no change /global/homes/b/bastienc/.miniconda3/condabin/conda no change /global/homes/b/bastienc/.miniconda3/bin/conda no change /global/homes/b/bastienc/.miniconda3/bin/conda-env no change /global/homes/b/bastienc/.miniconda3/bin/activate no change /global/homes/b/bastienc/.miniconda3/bin/deactivate no change /global/homes/b/bastienc/.miniconda3/etc/profile.d/conda.sh no change /global/homes/b/bastienc/.miniconda3/etc/fish/conf.d/conda.fish no change /global/homes/b/bastienc/.miniconda3/shell/condabin/Conda.psm1 no change /global/homes/b/bastienc/.miniconda3/shell/condabin/conda-hook.ps1 no change /global/homes/b/bastienc/.miniconda3/lib/python3.13/site-packages/xontrib/conda.xsh no change /global/homes/b/bastienc/.miniconda3/etc/profile.d/conda.csh no change /global/homes/b/bastienc/.bashrc No action taken. CondaError: Run 'conda init' before 'conda activate' DEPRECATION: Building 'nflows' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'nflows'. Discussion can be found at https://github.com/pypa/pip/issues/6334 /global/cfs/cdirs/lsst/www/DESC_TD_PUBLIC/users/bastienc/kestrel/src/kestrel/dustbi_simulator.py:751: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` df["MU"] = Planck18.distmod(df.zHD.values).value Added 15 priors The NN will be trained on a 10-dimensional space, on ['SIM_c', 'SIM_RV', 'SIM_beta', 'SIM_x1', 'SIM_EBV', 'STEP', 'SCATTER'] Only loading DES Data Traceback (most recent call last): File "/global/cfs/cdirs/lsst/www/DESC_TD_PUBLIC/users/bastienc/kestrel/scripts/run_sims.py", line 169, in df, dfdata = load_data(simfilename, datfilename) ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/global/cfs/cdirs/lsst/www/DESC_TD_PUBLIC/users/bastienc/kestrel/src/kestrel/dustbi_simulator.py", line 759, in load_data dfdata = dfdata.loc[dfdata.PROB_SNNV19 >= 0.5] ^^^^^^^^^^^^^^^^^^ File "/global/homes/b/bastienc/.miniconda3/lib/python3.13/site-packages/pandas/core/generic.py", line 6206, in __getattr__ return object.__getattribute__(self, name) ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ AttributeError: 'DataFrame' object has no attribute 'PROB_SNNV19' Added 15 priors The NN will be trained on a 10-dimensional space, on ['SIM_c', 'SIM_RV', 'SIM_beta', 'SIM_x1', 'SIM_EBV', 'STEP', 'SCATTER'] I've not detected /global/cfs/cdirs/lsst/www/DESC_TD_PUBLIC/users/bastienc/kestrel/posteriors/sims_DEBASS.v5.MIX.h5 anywhere. Is this intentional?