def test_layers_view():
    X = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
    L = np.array([[10, 11, 12], [13, 14, 15], [16, 17, 18]])
    real_adata = ad.AnnData(X)
    real_adata.layers["L"] = L
    view_adata = real_adata[1:, 1:]
    real_hash = joblib.hash(real_adata)
    view_hash = joblib.hash(view_adata)

    assert view_adata.is_view

    with pytest.raises(ValueError):
        view_adata.layers["L2"] = L + 2

    assert view_adata.is_view  # Failing to set layer item makes adata not view
    assert real_hash == joblib.hash(real_adata)
    assert view_hash == joblib.hash(view_adata)

    view_adata.layers["L2"] = L[1:, 1:] + 2

    assert not view_adata.is_view
    assert real_hash == joblib.hash(real_adata)
    assert view_hash != joblib.hash(view_adata)
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))