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https://github.com/wassname/simpeg.git
synced 2026-06-29 03:04:53 +08:00
Improved ndgrid, and pushed unused utilities to EldadsCode folder.
ndgrid returns vectors in a matrix by default, but input kwarg of vector=False, and you can return the matrices.
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from numpy import *
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import numpy as np
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def diff(A, d):
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if(d == 1):
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return A[1:, :, :] - A[:-1, :, :]
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elif(d == 2):
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return A[:, 1:, :] - A[:, :-1, :]
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else:
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return A[:, :, 1:] - A[:, :, :-1]
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#else:
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# print('d must be 1,2 or 3')
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def diffp(A, d1, d2):
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if(d1 == 1 and d2 == 2):
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return A[1:, 1:, :] - A[:-1, :-1, :]
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elif(d1 == 1 and d2 == 3):
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return A[1:, :, 1:] - A[:-1, :, :-1]
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else:
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return A[:, 1:, 1:] - A[:, :-1, :-1]
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def diffm(A, d1, d2):
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if(d1 == 3 and d2 == 2):
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return A[:, :-1, 1:] - A[:, 1:, :-1]
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elif(d1 == 1 and d2 == 3):
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return A[1:, :, :-1] - A[:-1, :, 1:]
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elif(d1 == 2 and d2 == 1):
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return A[:-1, 1:, :] - A[1:, :-1, :]
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else:
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print('d must be 1, 2 or 3')
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def ave(A, d):
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if(d == 1):
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return 0.5*(A[1:, :, :] + A[:-1, :, :])
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elif(d == 2):
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return 0.5*(A[:, 1:, :] + A[:, :-1, :])
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elif(d == 3):
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return 0.5*(A[:, :, 1:] + A[:, :, :-1])
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else:
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print('d must be 1,2 or 3')
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def mkmat(x):
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return reshape(matrix(x), (size(x), 1), 'F')
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def hstack3(a, b, c):
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a = mkvc(a)
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b = mkvc(b)
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c = mkvc(c)
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a = mkmat(a)
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b = mkmat(b)
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c = mkmat(c)
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return hstack((hstack((a, b)), c))
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def ind2sub(shape, ind):
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"""From the given shape, returns the subscrips of the given index"""
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revshp = []
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revshp.extend(shape)
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mult = [1]
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for i in range(0, len(revshp)-1):
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mult.extend([mult[i]*revshp[i]])
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mult = array(mult).reshape(len(mult))
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sub = []
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for i in range(0, len(shape)):
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sub.extend([math.floor(ind / mult[i])])
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ind = ind - (math.floor(ind/mult[i]) * mult[i])
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return sub
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def sub2ind(shape, subs):
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"""From the given shape, returns the index of the given subscript"""
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revshp = list(shape)
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mult = [1]
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for i in range(0, len(revshp)-1):
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mult.extend([mult[i]*revshp[i]])
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mult = array(mult).reshape(len(mult), 1)
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idx = dot((subs), (mult))
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return idx
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