




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				list[list[float]]:
						_UpperCAmelCase      =			[]
						for data in source_data:
												for i, el in enumerate(snake_case       ):
																		if len(snake_case       ) < i + 1:
																								data_lists.append([]       )
																		data_lists[i].append(float(snake_case       )       )
						return data_lists




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				list[list[float]]:
						_UpperCAmelCase      =			[]
						for dlist, weight in zip(snake_case			,     snake_case       ):
												_UpperCAmelCase      =			min(snake_case       )
												_UpperCAmelCase      =			max(snake_case       )

												_UpperCAmelCase      =			[]
												# 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:
																		_UpperCAmelCase      =			f"Invalid weight of {weight:f} provided"
																		raise ValueError(snake_case       )

												score_lists.append(snake_case       )

						return score_lists




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				list[float]:
						_UpperCAmelCase      =			[0 for i in range(len(score_lists[0]       )       )]

						for slist in score_lists:
												for j, ele in enumerate(snake_case       ):
																		_UpperCAmelCase      =			final_scores[j] + ele

						return final_scores




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				list[list[float]]:
						_UpperCAmelCase      =			get_data(snake_case       )
						_UpperCAmelCase      =			calculate_each_score(snake_case			,     snake_case       )
						_UpperCAmelCase      =			generate_final_scores(snake_case       )

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

						return source_data





import jax.numpy as jnp

from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig


a													=			logging.get_logger(__name__)

a													=			"T5Config"




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case       )						->				jnp.ndarray:
						_UpperCAmelCase      =			jnp.zeros_like(snake_case       )
						_UpperCAmelCase      =			shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]       )
						_UpperCAmelCase      =			shifted_input_ids.at[:, 0].set(snake_case       )

						_UpperCAmelCase      =			jnp.where(shifted_input_ids == -1_0_0			,     snake_case			,     snake_case       )
						return shifted_input_ids




class       _A				(		__lowercase     ):
		__a					    =       """mt5"""
		__a					    =       MTaConfig




class       _A				(		__lowercase     ):
		__a					    =       """mt5"""
		__a					    =       MTaConfig




class       _A				(		__lowercase     ):
		__a					    =       """mt5"""
		__a					    =       MTaConfig