from nose.tools import *
import networkx as nx
from networkx.utils import *

def test_is_string_like():
    assert_true(is_string_like("aaaa"))
    assert_false(is_string_like(None))
    assert_false(is_string_like(123))

def test_iterable():
    assert_false(iterable(None))
    assert_false(iterable(10))
    assert_true(iterable([1,2,3]))
    assert_true(iterable((1,2,3)))
    assert_true(iterable({1:"A",2:"X"}))
    assert_true(iterable("ABC"))

def test_graph_iterable():
    K=nx.complete_graph(10)
    assert_true(iterable(K))
    assert_true(iterable(K.nodes_iter()))
    assert_true(iterable(K.edges_iter()))

def test_is_list_of_ints():
    assert_true(is_list_of_ints([1,2,3,42]))
    assert_false(is_list_of_ints([1,2,3,"kermit"]))

def test_random_number_distribution():
    # smoke test only
    z=uniform_sequence(20)
    z=powerlaw_sequence(20,exponent=2.5)
    z=pareto_sequence(20,exponent=1.5)
    z=discrete_sequence(20,distribution=[0,0,0,0,1,1,1,1,2,2,3])