
'''simple docstring'''

import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class      a_     (lowerCAmelCase_							,	unittest.TestCase			):
       __lowerCAmelCase			: int			=					MobileBertTokenizer
       __lowerCAmelCase			: List[Any]			=					MobileBertTokenizerFast
       __lowerCAmelCase			: Tuple			=					True
       __lowerCAmelCase			: Any			=					True
       __lowerCAmelCase			: Optional[Any]			=					filter_non_english
       __lowerCAmelCase			: str			=					"""google/mobilebert-uncased"""




       def 							__UpperCamelCase				(   self     ):
         super().setUp()

         _lowerCAmelCase				:     int       =    [
             """[UNK]""",
             """[CLS]""",
             """[SEP]""",
             """[PAD]""",
             """[MASK]""",
             """want""",
             """##want""",
             """##ed""",
             """wa""",
             """un""",
             """runn""",
             """##ing""",
             """,""",
             """low""",
             """lowest""",
         ]
         _lowerCAmelCase				:     str       =    os.path.join(self.tmpdirname      ,      VOCAB_FILES_NAMES["""vocab_file"""]     )
         with open(self.vocab_file      ,      """w"""      ,      encoding="""utf-8"""     ) as vocab_writer:
           vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]     )     )

         _lowerCAmelCase				:     str       =    [
             (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
             for tokenizer_def in self.tokenizers_list
         ]




       def 							__UpperCamelCase				(   self      ,      snake_case_     ):
         _lowerCAmelCase				:     List[Any]       =    """UNwant\u00E9d,running"""
         _lowerCAmelCase				:     str       =    """unwanted, running"""
         return input_text, output_text




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Optional[int]       =    self.tokenizer_class(self.vocab_file     )

         _lowerCAmelCase				:     Optional[Any]       =    tokenizer.tokenize("""UNwant\u00E9d,running"""     )
         self.assertListEqual(__snake_case      ,      ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]     )
         self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case     )      ,      [9, 6, 7, 1_2, 1_0, 1_1]     )




       def 							__UpperCamelCase				(   self     ):
         if not self.test_rust_tokenizer:
           return

         _lowerCAmelCase				:     Tuple       =    self.get_tokenizer()
         _lowerCAmelCase				:     Dict       =    self.get_rust_tokenizer()

         _lowerCAmelCase				:     Union[str, Any]       =    """UNwant\u00E9d,running"""

         _lowerCAmelCase				:     Optional[int]       =    tokenizer.tokenize(__snake_case     )
         _lowerCAmelCase				:     List[Any]       =    rust_tokenizer.tokenize(__snake_case     )
         self.assertListEqual(__snake_case      ,      __snake_case     )

         _lowerCAmelCase				:     Optional[Any]       =    tokenizer.encode(__snake_case      ,      add_special_tokens=__snake_case     )
         _lowerCAmelCase				:     Tuple       =    rust_tokenizer.encode(__snake_case      ,      add_special_tokens=__snake_case     )
         self.assertListEqual(__snake_case      ,      __snake_case     )

         _lowerCAmelCase				:     List[str]       =    self.get_rust_tokenizer()
         _lowerCAmelCase				:     Tuple       =    tokenizer.encode(__snake_case     )
         _lowerCAmelCase				:     List[str]       =    rust_tokenizer.encode(__snake_case     )
         self.assertListEqual(__snake_case      ,      __snake_case     )

         # With lower casing
         _lowerCAmelCase				:     Dict       =    self.get_tokenizer(do_lower_case=__snake_case     )
         _lowerCAmelCase				:     int       =    self.get_rust_tokenizer(do_lower_case=__snake_case     )

         _lowerCAmelCase				:     Dict       =    """UNwant\u00E9d,running"""

         _lowerCAmelCase				:     str       =    tokenizer.tokenize(__snake_case     )
         _lowerCAmelCase				:     List[str]       =    rust_tokenizer.tokenize(__snake_case     )
         self.assertListEqual(__snake_case      ,      __snake_case     )

         _lowerCAmelCase				:     Any       =    tokenizer.encode(__snake_case      ,      add_special_tokens=__snake_case     )
         _lowerCAmelCase				:     Union[str, Any]       =    rust_tokenizer.encode(__snake_case      ,      add_special_tokens=__snake_case     )
         self.assertListEqual(__snake_case      ,      __snake_case     )

         _lowerCAmelCase				:     Optional[int]       =    self.get_rust_tokenizer()
         _lowerCAmelCase				:     Optional[int]       =    tokenizer.encode(__snake_case     )
         _lowerCAmelCase				:     List[str]       =    rust_tokenizer.encode(__snake_case     )
         self.assertListEqual(__snake_case      ,      __snake_case     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     str       =    BasicTokenizer()

         self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""     )      ,      ["""ah""", """\u535A""", """\u63A8""", """zz"""]     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Union[str, Any]       =    BasicTokenizer(do_lower_case=__snake_case     )

         self.assertListEqual(
             tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """     )      ,      ["""hello""", """!""", """how""", """are""", """you""", """?"""]     )
         self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""     )      ,      ["""hello"""]     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Optional[Any]       =    BasicTokenizer(do_lower_case=__snake_case      ,      strip_accents=__snake_case     )

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )      ,      ["""hällo""", """!""", """how""", """are""", """you""", """?"""]     )
         self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""     )      ,      ["""h\u00E9llo"""]     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Optional[int]       =    BasicTokenizer(do_lower_case=__snake_case      ,      strip_accents=__snake_case     )

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )      ,      ["""hallo""", """!""", """how""", """are""", """you""", """?"""]     )
         self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""     )      ,      ["""hello"""]     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Union[str, Any]       =    BasicTokenizer(do_lower_case=__snake_case     )

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )      ,      ["""hallo""", """!""", """how""", """are""", """you""", """?"""]     )
         self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""     )      ,      ["""hello"""]     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Dict       =    BasicTokenizer(do_lower_case=__snake_case     )

         self.assertListEqual(
             tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """     )      ,      ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Any       =    BasicTokenizer(do_lower_case=__snake_case      ,      strip_accents=__snake_case     )

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )      ,      ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Optional[int]       =    BasicTokenizer(do_lower_case=__snake_case      ,      strip_accents=__snake_case     )

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )      ,      ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     int       =    BasicTokenizer(do_lower_case=__snake_case      ,      never_split=["""[UNK]"""]     )

         self.assertListEqual(
             tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""     )      ,      ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Union[str, Any]       =    ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

         _lowerCAmelCase				:     Tuple       =    {}
         for i, token in enumerate(__snake_case     ):
           _lowerCAmelCase				:     str       =    i
         _lowerCAmelCase				:     Dict       =    WordpieceTokenizer(vocab=__snake_case      ,      unk_token="""[UNK]"""     )

         self.assertListEqual(tokenizer.tokenize(""""""     )      ,      []     )

         self.assertListEqual(tokenizer.tokenize("""unwanted running"""     )      ,      ["""un""", """##want""", """##ed""", """runn""", """##ing"""]     )

         self.assertListEqual(tokenizer.tokenize("""unwantedX running"""     )      ,      ["""[UNK]""", """runn""", """##ing"""]     )




       def 							__UpperCamelCase				(   self     ):
         self.assertTrue(_is_whitespace(""" """     )     )
         self.assertTrue(_is_whitespace("""\t"""     )     )
         self.assertTrue(_is_whitespace("""\r"""     )     )
         self.assertTrue(_is_whitespace("""\n"""     )     )
         self.assertTrue(_is_whitespace("""\u00A0"""     )     )

         self.assertFalse(_is_whitespace("""A"""     )     )
         self.assertFalse(_is_whitespace("""-"""     )     )




       def 							__UpperCamelCase				(   self     ):
         self.assertTrue(_is_control("""\u0005"""     )     )

         self.assertFalse(_is_control("""A"""     )     )
         self.assertFalse(_is_control(""" """     )     )
         self.assertFalse(_is_control("""\t"""     )     )
         self.assertFalse(_is_control("""\r"""     )     )




       def 							__UpperCamelCase				(   self     ):
         self.assertTrue(_is_punctuation("""-"""     )     )
         self.assertTrue(_is_punctuation("""$"""     )     )
         self.assertTrue(_is_punctuation("""`"""     )     )
         self.assertTrue(_is_punctuation("""."""     )     )

         self.assertFalse(_is_punctuation("""A"""     )     )
         self.assertFalse(_is_punctuation(""" """     )     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     List[str]       =    self.get_tokenizer()
         _lowerCAmelCase				:     Union[str, Any]       =    self.get_rust_tokenizer()

         # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
         self.assertListEqual([tokenizer.tokenize(__snake_case     ) for t in ["""Test""", """\xad""", """test"""]]      ,      [["""[UNK]"""], [], ["""[UNK]"""]]     )

         self.assertListEqual(
             [rust_tokenizer.tokenize(__snake_case     ) for t in ["""Test""", """\xad""", """test"""]]      ,      [["""[UNK]"""], [], ["""[UNK]"""]]     )




       @slow
       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Optional[Any]       =    self.tokenizer_class.from_pretrained("""google/mobilebert-uncased"""     )

         _lowerCAmelCase				:     int       =    tokenizer.encode("""sequence builders"""      ,      add_special_tokens=__snake_case     )
         _lowerCAmelCase				:     int       =    tokenizer.encode("""multi-sequence build"""      ,      add_special_tokens=__snake_case     )

         _lowerCAmelCase				:     Optional[Any]       =    tokenizer.build_inputs_with_special_tokens(__snake_case     )
         _lowerCAmelCase				:     Optional[int]       =    tokenizer.build_inputs_with_special_tokens(__snake_case      ,      __snake_case     )

         assert encoded_sentence == [1_0_1] + text + [1_0_2]
         assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]




       def 							__UpperCamelCase				(   self     ):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'     ):
             _lowerCAmelCase				:     Optional[Any]       =    self.rust_tokenizer_class.from_pretrained(__snake_case      ,      **__snake_case     )

             _lowerCAmelCase				:     List[Any]       =    f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
             _lowerCAmelCase				:     Union[str, Any]       =    tokenizer_r.encode_plus(
                 __snake_case      ,      return_attention_mask=__snake_case      ,      return_token_type_ids=__snake_case      ,      return_offsets_mapping=__snake_case      ,      add_special_tokens=__snake_case      ,      )

             _lowerCAmelCase				:     Union[str, Any]       =    tokenizer_r.do_lower_case if hasattr(__snake_case      ,      """do_lower_case"""     ) else False
             _lowerCAmelCase				:     Tuple       =    (
                 [
                     ((0, 0), tokenizer_r.cls_token),
                     ((0, 1), """A"""),
                     ((1, 2), ""","""),
                     ((3, 5), """na"""),
                     ((5, 6), """##ï"""),
                     ((6, 8), """##ve"""),
                     ((9, 1_5), tokenizer_r.mask_token),
                     ((1_6, 2_1), """Allen"""),
                     ((2_1, 2_3), """##NL"""),
                     ((2_3, 2_4), """##P"""),
                     ((2_5, 3_3), """sentence"""),
                     ((3_3, 3_4), """."""),
                     ((0, 0), tokenizer_r.sep_token),
                 ]
                 if not do_lower_case
                 else [
                     ((0, 0), tokenizer_r.cls_token),
                     ((0, 1), """a"""),
                     ((1, 2), ""","""),
                     ((3, 8), """naive"""),
                     ((9, 1_5), tokenizer_r.mask_token),
                     ((1_6, 2_1), """allen"""),
                     ((2_1, 2_3), """##nl"""),
                     ((2_3, 2_4), """##p"""),
                     ((2_5, 3_3), """sentence"""),
                     ((3_3, 3_4), """."""),
                     ((0, 0), tokenizer_r.sep_token),
                 ]
             )

             self.assertEqual(
                 [e[1] for e in expected_results]      ,      tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]     )     )
             self.assertEqual([e[0] for e in expected_results]      ,      tokens["""offset_mapping"""]     )







       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Union[str, Any]       =    ["""的""", """人""", """有"""]
         _lowerCAmelCase				:     Optional[int]       =    """""".join(__snake_case     )
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'     ):
             _lowerCAmelCase				:     Union[str, Any]       =    True
             _lowerCAmelCase				:     Dict       =    self.tokenizer_class.from_pretrained(__snake_case      ,      **__snake_case     )
             _lowerCAmelCase				:     Any       =    self.rust_tokenizer_class.from_pretrained(__snake_case      ,      **__snake_case     )

             _lowerCAmelCase				:     List[str]       =    tokenizer_p.encode(__snake_case      ,      add_special_tokens=__snake_case     )
             _lowerCAmelCase				:     Tuple       =    tokenizer_r.encode(__snake_case      ,      add_special_tokens=__snake_case     )

             _lowerCAmelCase				:     Any       =    tokenizer_r.convert_ids_to_tokens(__snake_case     )
             _lowerCAmelCase				:     List[str]       =    tokenizer_p.convert_ids_to_tokens(__snake_case     )

             # it is expected that each Chinese character is not preceded by "##"
             self.assertListEqual(__snake_case      ,      __snake_case     )
             self.assertListEqual(__snake_case      ,      __snake_case     )

             _lowerCAmelCase				:     List[str]       =    False
             _lowerCAmelCase				:     Optional[Any]       =    self.rust_tokenizer_class.from_pretrained(__snake_case      ,      **__snake_case     )
             _lowerCAmelCase				:     Any       =    self.tokenizer_class.from_pretrained(__snake_case      ,      **__snake_case     )

             _lowerCAmelCase				:     List[Any]       =    tokenizer_r.encode(__snake_case      ,      add_special_tokens=__snake_case     )
             _lowerCAmelCase				:     Optional[int]       =    tokenizer_p.encode(__snake_case      ,      add_special_tokens=__snake_case     )

             _lowerCAmelCase				:     str       =    tokenizer_r.convert_ids_to_tokens(__snake_case     )
             _lowerCAmelCase				:     Dict       =    tokenizer_p.convert_ids_to_tokens(__snake_case     )

             # it is expected that only the first Chinese character is not preceded by "##".
             _lowerCAmelCase				:     List[Any]       =    [
                 f'##{token}' if idx != 0 else token for idx, token in enumerate(__snake_case     )
             ]
             self.assertListEqual(__snake_case      ,      __snake_case     )
             self.assertListEqual(__snake_case      ,      __snake_case     )





import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCAmelCase					:			Optional[int]  				=			logging.get_logger(__name__)

_lowerCAmelCase					:			List[str]  				=			{
    "microsoft/git-base": "https://huggingface.co/microsoft/git-base/resolve/main/config.json",
}






class 	__magic_name__    (			lowerCAmelCase_      ):
			SCREAMING_SNAKE_CASE							   =						'git_vision_model'





			def __init__(		self					,  __snake_case=768					,  __snake_case=3072					,  __snake_case=12					,  __snake_case=12					,  __snake_case=3					,  __snake_case=224					,  __snake_case=16					,  __snake_case="quick_gelu"					,  __snake_case=1e-5					,  __snake_case=0.0					,  __snake_case=0.02					,  **__snake_case					,  )   -> int:




						'''simple docstring'''
						super().__init__(**__snake_case					)

						__a        =hidden_size
						__a        =intermediate_size
						__a        =num_hidden_layers
						__a        =num_attention_heads
						__a        =num_channels
						__a        =patch_size
						__a        =image_size
						__a        =initializer_range
						__a        =attention_dropout
						__a        =layer_norm_eps
						__a        =hidden_act





			@classmethod
			def 		__magic_name__    (		cls					,  __snake_case					,  **__snake_case					)   -> "PretrainedConfig":




						'''simple docstring'''
						cls._set_token_in_kwargs(__snake_case					)

						__a      ,    __a        =cls.get_config_dict(__snake_case					,  **__snake_case					)

						# get the vision config dict if we are loading from GITConfig
						if config_dict.get('model_type'					) == "git":
									__a        =config_dict['vision_config']

						if "model_type" in config_dict and hasattr(cls					,  'model_type'					) and config_dict["model_type"] != cls.model_type:
									logger.warning(
									    f'You are using a model of type {config_dict["model_type"]} to instantiate a model of type '
									    f'{cls.model_type}. This is not supported for all configurations of models and can yield errors.'					)

						return cls.from_dict(__snake_case					,  **__snake_case					)






class 	__magic_name__    (			lowerCAmelCase_      ):
			SCREAMING_SNAKE_CASE							   =						'git'





			def __init__(		self					,  __snake_case=None					,  __snake_case=3_0522					,  __snake_case=768					,  __snake_case=6					,  __snake_case=12					,  __snake_case=3072					,  __snake_case="gelu"					,  __snake_case=0.1					,  __snake_case=0.1					,  __snake_case=1024					,  __snake_case=0.02					,  __snake_case=1e-12					,  __snake_case=0					,  __snake_case="absolute"					,  __snake_case=True					,  __snake_case=False					,  __snake_case=101					,  __snake_case=102					,  __snake_case=None					,  **__snake_case					,  )   -> Optional[int]:




						'''simple docstring'''
						super().__init__(bos_token_id=__snake_case					,  eos_token_id=__snake_case					,  pad_token_id=__snake_case					,  **__snake_case					)

						if vision_config is None:
									__a        ={}
									logger.info('vision_config is None. initializing the GitVisionConfig with default values.'					)

						__a        =GitVisionConfig(**__snake_case					)
						__a        =vocab_size
						__a        =hidden_size
						__a        =num_hidden_layers
						__a        =num_attention_heads
						__a        =hidden_act
						__a        =intermediate_size
						__a        =hidden_dropout_prob
						__a        =attention_probs_dropout_prob
						__a        =max_position_embeddings
						__a        =initializer_range
						__a        =layer_norm_eps
						__a        =position_embedding_type
						__a        =use_cache
						__a        =tie_word_embeddings
						__a        =num_image_with_embedding

						__a        =bos_token_id
						__a        =eos_token_id





			def 		__magic_name__    (		self					)   -> Optional[Any]:




						'''simple docstring'''
						__a        =copy.deepcopy(self.__dict__					)
						__a        =self.vision_config.to_dict()
						__a        =self.__class__.model_type
						return output






