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44 - nodefaults
55dependencies :
66 - bayesian-optimization>=1.5,<2.0
7- - bottleneck>=1.5
8- - cartopy>=0.24
7+ - bottleneck>=1.6
8+ - cartopy>=0.25
99 - cfgrib>=0.9
1010 - contextily>=1.6
11- - dask>=2025.5
11+ - dask>=2025.9
1212 - deprecation>=2.1
13- - eccodes>=2.41
13+ - eccodes>=2.42
1414 - fiona>=1.10
1515 - gdal>=3.10
16- - geopandas>=0.14
17- - h5py>=3.13
16+ - geopandas>=1.1
17+ - h5py>=3.14
1818 - haversine>=2.9
1919 - matplotlib-base>=3.10
2020 - netcdf4>=1.7
21- - numba>=0.61
22- - numexpr>=2.10
23- - openpyxl>=3.0
21+ - numba>=0.62
22+ - numexpr>=2.13
23+ - openpyxl>=3.1
2424 - osm-flex>=1.1 # this is only required for running the tutorials, not for the CLIMADA package itself
25- - pandas>=2.1
25+ - pandas>=2.3
2626 - pathos>=0.3
27- - peewee>=3.17
28- - pint>=0.24
27+ - peewee>=3.18
28+ - pint>=0.25
2929 - pip
30- - pyarrow>=20 .0
30+ - pyarrow>=21 .0
3131 - pycountry>=24.6
3232 - pyproj>=3.7
3333 - pytables>=3.10 # this is the name of the pypi 'tables' package on conda-forge
3434 - pyxlsb>=1.0
3535 - rasterio>=1.4
3636 - requests>=2.32
37- - rtree>=1.3
37+ - rtree>=1.4
3838 - salib>=1.5
3939 - scikit-learn>=1.7
40- - scipy>=1.14
40+ - scipy>=1.16
4141 - seaborn>=0.13
4242 - sparse>=0.17
4343 - statsmodels>=0.14
4444 - tabulate>=0.9
4545 - tqdm>=4.67
4646 - unittest-xml-reporting>=3.2
47- - xarray>=2025.6
47+ - xarray>=2025.9
4848 - xlrd>=2.0
4949 - xlsxwriter>=3.2
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