





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


__A       : List[str]						    = logging.get_logger(__name__)  # pylint: disable=invalid-name


__A       : Optional[Any]						    = "lfs-multipart-upload"







class     lowerCamelCase(	SCREAMING_SNAKE_CASE__  ):
     '''simple docstring'''


     @staticmethod
     def 					lowerCAmelCase__		(						snake_case_       ):
         _A    =       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 snake_case_       : LfsEnableCommand(a_       )       )

         _A    =       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 snake_case_       : LfsUploadCommand(a_       )       )







class     lowerCamelCase:
     '''simple docstring'''


     def __init__(						self							,    snake_case_       ):
         _A    =       args




     def 					lowerCAmelCase__		(						self       ):
         warnings.warn(
             'Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead.'       )
         _A    =       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 							__lowerCAmelCase(					_SCREAMING_SNAKE_CASE							)       ->   Union[str, Any]:




    """simple docstring"""




    _A    =       json.dumps(_UpperCamelCase							) + '\n'
    sys.stdout.write(_UpperCamelCase							)
    sys.stdout.flush()





def 							__lowerCAmelCase(					)       ->   Optional[Dict]:




    """simple docstring"""




    _A    =       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							,    snake_case_							,    snake_case_							,    snake_case_       ):
         _A    =       filepath
         _A    =       seek_from
         _A    =       read_limit
         _A    =       0




     def __enter__(						self       ):
         _A    =       open(self.filepath							,    'rb'       )
         self.f.seek(self.seek_from       )
         return self




     def __len__(						self       ):
         _A    =       os.fstat(self.f.fileno()       ).st_size
         return min(self.read_limit							,    total_length - self.seek_from       )




     def 					lowerCAmelCase__		(						self							,    snake_case_=-1       ):



         if self.n_seen >= self.read_limit:
             return b""
         _A    =       self.read_limit - self.n_seen
         _A    =       self.f.read(remaining_amount if n < 0 else min(a_							,    a_       )       )
         self.n_seen += len(a_       )
         return data




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




     def __exit__(						self							,    *snake_case_       ):
         self.f.close()







class     lowerCamelCase:
     '''simple docstring'''


     def __init__(						self							,    snake_case_       ):
         _A    =       args




     def 					lowerCAmelCase__		(						self       ):
         _A    =       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:
             _A    =       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       )

             _A    =       msg['oid']
             _A    =       msg['path']
             _A    =       msg['action']['href']
             _A    =       msg['action']['header']
             _A    =       int(header.pop('chunk_size'       )       )
             _A    =       list(header.values()       )

             _A    =       []
             for i, presigned_url in enumerate(a_       ):
                 with FileSlice(a_							,    seek_from=i * chunk_size							,    read_limit=a_       ) as data:
                     _A    =       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.

             _A    =       requests.post(
                 a_							,    json={
                     'oid': oid,
                     'parts': parts,
                 }							,    )
             r.raise_for_status()

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












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


__A       : Dict						    = {"configuration_hubert": ["HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "HubertConfig"]}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A       : List[str]						    = [
     "HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "HubertForCTC",
     "HubertForSequenceClassification",
     "HubertModel",
     "HubertPreTrainedModel",
 ]


try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A       : Tuple						    = [
     "TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "TFHubertForCTC",
     "TFHubertModel",
     "TFHubertPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_hubert import (
      HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
      HubertForCTC,
      HubertForSequenceClassification,
      HubertModel,
      HubertPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_hubert import (
      TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFHubertForCTC,
      TFHubertModel,
      TFHubertPreTrainedModel,
  )


else:
 import sys

 __A       : Dict						    = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





