
def 		lowercase_     (  A__ = 1000						)				->				int:
    """simple docstring"""

    snake_case						=   0
    snake_case						=   0
    while 1:
        num += 3
        if num >= n:
            break
        total += num
        num += 2
        if num >= n:
            break
        total += num
        num += 1
        if num >= n:
            break
        total += num
        num += 3
        if num >= n:
            break
        total += num
        num += 1
        if num >= n:
            break
        total += num
        num += 2
        if num >= n:
            break
        total += num
        num += 3
        if num >= n:
            break
        total += num
    return total


if __name__ == "__main__":
   print(f"{solution() = }")



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       =					[[12, 10], [3, 9]]
_A       =					[[3, 4], [7, 4]]
_A       =					[[3, 0, 2], [2, 0, -2], [0, 1, 1]]
_A       =					[[3, 0, -2], [2, 0, 2], [0, 1, 1]]
_A       =					[[3, 0, 2], [2, 0, -2], [0, 1, 1], [2, 0, -2]]
_A       =					[1]
_A       =					[2]

_A       =					logging.getLogger()
_A       =					logging.DEBUG
_A       =					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 		lowercase_     (  A__					,						A__						)				->				Dict:
    """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'						)
        snake_case						=   (np.array(A__						) + np.array(A__						)).tolist()
        snake_case						=   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 		lowercase_     (  A__					,						A__						)				->				List[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_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'						)
        snake_case						=   (np.array(A__						) - np.array(A__						)).tolist()
        snake_case						=   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 		lowercase_     (  A__					,						A__						)				->				Union[str, Any]:
    """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'						)
        snake_case						=   (np.matmul(A__					,						A__						)).tolist()
        snake_case						=   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 		lowercase_     (  )				->				int:
    """simple docstring"""

    snake_case						=   (3.5 * np.array(A__						)).tolist()
    snake_case						=   matop.scalar_multiply(A__					,						3.5						)
    assert theo == act



@pytest.mark.mat_ops
def 		lowercase_     (  )				->				Any:
    """simple docstring"""

    snake_case						=   (np.identity(5						)).tolist()
    snake_case						=   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 		lowercase_     (  A__						)				->				List[str]:
    """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:
        snake_case						=   (np.transpose(A__						)).tolist()
        snake_case						=   matop.transpose(A__					,						return_map=A__						)
        assert theo == act

