def draw2DArray(self, arr=None):
if arr == None : arr = imp.impars.arr
gm.openFigure(1,12,12,'CSpad standalone')
print 'dimX, dimY =', arr.shape
gm.drawImage(arr, 'CSpad image')
plt.draw()
self.showPlot ( mode=1 )
def _setQuadNumsInEvent( self, h5file, dsname, event=0 ):
"""Sets the self.quadNumsInEvent from h5file using dsname and optional event number."""
el_dsname = gm.get_item_path_to_last_name(dsname) + '/element'
#self.ds_element = h5file.get_dataset_from_hdf5_file(el_dsname)[:]['quad']
self.ds_element = h5file.get_dataset_from_hdf5_file(el_dsname)
#print 'self.ds_element = ', self.ds_element
self.quadNumsInEvent = self.getQuadNumsInEvent( event )
def get_cspad_calib_dir( path, cspad_name='CxiDs1.0:Cspad.0' ) :
"""Constructs the calibration directory name from the path to *.h5 file and the detector name.
The lates version of calibration is picked up automatically.
"""
root_calib_dir = get_root_calib_dir_from_hdf5_path( path )
dirList=gm.getListOfFilesInDir(root_calib_dir)
calib_version = ''
for name in dirList: # loop
if name[0:5] == 'CsPad' :
calib_version = name # something like CsPad::CalibV1
return root_calib_dir + calib_version + '/' + cspad_name
def solve(self):
#gets the proper function for given cooling schedule(geometric,linear,logaritmic)
cf = getattr(self, "_SMA__"+self.clng)
#random solution
self.route= random.sample(range(self.dimension),self.dimension)
#calculates objective function value of random solution
self.obj = GlobalMethods.iterativeobj(self.distances,self.route)
#temperature value on the i.th iterate
currenttemp = self.it
count = 0
while currenttemp > self.ft:
for i in range(self.iterlim):
rnds = np.random.choice(range(self.dimension), 2, replace=False)
np.sort(rnds)
s = GlobalMethods.swap(self.route,rnds[0],rnds[1])
tempobj = GlobalMethods.iterativeobj(self.distances,s)
delta = tempobj - self.obj
r = random.uniform(0 ,1)
g.append(r)
if delta <= 0:
self.bestobj = tempobj
self.obj= tempobj
self.route= s
self.bestroute = self.route
elif self.__prob(delta,currenttemp) > r:
self.obj = tempobj
self.route =s
count += 1
currenttemp = cf(count,currenttemp)
return self.bestroute,self.bestobj
def get_cspad_name_and_data_type_from_dataset_name( dsname ) :
"""Returns the detector name and data type as a parts of the dataset name
"""
cspad_name = ''
cspad_data_type = ''
if gm.CSpadIsInTheName(dsname) :
name1, name2, name3 = gm.get_item_last_three_names(dsname)
cspad_name = name2 # something like CxiDs1.0:Cspad.0
cspad_data_type = name3 # something like CsPad::ElementV2
#print 'CSPad is found in dataset', dsname
#print 'CSPad name and data type =', cs.confcspad.cspad_name, cs.confcspad.cspad_data_type
#return name2
else :
print 'ERROR in get_cspad_name_and_data_type_from_dataset_name( dsname ) for\ndsname =', dsname,\
'\nReturn empty the CSPad name and data_type !!!'
return cspad_name, cspad_data_type
def get_cspad_config_dsname( self, data_dsname ) :
"""Find the CSPAD configuration dataset name in hdf5 file."""
grpname = '/Configure:0000'
pattern = 'CsPad::ConfigV'
suffix = gm.get_item_second_to_last_name(data_dsname) + '/config'
#print 'get_cspad_config_dsname(): loop over group content:'
grp = self.get_dataset_from_hdf5_file(grpname)
for key,val in dict(grp).iteritems() :
#print ' ', key, val
if key.find(pattern)==0 :
#print ' ', val.name
dsname = val.name + '/' + suffix
#print 'get_cspad_config_dsname(): found configuration dsname in hdf5 file:', dsname
return dsname
return None
def loadImageArrayFromFile ( self, fname='cspad-ave100-cxi80410-r0628-v02.txt' ) :
self.arr = gm.getNumpyArrayFromFile(fname)
def loadImageArrayFromFile(self,
fname='cspad-ave100-cxi80410-r0628-v02.txt'):
self.arr = gm.getNumpyArrayFromFile(fname)
