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
SCREAMING_SNAKE_CASE :	Optional[Any]							     =		"""src/diffusers"""
SCREAMING_SNAKE_CASE :	List[Any]							     =		"""."""


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



def   __A		(			_A							,				_A					):



 """simple docstring"""


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



def   __A		(			_A					):



 """simple docstring"""


 __a       =  object_name.split("."					)
 __a       =  0

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

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

 # Now let's find the class / func in the code!
 __a       =  ""
 __a       =  0
 for name in parts[i + 1 :]:
  while (
      line_index < len(_A					) 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(_A					):
  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).
 __a       =  line_index
 while line_index < len(_A					) and _should_continue(lines[line_index]							,				_A					):
  line_index += 1
 # Clean up empty lines at the end (if any).
 while len(lines[line_index - 1]					) <= 1:
  line_index -= 1

 __a       =  lines[start_index:line_index]
 return "".join(_A					)


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



def   __A		(			_A					):



 """simple docstring"""


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



def   __A		(			_A					):



 """simple docstring"""


 __a       =  len(get_indent(_A					)					) > 0
 if has_indent:
  __a       =  f"""class Bla:\n{code}"""
 __a       =  black.Mode(target_versions={black.TargetVersion.PYaa}							,				line_length=119							,				preview=_A					)
 __a       =  black.format_str(_A							,				mode=_A					)
 __a       ,     __a       =  style_docstrings_in_code(_A					)
 return result[len("class Bla:\n"					) :] if has_indent else result



def   __A		(			_A							,				_A=False					):



 """simple docstring"""


 with open(_A							,				"r"							,				encoding="utf-8"							,				newline="\n"					) as f:
  __a       =  f.readlines()
 __a       =  []
 __a       =  0
 # Not a for loop cause `lines` is going to change (if `overwrite=True`).
 while line_index < len(_A					):
  __a       =  _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.
  __a       ,     __a       ,     __a       =  search.groups()
  __a       =  find_code_in_diffusers(_A					)
  __a       =  get_indent(_A					)

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

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

  __a       =  lines[start_index:line_index]
  __a       =  "".join(_A					)

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

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

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

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



def   __A		(			_A = False					):



 """simple docstring"""


 __a       =  glob.glob(os.path.join(_A							,				"**/*.py"					)							,				recursive=_A					)
 __a       =  []
 for filename in all_files:
  __a       =  is_copy_consistent(_A							,				_A					)
  diffs += [f"""- {filename}: copy does not match {d[0]} at line {d[1]}""" for d in new_diffs]
 if not overwrite and len(_A					) > 0:
  __a       =  "\n".join(_A					)
  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__":
  SCREAMING_SNAKE_CASE :	Tuple							     =		argparse.ArgumentParser()
  parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
  SCREAMING_SNAKE_CASE :	int							     =		parser.parse_args()

  check_copies(args.fix_and_overwrite)



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE :	Dict							     =		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE :	List[str]							     =		{
    """facebook/xlm-roberta-xl""": """https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json""",
    """facebook/xlm-roberta-xxl""": """https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json""",
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}
class    A_ (       a_ ):
  _SCREAMING_SNAKE_CASE    				=			"""xlm-roberta-xl"""

  def __init__(		self :      str     ,							__SCREAMING_SNAKE_CASE :      int=25_08_80     ,							__SCREAMING_SNAKE_CASE :      Dict=25_60     ,							__SCREAMING_SNAKE_CASE :      List[str]=36     ,							__SCREAMING_SNAKE_CASE :      int=32     ,							__SCREAMING_SNAKE_CASE :      int=1_02_40     ,							__SCREAMING_SNAKE_CASE :      Optional[int]="gelu"     ,							__SCREAMING_SNAKE_CASE :      int=0.1     ,							__SCREAMING_SNAKE_CASE :      Union[str, Any]=0.1     ,							__SCREAMING_SNAKE_CASE :      int=5_14     ,							__SCREAMING_SNAKE_CASE :      List[Any]=1     ,							__SCREAMING_SNAKE_CASE :      Any=0.02     ,							__SCREAMING_SNAKE_CASE :      Optional[int]=1E-05     ,							__SCREAMING_SNAKE_CASE :      str=1     ,							__SCREAMING_SNAKE_CASE :      Optional[Any]=0     ,							__SCREAMING_SNAKE_CASE :      Optional[Any]=2     ,							__SCREAMING_SNAKE_CASE :      Optional[int]="absolute"     ,							__SCREAMING_SNAKE_CASE :      str=True     ,							__SCREAMING_SNAKE_CASE :      str=None     ,							**__SCREAMING_SNAKE_CASE :      str     ,							):
   super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE     ,							bos_token_id=__SCREAMING_SNAKE_CASE     ,							eos_token_id=__SCREAMING_SNAKE_CASE     ,							**__SCREAMING_SNAKE_CASE       )
   __a       =  vocab_size
   __a       =  hidden_size
   __a       =  num_hidden_layers
   __a       =  num_attention_heads
   __a       =  hidden_act
   __a       =  intermediate_size
   __a       =  hidden_dropout_prob
   __a       =  attention_probs_dropout_prob
   __a       =  max_position_embeddings
   __a       =  type_vocab_size
   __a       =  initializer_range
   __a       =  layer_norm_eps
   __a       =  position_embedding_type
   __a       =  use_cache
   __a       =  classifier_dropout
class    A_ (       a_ ):

  @property
  def 		_UpperCAmelCase   (		self :      List[str]       ):
   if self.task == "multiple-choice":
    __a       =  {0: "batch", 1: "choice", 2: "sequence"}
   else:
    __a       =  {0: "batch", 1: "sequence"}
   return OrderedDict(
       [
           ("input_ids", dynamic_axis),
           ("attention_mask", dynamic_axis),
       ]       )


