def hit_global_weight_test():
Hit.clear_global_weights()
hit = Hit.new_from_dict({
"spill": 1,
"event_number": 2,
"particle_number": 3
})
if (abs(hit.get("global_weight") - 1.) > 1e-9): return 'fail'
hit.set('global_weight', 0.5)
if (abs(hit.get_global_weight() - 0.5) > 1e-9): return 'fail'
Hitcore.clear_global_weights()
if (abs(hit.get_global_weight() - 1.) > 1e-9): return 'fail'
return 'pass'
def test_cut_double_global(self):
for i in self.events:
hitcore = self.bunchcore.get_item(i)
self.assertAlmostEqual(hitcore.get('global_weight'), 1)
self.bunchcore.cut_double("x", operator.gt, 10.5, True)
for i in self.events:
hitcore = self.bunchcore.get_item(i)
if i > 10:
self.assertAlmostEqual(hitcore.get('global_weight'), 0)
else:
self.assertAlmostEqual(hitcore.get('global_weight'), 1)
Hitcore.clear_global_weights()
for i in self.events:
hitcore = self.bunchcore.get_item(i)
self.assertAlmostEqual(hitcore.get('global_weight'), 1)
def test_set_item(self):
bc1 = Bunchcore()
hc1 = Hitcore()
# should extend the bunchcore
bc1.set_item(hc1, 19)
self.assertEqual(bc1.length(), 20)
bc1.set_item(hc1, -20)
self.assertEqual(bc1.length(), 20)
bc1.set_item(hc1, 20)
self.assertEqual(bc1.length(), 21)
bc1.set_item(hc1, -21)
self.assertEqual(bc1.length(), 21)
bc1.set_item(hc1, -31)
bc1.set_item(hc1, -25)
try:
bc1.set_item(hc1)
raise RuntimeError("Expected an exception")
except TypeError:
pass
try:
bc1.set_item(hc1, "not an int")
raise RuntimeError("Expected an exception")
except TypeError:
pass
try:
bc1.set_item("not a hitcore", 0)
raise RuntimeError("Expected an exception")
except TypeError:
pass
def test_compare(self):
hc1 = Hitcore()
hc2 = Hitcore()
hc3 = hc1
self.assertTrue(hc1 == hc3)
self.assertFalse(hc1 != hc3)
self.assertFalse(hc1 == hc2)
self.assertTrue(hc1 != hc2)
self.assertFalse(hc1 == 0)
self.assertFalse(0 == hc1)
try:
hc1 < hc2
raise RuntimeError('Expected failure')
except TypeError:
pass
def _test_hit_memory(self):
gc.collect()
hitcore_memory = Hitcore.dump_memory()
for address, number_of_allocations in hitcore_memory.items():
if number_of_allocations != 0:
print("Hitcore not deleted at address", address, \
"with", number_of_allocations, "remaining references")
self.assertEqual(sum(hitcore_memory.values()), 0)
def test_set_vars(self):
self.assertEqual(
sorted(Hitcore.set_variables()),
sorted([
'x', 'y', 'z', 't', 'px', 'py', 'pz', 'energy', 'mass',
'local_weight', 'global_weight', 'bx', 'by', 'bz', 'ex', 'ey',
'ez', 'sx', 'sy', 'sz', 'path_length', 'proper_time', 'e_dep',
'charge', 'event_number', 'station', 'pid', 'status', 'spill',
'particle_number', 'eventNumber', 'particleNumber'
]))
def test_cut_double_bad(self):
try:
self.bunchcore.cut_double("none", operator.gt, 10.5, True)
raise RuntimeError("Should have thrown")
except TypeError:
pass
try:
self.bunchcore.cut_double("x", self.bad_callable, 10.5, True)
raise RuntimeError("Should have thrown")
except TypeError:
pass
try:
self.bunchcore.cut_double("x", operator.gt, "string", True)
raise RuntimeError("Should have thrown")
except TypeError:
pass
# this is okay, "string" evaluates to true
self.bunchcore.cut_double("x", operator.gt, 10.5, "string")
# now clear any weightings applied!
Hitcore.clear_global_weights()
def test_get_item(self):
mem_dump_in = Hitcore.dump_memory()
bc1 = Bunchcore()
hc1 = Hitcore()
self.assertEqual(sys.getrefcount(hc1), 2)
bc1.set_item(hc1, 0)
self.assertEqual(sys.getrefcount(hc1), 2)
hc2 = bc1.get_item(0)
self.assertEqual(sys.getrefcount(hc2), 2)
self.assertEqual(hc1, hc2)
hc3 = bc1.get_item(-1)
self.assertEqual(hc3, hc1)
hc11 = Hitcore()
bc1.set_item(hc11, 1)
hc12 = bc1.get_item(1)
self.assertEqual(hc12, hc11)
self.assertNotEqual(hc12, hc1)
hc13 = bc1.get_item(-2)
self.assertEqual(hc13, hc11)
bc1.set_item(hc11, 4)
hc22 = bc1.get_item(4)
self.assertEqual(hc22, hc11)
hc23 = bc1.get_item(-5)
self.assertEqual(hc23, hc11)
hc24 = bc1.get_item(3) # no value stored, pad with None
self.assertEqual(hc24, None)
try:
bc1.get_item("not an int")
raise RuntimeError("Expected an exception")
except TypeError:
pass
del (bc1)
self.assertEqual(sys.getrefcount(hc1), 2)
def test_set(self):
a = Hitcore()
z_target = 112.0
a.set('z', z_target)
try:
a.set('bilbo', 114.0)
raise KeyError('Expected exception for bad set variable')
except:
pass
def test_get(self):
a = Hitcore()
z_target = 112.0
a.set('z', z_target)
if (abs(a.get('z') - z_target) > 1e-9):
raise KeyError('get or set failed')
try:
a.get('bilbo')
raise KeyError(
'Did not get expected exception for bad get variable')
except:
pass
return 'pass'
class Hit(object):
"""
Represents a particle at a point in some phase space. Hit contains functions for i/o,
as well as accessors for rectangular or cylindrical coordinate systems and functions to
perform translations, abelian transformations etc.
Hit has the following variables (stored for real in C struct Hitcore)
- **x** transverse horizontal position
- **y** transverse vertical position
- **z** longitudinalposition
- **t** time
- **px** transverse horizontal component of momentum
- **py** transverse vertical component of momentum
- **pz** longitudinal component of momentum
- **energy** total energy
- **local_weight** local statistical weight (for a particular hit)
- **mass** particle mass
- **bx** horizontal component of magnetic field
- **by** vertical component of magnetic field
- **bz** longitudinal component of magnetic field
- **ex** x component of electric field
- **ey** y component of electric field
- **ez** z component of electric field
- **sx** x component of spin vector
- **sy** y component of spin vector
- **sz** z component of spin vector
- **path_length** total distance traversed by a particle
- **proper_time** proper time of the particle
- **e_dep** energy deposited, as registered by a Monte Carlo code
- **charge** particle charge, in units of electron charge
- **station** output plane index
- **pid** PDG particle ID (am I an electron? am I a proton?)
- **status** is the particle track okay? (code dependent)
- **spill** indexes the spill (for MICE)
- **event_number** indexes the event
- **particle_number** indexes the particle track within the event
Additionally,
- global_weight is a global statistical weight (for a particular particle).
All hits with the same (spill, event_number, particle_number) will register
the same global weight.
"""
#this lets python define a global vtable rather than one for each instance
__slots__ = ['__hitcore']
def __init__(self):
"""Initialise to an empty event. Alternatively use static initialisers defined below - I prefer static initialisers"""
self.__hitcore = Hitcore()
def __repr__(self):
"""Formatting for print command"""
return 'Hit.new_from_dict(' + repr(self.dict_from_hit()) + ')'
def __copy__(self):
"""Shallow copy i.e. copy as reference"""
hitCopy = self
return hitCopy
def __deepcopy__(self, target):
"""Deep copy i.e. copy as data"""
target = Hit.new_from_dict(self.dict_from_hit())
return target
def __eq__(self, target, float_tolerance=Common.float_tolerance):
"""Test for equality of data values between self and target"""
if type(self) != type(target): return False
for key in self.__hitcore.get_variables():
if abs(self.__hitcore.get(key) -
target.__hitcore.get(key)) > float_tolerance:
return False
return True
def __ne__(self, target, float_tolerance=Common.float_tolerance):
"""Test for inequality of data values between self and target"""
return not self.__eq__(target, float_tolerance)
def __getitem__(self, variable):
"""Mimic some aspects of dict"""
return self.get(variable)
def __setitem__(self, variable, value):
"""Mimic some aspects of dict"""
return self.set(variable, value)
def __del__(self):
"""Clean up"""
del (self.__hitcore)
# static initialisers #############
def new_from_dict(set_dict, mass_shell_string=''):
"""
Static function returns a new hit object, setting data using string:value dict. Then forces E^2=p^2+m^2 by changing mass_shell_string.
- set_dict = dict of string:value pairs where strings are from set_variables()
- mass_shell_string = string from list mass_shell_variables that references the value that will be changed to force E^2=p^2+m^2
e.g. myHit = Hit.new_from_dict({'x':5, 'y':0, 'z':100, 'px':0, 'py':5, 'pz':200, 'pid':-13}, 'energy' )
"""
my_hit = Hit()
for k, v in set_dict.items():
my_hit.set(k, v)
if (mass_shell_string != ''):
my_hit.mass_shell_condition(mass_shell_string)
return my_hit
new_from_dict = staticmethod(new_from_dict)
def new_from_read_builtin(format, filehandle):
"""
Static function returns a new hit object, read from filehandle with a built-in format
- format = string from the list file_types() that defines the format of the input
- filehandle = filehandle from which the hit object will be read
e.g. myHit = Hit.new_from_read_builtin('zgoubi', myfile)
Note that this will read one event, typically corresponding to one line in <filehandle>
"""
if format == 'opal_loss':
hit = Hit()
opal_read = hit.__read_opal_loss_file(filehandle)
return hit
else:
return xboa.hit.factory.BuiltinHitFactory(format,
filehandle).make_hit()
new_from_read_builtin = staticmethod(new_from_read_builtin)
def new_from_read_user(format_list,
format_units_dict,
filehandle,
mass_shell_condition=''):
"""
Static function returns a new hit object sets data using string/value pairs from set_dict and forces E^2=p^2+m^2 by changing mass_shell_string
- format_list = ordered list of variables from get_variables() that contains the particle variables on each line of your input file
- format_units_dict = dict of variables:units that are used to transform to internal system of units
- filehandle = file handle, created using e.g. filehandle = open('for009.dat')
e.g. myHit = Hit.new_from_read_user(['x','y','z','px','py','pz'], {'x':'mm', 'y':'mm', 'z':'mm', 'px':'MeV/c', 'py':'MeV/c', 'pz':'MeV/c'}, my_input_file)
"""
return xboa.hit.factory.UserHitFactory(
format_list, format_units_dict, filehandle,
mass_shell_condition).make_hit()
new_from_read_user = staticmethod(new_from_read_user)
@classmethod
def new_list_from_maus_root(cls, format, root_tree, entry_number=0):
"""
Static function returns a list of hit objects found in the spill
- format = type to take from the maus file.
- root_tree = TTree containing maus spill data, of type ROOT.TTree
- entry_number = index of the spill entry in the TTree
Returns a list of hit objects. Station number will be taken from the relevant maus_type. event_number will be given by the spill_number. track_number will be given by
the index on mc_events or recon_events
"""
fac = xboa.hit.factory.factory.MausRootHitFactory(
format, root_tree, entry_number)
hit_list = [hit for hit in fac.hit_generator()]
return hit_list
@classmethod
def new_list_from_maus_json(cls, format, filehandle):
"""
Static function returns a list of hit objects found in the spill
- format = type to take from the maus file.
- filehandle = filehandle containing json formatted data
Returns a list of hit objects. Station number will be taken from the
relevant maus_type. event_number will be given by the spill_number.
track_number will be given by the index on mc_events or recon_events.
"""
fac = xboa.hit.factory.factory.MausJsonHitFactory(format, file_handle)
hit_list = [hit for hit in fac.hit_generator()]
return hit_list
def copy(self):
"""Return a shallow copy of self (copying data as references)"""
return self.__copy__()
def deepcopy(self):
"""Return a deep copy of target (deep copying target's data to self as well)"""
target = Hit()
target = copy.deepcopy(self)
return target
# Transformations #################
def get_vector(self, get_variable_list, origin_dict={}):
"""
Return a numpy vector of data values taking data from get_variable_list, relative to some origin
- get_variable_list = list of variable strings from get_variables()
- origin_dict = dict of variable strings to origin value; if not set, assumes 0
e.g. transverse_vector = myHit.get_vector(['x', 'y', 'px', 'py'])
"""
config.has_numpy()
my_list = []
for key in get_variable_list:
if key in origin_dict: origin = origin_dict[key]
else: origin = 0.
my_list.append(self.get(key) - origin)
return matrix(numpy.array(my_list))
def translate(self, translation_dict, mass_shell_string):
"""
Iterate over translation_dict and add the value in the dict to the value stored in Hit. Then force E^2 = p^2 + m^2
- translation_dict = dict of strings from list set_variables() to floats
- mass_shell_string = string from list mass_shell_variables()
"""
for k, v in translation_dict.items():
self.set(k, v + self.get(k))
self.mass_shell_condition(mass_shell_string)
def abelian_transformation(self,
rotation_list,
rotation_matrix,
translation_dict={},
origin_dict={},
mass_shell_variable=''):
"""
Perform an abelian transformation about the origin, i.e. V_out - O = R*(V_in-O) + T.
Then force E^2 = p^2 + m^2
- rotation_list = list of variables to be rotated
- rotation_matrix = matrix R
- translation_dict = dict of strings from set_variables() to floats. Becomes O
- mass_shell_variable = string from list mass_shell_variables()
- origin_dict = dict of strings from set_variables() to floats. Becomes t
e.g. hit.abelian_transformation(['x','px'], array[[1,0.5],[0,1]],{'x':10},'energy') will
look like a drift space plus a translation
"""
vector = (self.get_vector(rotation_list)).transpose()
origin = copy.deepcopy(origin_dict)
trans = copy.deepcopy(translation_dict)
for key in rotation_list:
if not key in origin: origin[key] = 0
if not key in trans: trans[key] = 0
for i in range(len(rotation_list)):
vector[i, 0] -= origin[rotation_list[i]]
vector = rotation_matrix * vector
for i in range(len(rotation_list)):
self.set(
rotation_list[i],
float(vector[i, 0] + trans[rotation_list[i]] +
origin[rotation_list[i]]))
self.mass_shell_condition(mass_shell_variable)
return self
def mass_shell_condition(self, variable_string, float_tolerance=1.e-6):
"""
Change variable represented by variable_string to force E^2 = p^2 + m^2
- variable_string = string which should be one of the list mass_shell_variables().
"""
if (variable_string == ''):
return
px = self.get('px')
py = self.get('py')
pz = self.get('pz')
e = self.get('energy')
m = self.get('mass')
if (variable_string == 'p'):
self.set('p', ((e - m) * (e + m))**0.5)
elif (variable_string == 'px'): #get direction right!
val = (e * e - m * m - py * py - pz * pz)
if val > float_tolerance: self.set('px', abs(val)**1.5 / val)
else: self.set('px', 0.)
elif (variable_string == 'py'):
val = (e * e - m * m - px * px - pz * pz)
if val > float_tolerance: self.set('py', abs(val)**1.5 / val)
else: self.set('py', 0.)
elif (variable_string == 'pz'):
val = (e * e - m * m - px * px - py * py)
if val > float_tolerance: self.set('pz', abs(val)**1.5 / val)
else: self.set('pz', 0.)
elif (variable_string == 'energy'):
self.set('energy', (m * m + px * px + py * py + pz * pz)**0.5)
else:
raise IndexError('mass_shell_condition did not recognise \'' +
str(variable_string) + '\'. Options are ' +
str(self.__mass_shell_variables))
# Manipulators ################
def get(self, key):
"""
Return the value referenced by key
- key = string which should be one of the list get_variables()
"""
try:
return self.__hitcore.get(key)
except Exception:
pass
if (key in self.__get_variables):
return self.__get_variables[key](self)
else:
raise IndexError(
'Key \'' + str(key) +
'\' could not be found for Hit.get() - should be one of ' +
str(Hit.get_variables()))
def set(self, key, value):
"""
Set the value referenced by key
- key = string which should be one of the list get_variables()
- value = float
"""
try:
self.__hitcore.set(key, value)
return
except:
pass
if (key in self.__set_variables):
self.__set_variables[key](self, value)
else:
raise IndexError(
'Key \'' + str(key) +
'\' could not be found for Hit.set() - should be one of ' +
str(Hit.set_variables()))
def check(self, tolerance_float=1e-3):
"""Return True if mass shell condition is obeyed and pid is correct for the mass else return False"""
pid = self.get('pid')
if (not abs(pid) in Common.pdg_pid_to_mass) and (
not pid in Hit.__bad_pids) and (not pid == 0):
print('pid not recognised', self.get('pid'))
return False
if abs(pid) in list(Common.pdg_pid_to_mass.keys()):
if abs(self.get('mass') -
Common.pdg_pid_to_mass[abs(pid)]) > tolerance_float:
print('Mass', self.get('mass'), 'does not match pid',
self.get('pid'))
return False
if abs(
round(self.get('p')**2 + self.get('mass')**2) -
round(self.get('energy')**2)) > tolerance_float:
return False
return True
def dict_from_hit(self):
"""
Return a dict that uniquely defines the hit, so that new_from_dict(dict_from_hit(hit)) returns a copy of hit
"""
my_dict = {}
for key in self.__hitcore.set_variables():
my_dict[key] = self.__hitcore.get(key)
return my_dict
# IO ###################
def write_builtin_formatted(self, format, file_handle):
"""
Write to a file formatted according to built-in file_type format
- format = string from file_types
- file_handle = file handle made using e.g. open() command
e.g. aHit.write_builtin_formatted('icool_for009', for009_dat) would write aHit in icool_for009 format to for009_dat
"""
if (format.find('maus') > -1):
raise IOError("Can't write single maus hits, only lists of hits")
if (format.find('icool') > -1):
self.set('pid', Common.pdg_pid_to_icool[self.get('pid')])
if (format.find('mars') > -1):
self.set('pid', Common.pdg_pid_to_mars[self.get('pid')])
self.__write_formatted(self.__file_formats[format],
self.__file_units[format], file_handle)
if (format.find('icool') > -1):
self.set('pid', Common.icool_pid_to_pdg[self.get('pid')])
if (format.find('mars') > -1):
self.set('pid', Common.mars_pid_to_pdg[self.get('pid')])
def write_list_builtin_formatted(list_of_hits,
file_type_string,
file_name,
user_comment=None):
"""
Write a list of hits to a file formatted according to built-in file_type format
- format = string from file_types
- file_handle = file handle made using e.g. open() command
- user_comment = comment included in some output formats (e.g. problem title, etc)
For example,
aHit.write_list_builtin_formatted([hit1, hit2] 'icool_for009', 'for009_dat')
would write hit1, hit2 in icool_for009 format to for009_dat
"""
if (file_type_string.find('maus_root') > -1):
raise IOError("Can't write maus_root formats")
filehandle = Hit.open_filehandle_for_writing(file_type_string,
file_name, user_comment)
if (file_type_string.find('maus') > -1):
maus_tree = Hit.get_maus_tree(list_of_hits, file_type_string)
for spill_number, item in enumerate(maus_tree):
item["maus_event_type"] = "Spill"
item["spill_number"] = spill_number
print(json.dumps(item), file=filehandle)
return
comptor = (Hit.__station_cmp)
list_of_hits.sort(comptor)
old_hit = None
current_hits = []
for hit_in in list_of_hits:
if old_hit == None or comptor(hit_in, old_hit) == 0:
current_hits.append(hit_in)
else:
for hit_out in current_hits:
try:
hit_out.write_builtin_formatted(
file_type_string, filehandle)
except:
pass
current_hits = [hit_in]
old_hit = hit_in
for hit_out in current_hits:
try:
hit_out.write_builtin_formatted(file_type_string, filehandle)
except:
print('Warning - failed to write ', hit_out)
filehandle.close()
return
write_list_builtin_formatted = staticmethod(write_list_builtin_formatted)
def open_filehandle_for_writing(file_type_string,
file_name,
user_comment=None):
"""
Open a file handle of the specified type for writing. Some filehandles need special care, e.g. some are gzipped etc
- file_type_string = open filehandle for this file type
- file_name = string name of the file
"""
filehandle = None
filehandle = open(file_name, 'w')
filehandle.write(Hit.file_header(file_type_string, user_comment))
return filehandle
open_filehandle_for_writing = staticmethod(open_filehandle_for_writing)
def file_header(file_type_string, user_comment=None):
"""
Return the file_header for the given file_type. Optionally, can add a user comment
- file_type_string = header returned for this file type. Select from file_types()
- user_comment = add a user comment - default is 'File generated by xboa'
e.g. Hit.file_header('icool_for009', 'This is my for009 file') would set 'This is my for009 file'
as a user comment and return the header string
"""
if user_comment == None:
file_header = Hit.__file_headers[file_type_string].replace(
str('<user>'), str(Hit.__default_user_string))
else:
file_header = Hit.__file_headers[file_type_string].replace(
str('<user>'), str(user_comment))
return file_header
file_header = staticmethod(file_header)
def write_user_formatted(self,
format_list,
format_units_dict,
file_handle,
separator=' '):
"""
Write to a file formatted according to built-in file_type format
- format_list = ordered list of strings from get_variables()
- format_units_dict = dict of formats from format_list to units
- file_handle = file handle made using e.g. open() command
e.g. aHit.write_user_formatted(['x','px','y','py'], ['x':'m','y':'m','px':'MeV/c','py':'MeV/c'], some_file, '@') would make output like
[email protected]@[email protected] in some_file
"""
self.__write_formatted(format_list, format_units_dict, file_handle,
separator)
def file_types():
"""Static function returns a list of available file types"""
return Hit.__file_types
file_types = staticmethod(file_types)
def get_maus_dict(self, type_name):
"""
Convert from hit to a maus dict for MAUS IO
- type_name = name of the maus type to generate
Returns a tuple of (maus_dict, spill_number)
"""
maus_dict = {}
three_vec_conversions = Hit.__maus_three_vec_conversions[type_name]
conversion_dict = Hit.__maus_variable_conversions[type_name]
for maus_name, xboa_suffix in three_vec_conversions.items():
maus_dict[maus_name] = {}
for xyz in ['x', 'y', 'z']:
maus_dict[maus_name][xyz] = self[xboa_suffix + xyz]
for maus_key, xboa_key in conversion_dict.items():
maus_dict[maus_key] = self[xboa_key]
for key, value in Hit._Hit__file_units[type_name]:
xboa_dict[key] *= Hit._Hit__file_units[type_name][key]
return (maus_dict, self['event_number'])
def get_maus_tree(list_of_hits, type_name):
"""
Convert from list of hits to a tree of maus objects
- list_of_hits = list of hits to be converted
- type_name = maus type, used to define position in the maus tree
Return value is a list of maus spills (each of which is a data tree)
"""
# tried to be fairly general here; this should work for any tree that has all hit data
# stored either directly at the same level or in three vectors at the same level
# if we need to put pid here, momentum there, etc... then we need to think again
return Hit.__get_maus_tree_recursive(list_of_hits, [["event_number"]] +
Hit.__maus_paths[type_name],
type_name)
get_maus_tree = staticmethod(get_maus_tree)
# static data that describe the class #################
def mass_shell_variables():
"""Static function returns a list of variables suitable for mass_shell_condition calls"""
return Hit.__mass_shell_variables
mass_shell_variables = staticmethod(mass_shell_variables)
def get_variables():
"""Static function returns a list of variable suitable for get calls"""
return Hit.__get_keys
get_variables = staticmethod(get_variables)
def set_variables():
"""Static function returns a list of variable suitable for set calls"""
return Hit.__set_keys
set_variables = staticmethod(set_variables)
# get and set variables ####################
def get_p(self):
"""Returns total momentum of the hit"""
return (self.get('px')**2 + self.get('py')**2 + self.get('pz')**2)**0.5
def get_r(self):
"""Returns transverse distance (i.e. in x,y space) from 0,0"""
return (self.get('x')**2 + self.get('y')**2)**0.5
def get_phi(self):
"""Returns transverse angle (i.e. in x,y space) in range (-pi, pi); phi = 0. is positive y and phi = pi/2 is positive x"""
return math.atan2(self['y'], self['x'])
def get_pt(self):
"""Returns transverse momentum of the hit"""
return (self['px']**2 + self['py']**2)**0.5
def get_pphi(self):
"""Returns transverse angle of momentum (i.e. in px,py space) in range (-pi, pi); phi = 0. is positive py and phi = pi/2 is positive px"""
return math.atan2(self['py'], self['px'])
def get_r_squared(self):
"""Returns x divergence i.e. px/pz of the hit"""
return (self['x']**2 + self['y']**2)
def get_xP(self):
"""Returns x divergence i.e. px/pz of the hit"""
return (self['px'] / self['pz'])
def get_yP(self):
"""Returns y divergence i.e. py/pz of the hit"""
return (self['py'] / self['pz'])
def get_tP(self):
"""Returns t \'divergence\' i.e. E/pz of the hit"""
return (-self['energy'] / self['pz'])
def get_rP(self):
"""Returns dr/dz = pt/pz of the hit"""
return (self.get('pt') / self['pz'])
def get_spin(self):
"""Returns absolute value of the spin"""
return (self.get('sx')**2 + self.get('sy')**2 + self.get('sz')**2)**0.5
def get_ct(self):
"""Returns speed_of_light*t of the hit"""
return (self['t'] * Common.constants['c_light'])
def get_ek(self):
"""Returns total energy - mass, ie kinetic energy of the hit"""
return self['energy'] - self.get('mass')
def set_ek(self, value_float):
"""Sets kinetic energy = total energy - mass of the hit"""
self['energy'] = value_float + self.get('mass')
def get_l_kin(self):
"""Returns kinetic angular momentum about the z-axis.
To use a different axis, you will have to perform your own transformation"""
return self['x'] * self['py'] - self['y'] * self['px']
def set_ct(self, value_float):
"""Sets t = value_float/c_light"""
self['t'] = value_float / Common.constants['c_light']
def set_p(self, value_float):
"""Set p to value_float keeping momentum direction constant"""
p = self.get_p()
if (p == 0):
self.set('pz', 1.)
scale = value_float / self.get_p()
self['px'] *= scale
self['py'] *= scale
self['pz'] *= scale
def set_xP(self, value_float):
"""Set x\' to value_float keeping pz constant"""
if (math.fabs(self['pz']) < 1e-9):
raise FloatingPointError('Cant set x\' while pz is 0')
self['px'] = value_float * self['pz']
def set_yP(self, value_float):
"""Set y\' to value_float keeping pz constant"""
if (math.fabs(self['pz']) < 1e-9):
raise FloatingPointError('Cant set y\' while pz is 0')
self['py'] = value_float * self['pz']
def set_tP(self, value_float):
"""Set t\' (dt/dz=-E/pz) to value_float keeping pz constant; note sign of pz may change"""
if (math.fabs(self['pz']) < 1e-9):
raise FloatingPointError('Cant set t\' while pz is 0')
self['energy'] = -value_float * self['pz']
if self['pz'] < 0.:
self['energy'] *= -1.
self['pz'] *= -1.
if self['energy'] < self.get('mass'):
raise FloatingPointError('Energy less than muon mass')
def get_weight(self):
"""Returns total weight for this Hit"""
return self.get('global_weight') * self.get('local_weight')
def clear_global_weights():
"""Set all global weights to 1"""
Hitcore.clear_global_weights()
clear_global_weights = staticmethod(clear_global_weights)
def delete_global_weights():
"""Clear memory allocated to global weights - also resets global weights to 1"""
raise NotImplementedError(
"delete_global_weights is deprecated - please use clear_global_weights"
)
delete_global_weights = staticmethod(delete_global_weights)
def get_local_weight(self):
"""Returns local weight for this Hit"""
return self.get('local_weight')
def set_local_weight(self, value):
"""Set local weight for this Hit to be value"""
self.set('local_weight', value)
def get_global_weight(self):
"""Returns global weight for this Hit"""
return self.get('global_weight')
def set_global_weight(self, value):
"""Set global weight for this Hit to be value"""
self.set('global_weight', value)
def set_g4bl_unit(unit):
"""
g4beamline_track_file can take different units for length - set the unit here
- unit = string that is a unit of length
e.g. set_g4bl_unit('m') would set the length unit to metres
"""
Hit.__file_units['g4beamline_bl_track_file']['x'] = unit
Hit.__file_units['g4beamline_bl_track_file']['y'] = unit
Hit.__file_units['g4beamline_bl_track_file']['z'] = unit
set_g4bl_unit = staticmethod(set_g4bl_unit)
def __getstate__(self):
"""
Used by python pickle module for serialisation
Returns a dict as in dict_from_hit
"""
return self.dict_from_hit()
def __setstate__(self, state):
"""
Used by python pickle module for deserialisation
- state: a dictionary object defined by dict_from_hit
Sets self to be equal to new_from_dict(state)
"""
self.__init__()
for k, v in state.items():
self.set(k, v)
#write formatted output - don't touch mass or pid beyond reading them
def __write_formatted(self,
format_list,
format_units_dict,
file_handle,
separator=' '):
for key in format_list:
if key == '': value = 0
else:
value = Hit._default_var_types[key](
self.get(key) / Common.units[format_units_dict[key]])
file_handle.write(str(value) + separator)
file_handle.write('\n')
# extract virtual hits from the root tree
def __get_maus_root_virtual_hits(mc_event, track_number):
hit_list = []
for i in range(mc_event.GetVirtualHitsSize()):
maus_hit = mc_event.GetAVirtualHit(i)
pid = maus_hit.GetParticleId()
hit_dict = {
'pid': pid,
't': maus_hit.GetTime(),
'charge': maus_hit.GetCharge(),
'proper_time': maus_hit.GetProperTime(),
'path_length': maus_hit.GetPathLength(),
'station': maus_hit.GetStationId(),
'x': maus_hit.GetPosition().x(),
'y': maus_hit.GetPosition().y(),
'z': maus_hit.GetPosition().z(),
'px': maus_hit.GetMomentum().x(),
'py': maus_hit.GetMomentum().y(),
'pz': maus_hit.GetMomentum().z(),
'bx': maus_hit.GetBField().x(),
'by': maus_hit.GetBField().y(),
'bz': maus_hit.GetBField().z(),
'ex': maus_hit.GetEField().x(),
'ey': maus_hit.GetEField().y(),
'ez': maus_hit.GetEField().z(),
'particle_number': maus_hit.GetTrackId()
}
hit_dict['mass'] = Common.pdg_pid_to_mass[abs(pid)]
if hit_dict['pid'] != 0:
hit_list.append(Hit.new_from_dict(hit_dict, 'energy'))
else:
print(
'Warning - pid 0 detected in maus_root_virtual_hit; hit will not be loaded'
)
return hit_list
__get_maus_root_virtual_hits = staticmethod(__get_maus_root_virtual_hits)
def __get_maus_root_primary_hits(mc_event, track_number):
maus_hit = mc_event.GetPrimary()
pid = maus_hit.GetParticleId()
hit_dict = {
'pid': pid,
'energy': maus_hit.GetEnergy(),
't': maus_hit.GetTime(),
'x': maus_hit.GetPosition().x(),
'y': maus_hit.GetPosition().y(),
'z': maus_hit.GetPosition().z(),
'px': maus_hit.GetMomentum().x(),
'py': maus_hit.GetMomentum().y(),
'pz': maus_hit.GetMomentum().z()
}
hit_dict['particle_number'] = 0
hit_dict['charge'] = Common.pdg_pid_to_charge[abs(pid)]
hit_dict['mass'] = Common.pdg_pid_to_mass[abs(pid)]
return [Hit.new_from_dict(hit_dict, 'energy')]
__get_maus_root_primary_hits = staticmethod(__get_maus_root_primary_hits)
# split a list into sub lists where items in sublist have item1[sort_value] == item2[sort_value]
def __split_list_by_equality(a_list, sort_attribute):
a_dict = {}
for item in a_list:
value = item[sort_attribute]
if not value in a_dict: a_dict[value] = []
a_dict[value].append(item)
return list(a_dict.values())
__split_list_by_equality = staticmethod(__split_list_by_equality)
# recursively reconstruct the maus_path
def __get_maus_tree_recursive(list_of_hits, maus_path, format):
if len(maus_path) == 1:
if type(maus_path[0]) == type(""):
if len(list_of_hits) > 1:
for hit in list_of_hits:
print(hit)
raise IOError("More than one hit for maus key")
return {maus_path[0]: list_of_hits[0].get_maus_dict(format)[0]}
if type(maus_path[0]) == type([]):
return [hit.get_maus_dict(format)[0] for hit in list_of_hits]
if type(maus_path[0]) == type([]):
list_of_hits_new = Hit.__split_list_by_equality(
list_of_hits, maus_path[0][0])
my_output = [
Hit.__get_maus_tree_recursive(x, maus_path[1:], format)
for x in list_of_hits_new
]
if len(maus_path) == 1:
output = []
for out in my_output:
output += out
else:
output = my_output
return my_output
if type(maus_path[0]) == type(""):
return {
maus_path[0]:
Hit.__get_maus_tree_recursive(list_of_hits, maus_path[1:],
format)
}
__get_maus_tree_recursive = staticmethod(__get_maus_tree_recursive)
# split a list into sub lists where items in sublist have item1[sort_value] == item2[sort_value]
def __split_list_by_equality(a_list, sort_attribute):
a_dict = {}
for item in a_list:
value = item[sort_attribute]
if not value in a_dict: a_dict[value] = []
a_dict[value].append(item)
return list(a_dict.values())
__split_list_by_equality = staticmethod(__split_list_by_equality)
def __return_one(self, value=''):
return 1.
def __do_nothing(self, value=''):
pass
#internal data
#information on available types
__file_types = [
'icool_for009', 'icool_for003', 'g4beamline_bl_track_file', 'mars_1'
] #'opal_loss'
__file_types += [
'maus_json_virtual_hit', 'maus_json_primary',
'maus_json_special_virtual_hit'
]
try:
config.has_maus()
__file_types += [
'maus_root_virtual_hit', 'maus_root_primary', 'maus_root_step',
'maus_root_scifi_trackpoint', 'maus_root_scifi_and_tof'
]
except ImportError:
pass
__mass_shell_variables = ['', 'p', 'px', 'py', 'pz', 'energy']
__get_variables = {
'p': get_p,
'r': get_r,
'phi': get_phi,
'pt': get_pt,
'pphi': get_pphi,
'x\'': get_xP,
'y\'': get_yP,
't\'': get_tP,
'ct\'': get_tP,
'r\'': get_rP,
'spin': get_spin,
'weight': get_weight,
'ct': get_ct,
'r_squared': get_r_squared,
'z\'': __return_one,
'kinetic_energy': get_ek,
'l_kin': get_l_kin,
'': __do_nothing
}
__set_variables = {
'p': set_p,
'x\'': set_xP,
'y\'': set_yP,
't\'': set_tP,
'ct': set_ct,
'kinetic_energy': set_ek,
'': __do_nothing
}
_default_var_types = {
'x': float,
'y': float,
'z': float,
't': float,
'px': float,
'py': float,
'pz': float,
'energy': float,
'bx': float,
'by': float,
'bz': float,
'ex': float,
'ey': float,
'ez': float,
'eventNumber': int,
'event_number': int,
'particleNumber': int,
'particle_number': int,
'pid': int,
'status': int,
'station': int,
'local_weight': float,
'sx': float,
'sy': float,
'sz': float,
'mass': float,
'path_length': float,
'proper_time': float,
'e_dep': float,
'charge': float
}
__get_keys = []
__set_keys = []
__static_dummy = Hitcore()
for key in __static_dummy.get_variables():
__get_keys.append(key)
for key in __static_dummy.set_variables():
__set_keys.append(key)
for key, value in __get_variables.items():
__get_keys.append(key)
for key, value in __set_variables.items():
__set_keys.append(key)
for key, value in __get_variables.items():
if not key in _default_var_types:
_default_var_types[key] = float #assume everything else is a float
__maus_three_vec_conversions = { # maus three vectors are sub-dicts of virtual_hit
"maus_json_virtual_hit": {
"position": "",
"momentum": "p",
"b_field": "b",
"e_field": "e"
},
"maus_json_primary": {
"position": "",
"momentum": "p"
}
}
__maus_variable_conversions = {
"maus_json_virtual_hit": {
"station_id": "station",
"particle_id": "pid",
"track_id": "particle_number",
"time": "t",
"mass": "mass",
"charge": "charge",
"proper_time": "proper_time",
"path_length": "path_length"
},
"maus_json_primary": {
"particle_id": "pid",
"time": "t",
"energy": "energy"
} # we also force "mass" from "pid"
}
__maus_paths = {
"maus_json_virtual_hit":
["mc_events", ["particle_number"], "virtual_hits", ["station"]],
"maus_json_primary": ["mc_events", ["particle_number"], "primary"],
}
__maus_root_mc_types = {
"maus_root_virtual_hit":
lambda x, y: Hit.__get_maus_root_virtual_hits(x, y),
"maus_root_primary":
lambda x, y: Hit.__get_maus_root_primary_hits(x, y)
}
__maus_root_recon_types = {}
#formatting information
__file_formats = {
'icool_for009': [
'eventNumber', 'particleNumber', 'pid', 'status', 'station', 't',
'x', 'y', 'z', 'px', 'py', 'pz', 'bx', 'by', 'bz', 'local_weight',
'ex', 'ey', 'ez', '', 'sx', 'sy', 'sz'
],
'icool_for003': [
'eventNumber', 'particleNumber', 'pid', 'status', 't',
'local_weight', 'x', 'y', 'z', 'px', 'py', 'pz', 'sx', 'sy', 'sz'
],
'g4beamline_bl_track_file': [
'x', 'y', 'z', 'px', 'py', 'pz', 't', 'pid', 'eventNumber',
'particleNumber', '', 'local_weight'
],
'ZGoubi': [],
'Turtle': [],
'MadX': [],
'mars_1': [
'eventNumber', 'pid', 'x', 'y', 'z', 'px', 'py', 'pz', 'energy',
'ct', 'local_weight'
]
}
__file_units = {
'icool_for009': {
'eventNumber': '',
'particleNumber': '',
'pid': '',
'status': '',
'station': '',
't': 's',
'x': 'm',
'y': 'm',
'z': 'm',
'px': 'GeV/c',
'py': 'GeV/c',
'pz': 'GeV/c',
'bx': 'T',
'by': 'T',
'bz': 'T',
'local_weight': '',
'ex': 'GV/m',
'ey': 'GV/m',
'ez': 'GV/m',
'sx': '',
'sy': '',
'sz': '',
'': ''
},
'icool_for003': {
'eventNumber': '',
'particleNumber': '',
'pid': '',
'status': '',
't': 's',
'local_weight': '',
'x': 'm',
'y': 'm',
'z': 'm',
'px': 'GeV/c',
'py': 'GeV/c',
'pz': 'GeV/c',
'sx': '',
'sy': '',
'sz': ''
},
'g4beamline_bl_track_file': {
'x': 'mm',
'y': 'mm',
'z': 'mm',
'px': 'MeV/c',
'py': 'MeV/c',
'pz': 'MeV/c',
't': 'ns',
'pid': '',
'eventNumber': '',
'station': '',
'local_weight': '',
'particleNumber': ''
},
'ZGoubi': {},
'Turtle': {},
'MadX': {},
'mars_1': {
'eventNumber': '',
'pid': '',
'x': 'mm',
'y': 'mm',
'z': 'mm',
'px': 'GeV/c',
'py': 'GeV/c',
'pz': 'GeV/c',
'energy': 'GeV',
'ct': 'cm',
'local_weight': ''
},
'maus_json_virtual_hit': {},
'maus_json_primary': {},
}
__file_headers = {
'icool_for003': '<user>\n0. 0. 0. 0. 0. 0. 0. 0.\n',
'icool_for009':
'#<user>\n# units = [s] [m] [GeV/c] [T] [V/m]\nevt par typ flg reg time x y z Px Py Pz Bx By Bz wt Ex Ey Ez arclength polX polY polZ\n',
'g4beamline_bl_track_file':
'#BLTrackFile <user>\n#x y z Px Py Pz t PDGid EvNum TrkId Parent weight\n',
'ZGoubi': '',
'Turtle': '',
'MadX': '',
'mars_1': '',
'maus_json_virtual_hit': '',
'maus_json_primary': '',
}
__default_user_string = 'File generated by X_BOA'
def __event_cmp(lhs, rhs):
return cmp(lhs.get('eventNumber'), rhs.get('eventNumber'))
__event_cmp = staticmethod(__event_cmp)
def __station_cmp(lhs, rhs):
return cmp(lhs.get('station'), rhs.get('station'))
__station_cmp = staticmethod(__station_cmp)
__hit_sort_comparator = {
'icool_for009': __event_cmp,
'icool_for003': __event_cmp,
'g4beamline_bl_track_file': __event_cmp,
'ZGoubi': __event_cmp,
'Turtle': __event_cmp,
'MadX': __event_cmp,
'maus_json_virtual_hit': __event_cmp,
'maus_json_primary': __event_cmp,
'mars_1': __event_cmp,
}
__angular_momentum_centroid = (0., 0., 0.)
__angular_momentum_vector = (0., 0., 1.)
__bad_pids = []
__maus_root_mc_types = {
"maus_root_virtual_hit":
lambda x, y: Hit.__get_maus_root_virtual_hits(x, y),
"maus_root_primary":
lambda x, y: Hit.__get_maus_root_primary_hits(x, y)
}
__maus_root_recon_types = {}
__opal_ignore_probes = ["RING"]
__opal_probes = {}
__opal_pid = 0
def hit_overview_doc(verbose=False):
"""Creates some summary documentation for the Hit class. If verbose is True then will also print any functions or data not included in summary"""
name_list = [
'initialise', 'get', 'set', 'transform', 'io', 'ancillary'
]
function_list = {
'initialise': [
'new_from_dict', 'new_from_read_builtin', 'new_from_read_user',
'copy', 'deepcopy'
],
'get': [
'get', 'get_ct', 'get_ek', 'get_global_weight', 'get_l_kin',
'get_local_weight', 'get_p', 'get_phi', 'get_pphi', 'get_pt',
'get_r', 'get_rP', 'get_r_squared', 'get_spin', 'get_tP',
'get_vector', 'get_weight', 'get_xP', 'get_yP'
],
'set': [
'set', 'set_ct', 'set_ek', 'set_local_weight', 'set_p',
'set_tP', 'set_variables', 'set_xP', 'set_yP',
'set_global_weight'
],
'transform':
['abelian_transformation', 'translate', 'mass_shell_condition'],
'io': [
'file_header', 'file_types', 'set_g4bl_unit',
'write_builtin_formatted', 'write_list_builtin_formatted',
'write_user_formatted', 'open_filehandle_for_writing',
'get_maus_dict', 'get_maus_paths', 'get_maus_tree'
],
'ancillary': [
'check', 'clear_global_weights', 'delete_global_weights',
'get_bad_pids', 'set_bad_pids', 'dict_from_hit',
'mass_shell_variables', 'get_variables'
]
}
function_doc = {
'initialise':
'Functions that can be used to initialise a Hit in various different ways:',
'get': 'Functions to get Hit data',
'set': 'Functions to set Hit data',
'transform': 'Functions that transform a Hit in some way:',
'io': 'Output and some input helper functions:',
'ellipse':
'Functions to calculate beam ellipses based on Twiss parameters etc:',
'ancillary': 'Some other useful functions'
}
hit_doc = '\nHit class stores all data for a Hit on e.g. a detector - so for example, (x,y,z) and (px,py,pz) data. Mimics a string-indexed dict; full documentation for internal variables is given below under Hitcore. In brief, gettable variables are\n' + str(
Hit.get_variables()
) + '\n and settable variables are\n' + str(
Hit.set_variables()
) + '.\n Call using e.g. my_hit[\'x\'] = 3. Also has IO functions and a few other useful functions.\n'
dir_hit = dir(Hit)
if verbose:
print(
'The following functions and data are in Bunch but not in overview_doc:'
)
for func in dir_hit:
found = False
for func_sublist in list(function_list.values()):
if func in func_sublist: found = True
if not found: print(func, end=' ')
print('\n')
print(
'The following functions and data are in bunch_overview_doc but not in Bunch:'
)
for func_sublist in list(function_list.values()):
for func in func_sublist:
if func not in dir_hit:
print(func, end=' ')
print()
doc = hit_doc
for key in name_list:
doc = doc + function_doc[key] + '\n'
for item in function_list[key]:
doc = doc + ' ' + item + '\n'
return doc
hit_overview_doc = staticmethod(hit_overview_doc)
def test_alloc(self):
a = Hitcore()
b = a
self.assertEqual(sys.getrefcount(a), 3)
del b
self.assertEqual(sys.getrefcount(a), 2)
def test_global_weight(self):
hitcore_list_1, hitcore_list_2 = [], []
for spill in range(3):
for event in range(3):
for particle in range(3):
hitcore_1 = Hitcore()
hitcore_1.set('spill', spill)
hitcore_1.set('event_number', event)
hitcore_1.set('particle_number', particle)
hitcore_list_1.append(hitcore_1)
hitcore_2 = Hitcore()
hitcore_2.set('spill', spill)
hitcore_2.set('event_number', event)
hitcore_2.set('particle_number', particle)
hitcore_list_2.append(hitcore_2)
for i, ref_hitcore in enumerate(hitcore_list_1):
ref_hitcore.set('global_weight', 0.2)
for hitcore_list in hitcore_list_1, hitcore_list_2:
for j, test_hitcore in enumerate(hitcore_list):
if i == j:
self.assertAlmostEqual(
test_hitcore.get('global_weight'), 0.2)
elif j < i:
self.assertAlmostEqual(
test_hitcore.get('global_weight'), 0.9)
else:
self.assertAlmostEqual(
test_hitcore.get('global_weight'), 1.0)
ref_hitcore.set('global_weight', 0.9)
Hitcore.clear_global_weights()
for i, ref_hitcore in enumerate(hitcore_list):
self.assertAlmostEqual(test_hitcore.get('global_weight'), 1.0)
def setUp(self):
self.bunchcore = Bunchcore()
self.events = range(5, 21)
for i in self.events:
hitcore = Hitcore()
hitcore.set('x', float(i))
hitcore.set('y', -float(i))
hitcore.set('pz', 10. - float(i))
hitcore.set('energy', 10. - float(i)**2.)
hitcore.set('local_weight', float(i) + 1.)
hitcore.set('event_number', i)
self.bunchcore.set_item(hitcore, i)
def clear_global_weights():
"""Set all global weights to 1"""
Hitcore.clear_global_weights()
def __init__(self):
"""Initialise to an empty event. Alternatively use static initialisers defined below - I prefer static initialisers"""
self.__hitcore = Hitcore()
def hit_get_test(hit):
test_pass = True
for key in hit.get_variables():
try:
value = hit.get(key)
good = True
if type(key) == int:
good = abs(hit._Hit__dynamic[key] - value) < __float_tol
else:
if key in Hitcore.get_variables():
good = abs(hit.get(key) -
hit._Hit__hitcore.get(key)) < __float_tol
elif key == 'p':
good = abs(
math.sqrt(
hit.get('px')**2 + hit.get('py')**2 +
hit.get('pz')**2) - value) < __float_tol
elif key == 'r':
good = abs(
math.sqrt(hit.get('x')**2 + hit.get('y')**2) -
value) < __float_tol
elif key == 'phi': good = abs(math.atan(hit.get('y')/hit.get('x')) - value) < __float_tol \
or ( abs(hit.get('x')) < __float_tol and abs(hit.get('y'))/hit.get('y')*(2.*value/math.pi)-1 < __float_tol)
elif key == 'pt':
good = abs(
math.sqrt(hit.get('px')**2 + hit.get('py')**2) -
value) < __float_tol
elif key == 'pphi': good = abs(math.atan(hit.get('py')/hit.get('px')) - value) < __float_tol \
or ( abs(hit.get('px')) < __float_tol and abs(hit.get('py'))/hit.get('py')*(2.*value/math.pi)-1 < __float_tol)
elif key == 'x\'':
good = abs(hit.get('px') / hit.get('pz') -
value) < __float_tol
elif key == 'y\'':
good = abs(hit.get('py') / hit.get('pz') -
value) < __float_tol
elif key == 't\'':
good = abs(-hit.get('energy') / hit.get('pz') -
value) < __float_tol
elif key == 'ct\'':
good = abs(-hit.get('energy') / hit.get('pz') -
value) < __float_tol
elif key == 'r\'':
good = abs(hit.get('pt') / hit.get('pz') -
value) < __float_tol
elif key == 'spin':
good = abs(
math.sqrt(
hit.get('sx')**2 + hit.get('sy')**2 +
hit.get('sz')**2) - value) < __float_tol
elif key == 'ct':
good = abs(
hit.get('t') * Common.constants['c_light'] -
value) < __float_tol
elif key == '':
good = value == None
elif key == 'weight':
good = abs(
hit.get('local_weight') * hit.get('global_weight') -
value) < __float_tol
elif key == 'z\'':
good = abs(1. - value) < __float_tol #dz/dz is always 1!
elif key == 'r_squared':
good = abs(hit['x'] * hit['x'] + hit['y'] * hit['y'] -
value) < __float_tol
elif key == 'l_kin':
good = abs(hit['x'] * hit['py'] - hit['y'] * hit['px'] -
value) < __float_tol
elif key == 'kinetic_energy':
good = abs(hit['energy'] - hit['mass'] -
value) < __float_tol
elif key == 'global_weight':
if hit.get('eventNumber') in Hit._Hit__global_weights_dict:
good = abs(Hit._Hit__global_weights_dict[hit.get(
'eventNumber')] - value) < __float_tol
else:
good = abs(1. - value) < __float_tol
else:
print('warning: key ', key, ' not tested')
if not good: print('Get test failed with', key, value)
except ZeroDivisionError:
good = True
test_pass = test_pass and good
if test_pass: return 'pass'
return 'fail'
