





import argparse
import os
import re


UpperCamelCase           =      'src/diffusers'

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






def lowerCamelCase__   (							snake_case_     :  Dict	)				->    int:
   __snake_case								=       _re_indent.search(snake_case_	)
   return "" if search is None else search.groups()[0]






def lowerCamelCase__   (							snake_case_     :  int	,				snake_case_     :  Tuple=""	,				snake_case_     :  Optional[int]=None	,				snake_case_     :  Optional[int]=None	)				->    int:
   __snake_case								=       0
   __snake_case								=       code.split('''\n'''	)
   if start_prompt is not None:
      while not lines[index].startswith(snake_case_	):
         index += 1
      __snake_case								=       ['''\n'''.join(lines[:index]	)]
   else:
      __snake_case								=       []

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

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

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

   return blocks






def lowerCamelCase__   (							snake_case_     :  List[Any]	)				->    str:

   def _inner(snake_case_     :  List[str]	):
      return key(snake_case_	).lower().replace('''_'''	,				''''''	)

   return _inner






def lowerCamelCase__   (							snake_case_     :  Any	,				snake_case_     :  List[Any]=None	)				->    List[str]:

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

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

   __snake_case								=       ignore_underscore(snake_case_	)
   return sorted(snake_case_	,				key=snake_case_	) + sorted(snake_case_	,				key=snake_case_	) + sorted(snake_case_	,				key=snake_case_	)






def lowerCamelCase__   (							snake_case_     :  Union[str, Any]	)				->    str:

   # This inner function sort imports between [ ].
   def _replace(snake_case_     :  Any	):
      __snake_case								=       match.groups()[0]
      if "," not in imports:
         return f"""[{imports}]"""
      __snake_case								=       [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:
         __snake_case								=       keys[:-1]
      return "[" + ", ".join([f"""\"{k}\"""" for k in sort_objects(snake_case_	)]	) + "]"

   __snake_case								=       import_statement.split('''\n'''	)
   if len(snake_case_	) > 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.
      __snake_case								=       2 if lines[1].strip() == '''[''' else 1
      __snake_case								=       [(i, _re_strip_line.search(snake_case_	).groups()[0]) for i, line in enumerate(lines[idx:-idx]	)]
      __snake_case								=       sort_objects(snake_case_	,				key=lambda snake_case_	: x[1]	)
      __snake_case								=       [lines[x[0] + idx] for x in sorted_indices]
      return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]	)
   elif len(snake_case_	) == 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:
         __snake_case								=       _re_bracket_content.sub(_replace	,				lines[1]	)
      else:
         __snake_case								=       [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:
            __snake_case								=       keys[:-1]
         __snake_case								=       get_indent(lines[1]	) + ''', '''.join([f"""\"{k}\"""" for k in sort_objects(snake_case_	)]	)
      return "\n".join(snake_case_	)
   else:
      # Finally we have to deal with imports fitting on one line
      __snake_case								=       _re_bracket_content.sub(_replace	,				snake_case_	)
      return import_statement






def lowerCamelCase__   (							snake_case_     :  Tuple	,				snake_case_     :  Optional[int]=True	)				->    Union[str, Any]:
   with open(snake_case_	,				'''r'''	) as f:
      __snake_case								=       f.read()

   if "_import_structure" not in code:
      return

   # Blocks of indent level 0
   __snake_case								=       split_code_in_indented_blocks(
       snake_case_	,				start_prompt='''_import_structure = {'''	,				end_prompt='''if TYPE_CHECKING:'''	)

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

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

      # Ignore beginning and last line: they don't contain anything.
      __snake_case								=       '''\n'''.join(block_lines[line_idx:-1]	)
      __snake_case								=       get_indent(block_lines[1]	)
      # Slit the internal block into blocks of indent level 1.
      __snake_case								=       split_code_in_indented_blocks(snake_case_	,				indent_level=snake_case_	)
      # We have two categories of import key: list or _import_structure[key].append/extend
      __snake_case								=       _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.
      __snake_case								=       [(pattern.search(snake_case_	).groups()[0] if pattern.search(snake_case_	) is not None else None) for b in internal_blocks]
      # We only sort the lines with a key.
      __snake_case								=       [(i, key) for i, key in enumerate(snake_case_	) if key is not None]
      __snake_case								=       [x[0] for x in sorted(snake_case_	,				key=lambda snake_case_	: x[1]	)]

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

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

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






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


if __name__ == "__main__":
    UpperCamelCase           =      argparse.ArgumentParser()
    parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
    UpperCamelCase           =      parser.parse_args()

    sort_imports_in_all_inits(check_only=args.check_only)








import functools
import operator

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


snake_case_           =      logging.get_logger(__name__)

snake_case_           =      {
    'asapp/sew-d-tiny-100k': 'https://huggingface.co/asapp/sew-d-tiny-100k/resolve/main/config.json',
    # See all SEW-D models at https://huggingface.co/models?filter=sew-d
}

class 		SCREAMING_SNAKE_CASE__    (	_UpperCAmelCase  ):
      A_						:    str							=   'sew-d'


      def __init__(self	:				str    ,      a__	:				List[Any]=32    ,      a__	:				Optional[int]=768    ,      a__	:				Union[str, Any]=12    ,      a__	:				Tuple=12    ,      a__	:				int=3072    ,      a__	:				List[Any]=2    ,      a__	:				Dict=512    ,      a__	:				Dict=256    ,      a__	:				List[str]=True    ,      a__	:				List[str]=True    ,      a__	:				str=("p2c", "c2p")    ,      a__	:				str="layer_norm"    ,      a__	:				str="gelu_python"    ,      a__	:				List[Any]=0.1    ,      a__	:				Dict=0.1    ,      a__	:				Optional[Any]=0.1    ,      a__	:				Union[str, Any]=0.0    ,      a__	:				Dict=0.1    ,      a__	:				int=0.0_2    ,      a__	:				str=1E-7    ,      a__	:				Union[str, Any]=1E-5    ,      a__	:				Union[str, Any]="group"    ,      a__	:				Optional[Any]="gelu"    ,      a__	:				List[Any]=(64, 128, 128, 128, 128, 256, 256, 256, 256, 512, 512, 512, 512)    ,      a__	:				Union[str, Any]=(5, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1)    ,      a__	:				Optional[int]=(10, 3, 1, 3, 1, 3, 1, 3, 1, 2, 1, 2, 1)    ,      a__	:				List[str]=False    ,      a__	:				Optional[Any]=128    ,      a__	:				Union[str, Any]=16    ,      a__	:				Optional[Any]=True    ,      a__	:				List[Any]=0.0_5    ,      a__	:				Tuple=10    ,      a__	:				str=2    ,      a__	:				int=0.0    ,      a__	:				Optional[Any]=10    ,      a__	:				List[Any]=0    ,      a__	:				Optional[int]="mean"    ,      a__	:				List[str]=False    ,      a__	:				Tuple=False    ,      a__	:				Optional[int]=256    ,      a__	:				str=0    ,      a__	:				List[Any]=1    ,      a__	:				int=2    ,      **a__	:				List[str]    ,      ):





         """simple docstring"""



         super().__init__(**a__    ,      pad_token_id=a__    ,      bos_token_id=a__    ,      eos_token_id=a__				)
         __snake_case								=       hidden_size
         __snake_case								=       feat_extract_norm
         __snake_case								=       feat_extract_activation
         __snake_case								=       list(a__				)
         __snake_case								=       list(a__				)
         __snake_case								=       list(a__				)
         __snake_case								=       conv_bias
         __snake_case								=       num_conv_pos_embeddings
         __snake_case								=       num_conv_pos_embedding_groups
         __snake_case								=       len(self.conv_dim				)
         __snake_case								=       num_hidden_layers
         __snake_case								=       intermediate_size
         __snake_case								=       squeeze_factor
         __snake_case								=       max_position_embeddings
         __snake_case								=       position_buckets
         __snake_case								=       share_att_key
         __snake_case								=       relative_attention
         __snake_case								=       norm_rel_ebd
         __snake_case								=       list(a__				)
         __snake_case								=       hidden_act
         __snake_case								=       num_attention_heads
         __snake_case								=       hidden_dropout
         __snake_case								=       attention_dropout
         __snake_case								=       activation_dropout
         __snake_case								=       feat_proj_dropout
         __snake_case								=       final_dropout
         __snake_case								=       layer_norm_eps
         __snake_case								=       feature_layer_norm_eps
         __snake_case								=       initializer_range
         __snake_case								=       vocab_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)`,'''
                f"""but is `len(config.conv_dim) = {len(self.conv_dim				)}`, `len(config.conv_stride)"""
                f"""= {len(self.conv_stride				)}`, `len(config.conv_kernel) = {len(self.conv_kernel				)}`."""				)

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

         # ctc loss
         __snake_case								=       ctc_loss_reduction
         __snake_case								=       ctc_zero_infinity

         # sequence classification
         __snake_case								=       use_weighted_layer_sum
         __snake_case								=       classifier_proj_size


      @property
      def        a			(self	:				List[Any]				):





         """simple docstring"""



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

