# 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__     :							List[str]            =      '''Run commands across TPU VMs for initial setup before running `accelerate launch`.'''

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

def   SCREAMING_SNAKE_CASE_	(		snake_case__				)	->      Tuple:
							lowerCAmelCase      						=						None

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

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

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






def   SCREAMING_SNAKE_CASE_	(		)	->      str:
							lowerCAmelCase      						=						tpu_command_parser()
							lowerCAmelCase      						=						parser.parse_args()

							tpu_command_launcher(lowercase_				)










def  __UpperCAmelCase(   lowercase_			,     lowercase_   ):
       # "extended trapezoidal rule"
       # int(f) = dx/2 * (f1 + 2f2 + ... + fn)
       _lowerCamelCase				:  int						=		(boundary[1] - boundary[0]) / steps
       _lowerCamelCase				:  Any						=		boundary[0]
       _lowerCamelCase				:  Tuple						=		boundary[1]
       _lowerCamelCase				:  Optional[Any]						=		make_points(lowercase_			,     lowercase_			,     lowercase_   )
       _lowerCamelCase				:  Dict						=		0.0
       y += (h / 2.0) * f(lowercase_   )
       for i in x_i:
              # print(i)
              y += h * f(lowercase_   )
       y += (h / 2.0) * f(lowercase_   )
       return y




def  __UpperCAmelCase(   lowercase_			,     lowercase_			,     lowercase_   ):
       _lowerCamelCase				:  Dict						=		a + h
       while x < (b - h):
              yield x
              _lowerCamelCase				:  Dict						=		x + h




def  __UpperCAmelCase(   lowercase_   ):  # enter your function here
       _lowerCamelCase				:  List[str]						=		(x - 0) * (x - 0)
       return y




def  __UpperCAmelCase(   ):
       _lowerCamelCase				:  List[Any]						=		0.0  # Lower bound of integration
       _lowerCamelCase				:  Union[str, Any]						=		1.0  # Upper bound of integration
       _lowerCamelCase				:  Dict						=		1_0.0  # define number of steps or resolution
       _lowerCamelCase				:  Optional[int]						=		[a, b]  # define boundary of integration
       _lowerCamelCase				:  str						=		method_a(lowercase_			,     lowercase_   )
       print(F"""y = {y}"""   )


if __name__ == "__main__":
       main()

