#BSD 3-Clause License # #Copyright (c) 2022, FourCastNet authors #All rights reserved. # #Redistribution and use in source and binary forms, with or without #modification, are permitted provided that the following conditions are met: # #1. Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # #2. Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # #3. Neither the name of the copyright holder nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # #THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" #AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE #IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE #DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE #FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL #DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR #SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER #CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, #OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE #OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # #The code was authored by the following people: # #Jaideep Pathak - NVIDIA Corporation #Shashank Subramanian - NERSC, Lawrence Berkeley National Laboratory #Peter Harrington - NERSC, Lawrence Berkeley National Laboratory #Sanjeev Raja - NERSC, Lawrence Berkeley National Laboratory #Ashesh Chattopadhyay - Rice University #Morteza Mardani - NVIDIA Corporation #Thorsten Kurth - NVIDIA Corporation #David Hall - NVIDIA Corporation #Zongyi Li - California Institute of Technology, NVIDIA Corporation #Kamyar Azizzadenesheli - Purdue University #Pedram Hassanzadeh - Rice University #Karthik Kashinath - NVIDIA Corporation #Animashree Anandkumar - California Institute of Technology, NVIDIA Corporation import numpy as np from datetime import datetime #day_of_year = datetime.now().timetuple().tm_yday # returns 1 for January 1st #time_tuple = datetime.now().timetuple() date_strings = ["2016-01-01 00:00:00", "2016-09-13 00:00:00", "2016-09-17 00:00:00", "2016-09-21 00:00:00", "2016-09-25 00:00:00", "2016-09-29 00:00:00", "2016-10-03 00:00:00", "2016-10-07 00:00:00"] ics = [] for date_ in date_strings: date_obj = datetime.strptime(date_, '%Y-%m-%d %H:%M:%S') #datetime.fromisoformat(date_) print(date_obj.timetuple()) day_of_year = date_obj.timetuple().tm_yday - 1 hour_of_day = date_obj.timetuple().tm_hour hours_since_jan_01_epoch = 24*day_of_year + hour_of_day ics.append(int(hours_since_jan_01_epoch/6)) print(day_of_year, hour_of_day) print("hours = ", hours_since_jan_01_epoch ) print("steps = ", hours_since_jan_01_epoch/6) print(ics) ics = [] for date_ in date_strings: date_obj = datetime.fromisoformat(date_) #datetime.strptime(date_, '%Y-%m-%d %H:%M:%S') #datetime.fromisoformat(date_) print(date_obj.timetuple()) day_of_year = date_obj.timetuple().tm_yday - 1 hour_of_day = date_obj.timetuple().tm_hour hours_since_jan_01_epoch = 24*day_of_year + hour_of_day ics.append(int(hours_since_jan_01_epoch/6)) print(day_of_year, hour_of_day) print("hours = ", hours_since_jan_01_epoch ) print("steps = ", hours_since_jan_01_epoch/6) print(ics)