File: test_heuristics.py

package info (click to toggle)
pytorch 2.6.0%2Bdfsg-8
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 161,672 kB
  • sloc: python: 1,278,832; cpp: 900,322; ansic: 82,710; asm: 7,754; java: 3,363; sh: 2,811; javascript: 2,443; makefile: 597; ruby: 195; xml: 84; objc: 68
file content (190 lines) | stat: -rw-r--r-- 6,495 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
# For testing specific heuristics
from __future__ import annotations

import io
import json
import sys
import unittest
from pathlib import Path
from typing import Any
from unittest import mock


REPO_ROOT = Path(__file__).resolve().parent.parent.parent.parent
sys.path.append(str(REPO_ROOT))

from tools.test.heuristics.test_interface import TestTD
from tools.testing.target_determination.determinator import TestPrioritizations
from tools.testing.target_determination.heuristics.filepath import (
    file_matches_keyword,
    get_keywords,
)
from tools.testing.target_determination.heuristics.historical_class_failure_correlation import (
    HistoricalClassFailurCorrelation,
)
from tools.testing.target_determination.heuristics.previously_failed_in_pr import (
    get_previous_failures,
)
from tools.testing.test_run import TestRun


sys.path.remove(str(REPO_ROOT))

HEURISTIC_CLASS = "tools.testing.target_determination.heuristics.historical_class_failure_correlation."


def mocked_file(contents: dict[Any, Any]) -> io.IOBase:
    file_object = io.StringIO()
    json.dump(contents, file_object)
    file_object.seek(0)
    return file_object


def gen_historical_class_failures() -> dict[str, dict[str, float]]:
    return {
        "file1": {
            "test1::classA": 0.5,
            "test2::classA": 0.2,
            "test5::classB": 0.1,
        },
        "file2": {
            "test1::classB": 0.3,
            "test3::classA": 0.2,
            "test5::classA": 1.5,
            "test7::classC": 0.1,
        },
        "file3": {
            "test1::classC": 0.4,
            "test4::classA": 0.2,
            "test7::classC": 1.5,
            "test8::classC": 0.1,
        },
    }


ALL_TESTS = [
    "test1",
    "test2",
    "test3",
    "test4",
    "test5",
    "test6",
    "test7",
    "test8",
]


class TestHistoricalClassFailureCorrelation(TestTD):
    @mock.patch(
        HEURISTIC_CLASS + "_get_historical_test_class_correlations",
        return_value=gen_historical_class_failures(),
    )
    @mock.patch(
        HEURISTIC_CLASS + "query_changed_files",
        return_value=["file1"],
    )
    def test_get_prediction_confidence(
        self,
        historical_class_failures: dict[str, dict[str, float]],
        changed_files: list[str],
    ) -> None:
        tests_to_prioritize = ALL_TESTS

        heuristic = HistoricalClassFailurCorrelation()
        test_prioritizations = heuristic.get_prediction_confidence(tests_to_prioritize)

        expected = TestPrioritizations(
            tests_to_prioritize,
            {
                TestRun("test1::classA"): 0.25,
                TestRun("test2::classA"): 0.1,
                TestRun("test5::classB"): 0.05,
                TestRun("test1", excluded=["classA"]): 0.0,
                TestRun("test2", excluded=["classA"]): 0.0,
                TestRun("test3"): 0.0,
                TestRun("test4"): 0.0,
                TestRun("test5", excluded=["classB"]): 0.0,
                TestRun("test6"): 0.0,
                TestRun("test7"): 0.0,
                TestRun("test8"): 0.0,
            },
        )

        self.assert_test_scores_almost_equal(
            test_prioritizations._test_scores, expected._test_scores
        )


class TestParsePrevTests(TestTD):
    @mock.patch("os.path.exists", return_value=False)
    def test_cache_does_not_exist(self, mock_exists: Any) -> None:
        expected_failing_test_files: set[str] = set()

        found_tests = get_previous_failures()

        self.assertSetEqual(expected_failing_test_files, found_tests)

    @mock.patch("os.path.exists", return_value=True)
    @mock.patch("builtins.open", return_value=mocked_file({"": True}))
    def test_empty_cache(self, mock_exists: Any, mock_open: Any) -> None:
        expected_failing_test_files: set[str] = set()

        found_tests = get_previous_failures()

        self.assertSetEqual(expected_failing_test_files, found_tests)
        mock_open.assert_called()

    lastfailed_with_multiple_tests_per_file = {
        "test/test_car.py::TestCar::test_num[17]": True,
        "test/test_car.py::TestBar::test_num[25]": True,
        "test/test_far.py::TestFar::test_fun_copy[17]": True,
        "test/test_bar.py::TestBar::test_fun_copy[25]": True,
    }

    @mock.patch("os.path.exists", return_value=True)
    @mock.patch(
        "builtins.open",
        return_value=mocked_file(lastfailed_with_multiple_tests_per_file),
    )
    def test_dedupes_failing_test_files(self, mock_exists: Any, mock_open: Any) -> None:
        expected_failing_test_files = {"test_car", "test_bar", "test_far"}
        found_tests = get_previous_failures()

        self.assertSetEqual(expected_failing_test_files, found_tests)


class TestFilePath(TestTD):
    def test_get_keywords(self) -> None:
        self.assertEqual(get_keywords("test/test_car.py"), ["car"])
        self.assertEqual(get_keywords("test/nn/test_amp.py"), ["nn", "amp"])
        self.assertEqual(get_keywords("torch/nn/test_amp.py"), ["nn", "amp"])
        self.assertEqual(
            get_keywords("torch/nn/mixed_precision/test_something.py"),
            ["nn", "amp", "something"],
        )

    def test_match_keywords(self) -> None:
        self.assertTrue(file_matches_keyword("test/quantization/test_car.py", "quant"))
        self.assertTrue(file_matches_keyword("test/test_quantization.py", "quant"))
        self.assertTrue(file_matches_keyword("test/nn/test_amp.py", "nn"))
        self.assertTrue(file_matches_keyword("test/nn/test_amp.py", "amp"))
        self.assertTrue(file_matches_keyword("test/test_onnx.py", "onnx"))
        self.assertFalse(file_matches_keyword("test/test_onnx.py", "nn"))

    def test_get_keywords_match(self) -> None:
        def helper(test_file: str, changed_file: str) -> bool:
            return any(
                file_matches_keyword(test_file, x) for x in get_keywords(changed_file)
            )

        self.assertTrue(helper("test/quantization/test_car.py", "quantize/t.py"))
        self.assertFalse(helper("test/onnx/test_car.py", "nn/t.py"))
        self.assertTrue(helper("test/nn/test_car.py", "nn/t.py"))
        self.assertFalse(helper("test/nn/test_car.py", "test/b.py"))
        self.assertTrue(helper("test/test_mixed_precision.py", "torch/amp/t.py"))
        self.assertTrue(helper("test/test_amp.py", "torch/mixed_precision/t.py"))
        self.assertTrue(helper("test/idk/other/random.py", "torch/idk/t.py"))


if __name__ == "__main__":
    unittest.main()