| """functools.py - Tools for working with functions and callable objects |
| """ |
| # Python module wrapper for _functools C module |
| # to allow utilities written in Python to be added |
| # to the functools module. |
| # Written by Nick Coghlan <ncoghlan at gmail.com> |
| # and Raymond Hettinger <python at rcn.com> |
| # Copyright (C) 2006-2010 Python Software Foundation. |
| # See C source code for _functools credits/copyright |
| |
| __all__ = ['update_wrapper', 'wraps', 'WRAPPER_ASSIGNMENTS', 'WRAPPER_UPDATES', |
| 'total_ordering', 'cmp_to_key', 'lru_cache', 'reduce', 'partial'] |
| |
| from _functools import partial, reduce |
| from collections import MutableMapping, namedtuple |
| from .reprlib32 import recursive_repr as _recursive_repr |
| from weakref import proxy as _proxy |
| import sys as _sys |
| try: |
| from thread import allocate_lock as Lock |
| except ImportError: |
| from ._dummy_thread32 import allocate_lock as Lock |
| |
| ################################################################################ |
| ### OrderedDict |
| ################################################################################ |
| |
| class _Link(object): |
| __slots__ = 'prev', 'next', 'key', '__weakref__' |
| |
| class OrderedDict(dict): |
| 'Dictionary that remembers insertion order' |
| # An inherited dict maps keys to values. |
| # The inherited dict provides __getitem__, __len__, __contains__, and get. |
| # The remaining methods are order-aware. |
| # Big-O running times for all methods are the same as regular dictionaries. |
| |
| # The internal self.__map dict maps keys to links in a doubly linked list. |
| # The circular doubly linked list starts and ends with a sentinel element. |
| # The sentinel element never gets deleted (this simplifies the algorithm). |
| # The sentinel is in self.__hardroot with a weakref proxy in self.__root. |
| # The prev links are weakref proxies (to prevent circular references). |
| # Individual links are kept alive by the hard reference in self.__map. |
| # Those hard references disappear when a key is deleted from an OrderedDict. |
| |
| def __init__(self, *args, **kwds): |
| '''Initialize an ordered dictionary. The signature is the same as |
| regular dictionaries, but keyword arguments are not recommended because |
| their insertion order is arbitrary. |
| |
| ''' |
| if len(args) > 1: |
| raise TypeError('expected at most 1 arguments, got %d' % len(args)) |
| try: |
| self.__root |
| except AttributeError: |
| self.__hardroot = _Link() |
| self.__root = root = _proxy(self.__hardroot) |
| root.prev = root.next = root |
| self.__map = {} |
| self.__update(*args, **kwds) |
| |
| def __setitem__(self, key, value, |
| dict_setitem=dict.__setitem__, proxy=_proxy, Link=_Link): |
| 'od.__setitem__(i, y) <==> od[i]=y' |
| # Setting a new item creates a new link at the end of the linked list, |
| # and the inherited dictionary is updated with the new key/value pair. |
| if key not in self: |
| self.__map[key] = link = Link() |
| root = self.__root |
| last = root.prev |
| link.prev, link.next, link.key = last, root, key |
| last.next = link |
| root.prev = proxy(link) |
| dict_setitem(self, key, value) |
| |
| def __delitem__(self, key, dict_delitem=dict.__delitem__): |
| 'od.__delitem__(y) <==> del od[y]' |
| # Deleting an existing item uses self.__map to find the link which gets |
| # removed by updating the links in the predecessor and successor nodes. |
| dict_delitem(self, key) |
| link = self.__map.pop(key) |
| link_prev = link.prev |
| link_next = link.next |
| link_prev.next = link_next |
| link_next.prev = link_prev |
| |
| def __iter__(self): |
| 'od.__iter__() <==> iter(od)' |
| # Traverse the linked list in order. |
| root = self.__root |
| curr = root.next |
| while curr is not root: |
| yield curr.key |
| curr = curr.next |
| |
| def __reversed__(self): |
| 'od.__reversed__() <==> reversed(od)' |
| # Traverse the linked list in reverse order. |
| root = self.__root |
| curr = root.prev |
| while curr is not root: |
| yield curr.key |
| curr = curr.prev |
| |
| def clear(self): |
| 'od.clear() -> None. Remove all items from od.' |
| root = self.__root |
| root.prev = root.next = root |
| self.__map.clear() |
| dict.clear(self) |
| |
| def popitem(self, last=True): |
| '''od.popitem() -> (k, v), return and remove a (key, value) pair. |
| Pairs are returned in LIFO order if last is true or FIFO order if false. |
| |
| ''' |
| if not self: |
| raise KeyError('dictionary is empty') |
| root = self.__root |
| if last: |
| link = root.prev |
| link_prev = link.prev |
| link_prev.next = root |
| root.prev = link_prev |
| else: |
| link = root.next |
| link_next = link.next |
| root.next = link_next |
| link_next.prev = root |
| key = link.key |
| del self.__map[key] |
| value = dict.pop(self, key) |
| return key, value |
| |
| def move_to_end(self, key, last=True): |
| '''Move an existing element to the end (or beginning if last==False). |
| |
| Raises KeyError if the element does not exist. |
| When last=True, acts like a fast version of self[key]=self.pop(key). |
| |
| ''' |
| link = self.__map[key] |
| link_prev = link.prev |
| link_next = link.next |
| link_prev.next = link_next |
| link_next.prev = link_prev |
| root = self.__root |
| if last: |
| last = root.prev |
| link.prev = last |
| link.next = root |
| last.next = root.prev = link |
| else: |
| first = root.next |
| link.prev = root |
| link.next = first |
| root.next = first.prev = link |
| |
| def __sizeof__(self): |
| sizeof = _sys.getsizeof |
| n = len(self) + 1 # number of links including root |
| size = sizeof(self.__dict__) # instance dictionary |
| size += sizeof(self.__map) * 2 # internal dict and inherited dict |
| size += sizeof(self.__hardroot) * n # link objects |
| size += sizeof(self.__root) * n # proxy objects |
| return size |
| |
| update = __update = MutableMapping.update |
| keys = MutableMapping.keys |
| values = MutableMapping.values |
| items = MutableMapping.items |
| __ne__ = MutableMapping.__ne__ |
| |
| __marker = object() |
| |
| def pop(self, key, default=__marker): |
| '''od.pop(k[,d]) -> v, remove specified key and return the corresponding |
| value. If key is not found, d is returned if given, otherwise KeyError |
| is raised. |
| |
| ''' |
| if key in self: |
| result = self[key] |
| del self[key] |
| return result |
| if default is self.__marker: |
| raise KeyError(key) |
| return default |
| |
| def setdefault(self, key, default=None): |
| 'od.setdefault(k[,d]) -> od.get(k,d), also set od[k]=d if k not in od' |
| if key in self: |
| return self[key] |
| self[key] = default |
| return default |
| |
| @_recursive_repr() |
| def __repr__(self): |
| 'od.__repr__() <==> repr(od)' |
| if not self: |
| return '%s()' % (self.__class__.__name__,) |
| return '%s(%r)' % (self.__class__.__name__, list(self.items())) |
| |
| def __reduce__(self): |
| 'Return state information for pickling' |
| items = [[k, self[k]] for k in self] |
| inst_dict = vars(self).copy() |
| for k in vars(OrderedDict()): |
| inst_dict.pop(k, None) |
| if inst_dict: |
| return (self.__class__, (items,), inst_dict) |
| return self.__class__, (items,) |
| |
| def copy(self): |
| 'od.copy() -> a shallow copy of od' |
| return self.__class__(self) |
| |
| @classmethod |
| def fromkeys(cls, iterable, value=None): |
| '''OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S. |
| If not specified, the value defaults to None. |
| |
| ''' |
| self = cls() |
| for key in iterable: |
| self[key] = value |
| return self |
| |
| def __eq__(self, other): |
| '''od.__eq__(y) <==> od==y. Comparison to another OD is order-sensitive |
| while comparison to a regular mapping is order-insensitive. |
| |
| ''' |
| if isinstance(other, OrderedDict): |
| return len(self)==len(other) and \ |
| all(p==q for p, q in zip(self.items(), other.items())) |
| return dict.__eq__(self, other) |
| |
| # update_wrapper() and wraps() are tools to help write |
| # wrapper functions that can handle naive introspection |
| |
| WRAPPER_ASSIGNMENTS = ('__module__', '__name__', '__doc__') |
| WRAPPER_UPDATES = ('__dict__',) |
| def update_wrapper(wrapper, |
| wrapped, |
| assigned = WRAPPER_ASSIGNMENTS, |
| updated = WRAPPER_UPDATES): |
| """Update a wrapper function to look like the wrapped function |
| |
| wrapper is the function to be updated |
| wrapped is the original function |
| assigned is a tuple naming the attributes assigned directly |
| from the wrapped function to the wrapper function (defaults to |
| functools.WRAPPER_ASSIGNMENTS) |
| updated is a tuple naming the attributes of the wrapper that |
| are updated with the corresponding attribute from the wrapped |
| function (defaults to functools.WRAPPER_UPDATES) |
| """ |
| wrapper.__wrapped__ = wrapped |
| for attr in assigned: |
| try: |
| value = getattr(wrapped, attr) |
| except AttributeError: |
| pass |
| else: |
| setattr(wrapper, attr, value) |
| for attr in updated: |
| getattr(wrapper, attr).update(getattr(wrapped, attr, {})) |
| # Return the wrapper so this can be used as a decorator via partial() |
| return wrapper |
| |
| def wraps(wrapped, |
| assigned = WRAPPER_ASSIGNMENTS, |
| updated = WRAPPER_UPDATES): |
| """Decorator factory to apply update_wrapper() to a wrapper function |
| |
| Returns a decorator that invokes update_wrapper() with the decorated |
| function as the wrapper argument and the arguments to wraps() as the |
| remaining arguments. Default arguments are as for update_wrapper(). |
| This is a convenience function to simplify applying partial() to |
| update_wrapper(). |
| """ |
| return partial(update_wrapper, wrapped=wrapped, |
| assigned=assigned, updated=updated) |
| |
| def total_ordering(cls): |
| """Class decorator that fills in missing ordering methods""" |
| convert = { |
| '__lt__': [('__gt__', lambda self, other: not (self < other or self == other)), |
| ('__le__', lambda self, other: self < other or self == other), |
| ('__ge__', lambda self, other: not self < other)], |
| '__le__': [('__ge__', lambda self, other: not self <= other or self == other), |
| ('__lt__', lambda self, other: self <= other and not self == other), |
| ('__gt__', lambda self, other: not self <= other)], |
| '__gt__': [('__lt__', lambda self, other: not (self > other or self == other)), |
| ('__ge__', lambda self, other: self > other or self == other), |
| ('__le__', lambda self, other: not self > other)], |
| '__ge__': [('__le__', lambda self, other: (not self >= other) or self == other), |
| ('__gt__', lambda self, other: self >= other and not self == other), |
| ('__lt__', lambda self, other: not self >= other)] |
| } |
| roots = set(dir(cls)) & set(convert) |
| if not roots: |
| raise ValueError('must define at least one ordering operation: < > <= >=') |
| root = max(roots) # prefer __lt__ to __le__ to __gt__ to __ge__ |
| for opname, opfunc in convert[root]: |
| if opname not in roots: |
| opfunc.__name__ = opname |
| opfunc.__doc__ = getattr(int, opname).__doc__ |
| setattr(cls, opname, opfunc) |
| return cls |
| |
| def cmp_to_key(mycmp): |
| """Convert a cmp= function into a key= function""" |
| class K(object): |
| __slots__ = ['obj'] |
| def __init__(self, obj): |
| self.obj = obj |
| def __lt__(self, other): |
| return mycmp(self.obj, other.obj) < 0 |
| def __gt__(self, other): |
| return mycmp(self.obj, other.obj) > 0 |
| def __eq__(self, other): |
| return mycmp(self.obj, other.obj) == 0 |
| def __le__(self, other): |
| return mycmp(self.obj, other.obj) <= 0 |
| def __ge__(self, other): |
| return mycmp(self.obj, other.obj) >= 0 |
| def __ne__(self, other): |
| return mycmp(self.obj, other.obj) != 0 |
| __hash__ = None |
| return K |
| |
| _CacheInfo = namedtuple("CacheInfo", "hits misses maxsize currsize") |
| |
| def lru_cache(maxsize=100): |
| """Least-recently-used cache decorator. |
| |
| If *maxsize* is set to None, the LRU features are disabled and the cache |
| can grow without bound. |
| |
| Arguments to the cached function must be hashable. |
| |
| View the cache statistics named tuple (hits, misses, maxsize, currsize) with |
| f.cache_info(). Clear the cache and statistics with f.cache_clear(). |
| Access the underlying function with f.__wrapped__. |
| |
| See: http://en.wikipedia.org/wiki/Cache_algorithms#Least_Recently_Used |
| |
| """ |
| # Users should only access the lru_cache through its public API: |
| # cache_info, cache_clear, and f.__wrapped__ |
| # The internals of the lru_cache are encapsulated for thread safety and |
| # to allow the implementation to change (including a possible C version). |
| |
| def decorating_function(user_function, |
| tuple=tuple, sorted=sorted, len=len, KeyError=KeyError): |
| |
| hits, misses = [0], [0] |
| kwd_mark = (object(),) # separates positional and keyword args |
| lock = Lock() # needed because OrderedDict isn't threadsafe |
| |
| if maxsize is None: |
| cache = dict() # simple cache without ordering or size limit |
| |
| @wraps(user_function) |
| def wrapper(*args, **kwds): |
| key = args |
| if kwds: |
| key += kwd_mark + tuple(sorted(kwds.items())) |
| try: |
| result = cache[key] |
| hits[0] += 1 |
| return result |
| except KeyError: |
| pass |
| result = user_function(*args, **kwds) |
| cache[key] = result |
| misses[0] += 1 |
| return result |
| else: |
| cache = OrderedDict() # ordered least recent to most recent |
| cache_popitem = cache.popitem |
| cache_renew = cache.move_to_end |
| |
| @wraps(user_function) |
| def wrapper(*args, **kwds): |
| key = args |
| if kwds: |
| key += kwd_mark + tuple(sorted(kwds.items())) |
| with lock: |
| try: |
| result = cache[key] |
| cache_renew(key) # record recent use of this key |
| hits[0] += 1 |
| return result |
| except KeyError: |
| pass |
| result = user_function(*args, **kwds) |
| with lock: |
| cache[key] = result # record recent use of this key |
| misses[0] += 1 |
| if len(cache) > maxsize: |
| cache_popitem(0) # purge least recently used cache entry |
| return result |
| |
| def cache_info(): |
| """Report cache statistics""" |
| with lock: |
| return _CacheInfo(hits[0], misses[0], maxsize, len(cache)) |
| |
| def cache_clear(): |
| """Clear the cache and cache statistics""" |
| with lock: |
| cache.clear() |
| hits[0] = misses[0] = 0 |
| |
| wrapper.cache_info = cache_info |
| wrapper.cache_clear = cache_clear |
| return wrapper |
| |
| return decorating_function |