- add the Rust-backed Python API with PyStemmer compatibility - distribute standard compiled models as a separate Python package - generate model artifacts during builds instead of storing them in Git - add GitHub release and Pages-backed package index workflows - add Python tests, benchmarks, documentation, and Gradle integration - refresh the documentation site, branding, and language benchmarks
175 lines
6.4 KiB
Python
175 lines
6.4 KiB
Python
###############################################################################
|
|
# Copyright (C) 2026, Leo Galambos
|
|
# All rights reserved.
|
|
#
|
|
# Redistribution and use in source and binary forms, with or without
|
|
# modification, are permitted provided that the following conditions are met:
|
|
#
|
|
# 1. Redistributions of source code must retain the above copyright notice,
|
|
# this list of conditions and the following disclaimer.
|
|
#
|
|
# 2. Redistributions in binary form must reproduce the above copyright notice,
|
|
# this list of conditions and the following disclaimer in the documentation
|
|
# and/or other materials provided with the distribution.
|
|
#
|
|
# 3. Neither the name of the copyright holder nor the names of its contributors
|
|
# may be used to endorse or promote products derived from this software
|
|
# without specific prior written permission.
|
|
#
|
|
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
|
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
|
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
|
|
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
|
|
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
|
|
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
|
|
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
|
|
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
|
|
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
|
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
|
# POSSIBILITY OF SUCH DAMAGE.
|
|
###############################################################################
|
|
|
|
"""Tests for deterministic publication of current Java benchmark reports."""
|
|
|
|
from __future__ import annotations
|
|
|
|
import importlib.util
|
|
import sys
|
|
import unittest
|
|
from pathlib import Path
|
|
|
|
|
|
SCRIPT = Path(__file__).resolve().parents[1] / "update-benchmark-documentation.py"
|
|
SPEC = importlib.util.spec_from_file_location("update_benchmark_documentation", SCRIPT)
|
|
assert SPEC is not None and SPEC.loader is not None
|
|
MODULE = importlib.util.module_from_spec(SPEC)
|
|
sys.modules[SPEC.name] = MODULE
|
|
SPEC.loader.exec_module(MODULE)
|
|
|
|
|
|
def speed_row(score: float, error: float = 1_000.0) -> dict[str, str]:
|
|
"""Create the JMH fields consumed by the documentation updater."""
|
|
return {
|
|
"Score": str(score),
|
|
"Score Error (99.9%)": str(error),
|
|
"Unit": "ns/op",
|
|
}
|
|
|
|
|
|
class BenchmarkDocumentationTest(unittest.TestCase):
|
|
"""Covers current-report selection and measured-corpus arithmetic."""
|
|
|
|
def test_speed_uses_timing_token_denominator(self) -> None:
|
|
radixor = MODULE.Key("example.persianRadixor", ())
|
|
snowball = MODULE.Key(
|
|
"example.snowballDirect", (("languageCaseName", "PERSIAN"),)
|
|
)
|
|
data = MODULE.JmhData(
|
|
primary={
|
|
radixor: speed_row(250_000.0),
|
|
snowball: speed_row(500_000.0),
|
|
},
|
|
auxiliary={},
|
|
)
|
|
text = """## Speed
|
|
|
|
| Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
|
|
| --- | --- | ---: | ---: | ---: | ---: | --- |
|
|
| Radixor | `persianRadixor` | pending | pending | pending | pending | baseline |
|
|
| Official Snowball direct | `snowballDirect[PERSIAN]` | pending | pending | pending | pending | direct |
|
|
|
|
## Interpretation Notes
|
|
"""
|
|
|
|
updated = MODULE.update_speed_table(text, data, 5_000, "FA_IR")
|
|
|
|
self.assertIn("| 0.250 | 0.001 | 50.0 | 1.000 |", updated)
|
|
self.assertIn("| 0.500 | 0.001 | 100.0 | 2.000 |", updated)
|
|
self.assertEqual(
|
|
updated,
|
|
MODULE.update_speed_table(updated, data, 5_000, "FA_IR"),
|
|
)
|
|
|
|
def test_language_parameter_resolves_ambiguous_method(self) -> None:
|
|
czech = MODULE.Key(
|
|
"example.luceneHunspellStemFilter",
|
|
(("languageCaseName", "CZECH"),),
|
|
)
|
|
polish = MODULE.Key(
|
|
"example.luceneHunspellStemFilter",
|
|
(("languageCaseName", "POLISH"),),
|
|
)
|
|
data = MODULE.JmhData(
|
|
primary={czech: speed_row(10.0), polish: speed_row(20.0)},
|
|
auxiliary={},
|
|
)
|
|
|
|
selected = MODULE.select_speed_key("luceneHunspellStemFilter", data, "CS_CZ")
|
|
|
|
self.assertEqual(czech, selected)
|
|
|
|
def test_partially_pending_speed_row_is_rejected(self) -> None:
|
|
text = """## Speed
|
|
|
|
| Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
|
|
| --- | --- | ---: | ---: | ---: | ---: | --- |
|
|
| Radixor | `persianRadixor` | pending | 0.001 | pending | pending | baseline |
|
|
|
|
## Interpretation Notes
|
|
"""
|
|
|
|
with self.assertRaisesRegex(ValueError, "Partially pending speed row"):
|
|
MODULE.update_speed_table(
|
|
text, MODULE.JmhData(primary={}, auxiliary={}), 5_000, "FA_IR"
|
|
)
|
|
|
|
def test_malformed_accuracy_row_is_rejected(self) -> None:
|
|
text = """## Accuracy
|
|
|
|
| Stemmer | All exact | Changed exact | Root preserved | Note |
|
|
| --- | ---: | ---: | ---: | --- |
|
|
| Official Snowball direct | 75.00% | 62.500% | 100.000% | direct |
|
|
|
|
## Speed
|
|
"""
|
|
|
|
with self.assertRaisesRegex(ValueError, "Malformed accuracy row"):
|
|
MODULE.update_accuracy_table(
|
|
text, MODULE.JmhData(primary={}, auxiliary={}), "FA_IR", {}
|
|
)
|
|
|
|
def test_pending_accuracy_row_uses_current_auxiliary_counters(self) -> None:
|
|
key = MODULE.Key(
|
|
"example.exactRootAgreement",
|
|
(("candidateName", "SNOWBALL_PERSIAN_DIRECT"),),
|
|
)
|
|
counters = {
|
|
"correctMatches": 75.0,
|
|
"evaluatedTokens": 100.0,
|
|
"changedCorrectMatches": 50.0,
|
|
"changedEvaluatedTokens": 80.0,
|
|
"rootPreservedMatches": 20.0,
|
|
"rootEvaluatedTokens": 20.0,
|
|
}
|
|
data = MODULE.JmhData(primary={}, auxiliary={key: counters})
|
|
text = """## Accuracy
|
|
|
|
| Stemmer | All exact | Changed exact | Root preserved | Note |
|
|
| --- | ---: | ---: | ---: | --- |
|
|
| Official Snowball direct | pending | pending | pending | direct |
|
|
|
|
## Speed
|
|
"""
|
|
|
|
updated = MODULE.update_accuracy_table(text, data, "FA_IR", {})
|
|
|
|
self.assertIn("| 75.000% | 62.500% | 100.000% |", updated)
|
|
self.assertEqual(
|
|
updated,
|
|
MODULE.update_accuracy_table(updated, data, "FA_IR", {}),
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|