






"""simple docstring"""


import copy
import os
from typing import Union

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


_UpperCamelCase    :   Tuple   			=						logging.get_logger(__name__)

_UpperCamelCase    :   Union[str, Any]   			=						{
    'google/pix2struct-textcaps-base': (
        'https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json'
    ),
}






class 						snake_case  (  UpperCAmelCase	):
    __magic_name__   					=					'''pix2struct_text_model'''
    __magic_name__   					=					['''past_key_values''']
    __magic_name__   					=					{
        '''hidden_size''': '''hidden_size''',
        '''num_attention_heads''': '''num_heads''',
        '''num_hidden_layers''': '''num_layers''',
    }





    def __init__(							self     : Optional[Any]    ,		A     : Union[str, Any]=5_0_2_4_4    ,		A     : Any=7_6_8    ,		A     : int=6_4    ,		A     : Optional[int]=2_0_4_8    ,		A     : List[Any]=1_2    ,		A     : str=1_2    ,		A     : Union[str, Any]=3_2    ,		A     : Optional[int]=1_2_8    ,		A     : Union[str, Any]=0.1    ,		A     : Tuple=1E-6    ,		A     : Union[str, Any]=1.0    ,		A     : List[str]="gelu_new"    ,		A     : Any=0    ,		A     : List[str]=False    ,		A     : Optional[Any]=0    ,		A     : Any=1    ,		A     : Optional[int]=False    ,		A     : Union[str, Any]=True    ,		**A     : str    ,		):


      '''simple docstring'''




      a					:      Any    =       vocab_size
      a					:      Any    =       hidden_size
      a					:      Tuple    =       d_kv
      a					:      Any    =       d_ff
      a					:      Optional[int]    =       num_layers
      a					:      Optional[int]    =       num_heads
      a					:      str    =       relative_attention_num_buckets
      a					:      Optional[int]    =       relative_attention_max_distance
      a					:      Tuple    =       dropout_rate
      a					:      Optional[Any]    =       layer_norm_epsilon
      a					:      Union[str, Any]    =       initializer_factor
      a					:      Tuple    =       use_cache

      a					:      int    =       eos_token_id
      a					:      int    =       decoder_start_token_id

      # for backwards compatibility
      a					:      Tuple    =       dense_act_fn

      super().__init__(
          pad_token_id=A    ,		eos_token_id=A    ,		decoder_start_token_id=A    ,		tie_word_embeddings=A    ,		is_decoder=A    ,		**A    ,		)





    @classmethod
    def     lowerCamelCase__				(							cls     : Optional[int]    ,		A     : Union[str, os.PathLike]    ,		**A     : Any      ):


      '''simple docstring'''




      cls._set_token_in_kwargs(A      )

      a,					a					:      str    =       cls.get_config_dict(A    ,		**A      )

      # get the text config dict if we are loading from Pix2StructConfig
      if config_dict.get('model_type'      ) == "pix2struct":
        a					:      str    =       config_dict['text_config']

      if "model_type" in config_dict and hasattr(cls    ,		'model_type'      ) and config_dict["model_type"] != cls.model_type:
        logger.warning(
            F'''You are using a model of type {config_dict['model_type']} to instantiate a model of type '''
            F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''      )

      return cls.from_dict(A    ,		**A      )






class 						snake_case  (  UpperCAmelCase	):
    __magic_name__   					=					'''pix2struct_vision_model'''





    def __init__(							self     : Union[str, Any]    ,		A     : str=7_6_8    ,		A     : Optional[Any]=7_6_8    ,		A     : Optional[Any]=2_0_4_8    ,		A     : List[Any]=6_4    ,		A     : str=1_2    ,		A     : Optional[int]=1_2    ,		A     : List[str]="gelu_new"    ,		A     : Any=1E-6    ,		A     : str=0.0    ,		A     : List[Any]=0.0    ,		A     : Any=1E-10    ,		A     : Optional[Any]=1.0    ,		A     : List[Any]=4_0_9_6    ,		A     : str=3_2    ,		A     : Optional[Any]=1_2_8    ,		**A     : Any    ,		):


      '''simple docstring'''




      super().__init__(**A      )

      a					:      int    =       hidden_size
      a					:      Optional[Any]    =       patch_embed_hidden_size
      a					:      str    =       d_ff
      a					:      Optional[int]    =       dropout_rate
      a					:      List[str]    =       num_hidden_layers
      a					:      Any    =       num_attention_heads
      a					:      List[Any]    =       initializer_range
      a					:      Optional[Any]    =       initializer_factor
      a					:      List[str]    =       attention_dropout
      a					:      List[str]    =       layer_norm_eps
      a					:      Any    =       dense_act_fn
      a					:      Optional[int]    =       seq_len
      a					:      List[str]    =       relative_attention_num_buckets
      a					:      Dict    =       relative_attention_max_distance
      a					:      Tuple    =       d_kv





    @classmethod
    def     lowerCamelCase__				(							cls     : str    ,		A     : Union[str, os.PathLike]    ,		**A     : List[str]      ):


      '''simple docstring'''




      cls._set_token_in_kwargs(A      )

      a,					a					:      List[str]    =       cls.get_config_dict(A    ,		**A      )

      # get the vision config dict if we are loading from Pix2StructConfig
      if config_dict.get('model_type'      ) == "pix2struct":
        a					:      Tuple    =       config_dict['vision_config']

      if "model_type" in config_dict and hasattr(cls    ,		'model_type'      ) and config_dict["model_type"] != cls.model_type:
        logger.warning(
            F'''You are using a model of type {config_dict['model_type']} to instantiate a model of type '''
            F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''      )

      return cls.from_dict(A    ,		**A      )






class 						snake_case  (  UpperCAmelCase	):
    __magic_name__   					=					'''pix2struct'''
    __magic_name__   					=					True





    def __init__(							self     : Union[str, Any]    ,		A     : Union[str, Any]=None    ,		A     : List[Any]=None    ,		A     : Optional[int]=1.0    ,		A     : Any=0.02    ,		A     : Tuple=False    ,		A     : Tuple=False    ,		A     : Union[str, Any]=True    ,		**A     : Tuple    ,		):


      '''simple docstring'''




      super().__init__(tie_word_embeddings=A    ,		is_encoder_decoder=A    ,		**A      )

      if text_config is None:
        a					:      List[Any]    =       {}
        logger.info('text_config is None. Initializing the Pix2StructTextConfig with default values.'      )

      if vision_config is None:
        a					:      Any    =       {}
        logger.info('vision_config is None. Initializing the Pix2StructVisionConfig with default values.'      )

      a					:      str    =       PixaStructTextConfig(**A      )
      a					:      Optional[Any]    =       PixaStructVisionConfig(**A      )

      a					:      str    =       self.text_config.decoder_start_token_id
      a					:      Dict    =       self.text_config.pad_token_id
      a					:      str    =       self.text_config.eos_token_id

      a					:      Optional[Any]    =       initializer_factor
      a					:      Union[str, Any]    =       initializer_range

      a					:      Optional[Any]    =       self.initializer_range
      a					:      Dict    =       self.initializer_range

      a					:      int    =       is_vqa





    @classmethod
    def     lowerCamelCase__				(							cls     : Optional[int]    ,		A     : PixaStructTextConfig    ,		A     : PixaStructVisionConfig    ,		**A     : List[Any]      ):


      '''simple docstring'''




      return cls(text_config=text_config.to_dict()    ,		vision_config=vision_config.to_dict()    ,		**A      )





    def     lowerCamelCase__				(							self     : Dict      ):


      '''simple docstring'''




      a					:      List[Any]    =       copy.deepcopy(self.__dict__      )
      a					:      int    =       self.text_config.to_dict()
      a					:      Dict    =       self.vision_config.to_dict()
      a					:      Optional[Any]    =       self.__class__.model_type
      return output












"""simple docstring"""


import argparse
import os
import re

import packaging.version


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




def       snake_case  (A_				:str     ,      A_				:Optional[Any]     ,      A_				:Any				):







  '''simple docstring'''

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




def       snake_case  (A_				:List[Any]				):







  '''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       snake_case  (A_				:Tuple     ,      A_				:Optional[Any]=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       snake_case  ():







  '''simple docstring'''

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

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

  a					:      Optional[Any]    =       start_index
  # Update the lines in the model list.
  while not lines[index].startswith(_end_prompt				):
    if lines[index].startswith('1.'				):
      a					:      int    =       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       snake_case  ():







  '''simple docstring'''

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




def       snake_case  (A_				:Optional[Any]=False				):







  '''simple docstring'''

  a					:      Optional[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:
    a					:      Tuple    =       default_version.base_version
  elif patch:
    a					:      Union[str, Any]    =       f'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
  else:
    a					:      Optional[Any]    =       f'''{default_version.major}.{default_version.minor + 1}.0'''

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

  print(f'''Updating version to {version}.'''				)
  global_version_update(A_     ,      patch=A_				)




def       snake_case  ():







  '''simple docstring'''

  a					:      str    =       get_version()
  a					:      Optional[int]    =       f'''{current_version.major}.{current_version.minor + 1}.0.dev0'''
  a					:      Optional[int]    =       current_version.base_version

  # Check with the user we got that right.
  a					:      str    =       input(f'''Which version are we developing now? [{dev_version}]'''				)
  if len(A_				) == 0:
    a					:      Union[str, Any]    =       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__":
   _UpperCamelCase    :   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.')
   _UpperCamelCase    :   Optional[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()




