mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
synced 2026-11-10 19:47:32 +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
147 lines
3.5 KiB
Python
Executable File
147 lines
3.5 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Plot the SPD lab-3 measurement series."""
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import matplotlib.pyplot as plt
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# Values 1
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x1 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
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y1 = [33.2, 35.48, 27.67, 19.41, 15.3, 15.44, 13.59]
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# Values 2
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x2 = [0.4, 0.5, 0.6, 0.7]
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y2 = [13.29, 11.25, 12.55, 13.26]
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# Values 3
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x3 = [0.4, 0.5, 0.6, 0.7]
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y3 = [22.06, 15.48, 18.74, 17.71]
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# Create the plot
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plt.figure(figsize=(10, 6))
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# Plot each line with different styles
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plt.plot(x1, y1, marker="o", linestyle="-", color="blue", label="symetrycznie 500 Hz")
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plt.plot(
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x2, y2, marker="s", linestyle="--", color="green", label="asymetrycznie 550 Hz"
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)
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plt.plot(x3, y3, marker="^", linestyle="-.", color="red", label="asymetrycznie 450 Hz")
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# Add labels and title
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plt.xlabel("parametr g", fontsize=40)
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plt.ylabel("Prod detekcji syngalu [dB]", fontsize=40)
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plt.title("500 Hz", fontsize=48)
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# Add a legend
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plt.legend(fontsize=32)
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# Optional: Add gridlines
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plt.grid(visible=True)
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plt.xticks(fontsize=32)
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plt.yticks(fontsize=32)
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# Display the plot
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plt.show()
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# Values 1
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x1 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
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y1 = [33.06, 35.28, 23.33, 17.14, 14.33, 10.01, 4.43]
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# Values 2
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x2 = [0.4, 0.5, 0.6, 0.7]
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y2 = [15.22, 8.16, 6.45, 6.27]
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# Values 3
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x3 = [0.4, 0.5, 0.6, 0.7]
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y3 = [13.0, 13.06, 7.8, 1.7]
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# Create the plot
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plt.figure(figsize=(10, 6))
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# Plot each line with different styles
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plt.plot(x1, y1, marker="o", linestyle="-", color="blue", label="symetrycznie 1500 Hz")
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plt.plot(
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x2, y2, marker="s", linestyle="--", color="green", label="asymetrycznie 1650 Hz"
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)
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plt.plot(x3, y3, marker="^", linestyle="-.", color="red", label="asymetrycznie 1350 Hz")
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# Add labels and title
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plt.xlabel("parametr g", fontsize=40)
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plt.ylabel("Prod detekcji syngalu [dB]", fontsize=40)
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plt.title("1500 Hz", fontsize=48)
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# Add a legend
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plt.legend(fontsize=32)
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# Optional: Add gridlines
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plt.grid(visible=True)
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plt.xticks(fontsize=32)
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plt.yticks(fontsize=32)
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# Display the plot
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plt.show()
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# Values 1
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x1 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
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y1 = [33.2, 35.48, 27.67, 19.41, 15.3, 15.44, 13.59]
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# Values 2
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x2 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
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y2 = [33.06, 35.28, 23.33, 17.14, 14.33, 10.01, 4.43]
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# Create the plot
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plt.figure(figsize=(10, 6))
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# Plot each line with different styles
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plt.plot(x1, y1, marker="o", linestyle="-", color="blue", label="symetrycznie 500 Hz")
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plt.plot(
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x2, y2, marker="s", linestyle="--", color="green", label="symetrycznie 1500 Hz"
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)
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# Add labels and title
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plt.xlabel("parametr g", fontsize=40)
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plt.ylabel("Prod detekcji syngalu [dB]", fontsize=40)
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plt.title("500 Hz vs 1500 Hz", fontsize=48)
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# Add a legend
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plt.legend(fontsize=32)
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# Optional: Add gridlines
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plt.grid(visible=True)
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plt.xticks(fontsize=32)
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plt.yticks(fontsize=32)
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# Display the plot
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plt.show()
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# Values 1
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x1 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
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y1 = [33.2, 35.48, 27.67, 19.41, 15.3, 15.44, 13.59]
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# Values 2
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x2 = [0.005, 0.01, 0.02, 0.05, 0.1, 0.3]
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y2 = [81.59, 60.08, 68.48, 58.77, 53.6, 55.46]
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# Create the plot
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plt.figure(figsize=(10, 6))
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# Plot each line with different styles
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plt.plot(x1, y1, marker="o", linestyle="-", color="blue", label="pasmowy 500 Hz")
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plt.plot(
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x2, y2, marker="s", linestyle="--", color="green", label="pasmowo-zaporowy 500 Hz"
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)
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# Add labels and title
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plt.xlabel("parametr g", fontsize=40)
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plt.ylabel("Prod detekcji syngalu [dB]", fontsize=40)
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plt.title("Porownanie szum pasmowy vs szum pasmowo zaporowy dla 500 Hz", fontsize=48)
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# Add a legend
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plt.legend(fontsize=32)
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# Optional: Add gridlines
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plt.grid(visible=True)
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plt.xticks(fontsize=32)
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plt.yticks(fontsize=32)
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# Display the plot
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plt.show()
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