/usr/lib/python2.7/dist-packages/chaco/tests/arraydatasource_test_case.py is in python-chaco 4.4.1-1.2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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Test of basic dataseries behavior.
"""
import unittest
from numpy import arange, array, allclose
from chaco.api import ArrayDataSource, PointDataSource
class ArrayDataTestCase(unittest.TestCase):
def test_basic_set_get(self):
myarray = arange(10)
sd = ArrayDataSource(myarray)
self.assertTrue(allclose(myarray, sd._data))
self.assert_(sd.value_dimension == "scalar")
return
def test_bounds(self):
# ascending
myarray = arange(10)
sd = ArrayDataSource(myarray, sort_order="ascending")
bounds = sd.get_bounds()
self.assert_(bounds == (0,9))
# descending
myarray = arange(10)[::-1]
sd = ArrayDataSource(myarray, sort_order="descending")
bounds = sd.get_bounds()
self.assert_(bounds == (0,9))
# no order
myarray = array([12,3,0,9,2,18,3])
sd = ArrayDataSource(myarray, sort_order="none")
bounds = sd.get_bounds()
self.assert_(bounds == (0,18))
return
def test_data_size(self):
# We know that ScalarData always returns the exact length of its data
myarray = arange(913)
sd = ArrayDataSource(myarray)
self.assert_(len(myarray) == sd.get_size())
return
class PointDataTestCase(unittest.TestCase):
# Since PointData is mostly the same as ScalarData, the key things to
# test are functionality that use _compute_bounds() and reverse_map().
def create_array(self):
return array(zip(range(10), range(0, 100, 10)))
def test_basic_set_get(self):
myarray = self.create_array()
pd = PointDataSource(myarray)
self.assertTrue(allclose(myarray,pd._data))
self.assert_(pd.value_dimension == "point")
return
def test_bounds(self):
myarray = self.create_array()
pd = PointDataSource(myarray)
self.assertEqual(pd.get_bounds(),((0,0), (9,90)))
return
if __name__ == '__main__':
import nose
nose.run()
|