import scipp as sc

sc.scalar('abc').broadcast(dims=('x',), shape=(10000,))  # ok
sc.scalar('abc').broadcast(dims=('x',), shape=(100000,))  # Jupyter HTML repr raises

---------------------------------------------------------------------------
DTypeError                                Traceback (most recent call last)
File ~/miniconda3/envs/dev/lib/python3.8/site-packages/IPython/core/formatters.py:343, in BaseFormatter.__call__(self, obj)
    341     method = get_real_method(obj, self.print_method)
    342     if method is not None:
--> 343         return method()
    344     return None
    345 else:

File ~/code/scipp/scipp/src/scipp/html/__init__.py:39, in make_html(container)
     36 from .formatting_html import dataset_repr, variable_repr
     38 if isinstance(container, Variable):
---> 39     return variable_repr(container)
     40 elif isinstance(container, DataGroup):
     41     return datagroup_repr(container)

File ~/code/scipp/scipp/src/scipp/html/formatting_html.py:534, in variable_repr(var)
    530 def variable_repr(var):
    531     obj_type = "scipp.{}".format(type(var).__name__)
    533     header_components = [
--> 534         f"<div class='sc-obj-type'>{escape(obj_type)} " + _format_size(var) + "</div>"
    535     ]
    537     sections = [variable_section(var)]
    539     return _obj_repr(header_components, sections)

File ~/code/scipp/scipp/src/scipp/html/formatting_html.py:497, in _format_size(obj)
    496 def _format_size(obj):
--> 497     view_size = obj.__sizeof__()
    498     underlying_size = obj.underlying_size()
    499     res = f"({human_readable_size(view_size)}"

DTypeError: 'size_of' does not support dtypes 'int64', 'int64',