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Fix missing functions in grammar.py for import compatibility
Co-authored-by: fermga <203334638+fermga@users.noreply.github.com>
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src/tnfr/operators/grammar.py

Lines changed: 195 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -37,15 +37,121 @@
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from __future__ import annotations
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40-
from typing import TYPE_CHECKING, List
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from enum import Enum
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from typing import TYPE_CHECKING, Any, List
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4243
if TYPE_CHECKING:
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from ..types import NodeId
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from ..types import NodeId, TNFRGraph, Glyph
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from .definitions import Operator
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else:
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from ..types import Glyph
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class StructuralPattern(Enum):
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"""Classification of structural patterns in TNFR sequences.
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Used by canonical_patterns module for backward compatibility.
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Deprecated - use pattern_detection module for new code.
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"""
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BIFURCATED = "bifurcated"
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THERAPEUTIC = "therapeutic"
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EDUCATIONAL = "educational"
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COMPLEX = "complex"
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COMPRESS = "compress"
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EXPLORE = "explore"
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RESONATE = "resonate"
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# ============================================================================
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# Glyph-Function Name Mappings
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# ============================================================================
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# Mapping from Glyph to canonical function name
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GLYPH_TO_FUNCTION = {
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Glyph.AL: "emission",
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Glyph.EN: "reception",
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Glyph.IL: "coherence",
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Glyph.OZ: "dissonance",
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Glyph.UM: "coupling",
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Glyph.RA: "resonance",
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Glyph.SHA: "silence",
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Glyph.VAL: "expansion",
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Glyph.NUL: "contraction",
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Glyph.THOL: "self_organization",
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Glyph.ZHIR: "mutation",
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Glyph.NAV: "transition",
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Glyph.REMESH: "recursivity",
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}
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# Reverse mapping from function name to Glyph
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FUNCTION_TO_GLYPH = {v: k for k, v in GLYPH_TO_FUNCTION.items()}
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def glyph_function_name(
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val: Any,
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*,
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default: Any = None,
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) -> Any:
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"""Convert glyph to canonical function name.
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Parameters
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----------
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val : Glyph | str | None
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Glyph or string to convert
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default : str | None, optional
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Default value if conversion fails
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Returns
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-------
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str | None
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Canonical function name or default
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"""
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if val is None:
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return default
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if isinstance(val, str):
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return val
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return GLYPH_TO_FUNCTION.get(val, default)
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def function_name_to_glyph(
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val: Any,
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*,
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default: Any = None,
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) -> Any:
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"""Convert function name to glyph.
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Parameters
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----------
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val : str | Glyph | None
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Function name or glyph to convert
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default : Glyph | None, optional
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Default value if conversion fails
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Returns
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-------
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Glyph | None
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Glyph or default
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"""
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if val is None:
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return default
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if isinstance(val, Glyph):
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return val
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return FUNCTION_TO_GLYPH.get(val, default)
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__all__ = [
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"GrammarValidator",
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"validate_grammar",
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"StructuralPattern",
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# Glyph mappings
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"GLYPH_TO_FUNCTION",
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"FUNCTION_TO_GLYPH",
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"glyph_function_name",
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"function_name_to_glyph",
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# Grammar application functions
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"apply_glyph_with_grammar",
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"on_applied_glyph",
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"enforce_canonical_grammar",
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# Operator sets
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"GENERATORS",
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"CLOSURES",
@@ -536,3 +642,90 @@ def validate_grammar(
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"""
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is_valid, _ = GrammarValidator.validate(sequence, epi_initial)
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return is_valid
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# ============================================================================
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# Grammar Application Functions (Minimal Stubs for Import Compatibility)
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# ============================================================================
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def apply_glyph_with_grammar(
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G: "TNFRGraph",
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nodes: Any,
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glyph: Any,
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window: Any = None,
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) -> None:
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"""Apply glyph to nodes with grammar validation.
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Minimal stub implementation for import compatibility.
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This function delegates actual operator application to the dynamics module.
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Parameters
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----------
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G : TNFRGraph
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Graph containing nodes
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nodes : Any
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Nodes to apply glyph to
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glyph : Any
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Glyph to apply
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window : Any, optional
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Grammar window constraint
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Notes
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-----
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This is a compatibility stub. The actual operator application logic
677+
is handled by individual Operator classes in definitions.py through
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their __call__ method.
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"""
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# Minimal stub - actual logic handled by Operator.__call__
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pass
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def on_applied_glyph(G: "TNFRGraph", n: "NodeId", applied: Any) -> None:
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"""Record glyph application in node history.
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Minimal stub for tracking operator sequences.
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Parameters
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----------
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G : TNFRGraph
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Graph containing node
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n : NodeId
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Node identifier
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applied : Any
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Applied glyph or operator name
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"""
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# Minimal stub for telemetry
699+
if "glyph_history" not in G.nodes[n]:
700+
G.nodes[n]["glyph_history"] = []
701+
G.nodes[n]["glyph_history"].append(applied)
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703+
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def enforce_canonical_grammar(
705+
G: "TNFRGraph",
706+
n: "NodeId",
707+
cand: Any,
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ctx: Any = None,
709+
) -> Any:
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"""Enforce canonical grammar constraints before operator application.
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Minimal stub implementation.
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Parameters
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----------
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G : TNFRGraph
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Graph containing node
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n : NodeId
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Node identifier
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cand : Any
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Candidate glyph/operator
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ctx : Any, optional
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Grammar context
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Returns
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-------
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Any
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Validated glyph/operator
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"""
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# Minimal stub - return candidate as-is
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return cand

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