def mixed_weight_particle_list():
p_list = [
Particle({
'a': 1,
'b': 2
}, i, -.2) for i in np.arange(.1, .5, .1)
]
return p_list
def particle():
particle = Particle({'a': 1, 'b': 2}, 0.2, -0.2)
return particle
def when_wrong_weight_type(self):
bad_weight_type = 'bad'
return Particle(self.params, bad_weight_type, self.log_like)
def when_zero_log_like(self):
edge_case_log_like = 0.0
return Particle(self.params, self.log_weight, edge_case_log_like)
def when_pos_log_like(self):
pos_log_like = 0.1
return Particle(self.params, self.log_weight, pos_log_like)
def when_wrong_param_type(self):
bad_param_type = [1, 2]
return Particle(bad_param_type, self.log_weight, self.log_like)
def when_good_particle(self):
return Particle(self.params, self.log_weight, self.log_like)
def particle_list():
particle = Particle({'a': 1, 'b': 2}, 0.2, -0.2)
return 5 * [particle]
def linear_particle_list():
a = np.arange(0, 20)
b = [2 * val + np.random.normal(0, 1) for val in a]
w = 0.1
p_list = [Particle({'a': a[i], 'b': b[i]}, w, -.2) for i in a]
return p_list
def mixed_particle_list():
particle_1 = Particle({'a': 1, 'b': 2}, -0.2, -0.2)
particle_2 = Particle({'a': 2, 'b': 4}, -0.2, -0.2)
list_1 = [particle_1.copy() for i in range(3)]
list_2 = [particle_2.copy() for i in range(2)]
return list_1 + list_2
def particle_list():
particle = Particle({'a': 1, 'b': 2}, 0.2, -0.2)
return [particle.copy() for i in range(5)]