peanutfun
commented
1 year ago I dug into this a bit and ran the tests on my machine from the latest develop with two different environments.
TLDR
- Tests are indeed slower with latest dependencies (7:58 vs 5:28, 45% increase)
- Tests on my machine run a whole lot faster than on Jenkins (5:28 / 7:58 vs ~8 / ~13 for unit and integration tests together)
- Many tests with increased runtime are related to LitPop. Might there be a regression in the latest release of an I/O package like
rasterioorfiona? climada/test/test_api_client.py::TestClient::test_purge_cacheis by far the slowest test (30sec) and should be improved
Details
First, I built a fresh environment from the current dependency set.
Current Environment
(climada_test) ➜ climada_python git:(develop) ✗ mamba env export
name: climada_test
channels:
- conda-forge
- defaults
dependencies:
- affine=2.4.0=pyhd8ed1ab_0
- attrs=23.1.0=pyh71513ae_1
- aws-c-auth=0.6.28=h826ccd7_5
- aws-c-cal=0.5.27=h92f41cd_0
- aws-c-common=0.8.20=hb547adb_0
- aws-c-compression=0.2.17=h28992cd_0
- aws-c-event-stream=0.3.0=h7f691c3_6
- aws-c-http=0.7.8=he2e4218_4
- aws-c-io=0.13.26=h379bc4c_0
- aws-c-mqtt=0.8.13=hdb3a981_2
- aws-c-s3=0.3.4=h02343f9_5
- aws-c-sdkutils=0.1.10=h28992cd_0
- aws-checksums=0.1.16=h28992cd_0
- aws-crt-cpp=0.20.2=h37dd33e_9
- aws-sdk-cpp=1.10.57=h9b90b14_14
- blosc=1.21.4=hc338f07_0
- bokeh=3.1.1=pyhd8ed1ab_0
- boost-cpp=1.78.0=hf1d6563_2
- bottleneck=1.3.7=py39h4d8bf0d_0
- branca=0.6.0=pyhd8ed1ab_0
- brotli=1.0.9=h1a8c8d9_8
- brotli-bin=1.0.9=h1a8c8d9_8
- bzip2=1.0.8=h3422bc3_4
- c-ares=1.19.1=hb547adb_0
- ca-certificates=2023.5.7=hf0a4a13_0
- cached-property=1.5.2=hd8ed1ab_1
- cached_property=1.5.2=pyha770c72_1
- cairo=1.16.0=h73a0509_1014
- cartopy=0.21.1=py39hda17d7f_0
- certifi=2023.5.7=pyhd8ed1ab_0
- cffi=1.15.1=py39h7e6b969_3
- cfgrib=0.9.9.1=pyhd8ed1ab_2
- cfitsio=4.2.0=h2f961c4_0
- cftime=1.6.2=py39h4d8bf0d_1
- charset-normalizer=3.1.0=pyhd8ed1ab_0
- click=8.1.3=unix_pyhd8ed1ab_2
- click-plugins=1.1.1=py_0
- cligj=0.7.2=pyhd8ed1ab_1
- cloudpickle=2.2.1=pyhd8ed1ab_0
- colorama=0.4.6=pyhd8ed1ab_0
- contextily=1.3.0=pyhd8ed1ab_0
- contourpy=1.1.0=py39hbd775c9_0
- curl=8.1.2=h912dcd9_0
- cycler=0.11.0=pyhd8ed1ab_0
- cytoolz=0.12.0=py39h02fc5c5_1
- dask=2023.6.0=pyhd8ed1ab_0
- dask-core=2023.6.0=pyhd8ed1ab_0
- dill=0.3.6=pyhd8ed1ab_1
- distributed=2023.6.0=pyhd8ed1ab_0
- eccodes=2.27.1=hcbf30ee_0
- et_xmlfile=1.1.0=pyhd8ed1ab_0
- expat=2.5.0=hb7217d7_1
- findlibs=0.0.5=pyhd8ed1ab_0
- fiona=1.9.1=py39h9e5269e_0
- folium=0.14.0=pyhd8ed1ab_0
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
- font-ttf-inconsolata=3.000=h77eed37_0
- font-ttf-source-code-pro=2.038=h77eed37_0
- font-ttf-ubuntu=0.83=hab24e00_0
- fontconfig=2.14.2=h82840c6_0
- fonts-conda-ecosystem=1=0
- fonts-conda-forge=1=0
- fonttools=4.40.0=py39h0f82c59_0
- freetype=2.12.1=hd633e50_1
- freexl=1.0.6=h1a8c8d9_1
- fsspec=2023.6.0=pyh1a96a4e_0
- gdal=3.6.2=py39h766d3fc_6
- geographiclib=1.52=pyhd8ed1ab_0
- geopandas=0.13.2=pyhd8ed1ab_1
- geopandas-base=0.13.2=pyha770c72_1
- geopy=2.3.0=pyhd8ed1ab_0
- geos=3.11.1=hb7217d7_0
- geotiff=1.7.1=hdcdc974_6
- gettext=0.21.1=h0186832_0
- gflags=2.2.2=hc88da5d_1004
- giflib=5.2.1=h1a8c8d9_3
- glog=0.6.0=h6da1cb0_0
- h5py=3.8.0=nompi_py39hc9149d8_100
- haversine=2.8.0=pyhd8ed1ab_0
- hdf4=4.2.15=h1a38d6a_5
- hdf5=1.12.2=nompi_ha7af310_101
- icu=70.1=h6b3803e_0
- idna=3.4=pyhd8ed1ab_0
- importlib-metadata=6.7.0=pyha770c72_0
- importlib-resources=5.12.0=pyhd8ed1ab_0
- importlib_metadata=6.7.0=hd8ed1ab_0
- importlib_resources=5.12.0=pyhd8ed1ab_0
- jasper=2.0.33=hc3cd1e9_1
- jinja2=3.1.2=pyhd8ed1ab_1
- joblib=1.2.0=pyhd8ed1ab_0
- jpeg=9e=h1a8c8d9_3
- json-c=0.16=hc449e50_0
- kealib=1.5.0=hfd766a6_0
- kiwisolver=1.4.4=py39haaf3ac1_1
- krb5=1.20.1=h69eda48_0
- lcms2=2.15=h481adae_0
- lerc=4.0.0=h9a09cb3_0
- libabseil=20230125.2=cxx17_h13dd4ca_2
- libaec=1.0.6=hb7217d7_1
- libarrow=12.0.0=hbfb5349_8_cpu
- libblas=3.9.0=17_osxarm64_openblas
- libbrotlicommon=1.0.9=h1a8c8d9_8
- libbrotlidec=1.0.9=h1a8c8d9_8
- libbrotlienc=1.0.9=h1a8c8d9_8
- libcblas=3.9.0=17_osxarm64_openblas
- libcrc32c=1.1.2=hbdafb3b_0
- libcurl=8.1.2=h912dcd9_0
- libcxx=16.0.6=h4653b0c_0
- libdeflate=1.17=h1a8c8d9_0
- libedit=3.1.20191231=hc8eb9b7_2
- libev=4.33=h642e427_1
- libevent=2.1.12=h2757513_1
- libexpat=2.5.0=hb7217d7_1
- libffi=3.4.2=h3422bc3_5
- libgdal=3.6.2=h90a2855_6
- libgfortran=5.0.0=12_2_0_hd922786_31
- libgfortran5=12.2.0=h0eea778_31
- libglib=2.76.3=h24e9cb9_0
- libgoogle-cloud=2.11.0=h5263b79_1
- libgrpc=1.55.1=hc384137_1
- libiconv=1.17=he4db4b2_0
- libkml=1.3.0=h41464e4_1015
- liblapack=3.9.0=17_osxarm64_openblas
- libllvm14=14.0.6=hd1a9a77_3
- libnetcdf=4.8.1=nompi_h2510be2_106
- libnghttp2=1.52.0=hae82a92_0
- libopenblas=0.3.23=openmp_hc731615_0
- libpng=1.6.39=h76d750c_0
- libpq=15.2=h1a28acd_0
- libprotobuf=4.23.2=hf32f9b9_5
- librttopo=1.1.0=h844f84d_12
- libspatialindex=1.9.3=hbdafb3b_4
- libspatialite=5.0.1=h14115fc_23
- libsqlite=3.42.0=hb31c410_0
- libssh2=1.11.0=h7a5bd25_0
- libthrift=0.18.1=ha061701_2
- libtiff=4.5.0=h5dffbdd_2
- libutf8proc=2.8.0=h1a8c8d9_0
- libwebp-base=1.3.0=h1a8c8d9_0
- libxcb=1.13=h9b22ae9_1004
- libxml2=2.10.3=h67585b2_4
- libxslt=1.1.37=h1bd8bc4_0
- libzip=1.9.2=h76ab92c_1
- libzlib=1.2.13=h53f4e23_5
- llvm-openmp=16.0.6=h1c12783_0
- llvmlite=0.40.0=py39hbad4f83_0
- locket=1.0.0=pyhd8ed1ab_0
- lxml=4.9.2=py39h0520ce3_0
- lz4=4.3.2=py39hb35ce34_0
- lz4-c=1.9.4=hb7217d7_0
- mapclassify=2.5.0=pyhd8ed1ab_1
- markupsafe=2.1.3=py39h0f82c59_0
- matplotlib=3.7.1=py39hdf13c20_0
- matplotlib-base=3.7.1=py39h35e9e80_0
- mercantile=1.2.1=pyhd8ed1ab_0
- msgpack-python=1.0.5=py39haaf3ac1_0
- multiprocess=0.70.14=py39h02fc5c5_3
- munch=3.0.0=pyhd8ed1ab_0
- munkres=1.1.4=pyh9f0ad1d_0
- ncurses=6.4=h7ea286d_0
- netcdf4=1.6.2=nompi_py39h8ded8ba_100
- networkx=3.1=pyhd8ed1ab_0
- nspr=4.35=hb7217d7_0
- nss=3.89=h789eff7_0
- numba=0.57.0=py39he8ed757_2
- numexpr=2.8.4=py39hd28f0be_0
- numpy=1.24.3=py39h485cf63_0
- openjpeg=2.5.0=hbc2ba62_2
- openpyxl=3.1.2=py39h0f82c59_0
- openssl=3.1.1=h53f4e23_1
- orc=1.8.4=h13b7ede_0
- packaging=23.1=pyhd8ed1ab_0
- pandas=1.5.3=py39hde7b980_1
- pandas-datareader=0.10.0=pyh6c4a22f_0
- partd=1.4.0=pyhd8ed1ab_0
- pathos=0.3.0=pyhd8ed1ab_0
- patsy=0.5.3=pyhd8ed1ab_0
- pcre2=10.40=hb34f9b4_0
- pillow=9.4.0=py39h8bd98a6_1
- pint=0.22=pyhd8ed1ab_1
- pip=23.1.2=pyhd8ed1ab_0
- pixman=0.40.0=h27ca646_0
- platformdirs=3.8.0=pyhd8ed1ab_0
- pooch=1.7.0=pyha770c72_3
- poppler=23.01.0=h9564b9f_0
- poppler-data=0.4.12=hd8ed1ab_0
- postgresql=15.2=h45c140d_0
- pox=0.3.2=pyhd8ed1ab_0
- ppft=1.7.6.6=pyhd8ed1ab_0
- proj=9.1.1=h13f728c_2
- psutil=5.9.5=py39h02fc5c5_0
- pthread-stubs=0.4=h27ca646_1001
- pyarrow=12.0.0=py39hf40061a_8_cpu
- pycountry=22.3.5=pyhd8ed1ab_0
- pycparser=2.21=pyhd8ed1ab_0
- pyepsg=0.4.0=py_0
- pyparsing=3.1.0=pyhd8ed1ab_0
- pyproj=3.5.0=py39hd68364f_0
- pyshp=2.3.1=pyhd8ed1ab_0
- pysocks=1.7.1=pyha2e5f31_6
- pytables=3.7.0=py39h8abd629_3
- python=3.9.16=hea58f1e_0_cpython
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python-eccodes=1.5.1=py39h4d8bf0d_0
- python_abi=3.9=3_cp39
- pytz=2023.3=pyhd8ed1ab_0
- pyxlsb=1.0.10=pyhd8ed1ab_0
- pyyaml=6.0=py39h02fc5c5_5
- rasterio=1.3.6=py39h157378c_0
- re2=2023.03.02=hc5e2d97_0
- readline=8.2=h92ec313_1
- requests=2.31.0=pyhd8ed1ab_0
- rtree=1.0.1=py39hb28b0e7_1
- salib=1.4.7=pyhd8ed1ab_0
- scikit-learn=1.2.2=py39hd5c4a62_2
- scipy=1.11.0=py39ha6b2cbd_0
- setuptools=68.0.0=pyhd8ed1ab_0
- shapely=2.0.1=py39h472ea82_0
- six=1.16.0=pyh6c4a22f_0
- snappy=1.1.10=h17c5cce_0
- snuggs=1.4.7=py_0
- sortedcontainers=2.4.0=pyhd8ed1ab_0
- sparse=0.14.0=pyhd8ed1ab_0
- sqlite=3.42.0=h203b68d_0
- statsmodels=0.14.0=py39h8a366b7_1
- tabulate=0.9.0=pyhd8ed1ab_1
- tblib=1.7.0=pyhd8ed1ab_0
- threadpoolctl=3.1.0=pyh8a188c0_0
- tiledb=2.13.2=h9bd36d0_0
- tk=8.6.12=he1e0b03_0
- toolz=0.12.0=pyhd8ed1ab_0
- tornado=6.3.2=py39h0f82c59_0
- tqdm=4.65.0=pyhd8ed1ab_1
- typing-extensions=4.6.3=hd8ed1ab_0
- typing_extensions=4.6.3=pyha770c72_0
- tzcode=2023c=h1a8c8d9_0
- tzdata=2023c=h71feb2d_0
- unicodedata2=15.0.0=py39h02fc5c5_0
- unittest-xml-reporting=3.2.0=pyhd8ed1ab_0
- urllib3=2.0.3=pyhd8ed1ab_0
- wheel=0.40.0=pyhd8ed1ab_0
- xarray=2023.5.0=pyhd8ed1ab_0
- xerces-c=3.2.4=h627aa08_1
- xlrd=2.0.1=pyhd8ed1ab_3
- xlsxwriter=3.1.2=pyhd8ed1ab_0
- xorg-libxau=1.0.11=hb547adb_0
- xorg-libxdmcp=1.1.3=h27ca646_0
- xyzservices=2023.5.0=pyhd8ed1ab_1
- xz=5.2.6=h57fd34a_0
- yaml=0.2.5=h3422bc3_2
- zict=3.0.0=pyhd8ed1ab_0
- zipp=3.15.0=pyhd8ed1ab_0
- zlib=1.2.13=h53f4e23_5
- zstd=1.5.2=hf913c23_6
- pip:
- appnope==0.1.3
- astroid==2.5
- asttokens==2.2.1
- backcall==0.2.0
- coverage==7.2.7
- decorator==5.1.1
- deprecation==2.1.0
- exceptiongroup==1.1.1
- executing==1.2.0
- iniconfig==2.0.0
- ipython==8.14.0
- isort==5.12.0
- jedi==0.18.2
- lazy-object-proxy==1.9.0
- matplotlib-inline==0.1.6
- mccabe==0.6.1
- overpy==0.6
- parso==0.8.3
- peewee==3.16.2
- pexpect==4.8.0
- pickleshare==0.7.5
- pluggy==1.2.0
- prompt-toolkit==3.0.38
- ptyprocess==0.7.0
- pure-eval==0.2.2
- pygments==2.15.1
- pylint==2.7.1
- pytest==7.4.0
- pytest-cov==4.1.0
- pytest-subtests==0.11.0
- stack-data==0.6.2
- toml==0.10.2
- tomli==2.0.1
- traitlets==5.9.0
- wcwidth==0.2.6
- wrapt==1.12.1
- xmlrunner==1.7.7
prefix: /Users/ldr.riedel/mambaforge/envs/climada_test
Then I executed pytest for all tests and displayed the durations:
(climada_test) ➜ climada_python git:(develop) ✗ pytest --durations=0 --durations-min=1 climada/
================================================== test session starts ==================================================
platform darwin -- Python 3.9.16, pytest-7.4.0, pluggy-1.2.0
rootdir: /Users/ldr.riedel/coding/climada_python
plugins: subtests-0.11.0, cov-4.1.0
collected 725 items
climada/engine/test/test_cost_benefit.py ...................... [ 3%]
climada/engine/test/test_forecast.py ... [ 3%]
climada/engine/test/test_impact.py ........................................ [ 8%]
climada/engine/test/test_impact_calc.py ............................ [ 12%]
climada/engine/test/test_impact_data.py ........... [ 14%]
climada/engine/unsequa/test/test_unsequa.py ................ [ 16%]
climada/entity/disc_rates/test/test_base.py ............. [ 18%]
climada/entity/exposures/test/test_base.py .......................... [ 21%]
climada/entity/exposures/test/test_litpop.py ...................... [ 24%]
climada/entity/exposures/test/test_mat.py ......... [ 26%]
climada/entity/exposures/test/test_nightlight.py ..... [ 26%]
climada/entity/impact_funcs/test/test_base.py ... [ 27%]
climada/entity/impact_funcs/test/test_imp_fun_set.py ....................... [ 30%]
climada/entity/impact_funcs/test/test_tc.py ........ [ 31%]
climada/entity/impact_funcs/test/test_ws.py . [ 31%]
climada/entity/measures/test/test_base.py ........... [ 33%]
climada/entity/measures/test/test_meas_set.py ..................... [ 36%]
climada/entity/test/test_entity.py ...... [ 36%]
climada/entity/test/test_tag.py ... [ 37%]
climada/hazard/centroids/test/test_centr.py ........ [ 38%]
climada/hazard/centroids/test/test_vec_ras.py .................................... [ 43%]
climada/hazard/test/test_base.py ........................................................ [ 51%]
climada/hazard/test/test_base_xarray.py ............... [ 53%]
climada/hazard/test/test_storm_europe.py ....... [ 54%]
climada/hazard/test/test_tag.py ........ [ 55%]
climada/hazard/test/test_tc_cc.py .. [ 55%]
climada/hazard/test/test_tc_tracks.py ........................................ [ 61%]
climada/hazard/test/test_tc_tracks_synth.py .................. [ 63%]
climada/hazard/test/test_trop_cyclone.py ................ [ 65%]
climada/test/test_api_client.py ................ [ 68%]
climada/test/test_calibration.py . [ 68%]
climada/test/test_engine.py ..... [ 68%]
climada/test/test_hazard.py ........... [ 70%]
climada/test/test_litpop_integr.py .................. [ 72%]
climada/test/test_multi_processing.py . [ 72%]
climada/test/test_nightlight.py ...... [ 73%]
climada/test/test_plot.py ........... [ 75%]
climada/test/test_util.py . [ 75%]
climada/util/test/test__init__.py . [ 75%]
climada/util/test/test_checker.py .... [ 76%]
climada/util/test/test_config.py ... [ 76%]
climada/util/test/test_coordinates.py ........................................................................... [ 86%]
.. [ 87%]
climada/util/test/test_dates_times.py ..... [ 87%]
climada/util/test/test_dwd_icon.py ..... [ 88%]
climada/util/test/test_files.py ............ [ 90%]
climada/util/test/test_finance.py ............... [ 92%]
climada/util/test/test_hdf5.py ...... [ 93%]
climada/util/test/test_lines_polys_handler.py ......................... [ 96%]
climada/util/test/test_plot.py ....... [ 97%]
climada/util/test/test_save.py .. [ 97%]
climada/util/test/test_select.py . [ 97%]
climada/util/test/test_value_representation.py ......... [ 99%]
climada/util/test/test_yearsets.py ...... [100%]
=================================================== slowest durations ===================================================
32.03s call climada/test/test_api_client.py::TestClient::test_purge_cache
17.45s call climada/test/test_litpop_integr.py::TestAdmin1::test_calc_admin1
16.08s call climada/test/test_litpop_integr.py::TestAdmin1::test_from_countries_calc_admin1_pass
15.04s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_switzerland300_admin1_pc2016_pass
13.68s call climada/test/test_calibration.py::TestCalib::test_calib_instance
12.36s call climada/test/test_plot.py::TestPlotter::test_cost_benefit
11.90s call climada/util/test/test_plot.py::TestPlots::test_geo_scatter_categorical
11.26s call climada/test/test_api_client.py::TestClient::test_download_file
10.44s call climada/test/test_litpop_integr.py::TestAdmin1::test_brandenburg
10.09s call climada/test/test_nightlight.py::TestNightlight::test_download_nl_files
10.09s call climada/test/test_plot.py::TestPlotter::test_ctx_osm_pass
9.77s call climada/test/test_nightlight.py::TestNightlight::test_read_bm_files
7.11s call climada/test/test_api_client.py::TestClient::test_get_hazard_fails
6.98s call climada/hazard/test/test_tc_tracks.py::TestFuncs::test_track_land_params
6.71s call climada/test/test_nightlight.py::TestNightlight::test_unzip_tif_to_py
6.20s call climada/test/test_plot.py::TestPlotter::test_exposures_value_pass
6.19s call climada/util/test/test_coordinates.py::TestGetGeodata::test_get_admin1_geometries_fail
6.18s call climada/util/test/test_coordinates.py::TestGetGeodata::test_get_admin1_info_pass
5.92s call climada/util/test/test_coordinates.py::TestGetGeodata::test_get_admin1_geometries_pass
5.72s call climada/entity/exposures/test/test_litpop.py::TestLitPop::test_grp_read_pass
5.17s call climada/test/test_plot.py::TestPlotter::test_hazard_intensity_pass
5.16s call climada/test/test_hazard.py::TestStormEurope::test_from_footprints
5.06s call climada/engine/test/test_forecast.py::TestPlot::test_Forecast_plot
4.98s call climada/test/test_hazard.py::TestTcTracks::test_ibtracs_with_basin
4.47s call climada/util/test/test_coordinates.py::TestGetGeodata::test_get_land_geometry_country_pass
4.28s call climada/test/test_engine.py::TestEmdatProcessing::test_emdat_damage_yearlysum
3.99s call climada/util/test/test_coordinates.py::TestGetGeodata::test_on_land_pass
3.89s call climada/util/test/test_coordinates.py::TestGetGeodata::test_country_code_pass
3.76s call climada/hazard/test/test_storm_europe.py::TestReader::test_generate_prob_storms
3.49s call climada/test/test_engine.py::TestEmdatToImpact::test_emdat_to_impact_scale
3.40s call climada/entity/exposures/test/test_base.py::TestFuncs::test_assign_large_hazard_subset_pass
3.37s call climada/test/test_hazard.py::TestCentroids::test_read_raster_pool_pass
3.34s call climada/test/test_engine.py::TestGDPScaling::test_scale_impact2refyear
3.33s call climada/hazard/test/test_tc_tracks_synth.py::TestSynth::test_random_walk_decay_pass
3.28s call climada/test/test_hazard.py::TestTcTracks::test_cutoff_tracks
3.27s call climada/test/test_hazard.py::TestCentroids::test_read_write_raster_pass
3.24s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_BLM150_pass
3.24s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_netherlands150_pass
3.22s call climada/test/test_hazard.py::TestBase::test_reproject_raster_pass
3.20s call climada/test/test_hazard.py::TestBase::test_raster_to_vector_pass
3.09s call climada/util/test/test_coordinates.py::TestGetGeodata::test_get_country_geometries_fail
3.08s call climada/entity/exposures/test/test_base.py::TestAddSea::test_add_sea_pass
3.00s call climada/engine/test/test_impact.py::TestImpactReg::test_admin0
2.99s call climada/hazard/centroids/test/test_vec_ras.py::TestVector::test_on_land
2.91s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_from_shape_and_countries_zurich_pass
2.83s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_switzerland300_pass
2.80s call climada/util/test/test_coordinates.py::TestGetGeodata::test_get_country_geometries_country_norway_pass
2.62s call climada/test/test_hazard.py::TestBase::test_write_read_pass
2.54s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_suriname30_nfw_pass
2.43s call climada/util/test/test_plot.py::TestPlots::test_geo_im_from_array
2.37s call climada/test/test_plot.py::TestPlotter::test_hazard_centroids
2.32s call climada/util/test/test_coordinates.py::TestRasterIO::test_transform_raster_pass
2.28s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_from_nightlight_intensity
2.24s call climada/test/test_hazard.py::TestStormEurope::test_icon_read
2.22s call climada/test/test_engine.py::TestCalcCostBenefit::test_calc_uncertainty_pass
2.18s call climada/test/test_util.py::TestGeomImpactCalcs::test_calc_geom_impact_polys
2.17s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_Monaco150_pass
2.16s call climada/test/test_plot.py::TestPlotter::test_hazard_fraction_pass
2.16s call climada/test/test_plot.py::TestPlotter::test_hazard_rp_intensity
2.13s call climada/hazard/test/test_tc_tracks.py::TestFuncs::test_dist_since_lf_pass
2.13s call climada/hazard/test/test_tc_tracks_synth.py::TestSynth::test_random_walk_single_point
1.95s call climada/engine/test/test_impact_data.py::TestEmdatProcessing::test_emdat_impact_event_2018
1.92s call climada/engine/test/test_forecast.py::TestCalc::test_Forecast_calc_properties
1.91s call climada/test/test_api_client.py::TestClient::test_get_hazard
1.89s call climada/hazard/test/test_tc_tracks_synth.py::TestDecay::test_wrong_decay_pass
1.88s call climada/util/test/test_coordinates.py::TestRasterIO::test_crs_and_geometry_raster_pass
1.88s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_from_population
1.87s call climada/hazard/test/test_storm_europe.py::TestReader::test_set_ssi
1.86s call climada/util/test/test_coordinates.py::TestGetGeodata::test_all_points_on_sea
1.84s call climada/entity/exposures/test/test_litpop.py::TestLitPop::test_get_total_value_per_country_gdp
1.83s call climada/test/test_plot.py::TestPlotter::test_plot_unc_cb
1.80s call climada/util/test/test_coordinates.py::TestGetGeodata::test_dist_to_coast
1.79s call climada/hazard/test/test_storm_europe.py::TestReader::test_centroids_from_nc
1.76s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_switzerland30normPop_pass
1.72s call climada/util/test/test_coordinates.py::TestGetGeodata::test_get_country_geometries_extent_pass
1.71s call climada/hazard/test/test_tc_tracks_synth.py::TestDecay::test_apply_decay_pass
1.70s call climada/test/test_multi_processing.py::TestCoordinates::test_set_df_geometry_points_scheduled_pass
1.69s call climada/hazard/test/test_tc_tracks_synth.py::TestDecay::test_calc_land_decay_pass
1.67s call climada/hazard/test/test_storm_europe.py::TestReader::test_read_with_ref
1.67s call climada/hazard/test/test_tc_tracks_synth.py::TestSynth::test_random_no_landfall_pass
1.66s call climada/hazard/test/test_tc_tracks_synth.py::TestDecay::test_decay_values_andrew_pass
1.64s call climada/engine/unsequa/test/test_unsequa.py::TestOutput::test_plot_unc_imp
1.64s call climada/hazard/test/test_tc_tracks_synth.py::TestDecay::test_decay_penv_gt_pcen
1.64s call climada/hazard/test/test_tc_tracks_synth.py::TestDecay::test_decay_end_ocean
1.64s call climada/hazard/centroids/test/test_vec_ras.py::TestVector::test_region_id_pass
1.63s call climada/engine/test/test_impact_data.py::TestEmdatProcessing::test_emdat_impact_event_2020
1.63s call climada/hazard/test/test_tc_tracks_synth.py::TestDecay::test_calc_decay_no_landfall_pass
1.62s call climada/engine/test/test_forecast.py::TestCalc::test_Forecast_init_raise
1.60s call climada/hazard/test/test_storm_europe.py::TestReader::test_cosmoe_read
1.60s call climada/hazard/test/test_tc_tracks.py::TestIbtracs::test_ibtracs_range
1.60s call climada/hazard/centroids/test/test_vec_ras.py::TestRaster::test_on_land
1.60s call climada/hazard/test/test_storm_europe.py::TestReader::test_generate_forecast
1.59s call climada/util/test/test_coordinates.py::TestRasterIO::test_crs_raster_pass
1.57s call climada/hazard/centroids/test/test_centr.py::TestCentroidsMethods::test_union
1.55s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_Liechtenstein_30_pop_pass
1.54s call climada/hazard/centroids/test/test_vec_ras.py::TestRaster::test_region_id_pass
1.53s call climada/hazard/test/test_tc_tracks_synth.py::TestDecay::test_apply_decay_no_landfall_pass
1.53s call climada/hazard/test/test_tc_tracks.py::TestIbtracs::test_ibtracs_interpolate_missing
1.46s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_Liechtenstein_15_lit_pass
1.46s call climada/hazard/test/test_tc_tracks.py::TestIbtracs::test_ibtracs_scale_wind
1.42s call climada/util/test/test_coordinates.py::TestGetGeodata::test_get_land_geometry_extent_pass
1.37s call climada/util/test/test_plot.py::TestPlots::test_geo_scatter_from_array
1.27s call climada/hazard/test/test_tc_tracks.py::TestIO::test_hdf5_io
1.26s call climada/util/test/test_plot.py::TestPlots::test_geo_bin_from_array
1.18s call climada/test/test_engine.py::TestCalcCostBenefit::test_calc_sensitivity_pass
1.07s call climada/util/test/test_finance.py::TestWBWealthAccount::test_tow_IND_1985_pass
1.04s call climada/hazard/test/test_tc_tracks.py::TestIbtracs::test_ibtracs_with_provider
1.02s call climada/entity/exposures/test/test_litpop.py::TestLitPop::test_get_total_value_per_country_pc
1.01s call climada/hazard/test/test_tc_tracks.py::TestIbtracs::test_ibtracs_additional_variables
(2066 durations < 1s hidden. Use -vv to show these durations.)
==================================== 725 passed, 2019 warnings in 478.03s (0:07:58) =====================================To re-create the old environment, I dialed back cartopy and matplotlib (the latter because of an incompatibility that is not tracked by conda):
mamba install -n climada_test cartopy=0.20 matplotlib=3.5Changeset between environments:
Package Version Build Channel Size
────────────────────────────────────────────────────────────────────────────────
Install:
────────────────────────────────────────────────────────────────────────────────
+ libdap4 3.20.6 h8510809_2 conda-forge/osx-arm64 Cached
+ pcre 8.45 hbdafb3b_0 conda-forge/osx-arm64 Cached
Change:
────────────────────────────────────────────────────────────────────────────────
- geotiff 1.7.1 hdcdc974_6 conda-forge
+ geotiff 1.7.1 hc898e3f_3 conda-forge/osx-arm64 Cached
- librttopo 1.1.0 h844f84d_12 conda-forge
+ librttopo 1.1.0 h275bb25_11 conda-forge/osx-arm64 Cached
- libspatialite 5.0.1 h14115fc_23 conda-forge
+ libspatialite 5.0.1 h97b496e_19 conda-forge/osx-arm64 Cached
- openjpeg 2.5.0 hbc2ba62_2 conda-forge
+ openjpeg 2.5.0 h5d4e404_1 conda-forge/osx-arm64 Cached
Downgrade:
────────────────────────────────────────────────────────────────────────────────
- cartopy 0.21.1 py39hda17d7f_0 conda-forge
+ cartopy 0.20.3 py39h1293edb_2 conda-forge/osx-arm64 Cached
- cfitsio 4.2.0 h2f961c4_0 conda-forge
+ cfitsio 4.1.0 hd4f5c17_0 conda-forge/osx-arm64 Cached
- fiona 1.9.1 py39h9e5269e_0 conda-forge
+ fiona 1.8.22 py39hb828934_0 conda-forge/osx-arm64 Cached
- gdal 3.6.2 py39h766d3fc_6 conda-forge
+ gdal 3.5.2 py39h766d3fc_4 conda-forge/osx-arm64 Cached
- geos 3.11.1 hb7217d7_0 conda-forge
+ geos 3.11.0 h9a09cb3_0 conda-forge/osx-arm64 Cached
- kealib 1.5.0 hfd766a6_0 conda-forge
+ kealib 1.4.15 h02ce806_1 conda-forge/osx-arm64 Cached
- lcms2 2.15 h481adae_0 conda-forge
+ lcms2 2.14 h8193b64_0 conda-forge/osx-arm64 Cached
- libdeflate 1.17 h1a8c8d9_0 conda-forge
+ libdeflate 1.14 h1a8c8d9_0 conda-forge/osx-arm64 Cached
- libgdal 3.6.2 h90a2855_6 conda-forge
+ libgdal 3.5.2 h1ecf2db_4 conda-forge/osx-arm64 Cached
- libpq 15.2 h1a28acd_0 conda-forge
+ libpq 14.5 h1a28acd_5 conda-forge/osx-arm64 Cached
- libtiff 4.5.0 h5dffbdd_2 conda-forge
+ libtiff 4.4.0 heb92581_5 conda-forge/osx-arm64 Cached
- matplotlib 3.7.1 py39hdf13c20_0 conda-forge
+ matplotlib 3.5.3 py39hdf13c20_2 conda-forge/osx-arm64 Cached
- matplotlib-base 3.7.1 py39h35e9e80_0 conda-forge
+ matplotlib-base 3.5.3 py39ha500c34_2 conda-forge/osx-arm64 Cached
- pillow 9.4.0 py39h8bd98a6_1 conda-forge
+ pillow 9.2.0 py39h139752e_3 conda-forge/osx-arm64 Cached
- poppler 23.01.0 h9564b9f_0 conda-forge
+ poppler 22.10.0 hae7f5f0_0 conda-forge/osx-arm64 Cached
- postgresql 15.2 h45c140d_0 conda-forge
+ postgresql 14.5 h45c140d_5 conda-forge/osx-arm64 Cached
- proj 9.1.1 h13f728c_2 conda-forge
+ proj 9.0.1 h4c79c2b_1 conda-forge/osx-arm64 Cached
- pyproj 3.5.0 py39hd68364f_0 conda-forge
+ pyproj 3.4.0 py39h4b6117f_0 conda-forge/osx-arm64 Cached
- rasterio 1.3.6 py39h157378c_0 conda-forge
+ rasterio 1.3.3 py39h3acb546_0 conda-forge/osx-arm64 Cached
- shapely 2.0.1 py39h472ea82_0 conda-forge
+ shapely 1.8.5 py39hda9c22c_1 conda-forge/osx-arm64 Cached
- tiledb 2.13.2 h9bd36d0_0 conda-forge
+ tiledb 2.11.3 h9bd36d0_1 conda-forge/osx-arm64 CachedOld Environment
(climada_test) ➜ climada_python git:(develop) ✗ mamba env export
name: climada_test
channels:
- conda-forge
- defaults
dependencies:
- affine=2.4.0=pyhd8ed1ab_0
- attrs=23.1.0=pyh71513ae_1
- aws-c-auth=0.6.28=h826ccd7_5
- aws-c-cal=0.5.27=h92f41cd_0
- aws-c-common=0.8.20=hb547adb_0
- aws-c-compression=0.2.17=h28992cd_0
- aws-c-event-stream=0.3.0=h7f691c3_6
- aws-c-http=0.7.8=he2e4218_4
- aws-c-io=0.13.26=h379bc4c_0
- aws-c-mqtt=0.8.13=hdb3a981_2
- aws-c-s3=0.3.4=h02343f9_5
- aws-c-sdkutils=0.1.10=h28992cd_0
- aws-checksums=0.1.16=h28992cd_0
- aws-crt-cpp=0.20.2=h37dd33e_9
- aws-sdk-cpp=1.10.57=h9b90b14_14
- blosc=1.21.4=hc338f07_0
- bokeh=3.1.1=pyhd8ed1ab_0
- boost-cpp=1.78.0=hf1d6563_2
- bottleneck=1.3.7=py39h4d8bf0d_0
- branca=0.6.0=pyhd8ed1ab_0
- brotli=1.0.9=h1a8c8d9_8
- brotli-bin=1.0.9=h1a8c8d9_8
- bzip2=1.0.8=h3422bc3_4
- c-ares=1.19.1=hb547adb_0
- ca-certificates=2023.5.7=hf0a4a13_0
- cached-property=1.5.2=hd8ed1ab_1
- cached_property=1.5.2=pyha770c72_1
- cairo=1.16.0=h73a0509_1014
- cartopy=0.20.3=py39h1293edb_2
- certifi=2023.5.7=pyhd8ed1ab_0
- cffi=1.15.1=py39h7e6b969_3
- cfgrib=0.9.9.1=pyhd8ed1ab_2
- cfitsio=4.1.0=hd4f5c17_0
- cftime=1.6.2=py39h4d8bf0d_1
- charset-normalizer=3.1.0=pyhd8ed1ab_0
- click=8.1.3=unix_pyhd8ed1ab_2
- click-plugins=1.1.1=py_0
- cligj=0.7.2=pyhd8ed1ab_1
- cloudpickle=2.2.1=pyhd8ed1ab_0
- colorama=0.4.6=pyhd8ed1ab_0
- contextily=1.3.0=pyhd8ed1ab_0
- contourpy=1.1.0=py39hbd775c9_0
- curl=8.1.2=h912dcd9_0
- cycler=0.11.0=pyhd8ed1ab_0
- cytoolz=0.12.0=py39h02fc5c5_1
- dask=2023.6.0=pyhd8ed1ab_0
- dask-core=2023.6.0=pyhd8ed1ab_0
- dill=0.3.6=pyhd8ed1ab_1
- distributed=2023.6.0=pyhd8ed1ab_0
- eccodes=2.27.1=hcbf30ee_0
- et_xmlfile=1.1.0=pyhd8ed1ab_0
- expat=2.5.0=hb7217d7_1
- findlibs=0.0.5=pyhd8ed1ab_0
- fiona=1.8.22=py39hb828934_0
- folium=0.14.0=pyhd8ed1ab_0
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
- font-ttf-inconsolata=3.000=h77eed37_0
- font-ttf-source-code-pro=2.038=h77eed37_0
- font-ttf-ubuntu=0.83=hab24e00_0
- fontconfig=2.14.2=h82840c6_0
- fonts-conda-ecosystem=1=0
- fonts-conda-forge=1=0
- fonttools=4.40.0=py39h0f82c59_0
- freetype=2.12.1=hd633e50_1
- freexl=1.0.6=h1a8c8d9_1
- fsspec=2023.6.0=pyh1a96a4e_0
- gdal=3.5.2=py39h766d3fc_4
- geographiclib=1.52=pyhd8ed1ab_0
- geopandas=0.13.2=pyhd8ed1ab_1
- geopandas-base=0.13.2=pyha770c72_1
- geopy=2.3.0=pyhd8ed1ab_0
- geos=3.11.0=h9a09cb3_0
- geotiff=1.7.1=hc898e3f_3
- gettext=0.21.1=h0186832_0
- gflags=2.2.2=hc88da5d_1004
- giflib=5.2.1=h1a8c8d9_3
- glog=0.6.0=h6da1cb0_0
- h5py=3.8.0=nompi_py39hc9149d8_100
- haversine=2.8.0=pyhd8ed1ab_0
- hdf4=4.2.15=h1a38d6a_5
- hdf5=1.12.2=nompi_ha7af310_101
- icu=70.1=h6b3803e_0
- idna=3.4=pyhd8ed1ab_0
- importlib-metadata=6.7.0=pyha770c72_0
- importlib-resources=5.12.0=pyhd8ed1ab_0
- importlib_metadata=6.7.0=hd8ed1ab_0
- importlib_resources=5.12.0=pyhd8ed1ab_0
- jasper=2.0.33=hc3cd1e9_1
- jinja2=3.1.2=pyhd8ed1ab_1
- joblib=1.2.0=pyhd8ed1ab_0
- jpeg=9e=h1a8c8d9_3
- json-c=0.16=hc449e50_0
- kealib=1.4.15=h02ce806_1
- kiwisolver=1.4.4=py39haaf3ac1_1
- krb5=1.20.1=h69eda48_0
- lcms2=2.14=h8193b64_0
- lerc=4.0.0=h9a09cb3_0
- libabseil=20230125.2=cxx17_h13dd4ca_2
- libaec=1.0.6=hb7217d7_1
- libarrow=12.0.0=hbfb5349_8_cpu
- libblas=3.9.0=17_osxarm64_openblas
- libbrotlicommon=1.0.9=h1a8c8d9_8
- libbrotlidec=1.0.9=h1a8c8d9_8
- libbrotlienc=1.0.9=h1a8c8d9_8
- libcblas=3.9.0=17_osxarm64_openblas
- libcrc32c=1.1.2=hbdafb3b_0
- libcurl=8.1.2=h912dcd9_0
- libcxx=16.0.6=h4653b0c_0
- libdap4=3.20.6=h8510809_2
- libdeflate=1.14=h1a8c8d9_0
- libedit=3.1.20191231=hc8eb9b7_2
- libev=4.33=h642e427_1
- libevent=2.1.12=h2757513_1
- libexpat=2.5.0=hb7217d7_1
- libffi=3.4.2=h3422bc3_5
- libgdal=3.5.2=h1ecf2db_4
- libgfortran=5.0.0=12_2_0_hd922786_31
- libgfortran5=12.2.0=h0eea778_31
- libglib=2.76.3=h24e9cb9_0
- libgoogle-cloud=2.11.0=h5263b79_1
- libgrpc=1.55.1=hc384137_1
- libiconv=1.17=he4db4b2_0
- libkml=1.3.0=h41464e4_1015
- liblapack=3.9.0=17_osxarm64_openblas
- libllvm14=14.0.6=hd1a9a77_3
- libnetcdf=4.8.1=nompi_h2510be2_106
- libnghttp2=1.52.0=hae82a92_0
- libopenblas=0.3.23=openmp_hc731615_0
- libpng=1.6.39=h76d750c_0
- libpq=14.5=h1a28acd_5
- libprotobuf=4.23.2=hf32f9b9_5
- librttopo=1.1.0=h275bb25_11
- libspatialindex=1.9.3=hbdafb3b_4
- libspatialite=5.0.1=h97b496e_19
- libsqlite=3.42.0=hb31c410_0
- libssh2=1.11.0=h7a5bd25_0
- libthrift=0.18.1=ha061701_2
- libtiff=4.4.0=heb92581_5
- libutf8proc=2.8.0=h1a8c8d9_0
- libwebp-base=1.3.0=h1a8c8d9_0
- libxcb=1.13=h9b22ae9_1004
- libxml2=2.10.3=h67585b2_4
- libxslt=1.1.37=h1bd8bc4_0
- libzip=1.9.2=h76ab92c_1
- libzlib=1.2.13=h53f4e23_5
- llvm-openmp=16.0.6=h1c12783_0
- llvmlite=0.40.0=py39hbad4f83_0
- locket=1.0.0=pyhd8ed1ab_0
- lxml=4.9.2=py39h0520ce3_0
- lz4=4.3.2=py39hb35ce34_0
- lz4-c=1.9.4=hb7217d7_0
- mapclassify=2.5.0=pyhd8ed1ab_1
- markupsafe=2.1.3=py39h0f82c59_0
- matplotlib=3.5.3=py39hdf13c20_2
- matplotlib-base=3.5.3=py39ha500c34_2
- mercantile=1.2.1=pyhd8ed1ab_0
- msgpack-python=1.0.5=py39haaf3ac1_0
- multiprocess=0.70.14=py39h02fc5c5_3
- munch=3.0.0=pyhd8ed1ab_0
- munkres=1.1.4=pyh9f0ad1d_0
- ncurses=6.4=h7ea286d_0
- netcdf4=1.6.2=nompi_py39h8ded8ba_100
- networkx=3.1=pyhd8ed1ab_0
- nspr=4.35=hb7217d7_0
- nss=3.89=h789eff7_0
- numba=0.57.0=py39he8ed757_2
- numexpr=2.8.4=py39hd28f0be_0
- numpy=1.24.3=py39h485cf63_0
- openjpeg=2.5.0=h5d4e404_1
- openpyxl=3.1.2=py39h0f82c59_0
- openssl=3.1.1=h53f4e23_1
- orc=1.8.4=h13b7ede_0
- packaging=23.1=pyhd8ed1ab_0
- pandas=1.5.3=py39hde7b980_1
- pandas-datareader=0.10.0=pyh6c4a22f_0
- partd=1.4.0=pyhd8ed1ab_0
- pathos=0.3.0=pyhd8ed1ab_0
- patsy=0.5.3=pyhd8ed1ab_0
- pcre=8.45=hbdafb3b_0
- pcre2=10.40=hb34f9b4_0
- pillow=9.2.0=py39h139752e_3
- pint=0.22=pyhd8ed1ab_1
- pip=23.1.2=pyhd8ed1ab_0
- pixman=0.40.0=h27ca646_0
- platformdirs=3.8.0=pyhd8ed1ab_0
- pooch=1.7.0=pyha770c72_3
- poppler=22.10.0=hae7f5f0_0
- poppler-data=0.4.12=hd8ed1ab_0
- postgresql=14.5=h45c140d_5
- pox=0.3.2=pyhd8ed1ab_0
- ppft=1.7.6.6=pyhd8ed1ab_0
- proj=9.0.1=h4c79c2b_1
- psutil=5.9.5=py39h02fc5c5_0
- pthread-stubs=0.4=h27ca646_1001
- pyarrow=12.0.0=py39hf40061a_8_cpu
- pycountry=22.3.5=pyhd8ed1ab_0
- pycparser=2.21=pyhd8ed1ab_0
- pyepsg=0.4.0=py_0
- pyparsing=3.1.0=pyhd8ed1ab_0
- pyproj=3.4.0=py39h4b6117f_0
- pyshp=2.3.1=pyhd8ed1ab_0
- pysocks=1.7.1=pyha2e5f31_6
- pytables=3.7.0=py39h8abd629_3
- python=3.9.16=hea58f1e_0_cpython
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python-eccodes=1.5.1=py39h4d8bf0d_0
- python_abi=3.9=3_cp39
- pytz=2023.3=pyhd8ed1ab_0
- pyxlsb=1.0.10=pyhd8ed1ab_0
- pyyaml=6.0=py39h02fc5c5_5
- rasterio=1.3.3=py39h3acb546_0
- re2=2023.03.02=hc5e2d97_0
- readline=8.2=h92ec313_1
- requests=2.31.0=pyhd8ed1ab_0
- rtree=1.0.1=py39hb28b0e7_1
- salib=1.4.7=pyhd8ed1ab_0
- scikit-learn=1.2.2=py39hd5c4a62_2
- scipy=1.11.0=py39ha6b2cbd_0
- setuptools=68.0.0=pyhd8ed1ab_0
- shapely=1.8.5=py39hda9c22c_1
- six=1.16.0=pyh6c4a22f_0
- snappy=1.1.10=h17c5cce_0
- snuggs=1.4.7=py_0
- sortedcontainers=2.4.0=pyhd8ed1ab_0
- sparse=0.14.0=pyhd8ed1ab_0
- sqlite=3.42.0=h203b68d_0
- statsmodels=0.14.0=py39h8a366b7_1
- tabulate=0.9.0=pyhd8ed1ab_1
- tblib=1.7.0=pyhd8ed1ab_0
- threadpoolctl=3.1.0=pyh8a188c0_0
- tiledb=2.11.3=h9bd36d0_1
- tk=8.6.12=he1e0b03_0
- toolz=0.12.0=pyhd8ed1ab_0
- tornado=6.3.2=py39h0f82c59_0
- tqdm=4.65.0=pyhd8ed1ab_1
- typing-extensions=4.6.3=hd8ed1ab_0
- typing_extensions=4.6.3=pyha770c72_0
- tzcode=2023c=h1a8c8d9_0
- tzdata=2023c=h71feb2d_0
- unicodedata2=15.0.0=py39h02fc5c5_0
- unittest-xml-reporting=3.2.0=pyhd8ed1ab_0
- urllib3=2.0.3=pyhd8ed1ab_0
- wheel=0.40.0=pyhd8ed1ab_0
- xarray=2023.5.0=pyhd8ed1ab_0
- xerces-c=3.2.4=h627aa08_1
- xlrd=2.0.1=pyhd8ed1ab_3
- xlsxwriter=3.1.2=pyhd8ed1ab_0
- xorg-libxau=1.0.11=hb547adb_0
- xorg-libxdmcp=1.1.3=h27ca646_0
- xyzservices=2023.5.0=pyhd8ed1ab_1
- xz=5.2.6=h57fd34a_0
- yaml=0.2.5=h3422bc3_2
- zict=3.0.0=pyhd8ed1ab_0
- zipp=3.15.0=pyhd8ed1ab_0
- zlib=1.2.13=h53f4e23_5
- zstd=1.5.2=hf913c23_6
- pip:
- appnope==0.1.3
- astroid==2.5
- asttokens==2.2.1
- backcall==0.2.0
- coverage==7.2.7
- decorator==5.1.1
- deprecation==2.1.0
- exceptiongroup==1.1.1
- executing==1.2.0
- iniconfig==2.0.0
- ipython==8.14.0
- isort==5.12.0
- jedi==0.18.2
- lazy-object-proxy==1.9.0
- matplotlib-inline==0.1.6
- mccabe==0.6.1
- overpy==0.6
- parso==0.8.3
- peewee==3.16.2
- pexpect==4.8.0
- pickleshare==0.7.5
- pluggy==1.2.0
- prompt-toolkit==3.0.38
- ptyprocess==0.7.0
- pure-eval==0.2.2
- pygments==2.15.1
- pylint==2.7.1
- pytest==7.4.0
- pytest-cov==4.1.0
- pytest-subtests==0.11.0
- stack-data==0.6.2
- toml==0.10.2
- tomli==2.0.1
- traitlets==5.9.0
- wcwidth==0.2.6
- wrapt==1.12.1
- xmlrunner==1.7.7
prefix: /Users/ldr.riedel/mambaforge/envs/climada_test
Results from pytest:
(climada_test) ➜ climada_python git:(develop) ✗ pytest --durations=0 --durations-min=1 climada/
================================================== test session starts ==================================================
platform darwin -- Python 3.9.16, pytest-7.4.0, pluggy-1.2.0
rootdir: /Users/ldr.riedel/coding/climada_python
plugins: subtests-0.11.0, cov-4.1.0
collected 725 items
climada/engine/test/test_cost_benefit.py ...................... [ 3%]
climada/engine/test/test_forecast.py ... [ 3%]
climada/engine/test/test_impact.py ........................................ [ 8%]
climada/engine/test/test_impact_calc.py ............................ [ 12%]
climada/engine/test/test_impact_data.py ........... [ 14%]
climada/engine/unsequa/test/test_unsequa.py ................ [ 16%]
climada/entity/disc_rates/test/test_base.py ............. [ 18%]
climada/entity/exposures/test/test_base.py .......................... [ 21%]
climada/entity/exposures/test/test_litpop.py ...................... [ 24%]
climada/entity/exposures/test/test_mat.py ......... [ 26%]
climada/entity/exposures/test/test_nightlight.py ..... [ 26%]
climada/entity/impact_funcs/test/test_base.py ... [ 27%]
climada/entity/impact_funcs/test/test_imp_fun_set.py ....................... [ 30%]
climada/entity/impact_funcs/test/test_tc.py ........ [ 31%]
climada/entity/impact_funcs/test/test_ws.py . [ 31%]
climada/entity/measures/test/test_base.py ........... [ 33%]
climada/entity/measures/test/test_meas_set.py ..................... [ 36%]
climada/entity/test/test_entity.py ...... [ 36%]
climada/entity/test/test_tag.py ... [ 37%]
climada/hazard/centroids/test/test_centr.py ........ [ 38%]
climada/hazard/centroids/test/test_vec_ras.py .................................... [ 43%]
climada/hazard/test/test_base.py ........................................................ [ 51%]
climada/hazard/test/test_base_xarray.py ............... [ 53%]
climada/hazard/test/test_storm_europe.py ....... [ 54%]
climada/hazard/test/test_tag.py ........ [ 55%]
climada/hazard/test/test_tc_cc.py .. [ 55%]
climada/hazard/test/test_tc_tracks.py ........................................ [ 61%]
climada/hazard/test/test_tc_tracks_synth.py .................. [ 63%]
climada/hazard/test/test_trop_cyclone.py ................ [ 65%]
climada/test/test_api_client.py ................ [ 68%]
climada/test/test_calibration.py . [ 68%]
climada/test/test_engine.py ..... [ 68%]
climada/test/test_hazard.py ........... [ 70%]
climada/test/test_litpop_integr.py .................. [ 72%]
climada/test/test_multi_processing.py . [ 72%]
climada/test/test_nightlight.py ...... [ 73%]
climada/test/test_plot.py ........... [ 75%]
climada/test/test_util.py . [ 75%]
climada/util/test/test__init__.py . [ 75%]
climada/util/test/test_checker.py .... [ 76%]
climada/util/test/test_config.py ... [ 76%]
climada/util/test/test_coordinates.py ........................................................................... [ 86%]
.. [ 87%]
climada/util/test/test_dates_times.py ..... [ 87%]
climada/util/test/test_dwd_icon.py ..... [ 88%]
climada/util/test/test_files.py ............ [ 90%]
climada/util/test/test_finance.py ............... [ 92%]
climada/util/test/test_hdf5.py ...... [ 93%]
climada/util/test/test_lines_polys_handler.py ......................... [ 96%]
climada/util/test/test_plot.py ....... [ 97%]
climada/util/test/test_save.py .. [ 97%]
climada/util/test/test_select.py . [ 97%]
climada/util/test/test_value_representation.py ......... [ 99%]
climada/util/test/test_yearsets.py ...... [100%]
=================================================== slowest durations ===================================================
31.63s call climada/test/test_api_client.py::TestClient::test_purge_cache
16.41s call climada/test/test_nightlight.py::TestNightlight::test_download_nl_files
14.23s call climada/test/test_nightlight.py::TestNightlight::test_read_bm_files
12.72s call climada/test/test_calibration.py::TestCalib::test_calib_instance
12.31s call climada/test/test_plot.py::TestPlotter::test_cost_benefit
11.21s call climada/test/test_api_client.py::TestClient::test_download_file
9.49s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_switzerland300_admin1_pc2016_pass
9.07s call climada/test/test_litpop_integr.py::TestAdmin1::test_calc_admin1
8.75s call climada/test/test_plot.py::TestPlotter::test_ctx_osm_pass
8.72s call climada/test/test_litpop_integr.py::TestAdmin1::test_from_countries_calc_admin1_pass
8.66s call climada/test/test_util.py::TestGeomImpactCalcs::test_calc_geom_impact_polys
6.76s call climada/test/test_api_client.py::TestClient::test_get_hazard_fails
6.29s call climada/test/test_nightlight.py::TestNightlight::test_unzip_tif_to_py
5.10s call climada/test/test_hazard.py::TestTcTracks::test_ibtracs_with_basin
4.59s call climada/test/test_litpop_integr.py::TestAdmin1::test_brandenburg
4.57s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_suriname30_nfw_pass
3.90s call climada/test/test_engine.py::TestEmdatProcessing::test_emdat_damage_yearlysum
3.58s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_from_shape_and_countries_zurich_pass
3.53s call climada/test/test_hazard.py::TestStormEurope::test_from_footprints
3.44s call climada/entity/exposures/test/test_base.py::TestFuncs::test_assign_large_hazard_subset_pass
3.15s call climada/test/test_hazard.py::TestCentroids::test_read_raster_pool_pass
3.14s call climada/test/test_hazard.py::TestBase::test_reproject_raster_pass
3.14s call climada/test/test_hazard.py::TestCentroids::test_read_write_raster_pass
3.11s call climada/test/test_hazard.py::TestBase::test_raster_to_vector_pass
3.06s call climada/test/test_engine.py::TestGDPScaling::test_scale_impact2refyear
2.83s call climada/test/test_engine.py::TestEmdatToImpact::test_emdat_to_impact_scale
2.64s call climada/util/test/test_coordinates.py::TestGetGeodata::test_on_land_pass
2.53s call climada/test/test_plot.py::TestPlotter::test_exposures_value_pass
2.37s call climada/test/test_hazard.py::TestBase::test_write_read_pass
2.36s call climada/util/test/test_plot.py::TestPlots::test_geo_scatter_categorical
2.34s call climada/util/test/test_coordinates.py::TestRasterIO::test_transform_raster_pass
2.12s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_switzerland30normPop_pass
2.07s call climada/test/test_engine.py::TestCalcCostBenefit::test_calc_uncertainty_pass
2.00s call climada/test/test_multi_processing.py::TestCoordinates::test_set_df_geometry_points_scheduled_pass
1.93s call climada/hazard/test/test_storm_europe.py::TestReader::test_generate_prob_storms
1.90s call climada/test/test_hazard.py::TestTcTracks::test_cutoff_tracks
1.84s call climada/engine/test/test_forecast.py::TestPlot::test_Forecast_plot
1.81s call climada/test/test_api_client.py::TestClient::test_get_hazard
1.81s call climada/util/test/test_coordinates.py::TestRasterIO::test_crs_raster_pass
1.77s call climada/engine/test/test_impact_data.py::TestEmdatProcessing::test_emdat_impact_event_2018
1.65s call climada/engine/test/test_impact_data.py::TestEmdatProcessing::test_emdat_impact_event_2020
1.64s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_netherlands150_pass
1.62s call climada/test/test_plot.py::TestPlotter::test_plot_unc_cb
1.61s call climada/hazard/test/test_tc_tracks.py::TestIbtracs::test_ibtracs_interpolate_missing
1.58s call climada/hazard/test/test_tc_tracks.py::TestIbtracs::test_ibtracs_range
1.56s call climada/entity/exposures/test/test_litpop.py::TestLitPop::test_get_total_value_per_country_gdp
1.56s call climada/util/test/test_coordinates.py::TestRasterIO::test_crs_and_geometry_raster_pass
1.48s call climada/test/test_plot.py::TestPlotter::test_hazard_centroids
1.44s call climada/test/test_litpop_integr.py::TestLitPopExposure::test_switzerland300_pass
1.35s call climada/hazard/test/test_tc_tracks.py::TestIbtracs::test_ibtracs_scale_wind
1.29s call climada/test/test_plot.py::TestPlotter::test_hazard_intensity_pass
1.27s call climada/hazard/test/test_storm_europe.py::TestReader::test_read_with_ref
1.25s call climada/hazard/test/test_tc_tracks.py::TestFuncs::test_track_land_params
1.17s call climada/hazard/test/test_storm_europe.py::TestReader::test_centroids_from_nc
1.17s call climada/hazard/test/test_storm_europe.py::TestReader::test_set_ssi
1.15s call climada/engine/test/test_forecast.py::TestCalc::test_Forecast_init_raise
1.09s call climada/test/test_engine.py::TestCalcCostBenefit::test_calc_sensitivity_pass
1.05s call climada/util/test/test_plot.py::TestPlots::test_geo_im_from_array
1.04s call climada/util/test/test_coordinates.py::TestGetGeodata::test_dist_to_coast
1.03s call climada/hazard/test/test_tc_tracks.py::TestIO::test_hdf5_io
1.00s call climada/hazard/centroids/test/test_centr.py::TestCentroidsReader::test_base_grid
(2114 durations < 1s hidden. Use -vv to show these durations.)
==================================== 725 passed, 1878 warnings in 328.54s (0:05:28) =====================================
emanuel-schmid
since the dependency upgrade (#693) unit and integration tests seem to be dramatically slowed down:
Time consumed in ci-night: range 425 - 430, last 6 tests before the upgrade: 8:13 - 9:59 range 431 - 434, first 4 tests after the upgrade: 14:55 - 15:21
This may be a coincidence but I doubt it.