2021-01-06 14:58:29 +01:00
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from . import error
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2020-12-29 20:33:59 +01:00
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from .data import datasets
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2020-12-03 18:12:28 +01:00
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from . import functional
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from . import method
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2021-01-06 14:58:29 +01:00
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from . import data
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2020-12-10 19:04:33 +01:00
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from . import evaluation
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2020-12-29 20:33:59 +01:00
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from method.aggregative import isaggregative, isprobabilistic
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environ = {
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'SAMPLE_SIZE': None,
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'UNK_TOKEN': '[UNK]',
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'UNK_INDEX': 0,
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'PAD_TOKEN': '[PAD]',
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'PAD_INDEX': 1,
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}
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def isbinary(x):
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return data.isbinary(x) or method.aggregative.isbinary(x)
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