Bump SymbolicRegression.jl version with stdin fix

Merge pull request #87 from MilesCranmer/pyjulia

Remove fixed python version from env file

Skip JAX/Torch tests for conda version

Fix incorrect python binary in test

Switch miniconda test to using env file

Switch to mamba

Fix conda-based install of PySR

Add code citation

Explicit test for user warning

Only run conda test on one matrix element

Create integration test for static libpython linking

Add workaround for statically-linked libpython

Add missing pyjulia to requirements.txt

Can now quit execution early and obtain the equations

Get dockerfile working with PyJulia

Describe speedup on second PySR calls

Update docs on installation

Update installation instructions

Format code with black

Include additional kwargs if passed

Instead release as alpha version of 0.7

Fix removed kwarg from test

Cleanup unused imports

Clean up use of global

Clean up Feynman problems

Change version to release candidate

Add missing top-level import

Make pysr.install() install/update packages

Don't return julia output, store in global state

Force update and precompile on all launches

Set up PyJulia in CI

Only activate env on first run

Bump version with PyJulia only

Add PyJulia to setup.py

Remove non-PyJulia parts of codebase

PyJulia actually works for distributed if done internally

Use more pure-PyJulia calls rather than evals

Fix issue with re-running outside pyjulia

Let Julia not PyJulia evaluate runfile

Avoid activating package twice with pyjulia

Initial working version with PyJulia

Clean up unused imports

Add commands for Dockerfile

Create Dockerfile which launches with IPython

Add markdown comment so Hugo thinks there's no HTML

Fix bug with curMSE equal to 0.0

Change default procs to be # of cores

Expand testing to Julia 1.7, python 3.9

Remove mistaken local Project.toml from example.py