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fix: explicit type check replaced by isinstance in fits.least_squares.

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This commit is contained in:
Fabian Joswig 2023-09-17 18:11:26 +02:00
parent 2017de0ec7
commit 957030cba0
1 changed files with 2 additions and 2 deletions
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4
pyerrors/fits.py
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@ -168,12 +168,12 @@ def least_squares(x, y, func, priors=None, silent=False, **kwargs):
''' '''
output = Fit_result() output = Fit_result()
if (type(x) == dict and type(y) == dict and type(func) == dict): if (isinstance(x, dict) and isinstance(y, dict) and isinstance(func, dict)):
xd = {key: anp.asarray(x[key]) for key in x} xd = {key: anp.asarray(x[key]) for key in x}
yd = y yd = y
funcd = func funcd = func
output.fit_function = func output.fit_function = func
elif (type(x) == dict or type(y) == dict or type(func) == dict): elif (isinstance(x, dict) or isinstance(y, dict) or isinstance(func, dict)):
raise TypeError("All arguments have to be dictionaries in order to perform a combined fit.") raise TypeError("All arguments have to be dictionaries in order to perform a combined fit.")
else: else:
x = np.asarray(x) x = np.asarray(x)