

'''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


_snake_case         =  '▁'

_snake_case         =  get_tests_dir('fixtures/test_sentencepiece.model')


@require_sentencepiece
@require_tokenizers
class        a__  (							lowerCamelCase_  ,				unittest.TestCase  ):
   _SCREAMING_SNAKE_CASE   :					List[Any]     	=							BigBirdTokenizer
   _SCREAMING_SNAKE_CASE   :					Optional[int]     	=							BigBirdTokenizerFast
   _SCREAMING_SNAKE_CASE   :					Tuple     	=							True
   _SCREAMING_SNAKE_CASE   :					int     	=							True


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      super().setUp()

      _lowercase      :				int      					=       self.tokenizer_class(_UpperCamelCase      ,    keep_accents=_UpperCamelCase  )
      tokenizer.save_pretrained(self.tmpdirname  )


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				List[Any]      					=       "<s>"
      _lowercase      :				List[Any]      					=       1

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


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Dict      					=       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 						_lowerCamelCase       (			self  ):





      """simple docstring"""





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


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      if not self.test_rust_tokenizer:
         return

      _lowercase      :				Union[str, Any]      					=       self.get_tokenizer()
      _lowercase      :				Optional[int]      					=       self.get_rust_tokenizer()

      _lowercase      :				Any      					=       "I was born in 92000, and this is falsé."

      _lowercase      :				Any      					=       tokenizer.tokenize(_UpperCamelCase  )
      _lowercase      :				List[str]      					=       rust_tokenizer.tokenize(_UpperCamelCase  )
      self.assertListEqual(_UpperCamelCase      ,    _UpperCamelCase  )

      _lowercase      :				List[Any]      					=       tokenizer.encode(_UpperCamelCase      ,    add_special_tokens=_UpperCamelCase  )
      _lowercase      :				Any      					=       rust_tokenizer.encode(_UpperCamelCase      ,    add_special_tokens=_UpperCamelCase  )
      self.assertListEqual(_UpperCamelCase      ,    _UpperCamelCase  )

      _lowercase      :				Optional[Any]      					=       self.get_rust_tokenizer()
      _lowercase      :				Any      					=       tokenizer.encode(_UpperCamelCase  )
      _lowercase      :				Optional[int]      					=       rust_tokenizer.encode(_UpperCamelCase  )
      self.assertListEqual(_UpperCamelCase      ,    _UpperCamelCase  )


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				List[str]      					=       BigBirdTokenizer(_UpperCamelCase      ,    keep_accents=_UpperCamelCase  )

      _lowercase      :				str      					=       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]      ,    )

      _lowercase      :				Any      					=       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",
              ".",
          ]      ,    )
      _lowercase      :				str      					=       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]      ,    )

      _lowercase      :				str      					=       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 						_lowerCamelCase       (			self  ):





      """simple docstring"""





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


   @slow
   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Dict      					=       "Hello World!"
      _lowercase      :				str      					=       [65, 18536, 2260, 101, 66]

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


   @slow
   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Tuple      					=       (
          "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
      _lowercase      :				List[str]      					=       [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 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      import torch

      from transformers import BigBirdConfig, BigBirdModel

      # Build sequence
      _lowercase      :				Optional[Any]      					=       list(self.big_tokenizer.get_vocab().keys()  )[:10]
      _lowercase      :				Optional[int]      					=       " ".join(_UpperCamelCase  )
      _lowercase      :				List[str]      					=       self.big_tokenizer.encode_plus(_UpperCamelCase      ,    return_tensors="pt"      ,    return_token_type_ids=_UpperCamelCase  )
      _lowercase      :				Optional[Any]      					=       self.big_tokenizer.batch_encode_plus(
          [sequence + " " + sequence]      ,    return_tensors="pt"      ,    return_token_type_ids=_UpperCamelCase  )

      _lowercase      :				List[str]      					=       BigBirdConfig(attention_type="original_full"  )
      _lowercase      :				Optional[int]      					=       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 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Optional[int]      					=       BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"  )
      _lowercase      :				Optional[Any]      					=       tokenizer.decode(tokenizer("Paris is the [MASK]."  ).input_ids  )

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






   @slow
   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				List[Any]      					=       {"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'''
import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


_snake_case         =  logging.get_logger(__name__)


class        a__  (							lowerCamelCase_  ):


   def __init__(			self      ,    *_UpperCamelCase      ,    **_UpperCamelCase  ):





      """simple docstring"""





      warnings.warn(
          "The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
          " Please use ChineseCLIPImageProcessor instead."      ,    _UpperCamelCase      ,    )
      super().__init__(*_UpperCamelCase      ,    **_UpperCamelCase  )






