def test_view_delitem(attr):
    adata = gen_adata((10, 10))
    getattr(adata, attr)["to_delete"] = np.ones((10, 10))
    # Shouldn’t be a subclass, should be an ndarray
    assert type(getattr(adata, attr)["to_delete"]) is np.ndarray
    view = adata[5:7, :][:, :5]
    adata_hash = joblib.hash(adata)
    view_hash = joblib.hash(view)

    getattr(view, attr).__delitem__("to_delete")

    assert not view.is_view
    assert "to_delete" not in getattr(view, attr)
    assert "to_delete" in getattr(adata, attr)
    assert adata_hash == joblib.hash(adata)
    assert view_hash != joblib.hash(view)
def main():

    lst = [-31, 0, 1, 2, 2, 4, 65, 83, 99, 782]
    size = len(lst)
    original_list = ""

    value = int(input("\nInput a value to search for: "))
    print("\nOriginal Array: ")

    for i in lst:
        original_list += str(i) + " "
    print(original_list)
    print("\nLinear Search Big O Notation:\n--> Best Case: O(1)\n--> Average Case: O(n)\n--> Worst Case: O(n)\n")

    index = linear_search(lst,size,value)
    if index == -1:
        print(str(value) + " was not found in that array\n")
    else:
        print(str(value) + " was found at index " + str(index))