ci: Quality

docs/snippets/gallery/matplotlib.py

@@ -8,14 +8,14 @@
 # Load a numpy record array from yahoo csv data with fields date, open, close,
 # volume, adj_close from the mpl-data/example directory. The record array
 # stores the date as an np.datetime64 with a day unit ('D') in the date column.
-price_data = cbook.get_sample_data("goog.npz", np_load=True)["price_data"].view(np.recarray)
+price_data = cbook.get_sample_data("goog.npz")["price_data"]
 price_data = price_data[-250:]  # get the most recent 250 trading days
 
-delta1 = np.diff(price_data.adj_close) / price_data.adj_close[:-1]
+delta1 = np.diff(price_data["adj_close"]) / price_data["adj_close"][:-1]
 
 # Marker size in units of points^2
-volume = (15 * price_data.volume[:-2] / price_data.volume[0]) ** 2
-close = 0.003 * price_data.close[:-2] / 0.003 * price_data.open[:-2]
+volume = (15 * price_data["volume"][:-2] / price_data["volume"][0])**2
+close = 0.003 * price_data["close"][:-2] / 0.003 * price_data["open"][:-2]
 
 fig, ax = plt.subplots()
 ax.scatter(delta1[:-1], delta1[1:], c=close, s=volume, alpha=0.5)

src/markdown_exec/formatters/bash.py

@@ -16,8 +16,8 @@ def _run_bash(
     id: str | None = None,  # noqa: A002,ARG001
     **extra: str,
 ) -> str:
-    process = subprocess.run(
-        ["bash", "-c", code],  # noqa: S603,S607
+    process = subprocess.run(  # noqa: S603
+        ["bash", "-c", code],  # noqa: S607
         stdout=subprocess.PIPE,
         stderr=subprocess.STDOUT,
         text=True,

src/markdown_exec/formatters/sh.py

@@ -16,8 +16,8 @@ def _run_sh(
     id: str | None = None,  # noqa: A002,ARG001
     **extra: str,
 ) -> str:
-    process = subprocess.run(
-        ["sh", "-c", code],  # noqa: S603,S607
+    process = subprocess.run(  # noqa: S603
+        ["sh", "-c", code],  # noqa: S607
         stdout=subprocess.PIPE,
         stderr=subprocess.STDOUT,
         text=True,