'''simple docstring'''





import copy
import random

from transformers import CLIPTokenizer




class 	__A				(			UpperCamelCase__     ):



    def __init__(self   :   Optional[Any]       ,      *__a   :   Optional[int]       ,      **__a   :   Any			):
         super().__init__(*__lowerCamelCase       ,      **__lowerCamelCase			)
         UpperCAmelCase_	   =       {}



    def  _lowercase						(self   :   Dict       ,      __a   :   str       ,      *__a   :   Any       ,      **__a   :   Dict			):
         UpperCAmelCase_	   =       super().add_tokens(__lowerCamelCase       ,      *__lowerCamelCase       ,      **__lowerCamelCase			)
         if num_added_tokens == 0:
              raise ValueError(
                  f"""The tokenizer already contains the token {placeholder_token}. Please pass a different"""
                  " `placeholder_token` that is not already in the tokenizer."			)



    def  _lowercase						(self   :   List[str]       ,      __a   :   List[str]       ,      *__a   :   List[str]       ,      __a   :   List[str]=1       ,      **__a   :   Tuple			):
         UpperCAmelCase_	   =       []
         if num_vec_per_token == 1:
              self.try_adding_tokens(__lowerCamelCase       ,      *__lowerCamelCase       ,      **__lowerCamelCase			)
              output.append(__lowerCamelCase			)
         else:
              UpperCAmelCase_	   =       []
              for i in range(__lowerCamelCase			):
                   UpperCAmelCase_	   =       placeholder_token + f"""_{i}"""
                   self.try_adding_tokens(__lowerCamelCase       ,      *__lowerCamelCase       ,      **__lowerCamelCase			)
                   output.append(__lowerCamelCase			)
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
         for token in self.token_map:
              if token in placeholder_token:
                   raise ValueError(
                       f"""The tokenizer already has placeholder token {token} that can get confused with"""
                       f""" {placeholder_token}keep placeholder tokens independent"""			)
         UpperCAmelCase_	   =       output



    def  _lowercase						(self   :   Union[str, Any]       ,      __a   :   Optional[Any]       ,      __a   :   Tuple=False       ,      __a   :   Any=1.0			):
         if isinstance(__lowerCamelCase       ,      __lowerCamelCase			):
              UpperCAmelCase_	   =       []
              for i in range(len(__lowerCamelCase			)			):
                   output.append(self.replace_placeholder_tokens_in_text(text[i]       ,      vector_shuffle=__lowerCamelCase			)			)
              return output
         for placeholder_token in self.token_map:
              if placeholder_token in text:
                   UpperCAmelCase_	   =       self.token_map[placeholder_token]
                   UpperCAmelCase_	   =       tokens[: 1 + int(len(__lowerCamelCase			) * prop_tokens_to_load			)]
                   if vector_shuffle:
                        UpperCAmelCase_	   =       copy.copy(__lowerCamelCase			)
                        random.shuffle(__lowerCamelCase			)
                   UpperCAmelCase_	   =       text.replace(__lowerCamelCase       ,      " ".join(__lowerCamelCase			)			)
         return text



    def __call__(self   :   List[Any]       ,      __a   :   Union[str, Any]       ,      *__a   :   int       ,      __a   :   Optional[Any]=False       ,      __a   :   str=1.0       ,      **__a   :   Dict			):
         return super().__call__(
             self.replace_placeholder_tokens_in_text(
                 __lowerCamelCase       ,      vector_shuffle=__lowerCamelCase       ,      prop_tokens_to_load=__lowerCamelCase			)       ,      *__lowerCamelCase       ,      **__lowerCamelCase       ,      )






    def  _lowercase						(self   :   Any       ,      __a   :   List[Any]       ,      *__a   :   List[Any]       ,      __a   :   str=False       ,      __a   :   Dict=1.0       ,      **__a   :   List[str]			):
         return super().encode(
             self.replace_placeholder_tokens_in_text(
                 __lowerCamelCase       ,      vector_shuffle=__lowerCamelCase       ,      prop_tokens_to_load=__lowerCamelCase			)       ,      *__lowerCamelCase       ,      **__lowerCamelCase       ,      )





'''simple docstring'''





import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout





def      lowerCAmelCase_    ( snake_case_	:			Union[str, Any]      )   ->				Optional[int]:


     '''simple docstring'''




     UpperCAmelCase_	   =       FileLock(str(tmpdir / "foo.lock"      )      )
     UpperCAmelCase_	   =       FileLock(str(tmpdir / "foo.lock"      )      )
     UpperCAmelCase_	   =       0.01
     with locka.acquire():
          with pytest.raises(snake_case_      ):
               UpperCAmelCase_	   =       time.time()
               locka.acquire(snake_case_      )
               assert time.time() - _start > timeout






def      lowerCAmelCase_    ( snake_case_	:			int      )   ->				Optional[int]:


     '''simple docstring'''




     UpperCAmelCase_	   =       "a" * 10_00 + ".lock"
     UpperCAmelCase_	   =       FileLock(str(tmpdir / filename      )      )
     assert locka._lock_file.endswith(".lock"      )
     assert not locka._lock_file.endswith(snake_case_      )
     assert len(os.path.basename(locka._lock_file      )      ) <= 2_55
     UpperCAmelCase_	   =       FileLock(tmpdir / filename      )
     with locka.acquire():
          with pytest.raises(snake_case_      ):
               locka.acquire(0      )




