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📁 data
📄 test__datasource.py(10.2 KB)
📄 test__datasource.pyc(16.97 KB)
📄 test__datasource.pyo(16.97 KB)
📄 test__iotools.py(13.69 KB)
📄 test__iotools.pyc(15.05 KB)
📄 test__iotools.pyo(15.05 KB)
📄 test__version.py(2.08 KB)
📄 test__version.pyc(3.5 KB)
📄 test__version.pyo(3.5 KB)
📄 test_arraypad.py(41.65 KB)
📄 test_arraypad.pyc(58.01 KB)
📄 test_arraypad.pyo(58.01 KB)
📄 test_arraysetops.py(9.85 KB)
📄 test_arraysetops.pyc(10.03 KB)
📄 test_arraysetops.pyo(10.03 KB)
📄 test_arrayterator.py(1.42 KB)
📄 test_arrayterator.pyc(2.07 KB)
📄 test_arrayterator.pyo(2.07 KB)
📄 test_financial.py(6.45 KB)
📄 test_financial.pyc(7.34 KB)
📄 test_financial.pyo(7.34 KB)
📄 test_format.py(33.43 KB)
📄 test_format.pyc(16.93 KB)
📄 test_format.pyo(16.93 KB)
📄 test_function_base.py(106.45 KB)
📄 test_function_base.pyc(133.6 KB)
📄 test_function_base.pyo(133.6 KB)
📄 test_index_tricks.py(11.19 KB)
📄 test_index_tricks.pyc(15.3 KB)
📄 test_index_tricks.pyo(15.3 KB)
📄 test_io.py(70.42 KB)
📄 test_io.pyc(83.74 KB)
📄 test_io.pyo(83.74 KB)
📄 test_nanfunctions.py(27.57 KB)
📄 test_nanfunctions.pyc(32.92 KB)
📄 test_nanfunctions.pyo(32.92 KB)
📄 test_packbits.py(951 B)
📄 test_packbits.pyc(1.49 KB)
📄 test_packbits.pyo(1.49 KB)
📄 test_polynomial.py(4.97 KB)
📄 test_polynomial.pyc(5.45 KB)
📄 test_polynomial.pyo(5.45 KB)
📄 test_recfunctions.py(29.91 KB)
📄 test_recfunctions.pyc(36.29 KB)
📄 test_recfunctions.pyo(36.29 KB)
📄 test_regression.py(8.62 KB)
📄 test_regression.pyc(13.85 KB)
📄 test_regression.pyo(13.85 KB)
📄 test_shape_base.py(12.42 KB)
📄 test_shape_base.pyc(18.8 KB)
📄 test_shape_base.pyo(18.8 KB)
📄 test_stride_tricks.py(13.87 KB)
📄 test_stride_tricks.pyc(16.21 KB)
📄 test_stride_tricks.pyo(16.21 KB)
📄 test_twodim_base.py(17.57 KB)
📄 test_twodim_base.pyc(21.95 KB)
📄 test_twodim_base.pyo(21.95 KB)
📄 test_type_check.py(10.01 KB)
📄 test_type_check.pyc(20.16 KB)
📄 test_type_check.pyo(20.16 KB)
📄 test_ufunclike.py(1.98 KB)
📄 test_ufunclike.pyc(3.55 KB)
📄 test_ufunclike.pyo(3.55 KB)
📄 test_utils.py(1.43 KB)
📄 test_utils.pyc(3.2 KB)
📄 test_utils.pyo(3.2 KB)

Editing: test_polynomial.py

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_))
        p = np.poly([Decimal(1), Decimal(2)])
        assert_equal(np.poly([Decimal(1), Decimal(2)]),
                     [1, Decimal(-3), Decimal(2)])

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

def test_poly_int_overflow(self):
        """
        Regression test for gh-5096.
        """
        v = np.arange(1, 21)
        assert_almost_equal(np.poly(v), np.poly(np.diag(v)))

if __name__ == "__main__":
    run_module_suite()

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