





"""simple docstring"""





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


_lowerCamelCase       =	logging.get_logger(__name__)





class 			snake_case		(   __UpperCAmelCase   ):
      lowerCamelCase__						= '''speech-encoder-decoder'''
      lowerCamelCase__						= True

      def __init__(			self   :str						,							**_lowerCamelCase   :Optional[int]						):
       super().__init__(**_lowerCamelCase						)
       if "encoder" not in kwargs or "decoder" not in kwargs:
        raise ValueError(
            f'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
            f''' `decoder` sub-configurations are passed, but only {kwargs}'''						)

       __SCREAMING_SNAKE_CASE :			Union[str, Any]												=       kwargs.pop('''encoder'''						)
       __SCREAMING_SNAKE_CASE :			Dict												=       encoder_config.pop('''model_type'''						)
       __SCREAMING_SNAKE_CASE :			Optional[int]												=       kwargs.pop('''decoder'''						)
       __SCREAMING_SNAKE_CASE :			Union[str, Any]												=       decoder_config.pop('''model_type'''						)

       __SCREAMING_SNAKE_CASE :			List[Any]												=       AutoConfig.for_model(_lowerCamelCase						,							**_lowerCamelCase						)
       __SCREAMING_SNAKE_CASE :			Union[str, Any]												=       AutoConfig.for_model(_lowerCamelCase						,							**_lowerCamelCase						)
       __SCREAMING_SNAKE_CASE :			List[str]												=       True

      @classmethod
      def 						SCREAMING_SNAKE_CASE_			(			cls   :int						,							_lowerCamelCase   :PretrainedConfig						,							_lowerCamelCase   :PretrainedConfig						,							**_lowerCamelCase   :List[str]						):
       logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''						)
       __SCREAMING_SNAKE_CASE :			Tuple												=       True
       __SCREAMING_SNAKE_CASE :			List[str]												=       True

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



      def 						SCREAMING_SNAKE_CASE_			(			self   :Union[str, Any]						):
       __SCREAMING_SNAKE_CASE :			List[str]												=       copy.deepcopy(self.__dict__						)
       __SCREAMING_SNAKE_CASE :			Any												=       self.encoder.to_dict()
       __SCREAMING_SNAKE_CASE :			List[Any]												=       self.decoder.to_dict()
       __SCREAMING_SNAKE_CASE :			List[Any]												=       self.__class__.model_type
       return output






"""simple docstring"""







import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils





class    UpperCamelCase     (			unittest.TestCase    ):




	"""simple docstring"""






	@patch("""diffusers.utils.hub_utils.get_full_repo_name"""					)
	def 					lowerCamelCase__ (			self							,UpperCAmelCase_					):
			_lowercase							:      List[Any]			=					"""full_repo_name"""
			with TemporaryDirectory() as tmpdir:
					# Dummy args values
					_lowercase							:      Optional[Any]			=					Mock()
					_lowercase							:      int			=					tmpdir
					_lowercase							:      int			=					0
					_lowercase							:      Optional[Any]			=					"""hub_token"""
					_lowercase							:      Optional[Any]			=					"""dataset_name"""
					_lowercase							:      List[Any]			=					0.01
					_lowercase							:      Tuple			=					10_00_00
					_lowercase							:      Optional[Any]			=					1_00_00
					_lowercase							:      Optional[int]			=					0.01
					_lowercase							:      Tuple			=					0.02
					_lowercase							:      int			=					0.03
					_lowercase							:      Optional[int]			=					0.0005
					_lowercase							:      Tuple			=					0.000001
					_lowercase							:      int			=					1
					_lowercase							:      List[str]			=					10
					_lowercase							:      Optional[Any]			=					0.001
					_lowercase							:      int			=					0.1
					_lowercase							:      Optional[Any]			=					0.2
					_lowercase							:      Tuple			=					True

					# Model card mush be rendered and saved
					diffusers.utils.hub_utils.create_model_card(UpperCAmelCase_							,model_name="""model_name"""					)
					self.assertTrue((Path(UpperCAmelCase_					) / """README.md""").is_file()					)



