{"action":"created","comment":{"url":"https://api.github.com/repos/pytroll/trollimage/pulls/comments/234767990","pull_request_review_id":176480669,"id":234767990,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDIzNDc2Nzk5MA==","diff_hunk":"@@ -1116,87 +1116,150 @@ def test_colorize(self):\n         img.colorize(brbg)\n \n         values = img.data.values\n-\n-        expected = np.array([[\n-            [3.29409498e-01,   3.59108764e-01,   3.88800969e-01,\n-             4.18486092e-01,   4.48164112e-01,   4.77835010e-01,\n-             5.07498765e-01,   5.37155355e-01,   5.65419479e-01,\n-             5.92686124e-01,   6.19861622e-01,   6.46945403e-01,\n-             6.73936907e-01,   7.00835579e-01,   7.27640871e-01],\n-            [7.58680358e-01,   8.01695237e-01,   8.35686284e-01,\n-             8.60598212e-01,   8.76625002e-01,   8.84194741e-01,\n-             8.83948647e-01,   8.76714923e-01,   8.95016030e-01,\n-             9.14039881e-01,   9.27287161e-01,   9.36546985e-01,\n-             9.43656076e-01,   9.50421050e-01,   9.58544227e-01],\n-            [9.86916929e-01,   1.02423117e+00,   1.03591220e+00,\n-             1.02666645e+00,   1.00491333e+00,   9.80759775e-01,\n-             9.63746819e-01,   9.60798629e-01,   9.47739946e-01,\n-             9.27428067e-01,   9.01184523e-01,   8.71168132e-01,\n-             8.40161241e-01,   8.11290344e-01,   7.87705814e-01],\n-            [7.57749840e-01,   7.20020026e-01,   6.82329616e-01,\n-             6.44678929e-01,   6.07068282e-01,   5.69497990e-01,\n-             5.31968369e-01,   4.94025422e-01,   4.54275131e-01,\n-             4.14517560e-01,   3.74757709e-01,   3.35000583e-01,\n-             2.95251189e-01,   2.55514533e-01,   2.15795621e-01],\n-            [1.85805611e-01,   1.58245609e-01,   1.30686714e-01,\n-             1.03128926e-01,   7.55722460e-02,   4.80166757e-02,\n-             2.04622160e-02,   3.79809920e-03,   3.46310306e-03,\n-             3.10070529e-03,   2.68579661e-03,   2.19341216e-03,\n-             1.59875239e-03,   8.77203803e-04,   4.35952940e-06]],\n-\n-            [[1.88249866e-01,   2.05728128e-01,   2.23209861e-01,\n-              2.40695072e-01,   2.58183766e-01,   2.75675949e-01,\n-              2.93171625e-01,   3.10670801e-01,   3.32877903e-01,\n-              3.58244116e-01,   3.83638063e-01,   4.09059827e-01,\n-              4.34509485e-01,   4.59987117e-01,   4.85492795e-01],\n-             [5.04317660e-01,   4.97523483e-01,   4.92879482e-01,\n-              4.90522941e-01,   4.90521579e-01,   4.92874471e-01,\n-              4.97514769e-01,   5.04314130e-01,   5.48356836e-01,\n-              6.02679755e-01,   6.57930117e-01,   7.13582394e-01,\n-              7.69129132e-01,   8.24101035e-01,   8.78084923e-01],\n-             [9.05957986e-01,   9.00459829e-01,   9.01710827e-01,\n-              9.09304816e-01,   9.21567297e-01,   9.36002510e-01,\n-              9.49878533e-01,   9.60836244e-01,   9.50521017e-01,\n-              9.42321192e-01,   9.36098294e-01,   9.31447978e-01,\n-              9.27737112e-01,   9.24164130e-01,   9.19837458e-01],\n-             [9.08479555e-01,   8.93119640e-01,   8.77756168e-01,\n-              8.62389039e-01,   8.47018155e-01,   8.31643415e-01,\n-              8.16264720e-01,   7.98248733e-01,   7.69688456e-01,\n-              7.41111049e-01,   7.12515170e-01,   6.83899486e-01,\n-              6.55262669e-01,   6.26603399e-01,   5.97920364e-01],\n-             [5.71406981e-01,   5.45439361e-01,   5.19471340e-01,\n-              4.93502919e-01,   4.67534097e-01,   4.41564875e-01,\n-              4.15595252e-01,   3.91172349e-01,   3.69029170e-01,\n-              3.46833147e-01,   3.24591169e-01,   3.02310146e-01,\n-              2.79997004e-01,   2.57658679e-01,   2.35302110e-01]],\n-\n-            [[1.96102817e-02,   2.23037080e-02,   2.49835320e-02,\n-              2.76497605e-02,   3.03024001e-02,   3.29414575e-02,\n-              3.55669395e-02,   3.81788529e-02,   5.03598778e-02,\n-              6.89209657e-02,   8.74757090e-02,   1.06024973e-01,\n-              1.24569626e-01,   1.43110536e-01,   1.61648577e-01],\n-             [1.82340027e-01,   2.15315774e-01,   2.53562955e-01,\n-              2.95884521e-01,   3.41038527e-01,   3.87773687e-01,\n-              4.34864157e-01,   4.81142673e-01,   5.00410360e-01,\n-              5.19991397e-01,   5.47394263e-01,   5.82556639e-01,\n-              6.25097005e-01,   6.74344521e-01,   7.29379582e-01],\n-             [7.75227971e-01,   8.13001048e-01,   8.59395545e-01,\n-              9.04577146e-01,   9.40342288e-01,   9.61653621e-01,\n-              9.67479211e-01,   9.60799542e-01,   9.63421077e-01,\n-              9.66445062e-01,   9.67352042e-01,   9.63790783e-01,\n-              9.53840372e-01,   9.36234978e-01,   9.10530024e-01],\n-             [8.86771441e-01,   8.67903107e-01,   8.48953980e-01,\n-              8.29924111e-01,   8.10813555e-01,   7.91622365e-01,\n-              7.72350598e-01,   7.51439565e-01,   7.24376642e-01,\n-              6.97504841e-01,   6.70822717e-01,   6.44328750e-01,\n-              6.18021348e-01,   5.91898843e-01,   5.65959492e-01],\n-             [5.40017537e-01,   5.14048293e-01,   4.88079755e-01,\n-              4.62111921e-01,   4.36144791e-01,   4.10178361e-01,\n-              3.84212632e-01,   3.58028450e-01,   3.31935148e-01,\n-              3.06445966e-01,   2.81566598e-01,   2.57302099e-01,\n-              2.33656886e-01,   2.10634733e-01,   1.88238767e-01]]])\n-\n-        np.testing.assert_allclose(values, expected)\n+        \n+        expected = np.array([[[3.29409498e-01, 3.59108764e-01, 3.88800969e-01, 4.18486092e-01,\n+         4.48164112e-01, 4.77835010e-01, 5.07498765e-01, 5.37155355e-01,\n+         5.65419479e-01, 5.92686124e-01, 6.19861622e-01, 6.46945403e-01,\n+         6.73936907e-01, 7.00835579e-01, 7.27640871e-01],\n+        [7.58680358e-01, 8.01695237e-01, 8.35686284e-01, 8.60598212e-01,\n+         8.76625002e-01, 8.84194741e-01, 8.83948647e-01, 8.76714923e-01,\n+         8.95016030e-01, 9.14039881e-01, 9.27287161e-01, 9.36546985e-01,\n+         9.43656076e-01, 9.50421050e-01, 9.58544227e-01],\n+        [9.86916929e-01, 1.02423117e+00, 1.03591220e+00, 1.02666645e+00,\n+         1.00491333e+00, 9.80759775e-01, 9.63746819e-01, 9.60798629e-01,\n+         9.47739946e-01, 9.27428067e-01, 9.01184523e-01, 8.71168132e-01,\n+         8.40161241e-01, 8.11290344e-01, 7.87705814e-01],\n+        [7.57749840e-01, 7.20020026e-01, 6.82329616e-01, 6.44678929e-01,\n+         6.07068282e-01, 5.69497990e-01, 5.31968369e-01, 4.94025422e-01,\n+         4.54275131e-01, 4.14517560e-01, 3.74757709e-01, 3.35000583e-01,\n+         2.95251189e-01, 2.55514533e-01, 2.15795621e-01],\n+        [1.85805611e-01, 1.58245609e-01, 1.30686714e-01, 1.03128926e-01,\n+         7.55722460e-02, 4.80166757e-02, 2.04622160e-02, 3.79809920e-03,\n+         3.46310306e-03, 3.10070529e-03, 2.68579661e-03, 2.19341216e-03,\n+         1.59875239e-03, 8.77203803e-04, 4.35952940e-06]],\n+\n+       [[1.88249866e-01, 2.05728128e-01, 2.23209861e-01, 2.40695072e-01,\n+         2.58183766e-01, 2.75675949e-01, 2.93171625e-01, 3.10670801e-01,\n+         3.32877903e-01, 3.58244116e-01, 3.83638063e-01, 4.09059827e-01,\n+         4.34509485e-01, 4.59987117e-01, 4.85492795e-01],\n+        [5.04317660e-01, 4.97523483e-01, 4.92879482e-01, 4.90522941e-01,\n+         4.90521579e-01, 4.92874471e-01, 4.97514769e-01, 5.04314130e-01,\n+         5.48356836e-01, 6.02679755e-01, 6.57930117e-01, 7.13582394e-01,\n+         7.69129132e-01, 8.24101035e-01, 8.78084923e-01],\n+        [9.05957986e-01, 9.00459829e-01, 9.01710827e-01, 9.09304816e-01,\n+         9.21567297e-01, 9.36002510e-01, 9.49878533e-01, 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- [ ] Tests added (for all bug fixes or enhancements)\r\n - [ ] Tests passed (for all non-documentation changes)\r\n - [ ] Passes ``git diff origin/master **/*py | flake8 --diff`` (remove if you did not edit any Python 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