




from graphs.minimum_spanning_tree_kruskal import kruskal




def        _SCREAMING_SNAKE_CASE      (		)						->				Optional[Any]:
						_UpperCAmelCase      =			9
						_UpperCAmelCase      =			[
						    [0, 1, 4],
						    [0, 7, 8],
						    [1, 2, 8],
						    [7, 8, 7],
						    [7, 6, 1],
						    [2, 8, 2],
						    [8, 6, 6],
						    [2, 3, 7],
						    [2, 5, 4],
						    [6, 5, 2],
						    [3, 5, 1_4],
						    [3, 4, 9],
						    [5, 4, 1_0],
						    [1, 7, 1_1],
						]

						_UpperCAmelCase      =			kruskal(snake_case			,     snake_case       )

						_UpperCAmelCase      =			[
						    [7, 6, 1],
						    [2, 8, 2],
						    [6, 5, 2],
						    [0, 1, 4],
						    [2, 5, 4],
						    [2, 3, 7],
						    [0, 7, 8],
						    [3, 4, 9],
						]

						assert sorted(snake_case       ) == sorted(snake_case       )





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