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with subclassing ndarray, current_slice problems not solved...

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Max Zwiessele 2013-10-02 19:18:23 +01:00
parent 36e60362da
commit 1a8c27d23b
1 changed files with 93 additions and 47 deletions
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140
GPy/core/parameter.py
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@ -76,50 +76,90 @@ class Parameters(object):
pass
class Parameter(object):
class Parameter(numpy.ndarray):
tied_to = [] # list of parameters this parameter is tied to
fixed = False # if this parameter is fixed
__array_priority__ = 15.0
def __init__(self, name, value, constraint=None, *args, **kwargs):
self.name = name
self._value = value
self._current_slice = slice(None)
def __new__(cls, name, input_array, info=None):
obj = numpy.array(input_array).view(cls)
obj.name = name
obj._current_slice = slice(None)
obj._realshape = input_array.shape
# def attribute_func(value, name):
# value_func = self.value.__getattribute__(name)
# if isinstance(value_func, FunctionType):
# def f(*args, **kwargs):
# with self.slicing():
# return self.value.__getattribute__(name)(*args, **kwargs)
# else:
# def f(*args, **kwargs):
# with self.slicing():
# return self.value.__getattribute__(name)(*args, **kwargs)
# raise AttributeError("This is a parameter view, use self.value for array view")
# try:
# f.__doc__ = value_func.__doc__
# except AttributeError:
# # no docstring present
# pass
# return f
#
#
# for name in dir(value):
# if not hasattr(self, name):
# self.__setattr__(name, attribute_func(value, name))#value.__getattribute__(name))
self.constraints = ParameterIndexOperations(self)
obj.constraints = ParameterIndexOperations(obj)
return obj
def __array_finalize__(self, obj):
# see InfoArray.__array_finalize__ for comments
if obj is None: return
self.name = getattr(obj, 'name', None)
self._realshape = getattr(obj, '_realshape', None)
self.constraints = getattr(obj, 'constraints', None)
# self._current_slice = getattr(obj, '_current_slice', None)
def __array_wrap__(self, out_arr, context=None):
return numpy.ndarray.__array_wrap__(self, out_arr, context)
# def __init__(self, name, value, constraint=None, *args, **kwargs):
# self.constraints = ParameterIndexOperations(self)
#
# self._value = value
# self._current_slice = slice(None)
# def attribute_func(value, name):
# value_func = self.value.__getattribute__(name)
# def f(*args, **kwargs):
# with self.slicing():
# raise AttributeError("This is a parameter view, use self.value for array view")
# try:
# f.__doc__ = value_func.__doc__
# except AttributeError:
# # no docstring present
# pass
# return f
#
# for name in dir(value):
# if not hasattr(self, name):
# self.__setattr__(name, attribute_func(value, name))#value.__getattribute__(name))
# super(Parameter, self).__init__(value, *args, **kwargs)
@property
def value(self):
return self._value[self._current_slice]
@value.setter
def value(self, value):
self._value[self._current_slice] = value
@property
def size(self):
return self.value.size
@property
def shape(self):
return self.value.shape
@property
def realshape(self):
return self._value.shape
return self#self.base[self._current_slice]
# @value.setter
# def value(self, value):
# self.base[self._current_slice] = value
# @property
# def value(self):
# return self._value[self._current_slice]
# @value.setter
# def value(self, value):
# self._value[self._current_slice] = value
# @property
# def size(self):
# return self.value.size
# @property
# def shape(self):
# return self.value.shape
# @property
# def realshape(self):
# return self._value.shape
@property
def _desc(self):
if self.size <= 1:
@ -165,40 +205,46 @@ class Parameter(object):
self.unconstrain(Logexp())
def __getitem__(self, s):
try:
self.value[s]
self._current_slice = s#[s if s else slice(s2) for s,s2 in itertools.izip_longest([s], self.shape, fillvalue=None)]
return self
except IndexError as i:
self._current_slice = slice(None)
raise i
def __setitem__(self, s, value):
try:
self.value[s] = value
self._current_slice = slice(None)
return self
except IndexError as i:
raise i
def __getitem__(self, s, *args, **kwargs):
#self._current_slice = s
# import ipdb;ipdb.set_trace()
new_arr = numpy.ndarray.__getitem__(self, s, *args, **kwargs)
new_arr._current_slice = s
return new_arr
# def __getitem__(self, s):
# try:
# self.value[s]
# self._current_slice = s#[s if s else slice(s2) for s,s2 in itertools.izip_longest([s], self.shape, fillvalue=None)]
# return self
# except IndexError as i:
# self._current_slice = slice(None)
# raise i
#
# def __setitem__(self, s, value):
# try:
# self.value[s] = value
# self._current_slice = slice(None)
# return self
# except IndexError as i:
# raise i
#
#
# def __repr__(self, *args, **kwargs):
# view = repr(self.value)
# self._current_slice = slice(None)
# return view
def __str__(self, format_spec=None):
with self.slicing():
#with self.slicing():
if format_spec is None:
constr_matrix = numpy.empty(self.realshape, dtype=object)
constr_matrix = numpy.empty(self._realshape, dtype=object)
constr_matrix[:] = ''
for constr, indices in self.constraints.iteritems():
constr_matrix[indices] = numpy.vectorize(lambda x: " ".join([x,str(constr)]) if x else str(constr))(constr_matrix[indices])
constr_matrix = constr_matrix.astype(numpy.string_)[self._current_slice]
p = numpy.get_printoptions()['precision']
constr = constr_matrix.flat
ind = numpy.array(list(itertools.product(*itertools.imap(range, self.realshape))))[self.constraints.create_raveled_indices(self._current_slice),...]
ind = numpy.array(list(itertools.product(*itertools.imap(range, self._realshape))))[self.constraints.create_raveled_indices(self._current_slice),...]
c_name, x_name, i_name = "Constraint", "Value", "Index"
lc = max(reduce(lambda a,b: max(a, len(b)), constr_matrix.flat, 0), len(c_name))
lx = max(reduce(lambda a,b: max(a, len("{x:=.{0}G}".format(p,x=b))), self.value.flat, 0), len(x_name))