diff DEPENDENCIES/mingw32/Python27/Lib/site-packages/numpy/lib/tests/test_polynomial.py @ 87:2a2c65a20a8b

Add Python libs and headers

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/DEPENDENCIES/mingw32/Python27/Lib/site-packages/numpy/lib/tests/test_polynomial.py	Wed Feb 25 14:05:22 2015 +0000
@@ -0,0 +1,177 @@
+from __future__ import division, absolute_import, print_function
+
+'''
+>>> p = np.poly1d([1.,2,3])
+>>> p
+poly1d([ 1.,  2.,  3.])
+>>> print(p)
+   2
+1 x + 2 x + 3
+>>> q = np.poly1d([3.,2,1])
+>>> q
+poly1d([ 3.,  2.,  1.])
+>>> print(q)
+   2
+3 x + 2 x + 1
+>>> print(np.poly1d([1.89999+2j, -3j, -5.12345678, 2+1j]))
+            3      2
+(1.9 + 2j) x - 3j x - 5.123 x + (2 + 1j)
+>>> print(np.poly1d([-3, -2, -1]))
+    2
+-3 x - 2 x - 1
+
+>>> p(0)
+3.0
+>>> p(5)
+38.0
+>>> q(0)
+1.0
+>>> q(5)
+86.0
+
+>>> p * q
+poly1d([  3.,   8.,  14.,   8.,   3.])
+>>> p / q
+(poly1d([ 0.33333333]), poly1d([ 1.33333333,  2.66666667]))
+>>> p + q
+poly1d([ 4.,  4.,  4.])
+>>> p - q
+poly1d([-2.,  0.,  2.])
+>>> p ** 4
+poly1d([   1.,    8.,   36.,  104.,  214.,  312.,  324.,  216.,   81.])
+
+>>> p(q)
+poly1d([  9.,  12.,  16.,   8.,   6.])
+>>> q(p)
+poly1d([  3.,  12.,  32.,  40.,  34.])
+
+>>> np.asarray(p)
+array([ 1.,  2.,  3.])
+>>> len(p)
+2
+
+>>> p[0], p[1], p[2], p[3]
+(3.0, 2.0, 1.0, 0)
+
+>>> p.integ()
+poly1d([ 0.33333333,  1.        ,  3.        ,  0.        ])
+>>> p.integ(1)
+poly1d([ 0.33333333,  1.        ,  3.        ,  0.        ])
+>>> p.integ(5)
+poly1d([ 0.00039683,  0.00277778,  0.025     ,  0.        ,  0.        ,
+        0.        ,  0.        ,  0.        ])
+>>> p.deriv()
+poly1d([ 2.,  2.])
+>>> p.deriv(2)
+poly1d([ 2.])
+
+>>> q = np.poly1d([1.,2,3], variable='y')
+>>> print(q)
+   2
+1 y + 2 y + 3
+>>> q = np.poly1d([1.,2,3], variable='lambda')
+>>> print(q)
+        2
+1 lambda + 2 lambda + 3
+
+>>> np.polydiv(np.poly1d([1,0,-1]), np.poly1d([1,1]))
+(poly1d([ 1., -1.]), poly1d([ 0.]))
+
+'''
+import numpy as np
+from numpy.testing import (
+    run_module_suite, TestCase, assert_, assert_equal, assert_array_equal,
+    assert_almost_equal, rundocs
+    )
+
+
+class TestDocs(TestCase):
+    def test_doctests(self):
+        return rundocs()
+
+    def test_roots(self):
+        assert_array_equal(np.roots([1, 0, 0]), [0, 0])
+
+    def test_str_leading_zeros(self):
+        p = np.poly1d([4, 3, 2, 1])
+        p[3] = 0
+        assert_equal(str(p),
+                     "   2\n"
+                     "3 x + 2 x + 1")
+
+        p = np.poly1d([1, 2])
+        p[0] = 0
+        p[1] = 0
+        assert_equal(str(p), " \n0")
+
+    def test_polyfit(self):
+        c = np.array([3., 2., 1.])
+        x = np.linspace(0, 2, 7)
+        y = np.polyval(c, x)
+        err = [1, -1, 1, -1, 1, -1, 1]
+        weights = np.arange(8, 1, -1)**2/7.0
+
+        # check 1D case
+        m, cov = np.polyfit(x, y+err, 2, cov=True)
+        est = [3.8571, 0.2857, 1.619]
+        assert_almost_equal(est, m, decimal=4)
+        val0 = [[2.9388, -5.8776, 1.6327],
+                [-5.8776, 12.7347, -4.2449],
+                [1.6327, -4.2449, 2.3220]]
+        assert_almost_equal(val0, cov, decimal=4)
+
+        m2, cov2 = np.polyfit(x, y+err, 2, w=weights, cov=True)
+        assert_almost_equal([4.8927, -1.0177, 1.7768], m2, decimal=4)
+        val = [[8.7929, -10.0103, 0.9756],
+               [-10.0103, 13.6134, -1.8178],
+               [0.9756, -1.8178, 0.6674]]
+        assert_almost_equal(val, cov2, decimal=4)
+
+        # check 2D (n,1) case
+        y = y[:, np.newaxis]
+        c = c[:, np.newaxis]
+        assert_almost_equal(c, np.polyfit(x, y, 2))
+        # check 2D (n,2) case
+        yy = np.concatenate((y, y), axis=1)
+        cc = np.concatenate((c, c), axis=1)
+        assert_almost_equal(cc, np.polyfit(x, yy, 2))
+
+        m, cov = np.polyfit(x, yy + np.array(err)[:, np.newaxis], 2, cov=True)
+        assert_almost_equal(est, m[:, 0], decimal=4)
+        assert_almost_equal(est, m[:, 1], decimal=4)
+        assert_almost_equal(val0, cov[:, :, 0], decimal=4)
+        assert_almost_equal(val0, cov[:, :, 1], decimal=4)
+
+    def test_objects(self):
+        from decimal import Decimal
+        p = np.poly1d([Decimal('4.0'), Decimal('3.0'), Decimal('2.0')])
+        p2 = p * Decimal('1.333333333333333')
+        assert_(p2[1] == Decimal("3.9999999999999990"))
+        p2 = p.deriv()
+        assert_(p2[1] == Decimal('8.0'))
+        p2 = p.integ()
+        assert_(p2[3] == Decimal("1.333333333333333333333333333"))
+        assert_(p2[2] == Decimal('1.5'))
+        assert_(np.issubdtype(p2.coeffs.dtype, np.object_))
+
+    def test_complex(self):
+        p = np.poly1d([3j, 2j, 1j])
+        p2 = p.integ()
+        assert_((p2.coeffs == [1j, 1j, 1j, 0]).all())
+        p2 = p.deriv()
+        assert_((p2.coeffs == [6j, 2j]).all())
+
+    def test_integ_coeffs(self):
+        p = np.poly1d([3, 2, 1])
+        p2 = p.integ(3, k=[9, 7, 6])
+        assert_(
+            (p2.coeffs == [1/4./5., 1/3./4., 1/2./3., 9/1./2., 7, 6]).all())
+
+    def test_zero_dims(self):
+        try:
+            np.poly(np.zeros((0, 0)))
+        except ValueError:
+            pass
+
+if __name__ == "__main__":
+    run_module_suite()