Fix sample weight generation in MIA tests and add test sharding to single_layer_softmax_test. - #648
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…ngle_layer_softmax_test. * Fix MIA sample weight generation: Replace `rng.randn` with `rng.rand` in `membership_inference_attack_test.py` to ensure non-negative sample weights required by `RandomForestClassifier`'s bootstrap sampling logic. * Add sharding to `single_layer_softmax_test`: Migrate to `absltest` and set `shard_count = 4` in the BUILD file to execute parameterized test cases in parallel and reduce test runtime. PiperOrigin-RevId: 967247763
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Fix sample weight generation in MIA tests and add test sharding to single_layer_softmax_test.
rng.randnwithrng.randinmembership_inference_attack_test.pyto ensure non-negative sample weights required byRandomForestClassifier's bootstrap sampling logic.single_layer_softmax_test: Migrate toabsltestand setshard_count = 4in the BUILD file to execute parameterized test cases in parallel and reduce test runtime.