Describe the bug/issue
When loading WOFS data Datacube.load uses np.bool, which is deprecated in newer version of numpy and therefore loading WOFS data produces an error.
Steps to reproduce
Steps to reproduce the behaviour:
Load WOFS data using the recommended steps:
wo = dc.load(product='ga_ls_wo_3',
group_by='solar_day',
fuse_func=wofs_fuser,
like=MyData)
Expected behaviour
An error that has the end description of:
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
robbibt
commented
1 year ago
Describe the bug/issue When loading WOFS data Datacube.load uses np.bool, which is deprecated in newer version of numpy and therefore loading WOFS data produces an error.
Steps to reproduce Steps to reproduce the behaviour: Load WOFS data using the recommended steps: wo = dc.load(product='ga_ls_wo_3', group_by='solar_day', fuse_func=wofs_fuser, like=MyData)
Expected behaviour An error that has the end description of:
Environment information DEA Sandbox (https://docs.dea.ga.gov.au/setup/sandbox.html)