Common data-modeling Python types
 
The idea of the basictypes package is to provide
types which provide enough metadata to allow an
application to use introspection to perform much
of the housekeeping required to create business
applications.

Package Contents
		__init__ -- Common data-modeling Python types basic_types -- Stand-alone type-definition objects for basic data types booleanfix -- Hack to provide Python 2.3-style boolean operation in 2.2 boundary -- Boundary objects for checking data values bytes -- Simple class providing formatting of byte values (gigabytes, megabytes, etceteras) callable -- Preliminary callable-object modelling classes datatypedefinition -- Interface/base class for data type definitions date_types -- Stand-alone type-definition objects for date-based data types datemx_types -- mxDateTime-based date value-types debug -- Logging facilities for basictypes decimaldt -- Wrapper for Python 2.4 (which also works with 2.3) decimal datatype domainname -- String sub-class representing a domain name enumeration -- Simple Enumeration (choice-from-set) data-type factory -- (preliminary) Model of a Factory Callable object interfaces -- Interfaces for basictypes and basicproperty latebind -- Module providing "late-binding" for type specifiers list_types -- Restricted lists with base-datatype meta-type support pythoninterfaces -- Core-python interface definitions registry -- Mapping from core types/classes to stand-in DataTypeDefinitions rlist -- Restrictive-List base class typeunion -- Object representing functional union of two types vfs (package) -- URL manipulation and object-oriented class hierarchy wxtypes (package) -- wxPython data-type models xmlgenerator

Data
		__file__ = r'p:\properties\basictypes\__init__.pyc' __name__ = 'basictypes' __path__ = [r'p:\properties\basictypes']