






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

class        _UpperCamelCase				(					__lowerCamelCase  ):






			'''simple docstring'''

			__UpperCamelCase      :						Optional[Any]					      = '''encoder-decoder'''
			__UpperCamelCase      :						int					      = True

			def __init__(       self :       List[str]						,	**snake_case_ :       str      ):
							super().__init__(**a_      )
							assert (
							    "encoder" in kwargs and "decoder" in kwargs
							), "Config has to be initialized with encoder and decoder config"
							UpperCamelCase_:							Tuple	=						kwargs.pop("""encoder"""      )
							UpperCamelCase_:							List[str]	=						encoder_config.pop("""model_type"""      )
							UpperCamelCase_:							List[Any]	=						kwargs.pop("""decoder"""      )
							UpperCamelCase_:							List[str]	=						decoder_config.pop("""model_type"""      )

							from ..auto.configuration_auto import AutoConfig

							UpperCamelCase_:							Tuple	=						AutoConfig.for_model(a_						,	**a_      )
							UpperCamelCase_:							Optional[int]	=						AutoConfig.for_model(a_						,	**a_      )
							UpperCamelCase_:							List[Any]	=						True

			@classmethod
			def       lowerCAmelCase__	(       cls :       Optional[int]						,	snake_case_ :       Dict						,	snake_case_ :       List[Any]						,	**snake_case_ :       str      ):
							logger.info("""Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""      )
							UpperCamelCase_:							Dict	=						True
							UpperCamelCase_:							Optional[int]	=						True

							return cls(encoder=encoder_config.to_dict()						,	decoder=decoder_config.to_dict()						,	**a_      )




			def       lowerCAmelCase__	(       self :       str      ):
							UpperCamelCase_:							int	=						copy.deepcopy(self.__dict__      )
							UpperCamelCase_:							str	=						self.encoder.to_dict()
							UpperCamelCase_:							Any	=						self.decoder.to_dict()
							UpperCamelCase_:							List[Any]	=						self.__class__.model_type
							return output








import inspect
import os
import sys
import unittest

import accelerate
from accelerate.test_utils import execute_subprocess_async, require_tpu

class        _UpperCamelCase				(					unittest.TestCase  ):






			'''simple docstring'''

			def       lowerCAmelCase__	(       self :       Optional[int]      ):
							UpperCamelCase_:							List[Any]	=						inspect.getfile(accelerate.test_utils      )
							UpperCamelCase_:							List[str]	=						os.path.sep.join(mod_file.split(os.path.sep      )[:-1] + ["""scripts""", """test_script.py"""]      )
							UpperCamelCase_:							str	=						os.path.sep.join(inspect.getfile(self.__class__      ).split(os.path.sep      )[:-1]      )




			@require_tpu
			def       lowerCAmelCase__	(       self :       Optional[int]      ):
							UpperCamelCase_:							Any	=						f'''
            {self.test_dir}/xla_spawn.py
            --num_cores 8
            {self.test_file_path}
        '''.split()
							UpperCamelCase_:							Dict	=						[sys.executable] + distributed_args
							execute_subprocess_async(snake_case_						,	env=os.environ.copy()      )






