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Remove test repr cases with numpy arrays for now.
Different numpy versions render slightly differently
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plotly/tests/test_core/test_graph_objs/test_repr.py

Lines changed: 0 additions & 58 deletions
Original file line numberDiff line numberDiff line change
@@ -52,61 +52,3 @@ def test_trace_repr_elided(self):
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'y': [0, 1, 2, ..., 997, 998, 999]
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})"""
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self.assertEqual(scatt.__repr__(), expected)
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def test_trace_repr_numpy(self):
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try:
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import numpy as np
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except ImportError:
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raise SkipTest("Numpy not installed")
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N = 100
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scatt = go.Scatter(
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y=np.arange(N),
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marker={'color': 'green',
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'opacity': np.arange(N) / N})
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expected = """\
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Scatter(**{
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'marker': {'color': 'green',
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'opacity': array([0. , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,
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0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2 , 0.21, 0.22, 0.23,
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0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3 , 0.31, 0.32, 0.33, 0.34, 0.35,
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0.36, 0.37, 0.38, 0.39, 0.4 , 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47,
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0.48, 0.49, 0.5 , 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59,
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0.6 , 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7 , 0.71,
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0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8 , 0.81, 0.82, 0.83,
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0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9 , 0.91, 0.92, 0.93, 0.94, 0.95,
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0.96, 0.97, 0.98, 0.99])},
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'type': 'scatter',
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'y': array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13.,
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14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,
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28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,
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42., 43., 44., 45., 46., 47., 48., 49., 50., 51., 52., 53., 54., 55.,
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56., 57., 58., 59., 60., 61., 62., 63., 64., 65., 66., 67., 68., 69.,
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70., 71., 72., 73., 74., 75., 76., 77., 78., 79., 80., 81., 82., 83.,
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84., 85., 86., 87., 88., 89., 90., 91., 92., 93., 94., 95., 96., 97.,
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98., 99.])
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})"""
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self.assertEqual(scatt.__repr__(), expected)
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def test_trace_repr_numpy_elided(self):
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try:
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import numpy as np
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except ImportError:
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raise SkipTest("Numpy not installed")
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N = 1000
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scatt = go.Scatter(
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y=np.arange(N),
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marker={'color': 'green',
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'opacity': np.arange(N) / N})
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expected = """\
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Scatter(**{
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'marker': {'color': 'green',
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'opacity': array([0. , 0.001, 0.002, ..., 0.997, 0.998, 0.999])},
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'type': 'scatter',
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'y': array([ 0., 1., 2., ..., 997., 998., 999.])
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})"""
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self.assertEqual(scatt.__repr__(), expected)

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