




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


SCREAMING_SNAKE_CASE:    List[str]											=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE:    int											=   {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE:    Union[str, Any]											=   {
    '''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'''
        ),
    },
}

SCREAMING_SNAKE_CASE:    Dict											=   {
    '''openai/clip-vit-base-patch32''': 7_7,
}



class       lowercase_		(SCREAMING_SNAKE_CASE__   ):
						lowerCAmelCase__ 			=VOCAB_FILES_NAMES
						lowerCAmelCase__ 			=PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase__ 			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCAmelCase__ 			=["input_ids", "attention_mask"]
						lowerCAmelCase__ 			=CLIPTokenizer



						def __init__( self  :      Optional[int]				,       snake_case__  :      str=None				,       snake_case__  :      Any=None				,       snake_case__  :      Optional[Any]=None				,       snake_case__  :      Dict="<|endoftext|>"				,       snake_case__  :      Tuple="<|startoftext|>"				,       snake_case__  :      Optional[int]="<|endoftext|>"				,       snake_case__  :      Dict="<|endoftext|>"				,       **snake_case__  :      Optional[int]				,       ):

								"""simple docstring"""

								super().__init__(
								    snake_case__				,       snake_case__				,       tokenizer_file=snake_case__				,       unk_token=snake_case__				,       bos_token=snake_case__				,       eos_token=snake_case__				,       pad_token=snake_case__				,       **snake_case__				,       )

								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   __a				( self  :      Any     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.backend_tokenizer.decode

								def new_decode_method(*snake_case__  :      Any				,       **snake_case__  :      List[str]     ):
										SCREAMING_SNAKE_CASE_							=       orig_decode_method(*snake_case__				,       **snake_case__     )
										SCREAMING_SNAKE_CASE_							=       text.replace(self.backend_tokenizer.model.end_of_word_suffix				,       ' '     ).strip()
										return text

								SCREAMING_SNAKE_CASE_							=       new_decode_method



						def   __a				( self  :      Tuple				,       snake_case__  :      List[int]				,       snake_case__  :      Optional[List[int]] = None     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       [self.bos_token_id]
								SCREAMING_SNAKE_CASE_							=       [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   __a				( self  :      Optional[int]				,       snake_case__  :      List[int]				,       snake_case__  :      Optional[List[int]] = None     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       [self.bos_token_id]
								SCREAMING_SNAKE_CASE_							=       [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   __a				( self  :      Optional[int]				,       snake_case__  :      str				,       snake_case__  :      Optional[str] = None     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self._tokenizer.model.save(snake_case__				,       name=snake_case__     )
								return tuple(snake_case__     )











from __future__ import annotations


def 				_a       (				lowerCAmelCase   )->  list[int]:
		if not list_of_ints:
				return []

		if min(lowerCAmelCase   ) < 0:
				raise ValueError('All numbers must be positive'   )

		SCREAMING_SNAKE_CASE_							=       max(len(bin(lowerCAmelCase   )[2:]   ) for x in list_of_ints   )
		return _msd_radix_sort(lowerCAmelCase						,	lowerCAmelCase   )


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  list[int]:
		if bit_position == 0 or len(lowerCAmelCase   ) in [0, 1]:
				return list_of_ints

		SCREAMING_SNAKE_CASE_							=       []
		SCREAMING_SNAKE_CASE_							=       []
		# Split numbers based on bit at bit_position from the right
		for number in list_of_ints:
				if (number >> (bit_position - 1)) & 1:
						# number has a one at bit bit_position
						ones.append(lowerCAmelCase   )
				else:
						# number has a zero at bit bit_position
						zeros.append(lowerCAmelCase   )

    # recursively split both lists further
		SCREAMING_SNAKE_CASE_							=       _msd_radix_sort(lowerCAmelCase						,	bit_position - 1   )
		SCREAMING_SNAKE_CASE_							=       _msd_radix_sort(lowerCAmelCase						,	bit_position - 1   )

		# recombine lists
		SCREAMING_SNAKE_CASE_							=       zeros
		res.extend(lowerCAmelCase   )

		return res


def 				_a       (				lowerCAmelCase   )->  Dict:
		SCREAMING_SNAKE_CASE_							=       len(lowerCAmelCase   )
		if not list_of_ints or length == 1:
				return

		if min(lowerCAmelCase   ) < 0:
				raise ValueError('All numbers must be positive'   )

		SCREAMING_SNAKE_CASE_							=       max(len(bin(lowerCAmelCase   )[2:]   ) for x in list_of_ints   )
		_msd_radix_sort_inplace(lowerCAmelCase						,	lowerCAmelCase						,	0						,	lowerCAmelCase   )


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase   )->  Optional[int]:
		if bit_position == 0 or end_index - begin_index <= 1:
				return

		bit_position -= 1

		SCREAMING_SNAKE_CASE_							=       begin_index
		SCREAMING_SNAKE_CASE_							=       end_index - 1
		while i <= j:
				SCREAMING_SNAKE_CASE_							=       False
				if not (list_of_ints[i] >> bit_position) & 1:
						# found zero at the beginning
						i += 1
						SCREAMING_SNAKE_CASE_							=       True
				if (list_of_ints[j] >> bit_position) & 1:
						# found one at the end
						j -= 1
						SCREAMING_SNAKE_CASE_							=       True

				if changed:
						continue

				SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       list_of_ints[j], list_of_ints[i]
				j -= 1
				if j != i:
						i += 1

		_msd_radix_sort_inplace(lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase   )
		_msd_radix_sort_inplace(lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase   )


if __name__ == "__main__":
						import doctest

						doctest.testmod()