

import os
import warnings
from typing import List, Optional

from ...tokenization_utils_base import BatchEncoding
from ...utils import logging
from .configuration_rag import RagConfig


A__						=							logging.get_logger(__name__)

class 				__UpperCamelCase				:







	def __init__(   self: Any  , __UpperCamelCase: List[str]  , __UpperCamelCase: str      ):

						'''simple docstring'''





						__magic_name__							=    question_encoder
						__magic_name__							=    generator
						__magic_name__							=    self.question_encoder







	def 	_SCREAMING_SNAKE_CASE							(   self: int  , __UpperCamelCase: int      ):

						'''simple docstring'''





						if os.path.isfile(__a      ):
											raise ValueError(F'Provided path ({save_directory}) should be a directory, not a file'      )
						os.makedirs(__a  , exist_ok=__a      )
						__magic_name__							=    os.path.join(__a  , 'question_encoder_tokenizer'      )
						__magic_name__							=    os.path.join(__a  , 'generator_tokenizer'      )
						self.question_encoder.save_pretrained(__a      )
						self.generator.save_pretrained(__a      )







	@classmethod
	def 	_SCREAMING_SNAKE_CASE							(   cls: Optional[Any]  , __UpperCamelCase: Dict  , **__UpperCamelCase: Any      ):

						'''simple docstring'''





						from ..auto.tokenization_auto import AutoTokenizer

						__magic_name__							=    kwargs.pop('config'  , __a      )

						if config is None:
											__magic_name__							=    RagConfig.from_pretrained(__a      )

						__magic_name__							=    AutoTokenizer.from_pretrained(
						    __a  , config=config.question_encoder  , subfolder='question_encoder_tokenizer'      )
						__magic_name__							=    AutoTokenizer.from_pretrained(
						    __a  , config=config.generator  , subfolder='generator_tokenizer'      )
						return cls(question_encoder=__a  , generator=__a      )







	def __call__(   self: Tuple  , *__UpperCamelCase: str  , **__UpperCamelCase: Any      ):

						'''simple docstring'''





						return self.current_tokenizer(*__a  , **__a      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]  , *__UpperCamelCase: str  , **__UpperCamelCase: Tuple      ):

						'''simple docstring'''





						return self.generator.batch_decode(*__a  , **__a      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]  , *__UpperCamelCase: Tuple  , **__UpperCamelCase: str      ):

						'''simple docstring'''





						return self.generator.decode(*__a  , **__a      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						__magic_name__							=    self.question_encoder







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





						__magic_name__							=    self.generator







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]  , __UpperCamelCase: List[str]  , __UpperCamelCase: Optional[List[str]] = None  , __UpperCamelCase: Optional[int] = None  , __UpperCamelCase: Optional[int] = None  , __UpperCamelCase: str = "longest"  , __UpperCamelCase: str = None  , __UpperCamelCase: bool = True  , **__UpperCamelCase: Optional[int]  , ):

						'''simple docstring'''





						warnings.warn(
						    '`prepare_seq2seq_batch` is deprecated and will be removed in version 5 of 🤗 Transformers. Use the '
						    'regular `__call__` method to prepare your inputs and the tokenizer under the `with_target_tokenizer` '
						    'context manager to prepare your targets. See the documentation of your specific tokenizer for more '
						    'details'  , __a  , )
						if max_length is None:
											__magic_name__							=    self.current_tokenizer.model_max_length
						__magic_name__							=    self(
						    __a  , add_special_tokens=__a  , return_tensors=__a  , max_length=__a  , padding=__a  , truncation=__a  , **__a  , )
						if tgt_texts is None:
											return model_inputs
						# Process tgt_texts
						if max_target_length is None:
											__magic_name__							=    self.current_tokenizer.model_max_length
						__magic_name__							=    self(
						    text_target=__a  , add_special_tokens=__a  , return_tensors=__a  , padding=__a  , max_length=__a  , truncation=__a  , **__a  , )
						__magic_name__							=    labels["""input_ids"""]
						return model_inputs







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 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   str       				=  DownBlockaD  # noqa F405
	_lowercase  :   Union[str, Any]       				=  "down"







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[str]       				=  ResnetDownsampleBlockaD  # noqa F405
	_lowercase  :   Union[str, Any]       				=  "down"







	def 	_SCREAMING_SNAKE_CASE							(   self: int      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Dict       				=  AttnDownBlockaD  # noqa F405
	_lowercase  :   List[Any]       				=  "down"







	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   int       				=  CrossAttnDownBlockaD  # noqa F405
	_lowercase  :   Any       				=  "down"







	def 	_SCREAMING_SNAKE_CASE							(   self: int      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Union[str, Any]       				=  SimpleCrossAttnDownBlockaD  # noqa F405
	_lowercase  :   List[str]       				=  "down"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





						return super().get_dummy_input(include_encoder_hidden_states=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





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







	@unittest.skipIf(torch_device == 'mps'  , 'MPS result is not consistent'      )
	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   str       				=  SkipDownBlockaD  # noqa F405
	_lowercase  :   Union[str, Any]       				=  "down"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_skip_sample=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Tuple       				=  AttnSkipDownBlockaD  # noqa F405
	_lowercase  :   str       				=  "down"







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

						'''simple docstring'''





						return super().get_dummy_input(include_skip_sample=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Optional[int]       				=  DownEncoderBlockaD  # noqa F405
	_lowercase  :   List[str]       				=  "down"







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

						'''simple docstring'''





						return super().get_dummy_input(include_temb=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





						__magic_name__							=    {
						    'in_channels': 32,
						    'out_channels': 32,
						}
						__magic_name__							=    self.dummy_input
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[Any]       				=  AttnDownEncoderBlockaD  # noqa F405
	_lowercase  :   Optional[Any]       				=  "down"







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

						'''simple docstring'''





						return super().get_dummy_input(include_temb=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]      ):

						'''simple docstring'''





						__magic_name__							=    {
						    'in_channels': 32,
						    'out_channels': 32,
						}
						__magic_name__							=    self.dummy_input
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[Any]       				=  UNetMidBlockaD  # noqa F405
	_lowercase  :   Any       				=  "mid"







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   str       				=  UNetMidBlockaDCrossAttn  # noqa F405
	_lowercase  :   int       				=  "mid"







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Tuple       				=  UNetMidBlockaDSimpleCrossAttn  # noqa F405
	_lowercase  :   str       				=  "mid"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





						return super().get_dummy_input(include_encoder_hidden_states=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[Any]       				=  UpBlockaD  # noqa F405
	_lowercase  :   List[Any]       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[Any]       				=  ResnetUpsampleBlockaD  # noqa F405
	_lowercase  :   Dict       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Any       				=  CrossAttnUpBlockaD  # noqa F405
	_lowercase  :   Union[str, Any]       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   str       				=  SimpleCrossAttnUpBlockaD  # noqa F405
	_lowercase  :   Tuple       				=  "up"







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

						'''simple docstring'''





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







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

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Optional[Any]       				=  AttnUpBlockaD  # noqa F405
	_lowercase  :   Optional[int]       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	@unittest.skipIf(torch_device == 'mps'  , 'MPS result is not consistent'      )
	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Union[str, Any]       				=  SkipUpBlockaD  # noqa F405
	_lowercase  :   int       				=  "up"







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

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







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

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Union[str, Any]       				=  AttnSkipUpBlockaD  # noqa F405
	_lowercase  :   Optional[Any]       				=  "up"







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

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[str]       				=  UpDecoderBlockaD  # noqa F405
	_lowercase  :   List[str]       				=  "up"







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

						'''simple docstring'''





						return super().get_dummy_input(include_temb=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						__magic_name__							=    {'in_channels': 32, 'out_channels': 32}

						__magic_name__							=    self.dummy_input
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]      ):

						'''simple docstring'''





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




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Optional[Any]       				=  AttnUpDecoderBlockaD  # noqa F405
	_lowercase  :   Any       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





						return super().get_dummy_input(include_temb=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





						__magic_name__							=    {'in_channels': 32, 'out_channels': 32}

						__magic_name__							=    self.dummy_input
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





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




