





'''simple docstring'''




import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
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


_SCREAMING_SNAKE_CASE							     =			get_tests_dir("fixtures/test_sentencepiece_no_bos.model")
@require_sentencepiece
@require_tokenizers
class 			_lowerCAmelCase		(			A__							,     unittest.TestCase	):






     """simple docstring"""






     snake_case_						      =   PegasusTokenizer
     snake_case_						      =   PegasusTokenizerFast
     snake_case_						      =   True
     snake_case_						      =   True



     def      lowerCAmelCase			(   self							:			str						)->	str:
        super().setUp()

        # We have a SentencePiece fixture for testing
        snake_case 						=   PegasusTokenizer(__snake_case						)
        tokenizer.save_pretrained(self.tmpdirname						)



     @cached_property
     def      lowerCAmelCase			(   self							:			str						)->	List[str]:
        return PegasusTokenizer.from_pretrained("""google/pegasus-large"""						)



     def      lowerCAmelCase			(   self							:			Tuple   ,       **__snake_case							:			int						)->	PegasusTokenizer:
        return PegasusTokenizer.from_pretrained(self.tmpdirname   ,       **__snake_case						)



     def      lowerCAmelCase			(   self							:			int   ,       __snake_case							:			Union[str, Any]						)->	int:
        return ("This is a test", "This is a test")



     def      lowerCAmelCase			(   self							:			List[str]						)->	List[Any]:
        snake_case 						=   """</s>"""
        snake_case 						=   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      lowerCAmelCase			(   self							:			Union[str, Any]						)->	str:
        snake_case 						=   list(self.get_tokenizer().get_vocab().keys()						)

        self.assertEqual(vocab_keys[0]   ,       """<pad>"""						)
        self.assertEqual(vocab_keys[1]   ,       """</s>"""						)
        self.assertEqual(vocab_keys[-1]   ,       """v"""						)
        self.assertEqual(len(__snake_case						)   ,       11_03						)



     def      lowerCAmelCase			(   self							:			Dict						)->	Any:
        self.assertEqual(self.get_tokenizer().vocab_size   ,       11_03						)



     def      lowerCAmelCase			(   self							:			List[Any]						)->	Dict:
        snake_case 						=   self.rust_tokenizer_class.from_pretrained(self.tmpdirname						)
        snake_case 						=   self.tokenizer_class.from_pretrained(self.tmpdirname						)
        snake_case 						=   (
            """Let's see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important"""
            """ </s> <pad> <pad> <pad>"""
        )
        snake_case 						=   rust_tokenizer([raw_input_str]   ,       return_tensors=__snake_case   ,       add_special_tokens=__snake_case						).input_ids[0]
        snake_case 						=   py_tokenizer([raw_input_str]   ,       return_tensors=__snake_case   ,       add_special_tokens=__snake_case						).input_ids[0]
        self.assertListEqual(__snake_case   ,       __snake_case						)



     def      lowerCAmelCase			(   self							:			Dict						)->	Tuple:
        snake_case 						=   self._large_tokenizer
        # <mask_1> masks whole sentence while <mask_2> masks single word
        snake_case 						=   """<mask_1> To ensure a <mask_2> flow of bank resolutions."""
        snake_case 						=   [2, 4_13, 6_15, 1_14, 3, 19_71, 1_13, 16_79, 1_07_10, 1_07, 1]
        snake_case 						=   tokenizer([raw_input_str]   ,       return_tensors=__snake_case						).input_ids[0]
        self.assertListEqual(__snake_case   ,       __snake_case						)



     def      lowerCAmelCase			(   self							:			Dict						)->	List[Any]:
        snake_case 						=   self._large_tokenizer
        # The tracebacks for the following asserts are **better** without messages or self.assertEqual
        assert tokenizer.vocab_size == 9_61_03
        assert tokenizer.pad_token_id == 0
        assert tokenizer.eos_token_id == 1
        assert tokenizer.offset == 1_03
        assert tokenizer.unk_token_id == tokenizer.offset + 2 == 1_05
        assert tokenizer.unk_token == "<unk>"
        assert tokenizer.model_max_length == 10_24
        snake_case 						=   """To ensure a smooth flow of bank resolutions."""
        snake_case 						=   [4_13, 6_15, 1_14, 22_91, 19_71, 1_13, 16_79, 1_07_10, 1_07, 1]
        snake_case 						=   tokenizer([raw_input_str]   ,       return_tensors=__snake_case						).input_ids[0]
        self.assertListEqual(__snake_case   ,       __snake_case						)
        assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]						) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]



     @require_torch
     def      lowerCAmelCase			(   self							:			int						)->	Union[str, Any]:
        snake_case 						=   ["""This is going to be way too long.""" * 1_50, """short example"""]
        snake_case 						=   ["""not super long but more than 5 tokens""", """tiny"""]
        snake_case 						=   self._large_tokenizer(__snake_case   ,       padding=__snake_case   ,       truncation=__snake_case   ,       return_tensors="""pt"""						)
        snake_case 						=   self._large_tokenizer(
            text_target=__snake_case   ,       max_length=5   ,       padding=__snake_case   ,       truncation=__snake_case   ,       return_tensors="""pt"""						)

        assert batch.input_ids.shape == (2, 10_24)
        assert batch.attention_mask.shape == (2, 10_24)
        assert targets["input_ids"].shape == (2, 5)
        assert len(__snake_case						) == 2  # input_ids, attention_mask.



     @slow
     def      lowerCAmelCase			(   self							:			Optional[int]						)->	Optional[int]:
        # fmt: off
        snake_case 						=   {"""input_ids""": [[3_89_79, 1_43, 1_84_85, 6_06, 1_30, 2_66_69, 8_76_86, 1_21, 5_41_89, 11_29, 1_11, 2_66_69, 8_76_86, 1_21, 91_14, 1_47_87, 1_21, 1_32_49, 1_58, 5_92, 9_56, 1_21, 1_46_21, 3_15_76, 1_43, 6_26_13, 1_08, 96_88, 9_30, 4_34_30, 1_15_62, 6_26_13, 3_04, 1_08, 1_14_43, 8_97, 1_08, 93_14, 1_74_15, 6_33_99, 1_08, 1_14_43, 76_14, 1_83_16, 1_18, 42_84, 71_48, 1_24_30, 1_43, 14_00, 2_57_03, 1_58, 1_11, 42_84, 71_48, 1_17_72, 1_43, 2_12_97, 10_64, 1_58, 1_22, 2_04, 35_06, 17_54, 11_33, 1_47_87, 15_81, 1_15, 3_32_24, 44_82, 1_11, 13_55, 1_10, 2_91_73, 3_17, 5_08_33, 1_08, 2_01_47, 9_46_65, 1_11, 7_71_98, 1_07, 1], [1_10, 6_26_13, 1_17, 6_38, 1_12, 11_33, 1_21, 2_00_98, 13_55, 7_90_50, 1_38_72, 1_35, 15_96, 5_35_41, 13_52, 1_41, 1_30_39, 55_42, 1_24, 3_02, 5_18, 1_11, 2_68, 29_56, 1_15, 1_49, 44_27, 1_07, 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], [1_39, 12_35, 27_99, 1_82_89, 1_77_80, 2_04, 1_09, 94_74, 12_96, 1_07, 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]], """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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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-pegasus-large-arxiv"""   ,       revision="""ba85d0851d708441f91440d509690f1ab6353415"""   ,       )




@require_sentencepiece
@require_tokenizers
class 			_lowerCAmelCase		(			A__							,     unittest.TestCase	):






     """simple docstring"""






     snake_case_						      =   PegasusTokenizer
     snake_case_						      =   PegasusTokenizerFast
     snake_case_						      =   True
     snake_case_						      =   True



     def      lowerCAmelCase			(   self							:			Dict						)->	Optional[Any]:
        super().setUp()

        # We have a SentencePiece fixture for testing
        snake_case 						=   PegasusTokenizer(__snake_case   ,       offset=0   ,       mask_token_sent=__snake_case   ,       mask_token="""[MASK]"""						)
        tokenizer.save_pretrained(self.tmpdirname						)



     @cached_property
     def      lowerCAmelCase			(   self							:			Tuple						)->	Tuple:
        return PegasusTokenizer.from_pretrained("""google/bigbird-pegasus-large-arxiv"""						)



     def      lowerCAmelCase			(   self							:			str   ,       **__snake_case							:			Union[str, Any]						)->	PegasusTokenizer:
        return PegasusTokenizer.from_pretrained(self.tmpdirname   ,       **__snake_case						)



     def      lowerCAmelCase			(   self							:			Union[str, Any]   ,       __snake_case							:			str						)->	Tuple:
        return ("This is a test", "This is a test")



     def      lowerCAmelCase			(   self							:			Dict						)->	List[str]:
        snake_case 						=   self.rust_tokenizer_class.from_pretrained(self.tmpdirname						)
        snake_case 						=   self.tokenizer_class.from_pretrained(self.tmpdirname						)
        snake_case 						=   (
            """Let's see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>"""
            """ <pad> <pad> <pad>"""
        )
        snake_case 						=   rust_tokenizer([raw_input_str]   ,       return_tensors=__snake_case   ,       add_special_tokens=__snake_case						).input_ids[0]
        snake_case 						=   py_tokenizer([raw_input_str]   ,       return_tensors=__snake_case   ,       add_special_tokens=__snake_case						).input_ids[0]
        self.assertListEqual(__snake_case   ,       __snake_case						)



     @require_torch
     def      lowerCAmelCase			(   self							:			Union[str, Any]						)->	int:
        snake_case 						=   ["""This is going to be way too long.""" * 10_00, """short example"""]
        snake_case 						=   ["""not super long but more than 5 tokens""", """tiny"""]
        snake_case 						=   self._large_tokenizer(__snake_case   ,       padding=__snake_case   ,       truncation=__snake_case   ,       return_tensors="""pt"""						)
        snake_case 						=   self._large_tokenizer(
            text_target=__snake_case   ,       max_length=5   ,       padding=__snake_case   ,       truncation=__snake_case   ,       return_tensors="""pt"""						)

        assert batch.input_ids.shape == (2, 40_96)
        assert batch.attention_mask.shape == (2, 40_96)
        assert targets["input_ids"].shape == (2, 5)
        assert len(__snake_case						) == 2  # input_ids, attention_mask.



     def      lowerCAmelCase			(   self							:			List[Any]						)->	Optional[int]:
        snake_case 						=   (
            """This is an example string that is used to test the original TF implementation against the HF"""
            """ implementation"""
        )

        snake_case 						=   self._large_tokenizer(__snake_case						).input_ids

        self.assertListEqual(
            __snake_case   ,       [1_82, 1_17, 1_42, 5_87, 42_11, 1_20, 1_17, 2_63, 1_12, 8_04, 1_09, 8_56, 2_50_16, 31_37, 4_64, 1_09, 2_69_55, 31_37, 1]   ,       )








'''simple docstring'''




import re





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  list:
   return [char.split() for char in re.split(r"""[^ a-z A-Z 0-9 \s]"""      ,    str_		)]





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  str:
   snake_case 						=   split_input(str_		)
   return "".join(
       ["""""".join([char.capitalize() for char in sub_str]		) for sub_str in string_split]		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							bool      ,    __lowerCAmelCase       :							str		)		->  str:
   try:
      snake_case 						=   split_input(__lowerCAmelCase		)
      if upper:
         snake_case 						=   """""".join(
             [
                 separator.join([char.upper() for char in sub_str]		)
                 for sub_str in string_split
             ]		)
      else:
         snake_case 						=   """""".join(
             [
                 separator.join([char.lower() for char in sub_str]		)
                 for sub_str in string_split
             ]		)
      return res_str
   except IndexError:
      return "not valid string"





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  str:
   return to_simple_case(__lowerCAmelCase		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  str:
   try:
      snake_case 						=   to_simple_case(__lowerCAmelCase		)
      return res_str[0].lower() + res_str[1:]
   except IndexError:
      return "not valid string"





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							bool		)		->  str:
   return to_complex_case(__lowerCAmelCase      ,    __lowerCAmelCase      ,    """_"""		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							bool		)		->  str:
   return to_complex_case(__lowerCAmelCase      ,    __lowerCAmelCase      ,    """-"""		)


if __name__ == "__main__":
 __import__("doctest").testmod()

