[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

doc/source/changelog.rst

@@ -11,7 +11,7 @@ Change-log of versions
 * Bug fix version (Thanks to Fred Picca/Debian for testing on many architectures)
 * Use automatically dynamic mask for Dectris detector data
 
-  - Automatically recognizes and masks out bad pixel 
+  - Automatically recognizes and masks out bad pixel
   - `dummy` and `delta_dummy` values are already known from the manufacturer
   - empty bins are no more marked with the `dummy` value (which can be very large for Eiger) but with the `empty` value which is fully under control of the user, 0.0 by default.
 

doc/source/usage/tutorial/Goniometer/Rotation-Pilatus100k/ROBL_v1.json

@@ -47,4 +47,4 @@
       "pi": 3.141592653589793
     }
   }
-}
+}

doc/source/usage/tutorial/Goniometer/Rotation-Pilatus100k/ROBL_v2.json

@@ -50,4 +50,4 @@
       "pi": 3.141592653589793
     }
   }
-}
+}

src/pyFAI/integrator/azimuthal.py

@@ -134,7 +134,7 @@ def integrate1d(self, data, npt, filename=None,
             dummy = numpy.float32(dummy)
             delta_dummy = None if delta_dummy is None else numpy.float32(delta_dummy)
         empty = self._empty
-            
+
         shape = data.shape
         pos0_scale = unit.scale
 

src/pyFAI/test/test_azimuthal_integrator.py

@@ -333,7 +333,7 @@ def test_radial(self):
     def test_separate(self):
         "Non regression for #2473"
         res = self.ai.separate(self.data)
-        
+
 
 
 class TestFlatimage(unittest.TestCase):

src/pyFAI/test/test_mask.py

@@ -171,14 +171,14 @@ def test_mask_LUT(self):
         meth = ("bbox", "lut", "cython")
         x1 = self.ai.integrate1d_ng(self.data, 1000, unit="2th_deg", method=meth)
         x2 = self.ai.integrate1d_ng(self.data, 1000, mask=self.mask, unit="2th_deg", method=meth)
-        
+
         # hack too fix the test, since empty != dummy
         empty = self.ai.empty
         self.ai.empty = -20
         x3 = self.ai.integrate1d_ng(self.data, 1000, mask=numpy.zeros(shape=self.mask.shape, dtype="uint8"), dummy=-20.0, delta_dummy=19.5, unit="2th_deg", method=meth)
         self.ai.empty = empty
         # end of hack
-        
+
         res1 = numpy.interp(1.5, *x1)
         res2 = numpy.interp(1.5, *x2)
         res3 = numpy.interp(1.5, *x3)