





'''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


lowercase__       : Optional[Any]         =       '''Run commands across TPU VMs for initial setup before running `accelerate launch`.'''






def 			_lowerCAmelCase     (    __snake_case    :					str=None     )	->	int:
     if subparsers is not None:
          __A		:					Tuple						=			subparsers.add_parser('tpu-config'					,				description=_description     )
     else:
          __A		:					Dict						=			argparse.ArgumentParser('Accelerate tpu-config command'					,				description=_description     )
     # Core arguments
     __A		:					Dict						=			parser.add_argument_group(
         'Config Arguments'					,				'Arguments that can be configured through `accelerate config`.'     )
     config_args.add_argument(
         '--config_file'					,				type=__snake_case					,				default=__snake_case					,				help='Path to the config file to use for accelerate.'					,				)
     config_args.add_argument(
         '--tpu_name'					,				default=__snake_case					,				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=__snake_case					,				help='The zone of the TPU to use. If not specified, will use the zone specified in the config file.'					,				)
     __A		:					Optional[Any]						=			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=__snake_case					,				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=__snake_case     )
     return parser






def 			_lowerCAmelCase     (    __snake_case    :					Dict     )	->	Optional[int]:
     __A		:					Tuple						=			None

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

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

     # Then send it to gcloud
     # Eventually try to use google-api-core to do this instead of subprocess
     __A		:					Dict						=			['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(__snake_case     )}'     )
          return
     subprocess.run(__snake_case     )
     print('Successfully setup pod.'     )







def 			_lowerCAmelCase     (    )	->	List[str]:
     __A		:					int						=			tpu_command_parser()
     __A		:					Union[str, Any]						=			parser.parse_args()

     tpu_command_launcher(__snake_case     )




'''simple docstring'''





def 			a_	(				_lowerCAmelCase			,_lowerCAmelCase			) -> tuple[float, float]:

  # Check if the input is valid
  if not len(_lowerCAmelCase			) == len(_lowerCAmelCase			) == 3:
    raise ValueError('Please enter a valid equation.'			)
  if equationa[0] == equationa[1] == equationa[0] == equationa[1] == 0:
    raise ValueError('Both a & b of two equations can\'t be zero.'			)

  # Extract the coefficients
  __lowerCamelCase			,__lowerCamelCase			,__lowerCamelCase			:			Union[str, Any]       			=					equationa
  __lowerCamelCase			,__lowerCamelCase			,__lowerCamelCase			:			Any       			=					equationa

  # Calculate the determinants of the matrices
  __lowerCamelCase			:			Union[str, Any]       			=					aa * ba - aa * ba
  __lowerCamelCase			:			Dict       			=					ca * ba - ca * ba
  __lowerCamelCase			:			List[str]       			=					aa * ca - aa * ca

  # Check if the system of linear equations has a solution (using Cramer's rule)
  if determinant == 0:
    if determinant_x == determinant_y == 0:
      raise ValueError('Infinite solutions. (Consistent system)'			)
    else:
      raise ValueError('No solution. (Inconsistent system)'			)
  else:
    if determinant_x == determinant_y == 0:
      # Trivial solution (Inconsistent system)
      return (0.0, 0.0)
    else:
      __lowerCamelCase			:			Tuple       			=					determinant_x / determinant
      __lowerCamelCase			:			Union[str, Any]       			=					determinant_y / determinant
      # Non-Trivial Solution (Consistent system)
      return (x, y)






