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Rename Operation fields for clarity and grouping

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source_graph/source_canon_id for before state, result_graph/result_coloring/result_canon_id for after state.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
didericis
2026-04-21 21:09:41 -04:00
parent 2cf51ecbb5
commit 6ebafba103
1 changed files with 25 additions and 25 deletions
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colored_pentagon_reduction/example.py
+25 -25
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@@ -23,11 +23,11 @@ class Operation(TypedDict):
"""Information about a change made to a (colored) graph""" """Information about a change made to a (colored) graph"""
name: Any name: Any
meta: Any meta: Any
before: ColoredGraphId source_graph: Graph
after: ColoredGraphId source_canon_id: ColoredGraphId
g: Graph result_graph: Graph
g_prime: Graph result_coloring: VertexColoring
coloring_prime: VertexColoring result_canon_id: ColoredGraphId
class CanonicalColoredGraph(TypedDict): class CanonicalColoredGraph(TypedDict):
"""Canonical representation of a colored graph""" """Canonical representation of a colored graph"""
@@ -39,7 +39,7 @@ def colored_graph_id_to_string(cid: ColoredGraphId) -> str:
return f"{cid['graph_id']} {cid['coloring_id']}" return f"{cid['graph_id']} {cid['coloring_id']}"
def op_to_transform_id(op: Operation) -> str: def op_to_transform_id(op: Operation) -> str:
return f"{colored_graph_id_to_string(op['before'])} -> {colored_graph_id_to_string(op['after'])}" return f"{colored_graph_id_to_string(op['source_canon_id'])} -> {colored_graph_id_to_string(op['result_canon_id'])}"
def operation_sequence_id(ops: list[Operation]) -> str: def operation_sequence_id(ops: list[Operation]) -> str:
joined = "\n".join(op_to_transform_id(op) for op in ops) joined = "\n".join(op_to_transform_id(op) for op in ops)
@@ -152,7 +152,7 @@ ReduceOperation = SquishOperation | PluckOperation
def reduce( def reduce(
g: Graph, g: Graph,
coloring: VertexColoring, coloring: VertexColoring,
before_cid: ColoredGraphId, source_canon_id: ColoredGraphId,
op_sequence: list[ReduceOperation] | None = None, op_sequence: list[ReduceOperation] | None = None,
) -> list[ReduceOperation]: ) -> list[ReduceOperation]:
"""Repeatedly apply pluck/squish reductions until no candidates remain.""" """Repeatedly apply pluck/squish reductions until no candidates remain."""
@@ -166,11 +166,11 @@ def reduce(
for v in g.vertices(): for v in g.vertices():
if g.degree(v) == 3 and _neighbors_form_cycle(g, v): if g.degree(v) == 3 and _neighbors_form_cycle(g, v):
g_prime, coloring_prime = pluck(g, coloring, v) result_graph, result_coloring = pluck(g, coloring, v)
print(f"\nG' (after pluck v0={v}): {g_prime.order()} vertices, {g_prime.size()} edges") print(f"\nG' (after pluck v0={v}): {result_graph.order()} vertices, {result_graph.size()} edges")
_, _, after_cid = save_colored_graph(g_prime, coloring_prime) _, _, result_canon_id = save_colored_graph(result_graph, result_coloring)
op_sequence.append(PluckOperation(name='pluck', meta=PluckMeta(v0=v), g=g, g_prime=g_prime, coloring_prime=coloring_prime, before=before_cid, after=after_cid)) op_sequence.append(PluckOperation(name='pluck', meta=PluckMeta(v0=v), source_graph=g, source_canon_id=source_canon_id, result_graph=result_graph, result_coloring=result_coloring, result_canon_id=result_canon_id))
return reduce(g_prime, coloring_prime, after_cid, op_sequence) return reduce(result_graph, result_coloring, result_canon_id, op_sequence)
if g.degree(v) == 4 and _neighbors_form_cycle(g, v): if g.degree(v) == 4 and _neighbors_form_cycle(g, v):
degree_4_candidates.append(v) degree_4_candidates.append(v)
elif g.degree(v) == 5 and _neighbors_form_cycle(g, v): elif g.degree(v) == 5 and _neighbors_form_cycle(g, v):
@@ -178,21 +178,21 @@ def reduce(
if degree_4_candidates: if degree_4_candidates:
v0 = degree_4_candidates[0] v0 = degree_4_candidates[0]
g_prime, coloring_prime, v1, v2 = squish(g, coloring, v0) result_graph, result_coloring, v1, v2 = squish(g, coloring, v0)
print(f"Shared-color neighbors: v1={v1}, v2={v2} (color {coloring[v1]})") print(f"Shared-color neighbors: v1={v1}, v2={v2} (color {coloring[v1]})")
print(f"\nG' (after squish v0={v0}): {g_prime.order()} vertices, {g_prime.size()} edges") print(f"\nG' (after squish v0={v0}): {result_graph.order()} vertices, {result_graph.size()} edges")
_, _, after_cid = save_colored_graph(g_prime, coloring_prime) _, _, result_canon_id = save_colored_graph(result_graph, result_coloring)
op_sequence.append(SquishOperation(name='squish', meta=SquishMeta(v0=v0, v_merged=[v1, v2]), g=g, g_prime=g_prime, coloring_prime=coloring_prime, before=before_cid, after=after_cid)) op_sequence.append(SquishOperation(name='squish', meta=SquishMeta(v0=v0, v_merged=[v1, v2]), source_graph=g, source_canon_id=source_canon_id, result_graph=result_graph, result_coloring=result_coloring, result_canon_id=result_canon_id))
return reduce(g_prime, coloring_prime, after_cid, op_sequence) return reduce(result_graph, result_coloring, result_canon_id, op_sequence)
if degree_5_candidates: if degree_5_candidates:
v0 = degree_5_candidates[0] v0 = degree_5_candidates[0]
g_prime, coloring_prime, v1, v2 = squish(g, coloring, v0) result_graph, result_coloring, v1, v2 = squish(g, coloring, v0)
print(f"Shared-color neighbors: v1={v1}, v2={v2} (color {coloring[v1]})") print(f"Shared-color neighbors: v1={v1}, v2={v2} (color {coloring[v1]})")
print(f"\nG' (after squish v0={v0}): {g_prime.order()} vertices, {g_prime.size()} edges") print(f"\nG' (after squish v0={v0}): {result_graph.order()} vertices, {result_graph.size()} edges")
_, _, after_cid = save_colored_graph(g_prime, coloring_prime) _, _, result_canon_id = save_colored_graph(result_graph, result_coloring)
op_sequence.append(SquishOperation(name='squish', meta=SquishMeta(v0=v0, v_merged=[v1, v2]), g=g, g_prime=g_prime, coloring_prime=coloring_prime, before=before_cid, after=after_cid)) op_sequence.append(SquishOperation(name='squish', meta=SquishMeta(v0=v0, v_merged=[v1, v2]), source_graph=g, source_canon_id=source_canon_id, result_graph=result_graph, result_coloring=result_coloring, result_canon_id=result_canon_id))
return reduce(g_prime, coloring_prime, after_cid, op_sequence) return reduce(result_graph, result_coloring, result_canon_id, op_sequence)
print("DONE") print("DONE")
return op_sequence return op_sequence
@@ -203,7 +203,7 @@ print(f"G: {G.order()} vertices, {G.size()} edges")
print(f"Degree sequence: {sorted(G.degree_sequence(), reverse=True)}") print(f"Degree sequence: {sorted(G.degree_sequence(), reverse=True)}")
starting_coloring_classes = G.coloring() starting_coloring_classes = G.coloring()
starting_coloring = {v: i for i, cls in enumerate(starting_coloring_classes) for v in cls} starting_coloring = {v: i for i, cls in enumerate(starting_coloring_classes) for v in cls}
_, _, initial_cid = save_colored_graph(G, starting_coloring) _, _, initial_canon_id = save_colored_graph(G, starting_coloring)
G.is_planar(set_embedding=True, set_pos=True) G.is_planar(set_embedding=True, set_pos=True)
def strip_graphs(obj: Any) -> Any: def strip_graphs(obj: Any) -> Any:
@@ -235,11 +235,11 @@ def save_operation_sequence(op_sequence: list[ReduceOperation], g: Graph, colori
md_lines = [f"## start\n\n![start]({plot_to_data_uri(g, coloring)})"] md_lines = [f"## start\n\n![start]({plot_to_data_uri(g, coloring)})"]
for op in op_sequence: for op in op_sequence:
meta_json = json.dumps(op['meta']) meta_json = json.dumps(op['meta'])
md_lines.append(f"## {op['name']} {meta_json}\n\n![b]({plot_to_data_uri(op['g_prime'], op['coloring_prime'])})") md_lines.append(f"## {op['name']} {meta_json}\n\n![b]({plot_to_data_uri(op['result_graph'], op['result_coloring'])})")
(op_dir / "colored_pentagon_contractions.md").write_text("\n".join(md_lines) + "\n") (op_dir / "colored_pentagon_contractions.md").write_text("\n".join(md_lines) + "\n")
return op_seq_id return op_seq_id
op_sequence = reduce(G, starting_coloring, initial_cid) op_sequence = reduce(G, starting_coloring, initial_canon_id)
print("\nOp sequence:") print("\nOp sequence:")
print(json.dumps(strip_graphs(op_sequence), indent=2)) print(json.dumps(strip_graphs(op_sequence), indent=2))
save_operation_sequence(op_sequence, G, starting_coloring) save_operation_sequence(op_sequence, G, starting_coloring)