code: 
  
  
  import json
  import os
  import subprocess
  import sys
  import warnings
  from argparse import ArgumentParser
  from contextlib import AbstractContextManager
  from typing import Dict, List, Optional
  
  import requests
  
  from ..utils import logging
  from . import BaseTransformersCLICommand
  
  
  _SCREAMING_SNAKE_CASE    :				List[str]       =					logging.get_logger(__name__)  # pylint: disable=invalid-name
  
  
  _SCREAMING_SNAKE_CASE    :				Tuple       =					"lfs-multipart-upload"
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      @staticmethod
      def 	a_    ( __snake_case					):
           snake_case					=       parser.add_parser(
               '''lfs-enable-largefiles'''    ,      help=(
                   '''Deprecated: use `huggingface-cli` instead. Configure your repository to enable upload of files > 5GB.'''
               )    ,      )
           enable_parser.add_argument('''path'''    ,      type=__snake_case    ,      help='''Local path to repository you want to configure.'''					)
           enable_parser.set_defaults(func=lambda __snake_case					: LfsEnableCommand(__snake_case					)					)
  
           snake_case					=       parser.add_parser(
               __snake_case    ,      help=(
                   '''Deprecated: use `huggingface-cli` instead. '''
                   '''Command will get called by git-lfs, do not call it directly.'''
               )    ,      )
           upload_parser.set_defaults(func=lambda __snake_case					: LfsUploadCommand(__snake_case					)					)
  
  
  
  
  
  
  class 						A__      :
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      __snake_case					):
           snake_case					=       args
  
  
  
  
      def 	a_    ( self					):
           warnings.warn(
               '''Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead.'''					)
           snake_case					=       os.path.abspath(self.args.path					)
           if not os.path.isdir(__snake_case					):
                print('''This does not look like a valid git repo.'''					)
                exit(1					)
           subprocess.run(
               '''git config lfs.customtransfer.multipart.path transformers-cli'''.split()    ,      check=__snake_case    ,      cwd=__snake_case					)
           subprocess.run(
               F'''git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}'''.split()    ,      check=__snake_case    ,      cwd=__snake_case    ,      )
           print('''Local repo set up for largefiles'''					)
  
  
  
  
  
  
  def     UpperCAmelCase__		(UpperCamelCase_       ):
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       json.dumps(UpperCamelCase_       ) + '''\n'''
       sys.stdout.write(UpperCamelCase_       )
       sys.stdout.flush()
  def     UpperCAmelCase__		():
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       json.loads(sys.stdin.readline().strip()       )
  
       if "terminate" in (msg.get('''type'''       ), msg.get('''event'''       )):
            # terminate message received
            return None
  
       if msg.get('''event'''       ) not in ("download", "upload"):
            logger.critical('''Received unexpected message'''       )
            sys.exit(1       )
  
       return msg
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      __snake_case    ,      __snake_case    ,      __snake_case					):
           snake_case					=       filepath
           snake_case					=       seek_from
           snake_case					=       read_limit
           snake_case					=       0
      def __enter__( self					):
           snake_case					=       open(self.filepath    ,      '''rb'''					)
           self.f.seek(self.seek_from					)
           return self
      def __len__( self					):
           snake_case					=       os.fstat(self.f.fileno()					).st_size
           return min(self.read_limit    ,      total_length - self.seek_from					)
      def 	a_    ( self    ,      __snake_case=-1					):
           if self.n_seen >= self.read_limit:
                return b""
           snake_case					=       self.read_limit - self.n_seen
           snake_case					=       self.f.read(remaining_amount if n < 0 else min(__snake_case    ,      __snake_case					)					)
           self.n_seen += len(__snake_case					)
           return data
      def __iter__( self					):
           yield self.read(n=4 * 1_0_2_4 * 1_0_2_4					)
  
  
  
  
      def __exit__( self    ,      *__snake_case					):
           self.f.close()
  
  
  
  
  
  
  class 						A__      :
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      __snake_case					):
           snake_case					=       args
  
  
  
  
      def 	a_    ( self					):
           # Immediately after invoking a custom transfer process, git-lfs
           # sends initiation data to the process over stdin.
           # This tells the process useful information about the configuration.
           snake_case					=       json.loads(sys.stdin.readline().strip()					)
           if not (init_msg.get('''event'''					) == "init" and init_msg.get('''operation'''					) == "upload"):
                write_msg({'''error''': {'''code''': 3_2, '''message''': '''Wrong lfs init operation'''}}					)
                sys.exit(1					)
  
           # The transfer process should use the information it needs from the
           # initiation structure, and also perform any one-off setup tasks it
           # needs to do. It should then respond on stdout with a simple empty
           # confirmation structure, as follows:
           write_msg({}					)
  
           # After the initiation exchange, git-lfs will send any number of
           # transfer requests to the stdin of the transfer process, in a serial sequence.
           while True:
                snake_case					=       read_msg()
                if msg is None:
                     # When all transfers have been processed, git-lfs will send
                     # a terminate event to the stdin of the transfer process.
                     # On receiving this message the transfer process should
                     # clean up and terminate. No response is expected.
                     sys.exit(0					)
  
                snake_case					=       msg['''oid''']
                snake_case					=       msg['''path''']
                snake_case					=       msg['''action''']['''href''']
                snake_case					=       msg['''action''']['''header''']
                snake_case					=       int(header.pop('''chunk_size'''					)					)
                snake_case					=       list(header.values()					)
  
                snake_case					=       []
                for i, presigned_url in enumerate(__snake_case					):
                     with FileSlice(__snake_case    ,      seek_from=i * chunk_size    ,      read_limit=__snake_case					) as data:
                          snake_case					=       requests.put(__snake_case    ,      data=__snake_case					)
                          r.raise_for_status()
                          parts.append(
                              {
                                  '''etag''': r.headers.get('''etag'''					),
                                  '''partNumber''': i + 1,
                              }					)
                          # In order to support progress reporting while data is uploading / downloading,
                          # the transfer process should post messages to stdout
                          write_msg(
                              {
                                  '''event''': '''progress''',
                                  '''oid''': oid,
                                  '''bytesSoFar''': (i + 1) * chunk_size,
                                  '''bytesSinceLast''': chunk_size,
                              }					)
                          # Not precise but that's ok.
  
                snake_case					=       requests.post(
                    __snake_case    ,      json={
                        '''oid''': oid,
                        '''parts''': parts,
                    }    ,      )
                r.raise_for_status()
  
                write_msg({'''event''': '''complete''', '''oid''': oid}					)
  
  
  
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  _SCREAMING_SNAKE_CASE    :				Optional[int]       =					{
      "configuration_layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMOnnxConfig"],
      "tokenization_layoutlm": ["LayoutLMTokenizer"],
  }
  
  try:
   if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   _SCREAMING_SNAKE_CASE    :				str       =					["LayoutLMTokenizerFast"]
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   _SCREAMING_SNAKE_CASE    :				List[str]       =					[
       "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
       "LayoutLMForMaskedLM",
       "LayoutLMForSequenceClassification",
       "LayoutLMForTokenClassification",
       "LayoutLMForQuestionAnswering",
       "LayoutLMModel",
       "LayoutLMPreTrainedModel",
   ]
  
  try:
   if not is_tf_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   _SCREAMING_SNAKE_CASE    :				Optional[int]       =					[
       "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
       "TFLayoutLMForMaskedLM",
       "TFLayoutLMForSequenceClassification",
       "TFLayoutLMForTokenClassification",
       "TFLayoutLMForQuestionAnswering",
       "TFLayoutLMMainLayer",
       "TFLayoutLMModel",
       "TFLayoutLMPreTrainedModel",
   ]
  
  
  if TYPE_CHECKING:
   from .configuration_layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMOnnxConfig
   from .tokenization_layoutlm import LayoutLMTokenizer
  
   try:
    if not is_tokenizers_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .tokenization_layoutlm_fast import LayoutLMTokenizerFast
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_layoutlm import (
        LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        LayoutLMForMaskedLM,
        LayoutLMForQuestionAnswering,
        LayoutLMForSequenceClassification,
        LayoutLMForTokenClassification,
        LayoutLMModel,
        LayoutLMPreTrainedModel,
    )
   try:
    if not is_tf_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_tf_layoutlm import (
        TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFLayoutLMForMaskedLM,
        TFLayoutLMForQuestionAnswering,
        TFLayoutLMForSequenceClassification,
        TFLayoutLMForTokenClassification,
        TFLayoutLMMainLayer,
        TFLayoutLMModel,
        TFLayoutLMPreTrainedModel,
    )
  
  else:
   import sys
  
   _SCREAMING_SNAKE_CASE    :				Optional[int]       =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  
  