Robin De Schepper

Results 100 issues of Robin De Schepper

Spawning a make subprocess should be done through use of the `$(MAKE)` variable so that the child process receives all the information it needs. closes #2395. I didn't check the...

T: Bug
S: High
I: No breaking change

**Describe the bug** Using `-j8` on `make install-nodoc` results in this error: ``` make[4]: warning: jobserver unavailable: using -j1. Add '+' to parent make rule. ``` and results in a...

T: Bug
S: High

**Describe the bug** The `setup.py` produced by CMake contains invalid version specifiers such as `python-cmake@6b17f32b1` which do not comply with [PEP440](https://www.python.org/dev/peps/pep-0440/) and lead to warnings in #1959 : ``` /home/robin/.pyenv/versions/3.9.0/envs/nest/lib/python3.9/site-packages/setuptools/dist.py:472:...

S: Normal
T: Maintenance
I: No breaking change
stale

**Describe the bug** If you first hit the "NEST must be installed in a virtual environment or with CMAKE_INSTALL_PREFIX", then switch to a venv and rerun, `CMAKE_INSTALL_PREFIX` will have been...

T: Bug
S: Normal
I: No breaking change
stale

### Progress * [X] Produce wheels in slightly modified NEST temporarily checked out repository ("wheel building env") with scripted modifications to be correctly processed by `cibuildwheel` * [x] Manylinux wheels...

T: Enhancement
S: Normal
I: No breaking change
stale

Running ``` pip install codecov codecov ``` on Semaphore CI fails with the following error: ``` Traceback (most recent call last): --   | File "/home/semaphore/.pyenv/3.7/bin/codecov", line 8, in   | sys.exit(main())  ...

This pull request aims to differentiate between `Semaphore Classic` and the new `Semaphore 2.0`. It uses the different env vars to detect the difference, specifically the `SEMAPHORE_REPO_SLUG` was used because...

I've built `libspatialindex` as follows: git clone https://github.com/libspatialindex/libspatialindex cd libspatialindex cmake . make install Then I move the produced `dylib` files to another directory during the CI pipeline of RTree...

How does this implementation compare in benchmarks to scipy.spatial.cKDTree or sklearn.neighbors.KDTree and is it capable of querying all neighbors within a radius?

Is there any integration/conversion possible to [pint](https://github.com/hgrecco/pint) units and quantities?