Python scipy.special.ellipj() Examples
The following are 16
code examples of scipy.special.ellipj().
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Example #1
Source File: test_mpmath.py From GraphicDesignPatternByPython with MIT License | 6 votes |
def test_cospi_zeros(): eps = np.finfo(float).eps dx = np.r_[-np.logspace(0, -13, 3), 0, np.logspace(-13, 0, 3)] dy = dx.copy() dx, dy = np.meshgrid(dx, dy) dz = dx + 1j*dy zeros = (np.arange(-100, 100, 1) + 0.5).reshape(1, 1, -1) z = (zeros + np.dstack((dz,)*zeros.size)).flatten() dataset = [] for z0 in z: dataset.append((z0, complex(mpmath.cospi(z0)))) dataset = np.array(dataset) FuncData(_cospi, dataset, 0, 1, rtol=2*eps).check() # ------------------------------------------------------------------------------ # ellipj # ------------------------------------------------------------------------------
Example #2
Source File: filter_design.py From lambda-packs with MIT License | 5 votes |
def _vratio(u, ineps, mp): [s, c, d, phi] = special.ellipj(u, mp) ret = abs(ineps - s / c) return ret
Example #3
Source File: filter_design.py From Computable with MIT License | 5 votes |
def _vratio(u, ineps, mp): [s, c, d, phi] = special.ellipj(u, mp) ret = abs(ineps - s / c) return ret
Example #4
Source File: test_basic.py From Computable with MIT License | 5 votes |
def test_ellipj(self): cephes.ellipj(0,1)
Example #5
Source File: test_basic.py From Computable with MIT License | 5 votes |
def test_ellipj_nan(self): """Regression test for #912.""" special.ellipj(0.5, np.nan)
Example #6
Source File: test_basic.py From Computable with MIT License | 5 votes |
def test_ellipj(self): el = special.ellipj(0.2,0) rel = [sin(0.2),cos(0.2),1.0,0.20] assert_array_almost_equal(el,rel,13)
Example #7
Source File: test_mpmath.py From Computable with MIT License | 5 votes |
def test_ellipfun_sn(self): # Oscillating function --- limit range of first argument; the # loss of precision there is an expected numerical feature # rather than an actual bug assert_mpmath_equal(lambda u, m: sc.ellipj(u, m)[0], lambda u, m: mpmath.ellipfun("sn", u=u, m=m), [Arg(-1e6, 1e6), Arg(a=0, b=1)], atol=1e-20)
Example #8
Source File: test_mpmath.py From Computable with MIT License | 5 votes |
def test_ellipfun_dn(self): # see comment in ellipfun_sn assert_mpmath_equal(lambda u, m: sc.ellipj(u, m)[2], lambda u, m: mpmath.ellipfun("dn", u=u, m=m), [Arg(-1e6, 1e6), Arg(a=0, b=1)], atol=1e-20)
Example #9
Source File: filter_design.py From GraphicDesignPatternByPython with MIT License | 5 votes |
def _vratio(u, ineps, mp): [s, c, d, phi] = special.ellipj(u, mp) ret = abs(ineps - s / c) return ret
Example #10
Source File: test_basic.py From GraphicDesignPatternByPython with MIT License | 5 votes |
def test_ellipj(self): cephes.ellipj(0,1)
Example #11
Source File: test_basic.py From GraphicDesignPatternByPython with MIT License | 5 votes |
def test_ellipj_nan(self): """Regression test for #912.""" special.ellipj(0.5, np.nan)
Example #12
Source File: test_basic.py From GraphicDesignPatternByPython with MIT License | 5 votes |
def test_ellipj(self): el = special.ellipj(0.2,0) rel = [sin(0.2),cos(0.2),1.0,0.20] assert_array_almost_equal(el,rel,13)
Example #13
Source File: test_mpmath.py From GraphicDesignPatternByPython with MIT License | 5 votes |
def test_ellipfun_sn(self): def sn(u, m): # mpmath doesn't get the zero at u = 0--fix that if u == 0: return 0 else: return mpmath.ellipfun("sn", u=u, m=m) # Oscillating function --- limit range of first argument; the # loss of precision there is an expected numerical feature # rather than an actual bug assert_mpmath_equal(lambda u, m: sc.ellipj(u, m)[0], sn, [Arg(-1e6, 1e6), Arg(a=0, b=1)], rtol=1e-8)
Example #14
Source File: test_mpmath.py From GraphicDesignPatternByPython with MIT License | 5 votes |
def test_ellipfun_cn(self): # see comment in ellipfun_sn assert_mpmath_equal(lambda u, m: sc.ellipj(u, m)[1], lambda u, m: mpmath.ellipfun("cn", u=u, m=m), [Arg(-1e6, 1e6), Arg(a=0, b=1)], rtol=1e-8)
Example #15
Source File: test_mpmath.py From GraphicDesignPatternByPython with MIT License | 5 votes |
def test_ellipfun_dn(self): # see comment in ellipfun_sn assert_mpmath_equal(lambda u, m: sc.ellipj(u, m)[2], lambda u, m: mpmath.ellipfun("dn", u=u, m=m), [Arg(-1e6, 1e6), Arg(a=0, b=1)], rtol=1e-8)
Example #16
Source File: filter_design.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
def _vratio(u, ineps, mp): [s, c, d, phi] = special.ellipj(u, mp) ret = abs(ineps - s / c) return ret