

'''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


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




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




def 							_UpperCamelCase				(   lowerCAmelCase__:					int   )      -> Tuple:
							SCREAMING_SNAKE_CASE_				=				None

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

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

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




def 							_UpperCamelCase				(   )      -> Tuple:
							SCREAMING_SNAKE_CASE_				=				tpu_command_parser()
							SCREAMING_SNAKE_CASE_				=				parser.parse_args()

							tpu_command_launcher(__lowerCamelCase   )










from __future__ import annotations






class     __a			:



	def __init__(    self				:     List[Any]					,						snake_case_				:     str					,						snake_case_				:     str)->				Optional[int]:
						__lowerCAmelCase ,						__lowerCAmelCase						 =text, pattern
						__lowerCAmelCase ,						__lowerCAmelCase						 =len(snake_case_), len(snake_case_)



	def 		UpperCamelCase				(    self				:     List[Any]					,						snake_case_				:     str)->				int:

						for i in range(self.patLen - 1					,						-1					,						-1):
											if char == self.pattern[i]:
																return i
						return -1



	def 		UpperCamelCase				(    self				:     List[str]					,						snake_case_				:     int)->				int:

						for i in range(self.patLen - 1					,						-1					,						-1):
											if self.pattern[i] != self.text[current_pos + i]:
																return current_pos + i
						return -1



	def 		UpperCamelCase				(    self				:     Dict)->				list[int]:
						# searches pattern in text and returns index positions
						__lowerCAmelCase						 =[]
						for i in range(self.textLen - self.patLen + 1):
											__lowerCAmelCase						 =self.mismatch_in_text(snake_case_)
											if mismatch_index == -1:
																positions.append(snake_case_)
											else:
																__lowerCAmelCase						 =self.match_in_pattern(self.text[mismatch_index])
																__lowerCAmelCase						 =(
																    mismatch_index - match_index
																)  # shifting index lgtm [py/multiple-definition]
						return positions


lowercase_													=      '''ABAABA'''
lowercase_													=      '''AB'''
lowercase_													=      BoyerMooreSearch(text, pattern)
lowercase_													=      bms.bad_character_heuristic()

if len(positions) == 0:
				print('''No match found''')
else:
				print('''Pattern found in following positions: ''')
				print(positions)




