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fix pi052 runtime and training safety
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@@ -16,6 +16,8 @@
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from types import SimpleNamespace
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import pytest
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from lerobot.policies import factory
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from lerobot.policies.pi0_fast.configuration_pi0_fast import PI0FastConfig
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from lerobot.policies.pi052 import fit_fast_tokenizer as fit_module
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@@ -48,6 +50,27 @@ def test_pi0_fast_resolves_dataset_specific_tokenizer(monkeypatch, tmp_path):
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}
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def test_fast_fit_failure_is_not_silently_replaced(monkeypatch, tmp_path):
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config = PI0FastConfig(auto_fit_fast_tokenizer=True, fast_tokenizer_cache_dir=str(tmp_path))
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monkeypatch.setattr(
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fit_module,
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"fit_fast_tokenizer",
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lambda **kwargs: (_ for _ in ()).throw(RuntimeError("fit failed")),
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)
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with pytest.raises(RuntimeError, match="fit failed"):
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fit_module.resolve_fast_tokenizer(config, "user/dataset")
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def test_each_node_uses_its_local_rank_zero_as_fit_leader(monkeypatch):
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monkeypatch.setenv("RANK", "8")
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monkeypatch.setenv("LOCAL_RANK", "0")
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assert fit_module._is_local_leader()
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monkeypatch.setenv("LOCAL_RANK", "1")
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assert not fit_module._is_local_leader()
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def test_pretrained_pi0_fast_overrides_only_fitted_tokenizer(monkeypatch):
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config = PI0FastConfig(auto_fit_fast_tokenizer=True)
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calls = []
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