


'''simple docstring'''


import copy
import random

from transformers import CLIPTokenizer






class 	lowerCAmelCase__			(			UpperCAmelCase__	):




			def __init__(		self  :     Union[str, Any]	,  *lowerCamelCase__  :     List[str]	,  **lowerCamelCase__  :     str )   ->int:



					'''simple docstring'''







					super().__init__(*lowerCamelCase__	,  **lowerCamelCase__ )
					_UpperCAmelCase		:       Optional[int]								=      {}




			def 							lowerCAmelCase__    (		self  :     Tuple	,  lowerCamelCase__  :     str	,  *lowerCamelCase__  :     List[Any]	,  **lowerCamelCase__  :     Any )   ->List[str]:



					'''simple docstring'''







					_UpperCAmelCase		:       Any								=      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 							lowerCAmelCase__    (		self  :     int	,  lowerCamelCase__  :     Dict	,  *lowerCamelCase__  :     Optional[int]	,  lowerCamelCase__  :     str=1	,  **lowerCamelCase__  :     List[Any] )   ->Tuple:



					'''simple docstring'''







					_UpperCAmelCase		:       Tuple								=      []
					if num_vec_per_token == 1:
							self.try_adding_tokens(lowerCamelCase__	,  *lowerCamelCase__	,  **lowerCamelCase__ )
							output.append(lowerCamelCase__ )
					else:
							_UpperCAmelCase		:       Optional[int]								=      []
							for i in range(lowerCamelCase__ ):
									_UpperCAmelCase		:       List[Any]								=      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		:       Union[str, Any]								=      output




			def 							lowerCAmelCase__    (		self  :     int	,  lowerCamelCase__  :     List[str]	,  lowerCamelCase__  :     Optional[Any]=False	,  lowerCamelCase__  :     Any=1.0 )   ->Dict:



					'''simple docstring'''







					if isinstance(lowerCamelCase__	,  lowerCamelCase__ ):
							_UpperCAmelCase		:       Tuple								=      []
							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		:       int								=      self.token_map[placeholder_token]
									_UpperCAmelCase		:       List[str]								=      tokens[: 1 + int(len(lowerCamelCase__ ) * prop_tokens_to_load )]
									if vector_shuffle:
											_UpperCAmelCase		:       str								=      copy.copy(lowerCamelCase__ )
											random.shuffle(lowerCamelCase__ )
									_UpperCAmelCase		:       Optional[int]								=      text.replace(lowerCamelCase__	,  " ".join(lowerCamelCase__ ) )
					return text




			def __call__(		self  :     int	,  lowerCamelCase__  :     Tuple	,  *lowerCamelCase__  :     Optional[int]	,  lowerCamelCase__  :     Tuple=False	,  lowerCamelCase__  :     str=1.0	,  **lowerCamelCase__  :     List[str] )   ->Any:



					'''simple docstring'''







					return super().__call__(
					    self.replace_placeholder_tokens_in_text(
					        lowerCamelCase__	,  vector_shuffle=lowerCamelCase__	,  prop_tokens_to_load=lowerCamelCase__ )	,  *lowerCamelCase__	,  **lowerCamelCase__	,  )






			def 							lowerCAmelCase__    (		self  :     int	,  lowerCamelCase__  :     Dict	,  *lowerCamelCase__  :     List[str]	,  lowerCamelCase__  :     Dict=False	,  lowerCamelCase__  :     Any=1.0	,  **lowerCamelCase__  :     str )   ->str:



					'''simple docstring'''







					return super().encode(
					    self.replace_placeholder_tokens_in_text(
					        lowerCamelCase__	,  vector_shuffle=lowerCamelCase__	,  prop_tokens_to_load=lowerCamelCase__ )	,  *lowerCamelCase__	,  **lowerCamelCase__	,  )







'''simple docstring'''


# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCamelCase__    	=     abspath(join(dirname(dirname(dirname(__file__))), 'src'))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)






def  __lowerCAmelCase (__lowerCAmelCase   ):
		from transformers.testing_utils import pytest_addoption_shared

		pytest_addoption_shared(__lowerCAmelCase   )






def  __lowerCAmelCase (__lowerCAmelCase   ):
		from transformers.testing_utils import pytest_terminal_summary_main

		_UpperCAmelCase		:       Optional[int]								=      terminalreporter.config.getoption("--make-reports"   )
		if make_reports:
				pytest_terminal_summary_main(__lowerCAmelCase      , id=__lowerCAmelCase   )



