pymc3/step_methods/arraystep.py
Killed 42 out of 75 mutantsSurvived
Survived mutation testing. These mutants show holes in your test suite.Mutant 226
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -23,8 +23,6 @@
__all__ = [
'ArrayStep', 'ArrayStepShared', 'metrop_select', 'Competence']
-
-@unique
class Competence(IntEnum):
"""Enum for charaterizing competence classes of step methods.
Values include:
Mutant 233
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -36,7 +36,7 @@
INCOMPATIBLE = 0
COMPATIBLE = 1
PREFERRED = 2
- IDEAL = 3
+ IDEAL = 4
class BlockedStep:
Mutant 235
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -41,7 +41,7 @@
class BlockedStep:
- generates_stats = False
+ generates_stats = True
def __new__(cls, *args, **kwargs):
blocked = kwargs.get('blocked')
Mutant 236
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -41,7 +41,7 @@
class BlockedStep:
- generates_stats = False
+ generates_stats = None
def __new__(cls, *args, **kwargs):
blocked = kwargs.get('blocked')
Mutant 237
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -44,7 +44,7 @@
generates_stats = False
def __new__(cls, *args, **kwargs):
- blocked = kwargs.get('blocked')
+ blocked = kwargs.get('XXblockedXX')
if blocked is None:
# Try to look up default value from class
blocked = getattr(cls, 'default_blocked', True)
Mutant 238
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -44,7 +44,7 @@
generates_stats = False
def __new__(cls, *args, **kwargs):
- blocked = kwargs.get('blocked')
+ blocked = None
if blocked is None:
# Try to look up default value from class
blocked = getattr(cls, 'default_blocked', True)
Mutant 239
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -45,7 +45,7 @@
def __new__(cls, *args, **kwargs):
blocked = kwargs.get('blocked')
- if blocked is None:
+ if blocked is not None:
# Try to look up default value from class
blocked = getattr(cls, 'default_blocked', True)
kwargs['blocked'] = blocked
Mutant 240
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -47,7 +47,7 @@
blocked = kwargs.get('blocked')
if blocked is None:
# Try to look up default value from class
- blocked = getattr(cls, 'default_blocked', True)
+ blocked = getattr(cls, 'XXdefault_blockedXX', True)
kwargs['blocked'] = blocked
model = modelcontext(kwargs.get('model'))
Mutant 241
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -47,7 +47,7 @@
blocked = kwargs.get('blocked')
if blocked is None:
# Try to look up default value from class
- blocked = getattr(cls, 'default_blocked', True)
+ blocked = getattr(cls, 'default_blocked', False)
kwargs['blocked'] = blocked
model = modelcontext(kwargs.get('model'))
Mutant 242
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -47,7 +47,7 @@
blocked = kwargs.get('blocked')
if blocked is None:
# Try to look up default value from class
- blocked = getattr(cls, 'default_blocked', True)
+ blocked = None
kwargs['blocked'] = blocked
model = modelcontext(kwargs.get('model'))
Mutant 243
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -48,7 +48,7 @@
if blocked is None:
# Try to look up default value from class
blocked = getattr(cls, 'default_blocked', True)
- kwargs['blocked'] = blocked
+ kwargs['XXblockedXX'] = blocked
model = modelcontext(kwargs.get('model'))
kwargs.update({'model':model})
Mutant 244
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -48,7 +48,7 @@
if blocked is None:
# Try to look up default value from class
blocked = getattr(cls, 'default_blocked', True)
- kwargs['blocked'] = blocked
+ kwargs['blocked'] = None
model = modelcontext(kwargs.get('model'))
kwargs.update({'model':model})
Mutant 245
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -50,7 +50,7 @@
blocked = getattr(cls, 'default_blocked', True)
kwargs['blocked'] = blocked
- model = modelcontext(kwargs.get('model'))
+ model = modelcontext(kwargs.get('XXmodelXX'))
kwargs.update({'model':model})
# vars can either be first arg or a kwarg
Mutant 247
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -51,7 +51,7 @@
kwargs['blocked'] = blocked
model = modelcontext(kwargs.get('model'))
- kwargs.update({'model':model})
+ kwargs.update({'XXmodelXX':model})
# vars can either be first arg or a kwarg
if 'vars' not in kwargs and len(args) >= 1:
Mutant 248
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -54,7 +54,7 @@
kwargs.update({'model':model})
# vars can either be first arg or a kwarg
- if 'vars' not in kwargs and len(args) >= 1:
+ if 'XXvarsXX' not in kwargs and len(args) >= 1:
vars = args[0]
args = args[1:]
elif 'vars' in kwargs:
Mutant 249
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -54,7 +54,7 @@
kwargs.update({'model':model})
# vars can either be first arg or a kwarg
- if 'vars' not in kwargs and len(args) >= 1:
+ if 'vars' in kwargs and len(args) >= 1:
vars = args[0]
args = args[1:]
elif 'vars' in kwargs:
Mutant 250
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -54,7 +54,7 @@
kwargs.update({'model':model})
# vars can either be first arg or a kwarg
- if 'vars' not in kwargs and len(args) >= 1:
+ if 'vars' not in kwargs and len(args) > 1:
vars = args[0]
args = args[1:]
elif 'vars' in kwargs:
Mutant 251
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -54,7 +54,7 @@
kwargs.update({'model':model})
# vars can either be first arg or a kwarg
- if 'vars' not in kwargs and len(args) >= 1:
+ if 'vars' not in kwargs and len(args) >= 2:
vars = args[0]
args = args[1:]
elif 'vars' in kwargs:
Mutant 253
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -57,7 +57,7 @@
if 'vars' not in kwargs and len(args) >= 1:
vars = args[0]
args = args[1:]
- elif 'vars' in kwargs:
+ elif 'XXvarsXX' in kwargs:
vars = kwargs.pop('vars')
else: # Assume all model variables
vars = model.vars
Mutant 259
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -68,7 +68,7 @@
if len(vars) == 0:
raise ValueError('No free random variables to sample.')
- if not blocked and len(vars) > 1:
+ if blocked and len(vars) > 1:
# In this case we create a separate sampler for each var
# and append them to a CompoundStep
steps = []
Mutant 261
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -68,7 +68,7 @@
if len(vars) == 0:
raise ValueError('No free random variables to sample.')
- if not blocked and len(vars) > 1:
+ if not blocked and len(vars) > 2:
# In this case we create a separate sampler for each var
# and append them to a CompoundStep
steps = []
Mutant 265
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -85,7 +85,7 @@
else:
step = super().__new__(cls)
# Hack for creating the class correctly when unpickling.
- step.__newargs = (vars, ) + args, kwargs
+ step.__newargs = None
return step
# Hack for creating the class correctly when unpickling.
Mutant 266
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -92,7 +92,6 @@
def __getnewargs_ex__(self):
return self.__newargs
- @staticmethod
def competence(var, has_grad):
return Competence.INCOMPATIBLE
Mutant 267
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -96,7 +96,6 @@
def competence(var, has_grad):
return Competence.INCOMPATIBLE
- @classmethod
def _competence(cls, vars, have_grad):
vars = np.atleast_1d(vars)
have_grad = np.atleast_1d(have_grad)
Mutant 275
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -119,7 +119,7 @@
def stop_tuning(self):
if hasattr(self, 'tune'):
- self.tune = False
+ self.tune = None
class ArrayStep(BlockedStep):
Mutant 276
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -135,7 +135,7 @@
blocked: Boolean (default True)
"""
- def __init__(self, vars, fs, allvars=False, blocked=True):
+ def __init__(self, vars, fs, allvars=True, blocked=True):
self.vars = vars
self.ordering = ArrayOrdering(vars)
self.fs = fs
Mutant 277
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -135,7 +135,7 @@
blocked: Boolean (default True)
"""
- def __init__(self, vars, fs, allvars=False, blocked=True):
+ def __init__(self, vars, fs, allvars=False, blocked=False):
self.vars = vars
self.ordering = ArrayOrdering(vars)
self.fs = fs
Mutant 278
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -165,7 +165,7 @@
and unmapping overhead as well as moving fewer variables around.
"""
- def __init__(self, vars, shared, blocked=True):
+ def __init__(self, vars, shared, blocked=False):
"""
Parameters
----------
Mutant 282
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -176,7 +176,7 @@
self.vars = vars
self.ordering = ArrayOrdering(vars)
self.shared = {str(var): shared for var, shared in shared.items()}
- self.blocked = blocked
+ self.blocked = None
self.bij = None
def step(self, point):
Mutant 283
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -177,7 +177,7 @@
self.ordering = ArrayOrdering(vars)
self.shared = {str(var): shared for var, shared in shared.items()}
self.blocked = blocked
- self.bij = None
+ self.bij = ""
def step(self, point):
for var, share in self.shared.items():
Mutant 286
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -200,7 +200,7 @@
Works by linking a list of Points that is updated as the chains are iterated.
"""
- def __init__(self, vars, shared, blocked=True):
+ def __init__(self, vars, shared, blocked=False):
"""
Parameters
----------
Mutant 289
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -238,7 +238,7 @@
dtype=None, **theano_kwargs):
model = modelcontext(model)
self.vars = vars
- self.blocked = blocked
+ self.blocked = None
func = model.logp_dlogp_function(
vars, dtype=dtype, **theano_kwargs)
Mutant 297
--- pymc3/step_methods/arraystep.py
+++ pymc3/step_methods/arraystep.py
@@ -287,7 +287,7 @@
q or q0
"""
# Compare acceptance ratio to uniform random number
- if np.isfinite(mr) and np.log(uniform()) < mr:
+ if np.isfinite(mr) and np.log(uniform()) <= mr:
return q, True
else:
return q0, False