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- 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()
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