






'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


A:      Optional[int]  				=				logging.get_logger(__name__)

A:      Optional[Any]  				=				{
    "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 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Optional[Any]        =  'xmod'
	def __init__(							self  ,      _lowercase=3_0522  ,      _lowercase=768  ,      _lowercase=12  ,      _lowercase=12  ,      _lowercase=3072  ,      _lowercase="gelu"  ,      _lowercase=0.1  ,      _lowercase=0.1  ,      _lowercase=512  ,      _lowercase=2  ,      _lowercase=0.02  ,      _lowercase=1E-1_2  ,      _lowercase=1  ,      _lowercase=0  ,      _lowercase=2  ,      _lowercase="absolute"  ,      _lowercase=True  ,      _lowercase=None  ,      _lowercase=False  ,      _lowercase=2  ,      _lowercase=False  ,      _lowercase=True  ,      _lowercase=True  ,      _lowercase=("en_XX",)  ,      _lowercase=None  ,      **_lowercase  ,      )						->  Dict:
							super().__init__(pad_token_id=_lowercase  ,      bos_token_id=_lowercase  ,      eos_token_id=_lowercase  ,      **_lowercase       )

							lowercase_      :   Dict        =			vocab_size
							lowercase_      :   int        =			hidden_size
							lowercase_      :   List[Any]        =			num_hidden_layers
							lowercase_      :   Optional[int]        =			num_attention_heads
							lowercase_      :   str        =			hidden_act
							lowercase_      :   List[Any]        =			intermediate_size
							lowercase_      :   Dict        =			hidden_dropout_prob
							lowercase_      :   str        =			attention_probs_dropout_prob
							lowercase_      :   Tuple        =			max_position_embeddings
							lowercase_      :   int        =			type_vocab_size
							lowercase_      :   List[Any]        =			initializer_range
							lowercase_      :   str        =			layer_norm_eps
							lowercase_      :   Optional[Any]        =			position_embedding_type
							lowercase_      :   Any        =			use_cache
							lowercase_      :   int        =			classifier_dropout
							lowercase_      :   Union[str, Any]        =			pre_norm
							lowercase_      :   str        =			adapter_reduction_factor
							lowercase_      :   List[Any]        =			adapter_layer_norm
							lowercase_      :   str        =			adapter_reuse_layer_norm
							lowercase_      :   str        =			ln_before_adapter
							lowercase_      :   Any        =			list(_lowercase       )
							lowercase_      :   Dict        =			default_language






class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	@property
	def        lowerCamelCase__		(							self       )						->  Mapping[str, Mapping[int, str]]:
							if self.task == "multiple-choice":
													lowercase_      :   List[str]        =			{0: 'batch', 1: 'choice', 2: 'sequence'}
							else:
													lowercase_      :   str        =			{0: 'batch', 1: 'sequence'}
							return OrderedDict(
							    [
							        ('input_ids', dynamic_axis),
							        ('attention_mask', dynamic_axis),
							    ]       )








'''simple docstring'''

def 	_UpperCAmelCase    (  a		:	list[list[float]]							)			->			list[list[float]]:





						"""simple docstring"""
						lowercase_      :   list[list[float]]        =			[]
						for data in source_data:
												for i, el in enumerate(a							):
																		if len(a							) < i + 1:
																								data_lists.append([]							)
																		data_lists[i].append(float(a							)							)
						return data_lists






def 	_UpperCAmelCase    (  a		:	list[list[float]]						,			a		:	list[int]							)			->			list[list[float]]:





						"""simple docstring"""
						lowercase_      :   list[list[float]]        =			[]
						for dlist, weight in zip(a						,			a							):
												lowercase_      :   Tuple        =			min(a							)
												lowercase_      :   Any        =			max(a							)

												lowercase_      :   list[float]        =			[]
												# for weight 0 score is 1 - actual score
												if weight == 0:
																		for item in dlist:
																								try:
																														score.append(1 - ((item - mind) / (maxd - mind))							)
																								except ZeroDivisionError:
																														score.append(1							)

												elif weight == 1:
																		for item in dlist:
																								try:
																														score.append((item - mind) / (maxd - mind)							)
																								except ZeroDivisionError:
																														score.append(0							)

        # weight not 0 or 1
												else:
																		lowercase_      :   str        =			f"Invalid weight of {weight:f} provided"
																		raise ValueError(a							)

												score_lists.append(a							)

						return score_lists






def 	_UpperCAmelCase    (  a		:	list[list[float]]							)			->			list[float]:





						"""simple docstring"""
						lowercase_      :   list[float]        =			[0 for i in range(len(score_lists[0]							)							)]

						for slist in score_lists:
												for j, ele in enumerate(a							):
																		lowercase_      :   List[Any]        =			final_scores[j] + ele

						return final_scores






def 	_UpperCAmelCase    (  a		:	list[list[float]]						,			a		:	list[int]							)			->			list[list[float]]:





						"""simple docstring"""
						lowercase_      :   int        =			get_data(a							)
						lowercase_      :   Optional[int]        =			calculate_each_score(a						,			a							)
						lowercase_      :   Dict        =			generate_final_scores(a							)

						# append scores to source data
						for i, ele in enumerate(a							):
												source_data[i].append(a							)

						return source_data
