


'''simple docstring'''

import argparse
import os
import re


a_						:       Optional[int]      			=				"""src/transformers"""

# Pattern that looks at the indentation in a line.
a_						:       Dict      			=				re.compile(R"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
a_						:       str      			=				re.compile(R"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
a_						:       Any      			=				re.compile(R"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
a_						:       Optional[Any]      			=				re.compile(R"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
a_						:       Optional[Any]      			=				re.compile(R"""\[([^\]]+)\]""")





def __snake_case      (   UpperCAmelCase_		:		Union[str, Any]	):
 lowerCamelCase_  				=						_re_indent.search(UpperCAmelCase_	)
 return "" if search is None else search.groups()[0]





def __snake_case      (   UpperCAmelCase_		:		Any      ,       UpperCAmelCase_		:		Dict=""      ,       UpperCAmelCase_		:		Tuple=None      ,       UpperCAmelCase_		:		Dict=None	):
 lowerCamelCase_  				=						0
 lowerCamelCase_  				=						code.split("\n"	)
 if start_prompt is not None:
  while not lines[index].startswith(UpperCAmelCase_	):
   index += 1
  lowerCamelCase_  				=						["\n".join(lines[:index]	)]
 else:
  lowerCamelCase_  				=						[]

 # We split into blocks until we get to the `end_prompt` (or the end of the block).
 lowerCamelCase_  				=						[lines[index]]
 index += 1
 while index < len(UpperCAmelCase_	) and (end_prompt is None or not lines[index].startswith(UpperCAmelCase_	)):
  if len(lines[index]	) > 0 and get_indent(lines[index]	) == indent_level:
   if len(UpperCAmelCase_	) > 0 and get_indent(current_block[-1]	).startswith(indent_level + " "	):
    current_block.append(lines[index]	)
    blocks.append("\n".join(UpperCAmelCase_	)	)
    if index < len(UpperCAmelCase_	) - 1:
     lowerCamelCase_  				=						[lines[index + 1]]
     index += 1
    else:
     lowerCamelCase_  				=						[]
   else:
    blocks.append("\n".join(UpperCAmelCase_	)	)
    lowerCamelCase_  				=						[lines[index]]
  else:
   current_block.append(lines[index]	)
  index += 1

 # Adds current block if it's nonempty.
 if len(UpperCAmelCase_	) > 0:
  blocks.append("\n".join(UpperCAmelCase_	)	)

 # Add final block after end_prompt if provided.
 if end_prompt is not None and index < len(UpperCAmelCase_	):
  blocks.append("\n".join(lines[index:]	)	)

 return blocks





def __snake_case      (   UpperCAmelCase_		:		Dict	):

 def _inner(UpperCAmelCase_		:		List[Any]	):
  return key(UpperCAmelCase_	).lower().replace("_"      ,       ""	)

 return _inner





def __snake_case      (   UpperCAmelCase_		:		List[str]      ,       UpperCAmelCase_		:		List[Any]=None	):

 # If no key is provided, we use a noop.
 def noop(UpperCAmelCase_		:		str	):
  return x

 if key is None:
  lowerCamelCase_  				=						noop
 # Constants are all uppercase, they go first.
 lowerCamelCase_  				=						[obj for obj in objects if key(UpperCAmelCase_	).isupper()]
 # Classes are not all uppercase but start with a capital, they go second.
 lowerCamelCase_  				=						[obj for obj in objects if key(UpperCAmelCase_	)[0].isupper() and not key(UpperCAmelCase_	).isupper()]
 # Functions begin with a lowercase, they go last.
 lowerCamelCase_  				=						[obj for obj in objects if not key(UpperCAmelCase_	)[0].isupper()]

 lowerCamelCase_  				=						ignore_underscore(UpperCAmelCase_	)
 return sorted(UpperCAmelCase_      ,       key=UpperCAmelCase_	) + sorted(UpperCAmelCase_      ,       key=UpperCAmelCase_	) + sorted(UpperCAmelCase_      ,       key=UpperCAmelCase_	)





def __snake_case      (   UpperCAmelCase_		:		Optional[int]	):

 # This inner function sort imports between [ ].
 def _replace(UpperCAmelCase_		:		Tuple	):
  lowerCamelCase_  				=						match.groups()[0]
  if "," not in imports:
   return F'''[{imports}]'''
  lowerCamelCase_  				=						[part.strip().replace("\""      ,       ""	) for part in imports.split(","	)]
  # We will have a final empty element if the line finished with a comma.
  if len(keys[-1]	) == 0:
   lowerCamelCase_  				=						keys[:-1]
  return "[" + ", ".join([F'''"{k}"''' for k in sort_objects(UpperCAmelCase_	)]	) + "]"

 lowerCamelCase_  				=						import_statement.split("\n"	)
 if len(UpperCAmelCase_	) > 3:
  # Here we have to sort internal imports that are on several lines (one per name):
  # key: [
  #     "object1",
  #     "object2",
  #     ...
  # ]

  # We may have to ignore one or two lines on each side.
  lowerCamelCase_  				=						2 if lines[1].strip() == "[" else 1
  lowerCamelCase_  				=						[(i, _re_strip_line.search(UpperCAmelCase_	).groups()[0]) for i, line in enumerate(lines[idx:-idx]	)]
  lowerCamelCase_  				=						sort_objects(UpperCAmelCase_      ,       key=lambda UpperCAmelCase_	: x[1]	)
  lowerCamelCase_  				=						[lines[x[0] + idx] for x in sorted_indices]
  return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]	)
 elif len(UpperCAmelCase_	) == 3:
  # Here we have to sort internal imports that are on one separate line:
  # key: [
  #     "object1", "object2", ...
  # ]
  if _re_bracket_content.search(lines[1]	) is not None:
   lowerCamelCase_  				=						_re_bracket_content.sub(_replace      ,       lines[1]	)
  else:
   lowerCamelCase_  				=						[part.strip().replace("\""      ,       ""	) for part in lines[1].split(","	)]
   # We will have a final empty element if the line finished with a comma.
   if len(keys[-1]	) == 0:
    lowerCamelCase_  				=						keys[:-1]
   lowerCamelCase_  				=						get_indent(lines[1]	) + ", ".join([F'''"{k}"''' for k in sort_objects(UpperCAmelCase_	)]	)
  return "\n".join(UpperCAmelCase_	)
 else:
  # Finally we have to deal with imports fitting on one line
  lowerCamelCase_  				=						_re_bracket_content.sub(_replace      ,       UpperCAmelCase_	)
  return import_statement





def __snake_case      (   UpperCAmelCase_		:		Optional[int]      ,       UpperCAmelCase_		:		Tuple=True	):
 with open(UpperCAmelCase_      ,       encoding="utf-8"	) as f:
  lowerCamelCase_  				=						f.read()

 if "_import_structure" not in code:
  return

 # Blocks of indent level 0
 lowerCamelCase_  				=						split_code_in_indented_blocks(
     UpperCAmelCase_      ,       start_prompt="_import_structure = {"      ,       end_prompt="if TYPE_CHECKING:"	)

 # We ignore block 0 (everything untils start_prompt) and the last block (everything after end_prompt).
 for block_idx in range(1      ,       len(UpperCAmelCase_	) - 1	):
  # Check if the block contains some `_import_structure`s thingy to sort.
  lowerCamelCase_  				=						main_blocks[block_idx]
  lowerCamelCase_  				=						block.split("\n"	)

  # Get to the start of the imports.
  lowerCamelCase_  				=						0
  while line_idx < len(UpperCAmelCase_	) and "_import_structure" not in block_lines[line_idx]:
   # Skip dummy import blocks
   if "import dummy" in block_lines[line_idx]:
    lowerCamelCase_  				=						len(UpperCAmelCase_	)
   else:
    line_idx += 1
  if line_idx >= len(UpperCAmelCase_	):
   continue

  # Ignore beginning and last line: they don't contain anything.
  lowerCamelCase_  				=						"\n".join(block_lines[line_idx:-1]	)
  lowerCamelCase_  				=						get_indent(block_lines[1]	)
  # Slit the internal block into blocks of indent level 1.
  lowerCamelCase_  				=						split_code_in_indented_blocks(UpperCAmelCase_      ,       indent_level=UpperCAmelCase_	)
  # We have two categories of import key: list or _import_structure[key].append/extend
  lowerCamelCase_  				=						_re_direct_key if "_import_structure = {" in block_lines[0] else _re_indirect_key
  # Grab the keys, but there is a trap: some lines are empty or just comments.
  lowerCamelCase_  				=						[(pattern.search(UpperCAmelCase_	).groups()[0] if pattern.search(UpperCAmelCase_	) is not None else None) for b in internal_blocks]
  # We only sort the lines with a key.
  lowerCamelCase_  				=						[(i, key) for i, key in enumerate(UpperCAmelCase_	) if key is not None]
  lowerCamelCase_  				=						[x[0] for x in sorted(UpperCAmelCase_      ,       key=lambda UpperCAmelCase_	: x[1]	)]

  # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
  lowerCamelCase_  				=						0
  lowerCamelCase_  				=						[]
  for i in range(len(UpperCAmelCase_	)	):
   if keys[i] is None:
    reorderded_blocks.append(internal_blocks[i]	)
   else:
    lowerCamelCase_  				=						sort_objects_in_import(internal_blocks[sorted_indices[count]]	)
    reorderded_blocks.append(UpperCAmelCase_	)
    count += 1

        # And we put our main block back together with its first and last line.
  lowerCamelCase_  				=						"\n".join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]	)

 if code != "\n".join(UpperCAmelCase_	):
  if check_only:
   return True
  else:
   print(F'''Overwriting {file}.'''	)
   with open(UpperCAmelCase_      ,       "w"      ,       encoding="utf-8"	) as f:
    f.write("\n".join(UpperCAmelCase_	)	)





def __snake_case      (   UpperCAmelCase_		:		Any=True	):
 lowerCamelCase_  				=						[]
 for root, _, files in os.walk(UpperCAmelCase_	):
  if "__init__.py" in files:
   lowerCamelCase_  				=						sort_imports(os.path.join(UpperCAmelCase_      ,       "__init__.py"	)      ,       check_only=UpperCAmelCase_	)
   if result:
    lowerCamelCase_  				=						[os.path.join(UpperCAmelCase_      ,       "__init__.py"	)]
 if len(UpperCAmelCase_	) > 0:
  raise ValueError(F'''Would overwrite {len(UpperCAmelCase_	)} files, run `make style`.'''	)


if __name__ == "__main__":
     a_						:       Union[str, Any]      			=				argparse.ArgumentParser()
     parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
     a_						:       Dict      			=				parser.parse_args()

     sort_imports_in_all_inits(check_only=args.check_only)







'''simple docstring'''

import functools
import operator

from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_						:       List[str]      			=				logging.get_logger(__name__)

a_						:       Dict      			=				{
    """microsoft/unispeech-large-1500h-cv""": (
        """https://huggingface.co/microsoft/unispeech-large-1500h-cv/resolve/main/config.json"""
    ),
    # See all UniSpeech models at https://huggingface.co/models?filter=unispeech
}





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						"unispeech"






  def __init__(					self    ,						UpperCamelCase=32    ,						UpperCamelCase=768    ,						UpperCamelCase=12    ,						UpperCamelCase=12    ,						UpperCamelCase=3072    ,						UpperCamelCase="gelu"    ,						UpperCamelCase=0.1    ,						UpperCamelCase=0.1    ,						UpperCamelCase=0.1    ,						UpperCamelCase=0.0    ,						UpperCamelCase=0.0    ,						UpperCamelCase=0.1    ,						UpperCamelCase=0.1    ,						UpperCamelCase=0.02    ,						UpperCamelCase=1e-5    ,						UpperCamelCase="group"    ,						UpperCamelCase="gelu"    ,						UpperCamelCase=(512, 512, 512, 512, 512, 512, 512)    ,						UpperCamelCase=(5, 2, 2, 2, 2, 2, 2)    ,						UpperCamelCase=(10, 3, 3, 3, 3, 2, 2)    ,						UpperCamelCase=False    ,						UpperCamelCase=128    ,						UpperCamelCase=16    ,						UpperCamelCase=False    ,						UpperCamelCase=True    ,						UpperCamelCase=0.05    ,						UpperCamelCase=10    ,						UpperCamelCase=2    ,						UpperCamelCase=0.0    ,						UpperCamelCase=10    ,						UpperCamelCase=0    ,						UpperCamelCase=320    ,						UpperCamelCase=2    ,						UpperCamelCase=0.1    ,						UpperCamelCase=100    ,						UpperCamelCase=256    ,						UpperCamelCase=256    ,						UpperCamelCase=0.1    ,						UpperCamelCase="mean"    ,						UpperCamelCase=False    ,						UpperCamelCase=False    ,						UpperCamelCase=256    ,						UpperCamelCase=80    ,						UpperCamelCase=0    ,						UpperCamelCase=1    ,						UpperCamelCase=2    ,						UpperCamelCase=0.5    ,						**UpperCamelCase    ,						):







   """simple docstring"""
   super().__init__(**UpperCamelCase    ,						pad_token_id=UpperCamelCase    ,						bos_token_id=UpperCamelCase    ,						eos_token_id=UpperCamelCase  )
   lowerCamelCase_  				=						hidden_size
   lowerCamelCase_  				=						feat_extract_norm
   lowerCamelCase_  				=						feat_extract_activation
   lowerCamelCase_  				=						list(UpperCamelCase  )
   lowerCamelCase_  				=						list(UpperCamelCase  )
   lowerCamelCase_  				=						list(UpperCamelCase  )
   lowerCamelCase_  				=						conv_bias
   lowerCamelCase_  				=						num_conv_pos_embeddings
   lowerCamelCase_  				=						num_conv_pos_embedding_groups
   lowerCamelCase_  				=						len(self.conv_dim  )
   lowerCamelCase_  				=						num_hidden_layers
   lowerCamelCase_  				=						intermediate_size
   lowerCamelCase_  				=						hidden_act
   lowerCamelCase_  				=						num_attention_heads
   lowerCamelCase_  				=						hidden_dropout
   lowerCamelCase_  				=						attention_dropout
   lowerCamelCase_  				=						activation_dropout
   lowerCamelCase_  				=						feat_proj_dropout
   lowerCamelCase_  				=						final_dropout
   lowerCamelCase_  				=						layerdrop
   lowerCamelCase_  				=						layer_norm_eps
   lowerCamelCase_  				=						initializer_range
   lowerCamelCase_  				=						num_ctc_classes
   lowerCamelCase_  				=						vocab_size
   lowerCamelCase_  				=						do_stable_layer_norm
   lowerCamelCase_  				=						use_weighted_layer_sum
   lowerCamelCase_  				=						classifier_proj_size

   if (
       (len(self.conv_stride  ) != self.num_feat_extract_layers)
       or (len(self.conv_kernel  ) != self.num_feat_extract_layers)
       or (len(self.conv_dim  ) != self.num_feat_extract_layers)
   ):
    raise ValueError(
        "Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =="
        " `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ="
        f''' {len(self.conv_dim  )}`, `len(config.conv_stride) = {len(self.conv_stride  )}`,'''
        f''' `len(config.conv_kernel) = {len(self.conv_kernel  )}`.'''  )

   # fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
   lowerCamelCase_  				=						apply_spec_augment
   lowerCamelCase_  				=						mask_time_prob
   lowerCamelCase_  				=						mask_time_length
   lowerCamelCase_  				=						mask_time_min_masks
   lowerCamelCase_  				=						mask_feature_prob
   lowerCamelCase_  				=						mask_feature_length
   lowerCamelCase_  				=						mask_feature_min_masks

   # parameters for pretraining with codevector quantized representations
   lowerCamelCase_  				=						num_codevectors_per_group
   lowerCamelCase_  				=						num_codevector_groups
   lowerCamelCase_  				=						contrastive_logits_temperature
   lowerCamelCase_  				=						feat_quantizer_dropout
   lowerCamelCase_  				=						num_negatives
   lowerCamelCase_  				=						codevector_dim
   lowerCamelCase_  				=						proj_codevector_dim
   lowerCamelCase_  				=						diversity_loss_weight

   # ctc loss
   lowerCamelCase_  				=						ctc_loss_reduction
   lowerCamelCase_  				=						ctc_zero_infinity

   # pretraining loss
   lowerCamelCase_  				=						replace_prob







  @property
  def 						snake_case	(					self  ):







   """simple docstring"""
   return functools.reduce(operator.mul    ,						self.conv_stride    ,						1  )



