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