"""Generators - Directed Graphs
----------------------------
"""
from nose.tools import assert_equal
from nose.tools import assert_false
from nose.tools import assert_raises
from nose.tools import assert_true

import networkx as nx
from networkx.classes import Graph
from networkx.classes import MultiDiGraph
from networkx.generators.directed import gn_graph
from networkx.generators.directed import gnr_graph
from networkx.generators.directed import gnc_graph
from networkx.generators.directed import random_k_out_graph
from networkx.generators.directed import random_uniform_k_out_graph
from networkx.generators.directed import scale_free_graph


class TestGeneratorsDirected(object):
    def test_smoke_test_random_graphs(self):
        gn_graph(100)
        gnr_graph(100, 0.5)
        gnc_graph(100)
        scale_free_graph(100)

        gn_graph(100, seed=42)
        gnr_graph(100, 0.5, seed=42)
        gnc_graph(100, seed=42)
        scale_free_graph(100, seed=42)

    def test_create_using_keyword_arguments(self):
        assert_raises(nx.NetworkXError,
                      gn_graph, 100, create_using=Graph())
        assert_raises(nx.NetworkXError,
                      gnr_graph, 100, 0.5, create_using=Graph())
        assert_raises(nx.NetworkXError,
                      gnc_graph, 100, create_using=Graph())
        assert_raises(nx.NetworkXError,
                      scale_free_graph, 100, create_using=Graph())
        G = gn_graph(100, seed=1)
        MG = gn_graph(100, create_using=MultiDiGraph(), seed=1)
        assert_equal(sorted(G.edges()), sorted(MG.edges()))
        G = gnr_graph(100, 0.5, seed=1)
        MG = gnr_graph(100, 0.5, create_using=MultiDiGraph(), seed=1)
        assert_equal(sorted(G.edges()), sorted(MG.edges()))
        G = gnc_graph(100, seed=1)
        MG = gnc_graph(100, create_using=MultiDiGraph(), seed=1)
        assert_equal(sorted(G.edges()), sorted(MG.edges()))

        G = scale_free_graph(100, alpha=0.3, beta=0.4, gamma=0.3,
                             delta_in=0.3, delta_out=0.1,
                             create_using=MultiDiGraph, seed=1)
        assert_raises(ValueError, scale_free_graph, 100, 0.5, 0.4, 0.3)
        assert_raises(ValueError, scale_free_graph, 100, alpha=-0.3)
        assert_raises(ValueError, scale_free_graph, 100, beta=-0.3)
        assert_raises(ValueError, scale_free_graph, 100, gamma=-0.3)


class TestRandomKOutGraph(object):
    """Unit tests for the
    :func:`~networkx.generators.directed.random_k_out_graph` function.

    """

    def test_regularity(self):
        """Tests that the generated graph is `k`-out-regular."""
        n = 10
        k = 3
        alpha = 1
        G = random_k_out_graph(n, k, alpha)
        assert_true(all(d == k for v, d in G.out_degree()))
        G = random_k_out_graph(n, k, alpha, seed=42)
        assert_true(all(d == k for v, d in G.out_degree()))

    def test_no_self_loops(self):
        """Tests for forbidding self-loops."""
        n = 10
        k = 3
        alpha = 1
        G = random_k_out_graph(n, k, alpha, self_loops=False)
        assert_equal(nx.number_of_selfloops(G), 0)


class TestUniformRandomKOutGraph(object):
    """Unit tests for the
    :func:`~networkx.generators.directed.random_uniform_k_out_graph`
    function.

    """
    def test_regularity(self):
        """Tests that the generated graph is `k`-out-regular."""
        n = 10
        k = 3
        G = random_uniform_k_out_graph(n, k)
        assert_true(all(d == k for v, d in G.out_degree()))
        G = random_uniform_k_out_graph(n, k, seed=42)
        assert_true(all(d == k for v, d in G.out_degree()))

    def test_no_self_loops(self):
        """Tests for forbidding self-loops."""
        n = 10
        k = 3
        G = random_uniform_k_out_graph(n, k, self_loops=False)
        assert_equal(nx.number_of_selfloops(G), 0)
        assert_true(all(d == k for v, d in G.out_degree()))

    def test_with_replacement(self):
        n = 10
        k = 3
        G = random_uniform_k_out_graph(n, k, with_replacement=True)
        assert_true(G.is_multigraph())
        assert_true(all(d == k for v, d in G.out_degree()))

    def test_without_replacement(self):
        n = 10
        k = 3
        G = random_uniform_k_out_graph(n, k, with_replacement=False)
        assert_false(G.is_multigraph())
        assert_true(all(d == k for v, d in G.out_degree()))