code: def data(self, daily_univariate_ts):
      df = daily_univariate_ts.copy()
      df["cap"] = 200.0
      df["binary_feature"] = [0] * 255 + [1] * 255
      return df
  
imports: import datetime
  import itertools
  import numpy
  import pandas
  import pytest
  from prophet import Prophet, diagnostics
label_desc: Use image node_id 1 for calling the TestProphetCopy obj's underlying member method code with example usage: obj.data(daily_univariate_ts) and returns: df