mirror of
https://github.com/triqs/dft_tools
synced 2024-11-01 03:33:50 +01:00
fe1aeb8dbf
This is a fix for issue #18. The type float128 doesn't exist on 32-bit machines. I removed it from the matrix_stack.pyx detection of a scalar. modified: pytriqs/gf/local/matrix_stack.pyx
35 lines
1.2 KiB
Cython
35 lines
1.2 KiB
Cython
import numpy
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class MatrixStack:
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def __init__(self, A):
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"""
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"""
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self.data = A
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self.is_double = A.dtype in [numpy.float, numpy.float32, numpy.float64, numpy.float_]
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def add(self, M):
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if self.is_double:
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matrix_stack[double](self.data).iadd(matrix_view[double](M))
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else:
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matrix_stack[dcomplex](self.data).iadd(matrix_view[dcomplex](M.astype(numpy.complex)))
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def sub(self, M):
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if self.is_double:
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matrix_stack[double](self.data).isub(matrix_view[double](M))
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else:
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matrix_stack[dcomplex](self.data).isub(matrix_view[dcomplex](M.astype(numpy.complex)))
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def matmul_L_R(self, L, D, R):
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if self.is_double:
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matrix_stack[double](self.data).onsite_matmul_L_R(matrix_view[double](L), matrix_stack[double](D), matrix_view[double](R))
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else:
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matrix_stack[dcomplex](self.data).onsite_matmul_L_R(
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matrix_view[dcomplex](L.astype(numpy.complex)), matrix_stack[dcomplex](D), matrix_view[dcomplex](R.astype(numpy.complex)))
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def invert(self):
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if self.is_double:
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matrix_stack[double](self.data).invert()
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else:
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matrix_stack[dcomplex](self.data).invert()
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