proportional plots

.gitignore

@@ -160,4 +160,5 @@ cython_debug/
 #.idea/
 
 *.png
+*.wav
 commits.json

metrics/Dockerfile

@@ -8,6 +8,9 @@ COPY metrics.py /code/metrics.py
 RUN git fetch && git checkout 54a6912baf715816e3dcbfd074c0e2d7b8c74fe3
 RUN python3 /code/metrics.py
 
+RUN git fetch && git checkout 936f41735a4f7913e49fb16c44e89901bf703568
+RUN python3 /code/metrics.py
+
 FROM python:3.11
 RUN python3 -m pip install matplotlib
 WORKDIR /code/

metrics/render.py

@@ -66,6 +66,7 @@ def render_ploc():
         units.append((x, *ys))
     X, Yp, Yc, Yb = np.array(units).transpose()
     plt.clf()
+    plt.axhline(8000, alpha=0.5)
     plt.axhline(7000, alpha=0.5)
     plt.axhline(6000, alpha=0.5)
     plt.axhline(0, alpha=0.5)

xmetrics/Dockerfile

@@ -11,7 +11,7 @@ ENV SRCPATTERN="*.cs"
 FROM metrics-base as metrics-radn
 RUN git clone https://gitea.parrrate.ru/PTV/radn-rs.git
 WORKDIR /code/radn-rs/
-RUN git fetch && git checkout f29ea3dbc8d10b83a0a1536f65d4b9f16f457d46
+RUN git fetch && git checkout 936f41735a4f7913e49fb16c44e89901bf703568
 
 FROM metrics-base as metrics-mdbook
 RUN git clone https://github.com/rust-lang/mdBook.git
@@ -53,7 +53,9 @@ RUN python3 /code/metrics.py
 
 FROM python:3.11
 RUN python3 -m pip install matplotlib
+RUN python3 -m pip install scipy
 WORKDIR /code/
 COPY --from=metrics /code/metrics.json metrics.json
+RUN mkdir /code/metrics/
 COPY render.py render.py
 RUN python3 render.py

xmetrics/render.py

@@ -3,6 +3,7 @@ import json
 import matplotlib.pyplot as plt
 import numpy as np
 from matplotlib.colors import hsv_to_rgb
+from scipy.io import wavfile
 
 plt.rcParams["figure.figsize"] = [18, 9]
 plt.style.use("dark_background")
@@ -21,24 +22,38 @@ def render_ploc():
     plt.plot(X, Y)
     plt.fill_between(X, Y, Y - Ya, alpha=0.5, color="green")
     plt.fill_between(X, Y, Y + Yd, alpha=0.5, color="red")
-    plt.savefig("/code/metrics.png")
+    plt.savefig("/code/metrics/metrics.png")
 
 
-def render_cors():
+def render_cors(*, px, pc):
     M = len(cors)
     N = len(cors[0])
-    X = np.arange(N)
     Y = np.array(cors)
+    if px:
+        X = abs(np.diff(Y, axis=1, prepend=0)).sum(axis=0).cumsum()
+    else:
+        X = np.arange(N)
+    assert Y.shape == (M, N)
+    W = Y.max(axis=1)
+    I = W.cumsum()
+    assert I.shape == (M,)
     plt.clf()
-    C = M
+    if pc:
+        Z = (I - W / 2) / I.max() * M
+    else:
+        Z = np.arange(M)
+    colours = hsv_to_rgb(np.array([3.0 * Z / M % 1, 0.4 + Z * 0, 0.6 + 0.15 * (Z / M)]).transpose())
     plt.stackplot(
         X,
         Y,
-        colors=[hsv_to_rgb((i / C, 0.25, 0.75)) for i in range(C)],
+        colors=colours,
         aa=False,
     )
-    plt.savefig("/code/metrics-cors.png")
+    plt.savefig(f"/code/metrics/metrics-px{int(px)}-pc{int(pc)}.png")
 
 
 render_ploc()
-render_cors()
+render_cors(px=False, pc=False)
+render_cors(px=False, pc=True)
+render_cors(px=True, pc=False)
+render_cors(px=True, pc=True)

xmetrics/render.sh

@@ -1,6 +1,4 @@
 clear
 docker compose up -d --build metrics
-mkdir metrics
-docker cp temp-metrics:/code/metrics.png ./metrics/metrics.png
-docker cp temp-metrics:/code/metrics-cors.png ./metrics/metrics-cors.png
+docker cp temp-metrics:/code/metrics/ .
 docker compose down