Comments (5)
Can you post the full install log?
from sparse.
Collecting numba>=0.49
Using cached numba-0.56.4.tar.gz (2.4 MB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [8 lines of output]
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "/private/var/folders/_w/bzzyhshs3vzgj99llfclwnch0000gn/T/pip-install-4ffw6wd9/numba_25233822975c47c1a41d6378da312449/setup.py", line 51, in
_guard_py_ver()
File "/private/var/folders/_w/bzzyhshs3vzgj99llfclwnch0000gn/T/pip-install-4ffw6wd9/numba_25233822975c47c1a41d6378da312449/setup.py", line 48, in _guard_py_ver
raise RuntimeError(msg.format(cur_py, min_py, max_py))
RuntimeError: Cannot install on Python version 3.11.2; only versions >=3.7,<3.11 are supported.
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
note: This is an issue with the package mentioned above, not pip.
from sparse.
Well, one of the dependencies of sparse
called numba
doesn't support Python 3.11 yet.
from sparse.
Upstream issue: numba/numba#8304, support added, pending final release.
from sparse.
The support is now present and a bug on our side resolved.
from sparse.
Related Issues (20)
- Unable to install shap on python 3.11 doubt to numba cannot install on Python version 3.11.2 HOT 1
- `einsum` doesn't handle `dtype` and `optimize` kwargs HOT 2
- Proper usage of sparse 3D array: initialization, assignment of values and use in calculations HOT 2
- np.diff equivalent HOT 2
- DeprecationWarning: coords should be an ndarray. This will raise a ValueError in the future. HOT 1
- Test failures in test_tensordot HOT 14
- Correct type hint for sparse COO matrix? HOT 1
- numpy ufuncs can change the compression of a gcxs array HOT 12
- Support `arr.size >= 2 ** 64` as long as each dimension is `< 2 ** 64` HOT 1
- Constructing GCXS from non-canonical `scipy.sparse.csr_matrix` results in wrong results HOT 5
- Support for Fortran order in COO.flatten() HOT 1
- Consider MatRepr for `__repr__` and `_repr_html_` HOT 9
- `GCXS` matmul => slice leads to incorrect results HOT 4
- `TypeError` when accessing `.real` and `.imag` attribute on sparse array of string type
- Installing directly from GitHub fails on Python 3.12 HOT 5
- Some functions seem missing from the top level import HOT 2
- [conda] Sparse version string is not recognized by pip list/check HOT 1
- Segmentation fault on arm64 HOT 12
- Remove runtime dependency on SciPy HOT 1
- Xarray/Numpy/Dask Indexing using a Sparse Array HOT 6
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from sparse.