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test: add failing test
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‎tests/test_data.py‎

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from load_distribution import Singularity
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import numpy as np
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big_list_o_singularities = [
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Singularity(
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x0=6.628,
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x1=7.859,
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m=np.float64(0.0),
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y0=np.float64(-111.0726290117895),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=0.413,
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m=np.float64(0.0),
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y0=np.float64(1684.3833962328304),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=6.628,
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x1=7.859,
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m=np.float64(0.0),
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y0=np.float64(-111.0726290117895),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=7.57,
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x1=7.859,
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m=np.float64(0.0),
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y0=np.float64(1274.5157420687394),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=6.628,
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x1=7.859,
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m=np.float64(0.0),
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y0=np.float64(-111.0726290117895),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=0.413,
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m=np.float64(0.0),
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y0=np.float64(1684.3833962328304),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=6.628,
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x1=7.859,
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m=np.float64(0.0),
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y0=np.float64(-111.0726290117895),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=7.57,
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x1=7.859,
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m=np.float64(0.0),
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y0=np.float64(1274.5157420687394),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=6.628,
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x1=7.859,
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m=np.float64(0.0),
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y0=np.float64(-111.0726290117895),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=0.413,
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m=np.float64(0.0),
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y0=np.float64(1684.3833962328304),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=3.172,
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x1=6.876,
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m=np.float64(0.0),
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y0=np.float64(-110.42669320082763),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=0.001,
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x1=3.504,
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m=np.float64(0.0),
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y0=np.float64(-110.44792139070424),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=6.628,
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x1=7.859,
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m=np.float64(0.0),
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y0=np.float64(-111.0726290117895),
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precision=6,
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eps=1e-12,
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),
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Singularity(
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x0=7.57,
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x1=7.859,
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m=np.float64(0.0),
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y0=np.float64(1274.5157420687394),
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precision=6,
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eps=1e-12,
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),
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]

‎tests/test_load_distribution.py‎

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Original file line numberDiff line numberDiff line change
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import load_distribution as ld
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import test_data as data
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from shapely import Polygon, GeometryCollection
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import pytest
@@ -236,6 +237,13 @@ def test_singularities_to_polygon():
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== "POLYGON ((0 0, 0.034368 0, 0.051573 0.5, 0.051573 0.5, 11.705 0.5, 11.705 0, 0 0))"
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)
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# This test fails due to popping multiple items from a list where the indexes have changed
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# because of the popping
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assert (
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ld.singularities_to_polygon(data.big_list_o_singularities).wkt
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) == "FAILING TEST"
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def test_overlap_region_to_singularity():
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assert ld.overlap_region_to_singularity(

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