

import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
a_    :						List[Any]    		=      "src/diffusers"
a_    :						Any    		=      "."


# This is to make sure the diffusers module imported is the one in the repo.
a_    :						Union[str, Any]    		=      importlib.util.spec_from_file_location(
    "diffusers",
    os.path.join(DIFFUSERS_PATH, "__init__.py"),
    submodule_search_locations=[DIFFUSERS_PATH],
)
a_    :						Union[str, Any]    		=      spec.loader.load_module()



def        __lowerCAmelCase    (       _UpperCamelCase		:  Optional[int]		,							_UpperCamelCase		:  Dict	)		->							Optional[Any]:
 '''simple docstring'''


 return line.startswith(_UpperCamelCase	) or len(_UpperCamelCase	) <= 1 or re.search(R'^\s*\)(\s*->.*:|:)\s*$'		,							_UpperCamelCase	) is not None



def        __lowerCAmelCase    (       _UpperCamelCase		:  Tuple	)		->							int:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			object_name.split('.'	)
 SCREAMING_SNAKE_CASE								=			0

 # First let's find the module where our object lives.
 SCREAMING_SNAKE_CASE								=			parts[i]
 while i < len(_UpperCamelCase	) and not os.path.isfile(os.path.join(_UpperCamelCase		,							f"""{module}.py"""	)	):
  i += 1
  if i < len(_UpperCamelCase	):
   SCREAMING_SNAKE_CASE								=			os.path.join(_UpperCamelCase		,							parts[i]	)
 if i >= len(_UpperCamelCase	):
  raise ValueError(f"""`object_name` should begin with the name of a module of diffusers but got {object_name}."""	)

 with open(os.path.join(_UpperCamelCase		,							f"""{module}.py"""	)		,							'r'		,							encoding='utf-8'		,							newline='\n'	) as f:
  SCREAMING_SNAKE_CASE								=			f.readlines()

 # Now let's find the class / func in the code!
 SCREAMING_SNAKE_CASE								=			''
 SCREAMING_SNAKE_CASE								=			0
 for name in parts[i + 1 :]:
  while (
      line_index < len(_UpperCamelCase	) and re.search(Rf"""^{indent}(class|def)\s+{name}(\(|\:)"""		,							lines[line_index]	) is None
  ):
   line_index += 1
  indent += "    "
  line_index += 1

 if line_index >= len(_UpperCamelCase	):
  raise ValueError(f""" {object_name} does not match any function or class in {module}."""	)

 # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
 SCREAMING_SNAKE_CASE								=			line_index
 while line_index < len(_UpperCamelCase	) and _should_continue(lines[line_index]		,							_UpperCamelCase	):
  line_index += 1
 # Clean up empty lines at the end (if any).
 while len(lines[line_index - 1]	) <= 1:
  line_index -= 1

 SCREAMING_SNAKE_CASE								=			lines[start_index:line_index]
 return "".join(_UpperCamelCase	)


a_    :						Optional[int]    		=      re.compile(R"^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)")
a_    :						Union[str, Any]    		=      re.compile(R"^\s*(\S+)->(\S+)(\s+.*|$)")
a_    :						Optional[Any]    		=      re.compile(R"<FILL\s+[^>]*>")



def        __lowerCAmelCase    (       _UpperCamelCase		:  Union[str, Any]	)		->							Any:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			code.split('\n'	)
 SCREAMING_SNAKE_CASE								=			0
 while idx < len(_UpperCamelCase	) and len(lines[idx]	) == 0:
  idx += 1
 if idx < len(_UpperCamelCase	):
  return re.search(R'^(\s*)\S'		,							lines[idx]	).groups()[0]
 return ""



def        __lowerCAmelCase    (       _UpperCamelCase		:  str	)		->							Dict:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			len(get_indent(_UpperCamelCase	)	) > 0
 if has_indent:
  SCREAMING_SNAKE_CASE								=			f"""class Bla:\n{code}"""
 SCREAMING_SNAKE_CASE								=			black.Mode(target_versions={black.TargetVersion.PYaa}		,							line_length=1_19		,							preview=_UpperCamelCase	)
 SCREAMING_SNAKE_CASE								=			black.format_str(_UpperCamelCase		,							mode=_UpperCamelCase	)
 SCREAMING_SNAKE_CASE						,	SCREAMING_SNAKE_CASE								=			style_docstrings_in_code(_UpperCamelCase	)
 return result[len('class Bla:\n'	) :] if has_indent else result



def        __lowerCAmelCase    (       _UpperCamelCase		:  Dict		,							_UpperCamelCase		:  Optional[Any]=False	)		->							Optional[Any]:
 '''simple docstring'''


 with open(_UpperCamelCase		,							'r'		,							encoding='utf-8'		,							newline='\n'	) as f:
  SCREAMING_SNAKE_CASE								=			f.readlines()
 SCREAMING_SNAKE_CASE								=			[]
 SCREAMING_SNAKE_CASE								=			0
 # Not a for loop cause `lines` is going to change (if `overwrite=True`).
 while line_index < len(_UpperCamelCase	):
  SCREAMING_SNAKE_CASE								=			_re_copy_warning.search(lines[line_index]	)
  if search is None:
   line_index += 1
   continue

  # There is some copied code here, let's retrieve the original.
  SCREAMING_SNAKE_CASE						,	SCREAMING_SNAKE_CASE						,	SCREAMING_SNAKE_CASE								=			search.groups()
  SCREAMING_SNAKE_CASE								=			find_code_in_diffusers(_UpperCamelCase	)
  SCREAMING_SNAKE_CASE								=			get_indent(_UpperCamelCase	)

  SCREAMING_SNAKE_CASE								=			line_index + 1 if indent == theoretical_indent else line_index + 2
  SCREAMING_SNAKE_CASE								=			theoretical_indent
  SCREAMING_SNAKE_CASE								=			start_index

  # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
  SCREAMING_SNAKE_CASE								=			True
  while line_index < len(_UpperCamelCase	) and should_continue:
   line_index += 1
   if line_index >= len(_UpperCamelCase	):
    break
   SCREAMING_SNAKE_CASE								=			lines[line_index]
   SCREAMING_SNAKE_CASE								=			_should_continue(_UpperCamelCase		,							_UpperCamelCase	) and re.search(f"""^{indent}# End copy"""		,							_UpperCamelCase	) is None
  # Clean up empty lines at the end (if any).
  while len(lines[line_index - 1]	) <= 1:
   line_index -= 1

  SCREAMING_SNAKE_CASE								=			lines[start_index:line_index]
  SCREAMING_SNAKE_CASE								=			''.join(_UpperCamelCase	)

  # Remove any nested `Copied from` comments to avoid circular copies
  SCREAMING_SNAKE_CASE								=			[line for line in theoretical_code.split('\n'	) if _re_copy_warning.search(_UpperCamelCase	) is None]
  SCREAMING_SNAKE_CASE								=			'\n'.join(_UpperCamelCase	)

  # Before comparing, use the `replace_pattern` on the original code.
  if len(_UpperCamelCase	) > 0:
   SCREAMING_SNAKE_CASE								=			replace_pattern.replace('with'		,							''	).split(','	)
   SCREAMING_SNAKE_CASE								=			[_re_replace_pattern.search(_UpperCamelCase	) for p in patterns]
   for pattern in patterns:
    if pattern is None:
     continue
    SCREAMING_SNAKE_CASE						,	SCREAMING_SNAKE_CASE						,	SCREAMING_SNAKE_CASE								=			pattern.groups()
    SCREAMING_SNAKE_CASE								=			re.sub(_UpperCamelCase		,							_UpperCamelCase		,							_UpperCamelCase	)
    if option.strip() == "all-casing":
     SCREAMING_SNAKE_CASE								=			re.sub(obja.lower()		,							obja.lower()		,							_UpperCamelCase	)
     SCREAMING_SNAKE_CASE								=			re.sub(obja.upper()		,							obja.upper()		,							_UpperCamelCase	)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
   SCREAMING_SNAKE_CASE								=			blackify(lines[start_index - 1] + theoretical_code	)
   SCREAMING_SNAKE_CASE								=			theoretical_code[len(lines[start_index - 1]	) :]

  # Test for a diff and act accordingly.
  if observed_code != theoretical_code:
   diffs.append([object_name, start_index]	)
   if overwrite:
    SCREAMING_SNAKE_CASE								=			lines[:start_index] + [theoretical_code] + lines[line_index:]
    SCREAMING_SNAKE_CASE								=			start_index + 1

 if overwrite and len(_UpperCamelCase	) > 0:
  # Warn the user a file has been modified.
  print(f"""Detected changes, rewriting {filename}."""	)
  with open(_UpperCamelCase		,							'w'		,							encoding='utf-8'		,							newline='\n'	) as f:
   f.writelines(_UpperCamelCase	)
 return diffs



def        __lowerCAmelCase    (       _UpperCamelCase		:  bool = False	)		->							Dict:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			glob.glob(os.path.join(_UpperCamelCase		,							'**/*.py'	)		,							recursive=_UpperCamelCase	)
 SCREAMING_SNAKE_CASE								=			[]
 for filename in all_files:
  SCREAMING_SNAKE_CASE								=			is_copy_consistent(_UpperCamelCase		,							_UpperCamelCase	)
  diffs += [f"""- {filename}: copy does not match {d[0]} at line {d[1]}""" for d in new_diffs]
 if not overwrite and len(_UpperCamelCase	) > 0:
  SCREAMING_SNAKE_CASE								=			'\n'.join(_UpperCamelCase	)
  raise Exception(
      'Found the following copy inconsistencies:\n'
      + diff
      + '\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them.'	)


if __name__ == "__main__":
      a_    :						Optional[int]    		=      argparse.ArgumentParser()
      parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
      a_    :						Optional[Any]    		=      parser.parse_args()

      check_copies(args.fix_and_overwrite)




import json
from typing import Dict, List, Optional, Tuple, Union

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .tokenization_led import LEDTokenizer


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


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

a_    :						Any    		=      {
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

a_    :						List[Any]    		=      {
    "allenai/led-base-16384": 1_6384,
}




class      UpperCamelCase (     SCREAMING_SNAKE_CASE   ):
    __UpperCamelCase         =VOCAB_FILES_NAMES
    __UpperCamelCase         =PRETRAINED_VOCAB_FILES_MAP
    __UpperCamelCase         =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __UpperCamelCase         =LEDTokenizer
    __UpperCamelCase         =["input_ids", "attention_mask"]

    def __init__(			self :      Tuple							,    snake_case__ :      List[Any]=None							,    snake_case__ :      List[str]=None							,    snake_case__ :      List[str]=None							,    snake_case__ :      Dict="replace"							,    snake_case__ :      Tuple="<s>"							,    snake_case__ :      Optional[Any]="</s>"							,    snake_case__ :      int="</s>"							,    snake_case__ :      Dict="<s>"							,    snake_case__ :      Union[str, Any]="<unk>"							,    snake_case__ :      Optional[int]="<pad>"							,    snake_case__ :      List[str]="<mask>"							,    snake_case__ :      List[Any]=False							,    snake_case__ :      int=True							,    **snake_case__ :      Dict							,    ):

     """simple docstring"""






     super().__init__(
         snake_case__							,    snake_case__							,    tokenizer_file=snake_case__							,    errors=snake_case__							,    bos_token=snake_case__							,    eos_token=snake_case__							,    sep_token=snake_case__							,    cls_token=snake_case__							,    unk_token=snake_case__							,    pad_token=snake_case__							,    mask_token=snake_case__							,    add_prefix_space=snake_case__							,    trim_offsets=snake_case__							,    **snake_case__							,    )

     SCREAMING_SNAKE_CASE								=			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
     if pre_tok_state.get('add_prefix_space'							,    snake_case__    ) != add_prefix_space:
      SCREAMING_SNAKE_CASE								=			getattr(snake_case__							,    pre_tok_state.pop('type'    )    )
      SCREAMING_SNAKE_CASE								=			add_prefix_space
      SCREAMING_SNAKE_CASE								=			pre_tok_class(**snake_case__    )

     SCREAMING_SNAKE_CASE								=			add_prefix_space

     # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
     SCREAMING_SNAKE_CASE								=			'post_processor'
     SCREAMING_SNAKE_CASE								=			getattr(self.backend_tokenizer							,    snake_case__							,    snake_case__    )
     if tokenizer_component_instance:
      SCREAMING_SNAKE_CASE								=			json.loads(tokenizer_component_instance.__getstate__()    )

      # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
      if "sep" in state:
       SCREAMING_SNAKE_CASE								=			tuple(state['sep']    )
      if "cls" in state:
       SCREAMING_SNAKE_CASE								=			tuple(state['cls']    )

      SCREAMING_SNAKE_CASE								=			False

      if state.get('add_prefix_space'							,    snake_case__    ) != add_prefix_space:
       SCREAMING_SNAKE_CASE								=			add_prefix_space
       SCREAMING_SNAKE_CASE								=			True

      if state.get('trim_offsets'							,    snake_case__    ) != trim_offsets:
       SCREAMING_SNAKE_CASE								=			trim_offsets
       SCREAMING_SNAKE_CASE								=			True

      if changes_to_apply:
       SCREAMING_SNAKE_CASE								=			getattr(snake_case__							,    state.pop('type'    )    )
       SCREAMING_SNAKE_CASE								=			component_class(**snake_case__    )
       setattr(self.backend_tokenizer							,    snake_case__							,    snake_case__    )

    @property
    # Copied from transformers.models.bart.tokenization_bart_fast.BartTokenizerFast.mask_token with BART->LED
    def UpperCamelCase			(			self :      Optional[Any]    ):

     """simple docstring"""






     if self._mask_token is None:
      if self.verbose:
       logger.error('Using mask_token, but it is not set yet.'    )
      return None
     return str(self._mask_token    )

    @mask_token.setter
    def UpperCamelCase			(			self :      List[Any]							,    snake_case__ :      Any    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			AddedToken(snake_case__							,    lstrip=snake_case__							,    rstrip=snake_case__    ) if isinstance(snake_case__							,    snake_case__    ) else value
     SCREAMING_SNAKE_CASE								=			value

    def UpperCamelCase			(			self :      Dict							,    *snake_case__ :      Optional[Any]							,    **snake_case__ :      Tuple    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			kwargs.get('is_split_into_words'							,    snake_case__    )

     if is_split_into_words and not self.add_prefix_space:
      raise ValueError(
          F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
          'to use it with pretokenized inputs.'    )

     return super()._batch_encode_plus(*snake_case__							,    **snake_case__    )

    def UpperCamelCase			(			self :      List[str]							,    *snake_case__ :      List[Any]							,    **snake_case__ :      Optional[Any]    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			kwargs.get('is_split_into_words'							,    snake_case__    )

     if is_split_into_words and not self.add_prefix_space:
      raise ValueError(
          F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
          'to use it with pretokenized inputs.'    )

     return super()._encode_plus(*snake_case__							,    **snake_case__    )

    def UpperCamelCase			(			self :      Union[str, Any]							,    snake_case__ :      str							,    snake_case__ :      Optional[str] = None    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			self._tokenizer.model.save(snake_case__							,    name=snake_case__    )
     return tuple(snake_case__    )

    def UpperCamelCase			(			self :      List[str]							,    snake_case__ :      int							,    snake_case__ :      Tuple=None    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			[self.bos_token_id] + token_ids_a + [self.eos_token_id]
     if token_ids_a is None:
      return output

     return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]

    def UpperCamelCase			(			self :      Optional[int]							,    snake_case__ :      List[int]							,    snake_case__ :      Optional[List[int]] = None    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			[self.sep_token_id]
     SCREAMING_SNAKE_CASE								=			[self.cls_token_id]

     if token_ids_a is None:
      return len(cls + token_ids_a + sep    ) * [0]
     return len(cls + token_ids_a + sep + sep + token_ids_a + sep    ) * [0]




    def UpperCamelCase			(			self :      Optional[Any]							,    snake_case__ :      Union[Dict[str, EncodedInput], BatchEncoding]							,    snake_case__ :      Optional[int] = None							,    snake_case__ :      PaddingStrategy = PaddingStrategy.DO_NOT_PAD							,    snake_case__ :      Optional[int] = None							,    snake_case__ :      Optional[bool] = None							,    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			super()._pad(
         encoded_inputs=snake_case__							,    max_length=snake_case__							,    padding_strategy=snake_case__							,    pad_to_multiple_of=snake_case__							,    return_attention_mask=snake_case__							,    )

     # Load from model defaults
     if return_attention_mask is None:
      SCREAMING_SNAKE_CASE								=			'attention_mask' in self.model_input_names

     if return_attention_mask and "global_attention_mask" in encoded_inputs:
      SCREAMING_SNAKE_CASE								=			encoded_inputs[self.model_input_names[0]]
      # `global_attention_mask` need to have the same length as other (sequential) inputs.
      SCREAMING_SNAKE_CASE								=			len(encoded_inputs['global_attention_mask']    ) != len(snake_case__    )

      if needs_to_be_padded:
       SCREAMING_SNAKE_CASE								=			len(snake_case__    ) - len(encoded_inputs['global_attention_mask']    )

       if self.padding_side == "right":
        # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
        SCREAMING_SNAKE_CASE								=			(
            encoded_inputs['global_attention_mask'] + [-1] * difference
        )
       elif self.padding_side == "left":
        SCREAMING_SNAKE_CASE								=			[-1] * difference + encoded_inputs[
            'global_attention_mask'
        ]
       else:
        raise ValueError('Invalid padding strategy:' + str(self.padding_side    )    )

     return encoded_inputs

