
import html

from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends


if is_bsa_available():
							import bsa
							from bsa import BeautifulSoup


lowercase__	:str										=					logging.get_logger(__name__)







class        lowercase	(      SCREAMING_SNAKE_CASE__	):




							def __init__(       self     ,**A__):
												requires_backends(self     ,['''bs4'''])
												super().__init__(**A__)




							def 				A__   (       self     ,A__):
												lowercase					=		[]
												lowercase					=		[]
												lowercase					=		element if element.name else element.parent
												for parent in child.parents:  # type: bs4.element.Tag
																	lowercase					=		parent.find_all(child.name     ,recursive=A__)
																	xpath_tags.append(child.name)
																	xpath_subscripts.append(
																	    0 if 1 == len(A__) else next(i for i, s in enumerate(A__     ,1) if s is child))
																	lowercase					=		parent
												xpath_tags.reverse()
												xpath_subscripts.reverse()
												return xpath_tags, xpath_subscripts




							def 				A__   (       self     ,A__):
												lowercase					=		BeautifulSoup(A__     ,'''html.parser''')

												lowercase					=		[]
												lowercase					=		[]
												lowercase					=		[]

												for element in html_code.descendants:
																	if type(A__) == bsa.element.NavigableString:
																						if type(element.parent) != bsa.element.Tag:
																											continue

																						lowercase					=		html.unescape(A__).strip()
																						if not text_in_this_tag:
																											continue

																						all_doc_strings.append(A__)

																						lowercase			,		lowercase					=		self.xpath_soup(A__)
																						stringaxtag_seq.append(A__)
																						stringaxsubs_seq.append(A__)

												if len(A__) != len(A__):
																	raise ValueError('''Number of doc strings and xtags does not correspond''')
												if len(A__) != len(A__):
																	raise ValueError('''Number of doc strings and xsubs does not correspond''')

												return all_doc_strings, stringaxtag_seq, stringaxsubs_seq




							def 				A__   (       self     ,A__     ,A__):
												lowercase					=		''''''
												for tagname, subs in zip(A__     ,A__):
																	xpath += f'/{tagname}'
																	if subs != 0:
																						xpath += f'[{subs}]'
												return xpath





							def __call__(       self     ,A__):
												lowercase					=		False

												# Check that strings has a valid type
												if isinstance(A__     ,A__):
																	lowercase					=		True
												elif isinstance(A__     ,(list, tuple)):
																	if len(A__) == 0 or isinstance(html_strings[0]     ,A__):
																						lowercase					=		True

												if not valid_strings:
																	raise ValueError(
																	    '''HTML strings must of type `str`, `List[str]` (batch of examples), '''
																	    f'but is of type {type(A__)}.')

												lowercase					=		bool(isinstance(A__     ,(list, tuple)) and (isinstance(html_strings[0]     ,A__)))

												if not is_batched:
																	lowercase					=		[html_strings]

												# Get nodes + xpaths
												lowercase					=		[]
												lowercase					=		[]
												for html_string in html_strings:
																	lowercase			,		lowercase			,		lowercase					=		self.get_three_from_single(A__)
																	nodes.append(A__)
																	lowercase					=		[]
																	for node, tag_list, sub_list in zip(A__     ,A__     ,A__):
																						lowercase					=		self.construct_xpath(A__     ,A__)
																						xpath_strings.append(A__)
																	xpaths.append(A__)

												# return as Dict
												lowercase					=		{'''nodes''': nodes, '''xpaths''': xpaths}
												lowercase					=		BatchFeature(data=A__     ,tensor_type=A__)

												return encoded_inputs






# 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__	:Any										=					"Run commands across TPU VMs for initial setup before running `accelerate launch`."



def  UpperCamelCase					(							lowerCAmelCase__=None	):
					'''simple docstring'''
					if subparsers is not None:
										lowercase					=		subparsers.add_parser('''tpu-config'''				,    description=_description	)
					else:
										lowercase					=		argparse.ArgumentParser('''Accelerate tpu-config command'''				,    description=_description	)
					# Core arguments
					lowercase					=		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.'''				,    )
					lowercase					=		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__	):
					'''simple docstring'''
					lowercase					=		None

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

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

					# Then send it to gcloud
					# Eventually try to use google-api-core to do this instead of subprocess
					lowercase					=		['''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					(							):
					'''simple docstring'''
					lowercase					=		tpu_command_parser()
					lowercase					=		parser.parse_args()

					tpu_command_launcher(lowerCAmelCase__	)




