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There are typically at least two parts to any planning phase The first part is analysis of the current state of the system Analysis involves the software developers, the project managers, and the customers of the system The second part of planning is called design The results of the analysis planning are used by the development team to produce a software design that can be used for the Build phase In older structured methodologies, the analysis and design phases were distinct operations With object-oriented systems, the difference between analysis and design is somewhat less distinct The most significant difference is likely to be the participants and the level of detail involved in the process In OO, a major goal of both the initial analysis and design is to discover the objects that the system will require, what the responsibilities of the objects are, and how they will interact with each other In analysis, objects are treated at a higher level than in design The inner details of the objects are ignored, as are the exact interactions and implementations of objects These details are worked out during design The planning process is repeated in subsequent iterations of the development cycle The results of the previous build and release are used to refine the specifications of the system This will include refining the features of the system, as well as the objects used by the system The over all size of the project will determine just how distinct the different parts of the planning, building and release phases of a project are For some of the newer agile development methodologies, such as XP, suitable for small to medium sized projects, the three phases can become quite fuzzy The larger the project, the more likely it is that a heavyweight methodology will be required, and that the distinction between phases will be more apparent.

Sets command-line options used to populate the value of sysargvThis should only be called before Py_Initialize()

Although there are many ways that the interpreter can be accessed from C, four essential tasks are the most common with embedding: n Importing Python library modules (emulating the import statement) n Getting references to objects defined in modules n Calling Python functions, classes, and methods n Accessing the attributes of objects (data, methods, and so on) All of these operations can be carried out using these basic operations defined in the Python C API:

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PyObject *PyImport_ImportModule(const char *modname)

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PyObject *PyObject_GetAttrString(PyObject *obj, const char *name)

int PyObject_SetAttrString(PyObject *obj, const char *name, PyObject *value)

For some entity beans, the value of a primary key has a meaning for the business entity For example, in an entity bean that represents a phone call to a support center, the primary key might include a time stamp that indicates when the call was received But for other beans, the key s value is arbitrary provided that it s unique With container-managed persistence, these key values can be generated automatically by the EJB container To take advantage of this feature, an entity bean must meet these requirements: In the deployment descriptor, the primary key class is defined as a The primary key field is not specified method In the home interface, the argument of the must be a method must be In the entity bean class, the return type of the a In these entity beans, the primary key values are in an internal field that only the EJB container can access You cannot associate the primary key with a persistent field or any other instance variable However, you can fetch the bean s primary

PyObject *PyEval_CallObject(PyObject *func, PyObject *args)

Calls func with arguments args func is a Python callable object (function, method, class, and so on) args is a tuple of arguments

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