



"""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:					Optional[Any]     				=	logging.get_logger(__name__)

_UpperCamelCase:					List[str]     				=	{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

_UpperCamelCase:					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'
        ),
    },
}

_UpperCamelCase:					Optional[Any]     				=	{
    'openai/clip-vit-base-patch32': 7_7,
}


class 	a__		(    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   :				Dict,  lowerCAmelCase   :				Optional[int]=None,  lowerCAmelCase   :				Tuple=None,  lowerCAmelCase   :				int=None,  lowerCAmelCase   :				str="<|endoftext|>",  lowerCAmelCase   :				List[str]="<|startoftext|>",  lowerCAmelCase   :				str="<|endoftext|>",  lowerCAmelCase   :				Tuple="<|endoftext|>",  **lowerCAmelCase   :				List[Any],  )     ->							Any:
         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 							lowercase					(				self   :				Optional[int]      )     ->							List[str]:
         lowercase	:   Tuple											= self.backend_tokenizer.decode

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

         lowercase	:   Optional[int]											= new_decode_method


   def 							lowercase					(				self   :				Optional[int],  lowerCAmelCase   :				List[int],  lowerCAmelCase   :				Optional[List[int]] = None      )     ->							List[int]:
         lowercase	:   List[str]											= [self.bos_token_id]
         lowercase	:   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 							lowercase					(				self   :				str,  lowerCAmelCase   :				List[int],  lowerCAmelCase   :				Optional[List[int]] = None      )     ->							List[int]:
         lowercase	:   Optional[int]											= [self.bos_token_id]
         lowercase	:   int											= [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   :				int,  lowerCAmelCase   :				str,  lowerCAmelCase   :				Optional[str] = None      )     ->							Tuple[str]:
         lowercase	:   Union[str, Any]											= self._tokenizer.model.save(lowerCAmelCase,  name=lowerCAmelCase      )
         return tuple(lowerCAmelCase      )





"""simple docstring"""




from __future__ import annotations

from collections import defaultdict
from dataclasses import dataclass


@dataclass
class 	a__		:
   _lowerCamelCase       				=					42
   _lowerCamelCase       				=					None
   _lowerCamelCase       				=					None




def 	lowercase__  (      )  ->      TreeNode:






      '''simple docstring'''


      return TreeNode(3						,   TreeNode(9					)						,   TreeNode(20						,   TreeNode(15					)						,   TreeNode(7					)					)					)


def 	lowercase__  (      _UpperCAmelCase					)  ->      list[int]:






      '''simple docstring'''


      def depth_first_search(
          _UpperCAmelCase						,   _UpperCAmelCase						,   _UpperCAmelCase					) -> None:
            if not root:
                  return

            if depth == len(_UpperCAmelCase					):
                  right_view.append(root.val					)

            depth_first_search(root.right						,   depth + 1						,   _UpperCAmelCase					)
            depth_first_search(root.left						,   depth + 1						,   _UpperCAmelCase					)

      lowercase	:   list											= []
      if not root:
            return right_view

      depth_first_search(_UpperCAmelCase						,   0						,   _UpperCAmelCase					)
      return right_view


def 	lowercase__  (      _UpperCAmelCase					)  ->      list[int]:






      '''simple docstring'''


      def depth_first_search(
          _UpperCAmelCase						,   _UpperCAmelCase						,   _UpperCAmelCase					) -> None:
            if not root:
                  return

            if depth == len(_UpperCAmelCase					):
                  left_view.append(root.val					)

            depth_first_search(root.left						,   depth + 1						,   _UpperCAmelCase					)
            depth_first_search(root.right						,   depth + 1						,   _UpperCAmelCase					)

      lowercase	:   list											= []
      if not root:
            return left_view

      depth_first_search(_UpperCAmelCase						,   0						,   _UpperCAmelCase					)
      return left_view


def 	lowercase__  (      _UpperCAmelCase					)  ->      list[int]:






      '''simple docstring'''


      def breadth_first_search(_UpperCAmelCase						,   _UpperCAmelCase					) -> None:
            lowercase	:   List[str]											= [(root, 0)]
            lowercase	:   List[Any]											= defaultdict(_UpperCAmelCase					)

            while queue:
                  lowercase	:   Union[str, Any]											= queue.pop(0					)
                  lowercase						,     lowercase	:   str											= first

                  lookup[hd].append(node.val					)

                  if node.left:
                        queue.append((node.left, hd - 1)					)
                  if node.right:
                        queue.append((node.right, hd + 1)					)

            for pair in sorted(lookup.items()						,   key=lambda _UpperCAmelCase					: each[0]					):
                  top_view.append(pair[1][0]					)

      lowercase	:   list											= []
      if not root:
            return top_view

      breadth_first_search(_UpperCAmelCase						,   _UpperCAmelCase					)
      return top_view


def 	lowercase__  (      _UpperCAmelCase					)  ->      list[int]:






      '''simple docstring'''


      from collections import defaultdict

      def breadth_first_search(_UpperCAmelCase						,   _UpperCAmelCase					) -> None:
            lowercase	:   Any											= [(root, 0)]
            lowercase	:   Dict											= defaultdict(_UpperCAmelCase					)

            while queue:
                  lowercase	:   str											= queue.pop(0					)
                  lowercase						,     lowercase	:   List[Any]											= first
                  lookup[hd].append(node.val					)

                  if node.left:
                        queue.append((node.left, hd - 1)					)
                  if node.right:
                        queue.append((node.right, hd + 1)					)

            for pair in sorted(lookup.items()						,   key=lambda _UpperCAmelCase					: each[0]					):
                  bottom_view.append(pair[1][-1]					)

      lowercase	:   list											= []
      if not root:
            return bottom_view

      breadth_first_search(_UpperCAmelCase						,   _UpperCAmelCase					)
      return bottom_view


if __name__ == "__main__":
     import doctest

     doctest.testmod()
