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174 lines (144 loc) · 6.92 KB
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# Licensed under a GNU general public license, see LICENSE.
"""
Author: Deepanshu Thakur
Date : Aug 21, 2017
"""
# -----------------------------------------------------------------------------
# Import statements
# -----------------------------------------------------------------------------
import unittest
import random
import math
import HydraPython as hypy
def functor(*four_vector):
p1 = four_vector[0]
p2 = four_vector[1]
p3 = four_vector[2]
p = p1 + p2 + p3
q = p2 + p3
pd = p * p2
pq = p * q
qd = q * p2
mp2 = p.mass2()
mq2 = q.mass2()
md2 = p2.mass2()
return (pd * mq2 - pq * qd) / math.sqrt((pq * pq - mq2 * mp2) * (qd * qd - mq2 * md2))
def random_floats(low, high, size):
return [random.uniform(low, high) for _ in range(size)]
# -----------------------------------------------------------------------------
# Actual tests
# -----------------------------------------------------------------------------
class TestPhaseSpace(unittest.TestCase):
"""
TestPhaseSpace test class, which tests all the methods available in PhaseSpace class.
"""
def check_tuple(self, a, b):
for i, j in zip(a, b):
if isinstance(i, (list, tuple)):
self.check_tuple(i, j)
else:
self.assertAlmostEqual(i, j)
def check_equals(self, event1, tup):
self.assertEqual(event1.GetNEvents(), len(tup))
for first, second in zip(event1.Events(), tup):
self.check_tuple(first, second)
def test_default_constructor(self):
float_list = [1.1, 1.2, 0.242, 0.8385977]
ps = hypy.PhaseSpace4(float_list)
self.assertIsInstance(ps, hypy.PhaseSpace4, 'Failure: Not an instance of PhaseSpace_4')
def test_N_PhaseSpace(self):
ps1 = hypy.PhaseSpace1(random_floats(0.1, 2.2, 1))
ps2 = hypy.PhaseSpace2(random_floats(0.1, 2.2, 2))
ps3 = hypy.PhaseSpace3(random_floats(0.1, 2.2, 3))
ps4 = hypy.PhaseSpace4(random_floats(0.1, 2.2, 4))
ps5 = hypy.PhaseSpace5(random_floats(0.1, 2.2, 5))
ps6 = hypy.PhaseSpace6(random_floats(0.1, 2.2, 6))
ps7 = hypy.PhaseSpace7(random_floats(0.1, 2.2, 7))
ps8 = hypy.PhaseSpace8(random_floats(0.1, 2.2, 8))
ps9 = hypy.PhaseSpace9(random_floats(0.1, 2.2, 9))
ps10 = hypy.PhaseSpace10(random_floats(0.1, 2.2, 10))
self.assertIsInstance(ps1, hypy.PhaseSpace1, 'Failure: Not an instance of PhaseSpace1')
self.assertIsInstance(ps2, hypy.PhaseSpace2, 'Failure: Not an instance of PhaseSpace2')
self.assertIsInstance(ps3, hypy.PhaseSpace3, 'Failure: Not an instance of PhaseSpace3')
self.assertIsInstance(ps4, hypy.PhaseSpace4, 'Failure: Not an instance of PhaseSpace4')
self.assertIsInstance(ps5, hypy.PhaseSpace5, 'Failure: Not an instance of PhaseSpace5')
self.assertIsInstance(ps6, hypy.PhaseSpace6, 'Failure: Not an instance of PhaseSpace6')
self.assertIsInstance(ps7, hypy.PhaseSpace7, 'Failure: Not an instance of PhaseSpace7')
self.assertIsInstance(ps8, hypy.PhaseSpace8, 'Failure: Not an instance of PhaseSpace8')
self.assertIsInstance(ps9, hypy.PhaseSpace9, 'Failure: Not an instance of PhaseSpace9')
self.assertIsInstance(ps10, hypy.PhaseSpace10, 'Failure: Not an instance of PhaseSpace10')
def test_seed(self):
float_list = [1.1, 1.2, 0.242, 0.8385977]
ps = hypy.PhaseSpace4(float_list)
ps.SetSeed(123)
self.assertEqual(123, ps.GetSeed())
def test_generator_1(self):
vec4 = hypy.Vector4R(5.2795, 0.0, 0.0, 0.0)
phsp = hypy.PhaseSpace4([3.096916, 0.493677, 0.13957018, 0.0195018])
e_host = hypy.host_events_4(3)
phsp.GenerateOnhost(vec4, e_host)
tup = ((0.00050889380,
(3.313285880268, 0.981747490679, 0.005536704420, -0.650473537337),
(0.528272074985, 0.154894458053, 0.006307332616, -0.106406434487),
(0.209418530338, -0.152425202031, 0.024947630249, 0.022813575657),
(1.228523514408, -0.984216746700, -0.036791667286, 0.734066396167)),
(0.058617670787, (3.181438349277, -0.034345750002, 0.692455498149, 0.223577753225),
(0.595461244293, -0.018288616145, -0.053836704201, -0.328061349334),
(0.910711077543, 0.099545613220, -0.759288734814, -0.472743185766),
(0.591889328884, -0.046911247072, 0.120669940866, 0.577226781875)),
(0.037078448741, (3.436518049135, -0.543157507761, 1.201628372929, 0.692702509097),
(1.109001046733, 0.238844824859, -0.908952559761, -0.320818850861),
(0.551878708090, 0.310808628125, -0.378529831045, -0.212610999220),
(0.182102196040, -0.006495945222, 0.085854017877, -0.159272659014)))
self.check_equals(e_host, tup)
e_device = hypy.device_events_4(3)
phsp.GenerateOndevice(vec4, e_device)
self.check_equals(e_device, tup)
def test_generator_2(self):
nentries = 5
B0_mass = 5.27955
Jpsi_mass = 3.0969
K_mass = 0.493677
pi_mass = 0.13957061
mu_mass = 0.1056583745
B0 = hypy.Vector4R(B0_mass, 0.0, 0.0, 0.0)
masses1 = [Jpsi_mass, K_mass, pi_mass]
masses2 = [mu_mass, mu_mass]
phsp1 = hypy.PhaseSpace3(masses1)
phsp2 = hypy.PhaseSpace2(masses2)
daughters_d = hypy.host_events_3(nentries)
grand_daughters_d = hypy.host_events_2(nentries)
phsp1.GenerateOnhost(B0, daughters_d)
phsp2.GenerateOnhost(daughters_d.getDaughters(0), grand_daughters_d)
def test_average_on(self):
vec4 = hypy.Vector4R(5.2795, 0.0, 0.0, 0.0)
p = hypy.PhaseSpace4([3.096916, 0.493677, 0.13957018, 0.0195018])
tup1 = p.AverageOnhost(vec4, functor, 10)
tup2 = (-0.983049786694, 0.010451881904)
self.assertAlmostEqual(tup1[0], tup2[0])
self.assertAlmostEqual(tup1[1], tup2[1])
# Below will segfault due to GIL
# tup1 = p.AverageOndevice(vec4, foo, 10)
# tup2 = (-0.983049786694, 0.010451881904)
# self.assertAlmostEqual(tup1[0], tup2[0])
# self.assertAlmostEqual(tup1[1], tup2[1])
def test_evaluate(self):
b0_mass = 5.27955
jpsi_mass = 3.0969
k_mass = 0.493677
pi_mass = 0.13957061
b0 = hypy.Vector4R(b0_mass, 0.0, 0.0, 0.0)
masses = [jpsi_mass, k_mass, pi_mass]
phsp = hypy.PhaseSpace3(masses)
result = hypy.host_vector_float2(5)
phsp.EvaluateOnhost(b0, result, functor)
tup = ((0.004857093031, -0.999950534243),
(0.006868934284, -0.999842558622),
(0.011390565091, -0.999882127917),
(0.016108047503, -0.999560206432),
(0.020888558031, -0.999196543388))
for i in range(5):
self.assertAlmostEqual(tup[i][0], result[i][0])
self.assertAlmostEqual(tup[i][1], result[i][1])
if __name__ == '__main__':
unittest.main()