scikit-hep/boost-histogram: Version 0.12.0

Pressing forward to 1.0.

• You can now set all complex storages, either on a Histogram or a View with an (N+1)D array #475
• Axes are now normal __dict__ classes, you can manipulate the __dict__ as normal. Axes construction now lets you either use the old metadata shortcut or the __dict__ inline. #477

• Fixed slicing projection with one-sided slices #479
• Fixed issue if final bin of Variable histogram was infinite by updating to Boost 1.75 #470
• NumPy arrays can be used for weights in bh.numpy #472
• Vectorization for WeightedMean accumulators was broken #475

• Bumped to pybind11 version #470
• Black formatting used in notebooks too #470