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mat_mat_op renamed to _mat_mat_op
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3 changed files with 9 additions and 9 deletions
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@ -5,7 +5,7 @@ import matplotlib.pyplot as plt
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import scipy.linalg
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from .pyerrors import Obs, dump_object
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from .fits import standard_fit
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from .linalg import eigh, mat_mat_op
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from .linalg import eigh, inv, cholesky
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from .roots import find_root
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@ -187,10 +187,10 @@ class Corr:
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def Eigenvalue(self, t0, state=1):
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G = self.smearing_symmetric()
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G0 = G.content[t0]
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L = mat_mat_op(anp.linalg.cholesky, G0)
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Li = mat_mat_op(anp.linalg.inv, L)
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L = cholesky(G0)
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Li = inv(L)
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LT = L.T
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LTi = mat_mat_op(anp.linalg.inv, LT)
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LTi = inv(LT)
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newcontent = []
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for t in range(self.T):
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Gt = G.content[t]
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@ -171,11 +171,11 @@ def matmul(*operands):
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def inv(x):
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return mat_mat_op(anp.linalg.inv, x)
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return _mat_mat_op(anp.linalg.inv, x)
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def cholesky(x):
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return mat_mat_op(anp.linalg.cholesky, x)
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return _mat_mat_op(anp.linalg.cholesky, x)
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def scalar_mat_op(op, obs, **kwargs):
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@ -203,7 +203,7 @@ def scalar_mat_op(op, obs, **kwargs):
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return derived_observable(_mat, raveled_obs, **kwargs)
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def mat_mat_op(op, obs, **kwargs):
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def _mat_mat_op(op, obs, **kwargs):
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"""Computes the matrix to matrix operation op to a given matrix of Obs."""
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# Use real representation to calculate matrix operations for complex matrices
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if isinstance(obs.ravel()[0], CObs):
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@ -27,8 +27,8 @@ class Npr_matrix(np.ndarray):
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raise Exception('g5H only works for 12x12 matrices.')
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extended_g5 = np.kron(np.eye(3, dtype=int), gamma5)
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return Npr_matrix(matmul(extended_g5, self.conj().T, extended_g5),
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mom_in=self.mom_out,
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mom_out=self.mom_in)
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mom_in=self.mom_out,
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mom_out=self.mom_in)
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def _propagate_mom(self, other, name):
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s_mom = getattr(self, name, None)
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