pymc3/step_methods/hmc/hmc.py

Survived

Mutant 635

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -23,7 +23,7 @@
 __all__ = ['HamiltonianMC']
 
 
-def unif(step_size, elow=.85, ehigh=1.15):
+def unif(step_size, elow=1.85, ehigh=1.15):
     return np.random.uniform(elow, ehigh) * step_size
 
 

Mutant 636

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -23,7 +23,7 @@
 __all__ = ['HamiltonianMC']
 
 
-def unif(step_size, elow=.85, ehigh=1.15):
+def unif(step_size, elow=.85, ehigh=2.15):
     return np.random.uniform(elow, ehigh) * step_size
 
 

Mutant 637

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -33,7 +33,7 @@
     See NUTS sampler for automatically tuned stopping time and step size scaling.
     """
 
-    name = 'hmc'
+    name = 'XXhmcXX'
     default_blocked = True
     generates_stats = True
     stats_dtypes = [{

Mutant 638

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -33,7 +33,7 @@
     See NUTS sampler for automatically tuned stopping time and step size scaling.
     """
 
-    name = 'hmc'
+    name = None
     default_blocked = True
     generates_stats = True
     stats_dtypes = [{

Mutant 639

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -34,7 +34,7 @@
     """
 
     name = 'hmc'
-    default_blocked = True
+    default_blocked = False
     generates_stats = True
     stats_dtypes = [{
         'step_size': np.float64,

Mutant 640

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -34,7 +34,7 @@
     """
 
     name = 'hmc'
-    default_blocked = True
+    default_blocked = None
     generates_stats = True
     stats_dtypes = [{
         'step_size': np.float64,

Mutant 641

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -35,7 +35,7 @@
 
     name = 'hmc'
     default_blocked = True
-    generates_stats = True
+    generates_stats = False
     stats_dtypes = [{
         'step_size': np.float64,
         'n_steps': np.int64,

Mutant 642

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -35,7 +35,7 @@
 
     name = 'hmc'
     default_blocked = True
-    generates_stats = True
+    generates_stats = None
     stats_dtypes = [{
         'step_size': np.float64,
         'n_steps': np.int64,

Mutant 643

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -37,7 +37,7 @@
     default_blocked = True
     generates_stats = True
     stats_dtypes = [{
-        'step_size': np.float64,
+        'XXstep_sizeXX': np.float64,
         'n_steps': np.int64,
         'tune': np.bool,
         'step_size_bar': np.float64,

Mutant 644

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -38,7 +38,7 @@
     generates_stats = True
     stats_dtypes = [{
         'step_size': np.float64,
-        'n_steps': np.int64,
+        'XXn_stepsXX': np.int64,
         'tune': np.bool,
         'step_size_bar': np.float64,
         'accept': np.float64,

Mutant 645

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -39,7 +39,7 @@
     stats_dtypes = [{
         'step_size': np.float64,
         'n_steps': np.int64,
-        'tune': np.bool,
+        'XXtuneXX': np.bool,
         'step_size_bar': np.float64,
         'accept': np.float64,
         'diverging': np.bool,

Mutant 646

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -40,7 +40,7 @@
         'step_size': np.float64,
         'n_steps': np.int64,
         'tune': np.bool,
-        'step_size_bar': np.float64,
+        'XXstep_size_barXX': np.float64,
         'accept': np.float64,
         'diverging': np.bool,
         'energy_error': np.float64,

Mutant 647

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -41,7 +41,7 @@
         'n_steps': np.int64,
         'tune': np.bool,
         'step_size_bar': np.float64,
-        'accept': np.float64,
+        'XXacceptXX': np.float64,
         'diverging': np.bool,
         'energy_error': np.float64,
         'energy': np.float64,

Mutant 648

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -42,7 +42,7 @@
         'tune': np.bool,
         'step_size_bar': np.float64,
         'accept': np.float64,
-        'diverging': np.bool,
+        'XXdivergingXX': np.bool,
         'energy_error': np.float64,
         'energy': np.float64,
         'path_length': np.float64,

Mutant 649

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -43,7 +43,7 @@
         'step_size_bar': np.float64,
         'accept': np.float64,
         'diverging': np.bool,
-        'energy_error': np.float64,
+        'XXenergy_errorXX': np.float64,
         'energy': np.float64,
         'path_length': np.float64,
         'accepted': np.bool,

Mutant 650

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -44,7 +44,7 @@
         'accept': np.float64,
         'diverging': np.bool,
         'energy_error': np.float64,
-        'energy': np.float64,
+        'XXenergyXX': np.float64,
         'path_length': np.float64,
         'accepted': np.bool,
         'model_logp': np.float64,

Mutant 651

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -45,7 +45,7 @@
         'diverging': np.bool,
         'energy_error': np.float64,
         'energy': np.float64,
-        'path_length': np.float64,
+        'XXpath_lengthXX': np.float64,
         'accepted': np.bool,
         'model_logp': np.float64,
     }]

Mutant 652

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -46,7 +46,7 @@
         'energy_error': np.float64,
         'energy': np.float64,
         'path_length': np.float64,
-        'accepted': np.bool,
+        'XXacceptedXX': np.bool,
         'model_logp': np.float64,
     }]
 

Mutant 653

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -47,7 +47,7 @@
         'energy': np.float64,
         'path_length': np.float64,
         'accepted': np.bool,
-        'model_logp': np.float64,
+        'XXmodel_logpXX': np.float64,
     }]
 
     def __init__(self, vars=None, path_length=2., max_steps=1024, **kwargs):

Mutant 654

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -50,7 +50,7 @@
         'model_logp': np.float64,
     }]
 
-    def __init__(self, vars=None, path_length=2., max_steps=1024, **kwargs):
+    def __init__(self, vars=None, path_length=3.0, max_steps=1024, **kwargs):
         """Set up the Hamiltonian Monte Carlo sampler.
 
         Parameters

Mutant 655

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -50,7 +50,7 @@
         'model_logp': np.float64,
     }]
 
-    def __init__(self, vars=None, path_length=2., max_steps=1024, **kwargs):
+    def __init__(self, vars=None, path_length=2., max_steps=1025, **kwargs):
         """Set up the Hamiltonian Monte Carlo sampler.
 
         Parameters

Mutant 656

--- pymc3/step_methods/hmc/hmc.py
+++ pymc3/step_methods/hmc/hmc.py
@@ -151,7 +151,6 @@
         }
         return HMCStepData(end, accept_stat, div_info, stats)
 
-    @staticmethod
     def competence(var, has_grad):
         """Check how appropriate this class is for sampling a random variable."""
         if var.dtype in discrete_types or not has_grad: