Also add checks for runtime broadcast

These show up in the gradient of Convolve1D

Such that its name can be more informative.

They could get tested independently.
This was mostly done to understand their purpose.

...in print statements

Convert lines when `parse=False` from generator to list.
The result when `parse=False` is only used in a warning message,
and I don't think the generator would even print properly.

That's the only possible definition, and the type checker is freaking out.

The backslashes in `__file__` created invalid escape sequences.

* Building wheel...
/tmp/build-env-vi5sasbz/lib/python3.12/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!
        ********************************************************************************
        Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).
        By 2026-Feb-18, you need to update your project and remove deprecated calls
        or your builds will no longer be supported.
        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************
!!
  corresp(dist, value, root_dir)
/tmp/build-env-vi5sasbz/lib/python3.12/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!
        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:
        License :: OSI Approved :: BSD License
        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

Sometimes `_create_dummy_core_node` can create a multi-node graph, where the root inputs are not `node.inputs`. Then infer_shape may bypass the intermediate nodes. This was the case with Subtensor, which introduces `ScalarFromTensor` nodes, but ignores them in the shape graph (for a cleaner graph)