

'''simple docstring'''

import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowercase__         =      "▁"

lowercase__         =      get_tests_dir("fixtures/test_sentencepiece.model")




@require_sentencepiece
class 	A_			(    _snake_case	,       unittest.TestCase							):






     '''simple docstring'''



     UpperCAmelCase_						:     Optional[Any]  		=  BertGenerationTokenizer
     UpperCAmelCase_						:     Dict  		=  False
     UpperCAmelCase_						:     List[Any]  		=  True


     def        UpperCAmelCase_	(		self			:					Optional[Any]	)						->     Optional[int]:
      super().setUp()

      UpperCAmelCase	:     int						 =			BertGenerationTokenizer(lowercase_					,      keep_accents=lowercase_	)
      tokenizer.save_pretrained(self.tmpdirname	)


     def        UpperCAmelCase_	(		self			:					List[str]	)						->     Dict:
      UpperCAmelCase	:     str						 =			'<s>'
      UpperCAmelCase	:     List[Any]						 =			1

      self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowercase_	)					,      lowercase_	)
      self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowercase_	)					,      lowercase_	)


     def        UpperCAmelCase_	(		self			:					Tuple	)						->     Dict:
      UpperCAmelCase	:     Optional[Any]						 =			list(self.get_tokenizer().get_vocab().keys()	)

      self.assertEqual(vocab_keys[0]					,      '<unk>'	)
      self.assertEqual(vocab_keys[1]					,      '<s>'	)
      self.assertEqual(vocab_keys[-1]					,      '<pad>'	)
      self.assertEqual(len(lowercase_	)					,      1_002	)


     def        UpperCAmelCase_	(		self			:					int	)						->     Union[str, Any]:
      self.assertEqual(self.get_tokenizer().vocab_size					,      1_000	)


     def        UpperCAmelCase_	(		self			:					List[Any]	)						->     Any:
      UpperCAmelCase	:     Optional[Any]						 =			BertGenerationTokenizer(lowercase_					,      keep_accents=lowercase_	)

      UpperCAmelCase	:     Dict						 =			tokenizer.tokenize('This is a test'	)
      self.assertListEqual(lowercase_					,      ['▁This', '▁is', '▁a', '▁t', 'est']	)

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(lowercase_	)					,      [285, 46, 10, 170, 382]					,      )

      UpperCAmelCase	:     List[Any]						 =			tokenizer.tokenize('I was born in 92000, and this is falsé.'	)
      self.assertListEqual(
          lowercase_					,      [
              SPIECE_UNDERLINE + 'I',
              SPIECE_UNDERLINE + 'was',
              SPIECE_UNDERLINE + 'b',
              'or',
              'n',
              SPIECE_UNDERLINE + 'in',
              SPIECE_UNDERLINE + '',
              '9',
              '2',
              '0',
              '0',
              '0',
              ',',
              SPIECE_UNDERLINE + 'and',
              SPIECE_UNDERLINE + 'this',
              SPIECE_UNDERLINE + 'is',
              SPIECE_UNDERLINE + 'f',
              'al',
              's',
              'é',
              '.',
          ]					,      )
      UpperCAmelCase	:     Dict						 =			tokenizer.convert_tokens_to_ids(lowercase_	)
      self.assertListEqual(
          lowercase_					,      [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]					,      )

      UpperCAmelCase	:     List[Any]						 =			tokenizer.convert_ids_to_tokens(lowercase_	)
      self.assertListEqual(
          lowercase_					,      [
              SPIECE_UNDERLINE + 'I',
              SPIECE_UNDERLINE + 'was',
              SPIECE_UNDERLINE + 'b',
              'or',
              'n',
              SPIECE_UNDERLINE + 'in',
              SPIECE_UNDERLINE + '',
              '<unk>',
              '2',
              '0',
              '0',
              '0',
              ',',
              SPIECE_UNDERLINE + 'and',
              SPIECE_UNDERLINE + 'this',
              SPIECE_UNDERLINE + 'is',
              SPIECE_UNDERLINE + 'f',
              'al',
              's',
              '<unk>',
              '.',
          ]					,      )


     @cached_property
     def        UpperCAmelCase_	(		self			:					List[str]	)						->     str:
      return BertGenerationTokenizer.from_pretrained('google/bert_for_seq_generation_L-24_bbc_encoder'	)


     @slow
     def        UpperCAmelCase_	(		self			:					List[str]	)						->     Any:
      UpperCAmelCase	:     Optional[Any]						 =			'Hello World!'
      UpperCAmelCase	:     Optional[int]						 =			[18_536, 2_260, 101]

      self.assertListEqual(lowercase_					,      self.big_tokenizer.encode(lowercase_	)	)


     @slow
     def        UpperCAmelCase_	(		self			:					Dict	)						->     Optional[Any]:
      UpperCAmelCase	:     Union[str, Any]						 =			(
          'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
          ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
      )
      UpperCAmelCase	:     Optional[int]						 =			[
          871,
          419,
          358,
          946,
          991,
          2_521,
          452,
          358,
          1_357,
          387,
          7_751,
          3_536,
          112,
          985,
          456,
          126,
          865,
          938,
          5_400,
          5_734,
          458,
          1_368,
          467,
          786,
          2_462,
          5_246,
          1_159,
          633,
          865,
          4_519,
          457,
          582,
          852,
          2_557,
          427,
          916,
          508,
          405,
          34_324,
          497,
          391,
          408,
          11_342,
          1_244,
          385,
          100,
          938,
          985,
          456,
          574,
          362,
          12_597,
          3_200,
          3_129,
          1_172,
      ]

      self.assertListEqual(lowercase_					,      self.big_tokenizer.encode(lowercase_	)	)


     @require_torch
     @slow
     def        UpperCAmelCase_	(		self			:					Optional[Any]	)						->     Optional[int]:
      import torch

      from transformers import BertGenerationConfig, BertGenerationEncoder

      # Build sequence
      UpperCAmelCase	:     Dict						 =			list(self.big_tokenizer.get_vocab().keys()	)[:10]
      UpperCAmelCase	:     Union[str, Any]						 =			' '.join(lowercase_	)
      UpperCAmelCase	:     Optional[Any]						 =			self.big_tokenizer.encode_plus(lowercase_					,      return_tensors='pt'					,      return_token_type_ids=lowercase_	)
      UpperCAmelCase	:     Optional[Any]						 =			self.big_tokenizer.batch_encode_plus(
          [sequence + ' ' + sequence]					,      return_tensors='pt'					,      return_token_type_ids=lowercase_	)

      UpperCAmelCase	:     List[str]						 =			BertGenerationConfig()
      UpperCAmelCase	:     List[Any]						 =			BertGenerationEncoder(lowercase_	)

      assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

      with torch.no_grad():
       model(**lowercase_	)
       model(**lowercase_	)




     @slow
     def        UpperCAmelCase_	(		self			:					Tuple	)						->     Any:
      # fmt: off
      UpperCAmelCase	:     Optional[Any]						 =			{'input_ids': [[39_286, 458, 36_335, 2_001, 456, 13_073, 13_266, 455, 113, 7_746, 1_741, 11_157, 391, 13_073, 13_266, 455, 113, 3_967, 35_412, 113, 4_936, 109, 3_870, 2_377, 113, 30_084, 45_720, 458, 134, 17_496, 112, 503, 11_672, 113, 118, 112, 5_665, 13_347, 38_687, 112, 1_496, 31_389, 112, 3_268, 47_264, 134, 962, 112, 16_377, 8_035, 23_130, 430, 12_169, 15_518, 28_592, 458, 146, 41_697, 109, 391, 12_169, 15_518, 16_689, 458, 146, 41_358, 109, 452, 726, 4_034, 111, 763, 35_412, 5_082, 388, 1_903, 111, 9_051, 391, 2_870, 48_918, 1_900, 1_123, 550, 998, 112, 9_586, 15_985, 455, 391, 410, 22_955, 37_636, 114], [448, 17_496, 419, 3_663, 385, 763, 113, 27_533, 2_870, 3_283, 13_043, 1_639, 24_713, 523, 656, 24_013, 18_550, 2_521, 517, 27_014, 21_244, 420, 1_212, 1_465, 391, 927, 4_833, 388, 578, 11_786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2_169, 7_687, 21_932, 18_146, 726, 363, 17_032, 3_391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
      # fmt: on

      self.tokenizer_integration_test_util(
          expected_encoding=lowercase_					,      model_name='google/bert_for_seq_generation_L-24_bbc_encoder'					,      revision='c817d1fd1be2ffa69431227a1fe320544943d4db'					,      )







'''simple docstring'''

# Lint as: python3
import itertools
import os
import re


lowercase__         =      re.compile(r"([A-Z]+)([A-Z][a-z])")
lowercase__         =      re.compile(r"([a-z\d])([A-Z])")

lowercase__         =      re.compile(r"(?<!_)_(?!_)")
lowercase__         =      re.compile(r"(_{2,})")

lowercase__         =      r"^\w+(\.\w+)*$"

lowercase__         =      r"<>:/\|?*"




def 				UpperCamelCase(					UpperCAmelCase_     ):
 UpperCAmelCase	:     List[str]						 =			_uppercase_uppercase_re.sub(R'\1_\2'  ,	UpperCAmelCase_     )
 UpperCAmelCase	:     str						 =			_lowercase_uppercase_re.sub(R'\1_\2'  ,	UpperCAmelCase_     )
 return name.lower()




def 				UpperCamelCase(					UpperCAmelCase_     ):
 UpperCAmelCase	:     List[str]						 =			_single_underscore_re.split(UpperCAmelCase_     )
 UpperCAmelCase	:     Optional[Any]						 =			[_multiple_underscores_re.split(UpperCAmelCase_     ) for n in name]
 return "".join(n.capitalize() for n in itertools.chain.from_iterable(UpperCAmelCase_     ) if n != ''     )




def 				UpperCamelCase(					UpperCAmelCase_     ):
 if os.path.basename(UpperCAmelCase_     ) != name:
  raise ValueError(F"""Should be a dataset name, not a path: {name}"""     )
 return camelcase_to_snakecase(UpperCAmelCase_     )




def 				UpperCamelCase(					UpperCAmelCase_  ,	UpperCAmelCase_     ):
 if os.path.basename(UpperCAmelCase_     ) != name:
  raise ValueError(F"""Should be a dataset name, not a path: {name}"""     )
 if not re.match(_split_re  ,	UpperCAmelCase_     ):
  raise ValueError(F"""Split name should match '{_split_re}'' but got '{split}'."""     )
 return F"""{filename_prefix_for_name(UpperCAmelCase_     )}-{split}"""




def 				UpperCamelCase(					UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_=None     ):
 UpperCAmelCase	:     Dict						 =			filename_prefix_for_split(UpperCAmelCase_  ,	UpperCAmelCase_     )
 if filetype_suffix:
  prefix += F""".{filetype_suffix}"""
 UpperCAmelCase	:     Optional[int]						 =			os.path.join(UpperCAmelCase_  ,	UpperCAmelCase_     )
 return F"""{filepath}*"""




def 				UpperCamelCase(					UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_=None  ,	UpperCAmelCase_=None     ):
 UpperCAmelCase	:     Optional[int]						 =			filename_prefix_for_split(UpperCAmelCase_  ,	UpperCAmelCase_     )
 UpperCAmelCase	:     str						 =			os.path.join(UpperCAmelCase_  ,	UpperCAmelCase_     )

 if shard_lengths:
  UpperCAmelCase	:     List[str]						 =			len(UpperCAmelCase_     )
  UpperCAmelCase	:     List[str]						 =			[F"""{prefix}-{shard_id:05d}-of-{num_shards:05d}""" for shard_id in range(UpperCAmelCase_     )]
  if filetype_suffix:
   UpperCAmelCase	:     Dict						 =			[filename + F""".{filetype_suffix}""" for filename in filenames]
  return filenames
 else:
  UpperCAmelCase	:     Optional[Any]						 =			prefix
  if filetype_suffix:
   filename += F""".{filetype_suffix}"""
  return [filename]




