def is_nat(value): """ Checks if the given value is NaT. """ if EnvironmentHelper.is_tslib_available(): return value is NaT else: return False
def serialize(object_value): if EnvironmentHelper.is_tslib_available( ) and type(object_value) is EnvironmentHelper.Timestamp: object_value = object_value.to_pydatetime() # format: yyyy-mm-dd HH:MM:SS (+microseconds and offset to UTC if available) datestr = object_value.isoformat(' ') # Add timezone name (offset already included in isoformat) if object_value.tzname(): datestr += '[' + object_value.tzname() + ']' # Find +/- sign of timezone offset tzidx = max(datestr.find('+'), datestr.find('-', 10)) if tzidx < 0: tzidx = len(datestr) # If microseconds available cut down to millis otherwise add millis if object_value.microsecond > 0: datestr = datestr[:tzidx - 3] + datestr[tzidx:] else: datestr = datestr[:tzidx] + '.000' + datestr[tzidx:] return datestr.encode('utf-8')
""" @author Clemens von Schwerin, KNIME GmbH, Konstanz, Germany @author Patrick Winter, KNIME GmbH, Konstanz, Germany @author Marcel Wiedenmann, KNIME GmbH, Konstanz, Germany @author Christian Dietz, KNIME GmbH, Konstanz, Germany """ # This should be the first statement in each module that makes specific demands on the Python environment. import EnvironmentHelper if EnvironmentHelper.is_python3(): import importlib else: import imp if EnvironmentHelper.is_tslib_available(): from EnvironmentHelper import Timestamp from EnvironmentHelper import NaT else: Timestamp = None NaT = None import base64 import inspect import math import numpy import os from datetime import datetime # list of equivalent types