

import argparse
import os
import re

import packaging.version


lowerCAmelCase     :   Any						     =  'examples/'
lowerCAmelCase     :   Optional[int]						     =  {
    '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'),
}
lowerCAmelCase     :   Union[str, Any]						     =  {
    'init': 'src/diffusers/__init__.py',
    'setup': 'setup.py',
}
lowerCAmelCase     :   Union[str, Any]						     =  'README.md'

def    A_  (							a					,   a					,   a  ):

      """simple docstring"""



      with open(a					,   'r'					,   encoding='utf-8'					,   newline='\n'  ) as f:
            SCREAMING_SNAKE_CASE_				:  List[Any]           =     f.read()
      SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  Optional[int]           =     REPLACE_PATTERNS[pattern]
      SCREAMING_SNAKE_CASE_				:  Tuple           =     replace.replace('VERSION'					,   a  )
      SCREAMING_SNAKE_CASE_				:  Tuple           =     re_pattern.sub(a					,   a  )
      with open(a					,   'w'					,   encoding='utf-8'					,   newline='\n'  ) as f:
            f.write(a  )

def    A_  (							a  ):

      """simple docstring"""



      for folder, directories, fnames in os.walk(a  ):
            # 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(a					,   a  )					,   a					,   pattern='examples'  )

def    A_  (							a					,   a=False  ):

      """simple docstring"""



      for pattern, fname in REPLACE_FILES.items():
            update_version_in_file(a					,   a					,   a  )
      if not patch:
            update_version_in_examples(a  )

def    A_  (							):

      """simple docstring"""



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

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

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

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

def    A_  (							):

      """simple docstring"""



      with open(REPLACE_FILES['init']					,   'r'  ) as f:
            SCREAMING_SNAKE_CASE_				:  List[Any]           =     f.read()
      SCREAMING_SNAKE_CASE_				:  List[Any]           =     REPLACE_PATTERNS['init'][0].search(a  ).groups()[0]
      return packaging.version.parse(a  )

def    A_  (							a=False  ):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_				:  Dict           =     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_				:  List[Any]           =     default_version.base_version
      elif patch:
            SCREAMING_SNAKE_CASE_				:  List[str]           =     f"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
      else:
            SCREAMING_SNAKE_CASE_				:  List[Any]           =     f"{default_version.major}.{default_version.minor + 1}.0"

      # Now let's ask nicely if that's the right one.
      SCREAMING_SNAKE_CASE_				:  Any           =     input(f"Which version are you releasing? [{default_version}]"  )
      if len(a  ) == 0:
            SCREAMING_SNAKE_CASE_				:  Dict           =     default_version

      print(f"Updating version to {version}."  )
      global_version_update(a					,   patch=a  )

def    A_  (							):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     get_version()
      SCREAMING_SNAKE_CASE_				:  Dict           =     f"{current_version.major}.{current_version.minor + 1}.0.dev0"
      SCREAMING_SNAKE_CASE_				:  int           =     current_version.base_version

      # Check with the user we got that right.
      SCREAMING_SNAKE_CASE_				:  str           =     input(f"Which version are we developing now? [{dev_version}]"  )
      if len(a  ) == 0:
            SCREAMING_SNAKE_CASE_				:  int           =     dev_version

      print(f"Updating version to {version}."  )
      global_version_update(a  )


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
    lowerCAmelCase     :   Dict						     =  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.')
    lowerCAmelCase     :   List[Any]						     =  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()









from collections import OrderedDict
from typing import Mapping

from packaging import version

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


lowerCAmelCase     :   Dict						     =  logging.get_logger(__name__)

lowerCAmelCase     :   str						     =  {
    'microsoft/table-transformer-detection': (
        'https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json'
    ),
}
class  _A		(  __magic_name__):
  SCREAMING_SNAKE_CASE    :      Union[str, Any]       =  '''table-transformer'''
  SCREAMING_SNAKE_CASE    :      Any       =  ['''past_key_values''']
  SCREAMING_SNAKE_CASE    :      Optional[int]       =  {
      '''hidden_size''': '''d_model''',
      '''num_attention_heads''': '''encoder_attention_heads''',
  }

  def __init__(				self ,					_SCREAMING_SNAKE_CASE=True ,					_SCREAMING_SNAKE_CASE=None ,					_SCREAMING_SNAKE_CASE=3 ,					_SCREAMING_SNAKE_CASE=100 ,					_SCREAMING_SNAKE_CASE=6 ,					_SCREAMING_SNAKE_CASE=2048 ,					_SCREAMING_SNAKE_CASE=8 ,					_SCREAMING_SNAKE_CASE=6 ,					_SCREAMING_SNAKE_CASE=2048 ,					_SCREAMING_SNAKE_CASE=8 ,					_SCREAMING_SNAKE_CASE=0.0 ,					_SCREAMING_SNAKE_CASE=0.0 ,					_SCREAMING_SNAKE_CASE=True ,					_SCREAMING_SNAKE_CASE="relu" ,					_SCREAMING_SNAKE_CASE=256 ,					_SCREAMING_SNAKE_CASE=0.1 ,					_SCREAMING_SNAKE_CASE=0.0 ,					_SCREAMING_SNAKE_CASE=0.0 ,					_SCREAMING_SNAKE_CASE=0.02 ,					_SCREAMING_SNAKE_CASE=1.0 ,					_SCREAMING_SNAKE_CASE=False ,					_SCREAMING_SNAKE_CASE="sine" ,					_SCREAMING_SNAKE_CASE="resnet50" ,					_SCREAMING_SNAKE_CASE=True ,					_SCREAMING_SNAKE_CASE=False ,					_SCREAMING_SNAKE_CASE=1 ,					_SCREAMING_SNAKE_CASE=5 ,					_SCREAMING_SNAKE_CASE=2 ,					_SCREAMING_SNAKE_CASE=1 ,					_SCREAMING_SNAKE_CASE=1 ,					_SCREAMING_SNAKE_CASE=5 ,					_SCREAMING_SNAKE_CASE=2 ,					_SCREAMING_SNAKE_CASE=0.1 ,					**_SCREAMING_SNAKE_CASE ,					):





        """simple docstring"""







        if backbone_config is not None and use_timm_backbone:
              raise ValueError('You can\'t specify both `backbone_config` and `use_timm_backbone`.'					)

        if not use_timm_backbone:
              if backbone_config is None:
                    logger.info('`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'					)
                    SCREAMING_SNAKE_CASE_				:  List[Any]           =     CONFIG_MAPPING['resnet'](out_features=['stage4']					)
              elif isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
                    SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     backbone_config.get('model_type'					)
                    SCREAMING_SNAKE_CASE_				:  str           =     CONFIG_MAPPING[backbone_model_type]
                    SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     config_class.from_dict(_SCREAMING_SNAKE_CASE					)
              # set timm attributes to None
              SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  Optional[int]           =     None, None, None

        SCREAMING_SNAKE_CASE_				:  Any           =     use_timm_backbone
        SCREAMING_SNAKE_CASE_				:  int           =     backbone_config
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     num_channels
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     num_queries
        SCREAMING_SNAKE_CASE_				:  int           =     d_model
        SCREAMING_SNAKE_CASE_				:  int           =     encoder_ffn_dim
        SCREAMING_SNAKE_CASE_				:  Any           =     encoder_layers
        SCREAMING_SNAKE_CASE_				:  str           =     encoder_attention_heads
        SCREAMING_SNAKE_CASE_				:  List[str]           =     decoder_ffn_dim
        SCREAMING_SNAKE_CASE_				:  str           =     decoder_layers
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     decoder_attention_heads
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     dropout
        SCREAMING_SNAKE_CASE_				:  int           =     attention_dropout
        SCREAMING_SNAKE_CASE_				:  Dict           =     activation_dropout
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     activation_function
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     init_std
        SCREAMING_SNAKE_CASE_				:  int           =     init_xavier_std
        SCREAMING_SNAKE_CASE_				:  str           =     encoder_layerdrop
        SCREAMING_SNAKE_CASE_				:  Any           =     decoder_layerdrop
        SCREAMING_SNAKE_CASE_				:  Any           =     encoder_layers
        SCREAMING_SNAKE_CASE_				:  List[str]           =     auxiliary_loss
        SCREAMING_SNAKE_CASE_				:  List[str]           =     position_embedding_type
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     backbone
        SCREAMING_SNAKE_CASE_				:  Tuple           =     use_pretrained_backbone
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     dilation
        # Hungarian matcher
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     class_cost
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     bbox_cost
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     giou_cost
        # Loss coefficients
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     mask_loss_coefficient
        SCREAMING_SNAKE_CASE_				:  str           =     dice_loss_coefficient
        SCREAMING_SNAKE_CASE_				:  Dict           =     bbox_loss_coefficient
        SCREAMING_SNAKE_CASE_				:  int           =     giou_loss_coefficient
        SCREAMING_SNAKE_CASE_				:  Any           =     eos_coefficient
        super().__init__(is_encoder_decoder=_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					)

  @property
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        return self.encoder_attention_heads



  @property
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        return self.d_model

class  _A		(  __magic_name__):
  SCREAMING_SNAKE_CASE    :      List[Any]       =  version.parse('''1.11''')

  @property
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        return OrderedDict(
            [
                ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
                ('pixel_mask', {0: 'batch'}),
            ]					)

  @property
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        return 1e-5



  @property
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        return 12






