



# 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 							A     (					_UpperCAmelCase    :       Optional[Any]=None   )    ->			Union[str, Any]:







			'''simple docstring'''
			if subparsers is not None:
						_UpperCAmelCase			=       subparsers.add_parser('tpu-config'							,       description=_description   )
			else:
						_UpperCAmelCase			=       argparse.ArgumentParser('Accelerate tpu-config command'							,       description=_description   )
			# Core arguments
			_UpperCAmelCase			=       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.'							,       )
			_UpperCAmelCase			=       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 							A     (					_UpperCAmelCase    :       Tuple   )    ->			Union[str, Any]:







			'''simple docstring'''
			_UpperCAmelCase			=       None

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

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

			# Then send it to gcloud
			# Eventually try to use google-api-core to do this instead of subprocess
			_UpperCAmelCase			=       ['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 							A     (					)    ->			List[Any]:







			'''simple docstring'''
			_UpperCAmelCase			=       tpu_command_parser()
			_UpperCAmelCase			=       parser.parse_args()

			tpu_command_launcher(_UpperCAmelCase   )





import string

import numpy





def 							A     (					_UpperCAmelCase    :       int							,       _UpperCAmelCase    :       int   )    ->			int:







			'''simple docstring'''
			return b if a == 0 else greatest_common_divisor(b % a							,       _UpperCAmelCase   )







class       __lowerCAmelCase   :
			UpperCamelCase        =					string.ascii_uppercase + string.digits
			# This cipher takes alphanumerics into account
			# i.e. a total of 36 characters

			# take x and return x % len(key_string)
			UpperCamelCase        =					numpy.vectorize(lambda A						: x % 3_6						)

			UpperCamelCase        =					numpy.vectorize(A						)



			def __init__(						self       :  Tuple			,		A       :  numpy.ndarray)       ->   None:



						"""simple docstring"""






						_UpperCAmelCase			=       self.modulus(A)  # mod36 calc's on the encrypt key
						self.check_determinant()  # validate the determinant of the encryption key
						_UpperCAmelCase			=       encrypt_key.shape[0]



			def    _lowerCamelCase	(						self       :  str			,		A       :  str)       ->   int:



						"""simple docstring"""






						return self.key_string.index(A)



			def    _lowerCamelCase	(						self       :  Any			,		A       :  int)       ->   str:



						"""simple docstring"""






						return self.key_string[round(A)]



			def    _lowerCamelCase	(						self       :  Union[str, Any])       ->   None:



						"""simple docstring"""






						_UpperCAmelCase			=       round(numpy.linalg.det(self.encrypt_key))

						if det < 0:
									_UpperCAmelCase			=       det % len(self.key_string)

						_UpperCAmelCase			=       len(self.key_string)
						if greatest_common_divisor(A			,		len(self.key_string)) != 1:
									_UpperCAmelCase			=       (
									    F"determinant modular {req_l} of encryption key({det}) "
									    F"is not co prime w.r.t {req_l}.\nTry another key."
									)
									raise ValueError(A)



			def    _lowerCamelCase	(						self       :  Union[str, Any]			,		A       :  str)       ->   str:



						"""simple docstring"""






						_UpperCAmelCase			=       [char for char in text.upper() if char in self.key_string]

						_UpperCAmelCase			=       chars[-1]
						while len(A) % self.break_key != 0:
									chars.append(A)

						return "".join(A)



			def    _lowerCamelCase	(						self       :  Union[str, Any]			,		A       :  str)       ->   str:



						"""simple docstring"""






						_UpperCAmelCase			=       self.process_text(text.upper())
						_UpperCAmelCase			=       ''

						for i in range(0			,		len(A) - self.break_key + 1			,		self.break_key):
									_UpperCAmelCase			=       text[i : i + self.break_key]
									_UpperCAmelCase			=       [self.replace_letters(A) for char in batch]
									_UpperCAmelCase			=       numpy.array([vec]).T
									_UpperCAmelCase			=       self.modulus(self.encrypt_key.dot(A)).T.tolist()[
									    0
									]
									_UpperCAmelCase			=       ''.join(
									    self.replace_digits(A) for num in batch_encrypted)
									encrypted += encrypted_batch

						return encrypted



			def    _lowerCamelCase	(						self       :  Optional[Any])       ->   numpy.ndarray:



						"""simple docstring"""






						_UpperCAmelCase			=       round(numpy.linalg.det(self.encrypt_key))

						if det < 0:
									_UpperCAmelCase			=       det % len(self.key_string)
						_UpperCAmelCase			=       None
						for i in range(len(self.key_string)):
									if (det * i) % len(self.key_string) == 1:
												_UpperCAmelCase			=       i
												break

						_UpperCAmelCase			=       (
						    det_inv
						    * numpy.linalg.det(self.encrypt_key)
						    * numpy.linalg.inv(self.encrypt_key)
						)

						return self.to_int(self.modulus(A))



			def    _lowerCamelCase	(						self       :  Tuple			,		A       :  str)       ->   str:



						"""simple docstring"""






						_UpperCAmelCase			=       self.make_decrypt_key()
						_UpperCAmelCase			=       self.process_text(text.upper())
						_UpperCAmelCase			=       ''

						for i in range(0			,		len(A) - self.break_key + 1			,		self.break_key):
									_UpperCAmelCase			=       text[i : i + self.break_key]
									_UpperCAmelCase			=       [self.replace_letters(A) for char in batch]
									_UpperCAmelCase			=       numpy.array([vec]).T
									_UpperCAmelCase			=       self.modulus(decrypt_key.dot(A)).T.tolist()[0]
									_UpperCAmelCase			=       ''.join(
									    self.replace_digits(A) for num in batch_decrypted)
									decrypted += decrypted_batch

						return decrypted





def 							A     (					)    ->			None:







			'''simple docstring'''
			_UpperCAmelCase			=       int(input('Enter the order of the encryption key: '   )   )
			_UpperCAmelCase			=       []

			print('Enter each row of the encryption key with space separated integers'   )
			for _ in range(_UpperCAmelCase   ):
						_UpperCAmelCase			=       [int(_UpperCAmelCase   ) for x in input().split()]
						hill_matrix.append(_UpperCAmelCase   )

			_UpperCAmelCase			=       HillCipher(numpy.array(_UpperCAmelCase   )   )

			print('Would you like to encrypt or decrypt some text? (1 or 2)'   )
			_UpperCAmelCase			=       input('\n1. Encrypt\n2. Decrypt\n'   )
			if option == "1":
						_UpperCAmelCase			=       input('What text would you like to encrypt?: '   )
						print('Your encrypted text is:'   )
						print(hc.encrypt(_UpperCAmelCase   )   )
			elif option == "2":
						_UpperCAmelCase			=       input('What text would you like to decrypt?: '   )
						print('Your decrypted text is:'   )
						print(hc.decrypt(_UpperCAmelCase   )   )


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							main()
