ponder-lab / Hybridize-Functions-Refactoring / 26513890741
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Bump Ariadne to 0.45.0 (#560)

* Bump Ariadne to 0.45.0.

`com.ibm.wala.cast.python.ml` 0.44.0 → 0.45.0. The bump also adds the
`<classifier>fat</classifier>` qualifier on the Ariadne dependency in
`hybridize.target` because ponder-lab/ML#298 split the default `jar`
into a slim plain JAR and a `-fat` classifier that carries the shaded
contents (Guava, Jython3, WALA core/cast/cast.java, lsp4j, commons-cli,
etc.). Without the classifier, Tycho's target-platform resolution can't
find `com.google.common.collect` and downstream bundle resolution fails.

This is the first release with the slim+fat split: ponder-lab/ML#298
landed 2026-05-18, after the 0.44.0 tag on 2026-05-16.

Closes #559.

* Sweep `testHasLikelyTensorParameter*` expectations to Ariadne 0.45.0 typed dim sentinels

Mechanical update of 42 `testHasLikelyTensorParameter*` expected `TensorType`s
to match the new typed-sentinel encoding Ariadne 0.45.0 emits per wala/ML#545
(`DynamicDim`) and ponder-lab/ML#320 (`RaggedDim`):

- Tests 100-104, 124, 125 (`keras.Input`): leading batch dim `null`
  → `DynamicDim.INSTANCE`.
- Tests 59-66 (`RaggedTensor.from_nested_row_splits`), 71-82
  (`RaggedTensor.from_row_*` / `from_value_rowids`): interior ragged dims
  `null` → `RaggedDim.INSTANCE`.
- Tests 67-70 (`from_nested_value_rowids`), 118-122 (`from_nested_row_lengths`):
  mixed shape `(4, None, None, None)` → ragged dims at positions 1-2
  (`RaggedDim.INSTANCE`) plus a dynamic flat-values dim at position 3
  (`DynamicDim.INSTANCE`).
- Tests 112-117 (`ragged.range`): both parameter and signature dims tighten
  from `null` / `SymbolicDim("?")` to `NumericDim(5)` per ponder-lab/ML#332's
  `RaggedRange` precision improvement.

Also adds the two new imports (`DynamicDim`, `RaggedDim`) and drops the
now-resolved typed-sentinel TODO from `testHasLikelyTensorParameter59()`'s
docstring; the Hybridize#524 `RaggedTensorSpec` emission TODO stays.

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