Merge branch 'feature/v0.4.3' into develop

colour-science · May 12, 2023 · 96d9c5d · 96d9c5d
2 parents 6840aa9 + 3a81286
commit 96d9c5d
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Showing 11 changed files with 11 additions and 11 deletions.
diff --git a/colour/characterisation/aces_it.py b/colour/characterisation/aces_it.py
@@ -1054,7 +1054,7 @@ def matrix_idt(
     """
     Compute an *Input Device Transform* (IDT) matrix for given camera *RGB*
     spectral sensitivities, illuminant, training data, standard observer colour
-    matching functions and optimization settings according to *RAW to ACES* v1
+    matching functions and optimisation settings according to *RAW to ACES* v1
     and *P-2013-001* procedures.
 
     Parameters

diff --git a/colour/models/osa_ucs.py b/colour/models/osa_ucs.py
@@ -170,7 +170,7 @@ def OSA_UCS_to_XYZ(
     --------
     There is no analytical inverse transformation from *OSA UCS* to :math:`Ljg`
     lightness, jaune (yellowness), and greenness to *CIE XYZ* tristimulus
-    values, the current implementation relies on optimization using
+    values, the current implementation relies on optimisation using
     :func:`scipy.optimize.fmin` definition and thus has reduced precision and
     poor performance.
 

diff --git a/colour/quality/ssi.py b/colour/quality/ssi.py
@@ -60,7 +60,7 @@ def spectral_similarity_index(
         Reference spectral distribution.
     round_result
         Whether to round the result/output. This is particularly useful when
-        using SSI in an optimization routine. Default is *True*.
+        using SSI in an optimisation routine. Default is *True*.
 
     Returns
     -------

diff --git a/colour/recovery/jakob2019.py b/colour/recovery/jakob2019.py
@@ -626,7 +626,7 @@ class LUT3D_Jakob2019:
     """
     Define a class for working with pre-computed lookup tables for the
     *Jakob and Hanika (2019)* spectral upsampling method. It allows significant
-    time savings by performing the expensive numerical optimization ahead of
+    time savings by performing the expensive numerical optimisation ahead of
     time and storing the results in a file.
 
     The file format is compatible with the code and *\\*.coeff* files in the

diff --git a/colour/recovery/meng2015.py b/colour/recovery/meng2015.py
@@ -203,7 +203,7 @@ def constraint_function(a: ArrayLike) -> NDArrayFloat:
 
     if not result.success:
         raise RuntimeError(
-            f"Optimization failed for {XYZ} after {result.nit} iterations: "
+            f"Optimisation failed for {XYZ} after {result.nit} iterations: "
             f'"{result.message}".'
         )
 

diff --git a/colour/temperature/cie_d.py b/colour/temperature/cie_d.py
@@ -66,7 +66,7 @@ def xy_to_CCT_CIE_D(
     The *CIE Illuminant D Series* method does not give an analytical inverse
     transformation to compute the correlated colour temperature :math:`T_{cp}`
     from given *CIE xy* chromaticity coordinates, the current implementation
-    relies on optimization using :func:`scipy.optimize.minimize` definition and
+    relies on optimisation using :func:`scipy.optimize.minimize` definition and
     thus has reduced precision and poor performance.
 
     References

diff --git a/colour/temperature/hernandez1999.py b/colour/temperature/hernandez1999.py
@@ -121,7 +121,7 @@ def CCT_to_xy_Hernandez1999(
     function and might produce unexpected results. It is given for consistency
     with other correlated colour temperature computation methods but should be
     avoided for practical applications. The current implementation relies on
-    optimization using :func:`scipy.optimize.minimize` definition and thus has
+    optimisation using :func:`scipy.optimize.minimize` definition and thus has
     reduced precision and poor performance.
 
     References

diff --git a/colour/temperature/kang2002.py b/colour/temperature/kang2002.py
@@ -64,7 +64,7 @@ def xy_to_CCT_Kang2002(
     *Kang et al. (2002)* does not give an analytical inverse transformation to
     compute the correlated colour temperature :math:`T_{cp}` from given
     *CIE xy* chromaticity coordinates, the current implementation relies on
-    optimization using :func:`scipy.optimize.minimize` definition and thus has
+    optimisation using :func:`scipy.optimize.minimize` definition and thus has
     reduced precision and poor performance.
 
     References

diff --git a/colour/temperature/krystek1985.py b/colour/temperature/krystek1985.py
@@ -65,7 +65,7 @@ def uv_to_CCT_Krystek1985(
     *Krystek (1985)* does not give an analytical inverse transformation to
     compute the correlated colour temperature :math:`T_{cp}` from given
     *CIE UCS* colourspace *uv* chromaticity coordinates, the current
-    implementation relies on optimization using :func:`scipy.optimize.minimize`
+    implementation relies on optimisation using :func:`scipy.optimize.minimize`
     definition and thus has reduced precision and poor performance.
 
     Notes

diff --git a/colour/temperature/mccamy1992.py b/colour/temperature/mccamy1992.py
@@ -104,7 +104,7 @@ def CCT_to_xy_McCamy1992(
     might produce unexpected results. It is given for consistency with other
     correlated colour temperature computation methods but should be avoided
     for practical applications. The current implementation relies on
-    optimization using :func:`scipy.optimize.minimize` definition and thus has
+    optimisation using :func:`scipy.optimize.minimize` definition and thus has
     reduced precision and poor performance.
 
     References

diff --git a/colour/temperature/planck1900.py b/colour/temperature/planck1900.py
@@ -70,7 +70,7 @@ def uv_to_CCT_Planck1900(
 
     Warnings
     --------
-    The current implementation relies on optimization using
+    The current implementation relies on optimisation using
     :func:`scipy.optimize.minimize` definition and thus has reduced precision
     and poor performance.