From 101e14289e79ba581957471d004efdfecda5056a Mon Sep 17 00:00:00 2001 From: fjosw Date: Thu, 13 Feb 2025 18:44:44 +0000 Subject: [PATCH] Documentation updated --- docs/pyerrors/fits.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/pyerrors/fits.html b/docs/pyerrors/fits.html index 63d7aae4..b6c6d318 100644 --- a/docs/pyerrors/fits.html +++ b/docs/pyerrors/fits.html @@ -404,7 +404,7 @@ 293 if len(key_ls) > 1: 294 for key in key_ls: 295 if np.asarray(yd[key]).shape != funcd[key](np.arange(n_parms), xd[key]).shape: -296 raise ValueError(f"Fit function {key} returns the wrong shape ({funcd[key](np.arange(n_parms), xd[key]).shape} instead of {xd[key].shape})\nIf the fit function is just a constant you could try adding x*0 to get the correct shape.") +296 raise ValueError(f"Fit function {key} returns the wrong shape ({funcd[key](np.arange(n_parms), xd[key]).shape} instead of {np.asarray(yd[key]).shape})\nIf the fit function is just a constant you could try adding x*0 to get the correct shape.") 297 298 if not silent: 299 print('Fit with', n_parms, 'parameter' + 's' * (n_parms > 1)) @@ -1378,7 +1378,7 @@ Hotelling t-squared p-value for correlated fits. 294 if len(key_ls) > 1: 295 for key in key_ls: 296 if np.asarray(yd[key]).shape != funcd[key](np.arange(n_parms), xd[key]).shape: -297 raise ValueError(f"Fit function {key} returns the wrong shape ({funcd[key](np.arange(n_parms), xd[key]).shape} instead of {xd[key].shape})\nIf the fit function is just a constant you could try adding x*0 to get the correct shape.") +297 raise ValueError(f"Fit function {key} returns the wrong shape ({funcd[key](np.arange(n_parms), xd[key]).shape} instead of {np.asarray(yd[key]).shape})\nIf the fit function is just a constant you could try adding x*0 to get the correct shape.") 298 299 if not silent: 300 print('Fit with', n_parms, 'parameter' + 's' * (n_parms > 1))