





import unittest

from diffusers.models.unet_ad_blocks import *  # noqa F403
from diffusers.utils import torch_device

from .test_unet_blocks_common import UNetBlockTesterMixin





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     DownBlockaD  # noqa F405
  __lowerCamelCase						=     'down'







  def     UpperCAmelCase	(     self    :str   ):






     '''simple docstring'''





     lowercase__					  =    [-0.0232, -0.9869, 0.8054, -0.0637, -0.1688, -1.4264, 0.4470, -1.3394, 0.0904]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     ResnetDownsampleBlockaD  # noqa F405
  __lowerCamelCase						=     'down'







  def     UpperCAmelCase	(     self    :Dict   ):






     '''simple docstring'''





     lowercase__					  =    [0.0710, 0.2410, -0.7320, -1.0757, -1.1343, 0.3540, -0.0133, -0.2576, 0.0948]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     AttnDownBlockaD  # noqa F405
  __lowerCamelCase						=     'down'







  def     UpperCAmelCase	(     self    :Dict   ):






     '''simple docstring'''





     lowercase__					  =    [0.0636, 0.8964, -0.6234, -1.0131, 0.0844, 0.4935, 0.3437, 0.0911, -0.2957]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     CrossAttnDownBlockaD  # noqa F405
  __lowerCamelCase						=     'down'







  def     UpperCAmelCase	(     self    :int   ):






     '''simple docstring'''





     lowercase__  ,				lowercase__					  =    super().prepare_init_args_and_inputs_for_common()
     lowercase__					  =    32
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :Optional[Any]   ):






     '''simple docstring'''





     lowercase__					  =    [0.2238, -0.7396, -0.2255, -0.3829, 0.1925, 1.1665, 0.0603, -0.7295, 0.1983]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     SimpleCrossAttnDownBlockaD  # noqa F405
  __lowerCamelCase						=     'down'







  @property
  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     return super().get_dummy_input(include_encoder_hidden_states=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     lowercase__  ,				lowercase__					  =    super().prepare_init_args_and_inputs_for_common()
     lowercase__					  =    32
     return init_dict, inputs_dict







  @unittest.skipIf(torch_device == "mps"       ,				"MPS result is not consistent"   )
  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     lowercase__					  =    [0.7921, -0.0992, -0.1962, -0.7695, -0.4242, 0.7804, 0.4737, 0.2765, 0.3338]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     SkipDownBlockaD  # noqa F405
  __lowerCamelCase						=     'down'







  @property
  def     UpperCAmelCase	(     self    :Union[str, Any]   ):






     '''simple docstring'''





     return super().get_dummy_input(include_skip_sample=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Dict   ):






     '''simple docstring'''





     lowercase__					  =    [-0.0845, -0.2087, -0.2465, 0.0971, 0.1900, -0.0484, 0.2664, 0.4179, 0.5069]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     AttnSkipDownBlockaD  # noqa F405
  __lowerCamelCase						=     'down'







  @property
  def     UpperCAmelCase	(     self    :Optional[Any]   ):






     '''simple docstring'''





     return super().get_dummy_input(include_skip_sample=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Optional[int]   ):






     '''simple docstring'''





     lowercase__					  =    [0.5539, 0.1609, 0.4924, 0.0537, -0.1995, 0.4050, 0.0979, -0.2721, -0.0642]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     DownEncoderBlockaD  # noqa F405
  __lowerCamelCase						=     'down'







  @property
  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Optional[int]   ):






     '''simple docstring'''





     lowercase__					  =    {
         "in_channels": 32,
         "out_channels": 32,
     }
     lowercase__					  =    self.dummy_input
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :Optional[int]   ):






     '''simple docstring'''





     lowercase__					  =    [1.1102, 0.5302, 0.4872, -0.0023, -0.8042, 0.0483, -0.3489, -0.5632, 0.7626]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     AttnDownEncoderBlockaD  # noqa F405
  __lowerCamelCase						=     'down'







  @property
  def     UpperCAmelCase	(     self    :int   ):






     '''simple docstring'''





     return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Tuple   ):






     '''simple docstring'''





     lowercase__					  =    {
         "in_channels": 32,
         "out_channels": 32,
     }
     lowercase__					  =    self.dummy_input
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :Any   ):






     '''simple docstring'''





     lowercase__					  =    [0.8966, -0.1486, 0.8568, 0.8141, -0.9046, -0.1342, -0.0972, -0.7417, 0.1538]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     UNetMidBlockaD  # noqa F405
  __lowerCamelCase						=     'mid'







  def     UpperCAmelCase	(     self    :int   ):






     '''simple docstring'''





     lowercase__					  =    {
         "in_channels": 32,
         "temb_channels": 1_28,
     }
     lowercase__					  =    self.dummy_input
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :Tuple   ):






     '''simple docstring'''





     lowercase__					  =    [-0.1062, 1.7248, 0.3494, 1.4569, -0.0910, -1.2421, -0.9984, 0.6736, 1.0028]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     UNetMidBlockaDCrossAttn  # noqa F405
  __lowerCamelCase						=     'mid'







  def     UpperCAmelCase	(     self    :Optional[int]   ):






     '''simple docstring'''





     lowercase__  ,				lowercase__					  =    super().prepare_init_args_and_inputs_for_common()
     lowercase__					  =    32
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :Optional[Any]   ):






     '''simple docstring'''





     lowercase__					  =    [0.0187, 2.4220, 0.4484, 1.1203, -0.6121, -1.5122, -0.8270, 0.7851, 1.8335]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     UNetMidBlockaDSimpleCrossAttn  # noqa F405
  __lowerCamelCase						=     'mid'







  @property
  def     UpperCAmelCase	(     self    :Any   ):






     '''simple docstring'''





     return super().get_dummy_input(include_encoder_hidden_states=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Optional[int]   ):






     '''simple docstring'''





     lowercase__  ,				lowercase__					  =    super().prepare_init_args_and_inputs_for_common()
     lowercase__					  =    32
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :Tuple   ):






     '''simple docstring'''





     lowercase__					  =    [0.7143, 1.9974, 0.5448, 1.3977, 0.1282, -1.1237, -1.4238, 0.5530, 0.8880]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     UpBlockaD  # noqa F405
  __lowerCamelCase						=     'up'







  @property
  def     UpperCAmelCase	(     self    :List[Any]   ):






     '''simple docstring'''





     return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Dict   ):






     '''simple docstring'''





     lowercase__					  =    [-0.2041, -0.4165, -0.3022, 0.0041, -0.6628, -0.7053, 0.1928, -0.0325, 0.0523]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     ResnetUpsampleBlockaD  # noqa F405
  __lowerCamelCase						=     'up'







  @property
  def     UpperCAmelCase	(     self    :List[Any]   ):






     '''simple docstring'''





     return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Optional[Any]   ):






     '''simple docstring'''





     lowercase__					  =    [0.2287, 0.3549, -0.1346, 0.4797, -0.1715, -0.9649, 0.7305, -0.5864, -0.6244]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     CrossAttnUpBlockaD  # noqa F405
  __lowerCamelCase						=     'up'







  @property
  def     UpperCAmelCase	(     self    :Any   ):






     '''simple docstring'''





     return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Tuple   ):






     '''simple docstring'''





     lowercase__  ,				lowercase__					  =    super().prepare_init_args_and_inputs_for_common()
     lowercase__					  =    32
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     lowercase__					  =    [-0.1403, -0.3515, -0.0420, -0.1425, 0.3167, 0.5094, -0.2181, 0.5931, 0.5582]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     SimpleCrossAttnUpBlockaD  # noqa F405
  __lowerCamelCase						=     'up'







  @property
  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_       ,				include_encoder_hidden_states=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Optional[Any]   ):






     '''simple docstring'''





     lowercase__  ,				lowercase__					  =    super().prepare_init_args_and_inputs_for_common()
     lowercase__					  =    32
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     lowercase__					  =    [0.2645, 0.1480, 0.0909, 0.8044, -0.9758, -0.9083, 0.0994, -1.1453, -0.7402]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     AttnUpBlockaD  # noqa F405
  __lowerCamelCase						=     'up'







  @property
  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_   )







  @unittest.skipIf(torch_device == "mps"       ,				"MPS result is not consistent"   )
  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     lowercase__					  =    [0.0979, 0.1326, 0.0021, 0.0659, 0.2249, 0.0059, 0.1132, 0.5952, 0.1033]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     SkipUpBlockaD  # noqa F405
  __lowerCamelCase						=     'up'







  @property
  def     UpperCAmelCase	(     self    :int   ):






     '''simple docstring'''





     return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Tuple   ):






     '''simple docstring'''





     lowercase__					  =    [-0.0893, -0.1234, -0.1506, -0.0332, 0.0123, -0.0211, 0.0566, 0.0143, 0.0362]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     AttnSkipUpBlockaD  # noqa F405
  __lowerCamelCase						=     'up'







  @property
  def     UpperCAmelCase	(     self    :Optional[Any]   ):






     '''simple docstring'''





     return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     lowercase__					  =    [0.0361, 0.0617, 0.2787, -0.0350, 0.0342, 0.3421, -0.0843, 0.0913, 0.3015]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     UpDecoderBlockaD  # noqa F405
  __lowerCamelCase						=     'up'







  @property
  def     UpperCAmelCase	(     self    :Dict   ):






     '''simple docstring'''





     return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     lowercase__					  =    {"in_channels": 32, "out_channels": 32}

     lowercase__					  =    self.dummy_input
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :List[str]   ):






     '''simple docstring'''





     lowercase__					  =    [0.4404, 0.1998, -0.9886, -0.3320, -0.3128, -0.7034, -0.6955, -0.2338, -0.3137]
     super().test_output(SCREAMING_SNAKE_CASE_   )





class    lowerCAmelCase				(  __lowercase				,				unittest.TestCase   ):
  __lowerCamelCase						=     AttnUpDecoderBlockaD  # noqa F405
  __lowerCamelCase						=     'up'







  @property
  def     UpperCAmelCase	(     self    :int   ):






     '''simple docstring'''





     return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_   )







  def     UpperCAmelCase	(     self    :Union[str, Any]   ):






     '''simple docstring'''





     lowercase__					  =    {"in_channels": 32, "out_channels": 32}

     lowercase__					  =    self.dummy_input
     return init_dict, inputs_dict







  def     UpperCAmelCase	(     self    :Dict   ):






     '''simple docstring'''





     lowercase__					  =    [0.6738, 0.4491, 0.1055, 1.0710, 0.7316, 0.3339, 0.3352, 0.1023, 0.3568]
     super().test_output(SCREAMING_SNAKE_CASE_   )








"""simple docstring"""




import copy

from ...configuration_utils import PretrainedConfig
from ...utils import add_start_docstrings


lowerCAmelCase__				=					r'\n    [`RagConfig`] stores the configuration of a *RagModel*. Configuration objects inherit from [`PretrainedConfig`] and\n    can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information.\n\n    Args:\n        title_sep (`str`, *optional*, defaults to  `" / "`):\n            Separator inserted between the title and the text of the retrieved document when calling [`RagRetriever`].\n        doc_sep (`str`, *optional*, defaults to  `" // "`):\n            Separator inserted between the text of the retrieved document and the original input when calling\n            [`RagRetriever`].\n        n_docs (`int`, *optional*, defaults to 5):\n            Number of documents to retrieve.\n        max_combined_length (`int`, *optional*, defaults to 300):\n            Max length of contextualized input returned by [`~RagRetriever.__call__`].\n        retrieval_vector_size (`int`, *optional*, defaults to 768):\n            Dimensionality of the document embeddings indexed by [`RagRetriever`].\n        retrieval_batch_size (`int`, *optional*, defaults to 8):\n            Retrieval batch size, defined as the number of queries issues concurrently to the faiss index encapsulated\n            [`RagRetriever`].\n        dataset (`str`, *optional*, defaults to `"wiki_dpr"`):\n            A dataset identifier of the indexed dataset in HuggingFace Datasets (list all available datasets and ids\n            using `datasets.list_datasets()`).\n        dataset_split (`str`, *optional*, defaults to `"train"`)\n            Which split of the `dataset` to load.\n        index_name (`str`, *optional*, defaults to `"compressed"`)\n            The index name of the index associated with the `dataset`. One can choose between `"legacy"`, `"exact"` and\n            `"compressed"`.\n        index_path (`str`, *optional*)\n            The path to the serialized faiss index on disk.\n        passages_path (`str`, *optional*):\n            A path to text passages compatible with the faiss index. Required if using\n            [`~models.rag.retrieval_rag.LegacyIndex`]\n        use_dummy_dataset (`bool`, *optional*, defaults to `False`)\n            Whether to load a "dummy" variant of the dataset specified by `dataset`.\n        label_smoothing (`float`, *optional*, defaults to 0.0):\n            Only relevant if `return_loss` is set to `True`. Controls the `epsilon` parameter value for label smoothing\n            in the loss calculation. If set to 0, no label smoothing is performed.\n        do_marginalize (`bool`, *optional*, defaults to `False`):\n            If `True`, the logits are marginalized over all documents by making use of\n            `torch.nn.functional.log_softmax`.\n        reduce_loss (`bool`, *optional*, defaults to `False`):\n            Whether or not to reduce the NLL loss using the `torch.Tensor.sum` operation.\n        do_deduplication (`bool`, *optional*, defaults to `True`):\n            Whether or not to deduplicate the generations from different context documents for a given input. Has to be\n            set to `False` if used while training with distributed backend.\n        exclude_bos_score (`bool`, *optional*, defaults to `False`):\n            Whether or not to disregard the BOS token when computing the loss.\n        output_retrieved(`bool`, *optional*, defaults to `False`):\n            If set to `True`, `retrieved_doc_embeds`, `retrieved_doc_ids`, `context_input_ids` and\n            `context_attention_mask` are returned. See returned tensors for more detail.\n        use_cache (`bool`, *optional*, defaults to `True`):\n            Whether or not the model should return the last key/values attentions (not used by all models).\n        forced_eos_token_id (`int`, *optional*):\n            The id of the token to force as the last generated token when `max_length` is reached. Usually set to\n            `eos_token_id`.\n'





@add_start_docstrings(__lowercase )
class 			snake_case  (				__lowercase ):
							UpperCAmelCase__      =   '''rag'''
							UpperCAmelCase__      =   True

							def __init__(self							,							SCREAMING_SNAKE_CASE_=None							,							SCREAMING_SNAKE_CASE_=True							,							SCREAMING_SNAKE_CASE_=None							,							SCREAMING_SNAKE_CASE_=None							,							SCREAMING_SNAKE_CASE_=None							,							SCREAMING_SNAKE_CASE_=None							,							SCREAMING_SNAKE_CASE_=None							,							SCREAMING_SNAKE_CASE_=" / "							,							SCREAMING_SNAKE_CASE_=" // "							,							SCREAMING_SNAKE_CASE_=5							,							SCREAMING_SNAKE_CASE_=3_00							,							SCREAMING_SNAKE_CASE_=7_68							,							SCREAMING_SNAKE_CASE_=8							,							SCREAMING_SNAKE_CASE_="wiki_dpr"							,							SCREAMING_SNAKE_CASE_="train"							,							SCREAMING_SNAKE_CASE_="compressed"							,							SCREAMING_SNAKE_CASE_=None							,							SCREAMING_SNAKE_CASE_=None							,							SCREAMING_SNAKE_CASE_=False							,							SCREAMING_SNAKE_CASE_=False							,							SCREAMING_SNAKE_CASE_=0.0							,							SCREAMING_SNAKE_CASE_=True							,							SCREAMING_SNAKE_CASE_=False							,							SCREAMING_SNAKE_CASE_=False							,							SCREAMING_SNAKE_CASE_=False							,							SCREAMING_SNAKE_CASE_=True							,							SCREAMING_SNAKE_CASE_=None							,							**SCREAMING_SNAKE_CASE_							,							):

									"""simple docstring"""







									super().__init__(
									    bos_token_id=SCREAMING_SNAKE_CASE_							,							pad_token_id=SCREAMING_SNAKE_CASE_							,							eos_token_id=SCREAMING_SNAKE_CASE_							,							decoder_start_token_id=SCREAMING_SNAKE_CASE_							,							forced_eos_token_id=SCREAMING_SNAKE_CASE_							,							is_encoder_decoder=SCREAMING_SNAKE_CASE_							,							prefix=SCREAMING_SNAKE_CASE_							,							vocab_size=SCREAMING_SNAKE_CASE_							,							**SCREAMING_SNAKE_CASE_							,							)
									assert (
									    "question_encoder" in kwargs and "generator" in kwargs
									), "Config has to be initialized with question_encoder and generator config"
									SCREAMING_SNAKE_CASE_    			=			kwargs.pop('''question_encoder'''     )
									SCREAMING_SNAKE_CASE_    			=			question_encoder_config.pop('''model_type'''     )
									SCREAMING_SNAKE_CASE_    			=			kwargs.pop('''generator'''     )
									SCREAMING_SNAKE_CASE_    			=			decoder_config.pop('''model_type'''     )

									from ..auto.configuration_auto import AutoConfig

									SCREAMING_SNAKE_CASE_    			=			AutoConfig.for_model(SCREAMING_SNAKE_CASE_							,							**SCREAMING_SNAKE_CASE_     )
									SCREAMING_SNAKE_CASE_    			=			AutoConfig.for_model(SCREAMING_SNAKE_CASE_							,							**SCREAMING_SNAKE_CASE_     )

									SCREAMING_SNAKE_CASE_    			=			reduce_loss
									SCREAMING_SNAKE_CASE_    			=			label_smoothing
									SCREAMING_SNAKE_CASE_    			=			exclude_bos_score
									SCREAMING_SNAKE_CASE_    			=			do_marginalize

									SCREAMING_SNAKE_CASE_    			=			title_sep
									SCREAMING_SNAKE_CASE_    			=			doc_sep
									SCREAMING_SNAKE_CASE_    			=			n_docs
									SCREAMING_SNAKE_CASE_    			=			max_combined_length

									SCREAMING_SNAKE_CASE_    			=			dataset
									SCREAMING_SNAKE_CASE_    			=			dataset_split
									SCREAMING_SNAKE_CASE_    			=			index_name

									SCREAMING_SNAKE_CASE_    			=			retrieval_vector_size
									SCREAMING_SNAKE_CASE_    			=			retrieval_batch_size
									SCREAMING_SNAKE_CASE_    			=			passages_path
									SCREAMING_SNAKE_CASE_    			=			index_path
									SCREAMING_SNAKE_CASE_    			=			use_dummy_dataset

									SCREAMING_SNAKE_CASE_    			=			output_retrieved

									SCREAMING_SNAKE_CASE_    			=			do_deduplication

									SCREAMING_SNAKE_CASE_    			=			use_cache

									if self.forced_eos_token_id is None:
											SCREAMING_SNAKE_CASE_    			=			getattr(self.generator							,							'''forced_eos_token_id'''							,							SCREAMING_SNAKE_CASE_     )

							@classmethod
							def _lowercase       (cls							,							SCREAMING_SNAKE_CASE_							,							SCREAMING_SNAKE_CASE_							,							**SCREAMING_SNAKE_CASE_     ):

									"""simple docstring"""







									return cls(question_encoder=question_encoder_config.to_dict()							,							generator=generator_config.to_dict()							,							**SCREAMING_SNAKE_CASE_     )







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			copy.deepcopy(self.__dict__     )
									SCREAMING_SNAKE_CASE_    			=			self.question_encoder.to_dict()
									SCREAMING_SNAKE_CASE_    			=			self.generator.to_dict()
									SCREAMING_SNAKE_CASE_    			=			self.__class__.model_type
									return output