# Copyright (C) 2013 University College London
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#########################
from behave import given, when, then
from test_setup import register_type
register_type()
@given('a list of {n:Integer} random missed-events likelihoods with tau={tau:Float} ' \
'and nmax={nmax:Integer}')
def step(context, n, tau, nmax):
from dcprogs.likelihood.random import qmatrix as random_qmatrix
from dcprogs.likelihood import MissedEventsG
qmatrices, Gs, i = [], [], 10*n
while len(Gs) != n:
i -= 1
if i == 0: raise AssertionError('Could not instanciate enough likelihoods.')
qmatrix = random_qmatrix()
G = MissedEventsG(qmatrix, tau, nmax)
try: G = MissedEventsG(qmatrix, tau, nmax)
except: continue
else:
# Copyright (C) 2013 University College London
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#########################
from behave import when
from test_setup import register_type
register_type()
@when(
'ExactSurvirvor objects are instantiated with the q-matrices and tau={tau:Float}'
)
def steps(context, tau):
from dcprogs.likelihood import ExactSurvivor
if not hasattr(context, "exact_survivors"): context.exact_survivors = []
for i, qmatrix in enumerate(context.qmatrices):
if qmatrix is None:
context.exact_survivors.append(None)
continue
try:
context.exact_survivors.append(ExactSurvivor(qmatrix, tau))
except ArithmeticError:
