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mat_mat_op renamed to _mat_mat_op

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Fabian Joswig 2021-10-25 14:32:28 +01:00
parent a24e608413
commit ad53f28e46
3 changed files with 9 additions and 9 deletions
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8
pyerrors/correlators.py
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@ -5,7 +5,7 @@ import matplotlib.pyplot as plt
import scipy.linalg import scipy.linalg
from .pyerrors import Obs, dump_object from .pyerrors import Obs, dump_object
from .fits import standard_fit from .fits import standard_fit
from .linalg import eigh, mat_mat_op from .linalg import eigh, inv, cholesky
from .roots import find_root from .roots import find_root
@ -187,10 +187,10 @@ class Corr:
def Eigenvalue(self, t0, state=1): def Eigenvalue(self, t0, state=1):
G = self.smearing_symmetric() G = self.smearing_symmetric()
G0 = G.content[t0] G0 = G.content[t0]
L = mat_mat_op(anp.linalg.cholesky, G0) L = cholesky(G0)
Li = mat_mat_op(anp.linalg.inv, L) Li = inv(L)
LT = L.T LT = L.T
LTi = mat_mat_op(anp.linalg.inv, LT) LTi = inv(LT)
newcontent = [] newcontent = []
for t in range(self.T): for t in range(self.T):
Gt = G.content[t] Gt = G.content[t]

6
pyerrors/linalg.py
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@ -171,11 +171,11 @@ def matmul(*operands):
def inv(x): def inv(x):
return mat_mat_op(anp.linalg.inv, x) return _mat_mat_op(anp.linalg.inv, x)
def cholesky(x): def cholesky(x):
return mat_mat_op(anp.linalg.cholesky, x) return _mat_mat_op(anp.linalg.cholesky, x)
def scalar_mat_op(op, obs, **kwargs): def scalar_mat_op(op, obs, **kwargs):
@ -203,7 +203,7 @@ def scalar_mat_op(op, obs, **kwargs):
return derived_observable(_mat, raveled_obs, **kwargs) return derived_observable(_mat, raveled_obs, **kwargs)
def mat_mat_op(op, obs, **kwargs): def _mat_mat_op(op, obs, **kwargs):
"""Computes the matrix to matrix operation op to a given matrix of Obs.""" """Computes the matrix to matrix operation op to a given matrix of Obs."""
# Use real representation to calculate matrix operations for complex matrices # Use real representation to calculate matrix operations for complex matrices
if isinstance(obs.ravel()[0], CObs): if isinstance(obs.ravel()[0], CObs):

4
pyerrors/npr.py
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@ -27,8 +27,8 @@ class Npr_matrix(np.ndarray):
raise Exception('g5H only works for 12x12 matrices.') raise Exception('g5H only works for 12x12 matrices.')
extended_g5 = np.kron(np.eye(3, dtype=int), gamma5) extended_g5 = np.kron(np.eye(3, dtype=int), gamma5)
return Npr_matrix(matmul(extended_g5, self.conj().T, extended_g5), return Npr_matrix(matmul(extended_g5, self.conj().T, extended_g5),
mom_in=self.mom_out, mom_in=self.mom_out,
mom_out=self.mom_in) mom_out=self.mom_in)
def _propagate_mom(self, other, name): def _propagate_mom(self, other, name):
s_mom = getattr(self, name, None) s_mom = getattr(self, name, None)