Merge branch 'store-options' into sympy-or

docs/operators.md

@@ -14,6 +14,9 @@ A selection of these and other valid operators are stated below.
 - `*`
 - `/`
 - `^`
+- `max`
+- `min`
+- `mod`
 - `cond`
     - Equal to `(x, y) -> x > 0 ? y : 0`
 - `greater`
@@ -22,7 +25,6 @@ A selection of these and other valid operators are stated below.
     - Equal to `(x, y) -> (x > 0 || y > 0) ? 1 : 0`
 - `logical_and`
     - Equal to `(x, y) -> (x > 0 && y > 0) ? 1 : 0`
-- `mod`
 
 **Unary**
 
@@ -60,7 +62,7 @@ A selection of these and other valid operators are stated below.
 ## Custom
 
 Instead of passing a predefined operator as a string,
-you can define with by passing it to the `pysr` function, with, e.g.,
+you can just define a custom function as Julia code. For example:
 
 ```python
     PySRRegressor(

pysr/export_sympy.py

@@ -47,9 +47,9 @@
     "ceil": sympy.ceiling,
     "sign": sympy.sign,
     "gamma": sympy.gamma,
+    "round": lambda x: sympy.ceiling(x - 0.5),
     "max": lambda x, y: sympy.Piecewise((y, x < y), (x, True)),
     "min": lambda x, y: sympy.Piecewise((x, x < y), (y, True)),
-    "round": lambda x: sympy.ceiling(x - 0.5),
     "cond": lambda x, y: sympy.Piecewise((y, x > 0), (0.0, True)),
     "logical_or": lambda x, y: sympy.Piecewise((1.0, (x > 0) | (y > 0)), (0.0, True)),
     "logical_and": lambda x, y: sympy.Piecewise((1.0, (x > 0) & (y > 0)), (0.0, True)),

pysr/version.py

@@ -1,2 +1,2 @@
-__version__ = "0.16.4"
+__version__ = "0.16.5"
 __symbolic_regression_jl_version__ = "0.22.5"