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version 957, Thu Apr 3 00:15:51 2003 UTC version 963, Fri Apr 4 21:23:31 2003 UTC
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           a given object type and storage approach, you can create your own            a given object type and storage approach, you can create your own
           "DM" components.  You can think of a DM as an advanced form of            "DM" components.  You can think of a DM as an advanced form of
           Python "shelve", that supports references to other objects,            Python "shelve", that supports references to other objects,
           transactions, arbitrary back-end storages, and            transactions, arbitrary back-end storages, and caching.
   
         - "Stackable" data managers: one DM might serialize a set of objects          - "Stackable" data managers: one DM might serialize a set of objects
           to XML, which could then be stored in a database record by another            to XML, which could then be stored in a database record by another
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           that writes to disk files!  Each DM only needs to know how to            that writes to disk files!  Each DM only needs to know how to
           manipulate objects offered by the next-level DM, not the details            manipulate objects offered by the next-level DM, not the details
           of the next DM's implementation, so all the DM's are potentially            of the next DM's implementation, so all the DM's are potentially
           replacable with alternate storage mechanisms.            replaceable with alternate storage mechanisms.
   
         - RDBMS and LDAP connection framework based on the Python DBAPI,          - RDBMS and LDAP connection framework based on the Python DBAPI,
           that handles data type conversions (via the configuration            that handles data type conversions (via the configuration
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           by name or URL, and bound as default collaborators or utilities            by name or URL, and bound as default collaborators or utilities
           for access by other application components.            for access by other application components.
   
     * CASE/modelling tools: PEAK includes APIs to read and write object      * CASE/modelling tools: PEAK includes APIs to read object
       models created in the XML-based XMI format.  Many open-source and        models created in the XML-based XMI format.  Many open-source and
       commercial modelling tools support XMI, inlcuding Argo/Poseidon and        commercial modelling tools support XMI, inlcuding Argo/Poseidon and
       MagicDraw UML.  PEAK includes pre-built support for UML versions 1.3        MagicDraw UML.  PEAK includes pre-built support for UML versions 1.3
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    in areas not covered by the test suites.  Also, many system interfaces     in areas not covered by the test suites.  Also, many system interfaces
    are still subject to change.     are still subject to change.
   
    PEAK includes early copies of Zope 3's 'Interface' and 'Persistence'     PEAK includes early copies of Zope X3's 'Interface' and 'Persistence'
    packages, which have since changed names in their official releases,     packages, which have since changed names in their official releases,
    and have had - and will continue to have - significant implementation     and have had - and will continue to have - significant implementation
    changes.  Complete interoperability with Zope 3 is therefore currently     changes.  Complete interoperability with Zope X3 is therefore currently
    at risk.  We are waiting until the pending refactoring of Zope 3's     at risk.  We are waiting until the pending refactoring of Zope 3's
    interface package is complete before upgrading from 'Interface' to     interface package is complete before upgrading from 'Interface' to
    'zope.interface'.  Also, the ZODB persistence package is undergoing     'zope.interface'.  Also, the ZODB persistence package is undergoing

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