





'''simple docstring'''


import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, 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
@require_tokenizers
class 	UpperCAmelCase	(		UpperCAmelCase_					,	unittest.TestCase):


 '''simple docstring'''




 __magic_name__					: str  =      BigBirdTokenizer
 __magic_name__					: Any  =      BigBirdTokenizerFast
 __magic_name__					: List[str]  =      True
 __magic_name__					: Dict  =      True




 def       lowercase_  (   self) ->      int:



      """simple docstring"""







      super().setUp()

      a_       		=self.tokenizer_class(_snake_case							,  keep_accents=_snake_case)
      tokenizer.save_pretrained(self.tmpdirname)




 def       lowercase_  (   self) ->      List[Any]:



      """simple docstring"""







      a_       		="<s>"
      a_       		=1

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




 def       lowercase_  (   self) ->      Optional[Any]:



      """simple docstring"""







      a_       		=list(self.get_tokenizer().get_vocab().keys())

      self.assertEqual(vocab_keys[0]							,  "<unk>")
      self.assertEqual(vocab_keys[1]							,  "<s>")
      self.assertEqual(vocab_keys[-1]							,  "[MASK]")
      self.assertEqual(len(_snake_case)							,  1_0_0_4)




 def       lowercase_  (   self) ->      List[Any]:



      """simple docstring"""







      self.assertEqual(self.get_tokenizer().vocab_size							,  1_0_0_0)




 def       lowercase_  (   self) ->      Tuple:



      """simple docstring"""







      if not self.test_rust_tokenizer:
           return

      a_       		=self.get_tokenizer()
      a_       		=self.get_rust_tokenizer()

      a_       		="I was born in 92000, and this is falsé."

      a_       		=tokenizer.tokenize(_snake_case)
      a_       		=rust_tokenizer.tokenize(_snake_case)
      self.assertListEqual(_snake_case							,  _snake_case)

      a_       		=tokenizer.encode(_snake_case							,  add_special_tokens=_snake_case)
      a_       		=rust_tokenizer.encode(_snake_case							,  add_special_tokens=_snake_case)
      self.assertListEqual(_snake_case							,  _snake_case)

      a_       		=self.get_rust_tokenizer()
      a_       		=tokenizer.encode(_snake_case)
      a_       		=rust_tokenizer.encode(_snake_case)
      self.assertListEqual(_snake_case							,  _snake_case)




 def       lowercase_  (   self) ->      Optional[Any]:



      """simple docstring"""







      a_       		=BigBirdTokenizer(_snake_case							,  keep_accents=_snake_case)

      a_       		=tokenizer.tokenize("This is a test")
      self.assertListEqual(_snake_case							,  ["▁This", "▁is", "▁a", "▁t", "est"])

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(_snake_case)							,  [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]							,  )

      a_       		=tokenizer.tokenize("I was born in 92000, and this is falsé.")
      self.assertListEqual(
          _snake_case							,  [
              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",
              ".",
          ]							,  )
      a_       		=tokenizer.convert_tokens_to_ids(_snake_case)
      self.assertListEqual(
          _snake_case							,  [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4]							,  )

      a_       		=tokenizer.convert_ids_to_tokens(_snake_case)
      self.assertListEqual(
          _snake_case							,  [
              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       lowercase_  (   self) ->      int:



      """simple docstring"""







      return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base")




 @slow
 def       lowercase_  (   self) ->      Optional[Any]:



      """simple docstring"""







      a_       		="Hello World!"
      a_       		=[6_5, 1_8_5_3_6, 2_2_6_0, 1_0_1, 6_6]

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




 @slow
 def       lowercase_  (   self) ->      Union[str, Any]:



      """simple docstring"""







      a_       		=(
          "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"
      )
      # fmt: off
      a_       		=[6_5, 8_7_1, 4_1_9, 3_5_8, 9_4_6, 9_9_1, 2_5_2_1, 4_5_2, 3_5_8, 1_3_5_7, 3_8_7, 7_7_5_1, 3_5_3_6, 1_1_2, 9_8_5, 4_5_6, 1_2_6, 8_6_5, 9_3_8, 5_4_0_0, 5_7_3_4, 4_5_8, 1_3_6_8, 4_6_7, 7_8_6, 2_4_6_2, 5_2_4_6, 1_1_5_9, 6_3_3, 8_6_5, 4_5_1_9, 4_5_7, 5_8_2, 8_5_2, 2_5_5_7, 4_2_7, 9_1_6, 5_0_8, 4_0_5, 3_4_3_2_4, 4_9_7, 3_9_1, 4_0_8, 1_1_3_4_2, 1_2_4_4, 3_8_5, 1_0_0, 9_3_8, 9_8_5, 4_5_6, 5_7_4, 3_6_2, 1_2_5_9_7, 3_2_0_0, 3_1_2_9, 1_1_7_2, 6_6]  # noqa: E231
      # fmt: on
      self.assertListEqual(_snake_case							,  self.big_tokenizer.encode(_snake_case))




 @require_torch
 @slow
 def       lowercase_  (   self) ->      Optional[Any]:



      """simple docstring"""







      import torch

      from transformers import BigBirdConfig, BigBirdModel

      # Build sequence
      a_       		=list(self.big_tokenizer.get_vocab().keys())[:1_0]
      a_       		=" ".join(_snake_case)
      a_       		=self.big_tokenizer.encode_plus(_snake_case							,  return_tensors="pt"							,  return_token_type_ids=_snake_case)
      a_       		=self.big_tokenizer.batch_encode_plus(
          [sequence + " " + sequence]							,  return_tensors="pt"							,  return_token_type_ids=_snake_case)

      a_       		=BigBirdConfig(attention_type="original_full")
      a_       		=BigBirdModel(_snake_case)

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

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




 @slow
 def       lowercase_  (   self) ->      Dict:



      """simple docstring"""







      a_       		=BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base")
      a_       		=tokenizer.decode(tokenizer("Paris is the [MASK].").input_ids)

      self.assertTrue(decoded_text == "[CLS] Paris is the[MASK].[SEP]")




 @slow
 def       lowercase_  (   self) ->      Union[str, Any]:



      """simple docstring"""







      a_       		={"input_ids": [[6_5, 3_9_2_8_6, 4_5_8, 3_6_3_3_5, 2_0_0_1, 4_5_6, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 7_7_4_6, 1_7_4_1, 1_1_1_5_7, 3_9_1, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 3_9_6_7, 3_5_4_1_2, 1_1_3, 4_9_3_6, 1_0_9, 3_8_7_0, 2_3_7_7, 1_1_3, 3_0_0_8_4, 4_5_7_2_0, 4_5_8, 1_3_4, 1_7_4_9_6, 1_1_2, 5_0_3, 1_1_6_7_2, 1_1_3, 1_1_8, 1_1_2, 5_6_6_5, 1_3_3_4_7, 3_8_6_8_7, 1_1_2, 1_4_9_6, 3_1_3_8_9, 1_1_2, 3_2_6_8, 4_7_2_6_4, 1_3_4, 9_6_2, 1_1_2, 1_6_3_7_7, 8_0_3_5, 2_3_1_3_0, 4_3_0, 1_2_1_6_9, 1_5_5_1_8, 2_8_5_9_2, 4_5_8, 1_4_6, 4_1_6_9_7, 1_0_9, 3_9_1, 1_2_1_6_9, 1_5_5_1_8, 1_6_6_8_9, 4_5_8, 1_4_6, 4_1_3_5_8, 1_0_9, 4_5_2, 7_2_6, 4_0_3_4, 1_1_1, 7_6_3, 3_5_4_1_2, 5_0_8_2, 3_8_8, 1_9_0_3, 1_1_1, 9_0_5_1, 3_9_1, 2_8_7_0, 4_8_9_1_8, 1_9_0_0, 1_1_2_3, 5_5_0, 9_9_8, 1_1_2, 9_5_8_6, 1_5_9_8_5, 4_5_5, 3_9_1, 4_1_0, 2_2_9_5_5, 3_7_6_3_6, 1_1_4, 6_6], [6_5, 4_4_8, 1_7_4_9_6, 4_1_9, 3_6_6_3, 3_8_5, 7_6_3, 1_1_3, 2_7_5_3_3, 2_8_7_0, 3_2_8_3, 1_3_0_4_3, 1_6_3_9, 2_4_7_1_3, 5_2_3, 6_5_6, 2_4_0_1_3, 1_8_5_5_0, 2_5_2_1, 5_1_7, 2_7_0_1_4, 2_1_2_4_4, 4_2_0, 1_2_1_2, 1_4_6_5, 3_9_1, 9_2_7, 4_8_3_3, 3_8_8, 5_7_8, 1_1_7_8_6, 1_1_4, 6_6, 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], [6_5, 4_8_4, 2_1_6_9, 7_6_8_7, 2_1_9_3_2, 1_8_1_4_6, 7_2_6, 3_6_3, 1_7_0_3_2, 3_3_9_1, 1_1_4, 6_6, 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, 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, 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=_snake_case							,  model_name="google/bigbird-roberta-base"							,  revision="215c99f1600e06f83acce68422f2035b2b5c3510"							,  )







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase							       =			{
    '''configuration_timesformer''': ['''TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TimesformerConfig'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase							       =			[
      '''TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''TimesformerModel''',
      '''TimesformerForVideoClassification''',
      '''TimesformerPreTrainedModel''',
  ]

if TYPE_CHECKING:
  from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_timesformer import (
        TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimesformerForVideoClassification,
        TimesformerModel,
        TimesformerPreTrainedModel,
    )

else:
  import sys

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


