Ensure fixed dimensions of cov and grad in covobs. Allow for differences of O(1e-14) in two cov matrices, when combining observables

This commit is contained in:
Simon Kuberski 2021-12-07 17:15:46 +01:00
parent 3324b0aa07
commit 3190140023
2 changed files with 4 additions and 1 deletions

View file

@ -23,6 +23,7 @@ class Covobs:
self.cov = np.array(cov)
if self.cov.ndim == 0:
self.N = 1
self.cov = np.diag([self.cov])
elif self.cov.ndim == 1:
self.N = len(self.cov)
self.cov = np.diag(self.cov)
@ -48,6 +49,8 @@ class Covobs:
self.grad[pos] = 1.
else:
self.grad = np.array(grad)
if self.grad.ndim == 1:
self.grad = np.reshape(self.grad, (self.N, 1))
self.value = mean
def errsq(self):