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

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

Author: pre-commit-ci[bot]

output/posts/numfocus-colour-0314-and-colour-datasets-010/index.rst

@@ -77,8 +77,8 @@ conversions:
 
 .. code-block:: python
 
-    >>> sd = colour.COLOURCHECKERS_SDS['ColorChecker N Ohta']['dark skin']
-    >>> convert(sd, 'Spectral Distribution', 'sRGB', verbose={'mode': 'Short'})
+    >>> sd = colour.COLOURCHECKERS_SDS["ColorChecker N Ohta"]["dark skin"]
+    >>> convert(sd, "Spectral Distribution", "sRGB", verbose={"mode": "Short"})
 
 ::
 

output/posts/physical-lighting-quantities-tying-both-ends/index.rst

@@ -96,7 +96,9 @@ implements the aforementioned model with Python:
 .. code:: python
 
     >>> import colour_hdri
-    >>> colour_hdri.saturation_based_speed_focal_plane_exposure(18, 5.6, 0.25, 400)
+    >>> colour_hdri.saturation_based_speed_focal_plane_exposure(
+    ...     18, 5.6, 0.25, 400
+    ... )
     0.46993364546604555
 
 `Colour - Nuke <https://github.com/colour-science/colour-nuke/blob/master/colour_nuke/scripts/digital_still_camera_exposure.nk>`__
@@ -148,9 +150,13 @@ implements support for absolute luminance calibration with Python:
     >>> import numpy as np
     >>> RGB = np.ones([2048, 1024, 3])
     >>> colour_hdri.upper_hemisphere_illuminance_Lagarde2016(RGB)
-    >>> colour_hdri.absolute_luminance_calibration_Lagarde2016(RGB, 120000)[0, 0]
+    >>> colour_hdri.absolute_luminance_calibration_Lagarde2016(RGB, 120000)[
+    ...     0, 0
+    ... ]
     array([ 38215.85392444,  38215.85392444,  38215.85392444])
-    >>> colour_hdri.calibration.absolute_luminance.upper_hemisphere_illuminance_Lagarde2016(RGB)
+    >>> colour_hdri.calibration.absolute_luminance.upper_hemisphere_illuminance_Lagarde2016(
+    ...     RGB
+    ... )
     3.1400580564615663
 
 .. class:: alert alert-dismissible alert-info

output/posts/the-road-to-stable/index.rst

@@ -56,8 +56,13 @@ The following example showcases the current implementation, defining metadata fo
 
         V = np.asarray(V)
 
-        R_Y = (1.2219 * V - 0.23111 * (V * V) + 0.23951 * (V ** 3) - 0.021009 *
-              (V ** 4) + 0.0008404 * (V ** 5))
+        R_Y = (
+            1.2219 * V
+            - 0.23111 * (V * V)
+            + 0.23951 * (V**3)
+            - 0.021009 * (V**4)
+            + 0.0008404 * (V**5)
+        )
 
         return R_Y
 

posts/numfocus-colour-0314-and-colour-datasets-010.rst

@@ -77,8 +77,8 @@ conversions:
 
 .. code-block:: python
 
-    >>> sd = colour.COLOURCHECKERS_SDS['ColorChecker N Ohta']['dark skin']
-    >>> convert(sd, 'Spectral Distribution', 'sRGB', verbose={'mode': 'Short'})
+    >>> sd = colour.COLOURCHECKERS_SDS["ColorChecker N Ohta"]["dark skin"]
+    >>> convert(sd, "Spectral Distribution", "sRGB", verbose={"mode": "Short"})
 
 ::
 

posts/physical-lighting-quantities-tying-both-ends.rst

@@ -96,7 +96,9 @@ implements the aforementioned model with Python:
 .. code:: python
 
     >>> import colour_hdri
-    >>> colour_hdri.saturation_based_speed_focal_plane_exposure(18, 5.6, 0.25, 400)
+    >>> colour_hdri.saturation_based_speed_focal_plane_exposure(
+    ...     18, 5.6, 0.25, 400
+    ... )
     0.46993364546604555
 
 `Colour - Nuke <https://github.com/colour-science/colour-nuke/blob/master/colour_nuke/scripts/digital_still_camera_exposure.nk>`__
@@ -148,9 +150,13 @@ implements support for absolute luminance calibration with Python:
     >>> import numpy as np
     >>> RGB = np.ones([2048, 1024, 3])
     >>> colour_hdri.upper_hemisphere_illuminance_Lagarde2016(RGB)
-    >>> colour_hdri.absolute_luminance_calibration_Lagarde2016(RGB, 120000)[0, 0]
+    >>> colour_hdri.absolute_luminance_calibration_Lagarde2016(RGB, 120000)[
+    ...     0, 0
+    ... ]
     array([ 38215.85392444,  38215.85392444,  38215.85392444])
-    >>> colour_hdri.calibration.absolute_luminance.upper_hemisphere_illuminance_Lagarde2016(RGB)
+    >>> colour_hdri.calibration.absolute_luminance.upper_hemisphere_illuminance_Lagarde2016(
+    ...     RGB
+    ... )
     3.1400580564615663
 
 .. class:: alert alert-dismissible alert-info

posts/the-road-to-stable.rst

@@ -56,8 +56,13 @@ The following example showcases the current implementation, defining metadata fo
 
         V = np.asarray(V)
 
-        R_Y = (1.2219 * V - 0.23111 * (V * V) + 0.23951 * (V ** 3) - 0.021009 *
-              (V ** 4) + 0.0008404 * (V ** 5))
+        R_Y = (
+            1.2219 * V
+            - 0.23111 * (V * V)
+            + 0.23951 * (V**3)
+            - 0.021009 * (V**4)
+            + 0.0008404 * (V**5)
+        )
 
         return R_Y