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https://github.com/triqs/dft_tools
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Replace numpy.lib.pad with numpy.pad
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@ -197,7 +197,7 @@ class ElkConverter(ConverterTools,Elk_tools,read_Elk):
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#extra array elements in each dimension
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#extra array elements in each dimension
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size=2*corr_shells[ish]['l']+1
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size=2*corr_shells[ish]['l']+1
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#extend the arrays
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#extend the arrays
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T[ish]=numpy.lib.pad(T[ish],((0,size),(0,size)),'constant',constant_values=(0.0))
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T[ish]=numpy.pad(T[ish],((0,size),(0,size)),'constant',constant_values=(0.0))
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#make block diagonal
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#make block diagonal
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T[ish][size:2*size,size:2*size]=T[ish][0:size,0:size]
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T[ish][size:2*size,size:2*size]=T[ish][0:size,0:size]
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#update the symmetries arrays if needed
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#update the symmetries arrays if needed
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@ -209,7 +209,7 @@ class ElkConverter(ConverterTools,Elk_tools,read_Elk):
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spinmat = numpy.zeros([size,2,size,2],complex)
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spinmat = numpy.zeros([size,2,size,2],complex)
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for isym in range(n_symm):
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for isym in range(n_symm):
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#expand size of array
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#expand size of array
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mat[isym][ish]=numpy.lib.pad(mat[isym][ish],((0,size),(0,size)),'constant',constant_values=(0.0))
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mat[isym][ish]=numpy.pad(mat[isym][ish],((0,size),(0,size)),'constant',constant_values=(0.0))
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#make arraye block diagonal
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#make arraye block diagonal
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mat[isym][ish][size:2*size,size:2*size]=mat[isym][ish][0:size,0:size]
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mat[isym][ish][size:2*size,size:2*size]=mat[isym][ish][0:size,0:size]
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#apply SU(2) spin matrices to lm symmetries
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#apply SU(2) spin matrices to lm symmetries
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