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import os
import sys
import warnings
# Check if JuliaCall is already loaded, and if so, warn the user
# about the relevant environment variables. If not loaded,
# set up sensible defaults.
if "juliacall" in sys.modules:
warnings.warn(
"juliacall module already imported. "
"Make sure that you have set the environment variable `PYTHON_JULIACALL_HANDLE_SIGNALS=yes` to avoid segfaults. "
"Also note that PySR will not be able to configure `JULIA_NUM_THREADS` or `JULIA_OPTIMIZE` for you."
)
else:
# Required to avoid segfaults (https://juliapy.github.io/PythonCall.jl/dev/faq/)
if os.environ.get("PYTHON_JULIACALL_HANDLE_SIGNALS", "yes") != "yes":
warnings.warn(
"PYTHON_JULIACALL_HANDLE_SIGNALS environment variable is set to something other than 'yes' or ''. "
+ "You will experience segfaults if running with multithreading."
)
if os.environ.get("JULIA_NUM_THREADS", "auto") != "auto":
warnings.warn(
"JULIA_NUM_THREADS environment variable is set to something other than 'auto', "
"so PySR was not able to set it. You may wish to set it to `'auto'` for full use "
"of your CPU."
)
# TODO: Remove these when juliapkg lets you specify this
for k, default in (
("PYTHON_JULIACALL_HANDLE_SIGNALS", "yes"),
("JULIA_NUM_THREADS", "auto"),
("JULIA_OPTIMIZE", "3"),
):
os.environ[k] = os.environ.get(k, default)
# Next, automatically load the juliacall extension if we're in a Jupyter notebook
if os.environ.get("PYSR_AUTOLOAD_EXTENSIONS", "yes") in {"yes", ""}:
try:
get_ipython = sys.modules["IPython"].get_ipython
if "IPKernelApp" not in get_ipython().config:
raise ImportError("console")
print(
"Detected Jupyter notebook. Loading juliacall extension. Set `PYSR_AUTOLOAD_EXTENSIONS=no` to disable."
)
# TODO: Turn this off if juliacall does this automatically
get_ipython().run_line_magic("load_ext", "juliacall")
except Exception:
pass
elif os.environ["PYSR_AUTOLOAD_EXTENSIONS"] not in {"no", "yes", ""}:
warnings.warn(
"PYSR_AUTOLOAD_EXTENSIONS environment variable is set to something other than 'yes' or 'no' or ''."
)
from juliacall import Main as jl # type: ignore
# Finally, overwrite the seval function to use Meta.parseall
# instead of Meta.parse.
if jl.seval('VERSION >= v"1.9.0-DEV.0"'):
# TODO: Overwrite this once PythonCall.jl is updated:
def seval(s: str):
return jl.eval(jl.Meta.parseall(s))
jl.seval = seval
jl.seval("using SymbolicRegression")
SymbolicRegression = jl.SymbolicRegression
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