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
  
  
  A_    :					Dict             =logging.get_logger(__name__)  # pylint: disable=invalid-name
  
  
  A_    :					int             ="""lfs-multipart-upload"""
  
  
  
  
  
  class        lowercase_				( UpperCamelCase__):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							@staticmethod
  							def 						lowercase__     (   _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													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=_UpperCAmelCase			,    help="""Local path to repository you want to configure."""		)
  													enable_parser.set_defaults(func=lambda _UpperCAmelCase		: LfsEnableCommand(_UpperCAmelCase		)		)
  
  													a_					=		parser.add_parser(
  													    _UpperCAmelCase			,    help=(
  													        """Deprecated: use `huggingface-cli` instead. """
  													        """Command will get called by git-lfs, do not call it directly."""
  													    )			,    )
  													upload_parser.set_defaults(func=lambda _UpperCAmelCase		: LfsUploadCommand(_UpperCAmelCase		)		)
  
  
  
  
  
  class        lowercase_				:
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							def __init__(   self			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		args
  
  
  
  
  
  
  							def 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													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(_UpperCAmelCase		):
  																			print("""This does not look like a valid git repo."""		)
  																			exit(1		)
  													subprocess.run(
  													    """git config lfs.customtransfer.multipart.path transformers-cli""".split()			,    check=_UpperCAmelCase			,    cwd=_UpperCAmelCase		)
  													subprocess.run(
  													    f"git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}".split()			,    check=_UpperCAmelCase			,    cwd=_UpperCAmelCase			,    )
  													print("""Local repo set up for largefiles"""		)
  
  
  
  
  def   lowerCamelCase_       (					UpperCAmelCase__      ):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						a_					=		json.dumps(UpperCAmelCase__      ) + """\n"""
  						sys.stdout.write(UpperCAmelCase__      )
  						sys.stdout.flush()
  
  
  
  
  def   lowerCamelCase_       (					):
  
  
  
  						"""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        lowercase_				( UpperCamelCase__):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							def __init__(   self			,    _UpperCAmelCase			,    _UpperCAmelCase			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		filepath
  													a_					=		seek_from
  													a_					=		read_limit
  													a_					=		0
  
  
  							def __enter__(   self		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		open(self.filepath			,    """rb"""		)
  													self.f.seek(self.seek_from		)
  													return self
  
  
  							def __len__(   self		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		os.fstat(self.f.fileno()		).st_size
  													return min(self.read_limit			,    total_length - self.seek_from		)
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase=-1		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													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(_UpperCAmelCase			,    _UpperCAmelCase		)		)
  													self.n_seen += len(_UpperCAmelCase		)
  													return data
  
  
  							def __iter__(   self		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													yield self.read(n=4 * 1_024 * 1_024		)
  
  
  
  
  
  
  							def __exit__(   self			,    *_UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													self.f.close()
  
  
  
  
  
  class        lowercase_				:
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							def __init__(   self			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		args
  
  
  
  
  
  
  							def 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													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(_UpperCAmelCase		):
  																									with FileSlice(_UpperCAmelCase			,    seek_from=i * chunk_size			,    read_limit=_UpperCAmelCase		) as data:
  																															a_					=		requests.put(_UpperCAmelCase			,    data=_UpperCAmelCase		)
  																															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(
  																			    _UpperCAmelCase			,    json={
  																			        """oid""": oid,
  																			        """parts""": parts,
  																			    }			,    )
  																			r.raise_for_status()
  
  																			write_msg({"""event""": """complete""", """oid""": oid}		)
style_context: 
  
  
  import importlib
  import sys
  from argparse import REMAINDER, ArgumentParser
  from pathlib import Path
  
  import torch_xla.distributed.xla_multiprocessing as xmp
  
  
  
  
  def   lowerCamelCase_       (					):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						a_					=		ArgumentParser(
  						    description=(
  						        """PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes"""
  						    )      )
  
  						# Optional arguments for the launch helper
  						parser.add_argument("""--num_cores"""       ,    type=UpperCAmelCase__       ,    default=1       ,    help="""Number of TPU cores to use (1 or 8)."""      )
  
  						# positional
  						parser.add_argument(
  						    """training_script"""       ,    type=UpperCAmelCase__       ,    help=(
  						        """The full path to the single TPU training """
  						        """program/script to be launched in parallel, """
  						        """followed by all the arguments for the """
  						        """training script"""
  						    )       ,    )
  
  						# rest from the training program
  						parser.add_argument("""training_script_args"""       ,    nargs=UpperCAmelCase__      )
  
  						return parser.parse_args()
  
  
  
  
  def   lowerCamelCase_       (					):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						a_					=		parse_args()
  
  						# Import training_script as a module.
  						a_					=		Path(args.training_script      )
  						sys.path.append(str(script_fpath.parent.resolve()      )      )
  						a_					=		script_fpath.stem
  						a_					=		importlib.import_module(UpperCAmelCase__      )
  
  						# Patch sys.argv
  						a_					=		[args.training_script] + args.training_script_args + ["""--tpu_num_cores""", str(args.num_cores      )]
  
  						xmp.spawn(mod._mp_fn       ,    args=()       ,    nprocs=args.num_cores      )
  
  
  if __name__ == "__main__":
  	main()