


import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


UpperCAmelCase_      : List[str]  					=       'scheduler_config.json'
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     Optional[Any]        =						1
      snake_case__				:     Tuple        =						2
      snake_case__				:     List[str]        =						3
      snake_case__				:     int        =						4
      snake_case__				:     str        =						5
      snake_case__				:     Tuple        =						6
      snake_case__				:     Optional[Any]        =						7
      snake_case__				:     Optional[Any]        =						8
      snake_case__				:     Optional[Any]        =						9
      snake_case__				:     Tuple        =						10
      snake_case__				:     Union[str, Any]        =						11
      snake_case__				:     List[Any]        =						12
      snake_case__				:     Optional[int]        =						13
      snake_case__				:     List[str]        =						14
@dataclass
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     torch.FloatTensor
class  SCREAMING_SNAKE_CASE__  :
      snake_case__				:     Optional[Any]        =						SCHEDULER_CONFIG_NAME
      snake_case__				:     Union[str, Any]        =						[]
      snake_case__				:     str        =						True
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Optional[int]     ,							SCREAMING_SNAKE_CASE__				:       Dict[str, Any] = None     ,							SCREAMING_SNAKE_CASE__				:       Optional[str] = None     ,							SCREAMING_SNAKE_CASE__				:       List[Any]=False     ,							**SCREAMING_SNAKE_CASE__				:       Optional[int]     ,							)		->			Optional[int]:
             a_							,		a_							,		a_					:		Optional[Any]							=  cls.load_config(
                 pretrained_model_name_or_path=SCREAMING_SNAKE_CASE__     ,							subfolder=SCREAMING_SNAKE_CASE__     ,							return_unused_kwargs=SCREAMING_SNAKE_CASE__     ,							return_commit_hash=SCREAMING_SNAKE_CASE__     ,							**SCREAMING_SNAKE_CASE__     ,							)
             return cls.from_config(SCREAMING_SNAKE_CASE__     ,							return_unused_kwargs=SCREAMING_SNAKE_CASE__     ,							**SCREAMING_SNAKE_CASE__     )
      def        SCREAMING_SNAKE_CASE							(       self				:       Any     ,							SCREAMING_SNAKE_CASE__				:       Union[str, os.PathLike]     ,							SCREAMING_SNAKE_CASE__				:       bool = False     ,							**SCREAMING_SNAKE_CASE__				:       Optional[int]     )		->			Optional[Any]:
             self.save_config(save_directory=SCREAMING_SNAKE_CASE__     ,							push_to_hub=SCREAMING_SNAKE_CASE__     ,							**SCREAMING_SNAKE_CASE__     )
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       Dict     )		->			List[str]:
             return self._get_compatibles()

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Dict     )		->			Optional[Any]:
             a_					:		int							=  list(set([cls.__name__] + cls._compatibles     )     )
             a_					:		Tuple							=  importlib.import_module(__name__.split('.'     )[0]     )
             a_					:		List[str]							=  [
                 getattr(SCREAMING_SNAKE_CASE__     ,							SCREAMING_SNAKE_CASE__     ) for c in compatible_classes_str if hasattr(SCREAMING_SNAKE_CASE__     ,							SCREAMING_SNAKE_CASE__     )
             ]
             return compatible_classes






import jax.numpy as jnp

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


UpperCAmelCase_      : Optional[Any]  					=       logging.get_logger(__name__)

UpperCAmelCase_      : str  					=       'T5Config'







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

       """simple docstring"""

       a_					:		Dict							=  jnp.zeros_like(__A				)
       a_					:		Dict							=  shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]				)
       a_					:		str							=  shifted_input_ids.at[:, 0].set(__A				)

       a_					:		int							=  jnp.where(shifted_input_ids == -1_00  ,    __A  ,    __A				)
       return shifted_input_ids
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     str        =						'''mt5'''
      snake_case__				:     List[Any]        =						MTaConfig
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     str        =						'''mt5'''
      snake_case__				:     List[str]        =						MTaConfig
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     Any        =						'''mt5'''
      snake_case__				:     Union[str, Any]        =						MTaConfig


