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test_dag_utils.py
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from __future__ import annotations
from contextlib import ExitStack as does_not_raise # noqa: N813
from pathlib import Path
import networkx as nx
import pytest
from _pytask.dag_utils import TopologicalSorter
from _pytask.dag_utils import _extract_priorities_from_tasks
from _pytask.dag_utils import descending_tasks
from _pytask.dag_utils import node_and_neighbors
from _pytask.dag_utils import task_and_descending_tasks
from pytask import Mark
from pytask import Task
@pytest.fixture
def dag():
"""Create a dag with five nodes in a line."""
dag = nx.DiGraph()
for i in range(4):
task = Task(base_name=str(i), path=Path(), function=None)
next_task = Task(base_name=str(i + 1), path=Path(), function=None)
dag.add_node(task.signature, task=task)
dag.add_node(next_task.signature, task=next_task)
dag.add_edge(task.signature, next_task.signature)
return dag
def test_sort_tasks_topologically(dag):
sorter = TopologicalSorter.from_dag(dag)
topo_ordering = []
while sorter.is_active():
task_name = sorter.get_ready()[0]
topo_ordering.append(task_name)
sorter.done(task_name)
topo_names = [dag.nodes[sig]["task"].name for sig in topo_ordering]
assert topo_names == [f".::{i}" for i in range(5)]
def test_descending_tasks(dag):
for i in range(5):
task = next(
dag.nodes[sig]["task"]
for sig in dag.nodes
if dag.nodes[sig]["task"].name == f".::{i}"
)
descendants = descending_tasks(task.signature, dag)
descendant_names = sorted(dag.nodes[sig]["task"].name for sig in descendants)
assert descendant_names == [f".::{i}" for i in range(i + 1, 5)]
def test_task_and_descending_tasks(dag):
for i in range(5):
task = next(
dag.nodes[sig]["task"]
for sig in dag.nodes
if dag.nodes[sig]["task"].name == f".::{i}"
)
descendants = task_and_descending_tasks(task.signature, dag)
descendant_names = sorted(dag.nodes[sig]["task"].name for sig in descendants)
assert descendant_names == [f".::{i}" for i in range(i, 5)]
def test_node_and_neighbors(dag):
for i in range(1, 4):
task = next(
dag.nodes[sig]["task"]
for sig in dag.nodes
if dag.nodes[sig]["task"].name == f".::{i}"
)
nodes = node_and_neighbors(dag, task.signature)
node_names = [dag.nodes[sig]["task"].name for sig in nodes]
assert node_names == [f".::{j}" for j in range(i - 1, i + 2)]
@pytest.mark.parametrize(
("tasks", "expectation", "expected"),
[
pytest.param(
[
Task(
base_name="1",
path=Path(),
function=None,
markers=[Mark("try_last", (), {})],
)
],
does_not_raise(),
{"c12d8d4f7e2e3128d27878d1fb3d8e3583e90e68000a13634dfbf21f4d1456f3": -1},
id="test try_last",
),
pytest.param(
[
Task(
base_name="1",
path=Path(),
function=None,
markers=[Mark("try_first", (), {})],
)
],
does_not_raise(),
{"c12d8d4f7e2e3128d27878d1fb3d8e3583e90e68000a13634dfbf21f4d1456f3": 1},
id="test try_first",
),
pytest.param(
[Task(base_name="1", path=Path(), function=None, markers=[])],
does_not_raise(),
{"c12d8d4f7e2e3128d27878d1fb3d8e3583e90e68000a13634dfbf21f4d1456f3": 0},
id="test no priority",
),
pytest.param(
[
Task(
base_name="1",
path=Path(),
function=None,
markers=[Mark("try_first", (), {})],
),
Task(base_name="2", path=Path(), function=None, markers=[]),
Task(
base_name="3",
path=Path(),
function=None,
markers=[Mark("try_last", (), {})],
),
],
does_not_raise(),
{
"c12d8d4f7e2e3128d27878d1fb3d8e3583e90e68000a13634dfbf21f4d1456f3": 1,
"c5f667e69824043475b1283ed8920e513cb4343ec7077f71a3d9f5972f5204b9": 0,
"dca295f815f54d282b33e8d9398cea4962d0dfbe881d2ab28fc48ff9e060203a": -1,
},
),
],
)
def test_extract_priorities_from_tasks(tasks, expectation, expected):
with expectation:
result = _extract_priorities_from_tasks(tasks)
assert result == expected
def test_raise_error_for_undirected_graphs(dag):
undirected_graph = dag.to_undirected()
with pytest.raises(ValueError, match="Only directed graphs have a"):
TopologicalSorter.from_dag(undirected_graph)
def test_raise_error_for_cycle_in_graph(dag):
dag.add_edge(
"115f685b0af2aef0c7317a0b48562f34cfb7a622549562bd3d34d4d948b4fdab",
"55c6cef62d3e62d5f8fc65bb846e66d8d0d3ca60608c04f6f7b095ea073a7dcf",
)
with pytest.raises(ValueError, match=r"The DAG contains cycles\."):
TopologicalSorter.from_dag(dag)
def test_ask_for_invalid_number_of_ready_tasks(dag):
scheduler = TopologicalSorter.from_dag(dag)
with pytest.raises(ValueError, match="'n' must be"):
scheduler.get_ready(0)
def test_instantiate_sorter_from_other_sorter(dag):
name_to_sig = {dag.nodes[sig]["task"].name: sig for sig in dag.nodes}
scheduler = TopologicalSorter.from_dag(dag)
for _ in range(2):
task_name = scheduler.get_ready()[0]
scheduler.done(task_name)
assert scheduler._nodes_done == {name_to_sig[name] for name in (".::0", ".::1")}
task = Task(base_name="5", path=Path(), function=None)
dag.add_node(task.signature, task=Task(base_name="5", path=Path(), function=None))
dag.add_edge(name_to_sig[".::4"], task.signature)
new_scheduler = TopologicalSorter.from_dag_and_sorter(dag, scheduler)
while new_scheduler.is_active():
task_name = new_scheduler.get_ready()[0]
new_scheduler.done(task_name)
assert new_scheduler._nodes_done == set(name_to_sig.values()) | {task.signature}