zwickytransientfacility / ztf_sim Goto Github PK

(ztf_sim_test) dhcp-194-201:~ danny$ run_ztf_sim --help
WARNING: AstropyDeprecationWarning: astropy.extern.six will be removed in 4.0, use the six module directly if it is still needed [astropy.extern.six]
/anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
  warnings.warn(msg, category=DeprecationWarning)
Traceback (most recent call last):
  File "/anaconda2/envs/ztf_sim_test/bin/run_ztf_sim", line 6, in <module>
    from ztf_sim.simulate import simulate
  File "/anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/ztf_sim/__init__.py", line 5, in <module>
    from .Scheduler import *
  File "/anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/ztf_sim/Scheduler.py", line 6, in <module>
    from .QueueManager import ListQueueManager, GreedyQueueManager, GurobiQueueManager
  File "/anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/ztf_sim/QueueManager.py", line 14, in <module>
    from .magnitudes import limiting_mag
  File "/anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/ztf_sim/magnitudes.py", line 19, in <module>
    R20_interp_alt = {1: interp_R20_airmass(filter_id=1),
  File "/anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/ztf_sim/magnitudes.py", line 14, in interp_R20_airmass
    data = np.loadtxt(R20_file)
  File "/anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/numpy/lib/npyio.py", line 962, in loadtxt
    fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
  File "/anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/numpy/lib/_datasource.py", line 266, in open
    return ds.open(path, mode, encoding=encoding, newline=newline)
  File "/anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/numpy/lib/_datasource.py", line 624, in open
    raise IOError("%s not found." % path)
OSError: /anaconda2/envs/ztf_sim_test/lib/python3.7/site-packages/ztf_sim/../data/R20_absorbed_ZTFg.txt not found.
(ztf_sim_test) dhcp-194-201:~ danny$

--2019-06-12 10:46:23--  https://raw.githubusercontent.com/ZwickyTransientFacility/ztf_sim/master/sims/example_scheduler_config.json
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.196.133
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.196.133|:443... connected.
HTTP request sent, awaiting response... 404 Not Found
2019-06-12 10:46:23 ERROR 404: Not Found.

(ztf_sim_test) dhcp-194-201:ztf_sim danny$ wget https://raw.githubusercontent.com/ZwickyTransientFacility/ztf_sim/master/sims/survey_180501.json
--2019-06-12 10:46:23--  https://raw.githubusercontent.com/ZwickyTransientFacility/ztf_sim/master/sims/survey_180501.json
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.196.133
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.196.133|:443... connected.
HTTP request sent, awaiting response... 404 Not Found
2019-06-12 10:46:23 ERROR 404: Not Found.

(ztf_sim_test) dhcp-194-201:ztf_sim danny$ wget https://raw.githubusercontent.com/ZwickyTransientFacility/ztf_sim/master/sims/reference_building.json
--2019-06-12 10:46:26--  https://raw.githubusercontent.com/ZwickyTransientFacility/ztf_sim/master/sims/reference_building.json
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.196.133
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.196.133|:443... connected.
HTTP request sent, awaiting response... 404 Not Found
2019-06-12 10:46:26 ERROR 404: Not Found.```

 If you are loading a serialized model (like pickle in Python) generated by older
  XGBoost, please export the model by calling `Booster.save_model` from that version
  first, then load it back in current version.  There's a simple script for helping
  the process. See:

    https://xgboost.readthedocs.io/en/latest/tutorials/saving_model.html

  for reference to the script, and more details about differences between saving model and
  serializing.