udim commented on a change in pull request #13493:
URL: https://github.com/apache/beam/pull/13493#discussion_r538958762
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File path: sdks/python/apache_beam/transforms/util.py
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@@ -785,7 +788,6 @@ def expand(self, pcoll):
@experimental()
@typehints.with_input_types(Tuple[K, V])
- @typehints.with_output_types(Tuple[K, Iterable[V]])
Review comment:
I don't believe you need infer_output_type if you have the
with_output_types decorator.
Also, I tested this a bit myself and it ended up looking like this:
```py
@typehints.with_input_types(typehints.Tuple[K_i, V_i])
@typehints.with_output_types(typehints.Tuple[ShardedKeyType[K_i],
typehints.Iterable[V_i]])
class WithShardedKey(PTransform):
```
where:
```py
K_i = typehints.TypeVariable('K_i')
V_i = typehints.TypeVariable('V_i')
```
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