



"""simple docstring"""

import logging

# standard libraries
import sys

import numpy as np
import pytest  # type: ignore

# Custom/local libraries
from matrix import matrix_operation as matop

A_	:						str				=			[[12, 10], [3, 9]]
A_	:						Tuple				=			[[3, 4], [7, 4]]
A_	:						Dict				=			[[3, 0, 2], [2, 0, -2], [0, 1, 1]]
A_	:						str				=			[[3, 0, -2], [2, 0, 2], [0, 1, 1]]
A_	:						str				=			[[3, 0, 2], [2, 0, -2], [0, 1, 1], [2, 0, -2]]
A_	:						List[Any]				=			[1]
A_	:						List[Any]				=			[2]

A_	:						int				=			logging.getLogger()
A_	:						Union[str, Any]				=			logging.DEBUG
A_	:						Tuple				=			logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ('mat1', 'mat2')       ,		[(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]    )
def    __snake_case       (  __A			:	Optional[int]       ,		__A			:	List[str]    )    ->					Optional[Any]:






				'''simple docstring'''
				if (np.array(__A    )).shape < (2, 2) or (np.array(__A    )).shape < (2, 2):
								with pytest.raises(__A    ):
												logger.info(F"""\n\t{test_addition.__name__} returned integer"""    )
												matop.add(__A       ,		__A    )
				elif (np.array(__A    )).shape == (np.array(__A    )).shape:
								logger.info(F"""\n\t{test_addition.__name__} with same matrix dims"""    )
								SCREAMING_SNAKE_CASE	:       List[str] 							=    (np.array(__A    ) + np.array(__A    )).tolist()
								SCREAMING_SNAKE_CASE	:       Optional[Any] 							=    matop.add(__A       ,		__A    )
								assert theo == act
				else:
								with pytest.raises(__A    ):
												logger.info(F"""\n\t{test_addition.__name__} with different matrix dims"""    )
												matop.add(__A       ,		__A    )
@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ('mat1', 'mat2')       ,		[(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]    )
def    __snake_case       (  __A			:	Tuple       ,		__A			:	Optional[int]    )    ->					str:






				'''simple docstring'''
				if (np.array(__A    )).shape < (2, 2) or (np.array(__A    )).shape < (2, 2):
								with pytest.raises(__A    ):
												logger.info(F"""\n\t{test_subtraction.__name__} returned integer"""    )
												matop.subtract(__A       ,		__A    )
				elif (np.array(__A    )).shape == (np.array(__A    )).shape:
								logger.info(F"""\n\t{test_subtraction.__name__} with same matrix dims"""    )
								SCREAMING_SNAKE_CASE	:       int 							=    (np.array(__A    ) - np.array(__A    )).tolist()
								SCREAMING_SNAKE_CASE	:       Dict 							=    matop.subtract(__A       ,		__A    )
								assert theo == act
				else:
								with pytest.raises(__A    ):
												logger.info(F"""\n\t{test_subtraction.__name__} with different matrix dims"""    )
												assert matop.subtract(__A       ,		__A    )
@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ('mat1', 'mat2')       ,		[(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]    )
def    __snake_case       (  __A			:	List[str]       ,		__A			:	List[str]    )    ->					Optional[int]:






				'''simple docstring'''
				if (np.array(__A    )).shape < (2, 2) or (np.array(__A    )).shape < (2, 2):
								logger.info(F"""\n\t{test_multiplication.__name__} returned integer"""    )
								with pytest.raises(__A    ):
												matop.add(__A       ,		__A    )
				elif (np.array(__A    )).shape == (np.array(__A    )).shape:
								logger.info(F"""\n\t{test_multiplication.__name__} meets dim requirements"""    )
								SCREAMING_SNAKE_CASE	:       List[Any] 							=    (np.matmul(__A       ,		__A    )).tolist()
								SCREAMING_SNAKE_CASE	:       Union[str, Any] 							=    matop.multiply(__A       ,		__A    )
								assert theo == act
				else:
								with pytest.raises(__A    ):
												logger.info(
												    F"""\n\t{test_multiplication.__name__} does not meet dim requirements"""    )
												assert matop.subtract(__A       ,		__A    )
@pytest.mark.mat_ops
def    __snake_case       (  )    ->					Tuple:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE	:       Any 							=    (3.5 * np.array(__A    )).tolist()
				SCREAMING_SNAKE_CASE	:       Optional[Any] 							=    matop.scalar_multiply(__A       ,		3.5    )
				assert theo == act
@pytest.mark.mat_ops
def    __snake_case       (  )    ->					str:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE	:       Optional[int] 							=    (np.identity(5    )).tolist()
				SCREAMING_SNAKE_CASE	:       Tuple 							=    matop.identity(5    )
				assert theo == act







@pytest.mark.mat_ops
@pytest.mark.parametrize('mat'       ,		[mat_a, mat_b, mat_c, mat_d, mat_e, mat_f]    )
def    __snake_case       (  __A			:	Optional[int]    )    ->					Any:






				'''simple docstring'''
				if (np.array(__A    )).shape < (2, 2):
								with pytest.raises(__A    ):
												logger.info(F"""\n\t{test_transpose.__name__} returned integer"""    )
												matop.transpose(__A    )
				else:
								SCREAMING_SNAKE_CASE	:       List[str] 							=    (np.transpose(__A    )).tolist()
								SCREAMING_SNAKE_CASE	:       Union[str, Any] 							=    matop.transpose(__A       ,		return_map=__A    )
								assert theo == act










"""simple docstring"""

import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


A_	:						Any				=			logging.get_logger(__name__)
class 						lowerCAmelCase__	(  _lowerCamelCase   ):


	'''simple docstring'''







	def __init__(			self							:					Tuple    ,					*_SCREAMING_SNAKE_CASE							:					Optional[int]    ,					**_SCREAMING_SNAKE_CASE							:					Optional[int]						)	->  None:





					"""simple docstring"""


					warnings.warn(
					    'The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
					    ' Please use ConvNextImageProcessor instead.'    ,					_SCREAMING_SNAKE_CASE    ,					)
					super().__init__(*_SCREAMING_SNAKE_CASE    ,					**_SCREAMING_SNAKE_CASE						)





