






'''simple docstring'''

from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
						from .features import FeatureType






@dataclass
class 							__magic_name__     :







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      List[str]
	SCREAMING_SNAKE_CASE_					:      Optional[str]        =  None
	# Automatically constructed
	SCREAMING_SNAKE_CASE_					:      ClassVar[str]        =  "dict"
	SCREAMING_SNAKE_CASE_					:      ClassVar[Any]        =  None
	SCREAMING_SNAKE_CASE_					:      str        =  field(default='Translation',						init=UpperCAmelCase_,						repr=UpperCAmelCase_				)
	def __call__(							self       )						->  str:
							return pa.struct({lang: pa.string() for lang in sorted(self.languages       )}       )







	def        lowerCamelCase__		(							self       )						->  Union["FeatureType", Dict[str, "FeatureType"]]:
							from .features import Value

							return {k: Value('string'       ) for k in sorted(self.languages       )}






@dataclass
class 							__magic_name__     :







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Optional[List]        =  None
	SCREAMING_SNAKE_CASE_					:      Optional[int]        =  None
	SCREAMING_SNAKE_CASE_					:      Optional[str]        =  None
	# Automatically constructed
	SCREAMING_SNAKE_CASE_					:      ClassVar[str]        =  "dict"
	SCREAMING_SNAKE_CASE_					:      ClassVar[Any]        =  None
	SCREAMING_SNAKE_CASE_					:      str        =  field(default='TranslationVariableLanguages',						init=UpperCAmelCase_,						repr=UpperCAmelCase_				)
	def        lowerCamelCase__		(							self       )						->  List[Any]:
							lowercase_      :   Union[str, Any]        =			sorted(set(self.languages       )       ) if self.languages else None
							lowercase_      :   str        =			len(self.languages       ) if self.languages else None
	def __call__(							self       )						->  Union[str, Any]:
							return pa.struct({'language': pa.list_(pa.string()       ), 'translation': pa.list_(pa.string()       )}       )
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Union[str, Any]:
							lowercase_      :   Union[str, Any]        =			set(self.languages       )
							if self.languages and set(_lowercase       ) - lang_set:
													raise ValueError(
													    f"Some languages in example ({', '.join(sorted(set(_lowercase       ) - lang_set       )       )}) are not in valid set ({', '.join(_lowercase       )})."       )

							# Convert dictionary into tuples, splitting out cases where there are
							# multiple translations for a single language.
							lowercase_      :   List[Any]        =			[]
							for lang, text in translation_dict.items():
													if isinstance(_lowercase  ,      _lowercase       ):
																			translation_tuples.append((lang, text)       )
													else:
																			translation_tuples.extend([(lang, el) for el in text]       )

        # Ensure translations are in ascending order by language code.
							lowercase_      :   int        =			zip(*sorted(_lowercase       )       )

							return {"language": languages, "translation": translations}







	def        lowerCamelCase__		(							self       )						->  Union["FeatureType", Dict[str, "FeatureType"]]:
							from .features import Sequence, Value

							return {
							    "language": Sequence(Value('string'       )       ),
							    "translation": Sequence(Value('string'       )       ),
							}








'''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
