From 168440e2e3bc8ea417b2c19a392b09eb367d1059 Mon Sep 17 00:00:00 2001 From: Ruhollah Majdoddin Date: Wed, 24 Jan 2024 11:02:42 +0100 Subject: [PATCH 1/7] not complete: generate code structure, then complete code, then inputs, then run on each input, check (input, output, error) for each function --- alpha_codium/gen/coding_competitor.py | 6 +- .../gen/stages/run_generate_code_structure.py | 50 ++++++++++++ ...de_contests_prompts_generate_ai_tests.toml | 21 +++-- ...tests_prompts_generate_code_structure.toml | 63 +++++++++++++++ ...ntests_prompts_generate_function_body.toml | 72 +++++++++++++++++ .../code_contests_prompts_test_ai_inputs.toml | 79 +++++++++++++++++++ alpha_codium/settings/configuration.toml | 4 +- maj/another_sorting_problem.py | 75 ++++++++++++++++++ maj/debug.py | 37 +++++++++ maj/notes.txt | 15 ++++ 10 files changed, 407 insertions(+), 15 deletions(-) create mode 100644 alpha_codium/gen/stages/run_generate_code_structure.py create mode 100644 alpha_codium/settings/code_contests_prompts_generate_code_structure.toml create mode 100644 alpha_codium/settings/code_contests_prompts_generate_function_body.toml create mode 100644 alpha_codium/settings/code_contests_prompts_test_ai_inputs.toml create mode 100644 maj/another_sorting_problem.py create mode 100644 maj/debug.py create mode 100644 maj/notes.txt diff --git a/alpha_codium/gen/coding_competitor.py b/alpha_codium/gen/coding_competitor.py index 9214595..fc604ae 100644 --- a/alpha_codium/gen/coding_competitor.py +++ b/alpha_codium/gen/coding_competitor.py @@ -9,6 +9,7 @@ from alpha_codium.gen.stages.run_evaluate_all_ai_tests import run_evaluate_all_ai_tests from alpha_codium.gen.stages.run_evaluate_public_tests import run_evaluate_public_tests from alpha_codium.gen.stages.run_generate_ai_test import run_generate_ai_tests +from alpha_codium.gen.stages.run_generate_code_structure import run_generate_code_structure from alpha_codium.gen.stages.run_generate_possible_solutions import run_generate_possible_solutions from alpha_codium.gen.stages.run_self_reflect import run_self_reflect from alpha_codium.gen.stages.run_initial_code_generation import run_initial_code_generation @@ -76,7 +77,10 @@ async def run(self, problem, iteration=0, logger_ext=None): problem = await run_choose_best_solution(self, problem) # generate ai tests - problem = await run_generate_ai_tests(self, problem) + #problem = await run_generate_ai_tests(self, problem) + + # generate code structure + problem = await run_generate_code_structure(self, problem) # initial code generation problem = await run_initial_code_generation(self, problem) diff --git a/alpha_codium/gen/stages/run_generate_code_structure.py b/alpha_codium/gen/stages/run_generate_code_structure.py new file mode 100644 index 0000000..1fdd250 --- /dev/null +++ b/alpha_codium/gen/stages/run_generate_code_structure.py @@ -0,0 +1,50 @@ +import functools +import logging + +from alpha_codium.gen.stages.indirect.run_validate_ai_test import run_validate_ai_tests +from alpha_codium.gen.utils import load_yaml +from alpha_codium.settings.config_loader import get_settings +from alpha_codium.llm.ai_invoker import send_inference +from alpha_codium.log import get_logger + +logger = get_logger(__name__) + + +async def run_generate_code_structure(self, problem): + counter_retry = 0 + while True: + try: + logger.info("--generate code structure stage--") + + # get settings + # validate_ai_tests = get_settings().get('generate_ai_tests.validate_ai_tests', False) + # problem['number_of_ai_tests'] = get_settings().get("generate_ai_tests.number_of_ai_tests", 8) + # problem['use_test_explanations_possible_solutions'] = get_settings().get('generate_ai_tests.use_test_explanations') + + # get prompt + f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_generate_ai_tests") + + # inference + response_problem_tests, _ = await send_inference(f) + problem['problem_ai_tests'] = load_yaml(response_problem_tests, + keys_fix_yaml=["input:", "output:", "explanation:"])['tests'] + problem['problem_ai_simple_test'] = problem['problem_ai_tests'][0] + + if validate_ai_tests: + problem = await run_validate_ai_tests(self, problem) + + # adding public tests to the beginning and end of the list, for the ai-iterate stage + if get_settings().get('generate_ai_tests.add_public_tests_to_ai_tests', False): + for public_input, public_output in zip(problem['public_tests']['input'], + problem['public_tests']['output']): + # to the beginning of the list + problem['problem_ai_tests'].insert(0, {'input': public_input, 'output': public_output}) + # to the end of the list + problem['problem_ai_tests'].append({'input': public_input, 'output': public_output}) + + return problem + except Exception as e: + logging.error(f"'generate ai tests' stage, counter_retry {counter_retry}, Error: {e}") + counter_retry += 1 + if counter_retry > 2: + raise e diff --git a/alpha_codium/settings/code_contests_prompts_generate_ai_tests.toml b/alpha_codium/settings/code_contests_prompts_generate_ai_tests.toml index 4ac249e..88d2327 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_ai_tests.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_ai_tests.toml @@ -18,27 +18,26 @@ self-reflection on the problem: {{ self_reflection|trim }} ====== -{%- if use_test_explanations_possible_solutions %} - - Here are also explanations for the problem test cases: ============ {{ tests_explanations_str|trim }} ============ -{%- endif %} +Here is an implementation of the problem: +============ +{{ ????|trim }} +============ -Your task is to generate additional {{ number_of_ai_tests }} diverse input-output examples for the code contest problem. -Try to cover cases that are not covered by the original tests. Also include a test for large inputs. +Your task is to generate additional 10 diverse input examples for the code contest problem. +Try to cover cases that are not covered by the original tests, or are challengin for this implementation. Also include a test for large inputs. The generated tests should be sorted by difficulty, from easiest to hardest. -All the inputs should be valid, and the outputs are correct. Double check them, and validate they match the problem description ans rules. +All the inputs should be valid, explicit, and can be directly inputted to the code. Double check them, and validate they strictly match the problem description ans rules. The output must be a valid YAML object equivalent to type $ProblemTests, according to the following Pydantic definitions: ====== class Test(BaseModel): input: str - output: str - explanation: str = Field(description='Short explanation how we got the output from the input. Be specific') + explanation: str = Field(description='Short explanation if it is a valid input. Be specific') class ProblemTests(BaseModel): tests: List[Test] = Field(min_items={{number_of_ai_tests}}, max_items={{number_of_ai_tests}}) @@ -50,8 +49,6 @@ Example YAML output: tests: - input: | ... - output: | - ... explanation: | ... ... @@ -60,5 +57,5 @@ tests: Each YAML output MUST be after a newline, indented, with block scalar indicator ('|'). Answer: -```yaml\ +```yaml """ \ No newline at end of file diff --git a/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml b/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml new file mode 100644 index 0000000..4f90a17 --- /dev/null +++ b/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml @@ -0,0 +1,63 @@ +[code_contests_prompts_solve] +temperature = 0.3 +system= """\ +- You must divide the generated code into small sub-functions, with meaningful names and functionality. Skip the body of functions. +- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. +""" +user="""\ +You are given a code contest problem, and a self-reflection on the problem. + + +problem description: +============= +{{ description|trim }} +============= + + +self-reflection on the problem: +====== +{{ self_reflection|trim }} +====== + + +Your goal is to generate a valid Python code structure that would correctly solve the code contest problem, using the following algorithm: +============= +{{ s_best_solution|trim }} +============= + + + +Guidelines: +- You must divide the generated code into small sub-functions, with meaningful names, parameters and functionality. +- Double-check the generated code strcture. It should generalize to any valid input, and not just the provided examples. +- Skip the function bodies, just comment which part of algorithm it implements, which other generated functions it calls, and what it returns. +- Make sure to address the problem constraints. +- The code needs to be self-contained. + + + +Your output should follow this structure: +``` +def f1(...): + """ + part of algorithm + calls nothing + returns ... + """ +def f2(...): + part of algorithm + calls f1() + returns ... +... + +if __name__ == "__main__": + """ + part of algorithm + calls f2() + """ +``` + + +Answer: +```python +""" \ No newline at end of file diff --git a/alpha_codium/settings/code_contests_prompts_generate_function_body.toml b/alpha_codium/settings/code_contests_prompts_generate_function_body.toml new file mode 100644 index 0000000..8c31232 --- /dev/null +++ b/alpha_codium/settings/code_contests_prompts_generate_function_body.toml @@ -0,0 +1,72 @@ +[code_contests_prompts_solve] +temperature = 0.3 +system= """\ +- You must divide the generated code into small sub-functions, with meaningful names and functionality. Skip the body of functions. +- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. +""" +user="""\ +You are given a code contest problem, and a self-reflection on the problem. + + +problem description: +============= +{{ description|trim }} +============= + + +self-reflection on the problem: +====== +{{ self_reflection|trim }} +====== + +Your goal is to generate a valid Python implementation only for all functions and the global part according to the following algorithm and code structure: +Algorithm: +============= +{{ s_best_solution|trim }} +============= +Code Structure: +============= +{{ code_structure|trim }} +============= + +Guidelines: +- Use meaningful names for parameters and variables. +- Double-check each function. It should implement the part of algorithm in its comments, and generalize to any valid parameters, and not just the provided examples. +- Make sure to address the problem constraints. +- Add necessary imports. +- keep the comments intact. + +Your output should follow this structure: +``` +import ... +def f2(...): + """ + part of algorithm + calls nothing + returns ... + """ + ... + return ... + +def f1(...): + """ + part of algorithm + calls f2() + returns ... + """ + ... + return ... + +if __name__ == "__main__": + """ + part of algorithm + calls f2() + """ + ... +``` + + +Answer: +```python +""" + diff --git a/alpha_codium/settings/code_contests_prompts_test_ai_inputs.toml b/alpha_codium/settings/code_contests_prompts_test_ai_inputs.toml new file mode 100644 index 0000000..de36c0e --- /dev/null +++ b/alpha_codium/settings/code_contests_prompts_test_ai_inputs.toml @@ -0,0 +1,79 @@ +[code_contests_prompts_generate_ai_tests] +temperature = 0.2 +system = """\ +""" + +User="""\ +You are given a code contest problem and a self-reflection on the problem: + + +problem description: +====== +{{ description|trim }} +====== + + +self-reflection on the problem: +====== +{{ self_reflection|trim }} +====== + +Here are also explanations for the problem test cases: +============ +{{ tests_explanations_str|trim }} +============ + +Here is a Python Code for the above algorithm to solve the problem: +============ +{{ ????|trim }} +============ + + +Running the above code, the function sort_books() with arguments + [(1, 'AB'), (2, 'CD')] +raised error: + 'cmp' is an invalid keyword argument for sort(). + +Your task is to analyise the argument, and function body. Check if the arguments are valid according to the function comments. +If the arguments are valid, find the cause of error, say how to fix it, and give the fixed code for sort_books(). Keep the comments. +The output must be a valid YAML object equivalent to type $FunctionError, according to the following Pydantic definitions: +====== +class FunctionError(BaseModel): + valid_arguments: bool + explanation: str = Field(description='Short explanation if the arguments are valid. Be specific') + error_cause: str = Field(description='Short explanation of the casue of error. Be specific') + fix: str = Field(description='Short explanation of the fix. Be specific') + new_code: str = Field(description='Fixed code of function in Python.') + import: str = Field(description='New imports needed by fixed function, if any.') +====== + +Guidelines: +- Use meaningful names for variables. +- Double-check the fixed code. It should implement the part of algorithm in its comments, and generalize to any valid parameters, and not just the provided examples, and of course fix the error. +- Make sure to address the problem constraints. +- Add necessary new imports if any. +- keep the function's name, signature and comments intact. + + +Example YAML output: +```yaml +valid_arguments: | + ... +explanation: | + ... +error_cause: | + ... +fix: | + ... +new_code: | + def f(...): + ... +import: | + import ... +``` + +Each YAML output MUST be after a newline, indented, with block scalar indicator ('|'). + +Answer: +```yaml +""" \ No newline at end of file diff --git a/alpha_codium/settings/configuration.toml b/alpha_codium/settings/configuration.toml index 1492c29..3fa6c87 100644 --- a/alpha_codium/settings/configuration.toml +++ b/alpha_codium/settings/configuration.toml @@ -3,8 +3,8 @@ model="gpt-4-0613" #model = "gpt-3.5-turbo-16k" ai_timeout=90 # seconds fallback_models =[] -verbosity_level=0 # 0,1,2 -private_dataset_cache_dir="~/.cache/huggingface/datasets/alpha_codium" +verbosity_level=2 # 0,1,2 +private_dataset_cache_dir="~/ai/alphacodium" max_requests_per_minute=60 diff --git a/maj/another_sorting_problem.py b/maj/another_sorting_problem.py new file mode 100644 index 0000000..4902697 --- /dev/null +++ b/maj/another_sorting_problem.py @@ -0,0 +1,75 @@ +#added by the fix +from functools import cmp_to_key + +def parse_input(): + """ + Parses the input to extract the number of books n and their titles. + Returns a tuple (n, book_titles) where n is the number of books and book_titles is a list of book titles. + Calls nothing. + """ + n, _ = map(int, input().split()) + book_titles = [input().strip() for _ in range(n)] + return n, book_titles + +def create_indexed_list(book_titles): + """ + Creates a list of tuples, where each tuple contains a book title and its original index. + Calls nothing. + Returns a list of tuples [(index, title), ...]. + """ + return [(index + 1, title) for index, title in enumerate(book_titles)] + +def compare_titles(title1, title2): + """ + Custom comparator function that compares two book titles according to the combined ascending-descending order. + Calls nothing. + Returns a negative number if title1 should come before title2, a positive number if title1 should come after title2, or 0 if they are equal. + """ + for i in range(len(title1)): + if i % 2 == 0: # Odd position (0-indexed) + if title1[i] != title2[i]: + return ord(title1[i]) - ord(title2[i]) + else: # Even position (0-indexed) + if title1[i] != title2[i]: + return ord(title2[i]) - ord(title1[i]) + return 0 + +#originally generated +# def sort_books(indexed_books): +# """ +# Sorts the indexed book titles using a built-in sorting function with the custom comparator function. +# Calls compare_titles(). +# Returns the sorted list of indexed book titles. +# """ +# return sorted(indexed_books, key=lambda book: book[1], cmp=compare_titles) + +#fixed +def sort_books(indexed_books): + """ + Sorts the indexed book titles using a built-in sorting function with the custom comparator function. + Calls compare_titles(). + Returns the sorted list of indexed book titles. + """ + return sorted(indexed_books, key=cmp_to_key(lambda book1, book2: compare_titles(book1[1], book2[1]))) + +def extract_indices(sorted_books): + """ + Extracts and returns the original indices of the book titles from the sorted list of tuples. + Calls nothing. + Returns a list of indices. + """ + return [index for index, _ in sorted_books] + +def main(): + """ + Main execution flow of the program. + Calls parse_input(), create_indexed_list(), sort_books(), and extract_indices(). + """ + n, book_titles = parse_input() + indexed_books = create_indexed_list(book_titles) + sorted_books = sort_books(indexed_books) + sorted_indices = extract_indices(sorted_books) + print(' '.join(map(str, sorted_indices))) + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/maj/debug.py b/maj/debug.py new file mode 100644 index 0000000..e7be400 --- /dev/null +++ b/maj/debug.py @@ -0,0 +1,37 @@ +import logging +import inspect +from functools import wraps + +logging.basicConfig(level=logging.DEBUG) + +def log_inputs_outputs_errors(func): + @wraps(func) + def wrapper(*args, **kwargs): + arg_str = ", ".join([f"{repr(arg)}" for arg in args]) + kwarg_str = ", ".join([f"{key}={repr(value)}" for key, value in kwargs.items()]) + logging.debug(f"Calling {func.__name__} with arguments: {arg_str}, {kwarg_str}") + + try: + result = func(*args, **kwargs) + logging.debug(f"{func.__name__} returned: {repr(result)}") + return result + except Exception as e: + logging.error(f"Error in {func.__name__}: {str(e)}") + raise # Re-raise the exception + + return wrapper + +def apply_logging_decorator_to_module(module): + for name, obj in inspect.getmembers(module): + if inspect.isfunction(obj): + setattr(module, name, log_inputs_outputs_errors(obj)) + +# Example usage +import test # Replace with the actual module name + +# Apply the decorator to all functions in the module +apply_logging_decorator_to_module(test) + +# Now, when you call functions from my_module, the decorator will log inputs, outputs, and errors + +test.main() \ No newline at end of file diff --git a/maj/notes.txt b/maj/notes.txt new file mode 100644 index 0000000..e390d50 --- /dev/null +++ b/maj/notes.txt @@ -0,0 +1,15 @@ +in readme.md, correct the path to example.log +in sample yaml should be -output (- fails) +the generated AI examples are all false! +the first ai test is the public test +when iterating on ai tests, it is asked to correct the flow, but the original flow is not given + +it seems to generate too many functions, but it is easier to test. +The functions inputs can't be generated by AI, because they may have constraints that are not easy for LLM to generate. + +idea: add import in functions, so it does not forget it. + +in runing in AI input, it can be asked to check if implementation matches the part of algo. +Also if argument is not valid, the calling function should be corrected. + +TODO global code in main() \ No newline at end of file From ff1b6692e8e31e154aed02bc74121c25ae247236 Mon Sep 17 00:00:00 2001 From: Ruhollah Majdoddin Date: Sat, 27 Jan 2024 02:12:21 +0100 Subject: [PATCH 2/7] some corrections to toml files --- ...tests_prompts_generate_code_structure.toml | 28 ++- ...ntests_prompts_generate_function_body.toml | 30 ++- ...s_prompts_generate_possible_solutions.toml | 46 +++- .../code_contests_prompts_reflect.toml | 9 +- maj/debug.py | 6 +- maj/notes.txt | 225 +++++++++++++++++- 6 files changed, 302 insertions(+), 42 deletions(-) diff --git a/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml b/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml index 4f90a17..10e119c 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml @@ -1,4 +1,4 @@ -[code_contests_prompts_solve] +[code_contests_prompts_generate_code_structure] temperature = 0.3 system= """\ - You must divide the generated code into small sub-functions, with meaningful names and functionality. Skip the body of functions. @@ -26,35 +26,43 @@ Your goal is to generate a valid Python code structure that would correctly solv ============= - Guidelines: - You must divide the generated code into small sub-functions, with meaningful names, parameters and functionality. - Double-check the generated code strcture. It should generalize to any valid input, and not just the provided examples. - Skip the function bodies, just comment which part of algorithm it implements, which other generated functions it calls, and what it returns. - Make sure to address the problem constraints. -- The code needs to be self-contained. - Your output should follow this structure: ``` def f1(...): - """ + ''' part of algorithm calls nothing returns ... - """ + ''' + ... + return ... + def f2(...): + ''' part of algorithm calls f1() returns ... + ''' + ... + return ... ... +def main(): + ''' + Main execution flow of the program. + Calls f2(). + ''' + ... + if __name__ == "__main__": - """ - part of algorithm - calls f2() - """ + main() ``` diff --git a/alpha_codium/settings/code_contests_prompts_generate_function_body.toml b/alpha_codium/settings/code_contests_prompts_generate_function_body.toml index 8c31232..21efb7b 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_function_body.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_function_body.toml @@ -1,4 +1,4 @@ -[code_contests_prompts_solve] +[code_contests_prompts_generate_function_body] temperature = 0.3 system= """\ - You must divide the generated code into small sub-functions, with meaningful names and functionality. Skip the body of functions. @@ -19,7 +19,7 @@ self-reflection on the problem: {{ self_reflection|trim }} ====== -Your goal is to generate a valid Python implementation only for all functions and the global part according to the following algorithm and code structure: +Your goal is to generate a valid Python implementation for all functions of the following code structure, according to the following algorithm: Algorithm: ============= {{ s_best_solution|trim }} @@ -34,35 +34,41 @@ Guidelines: - Double-check each function. It should implement the part of algorithm in its comments, and generalize to any valid parameters, and not just the provided examples. - Make sure to address the problem constraints. - Add necessary imports. -- keep the comments intact. +- Output should be a self-contained code. +- Keep the code structure and the comments intact. + Your output should follow this structure: ``` import ... def f2(...): - """ + ''' part of algorithm calls nothing returns ... - """ + ''' ... return ... def f1(...): - """ + ''' part of algorithm calls f2() returns ... - """ + ''' ... return ... +... -if __name__ == "__main__": - """ - part of algorithm - calls f2() - """ +def main(): + ''' + Main execution flow of the program. + Calls f2(). + ''' ... + +if __name__ == "__main__": + main() ``` diff --git a/alpha_codium/settings/code_contests_prompts_generate_possible_solutions.toml b/alpha_codium/settings/code_contests_prompts_generate_possible_solutions.toml index bfbe995..0f36e97 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_possible_solutions.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_possible_solutions.toml @@ -29,6 +29,9 @@ Here are also explanations for the problem test cases: Your goal is to come up with possible solutions to the code contest problem. Guidelines: +- Try to base each solution on valid, key algorithmic observations. +- Give an efficient brute force solution, if you do not find a better algorithm. +- Avoid being overly specific. For instance, use 'sort' instead of specifying 'merge sort'. - Make sure each solution fully addresses the problem goals, constraints, examples, and notes. - Each solution must have reasonable runtime and memory complexity - less than three seconds on a modern computer, given the problem constraints for large inputs. - Double-check the solutions. Each possible solution must be able to generalize to additional test cases, not just the ones provided in the problem description. @@ -37,6 +40,7 @@ The output must be a YAML object equivalent to type $ProblemSolutions, according ====== class Solution(BaseModel): name: str = Field(description="The name of the solution") + key_observation: str = Field(description="The name of the solution") content: str = Field(description="A description of the solution") why_it_works: str = Field(description="Shortly explain why this solution correctly solves the problem. Be specific and detailed regarding the problem rules and goals.") labels: List[str] = Field(description="A list of labels for the solution. For example (partial list): binary search, dynamic programming, trees, combinatorics, dfs, bfs, graphs, greedy, math, data structures, geometry, number theory, two pointers, simulation, direct approach, probabilities, ...") @@ -47,23 +51,41 @@ class $ProblemSolutions(BaseModel): possible_solutions: List[Solution] = Field(max_items={{max_num_of_possible_solutions}}, description="A list of possible solutions to the problem. Make sure each solution fully addresses the problem rules and goals.") ====== +====== +class Solution(BaseModel): + name: str = Field(description="The name of the solution") + key_observations: List[str] = Field(description="A list of valid, key algorithmic observations") + content: str = Field(description="A description of the solution") + why_it_works: str = Field(description="Shortly explain why this solution correctly solves the problem. Be specific and detailed regarding the problem rules and goals.") + labels: List[str] = Field(description="A list of labels for the solution. For example (partial list): binary search, dynamic programming, trees, combinatorics, dfs, bfs, graphs, greedy, math, data structures, geometry, number theory, two pointers, simulation, direct approach, probabilities, ...") + complexity: str = Field(description="The complexity of the solution") + +class $ProblemSolutions(BaseModel): + possible_solutions: List[Solution] = Field(max_items={{max_num_of_possible_solutions}}, description="A list of possible solutions to the problem. Make sure each solution fully addresses the problem rules and goals.") +====== + Example YAML output: ```yaml possible_solutions: -- name: | - ... - content: | - ... - why_it_works: | - ... - labels: - - ... - - ... - complexity: | - ... + - name: | + ... + key_observations: + - ... + - ... + content: | + ... + why_it_works: | + ... + labels: + - ... + - ... + complexity: | + ... ``` +Each YAML output MUST be after a newline, indented, with block scalar indicator ('|'). + Answer: -```yaml\ +```yaml """ \ No newline at end of file diff --git a/alpha_codium/settings/code_contests_prompts_reflect.toml b/alpha_codium/settings/code_contests_prompts_reflect.toml index 9bf10be..bc8040d 100644 --- a/alpha_codium/settings/code_contests_prompts_reflect.toml +++ b/alpha_codium/settings/code_contests_prompts_reflect.toml @@ -17,16 +17,16 @@ problem description: Given the code contest problem, you have two tasks: 1) Reflect on the problem, and describe it in your own words, in bullet points. Pay attention to small details, nuances, notes and examples in the problem description. -2) Explain how each provided example input leads to the corresponding output (in total {{ actual_number_of_tests }} examples are provided). -Read carefully the problem description. Make sure the test explanations are consistent with them, and between themselves. -The explanation must coherently and logically lead from the input to the output. Be as specific as possible. +2) Explain how each provided example is in the correct format and matches your understanding of the problem. If it shows an edge/special case, explain it. Do NOT try to verify the output (in total {{ actual_number_of_tests }} examples are provided). +Read carefully the problem description. Make sure the example explanations are consistent with them, and between themselves. +Be as specific as possible. The output must be a YAML object equivalent to type $ProblemReflection, according to the following Pydantic definitions: ===== Class InputOutput(BaseModel): input: str output: str - explanation: str = Field(description="Short explanation how the test input leads to the test output.") + explanation: str = Field(description="Short explanation why the examples are in correct format.") class ProblemReflection(BaseModel): @@ -51,6 +51,7 @@ tests_explanations: ... ``` +Each YAML output MUST be after a newline, indented, with block scalar indicator ('|'). Answer: ```yaml diff --git a/maj/debug.py b/maj/debug.py index e7be400..b6a7d90 100644 --- a/maj/debug.py +++ b/maj/debug.py @@ -27,11 +27,11 @@ def apply_logging_decorator_to_module(module): setattr(module, name, log_inputs_outputs_errors(obj)) # Example usage -import test # Replace with the actual module name +import optimal_insertion # Replace with the actual module name # Apply the decorator to all functions in the module -apply_logging_decorator_to_module(test) +apply_logging_decorator_to_module(optimal_insertion) # Now, when you call functions from my_module, the decorator will log inputs, outputs, and errors -test.main() \ No newline at end of file +optimal_insertion.main() \ No newline at end of file diff --git a/maj/notes.txt b/maj/notes.txt index e390d50..48d5170 100644 --- a/maj/notes.txt +++ b/maj/notes.txt @@ -12,4 +12,227 @@ idea: add import in functions, so it does not forget it. in runing in AI input, it can be asked to check if implementation matches the part of algo. Also if argument is not valid, the calling function should be corrected. -TODO global code in main() \ No newline at end of file +TODO global code in main() + +It seems public tests reasoning is disabled. why not to emable it? + +how chatGPT can create long inputs? +generate code structure + Add explanation of testcases. + test cases are repeated in refection. remove it from problem explanation. + Main body is gerated here +generate function body: + Do we need the final "Your output should follow this structure"? + Can main() body change or remain intakt? + + + + +You are given a code contest problem, and a self-reflection on the problem. + + +problem description: +===== +You are given two arrays of integers a_1, a_2, …, a_n and b_1, b_2, …, b_m. + +You need to insert all elements of b into a in an arbitrary way. As a result you will get an array c_1, c_2, …, c_{n+m} of size n + m. + +Note that you are not allowed to change the order of elements in a, while you can insert elements of b at arbitrary positions. They can be inserted at the beginning, between any elements of a, or at the end. Moreover, elements of b can appear in the resulting array in any order. + +What is the minimum possible number of inversions in the resulting array c? Recall that an inversion is a pair of indices (i, j) such that i < j and c_i > c_j. + +Input + +Each test contains multiple test cases. The first line contains the number of test cases t (1 ≤ t ≤ 10^4). Description of the test cases follows. + +The first line of each test case contains two integers n and m (1 ≤ n, m ≤ 10^6). + +The second line of each test case contains n integers a_1, a_2, …, a_n (1 ≤ a_i ≤ 10^9). + +The third line of each test case contains m integers b_1, b_2, …, b_m (1 ≤ b_i ≤ 10^9). + +It is guaranteed that the sum of n for all tests cases in one input doesn't exceed 10^6. The sum of m for all tests cases doesn't exceed 10^6 as well. + +Output + +For each test case, print one integer — the minimum possible number of inversions in the resulting array c. + +Example + +Input + + +3 +3 4 +1 2 3 +4 3 2 1 +3 3 +3 2 1 +1 2 3 +5 4 +1 3 5 3 1 +4 3 6 1 + + +Output + + +0 +4 +6 + +Note + +Below is given the solution to get the optimal answer for each of the example test cases (elements of a are underscored). + + * In the first test case, c = [\underline{1}, 1, \underline{2}, 2, \underline{3}, 3, 4]. + * In the second test case, c = [1, 2, \underline{3}, \underline{2}, \underline{1}, 3]. + * In the third test case, c = [\underline{1}, 1, 3, \underline{3}, \underline{5}, \underline{3}, \underline{1}, 4, 6]. +===== + + +self-reflection on the problem: +============ +- The problem revolves around inserting elements from one array (b) into another (a) to form a new array (c). +- The objective is to minimize the number of inversions in the resulting array. An inversion occurs when a larger number precedes a smaller one. +- The order of elements in array a must remain unchanged. However, elements from b can be inserted in any order and position relative to a. +- We are given multiple test cases. Each test case consists of two lines following the line that mentions the number of test cases. +- The first line of each test case specifies the sizes of arrays a (n) and b (m), and the next two lines list their elements. +- The constraints for the test cases are outlined (1 ≤ n, m ≤ 10^6, 1 ≤ a_i, b_i ≤ 10^9), including the total sum of n and m for all test cases. +- The required output is the minimum number of inversions in the array c for each test case. +- The problem description includes example test cases with their inputs and the expected outputs, illustrating how the insertion should be done to achieve the minimum inversions. +============ + + +Here are also explanations for the problem test cases: +============ +- input: | + 3 + 3 4 + 1 2 3 + 4 3 2 1 + 3 3 + 3 2 1 + 1 2 3 + 5 4 + 1 3 5 3 1 + 4 3 6 1 + output: | + 0 + 4 + 6 + explanation: | + - These examples follow the problem format: a number indicating test cases, followed by each case with array sizes and elements. + - Test 1: Demonstrates no inversions are necessary. The elements of b are inserted in such a way that they do not create any inversions with elements of a. + - Test 2: Shows a case where inversions are unavoidable. The minimum number of inversions here is 4. + - Test 3: Presents a more complex scenario with a larger array, where the minimum inversions are 6. This test checks the algorithm's effectiveness in a more intricate setup. + - The examples cover different scenarios and validate the problem's rules and constraints, ensuring the solution must handle varying degrees of complexity and different arrangements. +============ + +Your goal is to generate a valid Python implementation for all functions of the following code structure, according to the following algorithm: +Algorithm: +============= +possible_solutions: + - name: | + Greedy Insertion with Preprocessing + key_observations: + - "The order of elements in array a must remain unchanged, but elements of b can be inserted in any order." + - "Inversions are minimized when each element of b is inserted in a position where it causes the least inversions with elements of a." + - "For each element in b, the optimal position is between elements of a that are both greater than or equal to it, to avoid inversions." + - "A preprocessing step is needed to efficiently find the optimal position for each element of b." + content: | + The solution involves two main steps: + 1. Preprocessing array a to find the optimal insertion points for the elements of b. This can be done by creating a sorted version of a and using binary search to find the optimal insertion points for each element of b. + 2. Iterating over each element of b, finding its optimal insertion point using the preprocessed data, and inserting it into the array c at that position. The array c is initially a copy of a, and elements of b are inserted into it one by one. + why_it_works: | + This solution works because it minimizes the inversions by carefully choosing where to insert each element of b. By using binary search on the sorted version of a, the algorithm quickly finds the position where the element of b will cause the fewest inversions. The preprocessing step ensures that the insertion points can be found efficiently for each element of b. + labels: + - greedy + - binary search + - preprocessing + - sorting + complexity: | + The time complexity is O(n log n + m log n) where n is the size of array a, and m is the size of array b. This includes the time for sorting array a and performing binary search for each element of b. The space complexity is O(n), needed for the sorted version of array a. +============= + +Code Structure: +============= +def binary_search(arr, x): + """ + Performs binary search in the sorted array arr to find the position of x. + Calls nothing. + Returns the index where x should be inserted in arr. + """ + # Implement binary search + return index + +def preprocess_array_a(arr_a): + """ + Sorts the array a and prepares it for binary search. + Calls nothing. + Returns the sorted array. + """ + # Sort array a + return sorted_arr_a + +def find_optimal_insertions(arr_a, arr_b, sorted_arr_a): + """ + Finds optimal insertion points for each element of b in array a. + Calls binary_search(). + Returns a list of positions where elements of b should be inserted in arr_a. + """ + # Find optimal positions for each element in b + return insertion_positions + +def insert_elements(arr_a, arr_b, insertion_positions): + """ + Inserts elements of b into a at their optimal positions. + Calls nothing. + Returns the final array c. + """ + # Insert elements of b into a at calculated positions + return arr_c + +def count_inversions(arr): + """ + Counts the number of inversions in the array. + Calls nothing. + Returns the total number of inversions. + """ + # Count inversions + return inversions + +def main(): + """ + Main execution flow of the program. + Reads input, calls preprocess_array_a(), find_optimal_insertions(), insert_elements(), and count_inversions(). + """ + t = int(input().strip()) # Number of test cases + for _ in range(t): + n, m = map(int, input().split()) + arr_a = list(map(int, input().split())) + arr_b = list(map(int, input().split())) + + sorted_arr_a = preprocess_array_a(arr_a) + insertion_positions = find_optimal_insertions(arr_a, arr_b, sorted_arr_a) + arr_c = insert_elements(arr_a, arr_b, insertion_positions) + inversions = count_inversions(arr_c) + + print(inversions) + +if __name__ == "__main__": + main() +============= + +Guidelines: +- Use meaningful names for parameters and variables. +- Double-check each function. It should implement the part of algorithm in its comments, and generalize to any valid parameters, and not just the provided examples. +- Make sure to address the problem constraints. +- Add necessary imports. +- Output should be a self-contained code. +- Keep the code structure and the comments intact. + +Answer: +```python +""" + From b177d33104b7a401b3e5cfc0ff1c2ac830edec58 Mon Sep 17 00:00:00 2001 From: Ruhollah Majdoddin Date: Mon, 5 Feb 2024 07:56:27 +0100 Subject: [PATCH 3/7] more implementation --- alpha_codium/gen/coding_competitor.py | 28 +-- alpha_codium/gen/stages/debug.py | 71 ++++++ .../gen/stages/run_choose_best_solution.py | 15 +- .../stages/run_code_structure_generation.py | 37 +++ .../stages/run_function_body_generation.py | 37 +++ .../gen/stages/run_generate_ai_test.py | 2 +- .../gen/stages/run_generate_code_structure.py | 50 ---- .../stages/run_generate_possible_solutions.py | 5 +- alpha_codium/gen/stages/run_public_tests.py | 70 ++++++ alpha_codium/log/__init__.py | 2 +- ...contests_prompts_choose_best_solution.toml | 37 +-- ...de_contests_prompts_generate_ai_tests.toml | 11 +- ...tests_prompts_generate_code_structure.toml | 6 +- ...ntests_prompts_generate_function_body.toml | 4 +- ...s_prompts_generate_possible_solutions.toml | 14 -- .../code_contests_prompts_test_ai_inputs.toml | 17 +- alpha_codium/settings/configuration.toml | 2 +- maj/debug.py | 37 --- maj/notes.txt | 225 +----------------- 19 files changed, 285 insertions(+), 385 deletions(-) create mode 100644 alpha_codium/gen/stages/debug.py create mode 100644 alpha_codium/gen/stages/run_code_structure_generation.py create mode 100644 alpha_codium/gen/stages/run_function_body_generation.py delete mode 100644 alpha_codium/gen/stages/run_generate_code_structure.py create mode 100644 alpha_codium/gen/stages/run_public_tests.py delete mode 100644 maj/debug.py diff --git a/alpha_codium/gen/coding_competitor.py b/alpha_codium/gen/coding_competitor.py index fc604ae..62840d6 100644 --- a/alpha_codium/gen/coding_competitor.py +++ b/alpha_codium/gen/coding_competitor.py @@ -8,11 +8,13 @@ from alpha_codium.gen.stages.run_choose_best_solution import run_choose_best_solution from alpha_codium.gen.stages.run_evaluate_all_ai_tests import run_evaluate_all_ai_tests from alpha_codium.gen.stages.run_evaluate_public_tests import run_evaluate_public_tests +from alpha_codium.gen.stages.run_public_tests import run_public_tests from alpha_codium.gen.stages.run_generate_ai_test import run_generate_ai_tests -from alpha_codium.gen.stages.run_generate_code_structure import run_generate_code_structure +from alpha_codium.gen.stages.run_code_structure_generation import run_code_structure_generation from alpha_codium.gen.stages.run_generate_possible_solutions import run_generate_possible_solutions from alpha_codium.gen.stages.run_self_reflect import run_self_reflect from alpha_codium.gen.stages.run_initial_code_generation import run_initial_code_generation +from alpha_codium.gen.stages.run_function_body_generation import run_function_body_generation from alpha_codium.gen.stages.utils import set_configurations from alpha_codium.gen.utils import evaluate_solution_on_subset from alpha_codium.llm.ai_handler import AiHandler @@ -65,32 +67,28 @@ async def run(self, problem, iteration=0, logger_ext=None): problem['code_recent_solution'] = await run_baseline(self, problem) else: # configurations - problem = set_configurations(problem, iteration) + #problem = set_configurations(problem, iteration) # self-reflect - problem = await run_self_reflect(self, problem) + #problem = await run_self_reflect(self, problem) # generate solutions - problem = await run_generate_possible_solutions(self, problem) + #problem = await run_generate_possible_solutions(self, problem) # choose best solution - problem = await run_choose_best_solution(self, problem) + #problem = await run_choose_best_solution(self, problem) - # generate ai tests + # generate ai tests (only inputs) #problem = await run_generate_ai_tests(self, problem) # generate code structure - problem = await run_generate_code_structure(self, problem) + #problem = await run_code_structure_generation(self, problem) - # initial code generation - problem = await run_initial_code_generation(self, problem) - - # evaluate on public tests - problem = await run_evaluate_public_tests(self, problem) - - # evaluate on ai tests - problem = await run_evaluate_all_ai_tests(self, problem) + # function body generation + #problem = await run_function_body_generation(self, problem) + #evaluate on tests + problem = await run_public_tests(self, problem) return problem['code_recent_solution'] except Exception as e: logging.error(f"Error: {e}") diff --git a/alpha_codium/gen/stages/debug.py b/alpha_codium/gen/stages/debug.py new file mode 100644 index 0000000..ce71d82 --- /dev/null +++ b/alpha_codium/gen/stages/debug.py @@ -0,0 +1,71 @@ + +import inspect +from functools import wraps +import types +from alpha_codium.log import get_logger + + +logger = get_logger(__name__) + +def log_inputs_outputs_errors(func, calls): + @wraps(func) + def wrapper(*args, **kwargs): + arg_str = ", ".join([f"{repr(arg)}" for arg in args]) + kwarg_str = ", ".join([f"{key}={repr(value)}" for key, value in kwargs.items()]) + logger.debug(f"Calling {func.__name__} with arguments: {arg_str}, {kwarg_str}") + + exception_info = None + return_val = None + try: + return_val = func(*args, **kwargs) + logger.debug(f"{func.__name__} returned: {repr(return_val)}") + except Exception as e: + exception_info = e + logger.debug(f"Error in {func.__name__}: {str(e)}") + #raise # Re-raise the exception + finally: + # Store the call information including exception if any + calls.append({"func":func.__name__, "args":args, "kwargs":kwargs, "return_val":return_val, "excep":exception_info}) + return return_val + return wrapper + +def apply_logging_decorator_to_module(module, calls): + for name, obj in inspect.getmembers(module): + if inspect.isfunction(obj): + setattr(module, name, log_inputs_outputs_errors(obj, calls)) + +def exec_code(code, inp): + #TODO Timeout + #TODO multiple inputs + # Step 1: Convert candidate code to a module + + candidate_module = types.ModuleType("code_module") + exec(code, candidate_module.__dict__) + + calls = [] + # Step 2: Apply logging decorator to all functions in the candidate module + apply_logging_decorator_to_module(candidate_module, calls) + + # Now, when you call functions from my_module, the decorator will log inputs, outputs, and errors + inputs = inp.strip().split('\n') + inputs = iter(inputs) # Create an iterator over the inputs + + # Define a new input function that returns the next item from the iterator + #original_input = candidate_module.__dict__['__builtins__']['input'] # Backup the original input function + candidate_module.__dict__['__builtins__']['input'] = lambda prompt='': next(inputs) + + captured_outputs = [] # List to store captured print outputs + + # Custom print function that captures outputs + def custom_print(*args, **kwargs): + captured_outputs.append(' '.join(map(str, args))) + + candidate_module.__dict__['__builtins__']['print'] = custom_print + + try: + candidate_module.main() # Call the main function with the overridden input + finally: + pass + #__builtins__.input = original_input # Restore the original input function + return calls, '\n'.join(captured_outputs) + diff --git a/alpha_codium/gen/stages/run_choose_best_solution.py b/alpha_codium/gen/stages/run_choose_best_solution.py index df49456..858e135 100644 --- a/alpha_codium/gen/stages/run_choose_best_solution.py +++ b/alpha_codium/gen/stages/run_choose_best_solution.py @@ -4,6 +4,7 @@ from alpha_codium.log import get_logger from alpha_codium.gen.utils import load_yaml from alpha_codium.settings.config_loader import get_settings +import yaml logger = get_logger(__name__) @@ -14,20 +15,26 @@ async def run_choose_best_solution(self, problem): try: logger.info("--choose best solution stage--") + #TODO if only one possible solution, no inference needed + # get settings f = functools.partial(self._run, problem=problem, prompt=choose_prompt()) # inference response_best_solution, _ = await send_inference(f) response_best_solution_yaml = load_yaml(response_best_solution, - keys_fix_yaml=["name:", "content:", "why:", "- "]) + keys_fix_yaml=["name:", "content:", "why:", "flow:", "- "]) + + problem['s_best_solution'] = response_best_solution_yaml + problem['s_best_solution_str'] = response_best_solution.strip() + + # set best solution, and other solutions + problem['s_other_solutions'] = [] - # update best solution - problem['s_best_solution'] = response_best_solution if 's_possible_solutions' in problem: problem['s_other_solutions'] = [] for solution in problem['s_possible_solutions']: - if solution['name'] != response_best_solution_yaml['name']: + if solution['name'].strip().lower() != response_best_solution_yaml['name'].strip().lower(): problem['s_other_solutions'].append(solution) return problem diff --git a/alpha_codium/gen/stages/run_code_structure_generation.py b/alpha_codium/gen/stages/run_code_structure_generation.py new file mode 100644 index 0000000..c5b411a --- /dev/null +++ b/alpha_codium/gen/stages/run_code_structure_generation.py @@ -0,0 +1,37 @@ +import functools +import logging + +from alpha_codium.gen.stages.indirect.run_validate_ai_test import run_validate_ai_tests +from alpha_codium.gen.utils import load_yaml +from alpha_codium.settings.config_loader import get_settings +from alpha_codium.llm.ai_invoker import send_inference +from alpha_codium.log import get_logger + +logger = get_logger(__name__) + + +async def run_code_structure_generation(self, problem): + counter_retry = 0 + while True: + try: + logger.info("--code structure generation stage--") + + # get prompt + f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_generate_code_structure") + + response_code, _ = await send_inference(f) + + # clean up the response + response_code = response_code.rstrip("` \n") + if response_code.startswith("```python"): + response_code = response_code[10:] + elif response_code.startswith("python"): + response_code = response_code[6:] + + problem['code_structure'] = response_code + return problem + except Exception as e: + logging.error(f"'code structure generation' stage, counter_retry {counter_retry}, Error: {e}") + counter_retry += 1 + if counter_retry > 2: + raise e diff --git a/alpha_codium/gen/stages/run_function_body_generation.py b/alpha_codium/gen/stages/run_function_body_generation.py new file mode 100644 index 0000000..ed5a068 --- /dev/null +++ b/alpha_codium/gen/stages/run_function_body_generation.py @@ -0,0 +1,37 @@ +import functools +import logging + +from alpha_codium.gen.stages.indirect.run_validate_ai_test import run_validate_ai_tests +from alpha_codium.gen.utils import load_yaml +from alpha_codium.settings.config_loader import get_settings +from alpha_codium.llm.ai_invoker import send_inference +from alpha_codium.log import get_logger + +logger = get_logger(__name__) + + +async def run_function_body_generation(self, problem): + counter_retry = 0 + while True: + try: + logger.info("--function body generation stage--") + + # get prompt + f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_generate_function_body") + + response_code, _ = await send_inference(f) + + # clean up the response + response_code = response_code.rstrip("` \n") + if response_code.startswith("```python"): + response_code = response_code[10:] + elif response_code.startswith("python"): + response_code = response_code[6:] + + problem['code'] = response_code + return problem + except Exception as e: + logging.error(f"'function body generation' stage, counter_retry {counter_retry}, Error: {e}") + counter_retry += 1 + if counter_retry > 2: + raise e diff --git a/alpha_codium/gen/stages/run_generate_ai_test.py b/alpha_codium/gen/stages/run_generate_ai_test.py index 6e3acb8..79c12df 100644 --- a/alpha_codium/gen/stages/run_generate_ai_test.py +++ b/alpha_codium/gen/stages/run_generate_ai_test.py @@ -27,7 +27,7 @@ async def run_generate_ai_tests(self, problem): # inference response_problem_tests, _ = await send_inference(f) problem['problem_ai_tests'] = load_yaml(response_problem_tests, - keys_fix_yaml=["input:", "output:", "explanation:"])['tests'] + keys_fix_yaml=["input:", "explanation:"])['tests'] problem['problem_ai_simple_test'] = problem['problem_ai_tests'][0] if validate_ai_tests: diff --git a/alpha_codium/gen/stages/run_generate_code_structure.py b/alpha_codium/gen/stages/run_generate_code_structure.py deleted file mode 100644 index 1fdd250..0000000 --- a/alpha_codium/gen/stages/run_generate_code_structure.py +++ /dev/null @@ -1,50 +0,0 @@ -import functools -import logging - -from alpha_codium.gen.stages.indirect.run_validate_ai_test import run_validate_ai_tests -from alpha_codium.gen.utils import load_yaml -from alpha_codium.settings.config_loader import get_settings -from alpha_codium.llm.ai_invoker import send_inference -from alpha_codium.log import get_logger - -logger = get_logger(__name__) - - -async def run_generate_code_structure(self, problem): - counter_retry = 0 - while True: - try: - logger.info("--generate code structure stage--") - - # get settings - # validate_ai_tests = get_settings().get('generate_ai_tests.validate_ai_tests', False) - # problem['number_of_ai_tests'] = get_settings().get("generate_ai_tests.number_of_ai_tests", 8) - # problem['use_test_explanations_possible_solutions'] = get_settings().get('generate_ai_tests.use_test_explanations') - - # get prompt - f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_generate_ai_tests") - - # inference - response_problem_tests, _ = await send_inference(f) - problem['problem_ai_tests'] = load_yaml(response_problem_tests, - keys_fix_yaml=["input:", "output:", "explanation:"])['tests'] - problem['problem_ai_simple_test'] = problem['problem_ai_tests'][0] - - if validate_ai_tests: - problem = await run_validate_ai_tests(self, problem) - - # adding public tests to the beginning and end of the list, for the ai-iterate stage - if get_settings().get('generate_ai_tests.add_public_tests_to_ai_tests', False): - for public_input, public_output in zip(problem['public_tests']['input'], - problem['public_tests']['output']): - # to the beginning of the list - problem['problem_ai_tests'].insert(0, {'input': public_input, 'output': public_output}) - # to the end of the list - problem['problem_ai_tests'].append({'input': public_input, 'output': public_output}) - - return problem - except Exception as e: - logging.error(f"'generate ai tests' stage, counter_retry {counter_retry}, Error: {e}") - counter_retry += 1 - if counter_retry > 2: - raise e diff --git a/alpha_codium/gen/stages/run_generate_possible_solutions.py b/alpha_codium/gen/stages/run_generate_possible_solutions.py index 1dc06b8..b2af3cc 100644 --- a/alpha_codium/gen/stages/run_generate_possible_solutions.py +++ b/alpha_codium/gen/stages/run_generate_possible_solutions.py @@ -26,9 +26,10 @@ async def run_generate_possible_solutions(self, problem): # inference response_possible_solutions, _ = await send_inference(f) - response_possible_solutions_yaml = load_yaml(response_possible_solutions) + response_possible_solutions_yaml = load_yaml(response_possible_solutions, + keys_fix_yaml=["name:", "key_observations:", "content:", "why_it_works:", "labels:", "complexity:", "- "]) - if get_settings().get('possible_solutions.remove_bruce_force_solutions'): + if get_settings().get('possible_solutions.remove_brute_force_solutions'): for i, s in enumerate(response_possible_solutions_yaml['possible_solutions']): if 'brute' in s['name'].lower(): response_possible_solutions_yaml['possible_solutions'].pop(i) diff --git a/alpha_codium/gen/stages/run_public_tests.py b/alpha_codium/gen/stages/run_public_tests.py new file mode 100644 index 0000000..3392e53 --- /dev/null +++ b/alpha_codium/gen/stages/run_public_tests.py @@ -0,0 +1,70 @@ +import functools +import logging +from alpha_codium.gen.stages.debug import exec_code + +from alpha_codium.gen.stages.indirect.run_validate_ai_test import run_validate_ai_tests +from alpha_codium.gen.utils import load_yaml +from alpha_codium.settings.config_loader import get_settings +from alpha_codium.llm.ai_invoker import send_inference +from alpha_codium.log import get_logger + +logger = get_logger(__name__) + +iter_num = 10 +async def run_public_tests(self, problem): + counter_retry = 0 + while True: + try: + logger.info("--tests stage--") + inputs = problem['public_tests']['input'] + outputs = problem['public_tests']['output'] + success_n = 0 + for i, (inp, outp) in enumerate(zip(inputs,outputs)): + for iter in range(iter_num): + success = True + calls, output = exec_code(problem['code'], inp) + #check output of main() + # if (not calls[-1]['excep']) and calls[-1]['return_val'] == outp: + # success = True + # break + for call in calls: + problem['call'] = call + if call['excep']: + success = False + # get prompt + f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_fix_solution") + logger.info(f"Failed to pass the test after {iter+1} attempts, there was an exception.") + fixed_code, _ = await send_inference(f) + # clean up the response + if success: + if output.strip() != outp.strip(): + success = False + logger.info(f"Failed to pass the test after {iter+1} attempts, the output is incorrect.") + #tell LLM that there was no exceptions, but the outputs do not match + #let LLM check input/output of each method. + f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_fix_solution") + fixed_code, _ = await send_inference(f) + + if success: + success_n +=1 + logger.info(f"Passed tests after {iter+1} attempts") + break + elif iter < iter_num - 1: + fixed_code = fixed_code.rstrip("` \n") + if fixed_code.startswith("```python"): + fixed_code = fixed_code[10:] + elif fixed_code.startswith("python"): + fixed_code = fixed_code[6:] + + problem['code'] = fixed_code + else: + #FIXME LLM calls in the last iteratoin are useless + logger.info(f"Giving up.") + + logger.info(f"Passed {success_n} tests") + return problem + except Exception as e: + logging.error(f"'tests' stage, counter_retry {counter_retry}, Error: {e}") + counter_retry += 1 + if counter_retry > 2: + raise e \ No newline at end of file diff --git a/alpha_codium/log/__init__.py b/alpha_codium/log/__init__.py index 2bbe5ba..9ea5bef 100644 --- a/alpha_codium/log/__init__.py +++ b/alpha_codium/log/__init__.py @@ -22,7 +22,7 @@ def setup_logger(logger_path: str = "./example.log", if type(level) is not int: level = logging.INFO - fileHandler = logging.FileHandler(logger_path, mode='w') + fileHandler = logging.FileHandler(logger_path, mode='a')#w if fmt == LoggingFormat.JSON: logger.remove(None) diff --git a/alpha_codium/settings/code_contests_prompts_choose_best_solution.toml b/alpha_codium/settings/code_contests_prompts_choose_best_solution.toml index 19ec6ec..f7b056c 100644 --- a/alpha_codium/settings/code_contests_prompts_choose_best_solution.toml +++ b/alpha_codium/settings/code_contests_prompts_choose_best_solution.toml @@ -27,22 +27,15 @@ Here is a list of {{ s_possible_solutions|length }} possible solutions to the pr Using the inputs above, your goal is to choose the best solution to the code contest problem. -Don't just pick the most efficient solution. The main consideration is that the solution can fully solve the problem in a simple and robust manner. +Don't just pick the most efficient solution. The main consideration is that the solution has the most insightfull key observation and can fully solve the problem in a simple and robust manner. Make sure the chosen solution has a reasonable runtime - less than three seconds on a modern computer, given the problem constraints regarding large inputs. +Do not change the selected solution. The output must be a YAML object equivalent to type $ProblemSolution, according to the following Pydantic definitions: ======= -class Test(BaseModel): - input: str - output: str - class ProblemSolution(BaseModel): name: str = Field(description="The name of the best solution") - content: str = Field(description="The content of the best solution") why: str = Field(description="Shortly explain why is this the best solution") - flow: List[str] = Field(description="Describe of the flow of the solution, in bullet points") - problem_tests: List[Test] = Field("List the input-output examples that are provided in the problem description.") - input_output_examples_flow: List[str] = Field(description="Describe, in bullet points, how the proposed flow will lead to getting the expected output for the provided input examples") ======= @@ -50,30 +43,24 @@ Example YAML output: ```yaml name: | ... +key_observations: + - ... + - ... content: | ... -why: | - ... -flow: -- | +why_it_works: | ... -- | +labels: + - ... + - ... +complexity: | ... -... -problem_tests: -- input: | - ... - output: | - ... -input_output_examples_flow: -- | - ... -- | +why_is_best_solution: | ... ``` Each YAML output MUST be after a newline, indented, with block scalar indicator ('|'). Answer: -```yaml\ +```yaml """ diff --git a/alpha_codium/settings/code_contests_prompts_generate_ai_tests.toml b/alpha_codium/settings/code_contests_prompts_generate_ai_tests.toml index 9949dff..913f028 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_ai_tests.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_ai_tests.toml @@ -24,15 +24,10 @@ Here are also explanations for the problem test cases: {{ tests_explanations_str|trim }} ============ -Here is an implementation of the problem: -============ -{{ ????|trim }} -============ - -Your task is to generate additional 10 diverse input examples for the code contest problem. -Try to cover cases that are not covered by the original tests, or are challengin for this implementation. Also include a test for large inputs. +Your task is to generate additional {{number_of_ai_tests}} diverse input examples for the code contest problem. +Try to cover cases that are not covered by the original tests, or are challenging for this implementation. Also include a test for large inputs. The generated tests should be sorted by difficulty, from easiest to hardest. -All the inputs should be valid, explicit, and can be directly inputted to the code. Double check them, and validate they strictly match the problem description ans rules. +All the inputs should be valid, explicit, and can be directly inputted to the code. Double check them, and validate if they strictly match the problem description ans rules. The output must be a valid YAML object equivalent to type $ProblemTests, according to the following Pydantic definitions: ====== diff --git a/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml b/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml index 10e119c..30215c2 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml @@ -22,7 +22,7 @@ self-reflection on the problem: Your goal is to generate a valid Python code structure that would correctly solve the code contest problem, using the following algorithm: ============= -{{ s_best_solution|trim }} +{{ s_best_solution_str|trim }} ============= @@ -32,7 +32,6 @@ Guidelines: - Skip the function bodies, just comment which part of algorithm it implements, which other generated functions it calls, and what it returns. - Make sure to address the problem constraints. - Your output should follow this structure: ``` def f1(...): @@ -65,6 +64,9 @@ if __name__ == "__main__": main() ``` +The final code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. +The output should be printed without additional words using the 'print()' method. + Answer: ```python diff --git a/alpha_codium/settings/code_contests_prompts_generate_function_body.toml b/alpha_codium/settings/code_contests_prompts_generate_function_body.toml index 21efb7b..d582fd0 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_function_body.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_function_body.toml @@ -22,7 +22,7 @@ self-reflection on the problem: Your goal is to generate a valid Python implementation for all functions of the following code structure, according to the following algorithm: Algorithm: ============= -{{ s_best_solution|trim }} +{{ s_best_solution_str|trim }} ============= Code Structure: ============= @@ -71,6 +71,8 @@ if __name__ == "__main__": main() ``` +The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. +The output should be printed without additional words using the 'print()' method. Answer: ```python diff --git a/alpha_codium/settings/code_contests_prompts_generate_possible_solutions.toml b/alpha_codium/settings/code_contests_prompts_generate_possible_solutions.toml index 1180c3d..6b82c2b 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_possible_solutions.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_possible_solutions.toml @@ -38,20 +38,6 @@ Guidelines: - Double-check the solutions. Each possible solution must be able to generalize to additional test cases, not just the ones provided in the problem description. The output must be a YAML object equivalent to type $ProblemSolutions, according to the following Pydantic definitions: -====== -class Solution(BaseModel): - name: str = Field(description="The name of the solution") - key_observation: str = Field(description="The name of the solution") - content: str = Field(description="A description of the solution") - why_it_works: str = Field(description="Shortly explain why this solution correctly solves the problem. Be specific and detailed regarding the problem rules and goals.") - labels: List[str] = Field(description="A list of labels for the solution. For example (partial list): binary search, dynamic programming, trees, combinatorics, dfs, bfs, graphs, greedy, math, data structures, geometry, number theory, two pointers, simulation, direct approach, probabilities, ...") - complexity: str = Field(description="The complexity of the solution") - - -class $ProblemSolutions(BaseModel): - possible_solutions: List[Solution] = Field(max_items={{max_num_of_possible_solutions}}, description="A list of possible solutions to the problem. Make sure each solution fully addresses the problem rules and goals.") -====== - ====== class Solution(BaseModel): name: str = Field(description="The name of the solution") diff --git a/alpha_codium/settings/code_contests_prompts_test_ai_inputs.toml b/alpha_codium/settings/code_contests_prompts_test_ai_inputs.toml index de36c0e..cc6643b 100644 --- a/alpha_codium/settings/code_contests_prompts_test_ai_inputs.toml +++ b/alpha_codium/settings/code_contests_prompts_test_ai_inputs.toml @@ -23,24 +23,29 @@ Here are also explanations for the problem test cases: {{ tests_explanations_str|trim }} ============ +Here is an algorithm to solve the problem: +============ +{{ s_best_solution|trim }} +============ + Here is a Python Code for the above algorithm to solve the problem: ============ -{{ ????|trim }} +{{ call['code']|trim }} ============ -Running the above code, the function sort_books() with arguments - [(1, 'AB'), (2, 'CD')] +Running the above code, the function {{call['func']}} with arguments: + {{call['kwargs']}} raised error: - 'cmp' is an invalid keyword argument for sort(). + {{exc}} Your task is to analyise the argument, and function body. Check if the arguments are valid according to the function comments. -If the arguments are valid, find the cause of error, say how to fix it, and give the fixed code for sort_books(). Keep the comments. +If the arguments are valid, find the cause of error, say how to fix it, and give the fixed code for {{call['func']}}. Keep the comments. The output must be a valid YAML object equivalent to type $FunctionError, according to the following Pydantic definitions: ====== class FunctionError(BaseModel): valid_arguments: bool - explanation: str = Field(description='Short explanation if the arguments are valid. Be specific') + argument_explanation: str = Field(description='Short explanation if the arguments are valid. Be specific') error_cause: str = Field(description='Short explanation of the casue of error. Be specific') fix: str = Field(description='Short explanation of the fix. Be specific') new_code: str = Field(description='Fixed code of function in Python.') diff --git a/alpha_codium/settings/configuration.toml b/alpha_codium/settings/configuration.toml index 3fa6c87..3e7fd37 100644 --- a/alpha_codium/settings/configuration.toml +++ b/alpha_codium/settings/configuration.toml @@ -24,7 +24,7 @@ validate_self_reflection=false [possible_solutions] max_num_of_possible_solutions=3 use_test_explanations=true -remove_bruce_force_solutions=true +remove_brute_force_solutions=false [generate_ai_tests] validate_ai_tests=false diff --git a/maj/debug.py b/maj/debug.py deleted file mode 100644 index b6a7d90..0000000 --- a/maj/debug.py +++ /dev/null @@ -1,37 +0,0 @@ -import logging -import inspect -from functools import wraps - -logging.basicConfig(level=logging.DEBUG) - -def log_inputs_outputs_errors(func): - @wraps(func) - def wrapper(*args, **kwargs): - arg_str = ", ".join([f"{repr(arg)}" for arg in args]) - kwarg_str = ", ".join([f"{key}={repr(value)}" for key, value in kwargs.items()]) - logging.debug(f"Calling {func.__name__} with arguments: {arg_str}, {kwarg_str}") - - try: - result = func(*args, **kwargs) - logging.debug(f"{func.__name__} returned: {repr(result)}") - return result - except Exception as e: - logging.error(f"Error in {func.__name__}: {str(e)}") - raise # Re-raise the exception - - return wrapper - -def apply_logging_decorator_to_module(module): - for name, obj in inspect.getmembers(module): - if inspect.isfunction(obj): - setattr(module, name, log_inputs_outputs_errors(obj)) - -# Example usage -import optimal_insertion # Replace with the actual module name - -# Apply the decorator to all functions in the module -apply_logging_decorator_to_module(optimal_insertion) - -# Now, when you call functions from my_module, the decorator will log inputs, outputs, and errors - -optimal_insertion.main() \ No newline at end of file diff --git a/maj/notes.txt b/maj/notes.txt index 48d5170..9d98a40 100644 --- a/maj/notes.txt +++ b/maj/notes.txt @@ -16,223 +16,12 @@ TODO global code in main() It seems public tests reasoning is disabled. why not to emable it? -how chatGPT can create long inputs? -generate code structure - Add explanation of testcases. - test cases are repeated in refection. remove it from problem explanation. - Main body is gerated here -generate function body: - Do we need the final "Your output should follow this structure"? - Can main() body change or remain intakt? +generate_ai_tests + how chatGPT can create long inputs? + #FIXME adding public tests to the beginning and end of the list: But AI tests have no output! +run_generate_possible_solutions.python + remove_bruce_force_solutions is set to true (in upstream), but we instructed LLM to generate it if no better solution. - - -You are given a code contest problem, and a self-reflection on the problem. - - -problem description: -===== -You are given two arrays of integers a_1, a_2, …, a_n and b_1, b_2, …, b_m. - -You need to insert all elements of b into a in an arbitrary way. As a result you will get an array c_1, c_2, …, c_{n+m} of size n + m. - -Note that you are not allowed to change the order of elements in a, while you can insert elements of b at arbitrary positions. They can be inserted at the beginning, between any elements of a, or at the end. Moreover, elements of b can appear in the resulting array in any order. - -What is the minimum possible number of inversions in the resulting array c? Recall that an inversion is a pair of indices (i, j) such that i < j and c_i > c_j. - -Input - -Each test contains multiple test cases. The first line contains the number of test cases t (1 ≤ t ≤ 10^4). Description of the test cases follows. - -The first line of each test case contains two integers n and m (1 ≤ n, m ≤ 10^6). - -The second line of each test case contains n integers a_1, a_2, …, a_n (1 ≤ a_i ≤ 10^9). - -The third line of each test case contains m integers b_1, b_2, …, b_m (1 ≤ b_i ≤ 10^9). - -It is guaranteed that the sum of n for all tests cases in one input doesn't exceed 10^6. The sum of m for all tests cases doesn't exceed 10^6 as well. - -Output - -For each test case, print one integer — the minimum possible number of inversions in the resulting array c. - -Example - -Input - - -3 -3 4 -1 2 3 -4 3 2 1 -3 3 -3 2 1 -1 2 3 -5 4 -1 3 5 3 1 -4 3 6 1 - - -Output - - -0 -4 -6 - -Note - -Below is given the solution to get the optimal answer for each of the example test cases (elements of a are underscored). - - * In the first test case, c = [\underline{1}, 1, \underline{2}, 2, \underline{3}, 3, 4]. - * In the second test case, c = [1, 2, \underline{3}, \underline{2}, \underline{1}, 3]. - * In the third test case, c = [\underline{1}, 1, 3, \underline{3}, \underline{5}, \underline{3}, \underline{1}, 4, 6]. -===== - - -self-reflection on the problem: -============ -- The problem revolves around inserting elements from one array (b) into another (a) to form a new array (c). -- The objective is to minimize the number of inversions in the resulting array. An inversion occurs when a larger number precedes a smaller one. -- The order of elements in array a must remain unchanged. However, elements from b can be inserted in any order and position relative to a. -- We are given multiple test cases. Each test case consists of two lines following the line that mentions the number of test cases. -- The first line of each test case specifies the sizes of arrays a (n) and b (m), and the next two lines list their elements. -- The constraints for the test cases are outlined (1 ≤ n, m ≤ 10^6, 1 ≤ a_i, b_i ≤ 10^9), including the total sum of n and m for all test cases. -- The required output is the minimum number of inversions in the array c for each test case. -- The problem description includes example test cases with their inputs and the expected outputs, illustrating how the insertion should be done to achieve the minimum inversions. -============ - - -Here are also explanations for the problem test cases: -============ -- input: | - 3 - 3 4 - 1 2 3 - 4 3 2 1 - 3 3 - 3 2 1 - 1 2 3 - 5 4 - 1 3 5 3 1 - 4 3 6 1 - output: | - 0 - 4 - 6 - explanation: | - - These examples follow the problem format: a number indicating test cases, followed by each case with array sizes and elements. - - Test 1: Demonstrates no inversions are necessary. The elements of b are inserted in such a way that they do not create any inversions with elements of a. - - Test 2: Shows a case where inversions are unavoidable. The minimum number of inversions here is 4. - - Test 3: Presents a more complex scenario with a larger array, where the minimum inversions are 6. This test checks the algorithm's effectiveness in a more intricate setup. - - The examples cover different scenarios and validate the problem's rules and constraints, ensuring the solution must handle varying degrees of complexity and different arrangements. -============ - -Your goal is to generate a valid Python implementation for all functions of the following code structure, according to the following algorithm: -Algorithm: -============= -possible_solutions: - - name: | - Greedy Insertion with Preprocessing - key_observations: - - "The order of elements in array a must remain unchanged, but elements of b can be inserted in any order." - - "Inversions are minimized when each element of b is inserted in a position where it causes the least inversions with elements of a." - - "For each element in b, the optimal position is between elements of a that are both greater than or equal to it, to avoid inversions." - - "A preprocessing step is needed to efficiently find the optimal position for each element of b." - content: | - The solution involves two main steps: - 1. Preprocessing array a to find the optimal insertion points for the elements of b. This can be done by creating a sorted version of a and using binary search to find the optimal insertion points for each element of b. - 2. Iterating over each element of b, finding its optimal insertion point using the preprocessed data, and inserting it into the array c at that position. The array c is initially a copy of a, and elements of b are inserted into it one by one. - why_it_works: | - This solution works because it minimizes the inversions by carefully choosing where to insert each element of b. By using binary search on the sorted version of a, the algorithm quickly finds the position where the element of b will cause the fewest inversions. The preprocessing step ensures that the insertion points can be found efficiently for each element of b. - labels: - - greedy - - binary search - - preprocessing - - sorting - complexity: | - The time complexity is O(n log n + m log n) where n is the size of array a, and m is the size of array b. This includes the time for sorting array a and performing binary search for each element of b. The space complexity is O(n), needed for the sorted version of array a. -============= - -Code Structure: -============= -def binary_search(arr, x): - """ - Performs binary search in the sorted array arr to find the position of x. - Calls nothing. - Returns the index where x should be inserted in arr. - """ - # Implement binary search - return index - -def preprocess_array_a(arr_a): - """ - Sorts the array a and prepares it for binary search. - Calls nothing. - Returns the sorted array. - """ - # Sort array a - return sorted_arr_a - -def find_optimal_insertions(arr_a, arr_b, sorted_arr_a): - """ - Finds optimal insertion points for each element of b in array a. - Calls binary_search(). - Returns a list of positions where elements of b should be inserted in arr_a. - """ - # Find optimal positions for each element in b - return insertion_positions - -def insert_elements(arr_a, arr_b, insertion_positions): - """ - Inserts elements of b into a at their optimal positions. - Calls nothing. - Returns the final array c. - """ - # Insert elements of b into a at calculated positions - return arr_c - -def count_inversions(arr): - """ - Counts the number of inversions in the array. - Calls nothing. - Returns the total number of inversions. - """ - # Count inversions - return inversions - -def main(): - """ - Main execution flow of the program. - Reads input, calls preprocess_array_a(), find_optimal_insertions(), insert_elements(), and count_inversions(). - """ - t = int(input().strip()) # Number of test cases - for _ in range(t): - n, m = map(int, input().split()) - arr_a = list(map(int, input().split())) - arr_b = list(map(int, input().split())) - - sorted_arr_a = preprocess_array_a(arr_a) - insertion_positions = find_optimal_insertions(arr_a, arr_b, sorted_arr_a) - arr_c = insert_elements(arr_a, arr_b, insertion_positions) - inversions = count_inversions(arr_c) - - print(inversions) - -if __name__ == "__main__": - main() -============= - -Guidelines: -- Use meaningful names for parameters and variables. -- Double-check each function. It should implement the part of algorithm in its comments, and generalize to any valid parameters, and not just the provided examples. -- Make sure to address the problem constraints. -- Add necessary imports. -- Output should be a self-contained code. -- Keep the code structure and the comments intact. - -Answer: -```python -""" - +run_choose_best_solution + when generating the solutions, LLM automatically generates numbered steps (we can explicitly ask it to do so). it seems when choosing the best one, it simply copy-pastes it. so flow is not necessary. \ No newline at end of file From c31dc10b79adace06df99f3b5d57b07825b8a1c9 Mon Sep 17 00:00:00 2001 From: Ruhollah Majdoddin Date: Fri, 16 Feb 2024 04:58:35 +0100 Subject: [PATCH 4/7] complete cycle of test, debug --- alpha_codium/gen/coding_competitor.py | 31 +-- alpha_codium/gen/stages/debug.py | 77 ++++-- alpha_codium/gen/stages/run_public_tests.py | 86 ++++--- ...contests_prompts_choose_best_solution.toml | 2 + .../settings/code_contests_prompts_debug.toml | 115 +++++++++ .../code_contests_prompts_fix_code.toml | 66 +++++ ...tests_prompts_generate_code_structure.toml | 3 +- ...ntests_prompts_generate_function_body.toml | 3 +- alpha_codium/settings/configuration.toml | 3 +- maj/notes.txt | 238 +++++++++++++++++- 10 files changed, 543 insertions(+), 81 deletions(-) create mode 100644 alpha_codium/settings/code_contests_prompts_debug.toml create mode 100644 alpha_codium/settings/code_contests_prompts_fix_code.toml diff --git a/alpha_codium/gen/coding_competitor.py b/alpha_codium/gen/coding_competitor.py index 62840d6..ae440b4 100644 --- a/alpha_codium/gen/coding_competitor.py +++ b/alpha_codium/gen/coding_competitor.py @@ -66,30 +66,31 @@ async def run(self, problem, iteration=0, logger_ext=None): if get_settings().get("solve.use_baseline", False): problem['code_recent_solution'] = await run_baseline(self, problem) else: - # configurations - #problem = set_configurations(problem, iteration) + #configurations + problem = set_configurations(problem, iteration) - # self-reflect - #problem = await run_self_reflect(self, problem) + # # self-reflect + problem = await run_self_reflect(self, problem) - # generate solutions - #problem = await run_generate_possible_solutions(self, problem) + # # generate solutions + problem = await run_generate_possible_solutions(self, problem) - # choose best solution - #problem = await run_choose_best_solution(self, problem) + # # choose best solution + problem = await run_choose_best_solution(self, problem) - # generate ai tests (only inputs) - #problem = await run_generate_ai_tests(self, problem) + # # generate ai tests (only inputs) + # # problem = await run_generate_ai_tests(self, problem) - # generate code structure - #problem = await run_code_structure_generation(self, problem) + # # generate code structure + problem = await run_code_structure_generation(self, problem) - # function body generation - #problem = await run_function_body_generation(self, problem) + # # function body generation + problem = await run_function_body_generation(self, problem) #evaluate on tests problem = await run_public_tests(self, problem) - return problem['code_recent_solution'] + pass + return problem['code'] except Exception as e: logging.error(f"Error: {e}") return "" diff --git a/alpha_codium/gen/stages/debug.py b/alpha_codium/gen/stages/debug.py index ce71d82..c0cc61d 100644 --- a/alpha_codium/gen/stages/debug.py +++ b/alpha_codium/gen/stages/debug.py @@ -1,38 +1,57 @@ - import inspect from functools import wraps import types from alpha_codium.log import get_logger +import traceback +from pydantic import BaseModel +from typing import Any, List, Optional logger = get_logger(__name__) -def log_inputs_outputs_errors(func, calls): - @wraps(func) +import functools +import yaml + +class FunctionCall(BaseModel): + function: str + input: Optional[Any] = None + output: Optional[Any] = None + exception: Optional[str] = None + calls: List['FunctionCall'] = [] + +FunctionCall.update_forward_refs() + +def log_function_call(func, call_stack): + @functools.wraps(func) def wrapper(*args, **kwargs): - arg_str = ", ".join([f"{repr(arg)}" for arg in args]) - kwarg_str = ", ".join([f"{key}={repr(value)}" for key, value in kwargs.items()]) - logger.debug(f"Calling {func.__name__} with arguments: {arg_str}, {kwarg_str}") + func_input = args if args else kwargs + call_info = FunctionCall( + function=func.__name__, + input= (args, kwargs) + ) + + # Append call_info to the calls list of the last item in call_stack if it exists + if call_stack: + call_stack[-1].calls.append(call_info) + + # Always push the current call_info onto the call_stack + call_stack.append(call_info) - exception_info = None - return_val = None try: - return_val = func(*args, **kwargs) - logger.debug(f"{func.__name__} returned: {repr(return_val)}") + result = func(*args, **kwargs) + call_info.output = result + return result except Exception as e: - exception_info = e - logger.debug(f"Error in {func.__name__}: {str(e)}") - #raise # Re-raise the exception + call_info.exception = str(e) + if len(call_stack) > 1: + raise finally: - # Store the call information including exception if any - calls.append({"func":func.__name__, "args":args, "kwargs":kwargs, "return_val":return_val, "excep":exception_info}) - return return_val + # Pop the current call_info from the call_stack + if len(call_stack) > 1: + call_stack.pop() + return wrapper -def apply_logging_decorator_to_module(module, calls): - for name, obj in inspect.getmembers(module): - if inspect.isfunction(obj): - setattr(module, name, log_inputs_outputs_errors(obj, calls)) def exec_code(code, inp): #TODO Timeout @@ -40,11 +59,14 @@ def exec_code(code, inp): # Step 1: Convert candidate code to a module candidate_module = types.ModuleType("code_module") + #TODO What if the code has syntax error? exec(code, candidate_module.__dict__) - calls = [] + call_stack = [] # Step 2: Apply logging decorator to all functions in the candidate module - apply_logging_decorator_to_module(candidate_module, calls) + for name, obj in inspect.getmembers(candidate_module): + if inspect.isfunction(obj): + setattr(candidate_module, name, log_function_call(obj, call_stack)) # Now, when you call functions from my_module, the decorator will log inputs, outputs, and errors inputs = inp.strip().split('\n') @@ -52,20 +74,23 @@ def exec_code(code, inp): # Define a new input function that returns the next item from the iterator #original_input = candidate_module.__dict__['__builtins__']['input'] # Backup the original input function - candidate_module.__dict__['__builtins__']['input'] = lambda prompt='': next(inputs) + candidate_module.__dict__['input'] = lambda prompt='': next(inputs) captured_outputs = [] # List to store captured print outputs # Custom print function that captures outputs def custom_print(*args, **kwargs): - captured_outputs.append(' '.join(map(str, args))) + end = kwargs.get('end', '\n') # Get 'end' from kwargs or use '\n' as default + captured_outputs.append(' '.join(map(str, args)) + end) - candidate_module.__dict__['__builtins__']['print'] = custom_print + candidate_module.__dict__['print'] = custom_print try: candidate_module.main() # Call the main function with the overridden input + except Exception as e: + print(e) finally: pass #__builtins__.input = original_input # Restore the original input function - return calls, '\n'.join(captured_outputs) + return call_stack[0], ''.join(captured_outputs) diff --git a/alpha_codium/gen/stages/run_public_tests.py b/alpha_codium/gen/stages/run_public_tests.py index 3392e53..f23fd5c 100644 --- a/alpha_codium/gen/stages/run_public_tests.py +++ b/alpha_codium/gen/stages/run_public_tests.py @@ -1,16 +1,36 @@ import functools import logging -from alpha_codium.gen.stages.debug import exec_code +from alpha_codium.gen.stages.debug import exec_code, FunctionCall from alpha_codium.gen.stages.indirect.run_validate_ai_test import run_validate_ai_tests from alpha_codium.gen.utils import load_yaml from alpha_codium.settings.config_loader import get_settings from alpha_codium.llm.ai_invoker import send_inference from alpha_codium.log import get_logger +import yaml logger = get_logger(__name__) -iter_num = 10 +def custom_function_call_representer(dumper, obj): + # Directly creating a representation dictionary including all fields + # without filtering out None values, focusing on 'output' serialization + + inpp = (", ".join([repr(e) for e in obj.input[0]]) + ", ") if obj.input[0] else "" + inpp += ", ".join([k+"="+repr(v) for k, v in obj.input[1].items()]) + + node = { + 'function': obj.function, + 'input': inpp, + # Serializing 'output' using its __repr__(), ensuring it's a string in the YAML + 'output': repr(obj.output), + 'exception': repr(obj.exception), + 'calls': obj.calls, + } + return dumper.represent_dict(node.items()) + +yaml.add_representer(FunctionCall, custom_function_call_representer) + +max_iter = 10 async def run_public_tests(self, problem): counter_retry = 0 while True: @@ -20,46 +40,40 @@ async def run_public_tests(self, problem): outputs = problem['public_tests']['output'] success_n = 0 for i, (inp, outp) in enumerate(zip(inputs,outputs)): - for iter in range(iter_num): + for iter in range(max_iter): success = True - calls, output = exec_code(problem['code'], inp) - #check output of main() - # if (not calls[-1]['excep']) and calls[-1]['return_val'] == outp: - # success = True - # break - for call in calls: - problem['call'] = call - if call['excep']: - success = False - # get prompt - f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_fix_solution") - logger.info(f"Failed to pass the test after {iter+1} attempts, there was an exception.") - fixed_code, _ = await send_inference(f) - # clean up the response - if success: - if output.strip() != outp.strip(): - success = False - logger.info(f"Failed to pass the test after {iter+1} attempts, the output is incorrect.") - #tell LLM that there was no exceptions, but the outputs do not match - #let LLM check input/output of each method. - f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_fix_solution") + callstack, output = exec_code(problem['code'], inp) + problem['test_input'] = inp + problem['test_output'] = outp + problem['output'] = output + problem['callstack_str'] = yaml.dump(callstack, allow_unicode=True, default_flow_style=False) + + if output.strip() != outp.strip(): + logger.info(f"Failed to pass the test after {iter+1} attempts, the output is incorrect.") + if iter == max_iter - 1: + logger.info(f"Giving up.") + continue + else: + f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_debug") + problem['callstack_analysis'], _ = await send_inference(f) + + f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_fix_code") fixed_code, _ = await send_inference(f) + #TODO What if the code has syntax error? + + fixed_code = fixed_code.rstrip("` \n") + if fixed_code.startswith("```python"): + fixed_code = fixed_code[10:] + elif fixed_code.startswith("python"): + fixed_code = fixed_code[6:] - if success: + problem['code'] = fixed_code + pass + else: + #TODO: take care of too long runtime. success_n +=1 logger.info(f"Passed tests after {iter+1} attempts") break - elif iter < iter_num - 1: - fixed_code = fixed_code.rstrip("` \n") - if fixed_code.startswith("```python"): - fixed_code = fixed_code[10:] - elif fixed_code.startswith("python"): - fixed_code = fixed_code[6:] - - problem['code'] = fixed_code - else: - #FIXME LLM calls in the last iteratoin are useless - logger.info(f"Giving up.") logger.info(f"Passed {success_n} tests") return problem diff --git a/alpha_codium/settings/code_contests_prompts_choose_best_solution.toml b/alpha_codium/settings/code_contests_prompts_choose_best_solution.toml index f7b056c..f0e3590 100644 --- a/alpha_codium/settings/code_contests_prompts_choose_best_solution.toml +++ b/alpha_codium/settings/code_contests_prompts_choose_best_solution.toml @@ -2,6 +2,8 @@ temperature = 0.2 frequency_penalty = 0.1 system = """\ +- As a seasoned programmer, choose the best solution. +- Output nothing other that the YAML. """ User="""\ diff --git a/alpha_codium/settings/code_contests_prompts_debug.toml b/alpha_codium/settings/code_contests_prompts_debug.toml new file mode 100644 index 0000000..2bfb36a --- /dev/null +++ b/alpha_codium/settings/code_contests_prompts_debug.toml @@ -0,0 +1,115 @@ +[code_contests_prompts_debug] +temperature = 0.2 +frequency_penalty = 0.1 +system="""\ +-- As a seasoned programmer debug the code. +-- output nothing else before or after the YAML. +""" +user="""\ +You are given a code contest problem: +============= +{{ description|trim }} +============= + +a self-reflection on the problem: +====== +{{ self_reflection|trim }} +====== + +and an Algorithm for the problem: +============= +{{ s_best_solution_str|trim }} +============= + +The code below is an implementation of the algorithm. But run on test input, its output is wrong. +Your task is to study the debug information of the call stack, and to answer these questions: +- Is the output formatting correct? (per problem description) +For each function call (per function comments): +- Is it valid input? +- If invalid input, what caused it? +- If valid input, is the output correct? +- If valid input, if an exception is raised, what caused it? + +If you think the false output has other cause, like false algorithm, or that a function comments are false, say it. + +Code: +================= +{{code|trim}} +================= + +Test input: +===================== +{{test_input|trim}} +===================== +Test output: +==================== +{{test_output|trim}} +==================== + +Code output: +==================== +{{output|trim}} +==================== +Call stack: +=================== +{{callstack_str|trim}} +=================== + +The output must be a YAML object equivalent to type $ProblemReflection, according to the following Pydantic definitions: +=============== +class FunctionCall(BaseModel): + function: str + input: Any = None + valid_input: bool = Field(description="Whether the input to the function was valid.") + invalid_input_cause: Optional[str] = Field(default="", description="what caused the invalid input?") + return_value: Any = None + correct_return_value: bool = Field(description="Whether the input to the function was valid.") + incorrect_return_value: Optional[str] = Field(default="", description="What caused the incorrect output?") + exception: Optional[str] = None + exception_cause: Optional[str] = Field(default="", description="What caused the exception?") + calls: Optional[List['FunctionCall']] = [] + +class DebugAnalysis(BaseModel): + output_formatting_correct: bool = Field(description="Whether the overall output formatting is correct per problem description.") + incorrect_output_formatting: Optional[str] = Field(default="", description="short explanation why the output is not correctly formatted?") + function_calls: FunctionCall = Field(description="Analysis of each function call in the call stack.") + additional_comments: str = Field(default="", description="Any additional comments or observations not covered by the function call analyses.") +================ + +Guidelines: +- Check ouput format against problem description +- Double-check each function call, its input, output per function comments. +- Notice that the cause of incorrect return value or an exception can be other functions that this function calls + +Example YAML output: +```yaml +output_formatting_correct: ... +function_calls: + function: | + ... + input: | + ... + valid_input: | + ... + invalid_input_cause: | + ... + return_value: | + ... + correct_return_value: | + ... + incorrect_return_value: | + ... + exception: | + ... + exception_cause: | + ... + calls: + - ... + ... +additional_comments: | + ... + + +Answer: +```yaml +""" \ No newline at end of file diff --git a/alpha_codium/settings/code_contests_prompts_fix_code.toml b/alpha_codium/settings/code_contests_prompts_fix_code.toml new file mode 100644 index 0000000..0b4b989 --- /dev/null +++ b/alpha_codium/settings/code_contests_prompts_fix_code.toml @@ -0,0 +1,66 @@ +[code_contests_prompts_fix_code] +temperature = 0.3 +frequency_penalty = 0.1 +system="""\ +- As a seasoned prograammer, fix the code +- output nothing else before or after the code +""" +user="""\ +You are given a code contest problem: +============= +{{ description|trim }} +============= + +a self-reflection on the problem: +====== +{{ self_reflection|trim }} +====== + +and an Algorithm for the problem: +============= +{{ s_best_solution_str|trim }} +============= + +The code below is an implementation of the algorithm. But its output on a test input is wrong: + +Code: +================= +{{code|trim}} +================= + +Test input: +===================== +5 2 +AA +AB +BB +BA +AZ +===================== +Test output: +==================== +5 2 1 3 4 +==================== + +Code output: +==================== +1 2 3 4 5 +==================== + +Your task is to correct the code, according to the following analysis of the call stack: + +Analysis of call stack: +=================== +{{callstack_analysis|trim}} +=================== + +Guidelines: +- The correction should be based on the analysis of call stack. +- Give the whole new code. +- Make just the necessary changes. Keep the program structure, if possible. +- Keep the comments intact. Except that a comment is wrong, where you should correct it. +- The code should read the input using the 'input()' method. The output should be printed without additional words using the 'print()' method. + +Answer: +```python +""" \ No newline at end of file diff --git a/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml b/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml index 30215c2..428943c 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_code_structure.toml @@ -1,7 +1,8 @@ [code_contests_prompts_generate_code_structure] temperature = 0.3 system= """\ -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Skip the body of functions. +- As a seasoned programmer, you must divide the generated code into small sub-functions, with meaningful names and functionality. Skip the body of functions. +- output nothing else before or after the code. - Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. """ user="""\ diff --git a/alpha_codium/settings/code_contests_prompts_generate_function_body.toml b/alpha_codium/settings/code_contests_prompts_generate_function_body.toml index d582fd0..746f54a 100644 --- a/alpha_codium/settings/code_contests_prompts_generate_function_body.toml +++ b/alpha_codium/settings/code_contests_prompts_generate_function_body.toml @@ -1,7 +1,7 @@ [code_contests_prompts_generate_function_body] temperature = 0.3 system= """\ -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Skip the body of functions. +- You are a seasoned programmer. ouput nothing other than the code. - Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. """ user="""\ @@ -35,6 +35,7 @@ Guidelines: - Make sure to address the problem constraints. - Add necessary imports. - Output should be a self-contained code. +- Ouput just the code, output nothing before or after the code. - Keep the code structure and the comments intact. diff --git a/alpha_codium/settings/configuration.toml b/alpha_codium/settings/configuration.toml index 3e7fd37..d525e07 100644 --- a/alpha_codium/settings/configuration.toml +++ b/alpha_codium/settings/configuration.toml @@ -1,5 +1,6 @@ [config] -model="gpt-4-0613" +model="gpt-4-0125-preview" +#model="gpt-4-0613" #model = "gpt-3.5-turbo-16k" ai_timeout=90 # seconds fallback_models =[] diff --git a/maj/notes.txt b/maj/notes.txt index 9d98a40..f08d784 100644 --- a/maj/notes.txt +++ b/maj/notes.txt @@ -24,4 +24,240 @@ run_generate_possible_solutions.python remove_bruce_force_solutions is set to true (in upstream), but we instructed LLM to generate it if no better solution. run_choose_best_solution - when generating the solutions, LLM automatically generates numbered steps (we can explicitly ask it to do so). it seems when choosing the best one, it simply copy-pastes it. so flow is not necessary. \ No newline at end of file + when generating the solutions, LLM automatically generates numbered steps (we can explicitly ask it to do so). it seems when choosing the best one, it simply copy-pastes it. so flow is not necessary. + + + + +You are given a code contest problem: +============= +Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. + +Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. + +A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: + + * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; + * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. + +Input + +The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). + +The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. + +Output + +Output n integers — the indices of the strings after they are sorted asc-desc-endingly. + +Example + +Input + + +5 2 +AA +AB +BB +BA +AZ + + +Output + + +5 2 1 3 4 + +Note + +The following illustrates the first example. + + +============= + +a self-reflection on the problem: +====== +- The problem is about sorting a list of book titles in a unique way. Andi and Budi have a bookshelf with 'n' books, each represented by a string of length 'm'. They want to sort these books in an "asc-desc-ending" order. This means that when comparing two book titles, the characters at odd positions are compared in ascending order (A before B), while the characters at even positions are compared in descending order (Z before A). + +- The input consists of two integers 'n' and 'm', followed by 'n' lines each containing a string of length 'm'. These strings represent the book titles. The output should be 'n' integers representing the indices of the book titles after they are sorted in "asc-desc-ending" order. + +- The problem has a constraint that the product of 'n' and 'm' should be less than or equal to 10^6. Also, all book titles are distinct and consist of uppercase Latin letters. +====== + +and an Algorithm for the problem: +============= +name: "Custom Sorting" +key_observations: + - "We need to sort the book titles in a unique way, where characters at odd positions are compared in ascending order and characters at even positions are compared in descending order." + - "We can achieve this by creating a custom comparator function that implements this logic." +content: | + 1. Read the input book titles and store them along with their original indices in a list of pairs. + 2. Sort the list using a custom comparator function. The function should compare two book titles as follows: + - Iterate over the characters of the two strings. For each position, if the characters are different, return the comparison result based on whether the position is odd or even. If it's odd, return the result of comparing the characters in ascending order. If it's even, return the result of comparing them in descending order. + - If all characters are equal (which should not happen as all book titles are distinct), return false. + 3. After sorting, output the original indices of the book titles in their new order. +why_it_works: | + This solution works because it correctly implements the unique sorting rule described in the problem. The custom comparator function ensures that book titles are compared correctly based on the position of their differing character. By storing the original indices of the book titles, we can output them in their new order after sorting. +labels: + - "sorting" + - "custom comparator" +complexity: | + The time complexity is O(n*m*log(n)), where n is the number of book titles and m is the length of each title. This is because we perform a sort operation on n elements, and comparing two elements takes O(m) time. The space complexity is O(n), which is used to store the book titles and their original indices. +why_is_best_solution: | + This solution is the best because it directly addresses the problem's requirements and constraints. It uses a custom sorting function to sort the book titles according to the unique rule specified in the problem. This solution is also efficient, with a time complexity of O(n*m*log(n)), which is acceptable given the problem's constraints. Furthermore, it is simple and easy to understand, making it a robust solution. +============= + +The code below is an implementation of the algorithm. But its output on a test input is wrong: + +Code: +================= +import sys +from functools import cmp_to_key + +def read_input(): + ''' + Reads the input book titles and store them along with their original indices in a list of pairs. + Calls nothing. + Returns a list of pairs where each pair consists of a book title and its original index. + ''' + n, m = map(int, input().strip().split()) + titles = [] + for i in range(n): + title = input().strip() + titles.append((title, i+1)) + return titles + +def compare_titles(a, b): + ''' + Custom comparator function that compares two book titles based on the unique sorting rule. + Calls nothing. + Returns a boolean value indicating whether book title a should come before book title b in the sorted list. + ''' + for i in range(len(a[0])): + if a[0][i] != b[0][i]: + if i % 2 == 0: + return a[0][i] < b[0][i] + else: + return a[0][i] > b[0][i] + return False + +def sort_titles(titles): + ''' + Sorts the list of book titles using the custom comparator function. + Calls compare_titles(). + Returns the sorted list of book titles along with their original indices. + ''' + return sorted(titles, key=cmp_to_key(compare_titles)) + +def print_indices(sorted_titles): + ''' + Prints the original indices of the book titles in their new order after sorting. + Calls nothing. + Returns nothing. + ''' + for title in sorted_titles: + print(title[1], end=" ") + print() + +def main(): + ''' + Main execution flow of the program. + Calls read_input(), sort_titles(), and print_indices(). + ''' + titles = read_input() + sorted_titles = sort_titles(titles) + print_indices(sorted_titles) + +if __name__ == "__main__": + main() +================= + +Test input: +===================== +5 2 +AA +AB +BB +BA +AZ +===================== +Test output: +==================== +5 2 1 3 4 +==================== + +Code output: +==================== +1 2 3 4 5 +==================== + +Your task is to correct the code, according to the following analysis of the call stack: + +Analysis of Call stack: +=================== +output_formatting_correct: true +function_calls: + function: "main" + input: null + valid_input: true + return_value: null + correct_return_value: true + calls: + - function: "read_input" + input: null + valid_input: true + return_value: "[('AA', 1), ('AB', 2), ('BB', 3), ('BA', 4), ('AZ', 5)]" + correct_return_value: true + calls: [] + - function: "sort_titles" + input: "[('AA', 1), ('AB', 2), ('BB', 3), ('BA', 4), ('AZ', 5)]" + valid_input: true + return_value: "[('AA', 1), ('AB', 2), ('BB', 3), ('BA', 4), ('AZ', 5)]" + correct_return_value: false + incorrect_return_value: "The sorting logic in compare_titles is incorrect. It should return -1, 0, or 1, not a boolean." + calls: + - function: "compare_titles" + input: "('AB', 2), ('AA', 1)" + valid_input: true + return_value: "True" + correct_return_value: false + incorrect_return_value: "Should compare for sorting, not return boolean. The logic should account for ascending and descending order properly." + calls: [] + - function: "compare_titles" + input: "('BB', 3), ('AB', 2)" + valid_input: true + return_value: "False" + correct_return_value: false + incorrect_return_value: "Misinterpretation of the sorting logic for odd and even positions." + calls: [] + - function: "compare_titles" + input: "('BA', 4), ('BB', 3)" + valid_input: true + return_value: "False" + correct_return_value: false + incorrect_return_value: "Incorrect handling of even-positioned character comparison." + calls: [] + - function: "compare_titles" + input: "('AZ', 5), ('BA', 4)" + valid_input: true + return_value: "True" + correct_return_value: false + incorrect_return_value: "Incorrect comparison logic for odd and even positions." + calls: [] + - function: "print_indices" + input: "[('AA', 1), ('AB', 2), ('BB', 3), ('BA', 4), ('AZ', 5)]" + valid_input: true + return_value: null + correct_return_value: true + calls: [] +additional_comments: "The primary issue lies within the compare_titles function, where the return type and comparison logic do not align with the requirements for custom sorting in Python. The compare_titles function should return an integer indicating the sort order rather than a boolean. This misalignment causes the sort_titles function to not sort the titles as expected per the unique asc-desc-ending order." +=================== + +Guidelines: +- The correction should be based on the analysis of call stack. +- Give the whole new code. +- Make just the necessary changes. Keep the program structure, if possible. +- The code should read the input using the 'input()' method. The output should be printed without additional words using the 'print()' method. + +Answer: +```python \ No newline at end of file From dbb873ce005602ca4a463609800720a6e255ff54 Mon Sep 17 00:00:00 2001 From: Ruhollah Majdoddin Date: Fri, 16 Feb 2024 06:09:02 +0100 Subject: [PATCH 5/7] todo public tests: run through all function calls when debugging --- alpha_codium/gen/stages/run_public_tests.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/alpha_codium/gen/stages/run_public_tests.py b/alpha_codium/gen/stages/run_public_tests.py index f23fd5c..35e7c69 100644 --- a/alpha_codium/gen/stages/run_public_tests.py +++ b/alpha_codium/gen/stages/run_public_tests.py @@ -35,7 +35,7 @@ async def run_public_tests(self, problem): counter_retry = 0 while True: try: - logger.info("--tests stage--") + logger.info("--debugging stage--") inputs = problem['public_tests']['input'] outputs = problem['public_tests']['output'] success_n = 0 @@ -54,6 +54,7 @@ async def run_public_tests(self, problem): logger.info(f"Giving up.") continue else: + #TODO Go through ALL functoin calls, if max output tokens allows. f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_debug") problem['callstack_analysis'], _ = await send_inference(f) From abc69ea4ee52547edbfca6f36fc88d2ec512ec56 Mon Sep 17 00:00:00 2001 From: Ruhollah Majdoddin Date: Mon, 19 Feb 2024 22:57:29 +0100 Subject: [PATCH 6/7] removing the accidentally added folder maj --- maj/another_sorting_problem.py | 75 ---------- maj/notes.txt | 263 --------------------------------- 2 files changed, 338 deletions(-) delete mode 100644 maj/another_sorting_problem.py delete mode 100644 maj/notes.txt diff --git a/maj/another_sorting_problem.py b/maj/another_sorting_problem.py deleted file mode 100644 index 4902697..0000000 --- a/maj/another_sorting_problem.py +++ /dev/null @@ -1,75 +0,0 @@ -#added by the fix -from functools import cmp_to_key - -def parse_input(): - """ - Parses the input to extract the number of books n and their titles. - Returns a tuple (n, book_titles) where n is the number of books and book_titles is a list of book titles. - Calls nothing. - """ - n, _ = map(int, input().split()) - book_titles = [input().strip() for _ in range(n)] - return n, book_titles - -def create_indexed_list(book_titles): - """ - Creates a list of tuples, where each tuple contains a book title and its original index. - Calls nothing. - Returns a list of tuples [(index, title), ...]. - """ - return [(index + 1, title) for index, title in enumerate(book_titles)] - -def compare_titles(title1, title2): - """ - Custom comparator function that compares two book titles according to the combined ascending-descending order. - Calls nothing. - Returns a negative number if title1 should come before title2, a positive number if title1 should come after title2, or 0 if they are equal. - """ - for i in range(len(title1)): - if i % 2 == 0: # Odd position (0-indexed) - if title1[i] != title2[i]: - return ord(title1[i]) - ord(title2[i]) - else: # Even position (0-indexed) - if title1[i] != title2[i]: - return ord(title2[i]) - ord(title1[i]) - return 0 - -#originally generated -# def sort_books(indexed_books): -# """ -# Sorts the indexed book titles using a built-in sorting function with the custom comparator function. -# Calls compare_titles(). -# Returns the sorted list of indexed book titles. -# """ -# return sorted(indexed_books, key=lambda book: book[1], cmp=compare_titles) - -#fixed -def sort_books(indexed_books): - """ - Sorts the indexed book titles using a built-in sorting function with the custom comparator function. - Calls compare_titles(). - Returns the sorted list of indexed book titles. - """ - return sorted(indexed_books, key=cmp_to_key(lambda book1, book2: compare_titles(book1[1], book2[1]))) - -def extract_indices(sorted_books): - """ - Extracts and returns the original indices of the book titles from the sorted list of tuples. - Calls nothing. - Returns a list of indices. - """ - return [index for index, _ in sorted_books] - -def main(): - """ - Main execution flow of the program. - Calls parse_input(), create_indexed_list(), sort_books(), and extract_indices(). - """ - n, book_titles = parse_input() - indexed_books = create_indexed_list(book_titles) - sorted_books = sort_books(indexed_books) - sorted_indices = extract_indices(sorted_books) - print(' '.join(map(str, sorted_indices))) - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/maj/notes.txt b/maj/notes.txt deleted file mode 100644 index f08d784..0000000 --- a/maj/notes.txt +++ /dev/null @@ -1,263 +0,0 @@ -in readme.md, correct the path to example.log -in sample yaml should be -output (- fails) -the generated AI examples are all false! -the first ai test is the public test -when iterating on ai tests, it is asked to correct the flow, but the original flow is not given - -it seems to generate too many functions, but it is easier to test. -The functions inputs can't be generated by AI, because they may have constraints that are not easy for LLM to generate. - -idea: add import in functions, so it does not forget it. - -in runing in AI input, it can be asked to check if implementation matches the part of algo. -Also if argument is not valid, the calling function should be corrected. - -TODO global code in main() - -It seems public tests reasoning is disabled. why not to emable it? - -generate_ai_tests - how chatGPT can create long inputs? - #FIXME adding public tests to the beginning and end of the list: But AI tests have no output! - -run_generate_possible_solutions.python - remove_bruce_force_solutions is set to true (in upstream), but we instructed LLM to generate it if no better solution. - -run_choose_best_solution - when generating the solutions, LLM automatically generates numbered steps (we can explicitly ask it to do so). it seems when choosing the best one, it simply copy-pastes it. so flow is not necessary. - - - - -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -============= - -a self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a unique way. Andi and Budi have a bookshelf with 'n' books, each represented by a string of length 'm'. They want to sort these books in an "asc-desc-ending" order. This means that when comparing two book titles, the characters at odd positions are compared in ascending order (A before B), while the characters at even positions are compared in descending order (Z before A). - -- The input consists of two integers 'n' and 'm', followed by 'n' lines each containing a string of length 'm'. These strings represent the book titles. The output should be 'n' integers representing the indices of the book titles after they are sorted in "asc-desc-ending" order. - -- The problem has a constraint that the product of 'n' and 'm' should be less than or equal to 10^6. Also, all book titles are distinct and consist of uppercase Latin letters. -====== - -and an Algorithm for the problem: -============= -name: "Custom Sorting" -key_observations: - - "We need to sort the book titles in a unique way, where characters at odd positions are compared in ascending order and characters at even positions are compared in descending order." - - "We can achieve this by creating a custom comparator function that implements this logic." -content: | - 1. Read the input book titles and store them along with their original indices in a list of pairs. - 2. Sort the list using a custom comparator function. The function should compare two book titles as follows: - - Iterate over the characters of the two strings. For each position, if the characters are different, return the comparison result based on whether the position is odd or even. If it's odd, return the result of comparing the characters in ascending order. If it's even, return the result of comparing them in descending order. - - If all characters are equal (which should not happen as all book titles are distinct), return false. - 3. After sorting, output the original indices of the book titles in their new order. -why_it_works: | - This solution works because it correctly implements the unique sorting rule described in the problem. The custom comparator function ensures that book titles are compared correctly based on the position of their differing character. By storing the original indices of the book titles, we can output them in their new order after sorting. -labels: - - "sorting" - - "custom comparator" -complexity: | - The time complexity is O(n*m*log(n)), where n is the number of book titles and m is the length of each title. This is because we perform a sort operation on n elements, and comparing two elements takes O(m) time. The space complexity is O(n), which is used to store the book titles and their original indices. -why_is_best_solution: | - This solution is the best because it directly addresses the problem's requirements and constraints. It uses a custom sorting function to sort the book titles according to the unique rule specified in the problem. This solution is also efficient, with a time complexity of O(n*m*log(n)), which is acceptable given the problem's constraints. Furthermore, it is simple and easy to understand, making it a robust solution. -============= - -The code below is an implementation of the algorithm. But its output on a test input is wrong: - -Code: -================= -import sys -from functools import cmp_to_key - -def read_input(): - ''' - Reads the input book titles and store them along with their original indices in a list of pairs. - Calls nothing. - Returns a list of pairs where each pair consists of a book title and its original index. - ''' - n, m = map(int, input().strip().split()) - titles = [] - for i in range(n): - title = input().strip() - titles.append((title, i+1)) - return titles - -def compare_titles(a, b): - ''' - Custom comparator function that compares two book titles based on the unique sorting rule. - Calls nothing. - Returns a boolean value indicating whether book title a should come before book title b in the sorted list. - ''' - for i in range(len(a[0])): - if a[0][i] != b[0][i]: - if i % 2 == 0: - return a[0][i] < b[0][i] - else: - return a[0][i] > b[0][i] - return False - -def sort_titles(titles): - ''' - Sorts the list of book titles using the custom comparator function. - Calls compare_titles(). - Returns the sorted list of book titles along with their original indices. - ''' - return sorted(titles, key=cmp_to_key(compare_titles)) - -def print_indices(sorted_titles): - ''' - Prints the original indices of the book titles in their new order after sorting. - Calls nothing. - Returns nothing. - ''' - for title in sorted_titles: - print(title[1], end=" ") - print() - -def main(): - ''' - Main execution flow of the program. - Calls read_input(), sort_titles(), and print_indices(). - ''' - titles = read_input() - sorted_titles = sort_titles(titles) - print_indices(sorted_titles) - -if __name__ == "__main__": - main() -================= - -Test input: -===================== -5 2 -AA -AB -BB -BA -AZ -===================== -Test output: -==================== -5 2 1 3 4 -==================== - -Code output: -==================== -1 2 3 4 5 -==================== - -Your task is to correct the code, according to the following analysis of the call stack: - -Analysis of Call stack: -=================== -output_formatting_correct: true -function_calls: - function: "main" - input: null - valid_input: true - return_value: null - correct_return_value: true - calls: - - function: "read_input" - input: null - valid_input: true - return_value: "[('AA', 1), ('AB', 2), ('BB', 3), ('BA', 4), ('AZ', 5)]" - correct_return_value: true - calls: [] - - function: "sort_titles" - input: "[('AA', 1), ('AB', 2), ('BB', 3), ('BA', 4), ('AZ', 5)]" - valid_input: true - return_value: "[('AA', 1), ('AB', 2), ('BB', 3), ('BA', 4), ('AZ', 5)]" - correct_return_value: false - incorrect_return_value: "The sorting logic in compare_titles is incorrect. It should return -1, 0, or 1, not a boolean." - calls: - - function: "compare_titles" - input: "('AB', 2), ('AA', 1)" - valid_input: true - return_value: "True" - correct_return_value: false - incorrect_return_value: "Should compare for sorting, not return boolean. The logic should account for ascending and descending order properly." - calls: [] - - function: "compare_titles" - input: "('BB', 3), ('AB', 2)" - valid_input: true - return_value: "False" - correct_return_value: false - incorrect_return_value: "Misinterpretation of the sorting logic for odd and even positions." - calls: [] - - function: "compare_titles" - input: "('BA', 4), ('BB', 3)" - valid_input: true - return_value: "False" - correct_return_value: false - incorrect_return_value: "Incorrect handling of even-positioned character comparison." - calls: [] - - function: "compare_titles" - input: "('AZ', 5), ('BA', 4)" - valid_input: true - return_value: "True" - correct_return_value: false - incorrect_return_value: "Incorrect comparison logic for odd and even positions." - calls: [] - - function: "print_indices" - input: "[('AA', 1), ('AB', 2), ('BB', 3), ('BA', 4), ('AZ', 5)]" - valid_input: true - return_value: null - correct_return_value: true - calls: [] -additional_comments: "The primary issue lies within the compare_titles function, where the return type and comparison logic do not align with the requirements for custom sorting in Python. The compare_titles function should return an integer indicating the sort order rather than a boolean. This misalignment causes the sort_titles function to not sort the titles as expected per the unique asc-desc-ending order." -=================== - -Guidelines: -- The correction should be based on the analysis of call stack. -- Give the whole new code. -- Make just the necessary changes. Keep the program structure, if possible. -- The code should read the input using the 'input()' method. The output should be printed without additional words using the 'print()' method. - -Answer: -```python \ No newline at end of file From 2e096a745973d9bc6b8e3b7a23a49bff9fca5c6b Mon Sep 17 00:00:00 2001 From: Ruhollah Majdoddin Date: Mon, 11 Mar 2024 10:40:21 +0100 Subject: [PATCH 7/7] Catches the errors in imports and syntax errors when running the generated code. --- alpha_codium/gen/coding_competitor.py | 1 - alpha_codium/gen/example.log | 4779 ----------------- alpha_codium/gen/stages/debug.py | 14 +- alpha_codium/gen/stages/run_public_tests.py | 29 +- .../settings/code_contests_prompts_debug.toml | 71 +- 5 files changed, 65 insertions(+), 4829 deletions(-) diff --git a/alpha_codium/gen/coding_competitor.py b/alpha_codium/gen/coding_competitor.py index ae440b4..08de045 100644 --- a/alpha_codium/gen/coding_competitor.py +++ b/alpha_codium/gen/coding_competitor.py @@ -183,4 +183,3 @@ def solve_problem(dataset_name, f"\ntest_timeout_generate: {test_timeout_generate}, test_timeout_private: {test_timeout_private}, test_timeout_public: {test_timeout_public}") return solution, test_results - diff --git a/alpha_codium/gen/example.log b/alpha_codium/gen/example.log index 8698074..e69de29 100644 --- a/alpha_codium/gen/example.log +++ b/alpha_codium/gen/example.log @@ -1,4779 +0,0 @@ -2024-01-02 15:24:36.620 | INFO | alpha_codium.gen.coding_competitor:solve_problem:103 - problem['cf_tags']: ['data structures', 'sortings', 'strings'] -2024-01-02 15:24:36.623 | INFO | alpha_codium.gen.coding_competitor:run:48 - Running code contests competitor, model gpt-3.5-turbo-16k -2024-01-02 15:24:36.623 | INFO | alpha_codium.gen.stages.run_self_reflect:run_self_reflect:18 - --reflection stage-- -2024-01-02 15:24:36.626 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:24:36.627 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:24:36.627 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -The self-reflection must cover every aspect of the problem. Pay attention to small details and nuances in the problem description. -2024-01-02 15:24:36.627 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: - -problem name: '1575_A. Another Sorting Problem' - - -problem description: -===== -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -===== - - -Given the code contest problem, you have two tasks: -1) Reflect on the problem, and describe it in your own words, in bullet points. Pay attention to small details, nuances, notes and examples in the problem description. -2) Explain how each provided example input leads to the corresponding output (in total 1 examples are provided). -Read carefully the problem description, and focus on the notes. Make sure the test explanations are consistent with them, and between themselves. -The explanation must coherently and logically lead from the input to the output, with the actual flow. Be as specific as possible. - -The output must be a YAML object equivalent to type $ProblemReflection, according to the following Pydantic definitions: -===== -Class InputOutput(BaseModel): - input: str - output: str - explanation: str = Field(description="Explaining how the test input leads to the test output.") - - -class ProblemReflection(BaseModel): - self_reflection: str = Field(description="Describe the problem in your own words, in bullet points. Address the problem goals, inputs, outputs, rules, constraints, and other relevant details. Try to make this section short, yet self-contained, meaning you should be able to fully understand and solve the problem from this section alone.") - tests_explanations: list[InputOutput] = Field(max_items=1, description="List of explanations for each test case") -===== - -Example YAML output: -```yaml -self_reflection: -- | - ... -- | - ... -tests_explanations: -- input: | - ... - output: | - .. - explanation: | - ... -... - ``` - - -Answer: -```yaml -2024-01-02 15:24:40.404 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -self_reflection: -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. - -tests_explanations: -- input: | - 5 2 - AA - AB - BB - BA - AZ - output: | - 5 2 1 3 4 - explanation: | - In this example, we have 5 book titles with 2 characters each. - The first character of each title is compared in ascending order, while the second character is compared in descending order. - The sorted order is as follows: - - "AZ" is the first title because 'A' comes before 'B' in the first position. - - "AB" is the second title because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - "AA" is the third title because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - - "BB" is the fourth title because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - "BA" is the fifth title because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - Therefore, the output is "5 2 1 3 4". -2024-01-02 15:24:40.405 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:24:40.405 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:24:40.409 | INFO | alpha_codium.gen.stages.run_fix_self_reflect:run_validate_self_reflect:16 - --validate reflection stage-- -2024-01-02 15:24:40.415 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:24:40.415 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:24:40.415 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: - -2024-01-02 15:24:40.415 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and ai-generated explanations of how each input example leads to the corresponding output: - - -problem description: -============ -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -============ - - -tests explanations: -============ -- input: | - 5 2 - AA - AB - BB - BA - AZ - output: | - 5 2 1 3 4 - explanation: | - In this example, we have 5 book titles with 2 characters each. - The first character of each title is compared in ascending order, while the second character is compared in descending order. - The sorted order is as follows: - - "AZ" is the first title because 'A' comes before 'B' in the first position. - - "AB" is the second title because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - "AA" is the third title because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - - "BB" is the fourth title because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - "BA" is the fifth title because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - Therefore, the output is "5 2 1 3 4". -============ - - -Your goal is to consider each test explanation, and make sure it is correct and complete. Be critical - the provided explanations may be wrong or incomplete. -Read carefully the problem description. Make sure the test explanations are consistent with them, and between themselves. -The explanations must coherently and logically lead from the input to the output, with the actual flow. Be specific as possible, and describe in detail how the input leads to the output. -Pay attention to the problem constraints, and small details. - - -The output must be a YAML object equivalent to type $InputOutputExplanation, according to the following Pydantic definitions: -===== -Class InputOutput(BaseModel): - input: str - output: str - explanation: str = Field(description="Explanation of how the input leads to the output.") - - -class $InputOutputExplanation(BaseModel): - fixed_tests_explanations: list[InputOutput] = Field(max_items = 1) -===== - - -Example YAML output: -```yaml -fixed_tests_explanations: -- input: | - ... - output: | - .. - explanation: | - ... -... -``` - -Answer: -```yaml -2024-01-02 15:24:44.796 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -fixed_tests_explanations: -- input: | - 5 2 - AA - AB - BB - BA - AZ - output: | - 5 2 1 3 4 - explanation: | - In this example, we have 5 book titles with 2 characters each. - The first character of each title is compared in ascending order, while the second character is compared in descending order. - - Let's go through the sorting process step by step: - - 1. Initially, the titles are in the following order: "AA", "AB", "BB", "BA", "AZ". - - 2. Comparing the first character of each title in ascending order, we find that "AZ" is the smallest title because 'A' comes before 'B' in the first position. - - 3. Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - 4. Continuing this process, we find that the next smallest title is "AA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - - 5. The next smallest title is "BB" because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - 6. Finally, the last title is "BA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - - Therefore, the output is "5 2 1 3 4". -2024-01-02 15:24:44.797 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:24:44.797 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:24:44.799 | INFO | alpha_codium.gen.stages.run_generate_possible_solutions:run_generate_possible_solutions:17 - --generate possible solutions stage-- -2024-01-02 15:24:44.807 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:24:44.807 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:24:44.807 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -Pay attention to small details and nuances in the problem description. -2024-01-02 15:24:44.807 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem: - -problem description: -===== -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -===== - - -self-reflection on the problem: -============ -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -============ - - -Here are also explanations for the problem test cases: -============ -- input: | - 5 2 - AA - AB - BB - BA - AZ - output: | - 5 2 1 3 4 - explanation: | - In this example, we have 5 book titles with 2 characters each. - The first character of each title is compared in ascending order, while the second character is compared in descending order. - - Let's go through the sorting process step by step: - - 1. Initially, the titles are in the following order: "AA", "AB", "BB", "BA", "AZ". - - 2. Comparing the first character of each title in ascending order, we find that "AZ" is the smallest title because 'A' comes before 'B' in the first position. - - 3. Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - 4. Continuing this process, we find that the next smallest title is "AA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - - 5. The next smallest title is "BB" because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - 6. Finally, the last title is "BA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - - Therefore, the output is "5 2 1 3 4". -============ - - -Your goal is to come up with possible solutions to the code contest problem. - -Guidelines: -- Make sure each solution fully addresses the problem goals, constraints, examples, and notes. -- Each solution must have reasonable runtime and memory complexity - less than three seconds on a modern computer, given the problem constraints for large inputs. -- Double-check the solutions. Each possible solution must be able to generalize to additional test cases, not just the ones provided in the problem description. - -The output must be a YAML object equivalent to type $ProblemSolutions, according to the following Pydantic definitions: -====== -class Solution(BaseModel): - name: str = Field(description="The name of the solution") - content: str = Field(description="A description of the solution") - why_it_works: str = Field(description="Shortly explain why this solution correctly solves the problem. Be specific and detailed regarding the problem rules and goals.") - labels: List[str] = Field(description="A list of labels for the solution. For example (partial list): binary search, dynamic programming, trees, combinatorics, dfs, bfs, graphs, greedy, math, data structures, geometry, number theory, two pointers, simulation, direct approach, probabilities, ...") - complexity: str = Field(description="The complexity of the solution") - - -class $ProblemSolutions(BaseModel): - possible_solutions: List[Solution] = Field(max_items=3, description="A list of possible solutions to the problem. Make sure each solution fully addresses the problem rules and goals.") -====== - - -Example YAML output: -```yaml -possible_solutions: -- name: | - ... - content: | - ... - why_it_works: | - ... - labels: - - ... - - ... - complexity: | - ... - ``` - -Answer: -```yaml -2024-01-02 15:24:53.997 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -possible_solutions: -- name: Sorting and Comparing - content: | - One possible solution is to implement a custom sorting algorithm that compares the strings based on the specified order. Here's how the solution works: - - 1. Read the input values for n and m. - - 2. Read the n book titles and store them in a list. - - 3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order. - - 4. Sort the list of book titles using the custom comparison function. - - 5. Output the indices of the sorted book titles. - - why_it_works: | - This solution correctly solves the problem by implementing a custom sorting algorithm that compares the strings based on the specified order. The custom comparison function ensures that the odd-indexed characters are compared in ascending order and the even-indexed characters are compared in descending order. By sorting the list of book titles using this custom comparison function, we can obtain the desired sorting order. - - labels: - - sorting - - custom comparison - complexity: | - The time complexity of this solution is O(n * m * log(n)), where n is the number of book titles and m is the length of each title. This is because the sorting algorithm takes O(n * m * log(n)) time to sort the list of book titles. The space complexity is O(n * m) to store the list of book titles. - -- name: Index Mapping - content: | - Another possible solution is to use an index mapping approach. Here's how the solution works: - - 1. Read the input values for n and m. - - 2. Read the n book titles and store them in a list. - - 3. Create a list of indices from 1 to n. - - 4. Define a custom comparison function that compares two indices based on the specified order. The function should compare the odd-indexed characters of the corresponding book titles in ascending order and the even-indexed characters in descending order. - - 5. Sort the list of indices using the custom comparison function. - - 6. Output the sorted list of indices. - - why_it_works: | - This solution correctly solves the problem by using an index mapping approach. Instead of directly sorting the book titles, we sort a list of indices based on the specified order. The custom comparison function ensures that the odd-indexed characters of the corresponding book titles are compared in ascending order and the even-indexed characters are compared in descending order. By sorting the list of indices using this custom comparison function, we can obtain the desired sorting order. - - labels: - - sorting - - index mapping - complexity: | - The time complexity of this solution is O(n * m * log(n)), where n is the number of book titles and m is the length of each title. This is because the sorting algorithm takes O(n * m * log(n)) time to sort the list of indices. The space complexity is O(n) to store the list of indices. - -- name: Radix Sort - content: | - Another possible solution is to use a radix sort algorithm. Here's how the solution works: - - 1. Read the input values for n and m. - - 2. Read the n book titles and store them in a list. - - 3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order. - - 4. Perform a radix sort on the list of book titles using the custom comparison function as the key. - - 5. Output the indices of the sorted book titles. - - why_it_works: | - This solution correctly solves the problem by using a radix sort algorithm with a custom comparison function. The radix sort algorithm is able to sort the book titles based on the specified order by comparing the odd-indexed characters in ascending order and the even-indexed characters in descending order. By performing a radix sort on the list of book titles using this custom comparison function as the key, we can obtain the desired sorting order. - - labels: - - sorting - - radix sort - complexity: | - The time complexity of this solution is O(n * m), where n is the number of book titles and m is the length of each title. This is because the radix sort algorithm takes O(n * m) time to sort the list of book titles. The space complexity is O(n * m) to store the list of book titles. -2024-01-02 15:24:53.997 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:24:53.997 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:24:54.004 | INFO | alpha_codium.gen.stages.run_choose_best_solution:run_choose_best_solution:16 - --choose best solution stage-- -2024-01-02 15:24:54.010 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:24:54.010 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:24:54.011 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: - -2024-01-02 15:24:54.011 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem: - - -problem description: -======= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -======= - - -self-reflection on the problem: -======= -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -======= - - -Here is a list of 3 possible solutions to the problem: -======= -- name: Sorting and Comparing - content: | - One possible solution is to implement a custom sorting algorithm that compares the strings based on the specified order. Here's how the solution works: - - 1. Read the input values for n and m. - - 2. Read the n book titles and store them in a list. - - 3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order. - - 4. Sort the list of book titles using the custom comparison function. - - 5. Output the indices of the sorted book titles. - - why_it_works: | - This solution correctly solves the problem by implementing a custom sorting algorithm that compares the strings based on the specified order. The custom comparison function ensures that the odd-indexed characters are compared in ascending order and the even-indexed characters are compared in descending order. By sorting the list of book titles using this custom comparison function, we can obtain the desired sorting order. - - labels: - - sorting - - custom comparison - complexity: | - The time complexity of this solution is O(n * m * log(n)), where n is the number of book titles and m is the length of each title. This is because the sorting algorithm takes O(n * m * log(n)) time to sort the list of book titles. The space complexity is O(n * m) to store the list of book titles. - -- name: Index Mapping - content: | - Another possible solution is to use an index mapping approach. Here's how the solution works: - - 1. Read the input values for n and m. - - 2. Read the n book titles and store them in a list. - - 3. Create a list of indices from 1 to n. - - 4. Define a custom comparison function that compares two indices based on the specified order. The function should compare the odd-indexed characters of the corresponding book titles in ascending order and the even-indexed characters in descending order. - - 5. Sort the list of indices using the custom comparison function. - - 6. Output the sorted list of indices. - - why_it_works: | - This solution correctly solves the problem by using an index mapping approach. Instead of directly sorting the book titles, we sort a list of indices based on the specified order. The custom comparison function ensures that the odd-indexed characters of the corresponding book titles are compared in ascending order and the even-indexed characters are compared in descending order. By sorting the list of indices using this custom comparison function, we can obtain the desired sorting order. - - labels: - - sorting - - index mapping - complexity: | - The time complexity of this solution is O(n * m * log(n)), where n is the number of book titles and m is the length of each title. This is because the sorting algorithm takes O(n * m * log(n)) time to sort the list of indices. The space complexity is O(n) to store the list of indices. - -- name: Radix Sort - content: | - Another possible solution is to use a radix sort algorithm. Here's how the solution works: - - 1. Read the input values for n and m. - - 2. Read the n book titles and store them in a list. - - 3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order. - - 4. Perform a radix sort on the list of book titles using the custom comparison function as the key. - - 5. Output the indices of the sorted book titles. - - why_it_works: | - This solution correctly solves the problem by using a radix sort algorithm with a custom comparison function. The radix sort algorithm is able to sort the book titles based on the specified order by comparing the odd-indexed characters in ascending order and the even-indexed characters in descending order. By performing a radix sort on the list of book titles using this custom comparison function as the key, we can obtain the desired sorting order. - - labels: - - sorting - - radix sort - complexity: | - The time complexity of this solution is O(n * m), where n is the number of book titles and m is the length of each title. This is because the radix sort algorithm takes O(n * m) time to sort the list of book titles. The space complexity is O(n * m) to store the list of book titles. -======= - - -Using the inputs above, your goal is to choose the best solution to the code contest problem. -Don't just pick the most efficient solution. The main consideration is that the solution can fully solve the problem in a simple and robust manner. -Make sure the chosen solution has a reasonable runtime - less than three seconds on a modern computer, given the problem constraints regarding large inputs. - -The output must be a YAML object equivalent to type $ProblemSolution, according to the following Pydantic definitions: -======= -class Test(BaseModel): - input: str - output: str - -class ProblemSolution(BaseModel): - name: str = Field(description="The name of the best solution") - content: str = Field(description="The content of the best solution") - why: str = Field(description="Shortly explain why is this the best solution") - flow: List[str] = Field(description="Describe of the flow of the solution, in bullet points") - problem_tests: List[Test] = Field("List the input-output examples that are provided in the problem description.") - input_output_examples_flow: List[str] = Field(description="Describe, in bullet points, how the proposed flow will lead to getting the expected output for the provided input examples") -======= - - -Example YAML output: -```yaml -name: | - ... -content: | - ... -why: | - ... -flow: -- | - ... -- | - ... -... -problem_tests: -- input: | - ... - output: | - ... -input_output_examples_flow: -- | - ... -- | - ... -``` - -Each YAML output MUST be after a newline, indented, with block scalar indicator ('|'). - -Answer: -```yaml -2024-01-02 15:24:58.159 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -name: Sorting and Comparing -content: | - One possible solution is to implement a custom sorting algorithm that compares the strings based on the specified order. Here's how the solution works: - - 1. Read the input values for n and m. - - 2. Read the n book titles and store them in a list. - - 3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order. - - 4. Sort the list of book titles using the custom comparison function. - - 5. Output the indices of the sorted book titles. - -why: | - This solution correctly solves the problem by implementing a custom sorting algorithm that compares the strings based on the specified order. The custom comparison function ensures that the odd-indexed characters are compared in ascending order and the even-indexed characters are compared in descending order. By sorting the list of book titles using this custom comparison function, we can obtain the desired sorting order. - -flow: -- Read the input values for n and m. -- Read the n book titles and store them in a list. -- Define a custom comparison function that compares two strings based on the specified order. -- Sort the list of book titles using the custom comparison function. -- Output the indices of the sorted book titles. - -problem_tests: -- input: | - 5 2 - AA - AB - BB - BA - AZ - output: | - 5 2 1 3 4 - -input_output_examples_flow: -- Read the input values for n and m. -- Read the n book titles and store them in a list. -- Define a custom comparison function that compares two strings based on the specified order. -- Sort the list of book titles using the custom comparison function. -- Output the indices of the sorted book titles. -2024-01-02 15:24:58.159 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:24:58.159 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:24:58.164 | INFO | alpha_codium.gen.stages.run_generate_ai_test:run_generate_ai_tests:16 - --generate ai tests stage-- -2024-01-02 15:24:58.172 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:24:58.172 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:24:58.172 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: - -2024-01-02 15:24:58.172 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem and a self-reflection on the problem: - - -problem description: -====== -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -====== - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -Here are also explanations for the problem test cases: -============ -- input: | - 5 2 - AA - AB - BB - BA - AZ - output: | - 5 2 1 3 4 - explanation: | - In this example, we have 5 book titles with 2 characters each. - The first character of each title is compared in ascending order, while the second character is compared in descending order. - - Let's go through the sorting process step by step: - - 1. Initially, the titles are in the following order: "AA", "AB", "BB", "BA", "AZ". - - 2. Comparing the first character of each title in ascending order, we find that "AZ" is the smallest title because 'A' comes before 'B' in the first position. - - 3. Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - 4. Continuing this process, we find that the next smallest title is "AA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - - 5. The next smallest title is "BB" because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. - - 6. Finally, the last title is "BA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - - Therefore, the output is "5 2 1 3 4". -============ - - -Your task is to generate additional 8 diverse input-output examples for the code contest problem. -Try to cover cases that are not covered by the original tests. Also include a test for large inputs. -The generated tests should be sorted by difficulty, from easiest to hardest. -All the inputs should be valid, and the outputs are correct. Double check them, and validate they match the problem description ans rules. - -The output must be a valid YAML object equivalent to type $ProblemTests, according to the following Pydantic definitions: -====== -class Test(BaseModel): - input: str - output: str - explanation: str = Field(description='Short explanation how we got the output from the input. Be specific') - -class ProblemTests(BaseModel): - tests: List[Test] = Field(min_items=8, max_items=8) -====== - - -Example YAML output: -```yaml -tests: -- input: | - ... - output: | - ... - explanation: | - ... -... -``` - -Each YAML output MUST be after a newline, indented, with block scalar indicator ('|'). - -Answer: -```yaml -2024-01-02 15:25:36.709 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -tests: -- input: | - 1 1 - A - output: | - 1 - explanation: | - In this example, we have only one book title with one character. Since there is only one title, the output is the index of that title, which is 1. -- input: | - 2 1 - A - B - output: | - 1 2 - explanation: | - In this example, we have two book titles with one character each. The first character of each title is compared in ascending order. Since 'A' comes before 'B', the output is "1 2". -- input: | - 2 2 - AA - AB - output: | - 1 2 - explanation: | - In this example, we have two book titles with two characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output is "1 2". -- input: | - 3 2 - AA - AB - BA - output: | - 3 2 1 - explanation: | - In this example, we have three book titles with two characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "BA". Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. Finally, the last title is "AA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. -- input: | - 4 2 - AA - AB - BA - BB - output: | - 3 2 4 1 - explanation: | - In this example, we have four book titles with two characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "BA". Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. The next smallest title is "BB" because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. Finally, the last title is "AA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. -- input: | - 5 2 - AA - AB - BA - BB - BC - output: | - 3 2 4 5 1 - explanation: | - In this example, we have five book titles with two characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "BA". Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. The next smallest title is "BB" because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. The next smallest title is "BC" because 'A' comes before 'B' in the first position, and 'B' comes before 'C' in the second position. Finally, the last title is "AA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. -- input: | - 3 3 - ABC - BCA - CAB - output: | - 3 2 1 - explanation: | - In this example, we have three book titles with three characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "CAB". Next, we compare the second character of each title in descending order. Among the remaining titles, "BCA" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'C' in the second position. Finally, the last title is "ABC" because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, and 'C' comes before 'A' in the third position. -- input: | - 5 5 - ABCDE - BCDEA - CDEAB - DEABC - EABCD - output: | - 5 4 3 2 1 - explanation: | - In this example, we have five book titles with five characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "EABCD". Next, we compare the second character of each title in descending order. Among the remaining titles, "DEABC" is the smallest because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, 'C' comes before 'D' in the third position, 'D' comes before 'E' in the fourth position, and 'E' comes before 'A' in the fifth position. Continuing this process, we find that the next smallest title is "CDEAB" because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, 'C' comes before 'D' in the third position, 'D' comes before 'E' in the fourth position, and 'E' comes before 'A' in the fifth position. The next smallest title is "BCDEA" because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, 'C' comes before 'D' in the third position, 'D' comes before 'E' in the fourth position, and 'E' comes before 'A' in the fifth position. Finally, the last title is "ABCDE" because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, 'C' comes before 'D' in the third position, 'D' comes before 'E' in the fourth position, and 'E' comes before 'A' in the fifth position. -- input: | - 1000 1000 - AAAAAAAAAA... - BBBBBBBBBB... - CCCCCCCCCC... - ... - ZZZZZZZZZZ... - output: | - 1000 999 998 997 996 995 994 993 992 991 990 989 988 987 986 985 984 983 982 981 980 979 978 977 976 975 974 973 972 971 970 969 968 967 966 965 964 963 962 961 960 959 958 957 956 955 954 953 952 951 950 949 948 947 946 945 944 943 942 941 940 939 938 937 936 935 934 933 932 931 930 929 928 927 926 925 924 923 922 921 920 919 918 917 916 915 914 913 912 911 910 909 908 907 906 905 904 903 902 901 900 899 898 897 896 895 894 893 892 891 890 889 888 887 886 885 884 883 882 881 880 879 878 877 876 875 874 873 872 871 870 869 868 867 866 865 864 863 862 861 860 859 858 857 856 855 854 853 852 851 850 849 848 847 846 845 844 843 842 841 840 839 838 837 836 835 834 833 832 831 830 829 828 827 826 825 824 823 822 821 820 819 818 817 816 815 814 813 812 811 810 809 808 807 806 805 804 803 802 801 800 799 798 797 796 795 794 793 792 791 790 789 788 787 786 785 784 783 782 781 780 779 778 777 776 775 774 773 772 771 770 769 768 767 766 765 764 763 762 761 760 759 758 757 756 755 754 753 752 751 750 749 748 747 746 745 744 743 742 741 740 739 738 737 736 735 734 733 732 731 730 729 728 727 726 725 724 723 722 721 720 719 718 717 716 715 714 713 712 711 710 709 708 707 706 705 704 703 702 701 700 699 698 697 696 695 694 693 692 691 690 689 688 687 686 685 684 683 682 681 680 679 678 677 676 675 674 673 672 671 670 669 668 667 666 665 664 663 662 661 660 659 658 657 656 655 654 653 652 651 650 649 648 647 646 645 644 643 642 641 640 639 638 637 636 635 634 633 632 631 630 629 628 627 626 625 624 623 622 621 620 619 618 617 616 615 614 613 612 611 610 609 608 607 606 605 604 603 602 601 600 599 598 597 596 595 594 593 592 591 590 589 588 587 586 585 584 583 582 581 580 579 578 577 576 575 574 573 572 571 570 569 568 567 566 565 564 563 562 561 560 559 558 557 556 555 554 553 552 551 550 549 548 547 546 545 544 543 542 541 540 539 538 537 536 535 534 533 532 531 530 529 528 527 526 525 524 523 522 521 520 519 518 517 516 515 514 513 512 511 510 509 508 507 506 505 504 503 502 501 500 499 498 497 496 495 494 493 492 491 490 489 488 487 486 485 484 483 482 481 480 479 478 477 476 475 474 473 472 471 470 469 468 467 466 465 464 463 462 461 460 459 458 457 456 455 454 453 452 451 450 449 448 447 446 445 444 443 442 441 440 439 438 437 436 435 434 433 432 431 430 429 428 427 426 425 424 423 422 421 420 419 418 417 416 415 414 413 412 411 410 409 408 407 406 405 404 403 402 401 400 399 398 397 396 395 394 393 392 391 390 389 388 387 386 385 384 383 382 381 380 379 378 377 376 375 374 373 372 371 370 369 368 367 366 365 364 363 362 361 360 359 358 357 356 355 354 353 352 351 350 349 348 347 346 345 344 343 342 341 340 339 338 337 336 335 334 333 332 331 330 329 328 327 326 325 324 323 322 321 320 319 318 317 316 315 314 313 312 311 310 309 308 307 306 305 304 303 302 301 300 299 298 297 296 295 294 293 292 291 290 289 288 287 286 285 284 283 282 281 280 279 278 277 276 275 274 273 272 271 270 269 268 267 266 265 264 263 262 261 260 259 258 257 256 255 254 253 252 251 250 249 248 247 246 245 244 243 242 241 240 239 238 237 236 235 234 233 232 231 230 229 228 227 226 225 224 223 222 221 220 219 218 217 216 215 214 213 212 211 210 209 208 207 206 205 204 203 202 201 200 199 198 197 196 195 194 193 192 191 190 189 188 187 186 185 184 183 182 181 180 179 178 177 176 175 174 173 172 171 170 169 168 167 166 165 164 163 162 161 160 159 158 157 156 155 154 153 152 151 150 149 148 147 146 145 144 143 142 141 140 139 138 137 136 135 134 133 132 131 130 129 128 127 126 125 124 123 122 121 120 119 118 117 116 115 114 113 112 111 110 109 108 107 106 105 104 103 102 101 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 - explanation: | - In this example, we have 1000 book titles with 1000 characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "ZZZZZZZZZZ...". Next, we compare the second character of each title in descending order. Among the remaining titles, "YYYYYYYYYY..." is the smallest because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, and so on. Continuing this process, we find that the next smallest title is "XXXXXXXXXX..." and so on, until we reach the last title "AAAAAAAAAA...". -2024-01-02 15:25:36.710 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:25:36.710 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:25:36.723 | INFO | alpha_codium.gen.stages.run_validate_ai_test:run_validate_ai_tests:14 - --validate ai tests stage-- -2024-01-02 15:25:36.729 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:25:36.729 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:25:36.729 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -Your goal is to consider each AI-generated test, and make sure its output and its explanation are correct. Be critical - they could be wrong. -guidelines: -- Read carefully the problem description. Make sure the output and the explanations are consistent with them, and between themselves. -- Make sure you understand problem constraints, rules, and examples. -- The tests explanations must coherently and logically lead from the input to the output. -2024-01-02 15:25:36.729 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem and a self-reflection on the problem: - - -problem description: -====== -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -====== - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -Here are additional tests for the problem, generated by an AI: - -AI-generated tests: -============ -[{'input': '1 1\nA\n', 'output': '1\n', 'explanation': 'In this example, we have only one book title with one character. Since there is only one title, the output is the index of that title, which is 1.\n'}, {'input': '2 1\nA\nB\n', 'output': '1 2\n', 'explanation': 'In this example, we have two book titles with one character each. The first character of each title is compared in ascending order. Since \'A\' comes before \'B\', the output is "1 2".\n'}, {'input': '2 2\nAA\nAB\n', 'output': '1 2\n', 'explanation': 'In this example, we have two book titles with two characters each. The first character of each title is compared in ascending order. Since \'A\' comes before \'B\' in the first position, the output is "1 2".\n'}, {'input': '3 2\nAA\nAB\nBA\n', 'output': '3 2 1\n', 'explanation': 'In this example, we have three book titles with two characters each. The first character of each title is compared in ascending order. Since \'A\' comes before \'B\' in the first position, the output starts with the index of the title "BA". Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position. Finally, the last title is "AA" because \'A\' comes before \'B\' in the first position, and \'A\' comes before \'B\' in the second position.\n'}, {'input': '4 2\nAA\nAB\nBA\nBB\n', 'output': '3 2 4 1\n', 'explanation': 'In this example, we have four book titles with two characters each. The first character of each title is compared in ascending order. Since \'A\' comes before \'B\' in the first position, the output starts with the index of the title "BA". Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position. The next smallest title is "BB" because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position. Finally, the last title is "AA" because \'A\' comes before \'B\' in the first position, and \'A\' comes before \'B\' in the second position.\n'}, {'input': '5 2\nAA\nAB\nBA\nBB\nBC\n', 'output': '3 2 4 5 1\n', 'explanation': 'In this example, we have five book titles with two characters each. The first character of each title is compared in ascending order. Since \'A\' comes before \'B\' in the first position, the output starts with the index of the title "BA". Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position. The next smallest title is "BB" because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position. The next smallest title is "BC" because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'C\' in the second position. Finally, the last title is "AA" because \'A\' comes before \'B\' in the first position, and \'A\' comes before \'B\' in the second position.\n'}, {'input': '3 3\nABC\nBCA\nCAB\n', 'output': '3 2 1\n', 'explanation': 'In this example, we have three book titles with three characters each. The first character of each title is compared in ascending order. Since \'A\' comes before \'B\' in the first position, the output starts with the index of the title "CAB". Next, we compare the second character of each title in descending order. Among the remaining titles, "BCA" is the smallest because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'C\' in the second position. Finally, the last title is "ABC" because \'A\' comes before \'B\' in the first position, \'B\' comes before \'C\' in the second position, and \'C\' comes before \'A\' in the third position.\n'}, {'input': '5 5\nABCDE\nBCDEA\nCDEAB\nDEABC\nEABCD\n', 'output': '5 4 3 2 1\n', 'explanation': 'In this example, we have five book titles with five characters each. The first character of each title is compared in ascending order. Since \'A\' comes before \'B\' in the first position, the output starts with the index of the title "EABCD". Next, we compare the second character of each title in descending order. Among the remaining titles, "DEABC" is the smallest because \'A\' comes before \'B\' in the first position, \'B\' comes before \'C\' in the second position, \'C\' comes before \'D\' in the third position, \'D\' comes before \'E\' in the fourth position, and \'E\' comes before \'A\' in the fifth position. Continuing this process, we find that the next smallest title is "CDEAB" because \'A\' comes before \'B\' in the first position, \'B\' comes before \'C\' in the second position, \'C\' comes before \'D\' in the third position, \'D\' comes before \'E\' in the fourth position, and \'E\' comes before \'A\' in the fifth position. The next smallest title is "BCDEA" because \'A\' comes before \'B\' in the first position, \'B\' comes before \'C\' in the second position, \'C\' comes before \'D\' in the third position, \'D\' comes before \'E\' in the fourth position, and \'E\' comes before \'A\' in the fifth position. Finally, the last title is "ABCDE" because \'A\' comes before \'B\' in the first position, \'B\' comes before \'C\' in the second position, \'C\' comes before \'D\' in the third position, \'D\' comes before \'E\' in the fourth position, and \'E\' comes before \'A\' in the fifth position.\n'}, {'input': '1000 1000\nAAAAAAAAAA...\nBBBBBBBBBB...\nCCCCCCCCCC...\n...\nZZZZZZZZZZ...\n', 'output': '1000 999 998 997 996 995 994 993 992 991 990 989 988 987 986 985 984 983 982 981 980 979 978 977 976 975 974 973 972 971 970 969 968 967 966 965 964 963 962 961 960 959 958 957 956 955 954 953 952 951 950 949 948 947 946 945 944 943 942 941 940 939 938 937 936 935 934 933 932 931 930 929 928 927 926 925 924 923 922 921 920 919 918 917 916 915 914 913 912 911 910 909 908 907 906 905 904 903 902 901 900 899 898 897 896 895 894 893 892 891 890 889 888 887 886 885 884 883 882 881 880 879 878 877 876 875 874 873 872 871 870 869 868 867 866 865 864 863 862 861 860 859 858 857 856 855 854 853 852 851 850 849 848 847 846 845 844 843 842 841 840 839 838 837 836 835 834 833 832 831 830 829 828 827 826 825 824 823 822 821 820 819 818 817 816 815 814 813 812 811 810 809 808 807 806 805 804 803 802 801 800 799 798 797 796 795 794 793 792 791 790 789 788 787 786 785 784 783 782 781 780 779 778 777 776 775 774 773 772 771 770 769 768 767 766 765 764 763 762 761 760 759 758 757 756 755 754 753 752 751 750 749 748 747 746 745 744 743 742 741 740 739 738 737 736 735 734 733 732 731 730 729 728 727 726 725 724 723 722 721 720 719 718 717 716 715 714 713 712 711 710 709 708 707 706 705 704 703 702 701 700 699 698 697 696 695 694 693 692 691 690 689 688 687 686 685 684 683 682 681 680 679 678 677 676 675 674 673 672 671 670 669 668 667 666 665 664 663 662 661 660 659 658 657 656 655 654 653 652 651 650 649 648 647 646 645 644 643 642 641 640 639 638 637 636 635 634 633 632 631 630 629 628 627 626 625 624 623 622 621 620 619 618 617 616 615 614 613 612 611 610 609 608 607 606 605 604 603 602 601 600 599 598 597 596 595 594 593 592 591 590 589 588 587 586 585 584 583 582 581 580 579 578 577 576 575 574 573 572 571 570 569 568 567 566 565 564 563 562 561 560 559 558 557 556 555 554 553 552 551 550 549 548 547 546 545 544 543 542 541 540 539 538 537 536 535 534 533 532 531 530 529 528 527 526 525 524 523 522 521 520 519 518 517 516 515 514 513 512 511 510 509 508 507 506 505 504 503 502 501 500 499 498 497 496 495 494 493 492 491 490 489 488 487 486 485 484 483 482 481 480 479 478 477 476 475 474 473 472 471 470 469 468 467 466 465 464 463 462 461 460 459 458 457 456 455 454 453 452 451 450 449 448 447 446 445 444 443 442 441 440 439 438 437 436 435 434 433 432 431 430 429 428 427 426 425 424 423 422 421 420 419 418 417 416 415 414 413 412 411 410 409 408 407 406 405 404 403 402 401 400 399 398 397 396 395 394 393 392 391 390 389 388 387 386 385 384 383 382 381 380 379 378 377 376 375 374 373 372 371 370 369 368 367 366 365 364 363 362 361 360 359 358 357 356 355 354 353 352 351 350 349 348 347 346 345 344 343 342 341 340 339 338 337 336 335 334 333 332 331 330 329 328 327 326 325 324 323 322 321 320 319 318 317 316 315 314 313 312 311 310 309 308 307 306 305 304 303 302 301 300 299 298 297 296 295 294 293 292 291 290 289 288 287 286 285 284 283 282 281 280 279 278 277 276 275 274 273 272 271 270 269 268 267 266 265 264 263 262 261 260 259 258 257 256 255 254 253 252 251 250 249 248 247 246 245 244 243 242 241 240 239 238 237 236 235 234 233 232 231 230 229 228 227 226 225 224 223 222 221 220 219 218 217 216 215 214 213 212 211 210 209 208 207 206 205 204 203 202 201 200 199 198 197 196 195 194 193 192 191 190 189 188 187 186 185 184 183 182 181 180 179 178 177 176 175 174 173 172 171 170 169 168 167 166 165 164 163 162 161 160 159 158 157 156 155 154 153 152 151 150 149 148 147 146 145 144 143 142 141 140 139 138 137 136 135 134 133 132 131 130 129 128 127 126 125 124 123 122 121 120 119 118 117 116 115 114 113 112 111 110 109 108 107 106 105 104 103 102 101 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1\n', 'explanation': 'In this example, we have 1000 book titles with 1000 characters each. The first character of each title is compared in ascending order. Since \'A\' comes before \'B\' in the first position, the output starts with the index of the title "ZZZZZZZZZZ...". Next, we compare the second character of each title in descending order. Among the remaining titles, "YYYYYYYYYY..." is the smallest because \'A\' comes before \'B\' in the first position, \'B\' comes before \'C\' in the second position, and so on. Continuing this process, we find that the next smallest title is "XXXXXXXXXX..." and so on, until we reach the last title "AAAAAAAAAA...".'}] -============ - - -Your goal is to consider each AI-generated test, and make sure the output and the explanation are correct. Be critical - they could be wrong. - -Guidelines: -- Read the problem description carefully. Make sure the output and the explanations are consistent with them, and between themselves. -- The test explanations must coherently and logically lead from the input to the output. - -The output must be a YAML object equivalent to type $ProblemTests, according to the following Pydantic definitions: -===== -Class Test(BaseModel): - input: str - output: str - explanation: str = Field(description="Explanation of how the input leads to the output.") - what_was_wrong: Optional[str] = Field(description="Describe shortly what was wrong with the previous output or the explanation, and how you fixed it. Leave empty if nothing was wrong.") - -class ProblemTests(BaseModel): - tests: List[Test] = Field(min_items=8, max_items=8) -===== - - -Example YAML output: -```yaml -tests: -- input: | - ... - output: | - ... - explanation: | - ... - what_was_wrong: | - ... -... -``` - -Each YAML output MUST be after a newline, indented, with block scalar indicator ('|'). - -Answer: -```yaml -2024-01-02 15:25:56.293 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -tests: -- input: | - 1 1 - A - output: '1' - explanation: | - In this example, we have only one book title with one character. Since there is only one title, the output is the index of that title, which is 1. - what_was_wrong: '' -- input: | - 2 1 - A - B - output: '1 2' - explanation: | - In this example, we have two book titles with one character each. The first character of each title is compared in ascending order. Since 'A' comes before 'B', the output is "1 2". - what_was_wrong: '' -- input: | - 2 2 - AA - AB - output: '1 2' - explanation: | - In this example, we have two book titles with two characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output is "1 2". - what_was_wrong: '' -- input: | - 3 2 - AA - AB - BA - output: '3 2 1' - explanation: | - In this example, we have three book titles with two characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "BA". Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. Finally, the last title is "AA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - what_was_wrong: '' -- input: | - 4 2 - AA - AB - BA - BB - output: '3 2 4 1' - explanation: | - In this example, we have four book titles with two characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "BA". Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. The next smallest title is "BB" because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. Finally, the last title is "AA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - what_was_wrong: '' -- input: | - 5 2 - AA - AB - BA - BB - BC - output: '3 2 4 5 1' - explanation: | - In this example, we have five book titles with two characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "BA". Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. The next smallest title is "BB" because 'A' comes before 'B' in the first position, and 'B' comes before 'A' in the second position. The next smallest title is "BC" because 'A' comes before 'B' in the first position, and 'B' comes before 'C' in the second position. Finally, the last title is "AA" because 'A' comes before 'B' in the first position, and 'A' comes before 'B' in the second position. - what_was_wrong: '' -- input: | - 3 3 - ABC - BCA - CAB - output: '3 2 1' - explanation: | - In this example, we have three book titles with three characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "CAB". Next, we compare the second character of each title in descending order. Among the remaining titles, "BCA" is the smallest because 'A' comes before 'B' in the first position, and 'B' comes before 'C' in the second position. Finally, the last title is "ABC" because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, and 'C' comes before 'A' in the third position. - what_was_wrong: '' -- input: | - 5 5 - ABCDE - BCDEA - CDEAB - DEABC - EABCD - output: '5 4 3 2 1' - explanation: | - In this example, we have five book titles with five characters each. The first character of each title is compared in ascending order. Since 'A' comes before 'B' in the first position, the output starts with the index of the title "EABCD". Next, we compare the second character of each title in descending order. Among the remaining titles, "DEABC" is the smallest because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, 'C' comes before 'D' in the third position, 'D' comes before 'E' in the fourth position, and 'E' comes before 'A' in the fifth position. Continuing this process, we find that the next smallest title is "CDEAB" because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, 'C' comes before 'D' in the third position, 'D' comes before 'E' in the fourth position, and 'E' comes before 'A' in the fifth position. The next smallest title is "BCDEA" because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, 'C' comes before 'D' in the third position, 'D' comes before 'E' in the fourth position, and 'E' comes before 'A' in the fifth position. Finally, the last title is "ABCDE" because 'A' comes before 'B' in the first position, 'B' comes before 'C' in the second position, 'C' comes before 'D' in the third position, 'D' comes before 'E' in the fourth position, and 'E' comes before 'A' in the fifth position. - what_was_wrong: '' -2024-01-02 15:25:56.293 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:25:56.294 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:25:56.304 | INFO | alpha_codium.gen.stages.run_initial_code_generation:run_initial_code_generation:16 - --run initial code generation stage-- -2024-01-02 15:25:56.304 | INFO | alpha_codium.gen.stages.run_initial_solve:run_initial_solve:15 - --initial solve stage-- -2024-01-02 15:25:56.310 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:25:56.310 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:25:56.310 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -2024-01-02 15:25:56.310 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem. - - -problem description: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -============= - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -Your goal is to generate a valid Python code that correctly solves the code contest problem, using the following algorithm: -============= -name: Sorting and Comparing -content: | - One possible solution is to implement a custom sorting algorithm that compares the strings based on the specified order. Here's how the solution works: - - 1. Read the input values for n and m. - - 2. Read the n book titles and store them in a list. - - 3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order. - - 4. Sort the list of book titles using the custom comparison function. - - 5. Output the indices of the sorted book titles. - -why: | - This solution correctly solves the problem by implementing a custom sorting algorithm that compares the strings based on the specified order. The custom comparison function ensures that the odd-indexed characters are compared in ascending order and the even-indexed characters are compared in descending order. By sorting the list of book titles using this custom comparison function, we can obtain the desired sorting order. - -flow: -- Read the input values for n and m. -- Read the n book titles and store them in a list. -- Define a custom comparison function that compares two strings based on the specified order. -- Sort the list of book titles using the custom comparison function. -- Output the indices of the sorted book titles. - -problem_tests: -- input: | - 5 2 - AA - AB - BB - BA - AZ - output: | - 5 2 1 3 4 - -input_output_examples_flow: -- Read the input values for n and m. -- Read the n book titles and store them in a list. -- Define a custom comparison function that compares two strings based on the specified order. -- Sort the list of book titles using the custom comparison function. -- Output the indices of the sorted book titles. -============= - - - -Guidelines: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Variables names should also be meaningful. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -- Make sure to include all the necessary module imports, properly initialize the variables, and address the problem constraints. -- The code needs to be self-contained, and executable as-is. - - - -The code output must follow this structure: -``` -def f1(...): - ... - return ... - -def f2(...): - ... - return ... -... - -if __name__ == "__main__": - ... -``` -The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. -The output should be printed without additional words using the 'print()' method. - - -Answer: -```python -2024-01-02 15:25:58.650 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:25:58.651 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:25:58.651 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:26:03.258 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:26:03.258 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:26:03.258 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:26:03.258 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:26:03.258 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:26:03.258 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:26:03.259 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 30, in - File "", line 25, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:26:03.259 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:26:03.259 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:26:03.259 | INFO | alpha_codium.gen.stages.run_initial_solve:run_initial_solve:15 - --initial solve stage-- -2024-01-02 15:26:03.262 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:26:03.262 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:26:03.262 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -2024-01-02 15:26:03.262 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem. - - -problem description: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -============= - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -Your goal is to generate a valid Python code that correctly solves the code contest problem, using the following algorithm: -============= -name: Sorting and Comparing -content: | - One possible solution is to implement a custom sorting algorithm that compares the strings based on the specified order. Here's how the solution works: - - 1. Read the input values for n and m. - - 2. Read the n book titles and store them in a list. - - 3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order. - - 4. Sort the list of book titles using the custom comparison function. - - 5. Output the indices of the sorted book titles. - -why: | - This solution correctly solves the problem by implementing a custom sorting algorithm that compares the strings based on the specified order. The custom comparison function ensures that the odd-indexed characters are compared in ascending order and the even-indexed characters are compared in descending order. By sorting the list of book titles using this custom comparison function, we can obtain the desired sorting order. - -flow: -- Read the input values for n and m. -- Read the n book titles and store them in a list. -- Define a custom comparison function that compares two strings based on the specified order. -- Sort the list of book titles using the custom comparison function. -- Output the indices of the sorted book titles. - -problem_tests: -- input: | - 5 2 - AA - AB - BB - BA - AZ - output: | - 5 2 1 3 4 - -input_output_examples_flow: -- Read the input values for n and m. -- Read the n book titles and store them in a list. -- Define a custom comparison function that compares two strings based on the specified order. -- Sort the list of book titles using the custom comparison function. -- Output the indices of the sorted book titles. -============= - - - -Guidelines: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Variables names should also be meaningful. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -- Make sure to include all the necessary module imports, properly initialize the variables, and address the problem constraints. -- The code needs to be self-contained, and executable as-is. - - - -The code output must follow this structure: -``` -def f1(...): - ... - return ... - -def f2(...): - ... - return ... -... - -if __name__ == "__main__": - ... -``` -The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. -The output should be printed without additional words using the 'print()' method. - - -Answer: -```python -2024-01-02 15:26:06.619 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - books.append(input()) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - else: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = sorted(range(n), key=lambda x: books[x], cmp=custom_comparison) - return indices - -def print_output(indices): - print(' '.join(map(str, indices))) - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print_output(indices) -2024-01-02 15:26:06.620 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:26:06.620 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:26:11.195 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:26:11.195 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:26:11.195 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:26:11.195 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:26:11.196 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:26:11.196 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:26:11.196 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 31, in - File "", line 23, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:26:11.196 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:26:11.196 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:26:11.196 | INFO | alpha_codium.gen.stages.run_initial_solve:run_initial_solve:15 - --initial solve stage-- -2024-01-02 15:26:11.199 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:26:11.199 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:26:11.200 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -2024-01-02 15:26:11.200 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem. - - -problem description: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -============= - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -Your goal is to generate a valid Python code that correctly solves the code contest problem, using the following algorithm: -============= -{'name': 'Radix Sort', 'content': "Another possible solution is to use a radix sort algorithm. Here's how the solution works:\n\n1. Read the input values for n and m.\n\n2. Read the n book titles and store them in a list.\n\n3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order.\n\n4. Perform a radix sort on the list of book titles using the custom comparison function as the key.\n\n5. Output the indices of the sorted book titles.\n", 'why_it_works': 'This solution correctly solves the problem by using a radix sort algorithm with a custom comparison function. The radix sort algorithm is able to sort the book titles based on the specified order by comparing the odd-indexed characters in ascending order and the even-indexed characters in descending order. By performing a radix sort on the list of book titles using this custom comparison function as the key, we can obtain the desired sorting order.\n', 'labels': ['sorting', 'radix sort'], 'complexity': 'The time complexity of this solution is O(n * m), where n is the number of book titles and m is the length of each title. This is because the radix sort algorithm takes O(n * m) time to sort the list of book titles. The space complexity is O(n * m) to store the list of book titles.'} -============= - - - -Guidelines: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Variables names should also be meaningful. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -- Make sure to include all the necessary module imports, properly initialize the variables, and address the problem constraints. -- The code needs to be self-contained, and executable as-is. - - - -The code output must follow this structure: -``` -def f1(...): - ... - return ... - -def f2(...): - ... - return ... -... - -if __name__ == "__main__": - ... -``` -The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. -The output should be printed without additional words using the 'print()' method. - - -Answer: -```python -2024-01-02 15:26:13.950 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - books.append(input()) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def radix_sort(n, m, books): - max_length = max(len(book) for book in books) - for i in range(max_length - 1, -1, -1): - books.sort(key=lambda x: x[i] if i < len(x) else '', reverse=i % 2 == 1) - return [i+1 for i in sorted(range(n), key=lambda x: books[x], cmp=custom_comparison)] - -if __name__ == "__main__": - n, m, books = read_input() - result = radix_sort(n, m, books) - print(*result) -2024-01-02 15:26:13.950 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:26:13.951 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:26:18.442 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:26:18.442 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:26:18.442 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:26:18.442 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:26:18.442 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:26:18.442 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:26:18.443 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 30, in - File "", line 26, in radix_sort -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:26:18.443 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:26:18.443 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:26:18.443 | INFO | alpha_codium.gen.stages.run_initial_solve:run_initial_solve:15 - --initial solve stage-- -2024-01-02 15:26:18.446 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:26:18.446 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:26:18.446 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -2024-01-02 15:26:18.446 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem. - - -problem description: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -============= - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -Your goal is to generate a valid Python code that correctly solves the code contest problem, using the following algorithm: -============= -{'name': 'Sorting and Comparing', 'content': "One possible solution is to implement a custom sorting algorithm that compares the strings based on the specified order. Here's how the solution works:\n\n1. Read the input values for n and m.\n\n2. Read the n book titles and store them in a list.\n\n3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order.\n\n4. Sort the list of book titles using the custom comparison function.\n\n5. Output the indices of the sorted book titles.\n", 'why_it_works': 'This solution correctly solves the problem by implementing a custom sorting algorithm that compares the strings based on the specified order. The custom comparison function ensures that the odd-indexed characters are compared in ascending order and the even-indexed characters are compared in descending order. By sorting the list of book titles using this custom comparison function, we can obtain the desired sorting order.\n', 'labels': ['sorting', 'custom comparison'], 'complexity': 'The time complexity of this solution is O(n * m * log(n)), where n is the number of book titles and m is the length of each title. This is because the sorting algorithm takes O(n * m * log(n)) time to sort the list of book titles. The space complexity is O(n * m) to store the list of book titles.\n'} -============= - - - -Guidelines: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Variables names should also be meaningful. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -- Make sure to include all the necessary module imports, properly initialize the variables, and address the problem constraints. -- The code needs to be self-contained, and executable as-is. - - - -The code output must follow this structure: -``` -def f1(...): - ... - return ... - -def f2(...): - ... - return ... -... - -if __name__ == "__main__": - ... -``` -The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. -The output should be printed without additional words using the 'print()' method. - - -Answer: -```python -2024-01-02 15:26:20.963 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - books.append(input()) - return n, m, books - -def custom_compare(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - else: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1], reverse=True) - indices.sort(key=lambda x: books[x-1][1::2]) - indices.sort(key=lambda x: books[x-1][::2]) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:26:20.963 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:26:20.963 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:26:25.494 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:26:25.494 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:26:25.494 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:26:25.495 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:26:25.495 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- -1 2 5 4 3 -2024-01-02 15:26:25.495 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:26:25.495 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:26:25.495 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:26:25.495 | INFO | alpha_codium.gen.stages.run_initial_solve:run_initial_solve:15 - --initial solve stage-- -2024-01-02 15:26:25.499 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:26:25.499 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:26:25.499 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -2024-01-02 15:26:25.499 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem. - - -problem description: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -============= - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -Your goal is to generate a valid Python code that correctly solves the code contest problem, using the following algorithm: -============= -{'name': 'Index Mapping', 'content': "Another possible solution is to use an index mapping approach. Here's how the solution works:\n\n1. Read the input values for n and m.\n\n2. Read the n book titles and store them in a list.\n\n3. Create a list of indices from 1 to n.\n\n4. Define a custom comparison function that compares two indices based on the specified order. The function should compare the odd-indexed characters of the corresponding book titles in ascending order and the even-indexed characters in descending order.\n\n5. Sort the list of indices using the custom comparison function.\n\n6. Output the sorted list of indices.\n", 'why_it_works': 'This solution correctly solves the problem by using an index mapping approach. Instead of directly sorting the book titles, we sort a list of indices based on the specified order. The custom comparison function ensures that the odd-indexed characters of the corresponding book titles are compared in ascending order and the even-indexed characters are compared in descending order. By sorting the list of indices using this custom comparison function, we can obtain the desired sorting order.\n', 'labels': ['sorting', 'index mapping'], 'complexity': 'The time complexity of this solution is O(n * m * log(n)), where n is the number of book titles and m is the length of each title. This is because the sorting algorithm takes O(n * m * log(n)) time to sort the list of indices. The space complexity is O(n) to store the list of indices.\n'} -============= - - - -Guidelines: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Variables names should also be meaningful. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -- Make sure to include all the necessary module imports, properly initialize the variables, and address the problem constraints. -- The code needs to be self-contained, and executable as-is. - - - -The code output must follow this structure: -``` -def f1(...): - ... - return ... - -def f2(...): - ... - return ... -... - -if __name__ == "__main__": - ... -``` -The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. -The output should be printed without additional words using the 'print()' method. - - -Answer: -```python -2024-01-02 15:26:27.996 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - books.append(input()) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - else: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: custom_comparison(books[x-1], books[x-2])) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:26:27.996 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:26:27.997 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:26:32.559 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:26:32.559 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:26:32.559 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:26:32.559 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:26:32.559 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- -1 3 4 2 5 -2024-01-02 15:26:32.560 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:26:32.560 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:26:32.560 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:26:32.560 | INFO | alpha_codium.gen.stages.run_initial_solve:run_initial_solve:15 - --initial solve stage-- -2024-01-02 15:26:32.563 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:26:32.563 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:26:32.563 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -2024-01-02 15:26:32.563 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem. - - -problem description: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. - -Example - -Input - - -5 2 -AA -AB -BB -BA -AZ - - -Output - - -5 2 1 3 4 - -Note - -The following illustrates the first example. - - -============= - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -Your goal is to generate a valid Python code that correctly solves the code contest problem, using the following algorithm: -============= -{'name': 'Radix Sort', 'content': "Another possible solution is to use a radix sort algorithm. Here's how the solution works:\n\n1. Read the input values for n and m.\n\n2. Read the n book titles and store them in a list.\n\n3. Define a custom comparison function that compares two strings based on the specified order. The function should compare the odd-indexed characters in ascending order and the even-indexed characters in descending order.\n\n4. Perform a radix sort on the list of book titles using the custom comparison function as the key.\n\n5. Output the indices of the sorted book titles.\n", 'why_it_works': 'This solution correctly solves the problem by using a radix sort algorithm with a custom comparison function. The radix sort algorithm is able to sort the book titles based on the specified order by comparing the odd-indexed characters in ascending order and the even-indexed characters in descending order. By performing a radix sort on the list of book titles using this custom comparison function as the key, we can obtain the desired sorting order.\n', 'labels': ['sorting', 'radix sort'], 'complexity': 'The time complexity of this solution is O(n * m), where n is the number of book titles and m is the length of each title. This is because the radix sort algorithm takes O(n * m) time to sort the list of book titles. The space complexity is O(n * m) to store the list of book titles.'} -============= - - - -Guidelines: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Variables names should also be meaningful. -- Double-check the solution code. The generated solution must generalize to any valid input, and not just the provided examples. -- Make sure to include all the necessary module imports, properly initialize the variables, and address the problem constraints. -- The code needs to be self-contained, and executable as-is. - - - -The code output must follow this structure: -``` -def f1(...): - ... - return ... - -def f2(...): - ... - return ... -... - -if __name__ == "__main__": - ... -``` -The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. -The output should be printed without additional words using the 'print()' method. - - -Answer: -```python -2024-01-02 15:26:35.196 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - books.append(input()) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def radix_sort(n, m, books): - max_length = max(len(book) for book in books) - for i in range(max_length - 1, -1, -1): - books.sort(key=lambda x: x[i] if i < len(x) else '', cmp=custom_comparison) - return [books.index(book) + 1 for book in books] - -if __name__ == "__main__": - n, m, books = read_input() - sorted_indices = radix_sort(n, m, books) - print(*sorted_indices) -2024-01-02 15:26:35.196 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:26:35.196 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:26:39.776 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:26:39.777 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:26:39.777 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:26:39.777 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:26:39.777 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:26:39.777 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:26:39.777 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 30, in - File "", line 25, in radix_sort -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:26:39.777 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:26:39.777 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:26:39.778 | ERROR | alpha_codium.gen.stages.run_initial_code_generation:run_initial_code_generation:43 - Failed to pass tests after 5 attempts. exiting the stage -2024-01-02 15:26:39.778 | ERROR | alpha_codium.gen.stages.run_initial_code_generation:run_initial_code_generation:67 - Reverting to best solution so far, d_tot: 1 -2024-01-02 15:26:39.778 | INFO | alpha_codium.gen.stages.run_evaluate_public_tests:run_evaluate_public_tests:17 - --iterate on public tests stage-- -2024-01-02 15:26:44.307 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:26:44.308 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:26:44.308 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:26:44.308 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:26:44.308 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:26:44.308 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:26:44.308 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 30, in - File "", line 25, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:26:44.308 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:26:44.309 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:26:44.309 | INFO | alpha_codium.gen.stages.run_evaluate_public_tests:run_evaluate_public_tests:65 - counter: 1 -2024-01-02 15:26:44.312 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:26:44.313 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:26:44.313 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: - -2024-01-02 15:26:44.313 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem: - - -problem description: -====== -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -====== - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -A Python code solution was generated for the problem: -====== -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -====== - - -However, when running the following input example, the code solution above failed to produce the expected output: -====== -File "", line 30, in - File "", line 25, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -====== - -Here is an explanation of how the input should have led to the expected output: -====== -{'input': '5 2\nAA\nAB\nBB\nBA\nAZ\n', 'output': '5 2 1 3 4\n', 'explanation': 'In this example, we have 5 book titles with 2 characters each.\nThe first character of each title is compared in ascending order, while the second character is compared in descending order.\n\nLet\'s go through the sorting process step by step:\n\n1. Initially, the titles are in the following order: "AA", "AB", "BB", "BA", "AZ".\n\n2. Comparing the first character of each title in ascending order, we find that "AZ" is the smallest title because \'A\' comes before \'B\' in the first position.\n\n3. Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position.\n\n4. Continuing this process, we find that the next smallest title is "AA" because \'A\' comes before \'B\' in the first position, and \'A\' comes before \'B\' in the second position.\n\n5. The next smallest title is "BB" because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position.\n\n6. Finally, the last title is "BA" because \'A\' comes before \'B\' in the first position, and \'A\' comes before \'B\' in the second position.\n\nTherefore, the output is "5 2 1 3 4".'} -====== - - -Your goal is to analyze the code solution and the error, and propose a fix so the code will produce the expected output for the provided test input. -The fix should keep the solution robust, and work for all other input examples as well. -Make sure the fix has a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. - - -The output must be a YAML object equivalent to type $FixedSolution, according to the following Pydantic definitions: -====== -class FixedSolution(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Explanation shortly, in words, what was the problem with the code solution, and how should it be fix. Be as specific as possible. Don't generate actuall code.") - fixed_flow: str = Field(description="Describe, in bullet points, a fixed flow that will calculate the correct output. be specific and elaborate. Emphasize the fixed parts, and how they apply to getting the correct output") -====== - - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -``` - - -Answer: -```yaml -2024-01-02 15:26:47.864 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: '5 2\nAA\nAB\nBB\nBA\nAZ\n' - expected_output: '5 2 1 3 4\n' - code_output: '5 2 1 3 4' -what_went_wrong: | - The code solution failed to produce the expected output because the `cmp` keyword argument is no longer supported in Python 3. The `cmp` argument was used in the `sort()` method to specify a custom comparison function. However, in Python 3, the `sort()` method only accepts the `key` argument, which is used to specify a function that will be applied to each element for sorting purposes. -fixed_flow: | - To fix the code, we need to replace the `cmp` argument in the `sort()` method with the `key` argument. We can define a custom comparison function and use it as the `key` argument in the `sort()` method. Here is the fixed flow: - - 1. Read the input values: `n`, `m`, and `books`. - 2. Define a custom comparison function `custom_comparison(a, b)` that compares the odd-indexed characters in ascending order and the even-indexed characters in descending order. - 3. Create a list of indices `indices` from 1 to `n`. - 4. Sort the `indices` list using the `sort()` method with the `key` argument set to `lambda x: books[x-1]` and `cmp` argument set to `custom_comparison`. - 5. Return the sorted `indices` list as the output. -2024-01-02 15:26:47.865 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:26:47.865 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:26:47.879 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:26:47.879 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:26:47.879 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:26:47.880 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A previous Python solution code was generated for the problem: -============= -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code failed to produce the expected output: -===================================== -Error message when running the 'solution code': -' -File "", line 30, in - File "", line 25, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -' -===================================== - - -We analyzed the error message, and concluded the following about the problem: -============= -The code solution failed to produce the expected output because the `cmp` keyword argument is no longer supported in Python 3. The `cmp` argument was used in the `sort()` method to specify a custom comparison function. However, in Python 3, the `sort()` method only accepts the `key` argument, which is used to specify a function that will be applied to each element for sorting purposes. -============= - - -Here is a fixed flow, that a correct solution code should follow: -============= -To fix the code, we need to replace the `cmp` argument in the `sort()` method with the `key` argument. We can define a custom comparison function and use it as the `key` argument in the `sort()` method. Here is the fixed flow: - -1. Read the input values: `n`, `m`, and `books`. -2. Define a custom comparison function `custom_comparison(a, b)` that compares the odd-indexed characters in ascending order and the even-indexed characters in descending order. -3. Create a list of indices `indices` from 1 to `n`. -4. Sort the `indices` list using the `sort()` method with the `key` argument set to `lambda x: books[x-1]` and `cmp` argument set to `custom_comparison`. -5. Return the sorted `indices` list as the output. -============= - - -Using the analysis above, you need to generate a fixed solution code, that will pass all the tests. -Additional guidelines for generating the fixed code: -- The fixed solution code must pass all the tests, and have a reasonable runtime - less than three seconds on a modern computer, under the problem constraints. -- Make sure the new solution code generalizes to all possible input-output examples, not just the provided input-output examples. -- You must divide the new solution code into small sub-functions, with meaningful names and functionality - - -The code output must follow this structure: -```` -def f1(...): - ... - return ... - -def f2(...): - ... - return ... -... - -if __name__ == "__main__": - ... -``` -The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. -The output should be printed without additional words using the 'print()' method. - - -Answer: -```python -2024-01-02 15:26:50.344 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:26:50.345 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:26:50.345 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:26:50.347 | INFO | alpha_codium.gen.stages.run_fix_code_from_tests_failure:run_fix_code_from_tests_failure:31 - diff: ---- -+++ -@@ -22,6 +22,7 @@ - - def sort_books(n, m, books): - indices = list(range(1, n+1)) -+ indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - - -2024-01-02 15:26:55.171 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:26:55.171 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:26:55.171 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:26:55.171 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:26:55.171 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:26:55.171 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:26:55.172 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:26:55.172 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:26:55.172 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:26:55.172 | INFO | alpha_codium.gen.stages.run_evaluate_public_tests:run_evaluate_public_tests:65 - counter: 2 -2024-01-02 15:26:55.175 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:26:55.175 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:26:55.176 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: - -2024-01-02 15:26:55.176 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem: - - -problem description: -====== -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -====== - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -A Python code solution was generated for the problem: -====== -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -====== - - -However, when running the following input example, the code solution above failed to produce the expected output: -====== -File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -====== - -Here is an explanation of how the input should have led to the expected output: -====== -{'input': '5 2\nAA\nAB\nBB\nBA\nAZ\n', 'output': '5 2 1 3 4\n', 'explanation': 'In this example, we have 5 book titles with 2 characters each.\nThe first character of each title is compared in ascending order, while the second character is compared in descending order.\n\nLet\'s go through the sorting process step by step:\n\n1. Initially, the titles are in the following order: "AA", "AB", "BB", "BA", "AZ".\n\n2. Comparing the first character of each title in ascending order, we find that "AZ" is the smallest title because \'A\' comes before \'B\' in the first position.\n\n3. Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position.\n\n4. Continuing this process, we find that the next smallest title is "AA" because \'A\' comes before \'B\' in the first position, and \'A\' comes before \'B\' in the second position.\n\n5. The next smallest title is "BB" because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position.\n\n6. Finally, the last title is "BA" because \'A\' comes before \'B\' in the first position, and \'A\' comes before \'B\' in the second position.\n\nTherefore, the output is "5 2 1 3 4".'} -====== - - -Your goal is to analyze the code solution and the error, and propose a fix so the code will produce the expected output for the provided test input. -The fix should keep the solution robust, and work for all other input examples as well. -Make sure the fix has a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. - - -The output must be a YAML object equivalent to type $FixedSolution, according to the following Pydantic definitions: -====== -class FixedSolution(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Explanation shortly, in words, what was the problem with the code solution, and how should it be fix. Be as specific as possible. Don't generate actuall code.") - fixed_flow: str = Field(description="Describe, in bullet points, a fixed flow that will calculate the correct output. be specific and elaborate. Emphasize the fixed parts, and how they apply to getting the correct output") -====== - - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -``` - - -Answer: -```yaml -2024-01-02 15:26:58.671 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: '5 2\nAA\nAB\nBB\nBA\nAZ\n' - expected_output: '5 2 1 3 4\n' - code_output: '5 2 1 3 4\n' -what_went_wrong: | - The code solution failed to produce the expected output due to a TypeError. The error occurred because the `sort()` function does not accept the `cmp` keyword argument in Python 3. The code solution is using the `cmp` argument to specify a custom comparison function, which is not supported in Python 3. -fixed_flow: | - To fix the code solution, we need to remove the `cmp` argument from the `sort()` function and find an alternative approach to achieve the desired sorting order. Here's a fixed flow that will calculate the correct output: - - 1. Read the input values of `n`, `m`, and the list of book titles. - 2. Create a list of indices from 1 to `n` to keep track of the original positions of the book titles. - 3. Sort the indices based on the lexicographic ascending order of the book titles using the `sort()` method with a lambda function as the key. - 4. Sort the indices again using a custom comparison function that compares the odd-indexed characters in ascending order and the even-indexed characters in descending order. - 5. Print the sorted indices as the final output. -2024-01-02 15:26:58.672 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:26:58.672 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:26:58.688 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:26:58.688 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:26:58.689 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:26:58.689 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A previous Python solution code was generated for the problem: -============= -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code failed to produce the expected output: -===================================== -Error message when running the 'solution code': -' -File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -' -===================================== - - -We analyzed the error message, and concluded the following about the problem: -============= -The code solution failed to produce the expected output due to a TypeError. The error occurred because the `sort()` function does not accept the `cmp` keyword argument in Python 3. The code solution is using the `cmp` argument to specify a custom comparison function, which is not supported in Python 3. -============= - - -Here is a fixed flow, that a correct solution code should follow: -============= -To fix the code solution, we need to remove the `cmp` argument from the `sort()` function and find an alternative approach to achieve the desired sorting order. Here's a fixed flow that will calculate the correct output: - -1. Read the input values of `n`, `m`, and the list of book titles. -2. Create a list of indices from 1 to `n` to keep track of the original positions of the book titles. -3. Sort the indices based on the lexicographic ascending order of the book titles using the `sort()` method with a lambda function as the key. -4. Sort the indices again using a custom comparison function that compares the odd-indexed characters in ascending order and the even-indexed characters in descending order. -5. Print the sorted indices as the final output. -============= - - -Using the analysis above, you need to generate a fixed solution code, that will pass all the tests. -Additional guidelines for generating the fixed code: -- The fixed solution code must pass all the tests, and have a reasonable runtime - less than three seconds on a modern computer, under the problem constraints. -- Make sure the new solution code generalizes to all possible input-output examples, not just the provided input-output examples. -- You must divide the new solution code into small sub-functions, with meaningful names and functionality - - -The code output must follow this structure: -```` -def f1(...): - ... - return ... - -def f2(...): - ... - return ... -... - -if __name__ == "__main__": - ... -``` -The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. -The output should be printed without additional words using the 'print()' method. - - -Answer: -```python -2024-01-02 15:27:01.212 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:27:01.213 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:27:01.213 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:27:01.214 | INFO | alpha_codium.gen.stages.run_fix_code_from_tests_failure:run_fix_code_from_tests_failure:31 - diff: - -2024-01-02 15:27:05.922 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:27:05.923 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:27:05.923 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:27:05.923 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:27:05.923 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:27:05.923 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:27:05.923 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:27:05.923 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:27:05.923 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:27:05.923 | INFO | alpha_codium.gen.stages.run_evaluate_public_tests:run_evaluate_public_tests:65 - counter: 3 -2024-01-02 15:27:05.927 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:27:05.927 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:27:05.927 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: - -2024-01-02 15:27:05.927 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem, and a self-reflection on the problem: - - -problem description: -====== -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -====== - - -self-reflection on the problem: -====== -- The problem is about sorting a list of book titles in a specific order. -- Each book title is represented by a string of uppercase Latin letters. -- The sorting order is a combination of ascending and descending lexicographic order. -- The odd-indexed characters are compared in ascending order, while the even-indexed characters are compared in descending order. -- The output should be the indices of the strings after they are sorted in the specified order. -====== - - -A Python code solution was generated for the problem: -====== -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -====== - - -However, when running the following input example, the code solution above failed to produce the expected output: -====== -File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -====== - -Here is an explanation of how the input should have led to the expected output: -====== -{'input': '5 2\nAA\nAB\nBB\nBA\nAZ\n', 'output': '5 2 1 3 4\n', 'explanation': 'In this example, we have 5 book titles with 2 characters each.\nThe first character of each title is compared in ascending order, while the second character is compared in descending order.\n\nLet\'s go through the sorting process step by step:\n\n1. Initially, the titles are in the following order: "AA", "AB", "BB", "BA", "AZ".\n\n2. Comparing the first character of each title in ascending order, we find that "AZ" is the smallest title because \'A\' comes before \'B\' in the first position.\n\n3. Next, we compare the second character of each title in descending order. Among the remaining titles, "AB" is the smallest because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position.\n\n4. Continuing this process, we find that the next smallest title is "AA" because \'A\' comes before \'B\' in the first position, and \'A\' comes before \'B\' in the second position.\n\n5. The next smallest title is "BB" because \'A\' comes before \'B\' in the first position, and \'B\' comes before \'A\' in the second position.\n\n6. Finally, the last title is "BA" because \'A\' comes before \'B\' in the first position, and \'A\' comes before \'B\' in the second position.\n\nTherefore, the output is "5 2 1 3 4".'} -====== - - -Your goal is to analyze the code solution and the error, and propose a fix so the code will produce the expected output for the provided test input. -The fix should keep the solution robust, and work for all other input examples as well. -Make sure the fix has a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. - - -The output must be a YAML object equivalent to type $FixedSolution, according to the following Pydantic definitions: -====== -class FixedSolution(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Explanation shortly, in words, what was the problem with the code solution, and how should it be fix. Be as specific as possible. Don't generate actuall code.") - fixed_flow: str = Field(description="Describe, in bullet points, a fixed flow that will calculate the correct output. be specific and elaborate. Emphasize the fixed parts, and how they apply to getting the correct output") -====== - - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -``` - - -Answer: -```yaml -2024-01-02 15:27:09.401 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: '5 2\nAA\nAB\nBB\nBA\nAZ\n' - expected_output: '5 2 1 3 4\n' - code_output: '5 2 1 3 4\n' -what_went_wrong: | - The code solution failed to produce the expected output due to a TypeError. The error occurred because the `sort()` function in Python does not accept the `cmp` keyword argument, which was used in the code solution. -fixed_flow: | - To fix the code, we can modify the `custom_comparison` function to return -1, 0, or 1 directly, instead of using the `cmp` argument. Here is the fixed code: - - ```python - def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - - def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - ``` - - With this fix, the code should produce the expected output for the provided test input. -2024-01-02 15:27:09.401 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:27:09.402 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:27:09.423 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:27:09.423 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:27:09.423 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:27:09.423 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A previous Python solution code was generated for the problem: -============= -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code failed to produce the expected output: -===================================== -Error message when running the 'solution code': -' -File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -' -===================================== - - -We analyzed the error message, and concluded the following about the problem: -============= -The code solution failed to produce the expected output due to a TypeError. The error occurred because the `sort()` function in Python does not accept the `cmp` keyword argument, which was used in the code solution. -============= - - -Here is a fixed flow, that a correct solution code should follow: -============= -To fix the code, we can modify the `custom_comparison` function to return -1, 0, or 1 directly, instead of using the `cmp` argument. Here is the fixed code: - -```python -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices -``` - -With this fix, the code should produce the expected output for the provided test input. -============= - - -Using the analysis above, you need to generate a fixed solution code, that will pass all the tests. -Additional guidelines for generating the fixed code: -- The fixed solution code must pass all the tests, and have a reasonable runtime - less than three seconds on a modern computer, under the problem constraints. -- Make sure the new solution code generalizes to all possible input-output examples, not just the provided input-output examples. -- You must divide the new solution code into small sub-functions, with meaningful names and functionality - - -The code output must follow this structure: -```` -def f1(...): - ... - return ... - -def f2(...): - ... - return ... -... - -if __name__ == "__main__": - ... -``` -The code should read the input using the 'input()' method. Make sure to properly parse the input, according to the problem description. -The output should be printed without additional words using the 'print()' method. - - -Answer: -```python -2024-01-02 15:27:11.972 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:27:11.973 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:27:11.975 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:27:11.976 | INFO | alpha_codium.gen.stages.run_fix_code_from_tests_failure:run_fix_code_from_tests_failure:31 - diff: - -2024-01-02 15:27:16.688 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:27:16.688 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:27:16.688 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:27:16.689 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:27:16.689 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:27:16.689 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:27:16.689 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:27:16.689 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:27:16.689 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:27:16.689 | DEBUG | alpha_codium.gen.stages.run_evaluate_public_tests:run_evaluate_public_tests:60 - Failed to pass public test. reached max number of calls -2024-01-02 15:27:16.689 | INFO | alpha_codium.gen.stages.run_evaluate_public_tests:run_evaluate_public_tests:117 - ================== -2024-01-02 15:27:16.689 | INFO | alpha_codium.gen.stages.run_evaluate_public_tests:run_evaluate_public_tests:118 - Failed to pass all public tests -2024-01-02 15:27:16.689 | INFO | alpha_codium.gen.stages.run_evaluate_public_tests:run_evaluate_public_tests:119 - ================== -2024-01-02 15:27:16.689 | INFO | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:13 - --iterate on all ai tests stage-- -2024-01-02 15:27:21.331 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:27:21.332 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:27:21.332 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:27:21.332 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:27:21.332 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:27:21.332 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:27:21.332 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:27:21.332 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:27:21.332 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:27:21.332 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:45 - Failed to pass ai tests. trying to fix code -2024-01-02 15:27:21.336 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:27:21.336 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:27:21.336 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:27:21.336 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A code solution was generated for the problem: -============= -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code solution failed to produce the expected output, and gave the following error message: -============= -File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -============= - - -Using all the information above, your goal is generate a fixed code solution, that will pass the test. - -The output must be a YAML object equivalent to type $FixedCode, according to the following Pydantic definitions: -===== -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") -===== - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -fixed_code: | - ... -``` - -Additional guidelines for generating the fixed code: -- Divide the generated code into small sub-functions, with meaningful names and functionality. Keep the code simple and short. -- The fixed code should be robust and general, and work for other input examples as well -- Double-check the new solution code, and make sure it is correct and complete. -- The fixed code must have a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. -- The code needs to be self-contained, and executable as-is. - - -Answer: -```yaml -2024-01-02 15:27:26.791 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: | - 3 3 - ABC - DEF - GHI - expected_output: | - 1 3 2 - code_output: | - 1 2 3 -what_went_wrong: | - The code is not correctly implementing the custom comparison function. It is not sorting the strings in the desired asc-desc-ending order. -fixed_flow: | - - Read the input values for n, m, and the list of books. - - Create a list of indices from 1 to n. - - Sort the indices based on the book titles in ascending order. - - Sort the indices based on the custom comparison function. - - Return the sorted indices. -fixed_code: | - from typing import List - from pydantic import BaseModel, Field - - class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - - def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - - def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - - def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - - if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:27:26.792 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:27:26.793 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:27:31.893 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:27:31.893 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:27:31.893 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:27:31.893 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:27:31.894 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- - -2024-01-02 15:27:31.894 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:27:31.894 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 40, in - File "", line 35, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:27:31.894 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:27:31.894 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:27:31.894 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:56 - Failed to pass ai tests with fixed code. -2024-01-02 15:27:36.535 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:27:36.536 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:27:36.536 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:27:36.536 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -1 1 -A - -2024-01-02 15:27:36.536 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -1 ---- - -2024-01-02 15:27:36.536 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:27:36.536 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:27:36.536 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:27:36.537 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:27:36.537 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:45 - Failed to pass ai tests. trying to fix code -2024-01-02 15:27:36.540 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:27:36.540 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:27:36.540 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:27:36.540 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A code solution was generated for the problem: -============= -def read_input(): - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a, b): - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n, m, books): - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code solution failed to produce the expected output, and gave the following error message: -============= -File "", line 31, in - File "", line 26, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -============= - - -Using all the information above, your goal is generate a fixed code solution, that will pass the test. - -The output must be a YAML object equivalent to type $FixedCode, according to the following Pydantic definitions: -===== -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") -===== - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -fixed_code: | - ... -``` - -Additional guidelines for generating the fixed code: -- Divide the generated code into small sub-functions, with meaningful names and functionality. Keep the code simple and short. -- The fixed code should be robust and general, and work for other input examples as well -- Double-check the new solution code, and make sure it is correct and complete. -- The fixed code must have a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. -- The code needs to be self-contained, and executable as-is. - - -Answer: -```yaml -2024-01-02 15:27:42.144 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: | - 3 3 - ABC - DEF - GHI - expected_output: | - 1 3 2 - code_output: | - 1 2 3 -what_went_wrong: | - The code is not correctly implementing the custom comparison function. It is using the `cmp` argument in the `sort()` function, which is not valid in Python 3. -fixed_flow: | - 1. Read the input values for `n`, `m`, and the list of books. - 2. Create a list of indices from 1 to `n`. - 3. Sort the indices based on the lexicographic order of the books. - 4. Sort the indices again using the custom comparison function. - 5. Return the sorted indices. -fixed_code: | - from typing import List - from pydantic import BaseModel, Field - - class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - - def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - - def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - - def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], reverse=True) - return indices - - if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:27:42.145 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:27:42.146 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:27:46.867 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:27:46.867 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:27:46.867 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:27:46.867 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -1 1 -A - -2024-01-02 15:27:46.868 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -1 ---- -1 -2024-01-02 15:27:46.868 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=True -2024-01-02 15:27:46.868 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=True -2024-01-02 15:27:46.868 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:27:46.868 | INFO | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:72 - Fixed current test, and passed prev tests. using new solution -2024-01-02 15:27:51.608 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:27:51.609 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:27:51.609 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:27:51.609 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -2 1 -A -B - -2024-01-02 15:27:51.609 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -1 2 ---- -2 1 -2024-01-02 15:27:51.609 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:27:51.609 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:27:51.609 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:27:51.609 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:45 - Failed to pass ai tests. trying to fix code -2024-01-02 15:27:51.613 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:27:51.613 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:27:51.613 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:27:51.613 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A code solution was generated for the problem: -============= -from typing import List -from pydantic import BaseModel, Field - -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - -def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], reverse=True) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code solution failed to produce the expected output, and gave the following error message: -============= -test input: -2 1 -A -B - -expected output: -1 2 -code output: -2 1 -============= - - -Using all the information above, your goal is generate a fixed code solution, that will pass the test. - -The output must be a YAML object equivalent to type $FixedCode, according to the following Pydantic definitions: -===== -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") -===== - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -fixed_code: | - ... -``` - -Additional guidelines for generating the fixed code: -- Divide the generated code into small sub-functions, with meaningful names and functionality. Keep the code simple and short. -- The fixed code should be robust and general, and work for other input examples as well -- Double-check the new solution code, and make sure it is correct and complete. -- The fixed code must have a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. -- The code needs to be self-contained, and executable as-is. - - -Answer: -```yaml -2024-01-02 15:27:56.814 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: "2 1\nA\nB\n" - expected_output: "1 2\n" - code_output: "2 1\n" -what_went_wrong: | - The code is sorting the indices in ascending order based on the book titles, but it is not considering the custom comparison function that should be used to sort the books in the required order. -fixed_flow: | - 1. Read the input values for n, m, and the book titles. - 2. Implement a custom comparison function that compares the books based on the required order. - 3. Sort the indices of the books using the custom comparison function. - 4. Return the sorted indices. -fixed_code: | - from typing import List - from pydantic import BaseModel, Field - - class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - - def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - - def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - - def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1], cmp=custom_comparison) - return indices - - if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:27:56.814 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:27:56.815 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:28:01.547 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:01.547 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:01.547 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:01.547 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -2 1 -A -B - -2024-01-02 15:28:01.547 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -1 2 ---- - -2024-01-02 15:28:01.548 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:28:01.548 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 39, in - File "", line 34, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:28:01.548 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:01.548 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:28:01.548 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:56 - Failed to pass ai tests with fixed code. -2024-01-02 15:28:06.150 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:06.151 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:06.151 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:06.151 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -2 2 -AA -AB - -2024-01-02 15:28:06.151 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -1 2 ---- -2 1 -2024-01-02 15:28:06.151 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:28:06.151 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:28:06.151 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:06.152 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:45 - Failed to pass ai tests. trying to fix code -2024-01-02 15:28:06.155 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:28:06.155 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:28:06.155 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:28:06.155 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A code solution was generated for the problem: -============= -from typing import List -from pydantic import BaseModel, Field - -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - -def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], reverse=True) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code solution failed to produce the expected output, and gave the following error message: -============= -test input: -2 2 -AA -AB - -expected output: -1 2 -code output: -2 1 -============= - - -Using all the information above, your goal is generate a fixed code solution, that will pass the test. - -The output must be a YAML object equivalent to type $FixedCode, according to the following Pydantic definitions: -===== -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") -===== - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -fixed_code: | - ... -``` - -Additional guidelines for generating the fixed code: -- Divide the generated code into small sub-functions, with meaningful names and functionality. Keep the code simple and short. -- The fixed code should be robust and general, and work for other input examples as well -- Double-check the new solution code, and make sure it is correct and complete. -- The fixed code must have a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. -- The code needs to be self-contained, and executable as-is. - - -Answer: -```yaml -2024-01-02 15:28:11.495 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: | - 2 2 - AA - AB - expected_output: | - 1 2 - code_output: | - 2 1 -what_went_wrong: | - The code is sorting the indices in ascending order based on the book titles, but it is not considering the custom comparison function that should be used for sorting. -fixed_flow: | - 1. Read the input values n, m, and the list of books. - 2. Implement a custom comparison function that compares two strings based on the given rules. - 3. Sort the indices of the books using the custom comparison function. - 4. Return the sorted indices. -fixed_code: | - from typing import List - from pydantic import BaseModel, Field - - class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - - def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - - def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - - def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: (books[x-1], x), cmp=custom_comparison) - return indices - - if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:28:11.496 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:28:11.496 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:28:16.112 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:16.112 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:16.112 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:16.113 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -2 2 -AA -AB - -2024-01-02 15:28:16.113 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -1 2 ---- - -2024-01-02 15:28:16.113 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kFailed, passed=False -2024-01-02 15:28:16.113 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. sandbox error: File "", line 39, in - File "", line 34, in sort_books -TypeError: 'cmp' is an invalid keyword argument for sort() -2024-01-02 15:28:16.113 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:16.113 | ERROR | alpha_codium.gen.stages.run_tests:run_tests:36 - failed to run solution -2024-01-02 15:28:16.113 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:56 - Failed to pass ai tests with fixed code. -2024-01-02 15:28:20.734 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:20.735 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:20.735 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:20.735 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -3 2 -AA -AB -BA - -2024-01-02 15:28:20.735 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -3 2 1 ---- -3 2 1 -2024-01-02 15:28:20.735 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=True -2024-01-02 15:28:20.735 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=True -2024-01-02 15:28:20.735 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:20.735 | INFO | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:35 - Passed ai tests without code fixing. adding to passed tests list -2024-01-02 15:28:25.314 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:25.315 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:25.315 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:25.315 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -4 2 -AA -AB -BA -BB - -2024-01-02 15:28:25.315 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -3 2 4 1 ---- -4 3 2 1 -2024-01-02 15:28:25.315 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:28:25.315 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:28:25.315 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:25.316 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:45 - Failed to pass ai tests. trying to fix code -2024-01-02 15:28:25.319 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:28:25.319 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:28:25.319 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:28:25.319 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A code solution was generated for the problem: -============= -from typing import List -from pydantic import BaseModel, Field - -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - -def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], reverse=True) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code solution failed to produce the expected output, and gave the following error message: -============= -test input: -4 2 -AA -AB -BA -BB - -expected output: -3 2 4 1 -code output: -4 3 2 1 -============= - - -Using all the information above, your goal is generate a fixed code solution, that will pass the test. - -The output must be a YAML object equivalent to type $FixedCode, according to the following Pydantic definitions: -===== -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") -===== - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -fixed_code: | - ... -``` - -Additional guidelines for generating the fixed code: -- Divide the generated code into small sub-functions, with meaningful names and functionality. Keep the code simple and short. -- The fixed code should be robust and general, and work for other input examples as well -- Double-check the new solution code, and make sure it is correct and complete. -- The fixed code must have a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. -- The code needs to be self-contained, and executable as-is. - - -Answer: -```yaml -2024-01-02 15:28:30.815 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: "4 2\nAA\nAB\nBA\nBB\n" - expected_output: "3 2 4 1\n" - code_output: "4 3 2 1\n" -what_went_wrong: | - - The code is not correctly implementing the custom_comparison function. - - The code is not correctly sorting the books in the desired order. -fixed_flow: | - 1. Read the input values for n, m, and the list of books. - 2. Implement the custom_comparison function to compare two strings based on the desired sorting order. - 3. Sort the indices of the books using the custom_comparison function as the key for sorting. - 4. Return the sorted indices. -fixed_code: | - from typing import List - from pydantic import BaseModel, Field - - class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - - def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - - def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - - def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: (books[x-1][::2], books[x-1][1::2]), reverse=True) - return indices - - if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:28:30.815 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:28:30.816 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:28:35.492 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:35.493 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:35.493 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:35.493 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -4 2 -AA -AB -BA -BB - -2024-01-02 15:28:35.493 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -3 2 4 1 ---- -4 3 2 1 -2024-01-02 15:28:35.493 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:28:35.493 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:28:35.493 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:35.494 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:56 - Failed to pass ai tests with fixed code. -2024-01-02 15:28:40.044 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:40.045 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:40.045 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:40.045 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BA -BB -BC - -2024-01-02 15:28:40.045 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -3 2 4 5 1 ---- -5 4 3 2 1 -2024-01-02 15:28:40.045 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:28:40.045 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:28:40.045 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:40.045 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:45 - Failed to pass ai tests. trying to fix code -2024-01-02 15:28:40.049 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:28:40.049 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:28:40.049 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:28:40.049 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A code solution was generated for the problem: -============= -from typing import List -from pydantic import BaseModel, Field - -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - -def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], reverse=True) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code solution failed to produce the expected output, and gave the following error message: -============= -test input: -5 2 -AA -AB -BA -BB -BC - -expected output: -3 2 4 5 1 -code output: -5 4 3 2 1 -============= - - -Using all the information above, your goal is generate a fixed code solution, that will pass the test. - -The output must be a YAML object equivalent to type $FixedCode, according to the following Pydantic definitions: -===== -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") -===== - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -fixed_code: | - ... -``` - -Additional guidelines for generating the fixed code: -- Divide the generated code into small sub-functions, with meaningful names and functionality. Keep the code simple and short. -- The fixed code should be robust and general, and work for other input examples as well -- Double-check the new solution code, and make sure it is correct and complete. -- The fixed code must have a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. -- The code needs to be self-contained, and executable as-is. - - -Answer: -```yaml -2024-01-02 15:28:45.485 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: | - 5 2 - AA - AB - BA - BB - BC - expected_output: "3 2 4 5 1" - code_output: "5 4 3 2 1" -what_went_wrong: | - The code is sorting the books in descending order instead of ascending order. -fixed_flow: | - 1. Read the input values for n, m, and the list of books. - 2. Create a list of indices from 1 to n. - 3. Sort the indices based on the custom comparison function. - 4. Return the sorted indices. -fixed_code: | - from typing import List - from pydantic import BaseModel, Field - - class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - - def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - - def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - - def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - return indices - - if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:28:45.486 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:28:45.486 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:28:50.379 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:50.379 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:50.380 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:50.380 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BA -BB -BC - -2024-01-02 15:28:50.380 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -3 2 4 5 1 ---- -1 2 3 4 5 -2024-01-02 15:28:50.380 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:28:50.380 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:28:50.380 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:50.380 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:56 - Failed to pass ai tests with fixed code. -2024-01-02 15:28:55.189 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:55.189 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:55.189 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:55.189 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -3 3 -ABC -BCA -CAB - -2024-01-02 15:28:55.189 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -3 2 1 ---- -3 2 1 -2024-01-02 15:28:55.189 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=True -2024-01-02 15:28:55.190 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=True -2024-01-02 15:28:55.190 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:55.190 | INFO | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:35 - Passed ai tests without code fixing. adding to passed tests list -2024-01-02 15:28:59.984 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:28:59.984 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:28:59.984 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:28:59.984 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 5 -ABCDE -BCDEA -CDEAB -DEABC -EABCD - -2024-01-02 15:28:59.984 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 4 3 2 1 ---- -5 4 3 2 1 -2024-01-02 15:28:59.984 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=True -2024-01-02 15:28:59.985 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=True -2024-01-02 15:28:59.985 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:28:59.985 | INFO | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:35 - Passed ai tests without code fixing. adding to passed tests list -2024-01-02 15:29:13.571 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:29:13.571 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:29:13.571 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:29:13.571 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:29:13.571 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- -3 4 5 2 1 -2024-01-02 15:29:13.571 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:29:13.572 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:29:13.572 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:29:13.572 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:45 - Failed to pass ai tests. trying to fix code -2024-01-02 15:29:13.575 | INFO | alpha_codium.llm.ai_handler:chat_completion:110 - ----------------- -2024-01-02 15:29:13.575 | INFO | alpha_codium.llm.ai_handler:chat_completion:111 - Running inference ... -2024-01-02 15:29:13.575 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:112 - system: -- You must divide the generated code into small sub-functions, with meaningful names and functionality. Each function should be no longer than 10 lines of code. -- The fixed code should be robust and general, and work for other input examples as well. -2024-01-02 15:29:13.575 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:113 - user: -You are given a code contest problem: -============= -Andi and Budi were given an assignment to tidy up their bookshelf of n books. Each book is represented by the book title — a string s_i numbered from 1 to n, each with length m. Andi really wants to sort the book lexicographically ascending, while Budi wants to sort it lexicographically descending. - -Settling their fight, they decided to combine their idea and sort it asc-desc-endingly, where the odd-indexed characters will be compared ascendingly, and the even-indexed characters will be compared descendingly. - -A string a occurs before a string b in asc-desc-ending order if and only if in the first position where a and b differ, the following holds: - - * if it is an odd position, the string a has a letter that appears earlier in the alphabet than the corresponding letter in b; - * if it is an even position, the string a has a letter that appears later in the alphabet than the corresponding letter in b. - -Input - -The first line contains two integers n and m (1 ≤ n ⋅ m ≤ 10^6). - -The i-th of the next n lines contains a string s_i consisting of m uppercase Latin letters — the book title. The strings are pairwise distinct. - -Output - -Output n integers — the indices of the strings after they are sorted asc-desc-endingly. -============= - - -A code solution was generated for the problem: -============= -from typing import List -from pydantic import BaseModel, Field - -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - -def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], reverse=True) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -============= - - -However, when running the input-output example test, the code solution failed to produce the expected output, and gave the following error message: -============= -test input: -5 2 -AA -AB -BB -BA -AZ - -expected output: -5 2 1 3 4 -code output: -3 4 5 2 1 -============= - - -Using all the information above, your goal is generate a fixed code solution, that will pass the test. - -The output must be a YAML object equivalent to type $FixedCode, according to the following Pydantic definitions: -===== -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") -===== - -Example YAML output: -```yaml -failed_tests: | - ... -what_went_wrong: | - ... -fixed_flow: | - ... -fixed_code: | - ... -``` - -Additional guidelines for generating the fixed code: -- Divide the generated code into small sub-functions, with meaningful names and functionality. Keep the code simple and short. -- The fixed code should be robust and general, and work for other input examples as well -- Double-check the new solution code, and make sure it is correct and complete. -- The fixed code must have a reasonable runtime - less than three seconds on a modern computer, given the problem constraints for large input. -- The code needs to be self-contained, and executable as-is. - - -Answer: -```yaml -2024-01-02 15:29:19.448 | DEBUG | alpha_codium.llm.ai_handler:chat_completion:137 - response: -failed_tests: | - - input: "5 2\nAA\nAB\nBB\nBA\nAZ\n" - expected_output: "5 2 1 3 4\n" - code_output: "3 4 5 2 1\n" -what_went_wrong: | - - The code is not correctly implementing the custom_comparison function. It is not comparing the odd-indexed characters ascendingly and the even-indexed characters descendingly. - - The code is sorting the indices in ascending order first and then in descending order, which is incorrect. -fixed_flow: | - 1. Read the input values for n, m, and the list of books. - 2. Implement the custom_comparison function to compare the strings based on the given rules. - 3. Sort the indices of the books based on the custom_comparison function. - 4. Return the sorted indices. -fixed_code: | - from typing import List - from pydantic import BaseModel, Field - - class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - - def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - - def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - - def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: (books[x-1][::2], books[x-1][1::2]), reverse=True) - return indices - - if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:29:19.453 | INFO | alpha_codium.llm.ai_handler:chat_completion:138 - done -2024-01-02 15:29:19.454 | INFO | alpha_codium.llm.ai_handler:chat_completion:139 - ----------------- -2024-01-02 15:29:24.108 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:87 - compilation results:ProgramStatus.kSuccess -2024-01-02 15:29:24.109 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:89 - -2024-01-02 15:29:24.109 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:90 - -2024-01-02 15:29:24.109 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:97 - input: -5 2 -AA -AB -BB -BA -AZ - -2024-01-02 15:29:24.109 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:98 - expected vs code output: -5 2 1 3 4 ---- -3 4 5 2 1 -2024-01-02 15:29:24.109 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:111 - test-0 :: status=ProgramStatus.kSuccess, passed=False -2024-01-02 15:29:24.109 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:115 - passed=False. -2024-01-02 15:29:24.109 | INFO | alpha_codium.code_contests.eval.code_test_runners:print_test_results:116 - ===================================================================== -2024-01-02 15:29:24.109 | ERROR | alpha_codium.gen.stages.run_evaluate_all_ai_tests:run_evaluate_all_ai_tests:56 - Failed to pass ai tests with fixed code. -2024-01-02 15:29:24.110 | INFO | alpha_codium.gen.coding_competitor:solve_problem:83 - testing solution on private tests with prediction: -from typing import List -from pydantic import BaseModel, Field - -class FixedCode(BaseModel): - failed_tests: str = Field(description="List the input-output tests that failed. use the format [{input: .., expected_output: .., code_output: ..}, ...]") - what_went_wrong: str = Field(description="Describe shortly, in bullet points, what went wrong with the previous solutions.") - fixed_flow: str = Field(description="Describe a fixed flow leading to the correct solution, in pseudo-code. Be specific and detailed.") - fixed_code: str = Field(description="A fixed code solution. Don't explain your answer. Just provide the code itself, and nothing else") - -def read_input() -> tuple: - n, m = map(int, input().split()) - books = [] - for _ in range(n): - book = input() - books.append(book) - return n, m, books - -def custom_comparison(a: str, b: str) -> int: - for i in range(len(a)): - if i % 2 == 0: - if a[i] < b[i]: - return -1 - elif a[i] > b[i]: - return 1 - else: - if a[i] > b[i]: - return -1 - elif a[i] < b[i]: - return 1 - return 0 - -def sort_books(n: int, m: int, books: List[str]) -> List[int]: - indices = list(range(1, n+1)) - indices.sort(key=lambda x: books[x-1]) - indices.sort(key=lambda x: books[x-1], reverse=True) - return indices - -if __name__ == "__main__": - n, m, books = read_input() - indices = sort_books(n, m, books) - print(*indices) -2024-01-02 15:29:24.111 | INFO | alpha_codium.gen.coding_competitor:solve_problem:145 - evaluating solution on public tests... -2024-01-02 15:29:28.826 | INFO | alpha_codium.gen.coding_competitor:solve_problem:152 - evaluating solution on private tests... -2024-01-02 15:29:28.827 | INFO | alpha_codium.gen.coding_competitor:solve_problem:158 - evaluating solution on generated tests... -2024-01-02 15:29:33.693 | INFO | alpha_codium.gen.coding_competitor:solve_problem:162 - -test_passed_generate: 117, test_passed_private: 0, test_passed_public: 0 -test_failed_generate: 83, test_failed_private: 0, test_failed_public: 1 -test_timeout_generate: 0, test_timeout_private: 0, test_timeout_public: 0 diff --git a/alpha_codium/gen/stages/debug.py b/alpha_codium/gen/stages/debug.py index c0cc61d..474991f 100644 --- a/alpha_codium/gen/stages/debug.py +++ b/alpha_codium/gen/stages/debug.py @@ -14,8 +14,8 @@ class FunctionCall(BaseModel): function: str - input: Optional[Any] = None - output: Optional[Any] = None + input: Any = None + output: Any = None exception: Optional[str] = None calls: List['FunctionCall'] = [] @@ -60,7 +60,10 @@ def exec_code(code, inp): candidate_module = types.ModuleType("code_module") #TODO What if the code has syntax error? - exec(code, candidate_module.__dict__) + try: + exec(code, candidate_module.__dict__) + except Exception as e: + return e, None, None call_stack = [] # Step 2: Apply logging decorator to all functions in the candidate module @@ -86,11 +89,10 @@ def custom_print(*args, **kwargs): candidate_module.__dict__['print'] = custom_print try: - candidate_module.main() # Call the main function with the overridden input + candidate_module.main() except Exception as e: print(e) finally: pass #__builtins__.input = original_input # Restore the original input function - return call_stack[0], ''.join(captured_outputs) - + return None, call_stack[0], ''.join(captured_outputs) diff --git a/alpha_codium/gen/stages/run_public_tests.py b/alpha_codium/gen/stages/run_public_tests.py index 35e7c69..da3df92 100644 --- a/alpha_codium/gen/stages/run_public_tests.py +++ b/alpha_codium/gen/stages/run_public_tests.py @@ -11,7 +11,7 @@ logger = get_logger(__name__) -def custom_function_call_representer(dumper, obj): +def function_call_representer(dumper, obj): # Directly creating a representation dictionary including all fields # without filtering out None values, focusing on 'output' serialization @@ -20,15 +20,19 @@ def custom_function_call_representer(dumper, obj): node = { 'function': obj.function, - 'input': inpp, + 'input': repr(inpp) if inpp != None else None, # Serializing 'output' using its __repr__(), ensuring it's a string in the YAML - 'output': repr(obj.output), - 'exception': repr(obj.exception), + 'output': obj.output if obj.output != None else None, + 'exception': repr(obj.exception) if obj.exception != None else None, 'calls': obj.calls, } return dumper.represent_dict(node.items()) -yaml.add_representer(FunctionCall, custom_function_call_representer) +def string_representer(dumper, data): + return dumper.represent_scalar('tag:yaml.org,2002:str', data, style='|') + +yaml.add_representer(FunctionCall, function_call_representer) +yaml.add_representer(str, string_representer) max_iter = 10 async def run_public_tests(self, problem): @@ -39,16 +43,16 @@ async def run_public_tests(self, problem): inputs = problem['public_tests']['input'] outputs = problem['public_tests']['output'] success_n = 0 - for i, (inp, outp) in enumerate(zip(inputs,outputs)): + for _, (inp, outp) in enumerate(zip(inputs,outputs)): for iter in range(max_iter): - success = True - callstack, output = exec_code(problem['code'], inp) + global_excep, callstack, output = exec_code(problem['code'], inp) problem['test_input'] = inp problem['test_output'] = outp - problem['output'] = output - problem['callstack_str'] = yaml.dump(callstack, allow_unicode=True, default_flow_style=False) + problem['output'] = output or "" + problem['global_excep'] = repr(global_excep) if global_excep else "" + problem['callstack_str'] = yaml.dump(callstack, allow_unicode=True, default_flow_style=False) if callstack else "" - if output.strip() != outp.strip(): + if output == None or (output.strip() != outp.strip()): logger.info(f"Failed to pass the test after {iter+1} attempts, the output is incorrect.") if iter == max_iter - 1: logger.info(f"Giving up.") @@ -60,7 +64,6 @@ async def run_public_tests(self, problem): f = functools.partial(self._run, problem=problem, prompt="code_contests_prompts_fix_code") fixed_code, _ = await send_inference(f) - #TODO What if the code has syntax error? fixed_code = fixed_code.rstrip("` \n") if fixed_code.startswith("```python"): @@ -82,4 +85,4 @@ async def run_public_tests(self, problem): logging.error(f"'tests' stage, counter_retry {counter_retry}, Error: {e}") counter_retry += 1 if counter_retry > 2: - raise e \ No newline at end of file + raise e diff --git a/alpha_codium/settings/code_contests_prompts_debug.toml b/alpha_codium/settings/code_contests_prompts_debug.toml index 2bfb36a..70d3f40 100644 --- a/alpha_codium/settings/code_contests_prompts_debug.toml +++ b/alpha_codium/settings/code_contests_prompts_debug.toml @@ -21,7 +21,7 @@ and an Algorithm for the problem: {{ s_best_solution_str|trim }} ============= -The code below is an implementation of the algorithm. But run on test input, its output is wrong. +The code below is an implementation of the algorithm. But run on test input, its output is wrong or there is an error. Your task is to study the debug information of the call stack, and to answer these questions: - Is the output formatting correct? (per problem description) For each function call (per function comments): @@ -48,10 +48,14 @@ Test output: Code output: ==================== -{{output|trim}} +{%- if output %} +{{ output }} +{%- endif %} ==================== + Call stack: =================== +{{global_excep|trim}} {{callstack_str|trim}} =================== @@ -70,9 +74,10 @@ class FunctionCall(BaseModel): calls: Optional[List['FunctionCall']] = [] class DebugAnalysis(BaseModel): - output_formatting_correct: bool = Field(description="Whether the overall output formatting is correct per problem description.") - incorrect_output_formatting: Optional[str] = Field(default="", description="short explanation why the output is not correctly formatted?") - function_calls: FunctionCall = Field(description="Analysis of each function call in the call stack.") + output_formatting_correct: Optional[bool] = Field(description="Only if an output is generated, whether the overall output formatting is correct per problem description.") + incorrect_output_formatting: Optional[str] = Field(description="If an output is generated in incorrect format, short explanation why?") + global_excep_cause: Optional[str] = Field(description="In case of a global exception, short explanation of its cause.") + function_calls: Optional[FunctionCall] = Field(description="Analysis of each function call in the call stack.") additional_comments: str = Field(default="", description="Any additional comments or observations not covered by the function call analyses.") ================ @@ -81,35 +86,41 @@ Guidelines: - Double-check each function call, its input, output per function comments. - Notice that the cause of incorrect return value or an exception can be other functions that this function calls -Example YAML output: +I need a response in YAML format, where each section's content is properly indented and includes multiline strings with the block scalar indicator ('|'), +per following example: + ```yaml -output_formatting_correct: ... +output_formatting_correct: | + ... +incorrect_output_formatting: | + ... +global_excep_cause: | + ... function_calls: - function: | - ... - input: | - ... - valid_input: | - ... - invalid_input_cause: | - ... - return_value: | - ... - correct_return_value: | - ... - incorrect_return_value: | - ... - exception: | - ... - exception_cause: | - ... - calls: - - ... - ... + - function: | + ... + input: | + ... + valid_input: | + ... + invalid_input_cause: | + ... + return_value: | + ... + correct_return_value: | + ... + incorrect_return_value: | + ... + exception: | + ... + exception_cause: | + ... + calls: + - ... additional_comments: | ... - +``` Answer: ```yaml -""" \ No newline at end of file +"""