




'''simple docstring'''




def   a_							(   __snake_case							:    str     , __snake_case							:    str     , __snake_case							:    int     , __snake_case							:    int     , __snake_case							:    int     , __snake_case							:    int     , )							->		tuple[list[list[int]], list[list[str]]]:



       """simple docstring"""
       lowerCamelCase_							=list(__snake_case     )
       lowerCamelCase_							=list(__snake_case     )
       lowerCamelCase_							=len(__snake_case     )
       lowerCamelCase_							=len(__snake_case     )

       lowerCamelCase_							=[
           [0 for _ in range(len_destination_seq + 1     )] for _ in range(len_source_seq + 1     )
       ]
       lowerCamelCase_							=[
           ['''0''' for _ in range(len_destination_seq + 1     )] for _ in range(len_source_seq + 1     )
       ]

       for i in range(1     , len_source_seq + 1     ):
              lowerCamelCase_							=i * delete_cost
              lowerCamelCase_							=F'''D{source_seq[i - 1]:c}'''

       for i in range(1     , len_destination_seq + 1     ):
              lowerCamelCase_							=i * insert_cost
              lowerCamelCase_							=F'''I{destination_seq[i - 1]:c}'''

       for i in range(1     , len_source_seq + 1     ):
              for j in range(1     , len_destination_seq + 1     ):
                     if source_seq[i - 1] == destination_seq[j - 1]:
                            lowerCamelCase_							=costs[i - 1][j - 1] + copy_cost
                            lowerCamelCase_							=F'''C{source_seq[i - 1]:c}'''
                     else:
                            lowerCamelCase_							=costs[i - 1][j - 1] + replace_cost
                            lowerCamelCase_							=F'''R{source_seq[i - 1]:c}''' + str(destination_seq[j - 1]     )

                     if costs[i - 1][j] + delete_cost < costs[i][j]:
                            lowerCamelCase_							=costs[i - 1][j] + delete_cost
                            lowerCamelCase_							=F'''D{source_seq[i - 1]:c}'''

                     if costs[i][j - 1] + insert_cost < costs[i][j]:
                            lowerCamelCase_							=costs[i][j - 1] + insert_cost
                            lowerCamelCase_							=F'''I{destination_seq[j - 1]:c}'''

       return costs, ops





def   a_							(   __snake_case							:    list[list[str]]     , __snake_case							:    int     , __snake_case							:    int     )							->		list[str]:



       """simple docstring"""
       if i == 0 and j == 0:
              return []
       else:
              if ops[i][j][0] == "C" or ops[i][j][0] == "R":
                     lowerCamelCase_							=assemble_transformation(__snake_case     , i - 1     , j - 1     )
                     seq.append(ops[i][j]     )
                     return seq
              elif ops[i][j][0] == "D":
                     lowerCamelCase_							=assemble_transformation(__snake_case     , i - 1     , __snake_case     )
                     seq.append(ops[i][j]     )
                     return seq
              else:
                     lowerCamelCase_							=assemble_transformation(__snake_case     , __snake_case     , j - 1     )
                     seq.append(ops[i][j]     )
                     return seq


if __name__ == "__main__":
     a_   , a_   :	Any							   = compute_transform_tables("""Python""", """Algorithms""", -1, 1, 2, 2)

     a_   :	Optional[int]							   = len(operations)
     a_   :	Any							   = len(operations[0])
     a_   :	Optional[int]							   = assemble_transformation(operations, m - 1, n - 1)

     a_   :	List[Any]							   = list("""Python""")
     a_   :	Any							   = 0
     a_   :	Union[str, Any]							   = 0

     with open("""min_cost.txt""", """w""") as file:
          for op in sequence:
               print("""""".join(string))

               if op[0] == "C":
                    file.write("""%-16s""" % """Copy %c""" % op[1])
                    file.write("""\t\t\t""" + """""".join(string))
                    file.write("""\r\n""")

                    cost -= 1
               elif op[0] == "R":
                    a_   :	str							   = op[2]

                    file.write("""%-16s""" % ("""Replace %c""" % op[1] + """ with """ + str(op[2])))
                    file.write("""\t\t""" + """""".join(string))
                    file.write("""\r\n""")

                    cost += 1
               elif op[0] == "D":
                    string.pop(i)

                    file.write("""%-16s""" % """Delete %c""" % op[1])
                    file.write("""\t\t\t""" + """""".join(string))
                    file.write("""\r\n""")

                    cost += 2
               else:
                    string.insert(i, op[1])

                    file.write("""%-16s""" % """Insert %c""" % op[1])
                    file.write("""\t\t\t""" + """""".join(string))
                    file.write("""\r\n""")

                    cost += 2

               i += 1

          print("""""".join(string))
          print("""Cost: """, cost)

          file.write("""\r\nMinimum cost: """ + str(cost))










'''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_   :	Tuple							   = logging.get_logger(__name__)

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

a_   :	Tuple							   = {
    """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_   :	str							   = {
    """openai/clip-vit-base-patch32""": 77,
}


class 						__UpperCamelCase (				lowerCamelCase__       ):
       lowercase			:					Union[str, Any]   		=VOCAB_FILES_NAMES
       lowercase			:					Optional[int]   		=PRETRAINED_VOCAB_FILES_MAP
       lowercase			:					Any   		=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowercase			:					str   		=['input_ids', 'attention_mask']
       lowercase			:					List[Any]   		=CLIPTokenizer






       def __init__(							self,	lowerCAmelCase=None,	lowerCAmelCase=None,	lowerCAmelCase=None,	lowerCAmelCase="<|endoftext|>",	lowerCAmelCase="<|startoftext|>",	lowerCAmelCase="<|endoftext|>",	lowerCAmelCase="<|endoftext|>",	**lowerCAmelCase,	):



              """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   lowercase__  (							self						):



              """simple docstring"""







              lowerCamelCase_							=self.backend_tokenizer.decode

              def new_decode_method(*lowerCAmelCase,	**lowerCAmelCase						):
                     lowerCamelCase_							=orig_decode_method(*lowerCAmelCase,	**lowerCAmelCase						)
                     lowerCamelCase_							=text.replace(self.backend_tokenizer.model.end_of_word_suffix,	''' '''						).strip()
                     return text

              lowerCamelCase_							=new_decode_method






       def   lowercase__  (							self,	lowerCAmelCase,	lowerCAmelCase = None						):



              """simple docstring"""







              lowerCamelCase_							=[self.bos_token_id]
              lowerCamelCase_							=[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,	lowerCAmelCase,	lowerCAmelCase = None						):



              """simple docstring"""







              lowerCamelCase_							=[self.bos_token_id]
              lowerCamelCase_							=[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,	lowerCAmelCase,	lowerCAmelCase = None						):



              """simple docstring"""







              lowerCamelCase_							=self._tokenizer.model.save(lowerCAmelCase,	name=lowerCAmelCase						)
              return tuple(lowerCAmelCase						)




