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- """Tests decision"""
- import pytest
- import os
- import networkx as nx
- import statistics
- from .context import debruijn
- #from .context import debruijn_comp
- from debruijn import std
- from debruijn import path_average_weight
- from debruijn import remove_paths
- from debruijn import select_best_path
- from debruijn import solve_bubble
- from debruijn import simplify_bubbles
- from debruijn import solve_entry_tips
- from debruijn import solve_out_tips
-
- def test_std():
- assert round(std([9, 5, 15, 20]), 1) == 6.6
-
-
- def test_path_weight():
- graph = nx.DiGraph()
- graph.add_weighted_edges_from([(1, 2, 5), (3, 2, 10), (2, 4, 10), (4, 5, 3),
- (5, 6, 10), (5, 7, 10)])
- assert path_average_weight(graph, [1, 2, 4, 5] ) == 6.0
-
- def test_remove_paths():
- graph_1 = nx.DiGraph()
- graph_2 = nx.DiGraph()
- graph_3 = nx.DiGraph()
- graph_4 = nx.DiGraph()
- graph_1.add_edges_from([(1, 2), (3, 2), (2, 4), (4, 5), (5, 6), (5, 7)])
- graph_2.add_edges_from([(1, 2), (3, 2), (2, 4), (4, 5), (5, 6), (5, 7)])
- graph_3.add_edges_from([(1, 2), (3, 2), (2, 4), (4, 5), (5, 6), (5, 7)])
- graph_4.add_edges_from([(1, 2), (3, 2), (2, 4), (4, 5), (5, 6), (5, 7)])
- graph_1 = remove_paths(graph_1, [(1,2)], True, False)
- graph_2 = remove_paths(graph_2, [(5,7)], False, True)
- graph_3 = remove_paths(graph_3, [(2,4,5)], False, False)
- graph_4 = remove_paths(graph_4, [(2,4,5)], True, True)
- assert (1,2) not in graph_1.edges()
- assert (3,2) in graph_1.edges()
- assert (5,7) not in graph_2.edges()
- assert (5,6) in graph_2.edges()
- assert 4 not in graph_3.nodes()
- assert (2,4) not in graph_4.edges()
- assert (4, 5) not in graph_4.edges()
- assert 2 not in graph_4.nodes()
- assert 4 not in graph_4.nodes()
- assert 5 not in graph_4.nodes()
-
- def test_select_best_path():
- graph_1 = nx.DiGraph()
- graph_1.add_edges_from([(1, 2), (3, 2), (2, 4), (4, 5), (5, 6), (5, 7)])
- graph_1 = select_best_path(graph_1, [[1,2], [3,2]], [1, 1], [5, 10], delete_entry_node=True)
- assert (1,2) not in graph_1.edges()
- assert (3,2) in graph_1.edges()
- assert 1 not in graph_1.nodes()
- graph_2 = nx.DiGraph()
- graph_2.add_edges_from([(1, 2), (3, 2), (2, 4), (4, 5), (5, 6), (5, 7) , (7, 8)])
- graph_2 = select_best_path(graph_1, [[5, 6], [5, 7, 8]], [1, 2], [13, 10], delete_sink_node=True)
- assert (5,7) not in graph_2.edges()
- assert (7,8) not in graph_2.edges()
- assert (5,6) in graph_2.edges()
- assert 7 not in graph_2.nodes()
- assert 8 not in graph_2.nodes()
- #Select heavier
- graph_3 = nx.DiGraph()
- graph_3.add_edges_from([(1, 2), (3, 2), (2, 4), (4, 5), (2, 8), (8, 9),
- (9, 5), (5, 6), (5, 7)])
- graph_3 = select_best_path(graph_3, [[2, 4, 5], [2, 8, 9, 5]],
- [1, 4], [13, 10])
- assert (2,8) not in graph_3.edges()
- assert (8,9) not in graph_3.edges()
- assert (9,5) not in graph_3.edges()
- assert (2,4) in graph_3.edges()
- assert (4,5) in graph_3.edges()
- assert 8 not in graph_3.nodes()
- assert 9 not in graph_3.nodes()
- assert 2 in graph_3.nodes()
- assert 5 in graph_3.nodes()
- # Select longest
- graph_4 = nx.DiGraph()
- graph_4.add_edges_from([(1, 2), (3, 2), (2, 4), (4, 5), (2, 8), (8, 9),
- (9, 5), (5, 6), (5, 7)])
- graph_4 = select_best_path(graph_4, [[2, 4, 5], [2, 8, 9, 5]],
- [1, 4], [10, 10])
- assert (2,4) not in graph_4.edges()
- assert (4,5) not in graph_4.edges()
- assert (2,8) in graph_4.edges()
- assert (8,9) in graph_4.edges()
- assert (9,5) in graph_4.edges()
- # Select random
- graph_5 = nx.DiGraph()
- graph_5.add_edges_from([(1, 2), (3, 2), (2, 4), (4, 5), (2, 8), (8, 9),
- (9, 5), (5, 6), (5, 7)])
- graph_5 = select_best_path(graph_5, [[2, 4, 5], [2, 8, 9, 5]],
- [1, 4], [10, 10])
-
- def test_solve_bubble():
- graph_1 = nx.DiGraph()
- graph_1.add_weighted_edges_from([(1, 2, 10), (3, 2, 10), (2, 4, 15),
- (4, 5, 15), (2, 10,10), (10, 5,10),
- (2, 8, 3), (8, 9, 3), (9, 5, 3),
- (5, 6, 10), (5, 7, 10)])
- graph_1 = solve_bubble(graph_1, 2, 5)
- assert (2,8) not in graph_1.edges()
- assert (8,9) not in graph_1.edges()
- assert (9,5) not in graph_1.edges()
- assert (2,10) not in graph_1.edges()
- assert (10, 5) not in graph_1.edges()
- assert (2,4) in graph_1.edges()
- assert (4,5) in graph_1.edges()
- assert 8 not in graph_1.nodes()
- assert 9 not in graph_1.nodes()
- assert 10 not in graph_1.nodes()
- assert 2 in graph_1.nodes()
- assert 5 in graph_1.nodes()
- graph_2 = nx.DiGraph()
- graph_2.add_weighted_edges_from([(1, 2, 10), (3, 2, 10), (2, 4, 10),
- (4, 5, 10), (2, 10,10), (10, 5,10),
- (2, 8, 10), (8, 9, 10), (9, 5, 10),
- (5, 6, 10), (5, 7, 10)])
- graph_2 = solve_bubble(graph_2, 2, 5)
- assert (2,4) not in graph_2.edges()
- assert (4,5) not in graph_2.edges()
- assert (2,10) not in graph_1.edges()
- assert (10, 5) not in graph_1.edges()
- assert (2,8) in graph_2.edges()
- assert (8,9) in graph_2.edges()
- assert (9,5) in graph_2.edges()
-
-
- def test_simplify_bubbles():
- graph_1 = nx.DiGraph()
- graph_1.add_weighted_edges_from([(3, 2, 10), (2, 4, 15), (4, 5, 15),
- (2, 10,10), (10, 5,10), (2, 8, 3),
- (8, 9, 3), (9, 5, 3), (5, 6, 10),
- (5, 7, 10)])
- graph_1 = simplify_bubbles(graph_1)
- assert (2,8) not in graph_1.edges()
- assert (8,9) not in graph_1.edges()
- assert (9,5) not in graph_1.edges()
- assert (2,10) not in graph_1.edges()
- assert (10, 5) not in graph_1.edges()
-
- def test_solve_entry_tips():
- graph_1 = nx.DiGraph()
- graph_1.add_weighted_edges_from([(1, 2, 10), (3, 2, 2), (2, 4, 15), (4, 5, 15)])
- graph_1 = solve_entry_tips(graph_1, [1, 3])
- assert (3, 2) not in graph_1.edges()
- assert (1, 2) in graph_1.edges()
- graph_2 = nx.DiGraph()
- graph_2.add_weighted_edges_from([(1, 2, 2), (6, 3, 2), (3, 2, 2),
- (2, 4, 15), (4, 5, 15)])
- graph_2 = solve_entry_tips(graph_2, [1, 6])
- assert (1, 2) not in graph_2.edges()
- assert (6, 3) in graph_2.edges()
- assert (3, 2) in graph_2.edges()
-
- def test_solve_out_tips():
- graph_1 = nx.DiGraph()
- graph_1.add_weighted_edges_from([(1, 2, 15), (2, 3, 15), (4, 5, 15), (4, 6, 2)])
- graph_1 = solve_out_tips(graph_1, [5, 6])
- assert (4, 6) not in graph_1.edges()
- assert (4, 5) in graph_1.edges()
- graph_2 = nx.DiGraph()
- graph_2.add_weighted_edges_from([(1, 2, 15), (2, 3, 15), (4, 5, 2), (4, 6, 2) , (6, 7, 2)])
- graph_2 = solve_out_tips(graph_2, [5, 7])
- assert (4, 5) not in graph_2.edges()
- assert (6, 7) in graph_2.edges()
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