# Path: reggie/core/priors.py
# PRIORS = dict()
# 
# Path: reggie/core/domains.py
# REAL = 'real'
# 
# Path: reggie/core/domains.py
# BOUNDS = {
#     REAL: (-np.inf, np.inf),
#     POSITIVE: (EPSILON, np.inf)
# }
# 
# TRANSFORMS = {
#     REAL: Identity(),
#     POSITIVE: Log()
# }


import numpy as np
import copy
import tabulate
import warnings
from collections import OrderedDict
from .priors import PRIORS
from .domains import REAL
from .domains import BOUNDS, TRANSFORMS
        # dictionary as well. this must be done first so that when we copy the
        # Parameters object it refers to the correct object instance.
        obj = memo[id(self)] = type(self).__new__(type(self))

        # make sure to copy the parameters first. these are stored in the memo
        # dictionary so we don't need to explicitly save them
        copy.deepcopy(self.params, memo)

        # copy the rest of the objects in this Parameterized instance
        for key, val in self.__dict__.items():
            setattr(obj, key, copy.deepcopy(val, memo))
        return obj

    def copy(self, theta=None, transform=False):
        """
        Return a copy of the object. If `theta` is given then update the
        parameters of the copy; if `transform` is True then these parameters
        are in the transformed space.
        """
        obj = copy.deepcopy(self)
        if theta is not None:
            obj.params.set_value(theta, transform)
        return obj

    def _update(self):
        """
        Update any internal parameters (sufficient statistics, etc.).
        """
        pass


# Path: reggie/core/priors.py
# PRIORS = dict()
# 
# Path: reggie/core/domains.py
# REAL = 'real'
# 
# Path: reggie/core/domains.py
# BOUNDS = {
#     REAL: (-np.inf, np.inf),
#     POSITIVE: (EPSILON, np.inf)
# }
# 
# TRANSFORMS = {
#     REAL: Identity(),
#     POSITIVE: Log()
# }


# Path: reggie/core/params.py
import numpy as np
import copy
import tabulate
import warnings
from collections import OrderedDict
from .priors import PRIORS
from .domains import REAL
from .domains import BOUNDS, TRANSFORMS

        # dictionary as well. this must be done first so that when we copy the
        # Parameters object it refers to the correct object instance.
        obj = memo[id(self)] = type(self).__new__(type(self))

        # make sure to copy the parameters first. these are stored in the memo
        # dictionary so we don't need to explicitly save them
        copy.deepcopy(self.params, memo)

        # copy the rest of the objects in this Parameterized instance
        for key, val in self.__dict__.items():
            setattr(obj, key, copy.deepcopy(val, memo))
        return obj

    def copy(self, theta=None, transform=False):
        """
        Return a copy of the object. If `theta` is given then update the
        parameters of the copy; if `transform` is True then these parameters
        are in the transformed space.
        """
        obj = copy.deepcopy(self)
        if theta is not None:
            obj.params.set_value(theta, transform)
        return obj

    def _update(self):
        """
        Update any internal parameters (sufficient statistics, etc.).
        """
        pass


    def _register(self, name, param, domain=REAL, shape=()):