






"""simple docstring"""



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

A__	:    Dict			 = logging.get_logger(__name__)







@add_end_docstrings(snake_case__       )
class        lowercase__      (							snake_case__       ):


			def __init__(				self					:  Optional[Any]       ,	*snake_case__					:  Dict       ,	**snake_case__					:  List[str] ):
										super().__init__(*snake_case__       ,	**snake_case__ )
										self.check_model_type(snake_case__ )


			def      UpperCAmelCase__						(				self					:  List[Any]       ,	snake_case__					:  int=None       ,	snake_case__					:  Union[str, Any]=None       ,	snake_case__					:  Tuple=None       ,	**snake_case__					:  Optional[int] ):
										lowerCamelCase_							,						lowerCamelCase_	:							List[Any]									={}, {}
										if padding is not None:
																	lowerCamelCase_	:							List[Any]									=padding
										if truncation is not None:
																	lowerCamelCase_	:							Tuple									=truncation
										if top_k is not None:
																	lowerCamelCase_	:							str									=top_k
										return preprocess_params, {}, postprocess_params


			def __call__(				self					:  List[str]       ,	snake_case__					:  Union["Image.Image", str]       ,	snake_case__					:  str = None       ,	**snake_case__					:  Any ):
										if isinstance(snake_case__       ,	(Image.Image, str) ) and isinstance(snake_case__       ,	snake_case__ ):
																	lowerCamelCase_	:							List[str]									={"image": image, "question": question}
										else:
																	lowerCamelCase_	:							str									=image
										lowerCamelCase_	:							Tuple									=super().__call__(snake_case__       ,	**snake_case__ )
										return results


			def      UpperCAmelCase__						(				self					:  Optional[int]       ,	snake_case__					:  Dict       ,	snake_case__					:  Optional[Any]=False       ,	snake_case__					:  List[Any]=False ):
										lowerCamelCase_	:							Dict									=load_image(inputs["image"] )
										lowerCamelCase_	:							Optional[Any]									=self.tokenizer(
										    inputs["question"]       ,	return_tensors=self.framework       ,	padding=snake_case__       ,	truncation=snake_case__ )
										lowerCamelCase_	:							Dict									=self.image_processor(images=snake_case__       ,	return_tensors=self.framework )
										model_inputs.update(snake_case__ )
										return model_inputs


			def      UpperCAmelCase__						(				self					:  Optional[Any]       ,	snake_case__					:  Dict ):
										lowerCamelCase_	:							List[Any]									=self.model(**snake_case__ )
										return model_outputs


			def      UpperCAmelCase__						(				self					:  Optional[int]       ,	snake_case__					:  List[Any]       ,	snake_case__					:  Tuple=5 ):
										if top_k > self.model.config.num_labels:
																	lowerCamelCase_	:							Any									=self.model.config.num_labels

										if self.framework == "pt":
																	lowerCamelCase_	:							Union[str, Any]									=model_outputs.logits.sigmoid()[0]
																	lowerCamelCase_							,						lowerCamelCase_	:							Union[str, Any]									=probs.topk(snake_case__ )
										else:
																	raise ValueError(F"""Unsupported framework: {self.framework}""" )

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











"""simple docstring"""



def 			_snake_case    (					lowerCamelCase__     :   Optional[Any]  )    ->     Optional[int]:
							if not head:
														return True
							# split the list to two parts
							lowerCamelCase_							,						lowerCamelCase_	:							Union[str, Any]									=head.next, head
							while fast and fast.next:
														lowerCamelCase_	:							Optional[Any]									=fast.next.next
														lowerCamelCase_	:							str									=slow.next
							lowerCamelCase_	:							Tuple									=slow.next
							lowerCamelCase_	:							Any									=None  # Don't forget here! But forget still works!
							# reverse the second part
							lowerCamelCase_	:							List[str]									=None
							while second:
														lowerCamelCase_	:							Any									=second.next
														lowerCamelCase_	:							Union[str, Any]									=node
														lowerCamelCase_	:							Union[str, Any]									=second
														lowerCamelCase_	:							Optional[Any]									=nxt
							# compare two parts
							# second part has the same or one less node
							while node:
														if node.val != head.val:
																					return False
														lowerCamelCase_	:							List[str]									=node.next
														lowerCamelCase_	:							Optional[Any]									=head.next
							return True

def 			_snake_case    (					lowerCamelCase__     :   str  )    ->     Optional[int]:
							if not head or not head.next:
														return True

							# 1. Get the midpoint (slow)
							lowerCamelCase_	:							List[str]									=head
							while fast and fast.next:
														lowerCamelCase_							,						lowerCamelCase_	:							Union[str, Any]									=fast.next.next, slow.next

							# 2. Push the second half into the stack
							lowerCamelCase_	:							List[Any]									=[slow.val]
							while slow.next:
														lowerCamelCase_	:							List[Any]									=slow.next
														stack.append(slow.val  )

							# 3. Comparison
							while stack:
														if stack.pop() != cur.val:
																					return False
														lowerCamelCase_	:							Union[str, Any]									=cur.next

							return True

def 			_snake_case    (					lowerCamelCase__     :   Dict  )    ->     Optional[Any]:
							if not head or not head.next:
														return True
							lowerCamelCase_	:							Union[str, Any]									={}
							lowerCamelCase_	:							List[Any]									=0
							while head:
														if head.val in d:
																					d[head.val].append(lowerCamelCase__  )
														else:
																					lowerCamelCase_	:							List[str]									=[pos]
														lowerCamelCase_	:							Optional[int]									=head.next
														pos += 1
							lowerCamelCase_	:							Union[str, Any]									=pos - 1
							lowerCamelCase_	:							Optional[int]									=0
							for v in d.values():
														if len(lowerCamelCase__  ) % 2 != 0:
																					middle += 1
														else:
																					lowerCamelCase_	:							Optional[Any]									=0
																					for i in range(0    ,						len(lowerCamelCase__  )  ):
																												if v[i] + v[len(lowerCamelCase__  ) - 1 - step] != checksum:
																																			return False
																												step += 1
														if middle > 1:
																					return False
							return True



