


'''simple docstring'''



# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


A__		:					Optional[int]												=  """Run commands across TPU VMs for initial setup before running `accelerate launch`."""



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				Union[str, Any]=None							)     ->		Optional[int]:
     if subparsers is not None:
          __lowerCamelCase   :	List[str]								=		subparsers.add_parser('tpu-config'      ,    description=_description							)
     else:
          __lowerCamelCase   :	List[Any]								=		argparse.ArgumentParser('Accelerate tpu-config command'      ,    description=_description							)
     # Core arguments
     __lowerCamelCase   :	Any								=		parser.add_argument_group(
         'Config Arguments'      ,    'Arguments that can be configured through `accelerate config`.'							)
     config_args.add_argument(
         '--config_file'      ,    type=UpperCAmelCase_      ,    default=UpperCAmelCase_      ,    help='Path to the config file to use for accelerate.'      ,    )
     config_args.add_argument(
         '--tpu_name'      ,    default=UpperCAmelCase_      ,    help='The name of the TPU to use. If not specified, will use the TPU specified in the config file.'      ,    )
     config_args.add_argument(
         '--tpu_zone'      ,    default=UpperCAmelCase_      ,    help='The zone of the TPU to use. If not specified, will use the zone specified in the config file.'      ,    )
     __lowerCamelCase   :	Dict								=		parser.add_argument_group('TPU Arguments'      ,    'Arguments for options ran inside the TPU.'							)
     pod_args.add_argument(
         '--use_alpha'      ,    action='store_true'      ,    help='Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.'      ,    )
     pod_args.add_argument(
         '--command_file'      ,    default=UpperCAmelCase_      ,    help='The path to the file containing the commands to run on the pod on startup.'      ,    )
     pod_args.add_argument(
         '--command'      ,    action='append'      ,    nargs='+'      ,    help='A command to run on the pod. Can be passed multiple times.'      ,    )
     pod_args.add_argument(
         '--install_accelerate'      ,    action='store_true'      ,    help='Whether to install accelerate on the pod. Defaults to False.'      ,    )
     pod_args.add_argument(
         '--accelerate_version'      ,    default='latest'      ,    help='The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify \'dev\' to install from GitHub.'      ,    )
     pod_args.add_argument(
         '--debug'      ,    action='store_true'      ,    help='If set, will print the command that would be run instead of running it.'							)

     if subparsers is not None:
          parser.set_defaults(func=UpperCAmelCase_							)
     return parser



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				Dict							)     ->		int:
     __lowerCamelCase   :	Dict								=		None

     # Get the default from the config file if it exists.
     if args.config_file is not None or os.path.isfile(UpperCAmelCase_							):
          __lowerCamelCase   :	Any								=		load_config_from_file(args.config_file							)
          if not args.command_file and defaults.command_file is not None and not args.command:
               __lowerCamelCase   :	List[Any]								=		defaults.command_file
          if not args.command and defaults.commands is not None:
               __lowerCamelCase   :	List[Any]								=		defaults.commands
          if not args.tpu_name:
               __lowerCamelCase   :	Any								=		defaults.tpu_name
          if not args.tpu_zone:
               __lowerCamelCase   :	List[str]								=		defaults.tpu_zone
     if args.accelerate_version == "dev":
          __lowerCamelCase   :	Tuple								=		'git+https://github.com/huggingface/accelerate.git'
     elif args.accelerate_version == "latest":
          __lowerCamelCase   :	Optional[int]								=		'accelerate -U'
     elif isinstance(parse(args.accelerate_version							)      ,    UpperCAmelCase_							):
          __lowerCamelCase   :	Any								=		F'accelerate=={args.accelerate_version}'

     if not args.command_file and not args.command:
          raise ValueError('You must specify either a command file or a command to run on the pod.'							)

     if args.command_file:
          with open(args.command_file      ,    'r'							) as f:
               __lowerCamelCase   :	Optional[int]								=		[f.read().splitlines()]

    # To turn list of lists into list of strings
     if isinstance(args.command[0]      ,    UpperCAmelCase_							):
          __lowerCamelCase   :	Any								=		[line for cmd in args.command for line in cmd]
     # Default to the shared folder and install accelerate
     __lowerCamelCase   :	Dict								=		['cd /usr/share']
     if args.install_accelerate:
          new_cmd += [F'pip install {args.accelerate_version}']
     new_cmd += args.command
     __lowerCamelCase   :	Union[str, Any]								=		'; '.join(UpperCAmelCase_							)

     # Then send it to gcloud
     # Eventually try to use google-api-core to do this instead of subprocess
     __lowerCamelCase   :	List[str]								=		['gcloud']
     if args.use_alpha:
          cmd += ["alpha"]
     cmd += [
         "compute",
         "tpus",
         "tpu-vm",
         "ssh",
         args.tpu_name,
         "--zone",
         args.tpu_zone,
         "--command",
         args.command,
         "--worker",
         "all",
     ]
     if args.debug:
          print(F'Running {" ".join(UpperCAmelCase_							)}'							)
          return
     subprocess.run(UpperCAmelCase_							)
     print('Successfully setup pod.'							)



def 			UpperCAmelCase__					(	)     ->		Tuple:
     __lowerCamelCase   :	Optional[Any]								=		tpu_command_parser()
     __lowerCamelCase   :	str								=		parser.parse_args()

     tpu_command_launcher(UpperCAmelCase_							)










'''simple docstring'''



A__		:					Optional[int]												=  """ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"""



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				bytes							)     ->		bytes:
     # Make sure the supplied data is a bytes-like object
     if not isinstance(UpperCAmelCase_      ,    UpperCAmelCase_							):
          __lowerCamelCase   :	Dict								=		F'a bytes-like object is required, not \'{data.__class__.__name__}\''
          raise TypeError(UpperCAmelCase_							)

     __lowerCamelCase   :	Optional[int]								=		''.join(bin(UpperCAmelCase_							)[2:].zfill(8							) for byte in data							)

     __lowerCamelCase   :	Any								=		len(UpperCAmelCase_							) % 6 != 0

     if padding_needed:
          # The padding that will be added later
          __lowerCamelCase   :	int								=		B'=' * ((6 - len(UpperCAmelCase_							) % 6) // 2)

          # Append binary_stream with arbitrary binary digits (0's by default) to make its
          # length a multiple of 6.
          binary_stream += "0" * (6 - len(UpperCAmelCase_							) % 6)
     else:
          __lowerCamelCase   :	str								=		B''

     # Encode every 6 binary digits to their corresponding Base64 character
     return (
         "".join(
             B64_CHARSET[int(binary_stream[index : index + 6]      ,    2							)]
             for index in range(0      ,    len(UpperCAmelCase_							)      ,    6							)							).encode()
         + padding
     )



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				str							)     ->		bytes:
     # Make sure encoded_data is either a string or a bytes-like object
     if not isinstance(UpperCAmelCase_      ,    UpperCAmelCase_							) and not isinstance(UpperCAmelCase_      ,    UpperCAmelCase_							):
          __lowerCamelCase   :	Dict								=		(
              'argument should be a bytes-like object or ASCII string, '
              F'not \'{encoded_data.__class__.__name__}\''
          )
          raise TypeError(UpperCAmelCase_							)

     # In case encoded_data is a bytes-like object, make sure it contains only
     # ASCII characters so we convert it to a string object
     if isinstance(UpperCAmelCase_      ,    UpperCAmelCase_							):
          try:
               __lowerCamelCase   :	int								=		encoded_data.decode('utf-8'							)
          except UnicodeDecodeError:
               raise ValueError('base64 encoded data should only contain ASCII characters'							)

     __lowerCamelCase   :	Union[str, Any]								=		encoded_data.count('='							)

     # Check if the encoded string contains non base64 characters
     if padding:
          assert all(
              char in B64_CHARSET for char in encoded_data[:-padding]							), "Invalid base64 character(s) found."
     else:
          assert all(
              char in B64_CHARSET for char in encoded_data							), "Invalid base64 character(s) found."

     # Check the padding
     assert len(UpperCAmelCase_							) % 4 == 0 and padding < 3, "Incorrect padding"

     if padding:
          # Remove padding if there is one
          __lowerCamelCase   :	Any								=		encoded_data[:-padding]

          __lowerCamelCase   :	Optional[Any]								=		''.join(
              bin(B64_CHARSET.index(UpperCAmelCase_							)							)[2:].zfill(6							) for char in encoded_data							)[: -padding * 2]
     else:
          __lowerCamelCase   :	Any								=		''.join(
              bin(B64_CHARSET.index(UpperCAmelCase_							)							)[2:].zfill(6							) for char in encoded_data							)

     __lowerCamelCase   :	str								=		[
         int(binary_stream[index : index + 8]      ,    2							)
         for index in range(0      ,    len(UpperCAmelCase_							)      ,    8							)
     ]

     return bytes(UpperCAmelCase_							)


if __name__ == "__main__":
      import doctest

      doctest.testmod()






