pymc3/step_methods/metropolis.py
Killed 59 out of 147 mutantsSurvived
Survived mutation testing. These mutants show holes in your test suite.Mutant 81
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -67,7 +67,7 @@
if n != m:
raise ValueError("Covariance matrix is not symmetric.")
self.n = n
- self.chol = scipy.linalg.cholesky(s, lower=True)
+ self.chol = scipy.linalg.cholesky(s, lower=False)
def __call__(self, num_draws=None):
if num_draws is not None:
Mutant 85
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -102,7 +102,7 @@
mode : string or `Mode` instance.
compilation mode passed to Theano functions
"""
- name = 'metropolis'
+ name = 'XXmetropolisXX'
default_blocked = False
generates_stats = True
Mutant 86
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -102,7 +102,7 @@
mode : string or `Mode` instance.
compilation mode passed to Theano functions
"""
- name = 'metropolis'
+ name = None
default_blocked = False
generates_stats = True
Mutant 87
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -104,7 +104,7 @@
"""
name = 'metropolis'
- default_blocked = False
+ default_blocked = True
generates_stats = True
stats_dtypes = [{
'accept': np.float64,
Mutant 88
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -104,7 +104,7 @@
"""
name = 'metropolis'
- default_blocked = False
+ default_blocked = None
generates_stats = True
stats_dtypes = [{
'accept': np.float64,
Mutant 89
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -105,7 +105,7 @@
name = 'metropolis'
default_blocked = False
- generates_stats = True
+ generates_stats = False
stats_dtypes = [{
'accept': np.float64,
'accepted': np.bool,
Mutant 90
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -105,7 +105,7 @@
name = 'metropolis'
default_blocked = False
- generates_stats = True
+ generates_stats = None
stats_dtypes = [{
'accept': np.float64,
'accepted': np.bool,
Mutant 95
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -114,7 +114,7 @@
}]
def __init__(self, vars=None, S=None, proposal_dist=None, scaling=1.,
- tune=True, tune_interval=100, model=None, mode=None, **kwargs):
+ tune=False, tune_interval=100, model=None, mode=None, **kwargs):
model = pm.modelcontext(model)
Mutant 96
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -114,7 +114,7 @@
}]
def __init__(self, vars=None, S=None, proposal_dist=None, scaling=1.,
- tune=True, tune_interval=100, model=None, mode=None, **kwargs):
+ tune=True, tune_interval=101, model=None, mode=None, **kwargs):
model = pm.modelcontext(model)
Mutant 109
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -135,7 +135,7 @@
raise ValueError("Invalid rank for variance: %s" % S.ndim)
self.scaling = np.atleast_1d(scaling).astype('d')
- self.tune = tune
+ self.tune = None
self.tune_interval = tune_interval
self.steps_until_tune = tune_interval
self.accepted = 0
Mutant 111
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -137,7 +137,7 @@
self.scaling = np.atleast_1d(scaling).astype('d')
self.tune = tune
self.tune_interval = tune_interval
- self.steps_until_tune = tune_interval
+ self.steps_until_tune = None
self.accepted = 0
# Determine type of variables
Mutant 112
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -138,7 +138,7 @@
self.tune = tune
self.tune_interval = tune_interval
self.steps_until_tune = tune_interval
- self.accepted = 0
+ self.accepted = 1
# Determine type of variables
self.discrete = np.concatenate(
Mutant 116
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -142,7 +142,7 @@
# Determine type of variables
self.discrete = np.concatenate(
- [[v.dtype in pm.discrete_types] * (v.dsize or 1) for v in vars])
+ [[v.dtype in pm.discrete_types] * (v.dsize or 2) for v in vars])
self.any_discrete = self.discrete.any()
self.all_discrete = self.discrete.all()
Mutant 117
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -142,7 +142,7 @@
# Determine type of variables
self.discrete = np.concatenate(
- [[v.dtype in pm.discrete_types] * (v.dsize or 1) for v in vars])
+ [[v.dtype in pm.discrete_types] * (v.dsize and 1) for v in vars])
self.any_discrete = self.discrete.any()
self.all_discrete = self.discrete.all()
Mutant 119
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -143,7 +143,7 @@
# Determine type of variables
self.discrete = np.concatenate(
[[v.dtype in pm.discrete_types] * (v.dsize or 1) for v in vars])
- self.any_discrete = self.discrete.any()
+ self.any_discrete = None
self.all_discrete = self.discrete.all()
# remember initial settings before tuning so they can be reset
Mutant 120
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -144,7 +144,7 @@
self.discrete = np.concatenate(
[[v.dtype in pm.discrete_types] * (v.dsize or 1) for v in vars])
self.any_discrete = self.discrete.any()
- self.all_discrete = self.discrete.all()
+ self.all_discrete = None
# remember initial settings before tuning so they can be reset
self._untuned_settings = dict(
Mutant 121
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -148,7 +148,7 @@
# remember initial settings before tuning so they can be reset
self._untuned_settings = dict(
- scaling=self.scaling,
+ scalingXX=self.scaling,
steps_until_tune=tune_interval,
accepted=self.accepted
)
Mutant 123
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -150,7 +150,7 @@
self._untuned_settings = dict(
scaling=self.scaling,
steps_until_tune=tune_interval,
- accepted=self.accepted
+ acceptedXX=self.accepted
)
self.mode = mode
Mutant 124
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -153,7 +153,7 @@
accepted=self.accepted
)
- self.mode = mode
+ self.mode = None
shared = pm.make_shared_replacements(vars, model)
self.delta_logp = delta_logp(model.logpt, vars, shared)
Mutant 127
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -166,7 +166,7 @@
return
def astep(self, q0):
- if not self.steps_until_tune and self.tune:
+ if self.steps_until_tune and self.tune:
# Tune scaling parameter
self.scaling = tune(
self.scaling, self.accepted / float(self.tune_interval))
Mutant 128
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -166,7 +166,7 @@
return
def astep(self, q0):
- if not self.steps_until_tune and self.tune:
+ if not self.steps_until_tune or self.tune:
# Tune scaling parameter
self.scaling = tune(
self.scaling, self.accepted / float(self.tune_interval))
Mutant 132
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -172,7 +172,7 @@
self.scaling, self.accepted / float(self.tune_interval))
# Reset counter
self.steps_until_tune = self.tune_interval
- self.accepted = 0
+ self.accepted = 1
delta = self.proposal_dist() * self.scaling
Mutant 136
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -186,7 +186,7 @@
delta[self.discrete], 0)
q = (q0 + delta)
else:
- q = floatX(q0 + delta)
+ q = floatX(q0 - delta)
accept = self.delta_logp(q, q0)
q_new, accepted = metrop_select(accept, q, q0)
Mutant 149
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -203,7 +203,6 @@
return q_new, [stats]
- @staticmethod
def competence(var, has_grad):
return Competence.COMPATIBLE
Mutant 150
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -223,7 +223,7 @@
>0.95 x 10
"""
- if acc_rate < 0.001:
+ if acc_rate <= 0.001:
# reduce by 90 percent
return scale * 0.1
elif acc_rate < 0.05:
Mutant 152
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -226,7 +226,7 @@
if acc_rate < 0.001:
# reduce by 90 percent
return scale * 0.1
- elif acc_rate < 0.05:
+ elif acc_rate <= 0.05:
# reduce by 50 percent
return scale * 0.5
elif acc_rate < 0.2:
Mutant 154
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -229,7 +229,7 @@
elif acc_rate < 0.05:
# reduce by 50 percent
return scale * 0.5
- elif acc_rate < 0.2:
+ elif acc_rate <= 0.2:
# reduce by ten percent
return scale * 0.9
elif acc_rate > 0.95:
Mutant 156
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -232,7 +232,7 @@
elif acc_rate < 0.2:
# reduce by ten percent
return scale * 0.9
- elif acc_rate > 0.95:
+ elif acc_rate >= 0.95:
# increase by factor of ten
return scale * 10.0
elif acc_rate > 0.75:
Mutant 157
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -232,7 +232,7 @@
elif acc_rate < 0.2:
# reduce by ten percent
return scale * 0.9
- elif acc_rate > 0.95:
+ elif acc_rate > 1.95:
# increase by factor of ten
return scale * 10.0
elif acc_rate > 0.75:
Mutant 158
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -235,7 +235,7 @@
elif acc_rate > 0.95:
# increase by factor of ten
return scale * 10.0
- elif acc_rate > 0.75:
+ elif acc_rate >= 0.75:
# increase by double
return scale * 2.0
elif acc_rate > 0.5:
Mutant 159
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -235,7 +235,7 @@
elif acc_rate > 0.95:
# increase by factor of ten
return scale * 10.0
- elif acc_rate > 0.75:
+ elif acc_rate > 1.75:
# increase by double
return scale * 2.0
elif acc_rate > 0.5:
Mutant 160
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -237,7 +237,7 @@
return scale * 10.0
elif acc_rate > 0.75:
# increase by double
- return scale * 2.0
+ return scale / 2.0
elif acc_rate > 0.5:
# increase by ten percent
return scale * 1.1
Mutant 161
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -237,7 +237,7 @@
return scale * 10.0
elif acc_rate > 0.75:
# increase by double
- return scale * 2.0
+ return scale * 3.0
elif acc_rate > 0.5:
# increase by ten percent
return scale * 1.1
Mutant 162
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -238,7 +238,7 @@
elif acc_rate > 0.75:
# increase by double
return scale * 2.0
- elif acc_rate > 0.5:
+ elif acc_rate >= 0.5:
# increase by ten percent
return scale * 1.1
Mutant 163
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -238,7 +238,7 @@
elif acc_rate > 0.75:
# increase by double
return scale * 2.0
- elif acc_rate > 0.5:
+ elif acc_rate > 1.5:
# increase by ten percent
return scale * 1.1
Mutant 165
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -240,7 +240,7 @@
return scale * 2.0
elif acc_rate > 0.5:
# increase by ten percent
- return scale * 1.1
+ return scale * 2.1
return scale
Mutant 166
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -262,7 +262,7 @@
Optional model for sampling step. Defaults to None (taken from context).
"""
- name = 'binary_metropolis'
+ name = 'XXbinary_metropolisXX'
generates_stats = True
stats_dtypes = [{
Mutant 167
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -262,7 +262,7 @@
Optional model for sampling step. Defaults to None (taken from context).
"""
- name = 'binary_metropolis'
+ name = None
generates_stats = True
stats_dtypes = [{
Mutant 168
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -264,7 +264,7 @@
"""
name = 'binary_metropolis'
- generates_stats = True
+ generates_stats = False
stats_dtypes = [{
'accept': np.float64,
'tune': np.bool,
Mutant 169
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -264,7 +264,7 @@
"""
name = 'binary_metropolis'
- generates_stats = True
+ generates_stats = None
stats_dtypes = [{
'accept': np.float64,
'tune': np.bool,
Mutant 170
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -266,7 +266,7 @@
generates_stats = True
stats_dtypes = [{
- 'accept': np.float64,
+ 'XXacceptXX': np.float64,
'tune': np.bool,
'p_jump': np.float64,
}]
Mutant 171
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -267,7 +267,7 @@
generates_stats = True
stats_dtypes = [{
'accept': np.float64,
- 'tune': np.bool,
+ 'XXtuneXX': np.bool,
'p_jump': np.float64,
}]
Mutant 172
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -268,7 +268,7 @@
stats_dtypes = [{
'accept': np.float64,
'tune': np.bool,
- 'p_jump': np.float64,
+ 'XXp_jumpXX': np.float64,
}]
def __init__(self, vars, scaling=1., tune=True, tune_interval=100, model=None):
Mutant 173
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -271,7 +271,7 @@
'p_jump': np.float64,
}]
- def __init__(self, vars, scaling=1., tune=True, tune_interval=100, model=None):
+ def __init__(self, vars, scaling=2.0, tune=True, tune_interval=100, model=None):
model = pm.modelcontext(model)
Mutant 174
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -271,7 +271,7 @@
'p_jump': np.float64,
}]
- def __init__(self, vars, scaling=1., tune=True, tune_interval=100, model=None):
+ def __init__(self, vars, scaling=1., tune=False, tune_interval=100, model=None):
model = pm.modelcontext(model)
Mutant 175
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -271,7 +271,7 @@
'p_jump': np.float64,
}]
- def __init__(self, vars, scaling=1., tune=True, tune_interval=100, model=None):
+ def __init__(self, vars, scaling=1., tune=True, tune_interval=101, model=None):
model = pm.modelcontext(model)
Mutant 176
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -310,7 +310,6 @@
return q_new, [stats]
- @staticmethod
def competence(var):
'''
BinaryMetropolis is only suitable for binary (bool)
Mutant 177
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -342,7 +342,7 @@
Optional model for sampling step. Defaults to None (taken from context).
"""
- name = 'binary_gibbs_metropolis'
+ name = 'XXbinary_gibbs_metropolisXX'
def __init__(self, vars, order='random', transit_p=.8, model=None):
Mutant 178
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -342,7 +342,7 @@
Optional model for sampling step. Defaults to None (taken from context).
"""
- name = 'binary_gibbs_metropolis'
+ name = None
def __init__(self, vars, order='random', transit_p=.8, model=None):
Mutant 179
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -344,7 +344,7 @@
"""
name = 'binary_gibbs_metropolis'
- def __init__(self, vars, order='random', transit_p=.8, model=None):
+ def __init__(self, vars, order='XXrandomXX', transit_p=.8, model=None):
model = pm.modelcontext(model)
Mutant 180
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -344,7 +344,7 @@
"""
name = 'binary_gibbs_metropolis'
- def __init__(self, vars, order='random', transit_p=.8, model=None):
+ def __init__(self, vars, order='random', transit_p=1.8, model=None):
model = pm.modelcontext(model)
Mutant 181
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -388,7 +388,6 @@
return q
- @staticmethod
def competence(var):
'''
BinaryMetropolis is only suitable for Bernoulli
Mutant 182
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -411,7 +411,7 @@
which was introduced by Liu in his 1996 technical report
"Metropolized Gibbs Sampler: An Improvement".
"""
- name = 'categorical_gibbs_metropolis'
+ name = 'XXcategorical_gibbs_metropolisXX'
def __init__(self, vars, proposal='uniform', order='random', model=None):
Mutant 183
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -411,7 +411,7 @@
which was introduced by Liu in his 1996 technical report
"Metropolized Gibbs Sampler: An Improvement".
"""
- name = 'categorical_gibbs_metropolis'
+ name = None
def __init__(self, vars, proposal='uniform', order='random', model=None):
Mutant 184
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -413,7 +413,7 @@
"""
name = 'categorical_gibbs_metropolis'
- def __init__(self, vars, proposal='uniform', order='random', model=None):
+ def __init__(self, vars, proposal='XXuniformXX', order='random', model=None):
model = pm.modelcontext(model)
vars = pm.inputvars(vars)
Mutant 185
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -413,7 +413,7 @@
"""
name = 'categorical_gibbs_metropolis'
- def __init__(self, vars, proposal='uniform', order='random', model=None):
+ def __init__(self, vars, proposal='uniform', order='XXrandomXX', model=None):
model = pm.modelcontext(model)
vars = pm.inputvars(vars)
Mutant 186
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -504,7 +504,6 @@
q[dim] = proposed_cat
return log_probs[proposed_cat]
- @staticmethod
def competence(var):
'''
CategoricalGibbsMetropolis is only suitable for Bernoulli and
Mutant 187
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -555,7 +555,7 @@
Statistics and Computing
`link `__
"""
- name = 'DEMetropolis'
+ name = 'XXDEMetropolisXX'
default_blocked = True
generates_stats = True
Mutant 188
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -555,7 +555,7 @@
Statistics and Computing
`link `__
"""
- name = 'DEMetropolis'
+ name = None
default_blocked = True
generates_stats = True
Mutant 189
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -557,7 +557,7 @@
"""
name = 'DEMetropolis'
- default_blocked = True
+ default_blocked = False
generates_stats = True
stats_dtypes = [{
'accept': np.float64,
Mutant 190
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -557,7 +557,7 @@
"""
name = 'DEMetropolis'
- default_blocked = True
+ default_blocked = None
generates_stats = True
stats_dtypes = [{
'accept': np.float64,
Mutant 191
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -558,7 +558,7 @@
name = 'DEMetropolis'
default_blocked = True
- generates_stats = True
+ generates_stats = False
stats_dtypes = [{
'accept': np.float64,
'accepted': np.bool,
Mutant 192
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -558,7 +558,7 @@
name = 'DEMetropolis'
default_blocked = True
- generates_stats = True
+ generates_stats = None
stats_dtypes = [{
'accept': np.float64,
'accepted': np.bool,
Mutant 193
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -560,7 +560,7 @@
default_blocked = True
generates_stats = True
stats_dtypes = [{
- 'accept': np.float64,
+ 'XXacceptXX': np.float64,
'accepted': np.bool,
'tune': np.bool,
'scaling': np.float64,
Mutant 194
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -561,7 +561,7 @@
generates_stats = True
stats_dtypes = [{
'accept': np.float64,
- 'accepted': np.bool,
+ 'XXacceptedXX': np.bool,
'tune': np.bool,
'scaling': np.float64,
'lambda': np.float64,
Mutant 195
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -562,7 +562,7 @@
stats_dtypes = [{
'accept': np.float64,
'accepted': np.bool,
- 'tune': np.bool,
+ 'XXtuneXX': np.bool,
'scaling': np.float64,
'lambda': np.float64,
}]
Mutant 196
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -563,7 +563,7 @@
'accept': np.float64,
'accepted': np.bool,
'tune': np.bool,
- 'scaling': np.float64,
+ 'XXscalingXX': np.float64,
'lambda': np.float64,
}]
Mutant 197
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -564,7 +564,7 @@
'accepted': np.bool,
'tune': np.bool,
'scaling': np.float64,
- 'lambda': np.float64,
+ 'XXlambdaXX': np.float64,
}]
def __init__(self, vars=None, S=None, proposal_dist=None, lamb=None, scaling=0.001,
Mutant 198
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -568,7 +568,7 @@
}]
def __init__(self, vars=None, S=None, proposal_dist=None, lamb=None, scaling=0.001,
- tune=None, tune_interval=100, model=None, mode=None, **kwargs):
+ tune=None, tune_interval=101, model=None, mode=None, **kwargs):
model = pm.modelcontext(model)
Mutant 199
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -638,7 +638,6 @@
return q_new, [stats]
- @staticmethod
def competence(var, has_grad):
if var.dtype in pm.discrete_types:
return Competence.INCOMPATIBLE
Mutant 200
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -682,7 +682,7 @@
Statistics and Computing
`link `__
"""
- name = 'DEMetropolisZ'
+ name = 'XXDEMetropolisZXX'
default_blocked = True
generates_stats = True
Mutant 201
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -682,7 +682,7 @@
Statistics and Computing
`link `__
"""
- name = 'DEMetropolisZ'
+ name = None
default_blocked = True
generates_stats = True
Mutant 202
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -684,7 +684,7 @@
"""
name = 'DEMetropolisZ'
- default_blocked = True
+ default_blocked = False
generates_stats = True
stats_dtypes = [{
'accept': np.float64,
Mutant 203
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -684,7 +684,7 @@
"""
name = 'DEMetropolisZ'
- default_blocked = True
+ default_blocked = None
generates_stats = True
stats_dtypes = [{
'accept': np.float64,
Mutant 204
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -685,7 +685,7 @@
name = 'DEMetropolisZ'
default_blocked = True
- generates_stats = True
+ generates_stats = False
stats_dtypes = [{
'accept': np.float64,
'accepted': np.bool,
Mutant 205
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -685,7 +685,7 @@
name = 'DEMetropolisZ'
default_blocked = True
- generates_stats = True
+ generates_stats = None
stats_dtypes = [{
'accept': np.float64,
'accepted': np.bool,
Mutant 206
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -687,7 +687,7 @@
default_blocked = True
generates_stats = True
stats_dtypes = [{
- 'accept': np.float64,
+ 'XXacceptXX': np.float64,
'accepted': np.bool,
'tune': np.bool,
'scaling': np.float64,
Mutant 207
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -688,7 +688,7 @@
generates_stats = True
stats_dtypes = [{
'accept': np.float64,
- 'accepted': np.bool,
+ 'XXacceptedXX': np.bool,
'tune': np.bool,
'scaling': np.float64,
'lambda': np.float64,
Mutant 208
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -689,7 +689,7 @@
stats_dtypes = [{
'accept': np.float64,
'accepted': np.bool,
- 'tune': np.bool,
+ 'XXtuneXX': np.bool,
'scaling': np.float64,
'lambda': np.float64,
}]
Mutant 209
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -690,7 +690,7 @@
'accept': np.float64,
'accepted': np.bool,
'tune': np.bool,
- 'scaling': np.float64,
+ 'XXscalingXX': np.float64,
'lambda': np.float64,
}]
Mutant 210
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -691,7 +691,7 @@
'accepted': np.bool,
'tune': np.bool,
'scaling': np.float64,
- 'lambda': np.float64,
+ 'XXlambdaXX': np.float64,
}]
def __init__(self, vars=None, S=None, proposal_dist=None, lamb=None, scaling=0.001,
Mutant 211
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -695,7 +695,7 @@
}]
def __init__(self, vars=None, S=None, proposal_dist=None, lamb=None, scaling=0.001,
- tune='lambda', tune_interval=100, tune_drop_fraction:float=0.9, model=None, mode=None, **kwargs):
+ tune='XXlambdaXX', tune_interval=100, tune_drop_fraction:float=0.9, model=None, mode=None, **kwargs):
warnings.warn(
'The DEMetropolisZ implementation in PyMC3 is very young. You should be extra critical about its results.'
Mutant 212
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -695,7 +695,7 @@
}]
def __init__(self, vars=None, S=None, proposal_dist=None, lamb=None, scaling=0.001,
- tune='lambda', tune_interval=100, tune_drop_fraction:float=0.9, model=None, mode=None, **kwargs):
+ tune='lambda', tune_interval=101, tune_drop_fraction:float=0.9, model=None, mode=None, **kwargs):
warnings.warn(
'The DEMetropolisZ implementation in PyMC3 is very young. You should be extra critical about its results.'
Mutant 213
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -695,7 +695,7 @@
}]
def __init__(self, vars=None, S=None, proposal_dist=None, lamb=None, scaling=0.001,
- tune='lambda', tune_interval=100, tune_drop_fraction:float=0.9, model=None, mode=None, **kwargs):
+ tune='lambda', tune_interval=100, tune_drop_fraction:float=1.9, model=None, mode=None, **kwargs):
warnings.warn(
'The DEMetropolisZ implementation in PyMC3 is very young. You should be extra critical about its results.'
Mutant 214
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -811,7 +811,6 @@
self._history = self._history[n_drop:]
return super().stop_tuning()
- @staticmethod
def competence(var, has_grad):
if var.dtype in pm.discrete_types:
return Competence.INCOMPATIBLE
Mutant 217
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -834,7 +834,7 @@
[logp0], inarray0 = pm.join_nonshared_inputs([logp], vars, shared)
tensor_type = inarray0.type
- inarray1 = tensor_type('inarray1')
+ inarray1 = tensor_type('XXinarray1XX')
logp1 = pm.CallableTensor(logp0)(inarray1)
Mutant 222
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -839,6 +839,6 @@
logp1 = pm.CallableTensor(logp0)(inarray1)
f = theano.function([inarray1, inarray0], logp1 - logp0)
- f.trust_input = True
+ f.trust_input = False
return f
Mutant 223
--- pymc3/step_methods/metropolis.py
+++ pymc3/step_methods/metropolis.py
@@ -839,6 +839,6 @@
logp1 = pm.CallableTensor(logp0)(inarray1)
f = theano.function([inarray1, inarray0], logp1 - logp0)
- f.trust_input = True
+ f.trust_input = None
return f