diff --git a/bin/create_csv_vectors_file.py b/bin/create_csv_vectors_file.py index 17d96e2..944668d 100644 --- a/bin/create_csv_vectors_file.py +++ b/bin/create_csv_vectors_file.py @@ -4,9 +4,9 @@ import argparse from sys import argv -from pymatgen.core import Element +from pymatgen.core import Element, Species -from skipatom import SkipAtomInducedModel, SkipAtomModel +from skipatom import SkipAtomInducedModel, SkipAtomModel, SkipSpeciesInducedModel """ e.g. @@ -43,6 +43,9 @@ parser.add_argument( "--induced", action="store_true", help="whether to use induced SkipAtom vectors" ) + parser.add_argument( + "--skipspecies", action="store_true", help="whether to use SkipSpecies vectors" + ) parser.add_argument( "--min-count", required=("induced" in argv), @@ -59,24 +62,45 @@ args = parser.parse_args() if args.induced: - model = SkipAtomInducedModel.load( - args.model, args.data, min_count=args.min_count, top_n=args.top_n - ) + if args.skipspecies: + model = SkipSpeciesInducedModel.load( + args.model, args.data, min_count=args.min_count, top_n=args.top_n + ) + else: + model = SkipAtomInducedModel.load( + args.model, args.data, min_count=args.min_count, top_n=args.top_n + ) else: model = SkipAtomModel.load(args.model, args.data) - sorted_elems = sorted( - [(e, Element(e).number) for e in model.dictionary], key=lambda v: v[1] - ) + if args.skipspecies: + sorted_specs = sorted( + [(s, Species.from_string(s).number) for s in model.dictionary], + key=lambda v: v[1], + ) + else: + sorted_elems = sorted( + [(e, Element(e).number) for e in model.dictionary], key=lambda v: v[1] + ) dim = len(model.vectors[0]) with open(args.out, "w") as f: - header = ["element"] - header.extend([str(i) for i in range(dim)]) - f.write("%s\n" % ",".join(header)) - for elem, _ in sorted_elems: - vec = model.vectors[model.dictionary[elem]].tolist() - row = [elem] - row.extend([str(v) for v in vec]) - f.write("%s\n" % ",".join(row)) + if args.skipspecies: + header = ["species"] + header.extend([str(i) for i in range(dim)]) + f.write("%s\n" % ",".join(header)) + for spec, _ in sorted_specs: + vec = model.vectors[model.dictionary[spec]].tolist() + row = [spec] + row.extend([str(v) for v in vec]) + f.write("%s\n" % ",".join(row)) + else: + header = ["element"] + header.extend([str(i) for i in range(dim)]) + f.write("%s\n" % ",".join(header)) + for elem, _ in sorted_elems: + vec = model.vectors[model.dictionary[elem]].tolist() + row = [elem] + row.extend([str(v) for v in vec]) + f.write("%s\n" % ",".join(row)) diff --git a/data/skipspecies_20221028.csv b/data/skipspecies_20221028.csv new file mode 100644 index 0000000..2f54612 --- /dev/null +++ b/data/skipspecies_20221028.csv @@ -0,0 +1,261 @@ 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diff --git a/data/skipspecies_20221028_induced.csv b/data/skipspecies_20221028_induced.csv index 0e2a6c9..eb21833 100644 --- a/data/skipspecies_20221028_induced.csv +++ b/data/skipspecies_20221028_induced.csv @@ -1,261 +1,261 @@ species,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199 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