
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
UpperCAmelCase__		:     List[str]     			=      "src/diffusers"
UpperCAmelCase__		:     str     			=      "."


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






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






def   lowerCamelCase__							(					a      )      ->   Optional[Any]:
   _A:  Optional[int]					=       object_name.split('''.'''      )
   _A:  List[Any]					=       0

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

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

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

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


UpperCAmelCase__		:     Any     			=      re.compile(R'^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)')
UpperCAmelCase__		:     Optional[int]     			=      re.compile(R'^\s*(\S+)->(\S+)(\s+.*|$)')
UpperCAmelCase__		:     Dict     			=      re.compile(R'<FILL\s+[^>]*>')






def   lowerCamelCase__							(					a      )      ->   Union[str, Any]:
   _A:  Optional[Any]					=       code.split('''\n'''      )
   _A:  str					=       0
   while idx < len(__lowerCamelCase      ) and len(lines[idx]      ) == 0:
      idx += 1
   if idx < len(__lowerCamelCase      ):
      return re.search(R'''^(\s*)\S'''		,		lines[idx]      ).groups()[0]
   return ""






def   lowerCamelCase__							(					a      )      ->   Dict:
   _A:  Tuple					=       len(get_indent(__lowerCamelCase      )      ) > 0
   if has_indent:
      _A:  Optional[Any]					=       f"""class Bla:\n{code}"""
   _A:  Dict					=       black.Mode(target_versions={black.TargetVersion.PYaa}		,		line_length=1_19		,		preview=__lowerCamelCase      )
   _A:  Dict					=       black.format_str(__lowerCamelCase		,		mode=__lowerCamelCase      )
   _A:  Any					=       style_docstrings_in_code(__lowerCamelCase      )
   return result[len('''class Bla:\n'''      ) :] if has_indent else result






def   lowerCamelCase__							(					a		,		a=False      )      ->   str:
   with open(__lowerCamelCase		,		'''r'''		,		encoding='''utf-8'''		,		newline='''\n'''      ) as f:
      _A:  Optional[Any]					=       f.readlines()
   _A:  Optional[int]					=       []
   _A:  str					=       0
   # Not a for loop cause `lines` is going to change (if `overwrite=True`).
   while line_index < len(__lowerCamelCase      ):
      _A:  Dict					=       _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:  Union[str, Any]					=       search.groups()
      _A:  Any					=       find_code_in_diffusers(__lowerCamelCase      )
      _A:  Optional[int]					=       get_indent(__lowerCamelCase      )

      _A:  Tuple					=       line_index + 1 if indent == theoretical_indent else line_index + 2
      _A:  Any					=       theoretical_indent
      _A:  Any					=       start_index

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

      _A:  Optional[int]					=       lines[start_index:line_index]
      _A:  int					=       """""".join(__lowerCamelCase      )

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

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

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

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






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

   check_copies(args.fix_and_overwrite)











import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig


a		:       Optional[Any]			     = {
    "facebook/maskformer-swin-base-ade": (
        "https://huggingface.co/facebook/maskformer-swin-base-ade/blob/main/config.json"
    )
    # See all MaskFormer models at https://huggingface.co/models?filter=maskformer
}

a		:       Optional[Any]			     = logging.get_logger(__name__)
class     a    ( lowercase__   ):



      """simple docstring"""


      a  : str							       =	'maskformer'
      a  : Dict							       =	{'hidden_size': 'mask_feature_size'}
      a  : Optional[Any]							       =	['resnet', 'swin']
      a  : List[Any]							       =	['detr']
      def __init__(      self					:			Optional[int]		,      __lowercase					:			int = 256		,      __lowercase					:			int = 256		,      __lowercase					:			float = 0.1		,      __lowercase					:			bool = False		,      __lowercase					:			Optional[Dict] = None		,      __lowercase					:			Optional[Dict] = None		,      __lowercase					:			float = 0.02		,      __lowercase					:			float = 1.0		,      __lowercase					:			float = 1.0		,      __lowercase					:			float = 1.0		,      __lowercase					:			float = 20.0		,      __lowercase					:			Optional[bool] = None		,      **__lowercase					:			Tuple		,      )							->      str:
        if backbone_config is None:
          # fall back to https://huggingface.co/microsoft/swin-base-patch4-window12-384-in22k
          __UpperCAmelCase							:	List[str]           =  SwinConfig(
              image_size=384		,      in_channels=3		,      patch_size=4		,      embed_dim=128		,      depths=[2, 2, 18, 2]		,      num_heads=[4, 8, 16, 32]		,      window_size=12		,      drop_path_rate=0.3		,      out_features=["""stage1""", """stage2""", """stage3""", """stage4"""]		,      )

        if isinstance(__lowercase		,      __lowercase					):
          __UpperCAmelCase							:	Dict           =  backbone_config.pop("""model_type"""					)
          __UpperCAmelCase							:	Tuple           =  CONFIG_MAPPING[backbone_model_type]
          __UpperCAmelCase							:	List[str]           =  config_class.from_dict(__lowercase					)

        # verify that the backbone is supported
        if backbone_config.model_type not in self.backbones_supported:
          logger.warning_once(
              f"""Backbone {backbone_config.model_type} is not a supported model and may not be compatible with MaskFormer. """
              f"""Supported model types: {",".join(self.backbones_supported					)}"""					)

        if decoder_config is None:
          # fall back to https://huggingface.co/facebook/detr-resnet-50
          __UpperCAmelCase							:	List[Any]           =  DetrConfig()
        else:
          # verify that the decoder is supported
          __UpperCAmelCase							:	List[Any]           =  (
              decoder_config.pop("""model_type"""					) if isinstance(__lowercase		,      __lowercase					) else decoder_config.model_type
          )
          if decoder_type not in self.decoders_supported:
            raise ValueError(
                f"""Transformer Decoder {decoder_type} not supported, please use one of"""
                f""" {",".join(self.decoders_supported					)}"""					)
          if isinstance(__lowercase		,      __lowercase					):
            __UpperCAmelCase							:	Dict           =  CONFIG_MAPPING[decoder_type]
            __UpperCAmelCase							:	Union[str, Any]           =  config_class.from_dict(__lowercase					)

        __UpperCAmelCase							:	Optional[Any]           =  backbone_config
        __UpperCAmelCase							:	List[str]           =  decoder_config
        # main feature dimension for the model
        __UpperCAmelCase							:	Union[str, Any]           =  fpn_feature_size
        __UpperCAmelCase							:	Optional[Any]           =  mask_feature_size
        # initializer
        __UpperCAmelCase							:	int           =  init_std
        __UpperCAmelCase							:	Any           =  init_xavier_std
        # Hungarian matcher && loss
        __UpperCAmelCase							:	Any           =  cross_entropy_weight
        __UpperCAmelCase							:	Optional[Any]           =  dice_weight
        __UpperCAmelCase							:	List[str]           =  mask_weight
        __UpperCAmelCase							:	Union[str, Any]           =  use_auxiliary_loss
        __UpperCAmelCase							:	int           =  no_object_weight
        __UpperCAmelCase							:	int           =  output_auxiliary_logits

        __UpperCAmelCase							:	Optional[Any]           =  self.decoder_config.encoder_attention_heads
        __UpperCAmelCase							:	Dict           =  self.decoder_config.num_hidden_layers
        super().__init__(**__lowercase					)
      @classmethod
      def 	UpperCAmelCase      (      cls					:			int		,      __lowercase					:			PretrainedConfig		,      __lowercase					:			PretrainedConfig		,      **__lowercase					:			str					)							->      Tuple:
        return cls(
            backbone_config=__lowercase		,      decoder_config=__lowercase		,      **__lowercase		,      )




      def 	UpperCAmelCase      (      self					:			List[Any]					)							->      Dict[str, any]:
        __UpperCAmelCase							:	Optional[Any]           =  copy.deepcopy(self.__dict__					)
        __UpperCAmelCase							:	Optional[int]           =  self.backbone_config.to_dict()
        __UpperCAmelCase							:	Any           =  self.decoder_config.to_dict()
        __UpperCAmelCase							:	Tuple           =  self.__class__.model_type
        return output


