
"""simple docstring"""






from typing import List, Union

from ..utils import (
    add_end_docstrings,
    is_tf_available,
    is_torch_available,
    is_vision_available,
    logging,
    requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
					from PIL import Image

					from ..image_utils import load_image

if is_tf_available():
					import tensorflow as tf

					from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
					from ..tf_utils import stable_softmax

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

_lowercase							=				logging.get_logger(__name__)

@add_end_docstrings(__a       )
class 					__a     ( __a       ):



							'''simple docstring'''







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




										'''simple docstring'''
										super().__init__(*_lowerCamelCase  ,    **_lowerCamelCase       )
										requires_backends(self  ,    "vision"       )
										self.check_model_type(
										    TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
										    if self.framework == "tf"
										    else MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase=None       )			->							Optional[Any]:




										'''simple docstring'''
										__lowercase       =       {}
										if top_k is not None:
													__lowercase       =       top_k
										return {}, {}, postprocess_params
							def __call__(     self  ,    _lowerCamelCase  ,    **_lowerCamelCase       )			->							Tuple:




										'''simple docstring'''
										return super().__call__(_lowerCamelCase  ,    **_lowerCamelCase       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							List[str]:




										'''simple docstring'''
										__lowercase       =       load_image(_lowerCamelCase       )
										__lowercase       =       self.image_processor(images=_lowerCamelCase  ,    return_tensors=self.framework       )
										return model_inputs
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							List[Any]:




										'''simple docstring'''
										__lowercase       =       self.model(**_lowerCamelCase       )
										return model_outputs





							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase=5       )			->							Union[str, Any]:




										'''simple docstring'''
										if top_k > self.model.config.num_labels:
													__lowercase       =       self.model.config.num_labels

										if self.framework == "pt":
													__lowercase       =       model_outputs.logits.softmax(-1       )[0]
													__lowercase   ,					__lowercase       =       probs.topk(_lowerCamelCase       )
										elif self.framework == "tf":
													__lowercase       =       stable_softmax(model_outputs.logits  ,    axis=-1       )[0]
													__lowercase       =       tf.math.top_k(_lowerCamelCase  ,    k=_lowerCamelCase       )
													__lowercase   ,					__lowercase       =       topk.values.numpy(), topk.indices.numpy()
										else:
													raise ValueError(f'''Unsupported framework: {self.framework}'''       )

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







"""simple docstring"""






from __future__ import annotations

from random import random

class 					__a     :



							'''simple docstring'''







							def __init__(     self  ,    _lowerCamelCase = None       )			->							str:




										'''simple docstring'''
										__lowercase       =       value
										__lowercase       =       random()
										__lowercase       =       None
										__lowercase       =       None
							def __repr__(     self       )			->							str:




										'''simple docstring'''
										from pprint import pformat

										if self.left is None and self.right is None:
													return f'''\'{self.value}: {self.prior:.5}\''''
										else:
													return pformat(
													    {f'''{self.value}: {self.prior:.5}''': (self.left, self.right)}  ,    indent=1       )





							def __str__(     self       )			->							str:




										'''simple docstring'''
										__lowercase       =       str(self.value       ) + " "
										__lowercase       =       str(self.left or ""       )
										__lowercase       =       str(self.right or ""       )
										return value + left + right





def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->tuple[Node | None, Node | None]:
			if root is None:  # None tree is split into 2 Nones
						return None, None
			elif root.value is None:
						return None, None
			else:
						if value < root.value:
									__lowercase   ,					__lowercase       =       split(root.left			,   __magic_name__      )
									return left, root
						else:
									__lowercase   ,					__lowercase       =       split(root.right			,   __magic_name__      )
									return root, right



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->Node | None:
			if (not left) or (not right):  # If one node is None, return the other
						return left or right
			elif left.prior < right.prior:
						__lowercase       =       merge(left.right			,   __magic_name__      )
						return left
			else:
						__lowercase       =       merge(__magic_name__			,   right.left      )
						return right



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->Node | None:
			__lowercase       =       Node(__magic_name__      )
			__lowercase   ,					__lowercase       =       split(__magic_name__			,   __magic_name__      )
			return merge(merge(__magic_name__			,   __magic_name__      )			,   __magic_name__      )



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->Node | None:
			__lowercase   ,					__lowercase       =       split(__magic_name__			,   value - 1      )
			__lowercase   ,					__lowercase       =       split(__magic_name__			,   __magic_name__      )
			return merge(__magic_name__			,   __magic_name__      )



def      lowerCAmelCase__			(		__magic_name__      )						->None:
			if not root:  # None
						return
			else:
						inorder(root.left      )
						print(root.value			,   end=","      )
						inorder(root.right      )



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->Node | None:
			for arg in args.split():
						if arg[0] == "+":
									__lowercase       =       insert(__magic_name__			,   int(arg[1:]      )      )

						elif arg[0] == "-":
									__lowercase       =       erase(__magic_name__			,   int(arg[1:]      )      )

						else:
									print("Unknown command"      )

			return root



def      lowerCAmelCase__			(		)						->None:
			__lowercase       =       None
			print(
			    "enter numbers to create a tree, + value to add value into treap, "
			    "- value to erase all nodes with value. 'q' to quit. "      )

			__lowercase       =       input()
			while args != "q":
						__lowercase       =       interact_treap(__magic_name__			,   __magic_name__      )
						print(__magic_name__      )
						__lowercase       =       input()

			print("good by!"      )


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()





