Initial Cleanup of Code.

No major changes. (duplicate code, and python conventions)
This commit is contained in:
Rowan Cockett
2013-06-11 16:18:15 +02:00
parent 2554318427
commit 1251440021
9 changed files with 436 additions and 465 deletions
+59 -49
View File
@@ -1,67 +1,77 @@
from scipy.sparse import linalg
from scipy import sparse
from numpy import *
#======== Define 1D derivatives =============
def ddx(n):
return sparse.spdiags(-ones(n),0,n,n+1) + sparse.spdiags(ones(n+1),1,n,n+1)
"""Define 1D derivatives"""
# ddx = lambda n: sparse.spdiags((np.ones((n+1, 1))*[-1, 1]).T, [0, 1], n, n+1, format='csr')
return sparse.spdiags(-ones(n), 0, n, n+1) + sparse.spdiags(ones(n+1), 1, n, n+1)
#======== Define 1D average =============
def av(n):
return 0.5*(sparse.spdiags(ones(n+1),0,n,n+1) + sparse.spdiags(ones(n+1),1,n,n+1))
"""Define 1D average"""
return 0.5*(sparse.spdiags(ones(n+1), 0, n, n+1) + sparse.spdiags(ones(n+1), 1, n, n+1))
#======== Diagonal matrix =============
def sdiag(h):
return sparse.spdiags(h,0,size(h),size(h))
"""Diagonal matrix"""
return sparse.spdiags(h, 0, size(h), size(h))
#======== sparse identity =============
def speye(n):
return sparse.spdiags(ones(n),0,n,n)
"""sparse identity"""
return sparse.spdiags(ones(n), 0, n, n)
#======== two kron prods =============
def kron3(A,B,C):
return sparse.kron(sparse.kron(A,B),C)
#======== append on bottom =============
def appendBottom(A,B):
C = sparse.vstack((A,B))
C = C.tocsr()
return C
#======== append on bottom =============
def appendBottom3(A,B,C):
C = appendBottom(appendBottom(A,B),C)
C = C.tocsr()
return C
#======== append on right =============
def appendRight(A,B):
C = sparse.hstack((A,B))
C = C.tocsr()
return C
def kron3(A, B, C):
"""two kron prods"""
return sparse.kron(sparse.kron(A, B), C)
#======== append on right =============
def appendRight3(A,B,C):
C = appendRight(appendRight(A,B),C)
C = C.tocsr()
return C
#======== blockdigonal =============
def blkDiag(A,B):
O12 = sparse.coo_matrix((shape(A)[0],shape(B)[1]))
O21 = sparse.coo_matrix((shape(B)[0],shape(A)[1]))
C = sparse.vstack((sparse.hstack((A,O12)),sparse.hstack((O21,B))))
def appendBottom(A, B):
"""append on bottom"""
C = sparse.vstack((A, B))
C = C.tocsr()
return C
#======== blockdigonal 3 =============
def blkDiag3(A,B,C):
ABC = blkDiag(blkDiag(A,B),C)
return C
def appendBottom3(A, B, C):
"""append on bottom"""
C = appendBottom(appendBottom(A, B), C)
C = C.tocsr()
return C
def appendRight(A, B):
"""append on right"""
C = sparse.hstack((A, B))
C = C.tocsr()
return C
def appendRight3(A, B, C):
"""append on right"""
C = appendRight(appendRight(A, B), C)
C = C.tocsr()
return C
def blkDiag(A, B):
"""blockdigonal"""
O12 = sparse.coo_matrix((shape(A)[0], shape(B)[1]))
O21 = sparse.coo_matrix((shape(B)[0], shape(A)[1]))
C = sparse.vstack((sparse.hstack((A, O12)), sparse.hstack((O21, B))))
C = C.tocsr()
return C
def blkDiag3(A, B, C):
"""blockdigonal 3"""
ABC = blkDiag(blkDiag(A, B), C)
ABC = ABC.tocsr()
return ABC
#======== spzeros =============
def spzeros(n1,n2):
return sparse.coo_matrix((n1,n2))
def spzeros(n1, n2):
"""spzeros"""
return sparse.coo_matrix((n1, n2))