




from __future__ import annotations




class       _A				:






		def __init__(    self						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE			):
								_UpperCAmelCase      =			text, pattern
								_UpperCAmelCase      =			len(_UpperCAmelCase			), len(_UpperCAmelCase			)






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE			):

								for i in range(self.patLen - 1						,		-1						,		-1			):
														if char == self.pattern[i]:
																				return i
								return -1






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE			):

								for i in range(self.patLen - 1						,		-1						,		-1			):
														if self.pattern[i] != self.text[current_pos + i]:
																				return current_pos + i
								return -1






		def 				UpperCAmelCase (    self			):
								# searches pattern in text and returns index positions
								_UpperCAmelCase      =			[]
								for i in range(self.textLen - self.patLen + 1			):
														_UpperCAmelCase      =			self.mismatch_in_text(_UpperCAmelCase			)
														if mismatch_index == -1:
																				positions.append(_UpperCAmelCase			)
														else:
																				_UpperCAmelCase      =			self.match_in_pattern(self.text[mismatch_index]			)
																				_UpperCAmelCase      =			(
																				    mismatch_index - match_index
																				)  # shifting index lgtm [py/multiple-definition]
								return positions



a													=			"ABAABA"
a													=			"AB"
a													=			BoyerMooreSearch(text, pattern)
a													=			bms.bad_character_heuristic()

if len(positions) == 0:
				print("No match found")
else:
				print("Pattern found in following positions: ")
				print(positions)





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