

'''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


UpperCamelCase_							=					"""Run commands across TPU VMs for initial setup before running `accelerate launch`."""






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






def 							_lowerCAmelCase (      __magic_name__	:    Optional[int]	)							->     Any:
						lowercase   :       Optional[int]								=None

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

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

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







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

						tpu_command_launcher(__magic_name__	)








'''simple docstring'''





import mpmath  # for roots of unity
import numpy as np





class 		__SCREAMING_SNAKE_CASE       :







				def __init__(					self    :		Union[str, Any]		,				UpperCAmelCase__    :		List[Any]=None		,				UpperCAmelCase__    :		Optional[Any]=None      ):
										'''simple docstring'''
										# Input as list
										lowercase   :       Optional[int]								=list(poly_a or [0]      )[:]
										lowercase   :       Optional[Any]								=list(poly_b or [0]      )[:]

										# Remove leading zero coefficients
										while self.polyA[-1] == 0:
																self.polyA.pop()
										lowercase   :       Any								=len(self.polyA      )

										while self.polyB[-1] == 0:
																self.polyB.pop()
										lowercase   :       Dict								=len(self.polyB      )

										# Add 0 to make lengths equal a power of 2
										lowercase   :       int								=int(
										    2 ** np.ceil(np.loga(len(self.polyA      ) + len(self.polyB      ) - 1      )      )      )

										while len(self.polyA      ) < self.c_max_length:
																self.polyA.append(0      )
										while len(self.polyB      ) < self.c_max_length:
																self.polyB.append(0      )
										# A complex root used for the fourier transform
										lowercase   :       Union[str, Any]								=complex(mpmath.root(x=1		,				n=self.c_max_length		,				k=1      )      )

										# The product
										lowercase   :       Tuple								=self.__multiply()







				def    lowerCamelCase_  (					self    :		Union[str, Any]		,				UpperCAmelCase__    :		Tuple      ):
										'''simple docstring'''
										lowercase   :       Union[str, Any]								=[[x] for x in self.polyA] if which == '''A''' else [[x] for x in self.polyB]
										# Corner case
										if len(UpperCAmelCase__      ) <= 1:
																return dft[0]
										#
										lowercase   :       Any								=self.c_max_length // 2
										while next_ncol > 0:
																lowercase   :       Optional[int]								=[[] for i in range(UpperCAmelCase__      )]
																lowercase   :       Tuple								=self.root**next_ncol

																# First half of next step
																lowercase   :       str								=1
																for j in range(self.c_max_length // (next_ncol * 2)      ):
																						for i in range(UpperCAmelCase__      ):
																												new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j]      )
																						current_root *= root
																# Second half of next step
																lowercase   :       int								=1
																for j in range(self.c_max_length // (next_ncol * 2)      ):
																						for i in range(UpperCAmelCase__      ):
																												new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j]      )
																						current_root *= root
																# Update
																lowercase   :       Dict								=new_dft
																lowercase   :       Tuple								=next_ncol // 2
										return dft[0]







				def    lowerCamelCase_  (					self    :		List[Any]      ):
										'''simple docstring'''
										lowercase   :       Any								=self.__dft('''A'''      )
										lowercase   :       Any								=self.__dft('''B'''      )
										lowercase   :       Optional[int]								=[[dft_a[i] * dft_b[i] for i in range(self.c_max_length      )]]
										del dft_a
										del dft_b

										# Corner Case
										if len(inverce_c[0]      ) <= 1:
																return inverce_c[0]
										# Inverse DFT
										lowercase   :       Optional[int]								=2
										while next_ncol <= self.c_max_length:
																lowercase   :       Optional[int]								=[[] for i in range(UpperCAmelCase__      )]
																lowercase   :       List[str]								=self.root ** (next_ncol // 2)
																lowercase   :       Optional[int]								=1
																# First half of next step
																for j in range(self.c_max_length // next_ncol      ):
																						for i in range(next_ncol // 2      ):
																												# Even positions
																												new_inverse_c[i].append(
																												    (
																												        inverce_c[i][j]
																												        + inverce_c[i][j + self.c_max_length // next_ncol]
																												    )
																												    / 2      )
																												# Odd positions
																												new_inverse_c[i + next_ncol // 2].append(
																												    (
																												        inverce_c[i][j]
																												        - inverce_c[i][j + self.c_max_length // next_ncol]
																												    )
																												    / (2 * current_root)      )
																						current_root *= root
																# Update
																lowercase   :       List[Any]								=new_inverse_c
																next_ncol *= 2
										# Unpack
										lowercase   :       Tuple								=[round(x[0].real		,				8      ) + round(x[0].imag		,				8      ) * 1J for x in inverce_c]

										# Remove leading 0's
										while inverce_c[-1] == 0:
																inverce_c.pop()
										return inverce_c







				def __str__(					self    :		Any      ):
										'''simple docstring'''
										lowercase   :       Any								='''A = ''' + ''' + '''.join(
										    F'''{coef}*x^{i}''' for coef, i in enumerate(self.polyA[: self.len_A]      )      )
										lowercase   :       Tuple								='''B = ''' + ''' + '''.join(
										    F'''{coef}*x^{i}''' for coef, i in enumerate(self.polyB[: self.len_B]      )      )
										lowercase   :       List[str]								='''A*B = ''' + ''' + '''.join(
										    F'''{coef}*x^{i}''' for coef, i in enumerate(self.product      )      )

										return F'''{a}\n{b}\n{c}'''


# Unit tests
if __name__ == "__main__":
							import doctest

							doctest.testmod()





