"""
A collection of utility functions and classes.  Many (but not all)
from the Python Cookbook -- hence the name cbook
"""
from __future__ import generators
import re, os, errno, sys, StringIO, traceback, locale, threading, types
import time, datetime
import warnings
import numpy as np
import numpy.ma as ma
from weakref import ref, WeakKeyDictionary
import cPickle
import os.path
import random
import new

import matplotlib

major, minor1, minor2, s, tmp = sys.version_info


# On some systems, locale.getpreferredencoding returns None,
# which can break unicode; and the sage project reports that
# some systems have incorrect locale specifications, e.g.,
# an encoding instead of a valid locale name.  Another
# pathological case that has been reported is an empty string.

# On some systems, getpreferredencoding sets the locale, which has
# side effects.  Passing False eliminates those side effects.


def unicode_safe(s):
    import matplotlib

    try:
        preferredencoding = locale.getpreferredencoding(
            matplotlib.rcParams['axes.formatter.use_locale']).strip()
        if not preferredencoding:
            preferredencoding = None
    except (ValueError, ImportError, AttributeError):
        preferredencoding = None

    if preferredencoding is None: return unicode(s)
    else: return unicode(s, preferredencoding)


class converter:
    """
    Base class for handling string -> python type with support for
    missing values
    """
    def __init__(self, missing='Null', missingval=None):
        self.missing = missing
        self.missingval = missingval
    def __call__(self, s):
        if s==self.missing: return self.missingval
        return s

    def is_missing(self, s):
        return not s.strip() or s==self.missing

class tostr(converter):
    'convert to string or None'
    def __init__(self, missing='Null', missingval=''):
        converter.__init__(self, missing=missing, missingval=missingval)

class todatetime(converter):
    'convert to a datetime or None'
    def __init__(self, fmt='%Y-%m-%d', missing='Null', missingval=None):
        'use a :func:`time.strptime` format string for conversion'
        converter.__init__(self, missing, missingval)
        self.fmt = fmt

    def __call__(self, s):
        if self.is_missing(s): return self.missingval
        tup = time.strptime(s, self.fmt)
        return datetime.datetime(*tup[:6])



class todate(converter):
    'convert to a date or None'
    def __init__(self, fmt='%Y-%m-%d', missing='Null', missingval=None):
        'use a :func:`time.strptime` format string for conversion'
        converter.__init__(self, missing, missingval)
        self.fmt = fmt
    def __call__(self, s):
        if self.is_missing(s): return self.missingval
        tup = time.strptime(s, self.fmt)
        return datetime.date(*tup[:3])

class tofloat(converter):
    'convert to a float or None'
    def __init__(self, missing='Null', missingval=None):
        converter.__init__(self, missing)
        self.missingval = missingval
    def __call__(self, s):
        if self.is_missing(s): return self.missingval
        return float(s)


class toint(converter):
    'convert to an int or None'
    def __init__(self, missing='Null', missingval=None):
        converter.__init__(self, missing)

    def __call__(self, s):
        if self.is_missing(s): return self.missingval
        return int(s)

class CallbackRegistry:
    """
    Handle registering and disconnecting for a set of signals and
    callbacks::

       def oneat(x):
           print 'eat', x

       def ondrink(x):
           print 'drink', x

       callbacks = CallbackRegistry()

       ideat = callbacks.connect('eat', oneat)
       iddrink = callbacks.connect('drink', ondrink)

       #tmp = callbacks.connect('drunk', ondrink) # this will raise a ValueError

       callbacks.process('drink', 123)    # will call oneat
       callbacks.process('eat', 456)      # will call ondrink
       callbacks.process('be merry', 456) # nothing will be called
       callbacks.disconnect(ideat)        # disconnect oneat
       callbacks.process('eat', 456)      # nothing will be called

    In practice, one should always disconnect all callbacks when they
    are no longer needed to avoid dangling references (and thus memory
    leaks).  However, real code in matplotlib rarely does so, and due
    to its design, it is rather difficult to place this kind of code.
    To get around this, and prevent this class of memory leaks, we
    instead store weak references to bound methods only, so when the
    destination object needs to die, the CallbackRegistry won't keep
    it alive.  The Python stdlib weakref module can not create weak
    references to bound methods directly, so we need to create a proxy
    object to handle weak references to bound methods (or regular free
    functions).  This technique was shared by Peter Parente on his
    `"Mindtrove" blog
    <http://mindtrove.info/articles/python-weak-references/>`_.
    """
    class BoundMethodProxy(object):
        '''
        Our own proxy object which enables weak references to bound and unbound
        methods and arbitrary callables. Pulls information about the function,
        class, and instance out of a bound method. Stores a weak reference to the
        instance to support garbage collection.

        @organization: IBM Corporation
        @copyright: Copyright (c) 2005, 2006 IBM Corporation
        @license: The BSD License

        Minor bugfixes by Michael Droettboom
        '''
        def __init__(self, cb):
            try:
                try:
                    self.inst = ref(cb.im_self)
                except TypeError:
                    self.inst = None
                self.func = cb.im_func
                self.klass = cb.im_class
            except AttributeError:
                self.inst = None
                self.func = cb
                self.klass = None

        def __call__(self, *args, **kwargs):
            '''
            Proxy for a call to the weak referenced object. Take
            arbitrary params to pass to the callable.

            Raises `ReferenceError`: When the weak reference refers to
            a dead object
            '''
            if self.inst is not None and self.inst() is None:
                raise ReferenceError
            elif self.inst is not None:
                # build a new instance method with a strong reference to the instance
                mtd = new.instancemethod(self.func, self.inst(), self.klass)
            else:
                # not a bound method, just return the func
                mtd = self.func
            # invoke the callable and return the result
            return mtd(*args, **kwargs)

        def __eq__(self, other):
            '''
            Compare the held function and instance with that held by
            another proxy.
            '''
            try:
                if self.inst is None:
                    return self.func == other.func and other.inst is None
                else:
                    return self.func == other.func and self.inst() == other.inst()
            except Exception:
                return False

        def __ne__(self, other):
            '''
            Inverse of __eq__.
            '''
            return not self.__eq__(other)

    def __init__(self, *args):
        if len(args):
            warnings.warn(
                'CallbackRegistry no longer requires a list of callback types.  Ignoring arguments',
                DeprecationWarning)
        self.callbacks = dict()
        self._cid = 0
        self._func_cid_map = WeakKeyDictionary()

    def connect(self, s, func):
        """
        register *func* to be called when a signal *s* is generated
        func will be called
        """
        if func in self._func_cid_map:
            return self._func_cid_map[func]
        proxy = self.BoundMethodProxy(func)
        self._cid += 1
        self.callbacks.setdefault(s, dict())
        self.callbacks[s][self._cid] = proxy
        self._func_cid_map[func] = self._cid
        return self._cid

    def disconnect(self, cid):
        """
        disconnect the callback registered with callback id *cid*
        """
        for eventname, callbackd in self.callbacks.items():
            try:
                del callbackd[cid]
            except KeyError:
                continue
            else:
                for key, value in self._func_cid_map.items():
                    if value == cid:
                        del self._func_cid_map[key]
                return

    def process(self, s, *args, **kwargs):
        """
        process signal *s*.  All of the functions registered to receive
        callbacks on *s* will be called with *\*args* and *\*\*kwargs*
        """
        if s in self.callbacks:
            for cid, proxy in self.callbacks[s].items():
                # Clean out dead references
                if proxy.inst is not None and proxy.inst() is None:
                    del self.callbacks[s][cid]
                else:
                    proxy(*args, **kwargs)


class Scheduler(threading.Thread):
    """
    Base class for timeout and idle scheduling
    """
    idlelock = threading.Lock()
    id = 0

    def __init__(self):
        threading.Thread.__init__(self)
        self.id = Scheduler.id
        self._stopped = False
        Scheduler.id += 1
        self._stopevent = threading.Event()

    def stop(self):
        if self._stopped: return
        self._stopevent.set()
        self.join()
        self._stopped = True

class Timeout(Scheduler):
    """
    Schedule recurring events with a wait time in seconds
    """
    def __init__(self, wait, func):
        Scheduler.__init__(self)
        self.wait = wait
        self.func = func

    def run(self):

        while not self._stopevent.isSet():
            self._stopevent.wait(self.wait)
            Scheduler.idlelock.acquire()
            b = self.func(self)
            Scheduler.idlelock.release()
            if not b: break

class Idle(Scheduler):
    """
    Schedule callbacks when scheduler is idle
    """
    # the prototype impl is a bit of a poor man's idle handler.  It
    # just implements a short wait time.  But it will provide a
    # placeholder for a proper impl ater
    waittime = 0.05
    def __init__(self, func):
        Scheduler.__init__(self)
        self.func = func

    def run(self):

        while not self._stopevent.isSet():
            self._stopevent.wait(Idle.waittime)
            Scheduler.idlelock.acquire()
            b = self.func(self)
            Scheduler.idlelock.release()
            if not b: break

class silent_list(list):
    """
    override repr when returning a list of matplotlib artists to
    prevent long, meaningless output.  This is meant to be used for a
    homogeneous list of a give type
    """
    def __init__(self, type, seq=None):
        self.type = type
        if seq is not None: self.extend(seq)

    def __repr__(self):
        return '<a list of %d %s objects>' % (len(self), self.type)

    def __str__(self):
        return '<a list of %d %s objects>' % (len(self), self.type)

def strip_math(s):
    'remove latex formatting from mathtext'
    remove = (r'\mathdefault', r'\rm', r'\cal', r'\tt', r'\it', '\\', '{', '}')
    s = s[1:-1]
    for r in remove:  s = s.replace(r,'')
    return s

class Bunch:
    """
    Often we want to just collect a bunch of stuff together, naming each
    item of the bunch; a dictionary's OK for that, but a small do- nothing
    class is even handier, and prettier to use.  Whenever you want to
    group a few variables:

      >>> point = Bunch(datum=2, squared=4, coord=12)
      >>> point.datum

      By: Alex Martelli
      From: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/52308
    """
    def __init__(self, **kwds):
        self.__dict__.update(kwds)


    def __repr__(self):
        keys = self.__dict__.keys()
        return 'Bunch(%s)'%', '.join(['%s=%s'%(k,self.__dict__[k]) for k in keys])

def unique(x):
    'Return a list of unique elements of *x*'
    return dict([ (val, 1) for val in x]).keys()

def iterable(obj):
    'return true if *obj* is iterable'
    try:
        iter(obj)
    except TypeError:
        return False
    return True


def is_string_like(obj):
    'Return True if *obj* looks like a string'
    if isinstance(obj, (str, unicode)): return True
    # numpy strings are subclass of str, ma strings are not
    if ma.isMaskedArray(obj):
        if obj.ndim == 0 and obj.dtype.kind in 'SU':
            return True
        else:
            return False
    try: obj + ''
    except: return False
    return True

def is_sequence_of_strings(obj):
    """
    Returns true if *obj* is iterable and contains strings
    """
    if not iterable(obj): return False
    if is_string_like(obj): return False
    for o in obj:
        if not is_string_like(o): return False
    return True

def is_writable_file_like(obj):
    'return true if *obj* looks like a file object with a *write* method'
    return hasattr(obj, 'write') and callable(obj.write)

def is_scalar(obj):
    'return true if *obj* is not string like and is not iterable'
    return not is_string_like(obj) and not iterable(obj)

def is_numlike(obj):
    'return true if *obj* looks like a number'
    try: obj+1
    except: return False
    else: return True

def to_filehandle(fname, flag='rU', return_opened=False):
    """
    *fname* can be a filename or a file handle.  Support for gzipped
    files is automatic, if the filename ends in .gz.  *flag* is a
    read/write flag for :func:`file`
    """
    if is_string_like(fname):
        if fname.endswith('.gz'):
            import gzip
            # get rid of 'U' in flag for gzipped files.
            flag = flag.replace('U','')
            fh = gzip.open(fname, flag)
        elif fname.endswith('.bz2'):
            # get rid of 'U' in flag for bz2 files
            flag = flag.replace('U','')
            import bz2
            fh = bz2.BZ2File(fname, flag)
        else:
            fh = file(fname, flag)
        opened = True
    elif hasattr(fname, 'seek'):
        fh = fname
        opened = False
    else:
        raise ValueError('fname must be a string or file handle')
    if return_opened:
        return fh, opened
    return fh

def is_scalar_or_string(val):
    return is_string_like(val) or not iterable(val)

def _get_data_server(cache_dir, baseurl):
    import urllib2
    class ViewVCCachedServer(urllib2.HTTPSHandler):
        """
        Urllib2 handler that takes care of caching files.
        The file cache.pck holds the directory of files that have been cached.
        """
        def __init__(self, cache_dir, baseurl):
            urllib2.HTTPSHandler.__init__(self)
            self.cache_dir = cache_dir
            self.baseurl = baseurl
            self.read_cache()
            self.remove_stale_files()
            self.opener = urllib2.build_opener(self)

        def in_cache_dir(self, fn):
            # make sure the datadir exists
            reldir, filename = os.path.split(fn)
            datadir = os.path.join(self.cache_dir, reldir)
            if not os.path.exists(datadir):
                os.makedirs(datadir)

            return os.path.join(datadir, filename)

        def read_cache(self):
            """
            Read the cache file from the cache directory.
            """
            fn = self.in_cache_dir('cache.pck')
            if not os.path.exists(fn):
                self.cache = {}
                return

            f = open(fn, 'rb')
            cache = cPickle.load(f)
            f.close()

            # Earlier versions did not have the full paths in cache.pck
            for url, (fn, x, y) in cache.items():
                if not os.path.isabs(fn):
                    cache[url] = (self.in_cache_dir(fn), x, y)

            # If any files are deleted, drop them from the cache
            for url, (fn, _, _) in cache.items():
                if not os.path.exists(fn):
                    del cache[url]

            self.cache = cache

        def remove_stale_files(self):
            """
            Remove files from the cache directory that are not listed in
            cache.pck.
            """
            # TODO: remove empty subdirectories
            listed = set(fn for (_, (fn, _, _)) in self.cache.items())
            existing = reduce(set.union,
                (set(os.path.join(dirpath, fn) for fn in filenames)
                    for (dirpath, _, filenames) in os.walk(self.cache_dir)))
            matplotlib.verbose.report(
                'ViewVCCachedServer: files listed in cache.pck: %s' % listed,
                'debug')
            matplotlib.verbose.report(
                'ViewVCCachedServer: files in cache directory: %s' % existing,
                'debug')

            for path in existing - listed - \
                    set([self.in_cache_dir('cache.pck')]):
                matplotlib.verbose.report(
                    'ViewVCCachedServer:remove_stale_files: removing %s'%path,
                    level='debug')
                os.remove(path)

        def write_cache(self):
            """
            Write the cache data structure into the cache directory.
            """
            fn = self.in_cache_dir('cache.pck')
            f = open(fn, 'wb')
            cPickle.dump(self.cache, f, -1)
            f.close()

        def cache_file(self, url, data, headers):
            """
            Store a received file in the cache directory.
            """
            # Pick a filename
            fn = url[len(self.baseurl):]
            fullpath = self.in_cache_dir(fn)

            f = open(fullpath, 'wb')
            f.write(data)
            f.close()

            # Update the cache
            self.cache[url] = (fullpath, headers.get('ETag'),
                               headers.get('Last-Modified'))
            self.write_cache()

        # These urllib2 entry points are used:
        # http_request for preprocessing requests
        # http_error_304 for handling 304 Not Modified responses
        # http_response for postprocessing requests

        def https_request(self, req):
            """
            Make the request conditional if we have a cached file.
            """
            url = req.get_full_url()
            if url in self.cache:
                _, etag, lastmod = self.cache[url]
                if etag is not None:
                    req.add_header("If-None-Match", etag)
                if lastmod is not None:
                    req.add_header("If-Modified-Since", lastmod)
            matplotlib.verbose.report(
                "ViewVCCachedServer: request headers %s" % req.header_items(),
                "debug")
            return req

        def https_error_304(self, req, fp, code, msg, hdrs):
            """
            Read the file from the cache since the server has no newer version.
            """
            url = req.get_full_url()
            fn, _, _ = self.cache[url]
            matplotlib.verbose.report(
                'ViewVCCachedServer: reading data file from cache file "%s"'
                %fn, 'debug')
            file = open(fn, 'rb')
            handle = urllib2.addinfourl(file, hdrs, url)
            handle.code = 304
            return handle

        def https_response(self, req, response):
            """
            Update the cache with the returned file.
            """
            matplotlib.verbose.report(
                'ViewVCCachedServer: received response %d: %s'
                % (response.code, response.msg), 'debug')
            if response.code != 200:
                return response
            else:
                data = response.read()
                self.cache_file(req.get_full_url(), data, response.headers)
                result = urllib2.addinfourl(StringIO.StringIO(data),
                                            response.headers,
                                            req.get_full_url())
                result.code = response.code
                result.msg = response.msg
                return result

        def get_sample_data(self, fname, asfileobj=True):
            """
            Check the cachedirectory for a sample_data file.  If it does
            not exist, fetch it with urllib from the git repo and
            store it in the cachedir.

            If asfileobj is True, a file object will be returned.  Else the
            path to the file as a string will be returned.
            """
            # TODO: time out if the connection takes forever
            # (may not be possible with urllib2 only - spawn a helper process?)

            # quote is not in python2.4, so check for it and get it from
            # urllib if it is not available
            quote = getattr(urllib2, 'quote', None)
            if quote is None:
                import urllib
                quote = urllib.quote

            # retrieve the URL for the side effect of refreshing the cache
            url = self.baseurl + quote(fname)
            error = 'unknown error'
            matplotlib.verbose.report('ViewVCCachedServer: retrieving %s'
                                      % url, 'debug')
            try:
                response = self.opener.open(url)
            except urllib2.URLError, e:
                # could be a missing network connection
                error = str(e)

            cached = self.cache.get(url)
            if cached is None:
                msg = 'file %s not in cache; received %s when trying to '\
                      'retrieve' % (fname, error)
                raise KeyError(msg)

            fname = cached[0]

            if asfileobj:
                if (os.path.splitext(fname)[-1].lower() in
                       ('.csv', '.xrc', '.txt')):
                    mode = 'r'
                else:
                    mode = 'rb'
                return open(fname, mode)
            else:
                return fname

    return ViewVCCachedServer(cache_dir, baseurl)


def get_sample_data(fname, asfileobj=True):
    """
    Check the cachedirectory ~/.matplotlib/sample_data for a sample_data
    file.  If it does not exist, fetch it with urllib from the mpl git repo

      https://raw.github.com/matplotlib/sample_data/master

    and store it in the cachedir.

    If asfileobj is True, a file object will be returned.  Else the
    path to the file as a string will be returned

    To add a datafile to this directory, you need to check out
    sample_data from matplotlib git::

      git clone git@github.com:matplotlib/sample_data

    and git add the data file you want to support.  This is primarily
    intended for use in mpl examples that need custom data.

    To bypass all downloading, set the rc parameter examples.download to False
    and examples.directory to the directory where we should look.
    """

    if not matplotlib.rcParams['examples.download']:
        directory = matplotlib.rcParams['examples.directory']
        f = os.path.join(directory, fname)
        if asfileobj:
            return open(f, 'rb')
        else:
            return f

    myserver = get_sample_data.myserver
    if myserver is None:
        configdir = matplotlib.get_configdir()
        cachedir = os.path.join(configdir, 'sample_data')
        baseurl = 'https://raw.github.com/matplotlib/sample_data/master/'
        try:
            myserver = _get_data_server(cachedir, baseurl)
            get_sample_data.myserver = myserver
        except ImportError:
            raise ImportError(
                'Python must be built with SSL support to fetch sample data '
                'from the matplotlib repository')

    return myserver.get_sample_data(fname, asfileobj=asfileobj)

get_sample_data.myserver = None

def flatten(seq, scalarp=is_scalar_or_string):
    """
    this generator flattens nested containers such as

    >>> l=( ('John', 'Hunter'), (1,23), [[[[42,(5,23)]]]])

    so that

    >>> for i in flatten(l): print i,
    John Hunter 1 23 42 5 23

    By: Composite of Holger Krekel and Luther Blissett
    From: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/121294
    and Recipe 1.12 in cookbook
    """
    for item in seq:
        if scalarp(item): yield item
        else:
            for subitem in flatten(item, scalarp):
                yield subitem



class Sorter:
    """

    Sort by attribute or item

    Example usage::

      sort = Sorter()

      list = [(1, 2), (4, 8), (0, 3)]
      dict = [{'a': 3, 'b': 4}, {'a': 5, 'b': 2}, {'a': 0, 'b': 0},
              {'a': 9, 'b': 9}]


      sort(list)       # default sort
      sort(list, 1)    # sort by index 1
      sort(dict, 'a')  # sort a list of dicts by key 'a'

    """

    def _helper(self, data, aux, inplace):
        aux.sort()
        result = [data[i] for junk, i in aux]
        if inplace: data[:] = result
        return result

    def byItem(self, data, itemindex=None, inplace=1):
        if itemindex is None:
            if inplace:
                data.sort()
                result = data
            else:
                result = data[:]
                result.sort()
            return result
        else:
            aux = [(data[i][itemindex], i) for i in range(len(data))]
            return self._helper(data, aux, inplace)

    def byAttribute(self, data, attributename, inplace=1):
        aux = [(getattr(data[i],attributename),i) for i in range(len(data))]
        return self._helper(data, aux, inplace)

    # a couple of handy synonyms
    sort = byItem
    __call__ = byItem





class Xlator(dict):
    """
    All-in-one multiple-string-substitution class

    Example usage::

      text = "Larry Wall is the creator of Perl"
      adict = {
      "Larry Wall" : "Guido van Rossum",
      "creator" : "Benevolent Dictator for Life",
      "Perl" : "Python",
      }

      print multiple_replace(adict, text)

      xlat = Xlator(adict)
      print xlat.xlat(text)
    """

    def _make_regex(self):
        """ Build re object based on the keys of the current dictionary """
        return re.compile("|".join(map(re.escape, self.keys())))

    def __call__(self, match):
        """ Handler invoked for each regex *match* """
        return self[match.group(0)]

    def xlat(self, text):
        """ Translate *text*, returns the modified text. """
        return self._make_regex().sub(self, text)



def soundex(name, len=4):
    """ soundex module conforming to Odell-Russell algorithm """

    # digits holds the soundex values for the alphabet
    soundex_digits = '01230120022455012623010202'
    sndx = ''
    fc = ''

    # Translate letters in name to soundex digits
    for c in name.upper():
        if c.isalpha():
            if not fc: fc = c   # Remember first letter
            d = soundex_digits[ord(c)-ord('A')]
            # Duplicate consecutive soundex digits are skipped
            if not sndx or (d != sndx[-1]):
                sndx += d

    # Replace first digit with first letter
    sndx = fc + sndx[1:]

    # Remove all 0s from the soundex code
    sndx = sndx.replace('0', '')

    # Return soundex code truncated or 0-padded to len characters
    return (sndx + (len * '0'))[:len]



class Null:
    """ Null objects always and reliably "do nothing." """

    def __init__(self, *args, **kwargs): pass
    def __call__(self, *args, **kwargs): return self
    def __str__(self): return "Null()"
    def __repr__(self): return "Null()"
    def __nonzero__(self): return 0

    def __getattr__(self, name): return self
    def __setattr__(self, name, value): return self
    def __delattr__(self, name): return self




def mkdirs(newdir, mode=0777):
    """
    make directory *newdir* recursively, and set *mode*.  Equivalent to ::

        > mkdir -p NEWDIR
        > chmod MODE NEWDIR
    """
    try:
        if not os.path.exists(newdir):
            parts = os.path.split(newdir)
            for i in range(1, len(parts)+1):
                thispart = os.path.join(*parts[:i])
                if not os.path.exists(thispart):
                    os.makedirs(thispart, mode)

    except OSError, err:
        # Reraise the error unless it's about an already existing directory
        if err.errno != errno.EEXIST or not os.path.isdir(newdir):
            raise


class GetRealpathAndStat:
    def __init__(self):
        self._cache = {}

    def __call__(self, path):
        result = self._cache.get(path)
        if result is None:
            realpath = os.path.realpath(path)
            if sys.platform == 'win32':
                stat_key = realpath
            else:
                stat = os.stat(realpath)
                stat_key = (stat.st_ino, stat.st_dev)
            result = realpath, stat_key
            self._cache[path] = result
        return result
get_realpath_and_stat = GetRealpathAndStat()

def dict_delall(d, keys):
    'delete all of the *keys* from the :class:`dict` *d*'
    for key in keys:
        try: del d[key]
        except KeyError: pass


class RingBuffer:
    """ class that implements a not-yet-full buffer """
    def __init__(self,size_max):
        self.max = size_max
        self.data = []

    class __Full:
        """ class that implements a full buffer """
        def append(self, x):
            """ Append an element overwriting the oldest one. """
            self.data[self.cur] = x
            self.cur = (self.cur+1) % self.max
        def get(self):
            """ return list of elements in correct order """
            return self.data[self.cur:]+self.data[:self.cur]

    def append(self,x):
        """append an element at the end of the buffer"""
        self.data.append(x)
        if len(self.data) == self.max:
            self.cur = 0
            # Permanently change self's class from non-full to full
            self.__class__ = __Full

    def get(self):
        """ Return a list of elements from the oldest to the newest. """
        return self.data

    def __get_item__(self, i):
        return self.data[i % len(self.data)]



def get_split_ind(seq, N):
    """
    *seq* is a list of words.  Return the index into seq such that::

        len(' '.join(seq[:ind])<=N

    .
    """

    sLen = 0
    # todo: use Alex's xrange pattern from the cbook for efficiency
    for (word, ind) in zip(seq, range(len(seq))):
        sLen += len(word) + 1  # +1 to account for the len(' ')
        if sLen>=N: return ind
    return len(seq)


def wrap(prefix, text, cols):
    'wrap *text* with *prefix* at length *cols*'
    pad = ' '*len(prefix.expandtabs())
    available = cols - len(pad)

    seq = text.split(' ')
    Nseq = len(seq)
    ind = 0
    lines = []
    while ind<Nseq:
        lastInd = ind
        ind += get_split_ind(seq[ind:], available)
        lines.append(seq[lastInd:ind])

    # add the prefix to the first line, pad with spaces otherwise
    ret = prefix + ' '.join(lines[0]) + '\n'
    for line in lines[1:]:
        ret += pad + ' '.join(line) + '\n'
    return ret

# A regular expression used to determine the amount of space to
# remove.  It looks for the first sequence of spaces immediately
# following the first newline, or at the beginning of the string.
_find_dedent_regex = re.compile("(?:(?:\n\r?)|^)( *)\S")
# A cache to hold the regexs that actually remove the indent.
_dedent_regex = {}
def dedent(s):
    """
    Remove excess indentation from docstring *s*.

    Discards any leading blank lines, then removes up to n whitespace
    characters from each line, where n is the number of leading
    whitespace characters in the first line. It differs from
    textwrap.dedent in its deletion of leading blank lines and its use
    of the first non-blank line to determine the indentation.

    It is also faster in most cases.
    """
    # This implementation has a somewhat obtuse use of regular
    # expressions.  However, this function accounted for almost 30% of
    # matplotlib startup time, so it is worthy of optimization at all
    # costs.

    if not s:      # includes case of s is None
        return ''

    match = _find_dedent_regex.match(s)
    if match is None:
        return s

    # This is the number of spaces to remove from the left-hand side.
    nshift = match.end(1) - match.start(1)
    if nshift == 0:
        return s

    # Get a regex that will remove *up to* nshift spaces from the
    # beginning of each line.  If it isn't in the cache, generate it.
    unindent = _dedent_regex.get(nshift, None)
    if unindent is None:
        unindent = re.compile("\n\r? {0,%d}" % nshift)
        _dedent_regex[nshift] = unindent

    result = unindent.sub("\n", s).strip()
    return result


def listFiles(root, patterns='*', recurse=1, return_folders=0):
    """
    Recursively list files

    from Parmar and Martelli in the Python Cookbook
    """
    import os.path, fnmatch
    # Expand patterns from semicolon-separated string to list
    pattern_list = patterns.split(';')
    # Collect input and output arguments into one bunch
    class Bunch:
        def __init__(self, **kwds): self.__dict__.update(kwds)
    arg = Bunch(recurse=recurse, pattern_list=pattern_list,
        return_folders=return_folders, results=[])

    def visit(arg, dirname, files):
        # Append to arg.results all relevant files (and perhaps folders)
        for name in files:
            fullname = os.path.normpath(os.path.join(dirname, name))
            if arg.return_folders or os.path.isfile(fullname):
                for pattern in arg.pattern_list:
                    if fnmatch.fnmatch(name, pattern):
                        arg.results.append(fullname)
                        break
        # Block recursion if recursion was disallowed
        if not arg.recurse: files[:]=[]

    os.path.walk(root, visit, arg)

    return arg.results

def get_recursive_filelist(args):
    """
    Recurse all the files and dirs in *args* ignoring symbolic links
    and return the files as a list of strings
    """
    files = []

    for arg in args:
        if os.path.isfile(arg):
            files.append(arg)
            continue
        if os.path.isdir(arg):
            newfiles = listFiles(arg, recurse=1, return_folders=1)
            files.extend(newfiles)

    return [f for f in files if not os.path.islink(f)]



def pieces(seq, num=2):
    "Break up the *seq* into *num* tuples"
    start = 0
    while 1:
        item = seq[start:start+num]
        if not len(item): break
        yield item
        start += num

def exception_to_str(s = None):

    sh = StringIO.StringIO()
    if s is not None: print >>sh, s
    traceback.print_exc(file=sh)
    return sh.getvalue()


def allequal(seq):
    """
    Return *True* if all elements of *seq* compare equal.  If *seq* is
    0 or 1 length, return *True*
    """
    if len(seq)<2: return True
    val = seq[0]
    for i in xrange(1, len(seq)):
        thisval = seq[i]
        if thisval != val: return False
    return True

def alltrue(seq):
    """
    Return *True* if all elements of *seq* evaluate to *True*.  If
    *seq* is empty, return *False*.
    """
    if not len(seq): return False
    for val in seq:
        if not val: return False
    return True

def onetrue(seq):
    """
    Return *True* if one element of *seq* is *True*.  It *seq* is
    empty, return *False*.
    """
    if not len(seq): return False
    for val in seq:
        if val: return True
    return False

def allpairs(x):
    """
    return all possible pairs in sequence *x*

    Condensed by Alex Martelli from this thread_ on c.l.python

    .. _thread: http://groups.google.com/groups?q=all+pairs+group:*python*&hl=en&lr=&ie=UTF-8&selm=mailman.4028.1096403649.5135.python-list%40python.org&rnum=1
    """
    return [ (s, f) for i, f in enumerate(x) for s in x[i+1:] ]



class maxdict(dict):
    """
    A dictionary with a maximum size; this doesn't override all the
    relevant methods to contrain size, just setitem, so use with
    caution
    """
    def __init__(self, maxsize):
        dict.__init__(self)
        self.maxsize = maxsize
        self._killkeys = []
    def __setitem__(self, k, v):
        if k not in self:
            if len(self)>=self.maxsize:
                del self[self._killkeys[0]]
                del self._killkeys[0]
            self._killkeys.append(k)
        dict.__setitem__(self, k, v)



class Stack(object):
    """
    Implement a stack where elements can be pushed on and you can move
    back and forth.  But no pop.  Should mimic home / back / forward
    in a browser
    """

    def __init__(self, default=None):
        self.clear()
        self._default = default

    def __call__(self):
        'return the current element, or None'
        if not len(self._elements): return self._default
        else: return self._elements[self._pos]

    def __len__(self):
        return self._elements.__len__()

    def __getitem__(self, ind):
        return self._elements.__getitem__(ind)

    def forward(self):
        'move the position forward and return the current element'
        N = len(self._elements)
        if self._pos<N-1: self._pos += 1
        return self()

    def back(self):
        'move the position back and return the current element'
        if self._pos>0: self._pos -= 1
        return self()

    def push(self, o):
        """
        push object onto stack at current position - all elements
        occurring later than the current position are discarded
        """
        self._elements = self._elements[:self._pos+1]
        self._elements.append(o)
        self._pos = len(self._elements)-1
        return self()

    def home(self):
        'push the first element onto the top of the stack'
        if not len(self._elements): return
        self.push(self._elements[0])
        return self()

    def empty(self):
        return len(self._elements)==0

    def clear(self):
        'empty the stack'
        self._pos = -1
        self._elements = []

    def bubble(self, o):
        """
        raise *o* to the top of the stack and return *o*.  *o* must be
        in the stack
        """

        if o not in self._elements:
            raise ValueError('Unknown element o')
        old = self._elements[:]
        self.clear()
        bubbles = []
        for thiso in old:
            if thiso==o: bubbles.append(thiso)
            else: self.push(thiso)
        for thiso in bubbles:
            self.push(o)
        return o

    def remove(self, o):
        'remove element *o* from the stack'
        if o not in self._elements:
            raise ValueError('Unknown element o')
        old = self._elements[:]
        self.clear()
        for thiso in old:
            if thiso==o: continue
            else: self.push(thiso)

def popall(seq):
    'empty a list'
    for i in xrange(len(seq)): seq.pop()

def finddir(o, match, case=False):
    """
    return all attributes of *o* which match string in match.  if case
    is True require an exact case match.
    """
    if case:
        names = [(name,name) for name in dir(o) if is_string_like(name)]
    else:
        names = [(name.lower(), name) for name in dir(o) if is_string_like(name)]
        match = match.lower()
    return [orig for name, orig in names if name.find(match)>=0]

def reverse_dict(d):
    'reverse the dictionary -- may lose data if values are not unique!'
    return dict([(v,k) for k,v in d.items()])

def restrict_dict(d, keys):
    """
    Return a dictionary that contains those keys that appear in both
    d and keys, with values from d.
    """
    return dict([(k,v) for (k,v) in d.iteritems() if k in keys])

def report_memory(i=0):  # argument may go away
    'return the memory consumed by process'
    from subprocess import Popen, PIPE
    pid = os.getpid()
    if sys.platform=='sunos5':
        a2 = Popen('ps -p %d -o osz' % pid, shell=True,
            stdout=PIPE).stdout.readlines()
        mem = int(a2[-1].strip())
    elif sys.platform.startswith('linux'):
        a2 = Popen('ps -p %d -o rss,sz' % pid, shell=True,
            stdout=PIPE).stdout.readlines()
        mem = int(a2[1].split()[1])
    elif sys.platform.startswith('darwin'):
        a2 = Popen('ps -p %d -o rss,vsz' % pid, shell=True,
            stdout=PIPE).stdout.readlines()
        mem = int(a2[1].split()[0])
    elif sys.platform.startswith('win'):
        try:
            a2 = Popen(["tasklist", "/nh", "/fi", "pid eq %d" % pid],
                stdout=PIPE).stdout.read()
        except OSError:
            raise NotImplementedError(
                "report_memory works on Windows only if "
                "the 'tasklist' program is found")
        mem = int(a2.strip().split()[-2].replace(',',''))
    else:
        raise NotImplementedError(
                "We don't have a memory monitor for %s" % sys.platform)
    return mem

_safezip_msg = 'In safezip, len(args[0])=%d but len(args[%d])=%d'
def safezip(*args):
    'make sure *args* are equal len before zipping'
    Nx = len(args[0])
    for i, arg in enumerate(args[1:]):
        if len(arg) != Nx:
            raise ValueError(_safezip_msg % (Nx, i+1, len(arg)))
    return zip(*args)

def issubclass_safe(x, klass):
    'return issubclass(x, klass) and return False on a TypeError'

    try:
        return issubclass(x, klass)
    except TypeError:
        return False

def safe_masked_invalid(x):
    x = np.asanyarray(x)
    try:
        xm = np.ma.masked_invalid(x, copy=False)
        xm.shrink_mask()
    except TypeError:
        return x
    return xm

class MemoryMonitor:
    def __init__(self, nmax=20000):
        self._nmax = nmax
        self._mem = np.zeros((self._nmax,), np.int32)
        self.clear()

    def clear(self):
        self._n = 0
        self._overflow = False

    def __call__(self):
        mem = report_memory()
        if self._n < self._nmax:
            self._mem[self._n] = mem
            self._n += 1
        else:
            self._overflow = True
        return mem

    def report(self, segments=4):
        n = self._n
        segments = min(n, segments)
        dn = int(n/segments)
        ii = range(0, n, dn)
        ii[-1] = n-1
        print
        print 'memory report: i, mem, dmem, dmem/nloops'
        print 0, self._mem[0]
        for i in range(1, len(ii)):
            di = ii[i] - ii[i-1]
            if di == 0:
                continue
            dm = self._mem[ii[i]] - self._mem[ii[i-1]]
            print '%5d %5d %3d %8.3f' % (ii[i], self._mem[ii[i]],
                                            dm, dm / float(di))
        if self._overflow:
            print "Warning: array size was too small for the number of calls."

    def xy(self, i0=0, isub=1):
        x = np.arange(i0, self._n, isub)
        return x, self._mem[i0:self._n:isub]

    def plot(self, i0=0, isub=1, fig=None):
        if fig is None:
            from pylab import figure, show
            fig = figure()

        ax = fig.add_subplot(111)
        ax.plot(*self.xy(i0, isub))
        fig.canvas.draw()


def print_cycles(objects, outstream=sys.stdout, show_progress=False):
    """
    *objects*
        A list of objects to find cycles in.  It is often useful to
        pass in gc.garbage to find the cycles that are preventing some
        objects from being garbage collected.

    *outstream*
        The stream for output.

    *show_progress*
        If True, print the number of objects reached as they are found.
    """
    import gc
    from types import FrameType

    def print_path(path):
        for i, step in enumerate(path):
            # next "wraps around"
            next = path[(i + 1) % len(path)]

            outstream.write("   %s -- " % str(type(step)))
            if isinstance(step, dict):
                for key, val in step.items():
                    if val is next:
                        outstream.write("[%s]" % repr(key))
                        break
                    if key is next:
                        outstream.write("[key] = %s" % repr(val))
                        break
            elif isinstance(step, list):
                outstream.write("[%d]" % step.index(next))
            elif isinstance(step, tuple):
                outstream.write("( tuple )")
            else:
                outstream.write(repr(step))
            outstream.write(" ->\n")
        outstream.write("\n")

    def recurse(obj, start, all, current_path):
        if show_progress:
            outstream.write("%d\r" % len(all))

        all[id(obj)] = None

        referents = gc.get_referents(obj)
        for referent in referents:
            # If we've found our way back to the start, this is
            # a cycle, so print it out
            if referent is start:
                print_path(current_path)

            # Don't go back through the original list of objects, or
            # through temporary references to the object, since those
            # are just an artifact of the cycle detector itself.
            elif referent is objects or isinstance(referent, FrameType):
                continue

            # We haven't seen this object before, so recurse
            elif id(referent) not in all:
                recurse(referent, start, all, current_path + [obj])

    for obj in objects:
        outstream.write("Examining: %r\n" % (obj,))
        recurse(obj, obj, { }, [])

class Grouper(object):
    """
    This class provides a lightweight way to group arbitrary objects
    together into disjoint sets when a full-blown graph data structure
    would be overkill.

    Objects can be joined using :meth:`join`, tested for connectedness
    using :meth:`joined`, and all disjoint sets can be retreived by
    using the object as an iterator.

    The objects being joined must be hashable and weak-referenceable.

    For example:

    >>> class Foo:
    ...     def __init__(self, s):
    ...             self.s = s
    ...     def __repr__(self):
    ...             return self.s
    ...
    >>> a, b, c, d, e, f = [Foo(x) for x in 'abcdef']
    >>> g = Grouper()
    >>> g.join(a, b)
    >>> g.join(b, c)
    >>> g.join(d, e)
    >>> list(g)
    [[d, e], [a, b, c]]
    >>> g.joined(a, b)
    True
    >>> g.joined(a, c)
    True
    >>> g.joined(a, d)
    False
    """
    def __init__(self, init=[]):
        mapping = self._mapping = {}
        for x in init:
            mapping[ref(x)] = [ref(x)]

    def __contains__(self, item):
        return ref(item) in self._mapping

    def clean(self):
        """
        Clean dead weak references from the dictionary
        """
        mapping = self._mapping
        for key, val in mapping.items():
            if key() is None:
                del mapping[key]
                val.remove(key)

    def join(self, a, *args):
        """
        Join given arguments into the same set.  Accepts one or more
        arguments.
        """
        mapping = self._mapping
        set_a = mapping.setdefault(ref(a), [ref(a)])

        for arg in args:
            set_b = mapping.get(ref(arg))
            if set_b is None:
                set_a.append(ref(arg))
                mapping[ref(arg)] = set_a
            elif set_b is not set_a:
                if len(set_b) > len(set_a):
                    set_a, set_b = set_b, set_a
                set_a.extend(set_b)
                for elem in set_b:
                    mapping[elem] = set_a

        self.clean()

    def joined(self, a, b):
        """
        Returns True if *a* and *b* are members of the same set.
        """
        self.clean()

        mapping = self._mapping
        try:
            return mapping[ref(a)] is mapping[ref(b)]
        except KeyError:
            return False

    def __iter__(self):
        """
        Iterate over each of the disjoint sets as a list.

        The iterator is invalid if interleaved with calls to join().
        """
        self.clean()

        class Token: pass
        token = Token()

        # Mark each group as we come across if by appending a token,
        # and don't yield it twice
        for group in self._mapping.itervalues():
            if not group[-1] is token:
                yield [x() for x in group]
                group.append(token)

        # Cleanup the tokens
        for group in self._mapping.itervalues():
            if group[-1] is token:
                del group[-1]

    def get_siblings(self, a):
        """
        Returns all of the items joined with *a*, including itself.
        """
        self.clean()

        siblings = self._mapping.get(ref(a), [ref(a)])
        return [x() for x in siblings]


def simple_linear_interpolation(a, steps):
    if steps == 1:
        return a

    steps = np.floor(steps)
    new_length = ((len(a) - 1) * steps) + 1
    new_shape = list(a.shape)
    new_shape[0] = new_length
    result = np.zeros(new_shape, a.dtype)

    result[0] = a[0]
    a0 = a[0:-1]
    a1 = a[1:  ]
    delta = ((a1 - a0) / steps)

    for i in range(1, int(steps)):
        result[i::steps] = delta * i + a0
    result[steps::steps] = a1

    return result

def recursive_remove(path):
    if os.path.isdir(path):
        for fname in glob.glob(os.path.join(path, '*')) + glob.glob(os.path.join(path, '.*')):
            if os.path.isdir(fname):
                recursive_remove(fname)
                os.removedirs(fname)
            else:
                os.remove(fname)
        #os.removedirs(path)
    else:
        os.remove(path)

def delete_masked_points(*args):
    """
    Find all masked and/or non-finite points in a set of arguments,
    and return the arguments with only the unmasked points remaining.

    Arguments can be in any of 5 categories:

    1) 1-D masked arrays
    2) 1-D ndarrays
    3) ndarrays with more than one dimension
    4) other non-string iterables
    5) anything else

    The first argument must be in one of the first four categories;
    any argument with a length differing from that of the first
    argument (and hence anything in category 5) then will be
    passed through unchanged.

    Masks are obtained from all arguments of the correct length
    in categories 1, 2, and 4; a point is bad if masked in a masked
    array or if it is a nan or inf.  No attempt is made to
    extract a mask from categories 2, 3, and 4 if :meth:`np.isfinite`
    does not yield a Boolean array.

    All input arguments that are not passed unchanged are returned
    as ndarrays after removing the points or rows corresponding to
    masks in any of the arguments.

    A vastly simpler version of this function was originally
    written as a helper for Axes.scatter().

    """
    if not len(args):
        return ()
    if (is_string_like(args[0]) or not iterable(args[0])):
        raise ValueError("First argument must be a sequence")
    nrecs = len(args[0])
    margs = []
    seqlist = [False] * len(args)
    for i, x in enumerate(args):
        if (not is_string_like(x)) and iterable(x) and len(x) == nrecs:
            seqlist[i] = True
            if ma.isMA(x):
                if x.ndim > 1:
                    raise ValueError("Masked arrays must be 1-D")
            else:
                x = np.asarray(x)
        margs.append(x)
    masks = []    # list of masks that are True where good
    for i, x in enumerate(margs):
        if seqlist[i]:
            if x.ndim > 1:
                continue  # Don't try to get nan locations unless 1-D.
            if ma.isMA(x):
                masks.append(~ma.getmaskarray(x))  # invert the mask
                xd = x.data
            else:
                xd = x
            try:
                mask = np.isfinite(xd)
                if isinstance(mask, np.ndarray):
                    masks.append(mask)
            except: #Fixme: put in tuple of possible exceptions?
                pass
    if len(masks):
        mask = reduce(np.logical_and, masks)
        igood = mask.nonzero()[0]
        if len(igood) < nrecs:
            for i, x in enumerate(margs):
                if seqlist[i]:
                    margs[i] = x.take(igood, axis=0)
    for i, x in enumerate(margs):
        if seqlist[i] and ma.isMA(x):
            margs[i] = x.filled()
    return margs

def unmasked_index_ranges(mask, compressed = True):
    '''
    Find index ranges where *mask* is *False*.

    *mask* will be flattened if it is not already 1-D.

    Returns Nx2 :class:`numpy.ndarray` with each row the start and stop
    indices for slices of the compressed :class:`numpy.ndarray`
    corresponding to each of *N* uninterrupted runs of unmasked
    values.  If optional argument *compressed* is *False*, it returns
    the start and stop indices into the original :class:`numpy.ndarray`,
    not the compressed :class:`numpy.ndarray`.  Returns *None* if there
    are no unmasked values.

    Example::

      y = ma.array(np.arange(5), mask = [0,0,1,0,0])
      ii = unmasked_index_ranges(ma.getmaskarray(y))
      # returns array [[0,2,] [2,4,]]

      y.compressed()[ii[1,0]:ii[1,1]]
      # returns array [3,4,]

      ii = unmasked_index_ranges(ma.getmaskarray(y), compressed=False)
      # returns array [[0, 2], [3, 5]]

      y.filled()[ii[1,0]:ii[1,1]]
      # returns array [3,4,]

    Prior to the transforms refactoring, this was used to support
    masked arrays in Line2D.

    '''
    mask = mask.reshape(mask.size)
    m = np.concatenate(((1,), mask, (1,)))
    indices = np.arange(len(mask) + 1)
    mdif = m[1:] - m[:-1]
    i0 = np.compress(mdif == -1, indices)
    i1 = np.compress(mdif == 1, indices)
    assert len(i0) == len(i1)
    if len(i1) == 0:
        return None  # Maybe this should be np.zeros((0,2), dtype=int)
    if not compressed:
        return np.concatenate((i0[:, np.newaxis], i1[:, np.newaxis]), axis=1)
    seglengths = i1 - i0
    breakpoints = np.cumsum(seglengths)
    ic0 = np.concatenate(((0,), breakpoints[:-1]))
    ic1 = breakpoints
    return np.concatenate((ic0[:, np.newaxis], ic1[:, np.newaxis]), axis=1)

# a dict to cross-map linestyle arguments
_linestyles = [('-', 'solid'),
    ('--', 'dashed'),
    ('-.', 'dashdot'),
    (':',  'dotted')]

ls_mapper = dict(_linestyles)
ls_mapper.update([(ls[1], ls[0]) for ls in _linestyles])

def less_simple_linear_interpolation( x, y, xi, extrap=False ):
    """
    This function has been moved to matplotlib.mlab -- please import
    it from there
    """
    # deprecated from cbook in 0.98.4
    warnings.warn('less_simple_linear_interpolation has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
    import matplotlib.mlab as mlab
    return mlab.less_simple_linear_interpolation( x, y, xi, extrap=extrap )

def isvector(X):
    """
    This function has been moved to matplotlib.mlab -- please import
    it from there
    """
    # deprecated from cbook in 0.98.4
    warnings.warn('isvector has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
    import matplotlib.mlab as mlab
    return mlab.isvector( x, y, xi, extrap=extrap )

def vector_lengths( X, P=2., axis=None ):
    """
    This function has been moved to matplotlib.mlab -- please import
    it from there
    """
    # deprecated from cbook in 0.98.4
    warnings.warn('vector_lengths has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
    import matplotlib.mlab as mlab
    return mlab.vector_lengths( X, P=2., axis=axis )

def distances_along_curve( X ):
    """
    This function has been moved to matplotlib.mlab -- please import
    it from there
    """
    # deprecated from cbook in 0.98.4
    warnings.warn('distances_along_curve has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
    import matplotlib.mlab as mlab
    return mlab.distances_along_curve( X )

def path_length(X):
    """
    This function has been moved to matplotlib.mlab -- please import
    it from there
    """
    # deprecated from cbook in 0.98.4
    warnings.warn('path_length has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
    import matplotlib.mlab as mlab
    return mlab.path_length(X)

def is_closed_polygon(X):
    """
    This function has been moved to matplotlib.mlab -- please import
    it from there
    """
    # deprecated from cbook in 0.98.4
    warnings.warn('is_closed_polygon has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
    import matplotlib.mlab as mlab
    return mlab.is_closed_polygon(X)

def quad2cubic(q0x, q0y, q1x, q1y, q2x, q2y):
    """
    This function has been moved to matplotlib.mlab -- please import
    it from there
    """
    # deprecated from cbook in 0.98.4
    warnings.warn('quad2cubic has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
    import matplotlib.mlab as mlab
    return mlab.quad2cubic(q0x, q0y, q1x, q1y, q2x, q2y)

def align_iterators(func, *iterables):
    """
    This generator takes a bunch of iterables that are ordered by func
    It sends out ordered tuples:

      (func(row), [rows from all iterators matching func(row)])

    It is used by :func:`matplotlib.mlab.recs_join` to join record arrays
    """
    class myiter:
        def __init__(self, it):
            self.it = it
            self.key = self.value = None
            self.iternext()

        def iternext(self):
            try:
                self.value = self.it.next()
                self.key = func(self.value)
            except StopIteration:
                self.value = self.key = None

        def __call__(self, key):
            retval = None
            if key == self.key:
                retval = self.value
                self.iternext()
            elif self.key and key > self.key:
                raise ValueError, "Iterator has been left behind"
            return retval

    # This can be made more efficient by not computing the minimum key for each iteration
    iters = [myiter(it) for it in iterables]
    minvals = minkey = True
    while 1:
        minvals = (filter(None, [it.key for it in iters]))
        if minvals:
            minkey = min(minvals)
            yield (minkey, [it(minkey) for it in iters])
        else:
            break

def is_math_text(s):
    # Did we find an even number of non-escaped dollar signs?
    # If so, treat is as math text.
    try:
        s = unicode(s)
    except UnicodeDecodeError:
        raise ValueError(
            "matplotlib display text must have all code points < 128 or use Unicode strings")

    dollar_count = s.count(r'$') - s.count(r'\$')
    even_dollars = (dollar_count > 0 and dollar_count % 2 == 0)

    return even_dollars

# Numpy > 1.6.x deprecates putmask in favor of the new copyto.
# So long as we support versions 1.6.x and less, we need the
# following local version of putmask.  We choose to make a
# local version of putmask rather than of copyto because the
# latter includes more functionality than the former. Therefore
# it is easy to make a local version that gives full putmask
# behavior, but duplicating the full copyto behavior would be
# more difficult.

try:
    np.copyto
except AttributeError:
    _putmask = np.putmask
else:
    def _putmask(a, mask, values):
        return np.copyto(a, values, where=mask)


if __name__=='__main__':
    assert( allequal([1,1,1]) )
    assert(not  allequal([1,1,0]) )
    assert( allequal([]) )
    assert( allequal(('a', 'a')))
    assert( not allequal(('a', 'b')))