
"""simple docstring"""


def        lowerCAmelCase_       (		snake_case_		:      list      )       ->list:
			for i, _ in enumerate(snake_case_      ):
						if (i % 2 == 1) == (nums[i - 1] > nums[i]):
									lowerCamelCase__	,    lowerCamelCase__     :					Union[str, Any]		=nums[i], nums[i - 1]

			return nums


if __name__ == "__main__":
							print("""Enter the array elements:""")
							lowerCAmelCase								=						list(map(int, input().split()))
							print("""The unsorted array is:""")
							print(array)
							print("""Array after Wiggle sort:""")
							print(wiggle_sort(array))

"""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


lowerCAmelCase								=						logging.get_logger(__name__)

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

lowerCAmelCase								=						{
    """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"""
        ),
    },
}

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

class    A_     (					A__       ):



							"""simple docstring"""






							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  :List[str]					,							lowerCamelCase_  :Tuple=None					,							lowerCamelCase_  :Any=None					,							lowerCamelCase_  :Optional[Any]=None					,							lowerCamelCase_  :List[Any]="<|endoftext|>"					,							lowerCamelCase_  :Tuple="<|startoftext|>"					,							lowerCamelCase_  :Dict="<|endoftext|>"					,							lowerCamelCase_  :str="<|endoftext|>"					,							**lowerCamelCase_  :int					,							):





										"""simple docstring"""

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

										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  :Union[str, Any]	):





										"""simple docstring"""

										lowerCamelCase__     :					List[str]		=self.backend_tokenizer.decode

										def new_decode_method(*lowerCamelCase_  :Optional[int]					,							**lowerCamelCase_  :List[Any]	):
													lowerCamelCase__     :					Any		=orig_decode_method(*lowerCamelCase_					,							**lowerCamelCase_	)
													lowerCamelCase__     :					Optional[int]		=text.replace(self.backend_tokenizer.model.end_of_word_suffix					,							' '	).strip()
													return text

										lowerCamelCase__     :					Optional[Any]		=new_decode_method





							def 				UpperCAmelCase__							(  self  :List[str]					,							lowerCamelCase_  :List[int]					,							lowerCamelCase_  :Optional[List[int]] = None	):





										"""simple docstring"""

										lowerCamelCase__     :					Any		=[self.bos_token_id]
										lowerCamelCase__     :					Any		=[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  :List[Any]					,							lowerCamelCase_  :List[int]					,							lowerCamelCase_  :Optional[List[int]] = None	):





										"""simple docstring"""

										lowerCamelCase__     :					List[str]		=[self.bos_token_id]
										lowerCamelCase__     :					Optional[Any]		=[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  :Tuple					,							lowerCamelCase_  :str					,							lowerCamelCase_  :Optional[str] = None	):





										"""simple docstring"""

										lowerCamelCase__     :					int		=self._tokenizer.model.save(lowerCamelCase_					,							name=lowerCamelCase_	)
										return tuple(lowerCamelCase_	)