





'''simple docstring'''




import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


lowercase__       : Union[str, Any]         =       (
    """https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py"""
)


lowercase__       : Optional[Any]         =       logging.get_logger(__name__)  # pylint: disable=invalid-name






def 			_lowerCAmelCase     (    )	->	int:
     __A		:					List[Any]						=			'https://pypi.org/pypi/diffusers/json'
     __A		:					int						=			json.loads(request.urlopen(SCREAMING_SNAKE_CASE__     ).read()     )['releases'].keys()
     return sorted(SCREAMING_SNAKE_CASE__					,				key=lambda __snake_case     : version.Version(SCREAMING_SNAKE_CASE__     )     )






def 			_lowerCAmelCase     (    )	->	Optional[Any]:
     # This function has already been executed if HF_MODULES_CACHE already is in the Python path.
     if HF_MODULES_CACHE in sys.path:
          return

     sys.path.append(SCREAMING_SNAKE_CASE__     )
     os.makedirs(SCREAMING_SNAKE_CASE__					,				exist_ok=SCREAMING_SNAKE_CASE__     )
     __A		:					int						=			Path(SCREAMING_SNAKE_CASE__     ) / '__init__.py'
     if not init_path.exists():
          init_path.touch()






def 			_lowerCAmelCase     (    __snake_case    :					Union[str, os.PathLike]     )	->	str:
     init_hf_modules()
     __A		:					str						=			Path(SCREAMING_SNAKE_CASE__     ) / name
     # If the parent module does not exist yet, recursively create it.
     if not dynamic_module_path.parent.exists():
          create_dynamic_module(dynamic_module_path.parent     )
     os.makedirs(SCREAMING_SNAKE_CASE__					,				exist_ok=SCREAMING_SNAKE_CASE__     )
     __A		:					Dict						=			dynamic_module_path / '__init__.py'
     if not init_path.exists():
          init_path.touch()






def 			_lowerCAmelCase     (    __snake_case    :					int     )	->	List[Any]:
     with open(SCREAMING_SNAKE_CASE__					,				'r'					,				encoding='utf-8'     ) as f:
          __A		:					Dict						=			f.read()

     # Imports of the form `import .xxx`
     __A		:					Optional[int]						=			re.findall('^\s*import\s+\.(\S+)\s*$'					,				SCREAMING_SNAKE_CASE__					,				flags=re.MULTILINE     )
     # Imports of the form `from .xxx import yyy`
     relative_imports += re.findall('^\s*from\s+\.(\S+)\s+import'					,				SCREAMING_SNAKE_CASE__					,				flags=re.MULTILINE     )
     # Unique-ify
     return list(set(SCREAMING_SNAKE_CASE__     )     )






def 			_lowerCAmelCase     (    __snake_case    :					Optional[int]     )	->	Dict:
     __A		:					Optional[int]						=			False
     __A		:					List[str]						=			[module_file]
     __A		:					Union[str, Any]						=			[]

     # Let's recurse through all relative imports
     while not no_change:
          __A		:					List[Any]						=			[]
          for f in files_to_check:
               new_imports.extend(get_relative_imports(SCREAMING_SNAKE_CASE__     )     )

          __A		:					Tuple						=			Path(SCREAMING_SNAKE_CASE__     ).parent
          __A		:					Optional[Any]						=			[str(module_path / m     ) for m in new_imports]
          __A		:					Optional[int]						=			[f for f in new_import_files if f not in all_relative_imports]
          __A		:					List[str]						=			[f'{f}.py' for f in new_import_files]

          __A		:					Optional[int]						=			len(SCREAMING_SNAKE_CASE__     ) == 0
          all_relative_imports.extend(SCREAMING_SNAKE_CASE__     )

     return all_relative_imports






def 			_lowerCAmelCase     (    __snake_case    :					Any     )	->	int:
     with open(SCREAMING_SNAKE_CASE__					,				'r'					,				encoding='utf-8'     ) as f:
          __A		:					List[str]						=			f.read()

     # Imports of the form `import xxx`
     __A		:					int						=			re.findall('^\s*import\s+(\S+)\s*$'					,				SCREAMING_SNAKE_CASE__					,				flags=re.MULTILINE     )
     # Imports of the form `from xxx import yyy`
     imports += re.findall('^\s*from\s+(\S+)\s+import'					,				SCREAMING_SNAKE_CASE__					,				flags=re.MULTILINE     )
     # Only keep the top-level module
     __A		:					List[str]						=			[imp.split('.'     )[0] for imp in imports if not imp.startswith('.'     )]

     # Unique-ify and test we got them all
     __A		:					List[Any]						=			list(set(SCREAMING_SNAKE_CASE__     )     )
     __A		:					int						=			[]
     for imp in imports:
          try:
               importlib.import_module(SCREAMING_SNAKE_CASE__     )
          except ImportError:
               missing_packages.append(SCREAMING_SNAKE_CASE__     )

     if len(SCREAMING_SNAKE_CASE__     ) > 0:
          raise ImportError(
              'This modeling file requires the following packages that were not found in your environment: '
              f'{", ".join(SCREAMING_SNAKE_CASE__     )}. Run `pip install {" ".join(SCREAMING_SNAKE_CASE__     )}`'     )

     return get_relative_imports(SCREAMING_SNAKE_CASE__     )






def 			_lowerCAmelCase     (    __snake_case    :					List[str]					,				__snake_case    :					Tuple     )	->	Optional[int]:
     __A		:					Union[str, Any]						=			module_path.replace(os.path.sep					,				'.'     )
     __A		:					Any						=			importlib.import_module(SCREAMING_SNAKE_CASE__     )

     if class_name is None:
          return find_pipeline_class(SCREAMING_SNAKE_CASE__     )
     return getattr(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__     )






def 			_lowerCAmelCase     (    __snake_case    :					Optional[Any]     )	->	Dict:
     from ..pipelines import DiffusionPipeline

     __A		:					Optional[int]						=			dict(inspect.getmembers(SCREAMING_SNAKE_CASE__					,				inspect.isclass     )     )

     __A		:					Any						=			None
     for cls_name, cls in cls_members.items():
          if (
              cls_name != DiffusionPipeline.__name__
              and issubclass(cls					,				SCREAMING_SNAKE_CASE__     )
              and cls.__module__.split('.'     )[0] != "diffusers"
          ):
               if pipeline_class is not None:
                    raise ValueError(
                        f'Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:'
                        f' {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in'
                        f' {loaded_module}.'     )
               __A		:					Any						=			cls

     return pipeline_class






def 			_lowerCAmelCase     (    __snake_case    :					Union[str, os.PathLike]					,				__snake_case    :					str					,				__snake_case    :					Optional[Union[str, os.PathLike]] = None					,				__snake_case    :					bool = False					,				__snake_case    :					bool = False					,				__snake_case    :					Optional[Dict[str, str]] = None					,				__snake_case    :					Optional[Union[bool, str]] = None					,				__snake_case    :					Optional[str] = None					,				__snake_case    :					bool = False					,				)	->	List[Any]:
     __A		:					int						=			str(SCREAMING_SNAKE_CASE__     )

     __A		:					str						=			os.path.join(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__     )

     if os.path.isfile(SCREAMING_SNAKE_CASE__     ):
          __A		:					Optional[Any]						=			module_file_or_url
          __A		:					Any						=			'local'
     elif pretrained_model_name_or_path.count('/'     ) == 0:
          __A		:					Dict						=			get_diffusers_versions()
          # cut ".dev0"
          __A		:					Any						=			'v' + '.'.join(__version__.split('.'     )[:3]     )

          # retrieve github version that matches
          if revision is None:
               __A		:					List[str]						=			latest_version if latest_version[1:] in available_versions else 'main'
               logger.info(f'Defaulting to latest_version: {revision}.'     )
          elif revision in available_versions:
               __A		:					Tuple						=			f'v{revision}'
          elif revision == "main":
               __A		:					str						=			revision
          else:
               raise ValueError(
                   f'`custom_revision`: {revision} does not exist. Please make sure to choose one of'
                   f' {", ".join(available_versions + ["main"]     )}.'     )

          # community pipeline on GitHub
          __A		:					List[str]						=			COMMUNITY_PIPELINES_URL.format(revision=SCREAMING_SNAKE_CASE__					,				pipeline=SCREAMING_SNAKE_CASE__     )
          try:
               __A		:					List[str]						=			cached_download(
                   SCREAMING_SNAKE_CASE__					,				cache_dir=SCREAMING_SNAKE_CASE__					,				force_download=SCREAMING_SNAKE_CASE__					,				proxies=SCREAMING_SNAKE_CASE__					,				resume_download=SCREAMING_SNAKE_CASE__					,				local_files_only=SCREAMING_SNAKE_CASE__					,				use_auth_token=SCREAMING_SNAKE_CASE__					,				)
               __A		:					Optional[Any]						=			'git'
               __A		:					Dict						=			pretrained_model_name_or_path + '.py'
          except EnvironmentError:
               logger.error(f'Could not locate the {module_file} inside {pretrained_model_name_or_path}.'     )
               raise
     else:
          try:
               # Load from URL or cache if already cached
               __A		:					Optional[int]						=			hf_hub_download(
                   SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__					,				cache_dir=SCREAMING_SNAKE_CASE__					,				force_download=SCREAMING_SNAKE_CASE__					,				proxies=SCREAMING_SNAKE_CASE__					,				resume_download=SCREAMING_SNAKE_CASE__					,				local_files_only=SCREAMING_SNAKE_CASE__					,				use_auth_token=SCREAMING_SNAKE_CASE__					,				)
               __A		:					List[Any]						=			os.path.join('local'					,				'--'.join(pretrained_model_name_or_path.split('/'     )     )     )
          except EnvironmentError:
               logger.error(f'Could not locate the {module_file} inside {pretrained_model_name_or_path}.'     )
               raise

    # Check we have all the requirements in our environment
     __A		:					Optional[int]						=			check_imports(SCREAMING_SNAKE_CASE__     )

     # Now we move the module inside our cached dynamic modules.
     __A		:					List[Any]						=			DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
     create_dynamic_module(SCREAMING_SNAKE_CASE__     )
     __A		:					List[Any]						=			Path(SCREAMING_SNAKE_CASE__     ) / full_submodule
     if submodule == "local" or submodule == "git":
          # We always copy local files (we could hash the file to see if there was a change, and give them the name of
          # that hash, to only copy when there is a modification but it seems overkill for now).
          # The only reason we do the copy is to avoid putting too many folders in sys.path.
          shutil.copy(SCREAMING_SNAKE_CASE__					,				submodule_path / module_file     )
          for module_needed in modules_needed:
               __A		:					List[Any]						=			f'{module_needed}.py'
               shutil.copy(os.path.join(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__     )					,				submodule_path / module_needed     )
     else:
          # Get the commit hash
          # TODO: we will get this info in the etag soon, so retrieve it from there and not here.
          if isinstance(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__     ):
               __A		:					Dict						=			use_auth_token
          elif use_auth_token is True:
               __A		:					Tuple						=			HfFolder.get_token()
          else:
               __A		:					str						=			None

          __A		:					List[Any]						=			model_info(SCREAMING_SNAKE_CASE__					,				revision=SCREAMING_SNAKE_CASE__					,				token=SCREAMING_SNAKE_CASE__     ).sha

          # The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
          # benefit of versioning.
          __A		:					str						=			submodule_path / commit_hash
          __A		:					int						=			full_submodule + os.path.sep + commit_hash
          create_dynamic_module(SCREAMING_SNAKE_CASE__     )

          if not (submodule_path / module_file).exists():
               shutil.copy(SCREAMING_SNAKE_CASE__					,				submodule_path / module_file     )
          # Make sure we also have every file with relative
          for module_needed in modules_needed:
               if not (submodule_path / module_needed).exists():
                    get_cached_module_file(
                        SCREAMING_SNAKE_CASE__					,				f'{module_needed}.py'					,				cache_dir=SCREAMING_SNAKE_CASE__					,				force_download=SCREAMING_SNAKE_CASE__					,				resume_download=SCREAMING_SNAKE_CASE__					,				proxies=SCREAMING_SNAKE_CASE__					,				use_auth_token=SCREAMING_SNAKE_CASE__					,				revision=SCREAMING_SNAKE_CASE__					,				local_files_only=SCREAMING_SNAKE_CASE__					,				)
     return os.path.join(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__     )







def 			_lowerCAmelCase     (    __snake_case    :					Union[str, os.PathLike]					,				__snake_case    :					str					,				__snake_case    :					Optional[str] = None					,				__snake_case    :					Optional[Union[str, os.PathLike]] = None					,				__snake_case    :					bool = False					,				__snake_case    :					bool = False					,				__snake_case    :					Optional[Dict[str, str]] = None					,				__snake_case    :					Optional[Union[bool, str]] = None					,				__snake_case    :					Optional[str] = None					,				__snake_case    :					bool = False					,				**__snake_case    :					Tuple					,				)	->	Union[str, Any]:
     __A		:					List[str]						=			get_cached_module_file(
         SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__					,				cache_dir=SCREAMING_SNAKE_CASE__					,				force_download=SCREAMING_SNAKE_CASE__					,				resume_download=SCREAMING_SNAKE_CASE__					,				proxies=SCREAMING_SNAKE_CASE__					,				use_auth_token=SCREAMING_SNAKE_CASE__					,				revision=SCREAMING_SNAKE_CASE__					,				local_files_only=SCREAMING_SNAKE_CASE__					,				)
     return get_class_in_module(SCREAMING_SNAKE_CASE__					,				final_module.replace('.py'					,				''     )     )







'''simple docstring'''



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						(					SCREAMING_SNAKE_CASE__:						Optional[Any],       SCREAMING_SNAKE_CASE__:						Tuple,       SCREAMING_SNAKE_CASE__:						Dict     )	->      List[Any]:

   """simple docstring"""
   # Initialise PyTorch model
   __a					  =     RemBertConfig.from_json_file(SCREAMING_SNAKE_CASE__     )
   print('Building PyTorch model from configuration: {}'.format(str(SCREAMING_SNAKE_CASE__     )     )     )
   __a					  =     RemBertModel(SCREAMING_SNAKE_CASE__     )

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

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


if __name__ == "__main__":
 __UpperCamelCase   :							List[str]         =   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."""
 )
 __UpperCamelCase   :							List[str]         =   parser.parse_args()
 convert_rembert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.rembert_config_file, args.pytorch_dump_path)