code: def generate_timeseries(
      length,
      bounds=(0, 1852255420),
      _type="timestamp",
      period=24 * 3600,
  ):
      column = []
  
      for n in range(*bounds, period):
          if len(column) >= length:
              break
          column.append(n)
  
      if _type == "timestamp":
          return column
      elif _type == "datetime":
          return list(
              map(str, map(datetime.datetime.fromtimestamp, column))
          )
      elif _type == "date":
          return list(
              map(
                  str,
                  map(
                      lambda x: datetime.datetime.fromtimestamp(
                          x
                      ).date(),
                      column,
                  ),
              )
          )
  
file_path: lightwood/tests/utils/data_generation.py
imports: import random
  import string
  import datetime
  from math import log
label_desc: Use image node_id 1 for calling a global function with example usage: generate_timeseries(length, bounds, _type, period) and returns: column, list, list