






import jax.numpy as jnp

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


UpperCAmelCase_ :						Dict      =      logging.get_logger(__name__)

UpperCAmelCase_ :						Dict      =      '''T5Config'''

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  jnp.array	,			__magic_name__					:  int	,			__magic_name__					:  int					)		->			jnp.ndarray:






	"""simple docstring"""



	UpperCamelCase     :List[str]          =	jnp.zeros_like(__magic_name__					)
	UpperCamelCase     :str          =	shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]					)
	UpperCamelCase     :Tuple          =	shifted_input_ids.at[:, 0].set(__magic_name__					)

	UpperCamelCase     :int          =	jnp.where(shifted_input_ids == -100	,			__magic_name__	,			__magic_name__					)
	return shifted_input_ids

class     _SCREAMING_SNAKE_CASE       (			_a      ):
	snake_case__							:     List[Any]     	=  """mt5"""
	snake_case__							:     Optional[Any]     	=  MTaConfig

class     _SCREAMING_SNAKE_CASE       (			_a      ):
	snake_case__							:     Optional[int]     	=  """mt5"""
	snake_case__							:     Any     	=  MTaConfig

class     _SCREAMING_SNAKE_CASE       (			_a      ):
	snake_case__							:     Optional[Any]     	=  """mt5"""
	snake_case__							:     List[Any]     	=  MTaConfig


def 				a						(							snake_case__:					list						,   snake_case__:					list						,   snake_case__:					int						,   snake_case__:					int						,   snake_case__:					int					):


				'''simple docstring'''
				if index == number_of_items:
								return 0
				lowercase_       =					0
				lowercase_       =					0
				lowercase_       =					knapsack(snake_case__						,   snake_case__						,   snake_case__						,   snake_case__						,   index + 1					)
				if weights[index] <= max_weight:
								lowercase_       =					values[index] + knapsack(
								    snake_case__						,   snake_case__						,   snake_case__						,   max_weight - weights[index]						,   index + 1					)
				return max(snake_case__						,   snake_case__					)


if __name__ == "__main__":
						import doctest

						doctest.testmod()




