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enh: add doctests to travis (#2) #112

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Oct 7, 2018
Merged

enh: add doctests to travis (#2) #112

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2 changes: 1 addition & 1 deletion .travis.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@ install:
script:
- python setup.py sdist >/dev/null
- echo "check_stable=False" >libpysal/config.py
- nosetests --verbose --with-coverage --cover-package=libpysal;
- nosetests --with-doctest --verbose --with-coverage --cover-package=libpysal -I shapely_ext.py;
#- cd doc; make pickle; make doctest
notifications:
email:
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27 changes: 7 additions & 20 deletions libpysal/cg/alpha_shapes.py
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Expand Up @@ -171,7 +171,7 @@ def get_faces(triangle):
Example
-------

>>> triangle = np.array([3, 1, 4], dtype=int32)
>>> triangle = np.array([3, 1, 4], dtype=np.int32)
>>> faces = get_faces(triangle)
>>> faces
array([[3., 1.],
Expand Down Expand Up @@ -215,11 +215,7 @@ def build_faces(faces, triangles_is,
Example
-------
>>> import scipy.spatial as spat
>>> pts = np.array([[0, 1],
[3, 5],
[4, 1],
[6, 7],
[9, 3]])
>>> pts = np.array([[0, 1], [3, 5], [4, 1], [6, 7], [9, 3]])
>>> triangulation = spat.Delaunay(pts)
>>> triangulation.simplices
array([[3, 1, 4],
Expand All @@ -229,9 +225,8 @@ def build_faces(faces, triangles_is,
>>> num_triangles = triangulation.simplices.shape[0]
>>> num_faces = num_triangles * num_faces_single
>>> faces = np.zeros((num_faces, 2), dtype=np.int_)
>>> mask = np.ones((num_faces,), dtype=np.bool_)
>>> faces = build_faces(faces, triangulation.simplices,
num_triangles, num_faces_single)
>>> mask = np.ones((num_faces,), dtype=np.bool_)
>>> faces = build_faces(faces, triangulation.simplices, num_triangles, num_faces_single)
>>> faces
array([[3, 1],
[1, 4],
Expand Down Expand Up @@ -273,17 +268,9 @@ def nb_mask_faces(mask, faces):

Example
-------

>>> faces = array([[0, 1],
[0, 2],
[1, 2],
[1, 2],
[1, 3],
[1, 4],
[1, 4],
[2, 4],
[3, 4]])
>>> mask = np.ones((faces.shape[0], ), dtype=bool_)
>>> import numpy as np
>>> faces = np.array([[0, 1], [0, 2], [1, 2], [1, 2], [1, 3], [1, 4], [1, 4], [2, 4], [3, 4]])
>>> mask = np.ones((faces.shape[0], ), dtype=np.bool_)
>>> masked = nb_mask_faces(mask, faces)
>>> masked
array([[0, 1],
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4 changes: 2 additions & 2 deletions libpysal/io/iohandlers/gal.py
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Expand Up @@ -71,8 +71,8 @@ def _read(self):
>>> w = testfile.read()
>>> w.n == 100
True
>>> w.sd == 1.5151237573214935
True
>>> print(round(w.sd,6))
1.515124
>>> testfile = pysal.open(pysal.examples.get_path('sids2.gal'),'r')

Return a sparse matrix for the w information
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4 changes: 2 additions & 2 deletions libpysal/weights/util.py
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Expand Up @@ -1486,8 +1486,8 @@ def fuzzy_contiguity(gdf, tolerance=0.005, buffering=False, drop=True):
>>> wf = fuzzy_contiguity(rs_df)
>>> wf.islands
[]
>>> wf[0]
{239: 1.0, 59: 1.0, 152: 1.0, 23: 1.0, 107: 1.0}
>>> wf[0] == dict({239: 1.0, 59: 1.0, 152: 1.0, 23: 1.0, 107: 1.0})
True

Example needing to use buffering

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