CHomP (Computational Homology Project) with Python bindings

To get the latest tagged version from the PyPi repository:

pip install pychomp

To uninstall:

pip uninstall pychomp

To get the bleeding edge version (i.e., this repo):

git clone https://github.com/shaunharker/pyCHomP.git
cd pyCHomP
git submodule update --init --recursive
pip install . --ignore-installed --no-cache-dir -v -v -v --user

Try Anaconda3 https://www.anaconda.com.

This will install into a folder named anaconda3 and add a line in ~/.bash_profile:

#added by Anaconda3 5.0.1 installer
#export PATH="/PATH/TO/anaconda3/bin:$PATH"

This will redirect command line python and pip. Note you may have to start a new bash session for the path changes to take effect (i.e. close and reopen the terminal program). This has the effect of plastering over any problems you might be having with multiple installations/permissions problems/jupyter not seeing the package/etc.

After installing this,

pip install jupyter

and try the installation above again.

If the installation gives permissions issues, oftentimes the culprit is broken permissions on the subfolders of the homebrew folder /usr/local.

First, see what

brew doctor

says. A common fix is:

sudo chown -R $(whoami) $(brew --prefix)/*

If it still doesn't work after this, then you might try uninstalling and reinstalling homebrew.

To uninstall homebrew:

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/uninstall)"

Or sudo if it gives issues:

sudo ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/uninstall)"

To install homebrew (don't use sudo here!):

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

If the package installs but it is not visible in jupyter, the likely problem is that the jupyter python kernel is not the same python for which pychomp was installed. That is, you may have multiple pythons on your system.

You can try to confirm this by typing

which python
which pip
which jupyter

Possible fixes include steps such as

1. checking/changing your environmental variable PATH in ~/.bash_profile or .bashrc
2. uninstalling python and jupyter, then reinstalling python then jupyter