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Ensure fixed dimensions of cov and grad in covobs. Allow for differences of O(1e-14) in two cov matrices, when combining observables
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2 changed files with 4 additions and 1 deletions
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@ -23,6 +23,7 @@ class Covobs:
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self.cov = np.array(cov)
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if self.cov.ndim == 0:
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self.N = 1
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self.cov = np.diag([self.cov])
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elif self.cov.ndim == 1:
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self.N = len(self.cov)
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self.cov = np.diag(self.cov)
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@ -48,6 +49,8 @@ class Covobs:
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self.grad[pos] = 1.
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else:
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self.grad = np.array(grad)
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if self.grad.ndim == 1:
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self.grad = np.reshape(self.grad, (self.N, 1))
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self.value = mean
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def errsq(self):
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