print tracer type in tree repr/str

sepes/_src/tree_base.py

@@ -155,11 +155,11 @@ class TreeClass(metaclass=TreeClassMeta):
         the tree. for example:
 
         >>> @sp.leafwise
-        ... @sp.autoinit
         ... class Tree(sp.TreeClass):
-        ...     a:int = 1
-        ...     b:float = 2.0
-        >>> tree = Tree()
+        ...     def __init__(self, a:int, b:float):
+        ...         self.a = a
+        ...         self.b = b
+        >>> tree = Tree(a=1, b=2.0)
         >>> tree + 1  # will add 1 to each leaf
         Tree(a=2, b=3.0)
 
@@ -168,11 +168,11 @@ class TreeClass(metaclass=TreeClassMeta):
         used to ``get``, ``set``, or ``apply`` a function to a leaf or a group of
         leaves using ``leaf`` name, index or by a boolean mask.
 
-        >>> @sp.autoinit
-        ... class Tree(sp.TreeClass):
-        ...     a:int = 1
-        ...     b:float = 2.0
-        >>> tree = Tree()
+        >>> class Tree(sp.TreeClass):
+        ...     def __init__(self, a:int, b:float):
+        ...         self.a = a
+        ...         self.b = b
+        >>> tree = Tree(a=1, b=2.0)
         >>> tree.at["a"].get()
         Tree(a=1, b=None)
         >>> tree.at[0].get()
@@ -274,14 +274,14 @@ def at(self) -> AtIndexer[Self]:
 
         Example:
             >>> import sepes as sp
-            >>> @sp.autoinit
-            ... class Tree(sp.TreeClass):
-            ...    a: int = 1
-            ...    b: float = 2.0
+            >>> class Tree(sp.TreeClass):
+            ...    def __init__(self, a:int, b:float):
+            ...        self.a = a
+            ...        self.b = b
             ...    def add(self, x: int) -> int:
             ...        self.a += x
             ...        return self.a
-            >>> tree = Tree()
+            >>> tree = Tree(a=1, b=2.0)
             >>> tree.at["a"].get()
             Tree(a=1, b=None)
             >>> tree.at["a"].set(100)

sepes/_src/tree_pprint.py

@@ -182,7 +182,7 @@ def _(node: ft.partial, **spec: Unpack[PPSpec]) -> str:
     func = tree_str.pp(node.func, **spec)
     args = tree_str.pps(tree_str.pp, node.args, **spec)
     keywords = tree_str.pps(tree_str.kv_pp, node.keywords, **spec)
-    return f"Partial(" + ",".join([func, args, keywords]) + ")"
+    return "partial(" + ",".join([func, args, keywords]) + ")"
 
 
 @tree_str.def_type(list)
@@ -448,26 +448,6 @@ def tree_summary(
         │Σ        │list  │6    │12.00B│
         └─────────┴──────┴─────┴──────┘
 
-    Example:
-        Set custom type display for ``jax`` jaxprs
-
-        >>> import jax
-        >>> import sepes as sp
-        >>> ClosedJaxprType = type(jax.make_jaxpr(lambda x: x)(1))
-        >>> @sp.tree_summary.def_type(ClosedJaxprType)
-        ... def _(expr: ClosedJaxprType) -> str:
-        ...     jaxpr = expr.jaxpr
-        ...     return f"Jaxpr({jaxpr.invars}, {jaxpr.outvars})"
-        >>> def func(x, y):
-        ...     return x
-        >>> jaxpr = jax.make_jaxpr(func)(1, 2)
-        >>> print(sp.tree_summary(jaxpr))
-        ┌────┬──────────────────┬─────┬────┐
-        │Name│Type              │Count│Size│
-        ├────┼──────────────────┼─────┼────┤
-        │Σ   │Jaxpr([a, b], [a])│1    │    │
-        └────┴──────────────────┴─────┴────┘
-
     Example:
         Display flops of a function in tree summary
 
@@ -628,7 +608,7 @@ def _(node, **spec: Unpack[PPSpec]) -> str:
         shape = node.aval.shape
         dtype = node.aval.dtype
         string = tree_repr.dispatch(ShapeDTypePP(shape, dtype), **spec)
-        return f"Tracer({string})"
+        return f"{type(node).__name__}({string})"
 
     # handle the sharding info if it is sharded
     @tree_summary.def_type(jax.Array)

sepes/_src/tree_util.py

@@ -226,7 +226,8 @@ def leafwise(klass: type[T]) -> type[T]:
         The decorated class.
 
     Example:
-        >>> # use ``numpy`` functions on :class:`TreeClass`` classes decorated with ``leafwise``
+        Use ``numpy`` functions on :class:`TreeClass`` classes decorated with :func:`leafwise`
+
         >>> import sepes as sp
         >>> import jax.numpy as jnp
         >>> @sp.leafwise

tests/test_pprint.py

@@ -243,9 +243,9 @@ def test_tracer_repr():
     @jax.jit
     def f(x):
         out = tree_repr(x)
-        assert out == "Tracer(f32[10,10])"
+        assert out == "DynamicJaxprTracer(f32[10,10])"
         out = tree_str(x)
-        assert out == "Tracer(f32[10,10])"
+        assert out == "DynamicJaxprTracer(f32[10,10])"
         return x
 
     f(jax.numpy.ones((10, 10)))