96c9cc9ac6
Change-detectors, tautologies, source-reading tests, redundant duplicates, mock-echo tests and dead/unrunnable tests. Per-test rationale in the lane ledger (category + reason for every removal).
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
"""Tests for the data-training-tier selection guard."""
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from hermes_cli.model_data_policy_guard import (
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DataTrainingWarning,
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data_training_warning,
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)
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def test_fires_on_meta_contributor():
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w = data_training_warning("muse-spark-1.2-contributor", provider="meta-ai")
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assert isinstance(w, DataTrainingWarning)
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assert w.model == "muse-spark-1.2-contributor"
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assert w.message
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def test_silent_on_non_contributor_muse():
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assert data_training_warning("muse-spark-1.2", provider="meta-ai") is None
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assert data_training_warning("muse-spark-1.1", provider="meta-ai") is None
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def test_silent_on_unrelated_models():
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for m in ("anthropic/claude-opus-4.8", "gpt-5.6-sol", "deepseek-v4-pro", ""):
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assert data_training_warning(m, provider="anthropic") is None
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def test_fires_regardless_of_provider_string():
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# id-keyed: must fire even if selected via custom/gateway (no meta-ai provider)
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assert data_training_warning("muse-spark-1.2-contributor", provider="custom") is not None
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assert data_training_warning("muse-spark-1.2-contributor") is not None
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def test_case_insensitive():
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assert data_training_warning("MUSE-SPARK-1.2-CONTRIBUTOR", provider="meta-ai") is not None
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