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EDIT :: test_polyutils.py

"""Tests for polyutils module. """ import numpy as np import numpy.polynomial.polyutils as pu from numpy.testing import ( assert_almost_equal, assert_raises, assert_equal, assert_, ) class TestMisc: def test_trimseq(self): for i in range(5): tgt = [1] res = pu.trimseq([1] + [0]*5) assert_equal(res, tgt) def test_as_series(self): # check exceptions assert_raises(ValueError, pu.as_series, [[]]) assert_raises(ValueError, pu.as_series, [[[1, 2]]]) assert_raises(ValueError, pu.as_series, [[1], ['a']]) # check common types types = ['i', 'd', 'O'] for i in range(len(types)): for j in range(i): ci = np.ones(1, types[i]) cj = np.ones(1, types[j]) [resi, resj] = pu.as_series([ci, cj]) assert_(resi.dtype.char == resj.dtype.char) assert_(resj.dtype.char == types[i]) def test_trimcoef(self): coef = [2, -1, 1, 0] # Test exceptions assert_raises(ValueError, pu.trimcoef, coef, -1) # Test results assert_equal(pu.trimcoef(coef), coef[:-1]) assert_equal(pu.trimcoef(coef, 1), coef[:-3]) assert_equal(pu.trimcoef(coef, 2), [0]) def test_vander_nd_exception(self): # n_dims != len(points) assert_raises(ValueError, pu._vander_nd, (), (1, 2, 3), [90]) # n_dims != len(degrees) assert_raises(ValueError, pu._vander_nd, (), (), [90.65]) # n_dims == 0 assert_raises(ValueError, pu._vander_nd, (), (), []) def test_div_zerodiv(self): # c2[-1] == 0 assert_raises(ZeroDivisionError, pu._div, pu._div, (1, 2, 3), [0]) def test_pow_too_large(self): # power > maxpower assert_raises(ValueError, pu._pow, (), [1, 2, 3], 5, 4) class TestDomain: def test_getdomain(self): # test for real values x = [1, 10, 3, -1] tgt = [-1, 10] res = pu.getdomain(x) assert_almost_equal(res, tgt) # test for complex values x = [1 + 1j, 1 - 1j, 0, 2] tgt = [-1j, 2 + 1j] res = pu.getdomain(x) assert_almost_equal(res, tgt) def test_mapdomain(self): # test for real values dom1 = [0, 4] dom2 = [1, 3] tgt = dom2 res = pu.mapdomain(dom1, dom1, dom2) assert_almost_equal(res, tgt) # test for complex values dom1 = [0 - 1j, 2 + 1j] dom2 = [-2, 2] tgt = dom2 x = dom1 res = pu.mapdomain(x, dom1, dom2) assert_almost_equal(res, tgt) # test for multidimensional arrays dom1 = [0, 4] dom2 = [1, 3] tgt = np.array([dom2, dom2]) x = np.array([dom1, dom1]) res = pu.mapdomain(x, dom1, dom2) assert_almost_equal(res, tgt) # test that subtypes are preserved. class MyNDArray(np.ndarray): pass dom1 = [0, 4] dom2 = [1, 3] x = np.array([dom1, dom1]).view(MyNDArray) res = pu.mapdomain(x, dom1, dom2) assert_(isinstance(res, MyNDArray)) def test_mapparms(self): # test for real values dom1 = [0, 4] dom2 = [1, 3] tgt = [1, .5] res = pu. mapparms(dom1, dom2) assert_almost_equal(res, tgt) # test for complex values dom1 = [0 - 1j, 2 + 1j] dom2 = [-2, 2] tgt = [-1 + 1j, 1 - 1j] res = pu.mapparms(dom1, dom2) assert_almost_equal(res, tgt)

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