name : test_regression.py 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()