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34 | 34 | logger = logging.getLogger(__name__)
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35 | 35 |
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36 | 36 |
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37 |
| -class Nayatani95(): |
| 37 | +class Nayatani95(object): |
38 | 38 | """
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39 | 39 | **References**
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40 | 40 |
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@@ -226,7 +226,7 @@ def xyz_to_rgb(cls, xyz):
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226 | 226 | return cls.xyz_to_rgb_m.dot(xyz)
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227 | 227 |
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228 | 228 |
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229 |
| -class Hunt(): |
| 229 | +class Hunt(object): |
230 | 230 | """
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231 | 231 | **References**
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232 | 232 |
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@@ -625,7 +625,7 @@ def _calculate_eccentricity_factor(hue_angle):
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625 | 625 | return out
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626 | 626 |
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627 | 627 |
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628 |
| -class RLAB(): |
| 628 | +class RLAB(object): |
629 | 629 | """
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630 | 630 | **References**
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631 | 631 |
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@@ -717,9 +717,10 @@ def __init__(self, x, y, z, x_n, y_n, z_n, y_n_abs, sigma, d):
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717 | 717 | logger.debug('A: {}'.format(a))
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718 | 718 | xyz_ref = self.R.dot(a).dot(Hunt.xyz_to_rgb_m).dot(xyz)
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719 | 719 | else:
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720 |
| - # So we have an array. Since constructing huge multidimensional arrays might not bee the best idea, |
721 |
| - # we will handle each input dimension separately. |
722 |
| - # First figure out how many values we have to deal with. |
| 720 | + # So we have an array. Since constructing huge multidimensional |
| 721 | + # arrays might not bee the best idea, we will handle each input |
| 722 | + # dimension separately. First figure out how many values we have to |
| 723 | + # deal with. |
723 | 724 | input_dim = len(x)
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724 | 725 | # No create the ouput array that we will fill layer by layer
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725 | 726 | xyz_ref = numpy.zeros((3, input_dim))
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@@ -751,7 +752,7 @@ def __init__(self, x, y, z, x_n, y_n, z_n, y_n_abs, sigma, d):
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751 | 752 | self._saturation = self.chroma / self.lightness
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752 | 753 |
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753 | 754 |
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754 |
| -class ATD95(): |
| 755 | +class ATD95(object): |
755 | 756 | """
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756 | 757 | **References**
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757 | 758 |
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@@ -850,7 +851,7 @@ def _xyz_to_lms(xyz):
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850 | 851 | return numpy.array([l, m, s])
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851 | 852 |
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852 | 853 |
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853 |
| -class LLAB(): |
| 854 | +class LLAB(object): |
854 | 855 | """
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855 | 856 | **References**
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856 | 857 |
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@@ -992,7 +993,7 @@ def xyz_to_rgb(cls, xyz):
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992 | 993 | return cls.xyz_to_rgb_m.dot(xyz / xyz[1])
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993 | 994 |
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994 | 995 |
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995 |
| -class CIECAM02(): |
| 996 | +class CIECAM02(object): |
996 | 997 | """
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997 | 998 | **References**
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998 | 999 |
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@@ -1216,7 +1217,6 @@ class CIECAM02m1(CIECAM02):
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1216 | 1217 | * Wu, R. C., & Wardman, R. H. (2007). Proposed modification to the CIECAM02 colour appearance model to include the
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1217 | 1218 | simultaneous contrast effects. *Color Research & Application*, 32(2), 121-129.
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1218 | 1219 | """
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1219 |
| - |
1220 | 1220 | def __init__(self, x, y, z, x_w, y_w, z_w, x_b, y_b, z_b, l_a, c, n_c, f, p, d=False):
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1221 | 1221 | """
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1222 | 1222 | :param x: X value of test sample :math:`X`.
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