Releases: labsyspharm/scimap
Releases · labsyspharm/scimap
Release-2.1.3
update dask version and fix axes bug in heatmap
Release-2.1.0
Release post peer-review
Release-2.0.0
version upgrade
Release-1.3.3
edit test for kmeans clustering as defauls have changed
Release-1.0.0
update packages
Release-0.22.0
doc up
Release-0.19.0
- Included support for
Apple M1
machines - Included support for native rendering of Zarr stored images using Napari:
pl.image_viewer
andpl.gate_finder
Temporary workaround for installing in Apple M1
machines
# reate and load a new environment
conda create --name scimap python=3.8 -y
conda activate scimap
# if you do not have xcode please install it
xcode-select --install
# if you do not have homebrew please install it
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
# if you do not have cmake install it
brew install cmake
# install h5py
brew install [email protected]
export HDF5_DIR=/opt/homebrew/Cellar/hdf5/1.12.1_1/
pip install --no-binary=h5py h5py
# install llvmlite
conda install llvmlite -y
# install leidenalg
pip install git+https://github.com/vtraag/leidenalg.git
# install scimap
pip install -U scimap
# uninstall
conda remove llvmlite -y
pip uninstall numba -y
pip uninstall numpy -y
# reinstall this specific version of llvmlite (ignore errors/warning)
pip install -i https://pypi.anaconda.org/numba/label/wheels_experimental_m1/simple llvmlite
# reinstall this specific version of numpy (ignore errors/warning)
pip install numpy==1.22.3
# reinstall this specific version of numba (ignore errors/warning)
pip install -i https://pypi.anaconda.org/numba/label/wheels_experimental_m1/simple numba
Release-0.18.1
update 2
Release-0.17.7
Testing the new GitHub Action that automatically builds, tags and pushed Docker container images. The action is triggered by new releases.
Release-0.17.6
docker edit to force upgrade