




from __future__ import annotations




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				bool:
						if len(snake_case       ) == 0:
												return False
						_UpperCAmelCase      =			len(snake_case       ) // 2
						if a_list[midpoint] == item:
												return True
						if item < a_list[midpoint]:
												return binary_search(a_list[:midpoint]			,     snake_case       )
						else:
												return binary_search(a_list[midpoint + 1 :]			,     snake_case       )


if __name__ == "__main__":
				a													=			input("Enter numbers separated by comma:\n").strip()
				a													=			[int(item.strip()) for item in user_input.split(",")]
				a													=			int(input("Enter the number to be found in the list:\n").strip())
				a													=			"" if binary_search(sequence, target) else "not "
				print(F'{target} was {not_str}found in {sequence}')





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