





"""simple docstring"""




from typing import Dict, Iterable, List, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
    center_crop,
    get_resize_output_image_size,
    normalize,
    rescale,
    resize,
    to_channel_dimension_format,
)
from ...image_utils import (
    IMAGENET_DEFAULT_MEAN,
    IMAGENET_DEFAULT_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, logging


UpperCAmelCase__  :     Any   			=logging.get_logger(__name__)

class  __A       (  a      ):
				__A								=			["""pixel_values"""]


				def __init__(						self				,	UpperCAmelCase_ = True				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = PILImageResampling.BICUBIC				,	UpperCAmelCase_ = True				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = True				,	UpperCAmelCase_ = 1 / 255				,	UpperCAmelCase_ = True				,	UpperCAmelCase_ = IMAGENET_DEFAULT_MEAN				,	UpperCAmelCase_ = IMAGENET_DEFAULT_STD				,	**UpperCAmelCase_				,	):
								super().__init__(**UpperCAmelCase_							)
								lowerCamelCase			=size if size is not None else {"""shortest_edge""": 224}
								lowerCamelCase			=get_size_dict(UpperCAmelCase_				,	default_to_square=UpperCAmelCase_							)
								lowerCamelCase			=crop_size if crop_size is not None else {"""height""": 224, """width""": 224}
								lowerCamelCase			=get_size_dict(UpperCAmelCase_				,	param_name="""crop_size"""							)

								lowerCamelCase			=do_resize
								lowerCamelCase			=size
								lowerCamelCase			=resample
								lowerCamelCase			=do_center_crop
								lowerCamelCase			=crop_size
								lowerCamelCase			=do_rescale
								lowerCamelCase			=rescale_factor
								lowerCamelCase			=do_normalize
								lowerCamelCase			=image_mean if image_mean is not None else IMAGENET_DEFAULT_MEAN
								lowerCamelCase			=image_std if image_std is not None else IMAGENET_DEFAULT_STD


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_ = PILImageResampling.BICUBIC				,	UpperCAmelCase_ = None				,	**UpperCAmelCase_				,	):
								lowerCamelCase			=get_size_dict(UpperCAmelCase_				,	default_to_square=UpperCAmelCase_							)
								# size_dict is a dict with either keys "height" and "width" or "shortest_edge"
								if "shortest_edge" in size:
												lowerCamelCase			=int((256 / 224) * size["""shortest_edge"""]							)
												lowerCamelCase			=get_resize_output_image_size(UpperCAmelCase_				,	size=UpperCAmelCase_				,	default_to_square=UpperCAmelCase_							)
												lowerCamelCase			={"""height""": output_size[0], """width""": output_size[1]}
								if "height" not in size_dict or "width" not in size_dict:
												raise ValueError(
												    f"""Size dict must have keys 'height' and 'width' or 'shortest_edge'. Got {size_dict.keys()}"""							)
								return resize(
								    UpperCAmelCase_				,	size=(size_dict["""height"""], size_dict["""width"""])				,	resample=UpperCAmelCase_				,	data_format=UpperCAmelCase_				,	**UpperCAmelCase_							)


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_ = None				,	**UpperCAmelCase_				,	):
								lowerCamelCase			=get_size_dict(UpperCAmelCase_							)
								if "height" not in size or "width" not in size:
												raise ValueError(f"""Size dict must have keys 'height' and 'width'. Got {size.keys()}"""							)
								return center_crop(UpperCAmelCase_				,	size=(size["""height"""], size["""width"""])				,	data_format=UpperCAmelCase_				,	**UpperCAmelCase_							)


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_ = None				,	**UpperCAmelCase_				,	):
								return rescale(UpperCAmelCase_				,	scale=UpperCAmelCase_				,	data_format=UpperCAmelCase_				,	**UpperCAmelCase_							)


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_ = None				,	**UpperCAmelCase_				,	):
								return normalize(UpperCAmelCase_				,	mean=UpperCAmelCase_				,	std=UpperCAmelCase_				,	data_format=UpperCAmelCase_				,	**UpperCAmelCase_							)


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = ChannelDimension.FIRST				,	**UpperCAmelCase_				,	):
								lowerCamelCase			=do_resize if do_resize is not None else self.do_resize
								lowerCamelCase			=resample if resample is not None else self.resample
								lowerCamelCase			=do_center_crop if do_center_crop is not None else self.do_center_crop
								lowerCamelCase			=do_rescale if do_rescale is not None else self.do_rescale
								lowerCamelCase			=rescale_factor if rescale_factor is not None else self.rescale_factor
								lowerCamelCase			=do_normalize if do_normalize is not None else self.do_normalize
								lowerCamelCase			=image_mean if image_mean is not None else self.image_mean
								lowerCamelCase			=image_std if image_std is not None else self.image_std

								lowerCamelCase			=size if size is not None else self.size
								lowerCamelCase			=get_size_dict(UpperCAmelCase_				,	default_to_square=UpperCAmelCase_							)
								lowerCamelCase			=crop_size if crop_size is not None else self.crop_size
								lowerCamelCase			=get_size_dict(UpperCAmelCase_				,	param_name="""crop_size"""							)

								lowerCamelCase			=make_list_of_images(UpperCAmelCase_							)

								if not valid_images(UpperCAmelCase_							):
												raise ValueError(
												    """Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, """
												    """torch.Tensor, tf.Tensor or jax.ndarray."""							)

								if do_resize and size is None:
												raise ValueError("""Size must be specified if do_resize is True."""							)

								if do_center_crop and crop_size is None:
												raise ValueError("""Crop size must be specified if do_center_crop is True."""							)

								if do_rescale and rescale_factor is None:
												raise ValueError("""Rescale factor must be specified if do_rescale is True."""							)

								if do_normalize and (image_mean is None or image_std is None):
												raise ValueError("""Image mean and std must be specified if do_normalize is True."""							)

								# All transformations expect numpy arrays.
								lowerCamelCase			=[to_numpy_array(UpperCAmelCase_							) for image in images]

								if do_resize:
												lowerCamelCase			=[self.resize(UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_							) for image in images]

								if do_center_crop:
												lowerCamelCase			=[self.center_crop(UpperCAmelCase_				,	UpperCAmelCase_							) for image in images]

								if do_rescale:
												lowerCamelCase			=[self.rescale(UpperCAmelCase_				,	UpperCAmelCase_							) for image in images]

								if do_normalize:
												lowerCamelCase			=[self.normalize(UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_							) for image in images]

								lowerCamelCase			=[to_channel_dimension_format(UpperCAmelCase_				,	UpperCAmelCase_							) for image in images]

								lowerCamelCase			={"""pixel_values""": images}
								return BatchFeature(data=UpperCAmelCase_				,	tensor_type=UpperCAmelCase_							)












import unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)

class  __A       (  unittest.TestCase      ):


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([1, 2, 3]							)
								self.assertEqual(x.component(0							)				,	1							)
								self.assertEqual(x.component(2							)				,	3							)
								lowerCamelCase			=Vector()


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([0, 0, 0, 0, 0, 1]							)
								self.assertEqual(str(UpperCAmelCase_							)				,	"""(0,0,0,0,0,1)"""							)


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([1, 2, 3, 4]							)
								self.assertEqual(len(UpperCAmelCase_							)				,	4							)


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([1, 2]							)
								lowerCamelCase			=Vector([1, 2, 3, 4, 5]							)
								lowerCamelCase			=Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]							)
								lowerCamelCase			=Vector([1, -1, 1, -1, 2, -3, 4, -5]							)
								self.assertAlmostEqual(x.euclidean_length()				,	2.2_3_6				,	3							)
								self.assertAlmostEqual(y.euclidean_length()				,	7.4_1_6				,	3							)
								self.assertEqual(z.euclidean_length()				,	0							)
								self.assertAlmostEqual(w.euclidean_length()				,	7.6_1_6				,	3							)


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([1, 2, 3]							)
								lowerCamelCase			=Vector([1, 1, 1]							)
								self.assertEqual((x + y).component(0							)				,	2							)
								self.assertEqual((x + y).component(1							)				,	3							)
								self.assertEqual((x + y).component(2							)				,	4							)


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([1, 2, 3]							)
								lowerCamelCase			=Vector([1, 1, 1]							)
								self.assertEqual((x - y).component(0							)				,	0							)
								self.assertEqual((x - y).component(1							)				,	1							)
								self.assertEqual((x - y).component(2							)				,	2							)


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([1, 2, 3]							)
								lowerCamelCase			=Vector([2, -1, 4]							)  # for test of dot product
								lowerCamelCase			=Vector([1, -2, -1]							)
								self.assertEqual(str(x * 3.0							)				,	"""(3.0,6.0,9.0)"""							)
								self.assertEqual((a * b)				,	0							)


				def _snake_case    (						self							):
								self.assertEqual(str(zero_vector(10							)							).count("""0"""							)				,	10							)


				def _snake_case    (						self							):
								self.assertEqual(str(unit_basis_vector(3				,	1							)							)				,	"""(0,1,0)"""							)


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([1, 2, 3]							)
								lowerCamelCase			=Vector([1, 0, 1]							)
								self.assertEqual(str(axpy(2				,	UpperCAmelCase_				,	UpperCAmelCase_							)							)				,	"""(3,4,7)"""							)


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([1, 0, 0, 0, 0, 0]							)
								lowerCamelCase			=x.copy()
								self.assertEqual(str(UpperCAmelCase_							)				,	str(UpperCAmelCase_							)							)


				def _snake_case    (						self							):
								lowerCamelCase			=Vector([1, 0, 0]							)
								x.change_component(0				,	0							)
								x.change_component(1				,	1							)
								self.assertEqual(str(UpperCAmelCase_							)				,	"""(0,1,0)"""							)


				def _snake_case    (						self							):
								lowerCamelCase			=Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]				,	3				,	3							)
								self.assertEqual("""|1,2,3|\n|2,4,5|\n|6,7,8|\n"""				,	str(UpperCAmelCase_							)							)


				def _snake_case    (						self							):
								lowerCamelCase			=Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]				,	3				,	3							)
								lowerCamelCase			=[[-3, -14, -10], [-5, -10, -5], [-2, -1, 0]]
								for x in range(a.height()							):
												for y in range(a.width()							):
																self.assertEqual(minors[x][y]				,	a.minor(UpperCAmelCase_				,	UpperCAmelCase_							)							)


				def _snake_case    (						self							):
								lowerCamelCase			=Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]				,	3				,	3							)
								lowerCamelCase			=[[-3, 14, -10], [5, -10, 5], [-2, 1, 0]]
								for x in range(a.height()							):
												for y in range(a.width()							):
																self.assertEqual(cofactors[x][y]				,	a.cofactor(UpperCAmelCase_				,	UpperCAmelCase_							)							)


				def _snake_case    (						self							):
								lowerCamelCase			=Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]				,	3				,	3							)
								self.assertEqual(-5				,	a.determinant()							)


				def _snake_case    (						self							):
								lowerCamelCase			=Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]				,	3				,	3							)
								lowerCamelCase			=Vector([1, 2, 3]							)
								self.assertEqual("""(14,32,50)"""				,	str(a * x							)							)
								self.assertEqual("""|2,4,6|\n|8,10,12|\n|14,16,18|\n"""				,	str(a * 2							)							)


				def _snake_case    (						self							):
								lowerCamelCase			=Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]				,	3				,	3							)
								a.change_component(0				,	2				,	5							)
								self.assertEqual("""|1,2,5|\n|2,4,5|\n|6,7,8|\n"""				,	str(UpperCAmelCase_							)							)


				def _snake_case    (						self							):
								lowerCamelCase			=Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]				,	3				,	3							)
								self.assertEqual(7				,	a.component(2				,	1							)				,	0.0_1							)


				def _snake_case    (						self							):
								lowerCamelCase			=Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]				,	3				,	3							)
								lowerCamelCase			=Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]				,	3				,	3							)
								self.assertEqual("""|2,4,10|\n|4,8,10|\n|12,14,18|\n"""				,	str(a + b							)							)


				def _snake_case    (						self							):
								lowerCamelCase			=Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]				,	3				,	3							)
								lowerCamelCase			=Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]				,	3				,	3							)
								self.assertEqual("""|0,0,-4|\n|0,0,0|\n|0,0,-2|\n"""				,	str(a - b							)							)


				def _snake_case    (						self							):
								self.assertEqual(
								    """|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n"""				,	str(square_zero_matrix(5							)							)				,	)


if __name__ == "__main__":
							unittest.main()





