Comments (2)
Good point... I'd be willing to just say that Python 2.6 is required. The ast module changed greatly between 2.5 and 2.6 as well.
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closing -- python2.6 is required.
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Related Issues (20)
- Test suite: Skipped tests cause test suite failures HOT 6
- Test suite failures: Pytest fails with multiprocessing, ConstantModel has not independent_vars HOT 1
- Test suite failures: Pytest fails with multiprocessing, ConstantModel has not independent_vars HOT 1
- Test suite failures: Pytest fails with multiprocessing, ConstantModel has not independent_vars HOT 1
- Test suite failures: Pytest fails with multiprocessing, ConstantModel has not independent_vars HOT 1
- Cannot select method of scipy least_squares function HOT 6
- Model.make_params() sometimes ignores set a parameter with a prefix
- an aborted fit with `method='least_squares'` does not report correct fit results and statistics HOT 3
- ModelResult.eval_uncertainty does not work for complex models HOT 2
- loaded ModelResult bug (eval_uncertainty() not working) HOT 1
- `result.params.uvars` not correctly created with Minimize HOT 1
- jacobian matrix HOT 1
- Inconsistencies with non-parameter model function arguments HOT 1
- Retain default values for keyword arguments when manually choosing param_names
- Model.fit() gives the wrong 'rsquared' when 'weights' is given HOT 3
- OS systems where multithreading.Pool is not allowed HOT 1
- lmfit-py is affected by the uncertainities Python3.12 incompatibility HOT 9
- ModelResult loads does not work with user defined parameter expressions HOT 4
- Defining `self.min_rel_change` in confidence.py as variable
- Default `method="leastsq"` in `Model().fit()` when `Parameters` have bounds HOT 2
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