lattice/pyerrors
1
0
Fork 0
mirror of https://github.com/fjosw/pyerrors.git synced 2025-12-15 11:51:50 +01:00
Code Issues Projects Releases Packages Wiki Activity

[Fix] Further type fixes in fits and sfcf

Browse source
This commit is contained in:
Fabian Joswig 2025-01-05 16:54:22 +01:00
commit 5376a8ad44
2 changed files with 41 additions and 44 deletions
Download patch file Download diff file Expand all files Collapse all files

16
pyerrors/fits.py
View file

@ -55,12 +55,12 @@ class Fit_result(Sequence):
def __getitem__(self, idx: int) -> Obs:
if self.fit_parameters is None:
raise ValueError('No fit parameters available.')
raise TypeError('No fit parameters available.')
return self.fit_parameters[idx]
def __len__(self) -> int:
if self.fit_parameters is None:
raise ValueError('No fit parameters available.')
raise TypeError('No fit parameters available.')
return len(self.fit_parameters)
def gamma_method(self, **kwargs):
@ -71,19 +71,19 @@ class Fit_result(Sequence):
def __str__(self) -> str:
my_str = 'Goodness of fit:\n'
if hasattr(self, 'chisquare_by_dof'):
if self.chisquare_by_dof is not None:
my_str += '\u03C7\u00b2/d.o.f. = ' + f'{self.chisquare_by_dof:2.6f}' + '\n'
elif hasattr(self, 'residual_variance'):
elif self.residual_variance is not None:
my_str += 'residual variance = ' + f'{self.residual_variance:2.6f}' + '\n'
if hasattr(self, 'chisquare_by_expected_chisquare'):
if self.chisquare_by_expected_chisquare is not None:
my_str += '\u03C7\u00b2/\u03C7\u00b2exp = ' + f'{self.chisquare_by_expected_chisquare:2.6f}' + '\n'
if hasattr(self, 'p_value'):
if self.p_value is not None:
my_str += 'p-value = ' + f'{self.p_value:2.4f}' + '\n'
if hasattr(self, 't2_p_value'):
if self.t2_p_value is not None:
my_str += 't\u00B2p-value = ' + f'{self.t2_p_value:2.4f}' + '\n'
my_str += 'Fit parameters:\n'
if self.fit_parameters is None:
raise ValueError('No fit parameters available.')
raise TypeError('No fit parameters available.')
for i_par, par in enumerate(self.fit_parameters):
my_str += str(i_par) + '\t' + ' ' * int(par >= 0) + str(par).rjust(int(par < 0.0)) + '\n'
return my_str