def __init__(self, value=0):
self.val = RawValue('i', value)
self.lock = threading.Lock()
print('finished!')
def modifyUnit(argv):
dataset = nc.Dataset(argv['distPath'], 'r+', format='NETCDF4')
timeVariable = dataset.variables['time']
for var in dataset.variables:
# 32年平均：1个时间切片；年平均：32个时间切片；32年的月平均：12个时间切片
if var.units == 'gC m-2 d-1' and \
timeVariable.shape[0] <= 32 and \
timeVariable.shape[0] != 12:
var.units = 'kgC m-2 y-1'
var[:] = var[:]*.365
dataset.close()
print('finished!')
counter = RawValue('i')
counter.value = 0
average = False
multiprocessing = True
options, args = getopt.getopt(sys.argv[1:], '', ['model=', 'var=', 'step=', 'average=', 'multiprocessing='])
for opt in options:
if(opt[0] == '--model'):
model = opt[1]
elif(opt[0] == '--var'):
var = opt[1]
elif(opt[0] == '--step'):
step = int(opt[1])
elif(opt[0] == '--average'):
# average = opt[1] in ['true', 'True', '1', 't', 'y']
average = True
elif(opt[0] == '--multiprocessing'):
def __init__(self, value=0):
self.val = RawValue('i', value)
self.lock = Lock()
def __init__(self, initval=0):
self.val = RawValue('i', initval)
self.lock = Lock()
def __init__(self, initval=0):
self.val = RawValue('i', initval)
self.last_step_update_target = RawValue('i', initval)
self.lock = Lock()
def __init__(self):
# RawValue because we don't need it to create a Lock:
self.val = RawValue('d', 0)
self.num = RawValue('i', 0)
self.lock = Lock()
import numpy as np
import csv
import pandas as pd
import re
import linecache
import time
import matplotlib.pyplot as plt
import matplotlib
from multiprocessing import Pool, sharedctypes, RawArray, RawValue
from MS.IBIS import *
from MS.LPJ import *
from MS.Biome_BGC import *
from CMIP import *
plt.switch_backend('tkagg')
counter = RawValue('i')
counter.value = 0
failed_counter = RawValue('i')
failed_counter.value = 0
test = False
options, args = getopt.getopt(sys.argv[1:], '', ['model=', 'test='])
for opt in options:
if (opt[0] == '--model'):
if opt[1] == 'IBIS':
ms_daily = IBIS('daily')
ms_month = IBIS('month')
elif opt[1] == 'Biome-BGC':
ms_daily = Biome_BGC('daily')
ms_month = Biome_BGC('month')
elif opt[1] == 'LPJ':
ms_daily = LPJ('daily')
def __init__(self):
print("SimulationCommunicator object created")
#wartosci-rezultaty dzialania symulacji
self.ball_x = RawValue('f', 0.0)
self.ball_y = RawValue('f', 0.0)
self.servo_x = RawValue('i', 0)
self.servo_y = RawValue('i', 0)
self.corner_tl_x = RawValue('f', 0.0)
self.corner_tl_y = RawValue('f', 0.0)
self.corner_tr_x = RawValue('f', 0.0)
self.corner_tr_y = RawValue('f', 0.0)
self.corner_br_x = RawValue('f', 0.0)
self.corner_br_y = RawValue('f', 0.0)
self.corner_bl_x = RawValue('f', 0.0)
self.corner_bl_y = RawValue('f', 0.0)
self.cameraFrame = RawArray('i', 3 * 256**2)
#zmienne wartosci
self.servo_actual_pos = [0, 0] #aktualna pozycja serwa
self.servo_target_pos = [0, 0] #docelowa pozycja serwa
self.refreshDeltaTime = 1 / 60
self.frameReadTargetDelta = 1 / 40
self.frameReadLastTime = 0.0
self.capturedFrame = np.zeros((256, 256, 3))
