def test_invalid_dim_array(self):
try:
makes_duplicate = copy.copy(self.makes)
makes_duplicate[1] = makes_bad[0]
friendly = fm.ndarray(self.price_array,
['Make', 'Color', 'Size', 'Year'],
makes_duplicate, self.colors, self.sizes,
self.years)
self.assertTrue(False)
except:
self.assertTrue(True)
try:
makes_wrong_size = copy.copy(self.makes)
makes_wrong_size.append('C, Inc.')
friendly = fm.ndarray(self.price_array,
['Make', 'Color', 'Size', 'Year'],
makes_wrong_size, self.colors, self.sizes,
self.years)
self.assertTrue(False)
except:
self.assertTrue(True)
try:
# Extra dim array
friendly = fm.ndarray(self.price_array,
['Make', 'Color', 'Size', 'Year'],
self.makes, self.colors, self.sizes,
self.years, [])
self.assertTrue(False)
except:
self.assertTrue(True)
def setUp(self):
self.x1 = ['0', '1']
self.y1 = ['0', '1']
self.array1 = np.array([[0, 1], [2, 3]])
self.friendly1 = fm.ndarray(self.array1, ['x', 'y'], self.x1, self.y1)
self.x2 = ['2', '3']
self.y2 = ['2', '3']
self.array2 = np.array([[0.0, 0.1], [0.2, 0.3]])
self.friendly2 = fm.ndarray(self.array2, ['x', 'y'], self.x2, self.y2)
def test_invalid_array(self):
try:
price_array_wrong_size = self.price_array[1:]
friendly = fm.ndarray(price_array_wrong_size,
['Make', 'Color', 'Size', 'Year'],
self.makes, self.colors, self.sizes,
self.years)
self.assertTrue(False)
except:
self.assertTrue(True)
try:
price_array_wrong_ndim = self.price_array[0]
friendly = fm.ndarray(price_array_wrong_ndim,
['Make', 'Color', 'Size', 'Year'],
self.makes, self.colors, self.sizes,
self.years)
self.assertTrue(False)
except:
self.assertTrue(True)
def test_valid(self):
friendly = fm.ndarray(self.price_array,
['Make', 'Color', 'Size', 'Year'], self.makes,
self.colors, self.sizes, self.years)
self.assertEqual(friendly.shape, (2, 3, 2, 2))
self.assertEqual(friendly.ndim, 4)
self.assertEqual(friendly.dim_names, ['Make', 'Color', 'Size', 'Year'])
self.assertEqual(friendly.dim_arrays[0], self.makes)
self.assertEqual(friendly.dim_arrays[3], self.years)
self.assertTrue(np.all(friendly.array == self.price_array))
def setUp(self):
self.makes = ['A, Inc.', 'B, Inc.']
self.colors = ['red', 'blue', 'green']
self.sizes = ['small', 'big']
self.years = [2000, 2020]
self.golden_array = np.array(
[[[[0.0, 17.0], [0.0, 19.0]], [[0.0, 17.0], [0.0, 19.0]],
[[0.0, 17.0], [0.0, 19.0]]],
[[[9.0, 17.0], [11.0, 19.0]], [[0.0, 0.0], [0.0, 0.0]],
[[10.800000190734863, 18.0],
[12.600000381469727, 19.799999237060547]]]])
self.golden_friendly = fm.ndarray(self.golden_array,
['Make', 'Color', 'Size', 'Year'],
self.makes, self.colors, self.sizes,
self.years)
def setUp(self):
self.makes = ['A, Inc.', 'B, Inc.']
self.colors = ['red', 'blue', 'green']
self.sizes = ['small', 'big']
self.years = [2000, 2020]
self.array = np.array([[[[0, 1], [2, 3]], [[4, 5], [6, 7]],
[[8, 9], [10, 11]]],
[[[12, 13], [14, 15]], [[16, 17], [18, 19]],
[[20, 21], [22, 23]]]])
# Axis names are lowercase to support kwargs indexing
self.friendly = fm.ndarray(self.array,
['make', 'color', 'size', 'year'],
self.makes, self.colors, self.sizes,
self.years)
# Example formatted string does not contain dim names
self.friendly_formatted = open(os.path.join('tests',
'friendly_formatted.txt'),
encoding='utf-8').read()
def test_aggregate(self):
result = self.friendly1.mean(axis=0)
friendly_expected = fm.ndarray(self.array1.mean(axis=0), ['y'],
self.y1)
def test_flip(self):
result = fm.flip(self.friendly1)
friendly_expected = fm.ndarray(np.flip(self.array1), ['x', 'y'],
list(reversed(self.x1)),
list(reversed(self.y1)))
self.assertEqual(result, friendly_expected)
def test_moveaxis(self):
result = fm.moveaxis(self.friendly1, 'x', 'y')
friendly_expected = fm.ndarray(np.moveaxis(self.array1, 0, 1),
['y', 'x'], self.y1, self.x1)
self.assertEqual(result, friendly_expected)