feat: expose CypherEngine in Python for multi-query execution

[ChunxuTang]

Currently, every call of query.execute() needs to build the catalog, which is an expensive operation. This PR exposes a CypherEngine API in Python for multi-query execution, with a reusable catalog.

An example usage (also included in the README.md):

import pyarrow as pa
from lance_graph import CypherEngine, GraphConfig

cfg = (
    GraphConfig.builder()
    .with_node_label("Person", "id")
    .with_node_label("City", "id")
    .with_relationship("lives_in", "src", "dst")
    .build()
)

datasets = {
    "Person": pa.table({"id": [1, 2], "name": ["Alice", "Bob"], "age": [30, 25]}),
    "City": pa.table({"id": [10, 20], "name": ["London", "Sydney"]}),
    "lives_in": pa.table({"src": [1, 2], "dst": [10, 20]}),
}

# Create engine once - builds catalog
engine = CypherEngine(cfg, datasets)

# Execute multiple queries efficiently - catalog is reused
result1 = engine.execute("MATCH (p:Person) WHERE p.age > 25 RETURN p.name")
result2 = engine.execute("MATCH (p:Person)-[:lives_in]->(c:City) RETURN p.name, c.name")
result3 = engine.execute("MATCH (p:Person) RETURN count(*) as total")

print(result1.to_pylist())
# [{'p.name': 'Alice'}]