def __init__(self, *args, **kwargs):
# Since we use flip, this must be an argument of a 'context' C that will manage the randomness. Note that
# C is the last argument, so Cfirst=False below
RecursiveLOTHypothesis.__init__(self,
grammar=grammar,
display="lambda recurse_, C: %s",
*args,
**kwargs)
def __init__(self, grammar=None, value=None, f=None, gamma=-30, **kwargs):
RecursiveLOTHypothesis.__init__(self,
grammar,
value=value,
f=f,
**kwargs)
self.gamma = gamma
self.lg1mgamma = log1mexp(gamma)
def __call__(self, *args):
"""
The main calling function. Resets recursive_call_depth and then calls
"""
try:
return RecursiveLOTHypothesis.__call__(self, *args)
except RecursionDepthException:
return ''
def __call__(self, *args):
"""
The main calling function. Resets recursive_call_depth and then calls
"""
try:
return RecursiveLOTHypothesis.__call__(self, *args)
except RecursionDepthException:
return ""
def __call__(self, *args):
try:
return RecursiveLOTHypothesis.__call__(self, *args)
except RecursionDepthException:
return ''
def __init__(self, grammar=None, **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar=grammar, **kwargs)
def __init__(self, grammar=None, **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar, args=[], recurse_bound=25, maxnodes=100, **kwargs)
def __init__(self, grammar=None, display="lambda recurse_: %s", **kwargs):
RecursiveLOTHypothesis.__init__(self,
grammar=grammar,
display=display,
**kwargs)
def __init__(self, grammar=None, display="lambda recurse_: %s", **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar=grammar, display=display, **kwargs)
def __call__(self, *args):
try:
return RecursiveLOTHypothesis.__call__(self, *args)
except RecursionDepthException:
return ''
def __init__(self, grammar=base_grammar, **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar, **kwargs)
def __init__(self, grammar=None, value=None, f=None, args=['x'], **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar, value=value, args=['x'], **kwargs)
def __init__(self, grammar=base_grammar, **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar, **kwargs)
def __init__(self, grammar, value=None, f=None, proposal_function=None, args=['x'], **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar, value=value, proposal_function=proposal_function, args=['x'], **kwargs)
def __init__(self, grammar=None, **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar, args=[], recurse_bound=20, maxnodes=100, **kwargs)
def __init__(self, grammar=None, value=None, f=None, gamma=-30, **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar, value=value, f=f, **kwargs)
self.gamma = gamma
self.lg1mgamma = log1mexp(gamma)
def __call__(self, *args):
try:
return RecursiveLOTHypothesis.__call__(self, *args)
except EvaluationException: # catch recursion and too big
return None
def __call__(self, *args):
try:
return RecursiveLOTHypothesis.__call__(self, *args)
except EvaluationException: # catch recursion and too big
return None
def __init__(self, *args, **kwargs):
# Since we use flip, this must be an argument of a 'context' C that will manage the randomness. Note that
# C is the last argument, so Cfirst=False below
RecursiveLOTHypothesis.__init__(self, grammar=grammar, display="lambda recurse_, C: %s", *args, **kwargs)
def __init__(self, grammar=None, **kwargs):
RecursiveLOTHypothesis.__init__(self, grammar=grammar, **kwargs)