code: def stats_to_s3(
      uri,
      stats,
      algo_namespace,
      recorded_cols=None,
      folder="catalyst/stats",
      bytes_to_write=None,
  ):
      """
      Uploads the performance stats to a S3 bucket.
  
      Parameters
      ----------
      uri: str
      stats: list[Object]
      algo_namespace: str
      recorded_cols: list[str]
      folder: str
      bytes_to_write: str
          Option to reuse bytes instead of re-computing the csv
  
      Returns
      -------
  
      """
      if not s3_conn:
          import boto3
  
          s3_conn.append(boto3.resource("s3"))
  
      s3 = s3_conn[0]
  
      if bytes_to_write is None:
          bytes_to_write = get_csv_stats(
              stats, recorded_cols=recorded_cols
          )
  
      now = pd.Timestamp.utcnow()
      timestr = now.strftime("%Y%m%d")
      pid = os.getpid()
  
      parts = uri.split("//")
      path = "{folder}/{algo}/{time}-{algo}-{pid}.csv".format(
          folder=folder,
          algo=algo_namespace,
          time=timestr,
          pid=pid,
      )
      obj = s3.Object(parts[1], path)
      obj.put(Body=bytes_to_write)
  
imports: import copy
  import csv
  import json
  import numbers
  import os
  import time
  import numpy
  import pandas
  from catalyst.assets._assets import TradingPair
  from catalyst.exchange.utils.exchange_utils import get_algo_folder
  from catalyst.utils.paths import data_root, ensure_directory
  from operator import itemgetter
label_desc: Use image node_id 10 for calling a global function with example usage: stats_to_s3(uri, stats, algo_namespace, recorded_cols, folder, bytes_to_write) without return types