
"""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


lowerCamelCase      =		"""▁"""

lowerCamelCase      =		get_tests_dir("""fixtures/test_sentencepiece.model""")
@require_sentencepiece
@require_tokenizers
class    lowercase__     (					SCREAMING_SNAKE_CASE       ,      unittest.TestCase   ):







       '''simple docstring'''


       UpperCamelCase		=  BigBirdTokenizer
       UpperCamelCase		=  BigBirdTokenizerFast
       UpperCamelCase		=  True
       UpperCamelCase		=  True



       def   lowercase__       (							self    :						Optional[Any]					)				->		Dict:


             '''simple docstring'''




             super().setUp()

             UpperCAmelCase_    				=							self.tokenizer_class(_UpperCAmelCase	,       keep_accents=_UpperCAmelCase					)
             tokenizer.save_pretrained(self.tmpdirname					)



       def   lowercase__       (							self    :						int					)				->		List[Any]:


             '''simple docstring'''




             UpperCAmelCase_    				=							"<s>"
             UpperCAmelCase_    				=							1

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



       def   lowercase__       (							self    :						Union[str, Any]					)				->		List[str]:


             '''simple docstring'''




             UpperCAmelCase_    				=							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(_UpperCAmelCase					)	,       1004					)



       def   lowercase__       (							self    :						int					)				->		Optional[Any]:


             '''simple docstring'''




             self.assertEqual(self.get_tokenizer().vocab_size	,       1000					)



       def   lowercase__       (							self    :						List[Any]					)				->		int:


             '''simple docstring'''




             if not self.test_rust_tokenizer:
                   return

             UpperCAmelCase_    				=							self.get_tokenizer()
             UpperCAmelCase_    				=							self.get_rust_tokenizer()

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

             UpperCAmelCase_    				=							tokenizer.tokenize(_UpperCAmelCase					)
             UpperCAmelCase_    				=							rust_tokenizer.tokenize(_UpperCAmelCase					)
             self.assertListEqual(_UpperCAmelCase	,       _UpperCAmelCase					)

             UpperCAmelCase_    				=							tokenizer.encode(_UpperCAmelCase	,       add_special_tokens=_UpperCAmelCase					)
             UpperCAmelCase_    				=							rust_tokenizer.encode(_UpperCAmelCase	,       add_special_tokens=_UpperCAmelCase					)
             self.assertListEqual(_UpperCAmelCase	,       _UpperCAmelCase					)

             UpperCAmelCase_    				=							self.get_rust_tokenizer()
             UpperCAmelCase_    				=							tokenizer.encode(_UpperCAmelCase					)
             UpperCAmelCase_    				=							rust_tokenizer.encode(_UpperCAmelCase					)
             self.assertListEqual(_UpperCAmelCase	,       _UpperCAmelCase					)



       def   lowercase__       (							self    :						List[Any]					)				->		List[str]:


             '''simple docstring'''




             UpperCAmelCase_    				=							BigBirdTokenizer(_UpperCAmelCase	,       keep_accents=_UpperCAmelCase					)

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

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

             UpperCAmelCase_    				=							tokenizer.tokenize("I was born in 92000, and this is falsé."					)
             self.assertListEqual(
                 _UpperCAmelCase	,       [
                     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_    				=							tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)
             self.assertListEqual(
                 _UpperCAmelCase	,       [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]	,       )

             UpperCAmelCase_    				=							tokenizer.convert_ids_to_tokens(_UpperCAmelCase					)
             self.assertListEqual(
                 _UpperCAmelCase	,       [
                     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    :						Union[str, Any]					)				->		List[str]:


             '''simple docstring'''




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



       @slow
       def   lowercase__       (							self    :						List[str]					)				->		Optional[Any]:


             '''simple docstring'''




             UpperCAmelCase_    				=							"Hello World!"
             UpperCAmelCase_    				=							[65, 18536, 2260, 101, 66]

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



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


             '''simple docstring'''




             UpperCAmelCase_    				=							(
                 "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
             UpperCAmelCase_    				=							[65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 34324, 497, 391, 408, 11342, 1244, 385, 100, 938, 985, 456, 574, 362, 12597, 3200, 3129, 1172, 66]  # noqa: E231
             # fmt: on
             self.assertListEqual(_UpperCAmelCase	,       self.big_tokenizer.encode(_UpperCAmelCase					)					)



       @require_torch
       @slow
       def   lowercase__       (							self    :						int					)				->		Any:


             '''simple docstring'''




             import torch

             from transformers import BigBirdConfig, BigBirdModel

             # Build sequence
             UpperCAmelCase_    				=							list(self.big_tokenizer.get_vocab().keys()					)[:10]
             UpperCAmelCase_    				=							" ".join(_UpperCAmelCase					)
             UpperCAmelCase_    				=							self.big_tokenizer.encode_plus(_UpperCAmelCase	,       return_tensors="pt"	,       return_token_type_ids=_UpperCAmelCase					)
             UpperCAmelCase_    				=							self.big_tokenizer.batch_encode_plus(
                 [sequence + " " + sequence]	,       return_tensors="pt"	,       return_token_type_ids=_UpperCAmelCase					)

             UpperCAmelCase_    				=							BigBirdConfig(attention_type="original_full"					)
             UpperCAmelCase_    				=							BigBirdModel(_UpperCAmelCase					)

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

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



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


             '''simple docstring'''




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

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







       @slow
       def   lowercase__       (							self    :						Dict					)				->		List[Any]:


             '''simple docstring'''




             UpperCAmelCase_    				=							{"input_ids": [[65, 39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114, 66], [65, 448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=_UpperCAmelCase	,       model_name="google/bigbird-roberta-base"	,       revision="215c99f1600e06f83acce68422f2035b2b5c3510"	,       )









"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase      =		{
    """configuration_swinv2""": ["""SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP""", """Swinv2Config"""],
}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase      =		[
      """SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """Swinv2ForImageClassification""",
      """Swinv2ForMaskedImageModeling""",
      """Swinv2Model""",
      """Swinv2PreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_swinva import (
        SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
        SwinvaForImageClassification,
        SwinvaForMaskedImageModeling,
        SwinvaModel,
        SwinvaPreTrainedModel,
    )


else:
  import sys

  lowerCamelCase      =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




