| Current File : //usr/lib64/python2.7/site-packages/numpy/lib/tests/test_regression.py |
from numpy.testing import *
from numpy.testing.utils import _assert_valid_refcount
import numpy as np
rlevel = 1
class TestRegression(TestCase):
def test_poly1d(self,level=rlevel):
"""Ticket #28"""
assert_equal(np.poly1d([1]) - np.poly1d([1,0]),
np.poly1d([-1,1]))
def test_cov_parameters(self,level=rlevel):
"""Ticket #91"""
x = np.random.random((3,3))
y = x.copy()
np.cov(x, rowvar=1)
np.cov(y, rowvar=0)
assert_array_equal(x,y)
def test_mem_digitize(self,level=rlevel):
"""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,level=rlevel):
"""Ticket #205"""
assert_array_equal([], np.unique(np.array([])))
def test_mem_vectorise(self, level=rlevel):
"""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, level=rlevel):
"""Ticket #339"""
assert_array_equal(np.mgrid[0:0:1j],[0])
assert_array_equal(np.mgrid[0:0],[])
def test_refcount_vectorize(self, level=rlevel):
"""Ticket #378"""
def p(x,y): return 123
v = np.vectorize(p)
_assert_valid_refcount(v)
def test_poly1d_nan_roots(self, level=rlevel):
"""Ticket #396"""
p = np.poly1d([np.nan,np.nan,1], r=0)
self.assertRaises(np.linalg.LinAlgError,getattr,p,"r")
def test_mem_polymul(self, level=rlevel):
"""Ticket #448"""
np.polymul([],[1.])
def test_mem_string_concat(self, level=rlevel):
"""Ticket #469"""
x = np.array([])
np.append(x,'asdasd\tasdasd')
def test_poly_div(self, level=rlevel):
"""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, level=rlevel):
"""Ticket #554"""
x = np.poly1d([1,2,3])
y = np.poly1d([3,4])
assert_(x != y)
assert_(x == x)
def test_mem_insert(self, level=rlevel):
"""Ticket #572"""
np.lib.place(1,1,1)
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=np.complex)
q,r = np.polydiv(x,x)
assert_(q.dtype == np.complex, msg)
msg = "Wrong type, should be float"
x = np.ones(3, dtype=np.int)
q,r = np.polydiv(x,x)
assert_(q.dtype == np.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=np.complex)
assert_(np.polyint(x).dtype == np.complex, msg)
msg = "Wrong type, should be float"
x = np.ones(3, dtype=np.int)
assert_(np.polyint(x).dtype == np.float, msg)
def test_ndenumerate_crash(self):
"""Ticket 1140"""
# Shouldn't crash:
list(np.ndenumerate(np.array([[]])))
def test_asfarray_none(self, level=rlevel):
"""Test for changeset r5065"""
assert_array_equal(np.array([np.nan]), np.asfarray([None]))
def test_large_fancy_indexing(self, level=rlevel):
# 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)
g = a[np.ix_(i,i,i,i,i)]
self.assertRaises(ValueError, dp)
self.assertRaises(ValueError, dp2)
def test_void_coercion(self, level=rlevel):
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, level=rlevel) :
"""ticket #1243"""
import os, sys
oldstdout = sys.stdout
sys.stdout = open(os.devnull, 'w')
try:
try:
tmp = np.who({'foo' : np.array(1)})
except:
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 and
get_numarray_include include something reasonable. Somewhat
related to ticket #1405."""
include_dirs = [np.get_include(), np.get_numarray_include()]
for path in include_dirs:
assert_(isinstance(path, (str, unicode)))
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
F = False
base = np.array([1,2,3], dtype=np.int32)
data = np.eye(3).astype(np.int32)
names = ['a','b','c']
dlist = [np.float64, np.int32, np.int32]
try:
a = append_fields(base, names, data, dlist)
except:
raise AssertionError()
def test_loadtxt_fields_subarrays(self):
# For ticket #1936
from StringIO 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=np.bool)
try:
np.nansum(a)
except:
raise AssertionError()
if __name__ == "__main__":
run_module_suite()