




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):
      UpperCAmelCase__      :	Optional[Any]    		=   MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING
      def 			lowerCAmelCase__						(				self: Optional[int]    ,       UpperCamelCase_: str    ,       UpperCamelCase_: Dict    ,       UpperCamelCase_: Union[str, Any]   ):
             __lowerCamelCase   =						hf_hub_download(
                 repo_id="""nateraw/video-demo"""    ,       filename="""archery.mp4"""    ,       repo_type="""dataset"""   )
             __lowerCamelCase   =						VideoClassificationPipeline(model=UpperCamelCase_    ,       image_processor=UpperCamelCase_    ,       top_k=2   )
             __lowerCamelCase   =						[
                 example_video_filepath,
                 """https://huggingface.co/datasets/nateraw/video-demo/resolve/main/archery.mp4""",
             ]
             return video_classifier, examples
      def 			lowerCAmelCase__						(				self: List[Any]    ,       UpperCamelCase_: str    ,       UpperCamelCase_: List[Any]   ):
             for example in examples:
                    __lowerCamelCase   =						video_classifier(UpperCamelCase_   )

                    self.assertEqual(
                        UpperCamelCase_    ,       [
                            {"""score""": ANY(UpperCamelCase_   ), """label""": ANY(UpperCamelCase_   )},
                            {"""score""": ANY(UpperCamelCase_   ), """label""": ANY(UpperCamelCase_   )},
                        ]    ,       )
      @require_torch
      def 			lowerCAmelCase__						(				self: Dict   ):
             __lowerCamelCase   =						"""hf-internal-testing/tiny-random-VideoMAEForVideoClassification"""
             __lowerCamelCase   =						VideoMAEFeatureExtractor(
                 size={"""shortest_edge""": 10}    ,       crop_size={"""height""": 10, """width""": 10}   )
             __lowerCamelCase   =						pipeline(
                 """video-classification"""    ,       model=UpperCamelCase_    ,       feature_extractor=UpperCamelCase_    ,       frame_sampling_rate=4   )

             __lowerCamelCase   =						hf_hub_download(repo_id="""nateraw/video-demo"""    ,       filename="""archery.mp4"""    ,       repo_type="""dataset"""   )
             __lowerCamelCase   =						video_classifier(UpperCamelCase_    ,       top_k=2   )
             self.assertEqual(
                 nested_simplify(UpperCamelCase_    ,       decimals=4   )    ,       [{"""score""": 0.5199, """label""": """LABEL_0"""}, {"""score""": 0.4801, """label""": """LABEL_1"""}]    ,       )

             __lowerCamelCase   =						video_classifier(
                 [
                     video_file_path,
                     video_file_path,
                 ]    ,       top_k=2    ,       )
             self.assertEqual(
                 nested_simplify(UpperCamelCase_    ,       decimals=4   )    ,       [
                     [{"""score""": 0.5199, """label""": """LABEL_0"""}, {"""score""": 0.4801, """label""": """LABEL_1"""}],
                     [{"""score""": 0.5199, """label""": """LABEL_0"""}, {"""score""": 0.4801, """label""": """LABEL_1"""}],
                 ]    ,       )




      @require_tf
      def 			lowerCAmelCase__						(				self: Union[str, Any]   ):
             pass





"""simple docstring"""




from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload
class 					lowerCAmelCase	:




		'''simple docstring'''







		def __init__(	self						,       lowerCAmelCase__ = None				)     ->							None:
								if components is None:
														SCREAMING_SNAKE_CASE													=					[]
								SCREAMING_SNAKE_CASE													=					list(lowerCAmelCase__				)







		def __len__(	self				)     ->							int:
								return len(self.__components				)







		def __str__(	self				)     ->							str:
								return "(" + ",".join(map(lowerCAmelCase__						,       self.__components				)				) + ")"







		def __add__(	self						,       lowerCAmelCase__				)     ->							Vector:
								SCREAMING_SNAKE_CASE													=					len(self				)
								if size == len(lowerCAmelCase__				):
														SCREAMING_SNAKE_CASE													=					[self.__components[i] + other.component(lowerCAmelCase__				) for i in range(lowerCAmelCase__				)]
														return Vector(lowerCAmelCase__				)
								else:
														raise Exception('must have the same size'				)







		def __sub__(	self						,       lowerCAmelCase__				)     ->							Vector:
								SCREAMING_SNAKE_CASE													=					len(self				)
								if size == len(lowerCAmelCase__				):
														SCREAMING_SNAKE_CASE													=					[self.__components[i] - other.component(lowerCAmelCase__				) for i in range(lowerCAmelCase__				)]
														return Vector(lowerCAmelCase__				)
								else:  # error case
														raise Exception('must have the same size'				)







		@overload
		def __mul__(	self						,       lowerCAmelCase__				)     ->							Vector:
								...







		@overload
		def __mul__(	self						,       lowerCAmelCase__				)     ->							float:
								...







		def __mul__(	self						,       lowerCAmelCase__				)     ->							float | Vector:
								if isinstance(lowerCAmelCase__						,       (float, int)				):
														SCREAMING_SNAKE_CASE													=					[c * other for c in self.__components]
														return Vector(lowerCAmelCase__				)
								elif isinstance(lowerCAmelCase__						,       lowerCAmelCase__				) and len(self				) == len(lowerCAmelCase__				):
														SCREAMING_SNAKE_CASE													=					len(self				)
														SCREAMING_SNAKE_CASE													=					[self.__components[i] * other.component(lowerCAmelCase__				) for i in range(lowerCAmelCase__				)]
														return sum(lowerCAmelCase__				)
								else:  # error case
														raise Exception('invalid operand!'				)







		def 							__A						(	self				)     ->							Vector:
								return Vector(self.__components				)







		def 							__A						(	self						,       lowerCAmelCase__				)     ->							float:
								if isinstance(lowerCAmelCase__						,       lowerCAmelCase__				) and -len(self.__components				) <= i < len(self.__components				):
														return self.__components[i]
								else:
														raise Exception('index out of range'				)







		def 							__A						(	self						,       lowerCAmelCase__						,       lowerCAmelCase__				)     ->							None:
								assert -len(self.__components				) <= pos < len(self.__components				)
								SCREAMING_SNAKE_CASE													=					value







		def 							__A						(	self				)     ->							float:
								if len(self.__components				) == 0:
														raise Exception('Vector is empty'				)
								SCREAMING_SNAKE_CASE													=					[c**2 for c in self.__components]
								return math.sqrt(sum(lowerCAmelCase__				)				)







		def 							__A						(	self						,       lowerCAmelCase__						,       lowerCAmelCase__ = False				)     ->							float:
								SCREAMING_SNAKE_CASE													=					self * other
								SCREAMING_SNAKE_CASE													=					self.euclidean_length() * other.euclidean_length()
								if deg:
														return math.degrees(math.acos(num / den				)				)
								else:
														return math.acos(num / den				)





def     lowercase			(SCREAMING_SNAKE_CASE_		:				int  )   ->						Vector:
						assert isinstance(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )
						return Vector([0] * dimension  )


def     lowercase			(SCREAMING_SNAKE_CASE_		:				int ,			SCREAMING_SNAKE_CASE_		:				int  )   ->						Vector:
						assert isinstance(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  ) and (isinstance(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  ))
						SCREAMING_SNAKE_CASE													=					[0] * dimension
						SCREAMING_SNAKE_CASE													=					1
						return Vector(SCREAMING_SNAKE_CASE_  )


def     lowercase			(SCREAMING_SNAKE_CASE_		:				float ,			SCREAMING_SNAKE_CASE_		:				Vector ,			SCREAMING_SNAKE_CASE_		:				Vector  )   ->						Vector:
						assert (
						    isinstance(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )
						    and isinstance(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )
						    and (isinstance(SCREAMING_SNAKE_CASE_ ,			(int, float)  ))
						)
						return x * scalar + y


def     lowercase			(SCREAMING_SNAKE_CASE_		:				int ,			SCREAMING_SNAKE_CASE_		:				int ,			SCREAMING_SNAKE_CASE_		:				int  )   ->						Vector:
						random.seed(SCREAMING_SNAKE_CASE_  )
						SCREAMING_SNAKE_CASE													=					[random.randint(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  ) for _ in range(SCREAMING_SNAKE_CASE_  )]
						return Vector(SCREAMING_SNAKE_CASE_  )
class 					lowerCAmelCase	:




		'''simple docstring'''







		def __init__(	self						,       lowerCAmelCase__						,       lowerCAmelCase__						,       lowerCAmelCase__				)     ->							None:
								SCREAMING_SNAKE_CASE													=					matrix
								SCREAMING_SNAKE_CASE													=					w
								SCREAMING_SNAKE_CASE													=					h







		def __str__(	self				)     ->							str:
								SCREAMING_SNAKE_CASE													=					''
								for i in range(self.__height				):
														ans += "|"
														for j in range(self.__width				):
																				if j < self.__width - 1:
																										ans += str(self.__matrix[i][j]				) + ","
																				else:
																										ans += str(self.__matrix[i][j]				) + "|\n"
								return ans







		def __add__(	self						,       lowerCAmelCase__				)     ->							Matrix:
								if self.__width == other.width() and self.__height == other.height():
														SCREAMING_SNAKE_CASE													=					[]
														for i in range(self.__height				):
																				SCREAMING_SNAKE_CASE													=					[
																				    self.__matrix[i][j] + other.component(lowerCAmelCase__						,       lowerCAmelCase__				)
																				    for j in range(self.__width				)
																				]
																				matrix.append(lowerCAmelCase__				)
														return Matrix(lowerCAmelCase__						,       self.__width						,       self.__height				)
								else:
														raise Exception('matrix must have the same dimension!'				)







		def __sub__(	self						,       lowerCAmelCase__				)     ->							Matrix:
								if self.__width == other.width() and self.__height == other.height():
														SCREAMING_SNAKE_CASE													=					[]
														for i in range(self.__height				):
																				SCREAMING_SNAKE_CASE													=					[
																				    self.__matrix[i][j] - other.component(lowerCAmelCase__						,       lowerCAmelCase__				)
																				    for j in range(self.__width				)
																				]
																				matrix.append(lowerCAmelCase__				)
														return Matrix(lowerCAmelCase__						,       self.__width						,       self.__height				)
								else:
														raise Exception('matrices must have the same dimension!'				)







		@overload
		def __mul__(	self						,       lowerCAmelCase__				)     ->							Matrix:
								...







		@overload
		def __mul__(	self						,       lowerCAmelCase__				)     ->							Vector:
								...







		def __mul__(	self						,       lowerCAmelCase__				)     ->							Vector | Matrix:
								if isinstance(lowerCAmelCase__						,       lowerCAmelCase__				):  # matrix-vector
														if len(lowerCAmelCase__				) == self.__width:
																				SCREAMING_SNAKE_CASE													=					zero_vector(self.__height				)
																				for i in range(self.__height				):
																										SCREAMING_SNAKE_CASE													=					[
																										    self.__matrix[i][j] * other.component(lowerCAmelCase__				)
																										    for j in range(self.__width				)
																										]
																										ans.change_component(lowerCAmelCase__						,       sum(lowerCAmelCase__				)				)
																				return ans
														else:
																				raise Exception(
																				    'vector must have the same size as the '
																				    'number of columns of the matrix!'				)
								elif isinstance(lowerCAmelCase__						,       (int, float)				):  # matrix-scalar
														SCREAMING_SNAKE_CASE													=					[
														    [self.__matrix[i][j] * other for j in range(self.__width				)]
														    for i in range(self.__height				)
														]
														return Matrix(lowerCAmelCase__						,       self.__width						,       self.__height				)
								return None







		def 							__A						(	self				)     ->							int:
								return self.__height







		def 							__A						(	self				)     ->							int:
								return self.__width







		def 							__A						(	self						,       lowerCAmelCase__						,       lowerCAmelCase__				)     ->							float:
								if 0 <= x < self.__height and 0 <= y < self.__width:
														return self.__matrix[x][y]
								else:
														raise Exception('change_component: indices out of bounds'				)







		def 							__A						(	self						,       lowerCAmelCase__						,       lowerCAmelCase__						,       lowerCAmelCase__				)     ->							None:
								if 0 <= x < self.__height and 0 <= y < self.__width:
														SCREAMING_SNAKE_CASE													=					value
								else:
														raise Exception('change_component: indices out of bounds'				)







		def 							__A						(	self						,       lowerCAmelCase__						,       lowerCAmelCase__				)     ->							float:
								if self.__height != self.__width:
														raise Exception('Matrix is not square'				)
								SCREAMING_SNAKE_CASE													=					self.__matrix[:x] + self.__matrix[x + 1 :]
								for i in range(len(lowerCAmelCase__				)				):
														SCREAMING_SNAKE_CASE													=					minor[i][:y] + minor[i][y + 1 :]
								return Matrix(lowerCAmelCase__						,       self.__width - 1						,       self.__height - 1				).determinant()







		def 							__A						(	self						,       lowerCAmelCase__						,       lowerCAmelCase__				)     ->							float:
								if self.__height != self.__width:
														raise Exception('Matrix is not square'				)
								if 0 <= x < self.__height and 0 <= y < self.__width:
														return (-1) ** (x + y) * self.minor(lowerCAmelCase__						,       lowerCAmelCase__				)
								else:
														raise Exception('Indices out of bounds'				)







		def 							__A						(	self				)     ->							float:
								if self.__height != self.__width:
														raise Exception('Matrix is not square'				)
								if self.__height < 1:
														raise Exception('Matrix has no element'				)
								elif self.__height == 1:
														return self.__matrix[0][0]
								elif self.__height == 2:
														return (
														    self.__matrix[0][0] * self.__matrix[1][1]
														    - self.__matrix[0][1] * self.__matrix[1][0]
														)
								else:
														SCREAMING_SNAKE_CASE													=					[
														    self.__matrix[0][y] * self.cofactor(0						,       lowerCAmelCase__				) for y in range(self.__width				)
														]
														return sum(lowerCAmelCase__				)





def     lowercase			(SCREAMING_SNAKE_CASE_		:				int  )   ->						Matrix:
						SCREAMING_SNAKE_CASE													=					[[0] * n for _ in range(SCREAMING_SNAKE_CASE_  )]
						return Matrix(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )


def     lowercase			(SCREAMING_SNAKE_CASE_		:				int ,			SCREAMING_SNAKE_CASE_		:				int ,			SCREAMING_SNAKE_CASE_		:				int ,			SCREAMING_SNAKE_CASE_		:				int  )   ->						Matrix:
						random.seed(SCREAMING_SNAKE_CASE_  )
						SCREAMING_SNAKE_CASE													=					[
						    [random.randint(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  ) for _ in range(SCREAMING_SNAKE_CASE_  )] for _ in range(SCREAMING_SNAKE_CASE_  )
						]
						return Matrix(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )


