



import random
import unittest

import torch

from diffusers import IFInpaintingPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_INPAINTING_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin



@skip_mps
class        __lowerCAmelCase   (		lowercase_     ,		lowercase_     ,		unittest.TestCase      ):
 lowerCAmelCase__				    =     IFInpaintingPipeline
 lowerCAmelCase__				    =     TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {"""width""", """height"""}
 lowerCAmelCase__				    =     TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
 lowerCAmelCase__				    =     PipelineTesterMixin.required_optional_params - {"""latents"""}




 def 				lowerCamelCase					(  self ):



    '''simple docstring'''
    return self._get_dummy_components()




 def 				lowerCamelCase					(  self		, __UpperCAmelCase		, __UpperCAmelCase=0 ):



    '''simple docstring'''







    if str(__UpperCAmelCase ).startswith('''mps''' ):
       __lowerCamelCase  							=			torch.manual_seed(__UpperCAmelCase )
    else:
       __lowerCamelCase  							=			torch.Generator(device=__UpperCAmelCase ).manual_seed(__UpperCAmelCase )

    __lowerCamelCase  							=			floats_tensor((1, 3, 32, 32)		, rng=random.Random(__UpperCAmelCase ) ).to(__UpperCAmelCase )
    __lowerCamelCase  							=			floats_tensor((1, 3, 32, 32)		, rng=random.Random(__UpperCAmelCase ) ).to(__UpperCAmelCase )

    __lowerCamelCase  							=			{
        '''prompt''': '''A painting of a squirrel eating a burger''',
        '''image''': image,
        '''mask_image''': mask_image,
        '''generator''': generator,
        '''num_inference_steps''': 2,
        '''output_type''': '''numpy''',
    }

    return inputs




 @unittest.skipIf(
     torch_device != '''cuda''' or not is_xformers_available()		, reason='''XFormers attention is only available with CUDA and `xformers` installed'''		, )
 def 				lowerCamelCase					(  self ):



    '''simple docstring'''
    self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3 )




 def 				lowerCamelCase					(  self ):



    '''simple docstring'''
    self._test_save_load_optional_components()




 @unittest.skipIf(torch_device != '''cuda'''		, reason='''float16 requires CUDA''' )
 def 				lowerCamelCase					(  self ):



    '''simple docstring'''
    super().test_save_load_floataa(expected_max_diff=1E-1 )




 def 				lowerCamelCase					(  self ):



    '''simple docstring'''
    self._test_attention_slicing_forward_pass(expected_max_diff=1E-2 )




 def 				lowerCamelCase					(  self ):



    '''simple docstring'''
    self._test_save_load_local()




 def 				lowerCamelCase					(  self ):



    '''simple docstring'''
    self._test_inference_batch_single_identical(
        expected_max_diff=1E-2		, )










'''simple docstring'''

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


lowerCamelCase							:   int  						=	logging.get_logger(__name__)

lowerCamelCase							:   List[Any]  						=	{
    'google/realm-cc-news-pretrained-embedder': (
        'https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json'
    ),
    'google/realm-cc-news-pretrained-encoder': (
        'https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json'
    ),
    'google/realm-cc-news-pretrained-scorer': (
        'https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json'
    ),
    'google/realm-cc-news-pretrained-openqa': (
        'https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json'
    ),
    'google/realm-orqa-nq-openqa': 'https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json',
    'google/realm-orqa-nq-reader': 'https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json',
    'google/realm-orqa-wq-openqa': 'https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json',
    'google/realm-orqa-wq-reader': 'https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json',
    # See all REALM models at https://huggingface.co/models?filter=realm
}
class   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      lowerCAmelCase__					:     Optional[int]  					=							"""realm"""



      def __init__(self    :    str   ,						UpperCamelCase    :    List[Any]=30522   ,						UpperCamelCase    :    List[Any]=768   ,						UpperCamelCase    :    int=128   ,						UpperCamelCase    :    Any=12   ,						UpperCamelCase    :    Tuple=12   ,						UpperCamelCase    :    List[Any]=8   ,						UpperCamelCase    :    Union[str, Any]=3072   ,						UpperCamelCase    :    List[str]="gelu_new"   ,						UpperCamelCase    :    Any=0.1   ,						UpperCamelCase    :    List[str]=0.1   ,						UpperCamelCase    :    Dict=512   ,						UpperCamelCase    :    Dict=2   ,						UpperCamelCase    :    List[Any]=0.02   ,						UpperCamelCase    :    List[Any]=1E-12   ,						UpperCamelCase    :    Dict=256   ,						UpperCamelCase    :    Union[str, Any]=10   ,						UpperCamelCase    :    Optional[int]=1E-3   ,						UpperCamelCase    :    Tuple=5   ,						UpperCamelCase    :    Optional[int]=320   ,						UpperCamelCase    :    List[str]=13353718   ,						UpperCamelCase    :    Optional[Any]=5000   ,						UpperCamelCase    :    str=1   ,						UpperCamelCase    :    Union[str, Any]=0   ,						UpperCamelCase    :    List[Any]=2   ,						**UpperCamelCase    :    int   ,						):

             '''simple docstring'''







             super().__init__(pad_token_id=UpperCamelCase   ,						bos_token_id=UpperCamelCase   ,						eos_token_id=UpperCamelCase   ,						**UpperCamelCase )

             # Common config
             lowercase__      			= vocab_size
             lowercase__      			= max_position_embeddings
             lowercase__      			= hidden_size
             lowercase__      			= retriever_proj_size
             lowercase__      			= num_hidden_layers
             lowercase__      			= num_attention_heads
             lowercase__      			= num_candidates
             lowercase__      			= intermediate_size
             lowercase__      			= hidden_act
             lowercase__      			= hidden_dropout_prob
             lowercase__      			= attention_probs_dropout_prob
             lowercase__      			= initializer_range
             lowercase__      			= type_vocab_size
             lowercase__      			= layer_norm_eps

             # Reader config
             lowercase__      			= span_hidden_size
             lowercase__      			= max_span_width
             lowercase__      			= reader_layer_norm_eps
             lowercase__      			= reader_beam_size
             lowercase__      			= reader_seq_len

             # Retrieval config
             lowercase__      			= num_block_records
             lowercase__      			= searcher_beam_size




