



'''simple docstring'''





from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
 from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore






class       lowerCamelCase_					(       a_  ):
  """simple docstring"""




  a_							      =c_float




  @property
  def 		_lowercase  (				self   :			Tuple     )      ->      int:
    return sizeof(self.value     )




def  a_  (							_lowerCAmelCase ,_lowerCAmelCase ,_lowerCAmelCase = 0 )   ->   int:
  # < 0 is possible if using a dynamic axis
  if dimension <= 0:
    __lowerCamelCase : List[str]					 =				fixed_dimension

  dimension -= num_token_to_add
  return dimension

def  a_  (							_lowerCAmelCase ,_lowerCAmelCase )   ->   Any:
  return num_parameters * dtype.size


def  a_  (							_lowerCAmelCase )   ->   Optional[int]:
  from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

  try:
    return AutoProcessor.from_pretrained(lowercase_ )
  except (ValueError, OSError, KeyError):
    __lowerCamelCase : Dict					 =				None, None
    try:
      __lowerCamelCase : List[Any]					 =				AutoTokenizer.from_pretrained(lowercase_ )
    except (OSError, KeyError):
      pass
    try:
      __lowerCamelCase : List[str]					 =				AutoFeatureExtractor.from_pretrained(lowercase_ )
    except (OSError, KeyError):
      pass

    if tokenizer is not None and feature_extractor is not None:
      raise ValueError(
          F'Couldn\'t auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor.' )
    elif tokenizer is None and feature_extractor is None:
      return None
    elif tokenizer is not None:
      return tokenizer
    else:
      return feature_extractor











'''simple docstring'''





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


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


_UpperCamelCase							       =		'lfs-multipart-upload'






class       lowerCamelCase_					(       SCREAMING_SNAKE_CASE_  ):
  """simple docstring"""




  @staticmethod
  def 		_lowercase  (				_a   :			ArgumentParser     )      ->      List[Any]:
    __lowerCamelCase : Union[str, Any]					 =				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=_a    ,			help='Local path to repository you want to configure.'     )
    enable_parser.set_defaults(func=lambda _a     : LfsEnableCommand(_a     )     )

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






class       lowerCamelCase_					:
  """simple docstring"""




  def __init__(				self   :			Union[str, Any]    ,			_a   :			Any     )      ->      Tuple:
    __lowerCamelCase : int					 =				args




  def 		_lowercase  (				self   :			Union[str, Any]     )      ->      List[str]:
    warnings.warn(
        'Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead.'     )
    __lowerCamelCase : str					 =				os.path.abspath(self.args.path     )
    if not os.path.isdir(_a     ):
      print('This does not look like a valid git repo.'     )
      exit(1     )
    subprocess.run(
        'git config lfs.customtransfer.multipart.path transformers-cli'.split()    ,			check=_a    ,			cwd=_a     )
    subprocess.run(
        f'git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}'.split()    ,			check=_a    ,			cwd=_a    ,			)
    print('Local repo set up for largefiles'     )




def  a_  (							_lowerCAmelCase )   ->   List[str]:
  __lowerCamelCase : int					 =				json.dumps(_lowerCAmelCase ) + '\n'
  sys.stdout.write(_lowerCAmelCase )
  sys.stdout.flush()

def  a_  (							)   ->   Optional[Dict]:
  __lowerCamelCase : str					 =				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_					(       SCREAMING_SNAKE_CASE_  ):
  """simple docstring"""




  def __init__(				self   :			int    ,			_a   :			str    ,			_a   :			int    ,			_a   :			int     )      ->      Optional[Any]:
    __lowerCamelCase : Any					 =				filepath
    __lowerCamelCase : Dict					 =				seek_from
    __lowerCamelCase : Dict					 =				read_limit
    __lowerCamelCase : Tuple					 =				0




  def __enter__(				self   :			int     )      ->      int:
    __lowerCamelCase : Tuple					 =				open(self.filepath    ,			'rb'     )
    self.f.seek(self.seek_from     )
    return self




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




  def 		_lowercase  (				self   :			Tuple    ,			_a   :			Optional[int]=-1     )      ->      Optional[int]:
    if self.n_seen >= self.read_limit:
      return b""
    __lowerCamelCase : Union[str, Any]					 =				self.read_limit - self.n_seen
    __lowerCamelCase : Tuple					 =				self.f.read(remaining_amount if n < 0 else min(_a    ,			_a     )     )
    self.n_seen += len(_a     )
    return data




  def __iter__(				self   :			int     )      ->      List[str]:
    yield self.read(n=4 * 1024 * 1024     )




  def __exit__(				self   :			List[str]    ,			*_a   :			int     )      ->      Optional[Any]:
    self.f.close()






class       lowerCamelCase_					:
  """simple docstring"""




  def __init__(				self   :			Optional[Any]    ,			_a   :			List[Any]     )      ->      Union[str, Any]:
    __lowerCamelCase : int					 =				args




  def 		_lowercase  (				self   :			Union[str, Any]     )      ->      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.
    __lowerCamelCase : List[str]					 =				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:
      __lowerCamelCase : Any					 =				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     )

      __lowerCamelCase : Tuple					 =				msg['oid']
      __lowerCamelCase : Dict					 =				msg['path']
      __lowerCamelCase : Any					 =				msg['action']['href']
      __lowerCamelCase : List[Any]					 =				msg['action']['header']
      __lowerCamelCase : List[str]					 =				int(header.pop('chunk_size'     )     )
      __lowerCamelCase : List[str]					 =				list(header.values()     )

      __lowerCamelCase : Any					 =				[]
      for i, presigned_url in enumerate(_a     ):
        with FileSlice(_a    ,			seek_from=i * chunk_size    ,			read_limit=_a     ) as data:
          __lowerCamelCase : Union[str, Any]					 =				requests.put(_a    ,			data=_a     )
          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.

      __lowerCamelCase : Tuple					 =				requests.post(
          _a    ,			json={
              'oid': oid,
              'parts': parts,
          }    ,			)
      r.raise_for_status()

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






