

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


lowerCamelCase_    =					logging.get_logger(__name__)  # pylint: disable=invalid-name


lowerCamelCase_    =					'''lfs-multipart-upload'''







class  __lowerCamelCase				(	__snake_case	):







      @staticmethod
      def 	lowerCAmelCase_    (     lowerCamelCase   )						->       int:
        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=lowerCamelCase							,  help="""Local path to repository you want to configure."""   )
        enable_parser.set_defaults(func=lambda lowerCamelCase   : LfsEnableCommand(lowerCamelCase   )   )

        snake_case_       						=      parser.add_parser(
            lowerCamelCase							,  help=(
                """Deprecated: use `huggingface-cli` instead. """
                """Command will get called by git-lfs, do not call it directly."""
            )							,  )
        upload_parser.set_defaults(func=lambda lowerCamelCase   : LfsUploadCommand(lowerCamelCase   )   )







class  __lowerCamelCase				:







      def __init__(     self							,  lowerCamelCase   )						->       Dict:
        snake_case_       						=      args







      def 	lowerCAmelCase_    (     self   )						->       Optional[Any]:
        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(lowerCamelCase   ):
          print("""This does not look like a valid git repo."""   )
          exit(1   )
        subprocess.run(
            """git config lfs.customtransfer.multipart.path transformers-cli""".split()							,  check=lowerCamelCase							,  cwd=lowerCamelCase   )
        subprocess.run(
            f'''git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}'''.split()							,  check=lowerCamelCase							,  cwd=lowerCamelCase							,  )
        print("""Local repo set up for largefiles"""   )



def    UpperCamelCase(					lowercase_							)	->				List[Any]:





  '''simple docstring'''





  snake_case_       						=      json.dumps(lowercase_							) + """\n"""
  sys.stdout.write(lowercase_							)
  sys.stdout.flush()



def    UpperCamelCase(					)	->				Optional[Dict]:





  '''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  __lowerCamelCase				(	__snake_case	):







      def __init__(     self							,  lowerCamelCase							,  lowerCamelCase							,  lowerCamelCase   )						->       Optional[int]:
        snake_case_       						=      filepath
        snake_case_       						=      seek_from
        snake_case_       						=      read_limit
        snake_case_       						=      0







      def __enter__(     self   )						->       Tuple:
        snake_case_       						=      open(self.filepath							,  """rb"""   )
        self.f.seek(self.seek_from   )
        return self







      def __len__(     self   )						->       Optional[int]:
        snake_case_       						=      os.fstat(self.f.fileno()   ).st_size
        return min(self.read_limit							,  total_length - self.seek_from   )







      def 	lowerCAmelCase_    (     self							,  lowerCamelCase=-1   )						->       str:
        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(lowerCamelCase							,  lowerCamelCase   )   )
        self.n_seen += len(lowerCamelCase   )
        return data







      def __iter__(     self   )						->       Dict:
        yield self.read(n=4 * 1024 * 1024   )







      def __exit__(     self							,  *lowerCamelCase   )						->       Tuple:
        self.f.close()







class  __lowerCamelCase				:







      def __init__(     self							,  lowerCamelCase   )						->       Optional[Any]:
        snake_case_       						=      args







      def 	lowerCAmelCase_    (     self   )						->       Tuple:
        # 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""": 32, """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(lowerCamelCase   ):
            with FileSlice(lowerCamelCase							,  seek_from=i * chunk_size							,  read_limit=lowerCamelCase   ) as data:
              snake_case_       						=      requests.put(lowerCamelCase							,  data=lowerCamelCase   )
              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(
              lowerCamelCase							,  json={
                  """oid""": oid,
                  """parts""": parts,
              }							,  )
          r.raise_for_status()

          write_msg({"""event""": """complete""", """oid""": oid}   )





from typing import Optional, Union

from ...file_utils import TensorType
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, TruncationStrategy



class 			a     (   _A			):

     '''simple docstring'''





     lowerCAmelCase				:       Any   		=  'MarkupLMFeatureExtractor'
     lowerCAmelCase				:       Optional[Any]   		=  ('MarkupLMTokenizer', 'MarkupLMTokenizerFast')
     lowerCAmelCase				:       List[Any]   		=  True
     def __call__(	self   :			Dict					,    __snake_case   :			Tuple=None					,    __snake_case   :			List[Any]=None					,    __snake_case   :			Tuple=None					,    __snake_case   :			Tuple=None					,    __snake_case   :			Any=None					,    __snake_case   :			bool = True					,    __snake_case   :			Union[bool, str, PaddingStrategy] = False					,    __snake_case   :			Union[bool, str, TruncationStrategy] = None					,    __snake_case   :			Optional[int] = None					,    __snake_case   :			int = 0					,    __snake_case   :			Optional[int] = None					,    __snake_case   :			Optional[bool] = None					,    __snake_case   :			Optional[bool] = None					,    __snake_case   :			bool = False					,    __snake_case   :			bool = False					,    __snake_case   :			bool = False					,    __snake_case   :			bool = False					,    __snake_case   :			bool = True					,    __snake_case   :			Optional[Union[str, TensorType]] = None					,    **__snake_case   :			Any					,    ):
         # first, create nodes and xpaths
         if self.parse_html:
             if html_strings is None:
                 raise ValueError('''Make sure to pass HTML strings in case `parse_html` is set to `True`'''				)

             if nodes is not None or xpaths is not None or node_labels is not None:
                 raise ValueError(
                     '''Please don\'t pass nodes, xpaths nor node labels in case `parse_html` is set to `True`'''				)

             UpperCAmelCase_							 =     self.feature_extractor(__snake_case				)
             UpperCAmelCase_							 =     features['''nodes''']
             UpperCAmelCase_							 =     features['''xpaths''']
         else:
             if html_strings is not None:
                 raise ValueError('''You have passed HTML strings but `parse_html` is set to `False`.'''				)
             if nodes is None or xpaths is None:
                 raise ValueError('''Make sure to pass nodes and xpaths in case `parse_html` is set to `False`'''				)

        # # second, apply the tokenizer
         if questions is not None and self.parse_html:
             if isinstance(__snake_case					,    __snake_case				):
                 UpperCAmelCase_							 =     [questions]  # add batch dimension (as the feature extractor always adds a batch dimension)

         UpperCAmelCase_							 =     self.tokenizer(
             text=questions if questions is not None else nodes					,    text_pair=nodes if questions is not None else None					,    xpaths=__snake_case					,    node_labels=__snake_case					,    add_special_tokens=__snake_case					,    padding=__snake_case					,    truncation=__snake_case					,    max_length=__snake_case					,    stride=__snake_case					,    pad_to_multiple_of=__snake_case					,    return_token_type_ids=__snake_case					,    return_attention_mask=__snake_case					,    return_overflowing_tokens=__snake_case					,    return_special_tokens_mask=__snake_case					,    return_offsets_mapping=__snake_case					,    return_length=__snake_case					,    verbose=__snake_case					,    return_tensors=__snake_case					,    **__snake_case					,    )

         return encoded_inputs
     def   lowerCamelCase_   (	self   :			List[Any]					,    *__snake_case   :			Dict					,    **__snake_case   :			Optional[int]				):
         return self.tokenizer.batch_decode(*__snake_case					,    **__snake_case				)
     def   lowerCamelCase_   (	self   :			Optional[Any]					,    *__snake_case   :			Any					,    **__snake_case   :			Dict				):
         return self.tokenizer.decode(*__snake_case					,    **__snake_case				)




     @property
     def   lowerCamelCase_   (	self   :			Dict				):
         UpperCAmelCase_							 =     self.tokenizer.model_input_names
         return tokenizer_input_names





