def _register(name, type, force=0):
"""Register the type object. Raise an exception if it is already registered
unless force is true.
"""
if typeDict.has_key(name) and not force:
raise ValueError("Type %s has already been registered" % name)
typeDict[name] = type
return type
def _register(name, type, force=0):
"""Register the type object. Raise an exception if it is already registered
unless force is true.
"""
if typeDict.has_key(name) and not force:
raise ValueError("Type %s has already been registered" % name)
typeDict[name] = type
return type
def __new__(type, name, bytes, default, typeno):
"""__new__() implements a 'quasi-singleton pattern because attempts
to create duplicate types return the first created instance of that
particular type parameterization, i.e. the second time you try to
create "Int32", you get the original Int32, not a new one.
"""
if typeDict.has_key(name):
self = typeDict[name]
if self.bytes != bytes or self.default != default or self.typeno != typeno:
raise ValueError("Redeclaration of existing NumericType with different parameters.")
return self
else:
return _numerictype.__new__(type, name, bytes, default, typeno)
def __new__(type, name, bytes, default, typeno):
"""__new__() implements a 'quasi-singleton pattern because attempts
to create duplicate types return the first created instance of that
particular type parameterization, i.e. the second time you try to
create "Int32", you get the original Int32, not a new one.
"""
if typeDict.has_key(name):
self = typeDict[name]
if self.bytes != bytes or self.default != default or self.typeno != typeno:
raise ValueError(
"Redeclaration of existing NumericType with different parameters."
)
return self
else:
return _numerictype.__new__(type, name, bytes, default, typeno)
def IsType(rep):
"""Determines whether the given object or string, 'rep', represents
a numarray type."""
return isinstance(rep, NumericType) or typeDict.has_key(rep)
def IsType(rep):
"""Determines whether the given object or string, 'rep', represents
a numarray type."""
return isinstance(rep, NumericType) or typeDict.has_key(rep)
