Flaking, etc.

yt/utilities/on_demand_imports.py

@@ -339,6 +339,7 @@ def ndimage(self):
             self._ndimage = ndimage
         return self._ndimage
 
+
 _scipy = scipy_imports()
 
 

yt/visualization/fixed_resolution.py

@@ -94,7 +94,15 @@ class FixedResolutionBuffer:
         ("index", "dtheta"),
     )
 
-    def __init__(self, data_source, bounds, buff_size, antialias=True, periodic=False, filters=None):
+    def __init__(
+        self,
+        data_source,
+        bounds,
+        buff_size,
+        antialias=True,
+        periodic=False,
+        filters=None,
+    ):
         self.data_source = data_source
         self.ds = data_source.ds
         self.bounds = bounds
@@ -585,7 +593,7 @@ class CylindricalFixedResolutionBuffer(FixedResolutionBuffer):
     that supports non-aligned input data objects, primarily cutting planes.
     """
 
-    def __init__(self, data_source, radius, buff_size, antialias=True, filters=None) :
+    def __init__(self, data_source, radius, buff_size, antialias=True, filters=None):
         self.data_source = data_source
         self.ds = data_source.ds
         self.radius = radius
@@ -667,8 +675,19 @@ class ParticleImageBuffer(FixedResolutionBuffer):
     buffer.
 
     """
-    def __init__(self, data_source, radius, buff_size, antialias=True, periodic=False, filters=None):
-        super(ParticleImageBuffer, self).__init__(data_source, radius, buff_size, antialias, periodic, filters)
+
+    def __init__(
+        self,
+        data_source,
+        radius,
+        buff_size,
+        antialias=True,
+        periodic=False,
+        filters=None,
+    ):
+        super(ParticleImageBuffer, self).__init__(
+            data_source, radius, buff_size, antialias, periodic, filters
+        )
 
         # set up the axis field names
         axis = self.axis

yt/visualization/fixed_resolution_filters.py

@@ -52,18 +52,16 @@ def __init__(self, sigma=2.0, nbeam=None, **kwa):
         if nbeam is not None:
             issue_deprecation_warning(
                 "The `nbeam` argument has been deprecated and should be replaced by "
-                "the `truncate` argument where `truncate=nbeam/sigma`.")
-            kwa['truncate'] = nbeam / sigma
+                "the `truncate` argument where `truncate=nbeam/sigma`."
+            )
+            kwa["truncate"] = nbeam / sigma
         self.sigma = sigma
         self.extra_args = kwa
 
     def apply(self, buff):
         from yt.utilities.on_demand_imports import _scipy
-        spl = _scipy.ndimage.gaussian_filter(
-            buff,
-            self.sigma,
-            **self.extra_args
-        )
+
+        spl = _scipy.ndimage.gaussian_filter(buff, self.sigma, **self.extra_args)
         return spl
 
 

yt/visualization/plot_container.py

@@ -356,7 +356,7 @@ def _switch_ds(self, new_ds, data_source=None):
             new_object = getattr(new_ds, name)(**kwargs)
 
         self.data_source = new_object
-        
+
         if self._frb is not None:
             self._frb._data_valid = False
         self._plot_valid = False

yt/visualization/plot_modifications.py

@@ -718,6 +718,7 @@ class GridBoundaryCallback(PlotCallback):
     One can set min and maximum level of grids to display, and
     can change the linewidth of the displayed grids.
     """
+
     _type_name = "annotate_grids"
     _supported_geometries = ("cartesian", "spectral_cube", "cylindrical")
 

yt/visualization/plot_window.py

@@ -298,7 +298,7 @@ def _recreate_frb(self):
             self.buff_size,
             self.antialias,
             periodic=self._periodic,
-            filters=old_filders
+            filters=old_filters,
         )
 
         # At this point the frb has the valid bounds, size, aliasing, etc.

yt/visualization/tests/test_filters.py

@@ -3,10 +3,12 @@
 
 """
 
-from yt.testing import fake_amr_ds, requires_module
-import yt
 import numpy as np
 
+import yt
+from yt.testing import fake_amr_ds, requires_module
+
+
 @requires_module("scipy")
 def test_white_noise_filter():
     ds = fake_amr_ds(fields=("density",))
@@ -29,20 +31,21 @@ def test_gauss_beam_filter():
 @requires_module("scipy")
 def test_filter_wiring():
     from scipy.ndimage import gaussian_filter
-    ds = fake_amr_ds(fields=("density", ))
-    p = yt.SlicePlot(ds, 'x', 'density')
+
+    ds = fake_amr_ds(fields=("density",))
+    p = yt.SlicePlot(ds, "x", "density")
 
     frb1 = p.frb
-    data_orig = frb1['density'].value
+    data_orig = frb1["density"].value
 
     sigma = 2
     p.frb.apply_gauss_beam(sigma)
     frb2 = p.frb
-    data_gauss = frb2['density'].value
+    data_gauss = frb2["density"].value
 
     p.frb.apply_white_noise()
     frb3 = p.frb
-    data_white = frb3['density'].value
+    data_white = frb3["density"].value
 
     # We check the frb have changed
     assert frb1 != frb2
@@ -55,5 +58,4 @@ def test_filter_wiring():
     assert np.allclose(data_gauss, data_white) is False
 
     # Check the gaussian filtering should is ok
-    assert np.allclose(gaussian_filter(data_orig, sigma),
-                       data_gauss)
+    assert np.allclose(gaussian_filter(data_orig, sigma), data_gauss)