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spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.py File Reference
Namespaces
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib
Functions
def
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.load_centroid
(fn, ncluster)
def
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.pbc
(bin)
def
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.get_bb_bin_index
(bb)
def
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.show_bb_table
(bbtable)
def
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.ksr
(dx, kappa)
def
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.correct_pbc
(dat)
Variables
bool
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.draw
= False
main
More...
float
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.cutoff
= 1.6
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.restype
=
sys.argv
[1]
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.sigma
= float(
sys.argv
[2])
float
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.scale
= 2.0*sigma*sigma
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.ndata
= int(
sys.argv
[3])
string
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.inpfile
= "./split/" + restype + ".dat"
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.inp
= open(inpfile, '
r
')
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.lines
= inp.readlines()
list
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.xyzlist
= []
list
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.intlist
= []
list
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.bblist
= []
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.Nd
= len(lines)
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.prob
= float(ndata)/Nd
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.pr
= random()
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.dats
= line.split()
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.dis
= float(dats[0])
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.ang
= float(dats[1])
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.dih
= float(dats[2])
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.psi
= float(dats[3])
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.phi
= float(dats[4])
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.x
= dis*sin(ang)*cos(dih)
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.y
= dis*sin(ang)*sin(dih)
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.z
= dis*cos(ang)
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.data
= vstack(xyzlist)
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.save_data
=
data
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.Y
= sp.squareform(sp.pdist(
data
, 'sqeuclidean'))
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.A
= np.exp(-
Y
/scale)
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.D
=
np.zeros
([Nd, Nd])
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.D_inv_sqr
=
np.zeros
([Nd, Nd])
tuple
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.L
= ( D_inv_sqr.dot(
A
) ).dot( D_inv_sqr )
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.eig_vals
spectral_cluster_kmeans_adaptive_kernel_density_bb_dependent_rotlib.eig_vecs
= eig_vecs[eig_vals.argsort()]
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