


"""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


UpperCAmelCase				=						"""▁"""

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




@require_sentencepiece
@require_tokenizers
class 	lowercase__				(					A_ ,unittest.TestCase				):
   __UpperCAmelCase							       =					BigBirdTokenizer
   __UpperCAmelCase							       =					BigBirdTokenizerFast
   __UpperCAmelCase							       =					True
   __UpperCAmelCase							       =					True





   def 		UpperCamelCase_  (							self)  ->  Any:
      super().setUp()

      _lowerCamelCase	:					Optional[Any]   =		self.tokenizer_class(SCREAMING_SNAKE_CASE      ,   keep_accents=SCREAMING_SNAKE_CASE)
      tokenizer.save_pretrained(self.tmpdirname)





   def 		UpperCamelCase_  (							self)  ->  str:
      _lowerCamelCase	:					Tuple   =		"""<s>"""
      _lowerCamelCase	:					str   =		1

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





   def 		UpperCamelCase_  (							self)  ->  Dict:
      _lowerCamelCase	:					int   =		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(SCREAMING_SNAKE_CASE)      ,   1004)





   def 		UpperCamelCase_  (							self)  ->  List[Any]:
      self.assertEqual(self.get_tokenizer().vocab_size      ,   1000)





   def 		UpperCamelCase_  (							self)  ->  int:
      if not self.test_rust_tokenizer:
         return

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

      _lowerCamelCase	:					Dict   =		"""I was born in 92000, and this is falsé."""

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

      _lowerCamelCase	:					Optional[Any]   =		tokenizer.encode(SCREAMING_SNAKE_CASE      ,   add_special_tokens=SCREAMING_SNAKE_CASE)
      _lowerCamelCase	:					Optional[int]   =		rust_tokenizer.encode(SCREAMING_SNAKE_CASE      ,   add_special_tokens=SCREAMING_SNAKE_CASE)
      self.assertListEqual(SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					str   =		self.get_rust_tokenizer()
      _lowerCamelCase	:					Dict   =		tokenizer.encode(SCREAMING_SNAKE_CASE)
      _lowerCamelCase	:					str   =		rust_tokenizer.encode(SCREAMING_SNAKE_CASE)
      self.assertListEqual(SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self)  ->  int:
      _lowerCamelCase	:					int   =		BigBirdTokenizer(SCREAMING_SNAKE_CASE      ,   keep_accents=SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Tuple   =		tokenizer.tokenize("""This is a test""")
      self.assertListEqual(SCREAMING_SNAKE_CASE      ,   ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""])

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

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

      _lowerCamelCase	:					str   =		tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE)
      self.assertListEqual(
          SCREAMING_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 		UpperCamelCase_  (							self)  ->  List[Any]:
      return BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base""")





   @slow
   def 		UpperCamelCase_  (							self)  ->  List[str]:
      _lowerCamelCase	:					Optional[int]   =		"""Hello World!"""
      _lowerCamelCase	:					Tuple   =		[65, 1_8536, 2260, 101, 66]

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





   @slow
   def 		UpperCamelCase_  (							self)  ->  Tuple:
      _lowerCamelCase	:					Optional[int]   =		(
          """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
      _lowerCamelCase	:					Optional[Any]   =		[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, 3_4324, 497, 391, 408, 1_1342, 1244, 385, 100, 938, 985, 456, 574, 362, 1_2597, 3200, 3129, 1172, 66]  # noqa: E231
      # fmt: on
      self.assertListEqual(SCREAMING_SNAKE_CASE      ,   self.big_tokenizer.encode(SCREAMING_SNAKE_CASE))





   @require_torch
   @slow
   def 		UpperCamelCase_  (							self)  ->  Tuple:
      import torch

      from transformers import BigBirdConfig, BigBirdModel

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

      _lowerCamelCase	:					Union[str, Any]   =		BigBirdConfig(attention_type="""original_full""")
      _lowerCamelCase	:					Optional[Any]   =		BigBirdModel(SCREAMING_SNAKE_CASE)

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

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





   @slow
   def 		UpperCamelCase_  (							self)  ->  int:
      _lowerCamelCase	:					Dict   =		BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base""")
      _lowerCamelCase	:					Any   =		tokenizer.decode(tokenizer("""Paris is the [MASK].""").input_ids)

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





   @slow
   def 		UpperCamelCase_  (							self)  ->  Union[str, Any]:
      # fmt: off
      _lowerCamelCase	:					Optional[int]   =		{"""input_ids""": [[65, 3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114, 66], [65, 448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 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, 2_1932, 1_8146, 726, 363, 1_7032, 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=SCREAMING_SNAKE_CASE      ,   model_name="""google/bigbird-roberta-base"""      ,   revision="""215c99f1600e06f83acce68422f2035b2b5c3510"""      ,   )





"""simple docstring"""
# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    """pipelines_utils""",
    """0.22.0""",
    """Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.""",
    standard_warn=False,
    stacklevel=3,
)

