dafit
f640dbdd65
- CLI: nyx-probe scan with --summary/--delta/--full flags - DriftProbe: training safety with Gini coefficient + Angular Drift - Vocabulary: 54 terms (30 nimmerverse + 24 German philosophical) - Sentinels: ANCHOR/BRIDGE/CANARY/TARGET monitoring system Key findings: - German philosophical terms: 37.5% depth≥2 hit rate (vs 3.3% nimmerverse) - Super Cluster validated: heart cross-lang sim = 1.000 - Isolated Zone confirmed: being EN↔DE sim = 0.195 - Gini signature: Philosophy ~0.5 (diffuse), Technical ~0.8 (sparse) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
59 lines
1.4 KiB
Python
59 lines
1.4 KiB
Python
"""
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Base class for all probes.
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Probes are measurement instruments - they reveal what's already there,
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they don't add or change anything.
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"""
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from abc import ABC, abstractmethod
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from typing import Any
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from ..core.model import NyxModel
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class BaseProbe(ABC):
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"""Abstract base class for probing operations."""
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def __init__(self, model: NyxModel):
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"""
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Initialize probe with a loaded model.
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Args:
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model: A NyxModel instance (must be loaded)
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"""
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self.model = model
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if not model._loaded:
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raise ValueError("Model must be loaded before creating probe")
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@property
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def name(self) -> str:
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"""Name of this probe type."""
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return self.__class__.__name__
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@abstractmethod
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def probe(self, term: str, **kwargs) -> Any:
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"""
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Probe a single term.
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Args:
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term: The word/phrase to probe
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**kwargs: Probe-specific parameters
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Returns:
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Probe-specific result object
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"""
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pass
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def probe_batch(self, terms: list[str], **kwargs) -> list[Any]:
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"""
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Probe multiple terms.
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Default implementation just loops; subclasses can optimize.
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Args:
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terms: List of words/phrases to probe
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**kwargs: Probe-specific parameters
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Returns:
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List of probe results
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"""
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return [self.probe(term, **kwargs) for term in terms]
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