


"""simple docstring"""


from __future__ import annotations

import math



class 			lowerCamelCase__						:







						def __init__(							self   :    Optional[int]			,			_lowercase   :    int		):
								A					       = size
								# approximate the overall size of segment tree with given value
								A					       = [0 for i in range(0			,			4 * size		)]
								# create array to store lazy update
								A					       = [0 for i in range(0			,			4 * size		)]
								A					       = [0 for i in range(0			,			4 * size		)]  # flag for lazy update







						def __a						(							self   :    Union[str, Any]			,			_lowercase   :    int		):
								return idx * 2







						def __a						(							self   :    Tuple			,			_lowercase   :    int		):
								return idx * 2 + 1







						def __a						(							self   :    Optional[int]			,			_lowercase   :    int			,			_lowercase   :    int			,			_lowercase   :    int			,			_lowercase   :    list[int]		):
								if left_element == right_element:
										A					       = a[left_element - 1]
								else:
										A					       = (left_element + right_element) // 2
										self.build(self.left(_lowercase		)			,			_lowercase			,			_lowercase			,			_lowercase		)
										self.build(self.right(_lowercase		)			,			mid + 1			,			_lowercase			,			_lowercase		)
										A					       = max(
										    self.segment_tree[self.left(_lowercase		)]			,			self.segment_tree[self.right(_lowercase		)]		)







						def __a						(							self   :    List[Any]			,			_lowercase   :    int			,			_lowercase   :    int			,			_lowercase   :    int			,			_lowercase   :    int			,			_lowercase   :    int			,			_lowercase   :    int		):
								if self.flag[idx] is True:
										A					       = self.lazy[idx]
										A					       = False
										if left_element != right_element:
												A					       = self.lazy[idx]
												A					       = self.lazy[idx]
												A					       = True
												A					       = True

								if right_element < a or left_element > b:
										return True
								if left_element >= a and right_element <= b:
										A					       = val
										if left_element != right_element:
												A					       = val
												A					       = val
												A					       = True
												A					       = True
										return True
								A					       = (left_element + right_element) // 2
								self.update(self.left(_lowercase		)			,			_lowercase			,			_lowercase			,			_lowercase			,			_lowercase			,			_lowercase		)
								self.update(self.right(_lowercase		)			,			mid + 1			,			_lowercase			,			_lowercase			,			_lowercase			,			_lowercase		)
								A					       = max(
								    self.segment_tree[self.left(_lowercase		)]			,			self.segment_tree[self.right(_lowercase		)]		)
								return True







						def __a						(							self   :    List[Any]			,			_lowercase   :    int			,			_lowercase   :    int			,			_lowercase   :    int			,			_lowercase   :    int			,			_lowercase   :    int		):
								if self.flag[idx] is True:
										A					       = self.lazy[idx]
										A					       = False
										if left_element != right_element:
												A					       = self.lazy[idx]
												A					       = self.lazy[idx]
												A					       = True
												A					       = True
								if right_element < a or left_element > b:
										return -math.inf
								if left_element >= a and right_element <= b:
										return self.segment_tree[idx]
								A					       = (left_element + right_element) // 2
								A					       = self.query(self.left(_lowercase		)			,			_lowercase			,			_lowercase			,			_lowercase			,			_lowercase		)
								A					       = self.query(self.right(_lowercase		)			,			mid + 1			,			_lowercase			,			_lowercase			,			_lowercase		)
								return max(_lowercase			,			_lowercase		)







						def __str__(							self   :    Tuple		):
								return str([self.query(1			,			1			,			self.size			,			_lowercase			,			_lowercase		) for i in range(1			,			self.size + 1		)]		)


if __name__ == "__main__":
	UpperCamelCase						:				List[Any]             =      [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
	UpperCamelCase						:				str             =      15
	UpperCamelCase						:				int             =      SegmentTree(size)
	segt.build(1, 1, size, A)
	print(segt.query(1, 1, size, 4, 6))
	print(segt.query(1, 1, size, 7, 11))
	print(segt.query(1, 1, size, 7, 12))
	segt.update(1, 1, size, 1, 3, 111)
	print(segt.query(1, 1, size, 1, 15))
	segt.update(1, 1, size, 7, 8, 235)
	print(segt)









"""simple docstring"""


import unittest

from huggingface_hub import hf_hub_download

from transformers import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING, VideoMAEFeatureExtractor
from transformers.pipelines import VideoClassificationPipeline, pipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_decord,
    require_tf,
    require_torch,
    require_torch_or_tf,
    require_vision,
)

from .test_pipelines_common import ANY



@is_pipeline_test
@require_torch_or_tf
@require_vision
@require_decord
class 			lowerCamelCase__						(   unittest.TestCase			):
						lowerCAmelCase       =     MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING







						def __a						(							self   :    Dict			,			_lowercase   :    int			,			_lowercase   :    Any			,			_lowercase   :    int		):
								A					       = hf_hub_download(
								    repo_id='nateraw/video-demo'			,			filename='archery.mp4'			,			repo_type='dataset'		)
								A					       = VideoClassificationPipeline(model=_lowercase			,			image_processor=_lowercase			,			top_k=2		)
								A					       = [
								    example_video_filepath,
								    'https://huggingface.co/datasets/nateraw/video-demo/resolve/main/archery.mp4',
								]
								return video_classifier, examples







						def __a						(							self   :    Tuple			,			_lowercase   :    Union[str, Any]			,			_lowercase   :    List[Any]		):
								for example in examples:
										A					       = video_classifier(_lowercase		)

										self.assertEqual(
										    _lowercase			,			[
										        {'score': ANY(_lowercase		), 'label': ANY(_lowercase		)},
										        {'score': ANY(_lowercase		), 'label': ANY(_lowercase		)},
										    ]			,			)







						@require_torch
						def __a						(							self   :    str		):
								A					       = 'hf-internal-testing/tiny-random-VideoMAEForVideoClassification'
								A					       = VideoMAEFeatureExtractor(
								    size={'shortest_edge': 10}			,			crop_size={'height': 10, 'width': 10}		)
								A					       = pipeline(
								    'video-classification'			,			model=_lowercase			,			feature_extractor=_lowercase			,			frame_sampling_rate=4		)

								A					       = hf_hub_download(repo_id='nateraw/video-demo'			,			filename='archery.mp4'			,			repo_type='dataset'		)
								A					       = video_classifier(_lowercase			,			top_k=2		)
								self.assertEqual(
								    nested_simplify(_lowercase			,			decimals=4		)			,			[{'score': 0.5_1_9_9, 'label': 'LABEL_0'}, {'score': 0.4_8_0_1, 'label': 'LABEL_1'}]			,			)

								A					       = video_classifier(
								    [
								        video_file_path,
								        video_file_path,
								    ]			,			top_k=2			,			)
								self.assertEqual(
								    nested_simplify(_lowercase			,			decimals=4		)			,			[
								        [{'score': 0.5_1_9_9, 'label': 'LABEL_0'}, {'score': 0.4_8_0_1, 'label': 'LABEL_1'}],
								        [{'score': 0.5_1_9_9, 'label': 'LABEL_0'}, {'score': 0.4_8_0_1, 'label': 'LABEL_1'}],
								    ]			,			)







						@require_tf
						def __a						(							self   :    Dict		):
								pass





