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src/p/y/pysit-0.5b3/pysit/modeling/hybrid_modeling.py   pysit(Download)
			temp_data_prod += np.dot(lindata_freq[nu].reshape(dhat[nu].shape).T, np.conj(dhat[nu]))
 
		print temp_data_prod.squeeze()
		print np.dot(m1_.T, np.conj(adjmodel_freq)).squeeze()*np.prod(m.deltas)
		print np.dot(m1_.T, np.conj(adjmodel_freq)).squeeze()*np.prod(m.deltas) - temp_data_prod.squeeze()

src/p/y/pysit-0.5b3/pysit/modeling/frequency_modeling.py   pysit(Download)
		temp_data_prod += np.dot(lindata[nu].reshape(data[nu].shape).T, np.conj(data[nu]))
 
	print temp_data_prod.squeeze()
	print np.dot(m1.T, np.conj(adjmodel)).squeeze()*np.prod(m.deltas)
	print np.dot(m1.T, np.conj(adjmodel)).squeeze()*np.prod(m.deltas) - temp_data_prod.squeeze()

src/b/a/Barak-0.3.2/barak/coord.py   Barak(Download)
        d2[i,:] = ((xyz1[i,:] - xyz2)**2).sum(axis=1)
 
    d2 = d2.squeeze()
    if len(d2.shape) == 0:
        d2 = float(d2)

src/p/y/pysimulators-0.8.dev26-g93d2e/test/test_operators.py   pysimulators(Download)
    w = w * 1.e-6
    flux = bb(w, T) / bb(100e-6, T)
    ops = [BlackBodyOperator(T.squeeze(), wavelength=wave[0],
                             wavelength0=100e-6)
           for wave in w]