fix: partial fix

Signed-off-by: Henry Schreiner <[email protected]>

setup.cfg

@@ -57,7 +57,6 @@ packages =
     boost_histogram._internal
     boost_histogram.axis
 install_requires =
-    uhi
     numpy>=1.26.0b1;python_version>='3.12'
     numpy;python_version<'3.12'
     typing-extensions;python_version<'3.8'

src/boost_histogram/__init__.py

@@ -3,6 +3,9 @@
 from . import accumulators, axis, numpy, storage
 from ._internal.enum import Kind
 from ._internal.hist import Histogram, IndexingExpr
+from .tag import (
+    Rebinner as rebin,
+)
 from .tag import (  # pylint: disable=redefined-builtin
     loc,
     overflow,
@@ -34,6 +37,7 @@
     "accumulators",
     "numpy",
     "loc",
+    "rebin",
     "sum",
     "underflow",
     "overflow",

src/boost_histogram/_internal/hist.py

@@ -854,12 +854,12 @@ def __getitem__(self: H, index: IndexingExpr) -> H | float | Accumulator:
             if ind != slice(None):
                 merge = 1
                 if ind.step is not None:
-                    if ind.step.factor is not None:
+                    if getattr(ind.step, "factor", None) is not None:
                         merge = ind.step.factor
                     elif callable(ind.step):
                         if ind.step is sum:
                             integrations.add(i)
-                        elif ind.step.groups is not None:
+                        elif getattr(ind.step, "groups", None) is not None:
                             groups = ind.step.groups
                         else:
                             raise NotImplementedError
@@ -904,9 +904,8 @@ def __getitem__(self: H, index: IndexingExpr) -> H | float | Accumulator:
                 new_axes_indices += [axes[i].edges[j + 1 : j + group + 1][-1]]
                 j = group
 
-            variable_axis = Variable(new_axes_indices)
-            variable_axis.metadata = axes[i].metadata
-            axes[i] = variable_axis
+            variable_axis = Variable(new_axes_indices, metadata=axes[i].metadata)
+            axes[i] = variable_axis._axis
             reduced_view = np.take(reduced_view, range(len(reduced_view)), axis=i)
 
             logger.debug("Axes: %s", axes)

src/boost_histogram/tag.py

@@ -4,12 +4,12 @@
 
 import copy
 from builtins import sum
-from typing import Sequence, TypeVar
+from typing import TYPE_CHECKING, Sequence, TypeVar
 
-from uhi.typing.plottable import PlottableAxis
+if TYPE_CHECKING:
+    from uhi.typing.plottable import PlottableAxis
 
 from ._internal.typing import AxisLike
-from .axis import Regular, Variable
 
 __all__ = ("Slicer", "Locator", "at", "loc", "overflow", "underflow", "Rebinner", "sum")
 
@@ -114,21 +114,17 @@ class Rebinner:
     __slots__ = (
         "factor",
         "groups",
-        "category_map",
     )
 
     def __init__(
         self,
+        factor: int | None = None,
         *,
-        value: int | None = None,
         groups: Sequence[int] | None = None,
     ) -> None:
-        if (
-            sum(i is None for i in [value, groups]) == 2
-            or sum(i is not None for i in [value, groups]) > 1
-        ):
+        if not sum(i is None for i in [factor, groups]) == 1:
             raise ValueError("exactly one, a value or groups should be provided")
-        self.factor = value
+        self.factor = factor
         self.groups = groups
 
     def __repr__(self) -> str:
@@ -144,12 +140,10 @@ def __repr__(self) -> str:
         return return_str
 
     def __call__(self, axis: PlottableAxis) -> int | Sequence[int]:
-        if isinstance(axis, Regular):
-            if self.factor is None:
-                raise ValueError("must provide a value")
-            return self.factor
-        if isinstance(axis, Variable):
-            if self.groups is None:
-                raise ValueError("must provide bin groups")
+        if self.factor is not None:
+            return [self.factor] * (len(axis) // self.factor)
+
+        if self.groups is not None:
             return self.groups
+
         raise NotImplementedError(axis)