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