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,
)
import pytest
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_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_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()