[0KRunning with gitlab-runner 13.6.0 (8fa89735)
[0;m[0K on runners.ligo.uwm.edu c446c2e0
[0;msection_start:1607573987:resolve_secrets
[0K[0K[36;1mResolving secrets[0;m
[0;msection_end:1607573987:resolve_secrets
[0Ksection_start:1607573987:prepare_executor
[0K[0K[36;1mPreparing the "docker" executor[0;m
[0;m[0KUsing Docker executor with image quay.io/[MASKED]/v2-dockerfile-test-suite-python37 ...
[0;m[0KPulling docker image quay.io/[MASKED]/v2-dockerfile-test-suite-python37 ...
[0;m[0KUsing docker image sha256:40b803fcbc4d1481483751887bf6eb43ab6cf25c2455683523a86c6cfcf1bede for quay.io/[MASKED]/v2-dockerfile-test-suite-python37 with digest quay.io/[MASKED]/v2-dockerfile-test-suite-python37@sha256:0c9d90d997a122f57d5b4eaac3d5d8250a8c252bdca98604d19eb10962b6b41c ...
[0;msection_end:1607573991:prepare_executor
[0Ksection_start:1607573991:prepare_script
[0K[0K[36;1mPreparing environment[0;m
[0;mRunning on runner-c446c2e0-project-1846-concurrent-1 via runners.ligo.uwm.edu...
section_end:1607573992:prepare_script
[0Ksection_start:1607573992:get_sources
[0K[0K[36;1mGetting source from Git repository[0;m
[0;m[32;1mFetching changes...[0;m
Reinitialized existing Git repository in /builds/lscsoft/bilby/.git/
[32;1mChecking out 53aa1e5b as master...[0;m
Removing .pytest_cache/
Removing bilby/__pycache__/
Removing bilby/core/__pycache__/
Removing bilby/core/prior/__pycache__/
Removing bilby/core/sampler/__pycache__/
Removing bilby/gw/__pycache__/
Removing bilby/gw/detector/__pycache__/
Removing bilby/gw/eos/__pycache__/
Removing bilby/gw/sampler/__pycache__/
Removing bilby/hyper/__pycache__/
Removing prior_files/
Removing sampler_state.txt
Removing test.pickle
Removing test/__pycache__/
Removing test/core/__pycache__/
Removing test/core/prior/__pycache__/
Removing test/core/sampler/__pycache__/
Removing test/gw/__pycache__/
Removing test/gw/detector/__pycache__/
Removing test/gw/eos/__pycache__/
Removing test/gw/sampler/__pycache__/
Removing test/hyper/__pycache__/
Removing test/integration/__pycache__/
[32;1mSkipping Git submodules setup[0;m
section_end:1607573994:get_sources
[0Ksection_start:1607573994:step_script
[0K[0K[36;1mExecuting "step_script" stage of the job script[0;m
[0;m[32;1m$ python -m pip install .[0;m
Processing /builds/lscsoft/bilby
Requirement already satisfied: future in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (0.18.2)
Requirement already satisfied: dynesty>=1.0.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.0.1)
Requirement already satisfied: emcee in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (3.0.2)
Requirement already satisfied: corner in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (2.1.0)
Requirement already satisfied: dill in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (0.3.3)
Requirement already satisfied: numpy>=1.9 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.19.4)
Requirement already satisfied: matplotlib>=2.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (3.3.3)
Requirement already satisfied: pandas in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.1.4)
Requirement already satisfied: scipy in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.5.3)
Requirement already satisfied: tqdm in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (4.54.1)
Requirement already satisfied: wheel in /opt/conda/envs/python37/lib/python3.7/site-packages (from corner->bilby==1.0.4) (0.36.1)
Requirement already satisfied: matplotlib>=2.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (3.3.3)
Requirement already satisfied: setuptools-scm in /opt/conda/envs/python37/lib/python3.7/site-packages (from corner->bilby==1.0.4) (4.1.2)
Requirement already satisfied: setuptools>=40.6.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from corner->bilby==1.0.4) (51.0.0)
Requirement already satisfied: matplotlib>=2.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (3.3.3)
Requirement already satisfied: scipy in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.5.3)
Requirement already satisfied: six in /opt/conda/envs/python37/lib/python3.7/site-packages (from dynesty>=1.0.0->bilby==1.0.4) (1.15.0)
Requirement already satisfied: numpy>=1.9 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.19.4)
Requirement already satisfied: numpy>=1.9 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.19.4)
Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python37/lib/python3.7/site-packages (from matplotlib>=2.0->bilby==1.0.4) (2.8.1)
Requirement already satisfied: pillow>=6.2.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from matplotlib>=2.0->bilby==1.0.4) (8.0.1)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /opt/conda/envs/python37/lib/python3.7/site-packages (from matplotlib>=2.0->bilby==1.0.4) (2.4.7)
Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python37/lib/python3.7/site-packages (from matplotlib>=2.0->bilby==1.0.4) (1.3.1)
Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python37/lib/python3.7/site-packages (from matplotlib>=2.0->bilby==1.0.4) (0.10.0)
Requirement already satisfied: numpy>=1.9 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.19.4)
Requirement already satisfied: six in /opt/conda/envs/python37/lib/python3.7/site-packages (from dynesty>=1.0.0->bilby==1.0.4) (1.15.0)
Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python37/lib/python3.7/site-packages (from matplotlib>=2.0->bilby==1.0.4) (2.8.1)
Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/python37/lib/python3.7/site-packages (from pandas->bilby==1.0.4) (2020.4)
Requirement already satisfied: numpy>=1.9 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.19.4)
Requirement already satisfied: six in /opt/conda/envs/python37/lib/python3.7/site-packages (from dynesty>=1.0.0->bilby==1.0.4) (1.15.0)
Requirement already satisfied: numpy>=1.9 in /opt/conda/envs/python37/lib/python3.7/site-packages (from bilby==1.0.4) (1.19.4)
Requirement already satisfied: setuptools>=40.6.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from corner->bilby==1.0.4) (51.0.0)
Building wheels for collected packages: bilby
Building wheel for bilby (setup.py): started
Building wheel for bilby (setup.py): finished with status 'done'
Created wheel for bilby: filename=bilby-1.0.4-py3-none-any.whl size=2188485 sha256=7be234f0c035cb944297b24dcac94b88de29e63b0a0e23544d2c4954399e5aef
Stored in directory: /tmp/pip-ephem-wheel-cache-bfgp0dkz/wheels/8f/9c/db/a18fefa8a68a5b666a894c966c8e1bac2f8fd6c203bf44ed43
Successfully built bilby
Installing collected packages: bilby
Successfully installed bilby-1.0.4
[32;1m$ flake8 .[0;m
[32;1m$ pytest --cov=bilby --durations 10[0;m
============================= test session starts ==============================
platform linux -- Python 3.7.8, pytest-6.1.2, py-1.9.0, pluggy-0.13.1
rootdir: /builds/lscsoft/bilby, configfile: setup.cfg
plugins: cov-2.10.1, ligo.skymap-0.5.0
collected 844 items
test/core/grid_test.py ................. [ 2%]
test/core/likelihood_test.py ........................................... [ 7%]
........................................ [ 11%]
test/core/result_test.py ............................................... [ 17%]
.... [ 17%]
test/core/series_test.py .............. [ 19%]
test/core/utils_test.py ................................ [ 23%]
test/core/prior/base_test.py ....................... [ 26%]
test/core/prior/conditional_test.py .............................. [ 29%]
test/core/prior/dict_test.py ................................. [ 33%]
test/core/prior/prior_test.py ................................. [ 37%]
test/core/prior/slabspike_test.py ........................ [ 40%]
test/core/sampler/base_sampler_test.py ............. [ 41%]
test/core/sampler/cpnest_test.py .. [ 42%]
test/core/sampler/dnest4_test.py .. [ 42%]
test/core/sampler/dynesty_test.py ... [ 42%]
test/core/sampler/emcee_test.py .. [ 42%]
test/core/sampler/kombine_test.py .. [ 43%]
test/core/sampler/nestle_test.py .. [ 43%]
test/core/sampler/polychord_test.py .. [ 43%]
test/core/sampler/proposal_test.py ..................................... [ 47%]
... [ 48%]
test/core/sampler/ptemcee_test.py .. [ 48%]
test/core/sampler/pymc3_test.py .. [ 48%]
test/core/sampler/pymultinest_test.py .. [ 49%]
test/core/sampler/sampler_run_test.py ............F [ 50%]
test/core/sampler/ultranest_test.py .. [ 50%]
test/gw/conversion_test.py ...................................... [ 55%]
test/gw/cosmology_test.py ........ [ 56%]
test/gw/likelihood_test.py ....................................... [ 60%]
test/gw/prior_test.py ........................................... [ 65%]
test/gw/result_test.py .......................... [ 69%]
test/gw/source_test.py ............. [ 70%]
test/gw/utils_test.py .............. [ 72%]
test/gw/waveform_generator_test.py ..................................... [ 76%]
...... [ 77%]
test/gw/detector/calibration_test.py ..... [ 77%]
test/gw/detector/geometry_test.py ................................. [ 81%]
test/gw/detector/interferometer_test.py ................................ [ 85%]
....... [ 86%]
test/gw/detector/networks_test.py ........................... [ 89%]
test/gw/detector/psd_test.py ............................... [ 93%]
test/gw/detector/strain_data_test.py ................................ [ 97%]
test/gw/eos/eos_test.py ..... [ 97%]
test/gw/sampler/proposal_test.py ...... [ 98%]
test/hyper/hyper_pe_test.py ...... [ 99%]
test/integration/noise_realisation_test.py .. [ 99%]
test/integration/test_waveforms.py ..... [100%]
=================================== FAILURES ===================================
____________________ TestRunningSamplers.test_run_ultranest ____________________
self = <test.core.sampler.sampler_run_test.TestRunningSamplers testMethod=test_run_ultranest>
def test_run_ultranest(self):
# run using NestedSampler (with nlive specified)
_ = bilby.run_sampler(
likelihood=self.likelihood, priors=self.priors,
sampler="ultranest", nlive=100, save=False,
)
# run using ReactiveNestedSampler (with no nlive given)
_ = bilby.run_sampler(
likelihood=self.likelihood, priors=self.priors,
> sampler='ultranest', save=False,
)
test/core/sampler/sampler_run_test.py:168:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
bilby/core/sampler/__init__.py:184: in run_sampler
result = sampler.run_sampler()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <bilby.core.sampler.ultranest.Ultranest object at 0x7f0a805ce750>
def run_sampler(self):
import ultranest
import ultranest.stepsampler
if self.kwargs["dlogz"] is None:
# remove dlogz, so ultranest defaults (which are different for
# NestedSampler and ReactiveNestedSampler) are used
self.kwargs.pop("dlogz")
self._verify_kwargs_against_default_kwargs()
stepsampler = self.kwargs.pop("step_sampler", None)
self._setup_run_directory()
self.kwargs["log_dir"] = self.kwargs.pop("outputfiles_basename")
self._check_and_load_sampling_time_file()
# use reactive nested sampler when no live points are given
if self.kwargs.get("num_live_points", None) is not None:
integrator = ultranest.integrator.NestedSampler
else:
integrator = ultranest.integrator.ReactiveNestedSampler
sampler = integrator(
self.search_parameter_keys,
self.log_likelihood,
transform=self.prior_transform,
**self.sampler_init_kwargs,
)
if stepsampler is not None:
if isinstance(stepsampler, ultranest.stepsampler.StepSampler):
sampler.stepsampler = stepsampler
else:
logger.warning(
"The supplied step sampler is not the correct type. "
"The default step sampling will be used instead."
)
if self.use_temporary_directory:
self._viz_callback_counter = 1
self.start_time = time.time()
> results = sampler.run(**self.sampler_function_kwargs)
E TypeError: run() got an unexpected keyword argument 'update_interval_iter_fraction'
bilby/core/sampler/ultranest.py:318: TypeError
----------------------------- Captured stdout call -----------------------------
No version information file '.version' found
Mono-modal Volume: ~exp(-3.00) Expected Volume: exp(-4.61)
m: +0.0e+00|****** ********************* +5.0e+00 | +1.0e+01
c: -10.0| -2.0 ************ +2.0 | +10.0
Z=-8e+03+7 | Like=-8e+03..7 | it/evals=0/200 eff=0.0000%
Z=-4e+03+9 | Like=-4e+03..9 | it/evals=20/200 eff=10.0000%
Z=-2e+03+9 | Like=-2e+03..9 | it/evals=40/200 eff=20.0000%
Z=-1e+03+9 | Like=-1e+03..9 | it/evals=60/200 eff=30.0000%
Mono-modal Volume: ~exp(-3.86) Expected Volume: exp(-5.34)
m: +0.0e+00|****** ***************** * +4.5e+00 | +1.0e+01
c: -10.0| -2.0 *********** +1.7 | +10.0
Z=-9e+02+9 | Like=-9e+02..9 | it/evals=80/302 eff=26.4901%
Z=-7e+02+8 | Like=-7e+02..9 | it/evals=100/302 eff=33.1126%
Z=-6e+02+8 | Like=-6e+02..9 | it/evals=120/302 eff=39.7351%
Z=-5e+02+8 | Like=-5e+02..9 | it/evals=140/371 eff=37.7358%
Mono-modal Volume: ~exp(-4.55) Expected Volume: exp(-6.16)
m: +0.0e+00|******************* +3.2e+00 | +1.0e+01
c: -10.0| -1.4 ******* +1.0 | +10.0
Z=-4e+02+8 | Like=-4e+02..9 | it/evals=160/435 eff=36.7816%
Z=-3e+02+8 | Like=-3e+02..9 | it/evals=180/435 eff=41.3793%
Z=-3e+02+8 | Like=-3e+02..1e+01 | it/evals=200/505 eff=39.6040%
Z=-2e+02+8 | Like=-2e+02..1e+01 | it/evals=220/505 eff=43.5644%
Z=-2e+02+1e+01 | Like=-2e+02..1e+01 | it/evals=240/533 eff=45.0281%
Mono-modal Volume: ~exp(-5.49) Expected Volume: exp(-7.05)
m: +0.0e+00|************* +2.2e+00 | +1.0e+01
c: -1.0| ** * **************************** * ***** ** * * | +1.0
Z=-2e+02+1e+01 | Like=-1e+02..1e+01 | it/evals=260/572 eff=45.4545%
Z=-1e+02+9 | Like=-1e+02..1e+01 | it/evals=280/596 eff=46.9799%
Z=-1e+02+9 | Like=-9e+01..1e+01 | it/evals=300/623 eff=48.1541%
Mono-modal Volume: ~exp(-6.18) Expected Volume: exp(-7.73)
m: +0.0e+00|********** +1.7e+00 | +1.0e+01
c: -1.0| -0.5 ************************** *** *** | +1.0
Z=-8e+01+9 | Like=-7e+01..1e+01 | it/evals=320/670 eff=47.7612%
Z=-6e+01+9 | Like=-6e+01..1e+01 | it/evals=340/708 eff=48.0226%
Z=-5e+01+9 | Like=-4e+01..1e+01 | it/evals=360/736 eff=48.9130%
Z=-4e+01+8 | Like=-3e+01..1e+01 | it/evals=380/764 eff=49.7382%
Mono-modal Volume: ~exp(-6.23) Expected Volume: exp(-8.42)
m: +0.0e+00|******** +1.3e+00 | +1.0e+01
c: -1.0| -0.2 ************************* * | +1.0
Z=-3e+01+8 | Like=-2e+01..1e+01 | it/evals=400/793 eff=50.4414%
Z=-2e+01+8 | Like=-1e+01..1e+01 | it/evals=420/837 eff=50.1792%
Mono-modal Volume: ~exp(-7.31) Expected Volume: exp(-9.00)
negative degeneracy between m and c: rho=-0.78
m: +0.0e+00|******* +1.1e+00 | +1.0e+01
c: -1.00| -0.09 ******************* * +0.61 | +1.00
Z=-2e+01+8 | Like=-9..1e+01 | it/evals=440/866 eff=50.8083%
Z=-1e+01+8 | Like=-2..1e+01 | it/evals=460/891 eff=51.6274%
Z=-6+8 | Like=0.9..1e+01 | it/evals=480/928 eff=51.7241%
Mono-modal Volume: ~exp(-7.53) Expected Volume: exp(-9.55)
negative degeneracy between m and c: rho=-0.82
m: +0.00| ** **** ****** *********************** **** ** * | +1.00
c: -1.000| -0.002 * ************** +0.516 | +1.000
Z=-5+7 | Like=2..1e+01 | it/evals=500/1037 eff=48.2160%
Z=-3+7 | Like=4..1e+01 | it/evals=520/1037 eff=50.1446%
Z=-1+7 | Like=6..1e+01 | it/evals=540/1125 eff=48.0000%
Z=-0.04+7 | Like=7..1e+01 | it/evals=560/1125 eff=49.7778%
Mono-modal Volume: ~exp(-8.33) Expected Volume: exp(-10.32)
negative degeneracy between m and c: rho=-0.82
m: +0.0| ******* ******************* **** +0.7 | +1.0
c: +0.00| ********************* +0.43 | +1.00
Z=0.9+7 | Like=8..1e+01 | it/evals=580/1216 eff=47.6974%
Z=2+7 | Like=9..1e+01 | it/evals=600/1216 eff=49.3421%
Mono-modal Volume: ~exp(-8.70) Expected Volume: exp(-10.65)
negative degeneracy between m and c: rho=-0.79
m: +0.0| +0.2 ********************* * *** +0.7 | +1.0
c: +0.0| ***************** +0.4 | +1.0
Z=2+6 | Like=1e+01..1e+01 | it/evals=620/1328 eff=46.6867%
Z=3+6 | Like=1e+01..1e+01 | it/evals=640/1328 eff=48.1928%
Z=3+6 | Like=1e+01..1e+01 | it/evals=660/1426 eff=46.2833%
Z=4+6 | Like=1e+01..1e+01 | it/evals=680/1426 eff=47.6858%
Mono-modal Volume: ~exp(-9.56) Expected Volume: exp(-11.56)
negative degeneracy between m and c: rho=-0.82
m: +0.0| +0.3 ******************* +0.6 | +1.0
c: +0.0| *********** +0.4 | +1.0
Z=4+6 | Like=1e+01..1e+01 | it/evals=700/1512 eff=46.2963%
Z=4+5 | Like=1e+01..1e+01 | it/evals=720/1512 eff=47.6190%
Mono-modal Volume: ~exp(-9.56) Expected Volume: exp(-11.83)
negative degeneracy between m and c: rho=-0.87
m: +0.0| +0.3 **************** +0.6 | +1.0
c: +0.0| *********** +0.3 | +1.0
Z=4+5 | Like=1e+01..1e+01 | it/evals=740/1637 eff=45.2046%
Z=5+5 | Like=1e+01..1e+01 | it/evals=760/1637 eff=46.4264%
Mono-modal Volume: ~exp(-10.52) Expected Volume: exp(-12.34)
negative degeneracy between m and c: rho=-0.86
m: +0.0| +0.3 ************* +0.6 | +1.0
c: +0.0| +0.2 ******** +0.3 | +1.0
Z=5+5 | Like=1e+01..1e+01 | it/evals=780/1763 eff=44.2428%
Z=5+5 | Like=1e+01..1e+01 | it/evals=800/1763 eff=45.3772%
Mono-modal Volume: ~exp(-10.86) Expected Volume: exp(-12.80)
negative degeneracy between m and c: rho=-0.86
m: +0.0| +0.4 ********** +0.5 | +1.0
c: +0.0| +0.2 ******* +0.3 | +1.0
Z=5+4 | Like=1e+01..1e+01 | it/evals=820/1869 eff=43.8737%
Z=5+4 | Like=1e+01..1e+01 | it/evals=840/1869 eff=44.9438%
Z=5+4 | Like=1e+01..1e+01 | it/evals=860/1869 eff=46.0139%
Z=5+4 | Like=1e+01..1e+01 | it/evals=880/1955 eff=45.0128%
Z=5+4 | Like=1e+01..1e+01 | it/evals=900/1955 eff=46.0358%
Mono-modal Volume: ~exp(-11.88) Expected Volume: exp(-13.63)
negative degeneracy between m and c: rho=-0.83
m: +0.0| +0.4 ******* +0.5 | +1.0
c: +0.0| +0.2 ***** +0.3 | +1.0
Z=5+3 | Like=1e+01..1e+01 | it/evals=920/2040 eff=45.0980%
Z=5+3 | Like=1e+01..1e+01 | it/evals=940/2055 eff=45.7421%
Z=5+3 | Like=1e+01..1e+01 | it/evals=960/2095 eff=45.8234%
Mono-modal Volume: ~exp(-12.43) Expected Volume: exp(-14.40)
negative degeneracy between m and c: rho=-0.86
m: +0.0| +0.4 ***** +0.5 | +1.0
c: +0.0| +0.2 *** +0.3 | +1.0
Z=5+3 | Like=1e+01..1e+01 | it/evals=980/2148 eff=45.6238%
Mono-modal Volume: ~exp(-12.43) Expected Volume: exp(-14.61)
negative degeneracy between m and c: rho=-0.83
m: +0.0| +0.4 ***** +0.5 | +1.0
c: +0.0| +0.2 *** +0.3 | +1.0
Z=5+3 | Like=1e+01..1e+01 | it/evals=1000/2257 eff=44.3066%
Z=5+2 | Like=1e+01..1e+01 | it/evals=1020/2257 eff=45.1927%
Z=5+2 | Like=1e+01..1e+01 | it/evals=1040/2353 eff=44.1989%
Z=5+2 | Like=1e+01..1e+01 | it/evals=1060/2353 eff=45.0489%
Mono-modal Volume: ~exp(-13.41) Expected Volume: exp(-15.40)
negative degeneracy between m and c: rho=-0.87
m: +0.0| +0.4 **** +0.5 | +1.0
c: +0.0| +0.2 *** +0.3 | +1.0
Z=5+2 | Like=1e+01..1e+01 | it/evals=1080/2431 eff=44.4262%
Z=5+2 | Like=1e+01..1e+01 | it/evals=1100/2431 eff=45.2489%
Mono-modal Volume: ~exp(-13.41) Expected Volume: exp(-15.63)
negative degeneracy between m and c: rho=-0.87
m: +0.0| +0.4 *** +0.5 | +1.0
c: +0.0| +0.2 *** +0.3 | +1.0
Z=5+1 | Like=1e+01..1e+01 | it/evals=1120/2549 eff=43.9388%
Z=5+1 | Like=1e+01..1e+01 | it/evals=1140/2549 eff=44.7234%
Mono-modal Volume: ~exp(-14.27) Expected Volume: exp(-16.13)
negative degeneracy between m and c: rho=-0.88
m: +0.0| +0.4 *** +0.5 | +1.0
c: +0.00| +0.25 ** +0.27 | +1.00
Z=5+1 | Like=1e+01..1e+01 | it/evals=1160/2660 eff=43.6090%
Z=5+0.8 | Like=1e+01..1e+01 | it/evals=1180/2660 eff=44.3609%
Mono-modal Volume: ~exp(-14.53) Expected Volume: exp(-16.53)
negative degeneracy between m and c: rho=-0.84
m: +0.0| +0.4 *** +0.5 | +1.0
c: +0.00| +0.25 ** +0.27 | +1.00
Z=5+0.6 | Like=1e+01..1e+01 | it/evals=1200/2775 eff=43.2432%
Z=5+0.4 | Like=1e+01..1e+01 | it/evals=1220/2775 eff=43.9640%
Z=5+0.2 | Like=1e+01..1e+01 | it/evals=1240/2782 eff=44.5723%
Z=5+0.01 | Like=1e+01..1e+01 | it/evals=1260/2813 eff=44.7920%
Z=5+-0.2 | Like=1e+01..1e+01 | it/evals=1280/2857 eff=44.8022%
Mono-modal Volume: ~exp(-15.77) Expected Volume: exp(-17.52)
negative degeneracy between m and c: rho=-0.83
m: +0.0| +0.4 ** +0.5 | +1.0
c: +0.000| +0.255 * +0.264 | +1.000
Z=5+-0.4 | Like=1e+01..1e+01 | it/evals=1300/3006 eff=43.2468%
Mono-modal Volume: ~exp(-15.77) Expected Volume: exp(-17.73)
negative degeneracy between m and c: rho=-0.82
m: +0.0| +0.4 * +0.5 | +1.0
c: +0.000| +0.256 * +0.263 | +1.000
Z=5+-0.6 | Like=1e+01..1e+01 | it/evals=1320/3006 eff=43.9122%
Z=5+-0.8 | Like=1e+01..1e+01 | it/evals=1340/3006 eff=44.5775%
Z=5+-1 | Like=1e+01..1e+01 | it/evals=1360/3006 eff=45.2428%
Mono-modal Volume: ~exp(-16.38) Expected Volume: exp(-18.26)
negative degeneracy between m and c: rho=-0.84
m: +0.0| +0.4 * +0.5 | +1.0
c: +0.000| +0.257 * +0.263 | +1.000
Z=5+-1 | Like=1e+01..1e+01 | it/evals=1380/3128 eff=44.1176%
Z=5+-1 | Like=1e+01..1e+01 | it/evals=1400/3128 eff=44.7570%
Z=5+-2 | Like=1e+01..1e+01 | it/evals=1420/3159 eff=44.9509%
niter: 1425
ncall: 3159
nsamples: 1525
logz: 5.287 +/- 0.251
h: 6.316
No version information file '.version' found
----------------------------- Captured stderr call -----------------------------
04:40 bilby INFO : Running for label 'label', output will be saved to 'outdir'
04:40 bilby INFO : Search parameters:
04:40 bilby INFO : m = Uniform(minimum=0, maximum=5, name=None, latex_label=None, unit=None, boundary='reflective')
04:40 bilby INFO : c = Uniform(minimum=-2, maximum=2, name=None, latex_label=None, unit=None, boundary='reflective')
04:40 bilby INFO : Single likelihood evaluation took 9.672e-05 s
04:40 bilby WARNING : Supplied argument 'npool' not an argument of 'Ultranest', removing.
04:40 bilby INFO : Using sampler Ultranest with kwargs {'resume': True, 'show_status': True, 'num_live_points': 100, 'wrapped_params': None, 'derived_param_names': [], 'run_num': None, 'vectorized': False, 'num_test_samples': 2, 'draw_multiple': True, 'num_bootstraps': 30, 'update_interval_iter': None, 'update_interval_ncall': None, 'log_interval': None, 'dlogz': None, 'max_iters': None, 'update_interval_iter_fraction': 0.2, 'viz_callback': <bound method Ultranest._viz_callback of <bilby.core.sampler.ultranest.Ultranest object at 0x7f0a805ceed0>>, 'dKL': 0.5, 'frac_remain': 0.01, 'Lepsilon': 0.001, 'min_ess': 400, 'max_ncalls': None, 'max_num_improvement_loops': -1, 'min_num_live_points': 400, 'cluster_num_live_points': 40, 'step_sampler': None}
04:40 bilby INFO : Using temporary file /tmp/tmpc54b9jsq
04:40 bilby INFO : Overwriting outdir/ultra_label/ with /tmp/tmpc54b9jsq/
04:40 bilby INFO : Sampling time: 0:00:01.639997
04:40 bilby INFO : Summary of results:
nsamples: 274
ln_noise_evidence: nan
ln_evidence: 5.287 +/- 0.251
ln_bayes_factor: nan +/- 0.251
04:40 bilby INFO : Running for label 'label', output will be saved to 'outdir'
04:40 bilby INFO : Search parameters:
04:40 bilby INFO : m = Uniform(minimum=0, maximum=5, name=None, latex_label=None, unit=None, boundary='reflective')
04:40 bilby INFO : c = Uniform(minimum=-2, maximum=2, name=None, latex_label=None, unit=None, boundary='reflective')
04:40 bilby INFO : Single likelihood evaluation took 1.069e-04 s
04:40 bilby WARNING : Supplied argument 'npool' not an argument of 'Ultranest', removing.
04:40 bilby INFO : Using sampler Ultranest with kwargs {'resume': True, 'show_status': True, 'num_live_points': None, 'wrapped_params': None, 'derived_param_names': [], 'run_num': None, 'vectorized': False, 'num_test_samples': 2, 'draw_multiple': True, 'num_bootstraps': 30, 'update_interval_iter': None, 'update_interval_ncall': None, 'log_interval': None, 'dlogz': None, 'max_iters': None, 'update_interval_iter_fraction': 0.2, 'viz_callback': <bound method Ultranest._viz_callback of <bilby.core.sampler.ultranest.Ultranest object at 0x7f0a805ce750>>, 'dKL': 0.5, 'frac_remain': 0.01, 'Lepsilon': 0.001, 'min_ess': 400, 'max_ncalls': None, 'max_num_improvement_loops': -1, 'min_num_live_points': 400, 'cluster_num_live_points': 40, 'step_sampler': None}
04:40 bilby INFO : Using temporary file /tmp/tmp6gp1bzl1
=============================== warnings summary ===============================
bilby/core/prior/conditional.py:287
/builds/lscsoft/bilby/bilby/core/prior/conditional.py:287: DeprecationWarning: invalid escape sequence \p
"""
bilby/core/result.py:1772
/builds/lscsoft/bilby/bilby/core/result.py:1772: DeprecationWarning: invalid escape sequence \m
template = ' $\mathrm{{ln}}(Z)={lnz:1.3g}$'
bilby/core/result.py:1774
/builds/lscsoft/bilby/bilby/core/result.py:1774: DeprecationWarning: invalid escape sequence \m
template = ' $\mathrm{{ln}}(B)={lnbf:1.3g}$'
bilby/gw/likelihood.py:542
/builds/lscsoft/bilby/bilby/gw/likelihood.py:542: DeprecationWarning: invalid escape sequence \p
"""
bilby/gw/prior.py:73
/builds/lscsoft/bilby/bilby/gw/prior.py:73: DeprecationWarning: invalid escape sequence \o
unit="$M_{\odot}$")
bilby/gw/prior.py:281
/builds/lscsoft/bilby/bilby/gw/prior.py:281: DeprecationWarning: invalid escape sequence \p
"""
bilby/gw/prior.py:293
/builds/lscsoft/bilby/bilby/gw/prior.py:293: DeprecationWarning: invalid escape sequence \m
latex_label='$\mathcal{M}$', unit=None, boundary=None):
bilby/gw/prior.py:698
/builds/lscsoft/bilby/bilby/gw/prior.py:698: DeprecationWarning: invalid escape sequence \m
'chirp_mass': '$\mathcal{M}$',
bilby/gw/prior.py:700
/builds/lscsoft/bilby/bilby/gw/prior.py:700: DeprecationWarning: invalid escape sequence \e
'symmetric_mass_ratio': '$\eta$',
bilby/gw/prior.py:705
/builds/lscsoft/bilby/bilby/gw/prior.py:705: DeprecationWarning: invalid escape sequence \c
'cos_tilt_1': '$\cos\\theta_1$',
bilby/gw/prior.py:706
/builds/lscsoft/bilby/bilby/gw/prior.py:706: DeprecationWarning: invalid escape sequence \c
'cos_tilt_2': '$\cos\\theta_2$',
bilby/gw/prior.py:707
/builds/lscsoft/bilby/bilby/gw/prior.py:707: DeprecationWarning: invalid escape sequence \D
'phi_12': '$\Delta\phi$',
bilby/gw/prior.py:708
/builds/lscsoft/bilby/bilby/gw/prior.py:708: DeprecationWarning: invalid escape sequence \p
'phi_jl': '$\phi_{JL}$',
bilby/gw/prior.py:710
/builds/lscsoft/bilby/bilby/gw/prior.py:710: DeprecationWarning: invalid escape sequence \m
'dec': '$\mathrm{DEC}$',
bilby/gw/prior.py:711
/builds/lscsoft/bilby/bilby/gw/prior.py:711: DeprecationWarning: invalid escape sequence \m
'ra': '$\mathrm{RA}$',
bilby/gw/prior.py:712
/builds/lscsoft/bilby/bilby/gw/prior.py:712: DeprecationWarning: invalid escape sequence \i
'iota': '$\iota$',
bilby/gw/prior.py:713
/builds/lscsoft/bilby/bilby/gw/prior.py:713: DeprecationWarning: invalid escape sequence \c
'cos_iota': '$\cos\iota$',
bilby/gw/prior.py:715
/builds/lscsoft/bilby/bilby/gw/prior.py:715: DeprecationWarning: invalid escape sequence \c
'cos_theta_jn': '$\cos\\theta_{JN}$',
bilby/gw/prior.py:716
/builds/lscsoft/bilby/bilby/gw/prior.py:716: DeprecationWarning: invalid escape sequence \p
'psi': '$\psi$',
bilby/gw/prior.py:717
/builds/lscsoft/bilby/bilby/gw/prior.py:717: DeprecationWarning: invalid escape sequence \p
'phase': '$\phi$',
bilby/gw/result.py:191
/builds/lscsoft/bilby/bilby/gw/result.py:191: DeprecationWarning: invalid escape sequence \%
label="{0} (mean, {1}$\%$)".format(ifo.upper(), int(level * 100)))
bilby/gw/result.py:200
/builds/lscsoft/bilby/bilby/gw/result.py:200: DeprecationWarning: invalid escape sequence \%
label="{0} (mean, {1}$\%$)".format(ifo.upper(), int(level * 100)),
bilby/gw/result.py:210
/builds/lscsoft/bilby/bilby/gw/result.py:210: DeprecationWarning: invalid escape sequence \%
ax1.set_ylabel('Amplitude [$\%$]', fontsize=font_size)
bilby/gw/result.py:587
/builds/lscsoft/bilby/bilby/gw/result.py:587: DeprecationWarning: invalid escape sequence \%
color=WAVEFORM_COLOR, label='{}\% credible interval'.format(
test/core/prior/base_test.py:103
/builds/lscsoft/bilby/test/core/prior/base_test.py:103: DeprecationWarning: invalid escape sequence \m
self.assertEqual(self.prior.latex_label, "$\mathcal{M}$")
test/core/prior/dict_test.py:74
/builds/lscsoft/bilby/test/core/prior/dict_test.py:74: DeprecationWarning: invalid escape sequence \m
latex_label="$\mathcal{M}$",
test/core/prior/dict_test.py:184
/builds/lscsoft/bilby/test/core/prior/dict_test.py:184: DeprecationWarning: invalid escape sequence \m
latex_label="$\mathcal{M}$",
test/core/result_test.py::TestResult::test_save_and_dont_overwrite_hdf5
test/core/result_test.py::TestResult::test_save_and_load_hdf5
test/core/result_test.py::TestResult::test_save_and_overwrite_default
test/core/result_test.py::TestResult::test_save_and_overwrite_hdf5
test/gw/detector/interferometer_test.py::TestInterferometer::test_to_and_from_hdf5_loading
test/gw/detector/interferometer_test.py::TestInterferometer::test_to_and_from_hdf5_wrong_class
test/gw/detector/networks_test.py::TestInterferometerList::test_to_and_from_hdf5_loading
test/gw/detector/networks_test.py::TestInterferometerList::test_to_and_from_hdf5_wrong_class
/opt/conda/envs/python37/lib/python3.7/site-packages/deepdish/io/hdf5io.py:251: FutureWarning: The Panel class is removed from pandas. Accessing it from the top-level namespace will also be removed in the next version
elif _pandas and isinstance(level, (pd.DataFrame, pd.Series, pd.Panel)):
test/core/result_test.py::TestResult::test_save_and_dont_overwrite_hdf5
test/core/result_test.py::TestResult::test_save_and_dont_overwrite_hdf5
test/core/result_test.py::TestResult::test_save_and_load_hdf5
test/core/result_test.py::TestResult::test_save_and_overwrite_default
test/core/result_test.py::TestResult::test_save_and_overwrite_default
test/core/result_test.py::TestResult::test_save_and_overwrite_hdf5
test/core/result_test.py::TestResult::test_save_and_overwrite_hdf5
/opt/conda/envs/python37/lib/python3.7/site-packages/deepdish/io/hdf5io.py:170: DeprecationWarning: (deepdish.io.save) Pickling {0: 1.690525703800356, 1: -0.4659373705408328, 2: 0.0328201636785844, 3: 0.40751628299650783, 4: -0.7889230286257386, 5: 0.00206557290594813, 6: -0.0008903858579313628, 7: -1.7547243063454208, 8: 1.0176580056634932, 9: 0.6004985159195494, 10: -0.6254289739667597, 11: -0.17154826119572117, 12: 0.5052993741967516, 13: -0.261356415191647, 14: -0.2427490786725466, 15: -1.4532414124907906, 16: 0.5545803118918878, 17: 0.12388090528703843, 18: 0.2744599237599636, 19: -1.5265245318698402, 20: 1.6506996911864755, 21: 0.15433553545635803, 22: -0.3871399432863881, 23: 2.029072220761112, 24: -0.04538602986064609, 25: -1.4506786991465748, 26: -0.4052278554276867, 27: -2.2883151019717225, 28: 1.0493965493432547, 29: -0.41647431852001854, 30: -0.7425535252045677, 31: 1.0724701315754954, 32: -1.6510755894058389, 33: 0.535429356326091, 34: -2.0644148031211755, 35: -0.6621593396668087, 36: -1.2042198455997326, 37: 1.461975627213524, 38: 1.7661608779293339, 39: -0.3294137519130651, 40: 0.8407332421435357, 41: -0.17998640125235033, 42: 0.5680618873279819, 43: -0.7528371964214647, 44: -1.708339203167056, 45: -1.803098658479741, 46: 0.38312185175751196, 47: 2.2475950528076996, 48: 0.269411630507887, 49: -0.5246046194008523, 50: 1.9120188623319405, 51: 0.23730184663719345, 52: 0.10143398521161544, 53: 0.25257773555531754, 54: -0.13237719756684715, 55: -0.3094763405888804, 56: -1.4349634660355541, 57: 0.5016241231810408, 58: -0.09477545043989416, 59: 1.1930859223440107, 60: -0.3688184684478463, 61: -1.9063698785304681, 62: -0.0996106318948645, 63: 1.6995372967466809, 64: -0.38342312293151254, 65: -0.8898568610207493, 66: -1.193591922258183, 67: -1.0500168110753734, 68: -0.30019373680016304, 69: -1.1799820934582053, 70: 1.4976391155975834, 71: -0.28263523607538044, 72: 0.10864837149473018, 73: 1.4382395207337566, 74: 1.5033185204169108, 75: -0.21273296701756084, 76: 0.3319742154884982, 77: 0.7350265843773598, 78: -0.1928554603497804, 79: -1.7780128529585086, 80: 0.6547057037031101, 81: 0.8943523048205326, 82: 0.4155026142980106, 83: -0.9235446567132176, 84: -0.19602731230796547, 85: -0.5907698188631366, 86: -0.29971123732782745, 87: 1.296885192726673, 88: 1.5295796333931557, 89: 0.6694181934096611, 90: 0.5487451197783295, 91: 0.6766289895558858, 92: -0.012242186606443108, 93: -0.07566346148706628, 94: -0.6736451873760739, 95: -0.05586745005007389, 96: 2.2599469866262614, 97: 0.8690393292538257, 98: -0.34211702342686306, 99: -0.4719266521335214}: This may cause incompatibities (for instance between Python 2 and 3) and should ideally be avoided
DeprecationWarning)
test/core/result_test.py::TestResult::test_save_and_dont_overwrite_hdf5
test/core/result_test.py::TestResult::test_save_and_dont_overwrite_hdf5
test/core/result_test.py::TestResult::test_save_and_load_hdf5
test/core/result_test.py::TestResult::test_save_and_overwrite_default
test/core/result_test.py::TestResult::test_save_and_overwrite_default
test/core/result_test.py::TestResult::test_save_and_overwrite_hdf5
test/core/result_test.py::TestResult::test_save_and_overwrite_hdf5
/opt/conda/envs/python37/lib/python3.7/site-packages/deepdish/io/hdf5io.py:170: DeprecationWarning: (deepdish.io.save) Pickling {0: -0.8644899915857458, 1: 0.3743703497375756, 2: 0.3915456935025806, 3: -1.4431216570009382, 4: 0.48633519724170227, 5: -0.569472270518497, 6: 1.4267211566488358, 7: 0.15684398370418373, 8: 1.7177300496602352, 9: -0.4581267928860093, 10: -0.2879838665207813, 11: 0.2998083522698998, 12: 1.0559482991645386, 13: 0.5658824886274059, 14: -1.233523943727563, 15: 0.18290070161476676, 16: 0.022244738540560485, 17: -0.42906859355599203, 18: -0.6481052928923601, 19: 1.7475772393486444, 20: -0.3903864813615635, 21: -0.8459226371278078, 22: 0.6371128328124404, 23: 0.13062297726225314, 24: -0.07581386630591783, 25: 0.7813018110504925, 26: 0.48862541589268554, 27: 0.3621900009510927, 28: 0.9642004843914092, 29: 0.2836364238347902, 30: -0.6169219490904727, 31: -0.3622822284197235, 32: -0.520972335304312, 33: 0.20972205697660057, 34: -1.0779848942507055, 35: -1.8324259667285763, 36: 0.08815492459839569, 37: -1.3365205499556942, 38: -1.9519780985451252, 39: 0.3733307838166882, 40: -0.7110531961235406, 41: 0.49612542223907585, 42: -0.5308537519246391, 43: -1.1219623882055798, 44: -1.2435175138560157, 45: -0.5149272227037109, 46: -0.27338280624577976, 47: -0.8234600840161935, 48: -0.2811079128134188, 49: -1.5361022962124746, 50: 0.01448894497627659, 51: -1.7936487418003788, 52: -0.19385631695423103, 53: 0.6972941097795758, 54: 1.091938802244823, 55: 1.7143802468690919, 56: -1.5562876468486921, 57: 0.7587252005544856, 58: 1.206282194115847, 59: 0.9805569848379664, 60: -0.9293238151062385, 61: 0.4117968311159789, 62: 1.8600556722271453, 63: -1.497273642356595, 64: 0.4763377002572523, 65: 1.1122904856590823, 66: -0.6965910156586035, 67: 0.5829703032859553, 68: -1.0708925079948706, 69: -0.8122085814317389, 70: -0.8170802468288473, 71: 0.19230769881891904, 72: -0.09098126603276784, 73: 0.9541152077220648, 74: -0.9402791142389414, 75: -0.1312756500924986, 76: 0.9610764636135062, 77: 0.5607771722349455, 78: -1.324641335581231, 79: 0.6652036849577115, 80: -0.4784178798045658, 81: 0.3853865378946492, 82: 0.30068041502290827, 83: 1.2193188839686289, 84: 0.11655993973536867, 85: -1.8538058715077061, 86: -1.3698597189791943, 87: 0.7311543854273908, 88: -0.25831633323761105, 89: 1.1379790600940631, 90: 0.27343881793102437, 91: -0.7490657359455261, 92: 1.0824067597232148, 93: -0.8073976815291606, 94: -2.052635508275344, 95: 2.063795551062848, 96: -1.9107488776221957, 97: 0.6364128589793191, 98: 0.9388517689586727, 99: 0.1470658631015921}: This may cause incompatibities (for instance between Python 2 and 3) and should ideally be avoided
DeprecationWarning)
test/core/result_test.py: 4 warnings
test/gw/detector/interferometer_test.py: 4 warnings
test/gw/detector/networks_test.py: 6 warnings
/opt/conda/envs/python37/lib/python3.7/site-packages/tables/atom.py:1224: DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
return pickle.loads(array.tostring())
test/core/prior/dict_test.py: 1 warning
test/core/prior/prior_test.py: 33 warnings
/opt/conda/envs/python37/lib/python3.7/site-packages/healpy/fitsfunc.py:369: UserWarning: If you are not specifying the input dtype and using the default np.float64 dtype of read_map(), please consider that it will change in a future version to None as to keep the same dtype of the input file: please explicitly set the dtype if it is important to you.
"If you are not specifying the input dtype and using the default "
test/core/prior/dict_test.py::TestLoadPrior::test_load_prior_with_float
test/gw/prior_test.py::TestPackagedPriors::test_all
/opt/conda/envs/python37/lib/python3.7/encodings/unicode_escape.py:26: DeprecationWarning: invalid escape sequence '\o'
return codecs.unicode_escape_decode(input, self.errors)[0]
test/core/prior/dict_test.py::TestLoadPrior::test_load_prior_with_parentheses
/opt/conda/envs/python37/lib/python3.7/encodings/unicode_escape.py:26: DeprecationWarning: invalid escape sequence '\l'
return codecs.unicode_escape_decode(input, self.errors)[0]
test/core/prior/prior_test.py::TestPriorClasses::test_cdf_zero_below_domain
/builds/lscsoft/bilby/bilby/core/prior/analytical.py:156: RuntimeWarning: invalid value encountered in log
_cdf = (np.log(val / self.minimum) /
test/core/prior/prior_test.py::TestPriorClasses::test_many_sample_rescaling
test/core/prior/prior_test.py::TestPriorClasses::test_sampling_many
/builds/lscsoft/bilby/bilby/gw/prior.py:1049: RuntimeWarning: invalid value encountered in true_divide
cdfs = np.cumsum(pdfs) / np.sum(pdfs)
test/core/prior/prior_test.py::TestPriorClasses::test_probability_above_domain
test/core/prior/prior_test.py::TestPriorClasses::test_probability_below_domain
/builds/lscsoft/bilby/bilby/core/prior/analytical.py:59: RuntimeWarning: invalid value encountered in multiply
return np.nan_to_num(np.multiply(at_peak, np.inf))
test/core/prior/prior_test.py::TestPriorClasses::test_probability_in_domain
/builds/lscsoft/bilby/bilby/core/prior/analytical.py:1110: RuntimeWarning: overflow encountered in exp
2. * np.log(1. + np.exp(-(val - self.mu) / self.scale)) - np.log(self.scale)
test/core/prior/prior_test.py::TestPriorClasses::test_probability_in_domain
/builds/lscsoft/bilby/bilby/gw/prior.py:1221: RuntimeWarning: divide by zero encountered in log
lnprob[i] += np.log(self.distance_pdf(dist) * dist ** 2)
test/core/prior/prior_test.py::TestPriorClasses::test_probability_surrounding_domain
/opt/conda/envs/python37/lib/python3.7/site-packages/numpy/core/function_base.py:144: RuntimeWarning: invalid value encountered in multiply
y *= step
test/core/prior/prior_test.py::TestPriorClasses::test_probability_surrounding_domain
/opt/conda/envs/python37/lib/python3.7/site-packages/numpy/core/function_base.py:154: RuntimeWarning: invalid value encountered in add
y += start
test/core/prior/slabspike_test.py: 80 warnings
<string>:6: DeprecationWarning: Calling nonzero on 0d arrays is deprecated, as it behaves surprisingly. Use `atleast_1d(cond).nonzero()` if the old behavior was intended. If the context of this warning is of the form `arr[nonzero(cond)]`, just use `arr[cond]`.
test/core/prior/slabspike_test.py::TestSlabSpikeClasses::test_ln_prob_on_slab
/builds/lscsoft/bilby/bilby/core/prior/base.py:157: RuntimeWarning: divide by zero encountered in log
return np.log(self.prob(val))
test/core/sampler/sampler_run_test.py: 30 warnings
<string>:6: DeprecationWarning: `np.alen` is deprecated, use `len` instead
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_dynamic_dynesty
/opt/conda/envs/python37/lib/python3.7/site-packages/dynesty/dynesty.py:806: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.intersect1d(periodic, reflective) != 0:
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_dynesty
/opt/conda/envs/python37/lib/python3.7/site-packages/dynesty/dynesty.py:379: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.intersect1d(periodic, reflective) != 0:
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
/opt/conda/envs/python37/lib/python3.7/site-packages/emcee/ensemble.py:86: DeprecationWarning: The 'a' argument is deprecated, use 'moves' instead
"The 'a' argument is deprecated, use 'moves' instead"
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
/opt/conda/envs/python37/lib/python3.7/site-packages/emcee/ensemble.py:96: DeprecationWarning: The 'live_dangerously' argument is deprecated
"The 'live_dangerously' argument is deprecated"
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
/opt/conda/envs/python37/lib/python3.7/site-packages/emcee/utils.py:23: DeprecationWarning: 'blobs' is deprecated. Use 'get_blobs()' instead.
deprecation_warning(msg)
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
/opt/conda/envs/python37/lib/python3.7/site-packages/emcee/ensemble.py:297: DeprecationWarning: The 'thin' argument is deprecated. Use 'thin_by' instead.
"The 'thin' argument is deprecated. " "Use 'thin_by' instead."
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_emcee
/opt/conda/envs/python37/lib/python3.7/site-packages/emcee/utils.py:23: DeprecationWarning: 'chain' is deprecated. Use 'get_chain()' instead.
deprecation_warning(msg)
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_pymc3
/opt/conda/envs/python37/lib/python3.7/site-packages/pymc3/distributions/continuous.py:482: DeprecationWarning: sd is deprecated, use sigma instead
warnings.warn("sd is deprecated, use sigma instead", DeprecationWarning)
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_pymc3
/opt/conda/envs/python37/lib/python3.7/site-packages/pymc3/sampling.py:468: FutureWarning: In an upcoming release, pm.sample will return an `arviz.InferenceData` object instead of a `MultiTrace` by default. You can pass return_inferencedata=True or return_inferencedata=False to be safe and silence this warning.
FutureWarning,
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_pymc3
/opt/conda/envs/python37/lib/python3.7/site-packages/pymc3/sampling.py:642: UserWarning: The number of samples is too small to check convergence reliably.
warnings.warn("The number of samples is too small to check convergence reliably.")
test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_pymultinest
/opt/conda/envs/python37/lib/python3.7/site-packages/pymultinest/run.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
nargs = len(inspect.getargspec(LogLikelihood).args) - inspect.ismethod(LogLikelihood)
test/gw/utils_test.py::TestGWUtils::test_read_frame_file
/opt/conda/envs/python37/lib/python3.7/site-packages/gwpy/types/series.py:132: UserWarning: xindex was given to TimeSeries(), x0 will be ignored
% cls.__name__)
test/gw/waveform_generator_test.py: 16 warnings
/opt/conda/envs/python37/lib/python3.7/unittest/case.py:858: DeprecationWarning: elementwise comparison failed; this will raise an error in the future.
if not first != second:
test/gw/detector/interferometer_test.py::TestInterferometer::test_get_detector_response_default_behaviour
test/gw/detector/interferometer_test.py::TestInterferometer::test_get_detector_response_multiple_modes
test/gw/detector/interferometer_test.py::TestInterferometer::test_get_detector_response_with_dt
/builds/lscsoft/bilby/bilby/gw/detector/interferometer.py:322: ComplexWarning: Casting complex values to real discards the imaginary part
-1j * 2 * np.pi * dt * self.strain_data.frequency_array[self.strain_data.frequency_mask])
test/gw/detector/interferometer_test.py::TestInterferometer::test_to_and_from_hdf5_loading
/opt/conda/envs/python37/lib/python3.7/site-packages/deepdish/io/hdf5io.py:170: DeprecationWarning: (deepdish.io.save) Pickling Interferometer(name='name', power_spectral_density=PowerSpectralDensity(psd_file='/builds/lscsoft/bilby/bilby/gw/detector/noise_curves/aLIGO_ZERO_DET_high_P_psd.txt', asd_file='None'), minimum_frequency=10.0, maximum_frequency=20.0, length=30.0, latitude=1.0, longitude=2.0, elevation=3.0, xarm_azimuth=4.0, yarm_azimuth=5.0, xarm_tilt=0.0, yarm_tilt=0.0): This may cause incompatibities (for instance between Python 2 and 3) and should ideally be avoided
DeprecationWarning)
test/gw/detector/interferometer_test.py::TestInterferometer::test_to_and_from_hdf5_wrong_class
test/gw/detector/networks_test.py::TestInterferometerList::test_to_and_from_hdf5_wrong_class
/opt/conda/envs/python37/lib/python3.7/site-packages/deepdish/io/hdf5io.py:170: DeprecationWarning: (deepdish.io.save) Pickling PowerSpectralDensity(psd_file='/builds/lscsoft/bilby/bilby/gw/detector/noise_curves/aLIGO_ZERO_DET_high_P_psd.txt', asd_file='None'): This may cause incompatibities (for instance between Python 2 and 3) and should ideally be avoided
DeprecationWarning)
test/gw/detector/networks_test.py::TestInterferometerList::test_to_and_from_hdf5_loading
/opt/conda/envs/python37/lib/python3.7/site-packages/deepdish/io/hdf5io.py:170: DeprecationWarning: (deepdish.io.save) Pickling Interferometer(name='name1', power_spectral_density=PowerSpectralDensity(psd_file='/builds/lscsoft/bilby/bilby/gw/detector/noise_curves/aLIGO_ZERO_DET_high_P_psd.txt', asd_file='None'), minimum_frequency=10.0, maximum_frequency=20.0, length=30.0, latitude=1.0, longitude=2.0, elevation=3.0, xarm_azimuth=4.0, yarm_azimuth=5.0, xarm_tilt=0.0, yarm_tilt=0.0): This may cause incompatibities (for instance between Python 2 and 3) and should ideally be avoided
DeprecationWarning)
test/gw/detector/networks_test.py::TestInterferometerList::test_to_and_from_hdf5_loading
/opt/conda/envs/python37/lib/python3.7/site-packages/deepdish/io/hdf5io.py:170: DeprecationWarning: (deepdish.io.save) Pickling Interferometer(name='name2', power_spectral_density=PowerSpectralDensity(psd_file='/builds/lscsoft/bilby/bilby/gw/detector/noise_curves/aLIGO_ZERO_DET_high_P_psd.txt', asd_file='None'), minimum_frequency=10.0, maximum_frequency=20.0, length=30.0, latitude=1.0, longitude=2.0, elevation=3.0, xarm_azimuth=4.0, yarm_azimuth=5.0, xarm_tilt=0.0, yarm_tilt=0.0): This may cause incompatibities (for instance between Python 2 and 3) and should ideally be avoided
DeprecationWarning)
test/integration/noise_realisation_test.py::TestNoiseRealisation::test_noise_normalisation
/builds/lscsoft/bilby/test/integration/noise_realisation_test.py:50: ComplexWarning: Casting complex values to real discards the imaginary part
snr[x] = interferometer.matched_filter_snr(signal=muf)
-- Docs: https://docs.pytest.org/en/stable/warnings.html
----------- coverage: platform linux, python 3.7.8-final-0 -----------
Name Stmts Miss Cover
-----------------------------------------------------------
bilby/__init__.py 9 1 89%
bilby/core/__init__.py 2 0 100%
bilby/core/grid.py 179 23 87%
bilby/core/likelihood.py 227 20 91%
bilby/core/prior/__init__.py 7 0 100%
bilby/core/prior/analytical.py 411 63 85%
bilby/core/prior/base.py 193 18 91%
bilby/core/prior/conditional.py 103 15 85%
bilby/core/prior/dict.py 391 57 85%
bilby/core/prior/interpolated.py 81 11 86%
bilby/core/prior/joint.py 375 59 84%
bilby/core/prior/slabspike.py 59 0 100%
bilby/core/result.py 807 246 70%
bilby/core/sampler/__init__.py 103 33 68%
bilby/core/sampler/base_sampler.py 273 52 81%
bilby/core/sampler/cpnest.py 131 53 60%
bilby/core/sampler/dnest4.py 172 17 90%
bilby/core/sampler/dynamic_dynesty.py 72 6 92%
bilby/core/sampler/dynesty.py 457 119 74%
bilby/core/sampler/emcee.py 212 36 83%
bilby/core/sampler/fake_sampler.py 31 22 29%
bilby/core/sampler/kombine.py 91 8 91%
bilby/core/sampler/nestle.py 45 10 78%
bilby/core/sampler/polychord.py 49 1 98%
bilby/core/sampler/proposal.py 172 26 85%
bilby/core/sampler/ptemcee.py 358 111 69%
bilby/core/sampler/ptmcmc.py 86 13 85%
bilby/core/sampler/pymc3.py 438 266 39%
bilby/core/sampler/pymultinest.py 119 11 91%
bilby/core/sampler/ultranest.py 155 16 90%
bilby/core/series.py 52 0 100%
bilby/core/utils.py 528 185 65%
bilby/gw/__init__.py 4 0 100%
bilby/gw/conversion.py 400 143 64%
bilby/gw/cosmology.py 32 4 88%
bilby/gw/detector/__init__.py 100 86 14%
bilby/gw/detector/calibration.py 38 0 100%
bilby/gw/detector/geometry.py 105 0 100%
bilby/gw/detector/interferometer.py 206 68 67%
bilby/gw/detector/networks.py 177 60 66%
bilby/gw/detector/psd.py 133 7 95%
bilby/gw/detector/strain_data.py 230 86 63%
bilby/gw/eos/__init__.py 2 0 100%
bilby/gw/eos/eos.py 351 124 65%
bilby/gw/eos/tov_solver.py 50 0 100%
bilby/gw/likelihood.py 603 220 64%
bilby/gw/prior.py 564 130 77%
bilby/gw/result.py 343 280 18%
bilby/gw/sampler/__init__.py 2 0 100%
bilby/gw/sampler/proposal.py 26 0 100%
bilby/gw/source.py 148 43 71%
bilby/gw/utils.py 343 116 66%
bilby/gw/waveform_generator.py 86 3 97%
bilby/hyper/__init__.py 1 0 100%
bilby/hyper/likelihood.py 58 13 78%
bilby/hyper/model.py 26 14 46%
-----------------------------------------------------------
TOTAL 10416 2895 72%
============================= slowest 10 durations =============================
831.32s call test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_dnest4
74.68s call test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_kombine
74.51s call test/gw/likelihood_test.py::TestPhaseMarginalization::test_phase_marginalisation
70.90s call test/gw/likelihood_test.py::TestTimePhaseMarginalization::test_phase_marginalisation
51.86s call test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_pymc3
26.63s call test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_ptemcee
24.69s call test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_cpnest
18.77s call test/integration/noise_realisation_test.py::TestNoiseRealisation::test_noise_normalisation
17.78s call test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_dynesty
13.99s call test/core/prior/prior_test.py::TestPriorClasses::test_sampling_many
=========================== short test summary info ============================
FAILED test/core/sampler/sampler_run_test.py::TestRunningSamplers::test_run_ultranest
=========== 1 failed, 843 passed, 262 warnings in 1518.59s (0:25:18) ===========
section_end:1607575524:step_script
[0Ksection_start:1607575524:cleanup_file_variables
[0K[0K[36;1mCleaning up file based variables[0;m
[0;msection_end:1607575525:cleanup_file_variables
[0K[31;1mERROR: Job failed: exit code 1
[0;m