Let compiler know the main loop is inbounds; this speeds up the code significantly

julia/sr.jl

@@ -807,7 +807,7 @@ function fullRun(niterations::Integer;
     end
 
     while cycles_complete > 0
-        for i=1:npopulations
+        @inbounds for i=1:npopulations
             # Non-blocking check if a population is ready:
             if isready(channels[i])
                 # Take the fetch operation from the channel since its ready

setup.py

@@ -5,7 +5,7 @@ with open("README.md", "r") as fh:
 
 setuptools.setup(
     name="pysr", # Replace with your own username
-    version="0.3.12",
+    version="0.3.13",
     author="Miles Cranmer",
     author_email="miles.cranmer@gmail.com",
     description="Simple and efficient symbolic regression",