示例#1
0
def test_BinaryHeap():

    max_heap = BinaryHeap(heap_property="max")

    assert max_heap.extract() is None

    max_heap.insert(100, 100)
    max_heap.insert(19, 19)
    max_heap.insert(36, 36)
    max_heap.insert(17, 17)
    max_heap.insert(3, 3)
    max_heap.insert(25, 25)
    max_heap.insert(1, 1)
    max_heap.insert(2, 2)
    max_heap.insert(7, 7)
    assert str(max_heap) == \
    ("[(1, 100, 100, 2), (3, 19, 19, 4), "
    "(5, 36, 36, 6), (7, 17, 17, 8), "
    "(None, 3, 3, None), (None, 25, 25, None), "
    "(None, 1, 1, None), (None, 2, 2, None), (None, 7, 7, None)]")

    expected_extracted_element = max_heap.heap[0].key
    assert max_heap.extract().key == expected_extracted_element

    expected_sorted_elements = [36, 25, 19, 17, 7, 3, 2, 1]
    sorted_elements = []
    for _ in range(8):
        sorted_elements.append(max_heap.extract().key)
    assert expected_sorted_elements == sorted_elements

    elements = [
        TreeNode(7, 7),
        TreeNode(25, 25),
        TreeNode(100, 100),
        TreeNode(1, 1),
        TreeNode(2, 2),
        TreeNode(3, 3),
        TreeNode(17, 17),
        TreeNode(19, 19),
        TreeNode(36, 36)
    ]
    min_heap = BinaryHeap(elements=elements, heap_property="min")
    expected_extracted_element = min_heap.heap[0].key
    assert min_heap.extract().key == expected_extracted_element

    expected_sorted_elements = [2, 3, 7, 17, 19, 25, 36, 100]
    sorted_elements = [min_heap.extract().key for _ in range(8)]
    assert expected_sorted_elements == sorted_elements
示例#2
0
def heapsort(array, **kwargs):
    """
    Implements Heapsort algorithm.

    Parameters
    ==========

    array: Array
        The array which is to be sorted.
    start: int
        The starting index of the portion
        which is to be sorted.
        Optional, by default 0
    end: int
        The ending index of the portion which
        is to be sorted.
        Optional, by default the index
        of the last position filled.

    Examples
    ========

    >>> from pydatastructs import OneDimensionalArray, heapsort
    >>> arr = OneDimensionalArray(int,[3, 2, 1])
    >>> heapsort(arr)
    >>> [arr[0], arr[1], arr[2]]
    [1, 2, 3]

    References
    ==========

    .. [1] https://en.wikipedia.org/wiki/Heapsort

    Note
    ====

    This function does not support custom comparators as is the case with
    other sorting functions in this file.
    """
    from pydatastructs.trees.heaps import BinaryHeap

    start = kwargs.get('start', 0)
    end = kwargs.get('end', len(array) - 1)

    h = BinaryHeap(heap_property="min")
    for i in range(start, end + 1):
        if array[i] is not None:
            h.insert(array[i])
        array[i] = None

    i = start
    while not h.is_empty:
        array[i] = h.extract().key
        i += 1

    if _check_type(array, DynamicArray):
        array._modify(force=True)
def test_BinaryHeap():

    max_heap = BinaryHeap(heap_property="max")

    assert raises(IndexError, lambda: max_heap.extract())

    max_heap.insert(100, 100)
    max_heap.insert(19, 19)
    max_heap.insert(36, 36)
    max_heap.insert(17, 17)
    max_heap.insert(3, 3)
    max_heap.insert(25, 25)
    max_heap.insert(1, 1)
    max_heap.insert(2, 2)
    max_heap.insert(7, 7)
    assert str(max_heap) == \
        ("[(100, 100, [1, 2]), (19, 19, [3, 4]), "
        "(36, 36, [5, 6]), (17, 17, [7, 8]), "
        "(3, 3, []), (25, 25, []), (1, 1, []), "
        "(2, 2, []), (7, 7, [])]")

    assert max_heap.extract().key == 100

    expected_sorted_elements = [36, 25, 19, 17, 7, 3, 2, 1]
    l = max_heap.heap[0].left
    l = max_heap.heap[0].right
    sorted_elements = []
    for _ in range(8):
        sorted_elements.append(max_heap.extract().key)
    assert expected_sorted_elements == sorted_elements

    elements = [
        TreeNode(7, 7),
        TreeNode(25, 25),
        TreeNode(100, 100),
        TreeNode(1, 1),
        TreeNode(2, 2),
        TreeNode(3, 3),
        TreeNode(17, 17),
        TreeNode(19, 19),
        TreeNode(36, 36)
    ]
    min_heap = BinaryHeap(elements=DynamicOneDimensionalArray(
        TreeNode, 9, elements),
                          heap_property="min")
    assert min_heap.extract().key == 1

    expected_sorted_elements = [2, 3, 7, 17, 19, 25, 36, 100]
    sorted_elements = [min_heap.extract().key for _ in range(8)]
    assert expected_sorted_elements == sorted_elements

    non_TreeNode_elements = [(7, 7),
                             TreeNode(25, 25),
                             TreeNode(100, 100),
                             TreeNode(1, 1), (2, 2),
                             TreeNode(3, 3),
                             TreeNode(17, 17),
                             TreeNode(19, 19),
                             TreeNode(36, 36)]
    assert raises(
        ValueError, lambda: BinaryHeap(elements=non_TreeNode_elements,
                                       heap_property='min'))