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import pytest | |
import os | |
import numpy as np | |
from numpy.testing import ( | |
assert_, assert_equal, assert_array_equal, assert_array_almost_equal, | |
assert_raises, _assert_valid_refcount, | |
) | |
class TestRegression: | |
def test_poly1d(self): | |
# Ticket #28 | |
assert_equal(np.poly1d([1]) - np.poly1d([1, 0]), | |
np.poly1d([-1, 1])) | |
def test_cov_parameters(self): | |
# Ticket #91 | |
x = np.random.random((3, 3)) | |
y = x.copy() | |
np.cov(x, rowvar=True) | |
np.cov(y, rowvar=False) | |
assert_array_equal(x, y) | |
def test_mem_digitize(self): | |
# Ticket #95 | |
for i in range(100): | |
np.digitize([1, 2, 3, 4], [1, 3]) | |
np.digitize([0, 1, 2, 3, 4], [1, 3]) | |
def test_unique_zero_sized(self): | |
# Ticket #205 | |
assert_array_equal([], np.unique(np.array([]))) | |
def test_mem_vectorise(self): | |
# Ticket #325 | |
vt = np.vectorize(lambda *args: args) | |
vt(np.zeros((1, 2, 1)), np.zeros((2, 1, 1)), np.zeros((1, 1, 2))) | |
vt(np.zeros((1, 2, 1)), np.zeros((2, 1, 1)), np.zeros((1, | |
1, 2)), np.zeros((2, 2))) | |
def test_mgrid_single_element(self): | |
# Ticket #339 | |
assert_array_equal(np.mgrid[0:0:1j], [0]) | |
assert_array_equal(np.mgrid[0:0], []) | |
def test_refcount_vectorize(self): | |
# Ticket #378 | |
def p(x, y): | |
return 123 | |
v = np.vectorize(p) | |
_assert_valid_refcount(v) | |
def test_poly1d_nan_roots(self): | |
# Ticket #396 | |
p = np.poly1d([np.nan, np.nan, 1], r=False) | |
assert_raises(np.linalg.LinAlgError, getattr, p, "r") | |
def test_mem_polymul(self): | |
# Ticket #448 | |
np.polymul([], [1.]) | |
def test_mem_string_concat(self): | |
# Ticket #469 | |
x = np.array([]) | |
np.append(x, 'asdasd\tasdasd') | |
def test_poly_div(self): | |
# Ticket #553 | |
u = np.poly1d([1, 2, 3]) | |
v = np.poly1d([1, 2, 3, 4, 5]) | |
q, r = np.polydiv(u, v) | |
assert_equal(q*v + r, u) | |
def test_poly_eq(self): | |
# Ticket #554 | |
x = np.poly1d([1, 2, 3]) | |
y = np.poly1d([3, 4]) | |
assert_(x != y) | |
assert_(x == x) | |
def test_polyfit_build(self): | |
# Ticket #628 | |
ref = [-1.06123820e-06, 5.70886914e-04, -1.13822012e-01, | |
9.95368241e+00, -3.14526520e+02] | |
x = [90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, | |
104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, | |
116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 129, | |
130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, | |
146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, | |
158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, | |
170, 171, 172, 173, 174, 175, 176] | |
y = [9.0, 3.0, 7.0, 4.0, 4.0, 8.0, 6.0, 11.0, 9.0, 8.0, 11.0, 5.0, | |
6.0, 5.0, 9.0, 8.0, 6.0, 10.0, 6.0, 10.0, 7.0, 6.0, 6.0, 6.0, | |
13.0, 4.0, 9.0, 11.0, 4.0, 5.0, 8.0, 5.0, 7.0, 7.0, 6.0, 12.0, | |
7.0, 7.0, 9.0, 4.0, 12.0, 6.0, 6.0, 4.0, 3.0, 9.0, 8.0, 8.0, | |
6.0, 7.0, 9.0, 10.0, 6.0, 8.0, 4.0, 7.0, 7.0, 10.0, 8.0, 8.0, | |
6.0, 3.0, 8.0, 4.0, 5.0, 7.0, 8.0, 6.0, 6.0, 4.0, 12.0, 9.0, | |
8.0, 8.0, 8.0, 6.0, 7.0, 4.0, 4.0, 5.0, 7.0] | |
tested = np.polyfit(x, y, 4) | |
assert_array_almost_equal(ref, tested) | |
def test_polydiv_type(self): | |
# Make polydiv work for complex types | |
msg = "Wrong type, should be complex" | |
x = np.ones(3, dtype=complex) | |
q, r = np.polydiv(x, x) | |
assert_(q.dtype == complex, msg) | |
msg = "Wrong type, should be float" | |
x = np.ones(3, dtype=int) | |
q, r = np.polydiv(x, x) | |
assert_(q.dtype == float, msg) | |
def test_histogramdd_too_many_bins(self): | |
# Ticket 928. | |
assert_raises(ValueError, np.histogramdd, np.ones((1, 10)), bins=2**10) | |
def test_polyint_type(self): | |
# Ticket #944 | |
msg = "Wrong type, should be complex" | |
x = np.ones(3, dtype=complex) | |
assert_(np.polyint(x).dtype == complex, msg) | |
msg = "Wrong type, should be float" | |
x = np.ones(3, dtype=int) | |
assert_(np.polyint(x).dtype == float, msg) | |
def test_ndenumerate_crash(self): | |
# Ticket 1140 | |
# Shouldn't crash: | |
list(np.ndenumerate(np.array([[]]))) | |
def test_asfarray_none(self): | |
# Test for changeset r5065 | |
assert_array_equal(np.array([np.nan]), np.asfarray([None])) | |
def test_large_fancy_indexing(self): | |
# Large enough to fail on 64-bit. | |
nbits = np.dtype(np.intp).itemsize * 8 | |
thesize = int((2**nbits)**(1.0/5.0)+1) | |
def dp(): | |
n = 3 | |
a = np.ones((n,)*5) | |
i = np.random.randint(0, n, size=thesize) | |
a[np.ix_(i, i, i, i, i)] = 0 | |
def dp2(): | |
n = 3 | |
a = np.ones((n,)*5) | |
i = np.random.randint(0, n, size=thesize) | |
a[np.ix_(i, i, i, i, i)] | |
assert_raises(ValueError, dp) | |
assert_raises(ValueError, dp2) | |
def test_void_coercion(self): | |
dt = np.dtype([('a', 'f4'), ('b', 'i4')]) | |
x = np.zeros((1,), dt) | |
assert_(np.r_[x, x].dtype == dt) | |
def test_who_with_0dim_array(self): | |
# ticket #1243 | |
import os | |
import sys | |
oldstdout = sys.stdout | |
sys.stdout = open(os.devnull, 'w') | |
try: | |
try: | |
np.who({'foo': np.array(1)}) | |
except Exception: | |
raise AssertionError("ticket #1243") | |
finally: | |
sys.stdout.close() | |
sys.stdout = oldstdout | |
def test_include_dirs(self): | |
# As a sanity check, just test that get_include | |
# includes something reasonable. Somewhat | |
# related to ticket #1405. | |
include_dirs = [np.get_include()] | |
for path in include_dirs: | |
assert_(isinstance(path, str)) | |
assert_(path != '') | |
def test_polyder_return_type(self): | |
# Ticket #1249 | |
assert_(isinstance(np.polyder(np.poly1d([1]), 0), np.poly1d)) | |
assert_(isinstance(np.polyder([1], 0), np.ndarray)) | |
assert_(isinstance(np.polyder(np.poly1d([1]), 1), np.poly1d)) | |
assert_(isinstance(np.polyder([1], 1), np.ndarray)) | |
def test_append_fields_dtype_list(self): | |
# Ticket #1676 | |
from numpy.lib.recfunctions import append_fields | |
base = np.array([1, 2, 3], dtype=np.int32) | |
names = ['a', 'b', 'c'] | |
data = np.eye(3).astype(np.int32) | |
dlist = [np.float64, np.int32, np.int32] | |
try: | |
append_fields(base, names, data, dlist) | |
except Exception: | |
raise AssertionError() | |
def test_loadtxt_fields_subarrays(self): | |
# For ticket #1936 | |
from io import StringIO | |
dt = [("a", 'u1', 2), ("b", 'u1', 2)] | |
x = np.loadtxt(StringIO("0 1 2 3"), dtype=dt) | |
assert_equal(x, np.array([((0, 1), (2, 3))], dtype=dt)) | |
dt = [("a", [("a", 'u1', (1, 3)), ("b", 'u1')])] | |
x = np.loadtxt(StringIO("0 1 2 3"), dtype=dt) | |
assert_equal(x, np.array([(((0, 1, 2), 3),)], dtype=dt)) | |
dt = [("a", 'u1', (2, 2))] | |
x = np.loadtxt(StringIO("0 1 2 3"), dtype=dt) | |
assert_equal(x, np.array([(((0, 1), (2, 3)),)], dtype=dt)) | |
dt = [("a", 'u1', (2, 3, 2))] | |
x = np.loadtxt(StringIO("0 1 2 3 4 5 6 7 8 9 10 11"), dtype=dt) | |
data = [((((0, 1), (2, 3), (4, 5)), ((6, 7), (8, 9), (10, 11))),)] | |
assert_equal(x, np.array(data, dtype=dt)) | |
def test_nansum_with_boolean(self): | |
# gh-2978 | |
a = np.zeros(2, dtype=bool) | |
try: | |
np.nansum(a) | |
except Exception: | |
raise AssertionError() | |
def test_py3_compat(self): | |
# gh-2561 | |
# Test if the oldstyle class test is bypassed in python3 | |
class C(): | |
"""Old-style class in python2, normal class in python3""" | |
pass | |
out = open(os.devnull, 'w') | |
try: | |
np.info(C(), output=out) | |
except AttributeError: | |
raise AssertionError() | |
finally: | |
out.close() | |