





import argparse
import os
import re

import packaging.version


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


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


def       UpperCamelCase__(			UpperCamelCase__     :			Optional[Any]    )->Optional[int]:
       for folder, directories, fnames in os.walk(UpperCamelCase__    ):
              # 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(UpperCamelCase__					,	UpperCamelCase__    )					,	UpperCamelCase__					,	pattern='''examples'''    )


def       UpperCamelCase__(			UpperCamelCase__     :			str					,	UpperCamelCase__     :			Any=False    )->int:
       for pattern, fname in REPLACE_FILES.items():
              update_version_in_file(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__    )
       if not patch:
              update_version_in_examples(UpperCamelCase__    )


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

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

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

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


def       UpperCamelCase__(			)->Dict:
       with open(REPLACE_FILES['''init''']					,	'''r'''    ) as f:
              A__		   =		f.read()
       A__		   =		REPLACE_PATTERNS['''init'''][0].search(UpperCamelCase__    ).groups()[0]
       return packaging.version.parse(UpperCamelCase__    )


def       UpperCamelCase__(			UpperCamelCase__     :			List[str]=False    )->List[Any]:
       A__		   =		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__		   =		default_version.base_version
       elif patch:
              A__		   =		f"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
       else:
              A__		   =		f"{default_version.major}.{default_version.minor + 1}.0"

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

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


def       UpperCamelCase__(			)->List[str]:
       A__		   =		get_version()
       A__		   =		f"{current_version.major}.{current_version.minor + 1}.0.dev0"
       A__		   =		current_version.base_version

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

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


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


if __name__ == "__main__":
       a__: 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.')
       a__: 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()












import argparse

import torch

from transformers import RemBertConfig, RemBertModel, load_tf_weights_in_rembert
from transformers.utils import logging


logging.set_verbosity_info()


def       UpperCamelCase__(			UpperCamelCase__     :			Any					,	UpperCamelCase__     :			int					,	UpperCamelCase__     :			List[Any]    )->Optional[int]:
       # Initialise PyTorch model
       A__		   =		RemBertConfig.from_json_file(UpperCamelCase__    )
       print('''Building PyTorch model from configuration: {}'''.format(str(UpperCamelCase__    )    )    )
       A__		   =		RemBertModel(UpperCamelCase__    )

       # Load weights from tf checkpoint
       load_tf_weights_in_rembert(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__    )

       # Save pytorch-model
       print('''Save PyTorch model to {}'''.format(UpperCamelCase__    )    )
       torch.save(model.state_dict()					,	UpperCamelCase__    )


if __name__ == "__main__":
       a__: List[Any]							   =						argparse.ArgumentParser()
       # Required parameters
       parser.add_argument(
           '--tf_checkpoint_path', default=None, type=str, required=True, help='Path to the TensorFlow checkpoint path.'
       )
       parser.add_argument(
           '--rembert_config_file',
           default=None,
           type=str,
           required=True,
           help=(
               'The config json file corresponding to the pre-trained RemBERT model. \n'
               'This specifies the model architecture.'
           ),
       )
       parser.add_argument(
           '--pytorch_dump_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
       )
       a__: Union[str, Any]							   =						parser.parse_args()
       convert_rembert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.rembert_config_file, args.pytorch_dump_path)





