

import argparse
import os
import re

import packaging.version


A_       						=							"examples/"
A_       						=							{
    "examples": (re.compile(R"^check_min_version\(\"[^\"]+\"\)\s*$", re.MULTILINE), "check_min_version(\"VERSION\")\n"),
    "init": (re.compile(R"^__version__\s+=\s+\"([^\"]+)\"\s*$", re.MULTILINE), "__version__ = \"VERSION\"\n"),
    "setup": (re.compile(R"^(\s*)version\s*=\s*\"[^\"]+\",", re.MULTILINE), R"\1version=\"VERSION\","),
    "doc": (re.compile(R"^(\s*)release\s*=\s*\"[^\"]+\"$", re.MULTILINE), "release = \"VERSION\"\n"),
}
A_       						=							{
    "init": "src/transformers/__init__.py",
    "setup": "setup.py",
}
A_       						=							"README.md"





def    A_  ( snake_case      ,       snake_case      ,       snake_case ):
  with open(snake_case      ,       "r"      ,       encoding="utf-8"      ,       newline="\n" ) as f:
    SCREAMING_SNAKE_CASE:Union[str, Any]						      =					f.read()
  SCREAMING_SNAKE_CASE:str						      =					REPLACE_PATTERNS[pattern]
  SCREAMING_SNAKE_CASE:str						      =					replace.replace("VERSION"      ,       snake_case )
  SCREAMING_SNAKE_CASE:str						      =					re_pattern.sub(snake_case      ,       snake_case )
  with open(snake_case      ,       "w"      ,       encoding="utf-8"      ,       newline="\n" ) as f:
    f.write(snake_case )





def    A_  ( snake_case ):
  for folder, directories, fnames in os.walk(snake_case ):
    # Removing some of the folders with non-actively maintained examples from the walk
    if "research_projects" in directories:
      directories.remove("research_projects" )
    if "legacy" in directories:
      directories.remove("legacy" )
    for fname in fnames:
      if fname.endswith(".py" ):
        update_version_in_file(os.path.join(snake_case      ,       snake_case )      ,       snake_case      ,       pattern="examples" )





def    A_  ( snake_case      ,       snake_case=False ):
  for pattern, fname in REPLACE_FILES.items():
    update_version_in_file(snake_case      ,       snake_case      ,       snake_case )
  if not patch:
    update_version_in_examples(snake_case )





def    A_  ( ):
  SCREAMING_SNAKE_CASE:str						      =					"🤗 Transformers currently provides the following architectures"
  SCREAMING_SNAKE_CASE:List[str]						      =					"1. Want to contribute a new model?"
  with open(snake_case      ,       "r"      ,       encoding="utf-8"      ,       newline="\n" ) as f:
    SCREAMING_SNAKE_CASE:int						      =					f.readlines()

  # Find the start of the list.
  SCREAMING_SNAKE_CASE:Tuple						      =					0
  while not lines[start_index].startswith(_start_prompt ):
    start_index += 1
  start_index += 1

  SCREAMING_SNAKE_CASE:Union[str, Any]						      =					start_index
  # Update the lines in the model list.
  while not lines[index].startswith(_end_prompt ):
    if lines[index].startswith("1." ):
      SCREAMING_SNAKE_CASE:List[str]						      =					lines[index].replace(
          "https://huggingface.co/docs/transformers/main/model_doc"      ,       "https://huggingface.co/docs/transformers/model_doc"      ,       )
    index += 1

  with open(snake_case      ,       "w"      ,       encoding="utf-8"      ,       newline="\n" ) as f:
    f.writelines(snake_case )





def    A_  ( ):
  with open(REPLACE_FILES["init"]      ,       "r" ) as f:
    SCREAMING_SNAKE_CASE:List[str]						      =					f.read()
  SCREAMING_SNAKE_CASE:Optional[Any]						      =					REPLACE_PATTERNS["init"][0].search(snake_case ).groups()[0]
  return packaging.version.parse(snake_case )





def    A_  ( snake_case=False ):
  SCREAMING_SNAKE_CASE:int						      =					get_version()
  if patch and default_version.is_devrelease:
    raise ValueError("Can't create a patch version from the dev branch, checkout a released version!" )
  if default_version.is_devrelease:
    SCREAMING_SNAKE_CASE:Dict						      =					default_version.base_version
  elif patch:
    SCREAMING_SNAKE_CASE:str						      =					F'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
  else:
    SCREAMING_SNAKE_CASE:Dict						      =					F'''{default_version.major}.{default_version.minor + 1}.0'''

  # Now let's ask nicely if that's the right one.
  SCREAMING_SNAKE_CASE:List[Any]						      =					input(F'''Which version are you releasing? [{default_version}]''' )
  if len(snake_case ) == 0:
    SCREAMING_SNAKE_CASE:int						      =					default_version

  print(F'''Updating version to {version}.''' )
  global_version_update(snake_case      ,       patch=snake_case )
  if not patch:
    print("Cleaning main README, don't forget to run `make fix-copies`." )
    clean_main_ref_in_model_list()





def    A_  ( ):
  SCREAMING_SNAKE_CASE:Tuple						      =					get_version()
  SCREAMING_SNAKE_CASE:Dict						      =					F'''{current_version.major}.{current_version.minor + 1}.0.dev0'''
  SCREAMING_SNAKE_CASE:str						      =					current_version.base_version

  # Check with the user we got that right.
  SCREAMING_SNAKE_CASE:List[Any]						      =					input(F'''Which version are we developing now? [{dev_version}]''' )
  if len(snake_case ) == 0:
    SCREAMING_SNAKE_CASE:int						      =					dev_version

  print(F'''Updating version to {version}.''' )
  global_version_update(snake_case )
  print("Cleaning main README, don't forget to run `make fix-copies`." )
  clean_main_ref_in_model_list()


if __name__ == "__main__":
    A_       						=							argparse.ArgumentParser()
    parser.add_argument("--post_release", action="store_true", help="Whether this is pre or post release.")
    parser.add_argument("--patch", action="store_true", help="Whether or not this is a patch release.")
    A_       						=							parser.parse_args()
    if not args.post_release:
        pre_release_work(patch=args.patch)
    elif args.patch:
        print("Nothing to do after a patch :-)")
    else:
        post_release_work()









'''simple docstring'''

import copy
from typing import Dict, List, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


A_       						=							{
    "facebook/mask2former-swin-small-coco-instance": (
        "https://huggingface.co/facebook/mask2former-swin-small-coco-instance/blob/main/config.json"
    )
    # See all Mask2Former models at https://huggingface.co/models?filter=mask2former
}

A_       						=							logging.get_logger(__name__)





class 							_snake_case (       _a						):
   _A       :     List[Any]       =					'''mask2former'''
   _A       :     str       =					['''swin''']
   _A       :     Tuple       =					{'''hidden_size''': '''hidden_dim'''}
   def __init__( self			:      Tuple     ,SCREAMING_SNAKE_CASE__			:      Optional[Dict] = None     ,SCREAMING_SNAKE_CASE__			:      int = 256     ,SCREAMING_SNAKE_CASE__			:      int = 256     ,SCREAMING_SNAKE_CASE__			:      int = 256     ,SCREAMING_SNAKE_CASE__			:      int = 1_024     ,SCREAMING_SNAKE_CASE__			:      str = "relu"     ,SCREAMING_SNAKE_CASE__			:      int = 6     ,SCREAMING_SNAKE_CASE__			:      int = 10     ,SCREAMING_SNAKE_CASE__			:      int = 8     ,SCREAMING_SNAKE_CASE__			:      float = 0.0     ,SCREAMING_SNAKE_CASE__			:      int = 2_048     ,SCREAMING_SNAKE_CASE__			:      bool = False     ,SCREAMING_SNAKE_CASE__			:      bool = False     ,SCREAMING_SNAKE_CASE__			:      int = 4     ,SCREAMING_SNAKE_CASE__			:      int = 255     ,SCREAMING_SNAKE_CASE__			:      int = 100     ,SCREAMING_SNAKE_CASE__			:      float = 0.1     ,SCREAMING_SNAKE_CASE__			:      float = 2.0     ,SCREAMING_SNAKE_CASE__			:      float = 5.0     ,SCREAMING_SNAKE_CASE__			:      float = 5.0     ,SCREAMING_SNAKE_CASE__			:      int = 12_544     ,SCREAMING_SNAKE_CASE__			:      float = 3.0     ,SCREAMING_SNAKE_CASE__			:      float = 0.75     ,SCREAMING_SNAKE_CASE__			:      float = 0.02     ,SCREAMING_SNAKE_CASE__			:      float = 1.0     ,SCREAMING_SNAKE_CASE__			:      bool = True     ,SCREAMING_SNAKE_CASE__			:      List[int] = [4, 8, 16, 32]     ,SCREAMING_SNAKE_CASE__			:      bool = None     ,**SCREAMING_SNAKE_CASE__			:      Dict     ,):
     if backbone_config is None:
       logger.info("`backbone_config` is `None`. Initializing the config with the default `Swin` backbone."							)
       SCREAMING_SNAKE_CASE:Union[str, Any]						      =					CONFIG_MAPPING["swin"](
           image_size=224     ,in_channels=3     ,patch_size=4     ,embed_dim=96     ,depths=[2, 2, 18, 2]     ,num_heads=[3, 6, 12, 24]     ,window_size=7     ,drop_path_rate=0.3     ,use_absolute_embeddings=SCREAMING_SNAKE_CASE__     ,out_features=["stage1", "stage2", "stage3", "stage4"]     ,)

     if isinstance(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							):
       SCREAMING_SNAKE_CASE:Any						      =					backbone_config.pop("model_type"							)
       SCREAMING_SNAKE_CASE:List[str]						      =					CONFIG_MAPPING[backbone_model_type]
       SCREAMING_SNAKE_CASE:List[str]						      =					config_class.from_dict(SCREAMING_SNAKE_CASE__							)

     # 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 Mask2Former. '''
           F'''Supported model types: {",".join(self.backbones_supported							)}'''							)

     SCREAMING_SNAKE_CASE:List[str]						      =					backbone_config
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					feature_size
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					mask_feature_size
     SCREAMING_SNAKE_CASE:str						      =					hidden_dim
     SCREAMING_SNAKE_CASE:Optional[int]						      =					encoder_feedforward_dim
     SCREAMING_SNAKE_CASE:Tuple						      =					activation_function
     SCREAMING_SNAKE_CASE:Optional[int]						      =					encoder_layers
     SCREAMING_SNAKE_CASE:List[Any]						      =					decoder_layers
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					num_attention_heads
     SCREAMING_SNAKE_CASE:Dict						      =					dropout
     SCREAMING_SNAKE_CASE:List[str]						      =					dim_feedforward
     SCREAMING_SNAKE_CASE:int						      =					pre_norm
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					enforce_input_projection
     SCREAMING_SNAKE_CASE:Any						      =					common_stride
     SCREAMING_SNAKE_CASE:int						      =					ignore_value
     SCREAMING_SNAKE_CASE:List[Any]						      =					num_queries
     SCREAMING_SNAKE_CASE:Dict						      =					no_object_weight
     SCREAMING_SNAKE_CASE:str						      =					class_weight
     SCREAMING_SNAKE_CASE:Tuple						      =					mask_weight
     SCREAMING_SNAKE_CASE:Optional[int]						      =					dice_weight
     SCREAMING_SNAKE_CASE:int						      =					train_num_points
     SCREAMING_SNAKE_CASE:str						      =					oversample_ratio
     SCREAMING_SNAKE_CASE:str						      =					importance_sample_ratio
     SCREAMING_SNAKE_CASE:str						      =					init_std
     SCREAMING_SNAKE_CASE:Any						      =					init_xavier_std
     SCREAMING_SNAKE_CASE:List[Any]						      =					use_auxiliary_loss
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					feature_strides
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					output_auxiliary_logits
     SCREAMING_SNAKE_CASE:Dict						      =					decoder_layers

     super().__init__(**SCREAMING_SNAKE_CASE__							)
   @classmethod
   def     __UpperCamelCase						( cls			:      Tuple     ,SCREAMING_SNAKE_CASE__			:      PretrainedConfig     ,**SCREAMING_SNAKE_CASE__			:      Union[str, Any]							):
     return cls(
         backbone_config=SCREAMING_SNAKE_CASE__     ,**SCREAMING_SNAKE_CASE__     ,)







   def     __UpperCamelCase						( self			:      List[Any]							):
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					copy.deepcopy(self.__dict__							)
     SCREAMING_SNAKE_CASE:str						      =					self.backbone_config.to_dict()
     SCREAMING_SNAKE_CASE:List[str]						      =					self.__class__.model_type
     return output






