def silent_reduce(ds, map = None):
location = ds.location
id = ds.id
title = ds.title
ds = ds.get_reduced(1)
if not map is None:
ds = lib.eff_corr(ds, map)
rds = lib.geo_corr(ds, geo_corr_enabled.value)
# ds.close()
rds.id = id
return rds
def silent_reduce(ds, map=None):
location = ds.location
id = ds.id
title = ds.title
ds = ds.get_reduced(1)
if not map is None:
ds = lib.eff_corr(ds, map)
rds = lib.geo_corr(ds, geo_corr_enabled.value)
ds.close()
rds.id = id
return rds
def reduce():
global DS
global VI
global IR
old_id = -1
if not DS is None:
old_id = DS.id
li = __get_selected_files__()
if len(li) == 0:
open_error('Please select a file from the file source view.')
return
if Plot1.ndim is 0:
Plot1.set_dataset(instance([2,2]))
prog_bar.max = 5
prog_bar.selection = 1
df.datasets.clear()
DS = df[str(li[0])]
curr_idx = -1
if old_id == DS.id:
curr_idx = ind_jump.value
location = DS.location
id = DS.id
title = DS.title
DS = DS.get_reduced(1)
prog_bar.selection = 2
if eff_corr_enabled.value and eff_map.value != None \
and len(eff_map.value.strip()) > 0:
log('running efficiency correction')
map = lib.make_eff_map(df, get_calibration_path() + '/' + str(eff_map.value))
DS = lib.eff_corr(DS, map)
prog_bar.selection = 3
if geo_corr_enabled.value :
log('running geometry correction')
DS = lib.geo_corr(DS, geo_corr_enabled.value)
DS.location = location
DS.id = id
DS.title = title
# Plot1.set_dataset(DS[0])
# Plot1.title = str(DS.id) + '_0'
# Plot1.set_mask_listener(regionListener)
masks = []
if reg_enabled.value :
if len(Plot1.get_masks()) > 0:
masks = Plot1.get_masks()
else :
# if reg_list.value != None and reg_list.value.strip() != '':
# if reg_minX.value != None and reg_minX.value.strip() != '' and reg_maxX.value != None and reg_maxX.value.strip() != '' \
# reg_minY.value != None and reg_minY.value.strip() != '' reg_maxY.value != None and reg_maxY.value.strip() != ''
# mask_str = 'I-1[' + reg_minX.value + ',' + reg_maxX.value + ',' + reg_minY.value + ',' + reg_maxY.value + ']'
mask_str = get_mask_str()
masks = str2maskstr(mask_str)
for mask in masks:
Plot1.add_mask_2d(float(mask[0]), float(mask[1]), \
float(mask[2]), float(mask[3]), mask[4])
masks = Plot1.get_masks()
prog_bar.selection = 4
log('running vertical integration')
VI = lib.v_intg(DS, masks)
# Plot2.set_dataset(VI[0])
# Plot2.title = str(DS.id) + "_integration_0"
ind_jump.options = range(DS.shape[0])
var_jump.options = DS.axes[0].tolist()
if curr_idx == -1:
ind_jump.value = 0
else:
ind_jump.value = curr_idx
update_plots(curr_idx)
prog_bar.selection = 5
log('running intensity integration')
IR = lib.i_intg(VI)
prog_bar.selection = 5
Plot3.set_dataset(IR)
Plot3.title = str(DS.id) + "_intensity"
Plot3.set_mouse_listener(NavMouseListener())
Plot1.set_awt_mouse_listener(mouse_press_listener)
Plot1.set_mask_listener(regionListener)
prog_bar.selection = 0
# set_pref_value(SAVED_MASK_PRFN , str(reg_list.value))
set_pref_value(SAVED_MASK_PRFN , str(get_mask_str()))
set_pref_value(SAVED_EFFICIENCY_FILENAME_PRFN, str(eff_map.value))
save_pref()
def export_images():
path = selectSaveFolder()
if path == None:
return
dss = __DATASOURCE__.getSelectedDatasets()
if len(dss) == 0:
print 'Error: please select at least one data file.'
fi = File(path)
if not fi.exists():
if not fi.mkdir():
print 'Error: failed to make directory: ' + path
return
dss_idx = 0
prog_bar.max = len(dss) + 1
try:
for dinfo in dss:
dss_idx += 1
prog_bar.selection = dss_idx
ds = df[str(dinfo.location)]
if ds.ndim < 3:
log('dimension of ' + str(ds.id) + ' is not supported')
dname = ds.name
if ds.ndim == 4:
ds = ds.get_reduced(1)
if par_eff.value and eff_map.value != None \
and len(eff_map.value.strip()) > 0:
log('running efficiency correction')
map = lib.make_eff_map(df, str(eff_map.value))
ds = lib.eff_corr(ds, map)
if par_geo.value :
log('running geometry correction')
ds = lib.geo_corr(ds, par_geo.value)
log('process ' + dname)
idx = dname.find('.')
if idx > 0:
fn = dname[0:idx]
fn = path + '/' + fn
wt = int(math.log10(len(ds))) + 1
for i in xrange(len(ds)):
log('\t frame ' + str(i))
if ds.ndim == 4:
sl = ds[i, 0]
elif ds.ndim == 3:
sl = ds[i]
elif ds.ndim == 2:
sl = ds
else:
log('dimensions are not allowed for ' + dname)
break
if str(par_type.value) == 'ASCII' :
ext = ('%0' + str(wt) + 'd.xyz') % i
f = open(fn + '_' + ext, 'w')
try:
header = '#'
header += get_line(sl.axes[1], 3)
f.write(header)
for line in sl:
f.write(get_line(line, 3))
finally:
f.close()
else:
pds = NXFactory.createHist2DDataset(sl.__iNXDataset__)
HPLOT.setDataset(pds)
HPLOT.getChart().setTitle(str(dname) + '_' + str(i))
ext = (('%0' + str(wt) + 'd.' + str(par_type.value)) % i)
try:
HPLOT.getXYPlot().getRenderer().getPaintScale().setColorScale(color_scale.Rainbow)
except:
pass
HPLOT.saveImage(fn + '_' + ext, str(par_type.value))
finally:
prog_bar.selection = 0
prog_bar.max = 0
log('Done')
def reduce():
global DS
global VI
global IR
old_id = -1
if not DS is None:
old_id = DS.id
li = __get_selected_files__()
if len(li) == 0:
open_error('Please select a file from the file source view.')
return
if Plot1.ndim is 0:
Plot1.set_dataset(instance([2, 2]))
prog_bar.max = 5
prog_bar.selection = 1
df.datasets.clear()
DS = df[str(li[0])]
curr_idx = -1
if old_id == DS.id:
curr_idx = ind_jump.value
location = DS.location
id = DS.id
title = DS.title
DS = DS.get_reduced(1)
prog_bar.selection = 2
if eff_corr_enabled.value and eff_map.value != None \
and len(eff_map.value.strip()) > 0:
log('running efficiency correction')
map = lib.make_eff_map(
df,
get_calibration_path() + '/' + str(eff_map.value))
DS = lib.eff_corr(DS, map)
prog_bar.selection = 3
if geo_corr_enabled.value:
log('running geometry correction')
DS = lib.geo_corr(DS, geo_corr_enabled.value)
DS.location = location
DS.id = id
DS.title = title
# Plot1.set_dataset(DS[0])
# Plot1.title = str(DS.id) + '_0'
# Plot1.set_mask_listener(regionListener)
masks = []
if reg_enabled.value:
if len(Plot1.get_masks()) > 0:
masks = Plot1.get_masks()
else:
# if reg_list.value != None and reg_list.value.strip() != '':
# if reg_minX.value != None and reg_minX.value.strip() != '' and reg_maxX.value != None and reg_maxX.value.strip() != '' \
# reg_minY.value != None and reg_minY.value.strip() != '' reg_maxY.value != None and reg_maxY.value.strip() != ''
# mask_str = 'I-1[' + reg_minX.value + ',' + reg_maxX.value + ',' + reg_minY.value + ',' + reg_maxY.value + ']'
mask_str = get_mask_str()
masks = str2maskstr(mask_str)
for mask in masks:
Plot1.add_mask_2d(float(mask[0]), float(mask[1]), \
float(mask[2]), float(mask[3]), mask[4])
masks = Plot1.get_masks()
prog_bar.selection = 4
log('running vertical integration')
VI = lib.v_intg(DS, masks)
# Plot2.set_dataset(VI[0])
# Plot2.title = str(DS.id) + "_integration_0"
ind_jump.options = range(DS.shape[0])
var_jump.options = DS.axes[0].tolist()
if curr_idx == -1:
ind_jump.value = 0
else:
ind_jump.value = curr_idx
update_plots(curr_idx)
prog_bar.selection = 5
log('running intensity integration')
IR = lib.i_intg(VI)
prog_bar.selection = 5
Plot3.set_dataset(IR)
Plot3.title = str(DS.id) + "_intensity"
Plot3.set_mouse_listener(NavMouseListener())
Plot1.set_awt_mouse_listener(mouse_press_listener)
Plot1.set_mask_listener(regionListener)
prog_bar.selection = 0
# set_pref_value(SAVED_MASK_PRFN , str(reg_list.value))
set_pref_value(SAVED_MASK_PRFN, str(get_mask_str()))
set_pref_value(SAVED_EFFICIENCY_FILENAME_PRFN, str(eff_map.value))
save_pref()