pruned venvs

2019-03-12 21:57:16 +01:00
parent 33f0511081
commit e441f4f7f7
5988 changed files with 0 additions and 1353666 deletions
@@ -1,46 +0,0 @@
-from __future__ import division, print_function, absolute_import
-
-import numpy as np
-import scipy.stats
-from scipy.special import i0
-
-
-def von_mises_cdf_series(k,x,p):
-    x = float(x)
-    s = np.sin(x)
-    c = np.cos(x)
-    sn = np.sin(p*x)
-    cn = np.cos(p*x)
-    R = 0
-    V = 0
-    for n in range(p-1,0,-1):
-        sn, cn = sn*c - cn*s, cn*c + sn*s
-        R = 1./(2*n/k + R)
-        V = R*(sn/n+V)
-
-    return 0.5+x/(2*np.pi) + V/np.pi
-
-
-def von_mises_cdf_normalapprox(k, x):
-    b = np.sqrt(2/np.pi)*np.exp(k)/i0(k)
-    z = b*np.sin(x/2.)
-    return scipy.stats.norm.cdf(z)
-
-
-def von_mises_cdf(k,x):
-    ix = 2*np.pi*np.round(x/(2*np.pi))
-    x = x-ix
-    k = float(k)
-
-    # These values should give 12 decimal digits
-    CK = 50
-    a = [28., 0.5, 100., 5.0]
-
-    if k < CK:
-        p = int(np.ceil(a[0]+a[1]*k-a[2]/(k+a[3])))
-
-        F = np.clip(von_mises_cdf_series(k,x,p),0,1)
-    else:
-        F = von_mises_cdf_normalapprox(k, x)
-
-    return F+ix