


'''simple docstring'''



class        UpperCAmelCase_  :





    """simple docstring"""






    def __init__(							self      ,					SCREAMING_SNAKE_CASE_     )    ->					str:
         __lowerCamelCase       :     List[str]        =		val
         # Number of nodes in left subtree
         __lowerCamelCase       :     Optional[Any]        =		0
         __lowerCamelCase       :     int        =		None
         __lowerCamelCase       :     Tuple        =		None
         __lowerCamelCase       :     int        =		None







    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_     )    ->					int:
         assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

         if self.val < other.val:
              __lowerCamelCase       :     int        =		self.right
              __lowerCamelCase       :     List[Any]        =		None
              if self.right:
                   __lowerCamelCase       :     Dict        =		other
              __lowerCamelCase       :     List[str]        =		other
              __lowerCamelCase       :     Tuple        =		self.left_tree_size * 2 + 1
              return self
         else:
              __lowerCamelCase       :     Tuple        =		other.right
              __lowerCamelCase       :     Optional[int]        =		None
              if other.right:
                   __lowerCamelCase       :     List[str]        =		self
              __lowerCamelCase       :     Optional[Any]        =		self
              __lowerCamelCase       :     int        =		other.left_tree_size * 2 + 1
              return other







class        UpperCAmelCase_  :





    """simple docstring"""






    def __init__(							self      ,					SCREAMING_SNAKE_CASE_=None      ,					SCREAMING_SNAKE_CASE_=None      ,					SCREAMING_SNAKE_CASE_=0     )    ->					str:
         __lowerCamelCase       :     Optional[Any]        =		heap_size
         __lowerCamelCase       :     Union[str, Any]        =		bottom_root
         __lowerCamelCase       :     List[str]        =		min_node







    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_     )    ->					Optional[Any]:

         # Empty heaps corner cases
         if other.size == 0:
              return None
         if self.size == 0:
              __lowerCamelCase       :     Tuple        =		other.size
              __lowerCamelCase       :     str        =		other.bottom_root
              __lowerCamelCase       :     Union[str, Any]        =		other.min_node
              return None
         # Update size
         __lowerCamelCase       :     Optional[int]        =		self.size + other.size

         # Update min.node
         if self.min_node.val > other.min_node.val:
              __lowerCamelCase       :     List[Any]        =		other.min_node
         # Merge

         # Order roots by left_subtree_size
         __lowerCamelCase       :     Union[str, Any]        =		[]
         __lowerCamelCase    ,	__lowerCamelCase       :     Any        =		self.bottom_root, other.bottom_root
         while i or j:
              if i and ((not j) or i.left_tree_size < j.left_tree_size):
                   combined_roots_list.append((i, True)     )
                   __lowerCamelCase       :     Any        =		i.parent
              else:
                   combined_roots_list.append((j, False)     )
                   __lowerCamelCase       :     Tuple        =		j.parent
        # Insert links between them
         for i in range(len(SCREAMING_SNAKE_CASE_     ) - 1     ):
              if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
                   __lowerCamelCase       :     Tuple        =		combined_roots_list[i + 1][0]
                   __lowerCamelCase       :     Tuple        =		combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
         __lowerCamelCase       :     str        =		combined_roots_list[0][0]
         while i.parent:
              if (
                  (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
              ) or (
                  i.left_tree_size == i.parent.left_tree_size
                  and i.left_tree_size != i.parent.parent.left_tree_size
              ):
                   # Neighbouring Nodes
                   __lowerCamelCase       :     Optional[int]        =		i.left
                   __lowerCamelCase       :     str        =		i.parent.parent

                   # Merging trees
                   __lowerCamelCase       :     str        =		i.merge_trees(i.parent     )

                   # Updating links
                   __lowerCamelCase       :     Any        =		previous_node
                   __lowerCamelCase       :     str        =		next_node
                   if previous_node:
                        __lowerCamelCase       :     Tuple        =		i
                   if next_node:
                        __lowerCamelCase       :     int        =		i
              else:
                   __lowerCamelCase       :     List[Any]        =		i.parent
        # Updating self.bottom_root
         while i.left:
              __lowerCamelCase       :     int        =		i.left
         __lowerCamelCase       :     Any        =		i

         # Update other
         __lowerCamelCase       :     Union[str, Any]        =		self.size
         __lowerCamelCase       :     List[Any]        =		self.bottom_root
         __lowerCamelCase       :     int        =		self.min_node

         # Return the merged heap
         return self







    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_     )    ->					Any:
         if self.size == 0:
              __lowerCamelCase       :     int        =		Node(SCREAMING_SNAKE_CASE_     )
              __lowerCamelCase       :     Any        =		1
              __lowerCamelCase       :     Union[str, Any]        =		self.bottom_root
         else:
              # Create new node
              __lowerCamelCase       :     Dict        =		Node(SCREAMING_SNAKE_CASE_     )

              # Update size
              self.size += 1

              # update min_node
              if val < self.min_node.val:
                   __lowerCamelCase       :     Tuple        =		new_node
              # Put new_node as a bottom_root in heap
              __lowerCamelCase       :     Optional[Any]        =		new_node
              __lowerCamelCase       :     List[str]        =		self.bottom_root
              __lowerCamelCase       :     Tuple        =		new_node

              # Consecutively merge roots with same left_tree_size
              while (
                  self.bottom_root.parent
                  and self.bottom_root.left_tree_size
                  == self.bottom_root.parent.left_tree_size
              ):
                   # Next node
                   __lowerCamelCase       :     Optional[Any]        =		self.bottom_root.parent.parent

                   # Merge
                   __lowerCamelCase       :     Optional[Any]        =		self.bottom_root.merge_trees(self.bottom_root.parent     )

                   # Update Links
                   __lowerCamelCase       :     Optional[int]        =		next_node
                   __lowerCamelCase       :     Tuple        =		None
                   if next_node:
                        __lowerCamelCase       :     Dict        =		self.bottom_root







    def 				lowercase_    (							self     )    ->					Any:
         return self.min_node.val







    def 				lowercase_    (							self     )    ->					List[str]:
         return self.size == 0







    def 				lowercase_    (							self     )    ->					Optional[Any]:
         __lowerCamelCase       :     Tuple        =		self.min_node.val

         # Last element in heap corner case
         if self.size == 1:
              # Update size
              __lowerCamelCase       :     Union[str, Any]        =		0

              # Update bottom root
              __lowerCamelCase       :     List[Any]        =		None

              # Update min_node
              __lowerCamelCase       :     Union[str, Any]        =		None

              return min_value
         # No right subtree corner case
         # The structure of the tree implies that this should be the bottom root
         # and there is at least one other root
         if self.min_node.right is None:
              # Update size
              self.size -= 1

              # Update bottom root
              __lowerCamelCase       :     List[Any]        =		self.bottom_root.parent
              __lowerCamelCase       :     Optional[int]        =		None

              # Update min_node
              __lowerCamelCase       :     Union[str, Any]        =		self.bottom_root
              __lowerCamelCase       :     Tuple        =		self.bottom_root.parent
              while i:
                   if i.val < self.min_node.val:
                        __lowerCamelCase       :     Optional[Any]        =		i
                   __lowerCamelCase       :     Tuple        =		i.parent
              return min_value
         # General case
         # Find the BinomialHeap of the right subtree of min_node
         __lowerCamelCase       :     List[Any]        =		self.min_node.right
         __lowerCamelCase       :     Dict        =		None
         __lowerCamelCase       :     Union[str, Any]        =		bottom_of_new
         __lowerCamelCase       :     Optional[Any]        =		1

         # Size, min_node and bottom_root
         while bottom_of_new.left:
              __lowerCamelCase       :     Optional[int]        =		size_of_new * 2 + 1
              __lowerCamelCase       :     Optional[Any]        =		bottom_of_new.left
              if bottom_of_new.val < min_of_new.val:
                   __lowerCamelCase       :     Tuple        =		bottom_of_new
        # Corner case of single root on top left path
         if (not self.min_node.left) and (not self.min_node.parent):
              __lowerCamelCase       :     List[Any]        =		size_of_new
              __lowerCamelCase       :     int        =		bottom_of_new
              __lowerCamelCase       :     Tuple        =		min_of_new
              # print("Single root, multiple nodes case")
              return min_value
         # Remaining cases
         # Construct heap of right subtree
         __lowerCamelCase       :     List[str]        =		BinomialHeap(
             bottom_root=SCREAMING_SNAKE_CASE_      ,					min_node=SCREAMING_SNAKE_CASE_      ,					heap_size=SCREAMING_SNAKE_CASE_     )

         # Update size
         __lowerCamelCase       :     List[str]        =		self.size - 1 - size_of_new

         # Neighbour nodes
         __lowerCamelCase       :     Optional[Any]        =		self.min_node.left
         __lowerCamelCase       :     List[Any]        =		self.min_node.parent

         # Initialize new bottom_root and min_node
         __lowerCamelCase       :     List[str]        =		previous_node or next_node
         __lowerCamelCase       :     Optional[Any]        =		next_node

         # Update links of previous_node and search below for new min_node and
         # bottom_root
         if previous_node:
              __lowerCamelCase       :     Tuple        =		next_node

              # Update bottom_root and search for min_node below
              __lowerCamelCase       :     Union[str, Any]        =		previous_node
              __lowerCamelCase       :     Union[str, Any]        =		previous_node
              while self.bottom_root.left:
                   __lowerCamelCase       :     Dict        =		self.bottom_root.left
                   if self.bottom_root.val < self.min_node.val:
                        __lowerCamelCase       :     List[Any]        =		self.bottom_root
         if next_node:
              __lowerCamelCase       :     Tuple        =		previous_node

              # Search for new min_node above min_node
              __lowerCamelCase       :     List[Any]        =		next_node
              while i:
                   if i.val < self.min_node.val:
                        __lowerCamelCase       :     int        =		i
                   __lowerCamelCase       :     str        =		i.parent
        # Merge heaps
         self.merge_heaps(SCREAMING_SNAKE_CASE_     )

         return min_value







    def 				lowercase_    (							self     )    ->					List[Any]:
         __lowerCamelCase       :     Any        =		self.bottom_root
         while top_root.parent:
              __lowerCamelCase       :     Any        =		top_root.parent
         # preorder
         __lowerCamelCase       :     int        =		[]
         self.__traversal(SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_     )
         return heap_pre_order







    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_=0     )    ->					Union[str, Any]:
         if curr_node:
              preorder.append((curr_node.val, level)     )
              self.__traversal(curr_node.left      ,					SCREAMING_SNAKE_CASE_      ,					level + 1     )
              self.__traversal(curr_node.right      ,					SCREAMING_SNAKE_CASE_      ,					level + 1     )
         else:
              preorder.append(('#', level)     )







    def __str__(							self     )    ->					Any:
         if self.is_empty():
              return ""
         __lowerCamelCase       :     Any        =		self.pre_order()

         return "\n".join(('-' * level + str(SCREAMING_SNAKE_CASE_     )) for value, level in preorder_heap     )


# Unit Tests
if __name__ == "__main__":
      import doctest

      doctest.testmod()










'''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


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

A__		: Optional[Any]												=  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

A__		: Optional[int]												=  {
    """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"""
        ),
    },
}

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





class        UpperCAmelCase_  (_UpperCAmelCase  ):





    """simple docstring"""






    lowerCamelCase  : Union[str, Any]												=      VOCAB_FILES_NAMES
    lowerCamelCase  : Optional[int]												=      PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase  : str												=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase  : Union[str, Any]												=      ['input_ids', 'attention_mask']
    lowerCamelCase  : Optional[Any]												=      CLIPTokenizer







    def __init__(							self      ,					SCREAMING_SNAKE_CASE_=None      ,					SCREAMING_SNAKE_CASE_=None      ,					SCREAMING_SNAKE_CASE_=None      ,					SCREAMING_SNAKE_CASE_="<|endoftext|>"      ,					SCREAMING_SNAKE_CASE_="<|startoftext|>"      ,					SCREAMING_SNAKE_CASE_="<|endoftext|>"      ,					SCREAMING_SNAKE_CASE_="<|endoftext|>"      ,					**SCREAMING_SNAKE_CASE_      ,					)    ->					Union[str, Any]:
         super().__init__(
             SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_      ,					tokenizer_file=SCREAMING_SNAKE_CASE_      ,					unk_token=SCREAMING_SNAKE_CASE_      ,					bos_token=SCREAMING_SNAKE_CASE_      ,					eos_token=SCREAMING_SNAKE_CASE_      ,					pad_token=SCREAMING_SNAKE_CASE_      ,					**SCREAMING_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 				lowercase_    (							self     )    ->					Optional[Any]:
         __lowerCamelCase       :     Union[str, Any]        =		self.backend_tokenizer.decode

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

         __lowerCamelCase       :     Union[str, Any]        =		new_decode_method







    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_ = None     )    ->					List[int]:
         __lowerCamelCase       :     Optional[int]        =		[self.bos_token_id]
         __lowerCamelCase       :     Tuple        =		[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 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_ = None     )    ->					List[int]:
         __lowerCamelCase       :     Dict        =		[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 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_ = None     )    ->					Tuple[str]:
         __lowerCamelCase       :     int        =		self._tokenizer.model.save(SCREAMING_SNAKE_CASE_      ,					name=SCREAMING_SNAKE_CASE_     )
         return tuple(SCREAMING_SNAKE_CASE_     )






