





"""simple docstring"""






import argparse
import os
import re

import packaging.version


lowerCAmelCase_			=							'''examples/'''
lowerCAmelCase_			=							{
    '''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_			=							{
    '''init''': '''src/diffusers/__init__.py''',
    '''setup''': '''setup.py''',
}
lowerCAmelCase_			=							'''README.md'''

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE							)		->       Tuple:






       """simple docstring"""




       with open(SCREAMING_SNAKE_CASE,'r',encoding='utf-8',newline='\n'							) as f:
              _UpperCAmelCase     =     f.read()
       _UpperCAmelCase    ,							_UpperCAmelCase     =     REPLACE_PATTERNS[pattern]
       _UpperCAmelCase     =     replace.replace('VERSION',SCREAMING_SNAKE_CASE							)
       _UpperCAmelCase     =     re_pattern.sub(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE							)
       with open(SCREAMING_SNAKE_CASE,'w',encoding='utf-8',newline='\n'							) as f:
              f.write(SCREAMING_SNAKE_CASE							)

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE							)		->       Optional[Any]:






       """simple docstring"""




       for folder, directories, fnames in os.walk(SCREAMING_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(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE							),SCREAMING_SNAKE_CASE,pattern='examples'							)

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE=False							)		->       Any:






       """simple docstring"""




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

def       __lowerCamelCase    (       )		->       int:






       """simple docstring"""




       _UpperCAmelCase     =     '🤗 Transformers currently provides the following architectures'
       _UpperCAmelCase     =     '1. Want to contribute a new model?'
       with open(SCREAMING_SNAKE_CASE,'r',encoding='utf-8',newline='\n'							) as f:
              _UpperCAmelCase     =     f.readlines()

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

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

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

def       __lowerCamelCase    (       )		->       Any:






       """simple docstring"""




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

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE=False							)		->       str:






       """simple docstring"""




       _UpperCAmelCase     =     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:
              _UpperCAmelCase     =     default_version.base_version
       elif patch:
              _UpperCAmelCase     =     F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
       else:
              _UpperCAmelCase     =     F"""{default_version.major}.{default_version.minor + 1}.0"""

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

       print(F"""Updating version to {version}."""							)
       global_version_update(SCREAMING_SNAKE_CASE,patch=SCREAMING_SNAKE_CASE							)

def       __lowerCamelCase    (       )		->       Optional[int]:






       """simple docstring"""




       _UpperCAmelCase     =     get_version()
       _UpperCAmelCase     =     F"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
       _UpperCAmelCase     =     current_version.base_version

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

       print(F"""Updating version to {version}."""							)
       global_version_update(SCREAMING_SNAKE_CASE							)


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


if __name__ == "__main__":
    lowerCAmelCase_			=							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_			=							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"""






from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
    from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


lowerCAmelCase_			=							logging.get_logger(__name__)

lowerCAmelCase_			=							{
    '''microsoft/deberta-v2-xlarge''': '''https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json''',
    '''microsoft/deberta-v2-xxlarge''': '''https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json''',
    '''microsoft/deberta-v2-xlarge-mnli''': (
        '''https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json'''
    ),
    '''microsoft/deberta-v2-xxlarge-mnli''': (
        '''https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json'''
    ),
}



class 	lowerCAmelCase					(      snake_case							):
       lowerCAmelCase__						 =  """deberta-v2"""






       def __init__(   self    ,  a__=12_81_00    ,  a__=15_36    ,  a__=24    ,  a__=24    ,  a__=61_44    ,  a__="gelu"    ,  a__=0.1    ,  a__=0.1    ,  a__=5_12    ,  a__=0    ,  a__=0.02    ,  a__=1E-7    ,  a__=False    ,  a__=-1    ,  a__=0    ,  a__=True    ,  a__=None    ,  a__=0    ,  a__="gelu"    ,  **a__    ,  ):
              super().__init__(**a__     )

              _UpperCAmelCase     =     hidden_size
              _UpperCAmelCase     =     num_hidden_layers
              _UpperCAmelCase     =     num_attention_heads
              _UpperCAmelCase     =     intermediate_size
              _UpperCAmelCase     =     hidden_act
              _UpperCAmelCase     =     hidden_dropout_prob
              _UpperCAmelCase     =     attention_probs_dropout_prob
              _UpperCAmelCase     =     max_position_embeddings
              _UpperCAmelCase     =     type_vocab_size
              _UpperCAmelCase     =     initializer_range
              _UpperCAmelCase     =     relative_attention
              _UpperCAmelCase     =     max_relative_positions
              _UpperCAmelCase     =     pad_token_id
              _UpperCAmelCase     =     position_biased_input

              # Backwards compatibility
              if type(a__     ) == str:
                     _UpperCAmelCase     =     [x.strip() for x in pos_att_type.lower().split('|'     )]

              _UpperCAmelCase     =     pos_att_type
              _UpperCAmelCase     =     vocab_size
              _UpperCAmelCase     =     layer_norm_eps

              _UpperCAmelCase     =     kwargs.get('pooler_hidden_size'    ,  a__     )
              _UpperCAmelCase     =     pooler_dropout
              _UpperCAmelCase     =     pooler_hidden_act



class 	lowerCAmelCase					(      snake_case							):






       @property
       def 							__A (   self     ):
              if self.task == "multiple-choice":
                     _UpperCAmelCase     =     {0: 'batch', 1: 'choice', 2: 'sequence'}
              else:
                     _UpperCAmelCase     =     {0: 'batch', 1: 'sequence'}
              if self._config.type_vocab_size > 0:
                     return OrderedDict(
                         [('input_ids', dynamic_axis), ('attention_mask', dynamic_axis), ('token_type_ids', dynamic_axis)]     )
              else:
                     return OrderedDict([('input_ids', dynamic_axis), ('attention_mask', dynamic_axis)]     )






       @property
       def 							__A (   self     ):
              return 12






       def 							__A (   self    ,  a__    ,  a__ = -1    ,  a__ = -1    ,  a__ = -1    ,  a__ = False    ,  a__ = None    ,  a__ = 3    ,  a__ = 40    ,  a__ = 40    ,  a__ = None    ,  ):
              _UpperCAmelCase     =     super().generate_dummy_inputs(preprocessor=a__    ,  framework=a__     )
              if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
                     del dummy_inputs["token_type_ids"]
              return dummy_inputs






