83 lines
2.3 KiB
Python
83 lines
2.3 KiB
Python
"""Test of min-max 1D features of sparse array classes"""
|
|
|
|
import pytest
|
|
|
|
import numpy as np
|
|
|
|
from numpy.testing import assert_equal, assert_array_equal
|
|
|
|
from scipy.sparse import coo_array
|
|
from scipy.sparse._sputils import isscalarlike
|
|
|
|
|
|
def toarray(a):
|
|
if isinstance(a, np.ndarray) or isscalarlike(a):
|
|
return a
|
|
return a.toarray()
|
|
|
|
|
|
formats_for_minmax = [coo_array]
|
|
|
|
|
|
@pytest.mark.parametrize("spcreator", formats_for_minmax)
|
|
class Test_MinMaxMixin1D:
|
|
def test_minmax(self, spcreator):
|
|
D = np.arange(5)
|
|
X = spcreator(D)
|
|
|
|
assert_equal(X.min(), 0)
|
|
assert_equal(X.max(), 4)
|
|
assert_equal((-X).min(), -4)
|
|
assert_equal((-X).max(), 0)
|
|
|
|
|
|
def test_minmax_axis(self, spcreator):
|
|
D = np.arange(50)
|
|
X = spcreator(D)
|
|
|
|
for axis in [0, -1]:
|
|
assert_array_equal(
|
|
toarray(X.max(axis=axis)), D.max(axis=axis, keepdims=True)
|
|
)
|
|
assert_array_equal(
|
|
toarray(X.min(axis=axis)), D.min(axis=axis, keepdims=True)
|
|
)
|
|
for axis in [-2, 1]:
|
|
with pytest.raises(ValueError, match="axis out of range"):
|
|
X.min(axis=axis)
|
|
with pytest.raises(ValueError, match="axis out of range"):
|
|
X.max(axis=axis)
|
|
|
|
|
|
def test_numpy_minmax(self, spcreator):
|
|
dat = np.array([0, 1, 2])
|
|
datsp = spcreator(dat)
|
|
assert_array_equal(np.min(datsp), np.min(dat))
|
|
assert_array_equal(np.max(datsp), np.max(dat))
|
|
|
|
|
|
def test_argmax(self, spcreator):
|
|
D1 = np.array([-1, 5, 2, 3])
|
|
D2 = np.array([0, 0, -1, -2])
|
|
D3 = np.array([-1, -2, -3, -4])
|
|
D4 = np.array([1, 2, 3, 4])
|
|
D5 = np.array([1, 2, 0, 0])
|
|
|
|
for D in [D1, D2, D3, D4, D5]:
|
|
mat = spcreator(D)
|
|
|
|
assert_equal(mat.argmax(), np.argmax(D))
|
|
assert_equal(mat.argmin(), np.argmin(D))
|
|
|
|
assert_equal(mat.argmax(axis=0), np.argmax(D, axis=0))
|
|
assert_equal(mat.argmin(axis=0), np.argmin(D, axis=0))
|
|
|
|
D6 = np.empty((0,))
|
|
|
|
for axis in [None, 0]:
|
|
mat = spcreator(D6)
|
|
with pytest.raises(ValueError, match="to an empty matrix"):
|
|
mat.argmin(axis=axis)
|
|
with pytest.raises(ValueError, match="to an empty matrix"):
|
|
mat.argmax(axis=axis)
|