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appendixC.rst

-Appendix C: Built-in Functions - *Draft*
-========================================
+Appendix C: Built-in Functions
+++++++++++++++++++++++++++++++
+
+Much of this appendix was taken from the Python Documentation Set, which can be found at www.python.org/doc/. The Python Documentation is Copyright 2001, 2002, 2003, 2004, 2005, 2006 Python Software Foundation; all rights reserved.
+
+More information can be found at http://docs.python.org/copyright.html.
+
+Version references reflect both CPython and Jython releases.
+
+In cases where versions refer to 2.3 or 2.4, assume that these functions were implemented in Jython 2.5.0 because there was no Jython 2.3 or 2.4.
 
 Constructor Functions
----------------------
+=====================
 
 Constructor functions are used to create objects of a given type.
 
-.. note:: 
+.. note::
+    
+    In Python, a type and its constructor function are the same thing.
+    So you can use the  function, which we will discuss momentarily, to look up the type of an object, and then make instances of that same type.
 
-  In Python, the type is a constructor function; there's no difference
-  at all in Python. So you can use the ``type`` function, which we
-  will discuss momentarily, to look up the type of an object, then make
-  instances of that same type.
+First we will look at the constructor functions, which are more typically used for conversion.
+This is because there is generally a convenient literal syntax available for creating instances.
+In the case of , there just two constants,  and .
 
-First we will look at the constructor functions, which are more
-typically used for conversion. This is because there is generally a
-convenient literal syntax available, or in the case of ``bool``, there
-are only two such constants, ``True`` and ``False``.
+bool([x])
+---------
 
-.. function:: bool([x])
+Convert a value to a Boolean, using the standard truth-testing procedure. If x is false or omitted, this returns False; otherwise it returns True. As noted at the start of this section, bool is also a class, which is a subclass of int. Class bool cannot be subclassed further. Its only instances are False and True.
+If no argument is given, this function returns False.
 
-   Convert a value to a Boolean, using the standard truth testing procedure.  If
-   *x* is false or omitted, this returns :const:`False`; otherwise it returns
-   :const:`True`. :class:`bool` is also a class, which is a subclass of
-   :class:`int`. Class :class:`bool` cannot be subclassed further.  Its only
-   instances are :const:`False` and :const:`True`.
+chr(i)
+------
 
-   If no argument is given, this function returns :const:`False`.
+Return a string of one character whose ASCII code is the integer i. For example, chr(97) returns the string 'a.' This is the inverse of ord. The argument must be in the range [0..255], inclusive; ValueError will be raised if i is outside that range. See also unichr.
 
-.. function:: chr(i)
+complex([real[, imag]])
+------------------------
 
-   Return a string of one character whose ASCII code is the integer *i*.  For
-   example, ``chr(97)`` returns the string ``'a'``. This is the inverse of
-   :func:`ord`.  The argument must be in the range [0..255], inclusive;
-   :exc:`ValueError` will be raised if *i* is outside that range. See
-   also :func:`unichr`.
+Create a complex number with the value real + imag*j or convert a string or number to a complex number. If the first parameter is a string, it will be interpreted as a complex number and the function must be called without a second parameter. The second parameter can never be a string. Each argument may be any numeric type (including complex). If imag is omitted, it defaults to zero and the function serves as a numeric conversion function like int, long and float. If both arguments are omitted, returns 0j.
 
-.. function:: complex([real[, imag]])
+dict([arg])
+-----------
 
-   Create a complex number with the value *real* + *imag*\*j or convert a string or
-   number to a complex number.  If the first parameter is a string, it will be
-   interpreted as a complex number and the function must be called without a second
-   parameter.  The second parameter can never be a string. Each argument may be any
-   numeric type (including complex). If *imag* is omitted, it defaults to zero and
-   the function serves as a numeric conversion function like :func:`int`,
-   :func:`long` and :func:`float`.  If both arguments are omitted, returns ``0j``.
+Create a new data dictionary, optionally with items taken from arg. 
+For other containers see the built-in list, set, and tuple classes, and the collections module.
+There is a convenient literal for creating dict objects:
+::
+    
+    a_dict = { 'alpha' : 1, 'beta' : 2, 'gamma' : 3 }
 
-.. function:: dict([arg])
-   :noindex:
+It can be more convenient to create dict objects using the dict function:
+::
+        
+    a_dict = dict(alpha=1, beta=2, gamma=3)
 
-   Create a new data dictionary, optionally with items taken from *arg*.
-   The dictionary type is described in :ref:`typesmapping`.
+In this latter case, keyword arguments are passed where the argument names become the keys.
+Similarly, you can pass an iterator to the dict function which produces pairs.
 
-   For other containers see the built in :class:`list`, :class:`set`, and
-   :class:`tuple` classes, and the :mod:`collections` module.
+file(filename[, mode[, bufsize]])
+---------------------------------
 
-Although there is a convenient literal for creating ``dict`` objects::
+Constructor function for the file type. The constructor’s arguments are the same as those of the open built-in function described in the following.
+When opening a file, it’s preferable to use open instead of invoking this constructor directly. file is more suited to type testing (for example, writing isinstance(f, file)).
+Version Added: 2.2.
 
-  a_dict = { 'alpha' : 1, 'beta' : 2, 'gamma' : 3 }
+float([x])
+----------
 
-It can be more convenient to create them using the ``dict`` function::
+Convert a string or a number to floating point. If the argument is a string, it must contain a possibly signed decimal or floating point number, possibly embedded in whitespace. The argument may also be [+|-]nan or [+|-]inf. Otherwise, the argument may be a plain or long integer or a floating point number, and a floating point number with the same value (within Python’s floating point precision) is returned. If no argument is given, returns 0.0.
 
-  a_dict = dict(alpha=1, beta=2, gamma=3)
+frozenset([iterable])
+---------------------
 
-Of course in this latter case, the keys of the entries being created
-must be valid Python keywords.
+Return a new frozenset object whose elements are taken from iterable. The elements of a set must be hashable. To represent sets of sets, the inner sets must be frozenset objects. If iterable is not specified, a new empty frozenset is returned.
 
-.. function:: float([x])
+int([x[, radix]])
+-----------------
 
-   Convert a string or a number to floating point.  If the argument is a string, it
-   must contain a possibly signed decimal or floating point number, possibly
-   embedded in whitespace. The argument may also be [+|-]nan or [+|-]inf.
-   Otherwise, the argument may be a plain or long integer
-   or a floating point number, and a floating point number with the same value
-   (within Python's floating point precision) is returned.  If no argument is
-   given, returns ``0.0``.
+Convert a string or number to a plain integer. If the argument is a string, it must contain a possibly signed decimal number representable as a Python integer, possibly embedded in whitespace. The radix parameter gives the base for the conversion (which is 10 by default) and may be any integer in the range [2, 36], or zero. If radix is zero, the proper radix is determined based on the contents of string; the interpretation is the same as for integer literals. (See numbers.) If radix is specified and x is not a string, TypeError is raised. Otherwise, the argument may be a plain or long integer or a floating point number. Conversion of floating point numbers to integers truncates (towards zero). If the argument is outside the integer range a long object will be returned instead. If no arguments are given, returns 0.
 
-.. function:: frozenset([iterable])
-   :noindex:
+iter(o[, sentinel])
+-------------------
 
-   Return a frozenset object, optionally with elements taken from *iterable*.
-   The frozenset type is described in :ref:`types-set`.
+Return an iterator object. The first argument is interpreted very differently depending on the presence of the second argument. Without a second argument, o must be a collection object, which supports the iteration protocol (the __iter__ method), or it must support the sequence protocol (the __getitem__ method with integer arguments starting at 0). If it does not support either of those protocols, TypeError is raised. If the second argument, sentinel, is given, then o must be a callable object. The iterator created in this case will call o with no arguments for each call to its next method; if the value returned is equal to sentinel, StopIteration will be raised, otherwise the value will be returned.
+Version Added: 2.2.
 
-   For other containers see the built in :class:`dict`, :class:`list`, and
-   :class:`tuple` classes, and the :mod:`collections` module.
+list([iterable])
+-----------------
 
-.. function:: int([x[, radix]])
+Return a list whose items are the same and in the same order as iterable’s items. Iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a list, a copy is made and returned, similar to iterable[:]. For instance, list('abc') returns ['a', 'b', 'c'] and list( (1, 2, 3) ) returns [1, 2, 3]. If no argument is given, returns a new empty list, [].
 
-   Convert a string or number to a plain integer.  If the argument is a string,
-   it must contain a possibly signed decimal number representable as a Python
-   integer, possibly embedded in whitespace.  The *radix* parameter gives the
-   base for the conversion (which is 10 by default) and may be any integer in
-   the range [2, 36], or zero.  If *radix* is zero, the proper radix is
-   determined based on the contents of string; the interpretation is the same as
-   for integer literals.  (See :ref:`numbers`.)  If *radix* is specified and *x*
-   is not a string, :exc:`TypeError` is raised. Otherwise, the argument may be a
-   plain or long integer or a floating point number.  Conversion of floating
-   point numbers to integers truncates (towards zero).  If the argument is
-   outside the integer range a long object will be returned instead.  If no
-   arguments are given, returns ``0``.
+object()
+--------
 
-   The integer type is described in :ref:`typesnumeric`.
+Return a new featureless object. Object is a base for all new style classes. It has the methods that are common to all instances of new style classes.
+Version Added: 2.2.
+Version Changed: CPython 2.3, Jython 2.5.0.
+This function does not accept any arguments. Formerly, it accepted arguments but ignored them.
 
-.. function:: iter(o[, sentinel])
+open(filename[, mode[, bufsize]])
+---------------------------------
 
-   Return an :term:`iterator` object.  The first argument is interpreted very differently
-   depending on the presence of the second argument. Without a second argument, *o*
-   must be a collection object which supports the iteration protocol (the
-   :meth:`__iter__` method), or it must support the sequence protocol (the
-   :meth:`__getitem__` method with integer arguments starting at ``0``).  If it
-   does not support either of those protocols, :exc:`TypeError` is raised. If the
-   second argument, *sentinel*, is given, then *o* must be a callable object.  The
-   iterator created in this case will call *o* with no arguments for each call to
-   its :meth:`next` method; if the value returned is equal to *sentinel*,
-   :exc:`StopIteration` will be raised, otherwise the value will be returned.
+Open a file, returning an object of the file type described previously. If the file cannot be opened, IOError is raised. When opening a file, it’s preferable to use open instead of invoking the file constructor directly.
+The first argument is the file name to be opened, and mode is a string indicating how the file is to be opened.
+The most commonly-used values of mode are 'r' for reading, 'w' for writing (truncating the file if it already exists), and 'a' for appending (which on some Unix systems means that all writes append to the end of the file regardless of the current seek position). If mode is omitted, it defaults to 'r'. The default is to use text mode, which may convert '\n' characters to a platform-specific representation on writing and back on reading. Thus, when opening a binary file, you should append 'b' to the mode value to open the file in binary mode, which will improve portability. (Appending 'b' is useful even on systems that don’t treat binary and text files differently, where it serves as documentation.) 
+The optional bufsize argument specifies the file’s desired buffer size: 0 means unbuffered, 1 means line buffered, any other positive value means use a buffer of (approximately) that size in bytes. A negative bufsize means to use the system default, which is usually line buffered for tty devices and fully buffered for other files. If omitted, the system default is used. 
+Modes 'r+', 'w+' and 'a+' open the file for updating (note that 'w+' truncates the file). Append 'b' to the mode to open the file in binary mode, on systems that differentiate between binary and text files; on systems that don't have this distinction, adding the 'b' has no effect.
+In addition to the standard `fopen` values mode may be 'U' or 'rU'. Python is usually built with universal newline support; supplying 'U' opens the file as a text file, but lines may be terminated by any of the following: the Unix end-of-line convention '\n', the Macintosh convention '\r', or the Windows convention '\r\n'. All of these external representations are seen as '\n' by the Python program. If Python is built without universal newline support a mode with 'U' is the same as normal text mode. Note that open file objects also have an attribute called newlines which has a value of None (if no newlines have yet been seen), '\n', '\r', '\r\n', or a tuple containing all the newline types seen.
+Python enforces that the mode, after stripping 'U', begins with 'r', 'w' or 'a'.
+Python provides many file handling modules including fileinput, os, os.path, tempfile, and shutil.
 
-   .. versionadded:: 2.2
+range([start,] stop[, step])
+----------------------------
+This is a versatile function to create lists containing arithmetic progressions. It is most often used in for loops. However, we recommend the use of xrange instead.
+The arguments must be plain integers. If the step argument is omitted, it defaults to 1. If the start argument is omitted, it defaults to 0. The full form returns a list of plain integers [start, start + step, start + 2 * step, ...]. If step is positive, the last element is the largest start + i * step less than stop; if step is negative, the last element is the smallest start + i * step greater than stop. step must not be zero (or else ValueError is raised). Some examples:
+::
+    
+    >>> range(10)
+    [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
+    >>> range(1, 11)
+    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+    >>> range(0, 30, 5)
+    [0, 5, 10, 15, 20, 25]
+    >>> range(0, 10, 3)
+    [0, 3, 6, 9]
+    >>> range(0, -10, -1)
+    [0, -1, -2, -3, -4, -5, -6, -7, -8, -9]
+    >>> range(0)
+    []
+    >>> range(1, 0)
+    []
 
-.. function:: list([iterable])
 
-   Return a list whose items are the same and in the same order as *iterable*'s
-   items.  *iterable* may be either a sequence, a container that supports
-   iteration, or an iterator object.  If *iterable* is already a list, a copy is
-   made and returned, similar to ``iterable[:]``.  For instance, ``list('abc')``
-   returns ``['a', 'b', 'c']`` and ``list( (1, 2, 3) )`` returns ``[1, 2, 3]``.  If
-   no argument is given, returns a new empty list, ``[]``.
+set([iterable])
+---------------
 
-   :class:`list` is a mutable sequence type, as documented in
-   :ref:`typesseq`. For other containers see the built in :class:`dict`,
-   :class:`set`, and :class:`tuple` classes, and the :mod:`collections` module.
+Return a new set, optionally with elements are taken from iterable. 
+For other containers see the built-in dict, list, and tuple classes, and the collections module.
+Version Added: CPython 2.4, Jython 2.5.0.
 
-.. function:: object()
+slice([start,] stop[, step])
+----------------------------
 
-   Return a new featureless object.  :class:`object` is a base for all new style
-   classes.  It has the methods that are common to all instances of new style
-   classes.
+Return a slice object representing the set of indices specified by range(start, stop, step). The start and step arguments default to None. Slice objects have read-only data attributes start, stop, and step, which merely return the argument values (or their default). They have no other explicit functionality; however they are used by Numerical Python and other third party extensions. Slice objects are also generated when extended indexing syntax is used. For example:
+::
+    
+    a[start:stop:step] or a[start:stop, i]. 
 
-   .. versionadded:: 2.2
+str([object])
+-------------
 
-   .. versionchanged:: 2.3
-      This function does not accept any arguments. Formerly, it accepted arguments but
-      ignored them.
+Return a string containing a nicely printable representation of an object. For strings, this returns the string itself. The difference with repr(object) is that str(object) does not always attempt to return a string that is acceptable to eval; its goal is to return a printable string. If no argument is given, returns the empty string, ''.
 
-.. function:: open(filename[, mode[, bufsize]])
+tuple([iterable])
+-----------------
+Return a tuple whose items are the same and in the same order as iterable’s items. Iterable may be a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For instance, tuple('abc') returns ('a', 'b', 'c') and tuple([1, 2, 3]) returns (1, 2, 3). If no argument is given, returns a new empty tuple, ().
 
-   Open a file, returning an object of the :class:`file` type described in
-   section :ref:`bltin-file-objects`.  If the file cannot be opened,
-   :exc:`IOError` is raised.  When opening a file, it's preferable to use
-   :func:`open` instead of invoking the :class:`file` constructor directly.
+type(name, bases, dict)
+-----------------------
 
-   The first two arguments are the same as for ``stdio``'s :cfunc:`fopen`:
-   *filename* is the file name to be opened, and *mode* is a string indicating how
-   the file is to be opened.
+Return a new type object. This is essentially a dynamic form of the class statement. The name string is the class name and becomes the __name__ attribute; the bases tuple itemizes the base classes and becomes the __bases__ attribute; and the dict dictionary is the namespace containing definitions for class body and becomes the __dict__ attribute. For example, the following two statements create identical type objects:
+::
+    
+    >>> class X(object):
+    ...     a = 1
+    ...
+    >>> X = type('X', (object,), dict(a=1))
 
-   The most commonly-used values of *mode* are ``'r'`` for reading, ``'w'`` for
-   writing (truncating the file if it already exists), and ``'a'`` for appending
-   (which on *some* Unix systems means that *all* writes append to the end of the
-   file regardless of the current seek position).  If *mode* is omitted, it
-   defaults to ``'r'``.  The default is to use text mode, which may convert
-   ``'\n'`` characters to a platform-specific representation on writing and back
-   on reading.  Thus, when opening a binary file, you should append ``'b'`` to
-   the *mode* value to open the file in binary mode, which will improve
-   portability.  (Appending ``'b'`` is useful even on systems that don't treat
-   binary and text files differently, where it serves as documentation.)  See below
-   for more possible values of *mode*.
 
-   .. index::
-      single: line-buffered I/O
-      single: unbuffered I/O
-      single: buffer size, I/O
-      single: I/O control; buffering
+Version Added: Jython 2.2.
 
-   The optional *bufsize* argument specifies the file's desired buffer size: 0
-   means unbuffered, 1 means line buffered, any other positive value means use a
-   buffer of (approximately) that size.  A negative *bufsize* means to use the
-   system default, which is usually line buffered for tty devices and fully
-   buffered for other files.  If omitted, the system default is used. [#]_
+unichr(i)
+---------
 
-   Modes ``'r+'``, ``'w+'`` and ``'a+'`` open the file for updating (note that
-   ``'w+'`` truncates the file).  Append ``'b'`` to the mode to open the file in
-   binary mode, on systems that differentiate between binary and text files; on
-   systems that don't have this distinction, adding the ``'b'`` has no effect.
+Return the Unicode string of one character whose Unicode code is the integer i. For example, unichr(97) returns the string u'a'. This is the inverse of ord for Unicode strings. The valid range for the argument depends how Python was configured—it may be either UCS2 [0..0xFFFF] or UCS4 [0..0x10FFFF]. ValueError is raised if i is outside this range. For ASCII and 8-bit strings see chr.
+Version Added: Jython 2.0.
 
-   In addition to the standard :cfunc:`fopen` values *mode* may be ``'U'`` or
-   ``'rU'``.  Python is usually built with universal newline support; supplying
-   ``'U'`` opens the file as a text file, but lines may be terminated by any of the
-   following: the Unix end-of-line convention ``'\n'``,  the Macintosh convention
-   ``'\r'``, or the Windows convention ``'\r\n'``. All of these external
-   representations are seen as ``'\n'`` by the Python program. If Python is built
-   without universal newline support a *mode* with ``'U'`` is the same as normal
-   text mode.  Note that file objects so opened also have an attribute called
-   :attr:`newlines` which has a value of ``None`` (if no newlines have yet been
-   seen), ``'\n'``, ``'\r'``, ``'\r\n'``, or a tuple containing all the newline
-   types seen.
+unicode([object[, encoding [, errors]]])
+----------------------------------------
 
-   Python enforces that the mode, after stripping ``'U'``, begins with ``'r'``,
-   ``'w'`` or ``'a'``.
+Return the Unicode string version of object using one of the following modes:
+If encoding and/or errors are given, unicode() will decode the object which can either be an 8-bit string or a character buffer using the codec for encoding. The encoding parameter is a string giving the name of an encoding; if the encoding is not known, LookupError is raised. Error handling is done according to errors; this specifies the treatment of characters which are invalid in the input encoding. If errors is 'strict' (the default), a ValueError is raised on errors, while a value of 'ignore' causes errors to be silently ignored, and a value of 'replace' causes the official Unicode replacement character, U+FFFD, to be used to replace input characters which cannot be decoded. See also the codecs module.
+If no optional parameters are given, unicode() will mimic the behavior of str() except that it returns Unicode strings instead of 8-bit strings. More precisely, if object is a Unicode string or subclass it will return that Unicode string without any additional decoding applied.
+For objects which provide a __unicode__ method, it will call this method without arguments to create a Unicode string. For all other objects, the 8-bit string version or representation is requested and then converted to a Unicode string using the codec for the default encoding in 'strict' mode.
 
-   Python provides many file handling modules including
-   :mod:`fileinput`, :mod:`os`, :mod:`os.path`, :mod:`tempfile`, and
-   :mod:`shutil`.
+xrange([start,] stop[, step])
+-----------------------------
 
-.. function:: ord(c)
+This function is very similar to range, but returns an “xrange object” instead of a list. This is an opaque sequence type which yields the same values as the corresponding list, without actually storing them all simultaneously. The advantage of xrange over range is minimal (since xrange still has to create the values when asked for them) except when a very large range is used on a memory-starved machine or when all of the range’s elements are never used (such as when the loop is usually terminated with break).
 
-   Given a string of length one, return an integer representing the Unicode code
-   point of the character when the argument is a unicode object, or the value of
-   the byte when the argument is an 8-bit string. For example, ``ord('a')`` returns
-   the integer ``97``, ``ord(u'\u2020')`` returns ``8224``.  This is the inverse of
-   :func:`chr` for 8-bit strings and of :func:`unichr` for unicode objects.  If a
-   unicode argument is given and Python was built with UCS2 Unicode, then the
-   character's code point must be in the range [0..65535] inclusive; otherwise the
-   string length is two, and a :exc:`TypeError` will be raised.
+.. note::
+    
+    xrange is intended to be simple and fast. Implementations may impose restrictions to achieve this. The C implementation of Python restricts all arguments to native C longs ("short" Python integers), and also requires that the number of elements fit in a native C long. If a larger range is needed, an alternate version can be crafted using the itertools module: islice(count(start, step), (stop-start+step-1)//step).
 
 
-.. function:: range([start,] stop[, step])
+Math Built-in Functions
+=======================
 
-   This is a versatile function to create lists containing arithmetic progressions.
-   It is most often used in :keyword:`for` loops.  
+Most math functions are defined in the math (or cmath for complex math) module. The following functions are built in: abs, cmp, divmod, pow, and round.
 
-   However, we recommend the use of xrange instead.
+abs(x)
+------
 
-   The arguments must be plain
-   integers.  If the *step* argument is omitted, it defaults to ``1``.  If the
-   *start* argument is omitted, it defaults to ``0``.  The full form returns a list
-   of plain integers ``[start, start + step, start + 2 * step, ...]``.  If *step*
-   is positive, the last element is the largest ``start + i * step`` less than
-   *stop*; if *step* is negative, the last element is the smallest ``start + i *
-   step`` greater than *stop*.  *step* must not be zero (or else :exc:`ValueError`
-   is raised).  Example:
+Return the absolute value of a number. The argument may be a plain or long integer or a floating point number. If the argument is a complex number, its magnitude is returned.
 
-      >>> range(10)
-      [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
-      >>> range(1, 11)
-      [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
-      >>> range(0, 30, 5)
-      [0, 5, 10, 15, 20, 25]
-      >>> range(0, 10, 3)
-      [0, 3, 6, 9]
-      >>> range(0, -10, -1)
-      [0, -1, -2, -3, -4, -5, -6, -7, -8, -9]
-      >>> range(0)
-      []
-      >>> range(1, 0)
-      []
+cmp(x, y)
+---------
 
-.. function:: set([iterable])
-   :noindex:
+Compare the two objects x and y and return an integer according to the outcome. The return value is negative if x < y, zero if x == y and strictly positive if x > y.
 
-   Return a new set, optionally with elements are taken from *iterable*.
-   The set type is described in :ref:`types-set`.
+divmod(a, b)
+------------
+Take two (noncomplex) numbers as arguments and return a pair of numbers consisting of their quotient and remainder when using long division. With mixed operand types, the rules for binary arithmetic operators apply. For plain and long integers, the result is the same as (a // b, a % b). For floating point numbers the result is (q, a% b), where q is usually math.floor(a / b) but may be 1 less than that. In any case q * b + a % b is very close to a, if a % b is non-zero it has the same sign as b, and 0 <= abs(a % b) < abs(b).
+Changed in Jython 2.5.0: Using divmod() with complex numbers is deprecated.
 
-   For other containers see the built in :class:`dict`, :class:`list`, and
-   :class:`tuple` classes, and the :mod:`collections` module.
+pow(x, y[, z])
+--------------
+Return x to the power y; if z is present, return x to the power y, modulo z (computed more efficiently than pow(x, y) % z). The two-argument form pow(x, y) is equivalent to using the power operator: x**y.
+The arguments must have numeric types. With mixed operand types, the coercion rules for binary arithmetic operators apply. For int and long int operands, the result has the same type as the operands (after coercion) unless the second argument is negative; in that case, all arguments are converted to float and a float result is delivered. For example, 10**2 returns 100, but 10**-2 returns 0.01. If the second argument is negative, the third argument must be omitted. If z is present, x and y must be of integer types, and y must be non-negative. 
 
-   .. versionadded:: 2.4
+round(x[, n])
+-------------
+Return the floating point value x rounded to n digits after the decimal point. If n is omitted, it defaults to zero. The result is a floating point number. Values are rounded to the closest multiple of 10 to the power minus n; if two multiples are equally close, rounding is done away from 0 (for example, round(0.5) is 1.0 and round(-0.5) is -1.0).
 
-.. function:: str([object])
+Functions on Iterables
+======================
 
-   Return a string containing a nicely printable representation of an object.  For
-   strings, this returns the string itself.  The difference with ``repr(object)``
-   is that ``str(object)`` does not always attempt to return a string that is
-   acceptable to :func:`eval`; its goal is to return a printable string.  If no
-   argument is given, returns the empty string, ``''``.
+The next group of built-in functions operate on iterables, which in Jython also includes all Java objects that implement the java.util.Iterator interface.
 
-   For more information on strings see :ref:`typesseq` which describes sequence
-   functionality (strings are sequences), and also the string-specific methods
-   described in the :ref:`string-methods` section. To output formatted strings
-   use template strings or the ``%`` operator described in the
-   :ref:`string-formatting` section. In addition see the :ref:`stringservices`
-   section. See also :func:`unicode`.
+all(iterable)
+-------------
 
-.. function:: tuple([iterable])
+The all() function returns True if all elements of the iterable are true (or if the iterable is empty). It is equivalent to the following:
+::
+    
+    def all(iterable):
+        for element in iterable:
+            if not element:
+                return False
+        return True
 
-   Return a tuple whose items are the same and in the same order as *iterable*'s
-   items.  *iterable* may be a sequence, a container that supports iteration, or an
-   iterator object. If *iterable* is already a tuple, it is returned unchanged.
-   For instance, ``tuple('abc')`` returns ``('a', 'b', 'c')`` and ``tuple([1, 2,
-   3])`` returns ``(1, 2, 3)``.  If no argument is given, returns a new empty
-   tuple, ``()``.
 
-   :class:`tuple` is an immutable sequence type, as documented in
-   :ref:`typesseq`. For other containers see the built in :class:`dict`,
-   :class:`list`, and :class:`set` classes, and the :mod:`collections` module.
+Version Added: 2.5.
 
-.. function:: type(name, bases, dict)
-   :noindex:
+any(iterable)
+-------------
+The any() function returns True if any of the elements of the iterable are true (or False if iterable is empty). It is equivalent to the following:
+::
+    
+    def any(iterable):
+        for element in iterable:
+            if element:
+                return True
+        return False
 
-   Return a new type object.  This is essentially a dynamic form of the
-   :keyword:`class` statement. The *name* string is the class name and becomes the
-   :attr:`__name__` attribute; the *bases* tuple itemizes the base classes and
-   becomes the :attr:`__bases__` attribute; and the *dict* dictionary is the
-   namespace containing definitions for class body and becomes the :attr:`__dict__`
-   attribute.  For example, the following two statements create identical
-   :class:`type` objects:
 
-      >>> class X(object):
-      ...     a = 1
-      ...
-      >>> X = type('X', (object,), dict(a=1))
+Version Added: 2.5.
 
-   .. versionadded:: 2.2
+enumerate(sequence[, start=0])
+------------------------------
+Return an enumerate object. sequence must be a sequence, an iterator, or some other object which supports iteration. The next() method of the iterator returned by enumerate() returns a tuple containing a count (from start which defaults to 0) and the corresponding value obtained from iterating over iterable. enumerate() is useful for obtaining an indexed series: (0, seq[0]), (1, seq[1]), (2, seq[2]), ....
 
-.. function:: unichr(i)
+filter(function, iterable)
+--------------------------
 
-   Return the Unicode string of one character whose Unicode code is the integer
-   *i*.  For example, ``unichr(97)`` returns the string ``u'a'``.  This is the
-   inverse of :func:`ord` for Unicode strings.  The valid range for the argument
-   depends how Python was configured -- it may be either UCS2 [0..0xFFFF] or UCS4
-   [0..0x10FFFF]. :exc:`ValueError` is raised otherwise. For ASCII and 8-bit
-   strings see :func:`chr`.
+Construct a list from those elements of iterable for which function returns true. Iterable may be either a sequence, a container which supports iteration, or an iterator. If iterable is a string or a tuple, the result also has that type; otherwise it is always a list. If function is None, the identity function is assumed, that is, all elements of iterable that are false are removed.
+Note that filter(function, iterable) is equivalent to [item for item in iterable if function(item)] if function is not None and [item for item in iterable if item] if function is  None.
 
-   .. versionadded:: 2.0
+map(function, iterable, ...)
+----------------------------
 
+Apply function to every item of iterable and return a list of the results. If additional iterable arguments are passed, function must take that many arguments and is applied to the items from all iterables in parallel. If one iterable is shorter than another it is assumed to be extended with None items. If function is None, the identity function is assumed; if there are multiple arguments, map() returns a list consisting of tuples containing the corresponding items from all iterables (a kind of transpose operation). The iterable arguments may be a sequence or any iterable object; the result is always a list.
 
-.. function:: unicode([object[, encoding [, errors]]])
+max(iterable[, key])or max([, arg, ...][, key])
+-----------------------------------------------
 
-   Return the Unicode string version of *object* using one of the following modes:
+With a single argument iterable, return the largest item of a non-empty iterable (such as a string, tuple or list). With more than one argument, return the largest of the arguments.
+The optional key argument specifies a one-argument ordering function like that used for list.sort(). The key argument, if supplied, must be in keyword form (for example, max(a,b,c,key=func)).
+Changed in version 2.5: Added support for the optional key argument.
 
-   If *encoding* and/or *errors* are given, ``unicode()`` will decode the object
-   which can either be an 8-bit string or a character buffer using the codec for
-   *encoding*. The *encoding* parameter is a string giving the name of an encoding;
-   if the encoding is not known, :exc:`LookupError` is raised. Error handling is
-   done according to *errors*; this specifies the treatment of characters which are
-   invalid in the input encoding.  If *errors* is ``'strict'`` (the default), a
-   :exc:`ValueError` is raised on errors, while a value of ``'ignore'`` causes
-   errors to be silently ignored, and a value of ``'replace'`` causes the official
-   Unicode replacement character, ``U+FFFD``, to be used to replace input
-   characters which cannot be decoded.  See also the :mod:`codecs` module.
+min(iterable[, key]) or min([, arg, ...][, key])
+------------------------------------------------
 
-   If no optional parameters are given, ``unicode()`` will mimic the behaviour of
-   ``str()`` except that it returns Unicode strings instead of 8-bit strings. More
-   precisely, if *object* is a Unicode string or subclass it will return that
-   Unicode string without any additional decoding applied.
+With a single argument iterable, return the smallest item of a non-empty iterable (such as a string, tuple or list). With more than one argument, return the smallest of the arguments.
+The optional key argument specifies a one-argument ordering function like that used for list.sort(). The key argument, if supplied, must be in keyword form (for example, min(a,b,c,key=func)).
+Changed in version 2.5: Added support for the optional key argument.
 
-   For objects which provide a :meth:`__unicode__` method, it will call this method
-   without arguments to create a Unicode string. For all other objects, the 8-bit
-   string version or representation is requested and then converted to a Unicode
-   string using the codec for the default encoding in ``'strict'`` mode.
+reduce(function, iterable[, initializer])
+-----------------------------------------
 
-   For more information on Unicode strings see :ref:`typesseq` which describes
-   sequence functionality (Unicode strings are sequences), and also the
-   string-specific methods described in the :ref:`string-methods` section. To
-   output formatted strings use template strings or the ``%`` operator described
-   in the :ref:`string-formatting` section. In addition see the
-   :ref:`stringservices` section. See also :func:`str`.
+Apply function of two arguments cumulatively to the items of iterable, from left to right, so as to reduce the iterable to a single value. For example, reduce(lambda x,y: x+y, [1, 2, 3, 4, 5]) calculates ((((1+2)+3)+4)+5). The left argument, x, is the accumulated value and the right argument, y, is the update value from the iterable. If the optional initializer is present, it is placed before the items of the iterable in the calculation, and serves as a default when the iterable is empty. If initializer is not given and iterable contains only one item, the first item is returned.
 
+reversed(seq)
+-------------
 
-Use as decorators:
-classmethod, staticmethod, property
+Return a reverse iterator (An iterator which gives you the elements of seq in reverse order). The argument seq must be an object which has a __reversed__ method or supports the sequence protocol (the __len__ method and the __getitem__ method with integer arguments starting at 0).
+Version Added: CPython 2.4, Jython 2.5.
 
-``slice`` is rarely used directly.
+sorted(iterable[, cmp[, key[, reverse]]])
+-----------------------------------------
+The sorted function returns a sorted list. Use the optional key argument to specify a key function to control how it’s sorted. So for example, this will sort the list by the length of the elements in it:
+::
+    
+    >>> sorted(['Massachusetts', 'Colorado', 'New York', 'California', 'Utah'], key=len)
+    ['Utah', 'Colorado', 'New York', 'California', 'Massachusetts']
 
-super
-type - 3 arg form
-compile
+And this one will sort a list of Unicode strings without regard to it whether the characters are upper or lowercase:
+::
+    
+    >>> sorted(['apple', 'Cherry', 'banana'], key=str.upper)
+    ['apple', 'banana', 'Cherry']
 
+Although using a key function requires building a decorated version of the list to be sorted, in practice this uses substantially less overhead than calling a cmp function on every comparison. We recommend you take advantage of a keyed sort.
 
-Math Builtin Functions
+sum(iterable[, start=0])
+------------------------
+
+Sums start and the items of an iterable from left to right and returns the total. start defaults to 0. The iterable‘s items are normally numbers, and are not allowed to be strings. The fast, correct way to concatenate a sequence of strings is by calling ''.join(sequence). Note that sum(range(n), m) is equivalent to reduce(operator.add, range(n), m) To add floating point values with extended precision, see math.fsum().
+
+zip([iterable, ...])
+--------------------
+
+This function returns a list of tuples, where the i-th tuple contains the i-th element from each of the argument sequences or iterables. The returned list is truncated in length to the length of the shortest argument sequence. When there are multiple arguments which are all of the same length, zip is similar to map with an initial argument of None. With a single sequence argument, it returns a list of 1-tuples. With no arguments, it returns an empty list.
+The left-to-right evaluation order of the iterables is guaranteed. This makes possible an idiom for clustering a data series into n-length groups using zip(*[iter(s)]*n).
+zip in conjunction with the * operator can be used to unzip a list:
+::
+
+    >>> x = [1, 2, 3]
+    >>> y = [4, 5, 6]
+    >>> zipped = zip(x, y)
+    >>> zipped
+    [(1, 4), (2, 5), (3, 6)]
+    >>> x2, y2 = zip(*zipped)
+    >>> x == x2, y == y2
+    True
+
+Version Added: 2.0.
+Version Changed: CPython 2.4, Jython 2.5.
+Formerly, zip required at least one argument and zip() raised a TypeError instead of returning an empty list.
+
+..note ::
+    
+    Although filter, map, and reduce are still useful, their use is largely superseded by using other functions, in conjunction with generator expressions. The range function is still useful for creating a list of a given sequence, but for portability eventually to Python 3.x, using list(xrange()) instead is better.
+    
+    Some advice:
+    Generator expressions (or list comprehensions) are easier to use than filter.
+    Most interesting but simple uses of reduce can be implemented through sum. And anything more complex should likely be written as a generator.
+
+
+Conversion Functions
+====================
+
+hex(x)
+------
+Convert an integer number (of any size) to a hexadecimal string. The result is a valid Python expression.
+Version Changed:  CPython 2.4, Jython 2.5.
+Formerly only returned an unsigned literal.
+
+long([x[, radix]])
+------------------
+Convert a string or number to a long integer. If the argument is a string, it must contain a possibly signed number of arbitrary size, possibly embedded in whitespace. The radix argument is interpreted in the same way as for int, and may only be given when x is a string. Otherwise, the argument may be a plain or long integer or a floating point number, and a long integer with the same value is returned. Conversion of floating point numbers to integers truncates (towards zero). If no arguments are given, returns 0L.
+
+oct(x)
+------
+Convert an integer number (of any size) to an octal string. The result is a valid Python expression.
+Version Changed: CPython 2.4, Jython 2.5.
+Formerly only returned an unsigned literal.
+
+ord(c)
+------
+
+Given a string of length one, return an integer representing the Unicode code point of the character when the argument is a unicode object, or the value of the byte when the argument is an 8-bit string. For example, ord('a') returns the integer 97, ord(u'\u2020') returns 8224. This is the inverse of chr for 8-bit strings and of unichr for unicode objects. If a unicode argument is given and Python was built with UCS2 Unicode, then the character's code point must be in the range [0..65535] inclusive; otherwise the string length is two, and a TypeError will be raised.
+
+Functions for Working with Code
+===============================
+
+classmethod(function)
+---------------------
+
+Return a class method for function.
+A class method receives the class as implicit first argument, just like an instance method receives the instance. To declare a class method, use this idiom:
+::
+    
+    class C:
+        @classmethod
+        def f(cls, arg1, arg2, ...): ...
+
+The @classmethod form is a function decorator. See the description of function decorators in Chapter 4 for details.
+It can be called either on the class (such as C.f()) or on an instance (such as C().f()). The instance is ignored except for its class. If a class method is called for a derived class, the derived class object is passed as the implied first argument.
+Class methods are different than C++ or Java static methods. If you want those, see staticmethod in this section.
+Version Added: 2.2.
+Version Changed: CPython 2.4, Jython 2.5.
+Function decorator syntax added.
+
+compile(source, filename, mode[, flags[, dont_inherit]])
+--------------------------------------------------------
+
+Compile the source into a code or AST object. Code objects can be executed by an exec statement or evaluated by a call to eval. source can either be a string or an AST object. Refer to the ast module documentation for information on how to work with AST objects.
+The filename argument should give the file from which the code was read; pass some recognizable value if it wasn't read from a file ('<string>' is commonly used).
+The mode argument specifies what kind of code must be compiled; it can be 'exec' if source consists of a sequence of statements, 'eval' if it consists of a single expression, or 'single' if it consists of a single interactive statement (in the latter case, expression statements that evaluate to something other than None will be printed).
+The optional arguments flags and dont_inherit control which future statements (see PEP 236) affect the compilation of source. If neither is present (or both are zero) the code is compiled with those future statements that are in effect in the code that is calling compile. If the flags argument is given and dont_inherit is not (or is zero) then the future statements specified by the flags argument are used in addition to those that would be used anyway. If dont_inherit is a non-zero integer then the flags argument is it. The future statements in effect around the call to compile are ignored.
+Future statements are specified by bits which can be bitwise ORed together to specify multiple statements. The bitfield required to specify a given feature can be found as the compiler_flag attribute on the _Feature instance in the __future__ module.
+This function raises SyntaxError if the compiled source is invalid, and TypeError if the source contains null bytes.
+
+.. note::
+    
+    When compiling a string with multi-line statements, line endings must be represented by a single newline character ('\n'), and the input must be terminated by at least one newline character. If line endings are represented by '\r\n', use str.replace to change them into '\n'.
+
+Version Changed: CPython 2.3, Jython 2.5.
+The flags and dont_inherit arguments were added.
+
+eval(expression[, globals[, locals]])
+-------------------------------------
+
+The arguments are a string and optional globals and locals. If provided, globals must be a dictionary. If provided, locals can be any mapping object.
+The expression argument is parsed and evaluated as a Python expression (technically speaking, a condition list) using the globals and locals dictionaries as global and local namespace. If the globals dictionary is present and lacks '__builtins__', the current globals are copied into globals before expression is parsed. This means that expression normally has full access to the standard __builtin__ module and restricted environments are propagated. If the locals dictionary is omitted it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed in the environment where eval is called. The return value is the result of the evaluated expression. Syntax errors are reported as exceptions. Example:
+::
+    
+    >>> x = 1
+    >>> print eval('x+1')
+    2
+
+This function can also be used to execute arbitrary code objects (such as those created by compile). In this case pass a code object instead of a string. If the code object has been compiled with 'exec' as the kind argument, eval’s return value will be None.
+
+.. note:: Hints
+    
+    Dynamic execution of statements is supported by the exec statement. Execution of statements from a file is supported by the execfile function. The globals and locals functions return the current global and local dictionary, respectively, which may be useful to pass around for use by eval or execfile.
+
+Version Changed: CPython 2.4, Jython 2.5.
+Formerly, locals was required to be a dictionary.
+
+execfile(filename[, globals[, locals]])
+---------------------------------------
+This function is similar to the exec statement, but parses a file instead of a string. It is different from the import statement in that it does not use the module administration: it reads the file unconditionally and does not create a new module.
+The arguments are a file name and two optional dictionaries. The file is parsed and evaluated as a sequence of Python statements (similarly to a module) using the globals and locals dictionaries as global and local namespace. If provided, locals can be any mapping object.
+If the locals dictionary is omitted it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed in the environment where execfile is called. The return value is None.
+Version Changed: CPython 2.4, Jython 2.5.
+Formerly, locals was required to be a dictionary.
+
+.. note:: Warning
+    
+    The default locals act as described for function locals below: modifications to the default locals dictionary should not be attempted. Pass an explicit locals dictionary if you need to see effects of the code on locals after function execfile returns. execfile cannot be used reliably to modify a function’s locals.
+
+property([fget[, fset[, fdel[, doc]]]])
+---------------------------------------
+
+Return a property attribute for new-style classes (classes that derive from object).
+fget is a function for getting an attribute value, likewise fset is a function for setting, and fdel a function for del'ing, an attribute. Typical use is to define a managed attribute x:
+
+::
+    
+    class C(object):
+        def __init__(self):
+            self._x = None
+    
+        def getx(self):
+            return self._x
+        def setx(self, value):
+            self._x = value
+        def delx(self):
+            del self._x
+        x = property(getx, setx, delx, "I'm the 'x' property.")
+
+If given, doc will be the docstring of the property attribute. Otherwise, the property will copy fget’s docstring (if it exists). This makes it possible to create read-only properties easily using property as a decorator:
+
+::
+    
+    class Parrot(object):
+        def __init__(self):
+            self._voltage = 100000
+    
+        @property
+        def voltage(self):
+            """Get the current voltage."""
+            return self._voltage
+
+turns the voltage method into a “getter” for a read-only attribute with the same name.
+A property object has getter, setter, and deleter methods usable as decorators that create a copy of the property with the corresponding accessor function set to the decorated function. This is best explained with an example:
+
+::
+    
+    class C(object):
+        def __init__(self):
+            self._x = None
+    
+        @property
+        def x(self):
+            """I'm the 'x' property."""
+            return self._x
+    
+        @x.setter
+        def x(self, value):
+            self._x = value
+    
+        @x.deleter
+        def x(self):
+            del self._x
+
+This code is exactly equivalent to the first example. Be sure to give the additional functions the same name as the original property (x in this case.)
+The returned property also has the attributes fget, fset, and fdel corresponding to the constructor arguments.
+Version Added: 2.2.
+Version Changed: 2.5.
+
+staticmethod(function)
 ----------------------
 
-Most math functions are defined in ``math`` (or ``cmath`` for complex math). These are functions that are builtin:
+Return a static method for function.
+A static method does not receive an implicit first argument. To declare a static method, use this idiom:
+::
+    
+    class C:
+        @staticmethod
+        def f(arg1, arg2, ...): ...
 
-abs, cmp, divmod, pow, round
+The @staticmethod form is a function decorator. See the description of function definitions in Chapter 4 for details.
+It can be called either on the class (such as C.f()) or on an instance (such as C().f()). The instance is ignored except for its class.
+Static methods in Python are similar to those found in Java or C++. For a more advanced concept, see classmethod in this section.
+Version Added: 2.2.
+Version Changed: CPython 2.4, Jython 2.5.
+Function decorator syntax added.
 
-You may need to use named functions 
+super(type[, object-or-type])
+------------------------------
 
+Return a proxy object that delegates method calls to a parent or sibling class of type. This is useful for accessing inherited methods that have been overridden in a class. The search order is same as that used by getattr except that the type itself is skipped.
+The __mro__ attribute of the type lists the method resolution search order used by both getattr and super. The attribute is dynamic and can change whenever the inheritance hierarchy is updated.
+If the second argument is omitted, the super object returned is unbound. If the second argument is an object, isinstance(obj, type) must be true. If the second argument is a type, issubclass(type2, type) must be true (this is useful for classmethods).
 
-Functions on Iterables
-----------------------
+.. note::
+    
+    Super only works for new-style classes.
 
-The next group of builtin functions operate on iterables, which in
-Jython also includes all Java objects that implement the
-``java.util.Iterator`` interface.
+There are two typical use cases for super. In a class hierarchy with single inheritance, super can be used to refer to parent classes without naming them explicitly, thus making the code more maintainable. This use closely parallels the use of super in other programming languages.
+The second use case is to support cooperative multiple inheritance in a dynamic execution environment. This use case is unique to Python and is not found in statically compiled languages or languages that only support single inheritance. This makes it possible to implement “diamond diagrams” where multiple base classes implement the same method. Good design dictates that this method have the same calling signature in every case (because the order of calls is determined at runtime, because that order adapts to changes in the class hierarchy, and because that order can include sibling classes that are unknown prior to runtime).
+For both use cases, a typical superclass call looks like this:
+::
+    
+    class C(B):
+        def method(self, arg):
+            super(C, self).method(arg)
 
-In particular,
+Note that super is implemented as part of the binding process for explicit dotted attribute lookups such as super().__getitem__(name). It does so by implementing its own __getattribute__ method for searching classes in a predictable order that supports cooperative multiple inheritance. Accordingly, super is undefined for implicit lookups using statements or operators such as super()[name].
+Also note that super is not limited to use inside methods. The two argument form specifies the arguments exactly and makes the appropriate references.
 
-.. function:: enumerate(iterable)
+Version Added: 2.2.
 
-.. function:: zip([,iterable, ...])
+Input Functions
+===============
 
-The ``zip`` function creates a list of tuples by stepping through each
-*iterable*. One very common idiom is to use ``zip`` to create a
-``dict`` where one iterable has the keys, and the other the
-values. This is often seen in working with CSV files (from a header
-row) or database cursors (from the ``description``
-attribute). However, you might want to consider using
-``collections.namedtuple`` instead::
+input([prompt])
+---------------
+Equivalent to eval(raw_input(prompt)).
 
- 
-.. function:: sorted(iterable[, cmp[, key[, reverse]]])
+.. note:: Warning
+    
+    This function is not safe from user errors! It expects a valid Python expression as input; if the input is not syntactically valid, a SyntaxError will be raised. Other exceptions may be raised if there is an error during evaluation. (On the other hand, sometimes this is exactly what you need when writing a quick script for expert use.)
 
-The ``sorted`` function returns a sorted list. Use the optional *key*
-argument to specify a key function to control how it's sorted. So for
-example, this will sort the list by the length of the elements in it::
-  
-  >>> sorted(['Massachusetts', 'Colorado', 'New York', 'California', 'Utah'], key=len)
-  ['Utah', 'Colorado', 'New York', 'California', 'Massachusetts']
+If the readline module was loaded, then input will use it to provide elaborate line editing and history features.
+Consider using the raw_input function for general input from users.
 
-And this one will sort a list of Unicode strings without regard to it
-whether the characters are upper or lowercase::
+raw_input([prompt])
+-------------------
 
-  >>> sorted(['apple', 'Cherry', 'banana'])
-  ['Cherry', 'apple', 'banana']
+If the prompt argument is present, it is written to standard output without a trailing newline. The function then reads a line from input, converts it to a string (stripping a trailing newline), and returns that. When EOF is read, EOFError is raised. Here’s an example:
+::
+    
+    >>> s = raw_input('--> ')
+    --> Monty Python's Flying Circus
+    >>> s
+    "Monty Python's Flying Circus"
 
-  >>> sorted(['apple', 'Cherry', 'banana'], key=str.upper)
-  ['apple', 'banana', 'Cherry']
+If the readline module was loaded, then raw_input will use it to provide elaborate line editing and history features.
 
-Although using a *key* function requires building a decorated version
-of the list to be sorted, in practice this uses substantially less
-overhead than calling a *cmp* function on every comparison. We
-recommend you take advantage of a keyed sort.
+Functions for Working with Modules and Objects
+==============================================
 
-.. function:: all(iterable), any(iterable)
+callable(object)
+----------------
 
-``all`` and ``any`` will also short cut, if possible.
+Return True if the object argument appears callable, False if not. If this returns true, it is still possible that a call fails, but if it is false, calling object will never succeed. Note that classes are callable (calling a class returns a new instance); class instances are callable if they have a __call__ method.
 
+delattr(object, name)
+---------------------
 
-and sum(iterable[, start=0]) are functions that you
-will find frequent use for. 
+This is a relative of setattr. The arguments are an object and a string. The string must be the name of one of the object's attributes. The function deletes the named attribute, provided the object allows it. For example, delattr(x, 'foobar') is equivalent to del x.foobar.
 
-.. function:: max(iterable[, key]) or max([, arg, ...][, key]); min(iterable[, key]) or min([, arg, ...][, key])
+dir([object])
+-------------
+Without arguments, return the list of names in the current local scope. With an argument, attempt to return a list of valid attributes for that object.
 
-The ``max`` and ``min`` functions
-take a *key* function as an optional argument.
+If the object has a method named __dir__, this method will be called and must return the list of attributes. This allows objects that implement a custom __getattr__ or __getattribute__ function to customize the way dir reports their attributes.
 
+If the object does not provide __dir__, the function tries its best to gather information from the object's __dict__ attribute, if defined, and from its type object. The resulting list is not necessarily complete, and may be inaccurate when the object has a custom __getattr__.
 
-Although ``filter``, ``map``, and ``reduce`` are still useful, their
-use is largely superseded by using other functions, in conjunction
-with generator expressions. The ``range`` function is still useful for
-creating a list of a given sequence, but for portability eventualy to
-Python 3.x, using ``list(xrange())`` instead is better.
+The default dir mechanism behaves differently with different types of objects, as it attempts to produce the most relevant, rather than complete, information:
 
-Some advice:
+* If the object is a module object, the list contains the names of the module’s attributes.
 
- * Generator expressions (or list comprehensions) are easier to use
-   than ``filter``.
+* If the object is a type or class object, the list contains the names of its attributes, and recursively of the attributes of its bases.
 
- * Most interesting but simple uses of ``reduce`` can be implemented
-   through ``sum``. And anything more complex should likely be written
-   as a generator.
+* Otherwise, the list contains the object’s attributes’ names, the names of its class’ attributes, and recursively of the attributes of its class’ base classes.
 
+The resulting list is sorted alphabetically. For example:
+::
+    
+    >>> import struct
+    >>> dir()   # doctest: +SKIP
+    ['__builtins__', '__doc__', '__name__', 'struct']
+    >>> dir(struct)   # doctest: +NORMALIZE_WHITESPACE
+    ['Struct', '__builtins__', '__doc__', '__file__', '__name__',
+     '__package__', '_clearcache', 'calcsize', 'error', 'pack', 'pack_into',
+     'unpack', 'unpack_from']
+    >>> class Foo(object):
+    ...     def __dir__(self):
+    ...         return ["kan", "ga", "roo"]
+    ...
+    >>> f = Foo()
+    >>> dir(f)
+    ['ga', 'kan', 'roo']
 
-.. function:: all(iterable)
+.. note::
+    
+    Because dir is supplied primarily as a convenience for use at an interactive prompt, it tries to supply an interesting set of names more than it tries to supply a rigorously or consistently defined set of names, and its detailed behavior may change across releases. For example, metaclass attributes are not in the result list when the argument is a class.
 
-Returns True if all of the elements in the iterable are true,
-otherwise False and stop the iteration. (If the iterable is empty,
-this function returns True).
+getattr(object, name[, default])
+--------------------------------
 
-.. function:: any(iterable)
+Return the value of the named attribute of object. name must be a string. If the string is the name of one of the object’s attributes, the result is the value of that attribute. For example, getattr(x, 'foobar') is equivalent to x.foobar. If the named attribute does not exist, default is returned if provided, otherwise AttributeError is raised.
 
-Returns True if any of the elements in the iterable are true, stopping the iteration.
-Otherwise returns False and stop the iteration. (If the iterable is empty,
-this function returns True).
+globals()
+---------
 
-.. function:: enumerate(iterable)
+Return a dictionary representing the current global symbol table. This is always the dictionary of the current module (inside a function or method, this is the module where it is defined, not the module from which it is called).
 
-.. function:: filter(function, iterable)
+hasattr(object, name)
+---------------------
 
+The arguments are an object and a string. The result is True if the string is the name of one of the object’s attributes, False if not. (This is implemented by calling getattr(object, name) and seeing whether it raises an exception or not.)
 
-.. function:: sum(iterable[, start=0])
+.. note::
+    
+    Java dynamic integration: The supporting special method for getattr is __getattr__. When Jython code is compiled, it actually uses __getattr__ for implementing attribute lookup. So x.y.z is actually compiled to the equivalent chain of x.__getattr__('y').__getattr__('z'). Alternatively for more efficient Java integration, __findattr__ is supported. It returns null instead of throwing an AttributeError if the attribute is not part of a given object. But use __getattr__ if you are going to be chaining method calls together so as to maintain Python exception handling semantics.
+    
+    If the given Jython class implements a Java interface (or extends a Java class, which is the less preferable case in Jython as it is in Java in general), then Java code that uses such instances can statically bind method lookup.
+    
+    [The Clamp project supports an alternate way of exposing Java interfaces, such that the interfaces are created from Jython code. We’re not certain about this approach as a best practice however. Java interfaces in Java are quite precise with respect to interoperability. Other parts are useful, such as AOT compilation of Java proxies for Jython classes.]
 
+hash(object)
+------------
+Return the hash value of the object (if it has one). Hash values are integers. They are used to quickly compare dictionary keys during a dictionary lookup. Numeric values that compare equal have the same hash value (even if they are of different types, as is the case for 1 and 1.0).
 
-Namespace Functions
--------------------
-namespace - __import__, delattr, dir, getattr, locals, globals, hasattr, reload, setattr, vars
+help([object])
+--------------
+Invoke the built-in help system. (This function is intended for interactive use.) If no argument is given, the interactive help system starts on the interpreter console. If the argument is a string, then the string is looked up as the name of a module, function, class, method, keyword, or documentation topic, and a help page is printed on the console. If the argument is any other kind of object, a help page on the object is generated.
+This function is added to the built-in namespace by the site module. For more information on the site module, take a look at the Python documentation http://docs.python.org/library/site.html#module-site.
 
-getattr
+Version Added: 2.2.
 
-.. sidebar::
-  
-  Java dynamic integration. the supporting special method for getattr
-  is __getattr__. When Jython code is compiled, it actually uses
-  __getattr__ for implementing attribute lookup. So x.y.z is actually
-  compiled to the equivalent chain of
-  x.__getattr__('y').__getattr__('z'). Alternatively for more
-  efficient Java integration, __findattr__ is supported. It returns
-  null instead of throwing an AttributeError if the attribute is not
-  part of a given object. But use __getattr__ if you are going to be
-  chaining method calls together so as to maintain Python exception
-  handling semantics.
+id(object)
+----------
 
-  If the given Jython class implements a Java interface (or extends a
-  Java class, but this is the less preferrable case in Jython as it is
-  in Java in general), then Java code that uses such instances can
-  statically bind method lookup.
+Return the “identity” of an object. This is an integer (or long integer) which is guaranteed to be unique and constant for this object during its lifetime. Two objects with non-overlapping lifetimes may have the same id value. (Implementation note: this is the address of the object.)
 
-  [The Clamp project supports an alternate way of exposing Java
-  interfaces, such that the interfaces are created from Jython
-  code. I'm not so certain about this approach as a best practice
-  however. Java interfaces in Java are quite precise with respect to
-  interoperability. Other parts are useful, such as AOT compilation of
-  Java proxies for Jython classes.]
+isinstance(object, classinfo)
+-----------------------------
 
+Return true if the object argument is an instance of the classinfo argument, or of a (direct or indirect) subclass thereof. Also return true if classinfo is a type object (new-style class) and object is an object of that type or of a (direct or indirect) subclass thereof. If object is not a class instance or an object of the given type, the function always returns false. If classinfo is neither a class object nor a type object, it may be a tuple of class or type objects, or may recursively contain other such tuples (other sequence types are not accepted). If classinfo is not a class, type, or tuple of classes, types, and such tuples, a TypeError exception is raised.
 
-compile, eval, exec
-Creating code objects.
+Version Changed: 2.2.
 
-evaluation - eval, execfile, 
-predicates - callable, isinstance, issubclass 
-hex, oct, id, hash, ord, repr
-len
-input, rawinput
+Support for a tuple of type information was added.
 
-Just refer to the documentation on these:
-deprecated functions - apply, buffer, coerce, intern ...
+issubclass(class, classinfo)
+----------------------------
 
-Operators
+Return true if class is a subclass (direct or indirect) of classinfo. A class is considered a subclass of itself. classinfo may be a tuple of class objects, in which case every entry in classinfo will be checked. In any other case, a TypeError exception is raised.
 
+Version Changed: CPython 2.3, Jython 2.5.
 
+Support for a tuple of type information was added.
 
-.. function:: abs(x)
+len(s)
+------
+Return the length (the number of items) of an object. The argument may be a sequence (string, tuple or list) or a mapping (dictionary).
 
-   Return the absolute value of a number.  The argument may be a plain or long
-   integer or a floating point number.  If the argument is a complex number, its
-   magnitude is returned.
+locals()
+--------
 
+Update and return a dictionary representing the current local symbol table.
 
-.. function:: all(iterable)
+.. note::Warning
+    
+    The contents of this dictionary should not be modified; changes may not affect the values of local variables used by the interpreter.
 
-   Return True if all elements of the *iterable* are true. Equivalent to::
+Free variables are returned by locals when it is called in a function block. Modifications of free variables may not affect the values used by the interpreter. Free variables are not returned in class blocks.
 
-      def all(iterable):
-          for element in iterable:
-              if not element:
-                  return False
-          return True
+reload(module)
+--------------
 
-   .. versionadded:: 2.5
+Reload a previously imported module. The argument must be a module object, so it must have been successfully imported before. This is useful if you have edited the module source file using an external editor and want to try out the new version without leaving the Python interpreter. The return value is the module object (the same as the module argument).
 
+When reload(module) is executed:
 
-.. function:: any(iterable)
+    * Python modules’ code is recompiled and the module-level code reexecuted, defining a new set of objects which are bound to names in the module's dictionary. The init function of extension modules is not called a second time.
+    
+    * As with all other objects in Python the old objects are only reclaimed after their reference counts drop to zero in CPython. However, in Jython once the object is no longer in use then it becomes garbage collected.
+    
+    * The names in the module namespace are updated to point to any new or changed objects.
+    
+    * Other references to the old objects (such as names external to the module) are not rebound to refer to the new objects and must be updated in each namespace where they occur if that is desired.
 
-   Return True if any element of the *iterable* is true. Equivalent to::
+There are a number of other caveats: if a module is syntactically correct but its initialization fails, the first import statement for it does not bind its name locally, but does store a (partially initialized) module object in sys.modules. To reload the module you must first import it again (this will bind the name to the partially initialized module object) before you can reload it.
 
-      def any(iterable):
-          for element in iterable:
-              if element:
-                  return True
-          return False
+When a module is reloaded, its dictionary (containing the module's global variables) is retained. Redefinitions of names will override the old definitions, so this is generally not a problem. If the new version of a module does not define a name that was defined by the old version, the old definition remains. This feature can be used to the module’s advantage if it maintains a global table or cache of objects. With a try statement it can test for the table’s presence and skip its initialization if desired:
+::
+    
+    try:
+        cache
+    except NameError:
+        cache = {}
 
-   .. versionadded:: 2.5
+It is legal though generally not very useful to reload built-in or dynamically loaded modules, except for sys, __main__ and __builtin__. In many cases, however, extension modules are not designed to be initialized more than once, and may fail in arbitrary ways when reloaded.
+If a module imports objects from another module using from ... import ..., calling reload for the other module does not redefine the objects imported from it. One way around this is to re-execute the from statement, another is to use import and qualified names (module.*name*) instead.
+If a module instantiates instances of a class, reloading the module that defines the class does not affect the method definitions of the instances: they continue to use the old class definition. The same is true for derived classes.
 
+repr(object)
+------------
 
-.. function:: basestring()
+Return a string containing a printable representation of an object. This is the same value yielded by conversions (reverse quotes). It is sometimes useful to be able to access this operation as an ordinary function. For many types, this function makes an attempt to return a string that would yield an object with the same value when passed to eval, otherwise the representation is a string enclosed in angle brackets that contains the name of the type of the object together with additional information often including the name and address of the object. A class can control what this function returns for its instances by defining a __repr__ method.
 
-   This abstract type is the superclass for :class:`str` and :class:`unicode`. It
-   cannot be called or instantiated, but it can be used to test whether an object
-   is an instance of :class:`str` or :class:`unicode`. ``isinstance(obj,
-   basestring)`` is equivalent to ``isinstance(obj, (str, unicode))``.
+setattr(object, name, value)
+----------------------------
 
-   .. versionadded:: 2.3
+This is the counterpart of getattr. The arguments are an object, a string and an arbitrary value. The string may name an existing attribute or a new attribute. The function assigns the value to the attribute, provided the object allows it. For example, setattr(x, 'foobar', 123) is equivalent to x.foobar = 123.
 
+type(object)
+------------
 
-.. function:: bin(x)
+Return the type of an object. The return value is a type object. The isinstance built-in function is recommended for testing the type of an object.
 
-   Convert an integer number to a binary string. The result is a valid Python
-   expression.  If *x* is not a Python :class:`int` object, it has to define an
-   :meth:`__index__` method that returns an integer.
+With three arguments, type functions as a constructor as detailed earlier in this appendix.
 
-   .. versionadded:: 2.6
+vars([object])
+--------------
 
+Without arguments, return a dictionary corresponding to the current local symbol table. With a module, class or class instance object as argument (or anything else that has a __dict__ attribute), returns a dictionary corresponding to the object's symbol table.
 
+.. note::Warning
+    
+    The returned dictionary should not be modified: the effects on the corresponding symbol table are undefined.
 
-.. function:: callable(object)
 
-   Return :const:`True` if the *object* argument appears callable,
-   :const:`False` if not.  If this
-   returns true, it is still possible that a call fails, but if it is false,
-   calling *object* will never succeed.  Note that classes are callable (calling a
-   class returns a new instance); class instances are callable if they have a
-   :meth:`__call__` method.
+__import__(name[, globals[, locals[, fromlist[, level]]]])
+----------------------------------------------------------
 
+.. note::
+    
+    This is an advanced function that is not needed in everyday Python programming.
 
 
-.. function:: classmethod(function)
+This function is invoked by the import statement. It can be replaced (by importing the builtins module and assigning to builtins.__import__) in order to change semantics of the import statement, but nowadays it is usually simpler to use import hooks (see PEP 302). Direct use of __import__ is rare, except in cases where you want to import a module whose name is only known at runtime.
+The function imports the module name, potentially using the given globals and locals to determine how to interpret the name in a package context. The fromlist gives the names of objects or submodules that should be imported from the module given by name. The standard implementation does not use its locals argument at all, and uses its globals only to determine the package context of the import statement.
+level specifies whether to use absolute or relative imports. The default is -1 which indicates both absolute and relative imports will be attempted. 0 means only perform absolute imports. Positive values for level indicate the number of parent directories to search relative to the directory of the module calling __import__.
+When the name variable is of the form package.module, normally, the top-level package (the name up till the first dot) is returned, not the module named by name. However, when a non-empty fromlist argument is given, the module named by name is returned.
 
-   Return a class method for *function*.
+For example, the statement import spam results in bytecode resembling the following code:
 
-   A class method receives the class as implicit first argument, just like an
-   instance method receives the instance. To declare a class method, use this
-   idiom::
+::
+    
+    spam = __import__('spam', globals(), locals(), [], -1)
 
-      class C:
-          @classmethod
-          def f(cls, arg1, arg2, ...): ...
+The statement import spam.ham results in this call:
+::
+    
+    spam = __import__('spam.ham', globals(), locals(), [], -1)
 
-   The ``@classmethod`` form is a function :term:`decorator` -- see the description
-   of function definitions in :ref:`function` for details.
+Note how __import__ returns the toplevel module here because this is the object that is bound to a name by the import statement.
 
-   It can be called either on the class (such as ``C.f()``) or on an instance (such
-   as ``C().f()``).  The instance is ignored except for its class. If a class
-   method is called for a derived class, the derived class object is passed as the
-   implied first argument.
+On the other hand, the statement from spam.ham import eggs, sausage as saus results in:
+::
+    
+    _temp = __import__('spam.ham', globals(), locals(), ['eggs', 'sausage'], -1)
+    eggs = _temp.eggs
+    saus = _temp.sausage
 
-   Class methods are different than C++ or Java static methods. If you want those,
-   see :func:`staticmethod` in this section.
+Here, the spam.ham module is returned from __import__. From this object, the names to import are retrieved and assigned to their respective names.
+If you simply want to import a module (potentially within a package) by name, you can get it from sys.modules:
 
-   For more information on class methods, consult the documentation on the standard
-   type hierarchy in :ref:`types`.
+::
+    
+    >>> import sys
+    >>> name = 'foo.bar.baz'
+    >>> __import__(name)
+    <module 'foo' from ...>
+    >>> baz = sys.modules[name]
+    >>> baz
+    <module 'foo.bar.baz' from ...>
 
-   .. versionadded:: 2.2
+Version Changed: 2.5.
 
-   .. versionchanged:: 2.4
-      Function decorator syntax added.
+The level parameter was added.
 
+Version Changed: 2.5.
 
-.. function:: cmp(x, y)
+Keyword support for parameters was added.
 
-   Compare the two objects *x* and *y* and return an integer according to the
-   outcome.  The return value is negative if ``x < y``, zero if ``x == y`` and
-   strictly positive if ``x > y``.
-
-
-.. function:: compile(source, filename, mode[, flags[, dont_inherit]])
-
-   Compile the *source* into a code or AST object.  Code objects can be executed
-   by an :keyword:`exec` statement or evaluated by a call to :func:`eval`.
-   *source* can either be a string or an AST object.  Refer to the :mod:`ast`
-   module documentation for information on how to work with AST objects.
-
-   The *filename* argument should give the file from which the code was read;
-   pass some recognizable value if it wasn't read from a file (``'<string>'`` is
-   commonly used).
-
-   The *mode* argument specifies what kind of code must be compiled; it can be
-   ``'exec'`` if *source* consists of a sequence of statements, ``'eval'`` if it
-   consists of a single expression, or ``'single'`` if it consists of a single
-   interactive statement (in the latter case, expression statements that
-   evaluate to something else than ``None`` will be printed).
-
-   The optional arguments *flags* and *dont_inherit* control which future
-   statements (see :pep:`236`) affect the compilation of *source*.  If neither
-   is present (or both are zero) the code is compiled with those future
-   statements that are in effect in the code that is calling compile.  If the
-   *flags* argument is given and *dont_inherit* is not (or is zero) then the
-   future statements specified by the *flags* argument are used in addition to
-   those that would be used anyway. If *dont_inherit* is a non-zero integer then
-   the *flags* argument is it -- the future statements in effect around the call
-   to compile are ignored.
-
-   Future statements are specified by bits which can be bitwise ORed together to
-   specify multiple statements.  The bitfield required to specify a given feature
-   can be found as the :attr:`compiler_flag` attribute on the :class:`_Feature`
-   instance in the :mod:`__future__` module.
-
-   This function raises :exc:`SyntaxError` if the compiled source is invalid,
-   and :exc:`TypeError` if the source contains null bytes.
-
-   .. note::
-
-      When compiling a string with multi-line statements, line endings must be
-      represented by a single newline character (``'\n'``), and the input must
-      be terminated by at least one newline character.  If line endings are
-      represented by ``'\r\n'``, use :meth:`str.replace` to change them into
-      ``'\n'``.
-
-   .. versionchanged:: 2.3
-      The *flags* and *dont_inherit* arguments were added.
-
-   .. versionchanged:: 2.6
-      Support for compiling AST objects.
-
-
-
-
-.. function:: delattr(object, name)
-
-   This is a relative of :func:`setattr`.  The arguments are an object and a
-   string.  The string must be the name of one of the object's attributes.  The
-   function deletes the named attribute, provided the object allows it.  For
-   example, ``delattr(x, 'foobar')`` is equivalent to ``del x.foobar``.
-
-
-
-.. function:: dir([object])
-
-   Without arguments, return the list of names in the current local scope.  With an
-   argument, attempt to return a list of valid attributes for that object.
-
-   If the object has a method named :meth:`__dir__`, this method will be called and
-   must return the list of attributes. This allows objects that implement a custom
-   :func:`__getattr__` or :func:`__getattribute__` function to customize the way
-   :func:`dir` reports their attributes.
-
-   If the object does not provide :meth:`__dir__`, the function tries its best to
-   gather information from the object's :attr:`__dict__` attribute, if defined, and
-   from its type object.  The resulting list is not necessarily complete, and may
-   be inaccurate when the object has a custom :func:`__getattr__`.
-
-   The default :func:`dir` mechanism behaves differently with different types of
-   objects, as it attempts to produce the most relevant, rather than complete,
-   information:
-
-   * If the object is a module object, the list contains the names of the module's
-     attributes.
-
-   * If the object is a type or class object, the list contains the names of its
-     attributes, and recursively of the attributes of its bases.
-
-   * Otherwise, the list contains the object's attributes' names, the names of its
-     class's attributes, and recursively of the attributes of its class's base
-     classes.
-
-   The resulting list is sorted alphabetically.  For example:
-
-      >>> import struct
-      >>> dir()   # doctest: +SKIP
-      ['__builtins__', '__doc__', '__name__', 'struct']
-      >>> dir(struct)   # doctest: +NORMALIZE_WHITESPACE
-      ['Struct', '__builtins__', '__doc__', '__file__', '__name__',
-       '__package__', '_clearcache', 'calcsize', 'error', 'pack', 'pack_into',
-       'unpack', 'unpack_from']
-      >>> class Foo(object):
-      ...     def __dir__(self):
-      ...         return ["kan", "ga", "roo"]
-      ...
-      >>> f = Foo()
-      >>> dir(f)
-      ['ga', 'kan', 'roo']
-
-   .. note::
-
-      Because :func:`dir` is supplied primarily as a convenience for use at an
-      interactive prompt, it tries to supply an interesting set of names more than it
-      tries to supply a rigorously or consistently defined set of names, and its
-      detailed behavior may change across releases.  For example, metaclass attributes
-      are not in the result list when the argument is a class.
-
-
-.. function:: divmod(a, b)
-
-   Take two (non complex) numbers as arguments and return a pair of numbers
-   consisting of their quotient and remainder when using long division.  With mixed
-   operand types, the rules for binary arithmetic operators apply.  For plain and
-   long integers, the result is the same as ``(a // b, a % b)``. For floating point
-   numbers the result is ``(q, a % b)``, where *q* is usually ``math.floor(a / b)``
-   but may be 1 less than that.  In any case ``q * b + a % b`` is very close to
-   *a*, if ``a % b`` is non-zero it has the same sign as *b*, and ``0 <= abs(a % b)
-   < abs(b)``.
-
-   .. versionchanged:: 2.3
-      Using :func:`divmod` with complex numbers is deprecated.
-
-
-.. function:: enumerate(sequence[, start=0])
-
-   Return an enumerate object. *sequence* must be a sequence, an
-   :term:`iterator`, or some other object which supports iteration.  The
-   :meth:`next` method of the iterator returned by :func:`enumerate` returns a
-   tuple containing a count (from *start* which defaults to 0) and the
-   corresponding value obtained from iterating over *iterable*.
-   :func:`enumerate` is useful for obtaining an indexed series: ``(0, seq[0])``,
-   ``(1, seq[1])``, ``(2, seq[2])``, .... For example:
-
-      >>> for i, season in enumerate(['Spring', 'Summer', 'Fall', 'Winter']):
-      ...     print i, season
-      0 Spring
-      1 Summer
-      2 Fall
-      3 Winter
-
-   .. versionadded:: 2.3
-   .. versionadded:: 2.6
-      The *start* parameter.
-
-
-.. function:: eval(expression[, globals[, locals]])
-
-   The arguments are a string and optional globals and locals.  If provided,
-   *globals* must be a dictionary.  If provided, *locals* can be any mapping
-   object.
-
-   .. versionchanged:: 2.4
-      formerly *locals* was required to be a dictionary.
-
-   The *expression* argument is parsed and evaluated as a Python expression
-   (technically speaking, a condition list) using the *globals* and *locals*
-   dictionaries as global and local namespace.  If the *globals* dictionary is
-   present and lacks '__builtins__', the current globals are copied into *globals*
-   before *expression* is parsed.  This means that *expression* normally has full
-   access to the standard :mod:`__builtin__` module and restricted environments are
-   propagated.  If the *locals* dictionary is omitted it defaults to the *globals*
-   dictionary.  If both dictionaries are omitted, the expression is executed in the
-   environment where :func:`eval` is called.  The return value is the result of
-   the evaluated expression. Syntax errors are reported as exceptions.  Example:
-
-      >>> x = 1
-      >>> print eval('x+1')
-      2
-
-   This function can also be used to execute arbitrary code objects (such as
-   those created by :func:`compile`).  In this case pass a code object instead
-   of a string.  If the code object has been compiled with ``'exec'`` as the
-   *kind* argument, :func:`eval`\'s return value will be ``None``.
-
-   Hints: dynamic execution of statements is supported by the :keyword:`exec`
-   statement.  Execution of statements from a file is supported by the
-   :func:`execfile` function.  The :func:`globals` and :func:`locals` functions
-   returns the current global and local dictionary, respectively, which may be
-   useful to pass around for use by :func:`eval` or :func:`execfile`.
-
-
-.. function:: execfile(filename[, globals[, locals]])
-
-   This function is similar to the :keyword:`exec` statement, but parses a file
-   instead of a string.  It is different from the :keyword:`import` statement in
-   that it does not use the module administration --- it reads the file
-   unconditionally and does not create a new module. [#]_
-
-   The arguments are a file name and two optional dictionaries.  The file is parsed
-   and evaluated as a sequence of Python statements (similarly to a module) using
-   the *globals* and *locals* dictionaries as global and local namespace. If
-   provided, *locals* can be any mapping object.
-
-   .. versionchanged:: 2.4
-      formerly *locals* was required to be a dictionary.
-
-   If the *locals* dictionary is omitted it defaults to the *globals* dictionary.
-   If both dictionaries are omitted, the expression is executed in the environment
-   where :func:`execfile` is called.  The return value is ``None``.
-
-   .. warning::
-
-      The default *locals* act as described for function :func:`locals` below:
-      modifications to the default *locals* dictionary should not be attempted.  Pass
-      an explicit *locals* dictionary if you need to see effects of the code on
-      *locals* after function :func:`execfile` returns.  :func:`execfile` cannot be
-      used reliably to modify a function's locals.
-
-
-.. function:: file(filename[, mode[, bufsize]])
-
-   Constructor function for the :class:`file` type, described further in section
-   :ref:`bltin-file-objects`.  The constructor's arguments are the same as those
-   of the :func:`open` built-in function described below.
-
-   When opening a file, it's preferable to use :func:`open` instead of  invoking
-   this constructor directly.  :class:`file` is more suited to type testing (for
-   example, writing ``isinstance(f, file)``).
-
-   .. versionadded:: 2.2
-
-
-.. function:: filter(function, iterable)
-
-   Construct a list from those elements of *iterable* for which *function* returns
-   true.  *iterable* may be either a sequence, a container which supports
-   iteration, or an iterator.  If *iterable* is a string or a tuple, the result
-   also has that type; otherwise it is always a list.  If *function* is ``None``,
-   the identity function is assumed, that is, all elements of *iterable* that are
-   false are removed.
-
-   Note that ``filter(function, iterable)`` is equivalent to ``[item for item in
-   iterable if function(item)]`` if function is not ``None`` and ``[item for item
-   in iterable if item]`` if function is ``None``.
-
-   See :func:`itertools.filterfalse` for the complementary function that returns
-   elements of *iterable* for which *function* returns false.
-
-
-.. function:: getattr(object, name[, default])
-
-   Return the value of the named attributed of *object*.  *name* must be a string.
-   If the string is the name of one of the object's attributes, the result is the
-   value of that attribute.  For example, ``getattr(x, 'foobar')`` is equivalent to
-   ``x.foobar``.  If the named attribute does not exist, *default* is returned if
-   provided, otherwise :exc:`AttributeError` is raised.
-
-
-.. function:: globals()
-
-   Return a dictionary representing the current global symbol table. This is always
-   the dictionary of the current module (inside a function or method, this is the
-   module where it is defined, not the module from which it is called).
-
-
-.. function:: hasattr(object, name)
-
-   The arguments are an object and a string.  The result is ``True`` if the string
-   is the name of one of the object's attributes, ``False`` if not. (This is
-   implemented by calling ``getattr(object, name)`` and seeing whether it raises an
-   exception or not.)
-
-
-.. function:: hash(object)
-
-   Return the hash value of the object (if it has one).  Hash values are integers.
-   They are used to quickly compare dictionary keys during a dictionary lookup.
-   Numeric values that compare equal have the same hash value (even if they are of
-   different types, as is the case for 1 and 1.0).
-
-
-.. function:: help([object])
-
-   Invoke the built-in help system.  (This function is intended for interactive
-   use.)  If no argument is given, the interactive help system starts on the
-   interpreter console.  If the argument is a string, then the string is looked up
-   as the name of a module, function, class, method, keyword, or documentation
-   topic, and a help page is printed on the console.  If the argument is any other
-   kind of object, a help page on the object is generated.
-
-   This function is added to the built-in namespace by the :mod:`site` module.
-
-   .. versionadded:: 2.2
-
-
-.. function:: hex(x)
-
-   Convert an integer number (of any size) to a hexadecimal string. The result is a
-   valid Python expression.
-
-   .. versionchanged:: 2.4
-      Formerly only returned an unsigned literal.
-
-
-.. function:: id(object)
-
-   Return the "identity" of an object.  This is an integer (or long integer) which
-   is guaranteed to be unique and constant for this object during its lifetime.
-   Two objects with non-overlapping lifetimes may have the same :func:`id` value.
-   (Implementation note: this is the address of the object.)
-
-
-.. function:: input([prompt])
-
-   Equivalent to ``eval(raw_input(prompt))``.
-
-   .. warning::
-
-      This function is not safe from user errors!  It expects a valid Python
-      expression as input; if the input is not syntactically valid, a
-      :exc:`SyntaxError` will be raised. Other exceptions may be raised if there is an
-      error during evaluation.  (On the other hand, sometimes this is exactly what you
-      need when writing a quick script for expert use.)
-
-   If the :mod:`readline` module was loaded, then :func:`input` will use it to
-   provide elaborate line editing and history features.
-
-   Consider using the :func:`raw_input` function for general input from users.
-
-
-
-.. function:: isinstance(object, classinfo)
-
-   Return true if the *object* argument is an instance of the *classinfo* argument,
-   or of a (direct or indirect) subclass thereof.  Also return true if *classinfo*
-   is a type object (new-style class) and *object* is an object of that type or of
-   a (direct or indirect) subclass thereof.  If *object* is not a class instance or
-   an object of the given type, the function always returns false.  If *classinfo*
-   is neither a class object nor a type object, it may be a tuple of class or type
-   objects, or may recursively contain other such tuples (other sequence types are
-   not accepted).  If *classinfo* is not a class, type, or tuple of classes, types,
-   and such tuples, a :exc:`TypeError` exception is raised.
-
-   .. versionchanged:: 2.2
-      Support for a tuple of type information was added.
-
-
-.. function:: issubclass(class, classinfo)
-
-   Return true if *class* is a subclass (direct or indirect) of *classinfo*.  A
-   class is considered a subclass of itself. *classinfo* may be a tuple of class
-   objects, in which case every entry in *classinfo* will be checked. In any other
-   case, a :exc:`TypeError` exception is raised.
-
-   .. versionchanged:: 2.3
-      Support for a tuple of type information was added.
-
-
-
-
-.. function:: len(s)
-
-   Return the length (the number of items) of an object.  The argument may be a
-   sequence (string, tuple or list) or a mapping (dictionary).
-
-
-
-.. function:: locals()
-
-   Update and return a dictionary representing the current local symbol table.
-
-   .. warning::
-
-      The contents of this dictionary should not be modified; changes may not affect
-      the values of local variables used by the interpreter.
-
-   Free variables are returned by :func:`locals` when it is called in a function block.
-   Modifications of free variables may not affect the values used by the
-   interpreter.  Free variables are not returned in class blocks.
-
-
-.. function:: long([x[, radix]])
-
-   Convert a string or number to a long integer.  If the argument is a string, it
-   must contain a possibly signed number of arbitrary size, possibly embedded in
-   whitespace. The *radix* argument is interpreted in the same way as for
-   :func:`int`, and may only be given when *x* is a string. Otherwise, the argument
-   may be a plain or long integer or a floating point number, and a long integer
-   with the same value is returned.    Conversion of floating point numbers to
-   integers truncates (towards zero).  If no arguments are given, returns ``0L``.
-
-   The long type is described in :ref:`typesnumeric`.
-
-.. function:: map(function, iterable, ...)
-
-   Apply *function* to every item of *iterable* and return a list of the results.
-   If additional *iterable* arguments are passed, *function* must take that many
-   arguments and is applied to the items from all iterables in parallel.  If one
-   iterable is shorter than another it is assumed to be extended with ``None``
-   items.  If *function* is ``None``, the identity function is assumed; if there
-   are multiple arguments, :func:`map` returns a list consisting of tuples
-   containing the corresponding items from all iterables (a kind of transpose
-   operation).  The *iterable* arguments may be a sequence  or any iterable object;
-   the result is always a list.
-
-
-.. function:: max(iterable[, args...][key])
-
-   With a single argument *iterable*, return the largest item of a non-empty
-   iterable (such as a string, tuple or list).  With more than one argument, return
-   the largest of the arguments.
-
-   The optional *key* argument specifies a one-argument ordering function like that
-   used for :meth:`list.sort`.  The *key* argument, if supplied, must be in keyword
-   form (for example, ``max(a,b,c,key=func)``).
-
-   .. versionchanged:: 2.5
-      Added support for the optional *key* argument.
-
-
-.. function:: min(iterable[, args...][key])
-
-   With a single argument *iterable*, return the smallest item of a non-empty
-   iterable (such as a string, tuple or list).  With more than one argument, return
-   the smallest of the arguments.
-
-   The optional *key* argument specifies a one-argument ordering function like that
-   used for :meth:`list.sort`.  The *key* argument, if supplied, must be in keyword
-   form (for example, ``min(a,b,c,key=func)``).
-
-   .. versionchanged:: 2.5
-      Added support for the optional *key* argument.
-
-
-.. function:: next(iterator[, default])
-
-   Retrieve the next item from the *iterator* by calling its :meth:`next`
-   method.  If *default* is given, it is returned if the iterator is exhausted,
-   otherwise :exc:`StopIteration` is raised.
-
-   .. versionadded:: 2.6
-
-
-
-
-.. function:: oct(x)
-
-   Convert an integer number (of any size) to an octal string.  The result is a
-   valid Python expression.
-
-   .. versionchanged:: 2.4
-      Formerly only returned an unsigned literal.
-
-
-
-
-.. function:: pow(x, y[, z])
-
-   Return *x* to the power *y*; if *z* is present, return *x* to the power *y*,
-   modulo *z* (computed more efficiently than ``pow(x, y) % z``). The two-argument
-   form ``pow(x, y)`` is equivalent to using the power operator: ``x**y``.
-
-   The arguments must have numeric types.  With mixed operand types, the coercion
-   rules for binary arithmetic operators apply.  For int and long int operands, the
-   result has the same type as the operands (after coercion) unless the second
-   argument is negative; in that case, all arguments are converted to float and a
-   float result is delivered.  For example, ``10**2`` returns ``100``, but
-   ``10**-2`` returns ``0.01``.  (This last feature was added in Python 2.2.  In
-   Python 2.1 and before, if both arguments were of integer types and the second
-   argument was negative, an exception was raised.) If the second argument is
-   negative, the third argument must be omitted. If *z* is present, *x* and *y*
-   must be of integer types, and *y* must be non-negative.  (This restriction was
-   added in Python 2.2.  In Python 2.1 and before, floating 3-argument ``pow()``
-   returned platform-dependent results depending on floating-point rounding
-   accidents.)
-
-
-.. function:: print([object, ...][, sep=' '][, end='\n'][, file=sys.stdout])
-
-   Print *object*\(s) to the stream *file*, separated by *sep* and followed by
-   *end*.  *sep*, *end* and *file*, if present, must be given as keyword
-   arguments.
-
-   All non-keyword arguments are converted to strings like :func:`str` does and
-   written to the stream, separated by *sep* and followed by *end*.  Both *sep*
-   and *end* must be strings; they can also be ``None``, which means to use the
-   default values.  If no *object* is given, :func:`print` will just write
-   *end*.
-
-   The *file* argument must be an object with a ``write(string)`` method; if it
-   is not present or ``None``, :data:`sys.stdout` will be used.
-
-   .. note::
-
-      This function is not normally available as a builtin since the name
-      ``print`` is recognized as the :keyword:`print` statement.  To disable the
-      statement and use the :func:`print` function, use this future statement at
-      the top of your module::
-
-         from __future__ import print_function
-
-   .. versionadded:: 2.6
-
-
-.. function:: property([fget[, fset[, fdel[, doc]]]])
-
-   Return a property attribute for :term:`new-style class`\es (classes that
-   derive from :class:`object`).
-
-   *fget* is a function for getting an attribute value, likewise *fset* is a
-   function for setting, and *fdel* a function for del'ing, an attribute.  Typical
-   use is to define a managed attribute x::
-
-      class C(object):
-          def __init__(self):
-              self._x = None
-
-          def getx(self):
-              return self._x
-          def setx(self, value):
-              self._x = value
-          def delx(self):
-              del self._x
-          x = property(getx, setx, delx, "I'm the 'x' property.")
-
-   If given, *doc* will be the docstring of the property attribute. Otherwise, the
-   property will copy *fget*'s docstring (if it exists).  This makes it possible to
-   create read-only properties easily using :func:`property` as a :term:`decorator`::
-
-      class Parrot(object):
-          def __init__(self):
-              self._voltage = 100000
-
-          @property
-          def voltage(self):
-              """Get the current voltage."""
-              return self._voltage
-
-   turns the :meth:`voltage` method into a "getter" for a read-only attribute
-   with the same name.
-
-   A property object has :attr:`getter`, :attr:`setter`, and :attr:`deleter`
-   methods usable as decorators that create a copy of the property with the
-   corresponding accessor function set to the decorated function.  This is
-   best explained with an example::
-
-      class C(object):
-          def __init__(self):
-              self._x = None
-
-          @property
-          def x(self):
-              """I'm the 'x' property."""
-              return self._x
-
-          @x.setter
-          def x(self, value):
-              self._x = value
-
-          @x.deleter
-          def x(self):
-              del self._x
-
-   This code is exactly equivalent to the first example.  Be sure to give the
-   additional functions the same name as the original property (``x`` in this
-   case.)
-
-   The returned property also has the attributes ``fget``, ``fset``, and
-   ``fdel`` corresponding to the constructor arguments.
-
-   .. versionadded:: 2.2
-
-   .. versionchanged:: 2.5
-      Use *fget*'s docstring if no *doc* given.
-
-   .. versionchanged:: 2.6
-      The ``getter``, ``setter``, and ``deleter`` attributes were added.
-
-
-
-.. function:: raw_input([prompt])
-
-   If the *prompt* argument is present, it is written to standard output without a
-   trailing newline.  The function then reads a line from input, converts it to a
-   string (stripping a trailing newline), and returns that. When EOF is read,
-   :exc:`EOFError` is raised. Example::
-
-      >>> s = raw_input('--> ')
-      --> Monty Python's Flying Circus
-      >>> s
-      "Monty Python's Flying Circus"
-
-   If the :mod:`readline` module was loaded, then :func:`raw_input` will use it to
-   provide elaborate line editing and history features.
-
-
-.. function:: reduce(function, iterable[, initializer])
-
-   Apply *function* of two arguments cumulatively to the items of *iterable*, from
-   left to right, so as to reduce the iterable to a single value.  For example,
-   ``reduce(lambda x, y: x+y, [1, 2, 3, 4, 5])`` calculates ``((((1+2)+3)+4)+5)``.
-   The left argument, *x*, is the accumulated value and the right argument, *y*, is
-   the update value from the *iterable*.  If the optional *initializer* is present,
-   it is placed before the items of the iterable in the calculation, and serves as
-   a default when the iterable is empty.  If *initializer* is not given and
-   *iterable* contains only one item, the first item is returned.
-
-
-.. function:: reload(module)
-
-   Reload a previously imported *module*.  The argument must be a module object, so
-   it must have been successfully imported before.  This is useful if you have
-   edited the module source file using an external editor and want to try out the
-   new version without leaving the Python interpreter.  The return value is the
-   module object (the same as the *module* argument).
-
-   When ``reload(module)`` is executed:
-
-   * Python modules' code is recompiled and the module-level code reexecuted,
-     defining a new set of objects which are bound to names in the module's
-     dictionary.  The ``init`` function of extension modules is not called a second
-     time.
-
-   * As with all other objects in Python the old objects are only reclaimed after
-     their reference counts drop to zero.
-
-   * The names in the module namespace are updated to point to any new or changed
-     objects.
-
-   * Other references to the old objects (such as names external to the module) are
-     not rebound to refer to the new objects and must be updated in each namespace
-     where they occur if that is desired.
-
-   There are a number of other caveats:
-
-   If a module is syntactically correct but its initialization fails, the first
-   :keyword:`import` statement for it does not bind its name locally, but does
-   store a (partially initialized) module object in ``sys.modules``.  To reload the
-   module you must first :keyword:`import` it again (this will bind the name to the
-   partially initialized module object) before you can :func:`reload` it.
-
-   When a module is reloaded, its dictionary (containing the module's global
-   variables) is retained.  Redefinitions of names will override the old
-   definitions, so this is generally not a problem.  If the new version of a module
-   does not define a name that was defined by the old version, the old definition
-   remains.  This feature can be used to the module's advantage if it maintains a
-   global table or cache of objects --- with a :keyword:`try` statement it can test
-   for the table's presence and skip its initialization if desired::
-
-      try:
-          cache
-      except NameError:
-          cache = {}
-
-   It is legal though generally not very useful to reload built-in or dynamically
-   loaded modules, except for :mod:`sys`, :mod:`__main__` and :mod:`__builtin__`.
-   In many cases, however, extension modules are not designed to be initialized
-   more than once, and may fail in arbitrary ways when reloaded.
-
-   If a module imports objects from another module using :keyword:`from` ...
-   :keyword:`import` ..., calling :func:`reload` for the other module does not
-   redefine the objects imported from it --- one way around this is to re-execute
-   the :keyword:`from` statement, another is to use :keyword:`import` and qualified
-   names (*module*.*name*) instead.
-
-   If a module instantiates instances of a class, reloading the module that defines
-   the class does not affect the method definitions of the instances --- they
-   continue to use the old class definition.  The same is true for derived classes.
-
-
-.. function:: repr(object)
-
-   Return a string containing a printable representation of an object.  This is
-   the same value yielded by conversions (reverse quotes).  It is sometimes
-   useful to be able to access this operation as an ordinary function.  For many
-   types, this function makes an attempt to return a string that would yield an
-   object with the same value when passed to :func:`eval`, otherwise the
-   representation is a string enclosed in angle brackets that contains the name
-   of the type of the object together with additional information often
-   including the name and address of the object.  A class can control what this
-   function returns for its instances by defining a :meth:`__repr__` method.
-
-
-.. function:: reversed(seq)
-
-   Return a reverse :term:`iterator`.  *seq* must be an object which has
-   a :meth:`__reversed__` method or supports the sequence protocol (the
-   :meth:`__len__` method and the :meth:`__getitem__` method with integer
-   arguments starting at ``0``).
-
-   .. versionadded:: 2.4
-
-   .. versionchanged:: 2.6
-      Added the possibility to write a custom :meth:`__reversed__` method.
-
-
-.. function:: round(x[, n])
-
-   Return the floating point value *x* rounded to *n* digits after the decimal
-   point.  If *n* is omitted, it defaults to zero. The result is a floating point
-   number.  Values are rounded to the closest multiple of 10 to the power minus
-   *n*; if two multiples are equally close, rounding is done away from 0 (so. for
-   example, ``round(0.5)`` is ``1.0`` and ``round(-0.5)`` is ``-1.0``).
-
-
-
-
-.. function:: setattr(object, name, value)
-
-   This is the counterpart of :func:`getattr`.  The arguments are an object, a
-   string and an arbitrary value.  The string may name an existing attribute or a
-   new attribute.  The function assigns the value to the attribute, provided the
-   object allows it.  For example, ``setattr(x, 'foobar', 123)`` is equivalent to
-   ``x.foobar = 123``.
-
-
-.. function:: slice([start,] stop[, step])
-
-   .. index:: single: Numerical Python
-
-   Return a :term:`slice` object representing the set of indices specified by
-   ``range(start, stop, step)``.  The *start* and *step* arguments default to
-   ``None``.  Slice objects have read-only data attributes :attr:`start`,
-   :attr:`stop` and :attr:`step` which merely return the argument values (or their
-   default).  They have no other explicit functionality; however they are used by
-   Numerical Python and other third party extensions.  Slice objects are also
-   generated when extended indexing syntax is used.  For example:
-   ``a[start:stop:step]`` or ``a[start:stop, i]``.  See :func:`itertools.islice`
-   for an alternate version that returns an iterator.
-
-
-.. function:: sorted(iterable[, cmp[, key[, reverse]]])
-
-   Return a new sorted list from the items in *iterable*.
-
-   The optional arguments *cmp*, *key*, and *reverse* have the same meaning as
-   those for the :meth:`list.sort` method (described in section
-   :ref:`typesseq-mutable`).
-
-   *cmp* specifies a custom comparison function of two arguments (iterable
-   elements) which should return a negative, zero or positive number depending on
-   whether the first argument is considered smaller than, equal to, or larger than
-   the second argument: ``cmp=lambda x,y: cmp(x.lower(), y.lower())``.  The default
-   value is ``None``.
-
-   *key* specifies a function of one argument that is used to extract a comparison
-   key from each list element: ``key=str.lower``.  The default value is ``None``.
-
-   *reverse* is a boolean value.  If set to ``True``, then the list elements are
-   sorted as if each comparison were reversed.
-
-   In general, the *key* and *reverse* conversion processes are much faster
-   than specifying an equivalent *cmp* function.  This is because *cmp* is
-   called multiple times for each list element while *key* and *reverse* touch
-   each element only once.  To convert an old-style *cmp* function to a *key*
-   function, see the `CmpToKey recipe in the ASPN cookbook
-   <http://code.activestate.com/recipes/576653/>`_\.
-
-   .. versionadded:: 2.4
-
-
-.. function:: staticmethod(function)
-
-   Return a static method for *function*.
-
-   A static method does not receive an implicit first argument. To declare a static
-   method, use this idiom::
-
-      class C:
-          @staticmethod
-          def f(arg1, arg2, ...): ...
-
-   The ``@staticmethod`` form is a function :term:`decorator` -- see the
-   description of function definitions in :ref:`function` for details.
-
-   It can be called either on the class (such as ``C.f()``) or on an instance (such
-   as ``C().f()``).  The instance is ignored except for its class.
-
-   Static methods in Python are similar to those found in Java or C++. For a more
-   advanced concept, see :func:`classmethod` in this section.
-
-   For more information on static methods, consult the documentation on the
-   standard type hierarchy in :ref:`types`.
-
-   .. versionadded:: 2.2
-
-   .. versionchanged:: 2.4
-      Function decorator syntax added.
-
-
-
-.. function:: sum(iterable[, start])
-
-   Sums *start* and the items of an *iterable* from left to right and returns the
-   total.  *start* defaults to ``0``. The *iterable*'s items are normally numbers,
-   and are not allowed to be strings.  The fast, correct way to concatenate a
-   sequence of strings is by calling ``''.join(sequence)``. Note that
-   ``sum(range(n), m)`` is equivalent to ``reduce(operator.add, range(n), m)``
-   To add floating point values with extended precision, see :func:`math.fsum`\.
-
-   .. versionadded:: 2.3
-
-
-.. function:: super(type[, object-or-type])
-
-   Return a proxy object that delegates method calls to a parent or sibling
-   class of *type*.  This is useful for accessing inherited methods that have
-   been overridden in a class. The search order is same as that used by
-   :func:`getattr` except that the *type* itself is skipped.
-
-   The :attr:`__mro__` attribute of the *type* lists the method resolution
-   search order used by both :func:`getattr` and :func:`super`.  The attribute
-   is dynamic and can change whenever the inheritance hierarchy is updated.
-
-   If the second argument is omitted, the super object returned is unbound.  If
-   the second argument is an object, ``isinstance(obj, type)`` must be true.  If
-   the second argument is a type, ``issubclass(type2, type)`` must be true (this
-   is useful for classmethods).
-
-   .. note::
-      :func:`super` only works for :term:`new-style class`\es.
-
-   There are two typical use cases for *super*.  In a class hierarchy with
-   single inheritance, *super* can be used to refer to parent classes without
-   naming them explicitly, thus making the code more maintainable.  This use
-   closely parallels the use of *super* in other programming languages.
-
-   The second use case is to support cooperative multiple inheritance in a
-   dynamic execution environment.  This use case is unique to Python and is
-   not found in statically compiled languages or languages that only support
-   single inheritance.  This makes it possible to implement "diamond diagrams"
-   where multiple base classes implement the same method.  Good design dictates
-   that this method have the same calling signature in every case (because the
-   order of calls is determined at runtime, because that order adapts
-   to changes in the class hierarchy, and because that order can include
-   sibling classes that are unknown prior to runtime).
-
-   For both use cases, a typical superclass call looks like this::
-
-      class C(B):
-          def method(self, arg):
-              super(C, self).method(arg)
-
-   Note that :func:`super` is implemented as part of the binding process for
-   explicit dotted attribute lookups such as ``super().__getitem__(name)``.
-   It does so by implementing its own :meth:`__getattribute__` method for searching
-   classes in a predictable order that supports cooperative multiple inheritance.
-   Accordingly, :func:`super` is undefined for implicit lookups using statements or
-   operators such as ``super()[name]``.
-
-   Also note that :func:`super` is not limited to use inside methods.  The two
-   argument form specifies the arguments exactly and makes the appropriate
-   references.
-
-   .. versionadded:: 2.2
-
-
-
-
-.. function:: type(object)
-
-   .. index:: object: type
-
-   Return the type of an *object*.  The return value is a type object.  The
-   :func:`isinstance` built-in function is recommended for testing the type of an
-   object.
-
-   With three arguments, :func:`type` functions as a constructor as detailed below.
-
-
-
-
-
-.. function:: vars([object])
-
-   Without arguments, return a dictionary corresponding to the current local symbol
-   table.  With a module, class or class instance object as argument (or anything
-   else that has a :attr:`__dict__` attribute), returns a dictionary corresponding
-   to the object's symbol table.
-
-   .. warning::
-
-      The returned dictionary should not be modified:
-      the effects on the corresponding symbol table are undefined. [#]_
-
-
-.. function:: xrange([start,] stop[, step])
-
-   This function is very similar to :func:`range`, but returns an "xrange object"
-   instead of a list.  This is an opaque sequence type which yields the same values
-   as the corresponding list, without actually storing them all simultaneously.
-   The advantage of :func:`xrange` over :func:`range` is minimal (since
-   :func:`xrange` still has to create the values when asked for them) except when a
-   very large range is used on a memory-starved machine or when all of the range's
-   elements are never used (such as when the loop is usually terminated with
-   :keyword:`break`).
-
-   .. note::
-
-      :func:`xrange` is intended to be simple and fast. Implementations may impose
-      restrictions to achieve this. The C implementation of Python restricts all
-      arguments to native C longs ("short" Python integers), and also requires that
-      the number of elements fit in a native C long.  If a larger range is needed,
-      an alternate version can be crafted using the :mod:`itertools` module:
-      ``islice(count(start, step), (stop-start+step-1)//step)``.
-
-
-.. function:: zip([iterable, ...])
-
-   This function returns a list of tuples, where the *i*-th tuple contains the
-   *i*-th element from each of the argument sequences or iterables. The returned
-   list is truncated in length to the length of the shortest argument sequence.
-   When there are multiple arguments which are all of the same length, :func:`zip`
-   is similar to :func:`map` with an initial argument of ``None``. With a single
-   sequence argument, it returns a list of 1-tuples. With no arguments, it returns
-   an empty list.
-
-   The left-to-right evaluation order of the iterables is guaranteed. This
-   makes possible an idiom for clustering a data series into n-length groups
-   using ``zip(*[iter(s)]*n)``.
-
-   :func:`zip` in conjunction with the ``*`` operator can be used to unzip a
-   list::
-
-      >>> x = [1, 2, 3]
-      >>> y = [4, 5, 6]
-      >>> zipped = zip(x, y)
-      >>> zipped
-      [(1, 4), (2, 5), (3, 6)]
-      >>> x2, y2 = zip(*zipped)
-      >>> x == x2, y == y2
-      True
-
-   .. versionadded:: 2.0
-
-   .. versionchanged:: 2.4
-      Formerly, :func:`zip` required at least one argument and ``zip()`` raised a
-      :exc:`TypeError` instead of returning an empty list.
-
-
-.. function:: __import__(name[, globals[, locals[, fromlist[, level]]]])
-
-   .. index::
-      statement: import
-      module: imp
-
-   .. note::
-
-      This is an advanced function that is not needed in everyday Python
-      programming.
-
-   This function is invoked by the :keyword:`import` statement.  It can be
-   replaced (by importing the :mod:`builtins` module and assigning to
-   ``builtins.__import__``) in order to change semantics of the
-   :keyword:`import` statement, but nowadays it is usually simpler to use import
-   hooks (see :pep:`302`).  Direct use of :func:`__import__` is rare, except in
-   cases where you want to import a module whose name is only known at runtime.
-
-   The function imports the module *name*, potentially using the given *globals*
-   and *locals* to determine how to interpret the name in a package context.
-   The *fromlist* gives the names of objects or submodules that should be
-   imported from the module given by *name*.  The standard implementation does
-   not use its *locals* argument at all, and uses its *globals* only to
-   determine the package context of the :keyword:`import` statement.
-
-   *level* specifies whether to use absolute or relative imports.  The default
-   is ``-1`` which indicates both absolute and relative imports will be
-   attempted.  ``0`` means only perform absolute imports.  Positive values for
-   *level* indicate the number of parent directories to search relative to the
-   directory of the module calling :func:`__import__`.
-
-   When the *name* variable is of the form ``package.module``, normally, the
-   top-level package (the name up till the first dot) is returned, *not* the
-   module named by *name*.  However, when a non-empty *fromlist* argument is
-   given, the module named by *name* is returned.
-
-   For example, the statement ``import spam`` results in bytecode resembling the
-   following code::
-
-      spam = __import__('spam', globals(), locals(), [], -1)
-
-   The statement ``import spam.ham`` results in this call::
-
-      spam = __import__('spam.ham', globals(), locals(), [], -1)
-
-   Note how :func:`__import__` returns the toplevel module here because this is
-   the object that is bound to a name by the :keyword:`import` statement.
-
-   On the other hand, the statement ``from spam.ham import eggs, sausage as
-   saus`` results in ::
-
-      _temp = __import__('spam.ham', globals(), locals(), ['eggs', 'sausage'], -1)
-      eggs = _temp.eggs
-      saus = _temp.sausage
-
-   Here, the ``spam.ham`` module is returned from :func:`__import__`.  From this
-   object, the names to import are retrieved and assigned to their respective
-   names.
-
-   If you simply want to import a module (potentially within a package) by name,
-   you can get it from :data:`sys.modules`::
-
-      >>> import sys
-      >>> name = 'foo.bar.baz'
-      >>> __import__(name)
-      <module 'foo' from ...>
-      >>> baz = sys.modules[name]
-      >>> baz
-      <module 'foo.bar.baz' from ...>
-
-   .. versionchanged:: 2.5
-      The level parameter was added.
-
-   .. versionchanged:: 2.5
-      Keyword support for parameters was added.
-
-..  ---------------------------------------------------------------------------
-