def test_convert(self) -> None:
arr = np.random.rand(10, 5)
t = Table.from_array(arr)
self.assertIsNotNone(t)
self.assertEqual(len(t.columns), arr.shape[1])
self.assertEqual(t.columns, ["_1", "_2", "_3", "_4", "_5"])
arr2 = t.to_array()
self.assertTrue(np.allclose(arr, arr2))
columns = ["a", "b", "c"]
t = Table.from_array(arr, columns=columns, offsets=[0, 1, 3, 5])
self.assertIsNotNone(t)
self.assertEqual(len(t.columns), 3)
self.assertEqual(t.columns, columns)
def test_convert(self):
arr = np.random.rand(10,5)
t = Table.from_array(arr)
self.assertIsNotNone(t)
self.assertEqual(len(t.columns), arr.shape[1])
self.assertEqual(t.columns, ['_1', '_2', '_3', '_4', '_5'])
arr2 = t.to_array()
self.assertTrue(np.allclose(arr, arr2))
columns=['a', 'b', 'c']
t = Table.from_array(arr, columns=columns, offsets=[0, 1, 3, 5])
self.assertIsNotNone(t)
self.assertEqual(len(t.columns), 3)
self.assertEqual(t.columns, columns)
