docstr: Encodes a list of unix_timestamps, or a list of tensors with unix_timestamps
  :param data: list of unix_timestamps (unix_timestamp resolution is seconds)
  :return: a list of vectors
docstr_tok: ["Encodes","a","list","of","unix_timestamps",",","or","a","list","of","tensors","with","unix_timestamps",":","param","data",":","list","of","unix_timestamps","(","unix_timestamp","resolution","is","seconds",")",":","return",":","a","list","of","vectors"]
code: def encode_one(self, data):
      """
      Encodes a list of unix_timestamps, or a list of tensors with unix_timestamps
      :param data: list of unix_timestamps (unix_timestamp resolution is seconds)
      :return: a list of vectors
      """
      ret = []
      for unix_timestamp in data:
          if is_none(unix_timestamp):
              if self.sinusoidal:
                  vector = [0, 1] * len(self.fields)
              else:
                  vector = [0] * len(self.fields)
          else:
              c = self.constants
              if isinstance(unix_timestamp, torch.Tensor):
                  unix_timestamp = unix_timestamp.item()
              date = datetime.datetime.fromtimestamp(unix_timestamp)
              day_constant = calendar.monthrange(date.year, date.month)[
                  1
              ]
              vector = [
                  date.year / c["year"],
                  date.month / c["month"],
                  date.day / day_constant,
                  date.weekday() / c["weekday"],
                  date.hour / c["hour"],
                  date.minute / c["minute"],
                  date.second / c["second"],
              ]
              if self.sinusoidal:
                  vector = np.array(
                      [(np.sin(n), np.cos(n)) for n in vector]
                  ).flatten()
  
          ret.append(vector)
  
      return ret
  
file_path: lightwood/lightwood/encoder/datetime/datetime_sin_normalizer.py
imports: import datetime
  import calendar
  import numpy
  import pandas
  import torch
  from lightwood.encoder.base import BaseEncoder
  from collections.abc import Iterable
  from lightwood.helpers.general import is_none
label_desc: Use image node_id 4 for calling the DatetimeNormalizerEncoder obj's underlying member method code with example usage: obj.encode_one(data) and returns: ret