def testDiag(self):
a = numpy.array([1, 2, 3])
X = sppy.diag(a)
self.assertEquals(X.getnnz(), 3)
self.assertEquals(X[0, 0], 1)
self.assertEquals(X[1, 1], 2)
self.assertEquals(X[2, 2], 3)
def testDiag(self):
a = numpy.array([1, 2, 3])
X = sppy.diag(a)
self.assertEquals(X.getnnz(), 3)
self.assertEquals(X[0, 0], 1)
self.assertEquals(X[1, 1], 2)
self.assertEquals(X[2, 2], 3)
def writeAuthorAuthorMatrix(authorXFileName, authorAuthorFileName, sigma=0.05):
if not os.path.isfile(authorAuthorFileName):
Y = sppy.io.mmread(authorXFileName, storagetype="row")
logging.debug("Read file: " + authorXFileName)
logging.debug("Size of input: " + str(Y.shape) + " with " + str(Y.nnz) + " nonzeros")
Y = sppy.csarray(Y, dtype=numpy.float, storagetype="row")
#Y = Y[0:1000, :]
invNorms = 1/numpy.sqrt((Y.power(2).sum(1)))
Z = sppy.diag(invNorms, storagetype="row")
Y = Z.dot(Y)
blocksize = 500
numBlocks = int(ceil(Y.shape[0]/float(blocksize)))
logging.debug("Number of blocks " + str(numBlocks))
allRowInds = numpy.array([], numpy.int32)
allColInds = numpy.array([], numpy.int32)
allValues = numpy.array([], numpy.float)
for i in range(numBlocks):
logging.debug("Iteration: " + str(i))
endInd = min(Y.shape[0], (i+1)*blocksize)
tempY = Y.submatrix(i*blocksize, 0, endInd-i*blocksize, Y.shape[1])
tempC = tempY.dot(Y.T)
tempC = tempC.clip(sigma, 1.0)
rowInds, colInds = tempC.nonzero()
rowInds += i*blocksize
values = tempC.values()
allRowInds = numpy.r_[allRowInds, rowInds]
allColInds = numpy.r_[allColInds, colInds]
allValues = numpy.r_[allValues, values]
logging.debug(allValues.shape)
coords = numpy.c_[allRowInds+1, allColInds+1, allValues]
comment = "%%MatrixMarket matrix coordinate real general\n"
comment += "%\n"
comment += str(Y.shape[0]) + " " + str(Y.shape[0]) + " " + str(allRowInds.shape[0])
numpy.savetxt(authorAuthorFileName, coords, delimiter=" ", header=comment, comments="", fmt="%d %d %f")
logging.debug("Saved matrix to " + authorAuthorFileName)
logging.debug("Final size of C " + str(Y.shape[0]) + " with " + str(allRowInds.shape[0]) + " nonzeros")
else:
logging.debug("File exists: " + authorAuthorFileName)
def testDiag(self):
n = 5
a = numpy.random.rand(n)
A = sppy.diag(a)
b = A.diag()
for i in range(n):
self.assertEquals(A[i,i], a[i])
self.assertEquals(A.nnz, n)
nptst.assert_array_almost_equal(a, b)
