def test_views():
    X = np.array(X_list)
    adata = ad.AnnData(X, obs=obs_dict, var=var_dict, uns=uns_dict, dtype="int32")

    assert adata[:, 0].is_view
    assert adata[:, 0].X.tolist() == np.reshape([1, 4, 7], (3, 1)).tolist()

    adata[:2, 0].X = [0, 0]

    assert adata[:, 0].X.tolist() == np.reshape([0, 0, 7], (3, 1)).tolist()

    adata_subset = adata[:2, [0, 1]]

    assert adata_subset.is_view
    # now transition to actual object
    adata_subset.obs["foo"] = range(2)
    assert not adata_subset.is_view

    assert adata_subset.obs["foo"].tolist() == list(range(2))
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))