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Use environment variable to identify conda / mamba (#14515)...
Use environment variable to identify conda / mamba (#14515) Conda and mamba both set an environment variable which refers to the base environment's executable path, use that in preference to less reliable methods, but fall back on the other approaches if unable to locate the executable this way. Additionally, change the search to look for the bare command name rather than the command within the top level of the active environment, I'm dubious this approach works with any current conda / mamba version which usually place their executable links in a `condabin` directory or elsewhere not at the same level as the Python executable. I believe this will also address https://github.com/ipython/ipython/issues/14350, which I'm also seeing in a Windows context where the regex fails to parse and causes a traceback.

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README.txt
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===========================================================
Self-contained IPython installation with all dependencies
===========================================================
This is a self-contained source distribution of IPython with all its
*non-graphical* dependencies, that installs in a single ``make`` call to your
home directory (by default) or any location of your choice.
This distribution is meant for developer-type usage in Unix environments, it is
*not* an easy way to get IPython working on Windows, since it assumes the
presence of a working compiler and development tools.
Currently, the distribution contains::
ipython-0.9.1.tar.gz
pyOpenSSL-0.6.tar.gz
zope.interface-3.4.1.tar.gz
Twisted-8.1.0.tar.bz2
foolscap-0.3.1.tar.gz
nose-0.10.3.tar.gz
Usage
=====
Download the single tarball where this README file lives and unpack it. If
your system is already configured as described below, these lines will do the
whole job::
wget http://ipython.scipy.org/dist/alldeps/ipython-alldeps-0.9.1.tar
tar xf ipython-alldeps-0.9.1.tar
cd ipython-alldeps-0.9.1
make
If all goes well, then just type::
iptest
to run IPython's test suite.
It is meant to be used in an environment where you have your ``$PATH``,
``$PYTHONPATH``, etc variables properly configured, so that the installation of
packages can be made with (using ``~/usr/local`` as an example)::
pip install . --prefix=~/usr/local
For an explanation of how to do this, see below.
You can configure the default prefix used by editing the file
``pkginstall.cfg``, where you can also override the python version used for the
process. If your system is configured in this manner, you can simply type::
make
and this will build and install all of IPython's non-graphical dependencies on
your system, assuming you have Python, a compiler, the Python headers and the
SSL headers available.
.. _environment_configuration:
Environment configuration
=========================
Below is an example of what to put in your ``~/.bashrc`` file to configure your
environment as described in this document, in a reasonably portable manner that
takes 64-bit operating systems into account::
# For processor dependent config
MACHINE=$(uname -m)
# Python version information
PYVER=$(python -ESV 2>&1)
PYVER_MINOR=${PYVER#Python }
PYVER_MAJOR=${PYVER_MINOR:0:3}
function export_paths {
# Export useful paths based on a common prefix
# Input: a path prefix
local prefix=$1
local pp
local lp
local pypath=python${PYVER_MAJOR}/site-packages
# Compute paths with 64-bit specifics
if [[ $MACHINE == "x86_64" ]]; then
lp=$prefix/lib64:$prefix/lib
pp=$prefix/lib64/$pypath:$prefix/lib/$pypath
else
lp=$prefix/lib
pp=$prefix/lib/$pypath
fi
# Set paths based on given prefix
export PATH=$prefix/bin:$PATH
export CPATH=$prefix/include:$CPATH
export LD_LIBRARY_PATH=$lp:$LD_LIBRARY_PATH
export LIBRARY_PATH=$lp:$LIBRARY_PATH
export PYTHONPATH=$pp:$PYTHONPATH
}
# Actually call the export function to set the paths. If you want more than
# one such prefix, note that the call *prepends* the new prefix to the
# existing paths, so later calls take priority.
export_paths $HOME/usr/local