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Warning messages promoted to RuntimeWarnings

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This commit is contained in:
Fabian Joswig 2021-10-15 12:11:06 +01:00
parent 8488df00fd
commit 4ca6f8ea49
3 changed files with 9 additions and 8 deletions
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7
pyerrors/fits.py
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@ -1,6 +1,7 @@
#!/usr/bin/env python
# coding: utf-8
import warnings
import numpy as np
import autograd.numpy as anp
import scipy.optimize
@ -300,7 +301,7 @@ def odr_fit(x, y, func, silent=False, **kwargs):
P_phi = A @ np.linalg.inv(A.T @ A) @ A.T
expected_chisquare = np.trace((np.identity(P_phi.shape[0]) - P_phi) @ W @ cov @ W)
if expected_chisquare <= 0.0:
print('Warning, negative expected_chisquare.')
warnings.warn("Negative expected_chisquare.", RuntimeWarning)
expected_chisquare = np.abs(expected_chisquare)
result_dict['chisquare/expected_chisquare'] = odr_chisquare(np.concatenate((output.beta, output.xplus.ravel()))) / expected_chisquare
if not silent:
@ -611,9 +612,7 @@ def error_band(x, func, beta):
"""Returns the error band for an array of sample values x, for given fit function func with optimized parameters beta."""
cov = covariance_matrix(beta)
if np.any(np.abs(cov - cov.T) > 1000 * np.finfo(np.float64).eps):
print('Warning, Covariance matrix is not symmetric within floating point precision')
print('cov - cov.T:')
print(cov - cov.T)
warnings.warn("Covariance matrix is not symmetric within floating point precision", RuntimeWarning)
deriv = []
for i, item in enumerate(x):