mirror of https://github.com/python/cpython
236 lines
8.2 KiB
TeX
236 lines
8.2 KiB
TeX
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\section{Standard module \sectcode{xdrlib}}
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\stmodindex{xdrlib}
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\index{XDR}
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\renewcommand{\indexsubitem}{(in module xdrlib)}
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The \code{xdrlib} module supports the External Data Representation
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Standard as described in RFC 1014, written by Sun Microsystems,
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Inc. June 1987. It supports most of the data types described in the
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RFC, although some, most notably \code{float} and \code{double} are
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only supported on those operating systems that provide an XDR
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library.
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The \code{xdrlib} module defines two classes, one for packing
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variables into XDR representation, and another for unpacking from XDR
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representation. There are also two exception classes.
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\subsection{Packer Objects}
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\code{Packer} is the class for packing data into XDR representation.
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The \code{Packer} class is instantiated with no arguments.
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\begin{funcdesc}{get_buffer}{}
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Returns the current pack buffer as a string.
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\end{funcdesc}
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\begin{funcdesc}{reset}{}
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Resets the pack buffer to the empty string.
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\end{funcdesc}
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In general, you can pack any of the most common XDR data types by
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calling the appropriate \code{pack_\var{type}} method. Each method
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takes a single argument, the value to pack. The following simple data
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type packing methods are supported: \code{pack_uint}, \code{pack_int},
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\code{pack_enum}, \code{pack_bool}, \code{pack_uhyper},
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and \code{pack_hyper}.
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The following methods pack floating point numbers, however they
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require C library support. Without the optional C built-in module,
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both of these methods will raise an \code{xdrlib.ConversionError}
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exception. See the note at the end of this chapter for details.
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\begin{funcdesc}{pack_float}{value}
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Packs the single-precision floating point number \var{value}.
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\end{funcdesc}
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\begin{funcdesc}{pack_double}{value}
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Packs the double-precision floating point number \var{value}.
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\end{funcdesc}
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The following methods support packing strings, bytes, and opaque data:
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\begin{funcdesc}{pack_fstring}{n\, s}
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Packs a fixed length string, \var{s}. \var{n} is the length of the
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string but it is \emph{not} packed into the data buffer. The string
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is padded with null bytes if necessary to guaranteed 4 byte alignment.
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\end{funcdesc}
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\begin{funcdesc}{pack_fopaque}{n\, data}
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Packs a fixed length opaque data stream, similarly to
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\code{pack_fstring}.
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\end{funcdesc}
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\begin{funcdesc}{pack_string}{s}
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Packs a variable length string, \var{s}. The length of the string is
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first packed as an unsigned integer, then the string data is packed
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with \code{pack_fstring}.
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\end{funcdesc}
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\begin{funcdesc}{pack_opaque}{data}
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Packs a variable length opaque data string, similarly to
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\code{pack_string}.
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\end{funcdesc}
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\begin{funcdesc}{pack_bytes}{bytes}
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Packs a variable length byte stream, similarly to \code{pack_string}.
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\end{funcdesc}
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The following methods support packing arrays and lists:
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\begin{funcdesc}{pack_list}{list\, pack_item}
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Packs a \var{list} of homogeneous items. This method is useful for
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lists with an indeterminate size; i.e. the size is not available until
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the entire list has been walked. For each item in the list, an
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unsigned integer \code{1} is packed first, followed by the data value
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from the list. \var{pack_item} is the function that is called to pack
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the individual item. At the end of the list, an unsigned integer
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\code{0} is packed.
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\end{funcdesc}
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\begin{funcdesc}{pack_farray}{n\, array\, pack_item}
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Packs a fixed length list (\var{array}) of homogeneous items. \var{n}
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is the length of the list; it is \emph{not} packed into the buffer,
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but a \code{ValueError} exception is raised if \code{len(array)} is not
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equal to \var{n}. As above, \var{pack_item} is the function used to
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pack each element.
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\end{funcdesc}
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\begin{funcdesc}{pack_array}{list\, pack_item}
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Packs a variable length \var{list} of homogeneous items. First, the
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length of the list is packed as an unsigned integer, then each element
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is packed as in \code{pack_farray} above.
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\end{funcdesc}
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\subsection{Unpacker Objects}
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\code{Unpacker} is the complementary class which unpacks XDR data
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values from a string buffer, and has the following methods:
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\begin{funcdesc}{__init__}{data}
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Instantiates an \code{Unpacker} object with the string buffer
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\var{data}.
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\end{funcdesc}
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\begin{funcdesc}{reset}{data}
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Resets the string buffer with the given \var{data}.
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\end{funcdesc}
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\begin{funcdesc}{get_position}{}
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Returns the current unpack position in the data buffer.
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\end{funcdesc}
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\begin{funcdesc}{set_position}{position}
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Sets the data buffer unpack position to \var{position}. You should be
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careful about using \code{get_position()} and \code{set_position()}.
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\end{funcdesc}
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\begin{funcdesc}{done}{}
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Indicates unpack completion. Raises an \code{xdrlib.Error} exception
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if all of the data has not been unpacked.
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\end{funcdesc}
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In addition, every data type that can be packed with a \code{Packer},
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can be unpacked with an \code{Unpacker}. Unpacking methods are of the
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form \code{unpack_\var{type}}, and take no arguments. They return the
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unpacked object. The same caveats apply for \code{unpack_float} and
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\code{unpack_double} as above.
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In addition, the following methods unpack strings, bytes, and opaque
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data:
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\begin{funcdesc}{unpack_fstring}{n}
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Unpacks and returns a fixed length string. \var{n} is the number of
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characters expected. Padding with null bytes to guaranteed 4 byte
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alignment is assumed.
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\end{funcdesc}
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\begin{funcdesc}{unpack_fopaque}{n}
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Unpacks and returns a fixed length opaque data stream, similarly to
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\code{unpack_fstring}.
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\end{funcdesc}
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\begin{funcdesc}{pack_string}{}
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Unpacks and returns a variable length string. The length of the
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string is first unpacked as an unsigned integer, then the string data
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is unpacked with \code{unpack_fstring}.
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\end{funcdesc}
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\begin{funcdesc}{unpack_opaque}{}
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Unpacks and returns a variable length opaque data string, similarly to
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\code{pack_string}.
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\end{funcdesc}
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\begin{funcdesc}{unpack_bytes}{}
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Unpacks and returns a variable length byte stream, similarly to
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\code{pack_string}.
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\end{funcdesc}
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The following methods support unpacking arrays and lists:
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\begin{funcdesc}{unpack_list}{unpack_item}
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Unpacks and returns a list of homogeneous items. The list is unpacked
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one element at a time
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by first unpacking an unsigned integer flag. If the flag is \code{1},
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then the item is unpacked and appended to the list. A flag of
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\code{0} indicates the end of the list. \var{unpack_item} is the
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function that is called to unpack the items.
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\end{funcdesc}
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\begin{funcdesc}{unpack_farray}{n\, unpack_item}
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Unpacks and returns (as a list) a fixed length array of homogeneous
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items. \var{n} is number of list elements to expect in the buffer.
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As above, \var{unpack_item} is the function used to unpack each element.
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\end{funcdesc}
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\begin{funcdesc}{unpack_array}{unpack_item}
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Unpacks and returns a variable length \var{list} of homogeneous items.
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First, the length of the list is unpacked as an unsigned integer, then
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each element is unpacked as in \code{unpack_farray} above.
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\end{funcdesc}
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\subsection{Exceptions}
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Exceptions in this module are coded as class instances:
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\begin{excdesc}{Error}
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The base exception class. \code{Error} has a single public data
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member \code{msg} containing the description of the error.
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\end{excdesc}
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\begin{excdesc}{ConversionError}
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Class derived from \code{Error}. Contains no additional instance
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variables.
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\end{excdesc}
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Here is an example of how you would catch one of these exceptions:
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\begin{verbatim}
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import xdrlib
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p = xdrlib.Packer()
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try:
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p.pack_double(8.01)
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except xdrlib.ConversionError, instance:
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print 'packing the double failed:', instance.msg
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\end{verbatim}
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\subsection{Supporting Floating Point Data}
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Packing and unpacking floating point data,
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i.e. \code{Packer.pack_float}, \code{Packer.pack_double},
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\code{Unpacker.unpack_float}, and \code{Unpacker.unpack_double}, are
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only supported with the helper built-in \code{_xdr} module, which
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relies on your operating system having the appropriate XDR library
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routines.
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If you have built the Python interpeter with the \code{_xdr} module,
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or have built the \code{_xdr} module as a shared library,
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\code{xdrlib} will use these to pack and unpack floating point
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numbers. Otherwise, using these routines will raise a
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\code{ConversionError} exception.
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See the Python installation instructions for details on building the
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\code{_xdr} module.
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