def test_std_no_axis(self):
# 1d array.
np_1d = np.random.randn(10)
Assert.float_close(
spartan.std(spartan.from_numpy(np_1d)).glom(), np.std(np_1d))
# 2d array with auto-flattening.
np_2d = np.random.randn(10, 10)
Assert.float_close(
spartan.std(spartan.from_numpy(np_2d)).glom(), np.std(np_2d))
np_big = np.random.randn(17, 17)
Assert.float_close(
spartan.std(spartan.from_numpy(np_big)).glom(), np.std(np_big))
def test_std_no_axis(self):
# 1d array.
np_1d = np.random.randn(10)
Assert.float_close(
spartan.std(spartan.from_numpy(np_1d)).glom(),
np.std(np_1d))
# 2d array with auto-flattening.
np_2d = np.random.randn(10, 10)
Assert.float_close(
spartan.std(spartan.from_numpy(np_2d)).glom(),
np.std(np_2d))
np_big = np.random.randn(17, 17)
Assert.float_close(
spartan.std(spartan.from_numpy(np_big)).glom(),
np.std(np_big))
def test_std_with_axis(self):
np_2d = np.random.randn(10, 10)
sp_2d = spartan.from_numpy(np_2d)
Assert.all_close(spartan.std(sp_2d, 0).glom(), np.std(np_2d, 0))
Assert.all_close(spartan.std(sp_2d, 1).glom(), np.std(np_2d, 1))
np_uneven_0 = np.random.randn(15, 13)
sp_uneven_0 = spartan.from_numpy(np_uneven_0)
Assert.all_close(spartan.std(sp_uneven_0, 0).glom(), np.std(np_uneven_0, 0))
Assert.all_close(spartan.std(sp_uneven_0, 1).glom(), np.std(np_uneven_0, 1))
np_uneven_1 = np.random.randn(13, 15)
sp_uneven_1 = spartan.from_numpy(np_uneven_1)
Assert.all_close(spartan.std(sp_uneven_1, 0).glom(), np.std(np_uneven_1, 0))
Assert.all_close(spartan.std(sp_uneven_1, 1).glom(), np.std(np_uneven_1, 1))
np_big = np.random.randn(17, 17)
sp_big = spartan.from_numpy(np_big)
Assert.all_close(spartan.std(sp_big, 0).glom(), np.std(np_big, 0))
Assert.all_close(spartan.std(sp_big, 1).glom(), np.std(np_big, 1))
def test_std_with_axis(self):
np_2d = np.random.randn(10, 10)
sp_2d = spartan.from_numpy(np_2d)
Assert.all_close(spartan.std(sp_2d, 0).glom(), np.std(np_2d, 0))
Assert.all_close(spartan.std(sp_2d, 1).glom(), np.std(np_2d, 1))
np_uneven_0 = np.random.randn(15, 13)
sp_uneven_0 = spartan.from_numpy(np_uneven_0)
Assert.all_close(
spartan.std(sp_uneven_0, 0).glom(), np.std(np_uneven_0, 0))
Assert.all_close(
spartan.std(sp_uneven_0, 1).glom(), np.std(np_uneven_0, 1))
np_uneven_1 = np.random.randn(13, 15)
sp_uneven_1 = spartan.from_numpy(np_uneven_1)
Assert.all_close(
spartan.std(sp_uneven_1, 0).glom(), np.std(np_uneven_1, 0))
Assert.all_close(
spartan.std(sp_uneven_1, 1).glom(), np.std(np_uneven_1, 1))
np_big = np.random.randn(17, 17)
sp_big = spartan.from_numpy(np_big)
Assert.all_close(spartan.std(sp_big, 0).glom(), np.std(np_big, 0))
Assert.all_close(spartan.std(sp_big, 1).glom(), np.std(np_big, 1))
