





'''simple docstring'''

import jax.numpy as jnp

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


__lowerCAmelCase							:	Any			=logging.get_logger(__name__)

__lowerCAmelCase							:	Optional[int]			="T5Config"





def 						UpperCamelCase				(							_lowerCamelCase					:					jnp.array						,       _lowerCamelCase					:					int						,       _lowerCamelCase					:					int       ):
    A__				=			jnp.zeros_like(_lowerCamelCase       )
    A__				=			shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]       )
    A__				=			shifted_input_ids.at[:, 0].set(_lowerCamelCase       )

    A__				=			jnp.where(shifted_input_ids == -1_00						,       _lowerCamelCase						,       _lowerCamelCase       )
    return shifted_input_ids






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				"""mt5"""
 __lowercase   		=				MTaConfig






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				"""mt5"""
 __lowercase   		=				MTaConfig






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				"""mt5"""
 __lowercase   		=				MTaConfig










'''simple docstring'''

import functools





def 						UpperCamelCase				(							_lowerCamelCase					:					str						,       _lowerCamelCase					:					str       ):
    A__				=			len(_lowerCamelCase       )
    A__				=			len(_lowerCamelCase       )

    @functools.cache
    def min_distance(_lowerCamelCase					:					int						,       _lowerCamelCase					:					int       ) -> int:
        # if first word index is overflow - delete all from the second word
        if indexa >= len_worda:
            return len_worda - indexa
        # if second word index is overflow - delete all from the first word
        if indexa >= len_worda:
            return len_worda - indexa
        A__				=			int(worda[indexa] != worda[indexa]       )  # current letters not identical
        return min(
            1 + min_distance(indexa + 1						,       _lowerCamelCase       )						,       1 + min_distance(_lowerCamelCase						,       indexa + 1       )						,       diff + min_distance(indexa + 1						,       indexa + 1       )						,       )

    return min_distance(0						,       0       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()



