Format with ruff

conftest.py

@@ -1,6 +1,7 @@
 # SPDX-FileCopyrightText: Blair Bonnett
 # SPDX-License-Identifier: BSD-3-Clause
 
+
 def pytest_itemcollected(item):
     """Use the test docstring (if available) as the node ID.
 

data/share/matplotlib-pgfutils/examples/threecol/double.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=0.4, columns=2)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 t = np.linspace(0, 10, 400)
 s = 0.3 * t + 2.5 * np.cos(2 * np.pi * 0.85 * t) - 0.8
 

data/share/matplotlib-pgfutils/examples/threecol/single.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=0.4, columns=1)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 t = np.linspace(0, 10, 200)
 s = 0.3 * t + 2.5 * np.cos(2 * np.pi * 0.85 * t) - 0.8
 

data/share/matplotlib-pgfutils/examples/threecol/triple.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=0.4, columns=3)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 t = np.linspace(0, 10, 400)
 s = 0.3 * t + 2.5 * np.cos(2 * np.pi * 0.85 * t) - 0.8
 

data/share/matplotlib-pgfutils/examples/twocol/double.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=0.4, columns=2)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 t = np.linspace(0, 10, 400)
 s = 0.3 * t + 2.5 * np.cos(2 * np.pi * 0.85 * t) - 0.8
 

data/share/matplotlib-pgfutils/examples/twocol/single.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=0.4, columns=1)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 t = np.linspace(0, 10, 200)
 s = 0.3 * t + 2.5 * np.cos(2 * np.pi * 0.85 * t) - 0.8
 

pyproject.toml

@@ -64,10 +64,14 @@ select = [
   "W",    # pycodestyle warnings
 ]
 
-[tool.ruff.isort]
+[tool.ruff.lint.isort]
 combine-as-imports = true
 force-sort-within-sections = true
 
+[tool.ruff.lint.per-file-ignores]
+"data/**.py" = ["E402"]
+"tests/**.py" = ["E402"]
+
 
 #
 # Testing

tests/sources/environment/check_set/basic.py

@@ -3,12 +3,10 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure()
 
 import os
 
-
 name1 = os.environ.get("name1", "not set")
 name2 = os.environ.get("name2", "not set")
 

tests/sources/environment/check_set/override.py

@@ -3,17 +3,14 @@
 
 import os
 
-
 os.environ["name1"] = "original value"
 
 from pgfutils import save, setup_figure
 
-
 setup_figure()
 
 import os
 
-
 name1 = os.environ.get("name1", "not set")
 name2 = os.environ.get("name2", "not set")
 

tests/sources/environment/invalid/basic.py

@@ -3,6 +3,5 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure()
 save()

tests/sources/environment/repeated/basic.py

@@ -3,12 +3,10 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure()
 
 import os
 
-
 name1 = os.environ.get("name1", "not set")
 name2 = os.environ.get("name2", "not set")
 

tests/sources/external/cartopy_figure.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=1)
 
 import cartopy.crs as ccrs
 import matplotlib.pyplot as plt
 
-
 ax = plt.axes(projection=ccrs.PlateCarree())
 ax.stock_img()
 

tests/sources/external/seaborn_figure.py

@@ -3,12 +3,10 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=1)
 
 import seaborn as sns
 
-
 sns.set()
 tips = sns.load_dataset("tips")
 sns.relplot(

tests/sources/fix_raster_paths/figures/noise.py

@@ -3,14 +3,13 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=0.95, height=0.4)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
-noise = np.random.randn(512, 256)
+rng = np.random.default_rng(seed=100)
+noise = rng.random((512, 256))
 plt.imshow(noise, interpolation="nearest", aspect="auto")
 plt.colorbar()
 

tests/sources/fix_raster_paths/speckle.py

@@ -3,14 +3,13 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=0.95, height=0.4)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
-noise = np.random.randn(512, 256) + 1j * np.random.randn(512, 256)
+rng = np.random.default_rng(seed=1010)
+noise = rng.standard_normal((512, 256)) + 1j * rng.standard_normal((512, 256))
 plt.imshow(np.abs(noise) ** 2, interpolation="nearest", aspect="auto")
 plt.colorbar()
 

tests/sources/fonts/custom_font.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=0.95, height=0.4)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 t = np.linspace(-4, 4, 201)
 plt.plot(t, 2 * np.sin(2 * np.pi * 2.5 * t))
 

tests/sources/fonts/noconfig/custom_font.py

@@ -3,7 +3,6 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(
     width=0.5,
     height=0.4,
@@ -16,7 +15,6 @@
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 t = np.linspace(-4, 4, 201)
 plt.plot(t, 2 * np.sin(2 * np.pi * 2.5 * t))
 

tests/sources/kwargs/default.py

@@ -3,6 +3,5 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=1)
 save()

tests/sources/kwargs/overridden.py

@@ -3,6 +3,5 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=1, figure_background="red")
 save()

tests/sources/legend/legend_only.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=1)
 
 from matplotlib import pyplot as plt
 from matplotlib.lines import Line2D
 
-
 cmap = plt.cm.coolwarm
 custom_lines = [
     Line2D([0], [0], color=cmap(0), lw=4),

tests/sources/pythonpath/using_custom_lib.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=1)
 
 from custom_library import get_data
 import matplotlib.pyplot as plt
 
-
 t, s = get_data()
 plt.plot(t, s)
 

tests/sources/tikzpicture/square.py

@@ -4,13 +4,11 @@
 # Set up the figure environment.
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=0.9, height=0.4)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 # Generate square wave from a few terms of its Fourier series.
 f = 3
 t = np.linspace(0, 1, 501)

tests/sources/tracking/config_enabled/config_enabled.py

@@ -3,13 +3,11 @@
 
 from pgfutils import add_dependencies, save, setup_figure
 
-
 setup_figure(width=1, height=1)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 noise = np.load("noise.npy")
 plt.imshow(noise)
 plt.colorbar()

tests/sources/tracking/dependency_loadtxt.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=1)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 data = np.loadtxt("scatter.csv", delimiter=",", dtype=int)
 
 x = data[:, :3]

tests/sources/tracking/dependency_npy.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=1)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 data = np.load("noise.npy")
 
 x = data[:, :3]

tests/sources/tracking/dependency_pathlib.py

@@ -3,15 +3,13 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(width=1, height=1)
 
 import pathlib
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 datastr = pathlib.Path("scatter.csv").read_text()
 data = np.genfromtxt(datastr.splitlines(), delimiter=",", dtype=int)
 

tests/sources/tracking/extra_dirs/multi.py

@@ -3,13 +3,11 @@
 
 from pgfutils import add_dependencies, save, setup_figure
 
-
 setup_figure(width=1, height=1)
 
 from matplotlib import pyplot as plt
 import numpy as np
 
-
 noise = np.load("../noise.npy")
 plt.imshow(noise)
 plt.colorbar()

tests/sources/tracking/imports/cfg_extra/figure.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(height=0.3)
 
 from custom_lib import get_data
 from matplotlib import pyplot as plt
 
-
 t, s = get_data()
 plt.plot(t, s)
 

tests/sources/tracking/imports/cfg_pythonpath/figure.py

@@ -3,13 +3,11 @@
 
 from pgfutils import save, setup_figure
 
-
 setup_figure(height=0.3)
 
 from custom_lib import get_data
 from matplotlib import pyplot as plt
 
-
 t, s = get_data()
 plt.plot(t, s)