Added method SpiderExample.run_query to execute candidate queries

and load the results into a `pandas.DataFrame`.

added arguments to `InferenceSetup` that pass parameters to the guide
and proposal.

added `InferenceSetupVLLM` which mirrors `InferenceSetup`, but targets
the `vllm` backend.

bench/spider/interface.py

@@ -5,6 +5,8 @@
 from bench.spider.evaluator import Evaluator
 
 import genparse
+import sqlite3
+import pandas as pd
 
 
 class SpiderInterface:
@@ -74,6 +76,12 @@ def describe(self):
 Remember, DO NOT provide any commentary or explanation of what the code does, just the SQL statement ending in a semicolon.
 """
 
+    def run_query(self, query):
+        db = self.interface.evaluator.db_path / self.db_name / (self.db_name + '.sqlite')
+        with sqlite3.connect(db) as conn:
+            df = pd.read_sql_query(query, conn)
+        return df
+
 
 def test_interface():
     spider = SpiderInterface()