




import logging

# standard libraries
import sys

import numpy as np
import pytest  # type: ignore

# Custom/local libraries
from matrix import matrix_operation as matop

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

lowerCamelCase_  						=   logging.getLogger()
lowerCamelCase_  						=   logging.DEBUG
lowerCamelCase_  						=   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 	UpperCAmelCase_    (	__UpperCamelCase,				__UpperCamelCase	):
    if (np.array(__UpperCamelCase	)).shape < (2, 2) or (np.array(__UpperCamelCase	)).shape < (2, 2):
        with pytest.raises(__UpperCamelCase	):
            logger.info(f"""\n\t{test_addition.__name__} returned integer"""	)
            matop.add(__UpperCamelCase,				__UpperCamelCase	)
    elif (np.array(__UpperCamelCase	)).shape == (np.array(__UpperCamelCase	)).shape:
        logger.info(f"""\n\t{test_addition.__name__} with same matrix dims"""	)
        SCREAMING_SNAKE_CASE__								=(np.array(__UpperCamelCase	) + np.array(__UpperCamelCase	)).tolist()
        SCREAMING_SNAKE_CASE__								=matop.add(__UpperCamelCase,				__UpperCamelCase	)
        assert theo == act
    else:
        with pytest.raises(__UpperCamelCase	):
            logger.info(f"""\n\t{test_addition.__name__} with different matrix dims"""	)
            matop.add(__UpperCamelCase,				__UpperCamelCase	)



@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 	UpperCAmelCase_    (	__UpperCamelCase,				__UpperCamelCase	):
    if (np.array(__UpperCamelCase	)).shape < (2, 2) or (np.array(__UpperCamelCase	)).shape < (2, 2):
        with pytest.raises(__UpperCamelCase	):
            logger.info(f"""\n\t{test_subtraction.__name__} returned integer"""	)
            matop.subtract(__UpperCamelCase,				__UpperCamelCase	)
    elif (np.array(__UpperCamelCase	)).shape == (np.array(__UpperCamelCase	)).shape:
        logger.info(f"""\n\t{test_subtraction.__name__} with same matrix dims"""	)
        SCREAMING_SNAKE_CASE__								=(np.array(__UpperCamelCase	) - np.array(__UpperCamelCase	)).tolist()
        SCREAMING_SNAKE_CASE__								=matop.subtract(__UpperCamelCase,				__UpperCamelCase	)
        assert theo == act
    else:
        with pytest.raises(__UpperCamelCase	):
            logger.info(f"""\n\t{test_subtraction.__name__} with different matrix dims"""	)
            assert matop.subtract(__UpperCamelCase,				__UpperCamelCase	)



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



@pytest.mark.mat_ops
def 	UpperCAmelCase_    (	):
    SCREAMING_SNAKE_CASE__								=(3.5 * np.array(__UpperCamelCase	)).tolist()
    SCREAMING_SNAKE_CASE__								=matop.scalar_multiply(__UpperCamelCase,				3.5	)
    assert theo == act



@pytest.mark.mat_ops
def 	UpperCAmelCase_    (	):
    SCREAMING_SNAKE_CASE__								=(np.identity(5	)).tolist()
    SCREAMING_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 	UpperCAmelCase_    (	__UpperCamelCase	):
    if (np.array(__UpperCamelCase	)).shape < (2, 2):
        with pytest.raises(__UpperCamelCase	):
            logger.info(f"""\n\t{test_transpose.__name__} returned integer"""	)
            matop.transpose(__UpperCamelCase	)
    else:
        SCREAMING_SNAKE_CASE__								=(np.transpose(__UpperCamelCase	)).tolist()
        SCREAMING_SNAKE_CASE__								=matop.transpose(__UpperCamelCase,				return_map=__UpperCamelCase	)
        assert theo == act












from __future__ import annotations

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

lowerCamelCase_  						=   TypeVar("T", bound=bool)
class       __a					( Generic[T]     ):


     """simple docstring"""


     def __init__(	self			: Union[str, Any]				,_UpperCamelCase			: T						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=value
         SCREAMING_SNAKE_CASE__								=None
         SCREAMING_SNAKE_CASE__								=None




     @property
     def   __A				(	self			: Optional[Any]						)		->   T:


         '''simple docstring'''





         return self._value




     @staticmethod
     def   __A				(	_UpperCamelCase			: RandomizedHeapNode[T] | None				,_UpperCamelCase			: RandomizedHeapNode[T] | None						)		->   RandomizedHeapNode[T] | None:


         '''simple docstring'''





         if not roota:
             return roota

         if not roota:
             return roota

         if roota.value > roota.value:
             SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__								=roota, roota

         if random.choice([True, False]						):
             SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__								=roota.right, roota.left

         SCREAMING_SNAKE_CASE__								=RandomizedHeapNode.merge(roota.left				,_UpperCamelCase						)

         return roota






class       __a					( Generic[T]     ):


     """simple docstring"""


     def __init__(	self			: Any				,_UpperCamelCase			: Iterable[T] | None = ()						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=None

         if data:
             for item in data:
                 self.insert(_UpperCamelCase						)




     def   __A				(	self			: Union[str, Any]				,_UpperCamelCase			: T						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=RandomizedHeapNode.merge(self._root				,RandomizedHeapNode(_UpperCamelCase						)						)




     def   __A				(	self			: Dict						)		->   T | None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self.top()

         if self._root is None:
             return None

         SCREAMING_SNAKE_CASE__								=RandomizedHeapNode.merge(self._root.left				,self._root.right						)

         return result




     def   __A				(	self			: Optional[Any]						)		->   T:


         '''simple docstring'''





         if not self._root:
             raise IndexError("""Can't get top element for the empty heap."""						)
         return self._root.value




     def   __A				(	self			: Optional[int]						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=None




     def   __A				(	self			: List[Any]						)		->   list[Any]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=[]
         while self:
             result.append(self.pop()						)

         return result




     def __bool__(	self			: Tuple						)		->   bool:


         '''simple docstring'''





         return self._root is not None


if __name__ == "__main__":
    import doctest

    doctest.testmod()






