






"""simple docstring"""







from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_clip import CLIPTokenizer


_UpperCamelCase     			=  logging.get_logger(__name__)

_UpperCamelCase     			=  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

_UpperCamelCase     			=  {
    """vocab_file""": {
        """openai/clip-vit-base-patch32""": """https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """openai/clip-vit-base-patch32""": """https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """openai/clip-vit-base-patch32""": (
            """https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/tokenizer.json"""
        ),
    },
}

_UpperCamelCase     			=  {
    """openai/clip-vit-base-patch32""": 77,
}







class 					lowerCamelCase__					(       snake_case ):
    SCREAMING_SNAKE_CASE		=			VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE		=			PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE		=			["input_ids", "attention_mask"]
    SCREAMING_SNAKE_CASE		=			CLIPTokenizer






    def __init__( self	,A=None	,A=None	,A=None	,A="<|endoftext|>"	,A="<|startoftext|>"	,A="<|endoftext|>"	,A="<|endoftext|>"	,**A	,):
          super().__init__(
              lowercase__	,lowercase__	,tokenizer_file=lowercase__	,unk_token=lowercase__	,bos_token=lowercase__	,eos_token=lowercase__	,pad_token=lowercase__	,**lowercase__	,)

          if not isinstance(self.backend_tokenizer.pre_tokenizer	,pre_tokenizers.Sequence					):
                raise ValueError(
                    """The `backend_tokenizer` provided does not match the expected format. The CLIP tokenizer has been"""
                    """ heavily modified from transformers version 4.17.0. You need to convert the tokenizer you are using"""
                    """ to be compatible with this version.The easiest way to do so is"""
                    """ `CLIPTokenizerFast.from_pretrained(\"path_to_local_folder_or_hub_repo, from_slow=True)`. If you want"""
                    """ to use your existing tokenizer, you will have to revert to a version prior to 4.17.0 of"""
                    """ transformers."""					)

          self._wrap_decode_method_backend_tokenizer()






    def 				_UpperCamelCase							( self					):
          UpperCAmelCase							=       self.backend_tokenizer.decode

          def new_decode_method(*A	,**A					):
                UpperCAmelCase							=       orig_decode_method(*lowercase__	,**lowercase__					)
                UpperCAmelCase							=       text.replace(self.backend_tokenizer.model.end_of_word_suffix	,""" """					).strip()
                return text

          UpperCAmelCase							=       new_decode_method






    def 				_UpperCamelCase							( self	,A	,A = None					):
          UpperCAmelCase							=       [self.bos_token_id]
          UpperCAmelCase							=       [self.eos_token_id]

          if token_ids_a is None:
                return bos_token + token_ids_a + eos_token
          return bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token






    def 				_UpperCamelCase							( self	,A	,A = None					):
          UpperCAmelCase							=       [self.bos_token_id]
          UpperCAmelCase							=       [self.eos_token_id]

          if token_ids_a is None:
                return len(bos_token + token_ids_a + eos_token					) * [0]
          return len(bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token					) * [0]






    def 				_UpperCamelCase							( self	,A	,A = None					):
          UpperCAmelCase							=       self._tokenizer.model.save(lowercase__	,name=lowercase__					)
          return tuple(lowercase__					)





"""simple docstring"""




snake_case    =		1_0_0_0

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_			):
					return x * x

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_ = 4			):
					assert callable(
					    SCREAMING_SNAKE_CASE_			), f'''the function(object) passed should be callable your input : {function}'''
					assert isinstance(SCREAMING_SNAKE_CASE_,     (float, int)			), f'''a should be float or integer your input : {a}'''
					assert isinstance(function(SCREAMING_SNAKE_CASE_			),     (float, int)			), (
					    "the function should return integer or float return type of your function, "
					    f'''{type(SCREAMING_SNAKE_CASE_			)}'''
					)
					assert isinstance(SCREAMING_SNAKE_CASE_,     (float, int)			), f'''b should be float or integer your input : {b}'''
					assert (
					    isinstance(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			) and precision > 0
					), f'''precision should be positive integer your input : {precision}'''

					# just applying the formula of simpson for approximate integration written in
					# mentioned article in first comment of this file and above this function

					SCREAMING_SNAKE_CASE				=	(b - a) / N_STEPS
					SCREAMING_SNAKE_CASE				=	function(SCREAMING_SNAKE_CASE_			) + function(SCREAMING_SNAKE_CASE_			)

					for i in range(1,     SCREAMING_SNAKE_CASE_			):
										SCREAMING_SNAKE_CASE				=	a + h * i
										result += function(SCREAMING_SNAKE_CASE_			) * (4 if i % 2 else 2)

					result *= h / 3
					return round(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
