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How to use stable_topological_sort method in tox

Best Python code snippet using tox_python

utils.py

Source:utils.py

...11        if item_key < key(cur):12            coll.insert(idx, item)13            return14    coll.insert(len(coll), item)15def stable_topological_sort(items, partial_order):16    """Perform topological sort.17       items is a list or iterator of items to be sorted.18       partial_order is a list or iterator of pairs. If pair (a,b) is in it, it means19       that item a should appear before item b.20       Returns a list of the items in one of the possible orders, or raises21       LoopError if partial_order contains a loop.22       This is a stable sort so the relative order of the elements are kept.23    >>> list(stable_topological_sort(['a', 'b', 'c', 'd'], [('a', 'c')]))24    ['a', 'b', 'c', 'd']25    >>> list(stable_topological_sort(['a', 'b', 'c', 'd'], [('a', 'c'), ('b', 'c')]))26    ['a', 'b', 'c', 'd']27    >>> list(stable_topological_sort(['a', 'b', 'c', 'd'], [('a', 'c'), ('b', 'c'), ('d', 'c')]))28    ['a', 'b', 'd', 'c']29    >>> list(stable_topological_sort(['a', 'b', 'c', 'd'], [('a', 'c'), ('b', 'c'), ('d', 'c'), ('d', 'a')]))30    ['b', 'd', 'a', 'c']31    >>> list(stable_topological_sort(['b', 'a', 'c', 'd'], [('a', 'c'), ('b', 'c')]))32    ['b', 'a', 'c', 'd']33    >>> list(stable_topological_sort(['a', 'b', 'c', 'd'], [('a', 'c'), ('b', 'c'), ('b', 'a')]))34    ['b', 'a', 'c', 'd']35    >>> list(stable_topological_sort(['a', 'b', 'c', 'd'], [('a', 'c'), ('b', 'c'), ('c', 'd'), ('d', 'a')]))36    Traceback (most recent call last):37        ...38    LoopError: Loop in DAG, cannot sort39    """40    graph = {}41    for idx, item in enumerate(items):42        if item not in graph:43            graph[item] = [0, idx]44    for a,b in partial_order:45        graph[a].append(b)46        graph[b][0] += 147    roots = [(node, info[1]) for (node, info) in graph.items() if info[0] == 0]48    roots.sort(key=lambda i: i[1])49    while roots:...

test_graph.py

Source:test_graph.py

...3from tox.util.graph import stable_topological_sort4def test_topological_order_specified_only():5    graph = OrderedDict()6    graph["A"] = "B", "C"7    result = stable_topological_sort(graph)8    assert result == ["A"]9def test_topological_order():10    graph = OrderedDict()11    graph["A"] = "B", "C"12    graph["B"] = ()13    graph["C"] = ()14    result = stable_topological_sort(graph)15    assert result == ["B", "C", "A"]16def test_topological_order_cycle():17    graph = OrderedDict()18    graph["A"] = "B", "C"19    graph["B"] = ("A",)20    with pytest.raises(ValueError, match="A | B"):21        stable_topological_sort(graph)22def test_topological_complex():23    graph = OrderedDict()24    graph["A"] = "B", "C"25    graph["B"] = "C", "D"26    graph["C"] = ("D",)27    graph["D"] = ()28    result = stable_topological_sort(graph)29    assert result == ["D", "C", "B", "A"]30def test_two_sub_graph():31    graph = OrderedDict()32    graph["F"] = ()33    graph["E"] = ()34    graph["D"] = "E", "F"35    graph["A"] = "B", "C"36    graph["B"] = ()37    graph["C"] = ()38    result = stable_topological_sort(graph)39    assert result == ["F", "E", "D", "B", "C", "A"]40def test_two_sub_graph_circle():41    graph = OrderedDict()42    graph["F"] = ()43    graph["E"] = ()44    graph["D"] = "E", "F"45    graph["A"] = "B", "C"46    graph["B"] = ("A",)47    graph["C"] = ()48    with pytest.raises(ValueError, match="A | B"):...

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