


"""simple docstring"""




import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english

@require_tokenizers
class     a		(__lowerCAmelCase					,    unittest.TestCase				):




							"""simple docstring"""


							__UpperCAmelCase   :							List[str]					  =  BertTokenizer
							__UpperCAmelCase   :							List[str]					  =  BertTokenizerFast
							__UpperCAmelCase   :							Union[str, Any]					  =  True
							__UpperCAmelCase   :							Dict					  =  True
							__UpperCAmelCase   :							str					  =  filter_non_english

							def    __snake_case (							self	:  str    )     ->   Optional[Any]:
														super().setUp()

														__snake_case		:      str										=       [
														    "[UNK]",
														    "[CLS]",
														    "[SEP]",
														    "[PAD]",
														    "[MASK]",
														    "want",
														    "##want",
														    "##ed",
														    "wa",
														    "un",
														    "runn",
														    "##ing",
														    ",",
														    "low",
														    "lowest",
														]
														__snake_case		:      Optional[int]										=       os.path.join(self.tmpdirname   ,     VOCAB_FILES_NAMES["vocab_file"]    )
														with open(self.vocab_file   ,     "w"   ,     encoding="utf-8"    ) as vocab_writer:
																					vocab_writer.write("".join([x + "\n" for x in vocab_tokens]    )    )

							def    __snake_case (							self	:  int   ,     lowerCamelCase	:  Any    )     ->   Tuple:
														__snake_case		:      Tuple										=       "UNwant\u00E9d,running"
														__snake_case		:      str										=       "unwanted, running"
														return input_text, output_text

							def    __snake_case (							self	:  Optional[Any]    )     ->   int:
														__snake_case		:      int										=       self.tokenizer_class(self.vocab_file    )

														__snake_case		:      Any										=       tokenizer.tokenize("UNwant\u00E9d,running"    )
														self.assertListEqual(lowerCAmelCase_   ,     ["un", "##want", "##ed", ",", "runn", "##ing"]    )
														self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_    )   ,     [9, 6, 7, 12, 10, 11]    )

							def    __snake_case (							self	:  List[Any]    )     ->   List[Any]:
														if not self.test_rust_tokenizer:
																					return

														__snake_case		:      Union[str, Any]										=       self.get_tokenizer()
														__snake_case		:      List[str]										=       self.get_rust_tokenizer()

														__snake_case		:      int										=       "UNwant\u00E9d,running"

														__snake_case		:      Optional[Any]										=       tokenizer.tokenize(lowerCAmelCase_    )
														__snake_case		:      Dict										=       rust_tokenizer.tokenize(lowerCAmelCase_    )
														self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )

														__snake_case		:      Any										=       tokenizer.encode(lowerCAmelCase_   ,     add_special_tokens=lowerCAmelCase_    )
														__snake_case		:      Union[str, Any]										=       rust_tokenizer.encode(lowerCAmelCase_   ,     add_special_tokens=lowerCAmelCase_    )
														self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )

														__snake_case		:      Tuple										=       self.get_rust_tokenizer()
														__snake_case		:      str										=       tokenizer.encode(lowerCAmelCase_    )
														__snake_case		:      Any										=       rust_tokenizer.encode(lowerCAmelCase_    )
														self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )

														# With lower casing
														__snake_case		:      Optional[int]										=       self.get_tokenizer(do_lower_case=lowerCAmelCase_    )
														__snake_case		:      Union[str, Any]										=       self.get_rust_tokenizer(do_lower_case=lowerCAmelCase_    )

														__snake_case		:      Optional[Any]										=       "UNwant\u00E9d,running"

														__snake_case		:      List[Any]										=       tokenizer.tokenize(lowerCAmelCase_    )
														__snake_case		:      Dict										=       rust_tokenizer.tokenize(lowerCAmelCase_    )
														self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )

														__snake_case		:      Dict										=       tokenizer.encode(lowerCAmelCase_   ,     add_special_tokens=lowerCAmelCase_    )
														__snake_case		:      int										=       rust_tokenizer.encode(lowerCAmelCase_   ,     add_special_tokens=lowerCAmelCase_    )
														self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )

														__snake_case		:      Dict										=       self.get_rust_tokenizer()
														__snake_case		:      Optional[int]										=       tokenizer.encode(lowerCAmelCase_    )
														__snake_case		:      Union[str, Any]										=       rust_tokenizer.encode(lowerCAmelCase_    )
														self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )

							def    __snake_case (							self	:  Optional[int]    )     ->   Tuple:
														__snake_case		:      Tuple										=       BasicTokenizer()

														self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"    )   ,     ["ah", "\u535A", "\u63A8", "zz"]    )

							def    __snake_case (							self	:  List[Any]    )     ->   Union[str, Any]:
														__snake_case		:      str										=       BasicTokenizer(do_lower_case=lowerCAmelCase_    )

														self.assertListEqual(
														    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "    )   ,     ["hello", "!", "how", "are", "you", "?"]    )
														self.assertListEqual(tokenizer.tokenize("H\u00E9llo"    )   ,     ["hello"]    )

							def    __snake_case (							self	:  str    )     ->   Optional[int]:
														__snake_case		:      Dict										=       BasicTokenizer(do_lower_case=lowerCAmelCase_   ,     strip_accents=lowerCAmelCase_    )

														self.assertListEqual(
														    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )   ,     ["hällo", "!", "how", "are", "you", "?"]    )
														self.assertListEqual(tokenizer.tokenize("H\u00E9llo"    )   ,     ["h\u00E9llo"]    )

							def    __snake_case (							self	:  Dict    )     ->   str:
														__snake_case		:      List[str]										=       BasicTokenizer(do_lower_case=lowerCAmelCase_   ,     strip_accents=lowerCAmelCase_    )

														self.assertListEqual(
														    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )   ,     ["hallo", "!", "how", "are", "you", "?"]    )
														self.assertListEqual(tokenizer.tokenize("H\u00E9llo"    )   ,     ["hello"]    )

							def    __snake_case (							self	:  List[Any]    )     ->   Union[str, Any]:
														__snake_case		:      Optional[int]										=       BasicTokenizer(do_lower_case=lowerCAmelCase_    )

														self.assertListEqual(
														    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )   ,     ["hallo", "!", "how", "are", "you", "?"]    )
														self.assertListEqual(tokenizer.tokenize("H\u00E9llo"    )   ,     ["hello"]    )

							def    __snake_case (							self	:  Tuple    )     ->   List[str]:
														__snake_case		:      Tuple										=       BasicTokenizer(do_lower_case=lowerCAmelCase_    )

														self.assertListEqual(
														    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "    )   ,     ["HeLLo", "!", "how", "Are", "yoU", "?"]    )

							def    __snake_case (							self	:  Dict    )     ->   Optional[int]:
														__snake_case		:      List[Any]										=       BasicTokenizer(do_lower_case=lowerCAmelCase_   ,     strip_accents=lowerCAmelCase_    )

														self.assertListEqual(
														    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )   ,     ["HäLLo", "!", "how", "Are", "yoU", "?"]    )

							def    __snake_case (							self	:  Union[str, Any]    )     ->   Dict:
														__snake_case		:      List[str]										=       BasicTokenizer(do_lower_case=lowerCAmelCase_   ,     strip_accents=lowerCAmelCase_    )

														self.assertListEqual(
														    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )   ,     ["HaLLo", "!", "how", "Are", "yoU", "?"]    )

							def    __snake_case (							self	:  Optional[Any]    )     ->   Dict:
														__snake_case		:      Any										=       BasicTokenizer(do_lower_case=lowerCAmelCase_   ,     never_split=["[UNK]"]    )

														self.assertListEqual(
														    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"    )   ,     ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]    )

							def    __snake_case (							self	:  Union[str, Any]    )     ->   Any:
														__snake_case		:      str										=       BasicTokenizer()
														__snake_case		:      List[str]										=       "a\n'll !!to?'d of, can't."
														__snake_case		:      Optional[int]										=       ["a", "'", "ll", "!", "!", "to", "?", "'", "d", "of", ",", "can", "'", "t", "."]
														self.assertListEqual(tokenizer.tokenize(lowerCAmelCase_    )   ,     lowerCAmelCase_    )

							def    __snake_case (							self	:  str    )     ->   Tuple:
														__snake_case		:      Optional[int]										=       ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

														__snake_case		:      Optional[Any]										=       {}
														for i, token in enumerate(lowerCAmelCase_    ):
																					__snake_case		:      Dict										=       i
														__snake_case		:      Union[str, Any]										=       WordpieceTokenizer(vocab=lowerCAmelCase_   ,     unk_token="[UNK]"    )

														self.assertListEqual(tokenizer.tokenize(""    )   ,     []    )

														self.assertListEqual(tokenizer.tokenize("unwanted running"    )   ,     ["un", "##want", "##ed", "runn", "##ing"]    )

														self.assertListEqual(tokenizer.tokenize("unwantedX running"    )   ,     ["[UNK]", "runn", "##ing"]    )

							def    __snake_case (							self	:  Optional[Any]    )     ->   str:
														self.assertTrue(_is_whitespace(" "    )    )
														self.assertTrue(_is_whitespace("\t"    )    )
														self.assertTrue(_is_whitespace("\r"    )    )
														self.assertTrue(_is_whitespace("\n"    )    )
														self.assertTrue(_is_whitespace("\u00A0"    )    )

														self.assertFalse(_is_whitespace("A"    )    )
														self.assertFalse(_is_whitespace("-"    )    )

							def    __snake_case (							self	:  Tuple    )     ->   Tuple:
														self.assertTrue(_is_control("\u0005"    )    )

														self.assertFalse(_is_control("A"    )    )
														self.assertFalse(_is_control(" "    )    )
														self.assertFalse(_is_control("\t"    )    )
														self.assertFalse(_is_control("\r"    )    )

							def    __snake_case (							self	:  str    )     ->   int:
														self.assertTrue(_is_punctuation("-"    )    )
														self.assertTrue(_is_punctuation("$"    )    )
														self.assertTrue(_is_punctuation("`"    )    )
														self.assertTrue(_is_punctuation("."    )    )

														self.assertFalse(_is_punctuation("A"    )    )
														self.assertFalse(_is_punctuation(" "    )    )

							def    __snake_case (							self	:  Dict    )     ->   Tuple:
														__snake_case		:      int										=       self.get_tokenizer()
														__snake_case		:      Any										=       self.get_rust_tokenizer()

														# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
														self.assertListEqual([tokenizer.tokenize(lowerCAmelCase_    ) for t in ["Test", "\xad", "test"]]   ,     [["[UNK]"], [], ["[UNK]"]]    )

														self.assertListEqual(
														    [rust_tokenizer.tokenize(lowerCAmelCase_    ) for t in ["Test", "\xad", "test"]]   ,     [["[UNK]"], [], ["[UNK]"]]    )

							@slow
							def    __snake_case (							self	:  List[str]    )     ->   Any:
														__snake_case		:      str										=       self.tokenizer_class.from_pretrained("bert-base-uncased"    )

														__snake_case		:      Tuple										=       tokenizer.encode("sequence builders"   ,     add_special_tokens=lowerCAmelCase_    )
														__snake_case		:      Dict										=       tokenizer.encode("multi-sequence build"   ,     add_special_tokens=lowerCAmelCase_    )

														__snake_case		:      Tuple										=       tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_    )
														__snake_case		:      Union[str, Any]										=       tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_   ,     lowerCAmelCase_    )

														assert encoded_sentence == [101] + text + [102]
														assert encoded_pair == [101] + text + [102] + text_a + [102]

							def    __snake_case (							self	:  List[str]    )     ->   List[Any]:
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'    ):
																												__snake_case		:      int										=       self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_   ,     **lowerCAmelCase_    )

																												__snake_case		:      List[Any]										=       F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
																												__snake_case		:      Optional[int]										=       tokenizer_r.encode_plus(
																												    lowerCAmelCase_   ,     return_attention_mask=lowerCAmelCase_   ,     return_token_type_ids=lowerCAmelCase_   ,     return_offsets_mapping=lowerCAmelCase_   ,     add_special_tokens=lowerCAmelCase_   ,     )

																												__snake_case		:      Any										=       tokenizer_r.do_lower_case if hasattr(lowerCAmelCase_   ,     "do_lower_case"    ) else False
																												__snake_case		:      Dict										=       (
																												    [
																												        ((0, 0), tokenizer_r.cls_token),
																												        ((0, 1), "A"),
																												        ((1, 2), ","),
																												        ((3, 5), "na"),
																												        ((5, 6), "##ï"),
																												        ((6, 8), "##ve"),
																												        ((9, 15), tokenizer_r.mask_token),
																												        ((16, 21), "Allen"),
																												        ((21, 23), "##NL"),
																												        ((23, 24), "##P"),
																												        ((25, 33), "sentence"),
																												        ((33, 34), "."),
																												        ((0, 0), tokenizer_r.sep_token),
																												    ]
																												    if not do_lower_case
																												    else [
																												        ((0, 0), tokenizer_r.cls_token),
																												        ((0, 1), "a"),
																												        ((1, 2), ","),
																												        ((3, 8), "naive"),
																												        ((9, 15), tokenizer_r.mask_token),
																												        ((16, 21), "allen"),
																												        ((21, 23), "##nl"),
																												        ((23, 24), "##p"),
																												        ((25, 33), "sentence"),
																												        ((33, 34), "."),
																												        ((0, 0), tokenizer_r.sep_token),
																												    ]
																												)

																												self.assertEqual(
																												    [e[1] for e in expected_results]   ,     tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]    )    )
																												self.assertEqual([e[0] for e in expected_results]   ,     tokens["offset_mapping"]    )






							def    __snake_case (							self	:  Optional[Any]    )     ->   Optional[Any]:
														__snake_case		:      Tuple										=       ["的", "人", "有"]
														__snake_case		:      List[str]										=       "".join(lowerCAmelCase_    )
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'    ):
																												__snake_case		:      List[Any]										=       True
																												__snake_case		:      Optional[Any]										=       self.tokenizer_class.from_pretrained(lowerCAmelCase_   ,     **lowerCAmelCase_    )
																												__snake_case		:      List[str]										=       self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_   ,     **lowerCAmelCase_    )

																												__snake_case		:      Any										=       tokenizer_p.encode(lowerCAmelCase_   ,     add_special_tokens=lowerCAmelCase_    )
																												__snake_case		:      int										=       tokenizer_r.encode(lowerCAmelCase_   ,     add_special_tokens=lowerCAmelCase_    )

																												__snake_case		:      int										=       tokenizer_r.convert_ids_to_tokens(lowerCAmelCase_    )
																												__snake_case		:      Optional[int]										=       tokenizer_p.convert_ids_to_tokens(lowerCAmelCase_    )

																												# it is expected that each Chinese character is not preceded by "##"
																												self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )
																												self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )

																												__snake_case		:      Optional[int]										=       False
																												__snake_case		:      Optional[int]										=       self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_   ,     **lowerCAmelCase_    )
																												__snake_case		:      str										=       self.tokenizer_class.from_pretrained(lowerCAmelCase_   ,     **lowerCAmelCase_    )

																												__snake_case		:      List[str]										=       tokenizer_r.encode(lowerCAmelCase_   ,     add_special_tokens=lowerCAmelCase_    )
																												__snake_case		:      List[str]										=       tokenizer_p.encode(lowerCAmelCase_   ,     add_special_tokens=lowerCAmelCase_    )

																												__snake_case		:      int										=       tokenizer_r.convert_ids_to_tokens(lowerCAmelCase_    )
																												__snake_case		:      Any										=       tokenizer_p.convert_ids_to_tokens(lowerCAmelCase_    )

																												# it is expected that only the first Chinese character is not preceded by "##".
																												__snake_case		:      int										=       [
																												    F'##{token}' if idx != 0 else token for idx, token in enumerate(lowerCAmelCase_    )
																												]
																												self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )
																												self.assertListEqual(lowerCAmelCase_   ,     lowerCAmelCase_    )





import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


_snake_case					:		List[str]      =    namedtuple(
    "_TestCommandArgs",
    [
        "dataset",
        "name",
        "cache_dir",
        "data_dir",
        "all_configs",
        "save_infos",
        "ignore_verifications",
        "force_redownload",
        "clear_cache",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)







def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase     ):
							return (abs(source - target     ) / target) < 0.0_1







@pytest.mark.integration
def     lowerCAmelCase_					( __lowerCamelCase     ):
							__snake_case		:      Tuple										=       _TestCommandArgs(dataset=__lowerCamelCase							,     all_configs=__lowerCamelCase							,     save_infos=__lowerCamelCase     )
							__snake_case		:      List[Any]										=       TestCommand(*__lowerCamelCase     )
							test_command.run()
							__snake_case		:      List[Any]										=       os.path.join(__lowerCamelCase							,     "README.md"     )
							assert os.path.exists(__lowerCamelCase     )
							__snake_case		:      Optional[Any]										=       DatasetInfosDict.from_directory(__lowerCamelCase     )
							__snake_case		:      List[str]										=       DatasetInfosDict(
							    {
							        "default": DatasetInfo(
							            features=Features(
							                {
							                    "tokens": Sequence(Value("string"     )     ),
							                    "ner_tags": Sequence(
							                        ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]     )     ),
							                    "langs": Sequence(Value("string"     )     ),
							                    "spans": Sequence(Value("string"     )     ),
							                }     )							,     splits=[
							                {
							                    "name": "train",
							                    "num_bytes": 2_3_5_1_5_6_3,
							                    "num_examples": 1_0_0_0_0,
							                },
							                {
							                    "name": "validation",
							                    "num_bytes": 2_3_8_4_1_8,
							                    "num_examples": 1_0_0_0,
							                },
							            ]							,     download_size=3_9_4_0_6_8_0							,     dataset_size=2_5_8_9_9_8_1							,     )
							    }     )
							assert dataset_infos.keys() == expected_dataset_infos.keys()
							for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
														__snake_case			,      __snake_case		:      Tuple										=       getattr(dataset_infos["default"]							,     __lowerCamelCase     ), getattr(expected_dataset_infos["default"]							,     __lowerCamelCase     )
														if key == "num_bytes":
																					assert is_apercent_close(__lowerCamelCase							,     __lowerCamelCase     )
														elif key == "splits":
																					assert list(__lowerCamelCase     ) == list(__lowerCamelCase     )
																					for split in result:
																												assert result[split].name == expected[split].name
																												assert result[split].num_examples == expected[split].num_examples
																												assert is_apercent_close(result[split].num_bytes							,     expected[split].num_bytes     )
														else:
																					result == expected

