Format code with black
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@ -33,7 +33,9 @@ print(
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)
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)
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classifier = gptc.Classifier(gptc.compile(raw_model, max_ngram_length), max_ngram_length)
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classifier = gptc.Classifier(
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gptc.compile(raw_model, max_ngram_length), max_ngram_length
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)
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print(
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print(
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"Average classification time over",
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"Average classification time over",
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classify_iterations,
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classify_iterations,
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@ -6,19 +6,34 @@ import json
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import sys
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import sys
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import gptc
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import gptc
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def main():
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def main():
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parser = argparse.ArgumentParser(
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parser = argparse.ArgumentParser(
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description="General Purpose Text Classifier", prog="gptc"
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description="General Purpose Text Classifier", prog="gptc"
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)
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)
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subparsers = parser.add_subparsers(dest="subparser_name", required=True)
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subparsers = parser.add_subparsers(dest="subparser_name", required=True)
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compile_parser = subparsers.add_parser("compile", help="compile a raw model")
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compile_parser = subparsers.add_parser(
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"compile", help="compile a raw model"
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)
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compile_parser.add_argument("model", help="raw model to compile")
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compile_parser.add_argument("model", help="raw model to compile")
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compile_parser.add_argument("--max-ngram-length", "-n", help="maximum ngram length", type=int, default=1)
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compile_parser.add_argument(
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"--max-ngram-length",
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"-n",
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help="maximum ngram length",
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type=int,
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default=1,
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)
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classify_parser = subparsers.add_parser("classify", help="classify text")
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classify_parser = subparsers.add_parser("classify", help="classify text")
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classify_parser.add_argument("model", help="compiled model to use")
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classify_parser.add_argument("model", help="compiled model to use")
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classify_parser.add_argument("--max-ngram-length", "-n", help="maximum ngram length", type=int, default=1)
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classify_parser.add_argument(
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"--max-ngram-length",
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"-n",
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help="maximum ngram length",
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type=int,
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default=1,
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)
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group = classify_parser.add_mutually_exclusive_group()
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group = classify_parser.add_mutually_exclusive_group()
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group.add_argument(
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group.add_argument(
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"-j",
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"-j",
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