






"""simple docstring"""


import posixpath
from pathlib import Path
from unittest.mock import patch

import pytest
from fsspec.implementations.local import AbstractFileSystem, LocalFileSystem, stringify_path
from fsspec.registry import _registry as _fsspec_registry


class    snake_case						(				a__		):


   '''simple docstring'''

   A_		:      List[Any]							=					'mock'


   def __init__(      self					:	Optional[int],			*_lowerCamelCase					:	List[Any],			_lowerCamelCase					:	int,			**_lowerCamelCase					:	List[str]    ):

     '''simple docstring'''
     super().__init__()
     __A		     =					LocalFileSystem(*__UpperCAmelCase,			**__UpperCAmelCase    )
     __A		     =					Path(__UpperCAmelCase    ).resolve().as_posix() + '''/'''


   def 							_SCREAMING_SNAKE_CASE							(      self					:	List[str],			_lowerCamelCase					:	Any,			*_lowerCamelCase					:	Dict,			**_lowerCamelCase					:	str    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     return self._fs.mkdir(__UpperCAmelCase,			*__UpperCAmelCase,			**__UpperCAmelCase    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Union[str, Any],			_lowerCamelCase					:	int,			*_lowerCamelCase					:	Union[str, Any],			**_lowerCamelCase					:	Optional[int]    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     return self._fs.makedirs(__UpperCAmelCase,			*__UpperCAmelCase,			**__UpperCAmelCase    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	str,			_lowerCamelCase					:	List[Any]    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     return self._fs.rmdir(__UpperCAmelCase    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Optional[int],			_lowerCamelCase					:	Optional[int],			_lowerCamelCase					:	Dict=True,			*_lowerCamelCase					:	List[str],			**_lowerCamelCase					:	List[str]    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     __A		     =					self._fs.ls(__UpperCAmelCase,			detail=__UpperCAmelCase,			*__UpperCAmelCase,			**__UpperCAmelCase    )
     if detail:
       return [{**info, "name": info["name"][len(self.local_root_dir    ) :]} for info in out]
     else:
       return [name[len(self.local_root_dir    ) :] for name in out]


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Tuple,			_lowerCamelCase					:	Union[str, Any],			*_lowerCamelCase					:	Optional[Any],			**_lowerCamelCase					:	Optional[int]    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     __A		     =					dict(self._fs.info(__UpperCAmelCase,			*__UpperCAmelCase,			**__UpperCAmelCase    )    )
     __A		     =					out['''name'''][len(self.local_root_dir    ) :]
     return out


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Optional[int],			_lowerCamelCase					:	Optional[Any],			_lowerCamelCase					:	str,			*_lowerCamelCase					:	List[Any],			**_lowerCamelCase					:	str    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     return self._fs.cp_file(__UpperCAmelCase,			__UpperCAmelCase,			*__UpperCAmelCase,			**__UpperCAmelCase    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	int,			_lowerCamelCase					:	int,			*_lowerCamelCase					:	Dict,			**_lowerCamelCase					:	Optional[Any]    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     return self._fs.rm_file(__UpperCAmelCase,			*__UpperCAmelCase,			**__UpperCAmelCase    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	List[Any],			_lowerCamelCase					:	str,			*_lowerCamelCase					:	str,			**_lowerCamelCase					:	Union[str, Any]    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     return self._fs.rm(__UpperCAmelCase,			*__UpperCAmelCase,			**__UpperCAmelCase    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	str,			_lowerCamelCase					:	List[Any],			*_lowerCamelCase					:	int,			**_lowerCamelCase					:	Optional[Any]    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     return self._fs._open(__UpperCAmelCase,			*__UpperCAmelCase,			**__UpperCAmelCase    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Dict,			_lowerCamelCase					:	int    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     return self._fs.created(__UpperCAmelCase    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Dict,			_lowerCamelCase					:	Tuple    ):

     '''simple docstring'''
     __A		     =					posixpath.join(self.local_root_dir,			self._strip_protocol(__UpperCAmelCase    )    )
     return self._fs.modified(__UpperCAmelCase    )






   @classmethod
   def 							_SCREAMING_SNAKE_CASE							(      cls					:	str,			_lowerCamelCase					:	List[Any]    ):

     '''simple docstring'''
     __A		     =					stringify_path(__UpperCAmelCase    )
     if path.startswith('''mock://'''    ):
       __A		     =					path[7:]
     return path





class    snake_case						(				a__		):


   '''simple docstring'''

   A_		:      Union[str, Any]							=					'tmp'
   A_		:      Optional[int]							=					None


   def __init__(      self					:	Union[str, Any],			*_lowerCamelCase					:	Dict,			**_lowerCamelCase					:	Union[str, Any]    ):

     '''simple docstring'''
     assert self.tmp_dir is not None, "TmpDirFileSystem.tmp_dir is not set"
     super().__init__(*__UpperCAmelCase,			**__UpperCAmelCase,			local_root_dir=self.tmp_dir,			auto_mkdir=__UpperCAmelCase    )






   @classmethod
   def 							_SCREAMING_SNAKE_CASE							(      cls					:	Any,			_lowerCamelCase					:	Optional[int]    ):

     '''simple docstring'''
     __A		     =					stringify_path(__UpperCAmelCase    )
     if path.startswith('''tmp://'''    ):
       __A		     =					path[6:]
     return path





@pytest.fixture
def    lowerCAmelCase							(       ):




  """simple docstring"""







  __A		     =					MockFileSystem
  __A		     =					TmpDirFileSystem
  yield
  del _fsspec_registry["mock"]
  del _fsspec_registry["tmp"]



@pytest.fixture
def    lowerCAmelCase							(       __UpperCamelCase						,			__UpperCamelCase					):




  """simple docstring"""







  __A		     =					tmp_path_factory.mktemp('''mockfs'''					)
  return MockFileSystem(local_root_dir=_lowerCAmelCase						,			auto_mkdir=_lowerCAmelCase					)





@pytest.fixture
def    lowerCAmelCase							(       __UpperCamelCase						,			__UpperCamelCase					):




  """simple docstring"""







  __A		     =					tmp_path_factory.mktemp('''tmpfs'''					)
  with patch.object(_lowerCAmelCase						,			'''tmp_dir'''						,			_lowerCAmelCase					):
    yield TmpDirFileSystem()








"""simple docstring"""






import argparse

import torch

from transformers import RoFormerConfig, RoFormerForMaskedLM, load_tf_weights_in_roformer
from transformers.utils import logging


logging.set_verbosity_info()
def    A_ ( _lowerCAmelCase  :       Dict,  _lowerCAmelCase  :       Tuple,  _lowerCAmelCase  :       Optional[Any]							):






     """simple docstring"""

     _a     						=					RoFormerConfig.from_json_file(_lowerCAmelCase							)
     print(f'Building PyTorch model from configuration: {config}'							)
     _a     						=					RoFormerForMaskedLM(_lowerCAmelCase							)

     # Load weights from tf checkpoint
     load_tf_weights_in_roformer(_lowerCAmelCase,  _lowerCAmelCase,  _lowerCAmelCase							)

     # Save pytorch-model
     print(f'Save PyTorch model to {pytorch_dump_path}'							)
     torch.save(model.state_dict(),  _lowerCAmelCase,  _use_new_zipfile_serialization=_lowerCAmelCase							)


if __name__ == "__main__":
   __snake_case												=							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(
       '''--bert_config_file''',
       default=None,
       type=str,
       required=True,
       help=(
           '''The config json file corresponding to the pre-trained BERT 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.'''
   )
   __snake_case												=							parser.parse_args()
   convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.bert_config_file, args.pytorch_dump_path)