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https://github.com/mii443/tokenizers.git
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60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
import pytest
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from ..utils import data_dir, openai_files, multiprocessing_with_parallelism
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from tokenizers import CharBPETokenizer
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class TestBertWordPieceBPE:
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def test_basic_encode(self, openai_files):
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tokenizer = CharBPETokenizer.from_files(
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openai_files["vocab"], openai_files["merges"]
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)
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output = tokenizer.encode("My name is John", "pair")
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assert output.ids == [0, 253, 1362, 544, 0, 7, 12662, 2688]
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assert output.tokens == [
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"<unk>",
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"y</w>",
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"name</w>",
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"is</w>",
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"<unk>",
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"o",
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"hn</w>",
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"pair</w>",
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]
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assert output.offsets == [
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(0, 1),
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(1, 2),
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(3, 7),
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(8, 10),
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(11, 12),
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(12, 13),
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(13, 15),
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(0, 4),
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]
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assert output.type_ids == [0, 0, 0, 0, 0, 0, 0, 1]
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def test_lowercase(self, openai_files):
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tokenizer = CharBPETokenizer.from_files(
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openai_files["vocab"], openai_files["merges"], lowercase=True
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)
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output = tokenizer.encode("My name is John", "pair", add_special_tokens=False)
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assert output.ids == [547, 1362, 544, 2476, 2688]
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assert output.tokens == ["my</w>", "name</w>", "is</w>", "john</w>", "pair</w>"]
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assert output.offsets == [(0, 2), (3, 7), (8, 10), (11, 15), (0, 4)]
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assert output.type_ids == [0, 0, 0, 0, 1]
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def test_decoding(self, openai_files):
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tokenizer = CharBPETokenizer.from_files(
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openai_files["vocab"], openai_files["merges"], lowercase=True
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)
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decoded = tokenizer.decode(tokenizer.encode("my name is john").ids)
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assert decoded == "my name is john"
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def test_multiprocessing_with_parallelism(self, openai_files):
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tokenizer = CharBPETokenizer.from_files(
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openai_files["vocab"], openai_files["merges"]
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)
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multiprocessing_with_parallelism(tokenizer, False)
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multiprocessing_with_parallelism(tokenizer, True)
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