mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
synced 2026-11-10 22:47:09 +01:00
Krzysztof kuhy Rudnicki
bd24dd57ea
kuhy overruled the "do not fix coursework to be better than it was submitted" rule: git history is the archive, so the working tree can be clean. This lands the config and the mechanical half of the cleanup -- 9,281 ruff findings under the fleet config down to 3,686, with no per-file-ignores anywhere. What is in here: - pyproject.toml, the first one in this repo. select = ["ALL"], mypy strict, and the vendored list mirrored into ruff exclude and coverage omit. Five rules are off and each says why; CPY001 is the only judgement call, because stamping a copyright header onto 137 university assignments would assert a licence that was never claimed. No hook is wired up yet -- a gate lands only once its subject is clean. - ruff format + the safe fixes, then a second pass over the docstring rules ruff marks unsafe (they only edit docstring text). 108 files. - TRAK/sightpy is vendored, not coursework: it is rafael-fuente/Python-Raytracer (BSD 3-Clause). Verified against a fresh upstream clone with line endings normalised -- 30 of 32 files byte-identical, ray.py and scene.py carrying a 12- and 13-line local patch that counts rays for the report. 35 files that should never have been linted, now excluded and restored. - WDWR, SPD, MOM and ECRYPT are fully clean, by hand and verified by running them: WDWR's three plot scripts print the same statistics as before, MOM's PuLP model solves to the same cost. WDWR's graph.py had a 342-character CSV header embedded as a string literal, which cannot be wrapped -- the data moved to data/pareto_front.csv. Two 0-byte .py stubs are deleted; an empty file is not a deliverable and git still has it. Three harness bugs found by actually running things: - `run` now forces MPLBACKEND=Agg. TRAK finished its ray trace in 37 seconds and then sat for 45 minutes: plt.show() had opened an image viewer and was waiting for someone to close the window. - TRAK's main.py only pops that viewer with --show now, and its runner writes to a gitignored build/ via the new --entry-args. The default output path is outputs/output.png, which is TRACKED -- a plain run overwrote a submitted deliverable. - course_lib.sh was 357 lines, over this repo's own cap. Split into course_probe.sh and course_run.sh. Verified: ECOTE 26 tests pass, ECRYPT_PROJECT 99 pass, TRAK renders cornell_box in 37s and exits 0, every module compiles, and every import ruff removed was checked to be genuinely unused. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0172dj34FDpao6wsix8ZuCzE
60 lines
1.8 KiB
Python
Executable File
60 lines
1.8 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
"""Plot the Pareto front of the WDWR production model: profit against risk.
|
|
|
|
Each row of ``data/pareto_front.csv`` is one solution of the bi-criteria MILP
|
|
-- an average profit, its Gini risk measure, and the production and stock
|
|
levels that produced them. The scatter shows the trade-off between the two
|
|
criteria.
|
|
|
|
The data used to be a 20-line CSV embedded in this file as a string literal.
|
|
It moved to a sibling file because its header line alone is 342 characters,
|
|
and a data record is not something that can be wrapped to fit a line limit.
|
|
"""
|
|
|
|
import logging
|
|
from pathlib import Path
|
|
|
|
import matplotlib.pyplot as plt
|
|
import pandas as pd
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
DATA_FILE = Path(__file__).parent / "data" / "pareto_front.csv"
|
|
|
|
# Everything is sized for a report figure rather than for the screen.
|
|
LABEL_FONT_SIZE = 16
|
|
MARKER_AREA = 200
|
|
|
|
|
|
def main() -> None:
|
|
"""Draw the scatter plot and report the range of each axis."""
|
|
df = pd.read_csv(DATA_FILE, sep=";")
|
|
|
|
plt.figure(figsize=(10, 6))
|
|
plt.scatter(df["averageProfit"], df["riskMeasureGini"], alpha=0.7, s=MARKER_AREA)
|
|
|
|
plt.xlabel("Przeciętny Zysk", fontsize=LABEL_FONT_SIZE)
|
|
plt.ylabel("Ryzyko", fontsize=LABEL_FONT_SIZE)
|
|
plt.xticks(fontsize=LABEL_FONT_SIZE)
|
|
plt.yticks(fontsize=LABEL_FONT_SIZE)
|
|
plt.grid(visible=True, alpha=0.3)
|
|
plt.tight_layout()
|
|
plt.show()
|
|
|
|
logger.info(
|
|
"Average Profit range: %.2f to %.2f",
|
|
df["averageProfit"].min(),
|
|
df["averageProfit"].max(),
|
|
)
|
|
logger.info(
|
|
"Gini Risk range: %.2f to %.2f",
|
|
df["riskMeasureGini"].min(),
|
|
df["riskMeasureGini"].max(),
|
|
)
|
|
logger.info("Number of data points: %d", len(df))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
logging.basicConfig(format="%(message)s", level=logging.INFO)
|
|
main()
|