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