# Example usage

With careful planning and optimization, you can process 300 documents in 3 days. Focus on streamlining your process, working efficiently, and maintaining quality. If you encounter any issues, be prepared to adjust your plan accordingly. [T…

# Calculate costs for a given scenario costs = 0 # Example: Add costs based on scenario parameters costs += scenario['parameters']['param1'] * 100 costs += scenario['parameters']['param2'] * 50 return costs def prio…

# Indexing code pass except Exception as e: logging.error(f"Error indexing document: {e}", exc_info=True) # Example usage documents = ["doc1", "doc2", "doc3"] catch_bm25_indexing_failures(documents) ``` …

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1) # Train the model model = RandomForestClassifier(n_estimators=100, random_state=1) model.fit(X_train, y_train) ``` #### Step 2: Pre-Fetching Logic I…

Here's the full example code with detailed logging and stress testing: ```python import logging from concurrent.futures import ThreadPoolExecutor from typing import List import random import string # Set up logging logging.basicConfig(fil…

Here's how you can update your existing codebase to include specific exception handlers: ```python import logging import traceback # Configure logging logging.basicConfig(level=logging.ERROR, format='%(asctime)s - %(levelname)s - %(messag…

- **Optimization**: Use the timing information to identify bottlenecks and optimize the query rewriting logic. ### Example with Profiling You can use `cProfile` to profile the entire process: ```python import cProfile import pstats def …

from concurrent.futures import ThreadPoolExecutor, as_completed from functools import lru_cache # Initialize the database engine engine = create_engine('postgresql://user:password@host:port/dbname') # Use LRU cache to store frequently acc…

def expand_query(self, query): for pattern, replacement in self.rules: query = re.sub(pattern, replacement, query) return query # Example usage: rewriter = QueryRewriter() query = "SELECT * FROM table WHERE …

def __init__(self): self.model = ReformulationModel() def process_queries(self, queries, batch_size=100, max_workers=10): with ThreadPoolExecutor(max_workers=max_workers) as executor: futures = [executor…

from elasticsearch import Elasticsearch # Initialize Elasticsearch client es = Elasticsearch([{'host': 'localhost', 'port': 9200}]) def index_reformulated_query(query, reformulated_query): # Index the reformulated query es.index(i…