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For handling text or binary data, use the "s#", "z#", "u#", "es#", or "et#" codes These conversions work exactly the same as before except that they additionally return a length Because of this, the restriction on embedded NULL characters is lifted In addition, these conversions add support for byte strings and any other objects that support something known as the buffer interfaceThe buffer interface is a means by which a Python object can expose a raw binary buffer representing its contentsTypically, you find it on strings, bytes, and arrays (eg, the arrays created in the array module support it) In this case, if an object provides a readable buffer interface, a pointer to the buffer and its size is returned Finally, if a non-NULL pointer and length are given to the "es#" and "et#" conversions, it is assumed that these represent a pre-allocated buffer into which the result of the encoding can be placed In this case, the interpreter does not allocate new memory for the result and you don t have to call PyMem_Free() The conversion codes of "s*" and "z*" are similar to "s#" and "z#" except that they populate a Py_buffer structure with information about the received data More information about this can be found in PEP-3118, but this structure minimally has attributes char *buf, int len, and int itemsize that point to the buffer, the buffer length (in bytes), and the size of items held in the buffer In addition, the interpreter places a lock on the buffer that prevents it from being changed by other threads as long as it is held by extension codeThis allows the extension to work with the buffer contents independently, possibly in a different thread than the interpreter It is up to the user to call PyBuffer_Release() on the buffer after all processing is complete The conversion codes of "t#", "w", "w#", and "w*" are just like the "s" family of codes except that they only accept objects implementing the buffer interface "t#" requires the buffer to be readableThe "w" code requires the buffer to be both readable and writable A Python object supporting a writable buffer is assumed to be mutable Thus, it is legal for a C extension to overwrite or modify the buffer contents The conversion codes of "y", "y#", and "y*" are just like the "s" family of codes except that they only accept byte strings Use these to write functions that must only take bytes, not Unicode stringsThe "y" code only accepts byte strings that do not contain embedded NULL characters Table 263 lists conversion codes that are used to accept arbitrary Python objects as input and to leave the result as type PyObject *These are sometimes used for C extensions that need to work with Python objects that are more complicated than simple numbers or strings for example, if you needed a C extension function to accept an instance of a Python class or dictionary.

Be cautious about such casts! They can lead to unexpected loss of precision and possibly sign extension In C and C++, reading input using an unsigned integral type obviates the need to check against a lower bound This luxury comes at a price, though: Programmers must be concerned about operations that mix signed and

PyArg_Parse*

A row occupies a whole number of bytes, rounded up if necessary Samples and their components are packed into bytes from high-order to loworder bits

"O" "O!" "O&" "S" "U"

PyObject **r PyTypeObject *type, PyObject **r int (*converter)(PyObject *, void *), void *r PyObject **r PyObject **r

predictions near the boundaries) are 0 The predictor function groups also differ in signi cant ways:

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unsigned values because converting an unsigned value to a signed value could produce a negative result, and converting a signed value to an unsigned value could produce an unexpectedly large result Example 526 demonstrates a signed-to-unsigned conversion problem The function doAlloc() takes a signed integer as a parameter and uses as the argument to malloc() Because malloc() takes an unsigned argument, the call to malloc() implies a conversion from a signed value to an unsigned value If doAlloc() is invoked with a negative argument, malloc() will try to allocate a very large amount of memory This could cause the allocation to fail or, perhaps worse, the allocation might succeed and deprive the program of a large chunk of memory Example 527 demonstrates an unsigned-to-signed conversion problem The function getFileSize() returns a signed quantity but derives its return value from an unsigned eld This means that les larger than 2GB will appear to have a negative size

The "O", "S", and "U" specifiers return raw Python objects of type PyObject * "S" and "U" restrict this object to be a string or Unicode string, respectively The "O!" conversion requires two C arguments: a pointer to a Python type object and a pointer to a PyObject * into which a pointer to the object is placed A TypeError is raised if the type of the object doesn t match the type object For example:

/* Parse a List Argument */ PyObject *listobj; PyArg_ParseTuple(args,"O!", &PyList_Type, &listobj);

algorithm tag, so different rows can be predicted with different algorithms to improve compression TIFF Predictor 2 has no such identi er; the same algorithm applies to all rows

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