



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


UpperCAmelCase__       =	logging.get_logger(__name__)







class       __lowerCAmelCase   (      A						):



			def __init__(						self       :  Dict			,		**A       :  Tuple)       ->   int:



								"""simple docstring"""






								requires_backends(self			,		['bs4'])
								super().__init__(**A)



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



								"""simple docstring"""






								_UpperCAmelCase			=       []
								_UpperCAmelCase			=       []
								_UpperCAmelCase			=       element if element.name else element.parent
								for parent in child.parents:  # type: bs4.element.Tag
													_UpperCAmelCase			=       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))
													_UpperCAmelCase			=       parent
								xpath_tags.reverse()
								xpath_subscripts.reverse()
								return xpath_tags, xpath_subscripts



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



								"""simple docstring"""






								_UpperCAmelCase			=       BeautifulSoup(A			,		'html.parser')

								_UpperCAmelCase			=       []
								_UpperCAmelCase			=       []
								_UpperCAmelCase			=       []

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

																		_UpperCAmelCase			=       html.unescape(A).strip()
																		if not text_in_this_tag:
																							continue

																		all_doc_strings.append(A)

																		_UpperCAmelCase	,					_UpperCAmelCase			=       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    _lowerCamelCase	(						self       :  List[Any]			,		A       :  Optional[Any]			,		A       :  Union[str, Any])       ->   Optional[Any]:



								"""simple docstring"""






								_UpperCAmelCase			=       ''
								for tagname, subs in zip(A			,		A):
													xpath += F"/{tagname}"
													if subs != 0:
																		xpath += F"[{subs}]"
								return xpath



			def __call__(						self       :  Optional[Any]			,		A       :  str)       ->   BatchFeature:



								"""simple docstring"""






								_UpperCAmelCase			=       False

								# Check that strings has a valid type
								if isinstance(A			,		A):
													_UpperCAmelCase			=       True
								elif isinstance(A			,		(list, tuple)):
													if len(A) == 0 or isinstance(html_strings[0]			,		A):
																		_UpperCAmelCase			=       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)}.")

								_UpperCAmelCase			=       bool(isinstance(A			,		(list, tuple)) and (isinstance(html_strings[0]			,		A)))

								if not is_batched:
													_UpperCAmelCase			=       [html_strings]

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

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

								return encoded_inputs





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase__       =	logging.get_logger(__name__)

UpperCAmelCase__       =	{
    "facebook/xmod-base": "https://huggingface.co/facebook/xmod-base/resolve/main/config.json",
    "facebook/xmod-large-prenorm": "https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json",
    "facebook/xmod-base-13-125k": "https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json",
    "facebook/xmod-base-30-125k": "https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json",
    "facebook/xmod-base-30-195k": "https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json",
    "facebook/xmod-base-60-125k": "https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json",
    "facebook/xmod-base-60-265k": "https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json",
    "facebook/xmod-base-75-125k": "https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json",
    "facebook/xmod-base-75-269k": "https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json",
}







class       __lowerCAmelCase   (      A						):
			UpperCamelCase        =					'''xmod'''



			def __init__(						self       :  Optional[int]			,		A       :  int=3_05_22			,		A       :  Tuple=7_68			,		A       :  Optional[Any]=12			,		A       :  Tuple=12			,		A       :  str=30_72			,		A       :  List[str]="gelu"			,		A       :  Any=0.1			,		A       :  int=0.1			,		A       :  Dict=5_12			,		A       :  Optional[Any]=2			,		A       :  Optional[Any]=0.0_2			,		A       :  List[Any]=1E-12			,		A       :  int=1			,		A       :  Tuple=0			,		A       :  Optional[Any]=2			,		A       :  int="absolute"			,		A       :  Union[str, Any]=True			,		A       :  List[Any]=None			,		A       :  Optional[Any]=False			,		A       :  List[str]=2			,		A       :  int=False			,		A       :  str=True			,		A       :  Optional[Any]=True			,		A       :  Tuple=("en_XX",)			,		A       :  Optional[int]=None			,		**A       :  List[str]			,		)       ->   Dict:



						"""simple docstring"""






						super().__init__(pad_token_id=A			,		bos_token_id=A			,		eos_token_id=A			,		**A)

						_UpperCAmelCase			=       vocab_size
						_UpperCAmelCase			=       hidden_size
						_UpperCAmelCase			=       num_hidden_layers
						_UpperCAmelCase			=       num_attention_heads
						_UpperCAmelCase			=       hidden_act
						_UpperCAmelCase			=       intermediate_size
						_UpperCAmelCase			=       hidden_dropout_prob
						_UpperCAmelCase			=       attention_probs_dropout_prob
						_UpperCAmelCase			=       max_position_embeddings
						_UpperCAmelCase			=       type_vocab_size
						_UpperCAmelCase			=       initializer_range
						_UpperCAmelCase			=       layer_norm_eps
						_UpperCAmelCase			=       position_embedding_type
						_UpperCAmelCase			=       use_cache
						_UpperCAmelCase			=       classifier_dropout
						_UpperCAmelCase			=       pre_norm
						_UpperCAmelCase			=       adapter_reduction_factor
						_UpperCAmelCase			=       adapter_layer_norm
						_UpperCAmelCase			=       adapter_reuse_layer_norm
						_UpperCAmelCase			=       ln_before_adapter
						_UpperCAmelCase			=       list(A)
						_UpperCAmelCase			=       default_language







class       __lowerCAmelCase   (      A						):



			@property
			def    _lowerCamelCase	(						self       :  Optional[Any])       ->   Mapping[str, Mapping[int, str]]:



						"""simple docstring"""






						if self.task == "multiple-choice":
									_UpperCAmelCase			=       {0: 'batch', 1: 'choice', 2: 'sequence'}
						else:
									_UpperCAmelCase			=       {0: 'batch', 1: 'sequence'}
						return OrderedDict(
						    [
						        ('input_ids', dynamic_axis),
						        ('attention_mask', dynamic_axis),
						    ])
