
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       a		(   UpperCAmelCase__      ,	unittest.TestCase					):
       lowercase_		:						str   							=  BigBirdTokenizer
       lowercase_		:						List[str]   							=  BigBirdTokenizerFast
       lowercase_		:						str   							=  True
       lowercase_		:						Any   							=  True







       def       UpperCAmelCase__					(						self  :  Optional[Any] ):
        """simple docstring"""







        super().setUp()

        __lowerCAmelCase         =							self.tokenizer_class(__lowerCAmelCase      ,				keep_accents=__lowerCAmelCase )
        tokenizer.save_pretrained(self.tmpdirname )







       def       UpperCAmelCase__					(						self  :  Optional[int] ):
        """simple docstring"""







        __lowerCAmelCase         =							"<s>"
        __lowerCAmelCase         =							1

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







       def       UpperCAmelCase__					(						self  :  Optional[Any] ):
        """simple docstring"""







        __lowerCAmelCase         =							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(__lowerCAmelCase )      ,				1_004 )







       def       UpperCAmelCase__					(						self  :  Tuple ):
        """simple docstring"""







        self.assertEqual(self.get_tokenizer().vocab_size      ,				1_000 )







       def       UpperCAmelCase__					(						self  :  Tuple ):
        """simple docstring"""







        if not self.test_rust_tokenizer:
         return

        __lowerCAmelCase         =							self.get_tokenizer()
        __lowerCAmelCase         =							self.get_rust_tokenizer()

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

        __lowerCAmelCase         =							tokenizer.tokenize(__lowerCAmelCase )
        __lowerCAmelCase         =							rust_tokenizer.tokenize(__lowerCAmelCase )
        self.assertListEqual(__lowerCAmelCase      ,				__lowerCAmelCase )

        __lowerCAmelCase         =							tokenizer.encode(__lowerCAmelCase      ,				add_special_tokens=__lowerCAmelCase )
        __lowerCAmelCase         =							rust_tokenizer.encode(__lowerCAmelCase      ,				add_special_tokens=__lowerCAmelCase )
        self.assertListEqual(__lowerCAmelCase      ,				__lowerCAmelCase )

        __lowerCAmelCase         =							self.get_rust_tokenizer()
        __lowerCAmelCase         =							tokenizer.encode(__lowerCAmelCase )
        __lowerCAmelCase         =							rust_tokenizer.encode(__lowerCAmelCase )
        self.assertListEqual(__lowerCAmelCase      ,				__lowerCAmelCase )







       def       UpperCAmelCase__					(						self  :  int ):
        """simple docstring"""







        __lowerCAmelCase         =							BigBirdTokenizer(__lowerCAmelCase      ,				keep_accents=__lowerCAmelCase )

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

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

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

        __lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(__lowerCAmelCase )
        self.assertListEqual(
            __lowerCAmelCase      ,				[
                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] ):
        """simple docstring"""







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







       @slow
       def       UpperCAmelCase__					(						self  :  int ):
        """simple docstring"""







        __lowerCAmelCase         =							"Hello World!"
        __lowerCAmelCase         =							[65, 18_536, 2_260, 101, 66]

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







       @slow
       def       UpperCAmelCase__					(						self  :  Optional[int] ):
        """simple docstring"""







        __lowerCAmelCase         =							(
            "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         =							[65, 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, 66]  # noqa: E231
        # fmt: on
        self.assertListEqual(__lowerCAmelCase      ,				self.big_tokenizer.encode(__lowerCAmelCase ) )







       @require_torch
       @slow
       def       UpperCAmelCase__					(						self  :  Dict ):
        """simple docstring"""







        import torch

        from transformers import BigBirdConfig, BigBirdModel

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

        __lowerCAmelCase         =							BigBirdConfig(attention_type="original_full" )
        __lowerCAmelCase         =							BigBirdModel(__lowerCAmelCase )

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

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







       @slow
       def       UpperCAmelCase__					(						self  :  Union[str, Any] ):
        """simple docstring"""







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

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







       @slow
       def       UpperCAmelCase__					(						self  :  int ):
        """simple docstring"""







        __lowerCAmelCase         =							{"input_ids": [[65, 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, 66], [65, 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, 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, 2_169, 7_687, 21_932, 18_146, 726, 363, 17_032, 3_391, 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=__lowerCAmelCase      ,				model_name="google/bigbird-roberta-base"      ,				revision="215c99f1600e06f83acce68422f2035b2b5c3510"      ,				)








# 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,
)






