from typing import Union

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
				from PIL import Image

				from ..image_utils import load_image

if is_torch_available():
				from ..models.auto.modeling_auto import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING

lowercase__							:							int									=			logging.get_logger(__name__)






@add_end_docstrings(lowerCAmelCase__    )
class        SCREAMING_SNAKE_CASE__    (							lowerCAmelCase__    ):

							"""simple docstring"""






							def __init__(  self     ,	*SCREAMING_SNAKE_CASE_     ,	**SCREAMING_SNAKE_CASE_			)->   int:





													'''simple docstring'''






													super().__init__(*_lowerCamelCase     ,	**_lowerCamelCase			)
													self.check_model_type(_lowerCamelCase			)



							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_=None     ,	SCREAMING_SNAKE_CASE_=None     ,	SCREAMING_SNAKE_CASE_=None     ,	**SCREAMING_SNAKE_CASE_			)->   Optional[int]:





													'''simple docstring'''






													__UpperCamelCase  ,							__UpperCamelCase       =			{}, {}
													if padding is not None:
																			__UpperCamelCase       =			padding
													if truncation is not None:
																			__UpperCamelCase       =			truncation
													if top_k is not None:
																			__UpperCamelCase       =			top_k
													return preprocess_params, {}, postprocess_params



							def __call__(  self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_ = None     ,	**SCREAMING_SNAKE_CASE_			)->   str:





													'''simple docstring'''






													if isinstance(_lowerCamelCase     ,	(Image.Image, str)			) and isinstance(_lowerCamelCase     ,	_lowerCamelCase			):
																			__UpperCamelCase       =			{'''image''': image, '''question''': question}
													else:
																			__UpperCamelCase       =			image
													__UpperCamelCase       =			super().__call__(_lowerCamelCase     ,	**_lowerCamelCase			)
													return results



							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_=False     ,	SCREAMING_SNAKE_CASE_=False			)->   Tuple:





													'''simple docstring'''






													__UpperCamelCase       =			load_image(inputs['''image''']			)
													__UpperCamelCase       =			self.tokenizer(
													    inputs['''question''']     ,	return_tensors=self.framework     ,	padding=_lowerCamelCase     ,	truncation=_lowerCamelCase			)
													__UpperCamelCase       =			self.image_processor(images=_lowerCamelCase     ,	return_tensors=self.framework			)
													model_inputs.update(_lowerCamelCase			)
													return model_inputs



							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_			)->   int:





													'''simple docstring'''






													__UpperCamelCase       =			self.model(**_lowerCamelCase			)
													return model_outputs



							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_=5			)->   Tuple:





													'''simple docstring'''






													if top_k > self.model.config.num_labels:
																			__UpperCamelCase       =			self.model.config.num_labels

													if self.framework == "pt":
																			__UpperCamelCase       =			model_outputs.logits.sigmoid()[0]
																			__UpperCamelCase  ,							__UpperCamelCase       =			probs.topk(_lowerCamelCase			)
													else:
																			raise ValueError(F"Unsupported framework: {self.framework}"			)

													__UpperCamelCase       =			scores.tolist()
													__UpperCamelCase       =			ids.tolist()
													return [{"score": score, "answer": self.model.config.idalabel[_id]} for score, _id in zip(_lowerCamelCase     ,	_lowerCamelCase			)]






import os
import re
import shutil
import sys
import tempfile
import unittest

import black


lowercase__							:							Optional[Any]									=			os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
lowercase__							:							Dict									=			"    \"\"\"\n    Output class for the scheduler's step function output.\n\n    Args:\n        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the\n            denoising loop.\n        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            The predicted denoised sample (x_{0}) based on the model output from the current timestep.\n            `pred_original_sample` can be used to preview progress or for guidance.\n    \"\"\"\n\n    prev_sample: torch.FloatTensor\n    pred_original_sample: Optional[torch.FloatTensor] = None\n"






class        SCREAMING_SNAKE_CASE__    (							unittest.TestCase    ):

							"""simple docstring"""






							def     A__		(  self			)->   Dict:





													'''simple docstring'''






													__UpperCamelCase       =			tempfile.mkdtemp()
													os.makedirs(os.path.join(self.diffusers_dir     ,	'''schedulers/'''			)			)
													__UpperCamelCase       =			self.diffusers_dir
													shutil.copy(
													    os.path.join(SCREAMING_SNAKE_CASE_     ,	'''src/diffusers/schedulers/scheduling_ddpm.py'''			)     ,	os.path.join(self.diffusers_dir     ,	'''schedulers/scheduling_ddpm.py'''			)     ,	)



							def     A__		(  self			)->   Optional[int]:





													'''simple docstring'''






													__UpperCamelCase       =			'''src/diffusers'''
													shutil.rmtree(self.diffusers_dir			)



							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_=None			)->   Optional[Any]:





													'''simple docstring'''






													__UpperCamelCase       =			comment + F"\nclass {class_name}(nn.Module):\n" + class_code
													if overwrite_result is not None:
																			__UpperCamelCase       =			comment + F"\nclass {class_name}(nn.Module):\n" + overwrite_result
													__UpperCamelCase       =			black.Mode(target_versions={black.TargetVersion.PYaa}     ,	line_length=119			)
													__UpperCamelCase       =			black.format_str(SCREAMING_SNAKE_CASE_     ,	mode=SCREAMING_SNAKE_CASE_			)
													__UpperCamelCase       =			os.path.join(self.diffusers_dir     ,	'''new_code.py'''			)
													with open(SCREAMING_SNAKE_CASE_     ,	'''w'''     ,	newline='''\n'''			) as f:
																			f.write(SCREAMING_SNAKE_CASE_			)
													if overwrite_result is None:
																			self.assertTrue(len(check_copies.is_copy_consistent(SCREAMING_SNAKE_CASE_			)			) == 0			)
													else:
																			check_copies.is_copy_consistent(f.name     ,	overwrite=SCREAMING_SNAKE_CASE_			)
																			with open(SCREAMING_SNAKE_CASE_     ,	'''r'''			) as f:
																									self.assertTrue(f.read()     ,	SCREAMING_SNAKE_CASE_			)



							def     A__		(  self			)->   List[Any]:





													'''simple docstring'''






													__UpperCamelCase       =			check_copies.find_code_in_diffusers('''schedulers.scheduling_ddpm.DDPMSchedulerOutput'''			)
													self.assertEqual(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_			)



							def     A__		(  self			)->   List[str]:





													'''simple docstring'''






													self.check_copy_consistency(
													    '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput'''     ,	'''DDPMSchedulerOutput'''     ,	REFERENCE_CODE + '''\n'''     ,	)

													# With no empty line at the end
													self.check_copy_consistency(
													    '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput'''     ,	'''DDPMSchedulerOutput'''     ,	SCREAMING_SNAKE_CASE_     ,	)

													# Copy consistency with rename
													self.check_copy_consistency(
													    '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test'''     ,	'''TestSchedulerOutput'''     ,	re.sub('''DDPM'''     ,	'''Test'''     ,	SCREAMING_SNAKE_CASE_			)     ,	)

													# Copy consistency with a really long name
													__UpperCamelCase       =			'''TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason'''
													self.check_copy_consistency(
													    F"# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}"     ,	F"{long_class_name}SchedulerOutput"     ,	re.sub('''Bert'''     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_			)     ,	)

													# Copy consistency with overwrite
													self.check_copy_consistency(
													    '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test'''     ,	'''TestSchedulerOutput'''     ,	SCREAMING_SNAKE_CASE_     ,	overwrite_result=re.sub('''DDPM'''     ,	'''Test'''     ,	SCREAMING_SNAKE_CASE_			)     ,	)




