diff --git a/alphapept/search.py b/alphapept/search.py index 5b486ed6..16fffe38 100644 --- a/alphapept/search.py +++ b/alphapept/search.py @@ -1011,97 +1011,103 @@ def search_fasta_block(to_process:tuple) -> (list, int): int: Number of new peptides that were generated in this iteration. """ + try: + fasta_index, fasta_block, ms_files, settings = to_process + + settings_ = settings[0] + spectra_block = settings_['fasta']['spectra_block'] + to_add = List() - fasta_index, fasta_block, ms_files, settings = to_process + psms_container = [list() for _ in ms_files] - settings_ = settings[0] - spectra_block = settings_['fasta']['spectra_block'] - to_add = List() + f_index = 0 - psms_container = [list() for _ in ms_files] + pept_dict = {} + for element in fasta_block: + sequence = element["sequence"] + mod_peptides = generate_peptides(sequence, **settings_['fasta']) - f_index = 0 + pept_dict, added_peptides = add_to_pept_dict(pept_dict, mod_peptides, fasta_index+f_index) - pept_dict = {} - for element in fasta_block: - sequence = element["sequence"] - mod_peptides = generate_peptides(sequence, **settings_['fasta']) + if len(added_peptides) > 0: + to_add.extend(added_peptides) - pept_dict, added_peptides = add_to_pept_dict(pept_dict, mod_peptides, fasta_index+f_index) + f_index += 1 - if len(added_peptides) > 0: - to_add.extend(added_peptides) - f_index += 1 + if len(to_add) > 0: + for seq_block in blocks(to_add, spectra_block): + spectra = generate_spectra(seq_block, mass_dict) - if len(to_add) > 0: - for seq_block in blocks(to_add, spectra_block): + precmasses, seqs, fragmasses, fragtypes = zip(*spectra) + sortindex = np.argsort(precmasses) - spectra = generate_spectra(seq_block, mass_dict) + fragmasses = np.array(fragmasses, dtype=object)[sortindex] + fragtypes = np.array(fragtypes, dtype=object)[sortindex] - precmasses, seqs, fragmasses, fragtypes = zip(*spectra) - sortindex = np.argsort(precmasses) + lens = [len(_) for _ in fragmasses] - fragmasses = np.array(fragmasses, dtype=object)[sortindex] - fragtypes = np.array(fragtypes, dtype=object)[sortindex] + n_frags = sum(lens) - lens = [len(_) for _ in fragmasses] + frags = np.zeros(n_frags, dtype=fragmasses[0].dtype) + frag_types = np.zeros(n_frags, dtype=fragtypes[0].dtype) - n_frags = sum(lens) + indices = np.zeros(len(lens) + 1, np.int64) + indices[1:] = lens + indices = np.cumsum(indices) - frags = np.zeros(n_frags, dtype=fragmasses[0].dtype) - frag_types = np.zeros(n_frags, dtype=fragtypes[0].dtype) + #Fill data - indices = np.zeros(len(lens) + 1, np.int64) - indices[1:] = lens - indices = np.cumsum(indices) + for _ in range(len(indices)-1): + start = indices[_] + end = indices[_+1] + frags[start:end] = fragmasses[_] + frag_types[start:end] = fragtypes[_] - #Fill data + db_data = {} - for _ in range(len(indices)-1): - start = indices[_] - end = indices[_+1] - frags[start:end] = fragmasses[_] - frag_types[start:end] = fragtypes[_] + db_data["precursors"] = np.array(precmasses)[sortindex] + db_data["seqs"] = np.array(seqs)[sortindex] - db_data = {} + db_data["fragmasses"] = frags + db_data["fragtypes"] = frag_types + db_data["indices"] = indices - db_data["precursors"] = np.array(precmasses)[sortindex] - db_data["seqs"] = np.array(seqs)[sortindex] + for file_idx, ms_file in enumerate(ms_files): + query_data = alphapept.io.MS_Data_File( + f"{ms_file}" + ).read_DDA_query_data(swmr=True) - db_data["fragmasses"] = frags - db_data["fragtypes"] = frag_types - db_data["indices"] = indices + try: + features = alphapept.io.MS_Data_File( + ms_file + ).read(dataset_name="features",swmr=True) + except FileNotFoundError: + features = None + except KeyError: + features = None - for file_idx, ms_file in enumerate(ms_files): - query_data = alphapept.io.MS_Data_File( - f"{ms_file}" - ).read_DDA_query_data(swmr=True) + psms, num_specs_compared = get_psms(query_data, db_data, features, **settings[file_idx]["search"]) - try: - features = alphapept.io.MS_Data_File( - ms_file - ).read(dataset_name="features",swmr=True) - except FileNotFoundError: - features = None - except KeyError: - features = None + if len(psms) > 0: + #This could be speed up.. + psms, fragment_ions = get_score_columns(psms, query_data, db_data, features, **settings[file_idx]["search"]) - psms, num_specs_compared = get_psms(query_data, db_data, features, **settings[file_idx]["search"]) + fasta_indices = [set(x for x in pept_dict[_]) for _ in psms['sequence']] - if len(psms) > 0: - #This could be speed up.. - psms, fragment_ions = get_score_columns(psms, query_data, db_data, features, **settings[file_idx]["search"]) + psms_df = pd.DataFrame(psms) + psms_df['fasta_index'] = fasta_indices - fasta_indices = [set(x for x in pept_dict[_]) for _ in psms['sequence']] + psms_container[file_idx].append(psms_df) - psms_df = pd.DataFrame(psms) - psms_df['fasta_index'] = fasta_indices + success = True - psms_container[file_idx].append(psms_df) + except Exception as e: + logging.error(f'Search of block {fasta_index} failed. Exception {e}.') + success = f"{e}" - return psms_container, len(to_add) + return psms_container, len(to_add), success # Cell diff --git a/nbs/05_search.ipynb b/nbs/05_search.ipynb index 2f464ec8..3b350069 100644 --- a/nbs/05_search.ipynb +++ b/nbs/05_search.ipynb @@ -1638,97 +1638,103 @@ " int: Number of new peptides that were generated in this iteration.\n", " \"\"\" \n", "\n", + " try:\n", + " fasta_index, fasta_block, ms_files, settings = to_process\n", "\n", - " fasta_index, fasta_block, ms_files, settings = to_process\n", - "\n", - " settings_ = settings[0]\n", - " spectra_block = settings_['fasta']['spectra_block']\n", - " to_add = List()\n", + " settings_ = settings[0]\n", + " spectra_block = settings_['fasta']['spectra_block']\n", + " to_add = List()\n", "\n", - " psms_container = [list() for _ in ms_files]\n", + " psms_container = [list() for _ in ms_files]\n", "\n", - " f_index = 0\n", + " f_index = 0\n", "\n", - " pept_dict = {}\n", - " for element in fasta_block:\n", - " sequence = element[\"sequence\"]\n", - " mod_peptides = generate_peptides(sequence, **settings_['fasta'])\n", + " pept_dict = {}\n", + " for element in fasta_block:\n", + " sequence = element[\"sequence\"]\n", + " mod_peptides = generate_peptides(sequence, **settings_['fasta'])\n", "\n", - " pept_dict, added_peptides = add_to_pept_dict(pept_dict, mod_peptides, fasta_index+f_index)\n", + " pept_dict, added_peptides = add_to_pept_dict(pept_dict, mod_peptides, fasta_index+f_index)\n", "\n", - " if len(added_peptides) > 0:\n", - " to_add.extend(added_peptides)\n", + " if len(added_peptides) > 0:\n", + " to_add.extend(added_peptides)\n", "\n", - " f_index += 1\n", + " f_index += 1\n", "\n", "\n", - " if len(to_add) > 0:\n", - " for seq_block in blocks(to_add, spectra_block):\n", + " if len(to_add) > 0:\n", + " for seq_block in blocks(to_add, spectra_block):\n", "\n", - " spectra = generate_spectra(seq_block, mass_dict)\n", + " spectra = generate_spectra(seq_block, mass_dict)\n", "\n", - " precmasses, seqs, fragmasses, fragtypes = zip(*spectra)\n", - " sortindex = np.argsort(precmasses)\n", + " precmasses, seqs, fragmasses, fragtypes = zip(*spectra)\n", + " sortindex = np.argsort(precmasses)\n", "\n", - " fragmasses = np.array(fragmasses, dtype=object)[sortindex]\n", - " fragtypes = np.array(fragtypes, dtype=object)[sortindex]\n", + " fragmasses = np.array(fragmasses, dtype=object)[sortindex]\n", + " fragtypes = np.array(fragtypes, dtype=object)[sortindex]\n", "\n", - " lens = [len(_) for _ in fragmasses]\n", + " lens = [len(_) for _ in fragmasses]\n", "\n", - " n_frags = sum(lens)\n", + " n_frags = sum(lens)\n", "\n", - " frags = np.zeros(n_frags, dtype=fragmasses[0].dtype)\n", - " frag_types = np.zeros(n_frags, dtype=fragtypes[0].dtype)\n", + " frags = np.zeros(n_frags, dtype=fragmasses[0].dtype)\n", + " frag_types = np.zeros(n_frags, dtype=fragtypes[0].dtype)\n", "\n", - " indices = np.zeros(len(lens) + 1, np.int64)\n", - " indices[1:] = lens\n", - " indices = np.cumsum(indices)\n", + " indices = np.zeros(len(lens) + 1, np.int64)\n", + " indices[1:] = lens\n", + " indices = np.cumsum(indices)\n", "\n", - " #Fill data\n", + " #Fill data\n", "\n", - " for _ in range(len(indices)-1):\n", - " start = indices[_]\n", - " end = indices[_+1]\n", - " frags[start:end] = fragmasses[_]\n", - " frag_types[start:end] = fragtypes[_]\n", + " for _ in range(len(indices)-1):\n", + " start = indices[_]\n", + " end = indices[_+1]\n", + " frags[start:end] = fragmasses[_]\n", + " frag_types[start:end] = fragtypes[_]\n", "\n", - " db_data = {}\n", + " db_data = {}\n", "\n", - " db_data[\"precursors\"] = np.array(precmasses)[sortindex]\n", - " db_data[\"seqs\"] = np.array(seqs)[sortindex]\n", + " db_data[\"precursors\"] = np.array(precmasses)[sortindex]\n", + " db_data[\"seqs\"] = np.array(seqs)[sortindex]\n", "\n", - " db_data[\"fragmasses\"] = frags\n", - " db_data[\"fragtypes\"] = frag_types\n", - " db_data[\"indices\"] = indices\n", + " db_data[\"fragmasses\"] = frags\n", + " db_data[\"fragtypes\"] = frag_types\n", + " db_data[\"indices\"] = indices\n", "\n", - " for file_idx, ms_file in enumerate(ms_files):\n", - " query_data = alphapept.io.MS_Data_File(\n", - " f\"{ms_file}\"\n", - " ).read_DDA_query_data(swmr=True)\n", + " for file_idx, ms_file in enumerate(ms_files):\n", + " query_data = alphapept.io.MS_Data_File(\n", + " f\"{ms_file}\"\n", + " ).read_DDA_query_data(swmr=True)\n", "\n", - " try:\n", - " features = alphapept.io.MS_Data_File(\n", - " ms_file\n", - " ).read(dataset_name=\"features\",swmr=True)\n", - " except FileNotFoundError:\n", - " features = None\n", - " except KeyError:\n", - " features = None\n", + " try:\n", + " features = alphapept.io.MS_Data_File(\n", + " ms_file\n", + " ).read(dataset_name=\"features\",swmr=True)\n", + " except FileNotFoundError:\n", + " features = None\n", + " except KeyError:\n", + " features = None\n", "\n", - " psms, num_specs_compared = get_psms(query_data, db_data, features, **settings[file_idx][\"search\"])\n", + " psms, num_specs_compared = get_psms(query_data, db_data, features, **settings[file_idx][\"search\"])\n", "\n", - " if len(psms) > 0:\n", - " #This could be speed up..\n", - " psms, fragment_ions = get_score_columns(psms, query_data, db_data, features, **settings[file_idx][\"search\"])\n", + " if len(psms) > 0:\n", + " #This could be speed up..\n", + " psms, fragment_ions = get_score_columns(psms, query_data, db_data, features, **settings[file_idx][\"search\"])\n", "\n", - " fasta_indices = [set(x for x in pept_dict[_]) for _ in psms['sequence']]\n", + " fasta_indices = [set(x for x in pept_dict[_]) for _ in psms['sequence']]\n", "\n", - " psms_df = pd.DataFrame(psms)\n", - " psms_df['fasta_index'] = fasta_indices\n", + " psms_df = pd.DataFrame(psms)\n", + " psms_df['fasta_index'] = fasta_indices\n", "\n", - " psms_container[file_idx].append(psms_df)\n", + " psms_container[file_idx].append(psms_df)\n", + " \n", + " success = True\n", "\n", - " return psms_container, len(to_add)" + " except Exception as e:\n", + " logging.error(f'Search of block {fasta_index} failed. Exception {e}.')\n", + " success = f\"{e}\"\n", + " \n", + " return psms_container, len(to_add), success" ] }, { diff --git a/sandbox/Systems_check.ipynb b/sandbox/Systems_check.ipynb index 7c27ad9c..377b8e5d 100644 --- a/sandbox/Systems_check.ipynb +++ b/sandbox/Systems_check.ipynb @@ -101,69 +101,69 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:33:18> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323003318.txt.\n", - "2022-03-23 00:33:18> Platform information:\n", - "2022-03-23 00:33:18> system - Windows\n", - "2022-03-23 00:33:18> release - 10\n", - "2022-03-23 00:33:18> version - 10.0.19044\n", - "2022-03-23 00:33:18> machine - AMD64\n", - "2022-03-23 00:33:18> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 00:33:18> cpu count - 24\n", - "2022-03-23 00:33:18> ram memory - 119.0/127.7 Gb (available/total)\n", - "2022-03-23 00:33:18> \n", - "2022-03-23 00:33:19> Python information:\n", - "2022-03-23 00:33:19> SQLAlchemy - 1.4.23\n", - "2022-03-23 00:33:19> alphapept - 0.4.3\n", - "2022-03-23 00:33:19> biopython - 1.78\n", - "2022-03-23 00:33:19> bumpversion - \n", - "2022-03-23 00:33:19> bumpversion> - \n", - "2022-03-23 00:33:19> click - 7.1.2\n", - "2022-03-23 00:33:19> click> - \n", - "2022-03-23 00:33:19> fastcore - 1.3.21\n", - "2022-03-23 00:33:19> h5py - 3.4.0\n", - "2022-03-23 00:33:19> jupyter - 1.0.0\n", - "2022-03-23 00:33:19> jupyter> - \n", - "2022-03-23 00:33:19> jupyter_contrib_nbextensions - \n", - "2022-03-23 00:33:19> jupyter_contrib_nbextensions> - \n", - "2022-03-23 00:33:19> matplotlib - 3.3.3\n", - "2022-03-23 00:33:19> nbdev - 1.1.23\n", - "2022-03-23 00:33:19> nbdev> - \n", - "2022-03-23 00:33:19> networkx - 2.6.3\n", - "2022-03-23 00:33:19> numba - 0.54.0\n", - "2022-03-23 00:33:19> numpy - 1.20.3\n", - "2022-03-23 00:33:19> pandas - 1.3.4\n", - "2022-03-23 00:33:19> plotly_express - 0.4.1\n", - "2022-03-23 00:33:19> psutil - 5.8.0\n", - "2022-03-23 00:33:19> pyinstaller - \n", - "2022-03-23 00:33:19> pyteomics - 4.4.2\n", - "2022-03-23 00:33:19> python - 3.8.12\n", - "2022-03-23 00:33:19> pythonnet - 2.5.2\n", - "2022-03-23 00:33:19> pywin32 - 225\n", - "2022-03-23 00:33:19> pyyaml - 5.4.1\n", - "2022-03-23 00:33:19> scikit-learn - 0.24.2\n", - "2022-03-23 00:33:19> scipy - 1.7.1\n", - "2022-03-23 00:33:19> streamlit - 1.2.0\n", - "2022-03-23 00:33:19> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 00:33:19> streamlit> - \n", - "2022-03-23 00:33:19> tables - 3.6.1\n", - "2022-03-23 00:33:19> tqdm - 4.56.0\n", - "2022-03-23 00:33:19> twine - \n", - "2022-03-23 00:33:19> twine> - \n", - "2022-03-23 00:33:19> watchdog - 2.1.5\n", - "2022-03-23 00:33:19> wget - 3.2\n", - "2022-03-23 00:33:19> \n", - "2022-03-23 00:33:19> Check for settings not completely implemented yet.\n", - "2022-03-23 00:33:19> Checking if files exist.\n", - "2022-03-23 00:33:19> FASTA Files have a total size of 0.15 Mb\n", - "2022-03-23 00:33:19> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 00:33:19> Shortnames not set. Setting to filename.\n", - "2022-03-23 00:33:19> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 00:33:19> Workflow has 11 steps\n", - "2022-03-23 00:33:19> ==== create_database ====\n", - "2022-03-23 00:33:19> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", - "2022-03-23 00:33:19> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\IRT_fasta.fasta with size 0.00 Mb.\n", - "2022-03-23 00:33:19> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", - "2022-03-23 00:33:19> Creating a new database from FASTA.\n" + "2022-03-27 00:35:35> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327003535.txt.\n", + "2022-03-27 00:35:35> Platform information:\n", + "2022-03-27 00:35:35> system - Windows\n", + "2022-03-27 00:35:35> release - 10\n", + "2022-03-27 00:35:35> version - 10.0.19044\n", + "2022-03-27 00:35:35> machine - AMD64\n", + "2022-03-27 00:35:35> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 00:35:35> cpu count - 24\n", + "2022-03-27 00:35:35> ram memory - 121.7/127.7 Gb (available/total)\n", + "2022-03-27 00:35:35> \n", + "2022-03-27 00:35:35> Python information:\n", + "2022-03-27 00:35:35> SQLAlchemy - 1.4.23\n", + "2022-03-27 00:35:35> alphapept - 0.4.4\n", + "2022-03-27 00:35:35> biopython - 1.78\n", + "2022-03-27 00:35:35> bumpversion - \n", + "2022-03-27 00:35:35> bumpversion> - \n", + "2022-03-27 00:35:35> click - 7.1.2\n", + "2022-03-27 00:35:35> click> - \n", + "2022-03-27 00:35:35> fastcore - 1.3.21\n", + "2022-03-27 00:35:35> h5py - 3.4.0\n", + "2022-03-27 00:35:35> jupyter - 1.0.0\n", + "2022-03-27 00:35:35> jupyter> - \n", + "2022-03-27 00:35:35> jupyter_contrib_nbextensions - \n", + "2022-03-27 00:35:35> jupyter_contrib_nbextensions> - \n", + "2022-03-27 00:35:35> matplotlib - 3.3.3\n", + "2022-03-27 00:35:35> nbdev - 1.1.23\n", + "2022-03-27 00:35:35> nbdev> - \n", + "2022-03-27 00:35:35> networkx - 2.6.3\n", + "2022-03-27 00:35:35> numba - 0.54.0\n", + "2022-03-27 00:35:35> numpy - 1.20.3\n", + "2022-03-27 00:35:35> pandas - 1.3.4\n", + "2022-03-27 00:35:35> plotly_express - 0.4.1\n", + "2022-03-27 00:35:35> psutil - 5.8.0\n", + "2022-03-27 00:35:35> pyinstaller - \n", + "2022-03-27 00:35:35> pyteomics - 4.4.2\n", + "2022-03-27 00:35:35> python - 3.8.12\n", + "2022-03-27 00:35:35> pythonnet - 2.5.2\n", + "2022-03-27 00:35:35> pywin32 - 225\n", + "2022-03-27 00:35:35> pyyaml - 5.4.1\n", + "2022-03-27 00:35:35> scikit-learn - 0.24.2\n", + "2022-03-27 00:35:35> scipy - 1.7.1\n", + "2022-03-27 00:35:35> streamlit - 1.2.0\n", + "2022-03-27 00:35:35> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 00:35:35> streamlit> - \n", + "2022-03-27 00:35:35> tables - 3.6.1\n", + "2022-03-27 00:35:35> tqdm - 4.56.0\n", + "2022-03-27 00:35:35> twine - \n", + "2022-03-27 00:35:35> twine> - \n", + "2022-03-27 00:35:35> watchdog - 2.1.5\n", + "2022-03-27 00:35:35> wget - 3.2\n", + "2022-03-27 00:35:35> \n", + "2022-03-27 00:35:35> Check for settings not completely implemented yet.\n", + "2022-03-27 00:35:35> Checking if files exist.\n", + "2022-03-27 00:35:35> FASTA Files have a total size of 0.145 Mb\n", + "2022-03-27 00:35:35> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 00:35:35> Shortnames not set. Setting to filename.\n", + "2022-03-27 00:35:35> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 00:35:35> Workflow has 11 steps\n", + "2022-03-27 00:35:35> ==== create_database ====\n", + "2022-03-27 00:35:35> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", + "2022-03-27 00:35:35> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\IRT_fasta.fasta with size 0.00 Mb.\n", + "2022-03-27 00:35:35> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", + "2022-03-27 00:35:35> Creating a new database from FASTA.\n" ] }, { @@ -178,7 +178,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:33:19> FASTA contains 247 entries.\n" + "2022-03-27 00:35:35> FASTA contains 247 entries.\n" ] }, { @@ -186,16 +186,16 @@ "output_type": "stream", "text": [ "\r", - "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [00:30<00:00, 30.16s/it]" + "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [00:30<00:00, 30.92s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:33:49> Digested 247 proteins and generated 48,722 spectra\n", - "2022-03-23 00:33:49> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 0.02 GB\n", - "2022-03-23 00:33:49> ==== import_raw_data ====\n" + "2022-03-27 00:36:06> Digested 247 proteins and generated 48,722 spectra\n", + "2022-03-27 00:36:07> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 0.02 GB\n", + "2022-03-27 00:36:07> ==== import_raw_data ====\n" ] }, { @@ -210,19 +210,19 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:33:49> Processing 1 files for step raw_conversion\n", - "2022-03-23 00:33:49> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT has extension .raw - converting from Thermo.\n", - "2022-03-23 00:33:53> File conversion complete. Extracted 2,603 precursors.\n", - "2022-03-23 00:33:54> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw complete.\n", - "2022-03-23 00:33:54> ==== feature_finding ====\n" + "2022-03-27 00:36:07> Processing 1 files for step raw_conversion\n", + "2022-03-27 00:36:07> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT has extension .raw - converting from Thermo.\n", + "2022-03-27 00:36:13> File conversion complete. Extracted 2,603 precursors.\n", + "2022-03-27 00:36:13> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw complete.\n", + "2022-03-27 00:36:13> ==== feature_finding ====\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [00:35<00:00, 35.09s/it]\n", - " 0%| | 0/1 [00:04 Processing 1 files for step find_features\n", - "2022-03-23 00:33:57> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf. Adding to feature finding list.\n", - "2022-03-23 00:33:57> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw\n", - "2022-03-23 00:33:57> Hill extraction with centroid_tol 8 and max_gap 2\n", - "2022-03-23 00:34:00> Number of hills 45,516, len = 20.18\n", - "2022-03-23 00:34:00> Repeating hill extraction with centroid_tol 5.10\n", - "2022-03-23 00:34:01> Number of hills 52,919, len = 21.29\n", - "2022-03-23 00:34:03> After duplicate removal of hills 43,950\n", - "2022-03-23 00:34:08> After split hill_ptrs 61,693\n", - "2022-03-23 00:34:09> After filter hill_ptrs 60,175\n", - "2022-03-23 00:34:21> Extracting hill stats complete\n", - "2022-03-23 00:34:23> Found 7,045 pre isotope patterns.\n", - "2022-03-23 00:34:38> Extracted 6,459 isotope patterns.\n", - "2022-03-23 00:34:46> Report complete.\n", - "2022-03-23 00:34:46> Matching features to query data.\n", - "2022-03-23 00:34:46> Saving feature table.\n", - "2022-03-23 00:34:46> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf\n", - "2022-03-23 00:34:46> Saving features.\n", - "2022-03-23 00:34:46> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw complete.\n", - "2022-03-23 00:34:46> ==== search_data ====\n" + "2022-03-27 00:36:14> Processing 1 files for step find_features\n", + "2022-03-27 00:36:14> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf. Adding to feature finding list.\n", + "2022-03-27 00:36:14> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw\n", + "2022-03-27 00:36:14> Hill extraction with centroid_tol 8 and max_gap 2\n", + "2022-03-27 00:36:18> Number of hills 45,516, len = 20.18\n", + "2022-03-27 00:36:18> Repeating hill extraction with centroid_tol 5.10\n", + "2022-03-27 00:36:19> Number of hills 52,919, len = 21.29\n", + "2022-03-27 00:36:21> After duplicate removal of hills 43,950\n", + "2022-03-27 00:36:27> After split hill_ptrs 61,693\n", + "2022-03-27 00:36:28> After filter hill_ptrs 60,175\n", + "2022-03-27 00:36:40> Extracting hill stats complete\n", + "2022-03-27 00:36:42> Found 7,045 pre isotope patterns.\n", + "2022-03-27 00:36:58> Extracted 6,459 isotope patterns.\n", + "2022-03-27 00:37:06> Report complete.\n", + "2022-03-27 00:37:06> Matching features to query data.\n", + "2022-03-27 00:37:06> Saving feature table.\n", + "2022-03-27 00:37:06> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf\n", + "2022-03-27 00:37:06> Saving features.\n", + "2022-03-27 00:37:07> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw complete.\n", + "2022-03-27 00:37:07> ==== search_data ====\n" ] }, { @@ -264,30 +264,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:34:46> Starting first search.\n", - "2022-03-23 00:34:46> Processing 1 files for step search_db\n", - "2022-03-23 00:34:46> Calibrating fragments\n", - "2022-03-23 00:34:48> Performing search on 2,986 query and 48,722 db entries with frag_tol = 30.00 and prec_tol = 30.00.\n" + "2022-03-27 00:37:07> Starting first search.\n", + "2022-03-27 00:37:07> Processing 1 files for step search_db\n", + "2022-03-27 00:37:07> Calibrating fragments\n", + "2022-03-27 00:37:08> Performing search on 2,986 query and 48,722 db entries with frag_tol = 30.00 and prec_tol = 30.00.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [00:51 Found 27 psms.\n", - "2022-03-23 00:34:49> Extracting columns for scoring.\n", - "2022-03-23 00:34:56> Extracted columns from 27 spectra.\n", - "2022-03-23 00:34:56> Saving first_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf\n", - "2022-03-23 00:34:56> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw complete.\n", - "2022-03-23 00:34:56> First search complete.\n", - "2022-03-23 00:34:56> ==== recalibrate_data ====\n" + "2022-03-27 00:37:10> Found 27 psms.\n", + "2022-03-27 00:37:10> Extracting columns for scoring.\n", + "2022-03-27 00:37:16> Extracted columns from 27 spectra.\n", + "2022-03-27 00:37:16> Saving first_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf\n", + "2022-03-27 00:37:16> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw complete.\n", + "2022-03-27 00:37:17> First search complete.\n", + "2022-03-27 00:37:17> ==== recalibrate_data ====\n" ] }, { @@ -302,24 +302,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:34:56> Processing 1 files for step calibrate_hdf\n", - "2022-03-23 00:34:56> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw.\n", - "2022-03-23 00:34:56> Scoring using X-Tandem\n", - "2022-03-23 00:34:56> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", - "2022-03-23 00:34:56> 15 target (0 decoy) of 15 PSMs. fdr 0.000000 for a cutoff of 18.90 (set fdr was 0.01)\n", - "2022-03-23 00:34:56> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw.\n", - "2022-03-23 00:34:56> Not enough data points present. Skipping recalibration.\n", - "2022-03-23 00:34:56> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf complete.\n", - "2022-03-23 00:34:56> Starting fragment calibration.\n", - "2022-03-23 00:34:56> Calibrating fragments with neighbors\n", - "2022-03-23 00:34:56> Scoring using X-Tandem\n", - "2022-03-23 00:34:56> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", - "2022-03-23 00:34:56> 15 target (0 decoy) of 15 PSMs. fdr 0.000000 for a cutoff of 18.90 (set fdr was 0.01)\n", - "2022-03-23 00:34:56> Minimum hits for fragments before score 7.31.\n", - "2022-03-23 00:34:56> Minimum hits for fragments after score 7.31.\n", - "2022-03-23 00:34:56> Not enough datapoints 245 for fragment calibration. Minimum is set to 400. Skipping fragment calibration.\n", - "2022-03-23 00:34:56> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf complete.\n", - "2022-03-23 00:34:56> ==== search_data ====\n" + "2022-03-27 00:37:17> Processing 1 files for step calibrate_hdf\n", + "2022-03-27 00:37:17> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw.\n", + "2022-03-27 00:37:17> Scoring using X-Tandem\n", + "2022-03-27 00:37:17> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", + "2022-03-27 00:37:17> 15 target (0 decoy) of 15 PSMs. fdr 0.000000 for a cutoff of 18.90 (set fdr was 0.01)\n", + "2022-03-27 00:37:17> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw.\n", + "2022-03-27 00:37:17> Not enough data points present. Skipping recalibration.\n", + "2022-03-27 00:37:17> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf complete.\n", + "2022-03-27 00:37:17> Starting fragment calibration.\n", + "2022-03-27 00:37:17> Calibrating fragments with neighbors\n", + "2022-03-27 00:37:17> Scoring using X-Tandem\n", + "2022-03-27 00:37:17> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", + "2022-03-27 00:37:17> 15 target (0 decoy) of 15 PSMs. fdr 0.000000 for a cutoff of 18.90 (set fdr was 0.01)\n", + "2022-03-27 00:37:17> Minimum hits for fragments before score 7.31.\n", + "2022-03-27 00:37:17> Minimum hits for fragments after score 7.31.\n", + "2022-03-27 00:37:17> Not enough datapoints 245 for fragment calibration. Minimum is set to 400. Skipping fragment calibration.\n", + "2022-03-27 00:37:17> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf complete.\n", + "2022-03-27 00:37:17> ==== search_data ====\n" ] }, { @@ -335,18 +335,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:34:56> Starting second search with DB.\n", - "2022-03-23 00:34:56> Processing 1 files for step search_db\n", - "2022-03-23 00:34:56> Found calibrated prec_tol with value 9.03\n", - "2022-03-23 00:34:56> 'Dataset estimated_max_fragment_ppm does not exist for group / of .'\n", - "2022-03-23 00:34:56> Performing search on 2,986 query and 48,722 db entries with frag_tol = 30.00 and prec_tol = 9.03.\n", - "2022-03-23 00:34:57> Found 26 psms.\n", - "2022-03-23 00:34:57> Extracting columns for scoring.\n", - "2022-03-23 00:34:57> Extracted columns from 26 spectra.\n", - "2022-03-23 00:34:57> Saving second_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf\n", - "2022-03-23 00:34:57> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw complete.\n", - "2022-03-23 00:34:57> Second search complete.\n", - "2022-03-23 00:34:57> ==== score ====\n" + "2022-03-27 00:37:17> Starting second search with DB.\n", + "2022-03-27 00:37:17> Processing 1 files for step search_db\n", + "2022-03-27 00:37:17> Found calibrated prec_tol with value 9.03\n", + "2022-03-27 00:37:17> 'Dataset estimated_max_fragment_ppm does not exist for group / of .'\n", + "2022-03-27 00:37:17> Performing search on 2,986 query and 48,722 db entries with frag_tol = 30.00 and prec_tol = 9.03.\n", + "2022-03-27 00:37:17> Found 26 psms.\n", + "2022-03-27 00:37:17> Extracting columns for scoring.\n", + "2022-03-27 00:37:17> Extracted columns from 26 spectra.\n", + "2022-03-27 00:37:17> Saving second_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.ms_data.hdf\n", + "2022-03-27 00:37:17> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_IRT.raw complete.\n", + "2022-03-27 00:37:18> Second search complete.\n", + "2022-03-27 00:37:18> ==== score ====\n" ] }, { @@ -363,31 +363,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:34:57> Processing 1 files for step score_hdf\n", - "2022-03-23 00:34:57> Calling score_hdf\n", - "2022-03-23 00:34:57> Found second search psms for scoring.\n", - "2022-03-23 00:34:57> Last q_value 0.000 of dataset is smaller than fdr_level 0.100\n", - "2022-03-23 00:34:57> 15 target (0 decoy) of 15 PSMs. fdr 0.000000 for a cutoff of 18.90 (set fdr was 0.1)\n", - "2022-03-23 00:34:58> The total number of available decoys is lower than the initial set of high scoring targets.\n", - "2022-03-23 00:34:58> ML failed. Defaulting to x_tandem score\n", - "2022-03-23 00:34:58> There are fewer high scoring targets or decoys than required by 'min_train'.\n", - "2022-03-23 00:34:58> Converting x_tandem score to probabilities\n", - "2022-03-23 00:34:58> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", - "2022-03-23 00:34:58> 25 target (0 decoy) of 25 PSMs. fdr 0.000000 for a cutoff of 0.04 (set fdr was 0.01)\n", - "2022-03-23 00:34:58> Saving identifications to ms_data file.\n", - "2022-03-23 00:34:58> Saving identifications to ms_data file complete.\n", - "2022-03-23 00:34:58> Saving identifications to csv file complete.\n", - "2022-03-23 00:34:58> Filter df with custom score\n", - "2022-03-23 00:34:58> Global FDR on precursor\n", - "2022-03-23 00:34:58> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", - "2022-03-23 00:34:58> 15 target (0 decoy) of 15 PSMs. fdr 0.000000 for a cutoff of 0.08 (set fdr was 0.01)\n", - "2022-03-23 00:34:58> Global FDR cutoff at 0.07692307692307693.\n", - "2022-03-23 00:34:58> FDR on peptides complete. For 0.01 FDR found 15 targets and 0 decoys.\n", - "2022-03-23 00:34:58> Extracting fragment_ions\n", - "2022-03-23 00:34:58> Extracting fragment_ions complete.\n", - "2022-03-23 00:34:58> Scoring of files [] complete.\n", - "2022-03-23 00:34:58> ==== isobaric_labeling ====\n", - "2022-03-23 00:34:58> ==== protein_grouping ====\n" + "2022-03-27 00:37:18> Processing 1 files for step score_hdf\n", + "2022-03-27 00:37:18> Calling score_hdf\n", + "2022-03-27 00:37:18> Found second search psms for scoring.\n", + "2022-03-27 00:37:18> Last q_value 0.000 of dataset is smaller than fdr_level 0.100\n", + "2022-03-27 00:37:18> 15 target (0 decoy) of 15 PSMs. fdr 0.000000 for a cutoff of 18.90 (set fdr was 0.1)\n", + "2022-03-27 00:37:18> The total number of available decoys is lower than the initial set of high scoring targets.\n", + "2022-03-27 00:37:18> ML failed. Defaulting to x_tandem score\n", + "2022-03-27 00:37:18> There are fewer high scoring targets or decoys than required by 'min_train'.\n", + "2022-03-27 00:37:18> Converting x_tandem score to probabilities\n", + "2022-03-27 00:37:18> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", + "2022-03-27 00:37:18> 25 target (0 decoy) of 25 PSMs. fdr 0.000000 for a cutoff of 0.04 (set fdr was 0.01)\n", + "2022-03-27 00:37:18> Saving identifications to ms_data file.\n", + "2022-03-27 00:37:18> Saving identifications to ms_data file complete.\n", + "2022-03-27 00:37:18> Saving identifications to csv file complete.\n", + "2022-03-27 00:37:18> Filter df with custom score\n", + "2022-03-27 00:37:18> Global FDR on precursor\n", + "2022-03-27 00:37:18> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", + "2022-03-27 00:37:18> 15 target (0 decoy) of 15 PSMs. fdr 0.000000 for a cutoff of 0.08 (set fdr was 0.01)\n", + "2022-03-27 00:37:18> Global FDR cutoff at 0.07692307692307693.\n", + "2022-03-27 00:37:18> FDR on peptides complete. For 0.01 FDR found 15 targets and 0 decoys.\n", + "2022-03-27 00:37:18> Extracting fragment_ions\n", + "2022-03-27 00:37:18> Extracting fragment_ions complete.\n", + "2022-03-27 00:37:19> Scoring of files [] complete.\n", + "2022-03-27 00:37:19> ==== isobaric_labeling ====\n", + "2022-03-27 00:37:19> ==== protein_grouping ====\n" ] }, { @@ -405,8 +405,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:34:58> Fasta dict with length 247, Pept dict with length 48,724\n", - "2022-03-23 00:34:58> Extracting protein groups.\n" + "2022-03-27 00:37:19> Fasta dict with length 247, Pept dict with length 48,724\n", + "2022-03-27 00:37:19> Extracting protein groups.\n" ] }, { @@ -425,22 +425,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:34:59> A total of 11 unique and 0 shared peptides.\n", - "2022-03-23 00:34:59> A total of 0 ambigious proteins\n", - "2022-03-23 00:34:59> A total of 0 unique and 0 shared peptides.\n", - "2022-03-23 00:34:59> A total of 0 ambigious proteins\n", - "2022-03-23 00:34:59> Global FDR on protein_group\n", - "2022-03-23 00:34:59> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", - "2022-03-23 00:34:59> 3 target (0 decoy) of 3 PSMs. fdr 0.000000 for a cutoff of 0.35 (set fdr was 0.01)\n", - "2022-03-23 00:34:59> Global FDR cutoff at 0.34615384615384615.\n", - "2022-03-23 00:34:59> FDR on proteins complete. For 0.01 FDR found 15 targets and 0 decoys. A total of 3 proteins found.\n", - "2022-03-23 00:34:59> Saving complete.\n", - "2022-03-23 00:34:59> Protein groups complete.\n", - "2022-03-23 00:34:59> ==== quantification ====\n", - "2022-03-23 00:34:59> Reading protein_fdr for quantification.\n", - "2022-03-23 00:34:59> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", - "2022-03-23 00:34:59> Complete.\n", - "2022-03-23 00:34:59> Starting profile extraction.\n" + "2022-03-27 00:37:19> A total of 11 unique and 0 shared peptides.\n", + "2022-03-27 00:37:19> A total of 0 ambigious proteins\n", + "2022-03-27 00:37:19> A total of 0 unique and 0 shared peptides.\n", + "2022-03-27 00:37:19> A total of 0 ambigious proteins\n", + "2022-03-27 00:37:19> Global FDR on protein_group\n", + "2022-03-27 00:37:19> Last q_value 0.000 of dataset is smaller than fdr_level 0.010\n", + "2022-03-27 00:37:19> 3 target (0 decoy) of 3 PSMs. fdr 0.000000 for a cutoff of 0.35 (set fdr was 0.01)\n", + "2022-03-27 00:37:19> Global FDR cutoff at 0.34615384615384615.\n", + "2022-03-27 00:37:19> FDR on proteins complete. For 0.01 FDR found 15 targets and 0 decoys. A total of 3 proteins found.\n", + "2022-03-27 00:37:19> Saving complete.\n", + "2022-03-27 00:37:19> Protein groups complete.\n", + "2022-03-27 00:37:19> ==== quantification ====\n", + "2022-03-27 00:37:19> Reading protein_fdr for quantification.\n", + "2022-03-27 00:37:19> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", + "2022-03-27 00:37:19> Complete.\n", + "2022-03-27 00:37:19> Starting profile extraction.\n" ] }, { @@ -466,13 +466,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:34:59> LFQ complete.\n", - "2022-03-23 00:34:59> Extracting protein_summary\n", - "2022-03-23 00:34:59> Saved protein_summary of length 3 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 00:34:59> Updating protein_fdr.\n", - "2022-03-23 00:34:59> Exporting as csv.\n", - "2022-03-23 00:34:59> Saved df of length 15 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 00:34:59> ==== export ====\n" + "2022-03-27 00:37:19> LFQ complete.\n", + "2022-03-27 00:37:19> Extracting protein_summary\n", + "2022-03-27 00:37:19> Saved protein_summary of length 3 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 00:37:19> Updating protein_fdr.\n", + "2022-03-27 00:37:19> Exporting as csv.\n", + "2022-03-27 00:37:19> Saved df of length 15 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 00:37:19> ==== export ====\n" ] }, { @@ -480,28 +480,15 @@ "output_type": "stream", "text": [ " 0%| | 0/1 [00:00 Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-23 00:34:59> Analysis complete.\n" + "2022-03-27 00:37:19> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 00:37:19> Analysis complete.\n" ] } ], @@ -527,73 +514,73 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:34:59> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", - "2022-03-23 00:35:01> No settings provided. Creating from default settings.\n", - "2022-03-23 00:35:01> Couldn't find compiled exe. Using Python version for testing.\n", - "2022-03-23 00:35:01> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323003501.txt.\n", - "2022-03-23 00:35:01> Platform information:\n", - "2022-03-23 00:35:01> system - Windows\n", - "2022-03-23 00:35:01> release - 10\n", - "2022-03-23 00:35:01> version - 10.0.19044\n", - "2022-03-23 00:35:01> machine - AMD64\n", - "2022-03-23 00:35:01> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 00:35:01> cpu count - 24\n", - "2022-03-23 00:35:01> ram memory - 115.7/127.7 Gb (available/total)\n", - "2022-03-23 00:35:01> \n", - "2022-03-23 00:35:01> Python information:\n", - "2022-03-23 00:35:01> SQLAlchemy - 1.4.23\n", - "2022-03-23 00:35:01> alphapept - 0.4.3\n", - "2022-03-23 00:35:01> biopython - 1.78\n", - "2022-03-23 00:35:01> bumpversion - \n", - "2022-03-23 00:35:01> bumpversion> - \n", - "2022-03-23 00:35:01> click - 7.1.2\n", - "2022-03-23 00:35:01> click> - \n", - "2022-03-23 00:35:01> fastcore - 1.3.21\n", - "2022-03-23 00:35:01> h5py - 3.4.0\n", - "2022-03-23 00:35:01> jupyter - 1.0.0\n", - "2022-03-23 00:35:01> jupyter> - \n", - "2022-03-23 00:35:01> jupyter_contrib_nbextensions - \n", - "2022-03-23 00:35:01> jupyter_contrib_nbextensions> - \n", - "2022-03-23 00:35:01> matplotlib - 3.3.3\n", - "2022-03-23 00:35:01> nbdev - 1.1.23\n", - "2022-03-23 00:35:01> nbdev> - \n", - "2022-03-23 00:35:01> networkx - 2.6.3\n", - "2022-03-23 00:35:01> numba - 0.54.0\n", - "2022-03-23 00:35:01> numpy - 1.20.3\n", - "2022-03-23 00:35:01> pandas - 1.3.4\n", - "2022-03-23 00:35:01> plotly_express - 0.4.1\n", - "2022-03-23 00:35:01> psutil - 5.8.0\n", - "2022-03-23 00:35:01> pyinstaller - \n", - "2022-03-23 00:35:01> pyteomics - 4.4.2\n", - "2022-03-23 00:35:01> python - 3.8.12\n", - "2022-03-23 00:35:02> pythonnet - 2.5.2\n", - "2022-03-23 00:35:02> pywin32 - 225\n", - "2022-03-23 00:35:02> pyyaml - 5.4.1\n", - "2022-03-23 00:35:02> scikit-learn - 0.24.2\n", - "2022-03-23 00:35:02> scipy - 1.7.1\n", - "2022-03-23 00:35:02> streamlit - 1.2.0\n", - "2022-03-23 00:35:02> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 00:35:02> streamlit> - \n", - "2022-03-23 00:35:02> tables - 3.6.1\n", - "2022-03-23 00:35:02> tqdm - 4.56.0\n", - "2022-03-23 00:35:02> twine - \n", - "2022-03-23 00:35:02> twine> - \n", - "2022-03-23 00:35:02> watchdog - 2.1.5\n", - "2022-03-23 00:35:02> wget - 3.2\n", - "2022-03-23 00:35:02> \n", - "2022-03-23 00:35:02> Check for settings not completely implemented yet.\n", - "2022-03-23 00:35:02> Checking if files exist.\n", - "2022-03-23 00:35:02> FASTA Files have a total size of 21.95 Mb\n", - "2022-03-23 00:35:02> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 00:35:02> Shortnames not set. Setting to filename.\n", - "2022-03-23 00:35:02> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 00:35:02> Workflow has 11 steps\n", - "2022-03-23 00:35:02> ==== create_database ====\n", - "2022-03-23 00:35:02> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", - "2022-03-23 00:35:02> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", - "2022-03-23 00:35:02> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\arabidopsis.fasta with size 8.84 Mb.\n", - "2022-03-23 00:35:02> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", - "2022-03-23 00:35:02> Creating a new database from FASTA.\n" + "2022-03-27 00:37:20> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", + "2022-03-27 00:37:21> No settings provided. Creating from default settings.\n", + "2022-03-27 00:37:21> Couldn't find compiled exe. Using Python version for testing.\n", + "2022-03-27 00:37:21> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327003721.txt.\n", + "2022-03-27 00:37:21> Platform information:\n", + "2022-03-27 00:37:21> system - Windows\n", + "2022-03-27 00:37:21> release - 10\n", + "2022-03-27 00:37:21> version - 10.0.19044\n", + "2022-03-27 00:37:21> machine - AMD64\n", + "2022-03-27 00:37:21> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 00:37:21> cpu count - 24\n", + "2022-03-27 00:37:21> ram memory - 118.5/127.7 Gb (available/total)\n", + "2022-03-27 00:37:21> \n", + "2022-03-27 00:37:21> Python information:\n", + "2022-03-27 00:37:21> SQLAlchemy - 1.4.23\n", + "2022-03-27 00:37:21> alphapept - 0.4.4\n", + "2022-03-27 00:37:21> biopython - 1.78\n", + "2022-03-27 00:37:21> bumpversion - \n", + "2022-03-27 00:37:21> bumpversion> - \n", + "2022-03-27 00:37:21> click - 7.1.2\n", + "2022-03-27 00:37:21> click> - \n", + "2022-03-27 00:37:21> fastcore - 1.3.21\n", + "2022-03-27 00:37:21> h5py - 3.4.0\n", + "2022-03-27 00:37:21> jupyter - 1.0.0\n", + "2022-03-27 00:37:21> jupyter> - \n", + "2022-03-27 00:37:21> jupyter_contrib_nbextensions - \n", + "2022-03-27 00:37:21> jupyter_contrib_nbextensions> - \n", + "2022-03-27 00:37:21> matplotlib - 3.3.3\n", + "2022-03-27 00:37:21> nbdev - 1.1.23\n", + "2022-03-27 00:37:21> nbdev> - \n", + "2022-03-27 00:37:21> networkx - 2.6.3\n", + "2022-03-27 00:37:21> numba - 0.54.0\n", + "2022-03-27 00:37:21> numpy - 1.20.3\n", + "2022-03-27 00:37:21> pandas - 1.3.4\n", + "2022-03-27 00:37:21> plotly_express - 0.4.1\n", + "2022-03-27 00:37:21> psutil - 5.8.0\n", + "2022-03-27 00:37:21> pyinstaller - \n", + "2022-03-27 00:37:21> pyteomics - 4.4.2\n", + "2022-03-27 00:37:21> python - 3.8.12\n", + "2022-03-27 00:37:21> pythonnet - 2.5.2\n", + "2022-03-27 00:37:21> pywin32 - 225\n", + "2022-03-27 00:37:21> pyyaml - 5.4.1\n", + "2022-03-27 00:37:21> scikit-learn - 0.24.2\n", + "2022-03-27 00:37:21> scipy - 1.7.1\n", + "2022-03-27 00:37:21> streamlit - 1.2.0\n", + "2022-03-27 00:37:21> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 00:37:21> streamlit> - \n", + "2022-03-27 00:37:21> tables - 3.6.1\n", + "2022-03-27 00:37:21> tqdm - 4.56.0\n", + "2022-03-27 00:37:21> twine - \n", + "2022-03-27 00:37:21> twine> - \n", + "2022-03-27 00:37:21> watchdog - 2.1.5\n", + "2022-03-27 00:37:21> wget - 3.2\n", + "2022-03-27 00:37:21> \n", + "2022-03-27 00:37:21> Check for settings not completely implemented yet.\n", + "2022-03-27 00:37:21> Checking if files exist.\n", + "2022-03-27 00:37:21> FASTA Files have a total size of 21.952 Mb\n", + "2022-03-27 00:37:21> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 00:37:21> Shortnames not set. Setting to filename.\n", + "2022-03-27 00:37:21> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 00:37:21> Workflow has 11 steps\n", + "2022-03-27 00:37:21> ==== create_database ====\n", + "2022-03-27 00:37:21> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", + "2022-03-27 00:37:21> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", + "2022-03-27 00:37:21> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\arabidopsis.fasta with size 8.84 Mb.\n", + "2022-03-27 00:37:21> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", + "2022-03-27 00:37:21> Creating a new database from FASTA.\n" ] }, { @@ -611,7 +598,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:35:02> FASTA contains 36,789 entries.\n" + "2022-03-27 00:37:22> FASTA contains 36,789 entries.\n" ] }, { @@ -626,160 +613,160 @@ "\n", "\n", "\n", - " 3%|█▋ | 0.02702702702702703/1 [01:25<51:15, 3160.77s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", + " 3%|█▋ | 0.02702702702702703/1 [01:26<51:43, 3190.04s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", - " 5%|███▍ | 0.05405405405405406/1 [01:27<21:05, 1338.27s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", + " 5%|███▍ | 0.05405405405405406/1 [01:27<21:15, 1348.74s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", - " 8%|█████▎ | 0.08108108108108109/1 [01:28<11:34, 755.25s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", + " 8%|█████▎ | 0.08108108108108109/1 [01:29<11:40, 762.00s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", - " 11%|███████ | 0.10810810810810811/1 [01:30<07:06, 478.54s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", + " 11%|███████ | 0.10810810810810811/1 [01:31<07:12, 485.46s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", - " 14%|████████▊ | 0.13513513513513514/1 [01:31<04:41, 325.45s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", + " 14%|████████▊ | 0.13513513513513514/1 [01:32<04:46, 331.46s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", - 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"2022-03-23 00:37:32> Digested 36,789 proteins and generated 8,624,766 spectra\n", - "2022-03-23 00:38:49> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 3.32 GB\n", - "2022-03-23 00:39:01> ==== import_raw_data ====\n" + "2022-03-27 00:39:54> Digested 36,789 proteins and generated 8,624,766 spectra\n", + "2022-03-27 00:41:17> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 3.32 GB\n", + "2022-03-27 00:41:30> ==== import_raw_data ====\n" ] }, { @@ -794,11 +781,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:39:01> Processing 1 files for step raw_conversion\n", - "2022-03-23 00:39:01> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa has extension .raw - converting from Thermo.\n", - "2022-03-23 00:40:57> File conversion complete. Extracted 120,226 precursors.\n", - "2022-03-23 00:40:59> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", - "2022-03-23 00:40:59> ==== feature_finding ====\n" + "2022-03-27 00:41:30> Processing 1 files for step raw_conversion\n", + "2022-03-27 00:41:30> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa has extension .raw - converting from Thermo.\n", + "2022-03-27 00:43:34> File conversion complete. Extracted 120,226 precursors.\n", + "2022-03-27 00:43:36> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", + "2022-03-27 00:43:36> ==== feature_finding ====\n" ] }, { @@ -813,66 +800,52 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:40:59> Processing 1 files for step find_features\n", - "2022-03-23 00:40:59> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf. Adding to feature finding list.\n", - "2022-03-23 00:40:59> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw\n", - "2022-03-23 00:40:59> Hill extraction with centroid_tol 8 and max_gap 2\n" + "2022-03-27 00:43:36> Processing 1 files for step find_features\n", + "2022-03-27 00:43:36> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf. Adding to feature finding list.\n", + "2022-03-27 00:43:36> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw\n", + "2022-03-27 00:43:36> Hill extraction with centroid_tol 8 and max_gap 2\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 0%| | 0/1 [02:02 Number of hills 1,105,353, len = 17.35\n" + "2022-03-27 00:43:41> Number of hills 1,105,353, len = 17.35\n", + "2022-03-27 00:43:41> Repeating hill extraction with centroid_tol 5.87\n", + "2022-03-27 00:43:45> Number of hills 1,227,331, len = 19.44\n", + "2022-03-27 00:43:46> After duplicate removal of hills 1,025,845\n", + "2022-03-27 00:43:56> After split hill_ptrs 1,207,373\n", + "2022-03-27 00:43:56> After filter hill_ptrs 1,188,406\n", + "2022-03-27 00:46:11> Extracting hill stats complete\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n" + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [08:57<00:00, 537.64s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:41:04> Repeating hill extraction with centroid_tol 5.87\n", - "2022-03-23 00:41:08> Number of hills 1,227,331, len = 19.44\n", - "2022-03-23 00:41:09> After duplicate removal of hills 1,025,845\n", - "2022-03-23 00:41:18> After split hill_ptrs 1,207,373\n", - "2022-03-23 00:41:19> After filter hill_ptrs 1,188,406\n", - "2022-03-23 00:43:26> Extracting hill stats complete\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [08:30<00:00, 510.59s/it]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-23 00:43:36> Found 184,383 pre isotope patterns.\n", - "2022-03-23 00:44:14> Extracted 198,779 isotope patterns.\n", - "2022-03-23 00:44:17> Report complete.\n", - "2022-03-23 00:44:17> Matching features to query data.\n", - "2022-03-23 00:44:19> Saving feature table.\n", - "2022-03-23 00:44:19> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", - "2022-03-23 00:44:19> Saving features.\n", - "2022-03-23 00:44:19> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", - "2022-03-23 00:44:19> ==== search_data ====\n" + "2022-03-27 00:46:22> Found 184,383 pre isotope patterns.\n", + "2022-03-27 00:47:04> Extracted 198,779 isotope patterns.\n", + "2022-03-27 00:47:07> Report complete.\n", + "2022-03-27 00:47:07> Matching features to query data.\n", + "2022-03-27 00:47:08> Saving feature table.\n", + "2022-03-27 00:47:08> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", + "2022-03-27 00:47:08> Saving features.\n", + "2022-03-27 00:47:09> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", + "2022-03-27 00:47:09> ==== search_data ====\n" ] }, { @@ -887,9 +860,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:44:19> Starting first search.\n", - "2022-03-23 00:44:19> Processing 1 files for step search_db\n", - "2022-03-23 00:44:20> Calibrating fragments\n" + "2022-03-27 00:47:09> Starting first search.\n", + "2022-03-27 00:47:09> Processing 1 files for step search_db\n", + "2022-03-27 00:47:09> Calibrating fragments\n" ] }, { @@ -906,27 +879,27 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:44:32> Performing search on 246,959 query and 8,624,766 db entries with frag_tol = 30.00 and prec_tol = 30.00.\n", - "2022-03-23 00:44:47> Found 676,773 psms.\n", - "2022-03-23 00:44:48> Extracting columns for scoring.\n" + "2022-03-27 00:47:23> Performing search on 246,959 query and 8,624,766 db entries with frag_tol = 30.00 and prec_tol = 30.00.\n", + "2022-03-27 00:47:38> Found 676,773 psms.\n", + "2022-03-27 00:47:38> Extracting columns for scoring.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [04:05 Extracted columns from 676,773 spectra.\n", - "2022-03-23 00:46:18> Saving first_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", - "2022-03-23 00:46:22> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", - "2022-03-23 00:46:48> First search complete.\n", - "2022-03-23 00:46:48> ==== recalibrate_data ====\n" + "2022-03-27 00:49:14> Extracted columns from 676,773 spectra.\n", + "2022-03-27 00:49:16> Saving first_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", + "2022-03-27 00:49:20> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", + "2022-03-27 00:49:47> First search complete.\n", + "2022-03-27 00:49:48> ==== recalibrate_data ====\n" ] }, { @@ -941,23 +914,23 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:46:48> Processing 1 files for step calibrate_hdf\n", - "2022-03-23 00:46:48> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", - "2022-03-23 00:46:49> Scoring using X-Tandem\n", - "2022-03-23 00:46:51> 37,873 target (378 decoy) of 127414 PSMs. fdr 0.009981 for a cutoff of 27.44 (set fdr was 0.01)\n", - "2022-03-23 00:46:51> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", - "2022-03-23 00:46:53> Precursor calibration std 0.99, 0.22\n", - "2022-03-23 00:46:53> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", - "2022-03-23 00:46:53> Starting fragment calibration.\n", - "2022-03-23 00:46:53> Calibrating fragments with neighbors\n", - "2022-03-23 00:46:55> Scoring using X-Tandem\n", - "2022-03-23 00:46:57> 37,873 target (378 decoy) of 127414 PSMs. fdr 0.009981 for a cutoff of 27.44 (set fdr was 0.01)\n", - "2022-03-23 00:46:58> Minimum hits for fragments before score 7.00.\n", - "2022-03-23 00:46:58> Minimum hits for fragments after score 8.07.\n", - "2022-03-23 00:47:46> Median offset (std) 11.36 (11.36) - after calibration 0.00 (10.12) Mad offset 3.70\n", - "2022-03-23 00:47:46> Saving calibration\n", - "2022-03-23 00:49:37> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", - "2022-03-23 00:49:37> ==== search_data ====\n" + "2022-03-27 00:49:48> Processing 1 files for step calibrate_hdf\n", + "2022-03-27 00:49:48> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", + "2022-03-27 00:49:49> Scoring using X-Tandem\n", + "2022-03-27 00:49:51> 37,873 target (378 decoy) of 127414 PSMs. fdr 0.009981 for a cutoff of 27.44 (set fdr was 0.01)\n", + "2022-03-27 00:49:51> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", + "2022-03-27 00:49:53> Precursor calibration std 0.99, 0.22\n", + "2022-03-27 00:49:53> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", + "2022-03-27 00:49:53> Starting fragment calibration.\n", + "2022-03-27 00:49:53> Calibrating fragments with neighbors\n", + "2022-03-27 00:49:55> Scoring using X-Tandem\n", + "2022-03-27 00:49:57> 37,873 target (378 decoy) of 127414 PSMs. fdr 0.009981 for a cutoff of 27.44 (set fdr was 0.01)\n", + "2022-03-27 00:49:58> Minimum hits for fragments before score 7.00.\n", + "2022-03-27 00:49:59> Minimum hits for fragments after score 8.07.\n", + "2022-03-27 00:50:50> Median offset (std) 11.36 (11.36) - after calibration 0.00 (10.12) Mad offset 3.70\n", + "2022-03-27 00:50:50> Saving calibration\n", + "2022-03-27 00:52:50> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", + "2022-03-27 00:52:50> ==== search_data ====\n" ] }, { @@ -973,32 +946,32 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:49:37> Starting second search with DB.\n", - "2022-03-23 00:49:37> Processing 1 files for step search_db\n", - "2022-03-23 00:49:37> Found calibrated prec_tol with value 4.95\n", - "2022-03-23 00:49:37> Found calibrated frag_tol with value 50.59\n", - "2022-03-23 00:49:39> Performing search on 246,959 query and 8,624,766 db entries with frag_tol = 50.59 and prec_tol = 4.95.\n", - "2022-03-23 00:49:43> Found 617,465 psms.\n", - "2022-03-23 00:49:43> Extracting columns for scoring.\n" + "2022-03-27 00:52:50> Starting second search with DB.\n", + "2022-03-27 00:52:50> Processing 1 files for step search_db\n", + "2022-03-27 00:52:50> Found calibrated prec_tol with value 4.95\n", + "2022-03-27 00:52:50> Found calibrated frag_tol with value 50.59\n", + "2022-03-27 00:52:52> Performing search on 246,959 query and 8,624,766 db entries with frag_tol = 50.59 and prec_tol = 4.95.\n", + "2022-03-27 00:52:56> Found 617,465 psms.\n", + "2022-03-27 00:52:57> Extracting columns for scoring.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [05:45 Extracted columns from 617,465 spectra.\n", - "2022-03-23 00:51:02> Saving second_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", - "2022-03-23 00:51:06> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", - "2022-03-23 00:51:30> Second search complete.\n", - "2022-03-23 00:51:31> ==== score ====\n" + "2022-03-27 00:54:20> Extracted columns from 617,465 spectra.\n", + "2022-03-27 00:54:21> Saving second_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", + "2022-03-27 00:54:26> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", + "2022-03-27 00:54:50> Second search complete.\n", + "2022-03-27 00:54:51> ==== score ====\n" ] }, { @@ -1013,30 +986,43 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:51:31> Processing 1 files for step score_hdf\n", - "2022-03-23 00:51:31> Calling score_hdf\n", - "2022-03-23 00:51:32> Found second search psms for scoring.\n", - "2022-03-23 00:51:42> 54,264 target (5,426 decoy) of 120635 PSMs. fdr 0.099993 for a cutoff of 24.04 (set fdr was 0.1)\n", - "2022-03-23 00:51:43> Training & cross-validation on 11725 targets and 11725 decoys\n", - "2022-03-23 00:52:00> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 250}\n", - "2022-03-23 00:52:00> The train accuracy was 0.9651599147121536\n", - "2022-03-23 00:52:00> Testing on 46901 targets and 46901 decoys\n", - "2022-03-23 00:52:01> The test accuracy was 0.9312061576512228\n", - "2022-03-23 00:52:01> Top features {'x_tandem': 0.2434738985548397, 'hits_y': 0.1755392742728591, 'hits': 0.15831829958592142, 'fragments_matched_n_ratio': 0.11055153902252252, 'n_fragments_matched': 0.08633014574380456, 'fragments_matched_int_ratio': 0.046909113526932084, 'n_missed': 0.023094066262479805, 'fragments_matched_int_sum': 0.018890925291005396, 'prec_offset': 0.012196252231390411, 'hits_b': 0.010207764591428813, 'delta_m_ppm_abs': 0.008664913628008844, 'prec_offset_ppm': 0.0079958193895641, 'delta_m_ppm': 0.006775326907643237, 'hits_y-NH3': 0.0066908679510693635, 'mz': 0.006605734880062653, 'mass_db': 0.005811524526097963, 'fragments_int_ratio': 0.005798659708110461, 'ms1_int_sum': 0.005694809119763272, 'hits_b-H2O': 0.005575292545822981, 'ms1_int_apex': 0.0050914112865628365, 'mass': 0.005002616649283969, 'hits_y-H2O': 0.004896655970372927, 'prec_offset_raw_ppm': 0.004667395987168878, 'fragments_int_sum': 0.004564356543726261, 'n_AA': 0.004223879197191334, 'prec_offset_raw': 0.003988942744466434, 'delta_m': 0.0037157945537917452, 'fwhm': 0.0030063791685498945, 'rt_start': 0.0026040023021323302, 'scan_no': 0.002515871513527731, 'rt_apex': 0.002486350504962379, 'rt_end': 0.002324366642821804, 'rt': 0.002314526918922098, 'charge': 0.002077803571132687, 'hits_b-NH3': 0.0012438789013572153, 'n_internal': 0.0001515398047029843, 'localexp': 0.0}\n", - "2022-03-23 00:52:06> 76,026 target (760 decoy) of 166429 PSMs. fdr 0.009997 for a cutoff of 0.84 (set fdr was 0.01)\n", - "2022-03-23 00:52:06> Saving identifications to ms_data file.\n", - "2022-03-23 00:52:07> Saving identifications to ms_data file complete.\n", - "2022-03-23 00:52:12> Saving identifications to csv file complete.\n", - "2022-03-23 00:52:12> Filter df with custom score\n", - "2022-03-23 00:52:13> Global FDR on precursor\n", - "2022-03-23 00:52:13> 48,022 target (480 decoy) of 119276 PSMs. fdr 0.009995 for a cutoff of 0.88 (set fdr was 0.01)\n", - "2022-03-23 00:52:13> Global FDR cutoff at 0.8799895048321322.\n", - "2022-03-23 00:52:14> FDR on peptides complete. For 0.01 FDR found 48,022 targets and 480 decoys.\n", - "2022-03-23 00:52:14> Extracting fragment_ions\n", - "2022-03-23 00:52:29> Extracting fragment_ions complete.\n", - "2022-03-23 00:52:30> Scoring of files [] complete.\n", - "2022-03-23 00:52:30> ==== isobaric_labeling ====\n", - "2022-03-23 00:52:30> ==== protein_grouping ====\n" + "2022-03-27 00:54:51> Processing 1 files for step score_hdf\n", + "2022-03-27 00:54:51> Calling score_hdf\n", + "2022-03-27 00:54:52> Found second search psms for scoring.\n", + "2022-03-27 00:55:03> 54,264 target (5,426 decoy) of 120635 PSMs. fdr 0.099993 for a cutoff of 24.04 (set fdr was 0.1)\n", + "2022-03-27 00:55:03> Training & cross-validation on 11725 targets and 11725 decoys\n", + "2022-03-27 00:55:21> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 250}\n", + "2022-03-27 00:55:21> The train accuracy was 0.9651599147121536\n", + "2022-03-27 00:55:21> Testing on 46901 targets and 46901 decoys\n", + "2022-03-27 00:55:21> The test accuracy was 0.9312061576512228\n", + "2022-03-27 00:55:21> Top features {'x_tandem': 0.2434738985548397, 'hits_y': 0.1755392742728591, 'hits': 0.15831829958592142, 'fragments_matched_n_ratio': 0.11055153902252252, 'n_fragments_matched': 0.08633014574380456, 'fragments_matched_int_ratio': 0.046909113526932084, 'n_missed': 0.023094066262479805, 'fragments_matched_int_sum': 0.018890925291005396, 'prec_offset': 0.012196252231390411, 'hits_b': 0.010207764591428813, 'delta_m_ppm_abs': 0.008664913628008844, 'prec_offset_ppm': 0.0079958193895641, 'delta_m_ppm': 0.006775326907643237, 'hits_y-NH3': 0.0066908679510693635, 'mz': 0.006605734880062653, 'mass_db': 0.005811524526097963, 'fragments_int_ratio': 0.005798659708110461, 'ms1_int_sum': 0.005694809119763272, 'hits_b-H2O': 0.005575292545822981, 'ms1_int_apex': 0.0050914112865628365, 'mass': 0.005002616649283969, 'hits_y-H2O': 0.004896655970372927, 'prec_offset_raw_ppm': 0.004667395987168878, 'fragments_int_sum': 0.004564356543726261, 'n_AA': 0.004223879197191334, 'prec_offset_raw': 0.003988942744466434, 'delta_m': 0.0037157945537917452, 'fwhm': 0.0030063791685498945, 'rt_start': 0.0026040023021323302, 'scan_no': 0.002515871513527731, 'rt_apex': 0.002486350504962379, 'rt_end': 0.002324366642821804, 'rt': 0.002314526918922098, 'charge': 0.002077803571132687, 'hits_b-NH3': 0.0012438789013572153, 'n_internal': 0.0001515398047029843, 'localexp': 0.0}\n", + "2022-03-27 00:55:27> 76,026 target (760 decoy) of 166429 PSMs. fdr 0.009997 for a cutoff of 0.84 (set fdr was 0.01)\n", + "2022-03-27 00:55:27> Saving identifications to ms_data file.\n", + "2022-03-27 00:55:28> Saving identifications to ms_data file complete.\n", + "2022-03-27 00:55:33> Saving identifications to csv file complete.\n", + "2022-03-27 00:55:33> Filter df with custom score\n", + "2022-03-27 00:55:34> Global FDR on precursor\n", + "2022-03-27 00:55:35> 48,022 target (480 decoy) of 119276 PSMs. fdr 0.009995 for a cutoff of 0.88 (set fdr was 0.01)\n", + "2022-03-27 00:55:35> Global FDR cutoff at 0.8799895048321322.\n", + "2022-03-27 00:55:35> FDR on peptides complete. For 0.01 FDR found 48,022 targets and 480 decoys.\n", + "2022-03-27 00:55:35> Extracting fragment_ions\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/1 [02:51 Extracting fragment_ions complete.\n", + "2022-03-27 00:55:53> Scoring of files [] complete.\n", + "2022-03-27 00:55:54> ==== isobaric_labeling ====\n", + "2022-03-27 00:55:54> ==== protein_grouping ====\n" ] }, { @@ -1051,8 +1037,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:52:30> Fasta dict with length 36,789, Pept dict with length 8,624,772\n", - "2022-03-23 00:52:30> Extracting protein groups.\n" + "2022-03-27 00:55:54> Fasta dict with length 36,789, Pept dict with length 8,624,772\n", + "2022-03-27 00:55:54> Extracting protein groups.\n" ] }, { @@ -1061,15 +1047,14 @@ "text": [ "\n", "\n", - "\n", - " 0%| | 0/1 [00:00 A total of 39,303 unique and 2,602 shared peptides.\n" + "2022-03-27 00:55:54> A total of 39,303 unique and 2,602 shared peptides.\n" ] }, { @@ -1083,17 +1068,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:52:32> A total of 803 ambigious proteins\n", - "2022-03-23 00:52:32> A total of 458 unique and 21 shared peptides.\n", - "2022-03-23 00:52:32> A total of 21 ambigious proteins\n", - "2022-03-23 00:52:32> Global FDR on protein_group\n", - "2022-03-23 00:52:32> 5,734 target (57 decoy) of 6913 PSMs. fdr 0.009941 for a cutoff of 0.97 (set fdr was 0.01)\n", - "2022-03-23 00:52:32> Global FDR cutoff at 0.9739365972708433.\n", - "2022-03-23 00:52:32> FDR on proteins complete. For 0.01 FDR found 47,258 targets and 58 decoys. A total of 5,791 proteins found.\n", - "2022-03-23 00:52:32> Saving complete.\n", - "2022-03-23 00:52:32> Protein groups complete.\n", - "2022-03-23 00:52:32> ==== quantification ====\n", - "2022-03-23 00:52:32> Reading protein_fdr for quantification.\n" + "2022-03-27 00:55:55> A total of 803 ambigious proteins\n", + "2022-03-27 00:55:55> A total of 458 unique and 21 shared peptides.\n", + "2022-03-27 00:55:56> A total of 21 ambigious proteins\n", + "2022-03-27 00:55:56> Global FDR on protein_group\n", + "2022-03-27 00:55:56> 5,734 target (57 decoy) of 6913 PSMs. fdr 0.009941 for a cutoff of 0.97 (set fdr was 0.01)\n", + "2022-03-27 00:55:56> Global FDR cutoff at 0.9739365972708433.\n", + "2022-03-27 00:55:56> FDR on proteins complete. For 0.01 FDR found 47,258 targets and 58 decoys. A total of 5,791 proteins found.\n", + "2022-03-27 00:55:56> Saving complete.\n", + "2022-03-27 00:55:56> Protein groups complete.\n", + "2022-03-27 00:55:56> ==== quantification ====\n", + "2022-03-27 00:55:56> Reading protein_fdr for quantification.\n" ] }, { @@ -1114,9 +1099,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:52:33> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", - "2022-03-23 00:52:33> Complete.\n", - "2022-03-23 00:52:33> Starting profile extraction.\n" + "2022-03-27 00:55:56> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", + "2022-03-27 00:55:57> Complete.\n", + "2022-03-27 00:55:57> Starting profile extraction.\n" ] }, { @@ -1131,36 +1116,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:52:33> LFQ complete.\n", - "2022-03-23 00:52:33> Extracting protein_summary\n", - "2022-03-23 00:52:33> Saved protein_summary of length 5,791 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 00:52:33> Updating protein_fdr.\n", - "2022-03-23 00:52:33> Exporting as csv.\n", - "2022-03-23 00:52:35> Saved df of length 47,316 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 00:52:35> ==== export ====\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:05<00:00, 5.56s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-23 00:52:38> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", - "2022-03-23 00:52:38> Analysis complete.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" + "2022-03-27 00:55:57> LFQ complete.\n", + "2022-03-27 00:55:57> Extracting protein_summary\n", + "2022-03-27 00:55:57> Saved protein_summary of length 5,791 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 00:55:57> Updating protein_fdr.\n", + "2022-03-27 00:55:57> Exporting as csv.\n", + "2022-03-27 00:55:59> Saved df of length 47,316 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 00:55:59> ==== export ====\n", + "2022-03-27 00:56:03> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 00:56:03> Analysis complete.\n" ] }, { @@ -1174,6 +1138,13 @@ "needs_background": "light" }, "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [01:05<00:00, 65.31s/it]\n" + ] } ], "source": [ @@ -1275,7 +1246,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1336,13 +1307,13 @@ "output_type": "stream", "text": [ "--- ML ---\n", - "2022-03-23 00:53:48> 54,264 target (5,426 decoy) of 120635 PSMs. fdr 0.099993 for a cutoff of 24.04 (set fdr was 0.1)\n", - "2022-03-23 00:53:48> Training & cross-validation on 11725 targets and 11725 decoys\n", - "2022-03-23 00:54:03> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 200}\n", - "2022-03-23 00:54:03> The train accuracy was 0.9617484008528785\n", - "2022-03-23 00:54:03> Testing on 46901 targets and 46901 decoys\n", - "2022-03-23 00:54:04> The test accuracy was 0.9315899447772968\n", - "2022-03-23 00:54:04> Top features {'x_tandem': 0.3205538790468232, 'hits': 0.18102960601190066, 'hits_y': 0.12635814408756318, 'n_fragments_matched': 0.08352093578287043, 'fragments_matched_n_ratio': 0.06933489823002778, 'n_missed': 0.035647881324200076, 'fragments_matched_int_ratio': 0.03237304912414941, 'hits_y-NH3': 0.013840210561678931, 'delta_m_ppm_abs': 0.01298879982240909, 'fragments_matched_int_sum': 0.012654302343657104, 'hits_b': 0.010779463959265066, 'hits_y-H2O': 0.009653498809619597, 'prec_offset_ppm': 0.009048962214601186, 'prec_offset': 0.008169839860971091, 'mz': 0.006736969106955232, 'ms1_int_sum': 0.005183803752743903, 'ms1_int_apex': 0.004782789805346347, 'fragments_int_ratio': 0.004706213055845432, 'mass_db': 0.004637483575408945, 'mass': 0.004560934490520799, 'n_AA': 0.0043418530471849535, 'delta_m': 0.00419435477055145, 'prec_offset_raw': 0.004036328739190127, 'fragments_int_sum': 0.0037400058086996418, 'delta_m_ppm': 0.0036924985693337414, 'prec_offset_raw_ppm': 0.0033992282542292325, 'hits_b-H2O': 0.003191077546706056, 'fwhm': 0.002536311080395996, 'rt_end': 0.0022635600623725207, 'rt_start': 0.0021455057802517914, 'rt_apex': 0.002128496473929703, 'charge': 0.0019740657893648275, 'rt': 0.0019453966453515097, 'scan_no': 0.0019360017375408373, 'hits_b-NH3': 0.001839669786288909, 'n_internal': 7.398094205122185e-05}\n" + "2022-03-27 00:57:17> 54,264 target (5,426 decoy) of 120635 PSMs. fdr 0.099993 for a cutoff of 24.04 (set fdr was 0.1)\n", + "2022-03-27 00:57:17> Training & cross-validation on 11725 targets and 11725 decoys\n", + "2022-03-27 00:57:33> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 200}\n", + "2022-03-27 00:57:33> The train accuracy was 0.9617484008528785\n", + "2022-03-27 00:57:33> Testing on 46901 targets and 46901 decoys\n", + "2022-03-27 00:57:34> The test accuracy was 0.9315899447772968\n", + "2022-03-27 00:57:34> Top features {'x_tandem': 0.3205538790468232, 'hits': 0.18102960601190066, 'hits_y': 0.12635814408756318, 'n_fragments_matched': 0.08352093578287043, 'fragments_matched_n_ratio': 0.06933489823002778, 'n_missed': 0.035647881324200076, 'fragments_matched_int_ratio': 0.03237304912414941, 'hits_y-NH3': 0.013840210561678931, 'delta_m_ppm_abs': 0.01298879982240909, 'fragments_matched_int_sum': 0.012654302343657104, 'hits_b': 0.010779463959265066, 'hits_y-H2O': 0.009653498809619597, 'prec_offset_ppm': 0.009048962214601186, 'prec_offset': 0.008169839860971091, 'mz': 0.006736969106955232, 'ms1_int_sum': 0.005183803752743903, 'ms1_int_apex': 0.004782789805346347, 'fragments_int_ratio': 0.004706213055845432, 'mass_db': 0.004637483575408945, 'mass': 0.004560934490520799, 'n_AA': 0.0043418530471849535, 'delta_m': 0.00419435477055145, 'prec_offset_raw': 0.004036328739190127, 'fragments_int_sum': 0.0037400058086996418, 'delta_m_ppm': 0.0036924985693337414, 'prec_offset_raw_ppm': 0.0033992282542292325, 'hits_b-H2O': 0.003191077546706056, 'fwhm': 0.002536311080395996, 'rt_end': 0.0022635600623725207, 'rt_start': 0.0021455057802517914, 'rt_apex': 0.002128496473929703, 'charge': 0.0019740657893648275, 'rt': 0.0019453966453515097, 'scan_no': 0.0019360017375408373, 'hits_b-NH3': 0.001839669786288909, 'n_internal': 7.398094205122185e-05}\n" ] }, { @@ -1361,9 +1332,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:54:04> Filter df with x_tandem score\n", - "2022-03-23 00:54:09> Global FDR on precursor\n", - "2022-03-23 00:54:10> 47,915 target (479 decoy) of 119105 PSMs. fdr 0.009997 for a cutoff of 0.89 (set fdr was 0.01)\n" + "2022-03-27 00:57:35> Filter df with x_tandem score\n", + "2022-03-27 00:57:40> Global FDR on precursor\n", + "2022-03-27 00:57:40> 47,915 target (479 decoy) of 119105 PSMs. fdr 0.009997 for a cutoff of 0.89 (set fdr was 0.01)\n" ] }, { @@ -1394,12 +1365,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:54:10> Global FDR cutoff at 0.8858307213919153.\n", + "2022-03-27 00:57:41> Global FDR cutoff at 0.8858307213919153.\n", "--- x! ---\n", - "2022-03-23 00:54:11> Filter df with x_tandem score\n", - "2022-03-23 00:54:11> Global FDR on precursor\n", - "2022-03-23 00:54:11> Last q_value 0.010 of dataset is smaller than fdr_level 0.010\n", - "2022-03-23 00:54:11> 47,915 target (479 decoy) of 48394 PSMs. fdr 0.009997 for a cutoff of 24.04 (set fdr was 0.01)\n" + "2022-03-27 00:57:41> Filter df with x_tandem score\n", + "2022-03-27 00:57:41> Global FDR on precursor\n", + "2022-03-27 00:57:41> Last q_value 0.010 of dataset is smaller than fdr_level 0.010\n", + "2022-03-27 00:57:41> 47,915 target (479 decoy) of 48394 PSMs. fdr 0.009997 for a cutoff of 24.04 (set fdr was 0.01)\n" ] }, { @@ -1430,7 +1401,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:54:12> Global FDR cutoff at 24.03892734307653.\n" + "2022-03-27 00:57:42> Global FDR cutoff at 24.03892734307653.\n" ] } ], @@ -1472,72 +1443,72 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:54:13> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", - "2022-03-23 00:54:13> No settings provided. Creating from default settings.\n", - "2022-03-23 00:54:14> Couldn't find compiled exe. Using Python version for testing.\n", - "2022-03-23 00:54:14> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323005414.txt.\n", - "2022-03-23 00:54:14> Platform information:\n", - "2022-03-23 00:54:14> system - Windows\n", - "2022-03-23 00:54:14> release - 10\n", - "2022-03-23 00:54:14> version - 10.0.19044\n", - "2022-03-23 00:54:14> machine - AMD64\n", - "2022-03-23 00:54:14> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 00:54:14> cpu count - 24\n", - "2022-03-23 00:54:14> ram memory - 114.3/127.7 Gb (available/total)\n", - "2022-03-23 00:54:14> \n", - "2022-03-23 00:54:14> Python information:\n", - "2022-03-23 00:54:14> SQLAlchemy - 1.4.23\n", - "2022-03-23 00:54:14> alphapept - 0.4.3\n", - "2022-03-23 00:54:14> biopython - 1.78\n", - "2022-03-23 00:54:14> bumpversion - \n", - "2022-03-23 00:54:14> bumpversion> - \n", - "2022-03-23 00:54:14> click - 7.1.2\n", - "2022-03-23 00:54:14> click> - \n", - "2022-03-23 00:54:14> fastcore - 1.3.21\n", - "2022-03-23 00:54:14> h5py - 3.4.0\n", - "2022-03-23 00:54:14> jupyter - 1.0.0\n", - "2022-03-23 00:54:14> jupyter> - \n", - "2022-03-23 00:54:14> jupyter_contrib_nbextensions - \n", - "2022-03-23 00:54:14> jupyter_contrib_nbextensions> - \n", - "2022-03-23 00:54:14> matplotlib - 3.3.3\n", - "2022-03-23 00:54:14> nbdev - 1.1.23\n", - "2022-03-23 00:54:14> nbdev> - \n", - "2022-03-23 00:54:14> networkx - 2.6.3\n", - "2022-03-23 00:54:14> numba - 0.54.0\n", - "2022-03-23 00:54:14> numpy - 1.20.3\n", - "2022-03-23 00:54:14> pandas - 1.3.4\n", - "2022-03-23 00:54:14> plotly_express - 0.4.1\n", - "2022-03-23 00:54:14> psutil - 5.8.0\n", - "2022-03-23 00:54:14> pyinstaller - \n", - "2022-03-23 00:54:14> pyteomics - 4.4.2\n", - "2022-03-23 00:54:14> python - 3.8.12\n", - "2022-03-23 00:54:14> pythonnet - 2.5.2\n", - "2022-03-23 00:54:14> pywin32 - 225\n", - "2022-03-23 00:54:14> pyyaml - 5.4.1\n", - "2022-03-23 00:54:14> scikit-learn - 0.24.2\n", - "2022-03-23 00:54:14> scipy - 1.7.1\n", - "2022-03-23 00:54:14> streamlit - 1.2.0\n", - "2022-03-23 00:54:14> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 00:54:14> streamlit> - \n", - "2022-03-23 00:54:14> tables - 3.6.1\n", - "2022-03-23 00:54:14> tqdm - 4.56.0\n", - "2022-03-23 00:54:14> twine - \n", - "2022-03-23 00:54:14> twine> - \n", - "2022-03-23 00:54:14> watchdog - 2.1.5\n", - "2022-03-23 00:54:14> wget - 3.2\n", - "2022-03-23 00:54:14> \n", - "2022-03-23 00:54:14> Check for settings not completely implemented yet.\n", - "2022-03-23 00:54:14> Checking if files exist.\n", - "2022-03-23 00:54:14> FASTA Files have a total size of 13.12 Mb\n", - "2022-03-23 00:54:14> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 00:54:14> Shortnames not set. Setting to filename.\n", - "2022-03-23 00:54:14> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 00:54:14> Workflow has 11 steps\n", - "2022-03-23 00:54:14> ==== create_database ====\n", - "2022-03-23 00:54:14> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", - "2022-03-23 00:54:14> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", - "2022-03-23 00:54:14> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", - "2022-03-23 00:54:14> Creating a new database from FASTA.\n" + "2022-03-27 00:57:43> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", + "2022-03-27 00:57:44> No settings provided. Creating from default settings.\n", + "2022-03-27 00:57:44> Couldn't find compiled exe. Using Python version for testing.\n", + "2022-03-27 00:57:44> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327005744.txt.\n", + "2022-03-27 00:57:44> Platform information:\n", + "2022-03-27 00:57:44> system - Windows\n", + "2022-03-27 00:57:44> release - 10\n", + "2022-03-27 00:57:44> version - 10.0.19044\n", + "2022-03-27 00:57:44> machine - AMD64\n", + "2022-03-27 00:57:44> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 00:57:44> cpu count - 24\n", + "2022-03-27 00:57:44> ram memory - 116.9/127.7 Gb (available/total)\n", + "2022-03-27 00:57:44> \n", + "2022-03-27 00:57:44> Python information:\n", + "2022-03-27 00:57:44> SQLAlchemy - 1.4.23\n", + "2022-03-27 00:57:44> alphapept - 0.4.4\n", + "2022-03-27 00:57:44> biopython - 1.78\n", + "2022-03-27 00:57:44> bumpversion - \n", + "2022-03-27 00:57:44> bumpversion> - \n", + "2022-03-27 00:57:44> click - 7.1.2\n", + "2022-03-27 00:57:44> click> - \n", + "2022-03-27 00:57:44> fastcore - 1.3.21\n", + "2022-03-27 00:57:44> h5py - 3.4.0\n", + "2022-03-27 00:57:44> jupyter - 1.0.0\n", + "2022-03-27 00:57:44> jupyter> - \n", + "2022-03-27 00:57:44> jupyter_contrib_nbextensions - \n", + "2022-03-27 00:57:44> jupyter_contrib_nbextensions> - \n", + "2022-03-27 00:57:44> matplotlib - 3.3.3\n", + "2022-03-27 00:57:44> nbdev - 1.1.23\n", + "2022-03-27 00:57:44> nbdev> - \n", + "2022-03-27 00:57:44> networkx - 2.6.3\n", + "2022-03-27 00:57:44> numba - 0.54.0\n", + "2022-03-27 00:57:44> numpy - 1.20.3\n", + "2022-03-27 00:57:44> pandas - 1.3.4\n", + "2022-03-27 00:57:44> plotly_express - 0.4.1\n", + "2022-03-27 00:57:44> psutil - 5.8.0\n", + "2022-03-27 00:57:44> pyinstaller - \n", + "2022-03-27 00:57:44> pyteomics - 4.4.2\n", + "2022-03-27 00:57:44> python - 3.8.12\n", + "2022-03-27 00:57:44> pythonnet - 2.5.2\n", + "2022-03-27 00:57:44> pywin32 - 225\n", + "2022-03-27 00:57:44> pyyaml - 5.4.1\n", + "2022-03-27 00:57:44> scikit-learn - 0.24.2\n", + "2022-03-27 00:57:44> scipy - 1.7.1\n", + "2022-03-27 00:57:44> streamlit - 1.2.0\n", + "2022-03-27 00:57:44> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 00:57:44> streamlit> - \n", + "2022-03-27 00:57:44> tables - 3.6.1\n", + "2022-03-27 00:57:44> tqdm - 4.56.0\n", + "2022-03-27 00:57:44> twine - \n", + "2022-03-27 00:57:44> twine> - \n", + "2022-03-27 00:57:44> watchdog - 2.1.5\n", + "2022-03-27 00:57:44> wget - 3.2\n", + "2022-03-27 00:57:44> \n", + "2022-03-27 00:57:44> Check for settings not completely implemented yet.\n", + "2022-03-27 00:57:44> Checking if files exist.\n", + "2022-03-27 00:57:44> FASTA Files have a total size of 13.116 Mb\n", + "2022-03-27 00:57:44> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 00:57:44> Shortnames not set. Setting to filename.\n", + "2022-03-27 00:57:44> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 00:57:44> Workflow has 11 steps\n", + "2022-03-27 00:57:44> ==== create_database ====\n", + "2022-03-27 00:57:44> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", + "2022-03-27 00:57:44> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", + "2022-03-27 00:57:44> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", + "2022-03-27 00:57:44> Creating a new database from FASTA.\n" ] }, { @@ -1552,7 +1523,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:54:14> FASTA contains 20,611 entries.\n" + "2022-03-27 00:57:45> FASTA contains 20,611 entries.\n" ] }, { @@ -1560,39 +1531,38 @@ "output_type": "stream", "text": [ "\n", - " 5%|███ | 0.047619047619047616/1 [01:02<20:51, 1314.51s/it]\u001b[A\n", - " 10%|██████▏ | 0.09523809523809523/1 [01:19<11:20, 751.99s/it]\u001b[A\n", - " 14%|█████████▎ | 0.14285714285714285/1 [01:20<06:00, 421.14s/it]\u001b[A\n", - " 19%|████████████▍ | 0.19047619047619047/1 [01:22<03:33, 264.23s/it]\u001b[A\n", - " 24%|███████████████▍ | 0.23809523809523808/1 [01:23<02:15, 177.24s/it]\u001b[A\n", - " 29%|██████████████████▊ | 0.2857142857142857/1 [01:24<01:28, 124.03s/it]\u001b[A\n", - " 33%|██████████████████████▎ | 0.3333333333333333/1 [01:25<00:59, 89.89s/it]\u001b[A\n", - " 38%|█████████████████████████▏ | 0.38095238095238093/1 [01:26<00:42, 67.88s/it]\u001b[A\n", - " 43%|████████████████████████████▎ | 0.42857142857142855/1 [01:27<00:30, 53.04s/it]\u001b[A\n", - " 48%|███████████████████████████████▍ | 0.47619047619047616/1 [01:28<00:22, 43.07s/it]\u001b[A\n", - " 52%|███████████████████████████████████ | 0.5238095238095238/1 [01:28<00:17, 35.77s/it]\u001b[A\n", - " 57%|██████████████████████████████████████▎ | 0.5714285714285714/1 [01:29<00:13, 30.61s/it]\u001b[A\n", - " 0%| | 0/1 [06:09 Digested 20,611 proteins and generated 5,076,854 spectra\n", - "2022-03-23 00:56:47> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 1.94 GB\n", - "2022-03-23 00:56:54> ==== import_raw_data ====\n" + "2022-03-27 00:59:37> Digested 20,611 proteins and generated 5,076,854 spectra\n", + "2022-03-27 01:00:24> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 1.94 GB\n", + "2022-03-27 01:00:31> ==== import_raw_data ====\n" ] }, { @@ -1607,11 +1577,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:56:54> Processing 1 files for step raw_conversion\n", - "2022-03-23 00:56:54> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1 has extension .raw - converting from Thermo.\n", - "2022-03-23 00:57:38> File conversion complete. Extracted 70,210 precursors.\n", - "2022-03-23 00:57:39> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw complete.\n", - "2022-03-23 00:57:39> ==== feature_finding ====\n" + "2022-03-27 01:00:31> Processing 1 files for step raw_conversion\n", + "2022-03-27 01:00:31> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1 has extension .raw - converting from Thermo.\n", + "2022-03-27 01:01:17> File conversion complete. Extracted 70,210 precursors.\n", + "2022-03-27 01:01:18> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw complete.\n", + "2022-03-27 01:01:18> ==== feature_finding ====\n" ] }, { @@ -1627,52 +1597,39 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 00:57:39> Processing 1 files for step find_features\n", - "2022-03-23 00:57:39> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf. Adding to feature finding list.\n", - "2022-03-23 00:57:39> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw\n", - "2022-03-23 00:57:39> Hill extraction with centroid_tol 8 and max_gap 2\n" + "2022-03-27 01:01:18> Processing 1 files for step find_features\n", + "2022-03-27 01:01:18> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf. Adding to feature finding list.\n", + "2022-03-27 01:01:18> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw\n", + "2022-03-27 01:01:18> Hill extraction with centroid_tol 8 and max_gap 2\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [00:47 Number of hills 947,041, len = 14.39\n", - "2022-03-23 00:57:42> Repeating hill extraction with centroid_tol 6.61\n", - "2022-03-23 00:57:45> Number of hills 1,025,262, len = 14.14\n", - "2022-03-23 00:57:46> After duplicate removal of hills 848,010\n", - "2022-03-23 00:57:50> After split hill_ptrs 938,711\n", - "2022-03-23 00:57:51> After filter hill_ptrs 931,542\n", - "2022-03-23 00:59:29> Extracting hill stats complete\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [05:21<00:00, 321.46s/it]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-23 00:59:39> Found 147,553 pre isotope patterns.\n", - "2022-03-23 01:00:12> Extracted 159,518 isotope patterns.\n", - "2022-03-23 01:00:15> Report complete.\n", - "2022-03-23 01:00:15> Matching features to query data.\n", - "2022-03-23 01:00:16> Saving feature table.\n", - "2022-03-23 01:00:16> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf\n", - "2022-03-23 01:00:16> Saving features.\n", - "2022-03-23 01:00:16> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw complete.\n", - "2022-03-23 01:00:16> ==== search_data ====\n" + "2022-03-27 01:01:21> Number of hills 947,041, len = 14.39\n", + "2022-03-27 01:01:21> Repeating hill extraction with centroid_tol 6.61\n", + "2022-03-27 01:01:24> Number of hills 1,025,262, len = 14.14\n", + "2022-03-27 01:01:25> After duplicate removal of hills 848,010\n", + "2022-03-27 01:01:29> After split hill_ptrs 938,711\n", + "2022-03-27 01:01:29> After filter hill_ptrs 931,542\n", + "2022-03-27 01:03:14> Extracting hill stats complete\n", + "2022-03-27 01:03:22> Found 147,553 pre isotope patterns.\n", + "2022-03-27 01:03:59> Extracted 159,518 isotope patterns.\n", + "2022-03-27 01:04:01> Report complete.\n", + "2022-03-27 01:04:01> Matching features to query data.\n", + "2022-03-27 01:04:02> Saving feature table.\n", + "2022-03-27 01:04:02> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf\n", + "2022-03-27 01:04:02> Saving features.\n", + "2022-03-27 01:04:03> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw complete.\n", + "2022-03-27 01:04:03> ==== search_data ====\n" ] }, { @@ -1687,30 +1644,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:00:16> Starting first search.\n", - "2022-03-23 01:00:16> Processing 1 files for step search_db\n", - "2022-03-23 01:00:16> Calibrating fragments\n", - "2022-03-23 01:00:22> Performing search on 139,144 query and 5,076,854 db entries with frag_tol = 30.00 and prec_tol = 30.00.\n", - "2022-03-23 01:00:24> Found 39,111 psms.\n", - "2022-03-23 01:00:24> Extracting columns for scoring.\n" + "2022-03-27 01:04:03> Starting first search.\n", + "2022-03-27 01:04:03> Processing 1 files for step search_db\n", + "2022-03-27 01:04:03> Calibrating fragments\n", + "2022-03-27 01:04:09> Performing search on 139,144 query and 5,076,854 db entries with frag_tol = 30.00 and prec_tol = 30.00.\n", + "2022-03-27 01:04:11> Found 39,111 psms.\n", + "2022-03-27 01:04:11> Extracting columns for scoring.\n", + "2022-03-27 01:04:19> Extracted columns from 39,111 spectra.\n", + "2022-03-27 01:04:19> Saving first_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf\n", + "2022-03-27 01:04:19> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw complete.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [02:46 Extracted columns from 39,111 spectra.\n", - "2022-03-23 01:00:32> Saving first_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf\n", - "2022-03-23 01:00:33> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw complete.\n", - "2022-03-23 01:00:49> First search complete.\n", - "2022-03-23 01:00:49> ==== recalibrate_data ====\n" + "2022-03-27 01:04:37> First search complete.\n", + "2022-03-27 01:04:37> ==== recalibrate_data ====\n" ] }, { @@ -1725,23 +1683,23 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:00:49> Processing 1 files for step calibrate_hdf\n", - "2022-03-23 01:00:49> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw.\n", - "2022-03-23 01:00:49> Scoring using X-Tandem\n", - "2022-03-23 01:00:49> 16,343 target (163 decoy) of 23920 PSMs. fdr 0.009974 for a cutoff of 20.80 (set fdr was 0.01)\n", - "2022-03-23 01:00:49> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw.\n", - "2022-03-23 01:00:51> Precursor calibration std 0.96, 0.34\n", - "2022-03-23 01:00:51> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf complete.\n", - "2022-03-23 01:00:51> Starting fragment calibration.\n", - "2022-03-23 01:00:51> Calibrating fragments with neighbors\n", - "2022-03-23 01:00:51> Scoring using X-Tandem\n", - "2022-03-23 01:00:51> 16,343 target (163 decoy) of 23920 PSMs. fdr 0.009974 for a cutoff of 20.80 (set fdr was 0.01)\n", - "2022-03-23 01:00:51> Minimum hits for fragments before score 7.01.\n", - "2022-03-23 01:00:51> Minimum hits for fragments after score 7.01.\n", - "2022-03-23 01:01:04> Median offset (std) 14.76 (10.35) - after calibration 0.00 (8.74) Mad offset 3.40\n", - "2022-03-23 01:01:04> Saving calibration\n", - "2022-03-23 01:01:30> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf complete.\n", - "2022-03-23 01:01:30> ==== search_data ====\n" + "2022-03-27 01:04:37> Processing 1 files for step calibrate_hdf\n", + "2022-03-27 01:04:37> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw.\n", + "2022-03-27 01:04:37> Scoring using X-Tandem\n", + "2022-03-27 01:04:37> 16,343 target (163 decoy) of 23920 PSMs. fdr 0.009974 for a cutoff of 20.80 (set fdr was 0.01)\n", + "2022-03-27 01:04:37> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw.\n", + "2022-03-27 01:04:39> Precursor calibration std 0.96, 0.34\n", + "2022-03-27 01:04:39> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf complete.\n", + "2022-03-27 01:04:39> Starting fragment calibration.\n", + "2022-03-27 01:04:39> Calibrating fragments with neighbors\n", + "2022-03-27 01:04:39> Scoring using X-Tandem\n", + "2022-03-27 01:04:39> 16,343 target (163 decoy) of 23920 PSMs. fdr 0.009974 for a cutoff of 20.80 (set fdr was 0.01)\n", + "2022-03-27 01:04:39> Minimum hits for fragments before score 7.01.\n", + "2022-03-27 01:04:39> Minimum hits for fragments after score 7.01.\n", + "2022-03-27 01:04:53> Median offset (std) 14.76 (10.35) - after calibration 0.00 (8.74) Mad offset 3.40\n", + "2022-03-27 01:04:53> Saving calibration\n", + "2022-03-27 01:05:22> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf complete.\n", + "2022-03-27 01:05:22> ==== search_data ====\n" ] }, { @@ -1757,32 +1715,32 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:01:30> Starting second search with DB.\n", - "2022-03-23 01:01:30> Processing 1 files for step search_db\n", - "2022-03-23 01:01:30> Found calibrated prec_tol with value 4.79\n", - "2022-03-23 01:01:30> Found calibrated frag_tol with value 43.70\n", - "2022-03-23 01:01:31> Performing search on 139,144 query and 5,076,854 db entries with frag_tol = 43.70 and prec_tol = 4.79.\n", - "2022-03-23 01:01:32> Found 38,985 psms.\n", - "2022-03-23 01:01:32> Extracting columns for scoring.\n" + "2022-03-27 01:05:22> Starting second search with DB.\n", + "2022-03-27 01:05:22> Processing 1 files for step search_db\n", + "2022-03-27 01:05:22> Found calibrated prec_tol with value 4.79\n", + "2022-03-27 01:05:22> Found calibrated frag_tol with value 43.70\n", + "2022-03-27 01:05:23> Performing search on 139,144 query and 5,076,854 db entries with frag_tol = 43.70 and prec_tol = 4.79.\n", + "2022-03-27 01:05:23> Found 38,985 psms.\n", + "2022-03-27 01:05:23> Extracting columns for scoring.\n", + "2022-03-27 01:05:31> Extracted columns from 38,985 spectra.\n", + "2022-03-27 01:05:31> Saving second_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf\n", + "2022-03-27 01:05:32> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw complete.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [01:22 Extracted columns from 38,985 spectra.\n", - "2022-03-23 01:01:40> Saving second_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.ms_data.hdf\n", - "2022-03-23 01:01:40> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw complete.\n", - "2022-03-23 01:01:55> Second search complete.\n", - "2022-03-23 01:01:55> ==== score ====\n" + "2022-03-27 01:05:47> Second search complete.\n", + "2022-03-27 01:05:48> ==== score ====\n" ] }, { @@ -1797,32 +1755,32 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:01:55> Processing 1 files for step score_hdf\n", - "2022-03-23 01:01:55> Calling score_hdf\n", - "2022-03-23 01:01:55> Found second search psms for scoring.\n", - "2022-03-23 01:01:56> Last q_value 0.025 of dataset is smaller than fdr_level 0.100\n", - "2022-03-23 01:01:56> 24,748 target (622 decoy) of 25370 PSMs. fdr 0.025133 for a cutoff of 16.44 (set fdr was 0.1)\n", - "2022-03-23 01:01:56> The total number of available decoys is lower than the initial set of high scoring targets.\n", - "2022-03-23 01:01:56> Training & cross-validation on 746 targets and 745 decoys\n", - "2022-03-23 01:01:59> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 150}\n", - "2022-03-23 01:01:59> The train accuracy was 1.0\n", - "2022-03-23 01:01:59> Testing on 2982 targets and 2983 decoys\n", - "2022-03-23 01:01:59> The test accuracy was 0.936127409891031\n", - "2022-03-23 01:01:59> Top features {'hits_y': 0.22003810731801127, 'hits': 0.1180961779727814, 'fragments_int_sum': 0.08894532334378119, 'x_tandem': 0.07228952694812472, 'fragments_matched_int_ratio': 0.0650877328147259, 'n_missed': 0.03988334717237709, 'fragments_int_ratio': 0.036817422223522064, 'ms1_int_sum': 0.031192463744182844, 'hits_b': 0.028018208532851085, 'ms1_int_apex': 0.025972300594954208, 'fragments_matched_int_sum': 0.025367218370001932, 'fragments_matched_n_ratio': 0.02205881068044597, 'mass_db': 0.017344465631428597, 'delta_m_ppm_abs': 0.015727739601747923, 'prec_offset': 0.01570118306369685, 'prec_offset_ppm': 0.014504219311028006, 'delta_m_ppm': 0.01438053944227501, 'mass': 0.012033520076026276, 'mz': 0.01193281004638875, 'prec_offset_raw': 0.011572466749106246, 'prec_offset_raw_ppm': 0.011556090806971986, 'delta_m': 0.01029344317654954, 'n_fragments_matched': 0.009928501141926196, 'fwhm': 0.009681597229198171, 'rt': 0.009303134528647766, 'hits_y-NH3': 0.009008160496215452, 'rt_start': 0.007941028434735981, 'n_AA': 0.007694633161984154, 'rt_end': 0.007579603032607064, 'scan_no': 0.007532223542650156, 'rt_apex': 0.00697879229506396, 'hits_y-H2O': 0.006637221719238041, 'hits_b-NH3': 0.0034213540081689947, 'hits_b-H2O': 0.0033456283338071757, 'charge': 0.002031012526335474, 'n_internal': 0.00010399192844254111, 'localexp': 0.0}\n", - "2022-03-23 01:02:00> 31,406 target (314 decoy) of 32574 PSMs. fdr 0.009998 for a cutoff of 0.13 (set fdr was 0.01)\n", - "2022-03-23 01:02:00> Saving identifications to ms_data file.\n", - "2022-03-23 01:02:00> Saving identifications to ms_data file complete.\n", - "2022-03-23 01:02:01> Saving identifications to csv file complete.\n", - "2022-03-23 01:02:01> Filter df with custom score\n", - "2022-03-23 01:02:01> Global FDR on precursor\n", - "2022-03-23 01:02:02> 24,268 target (242 decoy) of 25371 PSMs. fdr 0.009972 for a cutoff of 0.16 (set fdr was 0.01)\n", - "2022-03-23 01:02:02> Global FDR cutoff at 0.16.\n", - "2022-03-23 01:02:02> FDR on peptides complete. For 0.01 FDR found 24,305 targets and 260 decoys.\n", - "2022-03-23 01:02:02> Extracting fragment_ions\n", - "2022-03-23 01:02:09> Extracting fragment_ions complete.\n", - "2022-03-23 01:02:10> Scoring of files [] complete.\n", - "2022-03-23 01:02:10> ==== isobaric_labeling ====\n", - "2022-03-23 01:02:10> ==== protein_grouping ====\n" + "2022-03-27 01:05:48> Processing 1 files for step score_hdf\n", + "2022-03-27 01:05:48> Calling score_hdf\n", + "2022-03-27 01:05:48> Found second search psms for scoring.\n", + "2022-03-27 01:05:49> Last q_value 0.025 of dataset is smaller than fdr_level 0.100\n", + "2022-03-27 01:05:49> 24,748 target (622 decoy) of 25370 PSMs. fdr 0.025133 for a cutoff of 16.44 (set fdr was 0.1)\n", + "2022-03-27 01:05:49> The total number of available decoys is lower than the initial set of high scoring targets.\n", + "2022-03-27 01:05:49> Training & cross-validation on 746 targets and 745 decoys\n", + "2022-03-27 01:05:52> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 150}\n", + "2022-03-27 01:05:52> The train accuracy was 1.0\n", + "2022-03-27 01:05:52> Testing on 2982 targets and 2983 decoys\n", + "2022-03-27 01:05:52> The test accuracy was 0.936127409891031\n", + "2022-03-27 01:05:52> Top features {'hits_y': 0.22003810731801127, 'hits': 0.1180961779727814, 'fragments_int_sum': 0.08894532334378119, 'x_tandem': 0.07228952694812472, 'fragments_matched_int_ratio': 0.0650877328147259, 'n_missed': 0.03988334717237709, 'fragments_int_ratio': 0.036817422223522064, 'ms1_int_sum': 0.031192463744182844, 'hits_b': 0.028018208532851085, 'ms1_int_apex': 0.025972300594954208, 'fragments_matched_int_sum': 0.025367218370001932, 'fragments_matched_n_ratio': 0.02205881068044597, 'mass_db': 0.017344465631428597, 'delta_m_ppm_abs': 0.015727739601747923, 'prec_offset': 0.01570118306369685, 'prec_offset_ppm': 0.014504219311028006, 'delta_m_ppm': 0.01438053944227501, 'mass': 0.012033520076026276, 'mz': 0.01193281004638875, 'prec_offset_raw': 0.011572466749106246, 'prec_offset_raw_ppm': 0.011556090806971986, 'delta_m': 0.01029344317654954, 'n_fragments_matched': 0.009928501141926196, 'fwhm': 0.009681597229198171, 'rt': 0.009303134528647766, 'hits_y-NH3': 0.009008160496215452, 'rt_start': 0.007941028434735981, 'n_AA': 0.007694633161984154, 'rt_end': 0.007579603032607064, 'scan_no': 0.007532223542650156, 'rt_apex': 0.00697879229506396, 'hits_y-H2O': 0.006637221719238041, 'hits_b-NH3': 0.0034213540081689947, 'hits_b-H2O': 0.0033456283338071757, 'charge': 0.002031012526335474, 'n_internal': 0.00010399192844254111, 'localexp': 0.0}\n", + "2022-03-27 01:05:52> 31,406 target (314 decoy) of 32574 PSMs. fdr 0.009998 for a cutoff of 0.13 (set fdr was 0.01)\n", + "2022-03-27 01:05:52> Saving identifications to ms_data file.\n", + "2022-03-27 01:05:53> Saving identifications to ms_data file complete.\n", + "2022-03-27 01:05:54> Saving identifications to csv file complete.\n", + "2022-03-27 01:05:54> Filter df with custom score\n", + "2022-03-27 01:05:54> Global FDR on precursor\n", + "2022-03-27 01:05:54> 24,268 target (242 decoy) of 25371 PSMs. fdr 0.009972 for a cutoff of 0.16 (set fdr was 0.01)\n", + "2022-03-27 01:05:54> Global FDR cutoff at 0.16.\n", + "2022-03-27 01:05:54> FDR on peptides complete. For 0.01 FDR found 24,305 targets and 260 decoys.\n", + "2022-03-27 01:05:54> Extracting fragment_ions\n", + "2022-03-27 01:06:02> Extracting fragment_ions complete.\n", + "2022-03-27 01:06:03> Scoring of files [] complete.\n", + "2022-03-27 01:06:03> ==== isobaric_labeling ====\n", + "2022-03-27 01:06:03> ==== protein_grouping ====\n" ] }, { @@ -1837,8 +1795,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:02:10> Fasta dict with length 20,611, Pept dict with length 5,076,860\n", - "2022-03-23 01:02:10> Extracting protein groups.\n" + "2022-03-27 01:06:03> Fasta dict with length 20,611, Pept dict with length 5,076,860\n", + "2022-03-27 01:06:03> Extracting protein groups.\n" ] }, { @@ -1855,19 +1813,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:02:10> A total of 20,509 unique and 1,629 shared peptides.\n", - "2022-03-23 01:02:11> A total of 460 ambigious proteins\n", - "2022-03-23 01:02:11> A total of 253 unique and 7 shared peptides.\n", - "2022-03-23 01:02:11> A total of 7 ambigious proteins\n", - "2022-03-23 01:02:11> Global FDR on protein_group\n", - "2022-03-23 01:02:11> 3,366 target (33 decoy) of 3852 PSMs. fdr 0.009804 for a cutoff of 0.56 (set fdr was 0.01)\n", - "2022-03-23 01:02:11> Global FDR cutoff at 0.56.\n", - "2022-03-23 01:02:11> FDR on proteins complete. For 0.01 FDR found 24,066 targets and 34 decoys. A total of 3,399 proteins found.\n", - "2022-03-23 01:02:11> Saving complete.\n", - "2022-03-23 01:02:11> Protein groups complete.\n", - "2022-03-23 01:02:11> ==== quantification ====\n", - "2022-03-23 01:02:11> Reading protein_fdr for quantification.\n", - "2022-03-23 01:02:12> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n" + "2022-03-27 01:06:03> A total of 20,509 unique and 1,629 shared peptides.\n", + "2022-03-27 01:06:04> A total of 460 ambigious proteins\n", + "2022-03-27 01:06:04> A total of 253 unique and 7 shared peptides.\n", + "2022-03-27 01:06:04> A total of 7 ambigious proteins\n", + "2022-03-27 01:06:04> Global FDR on protein_group\n", + "2022-03-27 01:06:04> 3,366 target (33 decoy) of 3852 PSMs. fdr 0.009804 for a cutoff of 0.56 (set fdr was 0.01)\n", + "2022-03-27 01:06:04> Global FDR cutoff at 0.56.\n", + "2022-03-27 01:06:04> FDR on proteins complete. For 0.01 FDR found 24,066 targets and 34 decoys. A total of 3,399 proteins found.\n", + "2022-03-27 01:06:04> Saving complete.\n", + "2022-03-27 01:06:04> Protein groups complete.\n", + "2022-03-27 01:06:04> ==== quantification ====\n", + "2022-03-27 01:06:04> Reading protein_fdr for quantification.\n", + "2022-03-27 01:06:05> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", + "2022-03-27 01:06:05> Complete.\n" ] }, { @@ -1888,8 +1847,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:02:12> Complete.\n", - "2022-03-23 01:02:12> Starting profile extraction.\n" + "2022-03-27 01:06:05> Starting profile extraction.\n" ] }, { @@ -1904,15 +1862,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:02:12> LFQ complete.\n", - "2022-03-23 01:02:12> Extracting protein_summary\n", - "2022-03-23 01:02:12> Saved protein_summary of length 3,399 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 01:02:12> Updating protein_fdr.\n", - "2022-03-23 01:02:12> Exporting as csv.\n", - "2022-03-23 01:02:13> Saved df of length 24,100 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 01:02:13> ==== export ====\n", - "2022-03-23 01:02:13> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", - "2022-03-23 01:02:13> Analysis complete.\n" + "2022-03-27 01:06:05> LFQ complete.\n", + "2022-03-27 01:06:05> Extracting protein_summary\n", + "2022-03-27 01:06:05> Saved protein_summary of length 3,399 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 01:06:05> Updating protein_fdr.\n", + "2022-03-27 01:06:05> Exporting as csv.\n", + "2022-03-27 01:06:06> Saved df of length 24,100 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 01:06:06> ==== export ====\n", + "2022-03-27 01:06:07> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 01:06:07> Analysis complete.\n" ] }, { @@ -1931,7 +1889,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:15<00:00, 15.71s/it]\n" + "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:17<00:00, 17.10s/it]\n" ] } ], @@ -2014,7 +1972,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2078,72 +2036,72 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:02:30> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", - "2022-03-23 01:02:32> No settings provided. Creating from default settings.\n", - "2022-03-23 01:02:32> Couldn't find compiled exe. Using Python version for testing.\n", - "2022-03-23 01:02:32> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323010232.txt.\n", - "2022-03-23 01:02:32> Platform information:\n", - "2022-03-23 01:02:32> system - Windows\n", - "2022-03-23 01:02:32> release - 10\n", - "2022-03-23 01:02:32> version - 10.0.19044\n", - "2022-03-23 01:02:32> machine - AMD64\n", - "2022-03-23 01:02:32> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 01:02:32> cpu count - 24\n", - "2022-03-23 01:02:32> ram memory - 112.5/127.7 Gb (available/total)\n", - "2022-03-23 01:02:32> \n", - "2022-03-23 01:02:32> Python information:\n", - "2022-03-23 01:02:32> SQLAlchemy - 1.4.23\n", - "2022-03-23 01:02:32> alphapept - 0.4.3\n", - "2022-03-23 01:02:32> biopython - 1.78\n", - "2022-03-23 01:02:32> bumpversion - \n", - "2022-03-23 01:02:32> bumpversion> - \n", - "2022-03-23 01:02:32> click - 7.1.2\n", - "2022-03-23 01:02:32> click> - \n", - "2022-03-23 01:02:32> fastcore - 1.3.21\n", - "2022-03-23 01:02:32> h5py - 3.4.0\n", - "2022-03-23 01:02:32> jupyter - 1.0.0\n", - "2022-03-23 01:02:32> jupyter> - \n", - "2022-03-23 01:02:32> jupyter_contrib_nbextensions - \n", - "2022-03-23 01:02:32> jupyter_contrib_nbextensions> - \n", - "2022-03-23 01:02:32> matplotlib - 3.3.3\n", - "2022-03-23 01:02:32> nbdev - 1.1.23\n", - "2022-03-23 01:02:32> nbdev> - \n", - "2022-03-23 01:02:32> networkx - 2.6.3\n", - "2022-03-23 01:02:32> numba - 0.54.0\n", - "2022-03-23 01:02:32> numpy - 1.20.3\n", - "2022-03-23 01:02:32> pandas - 1.3.4\n", - "2022-03-23 01:02:32> plotly_express - 0.4.1\n", - "2022-03-23 01:02:32> psutil - 5.8.0\n", - "2022-03-23 01:02:32> pyinstaller - \n", - "2022-03-23 01:02:32> pyteomics - 4.4.2\n", - "2022-03-23 01:02:32> python - 3.8.12\n", - "2022-03-23 01:02:32> pythonnet - 2.5.2\n", - "2022-03-23 01:02:32> pywin32 - 225\n", - "2022-03-23 01:02:32> pyyaml - 5.4.1\n", - "2022-03-23 01:02:32> scikit-learn - 0.24.2\n", - "2022-03-23 01:02:32> scipy - 1.7.1\n", - "2022-03-23 01:02:32> streamlit - 1.2.0\n", - "2022-03-23 01:02:32> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 01:02:32> streamlit> - \n", - "2022-03-23 01:02:32> tables - 3.6.1\n", - "2022-03-23 01:02:32> tqdm - 4.56.0\n", - "2022-03-23 01:02:32> twine - \n", - "2022-03-23 01:02:32> twine> - \n", - "2022-03-23 01:02:32> watchdog - 2.1.5\n", - "2022-03-23 01:02:32> wget - 3.2\n", - "2022-03-23 01:02:32> \n", - "2022-03-23 01:02:32> Check for settings not completely implemented yet.\n", - "2022-03-23 01:02:32> Checking if files exist.\n", - "2022-03-23 01:02:32> FASTA Files have a total size of 13.12 Mb\n", - "2022-03-23 01:02:32> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 01:02:33> Shortnames not set. Setting to filename.\n", - "2022-03-23 01:02:33> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 01:02:33> Workflow has 11 steps\n", - "2022-03-23 01:02:33> ==== create_database ====\n", - "2022-03-23 01:02:33> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", - "2022-03-23 01:02:33> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", - "2022-03-23 01:02:33> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", - "2022-03-23 01:02:33> Creating a new database from FASTA.\n" + "2022-03-27 01:06:24> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", + "2022-03-27 01:06:27> No settings provided. Creating from default settings.\n", + "2022-03-27 01:06:27> Couldn't find compiled exe. Using Python version for testing.\n", + "2022-03-27 01:06:27> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327010627.txt.\n", + "2022-03-27 01:06:27> Platform information:\n", + "2022-03-27 01:06:27> system - Windows\n", + "2022-03-27 01:06:27> release - 10\n", + "2022-03-27 01:06:27> version - 10.0.19044\n", + "2022-03-27 01:06:27> machine - AMD64\n", + "2022-03-27 01:06:27> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 01:06:27> cpu count - 24\n", + "2022-03-27 01:06:27> ram memory - 115.6/127.7 Gb (available/total)\n", + "2022-03-27 01:06:27> \n", + "2022-03-27 01:06:27> Python information:\n", + "2022-03-27 01:06:27> SQLAlchemy - 1.4.23\n", + "2022-03-27 01:06:27> alphapept - 0.4.4\n", + "2022-03-27 01:06:27> biopython - 1.78\n", + "2022-03-27 01:06:27> bumpversion - \n", + "2022-03-27 01:06:27> bumpversion> - \n", + "2022-03-27 01:06:27> click - 7.1.2\n", + "2022-03-27 01:06:27> click> - \n", + "2022-03-27 01:06:27> fastcore - 1.3.21\n", + "2022-03-27 01:06:27> h5py - 3.4.0\n", + "2022-03-27 01:06:27> jupyter - 1.0.0\n", + "2022-03-27 01:06:27> jupyter> - \n", + "2022-03-27 01:06:27> jupyter_contrib_nbextensions - \n", + "2022-03-27 01:06:27> jupyter_contrib_nbextensions> - \n", + "2022-03-27 01:06:27> matplotlib - 3.3.3\n", + "2022-03-27 01:06:27> nbdev - 1.1.23\n", + "2022-03-27 01:06:27> nbdev> - \n", + "2022-03-27 01:06:27> networkx - 2.6.3\n", + "2022-03-27 01:06:27> numba - 0.54.0\n", + "2022-03-27 01:06:27> numpy - 1.20.3\n", + "2022-03-27 01:06:27> pandas - 1.3.4\n", + "2022-03-27 01:06:27> plotly_express - 0.4.1\n", + "2022-03-27 01:06:27> psutil - 5.8.0\n", + "2022-03-27 01:06:27> pyinstaller - \n", + "2022-03-27 01:06:27> pyteomics - 4.4.2\n", + "2022-03-27 01:06:27> python - 3.8.12\n", + "2022-03-27 01:06:27> pythonnet - 2.5.2\n", + "2022-03-27 01:06:27> pywin32 - 225\n", + "2022-03-27 01:06:27> pyyaml - 5.4.1\n", + "2022-03-27 01:06:27> scikit-learn - 0.24.2\n", + "2022-03-27 01:06:27> scipy - 1.7.1\n", + "2022-03-27 01:06:27> streamlit - 1.2.0\n", + "2022-03-27 01:06:27> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 01:06:27> streamlit> - \n", + "2022-03-27 01:06:27> tables - 3.6.1\n", + "2022-03-27 01:06:27> tqdm - 4.56.0\n", + "2022-03-27 01:06:27> twine - \n", + "2022-03-27 01:06:27> twine> - \n", + "2022-03-27 01:06:27> watchdog - 2.1.5\n", + "2022-03-27 01:06:27> wget - 3.2\n", + "2022-03-27 01:06:27> \n", + "2022-03-27 01:06:27> Check for settings not completely implemented yet.\n", + "2022-03-27 01:06:27> Checking if files exist.\n", + "2022-03-27 01:06:27> FASTA Files have a total size of 13.116 Mb\n", + "2022-03-27 01:06:27> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 01:06:27> Shortnames not set. Setting to filename.\n", + "2022-03-27 01:06:27> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 01:06:27> Workflow has 11 steps\n", + "2022-03-27 01:06:27> ==== create_database ====\n", + "2022-03-27 01:06:27> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", + "2022-03-27 01:06:27> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", + "2022-03-27 01:06:27> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", + "2022-03-27 01:06:27> Creating a new database from FASTA.\n" ] }, { @@ -2158,7 +2116,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:02:33> FASTA contains 20,611 entries.\n" + "2022-03-27 01:06:28> FASTA contains 20,611 entries.\n" ] }, { @@ -2166,39 +2124,39 @@ "output_type": "stream", "text": [ "\n", - " 5%|███ | 0.047619047619047616/1 [01:03<21:12, 1336.12s/it]\u001b[A\n", - " 10%|██████▏ | 0.09523809523809523/1 [01:20<11:29, 761.92s/it]\u001b[A\n", - " 14%|█████████▎ | 0.14285714285714285/1 [01:21<06:03, 424.24s/it]\u001b[A\n", - " 19%|████████████▍ | 0.19047619047619047/1 [01:22<03:34, 265.50s/it]\u001b[A\n", - " 24%|███████████████▍ | 0.23809523809523808/1 [01:23<02:15, 177.31s/it]\u001b[A\n", - " 29%|██████████████████▊ | 0.2857142857142857/1 [01:24<01:28, 124.15s/it]\u001b[A\n", - " 33%|██████████████████████▎ | 0.3333333333333333/1 [01:25<01:00, 90.48s/it]\u001b[A\n", - " 38%|█████████████████████████▏ | 0.38095238095238093/1 [01:26<00:42, 67.97s/it]\u001b[A\n", - " 43%|████████████████████████████▎ | 0.42857142857142855/1 [01:27<00:30, 53.12s/it]\u001b[A\n", - " 0%| | 0/1 [02:32 Digested 20,611 proteins and generated 5,076,854 spectra\n", - "2022-03-23 01:05:08> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 1.94 GB\n", - "2022-03-23 01:05:15> ==== import_raw_data ====\n" + "2022-03-27 01:08:21> Digested 20,611 proteins and generated 5,076,854 spectra\n", + "2022-03-27 01:09:09> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 1.94 GB\n", + "2022-03-27 01:09:17> ==== import_raw_data ====\n" ] }, { @@ -2213,9 +2171,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:05:15> Processing 4 files for step raw_conversion\n", - "2022-03-23 01:05:15> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:06:08> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step raw_conversion succeeded. 25.00 %\n" + "2022-03-27 01:09:17> Processing 4 files for step raw_conversion\n", + "2022-03-27 01:09:17> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:10:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step raw_conversion succeeded. 25.00 %\n" ] }, { @@ -2223,31 +2181,17 @@ "output_type": "stream", "text": [ "\r", - " 25%|████████████████████ | 0.25/1 [00:52<02:38, 211.02s/it]" + " 25%|████████████████████ | 0.25/1 [00:53<02:40, 213.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:06:08> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step raw_conversion succeeded. 50.00 %\n", - "2022-03-23 01:06:08> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step raw_conversion succeeded. 75.00 %\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 75%|████████████████████████████████████████████████████████████▊ | 0.75/1 [00:52<00:13, 55.00s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-23 01:06:08> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step raw_conversion succeeded. 100.00 %\n", - "2022-03-23 01:06:08> ==== feature_finding ====\n" + "2022-03-27 01:10:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step raw_conversion succeeded. 50.00 %\n", + "2022-03-27 01:10:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step raw_conversion succeeded. 75.00 %\n", + "2022-03-27 01:10:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step raw_conversion succeeded. 100.00 %\n", + "2022-03-27 01:10:10> ==== feature_finding ====\n" ] }, { @@ -2263,27 +2207,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:06:08> Processing 4 files for step find_features\n", - "2022-03-23 01:06:08> Setting Process limit to 14\n", - "2022-03-23 01:06:08> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 01:10:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step find_features succeeded. 25.00 %\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n", - "\n", - " 25%|███████████████████▊ | 0.25/1 [04:43<14:10, 1133.51s/it]\u001b[A\u001b[A" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-23 01:10:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step find_features succeeded. 50.00 %\n", - "2022-03-23 01:10:54> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step find_features succeeded. 75.00 %\n" + "2022-03-27 01:10:10> Processing 4 files for step find_features\n", + "2022-03-27 01:10:10> Setting Process limit to 14\n", + "2022-03-27 01:10:10> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 01:14:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step find_features succeeded. 25.00 %\n" ] }, { @@ -2292,14 +2219,16 @@ "text": [ "\n", "\n", - " 75%|████████████████████████████████████████████████████████████ | 0.75/1 [04:45<01:14, 297.18s/it]\u001b[A\u001b[A" + " 25%|███████████████████▊ | 0.25/1 [04:48<14:26, 1154.98s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:10:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step find_features succeeded. 100.00 %\n" + "2022-03-27 01:14:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step find_features succeeded. 50.00 %\n", + "2022-03-27 01:14:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step find_features succeeded. 75.00 %\n", + "2022-03-27 01:15:03> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step find_features succeeded. 100.00 %\n" ] }, { @@ -2308,14 +2237,14 @@ "text": [ "\n", "\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [04:50<00:00, 200.57s/it]\u001b[A\u001b[A" + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [04:52<00:00, 222.99s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:10:58> ==== search_data ====\n" + "2022-03-27 01:15:03> ==== search_data ====\n" ] }, { @@ -2332,11 +2261,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:10:58> Starting first search.\n", - "2022-03-23 01:10:58> Processing 4 files for step search_db\n", - "2022-03-23 01:10:58> Searching. Setting Process limit to 14.\n", - "2022-03-23 01:10:58> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 01:11:38> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step search_db succeeded. 25.00 %\n" + "2022-03-27 01:15:03> Starting first search.\n", + "2022-03-27 01:15:03> Processing 4 files for step search_db\n", + "2022-03-27 01:15:03> Searching. Setting Process limit to 14.\n", + "2022-03-27 01:15:03> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 01:15:43> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step search_db succeeded. 25.00 %\n" ] }, { @@ -2346,15 +2275,16 @@ "\n", "\n", "\n", - " 25%|████████████████████ | 0.25/1 [00:39<01:58, 157.86s/it]\u001b[A\u001b[A\u001b[A" + " 25%|████████████████████ | 0.25/1 [00:39<01:59, 159.20s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:11:38> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step search_db succeeded. 50.00 %\n", - "2022-03-23 01:11:38> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step search_db succeeded. 75.00 %\n" + "2022-03-27 01:15:43> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step search_db succeeded. 50.00 %\n", + "2022-03-27 01:15:43> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step search_db succeeded. 75.00 %\n", + "2022-03-27 01:15:44> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step search_db succeeded. 100.00 %\n" ] }, { @@ -2364,31 +2294,34 @@ "\n", "\n", "\n", - " 75%|████████████████████████████████████████████████████████████▊ | 0.75/1 [00:40<00:10, 41.73s/it]\u001b[A\u001b[A\u001b[A" + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [06:30<00:00, 390.69s/it]\u001b[A\u001b[A\u001b[A\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [05:37<00:00, 337.14s/it]\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [09:24<00:00, 564.96s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:11:38> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step search_db succeeded. 100.00 %\n" + "2022-03-27 01:16:00> First search complete.\n", + "2022-03-27 01:16:00> ==== recalibrate_data ====\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [06:26<00:00, 386.82s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [05:33<00:00, 333.51s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [09:09<00:00, 549.48s/it]\n" + "\r", + " 0%| | 0/1 [00:00 First search complete.\n", - "2022-03-23 01:11:55> ==== recalibrate_data ====\n" + "2022-03-27 01:16:00> Processing 4 files for step calibrate_hdf\n", + "2022-03-27 01:16:00> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:16:57> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step calibrate_hdf succeeded. 25.00 %\n" ] }, { @@ -2396,16 +2329,15 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 0/1 [00:00 Processing 4 files for step calibrate_hdf\n", - "2022-03-23 01:11:55> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:12:51> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step calibrate_hdf succeeded. 25.00 %\n" + "2022-03-27 01:16:57> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step calibrate_hdf succeeded. 50.00 %\n", + "2022-03-27 01:17:01> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step calibrate_hdf succeeded. 75.00 %\n" ] }, { @@ -2413,31 +2345,34 @@ "output_type": "stream", "text": [ "\r", - " 25%|████████████████████ | 0.25/1 [00:56<02:48, 224.22s/it]" + " 75%|████████████████████████████████████████████████████████████▊ | 0.75/1 [01:00<00:16, 64.74s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:12:51> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step calibrate_hdf succeeded. 50.00 %\n", - "2022-03-23 01:12:54> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step calibrate_hdf succeeded. 75.00 %\n" + "2022-03-27 01:17:01> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step calibrate_hdf succeeded. 100.00 %\n", + "2022-03-27 01:17:01> ==== search_data ====\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 75%|████████████████████████████████████████████████████████████▊ | 0.75/1 [00:58<00:15, 61.96s/it]" + "\n", + " 0%| | 0/1 [00:00 Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step calibrate_hdf succeeded. 100.00 %\n", - "2022-03-23 01:12:54> ==== search_data ====\n" + "2022-03-27 01:17:01> Starting second search with DB.\n", + "2022-03-27 01:17:01> Processing 4 files for step search_db\n", + "2022-03-27 01:17:01> Searching. Setting Process limit to 14.\n", + "2022-03-27 01:17:01> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 01:17:28> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step search_db succeeded. 25.00 %\n" ] }, { @@ -2445,18 +2380,15 @@ "output_type": "stream", "text": [ "\n", - " 0%| | 0/1 [00:00 Starting second search with DB.\n", - "2022-03-23 01:12:54> Processing 4 files for step search_db\n", - "2022-03-23 01:12:54> Searching. Setting Process limit to 14.\n", - "2022-03-23 01:12:54> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 01:13:21> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step search_db succeeded. 25.00 %\n" + "2022-03-27 01:17:28> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step search_db succeeded. 50.00 %\n", + "2022-03-27 01:17:28> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step search_db succeeded. 75.00 %\n" ] }, { @@ -2464,32 +2396,30 @@ "output_type": "stream", "text": [ "\n", - " 25%|████████████████████ | 0.25/1 [00:26<01:20, 107.48s/it]\u001b[A" + " 75%|████████████████████████████████████████████████████████████▊ | 0.75/1 [00:27<00:07, 28.71s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:13:21> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step search_db succeeded. 50.00 %\n", - "2022-03-23 01:13:21> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step search_db succeeded. 75.00 %\n", - "2022-03-23 01:13:21> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step search_db succeeded. 100.00 %\n" + "2022-03-27 01:17:28> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step search_db succeeded. 100.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [01:28<00:00, 88.90s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [02:30<00:00, 150.80s/it]\n" + "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [01:31<00:00, 91.89s/it]\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [02:32<00:00, 152.76s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:13:35> Second search complete.\n", - "2022-03-23 01:13:35> ==== score ====\n" + "2022-03-27 01:17:44> Second search complete.\n", + "2022-03-27 01:17:44> ==== score ====\n" ] }, { @@ -2504,9 +2434,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:13:35> Processing 4 files for step score_hdf\n", - "2022-03-23 01:13:35> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:15:04> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step score_hdf succeeded. 25.00 %\n" + "2022-03-27 01:17:44> Processing 4 files for step score_hdf\n", + "2022-03-27 01:17:44> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:19:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step score_hdf succeeded. 25.00 %\n" ] }, { @@ -2514,15 +2444,15 @@ "output_type": "stream", "text": [ "\r", - " 25%|████████████████████ | 0.25/1 [01:29<04:28, 357.51s/it]" + " 25%|████████████████████ | 0.25/1 [01:35<04:47, 382.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:15:04> ==== isobaric_labeling ====\n", - "2022-03-23 01:15:04> ==== protein_grouping ====\n" + "2022-03-27 01:19:20> ==== isobaric_labeling ====\n", + "2022-03-27 01:19:20> ==== protein_grouping ====\n" ] }, { @@ -2538,8 +2468,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:15:04> Fasta dict with length 20,611, Pept dict with length 5,076,860\n", - "2022-03-23 01:15:04> Extracting protein groups.\n" + "2022-03-27 01:19:20> Fasta dict with length 20,611, Pept dict with length 5,076,860\n", + "2022-03-27 01:19:20> Extracting protein groups.\n" ] }, { @@ -2549,7 +2479,7 @@ "\n", "\n", "\n", - " 25%|████████████████████ | 0.25/1 [01:29<04:28, 358.38s/it]\u001b[A\u001b[A\u001b[A\n", + " 25%|████████████████████ | 0.25/1 [01:35<04:47, 383.61s/it]\u001b[A\u001b[A\u001b[A\n", " 0%| | 0/1 [00:00 A total of 20,225 unique and 1,603 shared peptides.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [02:11<00:00, 131.74s/it]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-23 01:15:06> A total of 460 ambigious proteins\n", - "2022-03-23 01:15:06> A total of 103 unique and 8 shared peptides.\n", - "2022-03-23 01:15:06> A total of 8 ambigious proteins\n", - "2022-03-23 01:15:06> Global FDR on protein_group\n", - "2022-03-23 01:15:06> 3,346 target (33 decoy) of 3566 PSMs. fdr 0.009863 for a cutoff of 0.47 (set fdr was 0.01)\n", - "2022-03-23 01:15:06> Global FDR cutoff at 0.47441142944038495.\n", - "2022-03-23 01:15:06> FDR on proteins complete. For 0.01 FDR found 23,925 targets and 33 decoys. A total of 3,379 proteins found.\n", - "2022-03-23 01:15:06> Saving complete.\n", - "2022-03-23 01:15:06> Protein groups complete.\n", - "2022-03-23 01:15:06> ==== quantification ====\n", - "2022-03-23 01:15:06> Reading protein_fdr for quantification.\n", - "2022-03-23 01:15:07> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", - "2022-03-23 01:15:07> Complete.\n" + "2022-03-27 01:19:20> A total of 20,225 unique and 1,603 shared peptides.\n", + "2022-03-27 01:19:21> A total of 460 ambigious proteins\n", + "2022-03-27 01:19:21> A total of 103 unique and 8 shared peptides.\n", + "2022-03-27 01:19:21> A total of 8 ambigious proteins\n", + "2022-03-27 01:19:21> Global FDR on protein_group\n", + "2022-03-27 01:19:21> 3,346 target (33 decoy) of 3566 PSMs. fdr 0.009863 for a cutoff of 0.47 (set fdr was 0.01)\n", + "2022-03-27 01:19:21> Global FDR cutoff at 0.47441142944038495.\n", + "2022-03-27 01:19:21> FDR on proteins complete. For 0.01 FDR found 23,925 targets and 33 decoys. A total of 3,379 proteins found.\n", + "2022-03-27 01:19:21> Saving complete.\n", + "2022-03-27 01:19:21> Protein groups complete.\n", + "2022-03-27 01:19:21> ==== quantification ====\n", + "2022-03-27 01:19:21> Reading protein_fdr for quantification.\n", + "2022-03-27 01:19:22> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n" ] }, { @@ -2604,7 +2520,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:15:07> Starting profile extraction.\n" + "2022-03-27 01:19:22> Complete.\n", + "2022-03-27 01:19:22> Starting profile extraction.\n" ] }, { @@ -2619,28 +2536,28 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:15:07> LFQ complete.\n", - "2022-03-23 01:15:07> Extracting protein_summary\n", - "2022-03-23 01:15:07> Saved protein_summary of length 3,379 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 01:15:07> Updating protein_fdr.\n", - "2022-03-23 01:15:07> Exporting as csv.\n", - "2022-03-23 01:15:08> Saved df of length 23,958 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 01:15:08> ==== export ====\n" + "2022-03-27 01:19:22> LFQ complete.\n", + "2022-03-27 01:19:22> Extracting protein_summary\n", + "2022-03-27 01:19:22> Saved protein_summary of length 3,379 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 01:19:22> Updating protein_fdr.\n", + "2022-03-27 01:19:22> Exporting as csv.\n", + "2022-03-27 01:19:23> Saved df of length 23,958 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 01:19:23> ==== export ====\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:01<00:00, 1.46s/it]\n" + "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:01<00:00, 1.76s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:15:10> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", - "2022-03-23 01:15:10> Analysis complete.\n" + "2022-03-27 01:19:25> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 01:19:25> Analysis complete.\n" ] } ], @@ -2659,7 +2576,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_1436/1341368599.py:9: DtypeWarning: Columns (51) have mixed types.Specify dtype option on import or set low_memory=False.\n", + "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_22996/1341368599.py:9: DtypeWarning: Columns (51) have mixed types.Specify dtype option on import or set low_memory=False.\n", " df1, df2 = prepare_files(os.path.join(TEST_DIR,'results.hdf'), os.path.join(tmp_folder,'PXD015087_ref_evd.txt'))\n" ] }, @@ -2731,7 +2648,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2794,72 +2711,72 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:15:14> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", - "2022-03-23 01:15:16> No settings provided. Creating from default settings.\n", - "2022-03-23 01:15:16> Couldn't find compiled exe. Using Python version for testing.\n", - "2022-03-23 01:15:16> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323011516.txt.\n", - "2022-03-23 01:15:16> Platform information:\n", - "2022-03-23 01:15:16> system - Windows\n", - "2022-03-23 01:15:16> release - 10\n", - "2022-03-23 01:15:16> version - 10.0.19044\n", - "2022-03-23 01:15:16> machine - AMD64\n", - "2022-03-23 01:15:16> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 01:15:16> cpu count - 24\n", - "2022-03-23 01:15:16> ram memory - 113.5/127.7 Gb (available/total)\n", - "2022-03-23 01:15:16> \n", - "2022-03-23 01:15:16> Python information:\n", - "2022-03-23 01:15:16> SQLAlchemy - 1.4.23\n", - "2022-03-23 01:15:16> alphapept - 0.4.3\n", - "2022-03-23 01:15:16> biopython - 1.78\n", - "2022-03-23 01:15:16> bumpversion - \n", - "2022-03-23 01:15:16> bumpversion> - \n", - "2022-03-23 01:15:16> click - 7.1.2\n", - "2022-03-23 01:15:16> click> - \n", - "2022-03-23 01:15:16> fastcore - 1.3.21\n", - "2022-03-23 01:15:16> h5py - 3.4.0\n", - "2022-03-23 01:15:16> jupyter - 1.0.0\n", - "2022-03-23 01:15:16> jupyter> - \n", - "2022-03-23 01:15:16> jupyter_contrib_nbextensions - \n", - "2022-03-23 01:15:16> jupyter_contrib_nbextensions> - \n", - "2022-03-23 01:15:16> matplotlib - 3.3.3\n", - "2022-03-23 01:15:16> nbdev - 1.1.23\n", - "2022-03-23 01:15:16> nbdev> - \n", - "2022-03-23 01:15:16> networkx - 2.6.3\n", - "2022-03-23 01:15:16> numba - 0.54.0\n", - "2022-03-23 01:15:16> numpy - 1.20.3\n", - "2022-03-23 01:15:16> pandas - 1.3.4\n", - "2022-03-23 01:15:16> plotly_express - 0.4.1\n", - "2022-03-23 01:15:16> psutil - 5.8.0\n", - "2022-03-23 01:15:16> pyinstaller - \n", - "2022-03-23 01:15:16> pyteomics - 4.4.2\n", - "2022-03-23 01:15:16> python - 3.8.12\n", - "2022-03-23 01:15:16> pythonnet - 2.5.2\n", - "2022-03-23 01:15:16> pywin32 - 225\n", - "2022-03-23 01:15:16> pyyaml - 5.4.1\n", - "2022-03-23 01:15:16> scikit-learn - 0.24.2\n", - "2022-03-23 01:15:16> scipy - 1.7.1\n", - "2022-03-23 01:15:16> streamlit - 1.2.0\n", - "2022-03-23 01:15:16> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 01:15:16> streamlit> - \n", - "2022-03-23 01:15:16> tables - 3.6.1\n", - "2022-03-23 01:15:16> tqdm - 4.56.0\n", - "2022-03-23 01:15:16> twine - \n", - "2022-03-23 01:15:16> twine> - \n", - "2022-03-23 01:15:16> watchdog - 2.1.5\n", - "2022-03-23 01:15:16> wget - 3.2\n", - "2022-03-23 01:15:16> \n", - "2022-03-23 01:15:16> Check for settings not completely implemented yet.\n", - "2022-03-23 01:15:16> Checking if files exist.\n", - "2022-03-23 01:15:16> FASTA Files have a total size of 13.12 Mb\n", - "2022-03-23 01:15:16> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 01:15:16> Shortnames not set. Setting to filename.\n", - "2022-03-23 01:15:16> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 01:15:16> Workflow has 11 steps\n", - "2022-03-23 01:15:16> ==== create_database ====\n", - "2022-03-23 01:15:16> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", - "2022-03-23 01:15:16> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", - "2022-03-23 01:15:16> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", - "2022-03-23 01:15:16> Creating a new database from FASTA.\n" + "2022-03-27 01:19:30> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", + "2022-03-27 01:19:32> No settings provided. Creating from default settings.\n", + "2022-03-27 01:19:32> Couldn't find compiled exe. Using Python version for testing.\n", + "2022-03-27 01:19:32> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327011932.txt.\n", + "2022-03-27 01:19:32> Platform information:\n", + "2022-03-27 01:19:32> system - Windows\n", + "2022-03-27 01:19:32> release - 10\n", + "2022-03-27 01:19:32> version - 10.0.19044\n", + "2022-03-27 01:19:32> machine - AMD64\n", + "2022-03-27 01:19:32> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 01:19:32> cpu count - 24\n", + "2022-03-27 01:19:32> ram memory - 116.7/127.7 Gb (available/total)\n", + "2022-03-27 01:19:32> \n", + "2022-03-27 01:19:32> Python information:\n", + "2022-03-27 01:19:32> SQLAlchemy - 1.4.23\n", + "2022-03-27 01:19:32> alphapept - 0.4.4\n", + "2022-03-27 01:19:32> biopython - 1.78\n", + "2022-03-27 01:19:32> bumpversion - \n", + "2022-03-27 01:19:32> bumpversion> - \n", + "2022-03-27 01:19:32> click - 7.1.2\n", + "2022-03-27 01:19:32> click> - \n", + "2022-03-27 01:19:32> fastcore - 1.3.21\n", + "2022-03-27 01:19:32> h5py - 3.4.0\n", + "2022-03-27 01:19:32> jupyter - 1.0.0\n", + "2022-03-27 01:19:32> jupyter> - \n", + "2022-03-27 01:19:32> jupyter_contrib_nbextensions - \n", + "2022-03-27 01:19:32> jupyter_contrib_nbextensions> - \n", + "2022-03-27 01:19:32> matplotlib - 3.3.3\n", + "2022-03-27 01:19:32> nbdev - 1.1.23\n", + "2022-03-27 01:19:32> nbdev> - \n", + "2022-03-27 01:19:32> networkx - 2.6.3\n", + "2022-03-27 01:19:32> numba - 0.54.0\n", + "2022-03-27 01:19:32> numpy - 1.20.3\n", + "2022-03-27 01:19:32> pandas - 1.3.4\n", + "2022-03-27 01:19:32> plotly_express - 0.4.1\n", + "2022-03-27 01:19:32> psutil - 5.8.0\n", + "2022-03-27 01:19:32> pyinstaller - \n", + "2022-03-27 01:19:32> pyteomics - 4.4.2\n", + "2022-03-27 01:19:32> python - 3.8.12\n", + "2022-03-27 01:19:32> pythonnet - 2.5.2\n", + "2022-03-27 01:19:32> pywin32 - 225\n", + "2022-03-27 01:19:32> pyyaml - 5.4.1\n", + "2022-03-27 01:19:32> scikit-learn - 0.24.2\n", + "2022-03-27 01:19:32> scipy - 1.7.1\n", + "2022-03-27 01:19:32> streamlit - 1.2.0\n", + "2022-03-27 01:19:32> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 01:19:32> streamlit> - \n", + "2022-03-27 01:19:32> tables - 3.6.1\n", + "2022-03-27 01:19:32> tqdm - 4.56.0\n", + "2022-03-27 01:19:32> twine - \n", + "2022-03-27 01:19:32> twine> - \n", + "2022-03-27 01:19:32> watchdog - 2.1.5\n", + "2022-03-27 01:19:32> wget - 3.2\n", + "2022-03-27 01:19:32> \n", + "2022-03-27 01:19:32> Check for settings not completely implemented yet.\n", + "2022-03-27 01:19:32> Checking if files exist.\n", + "2022-03-27 01:19:32> FASTA Files have a total size of 13.116 Mb\n", + "2022-03-27 01:19:32> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 01:19:32> Shortnames not set. Setting to filename.\n", + "2022-03-27 01:19:32> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 01:19:32> Workflow has 11 steps\n", + "2022-03-27 01:19:32> ==== create_database ====\n", + "2022-03-27 01:19:32> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", + "2022-03-27 01:19:32> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", + "2022-03-27 01:19:32> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", + "2022-03-27 01:19:32> Creating a new database from FASTA.\n" ] }, { @@ -2874,24 +2791,25 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:15:17> FASTA contains 20,611 entries.\n" + "2022-03-27 01:19:33> FASTA contains 20,611 entries.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [03:56<00:00, 236.87s/it]\n", " 0%| | 0/1 [01:37 Digested 20,611 proteins and generated 5,076,854 spectra\n", - "2022-03-23 01:17:52> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 1.94 GB\n", - "2022-03-23 01:17:59> ==== import_raw_data ====\n" + "2022-03-27 01:21:25> Digested 20,611 proteins and generated 5,076,854 spectra\n", + "2022-03-27 01:22:10> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 1.94 GB\n", + "2022-03-27 01:22:17> ==== import_raw_data ====\n" ] }, { @@ -2906,9 +2824,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:17:59> Processing 4 files for step raw_conversion\n", - "2022-03-23 01:17:59> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:18:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step raw_conversion succeeded. 25.00 %\n" + "2022-03-27 01:22:17> Processing 4 files for step raw_conversion\n", + "2022-03-27 01:22:17> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:23:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step raw_conversion succeeded. 25.00 %\n" ] }, { @@ -2916,17 +2834,16 @@ "output_type": "stream", "text": [ "\n", - " 25%|████████████████████ | 0.25/1 [00:53<02:39, 213.23s/it]\u001b[A" + " 25%|████████████████████ | 0.25/1 [00:53<02:40, 213.34s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:18:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step raw_conversion succeeded. 50.00 %\n", - "2022-03-23 01:18:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step raw_conversion succeeded. 75.00 %\n", - "2022-03-23 01:18:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step raw_conversion succeeded. 100.00 %\n", - "2022-03-23 01:18:53> ==== feature_finding ====\n" + "2022-03-27 01:23:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step raw_conversion succeeded. 50.00 %\n", + "2022-03-27 01:23:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step raw_conversion succeeded. 75.00 %\n", + "2022-03-27 01:23:11> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step raw_conversion succeeded. 100.00 %\n" ] }, { @@ -2934,18 +2851,14 @@ "output_type": "stream", "text": [ "\n", - "\n", - " 0%| | 0/1 [00:00 Processing 4 files for step find_features\n", - "2022-03-23 01:18:53> Setting Process limit to 14\n", - "2022-03-23 01:18:53> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 01:23:46> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step find_features succeeded. 25.00 %\n" + "2022-03-27 01:23:11> ==== feature_finding ====\n" ] }, { @@ -2954,16 +2867,17 @@ "text": [ "\n", "\n", - " 25%|███████████████████▊ | 0.25/1 [04:53<14:39, 1172.17s/it]\u001b[A\u001b[A" + " 0%| | 0/1 [00:00 Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step find_features succeeded. 50.00 %\n", - "2022-03-23 01:23:46> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step find_features succeeded. 75.00 %\n", - "2022-03-23 01:23:46> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step find_features succeeded. 100.00 %\n" + "2022-03-27 01:23:11> Processing 4 files for step find_features\n", + "2022-03-27 01:23:11> Setting Process limit to 14\n", + "2022-03-27 01:23:11> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 01:28:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step find_features succeeded. 25.00 %\n" ] }, { @@ -2972,14 +2886,15 @@ "text": [ "\n", "\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [04:53<00:00, 222.32s/it]\u001b[A\u001b[A" + " 25%|███████████████████▊ | 0.25/1 [04:49<14:28, 1158.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:23:46> ==== search_data ====\n" + "2022-03-27 01:28:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step find_features succeeded. 50.00 %\n", + "2022-03-27 01:28:03> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step find_features succeeded. 75.00 %\n" ] }, { @@ -2988,19 +2903,15 @@ "text": [ "\n", "\n", - "\n", - " 0%| | 0/1 [00:00 Starting first search.\n", - "2022-03-23 01:23:46> Processing 4 files for step search_db\n", - "2022-03-23 01:23:46> Searching. Setting Process limit to 14.\n", - "2022-03-23 01:23:46> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 01:24:26> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step search_db succeeded. 25.00 %\n" + "2022-03-27 01:28:03> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step find_features succeeded. 100.00 %\n", + "2022-03-27 01:28:03> ==== search_data ====\n" ] }, { @@ -3010,15 +2921,18 @@ "\n", "\n", "\n", - " 25%|████████████████████ | 0.25/1 [00:40<02:00, 160.22s/it]\u001b[A\u001b[A\u001b[A" + " 0%| | 0/1 [00:00 Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step search_db succeeded. 50.00 %\n", - "2022-03-23 01:24:27> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step search_db succeeded. 75.00 %\n" + "2022-03-27 01:28:03> Starting first search.\n", + "2022-03-27 01:28:03> Processing 4 files for step search_db\n", + "2022-03-27 01:28:03> Searching. Setting Process limit to 14.\n", + "2022-03-27 01:28:03> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 01:28:42> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step search_db succeeded. 25.00 %\n" ] }, { @@ -3028,48 +2942,52 @@ "\n", "\n", "\n", - " 75%|████████████████████████████████████████████████████████████▊ | 0.75/1 [00:40<00:10, 41.99s/it]\u001b[A\u001b[A\u001b[A" + " 25%|████████████████████ | 0.25/1 [00:39<01:57, 156.87s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:24:27> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step search_db succeeded. 100.00 %\n" + "2022-03-27 01:28:42> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step search_db succeeded. 50.00 %\n", + "2022-03-27 01:28:42> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step search_db succeeded. 75.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [06:30<00:00, 390.81s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [05:37<00:00, 337.25s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [09:17<00:00, 557.65s/it]\n" + "\n", + "\n", + "\n", + " 75%|████████████████████████████████████████████████████████████▊ | 0.75/1 [00:39<00:10, 41.23s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:24:42> First search complete.\n", - "2022-03-23 01:24:42> ==== recalibrate_data ====\n" + "2022-03-27 01:28:43> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step search_db succeeded. 100.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 0%| | 0/1 [00:00 Processing 4 files for step calibrate_hdf\n", - "2022-03-23 01:24:42> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:25:38> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step calibrate_hdf succeeded. 25.00 %\n" + "2022-03-27 01:28:59> First search complete.\n", + "2022-03-27 01:28:59> ==== recalibrate_data ====\n" ] }, { @@ -3077,15 +2995,16 @@ "output_type": "stream", "text": [ "\r", - " 25%|████████████████████ | 0.25/1 [00:55<02:45, 221.12s/it]" + " 0%| | 0/1 [00:00 Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step calibrate_hdf succeeded. 50.00 %\n", - "2022-03-23 01:25:41> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step calibrate_hdf succeeded. 75.00 %\n" + "2022-03-27 01:28:59> Processing 4 files for step calibrate_hdf\n", + "2022-03-27 01:28:59> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:29:55> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step calibrate_hdf succeeded. 25.00 %\n" ] }, { @@ -3093,34 +3012,31 @@ "output_type": "stream", "text": [ "\r", - " 75%|████████████████████████████████████████████████████████████▊ | 0.75/1 [00:58<00:15, 62.29s/it]" + " 25%|████████████████████ | 0.25/1 [00:55<02:46, 221.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:25:41> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step calibrate_hdf succeeded. 100.00 %\n", - "2022-03-23 01:25:41> ==== search_data ====\n" + "2022-03-27 01:29:55> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step calibrate_hdf succeeded. 50.00 %\n", + "2022-03-27 01:29:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step calibrate_hdf succeeded. 75.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n", - " 0%| | 0/1 [00:00 Starting second search with DB.\n", - "2022-03-23 01:25:41> Processing 4 files for step search_db\n", - "2022-03-23 01:25:41> Searching. Setting Process limit to 14.\n", - "2022-03-23 01:25:41> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 01:26:08> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step search_db succeeded. 25.00 %\n" + "2022-03-27 01:29:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step calibrate_hdf succeeded. 100.00 %\n", + "2022-03-27 01:29:58> ==== search_data ====\n" ] }, { @@ -3128,15 +3044,18 @@ "output_type": "stream", "text": [ "\n", - " 25%|████████████████████ | 0.25/1 [00:26<01:20, 106.78s/it]\u001b[A" + " 0%| | 0/1 [00:00 Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step search_db succeeded. 50.00 %\n", - "2022-03-23 01:26:08> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step search_db succeeded. 75.00 %\n" + "2022-03-27 01:29:58> Starting second search with DB.\n", + "2022-03-27 01:29:58> Processing 4 files for step search_db\n", + "2022-03-27 01:29:58> Searching. Setting Process limit to 14.\n", + "2022-03-27 01:29:58> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 01:30:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step search_db succeeded. 25.00 %\n" ] }, { @@ -3144,30 +3063,32 @@ "output_type": "stream", "text": [ "\n", - " 75%|████████████████████████████████████████████████████████████▊ | 0.75/1 [00:26<00:06, 27.97s/it]\u001b[A" + " 25%|████████████████████ | 0.25/1 [00:27<01:21, 108.29s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:26:08> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step search_db succeeded. 100.00 %\n" + "2022-03-27 01:30:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R5.raw for step search_db succeeded. 50.00 %\n", + "2022-03-27 01:30:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R14.raw for step search_db succeeded. 75.00 %\n", + "2022-03-27 01:30:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R19.raw for step search_db succeeded. 100.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [01:28<00:00, 88.87s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [02:28<00:00, 148.88s/it]\n" + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [02:30<00:00, 150.63s/it]\n", + "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [01:34<00:00, 94.11s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:26:22> Second search complete.\n", - "2022-03-23 01:26:23> ==== score ====\n" + "2022-03-27 01:30:40> Second search complete.\n", + "2022-03-27 01:30:41> ==== score ====\n" ] }, { @@ -3182,9 +3103,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:26:23> Processing 4 files for step score_hdf\n", - "2022-03-23 01:26:23> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:27:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step score_hdf succeeded. 25.00 %\n" + "2022-03-27 01:30:41> Processing 4 files for step score_hdf\n", + "2022-03-27 01:30:41> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:32:11> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\Hela_P035210_BA1_S00_A00_R1.raw for step score_hdf succeeded. 25.00 %\n" ] }, { @@ -3192,15 +3113,15 @@ "output_type": "stream", "text": [ "\r", - " 25%|████████████████████ | 0.25/1 [01:29<04:28, 357.68s/it]" + " 25%|████████████████████ | 0.25/1 [01:29<04:29, 359.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:27:52> ==== isobaric_labeling ====\n", - "2022-03-23 01:27:52> ==== protein_grouping ====\n" + "2022-03-27 01:32:11> ==== isobaric_labeling ====\n", + "2022-03-27 01:32:11> ==== protein_grouping ====\n" ] }, { @@ -3216,8 +3137,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:27:52> Fasta dict with length 20,611, Pept dict with length 5,076,860\n", - "2022-03-23 01:27:52> Extracting protein groups.\n" + "2022-03-27 01:32:11> Fasta dict with length 20,611, Pept dict with length 5,076,860\n", + "2022-03-27 01:32:11> Extracting protein groups.\n" ] }, { @@ -3227,7 +3148,7 @@ "\n", "\n", "\n", - " 25%|████████████████████ | 0.25/1 [01:29<04:28, 358.52s/it]\u001b[A\u001b[A\u001b[A\n", + " 25%|████████████████████ | 0.25/1 [01:30<04:30, 360.26s/it]\u001b[A\u001b[A\u001b[A\n", " 0%| | 0/1 [00:00 A total of 20,225 unique and 1,603 shared peptides.\n", - "2022-03-23 01:27:53> A total of 460 ambigious proteins\n", - "2022-03-23 01:27:53> A total of 103 unique and 8 shared peptides.\n", - "2022-03-23 01:27:53> A total of 8 ambigious proteins\n", - "2022-03-23 01:27:53> Global FDR on protein_group\n", - "2022-03-23 01:27:53> 3,346 target (33 decoy) of 3566 PSMs. fdr 0.009863 for a cutoff of 0.47 (set fdr was 0.01)\n", - "2022-03-23 01:27:53> Global FDR cutoff at 0.47441142944038495.\n", - "2022-03-23 01:27:54> FDR on proteins complete. For 0.01 FDR found 23,925 targets and 33 decoys. A total of 3,379 proteins found.\n", - "2022-03-23 01:27:54> Saving complete.\n", - "2022-03-23 01:27:54> Protein groups complete.\n", - "2022-03-23 01:27:54> ==== quantification ====\n", - "2022-03-23 01:27:54> Reading protein_fdr for quantification.\n", - "2022-03-23 01:27:54> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", - "2022-03-23 01:27:54> Complete.\n" + "2022-03-27 01:32:11> A total of 20,225 unique and 1,603 shared peptides.\n", + "2022-03-27 01:32:12> A total of 460 ambigious proteins\n", + "2022-03-27 01:32:12> A total of 103 unique and 8 shared peptides.\n", + "2022-03-27 01:32:12> A total of 8 ambigious proteins\n", + "2022-03-27 01:32:12> Global FDR on protein_group\n", + "2022-03-27 01:32:12> 3,346 target (33 decoy) of 3566 PSMs. fdr 0.009863 for a cutoff of 0.47 (set fdr was 0.01)\n", + "2022-03-27 01:32:12> Global FDR cutoff at 0.47441142944038495.\n", + "2022-03-27 01:32:12> FDR on proteins complete. For 0.01 FDR found 23,925 targets and 33 decoys. A total of 3,379 proteins found.\n", + "2022-03-27 01:32:12> Saving complete.\n", + "2022-03-27 01:32:12> Protein groups complete.\n", + "2022-03-27 01:32:12> ==== quantification ====\n", + "2022-03-27 01:32:12> Reading protein_fdr for quantification.\n", + "2022-03-27 01:32:12> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", + "2022-03-27 01:32:12> Complete.\n" ] }, { @@ -3269,7 +3190,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:27:54> Starting profile extraction.\n" + "2022-03-27 01:32:12> Starting profile extraction.\n" ] }, { @@ -3284,28 +3205,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:27:54> LFQ complete.\n", - "2022-03-23 01:27:54> Extracting protein_summary\n", - "2022-03-23 01:27:54> Saved protein_summary of length 3,379 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 01:27:54> Updating protein_fdr.\n", - "2022-03-23 01:27:54> Exporting as csv.\n", - "2022-03-23 01:27:55> Saved df of length 23,958 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 01:27:55> ==== export ====\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:02<00:00, 2.05s/it]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-23 01:27:57> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", - "2022-03-23 01:27:57> Analysis complete.\n" + "2022-03-27 01:32:12> LFQ complete.\n", + "2022-03-27 01:32:12> Extracting protein_summary\n", + "2022-03-27 01:32:12> Saved protein_summary of length 3,379 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 01:32:13> Updating protein_fdr.\n", + "2022-03-27 01:32:13> Exporting as csv.\n", + "2022-03-27 01:32:13> Saved df of length 23,958 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 01:32:13> ==== export ====\n", + "2022-03-27 01:32:15> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 01:32:15> Analysis complete.\n" ] } ], @@ -3322,8 +3230,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_1436/2038381451.py:9: DtypeWarning: Columns (51) have mixed types.Specify dtype option on import or set low_memory=False.\n", - " df1, df2 = prepare_files(os.path.join(TEST_DIR,'results.hdf'), os.path.join(tmp_folder,'PXD015087_ref_evd.txt'))\n" + "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_22996/2038381451.py:9: DtypeWarning: Columns (51) have mixed types.Specify dtype option on import or set low_memory=False.\n", + " df1, df2 = prepare_files(os.path.join(TEST_DIR,'results.hdf'), os.path.join(tmp_folder,'PXD015087_ref_evd.txt'))\n", + "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:04<00:00, 4.66s/it]\n" ] }, { @@ -4235,7 +4144,7 @@ }, { "data": { - "image/png": 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\n", 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bb+fyyy/3Ky59fHw6HF9//TWnn346v/76a5vc3/eU+bR7KsoqSSVTFBR1RgjR1uL4rIEjjjiC5cuXYxi+evHx8elYjB49mqOOOoohQ4a0yf19T5lPu2Xl8lLGH3Ihew8/goO2OY5Dxp7I9Mm/t7VYPk0gpWTmzJkAbLbZZuy8885tLJGPj49Py5k9eza2bRMKhTj66KPbbFHpG2U+7RLXdRl/8AVM/W46lmWTSlosmr+EMw7/FyuKN0y/GJ+W8/bbb3PxxRczb968thbFx8fHZ60oKSnh0ksv5emnn25rUfzwpU/75Kdvp1GyfBWO49bbbts2rz/zHqddfHwbSebTFHvttRfhcJh+/fq1tSg+Pj4+a0VBQQHnnHMOI0eObGtRfE+ZT/ukeNEKJI3HWqSSFovmLWkDiXya4scff8SyLEKhEHvuuaef8+fj49NhWLx4MYsWLQJgl112IScnp40l8o0yn3bK5iM3w3UaG2XhSIitt9uyDSTyaciiRYu4/vrrefPNN9taFB8fH5+1QkrJnXfeyc0337zB5lq2hFYLXwohegETgCJAAo9IKe/29p0NnAk4wLtSyktaSw6fjkn/zfqww+7bMGnijyTiSQAM0yCvcy77/t+4NpbOB6BXr15cddVVbLXVVm0tio+Pj89aIYTg4osvJplMtisPf2vmlNnAhVLKn4QQ2cAUIcTHKCPtYGArKWVSCFHYijL4dGD+8+i/ee7hV3n1qXdIJpKMO2AnTr3wOMLRDddd2acx06ZNIycnh759+zJ69Oi2FsfHx8enxdTU1PDdd9+x++67061bt7YWpxGtZpRJKYuBYu/7KiHEDKAHcCpws5Qy6e1b0Voy+HRsDEPn+DOP4Pgzj2hrUXw8HMfhgQceoFOnTtx0003taoXp4+PjsybeeustXnrpJYYNG7ZpGWWZCCH6AiOB74HbgJ2EEDcCCeAiKeWPG0IOHx+fv4au61x33XWYpukbZD4+Ph2OI488ktGjR7dLgww2QKK/ECILeBU4T0pZiTIE84GxwMXAS6IJ7S6EGC+EmCyEmLxy5crWFtNnI2TZ0lVM+uI3/py3vK1F6fAUFxfz9ttvA1BYWEinTp3aWKL2ja+/fHzaD67r8vzzz1NTU4OmaQwaNKitRWqWVvWUCSFMlEH2rJTyNW/zYuA1qcodfhBCuEABUE9zSSkfAR4BGD16dPspjfBp99i2ww2XPctnH07FDBjYtsMWI/pxy/2nEokG21q8Dsn777/PJ598wk477UReXl5bi9Pu8fWXj0/7Ye7cubz00ksUFhay++67t7U4q6XVPGWe9+txYIaU8s6MXW8Au3nHDAYCgN+i3We94Dgut179PBM/+JlUyqamOkEyYTHtp3ncft1LbS1eh+Wkk07irrvu8g0yHx+fDsegQYN44IEH2r1BBq0bvtwBOA4YJ4SY6r32A/4H9BdC/Aq8AJwg21OTEJ8Oy5w/FnLg2DN5+9XvsCyn3r5UyuaT937CbrC9ltKVZRy31xmMLtqTUYV7sO9WRzH1h183hNjtlng8zv33309VVRVCCIqKitpaJB8fH58W8/rrrzN16lSAdptD1pDWrL78GmguE/jY1rqvz6bHwgUlVFXGufCk/7CqpBwt1JmmctAdV2JZNoap19tupSwOGXsCNVWx9LYVxSX846Dzee2bJ+g9oGdrP0K7ZO7cuXz++efssMMOjBgxoq3F8fHx8WkxqVSKiRMnMnDgwA6lv/zZlz4dluIlZVxy9gSWLF4FQDKVizBSSNcCLdCoOrBv/yLCkcY5ZW+/8GE9g6wW6Upu//cD3PPcTa3zAO2c4cOH8/jjj7eL0SM+Pj4+a0MgEODmm28mGOxYecT+mCWfDomUknNOfZwF81aQTFgkExYIDT3SBekkAVlvdEYoHODS645q8lqTv/ml2fvM+m3e+ha9XSOl5P7772fKlCkAvkHm4+PTofjxxx958MEHcV2XaDSKYXQs35NvlPl0SH79ZSHlq6pxXQnCABEAEUAIA83Mwk2UIe0YApttxg7k6Tf/xRYj+zV5rc22GNjsffr079Faj9AuicVizJ49m7lz57a1KD4+Pj5rzdy5c5k1axapVKqtRVknOpYJ6ePjsaq0GhDKGIN0qFJioAfzcBOlBAMOAzcr4I5HzsAMNP+n/n8nHMCDNz+BlbIb7bvw+jNaRf72iJSSaDTKrbfeimmabS2Oj4+PT4uRUiKE4KijjuLQQw8lEAi0tUjrhO8p8+mQDN+qN8mkC1Avd0wIgaabbLntllxy3Uk8/NJVqzXIALKyozzz8YMUFOWnt4UjYW574hoGDx/QOg/QznjzzTe5++67cRyHQKBxPp6Pj49Pe2XRokVcfPHFLFu2DKDDGmTge8p8OiidC7LpM6CQ+XMat7gLhkz+dszeHHDI1i2+3sCh/fhw+ktUV9WAhKyc6PoUt90Tj8eJx+NtLYaPj4/PWpNIJIjH47iu29ai/GV8o8ynw7LfQSN55N6JjXqSCSHo1bdgna6Zlb1pGWOO46DrOkcddVTa/e/j4+PTEajVX4MGDeK+++7bKPSXH75sp7z/xiT+b7dL2HnYeE48+BqmfDejrUXa4Hzx8U+cePA17DfmXC45/R7mzV5Sb/9+B48gGKy/rjAMjZ698tlyRK8NKWqHZOrUqZxxxhkUFxcDbBQKzcfHZ9OgpqaGCy+8kI8//hjYePSXb5S1Q155+lNuvuJJFv+5gmQixYzpCzj/5Lv4+YeZbS3aBuPVZz7lqvMeYsb0BZSurODLj3/m5EOuY/6cpQC88/rPHLL3PdTEXYRmgmai6Rq77TmMux89fqP5gLYmOTk5FBYWkp2d3dai+Pj4+KwVhmFQWFhI586d21qU9YroCBOORo8eLSdPntzWYmwQHMdl79FnU1VR02jflqMG8ejLV7SBVBsW27LZa/TZ1FTVz3ESmmC3vUfxt7/vw8XnvITr1l8d6brGEy+cQr/+BSSTNg/f8ynvvP4TyaTNliN7cf6l+9F/YOGGfpx2RzweJxwOt7UYa0QIMUVKObqt5firbEr6y8entbFtGyllu68QX1f95XvK2hlVFTUk48km9zUM33V0VhSXMuHB17n3pgn8+M30dLPX5cWrcOzGCZvSlUz/eS4P/veTRgYZqPyCFyZ8B8C/L3qJ11/6kVgsheO4/Dz5T/55wv9Yubyy9R+sHbNixQpOP/10Pvnkk7YWxcfHx2etkFJy5513ct11120USf1N4Sf6tzOyssMYpkGqiZ5Z3XuuW/J6e+SbT6fwr9NuQ7qSVMri5Sc/YPT2w7nt8X+Rl59d94ETGnq4AGGEkFaMgqJcFi6sQujeKklKkLWJ/oIF80tZ9Gcp30+ai+PU/9AmEhavvvgDp5+zx4Z70HZGXl4eW2+9NZtttllbi+Lj4+OzVgghGD16NJWVlWjaxulT2jifqgNjmAbH/GNvQuH6fVaCoQCnXXBoG0m1fkklLa446y6SiRSplAVAPJZg8qTpfPzWN0Szwux14BiCkSihwpGYOX0ws7pj5vVj0aouOFJDCKE8ZUKAVre2GLVtHyZ9NQvHcRrd13Fcfv1l0QZ7zvZEVVUVqVSKQCDAueeeS69efiGEj49Px2HVKjXjeNy4cfztb39rW2FaEd8oa4eccvbBnHjGAWRlh9F0jS5FeVx5y8nsOG5EW4u2Xpg2+Q/l4WpAPJbk3Vc+B+Bf159AQZ8tQdMRmo4IZmPk9YWcPuid+qNFitDCndHMiDpZCEIhk8OP3oaF85Y3c2fJogUr+enHTWuepeu6XHvttdx00010hBxSHx8fn0zeeecdzjjjDJYuXdrWorQ6fviyHaJpGiedeRAn/PMAUimbYNDcqKoJdUNvdp9hqj9JTdcprwIhNLRoASKYjRDeGiIQRTcjuDUlIDQ0zSA7lOLxp4+nU36UnLwIaiB5xvglzxgpWVnJeadNYMz2A7j+tqMIhdt3suj6QNM0DjroIILB4Eb1d+Tj47NpMGbMGEpLS+nWrVtbi9Lq+J6ydoymaYRCG9/Imy1GbZY2vjIJR4IcfNTugIpKCgGYEUQwp84gg3TYUgQiymgzwux70FYUdcsFYI99tsQ0JOAgpfQMMs9DJAxcV/Dt13M5bL//sqy4opWftu1wHIclS1RxyM4778yYMWPaWCIfHx+flrNw4UKklHTp0oUTTjhho/tf2BS+UeazwTEMnTv+dymRaJhwNEQgYBAMBdjr4J3YZe9tAdA0wbZjeqFHmu5BI4RA6LV5d5IeveqO++PX+bhWDKQNbhJkilqjrO5DLSgvi3HHje+20lO2PRMmTOD8889P52L4+Kwtv/00gxP3/SfbdtuNPYcezFP3Pb/RVr35tC/mzp3LOeecw4cfftjWomxQ/PClT5uw1TZDeW/KY3z+wXdUltewzY5bMHBIHwDef2sy9932DpVxA7NwBE2tjaSUSLeuQvX2a1/gmYci7LHPFjz/vw9JJlIgNIQZRdNM9X0Tq6zvJ83BdSWatvGtwA466CC6du1Kfn7+mg/28WnA9Cm/84+DziKVSAFQsqKUh25+nBXFK7n4xnPaWDqfjZ3+/ftzwgknsPPOO7e1KBsUv3msT7viy4m/cuX5E7BtF2FGCXYfhTCCgKhnVEkpcWtKkU4KaSewymbX7XMdpB1TPwgNLZiH0JrOpxICvvzpqo3KLT5t2jS22GKLDv9MfvPYtiGZSHLjhbfz7ksfNukVC4YCfDzjLbJzstpAOp+NnQULFpCfn09OTk5bi/KX8JvH+mwU3HPLW9he41hp1SAdC+nY4OWGpV/JaqSTwk1VY5U3qKYUGmheaFO6SKsGpNOo8lBKSSjUtAetozJ16lSuuOIKvvrqq7YWxaeDctPFd/DRG582G6Y0TJMlCzb+KjifDY9lWVx33XXceeedbS1Km+GHL33aFcuLy+v9nFo+jWC3kUjpoBs6mqax605dmfTOZEpLKjIax9YhvN5l0lVhF+kkkU4MYUSRMqNgAMn2O/Vv1efZ0Gy11Vacf/757LDDDm0tik8HpKYqxgevfkIqmWr2GCtl0a1X1w0olc+mgmmaXHDBBZt0yoXvKfNpVwSC9dcJ0qohsfAbUit/J7XydxJ/foG1/Be2Ht0bQWODrCmCIZORo/sSMGykE0e6SXDjBAM2p561d2s8xgZn6tSpVFRUIIRg3Lhx6HrzbUd8fJqjoqwCTW/+30IoHGS/w/cit1PHDi35tC/Ky8uZOnUqAMOHD6d79+5tK1Ab4htlPu2KPfcb2cRWiVOzkmTJHJLVZUz8YAqDh3QlEg02eQ1VBKAmBWia4JCjd+a+J8/ivEsPpEfPPLKiOtvtNJjHnj+bnr07/uiqWCzGLbfcwuOPP97Wovh0cAq7d8Fsol0NgKZrHHXqYVx++0UbWCqfjZ0nn3ySm2++mZqamrYWpc3xw5c+7YbvvpjKvF+noQkXNx1mlN54y0T6uKRl8Mwz08nvMZBcK86yPxfiujbS9XLGXBs8o8wMGPTp1xUhBAcfvh0HH77dBn6q1icSiXDttddu0qtLn/WDYRicd+2Z3HbZ3STi6jOnaRqhcJAJHz/CgM36tbGEPhsj48ePZ5999iEajba1KG1OqxllQohewASgCNUk6hEp5d0Z+y8Ebge6SClLWksOn/bLsqWreOulr1m2dBVIi4/emEgyngQEeigXPZAFQse1EyBV0rEWyMbI7kksIYgVV6Fpguwufdhnr168+vTHpFKp9LGgvGZjd968jZ6wdfnzzz9ZtmwZY8aMYfDgwW0tjs9GwqHHHUiXrgU8fsdTLFuynK223YLT/3UK/Qb3aWvRNmrKV1Vw3w0P8/Gbn6FpGvsdvhdnXHYq0exIW4vWKti2zbvvvssBBxxAJBJhyJAhbS1Su6A1PWU2cKGU8ichRDYwRQjxsZTyd89g2wtY2Ir392nHTPluJuf94z5su3YMpouUWUAKNBPXthGGhhbIQtezwAxiduqDHinATcaQVgxcBzdVQzxusbJMsOteW/LVp78QjyURmiAYNDnu1L3p1qPpBrQdnWeffZY5c+YwcuRIAoHAmk/w8WkhO+25HTvtufF5ldsrVsri+L1Po3jRMmxL9V985ck3+Pm7aTzzyaNo2saXafTjjz/y2GOP0atXL7beeuu2Fqfd0GpGmZSyGCj2vq8SQswAegC/A3cBlwBvttb92ytLF5WwYlkZ/QZ1Jzdv03TVuq7Lv858GMvyOvMLAB30ECKYB66NkdUToRkIoaFnF2EWDlWjlTQDEcoDKXETlWAncGtKmPbLEt5871S+//p3Pnl3MoGAwX6Hbs/wERtvuOWCCy6grKzMN8h8fDo4n733JaXLS9MGGUAqafHnnIX88OUUxu66TRtK1zpst9123H333fTvv3FVwP9VNkhOmRCiLzAS+F4IcTCwREr5y+r6QwkhxgPjAXr37r0hxGxVaqriXHrWQ/wyZS5mwMBK2Rx5wjjOuOiQjapPVktYOH85NTVWvecWegChGWhmGOmk0gYZCMwumyE0HYSqKKydfamFc5FJHQ3Iza1GCMHYnTZn7E4bZ7gSoKqqitdff51jjjmGUCi0SQzo7YhsbPrLp3WZ8cssYjXxRttTKYtZv83ZaIwyKSWvvvoq2223HT169PANsiZodaNMCJEFvAqchwppXo4KXa4WKeUjwCOgOmK3oogbhBsue4qpk+dgpWxSSZWE/vLTn9FvYDf2O6R9hgmklCxfWoph6BQUdVqnaywrruCO/3zIj9//iSsFkYjJ3vtuVu8YYUZId+wXGkILpAeQi0DUm07uue9FXQGAEAKCUWSqBiNgUlUZJzsnvI5P2zGYPHkyb775JjvssAMDBgxoa3F8mmFj018+rUvvAb0IR0PEaxL1tgeCAXr17dFGUq1/KioqeOONN6ipqeGEE05oa3HaJa06ZkkIYQLvAB9KKe8UQmwBfAp4M3DoCSwFtpVSLmvuOh1tTElDqqvi7Dv2IqyU3Whf/0Hdee69q9tAqtXz689z+Pe591KyvBzpugwc2psb7zuXHr0LGx379cSpPHHf2ywvLmXoFv055dyDGLJ5X6qqEhz9t4eorLSQ1A0DFwKcVAwnXgKaqbxk9byFGghDhTaNIME+2yGMEDTMq3AdpHRxq0txV/1Bty6Sp1+7EMPcuHt0rVy5ki5durS1GK2OP2apY1C+qoKP3phIVUU1Y3fdhs1H+gnbNVUx3nnpA6Z+N42+g/pwyHEHUtit+fY7seoY+488nMrySlyvilzTNQq7duGtKS8226akI1JSUkLnzp03+gjRuuqv1qy+FMDjwAwp5Z0AUsrpQGHGMQuA0Rt79WVNdbzZgdcV5Y37ssRqEnzzmUpYH7PTcIq6bdjuxqUryznr7zcSy1i1/TF9PuMPv4Y3v7kXw6gzel5//nP+e8NzJBIOQg/x1Rez+frLO9h620Fsu9PWVNfUN8hAJfYbwQhO0kBoeqMPpwhEAB1pxcFO4toJ9ECk0XFS08GRgCRVXcIKR+fLib8ybu+tWuNtaTMcx+Ghhx7iwAMPpHfv3puEQebTMfju8x+54LjLkFJipSweu/Mpxu2/M9c/cOVGmZzeEkpXrOKYcadQWVFFIpYgEAww4b7neOSNe9h866FNnhPJivDUhw9z9dk3MX3ybwCM3nFrrr3nso3CIPvyyy+pqKjgwAMPpKCg4/eGbE1a87e9A3AcMF0IMdXbdrmU8r1WvGe7pEtRHllZYZIJq952TRNsu0P9D+nkb2dw0fj/IhC4rsR1XU4660BOPvOg9DFlq2p48elv+fG7eXQpyuHoE7Znq5HrL2/lnVe+xLHrd8t3XUlNVZzvvviFHXdXlTK2ZXPfzS+RiFsIM6ue0fTzj3OYN78Gx9YRTShnKWHHcVvz7ZfT1ExKIdCiBYSG7KmMMsdGxspJzP0KYScanV9PtmQ1WiBKPFbJjOmLNjqjrLS0lB9++IH+/fv7+Uk+7QYrZXHxSf8mHqv7fDqxBJ+99yWfvfsVux+4SxtK13bcd+MjlK5cldahqWSKVBKuOutGXp30TLPn9e7fkyfefYB4LIEQglC46ebYHQ0pJd999x1lZWXst99+/rSRNdCa1ZdfA6v1T0op+7bW/dsTmqbxrxuO5arzHiOZspCuxDR1wpEg48+rM7YSiRQXj7+beE2y3vlPPfAO2+6wOcNHDKC0pJoTj3iI6qoEluUwc0YxP343jwsv34/9DhqxVnJ9/9Xv3HPLKyyct4yCwjz+cc4B7H/o9hQvXkkyaTU63nFcVixblf55xbIybNtG6I2r/6SEWHUNwshGStnYyyUle+43kn+csRtnXPgR9B6N0bm3OtGVICUiJ49oKIfBPeGPOc10epYOAokWyiegJejea+ObmVZYWMgDDzzgN1b0aVdM/X46TaW/xGsSvP3Ce5usUfbFB183WtQCLJq/hPJVFeTl5672/HAk1FqitQlCCC688EIsy/INshawafqX24Cdd9+Kh56/iD32G83QLfpwxPHjePbdq+v10Pr+q1+bNGOTSYt3Xv4KgGee+JoqzyBL709Y3H3rB/W2rYkfJ83gkjMeZO7MJViWQ/GSUm675nleefozRmwzhHCk8SpNCNh8q7rk8txOWV7+g5Y2urRANoGCYQS7jkLL6YcwGifeSwRapBMrqnQ+mVdAeMxhGEX9wTDUK2CCaUAwhMzN548/083MGuO6SDuJ0DRMU29mTFPH5Pnnn+f1118H8A0yn3XCdV2evPc59hh6EGO678YpB5zJjF9mrpdrry4fuTVzlf8KiXiSd1/6kIdueZxP3vocy2qc5/tXCQab8XBJSSBgrvf7tVfmzp3L9ddfT01NDbquEwptXMZma9Hxg9UdiCHD+3D9Xf9odr+VstXsgwZIV5JIpAD47us52E0YX9KVLFxQwoBBRS2S5YHb3yDpXbOWRDzFI3e/zdtf38wT977OkoUrSKWUxywUDrDNDsPZbHhd369oVpg9DxjDh29PwZESLZCNmT8I4bWuQAQwIgHsWLnqyg/oeT0I9NgSkZfP0z9HwLQyKiuFMkpd6fUkAxkMIs0gMhlDeMZfrcKXjoVbvQIpHXKz4L/3nUlW9sZRfSmlZNGiRQSDwSY9jT4+LeH2K+7h9affSY9M+unbXzjlgDN5buL/6Dvor4XCR4zZoslQSDgS4sCj9vtL124Nli5axgl7jydWHSdWEycSDVPQtYCnPnhojd6rteH/TjyYx+98ikS8LuJhmAbb7DyKSNbG2Z2/KZYvX87ixYuJx+P+onIt8D1l7YhtdhiG3YTbOxwJssf+2wKQm9u00WHbDrm5Lf/AL5zfdLFrPJYgmbR4/I3rOPof+9G9Vxf6DOjO6RcdyS0Pnd/o+EtvOIHd9toKIcDI7llnkHm4LohgDgBaOIdAz60QPXtDXh4yHEBqmqqqDAcgZEIooF6a6kUmdA3NVOFRt6YU10oi7RRuvAJn1Z8YbjVdumQx4YWT6T+wa4ufvz1Ta4RddNFFnHXWWb5B5rNOVJZX8upTb6UNslpSSYvH75qwxvNj1XFeeeptrj3vdp5+4GXKV1XU2x8IBrj1iesJhUMEw0E1IzMSYpd9dmTcATuv12dZH1x37s2sKilP9wOL1cRZurCYu699sEXnL1+ygtm/z12jd+2Es49hzC6jCYaCRKJhItEwvfv35Pr7r/zLz9ARqF00b7/99tx///1+Yv9a4nvK2hG5eVlccNXfuev657AtG8dxCUeCbLfLFmy/65aUrqxk/tzFKHda3T9qXdfYYkRvCgqzW3yv7r0KmD1jcaPtwVAAw9B5bcLbfP3hZ+REDf7vhH054Mi9mswHCARNbrjndE6YuZTxp3/SzN0EQugYXYdC7744IY1EgYkbBOldUk9AqAx0G7VUCAWQsWT6fC2chV1RjJuoxomVIOwasvNyOPbEMRxwwBCysjaOrvbffvstb775JldeeSVZWVltLY5PB2bRvCUEgiapZH2PuOM4/D519SHMlctLOW7PM6iurCEeSxAMBXj8rmf53zt303+zuhmY2+22Le9OfZmP35hIZXkV2+22LZtvPbTdLSSslMXkr3/Gddx6223L5uM3P+Pquy9t9tzSFau46MQrmPHLTHTDQNc1rrjjYvY+ZPcmjzdNg/8+ewtz/5jHH9Nm0713V0aM2bLdvSetQXl5Oddeey0nnXQSW265JYbhmxhri/+OtTMOOXpXtho9iPde+4aa6ji77jWKbXfcHCEEj973IbGqGlypI7S6vAVNk1x7y/+t1X1OP/9vXH7Ow/UqQkPhAMeeuhdnHHYxs36f5w0Hh7kz/+TbiZO5+bF/N3mtRMLi0os/QLqa13nfc8CmB4NLtHAn9AFbIE2NRNcAtuFihS1cw0W3dSQGNV0FWcWgOZ7yEgIcB7wWHFo0H6dyhQpbJqupKl7CLjv930ZjkEGdl8xXZj5/lW69u6YbVWeiaYKBQ1ffSf3uax6mdGVZ2ohJJlKkkhbXnX87T753b71j8ws6ceQ/1k7/bGhc10U2lRsCrMlWOuvIi5j9+1wveV8ZuNec/R969evBsBHN92QbMKQ/A4ao91lKyfzZC7FTNgOG9t1o24W4roumaZjmppM7t77xNX87pP+gHpz1ryMabf/m899xHBdwka6XiyUlUtObDHuujh1224Krbj2Re29+leXFq8jJjXLiP/ela9cwc/6YnzbIABKxBF99/B2zfp3L4OGNu8hP+N+3lK5KgBYCM0qmF0/aSVVJmdUJDAMrV8c2HMq7lePqrjpUgmEZ5JTkkswRhMu8kzWBsGyk7v2ZmiFEIIJwkqAFMHWDlcvL6daj41dcWpaFaZpsv/32bLfddpvEqtqndckv6MTeh+zOR29OrPd5DgSDnHz+sc2et3zpSj547bNGyfpSSn7/eSaJeLLdtmuorqzhtaffYtKn31PUo5CjTz2M6spqLj/tuibzdU3TYO9D92j2erN/n8uCOQsbVVOmkkmefeglbnzoqjXKNPePBVx04tWsKC5B0zTCkRA3PXIFo3cYsbaP126xLAvDMMjPz+f222/39ddfwDfKOhCqIrKqboPniZJSEgqt/cpk931Hs/u+o7EtB91QSfS3XXF/o1EfAK6U/Pz99CaNsg/e/R0pBVooOz0eCSPDeyU09M69QYJjQnlROa7h1qs0tQM2lfmVdEplJNzGE16LDAckCNdFC+UgpUQ6KSzp0G8jyCNbuHAhV199Neeffz5bbrlphDl8Ngz//u+/yOucxytPvE4inqTf4D5cdusFbDZ8ULPnXHzStc1WTwpNQ9fbp5enqqKKo3Y9mdIVq0gmkmiaxoevfYJ0ZbpgKZNwNEy3nkWce9XpzV6zdPmqes2ya3FdybLFyxttnzdzAc89/BIL5y1m9A4j+dtxBzL+kAupWFWZfk9jNXHO+/uVvP7dk3Tp2vHzrWzb5sYbb6Rbt26cdtppvv76i/hGWQfi/47enofufr9eyNEwdEaNGfiXqg4zxxIVdisgEAw0ykMxDJ3OhXUeqT/nr2DiR9NxHKmqRmvDqcEs9HCeChW4LphBRDCC0HUkUN0pgRuob5DVesvsoIUjHJAaJFIIx0UCMh5DJrw+ZZqOFsxG2CUcfeJuZOd0/GqmnJwc+vTpQ1FRyypnfXxaimkaXHDdmZx/7RnYtrPG7vDLlqxg9u/zmt2/455jMBu0dUgmknz98XdUV1azzc6j6N6rbRZKTz/wIiXLS9IhW9d1G1WYI3QEAqFpbD9uOw49/gBCkeZ155CtBjcZAg6GAmw3bky9bd9+9gMXHHcZVsrCcVym/fgrTz/4MlJqjYxc23J4+8WPOPncY9bxadsPuq7Tt29funfv3taibBT4RlkH4rC/78jM3xcz8aNpmIaO40p69SngqpvX3wd7/8P35NHbn2603TRNdtpzLAAvTPiaR+79GNt2kGgIM4wWNNGzuiCCUQiG0cyg8nAZAdA0hOsSz4phZTUT9vCMtFTURsZcRCJVZ5BVlmYcKAnm5HPBJaPY+8COPRaxpqaGSCRCXl4e11xzTVuL47MRI4Ro0bie5UtXNuvpME2DK++4oN62336awT8POx/XcXFd9TrmtCM4ZzXep9bis3e/bNKAUgiEprz3tc/32XuT+P6LnzFMg7ufvZEttxnW6Ky8/FxOOPsYnn7gBRLe5ALTNMjNz+WIk/+WPk5KybXn3FyvDUYykcKyJEJr/L5blsWsX+eu45O2D6SUxGIxotEoJ554YluLs9HgG2UdCF3XuOrmYzjlzL2Z+ftiunbvxNDhvdaru7igKJ+7n7uRy8bfSLwmjuu6FHTtzB1PXkswFGDZ0jIevvcjUkkHLZANQlerQCOICEURuV2UESY0ZE4WhEIq702H6kE2WjPJtmk0ELajsm9jNZCIqdw518vpcF36DujKPgdts96euS1IJBJccskljBgxglNPPbWtxfHZxLFSFteffysfvPYpjtM4PKmbOsf+83A6da5LL7Btm7OPupiqiup6x77w6Ctsu9Moxu62YT+jOZ1ymt0nNLNJPVnbHuPsoy7jw19fajJX7p+XnsLgzQfy7EMvUr6qgp333pETzzmGnLy6+y1fuoLyVeWNznUdG42mu9jPm/nnmh6pXfPcc8/xxRdfcMcdd5Cd3fLKf5/V4xtlHZAevTrTo1fnNR+4jozafis+mPYCc2cswAgY9B1YZ/h9/cUfAGhmVIUChEAYEYy8XohQtuo5pmk43Tojs4K4msANSBAgDQcBaI5Wl+RfiwTN1tEdHbBB05C2DXaqrjxKOggc9t2zV6s9+4YiGAyyww47MHz48LYWxceHu655gI/enIiVSgFaPSMmFA7SuTCf48+qX3w09fvpjdIcQPU6fG3CWxvcKPv7aYczY+of9WZxapqGYZrYa2jcL6Vk0qc/MO6AnRrtE0Kwx0G7ssdBuzZ7fiQa9qabNLpys+csXrB09UK1c0aNGoVlWX7rnvVM+8zY9GlzNE1j0Ob96Teod70Vpu41dcVT2npOd8yiYWi5XSEUQQoNu08hVn6QVASssERqgBDotgYSAokQwhFKX3kvYQuilVkEKjMsNV0HR2lTiVKcdvli8kPlG/CdWL+kUinKysoQQnDMMcew5ZZbtrVIPps4juPw2oS3Mio0XaSbQro2gaDBuVeP54XPHiEnr743JJVMNdtPIh5vXCz0V5FSMuu3OcycPhvXdRvt323/nfn76UcQCAbIyo4SjoToO6g3T3/88BpbULiuS3V1bJ1ly8nLYcwuoxuEiAWa3vxooYbvZ0dhxYoVAAwZMoQTTzzRT+xfz/hGmc9qWbK0ihdenMFzz//OwoWV7DRuWHoMpTDC6FlFaHmFYJigC5y+RaQ6G9ghiR1ycQIutuESy4qTCqZwdG9sUzxCsDpMIB4kXB4luyKXQLVOsMzL+ndUCFOCV2UqqZn5HjWz3+Wa8+9bTe5I++a+++7jkksuIZlMrvlgH58NQCqRwk41dCVJpLQR2Bxx8sGEoyEmvvMFpx58NkfvdjKP3TmBwZsPbHLwdjgSYp/VtJlYF377aQb7bnkoJ+77T07e/wz23vwQfv7ul3rHCCE484rxvD/tVW569Boee/s+XvnmaQZvPpCd9hqLsZqcOsdxGbPz1quVwbZt/vffZ9h3q/9j10H7cdVZN7KiuCS9//oHrmTIloPVhINQGE1vvn9iMBTg2DMOb+HTtx+mTJnC+PHj+emnn9palI0W0V4Hx2YyevRoOXny5LYWY5Pjtddn8sijv2BZLlKNo2T3cX3YaqjJLTd+ip7TE71TH7S8Lgih4fbqRrxHBCfokIxYuJpLPKuKRFYMTWoYqSC6oxRjsDqMYesIR6A5GmZcI5A0MFcmETUJSMSRySSybAXSdYjNfBu7fD6gZm7e+sgFbLNDxwv9zZ49m3nz5rH33nu3tSjtHiHEFCllx67moP3rLyklB40+sslw2rY7jeLhN+7mnmsf4oXHXkmHBoOhAN16duXEc//Ofy6+E8dxsC2bcDTMlqM3576Xbl9vDZBrqmLss8UhVFfV1NseiYZ5d+orLZpbWVZawT//72IWLVhKKpFKe9qEEATDAY474whOv+SE1V7j4pOu5KuPv017FHVDJy8/l9e/e5bs3Dqv16SJP3D+cVdhr2Yc0+ZbD+HJ9+7pcE1kE4kEL730EkcddRSBwMbTtLs1WFf95eeU+TTJsuU1PPyIMshqkRI+mbiYH6YXEOqzHa4eRBgmSJChEG5uBGlIklFlkK3qvhQ7kADdASFJuhpGLEogFUFmSXJX5iEcQSChY8QFRkUKkbAgmVRDyZMx7MolxOZ9ioyX1pOvvfZKagopJXPnzmXgwIEMGjSIQYOa7xHl47OhEUJw2W0XcuHxl5NMpJBSoukawVCQC64/i5XLSnj24Zfq5Y8lEymWLV1BKpHixS+e4M3n3qN8VQW77LMDO+65XZMj2daVT9/+vMlwpeO4fPjaJy2aJtCpcy7Pf/Yw0yfPYOH8JZStLOOXyb8TDgf527H7MWr7rVZ7/rw/5vPZu196zbu9+9sONVU1vP7MOxx/5tHp7X/OXbJGY2veHwtYtbKcgqKO0fh6wYIF9OzZk1AoxPHHH9/W4mzU+EbZJkqsJsWrL/3EF5/NJjs7yKFHbM2OOw9I5wdMmrSknkGGZoBuooWyqbYCiEiOGqmkadCtGwQCoAtsU60Oq/PKsEMxpG6D5oBQ17KMJKISIEIiGqfTn9kEKmw0y4VEUr0AkgmO27WKx/7zJjJeP9SnGxpbjhrc2m/ReuPTTz/lnnvu4ZZbbmHo0KFtLY6PTyO2HzeGx966j8fvmsC8WX8yfORQTrngePoN7sPEd77ADDSeoZmIJXjgP4/y5L3PMWLMFoy/6ET6DOy93mVbVVJGsmFBgdBJpSSP3vkcris47KSD1tjyY9H8Jdz/n//x07fTAIhmRQgETP6cu4QTzz6ScQfsxK8//cHLT7xFeWk5u+63I/sdtgfBUICrz/lPPYOslkQ8ydTvp9czyjRNrHF0UzyW4ICtj2GL0cO4+dF/07mwU8vejDagsrKSSy+9lF122YV//vOfbS3ORo9vlG0klJVW8tHb31O6soLR2w1l9PZDm12tJRIW4098hmXLKkkllRH12/RiDjtqa8afoaqPLMshPfhc6KCbCDOivmZ3RotmQ1YUggGkoeNE6v6UJJJYTgVSt8CwwUiArvLCkIKUYeNW5yFcQY4eQks6UFWjXHFSQiKGTMZ49eMkwsxCCwQAianZaDrc9uhFq80PaW/svPPOxONxhgxpfk6ej09bs/nWQ7nz6f802p7fpRNSNjZIAMpXVVK+qpJlS5bz+ftf88zHj9JvcJ8mj11XRm0/AjNgpvPXVL8xgRCCspIK7rvxcSZN/JF7nr8pvah0XZfvv/iJWb/OpUffbgzfegjH7nEGNRnJ/LWtPEpXlvHvs27h3Vc+4bvPJpNMppCuZPKkabz8xFtcc/fFzJw+u0nZNE2j36D6z7vrvjvw32seWeNzWZbNLz/+xplHXMLznz3SbhPmc3JyOP300/1K8Q1Ex/nP5tMsP/8wk/NPvhPXcUkmLV566mOGjxzAf/93QZPGywfv/sayZVVYjoEwAyAliWSKl56bzGFHbk1+5yjbje3Ow49MVSfoJkI3EYEQIhBGy8qBcAgZCuBGTWTIQCJxhURLCuxcCylcFbY0455BpnLSpJQQjGPjkrIMarpkEV0R8PqSVUMqqY5xLKrjkHRCgAUIpB7mpgdOZ+S2HcO4+eWXXxg6dCiBQIADDzywrcXx8Vlr5s38kxcefRMrJdC0AK5r0VSbB9dxScTi3H/To9z+5A3rVYbho4Yxdpdt+O6LH0nEUtQaZLUk4kl+/Hoq0yfPYMtthhGrjnPq3y5g4dzFJJMpgqEASOq1ymhIIpbg8/e+qdsgNBLxFAtmL+L5R1/FDJhYTYxqQkB2Xg6X/uN6+g/pw9HjDyUUDjJ2l5F8+dH3a3w2x3ZY/Gcxf0ybzdCt2pf3f+XKlcRiMfr06cOuu+7a1uJsMnScxByfJnEcl8vOvJ94LEnSq0iMx5JM/2kOb730ZaPjkwmLZ5/8AcsNeH3GNISmI4wQQjP5bbpK9u3dO5euRWFqM/yFGVI9ycKqJ42bE8HpHCaRDxVFSSq7pajqliSRk8LRvQRXzQLdRYi6yvn098EkqZxSUhEHO+gpea12HIlEJlVTRy3USTWPRY0mefLBD1rnjVzPrFixgquvvpoXX3yxrUXx8WnEH9Nm8dbz7zP1+2nNzrmcOX0Ox+99Jp+84+VSCQ1NDxAINt3mwXUlU7+ftt5lFUJw+1M3cMF1Z2EEQk16lKyUxStPvQ3AQ7c8ybyZC4jVxHFsSawmSawm3uxzNrgbaAEQBgiDZErywRtfk0xI5aET9XPlDDPCvdc/zsdvfcHDt05g3GaH8rdt/86kid/iOgmkrI04NI+maSxfurKlb8cG47///S/XX3899pqavPmsV3xPWQdn1u8LG893AxLxFO+++g2H/n1cepvrSs477WlWlCYRWv35dUIILFcnt1PdHLjbb9ud8ePfI2Y5oOmg6cqzpmu4uUFiuRZWxCUZSlCTXYU0VHhB2sqOkoa3qhYSgaPmYQKggdQhkCKeU0HZAJP8CoGWVH3JZLIG6Tqqi7+TRBhhpKUqrxbMLV6/b2ArUVhYyOWXX+73IfNpVyTiSc45+hKmT/4NoSnjplffHjzy5j3kNuiIf/d1jzbhXRJk5eRSVe5gWY09RwVF697U2nVdJn/zC4vmLSG/II+iHl3oN7gPhqFjBkwCwSCapuE2kdsF8NVH3wHw3qufqrQMLaM6UADSUa/VoQUQukm6s7V0sZIWUpgI3QBHeeqktNH0UKMKS9dxqayI4Top73QLiUYgGGToiCH8MW1OI4+blbIYNmKzlr5NG4xzzz2XsrKy9VZF69My/He7g6ProtkVoNagQnHK9/OYM3s5iIwScqFndMx3efSBrzj3wnEMHFxE9+7ZPPToQUx4YS6ffVuBiOSqtK9oCEeTpCIOVXkVxHMqcYMJXCOlUtBcgRQOaA66kUSITCUqVOdrTSLRcQJJYnkxwr0jZM10cDUD6ViqVVnVCqQVQylI1b+sV5/C9fn2rXdmzZqFYRj079+fbbfdtq3F8fGpx0O3PM60H6fXW8jNn7WAGy64jdueuL7esb/+NMPTD553yDNqqqtq2P2gXfjs3a9IJuqKcEKREKecf9w6yVVWWsH4gy+gePFyEokkMrM7voBuPYvo3rvrattMVFfV8MUHk6gsq0o3t05fQAikW6fnGnmvhKY8YQ3GMUk00IMI6SJdSy1mJXTt0YXlS8qalEOpY5FxDxfDFJx39XguG38jq0rK088RioQ48Mi9KOxW0NK3qlVJJpNMmjSJ3XbbjcLCQgoL27e+3RjxjbJ2QDyWoKy0isKundY6gX3gkF5k50SIx+pXKIbCAQ4+cud62377dQmJeAotrEIR1A7K9ZSQRGPa75WcftLT3HrfMTz8eoI/ix00LYiWXQDBMIRDuJ2ySWbZJMJxavJX4QbjoFuY0ZWEgpUYRgodBykFjtDQBLhS4LgmKTsEBHAcgTBs5aELpbByc8A0EOEI7qo4bnUpVtmcevIHQyannXdwvW1SSiZP+o33X/sKx3HZ5287MHaXrdokaVZKyf33348QgrvuuqvdJu76bLq8+ey7jTzrlmXz+ftf8eVHk3jgpkdZOHcRXXt2JZFw06PUACQ6IDAMnStuvwhN0/jkrc+U98qVHHnyIex58Lgm7rp65s1cwHnHXsnShctocn0poXjRclYUl2AYOnYTDWsBDEPnklOuw3GoS8zR6rxeyrY0kU5KGWbSM/CEgTBUhEA9q6YiA4CQLkgH6Y2ekq5FMBTioKP259E7nqkvgNDUvZrwxjm2TbeeRTz36UP877/P8/kH3xDNjnDM+EM58Kj207Pwvffe44knnqBfv3707du3rcXZJPGNsjbEStncfvWTvPvql2pGm6FxxiVHcdjxe7X4GpqmcetD53DmcbfiOi6WZWMYOtvvuiX7HrJDvWO7dMkmFDJJpGrQQrlKVWUYDkIIJBqWiHDZfRUQCIOh4QCEVPsLWZCHnQXxPIua/HKkbiGCNRR0nkVQTwKSoJZEz/COWVLHdk0s10QTLvGUhtQErnTRUiGEBN0GImFEIoFVsRB71TyoTSqWLt17duacyw5jzE7D6j3TXdc9zRvPTyThtc34/MMf2X3/sfz7ttM2uFEkhODKK6/EcRzfIPNpl6RSjVMdQI1auuTkf6cboy6YsxRNr5+/VWuw9BnYC4Tgslsv5M85C5k9Yx6GofPC468xZ8Y87nz6PwSCLWssOvHdL7h8/HWoSGhTnxnNczpJHNtB05r/XKkpH3Uj4BAGDYsCpCRtXKk0Clfl06aTXvUGhqhQXjQvDAlK5xYvXpFxZ+EZf7WX0EFoSEdVehqmwbARQyjqobxOF97wTy68oX22ljj44IMZPHiwb5C1Ia1mlAkhegETgCKUH/cRKeXdQojbgAOBFDAXOElKWd5acrRn7rxuAu+99lW9kUH33PQcnbvkMWTL/lRVxug/sPsavWdDt+zHO5Pu4vMPp7CqtJJRY4YwdMt+jY7bdc9h3H37J2C5Kl9LN5u4msDoNhwZCDcyLGRuDnbUIBFV4UUrWonMXkVB7gLCeow+gcX0NIvJoYYoSrmXySxmWP0poYCAZqNrEtsxcKWBcHSEFARiIcKlmtKRjo1WvQBTdzHDQUIhk/ue/Cd9+xc1knTerMW8/tyn9Vb+8ViST975jv87dg82HzFwte/b+mLVqlV88803HHDAAXTp0mWD3NPHZ13YcY/t+OTtzxvlZQUCgbrZl0J5hZpqtiWBuX8s5OjdTmPzEQOY/dtcUimL2k/g5G9+5sGbH2f8xSfx/qsf89OkqfTq35NDjj2wUYjOsmyuOftmkokkQgs2uF19Q0cZZi6hSID8Lnlq+oCawVY39k2I+on4Qmukw2oXnuqr7sUaM47JMMjSx0u8JFkHAWTnRBm8eX8CAZNUymoU8lSXMRB6COla9OjdjdueWL8VqesTKSWvv/46e+65J9nZ2Wy++eZtLdImTWt6ymzgQinlT0KIbGCKEOJj4GPgMimlLYS4BbgM+FcrytEuSSRSvPPy5yQT9ZM+E/EkV1/4CFKqMIGua1x204nsvt/q85OqKuN8+9UsJn35O8898RUHHrYdp5y1D4GAUmyO4/Kf6z8BI4Jmegn5Ujbh0ZFoOUVKCQmBVRDF7paNNHRwJZotSQUdKguW42aXEI2sImJUsWvke7qJUrLcBEFsBGCjE9ZSFAQrWSHz+CGpumYbukXCEmAFEY5G3sIIZg1g29jF8+jdvzf7HzSMgi45BIOC6VPmIF2XfgO71ZP02y9+aTLpN5lI8fXEnzeYUfb+++/zxhtvMGbMGD8Hw6ddc8F1ZzFl0lRqqmIk4gkCwQBmwEh7mpUho3RG0/oBbMuiZFkpn7y9FMeur7+SiRSvTXiLj96YSFlJGfGYuseEe5/jn5efxhcf/sjypSvZfMQgho0YmBGKdJEyw4jyUisa5nd16VrAq988zrLFKzh0+2O9FhnUFS4J0TIvtRZQppiWGWpsuhmBMsw0wEFogs22GMhdVz/s5fI2dy+B6+q4doIVy0q4+V93ccvj17bLsUqLFi3i6aefxjAMDjrooLYWZ5On1YwyKWUxUOx9XyWEmAH0kFJ+lHHYd8BhrSVDe6ayvJomP9CaSTKhch1qPWjXXfQYvfoWMXhY000ZqypjnHTYbVSU1eC6qgT8hQlf8/bbs0mmBJFIgOFb9eT77xbiOGpZKXTTK/2uzYGQSgkHsxChCBJIDuyM0ymEozs4QQupSSzdobxoGan8FeRmL6NbcDE7RSbTRZbT2Y0TdB1CtlpROgKyDIuVeoQ8UcOI4O/8FB9OQFi4roYezyIQDxOs1NSKtbICWV3C4soydtp1KKf//XaqK+O4rouUkp1334pr7jglPWIpEg2hGxoNi8AMUycaDbOhOOaYY9hll118g8yn3VPUo5A3vn+e6867mc/e+wrXdbFSNsFQkFh1DCEMZdRIp1H7h9p2NSCVh6iZTg81VTFiNfF0MnsqmcKyTO6+7om0V2vpwuV8/NbXgIHQg1DPAFSFPU15uSxLHVdZUYmuCcClnjElXWT63AaGXvoZyAhP6untQjT9QOnn9toDffXxjzSd/NboTADiNXG++eQ7vv74W3bee4c1nLPh6d27N/fccw89e/Zsa1F82EB9yoQQfYGRQMNueicD728IGdobnbvkEQo1zLsQiCYMtVTK4qWnPmn2Wu+89j2xmqSqagQQOq7ZmepqB8tyqKiIM+nr+XUGWSALEchGBCIIM6x+NiJoRgiz+zCEADc7hJPrGWQhF8d0qMqtYGWfBaS6zyO7yxx6hBYxJvwL2cQpcKrplEqRYzsEgQAQlpBl2RRYNWQRJ0vEKTDKiFshcExCFQUIV2BU2VBeiTX3F6STIi8vyGVnP8zK5eXEahIk4imSCYuvJk7jzZe+Sj/3bvs27T3UNI09D9xubX4da00qleKRRx6hoqICIYSv0Hw6BLN+m8PZR13EJ299jm3Z2JatjKZkCt1QifxpXAsp1YIobZi4dSugSHakyXvUDifPROjhZuwYgdCCXv5X7abm/y2VlVYAkNspJ6N/Voa3XNZFAXDtuu+p8/xlGn/1DT+vR2JTgkrXq+BU59U/p4nDpfTy1hTxWJwPXmteh7cFH330EVOmTAGgV69efh5sO6HVjTIhRBbwKnCelLIyY/sVqBDns82cN14IMVkIMXnlyvbXWO+vousa51x5LKFwnWEmMrusZuC6kmVLSxttr+W3XxbUC4NqgWxqy8BrSasOoatKI91MKyghNLRoPnpBf0Q0DxDYnSNITWKHHKpyK6nsVEFN55WEe/5Gft4iigIr2Dw0k86U09MuIdd2qK1zynwZQNR1CDoWYVJkaTW40oRkGCMZIWdlBFFeiT3vV2SiGj1ezEGHjmT+nOL6ZfGo3muvPVfXEDevUzb/eeA8wpEg0aww0aywmlN3x+kUdV/3fkktYf78+Xz00Uf89ttvrXofn45Je9RfP3w5hRP2Pp2p309vZHhYlqqErp9I7xlhbsp71emYUCTEPy89iVC46Uay9Vn9vxkhBEJbU9BGJdzbtsuDtz7LmUdfgzBy0M2oSqp3rbpnclV1pTLMUiDt+qFYzYsSeF+F189MHa+Ki2oN0TrjrnbBa3iV62rUk7qfVe94KaWq2HTrDFMhBMEWFj9sCBzH4f333+fDDz9sa1F8GtCq1ZdCJSe8CjwrpXwtY/uJwAHA7rKZJltSykeARwBGjx7dEl9xh+PAw3chv3MOj9/zGsuWlDBoWF+mfDcbK3OVKTQCAZPtdmm+CWn/gd34Kjg9PcdSGGGl5DJLs2vd+roaLC40DS2SjwhGwQhkJMUKNWTcMHAMh3g0jhNwSPb8g6xOC+kWWsao0HT6uUvJd+NEbJuArPtDamhSCsCUEHEtInoSDUnYiJMAAjGD8HIHEglE5QJE1TKOPG4M4/YaypP3Nb1qa1jOv8O4kXz408P88PV0HEey7Y7DiWa1fuhys80249FHH6VTp/Y7SNin7WiP+uumi24nEW9+1JCmCS65+Tz+c8nd9RZEtV4yTdOJZkVIpVKM2Xkks3+bTY8+3Zj7x/w13Fk2m3lVixACzdBwbFnXWiKjnUUtjiv43z2voBq4CtAj6EJHCIl0koA3FUTaIAVSq63ArH3IQPp+ddLhhVAd1bTaSSHS3rq690EVB9TmmEmV91ZbIe6mMlpiuEjpIjQj7S0LhoMc/Pf91/AubDh0XeeGG27ANJsq9vJpS1qz+lIAjwMzpJR3ZmzfB7gE2EVKGWvu/E2FHcaNZIdxI9M/P3Dby7z45CckEk66VNuWgrdfm8Iue42iZ+/G1X0HH7E9zz0xkVTSwew0AD1SV+XkJiu9ZqyuUhauMtT0nCLPONPTSf0AIhqBSBgzBbGgSyqcxCqcR7TTIoZl/8Eu2hS6OxXkJV0iNuhSrYMdIG6oRv3p3okeAghKB026VDsRHFfHrM4if3E2emk5Rqqc8y4YzU67bUY4HEBKSU5ulES8vgEWCBrssd/oRs8fCgfZec/G29c3Ukqeeuophg0bxrbbbusbZD4dhnhNnEULlqz2mGh2lEOO3Y+bL7kTN6MBqpQ2SBfHFVx6y6Xcd8ODfPf5d8Rr4s22qNANVcVomqqK07LFGtOwHFcDTVMGURMVjXV4uqrWOBImUtoIPYRrZ+oM6S1MPQNLNC4eSP8sNC//TPc8XE1PDcg8p1GT2Iyh7eoeOsGwjuu6HH/m0YwY0/bTPX777Te+/PJLxo8fTzQabWtxfJqgNcOXOwDHAeOEEFO9137AfUA28LG37aFWlKHD8c+LDuPMS45AD0S81ZpSIAsXrOCsE+7DdRsri85dcnjo2XMp6LcleqSzmmfpvbRgrpdDFkEEouAkEHpAGWSBMESyoagIOXgA7habYXXLxcoN4oQMZK3u6rKIoVkz2UX/iUHJcvpVuPQpEfRZrtNruU5RqU4kATkpCFlgZDTMrk0NdjSNFAYrnM7E7ChZxT0xqlyE41D92+fcduOHlJZUA0qhXXvHyYTCqjIMIBwJ0r1nAcf+o+U93NY3yWSSadOmMX369DaTwcdnXTCDJuZqWuuEwkHOv/ZMNE0jJy+KdFNIN4n0QoEKycdvfsLKZSXEa9RsWtdt2tIyDIP7XryN3Q/chc1HDmthU2zv35GmN96uBepeGflntQYVeLn3mqletUUKQvfWm7LpykyhgR5WObVmFM2MKv3YLC13ekazI1x049m8/v1z/PPSU1p8XmsyY8YMfvnlF2KxTd4f0m5pzerLr2m6Xvi91rrnxoAQguLiSjRdw7HrDDDpSqoqY/z8wxxGjR3c6LxuPQtJka1GGgkNYYZBNxCuA0kNaVUjkQgzgnQTiHC2ClsWFSCzI6RyddUnzLueK12EBMwa+kXnsbk+m0GJMvqWQkG5gW4JtNoUDg0CKUEs5FKR46K5gAm2pxeTAqqFySKnkEonG9sKo7smUkhEVRVGXl+sslm8+MwPXHjZPgCM3HYwL314HW+/8g3FS0oZNXYzdt93FIFg27jbpZSEQiFuuukmgsFgm8jg47OuGIbBQUfvx1vPv19vNBJA1x5FXH7HRey0pyqO2Wmv7Xnz2XebvM6kT7+vn17RAE3TCARNjj/raC4+6d/Ylk0i4aIZIZpvH6GoM5gyKyYFaEbj0UcYdR35QRlrbqpB01edtEZzHWXzNeiFJvQQDZvFamYU17FQ/n/vnul8tbp7GoaOAKxmGvIe98/D+b8TDm5y34amNqfusMMO44ADDiAUakkuoE9b0P6apviwcll5PYMsk9KSqia3V1Qk0XWhhoaH88AIqrwyPYAW6YQwgumE2sOOGoEwAmCakBXBylYGWU1OnBV9S1kyaCkLt/qTZQPmow2YzKDAfEbaCymqhoJVOsG4IJgQmEn1CiQgXCOIJDVCcUHQBs2rIHeBhKZRIcL87gwg6YSQVfkEYkHEsjLcipWgabh6hHlz6idEF3brxClnH8CVN5/Avn8b22YG2cSJE7nrrruwbZtQKLSasIqPT/vlwhvOZqe9tiMQDJCVEyUQDHDkKYfy7tSX2WnP7aiqqGLy1z8xdMvNmvdsraajvqZr9N+sL4++eS9ffPAN1ZU13kDzjNCl0Bt4vWotpaYqGrX6DWRrL1HrHfOuIWpzzzJaeNRVWdaOTVI5tvVSmBsYZOlrIxBmBDSzfuK+k0rLFgwFuOiG09h+99GN3itd1xiy5SBOOPvIZt+rDcnKlSu57LLLWLp0KYBvkLVz/DFL7ZCxOw3lmy9+a5RTlYinePrRj3njxW849Ogd2X3fkQghKFlRwfIlK9A0ocKUjZQMaOF8nKpl6Iag2s0GLQ5ZUaQAaUBFQRVVXapwNQfHsJC6hV40j606/cBO7nSirktRqUYwLjCcBjkZUoAtCSQEUUPDMRxMB5I6VABVepg/RVdSbojKmkJyinsSKTXQbAfHSgECwzAZtkX31n5r14nS0lLKysqaHfzu49MRCIaC3PbEDawoLmHpomL6DuxNXn4uAA/f+j+euPsZzICJlbJwmpgvGY6E2Wnv7fji/W8aedsAXMdl0YIlPHXfc8ybuQCJhmZGqDW4VCf9TCNIRwSyUaOU1MgjN1UGaN6sSaPZBVBDz5nQA0inNocsfZTqx5hufZE55Nxs9vpCqCID6SRVsr6TUnlm0kVKVRAxbr+xHH7iARx+4gEsX7qSGb/M4tefZ1JdUc3YXUex455jMYyGYdi2oaqqilWrVpFINF/k4dN+8I2ydsieB4ziuScmsmRRSV1FpVDKYs5Mtdr5dep8vp44HdtO8eXHUzGDJraej9ltbNMX1QwQBpGIzrxFSQgEwTBAEyTDFlWFlUghkcKhS6dZbN39A7YIz6STU0NhzGHoUp1oTKB7BlnDda3mCkxLIiQEbIHmSizAMk0WiAJKnTwWVPbHKO5J0dyuBKocpJ1KX8l1UlSXl7NkUSk9erVuO4uW4roumqZx+OGHc+ihh6Lr7UPJ+vj8FQq7FdQbefTJW5/z1L3PkUyk0tXNyqsu0DQNx3YIR8Nsvd1WXHvv5Vx4/BX89N0vpJKpRhM1knGLz96bpIwXI1rf6NEM5b0Xqh+a0INpo6kWPVykKha9QeBNDfduSG3Cv9AMpFfQJIyM3mdC9X9U/fe9Xo3GGjzeotbQ87xjGbK4DvUqTou6d6Goexd23bd9NYat1V/9+/fnwQcf9PVXB8E3ytohwaDJYy9eyMvPfMEn7/1EKmWzbMkqUqm6fAbLcvjw7clowsFxHG/fEoyilCrvboTKKaiutlkwtwTye0AkTDIiqSxUDRk1zWKLoS+wc/Yk+iUqGL7AossKQSCuoSclmuuVWmoCJwAYKvpduwYVrgpbCgSWJqkwTWr0AJVEmVEzmFRVEYMnb45uC0R5DSQT4Kh/AqmqZbz7+lI+fGcKtz9wMltvu2FGJDXHzJkzufvuu7niiivo0aOHr9B8NkoWzF7Ivdc/5IUZ65BSYhomfzv2AGzbZrf9dmKHPcaiaRr3v3wHM36ZybnH/IuVy0rS5whhelWMIm14qa+aMoIy9VLtfE28HmWZLSiEDm5S1RcI3Wtv0YJqSDQVjjQiyhDTzHQPMnCUNYVc47Xq8AoIHKuRcditZ+NZvO2JZDLJNddcw0477cR+++3n668OhG+UtVMi0SAnnLYXJ5y2F9dd+jQL569odIwEnAbVT6mVMwgWDk/PjgNUV+6UqpYiEMFxLPSACUjiBS6pcAo3kGDo0BfYJfwt264qZfNZkuz5KeyFldjFcSzbRTd0tCwDvXc2RrcITo6BNLV68miu+ho3oVIPUEwnltqFlFT3IbiiB5ol0CviUFaKW1mCm4rjVBeDa2G7YNsON17xIq98dHmb5m4FAgGysrIIhzfcuCYfnw2FZdlcduo1fP3xt6SSTSeqmwGDI/9xCAOG9K+3vXjxct5/ZSKu1NF0E9d1Eel2E1q6+lEzwmmPU10IkXT/sbTXTOiqNY+H0CTSMUBWAxKJAazZMMNL0hd6MJ3kn07glwKh68rzJdbi315tuyBZP/x59KmHADBp4o88fOtTLP6zmEHD+nPm5SezxaihLb9+KyGEICsri5ycnLYWxWct8Y2yDkCXwjw0TTRdft5gk11ZjB4pRM/u5u0USMdGyy1EyxqqwpaaUjRuQJCMxHHNBJ0HTmR05Be2WVXCln9ohKZUUPXjCtxERu8dQ2DWGDgVKfSYhT4gDzu/bnKAqyndZWkuCUNQLDqxSubwU9k22FaEnJooeo2Nu2ghrFqJTMWxyxdgly+o9wwlJVWsXF5BYde89fo+toRkMkkwGKRfv37ccsstflK/z0bJU/c+xzeffNtkblgtuqHTe0DvetvmzJjPyfufSzKZ8kYp6V77nTqDSwihpoY0aZBlNG+tNcaE7rX/8cYhgSpE0vKQdg3Ctb09bv2KywykVA1gNTMrw+tWh0AiHUt555q5RhNXrevKX6/gQDLp8yn8PnUWD936ZDrk++NXP3P6oRdx/0u3MGLM8BbeY/3iui62bRMIBLj88rZd2PqsG75R1gokEik+f/8Hli0tYdhWAxi9/eZo2roXuh50+HY8979P6xlldUnnmUZTGC2Yi12xBDdZjRbqhBASs8dwCEUQ0WylsEIBMEyEA3bAxi5YwmbRmRTYNQxcKgj+XE7NDytYuTDGyuUpbEfZcXl5OvkFQSKdTQJzKjFzgojsLNyAwNEljgkpUxIPQlJoOMJgsV1E0okgq/LIKolCeRly8WzcVA2plX8g7epGz2vbTr3xUxuK8vJyLrnkEg455BD23XdfX6H5bLS88uQbJOLNG2ShcIjLbruwUW+zmy+9h5rq+j2u0p+TtAdK88KTXu5Yer/uHZ9RVakFEQ10o5CSWr0mzCiuFUPgebkwvH21n00JwlD1m0aEepNJlO8ehFAd9nWhuv4Lk9oFa1PUza2UYNc0ek4pYcL9r3o93DIF10jELf57zcM8+f69TV63urKaUCTUap30H374YRYvXsy1116LYfj/3jsi/m9tPfPn3KWcetg1pJIWyUSKQDDAgM168cALVzYxgLxl9OhVwAVXHsat17yY0RW7buCu0NSgXD1UoFaYCGSqGtd1MAr6qzYZkWwIBJBZEaSpYQccKnqmcIUkkruEbnoJ260sJX+mTXJqKYtmVrKyxKUyAbZU6mtVtUNVZYz8cpPCvqAvroZ+UVxdYgchGXRJBCSVQVik5bLYLmBhvA92KkTusm5Ev5mFM2uW0mrSRWgaUuiN8jWCQYOc3KaHHbcm0WiUoUOHMmDAgA1+bx+fDUFleSUfvj6RilUVTe4XAnbdd2dOPu9Yho8aVm9fvCbOz9820zhZ6HUGUYYRVn9ho6UrG5U3LZRhRNWhVJyeDjdqZgTXjiM00zOWdC/06RlbKINM6IEG+WmAlEjpIGpDn66LlBa4NlJr3Ew2bZBJBzfV2CCr/V4tik3ASodg1U74deo8FsxZTN+BPdPnPPPgy9x7w+PpQe2DNh/AY2/eSVbO+u2qP3ToULKzs32DrAPj/+bWM1eecy8VZdVpT1Y8lmD27wuY8OBbjD//sHW+7iFH7UjpijKeevhDHEcZMWbI4KDDd6SyooZvvi0lZRvKpQVI10Y6CUB6oQANNz8bN6RRnZ+iuktczbbMW0m2GSfLqaGgQiLmVVGxuJqVJS6lcXBdcDxD0JawpBwM3SKwLE6wcxhhqCaxiZBLTdilIiJZGTJYohWwJNWdldU9EFV55Hw2B23m4roH8gyzpmavjB47aJ3fp3UhkUh4A4ODnH/++Rv03j4+G4pffvyVMw67ANdxmvWS9RvclzufvqnJfe++8knzF0/nhYmM3K+Gniip5u/W7ksbbZmGlItAGS5SynQFpNBMz9vlDQIXBkI30by8NM2o7TmmZJC1w9S9GZiAuo4RANtGCqEGiTfogyadpDdg3AW8RtxNjFyqnYMJehPGJ1xwwnW8+vXDCCH46M3Puevqh+vtn/3bXI7c9VTe/em55t/TtaCiooLc3Fx23XXX9XI9n7bDN8rWI6tKKpg3a3GjflbJpMW7r3yxWqPMdSWuKzGM+q58KSWffTCZlyd8SnVVjEOO2I5QNEwgYDJu31H0H9Sdb76cwxeT3vU89XW5HdJ1cJNVat5lOIgM6cTyUqzqXY6rObjZJWhd59A9uIShzjKyyiC1uIaKUovyOFgOpDKdWA7oAlZUQCDgUGi7SMvByRJURV2qQpKKICzTcogTJuZGsNwQoao8Ir/PyHgm11uFapgBo15H7GDQ4NSz9lnn38HaIqXkpptuwrZtbrzxRj9k6bNR4rouF594JbHqpsfrmAE1humaey5r9ho/fPlT0zv0sPJQQUbLiyaQDul/ObpnDIn6A8IlqnWP6s7verMt9XotKmoT+YVuIrQQQjdUoYEQKjQqNBW89HqMCemq2ZiaoRaraf3sDRKv/UnW/1kZmHXd8BuiDLPGBhnAiuISFsxeRL/Bvbn7mkeafDuWLV7B7N/nMWhY/yb3t5TPPvuMhx56iFtuuYW+ffv+pWv5tD2+UbYeWV1z0eZ2xWpS3H3Hp3zy4R/YtsOwzbtx0WV7MWCQGjx+z39e5LVnP0uvbP+cV0y3nl146q1r0uHQ11+dphJdvZCACGSDADdVg1O+BLoOxQ0rJVjevRInUoHe92fyg6vIN1cyMvAH0WSKYFxQuaCSRFKSamiQeTgSKhOQTLqIgIZZ5VJdKKkISqqiUGZqlIpsZib7U2Vn4yaj5M3rjNl1CPacyYBEWjGkHUcL5ZAdySJWWUIykaLvgCIuuvJQBg3ZcE1khRDstddepFIp3yDz2WiZ/ftcqqtqmtyXnZvFEaccyuEn/o2iHoWACnM+dscEPn5zIoFQkMNOPJii7oUYho6dbiyrIUwVflNhSyMjhNlUDm1tc1cTr7eOd65X4Sj0Ot+aZqjj7Zh3WNAzmDw/m6aj6SHlOavNVdNNzyCrHbwrEFpYtbRwQGoq5aPWmMpMm5C1nvuG8q5hMHlzaJqW1tmrSsqaPe7Xn2b8ZaNsiy22YNy4cfTs2XPNB/u0e3yjbD3SuUsefQd0Z84fC+sZYYGgyX6H7tjo+OrqFP846WWWL0/gigiSGL/9WsyZ45/nmZdOxnUsXnn6U1JJK31OMmGxbEkJ778+iUOO3hWAZcXVoOlo4XxEKBthRtACYVwhMJIl/PucHlwzWaO4TxnxwmKM7r8zKHsmfY3FdNdKyJExOsXBTAqchEtVTOKsRhclXdR+XSBcKMlzqApDSdCgVIQodjtTanemOplN3qyhBOMGWlauygGxEshaxSihotImL7cz19+xLzvsMqz5m65npJQsW7aMbt26seOOjX83Pj4bE6srNOozoDdnXTE+/XMinuTYPU5l2ZIVWCmle+6/8VH6DOqPFIZnF0mVWE9dJWV6+LdmeuFGz6gRugo3ahq1+WDC61OWbh5b6+VCplewUoIwonWGmQiBsNTxmq7uowe8prRe6DSNRNRWTuqmMrhckCIJ6ICtig1cK+MUx7uvV3Xp7VvTYq0pT5phGgzaXBlbRT0KWTRvSZPnjtpuq9Vee3UsXbqUbt26UVBQwGmnnbbO1/FpX/izL9cz199zNtm5UcIR1SgxEg3Rf3BPTjij/mDasrI4xx33BstX2qAHVOVkuDNoAayUwxuvTmX6T3MwzcahgEQ8xbefTwOUQnC1ECKYhxbtjJZdhN65JyKvCD2/G+7Q7bn0504sHlhFVbdiKJzPwKxZjA38wtbaHPq7JQyrLqPHKg1tSRVokLRU/tjqsB1wbQdsl2QIqgNQJkLE9Aiu0KhOZSNX9UHHILrYUYn9ZgRhhNCCOYhAlrqQEJSVJbnygmeY8Oinf/0X0EJefvllzjnnHJYtW7bB7unj01YMHNqfnNysRttDkRB/O3b/ets+fO0TSpaXpg0yAMs2mTtzCa6rWk8II4pAQzMiCDMHYWajmRGEmY3QQ8rw0kyEmaWONYKgqc++FshRx+iBtGFW6+VSszGN+kPItaBqAisM77wgmhFBM2uvYaTbctSbeZnRqxGttvLTRJjhtBGnZlu6ngEm6zxm0vHyyppHHWvXnedtk1Jy7T0XpMcs/evms5s8f8DQfvQesG7ercWLF3P22Wfz1ltvrdP5Pu0X31O2nuk/uCdvTbqPT975luXFpQzdoj/b7ToCXa9v/06YMI3KymTazZ+eURnMwYqXMGfWCkZtvbm3aBTokUK0QBauHYNECV26dmJVaQ133Po5y5YnEEYYEcpBi+YidAOZFYGCziRzoaJbjFQ0hpVTzuCsOWwZmEUPuYru1TGKYpBXrVG4QCIWxzDMumLy1WE7YFVYBIXE1SAlBDEtRClZVDq5JO0oweU9CZSDngRn+aKM5xRghMGKg606iSeTNv978GP+dsR2G6Tyco899sA0TYqK2ndnbh+f9YEQgjueuonTDz0Px3VIeZXh2+y0NQf/vb5RNmXS1Hod/jUj6ukpzatyDKVHJqn8LpGRn1EbohTefhM0E00Pg26iGSE0I6DSuZBomqGS8h2rngzSsdU9XBs0Hek4XpK/amVRZ8Q1rt6sfV4pybiGAZoN0lStLLQguLF0JWXaAJN1vdCEN8S8Iek0ldpJA1IVBEipPH2GobHjHtukj99u19Hc/Oi/ufGiu6iqqEZogu3HbcsdT13b8l9gA3r06MHRRx/tJ/ZvhPhGWSsQiYY46MjdVnvMpElq1dkIT9EsmLeM4SMPIrtTLm5u//SKUDUzHMRWY0dwwpGPUZ2KgJmFnlMIugG6jszLhsLOSCQVveI4AQs7XEVAVLJ1dBo9KGXIqhiF1YK8Mo3cpQ7a0jiJFQkqSh1iXmGW69Z1BNIyKt0VUrXikAIXQRKdMpFFpYyyIN4bUd4FzQqTs0RHVq/CLV+RHqmUflTd9JShWp2aZoAZvy5izA6brfN7vyZmzJjBkCFDyM/P55BDDmm1+/j4tDc233ooH0x/nU/e+ozSlavYevsRbLXN8HpGzbef/8T3X/+OHsjGdSyklGhmjufpqvVsBdMtKYC6qkfpgpCqsEhKhBFUnqlAVFVH6qZaPHoVkrrmdd13HTBcpJ1ExRi9MKLrqFiOY3kGWR3KM7b6QE/aMBOauqZmgOt4fdJQxVDSVoouwxhLn4vWpFEGNCgIwMtHcxFCcPAxjXsc7nnwLux58C6rlbclLF26lGg0Sm5uLocdtu7V/D7tlxYZZUKIT6WUu69pm0/LiUSabx4oXYcVS1fw2Ue/svVue/PFl4uU694MqYJyJ8Ejj/1GdQyI5KLnFlHbFVtmZeF264wMaNimS7xgGTU95tM1ayE75n1FJ1lN93g5BXFBbrlObrGLtixBzffLKZ1bybxFFmUJSHmLwVqjTEgwBOiaqsA0dTDzAmi6hqtJVmk51MgwZU4OpYmuaKu6YcYNmDMXe/ESZZC5mZ20JdJOqfCrpRKQXcclr9P67duTyR9//MEll1zC2WefzV577dVq9/HZuOnI+jCaHWnkGavlkduf5ZE7vBYNwkQYIXQjqBaEuhrwrZkRZZgJHSl0NDPsGUeex8lJgJMEVFd/zVSVmcLMUmFKIwhGsM7DJV2ViO96uWdO0nM81baxcOt7rPSAl4emDLo1DSxPG1fUHicQehhp16S9f1I6jbr8q9Bk43yxdJ4cKm+soDCfZUvUCDxd1xm53Racf+3pLfpdrC2O43DdddfRqVMnbrrpJr8waSNltUaZECIERIACIUQn6jIpc4AerSzbRs2hh27GAw9MJpGoXwEknSRuqoKkdPnovV+YuTCoQgbhXOq6UGexqqYGsrqjBbzhu3kF0LkQu3eesp6EoKZoFfFecxlV+A299CVs7i6kh1NDz0pJuFpTBtn8auK/l7J0WjlLVzoUV8OqBCSlWghrQECDUG0lu4QsE6IRQaBPFjKkYyNZKjpR5Yb5M9EHK5lN0DEJrXSRf/yMNMNN9s52EmVIqwakjaYJCrvlMXho6/1ZbbbZZpx99tm+y99nndiY9eGKZaU8cudzanFnhMHrJya8OZZCD6MFsrzcLg0tmO3ljRmoRH21mJSWBmZYhRuNEFogovSXpiECUahdWGYaFHpQLdo0HWwNXBNpxRG6Z7S5EvSQ8o7pDRtw6+kcsDUiUQ2r3Vo96r0aer3Sx9f1S6vDTS8udV3n3Z+fY8GcRcyftZC+A3vSb3Cflrzd64Su65xzzjmEQiHfINuIWZOn7DTgPKA7MIU6JVQJ3Nd6Ym387L//IGbNWsUHH8zBtmwkAumksCsXpkuzA0GvxDycmzE6xCMQRSZrvP3ZaPmF2IXZaYPMNi3KB8xmuy6fsbUxg55uKV1SKbJjkFulUbBcw1geIzW/giU/lTJ7scOyalgaB6/mCKQXPUCCrQwzFwgHIBQWiJBBLFvNvKzWwixIdmd5ojuyuhPB6gi5v1Rh64Ya+RSIAhLT1DEMjb13K+KtF35FC+g4tqBH7wJuf+CUVlE2M2bMoGvXrnTq1Mn3kPn8FTY6fSil5L/XPsYLj7+tjJa050shzCw0M4JmZnsJ/sprVtsPTDOjYJie0yqFNMKq+aqVQKQNMh0CWQgzqL7XdM8ok56HzPXm8epITUPYqvWFMswCnkdLIMzaCQCaMuQ0QxltVgKceANPfN3z4dYabHWjlYQRVMn8uPVaYdTlizmkM2tdB6X56mfaRrPDAPQd2Iu+A3v91V9Fs9TU1DB79mxGjBjBsGEbrkLdp21YrVEmpbwbuFsIcbaUsvEwL59msS2HLz+ZyszfF9KrTyG77zc6XZEJoGmCCy8cy9FHD+Okox6lpqrG68CvCIVNDvjbKGY+vIhYlaxTZF7+gwD0Tt0RgQha50Jkdhg3pJJmlw6eT6zXn+zQ8z120X+id7Ka7pWSTpU6+as0dBeMSgt7SQ3Vi2tYUuywogaWx8FK/59RStMF4q5AQ2KqfFYMXRAwNbAl5V0gbmisdPKYUzWUVFlP8ub3p9NcA01q6FlF4Nq4NSVIJ0X3Hvk8+PBBhMMGp5+5I7NmLCE7J0zfAa2TcJ9KpfjPf/7D4MGDufLKK1vlHj6bBhujPnz5yXd55an3cWxX9RlDU1810/OMmWhmjufxCinPmReGFEYIYYa9nC3VgkL1IEypBHs9qAwx7zihK4MsY2CRyofQpFrZAdgSqddZu9KOqTywgBc2DdSmN2gq0dV1VW6qHUbGS8jsK1bXe0wZU7WhTGV06kg0pHSRiHRxgpo0Ur/ooCmDDKCqopqX//c6Bx2zH8FQsNH+9cUzzzzDRx99xGOPPUanTp1a7T4+7YMW5ZRJKe8VQmwP9M08R0o5oZXk6tBUVtTwj8NvYeXycuKxJOFIkHtvfY3HXv4XvfoU1js2J0vn+psP4MoLX0DKAI6rSqoP+r9tSIocKqpcRKCuH5DUVB8fEc0DBCIYhOwoGGpQ78Lh87B6zWWzzj8z0viDfskq+pUIOq/UyFnhoFck0BIgUzbJZTUsn1vNsiqVQ5aggTcuY+hvytN1EW/KSTjbRBMa0hSUmyZldidSJf2JLutFzhKT8OIksqLUk9lAhPMgXsaSRaUkExbhsEEwZLLFyL6t+JuAQCDAlVdeSUFBQavex2fTYWPRhyUryvjvdU+RSknV88uIqJCkEVYGkGai6RG0YJYKV+ohz/ulqi81s9ZbJVVFo2sgjABuKgapmDLI9IDnIfMGlDdVKQnIWmOttrUE1HnsNEPJZgSUcWd4Hje8YgDHwiUG4TzcWGndhdMernp38ha33pJTqrw0WZsH10A+IQSaoeHY9cOjUkpSiQR3XnU/bz73Hk+89wBmoHWGjB9//PGMHTvWN8g2EVqa6P80MACYSl3GpAQ6lBLaUDx0xxsULy7BstRbFY8lSSRS3PCvp3j4hYsBWDhvKVefdw9/TJsLwJAtB7LP4fsSCAbZZuxAevbuzImnfQFmCKhrmSGEgFAWtQpE5HWGgCoxr8mrIV60lLyslWwTmk4/q5TCSui+RCc6L46M21BhYSct7MoETtyhqtIl7kB506Pw0tgoJ13IgJwohPMDyIhOdUhSqkeIJaNoNXnkzwmSPTuJTMaQFSXp84VmQDAHzSolnrDII7x+3/QGLF++nPnz5zN27FgGDx7cqvfy2bTYWPThecffiGU56W78tS0uhBZQo4v0IFooT73MiOozGIyAEVDGlmHWtfSRrmpjYafQNB2pe7lm6dYZtf9q6jd4VZtEug2PaqGhq7Y+tpdnloopgywQQQtGqZuz6YU/dQNNaLhCIIwErlWFaDLHLLOXmIO04p4x5rXZaCZ14j+P/purzvgPqaSF67oZPclsEnGbeTPn89EbE9n/iL3/0u8jE9d1+eCDD9hrr70Ih8NstdW6N5n16Vi0tCXGaGCYXN0cIZ80n7w/JW2Q1SJdya+/zCMeSyIEnPK3y6koq0p/wH+fOpuli5Zz77NX8dL/3mT50hKWLBsOgez6yiKzsaIQoOu1ebaUFa6CQILuwSV0ppKilEW/+YLo7BrcxdU4q5KkypO4KRX+jFUksV1VZZRwG3rJmkCAoUNRF5Ng5xCp3iHmdREsojNllb3ILulMdIWBWzwbWV1e/1wpQWhk5wTp2jX7r77Fa+TZZ59lypQpbLnllkQird/3zGeTosPrw3mzFvHnXK/LvFA6Rc2XDHozJQ00MwsRzEYLZEEgihbOAd1ABMLKcEp7vry0Ct1Jp1lIoSNcB2EGVUd94YUbpWdI1ZIZXtQz/h3JAOgBsBPpMUzCDKvqywyPm+rEYYJjI/QAWjBLVVY2HKGUEX6UbgrpWoCrvncSrK6P+oJZfzLhw/u5/cr7mPz1VGzbrnf9eCzBFx98vV6NsqlTp/Lggw+Sk5PjTxzZxGipUfYr0BUobkVZNho0rXnjRgjBJ+98QzKRqlfV47qS6soYJ+5/Ca6UOLZD9haD0RoWG2XmZDT4nxDvuYTcUCldzFKGxUvIq4GcBSncP6uI/1lFzYo4brJutZiM26rCUlA3L64ZwywIRDQoyhNE84MEBuRSUqQR0wWL3QLc+aMI1wTRyitxGxpkANJB4HLZFbttkMqhM844g2XLlvkGmU9r0OH1YVlJRbrjPEJTcySNkOclU9/r2d3QAlGEGUWL5oIRVG15zIA35kggvHQLdInAROo6AoEmvPwx05tNKQTCdZHpjAhHzWpz7XSPr/Tg8dqEfE1H6DpSM5HSUff2DLL6C1UNQtle0r+OMCK4yQrShph0VZgTlGdMOripaq8wQKivQm80XLw2J+3RO57muDMP54SzjmT6j9OwGyy4NV0jv2D9hha33nprbr/9djbbrPV6Nvq0T1o6ZqkA+F0I8aEQ4q3a1+pOEEL0EkJ8JoT4XQjxmxDiXG97vhDiYyHEbO/rRhco3/vAbQkE6tu7uq4xctvBhMIBihetqOuYrZmgBUAzSVlg2a7KX9AMpUhcp0FJttd9WkowDGTQxAkKqopsnHCCHll/MkKfSdeYQ7+ZIIrjxBZUUr04jh13sVIuqYRDosbBSgl04bW80OquXx/1c9SErjlQ0Nkk0juKMyDK/G4Oy7VcfosNw6jKJ2uxwFk0Oz1qpPal+hbBWacPZ9To1huam0gkePbZZ7Esi1AoRN++fVvtXj6bNGutD9sbmw3vRyJhqxFGegRhRtU4JDOKFszByO6h8siCUbRoJzCCaJEcRDiKCAQRAZUrRjCECIZUuFPTEYaJCEUQ4SxENAcRykJEsxFZuZCd522LeLlpqmgAzVC9y3QTzACEohCKqnMDEYQZQjOCarnY0CBDLXSFpilDUfdCpUJTxpZre3rUVtWhbgrXioO0cZ1kXUNrqUbB1dNbqDFKVsrmnmsfY/SOIwlFQo3eSzNg8n8nHtxo+7rw3nvvsWiRmn7iG2SbJi31lF2zDte2gQullD8JIbKBKUKIj4ETgU+llDcLIS4FLgX+tQ7Xb7eMP+9gpk6ew8L5y7FSNoGgQVZ2hH/ffAIAg4f3IxINEYt740gyV2cYIC3M3H4qgTUZQwtleYmvAhzbCwcIZPfuWIUhavLjLBu0lMKsBWwR/IMusopoEqKLUzirkiRKEiTjDlbKpbraJunpIV1X9zY1SbYJiaTEbmLIUp4m6ZMFQ/vp5PaJENyyMzO20FmUbfKTNZhEVTc6lWQRnL9C1SnZCS/XxBsuLCXbjOrCIQcPatX3fcqUKbz88suMGDGCzTffvFXv5bNJc01bC7CuxGMJPn37S9575XMcV6hcMT3kVVlG0MwoWriT2m6E0EK5KpwZyYFAUHm+jMwwY21el65CiLZqIivMIBgmwjSVJwtUyNFxwHWRVgp0DZFKqZYWeG0qvKkkqqLTBTMIRgiZijVZJJCJmiCgI1HDzSW1LTFsVWXpWkgnibSqce04uEmkE894FhvlyqvVgXV68JWn3uK0S47n4df/y1lHXkxlWSWapuE4DpffcRGDhg34y7+bmpoaXnjhBRYsWMAZZ5zxl6/n0zFpafXlF2t7YSllMZ57X0pZJYSYgWqweDCwq3fYU8DnbGRGWTQrxBOvXcaPk/5g9oxFdO/VhZ3GbYnpec923H0UBUX5LPqzhCbDhUJHD3dWSa92HDdmo4WzVRUjLthJZDCCmxMmkZ2ieLNFGHlLGJrzO71YSY94jOxyDUqT2OUJEpUOFeUW5VUSNUNcomsCTUiCBuSGIemCI6HKVpWWAggKCBrQLxsG99LJKQyRtVtPvj40SE0AftZ68WPlSDpP3B894SXrWiosK7yqp9oQQI/Cxo+5vtlhhx3o378/3bp1a/2b+WyyrIs+bA8snLeYk/c/l6qqBI4MoJnZ1A4AF2ZUJfaHO6kwZjBL5ZAZJiKSBcGwqvTWvZAi1FVLOg6yNk9MStX6IhCEWoPM0FXrC9cz4CxbHWObqkVF7XUCIeXxMgxlnIFqQmvaiICJTMYQTc6m89A0r9+Z5nW3yDTIbFyrWhlkqUplnNlxmo4MNE4VtFI2+251FHc8dS3vTX2F33/+g1hNnOGjhhFuwnu2LkSjUe644w6/ynITp0XhSyHEWCHEj0KIaiFESgjhCCEqW3oTIURfYCTwPVDkGWwAy4CNciK0pmmM2XEYu+y1NbYj+G36wnQYUtd1LrjmFEyzsU1cm8DvJCu8OZcAEpmoAkcZPNK2kIaGFXFZ0X8FomAhg7tOYoi+gAGpEgYtlxQUC5ziGuxKm7JVFiXlLjUpSdKROBJSjiTlSGIWRIKCTmHoHIICEwqCkB+A/CBs0QWG9NbpNiRK5337sGRMiIqQxrRAVz6N74g5eR80S8NYXg0I3IplSCuhunu7LtKKIRIlRMKtM2ZVSsn//vc/FixYAOAbZD6tzl/Vh23Fv8+4mbLSCmxbevMfVWWkZgSVh6y2ytIIo4WzIRBGi+RCJBsRCqkq71AQGQ5CWH2VwQAyGKgzpgwTwhEIqmMJByFgKu9XwICgCeEQRCMQDCLCEQhFIBj2Qpdh9QoG1f6MY0Q4W4U5m6PW6ANqF7u1Bpm0q5F2HNeqwbViqv9ZE8bX6mqd4rEEF55wNbGaOJtvPZRtdtp6vRhkU6ZM4c033wSgS5cuGEbr6EqfjkFLf/v3AUcBL6Mqj44HWtRnQAiRBbwKnCelrGyQSCmFEE1WMAkhxgPjAXr37t1CMdsPjuNy/WXP8/kn0zEMHSmhoDCH+544nS6FuWw5arAKC8gg0rUxIkVoQTVKSaYqEHall8ifUTWUrAHhhQYDBuW9Yli5q8jPXsiOwZ8YZC9n0EpJwUoDbUElydIkq4rjVFS7JOz6KkjgdfBxJa4r6BQRRExJPKS2Bw3IiwrycjWKhuQQGdOV8q0jzOgj+F0v5NXKfVm2eBu6VeShl8TQS2IqJCHVYGFpxcFrhmsEdXbfY2CrvM9lZWV88cUX5OTk+DlkPhuKNerD9qa/qiqqmfHL7HQLC6lmiKgh43oEzQyjBXM8D1mu8pyFohCOKA9ZMAABE2l4lY+1UT5HImxNdeJPJJGmqYywYAB0HWmqysn08t+R4EqE7V1HU54yaVsqN81UxQJodVWdwnU8L5ieHnaezgWjfhd+6Vh1XjtAukmkaylDzLVV1WUzI5mCoQCHHLcfrz/9PslE0z2CXFfy5Qffsu9h62/M6ZdffsmCBQvYb7/9MM3W6XXm03FosUkupZwjhNCllA7whBDiZ+Cy1Z0jhDBRBtmzUsrXvM3LhRDdpJTFQohuwIpm7vcI8AjA6NGjO1zp+esvTuLLib+SStqkksrjtWRRCVdd9Az3PfFPHrz3S/SczRCOrUaG4DWHlRIRLkQ6KdzKOYQ698fSIxDMUsokqVZ4tlNDKmxBzgr2yf6cLRNLGVguyU7qhJfbuAurSVQmWbUsQVWiziBL1wzUTjkBkjYEA4KCLIFtK11pmoLsHI1O/bIJj+zCqrFZ/DjI4FujN08sPgVck/xFfcmeVo1ZFkc6DjJWCUYIklVIR7WiNQMGJ/9jW/r2y2+V9zk/P597772X7OzWb7Ph41PLmvRhe9FfseoYZlCVcDuOTLfTEV6lI0JDC2Qr71gwigh53qhQWOWQBWs9ZAFcQwdTQ2qekeWCcCV4uanSyx/FNMDQkYaGNDTPgPMMOR3l0dKEGjqu1ba20CEQUEafptUdLzWkzBjNZIe9CKONdDLaXlgJpOUl7kuV3O/aSdXY1vaKqtyUV2mpeblj9X8tQgh69unOw6/dxtlHX05VRXWj9zOZSHL/TY+wyz7bEclSld3zZ/1JyfJSBg8fSG6nnLX+HZ177rnEYjHfIPMBWm6UxYQQAWCqEOJWVK7YakOfQrnEHgdmSCnvzNj1FnACcLP39c21lrqdI6XkxQlfk4jXX5G5juT36Yt4/MEv+ej9X3Fd1UkbGjSHBdADOI6Nnd0bI6dIKTrPt24FHEp2zyYxZDIj8r9nlPUnfcslXVYZBCslYmWM+JIaqpYniMU9HaYWqBlCKn3opeMjkIRDOqGITjjHRA/oBHuGCQ7KpWaLXL4epPOxsRVfV2wHVpCcP/uTsywL00kgiUMyhqwswU2UYlcuVl3BEQwbXMSRR6//xofvvPMOiUSCww47jJyctVeEPj5/gbXWhxuayd/8zI0X3MaiBUvQdZ29D91dtZgQoq5DvmZ63wdULzI9oJLlg1FEIIQIBJXeCQVwgiZuSEMaAilI55QJVyJsgSYEuhBg28og0z2DTPfCiOAZWjLtIZMaCEwlU8pW4c20l8wjIyQpXAOCQaT9/+ydd7xlV1n+v2ut3U69dfpkJpNKQhICCYTeu0BAkCIoIIL0KigIKiAWFBQQlCqiiFKEKCCgUoI/IAFCSW8zmUym3JlbT91lld8fa59z783MpE8ykPPwObn3nrrv3tx3nvWu532eHCeUJ1nOeZmHzrFFz3+WzTwhw3hxv9VeQ2YyBiHjyPCgIPK0n3HpT65k+5U7D9spc86xf+9+PvAnH+Elb3wBr/n13+PqS68hCAPyrOD5r3wOL3vzb9+s7c/u3bv55Cc/yWtf+1pqtRr1ev1WXuERfllxS0nZb+DXOK8EXgccAzz9Zl7zoPJ1Fwshflre9xY8GfusEOJFwE7gmbfymI9qbL9mP3/whs+yd1+GCKqA8xM+w9Bbx+c+80OytCwOQh72DzhcezJqbJ0X25bP0Rsn6B4X0D/5x5y15v94pPwxJ8xmHHedojqjkYsZ+Y4O6XxKr2PISl5oD7FWt25ZQiGlr6dRoggmAqobG9jTxmidXOeyLQXfkGdzqT6excUtVGaOYWz/FLXZwVSVxLXnAYHpL5R+QV0ccNXl+cEffDvhnOPKK68kTVOstUh5VP17OMIvP25LPbzTcO0VO3jVs95I2vcdIqMNX/vC/yJIAImMpxFSIYMEGTV95yyqlPFJoZ+wDKOhrstUAkwicTEUyuICN9Q/KCsRhUQpiVMClQ9Mrf2Kb5mMDY7Of+/Ab0cqiUgU6Kj0oS2fax0YEMINSZqT0g8PqKCcQM9wJvXDRaaAvOe3KfMemMzLKEyO0/0Vwv7lHQnvPLu8cI6TiOl1U3zmo/+OLlaHm6908S9yw1c++zW2X7mDy392pX9u35O4f/67f+OEU4/jsU+96e3N3bt3c80117C0tEStVrvJ545w98Itnb7cWX7bB95+C1/zfxxeNnnHbcgfRcgyzate9ElareU/fhCgqt5lGkeRa6woEFENWZksw3RTbLpYmhkuI5g+bpVZrK1EmOkaSxt2c+yG7/GA6Kcc35tn2/WK2nUpbi6lf12bdF+XfkvT64E27sYes6vghsRMeNlGJKltG4PTJ1k8MeSGtQXXNipckh/PfG8tor2WSmeMIJXIAs/kSi81XxDbq95/bPyOLTjOOYQQvP71r0drPSJkI9zpuC318M7EP33wXyny1aHaRZ4TVKeQ8YTfsgwqyGgMGdV810kG3mMsSiAIEENRf4QNFUUMumJwgcMqiyulwMIIVKGQhSAsDWWltqUj9fL2pBPLbhPeQNaTLyvECkNZ30iT2iEMSOOQxiI0ZVu/3NYMQoTKcFL6oae8j8u7PjrJ6GFnzdliedJyGKfk4Qeq1HALVAhBGIVMrhk/iJANHvd6Nv98XWh+esHFBz2330v5pw/+62FJ2aB+3e9+9+PMM88kim7sDj7C3R23dPpyhxBi+41vR/rgjiZYa+m0e9ibGMn+v29fQVGYFbotWWbEJch4zDtNmwLCBNXciIyqXuwf1VHNTcOtzKFxoVRed1F2ybK1Idsf/GPye1zIExvns960mGhD4/Iu2U9naV04w+Jli3T2ZbSXLFofZPp/ENxy3SSMBOFUiDt9gt7GkP2ThqubAf9hHkhX12ktbCPq10i6CXGrdAPXBrI+TqcUc1eufm9neeozzr61p/qw+PnPf85b3vIW2u22L6IjDcYIdwGO9np47ZU7MGa1dEKoGBmNgVB+0jIaK/3JAlRlyuusVNklCyIIQ1wcoiNBnoBODDoypFFOHhcUiaZINHlFk1Zz8qomrxmymkBXFFYsUyAnwElAgVFgAshjS1Yz9Bs56diKW60grzuKGuhYYiKFVWIYJwd4cmbsUJfhnMaawhOzvO2/t94odjnGyYEIhoMOAJPT4wRhgFSSM84+lX/4yvsPqSODsiaXdVgFirMffB/UIBHhRlicXzrk/d1ul7e85S389Kc/BRgRshEOiVuTfTlAAvwacGSU20chPv+pb/Dh93yObqdPpRrzwlc9jee++FcO2nacm+1Q6HLlpcIhyZJC4JxCyBChYoLGRj+SXsK300FWxjGd/VAG7dr+kne/loLOZsWux+4mWHs9v1L9b+7T3s8JN0jWX1KQXzxHfiCjO5PSWtQUOWjtsNzkhLc/NryFUBxBXFcka6uYsYhOA7Y3FRfIU9ieHsfswjaihbXU5pvU9geEuYMsw/V7uM48Nl2kmLsGmYyV7TeB0AusW3PownVb0O/3SdP0Dnu/EUa4jTiq6+EZZ5/G5T+7CmMcQgSl7+G075CFVWRQ88L+qIqIGuXiMUQEfmJyMG1p44CiKrEVS14t0LFGK41TdihGlU6BBhcGWGkJVYALFEEhkYMmkgAkWAlGOUxgsZElDwtMaLChHQ4eyUKitCJIFbEMEZkEJxF9s1zLrMVRasnw9h7CaazOhxOWzqRDjzIQCBmVeZfl4IEteP4rf41nvegpOGsJI1+rjzt5K0IcvJgddMoq1QqNsTpv+as38OyHvZB+t7/qeUEY8JDHPvCQ16UoCtI09dmZI4xwGNzS7cu5G931N0KIHwN/eMcf0tGF//zct3n/n/4LaakZaLd6fOS9nyMMA571wseveu7p9zpmGAWCDFeRNiGEN0pUcTlJJJHVCURcBQQu7xHbkG0nKC752W5obsQu7Uc11tBfpzjwoBAmZ3hccj7PMBdx6tWS8cszzKXz6KWC1r4u8/sNeeENYo11WAdBICjK7w+FQJVWQrGkviYh2FBjsQn7pgxfDM7hx+2zWZg/DtGaIu40mdpZJ8zLqjV7AJFnRJWQ1vc/hyl60PXk09mcWi2hVr/92ZNaa4Ig4JxzzuF+97vfnZKdOcIIh8PRXg9/4xXP4vP/+J9YaxFCIpOJMtRbeWPYsIoMY989U6XBqywNW4PIE7JKiC51ZL1Kho4LTOQJ2WD70pW9MKkkxhQoFaKVJgxCwiJAmOWJAFlOB1jlsJElreTkUYqLHFrmyyRPBwQ6xAQBLnA4FxIbP2AgBmxpsFth7ZA9ORn44YHSk8wWKc4W3sR6Ze0txf1Ohvz9u/+Zc3/9cdQbyzXqwY8+hyAMD9r+VYHkQY98IA97wgN53NMeTaWa8Afv+V3+8BXvIs9yrHVEcURjrM6LXvebq15rjEFKyfj4OO9973tH9WuEm8QtImVCiPus+FHiV4p3C4e7j/71F4aEbIC0n/OJD3zxIFJ20YVXUeQ5yJswOCwF/2psAwSR9wpyDqIqRlY5/eEbSDbO8tMf78IGCYQB+x/uDQo3JtfzVPV9pvdD84ct8iuX6Oxo0Z7LabcsWQ5Z4Uj9AtIvUCVEann6cqUjRhhAJRQ0apKJtRHR+iqyGdEad3ylcRxGhuS6gisqVDpNmrMNlJO+GHY6iHJCaWpNncXAYApKryDfLVSB4n4PuX2Tl/v37+etb30rL3vZy7j3ve89Kmgj3OU4muthv5fykx9cihABQhSIsM7AVExGdaSq+K5YKatAhX4bMyy/TxJcHKGTgKxqSesZpqIp4gwbWKzSWGWWfcosmEAgrUTrgiAI0YVGmwgx2MN0oKxAOokwgiwpyJI+OsoxUQGKoUYNl1MUgljVsFiEFag8Rg00Fs6BLpb1t9azPiFDT8wGAefODH0SYaW4PwTnCZe1jm9+5f/xlGc/Zvi8xlidP3rf7/LO170HY3wOcRSHPOlZj+XN737NqvrzmHMfycYtG/nnv/tX9u7axzkPuy/PfvHTmZgaHz7HOcd73/teqtUqL3/5y0f1a4SbxS0tJO9Z8b0GruOXbGrycDgws3DI+xfmWhhjUcpvQ7YWe3z0b7+OKTQi9FqyQ0II1NQW7wc0gLUInWGDkH//Vg8n6sgNpyDrdfTaOjbqgIDnNb5AbOC4/+mS/vQAS9vbdJccWlu6fUer7zioIWYhUoIk9PFKy4chSAKYHJNMrAmJmyHJMU16Wyrsbzp6iSTLY7Kiiuo0qbQbVNux9yXadwAWFv37AA87Z4pfOeWFvO8dnyAIA8ARhAEf+Jd3DrcFbiviOGbdunVMTh41u0MjjHBU1sOLf3QZr3zWmzHW+E6PDBAqLglYFSGD0hZDgYz89KEKfcB46EPGCUNcEpLVHFktJ437npSFGS4wfusSh5WrtbXCCYQR6ChAGkVmvP2GsL7DJYxAGIXKA6wy6KhAJzlOWYzMQZW1yUqkDEjpkLg6xkToyBD2QDoHReGJWZaCKfxkQMkOBcKL+02xOtNycIxC+PpYflSW5vzTBz/LE3714avq1BOe/ijOPOc0/vtL36bfz3jIY87h1DMPHQ5+z3vfgz/7yB/f5HVZt24d1Wp1RMhGuEW4pduXjzjSB3K0Ysu2Dey4+oaD7t+weXpIyAAu/ul1hGFAnmk/eh0uTx2KqI6MmzhnCdZsRU1v8i2sPIMs9aPeURXCaBg87oIQs2mSuRP6pM15nrz5U5xRzFLNHPpHcyxc1WZxwdDpOgoDvfzwiv7COOJQkCjhh5eEnyyvViSTayKSekDl5DH08Q16k5Ju5IgpuLZ7PMaGNOcnae6vE7QK5NW7EMPWviOOJU9/3CRjjSfzuKc9nIu+fzGVasLZDzqjJGi3DWmaEscxY2NjvPOd77zN7zPCCHc0jsZ6qLXhtb/xNjrt7vA+oZLhVyFjL3T3BcZvZarA61yDMjy8UsPVE7KKwtYsea1AVwuKuI8NNVYaCBxOmHJEbMUU5sD/wjJU9gtE+bNEWonQClVEREWMjjN0kEM4eK8SymJljiMi1ymBCgkihYsChmKvIh8GjPtOnIHC51g6k/mn2ZvSbUnA4Jxl+5XX8eSzf50vXfBP9LspSTWhUk3YsHkdv/nKZ92ua9Lv96lUKvzmb/7mzT95hBFK3Oy/mkKIewNvAE4t7/oR8O7S0Tpwzv1SqxZf8wfP5fde+tdk6bLfVpxEvPoPnrfqec2x6nLch5DYoo0M66ixLciohpAKMb0JtXYzUDpgR7HPdFuaxwU+5w0B2YSkdUpMe+1+sq1XMVbby9Mq/0uSWk74XIvF7S3mDhiWOo6scGj8MBKUW5bl9PgAA/NYAdQqgigUVGuCxmREMhWTrK2gTpqgqEg6DcveqAJO0DYNRFah1qoT9gRq58yQkA2CxrcGVzLWuAcAYxMNHvHEQ4tcbw3yPOetb30r27Zt4xWveMXtfr8RRrijcLTWw4t/dBlFtkIHVQr8kX7iUARhqSvz+47DQSOpvIyiNgZRiI5CioajX01Jky5FtYcJc1xQYFXZmfKuscvfU/jpSlHuVQ7XhxIQYAKMCRFGofMQk1b8e0UrtkFXQoEjxyUBRZFDvzI0oQV8jJKzXvDvtNeRCQG2KD//5gIUVrtoH9g3z0O2PQUpBUJKHv6EB/LW976eeuO22/mcd955fPnLX+bd7373KGB8hFuFmyRlQoinA38B/Cnw7vLus4HPCyFeBvwJv6SeYwM88BFn8pcffQMf/IvPcP32fWzaspaXvfGZPOTRZ6163j3vtYXmWJV+L/d/8lZ7gWtUQ4QxauspUKljpmrYxJ92mVvEfAepG949G+geG7Lv9A75hsuZWHMFJ1Rv4Nz8Ao6Zgy3fzUh/Ns/CrKbV9eHi2Y0cOhxlvJzxIv6Vj/gGP9QbkrH1CbVNdeRYRHDSOGYiZmaTYbbp2BfVmTXjSBzNHSfjBIStArc4VxZ5he23yHb+gJ+kS1z807M4/cw7Lt8vDEPOOuusUZblCEcVjuZ6mKYZxQrPLN8dC/1WJbK0jjDIMloJIbzgvzLmJ7zjGFeroOuKvJaSJRlFtY+O+9goA6VBGZCGoaEYzv9cbmkiLD57iRW8R4ANwCqcVrgwpAg10kSHJmQrXuaEwwUWp5yX4kpZLnwtGOt9w0zhb9ZidQr43/NQGFgNOWeXdWflh1lry/kBw7f/63sszC7y4S++55Dvc0twyimnsHv3bsbGxm7ze4xw98TNdcr+CHi0c+66Fff9XAjxTeAK4L2HfNUvGe7/0DO4/0PPuMnnSCl538dewmt++yPMzPgtBFn6/6hjT4V6k2JdHV31nj3CgUgkQdQE51CFQceOG86awx5zBcePX8oJ4Q5e0PkRx+9TNK+zyMvbzF3RoZdaMgPFoWsPUO4k2NUds0hBHAtqkyGVjVXC45q44xr0G4rZjZZWw7G7JujLiJ/374GZ20y13yDqCORiD71/B2i/daBbu3GFz+H80mcvvENImTGGdrvN+Pg4z3nOc273+40wwh2Mo7YenvfpL5NnK9IzhpY7vpvlrC6XZA4hSy1ZECHCGOIqrlGjqCf0qzn9JKVfbaOTDjZOYUDKpAbpQBgQDiEsQmiEsEhpkcIgy/udEzgU1kmsFVgbY5UEFeOUwWQVpIsRh/onaGChIQoQFTRloZODZADh45Js4V37rU8QMb1Z3yjT6fJW5+AslJ39QcySs5rDBZMXecHFP76CndfewNbjN9+q6zA/P8/k5CQnnXQSJ5100s2/YIQRboSbM48NblSAACjv2+mce8uROKhfVByzdQ1f+MZbeMwT74VUgZ8MiiuIehPdjCia4AJ8e16BjXy+rl7XwFRCrn9UB71pO/ecuogHxRfx0vkfca9LFVMXZ/C/+1i6fJ6s58gyHy58OJuLAVY+LISgWhE0xiS19VWCNQntM+vsu4dkYZOjV3XsbgqujdZwvZmmWzTRvUlUIUlmDcxc552zncV0D5SEzNe9/TOLd8j5+/jHP84b3vAGut3uzT95hBHufByV9XDntbv49lfPx5oc59xQRiFkmZc7ICQ4310iQIRVRFRF1JrIZgNTjek3Lel4RlHP0LUONu5D3IMwhaiLjFKCqE0YdYjjDkncohr3qMZt6tESjXiR8fgAY/Ec4/EsjWiOerRIJewQh22CKIeoD0kH6kvYZB4j21hW208MJjadLKOWHDhTbksa36lzRpfbmA6bLWJ134v8izarK9+AkGlwepmcHTwStQphFLB318ytug6XX345L37xi7ngggtu1etGGGElbq5TVgghtjjnrl95pxBiK3DoxNa7OZxznH7GRv7na5dj+3NEEw/ACcjXRjhK48TAYgNfFFQhiVCkk1Xamy5n29hlPCH6f9x3foFTrggIr2rR/8kBOru6tOc1Wnth/80RspUIS1uMRsOHjUdrK8jTp+iuV1igVTPM1KAVhHRkhb3ZemYWtxIXMdXFiODSCzhtfI4fXnIDTt84rgROP/PWrSYPh0c96lFMT0+PsuBGOFpxVNbDS358GUopIMfZzMcHWe3F/F717p9oC68vi2rIuO63LetNGGuQNQKyZp+imtGvLmHjHsQpRCkySFGqIFApoXQEUiPRKGlRaKQwBKIgkhmRNAgEGoFzAbmVpDIhtVWUzNEqwVqJsRIT1aAocFmByWsoVlgJWZBOEukEBkOWpix8WvstyqKPzVq4oofpz5U6s5Lglb/zMB3F2WXN7y2Q/eVZzgmnbBv+XOQFn/7wZ/nSP38FawxPeMZjecGrfp1KrUKn3aXX6XPsscfyhCc8gdNOO+32X9QR7ra4JduX/yOE+FPgx+V9ZwO/D/zekTywXzQ45/jxj3bxF2//T2ZmlkCUmZZFGzsVUyQFRWI8MVMaGxqwgiAK0aGiMzYLYcrD6hewySxyynWS8PoO/YsO0L6+Q3tB+5pk3WAhebModwGoRIKpCUmlLmmcNE5w6hSLGwPSxNKOHAtV6ISCJRnTcxGL+RRSVwi7NaK9fYo913PJDSlxVNAvDMtCEEcYaJ72zAfcrnO3c+dOtm7dyvHHH8/xxx9/u95rhBGOII7Kerh2w5phBBCAVAlCrSztrjRQFQgZIMLIb11WxyCJKUKFaVjSRkq/toSt9iHuQpyhwpQo6BAHfSKZE6mMSNiSiBmU0CiRE6GpioxAlmJ7FIWT5K5CR4W0TZO+qGLJcU5inaIwPfqygRW+prhcIZw/buEU5AphBLGOUMb50O9y6tLpHKtTbN7FFj1/f9kp9CchAmcQlLF3IkCgcWVO75CoHgJCCJ70rMcyvc7b8DjnePVz3shPL7h46Fn5yfd/mm999btsOW4r3/z6+URBzNh4kz/4q9eNFpUj3C7cJClzzn1JCLEDP230qvLuS4FnOud+dqQP7hcJ73/vd/jyf1xKnmlEUEeWvjt2YS/p5H0oEo2OctpT8958ERBWEnVrSK1ob95HEPbZLPZz6l5LvCgx13XI5lP6HU/IwE9ZikEc5s0ws0BBLRI064KpY2LqG+okJ46TTQbMrTN0I5itQS8StFXInBxjp97AbLqOaP8Wxq6roNp9TJZTIInrx+Bal5UFTQCG33rlE1iz7raLWb/3ve/x53/+57zjHe/gzDPPvM3vM8IIRxpHaz0860FnMjk9TtpPsRbvSTZ8tPzOaqSKQEaIMEFUmtBoYps1+pPQqrfRSU5R6+CSZUKWhItUwoyaXKIa5MSyT4QhEBYlChQFsbBEwpCIHrEokHjXsJSIzHZIRIVQFLTJyV0VUGgnCGSIkoauMBijsEWEcgEYgSgE1XaToO8jl0Ra+E5ZluKKHIrUZ12aHKd7OFOUdhgrpjRR5RkwOCTOSZzLKYVnhz2ftUaVN7/7NcOff/bDS/jZhZesMhHPs5ztV97ANVftYufiFVSDBkW2hTe+8I/5h//6AKfea6QnG+G24WYtMZxzPxNCvMQ5typ0UAgx7ZybPXKHdvTg2qv38jd/dh4/v2gH1VrMrz77gbzwpY8hCBXWOnZsn+Mr/3kZeW6GK9ZBcbBzN1BUDVZaltYcwIQ5Jsz8pJIT5JUOSbsJSZexoMWGvMu6A5KwrUn39shamrysBYNFoJJe83pTyohQQhIImg3J+JSkNl0j3NZAb0iYP0ayVDHMVaATSVIZsE806BGypMexO08n7lQZv1agr/rx8HdJcwjHt5HPXsZgxOqTf/d1nvkbDyVJblu47tlnn83zn/98Tj/99Nv0+hFGuDNxNNXDqy/dzmU/u5L1m9by4S+9j9//7T/miot34gbm9yZDxBO+Oya9c7+qTkGQICpVqFcpYoWpFNiGoZcs4MIUkg4q6lEJF2jEXZrBIg2ZksgeFZETiYIAixKGSBTEZMTkVEROjEYBBoFG0ZcBi7JBYHoEGFoGDJ58BcIhsNhI0TEx5AZ6AlkowlaDqIiJuhFh1yK7PVy/h027uH4Lp9OSkKVYnQ4zLw+OtlO+YyYESIXTK7Y4D4NHP/mhyBUTUj/5/s8pDpqqEljrEEIwlWwkVhXA+8X98avezWfP/9gdcYlHuBvilrp7XlgWoh/AcDT8z4Bf+uXAzuv289vP+SBZWoAzLC32+JdPfodrrtpHmksu+uF1yCBGBJVDvt4lCU46smqPotLFBQVgISz9vnRIfzJDBjlVuURTGyotBa0cmxqsWW27o6QnXIH3Z/QWGCs68aJ8TjUS1CpQrQqqExHRhipsrTN7fMDeacO+CiwlMZmQzIomfREza8fY3duMSOs09ldh8QBu8cDyewsBKkEEFW+QC0gp+PEPruZBD7/nrTqvl19+OccffzxRFPH0pz/9Vr12hBHuYtyl9bAoNG/6rbdz4fkXebd8KZiYGudj//HXfPYfvsI//t15fscyqCJkiAwTEBEybiDiOrI+BbUGLgrRVUe/klKoAlvLSkLWpR4vMBHNMxbMM656NGSbqsiIRU6E7z6FoiBCk5CTOE1kHaEzgxhLjBB0kFRlRqxqRDgklradQAsQ1hEr0DZHqQIjLaKQhK069axOshQRtgOCbga9Pi7r4bIOruhisxY27w2Dx3H6JhzzB9sKXtAxHIQ4zPNf8kZv9uqc46Pv+Wc+8defxlqFkLLUphUYq7EYYlWlEa32Idt+5U7SfkZSuYm4vRFGOAxuKSl7LvAJIcS3gY3AFPDII3VQRwu+d/5VvOX1/4YugqFGw5k+WVrw/757HUL4P3BrLDJJCI87B9WYHnbLzNIM/YkcoQVpre0JWZD7wicLgqCPFAaHIFIFZ1Z/QpA7H2WUmoPaYEJAEEiiyGIciMJRWO//OHwOECqoJoJaVVAfC0k21xD3GGfhxJjZCcNMFXZVxzBC0iJhydXIXcQ+vZZOPkWtXyXIJCI+FNF0CBUNSRmAtYfXZxwK8/PzvPWtb+Vxj3scL3nJS27Va0cY4SjAXVoPP/ORf+fC8y9atZ3W7/Z55bPewnU7DuAsCKmQUb2MWaogwhoyHkNG1TJWKcTEChs7dKwpkhTCPkQZSbTEZDTDunCeNcE8k3KBhsiJMSgcEoPEEjpH4AyxLUisI7SOyLkhBcqFTxHpO0OkjLfDQGKFpGvGcCLGIHwtVAUGAwYq3SrVpYSgJUlaGWKpjUt7uH4Xl3WxvTlMuogzvVJHZm9SI+a9yZy3wBDKEyssEKwiZlJJHv+0R7Ju4xoA/u1jX+Qf3vcvQ/83MQg2J+BAtovc5mxpnOK931ZABYr9ew+w5bg7ZgBqhLsXbmnM0sVCiHcB/wS0gYc65w7OHvolwtxsh7e96XNobX2GXPmHJ1SELQnJUFQaRMSnPa50zV7xRz6xHnnPaQIDOvExICQtGpVZmnGLUBRefItFCo1SGiNBRxBUAxCgAlCKoaZMCIgj/xlKQlpGwQ3WgVEA9Yr3IxufDqmsjakdO0a+tsK1mwo6FbimMklfRHRdTJcKfZewV09xfXYMWV6nmVaIsgD6h7CmENILa0sYYzn7/reuQTA5Ockb3/hG7nnPW9ddG2GEowF3dT38wj9+eRUh88cE1161y5vGqhBQvksWVEEoVNxExHWvJ1MBBAqrBDYwuNBigxyiDBm0GQ/nWR8usjnYyRrVZ8K1qVpD4BwST7pwjsA5QuM8IdMQOwhKbuQEaOHIpCMInQ82UrPkSpC5GC0TjFUoF6DEwHzWoIqE2lJCsiAIF/qIXh/XbeM6LWx7DtNveZNY0yuJ2MDqQ3PjxtegPg+/Wo0QDidkuYUpcUgazRpFYTjznNN4y1++BmMM73jNn/Plz36TG7vbijKi6vQTzqTd7ZG3DxaQSCmYXjt1+y7yCHdb3CJSJoT4OHA8cAa+Rf9lIcQHnHMfPJIHd1fif792SalnV36MfCXZCiqlY79EBAnRseccRMislJhNUwOfRQBE0qYSt5hM5qjIPseGNzCmusOVZdtGpIGgNQ7RdIxshIRLkrAnMP1Byx2UEiSxIAwclZjSm8iTtzCUSAlJVRA3Qhr3mMSuq7Jvs0FHsCdM2CWm6dkKs2aClm3QtwmL+TjznY3IpUmiNERmDr1/B8654e8lhcNm8whXEIQKqSR/+OfPo1K9ZW36Xbt2kWUZJ5xwAve///3vgKs0wgh3Pu7qepitNIldfWSlaaxEyNBHLSFRSdPn71bGvMA/rvgpIAFG+PxKHWQQFNTjNlPhPBuDG9igemzUC1StJdGW0HnzfoeXTkgLocUTMu3/MRGlob+VUEjftVfOIdAUpEyoFh2Z0HN1/MymX1H6FJSQKEsI8oBwKUN0urh2C5d2sGkHV6Sgu94w1imcK7zvmrMIKXHWDGvVkIiZ3HfISqNYZ/PhuXKuIEkS3vmhN7P1hGOGRrGffP+n+caXvumj6VZwMucsnWKJyfoa/ulrH2P3zr287BlvQq9IUoiTiKc+74lU64eWs4wwws3hlm5fXgz8tvP/T98hhDiHX2I3/24n4xtfu4xC+zHHG2sPBIAMkM2NyKiGGltfPiC8liIJMJsmMaGjqDp69TYgkXFGM16goTqcEl/NsW4fU65HgF9eGiFYUAE3bCqYPBCQ3GOCYiEjSS1CWIrcYUuDsjAEKRVFYTFmMFwAQQBJTdJYm1A7tomcTkjXhhQVhxOwL5jgivx4lkwThyCzMZ2iSa+zBtNey8S+DSgtUe0CN7UJM7MdVIBwmlgt8Qd/+ngu+/lOavUKj/6V+7B23fgtOqfOOT7wgQ/QarX40Ic+tEpIO8IIv2C4S+vhI574YD778S8d4hG33NEPqwgV+s5Y1EBUxpCVJiJOvDYKX9ucAoOGIEOEbZphi7Vhi81ykS3ZHBOFo5ZDoiEqE44cYAWokqQFxhv9y0FXSfjHQ+XIy2aWkY5CGupK05RtFu0knXK1qp2kKEIwIXGWIK1AaIPLMx+hpHOEK7M2B8HnK/3XBh+KJ07lN2VguSdkw+3LYVC5I6nEPPvFT+ehj1tt6fOvH/0CaT9DiNBvV5b1v1UscKB/A9PTa1izfop1G9fwl5/4I/7yDz7Ivt37SZKYZ73oqbz0919wey7vCHdz3NLty7+50c9LwIuOxAHd1bDW8aqXfJod1x7whOxQTxICmYz5XEsh/aozSXBAtrmBrQV+9RlaTGxZWjdf5sIZxsIWG4N9nOhuYK3rk2hNRTti6wtZX0Ergj0bLVsWqyTHVNGZRkpLkBlM4YY1CSAIS3IjIAgFSSMkGY+JNtYINtUwkwlL6wVGOvZGiv2iyXwxxb7+RowNsFkF051CmJCk3aS+MEHYE0gHLq7hAkO+72IAikDymX/4X37vj5/JMds23KrzKoTgTW96E71eb0TIRviFxl1dD1/yu887NCmzBudMOWkZIUSADKvIuImqjkGYeAFqGIL0hMxKSxFnEKREYZ/18V6OUzvZks+xpuuYyKCWQ5QLlBUEtpRLlFFx0oLAL0aRvkPmpKNQZZRcKYw1BfQDR8Wm1ESVUGjAUVhBbiOcqaLa4yijkLZcZIYRLgghiKHIfDwUDiFXVOVyF8N7xLoVnTAY5Fs657wG1vnPDEMBhDz+6Y/h5W958UGnsdvxsg3nNEJEw92CZjhBrVLnHX/9lmENe+jjHsBDHnt/0n5GnESj2jbC7cYt3b48ET9ddCqQDO53zh13hI7rLsNPfrSTG66f91qyAWSAUAPLB4fTOTIZRwiJGFuDqI8hhCBfW8HWA4yyFLGmtMnBKYtTmkrYo6laHK92M2lTakXBZAoV7bcABJApWKjA7FrLhr0BwSmTNAxkB/pk894c0WjryaBwSOlTfUUAYS0gWVMlaEaIrQ1oRiwdKylCuK4q+EF4Mgu2yWI+Rr+9hnjfFiqFJ5NhHtGYbxJ2Jcm+AqxDIImOfQDFvssAMNry4wuu4TmPeR2nnHE8f/Xx32dsonGT57PT6XD++efzhCc8genp6Tv6co0wwp2Ou7oeTkyN88RnPJqvf+lbGL3SqsFHKgkZ+lsQlxOXtTLrMkAkFQgCXKkpS6OUvNqGxgIbKzs5IdzFscV+1nYda5ag2ZVUU0HoJDLzHTHwmrFBDCV4MmYDMMphIoEMHDmewCnhCC0EzhE7RyALJBrjBKmNSfME0pggjRFaIAxlzqW3sSAIQQYlOVLl7oXECV/7HKKUcKzIs7xxlFK5rSslPP5XH8Xr3/kyxiaahzy/5zzsvnzrK+djrcXZnFaxSD2coN6o88F/ez9nnrPasV8IQaWaHPK9Rhjh1uKWbl/+A97N+q+BRwAv5OZzM38hsf2aA+iVHhMy9NsAwy1M4Vdu5c/BppOH3TQ9HlFEGhNbtNKk9T55lIMDk3SJVJ+G7DIuelStoV5APYVYCwINygkqEmqpo5U4DhzjWKsrBPk4qhFR2WLRCznZQh+nHSgIAj8QIGqKqBohKgqxtQZTCa11grwimBkzfLV5GgURO7LNLHXWI5fWkHQbhEVImIVU52PCHoStAlFYaLXAOWRcBxkM2/7OQZbmXPKTq/mDV7yXv/2XP7rJ8/m1r32NT3/605xxxhls3jyaRhrhlwJ3eT1887tfw749+7nsJ1eiAkWeFRgqpY6MYbcMESCD2JOSIPLC00BhQkVazek0l6C5wNr6dk6tXMcJZhebu5b18zDZVlTbkqhvUblG6kO4IkqBC0Q5NCDRsUBrkAk4HC4WGOeQ5VYnWC/6d9A3CamOKLIGpGNEOkbmAlmUY0sD6YiUOCkROJwMfHdMKoRQOKH9cwexSvbQ1hhCSBwB1mi0sfzwuxfhcDzg4fej3lztwP/aP34ZP/zuj0n7Kd1+l/l8HzJ0fPJfP3AQIRthhDsat5SUVZxz/yuEEM65ncAfCyF+DPzhETy2uwTHbJ0kDBRFXrruq/CgP3IhFc4UiPoakHKoJXPCoWNDWk3p17rklT4u8NFKIvRt9Zr0k5uBczRSqKWCWqoYDCA5CXlkvVYjA4Qf1XahBCURU5KgcojLpoCxALWuit5Up71GkFYtN0wadjUiCgLmTYPZdD2kDSrtcZr7GtTaIUHfIboZ9DKEMYhiENzrIE+RcR3bXyy3AfzkpS40P7ngMuYOLDK1Zvyw5/PpT386Z5111oiQjfDLhLu8HlbrFT76pfdyzeU7uP7aG7j05zv4pw9/GeckyNATmkGHXyr/VSl/iyPSuqDX6FOs3U9lfCcn17ZzmricE1qajfOwdimgut8SLaXIwiH6hWdSA14mWe5mJQE2FLhQoioKqZWfKZcSE1kvBfPZ4gBkDgwKbRP6RRXyBqrTRPYD4n6ELOywA+eELGOSpL/JACEjrCsteZwrJyndakPHFRBC4GSAsAVOKr72hf/h21/5JkIKjDa880Nv5dFPecTw+ZuP3cQXvvfP/OtHv8DPfngxE+sfw8t+9yVsO3HrHX8hRxjhRrilpCwTXkF6tRDilcBuoH5TLxBCfAJ4ErDfOXdaed+ZwN/jW/4aeLlz7sLbeOxHBPe9/zYmp2rkuV69hSnKYge+pW4LZFgBW4oshMBKR57k9God8kYXKwtsfRGUQeBQ0hKgCZ0h0I6xvqDeUwSFQA70qfiQchlZ6m1J0NN+r6B8XIYSW1O4YtkHQwYSFMhGgl5bZXENLI0b9k469ichV0Tr6JkKV7TvwUJ/DcnMZqqtBpVOSDDbR7RTRJ6vnlxyDorc6zSMLr2ADDZbGp4SFSjaS52DSJkxhk9/+tOce+65jI2NsW3bNkYY4ZcIt7oeHimccMo2TjhlG//wof/EOYlQETKsMpzEVNKXiXLxSBCgQ0U6lrO4Zh6q82ypX8t9wss5YSnjmCVYtyugtlQQ7EsRnRzbK6BwOLNMemSkEJFExAq6BTJWUAkR2g8UOaUoQobT5074Lc4MQY86i6ZOzyTofBzSClFWIckSlJVIa0oCOGBz2geRU2rUyow55yyY3Av6AeyNXfdXYnmnwzno9fLhVudbX/YnnHHf01m7YVleceU1V3DO4+7NK9868lEc4c7FLW25vwaoAq8GzgJ+A3j+zbzmk8Djb3Tfu4G3O+fOxK8q331LD/TOglKSD33iN7j/g49HKj9PJIIKImoi4gaqNo2qTiGiBkQxaN9VEs6hlnKyOKeoptgwxU3uIagtEFYXCJIlhLAo4RizKZuWoNKXhNmAkInyfxAYQZxKlMa38sXqFaAMFDJRyIr/KkKJiCRUAroTgv3rDZdsVFxeb3BltJZLiuO5onsCB/qbEK01jM1N0ZivEaYgZg7A3D6E1ThjcMb4Itjr4PI+pjVD2DymDFfv+a3MEmEYsPnYgwX/119/Peeddx4//OEPj+i1GmGEuwi3pR4eMVz43Z9z5aXXI4RChs2yOxaUE4rC/z07B0LiooB8TNGd6GEmZpgav557xdewLV3kmFlYtzOgPp8SXr2E2btEf8ci/R1t2tcu0d3Zor+rQzbXJz/QR89nmKUM19O4dgGtHNktUH2Dyh1Ki+G0ZiEhU5JMxXRtTN82SXUV0giZjhEWEUEWoAr8Qrco/M2UkSaujLCzBme0N4DVGc6UnpEmx2EOuXXp4YaLTSEEQizXMecc/33eN1f9/KUvfYkvfvGLy16UI4xwJ+GWTl8O/nXt4PUTt+Q15wshjr3x3cBAXTkG7Lkl73VnY2Kyxp+95xl0Ohlve+v/8tOfzkIYI4Jk+EcvKuMIGeCsRWQZLo6JOoIiSTFC4yb3EIYZQhhCmaOEIXAZzjlqRlPLBUp7ErZyxtNPMjkCJxC67IaF6qBjPKj4BApXUcxsdOyvw5XRGmbsJJdkJ7CYTbNn4ThoT9Pcu4nqUoWo45BLfUAisy6vff56/vbjl5OpMV+wrMEs7cUs7AIZIpMpbH8GVAylge3vveslBMHBx7Zt2zY+/OEPj4T9I/xS4rbUwyN4LPz+S9/jrRtkUBpdK1TU8D9Tbt8JhQxDdBxSJJr2xAJifB9bKzs4iV0cMw/rZhWN2RR5TYv+jg7pQkrW0lhr0eVQowoEUayIxgLCLCAoQpR2vlNWiv9lKFGJQua+NuQS0gB6UjDvYmZNg8UiIc0aYGrIPELmkjBXiMIhjC0nKS1OF1CkQzJmS98xT8asl1RYb3shODSBWknGHByUlGK0pt9dTigRQvD2t799lUfjCCPcWbhJUiaE+I+betw595Rb+XmvBb4uhPgrfJfugbfy9XcK9u/v8ud/cQE/v/gA1ljv07WCkIFA1CcQzSlvDCYlNGromsJIjR0/QBjkgKMWdBiLFxE4arKDJiQsW/rqMN32ATEDcKpsvFcU9A/zghDEeEhRVyw2HLNhyMXFcfysfS+W2pswNkG2xxib2Uhtvk5lHmSvgLklv3qWAY95yBT/+OG9dK6/6pAfIcMatu8LVhBX+eC//B5nnH3yqud8/vOfZ/Pmzdz//venktTYdd0+1m+cJoxu6S75CCMcvTgC9fB246IfXEK7nfo4JRl42wgVe1d/GfrapEJEGEIcU4yFtCaWsGNzjFdn2RLtZV2vz9olaO63qBu6dK9ZorWrT3tRk2WWFd6ohAFUKoakr6lOhiTgLSokyNTncIrMIHOLdMrbBCnoBrCoIvbaaQ7oKRazKVxRgywi0hFhERMWElVYKLTvkukC8r4nXSYHnePyNlb3sSbDWYsX+evS7uLQGMQjDciYG2yLlrbdYRTykMc+kB07dvD1r3+dF7/4xVSr1SN2zUYY4aZwc/9aPgDYBXwGuIAbZ07cerwMeJ1z7gtCiGcCHwcefagnCiFeArwEYMuWLbfzY285tLa86jX/y9xcH4tEJDW/4nSunEB0EITIybWIRsO31IXABAJXU5hKFxH1EMIRqT5bKjsZU20siq4NMYDBYeTNn0wTgQskQlpoRJD3l9WyAyggDnDjCTccL+lFjh+rrezItrKwuBXRnWJs3waqnTrCQvNqjcq03yKA4SrzRxdcw5OfdDIf+fCF5fi4h3MOZ7JVRo3OwUn3PPZG503zgx/8gI0bNvLNL13MV//9uyjlPYRe8rpn8Osv/pXbeklGGOFowS2uh3dW/fqrt3148In+v1KhwpqXXAiFCGL/B5skmGqMqTha0/PQ3M26ygwncR2bejDeDYhmlsi2t2nt7jO3v2Cxbehmfnk4cLePlaDadzTqZYpIKJGhQkYKAq87E4UdDgVY6eiHsBRI9jPBjF7LgXyaohiHtIrMqqg09jpaKxC59ZKQtO9JWdYHk2OLDFdqwKzul/WrzLy0h0s4uDE8CRv4mgkZEceCp/z6Ezn59BM577zzuOCCC3jmM5/J5OTkHXuhRhjhFuLmSNl64DHAc4BfB74CfMY5d+lt/Lzn4/UYAJ8DPna4JzrnPgJ8BODss8++0zb2f3DBHjqdHItCJH6n1f8RO2+FYXPktnsg1k4PDhSMxdQVnfEeptbGSQcYzmpcxPpwloQcARQocA7rLFYI3GDCqEzAvDHyqiBeElBVyEzjpirQLXxYucCHX1YDWFshr0hu2OIoBCyIceazNajFdVQX1tCcqZF0FfEiqMwsbw04h0u7mM4Sb3ndV/mVp57F+FjIwlKxfBDWYrrzqwLIxycbxEm06liDIOBP/uRPeN87P81/ffF88mz5Pf7+PZ9lzfpJHvPk1c7ZI4zwC4ZbXA/vjPo1d2CB667ahZe34ScuVQyDicuw4oeRkgoyqZKNxbQnupjxRerVJY4PrmZd2mO8B5VZjd3Xo7Ovw9y+gpk5TTuFpXLoEiAQEClHLXMY53x6SFsTVDRKBwhj/dajBaEtKO/kn4fQDkL2m3EOFOO0smlcWoWsQpAlhHlI3AsRGQhtIPdaMpf3cc5gdY7TKU73ccbXUicEWI1z+hZvMw5d/fE1XUrBo5/ySH7/L14HwLnnnsujH/1oarXaTb3NCCMcUdyk0N85Z5xzX3POPR+4P3AN8O1y4ui2YA/wsPL7RwJX38b3OWLYu7eL1hYR1xBxFVmfQDSmkeMbkJMbUKc/ALl2I04InBQ4KTGxoqhBb7yPSzo0KgscX7+a48JdTItFxkWHhuiSkDFGl1B69/48cujSjXFQtQeNdSuhiCz9KYkNJHY8RkQKUY8QUwlibRW21GFdFRMJdpT2OdcGkyyZBt3eFDbQJIsVaksxcVv5LcvBZ/T7uG4L0g56aRdpP+c///2HvO1tD6EedFCmg+3NYdp7wBaYdA6AJIl4xe89c1gEL7jgAt773veitUYg+fLnzydLV69c037OJz7wxSN85UYY4cjiCNTD2wVdGLQxDLo/MhoDEfjcS7zulTBGNqagVsVUHe2JRajPsiHZzYnBftYV3iA2OpCiF3NaewsWWoZ9Pdjdg9kMDpS3mRT2pzCXQqvnaHcsWc94z0Q72Bss/1P+mEmfUrIoa8zbaVp6kiKvQZagsoQoS4j6EXEaogqDyHLQ2hMuneN0BkUfpzNM3vM/lxoxH6Nkb7nua6W5LD69ZXZ2jj/6oz9i9+7dACNCNsJdjpsV+wghYuBX8KvDY4H3Azf7L6wQ4jPAw4FpIcQNeLPFFwPvE370JaVs7x9NOOnECURSRa09yVtfQLkCDaBagWqFoibJmlBUNVm1wIQGowxpc55G7QDrK7u5f+UiJkSHCsWQ+Y6LHm2RUCBJQ0sUOyIt0NqVcSUetlxh9msOrcBGCpUK1Jgg7DhUKZ9wAvK6ZP9x0K5bWlJySXAMl86dhikqSBxCgUkEQatAGN8do9fDHdjji15vCbO0q3xD2H71DJ/78iv476/+nKuv3EegHBd97yKu365Yv2ktL33903n4484anq89e/awe/duiqKg18kOO600O7Nwx1+sEUa4k3Fb6+GRQHOshrMOITXIuDxAhVDey0sGEaLSgCAiT0JazT55rYeKl9gU7mdaz9NcguqcQOzp0bmhzfy85kDbMZdCW69wpsBvXxq/MUCooBY79AprnpVwylsEFRF0laBtEzqmQm5CcAnYCJVFhP2Yai9GFg7Z16DLCXDrfLesJGYubUHewZXdsZXk6nBYWYuGOZgrECURW07YyDW7L2VxcZFNmzbdnssxwgh3CG5O6P8p4DTgq3gri0tu6Rs7555zmIfOOsz9RwUm1o7h1p06zFRDKi+Wjbz5oq4I8jFBVs/JKwV5kqGjPsXkXpL1V3NC7WpODHYyTYuK06u3JoWgQcr+oMJE3KVaOLqJpZJJX1zx9c1IyBJLoRz9pqVbsyjrtzudFCgjUNqTNyehlVh21SRXh+vYnm+ml08CApHH2MhhlENYcGkG/R72wC4f19Sbp9j3c68ZA1QgqdZjqtWIc59x9oqz8uSDztNgy+BpT3saT37ykwmCgDiOqdUrq7Yuy1+be977hCNyvUYY4c7C7amHRwJFoVGBwlIuGq1GBonvlsWNMh4uRDQb2Loir+fY+hJT1XkmVJfJ1PqYt9mc/ECP1p6ChY5lfx9aBeQOVrEtB7YkOp0CerkjTS1GG4SUCOV90VASJwWFcnQV9JSk5Rp0bA3tKoNtAAIdE/VjVCoJuhqRlwJ/Z720Q0iczrB5D1t0cLbA2dTb86yQUyDUQYRrSMicxlkzrHEru2pxHPGS176QscmGT0YZYYSjADfnU/Y84ES8Dux7QohWeWsLIVpH/vDufPzNpw4sEzJ8xIcQAhcpssmI/iSk1Yy0lrG4dh/tzdeQnfgTpo/5CSc1ruAUdS1niu1M6Q6Tpsta02XadBkzPULrzVgzFTKfQDtyZKGjn1iyxJLFjqziPCELHEXgRbIzY449Y5a5uqMX+QimxZplvma5agounwzZE45zqT6O1FbJC1/4wiLBCYcs8JrYLMN22zijKfZfRn7DBau0Ys7Bwx55z5s9R7t27eLVr341u3b5DtugoEkped0f/gZJZVlvJoQgTmJe/qZn36HXaYQR7gIcVfVQBYrxyQYIhbOlmerAyT9IEHEVkgpEITaAPM4g7lBVKRNyjrEeVDuKcKZH70CXhQXDgS7MryJkK29gEeQO+toPSQ58poUSoAQi9F9tRZHXHHkCLVll0dZIbUJhQnAgRYTMQ+J+SNSxyH4Ovb73JRt0ypy3xrBZC1ekON3D5j0fpTTcxQg8KbvRcJJnkMWQkDmbrdCTOYK1Gc/73acwtXZiRMhGOKpwk/9vdM79UuZbHg7GOC7dnvnumJC+QwaYWNE+tYaNHXmYkdUyumOzmPE5orG9rE/2cGblYh7pLqGmNRUNsfGGiUsxGCUJcEib05XQkxFLYYKqpwjlyApHpRAo4ztfWlly4b19lhI4EAfMqjo/diexTc0w6TpIZ7HS++4suBqX6hOZNRPMdDdjXYBIGwSZD8mNZw3ClUVb5+T7L8e0dh30+//hn/4a9cbNB+taa5FSHrKYPf6pD2ZiqsnH3/9F9uzaz6n3Op7fef2vcfzJx9y+izPCCHcxjqZ6+L1vXsibfusd5IUD1cCZDBlN4azx3bEggDBCBCEuVOSJIY/7iLhPI1hirV1iLIPGAUuxv8vCtTlLLcN8CmlpZn3wcKnv5WvH8OYcSCUQcenuHwfYakARSdJI0wlhQTRYMFOkpoLWMZgAtCU0IUEuEb0cemlJyDzTE/hhJKyGsjNmdQo2G8xQLu9kWIMjAJcvi/mdWSZnzvowTvA/S4m1jomp8Tvteo0wwi3FaImwAhf9fKG0flg+LSZStO89hgscRhr6jS5FmKFrXZLmPs4cu4gHBT/jga0ZmqkgcKBy78qvQ8d6BfsajvmqIMKRY7FOsiQSiB2WjLUK8tAhncMAhYIigFYI+6IabZHwQ30K+4r1nN96BBWRMR7PYQOLQRIIi0Gx2FlHq7UR0hphv47SAZiS7DkHnSWvrbDFQb+7UoL73Pe4mzw/RVEQhiFbt27lb/7mbw4rsD3nIWdwzkPOuD2XYoQRRjgM2q0Ob3zh20n7uTd2Fr4VLoT0Id0IL/aXAU4pdKjQVY0JC4TUNGWLuiuoFxAt5fR2dVlY0OzvQ+fmpVpA2SErvxeB8ENISQCJwtYC8hp0AmiHkiUb0zUNUh3jbAxaIYoIUUhULv3Eptb+5pZlHCg/re5M4Ttdh6hb5QGAK/xCuuyGOWc9QRXS24NQ2vtgwFjUUo3zv/hjnv6MX71d12KEEe5ojEjZCszOZYi8i61GfssyCUlPncAqg5GW1vQCTjryehtRnefYxtWcEmznIYszTPQEzQVJoyWHqUhOQLfhkNbgHCzUBMp5Rf+MGCMUFlsJWKiAcobIGWLj/cAyJZkXFWbkONvNZnYVm7ihdRxZ0SAVhgU9iRSaKMiwOiRrrwOnEFYSdscIdIS0iuqcTx1g725f3PptbNq50W/uGBur0mhWDntuut0ub37zm3nMYx7Dk5/85JHT9Qgj3EX47td/gJRlOLcQOJMiXGO4fQnOG15LhYhCSCRGGpzUKGFJRErVaWIjULN92jMZS11HK4P8sF2y1RB4i4wwEqhIIZMAagFmLCKvB3RrhsUGzAUV9um1LOoxMp2ADqGoo3REnEYoB2JgglbCDZz3rfbxSa7AmXwF4RrMqK8whgVAIYQtjWJLm4yhFAXm0z30izYbasehC8MF37mIxfklxifH7riLM8IItxMjUrYC9zixgWtfAVEdG0rcxkmymqaINJ3xJe8/Jh1WpTQbexgPW5ydX8dER7BhjyLoWoIVrvsmhLqVpebDsFQBJGgUGTHXs4YtzJDg0EJhkGSBRQAzNOjJCnvsGvYWa9izdBz5/BZEluAqXQg0Rlj6JgBXxqnokKjbRBURUZqQLEY0ryngwAFct43ttTCdA/7ghMLZgQu2Y3F+/pB+P+f/z0/58F+fx+4bDtCz2znnPg8/4tdhhBFGODwu/dm1ZIWfsvS6K1tGD2XlNGYAKoAgwCUxVgjyJIcoRdChLnvEmSXqSPRCj3RB080dbX1QAtFhEUnfyIpigaoFUA2wzRDdUPTrjtaYYzaBA1Q4YCboFXV00YAsQuQRKguI0hDsijcVK8ig80HkLu/7oHFnD3UYK156owilUmO2sp5FqoJ12sfIuYIgULSXuiNSNsJRhREpW4FE9ciXdqOsQxx3qs/yDS3d8bZ3zh/8fVc6rKvsZ9rNM5lrpmcDwpZF5avXl6oA2bZUAkWeKJqpoVOFTITM6Amaqs92NrCBOSrkBAJSEuap0afCtflmdmXHcP2+eyH7kwT9KrX5cXQ1wwa+SEkjEdZ/am0uQdqAIFdU50PCTMD8blyRY+d3Aw4ZVhBC4pDl6tMXdCMExthVWZbf+PKF/Mnvf5K0nyFlgOQYPvKeb3LCCffgnAefeqdckxFGGGEZX/7cNznvX7/lsy4FviskJM4abJEig8CbXMsAohgXh6S1gqKaQ3We8WSRcdGlkUOtLSnmc9LU0ilW86NDwzMeBdRDGE8EUU0R1CJsPSRvhKR1QWvCMN+EfXHMbruZpWKcfl6HvAp5nSCLqaR1QiN9l0xKhJQ4Kb2mzFqw1i8ahcCaYhUpGzjy+21LzUoqudIgdgBjNUoGNKJJGtFk+RyIKzEbt6y7Iy7LCCPcYRiRshX41499kf6uS4imTiBs1shPnEQrjVN2FduSQU4sUx7GpTT6grjndWQ3hgCwEKQW6QTV3CGqsOgqHNBrWLCGjcEMfZEQYggwGCSpS7g23crVvZOwJkD0J5FZQmN+gvp8Dd2rUEQaHec46QjygIldVZJuuDwOBbBv1he33hKrChfCF64VGo17nrF1FSFzzvG3f/EFrtv3Y7RJOWbqfgghydKCv/2LL4xI2Qgj3MkwxvC+d35qlTmz36IbeJMF4HzUklABJAlaCLpjPTrTu5C1NhvjfawX+2j0IG4VFC1Dr+coSs6zYhOR1UvMZXvrmoKxGKoVSaUeIisKMxaRNgStSctC3bE/gXk1xt5smnYxji0qkCbItELYrRDkIVJLZGFWGM+Wib+mAJ3iihQAGcQY3WNlvuVg29JZDvYsGxA4Z+kULfb3rmNj/SSSYNkYNopj3vKXr0EpxQgjHE0YkbIV2LNzFzhDMX8txYXbkQ+4J/YQqeEOQb106J/oCGRe6hsO876iXMwZAX1CUldhUTdIVMG1diuRKLzRKwbrArb3jiO3flpIt9cirCLsV6m36iRdheiFPqjcgHACmTlU5nzKeT+DTg+6PdDG6zI6cysO3n+OFAUWCKOAMFT83jueteqYi1xzYP8SjWQ92maIFSPnO7fvuz2neYQRRrgNWJhr0ev2V98pQ0AiVAUZ1SEIQcW++xQq8rWC9uQSNFtM1/dxcnwdG7OUiRaoVk6aGsyKNacUoNwgYvfGm5mOSMBYBM1E0GhKoqkQMRFTVBWdumWxZtnfhD1xxE4zzVwxTi8fg7SOzOtEWY0krxNmAUI7H8dkrde9utIw1hhcng27+JQZni7PDj4pQvjXOzfM8XVDt39HrKrUwwkilax4ieCch5/No5700Dvs2owwwh2FESlbgXvf/17837c/h4vWIFDYiy9Abbjv8HFBGWSrDGN0cECSL2dYHhal9na+JuiIhN16DXPZepTQNKJFVClOzU3MUj4OSKyVFIsbIK8Ttes0ZscI+wpppM+WU/49ZStH5dbbbPe66Gt+jhpb64tYbwnbOjAMH8c5hO7x4lc8lKLX5vvnX8b4RI1nv+DhnHDyspu1c46FxXkajSrOrj/o11mzfuJ2nukRRhjh1qLRrK3WfMoQEAgVIcMqMqyBihBKIcIYG0cUsSabnCOqzXB8cjXb2MuaDjR7ErlQoLVBCF+iIgmFBSW84bVZYdYvcQgBzRDWVmCqIWmuCYmaCXZthX4dWuOW/Q3YF0uuZw036I20iilMEYOJEEWEykOCLCDIlE8xKQa+ZNZvXerCfzV5qXl1pWhf4WR48ASm1St/8K9xBuMyms1x+j3N2tqxB53LkY5shKMVR43vztGApzznidSSDNvf6ycVr76EOI2RhRwuGgUCpCV3EakIvDl1xU9aHryu9DCJpBcZCimYEzVm9TTahnTSKfZ1jmVP+1j2dTexkE6jdUyaNskPbEMtTVGfWUdzcZxqKybsC4QBpR2qrQkOpASZRViH6PbQl34f112g2PEj9A2XYhb2epFsiSCQvP99j+VxTziVL3/hu2y/aic/+v6lvOElf8vvvfzv0No/96tf/SqveMUrePKzzlplBAuQVCJe/OonHaErMMIIIxwOcRLxtF9/DEky+Jv0hEyoCkIlyKiOCKoIFUJSQdcj2hNdSJaYrsxwbLiLdUWXqQ5UehKZWtDehD8OIJb+FghPzEIBoXD+JqERwJoE1o9LJqcUlemYYH2FIgnp1Q0LFThQEVwTekI2n0/QzZugI7ABwkoCF6Cc8lYYhUUUGrIcl2e4LPOxSlkXm6e4rO+d+IUqTXGXa9GyH9kyKXMmB5tTmD672leye/a6oZJjJVSg+JVfe9QRvlojjHDbMOqUrUC9WeMz3/o4H/iTD3P+//6EaM0zaKeS+twYnckWNjK48n9zboxCKjqVnEoW4loGCg5iZiaGvALdGiyqmGvNMfRNhbyoYHsNEA4R+ba8MwpMSHRgE7XWONIoqksV4n5I0BcIB6qrkdmK1aFzkOa41vzQeBERYLMuMqrhpG+pSeF47EPXcMop0/zOs9/NzJ4FrF0Wz/7gu5fx+X/6Fs9+4aN54AMfyOLiIs95znMYG5viU3//NdJ+Tq1R4Xde+xQef+79j/zFGGGEEQ7Ca972fLQ2fP5T32DQwxJBjAiqyLCCSppQaSCqVXQiyCspor7ImmiGjbLNeOZoFBB1Lc44hBJUKoJaBFnhsy1lmXHpWJZlxBLGY9g0JhhvSsbWxlSOb2I21+mPSRbrmsUE9sUVZsx6bijWM5dNo4sKmARhJMoFoCXSCJQTiNxAoXFZBnmGy7q4PMXlfX+zmd+SHED4/3gPMg3Gb+UOCJqQAc5KAhEyHq2lHo57+YZc/c9cGErOftDIR3GEoxN3e1KWZzn/fd53+OH//ZQNm9dy7nOfwB+//80884/maeeS6s4+YmsFE9bQFY1RBX2r6FNlSdS4fjJlrGvprpVU5h2qcH6MSYCuSPK6oNW03NCEq8RG+iTMpmuwOvIEbGktaAmBQTrlJ5PaNaJ+RNKJUFr6qU4DKjOIlSNSzvm2f5pi9l/vtRSmGG5xuLyLw68gddbiv754Ld2lOa649PpVhAwgS3M+9fEv8awXPIqJiQme+9znAvCbL3k8z33RY+n3Mqq12PsjjTDCCHcJgjDgFb//XP790//tMy+DGBnEyLiOiBqIMEFECa6aUNQMWdIlCrqsVYtUbEHdQZxJlPH2NyqUxLFkLLH0tUNK6BnQ1uvvBVBRUI9gTV2wbkoxvSmmdo86am2VXiOkNW1YaMBcRbLXref6Yi1z2XqyogFFAjpGGAVWELgAoQVCgyqMJ2RpF9dr+yilIvV1y6QwmA4XA2f+cs1rczDZCsd+b5mhy66aEpaJZF05pWn984UEBDhL2iv43y9/lx9+94f87MJL2HbiVl7w6udy8ukn3pWXdoQRgLs5Ket2erzgCa9i764Z+r2UMAr5p7//d7a++BO0SSCCoIDazpxgLGBxm8NUc5yO6Ooal4VbWVdZZOe05pg5hV4nkIUPC3cKjIJ2zbBjnWV3VOMas5Xd/Q3kuuYLVVFBWoXKQ6auX+O1YkYQFIKoKwh6joHkVsDqycoSbqmFW5rF9pa8g/WN/HwEeGdvIcmt4Fv/cyVCKECvel5WtPnJFT/kP/7jPzj33HNXPaaUpN44vLHsCCOMcOchqcS+i+UsQiVeRyYDRFhBhDEC0ElEWskwtS61UBMITewyVA7KCE90JASVgKSiqFUsU8bSCxxR7iOUwOtbKiFMVAXTE4rJtTFjJ44TbG6QbazRGRcsjlkWqjAT1Lm+WMP+fB2dvIktml7boRXSxEgdIrQgNAGyKDv8S/O4fgeXdnB5B6cLXNHHFR2czobyC2c0zhmc6Xu9mRtkY/o65pxjb+cqwLK5fhLVasi2k7Zy6UVX+F9kRV10Ft784ncAGl1orr70Gr79X9/lvf/0ZzzgEfe7067jCCMcCndrUvZPH/wsN1y3hzzz4tEiLwhOexqzvWjZYVoKpBNUFsHtCDlwzz6yX6eja1xTHMuWeC928gALdc3GBcdkzwtYtXIsVRz7JmA+DPk+p7K9t4XZbCOm14S8StCvgRVMHphGIFCLOcn2OZQOEONjkKzWc+FYJdqn24VuG7uwzz+ob2SUtgIDb58gDKlNjDO7b2bV47XqOOc+/Nd47GMfe4ed3xFGGOGORxAGTEw0mJ9tIYRCyhhE4LtkQQT1Jq4iKSKNb61bQPpiL8AFDicEhKAqAUlDMZZbhICwb6lFyy4VQkA9FkxMKMbWRjSPbaBObJKur9GZlsyvMRyow2wUsNetYW+xgVY2js5rkCegI2SRIAvpbTBSicgEsm+g1/f6sdYMLu/hdIbTKTiD1RnYvOx0FeB0KeJfsSi9kUXGmuqxOFsghOL9n/kz6o0qz3nE75QdtdUwxg3Ns611pP2MP3n9X/Lliz47SisZ4S7F3ZqUfeNL3x4SMoDk+EdRvfczyzDyASkrQ8lDiayE1OY03eYYuU7Yl23g58E96KoaE0mLPeu6TJs+IRYHpAi2y2n+O38w1+Vb0CakWFyPKCoE/SrKhNTnxpBWEnagem0LFntQb0KvD4Hynz8Ig3POV0vnoN/HLcyDLrD9VunpY/3EwcrIEuf8NkAJbRy/+5an8ud/8EmMNrS689RrDdZvmOIv3/9mKpVRR2yEEY521JtV5meXytrgvE+ZihH1CUSthhaSQHjfstxEZIT0haCQoAOHjhVhNSIYj4m7OdXCEYaCas+SppbS05UoElRriupUSOP4JurkcfqbarSnYX7KsG8cZiqSXWqaG/K1tHWVXNd9hyxPPCHLI8KsRphGVLIE1YMg017cn/ZwRR/bXwA8UXI69d8bXX7125gCgXXeOmNA0KyzpLpNNRwjCapDz7JKtcLk9MRQF3cwDrbK3b/3AO2lNs3x5pG5aCOMcAtwtyZlcRIPv1eNDdROfwZiQIIApMQBxXiArXhypkyIsop0aT1yYg/b020USYDCj5bb0ozQObAIruqeiHEBeV4hmzsGUVQJ0wpCBz4KKUuQGoKuhDCGxpgvQA5cL/XdMiFXrRAdwNISLu2iZ6+Hol8+PogacWVnzGsuXEnKBLBlyziPe9J9uM99j+O8fzufv/vYX7HppOP4x39+24qprhFGGOFoRnupV0alWay1KKEQUQwqwAUBLvJpHxiwJqFj6rRUk248Sy9wNCuCeDwkaMUkmUFIQb5YEMaGml6uNUlDEa+JSNbUECc06G5tMjetWZxwzDZhJpFcH42zXW9mn95ERzexJgEXIvIYmcaEaZWwH5O0YlRPErY1dHu41hwUfWyR4myBzXulPsyV8i+LM32c014vW2rHsHlZYHMW+ntYTPexpXkaoVquX8edtIXPfPTfUVJizMEEzFl90H1SSpJKctD9I4xwZ+JuTcqe8YIn894//HvSfkp8zP1AKr89KIJht6loBhQ1gVMOJxxOwdj+NRyoteh1JyhMSDtvsLV6HbWgN+RzhVVs7x1LYSN6nSls2kQWVVQeI3VAlFaIuwlJKyTIBCorna2DALIMZ4xfqhbGXyUhlolZt4u5wWslhApxKkIMdRYGv+IcaC6MJ3VWMzYe84EPPxuANevG+e1XP4WHPeEU6vX6iJCNMMIvEJQSCBmDMwSVMWTSZLiaDMphHAfC+knv2WKChbDGYjDHYs3R6BjCsYhkvSWwDhFIgkZBkmpsVka4xZIgDgnWJNgTm3TWxOzfUDA7BTMVmIkVB9QUV+lN7CnWsVCMkesmuBCMROQRUadKJW0QdSKSTky8ZAn6Ka7dgiL3g0k2gzKFwGbL5rjOFd4MdtDpL0nZoM4555hI1pGo6ipCJpUkikN+9H8/PSQhk1KigpgiS4f3RXHE45/+aKJ4VAdHuGtxtyZlT33eE7jo+z/nW1/9fwRJ3ZMXY4aOiVZAPiaw0coWuECZgMndxzAXZuRIbBRyZftUQpkSqQJjFRaFNgFZfxxakySdCTCKMI9I2lWqvYRkKUBagcwsstUru3QCV61Cr+cJWl54Y1jlC63rp7j20vLRCAFRBdfPy+gR4cWxdrXe4hnPOZPfefmDCUPFwsICV111Feeccw4nnjiaOBphhF80TK+fZm5hn++WCYkTA6mDAFnqxxyoLEZnCYv5GDvijayNZpmodBlrWKJcIUxCJCVBJUB1C1xuvR+GABFIWF9BT0T0piMOrNdc34ADDcGeeIwb7Dj7irXsLdYxW6yjVzQpihiMBB0SmIRq2qQyH5N0Y4KOJuykuMUWrrfkfciK1C+C0YiBc7/OSjsMXS4sfbff6t6QjLV6e2jE0wghqUXjq87No5/0YAA2b9uIChRGr05lsdYSyIAwioiTkCIveMAjz+HN737DnXLtRhjhpnC3JmVX/PxqojjkhFO3sVCfIMP5aKIysNbUJDYcusYCII13uo76VdZecwrz63ehx+cRYYoJQlLhsEbhdAWsJFicJshqRP0qlcUKjaUqAoHsg8odsp8jWn3kgPcNOmKViidmYQhK+fuKwkeKtGZBhT4jDspx74Ffz8ETmnES8OKXPogw9Fur//Iv/8J3vvMdPvaxj9FsjvQTI4zwi4ZOO1sWuluDMKXtgxCIUqUvnCDqJ+h0jIX+MeyLZ7gu2cB49VoqhUNYg3OKmooJY4XUFlFYvyiVoBNF0QzoVWBurWbXOOytC7ZH01xXHMueYow5vZ6uHiPVEUVRBZOADpBFDZlGxO2QeDEibmXIbh+3tOQnLdMetuiDzvDF1ccKCKGWVWDO4nSKM32sTr3nmNX080X293cChmayAbdCriGl4PVvfzEAz3rRU/mPf/naQaQMQGvNaWedyuve/jts3LyetRvXHNkLNsIItxB3W1L2hX/8Mn/11g+RZzkyatI4zaLqHUQYe5F9rUJRl8N6MYBEEmYBJrDgQib2bqXTa5JOLGDFYI7cIIxC9WoENiRqV5k8ME7YCwjammB/yxc/IUCpg6Z9fMcL0IX/WiwPI7jOImiNiCrgKr61X6SIyjjkPVzeHopdAZIk4Km/ek/iePlSv+hFL+Ixj3nMiJCNMMIvILQ2zO5fBBH5v3VbeENVU+CsReQakceIXBAWEarbwCRL7Ik3MRa0GI86xI0ZjHAUoWEskdSaAUEmCMoSZiRksaVdsSxNOQ5UYF9VcG04zZXFVranx7GQj5HpMayNsCYEE3n3/jRBpBGVfpW4ExF3c+RiC9fveT+yrOtvRc9PV8KKGlt6jwHOGpxJhx0zV0YsVYIqm+onksjK0IPMuXIaygmCcvF57AnH8J5/fAevfNbvH3IC87KfXsUpZ5xMPJJujHAU4W5Jyjrt7pCQAcQb7gcqxnUWcWEVEQTQ6eFUfMjXSycRufAaNAdxVsO1LEWSgrRgBVKHKBsQdapM751CaUk0V6D6OXb/jHffr9QQY5M3fbBFjisyb3eR9XwXTK4gclIhggTXX4K45kWxWcvrSbAcsyHmxb9zDkVR8K+f+Teuu7jN18/7PrrQnHnfe/B773oR207cdNPHMMIIIxw1+JM3fZg8L7WvlKJ1o3FpC9wG3znLLXE/RPcS0qiCidbQCTOuUTkVkRPEBivnSBNLN7Y0CkuUQeB8lm8/duQV6CmYjWB/orhBTnN1sZVr0hOY6W7CZGPekBHAKn8rQlTRJO42SDoxUV+i+gWu18MtzeLyPjZt+8WkLrViguEwk7OefA0yLJ21Q6+ydj5LJCvEMqQSNJYXnys8yKIo5rtf/wHX79jN5JoJep3eIQkZgDWWT37g0/zWa55HGIVH5FqNMMKtxd2SlP38h5chS8uLYPw44vVnIqQCnePSdhl9FCO1wBxqpNr5rYGwKwnbAh0ZnKgR5jEmNP71RhKkMbVyu1IYEFmB23mt14gJAb2O9xRSwcHeOINC4hz0WssaMbG6szboqokwgaKPjJuYcsS8WNrOlUuK3bueyMyB63nr77+TcXU8sfRhvD+58HJe9LQ/5HPfeg9Ta8bv4LM8wggj3NGYnVngf778AxyyNIEGq/ulA74GbXBpRpBXCdKAqBvSkGNYVVCodSzIHpcIRVER6KjCOrWXxdhQ0ZaahrDUk+UBdAV0I8WsDLmBjewq1nFNupXZ3jpMaw1kNQhK23+nEEYhsoigUyVuJyTtiKBXZls66ztfuvAWPUVvmVQNDGKthdIUd7BV6d38LdYZ5rrXkwR11lW3cjhDxqLQ/MVbPkC/m6LUoScvYSD1sPzD3/wzP7/wEj74uffcsRdqhBFuI+6WpKzeqA1jhqrHPtITMvAt8vYsIoxxDlRPoxOFG5ylgV8YvlaoFEBRn0vojQtMZDCZLzDSSSqthLgfgYNgMYPrd+KyFKTCld0uN38AsWa1LgKAbgfnHLa7CEW27D2m1EHlSAiBU6G3xij1ZUKFPpxYZPzw/13B6WduZX3ldJxeXhE6B3le8KXPfJMXvfpX78hTPMIIIxwBXL9jL1EUkBemrAm+Xti0g6xO4dI2Ik4QWUGUSmwQIoXEuknaAgq2siAMV3MyXZewLayxNmgxGbaJbEGIJ0YZIS0ZsmAn2W8m2a8b7M62sZBOoNtT0J0iSqvYwJR1UYAWxGmNqF1hbKlB3BaINAXtF5RCKZygTCNwyzFJOE/MSs8158ywUzaIU5JINjXviRKiLMPST1EqSZFrHxmlJEJK+l0/VXmThAyHcwVZChf94Gdc/rMrOeVeJx/ZizfCCLcAR4yUCSE+ATwJ2O+cO23F/a8CXoHPD/qKc+5NR+oYDofTzroHzfEGszPzyORG24fOYedugDBBXNoluN9paLwVBm4QdwRRWxAU4LAk3YCgkGR1gw0sUkuCQiGsLx/xTEawkGIHq8XeErI6hgsivz25bxei3oS4Asbg0r7Xk/XbUGTYvD+0tpDV8UP/UoMW/rCVL3DWMNu9lm5/gZ3bIypxg55OV70szwquvOS6O+rUjjDCCEcQvW6PTrsPQjHsFjmHw+CKHrY9i0wa0OujpCAWEdKGoGs4CV0ryaVh1sZkJqEXTzATHKCmMhKRo4TGEZDagI6usGTGWNJjLOU1uukaXL8BvXFvddFpggInHBSSwAZEaUS1F6PagrCdI7IcigJhNE5IPAFbsftgS91sOWU5SB8YoK97pPk845VNhCr27v44hICnPvfx7N87y8zuWTYfu4HrrtnFjquuvwVn0eFsvuJHx2U/vWJEykY4KnAkO2WfBP4W+NTgDiHEI4BzgXs55zIhxNoj+PmHhZSSv//CX/K8x7wcV/QQUe2g57isi9s1Qzg2jdy2DluRWOUQGsKeQJWddzHbJtAWsaZGUEQ45zAKhNaoriZsFYiy3ogsBSHQ3Vlsf7HsZiV+67G75KNPDtrGLPPdrEGo0Lf15ertTuecD/J1Fpd3/H0mxxRLzHd2ktlZtp14n0OuHKMk5JQzjrvjTu4II4xwRLC00OYPXvrnftdPunKBWHaVTOZ1WqbA9VvQDhFKoqwF5yciMTWUlSwJKFC0dZ1+pclMvIGq6qNkQSAM1jlyG5HZCnkR08/KDMusisyaqG6NuF8jzqqEufK1zQiiTKG0QrUtUTdHdPu+S2ZN2QmTOFMs7zy6coDJ6BVifuOtgVSEMxmtdIZ+PkszWV/m+i6Hk3/ls/+FEAJrDC9543P51Ac/fwvO4sHT6VIpNhyz/o66TCOMcLtwxEiZc+58IcSxN7r7ZcCfO+ey8jn7j9Tn3xy2nbSV71x7Ho990Dtwa85BrDAfdM7isg6YHNXqE1x8PTYIYOM0JLEvKtrADTOIforDEVjnvcSk8MHiMHTXd4A7sHeoY9Dz1yCiBqoyAapPEK735EuU1hcrtjFt3sO096Hq6/yxpR1EUsfJgIGhmsu63tsna2OLHug+gd7P1NQk7/+Hz3D/h5yBEIIzzjqJn/3oymG0lBCCOI546nMeeSee+RFGGOG24Gtf/DbGWJzJECQ4ZxGo0kXHeXKj+9jeIiqu4bo9hHUExiIqMcqGCFtBuClaVpBXa+hak3bSox2moHKfJOJkaQCroIhAVxBFjMglYVon7leI0oQwDQj7AVEqkRpEYVG9DKkNpDnkvkvmtPam3M6W2b2uDBh3pXaswJl86LIvRIATBkTI2sZJaHMMEoEbZl0KHI5+d9lo9i0veQev+sOXcdlPrzqkBcYyVr4PqEAxPjnGOQ87+46/YCOMcBtwZ2vKTgIeIoR4F5ACv+uc++GdfAxD7N8zy9KO7xFnhsrmB4L0WXE263h9FvjtgMY0Umu4fp/vZgFioInQGRQ5Juuh1m4qyZXwho79DmQZ9Dq4UswaZXuhGlNkHfRiyx+IyQnGjykJmbfhsFmHYmkXZF2EDPzrhfQFOG0PPYmc0bzjLafz31+/msUFx5lnHk+nfRnd7ibe8KZXEobLl/g9H/9d/vbPP8NXPn8+WZZz3weexhve/nwmpkbWGCOMcLRj/9450n7mfxDSb8EFPhZI4HxmpNY4nWO7i8gyJk4Yg3IOaSyCCGQFZdfQSpewRZUiyrFBHxdYnBNIqyAPkU4hhAMDgU6QeUBQhMR5gkoVYR4QaUWQWVQr81uVxnjDa2v997rwEg1r/RQ5zlt3OO0lGjb3hMwMtiUFuc6Ymb2QtWOnIIQgEIEfZLhJOIJAUm/UWFpoHfIZa9ZN8VuvfQ7/9vHPs2vHbnCOM+53Ou/6u7ehyni8EUa4q3Fnk7IAmATuD9wX+KwQ4jh3iJllIcRLgJcAbNmy5YgczIF9swBkey5EhWOIsIqQISKoDLcHzf5rQEpkfRIfyFZ66IAvMoX3CSNPyXZfjBxb47Vfqu4HCMSy7sN05+gvzXHs8cdyyklVvvHVi+n3CvTiTkxvDlVfCwhMZz+mtx+wqMoaP3lpNcjAF1khhiQPnXL/czbz4Actn6P3v/8C2r0DB+2EJpWY3337C/jdt7/giJzPEUYYweNI1K8z73cqn6sl9Lqpn8K2Bb7zs6zHsiZHWQ0mx6XdUjtfQ5QC+aArqRAgTUyQTVJ0NTax5GGOUwaLxRmLQKJQXvmLJHAB0kpE4fWyYR6gcolMHTIziELjOl0w2u9OlqTM6Xy4eHVFH2cyv5VpCpzJSvuLwRSm72Bl+RK9bJZCp0QsR8cN4JwbepYNkKU5B/Yd4LFPfThf+NSXsTeSakRxyEfPey/HHLeJZ77oqcwfWCAI1Sh8fISjDnc2KbsB+PeShF0ohLDANHDgxk90zn0E+AjA2WeffWijmduJ40/ZBoCqrvERH+X2op/MKSOMnMPsuwZbHS9JlkIEUUl4xHCcG0Cq2A8JAFaFqPo6RFwDa7CdA9iuJ4G7di2x99pLyDp9nKh7kpV30POdwe8+dOu22RIyHvNbE6S+ayZLTx+jkS5HKTF8nRCCV73qVeR5ThDcLYdrRxjhLseRqF8PfORZbNq6nqsv28FAurAyD9JZh7C6NF0tIO9BECFW5EkKByEJwgREJiYPAlzsiEWELe0thBO+Iy8BBbYcHpJWElgFGpSRKCNQxiILA4WGPIOsX9Yn8IJ66wlZ3veDS8Z4qcVKQuZ8LNygftWrGzh+0xMRtkB393gC5lZuSbpDds6u+PnV/N6fvY4v/9s36PdW5lqG3OcBZ3DMcct+jJNrJu6ISzLCCHc45M0/5Q7Fl4BHAAghTgIiYPZOPoYh6o0aZ9z3VISKVwvstZ92dOUWpbMa0963LEK1xq8E7SG0C4OmnynQi7vQ+y5Fz1w+JGTgR7U77ZQiz3G6V36OJ4NhpAjUCgd/k2LSOWzvQLm6LPzqU2cIm/GkJ25DCMHVV1/NW9/6VlqtVqkVO7Tx7QgjjPCLCaUUD3jYmYD1W37OYYtu+ajvlDlnhvUBa6BIvX7LaK/xynNEmhP2C8KWJlkSxC1FtR1TX0ioL8TUlmKiTkjULzVjWUiUhgSZQmW+U6YyiSqcTybJtU8dMQZXZP6mM1zudxBcluJ0sawdK7rllmXupymtxlrNrpnv0OntAUBK5eUastT6rtpMEcjg4OGsn114Cccct4kPfe7dnHDKtmEw+eOe9kj+6h/++MhdmBFGuANxJC0xPgM8HJgWQtwA/BHwCeATQohLgBx4/qG2Lu9MvO/T7+JF576ZmXSFCRmAyYbfOiG955cMAHGw0WsJm3VKciX9SjDvIqM6QtyI+zqNzv37O5PiTI5QIUGk+ODHX44uDB/4q//k0p/uwJoCm7fR7T3E6+6NqkwtH2fR5thNxwLQarVYWFigKFa39UcYYYRfHhSFn2Z0po2QfkJx0N3HWdAphBVckWERyCBCFJlPH1k53W0tUgdIJXG5AoXXqCIwkUTEEuvAKrccNedAOuE7ZRpE7hCZN6zF+pgnb2A7iEkqJ8e1xvYW/XEXXd/l1znOFsNaap1Gmz7a5OUuwXLc0o3hDbMlMqj6kPISlarX151x31P5t+98lH4vJYxCgmCkFxvhFwdHcvryOYd56HlH6jNvC5rjDT73nb/lD3//S3zvezdQFAPLCQAfpSRkiFDBwXYVKyCAsFInW7ge3d2P097INRw7FlTog3adRQCJmGe4oVASPWf9SnP9hnEmp5ts3ZxwyQ/2D7URMhpDL+1At29ABpUhmfvwe2/g3Gfcn7POOoszzzxzKFi96IIr+Lu/+gLXXbuHLdvW89LXP537PujUI3YeRxhhhCOD1mKLz3zkC3z3G/+PKI4Jo5A8y7H5AjKewJkCa3KENX6AexBQHsa4tAMyBOHteDBmheYrAikRSg5rm4hCvODe+yyKQKzK/xXG32RmUYUpSZn2E5aD4ae8JErOYk2By7q+y69TT97KrE5/GP6rkjHHbngsAuO7fcYPLLjh4ng1QfPELECIEOcK4krMM3/raaueMyBpI4zwi4SR6KjE2//sXP7yXf/JV867DIfEOosMqhBVkTL0lhnWHn7DVwgM0vuFDSKRnKVY3I6MmoiwCrbApIto5QjjCG2X3fUFML6mxsRUA4ArL9mx7CsmZEneAFtgc98N0ybl59d8l+9864k84lEPHRKyH3z3Et70O+8nS71B4iU/uZY3vPhv+NMPvJwHP+rMO/K0jTDCCEcQSwstnvWwF7AwuzjM6g3CBBUojDbYdA4ZjSPcQHflQKc4GfrJcKEQeXfZbiJKcFmKCEM/HakUQimQEhco0ALhFBLhM3ytGE6cA2AssgC5gpD5rcvS9mKgadPlpKX225M+LF2XW5alXtak7F/4Gc5Z1k+dRen1P3Tzt/nSUFuLDEvj2NUQUhEGgoc85oE8/9XPPXIXYoQR7iSMSFmJpYUuX/7Xbww9vGQ8AbUQObTx98VCEB3y9c5abNYFIQniJro/N3zM5i3Il8e0lQqxMvaDBSvQaRf88AfXcL8HnMiJp27l6it242TM4XLeQBLIkA/9+af5m7f9C/c+51R++7XP5H3v+syQkA2QpTnv/sNPsfGYabaduOmwW7AjjDDC0YNP//1nVxEyAF2kSLXcBXLO60xtkCN04BeQzniiRIqTEoEY+iYKa3DGIIIAwsh3yaREWIfTvpMm+hahAwjlCrNXvBu/sYjCQOnW74lZviJNxC0TMZ2X35f62TI2aUAgpQx9Z8xZP1xQ6mZNb+9Q3O/j5w51dhxhFPLX//xOHvDwkc/YCL8cGJGyEt8//5JV1EeoqCRNonTMLhBB7FvwA28gsTz1CBbTmSlfHCKDxK8YB29oBzqJwepOkRnNSqRpwX/9x0Xc7wEnct8H34uvnncRYnBU1uCk17NZZxBIkqTCJk7jusv98Oq+3bN852sXkhYhh8LM3nme/+S3smHTFO/5xBs55tiRi/UIIxzN+O43vreKkA0glt15vP418J14q3NE6C0nEF4sT9rBhQXCVHwdMhUIYxAJQipcECDKbURRml0jBMI6KDxh8+PogHHee0zbYZfM6QJnStd+Z/1QgbP+GKz2fmq28N2zweCUyZHOMl0/DltqzRwCp3vYbP4wZ2NZ9+uNZw1hFHPfB9/7Dj7rI4xw12FEykpIKcnzlVOPWTnO7UerhQh8UQliXN5DBNFwS9FmLfTcjmFb3hc1BcIN1qfegd8uO+mrQEG2mpQB9LoZL/zVP+Wqy3exukPmRbMOxd6FHxOHFdY1TkD3F5efYSy9bp+4ViHLDm71O+fI0pyd2/fy8me/k/O+9wGkvLMHcEcYYYRbiqm1k4d5xKGCwG9h5m0Qpb+ijHB5DxzePkcLCELvpWgKnI6Q4LtkA1bn3Krvhfbh4G5QG5wrdfduhSms9tOWRkOR+ffOU/9YScycKQmZ8VOX4HcbFpeuYnbhpxyz5sEEMmQQr2SLDtjsoN905e/sD2cwBGD5rdc8ZyTkH+GXCqN/kUuc9YCTcSuCcm3eAqw3PNQptuhh0yVsf8HHGbVnsHNX4fb9mGLmMi/sZ2BsmJdbAsvFQghBGEU0mhX+4m9/ayhwXYmkEnLt5Tu46rJdGH3w4zhLGMC5v/po3vbO30ba7kFPsdYRBoaksnqbdXnLwH/fbvW46AeXA6C14bKfXctVl17HXTwMO8III6zA8176LJIbCdZVoDj+HluoN6oEgfLdpXzRd/Gdweo+vnZ1vWP+gDSVX4cEzNqy42SXyZYtjWitQxQakReQZtDrQa+H63Zx/R7k3vqCPMUVBWQ9hjmcg6xLWwwJmdP94dZkpGKSaIJAxWX0UoGzmV90ln5lK+vQjWvX4DWbjt3AC159uHmyEUb4xcSIlJWYmGwglVvhTWbIW9f7VajV3rssb+P689jufmx/HknO5KRafo1QyKhGUJ1CJVNenLoCZ9//ZL7yf+/ifg88mbe969cIQwWDgFxn0WmHmT37Dxkc7pxDmxwp4fW/+wqe+qvnHjbjbcu2tbzo1edSq1eQUiwXNbf6+QtzLS78v4t5wtkv5eXP+RNe/Iw/5ikPfBVXXrLjDjuvI4wwwm3H/R9xX175By8hqSTUGzWSSsLJp53IBz/7V3zmWx/hKb/+eMYmxwmVBZtjdRfnNLYoxf069ZPaRdfn8pb+X8vkyxyanJUEzQ06YnmG63U9+coHHmQZLs8g6y5nbxZ9T6xs6Us2EP5bS1F0AEsSNtk4eR9fVwc1yXnvNZxebYjr7PJ9+MVtFElOu889+Ph//s1IGzvCLx1G25clfnD+xaWztPVFC0DnSD3L5g1r2b1XL99fIs8123/0XyRrzkTEY6h4hSdZGBCGFXTrBpzNqVQjnvDUswkjf8rPvM8WbG83Roc+x073KaxGhlUOJeyf61xDJ9/LC37lFWw7YQMAD3vc/fjONy4cDieAj1J64auezkMfc19+/bcex+c+9Q0+9O7PkqWrCZnWhs3HruN3fu0dy3l6QL+X8fLnvIuv/PBDJMmhhxpGGGGEOw/PfekzedrznsQVF1/N5PQEx564HNu0MN8lywyFFsggR8oYRI4tXfJl1EQogwsqpbVPuCxIMxpMgE8TF367cqAfW0HSnC5zKrOuJ2ui1HYZ7UlTOXVpi77XkJXWF0OBvyno92bYue9/WDd+Bs1kzfD4lwmcHm5jDohWEAQIIEoSrLU0xxu8/o9exKlnnsSGY9bdyVdhhBHuHIxIGbC02OEtr/zg8pahsyAUMpnESsmua3chkrUgQQg51DSY/jxChuStnVQ3P2SVSexgYkhWplD6ABs3T/HwR58+fPwb//F9r6PI+/+/vTuPj6o6Gzj+e+bOZLKwJSCLiOyCyOLLKiBYiopacautWhUpWquvO5XWulWrrcVdW6vlFdxFSi1FrVLRglpUJLYIKlRBUFYDyBKSzHrP+8e9GbJNDCSTe0Oe7+eTT2bu3Dv3mcvJ4Zlzzj2HbyMC3br0ZtCoMfzm/stT22+9/0puu/Zh3nmj0BlXIcIVN5zP2BOGARAMBTnr/ON5ac5iNn75deqOzOycMGedP55l//oYO1m9tS2ZTPLOwg85YeLIA7mcSqkGltsil8EjB1Xatn7NRt5b9CHRSAwJ5jn1lilfJzfgdmNCILsNYtz5yQLWvhYynN/GtpBEvPIEs25iZhLuTP2RMicxi5VW+nJqUutYlndVJpxkzY6mlnsyiShZwRa0yu1MblYb5zh3wL+zhJLtrmySdFdScZKyeCRG154dGXvyGMZ/bwz9B/fVljF10NOkDHjrHx9W+mMXK4yEWjj3+tiQJAklWwmE8pBQjptMFWMSESSYg4kVV2tFAycxC4ZzuPDH4zl30thUKxnAzh27q01bAYAdI5iVS8LtmrQlSqeOnXjm5Ztp1bry0iLZOWF+96dp7NpZzM7tu+l8eAeywpW7TMPZWcz626+Z+/RC3nzlffJa5vCDSSfynZOG8cCvnyEWq36zQSKRZOeOPdW2K6X84/NP1xEMBokSS9U/JlFK6i5FKwvbThDAXSsX27kBwOwbjC9IqpVMrPIB/5Ka3NUZixZzFjhPxJw7LeNlpCZzdcfGmvL3jJXsS66SUWJlRQSwEAztWx2Z6pZ0WsWcWf1Noiw1TqzqEIv1azaz+U9/ZuUHHzFj/sOpuRiVOlhpUgZEIrEK47gCTkJW7RuZce4Oiu/dt0nEnXcnse+W8Sq6HF7AlMtPqLZ98DH9eP7xVykrrXy3UVYIrvjFmbz79qes/eIzNmz/D1ffOrlaQlZRm/yWtMlvmfb1nNxsJl02kUmXTawcw4gjefG5t0ikhnXEwV36ZPAxR6Z9P6WU9w7r2rHyDUMmgSGISZQidhzipQTCbZyWMyvkjheLOXdjumv3Ggkg8RhYltPqJe5i4nZyX/dkIuZMip2IuYP2o6m7Kct7B5z9yty50GxMPEIyXsqXW94gHGrFoa0HOEkh4nZruolYeYKWiAA1j5GNRROsWvEZby9Ywrjvjc3gFVXKezrQHzhm7IBUPiVW3cZRmdTAVKdSsUs2UPVLXHZ2kB9dUPMcOkNHHcXAIX3Iztm3cHh2TphjjhvIDy86nodmXcO8hQ/yy5unMmbsqAP5WLVKJm1eeGoxNiEkEHR+rGysrDy+e/JwevU9/NvfRCnVaIwxfLnmK7Zs3ApAi1a52HZ5ImMqtDbZ7pQ+cezYbuyk0wLltHJFMAn3LsdkYl8LWPnC4ZESTLQUEytLLSpuYpHUQuMkY05rWKzYuQs9uhc7VrIvIbOTzl3q8Qhi27Rt0Yv8nC7YiVJMIuLchZkodbo2jQE7ToeO+QSs9OtcglBWUsaSN99vjMuslKe0pQw4vHtHzp1yInOeXEg0nn7MQqXbtOOlJMu2I4EQ4Szo1ytJu16dWbp0C6EsC2Mbzr/wf5hw0hE1vpeI8MAT03jlL2/x8ty3CAQCnH7OOE4+awzr1q2jc+fOhMNhzj333Ab/vADvv/0J//10Q6XPJCJYoSx+dOnEWo5USjW2D99dzo0/vZ3iXcXYts3hPbvwzfYSomURjASdqS6sLMAgdgxn3V6cL4yxYiRgYQXznNavZAywnYlijeW0dqUmwnZPaNxZ+RMxp0UtEXWm24jsxSSj2PEyTLwMCeUSCGallkcyiSiJeCmx2G5Ctk3L8CGYZFlqIH9q2SQAO4FInB9dchJzZr3Mpi+3VPvcxu12DYaC5LfLz+xFVsoHNClz/e+0HzDqO4N48blFLHpzDbZd9Zubwdhxkns3A/u6DELhEFOu/iEvv7CAlYWPIRIiu30HfvvodQwc0rfWcwZDQc44bzxnnDc+tW3v3r3ceOONjBo1iquvvrraMdu+3sF7iwoJh7M49oQR5LXIPaDPW/j+6mpdpwABEZYvW0OfftpSppQfFG3exlXnXE9ZaSS1be2q9Ugg5C7K7U6masdALIwJuDPyx8EKY8eKCYRysaO7CEg+RAyE85yljZIh547LQACna9F275jcNw2F8zjhtJ7ZUeyyndiJCGCcfQMWzkg0J5fbWrSE4pINdGs7ioAdcbpF7TiVJ3/FbT0r4Q+/mcFDs6fz4lOvsvi1JSTiiQr7OdP5WFaY0390SmNdcqU8o0lZBUcPO4Kjhx3BMzP/yaw/LiQeS2DbhoAl5LcJ8/X69aQGuLosK8DTf5jD3j3lY82ibFm/l6vO+QV//8/ztGiZfixYTVq0aMG1115Lr169qr327KNzeeS3s7CCQecGKdtwzxO3MXLc/q/71vaQ1mSFQ5Wm0wAIhiwK2qYfn6aUalx/e/7vJKvcJW0bCBhAnDkSxdgYAghJnLFZbqJkbLCj2NFdzmB/YzvTZCSiSDgPAkFnwXGxnOSrPNkqH+dVPrbW2M76mpGdmGTcTcqSiBWGpA0i2G73adu8HuQGcggky5z3scvXxSx/r6TbquZMfh0pi/DMIy/w8Oy7Wfzauzzx0POsXvk5YBMKWYiEuOOPN3NYt86NcLWV8pYmZTW48OLvcuxx/XhzwUfYts24EwchxPnxxBsqzemVnRNm+LH9Wbq4+liHZCLJwvlvceYFdft2V1RUxO7du+nduzfHHHNMtdf/u3INf7zrSSeJqpBITfvxbbz+8VxyW+Ts12c8+fQRPP7wy9W2W5bFmOMH1XCEUsoLWzZsrfblKbX4t0k6CZUdd9axJOiMwzLOoH2TjIAEsGN7MCZJwLSEZAzJaul0c6YW0QwgVsgdsB/BJKPuoH/jjE9LOmPV7GTUHRtW4iRndgwJBMFOsDe2gxbhQwgYm1wrz03I4pCMAEIgINi2jZ2IOjP4V/D1piJEhHGnjGbcKaOxbZtP/7OaaDTGgCH9yArrnImqedCB/ml079WRS66cwKVXn0zvvofSq29XZrx4J0NGHkVObjaHdmnP1Nt+TL9B3YhGqncDRsoibNu6o87ne+SRR7jrrrtIJKpPUQHwyp9fJx6rvp6lBIR/vbm07h/M1faQ1tw340raFLQgNy9MTm6YDocW8MgzU3XSWKV8ZPiYweTkVf3SZRAxzhQ45V2DxsZp5SqfrsId0B8vcZaKi+4iWbqNROk2kiVFJPZsIlG8xRmYH/mGxO6vSOzeQLLsG+xYCXa0mGTZTuxYCclYMcnITuyybdix3ZhkDDteDPG9mFgxe8o2s3nnR5RGvnYG8pcP6E+UuQP69zLu5MGErFi1hCwUCjLiuMqt/YFAgP5D+jFk1NGakKlmRVvK9sORA3vy2Nw7Km0rXLKccHYWZSWRStuzc7MZNKxfnd/7mmuuYceOHQSDNf+TRCOxGtfLxECspvnO6mDIMX34+7v38PnqjVhWgF59OuvkjEr5zPGnjWPmg8+y4YuNxKLuBNC52Rw7/hj6DOzL/OcXsHPHHiKRRGria4c7WD9QPn8ZYHalXrfyDkWssLMEE8bZbmxsOw5iuRNgO3dyYrutXhh3HcuIM3gfwNjkBfLolNeTMFnO3GPJ8jFkBjtRAsbm7QXv8r+/vIQ//u5xIu74uGDQIq9VCyZdqWtYKgWalNXbkFGDOOroPqz8cHWqxSycHaZP/14MG1PzdBjlIpEIixcvZsKECRQUFFBQUJB23/GnjuHVuW9UGuwLzkSvI8cNO+D4LStA36N0UL9SfhXKCvHUa4/xzB9f4B9/fYOs7CzOnnwGZ02aiGVZXDL1AuY+8RLTb/wTxk4glebmcdbELOe0oiWRQJBkyWaQABLMRiREeWLmrFpSvuakceZhtG2Mce/cdJdwAsOeSBG5WW2wAlnkWrmIiWNsJxkzyTjGxFNdrSJw4RXn0rVXF576/fNs/3oHI8cNZ8p1kzikY7tGvKJK+ZcmZfUkIvz+hbv486z5vDT7HxhjmHjuBM695AwCgdp7h9944w1mzJhB79696dmzZ637Dh87mONOHsVbr71LWWmEgBUgFApx1c0X07a93iqu1MEsr2Uul/1iCpf9YkqNrw8eOZBQ0BCLO3dEUmG+RUlNd1F+16PTciUBZ91die1BrJCzVJNYGEyFKSyc5IrUHZ4Jp+UMQ8KOs610Pa0S7WiX09kZw2YEsCssNO78DoWCHH/adwAYO2E0YyeMzsRlUqrJk4rzVPnV0KFDTWFhoddhNDhjDGvWrKF379513n/ZO//hn39/h3BONqf+8AR69+uR4SiV8oaIfGiM2f9bi32mseqvS8+Yyofvrkg9N1hOsiVBd0C/jZ0owyRL9x0kASwrwKjxo3j3n8swxmk5Sw03tuPOzQJpRJNlZAXCldb9BQhYQigE0UiU7Owwh3Q6hCdfe5Q2Ba0b8iMr5VsHWn9pS1kjM8Ywd+5cTjzxRNq0aVPnhAycb7zDxw5m+NjBGYxQKdUUnX/5WXy0bCXxWHkrVQI7WeKOIXPvyKwypQ/G5tAunZj2myuYNOEKImUxYtESrKBFMlHzskeliWKMsckLtSZsVb/rOzsnzO8ev4VYJMr6NV/R68jujD7+mLTjZZVS++hfSSPbvHkzc+fOJRwOc/rpp3sdjlLqIDF45NEISWdesIqqLPJtWQGSSZtAQMgKZ3HjPdfTpXtn/vKvJ5j7xHxWFK6iZ99uvDzndYp3FVd+K2PYGS3CmCS5wVaVbwwSCIezOOXs4zn2+BF605BSB0C7Lz2wdetWOnTooJWWUrXQ7sv9N2fmX3nwV49Umk+xopy8bEYcN4xNX26mW++uTLnmAvoOrHkpuMWvLeGGn9xBPFZ5mh7bJCEAQQnRpqAV51/2fULhENGyGKPGD6PvgLq3/it1sPJd96WIzAJOBYqMMf2rvPYz4F7gEGPM9kzF4CcLFiygVatWjBo1io4dO3odjlLqIHTOxWfRb1Af7rjubtas+oKqX7oDEmD647fXae6v75w8mnYd2rJlw9fEk1F2x7bTNrsTAbHAwMJVc2md30q/XCrVgDI5eeyTwElVN4pIF+BE4KsMnttXbNtm0aJFLFq0qFolqZRSDWnA0KOYMf9h2nc6JJV8iQjZOWF+/rtr65SQ7dyxi0/+vSo1AXZpopji+E4SZt8E1u8vLtSETKkGlrGWMmPM2yLSrYaXHgB+DszP1Ln9JhAIcPvttxMIBLQSU0plXJuC1vz5nSeZM3MeS954j/aHtuf8y37IoGH9az0uHk9wx7XT+ce8N8kKh9zFwYXW4Xa0CLXBCuz7L6OspOYu0poYY/jnK2/z3GNz2L2zmHGnHMuFV5xH6/xWB/oRlTooNepAfxE5HdhkjPmoOSQnH3/8MQsXLuSqq64iOzvb63CUUs1Iqzat+MnPLuInP7uozsf8/o4/sXD+P4lFY0QiZRRFttIupzNZVnalhMwKWgwdXfc1ch+963GefXROavLrjes28urc15nzzlO0bNWi7h9KqYNco619KSK5wI3ArXXc/1IRKRSRwm3btmU2uAxZt24dn3/+OWVlZV6HopRqRE2x/jLG8Jcn5qVuEkiYBLFkKfEq85SFQkHOvOAUuvToXKf33bljF0/9YXal1UhisTjfbN/Fi081mw4TpeqkMVvKegLdgfJWssOAf4vIcGPM1qo7G2NmADPAuXupEeOsN2MMIsLEiROZMGECWVm6oK5SzUlTrL8SiSSRsmiq/soKhDksrycBCSBiM2Bof7Kzw3x/8kTGnzqmzu/76fLVZIVDqXU7y0UjUd59cymTrzq/oT+KUk1WoyVlxpiVQPvy5yKyHhh6sN19WVRUxPTp07n66qvp2rWrJmRKqSYhFArS/YiuvL98CWErm9ZZbQm4M/UPGnYkM195+IDet1379+SOegAADzJJREFUtjVORBsIBOhwaPsajlCq+cpY96WIzAbeA/qIyEYRuThT5/KTaDRKNBrVuyyVUk3OtLuuwQoF3LUuwbIscnKz+dmdVx3wex7Rvxedux6KZVX+7yYrHOJHP/1BveJV6mCjk8c2kEQikVpGpLz5Xyl14HTy2MZVXoetXvkZsx54lrWr19Hv6D5MufZCuh/RtV7vXbRlO9dfdCOffbIGKxjECgS46f5pTDhzfANFr5S/+G7y2OYkGo1yyy23MHLkSM4880xNyJRSTcr8+fNZsmQJt99+O30HHMHds37doO/fvlM7nn59Bpu/2kLx7r306NudUEj/+1GqKv2raACWZdGxY0fat9fxEUqppqddu3Z06NCBcDic0fMceninjL6/Uk2dJmX1YNs2sViM7Oxspk6d6nU4Sim1X0pLS8nNzWX06NGMHj3a63CUavYabZ6yg9Fjjz3GTTfdRCwW+/adlVLKR1asWMHFF1/MqlWrvA5FKeXSlrJ6GDJkCPn5+TrthVKqyTnssMMYMmQIXbp08ToUpZRLk7IDsGPHDtq2bcuIESMYMWKE1+EopVSdffPNN+Tn51NQUMD111/vdThKqQq0+3I/LVq0iEsvvZS1a9d6HYpSSu2XXbt2cc011/Dss896HYpSqgbaUrafBg8ezPe+9z26dq3fvD1KKdXYWrduzamnnsqoUaO8DkUpVQNNyuroq6++okuXLrRu3ZopU6Z4HY5SStXZnj17SCQSFBQUcM4553gdjlIqDe2+rIPNmzdz3XXXMXfuXK9DUUqp/WKMYfr06dxyyy0kk9XXoFRK+Ye2lNVBp06dmDx5Mscdd5zXoSil1H4RESZNmsSePXuwLMvrcJRStdCkrBabNm0iHA7Trl07Jk6c6HU4SilVZ4lEgtWrV9O/f3/69OnjdThKqTrQ7ss0jDH89re/5a677qIpLNqulFIVzZs3jxtvvJENGzZ4HYpSqo60pSwNEWHq1KkEAgFdYFwp1eScdtppdOzYUSeHVaoJ0ZayKkpKSli6dCkAPXv2pHv37h5HpJRSdffOO+8Qj8cJh8OMGTPG63CUUvtBk7Iq5syZw/Tp09m+fbvXoSil1H754osvuPvuu3n11Ve9DkUpdQC0+7KKCy64gOHDh9OuXTuvQ1FKqf3So0cP7rzzTgYMGOB1KEqpA6AtZYBt2/ztb38jFouRlZVF//79vQ5JKaXqbOnSpaxbtw6AQYMGEQho1a5UU6R/ucAnn3zCrFmzUmPJlFKqqUgkEsycOZOnn37a61CUUvWk3ZfAgAEDeOihh3RQv1KqyQkGg9x5553k5uZ6HYpSqp6adUvZSy+9xNq1awE0IVNKNSnr169n3rx5GGNo3749LVq08DokpVQ9NdukrKysjPnz57NgwQKvQ1FKqf22cOFC5s+fz969e70ORSnVQJpt92VOTg733nsvLVu29DoUpZTab5dccglnnXWW1mFKHUQy1lImIrNEpEhEPq6w7R4RWS0iK0Rknoi0ydT501m2bBmzZ8/GGEN+fj7BYLPNS5VSTUxxcTH3338/e/bsQURo27at1yEppRpQJrsvnwROqrJtIdDfGDMQ+Az4ZQbPX6PCwkI++OAD4vF4Y59aKaXqZd26dXzwwQds2rTJ61CUUhmQsWYiY8zbItKtyrbXKzx9Hzg7U+dP57LLLqOsrIysrKzGPrVSStXLwIEDmTlzJnl5eV6HopTKAC8H+k8BXmuME23cuJFbb72V3bt3IyJ667hSqslIJBLcfffdLFu2DEATMqUOYp4kZSJyE5AAnqtln0tFpFBECrdt21av823fvp3NmzdTUlJSr/dRSqm6aMj6KxKJsGXLFoqKihooOqWUX4kxJnNv7nRfvmKM6V9h22Tgp8B4Y0xpXd5n6NChprCwcL/Pb4xBRADn26YO6leq6RCRD40xQ72Oo77qU38BiIjWX0o1MQdafzVqS5mInAT8HDitrgnZgSopKWHatGmppZO0QlNKNSXPP/88Dz74IMlkUusvpZqJTE6JMRt4D+gjIhtF5GLgD0BLYKGILBeRxzJ1ftu2CQaDhEKhTJ1CKaUyxrIsLMvSxcWVakYy2n3ZUPan+T+RSGBZFiJSqftSKdW0NNfuy3g8nvoyqXWYUk1Tk+i+zDRjDPfddx/33XefVmZKqSbnvffe4/LLL2fr1q0AWocp1cwcVAMVRISePXumWsqUUqop6dChA926daNNmzZeh6KU8sBBlZQBnH12o89Hq5RSDaJHjx7cfPPNXoehlPLIQdV9qZRSSinVVGlSppRSSinlA5qUKaWUUkr5gCZlSimllFI+oEmZUkoppZQPaFKmlFJKKeUDmpQppZRSSvmAJmVKKaWUUj6gSZlSSimllA9oUqaUUkop5QOalCmllFJK+YAYY7yO4VuJyDbgywyfph2wPcPn2F9+jAn8GZcfYwJ/xuXHmKB6XF2NMYd4FUxDacb1F/gzLj/GBP6My48xgT/japD6q0kkZY1BRAqNMUO9jqMiP8YE/ozLjzGBP+PyY0zg37iaAr9eOz/G5ceYwJ9x+TEm8GdcDRWTdl8qpZRSSvmAJmVKKaWUUj6gSdk+M7wOoAZ+jAn8GZcfYwJ/xuXHmMC/cTUFfr12fozLjzGBP+PyY0zgz7gaJCYdU6aUUkop5QPaUqaUUkop5QMHfVImIrNEpEhEPq6w7R4RWS0iK0Rknoi0SXPsehFZKSLLRaQwwzHdJiKb3HMtF5FT0hx7koj8V0TWiMgNDRVTLXHNqRDTehFZnubYTF2rLiKySEQ+FZFPROQad3uBiCwUkc/d3/lpjr/I3edzEbkowzF5Xa7SxeVZ2aolJk/LVVPhx/qrlrg8rcO0/mqQuDwrW36sv74lrsyULWPMQf0DjAUGAx9X2HYiEHQfTwempzl2PdCukWK6Dbj+W46zgLVADyAL+Ajol8m4qrx+H3BrI1+rTsBg93FL4DOgH3A3cIO7/Yaa/g2BAuAL93e++zg/gzF5Xa7SxeVZ2UoXk9flqqn8+LH+qiUuT+swrb8aJC7PypYf66/a4spU2TroW8qMMW8D31TZ9roxJuE+fR84zOuY6mg4sMYY84UxJga8AJzeGHGJiAA/BGY31PnqGNMWY8y/3cfFwCqgM87nfsrd7SngjBoOnwAsNMZ8Y4zZCSwETspUTD4oV+muVV1kpGx9W0xelaumwo/1V7q46ihjdZjWX/WPy8uy5cf6qy5xNXTZOuiTsjqYAryW5jUDvC4iH4rIpY0Qy5Vus/GsNM3ZnYENFZ5vpO6Ftr7GAF8bYz5P83rGr5WIdAP+B1gKdDDGbHFf2gp0qOGQjF+vKjFV5Gm5qiEuz8tWmmvleblq4vxUf4EPylkanpczP9ZfNcRVkWdly4/1V5q4oIHLVrNOykTkJiABPJdml2ONMYOBk4ErRGRsBsN5FOgJHA1swWkO9ZPzqP2bQEavlYi0AF4ErjXG7Kn4mnHaiBv9NuJ0MXldrmqIy/OyVcu/n6flqinzupzVwPNyVgutv/YjLi/Llh/rrzRxlWvQstVskzIRmQycCpzv/lFUY4zZ5P4uAubhNJFmhDHma2NM0hhjA/+X5lybgC4Vnh/mbssoEQkCZwFz0u2TyWslIiGcP4bnjDF/dTd/LSKd3Nc7AUU1HJqx65UmJs/LVU1xeV22arlWnparpszrcpbmfL6sw7wuZ36sv2qJy9Oy5cf6K11c7vYGL1vNMikTkZOAnwOnGWNK0+yTJyItyx/jDID8uKZ9GyimThWenpnmXMuA3iLSXUSygHOBlzIVUwXHA6uNMRtrejGT18rtr58JrDLG3F/hpZeA8ruRLgLm13D4P4ATRSTfbfI+0d2WkZi8Lle1xOVZ2arl3w88LFdNmdflrJa4/FqHaf1Vx7i8LFt+rL9qi8vV8GXLNPDdJn77wWlW3ALEcfqZLwbW4PQ/L3d/HnP3PRR41X3cA+cOjo+AT4CbMhzTM8BKYAVOYepUNSb3+Sk4d3+sbciY0sXlbn8SuKzKvo11rY7FadpfUeHf6xSgLfAm8DnwBlDg7j8UeLzC8VPcf+81wI8zHJPX5SpdXJ6VrXQxeV2umspPTX+TXpezWuLytA6rKSavy1ktf5Oe1V/fEpdnZauWmLwuV41ah+mM/koppZRSPtAsuy+VUkoppfxGkzKllFJKKR/QpEwppZRSygc0KVNKKaWU8gFNypRSSimlfECTMlVvInKGiBgR6es+7yYitc7FUpd9ajjmNhHZJCLLReRjETmtHvH2O5BjlVIHF62/lJ9oUqYawnnAv9zfmfaAMeZo4AfALBE5kDJ8BqCVmlIKtP5SPqJJmaoXdz2wY3Emjzy3htcni8h8EVksIp+LyK8qvGyJyP+JyCci8rqI5LjH/ERElonIRyLyoojkVn1fY8wqnLXZ2onIiSLynoj8W0TmujEhIutF5G4RWSkiH4hILxEZBZwG3ON+Y+3Z8FdFKdUUaP2l/EaTMlVfpwMLjDGfATtEZEgN+wwHvg8MBH4gIkPd7b2BR4wxRwG73H0A/mqMGWaMGQSswqkwKxGREYCNM9PyzcDxxln0tRCYWmHX3caYAcAfgAeNMe/izAo9zRhztDFmbT0+u1KqadP6S/mKJmWqvs4DXnAfv0DNXQALjTE7jDFlwF9xvpkCrDPGLHcffwh0cx/3F5F3RGQlcD5wVIX3uk5ElgP3AucAI3Ca8pe42y8CulbYf3aF3yMP4PMppQ5eWn8pXwl6HYBqukSkAPguMEBEDGDhfPN7pMquVdfyKn8erbAtCeS4j58EzjDGfCQik4HvVNjvAWPMvRVimIhTaaYbD2LSPFZKNWNafyk/0pYyVR9nA88YY7oaY7oZY7oA64AuVfY7QUQK3DEXZwBLvuV9WwJbRCSE802zNu8Do0WkF4CI5InIERVeP6fC7/fcx8XuOZRSzZfWX8p3NClT9XEeMK/KtheBX1bZ9oG7fQXwojGm8Fve9xZgKU7lt7q2HY0x24DJwGwRWYFTcfWtsEu+u/0a4Dp32wvANBH5jw6UVarZ0vpL+Y4Yoy2iKnPc5vuhxpgrPTj3evfc2xv73Eqppk/rL9XYtKVMKaWUUsoHtKVMKaWUUsoHtKVMKaWUUsoHNClTSimllPIBTcqUUkoppXxAkzKllFJKKR/QpEwppZRSygc0KVNKKaWU8oH/B0tgHKgLDSrfAAAAAElFTkSuQmCC\n", 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" ] @@ -4309,73 +4218,73 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:28:01> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", - "2022-03-23 01:28:09> No settings provided. Creating from default settings.\n", - "2022-03-23 01:28:09> Couldn't find compiled exe. Using Python version for testing.\n", - "2022-03-23 01:28:09> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323012809.txt.\n", - "2022-03-23 01:28:09> Platform information:\n", - "2022-03-23 01:28:09> system - Windows\n", - "2022-03-23 01:28:09> release - 10\n", - "2022-03-23 01:28:09> version - 10.0.19044\n", - "2022-03-23 01:28:09> machine - AMD64\n", - "2022-03-23 01:28:09> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 01:28:09> cpu count - 24\n", - "2022-03-23 01:28:09> ram memory - 110.2/127.7 Gb (available/total)\n", - "2022-03-23 01:28:09> \n", - "2022-03-23 01:28:09> Python information:\n", - "2022-03-23 01:28:09> SQLAlchemy - 1.4.23\n", - "2022-03-23 01:28:09> alphapept - 0.4.3\n", - "2022-03-23 01:28:09> biopython - 1.78\n", - "2022-03-23 01:28:09> bumpversion - \n", - "2022-03-23 01:28:09> bumpversion> - \n", - "2022-03-23 01:28:09> click - 7.1.2\n", - "2022-03-23 01:28:09> click> - \n", - "2022-03-23 01:28:09> fastcore - 1.3.21\n", - "2022-03-23 01:28:09> h5py - 3.4.0\n", - "2022-03-23 01:28:09> jupyter - 1.0.0\n", - "2022-03-23 01:28:09> jupyter> - \n", - "2022-03-23 01:28:09> jupyter_contrib_nbextensions - \n", - "2022-03-23 01:28:09> jupyter_contrib_nbextensions> - \n", - "2022-03-23 01:28:09> matplotlib - 3.3.3\n", - "2022-03-23 01:28:09> nbdev - 1.1.23\n", - "2022-03-23 01:28:09> nbdev> - \n", - "2022-03-23 01:28:09> networkx - 2.6.3\n", - "2022-03-23 01:28:09> numba - 0.54.0\n", - "2022-03-23 01:28:09> numpy - 1.20.3\n", - "2022-03-23 01:28:09> pandas - 1.3.4\n", - "2022-03-23 01:28:09> plotly_express - 0.4.1\n", - "2022-03-23 01:28:09> psutil - 5.8.0\n", - "2022-03-23 01:28:09> pyinstaller - \n", - "2022-03-23 01:28:09> pyteomics - 4.4.2\n", - "2022-03-23 01:28:09> python - 3.8.12\n", - "2022-03-23 01:28:09> pythonnet - 2.5.2\n", - "2022-03-23 01:28:09> pywin32 - 225\n", - "2022-03-23 01:28:09> pyyaml - 5.4.1\n", - "2022-03-23 01:28:09> scikit-learn - 0.24.2\n", - "2022-03-23 01:28:09> scipy - 1.7.1\n", - "2022-03-23 01:28:09> streamlit - 1.2.0\n", - "2022-03-23 01:28:09> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 01:28:09> streamlit> - \n", - "2022-03-23 01:28:09> tables - 3.6.1\n", - "2022-03-23 01:28:09> tqdm - 4.56.0\n", - "2022-03-23 01:28:09> twine - \n", - "2022-03-23 01:28:09> twine> - \n", - "2022-03-23 01:28:09> watchdog - 2.1.5\n", - "2022-03-23 01:28:09> wget - 3.2\n", - "2022-03-23 01:28:09> \n", - "2022-03-23 01:28:09> Check for settings not completely implemented yet.\n", - "2022-03-23 01:28:09> Checking if files exist.\n", - "2022-03-23 01:28:09> FASTA Files have a total size of 22.75 Mb\n", - "2022-03-23 01:28:09> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 01:28:09> Shortnames not set. Setting to filename.\n", - "2022-03-23 01:28:09> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 01:28:09> Workflow has 11 steps\n", - "2022-03-23 01:28:09> ==== create_database ====\n", - "2022-03-23 01:28:09> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", - "2022-03-23 01:28:09> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", - "2022-03-23 01:28:09> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\e_coli.fasta with size 9.64 Mb.\n", - "2022-03-23 01:28:09> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", - "2022-03-23 01:28:09> Creating a new database from FASTA.\n" + "2022-03-27 01:32:20> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", + "2022-03-27 01:32:27> No settings provided. Creating from default settings.\n", + "2022-03-27 01:32:27> Couldn't find compiled exe. Using Python version for testing.\n", + "2022-03-27 01:32:27> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327013227.txt.\n", + "2022-03-27 01:32:27> Platform information:\n", + "2022-03-27 01:32:27> system - Windows\n", + "2022-03-27 01:32:27> release - 10\n", + "2022-03-27 01:32:27> version - 10.0.19044\n", + "2022-03-27 01:32:27> machine - AMD64\n", + "2022-03-27 01:32:27> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 01:32:27> cpu count - 24\n", + "2022-03-27 01:32:27> ram memory - 112.9/127.7 Gb (available/total)\n", + "2022-03-27 01:32:27> \n", + "2022-03-27 01:32:27> Python information:\n", + "2022-03-27 01:32:27> SQLAlchemy - 1.4.23\n", + "2022-03-27 01:32:27> alphapept - 0.4.4\n", + "2022-03-27 01:32:27> biopython - 1.78\n", + "2022-03-27 01:32:27> bumpversion - \n", + "2022-03-27 01:32:27> bumpversion> - \n", + "2022-03-27 01:32:27> click - 7.1.2\n", + "2022-03-27 01:32:27> click> - \n", + "2022-03-27 01:32:27> fastcore - 1.3.21\n", + "2022-03-27 01:32:27> h5py - 3.4.0\n", + "2022-03-27 01:32:27> jupyter - 1.0.0\n", + "2022-03-27 01:32:27> jupyter> - \n", + "2022-03-27 01:32:27> jupyter_contrib_nbextensions - \n", + "2022-03-27 01:32:27> jupyter_contrib_nbextensions> - \n", + "2022-03-27 01:32:27> matplotlib - 3.3.3\n", + "2022-03-27 01:32:27> nbdev - 1.1.23\n", + "2022-03-27 01:32:27> nbdev> - \n", + "2022-03-27 01:32:27> networkx - 2.6.3\n", + "2022-03-27 01:32:27> numba - 0.54.0\n", + "2022-03-27 01:32:27> numpy - 1.20.3\n", + "2022-03-27 01:32:27> pandas - 1.3.4\n", + "2022-03-27 01:32:27> plotly_express - 0.4.1\n", + "2022-03-27 01:32:27> psutil - 5.8.0\n", + "2022-03-27 01:32:27> pyinstaller - \n", + "2022-03-27 01:32:27> pyteomics - 4.4.2\n", + "2022-03-27 01:32:27> python - 3.8.12\n", + "2022-03-27 01:32:27> pythonnet - 2.5.2\n", + "2022-03-27 01:32:27> pywin32 - 225\n", + "2022-03-27 01:32:27> pyyaml - 5.4.1\n", + "2022-03-27 01:32:27> scikit-learn - 0.24.2\n", + "2022-03-27 01:32:27> scipy - 1.7.1\n", + "2022-03-27 01:32:27> streamlit - 1.2.0\n", + "2022-03-27 01:32:27> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 01:32:27> streamlit> - \n", + "2022-03-27 01:32:27> tables - 3.6.1\n", + "2022-03-27 01:32:27> tqdm - 4.56.0\n", + "2022-03-27 01:32:27> twine - \n", + "2022-03-27 01:32:27> twine> - \n", + "2022-03-27 01:32:27> watchdog - 2.1.5\n", + "2022-03-27 01:32:27> wget - 3.2\n", + "2022-03-27 01:32:27> \n", + "2022-03-27 01:32:27> Check for settings not completely implemented yet.\n", + "2022-03-27 01:32:27> Checking if files exist.\n", + "2022-03-27 01:32:27> FASTA Files have a total size of 22.754 Mb\n", + "2022-03-27 01:32:27> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 01:32:27> Shortnames not set. Setting to filename.\n", + "2022-03-27 01:32:27> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 01:32:27> Workflow has 11 steps\n", + "2022-03-27 01:32:27> ==== create_database ====\n", + "2022-03-27 01:32:27> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", + "2022-03-27 01:32:27> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", + "2022-03-27 01:32:27> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\e_coli.fasta with size 9.64 Mb.\n", + "2022-03-27 01:32:27> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", + "2022-03-27 01:32:27> Creating a new database from FASTA.\n" ] }, { @@ -4390,25 +4299,25 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:28:10> FASTA contains 43,752 entries.\n" + "2022-03-27 01:32:28> FASTA contains 43,752 entries.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [03:59<00:00, 239.01s/it]\n", - " 0%| | 0/1 [01:47 Digested 43,752 proteins and generated 5,835,394 spectra\n", - "2022-03-23 01:31:18> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 2.27 GB\n", - "2022-03-23 01:31:27> ==== import_raw_data ====\n" + "2022-03-27 01:34:43> Digested 43,752 proteins and generated 5,835,394 spectra\n", + "2022-03-27 01:35:37> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 2.27 GB\n", + "2022-03-27 01:35:46> ==== import_raw_data ====\n" ] }, { @@ -4423,9 +4332,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:31:27> Processing 6 files for step raw_conversion\n", - "2022-03-23 01:31:27> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:32:42> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step raw_conversion succeeded. 16.67 %\n" + "2022-03-27 01:35:46> Processing 6 files for step raw_conversion\n", + "2022-03-27 01:35:46> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:37:01> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step raw_conversion succeeded. 16.67 %\n" ] }, { @@ -4433,16 +4342,16 @@ "output_type": "stream", "text": [ "\n", - " 17%|██████████▊ | 0.16666666666666666/1 [01:15<06:16, 451.81s/it]\u001b[A" + " 17%|██████████▊ | 0.16666666666666666/1 [01:14<06:14, 448.96s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:32:42> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step raw_conversion succeeded. 33.33 %\n", - "2022-03-23 01:32:42> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step raw_conversion succeeded. 50.00 %\n", - "2022-03-23 01:32:43> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step raw_conversion succeeded. 66.67 %\n" + "2022-03-27 01:37:01> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step raw_conversion succeeded. 33.33 %\n", + "2022-03-27 01:37:01> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step raw_conversion succeeded. 50.00 %\n", + "2022-03-27 01:37:02> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step raw_conversion succeeded. 66.67 %\n" ] }, { @@ -4450,16 +4359,16 @@ "output_type": "stream", "text": [ "\n", - " 67%|████████████████████████████████████████████▋ | 0.6666666666666666/1 [01:15<00:28, 86.38s/it]\u001b[A" + " 67%|████████████████████████████████████████████▋ | 0.6666666666666666/1 [01:15<00:28, 86.13s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:32:43> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step raw_conversion succeeded. 83.33 %\n", - "2022-03-23 01:32:43> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step raw_conversion succeeded. 100.00 %\n", - "2022-03-23 01:32:43> ==== feature_finding ====\n" + "2022-03-27 01:37:02> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step raw_conversion succeeded. 83.33 %\n", + "2022-03-27 01:37:02> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step raw_conversion succeeded. 100.00 %\n", + "2022-03-27 01:37:02> ==== feature_finding ====\n" ] }, { @@ -4475,10 +4384,26 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:32:43> Processing 6 files for step find_features\n", - "2022-03-23 01:32:43> Setting Process limit to 14\n", - "2022-03-23 01:32:43> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 01:38:12> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step find_features succeeded. 16.67 %\n" + "2022-03-27 01:37:02> Processing 6 files for step find_features\n", + "2022-03-27 01:37:02> Setting Process limit to 14\n", + "2022-03-27 01:37:02> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 01:42:34> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step find_features succeeded. 16.67 %\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "\n", + " 17%|██████████▋ | 0.16666666666666666/1 [05:32<27:40, 1992.32s/it]\u001b[A\u001b[A" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2022-03-27 01:42:41> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step find_features succeeded. 33.33 %\n" ] }, { @@ -4487,19 +4412,18 @@ "text": [ "\n", "\n", - " 17%|██████████▋ | 0.16666666666666666/1 [05:29<27:26, 1975.29s/it]\u001b[A\u001b[A" + " 33%|██████████████████████ | 0.3333333333333333/1 [05:38<09:23, 844.66s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:38:12> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step find_features succeeded. 33.33 %\n", - "2022-03-23 01:38:12> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step find_features succeeded. 50.00 %\n", - "2022-03-23 01:38:12> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step find_features succeeded. 66.67 %\n", - "2022-03-23 01:38:12> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step find_features succeeded. 83.33 %\n", - "2022-03-23 01:38:12> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step find_features succeeded. 100.00 %\n", - "2022-03-23 01:38:12> ==== search_data ====\n" + "2022-03-27 01:42:41> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step find_features succeeded. 50.00 %\n", + "2022-03-27 01:42:41> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step find_features succeeded. 66.67 %\n", + "2022-03-27 01:42:41> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step find_features succeeded. 83.33 %\n", + "2022-03-27 01:42:41> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step find_features succeeded. 100.00 %\n", + "2022-03-27 01:42:41> ==== search_data ====\n" ] }, { @@ -4516,11 +4440,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:38:12> Starting first search.\n", - "2022-03-23 01:38:12> Processing 6 files for step search_db\n", - "2022-03-23 01:38:12> Searching. Setting Process limit to 14.\n", - "2022-03-23 01:38:12> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 01:39:29> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step search_db succeeded. 16.67 %\n" + "2022-03-27 01:42:41> Starting first search.\n", + "2022-03-27 01:42:41> Processing 6 files for step search_db\n", + "2022-03-27 01:42:41> Searching. Setting Process limit to 14.\n", + "2022-03-27 01:42:41> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 01:43:56> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step search_db succeeded. 16.67 %\n" ] }, { @@ -4530,16 +4454,16 @@ "\n", "\n", "\n", - " 17%|██████████▊ | 0.16666666666666666/1 [01:16<06:22, 459.28s/it]\u001b[A\u001b[A\u001b[A" + " 17%|██████████▊ | 0.16666666666666666/1 [01:14<06:14, 448.91s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:39:29> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step search_db succeeded. 33.33 %\n", - "2022-03-23 01:39:29> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step search_db succeeded. 50.00 %\n", - "2022-03-23 01:39:31> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step search_db succeeded. 66.67 %\n" + "2022-03-27 01:43:56> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step search_db succeeded. 33.33 %\n", + "2022-03-27 01:43:56> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step search_db succeeded. 50.00 %\n", + "2022-03-27 01:43:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step search_db succeeded. 66.67 %\n" ] }, { @@ -4549,32 +4473,32 @@ "\n", "\n", "\n", - " 67%|████████████████████████████████████████████▋ | 0.6666666666666666/1 [01:18<00:30, 90.38s/it]\u001b[A\u001b[A\u001b[A" + " 67%|████████████████████████████████████████████▋ | 0.6666666666666666/1 [01:17<00:29, 88.86s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:39:31> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step search_db succeeded. 83.33 %\n", - "2022-03-23 01:39:31> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step search_db succeeded. 100.00 %\n" + "2022-03-27 01:43:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step search_db succeeded. 83.33 %\n", + "2022-03-27 01:43:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step search_db succeeded. 100.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [08:08<00:00, 488.16s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [06:52<00:00, 412.01s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [11:26<00:00, 686.60s/it]\n" + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [08:16<00:00, 496.17s/it]\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [07:00<00:00, 420.35s/it]\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [11:40<00:00, 700.52s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:39:51> First search complete.\n", - "2022-03-23 01:39:51> ==== recalibrate_data ====\n" + "2022-03-27 01:44:18> First search complete.\n", + "2022-03-27 01:44:18> ==== recalibrate_data ====\n" ] }, { @@ -4589,9 +4513,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:39:51> Processing 6 files for step calibrate_hdf\n", - "2022-03-23 01:39:51> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:42:13> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step calibrate_hdf succeeded. 16.67 %\n" + "2022-03-27 01:44:18> Processing 6 files for step calibrate_hdf\n", + "2022-03-27 01:44:18> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:46:40> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step calibrate_hdf succeeded. 16.67 %\n" ] }, { @@ -4599,19 +4523,19 @@ "output_type": "stream", "text": [ "\r", - " 17%|██████████▊ | 0.16666666666666666/1 [02:21<11:49, 851.78s/it]" + " 17%|██████████▊ | 0.16666666666666666/1 [02:22<11:53, 856.64s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:42:13> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step calibrate_hdf succeeded. 33.33 %\n", - "2022-03-23 01:42:13> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step calibrate_hdf succeeded. 50.00 %\n", - "2022-03-23 01:42:13> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step calibrate_hdf succeeded. 66.67 %\n", - "2022-03-23 01:42:13> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step calibrate_hdf succeeded. 83.33 %\n", - "2022-03-23 01:42:13> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step calibrate_hdf succeeded. 100.00 %\n", - "2022-03-23 01:42:13> ==== search_data ====\n" + "2022-03-27 01:46:40> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step calibrate_hdf succeeded. 33.33 %\n", + "2022-03-27 01:46:40> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step calibrate_hdf succeeded. 50.00 %\n", + "2022-03-27 01:46:40> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step calibrate_hdf succeeded. 66.67 %\n", + "2022-03-27 01:46:40> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step calibrate_hdf succeeded. 83.33 %\n", + "2022-03-27 01:46:40> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step calibrate_hdf succeeded. 100.00 %\n", + "2022-03-27 01:46:41> ==== search_data ====\n" ] }, { @@ -4626,11 +4550,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:42:13> Starting second search with DB.\n", - "2022-03-23 01:42:13> Processing 6 files for step search_db\n", - "2022-03-23 01:42:13> Searching. Setting Process limit to 14.\n", - "2022-03-23 01:42:13> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 01:42:57> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step search_db succeeded. 16.67 %\n" + "2022-03-27 01:46:41> Starting second search with DB.\n", + "2022-03-27 01:46:41> Processing 6 files for step search_db\n", + "2022-03-27 01:46:41> Searching. Setting Process limit to 14.\n", + "2022-03-27 01:46:41> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 01:47:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step search_db succeeded. 16.67 %\n" ] }, { @@ -4638,16 +4562,16 @@ "output_type": "stream", "text": [ "\n", - " 17%|██████████▊ | 0.16666666666666666/1 [00:44<03:42, 267.06s/it]\u001b[A" + " 17%|██████████▊ | 0.16666666666666666/1 [00:44<03:43, 268.16s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:42:57> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step search_db succeeded. 33.33 %\n", - "2022-03-23 01:42:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step search_db succeeded. 50.00 %\n", - "2022-03-23 01:42:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step search_db succeeded. 66.67 %\n" + "2022-03-27 01:47:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step search_db succeeded. 33.33 %\n", + "2022-03-27 01:47:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step search_db succeeded. 50.00 %\n", + "2022-03-27 01:47:27> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step search_db succeeded. 66.67 %\n" ] }, { @@ -4655,31 +4579,31 @@ "output_type": "stream", "text": [ "\n", - " 67%|████████████████████████████████████████████▋ | 0.6666666666666666/1 [00:46<00:17, 53.74s/it]\u001b[A" + " 67%|████████████████████████████████████████████▋ | 0.6666666666666666/1 [00:46<00:17, 53.29s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:42:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step search_db succeeded. 83.33 %\n", - "2022-03-23 01:42:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step search_db succeeded. 100.00 %\n" + "2022-03-27 01:47:27> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step search_db succeeded. 83.33 %\n", + "2022-03-27 01:47:27> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step search_db succeeded. 100.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [03:12<00:00, 192.54s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [04:52<00:00, 292.63s/it]\n" + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [03:13<00:00, 193.19s/it]\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [04:56<00:00, 296.02s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:43:18> Second search complete.\n", - "2022-03-23 01:43:18> ==== score ====\n" + "2022-03-27 01:47:45> Second search complete.\n", + "2022-03-27 01:47:46> ==== score ====\n" ] }, { @@ -4694,9 +4618,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:43:18> Processing 6 files for step score_hdf\n", - "2022-03-23 01:43:18> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:45:31> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step score_hdf succeeded. 16.67 %\n" + "2022-03-27 01:47:46> Processing 6 files for step score_hdf\n", + "2022-03-27 01:47:46> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:49:57> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_1.raw for step score_hdf succeeded. 16.67 %\n" ] }, { @@ -4704,16 +4628,16 @@ "output_type": "stream", "text": [ "\r", - " 17%|██████████▊ | 0.16666666666666666/1 [02:12<11:02, 795.31s/it]" + " 17%|██████████▊ | 0.16666666666666666/1 [02:11<10:56, 787.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:45:31> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step score_hdf succeeded. 33.33 %\n", - "2022-03-23 01:45:31> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step score_hdf succeeded. 50.00 %\n", - "2022-03-23 01:45:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step score_hdf succeeded. 66.67 %\n" + "2022-03-27 01:49:57> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_2.raw for step score_hdf succeeded. 33.33 %\n", + "2022-03-27 01:49:57> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa12_3.raw for step score_hdf succeeded. 50.00 %\n", + "2022-03-27 01:50:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_1.raw for step score_hdf succeeded. 66.67 %\n" ] }, { @@ -4721,17 +4645,17 @@ "output_type": "stream", "text": [ "\r", - " 67%|████████████████████████████████████████████ | 0.6666666666666666/1 [02:33<01:01, 185.22s/it]" + " 67%|████████████████████████████████████████████ | 0.6666666666666666/1 [02:34<01:02, 186.04s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:45:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step score_hdf succeeded. 83.33 %\n", - "2022-03-23 01:45:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step score_hdf succeeded. 100.00 %\n", - "2022-03-23 01:45:52> ==== isobaric_labeling ====\n", - "2022-03-23 01:45:52> ==== protein_grouping ====\n" + "2022-03-27 01:50:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_2.raw for step score_hdf succeeded. 83.33 %\n", + "2022-03-27 01:50:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD006109_HeLa2_3.raw for step score_hdf succeeded. 100.00 %\n", + "2022-03-27 01:50:20> ==== isobaric_labeling ====\n", + "2022-03-27 01:50:20> ==== protein_grouping ====\n" ] }, { @@ -4747,8 +4671,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:45:52> Fasta dict with length 43,752, Pept dict with length 5,835,400\n", - "2022-03-23 01:45:52> Extracting protein groups.\n" + "2022-03-27 01:50:20> Fasta dict with length 43,752, Pept dict with length 5,835,400\n", + "2022-03-27 01:50:20> Extracting protein groups.\n" ] }, { @@ -4758,7 +4682,7 @@ "\n", "\n", "\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [02:34<00:00, 154.58s/it]\u001b[A\u001b[A\u001b[A\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [02:34<00:00, 154.63s/it]\u001b[A\u001b[A\u001b[A\n", " 0%| | 0/1 [00:00 A total of 57,068 unique and 11,182 shared peptides.\n", - "2022-03-23 01:45:58> A total of 1931 ambigious proteins\n", - "2022-03-23 01:45:59> A total of 1,739 unique and 206 shared peptides.\n", - "2022-03-23 01:45:59> A total of 194 ambigious proteins\n", - "2022-03-23 01:46:01> Global FDR on protein_group\n", - "2022-03-23 01:46:01> 6,850 target (68 decoy) of 10821 PSMs. fdr 0.009927 for a cutoff of 0.96 (set fdr was 0.01)\n", - "2022-03-23 01:46:01> Global FDR cutoff at 0.9576718178662955.\n", - "2022-03-23 01:46:02> FDR on proteins complete. For 0.01 FDR found 247,948 targets and 216 decoys. A total of 6,918 proteins found.\n" + "2022-03-27 01:50:22> A total of 57,068 unique and 11,182 shared peptides.\n", + "2022-03-27 01:50:26> A total of 1931 ambigious proteins\n", + "2022-03-27 01:50:27> A total of 1,739 unique and 206 shared peptides.\n", + "2022-03-27 01:50:27> A total of 194 ambigious proteins\n", + "2022-03-27 01:50:29> Global FDR on protein_group\n", + "2022-03-27 01:50:29> 6,850 target (68 decoy) of 10821 PSMs. fdr 0.009927 for a cutoff of 0.96 (set fdr was 0.01)\n", + "2022-03-27 01:50:29> Global FDR cutoff at 0.9576718178662955.\n", + "2022-03-27 01:50:30> FDR on proteins complete. For 0.01 FDR found 247,948 targets and 216 decoys. A total of 6,918 proteins found.\n" ] }, { @@ -4794,13 +4718,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:46:03> Saving complete.\n", - "2022-03-23 01:46:03> Protein groups complete.\n", - "2022-03-23 01:46:03> ==== quantification ====\n", - "2022-03-23 01:46:03> Reading protein_fdr for quantification.\n", - "2022-03-23 01:46:04> Delayed Normalization.\n", - "2022-03-23 01:46:04> Setting minimum occurence to 5.0\n", - "2022-03-23 01:46:08> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n" + "2022-03-27 01:50:31> Saving complete.\n", + "2022-03-27 01:50:31> Protein groups complete.\n", + "2022-03-27 01:50:31> ==== quantification ====\n", + "2022-03-27 01:50:31> Reading protein_fdr for quantification.\n", + "2022-03-27 01:50:32> Delayed Normalization.\n", + "2022-03-27 01:50:32> Setting minimum occurence to 5.0\n", + "2022-03-27 01:50:36> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n" ] }, { @@ -4821,8 +4745,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:46:08> Complete.\n", - "2022-03-23 01:46:08> Starting profile extraction.\n" + "2022-03-27 01:50:36> Complete.\n", + "2022-03-27 01:50:36> Starting profile extraction.\n" ] }, { @@ -4837,44 +4761,44 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:46:09> Preparing protein table for parallel processing.\n" + "2022-03-27 01:50:37> Preparing protein table for parallel processing.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 20%|█████████████▎ | 0.1985544955189361/1 [00:06<00:24, 30.73s/it]" + " 20%|█████████████ | 0.19800520381613182/1 [00:05<00:22, 27.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:46:15> Starting protein extraction for 6918 proteins.\n", - "2022-03-23 01:46:15> AlphaPool was set to 24 processes. Setting max to 24.\n" + "2022-03-27 01:50:42> Starting protein extraction for 6918 proteins.\n", + "2022-03-27 01:50:42> AlphaPool was set to 24 processes. Setting max to 24.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████████████████████████████████████████████████████████████▉| 0.9994217982075744/1 [02:51<00:00, 199.86s/it]" + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [02:49<00:00, 182.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:49:05> LFQ complete.\n", - "2022-03-23 01:49:05> Extracting protein_summary\n", - "2022-03-23 01:49:06> Saved protein_summary of length 6,918 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 01:49:06> Updating protein_fdr.\n", - "2022-03-23 01:49:06> Exporting as csv.\n", - "2022-03-23 01:49:16> Saved df of length 248,164 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 01:49:16> ==== export ====\n", - "2022-03-23 01:49:23> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", - "2022-03-23 01:49:23> Analysis complete.\n" + "2022-03-27 01:53:32> LFQ complete.\n", + "2022-03-27 01:53:32> Extracting protein_summary\n", + "2022-03-27 01:53:33> Saved protein_summary of length 6,918 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 01:53:33> Updating protein_fdr.\n", + "2022-03-27 01:53:33> Exporting as csv.\n", + "2022-03-27 01:53:43> Saved df of length 248,164 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 01:53:43> ==== export ====\n", + "2022-03-27 01:53:50> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 01:53:50> Analysis complete.\n" ] } ], @@ -4892,7 +4816,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -4978,24 +4902,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_1436/1044225642.py:22: RuntimeWarning: invalid value encountered in true_divide\n", + "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_22996/1044225642.py:22: RuntimeWarning: invalid value encountered in true_divide\n", " cv = np.nanstd(ref[base_columns], axis=1) / np.nanmean(ref[base_columns], axis=1)\n", - "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_1436/1044225642.py:26: RuntimeWarning: invalid value encountered in true_divide\n", + "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_22996/1044225642.py:26: RuntimeWarning: invalid value encountered in true_divide\n", " cv = np.nanstd(ref[ratio_columns], axis=1) / np.nanmean(ref[ratio_columns], axis=1)\n", "C:\\Users\\admin\\.conda\\envs\\alphapept\\lib\\site-packages\\numpy\\lib\\nanfunctions.py:1664: RuntimeWarning: Degrees of freedom <= 0 for slice.\n", " var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n", - "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_1436/1044225642.py:58: RuntimeWarning: Mean of empty slice\n", + "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_22996/1044225642.py:58: RuntimeWarning: Mean of empty slice\n", " cv = np.nanstd(ref[base_columns], axis=1) / np.nanmean(ref[base_columns], axis=1)\n", - "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_1436/1044225642.py:62: RuntimeWarning: Mean of empty slice\n", - " cv = np.nanstd(ref[ratio_columns], axis=1) / np.nanmean(ref[ratio_columns], axis=1)\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [07:13<00:00, 433.09s/it]\n", - " 0%| | 0/1 [03:33" ] @@ -5112,18 +5033,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:49:27> Loading files\n", - "2022-03-23 01:49:29> A total of 6 files.\n", - "2022-03-23 01:49:38> A total of 6,854 proteins.\n", - "2022-03-23 01:49:46> Setting minimum occurence to 6.0\n", - "2022-03-23 01:49:49> Preparing protein table for parallel processing.\n", - "2022-03-23 01:49:53> Starting protein extraction for 6854 proteins.\n", - "2022-03-23 01:49:53> AlphaPool was set to 24 processes. Setting max to 24.\n" + "2022-03-27 01:53:53> Loading files\n", + "2022-03-27 01:53:55> A total of 6 files.\n", + "2022-03-27 01:54:04> A total of 6,854 proteins.\n", + "2022-03-27 01:54:11> Setting minimum occurence to 6.0\n", + "2022-03-27 01:54:14> Preparing protein table for parallel processing.\n", + "2022-03-27 01:54:18> Starting protein extraction for 6854 proteins.\n", + "2022-03-27 01:54:18> AlphaPool was set to 24 processes. Setting max to 24.\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -5192,8 +5113,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:52:27> Setting minimum occurence to 4.0\n", - "2022-03-23 01:52:28> Setting minimum occurence to 4.0\n" + "2022-03-27 01:56:48> Setting minimum occurence to 4.0\n", + "2022-03-27 01:56:49> Setting minimum occurence to 4.0\n" ] }, { @@ -5226,16 +5147,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:52:29> Setting minimum occurence to 4.0\n", - "2022-03-23 01:52:30> Setting minimum occurence to 4.0\n", - "2022-03-23 01:52:31> Setting minimum occurence to 4.0\n", - "2022-03-23 01:52:31> Setting minimum occurence to 4.0\n", - "2022-03-23 01:52:32> Setting minimum occurence to 4.0\n" + "2022-03-27 01:56:50> Setting minimum occurence to 4.0\n", + "2022-03-27 01:56:51> Setting minimum occurence to 4.0\n", + "2022-03-27 01:56:51> Setting minimum occurence to 4.0\n", + "2022-03-27 01:56:52> Setting minimum occurence to 4.0\n", + "2022-03-27 01:56:53> Setting minimum occurence to 4.0\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -5303,11 +5224,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:52:34> Setting minimum occurence to 3.0\n", - "2022-03-23 01:52:36> Preparing protein table for parallel processing.\n", - "2022-03-23 01:52:36> Starting protein extraction for 3363 proteins.\n", - "2022-03-23 01:52:36> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 01:53:13> Preparing protein table for parallel processing.\n" + "2022-03-27 01:56:55> Setting minimum occurence to 3.0\n", + "2022-03-27 01:56:56> Preparing protein table for parallel processing.\n", + "2022-03-27 01:56:57> Starting protein extraction for 3322 proteins.\n", + "2022-03-27 01:56:57> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 01:57:26> Preparing protein table for parallel processing.\n" ] }, { @@ -5328,8 +5249,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:53:14> Starting protein extraction for 3363 proteins.\n", - "2022-03-23 01:53:14> AlphaPool was set to 24 processes. Setting max to 24.\n" + "2022-03-27 01:57:27> Starting protein extraction for 3322 proteins.\n", + "2022-03-27 01:57:27> AlphaPool was set to 24 processes. Setting max to 24.\n" ] }, { @@ -5348,7 +5269,7 @@ }, { "data": { - "image/png": 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\n", 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V/WRVfQrWoP71crxay6Fzxr67bd6Sw+VX08/6VB0b6b/00ZyviLwDVkf891T1v99hd+Xk39GLOFw68HYcn0o/tK+IvAkwB37Pfxbg2zCD/+Ee8QyC4HIQNuuC2CzsXv+2Wxn4t+Vo2/B7QC0if2Hy2tSO3NZu3IHt9+5h5YZHnceLgDfZ6qU5ZM+8nO5bgA9V1d84wecH94BwXi42Pw48Q0xisPYmvLcCfvQ+HOvHsdrfR8s3Al8iLmkoIk8Wkb/h2/4j8CEi8pfFlEv+Ocf/LV8F1liUaxe4q4W/WIPos47Z9rdFpNQtvw5b8JdSgD8D3mSy+3OBTxSRt3LD9YVHHPK9sDKIk55bJSILrCkyicjCy62O2vdtgP8CfIaq/sgR2z9CRK6INZ1+AFbX/Z8n21VE3vuYU/kO4B+IyBuKyFOAzwGefcy+3w18qIi8pxuRfw784KTG+Bswg/ihGqo/QXDZCJt1cWzW87DM02eKyeCXLPpPb+/omagfBP65iOx5yfLfwDLwcAe7ISZi8OxjzuOHgLcRkQ93e/nPsF6cW8qRvRrhV4EvdHv6NzGH6wf8c97Hz+XDVfUXj/m84D4QzssFRlVfA3wItph8DZYy/pBHk+Z8FMf6DuCvicjOozl34N9ii+efFJEbwC9g0oR4rfH/Dyt/ejl2E37pbc7jxVi07bf8OHfDU4GfPWbbOwMvEJGbfq6fpap/5NueBTzHSwg+UlV/ApM1/mmswfLQDVxE3gAzrP/pLs7t47CyhW/AmkeXWESoHPOmiLyn//g5wJOBb5uUn00jT5+FfUcPYxLKn6yqz/PjPBVLmx8XZfom4Ed8+29iTbKbWQnT8/Br96mYAXglZqg/zfd7Yywa+PbAKybn+TF38Z0EQXBOCZu1OY9zb7NUtcUEDD4esyt/D/gwf70M5pw6Pp8G7GB24T8Af9+/t9vajTv9zqr6Kkwt7Euw7/1dMcGD8nt8o4h84+QtH4X1srwOK2n8CD8GWK/SA8CPT+zTiQOOweOHHF2WHgSPHRH5UuCVqvrVp30ujwaPUD1XVW8nr/l4fdZXYo2nJ9Kuv5+IyMcCb62q/+i0zyUIguBeETbrrj7rTNgsz2T9GvC2UWZ8eQjnJQiCIAiCIAiCc0GUjQVBEARBEARBcC4I5yUIgiAIgiAIgnNBOC9BEARBEARBEJwLwnkJHjUi8ici8n7+/AtE5Ftvs+9cRH7LFUru9Xm9t4i8dPLzi24j83smEJFPFJHn+/O5iPyOiDz5tM8rCILgPBN26vEj7FRwVgjn5YLj8zn2J7J+N0XkH062P0NEvl9EXi0ij4jIr4vIPxCR6m4+R1W/VFU/6Ta7fArwP1X15Y/2d3m0qOpbF9nf02B6wz8JqroG/j3w+ffurIIgCM4GYafCTgXB3RDOy+Xg7SbT2a+o6pcDiMibAi/AJgP/RVV9APjbmMb51eMP96j4VMaBU8Gd+R7gE0RkftonEgRBcB8IO3X+CDsVnArhvFxuvgj4OVX9ByXSpKq/q6ofraoPA4jIX/d09sNik3vf8qgDicizROS7jtn2NGxy7wsmrz1bRL5eRH7Co2w/KyJ/TkS+WkRe5+nod5js/xQR+QEReZWI/LGIfOZk244f73Ui8lvYIK7p50/LBt5FRH7ef5+Xi8jXuk582VdF5FNF5Pd9n68TETnJl+mRqz8SkRt+jh/j39c3Au/uv2f5Xh8Skf8sItdF5BeBN50eS1Vfig3JerfbfN/PFZHv8M97kYg8c7L980XkD33bb4lNCp6e5/NF5Cv8O/tjEfmgE/6OT/fv6BNE5P94JPQfT7bfs+83CIJLSdipsFNhp4JDhPNyuXk/4D8et1FEnoFNuv1sbDr7jwM/Mv2f/IT8ReCPVLXfev0jgX8CPAlYAz8PvNB//o/AV/l5JGyC+68Bbwi8L/DZIvKBfpwvxG6qbwp8IPAJtzmXAfh//DPe3Y/1aVv7fAhmWN7Wz/EDuQMisgd8DfBBqnoVeA/gV1X1t7Fo3s97NPFBf8vXASvgDbDJw3/viMP+NvB2t/nYvw58L/AgNi35ayfb/hB4T2wa8BcB3yWH67jfFfhd7Hv4cuDb7vLm/JeBN8e+v382WSzck+83CIJLS9ipsFNhp4JDhPNyOXihRw/Ko/xP+BBwu9revwP8mKr+lE+u/QpgB7vh3Q0PAjeOeP2HVPVXVHUF/BCwUtXvUNUB+D6gRLTeGXiyqv5zVW1V9Y+AbwE+yrd/JPAlqvpaVX0JdnM+Ev+8X1DVXlX/BPgm4L22dvsyVX1YVf8P8D+Atz/h75mBtxGRHVV9uaq+6KidxOq0Pxz4Z6q6r6q/CTzniF1vYN/dcTxfVX/cv6/vZGJAVPX7VfVlqppV9fuA3wfeZfLeF6vqt/h7n4MZp9c/4e8J8EWqulTVX8OM9dv5597L7zcIgotL2Ckn7NSGsFPBkdSnfQLBfeEdVfUPjnj9NdjN4DieAry4/KCqWURegkWV7obXcXRt8p9Nni+P+PmKP39j4Cklle1UwP+anOdLJttezDF4lO6rsHrpXez/gV/Z2u0Vk+cHk/M4FlXdF5G/A3wuFh36WeBzVPV3jtj9yf65dzrnq8DDt/nY7fNciEitqr2IfDzwD4Cn+/YrWJTplveq6oEHs+74e97ms6/Avft+gyC48ISdcsJO3fresFPBlMi8XG7+GxZZOY6XYTdkADxd+1TgT+/yc34d+PMi8mid5ZcAf6yqD04eV1X1r/n2l/t5FZ52m2N9A/A7wF9Q1WvAFwCPSy2rqv5XVX1/zND+DhZ1A9CtXV8F9Cc457fEokV3hYi8sX/2pwMPeQnAb/I4/Z534J59v0EQXErCToWderwJO3XOCeflcvOFwHuIyL8WkT8HICJvJiLfJSIPAs8FPlhE3ldEGuBzsJrfn7ubD/Gmvj/gcDr4bvhF4IaI/L9iTY+ViLyNiJSGx+cC/0hEniAibwR8xm2OdRW4DtwUkbcA/v5JT2LSBPj0I7a9voj8Da8pXgM3sfQ8WKTujUoNtqfAfxB4lojsishbsVX/LCJvCDwR+IWTnt+EPcwQvcqP9XeBtznpm73J8nmP4nPhMXy/QRAERxB2KuzULYSdutyE83I5+DU5rJ//1QCq+odYs9rTgReJyCPADwC/DNxQ1d8FPhb4d8CrgQ8FPlRV20dxDt8EfNyjOXm/iX4IVnP6x34u34o1+YE1+r3Yt/0kt5e6/Fzgo7E63W/BapZPylP9c46K6CUs/f0y4LVY/Wy5If408CLgFSLyan/t07E09CuAZwPfvnW8jwaeo6alf1eo6m8BX4k1lv4Z1oj6s3dxiKfe5f5THsv3GwTB5SXs1EjYqTsTduoSI6rbmcIgePwR04H/38D76ikMAHs8EJF/ArxKVb/pHn/OHEvD/xVVfeW9/KxjPv9Xsev0mvv92UEQBKdF2Km7+pywU8GpEc5LEARBEARBEATngigbC4IgCIIgCILgXBDOSxAEQRAEQRAE54JwXoIgCIIgCIIgOBeE8xLcERF5LxH5HRG5ISJPOe3zOQuIyMeIyE+e9nmcBUTka0XktSLy3SIS95QgCO47YaduJezUSNipi0VcwOAkfCbwEz5w62UAIvLeU41115V/s+mbXIf9u+7vqd4fVPW7VfUD7uVniMizReQTT7jvR4nI74rIIyLyShF5johcm2z/LhF5uYhcF5HfE5FPmmx7NxH5Kb+xv0pEvl9E3mCy/fNE5Dd9UfDHIvJ5089W1U8H3hz4m8DbPtbfOwiC4FEQdmqLsFMjYacuFuG8BCfhiZj+e3B2+VngL6nqA8CbADXwxZPt/xJ4uk8T/uvAF4vIO/m2JwDfjM1ReGNM+36q5y/Ax/t+fxX4dBH5qOmHq+qrgFcCDz2+v1YQBMGJCDt19gk7FTwuhPMSnISacQrvo0ZE3kNEfsmjLr8kIu8x2fY8EfliEfk5H1D2IyLykKd4r/v+Tz/JsY743P9XRP7UIzK/KyLv66+/i4j8vIg87NGerxWfLuzbVUQ+U0T+SEReLTbhOfm2TxSR50/2fYtJVOh3ReQjJ9ueLSJfJyI/5ufwAhF5U98mIvJvPAp1XUR+Q0ROPGW4oKovUdVXT14agDebbH/RZJCY+uNNfdtPqOr3q+p1VT0Avhb4S5P3frmqvlBVex8I98PT7RMy9rcSBEFwvwk7FXYq7NRlQVXjEY9jH8AbAa8B3u8O+ynwZluvPQv4Ln/+ROB12PTiGvi//OeHfPvzgD/AblQPAL8F/B7wfr7/dwDffpJjbZ3DmwMvAZ7iPz8deFN//k7Au/kxng78NvDZW7/T//DPe5qfzyf5tk8Enu/P9/wz/q4f6x2w6cpv5duf7d/hu/j27wa+17d9IPArwINY5OgtgTc44vd4GvAw8LTbXIO/DDzi570PfMDW9q8HDnz7C4Erxxzns4FfOGabYEPcPvWIbT8DfDlQnfbfbTziEY/L8wg7FXZqa1vYqQv+OPUTiMfZfQBf4TeQHzjBvgpc9xtXeawmRuHjgF/ces/PA5/oz58H/OPJtq/E6pfLzx8K/OpJjrX1+pthaeL3A5o7/A6fDfzQ1u/0Vyc/fxrw3/351Cj8HeB/bR3rm4Av9OfPBr51su2vAb/jz98HMzbvBqTH6bq9IWaQn3HEtsqNxz856vvAaoFfC7znMcf+Imyq8vyIbe+OpfLXwOud9t9vPOIRj4v/CDsVduqI7WGnLvgjysaCY1HVzwWeAXyAiDzzBG95R1V9sDyAL5tsewrw4q39X4zdwAp/Nnm+POLnK3dxrPI7/AF2s38W8EoR+V5xJRoReYaI/KiIvEJErgNfCjxp6xAv2fqMo1Rs3hh4V0/rPywiDwMfA/y5yT6vmDw/KL+Lqv40lv7+Oj+/b5ZJA+OjQVX/FPgvwPcesW1Q1edjkcq/P90m1sj6E8Bnqer/2n6viHw6VlP8wTqm9qf8Iyxat6eqr3wsv0MQBMFJCDsFhJ2abg87dQkI5yW4Lar6+8BvAm/1GA/1MuzmOeVpwJ/e62Op6veo6l/29yjwr3zTNwC/A/wFtQbBL8DSzVOeuvUZLzviI14C/MzUIKrqFVX9+0fse9T5fY2qvhP2HT8D+Lw7vOUk1Hit8Em2i8gbA/8N+Beq+p3bO4vI3wM+H3hfVX3pMcd8S+BHVLV/1GcdBEFwl4SdCjvl28NOXRLCeQlOwhqY3XGv2/PjwDNE5KNFpBaRv4PdBH/0Xh5LRN5cRN5HROZYecCSsanzKlZCcFNE3oKtCI/zeSLyBBF5KvBZwPcdsc+P+vl8nIg0/nhnEXnLO/0ivt+7ikiD1f+ueBRNp2J6/k/z528MfAnw3/3n1xOTqLwiIpWIfCBWf122vyHw08DXquo3HnVsLNr3/qr6R7c5jQb7WwmCILjfhJ0KOxV26pIQzktwEjKP8W9FVV8DfAjwOVhT4D8EPkQPK4/ci2PNsbKAV2Mp8dfD0sYAnwt8NFb/+i0cfcP/YaxR8VeBHwO+7YjzuQF8APBRWMTrFVjUbH6CX+eaf/brsHT/a4B/vb2TiDxNTN3maccc562AnxORfUyO8neBTy6niBm8l/rnfAXW8PmfffsnYbKVz/LPuCkiNyfH/mJMWvKXJttvMR5YnfJjVvsJgiB4FISdCjsVduqSIGoNTEFwLCLyPcBNTLnj0vxPLyKKper/4LTP5azjEb8/AN5BVX/rtM8nCILLRdipsFN3IuzUxSEyL8FJ+Crg7YFXlSbCICiIyNcAvwB8cxiEIAhOibBTwbGEnbpYROYlCI4hIlpBEATBWSbsVHAZCeclCIIgCIIgCIJzQZSNBUEQBEEQBEFwLgjnJQiCIAiCIAiCc0F9Pz/sSU96kj796U+/nx8ZBEEQbPErv/Irr1bVJ5/2eZxFwk4FQRCcPrezU/fVeXn605/OL//yL9/PjwyCIAi2EJEXn/Y5nFXCTgVBEJw+t7NTUTYWBEEQBEEQBMG5IJyXIAiCIAiCIAjOBeG8BEEQBEEQBEFwLgjnJQiCIAiCIAiCc0E4L0EQBEEQBEEQnAvCeQmCIAiCIAiC4FwQzksQBEEQBEEQBOeCcF6CIAiCIAiCIDgXhPMSBEEQBEEQBMG5IJyXIAiCIAiCIAjOBeG8HIfqaZ9BEASBoRr3pCAIgiAA6tM+gTPH0MPQ2UJBBKoGqviagiA4BVTtfjT09nNV2z1J5HTPKwiCIAhOiViVTxl66FtA7KH4z4QDEwTB/UUVupVnXNxZGXrIGZp5ODBBEATBpSTKxqYMHSC2KCgPZIx6BkEQ3C80ewY4Hb4fabZHEARBEFxCwnkp3K6mPBYKQRDcb3K27O+Ukm2J/pcgCILgkhLOS2ET2dzGI59BEAT3k5Q21WIbitMSJWNBEATBJSVW5VOqBtAxC1MyLnVzqqcVBMElRJI9SvmYKpDH14MgCILgEhJd6FNKU/7Q24JBkjkuqTrd8wqC4PIhYo35h9TGmlAbC4IgCC414bxsU9WhLBYEwdlABOqZPYIgCIIgiLKxIAiCIAiCIAjOB+G8BEEQBEEQBEFwLoj6qCAIgiAIgiC4TKiOg4+TQKqtVFnz2GcpyVopzlifZTgvQRAEQRAEQXBZUIVu5SqWAoM7MkXhcsMAeTDxmDPkwETZWBAEQRAEQRBcFobOHBdJPucwTV5nIsnvmZgzNqw9nJcgCIIgCIIguCzkzK1TkMEGs09eL8/zcD/O6sSE8xIEQRAEQRAElwURLMUyofyour03Rzs6p0c4L0EQBEEQBEFwWSjzDIujooplXSrzUw69DlRna1j7HZ0XEVmIyC+KyK+JyItE5Iv89T8vIi8QkT8Qke8TkZiiFgRBEARBEARnGUlQNYB6P4uaQzNbeK+Lvy7YkGQ5W7mOk5zNGngfVX074O2Bvyoi7wb8K+DfqOqbAa8D/u97dpZBEARBEARBEDx2RKBuYLYDzcL/nUOq7N/Zwl5vFmOW5gxxR+dFjZv+Y+MPBd4H+I/++nOAD7sXJxgEQRAEQRAEweOMCKR0a5O+pFtfP0OcKA8kIpWI/CrwSuCngD8EHlZVn2LDS4E3vCdnGARBEARBEARBwAmdF1UdVPXtgTcC3gV4i5N+gIh8ioj8soj88qte9apHd5ZBEARBcI8IOxUEQXB+uKsOHFV9GPgfwLsDD4pIKYR7I+BPj3nPN6vqM1X1mU9+8pMfy7kGQRAEweNO2KkgCILzw0nUxp4sIg/68x3g/YHfxpyYj/DdPgH44Xt0jkEQBEEQBEEQBJxEQuANgOeISIU5O89V1R8Vkd8CvldEvhj438C33cPzDIIgCIIgCILgknNH50VVfx14hyNe/yOs/yUIgiAIgiAIguCec7amzgRBEARBEARBEBxDOC9BEARBEARBEJwLwnkJgiAIgiAIguBccJKG/cuHKuTBnqdkk0aDIAgeLZohZ3ueqjM7tTgIgiAIzjrhvGyTM3Qrc2AKdQNVEwuOIAjunr6DvrXn4v+pZ1DF7TcIgiAI7pZIKUxRhW5tz1PyrIvY4kPz6Z5bEATnD812/xA5nMXt28MBkiAIgiAITkQ4L1M024JimmERsWjp0J/aaQVBcE4ZBuCIewqMpalBEARBEJyYcF6CIAjuO5F1CYIgCIJHQzgvUyRZlmVazqFq64yoTw+C4G5Jlf27fU+ZbguCIAiC4MSE8zJFBJq5Pc9FHUi9WT++qiAI7pKUrDlfdbynqEI1CwGQIAiCIHgUXIx0wuMpbZwqmO3Y8VRHWdNYaARB8GioXamw9M3VTWRdgiAIguBRcv6dlzyYtDGMZeSPVdpYJMrEgiB47Kia09J3WOM+0GXL8IYDEwRBEAR3zfmuhVJ1x0Us2xLSxkEQnCU0myyycDgr3K1DKjkIgiAIHgXn3HnJlm05SoZ0CBnSIAhOmWHAgitb9yjVCLAEQRAE9w7N4wiQ2+6nYz/mOeFy1UblYVK+UUFdRyN+EAT3GMVSL0yMRLbsS5SPBUEQBI8nmqFrbc0r2Dq3nt1qa1RtTTx0bqLEWi6q+sz3eZ/vlftx0sYoVFsXqe+sxEyHsQ69Xd1d9FPVSkDapb03hswFQXA7qolUcrnvlPuGZruPlEb+UmLWLs2xiftLEARBcDeouv3ILjaVxte217tDB7kb9wOzQfnsVwWcc+dFoJ4DRYZ0mMiQTn41VbtIpTdGBJJYQLTvT/ZZqtAtvZ9GzQlq/ecgCIKjkGSRLFXI/VjmmqpRyXDo7N7Vrsb7S+4POzZBEARBcCfUJfnTpFy5lCpP2ylKMI2t/QQY2vt91nfN+S8bq2pbBOTBLlqqj5A29mzMdomYYE7ISRh6yGpNt+Ob7SKfgxRbEASngIirH9aw3odqEkAp5Gz3F+XW+0vfjU5OEARBENwO1dvYi62eliP3lVt2O4ucf+cFTiBtPKk333Zq5IT15qV2cPtzszfenvQ4QRBcLkowpar9XiG3bj/2/uKDcm/ZGARBEARbpDS2Ushk7Qu39rxM9y0ot7ZdnEHOT9nYY1FDEIHUjHXn5XjKyee5SLrVG93+AwmCIIDDjfmFejZuK/+q+kyqxNFRMQjHJQiCIDgRkizbXxQti51J1eHqI/HmfMWD8G6zBBOzOuOc/TMs/SrT2u9Ho4ZQN17LV8q/5Gj1heOoajuPkr0pfxhVKJYFQTBh6K3pER2jWLWrilUz73Fxx6Seeelrgm44fH9BLegSwZEgCIKgUBySW1oknKoBkvd6YzamPsKWlPXr0I3r2XOypj37zsvGcZFJ01F3glKxLcSdlao5/NpJSclkTft2nC9T1S4YEARBgEWuunaUp8SbJHUNs8XY/1LYNEpOHJuSrUmN7R8EQRAEqtCvzaaU5Ws1u9VOqJqKWLElCugxAf+UIJ2/dezZdl6OU0NQ7PW7cV4KjyWKWcQBSg16RESDIJhSMsTT+xWMgiLbzfpTNo5N3F+CIAiCLfrWHZdpMH/tDshElr9bA5P+Ss02KmS2c2HsytnPDR3LPZBDOEk/TdHDviB/AEEQPI6ogmzdR7abJo97X9k37i9BEATBlCKhL1vBfOTwyI7tQNlmhoteqNlhZzvzAmOm5RBqksiPF33nA3wGwGcw1M3Y4BQLiSAITkJKsG0fNrXJR8SKNNv9Jw+H90s+HybuPUEQBEHpoUxHSBsfFczfNOyX9yrQmW05Bz0td+JsOy+lT6Vb+xc/uUiPpmTsKIYe1gej7HHuAe+zqWtbQBSVoCAIgttR1XYPKdONi8GpZ7c6IpupxzqWwpaSsZTMqZntTGa/BEEQBJeTSanY1JZotr6XzW4uf1yyLFPFy6GHNluvdlWPDk72fbaFsHL2NTFnrpH/bDsvYNmPZuELAlcJezwjku2a8Y8ij7rXxWPtO8vyxAIiCII7IWL3q6H32S0y6ZXbYujdECVrrpzOcykGqFvDfOd+/gZBEATBWWM7mF/WrJJuFaIqwfijD2S9M5LcTnWgk6HrxbHpWy9H8+P0vu2MiMicfecFvBnpHmU/tB8XCoden/xx5P7efX4QBBcLEb/B3+kmP7nn5MyhyBo6Dq+87cTkIAiC4FJQMiNDP2ZctoP55XmqxiHHm/aLqc0ZRuXe5L0zqu7YeB/NtNy5bLvbMSX3iPPhvJyEnP2Clmhm5XNc7pAxkXqcbj29HpuLs70hCILgUVL0+YfODEHOh+9RmyCKHPonCIIgCEjVnecTTpv6lbGEuVDKyoRbHZ+cx4zL9lDL0vT/eLVtPAZO/wweKzmb7nXfjSm0VAEDdEuXhruNAzObw2rfnm8WDi4IkDOH5OaCIAgeDSVqNXQmdWmdl7Yt53Gycel3Ke85arBYEARBEBxHVY+ZE2XswSxr4eRCVJ7wP4yci6DZ+XZeVE27Wj01Vhr6dbCMiqpdwOY2A3iq2hycbjXKyWlynexSjz5YHXuziIVEEAR3T9/aPaak8YFD95fsSodV0erPFkAJsZAgCILLQ8l86OD9LPWdMx1lrVua60t2JvsxipIueF/mfJRenpYll+dV48OVt7aVY58BzrfzMm14ZRgl5KY141OlhW1KQ2y7YrOgkMqalsCPK34RVy6hHIuJIAjugpJ1ydPaY7yfZaLPXzIvVW3GJWTagyAILg/Zh0kCh3pQ4HgHpgTx86RKaPBe7mZRdvJDTueIqTkpfT+uk4tjk5KtdYf2cD94PT8zNul8Oy+HtK1l/JLV+1+Q2ysjDD20y9FJyQP0KzvOtAlKGecxhPMSBMHdUPpcxNPxqmZotAyEmfTX6TAqHKobrVSfmSbJIAiC4B4xeDBr2uqg/nqqjrYBebi1d9I2mGk5LlNS1Muq0iIhYzkZ2Nq5qkfJ5eM+/5Q4385LKfPCvclc5iQwZl/yYE7KUV5rt7L3bpwdRr3rPHgJx1Y2JwiC4G7Y3PAnfS6H7iXlHub75R6GtWWBwSJvqtBE4CQIguDCokc0odyxguiIbUUqeVtF9ygkQXVMX3iR+j+DnM2zOimbur7tpnrxbS6B3K8Pz1yYSr/htYKTZn1VtUamTbRUkFIHGARBcDeImOPRrrxULB9tcMp8KQT6AZpJpGvofF5MzJsKgiC4mHgLxNSBuZNU/lGCVLoVEJuSs7VLFEnksiYu88jOUHbldpxv52UzEK7z1JmnvMoFKHJwmiGp/T30rWtj+z7d+tBCQqcTR0uZB4LOdpEoGQuC4NFQzSD13vtS1Mam6KSMDHvermC2GO9lmhkzN0EQBMGFoq6hG7YyJgrpNqqTJVCfdfR5VH0dvGUvVGF53RUvMZvSrX2WoicDFnu3V+g9I5xv5wXGur2CTrMwOjommyxMB+ulOzIuhTyl1KeXUjQpdYCjnlkQBMGJUW/CzP3hjMumR2+rmZLJ/avvxnKxcxIRC4IgCB4FRRSqDKEUMcfldqVbpcm+78b+lKo5Wma/W5njIsmPjzk9OY/Kl+sDWFy5Z7/i48X5d16mVPVE4lhG7zJVo7JYaYgappKlE3TyupR/kzfY5rEOPQiC4CR07TiHqvTYbYIkTsmubNL2E/GRrB5AOfvRsCAIguAxUKSRp0GtOyFplD++3XvK7BdhK7A/CaoNXq10xu3NxXJeUm2/0eCypDCmw/pubMrfLBzKBbMLrZP/mgPkTs/gpWZBEAR3w0Z/fwDyqDSWh8P7Facl94cdGHXHpZlF5iUIguCycKf7fRGaKkpj037uoygB+O0ecZ3WFBW7M3npjHKxnBeRUd4NNQemW47DeNDJkLhpudhW+YYdjE3ZmWabx1C0s2MREQTBSVF3XGDsz9smZ+vD0wwqbJotNzNf4p4TBEFwqVG1dehQ1qN4ZRD2c7M4LOqShzFwXwYhb9op5JAolR0/n5s17sVyXgrixr8CdGZNskMe1cVuJzsHo4c69GPPSz1D2qVtb+b3+BcIguDCcFSfy607+b/TiFgRHoly1SAIgktP33oALE9sSbaqI7xKKPlgyjxYf3ceDs8US7X3X+o4d0wn1QC1r5nrs53tv5jOy5R6ZmUY7coU6BRAUM3cUnMOo+NSKIplhXZpzVAhWRoEwZ3Ydla2ftZNCWspc22QkvoXHcvMjhs0FgRBEFx8ch6rf8oAypI9KRmU6Vq1W3vF0YShd8dl8pqk8VipNO3v27YzHKi/HCvwofeJ1d7VsnFQdHyUP4BDzbSTxcP6AB16O9b65p2zN0EQBMUolIzKJJKlqp7+97R+30K3tPuM7eEZ4O5WJygIgiC4PBR1sM0IDxjXqF4WtmnZLmNCdKxEUsaMy6G1r69lq2ryXlfIPMNcfOdF1RYFZDRVaB78QudNFmasAyz1f5OvJbl0aZE7RaHvLR0XBEFwOw75HMnT+6DDMFEgmxiR3EO3Gh0YkVuzwUEQBMHlQmRiT9IYbN/YjmH8d3toO1hJ2bTHZbtpf5jMl9FsP+eza3cuXtlYuaDlQgwd9B3atdAfHki5aY49VAImVh84dWJK9DQPqAqSxIfN7UT5WBAEx6OuBDOYg6IiruG/LRoyYehcOXFmJarbsspBEATB5ULSWNYlk6B72VYe7crKvVLlWfvi4BwlTAWg/pI38QMynZV4RrlYzkvJsmxmuUwUFrYdl/FNLgsnkMQaY7s8eqil0akMjysea1F9SCGhHATBEZT7kSpIsnLVfl023v69ZWhYudec4cbJIAiC4B4jYmpi/Xp0YLRIJJd1qZcZt57N37zWH3tY3SjwjqXNWjVIPbPPOaP9lhfMefELV5qYSg1g3x5fdqFAbu15qnzBUIP25rgUDexN9uX8SMkFQXCKlCnJ5f4huOrhpAzsqKyKGxzNAxIDKoMgCAIYHZgydF2H0TaUgHoG6hJgH7b6uA+j097uaWCeQ+7MmeRiOS+DZ0mKp7lpwp8oMCjjggLfpkVprIcq+T461vsJNjOmanx23AD1fGxwCoIg2Ca71HpVWSAl92wkD0XsftX3bMrHpBrLUDWP762bCJYEQRAERplp2Pr8wuJ0lKHGefDWhrImPibTnzMb+7MJtJV5Y3nTo3kWObtn9mgomtWbYTxy2HXMkwakctFUMd0CK+0YMzTT3hg/ztCi9cx6XtIdppkGQXDJ8ZtPyeiul4czLm2LOTNl9wxZrM+lTrDY854X2BioIAiCIJA0zmQpolJgAa+p4wKT4ezT98utr6kCHtBP9Znu6b5YzkuqIS83Neakaox+kiB7L0zJxpToJhPvdNtBLbJ0OsDgF7uewWwRi4kgCI6nqqGzTItOGyYB2rXdjza1yGJZ36oeU/2r/Uk9c7J7zhmtPw6CIAjuIyIu6lKPzkm78lYJtyubcrFb2yY0H5GN2WRwMtRn2z0422d3t6Rkkcp+zUbLWgTFh/rAZEjPZDDcZlExUR4rjoky9rhkl6Gb74bjEgTB7Ule8tW3470DxpR+3x7ev/cevdrvNe0SXVxBqtqMyXoJi93I+AZBEASGJAt8ATRlNMh0buFxb5ysf8t+GwnlCmk9EXBGB1VeLOcFoJlZliQr5A7tOmtsKk5LGeZTmAzz0emcl1QhVTWqNUgZ4JNRBCmladt62UEQBDBGxlIFyxvQ+9Cv9gjHpTB0dv/pWw/EtN7zksZevjoUDoMgCIItqsbszWp/8mK2te00878Jzuu4Hi7lyYr1dINlcor9OWNcPOclVW70D2wIXB7GcrHsDbJT58W9T52qMohlYJSZycWBvV55b8zq5iRD4+UcZ/DiBkFwyhSD0brjkrMFU277Hm+WzC30zUQqOea9BEEQBMewGWRZ7EUpMppUGsGYZdlW4S37dSu0qq2/e3VwJjP+F895EbE0V+eLhemk6q61ydUbJTH/d6q4ULIp2Wr/NNVI8qhn8Ubx7ExJt3VrmO3c398zCIKzSZGsHDo2kaxN6dgok5zzAOuV7dvMoJ4hKSHFyJQJxyULA9HzEgRBEBxP322cGNXsKpewWdsCG7tUAvaHcKemXaHNHKGFtZy5domL57zA2KAPIH5hco/mwbIugz/It16MTe1fAga7gPMdRCoXMKtscbEZYomXneUz55kGQXAKDJ0ZEBizKMU+eNAkr1fw8KsmwZUE8x302hNckn28L+nQmW5ZEw37QRAEwYQSRAezJ+0B5IxuK44Vh2WqIDaZ67I958Xe69Ne+taSAtXZcRnOzpk83tQzWN0wyTdVGw6XszXFDqWcbCwT04kDIuUipjTqac9nLh1XWaalbuwzNuoMnO2JPkEQ3HtUPePCYcel9MzlbHbm4Veb4hgTx2boTOayWbiBmQzDFcb7TRAEQRDkwUuSvYpo6CAr2rUcmm946D3Z7ct00VoyMf5SEamSZPuWAfDhvNwHqjR+8dnr/4bBysmKR6mK9j10LZaFARA01VDVpvKzPrCSsMaGUloJGX4hvZTjUDouCIJLyyYFX6Jhfu9pauhMdl37ldURl3tRiYY1M9i/jl59ot+K7L4iqR4HhxGZlyAIgkuP6ui4iI8CUVxN9xjHZaMsNowVRhsfpqiP+b7JfygBuDPWb3nxnJdhgG7pTbETueTUbBr4N1mWtgP1C933lpXBFxxVjc53oZkhqxXsdiAtOpshpd8lD77oiJkvQRDg9wGXOp5GtcANzGAZl3Zp95xiTCSNEbHVAexdteyuDqgOSJ4cJwiCILjcTMu6hn6jmjumUJyp07EZ1C6QSsN+6QFntF8yABWC2HuKitkZ4mI5L303yax4yqs06LdL63vpe9tH83gh+25spC2lZEWVTPdgdmAZGF9oaN0gpWysnp3pKaRBENxHRHzQZH+r0SiG4PproetsbsswjO9rZnbPapfoaonsVjBUfk9iNDBBEARBsJE6nmT5y/DJyRgQYBSp2gTLtgPuZUh7snYLelTV2iiKiu8Z4uI4L1qG88jYx1JZqYX2HRxctzrA9sAuXnFOitOyLrNg7BBUlTsrgs52kKG3LE3uoFdUZFQFCoIgKFQN1OrDcicqhsub5PUaDm7Cwf6ts16Gnk1z5PImWs+sZEzzOOyymUeWNwiC4LKTKg45I0lGxwUZh7FvHiVTg5eNHWFHREA8WDbgWZca5jtnLkh/cZwXOFxjntV7WbB/dbBIZ5l0XbIt7QpWXje4macADDIqBq0PUM1I19vCRL1crFvbseZnTwM7CIJTQgRmc7tHDK1lV5LXJLdLk0fu21EKubynqqxkbLWCnd72nc0nVQBb96ggCILgciIC1QyGJWOZmGf++47NSJBDg9knfS2lSuDQ/DBX6i0zYIYOrjx45krG4KI5L2ALhMHntpTI5tCjXTdexHZtZRvdyhcQw3ihp6UelV+w2cz+GKp69GKHDA2e8eksIhoEQVCoG7tneLBES7a3b73HrjucmRkS1BlWB+jyAFnsToxQP6ofBkEQBEHdWIAs4+vbHm3XE0Xd3rMxk1KyMttFFe3WprBbu5JuydCkyucdZjQrMpVTPiNcLOelOBWefCmOiKBWOlaGwq2s/4Vh8KwLo+Tx4Km10pQ/DLDYRddLmC28VEwxiVN/fkhLOwiCwNn0wHRjxrfrLON7KFjiDZTg+603wZfNkNyNnPvZi4IFQRAE9xlJkBrQDnKH5uzlx94OsQnOe1WSB8t0OqhdxIa3NzPr5QYXj/FxId2KzRD3qrZh7WfAibmj8yIiTwW+A3h9bNX+zar6b0Xk7YFvBBZAD3yaqv7iPTzX25OHsVdl6FynGhiGcThl35vjMvTmxLRru7jlIneda1yLLRDmc2uiXe6PZWaDe6Wb6aTpzNUCBkFwhug7WN20+8f+Ddi/6fedST2yiNcgl3R9i67Xk9FR/qxbW5lqEARBcLkRgdkClv3h5n2RMeOvk0C7Mjo0UoZWeqmYKioJqbyXJtW+FoaN/SlCNGdAYfckmZce+BxVfaGIXAV+RUR+Cvhy4ItU9SdE5K/5z+997071JLgqQh5QZLxQ65U5Mwf7toBYHlhteXZ1seXSLuZU+Wc28yinWHZmvbR02mawJWwk5s6YCkMQBGcEVXR9YEGUoYebD/u9RC1YUpyYMhR3ht2ndrxkTJIrvvjx8mT/IAiC4HJThqqXkjDY2BfN/bjOzd5OUShJ/+z2ZOihW6NpxxTGancPpB7tjXJmKgDu6Lyo6suBl/vzGyLy28AbYr/GNd/tAeBl9+okT8Q0++G1eiieMek3M15Y7VsmRRXa1jIxfW/vm0qR9j0ssjkxVW3ypX2HLHw/SUBpzI0yjiAIjiAP1odXZJK71u4fXWcKh4VigPoebjwMV6/C0NmMlzKcMveYdxMEQRAEE8owSbBeFR3MIRmKAzOM2+0NWBTe172lz6VqRtn+qkF6n5lYNxMn6fSVdu+q50VEng68A/AC4LOB/yoiX4HN4nyPx/vk7gpJ1jTvDUiQxyE8qua05GGMdh4cjAuJnNFpGUeZbD0MY9PtzRvwwAqu+CIjVfZoFqf6awdBcIYpJanJpSz3r5uDspzMeAHbXrnxeORheOCJcOUJbnyGMQqW6si6BEEQBMZmMKWM/d6lKqjvrXdy0qivfXt4/kuqzUmpFHTpA9r3EElIcWj61gWsvKLpDKjrnth5EZErwA8An62q10Xki4H/R1V/QEQ+Evg24P2OeN+nAJ8C8LSnPe3xOevjqGfmUPQdUnXoct/q/YrCz+Cps5s3rYG/be2xadSfkBK6WCAH+5Z9We5b3boI1DNrot1cyHv7awVBcE7JNuRLk8ta3rwJBwfo2hUPS8CkqqBpkPnc7kmlxHUzWKwEVU7faFxE7qudCoIgeDxQHwnSd2zSKqVnu+82josO/Zj51zwGxYpdqWt0tgNVbU37e2oqvTn7WpcxCFcyMKfMiZwXEWkwx+W7VfUH/eVPAD7Ln38/8K1HvVdVvxn4ZoBnPvOZ9z7XJGlMlW3SWxMVn5JxOfB5Cq1nX0rZRl2PAyqXS/NN1ivrk+lNzUEWV+2YgzfiNrMzo8AQBMFZQqFqUDE9fd2/YQ5M247GAzY9L9p1yN6ezXhZHVjARUtgJY2KZMHjyn23U0EQBI8F9TmFfYtVGiXvk3Q1scHVx9rV2KdS2iemI0LAjtF1sNiFukG6UYVXm/mYgWnmVlZ2Bta6J1EbEyyr8tuq+lWTTS8D3gt4HvA+wO/fixO8a7q16V4j4xcsPnm0XcNyH12t4MYNtG3tIhdJ5ZQ2joykNDoyB0vYm8xbWF1Hdx6wpiYYlchmO2fiogZBcEZIycpOUw0Pvxpu3ID9fXQY0DyqjUly1cK+t/vP/oEJj4gipRWvqkMcJAiCIBgdEQASmmrIZje4+bC1Qqz2x9Llkp3JgwXF2pVnXtz2DF5WVjdevVTbercTtMgonxHHBU6WeflLwMcBvyEiv+qvfQHwycC/FZEaWOEp91OnXY0N+ACoJdN8cI+uVrBckldrtM9+Lc0rTSU91lSkuoa+R1StfKzv4MYj0K7RRY/0rWVcSrN+zmdCgSEIgrOEmOLL+ia85pVw8yZ5tSa3g0XFXCRE6hppXKbyxg3Y3TUbkSrrKASY7Z0ZwxEEQRCcIkPv8wh9vVsy+XmwAP7KHZlNr7c37netrYc3A5IZG/XB5yB6s38e3OY0ppKZB5PqPwPlyydRG3s+x3d1vNPjezqPEdWxxq+ccZnjknsv/erh4IDcDWjbo12HDpZ5yYBUgnQ1Oh+o5nO0bZHl0uSW1/voemnqP7kHmWRaNlraQRAEjL12XY/kHt1/mLy/z7C/IreTHjtVpBqQrkLqysZVLZdmaNZLILmR6gi1sSAIgmDjqGxKwta2Ui+VQKUxv+/s0frg434Y16tFYTelse+7ntl+TXNYWUz8M7u1VRmdMnelNnbmGazkQosTk023muwzFfb3oW3p2468atEDKwXL5QJ6uZh0HbLu4MFERQOrFdp2yKBwcB3y61kJR2FzcU/fGw2C4IywSdNb7bH2A/3+krzsoR+DHTabMgM90iQqgWq9hipZFCylsfQ1CIIgCEQs61LMQlmH6oD2g/VKdp1lYHrPvPT94cqksvYtfd+99XDragnzXc9auKBVzlDhkv2nz8VyXtDNkEoAHTqfp2BDKbVtyTf3GZYdw40lrDoYvLnJkVmNNBWSBH3NTXjSVeq+HyeX5mxDe1JtfxxFgq5qDs+aCYLgcjPJxtqAyuvk/RZd95btVT1seKqE9glkTXpCT71ux5rm5P13QRAEweVG1YVcEsjUgcnokK1sLGdTyR16myk29K6uW2YgtmPpWUo2s7BurE+mNPkPvdsdHT/3jATpL5bzkmqXPXbvsl0DPlvB1cWG9Yp8/QDdX6NdZhiyrzFM0pRVR1rU1LtzKiqG6wdUswbJGdpus4CQVI2ebu0XPQiCoJCSZX7xzMnNfXQ9oJ1Fu0o2RnMRDCklqGpKiDevm2jIMFhQpp6f0i8SBEEQnBmKim7dQOdZkyTQ+kB2Ve9dydbysHSVXTBHpmsPK11Wle27UFiL94533nIxViaRe2j2TuVX3uZiOS9gX26p5cuDTRntWndmWvLNFXnVoV2mXfcMg/ru6uMWhKrPDF3P4sErpBa0H5C2szIOEejWaLtGSk1gEATBNlL5zX9AJKF9ZwowQO468pA3mV8RQQdFkpCXa4aDlmr/wNL2qrDYi8xuEARBMI72KHNaypzK0qyPmNPStTYQuWvH4ex5GB2SzaDK5Nn/2h7rJdq1bn8m+1aV9cScAS6W89K3tjjI2WoBRUZvUxT6Hl11aNfRrgfadqDtlL7Pk1lxQlMnZoMCN9l56Cq5H0itNSmJVO4Mre0il6ao3IdUchAEhmboVtanoj3arcntCnpl6Af6Vc/QZ9brw8GP3d1ELTXd/pJZ32IDKjMqKWbhBkEQBJth6XRrF3MZAO+L7AebE6bqWZa1ZVH290dFssHVLifHk77fDEvmYN/aLYrVqWrL/s92z8wa98I5L9aH4tmXJIB5prpek1XRQelXA8MwsG6Vrs2oqj+s4qxrB4ZcI6L0qzWp3/NGpw5FkOyOERnUszFDB3l2uJE/CILLSUm5+y2IrmW4uSTnTLfs0Kys1zree7BdDw5gkVvmB50dRxKg40ypIAiCIKgaNsPS+w7qZJVGufeeFVfFbVs42Ee9+mjTfF/UxVwQRudzZH/fel+WN2G9JKMkqcaRIOnsrG/Pzpk8HpRysU3zEmb8hwH298mDwqDkAdp2YL0a6PrMqvVZC/5omkTOHVWaMVv15K6z0o4k5tHKE+xilqapXJmjlIdwXoIgwFTG8jggDGVYrcl9ZuiVts0Mw0DbbpedZnJOzHO2bHGqzkyDZBAEQXBGEO95UQVayJ55ERnLwroebt5Ai9ruVG1MxHoqS+lYzqgIslpCM/cKow72noA0M7Nj633bdgaGVV7MlbZiF6R1hYWVDa7sb9ykW60ZhoGb+1Y2tu7HyCeY85LbgVwn2q5naCvyyqOglQ/qkdprDsvnDaA1x4/DCYLgUiGu0KLY/aFdo11H13b0fs9pWz2sdOjGYL3O1g+zXMLQo3VtQ3Kr+tQNRhAEQXBGyO5QiFiQa7MmxZyP9RJdr81xWS43PZeAZVx6qyKSuraf12tL/+/ueRlSD7lH+96C93mwMrRhgNniVO3RxXNe6rmXcA0+EbQHUXLfw/UDtO1ZrXq6LrPsMoMqbVbKJa2ARkx9br3O5D6jmtGmGSOpmu0Cph33dnwKaWRdgiCAsUZYBjMqfUvqe9qVOSv9kOk985JdbSwloUown9esl6tR3pJkBqpqLOqVqnBigiAILjvdahzE7i0SpAS5s9KxA5ttyP4BuetN2dJLlcVbK6QpipbWV6nzOdJ6o/+wRocOGTpIc3eQkq2rT7nS6GKttkXG2QplUGVK1quyXkM/MLQD6zZb2YYqy6z0qgweAU0itAqDZqp2IGdIJEuvLW/CE59knmjXIouJZJxiTfzN6XqjQRCcAURgcRXydYtQ+UtWTZZZLjvWayUzqo3lrAwZUuoZlmlzD5MqHR4MVjXQnA3FlyAIguCUaE0wSkup2KafxUaF6GoFyyV910E7oMOAtjYXRpJVD0mToRGq+Rxdr5GDA7h6zea9HOzDA50pmE0DZ0XZLJyXx4EyLBK1i4nNUaBdwf5Nv2hWKtb3mU4zbVbWw0AHm8xLUqUBJCVWXbaZlE3lfxQWRVXNSJGPw/W1i/JYPfOSkSAILjUpwd41e37lAaspVnNQhkHpstKpOTCgJCzru2oT/ZBhZ9fS+qVZskw4HryELKSTgyAILicuw2+CUVbeteln6V0WuW3J6zV56QH8zocml94YEaTNSCOQKipqKy9br5Cug/1HvGfTey+ngfnoeXmcyAPopFFp8LTWaoneuI4uW4Yh07euKqawHgYOstLDocxLByiZRoRUQWoqKyWsGx/ug6kz5B6RBNWCTYNu30GTTv3CBkFw+mjOFsHafSLa9fSD0vcDq1ZZq6JM+l4ksVYLoGzUEgW0bZGd2kpUUxrLVwnnJQiC4FKSFVKyPhYdzMnorbeSg310eYAul/TLNXl/RV6XHhZsDVtbw36qkgn0djdJT74GfW+yyeoZnKyW6c8+sFLwNonTHcx+cZwXVbRf+4AetYzL0Fnfy3pFbjv6dWcRz3YgAytVVjnTAf2kcbYWYVCYpUSvMKx7msXCB/nYlZdUGvRdqo56LFUrGtzhwATB5WZ5wwIaL/4tctubOEiGtSq9ZvJ0X81UwDInqrpG1y2SKrj5OsvCnKGoVxAEQXCKJO8/wYZVau59EOV1m9HStnCwJB+syMsWXfUM/WATPoo2f2qpdhqq+Qzple51N5k9dNUyN0PvIjEVpIbNG1NlJWSReXmc6NaeffGoZbc2j/FgiaQETYV2A10/MGSrM785ZPb7zIFCqShPwEyUIQm70nP94RUPHnRw5eqo9lNV1gPjfzSb6aZF8aGUdUT5WBBcTlTRvoP965Bb+LOX0K/WPjeso1frucsKkwJUVEDIVE1FXq9JpTTAipN9onIxWkEQBMGlpDRR9q7+1beWGVkf2M9dx9D16H6HLjsL2g+ZYfDSMUvcMLSZatEzu7ZL6iB3A9XgjtB8x47frSz7kpIH5k/f/lwM50XtAtqllNGR6NY+eRRSqhi6TN9bydjBMNBl5bpCN1EbA1gDKNxMyiM3W0vLNTOYzTCHZeLtiiJUo+a2pLFhKoXzEgSXDvXMb3swqrIMHWnwoMk6MwC997y4a+I9L4ImG5QrB/t2HB+gK2TgbES9giAIglMkZ3Mq1Kt/1JRx6T2IPwwM+0vyuqXvevrOhKq6PjMpNKKuEvMhk3WfnSdcIfcDVduBJBOL6Vv7nKqCfmVr22Z26uJUF8N5KRmXIlfcrc3Alwb71Qo9WLnssdIC+8D1rKyGzGprTlwlkDLsZmXdKW3bsatqF6+qbBHRrTcNT9rsWE/M0EdUNAguO0NnQZO+x1LtoPUMEej7zFpNHvnAVQ6nM6Z6YDdDtx7Q1RpWB1ClMV2fUjTqB0EQXHaG1noqtWcjkwzWK9n3aM5o29MvW/pOWa0G2s6GJE/pyORcsYPS7axJ/cLmuvQDipg4lWZArEygFuv9rupT7Xu5GM4LAG7cK59237WAwGIXViuGgxX9kGnbgeyqPweDlYzlrSNlhaVAr9Cp0muyqaNZfQpphRRZ5CTmmTaLcSAdeSOPGgTBJaOUeWkpY80wZMuodJmsyo1hoPV7z3TOy6BKnUDVhodxcLBpxGS+40YkCIIguNRkPLPvrRKAFx+jN25af+WQGToYhsxqnena3tpZhryRS65rIeeMyIz6oKVadzTFYfHMP3Xj6mYKOdlau+/CeXnMSPL+koxUDZpqdL2EOkHTkNsWWmvW773fpe0H9jObOQtTsgjrrAyuXFbNK/M+sw8DGjo0z2witutdq6rpZivm0GwdMwiCy4SO/XApoa97jRkIoM2ZVqH1srFyp0iDUosgAqtlD/O5BUu6FilS7TEINwiCIMC77kuf9zCM6mD71xlWa4ZVBwoHBz3rdc+qzRZjL+vTQRmyMFRC3fS0K5gte2uVeOBBWC9tNEhytUvwoJy3TpwiF8MSpgTzXZtCnSqXS3bp5GFA12tyN9Cubf7LoMpyUJvvkjPdVtNsg1JXiVWpRKsSQ9tS9Z0tINo1zCcDKksTf2nYL4MygyC4fKR6LGXFHZjlAXmdqWplyMo6m9Jh75vB7j2zBGmAtlfY3WHjBIHdV8J5CYIgCPJgzfO9Dfegay0T44Mqh1c/jLYDXdexWmVWbabP2Yeye1wNaJKQVajXA3t9ZeVmZS3rdkzXS2Tnikv1K9BDtXuqv/7FsYSzhfW3tAewXrlnCAw9MqhdxF4Rb37tfL7C8ggfIwMMmQMSCS85P1haI1TfWWYF19aWytJvZVhQ5Z8bdelBcDmpanM0PDClQ2tZ4GEArOduNWQTBuFw2dgyK1UCEUEPVuYI1TO7r9RNiIAEQRAELpU8ybysDzYDK7XrYLUmtz3rNbTdQJ8zq2zzxWCTt2E9KAsR6lbIWdGsSDMzpcwnPsk+q2vRRUZI9s7MREr5dDIwF8d5AVNAaA+sgWm+Y8PhVgdQJ3Lbbao41jnTZ1MZOwoFOrD+JFWbCdd10JmiA12/yeognnHpe5NPHrwOMBYZQXA5KcqDqfbBXorWM6q69lm2NluqzUo7bdh3I7KPOTLWrF/DbAeSq7sEQRAEgebNwGJVtbXn0MNy38eFDHRdz5CVrrcS5bUqbbb5Yq5dSQVoStR9JmeoS6Cta+1zJIF2kxKByta4Qwu5ObVqgIvhvJQL13dwcMMk3lJCZ3P7wpuGjHmVfVbWmOPS3uaQAzAT7H19RoZJo+yN18C1J1pKLVUWYC11gFKZExVSpkFweek7C2bkwSJkfQ9iJWMKLLNykEfHZfM2VR4Ud16q0seXLBgTAZEgCIKg9LiUNgUB7QfLvuzvW7C+U/q10vc9A0qvsMqZNiuuT2aVRcAOmaUIQ87IToMK5qD03fg5uYcsZtdKxqfvwnl5THSuPV3q9KqKTSNTXaFZoUkkUVqUXpWDSa35ccxETLtBFR16dHWA8ESToVvtI7MZcGXyDldhCKnkILi85MHnTsnYHLl/A0pPpSqrPMokl5YWcSXKm9l6XmQ+BwRFSEM3ysEHQRAElxdVcya6NTaosrcA+noNN2+gXUceMn2f6Tslq7Lue1ZqlUfeJQOA6YUlmqR0/YD2GWkaW0fnvOWgiI8g8XPoywiR5r7bpvPvvJSBkD5zhcUOLBvzDru1lXoNPVUzQ1Ey0A22cLjjoVUtq9L16GoFD78OnvR6MO9NHlnVUmfJFhmGhvMSBJcVH5hrCoiyqUGWuka7ARTWvQVQ+m2ZdrVIWJcVBKRZmOHYvwFPeL1T+oWCIAiCM0UevDG/t5/bta2F10tTw0UY+p6hV5vtonBTYX/Im9mGimVdZgJ9BTOUG8vEcHMNe1dg7kPZRZFqNvZxe8URiEsmu727zxmY8++8lLkHxeurZ7D3gDkXg6mDSVZkUW8inK2eIO2COZU1kFcd/atvUD/0CLJewc4VV1wQyD2aa6T2+TJVlIwFwaUm60S+XawmuarQQRkGC6D0aiVi2213ScCyLQntWwvMHDyCDgMSmZcgCIKgXXJII7cMq1ybDExqavply2o9ANAPA6shc73PLLfszlJgTzNzEjcPMrnrEUk26F3E1tRi0siavYwZXGHXG/iH+18+dv6dF7GhPKWkQkTQVJkTkWqYzWE+QwdrRuoHm7HQnSDzkoCduqJfD+T9Nbpa2eTRPJj6T0q2l/piJdV2wYMguLxM/YuUEM1I36OVlYnVIofkKg+h0KN0/dqKzoYeljdcFGRtzftBEATB5aT0miC2BvX2CNatzRQbBthfkvuMKqwG5aYPZd93kZjstkcEagRVZde3LQ9aa4aYzSzxIj6IPdmaV2WGlMxLzmP/y33m/Nc3FafBa/O0XcHBDfNpdq7Bzi567QFYjWpjHTCcIIK5qISqEpbLgeFgRV6uYbUs4VHzNEt/TUq2sIjIaBBcXkQmKmPDRsZSdnZIyRodu4njYuVj4yNjiZvV4CVn2WdGlZKAIAiC4BKjk/7uZmyWFCxL0nZ0+weA0vfKAKyBAzWhmLVCi62DW8XkkzH1y1XOdGu1AP0wAIJWjbVglPmFQ4cWpbPspWty/8VkLoDzIiYhqnkcIFnqAK9dg8UOsrvHoNlEf7IN6ulOcOidKtm6QeHGw2vysoXlwSZcqkXjWrCMS8x2CYKgnlmAI9tcFxWB138KWgvrbmyW7NUMy/RRMsK1ZpNnV2CxYNPtr/nozwyCIAguAb7mFEGqyuzN+sCcmcUc8oCuWvpeydlklHPOLHPeqIyp2pxDML/HhiZbY79WGU0+/oMM7QrNnunxMmhzoGAzhPkUgvYXY7U99HbhmrkpLjiyuAJ7T0D6Fga7WANWb14uxXF4QRgq0LaZ9aqnfd2+baw8Tda62HJqIusSBIEhAvXCYhyDZYSlbtDsmZVsmvvDEW+1fhhFUiLVntmtF67w4rOlgiAIgsuJCMx3xyx/VZtz4fYhtx30A3lQ+sFKlYchc5BNhKobbFjlKiurIdtgSmDpVQJ1VVsJWtd6qdLK7BgwClKVzI/bqFMIql0M50UtvbXxCn0egkiCvWtIGSXq0qWDbvY+8gtImEzyTEBU6LpM10H3mkfQ+cKclbaFbmkX7+pDMYMhCIIRv98gXvLVrcjZpNertKUytkUHtH2G+cLubX3PNNoWBEEQXGLqOcz3rL+7ZF1KcKtdMyxb1ut+s/tSbbZL6yViJdPfl23eC15ViXpRkW/eMOel74B0qAR68/yQI3P/v4KL4bxIskUCjLMQUrJFw/XXokNP3TQoeugXTr4QSFsPAeZijbUZGAal6wa6VUd+5GHP9GTzRq8+ZJrYQRAEBfFhXp55oethZveTOskdxQ7XQ4/s7VnNau6ttjlVESQJgiC47IjAbGEtE32L1HOXLe4QBW0HhsGsTD9kz/gf3S6hWA+MCEifqVKNtr2PGRlMSawMqSzCWMNgtqn3+WPV/V8DXwznpW4AQbu1fZHJhkUqwP7D/oUrTS0kNUWFTeZF5JaHiFAnYeHOS1ZrfFIR5OFHTKYu1Z4qc5dT1RQZ2iWs9q25tmtPRYUhCIJTRhLSzK2x0cta05VdFLWhuXegz5CLosyQTfFlcTUyL0EQBJednK2Jfr3vzkNlbRM5W49kEuuvx4ZSDlnpbmN2MkBWhgSr5XoUiRHg5iNoHsyOVbVVNOngFU9q1UenEFQ7/1LJYF7hfBfWr8FHf7oCw2BOxnqNaqZuKgaXiROB5EPiptdUsJaWSm3yaAbWqsxUYceVHfrBLljuR0WgduklHt14pFSZQ7PYjcGVQXDJ0NqH1/YdNDMSiUG5rREp1NVEhjJB7tYXJNIUBEEQPGpyPypP5rFNglRB3aBNg1ZiArw5s86Zg6y0dzjsTMrM94FUVWjXIYhlXpb7to4ttqsE5aWyCoNT4OLYw1yGVXJ4uvWVayBCRqiTLRzK9+/rAqrpwwObOwKLZrwoLbA6GEx2uZnZoJ7infZrwJ+XRqYSINXBMjBBEFwyPCrlEaxUVydSOQSoUzJpZTCjNLRw87WRyQ2CILisqEK78rKhZHMMq8bsTL+GoUfXK+qdOSkJrVozfjvceS67KKQkiMKwXsEjD1vgLWfoV1ZpNLhW5madracWmD/fzov6ELeD63BwHTmkeOBKDPMryM6ut8SkjUzpZi85/CjsJSsdm3Lw6n3zSepmXESUKdjK6ECVz9dsF3boCYLgEqHqZaN+T6grmp0FYFnd2+Ezi+2+kQdoGru3DZ01Z4YDEwRBcPkoTfPuMEhVw84V638Zeut5aVtk3tiSFGiLQtUdaLUE8ZXhNTfRG9dtruEwgI94IfdoWe8KlnkJ5+VR0LewumlRyVJ/V75IESR56VZVkeqKIeeN43K7XzwBc5FbrnfbDegj1z2aqh4R7e+wmDjZH04QBBeIoRvnTaUE8x1kbw4oScxIHIcAM3EXJmdvhvSbSLe2+14QBEFwudhU9EzWnIs9l0xurPelqklJyMOAuspYvmPexQ69K4IOMOyvyDf30XbtpWnJHZXy2d41PlucWh/m+XReSsalW/ngNm9iQZB6BlIDYhfzkVdB2yKLmjyoKTH4d32cTHICFtWoRlYQhdybd7tRe6BIxjEOqZx6x6pQze7RFxEEwZlk6F0pLNu/UtGnipyVqhLq29zva4GmlvG9YAETYJStjGGVQRAElwpJ5qiU6fZDD/vXbfm79wDMZshDTyQve0SsBKzNSncCc9EI1FVi3Wbyvg9lv7mPpV0yUldjS0QRCDhF9cvz57zkwRW9bno5ll+VTQORTx2VRE4zuPFaS6UlqOpkDiSjA7stkwzmtDTVrV9N01QkzbBe2QuzHas/VOwilgurefRG65mroQVBcKkQIHd2P5o1sOzoARGhEWEuozS7YNmYuVjWV9U1+ydqZRv5ZYjSsSAIgsvIbG7/9h3att5zDbLYtQz/A08kZxtmnPF+7ROYi90EqooqXH+kpbt+YGXK2TItSnJnRWxN28xPVf3yfKmNqcvDaZ4Yb1cX86cm6eYlZO2B1eypIlJTVSAeyaxEGLyZicmRKi8Xa1IyedIJzbxGKt+zlKdtIqDJFxgV1JV5x83CPNQgCC4mJQtMBpL9/+6Th6Vb2w1/yFDPMNkQ6FRZJNmIiU1JwE4SZrOSHpaJ1v7sUFlsEARBcMkoi9aqgf5gfGG2gGsPwfB7aMKEqnJmUFMam6yUj2RRV6QkdJ0CPf0j+2ykefHhlOJr32Z+6gq658t5GSZTPssE6+I8lGiluvhxcXT6Hp3NSZXNb0kCKgKqVMcsAKqtmvRNKdmVhrTYMc+39NRUjV3EfmWOS6rss/Ngn1/t3tOvJAiCU0LVSlc3gRR3Mpr5eF/YueIDdJV8c5/kUu1zEYZkM6SmY1/KfKkHHtiznsiqdudl8Lt1tjLUkF4PgiC4fHhWhVT5uI4EDIgI+oQnQ7tGVGyqR3kLt3deKixOVlc1bTsAFd31JdrUSDOzIcvtAexdg52rFpg/Zc6X86I+NEddGkyFQ5NayjbFnRzTh5OmJtfVRlKsSCIPx1zJCrxe0BwcEWFWQV0LPOlJ8MCDXsIxg3o+eqR5q4xtGHxgptcpplhwBMGFYej9njQJdZRhtc0C5nvI7lW7O0ki9YPfooSZwIDQMsqziwg10CS755AV9q5gwZhJ4OYUphkHQRAEZ4BpzL1EvlKy+YOrpa9HrQQMrNoo4z3cx5Qbz3xdDDAMStcNrJY9w8M3vJ2igzygi2vI7rUzkfk/X85LiTamBMMRfuRGrtjrxNs1XH0AlYT0w2Zx4FV71BM/B9y3ARp3WCzzJjQJFvOa2ayGBx+Cq0+wBtrFFZMwlWrM+CCThtoBWoFm5tNJm+h/CYKLQh44sm2wzH/qVhYN8+yJPuGK3aIUqpRY5Iwgm7tYjWVeZknQrvdpyXte45zGpv0zYDiCIAiCUyDVVmlUlG43QfEebrzObA0wn9l6ti9jWTAHRicOTGmNmCeYJ2uZyKr0PfT9gL72tbB/E6490QNnk3aKnA+3cKTSOnF/7NP5cl7KVPvs81O0ZzJy0puJJpmPvoUr15D1Cs2ZepaoqopZGlhlu4jC4e9aRNjzRtqdecWstveIQLM7h+WBOSvzXRg6tJ6ZI6yemFPXwC7nlTtgZtuGzn6HWHwEwQWhyEZOX1Lolnb/USzY8eqX0bzBUxiw5HANkBJp0ndnARVhUaJmfRkIVhwXiextEATBZUbExKL2H/ERIUBKVog0DNC2VAipqqlEWPtbkvrqeGv9mbCA2hyhB3pVZmoKmZLERKnKsOWS/e/XZp821Qe+/k61rY3vwxr3fFlCESvHqH2iaFVjjfLeazL5wnTo7UIe3IS+RxDrcVE1NTG8NGzrMRfYq4WkSlOZ4wIwX0DzxD206yyjs/vA6HHWjZeNeWnHZkGT7OnQjecWEqdBcDGotpS/yv/7JfOyGTJpzY3SdWTft0rCLJmz0kweVYIrIlZK1vd2jOTOS1VZmWoQBEFweSnqtqkay5ZFYLEDeaBPVgmUh2Fjc0RuVdctvS6zZGvfQgu0Q0auXYGmMadEdVzP9v2YeSnBu5wtudCt7stXcL4yLzD2mgCkztNW7hFOO1+Tf6E3r9u23VEdIWGa1omx76VkYEy61NJnfT/QNBWLhbDYa6h2mo2+teQWcjOWg6lCXno/DpOEUBobrIIguDikyv7fH7pJ6rxyx8WzJmD//9c1ue/KVCgTDlErST10SIF5nWiqRLe/ZN615rBUlTfqR9Y2CILgUqJqQlDdEhlaNzuToZG7V2Fnl5Shqiq67VmFckudAAC7wKI57A7cfHhNlgoWu96Y6RUFtVcPFcdl8xkKJMvINPd+eOX5c16mlGyL1D5TIUPnX556r4la03y9Z+oIgjUndclEgNKkbyaJD48Te54qYWe3YrFIzK7OkbpBdna956YMx8Tmzsx2XW+7KKH5H5QUcQEdZeaCIDj/iIxZ4M1sJxfuKNkXoAwWk6o+1DB5nCERPMHiJQAWMJnZv0UMIJyYIAiCy0OZcTgdF1IC5V45pPXM1qlVMhPkb02Mz49ip0rU6bBNUYBHbmLtEGVhnDxgX8N2z/l95nyvpFMyo45OSs9tqr0kdxSqmdUD9gOpttKM0rSfxBpkqyT2r7ApJ8uY6sJ8XjFfzEiLGbK3gN0dWC/H+j8qLw9pYb43pvGqZtTHlmpckcSiIwguFqXetzQrTtXAikNTJfTKlWPl2afsiNDUDUnVSl6buc2nGrpJaWoQBEFwKVC13pPSpO+Oi6TaSrrAHIp2hQ4D1WwGmK0odT/HBcoS1pWd8mG7MmQYDg6gW5sZq2okVVDqB6Yqm+CBefVZZ/d+nXu+My9gDkGqoe/MCa0baPdHx6E0uPY986uLUdEnw6C6EVouF7F2yTif8UNdJ2TekHZnpKtXkbb1Rtzs6ma97b06gN1r1kjVt3bUqjbnqW5u6ckJguCCUnk2ZujsHtGtAYEnPMTsBG+fAWTIRSKmrtGhR4qaSxAEQXDxKUOQ+7XbETiU8UgJUUFLydZr/wzWKx9UWKEeiC8rz6NWoLUI8wSpSluvYwG0rjPF3mYO6wNYXPFAnQKDC2jhQXq5bzNgzr/zImILhVS5Z9oBoF0Lq5uHPFVpKuZVoukHGgGQQ6knc15sgJzVpQtaJyQJ1dVdZGdnU/5lSmU6OiQiltLbvWYNuprvq2xcEARnBBHLwnZrNLceGamo9naZ14yTw45hlpIZH/X+vqq2JshUjeIgQRAEwcVlo+rVe5CcW7LuqtmrgDAHZv+6r4krUrJAfAYqEYaJsmWhrH8XdYXmfEjNsqqFNK9Hkalkz1UVqRpPwHglQAnUN819C7Cdb+dlqvLTLa2cq6TU1geW9+qLWk+FDJmmEfY6YaUwF0YlBqxcrBK70JUIqUrmXC4qqmtXkPncFg+lVG1KVbsSw+ALjK2UWhAEl4dSSjZ4XjeBvu61NOmwnsc2CagSNLPagiO7O35P8UBJNO0HQRBcfDRvBk6WvpaNIyFFzXYYX1uvYLXyWSyJqhpnFeID149jhqKTvEwNzBcV1e6ulYuJbOa4SF3behsfvl4UNqfKY/eB8+m8lFTaMFEbK1S1b+uR3Nu8BBHrWaEMgUtc0cz+1gVNwG5KJG9cylkZugGpa2Q2g51dW1kMw9jzMgz2miTPttzfryIIgjNIu/R7D5sZLbp/kyt7c9LBctM8OZ3xIljCpWnEJNrrBPM9tFsj84VnXk5SeBYEQRCca4o08UbRq+RRzGpsAmDevK+DtStIVSG1z2jxWYaVjMq62zQCkhJJxgHuIsLOTg1XrsDVB8c1brOwPYbeysZ0YsnyMMr634eqo/PpvAy99ZWUZljNfk0ncxamDxG7oJUwqxM10FSJB1Tp8qZakCTevA80Ina4BNQJaRrT0K5nSPkcETuFnC3T0yzG5qkgCC4vuQfMqIgIiqDzOfWsZibCepLxnVKLsLuYISKkVJssZWmkrJoYUhkEQXAZmLYkCIdHgRSKomUZanztiVC92Cq6xEZ+NLBxYLJyKOtfFWVdrOIo+Xv2FommquChJ8ETX88qiXau2JHygK2zh7FhfHBZgNUBzHwWWSl5vkecv5W26jj0sTTlIyAuVTpkbHClG/nZDMnZavFmDbN5RZWSvSbCrNrSwcYuorhjIpJIuzN44MFxUFxxWKbScnlwjzNSL0Fw6VHcsJQ6YqWaz2DINhQMIU9qkIsBaZKwu2P3LkkCXYeIa17GgNsgCILLgSSzHVl9Pdtz2PWQSetEtr7IvR20bcl9TzNL1ClZqXIupWO3fswMUFVmSVjMbcZYSolm4dVEzcyC9mUOjE48oNJzU17QHnRm59u3m1Kze8E5DOON2RRjcjVSBUNrHmEpr/D9JCXSoubKtQVzbNZLdfjdVrLB6LyoZkSUtLtrEVA7ECo2yvKWvpb24PH+ZYMgOG9sBuaawShzxKSZMfQDMxHqZCWsjT8qU1NmLjCb1UiV7J5T5sekUlgWBEEQXHhETPyplGwdWm+KqU9uBiFnq0hatdCuSaVHBsvm1+AB+cOPJMKutWQyn1XMm5qUEnUD8wd24fp1WN6EvSdYYkDVlXPZku0vVVCMyQUYMzL3gPOXeSn1f5uhj2WADva898nWa685X6+grpGUkJ0Zi52Guko0wxjF1FLC4SmzWcnSZWzR0HmarKrdEx4sA7PddpvzqDIWBMHlJA+QBMlp0gRp96umaVikDsnQymRgJWZgZinR9QMyq5BiDEqErT6Ht+sgCILg0VH6TGrvKVnpOARZt7IwCCxvmMOwmJP7bOVg+JrWE/ilrb5iVNetXEEXzDfZ3atpHthxx8mdFRRyB9UVWwvn/XEdvpmzyKYH515z/qxhGQLXt+Nr3kSvXo+npZm/a93oW614PZ+RxEozqmzftAK5ZGew5qXkPydJ7hf5hZjP2dT81XPL8DDxhnV6BYMguNSkNKqOYSVgVaUkEeaV0OS8adwv2d4KqKrkM13cYMFk6G0QBEFwqShqXymBNCZZnD1QXmSUmwZaWxenXRuIXlfmmNQJ8P7uaa6kFrHDipAVZrPEzk7FYq9BZjXsXYGmQTTb56Rka+v5DrSe+bHGbz+or4eLWE26d6q75895gbEJqHig4so8XWsZkSIf166hruy1ygb2SBLmtTAbhG5SMrjpjcKioEkgVYImgVkzSiQLo0N0lHepOWSSg+AykyorL1WvURbP0rYrZouKuTfsS0qbut1SFNaIUM3s/qGlv67s1a5NEKRu7vdvFARBEJwmksbAfaotuFXVXpqVfc6KzVqRnKmaxKwah65XaQzYF0o5WQaGXqkbYWe3Ie3NkcUc2d21aqahhwFYeNC+a22WWXtgB9w4Kd6fU1Q272HA7Xw6LyJuwCdGXD1KKZXV5knldV/msUpKSFMjuzN2dhLX20xWQUUPeaKCMEtWPqZZaaqatJgjix3fKdlnt8utRYTYxVovYbEXUdIguKyIWGSqt4G5pAR9j3QDiyu71GmJZugnZkSAGpNxr2SSsdnZ2wRMlIy0yxAGCYIguIw0cxem6swsVA3km6M9SCYqpeuW5toCUKokNBlEdSK0PPZ3l9EgIlDXgjQJmdekq3tmu9qVi8W405Jrs207D1hJ29AxNnaWPp3mnssln0/n5SjKl9Z3m5pz5nNzYGYzqxefzUg7DYtFw84NS7tlFaYaPvXku64qJVUV0szG6GnubfHQrmD32uHPr5qxiSkWF0Fwealndj9alqzJCmYNi9e/xuL3Xoskod5SD0uS2K0SKtn67/oOZguLepGtJGBeeu4uzq07CIIgOAFlndvMLePSLrF1aYaDG+ZIAJptPuGsFuYCK7HA/NTiJKwXpvbnVSXUTSI1DdXenOrBBxDXVlbUBrYXhV8V++ydq3YueXB1tOq+rX0vjgXUbI5Ltx4VERZ7gJru9HxOtVggJObzGmXtuta3HqrIJc/mNVq7KEBVQe+LhnYNOz1jsUeRiSNaXoIg2AwHUypL7/cdglLVFVdmCW0zPWljTBIwS8JOI2hWaBKa0ihGkr3muGthHpLJQRAEl5IyLmS9v1EA03ZlswbL3JeUEFWapuJKNXBTTaJfXf2yrFxTEhYp2YzDylV0G0i7C2Q+t6B/cU508vlFPGbwANs97G05jvPvvJQLOfR2MUvz0kbSrbLU184uHBwgOzPqJnFlR3j4wC7kdCkg2EJCgFkj6DDY+mE2YyPT3K7MoSkTRe0DTaa53o2sSxBcZlShXZpwCIPJJnct5AHJA1euNAyPdLTZIlpgwZJaYG+v8Wy7kK5es6BMlVwcBPt56Ecp+CAIguBioxn63uxA9lXrMFl/Dh2igwW+hoHUNJCVKiVqEfaScHBERdAck+mvRchZ7f11Zb0tTWPVS1Xl/d3D2NOdam5R273PnD/npRhvZfxSB2/c73ufwYJLyQ3Wl7JewqxBFguqB/aoFjWzWYUsLToqk8b7IpcMUFUV2mWkaWwBMbqeqFRI3hoapNlq3cN5CYLLSwmmeJ2wJEHzACKkecNiUdP3yrxXus5CJymZ0ktVJaq6RioxAyJixirbvWkTNAmCIAguPtkHUJa+kiJUNV17Zi8dq6zXu5qZuFRTVxaIrxJVVrrJYOTGByMnV7kEP2xVIU2DXHvAy5N9jS12LPIwimOdYvny+XJe+g76tT13R3BTp6VqX+ZsB1b7tsMwmPpCSjAkaBrq3R3S3ozkKgxTqWQYp3ZWIvSDohX2/qmTWRymqh4/vzQrnUL6LAiCM4Q7KiWIoTlbEEWEtJgzmyVmTaJK0DR2xxGB2muOq0Vj97La50qpz5miTDaO4EgQBMGlYGgBvXUdiliALKsH1zGlsapCmwaZVTSzinlK7OdMlcSGV5Z3lyGWlPEgagvguqK6etVsVl0hJBh0UmXk51Ttnup6947TFEXkqSLyP0Tkt0TkRSLyWZNtnyEiv+Ovf/k9PVNVd1zEG4O8uCu7Yfc5CcwWk5NPo8xxkUxuGtKioW6E2rMs1eRR+l2qZNNHq1lt6bqunQyfNMdIt/+QpKTXgiC4dKh6gKXzHpfs6XWxMq+UkCs7pCYxXzTM55VNNZ5VLOY1s3lNUwuVJCS5YtlssRVlyyYMEgRBEFx8imruIXQcmD70QJkBI7Z/01DNZ+xdmTMT2WRZxNfJxXFpMMdFRHw0i5D2FrC7ax9TNagISD7svICtx09xvXuSzEsPfI6qvlBErgK/IiI/Bbw+8DeAt1PVtYi83r08UYoyz7Qka1NGYYsEBWtaSl7iVTdjz0tVw3yBzGbUOwuaWUOqeuphE9PckLBGpqpWqnljF3rwUg1JkBqkaF3vgMkklzrAIAguJYNnhjelq9h9JyVvuFdkZ4fqyoJZt6STw8agSlDPK6RKppZ47RpS14iUsApAijkvQRAElwXZGki4mWgvXs6F2RdV2H/EelUODmC3Yb5T01TCTH38h26NBnHHpjgviJrCmJUCmC0bOv/cLeclZ1+X3zEHck+442pbVV8OvNyf3xCR3wbeEPhk4MtUde3bXnkvT/R4fPKoYA5G7v1Lzha1bKrxS68b2N1F9hY085rdXeHgwDZtfCNvlq0rQVKiappRWUHcKaqaTe+NVjVS+cDKZhb9LkFwGSlZF9zxqJtNRExETDmsskBKszsj76+ZyeGolSShXjRInWBeI9eeOE5VLun5El0LgiAILj6ptsGU4Pf+hPVMiPe/ZFgvrTx5vbYm+5SoZzNarBm/cpvRTw5b+rtr2YwS26yDTfBqZrYsD2izg+QBlbTJ2mz2OyXuymUSkacD7wC8AHgG8J4i8gIR+RkReed7cH6TD/cyselsBMtzuZOy8MmjDRuHpqphtjdZACRkNqPa3WF2dUHTNMzn4lkWe6QkVJUwX1jzrM6thtBqCj19VxykhIkB5N7nyCyOOvMgCC48nr/dDAurrFRMBNVsgY2qQqqKVFc0D+xS79RU84pqXlEvaprdGampSXVNms2gH1Dx3peNvZBRDjMIgiC42FT1mG3X7L0NjQXEUHRwFbAhj4EuEReaEvb2KuYi1EmYp8Qs2SD2mZg8f3KbVVWJnCB5Hyazma1zs9uvI9XFTi+QduI6JxG5AvwA8Nmqel1EauCJwLsB7ww8V0TeRHWrE0TkU4BPAXja05726M+09LNspn2W32BmF0uzD2+rzFsc1CKe1x6EV73UsyU280V2dqgfusrslddRbajrTN/bYDgLkCZSSsxmtTkwu7t2iaTaTDelniOpGqXrmp1b02pBEFwSXDl/c/tzNf3cW8xjtoDFHjKbmVx7p+RrFbntNjYhzRpSlUi7tQ3GXd70QyeXx/T7XGReHnceNzsVBEHweCLeM1nWsOX+v973si4vHdOh1IIhKaF1jezOWezUNDd6BhWyKOoOh2we47zDKiV0PofFwsrPyuf13dFZlm4J1ZVTsUknWm2LSIM5Lt+tqj/oL78U+EE1fhEz0U/afq+qfrOqPlNVn/nkJz/5MZ5tBfNdUxRrFjDfG+cddC1UtcuJVqOjUSZdbzIxc2Q+p3pgl90n7VEloa4rFouG+bymaWpSSiQBaTy7UhrxiwKQqh2rqnzhkcf5MkEQXD5ELL0/dJYB7nv7VzMiXlLaNLBYUO3OoRFSStSLOfWOPVKVoBZkPrNMrxsiEwPBMjglixw8rjyudioIguDxRmQsGxaB2a5lRYZ+zLiUdaq3O1S7DbOmZqdK1AIVsnkk/3eWxE2N0sxq0mJhTpFmrHd8hvRrNA+TkrFk6/CSNDgFTqI2JsC3Ab+tql812fSfgP+P7/MMYAa8+h6c4/YJ2UWq6sPeXs7m0ORs17Zu7AK0S7uQqSwCBHavUFU19XzGfMckS5PX/SWBphauXKuQ3RmprnwoZRo/U0oNuj+X5PXuQRBcSspcqeJcCJgijCe3H3kVJEHmc9J8Tn1tF5knqGTzkEVFdWVBmtXIlSve7M/oxKirl4WiYRAEweWlNKh4gAzEgvQim0CZNA0yM2VdxHpfmmTDkGuBRqBO4xq6rrENlECcOyW9DVg+PM1dt6oM7j8nKRv7S8DHAb8hIr/qr30B8O+Bfy8ivwm0wCdsl4zdV1JlX/IwcSJUvdwiTbzWZF98lUizht1rO9TNmm6VUT/MfF5RNQ31A7ujE1R5Jke8/0WzZdTqxmsMY0ERBJcW9Zt5cVb61qNjc/RA4OYjdh+payQlpK6oru55vbIfo05UVYU0NiSM+Z4bEA/YCJA7KxeY70X5WBAEwWUjZ1O17FvofO6hiAW71Ne6e1c2zfvNrObq1YbVw60H6A/bjQpXHWsEGUw4htls/KzOxQI2YliMtki9yukUOIna2PM5vivnYx/f03mUlFRZtzr8umCvz2dwMJGaU0wHe3dGvrFktjNnNs/jIkIEeXBBPWtgZ2EOSmmYamq7WEM/9uGkkEkOgkvPNENS5C0Vc0BUPJU/gwcfRNZrKyerJ4PHSuq3BEqaGqjGe1aRTO7WlmU+xenGQRAEwT1mKgFWSoj7tVUY9Z3NYAGX4u9truESy7zs7FDtLpB5ZctW8cHsWzkG8RkwdVWjfT+WndkJmKquKkkzio6lY+rKu6dUxnz+rZ8qtCt06OwClgGWPvuFujFDbzub4lhdwWxGtWjID+0xvPYABkGzQgVpZ069t4PUFTKfm/RcM3PVn+SNTJ6qK2VkpfcmCILLx0Z/f0sJrKTc5wvYF1clnNl9petM3nJ6mJRsQFhVwerAlA6LsSiS7apmqMJ5CYIguJioWkB+2lOSKl/nuupkswsHNwG1/UowPQ8eoN+hvjJH0j61CMO04Z9p0z603YAKUCWbNSaHP1MRZLO3O0DN/D58EUdz/q1f3x5uli+lYQk25Rbdio02drLSDeoaqWuavR2qxQxd9eiQraRjXpGaGmm8QX+x8OZ8c1TEBQCkquzi1fNoog2Cy4yI3Qe61ZhxyXlUR5x5AKSZ2b1isbAMb98fPsZi4eIi3tdXgiSlv27c+f7+fkEQBMH9o1+741ICY+ptEQLiS/fFLjzCmJUpNiYPtsadzUg7M5pFsqyLH3qae5mWkkldo21ngjMlIOfZF3yY5eZdIqdqhs6381IupiRrlq18mE9tF0/o0X4YJ4GquvMyQxYLdGeB9PtUdQ1XjvgqZjN7DHnMuKR6cwzmPl8mas+DIEiVKcAMPUgPbQ9kLxtTu380M2Q2QxeT+0aJpIHdW5pm48CUUVaIR9ZSNQqWBEEQBBcPdYehOAngDoxsGuU11Wh3wwdJYlVG4tn9vrKfq4pqZ85sMSNVa6qBW9rrrbtCmDWJtPCZYoOvmzeZFqBbo+plY0XJ9xQ5/+mCSZ+KDYJrxualZmbea4mEFhY7VrqxtwfNMc1GlSC7u177Z/NhqBtkvoB6gdQz6LpQGQuCYGTTOFkcEp8FBRboqGew2EG8fMz2r0aVsrpGdnbsPjb07sh4rwsACeY7/loQBEFw8ThGAEq8IZ8MDLa+LfahmfvcQ9+nbmBnB9nboWoqdndsAHvlPS4JqMReS0lsxlhTITMfSKl4X/cMQc2hSbV9TjN3EZnTcyHOd/iuyCbnwUvFapglWLv2tAJlcNy06SkluHIVWa/hwQfR/X1Yrsa/l4U7NouFlYZVlTsvM3vs7JljNHRw47Vw5UGrNQyCIMiWadFNuh+fklzDtQfgtX9m9xaRcRBYoTRL7u25hn+pURZzaEqZahAEQXBB8TLhTdlwQX1gZQ37131XGYNZO3teYVRByjbTcO8K9d6C+fyAIXd0HaiOx0wJZjMbzK5VIs3no0AVQFbLuFQ+eiTt+czEnVOtOjrfzguYMW+XiGa0nkN74I5MKSljnBJa1gilnnzPLrRUlTXJFuxqWgS0rjcerTXv7yKLXcwpAsiwuml/LNMLHgTB5UWwFH9yafUiJKJq94m597asJ1KXpR9vsWMiIQL0RUFRx/tLlKkGQRBcXEQ2a9tN4F0ZWxZEPGhfsh+9mZzdqz5AffCm/RnsLKgf3GNx9Tr9oCQZbIKIlkIBoa5rmplYn/fUZsE476Vyld08wO4Do4DMKXH+nZeUYL5rjkqqTEa0qmDIph7WD7ca+80gn5mVhtU1ul5vnBwp0c/KJZCLbFxlU0tNyaxMwK5slkzXhvMSBIE7KT75GFzko0F7zxLXfh8pPXiFkuqfuWOzadT3psmutZKxIAiC4GKTKl/b9l6GPBnO7o38khKaapBuLEFe7Fg7gwfJZD6nesIVFk+8wvL6I6R5OiSXLGIaYoudhmZeWw/NkM1GlRLoaoakZkwC5Y7Tdh/Ov/NSGps0w/pgU7KxUUJIviBI6bDkXF1vGvtRtRr0PCktK41Ps+aw87NJ5SWoGldfyKAT1aAgCC4x5nRIEnToLehR1UjVoMn7W0rDfS4aMJ55qRoLlvhgXJk6N/3aSlSDIAiCi89xYziGwXom1weIDlA1KD0MS+9HERg8+HXlKin9GfVixnwn0a0zQ56UjQnMF0I18+HIva+hq9pnjrmE/yaghiUL9HTFqs6386IuRZoHc2Da5aTPyZQZRARd7EF6za3v39lh84a+H+fDlAbaqpqo+/i/+CRtMdUxzdmuXwypDIJgg2d3i8qh4EEUj5zt7EDbuqHIY91yURqTBIs9xunFE9WXIAiC4PIiYhU/JSC/Ua7sx6b+0rjv8w1TXbH3wA6rmyu69Zh5aWaw2J3DtQVV45mXjbOC2SVVC7HVjWdjYBN0OyXO94q7b8eGpiIrRxngw1jz164ON8UWUoKd3bHBqSw0SqlGWUiUAZVVZZdK1S7wRumsiibaIAhG0iQ1X7T58X9KZnc2g0YnmWIZe2PqCuoKXeyMg8Gq2hVfQmksCILg0pKqw/0w4wZT0C22p6oQVevh3p0j9T6LvTmLHUVzkT0G5hXN3g40tWVfZp69kWrs1Szr6SLJfMrBtPPtvAw+wCf346KgyLsVr1OS1YqXRcHWROuNc5Lk8LYS/awbaGqXYJ6UcORhrD+sZ5aZCYIgEFcG6yYyllUDdSk39XtF3u7H85rl2ubB0PVQzcZemMpl24MgCILLSd8dHs5e1rWlHLlx5dtN64TNDqsWDfnBPYaH99E+j0n9JtE8sEs9n5lQzMwHXcI427AE9VMNKFTzUxeOOd/OyyEsPqn+fBPZ1DxOC00TByb7IiCJNTitS/Zmkgor00qlOhzt3CiYeSZmdvoXMgiCM0RVj3XD5b5TVVAJ5sBs7b/JvIgpkXngRcTvaLOdsYEyCIIguHzkAbqV917jQXbvS6msT1s7F68a2k3vJE2DzBqaazukRU2/v4YuI3WimjekRYNUyWa87Oy63TLbJWV9W9bQzcIDaafL+baEtUc3yxe7maugftEadBgwT7Eem/lTOjyeM/v066IABJOFhEuWZo+aThtovZbw1tRdEASXGhGkmaE7V5CHX42KjwUrfS1FFXGbIoMJ4wwYdV3LquY0h4IFQRAEp0jXgo2M9H7I3u0CkAe0bty5KWXKVm4s8zk6myHLNfV8Rj2f3aI4RlP54OTkQldubxqrBJCqhp1rW2vg0+NsnMWjpWrG+rvN5NEtZbBpNLNy+ePphU3JysJKI1I1ac5v5l77lyxVl5iUo8koWXdcT00QBJcbD5Zsht0CG6n2qh4FQVJl96diGEopau7s5/XSgiybvrwgCILgUlHEXVBzLop6ZT2zvuuuc5n+iZ2YLaznZW8P6nHJLyKbB2CB+qaxQL3U3t/ilUfFXuWzo6p7vjMvIp7CmvnwnGxNTOARy8EckKqCXswRadc2gGdTHlaa871hv/S91LXtX1XjPqTDkc/SX1OamaKkIwgCdSdjmuIHv1fI+G9RL7SNY0CkGAoFu+eI3cvale2fqsMZmiAIguDiU1UWSBcfaCw744gQPEMPYzVQCdDv7CGrFTzwAHrjBrQTJ0RA9nbhyhVzYJLYiJB6ZiVjO1eRZm5r7BuvgSsPjT0xp8j5WG2XxQBMMiwTUgI8slnPoTMHRhC4cg195NVm+Ev0c9qYvyk5g8200iKVPD3+ZvDcRO2nDLEsGZhwXoLgcqNqDsvQW1Nl31uwpPca5ZJ9KQouhzLFMiobFoERKZliGZUVcw9aM3ZcBkEQBBceD9SLZrSeg64guZBLHka7Ms3OV14OduUK5GwzW3oP9pfBlnUNOztWIVA3MNsxWeRmgexd9QCcJwSW10EeOPWh7Gd/tZ2zDWebXox6dqujID5AZ7rfVAJ5OsNl7OwfSVulZFPmu+YIiS8gxGrXpZlDkWeOGQxBEPSdZ4HdOBQDUe4dh/rktu4ZIi5POVE6PHTfKvclD5aEZHIQBMHlISWY7VozfsnMJyyTDzY3rATgpzNgXOLYSsdqdL3e2CZJnsWZeeCsdmeomdvPxU4poJWVL7fLcF5ui+rouBTDrWoRzSJlXBCxL3u9BHRsYFovR4cmJcgJJB/vaxxqvp8olG082mzeJ6Dd2i68iJeHcPQ01CAILge5mwRQdMyalIzLUKJjW4EWYCP1XvafzT1rc7gpM8rFgiAILimCV/z0viZlU5Ek3QqtXSmMdnxPVVnvy2DlYlL5LJgisTwdyl7ErVKy4wy9B9JKRZIr+J4yZ9x5yYcdFxh7TIbhUPPRJruyqflTNA/m/FTu6FRy65c+VRfbfMakKb8sGirXt96UFRZHxue8pDTOdYiIaBBcThQ3CjomZIugCDqWg23Pm4Lx/lWZUqKkypspdTyGDli07WzfuoMgCILHEVXP7Ptw9oObk14XxjXrbAeqh299/3xux1gf2M/FcSmlY6k05lvpmKoim/7wNFY7FYnmU+YcW8DRSaFfew3fYF5iWUAUJ0fdCdkoNWAX7qjIZ/EuS+qtREM3sqblDyWNUdKhHy/s0IfzEgSXlaqxzDAKouN9QsrN352WcvM/KnhSTfpefB9VRcigic3gsSAIguBykAcY1rae7TrMluhGAEaH7Iq6tQ9w3yIlWCx8qPtkHQxeplz6xquN+q4g7uRstU1Ew/4dmJaKlS97UwLmDkLfjeoLRb2nlH6pNe1rcUQGLKrZHSM3Wj5n48DI+PN091KTXhYQxWk6pB4UBMGlo26grSxD4jKUmlzyePs+AkeWgEkzkX9XheRlsOIZl6gaC4IguFwMPWPD9kTsZdOn7f2Upff7qAx/StZekZI5ONVkPZ3SODKkmSNljV2SAXhCoGlMGOuUOePOi5gnOXSHnY00iUr2rWdZtvYZBnMU6wZJCcWzKMMM9OA2H5oON+1LNXqdTByoIhBQViPDMC4ugiC4vGwcDf9X/MUy8Ou2701ozjYQrCrZFQVKNjeDNIcDOkEQBMEFZ1JtVALzZQ1aWhxyBu3HPpbN/hNJ/sUOrNiyHzJWB5TszUaF149R1sZVfSYy/2d/pV0ahcpwnFSNPSmqLhu65dhsVBaSeYgpITZhEp0DN4+SGyvk8cJ5dkVKM9TmjwGvCpk05JYJ2FEyFgSXl76bDPJy9bCqglwGVPr9S4/oedncS4qjM3OlsdrLXr0MlmRqL9tGJgiCILiYlOb5onybEkJGs93/pZmRUZ9lOFkHb5PVlMWGyVp10y8zs7KxyciYaS+5VDUbJ+aUOfvOC7gXeUSN3aY8TEdPsJnb4qEvF67IJbtGtSQfVrk6+rOUwxJwPmFUpjV+4k5Tmo3OVKpsYOYZuKhBEJwCqpYllgrIowEo94hpmv/I2i85FDQZB1ROdpdqvJ8NriZzypKVQRAEwT2mqiG7A+OVR4e6H6RiM/urbrz/e2vmi4gJXW3KkidBtFTD3NewQzs28pcPEnx0yQp079TXuufDeTmOXGausLlAkhI63wWpYX9ti4kyxDKLpdRu15dS1IFSZTV/IqPyQul/AXOEqjIJO5sM3RlIpQVBcFq4t1LV7sRMUvXJSsYkiet8JG7pu5sOzK3no+EoJbKbpn/fV9NkYGUETYIgCC4sIhYgrwaoelt35jw6IHkwoZciezzf8dEhMK55PXCW9Nb16mxumZfSM1OEYQ4p8eKBs/7Ug2bn23nZNNQ3E8k4QVKFtitvSvISjiKVXLStjyNny7RMh2AWj7MMilMFqVDNiOYxEpqHsaQtCIJLxlQxrPE+uHL/kcMiIMf1rAguhzzpu8vDqPKy/Z6jhEeCIAiC88t2tmT6vLQndCuQOazcxmhGdq6gzRxWBxvJ41uUxzZjQCooM8WmPTJlvotiJWapvFb29+BcOC+PgZIZ2cx4wWVFs3uhjZdZFNUF7025nb2ferIFH06pmrziwy6giHj5mKfZ+tY+M8rHguDyUQxLkWvfNDq6RLuKi41UmPThMcdQtQzxZr5VGUR2lLMTwZIgCIILQSk9ngbdS9/3LfjAyOl765kFzoodKcMotymiMohla6bUzabPmyFDU+xQkUg+GwGz813nVAbypDTW9mmGrh2zK0UW7pDs8e3KxsTnNEzY9oKrxo6rHhHtSxNV8obdYxYmQRBcbOq53WOG1obWbhDLy8wWHlQ5yhGZysHLVsSsZIzzeJ9DTz36FQRBEDxObBwXL+/SbHZku1pIxPu73Q4Uh6Jb+9iONGZLktz62NifQ00z9pjt2D6qwDC2Z4iMo0mG3v49Rc638wLeKL/jTkoF65VdwDKZukoW6SwDJ6t6TJfdgtjLw+ClGpMBcikhdeP1hM3hekEdLIVXnJbiNQdBcLkQGbO84veT8lyz/dzMbi0jmz4Hj35N7lGbIEzltcguEBLqhkEQBOef0kuysR0yZt/zEWvKokBZ3puzrUM1Hz7GnZjaoLpmUzZQHJiyrs29rXWT99VM17ynwPkuGwO7YO3SLli7gtzbYDhX9BHEGvi7ldWfJ0+TDZ2VcUwpi4JNrV8Gkj2fyiJXaVQumzJ0Ll16X37zIAjOGn0H/fqwrn6qYVhbjKsERTYa+ts3CxkVDzfGx52gEm0LgiAILhbTYPkhxNaghTyMGZZhPVEUc+en9LPoZEhlPmIwewmYlfaLUkKW8+GM/qZkOdmaedpW0beWqTkFznfmRdU9TZdDnpZZlOailEw1bLaA+Z4phMkx6TRJY4Zm0xujm9p1LV5JnmqXHjoh+8OqopQjCC4dqua4wKHAhqQE6kERZFIWsI07K83MBENKOWyqXLs/7itBEAQXkkNlw1PU1qdgjsV6OQq4TJ2SPOmNrHyQe7FDR7VK5DxK+Vf12PtSb1UWlfKzEkDLg7VKbKoMTofz77zkYWxOOtS85M/rBmprrpeUkGZuknAlJXfo4d6lgOatRqgiSyfV2Kx/C5O+miAILhclXZ8qKFOPy7+i5sRINWZeNrNfhEON9yXyNc3O6HC0AQqCIAjOP6WfmtK/reM6tgSuhvawRPKhdagFuqTMAqvcKbmtgzGpKtqUL2+5BaW5X9IYc8v9OED5lDj/ZWMwqSf3ci7wiKWM/S7qFzH3Y1Ptdr2eyOjhlmOoe5pl3VCmXR9+o1/waKANgstLKe+qTC3Mh+dqNxHxaJrDWeKjgiDJyl4FAfEy1Kyw3rf7XDM/WS1zEARBcH6ofGbX4PMIUz2+BvZ6HkYnIrm6ZXZHZjbzaqNkrRNSypaPa673NojkgbSN0zNxYgZzlgS1/MAmWcCprnfPt/NSopd5ooiQJp6kytjHUmU0JXR5c0x/TeSVN8+LtNwmyjnWIUrxSmc7o9LY5jzApOR279uvHwTBGWKTze3H54M3OZb7TVUaIm9zDDwdX3uqvsx8UfXJx1izfhAEQXBx2IhKHbE0L5VGqqNjUc/MMdlkV3w0CAmRjEqySqPlMc5LHjyYX2a81LbOTRPBmOTOVEkIKLZOnu3cmqW5j5zvsrGNXJwvEHTyeqnTK45M6YEpmZlmNpZqlMaljYd7xIAgKd6p2jHqmQ3HrCYKZDtXx6nYQRBcLjYN9ZOsiOQxKlb090uD5Pbwsal8ZQmMKJtSVXNgsKxNlJAFQRBcHkqZ2EbGGKRK1s+dXHls6Ng03qcaSLfOcdmmtEvUM6Sq7Hnacg1UUXydW1c+T+Z0cx/nO/MC5jluekySRSZLb0pxYHJv26QMqoSNIsOh8otJ/Xkq9X2T3pjUjA5R39n7d65NatUHa6wtkqhVM1FyCILgwlMys3nwdD4cCoZUblRSNzo1U6otxyYlb+Cf9MDk3pQVq62SgiAIguAC40GwXCp/BEkVWjfQlQZ6z8wkzJ4Mt5Mz9mBavZ1pGdzpmQbYJlVNtffmnKK07sVwXqbN9y5hLICm2gdW9uaDKFDPTDUsJZOSK4piUznSTU1f6WXBS8/S5CJnSF57XuSau7UdKyVTNctr81CjDyYILg+bYEopOU1jnXKqkN099MbqmCyt1SjL5r6TtoaGuWEqUTZVn3ocBEEQXFg2oi46Zj1U0TIfJtVjJVH2MR+S7+C82HtlakN8fauqnonBbFWqx/d0a5NJrmf2OIUA2vkuGwN3NCbP6xkbyeJuOfaigMsYTy7wtHyjOEClhKz0wYhsnBbSpM6vZHbUG2n7lo2ykKr/jKtDRIlHEFwaigTlRnmsoEgSmC849tabkjVGlntS30G/GrdvZN69wTL3h3X3gyAIgouHiM9U8YB5eShjSdlid7Qd0zXu7ehbc4DGD7J/VEenpVkg4oq+ymh/yryZU+D8Z17q2dhMBON061wG9uClY2ryx4I5MD2jczJlKlla6gXFFxz13GbGFHm5zmc6bCTrJuUeJUqqaUy1BUFw8ck+DJfkUS+/N4A7H/U4REzzGHwps6YOSVtm09Sfe79d0e+HMVCieprZ+yAIguB+kCqbV1jWvOt9aA+29qlBTMRK6hotjsZRQjEpjWpl08B9mf8Co+TyBh8IXzIuQ3cq1UXn33lJlSnv9GsvEfNaQNlqui8N+blzR6KyC7zd8zKtNa/SuG9ZhBQHqEjQ9SWzMlmgwGFvOBYWQXB5UB2Hh5Ua5JJNcSl28XuS6uGbQ6k71pyRanI8qSxZM1V32UTL4gYTBEFw4SlVPX1nTkO79BaJBCoIis53YX0AlduFqvay4yPsRGnWH4r88hhslyKXnI5yE3wgc9VwWopj579sDMzrm+2w6V1JPs36lqyKeZXy/2fv38Mk6bK6XvyzdkRmVXX3OzMwMyADM4yCI7fDRUdBUOEBRBFQjnAQwRH0pxz0oHAEPAoqoOAFAZUDgiDHARnkIqByU1AYFeQiILdhBuQ2AjMwt/fS3VWZGRF7/f5Ye2dEZldVV/fb3ZVV9f08T76dGREZGZlR79573b7LcymMPaFJnNlmE8qmRFvyUHLXm4m83KTLqU9CeZQeMVNPqRDi8uOZzYaVE5GQOuSWCcHKWGPrMacKiUzO13ejI8TrWDOpf1FUVwghLj99F8aLWUTkNxxYVoyOJtLH2r1Yq65LImx9WGQklSdVnKrWf5e6Gp9mC3BCavLQn5vq2OVZVddJPdXoSFkMrOtYUuSbQxTNpqZYjVs5gVNLsy4m2rG7qVejaP2eslAZijBA7seGdM2s1OAIIa4EVYs/leaSVcCjjiVQcpePq3spY007m+wrk0tXxD9qM9zSTVkNK4UQ4gpQRVqqM3y71rGWSDRtOMNmc9g7KFLKxVm//agyyjVVORfH2DDE8yoQcJoDvjkfQaqLnzZWqQZoTeuqoa/UjIJipPXNjQjMmDZWC5bWEZd2Nlqs+9eicU9VdejLYiTnUjA7TRubRH9ayZgKceXwYlh4icpaCxT9/TyUlNQm6uimPVuSrccdWzcNK46S2ll5vj8er7FFCCGuDifVT6/nkBmkfpRI9jxxcNmd751G7uu580AYLMVoaSYyyuMby+cd0xPmEXF5jJemjSiKTzqJ2iS/vG1xDiJPr6062QAllWy7F0NTNK7bWSnSL+QehuL9rD1f1qG26R9IyU0850Y+QohHTGomaV5gTcL7MiY44VCxJkbf6hSBSZS4HV/Xf92jpu+cZCmFEEKcI2sZ5JLZU+pc1kZHrWmp69XUwOIo2oc0TWR+TVXFzKLhZM1a2visFGXjVVxmY19Na/aoNz8nLk/aWJWJm76GzZvStGGZNm1J57LRC9q28ZjNxps1m8fNmTbvWZ83j39E68+ZKJ5lP/6PQghxeTELT5ezWazfzkdVMDOYF29Y046pYrVBZdXcN8CaSHc1ODHvWAghxOWnnZcGyN1YvpBKPUsqtSklTdmx0gssx5xiJSOoSu1XB/2ayfxkZb9R0seaeNR+iADtfqk1Px8uV1hgthc/5uqIsdHkiJnh1XM5m8dioe9Gner1H0NT0jeaOM59jOxM1cPWEsnrT5hIJJfC/W5RwnaXx04UQpxCaiLXeOjWk4e1M3yYhwpMyUd2SjRlmrs828eadjRkphOM/CBCCHF1WUdfKPXdVV03jWle5bWlGoyxyVxSZZC3WnikSZR/3eewGdPCvAhVHdyIzIDq4PcMfW3A3D7SFLLLZbxAWKZ9kUw+RkLUyHhqiq41ME/g8zGKMs0B3NuP3PNqrdY/Aq/dS7du1HQRYlYKmUo/mGkERwhxualjxpCjyWTfhzZ+jcbmjDUtPhlD1mpj1UtWa/QgJoWZxD+EEOLKMvSshV2gKE8OGBZ1210P9KV2BbBZWDA1JXnaE6yq7a7TnCfpYbWYvzrsvTSoHIaQYO6GcMzXGs40A+ti/f2Ier5cLuOlX0VNSzVOjNKEJ4wKnxbxm5WC2gHIW7UpYaVa046WrkV62Vi4NLFga5E+jLUv9b1VLUCNKoW4eszmMCzLxNKVflGM9TAbnioLj9ZsVoyfieBHOw/pSyGEEALCUOhC9MWGHk8GQwOUxpNNGtPKvNksdajzTW1iaWlUJauKl+28zFE27usWpT1IbQhfRGdq4GDdhuQhf/WH/gmPCvdIF6NIHc+KvKj3YygN4vlsH+uO1oaJ57wZeUkJm++NN6sWLW2HxIxJuK7+lOWGVmPomPQ1IcQVYR21LZ6rKWvnRqEtNXlW+kdZwmok+OAxOT+EEOIq00wao0/LHLoOzzV9K0GerFXbGayqE/6YOaRuyw6zJgydut6tSmXO2AagRn/WLUOsGDPDGDhoZLzcybZaQt22OorUjLVBUcNhRfKNUsxUlMfIe9GbBbDUlp4vTHL3Jvl+688u/1nnCTal8L/mGg4RzUmTxpTTPzIhxNXCLFJGu24My0/FPeKgMSe5LcZLfVSP11TxUAghxNWj9vbqlmFI9N0kClKwyXzS1fVqdbJvOdOnERKzidER69gqKrYu5M8dY9+X6XkoKdGPbp66WMZLHko0pUY3ikLP0e0wRDyX/D5Y93oh/vVaQJ/aOK5pIlqybgIzKVyqCmSpGY0gm6SMrc9bUtPa/Vh0uI/1NtM/pkbypkJcWVKD4TiJOxqLAesU1Bq6t6ZItBfjZX5+cpRCCCF2iHYehsnhU6WwvjjOtymGSghVtTBslS9M16TTqIy16+XwuhamOtByHsslcl+WzlaUASaRoEfAxTFe8lDSwmD9y3ZLWJVGkXXidx/VF6ast3sYPcMANKPBA5udsNchuXksPu5o7jPJAawFSmZFErWmodkjy/8TQuwo/Sr8Hem09NHiQLGtaK8l2L/xkC9QCCHExaHUmqwjKRZGiqWYZzwRhfupJAslPLVlrbxFamN9W6MuTVOaXHbFNrGxtrs634YtlUxrYq28boj58Lk4xstQOlRPfxijGCFWCpK8WKA+NqGsqRfrCAvjTa9dsO9I4UgljazBqmTpNk65wf2d1qwpzUMIQYnGdjEuDcdMHNuUdNW18tjBdY0lQgghRtzHR2xgLUZVW3bUAvzUhABVMsilxrtiVoyT6mRPsHcQYlV17poXpd3tz5/WbDZNZBg9wrnq4hgvdyt6n3a6rykYTVETS00xfigRkUlHUivHTpntbSr93M/1CCEEAB5OlmNTxiY0s4nhAmDxvtWyyFaeUHAphBDi6lBbeAw9G3XYZphnaGehqNsdQdvAkKIgP1mIwGzXjjfteM62SvKHpD99US6rwjO1v2FNGSuHRj3Mo5Pzvzj5TNsFQrFxrG3xYVJrUiIxVfGr3pT122pK2KQwdmqlphOiLdtkLwW2WlAIIU4gNaw7FZ96XH1i4z9GKCauFqMDRgghxNVm79r4fLseG0ZDpP5bU5JrWlgTERlm87IWbqBtR/n+dUP2EhhYR2xqZIfxM2tN+SPk4kRe2tmYogWsU8Ngnde3liKttSfxYjRMplkbxxUt1XNtbzuuR0s1eGbqvSDElcerh6o0CEvt2OsJi15Tye5QS95kq9YlNSV91QCP8zcTJUMhhBBXk3ZelCyPjt1tZjC/htuTY+PjbsXaGIGxzjsVpcu1QVQL76frXj8h46gYNlVQqypmPmQujvFiCeYHUSg0DGVyz0SYavLj4aPUcd8BeVRI2DjfMZaqlQL79cuyaFgfN6mHaRrYO4g/Bh8m2y/OTyqEeAC4R2rXOpxeVAerpOTyMAyXdl7GpGMmAGsnzcKKx6uZRHXNWI9lj0BDXwghxA5jVtbE3dhsfRvPk94rpV+h1zRmH9V1zWA2x2omUdtGJKaugavq2Ma5J0ZQrfXOA3Q5jKqHnJF0sVbaKUHahxnxwy0PR2WehojM1OhMHiIHz2p/l4kccuWO/itpfcPuUBeLNxRZugyz67FAqTUznsPqpKiZCSGuBkNfJokto6IvIiPViGnn0KyOV3yZh/ylTZwnkc88iexOc4yFEEJcXXKGfjGuSY8VlnIstbgVkao8xFr4jobrpTF7bbBeMpBso8+hjw62dcG+jzUzNdPA8/HGzgPmYhkv20x/PJgUFDFGZ9pZGBWpBVsVWeQTcs83UsbWCX2TA3xsXumZdRitKjtYCiv4bsX+QojLQ+33NGUagXHHUsLbeYxHffFkVWNkvnd8OlgeotalFPKva/SEEEJcbWrPw6KMS+dRH2lb/cRme1h3tK5z8ZwnDrTIJrLZfFy31vqX5jjjY1Iv3pRSjpp2ZpM18yMQtLq4xotZ/Hj9kjFX3ONH39uPnjC1gD/3Y7HsVN5t/aSmaow/uE9u/kYUphop9eavpZhrwZJkTYW4UqyVVybb6uDdtNAvcfcYq4w7RT5SaZZb015rhHct+e6RHvAINfSFEELsKEMftS5OlE/UGkkHUg8ZvPYabFvwvbJWJqIpaZ91mlktg4Ay70z6HU4xSsP1SSmFwUZrkGl5xUPm4hovMNaX5K78kA3MZkXdp4mQWh5KzctWbUs8ufOc60gK63WEl34xZoRRNNsb89HXp6jhMkkoC3GlaNoxdawOCO5jg9rl7Ughq5NJ3V/HoaHbrG+pNXw1kmyMThMhhBCXH/dJPQuTWu5VlEzU7ZFqNEby16qWJc0r10bqtfZ73ZxlEmlJpc6lGC0n1YSnFPNdW2rNS2bBeKyfXa33aXKxjRezclOOqTFpmol0Mqxv5FDSvU6i3oDskz8Ei66l1VjpV7GtqU0u6/WwlXomhLj0WIoCxX4ZRkeNCrcz6BbhrVoURZh1AeTaKzJOChsTxeT8VYpSCCHE5cc9Uoa9Orwm6rprMRibONs3yxy8OtKNMEq6SeH+OkugGi61QL8YMaV2ZSPjqBpGZpsZALP9cNxNDazm0ZRNXGzj5TRyCaXVGhjYvMmnRWLqH8x6wRASp77uRlrSxoyx8Kk2vZTamBBXj1QMmEqdWPJQZConaask1v2p6rZ10eU0/M44NskhIoQQV4Nc+hauRaWsFOhXqePJOrTWTzI5tho1MK57T4yIlPekFprZZpH+lGa2mdoMpwcQHjJ3zUMws+eb2feZ2c+a2SvM7JO39n+qmbmZPefhXeZ9sL5JaTQsNmpc0uQPo2yDMFyqp3P9B+CETKnj05tW/zhSsVqbptxIIcSVo44ndzM0pk1yq+frbummcooIIcTVYN3DcFpvzWicQFmfrneM84ilkjFU0o+3173r7sd1HZyg3YPUnKCyu8WOlEacZUbsgU919x83s8eAHzOz73H3nzWz5wMfBPyvh3qV90NNz1injlVrcfrDH1fzcpxWdgm/MYnckCb62YC1YxdTIYSo3q6h1N1tDz/r4+54Mr6/bk8SAhFCiCvBRj11YUP4No8Rlalccd8Vp1gziZKwlZo86c+SmnjfSdGW6Yc/wmL8s3DXq3D317r7j5fnN4FXAm9ddv8j4K9yahHJOZBz5AumdmK4nOEST8srXxfxl6Lc+gfS7sH8Gsz3z/AHIIS4Usz28ConCRtOr/Vj4knz8tg4eP7wG34JIYTYEWqkfSMDCO5Yx1aZ/tpQ0opxkdKWn34r2l+NFms2o/onzTO1X+J8dxQv7ykXwcxeCLwH8MNm9seAX3f3nzxTqOlR0pdGcLlny1y9yxun9TBbEZoqh+qUZnNtvJjNd+ZmCiF2DEuRilprXe7ognxcCiu4O5YzHDwWxosQQoirgaWQx6+9XIAQnZrFMnVdJF/mjJQiwj8teZiGbqa13tP1apM2j9tw4E/mpNTA3vXY1i2AdMaIzcPjzMaLmd0Avhn4FCKV7DOIlLG7ve8TgE8AeMELXnBfF3nPDKu4kcMxnaxPLdin5Ahu46EqZlYMlwawKNBVLroQ4iSGHvq+aPDnie1SZZVtS1t/Qu1RdUcTGfGgOZd5SgghTiI1YcDU8X81Uay0FIZNdbJvGC1EU+SNnoaMDrKpGExxnB0fgCjtRyDWup5jXQ3hkBu60jbkfNbAZzKbzGxGGC4vc/dvAd4O+K3AT5rZrwBvA/y4mf2W7fe6+1e4+4vd/cXPfe5zH9yVn4T7KId8kvVZn28X154WmDHij6kqNuxfj6iLEEIchzt0S6wpfaesmYTti2Z/dYQcN3mYxQS1Wkgq+SHzyOcpIYS4GxMDY3OO8LE/i1lRyPWx2eTa4XXCvLI+711MAPdxnqrG0VQEYNrn5RFzV5PJwiT7KuCV7v5FAO7+08BbTI75FeDF7v6Gh3Sd90CVhUvjazjbD5wS5JOqan1UE3PC6kx7D+aShRCXjzrYpwabzXA8Ai4bY9EpCmXricmjEHOm8UYIIa4kqS1SybCRLlalkXPNNPLxkHX0ZXtNO1HNPY2mHZswTwWrqspZFQE4h9KJs8R73gd4CfDTZvYTZdtnuPt3PrSrelpY5PH5DKia2NPdJ6WNnWClVjwTqR2ld8y6u6kQQpxAUYHx3E+8Xffw3lqIqfFGCCGuLrXOeuji9bo4vwnDZfBS9zKE6MtGr7ATIjBQhGLurHUxs7Ehe523tksszjGj+a7Gi7t/P3e5PHd/4YO6oPvGfSxiciKMVhUXPG/m+sEJluJJUZdCauOG1vMJIcRJrAf8JrxmlIngLMqH1k76Rvndw/tCCCEuL+ua6xnrBshDV+pdLNa/G2tc2OxveAwbzSyLAVPnmirXPKyKE665U57ZObe56fJUmw9dCW1ZyScvBobF5G+e8X4gtAamlEhK3KVTPsDiJvreeMOqprYdU2wrhLjamIWUerccnSpnVJW3JkWaWHWWtJdnqBZCCHGfTGWPm9IOZOhhWIY4zLaT/riSiWkGkpcm7BUfwKPgf13InzvCiTZnnMPsXAWrLseMWG/ehrRb7XpfCmPdMVvi3bTjaLlpVtR+6jlOWmDkAfccNzQPwBD2jk0WGkIIUWnaGBf6HvzobO+Z7bPuKVUNoHQ5hmohhBAPiJpa7DmiLDZtRFmP2ar/jo1lUwbynQYPGbLhlsKRxuS8zWzMaGpmD++73YXLMSNOc/s8lz4vxUjpVuMCwjM2PwAzfLUAvNzCiazctrxcpTb1cQfzKOyvXa+r8dSe340UQuwgQx/jUT+RtTyNZoa1bRza7seYIqeIEEKIk7CGsRZ72uT4GINlTZFXvqPxZW3IPinEr/U1OUP20ammyMsDwn1TVtQSVOW4tuQJNi3kIeRLpxaqUxr9cPxiIc1CNQhKi4YckszNDLCi9CDjRQhRyEOkjPUdlofiIDnFgLFUorqE6IgMFyGEEKfhXhpHTqIpZ5YvPuG46qSfBgZmZX073x9bhpwjl8N4qXrV3ZJ17t7aYkxxM1MLqTbY2bq5blgImY4huI2bmqJYqUZaps1+8lC2a5EhhJjQdzEsFG+YWQJz3P2EpmAF9/Bq1bFFBowQQojjqNlG60hK4W7aMFXu+I717qT8wkujyqZkA8zmO9OY/XJI2JiVHgiT1K+1vFt57kNYjBuScNNipdL0J5VGcuumcm28r5mPtS4bhk99b4MQQqypTpJhYJwQLIyYk5wd1oaHKw8RRV4d3YMXTQghxJVi6CLzpy9F9VBUcRkd7dvYJEpzh4XjoyhV04bBUsUBZvsP73vcI7thQj0IzOJHzh0blmM1NmpRfWpiQTAMd/ROsCIH554maYMllYMBaMZCWq+SyWmshxFCiDXF2ZEsauSmMpN1//S1GXgfgoilNi+8al2MbUIIIcSUvo86lIkR4tsOr3uO3ldnfnnMDsba8R3hckReKrN5URar0nFdadpTOlTnHHnk154Bz3j2iQaHmWEprR/hJLVND2qN0swPQnt7h26qEGIHqAIe63TTqX7+xMGy4R2b9KuKncUhI4QQQmxRneh3NGS/y/vu6nC3qPWe9krcIS6X8WIJ9h+LH7yGvlIaG70tb491Krm/S3MdHx++tbigGC/zAxXVCiGOJzXj457GiJpqVtH4IoQQ4hjWmT+npIcdt72WVBxLKaeYlZYjw+rBXOsD5PLlOjVN5IwbcXOGYZRN9gEW1YDJEZm5G55LET/QWKiL7V0/OZdQCCEgxofq3fJ5RH83au5OodbLuEuCXQghxCZeovRWK/Nr9OVeUsZOmY9SG/WZtbB/x7h8xsuUPClGqqpj/Sos1WMtyRPkGVITeeuzA9g7uEvERgghCu1e5CPn5eb2u+Ykl0mobc+1EZgQQogdo8rww6Rmksg6ygNGxk91lNlWdP8YhgHPjuHQzOMza7+XHeByGi+phXw0WqWWSuoXY/7euhHP9pvrxmbcmSwaxqVmfJ8QQpxE9YoNXfwLxWnSc6yDZKMhWBMKh/NrkZ4qhBBCQKnhXrGuv6412akflXc9h1rlMCqQbWBWivxP0VOuMv9NU4ylYgylZifqvC/fzFgb9qw1rIkIjJeGklXu2KphcsxPkGbF49mWwvzyb+5DqSzfxWIVQlxthh765Zj6ZQB+uteqGjDJxjFHCCGEWONsKFf2Xcw1EGvTWipRVXaptS0pHmvhmOow2zZCisO/ncUcVOewep48nK3k4iFz+SIvfRc/9GwOXWncg20uDNZCPmV7vUEVzzCUlDNLo9FTG/r0qyjWF0KIbbY9Y6kJx4eXurvTsDLBdMuxEFO1dUIIIabkiaoujDZI7mPpiuMGYbBM5pD6POUwdI4zYKwdSy0orUKGEgDA4nOb8xWrunyuvXWeXymWtSJ1bB51Lj5pKFklj0/KN4cSMtuWLlXkRQhxGtM0sNo0l9MH++olM2LMWd4OI0ZNKoUQQgDryAh5lNGvc0ttsp7CcWbr1LLxYe6YnxR1KTQtpGby/mIq5P4RfL+zcbEjL1X2uEZIbBISg1GidOhLAKbk6sWbN0Nf9X011Fb7xVT7LufxmB0pWBJC7CqTaC+UKG+J4g7DnRGY2s14nSpWnCT9Kt7TNI/06oUQQuwgtSH70eqEhse+caxtZBVN95U5Zy1sVbKUrIHZXvQ49Nqc3cb3e74P+f8Hz8U1XjzDarkpPdo0oYqw/tHT5MeeWI9WcsrXMnOwIRlXu4rm8jm0RJ5hadTTnNDtuhbpVus0tUr7EOKqYRZOkn4RQiFDcbCkBGkOTQddtznRtO2WU6Q4UXKO8UTGixBCCCg1KfPigLct42Ji0EwzALZPYeCpmcw7YbxY026uqz3HPDYVq2pPWAM/Qi6u8VLrWdIkYjIMYEP0YekWcYwPjGG2Em1pZmFU9BPLc8jjTa9pYWaR+xcfEOdp947vTOpeUjzK50F4TX2I98iAEeLq0LTR26VbTIodKY6UWYy8axWy41JXy7HrgkshhBCiMKvzyxDKYVVFdx1BmdRpw7Hpx3ZHv8LyvNbTpHZMSTPi9Xx/J7KPLqbxUtPFjitCyn2oJMwPihVaoia5Fh6V96YmjnOAfOeNzUPcoL39cvPa6PNykgKQ54kOtm2epza6FEJcDerEkWahup6rAkwe5StryrFve8fq87L9OGeJEEKIq4sl2L8BRzfBu7HkYR14Me6IwpyF6XzkPmYtNc1OOeIv+azoozGxYZUOkX8+O4h7entxwr0tymLVGKoyy9VjuhYEsGIccadBlf1Yi1cIccnxYbOQEoO+pJBNpS6nr+ON4znauSSThRBC3EnTRj+w1WExXHyibMnoeDeH/rSmlZVJ3YtZGCzzg8hW2rF56GIaL2v50TxxUpYFwLHdqG1MD8ulbqWGvpa3WSv8HGdQNuWGdYv4IxhWkwInYnFRDZvTrlcIccUwonCuSiaX1FUmXq14cnJ0NiliK4QQ4gSMieDUJCNpI12ZrUhMfeMpDSqtgb1rO1Hfchy7ZUrdC7P5GPGoxkTTjCkWtWh22mCnhr7m14rxM4wRk5Owcs7a/LKqm1H+6ZdjTwZLY6TFPZ6nLQU0IcTVoKalTmvpav7xWf0ZvaSShRBCnEBVxu2LYz2XtWc1aupcc6wTfXtbVRvbj3XyDqcsX9xVtaWInsz3YbYXP/Z2Pl4zK1ajj4uGdm+82VU97ETL0kbPZ81XhzEVLVnJQiviAfO9zY6kKcW1KfIixNUjheQkMHGS1FqY5hQDxsaHs6n8IoQQQlT6blyfei6iUTnmjrQ1yRwrDlMc+1Z6xDRNPLyH5dHO9jXcXbPqLJidXghf9bDbGWHAEPUqRzc3U79SEyoKGw147JjipGNWG2tFh9L8cr4/ekpltAhxtSnNvkLpcCjR3qGMEaXR2FTqsqawOqzFRfoOWtu5nGMhhBDnSM5jLzB3xv5h074vjNtOkU6ONXJx5q/T0HJkFt2tNOIcuNjGy70ydLA6GtPIarFs9ujdYmks7K9yyjCqOKS8mSK4btOwVTCzYzdZCHGOrJXHfOyAPOTwbFUpZJvWv0zfm8KAWR2FY0Q1MEIIIWCMiqwjKmU+mWYJTdXHpuve47DSIzGnUWTGq6N/t9a1l9t4cQ+vZS2yX0dWbIza1FAbHhGapjyGVfGUlgaXewfxfHl7MwWk1tnIKyqEOA1LY61d07AZdbGtyC/jPises34V6bFyjgghxNWjNl2vKrfTuaA2Vt82TFITc0smnGQG6wbu62PT+HzdimS6pt29OedyGy9DFwWvddEw9NwRNqvWapVDrqR9aLca/qQG7LGxGaXZpK5GCCFOwSzGmH5ZmuwSE05qi/hIE04T91Gqkjz2pbqbuIgQQojLh5cG60M32hs1OyiVjKGacjz4qG5pNgpJpWHtLwNGpxmwllmeKpXVmvCmPdlh5nnSbLkZjapHwOU2Xvpu/DHXDXyG8abAeMOOUwSb3txK00BzTXUtQoh7xyyiJ80Mloebg32dgKZFlU5xlKQ7hiIhhBBXgKEv69kqFFWMGSPkjJeH8byqjG3MIR4GyDBt7L4VnZmKwjgRofEc5RTt3snX1C0nG7r4nHb+SNbFlzfXaS2RXDCDdmKrrQtn8+jpvBe2Q3ZCCHFWUrOphFjHq2kPq/X4lGOiSqd4wIQQQlxOcr+55qzPh1I3uX8D2v1Y49YICFNDpQjEHOOP36AaR6mBvesnpyl7SWOuEZ5qLA39I1PHvDyRlxrmGspNTlvhNCjpY1VVbPJHkFKkcjSNFgdCiEdDVXWpHZGbdmLIbE0AhsYmIYS4ipzY62uaATQAqZSvnBJZgYmi5XGnszCEan/Dqo6ZJuvjOk9Na71rbebQPxJhmcthvLiH8TEMk5tSPJVV/3qdOmYRCtv+0b14One4KY8Q4hJhVmTcZ/HaMywOI8qycVwaVceEEEJcLVIzrm/XTGsjYVLMMqaWVSOmioX5RC7ZuDM7aS0gk+PzVkesswMgUshmJ6SRUc6vmpd7wPOYzze9Kd5Hn5duFRN/OwOblVzB40Jh5QZNPZ+PsABJCHEFWI8vEzUx90lBfvWm1Xo9xjFOCCHE1aKdlVKHLUf8VCyqaTePqc0ncz8qlG2HW45d207FAbYMoK4YM+0e69Yi654wJT0tPRqz4nIYL0N/Z1qFGXT9xKhJcVy92dvKCjDKmHaLcSFRFYLUX0EI8XQZusgVXitUpije70vhY1VuqdEWKM6YDM3lLVEUQghxApaiz9fQx9q0SUUFbDInNLM7046dUaxq2vPlbjjFCKqfb6MgQL+KdfRsLwr212tlYvsjahtyOYyXelOmRqTnUOlJ7Wh41CKjqrzAxKJs2jjB6jA21BvgOUJne9cVgRFC3D85RxR4qhiTM/SHpehx2sDSgYmXDSLdVQghxNXD0ultOdZKlvOxTsUzLGvE3sdoybFWTKn/9nLstE3I9DOgZDLNw6A6pyyly2G8pBboNqMpNT/QtmtbyvHrwv3yuobctouQKGG3bhmWpgwYIcT9UMebqWJMNVJoxnD/dD+M0RnV4wkhhDiNqv6VMyxube6z8p+1gTLZsS7I99HAcdsULYNNI6U2ez8HLsdsmIpFOqwirAXlBz9BPaw23qmFsmu2rNFcG/B4CY/1xbK9HD+bEOIR4s6xMpXOWIe3rRJTVRPn+4/iCoUQQlxUco7sotoKJA+MKlbTYv1SEzONmsDovLemRG4GyFOHWhrVfM+Z87+CB0U7G6VGIe7V6uiY2hY7uX7FJull9Y9gnbJB3MTlERzcUARGCHFv1C7GtXcLXpwtk/C8WUSN3WNMS7M7c5uFEEKIKTlH2YMT80iV4F83d9mqrZjtFwd9x8YcVP9tZ6Vvy0SOudbe7MD69/IYL3BnCGs2j4jJ2plpp6d+1fSMxe2wOKcMfSw0UpKkshDi3mnaouKyGiUrp9HequxSVVu6JbAac5l3ZNIQQgixYwyrsR8LlOhJyRxKTZluyrq2pogZY5nEOhozaZycUvR8WRfu74767uVegbfzsZZlI6fvFPpTOoR6DgPmEXUQFUJcIqbylfimUwWPyO4dhZTFmOkWcdhJHY+FEEJcXYZhS32sqOcydYpVtoyUdc33JHPJ+tiedsdgmXK5jReIm3lWidGcoV/c/bgTu50KIcRplMZi1FxkJj1fGKMusOUJK52LW9/JiUQIIcQjZCNC0pRGlv1mfUpqxj4vsbG8t6Yup1C+NCuSx5O17UCJuuzmfHP5jZd74Q7r9BjMHpmOtRDiklGL8n3yvLIx/tQ85cn7YJxwhBBCXE2GPnqDTetRahF9dYZBicSkiMJQJPqrQ6ydRZnE6igk/O9QH2shd+CznTRgNAtOqQVJJx8QXtNzkoYTQlxwUjtOOFNDJbXFA5YYiyvZjMRwt/FJCCHEpca9NDW2MeJCKdBvZ6XBZEkBa9t4NG0YMLVmpUb5jVK/PRWOqQ0th7EB5Q6iyMuUlKKgf3V0/P6mgb0DRV6EEPdHFfroFuPEUBvkmsGsjfFnmn9cJ5S21dgjhBBXmVyK7rebRw4D5NVkXzFuhmFs+QGjAyz3sOiizps61zhQjZfdNVxAxsud7F0La7Rbbi4uZnvxOElmWQgh7kaVoExNqMPUZroQnZFrKL9bFJnKHFGZdnZ6d2UhhBBXgy3V42jv0Zc6l3ZMSe5Wk/qWQu4nyrwOlicZY6W3S03KatqdTBkDGS93khLs34C963HDd0gaTghxSUgJ0n4U4NdeVHWcSSmcKEIIIcSUGn3f6GFYDJCpsWFWIvhVKnlatF9VxSbCMWsLphgwaQbt3sP+NvfN5TdepgWx92KEbPeMEUKIB40cI0IIIc6KpYjC96uxOL/2ZLljPqlN1tvNtXC/2kpNvuNDipG0u8q6l9d4qdKiQzeG2JrZTofBhBBXCM8R1s+TxmGzuYryhRBCnExNPc59vLYGVodb0Ziy8E1V1bJE+aeSyGv1y62GyXUOWhzCwfWdnJMur/Ey9GFd2uTm9aWYqZ2d77UJIa427rBabk42OUetnRpRCiGEOI2UIE3qINu9Ip88SQNrZsWR393ZBsSIY6sBNMV76Iaon+n7cKrtGJfXeFkXJU3y/+p2ZLwIIc6RGrKfqocZYcB4VsqqEEKIs9POQhG3ZhulJjKN+q6sh7kzwjIMJ5+vigDkDpDx8ug4qdnk3ZpQCiHEQ+eUcUhjlBBCiHuh1mlvK+L6EEZMzoyF+lNp5Lsw7KZk8u4lsj0o7LhiI9/J3D0hxBXDJooxlWm3ZCGEEOJpU5oeH1ucfwbjZUeno8u7km9nkc/nuRQk5XitehchxHljKUL8tYiyPmoXZCGEEOLp0rSbNkptYHlWq6TZzQSt3byqB0FqYL5f8v9KDnkzU4dqIcT5YxYFlkM/FkxKDVEIIcSDJJW1b00by1VWOUXt5XEF+xVrQkBmB7l8xotPwmOWYLa7TXaEEFeEOi6ZjZEVq5FgRYOFEEI8BMxCLaxpQs2y9oaBMEyG1fFqZO08GrbvqDPtchkvVR65KiqkBO2+oi1CiPNh3W9qNYbuUxNOlR2dFIQQQlwyUgPzg7GUYu1IO5hEYNK4/diml7vD5TFePIfG9bozaNnWLeKG7fBNEEJcUjzf2W8qD7FNUWEhhBCPiqpItk3T7mxty0lcrKs9jWEo2tYTI6Xm9KlvghDiPOi7Uhu51W9q6CMsL6eKEEKIp4vnaCjpA1BSku+QTfbNOstaD3MB56HLY7ycJPlmdve+CevGcCVcdgFvpBBiF3HuUHWpY5JnIE3GJ9f4I4QQ4t7wDKvFZLrJsBrCQTZV2O27qG+pc0zfhYN/tn/h5p3LY7ykBliNuXwwyo+eVvOyWmwWK9W8QNXJCCGeLqkp0ZfJxFDHmm55p8CIWUw4FyyEL4QQ4pwY+q21buntMnSjgqXn0XCZZgJ4LpkAF0s45vKs0C1F+KsuBqosXDs/uW9CvyoF/nm8mXmA7khdroUQT58qz+4lupt9jPTWf6vACAA2jklCCCHE3cjDnZETKwZMnVtOa4J8Aeeby+Pem3osh9o3oT3ZcHGPqMv6xk7k41QnI4R4EJgVOcp+NFhynSjqxGLRQJc8jlfDAO3l8S0JIYR4SFgC79lIUfaJQ2z67zQ7CcoUdPHmmstjvMCopLBdpHQcQ8eGtxMYFxKTXUII8XSo/VxqXrLZmJtcoy53eMM0AAkhhDgDa6e9T2oqfbMY3yzWxnmYvLEc31w8R/3FM7ceBFVxYdyw+XyaE+geaRyrRfybL154TQixA+TMWJS/tc8nof0qp7xaRL2MUliFEEKcxLR3WC7zRTvbrGMxi2OaFijzTG3kfgEjL3e9YjN7vpl9n5n9rJm9wsw+uWz/h2b2KjP7KTP7VjN71kO/2gdNmgaeJguEZj7mqXeLsRhq6MfXQghxPxw7UdSo7zDWx3gpuOwWMmCEEELcyTrK0kaK8t5BiE6183F/pRow82uwdy2OP0um0g5yFnOrBz7V3d8JeC/g/zKzdwK+B3gXd39X4OeBv/7wLvMBYzYqMKSWjZ+hmcO8NI+rRotNuo5im+pkQghxFlLDOuSSSj1eHVPaObRtOE1SE+mvdcy5I1IshBDiSuMO3QpWh/HoSg13TRtbLcq+ozhu24iZZhhdQO5qvLj7a939x8vzm8Argbd29+929zqj/hDwNg/vMh8CzWw0SprSqKfdg/n+eEwuzX6mnKVvjBBCbFNFRWpRXc1B3rsWnrJmDtjxkZkLqAYjhBDiIeAO/bLUbls8hpJqnEvG0FSEauji+EvEPRXsm9kLgfcAfnhr158FvuEBXdOjoYbPanrGsQ0qE7BlwMhwEULcL027WTSZmklBZTlmWw0GLrSHTAghxAOk1kUe17Ol9g/b7lU4DNDkS9PD8MzfwsxuAN8MfIq7PzXZ/plEatnLTnjfJ5jZj5rZj77+9a9/utf7YKmez7qg2F4gtMW2mxbT4mPKmRBC3Cs1bXV7HLGSMlaLKWHSPPdyCUPuGjs9TwkhxJR1Y+MTerZsb14fN5lXcr7QzvgzGS9mNiMMl5e5+7dMtn888KHAx7of/yu4+1e4+4vd/cXPfe5zH8AlP0Jq40tqF+xiuDQXqxOpEOKC0M4nBkyZhNr5pfGW7SoXep4SQlwtLJXs42OW3cemHZfjug4On4Kjp2Bxs/x7uCWffDG4qzvPzAz4KuCV7v5Fk+1/GPirwPu6++HDu8RzpPZnqNJyXOwCJyHEjrNOZ500sNSYI4QQopJS1GoPPesYhJeUsHYvUseyT1KRa3PkY4RfcgcrD5WyCySZfJZchPcBXgL8tJn9RNn2GcAXA3vA94R9ww+5+yc+jIs8d6wURAkhxKNAY44QQoiTaEt/ltyPDSnbecwd8z3o+9gHEVmpjZGPoypaVnnlC8BdjRd3/36O/8rf+eAvRwghhBBCCHEia/XKYwwOSzCbg88iCoOB3aW+JV+s+hdVgQohhBBCCHGZcOdMMvs1TblbQbKScmY7LU4l40UIIYQQQohLRYmm3LU/oY/pZ9PWIUMXNZipeSRXey9cnOocIYQQQgghxN1ZF+AbJy/3S6P2Y4v1DfrVTkoqy3gRQgghhBDiMmEWhfxmpXK9poBZ9A6bXytquqlEXRiNGM9jxOYsqWePGKWNCSGEEEIIcdloZyGhPPRjP5c0aZI8dGc4ye7Vvch4EUIIIYQQ4jKSmpPrVlITRk2NztSIi6VJ/cvuGS9KGxNCCCGEEOKq0c5HQwUmmWUGeOkns3vGiyIvQgghhBBCXDXMQlHM86Qw38OgsbSThgvIeBFCCCGEEOJqYga2e3LIp6G0MSGEEEIIIcSFQMaLEEIIIYQQ4kIg40UIIYQQQghxIZDxIoQQQgghhLgQyHgRQgghhBBCXAhkvAghhBBCCCEuBDJehBBCCCGEEBcCGS9CCCGEEEKIC4GMFyGEEEIIIcSFQMaLEEIIIYQQ4kIg40UIIYQQQghxITB3f3QfZvZ64NXH7HoO8IZHdiFPH13vw0XX+3DR9T48Lsq1vq27P/e8L2IX0Tx1buh6Hy663oeLrvfBc+I89UiNl5Mwsx919xef93WcFV3vw0XX+3DR9T48LtK1invjot1bXe/DRdf7cNH1Plwu2vVuo7QxIYQQQgghxIVAxosQQgghhBDiQrArxstXnPcF3CO63oeLrvfhout9eFykaxX3xkW7t7reh4uu9+Gi6324XLTr3WAnal6EEEIIIYQQ4m7sSuRFCCGEEEIIIU5FxosQQgghhBDiQiDjRYi7YGZfbmZ/87yvQwghxNXhUcw9ZvZCM3Mzax/m5wjxIJHxInYKM/sVM/vAMx77cjP7cw/7mtz9E93975TPfD8z+7X7PZeZfbaZfe0J+37FzI7M7Nbk8byyb8/M/p6Z/a9yzP80s08zM7vfaxFCCBFc9rnnYXDaNZnZS81stTWf/YnJ/o83s582s0Mz+w0z+6dm9sxHd/XiIiPjRYjd4sPc/cbk8Zqy/ZuADwD+CPAY8BLg/wS+8JyuUwghhDiNz9+az74BwMw+FfgHwKcDzwTeC3gh8N1mNju3qxUXBhkvYmcpnpnvN7MvMLPHzeyXzeyDy77PA34/8CXFo/MlZfs7mNn3mNmbzOznzOyjJud7qZl9qZl9h5ndNLMfNrO3K/vMzP6Rmb3OzJ4qHqF3mbzvc83sOvBdwPOmkZHiOXr25HN+p5m9/kENwmb2AcAHAR/h7j/j7r27/xDwp4BPNrPf9iA+RwghxOWee8ysKd/rDWb2S8CHbO1/uZn9HTP7gXKt321mz3mAv+0zgM8B/pK7/3t379z9V4CPAn4b8DEP6rPE5UXGi9h13hP4OeA5wOcDX2Vm5u6fCfxX4JOKR+eTygD/PcDXAW8BfDTwT83snSbn+2hi4Hwz4BeAzyvbPwj4A8CLCE/QRwFvnF6Iu98GPhh4zVZk5OXl+MpLgK939+4B/QZ/EPhhd//Vrev5YeDXiIiMEEKIB8dlnXv+PPChwHsALwY+8phjPgb4M+W7zIFPO+V898p7A/vAt0w3uvst4DuJ30OIU5HxInadV7v7V7r7AHw18FbAW55w7IcCv+Lu/6JEJ/4H8M3A/zE55lvd/UfcvQdeBrx72d4R6VjvQPQ/eqW7v/aM1/jVRBQEM2uAPwn8yzN/w03+jZk9UR7/pmx7DnDStbwWeO59fpYQQojjuaxzz0cB/9jdf9Xd3wT8vWOO+Rfu/vPufgR84+Ra75VPm8xnbyjbngO8ofwO22g+E2dCxovYdX6jPnH3w/L0xgnHvi3wnpPB8gngY4Hfctz5gMN6Lnf/XuBLgC8FXmdmX1HC22fh3wLvZGa/lYiSPOnuP3LG927z4e7+rPL48LLtDcTEeRxvVfYLIYR4cFzWued5wDSK/+pjjjn2Wu+DL5jMZzX17A3Ac+x4dTPNZ+JMyHgRFxnfev2rwH+eDJbPKuH1v3Cmk7l/sbv/LuCdiBD+p5/hM3H3BeGd+lNE2P5+oy4n8R+JifH5041m9p7AC4D//IA/TwghxMlc5LnntcB0LnnBWa7xAfKDwBL449ONZnaDSI17+SO+HnEBkfEiLjK/SRT4Vb4deJGZvcTMZuXxu83sHe92onLce5ZCx9vAAsgnfOaz7U5Jx68BPh74o9x9Aklmtj957J12sLv/R+A/Ad9sZu9cCi7fC/ha4Gvc/efu9v2EEEI8MC7q3ANh7PxlM3sbM3sz4K+d4T2nsjWf7ZudLOHv7k8StT//r5n94fJbvbBc1xuIlDohTkXGi7jI/BPgI4sazBe7+02i2O+jgdcQoe9/AJxqHBSeAXwl8DgRRn8j8A+3D3L3VwH/Cvilkh7wvLL9B4gJ58fd/bgw/JQ/CRxNHr94huv7COD7gH9PTG4/WJ5/whneK4QQ4sFxUeceymf9B+AngR9nq3D+PnhrNuezI+DtTnuDu38+8BnAFwA3gV8GrgEfWMQJhDgVc78jEimEuA/M7HuBr3P3f/4IPuuridzlD3H31cP+PCGEELvJo5x7HgZm9meAvw28j7v/r/O+HrH7yHgR4gFgZr+bkMp8fvHCPezPmwF/hciz/qGH/XlCCCF2j0c99zwszOwlQOfuX3/e1yJ2HxkvQjxNShTkw4FPdveXnu/VCCGEuAqcNPeY2ZdTJJS3+Fp3/8RHc3VCPDxkvAghhBBCCCEuBCrYF0IIIYQQQlwIZLyIh4aZ/T0z+5RH9Fm/YmYfWJ5/hpntfOGimbmZvX15/oVmdqaeAEIIIR48mrNOR3OW2BVkvFxgpgPJZNtnm9nXntc1Ta7jucCfBv7Zo/5sd/+77v7nHvXnTjnu3tyFLwA+w8zm9/AZH2Vm/83MDs3s5Xc59kPM7PuLxOZvmNk/N7PHJvtfamYrM7s1eTRnvA4zs39gZm8sj39wms6/mX2Mmb3azG6b2b8xszcv2/fM7KvKvptm9hNm9sFn/DmEEDuO5qzjuaxzlpm9u5n9WJmjfszM3v2UY9/czL61zAuvNrOP2dp/7LxxFszsA8zsVeU6vs/M3vaUY19Yjjks7/nAyb6PK9/jKTP7NTP7fDNrz3od4sEh40U8LD4e+E53PzrvC7kIuPtrgVcRjcbOypuAfwz8/TMc+0zgcwl55XcktPm3ewl8fukKXR/DGa/jE4ii0XcD3hX4MOD/PO5AM3tnYnHwEuAtgUPgn5bdLdGp+n3L9f4N4BstGpgJIcTD5OPRnHVm7jZnFaPm3xLNlN8M+Grg355i7HwpsCLmhY8FvqzMF3ebN07FzJ5D9LL5m8CbAz8KfMMpb/lXwP8Ang18JvCvi2EL0YvmU4DnAO8JfADwaWe5DvFgkfFyyTGz9zaz/25mT5Z/33uy7+Vm9rnFe3/LzL7NzJ5tZi8rnoX/Pl04nnauY/hg4D9P3vt+xVPxV83sdWb2WjP7cDP7I2b282b2JjP7jMnxycz+mpn9YvHmf+PU02LRyfjVZd9nbn3nDU+emX1TiTY8aWb/pQ6IZd9LzexLzew7irf/h83s1AZbk/e+vZn953LeN5jZN5Tt/6Uc8pPld/0TZfunl+/9GjP7s8ec8uXAh5zlswHc/T+6+zcSTdHuduzXufu/d/dDd3+caFT2Pmf9rLvwccAXuvuvufuvA19ILASO42OBb3P3/+Lut4gJ5Y+b2WPuftvdP9vdf8Xds7t/O9G87Hc9oOsUQuw4mrMuzZz1foRD6h+7+9Ldvxgw4P2Pua7rRCPmv+nut9z9+4F/RxgrcMq8cYav/ceBV7j7N7n7Avhs4N3M7B2OuY4XAb8T+Cx3P3L3bwZ+ulwb7v5l7v5f3X1V5rqX8eDmUXEPyHi5xJSB8zuALya8CF8EfIeZPXty2EcTA8RbE11xfxD4F4SH4pXAZ93Duab8b8DPbW37LcB++ay/RSyg/xSxOP39wN80s99ajv1LhDf/fYloweOEZwYzeyfgy8p1P69cz9uc8lN8F/DbgbcgOgq/bGv/RwOfQ3iHfgH4vFPONeXvAN9d3vc2wP8L4O5/oOx/txLB+AYz+8OEh+YPlmv5wGPO90oievEo+APAK7a2/cUyIf+YmX3EPZzrnYluzZWfLNvueqy7/yLhbXvR9oFm9pZl+/Z1CiEuIZqz1lyGOeudgZ/yTUnbn+L4ueFFQO/uPz/ZNp1HzjxvnHAd0/feBn7xhOt4Z+CXtvrlnDafHTePikeAjJeLz49b1DE8YWZPAH9tsu9DgP/p7v/S3Xt3/1dEmPfDJsf8C3f/RXd/khgwf7F49Hvgm4D3uIdzTXkWsN0wqwM+z9074OuJ0Os/cfeb7v4K4GcZB8JPBD6zePOXhLfkIy3ySz8S+PbihVkSXph80g/k7v9f+Yx6nnczs2dODvlWd/+R8p1fBrz7Sec65vu8LfA8d18Ub9FJfBTxW/9MGTw/+5hjbhK/20PFzP4gES35W5PNX8w4Wf5N4KVmdlaP0g3gycnrJ4EbZsfWvWwfW4/f8KBZNOF8GfDV7v6qM16HEGL30Zx1NeasM431k2OfOuXYeznX072OMx1bIlEvJmp/xCNGxsvF53e6+7Pqg836h+cBr946/tWEF6nym5PnR8e8vnEP55ryOHf+D//GSR1FzSs+6fPeFvjWyQT3SmAg8l2fR9RGAGtPyhuPuwgza8zs75dQ/lPAr5Rdz5kc9huT54eTa7gbf5UIg/+Imb3ihLB6ZeOaufO3hPi9njjuzWb25TYW0n/GccecBTN7L+DrgI+cernc/cfd/Y1lkv9OYkL842c87S3gGZPXzwBubXncTjq2Hr9eNJhZAv4l4Vn7pDNegxDiYqA56wrMWZxhrL+HY+/lXA/zOgAwsw8H/h7wwe7+hjNcg3jAyHi53LyGGFCnvAD49Udwrp/ibCHdk/hVYmB41uSxX/JMXws8vx5oZteIMPxxfAzwx4iQ9zOBF9a3PY1rA8Ddf8Pd/7y7P48oUP+ndrJay8Y1E7/dNu/IZvrV9LM+0cdC+r97P9drZu9B5BH/WXf/T3c53Dn7b/QKNlMH3o2TQ+kbx5rZbwP2gJ8vrw34KmLC/4ji8RRCXA00Z12SOYsY6991KwL/rhw/N/w80JrZb59sm84jp84bd2H7vdeJdMPjruMVwG/bqqXZmM9KOt1XAh/m7j99hs8XDwEZL5eb7wReZCEx2JYivHcCvv0RnOs7idzf++XLgc+zImloZs81sz9W9v1r4EPN7PdZKJf8bU7+W34MWBJermvAPS38LQpEP/uEff+HmdW85ceJBX9NBfhN4LdNDv9G4OPN7J3KxPVZx5zyfYk0iLNeW2Nm+0RRZDKz/ZJuddyx7wL8e+Avufu3HbP/I83shkXR6QcRed3/brLfzez9TriUrwH+ipm9tZk9D/hU4KUnHPsy4MPM7PeXSeRvA98yyTH+MmJC/DCX6o8QVw3NWZdnzno5EXn6yxYy+DWK/r3bB5ZI1LcAf9vMrpeU5T9GRODhLvOGhYjBS0+4jm8F3sXMPqLMl3+LqMW5Ix25ZCP8BPBZZT793wmD65vL57x/uZaPcPcfOeHzxCNAxsslxt3fCHwosZh8IxEy/tD7CXPex7m+BvgjZnZwP9cO/BNi8fzdZnYT+CFCmpCSa/x/EelPryUG4V875TpeTXjbfrac5154PvADJ+z73cAPm9mtcq2f7O6/VPZ9NvDVJYXgo9z9uwhZ4+8lCiw3BnAzeytiYv0393BtLyHSFr6MKB49IjxC9Zy3zOz3l5efCjwX+KpJ+tnU8/TJxG/0BCGh/Ofd/eXlPM8nwuYneZn+GfBtZf/PEEWy614J0+so9+4TiQngdcRE/RfLcW9LeAPfHfiNyXV+7D38JkKIC4rmrPV1XPg5y91XhIDBnybmlT8LfHjZXhtzTg2fvwgcEPPCvwL+QvndTp037vad3f31hFrY5xG/+3sSggf1e3y5mX355C0fTdSyPE6kNH5kOQdErdIzge+czE9ndjiKB4cdn5YuxNPHzP4u8Dp3/8fnfS33Q/FQfaO7nyav+aA+6wuJwtMzadc/SszsTwHv7O5//byvRQghHhaas+7ps3ZiziqRrJ8E3lVpxlcHGS9CCCGEEEKIC4HSxoQQQgghhBAXAhkvQgghhBBCiAuBjBchhBBCCCHEhUDGi7hvzOxXzOwDy/PPMLN/fsqxe2b2s0Wh5GFf1/uZ2a9NXr/iFJnfncDMPt7Mvr883zOzV5nZc8/7uoQQ4iKjeerBoXlK7AoyXi45pT/H7Yms3y0z+6uT/S8ys28yszeY2ZNm9lNm9lfMrLmXz3H3v+vuf+6UQz4B+C/u/tr7/S73i7u/c5X9PQ+mA/5ZcPcl8P8Bf+3hXZUQQuwGmqc0TwlxL8h4uRq826Q7+w13/3wAM3s74IeJzsD/m7s/E/g/CI3zx04+3X3xiYwNp8Td+Trg48xs77wvRAghHgGapy4emqfEuSDj5WrzOcB/c/e/Uj1N7v5z7v4x7v4EgJn90RLOfsKic+87HnciM/tsM/vaE/a9gOjc+8OTbS81s39qZt9VvGw/YGa/xcz+sZk9XsLR7zE5/nlm9s1m9noz+2Uz+8uTfQflfI+b2c8Sjbimnz9NG/g9ZvaD5fu81sy+pOjE12PdzD7RzP5nOeZLzczO8mMWz9UvmdnNco0fW36vLwd+b/me9Xd9tpn9OzN7ysx+BHi76bnc/deIJlnvdcrv/Y1m9jXl815hZi+e7P9rZvaLZd/PWnQKnl7n95vZF5Tf7JfN7IPP+B1fWH6jjzOz/1U8oZ852f/Qfl8hxJVE85TmKc1TYgMZL1ebDwT+9Uk7zexFRKfbTyG6s38n8G3T/8nPyP8G/JK791vbPwr4G8BzgCXwg8CPl9f/Gviich2J6OD+k8BbAx8AfIqZ/aFyns8iBtW3A/4Q8HGnXMsA/N/lM35vOddf3DrmQ4mJ5V3LNf4h7oKZXQe+GPhgd38MeG/gJ9z9lYQ37weLN/FZ5S1fCiyAtyI6D//ZY077SuDdTvnYPwp8PfAsolvyl0z2/SLw+4luwJ8DfK1t5nG/J/BzxO/w+cBX3ePg/PuA30H8fn9rslh4KL+vEOLKonlK85TmKbGBjJerwY8X70F91P8Jnw2cltv7J4DvcPfvKZ1rvwA4IAa8e+FZwM1jtn+ru/+Yuy+AbwUW7v417j4A3wBUj9bvBp7r7n/b3Vfu/kvAVwIfXfZ/FPB57v4md/9VYnA+lvJ5P+Tuvbv/CvDPgPfdOuzvu/sT7v6/gO8D3v2M3zMD72JmB+7+Wnd/xXEHWeRpfwTwt9z9trv/DPDVxxx6k/jtTuL73f07y+/1L5lMIO7+Te7+GnfP7v4NwP8Efs/kva92968s7/1qYnJ6yzN+T4DPcfcjd/9JYrJ+t/K5D/P3FUJcXjRPFTRPrdE8JY6lPe8LEI+E3+nuv3DM9jcSg8FJPA94dX3h7tnMfpXwKt0Lj3N8bvJvTp4fHfP6Rnn+tsDzaii70AD/dXKdvzrZ92pOoHjpvojIl75G/D/wY1uH/cbk+eHkOk7E3W+b2Z8APo3wDv0A8Knu/qpjDn9u+dy7XfNjwBOnfOz2de6bWevuvZn9aeCvAC8s+28QXqY73uvuh8WZddfvecpn34CH9/sKIS49mqcKmqfufK/mKTFFkZerzX8kPCsn8RpiQAaghGufD/z6PX7OTwG/1czu11j+VeCX3f1Zk8dj7v5Hyv7XluuqvOCUc30Z8Crgt7v7M4DPAB5ILqu7/wd3/4PERPsqwusG4FuHvh7oz3DN70h4i+4JM3vb8tmfBDy7pAD8DA/oe96Fh/b7CiGuJJqnNE89aDRPXXBkvFxtPgt4bzP7h2b2WwDM7O3N7GvN7FnANwIfYmYfYGYz4FOJnN//di8fUor6foHNcPC98CPATTP7fyyKHhszexczqwWP3wj8dTN7MzN7G+AvnXKux4CngFtm9g7AXzjrRUyKAF94zL63NLM/VnKKl8AtIjwP4al7m5qDXULg3wJ8tpldM7N3Yiv/2czeGnhz4IfOen0TrhMT0evLuf4M8C5nfXMpsnz5fXwuPI3fVwghjkHzlOapO9A8dbWR8XI1+Enb1M//xwDu/otEsdoLgVeY2ZPANwM/Ctx0958D/hTw/wJvAD4M+DB3X93HNfwz4CX3c/FlEP1QIuf0l8u1/HOiyA+i0O/VZd93c7rU5acBH0Pk6X4lkbN8Vp5fPuc4j14iwt+vAd5E5M/WAfF7gVcAv2FmbyjbPokIQ/8G8FLgX2yd72OAr/bQ0r8n3P1ngS8kCkt/kyhE/YF7OMXz7/H4KU/n9xVCXF00T41onro7mqeuMOa+HSkU4sFjoQP/P4AP8HNoAPYgMLO/Abze3f/ZQ/6cPSIM/wfc/XUP87NO+PyfIO7TGx/1ZwshxHmheeqePkfzlDg3ZLwIIYQQQgghLgRKGxNCCCGEEEJcCGS8CCGEEEIIIS4EMl6EEEIIIYQQFwIZL+KumNn7mtmrzOymmT3vvK9nFzCzjzWz7z7v69gFzOxLzOxNZvYyM9OYIoR45GieuhPNUyOapy4XuoHiLPxl4LtKw63XAJjZ+0011ouu/NtP31R02L/20V7qo8HdX+buH/QwP8PMXmpmH3/GYz/azH7OzJ40s9eZ2Veb2TMm+7/WzF5rZk+Z2c+b2Z+b7HsvM/ueMrC/3sy+yczearL/083sZ8qi4JfN7NOnn+3unwT8DuB/B9716X5vIYS4DzRPbaF5akTz1OVCxos4C29O6L+L3eUHgPdx92cCvw1ogc+d7P97wAtLN+E/Cnyumf2usu/NgK8g+ii8LaF9P9XzN+BPl+P+MPBJZvbR0w9399cDrwOe/WC/lhBCnAnNU7uP5inxQJDxIs5Cy9iF974xs/c2s/9evC7/3czee7Lv5Wb2uWb230qDsm8zs2eXEO9T5fgXnuVcx3zu/2Nmv148Mj9nZh9Qtv8eM/tBM3uieHu+xEp34bLfzewvm9kvmdkbLDo8p7Lv483s+yfHvsPEK/RzZvZRk30vNbMvNbPvKNfww2b2dmWfmdk/Kl6op8zsp83szF2GK+7+q+7+hsmmAXj7yf5XTBqJeXm8Xdn3Xe7+Te7+lLsfAl8CvM/kvZ/v7j/u7n1pCPdvp/snZOJvRQghHjWapzRPaZ66Kri7Hnqc+ADeBngj8IF3Oc6Bt9/a9tnA15bnbw48TnQvboE/WV4/u+x/OfALxED1TOBngZ8HPrAc/zXAvzjLubau4XcAvwo8r7x+IfB25fnvAt6rnOOFwCuBT9n6Tt9XPu8F5Xr+XNn38cD3l+fXy2f8mXKu9yC6K79T2f/S8hv+nrL/ZcDXl31/CPgx4FmE5+gdgbc65nu8AHgCeMEp9+D3AU+W674NfNDW/n8KHJb9Pw7cOOE8nwL80An7jGji9onH7PvPwOcDzXn/3eqhhx5X56F5SvPU1j7NU5f8ce4XoMfuPoAvKAPIN5/hWAeeKgNXfSwmk8JLgB/Zes8PAh9fnr8c+MzJvi8k8pfr6w8DfuIs59ra/vZEmPgDgdldvsOnAN+69Z3+8OT1XwT+U3k+nRT+BPBft871z4DPKs9fCvzzyb4/AryqPH9/YrJ5LyA9oPv21sSE/KJj9jVl8vgbx/0eRC7wm4Dff8K5P4foqrx3zL7fS4Tyl8BbnPffrx566HH5H5qnNE8ds1/z1CV/KG1MnIi7fxrwIuCDzOzFZ3jL73T3Z9UH8Pcn+54HvHrr+FcTA1jlNyfPj455feMezlW/wy8Qg/1nA68zs6+3okRjZi8ys283s98ws6eAvws8Z+sUv7r1Gcep2Lwt8J4lrP+EmT0BfCzwWybH/Mbk+WH9Lu7+vUT4+0vL9X2FTQoY7wd3/3Xg3wNff8y+wd2/n/BU/oXpPotC1u8CPtnd/+v2e83sk4ic4g/xMbQ/5a8T3rrr7v66p/MdhBDiLGieAjRPTfdrnroCyHgRp+Lu/xP4GeCdnuapXkMMnlNeAPz6wz6Xu3+du/++8h4H/kHZ9WXAq4Df7lEg+BlEuHnK87c+4zXHfMSvAv95OiG6+w13/wvHHHvc9X2xu/8u4jd+EfDpd3nLWWgpucJn2W9mbwv8R+DvuPu/3D7YzP4s8NeAD3D3XzvhnO8IfJu79/d91UIIcY9ontI8VfZrnroiyHgRZ2EJzO961Ol8J/AiM/sYM2vN7E8Qg+C3P8xzmdnvMLP3N7M9Ij3giLGo8zEiheCWmb0DWx6ewqeb2ZuZ2fOBTwa+4Zhjvr1cz0vMbFYev9vM3vFuX6Qc955mNiPyfxfcR9GphZ7/C8rztwU+D/hP5fVbWEhU3jCzxsz+EJF/Xfe/NfC9wJe4+5cfd27C2/cH3f2XTrmMGfG3IoQQjxrNU5qnNE9dEWS8iLOQeZp/K+7+RuBDgU8ligL/KvChvqk88jDOtUekBbyBCIm/BRE2Bvg04GOI/Nev5PgB/98ShYo/AXwH8FXHXM9N4IOAjyY8Xr9BeM32zvB1nlE++3Ei3P9G4B9uH2RmL7BQt3nBCed5J+C/mdltQo7y54A/Xy+RmPB+rXzOFxAFn/+u7P9zhGzlZ5fPuGVmtybn/lxCWvK/T/bfMXkQecpPW+1HCCHuA81Tmqc0T10RzKOASYgTMbOvA24Ryh1X5n96M3MiVP8L530tu07x+P0C8B7u/rPnfT1CiKuF5inNU3dD89TlQZEXcRa+CHh34PW1iFCIipl9MfBDwFdoQhBCnBOap8SJaJ66XCjyIsQJyKMlhBBil9E8Ja4iMl6EEEIIIYQQFwKljQkhhBBCCCEuBDJehBBCCCGEEBeC9lF+2HOe8xx/4Qtf+Cg/UgghxBY/9mM/9gZ3f+55X8cuonlKCCHOn9PmqUdqvLzwhS/kR3/0Rx/lRwohhNjCzF593tewq2ieEkKI8+e0eUppY0IIIYQQQogLgYwXIYQQQgghxIVAxosQQgghhBDiQiDjRQghhBBCCHEhkPEihBBCCCGEuBDIeBFCCCGEEEJcCGS8CCGEEEIIIS4EMl6EEEIIIYQQFwIZL0IIIYQQQogLgYwXIYQQQgghxIWgPe8LeGR4hr6LfzFoZ5Ca874qIcRVROOREEIIcV9cjciLZ1gtIA/g5XW3hKE/7ysTQlw1NB4JIYQQ983VMF7qosASmMW/GAwduJ/rpQkhrhgaj4QQQoj75moYL3kAbHObmRYKQohHj8YjIYQQ4r65GsaLJSI/Y4IWCkKI80DjkRBCCHHfXA3jpSm6BO7jA4dmFh5PIYR4VGg8EkIIIe6bq2G8pAbaecnUmCwUmqsjtiaE2BE0HgkhhBD3zdWZLZt2U4pUHk4hxHmh8UgIIYS4L66O8QJaIAghdgeNR0IIIcQ9czXSxoQQQgghhBAXnqsVeRFCCCGEEOKy4h7Nj3MfZZWpGVUua5+xph17jV1AZLwIIYQQQghxGRj6aHpcyUNR58/FiCnbmjbEYy4gShsTQgghhBDiouNeDBcrkZUU23K/uQ0LI8fzOV/w/SHjRQghhBBCiItONUbulg5W92cZL0IIIYQQQoiLwAWteZHxIoQQQgghxEVnXYSfI10M4rVB+c9Y0G821sBcMC7mVQshhBBCCCFGzGC2RyzvJ0ZKuw/JSlqZl217Fzbycle1MTPbB/4LsFeO/9fu/llm9luBrweeDfwY8BJ3Xz3MixVCCCGEEEKcgKViwHiojJnFw30rGnMxDRc4W+RlCby/u78b8O7AHzaz9wL+AfCP3P3tgceB/99Du0ohhBBCCCHE3akpYWnSy8UsXqeL29+lclfjxYNb5eWsPBx4f+Bfl+1fDXz4w7hAIYQQQgghhIAz1ryYWWNmPwG8Dvge4BeBJ9y9tOrk14C3fihXKIQQQgghhBCc0Xhx98Hd3x14G+D3AO9w1g8ws08wsx81sx99/etff39XKYQQQjwkNE8JIcTF4Z7Uxtz9CeD7gN8LPMvMasH/2wC/fsJ7vsLdX+zuL37uc5/7dK5VCCGEeOBonhJCiIvDXY0XM3uumT2rPD8A/iDwSsKI+chy2McB//YhXaMQQgghhBBC3F0qGXgr4KvNrCGMnW909283s58Fvt7MPhf4H8BXPcTrFEIIIYQQQlxx7mq8uPtPAe9xzPZfIupfhBBCCCGEEOKhc081L0IIIYQQQghxXsh4EUIIIYQQQlwIZLwIIYQQQgghLgRnKdi//LjHwwAMzM77ioQQlxV3wMGJsUbjjRBCCHFmZLwMPfSrWEjgkBqYzcEUlBJCPGA8Q7csBgxhuLTzGHeEEEIIcVeu9grdM3SreJ6KBzRvLS6EEOJB4B5jS4RcwkHiaLwRQggh7oGrbbwMPeBj2oZZpI551mJCCPFgWY8raXPMwctYJIQQQoi7cbWNl3WdywSzMYVMCCEeOsWAEUIIIcRdudrGS2pizTCNslSDRjUvQogHSY22bI83oJoXIYQQ4oxc7YL91MQjD2x4Ppu5FICEEA8WS9DMYOg2DZjUyFkihBBCnJGrbbyYwWwv8s3zEK+bVl5QIcTDoWkhpbHGpTpQ5CwRQgghzsTVM17cw1AZhnjdtPFoZ+d7XUKIy48ZUbCfYhyqTpNpEb8QQgghTuRqGS/u0dNl6MdC/a6PVI7Z/FwvTQhxBahyyXkY6/RzH6mqcqAIIYQQd+VqJVp7joWClR4LVrydQxf9XYQQ4mEyjbbUMQiDYSV5diGEEA8H91Guf/r8gnK1Ii85h6czTdIzzMYbObXl1tsYjRwhhHg61IhLHXeqUEgu442p3k4IIcQDwj0c9EM/WdcW51kyaPeiDvOCcbWMl9qE8m7koXS9zmHwGJHWMZtLFUgIcf+s+0jlcTLBwEqjymEAr+IhM4mHCCGEuH/6VWQcuU0iLxmaMhd1C5gfXDgH/dVaiacGsDGiUm+i2bhIcI+bWQ0XCK9ov4TlkdLLhBD3T9MWT1gfE8e69wuwOopxpoqKrBajKpkQQghxL9S5hFRqLL048UvBZf03D+d7nffB1TJezGC2H9ETz8TNS2VbWUTUm7jezyTNLEf4TQgh7gdLUZhfm+FWA2YdtrdJPYxqYYQQQtwnde5YR/wrk9fbjdovCFcrbQxikTDb37ypG+GyWsxU0jk2sAtpoQohdojUQGonaaw2ibBMJhEzRXqFEELcH+vIvm8+h+LEL88vYM3LxbviB0H1dKZjCvFrwezUEF1bpduGjhBC3COWJn6RrQklbYmGaLgRQghxP9TaSSaF+kzWs+7QNBeylvvqRV62mUZg6r/NbMwV9OIdrTc36ScTQjwNUooxpl+xtk5SSWWtAd9aj9fO5TARQghxf7SzmF+GHqyUQ1DWtWkWdZgXcI65uivxnEuzuA6wWCTUhUI7j9SOfjmqjZFie3N1fzIhxNPEcxgt/aR2LjVhzOQc41EVFGnmxWsmhBBC3Cdm4XhPjKUSF9BgmXI1V+LusDrc7O3SFUNlr0jGNe2oDLS2VC/2zRZCnCPuoSDmeRKmL/V1qSnjTQnxa7wRQgjxdPCilDv0pX7Sx+yi6qS/oFy8RLcHQd+ViEozsUJTeD23C/Knyj9CCHG/5GE0XNaer6q9XxviarwRQgjxAKiGy1BVdCklESXz6AKqjFWuaOSlFi5tbIybfHQzrNF2L3IFtYgQQjwItmta8lBUxsrYU1NXU6NxRwghxP3jeTRarD5srKek1MG0FzM1+WoaLymxISfmGbpVdLmmFM6uDiHvRRqZEEI8XaYqY0MfXY+zA8WoyUfRR6qdb/aeEkIIIe6FtaNsMo9Uw8Uz0EAaoCfmoqFnna7ctMV5v7vJWVfTeGlmkFbgpfPo0I+GS1NulhMN4vLehdTAFkLsGKlIUuYhJgtnHHfWamMlCtMMEgcRQghxf2w7v2rNC/WfIVLHYudmS5DchSNtfrCzdTFXc1VuBnvXRv1rquEyuUlpGl4TQoinidnmZFBrXtaTw2SyUTNcIYQQ94tZKFbGi7KeHV9GClkxaHy9cXydfafrYi6/a696MmsMrWpaW4qFBMDRrYjCTC3V7ErbEEI8WMwiJWwoEu3DRBq5OlGEEEKIp0vt8dKtJvNMadLuXrKPfKzDNJukmflo3Oxgt+TLbbx4VVSYFMoOPcz3wnipkZWmha6mcdik23WzsyEzIcQFpTapXC02IyzrYkpXfxchhBBPn9TAbC9SladKlrWYn8ma99ggy+4ZLnDZjZe+iwhKmhTKZo/tKcHidtzQ9c7SddRSGDTzg2IAdYR12kDb7nQRkxDiAtC04fWqxkplGGB+TVFfIYQQD4bapDL3QJXqn+xzGEsoijGTJplKO8jlNl7ycKfRaITxMqxKmKwYIusGPrX3S4pt/aqcw4o6UA/zfRkwQoj7wx0Wh3caLpV+Aas26vKEEEKIp0vTjmvYWms52y9OtGGsezEbmya3e+d80SdzuY2Xk6jdRt0nuX81H7AJA2bow3BpJnJxRonc9DCbn3R2IYQ4HvcYV4bu5EJId1geRahfaatCCCHul1xaf3Qr1sX4TQPtQdTErOWTYZ03ZmnnVXZ3++qeLk276d2sjeF8IgtXX1dyLpZnibxsY5QiJyGEuEf6VdS6nIYT41K32FmlFyGEEDuOO6yOiuHCaJTkIRxknieRlhJtadqdN1zg0hsvsyJ/XCzLnEtTuImawjb1uKEPI6VfbsmW7qbyghBix8k5Ii42qbGrDpX1I693katSohBCCHGPeC7r14l6bl3j9iu4/VSo7fYXb5653GljZpGz515y/ZbgfbmJW4bLtEFPvxz35yE8pe0sjCEHZlICEkLcIzVim5pRY/+OPlLFmJkdRMFkHgCNN0IIIe6RdebRxFEWO+IxdMVJv4oay/n+OV7svXG5jReYyMJ1dcPk32KgDFupY55GSbnUxL6+A2tDZll56EKIe8U9xppjoipenCdmNjavjA2P/jqFEEJcfFJT0sT6E8ogJllIy8Oos7wgc87lThur1DCZFaOEicpYt4obW72gXlPGyo3OA2tpuXYW+YBCCHEveJFoN0J6fViVzY5X8ZDy3Ndpq2i8EUIIcX/UpsiUde/6AXeWP/jEyb/7XI2ZsYbOvB9zy2GURz6OYZjIIQ+jhLIQQtwrfTdKs+eYILx2OJ4W5RfNfcexdqJ0KIQQQtyNut6tPQvbGRzcgKObo1iVnRTZvzhr3KthvFgJm7lvGiz5NNWwkh9YU8RqCpkQQtwLQx91dJ7DKZJPUDqEcWJpZtBKjl0IIcQZ6bsxeuJeerXMw4CZ78e+vjRdr3UwUwGZC7TGvRrGy9BPDJiyWDiLBGktqiXB/mMXQj5OCLFDeC4ylTZKIFNrXCYS7hWzcdIRQgghzkIuhffruknGuspmVuT3l5OssakBk2Bvf2zKXvsb7nC20dWYIX1gfZNOO2xS0GQbhkpR/fF2p2+mEGLHGHrAR+EPz3iVbl8rwUzGpWm4f8MrJoQQQpzA0Je5YyslrFvB8vZWwb5HBsC0YL9bjNH+oYdmvtPN2K+G8YId39HaDNzwPJT94831NMPSpM5leTtu6GwvQnBCCHFWjFEiGYjCli3DpVKl3etkcoFC+UIIIc4Bz9xRs2I2yiGvp5riINs41sYyiuo4G1bQtjtbd7mbV/WgqVGUmpKxLmgy3GyiLjZpQJk7fKjFtJOb3C3V9VoIcTaq4bFuUFmHXNuKvkzxUb69WxzTC0YIIYSYkJo755JclHbdgbLGPbZGf9I2BEYn23HyyjvC5TdepjevFshWQ6V6OL10IK29X9b5gqtykrIvFbm5fPG6kQohzgFLkNqJHDubcuz1sT1JdMuJB0zjjRBCiFNoZqWnS1nvDrlEU06I8ENxnhH7az/DHTZYplzetDH3KD7qVzH5lxvqU8vUHfqSk15v4PY5IBYe69w/O/HvQAghNhi6tTRyqIzVqMow1rTUOhfPm011hwFSFQ0RQgghTqD2dBn64vDKxdF+XGpy/U/NQpq0BVkdhTKZpZ1OWb68xsvQTxruWMnSqIWyZXP1hg7Tfi8lwmK2mevXd+AGTbPTN1QIsSPkoTSmTNAY9B0+lEhvZtPDZZNxB8ZIMU2MOUIIIcRp1GbqniNzyBkdZDBxyNcUsjRuX9djlhTng2futGDM5TVeampXuVle0zVqSM0Iz2ZN38iTZnH1D2C2j7tjlsY/hvkzJJkshLg70/xhZzRI8lD6vtRwfpkgUhMRXjNoUxg51ko2WQghxNmoWUfWQCq9DT0BGe8n7UIAKEq8bYtNi2EugNLl5Z8VLW5a1Krk8cZVY6bvQm1s2jAuNSGB3XTQGt4kzJp4U3v5fzIhxINgUhxZIyvuIV2ZJw6Tqstf619me2G0pLaE73d7EhFCCLErTDKMqvDLVATm2OMdt+1a/t2uj7i8K/HUjNJvwPqGAuueL3nAa8fRqvwDQIe3jjXF65l7PDUlAuNjEW09f2riOC0yhBCVph37vJiFMTJ0k2hvjEeeo9bFqnFjqWjwl+LLHW8WJoQQYkdwJs6xcc3rpwm/DP1mOYSlnZVIrlxe46V2FK1GRt6WkOvHYn7PY4pHXWh0RziGtXsRbelWsLcX++v76oKiLwW47Z4WGUKIwFIxYDrIbDpK+h73Saoqxc/VzjEbwPsQE0mpCIYoAiOEEOJu1HYgE4f8Wdp71BpMsxL93+355vIaL2bRIXRxBENXRJAtjIw+GsB5340GzjT/3CcGTL+PpQNom/CcdivWhU7TmzsM0OTIMxRCCLOxyeTiFqxWYbT0fRgk0zTWeny/ws0i/7hfwGxGhPx7NccVQghxOmsZ/rsYLNMab2Bscmljz5gdNmB2Oy70dOkXo0yplR4uwwq6ozFtY9r7pdbBTLtfrxbxx9DMwhqtx01v6gVo6COEOAesdC7OfYxHXpRcquGSh5JK1o0KiVWRDA+Dh6SxRQghxN1Zq4vZ1uay3M+5ZA+VR7+6s7zl6ClYHu70vHN5Iy8Ay0X8mxq8KoutVqPqT23I03URhRm6uImzGTbbA5uVnHNgPg2jHWPRGjttpQohzoluWcaaPsRBoCjCdJsNKKs8ezMb01xzBz7X2CKEEOLurLN/JutUK9GUrjjS1plGhaErUv3l2NpWpFvA/GAn55/La7xsh8wM1uo/OeNDaeDTLfHFYbE+S8RldYRbAzeehe1dH1PE1mG0tHX+YuWq/4sQYor7KNueM+RVeT7AajnpgMxouHTd2NvFh7HRWLeK1LEdnEiEEELsADXqsrUGdrOxRQhstfwoWQBNG+9LpWDfJ9t3jN27ogdF7dWyrEpik3Sw7NFnYbnAu0XxgA6b7/UBbj+JH1wP6WSIc7TzqH3pVxO1saRifSHEnUyNE/dQbe87uH1zTA0DopFu8Yb1bSgdQulyXJQMh1VMPu38UX8LIYQQu0zt77I4HNemUwOm7q/O9ppVZGlSMkHpLzbbbG65g1xe4wUi3LU8iptRJUjdI4VscYivFqUGpvZd6EeJ0lkpjj28Cc96i7HmpUZhZkV5DIiFhwwXIcQW6xA9EVFZrfBbT8R4M/ThNCmOFmuaEq6fOFLm1yYeshTh/UbRFyGEEBP6VWl+PHHUr5u0F4d9nXdqLUtq4tE2m9LIpQcizdb2HeLyGi/1ZiWDIZUImENq8f5WWKfLo1JI28PRYVlolPebwbXHSv55UW/Y0MEuqgxCCHESfT9pQtnjh09GuljfjWIgQ4aUIsp77TEsD6FI1u5hlMkmpbXDTAghhFiz7j3oRHjfgIyvoyllHil1ll7VyKzDmhmkfWgT7o5ZicoMXTjpk4yXR4c7rA6j2CiXVAwnjJB2DrefCunSYYjH4a0xbax6SVOKqMtsHjf91uN4u4+1l/MnE0I8DDJkj8zVvoOjWxHpXS1KeH+i5rJahJGzfx3vu2LvJKydhYFjBknF+0IIISa4T0SjwvjwablELk3ZV4uxhrK+NedIU849WIqG7JRDdriO+3KuxPvVuCgolqcXhbG8OoLbT4RHdBhiIVFrXqqhU1PD2haeehIfBqzv4fbj8Nib7/QNFULsEFVWPSX89q0izT7A4eFEFrlMJG0Lj78ef9Zzsb4YMiw3iyV3sHBSCCHEOVIdWuv+g1vNKa04z/JEpr8KUA0D3s6w2Wzd3D0MmFQi/pOGl5Z2JhJzOWfCPEzk3gbAYLXAc4Y3/eZorKyWcHg7jqmGjJcoTUqjPLKXXjDdCha34eDGzuYBCiF2iUmUpFvExHF4uwiGFLWxOon0PczncOsJeLO3CBGQ6jlLM8mxCyGEuBOzMDy8A6pS5SSqv05Tnkol1/cmOLqNp4TtN2Uu6iLrCAup/5xDUMYJB1p7/hkAl9N4gTHHDyJ8NnT48hBWNV2sh8VR/NutNouYoDSWy1Gw1HfxmB+MeYOzvXP6YkKIC0PTQG5KvxZiIug6WCxKo7AqRZlGh8hTbyyOlKJG1sxG2UoZL0IIIbZJLXhpPDmlW+GHN8t8041RlFpDacV51i3DYda2o2z/0MX8lFI5uNTWWAo133Pkchov7RwOj+60PJdHo8Tx0WExWIawSI+OwvOZc4m6zMPyXC3hyTfC/vWSLrbb8nFCiB2inRePVwfJi0hIcYY89WQcs+4fBTwGrJZ4t8Q8j5OGe3i8FPEVQggxxR26o7FfYW14vLwd809X5qCci5N+VN8NaeSSqTR0IXJls1gPN82mw6w+zz0g4+XBY2kzikIUJYXVaZGu0XXxuPlkGDJdFzLKObyb1nWwX5rzvOl1+LPfEhs6vJ1jO5LzJ4TYcZrSoyUP0JUo72IJTz1Rco99nGxSgptPwZs/B7pFKL80JV0stervIoQQ4k7yMD5qI/XcQe7xoY805ZJx5GuJfmLOaVrMElHYXyWUS5RlhxUu72q8mNnzga8B3pL4Kl/h7v/EzN4d+HJgH+iBv+juP/IQr/XsWPlPKkaMlxQwJzyei6OIqCyOIv98tcK7iVXaNHgpVLL5XoTd+gGbpnEIIcTdqBKWVX6y60qa6hBjTlU8bBpo2yiafOJx6Iths38jer0oXUwIIcRx1KaURSI51r5FVaysf325KH1gfJKCbGArPC2x2T4+t9FWqRL/UwumOtt2QDjmLFfQA5/q7j9uZo8BP2Zm3wN8PvA57v5dZvZHyuv3e3iXeo80zXjzch5vwnJZFMZWcOsp/PBwjMKslRmK0hjg3Qqr9S/WxB+FFhJCiLPgXiQoKd2Ngdu38GUp2K8S7RBOk4MD7Og2LG8VZ8qg8UYIIcTJ1JKGZNBXdTBKixDH+1WkleXigK8qmFbSkjP4rcexvX2cfSw1YaDkIniV8qiunJqdcODf1Xhx99cCry3Pb5rZK4G3Jr7KM8phzwRe87Au8p6xCIXRd/E6l7SMVTFauhUsF3D79lg8Ww2XGjar/3ZFpaEolrF/45F/HSHERcWBNE4UXYevljHmrCaS7kWyEoAbN+DJN8V4szrE96/HZCKEEEJsk5oxkkIxXlI4vdyAo9ux7q2O+FyPSSE+Nd+DfoUf3cYOHosa73Y2RmnWapdp8lnnyz3FfszshcB7AD8MfArwH8zsC4AEvPcJ7/kE4BMAXvCCFzyNS71HZnNYHQFNRMaaBl8ejUX6tw/xYYDFgtx10Jec9HqD2o7kHguMo8NQcOhXO6NxLYS4CJT01SHBs54Lr/ofMaYsl6PDpIbi3cO4Wa6w2zfxw1tYX9JZZbw8VM5tnhJCiKeLWdRELo8IZ1lpTIlFecTiKGq++5plNGy+f28fbrxZNHB/1lvGtqmQTNPu3Nr3zFdjZjeAbwY+xd2fAv4C8H+7+/OB/xv4quPe5+5f4e4vdvcXP/e5z30Q13w2hiFCW03xeFapUYj8v8VRGC5HC/KtI4bbR/S3F/Q343k+WpFvH4biQhfyyN6VqI0QQpyF4tmypoVnPqcU7C/wYSDfPqJ//Cn6J27SP3WTfHRUIjLLcLIsD2Oy2bFJ4zJybvOUEEI8XfrSg7DIIHsewHvcUqjldsvINlocFvWxYsSsijrZcgFPvKkYPxmOnirSyn2EbnYg0rLNmSIvZjYjDJeXufu3lM0fB3xyef5NwD9/8Jf3NFj/2DYWzUIYNctI2ciHR+TDBflwhfej/LFbxroefB978knsrfuwWrtlieYIIcQZ2b+OL2+X8WMFqxXDrVtw1G8clhc9fiPTLJdFtj0UYZQyJoQQ4lhybbDOmIY8lCL9fhVNj48Oi9quR5bRajm+f7WE/YN4vjjE+xXWd/hqhe3tjYqZO8ZZ1MaMiKq80t2/aLLrNcD7Ai8H3h/4nw/jAu+bZgb5cJSJMyIHcLnADw/x5ZJ88zbD7RU+RMqGD3HjLRlkY8hH2LwlWTNKyy1u48OANVpQCCHOQFeMkTe9DoaBvFjghx0+5Bhz3CElrE2kW0u4fhhh/tRGIaXnImUphBBCTBhKuQN50oOw9HF56o1jn7FhCHXdKmJVj+0smiVfvx5F/csl7F2DvAKf7YSy2HGc5areB3gJ8NNm9hNl22cAfx74J2bWAgtKvvDOMEy8mkOH+xA3a3EUns/DQ3zRk1c9frjCa8dRd2gMmzWk/RneZTwZlnOROO2j8c/BYztpjQohdgjPcHQrvGOv/1/4zZsR8e17hpuLkEQu2F6DX98nLZc0t29GIaXGGCGEECdSjJDqCCNUKvNqAY+/LtQuc4Zbt2ItPOmBGF1FbLMwv/QYS5bKOno356CzqI19Pydf/e96sJfzgPAc+XqzeXg9Hbzv4ub2HT4M+M0juluHsMz0y45c08YM2jbhfY4beKML2eWil+3ZsWGIXPSZmsYJIU6hWwGOVynLLsLxwxOH5C6XCYdwmAyO+xGzN38GfniELQ5hvqeoixBCiONJRVl36IGJWu7tpyIlLOdQG8v9WhQmlHe7sS3IfC9W+TW9eeiiFUwuEZwdZDfjQU+Xoijm7hEyM4ucv+Vh7F+t6A+P8OVAd7sjZyfnseal7zJNm5hBGDHDgA19qDc0Fs0qq3EkhBAnMfRANLxl7xosl/S3l+RFx7DKY5QfSI2RfKBbLtlbLeHmm2BP0uxCCCFOIBXneonAeI2i9KtQFeuHUZb/5lPYaoX3Yci4GTQNtljEXDWbR+H/0Iez3mbYjkb/L5/x4l6Kl6pXszSqvPlkWJwGtlzComdY9XTdQL9ZNxvCZOToR9l1zI9ux40fyg3ve6zNx368EEKsMUaP11NP4DmTb69YHQ30/bBu7ZJSRHxbnNkqJNwB/Ogp7OCGFMeEEEIcj1Mk+cuEYhbb+h5u34ztqxV+dDQqjA2lAXLT4PM5dngIewclSuPAsLPF+nAZjZehY90YbiiKCu7QLcIKXS4j33zR0S3CcHF3hiGPDUTNcE9Aps2GHRZLtErH9UsweUSFEHehNAOzfkVe3mZYLukOlyyXYbzkEnpJZvS9s+dOe3TE3nIZkeLlIb46wvavn/MXEUIIsbOkdlz/mpX17lFpTpnxp56EarxMPfapNE++cQNbLmKfD+CJjdSAHeNyGS816lJz/0rRvufo08JqhS+XeNeRVwNd5/R9T9dtncec1p2UGnzVx83si8zc8gge290bKoTYEdzX8pR5WMHhbfJyxfJmx3LZsVzl9RzSNDCfJVJqmR/14RW7+VSEgfsVIONFCCHEFiV6Qm9slKd7jnKJ2tew9BHLXYcvy3oWgzZhw0BqW9jfj4L9fsDycNIn7gSXy3gptS7AZvfqIZd8vycj5/xoRdf1dF3PcplLc+viAU1GSom+d9o20x8dRc6gedS+5D4s3NIMaFdDakKIc8Q9IrQ+AMWIuX2TvOxZLQduH26mnQ4DHA0Zs45rq6LRnxLJygQjhBBCHEe7F1H61IzpYKtlOPNXq9FwWa3Ih4uo5c6xfrVkpGGAtsUfewZWe8KsjuDaM877m53IJTNeSjfqdfF9yevrSyhtEZ1F86KnXzmLRabrc5G8jveYGW2Tmc0a+t7Jqz7+EPoiN0cqutdaUAghTiAP4UxJM2AR2vnDwLDqWa16hiGz7AZq0LcFDuYNR0cJ73p8yNjeAWAhmSyEEEIch3s41ZPDkKJyYnEYkfvVEo6O8GFguH0UrUGyw+CQDE9G7ge8SbR9F7XhQxfvG7bTknaHy2W8eJF1SxSDhYiQrI7WhbO+6shHC44Oe7o+MwzOMPhY74Lj2YAhVBYy0dxycRhWaBt5hd62O6vCIIQ4Z3LNB2vDMTI4rFbkm4ccLTJPrXo6h1pp12Aslz2PtYlh2eFdH+6RZhbhe0V5hRBCHMtkfnAb55+U8CLP3x8t8Nsr+uUKP5wYJSmR9mM9mxcLmn4VTv/cRV/EHeVyGS+pKYpg0aQHs4iWrJZxQ93xvsMP+5Jv7gzZGSZFSU5pPrqC2cxxh3x0RENpYonFUX0Xlm47O6cvK4TYXUr+sQHWQBMTS/LErUXPYXb6ybhjODMz2sEZVmViefyNOGCrRThNWjWtFEIIsUVtKDl0MKziX0uw6mCxwPsev3VEd/sIbvfrTKN4aw7hmDbRPPFkKb8oac3dAh96rNk9U2H3rujp0M6LGlhVXGjC85kzLA7x1Yp8tGR5tIza/iGTYcN4SeUB0PdD2CvLVZxr3awnxaKkW5TPlQEjhJjQFOUXJ8aHYQUYy8OOQ3dW7vQ515ZitCkxuJOGTNc5uc8kwFcrvJljfQ/NLMYhIYQQAiIqvzoKx1ZqgFLjPXTR57DryIsVedGTb64YemcYYm1rQNMmWnf8dsKPlqEyNqzGGu/VAg52T133chkvKUUjuD4kkq1tyUPJ31scwuEhw3JB7npyzvQOA75xigw0xZjp+3p7reQTlqjLfB9LbSnKXe20FrYQ4hxITURK+iXWzGBw3DO3njxiOWSOhsyRr/shMx8G9hqjTYlmXlJS53sRRcbHaHKS8SKEEKKQS7ZROy9pQyWSsjgqdSsDw63b9IcLlouefoA8ZHJ2UjJs5cz3MnvzlmG5op21pJKx5NefgfWrnZx7LpfxAmHAzPah7/ChxxeHEYm5fTNyzm8v8SGTB2fAyR71LjX4Unv7GPF3kN2hSaw7mLbzsYDWLG6q5xAJMIvojAwZIUQ7i8hv00HuyH3P4e0VT/aZQ+q4EwPPYMZqgIZMs5die7eCtgFslLUUQgghKkNfDBiilcd6WzFAug4/WrF6YsFi0bPqnJxHp33TJHI22vmSGQbZ8aHDvBospUxiLuPl4eLFS2mGD7XnC6Gg4I7fPqLvoOuj1mVwp/g2ATCP4llwrjexwLC9ORzdgjd7i4iyVCs0F7nk5WEYTU4YLrN9dcQWQhSHhoUzZbmk6zNHOMs+c8gYeZnhXDNjaYncWxEdGbAhhy8kVZVDIYQQgjH7J3tR2i2pyqsFeMgh59WK/qhjtRxYrjKrZWaYGC9tk8k5sb9s6HNmb3FYehv24aj3PAoA7BCXbzYcurhp7Rwe/80wQ/pVZF6sVrByjhb9ulC/d7YSx0IBKGERVmuK9PLNp2Jnv4LbT+E33gyr0ZhU0saMuNH9AmYHisAIcdUZeljchH6FtS29J1Z95snB6dwZiGFjZkbXQDNkjm4vyMMQO9oiyz7b13gihBBiJJcZpKiKAbEGXRzFWjg89QyLjq4bODoayNlLb8OYUqra7tFRz8GyL71hlnh7hFlToi4H5/ktj+XyGS95CGvk1uMlQpKiSU8pV/Ehs1o6S5yuNKcsbeTWtAYrwvDEnXzrFunosDScA1aHsGjh2jPvlDC1tM47VHGtEFeU6hFb3Aov2NERzWzO7cWSJwbn0Me0MTNjcGfVO/tt0P3n0wAAbjFJREFU4vatYa3P71U+pNFYIoQQYkIeiPi9xXxT6x6ObkZjyuUSw/CuZ7HsyTmi/nXNa4QRYB30faZbdbF+XR7BwbX4t7ke89Q5fs3juFy5TZ4jPaNbxIKBkio+RF2K4+QcIbPsUc/SUVLHJo/VJCozrHo4WuBDWVBg65vrlkoRvxBCTBj6mEw8hxdkcQirFUe9c+ROn2OcWTkss7Msr5/qMzkP5D7GMp56A9Fsd/fC9kIIIc6RPEAecB/Cue5OqI318MSb4PZthlXH0IeK5WGf6eIIypGsgFWfWXWZJhORl1wUyxa3gIlDfoe4PJEX91KslMdmLWbYcoGbwZDJA/SrgWEII6UnwmfTfgsArRmr7HSWGXonr5Y0nkOqtCqO5T7+ddhsEORFoOxy2YVCiHtgKHLtxSlGHvDVkuywKsbK1BxpAU/GwgG3cJb0PRzejDGmW4VYiBBCCOE5nFrWFCl+1nUuNHM4vMWwXOJ9CFQtljnqvIe8TldOQNs2rIj0MSDmnaEYQl20CbF1Tfe5fNNjuUTGS7E2rQmJUSveynpTh4F+eUReRb1L9HdhHW2Z0hE/TAbato0DnfCeWlH+cS8FTfOi9FCMGjM1kxPiyuNlTCiTQEoMiyWDZbrsdFtHd0DOTpNg0UeUmNmsTEZDSCcLIYQQsBamIrVhZLjDkKE7inXpMMCqJy9X9F3mKDuLIbPcOk3TD1yzqK5Is1SMluU6Y6k2FNm1OegSGS8TrWMII2Z5hOfiwexW2FHHahU3omc0XLZrXpI7yYylZ2gd74cSSivRlhpxGVaRi74u2E/xWlEXIa42aQb97XEs6Jd413OrG8P22zjgJSfZMJi1RENcL4X7QgghBKyrPoZ+jMAAdNH3xYeBPPQMRx19F4X6S6Ipe5XoNzMGIGEcDEQ/suxYrRNvZzupNAaXyXixyY3sFmGMVClj7/GhZ+iW5BoaKzewGjF9WU2kolJqiWLJlvMvl3DtMdZ/ME6kkUHc3HYvbrQQQjTt2P8Jh9sRtR0cTpoKnBhuzD0iL8NQ0lQTl608UQghxNOgyucvDiMhqJlBWkbty/IIVit8NZAXK7ouc9udLmcyE+eZOw2wIMRj+mU3Cl2FN638O8DyNsyv7UwbkN24igdBStF7pV/FpG8pLMehB6LmhaOOody1CIZBNzhHg6+LZhdDqJB1RQe7W3b4UIqXmKSMeR+htZoIWNPThBCihPN96NaNa/NyddeU4QwMOcdYdrSIqK7nEAcRQgghKrP9iMyXigUfhlirPv5GWCzIi9U6ytLlqHXpc2Yoj6q225eeh+4ReQlHvMe55vtYMyulEttJZ+fH5Ym8QBgtAJawlPDZXvz4TQtNQ+4HkhltY7ByusE5zCWNY5I3Nl83/HFyX3Zk4PAW5jmeNykMpa4phfzpTtlkIcTVxCwMEC+6LjmTFyv22tONkIYI64NHCupsti74l1yyEEKINbXGOi/wnGNNulrC7ScZbt/Glz30Ti4CMV3OHA2+TihqcA6S0TaJ1RBrW4OSNZDD8TbfHz9r6Mv29QWc25r3chkvePzYycLaTG0JrTXQNLgZXR9hMCtypYuiNhY9F8r9cTDP9I1hiUjh6Fdw+0l86DHazZhV7iGpSF8IMWGdVhpyye7OwdRLcgw1WOwONmtgf79EeodT3yeEEOIK0szAb0dddt/hQ493K1iuyIvIHOr7aBNyq88sfF25jRFZRs8EvEk4juUhqvebFubzsZ680i3GbSmF8XQOqWSXKxchFVvMS+is72C2N8q+NYmhH0tllzhddhblsfSSPuZw6M4KMEsRlVss4PZNfFXSwyxNUsh8XKgIIQTEmGApxp/cQzLe2B9Xqj+SAW+Mpo4vmUnj29MNHyGEEFeIPIQYTLsX8vy5yE/1PT5k8rKnXw10AyyHzKFHZL9zpy+PI4/+L00DaX+Odz3cfLxYNh10q4jqeJ2DipffLLZNjZlHyOUyXmZ7o5Sx5XgQP7rhWJFJBkgphdHiUeOyKo+lw1Gpf1n2A5mSJuZVenkYU9FqN9OmjYcQQlSGPupeuiU0LU1quJ3vMuiakR08ARg88XqYH4RM5Y41CRNCCHGODH3UqHSreOBhxHQrnMTQ5eL3GjjMRLZRHmu8lznWv4fumBlpr43oze3bsFpG88tbT0R9d6ndHP8tzz0Xo+nRcrlW3FOZYmsAK8oJLZ4ahlVfe1eS3Tly6I9JGzNggbGg1Om7h+WZo5eME2lnawu01rwIIQTEWNEt1jr5AN4mkhmNGea+7nIMY8OwOor4qg+HyPJorOUTQgghYHSo9yvoF4Sj3qHvsGHALZEHp+/DaLmdnUP3aFs4iZSkBIbRZyOvBqzvo71I34VEfxGn8v0b2ImyyY8+8nK5jJcSEbHUQNPi1kSjuGShnmCJnCPq0hJN4SJ0Nmke6rUWyfGhGC21+LbryoLksYjqOLG9FjQJIQRMUldXxbnRYt1AU6TY3Yzt8nsDZsY6xTWa7SZY3oKD6+ofJYQQIui70t+FUNOlRudzOOJ9YNVlhiHT95lVqfMe2MzyStk5snDi90crfLnEappyLplMq8UYXZkKU609/o9+brpcxguMBkUujd1qetfBNTznMausRFsGD6t06gVtAEvGMjs5W+ypVu5qWXrEGDbfg70DLSqEEFsUZRYcaxry/g2GwyUtcGBw6Hf6qmZAStELJu3trYVGIv2skSCIEEKIUbY4NdF75fBJotali7WvObnr1/3Us0e6WFdaF07nnsYh4fQ5Y6nII0MRthrGess8wGw+th+p19G0Ml6eNqmBlHAzIEM7L3rVCWYzmiJTarURpTurIiE3DaNlM4bsHCYrCsilYVw/hGXbl5SO2X58hhBCbFCcHhTt/e6Q/uiIgyaRUua6O10em4XNEySzcKIRzhMsJhInlTRVIYQQV5512UIqjYzLIw+wWMDRgv6pBX0fUZeB0r+wOO03TgWA0Xmm2Z9HFKfrwhDyInaFjQJY7Ww0cJpJgOARc7mMF7NI4crDWgnB5vt4G1/Tm9F4MWBeQmXblmhdKNx2p52X5jyeSyFUH8pBeKmrEUKIbXzs/VQitskSewYzMzpgfszwsZeMjNENzn71rg3dI796IYQQO4qFseJ9D6vbpZC7lDKsFnjf0906pB8cz3DYDXescytOrIMzYDmaVNqqC6Mke6nxzjGfDV181mw/ggXnyOXLd0oN7F0HmtE6TSluyhCKClBEwgjDpaaM1UfRKONoKFs8/ih81a2VFcwpC4uTCpiEEFeWWifXziJSmxKpTeyZcaMxZmYbg29DGC4HZvTA6vFbQIKjwxhzWkmxCyGEoDSnnEcN9tCDRW9DL0X7nhr6oyXDkMnZyW5kd7JHVllXHn3t9gEM2RlKPzL6Dt7sORHVyXnsM2YJsFAfO+dsgMsVeSmYD/hsBgsLS7GdQb+K+90afQ+tGau41ccyAD1xc9eFMkMYL+4euYD9ElYNNM9QProQYsRSeK5SC2S4do1M1LQcmNE3EZ2fqo01ZuylCAtbHxMS/SrOobo6IYQQa2pqcplFZmU5bwlrWvLKS7m200YZDIOXMonJWRpgjuE4+agn5xxiMstlpCzXoxeH5Q2zMGqmhfvnwOWcEfsuQly5j4r87HgeSHsz2pKe17ZGd5e2CY2BDSUFbehLGsgQCma1aGkoknJCCFExg71r8XCHpiHniPzOzLhuxn4KY2UvGdeScT0ZySyMHEshOFLlD/squyyEEOLKs+6tEtEQS008b2fYMNDlvkRdoCtHddyZOjYQtTCzFAbOmideD8PA2jzxsV1IiAI8xO92Bi5H5CVnGFajQZGH+HGnBocl2uv7zGaJrsvMknG3RIzGDEthxdKX9DBLkXpmRBH/fD8iMjMV7gshJliCg8fwfgASTdOQzGiTMWTWKaxT5gaDWYzMqTQAGwZ8GDBbRa6xEEKIq01KEXuxEoHJGWtneNvg3RJLiVwcXr07y1PSvHqgw8g5Q9fjXYfdugnLBVy/EfPQDsgjT7n4xotnWB2VF5MfN+fYV8Jb1swgNezNE8ul07TNXb98607T1PBYinNaiqY9lgAPVYbzNkGFEDuJpYQlw/evkRqjScZ+Y0WmfVP5pTGYm4V4DM26INL7ZYiI5OHcQ/VCCCF2gGY2drt38FLSgBusVusyFQAvqrqnsewGhiFj9ZzdEtbvslEy2WwnajAvvvHSV+WvYgXWIn0vTXvMotnbfEbam5X2L0ZKRp8s0spOINI34o9ig9pzwUpUp19Rul8+pC8phLiIeJWUbGfgsFcK9efJ1s1xIdwfbTFKWrOQIjNKVLkrY805fAEhhBC7x3oN6rEmrfXZOMz38H7a/oO7Gi+HA3gfhf+RHjbE+jrnsuYl1ripCcPpnLn4q+1tw2IoagkU44Uin7y3j107wDDapqExoOeOLteVGTAHUtMAhmEwn4eSQ7sf6WPVWMkZlocP5/sJIS4uy6MouD86jHHJjNaM1sKAmZUamLZEXNrSg8pnc9Zy7M08+r6oUaUQQgiItei6xUvMC4ZDArt+be10D2Pk7r6vwaAfujLtNFEW8dTjowMO4iTzg52Yhy5+5KVanutOoMVa7Ie1FjbWwP4BPvSYGe6ZwY2cYJYNKxrXpRUPiah3ud4as3lLmjXxB2FF55oM7TT3vNTXeD73PEAhxI6QMyxv4gbWL3FiwG1sTBtrbBx3KPtmZrTXb8QYBtDuR7R+rro6IYQQEG1AWqrqmFmDW4o16PXHSk1lmCypvbux0ZgVaeWydu66UBgrUsy088hianbDbNiNq3g6NA2sSmeWWpCUSyNJs/ihfYC2xXKmaRJN6wx5iMWEgTP2XBgXEfHjtLMSmkvlUWppvG03K12q6liNBNXQ2g5YqEKIR4w7rA5HRZhuIA8DVqIs+YTalQQkM5KVcWS2h+WuOEdQeZ0QQogiidzgTTvKic3mUTXRdaRZC6yAol55F9yMbhV1M16bvOchiv+bNsRiZnsP9SvdCxc/TJCHUmuSxqL6wlrNxx1u3oQm0c6MtjG61cAsJVqDWUnXaC2MlpmF6k/rxnJVjKCUYG8vLE/Snc0pjXGB4USEZgca+QghzoE8FCfKEKH8brn2a8yAeUo0pf6lPmrUZQakGaOe/tDBagGLmxN5TCGEEFcWs0jhavfWr60W8Q8d7WyzKOKkEonKKjvD4KTqqO+HcMh3K9warJ3vTNQFLovxUtUPaqSjNpWEkJNzIGfSrKWZNdH7zWHfoEkpjBfi5raE8dKkxLwxVoc91hi2vw/XbsD8AGtnsFqW2hoo8kDFcMmjVLMP6s0gxFWiFjuulmUMKImoDu08ihybMl7UepfpI5UHt5fQNuHpqk6Y6hARQgghmhauPQbNfN2Qkr39UQ2X0Yl/WszEgMUQmUlDHwEBq40oi0yyV2GqHWF3zKj7ZpJHUWtclkui6ij2OUAeSHv7pGffYLZ6Ane41hh7vbNK6Y60sQPgWhuRHEsWUZf9a9AkaBpsnZbWjApnuRul6yBaaKdhLXkqhLikuBfVwSJnnEtktmnDufGMZ8G1MF4Sxp5FzcswSR1roBTzW4w5Q4b9fSyV1Nd8TMRXCCHE1SXnSd+VHIZMHjAf5xZzZ9/g8JREoB4jDz0MOQyeHD3GohxiKOpjXck+On8uvvHStLFQKDnkYah0Reqt3FQfYLnAktHMW7wx5o1xkBI3UuZ2dgbCyIn0DXgsGdfMcI+O1zRtdLxOqaSD5FhINM1oNK0L9usfjSvyIsRlx72kiBaFw6nKS9V4ufEMGGA2M9IqileaUvtS55NEeMmuJcNTOU+albq9ci7V0AkhhKh0i/i39iPsl/hyRbOX1klIZlFL2UzEqWBcqc4oPZFJ5K4YLfWcGDYMoyjVjnDxjZfUhApCDWnVRjrlRzYzPBevqDt2bQ9SommNWWPccGNmsPKxr8s+sN82PNamWIukFBEXJxYSwzAm3KWQUh5v6hhm20hfE0JcTjxvKg2mNL6uk0Df4d0QAjEYThgtacsYaQxmjeHLVdkwi/SxelwrxTEhhLiy1IbFNQq/roMsxsvQY92K2bU5TXNI3/u6LGJG9HvZaI5M1FsmM8wca2xcS0M46Gvflx3ynV1846VKuDUzWB2FkWGTyAdWFBgc3En78yhRyXHDrjWJlJy5j6drMPYNlg5mmcZLj5fcl8WDhUe0htZqWphN08NsLPQXQlwhquNiiDoVdzBoru/HvxbHOE729TvCM2aQkpEX3ahySIowvqWdKpgUQgjxCKlR/qFjbUmsI/yOpYRbRFzSfEbTGN2qp00NDTG3zJx1xL9G+2t/Mdywpsw7NZLTdaODblDk5eEw9Fhq8dRAshL08CLvVutTDCceczNWCQ487km1RmcpFhJtk2jbFCkcVgpvrQljJZWfLpdUkfWiwmJf1djWYkOIy81U1bBGXK2J/OBiqNDOaN78mUCZJAzcba31UfuMpTohleiuzeZgDtaGKIn6SAkhxNXEcxgutba6GhhTQ2a2h+/tY3uz0t0jHPdtMtrsDDYW8ZeCh1DdJXoZemY0XlJZx9bPWx3GOnq+f+zlPUouz8p6bRn20LR4moEvgDx2H53NoE1YY+QBZslohlhwTGvqDdivqj9A2p9FvUtb0kFS9YAaG6ki1BtN/NvMVKwvxGWnRkSqVDqM0ukQ48/ePqmJGjozSKU78vTwVKSTmybRzGfhBEkporypOEhU8yKEEFeTmoZc54FcmrPXmcQdZjPs2nXSY9dIJQpjKYUYTIrifZ9kGplZiMWkFBGZoR/ru93h4LExoynnMGDa81/bXh7jxayUm0w73Zf6F/NirRppPo/SlQQzTxw4dO70kzBaVfyZmZHahPdDpJ6Vz7FqnOQBN2Ntw872JilkpoWGEFeFZgbYmH+c2tGxYaVebsg0KQQI83rc2MQIKeX02EFMVE0xYvDNRGUhhBBXi3VbjjzK8jMpsMehbbDHnrFOG8OMPmf2kpEGJ5mRi+Osmh9zs6iLSQmrfV7a4iyb70M7L9GaSSuA/WuP+ttvcImMl5AwZlkKjRa3x10Y3oUymM1mpNQwmxmWjf1kJDdmxXipHtC9ZNyYGU3bxE1r23GBAqxXEn0f0nHzfaWICXFVqb2mmI3b5nvQL2IiWIV8e2oMOqe4Vsa314cZbZtIB6VOL6Ux9UziH0IIcXWxNMrxQ6mB6UoNTNm/6uDaY/gwYGZRQ1mc7ntmrNhsWJmIpuxzoG0TttfEWrotc9nQb0ZZvAQDch6VflOalEs8Gi7Xanu2D3Zz/GErXprFtUXueN7QRtUsTUrsuzP4KJWcSuTl4KCl2ZsVpbFYnITx6SUnvYmi3GTnHkITQuwWllp8okRmTcveHI6Whrvf0SG4VNWFgbPsR+9aUZCh3Z1iSSGEEI+QWqyfmtGA8Vx6sJRWIe6wPIL5DFurkEHvjplx0ECbnb6sd5tSqN+mUN/thwEogYDZvBgxEzMh1VqbHAJZ0/Q1GzabKj9kLo/x4rk006F0tp54KVOCeVUja0h7LZYS1yxzVIps20kBE8Az5imUGfbnWNOEfFwtyI0PjKOdYjQpRUwIUahNK+sYsToiGzSNkXDylox6LaBsW6NtjOFoyayNWjsjh/OkyldKwVAIIa4W6273tXVHkUy2BhjG154hO2aJZh/SrajfbpPRZ8I2KaesEf+5Rd+x24dLGMq8NC+13vvXYbWAvWuMwgBV4WoSAbLSnLmZZB88RC6+8eIO/TLSMoYaPvN17TxE4521cZESqW1o28S8SdiQWTmTlDHYM0gp0TZGmrX4MMDefjmgiRO7jfUvy6MImTWKvgghAErhY1U57JaYG7O9lrbt6PtJU11KrUsTIf6USmrA9ceg3Z80qCTGuvnBuX0rIYQQ58Gkyn7679pJ5kUkxuH2bdJjBxxcP+DJN65IwL6BFwOmSMmE0hgReWmSxfJ5fy/mrP1rsHdQjJKhyGE2rBOe+1UYUZTU5pqRJOPlDEw1r2t363qDmwb6sEYtGb5aTnLInfms4dAG5m0T9S7FC5qKV7NpEm3bRs2tE+/bvz4Jk/Vj74U8RFTn4Maj/gWEEDtJlUwuxY/zPSzB7NoMe1PPbGYhYVlIKRwhbRPqMOzNw6M2rHDfx/BxchBCCHG1qJLINQMol5TkXOpdiogUNHB0k3TtGmm/oW2iSP8gGasc6+Hjal6a8hl2bR/29iJtrJ3BMhxmnjPW1OKKEmmJTsvl48v1PCIudv6BTyzC2ihhW8Mn54ic1OPNMBrambG3n8oaI7ydqRTHNi3M58b8WhpvDD5Kx0EJ35XPJYdHVAW1Qggokuoz1r2espNmM2Z7LfNZaSKWbP2YOtOaBppnPAZHtyIM3xdvWs6T8UgIIcSVoTZkr3PB0G2ubSGcWwb0A7a/T7pxgFmKPi4pcb2o6LZWersYzMx4rEnMLKIv9D02n6/bgdhQyjF8En2Zlkmsm2QS/z6idfDFjrxMky5yLoZM9Fyw0lTHAW4+PvZcAEgw20/sLVNpWrnJrIWD/Rl7B/OwROezSEvLVZLORilUm1id/ao0xBRCXGmqVn4ttl+WejtLWDJmbcKLwiGw7inVzlI00e1XYbgMIYXp7jHUtBpfhBDiSlL7qwyrqPFeFzyU3i3Vmd+2pedLA0Q9SwPsN4l5zgxjgw8aG2tikoF3uTRiTzAvqpcYtpaUqe+kfH65htRwR/DgYf4Uj+yTHgZWcu36brT2mgaGZlT/ygMc3hzTLXImzRtms5bZzEkp0w+ZPHh4QRtjPmvW0Rgai/QwZ5J7nsamPePFxCJFxosQoob23WG1Kmmn+5BCCrnvM+abA33MF6Vhbu+j8IjnovqyJzl2IYS4yqRECBsfYtbiVoyG6qBPReo4JdyNpqxhm5QgZ/qUNlKuqtpYaykUyIrBE83Y56NKL4TRVJsnY2MdeO0B8wgbKV/smdAs8sLzsrxOZQXQrGXjvO8jajJpKWr7+9isYTbrSamhadJ4uvLDz2aGmdPszbC92nzSi9hDMzajWwsBtBFWE0KImmKamrX6C2Y0s1Rk2mPM8UmI3UrY3h08MUpSQtRI2sXO8hVCCPEgqKJUJZW41l43pX1H04QhcW3O3p6RgD1gmRIN47xT17u1RUhKwMF8jN40TWmU3EwyjTLYvNS8TFV9m0dWrA8X3XiBanFAVRTzSUoXFsX6fRc3oUiN2v4e6Zn7zA47smfSNNRlEVRp21LvMmsjdDabQ2qwtsVnc2ydylEMqPoHJIQQzQxrOrxpIhqbhzBo9ua0bcLJ5OzryQOgSRZCIU2J+rZtNCCrai79EvK+pJKFEOIqY2mM7pd1p+FkJ+YMB/b3aK/tAwkjIi97Huq60+jIjDL3UIyZ1Qpm1QgpJRl4cc7Py2YPQ6UpdZ3VsFGTynvEoHoyzTwWDKnkAcKoFlYOtbZlvr+Pz2+zb0bfjwoJ6yLaWcJmTXTxaZrxxuQeuhXMnlFS/ZpRBWgmCVMhBDFWzA9geYS1MzwZ7O1h1+ZlOEmlhC7Gno3CfS/h+HYW4w3E6zqJCCGEuLqsC+fL/OA5soyGodS9gD32TMyNYcghBEO0Ddkz35hFQubK2GsSe3sNHBVnf1XK7PuJIEAfbUPmB+eewnzxjZdmVqzQ0sDNi4VoTalTKRN+0wLL8paWoYHmWdexxw+xZBu1/6kxrG2wJmFtO8rSDeWPo1/GTU0wWp1VU1kIceVxD/n0POA50scMY3bjgGaWyKscQ8hWFKU2MMYM9g9K9+Q6rrmiu0IIIaDdi6yifkVERojnwxDPS52KpbEJezLo81hmX8Ur56Ucv52Dz1Osn2f7ZSuT9OUqWHX+PQ0vvvGSUliB3RJ8VbSmJ9JtXT92Ja3Hm2F7LU3bwP4MG3JR9Yn9lsJ4SfOWNCs/Uekp4znH8asFXHtm0TYtBk7fqWBfCBFjTm0Y1i2K88RJTUNz0JB7Lxogk14vZkUopOQbW1PGpWGMHj/CsLwQQogdpZ3HmjMPUVM59MV4KfOOGTab0TRhvOSShtQWi6VmndV6l+t7DXvzObY3j9qJponkorYqjsX7me3txDx08Y0XiJuY2rAGl7fjOaWAqe8iB9AmUZGmoT04YHVrSdqfkbty8wvVeLF5S5rPS/Ft9YCWovx+VeNtxSqd9oQRQlxpch8Ps0gz9eIZaxLNrGFIw3pTxczWoiF27Uapk7FRDXMHJgwhhBDnRC4tOXI/Pl87tbwo7w7hLOs7uHaAG7St4T0MHtovwFrVuAH25+HcT6nUjVc13eJ0Wx9sFo77ZnbutZeXw3iBrQiMT+Smi2FSjZOUStH9jHSwR+5z3LBhqppgpL0WO9iDpsFSUTGrq408EB7VVeSlUxpWJtW8CCGIiEkVEqlyxzipbYsKpd1RsA+x3eYUZ8skTWxjTBNCCHGl8AzdUTyvfQ3JkxBKcXRlLzUrDen6NcyMWRsqljZwR71LlVKez0MwJjclbaydRdmED2sBLACGDpaHcHDjkX79bS6P8VKZzbDc4210B2XIUXQP401uW+zGDdKt27DX4o3jNW2syiW3iXSwF0ZR1bj28geyFgjIRaquyDPnvnhLzz8fUAhxjlj5T1O8WEVq0to2UlKbfm3AVFKJ3KY2YbP5pL4lj9HdOoYJIYS4OvRFRaxGWTY62Rf1r7pv3bTd8HliNksMORz12/L8ZlXpssEaI3U9MXe1Y62lDxSvWsloWkC+dq7Rl7t+spk938y+z8x+1sxeYWafPNn3l8zsVWX75z/cSz0DQxc3bbYP82shb+y+2WQH1g180nwG+3NslkjzJv6dNVibaJ51nWatc117xxAWKeBWcsaaWXxeWxYb3epcvroQYodYa+O3Y/h9tgcHB9jeLERCmKgblteWjLQ3I924wbrJ5ZBHh8jGhCWEEOJK4Hl0XOXi0LLm/9/eu8XK1mX3Xf8x51pVe5/zfR3HcccJvtCBxFKaKMSiYzkYyyEBZEwUAwoChI0tEBZKHmypg5XYEg/wAlh0rCg8YMURCVhKIO5cFBLFndACLMWdtE3HjruJbaJgOjRxGxF3f9939q5aaw4exhhrzrV27cu57Lrs+v+kOrtq1aqqufeqM+cct//wsgY/J/alIsDmGloUOSf0q4S+MyMmZ1tvcraGyX1nz3cZyJ1YNtG49c8ZazQn3hewdWjY7vf3X/CQyMsA4MOq+lMi8jaAnxSRjwH4cgDfCuCfVtVrEfm1jznQBzEONVUD8AXfL/Dzt4Bf+UfTqeJGSb5YQbuMsh3dNknIK99ciACXl974B5PRA0lulQJTc6ApvaOAEHLmeMMuwRYKL8B3ueR8uYauroHtOIu8iMDk2ROA9drmmNybekzufbE63K9ECCHkQEgyoyIUdKcm7YNF94sr4cbzALSM6FYr9N0WuBxwfVXsXKfrkmWcJcF6nUxh9+1nbpi4kFXuqihVG/UfN4CuDpYJcK/xoqqfA/A5v/9FEfkMgK8A8B8A+M9U9dqf+6XHHOi9qLrqwgiUjVmmbbRFvF/LONbHfW9SpWlAXvW16STgUsgJePbMoy+N0k98abSYBnbOANyA6Vd7/bUJIUeICLC6gF77PLS6dAMmQVa91dGtBKlUZ4fV1gnkovdFw9PEQnPfzjrM70MIIeRw5N4bFc/3sCjb6kQfR3Pie2QmX10hXXa2RUWH7rmiFL/pvOalX2WkixXk2aVFX1Rg4Zg8T1cWqc0pD5jG/FIJayLyAQBfC+ATAL4GwDeKyCdE5H8Wkd9+y2u+S0Q+KSKf/PznP//aA95JGYHNe37RXBpZixkfkQdY1Ivrna6zC+81MLUwP02bDPS9RWh6z/WDQGDniMRFa3IPtbjSGSHk7IkQfhdRlAx0HdJFD7nozMuVEyTZTySXSu77qeAS4wAVVzuccprJm2Yv6xQhhLwqyQvpq/ykyRjP1gWtP1SBYUBe9+j65M2RrSi/6zJWfUbfZyRvTtl1Cfmit3rLlcshq9i+GKXWyoSybyNCdggebLyIyFsAfhTA96jqF2BRmy8F8PUA/iMA/70spXMAqOoPqeqHVPVD73//+9/QsOGRFm9Mub1C1S12QyUMicvnrvwDoG8MFsBSM0JmLowWu8L2+OLCzste77K6cBUg84jK1GG0KdpnTjohRIsXWJaan7y+hKzXyKsV5KID+jQ3YLoMWXtvqXCghES7JJt/yKPwaOsUIYS8KaLuWmQSgbHyCGkUweZZQrnv0F926LqErpOpjDtnoO8F61VC1wskJ1O7DKdbKVOvF4QDLZzz42D3D9g0+UFhAhHpYYbLj6jqR/3wZwF8VM0c+5siUgB8GYDHd1uN21osNEVZuqoCFn/PKGgS9Rz0DuhGj8QUM2T63lK/oou1/cKmSLZa1S8IxDcPCnRe8yIeqRFUw4WOUULOm2E7FTxKGaHjYJN93wP9CpIS8rM1CgDdlslZJn0C+oy07oD1JQCpMssXb7vmPiGEkLMkdUByhxjURaq8qD73Uy+xNkIvOUEuV+gHhWxv1mSnLEhZIH2G9B0S1NLPthvPatoAl9pEWvz+gVV1710NPZrywwA+o6ofaZ768wD+eQAfF5GvAbAC8MuPMcgZ0XgylA9Cys1l4SZjJoyLUGjwlA2UUO5RSFHoxQVwdVXfB7Bz1+tq3PS9XbTNC2i/gmi2HHb1Xgzwzwl5OULIeaLFDRefn8Sb15ZSQ/l9j3SxsojwGtY1LBxlXTY55efPPfKikJQha0ZdCCHkrOl6N1Z8vzoO8IXF6719vyuY6lFSSsjP1yiDou8G6LAwYJKlhqU+A5eu0Lu9BnSEDgMExT7n8i0Xq/Lyi3EDW8AOw0N22t8A4NsB/IyIfMqPfR+APwHgT4jI3wGwAfAdqnvImRoH+zmFxTzMMnrjSI9+SDJlMO1WNRUs6luiSHatkGELTcmsy2Bl3lHkDFw+qwpjV+8Bl++zL1BK9nkRPsswKdQDhtEIIQcm5pZpfoLND6qWtpoz8OwZ0rvvQt66RLnaTJGX1CXrL/XWW260SE1hvb4CaMAQQsj5It6MPdqCxM/kbTokal6s3sX2vILUZeiqg4hAe4Vux/qeWZCypyxfrIAhjKOQY07A4PvjCAaE4/6ABfsPURv7cdyeDPVtb3Y4D0AXVUKh/CVD/YOGoZK6mi++jIqEig9gRfmXlzc/axWGj9fDREfT1HQbBex9L95iMS0hZIHnJneeguoqiHJ5Cbx4gfRsbTV6nmssKdlctN1Ci0LEnShXX6xFlIQQQs4TEVtPAHOejwNUOmjUWKZsBkgyZ31+6znK1RbpIlt/wrFgVp4uAllZr8PUdTMBKhFbm6baTUkuiqVAPpxMMvDAmpejIuWaltEei1CauLxo8gJX9W6hfQ9s3ADJuYbX+h7Y7mi20/euTuYFUaH0oOppf02QSctBLVBCyJGwbCa53VRlw7wyw6XroOs1RBUSwiOAz1mrKs8OeD8psQVj2FKKnRBCyLTPFUnQ6CM2FXwXoCgkJWhKkGcrpFFRdIAMAs1Say3XnTVHft8lpMuWISAARt9PjwXoxCM5ybOfBEhjjfocgNMzXnLnlt8IU1Vo6lR0hCf7mZHRrYC8nixQrHzhH7ZTPjlWK7vfpo1FnUvXzxXITJ7Bm8+pyy97bc24BdLh8v8IIUdAeMWGjaeympiIANDeDZG+r3PROFZDxxUPJ6lKuDBIcqfISOOFEEIIzIhQBdbPIJsXQNdDcwbGEJTydePZM+TtFuPVgKQK5IS2wkNEgFVGdseadB1CsUwhkOLGCpqGlSFQtb12cZn9c3rGiwjQX9RGPAlA6r2If4MpDy9y9i6f1chJ7oC12MZh8Auy3dZamPYzIMDFs2q4RMrG5fuqV1RHIF1U9TJCCInJfXttRY3Fc4/79TSXSH9tIfyQewfMcLm4MLGQy+fuKMnVo6acYwghhKCuKxH5mHq+XFvWUYhYeb/C1GUUEegwQkJAJgmQBflibXvg9dr3t9oU/aeahRRCWIDve8eDZR2dnvECeBSkA7LXv0RUJHVujbqMnBYLeUXBfdcBoxcbRf3LOFjUJYQAAHuuXwFrr3npVr6R6CDP39fUzkjtPnpg2ThCyBExdSGGRWghJmF5cWlRmYtLyDaKIJvIS87mKFlfWB8pBQAP41MMhBBCSOugh6dyuSECwA0QN1w2G2jfQ1YZaRCgS9AxMpasmN9SlnvrbRjGUNRiJi+dEBcBiOejqfuBOE3jZRwshWJa9KMXi8J0R9F0GN1W67Tr55LIKdeIythVC1KSHe/X3sgyT55Tya2R4nrYuXPLlBBCnJwtxXQcoMm7gnU+f1xc2OOhqbdLPu+sL6uDJNncpSk1TXEJIYScJVo8qm+Oei1qtZUpT3XZ1mDSnWEpAc+eQV68ADBYUCW2sQLfG2fIamW9DUMMICfLagLcue+6/lFXXkaP9Byp2tjRUYrLtkn9Iw6bGv2IPPPg8i37A09pXd6UElojMv0KyE34Kxpari9qipjXyOhYIGmsm4t+TRUgQsgtiE38AlsIoo4umla26ape84K33/aIS+Qle7NdRncJIeS8WHYg2V6b4ZCybXXHKzNo+gvbi6Zkz/croNtYaYTXfN+6S42a8HCwjaM56wWo4lgRkSm1tOKA294TNF4WfV6AGk2J3LztWJvCxcXM/dw40WLn5QyMqOG2Ng2t6zClhkX0ZnvdFM0KsLmy/EJCCGkpIzBcQ8NRkjyUHzV4Y6u1H+pibtB401sRV4WJOhpCCCHnQTjro94x1o1oB5I7d6y7RHLuYU0HUdeM9dpKI54/t+PjWNeerqs136uV7Z+j2H91CUA9ApNq25D4XAUOab2cnvFyWx9MaYyPeKwFsnkBTa7wEzl7gKn+rFa1qKktuI+NRqR6BL2rCJUYgwKb94DNGlg/e5O/JSHk1In6u4gKi1gaWL+ydLHsyogAJifJ87drRFlcnj0l9pEihJBzQguwvfIHoTjpSruRzqXWC0wlQaCmIhbLRM5zVcvVyoyYaBWC5rz12lTGem/AHsX4AFQF0q0gKRxoasuW4KAOtdMzXiTBQiULIvoybswwCUt1u7ELrUNN9VK/eOq5giJAaoyiiLyU0nhEV82mYrGJePHO1MOBEEIATKF1gVrNy+S1CrXCMi/Wl+QiIV0thkzZnCW0Wwgh5HyI6Egr1KLJjBf1zKISEZTexHZzbw6yqY/hyksrBiBtrQHyZtO8t9R0sYuLZu0R4MW7wOVzSHaVMUSjSlggIPXzxu975vR228s+L4gi++gCqrXfizTKYsNQNw1lrJuDUBrThfGy8p4tUf+SOlNduOH9FLuQmxdA9/bj//6EkNMgdzWCkrxHVL8Crq98vlkotXQu/NH3HqmBh+oVuHph0u2MvhBCyNNnlzR+Sm7AaJUpBsxoyb0Lwng9SspAp7UdSOxf1zv6EYagVd+7sSTA5trllLtJGECk2OesLue9ZA7A6WlvRp+XvKr1K6tLOwbMdaddHllEIP0F7IJ6/UvKdrFWK9tQpOzqDC6THD0WXDtbwiJ1Y2Vq8iNSrWFCCAmK1a1AvLGXNKmo0RHZ1cTQdzbXxAKTvd4u1oZxM1cmI4QQ8nTZJY0fKcjdGm04XpIAl29B4FGTLtdU5a6b17YsDY6UTEV3tfaaF1+jtECh0DCGUOaCVgd2pJ1e5AXwi9ADWMgTS7ICer+oCpiRkztg3EK6HjoObuB4vnmEvdralkm/Wuyiihcr9ReQyPebzg0PKaWSCSEN1+8CZTtp5WvvC07ugFQsfTWY0snE56zIPW76SI2bRiyEEELIk2XKMnInGADrct/XWpPIOILY/vbyLVszclfrXUqB5AydehKmG5lGul5D+sbIiabuYQDBMwX6lX3esDGl3QNymsbLbWS/aMMWQOhQp5r3Nw6YwmlSgGE0IyjSy8IqaRUV4osSTS5bwjJOiYpjhJBKKe5IwbQYSNdBIzQ/DB6ZiQaWHo2J0H+/snB91M0MmzqPMXWMEEKeNpFlNG69tkWAvJ4XyUdPl6iB6ft5wf56ba+NdSdqw0ujXha3tuVHRGtWF1bID5jjPsoxxoHGyxtn9QzQd6vST8rNoo9a1A9Ub2ejrDARYbGQNY0vTEp+/SLdY21KQJQxJYSEk2Rz5RHeRhM/DI/cufhH5DRL9Xa550vCoyYCINliU8Ih8/SmbUIIIQtELJ1YdV4DE+vIdjNFUVSL1alMcvxu1ISCWNdVoSp/zbSPXV3MBWU6f82zty2SI+L15L6P3pXStmee3irYr6z+5MUXp02Aps6UFlIGxBtUtkxpYgvENw291cXIpG/tm5FLlzUtHumZQmyEkLNkHEzecqyLyuT82F7ZAjL4AqHNnBPzRvZjWuYeNHXlw+Ga8wwhhJwL41AbscPrJPOq9g0Livc3zH1dM4CpL4x4ehgGE6gSoNZYrlaNTLKnjHU9kteDi3j9ZaSwHUH68tMwXlQttDYO9Zgkk3JLHaRfQ1Fqc5/SGi+Rz9f2XPDjgkkBSCL/LzXpY9tNjdyM7hHtVtxYEHKOqHofqBANSdAy1Bq97abOEcPm5jyxvqgpqpJswUC20zpXgQkPnDDSSwghTxot5rAKsSnAG1e+6+sEatmDqkdMotWHZxMl36+mBCkF6LqF+14a0SovvYgbIivJ36NoXacOzNMwXoaNFTZFakbkAMLTxhLsAqY872odmwed/oknapGSbyRM4SH6xHh9zLAB4CkguTfjKfc0Xgg5W3QyXOYNdQVaii1A67V3Sm6cLR7dBTDlKKuqqcgANR3tCML1hBBC9sA4eq18s6cMQyULIH1NTwaA9VvupE81qhIS/WUExBxrUkKRF3Vvm73OJTV73nGsRlOkjHXHscc9feNlHK1AP3mK17i1x7P8wA4iozWKW2pnzwyY5vH0E9UiDSLvPHn6WCn2pUghmcwNBiFnSTt/TFHeOBbpqRlYCaD9/NzJ8KmOEi0DJNJXJzn2wy8chBBCHhvdccgNj/Ypr48UHUwUJlKVo25yfWH74ilLyF+Xszv2PaMoMolStjqY7QtX9o3U52t7H6aNvQaleG65F+YX2M9xxHRV435OgHb+c0c/lmnzsDwe4bZ4rj1HZ4VPZtAschAJIeeDeC7ydlMXEzGNFohAUoZGgWR4vnbR1rRMBZJuCHV0jBBCyFmQMoDtQmWy6TE4uqM+6mHKUNt25AwUqUX4q5U1ZW/ruyWZYZMbwwVS+xyO41wuWRW4egfofvXBoy+nabyod7SP9IwIm4X06NRAMs6XqtogCWbp3EGoKUSaWDS8nLyqcfG1MYa8geUR5AISQg5E15u85ebFfHKPYseYr+6i7Rk1Dl6Slxaa+4QQQp40UTw/utBUrAVhsESNJeCOskbVEslSy5Lvfy+eWVQ/WonAazH7VTVcxFuL5N7OEa3pZ0EICFAq+RWYJEh9IyBS7ZFZ850M6LVHRBRIg4XI2lzzJZEmJmL61qrV+AlCUzu+KAAmTe4jyAUkhByQ9aXNAy++gEkIZJLI9wXmLkKPX6ROJxHKPxKZSkIIIY9MON0nAyYi92NVIJv2vB41CYGYYeuPcy2rWK9r88o246hfAd3aeoxJtp+pA5AsutMaKrLj2AE4UeOlNDngceG8iL51TKpHYiJsFgVJ23vev81bbyVLgcZgighLUzNTRuyUXCaEnBf9Gtiuvf4OPvesAbxzUzjkVnwxApoizTUdJIQQci5IGCBNVk+ogW2uaqoXYIpiqzX0ugN6d67nzXxPu1w/cnYFMfGm7CZAJSE+pQVaCuTI9rbHNZqHkqQaLqEGFrdW7UvqBZ3oVneXpbSpYapufUq96H5cI/IT0qY5N1rchJCzZtzaPNO5lytlYP0MD6qJiwZiaTm3efMwQggh502K9cCMFA1lsH7tMsdNKUPX18brs/dItZwi56Y1SD8vyo9UtGgXkg+/Dp1m5EUVQLJ8vDZtC3muwhA1MfDGOsPW8//82NLOEP8n0jLGAly4EsNkwPhnlVLPS1KVHQghZBx8ku9q0X7X1cL9knbPF63Eskuyqxbr+RLdkRl5IYQQsn7uCrueZeR1LNKvbM0ZvedYSpYuVnzNiWOAK5OJl0q4wdL33mcMi1YiXh7RUW3s1ZgkRwFgrPUn4j1eUnKVBT8OeNERPN0rNgBtfcx8QyCh5ACF9E3jyWgINEXwPAdRG2OGEEKieW7c17HOH8Dt88VojS1Vm+qY4ZopqYQQQiq5s1TiqOOOepeuh4xbKPJ8nbltDdkOJo2salGV1TN/QupeuV+b4ZKPw2w4zdUwtRek+eOW0S1Na1ApSWp3UQCQBJmiMW0qmCzeK1CgKLQ1cuL1qa+2TykuIjDeLQZACDkPcuc9qEZoNLVN2RaG7PPPbWi9o0tlMkZdCCHkvFHf78a+U1FrX6LIP2pk0kPWjGKZRqkDVhcmVgV4P0N/HxHb326vgc17B9/rnqbxImJWYBnnaWOSMJNKBmruX6vWk7p6odvb9B4N4/ZmelkU/0uIBLiRJNk8pEwfI+S8keRF+Z6yqmoLSveAXlDtvFaayecIQvWEEEIOSCkmxb+9bqSSfZ1IGZK8mF8adcqHZAWJ2PrUtc2TUUsxtte2Hy5uLB14r3uaxgsw5ZObOoL/jJSwlslokWqddrkem90WetaAWaM3aI0ct4DjIgM1r5AQcn6oWgPdWZ8Xv5/7+8PuafG6iL6wWJ8QQs4XVTMaZrXZ3ucl/mmbpW+3mNR2dzZi971v7qqK7rS37qosc9TTzCI++kDVzMfhOJLXXpVlpCQW+TavfLIMZSqYRXcBDO/c01CySUcbByCt6nFEbU2TbjYOVYmBEHK+jINN6rP5CHORjztpFpkwWFLPBriEEHKOREPK7QYoQy2HKNub0Y9wwuds2UFxvyxrLhtlXWDu0G+NHT9/qsEMAyYynQ7E6e60IxTWNunZFcJSRXSwlJQBJEi2n7e+9awORr3ZT/uepXY4bTcacYybDELOl2iiO0lT+hyVQiRE73BymBpZzD+SO18fCnD9glLshBBybmyvLG0rKAMwblzcxQ5pu//NURfeiFt1fRW7amX4k8sk597WrbTIQIr3Ve+tqFp7KB5wr3vCxos0He3dEkSZPw/MZUcFwMUzWOdqqVJw00sWx3Z6SRVIISO3UCyDAnmFneE5Qsh5EJO9JEzNxdTEP0IZUaY85EXdXchWwp0oqiY8Ep63pSOFEELI06UUm/eXCrnhuJ8cWo0ibkqmOBaGSDjSol576tfSZAutL7zkod2/ymKLq9WAyd0DMwkeh9NOG0sJWF3aZmG7AUIuGWhkqf1CjB4VWa2ATS18XRowN94fi+iKJJOUi/eOL0psRHrmpRNy1ihqVDj3wOBNJ0uBNrVxkpIrkRlTxLdrNPYnRRc1b9uwmTcPI4QQ8nSJKMfotSeTwRJrh/UtnDLCUgeRDtqv7ZxoQNmmjS3rMaWbnGXVqRafr/42i5rytiH8ATjdyEswKSFEgaz/SgJvHunez0gdk9qQ5443Ra15ibCbH1s9g3R9LdCfVB2ipub0/6SEkNega7xcUEg275dqQe1SbEWVEe2dDJfpOUcVtduL1joaQgghZ4DUVOQo1I89aepwIwV5cqarGTJTM8pc62FmIlVm/KgWVyvbvYfVeI+4ba8PmsZ82pEXwC7o9buYIiSiM+NwMl4mGWVgMkx0mfbltDUv64vFBfL7q2f+Hv6Fyj3VgAghrig2WqTk1nPcwJnJXLYS7k4sJJNThEqGhBByNky6UG2xvT9O3azWW0SgpdjzU1E9fA9cmsjKDoYRePtyEZVJ9b1ap1ruau2LHKbu5fSNl2GDaUEPa1Rrnp50HTQNbuDALkYULkm5abvMIjIuGdfmEqp/5uXb9nkhv8w6F0IIYHPB6sKb5m6BUazeJdK9JjWYpdcsal7CU2aRXImamVisCCGEnA+TgRAF8/FElDWk+nwIwoRITMlAUkDz3W08xg00eXZSK1iFpn+ioNZwCjCvj9kvp78SDlvvxdJIIkNQm/OIF7mWJppy2eQALt+wkYpzxQZZamSPA3D1biO9vD6Y9UkIOULCOOkvoZtfATDWML02c9GueSP31pDSU1EtccwXkX69z9+CEELIIZHGoTWMmDat6oX8WhpDwrOJIoKfMpBGiCZoygDuEHzZXgPbLfRisS2epZP5M1E/U9o2IvvltAs0VGtqxlRk5IVMIVu8WUjMiVTrM+TkZje/OClXJYZI8RAxpYX47CjK3V5RwpQQcpNQZwG8rqVRedlFyhahmfKWgWnB6FZm2BBCCDkPQlm3DDDDBDUCEhERNJEQiSaTvsYsC/DvYtjiRjpSSvb5rVRyZAEMm4M1ZT9948XuVEWG9rgWU/PRRZHrOFRjZFexU+cBKfFaltycE+/dfjEUjSoQIYTAJvWxmdzVI8RRgxdpY9IsODH3RApZSFfmzpQVmZ5KCCHnRdd7o+LObnnlJQ2Y2yVTEb5UJ5kk28Pq8uRbuFFKketnAdVxf0MRc7+cftrYVHR/S/H9ZJm2jLXmpa1X2dXjZfJ01s/QlF02bvE5hBASjIvuxwqTR86ufqiRT+xEqL9EE8uYm4pFXdj8lhBCzhNJQEbdmxZ32LeF/K0McmpULyPN67Ztcv0Qe982M0DgqWmxVjWql8mUyg7BaUdeAJgn87awmFrxkcpcYSEk44JdBfet3NzsYue5vvWk/uDKQeM437AQQs4PVY/wpjp/+FwhU7qqzG9AbR4WiNiccmBNfUIIIQekC4UvX1B2yua7YZE8Wh+tPkJ46q41RBIECpGldaNm0CybYUZpxoFEZE4/8pI6SwsrTdpYi4g1jtyOFv4q/nMqcNr1mqpIJq1Fm7KrN2znDX9UgesXzZg8zBZFt4SQM0R9rtHGQPE5p+u92LKZf1KywsgcGv7u/dJidXss1ieEkPMk97ZeDBt7HMZL2WFsjAopIzR3JkAmLk41pSLvoF8B4wgdFdK3cv25bpUF9U4o7R4oI+C0Iy+T1zLj1lQ+EbsorWczivNzbRY3FTqF4ZGyGR9hdYbigxb7spTiKWttBKZRYhiH+iUjhJwXk7JYo7XfGCoiYgZM13lxpd0ke2Q3xEJUbeq6fuHFlIQQQs4OEXNgXbwF9JdorAnMN8AuLKXFlHVTQt3qy7x+ZXpJs79Ni810d1GbKLfiVim50u5hHPSnHXkRMQPj+r04gF2RFBGXiYvCIoFtDqKQf7IcvRAp97aJiGLa2Tlw2VK45Ttayl/kE6KJxkRX1NuaAhFCni7dyhwYOQEDbjhYJvWx6UCjbDjNN2H4jKZqGM8TQgg5P0IxV5vHk/Pc1w53dIkItFtXx9ckVLWaR/3jPQTN+hJCMuHgj+wjVzm7zRDaE6dtvAC2QdheAWM05FmGxEKJLNlGQQskddDUWSgNHk6bFBSy929plBpmxoeHy0rsRiKEpjUS0xrE7X1CyPmQsivDrAG5hlkwcAXEplYObsjEwjATDomosACDS2VyQiGEkPMj0sau3p1n+1RLxm5psYbskua/4QQTIK8hkxYzgNSZsz67yllq9ryri4M60k7feIlFPwpgy+gRD2BSGitaL6CmZlNRgNKqJXgqR2wi4n2nCy81tAZ//wmtdTCA5yFSgYyQsyXmnMHnqKLQKHJcqMNY+nCaR3uBm54vGi6EEHKelNH7FkZfF9+/ine9T7Cm7do43Gf9DBtlspbYR19EOlo9rmWE9BeWshYNliUd1HABnoLxAlj0ZXOFKWRWvJ8CcPMPHGGzfmWpGF2u8nLxc0rfaBtU2sZiyv0rpVEFavrNtFarSI36EELOC1VTCgMACDTmmKW4iErtLxVzTbyqa6boZVSGEELI+bC9tqyfyQFWqiGRXJAqal5ifzr6sXhedhXsJ0i+uf6EopgOG4j6nvdIhKiexq46967Eo03aWOSTp7n29fSabl4iEw18JEGSq421dS+SzDMK+HuWHRZsU/Tfrezz2bySkPMk1GCmhrblFlVEnc0/U6pYboVGEtXGCCHknAnDpY3Qh9ruONi+dIjITPQqzEDOkBTry0KkSnLd6y6iLhBYFlFEXLRYoOA2xbI98jQiL6HCkDtg6wpf4aVUNWtVmnSvUiA6Wt1LWKqAR1ZCJlnqe4RBE5/V9mFoLaDU2WsDZeoYIeeL1h/TNHHLfBA1d3nlkslNrV3uzRnSrx5/yIQQQo6PNt14HDFfSyJVzGX1AYQSr4wj1I0dWa2gwwCUJg05+f42GiN3iz6Gs15kbsCMWyAd1pn2NIwXLWa0jIMX0gPWihSed96ZHRORma31V5Blfnmc3+YHzsJoEc1pO2M3hVI3ImmHa+BDCDkwPlcIAM29iYrcii4KIBuvWH9hkpdULSSEkDNGGqd4W6TfPF40Sdd2H6ulpiIv1cYEu1OTJUFap/xUDnFYTn9nrephrOin0FiG0dTHkZRtKxFlKXFRZ8o/UbSf6vvZk/68Nt+ZJtcQ8O9PU8zvssuEkDMk8oM3LyBazHny4Ndmq69bPwMunh9FjjEhhJAD0bbjmMkjA1PhPmAOcxnqXlTEnp/6je2oB4/9bmpqwAG0DdsntFiGwIE5feMl1MXCgEjZ1RY8xLbd4EaqRmusLOthZJGy0YbMpvPUNiWh4hCW8GpdP7ct9ieEnCe5B/TFwhGyi/CcSTVcEC+hyhghhJw9IiZXPEXxY21oIiGrlde9NKUSCu87dm3R/LIwYFJ3s4cL0DRmH+d73WFrks3qvV9yv/f97ukbLzeK5pvQ2fYaUyPKqHnRgiklA2Xxxxa7CKmfHs7qXYKUa91LfDlCB5vGCiEkaOeHe6eGMFx8bkkdAAU215Y2Rggh5HyRZPvTMjZ738UeODc1KyGhLDA1S3ifmLaGe1IZy7bXLQXo0txYKcV7vPgtxGiAZizu1N8Tp2+8TEaEVgtxygtrrNEotB8FkIi27Mghb2tdgOoBnT7PlRq69cJwoYwpIWRJk5e82VYnygyZ5idpI7wh+16uTZBk6UQhhBByPnQr4Po9f9DK5VZEEjSvgNHEq0QVmrP1SM4ZkHU1NqJUAqiKvUsv26g1oyhqyme14P7cONQWI3vg9I0XSeahLIPVuUytVuQWYR+tr5NGvWF6L/tCyK4LIMlenqMnAzcThJA78Ea3qqPNN8DueWPycrXHUA2dzQsW7RNCyDmTo/4k6l4i/as6xVTVjIiyqHvpestGSrvWGvHITFseEZkAWssz4GlrUwYTamQHi/uPzBMwXlwm+boJYykwa1I5K8hvGlGq1g3FpBYWX4JGrWz5s+cmghByC6o1rC5etH/9wqai2zocR8rpbOGoPaYAWLi/v9jLr0AIIeTIiDQvVTMiSlMKUUKsynvBdL2ne3mz5FTM+BmHhYFhe+hJfTdqvqOAH2iMEgXUj2H0YIGvabrfzKPTN14AmEECV0qA17YAs7SxiSbXb0akbkhNHbvxMR5qi6ZATOMghLSU0XX2G1XCzTVE1OSS5WruUAFg+vvrmpIaRkwp3vDWPWKRW8z0VEIIOU+6lWUZeWQEBV5Q3xoQnoLka4nkDho13rmrfWIkWQPLWYuQiOy0CmNN08sQlwnDBbDzVeuatQeehvESobHUeepYk54R3UjDE5qaiMquTYAXLu2MfaXObJ9oAnT5NjcShBBjUjeELwLwzsd+bHUJGa49nN+8ThKwfn6j3s4Wh/tUygghhJwNKVvN9XDtdkTTJF2jeeWyHkbMQAmH+04Rqib676q7tebba8olLd7X3ntyvJUB0P0IVz0N4wXNH1yzR17cOow/anLLMAOT0tiOa4BSgLwjrUPhERevpdleA6tLC80RQkioGbYLQ2mivxfPzLmyeVELH1MGuguroyvFCioB2GTk883gzW77FZ0lhBByzohYQ+POU8CGa0BWtu6kAdheeURmqBF88cbqCTtKKWAKZjnXfXRuBajCYJGFHy1VdbHJ4ba/5pVPw3gJA2WyDBurs4zAuIWWEYBvEOIK7NoHTOkarWXaekL9ThktB73rb34RCCFkF10HYA1oM+lLsjC+3KJYqBHup6OEEELOGlVzghUvX0BqpI8TJHVQHWoR/2SgJEsruyFUFXUuWDjPpHnvZaaSmMOtPbbnlOanYbyIWCHrcD2PugDAOECjgAmL525laT2GrFxj0AjMeLlupE9TNkuUtTCEnB+R9jXrUCz12Di6kbJcCBQoWwD9/LXTAnNLiishhJDzQRXYvvBoSttAErOSiEgRUxXgejMd9ztzx31b6x3PA6a4m0LkKtX1rS3iD7GA2FPn/WUHPJ1ddkpmwKwvLb0C1pxHy7gIZT2kW/XOkIy/PDYU8cUpzQYlGmPeZxwRQp4coXwIzOeG1XM7Vgbc6TgZBpO5tDdoCiIV+wzHE0IIOULGLVC09hUMR3mIuYy+xrT9W1pjYqppaW6hLjbVw+T5Y8BTyTpv4u6f3YXIjBs3/drO2RNPI/ISxAVri4pK1LY0EZcku4XI7vNwhlc0LFW4XN0sdOaW8B4vIiHkSEjZauFiMUne4fj6Xdwsolwy3vEcIYSQsyaiLIE2x0sx40bgNd5iho6O8zqXJbN05FijFvvatvlkRFsOXIP5dCIvLd0KiK6fACbPZfFbW8iPxuCZ8gZ3XZAIi+WmmGlXfjoYeSHknAk5yq63+9EROd8hISn3GDZpPwouhBBCjpRolA74nnaIJ9yoaOqvU5y7IwITj2WxB54iMs3+OWUXpmrKJ1YXB1+P7jVeROSrROTjIvJpEflZEfnuxfMfFhEVkS97vGG+JNFcR7yoqIwuIVcwC7mkVG/LHPWHfdDcUJku9tO0CQkhL0lEYlFcS/+WuSWOlyb6Ep4uyYzkEkLIuRPrQNRQlqbe+oZ67g6HWJsuBtja0u6BW5l+oNa69Bcm579+bpkFe+rlchcPWREHAB9W1Z8SkbcB/KSIfExVPy0iXwXgXwLwi486ypeluNICPHR2b4F+sKxrWTwnrr4Q0svwPjJxvqpHZWi8EELgjbvcIBEBpANkvKn2Ul8wT0+V7Br8h18sCCGEHJCUrbZkc1WjLgpYyvEuQ2V6gObkeiztiMZM5/mtXx88yrKLe3fZqvo5Vf0pv/9FAJ8B8BX+9B8B8L14uHWwH4aNGRDdqgmroRoauriAU9isUWOY0ao0+AVP2azRuLAi9nndcV5oQsgBkORFlPA5oskvbuejmJNKae670bO+5JxCCCFkXiQftxv7WueGI73Z7wLmHAMWGUfSZAk0jvkj46VyEUTkAwC+FsAnRORbAfwDVf3bcsfCKiLfBeC7AOCrv/qrX32kD2WSb0vQYWuhtV1/+Na7ef+bYmrc03UAfBPSRcES+y8QQnax9IZh3rgSWERh4jWtQgwjuY/N3tcpQgh5FaKfYYI7u9zJlZJXRbTiVPdE7KO8YvkRqpAwcjbv2futnx+VE+3Bq6KIvAXgRwF8DyyV7PsA/Mf3vU5Vf0hVP6SqH3r/+9//quN8OJMOtfom4Q6J0dusyV01KyLA8y+xC3jx3KIuR3QhCSFHSMglB3d5sFRNHWb2+mFeB0Mehb2vU4QQ8josDY9W9jiEo8p4d53lrevRYs3aXB3dOvQg40VEepjh8iOq+lEA/ySA3wDgb4vI3wfwlQB+SkR+3WMN9KXIqyYd4029qfgXIdETSgh5IE2jSeD+8Ht0Mw6WURpCCCHni6S6RCyFXMJg0WJZR9NrdvR3AZr+YYt0siXRw/CIuDdtTCwn7IcBfEZVPwIAqvozAH5tc87fB/AhVf3lRxrnyxESpVBg8+49G4Cm3sXDcTvT4LQAL94B1s8sB50QQu5lsSDcF63VJmUszmWxPiGEEMDWhf4C2F55+UPTMH3YzhsaR6PjnfUw7YMHePmHDTCu7f2jh9ktaWf74CEhhG8A8O0AfpeIfMpv3/LI43p9RID+0mTd7j5xrshwm8xxNLrcvGeNgAgh5D5S9vklIrb3GCLtwiNo6uoIIYQQeDPkZ2bE5M7SjcdhYaToTGvqxu0+luuOKnB9BQyDpTNvr+12oGL+eyMvqvrjuOdXVdUPvKkBvTaqZiEO19YrtFsBt3W2lgxcvm0XQguklN3n2RvXi7S9cpWGUHzg5oIQsoOpWdgIQO5uVAnAjByXYc8rRnkJIYTcJJohlx6QjR9c1kyWh9e2LN56ErUKtFi4I4X14ylq4zBX0dwTT6/zWRnNGgyjokuW6rXdeMFR24G0gwwbzwH0PMLJ87nUw/Zml7kzy1Ne1JBct2ITOULITUSA1FfVQ2km/vmJsx9IYoZLppIhIYSQW4i957S2FOhkrMR+1+WUl/vahVEzlUxEzfjSeGnrvaM0Qw9Tl/n0dtyj5/z5H1QkQfsLi8Z0TXfSMEjaBpP2gpt550u1oPiSJD93631lbks5I4ScNzHBtznKS0IpUZItSEwZI4QQchfJW3h4OYNOPV8Wxsdk3LTYubJr7xpRm7b/oRZMvWEAWBP4w6xRT8t4iZSxVp60DJBhC009gGKGZ84ABDKTUV50vL6xaZBqdaauPh/GThmAtHqUX4sQcqJosTTTegA3FpWJpjEYDRdCCCH3oQWxdpjN8hKRkLuWmEhfntTNpEowT05+fUAq9OPwtEIF44BZAb6IFzEVSEqQvIL0K7NN7ur/chtJLI1jaaXKLd1NCSHnzRDiHhGOx+1GSXKlw9RZDjHnFEIIIXcRa8zq0vaiLVNJxI41ZzqmUJ3fptTmqcA/NXtfrQq+3epgaphPLPIy1tSLMnr30VIvYHE5uVne36KbNYB6xZp8wShSuhF1814y6Wn9KQkhb4BxwCTDDtS5aJkrLMkXgWSerO21LUqrC0olE0II2U2sMcP2ZhlEy85sol1ZRuFjcynkaHx58WxeO3NgsaqnteOOP6Z0bsCUGo3JHVA29Y8d1qUAN4qY2hy/qGWZ0tBG+5Lk3iMusM0G610IIUtEbtbmp87STNvAdxgvIvacZCB7Z+P1M6aQEUIIuUlKU4bRVGjfErUuO4/fjl6+Dek6TPvntlTiCHhaxkvurOYloinRREddAzvkjgVerL/jPXZdmDanrxR/fa4/D9iohxByxKTsUduudjxOyR6j8ZKl7A4Rj9KMGyBf+mK0KJIkhBBCAEvdGgdfTu4oh7itznJX4UtK9r7d8ZoITytcIMnz/jwtA2peS6BapVKfmoXNbgmf3ao01nVAv55bpIQQ0pI7zxXOtaYlorlxyxYpltlcU1jzQggh5G5StmaVESW5wW370zuUwlSB6y9a+vKRcrxm1auSshkwUy2Lp14oAIwu7QbUsMsDDI+p0Q9qChkNFkLIfYjXsBTxPlOApATVtteLVMOlnVa0VOlkQgghZBe5A1bPge0WuH5n/tyu1GV74vZ9rAKiCly/51kBx2cqPM1VsVVYUHjx/tDUxCy1rwNtbrAO1y1RuJQ6bigIIfcjYl6xMs4iKSICkeS3XfORR3lXF3SUEEII2U0pwOYFsH3hRsY9GURRUnGXE77tFbO5cvGr41LVPT5z6k0Q/V6iiKmMmDYDt9W5zLSxPZyWBdDOL5rUGpd+vZdfgxBywpTR5qGQsuxWvgiMqAtMMyGlZiHp1sDFWzRcCCGE7EbVDBdvfiydN2Xfvrh5rmDheNdbDRJJYjWaXW+O/82Lauzk/igiMU8vfBAXc9j442hYGYZLRFYaq3PStZ69ETAMNWWs66xoVkPBjBBCbmHYAtcvmoiLmtGSEhaFd5hUDac1RCiPTAgh5G7KWJ3z6m1AutUtmUFS+4y1ymEingngt1h7NN439sf++mgEf2AObz69acatXcy4ADdSxWSyXWrPBQDaGiR+QhnNvEs9pl4vqsBw7cbM07P9CCGvSUR+JyEQ74BcQh9/EQFezk/ifaq2V5ZyxugLIYSQJYPvd1tH/GRYLEoiJJxmYbjkxrm/CzdYUjdvBaJq++x02Aykp2e8qG8UguifMEVd2qeTbQ42O0JsrYypajWIpjqaAmQaL4SQJU0TL8DmjTG8WHiA4IdLu0c4nwYMIYSQFi3eL8wR8UbsXt89GSatwbJcR1rhmMXx1N1SrL+jZ8wBOP3dt6ptDKb0jJBJdkS88L4JfYmYAlDvx9smlBJpHajnhgEz64jNzQQhZBdtOircWMl2PN+RDrY0aiJFNWpmCCGEEMAjLE2KsVpqcpXj9/NmGUI79sfLDCJJllmU0i1Gih5FU/bTjrwM25qe4QVL6HpMKV9hcJRi1mPXGDHxmq6vuYJjk5+O9qJGGlnzZdmVMhabjRgLe8AQcn6Ew2S49p5hEblNHqpviiSn+aal8ZSpAmULYKF8SAgh5LyJBsitEIzA1pqSYQtQ05+w8cvPEpFaY0S88TrUojjFFXaB+qIjKNg//AhelVDyaRtMajGDpl8Dm/dqsb2g9ndpC2HD2CjD7gKkSBOLMFl8KXalcZRiOeqAnQ+XZ+7XrI0h5NzIHTBu5mH9aQ7JJgbSFu3fSCVrHCZ3RWsIIYScH+1eNmcA2dPGRjdIMlSjpruJlqguai6nf+xntASJPXVkHAnMsOn6o9jTnq7xMoaVuahvKR5tSdkk3QAzdMbBC5uSXYRS7D1SY5G2RbOAXeTcubwcavRmVzQl1M2miyrVOOroNSXkvHDjI/dNLnJb9xLn7cpFbtVgUOcxQgghBMDUQ2x7VcVgcjdzxEcPMb3RS2y5DjXPLetkIFZicWQKmKdrvFgLUNz862stVIoLllxVoYy1oD8MmZSA4bbio8biTJ6zPmxupoRN9TA7iqFovBByfoS3Krxd2aO4w7ZKUM7OX+YRN+F5Gi+EEEKWpAysnjX12I2jrKnRnpfl13wxmR2LLCUve2glko+Q0zVecuf9VnRuREQBUtHGcHTlhHa/kLqaUnbnBfKUsWELoDRFuAm4eH6/NcqaF0LOkB3/76cCyJBL3mHALCMw3ZpzCCGEkN1MgjCoyri7Gk/e+0bLvXRyp1s6ijSxJadrvET0o5UUBazGJCXLNQ9Z0klydA2sLuz+dvPwZpOlWB+Y9gJqAa7fBS7e9gLdGEv7mQVIjLoQcnaEqEc7N0WEdmdT3FsYtxT+IIQQsptYV0J1N5z6u0++440aVczUqJKtjlOq/4SNF7F0rNx5LrlUKxGwXMC2E+ikNgZP0ciu4gPfZIy7PsTDaP4eCq+RgUV2ortpm9rRGlN5dRSqDISQPSNizpJpDvI5IYmptyAO3aOXfwSdjAkhhBwp49ac8YDvP19jzZhqLZtspLbp+xFx2jvrCJft+sOmbAbMTBq5ANvruYxyGCQlLMvYTHhhfzT7ic9rPztCdOEZ7VZmxEzpa8dnrRJC9kRKZsDEnDJsa0R4l0TyJGcpdc4pgy1MXX8U2vqEEEKOhFKadiFRSzmvcJlz13Mw42d1Me8dM2y8YeVxrT+nbbzcx8x6dClj1aqJPWVveNqXArO6ltR5JCdhKt4Hqsd0V78XGi2EkKCdg6Ier89uyBQAqUooAzDBEa33RUxyeXQJ+I7F+4QQQlAzhkSAMRQus6vx3hPVv/lmdhu2ZhlEqxD1fi9HVgLxtI0XoFqO49bTy5oUsSRV5UfFVclGl52DR1T8Z4ErloVhk1yO+en/CQkhb4Dc21ykcC9W00eqFMwcJIFK9Xhtr1n/Qggh58wkGrVDaGqqv95VBgGvB/d67Bs02UfRiuTIoi0tT3vnrVo1sKfGPGNVUpiQaqR0z+avj8iMqqeceZF/6rwBJTcShJAHIGKyltsra1IZaa/hACmDqxrG+SHxDo8MK5tWEkLIOaLFUohLON9zjcSrmjN+dInkFOUOYeC0Cpd3CMZMPV7Us5Oi3cgOU6EVoImsgj3uh5+28VJGW+xTAjTVjYB6j5iIqk1pgIuUr+X99eXC6iWEkJcgJWD9zBaDYTM3RBRew5e8D1VTV5eyncBphxBCzovJed7IGRc3Zro1sH0xF3cRVPnkUL1sa7d3SCnPSx60viYUfJfjGa4Xn+kiNXuSVX7axsvsAoVlONYNQRzHaBfnISlgNFoIIa9L11ukpZRGW3+sxss4NAqInvqau70tDIQQQo4ELdURHwiq8SAZyMkbVIY3vpHqb3setgbQLiMGydehDri43L3mjL52tQ5/LZY50K9f97d9EE/LeFGtGtdRbBRI1LQogMZwCWUfoZoPIWRPiJiqy7CtUZa8akL9wFwkpPGECdPGCCHkbNhpZDixfpg145H71PQcbKT6l8z2yP452ZtT9mt3runNlLAy4EamEqQq+e7Byf90jJcyWlhtushbu4iSFt5NN2xSN1eNa3P3CCHksZE091KVAly9Y+H4drERz21WNeGRI9TcJ4QQ8ki0+9cbUZPYyDaqlin6H/rxqTFyk3q8SEyqx8RqXa7frW+bOkt3PqL98dMINYSiGOAqYG4lluKKYI28aJJGs1qaPD+93bqdvJ4vKz1HCCEL7ppPovARwBS+b5+7TUWGEELI00Q8GjJbO9SOdT1mhktYJbnzaL409d2LSMsNwTIv1B+v62eE02zzop6WOtzcM+/IeHpEnkjkJdIp2nxAqcdXFwBcozqUfqLupY24LDcTkYY2bqukcu4pj0wIeXmm+cS7IIvU+USLLQ5lrAqHIVUZKmMiQMe5hxBCzgoRK8yXoVG87ecN0oeNZxpF7xffD+cMDG2N910s68T9bvEAQX9R68O11DSxaYz760P2dFbCaBx5n9WXV2a8DFvUmJh7O4drIF3W9xiH2r00jJvtda2fIYSQh1LGOp+EUTJsbBEYhxqyry9oyl681iUfV6MwQgghe2AyDnYYCLnzmu6mybrC6lXGbV1v2vSx3R/S3F+kooWE8jSWFaWSX59mMxBEX5elpzIl+6NHwRGkhrrGAdhc2RdEkl30mXwcgOhAuqLxQgh5CXbNJ6UA44uapzzlHru0ewSTc28RZIqKEEIIWRJ9w4JhA2y3TZ1MZCPdYby0TnktsNRlL/qPGvLbPm/PPA3jJfSlt647Hdcm97sjJBH2iufKaMaMKjBuLOcv5VsawoV6AyGEvARL50pEfyMlTLdmwOhYPVnJVV9yf1TFkoQQQo6MUKQcNra+xDqiY90Xp+R1MIv6SclzIwfwyIrUFOcjWoOehvECuHLPRQ1jLa3E2blNGhjgKRtRnCRNg7hUUzwCBTtcE0JeHtUa8dXRo/KLeaqMtTuyCLC63GsRJCGEkBNl3Fbxqkg7nimNtWlgHumP9iIzw8XrXSJq0629dvx4eDrGC/DwMFZ4NMNomUVSwuL0fjCDK5ZJguWdC5D204SHEPJEmOYawBaVJn84oi1RaFlSXUOu37NjkWMcKa2EEEJIEKpg0/og1SkvGVXYqhGDEVcwk3CYeflFyCNrsch/tzo6B9p5roJhSXYPMULcW1q2vuEQK+wvTB0jhDyQcWsy7V3XRFIiAtwUWQJeiucLRfFOxqWYUuL1C849hBBC5mjB1JgS8Kh+PNeogrX9YSITIEootFQVsVA1O7J0seA8jRegKjdMUZW7Lo7ACpfg5yowXO3u00AIIS0hyx6qhrmrEpfFux9HaP+G3LuY0SOh1e/eNUIIIefNJFfsDi3Rmuo17W2nk5u7oRqWgZxqmYUWeK6Zr01l/roj4mmljb0KcZHH4e7zUhOCi3Bc2+2UEEJ2EXNM6+wIQRCEJr//k5Id39nAErUmjxBCyHkSMvvtvjV1ABrV3UnZMiIrTd2LKrB+Zseu37Pi/uK1L/bi2rNle+3nHhc0XlLnRbKdpYbtYvJ6No/bnHVCCLmL3Fva1xTs9m7EGguL1oVIFo6ScJZEOhkdJoQQcr6Mbmy04lNlsHUmojER0c/ZDZuGcJDliM40e982E0mO11lG4yU6heq2CZs1RNhN1aIv00ZikeJBCCG3kTsAF7boRGFk3zVKLz6XlFAhC4dJo4oYqavLhYgQQsh5oOHoahxZ8VNHU92Fi8OkbdMI2dPAFOZDC7n+ssW0trTvVcajVrrkKhg9YroeGF3xZxyqTBxQvaCtEkN/cbQXlRByhEStS5tumlLtTwVXS+yTedBK8b5TpUoqx3sQQgg5UyIqvzzcSB4LAHQW8R/G5nUwRcvNewCSZRFNCsk6L/ovo8n1HyFcBQNJQJcA9PVY1LVE+E19g5GXhVCEEPJAWqdHyrY4RAQmiiync9bz+jo6TAgh5HyJliDqIjDBrT0Im54tcX5EYqbGlKWuLW1/l3S8+9ynbbzM5EdfYdHnZoEQ8pjEHBXqY7vgPEQIISToVhZRKaWJmjRF9kE0XEeqqWJtaYSOmHojSmPcpFQj/MtSiiPh6Rov4+BFTX5xc3+0etWEkDMj8o3bGphoQkkIIYTcRkrW8X4cLO0rp90OMEWVPC63CEy1BfmRmhy1LlpwrB1VnqbxUorlkbfN3oaN/exWBxsWIYQAMMNluK61LFDzpKVUG4YRQgghuwiH122oejG+PlwYV4sbRCHhn4D1Q5q575/jNKlel3FTG0pGyoUk93JS3pgQckBUfY5azE8QYLs59OgIIYScOrHfjWbsD0VLU+s9Wh+YI5RLfprGS1uYFEzhNBovhJBDslB0CaYwPSGEEPIalLFG9rse6NbYqVC2i/Y0LWbAHJnj/2kaL5Jv/qGnx6x5IYQckqaxWIsqU8YIIYS8PhKV/KjKYelVxF+0aXx5PDxN46XzwqXoIqrFbnnFgn1CyGERsVzlmJdUvagSrMkjhBDy+uTebJeZ6u6rNJ0MM4GRl8dHkjWRDM1rSdaIks3dCCHHQNd7o1ufgnMHrC+PWlefEELIiZAy0LszTAsANedYuq/R8dK48TIMOa6sgKezm2+bSE4hsotDj4oQcu4s56bwfHU9pZEJIYQ8Drk3Y2UyQAQYsqnxZtTspOn55P1eAqn9Y47MsXb6xouq93TZ1KhWyhZpYYoYIeSQDNs6N4UCYr+uERdCCCHksRDBLJoShsjgPcZS9h6IMGOmFKAM3n9MgHScTrYnYLwU2xxArBgp8se319bEhxBCDkEp1l9KmrlJfW7qL+hcIYQQsn9SBlY70sBysogMjr/28vSNl3Gwn7ERCIWFUmrnakII2Tdlx9ykMO18LUeXQ0wIIeQEUbW+LqEIFnUtSwdZcWf/OJoB87I9YI6I0zdebu3pUmqqxq7XREgsjBtVu7U56YQQ8qqo3jL/oGrwx4Ho+8K5hxBCyENRBbZXZpiE837YYCrQD8oIXL+w+yJebjG4UMzpGTCnb7ykDAzjfNHXpjipJazTiNYAtct1q2Gd+91WKyGEPJSUbb6B1r4u42CPh613QMY8MtOtTnIhIYQQcgDGoWlIGfUtvsbkrjrJthv7GYX30RR5ew2snx1i5K/F6edU5c4W+0gTK+7F7FY3DZrNlV2oyUIVN2a8ZkZSPXZkDXkIISdGyjY/RYOv0QskVarnS0c3YJL93F4fXSdjQgghR8qURdTsd0XchmnWEh13OOSbfognxukbLyKm3hP61V1nhfqtjvUUVhuqLNw41AtWmvSOyagZQAghr4wI0K1tfgLmEeFpfll0QY65iRBCCLmPiOq3TPLH7Xnp5rF4/Qly+mljQNWhvo1x21zcJqxWxoWmdcvpWaKEkCNDmoiupHmN3fRzoavPuYcQQshDyF2N6ocXPiSQW8Gq3JsTv01j1nKybUWehvFyH2VETQsrzRNLg6Y5nrqaox6vz8mOn+CFJoQciDL6FBOGiTTeMq3zSSkW2ocAuDZ9/SNrDEYIIeSIkGTS+8PG1hDADJpuYZTkDsC6Oc8zA/Lx9XB5COdhvIQ3U5Jbp1o9n5L96dKcJy4EsKmGC9SEAZJalIcGDCHkQbhzJGWfT5aRFthxHWGZvGpSluNoXjEW8BNCCGnRJt04ZTNgls4xbZxjIQiT+/l5J8q9bj0R+SoR+biIfFpEflZEvtuP/4CI/O8i8tMi8udE5EsefbSvSu4wRVxSB7tofnx9abfcmZcz9/4lQBOxiYssTd0MIYQ8gBzGh3jk1qfd1AGry1qfJ8nOndLLxBwonG8IIYQAFjXZXAHX7wGb96rIy5Si7DXem/f8nCt3zjtx3gkbLsDDCvYHAB9W1Q8C+HoAf0BEPgjgYwB+i6r+VgA/B+APP94wX5OUG2tTzUjp1rZxiI1Ct/LCf4+qRPhtqeAAzL8IhBByFzG/oEkTy264dL1HV5I3rdwh704IIYSE+NSkHObiL2HAxPNj43gvoxswT2stuTdtTFU/B+Bzfv+LIvIZAF+hqj/WnPYTAH7f4wzxDdCGy5bNKe96zas8RwghS0LSPdJTbzSkZKE+IYSQOwiV3GUtpI61hrIsng8DpoxzFd4T56WqQUXkAwC+FsAnFk/9ewD+yi2v+S4R+aSIfPLzn//8Kw3yjRG5gfcZLoCf5018wqLFAw0fQghZEvNP2hGyzx1mtXixEGXW1+2Do1qnCCFkF1puBOdnjSl3SSTH/nUcn1T05cG7cBF5C8CPAvgeVf1Cc/z7YallP7Lrdar6Q6r6IVX90Pvf//7XHe/+iB4Nkza2AkgnKytHCDli2tTWEBXJ3ZPylB0zJ7tOEULOh12Oc/XG7BHNb5tTllJllIdr4Ood4Oo94MU7wIsv2ONhs8/f4I3xoJVRRHqY4fIjqvrR5vh3Avg9AH636hMy6YLkxkorqUzDhRDypoleVRGB4VxDCCGkJXcmGlVKU4MdEXp3tKfOW3ygSScLo6Y0NdueWbS5sofdau+/zutwr/EiIgLghwF8RlU/0hz/ZgDfC+CbVPW9xxvigZlCcoQQ8shwviGEELILEVPDHbeWBiYww2VSrBQgr8y4KU1zdgFupJNNDZOLRV9OLEX5IZGXbwDw7QB+RkQ+5ce+D8AfBbAG8DGzb/ATqvofPsYgCSGEEEIIOWtCgOq23ftSFvkh73eCiVMPURv7cex2Bf7lNz8cQgghhBBCyEtTXqYw32ssJQHD1tPSRnsqRKuONBrDalBCCCGEEEKeDHfJ70sVhoH/GDbAcGX9xkQsNS13R5tORs1fQgghhBBCTp3cNblSO4wO6RbGSLYoC1y1LHohRgPMI23KzsgLIYQQQgghp44kb8gOTwELCeXkzdp927+5AqB2XIuLXLpiWUgvq9p7pHyo3+ZWaLwQQgghhBBy6kRBf4r6FZdKzosG7SnV+paJVp3suKHxQgghhBBCyFMhJbvdRhTnRx8YwO63/WMAM4KOENa8EEIIIYQQci5Iapoie/pYpJepHzvSYn2AkRdCCCGEEELOh0gvy501tZwaJKsZLynN08yODBovhBBCCCGEnBuSgHy8RsptnN6ICSGEEEIIIWcJjRdCCCGEEELISUDjhRBCCCGEEHIS0HghhBBCCCGEnAQ0XgghhBBCCCEnAY0XQgghhBBCyElA44UQQgghhBByEtB4IYQQQgghhJwENF4IIYQQQgghJwGNF0IIIYQQQshJQOOFEEIIIYQQchKIqu7vw0Q+D+D/3PHUlwH45b0N5PXheB8Xjvdx4Xgfj1MZ6z+uqu8/9CCOEa5TB4PjfVw43seF433z3LpO7dV4uQ0R+aSqfujQ43goHO/jwvE+Lhzv43FKYyUvx6ldW473ceF4HxeO93E5tfEuYdoYIYQQQggh5CSg8UIIIYQQQgg5CY7FePmhQw/gJeF4HxeO93HheB+PUxoreTlO7dpyvI8Lx/u4cLyPy6mNd8ZR1LwQQgghhBBCyH0cS+SFEEIIIYQQQu7kIMaLiPwbIvKzIlJE5E61AxHJIvK/ichf2tf4dozh3vGKyFeJyMdF5NN+7nfve5zNWB709xWRbxaRvysivyAif2ifY1yM40tF5GMi8vP+81ffct5/4b/XZ0Tkj4qI7HusPo6HjverReTHfLyfFpEP7HmoMY4HjdfPfZ+IfFZE/tg+x7gYw73jFZHfJiJ/w78PPy0i/+aex3jn/x0RWYvIn/HnP3Goa09eHa5TjwvXqceF69TjwnXqsBwq8vJ3APzrAP6XB5z73QA+87jDuZeHjHcA8GFV/SCArwfwB0Tkg/sY3A7uHa+IZAD/FYB/GcAHAfzbBxzvHwLw11X1NwH46/54hoj8swC+AcBvBfBbAPx2AN+0z0E23Dte508B+AFV/c0Avg7AL+1pfEseOl4A+E/xsP+Xj8lDxvsegH9XVf8pAN8M4AdF5Ev2MbgH/t/59wH8f6r6GwH8EQD/+T7GRt4oXKceF65TjwvXqceF69QBOYjxoqqfUdW/e995IvKVAP4VAH/88Ud1Ow8Zr6p+TlV/yu9/EbaQfcU+xrdjLA/5+34dgF9Q1b+nqhsAfxrAtz7+6HbyrQD+pN//kwD+1R3nKIALACsAawA9gH+4j8Ht4N7x+iTRqerHAEBV31HV9/Y2wjkP+ftCRP4ZAF8O4Mf2M6xbuXe8qvpzqvrzfv//hi24+2q6+JD/O+3v8GcB/O5DeWDJq8F16nHhOvXocJ16XLhOHZBjr3n5QQDfC6AceBwvhYfevhbAJw48lLv4CgD/V/P4szjQIgbgy1X1c37//4FNTDNU9W8A+DiAz/ntr6rqoTyd944XwNcA+Eci8lFPJ/kB94QcgnvHKyIJwH8J4A/uc2C38JC/74SIfB1ss/B/PPbAnIf835nOUdUBwK8A+DV7GR3ZNz8IrlOPBdepV4fr1OPCdeqAdI/1xiLy1wD8uh1Pfb+q/oUHvP73APglVf1JEfmdb3h4uz7vtcbbvM9bAH4UwPeo6hfe1Ph2fM4bGe++uGu87QNVVRG5IYEnIr8RwG8G8JV+6GMi8o2q+r++8cHi9ccL+7/1jbDNwS8C+DMAvhPAD7/ZkRpvYLy/H8BfVtXP7sPx8gbGG+/z6wH8twC+Q1VPavNIDg/XKa5TLVynuE61cJ06Xh7NeFHVf+E13+IbAPxeEfkWWBj2fSLy36nqt73+6G7yBsYLEelhC8KPqOpHX39Ut/MGxvsPAHxV8/gr/dijcNd4ReQfisivV9XP+X/yXTm3/xqAn1DVd/w1fwXA7wDwKIvCGxjvZwF8SlX/nr/mz8NyzB9lUXgD4/0dAL5RRH4/gLcArETkHVV9lALZNzBeiMj7APyPsI3QTzzGOG/hIf934pzPikgH4FcB+H/3MzzyULhOcZ1q4TrFdeoNj5fr1CNxtGljqvqHVfUrVfUDAP4tAP/TYy0IbwLPE/xhAJ9R1Y8cejwP4G8B+E0i8htEZAX7G//FA43lLwL4Dr//HQB2eeR+EcA3iUjni+834XAFsg8Z798C8CUiEvmtvwvAp/cwtl3cO15V/XdU9av9/9sfBPCnHmtBeAD3jte/s38ONs4/u8exAQ/7v9P+Dr8PNn+xqdYTg+vUo8N16tXhOvW4cJ06JKq69xvMO/FZANewYra/6sf/MVhIcHn+7wTwlw4x1oeOF8A/ByvW+2kAn/LbtxzreP3xtwD4OVgO5vcf8O/7a2BqHT8P4K8B+FI//iEAf9zvZwD/NWwh+DSAjxzzeP3xv+jfh58B8N8AWB3zeJvzvxPAHzvmvy+AbwOwbf6vfQrAb9vjGG/83wHwnwD4vX7/AsD/AOAXAPxNAP/Eof6evL3yNeY6dQR/X65Tjzdef8x16vG+D1ynHukm/gsQQgghhBBCyFFztGljhBBCCCGEENJC44UQQgghhBByEtB4IYQQQgghhJwENF4IIYQQQgghJwGNF0IIIYQQQshJQOOFEEIIIYQQchLQeCGEEEIIIYScBDReCCGEEEIIISfB/w91yRYxVA4dpwAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -5418,104 +5339,201 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:53:45> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", - "2022-03-23 01:53:49> No settings provided. Creating from default settings.\n", - "2022-03-23 01:53:49> Couldn't find compiled exe. Using Python version for testing.\n", - "2022-03-23 01:53:49> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323015349.txt.\n", - "2022-03-23 01:53:49> Platform information:\n", - "2022-03-23 01:53:49> system - Windows\n", - "2022-03-23 01:53:49> release - 10\n", - "2022-03-23 01:53:49> version - 10.0.19044\n", - "2022-03-23 01:53:49> machine - AMD64\n", - "2022-03-23 01:53:49> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 01:53:49> cpu count - 24\n", - "2022-03-23 01:53:49> ram memory - 111.7/127.7 Gb (available/total)\n", - "2022-03-23 01:53:49> \n", - "2022-03-23 01:53:49> Python information:\n", - "2022-03-23 01:53:49> SQLAlchemy - 1.4.23\n", - "2022-03-23 01:53:49> alphapept - 0.4.3\n", - "2022-03-23 01:53:49> biopython - 1.78\n", - "2022-03-23 01:53:49> bumpversion - \n", - "2022-03-23 01:53:49> bumpversion> - \n", - "2022-03-23 01:53:49> click - 7.1.2\n", - "2022-03-23 01:53:49> click> - \n", - "2022-03-23 01:53:49> fastcore - 1.3.21\n", - "2022-03-23 01:53:49> h5py - 3.4.0\n", - "2022-03-23 01:53:49> jupyter - 1.0.0\n", - "2022-03-23 01:53:49> jupyter> - \n", - "2022-03-23 01:53:49> jupyter_contrib_nbextensions - \n", - "2022-03-23 01:53:49> jupyter_contrib_nbextensions> - \n", - "2022-03-23 01:53:49> matplotlib - 3.3.3\n", - "2022-03-23 01:53:49> nbdev - 1.1.23\n", - "2022-03-23 01:53:49> nbdev> - \n", - "2022-03-23 01:53:49> networkx - 2.6.3\n", - "2022-03-23 01:53:49> numba - 0.54.0\n", - "2022-03-23 01:53:49> numpy - 1.20.3\n", - "2022-03-23 01:53:49> pandas - 1.3.4\n", - "2022-03-23 01:53:49> plotly_express - 0.4.1\n", - "2022-03-23 01:53:49> psutil - 5.8.0\n", - "2022-03-23 01:53:49> pyinstaller - \n", - "2022-03-23 01:53:49> pyteomics - 4.4.2\n", - "2022-03-23 01:53:49> python - 3.8.12\n", - "2022-03-23 01:53:49> pythonnet - 2.5.2\n", - "2022-03-23 01:53:49> pywin32 - 225\n", - "2022-03-23 01:53:49> pyyaml - 5.4.1\n", - "2022-03-23 01:53:49> scikit-learn - 0.24.2\n", - "2022-03-23 01:53:49> scipy - 1.7.1\n", - "2022-03-23 01:53:49> streamlit - 1.2.0\n", - "2022-03-23 01:53:49> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 01:53:49> streamlit> - \n", - "2022-03-23 01:53:49> tables - 3.6.1\n", - "2022-03-23 01:53:49> tqdm - 4.56.0\n", - "2022-03-23 01:53:49> twine - \n", - "2022-03-23 01:53:49> twine> - \n", - "2022-03-23 01:53:49> watchdog - 2.1.5\n", - "2022-03-23 01:53:49> wget - 3.2\n", - "2022-03-23 01:53:49> \n", - "2022-03-23 01:53:49> Check for settings not completely implemented yet.\n", - "2022-03-23 01:53:49> Checking if files exist.\n", - "2022-03-23 01:53:49> FASTA Files have a total size of 21.95 Mb\n", - "2022-03-23 01:53:49> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 01:53:49> Shortnames not set. Setting to filename.\n", - "2022-03-23 01:53:49> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 01:53:49> Workflow has 11 steps\n", - "2022-03-23 01:53:49> ==== create_database ====\n", - "2022-03-23 01:53:49> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", - "2022-03-23 01:53:49> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", - "2022-03-23 01:53:49> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\arabidopsis.fasta with size 8.84 Mb.\n", - "2022-03-23 01:53:49> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", - "2022-03-23 01:53:49> Creating a new database from FASTA.\n" + "2022-03-27 01:58:05> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", + "2022-03-27 01:58:09> No settings provided. Creating from default settings.\n", + "2022-03-27 01:58:09> Couldn't find compiled exe. Using Python version for testing.\n", + "2022-03-27 01:58:09> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327015809.txt.\n", + "2022-03-27 01:58:09> Platform information:\n", + "2022-03-27 01:58:09> system - Windows\n", + "2022-03-27 01:58:09> release - 10\n", + "2022-03-27 01:58:09> version - 10.0.19044\n", + "2022-03-27 01:58:09> machine - AMD64\n", + "2022-03-27 01:58:09> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 01:58:09> cpu count - 24\n", + "2022-03-27 01:58:09> ram memory - 114.4/127.7 Gb (available/total)\n", + "2022-03-27 01:58:09> \n", + "2022-03-27 01:58:09> Python information:\n", + "2022-03-27 01:58:09> SQLAlchemy - 1.4.23\n", + "2022-03-27 01:58:09> alphapept - 0.4.4\n", + "2022-03-27 01:58:09> biopython - 1.78\n", + "2022-03-27 01:58:09> bumpversion - \n", + "2022-03-27 01:58:09> bumpversion> - \n", + "2022-03-27 01:58:09> click - 7.1.2\n", + "2022-03-27 01:58:09> click> - \n", + "2022-03-27 01:58:09> fastcore - 1.3.21\n", + "2022-03-27 01:58:09> h5py - 3.4.0\n", + "2022-03-27 01:58:09> jupyter - 1.0.0\n", + "2022-03-27 01:58:09> jupyter> - \n", + "2022-03-27 01:58:09> jupyter_contrib_nbextensions - \n", + "2022-03-27 01:58:09> jupyter_contrib_nbextensions> - \n", + "2022-03-27 01:58:09> matplotlib - 3.3.3\n", + "2022-03-27 01:58:09> nbdev - 1.1.23\n", + "2022-03-27 01:58:09> nbdev> - \n", + "2022-03-27 01:58:09> networkx - 2.6.3\n", + "2022-03-27 01:58:09> numba - 0.54.0\n", + "2022-03-27 01:58:09> numpy - 1.20.3\n", + "2022-03-27 01:58:09> pandas - 1.3.4\n", + "2022-03-27 01:58:09> plotly_express - 0.4.1\n", + "2022-03-27 01:58:09> psutil - 5.8.0\n", + "2022-03-27 01:58:09> pyinstaller - \n", + "2022-03-27 01:58:09> pyteomics - 4.4.2\n", + "2022-03-27 01:58:09> python - 3.8.12\n", + "2022-03-27 01:58:09> pythonnet - 2.5.2\n", + "2022-03-27 01:58:09> pywin32 - 225\n", + "2022-03-27 01:58:09> pyyaml - 5.4.1\n", + "2022-03-27 01:58:09> scikit-learn - 0.24.2\n", + "2022-03-27 01:58:09> scipy - 1.7.1\n", + "2022-03-27 01:58:09> streamlit - 1.2.0\n", + "2022-03-27 01:58:09> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 01:58:09> streamlit> - \n", + "2022-03-27 01:58:09> tables - 3.6.1\n", + "2022-03-27 01:58:09> tqdm - 4.56.0\n", + "2022-03-27 01:58:09> twine - \n", + "2022-03-27 01:58:09> twine> - \n", + "2022-03-27 01:58:09> watchdog - 2.1.5\n", + "2022-03-27 01:58:09> wget - 3.2\n", + "2022-03-27 01:58:09> \n", + "2022-03-27 01:58:09> Check for settings not completely implemented yet.\n", + "2022-03-27 01:58:09> Checking if files exist.\n", + "2022-03-27 01:58:09> FASTA Files have a total size of 21.952 Mb\n", + "2022-03-27 01:58:09> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 01:58:09> Shortnames not set. Setting to filename.\n", + "2022-03-27 01:58:09> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 01:58:09> Workflow has 11 steps\n", + "2022-03-27 01:58:09> ==== create_database ====\n", + "2022-03-27 01:58:09> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", + "2022-03-27 01:58:09> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", + "2022-03-27 01:58:09> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\arabidopsis.fasta with size 8.84 Mb.\n", + "2022-03-27 01:58:09> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", + "2022-03-27 01:58:09> Creating a new database from FASTA.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 0%| | 0/1 [00:00 FASTA contains 36,789 entries.\n" + "2022-03-27 01:58:11> FASTA contains 36,789 entries.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [02:16<00:00, 44.13s/it]" + "\n", + "\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [12:55<00:00, 775.80s/it]\u001b[A\u001b[A\n", + " 0%| | 0/1 [09:16 Digested 36,789 proteins and generated 8,624,766 spectra\n", - "2022-03-23 01:57:42> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 3.32 GB\n", - "2022-03-23 01:57:56> ==== import_raw_data ====\n" + "2022-03-27 03:00:41> Digested 36,789 proteins and generated 8,624,766 spectra\n", + "2022-03-27 03:02:00> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 3.32 GB\n", + "2022-03-27 03:02:15> ==== import_raw_data ====\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r", + " 0%| | 0/1 [00:00 Processing 1 files for step raw_conversion\n", + "2022-03-27 03:02:15> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa has extension .d - converting from Bruker.\n", + "2022-03-27 03:26:46> File conversion complete. Extracted 299,728 precursors.\n", + "2022-03-27 03:26:48> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d complete.\n", + "2022-03-27 03:26:48> ==== feature_finding ====\n" ] }, { @@ -5530,56 +5548,48 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 01:57:56> Processing 1 files for step raw_conversion\n", - "2022-03-23 01:57:56> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa has extension .d - converting from Bruker.\n", - "2022-03-23 02:23:18> File conversion complete. Extracted 299,728 precursors.\n", - "2022-03-23 02:23:20> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d complete.\n", - "2022-03-23 02:23:20> ==== feature_finding ====\n" + "2022-03-27 03:26:48> Processing 1 files for step find_features\n", + "2022-03-27 03:26:48> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf. Adding to feature finding list.\n", + "2022-03-27 03:26:49> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d\n", + "2022-03-27 03:26:49> Using Windows FF\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n", - "\n", - " 0%| | 0/1 [00:00 Processing 1 files for step find_features\n", - "2022-03-23 02:23:20> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf. Adding to feature finding list.\n", - "2022-03-23 02:23:21> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d\n", - "2022-03-23 02:23:21> Using Windows FF\n", - "2022-03-23 02:23:26> Bruker featurer finder complete. Extracted 261,932 features.\n", - "2022-03-23 02:23:26> Matching features to query data.\n", - "2022-03-23 02:23:32> Saving feature table.\n", - "2022-03-23 02:23:32> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf\n", - "2022-03-23 02:23:32> Saving features.\n", - "2022-03-23 02:23:32> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d complete.\n", - "2022-03-23 02:23:32> ==== search_data ====\n" + "2022-03-27 03:26:55> Bruker featurer finder complete. Extracted 261,932 features.\n", + "2022-03-27 03:26:55> Matching features to query data.\n", + "2022-03-27 03:27:00> Saving feature table.\n", + "2022-03-27 03:27:01> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf\n", + "2022-03-27 03:27:01> Saving features.\n", + "2022-03-27 03:27:01> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d complete.\n", + "2022-03-27 03:27:01> ==== search_data ====\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n", - "\n", - "\n", - " 0%| | 0/1 [00:00 Starting first search.\n", - "2022-03-23 02:23:32> Processing 1 files for step search_db\n", - "2022-03-23 02:23:33> Calibrating fragments\n" + "2022-03-27 03:27:01> Starting first search.\n", + "2022-03-27 03:27:01> Processing 1 files for step search_db\n", + "2022-03-27 03:27:01> Calibrating fragments\n" ] }, { @@ -5596,60 +5606,58 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 02:23:57> Performing search on 664,992 query and 8,624,766 db entries with frag_tol = 30.00 and prec_tol = 30.00.\n", - "2022-03-23 02:24:40> Found 672,625 psms.\n", - "2022-03-23 02:24:40> Extracting columns for scoring.\n" + "2022-03-27 03:27:23> Performing search on 664,992 query and 8,624,766 db entries with frag_tol = 30.00 and prec_tol = 30.00.\n", + "2022-03-27 03:28:06> Found 672,625 psms.\n", + "2022-03-27 03:28:06> Extracting columns for scoring.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████| 1.0/1 [31:18<00:00, 1878.86s/it]\n", - " 0%| | 0/1 [27:11 Extracted columns from 672,625 spectra.\n", - "2022-03-23 02:26:24> Saving first_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf\n", - "2022-03-23 02:26:29> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d complete.\n", - "2022-03-23 02:26:56> First search complete.\n", - "2022-03-23 02:26:57> ==== recalibrate_data ====\n" + "2022-03-27 03:29:50> Extracted columns from 672,625 spectra.\n", + "2022-03-27 03:29:52> Saving first_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf\n", + "2022-03-27 03:29:56> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d complete.\n", + "2022-03-27 03:30:24> First search complete.\n", + "2022-03-27 03:30:24> ==== recalibrate_data ====\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 0%| | 0/1 [00:00 Processing 1 files for step calibrate_hdf\n", - "2022-03-23 02:26:57> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d.\n", - "2022-03-23 02:26:58> Scoring using X-Tandem\n", - "2022-03-23 02:27:00> 58,709 target (587 decoy) of 163415 PSMs. fdr 0.009998 for a cutoff of 19.43 (set fdr was 0.01)\n", - "2022-03-23 02:27:00> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d.\n", - "2022-03-23 02:27:08> Precursor calibration std 2.64, 1.75\n", - "2022-03-23 02:27:08> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf complete.\n", - "2022-03-23 02:27:08> Starting fragment calibration.\n", - "2022-03-23 02:27:08> Calibrating fragments with neighbors\n", - "2022-03-23 02:27:09> Scoring using X-Tandem\n", - "2022-03-23 02:27:11> 58,709 target (587 decoy) of 163415 PSMs. fdr 0.009998 for a cutoff of 19.43 (set fdr was 0.01)\n", - "2022-03-23 02:27:13> Minimum hits for fragments before score 7.00.\n", - "2022-03-23 02:27:13> Minimum hits for fragments after score 7.00.\n", - "2022-03-23 02:29:50> Median offset (std) 8.58 (12.00) - after calibration 0.00 (10.90) Mad offset 5.06\n", - "2022-03-23 02:29:50> Saving calibration\n", - "2022-03-23 02:32:18> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf complete.\n", - "2022-03-23 02:32:18> ==== search_data ====\n" + "2022-03-27 03:30:24> Processing 1 files for step calibrate_hdf\n", + "2022-03-27 03:30:24> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d.\n", + "2022-03-27 03:30:25> Scoring using X-Tandem\n", + "2022-03-27 03:30:27> 58,709 target (587 decoy) of 163415 PSMs. fdr 0.009998 for a cutoff of 19.43 (set fdr was 0.01)\n", + "2022-03-27 03:30:27> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d.\n", + "2022-03-27 03:30:34> Precursor calibration std 2.64, 1.75\n", + "2022-03-27 03:30:34> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf complete.\n", + "2022-03-27 03:30:34> Starting fragment calibration.\n", + "2022-03-27 03:30:34> Calibrating fragments with neighbors\n", + "2022-03-27 03:30:36> Scoring using X-Tandem\n", + "2022-03-27 03:30:38> 58,709 target (587 decoy) of 163415 PSMs. fdr 0.009998 for a cutoff of 19.43 (set fdr was 0.01)\n", + "2022-03-27 03:30:39> Minimum hits for fragments before score 7.00.\n", + "2022-03-27 03:30:39> Minimum hits for fragments after score 7.00.\n", + "2022-03-27 03:33:12> Median offset (std) 8.58 (12.00) - after calibration 0.00 (10.90) Mad offset 5.06\n", + "2022-03-27 03:33:12> Saving calibration\n", + "2022-03-27 03:35:39> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf complete.\n", + "2022-03-27 03:35:39> ==== search_data ====\n" ] }, { @@ -5657,39 +5665,40 @@ "output_type": "stream", "text": [ "\n", - " 0%| | 0/1 [00:00 Starting second search with DB.\n", - "2022-03-23 02:32:18> Processing 1 files for step search_db\n", - "2022-03-23 02:32:18> Found calibrated prec_tol with value 13.20\n", - "2022-03-23 02:32:18> Found calibrated frag_tol with value 54.51\n", - "2022-03-23 02:32:21> Performing search on 664,992 query and 8,624,766 db entries with frag_tol = 54.51 and prec_tol = 13.20.\n", - "2022-03-23 02:32:45> Found 1,330,657 psms.\n", - "2022-03-23 02:32:46> Extracting columns for scoring.\n" + "2022-03-27 03:35:39> Starting second search with DB.\n", + "2022-03-27 03:35:39> Processing 1 files for step search_db\n", + "2022-03-27 03:35:39> Found calibrated prec_tol with value 13.20\n", + "2022-03-27 03:35:39> Found calibrated frag_tol with value 54.51\n", + "2022-03-27 03:35:43> Performing search on 664,992 query and 8,624,766 db entries with frag_tol = 54.51 and prec_tol = 13.20.\n", + "2022-03-27 03:36:07> Found 1,330,657 psms.\n", + "2022-03-27 03:36:07> Extracting columns for scoring.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [09:56 Extracted columns from 1,330,657 spectra.\n", - "2022-03-23 02:35:39> Saving second_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf\n", - "2022-03-23 02:35:48> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d complete.\n", - "2022-03-23 02:36:13> Second search complete.\n", - "2022-03-23 02:36:14> ==== score ====\n" + "2022-03-27 03:38:55> Extracted columns from 1,330,657 spectra.\n", + "2022-03-27 03:38:59> Saving second_search results to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.ms_data.hdf\n", + "2022-03-27 03:39:08> Search of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\bruker_HeLa.d complete.\n", + "2022-03-27 03:39:34> Second search complete.\n", + "2022-03-27 03:39:34> ==== score ====\n" ] }, { @@ -5704,30 +5713,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 02:36:14> Processing 1 files for step score_hdf\n", - "2022-03-23 02:36:14> Calling score_hdf\n", - "2022-03-23 02:36:16> Found second search psms for scoring.\n", - "2022-03-23 02:36:39> 71,576 target (7,157 decoy) of 248722 PSMs. fdr 0.099992 for a cutoff of 18.37 (set fdr was 0.1)\n", - "2022-03-23 02:36:39> Training & cross-validation on 15635 targets and 15635 decoys\n", - "2022-03-23 02:37:02> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 200}\n", - "2022-03-23 02:37:03> The train accuracy was 0.9566357531180045\n", - "2022-03-23 02:37:03> Testing on 62542 targets and 62542 decoys\n", - "2022-03-23 02:37:04> The test accuracy was 0.9415352882862716\n", - "2022-03-23 02:37:04> Top features {'x_tandem': 0.25483063393188293, 'hits': 0.18966578712542223, 'hits_y': 0.16079000604697985, 'n_fragments_matched': 0.09756366665105837, 'fragments_matched_n_ratio': 0.08032145114316737, 'fragments_matched_int_ratio': 0.05367379541951329, 'hits_b': 0.02726306369500843, 'n_missed': 0.020841703159902303, 'fragments_matched_int_sum': 0.013208745354639173, 'prec_offset': 0.012482845507102026, 'prec_offset_ppm': 0.010538019958805277, 'delta_m_ppm_abs': 0.008942272348970352, 'fragments_int_ratio': 0.006738173142622879, 'fragments_int_sum': 0.0060803354506552875, 'ms1_int_sum': 0.005932584580267512, 'delta_m_ppm': 0.0056222199305164125, 'prec_offset_raw': 0.0052201491480210515, 'hits_b-H2O': 0.005054617454367855, 'prec_offset_raw_ppm': 0.0036711387007851946, 'mass_db': 0.0033599004169243617, 'hits_y-NH3': 0.0028421199381815855, 'mass': 0.002817469601457323, 'mobility': 0.0027194564935630826, 'delta_m': 0.002466690386835373, 'mz': 0.0024003065667092985, 'n_AA': 0.002005843370875832, 'feature_id': 0.0019325920098334213, 'parent': 0.001746346509197243, 'rt_end': 0.0015989249851804338, 'rt_apex': 0.0015965684378124465, 'rt_start': 0.001574246559991359, 'rt': 0.001531045826331712, 'hits_b-NH3': 0.0013729742213870499, 'hits_y-H2O': 0.0009485913388038352, 'charge': 0.0006358331889058683, 'n_internal': 9.881398321994633e-06, 'localexp': 0.0}\n", - "2022-03-23 02:37:15> 144,430 target (1,444 decoy) of 385231 PSMs. fdr 0.009998 for a cutoff of 0.84 (set fdr was 0.01)\n", - "2022-03-23 02:37:15> Saving identifications to ms_data file.\n", - "2022-03-23 02:37:16> Saving identifications to ms_data file complete.\n", - "2022-03-23 02:37:28> Saving identifications to csv file complete.\n", - "2022-03-23 02:37:28> Filter df with custom score\n", - "2022-03-23 02:37:30> Global FDR on precursor\n", - "2022-03-23 02:37:31> 64,395 target (643 decoy) of 243443 PSMs. fdr 0.009985 for a cutoff of 0.89 (set fdr was 0.01)\n", - "2022-03-23 02:37:31> Global FDR cutoff at 0.8932199175818623.\n", - "2022-03-23 02:37:32> FDR on peptides complete. For 0.01 FDR found 64,395 targets and 643 decoys.\n", - "2022-03-23 02:37:32> Extracting fragment_ions\n", - "2022-03-23 02:37:53> Extracting fragment_ions complete.\n", - "2022-03-23 02:37:54> Scoring of files [] complete.\n", - "2022-03-23 02:37:55> ==== isobaric_labeling ====\n", - "2022-03-23 02:37:55> ==== protein_grouping ====\n" + "2022-03-27 03:39:34> Processing 1 files for step score_hdf\n", + "2022-03-27 03:39:34> Calling score_hdf\n", + "2022-03-27 03:39:36> Found second search psms for scoring.\n", + "2022-03-27 03:39:59> 71,576 target (7,157 decoy) of 248722 PSMs. fdr 0.099992 for a cutoff of 18.37 (set fdr was 0.1)\n", + "2022-03-27 03:39:59> Training & cross-validation on 15635 targets and 15635 decoys\n", + "2022-03-27 03:40:22> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 200}\n", + "2022-03-27 03:40:22> The train accuracy was 0.9566357531180045\n", + "2022-03-27 03:40:22> Testing on 62542 targets and 62542 decoys\n", + "2022-03-27 03:40:23> The test accuracy was 0.9415352882862716\n", + "2022-03-27 03:40:23> Top features {'x_tandem': 0.25483063393188293, 'hits': 0.18966578712542223, 'hits_y': 0.16079000604697985, 'n_fragments_matched': 0.09756366665105837, 'fragments_matched_n_ratio': 0.08032145114316737, 'fragments_matched_int_ratio': 0.05367379541951329, 'hits_b': 0.02726306369500843, 'n_missed': 0.020841703159902303, 'fragments_matched_int_sum': 0.013208745354639173, 'prec_offset': 0.012482845507102026, 'prec_offset_ppm': 0.010538019958805277, 'delta_m_ppm_abs': 0.008942272348970352, 'fragments_int_ratio': 0.006738173142622879, 'fragments_int_sum': 0.0060803354506552875, 'ms1_int_sum': 0.005932584580267512, 'delta_m_ppm': 0.0056222199305164125, 'prec_offset_raw': 0.0052201491480210515, 'hits_b-H2O': 0.005054617454367855, 'prec_offset_raw_ppm': 0.0036711387007851946, 'mass_db': 0.0033599004169243617, 'hits_y-NH3': 0.0028421199381815855, 'mass': 0.002817469601457323, 'mobility': 0.0027194564935630826, 'delta_m': 0.002466690386835373, 'mz': 0.0024003065667092985, 'n_AA': 0.002005843370875832, 'feature_id': 0.0019325920098334213, 'parent': 0.001746346509197243, 'rt_end': 0.0015989249851804338, 'rt_apex': 0.0015965684378124465, 'rt_start': 0.001574246559991359, 'rt': 0.001531045826331712, 'hits_b-NH3': 0.0013729742213870499, 'hits_y-H2O': 0.0009485913388038352, 'charge': 0.0006358331889058683, 'n_internal': 9.881398321994633e-06, 'localexp': 0.0}\n", + "2022-03-27 03:40:34> 144,430 target (1,444 decoy) of 385231 PSMs. fdr 0.009998 for a cutoff of 0.84 (set fdr was 0.01)\n", + "2022-03-27 03:40:35> Saving identifications to ms_data file.\n", + "2022-03-27 03:40:36> Saving identifications to ms_data file complete.\n", + "2022-03-27 03:40:47> Saving identifications to csv file complete.\n", + "2022-03-27 03:40:47> Filter df with custom score\n", + "2022-03-27 03:40:50> Global FDR on precursor\n", + "2022-03-27 03:40:51> 64,395 target (643 decoy) of 243443 PSMs. fdr 0.009985 for a cutoff of 0.89 (set fdr was 0.01)\n", + "2022-03-27 03:40:51> Global FDR cutoff at 0.8932199175818623.\n", + "2022-03-27 03:40:52> FDR on peptides complete. For 0.01 FDR found 64,395 targets and 643 decoys.\n", + "2022-03-27 03:40:52> Extracting fragment_ions\n", + "2022-03-27 03:41:13> Extracting fragment_ions complete.\n", + "2022-03-27 03:41:14> Scoring of files [] complete.\n", + "2022-03-27 03:41:14> ==== isobaric_labeling ====\n", + "2022-03-27 03:41:14> ==== protein_grouping ====\n" ] }, { @@ -5735,16 +5744,15 @@ "output_type": "stream", "text": [ "\n", - "\n", - " 0%| | 0/1 [00:00 Fasta dict with length 36,789, Pept dict with length 8,624,772\n", - "2022-03-23 02:37:55> Extracting protein groups.\n" + "2022-03-27 03:41:14> Fasta dict with length 36,789, Pept dict with length 8,624,772\n", + "2022-03-27 03:41:14> Extracting protein groups.\n" ] }, { @@ -5761,7 +5769,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 02:37:55> A total of 53,277 unique and 2,929 shared peptides.\n" + "2022-03-27 03:41:15> A total of 53,277 unique and 2,929 shared peptides.\n" ] }, { @@ -5775,17 +5783,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 02:37:57> A total of 805 ambigious proteins\n", - "2022-03-23 02:37:57> A total of 614 unique and 29 shared peptides.\n", - "2022-03-23 02:37:57> A total of 29 ambigious proteins\n", - "2022-03-23 02:37:57> Global FDR on protein_group\n", - "2022-03-23 02:37:58> 6,401 target (64 decoy) of 7871 PSMs. fdr 0.009998 for a cutoff of 0.98 (set fdr was 0.01)\n", - "2022-03-23 02:37:58> Global FDR cutoff at 0.980184389009106.\n", - "2022-03-23 02:37:58> FDR on proteins complete. For 0.01 FDR found 63,522 targets and 68 decoys. A total of 6,465 proteins found.\n", - "2022-03-23 02:37:58> Saving complete.\n", - "2022-03-23 02:37:58> Protein groups complete.\n", - "2022-03-23 02:37:58> ==== quantification ====\n", - "2022-03-23 02:37:58> Reading protein_fdr for quantification.\n" + "2022-03-27 03:41:16> A total of 805 ambigious proteins\n", + "2022-03-27 03:41:17> A total of 614 unique and 29 shared peptides.\n", + "2022-03-27 03:41:17> A total of 29 ambigious proteins\n", + "2022-03-27 03:41:17> Global FDR on protein_group\n", + "2022-03-27 03:41:17> 6,401 target (64 decoy) of 7871 PSMs. fdr 0.009998 for a cutoff of 0.98 (set fdr was 0.01)\n", + "2022-03-27 03:41:17> Global FDR cutoff at 0.980184389009106.\n", + "2022-03-27 03:41:18> FDR on proteins complete. For 0.01 FDR found 63,522 targets and 68 decoys. A total of 6,465 proteins found.\n", + "2022-03-27 03:41:18> Saving complete.\n", + "2022-03-27 03:41:18> Protein groups complete.\n", + "2022-03-27 03:41:18> ==== quantification ====\n", + "2022-03-27 03:41:18> Reading protein_fdr for quantification.\n" ] }, { @@ -5806,9 +5814,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 02:37:59> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", - "2022-03-23 02:37:59> Complete.\n", - "2022-03-23 02:37:59> Starting profile extraction.\n" + "2022-03-27 03:41:18> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", + "2022-03-27 03:41:18> Complete.\n", + "2022-03-27 03:41:18> Starting profile extraction.\n" ] }, { @@ -5816,25 +5824,23 @@ "output_type": "stream", "text": [ "\n", - "\n", - " 0%| | 0/1 [00:00 LFQ complete.\n", - "2022-03-23 02:37:59> Extracting protein_summary\n", - "2022-03-23 02:37:59> Saved protein_summary of length 6,465 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 02:37:59> Updating protein_fdr.\n", - "2022-03-23 02:37:59> Exporting as csv.\n", - "2022-03-23 02:38:02> Saved df of length 63,590 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 02:38:02> ==== export ====\n", - "2022-03-23 02:38:08> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", - "2022-03-23 02:38:08> Analysis complete.\n" + "2022-03-27 03:41:18> LFQ complete.\n", + "2022-03-27 03:41:19> Extracting protein_summary\n", + "2022-03-27 03:41:19> Saved protein_summary of length 6,465 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 03:41:19> Updating protein_fdr.\n", + "2022-03-27 03:41:19> Exporting as csv.\n", + "2022-03-27 03:41:21> Saved df of length 63,590 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 03:41:21> ==== export ====\n", + "2022-03-27 03:41:27> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 03:41:27> Analysis complete.\n" ] }, { @@ -5853,7 +5859,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [01:22<00:00, 82.09s/it]\n" + "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [01:23<00:00, 83.50s/it]\n" ] } ], @@ -5872,7 +5878,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_1436/3550195270.py:3: DtypeWarning: Columns (12,13) have mixed types.Specify dtype option on import or set low_memory=False.\n", + "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_22996/3550195270.py:3: DtypeWarning: Columns (12,13) have mixed types.Specify dtype option on import or set low_memory=False.\n", " df1, df2 = prepare_files(os.path.join(TEST_DIR, \"results.hdf\"), os.path.join(tmp_folder,'bruker_HeLa_evd.txt'))\n" ] }, @@ -5944,7 +5950,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -6000,73 +6006,73 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 02:39:26> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", - "2022-03-23 02:41:36> No settings provided. Creating from default settings.\n", - "2022-03-23 02:41:36> Couldn't find compiled exe. Using Python version for testing.\n", - "2022-03-23 02:41:36> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323024136.txt.\n", - "2022-03-23 02:41:36> Platform information:\n", - "2022-03-23 02:41:36> system - Windows\n", - "2022-03-23 02:41:36> release - 10\n", - "2022-03-23 02:41:36> version - 10.0.19044\n", - "2022-03-23 02:41:36> machine - AMD64\n", - "2022-03-23 02:41:36> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 02:41:36> cpu count - 24\n", - "2022-03-23 02:41:36> ram memory - 109.6/127.7 Gb (available/total)\n", - "2022-03-23 02:41:36> \n", - "2022-03-23 02:41:36> Python information:\n", - "2022-03-23 02:41:36> SQLAlchemy - 1.4.23\n", - "2022-03-23 02:41:36> alphapept - 0.4.3\n", - "2022-03-23 02:41:36> biopython - 1.78\n", - "2022-03-23 02:41:36> bumpversion - \n", - "2022-03-23 02:41:36> bumpversion> - \n", - "2022-03-23 02:41:36> click - 7.1.2\n", - "2022-03-23 02:41:36> click> - \n", - "2022-03-23 02:41:36> fastcore - 1.3.21\n", - "2022-03-23 02:41:36> h5py - 3.4.0\n", - "2022-03-23 02:41:36> jupyter - 1.0.0\n", - "2022-03-23 02:41:36> jupyter> - \n", - "2022-03-23 02:41:36> jupyter_contrib_nbextensions - \n", - "2022-03-23 02:41:36> jupyter_contrib_nbextensions> - \n", - "2022-03-23 02:41:36> matplotlib - 3.3.3\n", - "2022-03-23 02:41:36> nbdev - 1.1.23\n", - "2022-03-23 02:41:36> nbdev> - \n", - "2022-03-23 02:41:36> networkx - 2.6.3\n", - "2022-03-23 02:41:36> numba - 0.54.0\n", - "2022-03-23 02:41:36> numpy - 1.20.3\n", - "2022-03-23 02:41:36> pandas - 1.3.4\n", - "2022-03-23 02:41:36> plotly_express - 0.4.1\n", - "2022-03-23 02:41:36> psutil - 5.8.0\n", - "2022-03-23 02:41:36> pyinstaller - \n", - "2022-03-23 02:41:36> pyteomics - 4.4.2\n", - "2022-03-23 02:41:36> python - 3.8.12\n", - "2022-03-23 02:41:36> pythonnet - 2.5.2\n", - "2022-03-23 02:41:36> pywin32 - 225\n", - "2022-03-23 02:41:36> pyyaml - 5.4.1\n", - "2022-03-23 02:41:36> scikit-learn - 0.24.2\n", - "2022-03-23 02:41:36> scipy - 1.7.1\n", - "2022-03-23 02:41:36> streamlit - 1.2.0\n", - "2022-03-23 02:41:36> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 02:41:36> streamlit> - \n", - "2022-03-23 02:41:36> tables - 3.6.1\n", - "2022-03-23 02:41:36> tqdm - 4.56.0\n", - "2022-03-23 02:41:36> twine - \n", - "2022-03-23 02:41:36> twine> - \n", - "2022-03-23 02:41:36> watchdog - 2.1.5\n", - "2022-03-23 02:41:36> wget - 3.2\n", - "2022-03-23 02:41:36> \n", - "2022-03-23 02:41:36> Check for settings not completely implemented yet.\n", - "2022-03-23 02:41:36> Checking if files exist.\n", - "2022-03-23 02:41:36> FASTA Files have a total size of 22.75 Mb\n", - "2022-03-23 02:41:36> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 02:41:36> Shortnames not set. Setting to filename.\n", - "2022-03-23 02:41:36> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 02:41:36> Workflow has 11 steps\n", - "2022-03-23 02:41:36> ==== create_database ====\n", - "2022-03-23 02:41:36> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", - "2022-03-23 02:41:36> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", - "2022-03-23 02:41:36> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\e_coli.fasta with size 9.64 Mb.\n", - "2022-03-23 02:41:36> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", - "2022-03-23 02:41:36> Creating a new database from FASTA.\n" + "2022-03-27 03:42:47> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", + "2022-03-27 03:44:57> No settings provided. Creating from default settings.\n", + "2022-03-27 03:44:57> Couldn't find compiled exe. Using Python version for testing.\n", + "2022-03-27 03:44:57> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327034457.txt.\n", + "2022-03-27 03:44:57> Platform information:\n", + "2022-03-27 03:44:57> system - Windows\n", + "2022-03-27 03:44:57> release - 10\n", + "2022-03-27 03:44:57> version - 10.0.19044\n", + "2022-03-27 03:44:57> machine - AMD64\n", + "2022-03-27 03:44:57> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 03:44:57> cpu count - 24\n", + "2022-03-27 03:44:57> ram memory - 110.8/127.7 Gb (available/total)\n", + "2022-03-27 03:44:57> \n", + "2022-03-27 03:44:57> Python information:\n", + "2022-03-27 03:44:57> SQLAlchemy - 1.4.23\n", + "2022-03-27 03:44:57> alphapept - 0.4.4\n", + "2022-03-27 03:44:57> biopython - 1.78\n", + "2022-03-27 03:44:57> bumpversion - \n", + "2022-03-27 03:44:57> bumpversion> - \n", + "2022-03-27 03:44:57> click - 7.1.2\n", + "2022-03-27 03:44:57> click> - \n", + "2022-03-27 03:44:57> fastcore - 1.3.21\n", + "2022-03-27 03:44:57> h5py - 3.4.0\n", + "2022-03-27 03:44:57> jupyter - 1.0.0\n", + "2022-03-27 03:44:57> jupyter> - \n", + "2022-03-27 03:44:57> jupyter_contrib_nbextensions - \n", + "2022-03-27 03:44:57> jupyter_contrib_nbextensions> - \n", + "2022-03-27 03:44:57> matplotlib - 3.3.3\n", + "2022-03-27 03:44:57> nbdev - 1.1.23\n", + "2022-03-27 03:44:57> nbdev> - \n", + "2022-03-27 03:44:57> networkx - 2.6.3\n", + "2022-03-27 03:44:57> numba - 0.54.0\n", + "2022-03-27 03:44:57> numpy - 1.20.3\n", + "2022-03-27 03:44:57> pandas - 1.3.4\n", + "2022-03-27 03:44:57> plotly_express - 0.4.1\n", + "2022-03-27 03:44:57> psutil - 5.8.0\n", + "2022-03-27 03:44:57> pyinstaller - \n", + "2022-03-27 03:44:57> pyteomics - 4.4.2\n", + "2022-03-27 03:44:57> python - 3.8.12\n", + "2022-03-27 03:44:57> pythonnet - 2.5.2\n", + "2022-03-27 03:44:57> pywin32 - 225\n", + "2022-03-27 03:44:57> pyyaml - 5.4.1\n", + "2022-03-27 03:44:57> scikit-learn - 0.24.2\n", + "2022-03-27 03:44:57> scipy - 1.7.1\n", + "2022-03-27 03:44:57> streamlit - 1.2.0\n", + "2022-03-27 03:44:57> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 03:44:57> streamlit> - \n", + "2022-03-27 03:44:57> tables - 3.6.1\n", + "2022-03-27 03:44:57> tqdm - 4.56.0\n", + "2022-03-27 03:44:57> twine - \n", + "2022-03-27 03:44:57> twine> - \n", + "2022-03-27 03:44:57> watchdog - 2.1.5\n", + "2022-03-27 03:44:57> wget - 3.2\n", + "2022-03-27 03:44:57> \n", + "2022-03-27 03:44:57> Check for settings not completely implemented yet.\n", + "2022-03-27 03:44:57> Checking if files exist.\n", + "2022-03-27 03:44:57> FASTA Files have a total size of 22.754 Mb\n", + "2022-03-27 03:44:57> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 03:44:57> Shortnames not set. Setting to filename.\n", + "2022-03-27 03:44:57> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 03:44:57> Workflow has 11 steps\n", + "2022-03-27 03:44:57> ==== create_database ====\n", + "2022-03-27 03:44:57> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", + "2022-03-27 03:44:57> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\human.fasta with size 12.97 Mb.\n", + "2022-03-27 03:44:57> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\e_coli.fasta with size 9.64 Mb.\n", + "2022-03-27 03:44:57> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", + "2022-03-27 03:44:57> Creating a new database from FASTA.\n" ] }, { @@ -6074,15 +6080,14 @@ "output_type": "stream", "text": [ "\n", - "\n", - " 0%| | 0/1 [00:00 FASTA contains 43,752 entries.\n" + "2022-03-27 03:44:58> FASTA contains 43,752 entries.\n" ] }, { @@ -6090,104 +6095,62 @@ "output_type": "stream", "text": [ "\n", + " 2%|█▍ | 0.022727272727272728/1 [01:03<45:09, 2772.91s/it]\u001b[A\n", + " 5%|██▊ | 0.045454545454545456/1 [01:03<18:19, 1151.62s/it]\u001b[A\n", + " 7%|████▍ | 0.06818181818181818/1 [01:05<10:26, 671.87s/it]\u001b[A\n", + " 9%|█████▉ | 0.09090909090909091/1 [01:14<08:26, 557.49s/it]\u001b[A\n", + " 11%|███████▍ | 0.11363636363636363/1 [01:28<08:40, 586.82s/it]\u001b[A\n", + " 14%|████████▊ | 0.13636363636363635/1 [01:30<05:53, 409.76s/it]\u001b[A\n", + " 16%|██████████▌ | 0.1590909090909091/1 [01:31<04:09, 296.52s/it]\u001b[A\n", + " 18%|███████████▊ | 0.18181818181818182/1 [01:33<03:03, 223.72s/it]\u001b[A\n", + " 20%|█████████████▎ | 0.20454545454545456/1 [01:34<02:15, 170.39s/it]\u001b[A\n", + " 23%|██████████████▊ | 0.22727272727272727/1 [01:35<01:42, 133.14s/it]\u001b[A\n", + " 25%|████████████████████ | 0.25/1 [01:36<01:20, 107.09s/it]\u001b[A\n", + " 0%| | 0/1 [10:57 Digested 43,752 proteins and generated 5,835,394 spectra\n", - "2022-03-23 02:44:51> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 2.27 GB\n", - "2022-03-23 02:45:02> ==== import_raw_data ====\n" + "2022-03-27 03:47:17> Digested 43,752 proteins and generated 5,835,394 spectra\n", + "2022-03-27 03:48:12> Database saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf. Filesize of database is 2.27 GB\n", + "2022-03-27 03:48:22> ==== import_raw_data ====\n" ] }, { @@ -6202,9 +6165,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 02:45:02> Processing 10 files for step raw_conversion\n", - "2022-03-23 02:45:02> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 03:33:49> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step raw_conversion succeeded. 10.00 %\n" + "2022-03-27 03:48:22> Processing 10 files for step raw_conversion\n", + "2022-03-27 03:48:22> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 04:36:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step raw_conversion succeeded. 10.00 %\n" ] }, { @@ -6212,14 +6175,15 @@ "output_type": "stream", "text": [ "\r", - " 10%|███████▋ | 0.1/1 [48:46<7:19:02, 29269.87s/it]" + " 10%|███████▋ | 0.1/1 [48:36<7:17:25, 29161.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:33:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step raw_conversion succeeded. 20.00 %\n" + "2022-03-27 04:36:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step raw_conversion succeeded. 20.00 %\n", + "2022-03-27 04:37:04> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step raw_conversion succeeded. 30.00 %\n" ] }, { @@ -6227,14 +6191,14 @@ "output_type": "stream", "text": [ "\r", - " 20%|███████████████▍ | 0.2/1 [48:55<2:41:23, 12104.50s/it]" + " 30%|███████████████████████▍ | 0.3/1 [48:41<1:28:26, 7580.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:34:05> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step raw_conversion succeeded. 30.00 %\n" + "2022-03-27 04:37:15> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step raw_conversion succeeded. 40.00 %\n" ] }, { @@ -6242,14 +6206,15 @@ "output_type": "stream", "text": [ "\r", - " 30%|███████████████████████▍ | 0.3/1 [49:03<1:17:08, 6612.63s/it]" + " 40%|████████████████████████████████ | 0.4/1 [48:52<49:58, 4996.69s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:34:14> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step raw_conversion succeeded. 40.00 %\n" + "2022-03-27 04:37:15> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step raw_conversion succeeded. 50.00 %\n", + "2022-03-27 04:37:42> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step raw_conversion succeeded. 60.00 %\n" ] }, { @@ -6257,14 +6222,14 @@ "output_type": "stream", "text": [ "\r", - " 40%|████████████████████████████████ | 0.4/1 [49:12<40:21, 4035.58s/it]" + " 60%|████████████████████████████████████████████████ | 0.6/1 [49:19<17:11, 2577.77s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:34:15> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step raw_conversion succeeded. 50.00 %\n" + "2022-03-27 04:37:52> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step raw_conversion succeeded. 70.00 %\n" ] }, { @@ -6272,14 +6237,14 @@ "output_type": "stream", "text": [ "\r", - " 50%|████████████████████████████████████████ | 0.5/1 [49:13<21:32, 2584.30s/it]" + " 70%|████████████████████████████████████████████████████████ | 0.7/1 [49:29<09:38, 1929.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:34:36> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step raw_conversion succeeded. 60.00 %\n" + "2022-03-27 04:38:24> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step raw_conversion succeeded. 80.00 %\n" ] }, { @@ -6287,46 +6252,51 @@ "output_type": "stream", "text": [ "\r", - " 60%|████████████████████████████████████████████████ | 0.6/1 [49:34<11:51, 1777.68s/it]" + " 80%|████████████████████████████████████████████████████████████████ | 0.8/1 [50:01<04:58, 1492.25s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:34:53> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step raw_conversion succeeded. 70.00 %\n" + "2022-03-27 04:38:24> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step raw_conversion succeeded. 90.00 %\n", + "2022-03-27 04:38:24> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step raw_conversion succeeded. 100.00 %\n", + "2022-03-27 04:38:24> ==== feature_finding ====\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 70%|████████████████████████████████████████████████████████ | 0.7/1 [49:50<06:15, 1250.80s/it]" + "\n", + "\n", + " 0%| | 0/1 [00:00 Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step raw_conversion succeeded. 80.00 %\n" + "2022-03-27 04:38:24> Processing 10 files for step find_features\n", + "2022-03-27 04:38:24> Using Bruker Feature Finder. Setting Process limit to 4.\n", + "2022-03-27 04:38:24> AlphaPool was set to 4 processes. Setting max to 4.\n", + "2022-03-27 04:38:45> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step find_features succeeded. 10.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 80%|████████████████████████████████████████████████████████████████▊ | 0.8/1 [50:19<03:08, 943.41s/it]" + "\n", + "\n", + " 10%|████████ | 0.1/1 [00:20<03:06, 206.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:35:21> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step raw_conversion succeeded. 90.00 %\n", - "2022-03-23 03:35:21> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step raw_conversion succeeded. 100.00 %\n", - "2022-03-23 03:35:21> ==== feature_finding ====\n" + "2022-03-27 04:38:45> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step find_features succeeded. 20.00 %\n" ] }, { @@ -6334,17 +6304,15 @@ "output_type": "stream", "text": [ "\n", - " 0%| | 0/1 [00:00 Processing 10 files for step find_features\n", - "2022-03-23 03:35:21> Using Bruker Feature Finder. Setting Process limit to 4.\n", - "2022-03-23 03:35:21> AlphaPool was set to 4 processes. Setting max to 4.\n", - "2022-03-23 03:35:43> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step find_features succeeded. 10.00 %\n" + "2022-03-27 04:38:45> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step find_features succeeded. 30.00 %\n" ] }, { @@ -6352,14 +6320,16 @@ "output_type": "stream", "text": [ "\n", - " 10%|████████ | 0.1/1 [00:21<03:17, 219.23s/it]\u001b[A" + "\n", + " 30%|████████████████████████▌ | 0.3/1 [00:21<00:33, 47.51s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:35:44> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step find_features succeeded. 20.00 %\n" + "2022-03-27 04:38:46> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step find_features succeeded. 40.00 %\n", + "2022-03-27 04:38:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step find_features succeeded. 50.00 %\n" ] }, { @@ -6367,15 +6337,15 @@ "output_type": "stream", "text": [ "\n", - " 20%|████████████████▍ | 0.2/1 [00:22<01:13, 91.70s/it]\u001b[A" + "\n", + " 50%|█████████████████████████████████████████ | 0.5/1 [00:34<00:29, 59.13s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:35:44> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step find_features succeeded. 30.00 %\n", - "2022-03-23 03:35:44> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step find_features succeeded. 40.00 %\n" + "2022-03-27 04:38:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step find_features succeeded. 60.00 %\n" ] }, { @@ -6383,15 +6353,17 @@ "output_type": "stream", "text": [ "\n", - " 40%|████████████████████████████████▊ | 0.4/1 [00:22<00:20, 34.53s/it]\u001b[A" + "\n", + " 60%|█████████████████████████████████████████████████▏ | 0.6/1 [00:34<00:17, 42.66s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:35:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step find_features succeeded. 50.00 %\n", - "2022-03-23 03:35:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step find_features succeeded. 60.00 %\n" + "2022-03-27 04:38:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step find_features succeeded. 70.00 %\n", + "2022-03-27 04:38:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step find_features succeeded. 80.00 %\n", + "2022-03-27 04:39:09> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step find_features succeeded. 90.00 %\n" ] }, { @@ -6399,16 +6371,15 @@ "output_type": "stream", "text": [ "\n", - " 60%|█████████████████████████████████████████████████▏ | 0.6/1 [00:36<00:20, 51.57s/it]\u001b[A" + "\n", + " 90%|█████████████████████████████████████████████████████████████████████████▊ | 0.9/1 [00:44<00:03, 36.66s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:35:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step find_features succeeded. 70.00 %\n", - "2022-03-23 03:35:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step find_features succeeded. 80.00 %\n", - "2022-03-23 03:36:07> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step find_features succeeded. 90.00 %\n" + "2022-03-27 04:39:09> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step find_features succeeded. 100.00 %\n" ] }, { @@ -6416,14 +6387,15 @@ "output_type": "stream", "text": [ "\n", - " 90%|█████████████████████████████████████████████████████████████████████████▊ | 0.9/1 [00:45<00:04, 41.34s/it]\u001b[A" + "\n", + "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [00:44<00:00, 29.79s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:36:08> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step find_features succeeded. 100.00 %\n" + "2022-03-27 04:39:09> ==== search_data ====\n" ] }, { @@ -6431,14 +6403,20 @@ "output_type": "stream", "text": [ "\n", - "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [00:46<00:00, 34.25s/it]\u001b[A" + "\n", + "\n", + " 0%| | 0/1 [00:00 ==== search_data ====\n" + "2022-03-27 04:39:09> Starting first search.\n", + "2022-03-27 04:39:09> Processing 10 files for step search_db\n", + "2022-03-27 04:39:09> Searching. Setting Process limit to 14.\n", + "2022-03-27 04:39:09> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 04:47:09> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step search_db succeeded. 10.00 %\n" ] }, { @@ -6448,18 +6426,14 @@ "\n", "\n", "\n", - " 0%| | 0/1 [00:00 Starting first search.\n", - "2022-03-23 03:36:08> Processing 10 files for step search_db\n", - "2022-03-23 03:36:08> Searching. Setting Process limit to 14.\n", - "2022-03-23 03:36:08> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 03:44:02> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step search_db succeeded. 10.00 %\n" + "2022-03-27 04:47:11> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step search_db succeeded. 20.00 %\n" ] }, { @@ -6469,14 +6443,14 @@ "\n", "\n", "\n", - " 10%|███████▊ | 0.1/1 [07:54<1:11:10, 4744.45s/it]\u001b[A\u001b[A\u001b[A" + " 20%|████████████████ | 0.2/1 [08:01<26:29, 1986.58s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:44:04> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step search_db succeeded. 20.00 %\n" + "2022-03-27 04:47:18> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step search_db succeeded. 30.00 %\n" ] }, { @@ -6486,14 +6460,14 @@ "\n", "\n", "\n", - " 20%|████████████████ | 0.2/1 [07:55<26:10, 1962.63s/it]\u001b[A\u001b[A\u001b[A" + " 30%|████████████████████████ | 0.3/1 [08:09<12:59, 1113.57s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:44:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step search_db succeeded. 30.00 %\n" + "2022-03-27 04:47:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step search_db succeeded. 40.00 %\n" ] }, { @@ -6503,16 +6477,16 @@ "\n", "\n", "\n", - " 30%|████████████████████████ | 0.3/1 [08:01<12:45, 1092.91s/it]\u001b[A\u001b[A\u001b[A" + " 40%|████████████████████████████████▍ | 0.4/1 [08:10<06:47, 679.07s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:44:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step search_db succeeded. 40.00 %\n", - "2022-03-23 03:44:10> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step search_db succeeded. 50.00 %\n", - "2022-03-23 03:44:19> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step search_db succeeded. 60.00 %\n" + "2022-03-27 04:47:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step search_db succeeded. 50.00 %\n", + "2022-03-27 04:47:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step search_db succeeded. 60.00 %\n", + "2022-03-27 04:47:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step search_db succeeded. 70.00 %\n" ] }, { @@ -6522,15 +6496,14 @@ "\n", "\n", "\n", - " 60%|████████████████████████████████████████████████▌ | 0.6/1 [08:11<02:36, 391.07s/it]\u001b[A\u001b[A\u001b[A" + " 70%|████████████████████████████████████████████████████████▋ | 0.7/1 [08:12<01:17, 256.76s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:44:19> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step search_db succeeded. 70.00 %\n", - "2022-03-23 03:44:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step search_db succeeded. 80.00 %\n" + "2022-03-27 04:47:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step search_db succeeded. 80.00 %\n" ] }, { @@ -6540,32 +6513,32 @@ "\n", "\n", "\n", - " 80%|████████████████████████████████████████████████████████████████▊ | 0.8/1 [08:12<00:48, 240.95s/it]\u001b[A\u001b[A\u001b[A" + " 80%|████████████████████████████████████████████████████████████████▊ | 0.8/1 [08:15<00:40, 204.90s/it]\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:44:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step search_db succeeded. 90.00 %\n", - "2022-03-23 03:44:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step search_db succeeded. 100.00 %\n" + "2022-03-27 04:47:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step search_db succeeded. 90.00 %\n", + "2022-03-27 04:47:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step search_db succeeded. 100.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████| 1.0/1 [59:24<00:00, 3564.18s/it]\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [09:04<00:00, 544.57s/it]\n", - "100%|██████████████████████████████████████████████████████████████████████████████| 1.0/1 [1:02:58<00:00, 3778.16s/it]\n" + "100%|████████████████████████████████████████████████████████████████████████████████| 1.0/1 [59:08<00:00, 3548.96s/it]\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [09:06<00:00, 546.92s/it]\n", + "100%|██████████████████████████████████████████████████████████████████████████████| 1.0/1 [1:02:35<00:00, 3755.07s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:44:42> First search complete.\n", - "2022-03-23 03:44:42> ==== recalibrate_data ====\n" + "2022-03-27 04:47:50> First search complete.\n", + "2022-03-27 04:47:50> ==== recalibrate_data ====\n" ] }, { @@ -6580,9 +6553,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:44:42> Processing 10 files for step calibrate_hdf\n", - "2022-03-23 03:44:42> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 03:49:08> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step calibrate_hdf succeeded. 10.00 %\n" + "2022-03-27 04:47:50> Processing 10 files for step calibrate_hdf\n", + "2022-03-27 04:47:50> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 04:52:14> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step calibrate_hdf succeeded. 10.00 %\n" ] }, { @@ -6590,14 +6563,14 @@ "output_type": "stream", "text": [ "\r", - " 10%|████████ | 0.1/1 [04:26<39:55, 2662.11s/it]" + " 10%|████████ | 0.1/1 [04:24<39:37, 2641.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:49:11> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step calibrate_hdf succeeded. 20.00 %\n" + "2022-03-27 04:52:17> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step calibrate_hdf succeeded. 20.00 %\n" ] }, { @@ -6605,15 +6578,14 @@ "output_type": "stream", "text": [ "\r", - " 20%|████████████████ | 0.2/1 [04:28<14:49, 1111.95s/it]" + " 20%|████████████████ | 0.2/1 [04:27<14:46, 1108.08s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:49:11> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step calibrate_hdf succeeded. 30.00 %\n", - "2022-03-23 03:49:12> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step calibrate_hdf succeeded. 40.00 %\n" + "2022-03-27 04:52:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step calibrate_hdf succeeded. 30.00 %\n" ] }, { @@ -6621,14 +6593,15 @@ "output_type": "stream", "text": [ "\r", - " 40%|████████████████████████████████▍ | 0.4/1 [04:30<04:11, 419.19s/it]" + " 30%|████████████████████████▎ | 0.3/1 [04:30<07:09, 613.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:49:16> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step calibrate_hdf succeeded. 50.00 %\n" + "2022-03-27 04:52:20> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step calibrate_hdf succeeded. 40.00 %\n", + "2022-03-27 04:52:21> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step calibrate_hdf succeeded. 50.00 %\n" ] }, { @@ -6636,14 +6609,14 @@ "output_type": "stream", "text": [ "\r", - " 50%|████████████████████████████████████████▌ | 0.5/1 [04:34<02:31, 302.11s/it]" + " 50%|████████████████████████████████████████▌ | 0.5/1 [04:31<02:14, 269.20s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:49:42> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step calibrate_hdf succeeded. 60.00 %\n" + "2022-03-27 04:52:49> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step calibrate_hdf succeeded. 60.00 %\n" ] }, { @@ -6651,15 +6624,15 @@ "output_type": "stream", "text": [ "\r", - " 60%|████████████████████████████████████████████████▌ | 0.6/1 [05:00<01:55, 288.18s/it]" + " 60%|████████████████████████████████████████████████▌ | 0.6/1 [04:58<01:48, 271.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:49:42> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step calibrate_hdf succeeded. 70.00 %\n", - "2022-03-23 03:49:46> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step calibrate_hdf succeeded. 80.00 %\n" + "2022-03-27 04:52:49> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step calibrate_hdf succeeded. 70.00 %\n", + "2022-03-27 04:52:50> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step calibrate_hdf succeeded. 80.00 %\n" ] }, { @@ -6667,16 +6640,16 @@ "output_type": "stream", "text": [ "\r", - " 80%|████████████████████████████████████████████████████████████████▊ | 0.8/1 [05:03<00:32, 162.68s/it]" + " 80%|████████████████████████████████████████████████████████████████▊ | 0.8/1 [05:00<00:30, 152.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:49:46> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step calibrate_hdf succeeded. 90.00 %\n", - "2022-03-23 03:49:46> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step calibrate_hdf succeeded. 100.00 %\n", - "2022-03-23 03:49:46> ==== search_data ====\n" + "2022-03-27 04:52:50> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step calibrate_hdf succeeded. 90.00 %\n", + "2022-03-27 04:52:50> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step calibrate_hdf succeeded. 100.00 %\n", + "2022-03-27 04:52:50> ==== search_data ====\n" ] }, { @@ -6691,11 +6664,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:49:46> Starting second search with DB.\n", - "2022-03-23 03:49:46> Processing 10 files for step search_db\n", - "2022-03-23 03:49:46> Searching. Setting Process limit to 14.\n", - "2022-03-23 03:49:46> AlphaPool was set to 14 processes. Setting max to 14.\n", - "2022-03-23 03:55:57> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step search_db succeeded. 10.00 %\n" + "2022-03-27 04:52:50> Starting second search with DB.\n", + "2022-03-27 04:52:50> Processing 10 files for step search_db\n", + "2022-03-27 04:52:50> Searching. Setting Process limit to 14.\n", + "2022-03-27 04:52:50> AlphaPool was set to 14 processes. Setting max to 14.\n", + "2022-03-27 04:59:02> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step search_db succeeded. 10.00 %\n" ] }, { @@ -6703,14 +6676,17 @@ "output_type": "stream", "text": [ "\n", - " 10%|████████ | 0.1/1 [06:11<55:42, 3713.94s/it]\u001b[A" + " 10%|████████ | 0.1/1 [06:11<55:42, 3713.96s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:55:58> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step search_db succeeded. 20.00 %\n" + "2022-03-27 04:59:02> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step search_db succeeded. 20.00 %\n", + "2022-03-27 04:59:02> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step search_db failed. Exception Unable to allocate 696. MiB for an array with shape (1257860,) and data type [('query_idx', ' Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step search_db succeeded. 40.00 %\n", + "2022-03-27 04:59:02> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step search_db succeeded. 50.00 %\n" ] }, { @@ -6718,14 +6694,15 @@ "output_type": "stream", "text": [ "\n", - " 20%|████████████████ | 0.2/1 [06:12<20:27, 1534.21s/it]\u001b[A" + " 50%|████████████████████████████████████████▌ | 0.5/1 [06:11<04:36, 553.99s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:56:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step search_db succeeded. 30.00 %\n" + "2022-03-27 04:59:02> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step search_db failed. Exception Unable to allocate 1.38 GiB for an array with shape (20532137, 9) and data type float64\n", + "2022-03-27 04:59:16> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step search_db succeeded. 70.00 %\n" ] }, { @@ -6733,18 +6710,14 @@ "output_type": "stream", "text": [ "\n", - " 30%|████████████████████████▎ | 0.3/1 [06:13<09:48, 840.77s/it]\u001b[A" + " 70%|████████████████████████████████████████████████████████▋ | 0.7/1 [06:25<01:51, 370.34s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:56:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step search_db succeeded. 40.00 %\n", - "2022-03-23 03:56:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step search_db succeeded. 50.00 %\n", - "2022-03-23 03:56:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step search_db succeeded. 60.00 %\n", - "2022-03-23 03:56:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step search_db failed. Exception Unable to allocate 1.39 GiB for an array with shape (20796688, 9) and data type float64\n", - "2022-03-23 03:56:04> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step search_db succeeded. 80.00 %\n" + "2022-03-27 04:59:19> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step search_db succeeded. 80.00 %\n" ] }, { @@ -6752,18 +6725,14 @@ "output_type": "stream", "text": [ "\n", - " 80%|████████████████████████████████████████████████████████████████▊ | 0.8/1 [06:18<00:40, 203.78s/it]\u001b[A" + " 80%|████████████████████████████████████████████████████████████████▊ | 0.8/1 [06:28<00:59, 298.98s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:56:04> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step search_db failed. Exception Unable to allocate 713. MiB for an array with shape (1271865,) and data type [('query_idx', ' Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step search_db succeeded. 100.00 %\n", - "2022-03-23 03:56:04> Attempting to rerun failed runs with 7 processes\n", - "2022-03-23 03:56:04> AlphaPool was set to 7 processes. Setting max to 7.\n", - "2022-03-23 03:59:38> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step search_db succeeded. 50.00 %\n" + "2022-03-27 04:59:25> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step search_db succeeded. 90.00 %\n" ] }, { @@ -6771,62 +6740,61 @@ "output_type": "stream", "text": [ "\n", - " 50%|████████████████████████████████████████▌ | 0.5/1 [09:52<03:53, 467.98s/it]\u001b[A" + " 90%|████████████████████████████████████████████████████████████████████████▉ | 0.9/1 [06:35<00:24, 243.73s/it]\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 03:59:38> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step search_db succeeded. 100.00 %\n" + "2022-03-27 04:59:26> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step search_db succeeded. 100.00 %\n", + "2022-03-27 04:59:26> Attempting to rerun failed runs with 7 processes\n", + "2022-03-27 04:59:26> AlphaPool was set to 7 processes. Setting max to 7.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [15:01<00:00, 901.51s/it]\n", - "100%|████████████████████████████████████████████████████████████████████████████████| 1.0/1 [23:39<00:00, 1419.32s/it]\n" + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [11:36<00:00, 696.03s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:00:01> Second search complete.\n", - "2022-03-23 04:00:02> ==== score ====\n" + "2022-03-27 05:03:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step search_db succeeded. 50.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 0%| | 0/1 [00:00 Processing 10 files for step score_hdf\n", - "2022-03-23 04:00:02> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 04:03:35> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step score_hdf succeeded. 10.00 %\n" + "2022-03-27 05:03:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step search_db succeeded. 100.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 10%|████████ | 0.1/1 [03:33<32:00, 2133.57s/it]" + "\n", + "100%|████████████████████████████████████████████████████████████████████████████████| 1.0/1 [23:59<00:00, 1439.64s/it]\u001b[A\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:03:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step score_hdf succeeded. 20.00 %\n" + "2022-03-27 05:03:23> Second search complete.\n", + "2022-03-27 05:03:24> ==== score ====\n" ] }, { @@ -6834,17 +6802,16 @@ "output_type": "stream", "text": [ "\r", - " 20%|████████████████ | 0.2/1 [03:56<13:32, 1016.01s/it]" + " 0%| | 0/1 [00:00 Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step score_hdf succeeded. 30.00 %\n", - "2022-03-23 04:03:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step score_hdf succeeded. 40.00 %\n", - "2022-03-23 04:03:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step score_hdf succeeded. 50.00 %\n", - "2022-03-23 04:04:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step score_hdf succeeded. 60.00 %\n" + "2022-03-27 05:03:24> Processing 10 files for step score_hdf\n", + "2022-03-27 05:03:24> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 05:06:59> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C1_01_Base.d for step score_hdf succeeded. 10.00 %\n" ] }, { @@ -6852,36 +6819,38 @@ "output_type": "stream", "text": [ "\r", - " 60%|████████████████████████████████████████████████▌ | 0.6/1 [03:57<01:33, 234.92s/it]" + " 10%|████████ | 0.1/1 [03:34<32:14, 2149.20s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:04:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step score_hdf succeeded. 70.00 %\n", - "2022-03-23 04:04:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step score_hdf succeeded. 80.00 %\n", - "2022-03-23 04:04:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step score_hdf succeeded. 90.00 %\n", - "2022-03-23 04:04:00> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step score_hdf succeeded. 100.00 %\n", - "2022-03-23 04:04:00> ==== isobaric_labeling ====\n", - "2022-03-23 04:04:00> ==== protein_grouping ====\n" + "2022-03-27 05:07:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C1_01_Base.d for step score_hdf succeeded. 20.00 %\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n", - "\n", - " 0%| | 0/1 [00:00 Fasta dict with length 43,752, Pept dict with length 5,835,400\n", - "2022-03-23 04:04:00> Extracting protein groups.\n" + "2022-03-27 05:07:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C1_01_Base.d for step score_hdf succeeded. 30.00 %\n", + "2022-03-27 05:07:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C1_01_Base.d for step score_hdf succeeded. 40.00 %\n", + "2022-03-27 05:07:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C1_01_Base.d for step score_hdf succeeded. 50.00 %\n", + "2022-03-27 05:07:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_1_C2_01_Ratio.d for step score_hdf succeeded. 60.00 %\n", + "2022-03-27 05:07:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_2_C2_01_Ratio.d for step score_hdf succeeded. 70.00 %\n", + "2022-03-27 05:07:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_3_C2_01_Ratio.d for step score_hdf succeeded. 80.00 %\n", + "2022-03-27 05:07:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_4_C2_01_Ratio.d for step score_hdf succeeded. 90.00 %\n", + "2022-03-27 05:07:22> Processing of F:\\projects\\alphapept\\sandbox\\temp/test_temp\\PXD010012_CT_5_C2_01_Ratio.d for step score_hdf succeeded. 100.00 %\n", + "2022-03-27 05:07:22> ==== isobaric_labeling ====\n", + "2022-03-27 05:07:22> ==== protein_grouping ====\n" ] }, { @@ -6890,51 +6859,40 @@ "text": [ "\n", "\n", - "\n", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [03:58<00:00, 238.41s/it]\u001b[A\u001b[A\u001b[A\n", - " 0%| | 0/1 [00:00 A total of 54,309 unique and 7,185 shared peptides.\n", - "2022-03-23 04:04:06> A total of 1795 ambigious proteins\n", - "2022-03-23 04:04:07> A total of 3,080 unique and 290 shared peptides.\n", - "2022-03-23 04:04:07> A total of 263 ambigious proteins\n", - "2022-03-23 04:04:09> Global FDR on protein_group\n", - "2022-03-23 04:04:09> 7,040 target (70 decoy) of 12675 PSMs. fdr 0.009943 for a cutoff of 0.99 (set fdr was 0.01)\n", - "2022-03-23 04:04:09> Global FDR cutoff at 0.9940195738805688.\n", - "2022-03-23 04:04:12> FDR on proteins complete. For 0.01 FDR found 424,041 targets and 265 decoys. A total of 7,110 proteins found.\n" + "2022-03-27 05:07:22> Fasta dict with length 43,752, Pept dict with length 5,835,400\n", + "2022-03-27 05:07:22> Extracting protein groups.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\admin\\.conda\\envs\\alphapept\\lib\\site-packages\\pandas\\core\\generic.py:2703: PerformanceWarning: \n", - "your performance may suffer as PyTables will pickle object types that it cannot\n", - "map directly to c-types [inferred_type->mixed,key->block5_values] [items->Index(['fragment_ion_int', 'fragment_ion_type', 'precursor', 'sequence',\n", - " 'sequence_naked', 'filename', 'shortname', 'protein', 'protein_group',\n", - " 'razor', 'protein_idx'],\n", - " dtype='object')]\n", "\n", - " pytables.to_hdf(\n" + "\n", + "\n", + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [03:58<00:00, 238.71s/it]\u001b[A\u001b[A\u001b[A\n", + " 0%| | 0/1 [00:00 Saving complete.\n", - "2022-03-23 04:04:13> Protein groups complete.\n", - "2022-03-23 04:04:13> ==== quantification ====\n", - "2022-03-23 04:04:13> Reading protein_fdr for quantification.\n", - "2022-03-23 04:04:14> Delayed Normalization.\n", - "2022-03-23 04:04:15> Setting minimum occurence to 10.0\n", - "2022-03-23 04:04:16> Normalization with SLSQP failed. Trying BFGS\n", - "2022-03-23 04:04:20> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n" + "2022-03-27 05:07:26> A total of 54,309 unique and 7,185 shared peptides.\n", + "2022-03-27 05:07:28> A total of 1795 ambigious proteins\n", + "2022-03-27 05:07:29> A total of 3,080 unique and 290 shared peptides.\n", + "2022-03-27 05:07:29> A total of 263 ambigious proteins\n", + "2022-03-27 05:07:32> Global FDR on protein_group\n", + "2022-03-27 05:07:32> 7,040 target (70 decoy) of 12675 PSMs. fdr 0.009943 for a cutoff of 0.99 (set fdr was 0.01)\n", + "2022-03-27 05:07:32> Global FDR cutoff at 0.9940195738805688.\n", + "2022-03-27 05:07:34> FDR on proteins complete. For 0.01 FDR found 424,041 targets and 265 decoys. A total of 7,110 proteins found.\n" ] }, { @@ -6955,14 +6913,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:04:21> Complete.\n", - "2022-03-23 04:04:21> Starting profile extraction.\n" + "2022-03-27 05:07:36> Saving complete.\n", + "2022-03-27 05:07:36> Protein groups complete.\n", + "2022-03-27 05:07:36> ==== quantification ====\n", + "2022-03-27 05:07:36> Reading protein_fdr for quantification.\n", + "2022-03-27 05:07:37> Delayed Normalization.\n", + "2022-03-27 05:07:37> Setting minimum occurence to 10.0\n", + "2022-03-27 05:07:38> Normalization with SLSQP failed. Trying BFGS\n", + "2022-03-27 05:07:43> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", + "2022-03-27 05:07:44> Complete.\n", + "2022-03-27 05:07:44> Starting profile extraction.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ + "C:\\Users\\admin\\.conda\\envs\\alphapept\\lib\\site-packages\\pandas\\core\\generic.py:2703: PerformanceWarning: \n", + "your performance may suffer as PyTables will pickle object types that it cannot\n", + "map directly to c-types [inferred_type->mixed,key->block5_values] [items->Index(['fragment_ion_int', 'fragment_ion_type', 'precursor', 'sequence',\n", + " 'sequence_naked', 'filename', 'shortname', 'protein', 'protein_group',\n", + " 'razor', 'protein_idx'],\n", + " dtype='object')]\n", + "\n", + " pytables.to_hdf(\n", "\r", " 0%| | 0/1 [00:00 Preparing protein table for parallel processing.\n" + "2022-03-27 05:07:44> Preparing protein table for parallel processing.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 20%|█████████████ | 0.19834036568213784/1 [00:09<00:32, 40.65s/it]" + " 20%|█████████████▎ | 0.1989029535864979/1 [00:08<00:29, 36.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:04:31> Starting protein extraction for 7110 proteins.\n", - "2022-03-23 04:04:31> AlphaPool was set to 24 processes. Setting max to 24.\n" + "2022-03-27 05:07:52> Starting protein extraction for 7110 proteins.\n", + "2022-03-27 05:07:52> AlphaPool was set to 24 processes. Setting max to 24.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████████████████████████████████████████████████████████████▉| 0.9996624472573838/1 [03:07<00:00, 198.61s/it]" + "100%|███████████████████████████████████████████████████████████████████▉| 0.99943741209564/1 [02:57<00:00, 209.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:07:35> LFQ complete.\n", - "2022-03-23 04:07:35> Extracting protein_summary\n", - "2022-03-23 04:07:35> Saved protein_summary of length 7,110 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 04:07:35> Updating protein_fdr.\n", - "2022-03-23 04:07:36> Exporting as csv.\n", - "2022-03-23 04:07:53> Saved df of length 424,306 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 04:07:53> ==== export ====\n", - "2022-03-23 04:08:54> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", - "2022-03-23 04:08:54> Analysis complete.\n" + "2022-03-27 05:10:47> LFQ complete.\n", + "2022-03-27 05:10:47> Extracting protein_summary\n", + "2022-03-27 05:10:48> Saved protein_summary of length 7,110 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 05:10:48> Updating protein_fdr.\n", + "2022-03-27 05:10:49> Exporting as csv.\n", + "2022-03-27 05:11:05> Saved df of length 424,306 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 05:11:05> ==== export ====\n", + "2022-03-27 05:12:07> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 05:12:07> Analysis complete.\n" ] } ], @@ -7023,7 +6997,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -7096,14 +7070,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:08:56> Loading files\n" + "2022-03-27 05:12:09> Loading files\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_1436/1951999832.py:7: DtypeWarning: Columns (54) have mixed types.Specify dtype option on import or set low_memory=False.\n", + "C:\\Users\\admin\\AppData\\Local\\Temp/ipykernel_22996/1951999832.py:7: DtypeWarning: Columns (54) have mixed types.Specify dtype option on import or set low_memory=False.\n", " pt = protein_profile_parallel_mq(evidence_path, protein_group_path)\n" ] }, @@ -7111,32 +7085,32 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:09:00> A total of 10 files.\n" + "2022-03-27 05:12:12> A total of 10 files.\n", + "2022-03-27 05:12:22> A total of 7,413 proteins.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████| 1.0/1 [19:22<00:00, 1162.89s/it]\n", - " 0%| | 0/1 [05:09 A total of 7,413 proteins.\n", - "2022-03-23 04:09:19> Setting minimum occurence to 10.0\n", - "2022-03-23 04:09:25> Preparing protein table for parallel processing.\n", - "2022-03-23 04:09:31> Starting protein extraction for 7413 proteins.\n", - "2022-03-23 04:09:31> AlphaPool was set to 24 processes. Setting max to 24.\n" + "2022-03-27 05:12:31> Setting minimum occurence to 10.0\n", + "2022-03-27 05:12:37> Preparing protein table for parallel processing.\n", + "2022-03-27 05:12:43> Starting protein extraction for 7413 proteins.\n", + "2022-03-27 05:12:43> AlphaPool was set to 24 processes. Setting max to 24.\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -7195,73 +7169,73 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:12:33> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", - "2022-03-23 04:12:38> No settings provided. Creating from default settings.\n", - "2022-03-23 04:12:38> Couldn't find compiled exe. Using Python version for testing.\n", - "2022-03-23 04:12:38> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323041238.txt.\n", - "2022-03-23 04:12:38> Platform information:\n", - "2022-03-23 04:12:38> system - Windows\n", - "2022-03-23 04:12:38> release - 10\n", - "2022-03-23 04:12:38> version - 10.0.19044\n", - "2022-03-23 04:12:38> machine - AMD64\n", - "2022-03-23 04:12:38> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 04:12:38> cpu count - 24\n", - "2022-03-23 04:12:38> ram memory - 119.4/127.7 Gb (available/total)\n", - "2022-03-23 04:12:38> \n", - "2022-03-23 04:12:38> Python information:\n", - "2022-03-23 04:12:38> SQLAlchemy - 1.4.23\n", - "2022-03-23 04:12:38> alphapept - 0.4.3\n", - "2022-03-23 04:12:38> biopython - 1.78\n", - "2022-03-23 04:12:38> bumpversion - \n", - "2022-03-23 04:12:38> bumpversion> - \n", - "2022-03-23 04:12:38> click - 7.1.2\n", - "2022-03-23 04:12:38> click> - \n", - "2022-03-23 04:12:38> fastcore - 1.3.21\n", - "2022-03-23 04:12:38> h5py - 3.4.0\n", - "2022-03-23 04:12:38> jupyter - 1.0.0\n", - "2022-03-23 04:12:38> jupyter> - \n", - "2022-03-23 04:12:38> jupyter_contrib_nbextensions - \n", - "2022-03-23 04:12:38> jupyter_contrib_nbextensions> - \n", - "2022-03-23 04:12:38> matplotlib - 3.3.3\n", - "2022-03-23 04:12:38> nbdev - 1.1.23\n", - "2022-03-23 04:12:38> nbdev> - \n", - "2022-03-23 04:12:38> networkx - 2.6.3\n", - "2022-03-23 04:12:38> numba - 0.54.0\n", - "2022-03-23 04:12:38> numpy - 1.20.3\n", - "2022-03-23 04:12:38> pandas - 1.3.4\n", - "2022-03-23 04:12:38> plotly_express - 0.4.1\n", - "2022-03-23 04:12:38> psutil - 5.8.0\n", - "2022-03-23 04:12:38> pyinstaller - \n", - "2022-03-23 04:12:38> pyteomics - 4.4.2\n", - "2022-03-23 04:12:38> python - 3.8.12\n", - "2022-03-23 04:12:38> pythonnet - 2.5.2\n", - "2022-03-23 04:12:38> pywin32 - 225\n", - "2022-03-23 04:12:38> pyyaml - 5.4.1\n", - "2022-03-23 04:12:38> scikit-learn - 0.24.2\n", - "2022-03-23 04:12:38> scipy - 1.7.1\n", - "2022-03-23 04:12:38> streamlit - 1.2.0\n", - "2022-03-23 04:12:38> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 04:12:38> streamlit> - \n", - "2022-03-23 04:12:38> tables - 3.6.1\n", - "2022-03-23 04:12:38> tqdm - 4.56.0\n", - "2022-03-23 04:12:38> twine - \n", - "2022-03-23 04:12:38> twine> - \n", - "2022-03-23 04:12:38> watchdog - 2.1.5\n", - "2022-03-23 04:12:38> wget - 3.2\n", - "2022-03-23 04:12:38> \n", - "2022-03-23 04:12:38> Check for settings not completely implemented yet.\n", - "2022-03-23 04:12:38> Checking if files exist.\n", - "2022-03-23 04:12:38> FASTA Files have a total size of 266.66 Mb\n", - "2022-03-23 04:12:38> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 04:12:38> Shortnames not set. Setting to filename.\n", - "2022-03-23 04:12:38> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 04:12:38> Workflow has 11 steps\n", - "2022-03-23 04:12:38> ==== create_database ====\n", - "2022-03-23 04:12:38> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", - "2022-03-23 04:12:38> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\all_uniprot_reviewed.fasta with size 266.52 Mb.\n", - "2022-03-23 04:12:38> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", - "2022-03-23 04:12:38> Total FASTA size 266.66 is larger than the set maximum size of 100.00 Mb\n", - "2022-03-23 04:12:38> ==== import_raw_data ====\n" + "2022-03-27 05:15:10> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", + "2022-03-27 05:15:18> No settings provided. Creating from default settings.\n", + "2022-03-27 05:15:18> Couldn't find compiled exe. Using Python version for testing.\n", + "2022-03-27 05:15:18> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327051518.txt.\n", + "2022-03-27 05:15:18> Platform information:\n", + "2022-03-27 05:15:18> system - Windows\n", + "2022-03-27 05:15:18> release - 10\n", + "2022-03-27 05:15:18> version - 10.0.19044\n", + "2022-03-27 05:15:18> machine - AMD64\n", + "2022-03-27 05:15:18> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 05:15:18> cpu count - 24\n", + "2022-03-27 05:15:18> ram memory - 119.3/127.7 Gb (available/total)\n", + "2022-03-27 05:15:18> \n", + "2022-03-27 05:15:18> Python information:\n", + "2022-03-27 05:15:18> SQLAlchemy - 1.4.23\n", + "2022-03-27 05:15:18> alphapept - 0.4.4\n", + "2022-03-27 05:15:18> biopython - 1.78\n", + "2022-03-27 05:15:18> bumpversion - \n", + "2022-03-27 05:15:18> bumpversion> - \n", + "2022-03-27 05:15:18> click - 7.1.2\n", + "2022-03-27 05:15:18> click> - \n", + "2022-03-27 05:15:18> fastcore - 1.3.21\n", + "2022-03-27 05:15:18> h5py - 3.4.0\n", + "2022-03-27 05:15:18> jupyter - 1.0.0\n", + "2022-03-27 05:15:18> jupyter> - \n", + "2022-03-27 05:15:18> jupyter_contrib_nbextensions - \n", + "2022-03-27 05:15:18> jupyter_contrib_nbextensions> - \n", + "2022-03-27 05:15:18> matplotlib - 3.3.3\n", + "2022-03-27 05:15:18> nbdev - 1.1.23\n", + "2022-03-27 05:15:18> nbdev> - \n", + "2022-03-27 05:15:18> networkx - 2.6.3\n", + "2022-03-27 05:15:18> numba - 0.54.0\n", + "2022-03-27 05:15:18> numpy - 1.20.3\n", + "2022-03-27 05:15:18> pandas - 1.3.4\n", + "2022-03-27 05:15:18> plotly_express - 0.4.1\n", + "2022-03-27 05:15:18> psutil - 5.8.0\n", + "2022-03-27 05:15:18> pyinstaller - \n", + "2022-03-27 05:15:18> pyteomics - 4.4.2\n", + "2022-03-27 05:15:18> python - 3.8.12\n", + "2022-03-27 05:15:18> pythonnet - 2.5.2\n", + "2022-03-27 05:15:18> pywin32 - 225\n", + "2022-03-27 05:15:18> pyyaml - 5.4.1\n", + "2022-03-27 05:15:18> scikit-learn - 0.24.2\n", + "2022-03-27 05:15:18> scipy - 1.7.1\n", + "2022-03-27 05:15:18> streamlit - 1.2.0\n", + "2022-03-27 05:15:18> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 05:15:18> streamlit> - \n", + "2022-03-27 05:15:18> tables - 3.6.1\n", + "2022-03-27 05:15:18> tqdm - 4.56.0\n", + "2022-03-27 05:15:18> twine - \n", + "2022-03-27 05:15:18> twine> - \n", + "2022-03-27 05:15:18> watchdog - 2.1.5\n", + "2022-03-27 05:15:18> wget - 3.2\n", + "2022-03-27 05:15:18> \n", + "2022-03-27 05:15:18> Check for settings not completely implemented yet.\n", + "2022-03-27 05:15:18> Checking if files exist.\n", + "2022-03-27 05:15:18> FASTA Files have a total size of 266.663 Mb\n", + "2022-03-27 05:15:18> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 05:15:18> Shortnames not set. Setting to filename.\n", + "2022-03-27 05:15:18> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 05:15:18> Workflow has 11 steps\n", + "2022-03-27 05:15:18> ==== create_database ====\n", + "2022-03-27 05:15:18> Database path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf is not a file.\n", + "2022-03-27 05:15:18> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\all_uniprot_reviewed.fasta with size 266.52 Mb.\n", + "2022-03-27 05:15:18> Found FASTA file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\contaminants.fasta with size 0.15 Mb.\n", + "2022-03-27 05:15:18> Total FASTA size 266.66 is larger than the set maximum size of 100.00 Mb\n", + "2022-03-27 05:15:18> ==== import_raw_data ====\n" ] }, { @@ -7276,11 +7250,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:12:38> Processing 1 files for step raw_conversion\n", - "2022-03-23 04:12:38> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa has extension .raw - converting from Thermo.\n", - "2022-03-23 04:14:37> File conversion complete. Extracted 120,226 precursors.\n", - "2022-03-23 04:14:39> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", - "2022-03-23 04:14:39> ==== feature_finding ====\n" + "2022-03-27 05:15:18> Processing 1 files for step raw_conversion\n", + "2022-03-27 05:15:18> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa has extension .raw - converting from Thermo.\n", + "2022-03-27 05:17:14> File conversion complete. Extracted 120,226 precursors.\n", + "2022-03-27 05:17:15> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", + "2022-03-27 05:17:15> ==== feature_finding ====\n" ] }, { @@ -7295,39 +7269,39 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:14:39> Processing 1 files for step find_features\n", - "2022-03-23 04:14:39> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf. Adding to feature finding list.\n", - "2022-03-23 04:14:39> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw\n", - "2022-03-23 04:14:39> Hill extraction with centroid_tol 8 and max_gap 2\n" + "2022-03-27 05:17:15> Processing 1 files for step find_features\n", + "2022-03-27 05:17:15> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf. Adding to feature finding list.\n", + "2022-03-27 05:17:16> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw\n", + "2022-03-27 05:17:16> Hill extraction with centroid_tol 8 and max_gap 2\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [02:04 Number of hills 1,105,353, len = 17.35\n", - "2022-03-23 04:14:43> Repeating hill extraction with centroid_tol 5.87\n", - "2022-03-23 04:14:48> Number of hills 1,227,331, len = 19.44\n", - "2022-03-23 04:14:48> After duplicate removal of hills 1,025,845\n", - "2022-03-23 04:14:58> After split hill_ptrs 1,207,373\n", - "2022-03-23 04:14:59> After filter hill_ptrs 1,188,406\n", - "2022-03-23 04:17:10> Extracting hill stats complete\n", - "2022-03-23 04:17:21> Found 184,383 pre isotope patterns.\n", - "2022-03-23 04:18:02> Extracted 198,779 isotope patterns.\n", - "2022-03-23 04:18:05> Report complete.\n", - "2022-03-23 04:18:05> Matching features to query data.\n", - "2022-03-23 04:18:07> Saving feature table.\n", - "2022-03-23 04:18:07> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", - "2022-03-23 04:18:07> Saving features.\n", - "2022-03-23 04:18:07> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", - "2022-03-23 04:18:07> ==== search_data ====\n" + "2022-03-27 05:17:20> Number of hills 1,105,353, len = 17.35\n", + "2022-03-27 05:17:20> Repeating hill extraction with centroid_tol 5.87\n", + "2022-03-27 05:17:24> Number of hills 1,227,331, len = 19.44\n", + "2022-03-27 05:17:25> After duplicate removal of hills 1,025,845\n", + "2022-03-27 05:17:35> After split hill_ptrs 1,207,373\n", + "2022-03-27 05:17:35> After filter hill_ptrs 1,188,406\n", + "2022-03-27 05:19:42> Extracting hill stats complete\n", + "2022-03-27 05:19:53> Found 184,383 pre isotope patterns.\n", + "2022-03-27 05:20:31> Extracted 198,779 isotope patterns.\n", + "2022-03-27 05:20:34> Report complete.\n", + "2022-03-27 05:20:34> Matching features to query data.\n", + "2022-03-27 05:20:36> Saving feature table.\n", + "2022-03-27 05:20:36> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", + "2022-03-27 05:20:36> Saving features.\n", + "2022-03-27 05:20:36> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", + "2022-03-27 05:20:36> ==== search_data ====\n" ] }, { @@ -7342,11 +7316,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:18:07> Starting first search.\n", - "2022-03-23 04:18:18> Number of FASTA entries: 564,523 - FASTA settings {'mods_fixed': ['cC'], 'mods_fixed_terminal': [], 'mods_variable': ['oxM'], 'mods_variable_terminal': [], 'mods_fixed_terminal_prot': [], 'mods_variable_terminal_prot': ['a<^'], 'n_missed_cleavages': 2, 'pep_length_min': 7, 'pep_length_max': 27, 'isoforms_max': 1024, 'n_modifications_max': 3, 'pseudo_reverse': True, 'AL_swap': False, 'KR_swap': False, 'protease': 'trypsin', 'spectra_block': 100000, 'fasta_block': 1000, 'save_db': True, 'fasta_size_max': 100}\n", - "2022-03-23 04:18:18> Setting Process limit to 29\n", - "2022-03-23 04:18:18> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 04:19:54> Block 1 of 565 complete - 0.18 % - created peptides 123,414 \n" + "2022-03-27 05:20:36> Starting first search.\n", + "2022-03-27 05:20:48> Number of FASTA entries: 564,523 - FASTA settings {'mods_fixed': ['cC'], 'mods_fixed_terminal': [], 'mods_variable': ['oxM'], 'mods_variable_terminal': [], 'mods_fixed_terminal_prot': [], 'mods_variable_terminal_prot': ['a<^'], 'n_missed_cleavages': 2, 'pep_length_min': 7, 'pep_length_max': 27, 'isoforms_max': 1024, 'n_modifications_max': 3, 'pseudo_reverse': True, 'AL_swap': False, 'KR_swap': False, 'protease': 'trypsin', 'spectra_block': 100000, 'fasta_block': 1000, 'save_db': True, 'fasta_size_max': 100}\n", + "2022-03-27 05:20:48> Setting Process limit to 23\n", + "2022-03-27 05:20:48> AlphaPool was set to 23 processes. Setting max to 23.\n", + "2022-03-27 05:22:23> Block 1 of 565 complete - 0.18 % - created peptides 123,414 - total peptides 123,414 \n" ] }, { @@ -7354,29 +7328,29 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 0.0017699115044247787/1 [01:47<16:49:53, 60700.71s/it]" + " 0%| | 0.0017699115044247787/1 [01:47<16:48:29, 60616.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:19:57> Block 2 of 565 complete - 0.35 % - created peptides 128,598 \n" + "2022-03-27 05:22:24> Block 2 of 565 complete - 0.35 % - created peptides 128,598 - total peptides 252,012 \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [05:19 Block 3 of 565 complete - 0.53 % - created peptides 127,088 \n" + "2022-03-27 05:22:25> Block 3 of 565 complete - 0.53 % - created peptides 127,088 - total peptides 379,100 \n" ] }, { @@ -7384,14 +7358,14 @@ "output_type": "stream", "text": [ "\r", - " 1%|▎ | 0.005309734513274336/1 [01:52<4:03:51, 14709.82s/it]" + " 1%|▎ | 0.005309734513274336/1 [01:50<3:54:38, 14153.25s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:00> Block 4 of 565 complete - 0.71 % - created peptides 132,722 \n" + "2022-03-27 05:22:27> Block 4 of 565 complete - 0.71 % - created peptides 136,728 - total peptides 515,828 \n" ] }, { @@ -7399,14 +7373,14 @@ "output_type": "stream", "text": [ "\r", - " 1%|▍ | 0.007079646017699115/1 [01:56<2:40:07, 9675.77s/it]" + " 1%|▍ | 0.007079646017699115/1 [01:53<2:33:10, 9255.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:03> Block 5 of 565 complete - 0.88 % - created peptides 133,948 \n" + "2022-03-27 05:22:29> Block 5 of 565 complete - 0.88 % - created peptides 132,722 - total peptides 648,550 \n" ] }, { @@ -7414,14 +7388,14 @@ "output_type": "stream", "text": [ "\r", - " 1%|▌ | 0.008849557522123894/1 [01:59<1:51:48, 6768.51s/it]" + " 1%|▌ | 0.008849557522123894/1 [01:56<1:49:50, 6649.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:06> Block 6 of 565 complete - 1.06 % - created peptides 136,728 \n" + "2022-03-27 05:22:33> Block 6 of 565 complete - 1.06 % - created peptides 133,948 - total peptides 782,498 \n" ] }, { @@ -7429,14 +7403,14 @@ "output_type": "stream", "text": [ "\r", - " 1%|▋ | 0.010619469026548672/1 [02:02<1:23:35, 5069.44s/it]" + " 1%|▋ | 0.010619469026548672/1 [01:59<1:21:42, 4954.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:09> Block 7 of 565 complete - 1.24 % - created peptides 140,554 \n" + "2022-03-27 05:22:36> Block 7 of 565 complete - 1.24 % - created peptides 140,554 - total peptides 923,052 \n" ] }, { @@ -7444,14 +7418,14 @@ "output_type": "stream", "text": [ "\r", - " 1%|▊ | 0.012389380530973451/1 [02:06<1:10:00, 4252.76s/it]" + " 1%|▊ | 0.012389380530973451/1 [02:03<1:06:54, 4065.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:14> Block 8 of 565 complete - 1.42 % - created peptides 143,956 \n" + "2022-03-27 05:22:40> Block 8 of 565 complete - 1.42 % - created peptides 143,956 - total peptides 1,067,008 \n" ] }, { @@ -7459,14 +7433,14 @@ "output_type": "stream", "text": [ "\r", - " 1%|▉ | 0.01415929203539823/1 [02:10<58:16, 3546.63s/it]" + " 1%|▉ | 0.01415929203539823/1 [02:05<52:06, 3171.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:18> Block 9 of 565 complete - 1.59 % - created peptides 127,222 \n" + "2022-03-27 05:22:42> Block 9 of 565 complete - 1.59 % - created peptides 142,270 - total peptides 1,209,278 \n" ] }, { @@ -7474,14 +7448,14 @@ "output_type": "stream", "text": [ "\r", - " 2%|█ | 0.01592920353982301/1 [02:13<48:07, 2934.71s/it]" + " 2%|█ | 0.01592920353982301/1 [02:09<45:49, 2794.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:20> Block 10 of 565 complete - 1.77 % - created peptides 142,270 \n" + "2022-03-27 05:22:45> Block 10 of 565 complete - 1.77 % - created peptides 149,714 - total peptides 1,358,992 \n" ] }, { @@ -7489,14 +7463,14 @@ "output_type": "stream", "text": [ "\r", - " 2%|█ | 0.017699115044247787/1 [02:17<44:45, 2733.71s/it]" + " 2%|█ | 0.017699115044247787/1 [02:11<38:36, 2358.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:24> Block 11 of 565 complete - 1.95 % - created peptides 149,714 \n" + "2022-03-27 05:22:48> Block 11 of 565 complete - 1.95 % - created peptides 150,902 - total peptides 1,509,894 \n" ] }, { @@ -7504,14 +7478,14 @@ "output_type": "stream", "text": [ "\r", - " 2%|█▏ | 0.019469026548672566/1 [02:20<40:09, 2457.53s/it]" + " 2%|█▏ | 0.019469026548672566/1 [02:15<36:08, 2211.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:28> Block 12 of 565 complete - 2.12 % - created peptides 150,902 \n" + "2022-03-27 05:22:51> Block 12 of 565 complete - 2.12 % - created peptides 161,018 - total peptides 1,670,912 \n" ] }, { @@ -7519,14 +7493,14 @@ "output_type": "stream", "text": [ "\r", - " 2%|█▎ | 0.021238938053097345/1 [02:24<38:39, 2370.17s/it]" + " 2%|█▎ | 0.021238938053097345/1 [02:18<33:18, 2041.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:32> Block 13 of 565 complete - 2.30 % - created peptides 159,688 \n" + "2022-03-27 05:22:54> Block 13 of 565 complete - 2.30 % - created peptides 159,688 - total peptides 1,830,600 \n" ] }, { @@ -7534,14 +7508,14 @@ "output_type": "stream", "text": [ "\r", - " 2%|█▍ | 0.023008849557522124/1 [02:27<36:19, 2230.65s/it]" + " 2%|█▍ | 0.023008849557522124/1 [02:22<35:07, 2157.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:35> Block 14 of 565 complete - 2.48 % - created peptides 161,018 \n" + "2022-03-27 05:22:58> Block 14 of 565 complete - 2.48 % - created peptides 164,228 - total peptides 1,994,828 \n" ] }, { @@ -7549,14 +7523,14 @@ "output_type": "stream", "text": [ "\r", - " 2%|█▌ | 0.024778761061946902/1 [02:32<39:07, 2407.07s/it]" + " 2%|█▌ | 0.024778761061946902/1 [02:26<37:09, 2286.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:40> Block 15 of 565 complete - 2.65 % - created peptides 165,944 \n" + "2022-03-27 05:23:03> Block 15 of 565 complete - 2.65 % - created peptides 165,944 - total peptides 2,160,772 \n" ] }, { @@ -7564,14 +7538,14 @@ "output_type": "stream", "text": [ "\r", - " 3%|█▋ | 0.02654867256637168/1 [02:37<39:24, 2429.15s/it]" + " 3%|█▋ | 0.02654867256637168/1 [02:30<36:46, 2266.78s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:44> Block 16 of 565 complete - 2.83 % - created peptides 164,228 \n" + "2022-03-27 05:23:07> Block 16 of 565 complete - 2.83 % - created peptides 166,612 - total peptides 2,327,384 \n" ] }, { @@ -7579,14 +7553,14 @@ "output_type": "stream", "text": [ "\r", - " 3%|█▊ | 0.02831858407079646/1 [02:43<43:48, 2704.76s/it]" + " 3%|█▊ | 0.02831858407079646/1 [02:36<40:37, 2508.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:50> Block 17 of 565 complete - 3.01 % - created peptides 166,654 \n" + "2022-03-27 05:23:12> Block 17 of 565 complete - 3.01 % - created peptides 167,576 - total peptides 2,494,960 \n" ] }, { @@ -7594,14 +7568,14 @@ "output_type": "stream", "text": [ "\r", - " 3%|█▉ | 0.03008849557522124/1 [02:49<47:59, 2968.82s/it]" + " 3%|█▉ | 0.03008849557522124/1 [02:44<49:54, 3087.46s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:20:57> Block 18 of 565 complete - 3.19 % - created peptides 167,576 \n" + "2022-03-27 05:23:20> Block 18 of 565 complete - 3.19 % - created peptides 171,578 - total peptides 2,666,538 \n" ] }, { @@ -7609,14 +7583,14 @@ "output_type": "stream", "text": [ "\r", - " 3%|██ | 0.03185840707964602/1 [02:58<57:27, 3560.95s/it]" + " 3%|██ | 0.03185840707964602/1 [02:49<49:16, 3053.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:21:05> Block 19 of 565 complete - 3.36 % - created peptides 166,612 \n" + "2022-03-27 05:23:27> Block 19 of 565 complete - 3.36 % - created peptides 166,654 - total peptides 2,833,192 \n" ] }, { @@ -7624,14 +7598,14 @@ "output_type": "stream", "text": [ "\r", - " 3%|██ | 0.033628318584070796/1 [03:05<58:54, 3657.14s/it]" + " 3%|██ | 0.033628318584070796/1 [02:57<55:27, 3442.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:21:12> Block 20 of 565 complete - 3.54 % - created peptides 171,578 \n" + "2022-03-27 05:23:33> Block 20 of 565 complete - 3.54 % - created peptides 173,356 - total peptides 3,006,548 \n" ] }, { @@ -7639,14 +7613,14 @@ "output_type": "stream", "text": [ "\r", - " 4%|██▏ | 0.035398230088495575/1 [03:11<58:49, 3659.05s/it]" + " 4%|██▏ | 0.035398230088495575/1 [03:03<55:54, 3477.86s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:21:19> Block 21 of 565 complete - 3.72 % - created peptides 173,356 \n" + "2022-03-27 05:23:39> Block 21 of 565 complete - 3.72 % - created peptides 172,168 - total peptides 3,178,716 \n" ] }, { @@ -7654,14 +7628,14 @@ "output_type": "stream", "text": [ "\r", - " 4%|██▍ | 0.03716814159292035/1 [03:18<59:31, 3709.06s/it]" + " 4%|██▍ | 0.03716814159292035/1 [03:09<56:42, 3533.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:21:25> Block 22 of 565 complete - 3.89 % - created peptides 172,168 \n" + "2022-03-27 05:23:46> Block 22 of 565 complete - 3.89 % - created peptides 183,578 - total peptides 3,362,294 \n" ] }, { @@ -7669,14 +7643,14 @@ "output_type": "stream", "text": [ "\r", - " 4%|██▍ | 0.03893805309734513/1 [03:25<1:00:14, 3760.94s/it]" + " 4%|██▍ | 0.03893805309734513/1 [03:16<56:29, 3527.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:21:32> Block 23 of 565 complete - 4.07 % - created peptides 183,578 \n" + "2022-03-27 05:23:52> Block 23 of 565 complete - 4.07 % - created peptides 195,762 - total peptides 3,558,056 \n" ] }, { @@ -7684,14 +7658,14 @@ "output_type": "stream", "text": [ "\r", - " 4%|██▌ | 0.04070796460176991/1 [03:31<59:44, 3736.22s/it]" + " 4%|██▌ | 0.04070796460176991/1 [03:23<1:00:18, 3772.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:21:39> Block 24 of 565 complete - 4.25 % - created peptides 195,762 \n" + "2022-03-27 05:24:00> Block 24 of 565 complete - 4.25 % - created peptides 123,870 - total peptides 3,681,926 \n" ] }, { @@ -7699,14 +7673,14 @@ "output_type": "stream", "text": [ "\r", - " 4%|██▋ | 0.04247787610619469/1 [03:38<1:00:30, 3791.05s/it]" + " 4%|██▋ | 0.04247787610619469/1 [03:28<55:03, 3450.13s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:21:46> Block 25 of 565 complete - 4.42 % - created peptides 123,870 \n" + "2022-03-27 05:24:05> Block 25 of 565 complete - 4.42 % - created peptides 125,084 - total peptides 3,807,010 \n" ] }, { @@ -7714,14 +7688,14 @@ "output_type": "stream", "text": [ "\r", - " 4%|██▊ | 0.04424778761061947/1 [03:44<57:18, 3597.30s/it]" + " 4%|██▊ | 0.04424778761061947/1 [03:34<55:44, 3498.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:21:51> Block 26 of 565 complete - 4.60 % - created peptides 125,084 \n" + "2022-03-27 05:24:11> Block 26 of 565 complete - 4.60 % - created peptides 127,222 - total peptides 3,934,232 \n" ] }, { @@ -7729,14 +7703,14 @@ "output_type": "stream", "text": [ "\r", - " 5%|██▊ | 0.04601769911504425/1 [03:52<1:01:15, 3853.20s/it]" + " 5%|██▉ | 0.04601769911504425/1 [03:40<52:36, 3308.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:21:59> Block 27 of 565 complete - 4.78 % - created peptides 137,994 \n" + "2022-03-27 05:24:16> Block 27 of 565 complete - 4.78 % - created peptides 137,994 - total peptides 4,072,226 \n" ] }, { @@ -7744,14 +7718,14 @@ "output_type": "stream", "text": [ "\r", - " 5%|██▉ | 0.047787610619469026/1 [04:01<1:07:15, 4238.42s/it]" + " 5%|███ | 0.047787610619469026/1 [03:46<54:57, 3462.74s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:22:08> Block 28 of 565 complete - 4.96 % - created peptides 125,634 \n" + "2022-03-27 05:24:23> Block 28 of 565 complete - 4.96 % - created peptides 165,874 - total peptides 4,238,100 \n" ] }, { @@ -7759,14 +7733,14 @@ "output_type": "stream", "text": [ "\r", - " 5%|███ | 0.049557522123893805/1 [04:09<1:09:57, 4416.72s/it]" + " 5%|███ | 0.049557522123893805/1 [03:53<57:16, 3615.74s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:22:17> Block 29 of 565 complete - 5.13 % - created peptides 165,874 \n" + "2022-03-27 05:24:30> Block 29 of 565 complete - 5.13 % - created peptides 125,634 - total peptides 4,363,734 \n" ] }, { @@ -7774,14 +7748,14 @@ "output_type": "stream", "text": [ "\r", - " 5%|███▏ | 0.05132743362831858/1 [04:16<1:06:20, 4195.91s/it]" + " 5%|███▏ | 0.05132743362831858/1 [04:01<1:01:24, 3884.21s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:22:23> Block 30 of 565 complete - 5.31 % - created peptides 154,300 \n" + "2022-03-27 05:24:38> Block 30 of 565 complete - 5.31 % - created peptides 121,136 - total peptides 4,484,870 \n" ] }, { @@ -7789,14 +7763,14 @@ "output_type": "stream", "text": [ "\r", - " 5%|███▎ | 0.05309734513274336/1 [04:24<1:08:05, 4314.58s/it]" + " 5%|███▎ | 0.05309734513274336/1 [04:09<1:03:22, 4015.73s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:22:31> Block 31 of 565 complete - 5.49 % - created peptides 121,136 \n" + "2022-03-27 05:24:45> Block 31 of 565 complete - 5.49 % - created peptides 154,758 - total peptides 4,639,628 \n" ] }, { @@ -7804,14 +7778,14 @@ "output_type": "stream", "text": [ "\r", - " 5%|███▍ | 0.05486725663716814/1 [04:32<1:09:14, 4395.55s/it]" + " 5%|███▍ | 0.05486725663716814/1 [04:17<1:05:27, 4155.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:22:40> Block 32 of 565 complete - 5.66 % - created peptides 154,758 \n" + "2022-03-27 05:24:53> Block 32 of 565 complete - 5.66 % - created peptides 137,790 - total peptides 4,777,418 \n" ] }, { @@ -7819,14 +7793,14 @@ "output_type": "stream", "text": [ "\r", - " 6%|███▌ | 0.05663716814159292/1 [04:39<1:07:26, 4289.67s/it]" + " 6%|███▌ | 0.05663716814159292/1 [04:25<1:06:35, 4235.17s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:22:47> Block 33 of 565 complete - 5.84 % - created peptides 137,790 \n" + "2022-03-27 05:25:01> Block 33 of 565 complete - 5.84 % - created peptides 154,300 - total peptides 4,931,718 \n" ] }, { @@ -7834,14 +7808,14 @@ "output_type": "stream", "text": [ "\r", - " 6%|███▋ | 0.0584070796460177/1 [04:45<1:03:45, 4062.90s/it]" + " 6%|███▋ | 0.0584070796460177/1 [04:31<1:01:57, 3948.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:22:53> Block 34 of 565 complete - 6.02 % - created peptides 170,866 \n" + "2022-03-27 05:25:07> Block 34 of 565 complete - 6.02 % - created peptides 170,866 - total peptides 5,102,584 \n" ] }, { @@ -7849,14 +7823,14 @@ "output_type": "stream", "text": [ "\r", - " 6%|███▋ | 0.06017699115044248/1 [04:54<1:06:11, 4225.54s/it]" + " 6%|███▋ | 0.06017699115044248/1 [04:38<1:02:27, 3987.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:23:01> Block 35 of 565 complete - 6.19 % - created peptides 175,244 \n" + "2022-03-27 05:25:14> Block 35 of 565 complete - 6.19 % - created peptides 175,244 - total peptides 5,277,828 \n" ] }, { @@ -7864,14 +7838,14 @@ "output_type": "stream", "text": [ "\r", - " 6%|███▊ | 0.061946902654867256/1 [05:00<1:02:49, 4018.37s/it]" + " 6%|███▊ | 0.061946902654867256/1 [04:46<1:05:35, 4195.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:23:07> Block 36 of 565 complete - 6.37 % - created peptides 140,236 \n" + "2022-03-27 05:25:23> Block 36 of 565 complete - 6.37 % - created peptides 162,576 - total peptides 5,440,404 \n" ] }, { @@ -7879,14 +7853,14 @@ "output_type": "stream", "text": [ "\r", - " 6%|███▉ | 0.06371681415929203/1 [05:09<1:07:47, 4344.47s/it]" + " 6%|███▉ | 0.06371681415929203/1 [04:52<1:01:21, 3932.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:23:16> Block 37 of 565 complete - 6.55 % - created peptides 162,576 \n" + "2022-03-27 05:25:28> Block 37 of 565 complete - 6.55 % - created peptides 163,048 - total peptides 5,603,452 \n" ] }, { @@ -7894,14 +7868,14 @@ "output_type": "stream", "text": [ "\r", - " 7%|████ | 0.06548672566371681/1 [05:18<1:12:24, 4649.03s/it]" + " 7%|████ | 0.06548672566371681/1 [05:00<1:05:21, 4196.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:23:26> Block 38 of 565 complete - 6.73 % - created peptides 163,048 \n" + "2022-03-27 05:25:37> Block 38 of 565 complete - 6.73 % - created peptides 213,430 - total peptides 5,816,882 \n" ] }, { @@ -7909,14 +7883,14 @@ "output_type": "stream", "text": [ "\r", - " 7%|████▏ | 0.06725663716814159/1 [05:24<1:06:14, 4261.41s/it]" + " 7%|████▏ | 0.06725663716814159/1 [05:10<1:10:42, 4548.22s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:23:32> Block 39 of 565 complete - 6.90 % - created peptides 195,068 \n" + "2022-03-27 05:25:46> Block 39 of 565 complete - 6.90 % - created peptides 195,068 - total peptides 6,011,950 \n" ] }, { @@ -7924,14 +7898,14 @@ "output_type": "stream", "text": [ "\r", - " 7%|████▎ | 0.06902654867256637/1 [05:35<1:13:29, 4736.63s/it]" + " 7%|████▎ | 0.06902654867256637/1 [05:16<1:05:08, 4198.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:23:42> Block 40 of 565 complete - 7.08 % - created peptides 213,430 \n" + "2022-03-27 05:25:52> Block 40 of 565 complete - 7.08 % - created peptides 191,214 - total peptides 6,203,164 \n" ] }, { @@ -7939,14 +7913,14 @@ "output_type": "stream", "text": [ "\r", - " 7%|████▍ | 0.07079646017699115/1 [05:45<1:17:22, 4996.58s/it]" + " 7%|████▍ | 0.07079646017699115/1 [05:25<1:08:42, 4436.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:23:52> Block 41 of 565 complete - 7.26 % - created peptides 204,414 \n" + "2022-03-27 05:26:01> Block 41 of 565 complete - 7.26 % - created peptides 204,414 - total peptides 6,407,578 \n" ] }, { @@ -7954,14 +7928,14 @@ "output_type": "stream", "text": [ "\r", - " 7%|████▍ | 0.07256637168141593/1 [05:51<1:11:58, 4656.03s/it]" + " 7%|████▍ | 0.07256637168141593/1 [05:32<1:06:14, 4285.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:23:59> Block 42 of 565 complete - 7.43 % - created peptides 201,018 \n" + "2022-03-27 05:26:08> Block 42 of 565 complete - 7.43 % - created peptides 187,616 - total peptides 6,595,194 \n" ] }, { @@ -7969,14 +7943,14 @@ "output_type": "stream", "text": [ "\r", - " 7%|████▋ | 0.0743362831858407/1 [06:01<1:15:12, 4875.35s/it]" + " 7%|████▋ | 0.0743362831858407/1 [05:41<1:10:22, 4562.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:24:08> Block 43 of 565 complete - 7.61 % - created peptides 187,616 \n" + "2022-03-27 05:26:17> Block 43 of 565 complete - 7.61 % - created peptides 222,436 - total peptides 6,817,630 \n" ] }, { @@ -7984,14 +7958,14 @@ "output_type": "stream", "text": [ "\r", - " 8%|████▋ | 0.07610619469026549/1 [06:11<1:18:43, 5112.37s/it]" + " 8%|████▋ | 0.07610619469026549/1 [05:50<1:12:45, 4725.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:24:18> Block 44 of 565 complete - 7.79 % - created peptides 191,214 \n" + "2022-03-27 05:26:26> Block 44 of 565 complete - 7.79 % - created peptides 196,864 - total peptides 7,014,494 \n" ] }, { @@ -7999,14 +7973,14 @@ "output_type": "stream", "text": [ "\r", - " 8%|████▊ | 0.07787610619469026/1 [06:18<1:14:16, 4832.64s/it]" + " 8%|████▊ | 0.07787610619469026/1 [05:56<1:07:07, 4367.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:24:26> Block 45 of 565 complete - 7.96 % - created peptides 196,864 \n" + "2022-03-27 05:26:33> Block 45 of 565 complete - 7.96 % - created peptides 202,470 - total peptides 7,216,964 \n" ] }, { @@ -8014,14 +7988,14 @@ "output_type": "stream", "text": [ "\r", - " 8%|████▉ | 0.07964601769911504/1 [06:29<1:20:39, 5258.28s/it]" + " 8%|████▉ | 0.07964601769911504/1 [06:05<1:10:22, 4588.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:24:37> Block 46 of 565 complete - 8.14 % - created peptides 222,436 \n" + "2022-03-27 05:26:42> Block 46 of 565 complete - 8.14 % - created peptides 201,018 - total peptides 7,417,982 \n" ] }, { @@ -8029,14 +8003,14 @@ "output_type": "stream", "text": [ "\r", - " 8%|█████ | 0.08141592920353982/1 [06:37<1:17:04, 5034.67s/it]" + " 8%|█████ | 0.08141592920353982/1 [06:12<1:07:59, 4441.50s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:24:45> Block 47 of 565 complete - 8.32 % - created peptides 171,728 \n" + "2022-03-27 05:26:49> Block 47 of 565 complete - 8.32 % - created peptides 140,236 - total peptides 7,558,218 \n" ] }, { @@ -8044,14 +8018,14 @@ "output_type": "stream", "text": [ "\r", - " 8%|█████▏ | 0.0831858407079646/1 [06:48<1:21:50, 5356.43s/it]" + " 8%|█████▏ | 0.0831858407079646/1 [06:21<1:09:11, 4527.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:24:56> Block 48 of 565 complete - 8.50 % - created peptides 202,470 \n" + "2022-03-27 05:26:57> Block 48 of 565 complete - 8.50 % - created peptides 141,322 - total peptides 7,699,540 \n" ] }, { @@ -8059,14 +8033,14 @@ "output_type": "stream", "text": [ "\r", - " 8%|█████▎ | 0.08495575221238938/1 [06:55<1:15:11, 4929.88s/it]" + " 8%|█████▎ | 0.08495575221238938/1 [06:28<1:05:32, 4297.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:25:03> Block 49 of 565 complete - 8.67 % - created peptides 141,322 \n" + "2022-03-27 05:27:04> Block 49 of 565 complete - 8.67 % - created peptides 130,982 - total peptides 7,830,522 \n" ] }, { @@ -8074,14 +8048,14 @@ "output_type": "stream", "text": [ "\r", - " 9%|█████▍ | 0.08672566371681416/1 [07:06<1:21:14, 5337.63s/it]" + " 9%|█████▍ | 0.08672566371681416/1 [06:36<1:08:30, 4501.25s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:25:14> Block 50 of 565 complete - 8.85 % - created peptides 130,982 \n" + "2022-03-27 05:27:13> Block 50 of 565 complete - 8.85 % - created peptides 171,728 - total peptides 8,002,250 \n" ] }, { @@ -8089,14 +8063,14 @@ "output_type": "stream", "text": [ "\r", - " 9%|█████▍ | 0.08849557522123894/1 [07:13<1:14:34, 4908.95s/it]" + " 9%|█████▍ | 0.08849557522123894/1 [06:47<1:14:20, 4893.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:25:21> Block 51 of 565 complete - 9.03 % - created peptides 133,064 \n" + "2022-03-27 05:27:23> Block 51 of 565 complete - 9.03 % - created peptides 133,064 - total peptides 8,135,314 \n" ] }, { @@ -8104,14 +8078,14 @@ "output_type": "stream", "text": [ "\r", - " 9%|█████▌ | 0.09026548672566372/1 [07:23<1:18:29, 5177.15s/it]" + " 9%|█████▌ | 0.09026548672566372/1 [06:54<1:10:03, 4620.64s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:25:31> Block 52 of 565 complete - 9.20 % - created peptides 152,268 \n" + "2022-03-27 05:27:30> Block 52 of 565 complete - 9.20 % - created peptides 152,268 - total peptides 8,287,582 \n" ] }, { @@ -8119,14 +8093,14 @@ "output_type": "stream", "text": [ "\r", - " 9%|█████▊ | 0.0920353982300885/1 [07:31<1:13:32, 4859.89s/it]" + " 9%|█████▊ | 0.0920353982300885/1 [07:04<1:15:22, 4980.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:25:38> Block 53 of 565 complete - 9.38 % - created peptides 189,826 \n" + "2022-03-27 05:27:40> Block 53 of 565 complete - 9.38 % - created peptides 189,826 - total peptides 8,477,408 \n" ] }, { @@ -8134,14 +8108,14 @@ "output_type": "stream", "text": [ "\r", - " 9%|█████▊ | 0.09380530973451327/1 [07:38<1:10:20, 4657.36s/it]" + " 9%|█████▊ | 0.09380530973451327/1 [07:11<1:10:15, 4652.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:25:46> Block 54 of 565 complete - 9.56 % - created peptides 165,186 \n" + "2022-03-27 05:27:47> Block 54 of 565 complete - 9.56 % - created peptides 165,186 - total peptides 8,642,594 \n" ] }, { @@ -8149,14 +8123,14 @@ "output_type": "stream", "text": [ "\r", - " 10%|█████▉ | 0.09557522123893805/1 [07:49<1:15:35, 5014.55s/it]" + " 10%|█████▉ | 0.09557522123893805/1 [07:21<1:14:24, 4936.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:25:56> Block 55 of 565 complete - 9.73 % - created peptides 143,892 \n" + "2022-03-27 05:27:57> Block 55 of 565 complete - 9.73 % - created peptides 143,892 - total peptides 8,786,486 \n" ] }, { @@ -8164,14 +8138,14 @@ "output_type": "stream", "text": [ "\r", - " 10%|██████ | 0.09734513274336283/1 [07:56<1:12:50, 4841.69s/it]" + " 10%|██████ | 0.09734513274336283/1 [07:27<1:09:09, 4597.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:26:04> Block 56 of 565 complete - 9.91 % - created peptides 182,464 \n" + "2022-03-27 05:28:04> Block 56 of 565 complete - 9.91 % - created peptides 182,464 - total peptides 8,968,950 \n" ] }, { @@ -8179,14 +8153,14 @@ "output_type": "stream", "text": [ "\r", - " 10%|██████▏ | 0.09911504424778761/1 [08:08<1:19:12, 5275.75s/it]" + " 10%|██████▏ | 0.09911504424778761/1 [07:37<1:13:16, 4880.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:26:15> Block 57 of 565 complete - 10.09 % - created peptides 161,246 \n" + "2022-03-27 05:28:14> Block 57 of 565 complete - 10.09 % - created peptides 161,246 - total peptides 9,130,196 \n" ] }, { @@ -8194,14 +8168,14 @@ "output_type": "stream", "text": [ "\r", - " 10%|██████▎ | 0.10088495575221239/1 [08:16<1:17:16, 5157.14s/it]" + " 10%|██████▎ | 0.10088495575221239/1 [07:45<1:09:54, 4665.57s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:26:24> Block 58 of 565 complete - 10.27 % - created peptides 189,334 \n" + "2022-03-27 05:28:21> Block 58 of 565 complete - 10.27 % - created peptides 199,296 - total peptides 9,329,492 \n" ] }, { @@ -8209,14 +8183,14 @@ "output_type": "stream", "text": [ "\r", - " 10%|██████▎ | 0.10265486725663717/1 [08:28<1:22:44, 5532.28s/it]" + " 10%|██████▎ | 0.10265486725663717/1 [07:51<1:06:09, 4423.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:26:35> Block 59 of 565 complete - 10.44 % - created peptides 135,004 \n" + "2022-03-27 05:28:28> Block 59 of 565 complete - 10.44 % - created peptides 135,004 - total peptides 9,464,496 \n" ] }, { @@ -8224,14 +8198,14 @@ "output_type": "stream", "text": [ "\r", - " 10%|██████▍ | 0.10442477876106195/1 [08:35<1:15:31, 5060.38s/it]" + " 10%|██████▍ | 0.10442477876106195/1 [08:01<1:11:29, 4790.09s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:26:42> Block 60 of 565 complete - 10.62 % - created peptides 199,296 \n" + "2022-03-27 05:28:38> Block 60 of 565 complete - 10.62 % - created peptides 189,334 - total peptides 9,653,830 \n" ] }, { @@ -8239,14 +8213,14 @@ "output_type": "stream", "text": [ "\r", - " 11%|██████▌ | 0.10619469026548672/1 [08:46<1:22:43, 5552.86s/it]" + " 11%|██████▌ | 0.10619469026548672/1 [08:09<1:09:35, 4671.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:26:54> Block 61 of 565 complete - 10.80 % - created peptides 174,664 \n" + "2022-03-27 05:28:46> Block 61 of 565 complete - 10.80 % - created peptides 156,708 - total peptides 9,810,538 \n" ] }, { @@ -8254,14 +8228,14 @@ "output_type": "stream", "text": [ "\r", - " 11%|██████▊ | 0.1079646017699115/1 [08:55<1:20:06, 5387.74s/it]" + " 11%|██████▊ | 0.1079646017699115/1 [08:19<1:14:21, 5001.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:27:03> Block 62 of 565 complete - 10.97 % - created peptides 156,708 \n" + "2022-03-27 05:28:56> Block 62 of 565 complete - 10.97 % - created peptides 160,398 - total peptides 9,970,936 \n" ] }, { @@ -8269,14 +8243,14 @@ "output_type": "stream", "text": [ "\r", - " 11%|██████▊ | 0.10973451327433628/1 [09:03<1:14:24, 5014.40s/it]" + " 11%|██████▊ | 0.10973451327433628/1 [08:26<1:09:24, 4677.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:27:10> Block 63 of 565 complete - 11.15 % - created peptides 160,398 \n" + "2022-03-27 05:29:03> Block 63 of 565 complete - 11.15 % - created peptides 174,664 - total peptides 10,145,600 \n" ] }, { @@ -8284,14 +8258,14 @@ "output_type": "stream", "text": [ "\r", - " 11%|██████▉ | 0.11150442477876106/1 [09:14<1:21:11, 5483.32s/it]" + " 11%|██████▉ | 0.11150442477876106/1 [08:38<1:17:03, 5204.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:27:22> Block 64 of 565 complete - 11.33 % - created peptides 173,966 \n" + "2022-03-27 05:29:14> Block 64 of 565 complete - 11.33 % - created peptides 173,966 - total peptides 10,319,566 \n" ] }, { @@ -8299,14 +8273,14 @@ "output_type": "stream", "text": [ "\r", - " 11%|███████ | 0.11327433628318584/1 [09:22<1:15:29, 5108.40s/it]" + " 11%|███████ | 0.11327433628318584/1 [08:45<1:12:17, 4892.14s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:27:29> Block 65 of 565 complete - 11.50 % - created peptides 158,858 \n" + "2022-03-27 05:29:22> Block 65 of 565 complete - 11.50 % - created peptides 165,648 - total peptides 10,485,214 \n" ] }, { @@ -8314,14 +8288,14 @@ "output_type": "stream", "text": [ "\r", - " 12%|███████▏ | 0.11504424778761062/1 [09:34<1:23:33, 5664.91s/it]" + " 12%|███████▏ | 0.11504424778761062/1 [08:52<1:08:03, 4614.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:27:42> Block 66 of 565 complete - 11.68 % - created peptides 165,648 \n" + "2022-03-27 05:29:29> Block 66 of 565 complete - 11.68 % - created peptides 190,250 - total peptides 10,675,464 \n" ] }, { @@ -8329,14 +8303,14 @@ "output_type": "stream", "text": [ "\r", - " 12%|███████▎ | 0.1168141592920354/1 [09:42<1:17:54, 5293.14s/it]" + " 12%|███████▎ | 0.1168141592920354/1 [09:03<1:15:24, 5122.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:27:49> Block 67 of 565 complete - 11.86 % - created peptides 200,822 \n" + "2022-03-27 05:29:40> Block 67 of 565 complete - 11.86 % - created peptides 215,492 - total peptides 10,890,956 \n" ] }, { @@ -8344,14 +8318,14 @@ "output_type": "stream", "text": [ "\r", - " 12%|███████▎ | 0.11858407079646018/1 [09:50<1:13:59, 5036.99s/it]" + " 12%|███████▎ | 0.11858407079646018/1 [09:11<1:11:14, 4849.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:27:57> Block 68 of 565 complete - 12.04 % - created peptides 190,250 \n" + "2022-03-27 05:29:47> Block 68 of 565 complete - 12.04 % - created peptides 200,822 - total peptides 11,091,778 \n" ] }, { @@ -8359,14 +8333,14 @@ "output_type": "stream", "text": [ "\r", - " 12%|███████▍ | 0.12035398230088495/1 [10:03<1:23:38, 5705.54s/it]" + " 12%|███████▍ | 0.12035398230088495/1 [09:22<1:17:00, 5252.88s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:28:10> Block 69 of 565 complete - 12.21 % - created peptides 215,492 \n" + "2022-03-27 05:29:58> Block 69 of 565 complete - 12.21 % - created peptides 158,858 - total peptides 11,250,636 \n" ] }, { @@ -8374,14 +8348,14 @@ "output_type": "stream", "text": [ "\r", - " 12%|███████▌ | 0.12212389380530973/1 [10:11<1:18:14, 5347.24s/it]" + " 12%|███████▌ | 0.12212389380530973/1 [09:29<1:11:05, 4859.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:28:18> Block 70 of 565 complete - 12.39 % - created peptides 183,610 \n" + "2022-03-27 05:30:05> Block 70 of 565 complete - 12.39 % - created peptides 138,144 - total peptides 11,388,780 \n" ] }, { @@ -8389,14 +8363,14 @@ "output_type": "stream", "text": [ "\r", - " 12%|███████▋ | 0.12389380530973451/1 [10:19<1:14:53, 5128.95s/it]" + " 12%|███████▋ | 0.12389380530973451/1 [09:40<1:18:43, 5391.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:28:26> Block 71 of 565 complete - 12.57 % - created peptides 138,144 \n" + "2022-03-27 05:30:17> Block 71 of 565 complete - 12.57 % - created peptides 222,302 - total peptides 11,611,082 \n" ] }, { @@ -8404,14 +8378,14 @@ "output_type": "stream", "text": [ "\r", - " 13%|███████▉ | 0.1256637168141593/1 [10:31<1:22:27, 5658.80s/it]" + " 13%|███████▉ | 0.1256637168141593/1 [09:47<1:12:15, 4958.46s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:28:38> Block 72 of 565 complete - 12.74 % - created peptides 222,302 \n" + "2022-03-27 05:30:24> Block 72 of 565 complete - 12.74 % - created peptides 143,006 - total peptides 11,754,088 \n" ] }, { @@ -8419,14 +8393,14 @@ "output_type": "stream", "text": [ "\r", - " 13%|███████▉ | 0.12743362831858407/1 [10:39<1:17:22, 5320.98s/it]" + " 13%|███████▉ | 0.12743362831858407/1 [09:55<1:08:48, 4731.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:28:46> Block 73 of 565 complete - 12.92 % - created peptides 143,006 \n" + "2022-03-27 05:30:31> Block 73 of 565 complete - 12.92 % - created peptides 183,610 - total peptides 11,937,698 \n" ] }, { @@ -8434,14 +8408,14 @@ "output_type": "stream", "text": [ "\r", - " 13%|████████ | 0.12920353982300886/1 [10:47<1:13:07, 5038.54s/it]" + " 13%|████████ | 0.12920353982300886/1 [10:06<1:15:52, 5227.64s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:28:54> Block 74 of 565 complete - 13.10 % - created peptides 216,502 \n" + "2022-03-27 05:30:43> Block 74 of 565 complete - 13.10 % - created peptides 173,962 - total peptides 12,111,660 \n" ] }, { @@ -8449,14 +8423,14 @@ "output_type": "stream", "text": [ "\r", - " 13%|████████ | 0.13097345132743363/1 [10:59<1:20:45, 5575.80s/it]" + " 13%|████████ | 0.13097345132743363/1 [10:14<1:11:15, 4919.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:29:06> Block 75 of 565 complete - 13.27 % - created peptides 173,962 \n" + "2022-03-27 05:30:50> Block 75 of 565 complete - 13.27 % - created peptides 187,876 - total peptides 12,299,536 \n" ] }, { @@ -8464,14 +8438,14 @@ "output_type": "stream", "text": [ "\r", - " 13%|████████▏ | 0.13274336283185842/1 [11:08<1:18:35, 5437.33s/it]" + " 13%|████████▏ | 0.13274336283185842/1 [10:25<1:18:41, 5444.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:29:15> Block 76 of 565 complete - 13.45 % - created peptides 142,022 \n" + "2022-03-27 05:31:02> Block 76 of 565 complete - 13.45 % - created peptides 142,022 - total peptides 12,441,558 \n" ] }, { @@ -8479,14 +8453,14 @@ "output_type": "stream", "text": [ "\r", - " 13%|████████▎ | 0.13451327433628318/1 [11:16<1:15:10, 5211.15s/it]" + " 13%|████████▎ | 0.13451327433628318/1 [10:33<1:12:52, 5051.97s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:29:24> Block 77 of 565 complete - 13.63 % - created peptides 184,144 \n" + "2022-03-27 05:31:09> Block 77 of 565 complete - 13.63 % - created peptides 140,854 - total peptides 12,582,412 \n" ] }, { @@ -8494,14 +8468,14 @@ "output_type": "stream", "text": [ "\r", - " 14%|████████▍ | 0.13628318584070798/1 [11:29<1:24:48, 5891.81s/it]" + " 14%|████████▍ | 0.13628318584070798/1 [10:40<1:08:20, 4747.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:29:37> Block 78 of 565 complete - 13.81 % - created peptides 187,876 \n" + "2022-03-27 05:31:16> Block 78 of 565 complete - 13.81 % - created peptides 184,144 - total peptides 12,766,556 \n" ] }, { @@ -8509,14 +8483,14 @@ "output_type": "stream", "text": [ "\r", - " 14%|████████▌ | 0.13805309734513274/1 [11:38<1:19:03, 5503.19s/it]" + " 14%|████████▌ | 0.13805309734513274/1 [10:52<1:16:52, 5350.69s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:29:45> Block 79 of 565 complete - 13.98 % - created peptides 140,854 \n" + "2022-03-27 05:31:28> Block 79 of 565 complete - 13.98 % - created peptides 216,502 - total peptides 12,983,058 \n" ] }, { @@ -8524,14 +8498,14 @@ "output_type": "stream", "text": [ "\r", - " 14%|████████▋ | 0.13982300884955753/1 [11:51<1:29:03, 6211.65s/it]" + " 14%|████████▋ | 0.13982300884955753/1 [11:00<1:12:24, 5051.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:29:59> Block 80 of 565 complete - 14.16 % - created peptides 168,010 \n" + "2022-03-27 05:31:36> Block 80 of 565 complete - 14.16 % - created peptides 168,010 - total peptides 13,151,068 \n" ] }, { @@ -8539,14 +8513,14 @@ "output_type": "stream", "text": [ "\r", - " 14%|████████▉ | 0.1415929203539823/1 [12:01<1:24:12, 5885.75s/it]" + " 14%|████████▉ | 0.1415929203539823/1 [11:07<1:08:40, 4799.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:30:08> Block 81 of 565 complete - 14.34 % - created peptides 172,948 \n" + "2022-03-27 05:31:44> Block 81 of 565 complete - 14.34 % - created peptides 161,898 - total peptides 13,312,966 \n" ] }, { @@ -8554,14 +8528,14 @@ "output_type": "stream", "text": [ "\r", - " 14%|█████████ | 0.1433628318584071/1 [12:08<1:17:23, 5420.62s/it]" + " 14%|█████████ | 0.1433628318584071/1 [11:20<1:18:40, 5510.50s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:30:16> Block 82 of 565 complete - 14.51 % - created peptides 161,898 \n" + "2022-03-27 05:31:56> Block 82 of 565 complete - 14.51 % - created peptides 172,948 - total peptides 13,485,914 \n" ] }, { @@ -8569,14 +8543,14 @@ "output_type": "stream", "text": [ "\r", - " 15%|████████▉ | 0.14513274336283186/1 [12:17<1:14:19, 5216.42s/it]" + " 15%|████████▉ | 0.14513274336283186/1 [11:27<1:13:35, 5165.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:30:24> Block 83 of 565 complete - 14.69 % - created peptides 133,276 \n" + "2022-03-27 05:32:04> Block 83 of 565 complete - 14.69 % - created peptides 133,276 - total peptides 13,619,190 \n" ] }, { @@ -8584,14 +8558,14 @@ "output_type": "stream", "text": [ "\r", - " 15%|█████████ | 0.14690265486725665/1 [12:30<1:24:07, 5916.91s/it]" + " 15%|█████████ | 0.14690265486725665/1 [11:35<1:09:20, 4877.17s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:30:37> Block 84 of 565 complete - 14.87 % - created peptides 188,838 \n" + "2022-03-27 05:32:11> Block 84 of 565 complete - 14.87 % - created peptides 182,962 - total peptides 13,802,152 \n" ] }, { @@ -8599,14 +8573,14 @@ "output_type": "stream", "text": [ "\r", - " 15%|█████████▎ | 0.1486725663716814/1 [12:39<1:20:24, 5667.47s/it]" + " 15%|█████████▎ | 0.1486725663716814/1 [11:47<1:17:35, 5468.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:30:46> Block 85 of 565 complete - 15.04 % - created peptides 188,166 \n" + "2022-03-27 05:32:23> Block 85 of 565 complete - 15.04 % - created peptides 188,838 - total peptides 13,990,990 \n" ] }, { @@ -8614,14 +8588,14 @@ "output_type": "stream", "text": [ "\r", - " 15%|█████████▍ | 0.1504424778761062/1 [12:47<1:16:16, 5387.19s/it]" + " 15%|█████████▍ | 0.1504424778761062/1 [11:55<1:13:57, 5223.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:30:55> Block 86 of 565 complete - 15.22 % - created peptides 171,836 \n" + "2022-03-27 05:32:32> Block 86 of 565 complete - 15.22 % - created peptides 206,480 - total peptides 14,197,470 \n" ] }, { @@ -8629,14 +8603,14 @@ "output_type": "stream", "text": [ "\r", - " 15%|█████████▍ | 0.15221238938053097/1 [13:00<1:24:19, 5967.47s/it]" + " 15%|█████████▍ | 0.15221238938053097/1 [12:03<1:10:57, 5022.35s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:31:08> Block 87 of 565 complete - 15.40 % - created peptides 182,962 \n" + "2022-03-27 05:32:40> Block 87 of 565 complete - 15.40 % - created peptides 188,166 - total peptides 14,385,636 \n" ] }, { @@ -8644,14 +8618,14 @@ "output_type": "stream", "text": [ "\r", - " 15%|█████████▌ | 0.15398230088495576/1 [13:09<1:19:52, 5664.73s/it]" + " 15%|█████████▌ | 0.15398230088495576/1 [12:11<1:08:07, 4831.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:31:17> Block 88 of 565 complete - 15.58 % - created peptides 151,952 \n" + "2022-03-27 05:32:48> Block 88 of 565 complete - 15.58 % - created peptides 171,836 - total peptides 14,557,472 \n" ] }, { @@ -8659,14 +8633,14 @@ "output_type": "stream", "text": [ "\r", - " 16%|█████████▋ | 0.15575221238938053/1 [13:18<1:16:56, 5468.29s/it]" + " 16%|█████████▋ | 0.15575221238938053/1 [12:24<1:19:16, 5634.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:31:26> Block 89 of 565 complete - 15.75 % - created peptides 206,480 \n" + "2022-03-27 05:33:01> Block 89 of 565 complete - 15.75 % - created peptides 172,096 - total peptides 14,729,568 \n" ] }, { @@ -8674,14 +8648,14 @@ "output_type": "stream", "text": [ "\r", - " 16%|█████████▊ | 0.15752212389380532/1 [13:26<1:13:05, 5204.90s/it]" + " 16%|█████████▊ | 0.15752212389380532/1 [12:32<1:12:58, 5197.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:31:34> Block 90 of 565 complete - 15.93 % - created peptides 172,096 \n" + "2022-03-27 05:33:08> Block 90 of 565 complete - 15.93 % - created peptides 189,902 - total peptides 14,919,470 \n" ] }, { @@ -8689,14 +8663,14 @@ "output_type": "stream", "text": [ "\r", - " 16%|██████████ | 0.1592920353982301/1 [13:41<1:26:35, 6180.06s/it]" + " 16%|██████████ | 0.1592920353982301/1 [12:40<1:10:35, 5037.91s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:31:49> Block 91 of 565 complete - 16.11 % - created peptides 189,902 \n" + "2022-03-27 05:33:16> Block 91 of 565 complete - 16.11 % - created peptides 181,910 - total peptides 15,101,380 \n" ] }, { @@ -8704,14 +8678,14 @@ "output_type": "stream", "text": [ "\r", - " 16%|█████████▉ | 0.16106194690265488/1 [13:50<1:21:51, 5854.03s/it]" + " 16%|█████████▉ | 0.16106194690265488/1 [12:52<1:16:44, 5488.73s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:31:58> Block 92 of 565 complete - 16.28 % - created peptides 181,910 \n" + "2022-03-27 05:33:28> Block 92 of 565 complete - 16.28 % - created peptides 218,424 - total peptides 15,319,804 \n" ] }, { @@ -8719,14 +8693,14 @@ "output_type": "stream", "text": [ "\r", - " 16%|██████████ | 0.16283185840707964/1 [13:58<1:16:52, 5509.09s/it]" + " 16%|██████████ | 0.16283185840707964/1 [12:59<1:11:48, 5146.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:32:06> Block 93 of 565 complete - 16.46 % - created peptides 180,032 \n" + "2022-03-27 05:33:36> Block 93 of 565 complete - 16.46 % - created peptides 151,952 - total peptides 15,471,756 \n" ] }, { @@ -8734,14 +8708,14 @@ "output_type": "stream", "text": [ "\r", - " 16%|██████████▏ | 0.16460176991150444/1 [14:12<1:26:35, 6219.75s/it]" + " 16%|██████████▏ | 0.16460176991150444/1 [13:07<1:07:27, 4844.70s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:32:20> Block 94 of 565 complete - 16.64 % - created peptides 218,424 \n" + "2022-03-27 05:33:43> Block 94 of 565 complete - 16.64 % - created peptides 141,060 - total peptides 15,612,816 \n" ] }, { @@ -8749,14 +8723,14 @@ "output_type": "stream", "text": [ "\r", - " 17%|██████████▍ | 0.1663716814159292/1 [14:22<1:22:42, 5953.49s/it]" + " 17%|██████████▍ | 0.1663716814159292/1 [13:19<1:17:14, 5559.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:32:29> Block 95 of 565 complete - 16.81 % - created peptides 168,326 \n" + "2022-03-27 05:33:56> Block 95 of 565 complete - 16.81 % - created peptides 180,032 - total peptides 15,792,848 \n" ] }, { @@ -8764,14 +8738,14 @@ "output_type": "stream", "text": [ "\r", - " 17%|██████████▊ | 0.168141592920354/1 [14:31<1:18:53, 5690.42s/it]" + " 17%|██████████▊ | 0.168141592920354/1 [13:28<1:14:38, 5383.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:32:38> Block 96 of 565 complete - 16.99 % - created peptides 141,060 \n" + "2022-03-27 05:34:05> Block 96 of 565 complete - 16.99 % - created peptides 168,326 - total peptides 15,961,174 \n" ] }, { @@ -8779,14 +8753,14 @@ "output_type": "stream", "text": [ "\r", - " 17%|██████████▌ | 0.16991150442477876/1 [14:39<1:13:26, 5308.56s/it]" + " 17%|██████████▌ | 0.16991150442477876/1 [13:36<1:09:48, 5045.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:32:46> Block 97 of 565 complete - 17.17 % - created peptides 140,828 \n" + "2022-03-27 05:34:12> Block 97 of 565 complete - 17.17 % - created peptides 140,828 - total peptides 16,102,002 \n" ] }, { @@ -8794,14 +8768,14 @@ "output_type": "stream", "text": [ "\r", - " 17%|██████████▋ | 0.17168141592920355/1 [14:54<1:27:41, 6352.56s/it]" + " 17%|██████████▋ | 0.17168141592920355/1 [13:49<1:19:56, 5790.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:33:02> Block 98 of 565 complete - 17.35 % - created peptides 176,630 \n" + "2022-03-27 05:34:26> Block 98 of 565 complete - 17.35 % - created peptides 177,552 - total peptides 16,279,554 \n" ] }, { @@ -8809,14 +8783,14 @@ "output_type": "stream", "text": [ "\r", - " 17%|██████████▊ | 0.17345132743362832/1 [15:02<1:19:45, 5789.32s/it]" + " 17%|██████████▊ | 0.17345132743362832/1 [13:57<1:13:38, 5345.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:33:10> Block 99 of 565 complete - 17.52 % - created peptides 177,552 \n" + "2022-03-27 05:34:33> Block 99 of 565 complete - 17.52 % - created peptides 152,714 - total peptides 16,432,268 \n" ] }, { @@ -8824,14 +8798,14 @@ "output_type": "stream", "text": [ "\r", - " 18%|███████████ | 0.1752212389380531/1 [15:11<1:17:35, 5644.43s/it]" + " 18%|███████████ | 0.1752212389380531/1 [14:05<1:10:35, 5135.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:33:19> Block 100 of 565 complete - 17.70 % - created peptides 135,948 \n" + "2022-03-27 05:34:41> Block 100 of 565 complete - 17.70 % - created peptides 135,948 - total peptides 16,568,216 \n" ] }, { @@ -8839,14 +8813,14 @@ "output_type": "stream", "text": [ "\r", - " 18%|██████████▉ | 0.17699115044247787/1 [15:19<1:11:57, 5246.34s/it]" + " 18%|██████████▉ | 0.17699115044247787/1 [14:12<1:06:03, 4815.60s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:33:27> Block 101 of 565 complete - 17.88 % - created peptides 152,714 \n" + "2022-03-27 05:34:49> Block 101 of 565 complete - 17.88 % - created peptides 176,630 - total peptides 16,744,846 \n" ] }, { @@ -8854,14 +8828,14 @@ "output_type": "stream", "text": [ "\r", - " 18%|███████████ | 0.17876106194690267/1 [15:35<1:27:00, 6357.06s/it]" + " 18%|███████████ | 0.17876106194690267/1 [14:27<1:19:57, 5841.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:33:42> Block 102 of 565 complete - 18.05 % - created peptides 138,972 \n" + "2022-03-27 05:35:03> Block 102 of 565 complete - 18.05 % - created peptides 138,972 - total peptides 16,883,818 \n" ] }, { @@ -8869,14 +8843,14 @@ "output_type": "stream", "text": [ "\r", - " 18%|███████████▏ | 0.18053097345132743/1 [15:44<1:21:29, 5967.18s/it]" + " 18%|███████████▏ | 0.18053097345132743/1 [14:35<1:15:07, 5500.73s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:33:51> Block 103 of 565 complete - 18.23 % - created peptides 189,776 \n" + "2022-03-27 05:35:11> Block 103 of 565 complete - 18.23 % - created peptides 178,660 - total peptides 17,062,478 \n" ] }, { @@ -8884,14 +8858,14 @@ "output_type": "stream", "text": [ "\r", - " 18%|███████████▎ | 0.18230088495575222/1 [15:53<1:17:14, 5667.46s/it]" + " 18%|███████████▎ | 0.18230088495575222/1 [14:43<1:11:37, 5255.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:34:00> Block 104 of 565 complete - 18.41 % - created peptides 178,660 \n" + "2022-03-27 05:35:20> Block 104 of 565 complete - 18.41 % - created peptides 189,776 - total peptides 17,252,254 \n" ] }, { @@ -8899,14 +8873,14 @@ "output_type": "stream", "text": [ "\r", - " 18%|███████████▊ | 0.184070796460177/1 [16:01<1:13:29, 5404.55s/it]" + " 18%|███████████▊ | 0.184070796460177/1 [14:57<1:20:37, 5929.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:34:09> Block 105 of 565 complete - 18.58 % - created peptides 164,136 \n" + "2022-03-27 05:35:33> Block 105 of 565 complete - 18.58 % - created peptides 164,136 - total peptides 17,416,390 \n" ] }, { @@ -8914,14 +8888,14 @@ "output_type": "stream", "text": [ "\r", - " 19%|███████████▌ | 0.18584070796460178/1 [16:17<1:26:56, 6407.49s/it]" + " 19%|███████████▌ | 0.18584070796460178/1 [15:05<1:15:12, 5542.45s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:34:24> Block 106 of 565 complete - 18.76 % - created peptides 171,656 \n" + "2022-03-27 05:35:41> Block 106 of 565 complete - 18.76 % - created peptides 171,656 - total peptides 17,588,046 \n" ] }, { @@ -8929,14 +8903,14 @@ "output_type": "stream", "text": [ "\r", - " 19%|███████████▋ | 0.18761061946902655/1 [16:25<1:20:40, 5958.06s/it]" + " 19%|███████████▋ | 0.18761061946902655/1 [15:12<1:10:04, 5174.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:34:33> Block 107 of 565 complete - 18.94 % - created peptides 147,870 \n" + "2022-03-27 05:35:49> Block 107 of 565 complete - 18.94 % - created peptides 147,870 - total peptides 17,735,916 \n" ] }, { @@ -8944,14 +8918,14 @@ "output_type": "stream", "text": [ "\r", - " 19%|███████████▋ | 0.18938053097345134/1 [16:35<1:19:12, 5863.39s/it]" + " 19%|███████████▋ | 0.18938053097345134/1 [15:20<1:07:10, 4972.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:34:43> Block 108 of 565 complete - 19.12 % - created peptides 148,240 \n" + "2022-03-27 05:35:57> Block 108 of 565 complete - 19.12 % - created peptides 148,240 - total peptides 17,884,156 \n" ] }, { @@ -8959,14 +8933,14 @@ "output_type": "stream", "text": [ "\r", - " 19%|████████████ | 0.1911504424778761/1 [16:45<1:17:24, 5741.70s/it]" + " 19%|████████████ | 0.1911504424778761/1 [15:34<1:18:43, 5840.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:34:53> Block 109 of 565 complete - 19.29 % - created peptides 150,876 \n" + "2022-03-27 05:36:11> Block 109 of 565 complete - 19.29 % - created peptides 150,876 - total peptides 18,035,032 \n" ] }, { @@ -8974,14 +8948,14 @@ "output_type": "stream", "text": [ "\r", - " 19%|████████████▏ | 0.1929203539823009/1 [17:01<1:30:25, 6722.04s/it]" + " 19%|████████████▏ | 0.1929203539823009/1 [15:43<1:15:16, 5595.69s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:35:08> Block 110 of 565 complete - 19.47 % - created peptides 146,788 \n" + "2022-03-27 05:36:20> Block 110 of 565 complete - 19.47 % - created peptides 160,086 - total peptides 18,195,118 \n" ] }, { @@ -8989,14 +8963,14 @@ "output_type": "stream", "text": [ "\r", - " 19%|████████████ | 0.19469026548672566/1 [17:09<1:22:03, 6114.40s/it]" + " 19%|████████████ | 0.19469026548672566/1 [15:51<1:10:57, 5286.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:35:17> Block 111 of 565 complete - 19.65 % - created peptides 139,898 \n" + "2022-03-27 05:36:28> Block 111 of 565 complete - 19.65 % - created peptides 146,788 - total peptides 18,341,906 \n" ] }, { @@ -9004,14 +8978,14 @@ "output_type": "stream", "text": [ "\r", - " 20%|████████████▏ | 0.19646017699115045/1 [17:18<1:17:20, 5775.03s/it]" + " 20%|████████████▏ | 0.19646017699115045/1 [15:59<1:06:35, 4972.88s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:35:26> Block 112 of 565 complete - 19.82 % - created peptides 142,926 \n" + "2022-03-27 05:36:35> Block 112 of 565 complete - 19.82 % - created peptides 139,898 - total peptides 18,481,804 \n" ] }, { @@ -9019,14 +8993,14 @@ "output_type": "stream", "text": [ "\r", - " 20%|████████████▎ | 0.19823008849557522/1 [17:27<1:14:01, 5540.10s/it]" + " 20%|████████████▎ | 0.19823008849557522/1 [16:12<1:16:26, 5720.70s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:35:34> Block 113 of 565 complete - 20.00 % - created peptides 160,086 \n" + "2022-03-27 05:36:48> Block 113 of 565 complete - 20.00 % - created peptides 147,692 - total peptides 18,629,496 \n" ] }, { @@ -9034,14 +9008,14 @@ "output_type": "stream", "text": [ "\r", - " 20%|███████████████▌ | 0.2/1 [17:44<1:31:37, 6871.93s/it]" + " 20%|███████████████▌ | 0.2/1 [16:20<1:11:41, 5376.89s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:35:52> Block 114 of 565 complete - 20.18 % - created peptides 147,692 \n" + "2022-03-27 05:36:57> Block 114 of 565 complete - 20.18 % - created peptides 199,310 - total peptides 18,828,806 \n" ] }, { @@ -9049,14 +9023,14 @@ "output_type": "stream", "text": [ "\r", - " 20%|████████████▌ | 0.20176991150442478/1 [17:53<1:23:57, 6310.32s/it]" + " 20%|████████████▌ | 0.20176991150442478/1 [16:28<1:08:53, 5178.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:36:01> Block 115 of 565 complete - 20.35 % - created peptides 199,310 \n" + "2022-03-27 05:37:05> Block 115 of 565 complete - 20.35 % - created peptides 142,926 - total peptides 18,971,732 \n" ] }, { @@ -9064,14 +9038,14 @@ "output_type": "stream", "text": [ "\r", - " 20%|████████████▌ | 0.20353982300884957/1 [18:02<1:18:32, 5917.32s/it]" + " 20%|████████████▌ | 0.20353982300884957/1 [16:37<1:06:18, 4994.96s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:36:10> Block 116 of 565 complete - 20.53 % - created peptides 170,276 \n" + "2022-03-27 05:37:13> Block 116 of 565 complete - 20.53 % - created peptides 170,276 - total peptides 19,142,008 \n" ] }, { @@ -9079,14 +9053,14 @@ "output_type": "stream", "text": [ "\r", - " 21%|████████████▋ | 0.20530973451327433/1 [18:12<1:16:06, 5746.08s/it]" + " 21%|████████████▋ | 0.20530973451327433/1 [16:52<1:21:26, 6148.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:36:19> Block 117 of 565 complete - 20.71 % - created peptides 138,430 \n" + "2022-03-27 05:37:29> Block 117 of 565 complete - 20.71 % - created peptides 138,430 - total peptides 19,280,438 \n" ] }, { @@ -9094,14 +9068,14 @@ "output_type": "stream", "text": [ "\r", - " 21%|████████████▊ | 0.20707964601769913/1 [18:20<1:11:26, 5405.94s/it]" + " 21%|████████████▊ | 0.20707964601769913/1 [17:00<1:14:45, 5657.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:36:27> Block 118 of 565 complete - 20.88 % - created peptides 211,128 \n" + "2022-03-27 05:37:37> Block 118 of 565 complete - 20.88 % - created peptides 211,128 - total peptides 19,491,566 \n" ] }, { @@ -9109,14 +9083,14 @@ "output_type": "stream", "text": [ "\r", - " 21%|█████████████▏ | 0.2088495575221239/1 [18:36<1:26:52, 6587.93s/it]" + " 21%|█████████████▏ | 0.2088495575221239/1 [17:09<1:11:22, 5412.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:36:44> Block 119 of 565 complete - 21.06 % - created peptides 150,574 \n" + "2022-03-27 05:37:45> Block 119 of 565 complete - 21.06 % - created peptides 229,916 - total peptides 19,721,482 \n" ] }, { @@ -9124,14 +9098,14 @@ "output_type": "stream", "text": [ "\r", - " 21%|█████████████ | 0.21061946902654868/1 [18:45<1:20:43, 6135.44s/it]" + " 21%|█████████████ | 0.21061946902654868/1 [17:16<1:07:08, 5103.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:36:53> Block 120 of 565 complete - 21.24 % - created peptides 145,702 \n" + "2022-03-27 05:37:53> Block 120 of 565 complete - 21.24 % - created peptides 150,574 - total peptides 19,872,056 \n" ] }, { @@ -9139,14 +9113,14 @@ "output_type": "stream", "text": [ "\r", - " 21%|█████████████▏ | 0.21238938053097345/1 [18:54<1:16:27, 5824.56s/it]" + " 21%|█████████████▏ | 0.21238938053097345/1 [17:31<1:19:16, 6039.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:37:02> Block 121 of 565 complete - 21.42 % - created peptides 213,894 \n" + "2022-03-27 05:38:08> Block 121 of 565 complete - 21.42 % - created peptides 145,702 - total peptides 20,017,758 \n" ] }, { @@ -9154,14 +9128,14 @@ "output_type": "stream", "text": [ "\r", - " 21%|█████████████▎ | 0.21415929203539824/1 [19:04<1:14:25, 5682.31s/it]" + " 21%|█████████████▎ | 0.21415929203539824/1 [17:39<1:13:27, 5608.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:37:11> Block 122 of 565 complete - 21.59 % - created peptides 110,270 \n" + "2022-03-27 05:38:16> Block 122 of 565 complete - 21.59 % - created peptides 213,894 - total peptides 20,231,652 \n" ] }, { @@ -9169,14 +9143,14 @@ "output_type": "stream", "text": [ "\r", - " 22%|█████████████▊ | 0.215929203539823/1 [19:13<1:12:43, 5565.54s/it]" + " 22%|█████████████▊ | 0.215929203539823/1 [17:48<1:09:46, 5339.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:37:21> Block 123 of 565 complete - 21.77 % - created peptides 202,146 \n" + "2022-03-27 05:38:24> Block 123 of 565 complete - 21.77 % - created peptides 110,270 - total peptides 20,341,922 \n" ] }, { @@ -9184,14 +9158,14 @@ "output_type": "stream", "text": [ "\r", - " 22%|█████████████▋ | 0.2176991150442478/1 [19:30<1:26:59, 6672.40s/it]" + " 22%|█████████████▋ | 0.2176991150442478/1 [17:57<1:08:46, 5274.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:37:37> Block 124 of 565 complete - 21.95 % - created peptides 229,916 \n" + "2022-03-27 05:38:33> Block 124 of 565 complete - 21.95 % - created peptides 184,132 - total peptides 20,526,054 \n" ] }, { @@ -9199,14 +9173,14 @@ "output_type": "stream", "text": [ "\r", - " 22%|█████████████▌ | 0.21946902654867256/1 [19:38<1:19:10, 6086.74s/it]" + " 22%|█████████████▌ | 0.21946902654867256/1 [18:04<1:04:42, 4973.86s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:37:45> Block 125 of 565 complete - 22.12 % - created peptides 184,132 \n" + "2022-03-27 05:38:41> Block 125 of 565 complete - 22.12 % - created peptides 166,116 - total peptides 20,692,170 \n" ] }, { @@ -9214,14 +9188,14 @@ "output_type": "stream", "text": [ "\r", - " 22%|█████████████▋ | 0.22123893805309736/1 [19:47<1:15:44, 5835.30s/it]" + " 22%|█████████████▋ | 0.22123893805309736/1 [18:19<1:18:43, 6064.86s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:37:55> Block 126 of 565 complete - 22.30 % - created peptides 166,116 \n" + "2022-03-27 05:38:56> Block 126 of 565 complete - 22.30 % - created peptides 179,964 - total peptides 20,872,134 \n" ] }, { @@ -9229,14 +9203,14 @@ "output_type": "stream", "text": [ "\r", - " 22%|█████████████▊ | 0.22300884955752212/1 [19:56<1:11:47, 5543.31s/it]" + " 22%|█████████████▊ | 0.22300884955752212/1 [18:27<1:10:35, 5451.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:38:03> Block 127 of 565 complete - 22.48 % - created peptides 179,964 \n" + "2022-03-27 05:39:03> Block 127 of 565 complete - 22.48 % - created peptides 202,146 - total peptides 21,074,280 \n" ] }, { @@ -9244,14 +9218,14 @@ "output_type": "stream", "text": [ "\r", - " 22%|██████████████▏ | 0.2247787610619469/1 [20:05<1:09:56, 5413.62s/it]" + " 22%|██████████████▏ | 0.2247787610619469/1 [18:35<1:08:02, 5266.04s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:38:12> Block 128 of 565 complete - 22.65 % - created peptides 171,646 \n" + "2022-03-27 05:39:12> Block 128 of 565 complete - 22.65 % - created peptides 171,646 - total peptides 21,245,926 \n" ] }, { @@ -9259,14 +9233,14 @@ "output_type": "stream", "text": [ "\r", - " 23%|██████████████ | 0.22654867256637168/1 [20:23<1:29:00, 6904.87s/it]" + " 23%|██████████████ | 0.22654867256637168/1 [18:44<1:06:07, 5129.35s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:38:31> Block 129 of 565 complete - 22.83 % - created peptides 150,452 \n" + "2022-03-27 05:39:20> Block 129 of 565 complete - 22.83 % - created peptides 180,832 - total peptides 21,426,758 \n" ] }, { @@ -9274,14 +9248,14 @@ "output_type": "stream", "text": [ "\r", - " 23%|██████████████▏ | 0.22831858407079647/1 [20:32<1:22:09, 6387.37s/it]" + " 23%|██████████████▏ | 0.22831858407079647/1 [18:52<1:03:57, 4973.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:38:40> Block 130 of 565 complete - 23.01 % - created peptides 180,832 \n" + "2022-03-27 05:39:28> Block 130 of 565 complete - 23.01 % - created peptides 150,452 - total peptides 21,577,210 \n" ] }, { @@ -9289,14 +9263,14 @@ "output_type": "stream", "text": [ "\r", - " 23%|██████████████▎ | 0.23008849557522124/1 [20:41<1:15:57, 5919.14s/it]" + " 23%|██████████████▎ | 0.23008849557522124/1 [19:08<1:19:38, 6206.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:38:49> Block 131 of 565 complete - 23.19 % - created peptides 173,392 \n" + "2022-03-27 05:39:44> Block 131 of 565 complete - 23.19 % - created peptides 141,072 - total peptides 21,718,282 \n" ] }, { @@ -9304,14 +9278,14 @@ "output_type": "stream", "text": [ "\r", - " 23%|██████████████▍ | 0.23185840707964603/1 [20:49<1:10:48, 5530.69s/it]" + " 23%|██████████████▍ | 0.23185840707964603/1 [19:16<1:13:55, 5774.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:38:57> Block 132 of 565 complete - 23.36 % - created peptides 158,074 \n" + "2022-03-27 05:39:53> Block 132 of 565 complete - 23.36 % - created peptides 173,392 - total peptides 21,891,674 \n" ] }, { @@ -9319,14 +9293,14 @@ "output_type": "stream", "text": [ "\r", - " 23%|██████████████▋ | 0.2336283185840708/1 [20:58<1:08:56, 5397.21s/it]" + " 23%|██████████████▋ | 0.2336283185840708/1 [19:25<1:10:32, 5522.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:39:06> Block 133 of 565 complete - 23.54 % - created peptides 141,072 \n" + "2022-03-27 05:40:01> Block 133 of 565 complete - 23.54 % - created peptides 158,074 - total peptides 22,049,748 \n" ] }, { @@ -9334,14 +9308,14 @@ "output_type": "stream", "text": [ "\r", - " 24%|██████████████▌ | 0.23539823008849559/1 [21:18<1:30:33, 7106.78s/it]" + " 24%|██████████████▌ | 0.23539823008849559/1 [19:32<1:04:53, 5092.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:39:25> Block 134 of 565 complete - 23.72 % - created peptides 142,106 \n" + "2022-03-27 05:40:09> Block 134 of 565 complete - 23.72 % - created peptides 142,106 - total peptides 22,191,854 \n" ] }, { @@ -9349,14 +9323,14 @@ "output_type": "stream", "text": [ "\r", - " 24%|██████████████▋ | 0.23716814159292035/1 [21:27<1:23:08, 6539.71s/it]" + " 24%|██████████████▋ | 0.23716814159292035/1 [19:48<1:18:28, 6172.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:39:35> Block 135 of 565 complete - 23.89 % - created peptides 166,492 \n" + "2022-03-27 05:40:24> Block 135 of 565 complete - 23.89 % - created peptides 166,492 - total peptides 22,358,346 \n" ] }, { @@ -9364,14 +9338,14 @@ "output_type": "stream", "text": [ "\r", - " 24%|██████████████▊ | 0.23893805309734514/1 [21:37<1:18:43, 6206.29s/it]" + " 24%|██████████████▊ | 0.23893805309734514/1 [19:56<1:11:55, 5669.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:39:44> Block 136 of 565 complete - 24.07 % - created peptides 135,416 \n" + "2022-03-27 05:40:32> Block 136 of 565 complete - 24.07 % - created peptides 181,378 - total peptides 22,539,724 \n" ] }, { @@ -9379,14 +9353,14 @@ "output_type": "stream", "text": [ "\r", - " 24%|███████████████▏ | 0.2407079646017699/1 [21:46<1:14:36, 5895.00s/it]" + " 24%|███████████████▏ | 0.2407079646017699/1 [20:05<1:09:30, 5492.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:39:53> Block 137 of 565 complete - 24.25 % - created peptides 130,444 \n" + "2022-03-27 05:40:41> Block 137 of 565 complete - 24.25 % - created peptides 177,656 - total peptides 22,717,380 \n" ] }, { @@ -9394,14 +9368,14 @@ "output_type": "stream", "text": [ "\r", - " 24%|███████████████▎ | 0.2424778761061947/1 [21:54<1:09:58, 5542.26s/it]" + " 24%|███████████████▎ | 0.2424778761061947/1 [20:14<1:08:00, 5386.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:40:02> Block 138 of 565 complete - 24.42 % - created peptides 181,378 \n" + "2022-03-27 05:40:50> Block 138 of 565 complete - 24.42 % - created peptides 135,416 - total peptides 22,852,796 \n" ] }, { @@ -9409,14 +9383,14 @@ "output_type": "stream", "text": [ "\r", - " 24%|███████████████▏ | 0.24424778761061947/1 [22:04<1:09:55, 5551.47s/it]" + " 24%|███████████████▏ | 0.24424778761061947/1 [20:22<1:06:17, 5262.50s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:40:12> Block 139 of 565 complete - 24.60 % - created peptides 177,656 \n" + "2022-03-27 05:40:59> Block 139 of 565 complete - 24.60 % - created peptides 130,444 - total peptides 22,983,240 \n" ] }, { @@ -9424,14 +9398,14 @@ "output_type": "stream", "text": [ "\r", - " 25%|███████████████▎ | 0.24601769911504426/1 [22:22<1:27:55, 6996.67s/it]" + " 25%|███████████████▎ | 0.24601769911504426/1 [20:37<1:17:31, 6168.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:40:30> Block 140 of 565 complete - 24.78 % - created peptides 199,388 \n" + "2022-03-27 05:41:14> Block 140 of 565 complete - 24.78 % - created peptides 134,494 - total peptides 23,117,734 \n" ] }, { @@ -9439,14 +9413,14 @@ "output_type": "stream", "text": [ "\r", - " 25%|███████████████▎ | 0.24778761061946902/1 [22:32<1:21:23, 6492.04s/it]" + " 25%|███████████████▎ | 0.24778761061946902/1 [20:45<1:10:12, 5599.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:40:39> Block 141 of 565 complete - 24.96 % - created peptides 134,494 \n" + "2022-03-27 05:41:21> Block 141 of 565 complete - 24.96 % - created peptides 199,388 - total peptides 23,317,122 \n" ] }, { @@ -9454,14 +9428,14 @@ "output_type": "stream", "text": [ "\r", - " 25%|███████████████▍ | 0.24955752212389382/1 [22:42<1:17:54, 6229.59s/it]" + " 25%|███████████████▍ | 0.24955752212389382/1 [20:53<1:06:49, 5342.50s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:40:49> Block 142 of 565 complete - 25.13 % - created peptides 155,574 \n" + "2022-03-27 05:41:30> Block 142 of 565 complete - 25.13 % - created peptides 155,574 - total peptides 23,472,696 \n" ] }, { @@ -9469,14 +9443,14 @@ "output_type": "stream", "text": [ "\r", - " 25%|███████████████▊ | 0.2513274336283186/1 [22:52<1:15:19, 6037.31s/it]" + " 25%|███████████████▊ | 0.2513274336283186/1 [21:01<1:03:52, 5118.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:40:59> Block 143 of 565 complete - 25.31 % - created peptides 135,786 \n" + "2022-03-27 05:41:38> Block 143 of 565 complete - 25.31 % - created peptides 135,786 - total peptides 23,608,482 \n" ] }, { @@ -9484,14 +9458,14 @@ "output_type": "stream", "text": [ "\r", - " 25%|███████████████▋ | 0.25309734513274335/1 [23:00<1:10:29, 5662.72s/it]" + " 25%|███████████████▋ | 0.25309734513274335/1 [21:09<1:02:04, 4986.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:41:08> Block 144 of 565 complete - 25.49 % - created peptides 139,174 \n" + "2022-03-27 05:41:46> Block 144 of 565 complete - 25.49 % - created peptides 139,174 - total peptides 23,747,656 \n" ] }, { @@ -9499,14 +9473,14 @@ "output_type": "stream", "text": [ "\r", - " 25%|███████████████▊ | 0.25486725663716814/1 [23:18<1:27:37, 7055.80s/it]" + " 25%|███████████████▊ | 0.25486725663716814/1 [21:27<1:21:15, 6543.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:41:26> Block 145 of 565 complete - 25.66 % - created peptides 175,664 \n" + "2022-03-27 05:42:04> Block 145 of 565 complete - 25.66 % - created peptides 175,664 - total peptides 23,923,320 \n" ] }, { @@ -9514,14 +9488,14 @@ "output_type": "stream", "text": [ "\r", - " 26%|███████████████▉ | 0.25663716814159293/1 [23:27<1:19:59, 6457.10s/it]" + " 26%|███████████████▉ | 0.25663716814159293/1 [21:36<1:13:57, 5969.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:41:35> Block 146 of 565 complete - 25.84 % - created peptides 168,200 \n" + "2022-03-27 05:42:12> Block 146 of 565 complete - 25.84 % - created peptides 205,200 - total peptides 24,128,520 \n" ] }, { @@ -9529,14 +9503,14 @@ "output_type": "stream", "text": [ "\r", - " 26%|████████████████▎ | 0.2584070796460177/1 [23:37<1:15:59, 6148.56s/it]" + " 26%|████████████████▎ | 0.2584070796460177/1 [21:44<1:08:21, 5530.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:41:44> Block 147 of 565 complete - 26.02 % - created peptides 205,200 \n" + "2022-03-27 05:42:20> Block 147 of 565 complete - 26.02 % - created peptides 180,620 - total peptides 24,309,140 \n" ] }, { @@ -9544,14 +9518,14 @@ "output_type": "stream", "text": [ "\r", - " 26%|████████████████▏ | 0.26017699115044246/1 [23:47<1:13:22, 5950.86s/it]" + " 26%|████████████████▏ | 0.26017699115044246/1 [21:51<1:03:16, 5131.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:41:54> Block 148 of 565 complete - 26.19 % - created peptides 193,816 \n" + "2022-03-27 05:42:28> Block 148 of 565 complete - 26.19 % - created peptides 193,816 - total peptides 24,502,956 \n" ] }, { @@ -9559,14 +9533,14 @@ "output_type": "stream", "text": [ "\r", - " 26%|████████████████▏ | 0.26194690265486725/1 [23:56<1:11:50, 5840.99s/it]" + " 26%|████████████████▏ | 0.26194690265486725/1 [21:59<1:00:23, 4908.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:42:04> Block 149 of 565 complete - 26.37 % - created peptides 180,620 \n" + "2022-03-27 05:42:35> Block 149 of 565 complete - 26.37 % - created peptides 168,200 - total peptides 24,671,156 \n" ] }, { @@ -9574,14 +9548,14 @@ "output_type": "stream", "text": [ "\r", - " 26%|████████████████▎ | 0.26371681415929205/1 [24:06<1:09:36, 5673.05s/it]" + " 26%|████████████████▉ | 0.26371681415929205/1 [22:07<59:16, 4830.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:42:13> Block 150 of 565 complete - 26.55 % - created peptides 167,620 \n" + "2022-03-27 05:42:44> Block 150 of 565 complete - 26.55 % - created peptides 166,650 - total peptides 24,837,806 \n" ] }, { @@ -9589,14 +9563,14 @@ "output_type": "stream", "text": [ "\r", - " 27%|████████████████▍ | 0.26548672566371684/1 [24:24<1:26:16, 7047.61s/it]" + " 27%|████████████████▍ | 0.26548672566371684/1 [22:25<1:17:56, 6367.36s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:42:32> Block 151 of 565 complete - 26.73 % - created peptides 162,748 \n" + "2022-03-27 05:43:01> Block 151 of 565 complete - 26.73 % - created peptides 167,620 - total peptides 25,005,426 \n" ] }, { @@ -9604,14 +9578,14 @@ "output_type": "stream", "text": [ "\r", - " 27%|████████████████▊ | 0.2672566371681416/1 [24:34<1:20:30, 6592.68s/it]" + " 27%|████████████████▊ | 0.2672566371681416/1 [22:35<1:15:00, 6141.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:42:41> Block 152 of 565 complete - 26.90 % - created peptides 166,650 \n" + "2022-03-27 05:43:11> Block 152 of 565 complete - 26.90 % - created peptides 196,858 - total peptides 25,202,284 \n" ] }, { @@ -9619,14 +9593,14 @@ "output_type": "stream", "text": [ "\r", - " 27%|████████████████▋ | 0.26902654867256637/1 [24:44<1:16:57, 6316.77s/it]" + " 27%|████████████████▋ | 0.26902654867256637/1 [22:43<1:10:16, 5768.64s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:42:51> Block 153 of 565 complete - 27.08 % - created peptides 196,858 \n" + "2022-03-27 05:43:20> Block 153 of 565 complete - 27.08 % - created peptides 150,326 - total peptides 25,352,610 \n" ] }, { @@ -9634,14 +9608,14 @@ "output_type": "stream", "text": [ "\r", - " 27%|████████████████▊ | 0.27079646017699116/1 [24:54<1:14:42, 6147.48s/it]" + " 27%|████████████████▊ | 0.27079646017699116/1 [22:51<1:04:57, 5344.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:43:02> Block 154 of 565 complete - 27.26 % - created peptides 150,326 \n" + "2022-03-27 05:43:28> Block 154 of 565 complete - 27.26 % - created peptides 162,748 - total peptides 25,515,358 \n" ] }, { @@ -9649,14 +9623,14 @@ "output_type": "stream", "text": [ "\r", - " 27%|████████████████▉ | 0.27256637168141595/1 [25:03<1:11:01, 5858.66s/it]" + " 27%|████████████████▉ | 0.27256637168141595/1 [22:59<1:01:19, 5058.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:43:11> Block 155 of 565 complete - 27.43 % - created peptides 159,122 \n" + "2022-03-27 05:43:35> Block 155 of 565 complete - 27.43 % - created peptides 138,896 - total peptides 25,654,254 \n" ] }, { @@ -9664,14 +9638,14 @@ "output_type": "stream", "text": [ "\r", - " 27%|█████████████████▎ | 0.2743362831858407/1 [25:12<1:08:32, 5667.46s/it]" + " 27%|█████████████████▎ | 0.2743362831858407/1 [23:15<1:15:33, 6247.18s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:43:20> Block 156 of 565 complete - 27.61 % - created peptides 138,896 \n" + "2022-03-27 05:43:51> Block 156 of 565 complete - 27.61 % - created peptides 159,122 - total peptides 25,813,376 \n" ] }, { @@ -9679,14 +9653,14 @@ "output_type": "stream", "text": [ "\r", - " 28%|█████████████████▍ | 0.2761061946902655/1 [25:33<1:30:58, 7540.56s/it]" + " 28%|█████████████████▍ | 0.2761061946902655/1 [23:24<1:11:06, 5894.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:43:41> Block 157 of 565 complete - 27.79 % - created peptides 214,474 \n" + "2022-03-27 05:44:00> Block 157 of 565 complete - 27.79 % - created peptides 214,474 - total peptides 26,027,850 \n" ] }, { @@ -9694,14 +9668,14 @@ "output_type": "stream", "text": [ "\r", - " 28%|█████████████████▌ | 0.2778761061946903/1 [25:43<1:23:28, 6935.26s/it]" + " 28%|█████████████████▌ | 0.2778761061946903/1 [23:33<1:08:55, 5727.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:43:51> Block 158 of 565 complete - 27.96 % - created peptides 182,670 \n" + "2022-03-27 05:44:10> Block 158 of 565 complete - 27.96 % - created peptides 152,768 - total peptides 26,180,618 \n" ] }, { @@ -9709,14 +9683,14 @@ "output_type": "stream", "text": [ "\r", - " 28%|█████████████████▎ | 0.27964601769911507/1 [25:53<1:17:16, 6436.57s/it]" + " 28%|█████████████████▎ | 0.27964601769911507/1 [23:43<1:07:42, 5640.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:44:00> Block 159 of 565 complete - 28.14 % - created peptides 152,768 \n" + "2022-03-27 05:44:19> Block 159 of 565 complete - 28.14 % - created peptides 182,670 - total peptides 26,363,288 \n" ] }, { @@ -9724,14 +9698,14 @@ "output_type": "stream", "text": [ "\r", - " 28%|█████████████████▋ | 0.2814159292035398/1 [26:02<1:12:16, 6035.47s/it]" + " 28%|█████████████████▋ | 0.2814159292035398/1 [23:51<1:04:44, 5405.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:44:09> Block 160 of 565 complete - 28.32 % - created peptides 194,506 \n" + "2022-03-27 05:44:28> Block 160 of 565 complete - 28.32 % - created peptides 194,506 - total peptides 26,557,794 \n" ] }, { @@ -9739,14 +9713,14 @@ "output_type": "stream", "text": [ "\r", - " 28%|█████████████████▊ | 0.2831858407079646/1 [26:10<1:06:46, 5589.32s/it]" + " 28%|█████████████████▊ | 0.2831858407079646/1 [23:59<1:00:51, 5093.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:44:17> Block 161 of 565 complete - 28.50 % - created peptides 165,790 \n" + "2022-03-27 05:44:36> Block 161 of 565 complete - 28.50 % - created peptides 165,790 - total peptides 26,723,584 \n" ] }, { @@ -9754,14 +9728,14 @@ "output_type": "stream", "text": [ "\r", - " 28%|█████████████████▉ | 0.2849557522123894/1 [26:18<1:04:07, 5381.39s/it]" + " 28%|█████████████████▉ | 0.2849557522123894/1 [24:16<1:16:06, 6386.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:44:26> Block 162 of 565 complete - 28.67 % - created peptides 182,578 \n" + "2022-03-27 05:44:52> Block 162 of 565 complete - 28.67 % - created peptides 167,066 - total peptides 26,890,650 \n" ] }, { @@ -9769,14 +9743,14 @@ "output_type": "stream", "text": [ "\r", - " 29%|██████████████████ | 0.2867256637168142/1 [26:27<1:01:57, 5211.38s/it]" + " 29%|██████████████████ | 0.2867256637168142/1 [24:25<1:12:24, 6091.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:44:35> Block 163 of 565 complete - 28.85 % - created peptides 167,066 \n" + "2022-03-27 05:45:02> Block 163 of 565 complete - 28.85 % - created peptides 182,578 - total peptides 27,073,228 \n" ] }, { @@ -9784,14 +9758,14 @@ "output_type": "stream", "text": [ "\r", - " 29%|██████████████████▏ | 0.2884955752212389/1 [26:46<1:22:41, 6973.42s/it]" + " 29%|██████████████████▏ | 0.2884955752212389/1 [24:35<1:10:20, 5931.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:44:54> Block 164 of 565 complete - 29.03 % - created peptides 153,212 \n" + "2022-03-27 05:45:12> Block 164 of 565 complete - 29.03 % - created peptides 153,212 - total peptides 27,226,440 \n" ] }, { @@ -9799,14 +9773,14 @@ "output_type": "stream", "text": [ "\r", - " 29%|██████████████████▎ | 0.2902654867256637/1 [26:54<1:12:26, 6123.95s/it]" + " 29%|██████████████████▎ | 0.2902654867256637/1 [24:44<1:07:21, 5695.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:01> Block 165 of 565 complete - 29.20 % - created peptides 162,810 \n" + "2022-03-27 05:45:21> Block 165 of 565 complete - 29.20 % - created peptides 202,984 - total peptides 27,429,424 \n" ] }, { @@ -9814,14 +9788,14 @@ "output_type": "stream", "text": [ "\r", - " 29%|██████████████████▍ | 0.2920353982300885/1 [26:59<1:01:16, 5193.59s/it]" + " 29%|██████████████████▍ | 0.2920353982300885/1 [24:53<1:04:48, 5492.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:07> Block 166 of 565 complete - 29.38 % - created peptides 202,984 \n" + "2022-03-27 05:45:30> Block 166 of 565 complete - 29.38 % - created peptides 162,810 - total peptides 27,592,234 \n" ] }, { @@ -9829,14 +9803,14 @@ "output_type": "stream", "text": [ "\r", - " 29%|███████████████████ | 0.2938053097345133/1 [27:04<53:24, 4538.14s/it]" + " 29%|██████████████████▌ | 0.2938053097345133/1 [25:10<1:18:02, 6630.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:12> Block 167 of 565 complete - 29.56 % - created peptides 138,888 \n" + "2022-03-27 05:45:46> Block 167 of 565 complete - 29.56 % - created peptides 138,888 - total peptides 27,731,122 \n" ] }, { @@ -9844,14 +9818,14 @@ "output_type": "stream", "text": [ "\r", - " 30%|██████████████████▉ | 0.29557522123893804/1 [27:09<45:48, 3902.12s/it]" + " 30%|██████████████████▎ | 0.29557522123893804/1 [25:18<1:10:53, 6038.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:16> Block 168 of 565 complete - 29.73 % - created peptides 170,784 \n" + "2022-03-27 05:45:54> Block 168 of 565 complete - 29.73 % - created peptides 140,120 - total peptides 27,871,242 \n" ] }, { @@ -9859,14 +9833,14 @@ "output_type": "stream", "text": [ "\r", - " 30%|███████████████████▎ | 0.2973451327433628/1 [27:13<40:30, 3459.73s/it]" + " 30%|██████████████████▋ | 0.2973451327433628/1 [25:27<1:07:43, 5783.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:21> Block 169 of 565 complete - 29.91 % - created peptides 140,120 \n" + "2022-03-27 05:46:04> Block 169 of 565 complete - 29.91 % - created peptides 145,140 - total peptides 28,016,382 \n" ] }, { @@ -9874,14 +9848,14 @@ "output_type": "stream", "text": [ "\r", - " 30%|███████████████████▍ | 0.2991150442477876/1 [27:17<36:40, 3138.98s/it]" + " 30%|██████████████████▊ | 0.2991150442477876/1 [25:36<1:05:42, 5624.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:25> Block 170 of 565 complete - 30.09 % - created peptides 145,140 \n" + "2022-03-27 05:46:13> Block 170 of 565 complete - 30.09 % - created peptides 161,368 - total peptides 28,177,750 \n" ] }, { @@ -9889,14 +9863,14 @@ "output_type": "stream", "text": [ "\r", - " 30%|███████████████████▌ | 0.3008849557522124/1 [27:22<33:59, 2917.81s/it]" + " 30%|██████████████████▉ | 0.3008849557522124/1 [25:46<1:05:18, 5604.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:29> Block 171 of 565 complete - 30.27 % - created peptides 161,368 \n" + "2022-03-27 05:46:23> Block 171 of 565 complete - 30.27 % - created peptides 170,784 - total peptides 28,348,534 \n" ] }, { @@ -9904,14 +9878,14 @@ "output_type": "stream", "text": [ "\r", - " 30%|███████████████████▎ | 0.30265486725663715/1 [27:33<46:04, 3964.51s/it]" + " 30%|██████████████████▊ | 0.30265486725663715/1 [25:55<1:02:47, 5402.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:40> Block 172 of 565 complete - 30.44 % - created peptides 164,074 \n" + "2022-03-27 05:46:31> Block 172 of 565 complete - 30.44 % - created peptides 146,884 - total peptides 28,495,418 \n" ] }, { @@ -9919,14 +9893,14 @@ "output_type": "stream", "text": [ "\r", - " 30%|███████████████████▍ | 0.30442477876106194/1 [27:37<40:40, 3509.28s/it]" + " 30%|███████████████████▍ | 0.30442477876106194/1 [26:03<59:58, 5172.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:45> Block 173 of 565 complete - 30.62 % - created peptides 146,884 \n" + "2022-03-27 05:46:40> Block 173 of 565 complete - 30.62 % - created peptides 138,080 - total peptides 28,633,498 \n" ] }, { @@ -9934,14 +9908,14 @@ "output_type": "stream", "text": [ "\r", - " 31%|███████████████████▌ | 0.30619469026548674/1 [27:41<36:47, 3181.42s/it]" + " 31%|██████████████████▉ | 0.30619469026548674/1 [26:20<1:15:05, 6494.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:49> Block 174 of 565 complete - 30.80 % - created peptides 131,868 \n" + "2022-03-27 05:46:57> Block 174 of 565 complete - 30.80 % - created peptides 196,242 - total peptides 28,829,740 \n" ] }, { @@ -9949,14 +9923,14 @@ "output_type": "stream", "text": [ "\r", - " 31%|███████████████████▋ | 0.30796460176991153/1 [27:46<34:08, 2959.75s/it]" + " 31%|███████████████████ | 0.30796460176991153/1 [26:30<1:11:22, 6188.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:53> Block 175 of 565 complete - 30.97 % - created peptides 138,080 \n" + "2022-03-27 05:47:06> Block 175 of 565 complete - 30.97 % - created peptides 164,074 - total peptides 28,993,814 \n" ] }, { @@ -9964,14 +9938,14 @@ "output_type": "stream", "text": [ "\r", - " 31%|███████████████████▊ | 0.30973451327433627/1 [27:50<32:10, 2796.73s/it]" + " 31%|███████████████████▏ | 0.30973451327433627/1 [26:38<1:06:06, 5746.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:45:58> Block 176 of 565 complete - 31.15 % - created peptides 137,356 \n" + "2022-03-27 05:47:15> Block 176 of 565 complete - 31.15 % - created peptides 137,356 - total peptides 29,131,170 \n" ] }, { @@ -9979,14 +9953,14 @@ "output_type": "stream", "text": [ "\r", - " 31%|███████████████████▉ | 0.31150442477876106/1 [27:54<30:49, 2686.91s/it]" + " 31%|███████████████████▎ | 0.31150442477876106/1 [26:47<1:03:19, 5518.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:02> Block 177 of 565 complete - 31.33 % - created peptides 196,242 \n" + "2022-03-27 05:47:23> Block 177 of 565 complete - 31.33 % - created peptides 151,144 - total peptides 29,282,314 \n" ] }, { @@ -9994,14 +9968,14 @@ "output_type": "stream", "text": [ "\r", - " 31%|████████████████████ | 0.31327433628318585/1 [27:59<30:00, 2621.89s/it]" + " 31%|████████████████████ | 0.31327433628318585/1 [26:54<58:26, 5106.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:06> Block 178 of 565 complete - 31.50 % - created peptides 151,144 \n" + "2022-03-27 05:47:31> Block 178 of 565 complete - 31.50 % - created peptides 131,868 - total peptides 29,414,182 \n" ] }, { @@ -10009,14 +9983,14 @@ "output_type": "stream", "text": [ "\r", - " 32%|████████████████████▏ | 0.31504424778761064/1 [28:03<29:20, 2570.91s/it]" + " 32%|████████████████████▏ | 0.31504424778761064/1 [27:02<54:56, 4813.20s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:11> Block 179 of 565 complete - 31.68 % - created peptides 139,992 \n" + "2022-03-27 05:47:38> Block 179 of 565 complete - 31.68 % - created peptides 139,992 - total peptides 29,554,174 \n" ] }, { @@ -10024,14 +9998,14 @@ "output_type": "stream", "text": [ "\r", - " 32%|████████████████████▌ | 0.3168141592920354/1 [28:07<28:48, 2530.55s/it]" + " 32%|████████████████████▌ | 0.3168141592920354/1 [27:08<51:35, 4531.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:15> Block 180 of 565 complete - 31.86 % - created peptides 130,312 \n" + "2022-03-27 05:47:45> Block 180 of 565 complete - 31.86 % - created peptides 179,752 - total peptides 29,733,926 \n" ] }, { @@ -10039,14 +10013,14 @@ "output_type": "stream", "text": [ "\r", - " 32%|████████████████████▋ | 0.3185840707964602/1 [28:19<42:00, 3698.27s/it]" + " 32%|████████████████████ | 0.3185840707964602/1 [27:22<1:02:52, 5535.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:26> Block 181 of 565 complete - 32.04 % - created peptides 179,752 \n" + "2022-03-27 05:47:59> Block 181 of 565 complete - 32.04 % - created peptides 130,312 - total peptides 29,864,238 \n" ] }, { @@ -10054,14 +10028,14 @@ "output_type": "stream", "text": [ "\r", - " 32%|████████████████████▌ | 0.32035398230088497/1 [28:23<37:42, 3328.60s/it]" + " 32%|████████████████████▌ | 0.32035398230088497/1 [27:27<52:06, 4600.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:31> Block 182 of 565 complete - 32.21 % - created peptides 189,966 \n" + "2022-03-27 05:48:03> Block 182 of 565 complete - 32.21 % - created peptides 189,966 - total peptides 30,054,204 \n" ] }, { @@ -10069,14 +10043,14 @@ "output_type": "stream", "text": [ "\r", - " 32%|████████████████████▌ | 0.32212389380530976/1 [28:28<34:46, 3078.01s/it]" + " 32%|████████████████████▌ | 0.32212389380530976/1 [27:31<44:42, 3957.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:35> Block 183 of 565 complete - 32.39 % - created peptides 173,140 \n" + "2022-03-27 05:48:07> Block 183 of 565 complete - 32.39 % - created peptides 173,140 - total peptides 30,227,344 \n" ] }, { @@ -10084,14 +10058,14 @@ "output_type": "stream", "text": [ "\r", - " 32%|█████████████████████ | 0.3238938053097345/1 [28:32<32:40, 2899.73s/it]" + " 32%|█████████████████████ | 0.3238938053097345/1 [27:35<39:34, 3512.73s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:40> Block 184 of 565 complete - 32.57 % - created peptides 131,530 \n" + "2022-03-27 05:48:12> Block 184 of 565 complete - 32.57 % - created peptides 129,020 - total peptides 30,356,364 \n" ] }, { @@ -10099,14 +10073,14 @@ "output_type": "stream", "text": [ "\r", - " 33%|█████████████████████▏ | 0.3256637168141593/1 [28:36<31:05, 2766.57s/it]" + " 33%|█████████████████████▏ | 0.3256637168141593/1 [27:40<35:51, 3191.10s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:44> Block 185 of 565 complete - 32.74 % - created peptides 165,448 \n" + "2022-03-27 05:48:16> Block 185 of 565 complete - 32.74 % - created peptides 131,530 - total peptides 30,487,894 \n" ] }, { @@ -10114,14 +10088,14 @@ "output_type": "stream", "text": [ "\r", - " 33%|█████████████████████▎ | 0.3274336283185841/1 [28:41<29:59, 2675.93s/it]" + " 33%|█████████████████████▎ | 0.3274336283185841/1 [27:44<33:18, 2971.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:48> Block 186 of 565 complete - 32.92 % - created peptides 129,020 \n" + "2022-03-27 05:48:21> Block 186 of 565 complete - 32.92 % - created peptides 165,448 - total peptides 30,653,342 \n" ] }, { @@ -10129,14 +10103,14 @@ "output_type": "stream", "text": [ "\r", - " 33%|█████████████████████▍ | 0.3292035398230089/1 [28:45<29:12, 2612.81s/it]" + " 33%|█████████████████████▍ | 0.3292035398230089/1 [27:48<31:32, 2821.88s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:53> Block 187 of 565 complete - 33.10 % - created peptides 165,076 \n" + "2022-03-27 05:48:25> Block 187 of 565 complete - 33.10 % - created peptides 145,644 - total peptides 30,798,986 \n" ] }, { @@ -10144,14 +10118,14 @@ "output_type": "stream", "text": [ "\r", - " 33%|█████████████████████▌ | 0.3309734513274336/1 [28:49<28:45, 2578.53s/it]" + " 33%|█████████████████████▌ | 0.3309734513274336/1 [27:53<30:17, 2716.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:46:57> Block 188 of 565 complete - 33.27 % - created peptides 145,644 \n" + "2022-03-27 05:48:29> Block 188 of 565 complete - 33.27 % - created peptides 165,076 - total peptides 30,964,062 \n" ] }, { @@ -10159,14 +10133,14 @@ "output_type": "stream", "text": [ "\r", - " 33%|█████████████████████▋ | 0.3327433628318584/1 [28:54<28:21, 2550.11s/it]" + " 33%|█████████████████████▋ | 0.3327433628318584/1 [28:04<42:12, 3795.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:01> Block 189 of 565 complete - 33.45 % - created peptides 164,108 \n" + "2022-03-27 05:48:40> Block 189 of 565 complete - 33.45 % - created peptides 164,108 - total peptides 31,128,170 \n" ] }, { @@ -10174,14 +10148,14 @@ "output_type": "stream", "text": [ "\r", - " 33%|█████████████████████▋ | 0.3345132743362832/1 [29:05<41:10, 3712.74s/it]" + " 33%|█████████████████████▋ | 0.3345132743362832/1 [28:08<37:51, 3413.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:13> Block 190 of 565 complete - 33.63 % - created peptides 185,214 \n" + "2022-03-27 05:48:45> Block 190 of 565 complete - 33.63 % - created peptides 169,220 - total peptides 31,297,390 \n" ] }, { @@ -10189,14 +10163,14 @@ "output_type": "stream", "text": [ "\r", - " 34%|██████████████████████▏ | 0.336283185840708/1 [29:10<37:02, 3349.27s/it]" + " 34%|██████████████████████▏ | 0.336283185840708/1 [28:13<34:40, 3134.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:17> Block 191 of 565 complete - 33.81 % - created peptides 123,504 \n" + "2022-03-27 05:48:49> Block 191 of 565 complete - 33.81 % - created peptides 185,214 - total peptides 31,482,604 \n" ] }, { @@ -10204,14 +10178,14 @@ "output_type": "stream", "text": [ "\r", - " 34%|█████████████████████▉ | 0.3380530973451327/1 [29:14<34:00, 3083.04s/it]" + " 34%|█████████████████████▉ | 0.3380530973451327/1 [28:17<32:34, 2952.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:22> Block 192 of 565 complete - 33.98 % - created peptides 169,220 \n" + "2022-03-27 05:48:54> Block 192 of 565 complete - 33.98 % - created peptides 123,504 - total peptides 31,606,108 \n" ] }, { @@ -10219,14 +10193,14 @@ "output_type": "stream", "text": [ "\r", - " 34%|██████████████████████ | 0.3398230088495575/1 [29:18<31:58, 2905.34s/it]" + " 34%|██████████████████████ | 0.3398230088495575/1 [28:22<30:54, 2808.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:26> Block 193 of 565 complete - 34.16 % - created peptides 180,122 \n" + "2022-03-27 05:48:58> Block 193 of 565 complete - 34.16 % - created peptides 165,384 - total peptides 31,771,492 \n" ] }, { @@ -10234,14 +10208,14 @@ "output_type": "stream", "text": [ "\r", - " 34%|██████████████████████▏ | 0.3415929203539823/1 [29:23<30:35, 2787.38s/it]" + " 34%|██████████████████████▏ | 0.3415929203539823/1 [28:26<29:50, 2719.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:30> Block 194 of 565 complete - 34.34 % - created peptides 141,398 \n" + "2022-03-27 05:49:03> Block 194 of 565 complete - 34.34 % - created peptides 171,852 - total peptides 31,943,344 \n" ] }, { @@ -10249,14 +10223,14 @@ "output_type": "stream", "text": [ "\r", - " 34%|██████████████████████▎ | 0.3433628318584071/1 [29:27<29:32, 2699.12s/it]" + " 34%|██████████████████████▎ | 0.3433628318584071/1 [28:31<29:03, 2655.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:35> Block 195 of 565 complete - 34.51 % - created peptides 165,384 \n" + "2022-03-27 05:49:07> Block 195 of 565 complete - 34.51 % - created peptides 180,122 - total peptides 32,123,466 \n" ] }, { @@ -10264,14 +10238,14 @@ "output_type": "stream", "text": [ "\r", - " 35%|██████████████████████ | 0.34513274336283184/1 [29:32<28:54, 2649.35s/it]" + " 35%|██████████████████████ | 0.34513274336283184/1 [28:35<28:37, 2621.92s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:39> Block 196 of 565 complete - 34.69 % - created peptides 171,852 \n" + "2022-03-27 05:49:12> Block 196 of 565 complete - 34.69 % - created peptides 144,588 - total peptides 32,268,054 \n" ] }, { @@ -10279,14 +10253,14 @@ "output_type": "stream", "text": [ "\r", - " 35%|██████████████████████▏ | 0.34690265486725663/1 [29:36<28:22, 2606.28s/it]" + " 35%|██████████████████████▏ | 0.34690265486725663/1 [28:46<41:05, 3774.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:44> Block 197 of 565 complete - 34.87 % - created peptides 144,588 \n" + "2022-03-27 05:49:23> Block 197 of 565 complete - 34.87 % - created peptides 141,398 - total peptides 32,409,452 \n" ] }, { @@ -10294,14 +10268,14 @@ "output_type": "stream", "text": [ "\r", - " 35%|██████████████████████▋ | 0.3486725663716814/1 [29:41<27:54, 2570.46s/it]" + " 35%|██████████████████████▋ | 0.3486725663716814/1 [28:51<36:53, 3399.10s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:48> Block 198 of 565 complete - 35.04 % - created peptides 151,990 \n" + "2022-03-27 05:49:27> Block 198 of 565 complete - 35.04 % - created peptides 151,990 - total peptides 32,561,442 \n" ] }, { @@ -10309,14 +10283,14 @@ "output_type": "stream", "text": [ "\r", - " 35%|██████████████████████▊ | 0.3504424778761062/1 [29:52<40:02, 3698.27s/it]" + " 35%|██████████████████████▊ | 0.3504424778761062/1 [28:55<33:50, 3126.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:47:59> Block 199 of 565 complete - 35.22 % - created peptides 164,426 \n" + "2022-03-27 05:49:32> Block 199 of 565 complete - 35.22 % - created peptides 164,426 - total peptides 32,725,868 \n" ] }, { @@ -10324,14 +10298,14 @@ "output_type": "stream", "text": [ "\r", - " 35%|██████████████████████▌ | 0.35221238938053095/1 [29:56<36:09, 3348.82s/it]" + " 35%|██████████████████████▌ | 0.35221238938053095/1 [29:00<31:53, 2953.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:04> Block 200 of 565 complete - 35.40 % - created peptides 171,466 \n" + "2022-03-27 05:49:36> Block 200 of 565 complete - 35.40 % - created peptides 155,678 - total peptides 32,881,546 \n" ] }, { @@ -10339,14 +10313,14 @@ "output_type": "stream", "text": [ "\r", - " 35%|██████████████████████▋ | 0.35398230088495575/1 [30:01<33:24, 3102.30s/it]" + " 35%|██████████████████████▋ | 0.35398230088495575/1 [29:04<30:25, 2826.08s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:08> Block 201 of 565 complete - 35.58 % - created peptides 155,678 \n" + "2022-03-27 05:49:41> Block 201 of 565 complete - 35.58 % - created peptides 186,722 - total peptides 33,068,268 \n" ] }, { @@ -10354,14 +10328,14 @@ "output_type": "stream", "text": [ "\r", - " 36%|██████████████████████▊ | 0.35575221238938054/1 [30:05<31:25, 2926.30s/it]" + " 36%|██████████████████████▊ | 0.35575221238938054/1 [29:09<29:35, 2756.43s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:13> Block 202 of 565 complete - 35.75 % - created peptides 186,722 \n" + "2022-03-27 05:49:45> Block 202 of 565 complete - 35.75 % - created peptides 171,466 - total peptides 33,239,734 \n" ] }, { @@ -10369,14 +10343,14 @@ "output_type": "stream", "text": [ "\r", - " 36%|██████████████████████▉ | 0.35752212389380533/1 [30:10<30:08, 2814.77s/it]" + " 36%|██████████████████████▉ | 0.35752212389380533/1 [29:13<28:45, 2686.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:17> Block 203 of 565 complete - 35.93 % - created peptides 144,526 \n" + "2022-03-27 05:49:50> Block 203 of 565 complete - 35.93 % - created peptides 173,406 - total peptides 33,413,140 \n" ] }, { @@ -10384,14 +10358,14 @@ "output_type": "stream", "text": [ "\r", - " 36%|██████████████████████▉ | 0.35929203539823007/1 [30:14<29:03, 2721.41s/it]" + " 36%|██████████████████████▉ | 0.35929203539823007/1 [29:18<28:13, 2643.46s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:22> Block 204 of 565 complete - 36.11 % - created peptides 173,406 \n" + "2022-03-27 05:49:54> Block 204 of 565 complete - 36.11 % - created peptides 176,618 - total peptides 33,589,758 \n" ] }, { @@ -10399,14 +10373,14 @@ "output_type": "stream", "text": [ "\r", - " 36%|███████████████████████ | 0.36106194690265486/1 [30:19<28:20, 2662.14s/it]" + " 36%|███████████████████████ | 0.36106194690265486/1 [29:22<27:51, 2615.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:26> Block 205 of 565 complete - 36.28 % - created peptides 176,618 \n" + "2022-03-27 05:49:59> Block 205 of 565 complete - 36.28 % - created peptides 144,526 - total peptides 33,734,284 \n" ] }, { @@ -10414,14 +10388,14 @@ "output_type": "stream", "text": [ "\r", - " 36%|███████████████████████▏ | 0.36283185840707965/1 [30:23<27:52, 2624.36s/it]" + " 36%|███████████████████████▏ | 0.36283185840707965/1 [29:34<39:48, 3747.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:31> Block 206 of 565 complete - 36.46 % - created peptides 179,046 \n" + "2022-03-27 05:50:10> Block 206 of 565 complete - 36.46 % - created peptides 179,046 - total peptides 33,913,330 \n" ] }, { @@ -10429,14 +10403,14 @@ "output_type": "stream", "text": [ "\r", - " 36%|███████████████████████▎ | 0.36460176991150445/1 [30:35<39:56, 3770.90s/it]" + " 36%|███████████████████████▎ | 0.36460176991150445/1 [29:38<35:52, 3387.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:42> Block 207 of 565 complete - 36.64 % - created peptides 166,436 \n" + "2022-03-27 05:50:15> Block 207 of 565 complete - 36.64 % - created peptides 154,746 - total peptides 34,068,076 \n" ] }, { @@ -10444,14 +10418,14 @@ "output_type": "stream", "text": [ "\r", - " 37%|███████████████████████▊ | 0.3663716814159292/1 [30:39<36:07, 3421.23s/it]" + " 37%|███████████████████████▊ | 0.3663716814159292/1 [29:43<33:03, 3130.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:47> Block 208 of 565 complete - 36.81 % - created peptides 154,746 \n" + "2022-03-27 05:50:19> Block 208 of 565 complete - 36.81 % - created peptides 166,436 - total peptides 34,234,512 \n" ] }, { @@ -10459,14 +10433,14 @@ "output_type": "stream", "text": [ "\r", - " 37%|████████████████████████▎ | 0.368141592920354/1 [30:44<33:16, 3159.04s/it]" + " 37%|████████████████████████▎ | 0.368141592920354/1 [29:47<31:06, 2954.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:51> Block 209 of 565 complete - 36.99 % - created peptides 166,372 \n" + "2022-03-27 05:50:24> Block 209 of 565 complete - 36.99 % - created peptides 166,372 - total peptides 34,400,884 \n" ] }, { @@ -10474,14 +10448,14 @@ "output_type": "stream", "text": [ "\r", - " 37%|███████████████████████▋ | 0.36991150442477877/1 [30:48<31:17, 2979.55s/it]" + " 37%|███████████████████████▋ | 0.36991150442477877/1 [29:52<29:48, 2838.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:48:56> Block 210 of 565 complete - 37.17 % - created peptides 176,742 \n" + "2022-03-27 05:50:28> Block 210 of 565 complete - 37.17 % - created peptides 171,568 - total peptides 34,572,452 \n" ] }, { @@ -10489,14 +10463,14 @@ "output_type": "stream", "text": [ "\r", - " 37%|███████████████████████▊ | 0.37168141592920356/1 [30:53<29:53, 2854.84s/it]" + " 37%|███████████████████████▊ | 0.37168141592920356/1 [29:56<28:53, 2759.09s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:00> Block 211 of 565 complete - 37.35 % - created peptides 189,460 \n" + "2022-03-27 05:50:33> Block 211 of 565 complete - 37.35 % - created peptides 176,742 - total peptides 34,749,194 \n" ] }, { @@ -10504,14 +10478,14 @@ "output_type": "stream", "text": [ "\r", - " 37%|████████████████████████▎ | 0.3734513274336283/1 [30:57<28:58, 2774.63s/it]" + " 37%|████████████████████████▎ | 0.3734513274336283/1 [30:01<28:17, 2708.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:05> Block 212 of 565 complete - 37.52 % - created peptides 171,568 \n" + "2022-03-27 05:50:37> Block 212 of 565 complete - 37.52 % - created peptides 176,258 - total peptides 34,925,452 \n" ] }, { @@ -10519,14 +10493,14 @@ "output_type": "stream", "text": [ "\r", - " 38%|████████████████████████▍ | 0.3752212389380531/1 [31:02<28:12, 2708.53s/it]" + " 38%|████████████████████████▍ | 0.3752212389380531/1 [30:05<27:48, 2670.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:09> Block 213 of 565 complete - 37.70 % - created peptides 176,020 \n" + "2022-03-27 05:50:42> Block 213 of 565 complete - 37.70 % - created peptides 189,460 - total peptides 35,114,912 \n" ] }, { @@ -10534,14 +10508,14 @@ "output_type": "stream", "text": [ "\r", - " 38%|████████████████████████▌ | 0.3769911504424779/1 [31:06<27:38, 2661.89s/it]" + " 38%|████████████████████████▌ | 0.3769911504424779/1 [30:17<39:35, 3812.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:14> Block 214 of 565 complete - 37.88 % - created peptides 176,258 \n" + "2022-03-27 05:50:53> Block 214 of 565 complete - 37.88 % - created peptides 188,670 - total peptides 35,303,582 \n" ] }, { @@ -10549,14 +10523,14 @@ "output_type": "stream", "text": [ "\r", - " 38%|████████████████████████▌ | 0.3787610619469027/1 [31:11<27:14, 2630.79s/it]" + " 38%|████████████████████████▌ | 0.3787610619469027/1 [30:22<35:40, 3445.97s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:18> Block 215 of 565 complete - 38.05 % - created peptides 188,670 \n" + "2022-03-27 05:50:58> Block 215 of 565 complete - 38.05 % - created peptides 176,020 - total peptides 35,479,602 \n" ] }, { @@ -10564,14 +10538,14 @@ "output_type": "stream", "text": [ "\r", - " 38%|████████████████████████▋ | 0.3805309734513274/1 [31:22<38:26, 3723.34s/it]" + " 38%|████████████████████████▋ | 0.3805309734513274/1 [30:26<32:54, 3187.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:30> Block 216 of 565 complete - 38.23 % - created peptides 189,392 \n" + "2022-03-27 05:51:03> Block 216 of 565 complete - 38.23 % - created peptides 170,182 - total peptides 35,649,784 \n" ] }, { @@ -10579,14 +10553,14 @@ "output_type": "stream", "text": [ "\r", - " 38%|████████████████████████▊ | 0.3823008849557522/1 [31:27<34:48, 3381.84s/it]" + " 38%|████████████████████████▊ | 0.3823008849557522/1 [30:31<30:55, 3003.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:34> Block 217 of 565 complete - 38.41 % - created peptides 170,182 \n" + "2022-03-27 05:51:07> Block 217 of 565 complete - 38.41 % - created peptides 189,392 - total peptides 35,839,176 \n" ] }, { @@ -10594,14 +10568,14 @@ "output_type": "stream", "text": [ "\r", - " 38%|█████████████████████████▎ | 0.384070796460177/1 [31:31<32:10, 3133.99s/it]" + " 38%|█████████████████████████▎ | 0.384070796460177/1 [30:35<29:43, 2895.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:39> Block 218 of 565 complete - 38.58 % - created peptides 172,880 \n" + "2022-03-27 05:51:12> Block 218 of 565 complete - 38.58 % - created peptides 176,730 - total peptides 36,015,906 \n" ] }, { @@ -10609,14 +10583,14 @@ "output_type": "stream", "text": [ "\r", - " 39%|█████████████████████████ | 0.3858407079646018/1 [31:36<30:27, 2975.45s/it]" + " 39%|█████████████████████████ | 0.3858407079646018/1 [30:40<28:45, 2808.78s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:43> Block 219 of 565 complete - 38.76 % - created peptides 172,268 \n" + "2022-03-27 05:51:16> Block 219 of 565 complete - 38.76 % - created peptides 172,268 - total peptides 36,188,174 \n" ] }, { @@ -10624,14 +10598,14 @@ "output_type": "stream", "text": [ "\r", - " 39%|████████████████████████▊ | 0.38761061946902653/1 [31:40<29:11, 2860.16s/it]" + " 39%|████████████████████████▊ | 0.38761061946902653/1 [30:45<28:05, 2752.84s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:48> Block 220 of 565 complete - 38.94 % - created peptides 176,730 \n" + "2022-03-27 05:51:21> Block 220 of 565 complete - 38.94 % - created peptides 173,880 - total peptides 36,362,054 \n" ] }, { @@ -10639,14 +10613,14 @@ "output_type": "stream", "text": [ "\r", - " 39%|█████████████████████████▎ | 0.3893805309734513/1 [31:45<28:17, 2779.45s/it]" + " 39%|█████████████████████████▎ | 0.3893805309734513/1 [30:49<27:33, 2707.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:52> Block 221 of 565 complete - 39.12 % - created peptides 173,880 \n" + "2022-03-27 05:51:26> Block 221 of 565 complete - 39.12 % - created peptides 172,880 - total peptides 36,534,934 \n" ] }, { @@ -10654,14 +10628,14 @@ "output_type": "stream", "text": [ "\r", - " 39%|█████████████████████████▍ | 0.3911504424778761/1 [31:49<27:42, 2730.16s/it]" + " 39%|█████████████████████████▍ | 0.3911504424778761/1 [30:54<27:10, 2677.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:49:57> Block 222 of 565 complete - 39.29 % - created peptides 181,794 \n" + "2022-03-27 05:51:30> Block 222 of 565 complete - 39.29 % - created peptides 155,094 - total peptides 36,690,028 \n" ] }, { @@ -10669,14 +10643,14 @@ "output_type": "stream", "text": [ "\r", - " 39%|█████████████████████████▌ | 0.3929203539823009/1 [31:54<27:14, 2692.16s/it]" + " 39%|█████████████████████████▌ | 0.3929203539823009/1 [31:05<37:52, 3742.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:02> Block 223 of 565 complete - 39.47 % - created peptides 155,094 \n" + "2022-03-27 05:51:41> Block 223 of 565 complete - 39.47 % - created peptides 179,426 - total peptides 36,869,454 \n" ] }, { @@ -10684,14 +10658,14 @@ "output_type": "stream", "text": [ "\r", - " 39%|█████████████████████████▎ | 0.39469026548672564/1 [32:05<37:35, 3726.46s/it]" + " 39%|█████████████████████████▎ | 0.39469026548672564/1 [31:09<34:24, 3411.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:12> Block 224 of 565 complete - 39.65 % - created peptides 179,426 \n" + "2022-03-27 05:51:46> Block 224 of 565 complete - 39.65 % - created peptides 181,794 - total peptides 37,051,248 \n" ] }, { @@ -10699,14 +10673,14 @@ "output_type": "stream", "text": [ "\r", - " 40%|█████████████████████████▎ | 0.39646017699115044/1 [32:10<34:08, 3393.48s/it]" + " 40%|█████████████████████████▎ | 0.39646017699115044/1 [31:14<31:58, 3179.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:17> Block 225 of 565 complete - 39.82 % - created peptides 155,806 \n" + "2022-03-27 05:51:51> Block 225 of 565 complete - 39.82 % - created peptides 155,806 - total peptides 37,207,054 \n" ] }, { @@ -10714,14 +10688,14 @@ "output_type": "stream", "text": [ "\r", - " 40%|█████████████████████████▍ | 0.39823008849557523/1 [32:14<31:35, 3150.39s/it]" + " 40%|█████████████████████████▍ | 0.39823008849557523/1 [31:19<30:07, 3004.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:22> Block 226 of 565 complete - 40.00 % - created peptides 179,922 \n" + "2022-03-27 05:51:55> Block 226 of 565 complete - 40.00 % - created peptides 179,922 - total peptides 37,386,976 \n" ] }, { @@ -10729,14 +10703,14 @@ "output_type": "stream", "text": [ "\r", - " 40%|████████████████████████████████ | 0.4/1 [32:19<29:52, 2987.11s/it]" + " 40%|████████████████████████████████ | 0.4/1 [31:23<28:55, 2893.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:26> Block 227 of 565 complete - 40.18 % - created peptides 173,308 \n" + "2022-03-27 05:52:00> Block 227 of 565 complete - 40.18 % - created peptides 173,308 - total peptides 37,560,284 \n" ] }, { @@ -10744,14 +10718,14 @@ "output_type": "stream", "text": [ "\r", - " 40%|█████████████████████████▋ | 0.40176991150442476/1 [32:23<28:39, 2874.22s/it]" + " 40%|█████████████████████████▋ | 0.40176991150442476/1 [31:28<28:03, 2813.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:31> Block 228 of 565 complete - 40.35 % - created peptides 156,618 \n" + "2022-03-27 05:52:05> Block 228 of 565 complete - 40.35 % - created peptides 156,618 - total peptides 37,716,902 \n" ] }, { @@ -10759,14 +10733,14 @@ "output_type": "stream", "text": [ "\r", - " 40%|█████████████████████████▊ | 0.40353982300884955/1 [32:28<27:43, 2788.32s/it]" + " 40%|█████████████████████████▊ | 0.40353982300884955/1 [31:33<27:21, 2751.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:36> Block 229 of 565 complete - 40.53 % - created peptides 191,732 \n" + "2022-03-27 05:52:09> Block 229 of 565 complete - 40.53 % - created peptides 191,732 - total peptides 37,908,634 \n" ] }, { @@ -10774,14 +10748,14 @@ "output_type": "stream", "text": [ "\r", - " 41%|█████████████████████████▉ | 0.40530973451327434/1 [32:33<27:07, 2737.45s/it]" + " 41%|█████████████████████████▉ | 0.40530973451327434/1 [31:44<38:04, 3841.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:40> Block 230 of 565 complete - 40.71 % - created peptides 177,216 \n" + "2022-03-27 05:52:20> Block 230 of 565 complete - 40.71 % - created peptides 177,216 - total peptides 38,085,850 \n" ] }, { @@ -10789,14 +10763,14 @@ "output_type": "stream", "text": [ "\r", - " 41%|██████████████████████████ | 0.40707964601769914/1 [32:37<26:41, 2701.64s/it]" + " 41%|██████████████████████████ | 0.40707964601769914/1 [31:49<34:46, 3518.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:45> Block 231 of 565 complete - 40.88 % - created peptides 119,000 \n" + "2022-03-27 05:52:25> Block 231 of 565 complete - 40.88 % - created peptides 162,098 - total peptides 38,247,948 \n" ] }, { @@ -10804,14 +10778,14 @@ "output_type": "stream", "text": [ "\r", - " 41%|██████████████████████████▌ | 0.4088495575221239/1 [32:48<36:29, 3704.07s/it]" + " 41%|██████████████████████████▌ | 0.4088495575221239/1 [31:54<32:06, 3258.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:50:55> Block 232 of 565 complete - 41.06 % - created peptides 162,098 \n" + "2022-03-27 05:52:30> Block 232 of 565 complete - 41.06 % - created peptides 119,000 - total peptides 38,366,948 \n" ] }, { @@ -10819,14 +10793,14 @@ "output_type": "stream", "text": [ "\r", - " 41%|██████████████████████████▎ | 0.41061946902654867/1 [32:53<33:09, 3375.49s/it]" + " 41%|██████████████████████████▎ | 0.41061946902654867/1 [31:58<30:06, 3064.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:00> Block 233 of 565 complete - 41.24 % - created peptides 186,366 \n" + "2022-03-27 05:52:35> Block 233 of 565 complete - 41.24 % - created peptides 186,366 - total peptides 38,553,314 \n" ] }, { @@ -10834,14 +10808,14 @@ "output_type": "stream", "text": [ "\r", - " 41%|██████████████████████████▍ | 0.41238938053097346/1 [32:57<30:54, 3156.60s/it]" + " 41%|██████████████████████████▍ | 0.41238938053097346/1 [32:03<28:51, 2946.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:05> Block 234 of 565 complete - 41.42 % - created peptides 133,630 \n" + "2022-03-27 05:52:39> Block 234 of 565 complete - 41.42 % - created peptides 133,630 - total peptides 38,686,944 \n" ] }, { @@ -10849,14 +10823,14 @@ "output_type": "stream", "text": [ "\r", - " 41%|██████████████████████████▌ | 0.41415929203539825/1 [33:02<29:08, 2983.91s/it]" + " 41%|██████████████████████████▌ | 0.41415929203539825/1 [32:08<27:49, 2850.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:09> Block 235 of 565 complete - 41.59 % - created peptides 175,788 \n" + "2022-03-27 05:52:44> Block 235 of 565 complete - 41.59 % - created peptides 175,788 - total peptides 38,862,732 \n" ] }, { @@ -10864,14 +10838,14 @@ "output_type": "stream", "text": [ "\r", - " 42%|███████████████████████████▍ | 0.415929203539823/1 [33:06<28:00, 2876.41s/it]" + " 42%|███████████████████████████▍ | 0.415929203539823/1 [32:12<27:09, 2789.43s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:14> Block 236 of 565 complete - 41.77 % - created peptides 146,930 \n" + "2022-03-27 05:52:49> Block 236 of 565 complete - 41.77 % - created peptides 133,750 - total peptides 38,996,482 \n" ] }, { @@ -10879,14 +10853,14 @@ "output_type": "stream", "text": [ "\r", - " 42%|███████████████████████████▏ | 0.4176991150442478/1 [33:11<27:06, 2793.38s/it]" + " 42%|███████████████████████████▏ | 0.4176991150442478/1 [32:17<26:34, 2739.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:19> Block 237 of 565 complete - 41.95 % - created peptides 174,374 \n" + "2022-03-27 05:52:53> Block 237 of 565 complete - 41.95 % - created peptides 146,930 - total peptides 39,143,412 \n" ] }, { @@ -10894,14 +10868,14 @@ "output_type": "stream", "text": [ "\r", - " 42%|███████████████████████████▎ | 0.4194690265486726/1 [33:16<26:33, 2744.70s/it]" + " 42%|███████████████████████████▎ | 0.4194690265486726/1 [32:28<36:45, 3799.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:23> Block 238 of 565 complete - 42.12 % - created peptides 197,878 \n" + "2022-03-27 05:53:04> Block 238 of 565 complete - 42.12 % - created peptides 174,374 - total peptides 39,317,786 \n" ] }, { @@ -10909,14 +10883,14 @@ "output_type": "stream", "text": [ "\r", - " 42%|██████████████████████████▉ | 0.42123893805309737/1 [33:27<36:30, 3785.01s/it]" + " 42%|██████████████████████████▉ | 0.42123893805309737/1 [32:33<33:19, 3454.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:34> Block 239 of 565 complete - 42.30 % - created peptides 133,750 \n" + "2022-03-27 05:53:09> Block 239 of 565 complete - 42.30 % - created peptides 197,878 - total peptides 39,515,664 \n" ] }, { @@ -10924,14 +10898,14 @@ "output_type": "stream", "text": [ "\r", - " 42%|███████████████████████████▍ | 0.4230088495575221/1 [33:31<32:56, 3424.75s/it]" + " 42%|███████████████████████████▍ | 0.4230088495575221/1 [32:37<30:56, 3217.77s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:39> Block 240 of 565 complete - 42.48 % - created peptides 179,874 \n" + "2022-03-27 05:53:14> Block 240 of 565 complete - 42.48 % - created peptides 179,874 - total peptides 39,695,538 \n" ] }, { @@ -10939,14 +10913,14 @@ "output_type": "stream", "text": [ "\r", - " 42%|███████████████████████████▌ | 0.4247787610619469/1 [33:36<30:35, 3191.28s/it]" + " 42%|███████████████████████████▌ | 0.4247787610619469/1 [32:42<29:11, 3045.51s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:43> Block 241 of 565 complete - 42.65 % - created peptides 148,378 \n" + "2022-03-27 05:53:19> Block 241 of 565 complete - 42.65 % - created peptides 148,378 - total peptides 39,843,916 \n" ] }, { @@ -10954,14 +10928,14 @@ "output_type": "stream", "text": [ "\r", - " 43%|███████████████████████████▋ | 0.4265486725663717/1 [33:41<28:47, 3013.25s/it]" + " 43%|███████████████████████████▋ | 0.4265486725663717/1 [32:47<27:52, 2916.08s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:48> Block 242 of 565 complete - 42.83 % - created peptides 175,918 \n" + "2022-03-27 05:53:23> Block 242 of 565 complete - 42.83 % - created peptides 175,918 - total peptides 40,019,834 \n" ] }, { @@ -10969,14 +10943,14 @@ "output_type": "stream", "text": [ "\r", - " 43%|███████████████████████████▊ | 0.4283185840707965/1 [33:45<27:37, 2899.46s/it]" + " 43%|███████████████████████████▊ | 0.4283185840707965/1 [32:51<27:05, 2842.51s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:53> Block 243 of 565 complete - 43.01 % - created peptides 170,828 \n" + "2022-03-27 05:53:28> Block 243 of 565 complete - 43.01 % - created peptides 170,828 - total peptides 40,190,662 \n" ] }, { @@ -10984,14 +10958,14 @@ "output_type": "stream", "text": [ "\r", - " 43%|███████████████████████████▉ | 0.4300884955752212/1 [33:50<26:45, 2816.51s/it]" + " 43%|███████████████████████████▉ | 0.4300884955752212/1 [32:56<26:28, 2787.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:51:57> Block 244 of 565 complete - 43.19 % - created peptides 172,706 \n" + "2022-03-27 05:53:33> Block 244 of 565 complete - 43.19 % - created peptides 153,218 - total peptides 40,343,880 \n" ] }, { @@ -10999,14 +10973,14 @@ "output_type": "stream", "text": [ "\r", - " 43%|████████████████████████████▌ | 0.431858407079646/1 [33:55<26:07, 2758.48s/it]" + " 43%|████████████████████████████▌ | 0.431858407079646/1 [33:01<26:00, 2747.43s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:02> Block 245 of 565 complete - 43.36 % - created peptides 153,218 \n" + "2022-03-27 05:53:37> Block 245 of 565 complete - 43.36 % - created peptides 220,544 - total peptides 40,564,424 \n" ] }, { @@ -11014,14 +10988,14 @@ "output_type": "stream", "text": [ "\r", - " 43%|████████████████████████████▏ | 0.4336283185840708/1 [33:59<25:39, 2718.36s/it]" + " 43%|████████████████████████████▏ | 0.4336283185840708/1 [33:12<35:36, 3772.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:07> Block 246 of 565 complete - 43.54 % - created peptides 164,484 \n" + "2022-03-27 05:53:48> Block 246 of 565 complete - 43.54 % - created peptides 164,484 - total peptides 40,728,908 \n" ] }, { @@ -11029,14 +11003,14 @@ "output_type": "stream", "text": [ "\r", - " 44%|████████████████████████████▎ | 0.4353982300884956/1 [34:10<34:50, 3702.74s/it]" + " 44%|████████████████████████████▎ | 0.4353982300884956/1 [33:16<32:21, 3439.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:17> Block 247 of 565 complete - 43.72 % - created peptides 186,738 \n" + "2022-03-27 05:53:53> Block 247 of 565 complete - 43.72 % - created peptides 159,180 - total peptides 40,888,088 \n" ] }, { @@ -11044,14 +11018,14 @@ "output_type": "stream", "text": [ "\r", - " 44%|███████████████████████████▉ | 0.43716814159292033/1 [34:14<31:46, 3387.10s/it]" + " 44%|███████████████████████████▉ | 0.43716814159292033/1 [33:21<30:01, 3201.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:22> Block 248 of 565 complete - 43.89 % - created peptides 220,544 \n" + "2022-03-27 05:53:58> Block 248 of 565 complete - 43.89 % - created peptides 172,706 - total peptides 41,060,794 \n" ] }, { @@ -11059,14 +11033,14 @@ "output_type": "stream", "text": [ "\r", - " 44%|████████████████████████████▌ | 0.4389380530973451/1 [34:19<29:41, 3175.15s/it]" + " 44%|████████████████████████████▌ | 0.4389380530973451/1 [33:26<28:23, 3035.98s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:27> Block 249 of 565 complete - 44.07 % - created peptides 159,180 \n" + "2022-03-27 05:54:02> Block 249 of 565 complete - 44.07 % - created peptides 143,908 - total peptides 41,204,702 \n" ] }, { @@ -11074,14 +11048,14 @@ "output_type": "stream", "text": [ "\r", - " 44%|████████████████████████████▋ | 0.4407079646017699/1 [34:24<28:03, 3009.76s/it]" + " 44%|████████████████████████████▋ | 0.4407079646017699/1 [33:30<27:10, 2914.88s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:31> Block 250 of 565 complete - 44.25 % - created peptides 155,840 \n" + "2022-03-27 05:54:07> Block 250 of 565 complete - 44.25 % - created peptides 155,840 - total peptides 41,360,542 \n" ] }, { @@ -11089,14 +11063,14 @@ "output_type": "stream", "text": [ "\r", - " 44%|████████████████████████████▊ | 0.4424778761061947/1 [34:28<26:53, 2893.47s/it]" + " 44%|████████████████████████████▊ | 0.4424778761061947/1 [33:35<26:20, 2835.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:36> Block 251 of 565 complete - 44.42 % - created peptides 143,908 \n" + "2022-03-27 05:54:12> Block 251 of 565 complete - 44.42 % - created peptides 186,738 - total peptides 41,547,280 \n" ] }, { @@ -11104,14 +11078,14 @@ "output_type": "stream", "text": [ "\r", - " 44%|████████████████████████████▍ | 0.44424778761061945/1 [34:33<25:59, 2806.65s/it]" + " 44%|████████████████████████████▍ | 0.44424778761061945/1 [33:40<25:49, 2787.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:41> Block 252 of 565 complete - 44.60 % - created peptides 165,146 \n" + "2022-03-27 05:54:16> Block 252 of 565 complete - 44.60 % - created peptides 165,146 - total peptides 41,712,426 \n" ] }, { @@ -11119,14 +11093,14 @@ "output_type": "stream", "text": [ "\r", - " 45%|████████████████████████████▌ | 0.44601769911504424/1 [34:38<25:27, 2758.11s/it]" + " 45%|████████████████████████████▌ | 0.44601769911504424/1 [33:51<34:53, 3779.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:45> Block 253 of 565 complete - 44.78 % - created peptides 166,356 \n" + "2022-03-27 05:54:27> Block 253 of 565 complete - 44.78 % - created peptides 184,140 - total peptides 41,896,566 \n" ] }, { @@ -11134,14 +11108,14 @@ "output_type": "stream", "text": [ "\r", - " 45%|████████████████████████████▋ | 0.44778761061946903/1 [34:48<34:28, 3746.56s/it]" + " 45%|████████████████████████████▋ | 0.44778761061946903/1 [33:55<31:44, 3448.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:52:56> Block 254 of 565 complete - 44.96 % - created peptides 148,450 \n" + "2022-03-27 05:54:32> Block 254 of 565 complete - 44.96 % - created peptides 166,356 - total peptides 42,062,922 \n" ] }, { @@ -11149,14 +11123,14 @@ "output_type": "stream", "text": [ "\r", - " 45%|█████████████████████████████▏ | 0.4495575221238938/1 [34:53<31:23, 3421.60s/it]" + " 45%|█████████████████████████████▏ | 0.4495575221238938/1 [34:00<29:31, 3218.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:01> Block 255 of 565 complete - 45.13 % - created peptides 184,140 \n" + "2022-03-27 05:54:37> Block 255 of 565 complete - 45.13 % - created peptides 148,450 - total peptides 42,211,372 \n" ] }, { @@ -11164,14 +11138,14 @@ "output_type": "stream", "text": [ "\r", - " 45%|████████████████████████████▉ | 0.45132743362831856/1 [34:58<29:15, 3200.43s/it]" + " 45%|████████████████████████████▉ | 0.45132743362831856/1 [34:05<27:54, 3052.39s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:05> Block 256 of 565 complete - 45.31 % - created peptides 162,624 \n" + "2022-03-27 05:54:41> Block 256 of 565 complete - 45.31 % - created peptides 162,624 - total peptides 42,373,996 \n" ] }, { @@ -11179,14 +11153,14 @@ "output_type": "stream", "text": [ "\r", - " 45%|████████████████████████████▉ | 0.45309734513274336/1 [35:03<27:41, 3038.30s/it]" + " 45%|████████████████████████████▉ | 0.45309734513274336/1 [34:10<26:50, 2944.45s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:10> Block 257 of 565 complete - 45.49 % - created peptides 164,788 \n" + "2022-03-27 05:54:46> Block 257 of 565 complete - 45.49 % - created peptides 187,798 - total peptides 42,561,794 \n" ] }, { @@ -11194,14 +11168,14 @@ "output_type": "stream", "text": [ "\r", - " 45%|█████████████████████████████ | 0.45486725663716815/1 [35:07<26:34, 2925.79s/it]" + " 45%|█████████████████████████████ | 0.45486725663716815/1 [34:14<26:06, 2874.13s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:15> Block 258 of 565 complete - 45.66 % - created peptides 187,798 \n" + "2022-03-27 05:54:51> Block 258 of 565 complete - 45.66 % - created peptides 164,788 - total peptides 42,726,582 \n" ] }, { @@ -11209,14 +11183,14 @@ "output_type": "stream", "text": [ "\r", - " 46%|█████████████████████████████▏ | 0.45663716814159294/1 [35:12<25:46, 2846.69s/it]" + " 46%|█████████████████████████████▏ | 0.45663716814159294/1 [34:19<25:32, 2820.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:20> Block 259 of 565 complete - 45.84 % - created peptides 163,532 \n" + "2022-03-27 05:54:56> Block 259 of 565 complete - 45.84 % - created peptides 163,532 - total peptides 42,890,114 \n" ] }, { @@ -11224,14 +11198,14 @@ "output_type": "stream", "text": [ "\r", - " 46%|█████████████████████████████▊ | 0.4584070796460177/1 [35:17<25:12, 2792.88s/it]" + " 46%|█████████████████████████████▊ | 0.4584070796460177/1 [34:30<34:25, 3813.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:24> Block 260 of 565 complete - 46.02 % - created peptides 174,324 \n" + "2022-03-27 05:55:07> Block 260 of 565 complete - 46.02 % - created peptides 174,324 - total peptides 43,064,438 \n" ] }, { @@ -11239,14 +11213,14 @@ "output_type": "stream", "text": [ "\r", - " 46%|█████████████████████████████▍ | 0.46017699115044247/1 [35:27<33:50, 3761.84s/it]" + " 46%|█████████████████████████████▍ | 0.46017699115044247/1 [34:35<31:15, 3473.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:35> Block 261 of 565 complete - 46.19 % - created peptides 160,512 \n" + "2022-03-27 05:55:11> Block 261 of 565 complete - 46.19 % - created peptides 147,988 - total peptides 43,212,426 \n" ] }, { @@ -11254,14 +11228,14 @@ "output_type": "stream", "text": [ "\r", - " 46%|█████████████████████████████▌ | 0.46194690265486726/1 [35:32<30:45, 3430.05s/it]" + " 46%|█████████████████████████████▌ | 0.46194690265486726/1 [34:40<28:56, 3226.84s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:40> Block 262 of 565 complete - 46.37 % - created peptides 187,946 \n" + "2022-03-27 05:55:16> Block 262 of 565 complete - 46.37 % - created peptides 154,130 - total peptides 43,366,556 \n" ] }, { @@ -11269,14 +11243,14 @@ "output_type": "stream", "text": [ "\r", - " 46%|█████████████████████████████▋ | 0.46371681415929206/1 [35:37<28:38, 3203.98s/it]" + " 46%|█████████████████████████████▋ | 0.46371681415929206/1 [34:44<27:20, 3058.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:44> Block 263 of 565 complete - 46.55 % - created peptides 176,564 \n" + "2022-03-27 05:55:21> Block 263 of 565 complete - 46.55 % - created peptides 160,512 - total peptides 43,527,068 \n" ] }, { @@ -11284,14 +11258,14 @@ "output_type": "stream", "text": [ "\r", - " 47%|██████████████████████████████▎ | 0.4654867256637168/1 [35:42<27:10, 3050.49s/it]" + " 47%|██████████████████████████████▎ | 0.4654867256637168/1 [34:49<26:14, 2945.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:49> Block 264 of 565 complete - 46.73 % - created peptides 154,130 \n" + "2022-03-27 05:55:25> Block 264 of 565 complete - 46.73 % - created peptides 176,564 - total peptides 43,703,632 \n" ] }, { @@ -11299,14 +11273,14 @@ "output_type": "stream", "text": [ "\r", - " 47%|██████████████████████████████▎ | 0.4672566371681416/1 [35:46<26:05, 2938.40s/it]" + " 47%|██████████████████████████████▎ | 0.4672566371681416/1 [34:54<25:25, 2863.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:54> Block 265 of 565 complete - 46.90 % - created peptides 147,988 \n" + "2022-03-27 05:55:30> Block 265 of 565 complete - 46.90 % - created peptides 187,946 - total peptides 43,891,578 \n" ] }, { @@ -11314,14 +11288,14 @@ "output_type": "stream", "text": [ "\r", - " 47%|██████████████████████████████▍ | 0.4690265486725664/1 [35:51<25:13, 2851.10s/it]" + " 47%|██████████████████████████████▍ | 0.4690265486725664/1 [34:59<24:55, 2816.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:53:59> Block 266 of 565 complete - 47.08 % - created peptides 161,400 \n" + "2022-03-27 05:55:35> Block 266 of 565 complete - 47.08 % - created peptides 187,416 - total peptides 44,078,994 \n" ] }, { @@ -11329,14 +11303,14 @@ "output_type": "stream", "text": [ "\r", - " 47%|██████████████████████████████▏ | 0.47079646017699117/1 [35:56<24:41, 2799.32s/it]" + " 47%|██████████████████████████████▏ | 0.47079646017699117/1 [35:03<24:32, 2782.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:03> Block 267 of 565 complete - 47.26 % - created peptides 161,424 \n" + "2022-03-27 05:55:40> Block 267 of 565 complete - 47.26 % - created peptides 161,400 - total peptides 44,240,394 \n" ] }, { @@ -11344,14 +11318,14 @@ "output_type": "stream", "text": [ "\r", - " 47%|██████████████████████████████▋ | 0.4725663716814159/1 [36:06<32:58, 3750.32s/it]" + " 47%|██████████████████████████████▋ | 0.4725663716814159/1 [35:14<32:27, 3693.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:14> Block 268 of 565 complete - 47.43 % - created peptides 187,416 \n" + "2022-03-27 05:55:50> Block 268 of 565 complete - 47.43 % - created peptides 161,424 - total peptides 44,401,818 \n" ] }, { @@ -11359,14 +11333,14 @@ "output_type": "stream", "text": [ "\r", - " 47%|██████████████████████████████▊ | 0.4743362831858407/1 [36:11<30:02, 3429.87s/it]" + " 47%|██████████████████████████████▊ | 0.4743362831858407/1 [35:18<29:41, 3388.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:19> Block 269 of 565 complete - 47.61 % - created peptides 157,934 \n" + "2022-03-27 05:55:55> Block 269 of 565 complete - 47.61 % - created peptides 157,934 - total peptides 44,559,752 \n" ] }, { @@ -11374,14 +11348,14 @@ "output_type": "stream", "text": [ "\r", - " 48%|██████████████████████████████▉ | 0.4761061946902655/1 [36:16<27:56, 3199.41s/it]" + " 48%|██████████████████████████████▉ | 0.4761061946902655/1 [35:23<27:44, 3177.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:23> Block 270 of 565 complete - 47.79 % - created peptides 180,830 \n" + "2022-03-27 05:56:00> Block 270 of 565 complete - 47.79 % - created peptides 175,630 - total peptides 44,735,382 \n" ] }, { @@ -11389,14 +11363,14 @@ "output_type": "stream", "text": [ "\r", - " 48%|███████████████████████████████ | 0.4778761061946903/1 [36:21<26:28, 3041.99s/it]" + " 48%|███████████████████████████████ | 0.4778761061946903/1 [35:28<26:27, 3040.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:28> Block 271 of 565 complete - 47.96 % - created peptides 163,458 \n" + "2022-03-27 05:56:04> Block 271 of 565 complete - 47.96 % - created peptides 163,458 - total peptides 44,898,840 \n" ] }, { @@ -11404,14 +11378,14 @@ "output_type": "stream", "text": [ "\r", - " 48%|███████████████████████████████▋ | 0.479646017699115/1 [36:25<25:24, 2928.93s/it]" + " 48%|███████████████████████████████▋ | 0.479646017699115/1 [35:33<25:26, 2933.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:33> Block 272 of 565 complete - 48.14 % - created peptides 175,630 \n" + "2022-03-27 05:56:09> Block 272 of 565 complete - 48.14 % - created peptides 180,830 - total peptides 45,079,670 \n" ] }, { @@ -11419,14 +11393,14 @@ "output_type": "stream", "text": [ "\r", - " 48%|███████████████████████████████▎ | 0.4814159292035398/1 [36:30<24:44, 2861.72s/it]" + " 48%|███████████████████████████████▎ | 0.4814159292035398/1 [35:37<24:44, 2862.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:38> Block 273 of 565 complete - 48.32 % - created peptides 176,698 \n" + "2022-03-27 05:56:14> Block 273 of 565 complete - 48.32 % - created peptides 165,406 - total peptides 45,245,076 \n" ] }, { @@ -11434,14 +11408,14 @@ "output_type": "stream", "text": [ "\r", - " 48%|███████████████████████████████▍ | 0.4831858407079646/1 [36:35<24:12, 2810.27s/it]" + " 48%|███████████████████████████████▍ | 0.4831858407079646/1 [35:48<32:38, 3788.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:42> Block 274 of 565 complete - 48.50 % - created peptides 165,406 \n" + "2022-03-27 05:56:24> Block 274 of 565 complete - 48.50 % - created peptides 176,698 - total peptides 45,421,774 \n" ] }, { @@ -11449,14 +11423,14 @@ "output_type": "stream", "text": [ "\r", - " 48%|███████████████████████████████▌ | 0.4849557522123894/1 [36:45<32:01, 3731.68s/it]" + " 48%|███████████████████████████████▌ | 0.4849557522123894/1 [35:53<29:42, 3460.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:53> Block 275 of 565 complete - 48.67 % - created peptides 166,234 \n" + "2022-03-27 05:56:29> Block 275 of 565 complete - 48.67 % - created peptides 180,032 - total peptides 45,601,806 \n" ] }, { @@ -11464,14 +11438,14 @@ "output_type": "stream", "text": [ "\r", - " 49%|███████████████████████████████▏ | 0.48672566371681414/1 [36:50<29:16, 3421.51s/it]" + " 49%|███████████████████████████████▏ | 0.48672566371681414/1 [35:58<27:38, 3232.15s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:54:58> Block 276 of 565 complete - 48.85 % - created peptides 180,032 \n" + "2022-03-27 05:56:34> Block 276 of 565 complete - 48.85 % - created peptides 166,234 - total peptides 45,768,040 \n" ] }, { @@ -11479,14 +11453,14 @@ "output_type": "stream", "text": [ "\r", - " 49%|███████████████████████████████▎ | 0.48849557522123893/1 [36:55<27:22, 3210.28s/it]" + " 49%|███████████████████████████████▎ | 0.48849557522123893/1 [36:02<26:10, 3071.21s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:02> Block 277 of 565 complete - 49.03 % - created peptides 178,046 \n" + "2022-03-27 05:56:39> Block 277 of 565 complete - 49.03 % - created peptides 162,542 - total peptides 45,930,582 \n" ] }, { @@ -11494,14 +11468,14 @@ "output_type": "stream", "text": [ "\r", - " 49%|███████████████████████████████▊ | 0.4902654867256637/1 [37:00<25:59, 3059.87s/it]" + " 49%|███████████████████████████████▊ | 0.4902654867256637/1 [36:07<25:12, 2966.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:07> Block 278 of 565 complete - 49.20 % - created peptides 162,542 \n" + "2022-03-27 05:56:44> Block 278 of 565 complete - 49.20 % - created peptides 180,046 - total peptides 46,110,628 \n" ] }, { @@ -11509,14 +11483,14 @@ "output_type": "stream", "text": [ "\r", - " 49%|███████████████████████████████▉ | 0.4920353982300885/1 [37:04<25:00, 2954.08s/it]" + " 49%|███████████████████████████████▉ | 0.4920353982300885/1 [36:12<24:32, 2899.70s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:12> Block 279 of 565 complete - 49.38 % - created peptides 180,046 \n" + "2022-03-27 05:56:48> Block 279 of 565 complete - 49.38 % - created peptides 178,046 - total peptides 46,288,674 \n" ] }, { @@ -11524,14 +11498,14 @@ "output_type": "stream", "text": [ "\r", - " 49%|███████████████████████████████▌ | 0.49380530973451325/1 [37:09<24:16, 2877.45s/it]" + " 49%|███████████████████████████████▌ | 0.49380530973451325/1 [36:17<24:06, 2857.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:17> Block 280 of 565 complete - 49.56 % - created peptides 173,486 \n" + "2022-03-27 05:56:53> Block 280 of 565 complete - 49.56 % - created peptides 173,486 - total peptides 46,462,160 \n" ] }, { @@ -11539,14 +11513,14 @@ "output_type": "stream", "text": [ "\r", - " 50%|███████████████████████████████▋ | 0.49557522123893805/1 [37:14<23:44, 2823.10s/it]" + " 50%|███████████████████████████████▋ | 0.49557522123893805/1 [36:27<31:22, 3731.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:22> Block 281 of 565 complete - 49.73 % - created peptides 182,582 \n" + "2022-03-27 05:57:04> Block 281 of 565 complete - 49.73 % - created peptides 182,582 - total peptides 46,644,742 \n" ] }, { @@ -11554,14 +11528,14 @@ "output_type": "stream", "text": [ "\r", - " 50%|███████████████████████████████▊ | 0.49734513274336284/1 [37:24<31:01, 3703.09s/it]" + " 50%|███████████████████████████████▊ | 0.49734513274336284/1 [36:32<28:48, 3439.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:32> Block 282 of 565 complete - 49.91 % - created peptides 166,848 \n" + "2022-03-27 05:57:08> Block 282 of 565 complete - 49.91 % - created peptides 166,848 - total peptides 46,811,590 \n" ] }, { @@ -11569,14 +11543,14 @@ "output_type": "stream", "text": [ "\r", - " 50%|███████████████████████████████▉ | 0.49911504424778763/1 [37:29<28:23, 3400.01s/it]" + " 50%|███████████████████████████████▉ | 0.49911504424778763/1 [36:37<26:53, 3221.22s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:36> Block 283 of 565 complete - 50.09 % - created peptides 170,362 \n" + "2022-03-27 05:57:13> Block 283 of 565 complete - 50.09 % - created peptides 170,362 - total peptides 46,981,952 \n" ] }, { @@ -11584,14 +11558,14 @@ "output_type": "stream", "text": [ "\r", - " 50%|████████████████████████████████▌ | 0.5008849557522124/1 [37:34<26:30, 3187.62s/it]" + " 50%|████████████████████████████████▌ | 0.5008849557522124/1 [36:42<25:32, 3070.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:41> Block 284 of 565 complete - 50.27 % - created peptides 165,924 \n" + "2022-03-27 05:57:18> Block 284 of 565 complete - 50.27 % - created peptides 164,216 - total peptides 47,146,168 \n" ] }, { @@ -11599,14 +11573,14 @@ "output_type": "stream", "text": [ "\r", - " 50%|████████████████████████████████▋ | 0.5026548672566372/1 [37:38<25:11, 3039.82s/it]" + " 50%|████████████████████████████████▋ | 0.5026548672566372/1 [36:46<24:35, 2967.15s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:46> Block 285 of 565 complete - 50.44 % - created peptides 164,216 \n" + "2022-03-27 05:57:23> Block 285 of 565 complete - 50.44 % - created peptides 165,924 - total peptides 47,312,092 \n" ] }, { @@ -11614,14 +11588,14 @@ "output_type": "stream", "text": [ "\r", - " 50%|█████████████████████████████████▎ | 0.504424778761062/1 [37:43<24:17, 2940.86s/it]" + " 50%|█████████████████████████████████▎ | 0.504424778761062/1 [36:51<23:53, 2893.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:51> Block 286 of 565 complete - 50.62 % - created peptides 182,556 \n" + "2022-03-27 05:57:28> Block 286 of 565 complete - 50.62 % - created peptides 182,556 - total peptides 47,494,648 \n" ] }, { @@ -11629,14 +11603,14 @@ "output_type": "stream", "text": [ "\r", - " 51%|████████████████████████████████▉ | 0.5061946902654867/1 [37:48<23:35, 2866.89s/it]" + " 51%|████████████████████████████████▉ | 0.5061946902654867/1 [37:02<31:16, 3799.81s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:55:56> Block 287 of 565 complete - 50.80 % - created peptides 184,948 \n" + "2022-03-27 05:57:38> Block 287 of 565 complete - 50.80 % - created peptides 184,948 - total peptides 47,679,596 \n" ] }, { @@ -11644,14 +11618,14 @@ "output_type": "stream", "text": [ "\r", - " 51%|█████████████████████████████████ | 0.5079646017699115/1 [37:58<30:41, 3741.96s/it]" + " 51%|█████████████████████████████████ | 0.5079646017699115/1 [37:07<28:35, 3485.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:06> Block 288 of 565 complete - 50.97 % - created peptides 188,464 \n" + "2022-03-27 05:57:43> Block 288 of 565 complete - 50.97 % - created peptides 188,464 - total peptides 47,868,060 \n" ] }, { @@ -11659,14 +11633,14 @@ "output_type": "stream", "text": [ "\r", - " 51%|█████████████████████████████████▏ | 0.5097345132743363/1 [38:03<28:03, 3433.56s/it]" + " 51%|█████████████████████████████████▏ | 0.5097345132743363/1 [37:11<26:40, 3264.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:11> Block 289 of 565 complete - 51.15 % - created peptides 181,712 \n" + "2022-03-27 05:57:48> Block 289 of 565 complete - 51.15 % - created peptides 165,394 - total peptides 48,033,454 \n" ] }, { @@ -11674,14 +11648,14 @@ "output_type": "stream", "text": [ "\r", - " 51%|█████████████████████████████████▊ | 0.511504424778761/1 [38:08<26:13, 3220.36s/it]" + " 51%|█████████████████████████████████▊ | 0.511504424778761/1 [37:16<25:18, 3108.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:15> Block 290 of 565 complete - 51.33 % - created peptides 164,938 \n" + "2022-03-27 05:57:53> Block 290 of 565 complete - 51.33 % - created peptides 164,938 - total peptides 48,198,392 \n" ] }, { @@ -11689,14 +11663,14 @@ "output_type": "stream", "text": [ "\r", - " 51%|█████████████████████████████████▎ | 0.5132743362831859/1 [38:13<24:54, 3070.99s/it]" + " 51%|█████████████████████████████████▎ | 0.5132743362831859/1 [37:21<24:16, 2992.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:20> Block 291 of 565 complete - 51.50 % - created peptides 165,394 \n" + "2022-03-27 05:57:58> Block 291 of 565 complete - 51.50 % - created peptides 181,712 - total peptides 48,380,104 \n" ] }, { @@ -11704,14 +11678,14 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████████████████████████████████▍ | 0.5150442477876106/1 [38:18<23:57, 2963.60s/it]" + " 52%|█████████████████████████████████▍ | 0.5150442477876106/1 [37:26<23:35, 2919.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:25> Block 292 of 565 complete - 51.68 % - created peptides 165,144 \n" + "2022-03-27 05:58:02> Block 292 of 565 complete - 51.68 % - created peptides 165,144 - total peptides 48,545,248 \n" ] }, { @@ -11719,14 +11693,14 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████████████████████████████████▌ | 0.5168141592920354/1 [38:22<23:14, 2885.45s/it]" + " 52%|█████████████████████████████████▌ | 0.5168141592920354/1 [37:31<23:04, 2865.15s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:30> Block 293 of 565 complete - 51.86 % - created peptides 156,556 \n" + "2022-03-27 05:58:07> Block 293 of 565 complete - 51.86 % - created peptides 156,556 - total peptides 48,701,804 \n" ] }, { @@ -11734,14 +11708,14 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████████████████████████████████▋ | 0.5185840707964602/1 [38:32<30:03, 3745.49s/it]" + " 52%|█████████████████████████████████▋ | 0.5185840707964602/1 [37:41<29:49, 3716.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:40> Block 294 of 565 complete - 52.04 % - created peptides 179,338 \n" + "2022-03-27 05:58:17> Block 294 of 565 complete - 52.04 % - created peptides 173,302 - total peptides 48,875,106 \n" ] }, { @@ -11749,14 +11723,14 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████████████████████████████████▊ | 0.5203539823008849/1 [38:37<27:27, 3435.50s/it]" + " 52%|█████████████████████████████████▊ | 0.5203539823008849/1 [37:46<27:21, 3422.92s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:45> Block 295 of 565 complete - 52.21 % - created peptides 188,184 \n" + "2022-03-27 05:58:22> Block 295 of 565 complete - 52.21 % - created peptides 179,338 - total peptides 49,054,444 \n" ] }, { @@ -11764,14 +11738,14 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████████████████████████████████▉ | 0.5221238938053098/1 [38:42<25:41, 3226.31s/it]" + " 52%|█████████████████████████████████▉ | 0.5221238938053098/1 [37:51<25:39, 3221.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:50> Block 296 of 565 complete - 52.39 % - created peptides 173,302 \n" + "2022-03-27 05:58:27> Block 296 of 565 complete - 52.39 % - created peptides 188,184 - total peptides 49,242,628 \n" ] }, { @@ -11779,14 +11753,14 @@ "output_type": "stream", "text": [ "\r", - " 52%|██████████████████████████████████ | 0.5238938053097345/1 [38:47<24:25, 3077.88s/it]" + " 52%|██████████████████████████████████ | 0.5238938053097345/1 [37:55<24:26, 3079.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:55> Block 297 of 565 complete - 52.57 % - created peptides 188,870 \n" + "2022-03-27 05:58:32> Block 297 of 565 complete - 52.57 % - created peptides 188,870 - total peptides 49,431,498 \n" ] }, { @@ -11794,14 +11768,14 @@ "output_type": "stream", "text": [ "\r", - " 53%|██████████████████████████████████▏ | 0.5256637168141592/1 [38:52<23:31, 2975.86s/it]" + " 53%|██████████████████████████████████▏ | 0.5256637168141592/1 [38:00<23:40, 2993.89s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:56:59> Block 298 of 565 complete - 52.74 % - created peptides 181,956 \n" + "2022-03-27 05:58:37> Block 298 of 565 complete - 52.74 % - created peptides 181,956 - total peptides 49,613,454 \n" ] }, { @@ -11809,14 +11783,14 @@ "output_type": "stream", "text": [ "\r", - " 53%|██████████████████████████████████▎ | 0.5274336283185841/1 [38:57<22:56, 2912.15s/it]" + " 53%|██████████████████████████████████▎ | 0.5274336283185841/1 [38:05<23:08, 2938.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:57:04> Block 299 of 565 complete - 52.92 % - created peptides 169,488 \n" + "2022-03-27 05:58:42> Block 299 of 565 complete - 52.92 % - created peptides 169,488 - total peptides 49,782,942 \n" ] }, { @@ -11824,14 +11798,14 @@ "output_type": "stream", "text": [ "\r", - " 53%|██████████████████████████████████▍ | 0.5292035398230088/1 [39:07<29:43, 3787.59s/it]" + " 53%|██████████████████████████████████▍ | 0.5292035398230088/1 [38:16<29:42, 3785.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:57:15> Block 300 of 565 complete - 53.10 % - created peptides 176,162 \n" + "2022-03-27 05:58:52> Block 300 of 565 complete - 53.10 % - created peptides 164,634 - total peptides 49,947,576 \n" ] }, { @@ -11839,14 +11813,14 @@ "output_type": "stream", "text": [ "\r", - " 53%|██████████████████████████████████▌ | 0.5309734513274337/1 [39:12<27:24, 3505.57s/it]" + " 53%|██████████████████████████████████▌ | 0.5309734513274337/1 [38:20<27:12, 3480.60s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:57:20> Block 301 of 565 complete - 53.27 % - created peptides 164,634 \n" + "2022-03-27 05:58:57> Block 301 of 565 complete - 53.27 % - created peptides 176,162 - total peptides 50,123,738 \n" ] }, { @@ -11854,14 +11828,14 @@ "output_type": "stream", "text": [ "\r", - " 53%|██████████████████████████████████▋ | 0.5327433628318584/1 [39:17<25:43, 3304.27s/it]" + " 53%|██████████████████████████████████▋ | 0.5327433628318584/1 [38:25<25:28, 3270.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:57:25> Block 302 of 565 complete - 53.45 % - created peptides 179,786 \n" + "2022-03-27 05:59:02> Block 302 of 565 complete - 53.45 % - created peptides 179,786 - total peptides 50,303,524 \n" ] }, { @@ -11869,14 +11843,14 @@ "output_type": "stream", "text": [ "\r", - " 53%|██████████████████████████████████▋ | 0.5345132743362832/1 [39:22<24:27, 3152.40s/it]" + " 53%|██████████████████████████████████▋ | 0.5345132743362832/1 [38:30<24:13, 3122.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:57:30> Block 303 of 565 complete - 53.63 % - created peptides 141,970 \n" + "2022-03-27 05:59:07> Block 303 of 565 complete - 53.63 % - created peptides 148,462 - total peptides 50,451,986 \n" ] }, { @@ -11884,14 +11858,14 @@ "output_type": "stream", "text": [ "\r", - " 54%|███████████████████████████████████▍ | 0.536283185840708/1 [39:27<23:34, 3050.14s/it]" + " 54%|███████████████████████████████████▍ | 0.536283185840708/1 [38:35<23:15, 3009.96s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:57:35> Block 304 of 565 complete - 53.81 % - created peptides 170,556 \n" + "2022-03-27 05:59:12> Block 304 of 565 complete - 53.81 % - created peptides 141,970 - total peptides 50,593,956 \n" ] }, { @@ -11899,14 +11873,14 @@ "output_type": "stream", "text": [ "\r", - " 54%|██████████████████████████████████▉ | 0.5380530973451327/1 [39:32<22:51, 2967.94s/it]" + " 54%|██████████████████████████████████▉ | 0.5380530973451327/1 [38:40<22:36, 2936.86s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:57:39> Block 305 of 565 complete - 53.98 % - created peptides 148,462 \n" + "2022-03-27 05:59:17> Block 305 of 565 complete - 53.98 % - created peptides 170,556 - total peptides 50,764,512 \n" ] }, { @@ -11914,14 +11888,14 @@ "output_type": "stream", "text": [ "\r", - " 54%|███████████████████████████████████ | 0.5398230088495575/1 [39:42<29:17, 3819.37s/it]" + " 54%|███████████████████████████████████ | 0.5398230088495575/1 [38:50<28:44, 3747.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:57:50> Block 306 of 565 complete - 54.16 % - created peptides 170,908 \n" + "2022-03-27 05:59:27> Block 306 of 565 complete - 54.16 % - created peptides 170,908 - total peptides 50,935,420 \n" ] }, { @@ -11929,14 +11903,14 @@ "output_type": "stream", "text": [ "\r", - " 54%|███████████████████████████████████▏ | 0.5415929203539823/1 [39:47<26:43, 3498.84s/it]" + " 54%|███████████████████████████████████▏ | 0.5415929203539823/1 [38:55<26:22, 3451.35s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:57:55> Block 307 of 565 complete - 54.34 % - created peptides 172,792 \n" + "2022-03-27 05:59:31> Block 307 of 565 complete - 54.34 % - created peptides 172,792 - total peptides 51,108,212 \n" ] }, { @@ -11944,14 +11918,14 @@ "output_type": "stream", "text": [ "\r", - " 54%|███████████████████████████████████▎ | 0.5433628318584071/1 [39:52<24:57, 3279.79s/it]" + " 54%|███████████████████████████████████▎ | 0.5433628318584071/1 [39:00<24:44, 3249.86s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:00> Block 308 of 565 complete - 54.51 % - created peptides 176,460 \n" + "2022-03-27 05:59:36> Block 308 of 565 complete - 54.51 % - created peptides 180,000 - total peptides 51,288,212 \n" ] }, { @@ -11959,14 +11933,14 @@ "output_type": "stream", "text": [ "\r", - " 55%|███████████████████████████████████▍ | 0.5451327433628319/1 [39:57<23:41, 3126.09s/it]" + " 55%|███████████████████████████████████▍ | 0.5451327433628319/1 [39:05<23:32, 3106.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:04> Block 309 of 565 complete - 54.69 % - created peptides 180,000 \n" + "2022-03-27 05:59:41> Block 309 of 565 complete - 54.69 % - created peptides 170,328 - total peptides 51,458,540 \n" ] }, { @@ -11974,14 +11948,14 @@ "output_type": "stream", "text": [ "\r", - " 55%|███████████████████████████████████▌ | 0.5469026548672566/1 [40:02<22:46, 3015.20s/it]" + " 55%|███████████████████████████████████▌ | 0.5469026548672566/1 [39:10<22:46, 3016.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:09> Block 310 of 565 complete - 54.87 % - created peptides 170,328 \n" + "2022-03-27 05:59:46> Block 310 of 565 complete - 54.87 % - created peptides 176,460 - total peptides 51,635,000 \n" ] }, { @@ -11989,14 +11963,14 @@ "output_type": "stream", "text": [ "\r", - " 55%|███████████████████████████████████▋ | 0.5486725663716814/1 [40:07<22:04, 2933.85s/it]" + " 55%|███████████████████████████████████▋ | 0.5486725663716814/1 [39:15<22:13, 2953.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:14> Block 311 of 565 complete - 55.04 % - created peptides 191,162 \n" + "2022-03-27 05:59:51> Block 311 of 565 complete - 55.04 % - created peptides 191,162 - total peptides 51,826,162 \n" ] }, { @@ -12004,14 +11978,14 @@ "output_type": "stream", "text": [ "\r", - " 55%|███████████████████████████████████▊ | 0.5504424778761062/1 [40:17<28:12, 3763.98s/it]" + " 55%|███████████████████████████████████▊ | 0.5504424778761062/1 [39:24<27:57, 3730.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:24> Block 312 of 565 complete - 55.22 % - created peptides 116,384 \n" + "2022-03-27 06:00:01> Block 312 of 565 complete - 55.22 % - created peptides 116,148 - total peptides 51,942,310 \n" ] }, { @@ -12019,14 +11993,14 @@ "output_type": "stream", "text": [ "\r", - " 55%|████████████████████████████████████▍ | 0.552212389380531/1 [40:22<25:44, 3449.60s/it]" + " 55%|████████████████████████████████████▍ | 0.552212389380531/1 [39:29<25:35, 3428.14s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:29> Block 313 of 565 complete - 55.40 % - created peptides 175,306 \n" + "2022-03-27 06:00:06> Block 313 of 565 complete - 55.40 % - created peptides 116,384 - total peptides 52,058,694 \n" ] }, { @@ -12034,14 +12008,14 @@ "output_type": "stream", "text": [ "\r", - " 55%|████████████████████████████████████ | 0.5539823008849557/1 [40:26<24:08, 3247.01s/it]" + " 55%|████████████████████████████████████ | 0.5539823008849557/1 [39:34<23:56, 3220.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:34> Block 314 of 565 complete - 55.58 % - created peptides 154,638 \n" + "2022-03-27 06:00:11> Block 314 of 565 complete - 55.58 % - created peptides 169,578 - total peptides 52,228,272 \n" ] }, { @@ -12049,14 +12023,14 @@ "output_type": "stream", "text": [ "\r", - " 56%|████████████████████████████████████ | 0.5557522123893806/1 [40:31<22:53, 3092.78s/it]" + " 56%|████████████████████████████████████ | 0.5557522123893806/1 [39:39<22:53, 3091.77s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:39> Block 315 of 565 complete - 55.75 % - created peptides 116,148 \n" + "2022-03-27 06:00:16> Block 315 of 565 complete - 55.75 % - created peptides 175,306 - total peptides 52,403,578 \n" ] }, { @@ -12064,14 +12038,14 @@ "output_type": "stream", "text": [ "\r", - " 56%|████████████████████████████████████▏ | 0.5575221238938053/1 [40:36<21:57, 2976.76s/it]" + " 56%|████████████████████████████████████▏ | 0.5575221238938053/1 [39:44<22:10, 3007.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:44> Block 316 of 565 complete - 55.93 % - created peptides 192,284 \n" + "2022-03-27 06:00:21> Block 316 of 565 complete - 55.93 % - created peptides 192,284 - total peptides 52,595,862 \n" ] }, { @@ -12079,14 +12053,14 @@ "output_type": "stream", "text": [ "\r", - " 56%|████████████████████████████████████▎ | 0.5592920353982301/1 [40:41<21:24, 2914.06s/it]" + " 56%|████████████████████████████████████▎ | 0.5592920353982301/1 [39:54<28:01, 3814.69s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:48> Block 317 of 565 complete - 56.11 % - created peptides 169,578 \n" + "2022-03-27 06:00:31> Block 317 of 565 complete - 56.11 % - created peptides 154,638 - total peptides 52,750,500 \n" ] }, { @@ -12094,14 +12068,14 @@ "output_type": "stream", "text": [ "\r", - " 56%|████████████████████████████████████▍ | 0.5610619469026549/1 [40:51<27:22, 3742.21s/it]" + " 56%|████████████████████████████████████▍ | 0.5610619469026549/1 [39:59<25:38, 3505.77s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:58:59> Block 318 of 565 complete - 56.28 % - created peptides 175,896 \n" + "2022-03-27 06:00:36> Block 318 of 565 complete - 56.28 % - created peptides 175,896 - total peptides 52,926,396 \n" ] }, { @@ -12109,14 +12083,14 @@ "output_type": "stream", "text": [ "\r", - " 56%|████████████████████████████████████▌ | 0.5628318584070796/1 [40:56<25:11, 3458.45s/it]" + " 56%|████████████████████████████████████▌ | 0.5628318584070796/1 [40:04<23:59, 3292.43s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:03> Block 319 of 565 complete - 56.46 % - created peptides 165,282 \n" + "2022-03-27 06:00:41> Block 319 of 565 complete - 56.46 % - created peptides 165,282 - total peptides 53,091,678 \n" ] }, { @@ -12124,14 +12098,14 @@ "output_type": "stream", "text": [ "\r", - " 56%|████████████████████████████████████▋ | 0.5646017699115045/1 [41:01<23:37, 3255.10s/it]" + " 56%|████████████████████████████████████▋ | 0.5646017699115045/1 [40:09<22:49, 3144.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:08> Block 320 of 565 complete - 56.64 % - created peptides 191,408 \n" + "2022-03-27 06:00:45> Block 320 of 565 complete - 56.64 % - created peptides 180,596 - total peptides 53,272,274 \n" ] }, { @@ -12139,14 +12113,14 @@ "output_type": "stream", "text": [ "\r", - " 57%|████████████████████████████████████▊ | 0.5663716814159292/1 [41:06<22:31, 3117.17s/it]" + " 57%|████████████████████████████████████▊ | 0.5663716814159292/1 [40:14<21:57, 3037.84s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:13> Block 321 of 565 complete - 56.81 % - created peptides 180,596 \n" + "2022-03-27 06:00:50> Block 321 of 565 complete - 56.81 % - created peptides 191,408 - total peptides 53,463,682 \n" ] }, { @@ -12154,14 +12128,14 @@ "output_type": "stream", "text": [ "\r", - " 57%|████████████████████████████████████▉ | 0.5681415929203539/1 [41:11<21:39, 3009.58s/it]" + " 57%|████████████████████████████████████▉ | 0.5681415929203539/1 [40:19<21:20, 2965.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:18> Block 322 of 565 complete - 56.99 % - created peptides 173,232 \n" + "2022-03-27 06:00:55> Block 322 of 565 complete - 56.99 % - created peptides 173,232 - total peptides 53,636,914 \n" ] }, { @@ -12169,14 +12143,14 @@ "output_type": "stream", "text": [ "\r", - " 57%|█████████████████████████████████████ | 0.5699115044247788/1 [41:16<21:02, 2935.77s/it]" + " 57%|█████████████████████████████████████ | 0.5699115044247788/1 [40:29<26:43, 3727.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:23> Block 323 of 565 complete - 57.17 % - created peptides 196,676 \n" + "2022-03-27 06:01:05> Block 323 of 565 complete - 57.17 % - created peptides 180,916 - total peptides 53,817,830 \n" ] }, { @@ -12184,14 +12158,14 @@ "output_type": "stream", "text": [ "\r", - " 57%|█████████████████████████████████████▏ | 0.5716814159292035/1 [41:25<26:32, 3718.71s/it]" + " 57%|█████████████████████████████████████▏ | 0.5716814159292035/1 [40:34<24:41, 3459.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:33> Block 324 of 565 complete - 57.35 % - created peptides 180,916 \n" + "2022-03-27 06:01:10> Block 324 of 565 complete - 57.35 % - created peptides 196,676 - total peptides 54,014,506 \n" ] }, { @@ -12199,14 +12173,14 @@ "output_type": "stream", "text": [ "\r", - " 57%|█████████████████████████████████████▎ | 0.5734513274336284/1 [41:30<24:26, 3437.27s/it]" + " 57%|█████████████████████████████████████▎ | 0.5734513274336284/1 [40:39<23:14, 3268.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:38> Block 325 of 565 complete - 57.52 % - created peptides 163,186 \n" + "2022-03-27 06:01:15> Block 325 of 565 complete - 57.52 % - created peptides 181,472 - total peptides 54,195,978 \n" ] }, { @@ -12214,14 +12188,14 @@ "output_type": "stream", "text": [ "\r", - " 58%|█████████████████████████████████████▍ | 0.5752212389380531/1 [41:35<22:55, 3238.16s/it]" + " 58%|█████████████████████████████████████▍ | 0.5752212389380531/1 [40:44<22:09, 3129.04s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:43> Block 326 of 565 complete - 57.70 % - created peptides 181,472 \n" + "2022-03-27 06:01:20> Block 326 of 565 complete - 57.70 % - created peptides 163,186 - total peptides 54,359,164 \n" ] }, { @@ -12229,14 +12203,14 @@ "output_type": "stream", "text": [ "\r", - " 58%|█████████████████████████████████████▌ | 0.5769911504424778/1 [41:40<21:49, 3096.33s/it]" + " 58%|█████████████████████████████████████▌ | 0.5769911504424778/1 [40:49<21:23, 3033.84s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:48> Block 327 of 565 complete - 57.88 % - created peptides 171,560 \n" + "2022-03-27 06:01:25> Block 327 of 565 complete - 57.88 % - created peptides 171,560 - total peptides 54,530,724 \n" ] }, { @@ -12244,14 +12218,14 @@ "output_type": "stream", "text": [ "\r", - " 58%|█████████████████████████████████████▌ | 0.5787610619469027/1 [41:45<21:08, 3010.96s/it]" + " 58%|█████████████████████████████████████▌ | 0.5787610619469027/1 [40:58<26:40, 3800.23s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 04:59:53> Block 328 of 565 complete - 58.05 % - created peptides 167,256 \n" + "2022-03-27 06:01:35> Block 328 of 565 complete - 58.05 % - created peptides 167,256 - total peptides 54,697,980 \n" ] }, { @@ -12259,14 +12233,14 @@ "output_type": "stream", "text": [ "\r", - " 58%|█████████████████████████████████████▋ | 0.5805309734513274/1 [41:55<26:26, 3783.19s/it]" + " 58%|█████████████████████████████████████▋ | 0.5805309734513274/1 [41:03<24:28, 3499.77s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:03> Block 329 of 565 complete - 58.23 % - created peptides 189,962 \n" + "2022-03-27 06:01:40> Block 329 of 565 complete - 58.23 % - created peptides 169,494 - total peptides 54,867,474 \n" ] }, { @@ -12274,14 +12248,14 @@ "output_type": "stream", "text": [ "\r", - " 58%|█████████████████████████████████████▊ | 0.5823008849557522/1 [42:00<24:16, 3487.49s/it]" + " 58%|█████████████████████████████████████▊ | 0.5823008849557522/1 [41:08<22:56, 3295.22s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:07> Block 330 of 565 complete - 58.41 % - created peptides 185,706 \n" + "2022-03-27 06:01:45> Block 330 of 565 complete - 58.41 % - created peptides 189,962 - total peptides 55,057,436 \n" ] }, { @@ -12289,14 +12263,14 @@ "output_type": "stream", "text": [ "\r", - " 58%|██████████████████████████████████████▌ | 0.584070796460177/1 [42:05<22:47, 3286.64s/it]" + " 58%|██████████████████████████████████████▌ | 0.584070796460177/1 [41:13<21:53, 3158.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:12> Block 331 of 565 complete - 58.58 % - created peptides 169,494 \n" + "2022-03-27 06:01:50> Block 331 of 565 complete - 58.58 % - created peptides 172,384 - total peptides 55,229,820 \n" ] }, { @@ -12304,14 +12278,14 @@ "output_type": "stream", "text": [ "\r", - " 59%|██████████████████████████████████████ | 0.5858407079646017/1 [42:10<21:40, 3140.72s/it]" + " 59%|██████████████████████████████████████ | 0.5858407079646017/1 [41:18<21:06, 3057.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:17> Block 332 of 565 complete - 58.76 % - created peptides 172,384 \n" + "2022-03-27 06:01:55> Block 332 of 565 complete - 58.76 % - created peptides 185,706 - total peptides 55,415,526 \n" ] }, { @@ -12319,14 +12293,14 @@ "output_type": "stream", "text": [ "\r", - " 59%|██████████████████████████████████████▏ | 0.5876106194690266/1 [42:15<20:53, 3039.34s/it]" + " 59%|██████████████████████████████████████▏ | 0.5876106194690266/1 [41:23<20:29, 2982.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:22> Block 333 of 565 complete - 58.94 % - created peptides 184,252 \n" + "2022-03-27 06:02:00> Block 333 of 565 complete - 58.94 % - created peptides 184,252 - total peptides 55,599,778 \n" ] }, { @@ -12334,14 +12308,14 @@ "output_type": "stream", "text": [ "\r", - " 59%|██████████████████████████████████████▎ | 0.5893805309734513/1 [42:20<20:20, 2973.47s/it]" + " 59%|██████████████████████████████████████▎ | 0.5893805309734513/1 [41:33<25:18, 3698.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:27> Block 334 of 565 complete - 59.12 % - created peptides 188,104 \n" + "2022-03-27 06:02:09> Block 334 of 565 complete - 59.12 % - created peptides 178,572 - total peptides 55,778,350 \n" ] }, { @@ -12349,14 +12323,14 @@ "output_type": "stream", "text": [ "\r", - " 59%|██████████████████████████████████████▍ | 0.5911504424778761/1 [42:29<25:06, 3683.68s/it]" + " 59%|██████████████████████████████████████▍ | 0.5911504424778761/1 [41:38<23:22, 3429.51s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:37> Block 335 of 565 complete - 59.29 % - created peptides 179,610 \n" + "2022-03-27 06:02:14> Block 335 of 565 complete - 59.29 % - created peptides 153,378 - total peptides 55,931,728 \n" ] }, { @@ -12364,14 +12338,14 @@ "output_type": "stream", "text": [ "\r", - " 59%|██████████████████████████████████████▌ | 0.5929203539823009/1 [42:34<23:11, 3419.22s/it]" + " 59%|██████████████████████████████████████▌ | 0.5929203539823009/1 [41:43<21:57, 3237.22s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:42> Block 336 of 565 complete - 59.47 % - created peptides 178,572 \n" + "2022-03-27 06:02:19> Block 336 of 565 complete - 59.47 % - created peptides 188,104 - total peptides 56,119,832 \n" ] }, { @@ -12379,14 +12353,14 @@ "output_type": "stream", "text": [ "\r", - " 59%|██████████████████████████████████████▋ | 0.5946902654867257/1 [42:39<21:51, 3234.65s/it]" + " 59%|██████████████████████████████████████▋ | 0.5946902654867257/1 [41:48<21:02, 3114.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:47> Block 337 of 565 complete - 59.65 % - created peptides 153,378 \n" + "2022-03-27 06:02:24> Block 337 of 565 complete - 59.65 % - created peptides 179,610 - total peptides 56,299,442 \n" ] }, { @@ -12394,14 +12368,14 @@ "output_type": "stream", "text": [ "\r", - " 60%|██████████████████████████████████████▊ | 0.5964601769911504/1 [42:44<20:52, 3104.83s/it]" + " 60%|██████████████████████████████████████▊ | 0.5964601769911504/1 [41:53<20:21, 3026.35s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:52> Block 338 of 565 complete - 59.82 % - created peptides 176,548 \n" + "2022-03-27 06:02:29> Block 338 of 565 complete - 59.82 % - created peptides 185,934 - total peptides 56,485,376 \n" ] }, { @@ -12409,14 +12383,14 @@ "output_type": "stream", "text": [ "\r", - " 60%|██████████████████████████████████████▉ | 0.5982300884955752/1 [42:49<20:10, 3012.61s/it]" + " 60%|██████████████████████████████████████▉ | 0.5982300884955752/1 [42:02<25:02, 3739.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:00:57> Block 339 of 565 complete - 60.00 % - created peptides 188,972 \n" + "2022-03-27 06:02:39> Block 339 of 565 complete - 60.00 % - created peptides 176,548 - total peptides 56,661,924 \n" ] }, { @@ -12424,14 +12398,14 @@ "output_type": "stream", "text": [ "\r", - " 60%|████████████████████████████████████████████████ | 0.6/1 [42:59<24:46, 3715.70s/it]" + " 60%|████████████████████████████████████████████████ | 0.6/1 [42:07<23:05, 3464.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:06> Block 340 of 565 complete - 60.18 % - created peptides 185,934 \n" + "2022-03-27 06:02:44> Block 340 of 565 complete - 60.18 % - created peptides 188,972 - total peptides 56,850,896 \n" ] }, { @@ -12439,14 +12413,14 @@ "output_type": "stream", "text": [ "\r", - " 60%|███████████████████████████████████████ | 0.6017699115044248/1 [43:04<22:51, 3443.15s/it]" + " 60%|███████████████████████████████████████ | 0.6017699115044248/1 [42:12<21:48, 3284.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:11> Block 341 of 565 complete - 60.35 % - created peptides 173,494 \n" + "2022-03-27 06:02:49> Block 341 of 565 complete - 60.35 % - created peptides 173,494 - total peptides 57,024,390 \n" ] }, { @@ -12454,14 +12428,14 @@ "output_type": "stream", "text": [ "\r", - " 60%|███████████████████████████████████████▏ | 0.6035398230088496/1 [43:09<21:28, 3250.12s/it]" + " 60%|███████████████████████████████████████▏ | 0.6035398230088496/1 [42:17<20:46, 3143.92s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:16> Block 342 of 565 complete - 60.53 % - created peptides 178,800 \n" + "2022-03-27 06:02:54> Block 342 of 565 complete - 60.53 % - created peptides 178,800 - total peptides 57,203,190 \n" ] }, { @@ -12469,14 +12443,14 @@ "output_type": "stream", "text": [ "\r", - " 61%|███████████████████████████████████████▎ | 0.6053097345132743/1 [43:13<20:27, 3110.25s/it]" + " 61%|███████████████████████████████████████▎ | 0.6053097345132743/1 [42:22<20:05, 3054.73s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:21> Block 343 of 565 complete - 60.71 % - created peptides 168,838 \n" + "2022-03-27 06:02:59> Block 343 of 565 complete - 60.71 % - created peptides 168,666 - total peptides 57,371,856 \n" ] }, { @@ -12484,14 +12458,14 @@ "output_type": "stream", "text": [ "\r", - " 61%|███████████████████████████████████████▍ | 0.6070796460176991/1 [43:18<19:48, 3025.29s/it]" + " 61%|███████████████████████████████████████▍ | 0.6070796460176991/1 [42:32<24:30, 3741.25s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:26> Block 344 of 565 complete - 60.88 % - created peptides 168,666 \n" + "2022-03-27 06:03:08> Block 344 of 565 complete - 60.88 % - created peptides 168,838 - total peptides 57,540,694 \n" ] }, { @@ -12499,14 +12473,14 @@ "output_type": "stream", "text": [ "\r", - " 61%|███████████████████████████████████████▌ | 0.6088495575221239/1 [43:28<24:11, 3710.20s/it]" + " 61%|███████████████████████████████████████▌ | 0.6088495575221239/1 [42:37<22:35, 3464.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:35> Block 345 of 565 complete - 61.06 % - created peptides 158,722 \n" + "2022-03-27 06:03:13> Block 345 of 565 complete - 61.06 % - created peptides 158,722 - total peptides 57,699,416 \n" ] }, { @@ -12514,14 +12488,14 @@ "output_type": "stream", "text": [ "\r", - " 61%|███████████████████████████████████████▋ | 0.6106194690265486/1 [43:33<22:18, 3437.39s/it]" + " 61%|███████████████████████████████████████▋ | 0.6106194690265486/1 [42:42<21:11, 3264.99s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:40> Block 346 of 565 complete - 61.24 % - created peptides 188,174 \n" + "2022-03-27 06:03:18> Block 346 of 565 complete - 61.24 % - created peptides 158,220 - total peptides 57,857,636 \n" ] }, { @@ -12529,14 +12503,14 @@ "output_type": "stream", "text": [ "\r", - " 61%|███████████████████████████████████████▊ | 0.6123893805309735/1 [43:38<21:01, 3255.09s/it]" + " 61%|███████████████████████████████████████▊ | 0.6123893805309735/1 [42:47<20:10, 3123.23s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:45> Block 347 of 565 complete - 61.42 % - created peptides 158,220 \n" + "2022-03-27 06:03:23> Block 347 of 565 complete - 61.42 % - created peptides 169,380 - total peptides 58,027,016 \n" ] }, { @@ -12544,14 +12518,14 @@ "output_type": "stream", "text": [ "\r", - " 61%|███████████████████████████████████████▉ | 0.6141592920353982/1 [43:43<20:02, 3117.28s/it]" + " 61%|███████████████████████████████████████▉ | 0.6141592920353982/1 [42:52<19:35, 3046.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:50> Block 348 of 565 complete - 61.59 % - created peptides 169,380 \n" + "2022-03-27 06:03:28> Block 348 of 565 complete - 61.59 % - created peptides 188,174 - total peptides 58,215,190 \n" ] }, { @@ -12559,14 +12533,14 @@ "output_type": "stream", "text": [ "\r", - " 62%|████████████████████████████████████████ | 0.6159292035398231/1 [43:48<19:21, 3023.22s/it]" + " 62%|████████████████████████████████████████ | 0.6159292035398231/1 [43:01<23:46, 3715.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:01:55> Block 349 of 565 complete - 61.77 % - created peptides 167,380 \n" + "2022-03-27 06:03:38> Block 349 of 565 complete - 61.77 % - created peptides 176,276 - total peptides 58,391,466 \n" ] }, { @@ -12574,14 +12548,14 @@ "output_type": "stream", "text": [ "\r", - " 62%|████████████████████████████████████████▏ | 0.6176991150442478/1 [43:57<23:30, 3690.15s/it]" + " 62%|████████████████████████████████████████▏ | 0.6176991150442478/1 [43:06<21:57, 3445.09s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:05> Block 350 of 565 complete - 61.95 % - created peptides 176,276 \n" + "2022-03-27 06:03:43> Block 350 of 565 complete - 61.95 % - created peptides 182,286 - total peptides 58,573,752 \n" ] }, { @@ -12589,14 +12563,14 @@ "output_type": "stream", "text": [ "\r", - " 62%|████████████████████████████████████████▎ | 0.6194690265486725/1 [44:02<21:43, 3424.45s/it]" + " 62%|████████████████████████████████████████▎ | 0.6194690265486725/1 [43:11<20:42, 3265.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:10> Block 351 of 565 complete - 62.12 % - created peptides 182,286 \n" + "2022-03-27 06:03:48> Block 351 of 565 complete - 62.12 % - created peptides 167,380 - total peptides 58,741,132 \n" ] }, { @@ -12604,14 +12578,14 @@ "output_type": "stream", "text": [ "\r", - " 62%|████████████████████████████████████████▍ | 0.6212389380530974/1 [44:07<20:27, 3239.55s/it]" + " 62%|████████████████████████████████████████▍ | 0.6212389380530974/1 [43:16<19:47, 3135.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:14> Block 352 of 565 complete - 62.30 % - created peptides 192,790 \n" + "2022-03-27 06:03:53> Block 352 of 565 complete - 62.30 % - created peptides 192,790 - total peptides 58,933,922 \n" ] }, { @@ -12619,14 +12593,14 @@ "output_type": "stream", "text": [ "\r", - " 62%|████████████████████████████████████████▍ | 0.6230088495575221/1 [44:12<19:34, 3115.34s/it]" + " 62%|████████████████████████████████████████▍ | 0.6230088495575221/1 [43:26<24:06, 3836.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:19> Block 353 of 565 complete - 62.48 % - created peptides 177,034 \n" + "2022-03-27 06:04:02> Block 353 of 565 complete - 62.48 % - created peptides 162,012 - total peptides 59,095,934 \n" ] }, { @@ -12634,14 +12608,14 @@ "output_type": "stream", "text": [ "\r", - " 62%|████████████████████████████████████████▌ | 0.6247787610619469/1 [44:21<23:45, 3799.81s/it]" + " 62%|████████████████████████████████████████▌ | 0.6247787610619469/1 [43:31<22:02, 3523.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:29> Block 354 of 565 complete - 62.65 % - created peptides 178,536 \n" + "2022-03-27 06:04:07> Block 354 of 565 complete - 62.65 % - created peptides 161,350 - total peptides 59,257,284 \n" ] }, { @@ -12649,14 +12623,14 @@ "output_type": "stream", "text": [ "\r", - " 63%|████████████████████████████████████████▋ | 0.6265486725663717/1 [44:26<21:47, 3502.12s/it]" + " 63%|████████████████████████████████████████▋ | 0.6265486725663717/1 [43:36<20:36, 3311.39s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:34> Block 355 of 565 complete - 62.83 % - created peptides 162,012 \n" + "2022-03-27 06:04:12> Block 355 of 565 complete - 62.83 % - created peptides 175,070 - total peptides 59,432,354 \n" ] }, { @@ -12664,14 +12638,14 @@ "output_type": "stream", "text": [ "\r", - " 63%|████████████████████████████████████████▊ | 0.6283185840707964/1 [44:31<20:23, 3292.23s/it]" + " 63%|████████████████████████████████████████▊ | 0.6283185840707964/1 [43:41<19:34, 3160.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:39> Block 356 of 565 complete - 63.01 % - created peptides 175,070 \n" + "2022-03-27 06:04:17> Block 356 of 565 complete - 63.01 % - created peptides 177,034 - total peptides 59,609,388 \n" ] }, { @@ -12679,14 +12653,14 @@ "output_type": "stream", "text": [ "\r", - " 63%|████████████████████████████████████████▉ | 0.6300884955752213/1 [44:36<19:24, 3147.96s/it]" + " 63%|████████████████████████████████████████▉ | 0.6300884955752213/1 [43:46<18:53, 3065.14s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:44> Block 357 of 565 complete - 63.19 % - created peptides 161,350 \n" + "2022-03-27 06:04:22> Block 357 of 565 complete - 63.19 % - created peptides 157,960 - total peptides 59,767,348 \n" ] }, { @@ -12694,14 +12668,14 @@ "output_type": "stream", "text": [ "\r", - " 63%|█████████████████████████████████████████▋ | 0.631858407079646/1 [44:41<18:42, 3049.56s/it]" + " 63%|█████████████████████████████████████████▋ | 0.631858407079646/1 [43:55<22:55, 3735.84s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:49> Block 358 of 565 complete - 63.36 % - created peptides 164,210 \n" + "2022-03-27 06:04:32> Block 358 of 565 complete - 63.36 % - created peptides 164,210 - total peptides 59,931,558 \n" ] }, { @@ -12709,14 +12683,14 @@ "output_type": "stream", "text": [ "\r", - " 63%|█████████████████████████████████████████▏ | 0.6336283185840708/1 [44:51<22:42, 3719.04s/it]" + " 63%|█████████████████████████████████████████▏ | 0.6336283185840708/1 [44:00<21:09, 3465.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:02:58> Block 359 of 565 complete - 63.54 % - created peptides 186,728 \n" + "2022-03-27 06:04:37> Block 359 of 565 complete - 63.54 % - created peptides 178,536 - total peptides 60,110,094 \n" ] }, { @@ -12724,14 +12698,14 @@ "output_type": "stream", "text": [ "\r", - " 64%|█████████████████████████████████████████▎ | 0.6353982300884956/1 [44:56<21:03, 3464.32s/it]" + " 64%|█████████████████████████████████████████▎ | 0.6353982300884956/1 [44:05<19:55, 3278.92s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:03> Block 360 of 565 complete - 63.72 % - created peptides 157,960 \n" + "2022-03-27 06:04:42> Block 360 of 565 complete - 63.72 % - created peptides 186,728 - total peptides 60,296,822 \n" ] }, { @@ -12739,14 +12713,14 @@ "output_type": "stream", "text": [ "\r", - " 64%|█████████████████████████████████████████▍ | 0.6371681415929203/1 [45:01<19:44, 3264.96s/it]" + " 64%|█████████████████████████████████████████▍ | 0.6371681415929203/1 [44:10<19:07, 3161.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:08> Block 361 of 565 complete - 63.89 % - created peptides 189,724 \n" + "2022-03-27 06:04:47> Block 361 of 565 complete - 63.89 % - created peptides 178,898 - total peptides 60,475,720 \n" ] }, { @@ -12754,14 +12728,14 @@ "output_type": "stream", "text": [ "\r", - " 64%|█████████████████████████████████████████▌ | 0.6389380530973451/1 [45:06<18:51, 3133.24s/it]" + " 64%|█████████████████████████████████████████▌ | 0.6389380530973451/1 [44:15<18:25, 3061.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:13> Block 362 of 565 complete - 64.07 % - created peptides 173,392 \n" + "2022-03-27 06:04:52> Block 362 of 565 complete - 64.07 % - created peptides 189,724 - total peptides 60,665,444 \n" ] }, { @@ -12769,14 +12743,14 @@ "output_type": "stream", "text": [ "\r", - " 64%|█████████████████████████████████████████▋ | 0.6407079646017699/1 [45:11<18:12, 3041.04s/it]" + " 64%|█████████████████████████████████████████▋ | 0.6407079646017699/1 [44:25<22:20, 3731.39s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:18> Block 363 of 565 complete - 64.25 % - created peptides 168,208 \n" + "2022-03-27 06:05:01> Block 363 of 565 complete - 64.25 % - created peptides 173,392 - total peptides 60,838,836 \n" ] }, { @@ -12784,14 +12758,14 @@ "output_type": "stream", "text": [ "\r", - " 64%|█████████████████████████████████████████▊ | 0.6424778761061947/1 [45:20<21:54, 3677.79s/it]" + " 64%|█████████████████████████████████████████▊ | 0.6424778761061947/1 [44:30<20:38, 3464.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:27> Block 364 of 565 complete - 64.42 % - created peptides 177,452 \n" + "2022-03-27 06:05:06> Block 364 of 565 complete - 64.42 % - created peptides 177,452 - total peptides 61,016,288 \n" ] }, { @@ -12799,14 +12773,14 @@ "output_type": "stream", "text": [ "\r", - " 64%|█████████████████████████████████████████▉ | 0.6442477876106195/1 [45:25<20:16, 3419.03s/it]" + " 64%|█████████████████████████████████████████▉ | 0.6442477876106195/1 [44:35<19:26, 3280.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:32> Block 365 of 565 complete - 64.60 % - created peptides 178,898 \n" + "2022-03-27 06:05:11> Block 365 of 565 complete - 64.60 % - created peptides 168,208 - total peptides 61,184,496 \n" ] }, { @@ -12814,14 +12788,14 @@ "output_type": "stream", "text": [ "\r", - " 65%|█████████████████████████████████████████▉ | 0.6460176991150443/1 [45:30<19:07, 3240.41s/it]" + " 65%|█████████████████████████████████████████▉ | 0.6460176991150443/1 [44:40<18:31, 3139.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:37> Block 366 of 565 complete - 64.78 % - created peptides 174,126 \n" + "2022-03-27 06:05:16> Block 366 of 565 complete - 64.78 % - created peptides 188,840 - total peptides 61,373,336 \n" ] }, { @@ -12829,14 +12803,14 @@ "output_type": "stream", "text": [ "\r", - " 65%|██████████████████████████████████████████▊ | 0.647787610619469/1 [45:35<18:16, 3112.31s/it]" + " 65%|██████████████████████████████████████████▊ | 0.647787610619469/1 [44:45<17:56, 3057.57s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:42> Block 367 of 565 complete - 64.96 % - created peptides 176,578 \n" + "2022-03-27 06:05:21> Block 367 of 565 complete - 64.96 % - created peptides 178,448 - total peptides 61,551,784 \n" ] }, { @@ -12844,14 +12818,14 @@ "output_type": "stream", "text": [ "\r", - " 65%|██████████████████████████████████████████▏ | 0.6495575221238938/1 [45:44<21:57, 3759.79s/it]" + " 65%|██████████████████████████████████████████▏ | 0.6495575221238938/1 [44:54<21:20, 3654.36s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:52> Block 368 of 565 complete - 65.13 % - created peptides 178,448 \n" + "2022-03-27 06:05:30> Block 368 of 565 complete - 65.13 % - created peptides 176,578 - total peptides 61,728,362 \n" ] }, { @@ -12859,14 +12833,14 @@ "output_type": "stream", "text": [ "\r", - " 65%|██████████████████████████████████████████▎ | 0.6513274336283186/1 [45:49<20:13, 3479.10s/it]" + " 65%|██████████████████████████████████████████▎ | 0.6513274336283186/1 [44:59<19:55, 3428.39s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:03:57> Block 369 of 565 complete - 65.31 % - created peptides 188,840 \n" + "2022-03-27 06:05:35> Block 369 of 565 complete - 65.31 % - created peptides 174,126 - total peptides 61,902,488 \n" ] }, { @@ -12874,14 +12848,14 @@ "output_type": "stream", "text": [ "\r", - " 65%|██████████████████████████████████████████▍ | 0.6530973451327433/1 [45:54<18:59, 3286.04s/it]" + " 65%|██████████████████████████████████████████▍ | 0.6530973451327433/1 [45:04<18:52, 3264.15s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:02> Block 370 of 565 complete - 65.49 % - created peptides 167,232 \n" + "2022-03-27 06:05:41> Block 370 of 565 complete - 65.49 % - created peptides 167,232 - total peptides 62,069,720 \n" ] }, { @@ -12889,14 +12863,14 @@ "output_type": "stream", "text": [ "\r", - " 65%|██████████████████████████████████████████▌ | 0.6548672566371682/1 [45:59<18:05, 3146.32s/it]" + " 65%|██████████████████████████████████████████▌ | 0.6548672566371682/1 [45:09<18:03, 3139.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:07> Block 371 of 565 complete - 65.66 % - created peptides 191,286 \n" + "2022-03-27 06:05:46> Block 371 of 565 complete - 65.66 % - created peptides 191,286 - total peptides 62,261,006 \n" ] }, { @@ -12904,14 +12878,14 @@ "output_type": "stream", "text": [ "\r", - " 66%|██████████████████████████████████████████▋ | 0.6566371681415929/1 [46:04<17:29, 3055.52s/it]" + " 66%|██████████████████████████████████████████▋ | 0.6566371681415929/1 [45:18<21:35, 3771.74s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:12> Block 372 of 565 complete - 65.84 % - created peptides 176,530 \n" + "2022-03-27 06:05:55> Block 372 of 565 complete - 65.84 % - created peptides 176,530 - total peptides 62,437,536 \n" ] }, { @@ -12919,14 +12893,14 @@ "output_type": "stream", "text": [ "\r", - " 66%|██████████████████████████████████████████▊ | 0.6584070796460177/1 [46:13<20:50, 3661.29s/it]" + " 66%|██████████████████████████████████████████▊ | 0.6584070796460177/1 [45:23<19:55, 3499.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:21> Block 373 of 565 complete - 66.02 % - created peptides 192,410 \n" + "2022-03-27 06:06:00> Block 373 of 565 complete - 66.02 % - created peptides 192,410 - total peptides 62,629,946 \n" ] }, { @@ -12934,14 +12908,14 @@ "output_type": "stream", "text": [ "\r", - " 66%|██████████████████████████████████████████▉ | 0.6601769911504425/1 [46:18<19:19, 3413.28s/it]" + " 66%|██████████████████████████████████████████▉ | 0.6601769911504425/1 [45:29<18:48, 3321.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:26> Block 374 of 565 complete - 66.19 % - created peptides 184,936 \n" + "2022-03-27 06:06:05> Block 374 of 565 complete - 66.19 % - created peptides 184,936 - total peptides 62,814,882 \n" ] }, { @@ -12949,14 +12923,14 @@ "output_type": "stream", "text": [ "\r", - " 66%|███████████████████████████████████████████ | 0.6619469026548672/1 [46:23<18:15, 3241.23s/it]" + " 66%|███████████████████████████████████████████ | 0.6619469026548672/1 [45:34<17:58, 3190.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:31> Block 375 of 565 complete - 66.37 % - created peptides 175,264 \n" + "2022-03-27 06:06:10> Block 375 of 565 complete - 66.37 % - created peptides 171,750 - total peptides 62,986,632 \n" ] }, { @@ -12964,14 +12938,14 @@ "output_type": "stream", "text": [ "\r", - " 66%|███████████████████████████████████████████▏ | 0.6637168141592921/1 [46:28<17:27, 3113.56s/it]" + " 66%|███████████████████████████████████████████▏ | 0.6637168141592921/1 [45:43<21:20, 3806.60s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:36> Block 376 of 565 complete - 66.55 % - created peptides 171,750 \n" + "2022-03-27 06:06:19> Block 376 of 565 complete - 66.55 % - created peptides 175,264 - total peptides 63,161,896 \n" ] }, { @@ -12979,14 +12953,14 @@ "output_type": "stream", "text": [ "\r", - " 67%|███████████████████████████████████████████▎ | 0.6654867256637168/1 [46:37<20:47, 3730.58s/it]" + " 67%|███████████████████████████████████████████▎ | 0.6654867256637168/1 [45:48<19:45, 3544.20s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:45> Block 377 of 565 complete - 66.73 % - created peptides 191,514 \n" + "2022-03-27 06:06:25> Block 377 of 565 complete - 66.73 % - created peptides 171,660 - total peptides 63,333,556 \n" ] }, { @@ -12994,14 +12968,14 @@ "output_type": "stream", "text": [ "\r", - " 67%|███████████████████████████████████████████▎ | 0.6672566371681415/1 [46:42<19:15, 3474.12s/it]" + " 67%|███████████████████████████████████████████▎ | 0.6672566371681415/1 [45:53<18:29, 3334.88s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:50> Block 378 of 565 complete - 66.90 % - created peptides 171,660 \n" + "2022-03-27 06:06:30> Block 378 of 565 complete - 66.90 % - created peptides 167,472 - total peptides 63,501,028 \n" ] }, { @@ -13009,14 +12983,14 @@ "output_type": "stream", "text": [ "\r", - " 67%|███████████████████████████████████████████▍ | 0.6690265486725664/1 [46:48<18:08, 3288.00s/it]" + " 67%|███████████████████████████████████████████▍ | 0.6690265486725664/1 [45:58<17:35, 3190.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:04:55> Block 379 of 565 complete - 67.08 % - created peptides 167,472 \n" + "2022-03-27 06:06:35> Block 379 of 565 complete - 67.08 % - created peptides 177,902 - total peptides 63,678,930 \n" ] }, { @@ -13024,14 +12998,14 @@ "output_type": "stream", "text": [ "\r", - " 67%|███████████████████████████████████████████▌ | 0.6707964601769911/1 [46:53<17:17, 3153.04s/it]" + " 67%|███████████████████████████████████████████▌ | 0.6707964601769911/1 [46:03<16:57, 3090.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:00> Block 380 of 565 complete - 67.26 % - created peptides 177,902 \n" + "2022-03-27 06:06:40> Block 380 of 565 complete - 67.26 % - created peptides 185,302 - total peptides 63,864,232 \n" ] }, { @@ -13039,14 +13013,14 @@ "output_type": "stream", "text": [ "\r", - " 67%|████████████████████████████████████████████▍ | 0.672566371681416/1 [47:02<20:32, 3763.22s/it]" + " 67%|████████████████████████████████████████████▍ | 0.672566371681416/1 [46:12<20:03, 3675.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:09> Block 381 of 565 complete - 67.43 % - created peptides 185,302 \n" + "2022-03-27 06:06:49> Block 381 of 565 complete - 67.43 % - created peptides 191,514 - total peptides 64,055,746 \n" ] }, { @@ -13054,14 +13028,14 @@ "output_type": "stream", "text": [ "\r", - " 67%|███████████████████████████████████████████▊ | 0.6743362831858407/1 [47:07<18:54, 3484.66s/it]" + " 67%|███████████████████████████████████████████▊ | 0.6743362831858407/1 [46:17<18:38, 3435.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:14> Block 382 of 565 complete - 67.61 % - created peptides 167,104 \n" + "2022-03-27 06:06:54> Block 382 of 565 complete - 67.61 % - created peptides 167,104 - total peptides 64,222,850 \n" ] }, { @@ -13069,14 +13043,14 @@ "output_type": "stream", "text": [ "\r", - " 68%|███████████████████████████████████████████▉ | 0.6761061946902654/1 [47:12<17:44, 3287.01s/it]" + " 68%|███████████████████████████████████████████▉ | 0.6761061946902654/1 [46:22<17:34, 3256.57s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:19> Block 383 of 565 complete - 67.79 % - created peptides 196,000 \n" + "2022-03-27 06:06:59> Block 383 of 565 complete - 67.79 % - created peptides 171,626 - total peptides 64,394,476 \n" ] }, { @@ -13084,14 +13058,14 @@ "output_type": "stream", "text": [ "\r", - " 68%|████████████████████████████████████████████ | 0.6778761061946903/1 [47:17<16:56, 3156.05s/it]" + " 68%|████████████████████████████████████████████ | 0.6778761061946903/1 [46:27<16:50, 3137.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:24> Block 384 of 565 complete - 67.96 % - created peptides 171,626 \n" + "2022-03-27 06:07:04> Block 384 of 565 complete - 67.96 % - created peptides 196,000 - total peptides 64,590,476 \n" ] }, { @@ -13099,14 +13073,14 @@ "output_type": "stream", "text": [ "\r", - " 68%|████████████████████████████████████████████▊ | 0.679646017699115/1 [47:26<20:04, 3759.93s/it]" + " 68%|████████████████████████████████████████████▊ | 0.679646017699115/1 [46:36<19:49, 3713.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:33> Block 385 of 565 complete - 68.14 % - created peptides 202,376 \n" + "2022-03-27 06:07:13> Block 385 of 565 complete - 68.14 % - created peptides 202,376 - total peptides 64,792,852 \n" ] }, { @@ -13114,14 +13088,14 @@ "output_type": "stream", "text": [ "\r", - " 68%|████████████████████████████████████████████▎ | 0.6814159292035398/1 [47:31<18:32, 3491.03s/it]" + " 68%|████████████████████████████████████████████▎ | 0.6814159292035398/1 [46:42<18:25, 3469.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:39> Block 386 of 565 complete - 68.32 % - created peptides 161,840 \n" + "2022-03-27 06:07:18> Block 386 of 565 complete - 68.32 % - created peptides 198,958 - total peptides 64,991,810 \n" ] }, { @@ -13129,14 +13103,14 @@ "output_type": "stream", "text": [ "\r", - " 68%|████████████████████████████████████████████▍ | 0.6831858407079646/1 [47:36<17:22, 3291.97s/it]" + " 68%|████████████████████████████████████████████▍ | 0.6831858407079646/1 [46:47<17:21, 3287.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:44> Block 387 of 565 complete - 68.50 % - created peptides 198,958 \n" + "2022-03-27 06:07:23> Block 387 of 565 complete - 68.50 % - created peptides 168,126 - total peptides 65,159,936 \n" ] }, { @@ -13144,14 +13118,14 @@ "output_type": "stream", "text": [ "\r", - " 68%|████████████████████████████████████████████▌ | 0.6849557522123894/1 [47:41<16:35, 3159.25s/it]" + " 68%|████████████████████████████████████████████▌ | 0.6849557522123894/1 [46:52<16:37, 3167.70s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:49> Block 388 of 565 complete - 68.67 % - created peptides 168,126 \n" + "2022-03-27 06:07:28> Block 388 of 565 complete - 68.67 % - created peptides 161,840 - total peptides 65,321,776 \n" ] }, { @@ -13159,14 +13133,14 @@ "output_type": "stream", "text": [ "\r", - " 69%|████████████████████████████████████████████▋ | 0.6867256637168142/1 [47:46<15:59, 3062.66s/it]" + " 69%|████████████████████████████████████████████▋ | 0.6867256637168142/1 [47:01<19:23, 3714.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:05:54> Block 389 of 565 complete - 68.85 % - created peptides 184,772 \n" + "2022-03-27 06:07:37> Block 389 of 565 complete - 68.85 % - created peptides 184,772 - total peptides 65,506,548 \n" ] }, { @@ -13174,14 +13148,14 @@ "output_type": "stream", "text": [ "\r", - " 69%|████████████████████████████████████████████▊ | 0.6884955752212389/1 [47:55<18:47, 3618.40s/it]" + " 69%|████████████████████████████████████████████▊ | 0.6884955752212389/1 [47:06<17:59, 3464.78s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:02> Block 390 of 565 complete - 69.03 % - created peptides 174,092 \n" + "2022-03-27 06:07:42> Block 390 of 565 complete - 69.03 % - created peptides 174,092 - total peptides 65,680,640 \n" ] }, { @@ -13189,14 +13163,14 @@ "output_type": "stream", "text": [ "\r", - " 69%|████████████████████████████████████████████▊ | 0.6902654867256637/1 [48:00<17:28, 3384.23s/it]" + " 69%|████████████████████████████████████████████▊ | 0.6902654867256637/1 [47:11<16:55, 3278.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:07> Block 391 of 565 complete - 69.20 % - created peptides 196,162 \n" + "2022-03-27 06:07:47> Block 391 of 565 complete - 69.20 % - created peptides 196,162 - total peptides 65,876,802 \n" ] }, { @@ -13204,14 +13178,14 @@ "output_type": "stream", "text": [ "\r", - " 69%|████████████████████████████████████████████▉ | 0.6920353982300885/1 [48:05<16:34, 3227.68s/it]" + " 69%|████████████████████████████████████████████▉ | 0.6920353982300885/1 [47:16<16:15, 3166.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:12> Block 392 of 565 complete - 69.38 % - created peptides 182,036 \n" + "2022-03-27 06:07:52> Block 392 of 565 complete - 69.38 % - created peptides 197,778 - total peptides 66,074,580 \n" ] }, { @@ -13219,14 +13193,14 @@ "output_type": "stream", "text": [ "\r", - " 69%|█████████████████████████████████████████████ | 0.6938053097345133/1 [48:10<15:53, 3114.39s/it]" + " 69%|█████████████████████████████████████████████ | 0.6938053097345133/1 [47:25<19:02, 3730.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:17> Block 393 of 565 complete - 69.56 % - created peptides 149,802 \n" + "2022-03-27 06:08:01> Block 393 of 565 complete - 69.56 % - created peptides 149,802 - total peptides 66,224,382 \n" ] }, { @@ -13234,14 +13208,14 @@ "output_type": "stream", "text": [ "\r", - " 70%|█████████████████████████████████████████████▉ | 0.695575221238938/1 [48:18<18:23, 3625.94s/it]" + " 70%|█████████████████████████████████████████████▉ | 0.695575221238938/1 [47:30<17:35, 3466.99s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:26> Block 394 of 565 complete - 69.73 % - created peptides 197,778 \n" + "2022-03-27 06:08:06> Block 394 of 565 complete - 69.73 % - created peptides 182,036 - total peptides 66,406,418 \n" ] }, { @@ -13249,14 +13223,14 @@ "output_type": "stream", "text": [ "\r", - " 70%|█████████████████████████████████████████████▎ | 0.6973451327433628/1 [48:24<17:08, 3399.10s/it]" + " 70%|█████████████████████████████████████████████▎ | 0.6973451327433628/1 [47:35<16:37, 3294.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:31> Block 395 of 565 complete - 69.91 % - created peptides 183,626 \n" + "2022-03-27 06:08:11> Block 395 of 565 complete - 69.91 % - created peptides 183,626 - total peptides 66,590,044 \n" ] }, { @@ -13264,14 +13238,14 @@ "output_type": "stream", "text": [ "\r", - " 70%|█████████████████████████████████████████████▍ | 0.6991150442477876/1 [48:29<16:13, 3234.31s/it]" + " 70%|█████████████████████████████████████████████▍ | 0.6991150442477876/1 [47:40<15:52, 3166.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:36> Block 396 of 565 complete - 70.09 % - created peptides 185,768 \n" + "2022-03-27 06:08:16> Block 396 of 565 complete - 70.09 % - created peptides 174,826 - total peptides 66,764,870 \n" ] }, { @@ -13279,14 +13253,14 @@ "output_type": "stream", "text": [ "\r", - " 70%|█████████████████████████████████████████████▌ | 0.7008849557522124/1 [48:38<18:50, 3779.28s/it]" + " 70%|█████████████████████████████████████████████▌ | 0.7008849557522124/1 [47:49<18:22, 3687.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:45> Block 397 of 565 complete - 70.27 % - created peptides 168,426 \n" + "2022-03-27 06:08:25> Block 397 of 565 complete - 70.27 % - created peptides 185,768 - total peptides 66,950,638 \n" ] }, { @@ -13294,14 +13268,14 @@ "output_type": "stream", "text": [ "\r", - " 70%|█████████████████████████████████████████████▋ | 0.7026548672566372/1 [48:43<17:21, 3503.19s/it]" + " 70%|█████████████████████████████████████████████▋ | 0.7026548672566372/1 [47:54<17:05, 3448.46s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:50> Block 398 of 565 complete - 70.44 % - created peptides 174,826 \n" + "2022-03-27 06:08:30> Block 398 of 565 complete - 70.44 % - created peptides 168,426 - total peptides 67,119,064 \n" ] }, { @@ -13309,14 +13283,14 @@ "output_type": "stream", "text": [ "\r", - " 70%|█████████████████████████████████████████████▊ | 0.7044247787610619/1 [48:48<16:18, 3308.82s/it]" + " 70%|█████████████████████████████████████████████▊ | 0.7044247787610619/1 [47:59<16:08, 3277.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:06:55> Block 399 of 565 complete - 70.62 % - created peptides 192,198 \n" + "2022-03-27 06:08:35> Block 399 of 565 complete - 70.62 % - created peptides 170,718 - total peptides 67,289,782 \n" ] }, { @@ -13324,14 +13298,14 @@ "output_type": "stream", "text": [ "\r", - " 71%|█████████████████████████████████████████████▉ | 0.7061946902654868/1 [48:53<15:35, 3184.82s/it]" + " 71%|█████████████████████████████████████████████▉ | 0.7061946902654868/1 [48:04<15:31, 3169.13s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:00> Block 400 of 565 complete - 70.80 % - created peptides 170,718 \n" + "2022-03-27 06:08:41> Block 400 of 565 complete - 70.80 % - created peptides 178,114 - total peptides 67,467,896 \n" ] }, { @@ -13339,14 +13313,14 @@ "output_type": "stream", "text": [ "\r", - " 71%|██████████████████████████████████████████████ | 0.7079646017699115/1 [49:02<18:07, 3722.56s/it]" + " 71%|██████████████████████████████████████████████ | 0.7079646017699115/1 [48:13<17:52, 3672.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:09> Block 401 of 565 complete - 70.97 % - created peptides 201,454 \n" + "2022-03-27 06:08:49> Block 401 of 565 complete - 70.97 % - created peptides 192,198 - total peptides 67,660,094 \n" ] }, { @@ -13354,14 +13328,14 @@ "output_type": "stream", "text": [ "\r", - " 71%|██████████████████████████████████████████████▏ | 0.7097345132743362/1 [49:07<16:46, 3467.56s/it]" + " 71%|██████████████████████████████████████████████▏ | 0.7097345132743362/1 [48:18<16:35, 3430.20s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:14> Block 402 of 565 complete - 71.15 % - created peptides 190,380 \n" + "2022-03-27 06:08:54> Block 402 of 565 complete - 71.15 % - created peptides 190,380 - total peptides 67,850,474 \n" ] }, { @@ -13369,14 +13343,14 @@ "output_type": "stream", "text": [ "\r", - " 71%|██████████████████████████████████████████████▏ | 0.7115044247787611/1 [49:12<15:48, 3287.38s/it]" + " 71%|██████████████████████████████████████████████▏ | 0.7115044247787611/1 [48:23<15:42, 3266.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:19> Block 403 of 565 complete - 71.33 % - created peptides 178,114 \n" + "2022-03-27 06:08:59> Block 403 of 565 complete - 71.33 % - created peptides 170,986 - total peptides 68,021,460 \n" ] }, { @@ -13384,14 +13358,14 @@ "output_type": "stream", "text": [ "\r", - " 71%|██████████████████████████████████████████████▎ | 0.7132743362831858/1 [49:17<15:08, 3167.89s/it]" + " 71%|██████████████████████████████████████████████▎ | 0.7132743362831858/1 [48:32<18:06, 3787.74s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:24> Block 404 of 565 complete - 71.50 % - created peptides 170,986 \n" + "2022-03-27 06:09:08> Block 404 of 565 complete - 71.50 % - created peptides 181,596 - total peptides 68,203,056 \n" ] }, { @@ -13399,14 +13373,14 @@ "output_type": "stream", "text": [ "\r", - " 72%|██████████████████████████████████████████████▍ | 0.7150442477876107/1 [49:25<17:27, 3675.45s/it]" + " 72%|██████████████████████████████████████████████▍ | 0.7150442477876107/1 [48:37<16:42, 3519.23s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:33> Block 405 of 565 complete - 71.68 % - created peptides 181,596 \n" + "2022-03-27 06:09:13> Block 405 of 565 complete - 71.68 % - created peptides 168,360 - total peptides 68,371,416 \n" ] }, { @@ -13414,14 +13388,14 @@ "output_type": "stream", "text": [ "\r", - " 72%|██████████████████████████████████████████████▌ | 0.7168141592920354/1 [49:31<16:11, 3431.57s/it]" + " 72%|██████████████████████████████████████████████▌ | 0.7168141592920354/1 [48:42<15:41, 3322.99s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:38> Block 406 of 565 complete - 71.86 % - created peptides 168,360 \n" + "2022-03-27 06:09:18> Block 406 of 565 complete - 71.86 % - created peptides 185,408 - total peptides 68,556,824 \n" ] }, { @@ -13429,14 +13403,14 @@ "output_type": "stream", "text": [ "\r", - " 72%|██████████████████████████████████████████████▋ | 0.7185840707964601/1 [49:36<15:16, 3257.43s/it]" + " 72%|██████████████████████████████████████████████▋ | 0.7185840707964601/1 [48:47<14:59, 3197.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:43> Block 407 of 565 complete - 72.04 % - created peptides 185,408 \n" + "2022-03-27 06:09:23> Block 407 of 565 complete - 72.04 % - created peptides 201,454 - total peptides 68,758,278 \n" ] }, { @@ -13444,14 +13418,14 @@ "output_type": "stream", "text": [ "\r", - " 72%|███████████████████████████████████████████████▌ | 0.720353982300885/1 [49:44<17:37, 3782.62s/it]" + " 72%|███████████████████████████████████████████████▌ | 0.720353982300885/1 [48:56<17:17, 3708.89s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:52> Block 408 of 565 complete - 72.21 % - created peptides 167,382 \n" + "2022-03-27 06:09:32> Block 408 of 565 complete - 72.21 % - created peptides 167,382 - total peptides 68,925,660 \n" ] }, { @@ -13459,14 +13433,14 @@ "output_type": "stream", "text": [ "\r", - " 72%|██████████████████████████████████████████████▉ | 0.7221238938053097/1 [49:49<16:13, 3504.91s/it]" + " 72%|██████████████████████████████████████████████▉ | 0.7221238938053097/1 [49:01<16:01, 3461.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:07:57> Block 409 of 565 complete - 72.39 % - created peptides 177,216 \n" + "2022-03-27 06:09:37> Block 409 of 565 complete - 72.39 % - created peptides 177,216 - total peptides 69,102,876 \n" ] }, { @@ -13474,14 +13448,14 @@ "output_type": "stream", "text": [ "\r", - " 72%|███████████████████████████████████████████████ | 0.7238938053097345/1 [49:55<15:14, 3311.80s/it]" + " 72%|███████████████████████████████████████████████ | 0.7238938053097345/1 [49:06<15:08, 3291.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:02> Block 410 of 565 complete - 72.57 % - created peptides 159,784 \n" + "2022-03-27 06:09:42> Block 410 of 565 complete - 72.57 % - created peptides 173,590 - total peptides 69,276,466 \n" ] }, { @@ -13489,14 +13463,14 @@ "output_type": "stream", "text": [ "\r", - " 73%|███████████████████████████████████████████████▏ | 0.7256637168141593/1 [50:00<14:31, 3175.12s/it]" + " 73%|███████████████████████████████████████████████▏ | 0.7256637168141593/1 [49:11<14:29, 3168.60s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:07> Block 411 of 565 complete - 72.74 % - created peptides 173,590 \n" + "2022-03-27 06:09:47> Block 411 of 565 complete - 72.74 % - created peptides 159,784 - total peptides 69,436,250 \n" ] }, { @@ -13504,14 +13478,14 @@ "output_type": "stream", "text": [ "\r", - " 73%|████████████████████████████████████████████████ | 0.727433628318584/1 [50:08<16:46, 3691.43s/it]" + " 73%|████████████████████████████████████████████████ | 0.727433628318584/1 [49:19<16:31, 3638.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:16> Block 412 of 565 complete - 72.92 % - created peptides 183,926 \n" + "2022-03-27 06:09:56> Block 412 of 565 complete - 72.92 % - created peptides 162,540 - total peptides 69,598,790 \n" ] }, { @@ -13519,14 +13493,14 @@ "output_type": "stream", "text": [ "\r", - " 73%|███████████████████████████████████████████████▍ | 0.7292035398230089/1 [50:13<15:34, 3449.28s/it]" + " 73%|███████████████████████████████████████████████▍ | 0.7292035398230089/1 [49:24<15:23, 3410.92s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:21> Block 413 of 565 complete - 73.10 % - created peptides 161,086 \n" + "2022-03-27 06:10:01> Block 413 of 565 complete - 73.10 % - created peptides 183,926 - total peptides 69,782,716 \n" ] }, { @@ -13534,14 +13508,14 @@ "output_type": "stream", "text": [ "\r", - " 73%|███████████████████████████████████████████████▌ | 0.7309734513274336/1 [50:18<14:41, 3275.56s/it]" + " 73%|███████████████████████████████████████████████▌ | 0.7309734513274336/1 [49:30<14:36, 3258.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:26> Block 414 of 565 complete - 73.27 % - created peptides 162,540 \n" + "2022-03-27 06:10:06> Block 414 of 565 complete - 73.27 % - created peptides 175,474 - total peptides 69,958,190 \n" ] }, { @@ -13549,14 +13523,14 @@ "output_type": "stream", "text": [ "\r", - " 73%|███████████████████████████████████████████████▋ | 0.7327433628318584/1 [50:23<14:02, 3150.78s/it]" + " 73%|███████████████████████████████████████████████▋ | 0.7327433628318584/1 [49:38<16:37, 3731.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:31> Block 415 of 565 complete - 73.45 % - created peptides 170,958 \n" + "2022-03-27 06:10:15> Block 415 of 565 complete - 73.45 % - created peptides 182,714 - total peptides 70,140,904 \n" ] }, { @@ -13564,14 +13538,14 @@ "output_type": "stream", "text": [ "\r", - " 73%|███████████████████████████████████████████████▋ | 0.7345132743362832/1 [50:32<16:00, 3618.36s/it]" + " 73%|███████████████████████████████████████████████▋ | 0.7345132743362832/1 [49:43<15:23, 3478.96s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:39> Block 416 of 565 complete - 73.63 % - created peptides 169,902 \n" + "2022-03-27 06:10:20> Block 416 of 565 complete - 73.63 % - created peptides 161,086 - total peptides 70,301,990 \n" ] }, { @@ -13579,14 +13553,14 @@ "output_type": "stream", "text": [ "\r", - " 74%|████████████████████████████████████████████████▌ | 0.736283185840708/1 [50:37<14:53, 3389.73s/it]" + " 74%|████████████████████████████████████████████████▌ | 0.736283185840708/1 [49:48<14:31, 3304.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:44> Block 417 of 565 complete - 73.81 % - created peptides 175,474 \n" + "2022-03-27 06:10:25> Block 417 of 565 complete - 73.81 % - created peptides 170,958 - total peptides 70,472,948 \n" ] }, { @@ -13594,14 +13568,14 @@ "output_type": "stream", "text": [ "\r", - " 74%|███████████████████████████████████████████████▉ | 0.7380530973451327/1 [50:42<14:07, 3236.43s/it]" + " 74%|███████████████████████████████████████████████▉ | 0.7380530973451327/1 [49:54<13:56, 3191.69s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:50> Block 418 of 565 complete - 73.98 % - created peptides 166,682 \n" + "2022-03-27 06:10:30> Block 418 of 565 complete - 73.98 % - created peptides 169,902 - total peptides 70,642,850 \n" ] }, { @@ -13609,14 +13583,14 @@ "output_type": "stream", "text": [ "\r", - " 74%|████████████████████████████████████████████████ | 0.7398230088495575/1 [50:51<16:05, 3711.90s/it]" + " 74%|████████████████████████████████████████████████ | 0.7398230088495575/1 [50:02<15:43, 3626.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:08:58> Block 419 of 565 complete - 74.16 % - created peptides 182,714 \n" + "2022-03-27 06:10:38> Block 419 of 565 complete - 74.16 % - created peptides 166,682 - total peptides 70,809,532 \n" ] }, { @@ -13624,14 +13598,14 @@ "output_type": "stream", "text": [ "\r", - " 74%|████████████████████████████████████████████████▏ | 0.7415929203539823/1 [50:56<14:57, 3473.05s/it]" + " 74%|████████████████████████████████████████████████▏ | 0.7415929203539823/1 [50:07<14:39, 3403.21s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:03> Block 420 of 565 complete - 74.34 % - created peptides 160,710 \n" + "2022-03-27 06:10:43> Block 420 of 565 complete - 74.34 % - created peptides 181,740 - total peptides 70,991,272 \n" ] }, { @@ -13639,14 +13613,14 @@ "output_type": "stream", "text": [ "\r", - " 74%|████████████████████████████████████████████████▎ | 0.7433628318584071/1 [51:01<14:07, 3300.38s/it]" + " 74%|████████████████████████████████████████████████▎ | 0.7433628318584071/1 [50:12<13:57, 3264.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:08> Block 421 of 565 complete - 74.51 % - created peptides 181,740 \n" + "2022-03-27 06:10:49> Block 421 of 565 complete - 74.51 % - created peptides 160,710 - total peptides 71,151,982 \n" ] }, { @@ -13654,14 +13628,14 @@ "output_type": "stream", "text": [ "\r", - " 75%|████████████████████████████████████████████████▍ | 0.7451327433628319/1 [51:09<16:01, 3771.22s/it]" + " 75%|████████████████████████████████████████████████▍ | 0.7451327433628319/1 [50:20<15:41, 3693.51s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:17> Block 422 of 565 complete - 74.69 % - created peptides 176,388 \n" + "2022-03-27 06:10:57> Block 422 of 565 complete - 74.69 % - created peptides 176,388 - total peptides 71,328,370 \n" ] }, { @@ -13669,14 +13643,14 @@ "output_type": "stream", "text": [ "\r", - " 75%|████████████████████████████████████████████████▌ | 0.7469026548672566/1 [51:15<14:47, 3507.08s/it]" + " 75%|████████████████████████████████████████████████▌ | 0.7469026548672566/1 [50:26<14:34, 3456.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:22> Block 423 of 565 complete - 74.87 % - created peptides 189,888 \n" + "2022-03-27 06:11:02> Block 423 of 565 complete - 74.87 % - created peptides 173,324 - total peptides 71,501,694 \n" ] }, { @@ -13684,14 +13658,14 @@ "output_type": "stream", "text": [ "\r", - " 75%|████████████████████████████████████████████████▋ | 0.7486725663716814/1 [51:20<13:55, 3325.01s/it]" + " 75%|████████████████████████████████████████████████▋ | 0.7486725663716814/1 [50:31<13:46, 3287.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:27> Block 424 of 565 complete - 75.04 % - created peptides 173,324 \n" + "2022-03-27 06:11:07> Block 424 of 565 complete - 75.04 % - created peptides 165,598 - total peptides 71,667,292 \n" ] }, { @@ -13699,14 +13673,14 @@ "output_type": "stream", "text": [ "\r", - " 75%|████████████████████████████████████████████████▊ | 0.7504424778761062/1 [51:25<13:16, 3189.83s/it]" + " 75%|████████████████████████████████████████████████▊ | 0.7504424778761062/1 [50:39<15:29, 3725.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:32> Block 425 of 565 complete - 75.22 % - created peptides 186,032 \n" + "2022-03-27 06:11:16> Block 425 of 565 complete - 75.22 % - created peptides 186,032 - total peptides 71,853,324 \n" ] }, { @@ -13714,14 +13688,14 @@ "output_type": "stream", "text": [ "\r", - " 75%|████████████████████████████████████████████████▉ | 0.7522123893805309/1 [51:33<14:59, 3631.09s/it]" + " 75%|████████████████████████████████████████████████▉ | 0.7522123893805309/1 [50:44<14:21, 3475.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:41> Block 426 of 565 complete - 75.40 % - created peptides 161,270 \n" + "2022-03-27 06:11:21> Block 426 of 565 complete - 75.40 % - created peptides 160,542 - total peptides 72,013,866 \n" ] }, { @@ -13729,14 +13703,14 @@ "output_type": "stream", "text": [ "\r", - " 75%|█████████████████████████████████████████████████ | 0.7539823008849558/1 [51:38<13:57, 3402.94s/it]" + " 75%|█████████████████████████████████████████████████ | 0.7539823008849558/1 [50:49<13:31, 3297.36s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:46> Block 427 of 565 complete - 75.58 % - created peptides 178,990 \n" + "2022-03-27 06:11:26> Block 427 of 565 complete - 75.58 % - created peptides 161,270 - total peptides 72,175,136 \n" ] }, { @@ -13744,14 +13718,14 @@ "output_type": "stream", "text": [ "\r", - " 76%|█████████████████████████████████████████████████ | 0.7557522123893805/1 [51:43<13:12, 3243.74s/it]" + " 76%|█████████████████████████████████████████████████ | 0.7557522123893805/1 [50:54<12:54, 3172.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:51> Block 428 of 565 complete - 75.75 % - created peptides 165,598 \n" + "2022-03-27 06:11:31> Block 428 of 565 complete - 75.75 % - created peptides 178,990 - total peptides 72,354,126 \n" ] }, { @@ -13759,14 +13733,14 @@ "output_type": "stream", "text": [ "\r", - " 76%|█████████████████████████████████████████████████▏ | 0.7575221238938054/1 [51:51<14:52, 3679.80s/it]" + " 76%|█████████████████████████████████████████████████▏ | 0.7575221238938054/1 [51:02<14:30, 3590.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:09:59> Block 429 of 565 complete - 75.93 % - created peptides 160,542 \n" + "2022-03-27 06:11:39> Block 429 of 565 complete - 75.93 % - created peptides 189,888 - total peptides 72,544,014 \n" ] }, { @@ -13774,14 +13748,14 @@ "output_type": "stream", "text": [ "\r", - " 76%|█████████████████████████████████████████████████▎ | 0.7592920353982301/1 [51:57<13:47, 3436.50s/it]" + " 76%|█████████████████████████████████████████████████▎ | 0.7592920353982301/1 [51:08<13:35, 3388.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:10:04> Block 430 of 565 complete - 76.11 % - created peptides 167,210 \n" + "2022-03-27 06:11:44> Block 430 of 565 complete - 76.11 % - created peptides 176,546 - total peptides 72,720,560 \n" ] }, { @@ -13789,14 +13763,14 @@ "output_type": "stream", "text": [ "\r", - " 76%|█████████████████████████████████████████████████▍ | 0.7610619469026548/1 [52:02<13:01, 3269.94s/it]" + " 76%|█████████████████████████████████████████████████▍ | 0.7610619469026548/1 [51:13<12:54, 3241.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:10:09> Block 431 of 565 complete - 76.28 % - created peptides 165,010 \n" + "2022-03-27 06:11:49> Block 431 of 565 complete - 76.28 % - created peptides 177,074 - total peptides 72,897,634 \n" ] }, { @@ -13804,14 +13778,14 @@ "output_type": "stream", "text": [ "\r", - " 76%|█████████████████████████████████████████████████▌ | 0.7628318584070797/1 [52:10<14:35, 3692.57s/it]" + " 76%|█████████████████████████████████████████████████▌ | 0.7628318584070797/1 [51:21<14:20, 3628.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:10:17> Block 432 of 565 complete - 76.46 % - created peptides 176,546 \n" + "2022-03-27 06:11:57> Block 432 of 565 complete - 76.46 % - created peptides 188,304 - total peptides 73,085,938 \n" ] }, { @@ -13819,14 +13793,14 @@ "output_type": "stream", "text": [ "\r", - " 76%|█████████████████████████████████████████████████▋ | 0.7646017699115044/1 [52:15<13:33, 3456.81s/it]" + " 76%|█████████████████████████████████████████████████▋ | 0.7646017699115044/1 [51:26<13:24, 3416.20s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:10:23> Block 433 of 565 complete - 76.64 % - created peptides 180,436 \n" + "2022-03-27 06:12:02> Block 433 of 565 complete - 76.64 % - created peptides 180,436 - total peptides 73,266,374 \n" ] }, { @@ -13834,14 +13808,14 @@ "output_type": "stream", "text": [ "\r", - " 77%|█████████████████████████████████████████████████▊ | 0.7663716814159292/1 [52:20<12:47, 3285.31s/it]" + " 77%|█████████████████████████████████████████████████▊ | 0.7663716814159292/1 [51:31<12:42, 3263.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:10:28> Block 434 of 565 complete - 76.81 % - created peptides 177,074 \n" + "2022-03-27 06:12:08> Block 434 of 565 complete - 76.81 % - created peptides 165,010 - total peptides 73,431,384 \n" ] }, { @@ -13849,14 +13823,14 @@ "output_type": "stream", "text": [ "\r", - " 77%|██████████████████████████████████████████████████▋ | 0.768141592920354/1 [52:29<14:20, 3709.59s/it]" + " 77%|██████████████████████████████████████████████████▋ | 0.768141592920354/1 [51:39<14:01, 3627.78s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:10:36> Block 435 of 565 complete - 76.99 % - created peptides 188,304 \n" + "2022-03-27 06:12:15> Block 435 of 565 complete - 76.99 % - created peptides 167,210 - total peptides 73,598,594 \n" ] }, { @@ -13864,14 +13838,14 @@ "output_type": "stream", "text": [ "\r", - " 77%|██████████████████████████████████████████████████ | 0.7699115044247787/1 [52:34<13:17, 3464.85s/it]" + " 77%|██████████████████████████████████████████████████ | 0.7699115044247787/1 [51:44<13:04, 3410.12s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:10:41> Block 436 of 565 complete - 77.17 % - created peptides 161,744 \n" + "2022-03-27 06:12:21> Block 436 of 565 complete - 77.17 % - created peptides 176,602 - total peptides 73,775,196 \n" ] }, { @@ -13879,14 +13853,14 @@ "output_type": "stream", "text": [ "\r", - " 77%|██████████████████████████████████████████████████▏ | 0.7716814159292036/1 [52:39<12:30, 3286.92s/it]" + " 77%|██████████████████████████████████████████████████▏ | 0.7716814159292036/1 [51:53<14:29, 3807.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:10:46> Block 437 of 565 complete - 77.35 % - created peptides 176,602 \n" + "2022-03-27 06:12:29> Block 437 of 565 complete - 77.35 % - created peptides 176,706 - total peptides 73,951,902 \n" ] }, { @@ -13894,14 +13868,14 @@ "output_type": "stream", "text": [ "\r", - " 77%|██████████████████████████████████████████████████▎ | 0.7734513274336283/1 [52:47<13:59, 3703.49s/it]" + " 77%|██████████████████████████████████████████████████▎ | 0.7734513274336283/1 [51:58<13:21, 3539.08s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:10:55> Block 438 of 565 complete - 77.52 % - created peptides 176,706 \n" + "2022-03-27 06:12:34> Block 438 of 565 complete - 77.52 % - created peptides 161,744 - total peptides 74,113,646 \n" ] }, { @@ -13909,14 +13883,14 @@ "output_type": "stream", "text": [ "\r", - " 78%|██████████████████████████████████████████████████▍ | 0.7752212389380531/1 [52:52<12:57, 3459.39s/it]" + " 78%|██████████████████████████████████████████████████▍ | 0.7752212389380531/1 [52:03<12:31, 3342.35s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:00> Block 439 of 565 complete - 77.70 % - created peptides 162,904 \n" + "2022-03-27 06:12:39> Block 439 of 565 complete - 77.70 % - created peptides 173,666 - total peptides 74,287,312 \n" ] }, { @@ -13924,14 +13898,14 @@ "output_type": "stream", "text": [ "\r", - " 78%|██████████████████████████████████████████████████▌ | 0.7769911504424779/1 [52:57<12:17, 3307.95s/it]" + " 78%|██████████████████████████████████████████████████▌ | 0.7769911504424779/1 [52:08<11:58, 3221.92s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:05> Block 440 of 565 complete - 77.88 % - created peptides 160,524 \n" + "2022-03-27 06:12:44> Block 440 of 565 complete - 77.88 % - created peptides 162,904 - total peptides 74,450,216 \n" ] }, { @@ -13939,14 +13913,14 @@ "output_type": "stream", "text": [ "\r", - " 78%|██████████████████████████████████████████████████▌ | 0.7787610619469026/1 [53:06<13:41, 3714.28s/it]" + " 78%|██████████████████████████████████████████████████▌ | 0.7787610619469026/1 [52:16<13:15, 3595.23s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:13> Block 441 of 565 complete - 78.05 % - created peptides 173,666 \n" + "2022-03-27 06:12:52> Block 441 of 565 complete - 78.05 % - created peptides 174,048 - total peptides 74,624,264 \n" ] }, { @@ -13954,14 +13928,14 @@ "output_type": "stream", "text": [ "\r", - " 78%|██████████████████████████████████████████████████▋ | 0.7805309734513274/1 [53:11<12:40, 3465.46s/it]" + " 78%|██████████████████████████████████████████████████▋ | 0.7805309734513274/1 [52:21<12:23, 3387.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:18> Block 442 of 565 complete - 78.23 % - created peptides 174,048 \n" + "2022-03-27 06:12:58> Block 442 of 565 complete - 78.23 % - created peptides 160,524 - total peptides 74,784,788 \n" ] }, { @@ -13969,14 +13943,14 @@ "output_type": "stream", "text": [ "\r", - " 78%|██████████████████████████████████████████████████▊ | 0.7823008849557522/1 [53:16<11:56, 3291.09s/it]" + " 78%|██████████████████████████████████████████████████▊ | 0.7823008849557522/1 [52:29<13:37, 3755.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:23> Block 443 of 565 complete - 78.41 % - created peptides 197,658 \n" + "2022-03-27 06:13:06> Block 443 of 565 complete - 78.41 % - created peptides 197,658 - total peptides 74,982,446 \n" ] }, { @@ -13984,14 +13958,14 @@ "output_type": "stream", "text": [ "\r", - " 78%|███████████████████████████████████████████████████▋ | 0.784070796460177/1 [53:24<13:18, 3697.83s/it]" + " 78%|███████████████████████████████████████████████████▋ | 0.784070796460177/1 [52:34<12:39, 3519.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:32> Block 444 of 565 complete - 78.58 % - created peptides 175,402 \n" + "2022-03-27 06:13:11> Block 444 of 565 complete - 78.58 % - created peptides 174,982 - total peptides 75,157,428 \n" ] }, { @@ -13999,14 +13973,14 @@ "output_type": "stream", "text": [ "\r", - " 79%|███████████████████████████████████████████████████ | 0.7858407079646018/1 [53:29<12:20, 3459.35s/it]" + " 79%|███████████████████████████████████████████████████ | 0.7858407079646018/1 [52:40<11:55, 3341.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:37> Block 445 of 565 complete - 78.76 % - created peptides 174,982 \n" + "2022-03-27 06:13:16> Block 445 of 565 complete - 78.76 % - created peptides 175,402 - total peptides 75,332,830 \n" ] }, { @@ -14014,14 +13988,14 @@ "output_type": "stream", "text": [ "\r", - " 79%|███████████████████████████████████████████████████▏ | 0.7876106194690266/1 [53:34<11:38, 3289.00s/it]" + " 79%|███████████████████████████████████████████████████▏ | 0.7876106194690266/1 [52:48<13:08, 3711.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:42> Block 446 of 565 complete - 78.94 % - created peptides 171,090 \n" + "2022-03-27 06:13:24> Block 446 of 565 complete - 78.94 % - created peptides 171,090 - total peptides 75,503,920 \n" ] }, { @@ -14029,14 +14003,14 @@ "output_type": "stream", "text": [ "\r", - " 79%|███████████████████████████████████████████████████▎ | 0.7893805309734513/1 [53:42<12:53, 3672.59s/it]" + " 79%|███████████████████████████████████████████████████▎ | 0.7893805309734513/1 [52:53<12:10, 3468.81s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:50> Block 447 of 565 complete - 79.12 % - created peptides 169,044 \n" + "2022-03-27 06:13:29> Block 447 of 565 complete - 79.12 % - created peptides 169,044 - total peptides 75,672,964 \n" ] }, { @@ -14044,14 +14018,14 @@ "output_type": "stream", "text": [ "\r", - " 79%|███████████████████████████████████████████████████▍ | 0.7911504424778761/1 [53:47<11:58, 3439.53s/it]" + " 79%|███████████████████████████████████████████████████▍ | 0.7911504424778761/1 [52:58<11:29, 3301.18s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:11:55> Block 448 of 565 complete - 79.29 % - created peptides 166,978 \n" + "2022-03-27 06:13:35> Block 448 of 565 complete - 79.29 % - created peptides 169,870 - total peptides 75,842,834 \n" ] }, { @@ -14059,14 +14033,14 @@ "output_type": "stream", "text": [ "\r", - " 79%|███████████████████████████████████████████████████▌ | 0.7929203539823009/1 [53:53<11:19, 3280.45s/it]" + " 79%|███████████████████████████████████████████████████▌ | 0.7929203539823009/1 [53:06<12:37, 3658.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:00> Block 449 of 565 complete - 79.47 % - created peptides 169,870 \n" + "2022-03-27 06:13:42> Block 449 of 565 complete - 79.47 % - created peptides 166,978 - total peptides 76,009,812 \n" ] }, { @@ -14074,14 +14048,14 @@ "output_type": "stream", "text": [ "\r", - " 79%|███████████████████████████████████████████████████▋ | 0.7946902654867256/1 [54:01<12:27, 3639.76s/it]" + " 79%|███████████████████████████████████████████████████▋ | 0.7946902654867256/1 [53:11<11:44, 3429.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:08> Block 450 of 565 complete - 79.65 % - created peptides 175,732 \n" + "2022-03-27 06:13:48> Block 450 of 565 complete - 79.65 % - created peptides 175,732 - total peptides 76,185,544 \n" ] }, { @@ -14089,14 +14063,14 @@ "output_type": "stream", "text": [ "\r", - " 80%|███████████████████████████████████████████████████▊ | 0.7964601769911505/1 [54:06<11:35, 3416.17s/it]" + " 80%|███████████████████████████████████████████████████▊ | 0.7964601769911505/1 [53:16<11:06, 3274.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:13> Block 451 of 565 complete - 79.82 % - created peptides 176,794 \n" + "2022-03-27 06:13:53> Block 451 of 565 complete - 79.82 % - created peptides 178,022 - total peptides 76,363,566 \n" ] }, { @@ -14104,14 +14078,14 @@ "output_type": "stream", "text": [ "\r", - " 80%|███████████████████████████████████████████████████▉ | 0.7982300884955752/1 [54:11<10:58, 3264.98s/it]" + " 80%|███████████████████████████████████████████████████▉ | 0.7982300884955752/1 [53:24<12:10, 3620.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:18> Block 452 of 565 complete - 80.00 % - created peptides 181,852 \n" + "2022-03-27 06:14:01> Block 452 of 565 complete - 80.00 % - created peptides 176,794 - total peptides 76,540,360 \n" ] }, { @@ -14119,14 +14093,14 @@ "output_type": "stream", "text": [ "\r", - " 80%|████████████████████████████████████████████████████████████████ | 0.8/1 [54:19<11:59, 3595.91s/it]" + " 80%|████████████████████████████████████████████████████████████████ | 0.8/1 [53:29<11:21, 3409.10s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:26> Block 453 of 565 complete - 80.18 % - created peptides 104,604 \n" + "2022-03-27 06:14:06> Block 453 of 565 complete - 80.18 % - created peptides 177,552 - total peptides 76,717,912 \n" ] }, { @@ -14134,14 +14108,14 @@ "output_type": "stream", "text": [ "\r", - " 80%|████████████████████████████████████████████████████ | 0.8017699115044248/1 [54:24<11:08, 3373.95s/it]" + " 80%|████████████████████████████████████████████████████ | 0.8017699115044248/1 [53:34<10:47, 3268.21s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:31> Block 454 of 565 complete - 80.35 % - created peptides 178,022 \n" + "2022-03-27 06:14:11> Block 454 of 565 complete - 80.35 % - created peptides 104,604 - total peptides 76,822,516 \n" ] }, { @@ -14149,14 +14123,14 @@ "output_type": "stream", "text": [ "\r", - " 80%|████████████████████████████████████████████████████▏ | 0.8035398230088495/1 [54:32<12:07, 3702.05s/it]" + " 80%|████████████████████████████████████████████████████▏ | 0.8035398230088495/1 [53:42<11:40, 3567.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:39> Block 455 of 565 complete - 80.53 % - created peptides 185,540 \n" + "2022-03-27 06:14:18> Block 455 of 565 complete - 80.53 % - created peptides 171,540 - total peptides 76,994,056 \n" ] }, { @@ -14164,14 +14138,14 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████████████████████████████████████████████████▎ | 0.8053097345132744/1 [54:37<11:15, 3468.32s/it]" + " 81%|████████████████████████████████████████████████████▎ | 0.8053097345132744/1 [53:47<10:56, 3369.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:44> Block 456 of 565 complete - 80.71 % - created peptides 177,552 \n" + "2022-03-27 06:14:24> Block 456 of 565 complete - 80.71 % - created peptides 181,852 - total peptides 77,175,908 \n" ] }, { @@ -14179,14 +14153,14 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████████████████████████████████████████████████▍ | 0.8070796460176991/1 [54:42<10:36, 3301.83s/it]" + " 81%|████████████████████████████████████████████████████▍ | 0.8070796460176991/1 [53:55<11:51, 3689.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:49> Block 457 of 565 complete - 80.88 % - created peptides 171,540 \n" + "2022-03-27 06:14:31> Block 457 of 565 complete - 80.88 % - created peptides 185,540 - total peptides 77,361,448 \n" ] }, { @@ -14194,14 +14168,14 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████████████████████████████████████████████████▌ | 0.8088495575221238/1 [54:50<11:32, 3625.34s/it]" + " 81%|████████████████████████████████████████████████████▌ | 0.8088495575221238/1 [54:00<11:02, 3465.64s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:12:57> Block 458 of 565 complete - 81.06 % - created peptides 164,706 \n" + "2022-03-27 06:14:37> Block 458 of 565 complete - 81.06 % - created peptides 181,172 - total peptides 77,542,620 \n" ] }, { @@ -14209,14 +14183,14 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████████████████████████████████████████████████▋ | 0.8106194690265487/1 [54:55<10:46, 3415.96s/it]" + " 81%|████████████████████████████████████████████████████▋ | 0.8106194690265487/1 [54:05<10:25, 3302.53s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:02> Block 459 of 565 complete - 81.24 % - created peptides 181,172 \n" + "2022-03-27 06:14:42> Block 459 of 565 complete - 81.24 % - created peptides 164,706 - total peptides 77,707,326 \n" ] }, { @@ -14224,14 +14198,14 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████████████████████████████████████████████████▊ | 0.8123893805309734/1 [55:03<11:39, 3728.91s/it]" + " 81%|████████████████████████████████████████████████████▊ | 0.8123893805309734/1 [54:13<11:15, 3600.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:10> Block 460 of 565 complete - 81.42 % - created peptides 167,852 \n" + "2022-03-27 06:14:49> Block 460 of 565 complete - 81.42 % - created peptides 180,890 - total peptides 77,888,216 \n" ] }, { @@ -14239,14 +14213,14 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████████████████████████████████████████████████▉ | 0.8141592920353983/1 [55:08<10:47, 3485.88s/it]" + " 81%|████████████████████████████████████████████████████▉ | 0.8141592920353983/1 [54:18<10:32, 3405.13s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:15> Block 461 of 565 complete - 81.59 % - created peptides 160,356 \n" + "2022-03-27 06:14:55> Block 461 of 565 complete - 81.59 % - created peptides 167,852 - total peptides 78,056,068 \n" ] }, { @@ -14254,14 +14228,14 @@ "output_type": "stream", "text": [ "\r", - " 82%|█████████████████████████████████████████████████████▊ | 0.815929203539823/1 [55:13<10:10, 3314.25s/it]" + " 82%|█████████████████████████████████████████████████████▊ | 0.815929203539823/1 [54:26<11:20, 3697.92s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:21> Block 462 of 565 complete - 81.77 % - created peptides 180,890 \n" + "2022-03-27 06:15:02> Block 462 of 565 complete - 81.77 % - created peptides 172,582 - total peptides 78,228,650 \n" ] }, { @@ -14269,14 +14243,14 @@ "output_type": "stream", "text": [ "\r", - " 82%|█████████████████████████████████████████████████████▏ | 0.8176991150442477/1 [55:21<10:59, 3618.72s/it]" + " 82%|█████████████████████████████████████████████████████▏ | 0.8176991150442477/1 [54:31<10:31, 3462.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:28> Block 463 of 565 complete - 81.95 % - created peptides 172,582 \n" + "2022-03-27 06:15:08> Block 463 of 565 complete - 81.95 % - created peptides 178,896 - total peptides 78,407,546 \n" ] }, { @@ -14284,14 +14258,14 @@ "output_type": "stream", "text": [ "\r", - " 82%|█████████████████████████████████████████████████████▎ | 0.8194690265486726/1 [55:26<10:14, 3405.64s/it]" + " 82%|█████████████████████████████████████████████████████▎ | 0.8194690265486726/1 [54:39<11:19, 3765.98s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:33> Block 464 of 565 complete - 82.12 % - created peptides 171,080 \n" + "2022-03-27 06:15:16> Block 464 of 565 complete - 82.12 % - created peptides 160,356 - total peptides 78,567,902 \n" ] }, { @@ -14299,14 +14273,14 @@ "output_type": "stream", "text": [ "\r", - " 82%|█████████████████████████████████████████████████████▍ | 0.8212389380530973/1 [55:34<11:02, 3705.18s/it]" + " 82%|█████████████████████████████████████████████████████▍ | 0.8212389380530973/1 [54:44<10:27, 3512.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:41> Block 465 of 565 complete - 82.30 % - created peptides 178,896 \n" + "2022-03-27 06:15:21> Block 465 of 565 complete - 82.30 % - created peptides 179,826 - total peptides 78,747,728 \n" ] }, { @@ -14314,14 +14288,14 @@ "output_type": "stream", "text": [ "\r", - " 82%|█████████████████████████████████████████████████████▍ | 0.8230088495575221/1 [55:39<10:16, 3481.13s/it]" + " 82%|█████████████████████████████████████████████████████▍ | 0.8230088495575221/1 [54:49<09:51, 3340.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:46> Block 466 of 565 complete - 82.48 % - created peptides 179,826 \n" + "2022-03-27 06:15:26> Block 466 of 565 complete - 82.48 % - created peptides 171,080 - total peptides 78,918,808 \n" ] }, { @@ -14329,14 +14303,14 @@ "output_type": "stream", "text": [ "\r", - " 82%|█████████████████████████████████████████████████████▌ | 0.8247787610619469/1 [55:44<09:40, 3312.18s/it]" + " 82%|█████████████████████████████████████████████████████▌ | 0.8247787610619469/1 [54:57<10:37, 3640.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:52> Block 467 of 565 complete - 82.65 % - created peptides 169,092 \n" + "2022-03-27 06:15:34> Block 467 of 565 complete - 82.65 % - created peptides 170,448 - total peptides 79,089,256 \n" ] }, { @@ -14344,14 +14318,14 @@ "output_type": "stream", "text": [ "\r", - " 83%|█████████████████████████████████████████████████████▋ | 0.8265486725663717/1 [55:52<10:23, 3595.50s/it]" + " 83%|█████████████████████████████████████████████████████▋ | 0.8265486725663717/1 [55:02<09:55, 3433.22s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:13:59> Block 468 of 565 complete - 82.83 % - created peptides 170,448 \n" + "2022-03-27 06:15:39> Block 468 of 565 complete - 82.83 % - created peptides 169,092 - total peptides 79,258,348 \n" ] }, { @@ -14359,14 +14333,14 @@ "output_type": "stream", "text": [ "\r", - " 83%|█████████████████████████████████████████████████████▊ | 0.8283185840707965/1 [55:57<09:42, 3394.72s/it]" + " 83%|█████████████████████████████████████████████████████▊ | 0.8283185840707965/1 [55:10<10:40, 3728.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:14:04> Block 469 of 565 complete - 83.01 % - created peptides 173,296 \n" + "2022-03-27 06:15:47> Block 469 of 565 complete - 83.01 % - created peptides 173,296 - total peptides 79,431,644 \n" ] }, { @@ -14374,14 +14348,14 @@ "output_type": "stream", "text": [ "\r", - " 83%|█████████████████████████████████████████████████████▉ | 0.8300884955752212/1 [56:04<10:23, 3666.69s/it]" + " 83%|█████████████████████████████████████████████████████▉ | 0.8300884955752212/1 [55:15<09:54, 3497.20s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:14:12> Block 470 of 565 complete - 83.19 % - created peptides 162,104 \n" + "2022-03-27 06:15:52> Block 470 of 565 complete - 83.19 % - created peptides 162,104 - total peptides 79,593,748 \n" ] }, { @@ -14389,14 +14363,14 @@ "output_type": "stream", "text": [ "\r", - " 83%|██████████████████████████████████████████████████████▉ | 0.831858407079646/1 [56:10<09:39, 3443.97s/it]" + " 83%|██████████████████████████████████████████████████████▉ | 0.831858407079646/1 [55:21<09:19, 3327.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:14:17> Block 471 of 565 complete - 83.36 % - created peptides 189,090 \n" + "2022-03-27 06:15:57> Block 471 of 565 complete - 83.36 % - created peptides 161,166 - total peptides 79,754,914 \n" ] }, { @@ -14404,14 +14378,14 @@ "output_type": "stream", "text": [ "\r", - " 83%|██████████████████████████████████████████████████████▏ | 0.8336283185840708/1 [56:17<10:18, 3719.58s/it]" + " 83%|██████████████████████████████████████████████████████▏ | 0.8336283185840708/1 [55:28<09:57, 3590.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:14:25> Block 472 of 565 complete - 83.54 % - created peptides 176,972 \n" + "2022-03-27 06:16:04> Block 472 of 565 complete - 83.54 % - created peptides 176,972 - total peptides 79,931,886 \n" ] }, { @@ -14419,14 +14393,14 @@ "output_type": "stream", "text": [ "\r", - " 84%|██████████████████████████████████████████████████████▎ | 0.8353982300884956/1 [56:22<09:32, 3479.08s/it]" + " 84%|██████████████████████████████████████████████████████▎ | 0.8353982300884956/1 [55:33<09:17, 3389.86s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:14:30> Block 473 of 565 complete - 83.72 % - created peptides 161,166 \n" + "2022-03-27 06:16:10> Block 473 of 565 complete - 83.72 % - created peptides 147,876 - total peptides 80,079,762 \n" ] }, { @@ -14434,14 +14408,14 @@ "output_type": "stream", "text": [ "\r", - " 84%|██████████████████████████████████████████████████████▍ | 0.8371681415929203/1 [56:28<09:00, 3318.64s/it]" + " 84%|██████████████████████████████████████████████████████▍ | 0.8371681415929203/1 [55:41<09:53, 3644.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:14:35> Block 474 of 565 complete - 83.89 % - created peptides 161,792 \n" + "2022-03-27 06:16:17> Block 474 of 565 complete - 83.89 % - created peptides 161,792 - total peptides 80,241,554 \n" ] }, { @@ -14449,14 +14423,14 @@ "output_type": "stream", "text": [ "\r", - " 84%|██████████████████████████████████████████████████████▌ | 0.8389380530973451/1 [56:35<09:34, 3568.43s/it]" + " 84%|██████████████████████████████████████████████████████▌ | 0.8389380530973451/1 [55:46<09:12, 3427.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:14:43> Block 475 of 565 complete - 84.07 % - created peptides 180,662 \n" + "2022-03-27 06:16:22> Block 475 of 565 complete - 84.07 % - created peptides 189,090 - total peptides 80,430,644 \n" ] }, { @@ -14464,14 +14438,14 @@ "output_type": "stream", "text": [ "\r", - " 84%|██████████████████████████████████████████████████████▋ | 0.8407079646017699/1 [56:40<08:58, 3379.58s/it]" + " 84%|██████████████████████████████████████████████████████▋ | 0.8407079646017699/1 [55:53<09:48, 3693.70s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:14:48> Block 476 of 565 complete - 84.25 % - created peptides 147,876 \n" + "2022-03-27 06:16:30> Block 476 of 565 complete - 84.25 % - created peptides 170,088 - total peptides 80,600,732 \n" ] }, { @@ -14479,14 +14453,14 @@ "output_type": "stream", "text": [ "\r", - " 84%|██████████████████████████████████████████████████████▊ | 0.8424778761061947/1 [56:47<09:28, 3607.37s/it]" + " 84%|██████████████████████████████████████████████████████▊ | 0.8424778761061947/1 [55:59<09:05, 3464.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:14:55> Block 477 of 565 complete - 84.42 % - created peptides 176,992 \n" + "2022-03-27 06:16:35> Block 477 of 565 complete - 84.42 % - created peptides 180,662 - total peptides 80,781,394 \n" ] }, { @@ -14494,14 +14468,14 @@ "output_type": "stream", "text": [ "\r", - " 84%|██████████████████████████████████████████████████████▉ | 0.8442477876106195/1 [56:53<08:50, 3403.88s/it]" + " 84%|██████████████████████████████████████████████████████▉ | 0.8442477876106195/1 [56:06<09:41, 3735.21s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:00> Block 478 of 565 complete - 84.60 % - created peptides 170,088 \n" + "2022-03-27 06:16:43> Block 478 of 565 complete - 84.60 % - created peptides 176,992 - total peptides 80,958,386 \n" ] }, { @@ -14509,14 +14483,14 @@ "output_type": "stream", "text": [ "\r", - " 85%|██████████████████████████████████████████████████████▉ | 0.8460176991150442/1 [57:00<09:20, 3642.53s/it]" + " 85%|██████████████████████████████████████████████████████▉ | 0.8460176991150442/1 [56:12<09:00, 3508.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:08> Block 479 of 565 complete - 84.78 % - created peptides 168,302 \n" + "2022-03-27 06:16:48> Block 479 of 565 complete - 84.78 % - created peptides 168,302 - total peptides 81,126,688 \n" ] }, { @@ -14524,14 +14498,14 @@ "output_type": "stream", "text": [ "\r", - " 85%|███████████████████████████████████████████████████████ | 0.8477876106194691/1 [57:05<08:41, 3424.01s/it]" + " 85%|███████████████████████████████████████████████████████ | 0.8477876106194691/1 [56:17<08:26, 3328.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:13> Block 480 of 565 complete - 84.96 % - created peptides 169,372 \n" + "2022-03-27 06:16:53> Block 480 of 565 complete - 84.96 % - created peptides 183,710 - total peptides 81,310,398 \n" ] }, { @@ -14539,14 +14513,14 @@ "output_type": "stream", "text": [ "\r", - " 85%|███████████████████████████████████████████████████████▏ | 0.8495575221238938/1 [57:13<09:09, 3650.42s/it]" + " 85%|███████████████████████████████████████████████████████▏ | 0.8495575221238938/1 [56:24<08:57, 3572.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:20> Block 481 of 565 complete - 85.13 % - created peptides 183,710 \n" + "2022-03-27 06:17:01> Block 481 of 565 complete - 85.13 % - created peptides 169,372 - total peptides 81,479,770 \n" ] }, { @@ -14554,14 +14528,14 @@ "output_type": "stream", "text": [ "\r", - " 85%|███████████████████████████████████████████████████████▎ | 0.8513274336283185/1 [57:18<08:30, 3432.59s/it]" + " 85%|███████████████████████████████████████████████████████▎ | 0.8513274336283185/1 [56:29<08:22, 3378.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:25> Block 482 of 565 complete - 85.31 % - created peptides 188,022 \n" + "2022-03-27 06:17:06> Block 482 of 565 complete - 85.31 % - created peptides 188,022 - total peptides 81,667,792 \n" ] }, { @@ -14569,14 +14543,14 @@ "output_type": "stream", "text": [ "\r", - " 85%|███████████████████████████████████████████████████████▍ | 0.8530973451327434/1 [57:25<08:57, 3660.33s/it]" + " 85%|███████████████████████████████████████████████████████▍ | 0.8530973451327434/1 [56:37<08:48, 3597.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:33> Block 483 of 565 complete - 85.49 % - created peptides 179,286 \n" + "2022-03-27 06:17:13> Block 483 of 565 complete - 85.49 % - created peptides 168,666 - total peptides 81,836,458 \n" ] }, { @@ -14584,14 +14558,14 @@ "output_type": "stream", "text": [ "\r", - " 85%|███████████████████████████████████████████████████████▌ | 0.8548672566371681/1 [57:30<08:19, 3440.39s/it]" + " 85%|███████████████████████████████████████████████████████▌ | 0.8548672566371681/1 [56:42<08:13, 3398.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:38> Block 484 of 565 complete - 85.66 % - created peptides 168,666 \n" + "2022-03-27 06:17:18> Block 484 of 565 complete - 85.66 % - created peptides 179,286 - total peptides 82,015,744 \n" ] }, { @@ -14599,14 +14573,14 @@ "output_type": "stream", "text": [ "\r", - " 86%|████████████████████████████████████████████████████████▌ | 0.856637168141593/1 [57:38<08:43, 3652.50s/it]" + " 86%|████████████████████████████████████████████████████████▌ | 0.856637168141593/1 [56:49<08:38, 3615.69s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:45> Block 485 of 565 complete - 85.84 % - created peptides 175,314 \n" + "2022-03-27 06:17:26> Block 485 of 565 complete - 85.84 % - created peptides 175,314 - total peptides 82,191,058 \n" ] }, { @@ -14614,14 +14588,14 @@ "output_type": "stream", "text": [ "\r", - " 86%|███████████████████████████████████████████████████████▊ | 0.8584070796460177/1 [57:43<08:06, 3436.48s/it]" + " 86%|███████████████████████████████████████████████████████▊ | 0.8584070796460177/1 [56:54<08:04, 3419.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:51> Block 486 of 565 complete - 86.02 % - created peptides 171,778 \n" + "2022-03-27 06:17:31> Block 486 of 565 complete - 86.02 % - created peptides 172,834 - total peptides 82,363,892 \n" ] }, { @@ -14629,14 +14603,14 @@ "output_type": "stream", "text": [ "\r", - " 86%|███████████████████████████████████████████████████████▉ | 0.8601769911504424/1 [57:50<08:29, 3644.74s/it]" + " 86%|███████████████████████████████████████████████████████▉ | 0.8601769911504424/1 [57:01<08:24, 3609.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:15:58> Block 487 of 565 complete - 86.19 % - created peptides 172,834 \n" + "2022-03-27 06:17:38> Block 487 of 565 complete - 86.19 % - created peptides 171,778 - total peptides 82,535,670 \n" ] }, { @@ -14644,14 +14618,14 @@ "output_type": "stream", "text": [ "\r", - " 86%|████████████████████████████████████████████████████████ | 0.8619469026548673/1 [57:55<07:53, 3428.43s/it]" + " 86%|████████████████████████████████████████████████████████ | 0.8619469026548673/1 [57:07<07:50, 3408.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:16:03> Block 488 of 565 complete - 86.37 % - created peptides 171,168 \n" + "2022-03-27 06:17:43> Block 488 of 565 complete - 86.37 % - created peptides 171,168 - total peptides 82,706,838 \n" ] }, { @@ -14659,14 +14633,14 @@ "output_type": "stream", "text": [ "\r", - " 86%|█████████████████████████████████████████████████████████ | 0.863716814159292/1 [58:03<08:15, 3632.22s/it]" + " 86%|█████████████████████████████████████████████████████████ | 0.863716814159292/1 [57:14<08:09, 3592.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:16:10> Block 489 of 565 complete - 86.55 % - created peptides 171,524 \n" + "2022-03-27 06:17:50> Block 489 of 565 complete - 86.55 % - created peptides 191,588 - total peptides 82,898,426 \n" ] }, { @@ -14674,14 +14648,14 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████████████████████████████████████████████████████▎ | 0.8654867256637168/1 [58:08<07:40, 3421.21s/it]" + " 87%|████████████████████████████████████████████████████████▎ | 0.8654867256637168/1 [57:21<08:30, 3798.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:16:15> Block 490 of 565 complete - 86.73 % - created peptides 191,588 \n" + "2022-03-27 06:17:58> Block 490 of 565 complete - 86.73 % - created peptides 171,524 - total peptides 83,069,950 \n" ] }, { @@ -14689,14 +14663,14 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████████████████████████████████████████████████████▎ | 0.8672566371681416/1 [58:15<07:59, 3611.35s/it]" + " 87%|████████████████████████████████████████████████████████▎ | 0.8672566371681416/1 [57:27<07:49, 3538.25s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:16:23> Block 491 of 565 complete - 86.90 % - created peptides 171,322 \n" + "2022-03-27 06:18:03> Block 491 of 565 complete - 86.90 % - created peptides 171,322 - total peptides 83,241,272 \n" ] }, { @@ -14704,14 +14678,14 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████████████████████████████████████████████████████▍ | 0.8690265486725663/1 [58:23<08:18, 3802.67s/it]" + " 87%|████████████████████████████████████████████████████████▍ | 0.8690265486725663/1 [57:34<08:10, 3743.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:16:30> Block 492 of 565 complete - 87.08 % - created peptides 173,632 \n" + "2022-03-27 06:18:11> Block 492 of 565 complete - 87.08 % - created peptides 173,632 - total peptides 83,414,904 \n" ] }, { @@ -14719,14 +14693,14 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████████████████████████████████████████████████████▌ | 0.8707964601769912/1 [58:28<07:37, 3542.09s/it]" + " 87%|████████████████████████████████████████████████████████▌ | 0.8707964601769912/1 [57:39<07:31, 3497.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:16:35> Block 493 of 565 complete - 87.26 % - created peptides 146,188 \n" + "2022-03-27 06:18:16> Block 493 of 565 complete - 87.26 % - created peptides 146,188 - total peptides 83,561,092 \n" ] }, { @@ -14734,14 +14708,14 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████████████████████████████████████████████████████▋ | 0.8725663716814159/1 [58:35<07:57, 3748.25s/it]" + " 87%|████████████████████████████████████████████████████████▋ | 0.8725663716814159/1 [57:47<07:51, 3699.36s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:16:43> Block 494 of 565 complete - 87.43 % - created peptides 160,536 \n" + "2022-03-27 06:18:23> Block 494 of 565 complete - 87.43 % - created peptides 160,536 - total peptides 83,721,628 \n" ] }, { @@ -14749,14 +14723,14 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████████████████████████████████████████████████████▊ | 0.8743362831858407/1 [58:40<07:18, 3489.95s/it]" + " 87%|████████████████████████████████████████████████████████▊ | 0.8743362831858407/1 [57:52<07:15, 3466.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:16:48> Block 495 of 565 complete - 87.61 % - created peptides 162,994 \n" + "2022-03-27 06:18:28> Block 495 of 565 complete - 87.61 % - created peptides 113,892 - total peptides 83,835,520 \n" ] }, { @@ -14764,14 +14738,14 @@ "output_type": "stream", "text": [ "\r", - " 88%|████████████████████████████████████████████████████████▉ | 0.8761061946902655/1 [58:48<07:38, 3702.02s/it]" + " 88%|████████████████████████████████████████████████████████▉ | 0.8761061946902655/1 [57:59<07:33, 3663.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:16:55> Block 496 of 565 complete - 87.79 % - created peptides 179,006 \n" + "2022-03-27 06:18:36> Block 496 of 565 complete - 87.79 % - created peptides 162,994 - total peptides 83,998,514 \n" ] }, { @@ -14779,14 +14753,14 @@ "output_type": "stream", "text": [ "\r", - " 88%|█████████████████████████████████████████████████████████ | 0.8778761061946903/1 [58:53<07:05, 3480.66s/it]" + " 88%|█████████████████████████████████████████████████████████ | 0.8778761061946903/1 [58:04<07:01, 3450.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:01> Block 497 of 565 complete - 87.96 % - created peptides 160,770 \n" + "2022-03-27 06:18:41> Block 497 of 565 complete - 87.96 % - created peptides 165,784 - total peptides 84,164,298 \n" ] }, { @@ -14794,14 +14768,14 @@ "output_type": "stream", "text": [ "\r", - " 88%|██████████████████████████████████████████████████████████ | 0.879646017699115/1 [59:00<07:22, 3677.23s/it]" + " 88%|██████████████████████████████████████████████████████████ | 0.879646017699115/1 [58:12<07:20, 3660.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:08> Block 498 of 565 complete - 88.14 % - created peptides 165,784 \n" + "2022-03-27 06:18:48> Block 498 of 565 complete - 88.14 % - created peptides 160,770 - total peptides 84,325,068 \n" ] }, { @@ -14809,14 +14783,14 @@ "output_type": "stream", "text": [ "\r", - " 88%|█████████████████████████████████████████████████████████▎ | 0.8814159292035398/1 [59:06<06:49, 3449.92s/it]" + " 88%|█████████████████████████████████████████████████████████▎ | 0.8814159292035398/1 [58:17<06:47, 3436.70s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:13> Block 499 of 565 complete - 88.32 % - created peptides 113,892 \n" + "2022-03-27 06:18:53> Block 499 of 565 complete - 88.32 % - created peptides 179,006 - total peptides 84,504,074 \n" ] }, { @@ -14824,14 +14798,14 @@ "output_type": "stream", "text": [ "\r", - " 88%|█████████████████████████████████████████████████████████▍ | 0.8831858407079646/1 [59:13<07:04, 3632.03s/it]" + " 88%|█████████████████████████████████████████████████████████▍ | 0.8831858407079646/1 [58:24<07:04, 3631.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:20> Block 500 of 565 complete - 88.50 % - created peptides 173,960 \n" + "2022-03-27 06:19:01> Block 500 of 565 complete - 88.50 % - created peptides 167,022 - total peptides 84,671,096 \n" ] }, { @@ -14839,14 +14813,14 @@ "output_type": "stream", "text": [ "\r", - " 88%|█████████████████████████████████████████████████████████▌ | 0.8849557522123894/1 [59:18<06:36, 3450.05s/it]" + " 88%|█████████████████████████████████████████████████████████▌ | 0.8849557522123894/1 [58:29<06:33, 3423.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:26> Block 501 of 565 complete - 88.67 % - created peptides 167,022 \n" + "2022-03-27 06:19:06> Block 501 of 565 complete - 88.67 % - created peptides 153,556 - total peptides 84,824,652 \n" ] }, { @@ -14854,14 +14828,14 @@ "output_type": "stream", "text": [ "\r", - " 89%|█████████████████████████████████████████████████████████▋ | 0.8867256637168142/1 [59:25<06:50, 3621.11s/it]" + " 89%|█████████████████████████████████████████████████████████▋ | 0.8867256637168142/1 [58:36<06:46, 3586.35s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:33> Block 502 of 565 complete - 88.85 % - created peptides 184,776 \n" + "2022-03-27 06:19:13> Block 502 of 565 complete - 88.85 % - created peptides 173,960 - total peptides 84,998,612 \n" ] }, { @@ -14869,14 +14843,14 @@ "output_type": "stream", "text": [ "\r", - " 89%|█████████████████████████████████████████████████████████▊ | 0.8884955752212389/1 [59:33<07:02, 3786.00s/it]" + " 89%|█████████████████████████████████████████████████████████▊ | 0.8884955752212389/1 [58:41<06:18, 3390.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:40> Block 503 of 565 complete - 89.03 % - created peptides 153,556 \n" + "2022-03-27 06:19:18> Block 503 of 565 complete - 89.03 % - created peptides 184,776 - total peptides 85,183,388 \n" ] }, { @@ -14884,14 +14858,14 @@ "output_type": "stream", "text": [ "\r", - " 89%|█████████████████████████████████████████████████████████▊ | 0.8902654867256637/1 [59:38<06:27, 3532.95s/it]" + " 89%|█████████████████████████████████████████████████████████▊ | 0.8902654867256637/1 [58:48<06:28, 3543.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:45> Block 504 of 565 complete - 89.20 % - created peptides 185,192 \n" + "2022-03-27 06:19:25> Block 504 of 565 complete - 89.20 % - created peptides 167,376 - total peptides 85,350,764 \n" ] }, { @@ -14899,14 +14873,14 @@ "output_type": "stream", "text": [ "\r", - " 89%|█████████████████████████████████████████████████████████▉ | 0.8920353982300885/1 [59:45<06:41, 3721.31s/it]" + " 89%|█████████████████████████████████████████████████████████▉ | 0.8920353982300885/1 [58:56<06:38, 3695.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:53> Block 505 of 565 complete - 89.38 % - created peptides 167,376 \n" + "2022-03-27 06:19:32> Block 505 of 565 complete - 89.38 % - created peptides 165,952 - total peptides 85,516,716 \n" ] }, { @@ -14914,14 +14888,14 @@ "output_type": "stream", "text": [ "\r", - " 89%|██████████████████████████████████████████████████████████ | 0.8938053097345132/1 [59:50<06:10, 3492.48s/it]" + " 89%|██████████████████████████████████████████████████████████ | 0.8938053097345132/1 [59:01<06:10, 3486.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:17:58> Block 506 of 565 complete - 89.56 % - created peptides 165,952 \n" + "2022-03-27 06:19:37> Block 506 of 565 complete - 89.56 % - created peptides 185,192 - total peptides 85,701,908 \n" ] }, { @@ -14929,14 +14903,14 @@ "output_type": "stream", "text": [ "\r", - " 90%|██████████████████████████████████████████████████████████▏ | 0.8955752212389381/1 [59:58<06:21, 3657.51s/it]" + " 90%|██████████████████████████████████████████████████████████▏ | 0.8955752212389381/1 [59:08<06:18, 3627.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:18:05> Block 507 of 565 complete - 89.73 % - created peptides 174,624 \n" + "2022-03-27 06:19:44> Block 507 of 565 complete - 89.73 % - created peptides 174,624 - total peptides 85,876,532 \n" ] }, { @@ -14944,14 +14918,14 @@ "output_type": "stream", "text": [ "\r", - " 90%|████████████████████████████████████████████████████████▌ | 0.8973451327433628/1 [1:00:03<05:53, 3448.26s/it]" + " 90%|██████████████████████████████████████████████████████████▎ | 0.8973451327433628/1 [59:15<06:24, 3748.89s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:18:10> Block 508 of 565 complete - 89.91 % - created peptides 163,840 \n" + "2022-03-27 06:19:51> Block 508 of 565 complete - 89.91 % - created peptides 181,952 - total peptides 86,058,484 \n" ] }, { @@ -14959,14 +14933,14 @@ "output_type": "stream", "text": [ "\r", - " 90%|████████████████████████████████████████████████████████▋ | 0.8991150442477877/1 [1:00:10<06:00, 3576.47s/it]" + " 90%|██████████████████████████████████████████████████████████▍ | 0.8991150442477877/1 [59:20<05:54, 3514.51s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:18:17> Block 509 of 565 complete - 90.09 % - created peptides 171,150 \n" + "2022-03-27 06:19:57> Block 509 of 565 complete - 90.09 % - created peptides 171,150 - total peptides 86,229,634 \n" ] }, { @@ -14974,14 +14948,14 @@ "output_type": "stream", "text": [ "\r", - " 90%|████████████████████████████████████████████████████████▊ | 0.9008849557522124/1 [1:00:17<06:06, 3692.85s/it]" + " 90%|██████████████████████████████████████████████████████████▌ | 0.9008849557522124/1 [59:27<06:01, 3651.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:18:24> Block 510 of 565 complete - 90.27 % - created peptides 181,952 \n" + "2022-03-27 06:20:04> Block 510 of 565 complete - 90.27 % - created peptides 163,840 - total peptides 86,393,474 \n" ] }, { @@ -14989,14 +14963,14 @@ "output_type": "stream", "text": [ "\r", - " 90%|████████████████████████████████████████████████████████▊ | 0.9026548672566371/1 [1:00:22<05:38, 3478.66s/it]" + " 90%|██████████████████████████████████████████████████████████▋ | 0.9026548672566371/1 [59:32<05:34, 3438.45s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:18:29> Block 511 of 565 complete - 90.44 % - created peptides 170,734 \n" + "2022-03-27 06:20:09> Block 511 of 565 complete - 90.44 % - created peptides 170,734 - total peptides 86,564,208 \n" ] }, { @@ -15004,14 +14978,14 @@ "output_type": "stream", "text": [ "\r", - " 90%|█████████████████████████████████████████████████████████▉ | 0.904424778761062/1 [1:00:29<05:43, 3592.94s/it]" + " 90%|███████████████████████████████████████████████████████████▋ | 0.904424778761062/1 [59:39<05:40, 3559.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:18:36> Block 512 of 565 complete - 90.62 % - created peptides 175,082 \n" + "2022-03-27 06:20:16> Block 512 of 565 complete - 90.62 % - created peptides 192,990 - total peptides 86,757,198 \n" ] }, { @@ -15019,14 +14993,14 @@ "output_type": "stream", "text": [ "\r", - " 91%|█████████████████████████████████████████████████████████ | 0.9061946902654867/1 [1:00:36<05:48, 3711.95s/it]" + " 91%|██████████████████████████████████████████████████████████▉ | 0.9061946902654867/1 [59:46<05:45, 3684.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:18:43> Block 513 of 565 complete - 90.80 % - created peptides 192,990 \n" + "2022-03-27 06:20:23> Block 513 of 565 complete - 90.80 % - created peptides 170,590 - total peptides 86,927,788 \n" ] }, { @@ -15034,14 +15008,14 @@ "output_type": "stream", "text": [ "\r", - " 91%|█████████████████████████████████████████████████████████▏ | 0.9079646017699115/1 [1:00:43<05:52, 3832.77s/it]" + " 91%|███████████████████████████████████████████████████████████ | 0.9079646017699115/1 [59:51<05:18, 3462.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:18:51> Block 514 of 565 complete - 90.97 % - created peptides 170,590 \n" + "2022-03-27 06:20:28> Block 514 of 565 complete - 90.97 % - created peptides 175,082 - total peptides 87,102,870 \n" ] }, { @@ -15049,14 +15023,14 @@ "output_type": "stream", "text": [ "\r", - " 91%|█████████████████████████████████████████████████████████▎ | 0.9097345132743363/1 [1:00:48<05:21, 3566.21s/it]" + " 91%|███████████████████████████████████████████████████████████▏ | 0.9097345132743363/1 [59:58<05:21, 3559.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:18:56> Block 515 of 565 complete - 91.15 % - created peptides 193,320 \n" + "2022-03-27 06:20:35> Block 515 of 565 complete - 91.15 % - created peptides 149,582 - total peptides 87,252,452 \n" ] }, { @@ -15064,14 +15038,14 @@ "output_type": "stream", "text": [ "\r", - " 91%|██████████████████████████████████████████████████████████▎ | 0.911504424778761/1 [1:00:55<05:25, 3680.60s/it]" + " 91%|██████████████████████████████████████████████████████████▎ | 0.911504424778761/1 [1:00:05<05:22, 3644.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:19:03> Block 516 of 565 complete - 91.33 % - created peptides 181,442 \n" + "2022-03-27 06:20:41> Block 516 of 565 complete - 91.33 % - created peptides 176,848 - total peptides 87,429,300 \n" ] }, { @@ -15079,14 +15053,14 @@ "output_type": "stream", "text": [ "\r", - " 91%|█████████████████████████████████████████████████████████▌ | 0.9132743362831859/1 [1:01:02<05:27, 3771.42s/it]" + " 91%|█████████████████████████████████████████████████████████▌ | 0.9132743362831859/1 [1:00:12<05:24, 3742.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:19:10> Block 517 of 565 complete - 91.50 % - created peptides 160,378 \n" + "2022-03-27 06:20:49> Block 517 of 565 complete - 91.50 % - created peptides 160,378 - total peptides 87,589,678 \n" ] }, { @@ -15094,14 +15068,14 @@ "output_type": "stream", "text": [ "\r", - " 92%|█████████████████████████████████████████████████████████▋ | 0.9150442477876106/1 [1:01:08<05:00, 3533.44s/it]" + " 92%|█████████████████████████████████████████████████████████▋ | 0.9150442477876106/1 [1:00:17<04:57, 3496.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:19:15> Block 518 of 565 complete - 91.68 % - created peptides 176,848 \n" + "2022-03-27 06:20:54> Block 518 of 565 complete - 91.68 % - created peptides 149,742 - total peptides 87,739,420 \n" ] }, { @@ -15109,14 +15083,14 @@ "output_type": "stream", "text": [ "\r", - " 92%|█████████████████████████████████████████████████████████▊ | 0.9168141592920354/1 [1:01:14<05:01, 3623.64s/it]" + " 92%|█████████████████████████████████████████████████████████▊ | 0.9168141592920354/1 [1:00:24<04:58, 3585.73s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:19:22> Block 519 of 565 complete - 91.86 % - created peptides 149,582 \n" + "2022-03-27 06:21:00> Block 519 of 565 complete - 91.86 % - created peptides 181,442 - total peptides 87,920,862 \n" ] }, { @@ -15124,14 +15098,14 @@ "output_type": "stream", "text": [ "\r", - " 92%|█████████████████████████████████████████████████████████▊ | 0.9185840707964602/1 [1:01:21<05:01, 3700.64s/it]" + " 92%|█████████████████████████████████████████████████████████▊ | 0.9185840707964602/1 [1:00:31<04:59, 3674.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:19:29> Block 520 of 565 complete - 92.04 % - created peptides 190,912 \n" + "2022-03-27 06:21:07> Block 520 of 565 complete - 92.04 % - created peptides 193,320 - total peptides 88,114,182 \n" ] }, { @@ -15139,14 +15113,14 @@ "output_type": "stream", "text": [ "\r", - " 92%|█████████████████████████████████████████████████████████▉ | 0.9203539823008849/1 [1:01:28<05:02, 3796.66s/it]" + " 92%|█████████████████████████████████████████████████████████▉ | 0.9203539823008849/1 [1:00:38<05:00, 3768.08s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:19:36> Block 521 of 565 complete - 92.21 % - created peptides 149,742 \n" + "2022-03-27 06:21:14> Block 521 of 565 complete - 92.21 % - created peptides 154,686 - total peptides 88,268,868 \n" ] }, { @@ -15154,14 +15128,14 @@ "output_type": "stream", "text": [ "\r", - " 92%|██████████████████████████████████████████████████████████ | 0.9221238938053097/1 [1:01:34<04:36, 3550.73s/it]" + " 92%|██████████████████████████████████████████████████████████ | 0.9221238938053097/1 [1:00:43<04:33, 3515.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:19:41> Block 522 of 565 complete - 92.39 % - created peptides 178,160 \n" + "2022-03-27 06:21:20> Block 522 of 565 complete - 92.39 % - created peptides 143,122 - total peptides 88,411,990 \n" ] }, { @@ -15169,14 +15143,14 @@ "output_type": "stream", "text": [ "\r", - " 92%|██████████████████████████████████████████████████████████▏ | 0.9238938053097345/1 [1:01:40<04:36, 3632.50s/it]" + " 92%|██████████████████████████████████████████████████████████▏ | 0.9238938053097345/1 [1:00:50<04:33, 3597.53s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:19:48> Block 523 of 565 complete - 92.57 % - created peptides 143,122 \n" + "2022-03-27 06:21:26> Block 523 of 565 complete - 92.57 % - created peptides 178,160 - total peptides 88,590,150 \n" ] }, { @@ -15184,14 +15158,14 @@ "output_type": "stream", "text": [ "\r", - " 93%|██████████████████████████████████████████████████████████▎ | 0.9256637168141593/1 [1:01:47<04:37, 3737.00s/it]" + " 93%|██████████████████████████████████████████████████████████▎ | 0.9256637168141593/1 [1:00:57<04:33, 3685.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:19:55> Block 524 of 565 complete - 92.74 % - created peptides 154,686 \n" + "2022-03-27 06:21:33> Block 524 of 565 complete - 92.74 % - created peptides 190,912 - total peptides 88,781,062 \n" ] }, { @@ -15199,14 +15173,14 @@ "output_type": "stream", "text": [ "\r", - " 93%|██████████████████████████████████████████████████████████▍ | 0.9274336283185841/1 [1:01:53<04:13, 3490.47s/it]" + " 93%|██████████████████████████████████████████████████████████▍ | 0.9274336283185841/1 [1:01:04<04:32, 3761.99s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:00> Block 525 of 565 complete - 92.92 % - created peptides 205,926 \n" + "2022-03-27 06:21:40> Block 525 of 565 complete - 92.92 % - created peptides 157,008 - total peptides 88,938,070 \n" ] }, { @@ -15214,14 +15188,14 @@ "output_type": "stream", "text": [ "\r", - " 93%|██████████████████████████████████████████████████████████▌ | 0.9292035398230089/1 [1:01:59<04:13, 3587.20s/it]" + " 93%|██████████████████████████████████████████████████████████▌ | 0.9292035398230089/1 [1:01:09<04:08, 3513.73s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:07> Block 526 of 565 complete - 93.10 % - created peptides 184,540 \n" + "2022-03-27 06:21:45> Block 526 of 565 complete - 93.10 % - created peptides 142,578 - total peptides 89,080,648 \n" ] }, { @@ -15229,14 +15203,14 @@ "output_type": "stream", "text": [ "\r", - " 93%|██████████████████████████████████████████████████████████▋ | 0.9309734513274336/1 [1:02:06<04:10, 3625.42s/it]" + " 93%|██████████████████████████████████████████████████████████▋ | 0.9309734513274336/1 [1:01:15<04:05, 3557.22s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:14> Block 527 of 565 complete - 93.27 % - created peptides 173,692 \n" + "2022-03-27 06:21:52> Block 527 of 565 complete - 93.27 % - created peptides 173,692 - total peptides 89,254,340 \n" ] }, { @@ -15244,14 +15218,14 @@ "output_type": "stream", "text": [ "\r", - " 93%|██████████████████████████████████████████████████████████▊ | 0.9327433628318584/1 [1:02:13<04:06, 3665.98s/it]" + " 93%|██████████████████████████████████████████████████████████▊ | 0.9327433628318584/1 [1:01:22<04:03, 3615.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:20> Block 528 of 565 complete - 93.45 % - created peptides 142,578 \n" + "2022-03-27 06:21:58> Block 528 of 565 complete - 93.45 % - created peptides 184,540 - total peptides 89,438,880 \n" ] }, { @@ -15259,14 +15233,14 @@ "output_type": "stream", "text": [ "\r", - " 93%|██████████████████████████████████████████████████████████▊ | 0.9345132743362832/1 [1:02:19<04:02, 3697.13s/it]" + " 93%|██████████████████████████████████████████████████████████▊ | 0.9345132743362832/1 [1:01:29<03:59, 3664.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:27> Block 529 of 565 complete - 93.63 % - created peptides 126,930 \n" + "2022-03-27 06:22:05> Block 529 of 565 complete - 93.63 % - created peptides 168,528 - total peptides 89,607,408 \n" ] }, { @@ -15274,14 +15248,14 @@ "output_type": "stream", "text": [ "\r", - " 94%|██████████████████████████████████████████████████████████▉ | 0.9362831858407079/1 [1:02:26<03:57, 3728.05s/it]" + " 94%|██████████████████████████████████████████████████████████▉ | 0.9362831858407079/1 [1:01:35<03:56, 3713.25s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:34> Block 530 of 565 complete - 93.81 % - created peptides 157,008 \n" + "2022-03-27 06:22:12> Block 530 of 565 complete - 93.81 % - created peptides 205,926 - total peptides 89,813,334 \n" ] }, { @@ -15289,14 +15263,14 @@ "output_type": "stream", "text": [ "\r", - " 94%|███████████████████████████████████████████████████████████ | 0.9380530973451328/1 [1:02:33<03:53, 3765.04s/it]" + " 94%|███████████████████████████████████████████████████████████ | 0.9380530973451328/1 [1:01:42<03:53, 3770.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:40> Block 531 of 565 complete - 93.98 % - created peptides 137,432 \n" + "2022-03-27 06:22:19> Block 531 of 565 complete - 93.98 % - created peptides 137,432 - total peptides 89,950,766 \n" ] }, { @@ -15304,14 +15278,14 @@ "output_type": "stream", "text": [ "\r", - " 94%|███████████████████████████████████████████████████████████▏ | 0.9398230088495575/1 [1:02:40<03:48, 3804.72s/it]" + " 94%|███████████████████████████████████████████████████████████▏ | 0.9398230088495575/1 [1:01:49<03:49, 3812.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:47> Block 532 of 565 complete - 94.16 % - created peptides 149,452 \n" + "2022-03-27 06:22:26> Block 532 of 565 complete - 94.16 % - created peptides 126,930 - total peptides 90,077,696 \n" ] }, { @@ -15319,14 +15293,14 @@ "output_type": "stream", "text": [ "\r", - " 94%|███████████████████████████████████████████████████████████▎ | 0.9415929203539823/1 [1:02:45<03:27, 3546.39s/it]" + " 94%|███████████████████████████████████████████████████████████▎ | 0.9415929203539823/1 [1:01:54<03:27, 3555.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:52> Block 533 of 565 complete - 94.34 % - created peptides 168,528 \n" + "2022-03-27 06:22:31> Block 533 of 565 complete - 94.34 % - created peptides 149,452 - total peptides 90,227,148 \n" ] }, { @@ -15334,14 +15308,14 @@ "output_type": "stream", "text": [ "\r", - " 94%|███████████████████████████████████████████████████████████▍ | 0.9433628318584071/1 [1:02:52<03:23, 3601.57s/it]" + " 94%|███████████████████████████████████████████████████████████▍ | 0.9433628318584071/1 [1:02:01<03:24, 3603.88s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:20:59> Block 534 of 565 complete - 94.51 % - created peptides 161,382 \n" + "2022-03-27 06:22:37> Block 534 of 565 complete - 94.51 % - created peptides 161,382 - total peptides 90,388,530 \n" ] }, { @@ -15349,14 +15323,14 @@ "output_type": "stream", "text": [ "\r", - " 95%|███████████████████████████████████████████████████████████▌ | 0.9451327433628318/1 [1:02:58<03:19, 3634.00s/it]" + " 95%|███████████████████████████████████████████████████████████▌ | 0.9451327433628318/1 [1:02:08<03:19, 3629.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:21:06> Block 535 of 565 complete - 94.69 % - created peptides 125,894 \n" + "2022-03-27 06:22:44> Block 535 of 565 complete - 94.69 % - created peptides 125,894 - total peptides 90,514,424 \n" ] }, { @@ -15364,14 +15338,14 @@ "output_type": "stream", "text": [ "\r", - " 95%|███████████████████████████████████████████████████████████▋ | 0.9469026548672567/1 [1:03:05<03:12, 3630.41s/it]" + " 95%|███████████████████████████████████████████████████████████▋ | 0.9469026548672567/1 [1:02:14<03:13, 3645.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:21:12> Block 536 of 565 complete - 94.87 % - created peptides 132,404 \n" + "2022-03-27 06:22:51> Block 536 of 565 complete - 94.87 % - created peptides 169,904 - total peptides 90,684,328 \n" ] }, { @@ -15379,14 +15353,14 @@ "output_type": "stream", "text": [ "\r", - " 95%|███████████████████████████████████████████████████████████▊ | 0.9486725663716814/1 [1:03:11<03:06, 3636.33s/it]" + " 95%|███████████████████████████████████████████████████████████▊ | 0.9486725663716814/1 [1:02:21<03:08, 3663.89s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:21:19> Block 537 of 565 complete - 95.04 % - created peptides 141,800 \n" + "2022-03-27 06:22:57> Block 537 of 565 complete - 95.04 % - created peptides 141,800 - total peptides 90,826,128 \n" ] }, { @@ -15394,14 +15368,14 @@ "output_type": "stream", "text": [ "\r", - " 95%|███████████████████████████████████████████████████████████▉ | 0.9504424778761061/1 [1:03:18<03:00, 3649.43s/it]" + " 95%|███████████████████████████████████████████████████████████▉ | 0.9504424778761061/1 [1:02:27<03:01, 3670.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:21:25> Block 538 of 565 complete - 95.22 % - created peptides 169,904 \n" + "2022-03-27 06:23:04> Block 538 of 565 complete - 95.22 % - created peptides 132,404 - total peptides 90,958,532 \n" ] }, { @@ -15409,14 +15383,14 @@ "output_type": "stream", "text": [ "\r", - " 95%|████████████████████████████████████████████████████████████▉ | 0.952212389380531/1 [1:03:24<02:54, 3656.62s/it]" + " 95%|████████████████████████████████████████████████████████████▉ | 0.952212389380531/1 [1:02:34<02:55, 3671.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:21:32> Block 539 of 565 complete - 95.40 % - created peptides 133,970 \n" + "2022-03-27 06:23:10> Block 539 of 565 complete - 95.40 % - created peptides 132,258 - total peptides 91,090,790 \n" ] }, { @@ -15424,14 +15398,14 @@ "output_type": "stream", "text": [ "\r", - " 95%|████████████████████████████████████████████████████████████ | 0.9539823008849557/1 [1:03:30<02:48, 3654.40s/it]" + " 95%|████████████████████████████████████████████████████████████ | 0.9539823008849557/1 [1:02:40<02:48, 3672.43s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:21:38> Block 540 of 565 complete - 95.58 % - created peptides 132,258 \n" + "2022-03-27 06:23:17> Block 540 of 565 complete - 95.58 % - created peptides 133,970 - total peptides 91,224,760 \n" ] }, { @@ -15439,14 +15413,14 @@ "output_type": "stream", "text": [ "\r", - " 96%|████████████████████████████████████████████████████████████▏ | 0.9557522123893806/1 [1:03:37<02:41, 3640.06s/it]" + " 96%|████████████████████████████████████████████████████████████▏ | 0.9557522123893806/1 [1:02:47<02:42, 3672.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:21:44> Block 541 of 565 complete - 95.75 % - created peptides 186,952 \n" + "2022-03-27 06:23:23> Block 541 of 565 complete - 95.75 % - created peptides 135,644 - total peptides 91,360,404 \n" ] }, { @@ -15454,14 +15428,14 @@ "output_type": "stream", "text": [ "\r", - " 96%|████████████████████████████████████████████████████████████▎ | 0.9575221238938053/1 [1:03:43<02:35, 3651.98s/it]" + " 96%|████████████████████████████████████████████████████████████▎ | 0.9575221238938053/1 [1:02:53<02:36, 3674.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:21:51> Block 542 of 565 complete - 95.93 % - created peptides 135,644 \n" + "2022-03-27 06:23:30> Block 542 of 565 complete - 95.93 % - created peptides 141,066 - total peptides 91,501,470 \n" ] }, { @@ -15469,14 +15443,14 @@ "output_type": "stream", "text": [ "\r", - " 96%|██████████████████████████████████████████████████████████████▎ | 0.95929203539823/1 [1:03:51<02:38, 3886.43s/it]" + " 96%|██████████████████████████████████████████████████████████████▎ | 0.95929203539823/1 [1:03:00<02:29, 3675.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:21:59> Block 543 of 565 complete - 96.11 % - created peptides 141,066 \n" + "2022-03-27 06:23:36> Block 543 of 565 complete - 96.11 % - created peptides 138,306 - total peptides 91,639,776 \n" ] }, { @@ -15484,14 +15458,14 @@ "output_type": "stream", "text": [ "\r", - " 96%|████████████████████████████████████████████████████████████▌ | 0.9610619469026549/1 [1:03:56<02:20, 3596.04s/it]" + " 96%|████████████████████████████████████████████████████████████▌ | 0.9610619469026549/1 [1:03:06<02:22, 3667.53s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:22:04> Block 544 of 565 complete - 96.28 % - created peptides 138,306 \n" + "2022-03-27 06:23:43> Block 544 of 565 complete - 96.28 % - created peptides 130,040 - total peptides 91,769,816 \n" ] }, { @@ -15499,14 +15473,14 @@ "output_type": "stream", "text": [ "\r", - " 96%|████████████████████████████████████████████████████████████▋ | 0.9628318584070796/1 [1:04:04<02:22, 3828.37s/it]" + " 96%|████████████████████████████████████████████████████████████▋ | 0.9628318584070796/1 [1:03:12<02:15, 3642.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:22:12> Block 545 of 565 complete - 96.46 % - created peptides 130,040 \n" + "2022-03-27 06:23:49> Block 545 of 565 complete - 96.46 % - created peptides 152,056 - total peptides 91,921,872 \n" ] }, { @@ -15514,14 +15488,14 @@ "output_type": "stream", "text": [ "\r", - " 96%|████████████████████████████████████████████████████████████▊ | 0.9646017699115044/1 [1:04:11<02:14, 3807.86s/it]" + " 96%|████████████████████████████████████████████████████████████▊ | 0.9646017699115044/1 [1:03:19<02:08, 3636.89s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:22:18> Block 546 of 565 complete - 96.64 % - created peptides 152,056 \n" + "2022-03-27 06:23:55> Block 546 of 565 complete - 96.64 % - created peptides 135,316 - total peptides 92,057,188 \n" ] }, { @@ -15529,14 +15503,14 @@ "output_type": "stream", "text": [ "\r", - " 97%|████████████████████████████████████████████████████████████▉ | 0.9663716814159292/1 [1:04:17<02:07, 3777.49s/it]" + " 97%|████████████████████████████████████████████████████████████▉ | 0.9663716814159292/1 [1:03:25<02:01, 3618.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:22:25> Block 547 of 565 complete - 96.81 % - created peptides 162,856 \n" + "2022-03-27 06:24:02> Block 547 of 565 complete - 96.81 % - created peptides 182,570 - total peptides 92,239,758 \n" ] }, { @@ -15544,14 +15518,14 @@ "output_type": "stream", "text": [ "\r", - " 97%|█████████████████████████████████████████████████████████████▉ | 0.968141592920354/1 [1:04:24<02:00, 3782.14s/it]" + " 97%|█████████████████████████████████████████████████████████████▉ | 0.968141592920354/1 [1:03:33<02:02, 3829.73s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:22:32> Block 548 of 565 complete - 96.99 % - created peptides 182,570 \n" + "2022-03-27 06:24:09> Block 548 of 565 complete - 96.99 % - created peptides 186,952 - total peptides 92,426,710 \n" ] }, { @@ -15559,14 +15533,14 @@ "output_type": "stream", "text": [ "\r", - " 97%|█████████████████████████████████████████████████████████████ | 0.9699115044247788/1 [1:04:31<01:54, 3794.61s/it]" + " 97%|█████████████████████████████████████████████████████████████ | 0.9699115044247788/1 [1:03:39<01:54, 3799.23s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:22:38> Block 549 of 565 complete - 97.17 % - created peptides 135,316 \n" + "2022-03-27 06:24:16> Block 549 of 565 complete - 97.17 % - created peptides 162,856 - total peptides 92,589,566 \n" ] }, { @@ -15574,14 +15548,14 @@ "output_type": "stream", "text": [ "\r", - " 97%|█████████████████████████████████████████████████████████████▏ | 0.9716814159292035/1 [1:04:37<01:46, 3776.91s/it]" + " 97%|█████████████████████████████████████████████████████████████▏ | 0.9716814159292035/1 [1:03:46<01:46, 3765.96s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:22:45> Block 550 of 565 complete - 97.35 % - created peptides 153,930 \n" + "2022-03-27 06:24:22> Block 550 of 565 complete - 97.35 % - created peptides 153,930 - total peptides 92,743,496 \n" ] }, { @@ -15589,14 +15563,14 @@ "output_type": "stream", "text": [ "\r", - " 97%|█████████████████████████████████████████████████████████████▎ | 0.9734513274336283/1 [1:04:44<01:40, 3767.31s/it]" + " 97%|█████████████████████████████████████████████████████████████▎ | 0.9734513274336283/1 [1:03:52<01:39, 3733.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:22:52> Block 551 of 565 complete - 97.52 % - created peptides 143,800 \n" + "2022-03-27 06:24:29> Block 551 of 565 complete - 97.52 % - created peptides 203,298 - total peptides 92,946,794 \n" ] }, { @@ -15604,14 +15578,14 @@ "output_type": "stream", "text": [ "\r", - " 98%|█████████████████████████████████████████████████████████████▍ | 0.9752212389380531/1 [1:04:51<01:32, 3740.75s/it]" + " 98%|█████████████████████████████████████████████████████████████▍ | 0.9752212389380531/1 [1:03:59<01:32, 3715.60s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:22:58> Block 552 of 565 complete - 97.70 % - created peptides 203,298 \n" + "2022-03-27 06:24:35> Block 552 of 565 complete - 97.70 % - created peptides 162,482 - total peptides 93,109,276 \n" ] }, { @@ -15619,14 +15593,14 @@ "output_type": "stream", "text": [ "\r", - " 98%|█████████████████████████████████████████████████████████████▌ | 0.9769911504424779/1 [1:04:57<01:25, 3737.12s/it]" + " 98%|█████████████████████████████████████████████████████████████▌ | 0.9769911504424779/1 [1:04:05<01:24, 3683.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:23:05> Block 553 of 565 complete - 97.88 % - created peptides 162,482 \n" + "2022-03-27 06:24:42> Block 553 of 565 complete - 97.88 % - created peptides 187,358 - total peptides 93,296,634 \n" ] }, { @@ -15634,14 +15608,14 @@ "output_type": "stream", "text": [ "\r", - " 98%|█████████████████████████████████████████████████████████████▋ | 0.9787610619469026/1 [1:05:04<01:18, 3706.42s/it]" + " 98%|█████████████████████████████████████████████████████████████▋ | 0.9787610619469026/1 [1:04:13<01:21, 3849.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:23:11> Block 554 of 565 complete - 98.05 % - created peptides 140,108 \n" + "2022-03-27 06:24:49> Block 554 of 565 complete - 98.05 % - created peptides 190,298 - total peptides 93,486,932 \n" ] }, { @@ -15649,14 +15623,14 @@ "output_type": "stream", "text": [ "\r", - " 98%|█████████████████████████████████████████████████████████████▊ | 0.9805309734513274/1 [1:05:11<01:15, 3855.89s/it]" + " 98%|█████████████████████████████████████████████████████████████▊ | 0.9805309734513274/1 [1:04:19<01:13, 3792.73s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:23:19> Block 555 of 565 complete - 98.23 % - created peptides 136,628 \n" + "2022-03-27 06:24:56> Block 555 of 565 complete - 98.23 % - created peptides 95,990 - total peptides 93,582,922 \n" ] }, { @@ -15664,14 +15638,14 @@ "output_type": "stream", "text": [ "\r", - " 98%|█████████████████████████████████████████████████████████████▉ | 0.9823008849557522/1 [1:05:17<01:06, 3779.68s/it]" + " 98%|█████████████████████████████████████████████████████████████▉ | 0.9823008849557522/1 [1:04:26<01:05, 3709.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:23:25> Block 556 of 565 complete - 98.41 % - created peptides 187,358 \n" + "2022-03-27 06:25:02> Block 556 of 565 complete - 98.41 % - created peptides 143,800 - total peptides 93,726,722 \n" ] }, { @@ -15679,14 +15653,14 @@ "output_type": "stream", "text": [ "\r", - " 98%|██████████████████████████████████████████████████████████████▉ | 0.984070796460177/1 [1:05:24<00:59, 3721.71s/it]" + " 98%|██████████████████████████████████████████████████████████████▉ | 0.984070796460177/1 [1:04:33<01:01, 3837.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:23:31> Block 557 of 565 complete - 98.58 % - created peptides 190,298 \n" + "2022-03-27 06:25:09> Block 557 of 565 complete - 98.58 % - created peptides 140,108 - total peptides 93,866,830 \n" ] }, { @@ -15694,14 +15668,14 @@ "output_type": "stream", "text": [ "\r", - " 99%|██████████████████████████████████████████████████████████████ | 0.9858407079646018/1 [1:05:31<00:54, 3859.72s/it]" + " 99%|██████████████████████████████████████████████████████████████ | 0.9858407079646018/1 [1:04:39<00:53, 3748.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:23:39> Block 558 of 565 complete - 98.76 % - created peptides 173,272 \n" + "2022-03-27 06:25:16> Block 558 of 565 complete - 98.76 % - created peptides 227,428 - total peptides 94,094,258 \n" ] }, { @@ -15709,14 +15683,14 @@ "output_type": "stream", "text": [ "\r", - " 99%|██████████████████████████████████████████████████████████████▏| 0.9876106194690265/1 [1:05:37<00:46, 3775.60s/it]" + " 99%|██████████████████████████████████████████████████████████████▏| 0.9876106194690265/1 [1:04:47<00:48, 3887.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:23:45> Block 559 of 565 complete - 98.94 % - created peptides 170,758 \n" + "2022-03-27 06:25:23> Block 559 of 565 complete - 98.94 % - created peptides 136,628 - total peptides 94,230,886 \n" ] }, { @@ -15724,14 +15698,14 @@ "output_type": "stream", "text": [ "\r", - " 99%|██████████████████████████████████████████████████████████████▎| 0.9893805309734514/1 [1:05:45<00:41, 3886.65s/it]" + " 99%|██████████████████████████████████████████████████████████████▎| 0.9893805309734514/1 [1:04:53<00:40, 3790.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:23:52> Block 560 of 565 complete - 99.12 % - created peptides 185,836 \n" + "2022-03-27 06:25:29> Block 560 of 565 complete - 99.12 % - created peptides 185,836 - total peptides 94,416,722 \n" ] }, { @@ -15739,14 +15713,14 @@ "output_type": "stream", "text": [ "\r", - " 99%|██████████████████████████████████████████████████████████████▍| 0.9911504424778761/1 [1:05:51<00:33, 3789.87s/it]" + " 99%|██████████████████████████████████████████████████████████████▍| 0.9911504424778761/1 [1:05:00<00:34, 3910.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:23:59> Block 561 of 565 complete - 99.29 % - created peptides 95,990 \n" + "2022-03-27 06:25:37> Block 561 of 565 complete - 99.29 % - created peptides 211,550 - total peptides 94,628,272 \n" ] }, { @@ -15754,14 +15728,14 @@ "output_type": "stream", "text": [ "\r", - " 99%|██████████████████████████████████████████████████████████████▌| 0.9929203539823008/1 [1:05:58<00:27, 3866.21s/it]" + " 99%|██████████████████████████████████████████████████████████████▌| 0.9929203539823008/1 [1:05:07<00:27, 3820.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:24:06> Block 562 of 565 complete - 99.47 % - created peptides 160,634 \n" + "2022-03-27 06:25:43> Block 562 of 565 complete - 99.47 % - created peptides 173,272 - total peptides 94,801,544 \n" ] }, { @@ -15769,14 +15743,14 @@ "output_type": "stream", "text": [ "\r", - " 99%|██████████████████████████████████████████████████████████████▋| 0.9946902654867257/1 [1:06:06<00:21, 3965.13s/it]" + " 99%|██████████████████████████████████████████████████████████████▋| 0.9946902654867257/1 [1:05:14<00:20, 3900.36s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:24:13> Block 563 of 565 complete - 99.65 % - created peptides 211,550 \n" + "2022-03-27 06:25:50> Block 563 of 565 complete - 99.65 % - created peptides 141,764 - total peptides 94,943,308 \n" ] }, { @@ -15784,14 +15758,14 @@ "output_type": "stream", "text": [ "\r", - "100%|██████████████████████████████████████████████████████████████▊| 0.9964601769911504/1 [1:06:12<00:13, 3853.83s/it]" + "100%|██████████████████████████████████████████████████████████████▊| 0.9964601769911504/1 [1:05:20<00:13, 3791.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:24:20> Block 564 of 565 complete - 99.82 % - created peptides 227,428 \n" + "2022-03-27 06:25:57> Block 564 of 565 complete - 99.82 % - created peptides 170,758 - total peptides 95,114,066 \n" ] }, { @@ -15799,14 +15773,14 @@ "output_type": "stream", "text": [ "\r", - "100%|██████████████████████████████████████████████████████████████▉| 0.9982300884955753/1 [1:06:19<00:06, 3935.79s/it]" + "100%|██████████████████████████████████████████████████████████████▉| 0.9982300884955753/1 [1:05:27<00:06, 3868.88s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:24:27> Block 565 of 565 complete - 100.00 % - created peptides 141,764 \n" + "2022-03-27 06:26:04> Block 565 of 565 complete - 100.00 % - created peptides 160,634 - total peptides 95,274,700 \n" ] }, { @@ -15814,17 +15788,17 @@ "output_type": "stream", "text": [ "\r", - "100%|██████████████████████████████████████████████████████████████████████████████| 1.0/1 [1:06:27<00:00, 4017.31s/it]" + "100%|██████████████████████████████████████████████████████████████████████████████| 1.0/1 [1:05:35<00:00, 3947.18s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:24:37> Saving as first_search\n", - "2022-03-23 05:25:58> Complete. Created peptides 95,274,700\n", - "2022-03-23 05:26:00> First search complete.\n", - "2022-03-23 05:26:00> ==== recalibrate_data ====\n" + "2022-03-27 06:26:13> Saving as first_search\n", + "2022-03-27 06:27:35> Complete. Created peptides 95,274,700\n", + "2022-03-27 06:27:37> First search complete.\n", + "2022-03-27 06:27:37> ==== recalibrate_data ====\n" ] }, { @@ -15839,23 +15813,23 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:26:00> Processing 1 files for step calibrate_hdf\n", - "2022-03-23 05:26:00> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", - "2022-03-23 05:26:02> Scoring using X-Tandem\n", - "2022-03-23 05:26:04> 30,906 target (309 decoy) of 133344 PSMs. fdr 0.009998 for a cutoff of 30.22 (set fdr was 0.01)\n", - "2022-03-23 05:26:04> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", - "2022-03-23 05:26:07> Precursor calibration std 0.89, 0.20\n", - "2022-03-23 05:26:07> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", - "2022-03-23 05:26:07> Starting fragment calibration.\n", - "2022-03-23 05:26:07> Calibrating fragments with neighbors\n", - "2022-03-23 05:26:09> Scoring using X-Tandem\n", - "2022-03-23 05:26:11> 30,906 target (309 decoy) of 133344 PSMs. fdr 0.009998 for a cutoff of 30.22 (set fdr was 0.01)\n", - "2022-03-23 05:26:12> Minimum hits for fragments before score 7.00.\n", - "2022-03-23 05:26:12> Minimum hits for fragments after score 9.17.\n", - "2022-03-23 05:26:33> Median offset (std) -0.21 (9.61) - after calibration 0.00 (9.06) Mad offset 4.36\n", - "2022-03-23 05:26:33> Saving calibration\n", - "2022-03-23 05:27:12> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", - "2022-03-23 05:27:12> ==== search_data ====\n" + "2022-03-27 06:27:37> Processing 1 files for step calibrate_hdf\n", + "2022-03-27 06:27:37> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", + "2022-03-27 06:27:39> Scoring using X-Tandem\n", + "2022-03-27 06:27:41> 30,919 target (309 decoy) of 133352 PSMs. fdr 0.009994 for a cutoff of 30.22 (set fdr was 0.01)\n", + "2022-03-27 06:27:42> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", + "2022-03-27 06:27:44> Precursor calibration std 0.89, 0.20\n", + "2022-03-27 06:27:44> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", + "2022-03-27 06:27:44> Starting fragment calibration.\n", + "2022-03-27 06:27:44> Calibrating fragments with neighbors\n", + "2022-03-27 06:27:46> Scoring using X-Tandem\n", + "2022-03-27 06:27:49> 30,919 target (309 decoy) of 133352 PSMs. fdr 0.009994 for a cutoff of 30.22 (set fdr was 0.01)\n", + "2022-03-27 06:27:49> Minimum hits for fragments before score 7.00.\n", + "2022-03-27 06:27:50> Minimum hits for fragments after score 9.17.\n", + "2022-03-27 06:28:11> Median offset (std) -0.21 (9.61) - after calibration 0.00 (9.06) Mad offset 4.36\n", + "2022-03-27 06:28:11> Saving calibration\n", + "2022-03-27 06:28:49> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", + "2022-03-27 06:28:50> ==== search_data ====\n" ] }, { @@ -15871,12 +15845,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:27:12> Starting second search with DB.\n", - "2022-03-23 05:27:12> Starting second search.\n", - "2022-03-23 05:27:24> Number of FASTA entries: 564,523 - FASTA settings {'mods_fixed': ['cC'], 'mods_fixed_terminal': [], 'mods_variable': ['oxM'], 'mods_variable_terminal': [], 'mods_fixed_terminal_prot': [], 'mods_variable_terminal_prot': ['a<^'], 'n_missed_cleavages': 2, 'pep_length_min': 7, 'pep_length_max': 27, 'isoforms_max': 1024, 'n_modifications_max': 3, 'pseudo_reverse': True, 'AL_swap': False, 'KR_swap': False, 'protease': 'trypsin', 'spectra_block': 100000, 'fasta_block': 1000, 'save_db': True, 'fasta_size_max': 100}\n", - "2022-03-23 05:27:24> Setting Process limit to 29\n", - "2022-03-23 05:27:24> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 05:28:52> Block 1 of 565 complete - 0.18 % - created peptides 127,088 \n" + "2022-03-27 06:28:50> Starting second search with DB.\n", + "2022-03-27 06:28:50> Starting second search.\n", + "2022-03-27 06:29:01> Number of FASTA entries: 564,523 - FASTA settings {'mods_fixed': ['cC'], 'mods_fixed_terminal': [], 'mods_variable': ['oxM'], 'mods_variable_terminal': [], 'mods_fixed_terminal_prot': [], 'mods_variable_terminal_prot': ['a<^'], 'n_missed_cleavages': 2, 'pep_length_min': 7, 'pep_length_max': 27, 'isoforms_max': 1024, 'n_modifications_max': 3, 'pseudo_reverse': True, 'AL_swap': False, 'KR_swap': False, 'protease': 'trypsin', 'spectra_block': 100000, 'fasta_block': 1000, 'save_db': True, 'fasta_size_max': 100}\n", + "2022-03-27 06:29:01> Setting Process limit to 24\n", + "2022-03-27 06:29:01> AlphaPool was set to 24 processes. Setting max to 24.\n", + "2022-03-27 06:30:29> Block 1 of 565 complete - 0.18 % - created peptides 123,414 - total peptides 123,414 \n" ] }, { @@ -15885,14 +15859,14 @@ "text": [ "\n", "\n", - " 0%| | 0.0017699115044247787/1 [01:39<15:32:26, 56045.98s/it]\u001b[A\u001b[A" + " 0%| | 0.0017699115044247787/1 [01:39<15:35:59, 56258.90s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:28:52> Block 2 of 565 complete - 0.35 % - created peptides 123,414 \n" + "2022-03-27 06:30:29> Block 2 of 565 complete - 0.35 % - created peptides 127,088 - total peptides 250,502 \n" ] }, { @@ -15901,14 +15875,14 @@ "text": [ "\n", "\n", - " 0%|▏ | 0.0035398230088495575/1 [01:39<6:26:02, 23244.46s/it]\u001b[A\u001b[A" + " 0%|▏ | 0.0035398230088495575/1 [01:39<6:26:30, 23272.58s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:28:52> Block 3 of 565 complete - 0.53 % - created peptides 128,598 \n" + "2022-03-27 06:30:30> Block 3 of 565 complete - 0.53 % - created peptides 128,598 - total peptides 379,100 \n" ] }, { @@ -15917,14 +15891,14 @@ "text": [ "\n", "\n", - " 1%|▎ | 0.005309734513274336/1 [01:40<3:31:30, 12758.37s/it]\u001b[A\u001b[A" + " 1%|▎ | 0.005309734513274336/1 [01:41<3:35:17, 12986.94s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:28:53> Block 4 of 565 complete - 0.71 % - created peptides 136,728 \n" + "2022-03-27 06:30:31> Block 4 of 565 complete - 0.71 % - created peptides 132,722 - total peptides 511,822 \n" ] }, { @@ -15933,32 +15907,32 @@ "text": [ "\n", "\n", - " 1%|▍ | 0.007079646017699115/1 [01:41<2:11:47, 7964.35s/it]\u001b[A\u001b[A" + " 1%|▍ | 0.007079646017699115/1 [01:42<2:15:37, 8195.08s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:28:54> Block 5 of 565 complete - 0.88 % - created peptides 132,722 \n" + "2022-03-27 06:30:32> Block 5 of 565 complete - 0.88 % - created peptides 136,728 - total peptides 648,550 \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████████████████████████████████████████████████████████████████████████| 1.0/1 [1:10:47<00:00, 4247.63s/it]\n", - " 0%| | 0/1 [02:54 Block 6 of 565 complete - 1.06 % - created peptides 133,948 \n" + "2022-03-27 06:30:34> Block 6 of 565 complete - 1.06 % - created peptides 133,948 - total peptides 782,498 \n" ] }, { @@ -15967,14 +15941,14 @@ "text": [ "\n", "\n", - " 1%|▋ | 0.010619469026548672/1 [01:44<1:02:34, 3794.76s/it]\u001b[A\u001b[A" + " 1%|▋ | 0.010619469026548672/1 [01:46<1:06:38, 4040.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:28:56> Block 7 of 565 complete - 1.24 % - created peptides 143,956 \n" + "2022-03-27 06:30:36> Block 7 of 565 complete - 1.24 % - created peptides 143,956 - total peptides 926,454 \n" ] }, { @@ -15983,14 +15957,14 @@ "text": [ "\n", "\n", - " 1%|▊ | 0.012389380530973451/1 [01:45<48:02, 2918.16s/it]\u001b[A\u001b[A" + " 1%|▊ | 0.012389380530973451/1 [01:47<48:32, 2948.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:28:58> Block 8 of 565 complete - 1.42 % - created peptides 140,554 \n" + "2022-03-27 06:30:37> Block 8 of 565 complete - 1.42 % - created peptides 140,554 - total peptides 1,067,008 \n" ] }, { @@ -15999,14 +15973,14 @@ "text": [ "\n", "\n", - " 1%|▉ | 0.01415929203539823/1 [01:48<38:59, 2372.64s/it]\u001b[A\u001b[A" + " 1%|▉ | 0.01415929203539823/1 [01:49<39:00, 2373.74s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:01> Block 9 of 565 complete - 1.59 % - created peptides 142,270 \n" + "2022-03-27 06:30:39> Block 9 of 565 complete - 1.59 % - created peptides 142,270 - total peptides 1,209,278 \n" ] }, { @@ -16015,14 +15989,14 @@ "text": [ "\n", "\n", - " 2%|█ | 0.01592920353982301/1 [01:50<34:08, 2081.19s/it]\u001b[A\u001b[A" + " 2%|█ | 0.01592920353982301/1 [01:51<33:42, 2055.01s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:03> Block 10 of 565 complete - 1.77 % - created peptides 127,222 \n" + "2022-03-27 06:30:41> Block 10 of 565 complete - 1.77 % - created peptides 149,714 - total peptides 1,358,992 \n" ] }, { @@ -16031,14 +16005,14 @@ "text": [ "\n", "\n", - " 2%|█ | 0.017699115044247787/1 [01:53<30:40, 1873.81s/it]\u001b[A\u001b[A" + " 2%|█ | 0.017699115044247787/1 [01:54<30:10, 1842.63s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:06> Block 11 of 565 complete - 1.95 % - created peptides 150,902 \n" + "2022-03-27 06:30:44> Block 11 of 565 complete - 1.95 % - created peptides 127,222 - total peptides 1,486,214 \n" ] }, { @@ -16047,14 +16021,14 @@ "text": [ "\n", "\n", - " 2%|█▏ | 0.019469026548672566/1 [01:54<26:03, 1594.16s/it]\u001b[A\u001b[A" + " 2%|█▏ | 0.019469026548672566/1 [01:56<27:04, 1656.48s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:07> Block 12 of 565 complete - 2.12 % - created peptides 149,714 \n" + "2022-03-27 06:30:46> Block 12 of 565 complete - 2.12 % - created peptides 150,902 - total peptides 1,637,116 \n" ] }, { @@ -16063,14 +16037,14 @@ "text": [ "\n", "\n", - " 2%|█▎ | 0.021238938053097345/1 [01:57<25:54, 1588.01s/it]\u001b[A\u001b[A" + " 2%|█▎ | 0.021238938053097345/1 [01:59<27:12, 1667.74s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:10> Block 13 of 565 complete - 2.30 % - created peptides 161,018 \n" + "2022-03-27 06:30:49> Block 13 of 565 complete - 2.30 % - created peptides 165,944 - total peptides 1,803,060 \n" ] }, { @@ -16079,14 +16053,14 @@ "text": [ "\n", "\n", - " 2%|█▍ | 0.023008849557522124/1 [02:00<25:55, 1592.03s/it]\u001b[A\u001b[A" + " 2%|█▍ | 0.023008849557522124/1 [02:02<27:19, 1677.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:13> Block 14 of 565 complete - 2.48 % - created peptides 164,228 \n" + "2022-03-27 06:30:52> Block 14 of 565 complete - 2.48 % - created peptides 161,018 - total peptides 1,964,078 \n" ] }, { @@ -16095,14 +16069,14 @@ "text": [ "\n", "\n", - " 2%|█▌ | 0.024778761061946902/1 [02:02<24:29, 1507.33s/it]\u001b[A\u001b[A" + " 2%|█▌ | 0.024778761061946902/1 [02:04<25:03, 1541.23s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:15> Block 15 of 565 complete - 2.65 % - created peptides 165,944 \n" + "2022-03-27 06:30:54> Block 15 of 565 complete - 2.65 % - created peptides 164,228 - total peptides 2,128,306 \n" ] }, { @@ -16111,14 +16085,14 @@ "text": [ "\n", "\n", - " 3%|█▋ | 0.02654867256637168/1 [02:06<26:14, 1617.90s/it]\u001b[A\u001b[A" + " 3%|█▋ | 0.02654867256637168/1 [02:07<26:05, 1607.84s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:19> Block 16 of 565 complete - 2.83 % - created peptides 159,688 \n" + "2022-03-27 06:30:57> Block 16 of 565 complete - 2.83 % - created peptides 166,612 - total peptides 2,294,918 \n" ] }, { @@ -16127,14 +16101,14 @@ "text": [ "\n", "\n", - " 3%|█▊ | 0.02831858407079646/1 [02:09<27:18, 1686.69s/it]\u001b[A\u001b[A" + " 3%|█▊ | 0.02831858407079646/1 [02:10<24:28, 1511.30s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:22> Block 17 of 565 complete - 3.01 % - created peptides 166,612 \n" + "2022-03-27 06:31:00> Block 17 of 565 complete - 3.01 % - created peptides 159,688 - total peptides 2,454,606 \n" ] }, { @@ -16143,14 +16117,14 @@ "text": [ "\n", "\n", - " 3%|█▉ | 0.03008849557522124/1 [02:11<25:06, 1553.39s/it]\u001b[A\u001b[A" + " 3%|█▉ | 0.03008849557522124/1 [02:12<24:58, 1544.83s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:24> Block 18 of 565 complete - 3.19 % - created peptides 166,654 \n" + "2022-03-27 06:31:03> Block 18 of 565 complete - 3.19 % - created peptides 167,576 - total peptides 2,622,182 \n" ] }, { @@ -16159,14 +16133,14 @@ "text": [ "\n", "\n", - " 3%|██ | 0.03185840707964602/1 [02:15<27:39, 1713.72s/it]\u001b[A\u001b[A" + " 3%|██ | 0.03185840707964602/1 [02:16<27:52, 1727.93s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:28> Block 19 of 565 complete - 3.36 % - created peptides 167,576 \n" + "2022-03-27 06:31:06> Block 19 of 565 complete - 3.36 % - created peptides 171,578 - total peptides 2,793,760 \n" ] }, { @@ -16175,14 +16149,14 @@ "text": [ "\n", "\n", - " 3%|██ | 0.033628318584070796/1 [02:18<28:25, 1764.37s/it]\u001b[A\u001b[A" + " 3%|██ | 0.033628318584070796/1 [02:20<29:41, 1843.66s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:31> Block 20 of 565 complete - 3.54 % - created peptides 171,578 \n" + "2022-03-27 06:31:10> Block 20 of 565 complete - 3.54 % - created peptides 166,654 - total peptides 2,960,414 \n" ] }, { @@ -16191,14 +16165,14 @@ "text": [ "\n", "\n", - " 4%|██▏ | 0.035398230088495575/1 [02:22<30:18, 1885.75s/it]\u001b[A\u001b[A" + " 4%|██▏ | 0.035398230088495575/1 [02:24<31:57, 1987.50s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:35> Block 21 of 565 complete - 3.72 % - created peptides 172,168 \n" + "2022-03-27 06:31:14> Block 21 of 565 complete - 3.72 % - created peptides 172,168 - total peptides 3,132,582 \n" ] }, { @@ -16207,14 +16181,14 @@ "text": [ "\n", "\n", - " 4%|██▍ | 0.03716814159292035/1 [02:25<28:52, 1799.43s/it]\u001b[A\u001b[A" + " 4%|██▍ | 0.03716814159292035/1 [02:27<30:39, 1910.26s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:38> Block 22 of 565 complete - 3.89 % - created peptides 173,356 \n" + "2022-03-27 06:31:17> Block 22 of 565 complete - 3.89 % - created peptides 173,356 - total peptides 3,305,938 \n" ] }, { @@ -16223,14 +16197,14 @@ "text": [ "\n", "\n", - " 4%|██▍ | 0.03893805309734513/1 [02:30<33:29, 2090.47s/it]\u001b[A\u001b[A" + " 4%|██▍ | 0.03893805309734513/1 [02:32<33:55, 2117.93s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:43> Block 23 of 565 complete - 4.07 % - created peptides 183,578 \n" + "2022-03-27 06:31:22> Block 23 of 565 complete - 4.07 % - created peptides 183,578 - total peptides 3,489,516 \n" ] }, { @@ -16239,14 +16213,14 @@ "text": [ "\n", "\n", - " 4%|██▌ | 0.04070796460176991/1 [02:34<35:47, 2238.62s/it]\u001b[A\u001b[A" + " 4%|██▌ | 0.04070796460176991/1 [02:37<38:15, 2392.77s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:47> Block 24 of 565 complete - 4.25 % - created peptides 195,762 \n" + "2022-03-27 06:31:27> Block 24 of 565 complete - 4.25 % - created peptides 195,762 - total peptides 3,685,278 \n" ] }, { @@ -16255,14 +16229,14 @@ "text": [ "\n", "\n", - " 4%|██▋ | 0.04247787610619469/1 [02:39<37:08, 2327.67s/it]\u001b[A\u001b[A" + " 4%|██▋ | 0.04247787610619469/1 [02:42<39:08, 2452.73s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:52> Block 25 of 565 complete - 4.42 % - created peptides 123,870 \n" + "2022-03-27 06:31:32> Block 25 of 565 complete - 4.42 % - created peptides 123,870 - total peptides 3,809,148 \n" ] }, { @@ -16271,14 +16245,14 @@ "text": [ "\n", "\n", - " 4%|██▊ | 0.04424778761061947/1 [02:44<39:16, 2465.98s/it]\u001b[A\u001b[A" + " 4%|██▊ | 0.04424778761061947/1 [02:46<39:25, 2474.84s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:29:57> Block 26 of 565 complete - 4.60 % - created peptides 125,084 \n" + "2022-03-27 06:31:36> Block 26 of 565 complete - 4.60 % - created peptides 125,084 - total peptides 3,934,232 \n" ] }, { @@ -16287,14 +16261,14 @@ "text": [ "\n", "\n", - " 5%|██▉ | 0.04601769911504425/1 [02:49<41:42, 2623.25s/it]\u001b[A\u001b[A" + " 5%|██▉ | 0.04601769911504425/1 [02:51<39:57, 2512.83s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:02> Block 27 of 565 complete - 4.78 % - created peptides 137,994 \n" + "2022-03-27 06:31:41> Block 27 of 565 complete - 4.78 % - created peptides 137,994 - total peptides 4,072,226 \n" ] }, { @@ -16303,14 +16277,14 @@ "text": [ "\n", "\n", - " 5%|███ | 0.047787610619469026/1 [02:54<41:57, 2643.93s/it]\u001b[A\u001b[A" + " 5%|███ | 0.047787610619469026/1 [02:56<42:04, 2650.99s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:07> Block 28 of 565 complete - 4.96 % - created peptides 125,634 \n" + "2022-03-27 06:31:46> Block 28 of 565 complete - 4.96 % - created peptides 125,634 - total peptides 4,197,860 \n" ] }, { @@ -16319,14 +16293,14 @@ "text": [ "\n", "\n", - " 5%|███ | 0.049557522123893805/1 [02:58<41:57, 2648.33s/it]\u001b[A\u001b[A" + " 5%|███ | 0.049557522123893805/1 [03:01<42:34, 2687.72s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:11> Block 29 of 565 complete - 5.13 % - created peptides 165,874 \n" + "2022-03-27 06:31:51> Block 29 of 565 complete - 5.13 % - created peptides 165,874 - total peptides 4,363,734 \n" ] }, { @@ -16335,14 +16309,14 @@ "text": [ "\n", "\n", - " 5%|███▎ | 0.05132743362831858/1 [03:03<42:01, 2658.20s/it]\u001b[A\u001b[A" + " 5%|███▎ | 0.05132743362831858/1 [03:05<39:48, 2517.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:16> Block 30 of 565 complete - 5.31 % - created peptides 121,136 \n" + "2022-03-27 06:31:55> Block 30 of 565 complete - 5.31 % - created peptides 121,136 - total peptides 4,484,870 \n" ] }, { @@ -16351,14 +16325,14 @@ "text": [ "\n", "\n", - " 5%|███▍ | 0.05309734513274336/1 [03:07<39:39, 2513.07s/it]\u001b[A\u001b[A" + " 5%|███▍ | 0.05309734513274336/1 [03:10<40:37, 2573.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:20> Block 31 of 565 complete - 5.49 % - created peptides 170,866 \n" + "2022-03-27 06:32:00> Block 31 of 565 complete - 5.49 % - created peptides 154,758 - total peptides 4,639,628 \n" ] }, { @@ -16367,14 +16341,14 @@ "text": [ "\n", "\n", - " 5%|███▌ | 0.05486725663716814/1 [03:11<39:30, 2507.70s/it]\u001b[A\u001b[A" + " 5%|███▌ | 0.05486725663716814/1 [03:14<41:14, 2617.64s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:24> Block 32 of 565 complete - 5.66 % - created peptides 154,300 \n" + "2022-03-27 06:32:04> Block 32 of 565 complete - 5.66 % - created peptides 137,790 - total peptides 4,777,418 \n" ] }, { @@ -16383,14 +16357,14 @@ "text": [ "\n", "\n", - " 6%|███▌ | 0.05663716814159292/1 [03:16<40:09, 2554.02s/it]\u001b[A\u001b[A" + " 6%|███▌ | 0.05663716814159292/1 [03:20<42:45, 2719.24s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:29> Block 33 of 565 complete - 5.84 % - created peptides 137,790 \n" + "2022-03-27 06:32:10> Block 33 of 565 complete - 5.84 % - created peptides 170,866 - total peptides 4,948,284 \n" ] }, { @@ -16399,14 +16373,14 @@ "text": [ "\n", "\n", - " 6%|███▊ | 0.0584070796460177/1 [03:21<41:44, 2659.72s/it]\u001b[A\u001b[A" + " 6%|███▊ | 0.0584070796460177/1 [03:25<43:16, 2757.40s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:34> Block 34 of 565 complete - 6.02 % - created peptides 154,758 \n" + "2022-03-27 06:32:15> Block 34 of 565 complete - 6.02 % - created peptides 154,300 - total peptides 5,102,584 \n" ] }, { @@ -16415,14 +16389,14 @@ "text": [ "\n", "\n", - " 6%|███▊ | 0.06017699115044248/1 [03:27<43:38, 2785.77s/it]\u001b[A\u001b[A" + " 6%|███▊ | 0.06017699115044248/1 [03:30<45:41, 2917.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:40> Block 35 of 565 complete - 6.19 % - created peptides 175,244 \n" + "2022-03-27 06:32:21> Block 35 of 565 complete - 6.19 % - created peptides 175,244 - total peptides 5,277,828 \n" ] }, { @@ -16431,14 +16405,14 @@ "text": [ "\n", "\n", - " 6%|███▉ | 0.061946902654867256/1 [03:32<45:32, 2913.26s/it]\u001b[A\u001b[A" + " 6%|███▉ | 0.061946902654867256/1 [03:36<47:08, 3015.41s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:45> Block 36 of 565 complete - 6.37 % - created peptides 162,576 \n" + "2022-03-27 06:32:26> Block 36 of 565 complete - 6.37 % - created peptides 140,236 - total peptides 5,418,064 \n" ] }, { @@ -16447,14 +16421,14 @@ "text": [ "\n", "\n", - " 6%|████ | 0.06371681415929203/1 [03:38<47:28, 3042.87s/it]\u001b[A\u001b[A" + " 6%|████ | 0.06371681415929203/1 [03:41<44:23, 2844.39s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:51> Block 37 of 565 complete - 6.55 % - created peptides 163,048 \n" + "2022-03-27 06:32:31> Block 37 of 565 complete - 6.55 % - created peptides 163,048 - total peptides 5,581,112 \n" ] }, { @@ -16463,14 +16437,14 @@ "text": [ "\n", "\n", - " 7%|████▏ | 0.06548672566371681/1 [03:44<48:31, 3116.05s/it]\u001b[A\u001b[A" + " 7%|████▏ | 0.06548672566371681/1 [03:47<48:34, 3119.13s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:30:57> Block 38 of 565 complete - 6.73 % - created peptides 140,236 \n" + "2022-03-27 06:32:37> Block 38 of 565 complete - 6.73 % - created peptides 162,576 - total peptides 5,743,688 \n" ] }, { @@ -16479,14 +16453,14 @@ "text": [ "\n", "\n", - " 7%|████▎ | 0.06725663716814159/1 [03:49<45:18, 2914.12s/it]\u001b[A\u001b[A" + " 7%|████▎ | 0.06725663716814159/1 [03:51<44:17, 2849.17s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:01> Block 39 of 565 complete - 6.90 % - created peptides 213,430 \n" + "2022-03-27 06:32:41> Block 39 of 565 complete - 6.90 % - created peptides 213,430 - total peptides 5,957,118 \n" ] }, { @@ -16495,14 +16469,14 @@ "text": [ "\n", "\n", - " 7%|████▍ | 0.06902654867256637/1 [03:55<47:32, 3063.65s/it]\u001b[A\u001b[A" + " 7%|████▍ | 0.06902654867256637/1 [03:56<44:50, 2890.33s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:07> Block 40 of 565 complete - 7.08 % - created peptides 195,068 \n" + "2022-03-27 06:32:46> Block 40 of 565 complete - 7.08 % - created peptides 191,214 - total peptides 6,148,332 \n" ] }, { @@ -16511,14 +16485,14 @@ "text": [ "\n", "\n", - " 7%|████▌ | 0.07079646017699115/1 [04:00<48:16, 3116.98s/it]\u001b[A\u001b[A" + " 7%|████▌ | 0.07079646017699115/1 [04:02<46:11, 2982.97s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:13> Block 41 of 565 complete - 7.26 % - created peptides 191,214 \n" + "2022-03-27 06:32:52> Block 41 of 565 complete - 7.26 % - created peptides 195,068 - total peptides 6,343,400 \n" ] }, { @@ -16527,14 +16501,14 @@ "text": [ "\n", "\n", - " 7%|████▋ | 0.07256637168141593/1 [04:06<49:39, 3212.83s/it]\u001b[A\u001b[A" + " 7%|████▋ | 0.07256637168141593/1 [04:08<48:21, 3128.94s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:19> Block 42 of 565 complete - 7.43 % - created peptides 204,414 \n" + "2022-03-27 06:32:58> Block 42 of 565 complete - 7.43 % - created peptides 204,414 - total peptides 6,547,814 \n" ] }, { @@ -16543,14 +16517,14 @@ "text": [ "\n", "\n", - " 7%|████▊ | 0.0743362831858407/1 [04:12<50:01, 3242.16s/it]\u001b[A\u001b[A" + " 7%|████▊ | 0.0743362831858407/1 [04:13<45:42, 2963.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:25> Block 43 of 565 complete - 7.61 % - created peptides 187,616 \n" + "2022-03-27 06:33:03> Block 43 of 565 complete - 7.61 % - created peptides 222,436 - total peptides 6,770,250 \n" ] }, { @@ -16559,14 +16533,14 @@ "text": [ "\n", "\n", - " 8%|████▊ | 0.07610619469026549/1 [04:17<47:44, 3100.54s/it]\u001b[A\u001b[A" + " 8%|████▊ | 0.07610619469026549/1 [04:19<46:54, 3046.70s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:30> Block 44 of 565 complete - 7.79 % - created peptides 201,018 \n" + "2022-03-27 06:33:09> Block 44 of 565 complete - 7.79 % - created peptides 201,018 - total peptides 6,971,268 \n" ] }, { @@ -16575,14 +16549,14 @@ "text": [ "\n", "\n", - " 8%|████▉ | 0.07787610619469026/1 [04:23<49:34, 3225.43s/it]\u001b[A\u001b[A" + " 8%|████▉ | 0.07787610619469026/1 [04:25<49:38, 3230.45s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:36> Block 45 of 565 complete - 7.96 % - created peptides 202,470 \n" + "2022-03-27 06:33:15> Block 45 of 565 complete - 7.96 % - created peptides 196,864 - total peptides 7,168,132 \n" ] }, { @@ -16591,14 +16565,14 @@ "text": [ "\n", "\n", - " 8%|█████ | 0.07964601769911504/1 [04:30<51:43, 3372.40s/it]\u001b[A\u001b[A" + " 8%|█████ | 0.07964601769911504/1 [04:31<50:12, 3272.80s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:43> Block 46 of 565 complete - 8.14 % - created peptides 222,436 \n" + "2022-03-27 06:33:21> Block 46 of 565 complete - 8.14 % - created peptides 171,728 - total peptides 7,339,860 \n" ] }, { @@ -16607,14 +16581,14 @@ "text": [ "\n", "\n", - " 8%|█████▏ | 0.08141592920353982/1 [04:36<53:06, 3468.60s/it]\u001b[A\u001b[A" + " 8%|█████▏ | 0.08141592920353982/1 [04:37<50:52, 3322.86s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:49> Block 47 of 565 complete - 8.32 % - created peptides 196,864 \n" + "2022-03-27 06:33:27> Block 47 of 565 complete - 8.32 % - created peptides 187,616 - total peptides 7,527,476 \n" ] }, { @@ -16623,14 +16597,14 @@ "text": [ "\n", "\n", - " 8%|█████▍ | 0.0831858407079646/1 [04:43<53:23, 3494.67s/it]\u001b[A\u001b[A" + " 8%|█████▍ | 0.0831858407079646/1 [04:44<53:19, 3490.26s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:31:56> Block 48 of 565 complete - 8.50 % - created peptides 171,728 \n" + "2022-03-27 06:33:34> Block 48 of 565 complete - 8.50 % - created peptides 202,470 - total peptides 7,729,946 \n" ] }, { @@ -16639,14 +16613,14 @@ "text": [ "\n", "\n", - " 8%|█████▍ | 0.08495575221238938/1 [04:49<54:27, 3570.64s/it]\u001b[A\u001b[A" + " 8%|█████▍ | 0.08495575221238938/1 [04:50<54:06, 3548.32s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:02> Block 49 of 565 complete - 8.67 % - created peptides 141,322 \n" + "2022-03-27 06:33:40> Block 49 of 565 complete - 8.67 % - created peptides 141,322 - total peptides 7,871,268 \n" ] }, { @@ -16655,14 +16629,14 @@ "text": [ "\n", "\n", - " 9%|█████▌ | 0.08672566371681416/1 [04:55<51:27, 3380.84s/it]\u001b[A\u001b[A" + " 9%|█████▌ | 0.08672566371681416/1 [04:55<50:37, 3326.35s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:08> Block 50 of 565 complete - 8.85 % - created peptides 130,982 \n" + "2022-03-27 06:33:45> Block 50 of 565 complete - 8.85 % - created peptides 130,982 - total peptides 8,002,250 \n" ] }, { @@ -16671,14 +16645,14 @@ "text": [ "\n", "\n", - " 9%|█████▋ | 0.08849557522123894/1 [05:01<53:11, 3501.83s/it]\u001b[A\u001b[A" + " 9%|█████▋ | 0.08849557522123894/1 [05:02<51:59, 3422.76s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:14> Block 51 of 565 complete - 9.03 % - created peptides 189,826 \n" + "2022-03-27 06:33:52> Block 51 of 565 complete - 9.03 % - created peptides 133,064 - total peptides 8,135,314 \n" ] }, { @@ -16687,14 +16661,14 @@ "text": [ "\n", "\n", - " 9%|█████▊ | 0.09026548672566372/1 [05:07<50:57, 3360.45s/it]\u001b[A\u001b[A" + " 9%|█████▊ | 0.09026548672566372/1 [05:09<54:14, 3577.17s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:20> Block 52 of 565 complete - 9.20 % - created peptides 133,064 \n" + "2022-03-27 06:33:59> Block 52 of 565 complete - 9.20 % - created peptides 189,826 - total peptides 8,325,140 \n" ] }, { @@ -16703,14 +16677,14 @@ "text": [ "\n", "\n", - " 9%|█████▉ | 0.0920353982300885/1 [05:14<53:20, 3525.10s/it]\u001b[A\u001b[A" + " 9%|█████▉ | 0.0920353982300885/1 [05:14<51:32, 3405.63s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:26> Block 53 of 565 complete - 9.38 % - created peptides 152,268 \n" + "2022-03-27 06:34:04> Block 53 of 565 complete - 9.38 % - created peptides 152,268 - total peptides 8,477,408 \n" ] }, { @@ -16719,14 +16693,14 @@ "text": [ "\n", "\n", - " 9%|██████ | 0.09380530973451327/1 [05:20<54:01, 3576.63s/it]\u001b[A\u001b[A" + " 9%|██████ | 0.09380530973451327/1 [05:21<52:19, 3464.79s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:33> Block 54 of 565 complete - 9.56 % - created peptides 165,186 \n" + "2022-03-27 06:34:11> Block 54 of 565 complete - 9.56 % - created peptides 165,186 - total peptides 8,642,594 \n" ] }, { @@ -16735,14 +16709,14 @@ "text": [ "\n", "\n", - " 10%|██████ | 0.09557522123893805/1 [05:27<54:51, 3638.82s/it]\u001b[A\u001b[A" + " 10%|██████ | 0.09557522123893805/1 [05:27<53:40, 3560.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:40> Block 55 of 565 complete - 9.73 % - created peptides 161,246 \n" + "2022-03-27 06:34:17> Block 55 of 565 complete - 9.73 % - created peptides 143,892 - total peptides 8,786,486 \n" ] }, { @@ -16751,14 +16725,14 @@ "text": [ "\n", "\n", - " 10%|██████▏ | 0.09734513274336283/1 [05:32<51:49, 3444.88s/it]\u001b[A\u001b[A" + " 10%|██████▏ | 0.09734513274336283/1 [05:34<55:00, 3656.34s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:45> Block 56 of 565 complete - 9.91 % - created peptides 143,892 \n" + "2022-03-27 06:34:24> Block 56 of 565 complete - 9.91 % - created peptides 161,246 - total peptides 8,947,732 \n" ] }, { @@ -16767,14 +16741,14 @@ "text": [ "\n", "\n", - " 10%|██████▎ | 0.09911504424778761/1 [05:39<53:42, 3576.69s/it]\u001b[A\u001b[A" + " 10%|██████▎ | 0.09911504424778761/1 [05:39<51:51, 3453.91s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:52> Block 57 of 565 complete - 10.09 % - created peptides 199,296 \n" + "2022-03-27 06:34:29> Block 57 of 565 complete - 10.09 % - created peptides 182,464 - total peptides 9,130,196 \n" ] }, { @@ -16783,14 +16757,14 @@ "text": [ "\n", "\n", - " 10%|██████▍ | 0.10088495575221239/1 [05:46<54:31, 3638.78s/it]\u001b[A\u001b[A" + " 10%|██████▍ | 0.10088495575221239/1 [05:46<53:31, 3571.32s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:32:59> Block 58 of 565 complete - 10.27 % - created peptides 182,464 \n" + "2022-03-27 06:34:36> Block 58 of 565 complete - 10.27 % - created peptides 199,296 - total peptides 9,329,492 \n" ] }, { @@ -16799,14 +16773,14 @@ "text": [ "\n", "\n", - " 10%|██████▌ | 0.10265486725663717/1 [05:53<56:03, 3748.40s/it]\u001b[A\u001b[A" + " 10%|██████▌ | 0.10265486725663717/1 [05:53<55:26, 3706.76s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:33:06> Block 59 of 565 complete - 10.44 % - created peptides 135,004 \n" + "2022-03-27 06:34:43> Block 59 of 565 complete - 10.44 % - created peptides 135,004 - total peptides 9,464,496 \n" ] }, { @@ -16815,14 +16789,14 @@ "text": [ "\n", "\n", - " 10%|██████▋ | 0.10442477876106195/1 [05:58<53:12, 3564.43s/it]\u001b[A\u001b[A" + " 10%|██████▋ | 0.10442477876106195/1 [05:59<52:09, 3494.44s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:33:11> Block 60 of 565 complete - 10.62 % - created peptides 189,334 \n" + "2022-03-27 06:34:49> Block 60 of 565 complete - 10.62 % - created peptides 189,334 - total peptides 9,653,830 \n" ] }, { @@ -16831,14 +16805,14 @@ "text": [ "\n", "\n", - " 11%|██████▊ | 0.10619469026548672/1 [06:06<55:31, 3726.99s/it]\u001b[A\u001b[A" + " 11%|██████▊ | 0.10619469026548672/1 [06:06<54:42, 3672.86s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:33:19> Block 61 of 565 complete - 10.80 % - created peptides 174,664 \n" + "2022-03-27 06:34:56> Block 61 of 565 complete - 10.80 % - created peptides 174,664 - total peptides 9,828,494 \n" ] }, { @@ -16847,14 +16821,14 @@ "text": [ "\n", "\n", - " 11%|███████ | 0.1079646017699115/1 [06:13<57:09, 3844.68s/it]\u001b[A\u001b[A" + " 11%|███████ | 0.1079646017699115/1 [06:14<57:35, 3873.73s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:33:26> Block 62 of 565 complete - 10.97 % - created peptides 156,708 \n" + "2022-03-27 06:35:04> Block 62 of 565 complete - 10.97 % - created peptides 156,708 - total peptides 9,985,202 \n" ] }, { @@ -16863,14 +16837,14 @@ "text": [ "\n", "\n", - " 11%|███████ | 0.10973451327433628/1 [06:19<54:18, 3660.63s/it]\u001b[A\u001b[A" + " 11%|███████ | 0.10973451327433628/1 [06:19<53:39, 3615.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:33:32> Block 63 of 565 complete - 11.15 % - created peptides 160,398 \n" + "2022-03-27 06:35:09> Block 63 of 565 complete - 11.15 % - created peptides 173,966 - total peptides 10,159,168 \n" ] }, { @@ -16879,14 +16853,14 @@ "text": [ "\n", "\n", - " 11%|███████▏ | 0.11150442477876106/1 [06:26<56:36, 3822.74s/it]\u001b[A\u001b[A" + " 11%|███████▏ | 0.11150442477876106/1 [06:26<54:56, 3709.81s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:33:39> Block 64 of 565 complete - 11.33 % - created peptides 173,966 \n" + "2022-03-27 06:35:16> Block 64 of 565 complete - 11.33 % - created peptides 160,398 - total peptides 10,319,566 \n" ] }, { @@ -16895,14 +16869,14 @@ "text": [ "\n", "\n", - " 11%|███████▏ | 0.11327433628318584/1 [06:32<53:40, 3631.95s/it]\u001b[A\u001b[A" + " 11%|███████▏ | 0.11327433628318584/1 [06:33<56:58, 3854.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:33:45> Block 65 of 565 complete - 11.50 % - created peptides 158,858 \n" + "2022-03-27 06:35:23> Block 65 of 565 complete - 11.50 % - created peptides 165,648 - total peptides 10,485,214 \n" ] }, { @@ -16911,14 +16885,14 @@ "text": [ "\n", "\n", - " 12%|███████▎ | 0.11504424778761062/1 [06:39<54:49, 3717.22s/it]\u001b[A\u001b[A" + " 12%|███████▎ | 0.11504424778761062/1 [06:38<52:36, 3566.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:33:52> Block 66 of 565 complete - 11.68 % - created peptides 165,648 \n" + "2022-03-27 06:35:28> Block 66 of 565 complete - 11.68 % - created peptides 158,858 - total peptides 10,644,072 \n" ] }, { @@ -16927,14 +16901,14 @@ "text": [ "\n", "\n", - " 12%|███████▌ | 0.1168141592920354/1 [06:46<57:43, 3921.15s/it]\u001b[A\u001b[A" + " 12%|███████▌ | 0.1168141592920354/1 [06:46<56:24, 3832.20s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:33:59> Block 67 of 565 complete - 11.86 % - created peptides 190,250 \n" + "2022-03-27 06:35:36> Block 67 of 565 complete - 11.86 % - created peptides 190,250 - total peptides 10,834,322 \n" ] }, { @@ -16943,14 +16917,14 @@ "text": [ "\n", "\n", - " 12%|███████▌ | 0.11858407079646018/1 [06:52<54:32, 3712.51s/it]\u001b[A\u001b[A" + " 12%|███████▌ | 0.11858407079646018/1 [06:52<54:01, 3677.57s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:34:05> Block 68 of 565 complete - 12.04 % - created peptides 200,822 \n" + "2022-03-27 06:35:42> Block 68 of 565 complete - 12.04 % - created peptides 215,492 - total peptides 11,049,814 \n" ] }, { @@ -16959,14 +16933,14 @@ "text": [ "\n", "\n", - " 12%|███████▋ | 0.12035398230088495/1 [07:00<56:50, 3877.50s/it]\u001b[A\u001b[A" + " 12%|███████▋ | 0.12035398230088495/1 [07:00<56:19, 3842.28s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:34:13> Block 69 of 565 complete - 12.21 % - created peptides 215,492 \n" + "2022-03-27 06:35:50> Block 69 of 565 complete - 12.21 % - created peptides 200,822 - total peptides 11,250,636 \n" ] }, { @@ -16975,14 +16949,14 @@ "text": [ "\n", "\n", - " 12%|███████▊ | 0.12212389380530973/1 [07:07<59:06, 4039.70s/it]\u001b[A\u001b[A" + " 12%|███████▊ | 0.12212389380530973/1 [07:08<59:42, 4080.31s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:34:20> Block 70 of 565 complete - 12.39 % - created peptides 183,610 \n" + "2022-03-27 06:35:58> Block 70 of 565 complete - 12.39 % - created peptides 183,610 - total peptides 11,434,246 \n" ] }, { @@ -16991,14 +16965,14 @@ "text": [ "\n", "\n", - " 12%|███████▉ | 0.12389380530973451/1 [07:13<55:34, 3805.65s/it]\u001b[A\u001b[A" + " 12%|███████▉ | 0.12389380530973451/1 [07:14<56:02, 3838.08s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:34:26> Block 71 of 565 complete - 12.57 % - created peptides 138,144 \n" + "2022-03-27 06:36:04> Block 71 of 565 complete - 12.57 % - created peptides 138,144 - total peptides 11,572,390 \n" ] }, { @@ -17007,14 +16981,14 @@ "text": [ "\n", "\n", - " 13%|████████▏ | 0.1256637168141593/1 [07:21<57:17, 3932.05s/it]\u001b[A\u001b[A" + " 13%|████████▏ | 0.1256637168141593/1 [07:21<58:31, 4015.91s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:34:34> Block 72 of 565 complete - 12.74 % - created peptides 222,302 \n" + "2022-03-27 06:36:11> Block 72 of 565 complete - 12.74 % - created peptides 143,006 - total peptides 11,715,396 \n" ] }, { @@ -17023,14 +16997,14 @@ "text": [ "\n", "\n", - " 13%|████████▏ | 0.12743362831858407/1 [07:27<54:28, 3745.72s/it]\u001b[A\u001b[A" + " 13%|███████▉ | 0.12743362831858407/1 [07:30<1:01:43, 4244.00s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:34:39> Block 73 of 565 complete - 12.92 % - created peptides 173,962 \n" + "2022-03-27 06:36:20> Block 73 of 565 complete - 12.92 % - created peptides 216,502 - total peptides 11,931,898 \n" ] }, { @@ -17039,14 +17013,14 @@ "text": [ "\n", "\n", - " 13%|████████▎ | 0.12920353982300886/1 [07:34<57:22, 3953.02s/it]\u001b[A\u001b[A" + " 13%|████████▎ | 0.12920353982300886/1 [07:35<56:54, 3921.59s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:34:47> Block 74 of 565 complete - 13.10 % - created peptides 216,502 \n" + "2022-03-27 06:36:26> Block 74 of 565 complete - 13.10 % - created peptides 222,302 - total peptides 12,154,200 \n" ] }, { @@ -17055,14 +17029,14 @@ "text": [ "\n", "\n", - " 13%|████████ | 0.13097345132743363/1 [07:43<1:01:27, 4243.02s/it]\u001b[A\u001b[A" + " 13%|████████ | 0.13097345132743363/1 [07:44<1:00:18, 4163.66s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:34:56> Block 75 of 565 complete - 13.27 % - created peptides 143,006 \n" + "2022-03-27 06:36:34> Block 75 of 565 complete - 13.27 % - created peptides 173,962 - total peptides 12,328,162 \n" ] }, { @@ -17071,14 +17045,14 @@ "text": [ "\n", "\n", - " 13%|████████▍ | 0.13274336283185842/1 [07:49<57:35, 3984.93s/it]\u001b[A\u001b[A" + " 13%|████████▍ | 0.13274336283185842/1 [07:50<56:57, 3940.84s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:35:02> Block 76 of 565 complete - 13.45 % - created peptides 142,022 \n" + "2022-03-27 06:36:40> Block 76 of 565 complete - 13.45 % - created peptides 142,022 - total peptides 12,470,184 \n" ] }, { @@ -17087,14 +17061,14 @@ "text": [ "\n", "\n", - " 13%|████████▎ | 0.13451327433628318/1 [07:58<1:01:38, 4272.99s/it]\u001b[A\u001b[A" + " 13%|████████▌ | 0.13451327433628318/1 [07:58<59:57, 4156.60s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:35:11> Block 77 of 565 complete - 13.63 % - created peptides 184,144 \n" + "2022-03-27 06:36:48> Block 77 of 565 complete - 13.63 % - created peptides 187,876 - total peptides 12,658,060 \n" ] }, { @@ -17103,14 +17077,14 @@ "text": [ "\n", "\n", - " 14%|████████▋ | 0.13628318584070798/1 [08:04<56:50, 3949.04s/it]\u001b[A\u001b[A" + " 14%|████████▋ | 0.13628318584070798/1 [08:04<55:19, 3843.35s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:35:16> Block 78 of 565 complete - 13.81 % - created peptides 140,854 \n" + "2022-03-27 06:36:54> Block 78 of 565 complete - 13.81 % - created peptides 184,144 - total peptides 12,842,204 \n" ] }, { @@ -17119,14 +17093,14 @@ "text": [ "\n", "\n", - " 14%|████████▊ | 0.13805309734513274/1 [08:12<59:43, 4157.17s/it]\u001b[A\u001b[A" + " 14%|████████▊ | 0.13805309734513274/1 [08:12<59:05, 4113.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:35:25> Block 79 of 565 complete - 13.98 % - created peptides 187,876 \n" + "2022-03-27 06:37:02> Block 79 of 565 complete - 13.98 % - created peptides 140,854 - total peptides 12,983,058 \n" ] }, { @@ -17135,14 +17109,14 @@ "text": [ "\n", "\n", - " 14%|████████▉ | 0.13982300884955753/1 [08:17<55:41, 3884.22s/it]\u001b[A\u001b[A" + " 14%|████████▋ | 0.13982300884955753/1 [08:20<1:01:14, 4272.24s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:35:30> Block 80 of 565 complete - 14.16 % - created peptides 168,010 \n" + "2022-03-27 06:37:10> Block 80 of 565 complete - 14.16 % - created peptides 172,948 - total peptides 13,156,006 \n" ] }, { @@ -17151,14 +17125,14 @@ "text": [ "\n", "\n", - " 14%|█████████▏ | 0.1415929203539823/1 [08:25<57:36, 4026.77s/it]\u001b[A\u001b[A" + " 14%|█████████▏ | 0.1415929203539823/1 [08:26<57:01, 3985.36s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:35:38> Block 81 of 565 complete - 14.34 % - created peptides 172,948 \n" + "2022-03-27 06:37:16> Block 81 of 565 complete - 14.34 % - created peptides 161,898 - total peptides 13,317,904 \n" ] }, { @@ -17167,14 +17141,14 @@ "text": [ "\n", "\n", - " 14%|█████████▎ | 0.1433628318584071/1 [08:31<53:37, 3755.49s/it]\u001b[A\u001b[A" + " 14%|█████████▎ | 0.1433628318584071/1 [08:32<54:46, 3836.30s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:35:44> Block 82 of 565 complete - 14.51 % - created peptides 161,898 \n" + "2022-03-27 06:37:22> Block 82 of 565 complete - 14.51 % - created peptides 168,010 - total peptides 13,485,914 \n" ] }, { @@ -17183,14 +17157,14 @@ "text": [ "\n", "\n", - " 15%|█████████▎ | 0.14513274336283186/1 [08:39<57:29, 4034.55s/it]\u001b[A\u001b[A" + " 15%|█████████▎ | 0.14513274336283186/1 [08:40<57:44, 4052.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:35:52> Block 83 of 565 complete - 14.69 % - created peptides 133,276 \n" + "2022-03-27 06:37:30> Block 83 of 565 complete - 14.69 % - created peptides 133,276 - total peptides 13,619,190 \n" ] }, { @@ -17199,14 +17173,14 @@ "text": [ "\n", "\n", - " 15%|█████████▍ | 0.14690265486725665/1 [08:45<55:20, 3892.69s/it]\u001b[A\u001b[A" + " 15%|█████████ | 0.14690265486725665/1 [08:49<1:01:02, 4293.13s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:35:58> Block 84 of 565 complete - 14.87 % - created peptides 188,838 \n" + "2022-03-27 06:37:39> Block 84 of 565 complete - 14.87 % - created peptides 188,838 - total peptides 13,808,028 \n" ] }, { @@ -17215,14 +17189,14 @@ "text": [ "\n", "\n", - " 15%|█████████▋ | 0.1486725663716814/1 [08:54<58:28, 4121.29s/it]\u001b[A\u001b[A" + " 15%|█████████▋ | 0.1486725663716814/1 [08:55<56:55, 4011.71s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:36:06> Block 85 of 565 complete - 15.04 % - created peptides 182,962 \n" + "2022-03-27 06:37:45> Block 85 of 565 complete - 15.04 % - created peptides 188,166 - total peptides 13,996,194 \n" ] }, { @@ -17231,14 +17205,14 @@ "text": [ "\n", "\n", - " 15%|█████████▊ | 0.1504424778761062/1 [09:00<55:58, 3953.68s/it]\u001b[A\u001b[A" + " 15%|█████████▊ | 0.1504424778761062/1 [09:01<54:19, 3836.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:36:13> Block 86 of 565 complete - 15.22 % - created peptides 171,836 \n" + "2022-03-27 06:37:51> Block 86 of 565 complete - 15.22 % - created peptides 171,836 - total peptides 14,168,030 \n" ] }, { @@ -17247,14 +17221,14 @@ "text": [ "\n", "\n", - " 15%|█████████▍ | 0.15221238938053097/1 [09:09<1:01:02, 4319.49s/it]\u001b[A\u001b[A" + " 15%|█████████▋ | 0.15221238938053097/1 [09:10<58:34, 4145.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:36:22> Block 87 of 565 complete - 15.40 % - created peptides 188,166 \n" + "2022-03-27 06:38:00> Block 87 of 565 complete - 15.40 % - created peptides 182,962 - total peptides 14,350,992 \n" ] }, { @@ -17263,14 +17237,14 @@ "text": [ "\n", "\n", - " 15%|█████████▌ | 0.15398230088495576/1 [09:18<1:03:26, 4499.03s/it]\u001b[A\u001b[A" + " 15%|█████████▌ | 0.15398230088495576/1 [09:18<1:01:34, 4366.59s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:36:31> Block 88 of 565 complete - 15.58 % - created peptides 206,480 \n" + "2022-03-27 06:38:08> Block 88 of 565 complete - 15.58 % - created peptides 206,480 - total peptides 14,557,472 \n" ] }, { @@ -17279,14 +17253,14 @@ "text": [ "\n", "\n", - " 16%|█████████▉ | 0.15575221238938053/1 [09:24<59:56, 4260.10s/it]\u001b[A\u001b[A" + " 16%|█████████▉ | 0.15575221238938053/1 [09:25<58:13, 4138.19s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:36:37> Block 89 of 565 complete - 15.75 % - created peptides 172,096 \n" + "2022-03-27 06:38:15> Block 89 of 565 complete - 15.75 % - created peptides 172,096 - total peptides 14,729,568 \n" ] }, { @@ -17295,14 +17269,14 @@ "text": [ "\n", "\n", - " 16%|█████████▊ | 0.15752212389380532/1 [09:33<1:03:33, 4526.18s/it]\u001b[A\u001b[A" + " 16%|█████████▊ | 0.15752212389380532/1 [09:33<1:01:02, 4347.32s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:36:46> Block 90 of 565 complete - 15.93 % - created peptides 189,902 \n" + "2022-03-27 06:38:23> Block 90 of 565 complete - 15.93 % - created peptides 181,910 - total peptides 14,911,478 \n" ] }, { @@ -17311,14 +17285,14 @@ "text": [ "\n", "\n", - " 16%|██████████▎ | 0.1592920353982301/1 [09:39<57:45, 4122.25s/it]\u001b[A\u001b[A" + " 16%|██████████▎ | 0.1592920353982301/1 [09:39<57:38, 4113.63s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:36:52> Block 91 of 565 complete - 16.11 % - created peptides 181,910 \n" + "2022-03-27 06:38:30> Block 91 of 565 complete - 16.11 % - created peptides 189,902 - total peptides 15,101,380 \n" ] }, { @@ -17327,14 +17301,14 @@ "text": [ "\n", "\n", - " 16%|██████████▎ | 0.16106194690265488/1 [09:46<56:14, 4022.25s/it]\u001b[A\u001b[A" + " 16%|██████████▎ | 0.16106194690265488/1 [09:46<54:43, 3913.93s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:36:59> Block 92 of 565 complete - 16.28 % - created peptides 151,952 \n" + "2022-03-27 06:38:36> Block 92 of 565 complete - 16.28 % - created peptides 151,952 - total peptides 15,253,332 \n" ] }, { @@ -17343,14 +17317,14 @@ "text": [ "\n", "\n", - " 16%|██████████▍ | 0.16283185840707964/1 [09:54<58:46, 4211.93s/it]\u001b[A\u001b[A" + " 16%|██████████▍ | 0.16283185840707964/1 [09:54<58:24, 4186.30s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:37:07> Block 93 of 565 complete - 16.46 % - created peptides 180,032 \n" + "2022-03-27 06:38:44> Block 93 of 565 complete - 16.46 % - created peptides 180,032 - total peptides 15,433,364 \n" ] }, { @@ -17359,14 +17333,14 @@ "text": [ "\n", "\n", - " 16%|██████████▌ | 0.16460176991150444/1 [10:01<56:41, 4071.93s/it]\u001b[A\u001b[A" + " 16%|██████████▌ | 0.16460176991150444/1 [10:01<56:25, 4052.39s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:37:14> Block 94 of 565 complete - 16.64 % - created peptides 218,424 \n" + "2022-03-27 06:38:51> Block 94 of 565 complete - 16.64 % - created peptides 218,424 - total peptides 15,651,788 \n" ] }, { @@ -17375,14 +17349,14 @@ "text": [ "\n", "\n", - " 17%|██████████▊ | 0.1663716814159292/1 [10:09<58:56, 4242.85s/it]\u001b[A\u001b[A" + " 17%|██████████▍ | 0.1663716814159292/1 [10:10<1:00:58, 4388.99s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:37:22> Block 95 of 565 complete - 16.81 % - created peptides 168,326 \n" + "2022-03-27 06:39:00> Block 95 of 565 complete - 16.81 % - created peptides 168,326 - total peptides 15,820,114 \n" ] }, { @@ -17391,14 +17365,14 @@ "text": [ "\n", "\n", - " 17%|███████████ | 0.168141592920354/1 [10:15<55:37, 4011.82s/it]\u001b[A\u001b[A" + " 17%|███████████ | 0.168141592920354/1 [10:16<56:50, 4099.57s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:37:28> Block 96 of 565 complete - 16.99 % - created peptides 141,060 \n" + "2022-03-27 06:39:06> Block 96 of 565 complete - 16.99 % - created peptides 141,060 - total peptides 15,961,174 \n" ] }, { @@ -17407,14 +17381,14 @@ "text": [ "\n", "\n", - " 17%|██████████▌ | 0.16991150442477876/1 [10:24<1:00:48, 4395.31s/it]\u001b[A\u001b[A" + " 17%|██████████▌ | 0.16991150442477876/1 [10:25<1:01:23, 4437.51s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:37:37> Block 97 of 565 complete - 17.17 % - created peptides 140,828 \n" + "2022-03-27 06:39:15> Block 97 of 565 complete - 17.17 % - created peptides 140,828 - total peptides 16,102,002 \n" ] }, { @@ -17423,14 +17397,14 @@ "text": [ "\n", "\n", - " 17%|██████████▉ | 0.17168141592920355/1 [10:30<56:29, 4092.21s/it]\u001b[A\u001b[A" + " 17%|██████████▉ | 0.17168141592920355/1 [10:32<59:27, 4307.02s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:37:43> Block 98 of 565 complete - 17.35 % - created peptides 176,630 \n" + "2022-03-27 06:39:22> Block 98 of 565 complete - 17.35 % - created peptides 176,630 - total peptides 16,278,632 \n" ] }, { @@ -17439,14 +17413,14 @@ "text": [ "\n", "\n", - " 17%|██████████▊ | 0.17345132743362832/1 [10:39<1:00:44, 4408.95s/it]\u001b[A\u001b[A" + " 17%|██████████▊ | 0.17345132743362832/1 [10:41<1:02:25, 4531.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:37:52> Block 99 of 565 complete - 17.52 % - created peptides 177,552 \n" + "2022-03-27 06:39:31> Block 99 of 565 complete - 17.52 % - created peptides 135,948 - total peptides 16,414,580 \n" ] }, { @@ -17455,14 +17429,14 @@ "text": [ "\n", "\n", - " 18%|███████████▍ | 0.1752212389380531/1 [10:45<56:08, 4084.70s/it]\u001b[A\u001b[A" + " 18%|███████████▍ | 0.1752212389380531/1 [10:47<58:01, 4221.58s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:37:58> Block 100 of 565 complete - 17.70 % - created peptides 135,948 \n" + "2022-03-27 06:39:37> Block 100 of 565 complete - 17.70 % - created peptides 177,552 - total peptides 16,592,132 \n" ] }, { @@ -17471,14 +17445,14 @@ "text": [ "\n", "\n", - " 18%|██████████▉ | 0.17699115044247787/1 [10:55<1:01:07, 4456.09s/it]\u001b[A\u001b[A" + " 18%|██████████▉ | 0.17699115044247787/1 [10:57<1:03:04, 4598.05s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:38:08> Block 101 of 565 complete - 17.88 % - created peptides 152,714 \n" + "2022-03-27 06:39:47> Block 101 of 565 complete - 17.88 % - created peptides 152,714 - total peptides 16,744,846 \n" ] }, { @@ -17487,14 +17461,14 @@ "text": [ "\n", "\n", - " 18%|███████████▍ | 0.17876106194690267/1 [11:01<57:43, 4216.98s/it]\u001b[A\u001b[A" + " 18%|███████████▍ | 0.17876106194690267/1 [11:03<57:56, 4233.30s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:38:14> Block 102 of 565 complete - 18.05 % - created peptides 138,972 \n" + "2022-03-27 06:39:53> Block 102 of 565 complete - 18.05 % - created peptides 138,972 - total peptides 16,883,818 \n" ] }, { @@ -17503,14 +17477,14 @@ "text": [ "\n", "\n", - " 18%|███████████▌ | 0.18053097345132743/1 [11:08<55:20, 4052.48s/it]\u001b[A\u001b[A" + " 18%|███████████▏ | 0.18053097345132743/1 [11:12<1:01:42, 4518.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:38:21> Block 103 of 565 complete - 18.23 % - created peptides 189,776 \n" + "2022-03-27 06:40:02> Block 103 of 565 complete - 18.23 % - created peptides 189,776 - total peptides 17,073,594 \n" ] }, { @@ -17519,14 +17493,14 @@ "text": [ "\n", "\n", - " 18%|███████████▋ | 0.18230088495575222/1 [11:17<59:58, 4401.36s/it]\u001b[A\u001b[A" + " 18%|███████████▋ | 0.18230088495575222/1 [11:19<58:36, 4300.15s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:38:30> Block 104 of 565 complete - 18.41 % - created peptides 178,660 \n" + "2022-03-27 06:40:09> Block 104 of 565 complete - 18.41 % - created peptides 178,660 - total peptides 17,252,254 \n" ] }, { @@ -17535,14 +17509,14 @@ "text": [ "\n", "\n", - " 18%|████████████▏ | 0.184070796460177/1 [11:24<57:42, 4244.03s/it]\u001b[A\u001b[A" + " 18%|████████████▏ | 0.184070796460177/1 [11:26<56:05, 4125.17s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:38:37> Block 105 of 565 complete - 18.58 % - created peptides 164,136 \n" + "2022-03-27 06:40:16> Block 105 of 565 complete - 18.58 % - created peptides 164,136 - total peptides 17,416,390 \n" ] }, { @@ -17551,14 +17525,14 @@ "text": [ "\n", "\n", - " 19%|███████████▌ | 0.18584070796460178/1 [11:33<1:01:48, 4554.72s/it]\u001b[A\u001b[A" + " 19%|███████████▉ | 0.18584070796460178/1 [11:34<59:30, 4384.97s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:38:46> Block 106 of 565 complete - 18.76 % - created peptides 147,870 \n" + "2022-03-27 06:40:24> Block 106 of 565 complete - 18.76 % - created peptides 147,870 - total peptides 17,564,260 \n" ] }, { @@ -17567,14 +17541,14 @@ "text": [ "\n", "\n", - " 19%|████████████ | 0.18761061946902655/1 [11:39<56:37, 4181.74s/it]\u001b[A\u001b[A" + " 19%|████████████ | 0.18761061946902655/1 [11:41<55:35, 4105.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:38:52> Block 107 of 565 complete - 18.94 % - created peptides 171,656 \n" + "2022-03-27 06:40:31> Block 107 of 565 complete - 18.94 % - created peptides 171,656 - total peptides 17,735,916 \n" ] }, { @@ -17583,14 +17557,14 @@ "text": [ "\n", "\n", - " 19%|███████████▋ | 0.18938053097345134/1 [11:49<1:01:35, 4559.40s/it]\u001b[A\u001b[A" + " 19%|███████████▋ | 0.18938053097345134/1 [11:51<1:01:52, 4580.04s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:39:02> Block 108 of 565 complete - 19.12 % - created peptides 148,240 \n" + "2022-03-27 06:40:41> Block 108 of 565 complete - 19.12 % - created peptides 148,240 - total peptides 17,884,156 \n" ] }, { @@ -17599,14 +17573,14 @@ "text": [ "\n", "\n", - " 19%|████████████▍ | 0.1911504424778761/1 [11:55<58:03, 4306.12s/it]\u001b[A\u001b[A" + " 19%|████████████▍ | 0.1911504424778761/1 [11:58<59:49, 4437.67s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:39:08> Block 109 of 565 complete - 19.29 % - created peptides 150,876 \n" + "2022-03-27 06:40:48> Block 109 of 565 complete - 19.29 % - created peptides 150,876 - total peptides 18,035,032 \n" ] }, { @@ -17615,14 +17589,14 @@ "text": [ "\n", "\n", - " 19%|████████████▌ | 0.1929203539823009/1 [12:02<55:03, 4092.92s/it]\u001b[A\u001b[A" + " 19%|████████████▏ | 0.1929203539823009/1 [12:07<1:03:40, 4733.79s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:39:15> Block 110 of 565 complete - 19.47 % - created peptides 146,788 \n" + "2022-03-27 06:40:58> Block 110 of 565 complete - 19.47 % - created peptides 139,898 - total peptides 18,174,930 \n" ] }, { @@ -17631,14 +17605,14 @@ "text": [ "\n", "\n", - " 19%|████████████ | 0.19469026548672566/1 [12:11<1:00:49, 4531.47s/it]\u001b[A\u001b[A" + " 19%|████████████▍ | 0.19469026548672566/1 [12:14<58:47, 4380.41s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:39:24> Block 111 of 565 complete - 19.65 % - created peptides 139,898 \n" + "2022-03-27 06:41:04> Block 111 of 565 complete - 19.65 % - created peptides 146,788 - total peptides 18,321,718 \n" ] }, { @@ -17647,14 +17621,14 @@ "text": [ "\n", "\n", - " 20%|████████████▌ | 0.19646017699115045/1 [12:18<56:33, 4222.82s/it]\u001b[A\u001b[A" + " 20%|████████████▌ | 0.19646017699115045/1 [12:20<55:29, 4144.02s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:39:31> Block 112 of 565 complete - 19.82 % - created peptides 160,086 \n" + "2022-03-27 06:41:10> Block 112 of 565 complete - 19.82 % - created peptides 160,086 - total peptides 18,481,804 \n" ] }, { @@ -17663,14 +17637,14 @@ "text": [ "\n", "\n", - " 20%|████████████▎ | 0.19823008849557522/1 [12:27<1:01:11, 4579.75s/it]\u001b[A\u001b[A" + " 20%|████████████▋ | 0.19823008849557522/1 [12:29<59:57, 4487.00s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:39:40> Block 113 of 565 complete - 20.00 % - created peptides 147,692 \n" + "2022-03-27 06:41:20> Block 113 of 565 complete - 20.00 % - created peptides 147,692 - total peptides 18,629,496 \n" ] }, { @@ -17679,14 +17653,14 @@ "text": [ "\n", "\n", - " 20%|████████████████ | 0.2/1 [12:34<58:40, 4400.28s/it]\u001b[A\u001b[A" + " 20%|████████████████ | 0.2/1 [12:37<58:00, 4350.26s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:39:47> Block 114 of 565 complete - 20.18 % - created peptides 142,926 \n" + "2022-03-27 06:41:27> Block 114 of 565 complete - 20.18 % - created peptides 142,926 - total peptides 18,772,422 \n" ] }, { @@ -17695,14 +17669,14 @@ "text": [ "\n", "\n", - " 20%|████████████▉ | 0.20176991150442478/1 [12:41<56:29, 4246.08s/it]\u001b[A\u001b[A" + " 20%|████████████▉ | 0.20176991150442478/1 [12:43<54:28, 4094.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:39:54> Block 115 of 565 complete - 20.35 % - created peptides 199,310 \n" + "2022-03-27 06:41:33> Block 115 of 565 complete - 20.35 % - created peptides 199,310 - total peptides 18,971,732 \n" ] }, { @@ -17711,14 +17685,14 @@ "text": [ "\n", "\n", - " 20%|████████████▌ | 0.20353982300884957/1 [12:51<1:01:41, 4647.97s/it]\u001b[A\u001b[A" + " 20%|████████████▌ | 0.20353982300884957/1 [12:53<1:01:35, 4640.43s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:40:04> Block 116 of 565 complete - 20.53 % - created peptides 138,430 \n" + "2022-03-27 06:41:43> Block 116 of 565 complete - 20.53 % - created peptides 170,276 - total peptides 19,142,008 \n" ] }, { @@ -17727,14 +17701,14 @@ "text": [ "\n", "\n", - " 21%|█████████████▏ | 0.20530973451327433/1 [12:57<56:55, 4297.67s/it]\u001b[A\u001b[A" + " 21%|█████████████▏ | 0.20530973451327433/1 [12:59<57:00, 4303.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:40:10> Block 117 of 565 complete - 20.71 % - created peptides 170,276 \n" + "2022-03-27 06:41:50> Block 117 of 565 complete - 20.71 % - created peptides 138,430 - total peptides 19,280,438 \n" ] }, { @@ -17743,14 +17717,14 @@ "text": [ "\n", "\n", - " 21%|█████████████▎ | 0.20707964601769913/1 [13:04<54:55, 4156.37s/it]\u001b[A\u001b[A" + " 21%|████████████▊ | 0.20707964601769913/1 [13:10<1:02:29, 4728.47s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:40:17> Block 118 of 565 complete - 20.88 % - created peptides 145,702 \n" + "2022-03-27 06:42:00> Block 118 of 565 complete - 20.88 % - created peptides 211,128 - total peptides 19,491,566 \n" ] }, { @@ -17759,14 +17733,14 @@ "text": [ "\n", "\n", - " 21%|█████████████▌ | 0.2088495575221239/1 [13:13<59:41, 4527.40s/it]\u001b[A\u001b[A" + " 21%|█████████████▌ | 0.2088495575221239/1 [13:16<58:19, 4423.55s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:40:26> Block 119 of 565 complete - 21.06 % - created peptides 150,574 \n" + "2022-03-27 06:42:06> Block 119 of 565 complete - 21.06 % - created peptides 145,702 - total peptides 19,637,268 \n" ] }, { @@ -17775,14 +17749,14 @@ "text": [ "\n", "\n", - " 21%|█████████████▍ | 0.21061946902654868/1 [13:21<57:34, 4376.47s/it]\u001b[A\u001b[A" + " 21%|█████████████▍ | 0.21061946902654868/1 [13:23<55:35, 4225.04s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:40:34> Block 120 of 565 complete - 21.24 % - created peptides 211,128 \n" + "2022-03-27 06:42:13> Block 120 of 565 complete - 21.24 % - created peptides 150,574 - total peptides 19,787,842 \n" ] }, { @@ -17791,14 +17765,14 @@ "text": [ "\n", "\n", - " 21%|█████████████▏ | 0.21238938053097345/1 [13:31<1:03:05, 4806.81s/it]\u001b[A\u001b[A" + " 21%|█████████████▏ | 0.21238938053097345/1 [13:33<1:01:34, 4690.55s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:40:44> Block 121 of 565 complete - 21.42 % - created peptides 110,270 \n" + "2022-03-27 06:42:23> Block 121 of 565 complete - 21.42 % - created peptides 213,894 - total peptides 20,001,736 \n" ] }, { @@ -17807,14 +17781,14 @@ "text": [ "\n", "\n", - " 21%|█████████████▋ | 0.21415929203539824/1 [13:38<59:12, 4520.37s/it]\u001b[A\u001b[A" + " 21%|█████████████▋ | 0.21415929203539824/1 [13:40<57:21, 4378.93s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:40:51> Block 122 of 565 complete - 21.59 % - created peptides 229,916 \n" + "2022-03-27 06:42:30> Block 122 of 565 complete - 21.59 % - created peptides 110,270 - total peptides 20,112,006 \n" ] }, { @@ -17823,14 +17797,14 @@ "text": [ "\n", "\n", - " 22%|██████████████▎ | 0.215929203539823/1 [13:45<56:53, 4353.93s/it]\u001b[A\u001b[A" + " 22%|██████████████▎ | 0.215929203539823/1 [13:46<54:36, 4179.10s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:40:58> Block 123 of 565 complete - 21.77 % - created peptides 213,894 \n" + "2022-03-27 06:42:36> Block 123 of 565 complete - 21.77 % - created peptides 229,916 - total peptides 20,341,922 \n" ] }, { @@ -17839,14 +17813,14 @@ "text": [ "\n", "\n", - " 22%|█████████████▋ | 0.2176991150442478/1 [13:55<1:01:23, 4709.07s/it]\u001b[A\u001b[A" + " 22%|█████████████▋ | 0.2176991150442478/1 [13:57<1:01:53, 4747.40s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:41:07> Block 124 of 565 complete - 21.95 % - created peptides 202,146 \n" + "2022-03-27 06:42:47> Block 124 of 565 complete - 21.95 % - created peptides 202,146 - total peptides 20,544,068 \n" ] }, { @@ -17855,14 +17829,14 @@ "text": [ "\n", "\n", - " 22%|██████████████ | 0.21946902654867256/1 [14:01<57:21, 4409.19s/it]\u001b[A\u001b[A" + " 22%|██████████████ | 0.21946902654867256/1 [14:04<57:59, 4457.50s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:41:14> Block 125 of 565 complete - 22.12 % - created peptides 166,116 \n" + "2022-03-27 06:42:54> Block 125 of 565 complete - 22.12 % - created peptides 184,132 - total peptides 20,728,200 \n" ] }, { @@ -17871,14 +17845,14 @@ "text": [ "\n", "\n", - " 22%|██████████████▏ | 0.22123893805309736/1 [14:08<54:40, 4211.99s/it]\u001b[A\u001b[A" + " 22%|█████████████▋ | 0.22123893805309736/1 [14:14<1:03:29, 4892.05s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:41:21> Block 126 of 565 complete - 22.30 % - created peptides 184,132 \n" + "2022-03-27 06:43:04> Block 126 of 565 complete - 22.30 % - created peptides 166,116 - total peptides 20,894,316 \n" ] }, { @@ -17887,14 +17861,14 @@ "text": [ "\n", "\n", - " 22%|██████████████▎ | 0.22300884955752212/1 [14:18<59:59, 4632.87s/it]\u001b[A\u001b[A" + " 22%|██████████████▎ | 0.22300884955752212/1 [14:21<59:16, 4577.25s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:41:31> Block 127 of 565 complete - 22.48 % - created peptides 179,964 \n" + "2022-03-27 06:43:11> Block 127 of 565 complete - 22.48 % - created peptides 179,964 - total peptides 21,074,280 \n" ] }, { @@ -17903,14 +17877,14 @@ "text": [ "\n", "\n", - " 22%|██████████████▌ | 0.2247787610619469/1 [14:25<57:10, 4424.96s/it]\u001b[A\u001b[A" + " 22%|██████████████▌ | 0.2247787610619469/1 [14:28<56:25, 4367.76s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:41:38> Block 128 of 565 complete - 22.65 % - created peptides 150,452 \n" + "2022-03-27 06:43:18> Block 128 of 565 complete - 22.65 % - created peptides 150,452 - total peptides 21,224,732 \n" ] }, { @@ -17919,14 +17893,14 @@ "text": [ "\n", "\n", - " 23%|██████████████▍ | 0.22654867256637168/1 [14:31<54:17, 4212.13s/it]\u001b[A\u001b[A" + " 23%|██████████████▍ | 0.22654867256637168/1 [14:38<55:10, 4280.75s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:41:44> Block 129 of 565 complete - 22.83 % - created peptides 171,646 \n" + "2022-03-27 06:43:28> Block 129 of 565 complete - 22.83 % - created peptides 171,646 - total peptides 21,396,378 \n" ] }, { @@ -17935,14 +17909,14 @@ "text": [ "\n", "\n", - " 23%|██████████████▏ | 0.22831858407079647/1 [14:42<1:00:48, 4728.51s/it]\u001b[A\u001b[A" + " 23%|██████████████▏ | 0.22831858407079647/1 [14:45<1:01:02, 4746.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:41:55> Block 130 of 565 complete - 23.01 % - created peptides 180,832 \n" + "2022-03-27 06:43:35> Block 130 of 565 complete - 23.01 % - created peptides 180,832 - total peptides 21,577,210 \n" ] }, { @@ -17951,14 +17925,14 @@ "text": [ "\n", "\n", - " 23%|██████████████▋ | 0.23008849557522124/1 [14:49<57:29, 4479.93s/it]\u001b[A\u001b[A" + " 23%|██████████████▋ | 0.23008849557522124/1 [14:52<57:48, 4505.07s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:42:02> Block 131 of 565 complete - 23.19 % - created peptides 158,074 \n" + "2022-03-27 06:43:42> Block 131 of 565 complete - 23.19 % - created peptides 141,072 - total peptides 21,718,282 \n" ] }, { @@ -17967,14 +17941,14 @@ "text": [ "\n", "\n", - " 23%|██████████████▍ | 0.23185840707964603/1 [14:59<1:01:51, 4831.62s/it]\u001b[A\u001b[A" + " 23%|██████████████▍ | 0.23185840707964603/1 [15:02<1:02:27, 4878.09s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:42:12> Block 132 of 565 complete - 23.36 % - created peptides 141,072 \n" + "2022-03-27 06:43:52> Block 132 of 565 complete - 23.36 % - created peptides 158,074 - total peptides 21,876,356 \n" ] }, { @@ -17983,14 +17957,14 @@ "text": [ "\n", "\n", - " 23%|███████████████▏ | 0.2336283185840708/1 [15:06<58:49, 4604.91s/it]\u001b[A\u001b[A" + " 23%|███████████████▏ | 0.2336283185840708/1 [15:10<59:28, 4656.03s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:42:19> Block 133 of 565 complete - 23.54 % - created peptides 173,392 \n" + "2022-03-27 06:44:00> Block 133 of 565 complete - 23.54 % - created peptides 173,392 - total peptides 22,049,748 \n" ] }, { @@ -17999,14 +17973,14 @@ "text": [ "\n", "\n", - " 24%|███████████████ | 0.23539823008849559/1 [15:12<54:59, 4315.49s/it]\u001b[A\u001b[A" + " 24%|███████████████ | 0.23539823008849559/1 [15:17<56:19, 4419.94s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:42:25> Block 134 of 565 complete - 23.72 % - created peptides 166,492 \n" + "2022-03-27 06:44:07> Block 134 of 565 complete - 23.72 % - created peptides 142,106 - total peptides 22,191,854 \n" ] }, { @@ -18015,14 +17989,14 @@ "text": [ "\n", "\n", - " 24%|███████████████▏ | 0.23716814159292035/1 [15:19<52:02, 4092.80s/it]\u001b[A\u001b[A" + " 24%|██████████████▋ | 0.23716814159292035/1 [15:27<1:02:17, 4899.45s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:42:32> Block 135 of 565 complete - 23.89 % - created peptides 142,106 \n" + "2022-03-27 06:44:17> Block 135 of 565 complete - 23.89 % - created peptides 166,492 - total peptides 22,358,346 \n" ] }, { @@ -18031,14 +18005,14 @@ "text": [ "\n", "\n", - " 24%|███████████████▎ | 0.23893805309734514/1 [15:29<59:36, 4699.80s/it]\u001b[A\u001b[A" + " 24%|███████████████▎ | 0.23893805309734514/1 [15:35<59:33, 4695.26s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:42:42> Block 136 of 565 complete - 24.07 % - created peptides 135,416 \n" + "2022-03-27 06:44:25> Block 136 of 565 complete - 24.07 % - created peptides 130,444 - total peptides 22,488,790 \n" ] }, { @@ -18047,14 +18021,14 @@ "text": [ "\n", "\n", - " 24%|███████████████▋ | 0.2407079646017699/1 [15:36<56:23, 4456.25s/it]\u001b[A\u001b[A" + " 24%|███████████████▋ | 0.2407079646017699/1 [15:41<56:12, 4441.62s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:42:49> Block 137 of 565 complete - 24.25 % - created peptides 130,444 \n" + "2022-03-27 06:44:32> Block 137 of 565 complete - 24.25 % - created peptides 135,416 - total peptides 22,624,206 \n" ] }, { @@ -18063,14 +18037,14 @@ "text": [ "\n", "\n", - " 24%|███████████████▎ | 0.2424778761061947/1 [15:47<1:02:37, 4960.59s/it]\u001b[A\u001b[A" + " 24%|███████████████▎ | 0.2424778761061947/1 [15:53<1:04:02, 5071.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:43:00> Block 138 of 565 complete - 24.42 % - created peptides 177,656 \n" + "2022-03-27 06:44:43> Block 138 of 565 complete - 24.42 % - created peptides 181,378 - total peptides 22,805,584 \n" ] }, { @@ -18079,14 +18053,14 @@ "text": [ "\n", "\n", - " 24%|███████████████▋ | 0.24424778761061947/1 [15:53<57:05, 4532.49s/it]\u001b[A\u001b[A" + " 24%|███████████████▋ | 0.24424778761061947/1 [15:59<58:16, 4626.41s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:43:06> Block 139 of 565 complete - 24.60 % - created peptides 181,378 \n" + "2022-03-27 06:44:49> Block 139 of 565 complete - 24.60 % - created peptides 177,656 - total peptides 22,983,240 \n" ] }, { @@ -18095,14 +18069,14 @@ "text": [ "\n", "\n", - " 25%|███████████████▋ | 0.24601769911504426/1 [16:01<55:05, 4384.00s/it]\u001b[A\u001b[A" + " 25%|███████████████▋ | 0.24601769911504426/1 [16:07<56:34, 4502.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:43:14> Block 140 of 565 complete - 24.78 % - created peptides 199,388 \n" + "2022-03-27 06:44:57> Block 140 of 565 complete - 24.78 % - created peptides 199,388 - total peptides 23,182,628 \n" ] }, { @@ -18111,14 +18085,14 @@ "text": [ "\n", "\n", - " 25%|███████████████▊ | 0.24778761061946902/1 [16:07<52:39, 4200.52s/it]\u001b[A\u001b[A" + " 25%|███████████████▊ | 0.24778761061946902/1 [16:14<54:12, 4324.29s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:43:20> Block 141 of 565 complete - 24.96 % - created peptides 134,494 \n" + "2022-03-27 06:45:04> Block 141 of 565 complete - 24.96 % - created peptides 134,494 - total peptides 23,317,122 \n" ] }, { @@ -18127,14 +18101,14 @@ "text": [ "\n", "\n", - " 25%|███████████████▍ | 0.24955752212389382/1 [16:18<1:00:08, 4808.89s/it]\u001b[A\u001b[A" + " 25%|███████████████▍ | 0.24955752212389382/1 [16:25<1:01:40, 4931.34s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:43:31> Block 142 of 565 complete - 25.13 % - created peptides 135,786 \n" + "2022-03-27 06:45:15> Block 142 of 565 complete - 25.13 % - created peptides 135,786 - total peptides 23,452,908 \n" ] }, { @@ -18143,14 +18117,14 @@ "text": [ "\n", "\n", - " 25%|████████████████▎ | 0.2513274336283186/1 [16:25<56:17, 4511.85s/it]\u001b[A\u001b[A" + " 25%|████████████████▎ | 0.2513274336283186/1 [16:32<58:03, 4652.85s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:43:38> Block 143 of 565 complete - 25.31 % - created peptides 155,574 \n" + "2022-03-27 06:45:22> Block 143 of 565 complete - 25.31 % - created peptides 155,574 - total peptides 23,608,482 \n" ] }, { @@ -18159,14 +18133,14 @@ "text": [ "\n", "\n", - " 25%|████████████████▏ | 0.25309734513274335/1 [16:32<54:33, 4382.65s/it]\u001b[A\u001b[A" + " 25%|████████████████▏ | 0.25309734513274335/1 [16:39<55:10, 4432.28s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:43:45> Block 144 of 565 complete - 25.49 % - created peptides 205,200 \n" + "2022-03-27 06:45:29> Block 144 of 565 complete - 25.49 % - created peptides 205,200 - total peptides 23,813,682 \n" ] }, { @@ -18175,14 +18149,14 @@ "text": [ "\n", "\n", - " 25%|███████████████▊ | 0.25486725663716814/1 [16:43<1:01:08, 4922.79s/it]\u001b[A\u001b[A" + " 25%|███████████████▊ | 0.25486725663716814/1 [16:50<1:01:44, 4970.98s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:43:56> Block 145 of 565 complete - 25.66 % - created peptides 139,174 \n" + "2022-03-27 06:45:40> Block 145 of 565 complete - 25.66 % - created peptides 139,174 - total peptides 23,952,856 \n" ] }, { @@ -18191,14 +18165,14 @@ "text": [ "\n", "\n", - " 26%|████████████████▍ | 0.25663716814159293/1 [16:50<57:32, 4644.99s/it]\u001b[A\u001b[A" + " 26%|████████████████▍ | 0.25663716814159293/1 [16:56<56:21, 4548.95s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:44:03> Block 146 of 565 complete - 25.84 % - created peptides 175,664 \n" + "2022-03-27 06:45:46> Block 146 of 565 complete - 25.84 % - created peptides 175,664 - total peptides 24,128,520 \n" ] }, { @@ -18207,14 +18181,14 @@ "text": [ "\n", "\n", - " 26%|████████████████▊ | 0.2584070796460177/1 [16:57<53:56, 4364.30s/it]\u001b[A\u001b[A" + " 26%|████████████████▊ | 0.2584070796460177/1 [17:04<54:34, 4415.03s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:44:10> Block 147 of 565 complete - 26.02 % - created peptides 180,620 \n" + "2022-03-27 06:45:54> Block 147 of 565 complete - 26.02 % - created peptides 180,620 - total peptides 24,309,140 \n" ] }, { @@ -18223,14 +18197,14 @@ "text": [ "\n", "\n", - " 26%|████████████████▏ | 0.26017699115044246/1 [17:09<1:02:12, 5044.61s/it]\u001b[A\u001b[A" + " 26%|████████████████▏ | 0.26017699115044246/1 [17:16<1:03:17, 5132.79s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:44:21> Block 148 of 565 complete - 26.19 % - created peptides 168,200 \n" + "2022-03-27 06:46:06> Block 148 of 565 complete - 26.19 % - created peptides 168,200 - total peptides 24,477,340 \n" ] }, { @@ -18239,14 +18213,14 @@ "text": [ "\n", "\n", - " 26%|████████████████▊ | 0.26194690265486725/1 [17:16<58:32, 4758.50s/it]\u001b[A\u001b[A" + " 26%|████████████████▊ | 0.26194690265486725/1 [17:23<59:33, 4841.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:44:29> Block 149 of 565 complete - 26.37 % - created peptides 193,816 \n" + "2022-03-27 06:46:13> Block 149 of 565 complete - 26.37 % - created peptides 193,816 - total peptides 24,671,156 \n" ] }, { @@ -18255,14 +18229,14 @@ "text": [ "\n", "\n", - " 26%|████████████████▉ | 0.26371681415929205/1 [17:23<55:56, 4558.48s/it]\u001b[A\u001b[A" + " 26%|████████████████▉ | 0.26371681415929205/1 [17:30<55:48, 4547.66s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:44:36> Block 150 of 565 complete - 26.55 % - created peptides 167,620 \n" + "2022-03-27 06:46:20> Block 150 of 565 complete - 26.55 % - created peptides 167,620 - total peptides 24,838,776 \n" ] }, { @@ -18271,14 +18245,14 @@ "text": [ "\n", "\n", - " 27%|████████████████▉ | 0.26548672566371684/1 [17:31<55:12, 4509.34s/it]\u001b[A\u001b[A" + " 27%|████████████████▉ | 0.26548672566371684/1 [17:37<54:01, 4412.45s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:44:44> Block 151 of 565 complete - 26.73 % - created peptides 166,650 \n" + "2022-03-27 06:46:27> Block 151 of 565 complete - 26.73 % - created peptides 166,650 - total peptides 25,005,426 \n" ] }, { @@ -18287,14 +18261,14 @@ "text": [ "\n", "\n", - " 27%|████████████████▊ | 0.2672566371681416/1 [17:42<1:01:56, 5071.81s/it]\u001b[A\u001b[A" + " 27%|████████████████▊ | 0.2672566371681416/1 [17:48<1:00:40, 4968.04s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:44:55> Block 152 of 565 complete - 26.90 % - created peptides 196,858 \n" + "2022-03-27 06:46:38> Block 152 of 565 complete - 26.90 % - created peptides 159,122 - total peptides 25,164,548 \n" ] }, { @@ -18303,14 +18277,14 @@ "text": [ "\n", "\n", - " 27%|█████████████████▏ | 0.26902654867256637/1 [17:50<58:37, 4811.46s/it]\u001b[A\u001b[A" + " 27%|█████████████████▏ | 0.26902654867256637/1 [17:55<56:15, 4617.90s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:45:02> Block 153 of 565 complete - 27.08 % - created peptides 162,748 \n" + "2022-03-27 06:46:45> Block 153 of 565 complete - 27.08 % - created peptides 138,896 - total peptides 25,303,444 \n" ] }, { @@ -18319,14 +18293,14 @@ "text": [ "\n", "\n", - " 27%|█████████████████▎ | 0.27079646017699116/1 [17:57<55:19, 4552.85s/it]\u001b[A\u001b[A" + " 27%|█████████████████▎ | 0.27079646017699116/1 [18:02<53:45, 4423.11s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:45:09> Block 154 of 565 complete - 27.26 % - created peptides 150,326 \n" + "2022-03-27 06:46:52> Block 154 of 565 complete - 27.26 % - created peptides 162,748 - total peptides 25,466,192 \n" ] }, { @@ -18335,14 +18309,14 @@ "text": [ "\n", "\n", - " 27%|████████████████▉ | 0.27256637168141595/1 [18:08<1:03:06, 5205.66s/it]\u001b[A\u001b[A" + " 27%|████████████████▉ | 0.27256637168141595/1 [18:14<1:03:14, 5216.01s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:45:21> Block 155 of 565 complete - 27.43 % - created peptides 159,122 \n" + "2022-03-27 06:47:05> Block 155 of 565 complete - 27.43 % - created peptides 196,858 - total peptides 25,663,050 \n" ] }, { @@ -18351,14 +18325,14 @@ "text": [ "\n", "\n", - " 27%|█████████████████▊ | 0.2743362831858407/1 [18:16<59:39, 4933.11s/it]\u001b[A\u001b[A" + " 27%|█████████████████▎ | 0.2743362831858407/1 [18:22<1:00:05, 4967.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:45:29> Block 156 of 565 complete - 27.61 % - created peptides 138,896 \n" + "2022-03-27 06:47:12> Block 156 of 565 complete - 27.61 % - created peptides 150,326 - total peptides 25,813,376 \n" ] }, { @@ -18367,14 +18341,14 @@ "text": [ "\n", "\n", - " 28%|█████████████████▉ | 0.2761061946902655/1 [18:23<56:35, 4690.40s/it]\u001b[A\u001b[A" + " 28%|█████████████████▉ | 0.2761061946902655/1 [18:29<56:38, 4695.10s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:45:36> Block 157 of 565 complete - 27.79 % - created peptides 214,474 \n" + "2022-03-27 06:47:19> Block 157 of 565 complete - 27.79 % - created peptides 214,474 - total peptides 26,027,850 \n" ] }, { @@ -18383,14 +18357,14 @@ "text": [ "\n", "\n", - " 28%|██████████████████ | 0.2778761061946903/1 [18:30<53:44, 4465.69s/it]\u001b[A\u001b[A" + " 28%|██████████████████ | 0.2778761061946903/1 [18:37<54:24, 4520.32s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:45:43> Block 158 of 565 complete - 27.96 % - created peptides 152,768 \n" + "2022-03-27 06:47:27> Block 158 of 565 complete - 27.96 % - created peptides 152,768 - total peptides 26,180,618 \n" ] }, { @@ -18399,14 +18373,14 @@ "text": [ "\n", "\n", - " 28%|█████████████████▉ | 0.27964601769911507/1 [18:41<58:58, 4911.91s/it]\u001b[A\u001b[A" + " 28%|█████████████████▎ | 0.27964601769911507/1 [18:48<1:01:49, 5150.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:45:54> Block 159 of 565 complete - 28.14 % - created peptides 182,670 \n" + "2022-03-27 06:47:38> Block 159 of 565 complete - 28.14 % - created peptides 182,670 - total peptides 26,363,288 \n" ] }, { @@ -18415,14 +18389,14 @@ "text": [ "\n", "\n", - " 28%|██████████████████▎ | 0.2814159292035398/1 [18:48<56:25, 4710.80s/it]\u001b[A\u001b[A" + " 28%|██████████████████▎ | 0.2814159292035398/1 [18:55<57:32, 4804.57s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:46:01> Block 160 of 565 complete - 28.32 % - created peptides 194,506 \n" + "2022-03-27 06:47:46> Block 160 of 565 complete - 28.32 % - created peptides 165,790 - total peptides 26,529,078 \n" ] }, { @@ -18431,14 +18405,14 @@ "text": [ "\n", "\n", - " 28%|██████████████████▍ | 0.2831858407079646/1 [18:56<53:56, 4514.96s/it]\u001b[A\u001b[A" + " 28%|██████████████████▍ | 0.2831858407079646/1 [19:03<54:54, 4596.73s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:46:09> Block 161 of 565 complete - 28.50 % - created peptides 165,790 \n" + "2022-03-27 06:47:53> Block 161 of 565 complete - 28.50 % - created peptides 194,506 - total peptides 26,723,584 \n" ] }, { @@ -18447,14 +18421,14 @@ "text": [ "\n", "\n", - " 28%|█████████████████▉ | 0.2849557522123894/1 [19:08<1:02:39, 5257.65s/it]\u001b[A\u001b[A" + " 28%|█████████████████▉ | 0.2849557522123894/1 [19:15<1:03:55, 5364.29s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:46:21> Block 162 of 565 complete - 28.67 % - created peptides 182,578 \n" + "2022-03-27 06:48:05> Block 162 of 565 complete - 28.67 % - created peptides 182,578 - total peptides 26,906,162 \n" ] }, { @@ -18463,14 +18437,14 @@ "text": [ "\n", "\n", - " 29%|██████████████████▋ | 0.2867256637168142/1 [19:15<58:25, 4914.08s/it]\u001b[A\u001b[A" + " 29%|██████████████████▋ | 0.2867256637168142/1 [19:22<58:46, 4943.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:46:28> Block 163 of 565 complete - 28.85 % - created peptides 167,066 \n" + "2022-03-27 06:48:12> Block 163 of 565 complete - 28.85 % - created peptides 153,212 - total peptides 27,059,374 \n" ] }, { @@ -18479,14 +18453,14 @@ "text": [ "\n", "\n", - " 29%|██████████████████▊ | 0.2884955752212389/1 [19:22<54:19, 4581.59s/it]\u001b[A\u001b[A" + " 29%|██████████████████▊ | 0.2884955752212389/1 [19:30<55:16, 4661.13s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:46:35> Block 164 of 565 complete - 29.03 % - created peptides 162,810 \n" + "2022-03-27 06:48:20> Block 164 of 565 complete - 29.03 % - created peptides 167,066 - total peptides 27,226,440 \n" ] }, { @@ -18495,14 +18469,14 @@ "text": [ "\n", "\n", - " 29%|██████████████████▊ | 0.2902654867256637/1 [19:29<52:13, 4414.65s/it]\u001b[A\u001b[A" + " 29%|██████████████████▊ | 0.2902654867256637/1 [19:37<53:39, 4536.36s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:46:42> Block 165 of 565 complete - 29.20 % - created peptides 153,212 \n" + "2022-03-27 06:48:27> Block 165 of 565 complete - 29.20 % - created peptides 202,984 - total peptides 27,429,424 \n" ] }, { @@ -18511,14 +18485,14 @@ "text": [ "\n", "\n", - " 29%|██████████████████▍ | 0.2920353982300885/1 [19:41<1:00:25, 5120.71s/it]\u001b[A\u001b[A" + " 29%|██████████████████▍ | 0.2920353982300885/1 [19:49<1:00:42, 5145.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:46:54> Block 166 of 565 complete - 29.38 % - created peptides 202,984 \n" + "2022-03-27 06:48:39> Block 166 of 565 complete - 29.38 % - created peptides 162,810 - total peptides 27,592,234 \n" ] }, { @@ -18527,14 +18501,14 @@ "text": [ "\n", "\n", - " 29%|███████████████████ | 0.2938053097345133/1 [19:48<56:57, 4839.49s/it]\u001b[A\u001b[A" + " 29%|███████████████████ | 0.2938053097345133/1 [19:55<56:01, 4760.48s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:47:01> Block 167 of 565 complete - 29.56 % - created peptides 138,888 \n" + "2022-03-27 06:48:46> Block 167 of 565 complete - 29.56 % - created peptides 138,888 - total peptides 27,731,122 \n" ] }, { @@ -18543,14 +18517,14 @@ "text": [ "\n", "\n", - " 30%|██████████████████▉ | 0.29557522123893804/1 [19:56<54:24, 4634.31s/it]\u001b[A\u001b[A" + " 30%|██████████████████▉ | 0.29557522123893804/1 [20:03<53:21, 4545.07s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:47:09> Block 168 of 565 complete - 29.73 % - created peptides 140,120 \n" + "2022-03-27 06:48:53> Block 168 of 565 complete - 29.73 % - created peptides 140,120 - total peptides 27,871,242 \n" ] }, { @@ -18559,14 +18533,14 @@ "text": [ "\n", "\n", - " 30%|███████████████████▎ | 0.2973451327433628/1 [20:03<52:37, 4493.04s/it]\u001b[A\u001b[A" + " 30%|███████████████████▎ | 0.2973451327433628/1 [20:10<52:26, 4478.25s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:47:16> Block 169 of 565 complete - 29.91 % - created peptides 170,784 \n" + "2022-03-27 06:49:00> Block 169 of 565 complete - 29.91 % - created peptides 170,784 - total peptides 28,042,026 \n" ] }, { @@ -18575,14 +18549,14 @@ "text": [ "\n", "\n", - " 30%|██████████████████▊ | 0.2991150442477876/1 [20:15<1:00:56, 5216.73s/it]\u001b[A\u001b[A" + " 30%|██████████████████▊ | 0.2991150442477876/1 [20:22<1:00:20, 5166.23s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:47:28> Block 170 of 565 complete - 30.09 % - created peptides 145,140 \n" + "2022-03-27 06:49:12> Block 170 of 565 complete - 30.09 % - created peptides 161,368 - total peptides 28,203,394 \n" ] }, { @@ -18591,14 +18565,14 @@ "text": [ "\n", "\n", - " 30%|███████████████████▌ | 0.3008849557522124/1 [20:22<56:22, 4837.76s/it]\u001b[A\u001b[A" + " 30%|███████████████████▌ | 0.3008849557522124/1 [20:30<56:44, 4869.45s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:47:35> Block 171 of 565 complete - 30.27 % - created peptides 161,368 \n" + "2022-03-27 06:49:20> Block 171 of 565 complete - 30.27 % - created peptides 145,140 - total peptides 28,348,534 \n" ] }, { @@ -18607,14 +18581,14 @@ "text": [ "\n", "\n", - " 30%|███████████████████▎ | 0.30265486725663715/1 [20:30<53:36, 4612.04s/it]\u001b[A\u001b[A" + " 30%|███████████████████▎ | 0.30265486725663715/1 [20:37<54:11, 4661.97s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:47:43> Block 172 of 565 complete - 30.44 % - created peptides 138,080 \n" + "2022-03-27 06:49:27> Block 172 of 565 complete - 30.44 % - created peptides 138,080 - total peptides 28,486,614 \n" ] }, { @@ -18623,14 +18597,14 @@ "text": [ "\n", "\n", - " 30%|███████████████████▍ | 0.30442477876106194/1 [20:37<52:22, 4517.45s/it]\u001b[A\u001b[A" + " 30%|███████████████████▍ | 0.30442477876106194/1 [20:44<51:50, 4471.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:47:50> Block 173 of 565 complete - 30.62 % - created peptides 146,884 \n" + "2022-03-27 06:49:34> Block 173 of 565 complete - 30.62 % - created peptides 146,884 - total peptides 28,633,498 \n" ] }, { @@ -18639,14 +18613,14 @@ "text": [ "\n", "\n", - " 31%|██████████████████▉ | 0.30619469026548674/1 [20:50<1:02:03, 5367.14s/it]\u001b[A\u001b[A" + " 31%|██████████████████▉ | 0.30619469026548674/1 [20:57<1:00:48, 5258.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:48:03> Block 174 of 565 complete - 30.80 % - created peptides 164,074 \n" + "2022-03-27 06:49:47> Block 174 of 565 complete - 30.80 % - created peptides 196,242 - total peptides 28,829,740 \n" ] }, { @@ -18655,14 +18629,14 @@ "text": [ "\n", "\n", - " 31%|███████████████████▋ | 0.30796460176991153/1 [20:58<57:49, 5013.89s/it]\u001b[A\u001b[A" + " 31%|███████████████████▋ | 0.30796460176991153/1 [21:04<57:23, 4975.34s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:48:11> Block 175 of 565 complete - 30.97 % - created peptides 137,356 \n" + "2022-03-27 06:49:54> Block 175 of 565 complete - 30.97 % - created peptides 164,074 - total peptides 28,993,814 \n" ] }, { @@ -18671,14 +18645,14 @@ "text": [ "\n", "\n", - " 31%|███████████████████▊ | 0.30973451327433627/1 [21:05<54:42, 4755.02s/it]\u001b[A\u001b[A" + " 31%|███████████████████▊ | 0.30973451327433627/1 [21:11<53:12, 4625.20s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:48:18> Block 176 of 565 complete - 31.15 % - created peptides 151,144 \n" + "2022-03-27 06:50:01> Block 176 of 565 complete - 31.15 % - created peptides 137,356 - total peptides 29,131,170 \n" ] }, { @@ -18687,14 +18661,14 @@ "text": [ "\n", "\n", - " 31%|███████████████████▉ | 0.31150442477876106/1 [21:12<51:05, 4451.97s/it]\u001b[A\u001b[A" + " 31%|███████████████████▉ | 0.31150442477876106/1 [21:18<51:23, 4478.12s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:48:25> Block 177 of 565 complete - 31.33 % - created peptides 131,868 \n" + "2022-03-27 06:50:09> Block 177 of 565 complete - 31.33 % - created peptides 131,868 - total peptides 29,263,038 \n" ] }, { @@ -18703,14 +18677,14 @@ "text": [ "\n", "\n", - " 31%|███████████████████▍ | 0.31327433628318585/1 [21:24<1:00:00, 5242.95s/it]\u001b[A\u001b[A" + " 31%|████████████████████ | 0.31327433628318585/1 [21:31<59:15, 5178.02s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:48:37> Block 178 of 565 complete - 31.50 % - created peptides 196,242 \n" + "2022-03-27 06:50:21> Block 178 of 565 complete - 31.50 % - created peptides 151,144 - total peptides 29,414,182 \n" ] }, { @@ -18719,14 +18693,14 @@ "text": [ "\n", "\n", - " 32%|████████████████████▏ | 0.31504424778761064/1 [21:32<56:13, 4924.77s/it]\u001b[A\u001b[A" + " 32%|████████████████████▏ | 0.31504424778761064/1 [21:38<55:21, 4848.85s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:48:45> Block 179 of 565 complete - 31.68 % - created peptides 139,992 \n" + "2022-03-27 06:50:28> Block 179 of 565 complete - 31.68 % - created peptides 130,312 - total peptides 29,544,494 \n" ] }, { @@ -18735,14 +18709,14 @@ "text": [ "\n", "\n", - " 32%|████████████████████▌ | 0.3168141592920354/1 [21:38<50:39, 4449.03s/it]\u001b[A\u001b[A" + " 32%|████████████████████▌ | 0.3168141592920354/1 [21:44<50:57, 4475.64s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:48:50> Block 180 of 565 complete - 31.86 % - created peptides 130,312 \n" + "2022-03-27 06:50:34> Block 180 of 565 complete - 31.86 % - created peptides 179,752 - total peptides 29,724,246 \n" ] }, { @@ -18751,14 +18725,14 @@ "text": [ "\n", "\n", - " 32%|████████████████████▋ | 0.3185840707964602/1 [21:43<45:26, 4001.06s/it]\u001b[A\u001b[A" + " 32%|████████████████████▋ | 0.3185840707964602/1 [21:50<47:09, 4152.48s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:48:56> Block 181 of 565 complete - 32.04 % - created peptides 179,752 \n" + "2022-03-27 06:50:40> Block 181 of 565 complete - 32.04 % - created peptides 139,992 - total peptides 29,864,238 \n" ] }, { @@ -18767,14 +18741,14 @@ "text": [ "\n", "\n", - " 32%|████████████████████▌ | 0.32035398230088497/1 [21:52<49:42, 4388.11s/it]\u001b[A\u001b[A" + " 32%|████████████████████▌ | 0.32035398230088497/1 [21:59<49:40, 4385.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:05> Block 182 of 565 complete - 32.21 % - created peptides 189,966 \n" + "2022-03-27 06:50:49> Block 182 of 565 complete - 32.21 % - created peptides 189,966 - total peptides 30,054,204 \n" ] }, { @@ -18783,14 +18757,14 @@ "text": [ "\n", "\n", - " 32%|████████████████████▌ | 0.32212389380530976/1 [21:56<41:56, 3711.85s/it]\u001b[A\u001b[A" + " 32%|████████████████████▌ | 0.32212389380530976/1 [22:03<41:44, 3694.03s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:09> Block 183 of 565 complete - 32.39 % - created peptides 173,140 \n" + "2022-03-27 06:50:53> Block 183 of 565 complete - 32.39 % - created peptides 173,140 - total peptides 30,227,344 \n" ] }, { @@ -18799,14 +18773,14 @@ "text": [ "\n", "\n", - " 32%|█████████████████████ | 0.3238938053097345/1 [22:00<36:19, 3223.91s/it]\u001b[A\u001b[A" + " 32%|█████████████████████ | 0.3238938053097345/1 [22:06<36:08, 3206.81s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:12> Block 184 of 565 complete - 32.57 % - created peptides 129,020 \n" + "2022-03-27 06:50:56> Block 184 of 565 complete - 32.57 % - created peptides 131,530 - total peptides 30,358,874 \n" ] }, { @@ -18815,14 +18789,14 @@ "text": [ "\n", "\n", - " 33%|█████████████████████▏ | 0.3256637168141593/1 [22:03<32:25, 2885.53s/it]\u001b[A\u001b[A" + " 33%|█████████████████████▏ | 0.3256637168141593/1 [22:10<32:17, 2872.62s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:16> Block 185 of 565 complete - 32.74 % - created peptides 165,448 \n" + "2022-03-27 06:51:00> Block 185 of 565 complete - 32.74 % - created peptides 129,020 - total peptides 30,487,894 \n" ] }, { @@ -18831,14 +18805,14 @@ "text": [ "\n", "\n", - " 33%|█████████████████████▎ | 0.3274336283185841/1 [22:07<29:47, 2657.87s/it]\u001b[A\u001b[A" + " 33%|█████████████████████▎ | 0.3274336283185841/1 [22:17<36:46, 3281.00s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:20> Block 186 of 565 complete - 32.92 % - created peptides 131,530 \n" + "2022-03-27 06:51:07> Block 186 of 565 complete - 32.92 % - created peptides 164,108 - total peptides 30,652,002 \n" ] }, { @@ -18847,14 +18821,14 @@ "text": [ "\n", "\n", - " 33%|█████████████████████▍ | 0.3292035398230089/1 [22:14<34:46, 3110.34s/it]\u001b[A\u001b[A" + " 33%|█████████████████████▍ | 0.3292035398230089/1 [22:21<32:41, 2923.98s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:27> Block 187 of 565 complete - 33.10 % - created peptides 164,108 \n" + "2022-03-27 06:51:11> Block 187 of 565 complete - 33.10 % - created peptides 165,448 - total peptides 30,817,450 \n" ] }, { @@ -18863,14 +18837,14 @@ "text": [ "\n", "\n", - " 33%|█████████████████████▌ | 0.3309734513274336/1 [22:18<31:18, 2807.92s/it]\u001b[A\u001b[A" + " 33%|█████████████████████▌ | 0.3309734513274336/1 [22:25<29:48, 2673.82s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:31> Block 188 of 565 complete - 33.27 % - created peptides 145,644 \n" + "2022-03-27 06:51:15> Block 188 of 565 complete - 33.27 % - created peptides 145,644 - total peptides 30,963,094 \n" ] }, { @@ -18879,14 +18853,14 @@ "text": [ "\n", "\n", - " 33%|█████████████████████▋ | 0.3327433628318584/1 [22:22<28:56, 2601.79s/it]\u001b[A\u001b[A" + " 33%|█████████████████████▋ | 0.3327433628318584/1 [22:28<27:48, 2499.94s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:35> Block 189 of 565 complete - 33.45 % - created peptides 185,214 \n" + "2022-03-27 06:51:19> Block 189 of 565 complete - 33.45 % - created peptides 165,076 - total peptides 31,128,170 \n" ] }, { @@ -18895,14 +18869,14 @@ "text": [ "\n", "\n", - " 33%|█████████████████████▋ | 0.3345132743362832/1 [22:26<27:10, 2450.20s/it]\u001b[A\u001b[A" + " 33%|█████████████████████▋ | 0.3345132743362832/1 [22:32<26:21, 2376.22s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:39> Block 190 of 565 complete - 33.63 % - created peptides 165,076 \n" + "2022-03-27 06:51:22> Block 190 of 565 complete - 33.63 % - created peptides 185,214 - total peptides 31,313,384 \n" ] }, { @@ -18911,14 +18885,14 @@ "text": [ "\n", "\n", - " 34%|██████████████████████▏ | 0.336283185840708/1 [22:29<25:57, 2347.07s/it]\u001b[A\u001b[A" + " 34%|██████████████████████▏ | 0.336283185840708/1 [22:40<32:33, 2943.04s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:42> Block 191 of 565 complete - 33.81 % - created peptides 123,504 \n" + "2022-03-27 06:51:30> Block 191 of 565 complete - 33.81 % - created peptides 123,504 - total peptides 31,436,888 \n" ] }, { @@ -18927,14 +18901,14 @@ "text": [ "\n", "\n", - " 34%|█████████████████████▉ | 0.3380530973451327/1 [22:37<31:55, 2893.49s/it]\u001b[A\u001b[A" + " 34%|█████████████████████▉ | 0.3380530973451327/1 [22:43<29:43, 2694.64s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:50> Block 192 of 565 complete - 33.98 % - created peptides 169,220 \n" + "2022-03-27 06:51:34> Block 192 of 565 complete - 33.98 % - created peptides 169,220 - total peptides 31,606,108 \n" ] }, { @@ -18943,14 +18917,14 @@ "text": [ "\n", "\n", - " 34%|██████████████████████ | 0.3398230088495575/1 [22:40<29:17, 2662.60s/it]\u001b[A\u001b[A" + " 34%|██████████████████████ | 0.3398230088495575/1 [22:47<27:42, 2518.58s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:53> Block 193 of 565 complete - 34.16 % - created peptides 180,122 \n" + "2022-03-27 06:51:37> Block 193 of 565 complete - 34.16 % - created peptides 180,122 - total peptides 31,786,230 \n" ] }, { @@ -18959,14 +18933,14 @@ "text": [ "\n", "\n", - " 34%|██████████████████████▏ | 0.3415929203539823/1 [22:44<27:29, 2505.32s/it]\u001b[A\u001b[A" + " 34%|██████████████████████▏ | 0.3415929203539823/1 [22:51<26:19, 2399.14s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:49:57> Block 194 of 565 complete - 34.34 % - created peptides 171,852 \n" + "2022-03-27 06:51:41> Block 194 of 565 complete - 34.34 % - created peptides 171,852 - total peptides 31,958,082 \n" ] }, { @@ -18975,14 +18949,14 @@ "text": [ "\n", "\n", - " 34%|██████████████████████▎ | 0.3433628318584071/1 [22:48<26:09, 2389.62s/it]\u001b[A\u001b[A" + " 34%|██████████████████████▎ | 0.3433628318584071/1 [22:55<25:20, 2315.80s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:01> Block 195 of 565 complete - 34.51 % - created peptides 165,384 \n" + "2022-03-27 06:51:45> Block 195 of 565 complete - 34.51 % - created peptides 165,384 - total peptides 32,123,466 \n" ] }, { @@ -18991,14 +18965,14 @@ "text": [ "\n", "\n", - " 35%|██████████████████████ | 0.34513274336283184/1 [22:56<32:21, 2965.14s/it]\u001b[A\u001b[A" + " 35%|██████████████████████ | 0.34513274336283184/1 [23:02<31:39, 2900.33s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:09> Block 196 of 565 complete - 34.69 % - created peptides 141,398 \n" + "2022-03-27 06:51:52> Block 196 of 565 complete - 34.69 % - created peptides 144,588 - total peptides 32,268,054 \n" ] }, { @@ -19007,14 +18981,14 @@ "text": [ "\n", "\n", - " 35%|██████████████████████▏ | 0.34690265486725663/1 [22:59<29:29, 2708.80s/it]\u001b[A\u001b[A" + " 35%|██████████████████████▏ | 0.34690265486725663/1 [23:06<29:04, 2670.77s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:12> Block 197 of 565 complete - 34.87 % - created peptides 151,990 \n" + "2022-03-27 06:51:56> Block 197 of 565 complete - 34.87 % - created peptides 151,990 - total peptides 32,420,044 \n" ] }, { @@ -19023,14 +18997,14 @@ "text": [ "\n", "\n", - " 35%|██████████████████████▋ | 0.3486725663716814/1 [23:03<27:32, 2536.94s/it]\u001b[A\u001b[A" + " 35%|██████████████████████▋ | 0.3486725663716814/1 [23:10<27:18, 2515.42s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:16> Block 198 of 565 complete - 35.04 % - created peptides 144,588 \n" + "2022-03-27 06:52:00> Block 198 of 565 complete - 35.04 % - created peptides 141,398 - total peptides 32,561,442 \n" ] }, { @@ -19039,14 +19013,14 @@ "text": [ "\n", "\n", - " 35%|██████████████████████▊ | 0.3504424778761062/1 [23:07<26:09, 2416.62s/it]\u001b[A\u001b[A" + " 35%|██████████████████████▊ | 0.3504424778761062/1 [23:14<25:59, 2401.29s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:20> Block 199 of 565 complete - 35.22 % - created peptides 164,426 \n" + "2022-03-27 06:52:04> Block 199 of 565 complete - 35.22 % - created peptides 164,426 - total peptides 32,725,868 \n" ] }, { @@ -19055,14 +19029,14 @@ "text": [ "\n", "\n", - " 35%|██████████████████████▌ | 0.35221238938053095/1 [23:11<25:12, 2335.23s/it]\u001b[A\u001b[A" + " 35%|██████████████████████▌ | 0.35221238938053095/1 [23:17<25:01, 2317.94s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:24> Block 200 of 565 complete - 35.40 % - created peptides 171,466 \n" + "2022-03-27 06:52:07> Block 200 of 565 complete - 35.40 % - created peptides 171,466 - total peptides 32,897,334 \n" ] }, { @@ -19071,14 +19045,14 @@ "text": [ "\n", "\n", - " 35%|██████████████████████▋ | 0.35398230088495575/1 [23:18<31:35, 2934.53s/it]\u001b[A\u001b[A" + " 35%|██████████████████████▋ | 0.35398230088495575/1 [23:25<31:05, 2887.99s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:31> Block 201 of 565 complete - 35.58 % - created peptides 155,678 \n" + "2022-03-27 06:52:15> Block 201 of 565 complete - 35.58 % - created peptides 155,678 - total peptides 33,053,012 \n" ] }, { @@ -19087,14 +19061,14 @@ "text": [ "\n", "\n", - " 36%|██████████████████████▊ | 0.35575221238938054/1 [23:22<29:01, 2703.29s/it]\u001b[A\u001b[A" + " 36%|██████████████████████▊ | 0.35575221238938054/1 [23:29<28:38, 2666.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:35> Block 202 of 565 complete - 35.75 % - created peptides 186,722 \n" + "2022-03-27 06:52:19> Block 202 of 565 complete - 35.75 % - created peptides 186,722 - total peptides 33,239,734 \n" ] }, { @@ -19103,14 +19077,14 @@ "text": [ "\n", "\n", - " 36%|██████████████████████▉ | 0.35752212389380533/1 [23:26<27:08, 2535.02s/it]\u001b[A\u001b[A" + " 36%|██████████████████████▉ | 0.35752212389380533/1 [23:32<26:56, 2515.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:39> Block 203 of 565 complete - 35.93 % - created peptides 144,526 \n" + "2022-03-27 06:52:23> Block 203 of 565 complete - 35.93 % - created peptides 144,526 - total peptides 33,384,260 \n" ] }, { @@ -19119,14 +19093,14 @@ "text": [ "\n", "\n", - " 36%|██████████████████████▉ | 0.35929203539823007/1 [23:30<25:52, 2423.26s/it]\u001b[A\u001b[A" + " 36%|██████████████████████▉ | 0.35929203539823007/1 [23:36<25:37, 2399.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:43> Block 204 of 565 complete - 36.11 % - created peptides 173,406 \n" + "2022-03-27 06:52:26> Block 204 of 565 complete - 36.11 % - created peptides 173,406 - total peptides 33,557,666 \n" ] }, { @@ -19135,14 +19109,14 @@ "text": [ "\n", "\n", - " 36%|███████████████████████ | 0.36106194690265486/1 [23:34<24:54, 2339.77s/it]\u001b[A\u001b[A" + " 36%|███████████████████████ | 0.36106194690265486/1 [23:40<24:46, 2326.08s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:47> Block 205 of 565 complete - 36.28 % - created peptides 176,618 \n" + "2022-03-27 06:52:30> Block 205 of 565 complete - 36.28 % - created peptides 176,618 - total peptides 33,734,284 \n" ] }, { @@ -19151,14 +19125,14 @@ "text": [ "\n", "\n", - " 36%|███████████████████████▏ | 0.36283185840707965/1 [23:41<30:59, 2918.85s/it]\u001b[A\u001b[A" + " 36%|███████████████████████▏ | 0.36283185840707965/1 [23:47<30:34, 2879.38s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:54> Block 206 of 565 complete - 36.46 % - created peptides 179,046 \n" + "2022-03-27 06:52:38> Block 206 of 565 complete - 36.46 % - created peptides 179,046 - total peptides 33,913,330 \n" ] }, { @@ -19167,14 +19141,14 @@ "text": [ "\n", "\n", - " 36%|███████████████████████▎ | 0.36460176991150445/1 [23:45<28:29, 2690.77s/it]\u001b[A\u001b[A" + " 36%|███████████████████████▎ | 0.36460176991150445/1 [23:51<28:15, 2668.04s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:50:58> Block 207 of 565 complete - 36.64 % - created peptides 166,436 \n" + "2022-03-27 06:52:41> Block 207 of 565 complete - 36.64 % - created peptides 166,436 - total peptides 34,079,766 \n" ] }, { @@ -19183,14 +19157,14 @@ "text": [ "\n", "\n", - " 37%|███████████████████████▊ | 0.3663716814159292/1 [23:49<26:55, 2549.57s/it]\u001b[A\u001b[A" + " 37%|███████████████████████▊ | 0.3663716814159292/1 [23:55<26:37, 2520.54s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:02> Block 208 of 565 complete - 36.81 % - created peptides 154,746 \n" + "2022-03-27 06:52:45> Block 208 of 565 complete - 36.81 % - created peptides 154,746 - total peptides 34,234,512 \n" ] }, { @@ -19199,14 +19173,14 @@ "text": [ "\n", "\n", - " 37%|████████████████████████▎ | 0.368141592920354/1 [23:53<25:36, 2431.89s/it]\u001b[A\u001b[A" + " 37%|████████████████████████▎ | 0.368141592920354/1 [23:59<25:29, 2420.45s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:06> Block 209 of 565 complete - 36.99 % - created peptides 166,372 \n" + "2022-03-27 06:52:49> Block 209 of 565 complete - 36.99 % - created peptides 166,372 - total peptides 34,400,884 \n" ] }, { @@ -19215,14 +19189,14 @@ "text": [ "\n", "\n", - " 37%|███████████████████████▋ | 0.36991150442477877/1 [23:57<24:43, 2354.98s/it]\u001b[A\u001b[A" + " 37%|███████████████████████▋ | 0.36991150442477877/1 [24:07<31:20, 2984.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:10> Block 210 of 565 complete - 37.17 % - created peptides 176,742 \n" + "2022-03-27 06:52:57> Block 210 of 565 complete - 37.17 % - created peptides 176,742 - total peptides 34,577,626 \n" ] }, { @@ -19231,14 +19205,14 @@ "text": [ "\n", "\n", - " 37%|███████████████████████▊ | 0.37168141592920356/1 [24:04<30:22, 2901.29s/it]\u001b[A\u001b[A" + " 37%|███████████████████████▊ | 0.37168141592920356/1 [24:11<28:45, 2746.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:17> Block 211 of 565 complete - 37.35 % - created peptides 171,568 \n" + "2022-03-27 06:53:01> Block 211 of 565 complete - 37.35 % - created peptides 171,568 - total peptides 34,749,194 \n" ] }, { @@ -19247,14 +19221,14 @@ "text": [ "\n", "\n", - " 37%|████████████████████████▎ | 0.3734513274336283/1 [24:08<28:01, 2683.73s/it]\u001b[A\u001b[A" + " 37%|████████████████████████▎ | 0.3734513274336283/1 [24:14<26:54, 2577.53s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:21> Block 212 of 565 complete - 37.52 % - created peptides 189,460 \n" + "2022-03-27 06:53:04> Block 212 of 565 complete - 37.52 % - created peptides 176,258 - total peptides 34,925,452 \n" ] }, { @@ -19263,14 +19237,14 @@ "text": [ "\n", "\n", - " 38%|████████████████████████▍ | 0.3752212389380531/1 [24:12<26:25, 2538.34s/it]\u001b[A\u001b[A" + " 38%|████████████████████████▍ | 0.3752212389380531/1 [24:18<25:37, 2460.43s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:25> Block 213 of 565 complete - 37.70 % - created peptides 176,258 \n" + "2022-03-27 06:53:08> Block 213 of 565 complete - 37.70 % - created peptides 189,460 - total peptides 35,114,912 \n" ] }, { @@ -19279,14 +19253,14 @@ "text": [ "\n", "\n", - " 38%|████████████████████████▌ | 0.3769911504424779/1 [24:16<25:14, 2431.67s/it]\u001b[A\u001b[A" + " 38%|████████████████████████▌ | 0.3769911504424779/1 [24:22<24:47, 2387.58s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:29> Block 214 of 565 complete - 37.88 % - created peptides 176,020 \n" + "2022-03-27 06:53:12> Block 214 of 565 complete - 37.88 % - created peptides 176,020 - total peptides 35,290,932 \n" ] }, { @@ -19295,14 +19269,14 @@ "text": [ "\n", "\n", - " 38%|████████████████████████▌ | 0.3787610619469027/1 [24:19<24:25, 2359.49s/it]\u001b[A\u001b[A" + " 38%|████████████████████████▌ | 0.3787610619469027/1 [24:30<30:20, 2930.53s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:32> Block 215 of 565 complete - 38.05 % - created peptides 188,670 \n" + "2022-03-27 06:53:20> Block 215 of 565 complete - 38.05 % - created peptides 188,670 - total peptides 35,479,602 \n" ] }, { @@ -19311,14 +19285,14 @@ "text": [ "\n", "\n", - " 38%|████████████████████████▋ | 0.3805309734513274/1 [24:27<29:52, 2894.09s/it]\u001b[A\u001b[A" + " 38%|████████████████████████▋ | 0.3805309734513274/1 [24:34<28:00, 2712.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:40> Block 216 of 565 complete - 38.23 % - created peptides 189,392 \n" + "2022-03-27 06:53:24> Block 216 of 565 complete - 38.23 % - created peptides 189,392 - total peptides 35,668,994 \n" ] }, { @@ -19327,14 +19301,14 @@ "text": [ "\n", "\n", - " 38%|████████████████████████▊ | 0.3823008849557522/1 [24:31<27:38, 2685.70s/it]\u001b[A\u001b[A" + " 38%|████████████████████████▊ | 0.3823008849557522/1 [24:37<26:21, 2560.23s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:44> Block 217 of 565 complete - 38.41 % - created peptides 170,182 \n" + "2022-03-27 06:53:27> Block 217 of 565 complete - 38.41 % - created peptides 170,182 - total peptides 35,839,176 \n" ] }, { @@ -19343,14 +19317,14 @@ "text": [ "\n", "\n", - " 38%|█████████████████████████▎ | 0.384070796460177/1 [24:35<26:01, 2535.49s/it]\u001b[A\u001b[A" + " 38%|█████████████████████████▎ | 0.384070796460177/1 [24:41<25:09, 2450.31s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:47> Block 218 of 565 complete - 38.58 % - created peptides 173,880 \n" + "2022-03-27 06:53:31> Block 218 of 565 complete - 38.58 % - created peptides 173,880 - total peptides 36,013,056 \n" ] }, { @@ -19359,14 +19333,14 @@ "text": [ "\n", "\n", - " 39%|█████████████████████████ | 0.3858407079646018/1 [24:39<25:00, 2443.35s/it]\u001b[A\u001b[A" + " 39%|█████████████████████████ | 0.3858407079646018/1 [24:49<30:42, 3000.33s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:51> Block 219 of 565 complete - 38.76 % - created peptides 176,730 \n" + "2022-03-27 06:53:39> Block 219 of 565 complete - 38.76 % - created peptides 176,730 - total peptides 36,189,786 \n" ] }, { @@ -19375,14 +19349,14 @@ "text": [ "\n", "\n", - " 39%|████████████████████████▊ | 0.38761061946902653/1 [24:46<30:20, 2972.39s/it]\u001b[A\u001b[A" + " 39%|████████████████████████▊ | 0.38761061946902653/1 [24:53<28:12, 2763.66s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:51:59> Block 220 of 565 complete - 38.94 % - created peptides 172,268 \n" + "2022-03-27 06:53:43> Block 220 of 565 complete - 38.94 % - created peptides 172,268 - total peptides 36,362,054 \n" ] }, { @@ -19391,14 +19365,14 @@ "text": [ "\n", "\n", - " 39%|█████████████████████████▎ | 0.3893805309734513/1 [24:50<27:57, 2746.58s/it]\u001b[A\u001b[A" + " 39%|█████████████████████████▎ | 0.3893805309734513/1 [24:57<26:31, 2607.01s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:03> Block 221 of 565 complete - 39.12 % - created peptides 172,880 \n" + "2022-03-27 06:53:47> Block 221 of 565 complete - 39.12 % - created peptides 172,880 - total peptides 36,534,934 \n" ] }, { @@ -19407,14 +19381,14 @@ "text": [ "\n", "\n", - " 39%|█████████████████████████▍ | 0.3911504424778761/1 [24:54<26:15, 2587.46s/it]\u001b[A\u001b[A" + " 39%|█████████████████████████▍ | 0.3911504424778761/1 [25:01<25:15, 2489.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:07> Block 222 of 565 complete - 39.29 % - created peptides 181,794 \n" + "2022-03-27 06:53:51> Block 222 of 565 complete - 39.29 % - created peptides 181,794 - total peptides 36,716,728 \n" ] }, { @@ -19423,14 +19397,14 @@ "text": [ "\n", "\n", - " 39%|█████████████████████████▌ | 0.3929203539823009/1 [24:58<24:57, 2466.52s/it]\u001b[A\u001b[A" + " 39%|█████████████████████████▌ | 0.3929203539823009/1 [25:05<24:26, 2416.21s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:11> Block 223 of 565 complete - 39.47 % - created peptides 155,094 \n" + "2022-03-27 06:53:55> Block 223 of 565 complete - 39.47 % - created peptides 155,094 - total peptides 36,871,822 \n" ] }, { @@ -19439,14 +19413,14 @@ "text": [ "\n", "\n", - " 39%|█████████████████████████▎ | 0.39469026548672564/1 [25:05<30:20, 3008.34s/it]\u001b[A\u001b[A" + " 39%|█████████████████████████▎ | 0.39469026548672564/1 [25:12<29:37, 2936.87s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:18> Block 224 of 565 complete - 39.65 % - created peptides 179,426 \n" + "2022-03-27 06:54:02> Block 224 of 565 complete - 39.65 % - created peptides 179,426 - total peptides 37,051,248 \n" ] }, { @@ -19455,14 +19429,14 @@ "text": [ "\n", "\n", - " 40%|█████████████████████████▎ | 0.39646017699115044/1 [25:09<27:50, 2768.35s/it]\u001b[A\u001b[A" + " 40%|█████████████████████████▎ | 0.39646017699115044/1 [25:16<27:24, 2725.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:22> Block 225 of 565 complete - 39.82 % - created peptides 155,806 \n" + "2022-03-27 06:54:06> Block 225 of 565 complete - 39.82 % - created peptides 179,922 - total peptides 37,231,170 \n" ] }, { @@ -19471,14 +19445,14 @@ "text": [ "\n", "\n", - " 40%|█████████████████████████▍ | 0.39823008849557523/1 [25:13<26:03, 2597.93s/it]\u001b[A\u001b[A" + " 40%|█████████████████████████▍ | 0.39823008849557523/1 [25:20<25:49, 2574.38s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:26> Block 226 of 565 complete - 40.00 % - created peptides 179,922 \n" + "2022-03-27 06:54:10> Block 226 of 565 complete - 40.00 % - created peptides 155,806 - total peptides 37,386,976 \n" ] }, { @@ -19487,14 +19461,14 @@ "text": [ "\n", "\n", - " 40%|████████████████████████████████ | 0.4/1 [25:17<24:48, 2481.59s/it]\u001b[A\u001b[A" + " 40%|████████████████████████████████ | 0.4/1 [25:24<24:43, 2471.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:30> Block 227 of 565 complete - 40.18 % - created peptides 173,308 \n" + "2022-03-27 06:54:14> Block 227 of 565 complete - 40.18 % - created peptides 173,308 - total peptides 37,560,284 \n" ] }, { @@ -19503,14 +19477,14 @@ "text": [ "\n", "\n", - " 40%|█████████████████████████▋ | 0.40176991150442476/1 [25:21<23:58, 2404.04s/it]\u001b[A\u001b[A" + " 40%|█████████████████████████▋ | 0.40176991150442476/1 [25:31<29:51, 2994.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:34> Block 228 of 565 complete - 40.35 % - created peptides 191,732 \n" + "2022-03-27 06:54:21> Block 228 of 565 complete - 40.35 % - created peptides 156,618 - total peptides 37,716,902 \n" ] }, { @@ -19519,14 +19493,14 @@ "text": [ "\n", "\n", - " 40%|█████████████████████████▊ | 0.40353982300884955/1 [25:28<29:09, 2933.95s/it]\u001b[A\u001b[A" + " 40%|█████████████████████████▊ | 0.40353982300884955/1 [25:35<27:29, 2766.14s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:41> Block 229 of 565 complete - 40.53 % - created peptides 156,618 \n" + "2022-03-27 06:54:25> Block 229 of 565 complete - 40.53 % - created peptides 191,732 - total peptides 37,908,634 \n" ] }, { @@ -19535,14 +19509,14 @@ "text": [ "\n", "\n", - " 41%|█████████████████████████▉ | 0.40530973451327434/1 [25:32<26:55, 2716.90s/it]\u001b[A\u001b[A" + " 41%|█████████████████████████▉ | 0.40530973451327434/1 [25:39<25:50, 2607.58s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:45> Block 230 of 565 complete - 40.71 % - created peptides 177,216 \n" + "2022-03-27 06:54:29> Block 230 of 565 complete - 40.71 % - created peptides 177,216 - total peptides 38,085,850 \n" ] }, { @@ -19551,14 +19525,14 @@ "text": [ "\n", "\n", - " 41%|██████████████████████████ | 0.40707964601769914/1 [25:36<25:21, 2566.85s/it]\u001b[A\u001b[A" + " 41%|██████████████████████████ | 0.40707964601769914/1 [25:43<24:40, 2497.11s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:49> Block 231 of 565 complete - 40.88 % - created peptides 162,098 \n" + "2022-03-27 06:54:33> Block 231 of 565 complete - 40.88 % - created peptides 162,098 - total peptides 38,247,948 \n" ] }, { @@ -19567,14 +19541,14 @@ "text": [ "\n", "\n", - " 41%|██████████████████████████▌ | 0.4088495575221239/1 [25:40<24:18, 2466.99s/it]\u001b[A\u001b[A" + " 41%|██████████████████████████▌ | 0.4088495575221239/1 [25:51<29:53, 3033.85s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:52:53> Block 232 of 565 complete - 41.06 % - created peptides 119,000 \n" + "2022-03-27 06:54:41> Block 232 of 565 complete - 41.06 % - created peptides 119,000 - total peptides 38,366,948 \n" ] }, { @@ -19583,14 +19557,14 @@ "text": [ "\n", "\n", - " 41%|██████████████████████████▎ | 0.41061946902654867/1 [25:47<29:14, 2977.48s/it]\u001b[A\u001b[A" + " 41%|██████████████████████████▎ | 0.41061946902654867/1 [25:55<27:27, 2794.73s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:00> Block 233 of 565 complete - 41.24 % - created peptides 186,366 \n" + "2022-03-27 06:54:45> Block 233 of 565 complete - 41.24 % - created peptides 133,630 - total peptides 38,500,578 \n" ] }, { @@ -19599,14 +19573,14 @@ "text": [ "\n", "\n", - " 41%|██████████████████████████▍ | 0.41238938053097346/1 [25:51<27:04, 2764.36s/it]\u001b[A\u001b[A" + " 41%|██████████████████████████▍ | 0.41238938053097346/1 [25:59<25:44, 2627.77s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:04> Block 234 of 565 complete - 41.42 % - created peptides 133,630 \n" + "2022-03-27 06:54:49> Block 234 of 565 complete - 41.42 % - created peptides 186,366 - total peptides 38,686,944 \n" ] }, { @@ -19615,14 +19589,14 @@ "text": [ "\n", "\n", - " 41%|██████████████████████████▌ | 0.41415929203539825/1 [25:55<25:21, 2597.92s/it]\u001b[A\u001b[A" + " 41%|██████████████████████████▌ | 0.41415929203539825/1 [26:03<24:33, 2515.28s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:08> Block 235 of 565 complete - 41.59 % - created peptides 175,788 \n" + "2022-03-27 06:54:53> Block 235 of 565 complete - 41.59 % - created peptides 175,788 - total peptides 38,862,732 \n" ] }, { @@ -19631,14 +19605,14 @@ "text": [ "\n", "\n", - " 42%|███████████████████████████▍ | 0.415929203539823/1 [25:59<24:11, 2485.33s/it]\u001b[A\u001b[A" + " 42%|███████████████████████████▍ | 0.415929203539823/1 [26:10<29:44, 3055.95s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:12> Block 236 of 565 complete - 41.77 % - created peptides 197,878 \n" + "2022-03-27 06:55:00> Block 236 of 565 complete - 41.77 % - created peptides 146,930 - total peptides 39,009,662 \n" ] }, { @@ -19647,14 +19621,14 @@ "text": [ "\n", "\n", - " 42%|███████████████████████████▏ | 0.4176991150442478/1 [26:07<29:14, 3012.25s/it]\u001b[A\u001b[A" + " 42%|███████████████████████████▏ | 0.4176991150442478/1 [26:14<27:18, 2814.61s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:20> Block 237 of 565 complete - 41.95 % - created peptides 174,374 \n" + "2022-03-27 06:55:04> Block 237 of 565 complete - 41.95 % - created peptides 197,878 - total peptides 39,207,540 \n" ] }, { @@ -19663,14 +19637,14 @@ "text": [ "\n", "\n", - " 42%|███████████████████████████▎ | 0.4194690265486726/1 [26:11<26:54, 2780.26s/it]\u001b[A\u001b[A" + " 42%|███████████████████████████▎ | 0.4194690265486726/1 [26:18<25:36, 2646.85s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:24> Block 238 of 565 complete - 42.12 % - created peptides 133,750 \n" + "2022-03-27 06:55:08> Block 238 of 565 complete - 42.12 % - created peptides 133,750 - total peptides 39,341,290 \n" ] }, { @@ -19679,14 +19653,14 @@ "text": [ "\n", "\n", - " 42%|██████████████████████████▉ | 0.42123893805309737/1 [26:15<25:13, 2615.13s/it]\u001b[A\u001b[A" + " 42%|██████████████████████████▉ | 0.42123893805309737/1 [26:22<24:21, 2525.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:28> Block 239 of 565 complete - 42.30 % - created peptides 146,930 \n" + "2022-03-27 06:55:12> Block 239 of 565 complete - 42.30 % - created peptides 174,374 - total peptides 39,515,664 \n" ] }, { @@ -19695,14 +19669,14 @@ "text": [ "\n", "\n", - " 42%|███████████████████████████▍ | 0.4230088495575221/1 [26:19<24:00, 2495.93s/it]\u001b[A\u001b[A" + " 42%|███████████████████████████▍ | 0.4230088495575221/1 [26:26<23:30, 2443.82s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:32> Block 240 of 565 complete - 42.48 % - created peptides 179,874 \n" + "2022-03-27 06:55:16> Block 240 of 565 complete - 42.48 % - created peptides 179,874 - total peptides 39,695,538 \n" ] }, { @@ -19711,14 +19685,14 @@ "text": [ "\n", "\n", - " 42%|███████████████████████████▌ | 0.4247787610619469/1 [26:23<23:13, 2422.99s/it]\u001b[A\u001b[A" + " 42%|███████████████████████████▌ | 0.4247787610619469/1 [26:34<28:22, 2960.12s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:36> Block 241 of 565 complete - 42.65 % - created peptides 148,378 \n" + "2022-03-27 06:55:24> Block 241 of 565 complete - 42.65 % - created peptides 148,378 - total peptides 39,843,916 \n" ] }, { @@ -19727,14 +19701,14 @@ "text": [ "\n", "\n", - " 43%|███████████████████████████▋ | 0.4265486725663717/1 [26:30<27:50, 2912.87s/it]\u001b[A\u001b[A" + " 43%|███████████████████████████▋ | 0.4265486725663717/1 [26:38<26:16, 2748.41s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:43> Block 242 of 565 complete - 42.83 % - created peptides 175,918 \n" + "2022-03-27 06:55:28> Block 242 of 565 complete - 42.83 % - created peptides 175,918 - total peptides 40,019,834 \n" ] }, { @@ -19743,14 +19717,14 @@ "text": [ "\n", "\n", - " 43%|███████████████████████████▊ | 0.4283185840707965/1 [26:34<25:52, 2715.29s/it]\u001b[A\u001b[A" + " 43%|███████████████████████████▊ | 0.4283185840707965/1 [26:42<24:46, 2600.70s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:47> Block 243 of 565 complete - 43.01 % - created peptides 170,828 \n" + "2022-03-27 06:55:32> Block 243 of 565 complete - 43.01 % - created peptides 170,828 - total peptides 40,190,662 \n" ] }, { @@ -19759,14 +19733,14 @@ "text": [ "\n", "\n", - " 43%|███████████████████████████▉ | 0.4300884955752212/1 [26:38<24:27, 2575.49s/it]\u001b[A\u001b[A" + " 43%|███████████████████████████▉ | 0.4300884955752212/1 [26:46<23:45, 2502.06s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:51> Block 244 of 565 complete - 43.19 % - created peptides 172,706 \n" + "2022-03-27 06:55:36> Block 244 of 565 complete - 43.19 % - created peptides 172,706 - total peptides 40,363,368 \n" ] }, { @@ -19775,14 +19749,14 @@ "text": [ "\n", "\n", - " 43%|████████████████████████████▌ | 0.431858407079646/1 [26:42<23:23, 2470.98s/it]\u001b[A\u001b[A" + " 43%|████████████████████████████▌ | 0.431858407079646/1 [26:53<28:27, 3005.85s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:53:55> Block 245 of 565 complete - 43.36 % - created peptides 153,218 \n" + "2022-03-27 06:55:43> Block 245 of 565 complete - 43.36 % - created peptides 153,218 - total peptides 40,516,586 \n" ] }, { @@ -19791,14 +19765,14 @@ "text": [ "\n", "\n", - " 43%|████████████████████████████▏ | 0.4336283185840708/1 [26:49<27:49, 2948.32s/it]\u001b[A\u001b[A" + " 43%|████████████████████████████▏ | 0.4336283185840708/1 [26:57<26:16, 2784.09s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:02> Block 246 of 565 complete - 43.54 % - created peptides 220,544 \n" + "2022-03-27 06:55:47> Block 246 of 565 complete - 43.54 % - created peptides 186,738 - total peptides 40,703,324 \n" ] }, { @@ -19807,14 +19781,14 @@ "text": [ "\n", "\n", - " 44%|████████████████████████████▎ | 0.4353982300884956/1 [26:53<25:54, 2753.64s/it]\u001b[A\u001b[A" + " 44%|████████████████████████████▎ | 0.4353982300884956/1 [27:01<24:46, 2632.34s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:06> Block 247 of 565 complete - 43.72 % - created peptides 186,738 \n" + "2022-03-27 06:55:51> Block 247 of 565 complete - 43.72 % - created peptides 164,484 - total peptides 40,867,808 \n" ] }, { @@ -19823,14 +19797,14 @@ "text": [ "\n", "\n", - " 44%|███████████████████████████▉ | 0.43716814159292033/1 [26:57<24:26, 2606.13s/it]\u001b[A\u001b[A" + " 44%|███████████████████████████▉ | 0.43716814159292033/1 [27:05<23:40, 2523.51s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:10> Block 248 of 565 complete - 43.89 % - created peptides 164,484 \n" + "2022-03-27 06:55:55> Block 248 of 565 complete - 43.89 % - created peptides 220,544 - total peptides 41,088,352 \n" ] }, { @@ -19839,14 +19813,14 @@ "text": [ "\n", "\n", - " 44%|████████████████████████████▌ | 0.4389380530973451/1 [27:04<28:55, 3093.80s/it]\u001b[A\u001b[A" + " 44%|████████████████████████████▌ | 0.4389380530973451/1 [27:12<28:13, 3017.98s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:17> Block 249 of 565 complete - 44.07 % - created peptides 159,180 \n" + "2022-03-27 06:56:03> Block 249 of 565 complete - 44.07 % - created peptides 159,180 - total peptides 41,247,532 \n" ] }, { @@ -19855,14 +19829,14 @@ "text": [ "\n", "\n", - " 44%|████████████████████████████▋ | 0.4407079646017699/1 [27:08<26:28, 2840.32s/it]\u001b[A\u001b[A" + " 44%|████████████████████████████▋ | 0.4407079646017699/1 [27:17<26:04, 2797.19s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:21> Block 250 of 565 complete - 44.25 % - created peptides 155,840 \n" + "2022-03-27 06:56:07> Block 250 of 565 complete - 44.25 % - created peptides 155,840 - total peptides 41,403,372 \n" ] }, { @@ -19871,14 +19845,14 @@ "text": [ "\n", "\n", - " 44%|████████████████████████████▊ | 0.4424778761061947/1 [27:12<24:44, 2662.00s/it]\u001b[A\u001b[A" + " 44%|████████████████████████████▊ | 0.4424778761061947/1 [27:21<24:32, 2641.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:25> Block 251 of 565 complete - 44.42 % - created peptides 165,146 \n" + "2022-03-27 06:56:11> Block 251 of 565 complete - 44.42 % - created peptides 143,908 - total peptides 41,547,280 \n" ] }, { @@ -19887,14 +19861,14 @@ "text": [ "\n", "\n", - " 44%|████████████████████████████▍ | 0.44424778761061945/1 [27:16<23:31, 2538.94s/it]\u001b[A\u001b[A" + " 44%|████████████████████████████▍ | 0.44424778761061945/1 [27:25<23:23, 2525.40s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:29> Block 252 of 565 complete - 44.60 % - created peptides 143,908 \n" + "2022-03-27 06:56:15> Block 252 of 565 complete - 44.60 % - created peptides 165,146 - total peptides 41,712,426 \n" ] }, { @@ -19903,14 +19877,14 @@ "text": [ "\n", "\n", - " 45%|████████████████████████████▌ | 0.44601769911504424/1 [27:20<22:37, 2451.00s/it]\u001b[A\u001b[A" + " 45%|████████████████████████████▌ | 0.44601769911504424/1 [27:32<27:49, 3014.39s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:33> Block 253 of 565 complete - 44.78 % - created peptides 148,450 \n" + "2022-03-27 06:56:22> Block 253 of 565 complete - 44.78 % - created peptides 166,356 - total peptides 41,878,782 \n" ] }, { @@ -19919,14 +19893,14 @@ "text": [ "\n", "\n", - " 45%|████████████████████████████▋ | 0.44778761061946903/1 [27:28<26:57, 2929.84s/it]\u001b[A\u001b[A" + " 45%|████████████████████████████▋ | 0.44778761061946903/1 [27:36<25:42, 2792.50s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:40> Block 254 of 565 complete - 44.96 % - created peptides 166,356 \n" + "2022-03-27 06:56:26> Block 254 of 565 complete - 44.96 % - created peptides 148,450 - total peptides 42,027,232 \n" ] }, { @@ -19935,14 +19909,14 @@ "text": [ "\n", "\n", - " 45%|█████████████████████████████▏ | 0.4495575221238938/1 [27:32<25:01, 2728.67s/it]\u001b[A\u001b[A" + " 45%|█████████████████████████████▏ | 0.4495575221238938/1 [27:40<24:14, 2642.16s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:44> Block 255 of 565 complete - 45.13 % - created peptides 184,140 \n" + "2022-03-27 06:56:30> Block 255 of 565 complete - 45.13 % - created peptides 184,140 - total peptides 42,211,372 \n" ] }, { @@ -19951,14 +19925,14 @@ "text": [ "\n", "\n", - " 45%|████████████████████████████▉ | 0.45132743362831856/1 [27:36<23:44, 2596.21s/it]\u001b[A\u001b[A" + " 45%|████████████████████████████▉ | 0.45132743362831856/1 [27:44<23:10, 2533.69s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:49> Block 256 of 565 complete - 45.31 % - created peptides 162,624 \n" + "2022-03-27 06:56:34> Block 256 of 565 complete - 45.31 % - created peptides 162,624 - total peptides 42,373,996 \n" ] }, { @@ -19967,14 +19941,14 @@ "text": [ "\n", "\n", - " 45%|████████████████████████████▉ | 0.45309734513274336/1 [27:43<28:13, 3096.78s/it]\u001b[A\u001b[A" + " 45%|████████████████████████████▉ | 0.45309734513274336/1 [27:51<27:28, 3014.57s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:54:56> Block 257 of 565 complete - 45.49 % - created peptides 164,788 \n" + "2022-03-27 06:56:41> Block 257 of 565 complete - 45.49 % - created peptides 164,788 - total peptides 42,538,784 \n" ] }, { @@ -19983,14 +19957,14 @@ "text": [ "\n", "\n", - " 45%|█████████████████████████████ | 0.45486725663716815/1 [27:47<25:55, 2853.25s/it]\u001b[A\u001b[A" + " 45%|█████████████████████████████ | 0.45486725663716815/1 [27:55<25:28, 2803.95s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:00> Block 258 of 565 complete - 45.66 % - created peptides 187,798 \n" + "2022-03-27 06:56:45> Block 258 of 565 complete - 45.66 % - created peptides 187,798 - total peptides 42,726,582 \n" ] }, { @@ -19999,14 +19973,14 @@ "text": [ "\n", "\n", - " 46%|█████████████████████████████▏ | 0.45663716814159294/1 [27:51<24:21, 2688.90s/it]\u001b[A\u001b[A" + " 46%|█████████████████████████████▏ | 0.45663716814159294/1 [27:59<24:02, 2655.06s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:04> Block 259 of 565 complete - 45.84 % - created peptides 160,512 \n" + "2022-03-27 06:56:50> Block 259 of 565 complete - 45.84 % - created peptides 163,532 - total peptides 42,890,114 \n" ] }, { @@ -20015,14 +19989,14 @@ "text": [ "\n", "\n", - " 46%|█████████████████████████████▊ | 0.4584070796460177/1 [27:55<23:08, 2563.48s/it]\u001b[A\u001b[A" + " 46%|█████████████████████████████▊ | 0.4584070796460177/1 [28:04<22:57, 2543.89s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:08> Block 260 of 565 complete - 46.02 % - created peptides 163,532 \n" + "2022-03-27 06:56:54> Block 260 of 565 complete - 46.02 % - created peptides 174,324 - total peptides 43,064,438 \n" ] }, { @@ -20031,14 +20005,14 @@ "text": [ "\n", "\n", - " 46%|█████████████████████████████▍ | 0.46017699115044247/1 [28:03<27:31, 3058.67s/it]\u001b[A\u001b[A" + " 46%|█████████████████████████████▍ | 0.46017699115044247/1 [28:11<27:04, 3008.89s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:16> Block 261 of 565 complete - 46.19 % - created peptides 187,946 \n" + "2022-03-27 06:57:01> Block 261 of 565 complete - 46.19 % - created peptides 154,130 - total peptides 43,218,568 \n" ] }, { @@ -20047,14 +20021,14 @@ "text": [ "\n", "\n", - " 46%|█████████████████████████████▌ | 0.46194690265486726/1 [28:07<25:21, 2826.95s/it]\u001b[A\u001b[A" + " 46%|█████████████████████████████▌ | 0.46194690265486726/1 [28:15<25:01, 2790.36s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:20> Block 262 of 565 complete - 46.37 % - created peptides 174,324 \n" + "2022-03-27 06:57:05> Block 262 of 565 complete - 46.37 % - created peptides 147,988 - total peptides 43,366,556 \n" ] }, { @@ -20063,14 +20037,14 @@ "text": [ "\n", "\n", - " 46%|█████████████████████████████▋ | 0.46371681415929206/1 [28:11<23:48, 2662.91s/it]\u001b[A\u001b[A" + " 46%|█████████████████████████████▋ | 0.46371681415929206/1 [28:19<23:36, 2642.22s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:24> Block 263 of 565 complete - 46.55 % - created peptides 154,130 \n" + "2022-03-27 06:57:09> Block 263 of 565 complete - 46.55 % - created peptides 160,512 - total peptides 43,527,068 \n" ] }, { @@ -20079,14 +20053,14 @@ "text": [ "\n", "\n", - " 47%|██████████████████████████████▎ | 0.4654867256637168/1 [28:15<22:40, 2544.87s/it]\u001b[A\u001b[A" + " 47%|██████████████████████████████▎ | 0.4654867256637168/1 [28:26<27:49, 3123.25s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:28> Block 264 of 565 complete - 46.73 % - created peptides 176,564 \n" + "2022-03-27 06:57:16> Block 264 of 565 complete - 46.73 % - created peptides 176,564 - total peptides 43,703,632 \n" ] }, { @@ -20095,14 +20069,14 @@ "text": [ "\n", "\n", - " 47%|██████████████████████████████▎ | 0.4672566371681416/1 [28:22<27:03, 3047.20s/it]\u001b[A\u001b[A" + " 47%|██████████████████████████████▎ | 0.4672566371681416/1 [28:30<25:33, 2878.63s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:35> Block 265 of 565 complete - 46.90 % - created peptides 147,988 \n" + "2022-03-27 06:57:21> Block 265 of 565 complete - 46.90 % - created peptides 187,946 - total peptides 43,891,578 \n" ] }, { @@ -20111,14 +20085,14 @@ "text": [ "\n", "\n", - " 47%|██████████████████████████████▍ | 0.4690265486725664/1 [28:26<24:55, 2816.21s/it]\u001b[A\u001b[A" + " 47%|██████████████████████████████▍ | 0.4690265486725664/1 [28:35<23:59, 2710.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:39> Block 266 of 565 complete - 47.08 % - created peptides 187,416 \n" + "2022-03-27 06:57:25> Block 266 of 565 complete - 47.08 % - created peptides 161,400 - total peptides 44,052,978 \n" ] }, { @@ -20127,14 +20101,14 @@ "text": [ "\n", "\n", - " 47%|██████████████████████████████▏ | 0.47079646017699117/1 [28:30<23:27, 2658.99s/it]\u001b[A\u001b[A" + " 47%|██████████████████████████████▏ | 0.47079646017699117/1 [28:39<22:48, 2586.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:43> Block 267 of 565 complete - 47.26 % - created peptides 161,400 \n" + "2022-03-27 06:57:29> Block 267 of 565 complete - 47.26 % - created peptides 187,416 - total peptides 44,240,394 \n" ] }, { @@ -20143,14 +20117,14 @@ "text": [ "\n", "\n", - " 47%|██████████████████████████████▋ | 0.4725663716814159/1 [28:34<22:22, 2545.59s/it]\u001b[A\u001b[A" + " 47%|██████████████████████████████▋ | 0.4725663716814159/1 [28:46<27:05, 3081.39s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:47> Block 268 of 565 complete - 47.43 % - created peptides 161,424 \n" + "2022-03-27 06:57:36> Block 268 of 565 complete - 47.43 % - created peptides 157,934 - total peptides 44,398,328 \n" ] }, { @@ -20159,14 +20133,14 @@ "text": [ "\n", "\n", - " 47%|██████████████████████████████▊ | 0.4743362831858407/1 [28:42<26:41, 3046.16s/it]\u001b[A\u001b[A" + " 47%|██████████████████████████████▊ | 0.4743362831858407/1 [28:50<24:59, 2851.71s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:55> Block 269 of 565 complete - 47.61 % - created peptides 157,934 \n" + "2022-03-27 06:57:40> Block 269 of 565 complete - 47.61 % - created peptides 161,424 - total peptides 44,559,752 \n" ] }, { @@ -20175,14 +20149,14 @@ "text": [ "\n", "\n", - " 48%|██████████████████████████████▉ | 0.4761061946902655/1 [28:46<24:36, 2818.28s/it]\u001b[A\u001b[A" + " 48%|██████████████████████████████▉ | 0.4761061946902655/1 [28:54<23:26, 2685.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:55:59> Block 270 of 565 complete - 47.79 % - created peptides 180,830 \n" + "2022-03-27 06:57:44> Block 270 of 565 complete - 47.79 % - created peptides 175,630 - total peptides 44,735,382 \n" ] }, { @@ -20191,14 +20165,14 @@ "text": [ "\n", "\n", - " 48%|███████████████████████████████ | 0.4778761061946903/1 [28:50<23:09, 2661.94s/it]\u001b[A\u001b[A" + " 48%|███████████████████████████████ | 0.4778761061946903/1 [28:58<22:24, 2574.12s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:03> Block 271 of 565 complete - 47.96 % - created peptides 175,630 \n" + "2022-03-27 06:57:48> Block 271 of 565 complete - 47.96 % - created peptides 163,458 - total peptides 44,898,840 \n" ] }, { @@ -20207,14 +20181,14 @@ "text": [ "\n", "\n", - " 48%|███████████████████████████████▋ | 0.479646017699115/1 [28:54<22:08, 2553.05s/it]\u001b[A\u001b[A" + " 48%|███████████████████████████████▋ | 0.479646017699115/1 [29:06<26:32, 3061.36s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:07> Block 272 of 565 complete - 48.14 % - created peptides 163,458 \n" + "2022-03-27 06:57:56> Block 272 of 565 complete - 48.14 % - created peptides 180,830 - total peptides 45,079,670 \n" ] }, { @@ -20223,14 +20197,14 @@ "text": [ "\n", "\n", - " 48%|███████████████████████████████▎ | 0.4814159292035398/1 [29:01<26:12, 3032.50s/it]\u001b[A\u001b[A" + " 48%|███████████████████████████████▎ | 0.4814159292035398/1 [29:10<24:31, 2838.32s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:14> Block 273 of 565 complete - 48.32 % - created peptides 165,406 \n" + "2022-03-27 06:58:00> Block 273 of 565 complete - 48.32 % - created peptides 176,698 - total peptides 45,256,368 \n" ] }, { @@ -20239,14 +20213,14 @@ "text": [ "\n", "\n", - " 48%|███████████████████████████████▍ | 0.4831858407079646/1 [29:06<24:13, 2811.84s/it]\u001b[A\u001b[A" + " 48%|███████████████████████████████▍ | 0.4831858407079646/1 [29:14<23:08, 2687.49s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:18> Block 274 of 565 complete - 48.50 % - created peptides 176,698 \n" + "2022-03-27 06:58:04> Block 274 of 565 complete - 48.50 % - created peptides 165,406 - total peptides 45,421,774 \n" ] }, { @@ -20255,14 +20229,14 @@ "text": [ "\n", "\n", - " 48%|███████████████████████████████▌ | 0.4849557522123894/1 [29:10<22:49, 2658.36s/it]\u001b[A\u001b[A" + " 48%|███████████████████████████████▌ | 0.4849557522123894/1 [29:18<22:09, 2580.73s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:22> Block 275 of 565 complete - 48.67 % - created peptides 166,234 \n" + "2022-03-27 06:58:08> Block 275 of 565 complete - 48.67 % - created peptides 166,234 - total peptides 45,588,008 \n" ] }, { @@ -20271,14 +20245,14 @@ "text": [ "\n", "\n", - " 49%|███████████████████████████████▏ | 0.48672566371681414/1 [29:14<21:51, 2554.22s/it]\u001b[A\u001b[A" + " 49%|███████████████████████████████▏ | 0.48672566371681414/1 [29:26<26:07, 3054.11s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:27> Block 276 of 565 complete - 48.85 % - created peptides 180,032 \n" + "2022-03-27 06:58:16> Block 276 of 565 complete - 48.85 % - created peptides 180,032 - total peptides 45,768,040 \n" ] }, { @@ -20287,14 +20261,14 @@ "text": [ "\n", "\n", - " 49%|███████████████████████████████▎ | 0.48849557522123893/1 [29:21<25:44, 3019.14s/it]\u001b[A\u001b[A" + " 49%|███████████████████████████████▎ | 0.48849557522123893/1 [29:30<24:12, 2839.80s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:34> Block 277 of 565 complete - 49.03 % - created peptides 180,046 \n" + "2022-03-27 06:58:20> Block 277 of 565 complete - 49.03 % - created peptides 162,542 - total peptides 45,930,582 \n" ] }, { @@ -20303,14 +20277,14 @@ "text": [ "\n", "\n", - " 49%|███████████████████████████████▊ | 0.4902654867256637/1 [29:25<23:55, 2815.35s/it]\u001b[A\u001b[A" + " 49%|███████████████████████████████▊ | 0.4902654867256637/1 [29:34<22:49, 2687.19s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:38> Block 278 of 565 complete - 49.20 % - created peptides 162,542 \n" + "2022-03-27 06:58:24> Block 278 of 565 complete - 49.20 % - created peptides 180,046 - total peptides 46,110,628 \n" ] }, { @@ -20319,14 +20293,14 @@ "text": [ "\n", "\n", - " 49%|███████████████████████████████▉ | 0.4920353982300885/1 [29:29<22:33, 2663.63s/it]\u001b[A\u001b[A" + " 49%|███████████████████████████████▉ | 0.4920353982300885/1 [29:38<21:52, 2583.53s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:42> Block 279 of 565 complete - 49.38 % - created peptides 178,046 \n" + "2022-03-27 06:58:28> Block 279 of 565 complete - 49.38 % - created peptides 173,486 - total peptides 46,284,114 \n" ] }, { @@ -20335,14 +20309,14 @@ "text": [ "\n", "\n", - " 49%|███████████████████████████████▌ | 0.49380530973451325/1 [29:33<21:35, 2559.23s/it]\u001b[A\u001b[A" + " 49%|███████████████████████████████▌ | 0.49380530973451325/1 [29:45<25:36, 3035.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:46> Block 280 of 565 complete - 49.56 % - created peptides 173,486 \n" + "2022-03-27 06:58:35> Block 280 of 565 complete - 49.56 % - created peptides 178,046 - total peptides 46,462,160 \n" ] }, { @@ -20351,14 +20325,14 @@ "text": [ "\n", "\n", - " 50%|███████████████████████████████▋ | 0.49557522123893805/1 [29:40<25:12, 2999.08s/it]\u001b[A\u001b[A" + " 50%|███████████████████████████████▋ | 0.49557522123893805/1 [29:49<23:49, 2833.60s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:53> Block 281 of 565 complete - 49.73 % - created peptides 166,848 \n" + "2022-03-27 06:58:39> Block 281 of 565 complete - 49.73 % - created peptides 182,582 - total peptides 46,644,742 \n" ] }, { @@ -20367,14 +20341,14 @@ "text": [ "\n", "\n", - " 50%|███████████████████████████████▊ | 0.49734513274336284/1 [29:45<23:30, 2807.00s/it]\u001b[A\u001b[A" + " 50%|███████████████████████████████▊ | 0.49734513274336284/1 [29:54<22:33, 2693.22s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:56:57> Block 282 of 565 complete - 49.91 % - created peptides 182,582 \n" + "2022-03-27 06:58:44> Block 282 of 565 complete - 49.91 % - created peptides 166,848 - total peptides 46,811,590 \n" ] }, { @@ -20383,14 +20357,14 @@ "text": [ "\n", "\n", - " 50%|███████████████████████████████▉ | 0.49911504424778763/1 [29:49<22:18, 2672.15s/it]\u001b[A\u001b[A" + " 50%|███████████████████████████████▉ | 0.49911504424778763/1 [30:01<26:19, 3153.86s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:02> Block 283 of 565 complete - 50.09 % - created peptides 170,362 \n" + "2022-03-27 06:58:51> Block 283 of 565 complete - 50.09 % - created peptides 170,362 - total peptides 46,981,952 \n" ] }, { @@ -20399,14 +20373,14 @@ "text": [ "\n", "\n", - " 50%|████████████████████████████████▌ | 0.5008849557522124/1 [29:56<26:10, 3145.88s/it]\u001b[A\u001b[A" + " 50%|████████████████████████████████▌ | 0.5008849557522124/1 [30:05<24:12, 2909.86s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:09> Block 284 of 565 complete - 50.27 % - created peptides 165,924 \n" + "2022-03-27 06:58:55> Block 284 of 565 complete - 50.27 % - created peptides 164,216 - total peptides 47,146,168 \n" ] }, { @@ -20415,14 +20389,14 @@ "text": [ "\n", "\n", - " 50%|████████████████████████████████▋ | 0.5026548672566372/1 [30:00<24:01, 2898.57s/it]\u001b[A\u001b[A" + " 50%|████████████████████████████████▋ | 0.5026548672566372/1 [30:09<22:41, 2738.15s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:13> Block 285 of 565 complete - 50.44 % - created peptides 164,216 \n" + "2022-03-27 06:58:59> Block 285 of 565 complete - 50.44 % - created peptides 165,924 - total peptides 47,312,092 \n" ] }, { @@ -20431,14 +20405,14 @@ "text": [ "\n", "\n", - " 50%|█████████████████████████████████▎ | 0.504424778761062/1 [30:04<22:31, 2727.46s/it]\u001b[A\u001b[A" + " 50%|█████████████████████████████████▎ | 0.504424778761062/1 [30:13<21:37, 2617.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:17> Block 286 of 565 complete - 50.62 % - created peptides 182,556 \n" + "2022-03-27 06:59:04> Block 286 of 565 complete - 50.62 % - created peptides 184,948 - total peptides 47,497,040 \n" ] }, { @@ -20447,14 +20421,14 @@ "text": [ "\n", "\n", - " 51%|████████████████████████████████▉ | 0.5061946902654867/1 [30:09<21:28, 2608.86s/it]\u001b[A\u001b[A" + " 51%|████████████████████████████████▉ | 0.5061946902654867/1 [30:21<25:15, 3068.30s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:22> Block 287 of 565 complete - 50.80 % - created peptides 184,948 \n" + "2022-03-27 06:59:11> Block 287 of 565 complete - 50.80 % - created peptides 182,556 - total peptides 47,679,596 \n" ] }, { @@ -20463,14 +20437,14 @@ "text": [ "\n", "\n", - " 51%|█████████████████████████████████ | 0.5079646017699115/1 [30:16<25:00, 3050.35s/it]\u001b[A\u001b[A" + " 51%|█████████████████████████████████ | 0.5079646017699115/1 [30:25<23:26, 2857.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:29> Block 288 of 565 complete - 50.97 % - created peptides 188,464 \n" + "2022-03-27 06:59:15> Block 288 of 565 complete - 50.97 % - created peptides 188,464 - total peptides 47,868,060 \n" ] }, { @@ -20479,14 +20453,14 @@ "text": [ "\n", "\n", - " 51%|█████████████████████████████████▏ | 0.5097345132743363/1 [30:20<23:11, 2838.56s/it]\u001b[A\u001b[A" + " 51%|█████████████████████████████████▏ | 0.5097345132743363/1 [30:29<22:08, 2710.49s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:33> Block 289 of 565 complete - 51.15 % - created peptides 181,712 \n" + "2022-03-27 06:59:19> Block 289 of 565 complete - 51.15 % - created peptides 164,938 - total peptides 48,032,998 \n" ] }, { @@ -20495,14 +20469,14 @@ "text": [ "\n", "\n", - " 51%|█████████████████████████████████▊ | 0.511504424778761/1 [30:24<21:55, 2692.60s/it]\u001b[A\u001b[A" + " 51%|█████████████████████████████████▊ | 0.511504424778761/1 [30:37<25:42, 3157.38s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:37> Block 290 of 565 complete - 51.33 % - created peptides 164,938 \n" + "2022-03-27 06:59:27> Block 290 of 565 complete - 51.33 % - created peptides 181,712 - total peptides 48,214,710 \n" ] }, { @@ -20511,14 +20485,14 @@ "text": [ "\n", "\n", - " 51%|█████████████████████████████████▎ | 0.5132743362831859/1 [30:28<20:58, 2586.40s/it]\u001b[A\u001b[A" + " 51%|█████████████████████████████████▎ | 0.5132743362831859/1 [30:41<23:41, 2920.76s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:41> Block 291 of 565 complete - 51.50 % - created peptides 165,394 \n" + "2022-03-27 06:59:31> Block 291 of 565 complete - 51.50 % - created peptides 165,394 - total peptides 48,380,104 \n" ] }, { @@ -20527,14 +20501,14 @@ "text": [ "\n", "\n", - " 52%|█████████████████████████████████▍ | 0.5150442477876106/1 [30:35<24:15, 3001.05s/it]\u001b[A\u001b[A" + " 52%|█████████████████████████████████▍ | 0.5150442477876106/1 [30:45<22:13, 2750.54s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:48> Block 292 of 565 complete - 51.68 % - created peptides 165,144 \n" + "2022-03-27 06:59:35> Block 292 of 565 complete - 51.68 % - created peptides 165,144 - total peptides 48,545,248 \n" ] }, { @@ -20543,14 +20517,14 @@ "text": [ "\n", "\n", - " 52%|█████████████████████████████████▌ | 0.5168141592920354/1 [30:39<22:36, 2806.92s/it]\u001b[A\u001b[A" + " 52%|█████████████████████████████████▌ | 0.5168141592920354/1 [30:49<21:12, 2633.25s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:52> Block 293 of 565 complete - 51.86 % - created peptides 188,184 \n" + "2022-03-27 06:59:39> Block 293 of 565 complete - 51.86 % - created peptides 156,556 - total peptides 48,701,804 \n" ] }, { @@ -20559,14 +20533,14 @@ "text": [ "\n", "\n", - " 52%|█████████████████████████████████▋ | 0.5185840707964602/1 [30:44<21:27, 2674.55s/it]\u001b[A\u001b[A" + " 52%|█████████████████████████████████▋ | 0.5185840707964602/1 [30:56<24:40, 3075.54s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:57:57> Block 294 of 565 complete - 52.04 % - created peptides 156,556 \n" + "2022-03-27 06:59:46> Block 294 of 565 complete - 52.04 % - created peptides 188,184 - total peptides 48,889,988 \n" ] }, { @@ -20575,14 +20549,14 @@ "text": [ "\n", "\n", - " 52%|█████████████████████████████████▊ | 0.5203539823008849/1 [30:51<24:37, 3080.84s/it]\u001b[A\u001b[A" + " 52%|█████████████████████████████████▊ | 0.5203539823008849/1 [31:01<22:55, 2868.08s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:04> Block 295 of 565 complete - 52.21 % - created peptides 179,338 \n" + "2022-03-27 06:59:51> Block 295 of 565 complete - 52.21 % - created peptides 179,338 - total peptides 49,069,326 \n" ] }, { @@ -20591,14 +20565,14 @@ "text": [ "\n", "\n", - " 52%|█████████████████████████████████▉ | 0.5221238938053098/1 [30:55<22:48, 2864.63s/it]\u001b[A\u001b[A" + " 52%|█████████████████████████████████▉ | 0.5221238938053098/1 [31:05<21:40, 2722.03s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:08> Block 296 of 565 complete - 52.39 % - created peptides 173,302 \n" + "2022-03-27 06:59:55> Block 296 of 565 complete - 52.39 % - created peptides 173,302 - total peptides 49,242,628 \n" ] }, { @@ -20607,14 +20581,14 @@ "text": [ "\n", "\n", - " 52%|██████████████████████████████████ | 0.5238938053097345/1 [30:59<21:30, 2711.24s/it]\u001b[A\u001b[A" + " 52%|██████████████████████████████████ | 0.5238938053097345/1 [31:09<20:45, 2615.30s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:12> Block 297 of 565 complete - 52.57 % - created peptides 181,956 \n" + "2022-03-27 06:59:59> Block 297 of 565 complete - 52.57 % - created peptides 188,870 - total peptides 49,431,498 \n" ] }, { @@ -20623,14 +20597,14 @@ "text": [ "\n", "\n", - " 53%|██████████████████████████████████▏ | 0.5256637168141592/1 [31:06<24:44, 3130.02s/it]\u001b[A\u001b[A" + " 53%|██████████████████████████████████▏ | 0.5256637168141592/1 [31:16<23:58, 3032.97s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:19> Block 298 of 565 complete - 52.74 % - created peptides 188,870 \n" + "2022-03-27 07:00:06> Block 298 of 565 complete - 52.74 % - created peptides 181,956 - total peptides 49,613,454 \n" ] }, { @@ -20639,14 +20613,14 @@ "text": [ "\n", "\n", - " 53%|██████████████████████████████████▎ | 0.5274336283185841/1 [31:11<22:50, 2899.46s/it]\u001b[A\u001b[A" + " 53%|██████████████████████████████████▎ | 0.5274336283185841/1 [31:20<22:21, 2837.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:23> Block 299 of 565 complete - 52.92 % - created peptides 169,488 \n" + "2022-03-27 07:00:10> Block 299 of 565 complete - 52.92 % - created peptides 169,488 - total peptides 49,782,942 \n" ] }, { @@ -20655,14 +20629,14 @@ "text": [ "\n", "\n", - " 53%|██████████████████████████████████▍ | 0.5292035398230088/1 [31:15<21:29, 2739.29s/it]\u001b[A\u001b[A" + " 53%|██████████████████████████████████▍ | 0.5292035398230088/1 [31:25<21:12, 2702.93s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:28> Block 300 of 565 complete - 53.10 % - created peptides 176,162 \n" + "2022-03-27 07:00:15> Block 300 of 565 complete - 53.10 % - created peptides 176,162 - total peptides 49,959,104 \n" ] }, { @@ -20671,14 +20645,14 @@ "text": [ "\n", "\n", - " 53%|██████████████████████████████████▌ | 0.5309734513274337/1 [31:19<20:32, 2628.72s/it]\u001b[A\u001b[A" + " 53%|██████████████████████████████████▌ | 0.5309734513274337/1 [31:32<24:18, 3109.41s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:32> Block 301 of 565 complete - 53.27 % - created peptides 141,970 \n" + "2022-03-27 07:00:22> Block 301 of 565 complete - 53.27 % - created peptides 164,634 - total peptides 50,123,738 \n" ] }, { @@ -20687,14 +20661,14 @@ "text": [ "\n", "\n", - " 53%|██████████████████████████████████▋ | 0.5327433628318584/1 [31:26<23:35, 3029.63s/it]\u001b[A\u001b[A" + " 53%|██████████████████████████████████▋ | 0.5327433628318584/1 [31:36<22:30, 2889.46s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:39> Block 302 of 565 complete - 53.45 % - created peptides 179,786 \n" + "2022-03-27 07:00:26> Block 302 of 565 complete - 53.45 % - created peptides 141,970 - total peptides 50,265,708 \n" ] }, { @@ -20703,14 +20677,14 @@ "text": [ "\n", "\n", - " 53%|██████████████████████████████████▋ | 0.5345132743362832/1 [31:30<21:57, 2831.38s/it]\u001b[A\u001b[A" + " 53%|██████████████████████████████████▋ | 0.5345132743362832/1 [31:40<21:14, 2737.31s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:43> Block 303 of 565 complete - 53.63 % - created peptides 164,634 \n" + "2022-03-27 07:00:30> Block 303 of 565 complete - 53.63 % - created peptides 179,786 - total peptides 50,445,494 \n" ] }, { @@ -20719,14 +20693,14 @@ "text": [ "\n", "\n", - " 54%|███████████████████████████████████▍ | 0.536283185840708/1 [31:34<20:47, 2690.44s/it]\u001b[A\u001b[A" + " 54%|███████████████████████████████████▍ | 0.536283185840708/1 [31:47<24:17, 3143.98s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:47> Block 304 of 565 complete - 53.81 % - created peptides 170,556 \n" + "2022-03-27 07:00:37> Block 304 of 565 complete - 53.81 % - created peptides 170,556 - total peptides 50,616,050 \n" ] }, { @@ -20735,14 +20709,14 @@ "text": [ "\n", "\n", - " 54%|██████████████████████████████████▉ | 0.5380530973451327/1 [31:41<23:47, 3090.55s/it]\u001b[A\u001b[A" + " 54%|██████████████████████████████████▉ | 0.5380530973451327/1 [31:52<22:25, 2912.25s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:54> Block 305 of 565 complete - 53.98 % - created peptides 148,462 \n" + "2022-03-27 07:00:42> Block 305 of 565 complete - 53.98 % - created peptides 148,462 - total peptides 50,764,512 \n" ] }, { @@ -20751,14 +20725,14 @@ "text": [ "\n", "\n", - " 54%|███████████████████████████████████ | 0.5398230088495575/1 [31:46<22:02, 2874.08s/it]\u001b[A\u001b[A" + " 54%|███████████████████████████████████ | 0.5398230088495575/1 [31:56<21:08, 2757.29s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:58:59> Block 306 of 565 complete - 54.16 % - created peptides 170,908 \n" + "2022-03-27 07:00:46> Block 306 of 565 complete - 54.16 % - created peptides 170,908 - total peptides 50,935,420 \n" ] }, { @@ -20767,14 +20741,14 @@ "text": [ "\n", "\n", - " 54%|███████████████████████████████████▏ | 0.5415929203539823/1 [31:50<20:54, 2736.66s/it]\u001b[A\u001b[A" + " 54%|███████████████████████████████████▏ | 0.5415929203539823/1 [32:03<24:19, 3183.84s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:03> Block 307 of 565 complete - 54.34 % - created peptides 176,460 \n" + "2022-03-27 07:00:53> Block 307 of 565 complete - 54.34 % - created peptides 180,000 - total peptides 51,115,420 \n" ] }, { @@ -20783,14 +20757,14 @@ "text": [ "\n", "\n", - " 54%|███████████████████████████████████▎ | 0.5433628318584071/1 [31:57<23:58, 3149.92s/it]\u001b[A\u001b[A" + " 54%|███████████████████████████████████▎ | 0.5433628318584071/1 [32:07<22:25, 2947.30s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:10> Block 308 of 565 complete - 54.51 % - created peptides 180,000 \n" + "2022-03-27 07:00:58> Block 308 of 565 complete - 54.51 % - created peptides 172,792 - total peptides 51,288,212 \n" ] }, { @@ -20799,14 +20773,14 @@ "text": [ "\n", "\n", - " 55%|███████████████████████████████████▍ | 0.5451327433628319/1 [32:01<22:07, 2917.34s/it]\u001b[A\u001b[A" + " 55%|███████████████████████████████████▍ | 0.5451327433628319/1 [32:12<21:05, 2781.15s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:14> Block 309 of 565 complete - 54.69 % - created peptides 172,792 \n" + "2022-03-27 07:01:02> Block 309 of 565 complete - 54.69 % - created peptides 170,328 - total peptides 51,458,540 \n" ] }, { @@ -20815,14 +20789,14 @@ "text": [ "\n", "\n", - " 55%|███████████████████████████████████▌ | 0.5469026548672566/1 [32:06<20:48, 2756.05s/it]\u001b[A\u001b[A" + " 55%|███████████████████████████████████▌ | 0.5469026548672566/1 [32:16<20:09, 2669.61s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:19> Block 310 of 565 complete - 54.87 % - created peptides 170,328 \n" + "2022-03-27 07:01:06> Block 310 of 565 complete - 54.87 % - created peptides 176,460 - total peptides 51,635,000 \n" ] }, { @@ -20831,14 +20805,14 @@ "text": [ "\n", "\n", - " 55%|███████████████████████████████████▋ | 0.5486725663716814/1 [32:10<19:53, 2643.34s/it]\u001b[A\u001b[A" + " 55%|███████████████████████████████████▋ | 0.5486725663716814/1 [32:23<23:06, 3073.01s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:23> Block 311 of 565 complete - 55.04 % - created peptides 154,638 \n" + "2022-03-27 07:01:13> Block 311 of 565 complete - 55.04 % - created peptides 175,306 - total peptides 51,810,306 \n" ] }, { @@ -20847,14 +20821,14 @@ "text": [ "\n", "\n", - " 55%|███████████████████████████████████▊ | 0.5504424778761062/1 [32:17<22:46, 3039.81s/it]\u001b[A\u001b[A" + " 55%|███████████████████████████████████▊ | 0.5504424778761062/1 [32:27<21:34, 2880.16s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:30> Block 312 of 565 complete - 55.22 % - created peptides 175,306 \n" + "2022-03-27 07:01:17> Block 312 of 565 complete - 55.22 % - created peptides 154,638 - total peptides 51,964,944 \n" ] }, { @@ -20863,14 +20837,14 @@ "text": [ "\n", "\n", - " 55%|████████████████████████████████████▍ | 0.552212389380531/1 [32:21<21:13, 2843.35s/it]\u001b[A\u001b[A" + " 55%|████████████████████████████████████▍ | 0.552212389380531/1 [32:32<20:23, 2732.25s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:34> Block 313 of 565 complete - 55.40 % - created peptides 116,384 \n" + "2022-03-27 07:01:22> Block 313 of 565 complete - 55.40 % - created peptides 169,578 - total peptides 52,134,522 \n" ] }, { @@ -20879,14 +20853,14 @@ "text": [ "\n", "\n", - " 55%|████████████████████████████████████ | 0.5539823008849557/1 [32:25<20:03, 2698.82s/it]\u001b[A\u001b[A" + " 55%|████████████████████████████████████ | 0.5539823008849557/1 [32:39<23:11, 3118.77s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:38> Block 314 of 565 complete - 55.58 % - created peptides 116,148 \n" + "2022-03-27 07:01:29> Block 314 of 565 complete - 55.58 % - created peptides 191,162 - total peptides 52,325,684 \n" ] }, { @@ -20895,14 +20869,14 @@ "text": [ "\n", "\n", - " 56%|████████████████████████████████████ | 0.5557522123893806/1 [32:32<22:43, 3069.34s/it]\u001b[A\u001b[A" + " 56%|████████████████████████████████████ | 0.5557522123893806/1 [32:43<21:32, 2910.03s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:45> Block 315 of 565 complete - 55.75 % - created peptides 191,162 \n" + "2022-03-27 07:01:33> Block 315 of 565 complete - 55.75 % - created peptides 116,384 - total peptides 52,442,068 \n" ] }, { @@ -20911,14 +20885,14 @@ "text": [ "\n", "\n", - " 56%|████████████████████████████████████▏ | 0.5575221238938053/1 [32:36<21:09, 2869.32s/it]\u001b[A\u001b[A" + " 56%|████████████████████████████████████▏ | 0.5575221238938053/1 [32:47<20:16, 2749.79s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:49> Block 316 of 565 complete - 55.93 % - created peptides 169,578 \n" + "2022-03-27 07:01:37> Block 316 of 565 complete - 55.93 % - created peptides 116,148 - total peptides 52,558,216 \n" ] }, { @@ -20927,14 +20901,14 @@ "text": [ "\n", "\n", - " 56%|████████████████████████████████████▎ | 0.5592920353982301/1 [32:41<20:04, 2732.89s/it]\u001b[A\u001b[A" + " 56%|████████████████████████████████████▎ | 0.5592920353982301/1 [32:54<23:01, 3133.86s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 05:59:54> Block 317 of 565 complete - 56.11 % - created peptides 192,284 \n" + "2022-03-27 07:01:44> Block 317 of 565 complete - 56.11 % - created peptides 192,284 - total peptides 52,750,500 \n" ] }, { @@ -20943,14 +20917,14 @@ "text": [ "\n", "\n", - " 56%|████████████████████████████████████▍ | 0.5610619469026549/1 [32:48<22:46, 3112.32s/it]\u001b[A\u001b[A" + " 56%|████████████████████████████████████▍ | 0.5610619469026549/1 [32:59<21:20, 2916.65s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:01> Block 318 of 565 complete - 56.28 % - created peptides 175,896 \n" + "2022-03-27 07:01:49> Block 318 of 565 complete - 56.28 % - created peptides 175,896 - total peptides 52,926,396 \n" ] }, { @@ -20959,14 +20933,14 @@ "text": [ "\n", "\n", - " 56%|████████████████████████████████████▌ | 0.5628318584070796/1 [32:52<21:09, 2903.51s/it]\u001b[A\u001b[A" + " 56%|████████████████████████████████████▌ | 0.5628318584070796/1 [33:03<20:12, 2772.47s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:05> Block 319 of 565 complete - 56.46 % - created peptides 191,408 \n" + "2022-03-27 07:01:53> Block 319 of 565 complete - 56.46 % - created peptides 165,282 - total peptides 53,091,678 \n" ] }, { @@ -20975,14 +20949,14 @@ "text": [ "\n", "\n", - " 56%|████████████████████████████████████▋ | 0.5646017699115045/1 [32:56<19:58, 2753.10s/it]\u001b[A\u001b[A" + " 56%|████████████████████████████████████▋ | 0.5646017699115045/1 [33:10<22:58, 3166.13s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:09> Block 320 of 565 complete - 56.64 % - created peptides 165,282 \n" + "2022-03-27 07:02:00> Block 320 of 565 complete - 56.64 % - created peptides 191,408 - total peptides 53,283,086 \n" ] }, { @@ -20991,14 +20965,14 @@ "text": [ "\n", "\n", - " 57%|████████████████████████████████████▊ | 0.5663716814159292/1 [33:03<22:35, 3125.09s/it]\u001b[A\u001b[A" + " 57%|████████████████████████████████████▊ | 0.5663716814159292/1 [33:14<21:16, 2943.50s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:16> Block 321 of 565 complete - 56.81 % - created peptides 180,596 \n" + "2022-03-27 07:02:05> Block 321 of 565 complete - 56.81 % - created peptides 180,596 - total peptides 53,463,682 \n" ] }, { @@ -21007,14 +20981,14 @@ "text": [ "\n", "\n", - " 57%|████████████████████████████████████▉ | 0.5681415929203539/1 [33:08<20:55, 2907.25s/it]\u001b[A\u001b[A" + " 57%|████████████████████████████████████▉ | 0.5681415929203539/1 [33:19<20:03, 2785.67s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:21> Block 322 of 565 complete - 56.99 % - created peptides 173,232 \n" + "2022-03-27 07:02:09> Block 322 of 565 complete - 56.99 % - created peptides 173,232 - total peptides 53,636,914 \n" ] }, { @@ -21023,14 +20997,14 @@ "text": [ "\n", "\n", - " 57%|█████████████████████████████████████ | 0.5699115044247788/1 [33:12<19:45, 2756.21s/it]\u001b[A\u001b[A" + " 57%|█████████████████████████████████████ | 0.5699115044247788/1 [33:26<22:51, 3188.28s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:25> Block 323 of 565 complete - 57.17 % - created peptides 196,676 \n" + "2022-03-27 07:02:16> Block 323 of 565 complete - 57.17 % - created peptides 180,916 - total peptides 53,817,830 \n" ] }, { @@ -21039,14 +21013,14 @@ "text": [ "\n", "\n", - " 57%|█████████████████████████████████████▏ | 0.5716814159292035/1 [33:19<22:22, 3135.49s/it]\u001b[A\u001b[A" + " 57%|█████████████████████████████████████▏ | 0.5716814159292035/1 [33:30<21:09, 2964.82s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:32> Block 324 of 565 complete - 57.35 % - created peptides 180,916 \n" + "2022-03-27 07:02:20> Block 324 of 565 complete - 57.35 % - created peptides 196,676 - total peptides 54,014,506 \n" ] }, { @@ -21055,14 +21029,14 @@ "text": [ "\n", "\n", - " 57%|█████████████████████████████████████▎ | 0.5734513274336284/1 [33:23<20:43, 2914.19s/it]\u001b[A\u001b[A" + " 57%|█████████████████████████████████████▎ | 0.5734513274336284/1 [33:35<19:55, 2803.85s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:36> Block 325 of 565 complete - 57.52 % - created peptides 163,186 \n" + "2022-03-27 07:02:25> Block 325 of 565 complete - 57.52 % - created peptides 181,472 - total peptides 54,195,978 \n" ] }, { @@ -21071,14 +21045,14 @@ "text": [ "\n", "\n", - " 58%|█████████████████████████████████████▍ | 0.5752212389380531/1 [33:28<19:32, 2761.16s/it]\u001b[A\u001b[A" + " 58%|█████████████████████████████████████▍ | 0.5752212389380531/1 [33:39<19:02, 2690.45s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:40> Block 326 of 565 complete - 57.70 % - created peptides 171,560 \n" + "2022-03-27 07:02:29> Block 326 of 565 complete - 57.70 % - created peptides 163,186 - total peptides 54,359,164 \n" ] }, { @@ -21087,14 +21061,14 @@ "text": [ "\n", "\n", - " 58%|█████████████████████████████████████▌ | 0.5769911504424778/1 [33:35<22:11, 3146.86s/it]\u001b[A\u001b[A" + " 58%|█████████████████████████████████████▌ | 0.5769911504424778/1 [33:46<21:35, 3061.67s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:48> Block 327 of 565 complete - 57.88 % - created peptides 181,472 \n" + "2022-03-27 07:02:36> Block 327 of 565 complete - 57.88 % - created peptides 171,560 - total peptides 54,530,724 \n" ] }, { @@ -21103,14 +21077,14 @@ "text": [ "\n", "\n", - " 58%|█████████████████████████████████████▌ | 0.5787610619469027/1 [33:39<20:34, 2930.58s/it]\u001b[A\u001b[A" + " 58%|█████████████████████████████████████▌ | 0.5787610619469027/1 [33:50<20:11, 2874.99s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:52> Block 328 of 565 complete - 58.05 % - created peptides 167,256 \n" + "2022-03-27 07:02:40> Block 328 of 565 complete - 58.05 % - created peptides 167,256 - total peptides 54,697,980 \n" ] }, { @@ -21119,14 +21093,14 @@ "text": [ "\n", "\n", - " 58%|█████████████████████████████████████▋ | 0.5805309734513274/1 [33:43<19:22, 2771.28s/it]\u001b[A\u001b[A" + " 58%|█████████████████████████████████████▋ | 0.5805309734513274/1 [33:55<19:08, 2738.75s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:00:56> Block 329 of 565 complete - 58.23 % - created peptides 189,962 \n" + "2022-03-27 07:02:45> Block 329 of 565 complete - 58.23 % - created peptides 189,962 - total peptides 54,887,942 \n" ] }, { @@ -21135,14 +21109,14 @@ "text": [ "\n", "\n", - " 58%|█████████████████████████████████████▊ | 0.5823008849557522/1 [33:50<22:01, 3163.58s/it]\u001b[A\u001b[A" + " 58%|█████████████████████████████████████▊ | 0.5823008849557522/1 [34:01<21:34, 3098.50s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:03> Block 330 of 565 complete - 58.41 % - created peptides 185,706 \n" + "2022-03-27 07:02:52> Block 330 of 565 complete - 58.41 % - created peptides 185,706 - total peptides 55,073,648 \n" ] }, { @@ -21151,14 +21125,14 @@ "text": [ "\n", "\n", - " 58%|██████████████████████████████████████▌ | 0.584070796460177/1 [33:55<20:22, 2940.33s/it]\u001b[A\u001b[A" + " 58%|██████████████████████████████████████▌ | 0.584070796460177/1 [34:06<20:07, 2902.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:08> Block 331 of 565 complete - 58.58 % - created peptides 169,494 \n" + "2022-03-27 07:02:56> Block 331 of 565 complete - 58.58 % - created peptides 169,494 - total peptides 55,243,142 \n" ] }, { @@ -21167,14 +21141,14 @@ "text": [ "\n", "\n", - " 59%|██████████████████████████████████████ | 0.5858407079646017/1 [33:59<19:12, 2783.68s/it]\u001b[A\u001b[A" + " 59%|██████████████████████████████████████ | 0.5858407079646017/1 [34:13<22:29, 3257.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:12> Block 332 of 565 complete - 58.76 % - created peptides 172,384 \n" + "2022-03-27 07:03:03> Block 332 of 565 complete - 58.76 % - created peptides 172,384 - total peptides 55,415,526 \n" ] }, { @@ -21183,14 +21157,14 @@ "text": [ "\n", "\n", - " 59%|██████████████████████████████████████▏ | 0.5876106194690266/1 [34:06<21:42, 3159.56s/it]\u001b[A\u001b[A" + " 59%|██████████████████████████████████████▏ | 0.5876106194690266/1 [34:17<20:42, 3012.59s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:19> Block 333 of 565 complete - 58.94 % - created peptides 184,252 \n" + "2022-03-27 07:03:07> Block 333 of 565 complete - 58.94 % - created peptides 184,252 - total peptides 55,599,778 \n" ] }, { @@ -21199,14 +21173,14 @@ "text": [ "\n", "\n", - " 59%|██████████████████████████████████████▎ | 0.5893805309734513/1 [34:10<20:05, 2935.25s/it]\u001b[A\u001b[A" + " 59%|██████████████████████████████████████▎ | 0.5893805309734513/1 [34:22<19:25, 2838.02s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:23> Block 334 of 565 complete - 59.12 % - created peptides 188,104 \n" + "2022-03-27 07:03:12> Block 334 of 565 complete - 59.12 % - created peptides 178,572 - total peptides 55,778,350 \n" ] }, { @@ -21215,14 +21189,14 @@ "text": [ "\n", "\n", - " 59%|██████████████████████████████████████▍ | 0.5911504424778761/1 [34:15<18:56, 2780.23s/it]\u001b[A\u001b[A" + " 59%|██████████████████████████████████████▍ | 0.5911504424778761/1 [34:29<21:57, 3223.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:28> Block 335 of 565 complete - 59.29 % - created peptides 179,610 \n" + "2022-03-27 07:03:19> Block 335 of 565 complete - 59.29 % - created peptides 179,610 - total peptides 55,957,960 \n" ] }, { @@ -21231,14 +21205,14 @@ "text": [ "\n", "\n", - " 59%|██████████████████████████████████████▌ | 0.5929203539823009/1 [34:22<21:21, 3147.65s/it]\u001b[A\u001b[A" + " 59%|██████████████████████████████████████▌ | 0.5929203539823009/1 [34:33<20:15, 2985.55s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:35> Block 336 of 565 complete - 59.47 % - created peptides 178,572 \n" + "2022-03-27 07:03:23> Block 336 of 565 complete - 59.47 % - created peptides 188,104 - total peptides 56,146,064 \n" ] }, { @@ -21247,14 +21221,14 @@ "text": [ "\n", "\n", - " 59%|██████████████████████████████████████▋ | 0.5946902654867257/1 [34:26<19:47, 2928.90s/it]\u001b[A\u001b[A" + " 59%|██████████████████████████████████████▋ | 0.5946902654867257/1 [34:38<19:03, 2820.42s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:39> Block 337 of 565 complete - 59.65 % - created peptides 153,378 \n" + "2022-03-27 07:03:28> Block 337 of 565 complete - 59.65 % - created peptides 153,378 - total peptides 56,299,442 \n" ] }, { @@ -21263,14 +21237,14 @@ "text": [ "\n", "\n", - " 60%|██████████████████████████████████████▊ | 0.5964601769911504/1 [34:30<18:39, 2773.90s/it]\u001b[A\u001b[A" + " 60%|██████████████████████████████████████▊ | 0.5964601769911504/1 [34:42<18:12, 2707.64s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:43> Block 338 of 565 complete - 59.82 % - created peptides 176,548 \n" + "2022-03-27 07:03:32> Block 338 of 565 complete - 59.82 % - created peptides 176,548 - total peptides 56,475,990 \n" ] }, { @@ -21279,14 +21253,14 @@ "text": [ "\n", "\n", - " 60%|██████████████████████████████████████▉ | 0.5982300884955752/1 [34:37<21:05, 3150.80s/it]\u001b[A\u001b[A" + " 60%|██████████████████████████████████████▉ | 0.5982300884955752/1 [34:49<20:43, 3094.72s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:50> Block 339 of 565 complete - 60.00 % - created peptides 178,800 \n" + "2022-03-27 07:03:39> Block 339 of 565 complete - 60.00 % - created peptides 185,934 - total peptides 56,661,924 \n" ] }, { @@ -21295,14 +21269,14 @@ "text": [ "\n", "\n", - " 60%|████████████████████████████████████████████████ | 0.6/1 [34:42<19:34, 2935.62s/it]\u001b[A\u001b[A" + " 60%|████████████████████████████████████████████████ | 0.6/1 [34:53<19:19, 2898.79s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:55> Block 340 of 565 complete - 60.18 % - created peptides 185,934 \n" + "2022-03-27 07:03:43> Block 340 of 565 complete - 60.18 % - created peptides 178,800 - total peptides 56,840,724 \n" ] }, { @@ -21311,14 +21285,14 @@ "text": [ "\n", "\n", - " 60%|███████████████████████████████████████ | 0.6017699115044248/1 [34:46<18:28, 2782.73s/it]\u001b[A\u001b[A" + " 60%|███████████████████████████████████████ | 0.6017699115044248/1 [35:01<21:35, 3252.11s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:01:59> Block 341 of 565 complete - 60.35 % - created peptides 168,838 \n" + "2022-03-27 07:03:51> Block 341 of 565 complete - 60.35 % - created peptides 188,972 - total peptides 57,029,696 \n" ] }, { @@ -21327,14 +21301,14 @@ "text": [ "\n", "\n", - " 60%|███████████████████████████████████████▏ | 0.6035398230088496/1 [34:53<20:50, 3154.09s/it]\u001b[A\u001b[A" + " 60%|███████████████████████████████████████▏ | 0.6035398230088496/1 [35:05<19:54, 3012.52s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:06> Block 342 of 565 complete - 60.53 % - created peptides 188,972 \n" + "2022-03-27 07:03:55> Block 342 of 565 complete - 60.53 % - created peptides 173,494 - total peptides 57,203,190 \n" ] }, { @@ -21343,14 +21317,14 @@ "text": [ "\n", "\n", - " 61%|███████████████████████████████████████▎ | 0.6053097345132743/1 [34:58<19:20, 2940.04s/it]\u001b[A\u001b[A" + " 61%|███████████████████████████████████████▎ | 0.6053097345132743/1 [35:09<18:41, 2841.19s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:10> Block 343 of 565 complete - 60.71 % - created peptides 173,494 \n" + "2022-03-27 07:03:59> Block 343 of 565 complete - 60.71 % - created peptides 168,838 - total peptides 57,372,028 \n" ] }, { @@ -21359,14 +21333,14 @@ "text": [ "\n", "\n", - " 61%|███████████████████████████████████████▍ | 0.6070796460176991/1 [35:02<18:13, 2784.11s/it]\u001b[A\u001b[A" + " 61%|███████████████████████████████████████▍ | 0.6070796460176991/1 [35:16<20:54, 3191.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:15> Block 344 of 565 complete - 60.88 % - created peptides 158,722 \n" + "2022-03-27 07:04:06> Block 344 of 565 complete - 60.88 % - created peptides 158,722 - total peptides 57,530,750 \n" ] }, { @@ -21375,14 +21349,14 @@ "text": [ "\n", "\n", - " 61%|███████████████████████████████████████▌ | 0.6088495575221239/1 [35:09<20:30, 3145.21s/it]\u001b[A\u001b[A" + " 61%|███████████████████████████████████████▌ | 0.6088495575221239/1 [35:21<19:21, 2970.72s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:22> Block 345 of 565 complete - 61.06 % - created peptides 168,666 \n" + "2022-03-27 07:04:11> Block 345 of 565 complete - 61.06 % - created peptides 168,666 - total peptides 57,699,416 \n" ] }, { @@ -21391,14 +21365,14 @@ "text": [ "\n", "\n", - " 61%|███████████████████████████████████████▋ | 0.6106194690265486/1 [35:13<19:00, 2929.80s/it]\u001b[A\u001b[A" + " 61%|███████████████████████████████████████▋ | 0.6106194690265486/1 [35:25<18:16, 2816.03s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:26> Block 346 of 565 complete - 61.24 % - created peptides 158,220 \n" + "2022-03-27 07:04:15> Block 346 of 565 complete - 61.24 % - created peptides 158,220 - total peptides 57,857,636 \n" ] }, { @@ -21407,14 +21381,14 @@ "text": [ "\n", "\n", - " 61%|███████████████████████████████████████▊ | 0.6123893805309735/1 [35:17<17:57, 2778.92s/it]\u001b[A\u001b[A" + " 61%|███████████████████████████████████████▊ | 0.6123893805309735/1 [35:32<20:23, 3155.39s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:30> Block 347 of 565 complete - 61.42 % - created peptides 169,380 \n" + "2022-03-27 07:04:22> Block 347 of 565 complete - 61.42 % - created peptides 188,174 - total peptides 58,045,810 \n" ] }, { @@ -21423,14 +21397,14 @@ "text": [ "\n", "\n", - " 61%|███████████████████████████████████████▉ | 0.6141592920353982/1 [35:25<20:12, 3141.90s/it]\u001b[A\u001b[A" + " 61%|███████████████████████████████████████▉ | 0.6141592920353982/1 [35:36<18:55, 2942.86s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:37> Block 348 of 565 complete - 61.59 % - created peptides 188,174 \n" + "2022-03-27 07:04:26> Block 348 of 565 complete - 61.59 % - created peptides 169,380 - total peptides 58,215,190 \n" ] }, { @@ -21439,14 +21413,14 @@ "text": [ "\n", "\n", - " 62%|████████████████████████████████████████ | 0.6159292035398231/1 [35:29<18:46, 2932.17s/it]\u001b[A\u001b[A" + " 62%|████████████████████████████████████████ | 0.6159292035398231/1 [35:41<17:53, 2794.74s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:42> Block 349 of 565 complete - 61.77 % - created peptides 176,276 \n" + "2022-03-27 07:04:31> Block 349 of 565 complete - 61.77 % - created peptides 167,380 - total peptides 58,382,570 \n" ] }, { @@ -21455,14 +21429,14 @@ "text": [ "\n", "\n", - " 62%|████████████████████████████████████████▏ | 0.6176991150442478/1 [35:33<17:45, 2785.92s/it]\u001b[A\u001b[A" + " 62%|████████████████████████████████████████▏ | 0.6176991150442478/1 [35:48<20:07, 3157.67s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:46> Block 350 of 565 complete - 61.95 % - created peptides 167,380 \n" + "2022-03-27 07:04:38> Block 350 of 565 complete - 61.95 % - created peptides 176,276 - total peptides 58,558,846 \n" ] }, { @@ -21471,14 +21445,14 @@ "text": [ "\n", "\n", - " 62%|████████████████████████████████████████▎ | 0.6194690265486725/1 [35:40<19:48, 3124.03s/it]\u001b[A\u001b[A" + " 62%|████████████████████████████████████████▎ | 0.6194690265486725/1 [35:52<18:44, 2955.22s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:53> Block 351 of 565 complete - 62.12 % - created peptides 182,286 \n" + "2022-03-27 07:04:42> Block 351 of 565 complete - 62.12 % - created peptides 182,286 - total peptides 58,741,132 \n" ] }, { @@ -21487,14 +21461,14 @@ "text": [ "\n", "\n", - " 62%|████████████████████████████████████████▍ | 0.6212389380530974/1 [35:44<18:25, 2919.90s/it]\u001b[A\u001b[A" + " 62%|████████████████████████████████████████▍ | 0.6212389380530974/1 [35:56<17:46, 2815.50s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:02:57> Block 352 of 565 complete - 62.30 % - created peptides 192,790 \n" + "2022-03-27 07:04:47> Block 352 of 565 complete - 62.30 % - created peptides 192,790 - total peptides 58,933,922 \n" ] }, { @@ -21503,14 +21477,14 @@ "text": [ "\n", "\n", - " 62%|████████████████████████████████████████▍ | 0.6230088495575221/1 [35:49<17:28, 2781.06s/it]\u001b[A\u001b[A" + " 62%|████████████████████████████████████████▍ | 0.6230088495575221/1 [36:03<19:42, 3137.86s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:02> Block 353 of 565 complete - 62.48 % - created peptides 177,034 \n" + "2022-03-27 07:04:53> Block 353 of 565 complete - 62.48 % - created peptides 177,034 - total peptides 59,110,956 \n" ] }, { @@ -21519,14 +21493,14 @@ "text": [ "\n", "\n", - " 62%|████████████████████████████████████████▌ | 0.6247787610619469/1 [35:56<19:24, 3104.40s/it]\u001b[A\u001b[A" + " 62%|████████████████████████████████████████▌ | 0.6247787610619469/1 [36:08<18:26, 2947.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:09> Block 354 of 565 complete - 62.65 % - created peptides 178,536 \n" + "2022-03-27 07:04:58> Block 354 of 565 complete - 62.65 % - created peptides 178,536 - total peptides 59,289,492 \n" ] }, { @@ -21535,14 +21509,14 @@ "text": [ "\n", "\n", - " 63%|████████████████████████████████████████▋ | 0.6265486725663717/1 [36:00<18:05, 2906.50s/it]\u001b[A\u001b[A" + " 63%|████████████████████████████████████████▋ | 0.6265486725663717/1 [36:15<20:24, 3279.28s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:13> Block 355 of 565 complete - 62.83 % - created peptides 162,012 \n" + "2022-03-27 07:05:05> Block 355 of 565 complete - 62.83 % - created peptides 175,070 - total peptides 59,464,562 \n" ] }, { @@ -21551,14 +21525,14 @@ "text": [ "\n", "\n", - " 63%|████████████████████████████████████████▊ | 0.6283185840707964/1 [36:04<17:07, 2764.96s/it]\u001b[A\u001b[A" + " 63%|████████████████████████████████████████▊ | 0.6283185840707964/1 [36:19<18:46, 3030.47s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:17> Block 356 of 565 complete - 63.01 % - created peptides 175,070 \n" + "2022-03-27 07:05:09> Block 356 of 565 complete - 63.01 % - created peptides 162,012 - total peptides 59,626,574 \n" ] }, { @@ -21567,14 +21541,14 @@ "text": [ "\n", "\n", - " 63%|████████████████████████████████████████▉ | 0.6300884955752213/1 [36:11<18:54, 3067.15s/it]\u001b[A\u001b[A" + " 63%|████████████████████████████████████████▉ | 0.6300884955752213/1 [36:24<17:41, 2868.82s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:24> Block 357 of 565 complete - 63.19 % - created peptides 161,350 \n" + "2022-03-27 07:05:14> Block 357 of 565 complete - 63.19 % - created peptides 164,210 - total peptides 59,790,784 \n" ] }, { @@ -21583,14 +21557,14 @@ "text": [ "\n", "\n", - " 63%|█████████████████████████████████████████▋ | 0.631858407079646/1 [36:15<17:42, 2887.00s/it]\u001b[A\u001b[A" + " 63%|█████████████████████████████████████████▋ | 0.631858407079646/1 [36:31<19:40, 3206.51s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:28> Block 358 of 565 complete - 63.36 % - created peptides 157,960 \n" + "2022-03-27 07:05:21> Block 358 of 565 complete - 63.36 % - created peptides 161,350 - total peptides 59,952,134 \n" ] }, { @@ -21599,14 +21573,14 @@ "text": [ "\n", "\n", - " 63%|█████████████████████████████████████████▏ | 0.6336283185840708/1 [36:22<19:28, 3190.49s/it]\u001b[A\u001b[A" + " 63%|█████████████████████████████████████████▏ | 0.6336283185840708/1 [36:35<18:13, 2985.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:35> Block 359 of 565 complete - 63.54 % - created peptides 164,210 \n" + "2022-03-27 07:05:25> Block 359 of 565 complete - 63.54 % - created peptides 157,960 - total peptides 60,110,094 \n" ] }, { @@ -21615,14 +21589,14 @@ "text": [ "\n", "\n", - " 64%|█████████████████████████████████████████▎ | 0.6353982300884956/1 [36:27<18:01, 2965.92s/it]\u001b[A\u001b[A" + " 64%|█████████████████████████████████████████▎ | 0.6353982300884956/1 [36:40<17:10, 2825.65s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:39> Block 360 of 565 complete - 63.72 % - created peptides 186,728 \n" + "2022-03-27 07:05:30> Block 360 of 565 complete - 63.72 % - created peptides 186,728 - total peptides 60,296,822 \n" ] }, { @@ -21631,14 +21605,14 @@ "text": [ "\n", "\n", - " 64%|█████████████████████████████████████████▍ | 0.6371681415929203/1 [36:31<17:00, 2812.64s/it]\u001b[A\u001b[A" + " 64%|█████████████████████████████████████████▍ | 0.6371681415929203/1 [36:46<19:03, 3151.38s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:44> Block 361 of 565 complete - 63.89 % - created peptides 173,392 \n" + "2022-03-27 07:05:36> Block 361 of 565 complete - 63.89 % - created peptides 178,898 - total peptides 60,475,720 \n" ] }, { @@ -21647,14 +21621,14 @@ "text": [ "\n", "\n", - " 64%|█████████████████████████████████████████▌ | 0.6389380530973451/1 [36:38<18:45, 3117.36s/it]\u001b[A\u001b[A" + " 64%|█████████████████████████████████████████▌ | 0.6389380530973451/1 [36:51<17:44, 2949.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:51> Block 362 of 565 complete - 64.07 % - created peptides 178,898 \n" + "2022-03-27 07:05:41> Block 362 of 565 complete - 64.07 % - created peptides 173,392 - total peptides 60,649,112 \n" ] }, { @@ -21663,14 +21637,14 @@ "text": [ "\n", "\n", - " 64%|█████████████████████████████████████████▋ | 0.6407079646017699/1 [36:42<17:28, 2919.29s/it]\u001b[A\u001b[A" + " 64%|█████████████████████████████████████████▋ | 0.6407079646017699/1 [36:55<16:47, 2805.28s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:03:55> Block 363 of 565 complete - 64.25 % - created peptides 189,724 \n" + "2022-03-27 07:05:45> Block 363 of 565 complete - 64.25 % - created peptides 189,724 - total peptides 60,838,836 \n" ] }, { @@ -21679,14 +21653,14 @@ "text": [ "\n", "\n", - " 64%|█████████████████████████████████████████▊ | 0.6424778761061947/1 [36:49<19:15, 3230.78s/it]\u001b[A\u001b[A" + " 64%|█████████████████████████████████████████▊ | 0.6424778761061947/1 [37:02<18:31, 3108.54s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:02> Block 364 of 565 complete - 64.42 % - created peptides 177,452 \n" + "2022-03-27 07:05:52> Block 364 of 565 complete - 64.42 % - created peptides 177,452 - total peptides 61,016,288 \n" ] }, { @@ -21695,14 +21669,14 @@ "text": [ "\n", "\n", - " 64%|█████████████████████████████████████████▉ | 0.6442477876106195/1 [36:53<17:46, 2996.64s/it]\u001b[A\u001b[A" + " 64%|█████████████████████████████████████████▉ | 0.6442477876106195/1 [37:06<17:20, 2926.05s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:06> Block 365 of 565 complete - 64.60 % - created peptides 168,208 \n" + "2022-03-27 07:05:56> Block 365 of 565 complete - 64.60 % - created peptides 168,208 - total peptides 61,184,496 \n" ] }, { @@ -21711,14 +21685,14 @@ "text": [ "\n", "\n", - " 65%|█████████████████████████████████████████▉ | 0.6460176991150443/1 [36:58<16:43, 2833.70s/it]\u001b[A\u001b[A" + " 65%|█████████████████████████████████████████▉ | 0.6460176991150443/1 [37:13<18:59, 3219.94s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:11> Block 366 of 565 complete - 64.78 % - created peptides 178,448 \n" + "2022-03-27 07:06:03> Block 366 of 565 complete - 64.78 % - created peptides 188,840 - total peptides 61,373,336 \n" ] }, { @@ -21727,14 +21701,14 @@ "text": [ "\n", "\n", - " 65%|██████████████████████████████████████████▊ | 0.647787610619469/1 [37:05<18:27, 3145.32s/it]\u001b[A\u001b[A" + " 65%|██████████████████████████████████████████▊ | 0.647787610619469/1 [37:18<17:36, 2998.30s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:17> Block 367 of 565 complete - 64.96 % - created peptides 188,840 \n" + "2022-03-27 07:06:08> Block 367 of 565 complete - 64.96 % - created peptides 178,448 - total peptides 61,551,784 \n" ] }, { @@ -21743,14 +21717,14 @@ "text": [ "\n", "\n", - " 65%|██████████████████████████████████████████▏ | 0.6495575221238938/1 [37:09<17:11, 2942.60s/it]\u001b[A\u001b[A" + " 65%|██████████████████████████████████████████▏ | 0.6495575221238938/1 [37:22<16:36, 2843.21s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:22> Block 368 of 565 complete - 65.13 % - created peptides 176,578 \n" + "2022-03-27 07:06:12> Block 368 of 565 complete - 65.13 % - created peptides 176,578 - total peptides 61,728,362 \n" ] }, { @@ -21759,14 +21733,14 @@ "text": [ "\n", "\n", - " 65%|██████████████████████████████████████████▎ | 0.6513274336283186/1 [37:13<16:15, 2798.38s/it]\u001b[A\u001b[A" + " 65%|██████████████████████████████████████████▎ | 0.6513274336283186/1 [37:29<18:13, 3137.09s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:26> Block 369 of 565 complete - 65.31 % - created peptides 174,126 \n" + "2022-03-27 07:06:19> Block 369 of 565 complete - 65.31 % - created peptides 174,126 - total peptides 61,902,488 \n" ] }, { @@ -21775,14 +21749,14 @@ "text": [ "\n", "\n", - " 65%|██████████████████████████████████████████▍ | 0.6530973451327433/1 [37:20<17:51, 3089.55s/it]\u001b[A\u001b[A" + " 65%|██████████████████████████████████████████▍ | 0.6530973451327433/1 [37:33<17:01, 2944.58s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:33> Block 370 of 565 complete - 65.49 % - created peptides 191,286 \n" + "2022-03-27 07:06:23> Block 370 of 565 complete - 65.49 % - created peptides 167,232 - total peptides 62,069,720 \n" ] }, { @@ -21791,14 +21765,14 @@ "text": [ "\n", "\n", - " 65%|██████████████████████████████████████████▌ | 0.6548672566371682/1 [37:24<16:42, 2904.88s/it]\u001b[A\u001b[A" + " 65%|██████████████████████████████████████████▌ | 0.6548672566371682/1 [37:40<18:37, 3237.07s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:37> Block 371 of 565 complete - 65.66 % - created peptides 167,232 \n" + "2022-03-27 07:06:30> Block 371 of 565 complete - 65.66 % - created peptides 191,286 - total peptides 62,261,006 \n" ] }, { @@ -21807,14 +21781,14 @@ "text": [ "\n", "\n", - " 66%|██████████████████████████████████████████▋ | 0.6566371681415929/1 [37:31<18:18, 3200.20s/it]\u001b[A\u001b[A" + " 66%|██████████████████████████████████████████▋ | 0.6566371681415929/1 [37:45<17:18, 3024.44s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:44> Block 372 of 565 complete - 65.84 % - created peptides 176,530 \n" + "2022-03-27 07:06:35> Block 372 of 565 complete - 65.84 % - created peptides 192,410 - total peptides 62,453,416 \n" ] }, { @@ -21823,14 +21797,14 @@ "text": [ "\n", "\n", - " 66%|██████████████████████████████████████████▊ | 0.6584070796460177/1 [37:36<16:59, 2983.53s/it]\u001b[A\u001b[A" + " 66%|██████████████████████████████████████████▊ | 0.6584070796460177/1 [37:49<16:20, 2870.23s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:48> Block 373 of 565 complete - 66.02 % - created peptides 192,410 \n" + "2022-03-27 07:06:39> Block 373 of 565 complete - 66.02 % - created peptides 176,530 - total peptides 62,629,946 \n" ] }, { @@ -21839,14 +21813,14 @@ "text": [ "\n", "\n", - " 66%|██████████████████████████████████████████▉ | 0.6601769911504425/1 [37:40<16:01, 2829.35s/it]\u001b[A\u001b[A" + " 66%|██████████████████████████████████████████▉ | 0.6601769911504425/1 [37:56<17:52, 3154.90s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:04:53> Block 374 of 565 complete - 66.19 % - created peptides 175,264 \n" + "2022-03-27 07:06:46> Block 374 of 565 complete - 66.19 % - created peptides 175,264 - total peptides 62,805,210 \n" ] }, { @@ -21855,14 +21829,14 @@ "text": [ "\n", "\n", - " 66%|███████████████████████████████████████████ | 0.6619469026548672/1 [37:47<17:33, 3116.74s/it]\u001b[A\u001b[A" + " 66%|███████████████████████████████████████████ | 0.6619469026548672/1 [38:00<16:39, 2955.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:00> Block 375 of 565 complete - 66.37 % - created peptides 184,936 \n" + "2022-03-27 07:06:50> Block 375 of 565 complete - 66.37 % - created peptides 184,936 - total peptides 62,990,146 \n" ] }, { @@ -21871,14 +21845,14 @@ "text": [ "\n", "\n", - " 66%|███████████████████████████████████████████▏ | 0.6637168141592921/1 [37:51<16:28, 2938.66s/it]\u001b[A\u001b[A" + " 66%|███████████████████████████████████████████▏ | 0.6637168141592921/1 [38:07<18:10, 3241.61s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:04> Block 376 of 565 complete - 66.55 % - created peptides 171,750 \n" + "2022-03-27 07:06:57> Block 376 of 565 complete - 66.55 % - created peptides 171,750 - total peptides 63,161,896 \n" ] }, { @@ -21887,14 +21861,14 @@ "text": [ "\n", "\n", - " 67%|███████████████████████████████████████████▎ | 0.6654867256637168/1 [37:58<17:54, 3211.30s/it]\u001b[A\u001b[A" + " 67%|███████████████████████████████████████████▎ | 0.6654867256637168/1 [38:12<16:49, 3017.93s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:11> Block 377 of 565 complete - 66.73 % - created peptides 171,660 \n" + "2022-03-27 07:07:02> Block 377 of 565 complete - 66.73 % - created peptides 171,660 - total peptides 63,333,556 \n" ] }, { @@ -21903,14 +21877,14 @@ "text": [ "\n", "\n", - " 67%|███████████████████████████████████████████▎ | 0.6672566371681415/1 [38:02<16:34, 2987.49s/it]\u001b[A\u001b[A" + " 67%|███████████████████████████████████████████▎ | 0.6672566371681415/1 [38:16<15:50, 2856.89s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:15> Block 378 of 565 complete - 66.90 % - created peptides 191,514 \n" + "2022-03-27 07:07:06> Block 378 of 565 complete - 66.90 % - created peptides 191,514 - total peptides 63,525,070 \n" ] }, { @@ -21919,14 +21893,14 @@ "text": [ "\n", "\n", - " 67%|███████████████████████████████████████████▍ | 0.6690265486725664/1 [38:07<15:40, 2840.13s/it]\u001b[A\u001b[A" + " 67%|███████████████████████████████████████████▍ | 0.6690265486725664/1 [38:23<17:16, 3131.63s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:20> Block 379 of 565 complete - 67.08 % - created peptides 167,472 \n" + "2022-03-27 07:07:13> Block 379 of 565 complete - 67.08 % - created peptides 177,902 - total peptides 63,702,972 \n" ] }, { @@ -21935,14 +21909,14 @@ "text": [ "\n", "\n", - " 67%|███████████████████████████████████████████▌ | 0.6707964601769911/1 [38:13<17:01, 3104.41s/it]\u001b[A\u001b[A" + " 67%|███████████████████████████████████████████▌ | 0.6707964601769911/1 [38:27<16:07, 2940.10s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:26> Block 380 of 565 complete - 67.26 % - created peptides 177,902 \n" + "2022-03-27 07:07:17> Block 380 of 565 complete - 67.26 % - created peptides 167,472 - total peptides 63,870,444 \n" ] }, { @@ -21951,14 +21925,14 @@ "text": [ "\n", "\n", - " 67%|████████████████████████████████████████████▍ | 0.672566371681416/1 [38:18<15:54, 2914.97s/it]\u001b[A\u001b[A" + " 67%|████████████████████████████████████████████▍ | 0.672566371681416/1 [38:34<17:31, 3212.04s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:31> Block 381 of 565 complete - 67.43 % - created peptides 167,104 \n" + "2022-03-27 07:07:24> Block 381 of 565 complete - 67.43 % - created peptides 185,302 - total peptides 64,055,746 \n" ] }, { @@ -21967,14 +21941,14 @@ "text": [ "\n", "\n", - " 67%|███████████████████████████████████████████▊ | 0.6743362831858407/1 [38:24<17:14, 3176.33s/it]\u001b[A\u001b[A" + " 67%|███████████████████████████████████████████▊ | 0.6743362831858407/1 [38:38<16:16, 2997.87s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:37> Block 382 of 565 complete - 67.61 % - created peptides 185,302 \n" + "2022-03-27 07:07:28> Block 382 of 565 complete - 67.61 % - created peptides 202,376 - total peptides 64,258,122 \n" ] }, { @@ -21983,14 +21957,14 @@ "text": [ "\n", "\n", - " 68%|███████████████████████████████████████████▉ | 0.6761061946902654/1 [38:29<16:01, 2967.59s/it]\u001b[A\u001b[A" + " 68%|███████████████████████████████████████████▉ | 0.6761061946902654/1 [38:45<17:40, 3272.73s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:42> Block 383 of 565 complete - 67.79 % - created peptides 202,376 \n" + "2022-03-27 07:07:35> Block 383 of 565 complete - 67.79 % - created peptides 167,104 - total peptides 64,425,226 \n" ] }, { @@ -21999,14 +21973,14 @@ "text": [ "\n", "\n", - " 68%|████████████████████████████████████████████ | 0.6778761061946903/1 [38:36<17:25, 3245.22s/it]\u001b[A\u001b[A" + " 68%|████████████████████████████████████████████ | 0.6778761061946903/1 [38:50<16:20, 3043.03s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:49> Block 384 of 565 complete - 67.96 % - created peptides 171,626 \n" + "2022-03-27 07:07:40> Block 384 of 565 complete - 67.96 % - created peptides 171,626 - total peptides 64,596,852 \n" ] }, { @@ -22015,14 +21989,14 @@ "text": [ "\n", "\n", - " 68%|████████████████████████████████████████████▊ | 0.679646017699115/1 [38:40<16:16, 3047.00s/it]\u001b[A\u001b[A" + " 68%|████████████████████████████████████████████▊ | 0.679646017699115/1 [38:54<15:23, 2883.64s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:53> Block 385 of 565 complete - 68.14 % - created peptides 196,000 \n" + "2022-03-27 07:07:44> Block 385 of 565 complete - 68.14 % - created peptides 196,000 - total peptides 64,792,852 \n" ] }, { @@ -22031,14 +22005,14 @@ "text": [ "\n", "\n", - " 68%|████████████████████████████████████████████▎ | 0.6814159292035398/1 [38:45<15:18, 2884.34s/it]\u001b[A\u001b[A" + " 68%|████████████████████████████████████████████▎ | 0.6814159292035398/1 [39:01<16:45, 3155.45s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:05:58> Block 386 of 565 complete - 68.32 % - created peptides 168,126 \n" + "2022-03-27 07:07:51> Block 386 of 565 complete - 68.32 % - created peptides 198,958 - total peptides 64,991,810 \n" ] }, { @@ -22047,14 +22021,14 @@ "text": [ "\n", "\n", - " 68%|████████████████████████████████████████████▍ | 0.6831858407079646/1 [38:51<16:35, 3141.84s/it]\u001b[A\u001b[A" + " 68%|████████████████████████████████████████████▍ | 0.6831858407079646/1 [39:05<15:37, 2958.32s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:04> Block 387 of 565 complete - 68.50 % - created peptides 174,092 \n" + "2022-03-27 07:07:55> Block 387 of 565 complete - 68.50 % - created peptides 168,126 - total peptides 65,159,936 \n" ] }, { @@ -22063,14 +22037,14 @@ "text": [ "\n", "\n", - " 68%|████████████████████████████████████████████▌ | 0.6849557522123894/1 [38:56<15:26, 2942.23s/it]\u001b[A\u001b[A" + " 68%|████████████████████████████████████████████▌ | 0.6849557522123894/1 [39:12<16:56, 3225.08s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:09> Block 388 of 565 complete - 68.67 % - created peptides 198,958 \n" + "2022-03-27 07:08:02> Block 388 of 565 complete - 68.67 % - created peptides 196,162 - total peptides 65,356,098 \n" ] }, { @@ -22079,14 +22053,14 @@ "text": [ "\n", "\n", - " 69%|████████████████████████████████████████████▋ | 0.6867256637168142/1 [39:02<16:44, 3205.07s/it]\u001b[A\u001b[A" + " 69%|████████████████████████████████████████████▋ | 0.6867256637168142/1 [39:17<15:43, 3011.00s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:15> Block 389 of 565 complete - 68.85 % - created peptides 161,840 \n" + "2022-03-27 07:08:07> Block 389 of 565 complete - 68.85 % - created peptides 161,840 - total peptides 65,517,938 \n" ] }, { @@ -22095,14 +22069,14 @@ "text": [ "\n", "\n", - " 69%|████████████████████████████████████████████▊ | 0.6884955752212389/1 [39:07<15:29, 2985.46s/it]\u001b[A\u001b[A" + " 69%|████████████████████████████████████████████▊ | 0.6884955752212389/1 [39:23<16:59, 3272.84s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:20> Block 390 of 565 complete - 69.03 % - created peptides 184,772 \n" + "2022-03-27 07:08:13> Block 390 of 565 complete - 69.03 % - created peptides 174,092 - total peptides 65,692,030 \n" ] }, { @@ -22111,14 +22085,14 @@ "text": [ "\n", "\n", - " 69%|████████████████████████████████████████████▊ | 0.6902654867256637/1 [39:11<14:38, 2834.85s/it]\u001b[A\u001b[A" + " 69%|████████████████████████████████████████████▊ | 0.6902654867256637/1 [39:28<15:41, 3039.32s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:24> Block 391 of 565 complete - 69.20 % - created peptides 196,162 \n" + "2022-03-27 07:08:18> Block 391 of 565 complete - 69.20 % - created peptides 184,772 - total peptides 65,876,802 \n" ] }, { @@ -22127,14 +22101,14 @@ "text": [ "\n", "\n", - " 69%|████████████████████████████████████████████▉ | 0.6920353982300885/1 [39:18<15:50, 3086.47s/it]\u001b[A\u001b[A" + " 69%|████████████████████████████████████████████▉ | 0.6920353982300885/1 [39:32<14:45, 2876.33s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:31> Block 392 of 565 complete - 69.38 % - created peptides 182,036 \n" + "2022-03-27 07:08:22> Block 392 of 565 complete - 69.38 % - created peptides 182,036 - total peptides 66,058,838 \n" ] }, { @@ -22143,14 +22117,14 @@ "text": [ "\n", "\n", - " 69%|█████████████████████████████████████████████ | 0.6938053097345133/1 [39:22<14:50, 2907.85s/it]\u001b[A\u001b[A" + " 69%|█████████████████████████████████████████████ | 0.6938053097345133/1 [39:39<16:01, 3139.42s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:35> Block 393 of 565 complete - 69.56 % - created peptides 197,778 \n" + "2022-03-27 07:08:29> Block 393 of 565 complete - 69.56 % - created peptides 197,778 - total peptides 66,256,616 \n" ] }, { @@ -22159,14 +22133,14 @@ "text": [ "\n", "\n", - " 70%|█████████████████████████████████████████████▉ | 0.695575221238938/1 [39:29<15:59, 3150.21s/it]\u001b[A\u001b[A" + " 70%|█████████████████████████████████████████████▉ | 0.695575221238938/1 [39:43<14:58, 2952.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:42> Block 394 of 565 complete - 69.73 % - created peptides 149,802 \n" + "2022-03-27 07:08:33> Block 394 of 565 complete - 69.73 % - created peptides 149,802 - total peptides 66,406,418 \n" ] }, { @@ -22175,14 +22149,14 @@ "text": [ "\n", "\n", - " 70%|█████████████████████████████████████████████▎ | 0.6973451327433628/1 [39:33<14:52, 2950.31s/it]\u001b[A\u001b[A" + " 70%|█████████████████████████████████████████████▎ | 0.6973451327433628/1 [39:50<16:11, 3209.99s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:46> Block 395 of 565 complete - 69.91 % - created peptides 183,626 \n" + "2022-03-27 07:08:40> Block 395 of 565 complete - 69.91 % - created peptides 183,626 - total peptides 66,590,044 \n" ] }, { @@ -22191,14 +22165,14 @@ "text": [ "\n", "\n", - " 70%|█████████████████████████████████████████████▍ | 0.6991150442477876/1 [39:40<16:00, 3193.50s/it]\u001b[A\u001b[A" + " 70%|█████████████████████████████████████████████▍ | 0.6991150442477876/1 [39:54<15:02, 2998.20s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:53> Block 396 of 565 complete - 70.09 % - created peptides 174,826 \n" + "2022-03-27 07:08:45> Block 396 of 565 complete - 70.09 % - created peptides 168,426 - total peptides 66,758,470 \n" ] }, { @@ -22207,14 +22181,14 @@ "text": [ "\n", "\n", - " 70%|█████████████████████████████████████████████▌ | 0.7008849557522124/1 [39:44<14:52, 2982.39s/it]\u001b[A\u001b[A" + " 70%|█████████████████████████████████████████████▌ | 0.7008849557522124/1 [40:01<16:14, 3257.05s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:06:57> Block 397 of 565 complete - 70.27 % - created peptides 168,426 \n" + "2022-03-27 07:08:51> Block 397 of 565 complete - 70.27 % - created peptides 185,768 - total peptides 66,944,238 \n" ] }, { @@ -22223,14 +22197,14 @@ "text": [ "\n", "\n", - " 70%|█████████████████████████████████████████████▋ | 0.7026548672566372/1 [39:51<16:02, 3237.06s/it]\u001b[A\u001b[A" + " 70%|█████████████████████████████████████████████▋ | 0.7026548672566372/1 [40:06<15:04, 3040.48s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:04> Block 398 of 565 complete - 70.44 % - created peptides 185,768 \n" + "2022-03-27 07:08:56> Block 398 of 565 complete - 70.44 % - created peptides 174,826 - total peptides 67,119,064 \n" ] }, { @@ -22239,14 +22213,14 @@ "text": [ "\n", "\n", - " 70%|█████████████████████████████████████████████▊ | 0.7044247787610619/1 [39:55<14:52, 3018.12s/it]\u001b[A\u001b[A" + " 70%|█████████████████████████████████████████████▊ | 0.7044247787610619/1 [40:13<16:15, 3299.52s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:08> Block 399 of 565 complete - 70.62 % - created peptides 192,198 \n" + "2022-03-27 07:09:03> Block 399 of 565 complete - 70.62 % - created peptides 192,198 - total peptides 67,311,262 \n" ] }, { @@ -22255,14 +22229,14 @@ "text": [ "\n", "\n", - " 71%|█████████████████████████████████████████████▉ | 0.7061946902654868/1 [40:00<14:00, 2860.86s/it]\u001b[A\u001b[A" + " 71%|█████████████████████████████████████████████▉ | 0.7061946902654868/1 [40:17<15:02, 3070.46s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:13> Block 400 of 565 complete - 70.80 % - created peptides 170,718 \n" + "2022-03-27 07:09:07> Block 400 of 565 complete - 70.80 % - created peptides 170,718 - total peptides 67,481,980 \n" ] }, { @@ -22271,14 +22245,14 @@ "text": [ "\n", "\n", - " 71%|██████████████████████████████████████████████ | 0.7079646017699115/1 [40:06<15:03, 3094.21s/it]\u001b[A\u001b[A" + " 71%|██████████████████████████████████████████████ | 0.7079646017699115/1 [40:22<14:07, 2903.21s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:19> Block 401 of 565 complete - 70.97 % - created peptides 201,454 \n" + "2022-03-27 07:09:12> Block 401 of 565 complete - 70.97 % - created peptides 201,454 - total peptides 67,683,434 \n" ] }, { @@ -22287,14 +22261,14 @@ "text": [ "\n", "\n", - " 71%|██████████████████████████████████████████████▏ | 0.7097345132743362/1 [40:11<14:07, 2918.48s/it]\u001b[A\u001b[A" + " 71%|██████████████████████████████████████████████▏ | 0.7097345132743362/1 [40:28<15:17, 3161.49s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:24> Block 402 of 565 complete - 71.15 % - created peptides 178,114 \n" + "2022-03-27 07:09:18> Block 402 of 565 complete - 71.15 % - created peptides 178,114 - total peptides 67,861,548 \n" ] }, { @@ -22303,14 +22277,14 @@ "text": [ "\n", "\n", - " 71%|██████████████████████████████████████████████▏ | 0.7115044247787611/1 [40:17<15:04, 3133.57s/it]\u001b[A\u001b[A" + " 71%|██████████████████████████████████████████████▏ | 0.7115044247787611/1 [40:33<14:18, 2974.43s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:30> Block 403 of 565 complete - 71.33 % - created peptides 181,596 \n" + "2022-03-27 07:09:23> Block 403 of 565 complete - 71.33 % - created peptides 190,380 - total peptides 68,051,928 \n" ] }, { @@ -22319,14 +22293,14 @@ "text": [ "\n", "\n", - " 71%|██████████████████████████████████████████████▎ | 0.7132743362831858/1 [40:22<14:04, 2943.72s/it]\u001b[A\u001b[A" + " 71%|██████████████████████████████████████████████▎ | 0.7132743362831858/1 [40:39<15:19, 3206.02s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:34> Block 404 of 565 complete - 71.50 % - created peptides 170,986 \n" + "2022-03-27 07:09:29> Block 404 of 565 complete - 71.50 % - created peptides 181,596 - total peptides 68,233,524 \n" ] }, { @@ -22335,14 +22309,14 @@ "text": [ "\n", "\n", - " 72%|██████████████████████████████████████████████▍ | 0.7150442477876107/1 [40:28<15:19, 3226.54s/it]\u001b[A\u001b[A" + " 72%|██████████████████████████████████████████████▍ | 0.7150442477876107/1 [40:44<14:15, 3002.34s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:41> Block 405 of 565 complete - 71.68 % - created peptides 190,380 \n" + "2022-03-27 07:09:34> Block 405 of 565 complete - 71.68 % - created peptides 170,986 - total peptides 68,404,510 \n" ] }, { @@ -22351,14 +22325,14 @@ "text": [ "\n", "\n", - " 72%|██████████████████████████████████████████████▌ | 0.7168141592920354/1 [40:33<14:25, 3057.28s/it]\u001b[A\u001b[A" + " 72%|██████████████████████████████████████████████▌ | 0.7168141592920354/1 [40:51<15:16, 3237.43s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:46> Block 406 of 565 complete - 71.86 % - created peptides 185,408 \n" + "2022-03-27 07:09:41> Block 406 of 565 complete - 71.86 % - created peptides 168,360 - total peptides 68,572,870 \n" ] }, { @@ -22367,14 +22341,14 @@ "text": [ "\n", "\n", - " 72%|██████████████████████████████████████████████▋ | 0.7185840707964601/1 [40:40<15:26, 3293.80s/it]\u001b[A\u001b[A" + " 72%|██████████████████████████████████████████████▋ | 0.7185840707964601/1 [40:55<14:10, 3021.25s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:53> Block 407 of 565 complete - 72.04 % - created peptides 168,360 \n" + "2022-03-27 07:09:45> Block 407 of 565 complete - 72.04 % - created peptides 167,382 - total peptides 68,740,252 \n" ] }, { @@ -22383,14 +22357,14 @@ "text": [ "\n", "\n", - " 72%|███████████████████████████████████████████████▌ | 0.720353982300885/1 [40:45<14:23, 3087.04s/it]\u001b[A\u001b[A" + " 72%|███████████████████████████████████████████████▌ | 0.720353982300885/1 [41:02<15:08, 3250.26s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:07:57> Block 408 of 565 complete - 72.21 % - created peptides 173,590 \n" + "2022-03-27 07:09:52> Block 408 of 565 complete - 72.21 % - created peptides 177,216 - total peptides 68,917,468 \n" ] }, { @@ -22399,14 +22373,14 @@ "text": [ "\n", "\n", - " 72%|██████████████████████████████████████████████▉ | 0.7221238938053097/1 [40:51<15:09, 3274.38s/it]\u001b[A\u001b[A" + " 72%|██████████████████████████████████████████████▉ | 0.7221238938053097/1 [41:06<14:03, 3036.21s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:04> Block 409 of 565 complete - 72.39 % - created peptides 167,382 \n" + "2022-03-27 07:09:56> Block 409 of 565 complete - 72.39 % - created peptides 185,408 - total peptides 69,102,876 \n" ] }, { @@ -22415,14 +22389,14 @@ "text": [ "\n", "\n", - " 72%|███████████████████████████████████████████████ | 0.7238938053097345/1 [40:56<14:04, 3060.35s/it]\u001b[A\u001b[A" + " 72%|███████████████████████████████████████████████ | 0.7238938053097345/1 [41:13<15:03, 3271.85s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:09> Block 410 of 565 complete - 72.57 % - created peptides 159,784 \n" + "2022-03-27 07:10:03> Block 410 of 565 complete - 72.57 % - created peptides 173,590 - total peptides 69,276,466 \n" ] }, { @@ -22431,14 +22405,14 @@ "text": [ "\n", "\n", - " 73%|███████████████████████████████████████████████▏ | 0.7256637168141593/1 [41:02<15:05, 3300.31s/it]\u001b[A\u001b[A" + " 73%|███████████████████████████████████████████████▏ | 0.7256637168141593/1 [41:17<13:56, 3047.72s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:15> Block 411 of 565 complete - 72.74 % - created peptides 177,216 \n" + "2022-03-27 07:10:08> Block 411 of 565 complete - 72.74 % - created peptides 159,784 - total peptides 69,436,250 \n" ] }, { @@ -22447,14 +22421,14 @@ "text": [ "\n", "\n", - " 73%|████████████████████████████████████████████████ | 0.727433628318584/1 [41:07<13:59, 3080.57s/it]\u001b[A\u001b[A" + " 73%|████████████████████████████████████████████████ | 0.727433628318584/1 [41:24<14:53, 3276.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:20> Block 412 of 565 complete - 72.92 % - created peptides 162,540 \n" + "2022-03-27 07:10:14> Block 412 of 565 complete - 72.92 % - created peptides 183,926 - total peptides 69,620,176 \n" ] }, { @@ -22463,14 +22437,14 @@ "text": [ "\n", "\n", - " 73%|███████████████████████████████████████████████▍ | 0.7292035398230089/1 [41:14<14:45, 3271.42s/it]\u001b[A\u001b[A" + " 73%|███████████████████████████████████████████████▍ | 0.7292035398230089/1 [41:29<13:47, 3054.16s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:26> Block 413 of 565 complete - 73.10 % - created peptides 183,926 \n" + "2022-03-27 07:10:19> Block 413 of 565 complete - 73.10 % - created peptides 162,540 - total peptides 69,782,716 \n" ] }, { @@ -22479,14 +22453,14 @@ "text": [ "\n", "\n", - " 73%|███████████████████████████████████████████████▌ | 0.7309734513274336/1 [41:18<13:40, 3048.80s/it]\u001b[A\u001b[A" + " 73%|███████████████████████████████████████████████▌ | 0.7309734513274336/1 [41:36<14:47, 3298.40s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:31> Block 414 of 565 complete - 73.27 % - created peptides 175,474 \n" + "2022-03-27 07:10:26> Block 414 of 565 complete - 73.27 % - created peptides 175,474 - total peptides 69,958,190 \n" ] }, { @@ -22495,14 +22469,14 @@ "text": [ "\n", "\n", - " 73%|███████████████████████████████████████████████▋ | 0.7327433628318584/1 [41:25<14:29, 3254.00s/it]\u001b[A\u001b[A" + " 73%|███████████████████████████████████████████████▋ | 0.7327433628318584/1 [41:40<13:40, 3070.47s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:38> Block 415 of 565 complete - 73.45 % - created peptides 170,958 \n" + "2022-03-27 07:10:30> Block 415 of 565 complete - 73.45 % - created peptides 182,714 - total peptides 70,140,904 \n" ] }, { @@ -22511,14 +22485,14 @@ "text": [ "\n", "\n", - " 73%|███████████████████████████████████████████████▋ | 0.7345132743362832/1 [41:29<13:24, 3031.85s/it]\u001b[A\u001b[A" + " 73%|███████████████████████████████████████████████▋ | 0.7345132743362832/1 [41:45<12:53, 2912.58s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:42> Block 416 of 565 complete - 73.63 % - created peptides 161,086 \n" + "2022-03-27 07:10:35> Block 416 of 565 complete - 73.63 % - created peptides 161,086 - total peptides 70,301,990 \n" ] }, { @@ -22527,14 +22501,14 @@ "text": [ "\n", "\n", - " 74%|████████████████████████████████████████████████▌ | 0.736283185840708/1 [41:36<14:13, 3237.67s/it]\u001b[A\u001b[A" + " 74%|████████████████████████████████████████████████▌ | 0.736283185840708/1 [41:51<13:45, 3129.72s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:49> Block 417 of 565 complete - 73.81 % - created peptides 182,714 \n" + "2022-03-27 07:10:41> Block 417 of 565 complete - 73.81 % - created peptides 170,958 - total peptides 70,472,948 \n" ] }, { @@ -22543,14 +22517,14 @@ "text": [ "\n", "\n", - " 74%|███████████████████████████████████████████████▉ | 0.7380530973451327/1 [41:40<13:13, 3028.36s/it]\u001b[A\u001b[A" + " 74%|███████████████████████████████████████████████▉ | 0.7380530973451327/1 [41:56<12:54, 2956.26s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:08:53> Block 418 of 565 complete - 73.98 % - created peptides 169,902 \n" + "2022-03-27 07:10:46> Block 418 of 565 complete - 73.98 % - created peptides 169,902 - total peptides 70,642,850 \n" ] }, { @@ -22559,14 +22533,14 @@ "text": [ "\n", "\n", - " 74%|████████████████████████████████████████████████ | 0.7398230088495575/1 [41:47<14:03, 3241.78s/it]\u001b[A\u001b[A" + " 74%|████████████████████████████████████████████████ | 0.7398230088495575/1 [42:02<13:40, 3155.02s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:00> Block 419 of 565 complete - 74.16 % - created peptides 166,682 \n" + "2022-03-27 07:10:52> Block 419 of 565 complete - 74.16 % - created peptides 166,682 - total peptides 70,809,532 \n" ] }, { @@ -22575,14 +22549,14 @@ "text": [ "\n", "\n", - " 74%|████████████████████████████████████████████████▏ | 0.7415929203539823/1 [41:51<13:05, 3039.22s/it]\u001b[A\u001b[A" + " 74%|████████████████████████████████████████████████▏ | 0.7415929203539823/1 [42:09<14:26, 3351.77s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:04> Block 420 of 565 complete - 74.34 % - created peptides 181,740 \n" + "2022-03-27 07:10:59> Block 420 of 565 complete - 74.34 % - created peptides 181,740 - total peptides 70,991,272 \n" ] }, { @@ -22591,14 +22565,14 @@ "text": [ "\n", "\n", - " 74%|████████████████████████████████████████████████▎ | 0.7433628318584071/1 [41:58<13:55, 3257.46s/it]\u001b[A\u001b[A" + " 74%|████████████████████████████████████████████████▎ | 0.7433628318584071/1 [42:13<13:19, 3114.05s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:11> Block 421 of 565 complete - 74.51 % - created peptides 160,710 \n" + "2022-03-27 07:11:03> Block 421 of 565 complete - 74.51 % - created peptides 160,710 - total peptides 71,151,982 \n" ] }, { @@ -22607,14 +22581,14 @@ "text": [ "\n", "\n", - " 75%|████████████████████████████████████████████████▍ | 0.7451327433628319/1 [42:02<12:53, 3035.24s/it]\u001b[A\u001b[A" + " 75%|████████████████████████████████████████████████▍ | 0.7451327433628319/1 [42:18<12:28, 2937.13s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:15> Block 422 of 565 complete - 74.69 % - created peptides 176,388 \n" + "2022-03-27 07:11:08> Block 422 of 565 complete - 74.69 % - created peptides 176,388 - total peptides 71,328,370 \n" ] }, { @@ -22623,14 +22597,14 @@ "text": [ "\n", "\n", - " 75%|████████████████████████████████████████████████▌ | 0.7469026548672566/1 [42:09<13:42, 3250.52s/it]\u001b[A\u001b[A" + " 75%|████████████████████████████████████████████████▌ | 0.7469026548672566/1 [42:24<13:15, 3141.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:22> Block 423 of 565 complete - 74.87 % - created peptides 189,888 \n" + "2022-03-27 07:11:14> Block 423 of 565 complete - 74.87 % - created peptides 173,324 - total peptides 71,501,694 \n" ] }, { @@ -22639,14 +22613,14 @@ "text": [ "\n", "\n", - " 75%|████████████████████████████████████████████████▋ | 0.7486725663716814/1 [42:14<12:49, 3063.45s/it]\u001b[A\u001b[A" + " 75%|████████████████████████████████████████████████▋ | 0.7486725663716814/1 [42:31<13:58, 3335.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:27> Block 424 of 565 complete - 75.04 % - created peptides 173,324 \n" + "2022-03-27 07:11:21> Block 424 of 565 complete - 75.04 % - created peptides 189,888 - total peptides 71,691,582 \n" ] }, { @@ -22655,14 +22629,14 @@ "text": [ "\n", "\n", - " 75%|████████████████████████████████████████████████▊ | 0.7504424778761062/1 [42:20<13:34, 3265.68s/it]\u001b[A\u001b[A" + " 75%|████████████████████████████████████████████████▊ | 0.7504424778761062/1 [42:35<12:55, 3108.55s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:33> Block 425 of 565 complete - 75.22 % - created peptides 165,598 \n" + "2022-03-27 07:11:25> Block 425 of 565 complete - 75.22 % - created peptides 165,598 - total peptides 71,857,180 \n" ] }, { @@ -22671,14 +22645,14 @@ "text": [ "\n", "\n", - " 75%|████████████████████████████████████████████████▉ | 0.7522123893805309/1 [42:25<12:34, 3046.41s/it]\u001b[A\u001b[A" + " 75%|████████████████████████████████████████████████▉ | 0.7522123893805309/1 [42:42<13:41, 3315.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:38> Block 426 of 565 complete - 75.40 % - created peptides 178,990 \n" + "2022-03-27 07:11:32> Block 426 of 565 complete - 75.40 % - created peptides 186,032 - total peptides 72,043,212 \n" ] }, { @@ -22687,14 +22661,14 @@ "text": [ "\n", "\n", - " 75%|█████████████████████████████████████████████████ | 0.7539823008849558/1 [42:31<13:20, 3254.18s/it]\u001b[A\u001b[A" + " 75%|█████████████████████████████████████████████████ | 0.7539823008849558/1 [42:47<12:42, 3097.34s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:44> Block 427 of 565 complete - 75.58 % - created peptides 186,032 \n" + "2022-03-27 07:11:37> Block 427 of 565 complete - 75.58 % - created peptides 161,270 - total peptides 72,204,482 \n" ] }, { @@ -22703,14 +22677,14 @@ "text": [ "\n", "\n", - " 76%|█████████████████████████████████████████████████ | 0.7557522123893805/1 [42:36<12:22, 3040.17s/it]\u001b[A\u001b[A" + " 76%|█████████████████████████████████████████████████ | 0.7557522123893805/1 [42:53<13:27, 3305.24s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:49> Block 428 of 565 complete - 75.75 % - created peptides 161,270 \n" + "2022-03-27 07:11:43> Block 428 of 565 complete - 75.75 % - created peptides 178,990 - total peptides 72,383,472 \n" ] }, { @@ -22719,14 +22693,14 @@ "text": [ "\n", "\n", - " 76%|█████████████████████████████████████████████████▏ | 0.7575221238938054/1 [42:43<13:05, 3241.43s/it]\u001b[A\u001b[A" + " 76%|█████████████████████████████████████████████████▏ | 0.7575221238938054/1 [42:58<12:26, 3079.61s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:09:55> Block 429 of 565 complete - 75.93 % - created peptides 160,542 \n" + "2022-03-27 07:11:48> Block 429 of 565 complete - 75.93 % - created peptides 160,542 - total peptides 72,544,014 \n" ] }, { @@ -22735,14 +22709,14 @@ "text": [ "\n", "\n", - " 76%|█████████████████████████████████████████████████▎ | 0.7592920353982301/1 [42:47<12:10, 3036.44s/it]\u001b[A\u001b[A" + " 76%|█████████████████████████████████████████████████▎ | 0.7592920353982301/1 [43:05<13:09, 3280.22s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:00> Block 430 of 565 complete - 76.11 % - created peptides 188,304 \n" + "2022-03-27 07:11:55> Block 430 of 565 complete - 76.11 % - created peptides 176,546 - total peptides 72,720,560 \n" ] }, { @@ -22751,14 +22725,14 @@ "text": [ "\n", "\n", - " 76%|█████████████████████████████████████████████████▍ | 0.7610619469026548/1 [42:54<12:53, 3236.78s/it]\u001b[A\u001b[A" + " 76%|█████████████████████████████████████████████████▍ | 0.7610619469026548/1 [43:09<12:11, 3060.86s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:07> Block 431 of 565 complete - 76.28 % - created peptides 167,210 \n" + "2022-03-27 07:11:59> Block 431 of 565 complete - 76.28 % - created peptides 188,304 - total peptides 72,908,864 \n" ] }, { @@ -22767,14 +22741,14 @@ "text": [ "\n", "\n", - " 76%|█████████████████████████████████████████████████▌ | 0.7628318584070797/1 [42:58<11:58, 3029.16s/it]\u001b[A\u001b[A" + " 76%|█████████████████████████████████████████████████▌ | 0.7628318584070797/1 [43:16<12:54, 3266.70s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:11> Block 432 of 565 complete - 76.46 % - created peptides 177,074 \n" + "2022-03-27 07:12:06> Block 432 of 565 complete - 76.46 % - created peptides 165,010 - total peptides 73,073,874 \n" ] }, { @@ -22783,14 +22757,14 @@ "text": [ "\n", "\n", - " 76%|█████████████████████████████████████████████████▋ | 0.7646017699115044/1 [43:05<12:38, 3221.14s/it]\u001b[A\u001b[A" + " 76%|█████████████████████████████████████████████████▋ | 0.7646017699115044/1 [43:20<11:59, 3057.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:18> Block 433 of 565 complete - 76.64 % - created peptides 165,010 \n" + "2022-03-27 07:12:10> Block 433 of 565 complete - 76.64 % - created peptides 177,074 - total peptides 73,250,948 \n" ] }, { @@ -22799,14 +22773,14 @@ "text": [ "\n", "\n", - " 77%|█████████████████████████████████████████████████▊ | 0.7663716814159292/1 [43:09<11:45, 3017.64s/it]\u001b[A\u001b[A" + " 77%|█████████████████████████████████████████████████▊ | 0.7663716814159292/1 [43:27<12:39, 3251.65s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:22> Block 434 of 565 complete - 76.81 % - created peptides 180,436 \n" + "2022-03-27 07:12:17> Block 434 of 565 complete - 76.81 % - created peptides 180,436 - total peptides 73,431,384 \n" ] }, { @@ -22815,14 +22789,14 @@ "text": [ "\n", "\n", - " 77%|██████████████████████████████████████████████████▋ | 0.768141592920354/1 [43:16<12:22, 3200.73s/it]\u001b[A\u001b[A" + " 77%|██████████████████████████████████████████████████▋ | 0.768141592920354/1 [43:31<11:45, 3042.12s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:28> Block 435 of 565 complete - 76.99 % - created peptides 176,546 \n" + "2022-03-27 07:12:21> Block 435 of 565 complete - 76.99 % - created peptides 167,210 - total peptides 73,598,594 \n" ] }, { @@ -22831,14 +22805,14 @@ "text": [ "\n", "\n", - " 77%|██████████████████████████████████████████████████ | 0.7699115044247787/1 [43:20<11:31, 3006.96s/it]\u001b[A\u001b[A" + " 77%|██████████████████████████████████████████████████ | 0.7699115044247787/1 [43:38<12:22, 3227.25s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:33> Block 436 of 565 complete - 77.17 % - created peptides 176,602 \n" + "2022-03-27 07:12:28> Block 436 of 565 complete - 77.17 % - created peptides 161,744 - total peptides 73,760,338 \n" ] }, { @@ -22847,14 +22821,14 @@ "text": [ "\n", "\n", - " 77%|██████████████████████████████████████████████████▏ | 0.7716814159292036/1 [43:26<12:07, 3186.25s/it]\u001b[A\u001b[A" + " 77%|██████████████████████████████████████████████████▏ | 0.7716814159292036/1 [43:42<11:31, 3027.03s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:39> Block 437 of 565 complete - 77.35 % - created peptides 161,744 \n" + "2022-03-27 07:12:32> Block 437 of 565 complete - 77.35 % - created peptides 176,602 - total peptides 73,936,940 \n" ] }, { @@ -22863,14 +22837,14 @@ "text": [ "\n", "\n", - " 77%|██████████████████████████████████████████████████▎ | 0.7734513274336283/1 [43:31<11:19, 2999.30s/it]\u001b[A\u001b[A" + " 77%|██████████████████████████████████████████████████▎ | 0.7734513274336283/1 [43:49<12:06, 3205.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:44> Block 438 of 565 complete - 77.52 % - created peptides 176,706 \n" + "2022-03-27 07:12:39> Block 438 of 565 complete - 77.52 % - created peptides 176,706 - total peptides 74,113,646 \n" ] }, { @@ -22879,14 +22853,14 @@ "text": [ "\n", "\n", - " 78%|██████████████████████████████████████████████████▍ | 0.7752212389380531/1 [43:37<11:48, 3152.34s/it]\u001b[A\u001b[A" + " 78%|██████████████████████████████████████████████████▍ | 0.7752212389380531/1 [43:53<11:17, 3012.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:50> Block 439 of 565 complete - 77.70 % - created peptides 173,666 \n" + "2022-03-27 07:12:43> Block 439 of 565 complete - 77.70 % - created peptides 173,666 - total peptides 74,287,312 \n" ] }, { @@ -22895,14 +22869,14 @@ "text": [ "\n", "\n", - " 78%|██████████████████████████████████████████████████▌ | 0.7769911504424779/1 [43:44<12:18, 3312.45s/it]\u001b[A\u001b[A" + " 78%|██████████████████████████████████████████████████▌ | 0.7769911504424779/1 [44:00<11:48, 3178.12s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:10:57> Block 440 of 565 complete - 77.88 % - created peptides 162,904 \n" + "2022-03-27 07:12:50> Block 440 of 565 complete - 77.88 % - created peptides 162,904 - total peptides 74,450,216 \n" ] }, { @@ -22911,14 +22885,14 @@ "text": [ "\n", "\n", - " 78%|██████████████████████████████████████████████████▌ | 0.7787610619469026/1 [43:48<11:22, 3085.14s/it]\u001b[A\u001b[A" + " 78%|██████████████████████████████████████████████████▌ | 0.7787610619469026/1 [44:06<12:18, 3337.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:01> Block 441 of 565 complete - 78.05 % - created peptides 174,048 \n" + "2022-03-27 07:12:56> Block 441 of 565 complete - 78.05 % - created peptides 174,048 - total peptides 74,624,264 \n" ] }, { @@ -22927,14 +22901,14 @@ "text": [ "\n", "\n", - " 78%|██████████████████████████████████████████████████▋ | 0.7805309734513274/1 [43:55<11:54, 3256.46s/it]\u001b[A\u001b[A" + " 78%|██████████████████████████████████████████████████▋ | 0.7805309734513274/1 [44:11<11:21, 3106.12s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:08> Block 442 of 565 complete - 78.23 % - created peptides 160,524 \n" + "2022-03-27 07:13:01> Block 442 of 565 complete - 78.23 % - created peptides 160,524 - total peptides 74,784,788 \n" ] }, { @@ -22943,14 +22917,14 @@ "text": [ "\n", "\n", - " 78%|██████████████████████████████████████████████████▊ | 0.7823008849557522/1 [43:59<11:02, 3042.50s/it]\u001b[A\u001b[A" + " 78%|██████████████████████████████████████████████████▊ | 0.7823008849557522/1 [44:17<11:52, 3273.62s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:12> Block 443 of 565 complete - 78.41 % - created peptides 197,658 \n" + "2022-03-27 07:13:07> Block 443 of 565 complete - 78.41 % - created peptides 197,658 - total peptides 74,982,446 \n" ] }, { @@ -22959,14 +22933,14 @@ "text": [ "\n", "\n", - " 78%|███████████████████████████████████████████████████▋ | 0.784070796460177/1 [44:06<11:32, 3207.85s/it]\u001b[A\u001b[A" + " 78%|███████████████████████████████████████████████████▋ | 0.784070796460177/1 [44:22<11:01, 3063.00s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:18> Block 444 of 565 complete - 78.58 % - created peptides 175,402 \n" + "2022-03-27 07:13:12> Block 444 of 565 complete - 78.58 % - created peptides 175,402 - total peptides 75,157,848 \n" ] }, { @@ -22975,14 +22949,14 @@ "text": [ "\n", "\n", - " 79%|███████████████████████████████████████████████████ | 0.7858407079646018/1 [44:10<10:45, 3014.97s/it]\u001b[A\u001b[A" + " 79%|███████████████████████████████████████████████████ | 0.7858407079646018/1 [44:28<11:30, 3226.33s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:23> Block 445 of 565 complete - 78.76 % - created peptides 174,982 \n" + "2022-03-27 07:13:18> Block 445 of 565 complete - 78.76 % - created peptides 174,982 - total peptides 75,332,830 \n" ] }, { @@ -22991,14 +22965,14 @@ "text": [ "\n", "\n", - " 79%|███████████████████████████████████████████████████▏ | 0.7876106194690266/1 [44:16<11:11, 3162.00s/it]\u001b[A\u001b[A" + " 79%|███████████████████████████████████████████████████▏ | 0.7876106194690266/1 [44:33<10:43, 3028.39s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:29> Block 446 of 565 complete - 78.94 % - created peptides 171,090 \n" + "2022-03-27 07:13:23> Block 446 of 565 complete - 78.94 % - created peptides 171,090 - total peptides 75,503,920 \n" ] }, { @@ -23007,14 +22981,14 @@ "text": [ "\n", "\n", - " 79%|███████████████████████████████████████████████████▎ | 0.7893805309734513/1 [44:23<11:36, 3306.01s/it]\u001b[A\u001b[A" + " 79%|███████████████████████████████████████████████████▎ | 0.7893805309734513/1 [44:39<11:07, 3171.05s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:36> Block 447 of 565 complete - 79.12 % - created peptides 169,044 \n" + "2022-03-27 07:13:29> Block 447 of 565 complete - 79.12 % - created peptides 169,044 - total peptides 75,672,964 \n" ] }, { @@ -23023,14 +22997,14 @@ "text": [ "\n", "\n", - " 79%|███████████████████████████████████████████████████▍ | 0.7911504424778761/1 [44:27<10:42, 3077.15s/it]\u001b[A\u001b[A" + " 79%|███████████████████████████████████████████████████▍ | 0.7911504424778761/1 [44:45<11:33, 3318.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:40> Block 448 of 565 complete - 79.29 % - created peptides 166,978 \n" + "2022-03-27 07:13:35> Block 448 of 565 complete - 79.29 % - created peptides 166,978 - total peptides 75,839,942 \n" ] }, { @@ -23039,14 +23013,14 @@ "text": [ "\n", "\n", - " 79%|███████████████████████████████████████████████████▌ | 0.7929203539823009/1 [44:34<11:08, 3230.07s/it]\u001b[A\u001b[A" + " 79%|███████████████████████████████████████████████████▌ | 0.7929203539823009/1 [44:50<10:41, 3096.14s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:47> Block 449 of 565 complete - 79.47 % - created peptides 169,870 \n" + "2022-03-27 07:13:40> Block 449 of 565 complete - 79.47 % - created peptides 175,732 - total peptides 76,015,674 \n" ] }, { @@ -23055,14 +23029,14 @@ "text": [ "\n", "\n", - " 79%|███████████████████████████████████████████████████▋ | 0.7946902654867256/1 [44:38<10:21, 3026.48s/it]\u001b[A\u001b[A" + " 79%|███████████████████████████████████████████████████▋ | 0.7946902654867256/1 [44:56<11:05, 3243.26s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:51> Block 450 of 565 complete - 79.65 % - created peptides 175,732 \n" + "2022-03-27 07:13:46> Block 450 of 565 complete - 79.65 % - created peptides 169,870 - total peptides 76,185,544 \n" ] }, { @@ -23071,14 +23045,14 @@ "text": [ "\n", "\n", - " 80%|███████████████████████████████████████████████████▊ | 0.7964601769911505/1 [44:44<10:46, 3177.69s/it]\u001b[A\u001b[A" + " 80%|███████████████████████████████████████████████████▊ | 0.7964601769911505/1 [45:01<10:19, 3041.85s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:11:57> Block 451 of 565 complete - 79.82 % - created peptides 176,794 \n" + "2022-03-27 07:13:51> Block 451 of 565 complete - 79.82 % - created peptides 176,794 - total peptides 76,362,338 \n" ] }, { @@ -23087,14 +23061,14 @@ "text": [ "\n", "\n", - " 80%|███████████████████████████████████████████████████▉ | 0.7982300884955752/1 [44:51<11:10, 3321.11s/it]\u001b[A\u001b[A" + " 80%|███████████████████████████████████████████████████▉ | 0.7982300884955752/1 [45:07<10:42, 3184.43s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:04> Block 452 of 565 complete - 80.00 % - created peptides 181,852 \n" + "2022-03-27 07:13:57> Block 452 of 565 complete - 80.00 % - created peptides 178,022 - total peptides 76,540,360 \n" ] }, { @@ -23103,14 +23077,14 @@ "text": [ "\n", "\n", - " 80%|████████████████████████████████████████████████████████████████ | 0.8/1 [44:55<10:19, 3097.92s/it]\u001b[A\u001b[A" + " 80%|████████████████████████████████████████████████████████████████ | 0.8/1 [45:13<11:03, 3319.34s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:08> Block 453 of 565 complete - 80.18 % - created peptides 104,604 \n" + "2022-03-27 07:14:03> Block 453 of 565 complete - 80.18 % - created peptides 104,604 - total peptides 76,644,964 \n" ] }, { @@ -23119,14 +23093,14 @@ "text": [ "\n", "\n", - " 80%|████████████████████████████████████████████████████ | 0.8017699115044248/1 [45:02<10:41, 3238.27s/it]\u001b[A\u001b[A" + " 80%|████████████████████████████████████████████████████ | 0.8017699115044248/1 [45:18<10:12, 3092.24s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:15> Block 454 of 565 complete - 80.35 % - created peptides 178,022 \n" + "2022-03-27 07:14:08> Block 454 of 565 complete - 80.35 % - created peptides 181,852 - total peptides 76,826,816 \n" ] }, { @@ -23135,14 +23109,14 @@ "text": [ "\n", "\n", - " 80%|████████████████████████████████████████████████████▏ | 0.8035398230088495/1 [45:06<09:56, 3035.29s/it]\u001b[A\u001b[A" + " 80%|████████████████████████████████████████████████████▏ | 0.8035398230088495/1 [45:24<10:34, 3229.46s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:19> Block 455 of 565 complete - 80.53 % - created peptides 171,540 \n" + "2022-03-27 07:14:14> Block 455 of 565 complete - 80.53 % - created peptides 171,540 - total peptides 76,998,356 \n" ] }, { @@ -23151,14 +23125,14 @@ "text": [ "\n", "\n", - " 81%|████████████████████████████████████████████████████▎ | 0.8053097345132744/1 [45:12<10:17, 3172.11s/it]\u001b[A\u001b[A" + " 81%|████████████████████████████████████████████████████▎ | 0.8053097345132744/1 [45:31<10:55, 3365.34s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:25> Block 456 of 565 complete - 80.71 % - created peptides 177,552 \n" + "2022-03-27 07:14:21> Block 456 of 565 complete - 80.71 % - created peptides 185,540 - total peptides 77,183,896 \n" ] }, { @@ -23167,14 +23141,14 @@ "text": [ "\n", "\n", - " 81%|████████████████████████████████████████████████████▍ | 0.8070796460176991/1 [45:19<10:37, 3304.17s/it]\u001b[A\u001b[A" + " 81%|████████████████████████████████████████████████████▍ | 0.8070796460176991/1 [45:35<10:04, 3132.83s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:32> Block 457 of 565 complete - 80.88 % - created peptides 185,540 \n" + "2022-03-27 07:14:25> Block 457 of 565 complete - 80.88 % - created peptides 177,552 - total peptides 77,361,448 \n" ] }, { @@ -23183,14 +23157,14 @@ "text": [ "\n", "\n", - " 81%|████████████████████████████████████████████████████▌ | 0.8088495575221238/1 [45:23<09:49, 3083.91s/it]\u001b[A\u001b[A" + " 81%|████████████████████████████████████████████████████▌ | 0.8088495575221238/1 [45:42<10:25, 3273.77s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:36> Block 458 of 565 complete - 81.06 % - created peptides 181,172 \n" + "2022-03-27 07:14:32> Block 458 of 565 complete - 81.06 % - created peptides 164,706 - total peptides 77,526,154 \n" ] }, { @@ -23199,14 +23173,14 @@ "text": [ "\n", "\n", - " 81%|████████████████████████████████████████████████████▋ | 0.8106194690265487/1 [45:30<10:09, 3220.27s/it]\u001b[A\u001b[A" + " 81%|████████████████████████████████████████████████████▋ | 0.8106194690265487/1 [45:46<09:42, 3073.63s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:43> Block 459 of 565 complete - 81.24 % - created peptides 164,706 \n" + "2022-03-27 07:14:36> Block 459 of 565 complete - 81.24 % - created peptides 181,172 - total peptides 77,707,326 \n" ] }, { @@ -23215,14 +23189,14 @@ "text": [ "\n", "\n", - " 81%|████████████████████████████████████████████████████▊ | 0.8123893805309734/1 [45:34<09:26, 3021.04s/it]\u001b[A\u001b[A" + " 81%|████████████████████████████████████████████████████▊ | 0.8123893805309734/1 [45:53<10:02, 3210.89s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:47> Block 460 of 565 complete - 81.42 % - created peptides 167,852 \n" + "2022-03-27 07:14:43> Block 460 of 565 complete - 81.42 % - created peptides 167,852 - total peptides 77,875,178 \n" ] }, { @@ -23231,14 +23205,14 @@ "text": [ "\n", "\n", - " 81%|████████████████████████████████████████████████████▉ | 0.8141592920353983/1 [45:40<09:44, 3143.00s/it]\u001b[A\u001b[A" + " 81%|████████████████████████████████████████████████████▉ | 0.8141592920353983/1 [45:59<10:21, 3343.94s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:53> Block 461 of 565 complete - 81.59 % - created peptides 180,890 \n" + "2022-03-27 07:14:49> Block 461 of 565 complete - 81.59 % - created peptides 172,582 - total peptides 78,047,760 \n" ] }, { @@ -23247,14 +23221,14 @@ "text": [ "\n", "\n", - " 82%|█████████████████████████████████████████████████████▊ | 0.815929203539823/1 [45:46<10:00, 3264.54s/it]\u001b[A\u001b[A" + " 82%|█████████████████████████████████████████████████████▊ | 0.815929203539823/1 [46:04<09:33, 3115.22s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:12:59> Block 462 of 565 complete - 81.77 % - created peptides 172,582 \n" + "2022-03-27 07:14:54> Block 462 of 565 complete - 81.77 % - created peptides 180,890 - total peptides 78,228,650 \n" ] }, { @@ -23263,14 +23237,14 @@ "text": [ "\n", "\n", - " 82%|█████████████████████████████████████████████████████▏ | 0.8176991150442477/1 [45:51<09:19, 3068.54s/it]\u001b[A\u001b[A" + " 82%|█████████████████████████████████████████████████████▏ | 0.8176991150442477/1 [46:10<09:50, 3238.10s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:04> Block 463 of 565 complete - 81.95 % - created peptides 178,896 \n" + "2022-03-27 07:15:00> Block 463 of 565 complete - 81.95 % - created peptides 178,896 - total peptides 78,407,546 \n" ] }, { @@ -23279,14 +23253,14 @@ "text": [ "\n", "\n", - " 82%|█████████████████████████████████████████████████████▎ | 0.8194690265486726/1 [45:57<09:33, 3176.33s/it]\u001b[A\u001b[A" + " 82%|█████████████████████████████████████████████████████▎ | 0.8194690265486726/1 [46:16<10:05, 3356.22s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:10> Block 464 of 565 complete - 82.12 % - created peptides 179,826 \n" + "2022-03-27 07:15:06> Block 464 of 565 complete - 82.12 % - created peptides 171,080 - total peptides 78,578,626 \n" ] }, { @@ -23295,14 +23269,14 @@ "text": [ "\n", "\n", - " 82%|█████████████████████████████████████████████████████▍ | 0.8212389380530973/1 [46:03<09:46, 3282.83s/it]\u001b[A\u001b[A" + " 82%|█████████████████████████████████████████████████████▍ | 0.8212389380530973/1 [46:21<09:17, 3120.63s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:16> Block 465 of 565 complete - 82.30 % - created peptides 160,356 \n" + "2022-03-27 07:15:11> Block 465 of 565 complete - 82.30 % - created peptides 160,356 - total peptides 78,738,982 \n" ] }, { @@ -23311,14 +23285,14 @@ "text": [ "\n", "\n", - " 82%|█████████████████████████████████████████████████████▍ | 0.8230088495575221/1 [46:08<09:03, 3071.19s/it]\u001b[A\u001b[A" + " 82%|█████████████████████████████████████████████████████▍ | 0.8230088495575221/1 [46:27<09:34, 3245.77s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:21> Block 466 of 565 complete - 82.48 % - created peptides 171,080 \n" + "2022-03-27 07:15:17> Block 466 of 565 complete - 82.48 % - created peptides 179,826 - total peptides 78,918,808 \n" ] }, { @@ -23327,14 +23301,14 @@ "text": [ "\n", "\n", - " 82%|█████████████████████████████████████████████████████▌ | 0.8247787610619469/1 [46:14<09:15, 3170.88s/it]\u001b[A\u001b[A" + " 82%|█████████████████████████████████████████████████████▌ | 0.8247787610619469/1 [46:32<08:55, 3054.85s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:27> Block 467 of 565 complete - 82.65 % - created peptides 169,092 \n" + "2022-03-27 07:15:22> Block 467 of 565 complete - 82.65 % - created peptides 169,092 - total peptides 79,087,900 \n" ] }, { @@ -23343,14 +23317,14 @@ "text": [ "\n", "\n", - " 83%|█████████████████████████████████████████████████████▋ | 0.8265486725663717/1 [46:20<09:27, 3274.09s/it]\u001b[A\u001b[A" + " 83%|█████████████████████████████████████████████████████▋ | 0.8265486725663717/1 [46:38<09:08, 3164.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:33> Block 468 of 565 complete - 82.83 % - created peptides 170,448 \n" + "2022-03-27 07:15:28> Block 468 of 565 complete - 82.83 % - created peptides 170,448 - total peptides 79,258,348 \n" ] }, { @@ -23359,14 +23333,14 @@ "text": [ "\n", "\n", - " 83%|█████████████████████████████████████████████████████▊ | 0.8283185840707965/1 [46:25<08:45, 3058.66s/it]\u001b[A\u001b[A" + " 83%|█████████████████████████████████████████████████████▊ | 0.8283185840707965/1 [46:44<09:21, 3271.59s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:38> Block 469 of 565 complete - 83.01 % - created peptides 173,296 \n" + "2022-03-27 07:15:34> Block 469 of 565 complete - 83.01 % - created peptides 173,296 - total peptides 79,431,644 \n" ] }, { @@ -23375,14 +23349,14 @@ "text": [ "\n", "\n", - " 83%|█████████████████████████████████████████████████████▉ | 0.8300884955752212/1 [46:31<08:56, 3155.28s/it]\u001b[A\u001b[A" + " 83%|█████████████████████████████████████████████████████▉ | 0.8300884955752212/1 [46:50<09:32, 3370.90s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:44> Block 470 of 565 complete - 83.19 % - created peptides 162,104 \n" + "2022-03-27 07:15:40> Block 470 of 565 complete - 83.19 % - created peptides 189,090 - total peptides 79,620,734 \n" ] }, { @@ -23391,14 +23365,14 @@ "text": [ "\n", "\n", - " 83%|██████████████████████████████████████████████████████▉ | 0.831858407079646/1 [46:37<09:05, 3243.51s/it]\u001b[A\u001b[A" + " 83%|██████████████████████████████████████████████████████▉ | 0.831858407079646/1 [46:55<08:48, 3140.65s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:50> Block 471 of 565 complete - 83.36 % - created peptides 189,090 \n" + "2022-03-27 07:15:45> Block 471 of 565 complete - 83.36 % - created peptides 162,104 - total peptides 79,782,838 \n" ] }, { @@ -23407,14 +23381,14 @@ "text": [ "\n", "\n", - " 83%|██████████████████████████████████████████████████████▏ | 0.8336283185840708/1 [46:43<09:16, 3345.48s/it]\u001b[A\u001b[A" + " 83%|██████████████████████████████████████████████████████▏ | 0.8336283185840708/1 [47:01<08:58, 3235.76s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:13:56> Block 472 of 565 complete - 83.54 % - created peptides 161,166 \n" + "2022-03-27 07:15:51> Block 472 of 565 complete - 83.54 % - created peptides 176,972 - total peptides 79,959,810 \n" ] }, { @@ -23423,14 +23397,14 @@ "text": [ "\n", "\n", - " 84%|██████████████████████████████████████████████████████▎ | 0.8353982300884956/1 [46:48<08:31, 3110.07s/it]\u001b[A\u001b[A" + " 84%|██████████████████████████████████████████████████████▎ | 0.8353982300884956/1 [47:07<09:09, 3340.13s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:01> Block 473 of 565 complete - 83.72 % - created peptides 161,792 \n" + "2022-03-27 07:15:57> Block 473 of 565 complete - 83.72 % - created peptides 147,876 - total peptides 80,107,686 \n" ] }, { @@ -23439,14 +23413,14 @@ "text": [ "\n", "\n", - " 84%|██████████████████████████████████████████████████████▍ | 0.8371681415929203/1 [46:54<08:43, 3213.10s/it]\u001b[A\u001b[A" + " 84%|██████████████████████████████████████████████████████▍ | 0.8371681415929203/1 [47:12<08:25, 3106.69s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:07> Block 474 of 565 complete - 83.89 % - created peptides 180,662 \n" + "2022-03-27 07:16:02> Block 474 of 565 complete - 83.89 % - created peptides 161,166 - total peptides 80,268,852 \n" ] }, { @@ -23455,14 +23429,14 @@ "text": [ "\n", "\n", - " 84%|██████████████████████████████████████████████████████▌ | 0.8389380530973451/1 [47:00<08:52, 3307.06s/it]\u001b[A\u001b[A" + " 84%|██████████████████████████████████████████████████████▌ | 0.8389380530973451/1 [47:18<08:36, 3207.70s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:13> Block 475 of 565 complete - 84.07 % - created peptides 176,972 \n" + "2022-03-27 07:16:08> Block 475 of 565 complete - 84.07 % - created peptides 161,792 - total peptides 80,430,644 \n" ] }, { @@ -23471,14 +23445,14 @@ "text": [ "\n", "\n", - " 84%|██████████████████████████████████████████████████████▋ | 0.8407079646017699/1 [47:05<08:12, 3091.63s/it]\u001b[A\u001b[A" + " 84%|██████████████████████████████████████████████████████▋ | 0.8407079646017699/1 [47:24<08:45, 3299.54s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:18> Block 476 of 565 complete - 84.25 % - created peptides 176,992 \n" + "2022-03-27 07:16:14> Block 476 of 565 complete - 84.25 % - created peptides 180,662 - total peptides 80,611,306 \n" ] }, { @@ -23487,14 +23461,14 @@ "text": [ "\n", "\n", - " 84%|██████████████████████████████████████████████████████▊ | 0.8424778761061947/1 [47:11<08:21, 3184.37s/it]\u001b[A\u001b[A" + " 84%|██████████████████████████████████████████████████████▊ | 0.8424778761061947/1 [47:31<08:53, 3388.94s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:24> Block 477 of 565 complete - 84.42 % - created peptides 147,876 \n" + "2022-03-27 07:16:21> Block 477 of 565 complete - 84.42 % - created peptides 176,992 - total peptides 80,788,298 \n" ] }, { @@ -23503,14 +23477,14 @@ "text": [ "\n", "\n", - " 84%|██████████████████████████████████████████████████████▉ | 0.8442477876106195/1 [47:17<08:29, 3274.12s/it]\u001b[A\u001b[A" + " 84%|██████████████████████████████████████████████████████▉ | 0.8442477876106195/1 [47:35<08:10, 3150.53s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:30> Block 478 of 565 complete - 84.60 % - created peptides 170,088 \n" + "2022-03-27 07:16:25> Block 478 of 565 complete - 84.60 % - created peptides 170,088 - total peptides 80,958,386 \n" ] }, { @@ -23519,14 +23493,14 @@ "text": [ "\n", "\n", - " 85%|██████████████████████████████████████████████████████▉ | 0.8460176991150442/1 [47:23<08:37, 3361.52s/it]\u001b[A\u001b[A" + " 85%|██████████████████████████████████████████████████████▉ | 0.8460176991150442/1 [47:41<08:20, 3252.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:36> Block 479 of 565 complete - 84.78 % - created peptides 168,302 \n" + "2022-03-27 07:16:31> Block 479 of 565 complete - 84.78 % - created peptides 168,302 - total peptides 81,126,688 \n" ] }, { @@ -23535,14 +23509,14 @@ "text": [ "\n", "\n", - " 85%|███████████████████████████████████████████████████████ | 0.8477876106194691/1 [47:28<07:54, 3119.93s/it]\u001b[A\u001b[A" + " 85%|███████████████████████████████████████████████████████ | 0.8477876106194691/1 [47:48<08:29, 3346.56s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:41> Block 480 of 565 complete - 84.96 % - created peptides 183,710 \n" + "2022-03-27 07:16:38> Block 480 of 565 complete - 84.96 % - created peptides 169,372 - total peptides 81,296,060 \n" ] }, { @@ -23551,14 +23525,14 @@ "text": [ "\n", "\n", - " 85%|███████████████████████████████████████████████████████▏ | 0.8495575221238938/1 [47:34<08:04, 3219.35s/it]\u001b[A\u001b[A" + " 85%|███████████████████████████████████████████████████████▏ | 0.8495575221238938/1 [47:52<07:49, 3120.00s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:47> Block 481 of 565 complete - 85.13 % - created peptides 169,372 \n" + "2022-03-27 07:16:42> Block 481 of 565 complete - 85.13 % - created peptides 183,710 - total peptides 81,479,770 \n" ] }, { @@ -23567,14 +23541,14 @@ "text": [ "\n", "\n", - " 85%|███████████████████████████████████████████████████████▎ | 0.8513274336283185/1 [47:40<08:11, 3306.60s/it]\u001b[A\u001b[A" + " 85%|███████████████████████████████████████████████████████▎ | 0.8513274336283185/1 [47:58<08:00, 3229.12s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:53> Block 482 of 565 complete - 85.31 % - created peptides 188,022 \n" + "2022-03-27 07:16:49> Block 482 of 565 complete - 85.31 % - created peptides 188,022 - total peptides 81,667,792 \n" ] }, { @@ -23583,14 +23557,14 @@ "text": [ "\n", "\n", - " 85%|███████████████████████████████████████████████████████▍ | 0.8530973451327434/1 [47:45<07:33, 3084.80s/it]\u001b[A\u001b[A" + " 85%|███████████████████████████████████████████████████████▍ | 0.8530973451327434/1 [48:05<08:07, 3318.97s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:14:57> Block 483 of 565 complete - 85.49 % - created peptides 179,286 \n" + "2022-03-27 07:16:55> Block 483 of 565 complete - 85.49 % - created peptides 179,286 - total peptides 81,847,078 \n" ] }, { @@ -23599,14 +23573,14 @@ "text": [ "\n", "\n", - " 85%|███████████████████████████████████████████████████████▌ | 0.8548672566371681/1 [47:51<07:42, 3189.92s/it]\u001b[A\u001b[A" + " 85%|███████████████████████████████████████████████████████▌ | 0.8548672566371681/1 [48:09<07:29, 3099.54s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:04> Block 484 of 565 complete - 85.66 % - created peptides 168,666 \n" + "2022-03-27 07:16:59> Block 484 of 565 complete - 85.66 % - created peptides 168,666 - total peptides 82,015,744 \n" ] }, { @@ -23615,14 +23589,14 @@ "text": [ "\n", "\n", - " 86%|████████████████████████████████████████████████████████▌ | 0.856637168141593/1 [47:57<07:48, 3267.45s/it]\u001b[A\u001b[A" + " 86%|████████████████████████████████████████████████████████▌ | 0.856637168141593/1 [48:15<07:35, 3179.20s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:10> Block 485 of 565 complete - 85.84 % - created peptides 175,314 \n" + "2022-03-27 07:17:05> Block 485 of 565 complete - 85.84 % - created peptides 172,834 - total peptides 82,188,578 \n" ] }, { @@ -23631,14 +23605,14 @@ "text": [ "\n", "\n", - " 86%|███████████████████████████████████████████████████████▊ | 0.8584070796460177/1 [48:03<07:53, 3343.16s/it]\u001b[A\u001b[A" + " 86%|███████████████████████████████████████████████████████▊ | 0.8584070796460177/1 [48:21<07:39, 3243.62s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:16> Block 486 of 565 complete - 86.02 % - created peptides 171,778 \n" + "2022-03-27 07:17:11> Block 486 of 565 complete - 86.02 % - created peptides 175,314 - total peptides 82,363,892 \n" ] }, { @@ -23647,14 +23621,14 @@ "text": [ "\n", "\n", - " 86%|███████████████████████████████████████████████████████▉ | 0.8601769911504424/1 [48:08<07:15, 3117.28s/it]\u001b[A\u001b[A" + " 86%|███████████████████████████████████████████████████████▉ | 0.8601769911504424/1 [48:27<07:43, 3311.91s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:20> Block 487 of 565 complete - 86.19 % - created peptides 172,834 \n" + "2022-03-27 07:17:17> Block 487 of 565 complete - 86.19 % - created peptides 171,778 - total peptides 82,535,670 \n" ] }, { @@ -23663,14 +23637,14 @@ "text": [ "\n", "\n", - " 86%|████████████████████████████████████████████████████████ | 0.8619469026548673/1 [48:14<07:21, 3195.41s/it]\u001b[A\u001b[A" + " 86%|████████████████████████████████████████████████████████ | 0.8619469026548673/1 [48:34<07:46, 3379.21s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:26> Block 488 of 565 complete - 86.37 % - created peptides 171,168 \n" + "2022-03-27 07:17:24> Block 488 of 565 complete - 86.37 % - created peptides 171,168 - total peptides 82,706,838 \n" ] }, { @@ -23679,14 +23653,14 @@ "text": [ "\n", "\n", - " 86%|█████████████████████████████████████████████████████████ | 0.863716814159292/1 [48:20<07:24, 3262.99s/it]\u001b[A\u001b[A" + " 86%|█████████████████████████████████████████████████████████ | 0.863716814159292/1 [48:38<07:08, 3144.98s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:32> Block 489 of 565 complete - 86.55 % - created peptides 171,524 \n" + "2022-03-27 07:17:28> Block 489 of 565 complete - 86.55 % - created peptides 191,588 - total peptides 82,898,426 \n" ] }, { @@ -23695,14 +23669,14 @@ "text": [ "\n", "\n", - " 87%|████████████████████████████████████████████████████████▎ | 0.8654867256637168/1 [48:26<07:28, 3331.72s/it]\u001b[A\u001b[A" + " 87%|████████████████████████████████████████████████████████▎ | 0.8654867256637168/1 [48:44<07:12, 3218.79s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:39> Block 490 of 565 complete - 86.73 % - created peptides 191,588 \n" + "2022-03-27 07:17:34> Block 490 of 565 complete - 86.73 % - created peptides 171,524 - total peptides 83,069,950 \n" ] }, { @@ -23711,14 +23685,14 @@ "text": [ "\n", "\n", - " 87%|████████████████████████████████████████████████████████▎ | 0.8672566371681416/1 [48:30<06:52, 3104.31s/it]\u001b[A\u001b[A" + " 87%|████████████████████████████████████████████████████████▎ | 0.8672566371681416/1 [48:50<07:15, 3278.57s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:43> Block 491 of 565 complete - 86.90 % - created peptides 171,322 \n" + "2022-03-27 07:17:40> Block 491 of 565 complete - 86.90 % - created peptides 173,632 - total peptides 83,243,582 \n" ] }, { @@ -23727,14 +23701,14 @@ "text": [ "\n", "\n", - " 87%|████████████████████████████████████████████████████████▍ | 0.8690265486725663/1 [48:36<06:55, 3171.58s/it]\u001b[A\u001b[A" + " 87%|████████████████████████████████████████████████████████▍ | 0.8690265486725663/1 [48:56<07:17, 3337.15s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:49> Block 492 of 565 complete - 87.08 % - created peptides 173,632 \n" + "2022-03-27 07:17:47> Block 492 of 565 complete - 87.08 % - created peptides 160,536 - total peptides 83,404,118 \n" ] }, { @@ -23743,14 +23717,14 @@ "text": [ "\n", "\n", - " 87%|████████████████████████████████████████████████████████▌ | 0.8707964601769912/1 [48:42<06:57, 3229.15s/it]\u001b[A\u001b[A" + " 87%|████████████████████████████████████████████████████████▌ | 0.8707964601769912/1 [49:03<07:19, 3398.29s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:15:55> Block 493 of 565 complete - 87.26 % - created peptides 160,536 \n" + "2022-03-27 07:17:53> Block 493 of 565 complete - 87.26 % - created peptides 171,322 - total peptides 83,575,440 \n" ] }, { @@ -23759,14 +23733,14 @@ "text": [ "\n", "\n", - " 87%|████████████████████████████████████████████████████████▋ | 0.8725663716814159/1 [48:48<06:58, 3283.22s/it]\u001b[A\u001b[A" + " 87%|████████████████████████████████████████████████████████▋ | 0.8725663716814159/1 [49:07<06:42, 3159.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:01> Block 494 of 565 complete - 87.43 % - created peptides 162,994 \n" + "2022-03-27 07:17:57> Block 494 of 565 complete - 87.43 % - created peptides 162,994 - total peptides 83,738,434 \n" ] }, { @@ -23775,14 +23749,14 @@ "text": [ "\n", "\n", - " 87%|████████████████████████████████████████████████████████▊ | 0.8743362831858407/1 [48:54<06:59, 3334.82s/it]\u001b[A\u001b[A" + " 87%|████████████████████████████████████████████████████████▊ | 0.8743362831858407/1 [49:13<06:44, 3219.52s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:07> Block 495 of 565 complete - 87.61 % - created peptides 146,188 \n" + "2022-03-27 07:18:03> Block 495 of 565 complete - 87.61 % - created peptides 179,006 - total peptides 83,917,440 \n" ] }, { @@ -23791,14 +23765,14 @@ "text": [ "\n", "\n", - " 88%|████████████████████████████████████████████████████████▉ | 0.8761061946902655/1 [49:01<06:59, 3385.49s/it]\u001b[A\u001b[A" + " 88%|████████████████████████████████████████████████████████▉ | 0.8761061946902655/1 [49:19<06:44, 3266.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:13> Block 496 of 565 complete - 87.79 % - created peptides 179,006 \n" + "2022-03-27 07:18:09> Block 496 of 565 complete - 87.79 % - created peptides 146,188 - total peptides 84,063,628 \n" ] }, { @@ -23807,14 +23781,14 @@ "text": [ "\n", "\n", - " 88%|█████████████████████████████████████████████████████████ | 0.8778761061946903/1 [49:05<06:23, 3143.65s/it]\u001b[A\u001b[A" + " 88%|█████████████████████████████████████████████████████████ | 0.8778761061946903/1 [49:25<06:45, 3318.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:18> Block 497 of 565 complete - 87.96 % - created peptides 160,770 \n" + "2022-03-27 07:18:15> Block 497 of 565 complete - 87.96 % - created peptides 160,770 - total peptides 84,224,398 \n" ] }, { @@ -23823,14 +23797,14 @@ "text": [ "\n", "\n", - " 88%|██████████████████████████████████████████████████████████ | 0.879646017699115/1 [49:11<06:25, 3206.11s/it]\u001b[A\u001b[A" + " 88%|██████████████████████████████████████████████████████████ | 0.879646017699115/1 [49:32<06:45, 3368.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:24> Block 498 of 565 complete - 88.14 % - created peptides 165,784 \n" + "2022-03-27 07:18:22> Block 498 of 565 complete - 88.14 % - created peptides 113,892 - total peptides 84,338,290 \n" ] }, { @@ -23839,14 +23813,14 @@ "text": [ "\n", "\n", - " 88%|█████████████████████████████████████████████████████████▎ | 0.8814159292035398/1 [49:17<06:26, 3258.51s/it]\u001b[A\u001b[A" + " 88%|█████████████████████████████████████████████████████████▎ | 0.8814159292035398/1 [49:38<06:44, 3410.98s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:30> Block 499 of 565 complete - 88.32 % - created peptides 113,892 \n" + "2022-03-27 07:18:28> Block 499 of 565 complete - 88.32 % - created peptides 165,784 - total peptides 84,504,074 \n" ] }, { @@ -23855,14 +23829,14 @@ "text": [ "\n", "\n", - " 88%|█████████████████████████████████████████████████████████▍ | 0.8831858407079646/1 [49:23<06:25, 3301.59s/it]\u001b[A\u001b[A" + " 88%|█████████████████████████████████████████████████████████▍ | 0.8831858407079646/1 [49:42<06:10, 3167.52s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:36> Block 500 of 565 complete - 88.50 % - created peptides 173,960 \n" + "2022-03-27 07:18:32> Block 500 of 565 complete - 88.50 % - created peptides 184,776 - total peptides 84,688,850 \n" ] }, { @@ -23871,14 +23845,14 @@ "text": [ "\n", "\n", - " 88%|█████████████████████████████████████████████████████████▌ | 0.8849557522123894/1 [49:29<06:25, 3353.06s/it]\u001b[A\u001b[A" + " 88%|█████████████████████████████████████████████████████████▌ | 0.8849557522123894/1 [49:48<06:11, 3225.40s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:42> Block 501 of 565 complete - 88.67 % - created peptides 184,776 \n" + "2022-03-27 07:18:38> Block 501 of 565 complete - 88.67 % - created peptides 153,556 - total peptides 84,842,406 \n" ] }, { @@ -23887,14 +23861,14 @@ "text": [ "\n", "\n", - " 89%|█████████████████████████████████████████████████████████▋ | 0.8867256637168142/1 [49:34<05:53, 3120.30s/it]\u001b[A\u001b[A" + " 89%|█████████████████████████████████████████████████████████▋ | 0.8867256637168142/1 [49:54<06:09, 3266.22s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:47> Block 502 of 565 complete - 88.85 % - created peptides 153,556 \n" + "2022-03-27 07:18:44> Block 502 of 565 complete - 88.85 % - created peptides 167,022 - total peptides 85,009,428 \n" ] }, { @@ -23903,14 +23877,14 @@ "text": [ "\n", "\n", - " 89%|█████████████████████████████████████████████████████████▊ | 0.8884955752212389/1 [49:40<05:55, 3187.97s/it]\u001b[A\u001b[A" + " 89%|█████████████████████████████████████████████████████████▊ | 0.8884955752212389/1 [50:00<06:08, 3307.77s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:53> Block 503 of 565 complete - 89.03 % - created peptides 167,022 \n" + "2022-03-27 07:18:50> Block 503 of 565 complete - 89.03 % - created peptides 173,960 - total peptides 85,183,388 \n" ] }, { @@ -23919,14 +23893,14 @@ "text": [ "\n", "\n", - " 89%|█████████████████████████████████████████████████████████▊ | 0.8902654867256637/1 [49:45<05:53, 3219.74s/it]\u001b[A\u001b[A" + " 89%|█████████████████████████████████████████████████████████▊ | 0.8902654867256637/1 [50:06<06:07, 3351.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:16:58> Block 504 of 565 complete - 89.20 % - created peptides 167,376 \n" + "2022-03-27 07:18:56> Block 504 of 565 complete - 89.20 % - created peptides 167,376 - total peptides 85,350,764 \n" ] }, { @@ -23935,14 +23909,14 @@ "text": [ "\n", "\n", - " 89%|█████████████████████████████████████████████████████████▉ | 0.8920353982300885/1 [49:51<05:51, 3252.58s/it]\u001b[A\u001b[A" + " 89%|█████████████████████████████████████████████████████████▉ | 0.8920353982300885/1 [50:12<06:05, 3382.04s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:04> Block 505 of 565 complete - 89.38 % - created peptides 165,952 \n" + "2022-03-27 07:19:03> Block 505 of 565 complete - 89.38 % - created peptides 165,952 - total peptides 85,516,716 \n" ] }, { @@ -23951,14 +23925,14 @@ "text": [ "\n", "\n", - " 89%|██████████████████████████████████████████████████████████ | 0.8938053097345132/1 [49:57<05:47, 3275.64s/it]\u001b[A\u001b[A" + " 89%|██████████████████████████████████████████████████████████ | 0.8938053097345132/1 [50:19<06:03, 3425.90s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:10> Block 506 of 565 complete - 89.56 % - created peptides 185,192 \n" + "2022-03-27 07:19:09> Block 506 of 565 complete - 89.56 % - created peptides 185,192 - total peptides 85,701,908 \n" ] }, { @@ -23967,14 +23941,14 @@ "text": [ "\n", "\n", - " 90%|██████████████████████████████████████████████████████████▏ | 0.8955752212389381/1 [50:03<05:44, 3296.65s/it]\u001b[A\u001b[A" + " 90%|██████████████████████████████████████████████████████████▏ | 0.8955752212389381/1 [50:23<05:32, 3184.50s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:16> Block 507 of 565 complete - 89.73 % - created peptides 174,624 \n" + "2022-03-27 07:19:13> Block 507 of 565 complete - 89.73 % - created peptides 174,624 - total peptides 85,876,532 \n" ] }, { @@ -23983,14 +23957,14 @@ "text": [ "\n", "\n", - " 90%|██████████████████████████████████████████████████████████▎ | 0.8973451327433628/1 [50:09<05:40, 3320.03s/it]\u001b[A\u001b[A" + " 90%|██████████████████████████████████████████████████████████▎ | 0.8973451327433628/1 [50:29<05:31, 3226.22s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:22> Block 508 of 565 complete - 89.91 % - created peptides 171,150 \n" + "2022-03-27 07:19:19> Block 508 of 565 complete - 89.91 % - created peptides 181,952 - total peptides 86,058,484 \n" ] }, { @@ -23999,14 +23973,14 @@ "text": [ "\n", "\n", - " 90%|██████████████████████████████████████████████████████████▍ | 0.8991150442477877/1 [50:15<05:37, 3341.07s/it]\u001b[A\u001b[A" + " 90%|██████████████████████████████████████████████████████████▍ | 0.8991150442477877/1 [50:35<05:28, 3257.45s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:28> Block 509 of 565 complete - 90.09 % - created peptides 181,952 \n" + "2022-03-27 07:19:25> Block 509 of 565 complete - 90.09 % - created peptides 163,840 - total peptides 86,222,324 \n" ] }, { @@ -24015,14 +23989,14 @@ "text": [ "\n", "\n", - " 90%|██████████████████████████████████████████████████████████▌ | 0.9008849557522124/1 [50:21<05:33, 3364.13s/it]\u001b[A\u001b[A" + " 90%|██████████████████████████████████████████████████████████▌ | 0.9008849557522124/1 [50:41<05:24, 3277.15s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:34> Block 510 of 565 complete - 90.27 % - created peptides 163,840 \n" + "2022-03-27 07:19:31> Block 510 of 565 complete - 90.27 % - created peptides 171,150 - total peptides 86,393,474 \n" ] }, { @@ -24031,14 +24005,14 @@ "text": [ "\n", "\n", - " 90%|██████████████████████████████████████████████████████████▋ | 0.9026548672566371/1 [50:27<05:30, 3392.63s/it]\u001b[A\u001b[A" + " 90%|██████████████████████████████████████████████████████████▋ | 0.9026548672566371/1 [50:47<05:23, 3319.01s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:40> Block 511 of 565 complete - 90.44 % - created peptides 170,734 \n" + "2022-03-27 07:19:37> Block 511 of 565 complete - 90.44 % - created peptides 170,734 - total peptides 86,564,208 \n" ] }, { @@ -24047,14 +24021,14 @@ "text": [ "\n", "\n", - " 90%|███████████████████████████████████████████████████████████▋ | 0.904424778761062/1 [50:32<05:01, 3151.90s/it]\u001b[A\u001b[A" + " 90%|███████████████████████████████████████████████████████████▋ | 0.904424778761062/1 [50:53<05:18, 3335.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:45> Block 512 of 565 complete - 90.62 % - created peptides 192,990 \n" + "2022-03-27 07:19:43> Block 512 of 565 complete - 90.62 % - created peptides 175,082 - total peptides 86,739,290 \n" ] }, { @@ -24063,14 +24037,14 @@ "text": [ "\n", "\n", - " 91%|██████████████████████████████████████████████████████████▉ | 0.9061946902654867/1 [50:38<04:59, 3190.04s/it]\u001b[A\u001b[A" + " 91%|██████████████████████████████████████████████████████████▉ | 0.9061946902654867/1 [50:59<05:16, 3372.00s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:51> Block 513 of 565 complete - 90.80 % - created peptides 175,082 \n" + "2022-03-27 07:19:49> Block 513 of 565 complete - 90.80 % - created peptides 192,990 - total peptides 86,932,280 \n" ] }, { @@ -24079,14 +24053,14 @@ "text": [ "\n", "\n", - " 91%|███████████████████████████████████████████████████████████ | 0.9079646017699115/1 [50:43<04:54, 3201.76s/it]\u001b[A\u001b[A" + " 91%|███████████████████████████████████████████████████████████ | 0.9079646017699115/1 [51:05<05:12, 3394.48s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:17:56> Block 514 of 565 complete - 90.97 % - created peptides 170,590 \n" + "2022-03-27 07:19:55> Block 514 of 565 complete - 90.97 % - created peptides 170,590 - total peptides 87,102,870 \n" ] }, { @@ -24095,14 +24069,14 @@ "text": [ "\n", "\n", - " 91%|███████████████████████████████████████████████████████████▏ | 0.9097345132743363/1 [50:49<04:49, 3207.79s/it]\u001b[A\u001b[A" + " 91%|███████████████████████████████████████████████████████████▏ | 0.9097345132743363/1 [51:11<05:07, 3409.66s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:02> Block 515 of 565 complete - 91.15 % - created peptides 193,320 \n" + "2022-03-27 07:20:01> Block 515 of 565 complete - 91.15 % - created peptides 176,848 - total peptides 87,279,718 \n" ] }, { @@ -24111,14 +24085,14 @@ "text": [ "\n", "\n", - " 91%|████████████████████████████████████████████████████████████▏ | 0.911504424778761/1 [50:56<05:05, 3456.26s/it]\u001b[A\u001b[A" + " 91%|████████████████████████████████████████████████████████████▏ | 0.911504424778761/1 [51:18<05:03, 3429.67s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:09> Block 516 of 565 complete - 91.33 % - created peptides 176,848 \n" + "2022-03-27 07:20:08> Block 516 of 565 complete - 91.33 % - created peptides 181,442 - total peptides 87,461,160 \n" ] }, { @@ -24127,14 +24101,14 @@ "text": [ "\n", "\n", - " 91%|███████████████████████████████████████████████████████████▎ | 0.9132743362831859/1 [51:01<04:37, 3196.40s/it]\u001b[A\u001b[A" + " 91%|███████████████████████████████████████████████████████████▎ | 0.9132743362831859/1 [51:23<04:54, 3394.06s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:14> Block 517 of 565 complete - 91.50 % - created peptides 181,442 \n" + "2022-03-27 07:20:13> Block 517 of 565 complete - 91.50 % - created peptides 193,320 - total peptides 87,654,480 \n" ] }, { @@ -24143,14 +24117,14 @@ "text": [ "\n", "\n", - " 92%|███████████████████████████████████████████████████████████▍ | 0.9150442477876106/1 [51:08<04:52, 3444.82s/it]\u001b[A\u001b[A" + " 92%|███████████████████████████████████████████████████████████▍ | 0.9150442477876106/1 [51:29<04:45, 3360.30s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:21> Block 518 of 565 complete - 91.68 % - created peptides 149,582 \n" + "2022-03-27 07:20:19> Block 518 of 565 complete - 91.68 % - created peptides 160,378 - total peptides 87,814,858 \n" ] }, { @@ -24159,14 +24133,14 @@ "text": [ "\n", "\n", - " 92%|███████████████████████████████████████████████████████████▌ | 0.9168141592920354/1 [51:13<04:24, 3183.09s/it]\u001b[A\u001b[A" + " 92%|███████████████████████████████████████████████████████████▌ | 0.9168141592920354/1 [51:35<04:37, 3331.80s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:25> Block 519 of 565 complete - 91.86 % - created peptides 160,378 \n" + "2022-03-27 07:20:25> Block 519 of 565 complete - 91.86 % - created peptides 149,582 - total peptides 87,964,440 \n" ] }, { @@ -24175,14 +24149,14 @@ "text": [ "\n", "\n", - " 92%|███████████████████████████████████████████████████████████▋ | 0.9185840707964602/1 [51:20<04:39, 3428.28s/it]\u001b[A\u001b[A" + " 92%|███████████████████████████████████████████████████████████▋ | 0.9185840707964602/1 [51:42<04:49, 3557.93s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:33> Block 520 of 565 complete - 92.04 % - created peptides 149,742 \n" + "2022-03-27 07:20:32> Block 520 of 565 complete - 92.04 % - created peptides 190,912 - total peptides 88,155,352 \n" ] }, { @@ -24191,14 +24165,14 @@ "text": [ "\n", "\n", - " 92%|███████████████████████████████████████████████████████████▊ | 0.9203539823008849/1 [51:24<04:12, 3174.27s/it]\u001b[A\u001b[A" + " 92%|███████████████████████████████████████████████████████████▊ | 0.9203539823008849/1 [51:47<04:21, 3277.59s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:37> Block 521 of 565 complete - 92.21 % - created peptides 190,912 \n" + "2022-03-27 07:20:37> Block 521 of 565 complete - 92.21 % - created peptides 178,160 - total peptides 88,333,512 \n" ] }, { @@ -24207,14 +24181,14 @@ "text": [ "\n", "\n", - " 92%|███████████████████████████████████████████████████████████▉ | 0.9221238938053097/1 [51:31<04:26, 3416.35s/it]\u001b[A\u001b[A" + " 92%|███████████████████████████████████████████████████████████▉ | 0.9221238938053097/1 [51:54<04:33, 3510.47s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:44> Block 522 of 565 complete - 92.39 % - created peptides 178,160 \n" + "2022-03-27 07:20:44> Block 522 of 565 complete - 92.39 % - created peptides 149,742 - total peptides 88,483,254 \n" ] }, { @@ -24223,14 +24197,14 @@ "text": [ "\n", "\n", - " 92%|████████████████████████████████████████████████████████████ | 0.9238938053097345/1 [51:37<04:19, 3411.08s/it]\u001b[A\u001b[A" + " 92%|████████████████████████████████████████████████████████████ | 0.9238938053097345/1 [51:59<04:07, 3255.28s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:50> Block 523 of 565 complete - 92.57 % - created peptides 143,122 \n" + "2022-03-27 07:20:49> Block 523 of 565 complete - 92.57 % - created peptides 143,122 - total peptides 88,626,376 \n" ] }, { @@ -24239,14 +24213,14 @@ "text": [ "\n", "\n", - " 93%|████████████████████████████████████████████████████████████▏ | 0.9256637168141593/1 [51:42<03:54, 3159.53s/it]\u001b[A\u001b[A" + " 93%|████████████████████████████████████████████████████████████▏ | 0.9256637168141593/1 [52:06<04:17, 3469.42s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:18:55> Block 524 of 565 complete - 92.74 % - created peptides 154,686 \n" + "2022-03-27 07:20:56> Block 524 of 565 complete - 92.74 % - created peptides 205,926 - total peptides 88,832,302 \n" ] }, { @@ -24255,14 +24229,14 @@ "text": [ "\n", "\n", - " 93%|████████████████████████████████████████████████████████████▎ | 0.9274336283185841/1 [51:49<04:06, 3391.30s/it]\u001b[A\u001b[A" + " 93%|████████████████████████████████████████████████████████████▎ | 0.9274336283185841/1 [52:12<04:10, 3453.38s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:02> Block 525 of 565 complete - 92.92 % - created peptides 205,926 \n" + "2022-03-27 07:21:02> Block 525 of 565 complete - 92.92 % - created peptides 154,686 - total peptides 88,986,988 \n" ] }, { @@ -24271,14 +24245,14 @@ "text": [ "\n", "\n", - " 93%|████████████████████████████████████████████████████████████▍ | 0.9292035398230089/1 [51:55<04:00, 3390.74s/it]\u001b[A\u001b[A" + " 93%|████████████████████████████████████████████████████████████▍ | 0.9292035398230089/1 [52:18<04:03, 3435.58s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:08> Block 526 of 565 complete - 93.10 % - created peptides 142,578 \n" + "2022-03-27 07:21:08> Block 526 of 565 complete - 93.10 % - created peptides 184,540 - total peptides 89,171,528 \n" ] }, { @@ -24287,14 +24261,14 @@ "text": [ "\n", "\n", - " 93%|████████████████████████████████████████████████████████████▌ | 0.9309734513274336/1 [52:01<03:53, 3379.86s/it]\u001b[A\u001b[A" + " 93%|████████████████████████████████████████████████████████████▌ | 0.9309734513274336/1 [52:24<03:56, 3426.71s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:14> Block 527 of 565 complete - 93.27 % - created peptides 184,540 \n" + "2022-03-27 07:21:14> Block 527 of 565 complete - 93.27 % - created peptides 157,008 - total peptides 89,328,536 \n" ] }, { @@ -24303,14 +24277,14 @@ "text": [ "\n", "\n", - " 93%|████████████████████████████████████████████████████████████▋ | 0.9327433628318584/1 [52:07<03:47, 3377.72s/it]\u001b[A\u001b[A" + " 93%|████████████████████████████████████████████████████████████▋ | 0.9327433628318584/1 [52:30<03:50, 3426.15s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:20> Block 528 of 565 complete - 93.45 % - created peptides 157,008 \n" + "2022-03-27 07:21:20> Block 528 of 565 complete - 93.45 % - created peptides 142,578 - total peptides 89,471,114 \n" ] }, { @@ -24319,14 +24293,14 @@ "text": [ "\n", "\n", - " 93%|████████████████████████████████████████████████████████████▋ | 0.9345132743362832/1 [52:13<03:41, 3383.10s/it]\u001b[A\u001b[A" + " 93%|████████████████████████████████████████████████████████████▋ | 0.9345132743362832/1 [52:36<03:43, 3413.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:26> Block 529 of 565 complete - 93.63 % - created peptides 149,452 \n" + "2022-03-27 07:21:26> Block 529 of 565 complete - 93.63 % - created peptides 149,452 - total peptides 89,620,566 \n" ] }, { @@ -24335,14 +24309,14 @@ "text": [ "\n", "\n", - " 94%|████████████████████████████████████████████████████████████▊ | 0.9362831858407079/1 [52:19<03:35, 3383.33s/it]\u001b[A\u001b[A" + " 94%|████████████████████████████████████████████████████████████▊ | 0.9362831858407079/1 [52:42<03:37, 3407.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:32> Block 530 of 565 complete - 93.81 % - created peptides 173,692 \n" + "2022-03-27 07:21:32> Block 530 of 565 complete - 93.81 % - created peptides 173,692 - total peptides 89,794,258 \n" ] }, { @@ -24351,14 +24325,14 @@ "text": [ "\n", "\n", - " 94%|████████████████████████████████████████████████████████████▉ | 0.9380530973451328/1 [52:25<03:29, 3383.03s/it]\u001b[A\u001b[A" + " 94%|████████████████████████████████████████████████████████████▉ | 0.9380530973451328/1 [52:48<03:30, 3403.48s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:38> Block 531 of 565 complete - 93.98 % - created peptides 126,930 \n" + "2022-03-27 07:21:38> Block 531 of 565 complete - 93.98 % - created peptides 126,930 - total peptides 89,921,188 \n" ] }, { @@ -24367,14 +24341,14 @@ "text": [ "\n", "\n", - " 94%|█████████████████████████████████████████████████████████████ | 0.9398230088495575/1 [52:29<03:09, 3148.89s/it]\u001b[A\u001b[A" + " 94%|█████████████████████████████████████████████████████████████ | 0.9398230088495575/1 [52:54<03:24, 3404.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:42> Block 532 of 565 complete - 94.16 % - created peptides 168,528 \n" + "2022-03-27 07:21:44> Block 532 of 565 complete - 94.16 % - created peptides 168,528 - total peptides 90,089,716 \n" ] }, { @@ -24383,14 +24357,14 @@ "text": [ "\n", "\n", - " 94%|█████████████████████████████████████████████████████████████▏ | 0.9415929203539823/1 [52:36<03:16, 3363.10s/it]\u001b[A\u001b[A" + " 94%|█████████████████████████████████████████████████████████████▏ | 0.9415929203539823/1 [53:00<03:19, 3409.98s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:49> Block 533 of 565 complete - 94.34 % - created peptides 137,432 \n" + "2022-03-27 07:21:50> Block 533 of 565 complete - 94.34 % - created peptides 137,432 - total peptides 90,227,148 \n" ] }, { @@ -24399,14 +24373,14 @@ "text": [ "\n", "\n", - " 94%|█████████████████████████████████████████████████████████████▎ | 0.9433628318584071/1 [52:42<03:09, 3347.84s/it]\u001b[A\u001b[A" + " 94%|█████████████████████████████████████████████████████████████▎ | 0.9433628318584071/1 [53:06<03:13, 3408.69s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:19:55> Block 534 of 565 complete - 94.51 % - created peptides 125,894 \n" + "2022-03-27 07:21:56> Block 534 of 565 complete - 94.51 % - created peptides 161,382 - total peptides 90,388,530 \n" ] }, { @@ -24415,14 +24389,14 @@ "text": [ "\n", "\n", - " 95%|█████████████████████████████████████████████████████████████▍ | 0.9451327433628318/1 [52:48<03:02, 3323.53s/it]\u001b[A\u001b[A" + " 95%|█████████████████████████████████████████████████████████████▍ | 0.9451327433628318/1 [53:12<03:06, 3402.73s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:01> Block 535 of 565 complete - 94.69 % - created peptides 161,382 \n" + "2022-03-27 07:22:02> Block 535 of 565 complete - 94.69 % - created peptides 125,894 - total peptides 90,514,424 \n" ] }, { @@ -24431,14 +24405,14 @@ "text": [ "\n", "\n", - " 95%|█████████████████████████████████████████████████████████████▌ | 0.9469026548672567/1 [52:54<02:55, 3308.75s/it]\u001b[A\u001b[A" + " 95%|█████████████████████████████████████████████████████████████▌ | 0.9469026548672567/1 [53:18<03:00, 3397.03s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:06> Block 536 of 565 complete - 94.87 % - created peptides 132,404 \n" + "2022-03-27 07:22:08> Block 536 of 565 complete - 94.87 % - created peptides 132,404 - total peptides 90,646,828 \n" ] }, { @@ -24447,14 +24421,14 @@ "text": [ "\n", "\n", - " 95%|█████████████████████████████████████████████████████████████▋ | 0.9486725663716814/1 [52:59<02:48, 3277.36s/it]\u001b[A\u001b[A" + " 95%|█████████████████████████████████████████████████████████████▋ | 0.9486725663716814/1 [53:24<02:53, 3386.47s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:12> Block 537 of 565 complete - 95.04 % - created peptides 141,800 \n" + "2022-03-27 07:22:14> Block 537 of 565 complete - 95.04 % - created peptides 141,800 - total peptides 90,788,628 \n" ] }, { @@ -24463,14 +24437,14 @@ "text": [ "\n", "\n", - " 95%|█████████████████████████████████████████████████████████████▊ | 0.9504424778761061/1 [53:06<02:51, 3468.69s/it]\u001b[A\u001b[A" + " 95%|█████████████████████████████████████████████████████████████▊ | 0.9504424778761061/1 [53:30<02:47, 3377.35s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:19> Block 538 of 565 complete - 95.22 % - created peptides 169,904 \n" + "2022-03-27 07:22:20> Block 538 of 565 complete - 95.22 % - created peptides 169,904 - total peptides 90,958,532 \n" ] }, { @@ -24479,14 +24453,14 @@ "text": [ "\n", "\n", - " 95%|██████████████████████████████████████████████████████████████▊ | 0.952212389380531/1 [53:12<02:43, 3429.86s/it]\u001b[A\u001b[A" + " 95%|██████████████████████████████████████████████████████████████▊ | 0.952212389380531/1 [53:36<02:41, 3370.32s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:25> Block 539 of 565 complete - 95.40 % - created peptides 133,970 \n" + "2022-03-27 07:22:26> Block 539 of 565 complete - 95.40 % - created peptides 133,970 - total peptides 91,092,502 \n" ] }, { @@ -24495,14 +24469,14 @@ "text": [ "\n", "\n", - " 95%|██████████████████████████████████████████████████████████████ | 0.9539823008849557/1 [53:18<02:36, 3396.05s/it]\u001b[A\u001b[A" + " 95%|██████████████████████████████████████████████████████████████ | 0.9539823008849557/1 [53:42<02:34, 3351.53s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:31> Block 540 of 565 complete - 95.58 % - created peptides 132,258 \n" + "2022-03-27 07:22:32> Block 540 of 565 complete - 95.58 % - created peptides 132,258 - total peptides 91,224,760 \n" ] }, { @@ -24511,14 +24485,14 @@ "text": [ "\n", "\n", - " 96%|██████████████████████████████████████████████████████████████ | 0.9557522123893806/1 [53:24<02:28, 3365.34s/it]\u001b[A\u001b[A" + " 96%|██████████████████████████████████████████████████████████████ | 0.9557522123893806/1 [53:48<02:27, 3333.46s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:37> Block 541 of 565 complete - 95.75 % - created peptides 141,066 \n" + "2022-03-27 07:22:38> Block 541 of 565 complete - 95.75 % - created peptides 186,952 - total peptides 91,411,712 \n" ] }, { @@ -24527,14 +24501,14 @@ "text": [ "\n", "\n", - " 96%|██████████████████████████████████████████████████████████████▏ | 0.9575221238938053/1 [53:30<02:21, 3336.86s/it]\u001b[A\u001b[A" + " 96%|██████████████████████████████████████████████████████████████▏ | 0.9575221238938053/1 [53:53<02:20, 3317.59s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:42> Block 542 of 565 complete - 95.93 % - created peptides 130,040 \n" + "2022-03-27 07:22:43> Block 542 of 565 complete - 95.93 % - created peptides 130,040 - total peptides 91,541,752 \n" ] }, { @@ -24543,14 +24517,14 @@ "text": [ "\n", "\n", - " 96%|████████████████████████████████████████████████████████████████▎ | 0.95929203539823/1 [53:35<02:14, 3302.94s/it]\u001b[A\u001b[A" + " 96%|████████████████████████████████████████████████████████████████▎ | 0.95929203539823/1 [53:59<02:13, 3288.44s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:48> Block 543 of 565 complete - 96.11 % - created peptides 186,952 \n" + "2022-03-27 07:22:49> Block 543 of 565 complete - 96.11 % - created peptides 135,644 - total peptides 91,677,396 \n" ] }, { @@ -24559,14 +24533,14 @@ "text": [ "\n", "\n", - " 96%|██████████████████████████████████████████████████████████████▍ | 0.9610619469026549/1 [53:41<02:07, 3269.26s/it]\u001b[A\u001b[A" + " 96%|██████████████████████████████████████████████████████████████▍ | 0.9610619469026549/1 [54:06<02:14, 3450.20s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:20:54> Block 544 of 565 complete - 96.28 % - created peptides 135,644 \n" + "2022-03-27 07:22:56> Block 544 of 565 complete - 96.28 % - created peptides 141,066 - total peptides 91,818,462 \n" ] }, { @@ -24575,14 +24549,14 @@ "text": [ "\n", "\n", - " 96%|██████████████████████████████████████████████████████████████▌ | 0.9628318584070796/1 [53:48<02:07, 3440.35s/it]\u001b[A\u001b[A" + " 96%|██████████████████████████████████████████████████████████████▌ | 0.9628318584070796/1 [54:12<02:06, 3392.15s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:01> Block 545 of 565 complete - 96.46 % - created peptides 138,306 \n" + "2022-03-27 07:23:02> Block 545 of 565 complete - 96.46 % - created peptides 138,306 - total peptides 91,956,768 \n" ] }, { @@ -24591,14 +24565,14 @@ "text": [ "\n", "\n", - " 96%|██████████████████████████████████████████████████████████████▋ | 0.9646017699115044/1 [53:54<02:00, 3401.88s/it]\u001b[A\u001b[A" + " 96%|██████████████████████████████████████████████████████████████▋ | 0.9646017699115044/1 [54:17<01:58, 3340.70s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:06> Block 546 of 565 complete - 96.64 % - created peptides 135,316 \n" + "2022-03-27 07:23:07> Block 546 of 565 complete - 96.64 % - created peptides 135,316 - total peptides 92,092,084 \n" ] }, { @@ -24607,14 +24581,14 @@ "text": [ "\n", "\n", - " 97%|██████████████████████████████████████████████████████████████▊ | 0.9663716814159292/1 [53:59<01:52, 3353.05s/it]\u001b[A\u001b[A" + " 97%|██████████████████████████████████████████████████████████████▊ | 0.9663716814159292/1 [54:24<01:57, 3496.68s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:12> Block 547 of 565 complete - 96.81 % - created peptides 152,056 \n" + "2022-03-27 07:23:14> Block 547 of 565 complete - 96.81 % - created peptides 182,570 - total peptides 92,274,654 \n" ] }, { @@ -24623,14 +24597,14 @@ "text": [ "\n", "\n", - " 97%|███████████████████████████████████████████████████████████████▉ | 0.968141592920354/1 [54:05<01:45, 3298.19s/it]\u001b[A\u001b[A" + " 97%|███████████████████████████████████████████████████████████████▉ | 0.968141592920354/1 [54:30<01:49, 3440.57s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:18> Block 548 of 565 complete - 96.99 % - created peptides 182,570 \n" + "2022-03-27 07:23:20> Block 548 of 565 complete - 96.99 % - created peptides 152,056 - total peptides 92,426,710 \n" ] }, { @@ -24639,14 +24613,14 @@ "text": [ "\n", "\n", - " 97%|███████████████████████████████████████████████████████████████ | 0.9699115044247788/1 [54:12<01:43, 3448.73s/it]\u001b[A\u001b[A" + " 97%|███████████████████████████████████████████████████████████████ | 0.9699115044247788/1 [54:36<01:41, 3371.55s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:25> Block 549 of 565 complete - 97.17 % - created peptides 153,930 \n" + "2022-03-27 07:23:26> Block 549 of 565 complete - 97.17 % - created peptides 203,298 - total peptides 92,630,008 \n" ] }, { @@ -24655,14 +24629,14 @@ "text": [ "\n", "\n", - " 97%|███████████████████████████████████████████████████████████████▏ | 0.9716814159292035/1 [54:17<01:35, 3380.24s/it]\u001b[A\u001b[A" + " 97%|███████████████████████████████████████████████████████████████▏ | 0.9716814159292035/1 [54:42<01:39, 3520.81s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:30> Block 550 of 565 complete - 97.35 % - created peptides 162,856 \n" + "2022-03-27 07:23:33> Block 550 of 565 complete - 97.35 % - created peptides 162,856 - total peptides 92,792,864 \n" ] }, { @@ -24671,14 +24645,14 @@ "text": [ "\n", "\n", - " 97%|███████████████████████████████████████████████████████████████▎ | 0.9734513274336283/1 [54:23<01:28, 3316.83s/it]\u001b[A\u001b[A" + " 97%|███████████████████████████████████████████████████████████████▎ | 0.9734513274336283/1 [54:48<01:32, 3477.83s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:36> Block 551 of 565 complete - 97.52 % - created peptides 203,298 \n" + "2022-03-27 07:23:38> Block 551 of 565 complete - 97.52 % - created peptides 153,930 - total peptides 92,946,794 \n" ] }, { @@ -24687,14 +24661,14 @@ "text": [ "\n", "\n", - " 98%|███████████████████████████████████████████████████████████████▍ | 0.9752212389380531/1 [54:30<01:25, 3449.35s/it]\u001b[A\u001b[A" + " 98%|███████████████████████████████████████████████████████████████▍ | 0.9752212389380531/1 [54:54<01:24, 3400.71s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:43> Block 552 of 565 complete - 97.70 % - created peptides 162,482 \n" + "2022-03-27 07:23:44> Block 552 of 565 complete - 97.70 % - created peptides 143,800 - total peptides 93,090,594 \n" ] }, { @@ -24703,14 +24677,14 @@ "text": [ "\n", "\n", - " 98%|███████████████████████████████████████████████████████████████▌ | 0.9769911504424779/1 [54:35<01:17, 3369.30s/it]\u001b[A\u001b[A" + " 98%|███████████████████████████████████████████████████████████████▌ | 0.9769911504424779/1 [55:01<01:21, 3524.86s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:48> Block 553 of 565 complete - 97.88 % - created peptides 143,800 \n" + "2022-03-27 07:23:51> Block 553 of 565 complete - 97.88 % - created peptides 162,482 - total peptides 93,253,076 \n" ] }, { @@ -24719,14 +24693,14 @@ "text": [ "\n", "\n", - " 98%|███████████████████████████████████████████████████████████████▌ | 0.9787610619469026/1 [54:42<01:14, 3485.00s/it]\u001b[A\u001b[A" + " 98%|███████████████████████████████████████████████████████████████▌ | 0.9787610619469026/1 [55:07<01:13, 3439.92s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:21:55> Block 554 of 565 complete - 98.05 % - created peptides 140,108 \n" + "2022-03-27 07:23:57> Block 554 of 565 complete - 98.05 % - created peptides 190,298 - total peptides 93,443,374 \n" ] }, { @@ -24735,14 +24709,14 @@ "text": [ "\n", "\n", - " 98%|███████████████████████████████████████████████████████████████▋ | 0.9805309734513274/1 [54:47<01:06, 3395.98s/it]\u001b[A\u001b[A" + " 98%|███████████████████████████████████████████████████████████████▋ | 0.9805309734513274/1 [55:12<01:05, 3365.10s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:00> Block 555 of 565 complete - 98.23 % - created peptides 187,358 \n" + "2022-03-27 07:24:02> Block 555 of 565 complete - 98.23 % - created peptides 187,358 - total peptides 93,630,732 \n" ] }, { @@ -24751,14 +24725,14 @@ "text": [ "\n", "\n", - " 98%|███████████████████████████████████████████████████████████████▊ | 0.9823008849557522/1 [54:54<01:02, 3524.77s/it]\u001b[A\u001b[A" + " 98%|███████████████████████████████████████████████████████████████▊ | 0.9823008849557522/1 [55:19<01:01, 3478.64s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:07> Block 556 of 565 complete - 98.41 % - created peptides 190,298 \n" + "2022-03-27 07:24:09> Block 556 of 565 complete - 98.41 % - created peptides 140,108 - total peptides 93,770,840 \n" ] }, { @@ -24767,14 +24741,14 @@ "text": [ "\n", "\n", - " 98%|████████████████████████████████████████████████████████████████▉ | 0.984070796460177/1 [55:00<00:54, 3443.30s/it]\u001b[A\u001b[A" + " 98%|████████████████████████████████████████████████████████████████▉ | 0.984070796460177/1 [55:24<00:53, 3381.58s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:13> Block 557 of 565 complete - 98.58 % - created peptides 136,628 \n" + "2022-03-27 07:24:15> Block 557 of 565 complete - 98.58 % - created peptides 173,272 - total peptides 93,944,112 \n" ] }, { @@ -24783,14 +24757,14 @@ "text": [ "\n", "\n", - " 99%|████████████████████████████████████████████████████████████████ | 0.9858407079646018/1 [55:06<00:47, 3356.17s/it]\u001b[A\u001b[A" + " 99%|████████████████████████████████████████████████████████████████ | 0.9858407079646018/1 [55:31<00:49, 3478.77s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:19> Block 558 of 565 complete - 98.76 % - created peptides 185,836 \n" + "2022-03-27 07:24:21> Block 558 of 565 complete - 98.76 % - created peptides 136,628 - total peptides 94,080,740 \n" ] }, { @@ -24799,14 +24773,14 @@ "text": [ "\n", "\n", - " 99%|████████████████████████████████████████████████████████████████▏| 0.9876106194690265/1 [55:12<00:42, 3468.76s/it]\u001b[A\u001b[A" + " 99%|████████████████████████████████████████████████████████████████▏| 0.9876106194690265/1 [55:38<00:44, 3577.88s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:25> Block 559 of 565 complete - 98.94 % - created peptides 173,272 \n" + "2022-03-27 07:24:28> Block 559 of 565 complete - 98.94 % - created peptides 185,836 - total peptides 94,266,576 \n" ] }, { @@ -24815,14 +24789,14 @@ "text": [ "\n", "\n", - " 99%|████████████████████████████████████████████████████████████████▎| 0.9893805309734514/1 [55:18<00:35, 3375.95s/it]\u001b[A\u001b[A" + " 99%|████████████████████████████████████████████████████████████████▎| 0.9893805309734514/1 [55:44<00:36, 3478.98s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:31> Block 560 of 565 complete - 99.12 % - created peptides 170,758 \n" + "2022-03-27 07:24:34> Block 560 of 565 complete - 99.12 % - created peptides 170,758 - total peptides 94,437,334 \n" ] }, { @@ -24831,14 +24805,14 @@ "text": [ "\n", "\n", - " 99%|████████████████████████████████████████████████████████████████▍| 0.9911504424778761/1 [55:24<00:30, 3457.47s/it]\u001b[A\u001b[A" + " 99%|████████████████████████████████████████████████████████████████▍| 0.9911504424778761/1 [55:50<00:31, 3582.04s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:37> Block 561 of 565 complete - 99.29 % - created peptides 227,428 \n" + "2022-03-27 07:24:40> Block 561 of 565 complete - 99.29 % - created peptides 95,990 - total peptides 94,533,324 \n" ] }, { @@ -24847,14 +24821,14 @@ "text": [ "\n", "\n", - " 99%|████████████████████████████████████████████████████████████████▌| 0.9929203539823008/1 [55:31<00:25, 3558.20s/it]\u001b[A\u001b[A" + " 99%|████████████████████████████████████████████████████████████████▌| 0.9929203539823008/1 [55:56<00:24, 3493.20s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:44> Block 562 of 565 complete - 99.47 % - created peptides 95,990 \n" + "2022-03-27 07:24:46> Block 562 of 565 complete - 99.47 % - created peptides 211,550 - total peptides 94,744,874 \n" ] }, { @@ -24863,14 +24837,14 @@ "text": [ "\n", "\n", - " 99%|████████████████████████████████████████████████████████████████▋| 0.9946902654867257/1 [55:37<00:18, 3447.47s/it]\u001b[A\u001b[A" + " 99%|████████████████████████████████████████████████████████████████▋| 0.9946902654867257/1 [56:02<00:18, 3392.64s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:50> Block 563 of 565 complete - 99.65 % - created peptides 211,550 \n" + "2022-03-27 07:24:52> Block 563 of 565 complete - 99.65 % - created peptides 160,634 - total peptides 94,905,508 \n" ] }, { @@ -24879,14 +24853,14 @@ "text": [ "\n", "\n", - "100%|████████████████████████████████████████████████████████████████▊| 0.9964601769911504/1 [55:43<00:12, 3533.95s/it]\u001b[A\u001b[A" + "100%|████████████████████████████████████████████████████████████████▊| 0.9964601769911504/1 [56:08<00:12, 3464.08s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:22:56> Block 564 of 565 complete - 99.82 % - created peptides 160,634 \n" + "2022-03-27 07:24:58> Block 564 of 565 complete - 99.82 % - created peptides 227,428 - total peptides 95,132,936 \n" ] }, { @@ -24895,14 +24869,14 @@ "text": [ "\n", "\n", - "100%|████████████████████████████████████████████████████████████████▉| 0.9982300884955753/1 [55:49<00:06, 3419.97s/it]\u001b[A\u001b[A" + "100%|████████████████████████████████████████████████████████████████▉| 0.9982300884955753/1 [56:15<00:06, 3542.18s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:23:02> Block 565 of 565 complete - 100.00 % - created peptides 141,764 \n" + "2022-03-27 07:25:05> Block 565 of 565 complete - 100.00 % - created peptides 141,764 - total peptides 95,274,700 \n" ] }, { @@ -24911,17 +24885,17 @@ "text": [ "\n", "\n", - "100%|████████████████████████████████████████████████████████████████████████████████| 1.0/1 [55:55<00:00, 3475.96s/it]\u001b[A\u001b[A" + "100%|████████████████████████████████████████████████████████████████████████████████| 1.0/1 [56:21<00:00, 3613.50s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:23:10> Saving as second_search\n", - "2022-03-23 06:24:20> Complete. Created peptides 95,274,700\n", - "2022-03-23 06:24:22> Second search complete.\n", - "2022-03-23 06:24:22> ==== score ====\n" + "2022-03-27 07:25:13> Saving as second_search\n", + "2022-03-27 07:26:24> Complete. Created peptides 95,274,700\n", + "2022-03-27 07:26:26> Second search complete.\n", + "2022-03-27 07:26:26> ==== score ====\n" ] }, { @@ -24936,43 +24910,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:24:22> Processing 1 files for step score_hdf\n", - "2022-03-23 06:24:22> Calling score_hdf\n", - "2022-03-23 06:24:24> Found second search psms for scoring.\n", - "2022-03-23 06:24:38> 46,746 target (4,674 decoy) of 126565 PSMs. fdr 0.099987 for a cutoff of 26.17 (set fdr was 0.1)\n", - "2022-03-23 06:24:39> Training & cross-validation on 21213 targets and 21212 decoys\n", - "2022-03-23 06:25:19> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 200}\n", - "2022-03-23 06:25:19> The train accuracy was 0.7737418974661167\n", - "2022-03-23 06:25:19> Testing on 84850 targets and 84851 decoys\n", - "2022-03-23 06:25:21> The test accuracy was 0.7343150600173246\n", - "2022-03-23 06:25:21> Top features {'x_tandem': 0.17643068007387672, 'hits': 0.1451839054643133, 'temp_idx': 0.13016733629195587, 'hits_y': 0.11701949324841422, 'fragments_matched_n_ratio': 0.05728748726029265, 'fragments_matched_int_ratio': 0.03653748109427149, 'mass_db': 0.033596500121286746, 'mass': 0.03333185820980919, 'index': 0.03173805431346153, 'mz': 0.02484337517949558, 'fragments_matched_int_sum': 0.016635537064713844, 'hits_y-H2O': 0.014481880717760146, 'n_AA': 0.014322403159985652, 'ms1_int_sum': 0.011815364421439777, 'hits_y-NH3': 0.01133363529118086, 'charge': 0.010236125317539207, 'hits_b-H2O': 0.009655344661598418, 'ms1_int_apex': 0.009497835606759236, 'n_fragments_matched': 0.008466129074515199, 'prec_offset': 0.008424653738692117, 'fragments_int_ratio': 0.00837367338288731, 'prec_offset_ppm': 0.007820488961290027, 'n_missed': 0.007730170361620963, 'fragments_int_sum': 0.007700273479847947, 'hits_b': 0.0069871293287158, 'fwhm': 0.006248065538719661, 'delta_m_ppm_abs': 0.0061488451287467485, 'prec_offset_raw_ppm': 0.005714191645776987, 'prec_offset_raw': 0.0052015666912983375, 'scan_no': 0.0051489342156561535, 'rt_apex': 0.005127004707959484, 'delta_m_ppm': 0.0050814410379560315, 'delta_m': 0.005065413793273279, 'rt_end': 0.005034792037838757, 'rt': 0.004977018525990881, 'rt_start': 0.004960724066150207, 'hits_b-NH3': 0.0016751867849096715, 'localexp': 0.0, 'n_internal': 0.0}\n", - "2022-03-23 06:25:29> 61,352 target (613 decoy) of 164681 PSMs. fdr 0.009992 for a cutoff of 0.83 (set fdr was 0.01)\n", - "2022-03-23 06:25:29> Saving identifications to ms_data file.\n", - "2022-03-23 06:25:30> Saving identifications to ms_data file complete.\n", - "2022-03-23 06:25:35> Saving identifications to csv file complete.\n", - "2022-03-23 06:25:35> Filter df with custom score\n", - "2022-03-23 06:25:37> Global FDR on precursor\n", - "2022-03-23 06:25:37> 40,258 target (402 decoy) of 126996 PSMs. fdr 0.009986 for a cutoff of 0.86 (set fdr was 0.01)\n", - "2022-03-23 06:25:37> Global FDR cutoff at 0.8578523282216058.\n", - "2022-03-23 06:25:38> FDR on peptides complete. For 0.01 FDR found 40,258 targets and 402 decoys.\n", - "2022-03-23 06:25:38> Extracting fragment_ions\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████| 1.0/1 [58:33<00:00, 3513.96s/it]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-23 06:25:51> Extracting fragment_ions complete.\n", - "2022-03-23 06:25:51> Scoring of files [] complete.\n", - "2022-03-23 06:25:52> ==== isobaric_labeling ====\n", - "2022-03-23 06:25:52> ==== protein_grouping ====\n" + "2022-03-27 07:26:26> Processing 1 files for step score_hdf\n", + "2022-03-27 07:26:26> Calling score_hdf\n", + "2022-03-27 07:26:28> Found second search psms for scoring.\n", + "2022-03-27 07:26:43> 46,763 target (4,676 decoy) of 126529 PSMs. fdr 0.099994 for a cutoff of 26.17 (set fdr was 0.1)\n", + "2022-03-27 07:26:44> Training & cross-validation on 21209 targets and 21208 decoys\n", + "2022-03-27 07:27:28> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 50, 'clf__max_leaf_nodes': 250}\n", + "2022-03-27 07:27:29> The train accuracy was 0.7881274017492986\n", + "2022-03-27 07:27:29> Testing on 84834 targets and 84835 decoys\n", + "2022-03-27 07:27:30> The test accuracy was 0.734765926598259\n", + "2022-03-27 07:27:30> Top features {'x_tandem': 0.1644405311229813, 'hits': 0.13960443746122203, 'temp_idx': 0.12520102404503541, 'hits_y': 0.11478398393431916, 'fragments_matched_n_ratio': 0.06136257946493249, 'fragments_matched_int_ratio': 0.036958784327656265, 'mass': 0.03360660815137477, 'index': 0.030738072014476297, 'mass_db': 0.030683517168278912, 'mz': 0.027233020974403156, 'fragments_matched_int_sum': 0.017088033232146103, 'hits_y-H2O': 0.015904411317162217, 'ms1_int_sum': 0.014449241190130446, 'n_AA': 0.013994369626900281, 'hits_y-NH3': 0.01273389830569445, 'ms1_int_apex': 0.010242788632097178, 'hits_b-H2O': 0.009614209493167486, 'prec_offset_ppm': 0.009592241583119882, 'prec_offset': 0.009379078555025216, 'n_fragments_matched': 0.009310263047200722, 'n_missed': 0.00872562636464753, 'charge': 0.008313213938350831, 'fragments_int_sum': 0.008275814176682017, 'fragments_int_ratio': 0.007784994022629663, 'delta_m_ppm_abs': 0.007681350172364622, 'hits_b': 0.007276954943378403, 'fwhm': 0.007017919777270996, 'prec_offset_raw_ppm': 0.006961542216307582, 'rt': 0.006778625174812862, 'prec_offset_raw': 0.006391915117354716, 'delta_m': 0.006228854327946268, 'delta_m_ppm': 0.006121014720722409, 'scan_no': 0.006093353535222787, 'rt_end': 0.005950299702955857, 'rt_start': 0.005766934983301838, 'rt_apex': 0.005718185816179231, 'hits_b-NH3': 0.0019579257542597425, 'n_internal': 3.4381608288996e-05, 'localexp': 0.0}\n", + "2022-03-27 07:27:39> 61,284 target (612 decoy) of 164681 PSMs. fdr 0.009986 for a cutoff of 0.84 (set fdr was 0.01)\n", + "2022-03-27 07:27:39> Saving identifications to ms_data file.\n", + "2022-03-27 07:27:40> Saving identifications to ms_data file complete.\n", + "2022-03-27 07:27:45> Saving identifications to csv file complete.\n", + "2022-03-27 07:27:45> Filter df with custom score\n", + "2022-03-27 07:27:47> Global FDR on precursor\n", + "2022-03-27 07:27:47> 40,280 target (402 decoy) of 126908 PSMs. fdr 0.009980 for a cutoff of 0.87 (set fdr was 0.01)\n", + "2022-03-27 07:27:47> Global FDR cutoff at 0.8716538099747307.\n", + "2022-03-27 07:27:48> FDR on peptides complete. For 0.01 FDR found 40,280 targets and 402 decoys.\n", + "2022-03-27 07:27:48> Extracting fragment_ions\n", + "2022-03-27 07:28:00> Extracting fragment_ions complete.\n", + "2022-03-27 07:28:01> Scoring of files [] complete.\n", + "2022-03-27 07:28:01> ==== isobaric_labeling ====\n", + "2022-03-27 07:28:01> ==== protein_grouping ====\n" ] }, { @@ -24987,8 +24948,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:25:54> Fasta dict with length 564,523, Pept dict with length 35,528\n", - "2022-03-23 06:25:54> Extracting protein groups.\n" + "2022-03-27 07:28:03> Fasta dict with length 564,523, Pept dict with length 35,547\n", + "2022-03-27 07:28:03> Extracting protein groups.\n" ] }, { @@ -24997,39 +24958,26 @@ "text": [ "\n", "\n", - " 0%| | 0/1 [00:00 A total of 11,886 unique and 23,241 shared peptides.\n", - "2022-03-23 06:26:03> A total of 4475 ambigious proteins\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " 0%| | 0/1 [01:41 A total of 320 unique and 81 shared peptides.\n", - "2022-03-23 06:26:05> A total of 81 ambigious proteins\n", - "2022-03-23 06:26:05> Global FDR on protein_group\n", - "2022-03-23 06:26:05> 5,868 target (58 decoy) of 7082 PSMs. fdr 0.009884 for a cutoff of 0.95 (set fdr was 0.01)\n", - "2022-03-23 06:26:05> Global FDR cutoff at 0.9493152629685819.\n", - "2022-03-23 06:26:05> FDR on proteins complete. For 0.01 FDR found 39,402 targets and 60 decoys. A total of 5,926 proteins found.\n", - "2022-03-23 06:26:05> Saving complete.\n", - "2022-03-23 06:26:05> Protein groups complete.\n", - "2022-03-23 06:26:05> ==== quantification ====\n", - "2022-03-23 06:26:05> Reading protein_fdr for quantification.\n" + "2022-03-27 07:28:04> A total of 11,844 unique and 23,302 shared peptides.\n", + "2022-03-27 07:28:12> A total of 4472 ambigious proteins\n", + "2022-03-27 07:28:13> A total of 322 unique and 79 shared peptides.\n", + "2022-03-27 07:28:13> A total of 79 ambigious proteins\n", + "2022-03-27 07:28:14> Global FDR on protein_group\n", + "2022-03-27 07:28:14> 5,776 target (57 decoy) of 7034 PSMs. fdr 0.009868 for a cutoff of 0.96 (set fdr was 0.01)\n", + "2022-03-27 07:28:14> Global FDR cutoff at 0.9575445814211934.\n", + "2022-03-27 07:28:14> FDR on proteins complete. For 0.01 FDR found 39,370 targets and 57 decoys. A total of 5,833 proteins found.\n", + "2022-03-27 07:28:14> Saving complete.\n", + "2022-03-27 07:28:14> Protein groups complete.\n", + "2022-03-27 07:28:14> ==== quantification ====\n", + "2022-03-27 07:28:14> Reading protein_fdr for quantification.\n" ] }, { @@ -25050,29 +24998,33 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:26:06> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", - "2022-03-23 06:26:06> Complete.\n", - "2022-03-23 06:26:06> Starting profile extraction.\n" + "2022-03-27 07:28:14> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", + "2022-03-27 07:28:14> Complete.\n", + "2022-03-27 07:28:14> Starting profile extraction.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 8.19it/s]" + "\n", + "\n", + "\n", + "\n", + " 0%| | 0/1 [00:00 LFQ complete.\n", - "2022-03-23 06:26:06> Extracting protein_summary\n", - "2022-03-23 06:26:06> Saved protein_summary of length 5,926 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 06:26:06> Updating protein_fdr.\n", - "2022-03-23 06:26:06> Exporting as csv.\n", - "2022-03-23 06:26:08> Saved df of length 39,462 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 06:26:08> ==== export ====\n" + "2022-03-27 07:28:15> LFQ complete.\n", + "2022-03-27 07:28:15> Extracting protein_summary\n", + "2022-03-27 07:28:15> Saved protein_summary of length 5,833 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 07:28:15> Updating protein_fdr.\n", + "2022-03-27 07:28:15> Exporting as csv.\n", + "2022-03-27 07:28:16> Saved df of length 39,427 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 07:28:16> ==== export ====\n" ] }, { @@ -25080,15 +25032,15 @@ "output_type": "stream", "text": [ "\r", - "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:07<00:00, 7.73s/it]" + "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:07<00:00, 7.53s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:26:14> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", - "2022-03-23 06:26:14> Analysis complete.\n" + "2022-03-27 07:28:22> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 07:28:22> Analysis complete.\n" ] }, { @@ -25100,7 +25052,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -25133,90 +25085,93 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:26:34> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", - "2022-03-23 06:26:35> No settings provided. Creating from default settings.\n", - "2022-03-23 06:26:35> Couldn't find compiled exe. Using Python version for testing.\n", - "2022-03-23 06:26:35> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220323062635.txt.\n", - "2022-03-23 06:26:35> Platform information:\n", - "2022-03-23 06:26:35> system - Windows\n", - "2022-03-23 06:26:35> release - 10\n", - "2022-03-23 06:26:35> version - 10.0.19044\n", - "2022-03-23 06:26:35> machine - AMD64\n", - "2022-03-23 06:26:35> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", - "2022-03-23 06:26:35> cpu count - 24\n", - "2022-03-23 06:26:35> ram memory - 115.2/127.7 Gb (available/total)\n", - "2022-03-23 06:26:35> \n", - "2022-03-23 06:26:35> Python information:\n", - "2022-03-23 06:26:35> SQLAlchemy - 1.4.23\n", - "2022-03-23 06:26:35> alphapept - 0.4.3\n", - "2022-03-23 06:26:35> biopython - 1.78\n", - "2022-03-23 06:26:35> bumpversion - \n", - "2022-03-23 06:26:35> bumpversion> - \n", - "2022-03-23 06:26:35> click - 7.1.2\n", - "2022-03-23 06:26:35> click> - \n", - "2022-03-23 06:26:35> fastcore - 1.3.21\n", - "2022-03-23 06:26:35> h5py - 3.4.0\n", - "2022-03-23 06:26:35> jupyter - 1.0.0\n", - "2022-03-23 06:26:35> jupyter> - \n", - "2022-03-23 06:26:35> jupyter_contrib_nbextensions - \n", - "2022-03-23 06:26:35> jupyter_contrib_nbextensions> - \n", - "2022-03-23 06:26:35> matplotlib - 3.3.3\n", - "2022-03-23 06:26:35> nbdev - 1.1.23\n", - "2022-03-23 06:26:35> nbdev> - \n", - "2022-03-23 06:26:35> networkx - 2.6.3\n", - "2022-03-23 06:26:35> numba - 0.54.0\n", - "2022-03-23 06:26:35> numpy - 1.20.3\n", - "2022-03-23 06:26:35> pandas - 1.3.4\n", - "2022-03-23 06:26:35> plotly_express - 0.4.1\n", - "2022-03-23 06:26:35> psutil - 5.8.0\n", - "2022-03-23 06:26:35> pyinstaller - \n", - "2022-03-23 06:26:35> pyteomics - 4.4.2\n", - "2022-03-23 06:26:35> python - 3.8.12\n", - "2022-03-23 06:26:35> pythonnet - 2.5.2\n", - "2022-03-23 06:26:35> pywin32 - 225\n", - "2022-03-23 06:26:35> pyyaml - 5.4.1\n", - "2022-03-23 06:26:35> scikit-learn - 0.24.2\n", - "2022-03-23 06:26:35> scipy - 1.7.1\n", - "2022-03-23 06:26:35> streamlit - 1.2.0\n", - "2022-03-23 06:26:35> streamlit-aggrid - 0.2.2.post4\n", - "2022-03-23 06:26:35> streamlit> - \n", - "2022-03-23 06:26:35> tables - 3.6.1\n", - "2022-03-23 06:26:35> tqdm - 4.56.0\n", - "2022-03-23 06:26:35> twine - \n", - "2022-03-23 06:26:35> twine> - \n", - "2022-03-23 06:26:35> watchdog - 2.1.5\n", - "2022-03-23 06:26:35> wget - 3.2\n", - "2022-03-23 06:26:35> \n", - "2022-03-23 06:26:35> Check for settings not completely implemented yet.\n", - "2022-03-23 06:26:35> Checking if files exist.\n", - "2022-03-23 06:26:35> FASTA Files have a total size of 13.12 Mb\n", - "2022-03-23 06:26:35> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", - "2022-03-23 06:26:35> Shortnames not set. Setting to filename.\n", - "2022-03-23 06:26:35> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", - "2022-03-23 06:26:35> Number of variable modifications 5 is larger than 2, possibly causing a very large search space. Database will be generated on the fly for the second search.\n", - "2022-03-23 06:26:35> Workflow has 11 steps\n", - "2022-03-23 06:26:35> ==== create_database ====\n", - "2022-03-23 06:26:35> Not saving Database.\n", - "2022-03-23 06:26:35> ==== import_raw_data ====\n" + "2022-03-27 07:28:42> Creating dir F:\\projects\\alphapept\\sandbox\\temp/test_temp.\n", + "2022-03-27 07:28:44> No settings provided. Creating from default settings.\n", + "2022-03-27 07:28:44> Couldn't find compiled exe. Using Python version for testing.\n", + "2022-03-27 07:28:44> Logging to C:\\Users\\admin\\alphapept\\logs\\log_20220327072844.txt.\n", + "2022-03-27 07:28:44> Platform information:\n", + "2022-03-27 07:28:44> system - Windows\n", + "2022-03-27 07:28:44> release - 10\n", + "2022-03-27 07:28:44> version - 10.0.19044\n", + "2022-03-27 07:28:44> machine - AMD64\n", + "2022-03-27 07:28:44> processor - Intel64 Family 6 Model 85 Stepping 4, GenuineIntel\n", + "2022-03-27 07:28:44> cpu count - 24\n", + "2022-03-27 07:28:44> ram memory - 116.4/127.7 Gb (available/total)\n", + "2022-03-27 07:28:44> \n", + "2022-03-27 07:28:44> Python information:\n", + "2022-03-27 07:28:44> SQLAlchemy - 1.4.23\n", + "2022-03-27 07:28:44> alphapept - 0.4.4\n", + "2022-03-27 07:28:44> biopython - 1.78\n", + "2022-03-27 07:28:44> bumpversion - \n", + "2022-03-27 07:28:44> bumpversion> - \n", + "2022-03-27 07:28:44> click - 7.1.2\n", + "2022-03-27 07:28:44> click> - \n", + "2022-03-27 07:28:44> fastcore - 1.3.21\n", + "2022-03-27 07:28:44> h5py - 3.4.0\n", + "2022-03-27 07:28:44> jupyter - 1.0.0\n", + "2022-03-27 07:28:44> jupyter> - \n", + "2022-03-27 07:28:44> jupyter_contrib_nbextensions - \n", + "2022-03-27 07:28:44> jupyter_contrib_nbextensions> - \n", + "2022-03-27 07:28:44> matplotlib - 3.3.3\n", + "2022-03-27 07:28:44> nbdev - 1.1.23\n", + "2022-03-27 07:28:44> nbdev> - \n", + "2022-03-27 07:28:44> networkx - 2.6.3\n", + "2022-03-27 07:28:44> numba - 0.54.0\n", + "2022-03-27 07:28:44> numpy - 1.20.3\n", + "2022-03-27 07:28:44> pandas - 1.3.4\n", + "2022-03-27 07:28:44> plotly_express - 0.4.1\n", + "2022-03-27 07:28:44> psutil - 5.8.0\n", + "2022-03-27 07:28:44> pyinstaller - \n", + "2022-03-27 07:28:44> pyteomics - 4.4.2\n", + "2022-03-27 07:28:44> python - 3.8.12\n", + "2022-03-27 07:28:44> pythonnet - 2.5.2\n", + "2022-03-27 07:28:44> pywin32 - 225\n", + "2022-03-27 07:28:44> pyyaml - 5.4.1\n", + "2022-03-27 07:28:44> scikit-learn - 0.24.2\n", + "2022-03-27 07:28:44> scipy - 1.7.1\n", + "2022-03-27 07:28:44> streamlit - 1.2.0\n", + "2022-03-27 07:28:44> streamlit-aggrid - 0.2.2.post4\n", + "2022-03-27 07:28:44> streamlit> - \n", + "2022-03-27 07:28:44> tables - 3.6.1\n", + "2022-03-27 07:28:44> tqdm - 4.56.0\n", + "2022-03-27 07:28:44> twine - \n", + "2022-03-27 07:28:44> twine> - \n", + "2022-03-27 07:28:44> watchdog - 2.1.5\n", + "2022-03-27 07:28:44> wget - 3.2\n", + "2022-03-27 07:28:44> \n", + "2022-03-27 07:28:44> Check for settings not completely implemented yet.\n", + "2022-03-27 07:28:44> Checking if files exist.\n", + "2022-03-27 07:28:44> FASTA Files have a total size of 13.116 Mb\n", + "2022-03-27 07:28:44> Results path was not set. Setting to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.hdf\n", + "2022-03-27 07:28:44> Shortnames not set. Setting to filename.\n", + "2022-03-27 07:28:44> No database path set and save_db option checked. Using default path F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\database.hdf\n", + "2022-03-27 07:28:44> Number of variable modifications 5 is larger than 2, possibly causing a very large search space. Database will be generated on the fly for the second search.\n", + "2022-03-27 07:28:44> Workflow has 11 steps\n", + "2022-03-27 07:28:44> ==== create_database ====\n", + "2022-03-27 07:28:44> Not saving Database.\n", + "2022-03-27 07:28:44> ==== import_raw_data ====\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - " 0%| | 0/1 [00:00 Processing 1 files for step raw_conversion\n", - "2022-03-23 06:26:35> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa has extension .raw - converting from Thermo.\n", - "2022-03-23 06:28:31> File conversion complete. Extracted 120,226 precursors.\n", - "2022-03-23 06:28:33> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", - "2022-03-23 06:28:33> ==== feature_finding ====\n" + "2022-03-27 07:28:44> Processing 1 files for step raw_conversion\n", + "2022-03-27 07:28:44> File F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa has extension .raw - converting from Thermo.\n", + "2022-03-27 07:30:41> File conversion complete. Extracted 120,226 precursors.\n", + "2022-03-27 07:30:42> File conversion of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", + "2022-03-27 07:30:42> ==== feature_finding ====\n" ] }, { @@ -25224,59 +25179,66 @@ "output_type": "stream", "text": [ "\n", - " 0%| | 0/1 [00:00 Processing 1 files for step find_features\n", - "2022-03-23 06:28:33> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf. Adding to feature finding list.\n", - "2022-03-23 06:28:33> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw\n", - "2022-03-23 06:28:33> Hill extraction with centroid_tol 8 and max_gap 2\n", - "2022-03-23 06:28:37> Number of hills 1,105,353, len = 17.35\n", - "2022-03-23 06:28:37> Repeating hill extraction with centroid_tol 5.87\n" + "2022-03-27 07:30:42> Processing 1 files for step find_features\n", + "2022-03-27 07:30:42> No *.hdf file with features found for F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf. Adding to feature finding list.\n", + "2022-03-27 07:30:43> Feature finding on F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw\n", + "2022-03-27 07:30:43> Hill extraction with centroid_tol 8 and max_gap 2\n", + "2022-03-27 07:30:47> Number of hills 1,105,353, len = 17.35\n", + "2022-03-27 07:30:47> Repeating hill extraction with centroid_tol 5.87\n", + "2022-03-27 07:30:51> Number of hills 1,227,331, len = 19.44\n", + "2022-03-27 07:30:52> After duplicate removal of hills 1,025,845\n", + "2022-03-27 07:31:02> After split hill_ptrs 1,207,373\n", + "2022-03-27 07:31:02> After filter hill_ptrs 1,188,406\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [02:05 Number of hills 1,227,331, len = 19.44\n", - "2022-03-23 06:28:42> After duplicate removal of hills 1,025,845\n", - "2022-03-23 06:28:52> After split hill_ptrs 1,207,373\n", - "2022-03-23 06:28:53> After filter hill_ptrs 1,188,406\n", - "2022-03-23 06:31:05> Extracting hill stats complete\n" + "2022-03-27 07:33:10> Extracting hill stats complete\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [05:17 Found 184,383 pre isotope patterns.\n", - "2022-03-23 06:31:53> Extracted 198,779 isotope patterns.\n", - "2022-03-23 06:31:56> Report complete.\n", - "2022-03-23 06:31:56> Matching features to query data.\n", - "2022-03-23 06:31:58> Saving feature table.\n", - "2022-03-23 06:31:58> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", - "2022-03-23 06:31:58> Saving features.\n", - "2022-03-23 06:31:58> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", - "2022-03-23 06:31:58> ==== search_data ====\n" + "2022-03-27 07:33:20> Found 184,383 pre isotope patterns.\n", + "2022-03-27 07:33:58> Extracted 198,779 isotope patterns.\n", + "2022-03-27 07:34:01> Report complete.\n", + "2022-03-27 07:34:01> Matching features to query data.\n", + "2022-03-27 07:34:03> Saving feature table.\n", + "2022-03-27 07:34:03> Feature table saved to F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf\n", + "2022-03-27 07:34:03> Saving features.\n", + "2022-03-27 07:34:03> Feature finding of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw complete.\n", + "2022-03-27 07:34:03> ==== search_data ====\n" ] }, { @@ -25291,11 +25253,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:31:58> Starting first search.\n", - "2022-03-23 06:31:59> Number of FASTA entries: 20,611 - FASTA settings {'mods_fixed': ['cC'], 'mods_fixed_terminal': [], 'mods_variable': ['oxM', 'pS', 'pT', 'pY'], 'mods_variable_terminal': [], 'mods_fixed_terminal_prot': [], 'mods_variable_terminal_prot': ['a<^'], 'n_missed_cleavages': 2, 'pep_length_min': 7, 'pep_length_max': 27, 'isoforms_max': 1024, 'n_modifications_max': 3, 'pseudo_reverse': True, 'AL_swap': False, 'KR_swap': False, 'protease': 'trypsin', 'spectra_block': 100000, 'fasta_block': 1000, 'save_db': False, 'fasta_size_max': 100}\n", - "2022-03-23 06:31:59> Setting Process limit to 29\n", - "2022-03-23 06:31:59> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 06:35:50> Block 1 of 21 complete - 4.76 % - created peptides 1,430,810 \n" + "2022-03-27 07:34:03> Starting first search.\n", + "2022-03-27 07:34:04> Number of FASTA entries: 20,611 - FASTA settings {'mods_fixed': ['cC'], 'mods_fixed_terminal': [], 'mods_variable': ['oxM', 'pS', 'pT', 'pY'], 'mods_variable_terminal': [], 'mods_fixed_terminal_prot': [], 'mods_variable_terminal_prot': ['a<^'], 'n_missed_cleavages': 2, 'pep_length_min': 7, 'pep_length_max': 27, 'isoforms_max': 1024, 'n_modifications_max': 3, 'pseudo_reverse': True, 'AL_swap': False, 'KR_swap': False, 'protease': 'trypsin', 'spectra_block': 100000, 'fasta_block': 1000, 'save_db': False, 'fasta_size_max': 100}\n", + "2022-03-27 07:34:04> Setting Process limit to 23\n", + "2022-03-27 07:34:04> AlphaPool was set to 23 processes. Setting max to 23.\n" ] }, { @@ -25303,29 +25264,44 @@ "output_type": "stream", "text": [ "\r", - " 5%|██▉ | 0.047619047619047616/1 [03:51<1:17:07, 4858.98s/it]" + " 0%| | 0/1 [07:14 Block 2 of 21 complete - 9.52 % - created peptides 2,029,798 \n" + "2022-03-27 07:37:57> Block 1 of 21 complete - 4.76 % - created peptides 1,430,810 - total peptides 1,430,810 \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 0%| | 0/1 [08:50 Block 2 of 21 complete - 9.52 % - created peptides 2,029,798 - total peptides 3,460,608 \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r", + " 10%|██████ | 0.09523809523809523/1 [05:27<47:59, 3183.04s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:37:26> Block 3 of 21 complete - 14.29 % - created peptides 2,063,688 \n" + "2022-03-27 07:39:35> Block 3 of 21 complete - 14.29 % - created peptides 2,063,688 - total peptides 5,524,296 \n" ] }, { @@ -25333,14 +25309,14 @@ "output_type": "stream", "text": [ "\r", - " 14%|█████████▏ | 0.14285714285714285/1 [05:31<25:22, 1775.90s/it]" + " 14%|█████████▏ | 0.14285714285714285/1 [05:37<26:05, 1826.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:37:34> Block 4 of 21 complete - 19.05 % - created peptides 2,108,144 \n" + "2022-03-27 07:39:41> Block 4 of 21 complete - 19.05 % - created peptides 2,108,144 - total peptides 7,632,440 \n" ] }, { @@ -25348,14 +25324,14 @@ "output_type": "stream", "text": [ "\r", - " 19%|████████████▏ | 0.19047619047619047/1 [05:42<15:40, 1161.94s/it]" + " 19%|████████████▏ | 0.19047619047619047/1 [05:42<15:29, 1147.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:37:41> Block 5 of 21 complete - 23.81 % - created peptides 2,186,052 \n" + "2022-03-27 07:39:46> Block 5 of 21 complete - 23.81 % - created peptides 2,117,874 - total peptides 9,750,314 \n" ] }, { @@ -25363,14 +25339,14 @@ "output_type": "stream", "text": [ "\r", - " 24%|███████████████▍ | 0.23809523809523808/1 [05:47<09:56, 782.88s/it]" + " 24%|███████████████▍ | 0.23809523809523808/1 [05:47<09:48, 772.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:37:46> Block 6 of 21 complete - 28.57 % - created peptides 2,117,874 \n" + "2022-03-27 07:39:51> Block 6 of 21 complete - 28.57 % - created peptides 2,186,052 - total peptides 11,936,366 \n" ] }, { @@ -25378,14 +25354,14 @@ "output_type": "stream", "text": [ "\r", - " 29%|██████████████████▊ | 0.2857142857142857/1 [05:53<06:39, 558.68s/it]" + " 29%|██████████████████▊ | 0.2857142857142857/1 [05:54<06:35, 553.69s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:37:52> Block 7 of 21 complete - 33.33 % - created peptides 2,270,192 \n" + "2022-03-27 07:39:57> Block 7 of 21 complete - 33.33 % - created peptides 2,270,192 - total peptides 14,206,558 \n" ] }, { @@ -25393,14 +25369,14 @@ "output_type": "stream", "text": [ "\r", - " 33%|██████████████████████ | 0.3333333333333333/1 [06:03<04:58, 448.19s/it]" + " 33%|██████████████████████ | 0.3333333333333333/1 [06:02<04:48, 432.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:02> Block 8 of 21 complete - 38.10 % - created peptides 2,321,598 \n" + "2022-03-27 07:40:06> Block 8 of 21 complete - 38.10 % - created peptides 2,352,456 - total peptides 16,559,014 \n" ] }, { @@ -25408,14 +25384,14 @@ "output_type": "stream", "text": [ "\r", - " 38%|████████████████████████▊ | 0.38095238095238093/1 [06:12<03:43, 360.92s/it]" + " 38%|████████████████████████▊ | 0.38095238095238093/1 [06:13<03:47, 367.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:11> Block 9 of 21 complete - 42.86 % - created peptides 2,364,188 \n" + "2022-03-27 07:40:17> Block 9 of 21 complete - 42.86 % - created peptides 2,364,188 - total peptides 18,923,202 \n" ] }, { @@ -25423,14 +25399,14 @@ "output_type": "stream", "text": [ "\r", - " 43%|███████████████████████████▊ | 0.42857142857142855/1 [06:17<02:40, 280.83s/it]" + " 43%|███████████████████████████▊ | 0.42857142857142855/1 [06:18<02:43, 286.77s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:16> Block 10 of 21 complete - 47.62 % - created peptides 2,354,928 \n" + "2022-03-27 07:40:22> Block 10 of 21 complete - 47.62 % - created peptides 2,317,248 - total peptides 21,240,450 \n" ] }, { @@ -25438,14 +25414,14 @@ "output_type": "stream", "text": [ "\r", - " 48%|██████████████████████████████▉ | 0.47619047619047616/1 [06:21<01:57, 223.88s/it]" + " 48%|██████████████████████████████▉ | 0.47619047619047616/1 [06:24<02:02, 233.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:20> Block 11 of 21 complete - 52.38 % - created peptides 2,317,248 \n" + "2022-03-27 07:40:28> Block 11 of 21 complete - 52.38 % - created peptides 2,321,598 - total peptides 23,562,048 \n" ] }, { @@ -25453,14 +25429,14 @@ "output_type": "stream", "text": [ "\r", - " 52%|██████████████████████████████████▌ | 0.5238095238095238/1 [06:25<01:25, 178.93s/it]" + " 52%|██████████████████████████████████▌ | 0.5238095238095238/1 [06:28<01:28, 185.98s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:24> Block 12 of 21 complete - 57.14 % - created peptides 2,352,456 \n" + "2022-03-27 07:40:31> Block 12 of 21 complete - 57.14 % - created peptides 2,346,492 - total peptides 25,908,540 \n" ] }, { @@ -25468,14 +25444,14 @@ "output_type": "stream", "text": [ "\r", - " 57%|█████████████████████████████████████▋ | 0.5714285714285714/1 [06:30<01:06, 154.92s/it]" + " 57%|█████████████████████████████████████▋ | 0.5714285714285714/1 [06:32<01:08, 159.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:29> Block 13 of 21 complete - 61.90 % - created peptides 2,346,492 \n" + "2022-03-27 07:40:36> Block 13 of 21 complete - 61.90 % - created peptides 2,354,928 - total peptides 28,263,468 \n" ] }, { @@ -25483,14 +25459,14 @@ "output_type": "stream", "text": [ "\r", - " 62%|████████████████████████████████████████▊ | 0.6190476190476191/1 [06:35<00:53, 139.13s/it]" + " 62%|████████████████████████████████████████▊ | 0.6190476190476191/1 [06:36<00:51, 135.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:33> Block 14 of 21 complete - 66.67 % - created peptides 2,390,120 \n" + "2022-03-27 07:40:40> Block 14 of 21 complete - 66.67 % - created peptides 2,366,294 - total peptides 30,629,762 \n" ] }, { @@ -25498,14 +25474,14 @@ "output_type": "stream", "text": [ "\r", - " 67%|████████████████████████████████████████████ | 0.6666666666666666/1 [06:39<00:40, 122.46s/it]" + " 67%|████████████████████████████████████████████ | 0.6666666666666666/1 [06:41<00:41, 125.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:37> Block 15 of 21 complete - 71.43 % - created peptides 2,400,722 \n" + "2022-03-27 07:40:45> Block 15 of 21 complete - 71.43 % - created peptides 2,390,120 - total peptides 33,019,882 \n" ] }, { @@ -25513,14 +25489,14 @@ "output_type": "stream", "text": [ "\r", - " 71%|███████████████████████████████████████████████▏ | 0.7142857142857143/1 [06:43<00:33, 116.54s/it]" + " 71%|███████████████████████████████████████████████▏ | 0.7142857142857143/1 [06:46<00:34, 119.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:42> Block 16 of 21 complete - 76.19 % - created peptides 2,366,294 \n" + "2022-03-27 07:40:50> Block 16 of 21 complete - 76.19 % - created peptides 2,400,722 - total peptides 35,420,604 \n" ] }, { @@ -25528,14 +25504,14 @@ "output_type": "stream", "text": [ "\r", - " 76%|██████████████████████████████████████████████████▎ | 0.7619047619047619/1 [06:48<00:26, 112.60s/it]" + " 76%|██████████████████████████████████████████████████▎ | 0.7619047619047619/1 [06:51<00:27, 114.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:47> Block 17 of 21 complete - 80.95 % - created peptides 2,440,588 \n" + "2022-03-27 07:40:55> Block 17 of 21 complete - 80.95 % - created peptides 2,431,708 - total peptides 37,852,312 \n" ] }, { @@ -25543,14 +25519,14 @@ "output_type": "stream", "text": [ "\r", - " 81%|█████████████████████████████████████████████████████▍ | 0.8095238095238095/1 [06:53<00:20, 110.17s/it]" + " 81%|█████████████████████████████████████████████████████▍ | 0.8095238095238095/1 [06:56<00:21, 111.98s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:52> Block 18 of 21 complete - 85.71 % - created peptides 2,431,708 \n" + "2022-03-27 07:41:00> Block 18 of 21 complete - 85.71 % - created peptides 2,440,588 - total peptides 40,292,900 \n" ] }, { @@ -25558,14 +25534,14 @@ "output_type": "stream", "text": [ "\r", - " 86%|████████████████████████████████████████████████████████▌ | 0.8571428571428571/1 [06:58<00:15, 108.80s/it]" + " 86%|████████████████████████████████████████████████████████▌ | 0.8571428571428571/1 [07:01<00:15, 109.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:38:57> Block 19 of 21 complete - 90.48 % - created peptides 2,447,522 \n" + "2022-03-27 07:41:05> Block 19 of 21 complete - 90.48 % - created peptides 2,447,522 - total peptides 42,740,422 \n" ] }, { @@ -25573,14 +25549,14 @@ "output_type": "stream", "text": [ "\r", - " 90%|███████████████████████████████████████████████████████████▋ | 0.9047619047619048/1 [07:04<00:10, 113.76s/it]" + " 90%|███████████████████████████████████████████████████████████▋ | 0.9047619047619048/1 [07:07<00:10, 114.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:39:03> Block 20 of 21 complete - 95.24 % - created peptides 2,499,774 \n" + "2022-03-27 07:41:11> Block 20 of 21 complete - 95.24 % - created peptides 2,499,774 - total peptides 45,240,196 \n" ] }, { @@ -25588,14 +25564,14 @@ "output_type": "stream", "text": [ "\r", - " 95%|██████████████████████████████████████████████████████████████▊ | 0.9523809523809523/1 [07:10<00:05, 112.51s/it]" + " 95%|██████████████████████████████████████████████████████████████▊ | 0.9523809523809523/1 [07:12<00:05, 114.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:39:08> Block 21 of 21 complete - 100.00 % - created peptides 2,514,900 \n" + "2022-03-27 07:41:16> Block 21 of 21 complete - 100.00 % - created peptides 2,514,900 - total peptides 47,755,096 \n" ] }, { @@ -25603,17 +25579,17 @@ "output_type": "stream", "text": [ "\r", - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [07:16<00:00, 117.46s/it]" + "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [07:18<00:00, 118.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:39:16> Saving as first_search\n", - "2022-03-23 06:40:15> Complete. Created peptides 47,755,096\n", - "2022-03-23 06:40:17> First search complete.\n", - "2022-03-23 06:40:17> ==== recalibrate_data ====\n" + "2022-03-27 07:41:23> Saving as first_search\n", + "2022-03-27 07:42:24> Complete. Created peptides 47,755,096\n", + "2022-03-27 07:42:25> First search complete.\n", + "2022-03-27 07:42:25> ==== recalibrate_data ====\n" ] }, { @@ -25628,23 +25604,23 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:40:17> Processing 1 files for step calibrate_hdf\n", - "2022-03-23 06:40:17> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", - "2022-03-23 06:40:18> Scoring using X-Tandem\n", - "2022-03-23 06:40:20> 38,409 target (384 decoy) of 121812 PSMs. fdr 0.009998 for a cutoff of 27.43 (set fdr was 0.01)\n", - "2022-03-23 06:40:20> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", - "2022-03-23 06:40:23> Precursor calibration std 1.00, 0.23\n", - "2022-03-23 06:40:23> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", - "2022-03-23 06:40:23> Starting fragment calibration.\n", - "2022-03-23 06:40:23> Calibrating fragments with neighbors\n", - "2022-03-23 06:40:25> Scoring using X-Tandem\n", - "2022-03-23 06:40:27> 38,409 target (384 decoy) of 121812 PSMs. fdr 0.009998 for a cutoff of 27.43 (set fdr was 0.01)\n", - "2022-03-23 06:40:27> Minimum hits for fragments before score 7.00.\n", - "2022-03-23 06:40:27> Minimum hits for fragments after score 8.23.\n", - "2022-03-23 06:40:50> Median offset (std) -0.22 (9.59) - after calibration 0.00 (9.02) Mad offset 4.34\n", - "2022-03-23 06:40:50> Saving calibration\n", - "2022-03-23 06:41:34> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", - "2022-03-23 06:41:34> ==== search_data ====\n" + "2022-03-27 07:42:25> Processing 1 files for step calibrate_hdf\n", + "2022-03-27 07:42:25> Recalibrating file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", + "2022-03-27 07:42:27> Scoring using X-Tandem\n", + "2022-03-27 07:42:29> 38,416 target (384 decoy) of 121801 PSMs. fdr 0.009996 for a cutoff of 27.43 (set fdr was 0.01)\n", + "2022-03-27 07:42:29> Precursor mass calibration for file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.raw.\n", + "2022-03-27 07:42:31> Precursor calibration std 1.00, 0.23\n", + "2022-03-27 07:42:31> Precursor calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", + "2022-03-27 07:42:31> Starting fragment calibration.\n", + "2022-03-27 07:42:31> Calibrating fragments with neighbors\n", + "2022-03-27 07:42:33> Scoring using X-Tandem\n", + "2022-03-27 07:42:35> 38,416 target (384 decoy) of 121801 PSMs. fdr 0.009996 for a cutoff of 27.43 (set fdr was 0.01)\n", + "2022-03-27 07:42:36> Minimum hits for fragments before score 7.00.\n", + "2022-03-27 07:42:36> Minimum hits for fragments after score 8.23.\n", + "2022-03-27 07:42:59> Median offset (std) -0.22 (9.59) - after calibration -0.00 (9.02) Mad offset 4.34\n", + "2022-03-27 07:42:59> Saving calibration\n", + "2022-03-27 07:43:43> Fragment calibration of file F:\\projects\\alphapept\\sandbox\\temp/test_temp\\thermo_HeLa.ms_data.hdf complete.\n", + "2022-03-27 07:43:43> ==== search_data ====\n" ] }, { @@ -25660,12 +25636,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:41:34> Starting second search with DB.\n", - "2022-03-23 06:41:34> Starting second search.\n", - "2022-03-23 06:41:35> Number of FASTA entries: 20,611 - FASTA settings {'mods_fixed': ['cC'], 'mods_fixed_terminal': [], 'mods_variable': ['oxM', 'pS', 'pT', 'pY'], 'mods_variable_terminal': [], 'mods_fixed_terminal_prot': [], 'mods_variable_terminal_prot': ['a<^'], 'n_missed_cleavages': 2, 'pep_length_min': 7, 'pep_length_max': 27, 'isoforms_max': 1024, 'n_modifications_max': 3, 'pseudo_reverse': True, 'AL_swap': False, 'KR_swap': False, 'protease': 'trypsin', 'spectra_block': 100000, 'fasta_block': 1000, 'save_db': False, 'fasta_size_max': 100}\n", - "2022-03-23 06:41:35> Setting Process limit to 29\n", - "2022-03-23 06:41:35> AlphaPool was set to 24 processes. Setting max to 24.\n", - "2022-03-23 06:45:09> Block 1 of 21 complete - 4.76 % - created peptides 1,430,810 \n" + "2022-03-27 07:43:43> Starting second search with DB.\n", + "2022-03-27 07:43:43> Starting second search.\n", + "2022-03-27 07:43:44> Number of FASTA entries: 20,611 - FASTA settings {'mods_fixed': ['cC'], 'mods_fixed_terminal': [], 'mods_variable': ['oxM', 'pS', 'pT', 'pY'], 'mods_variable_terminal': [], 'mods_fixed_terminal_prot': [], 'mods_variable_terminal_prot': ['a<^'], 'n_missed_cleavages': 2, 'pep_length_min': 7, 'pep_length_max': 27, 'isoforms_max': 1024, 'n_modifications_max': 3, 'pseudo_reverse': True, 'AL_swap': False, 'KR_swap': False, 'protease': 'trypsin', 'spectra_block': 100000, 'fasta_block': 1000, 'save_db': False, 'fasta_size_max': 100}\n", + "2022-03-27 07:43:44> Setting Process limit to 23\n", + "2022-03-27 07:43:44> AlphaPool was set to 23 processes. Setting max to 23.\n", + "2022-03-27 07:47:17> Block 1 of 21 complete - 4.76 % - created peptides 1,430,810 - total peptides 1,430,810 \n" ] }, { @@ -25674,14 +25650,14 @@ "text": [ "\n", "\n", - " 5%|██▉ | 0.047619047619047616/1 [03:34<1:11:25, 4499.65s/it]\u001b[A\u001b[A" + " 5%|██▉ | 0.047619047619047616/1 [03:33<1:11:15, 4489.41s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:46:27> Block 2 of 21 complete - 9.52 % - created peptides 2,029,798 \n" + "2022-03-27 07:48:35> Block 2 of 21 complete - 9.52 % - created peptides 2,029,798 - total peptides 3,460,608 \n" ] }, { @@ -25690,32 +25666,32 @@ "text": [ "\n", "\n", - " 10%|██████ | 0.09523809523809523/1 [04:53<42:41, 2830.71s/it]\u001b[A\u001b[A" + " 10%|██████ | 0.09523809523809523/1 [04:53<42:40, 2829.93s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:46:28> Block 3 of 21 complete - 14.29 % - created peptides 2,063,688 \n" + "2022-03-27 07:48:39> Block 3 of 21 complete - 14.29 % - created peptides 2,063,688 - total peptides 5,524,296 \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████| 1.0/1 [14:31<00:00, 871.03s/it]\n", - " 0%| | 0/1 [06:12 Block 4 of 21 complete - 19.05 % - created peptides 2,108,144 \n" + "2022-03-27 07:48:42> Block 4 of 21 complete - 19.05 % - created peptides 2,108,144 - total peptides 7,632,440 \n" ] }, { @@ -25724,14 +25700,14 @@ "text": [ "\n", "\n", - " 19%|████████████▏ | 0.19047619047619047/1 [05:03<13:35, 1007.52s/it]\u001b[A\u001b[A" + " 19%|████████████▍ | 0.19047619047619047/1 [05:01<13:19, 987.29s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:46:38> Block 5 of 21 complete - 23.81 % - created peptides 2,117,874 \n" + "2022-03-27 07:48:45> Block 5 of 21 complete - 23.81 % - created peptides 2,117,874 - total peptides 9,750,314 \n" ] }, { @@ -25740,14 +25716,14 @@ "text": [ "\n", "\n", - " 24%|███████████████▍ | 0.23809523809523808/1 [05:07<08:30, 670.58s/it]\u001b[A\u001b[A" + " 24%|███████████████▍ | 0.23809523809523808/1 [05:05<08:22, 659.96s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:46:41> Block 6 of 21 complete - 28.57 % - created peptides 2,186,052 \n" + "2022-03-27 07:48:51> Block 6 of 21 complete - 28.57 % - created peptides 2,186,052 - total peptides 11,936,366 \n" ] }, { @@ -25756,14 +25732,14 @@ "text": [ "\n", "\n", - " 29%|██████████████████▊ | 0.2857142857142857/1 [05:10<05:35, 469.88s/it]\u001b[A\u001b[A" + " 29%|██████████████████▊ | 0.2857142857142857/1 [05:11<05:40, 476.78s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:46:48> Block 7 of 21 complete - 33.33 % - created peptides 2,270,192 \n" + "2022-03-27 07:48:57> Block 7 of 21 complete - 33.33 % - created peptides 2,270,192 - total peptides 14,206,558 \n" ] }, { @@ -25772,14 +25748,14 @@ "text": [ "\n", "\n", - " 33%|██████████████████████ | 0.3333333333333333/1 [05:18<04:04, 366.31s/it]\u001b[A\u001b[A" + " 33%|██████████████████████ | 0.3333333333333333/1 [05:19<04:11, 377.01s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:46:53> Block 8 of 21 complete - 38.10 % - created peptides 2,321,598 \n" + "2022-03-27 07:49:03> Block 8 of 21 complete - 38.10 % - created peptides 2,321,598 - total peptides 16,528,156 \n" ] }, { @@ -25788,14 +25764,14 @@ "text": [ "\n", "\n", - " 38%|████████████████████████▊ | 0.38095238095238093/1 [05:24<02:59, 289.78s/it]\u001b[A\u001b[A" + " 38%|████████████████████████▊ | 0.38095238095238093/1 [05:26<03:09, 305.79s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:46:59> Block 9 of 21 complete - 42.86 % - created peptides 2,364,188 \n" + "2022-03-27 07:49:10> Block 9 of 21 complete - 42.86 % - created peptides 2,354,928 - total peptides 18,883,084 \n" ] }, { @@ -25804,14 +25780,14 @@ "text": [ "\n", "\n", - " 43%|███████████████████████████▊ | 0.42857142857142855/1 [05:30<02:17, 240.42s/it]\u001b[A\u001b[A" + " 43%|███████████████████████████▊ | 0.42857142857142855/1 [05:30<02:16, 238.74s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:05> Block 10 of 21 complete - 47.62 % - created peptides 2,317,248 \n" + "2022-03-27 07:49:14> Block 10 of 21 complete - 47.62 % - created peptides 2,352,456 - total peptides 21,235,540 \n" ] }, { @@ -25820,14 +25796,14 @@ "text": [ "\n", "\n", - " 48%|██████████████████████████████▉ | 0.47619047619047616/1 [05:35<01:44, 199.35s/it]\u001b[A\u001b[A" + " 48%|██████████████████████████████▉ | 0.47619047619047616/1 [05:35<01:41, 193.61s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:10> Block 11 of 21 complete - 52.38 % - created peptides 2,352,456 \n" + "2022-03-27 07:49:18> Block 11 of 21 complete - 52.38 % - created peptides 2,346,492 - total peptides 23,582,032 \n" ] }, { @@ -25836,14 +25812,14 @@ "text": [ "\n", "\n", - " 52%|██████████████████████████████████▌ | 0.5238095238095238/1 [05:39<01:17, 163.52s/it]\u001b[A\u001b[A" + " 52%|██████████████████████████████████▌ | 0.5238095238095238/1 [05:39<01:16, 160.75s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:14> Block 12 of 21 complete - 57.14 % - created peptides 2,366,294 \n" + "2022-03-27 07:49:22> Block 12 of 21 complete - 57.14 % - created peptides 2,317,248 - total peptides 25,899,280 \n" ] }, { @@ -25852,14 +25828,14 @@ "text": [ "\n", "\n", - " 57%|█████████████████████████████████████▋ | 0.5714285714285714/1 [05:42<00:56, 131.57s/it]\u001b[A\u001b[A" + " 57%|█████████████████████████████████████▋ | 0.5714285714285714/1 [05:42<00:57, 134.12s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:17> Block 13 of 21 complete - 61.90 % - created peptides 2,346,492 \n" + "2022-03-27 07:49:26> Block 13 of 21 complete - 61.90 % - created peptides 2,364,188 - total peptides 28,263,468 \n" ] }, { @@ -25868,14 +25844,14 @@ "text": [ "\n", "\n", - " 62%|████████████████████████████████████████▊ | 0.6190476190476191/1 [05:45<00:43, 114.59s/it]\u001b[A\u001b[A" + " 62%|████████████████████████████████████████▊ | 0.6190476190476191/1 [05:46<00:44, 116.55s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:20> Block 14 of 21 complete - 66.67 % - created peptides 2,390,120 \n" + "2022-03-27 07:49:30> Block 14 of 21 complete - 66.67 % - created peptides 2,366,294 - total peptides 30,629,762 \n" ] }, { @@ -25884,14 +25860,14 @@ "text": [ "\n", "\n", - " 67%|████████████████████████████████████████████ | 0.6666666666666666/1 [05:49<00:34, 104.24s/it]\u001b[A\u001b[A" + " 67%|████████████████████████████████████████████ | 0.6666666666666666/1 [05:50<00:35, 105.43s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:24> Block 15 of 21 complete - 71.43 % - created peptides 2,354,928 \n" + "2022-03-27 07:49:33> Block 15 of 21 complete - 71.43 % - created peptides 2,390,120 - total peptides 33,019,882 \n" ] }, { @@ -25900,14 +25876,14 @@ "text": [ "\n", "\n", - " 71%|███████████████████████████████████████████████▊ | 0.7142857142857143/1 [05:53<00:27, 96.87s/it]\u001b[A\u001b[A" + " 71%|███████████████████████████████████████████████▊ | 0.7142857142857143/1 [05:54<00:28, 98.16s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:28> Block 16 of 21 complete - 76.19 % - created peptides 2,400,722 \n" + "2022-03-27 07:49:37> Block 16 of 21 complete - 76.19 % - created peptides 2,400,722 - total peptides 35,420,604 \n" ] }, { @@ -25916,14 +25892,14 @@ "text": [ "\n", "\n", - " 76%|███████████████████████████████████████████████████ | 0.7619047619047619/1 [05:57<00:22, 92.40s/it]\u001b[A\u001b[A" + " 76%|███████████████████████████████████████████████████ | 0.7619047619047619/1 [05:58<00:22, 93.44s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:32> Block 17 of 21 complete - 80.95 % - created peptides 2,431,708 \n" + "2022-03-27 07:49:41> Block 17 of 21 complete - 80.95 % - created peptides 2,431,708 - total peptides 37,852,312 \n" ] }, { @@ -25932,14 +25908,14 @@ "text": [ "\n", "\n", - " 81%|██████████████████████████████████████████████████████▏ | 0.8095238095238095/1 [06:01<00:17, 90.18s/it]\u001b[A\u001b[A" + " 81%|██████████████████████████████████████████████████████▏ | 0.8095238095238095/1 [06:02<00:17, 92.11s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:36> Block 18 of 21 complete - 85.71 % - created peptides 2,440,588 \n" + "2022-03-27 07:49:45> Block 18 of 21 complete - 85.71 % - created peptides 2,447,522 - total peptides 40,299,834 \n" ] }, { @@ -25948,14 +25924,14 @@ "text": [ "\n", "\n", - " 86%|█████████████████████████████████████████████████████████▍ | 0.8571428571428571/1 [06:05<00:12, 88.76s/it]\u001b[A\u001b[A" + " 86%|█████████████████████████████████████████████████████████▍ | 0.8571428571428571/1 [06:06<00:12, 90.06s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:40> Block 19 of 21 complete - 90.48 % - created peptides 2,447,522 \n" + "2022-03-27 07:49:49> Block 19 of 21 complete - 90.48 % - created peptides 2,499,774 - total peptides 42,799,608 \n" ] }, { @@ -25964,14 +25940,14 @@ "text": [ "\n", "\n", - " 90%|████████████████████████████████████████████████████████████▌ | 0.9047619047619048/1 [06:09<00:08, 88.05s/it]\u001b[A\u001b[A" + " 90%|████████████████████████████████████████████████████████████▌ | 0.9047619047619048/1 [06:10<00:08, 89.23s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:44> Block 20 of 21 complete - 95.24 % - created peptides 2,499,774 \n" + "2022-03-27 07:49:54> Block 20 of 21 complete - 95.24 % - created peptides 2,440,588 - total peptides 45,240,196 \n" ] }, { @@ -25980,14 +25956,14 @@ "text": [ "\n", "\n", - " 95%|███████████████████████████████████████████████████████████████▊ | 0.9523809523809523/1 [06:13<00:04, 87.49s/it]\u001b[A\u001b[A" + " 95%|███████████████████████████████████████████████████████████████▊ | 0.9523809523809523/1 [06:14<00:04, 88.55s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:48> Block 21 of 21 complete - 100.00 % - created peptides 2,514,900 \n" + "2022-03-27 07:49:58> Block 21 of 21 complete - 100.00 % - created peptides 2,514,900 - total peptides 47,755,096 \n" ] }, { @@ -25996,17 +25972,17 @@ "text": [ "\n", "\n", - "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [06:18<00:00, 91.65s/it]\u001b[A\u001b[A" + "100%|██████████████████████████████████████████████████████████████████████████████████| 1.0/1 [06:19<00:00, 92.37s/it]\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:47:54> Saving as second_search\n", - "2022-03-23 06:48:47> Complete. Created peptides 47,755,096\n", - "2022-03-23 06:48:48> Second search complete.\n", - "2022-03-23 06:48:48> ==== score ====\n" + "2022-03-27 07:50:03> Saving as second_search\n", + "2022-03-27 07:50:57> Complete. Created peptides 47,755,096\n", + "2022-03-27 07:50:58> Second search complete.\n", + "2022-03-27 07:50:58> ==== score ====\n" ] }, { @@ -26021,30 +25997,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:48:48> Processing 1 files for step score_hdf\n", - "2022-03-23 06:48:48> Calling score_hdf\n", - "2022-03-23 06:48:49> Found second search psms for scoring.\n", - "2022-03-23 06:49:00> 56,733 target (5,673 decoy) of 114850 PSMs. fdr 0.099995 for a cutoff of 23.46 (set fdr was 0.1)\n", - "2022-03-23 06:49:01> Training & cross-validation on 25543 targets and 25543 decoys\n", - "2022-03-23 06:49:51> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 50, 'clf__max_leaf_nodes': 250}\n", - "2022-03-23 06:49:51> The train accuracy was 0.763359824609482\n", - "2022-03-23 06:49:51> Testing on 102174 targets and 102174 decoys\n", - "2022-03-23 06:49:53> The test accuracy was 0.7182453461741735\n", - "2022-03-23 06:49:53> Top features {'x_tandem': 0.14157365365011446, 'hits_y': 0.1368025753316005, 'hits': 0.13336619214818507, 'fragments_matched_n_ratio': 0.09954886642837453, 'temp_idx': 0.09403710119194512, 'fragments_matched_int_ratio': 0.056894686931554084, 'mass': 0.030915400630057155, 'mass_db': 0.02885280048867356, 'index': 0.020869133280855174, 'mz': 0.016821664776732716, 'n_missed': 0.01675930882486598, 'fragments_matched_int_sum': 0.016563592607104376, 'n_AA': 0.01620306990870304, 'hits_y-H2O': 0.012245686298608942, 'ms1_int_sum': 0.011191161635156719, 'prec_offset': 0.01074983396817303, 'prec_offset_ppm': 0.010300538615044092, 'hits_y-NH3': 0.010222977044333512, 'delta_m_ppm_abs': 0.009803025350628334, 'scan_no': 0.009469063846864901, 'ms1_int_apex': 0.008902892825866525, 'n_fragments_matched': 0.008413624708614951, 'fwhm': 0.00809241855824559, 'charge': 0.007964455340069466, 'fragments_int_ratio': 0.007662138107449956, 'rt': 0.00759863504643927, 'hits_b': 0.007392580991246928, 'hits_b-H2O': 0.007295790329087726, 'rt_start': 0.007150270591382701, 'fragments_int_sum': 0.0070943516495292755, 'rt_end': 0.006662418107497724, 'prec_offset_raw': 0.006581450033756163, 'prec_offset_raw_ppm': 0.006316366753372428, 'delta_m': 0.006139053602737548, 'delta_m_ppm': 0.006116638095772875, 'rt_apex': 0.005706111679438063, 'hits_b-NH3': 0.0016905553922948013, 'n_internal': 2.991522962281282e-05, 'localexp': 0.0}\n", - "2022-03-23 06:50:00> 79,662 target (796 decoy) of 159900 PSMs. fdr 0.009992 for a cutoff of 0.74 (set fdr was 0.01)\n", - "2022-03-23 06:50:00> Saving identifications to ms_data file.\n", - "2022-03-23 06:50:01> Saving identifications to ms_data file complete.\n", - "2022-03-23 06:50:06> Saving identifications to csv file complete.\n", - "2022-03-23 06:50:06> Filter df with custom score\n", - "2022-03-23 06:50:08> Global FDR on precursor\n", - "2022-03-23 06:50:08> 50,079 target (500 decoy) of 115253 PSMs. fdr 0.009984 for a cutoff of 0.79 (set fdr was 0.01)\n", - "2022-03-23 06:50:08> Global FDR cutoff at 0.7875847913285251.\n", - "2022-03-23 06:50:08> FDR on peptides complete. For 0.01 FDR found 50,079 targets and 500 decoys.\n", - "2022-03-23 06:50:09> Extracting fragment_ions\n", - "2022-03-23 06:50:24> Extracting fragment_ions complete.\n", - "2022-03-23 06:50:24> Scoring of files [] complete.\n", - "2022-03-23 06:50:25> ==== isobaric_labeling ====\n", - "2022-03-23 06:50:25> ==== protein_grouping ====\n" + "2022-03-27 07:50:58> Processing 1 files for step score_hdf\n", + "2022-03-27 07:50:58> Calling score_hdf\n", + "2022-03-27 07:51:00> Found second search psms for scoring.\n", + "2022-03-27 07:51:10> 56,725 target (5,672 decoy) of 114837 PSMs. fdr 0.099991 for a cutoff of 23.46 (set fdr was 0.1)\n", + "2022-03-27 07:51:11> Training & cross-validation on 25517 targets and 25517 decoys\n", + "2022-03-27 07:52:02> The best parameters selected by 5-fold cross-validation were {'clf__max_depth': 25, 'clf__max_leaf_nodes': 250}\n", + "2022-03-27 07:52:02> The train accuracy was 0.7609436846024219\n", + "2022-03-27 07:52:02> Testing on 102068 targets and 102068 decoys\n", + "2022-03-27 07:52:04> The test accuracy was 0.7190990320178704\n", + "2022-03-27 07:52:04> Top features {'hits_y': 0.14454939195072516, 'x_tandem': 0.13661645559424979, 'hits': 0.1337016367262908, 'fragments_matched_n_ratio': 0.10431476305438686, 'temp_idx': 0.09350106368808633, 'fragments_matched_int_ratio': 0.05347857322182798, 'mass': 0.03131735118027697, 'mass_db': 0.028108566245034, 'index': 0.01995277509496355, 'n_missed': 0.017787252002207043, 'mz': 0.017580770510797088, 'fragments_matched_int_sum': 0.015349753042354763, 'n_AA': 0.014502032549700315, 'hits_y-NH3': 0.011281254478112838, 'hits_y-H2O': 0.010815761403474134, 'ms1_int_sum': 0.010677481359594796, 'charge': 0.010205967538602093, 'delta_m_ppm_abs': 0.009843037518827992, 'prec_offset': 0.009601346627598598, 'ms1_int_apex': 0.008994995815328003, 'hits_b': 0.008849155670109956, 'prec_offset_ppm': 0.008709586710638043, 'n_fragments_matched': 0.007928923991548287, 'fragments_int_sum': 0.007843943262969274, 'prec_offset_raw_ppm': 0.007453325820106966, 'fragments_int_ratio': 0.007435958890466957, 'scan_no': 0.0074218300395125425, 'prec_offset_raw': 0.007392306302210991, 'fwhm': 0.007327756553558381, 'hits_b-H2O': 0.00716258047561293, 'delta_m': 0.0069622223333762724, 'rt_start': 0.006947967861954356, 'delta_m_ppm': 0.006877614515368878, 'rt_end': 0.006600314822663461, 'rt': 0.005998188324481377, 'rt_apex': 0.0056197416223711825, 'hits_b-NH3': 0.001261676671466059, 'n_internal': 2.6676529145249627e-05, 'localexp': 0.0}\n", + "2022-03-27 07:52:11> 79,905 target (799 decoy) of 159898 PSMs. fdr 0.009999 for a cutoff of 0.73 (set fdr was 0.01)\n", + "2022-03-27 07:52:11> Saving identifications to ms_data file.\n", + "2022-03-27 07:52:12> Saving identifications to ms_data file complete.\n", + "2022-03-27 07:52:17> Saving identifications to csv file complete.\n", + "2022-03-27 07:52:17> Filter df with custom score\n", + "2022-03-27 07:52:18> Global FDR on precursor\n", + "2022-03-27 07:52:19> 50,175 target (501 decoy) of 115308 PSMs. fdr 0.009985 for a cutoff of 0.78 (set fdr was 0.01)\n", + "2022-03-27 07:52:19> Global FDR cutoff at 0.7784390312396698.\n", + "2022-03-27 07:52:19> FDR on peptides complete. For 0.01 FDR found 50,175 targets and 501 decoys.\n", + "2022-03-27 07:52:19> Extracting fragment_ions\n", + "2022-03-27 07:52:35> Extracting fragment_ions complete.\n", + "2022-03-27 07:52:35> Scoring of files [] complete.\n", + "2022-03-27 07:52:35> ==== isobaric_labeling ====\n", + "2022-03-27 07:52:35> ==== protein_grouping ====\n" ] }, { @@ -26059,8 +26035,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:50:27> Fasta dict with length 20,611, Pept dict with length 44,174\n", - "2022-03-23 06:50:27> Extracting protein groups.\n" + "2022-03-27 07:52:38> Fasta dict with length 20,611, Pept dict with length 44,265\n", + "2022-03-27 07:52:38> Extracting protein groups.\n" ] }, { @@ -26077,18 +26053,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:50:28> A total of 41,139 unique and 2,535 shared peptides.\n", - "2022-03-23 06:50:29> A total of 709 ambigious proteins\n", - "2022-03-23 06:50:29> A total of 480 unique and 20 shared peptides.\n", - "2022-03-23 06:50:29> A total of 20 ambigious proteins\n", - "2022-03-23 06:50:29> Global FDR on protein_group\n", - "2022-03-23 06:50:29> 5,733 target (57 decoy) of 6817 PSMs. fdr 0.009942 for a cutoff of 0.95 (set fdr was 0.01)\n", - "2022-03-23 06:50:29> Global FDR cutoff at 0.9452856498425979.\n", - "2022-03-23 06:50:30> FDR on proteins complete. For 0.01 FDR found 49,405 targets and 58 decoys. A total of 5,790 proteins found.\n", - "2022-03-23 06:50:30> Saving complete.\n", - "2022-03-23 06:50:30> Protein groups complete.\n", - "2022-03-23 06:50:30> ==== quantification ====\n", - "2022-03-23 06:50:30> Reading protein_fdr for quantification.\n" + "2022-03-27 07:52:39> A total of 41,224 unique and 2,540 shared peptides.\n", + "2022-03-27 07:52:40> A total of 707 ambigious proteins\n", + "2022-03-27 07:52:40> A total of 488 unique and 13 shared peptides.\n", + "2022-03-27 07:52:40> A total of 13 ambigious proteins\n", + "2022-03-27 07:52:40> Global FDR on protein_group\n", + "2022-03-27 07:52:40> 5,820 target (58 decoy) of 6838 PSMs. fdr 0.009966 for a cutoff of 0.94 (set fdr was 0.01)\n", + "2022-03-27 07:52:40> Global FDR cutoff at 0.9398621307568438.\n", + "2022-03-27 07:52:41> FDR on proteins complete. For 0.01 FDR found 49,585 targets and 65 decoys. A total of 5,878 proteins found.\n", + "2022-03-27 07:52:41> Saving complete.\n", + "2022-03-27 07:52:41> Protein groups complete.\n", + "2022-03-27 07:52:41> ==== quantification ====\n", + "2022-03-27 07:52:41> Reading protein_fdr for quantification.\n" ] }, { @@ -26109,9 +26085,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:50:30> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", - "2022-03-23 06:50:30> Complete.\n", - "2022-03-23 06:50:30> Starting profile extraction.\n" + "2022-03-27 07:52:41> Saving protein_groups after delayed normalization to combined_protein_fdr_dn\n", + "2022-03-27 07:52:41> Complete.\n", + "2022-03-27 07:52:41> Starting profile extraction.\n" ] }, { @@ -26126,27 +26102,27 @@ "\n", "\n", "\n", - "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 7.24it/s]\u001b[A\u001b[A\u001b[A\u001b[A" + "100%|████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 6.15it/s]\u001b[A\u001b[A\u001b[A\u001b[A" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2022-03-23 06:50:30> LFQ complete.\n", - "2022-03-23 06:50:30> Extracting protein_summary\n", - "2022-03-23 06:50:30> Saved protein_summary of length 5,790 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", - "2022-03-23 06:50:31> Updating protein_fdr.\n", - "2022-03-23 06:50:31> Exporting as csv.\n", - "2022-03-23 06:50:33> Saved df of length 49,463 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", - "2022-03-23 06:50:33> ==== export ====\n", - "2022-03-23 06:50:37> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", - "2022-03-23 06:50:37> Analysis complete.\n" + "2022-03-27 07:52:41> LFQ complete.\n", + "2022-03-27 07:52:42> Extracting protein_summary\n", + "2022-03-27 07:52:42> Saved protein_summary of length 5,878 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results_protein_summary.csv\n", + "2022-03-27 07:52:42> Updating protein_fdr.\n", + "2022-03-27 07:52:42> Exporting as csv.\n", + "2022-03-27 07:52:44> Saved df of length 49,650 saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results\n", + "2022-03-27 07:52:44> ==== export ====\n", + "2022-03-27 07:52:49> Settings saved to F:\\projects\\alphapept\\sandbox\\temp\\test_temp\\results.yaml\n", + "2022-03-27 07:52:49> Analysis complete.\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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