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Your query is 2dntca_322017040a86573465f4446d50
cd .. ;export PATH=:/py3/bin; echo ; ls -ltr
Execution log:
>test
/home/ubuntu/djangoEnv/bin/ipython
03/19/2019 10:43:03 AM INFO: Reading notebook bin/calc_temp.ipynb
/home/ubuntu/djangoEnv/local/lib/python2.7/site-packages/IPython/paths.py:62: UserWarning: IPython dir '/var/www/.ipython' is not a writable location, using a temp directory.
" using a temp directory.".format(ipdir))
/home/ubuntu/djangoEnv/local/lib/python2.7/site-packages/IPython/paths.py:62: UserWarning: IPython dir '/var/www/.ipython' is not a writable location, using a temp directory.
" using a temp directory.".format(ipdir))
03/19/2019 10:43:04 AM INFO: Running cell:
from astropy.convolution import *
import sys
import os
sys.path.append(os.path.abspath('..'))
%matplotlib notebook
# utils=os.path.abspath('..')
from utils import *
import time
from KBs import *
global log
log = []
03/19/2019 10:43:07 AM INFO: Cell returned
03/19/2019 10:43:07 AM INFO: Running cell:
(HTML(tog))
03/19/2019 10:43:07 AM INFO: Cell returned
03/19/2019 10:43:07 AM INFO: Running cell:
# convolve_int=lambda a,fir,method:np.around(convolve(a,fir,method)).astype(np.int);
def csv2dat(fname):
import csv
import numpy as np
global log
dat=[];
with open(fname, 'r') as csvfile:
spamreader = csv.reader(csvfile, delimiter='\t')
for row in (spamreader):
dat+=[row];
log = log + ['Used \''+fname+'\' as input '];
return (np.array(dat));
# if not 'input_rulestr' in locals():
# input_rulestr='000000000060031c61c67f86a0';
# input_rulestr
# CA_sys
03/19/2019 10:43:07 AM INFO: Cell returned
03/19/2019 10:43:07 AM INFO: Running cell:
def profile(input_list, log = []):
# global log
output_data=[];
repeat=2;
# input_list=[input_rulestr];
ipt_list=input_list*repeat;
# for i in range(5):
l_ipt=len(input_list)
log += ['Log of the process:'];
logs='Starting to profile {:d} rules at {:d} replicates,\n totaling {:d} instances'.format(l_ipt,repeat,l_ipt*repeat);
log += [logs];
# print('Starting to profile {:d} rules at {:d} replicates,\n totaling {:d} instances'.format(l_ipt,repeat,l_ipt*repeat))
for num,rulestr in enumerate(ipt_list):
ca1=CA_sys(familyname,rulestr,[400,100,400]);
ca1.rulestr2alias();
s=measure_temperature(ca1,hdist);
output_data+=[s];
# print('{:d} of {:d}'.format(num,len(ipt_list)))
logs =('{:d} of {:d} '.format(num,len(ipt_list)));
log += [logs];
temp_data=[];
# sample_data=[]
for line in output_data:
temp_data+=[line.rstrip('\n').split('\t')];
sample_data=np.array(temp_data)
# print('data is succesfully generated at {:d} replicates'.format(repeat))
logs=('data is succesfully generated at {:d} replicates'.format(repeat))
log += [logs];
# print('\n Detail of the input:')
logs='\n Detail of the input:';
log+=[logs];
for k,v in ca1.__dict__.items():
if not callable(v):
# print(k+str(v).ljust(-10))
# print("{:5} {:<15} {:<10}".format('',k, str(v)))
logs=("{:5} {:<15} {:<10}".format('',k, str(v)));
log+=[logs];
return( [sample_data,log]);
03/19/2019 10:43:07 AM INFO: Cell returned
03/19/2019 10:43:07 AM INFO: Running cell:
# #test
# ca1=CA_sys('2dntca',input_rulestr,[600,100,400]);
# ca1.rulestr2alias();
# s=measure_temperature(ca1,hdist);
# output_data=[];
from os import environ
# global log
# log=[];
if 'query' not in locals():
query = environ.get('query',None);
# print query
if not query==None:
query = environ['query'];
if query[-4:]=='.csv':
query_type = 'csv';
else:
query_type = 'rulestr';
# familyname, input_rulestr = query.split('_');
else:
# familynam
query='2dntca_000000000060031c61c67f86a0';
query_type = 'rulestr'
# familyname, input_rulestr = query.split('_');
log+=['fail to fetch query, using default rule, B3/S23 \n' +
'example query:'+query];
## Using B3/S23 as example
if query_type == 'csv':
# sample_dat, log =
sample_data=csv2dat('../calc_temp_data/'+query);
print('data loaded')
if query_type == 'rulestr':
familyname, input_rulestr = query.split('_');
sample_data,log = profile([input_rulestr],log)
log+=['data generated for '+query];
03/19/2019 10:43:07 AM INFO: Cell raised uncaught exception:
[0;31m[0m
[0;31mMemoryError[0mTraceback (most recent call last)
[0;32m[0m in [0;36m[0;34m()[0m
[1;32m 33[0m [0;32mif[0m [0mquery_type[0m [0;34m==[0m [0;34m'rulestr'[0m[0;34m:[0m[0;34m[0m[0m
[1;32m 34[0m [0mfamilyname[0m[0;34m,[0m [0minput_rulestr[0m [0;34m=[0m [0mquery[0m[0;34m.[0m[0msplit[0m[0;34m([0m[0;34m'_'[0m[0;34m)[0m[0;34m;[0m[0;34m[0m[0m
[0;32m---> 35[0;31m [0msample_data[0m[0;34m,[0m[0mlog[0m [0;34m=[0m [0mprofile[0m[0;34m([0m[0;34m[[0m[0minput_rulestr[0m[0;34m][0m[0;34m,[0m[0mlog[0m[0;34m)[0m[0;34m[0m[0m
[0m[1;32m 36[0m [0mlog[0m[0;34m+=[0m[0;34m[[0m[0;34m'data generated for '[0m[0;34m+[0m[0mquery[0m[0;34m][0m[0;34m;[0m[0;34m[0m[0m
[0;32m[0m in [0;36mprofile[0;34m(input_list, log)[0m
[1;32m 15[0m [0mca1[0m[0;34m=[0m[0mCA_sys[0m[0;34m([0m[0mfamilyname[0m[0;34m,[0m[0mrulestr[0m[0;34m,[0m[0;34m[[0m[0;36m400[0m[0;34m,[0m[0;36m100[0m[0;34m,[0m[0;36m400[0m[0;34m][0m[0;34m)[0m[0;34m;[0m[0;34m[0m[0m
[1;32m 16[0m [0mca1[0m[0;34m.[0m[0mrulestr2alias[0m[0;34m([0m[0;34m)[0m[0;34m;[0m[0;34m[0m[0m
[0;32m---> 17[0;31m [0ms[0m[0;34m=[0m[0mmeasure_temperature[0m[0;34m([0m[0mca1[0m[0;34m,[0m[0mhdist[0m[0;34m)[0m[0;34m;[0m[0;34m[0m[0m
[0m[1;32m 18[0m [0moutput_data[0m[0;34m+=[0m[0;34m[[0m[0ms[0m[0;34m][0m[0;34m;[0m[0;34m[0m[0m
[1;32m 19[0m [0;31m# print('{:d} of {:d}'.format(num,len(ipt_list)))[0m[0;34m[0m[0;34m[0m[0m
[0;32m/var/www/newflaw.com/calc_temp/bin/KBs.pyc[0m in [0;36mmeasure_temperature[0;34m(sys0, hdist, *args, **kwargs)[0m
[1;32m 205[0m [0msiz[0m[0;34m=[0m[0mavi[0m[0;34m.[0m[0mshape[0m[0;34m[0m[0m
[1;32m 206[0m [0msiz[0m[0;34m=[0m[0;34m([0m[0msysX[0m[0;34m.[0m[0mhmax[0m[0;34m,[0m[0;34m)[0m[0;34m+[0m[0msiz[0m[0;34m;[0m[0;34m[0m[0m
[0;32m--> 207[0;31m [0mtmp[0m[0;34m=[0m[0mnp[0m[0;34m.[0m[0mzeros[0m[0;34m([0m[0msiz[0m[0;34m)[0m[0;34m[0m[0m
[0m[1;32m 208[0m [0msmtmp[0m[0;34m=[0m[0mnp[0m[0;34m.[0m[0mzeros[0m[0;34m([0m[0msiz[0m[0;34m)[0m[0;34m[0m[0m
[1;32m 209[0m [0;34m[0m[0m
[0;31mMemoryError[0m:
03/19/2019 10:43:07 AM INFO: Saving to temp_2dntca_322017040a86573465f4446d50.ipynb
03/19/2019 10:43:07 AM INFO: Shutdown kernel
03/19/2019 10:43:08 AM WARNING: Exiting with nonzero exit status
[NbConvertApp] Converting notebook temp_2dntca_322017040a86573465f4446d50.ipynb to html
[NbConvertApp] Writing 517337 bytes to temp_2dntca_322017040a86573465f4446d50.html
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