



'''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

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

SCREAMING_SNAKE_CASE__     : Tuple				=   logging.getLogger()
SCREAMING_SNAKE_CASE__     : Any				=   logging.DEBUG
SCREAMING_SNAKE_CASE__     : List[str]				=   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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		if (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2) or (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2):
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						logger.info(F'\n\t{test_addition.__name__} returned integer'     )
						matop.add(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
		elif (np.array(SCREAMING_SNAKE_CASE     )).shape == (np.array(SCREAMING_SNAKE_CASE     )).shape:
				logger.info(F'\n\t{test_addition.__name__} with same matrix dims'     )
				SCREAMING_SNAKE_CASE_						:List[Any]										=      (np.array(SCREAMING_SNAKE_CASE     ) + np.array(SCREAMING_SNAKE_CASE     )).tolist()
				SCREAMING_SNAKE_CASE_						:int										=      matop.add(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
				assert theo == act
		else:
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						logger.info(F'\n\t{test_addition.__name__} with different matrix dims'     )
						matop.add(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )







@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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		if (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2) or (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2):
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						logger.info(F'\n\t{test_subtraction.__name__} returned integer'     )
						matop.subtract(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
		elif (np.array(SCREAMING_SNAKE_CASE     )).shape == (np.array(SCREAMING_SNAKE_CASE     )).shape:
				logger.info(F'\n\t{test_subtraction.__name__} with same matrix dims'     )
				SCREAMING_SNAKE_CASE_						:str										=      (np.array(SCREAMING_SNAKE_CASE     ) - np.array(SCREAMING_SNAKE_CASE     )).tolist()
				SCREAMING_SNAKE_CASE_						:Tuple										=      matop.subtract(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
				assert theo == act
		else:
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						logger.info(F'\n\t{test_subtraction.__name__} with different matrix dims'     )
						assert matop.subtract(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )







@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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		if (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2) or (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2):
				logger.info(F'\n\t{test_multiplication.__name__} returned integer'     )
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						matop.add(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
		elif (np.array(SCREAMING_SNAKE_CASE     )).shape == (np.array(SCREAMING_SNAKE_CASE     )).shape:
				logger.info(F'\n\t{test_multiplication.__name__} meets dim requirements'     )
				SCREAMING_SNAKE_CASE_						:Any										=      (np.matmul(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )).tolist()
				SCREAMING_SNAKE_CASE_						:Any										=      matop.multiply(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
				assert theo == act
		else:
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						logger.info(
						    F'\n\t{test_multiplication.__name__} does not meet dim requirements'     )
						assert matop.subtract(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )







@pytest.mark.mat_ops
def  SCREAMING_SNAKE_CASE__ (				):
		SCREAMING_SNAKE_CASE_						:str										=      (3.5 * np.array(SCREAMING_SNAKE_CASE     )).tolist()
		SCREAMING_SNAKE_CASE_						:Union[str, Any]										=      matop.scalar_multiply(SCREAMING_SNAKE_CASE ,		3.5     )
		assert theo == act







@pytest.mark.mat_ops
def  SCREAMING_SNAKE_CASE__ (				):
		SCREAMING_SNAKE_CASE_						:Optional[int]										=      (np.identity(5     )).tolist()
		SCREAMING_SNAKE_CASE_						:Any										=      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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE     ):
		if (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2):
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						logger.info(F'\n\t{test_transpose.__name__} returned integer'     )
						matop.transpose(SCREAMING_SNAKE_CASE     )
		else:
				SCREAMING_SNAKE_CASE_						:Union[str, Any]										=      (np.transpose(SCREAMING_SNAKE_CASE     )).tolist()
				SCREAMING_SNAKE_CASE_						:Dict										=      matop.transpose(SCREAMING_SNAKE_CASE ,		return_map=SCREAMING_SNAKE_CASE     )
				assert theo == act






import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


snake_case_					:					Dict       						=			logging.get_logger(__name__)







class __snake_case     (     a						):







   def __init__( self						:		Union[str, Any]   ,		*_snake_case						:		int   ,		**_snake_case						:		List[str]):

        """simple docstring"""


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






