code: def make_events_for_sid(sid, event_dates, event_timestamps):
      num_events = len(event_dates)
      return pd.DataFrame(
          {
              "sid": np.full(num_events, sid, dtype=np.int64),
              "timestamp": event_timestamps,
              "event_date": event_dates,
              "float": np.arange(num_events, dtype=np.float64) + sid,
              "int": np.arange(num_events) + sid,
              "datetime": pd.date_range(
                  "1990-01-01", periods=num_events
              ).shift(sid),
              "string": [
                  "-".join([str(sid), str(i)])
                  for i in range(num_events)
              ],
          }
      )
  
imports: from datetime import time
  from itertools import product
  from unittest import skipIf
  import blaze
  import numpy
  import pandas
  import pytz
  from zipline.pipeline import Pipeline, SimplePipelineEngine
  from zipline.pipeline.common import EVENT_DATE_FIELD_NAME, TS_FIELD_NAME, SID_FIELD_NAME
  from zipline.pipeline.data import DataSet, Column
  from zipline.pipeline.domain import US_EQUITIES, EquitySessionDomain
  from zipline.pipeline.loaders.events import EventsLoader
  from zipline.pipeline.loaders.blaze.events import BlazeEventsLoader
  from zipline.pipeline.loaders.utils import next_event_indexer, previous_event_indexer
  from zipline.testing import ZiplineTestCase
  from zipline.testing.fixtures import WithAssetFinder, WithTradingSessions
  from zipline.testing.predicates import assert_equal
  from zipline.utils.numpy_utils import categorical_dtype, datetime64ns_dtype, float64_dtype, int64_dtype
  from zipline.utils.pandas_utils import new_pandas, skip_pipeline_new_pandas
label_desc: Use image node_id 1 for calling a global function with example usage: make_events_for_sid(sid, event_dates, event_timestamps) and returns: pd