WUT_Computer_Science/NotProgramming/SPD/spd_5/main.py
Krzysztof kuhy Rudnicki bd24dd57ea Hold the coursework to the same lint bar as the tooling
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
2026-08-28 19:53:04 +02:00

48 lines
1.4 KiB
Python
Executable File

#!/usr/bin/env python3
"""Plot the SPD lab-5 measurement series."""
import matplotlib.pyplot as plt
import numpy as np
# Data
delta_t = np.array([500, 200, 100, 50, 20, 10, 5, 3])
ton_60_db = [60, 60, 59, 58, 50, 46, 42, 39]
szum_20_db_per_hz = [20, 19, 18, 16, 12, 11, 8, 8]
ton_60_db_minus = [ton - 60 for ton in ton_60_db]
szum_20_db_per_hz_minus = [szum - 20 for szum in szum_20_db_per_hz]
# Theoretical lines
delta_t_line = np.logspace(np.log10(3), np.log10(500), 100)
log_delta_t_line = np.log10(delta_t_line)
# Equations in terms of log(delta_t)
# For Broadband Noise: y = 10 * log10(delta_t) - 25
y_broadband_line = 10 * log_delta_t_line - 25
# For Pure Tone: y = 9 * log10(delta_t) - 19
y_pure_tone_line = 9 * log_delta_t_line - 19
# Plotting
plt.figure(figsize=(10, 6))
# Plot the experimental data
plt.semilogx(delta_t, ton_60_db_minus, "o", label="Ton eksperymentalny 60 dB")
plt.semilogx(
delta_t, szum_20_db_per_hz_minus, "s", label="Szum eksperymentalny 20 dB/Hz"
)
# Plot the theoretical lines
plt.semilogx(delta_t_line, y_pure_tone_line, label="Ton - krzywa teoretyczna")
plt.semilogx(delta_t_line, y_broadband_line, label="Szum - krzywa teoereyczna")
plt.xlabel("Czas trwania sygnału [ms]", fontsize=40)
plt.ylabel("Poziom względny głośności [dB]", fontsize=40)
plt.title("Głośnośc vs czas", fontsize=48)
plt.legend(fontsize=32)
plt.grid(visible=True, which="both", ls="--")
plt.xticks(fontsize=32)
plt.yticks(fontsize=32)
plt.show()