


from collections.abc import Sequence
from queue import Queue







class 	__lowercase    :





							"""simple docstring"""







							def __init__(      self			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__=None			,						lowerCAmelCase__=None       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Any					=					start
										SCREAMING_SNAKE_CASE_		:     Dict					=					end
										SCREAMING_SNAKE_CASE_		:     Any					=					val
										SCREAMING_SNAKE_CASE_		:     str					=					(start + end) // 2
										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					left
										SCREAMING_SNAKE_CASE_		:     Optional[int]					=					right






							def __repr__(      self       ):





										"""simple docstring"""




										return F'''SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'''







class 	__lowercase    :





							"""simple docstring"""







							def __init__(      self			,						lowerCAmelCase__			,						lowerCAmelCase__       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     int					=					collection
										SCREAMING_SNAKE_CASE_		:     List[str]					=					function
										if self.collection:
													SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					self._build_tree(0			,						len(lowerCAmelCase__       ) - 1       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__       ):





										"""simple docstring"""




										self._update_tree(self.root			,						lowerCAmelCase__			,						lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__       ):





										"""simple docstring"""




										return self._query_range(self.root			,						lowerCAmelCase__			,						lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__       ):





										"""simple docstring"""




										if start == end:
													return SegmentTreeNode(lowerCAmelCase__			,						lowerCAmelCase__			,						self.collection[start]       )
										SCREAMING_SNAKE_CASE_		:     Dict					=					(start + end) // 2
										SCREAMING_SNAKE_CASE_		:     List[Any]					=					self._build_tree(lowerCAmelCase__			,						lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					self._build_tree(mid + 1			,						lowerCAmelCase__       )
										return SegmentTreeNode(lowerCAmelCase__			,						lowerCAmelCase__			,						self.fn(left.val			,						right.val       )			,						lowerCAmelCase__			,						lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__       ):





										"""simple docstring"""




										if node.start == i and node.end == i:
													SCREAMING_SNAKE_CASE_		:     List[str]					=					val
													return
										if i <= node.mid:
													self._update_tree(node.left			,						lowerCAmelCase__			,						lowerCAmelCase__       )
										else:
													self._update_tree(node.right			,						lowerCAmelCase__			,						lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     Dict					=					self.fn(node.left.val			,						node.right.val       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__       ):





										"""simple docstring"""




										if node.start == i and node.end == j:
													return node.val

										if i <= node.mid:
													if j <= node.mid:
																# range in left child tree
																return self._query_range(node.left			,						lowerCAmelCase__			,						lowerCAmelCase__       )
													else:
																# range in left child tree and right child tree
																return self.fn(
																    self._query_range(node.left			,						lowerCAmelCase__			,						node.mid       )			,						self._query_range(node.right			,						node.mid + 1			,						lowerCAmelCase__       )			,						)
										else:
													# range in right child tree
													return self._query_range(node.right			,						lowerCAmelCase__			,						lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										if self.root is not None:
													SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					Queue()
													queue.put(self.root       )
													while not queue.empty():
																SCREAMING_SNAKE_CASE_		:     List[str]					=					queue.get()
																yield node

																if node.left is not None:
																			queue.put(node.left       )

																if node.right is not None:
																			queue.put(node.right       )


if __name__ == "__main__":
				import operator

				for fn in [operator.add, max, min]:
								print('*' * 50)
								lowerCAmelCase__			:      Union[str, Any]								=SegmentTree([2, 1, 5, 3, 4], fn)
								for node in arr.traverse():
												print(node)
								print()

								arr.update(1, 5)
								for node in arr.traverse():
												print(node)
								print()

								print(arr.query_range(3, 4))  # 7
								print(arr.query_range(2, 2))  # 5
								print(arr.query_range(1, 3))  # 13
								print()









# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
import torch

from ..models.clipseg import CLIPSegForImageSegmentation
from ..utils import is_vision_available, requires_backends
from .base import PipelineTool


if is_vision_available():
  from PIL import Image


class     __UpperCAmelCase							(       __A							):


     """simple docstring"""
     _lowerCamelCase   =      (
         """This is a tool that creates a segmentation mask of an image according to a label. It cannot create an image."""
         """It takes two arguments named `image` which should be the original image, and `label` which should be a text """
         """describing the elements what should be identified in the segmentation mask. The tool returns the mask."""
     )
     _lowerCamelCase   =      """CIDAS/clipseg-rd64-refined"""
     _lowerCamelCase   =      """image_segmenter"""
     _lowerCamelCase   =      CLIPSegForImageSegmentation

     _lowerCamelCase   =      ["""image""", """text"""]
     _lowerCamelCase   =      ["""image"""]


     def __init__(	self  ,       *__A  ,       **__A    ):
        requires_backends(self  ,       ["""vision"""]    )
        super().__init__(*__A  ,       **__A    )


     def 	snake_case_  (	self  ,       __A  ,       __A    ):
        return self.pre_processor(text=[label]  ,       images=[image]  ,       padding=__A  ,       return_tensors="""pt"""    )


     def 	snake_case_  (	self  ,       __A    ):
        with torch.no_grad():
           __a					=  self.model(**__A    ).logits
        return logits


     def 	snake_case_  (	self  ,       __A    ):
        __a					=  outputs.cpu().detach().numpy()
        __a					=  0
        __a					=  1
        return Image.fromarray((array * 255).astype(np.uinta    )    )



