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Commit47c447a

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phobsonOceanWolf
authored andcommitted
refactor tests a bit to handle non-invertable Norms
1 parent3cc84a6 commit47c447a

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1 file changed

+17
-11
lines changed

1 file changed

+17
-11
lines changed

‎lib/matplotlib/tests/test_colors.py

Lines changed: 17 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -164,13 +164,16 @@ def test_Normalize():
164164
_mask_tester(norm,vals)
165165

166166

167-
class_base_NormMixin(object):
167+
classBaseNormMixin(object):
168168
deftest_call(self):
169169
normed_vals=self.norm(self.vals)
170170
assert_array_almost_equal(normed_vals,self.expected)
171171

172172
deftest_inverse(self):
173-
_inverse_tester(self.norm,self.vals)
173+
ifself.test_inverse:
174+
_inverse_tester(self.norm,self.vals)
175+
else:
176+
pass
174177

175178
deftest_scalar(self):
176179
_scalar_tester(self.norm,self.vals)
@@ -224,39 +227,42 @@ def test_process_value_array(self):
224227
assert_array_equal(res,np.array([5.,10.]))
225228

226229

227-
classtest_OffsetNorm_Even(_base_NormMixin):
230+
classBaseOffsetNorm(BaseNormMixin):
231+
normclass=mcolors.OffsetNorm
232+
test_inverse=False
233+
234+
classtest_OffsetNorm_Even(BaseOffsetNorm):
228235
defsetup(self):
229-
self.normclass=mcolors.OffsetNorm
230236
self.norm=self.normclass(vmin=-1,vcenter=0,vmax=4)
231237
self.vals=np.array([-1.0,-0.5,0.0,1.0,2.0,3.0,4.0])
232238
self.expected=np.array([0.0,0.25,0.5,0.625,0.75,0.875,1.0])
233239

234240

235-
classtest_OffsetNorm_Odd(_base_NormMixin):
241+
classtest_OffsetNorm_Odd(BaseOffsetNorm):
236242
defsetup(self):
237243
self.normclass=mcolors.OffsetNorm
238244
self.norm=self.normclass(vmin=-2,vcenter=0,vmax=5)
239245
self.vals=np.array([-2.0,-1.0,0.0,1.0,2.0,3.0,4.0,5.0])
240246
self.expected=np.array([0.0,0.25,0.5,0.6,0.7,0.8,0.9,1.0])
241247

242248

243-
classtest_OffsetNorm_AllNegative(_base_NormMixin):
249+
classtest_OffsetNorm_AllNegative(BaseOffsetNorm):
244250
defsetup(self):
245251
self.normclass=mcolors.OffsetNorm
246252
self.norm=self.normclass(vmin=-10,vcenter=-8,vmax=-2)
247253
self.vals=np.array([-10.,-9.,-8.,-6.,-4.,-2.])
248254
self.expected=np.array([0.0,0.25,0.5,0.666667,0.833333,1.0])
249255

250256

251-
classtest_OffsetNorm_AllPositive(_base_NormMixin):
257+
classtest_OffsetNorm_AllPositive(BaseOffsetNorm):
252258
defsetup(self):
253259
self.normclass=mcolors.OffsetNorm
254260
self.norm=self.normclass(vmin=0,vcenter=3,vmax=9)
255261
self.vals=np.array([0.,1.5,3.,4.5,6.0,7.5,9.])
256262
self.expected=np.array([0.0,0.25,0.5,0.625,0.75,0.875,1.0])
257263

258264

259-
classtest_OffsetNorm_NoVs(_base_NormMixin):
265+
classtest_OffsetNorm_NoVs(BaseOffsetNorm):
260266
defsetup(self):
261267
self.normclass=mcolors.OffsetNorm
262268
self.norm=self.normclass(vmin=None,vcenter=None,vmax=None)
@@ -283,23 +289,23 @@ def test_vmax(self):
283289
assert_equal(self.norm.vmax,self.expected_vmax)
284290

285291

286-
classtest_OffsetNorm_VminEqualsVcenter(_base_NormMixin):
292+
classtest_OffsetNorm_VminEqualsVcenter(BaseOffsetNorm):
287293
defsetup(self):
288294
self.normclass=mcolors.OffsetNorm
289295
self.norm=self.normclass(vmin=-2,vcenter=-2,vmax=2)
290296
self.vals=np.array([-2.0,-1.0,0.0,1.0,2.0])
291297
self.expected=np.array([0.5,0.625,0.75,0.875,1.0])
292298

293299

294-
classtest_OffsetNorm_VmaxEqualsVcenter(_base_NormMixin):
300+
classtest_OffsetNorm_VmaxEqualsVcenter(BaseOffsetNorm):
295301
defsetup(self):
296302
self.normclass=mcolors.OffsetNorm
297303
self.norm=self.normclass(vmin=-2,vcenter=2,vmax=2)
298304
self.vals=np.array([-2.0,-1.0,0.0,1.0,2.0])
299305
self.expected=np.array([0.0,0.125,0.25,0.375,0.5])
300306

301307

302-
classtest_OffsetNorm_VsAllEqual(_base_NormMixin):
308+
classtest_OffsetNorm_VsAllEqual(BaseOffsetNorm):
303309
defsetup(self):
304310
self.v=10
305311
self.normclass=mcolors.OffsetNorm

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