Bump juliacall from 0.9.15 to 0.9.19 (#569)

* Bump juliacall from 0.9.15 to 0.9.16

Bumps [juliacall](https://github.com/JuliaPy/PythonCall.jl) from 0.9.15 to 0.9.16.
- [Release notes](https://github.com/JuliaPy/PythonCall.jl/releases)
- [Commits](https://github.com/JuliaPy/PythonCall.jl/compare/v0.9.15...v0.9.16)

---
updated-dependencies:
- dependency-name: juliacall
dependency-type: direct:production
update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>

* Remove `seval` overwrite

* Bump to juliacall 0.9.17

* Better range of Julia versions

* Fix Julia versions

* Bump juliacall version to 0.9.18

* Bump juliacall version to 0.9.19

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Miles Cranmer <miles.cranmer@gmail.com>

pysr/julia_import.py

@@ -37,17 +37,6 @@ else:
 
 from juliacall import Main as jl  # type: ignore
 
-# Overwrite the seval function to use Meta.parseall
-# instead of Meta.parse.
-jl.seval("using PythonCall: PythonCall, Py, pyconvert")
-jl.seval(
-    """function PythonCall.pyjlmodule_seval(self::Module, expr::Py)
-    e = Meta.parseall(strip(pyconvert(String, expr)))
-    Py(Base.eval(self, e))
-end"""
-)
-# ^TODO: Overwrite this once PythonCall.jl is updated:
-
 jl_version = (jl.VERSION.major, jl.VERSION.minor, jl.VERSION.patch)
 
 # Next, automatically load the juliacall extension if we're in a Jupyter notebook

pysr/juliapkg.json

@@ -1,5 +1,5 @@
 {
-    "julia": "~1.6, ~1.7, ~1.8, ~1.9, =1.10.0, ^1.10.3",
+    "julia": "~1.6.7, ~1.7, ~1.8, ~1.9, ~1.10",
     "packages": {
         "SymbolicRegression": {
             "uuid": "8254be44-1295-4e6a-a16d-46603ac705cb",

requirements.txt

@@ -2,7 +2,7 @@ sympy>=1.0.0,<2.0.0
 pandas>=0.21.0,<3.0.0
 numpy>=1.13.0,<2.0.0
 scikit_learn>=1.0.0,<2.0.0
-juliacall==0.9.15
+juliacall==0.9.19
 click>=7.0.0,<9.0.0
 setuptools>=50.0.0
 typing_extensions>=4.0.0,<5.0.0; python_version < "3.8"