import select_run as sr
timestamp, basename = sr.run(options.investigate, options.case, options.latest)
options.timestamps=[timestamp]
else:
import gi_base as gb
basepath = gb.get_basepath()
basename = os.path.abspath(basepath+'DT'+options.investigate+'/'+str(options.case))+'/'
# use last timestamp for sample gp
import import_path as ip
tt = options.timestamps[-1]
ip.insert_sys_path(basename+tt+'/programs/')
ip.insert_sys_path(basename+tt+'/programs/sphere')
import gi_params as gip
gp = gip.Params(tt)
gp.pops = sr.get_pops(basename+tt+'/')
# find minimum number of iterations for all runs
minlinelen = 1e99
#import gi_collection as gc
for tt in options.timestamps:
linelen = 0
with open(basename+tt+'/pc2.save', 'rb') as fi:
dum = pickle.load(fi) # dummy variable
try:
while True:
linelen += 1
MODEL = pickle.load(fi)
except EOFError:
pass
print('linelen = ',linelen)
## \fn pcload_single_entries(bn, gp)
# load all data into [chi^2, profiles] pairs, and add to a profile collection
# @param bn string
# @param gp global parameters
import import_path as ip
ip.insert_sys_path(basedir + 'programs/')
ip.insert_sys_path(basedir + 'programs/sphere')
import gi_params as ngip
ngp = ngip.Params(tt)
print(ngp)
print('ngp.rinfty = ', ngp.rinfty)
import select_run as sr
ngp.pops = sr.get_pops(basedir)
print('working with ', ngp.pops, ' populations')
prepare_output_folder(basedir)
# check whether we need to read in ngp.dat, or whether we are plotting from inside gravimage main program
if len(ngp.dat.Sig) == 0:
import gi_file as glf
ngp.dat = glf.get_binned_data(ngp)
read_scale(ngp) # store half-light radii in gp.Xscale
import gi_helper as gh
Radii, Binmin, Binmax, Sigdat1, Sigerr1 = gh.readcol5(ngp.files.Sigfiles[0])
# [Xscale0], [Munit/Xscale0^2]
# verified that indeed the stored files in the run directory are used
ngp.xipol = Radii * ngp.Xscale[0] # [pc]
maxR = max(Radii) # [pc]
minR = min(Radii) # [pc]
print("")
return pc
## \fn pcload_single_entries(bn, gp)
# load all data into [chi^2, profiles] pairs, and add to a profile collection
# @param bn string
# @param gp global parameters
import import_path as ip
ip.insert_sys_path(basedir+'programs/')
ip.insert_sys_path(basedir+'programs/sphere')
import gi_params as ngip
ngp = ngip.Params(tt)
print(ngp)
print('ngp.rinfty = ',ngp.rinfty)
import select_run as sr
ngp.pops = sr.get_pops(basedir)
print('working with ', ngp.pops, ' populations')
prepare_output_folder(basedir)
# check whether we need to read in ngp.dat, or whether we are plotting from inside gravimage main program
if len(ngp.dat.Sig) == 0:
import gi_file as glf
ngp.dat = glf.get_binned_data(ngp)
read_scale(ngp) # store half-light radii in gp.Xscale
import gi_helper as gh
Radii, Binmin, Binmax, Sigdat1, Sigerr1 = gh.readcol5(ngp.files.Sigfiles[0])
# [Xscale0], [Munit/Xscale0^2]
# verified that indeed the stored files in the run directory are used
ngp.xipol = Radii * ngp.Xscale[0] # [pc]
maxR = max(Radii) # [pc]
minR = min(Radii) # [pc]
