




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 		UpperCAmelCase   (				SCREAMING_SNAKE_CASE_       ,   unittest.TestCase			):







						'''simple docstring'''





						lowerCAmelCase_     		=   BertTokenizer
						lowerCAmelCase_     		=   BertTokenizerFast
						lowerCAmelCase_     		=   True
						lowerCAmelCase_     		=   True
						lowerCAmelCase_     		=   filter_non_english






						def        snake_case__						(						self							:     Any						):






							"""simple docstring"""






							super().setUp()

							snake_case_		    =     [
							    '[UNK]',
							    '[CLS]',
							    '[SEP]',
							    '[PAD]',
							    '[MASK]',
							    'want',
							    '##want',
							    '##ed',
							    'wa',
							    'un',
							    'runn',
							    '##ing',
							    ',',
							    'low',
							    'lowest',
							]
							snake_case_		    =     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							:     Union[str, Any]       ,	__lowercase							:     Any						):






							"""simple docstring"""






							snake_case_		    =     'UNwant\u00E9d,running'
							snake_case_		    =     'unwanted, running'
							return input_text, output_text






						def        snake_case__						(						self							:     str						):






							"""simple docstring"""






							snake_case_		    =     self.tokenizer_class(self.vocab_file						)

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






						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							if not self.test_rust_tokenizer:
								return

							snake_case_		    =     self.get_tokenizer()
							snake_case_		    =     self.get_rust_tokenizer()

							snake_case_		    =     'UNwant\u00E9d,running'

							snake_case_		    =     tokenizer.tokenize(_a						)
							snake_case_		    =     rust_tokenizer.tokenize(_a						)
							self.assertListEqual(_a       ,	_a						)

							snake_case_		    =     tokenizer.encode(_a       ,	add_special_tokens=_a						)
							snake_case_		    =     rust_tokenizer.encode(_a       ,	add_special_tokens=_a						)
							self.assertListEqual(_a       ,	_a						)

							snake_case_		    =     self.get_rust_tokenizer()
							snake_case_		    =     tokenizer.encode(_a						)
							snake_case_		    =     rust_tokenizer.encode(_a						)
							self.assertListEqual(_a       ,	_a						)

							# With lower casing
							snake_case_		    =     self.get_tokenizer(do_lower_case=_a						)
							snake_case_		    =     self.get_rust_tokenizer(do_lower_case=_a						)

							snake_case_		    =     'UNwant\u00E9d,running'

							snake_case_		    =     tokenizer.tokenize(_a						)
							snake_case_		    =     rust_tokenizer.tokenize(_a						)
							self.assertListEqual(_a       ,	_a						)

							snake_case_		    =     tokenizer.encode(_a       ,	add_special_tokens=_a						)
							snake_case_		    =     rust_tokenizer.encode(_a       ,	add_special_tokens=_a						)
							self.assertListEqual(_a       ,	_a						)

							snake_case_		    =     self.get_rust_tokenizer()
							snake_case_		    =     tokenizer.encode(_a						)
							snake_case_		    =     rust_tokenizer.encode(_a						)
							self.assertListEqual(_a       ,	_a						)






						def        snake_case__						(						self							:     Optional[int]						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer()

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






						def        snake_case__						(						self							:     Optional[int]						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer(do_lower_case=_a						)

							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						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer(do_lower_case=_a       ,	strip_accents=_a						)

							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							:     List[Any]						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer(do_lower_case=_a       ,	strip_accents=_a						)

							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						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer(do_lower_case=_a						)

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






						def        snake_case__						(						self							:     int						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer(do_lower_case=_a						)

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






						def        snake_case__						(						self							:     List[str]						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer(do_lower_case=_a       ,	strip_accents=_a						)

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






						def        snake_case__						(						self							:     Optional[int]						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer(do_lower_case=_a       ,	strip_accents=_a						)

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






						def        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer(do_lower_case=_a       ,	never_split=["[UNK]"]						)

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






						def        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     BasicTokenizer()
							snake_case_		    =     'a\n\'ll !!to?\'d of, can\'t.'
							snake_case_		    =     ['a', '\'', 'll', '!', '!', 'to', '?', '\'', 'd', 'of', ',', 'can', '\'', 't', '.']
							self.assertListEqual(tokenizer.tokenize(_a						)       ,	_a						)






						def        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

							snake_case_		    =     {}
							for i, token in enumerate(_a						):
								snake_case_		    =     i
							snake_case_		    =     WordpieceTokenizer(vocab=_a       ,	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							:     List[str]						):






							"""simple docstring"""






							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							:     Any						):






							"""simple docstring"""






							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							:     List[str]						):






							"""simple docstring"""






							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							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     self.get_tokenizer()
							snake_case_		    =     self.get_rust_tokenizer()

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

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






						@slow
						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     self.tokenizer_class.from_pretrained("bert-base-uncased"						)

							snake_case_		    =     tokenizer.encode("sequence builders"       ,	add_special_tokens=_a						)
							snake_case_		    =     tokenizer.encode("multi-sequence build"       ,	add_special_tokens=_a						)

							snake_case_		    =     tokenizer.build_inputs_with_special_tokens(_a						)
							snake_case_		    =     tokenizer.build_inputs_with_special_tokens(_a       ,	_a						)

							assert encoded_sentence == [1_01] + text + [1_02]
							assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]






						def        snake_case__						(						self							:     int						):






							"""simple docstring"""






							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"						):
									snake_case_		    =     self.rust_tokenizer_class.from_pretrained(_a       ,	**_a						)

									snake_case_		    =     f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
									snake_case_		    =     tokenizer_r.encode_plus(
									    _a       ,	return_attention_mask=_a       ,	return_token_type_ids=_a       ,	return_offsets_mapping=_a       ,	add_special_tokens=_a       ,	)

									snake_case_		    =     tokenizer_r.do_lower_case if hasattr(_a       ,	"do_lower_case"						) else False
									snake_case_		    =     (
									    [
									        ((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							:     str						):






							"""simple docstring"""






							snake_case_		    =     ['的', '人', '有']
							snake_case_		    =     ''.join(_a						)
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"						):
									snake_case_		    =     True
									snake_case_		    =     self.tokenizer_class.from_pretrained(_a       ,	**_a						)
									snake_case_		    =     self.rust_tokenizer_class.from_pretrained(_a       ,	**_a						)

									snake_case_		    =     tokenizer_p.encode(_a       ,	add_special_tokens=_a						)
									snake_case_		    =     tokenizer_r.encode(_a       ,	add_special_tokens=_a						)

									snake_case_		    =     tokenizer_r.convert_ids_to_tokens(_a						)
									snake_case_		    =     tokenizer_p.convert_ids_to_tokens(_a						)

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

									snake_case_		    =     False
									snake_case_		    =     self.rust_tokenizer_class.from_pretrained(_a       ,	**_a						)
									snake_case_		    =     self.tokenizer_class.from_pretrained(_a       ,	**_a						)

									snake_case_		    =     tokenizer_r.encode(_a       ,	add_special_tokens=_a						)
									snake_case_		    =     tokenizer_p.encode(_a       ,	add_special_tokens=_a						)

									snake_case_		    =     tokenizer_r.convert_ids_to_tokens(_a						)
									snake_case_		    =     tokenizer_p.convert_ids_to_tokens(_a						)

									# it is expected that only the first Chinese character is not preceded by "##".
									snake_case_		    =     [
									    f"##{token}" if idx != 0 else token for idx, token in enumerate(_a						)
									]
									self.assertListEqual(_a       ,	_a						)
									self.assertListEqual(_a       ,	_a						)





'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_UpperCamelCase											=						{
    'configuration_biogpt': ['BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BioGptConfig'],
    'tokenization_biogpt': ['BioGptTokenizer'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCamelCase											=						[
       'BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
       'BioGptForCausalLM',
       'BioGptForTokenClassification',
       'BioGptForSequenceClassification',
       'BioGptModel',
       'BioGptPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
   from .tokenization_biogpt import BioGptTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_biogpt import (
          BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
          BioGptForCausalLM,
          BioGptForSequenceClassification,
          BioGptForTokenClassification,
          BioGptModel,
          BioGptPreTrainedModel,
      )


else:
   import sys

   _UpperCamelCase											=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






