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Fasmifra 210 #26786

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opam-version: "2.0"
authors: "Francois Berenger"
maintainer: "unixjunkie@sdf.org"
homepage: "https://github.com/UnixJunkie/FASMIFRA"
bug-reports: "https://github.com/UnixJunkie/FASMIFRA/issues"
dev-repo: "git+https://github.com/UnixJunkie/FASMIFRA.git"
license: "GPL-3.0-or-later"
build: ["dune" "build" "-p" name "-j" jobs]
install: [
["cp" "bin/fasmifra_fragment.py" "%{bin}%/fasmifra_fragment.py"]
["cp" "bin/fasmifra_rm_cut_bonds.sh" "%{bin}%/fasmifra_rm_cut_bonds.sh"]
["cp" "bin/fasmifra_frag_dict.py" "%{bin}%/fasmifra_frag_dict.py"]
["cp" "bin/fasmifra_GA.sh" "%{bin}%/fasmifra_GA.sh"]
]
depends: [
"base-unix"
"batteries" {>= "3.3.0"}
"dolog" {>= "6.0.0"}
"dune" {>= "1.11"}
"minicli" {>= "5.0.0"}
"ocaml" {>= "5.0.0"}
"line_oriented" {>= "1.0.0"}
"conf-rdkit" {>= "1"}
"conf-python-3" {>= "1.0.0"}
]
synopsis: "Molecular Generation by Fast Assembly of SMILES Fragments"
description: """
Generate molecules fast given a molecular training set.

Properties of the generated molecules might significantly match
those of the training set (training set distribution matching).

Bibliography:
=============

Berenger, F., & Tsuda, K. (2021).
Molecular generation by Fast Assembly of (Deep) SMILES fragments.
Journal of Cheminformatics, 13(1), 1-10.
https://doi.org/10.1186/s13321-021-00566-4
"""
url {
src:
"https://github.com/UnixJunkie/FASMIFRA/archive/refs/tags/v2.1.0.tar.gz"
checksum: [
"sha256=ea3c1a2566069096ede8ee4720dbea3261f797a1002c2557f3dd7ec30e6a45ce"
]
}
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