def test_2D_integers_array(self):
sample_integers = '1,2\n 3,4'
sample_integers_as_floats = '1, 2.0\n 4, 4'
sample_bad_integers_2D = 'one, two \n three, four'
self.assertEqual(convert(sample_integers), [[1, 2], [3, 4]])
self.assertEqual(convert(sample_integers_as_floats), [[1, 2], [4, 4]])
self.assertIsNone(convert(sample_bad_integers_2D))
def test_2D_integers_array(self):
sample_integers = '1,2\n 3,4'
sample_integers_as_floats = '1, 2.0\n 4, 4'
sample_bad_integers_2D = 'one, two \n three, four'
self.assertEqual(convert(sample_integers),[[1, 2], [3, 4]])
self.assertEqual(convert(sample_integers_as_floats), [[1, 2], [4, 4]])
self.assertIsNone(convert(sample_bad_integers_2D))
def test_2D_floats_array(self):
simple_floats = '1.0,2.4,\n 3.3, 5.5'
floats_with_error = '1.0, this \n 3, 4'
t1 = np.linalg.norm(np.array(convert(simple_floats))-np.array([1.0, 2.4, 3.3, 5.5]))
self.assertLess(t1, 1.0e-14)
self.assertEqual(convert(floats_with_error), [[1.0, np.nan], [3.0, 4.0]])
def test_1D_integers_array(self):
sample_integers = '1,2,3,4'
sample_integers_empty = ''
sample_integers_exclude_floats = '1,2.5,3'
sample_integers_as_floats = '1.0,2.0,3.0'
self.assertEqual(convert(sample_integers), [1, 2, 3, 4])
self.assertIsNone(convert(sample_integers_empty))
self.assertEqual(convert(sample_integers_exclude_floats), [1, 3])
self.assertEqual(convert(sample_integers_as_floats), [1,2,3])
def test_single_float(self):
sflt = '3.0'
sflt1 = '1.2e+3'
bad_flt = 'This is not a float'
negative_flt = '-1.2e+5'
self.assertIsNone(convert(bad_flt))
self.assertEqual(convert(sflt), 3.0)
self.assertEqual(convert(sflt1), 1.2e+3)
self.assertEqual(convert(negative_flt), -1.2e+5)
def test_single_int(self):
sint = '3'
sint_like_float = '4.0'
bad_int = 'this is not an int'
nint = '-9'
self.assertEqual(convert(sint), 3)
self.assertEqual(convert(sint_like_float), 4)
self.assertIsNone(convert(bad_int))
self.assertEqual(convert(nint), -9)
def test_2D_floats_array(self):
simple_floats = '1.0,2.4,\n 3.3, 5.5'
floats_with_error = '1.0, this \n 3, 4'
t1 = np.linalg.norm(
np.array(convert(simple_floats)) - np.array([1.0, 2.4, 3.3, 5.5]))
self.assertLess(t1, 1.0e-14)
self.assertEqual(convert(floats_with_error),
[[1.0, np.nan], [3.0, 4.0]])
def test_1D_integers_array(self):
sample_integers = '1,2,3,4'
sample_integers_empty = ''
sample_integers_exclude_floats = '1,2.5,3'
sample_integers_as_floats = '1.0,2.0,3.0'
self.assertEqual(convert(sample_integers), [1, 2, 3, 4])
self.assertIsNone(convert(sample_integers_empty))
self.assertEqual(convert(sample_integers_exclude_floats), [1, 3])
self.assertEqual(convert(sample_integers_as_floats), [1, 2, 3])
def test_single_float(self):
sflt = '3.0'
sflt1 = '1.2e+3'
bad_flt = 'This is not a float'
negative_flt = '-1.2e+5'
self.assertIsNone(convert(bad_flt))
self.assertEqual(convert(sflt), 3.0)
self.assertEqual(convert(sflt1), 1.2e+3)
self.assertEqual(convert(negative_flt), -1.2e+5)
def test_single_int(self):
sint = '3'
sint_like_float = '4.0'
bad_int = 'this is not an int'
nint = '-9'
self.assertEqual(convert(sint), 3)
self.assertEqual(convert(sint_like_float), 4)
self.assertIsNone(convert(bad_int))
self.assertEqual(convert(nint), -9)
def test_1D_floats_array(self):
sample_floats = '1.1,2.2,3,4'
sample_floats_with_empty = '1,2,,3,4'
sample_floats_with_error = 'd, 1, 2.5'
sample_floats_empty = ''
t1 = np.linalg.norm(np.array(convert(sample_floats)) - np.array([1.1, 2.2, 3, 4]))
self.assertLess(t1, 1.0e-14)
t2 = np.linalg.norm(np.array(convert(sample_floats_with_empty)) - np.array([1, 2, 3, 4]))
self.assertLess(t2, 1.0e-14)
t3 = np.linalg.norm(np.array(convert(sample_floats_with_error)) - np.array([1, 2.5]))
self.assertLess(t3, 1.0e-14)
t4 = convert(sample_floats_empty)
self.assertEqual(t4, list())
def test_1D_floats_array(self):
sample_floats = '1.1,2.2,3,4'
sample_floats_with_empty = '1,2,,3,4'
sample_floats_with_error = 'd, 1, 2.5'
sample_floats_empty = ''
t1 = np.linalg.norm(
np.array(convert(sample_floats)) - np.array([1.1, 2.2, 3, 4]))
self.assertLess(t1, 1.0e-14)
t2 = np.linalg.norm(
np.array(convert(sample_floats_with_empty)) -
np.array([1, 2, 3, 4]))
self.assertLess(t2, 1.0e-14)
t3 = np.linalg.norm(
np.array(convert(sample_floats_with_error)) - np.array([1, 2.5]))
self.assertLess(t3, 1.0e-14)
t4 = convert(sample_floats_empty)
self.assertEqual(t4, list())
