__coconut__.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# type: ignore

# Compiled with Coconut version 1.3.1-post_dev28 [Dead Parrot]

"""Built-in Coconut utilities."""

# Coconut Header: -------------------------------------------------------------

import sys as _coconut_sys
from builtins import chr, filter, hex, input, int, map, object, oct, open, print, range, str, zip, filter, reversed, enumerate
py_chr, py_hex, py_input, py_int, py_map, py_object, py_oct, py_open, py_print, py_range, py_str, py_zip, py_filter, py_reversed, py_enumerate = chr, hex, input, int, map, object, oct, open, print, range, str, zip, filter, reversed, enumerate
class _coconut:
    import collections, copy, functools, imp, itertools, operator, types, weakref
    if _coconut_sys.version_info >= (3, 4):
        import asyncio
    else:
        try:
            import trollius as asyncio
        except ImportError:
            class you_need_to_install_trollius: pass
            asyncio = you_need_to_install_trollius()
    import pickle
    OrderedDict = collections.OrderedDict
    if _coconut_sys.version_info < (3, 3):
        abc = collections
    else:
        import collections.abc as abc
    Ellipsis, Exception, ImportError, IndexError, KeyError, NameError, TypeError, ValueError, StopIteration, classmethod, dict, enumerate, filter, float, frozenset, getattr, hasattr, hash, id, int, isinstance, issubclass, iter, len, list, map, min, max, next, object, property, range, reversed, set, slice, str, sum, super, tuple, zip, repr = Ellipsis, Exception, ImportError, IndexError, KeyError, NameError, TypeError, ValueError, StopIteration, classmethod, dict, enumerate, filter, float, frozenset, getattr, hasattr, hash, id, int, isinstance, issubclass, iter, len, list, map, min, max, next, object, property, range, reversed, set, slice, str, sum, super, tuple, zip, repr
def _coconut_NamedTuple(name, fields):
    return _coconut.collections.namedtuple(name, [x for x, t in fields])
class MatchError(Exception):
    """Pattern-matching error. Has attributes .pattern and .value."""
    __slots__ = ("pattern", "value")
class _coconut_tail_call:
    __slots__ = ("func", "args", "kwargs")
    def __init__(self, func, *args, **kwargs):
        self.func, self.args, self.kwargs = func, args, kwargs
_coconut_tco_func_dict = {}
def _coconut_tco(func):
    @_coconut.functools.wraps(func)
    def tail_call_optimized_func(*args, **kwargs):
        call_func = func
        while True:
            wkref = _coconut_tco_func_dict.get(_coconut.id(call_func))
            if wkref is not None and wkref() is call_func:
                call_func = call_func._coconut_tco_func
            result = call_func(*args, **kwargs)  # pass --no-tco to clean up your traceback
            if not isinstance(result, _coconut_tail_call):
                return result
            call_func, args, kwargs = result.func, result.args, result.kwargs
    tail_call_optimized_func._coconut_tco_func = func
    _coconut_tco_func_dict[_coconut.id(tail_call_optimized_func)] = _coconut.weakref.ref(tail_call_optimized_func)
    return tail_call_optimized_func
def _coconut_igetitem(iterable, index):
    if isinstance(iterable, (_coconut_reversed, _coconut_map, _coconut.filter, _coconut.zip, _coconut_enumerate, _coconut_count, _coconut.abc.Sequence)):
        return iterable[index]
    if not _coconut.isinstance(index, _coconut.slice):
        if index < 0:
            return _coconut.collections.deque(iterable, maxlen=-index)[0]
        return _coconut.next(_coconut.itertools.islice(iterable, index, index + 1))
    if index.start is not None and index.start < 0 and (index.stop is None or index.stop < 0) and index.step is None:
        queue = _coconut.collections.deque(iterable, maxlen=-index.start)
        if index.stop is not None:
            queue = _coconut.list(queue)[:index.stop - index.start]
        return queue
    if (index.start is not None and index.start < 0) or (index.stop is not None and index.stop < 0) or (index.step is not None and index.step < 0):
        return _coconut.list(iterable)[index]
    return _coconut.itertools.islice(iterable, index.start, index.stop, index.step)
class _coconut_base_compose:
    __slots__ = ("func", "funcstars")
    def __init__(self, func, *funcstars):
        self.func = func
        self.funcstars = []
        for f, star in funcstars:
            if isinstance(f, _coconut_base_compose):
                self.funcstars.append((f.func, star))
                self.funcstars += f.funcstars
            else:
                self.funcstars.append((f, star))
    def __call__(self, *args, **kwargs):
        arg = self.func(*args, **kwargs)
        for f, star in self.funcstars:
            arg = f(*arg) if star else f(arg)
        return arg
    def __repr__(self):
        return _coconut.repr(self.func) + " " + " ".join(("..*> " if star else "..> ") + _coconut.repr(f) for f, star in self.funcstars)
    def __reduce__(self):
        return (self.__class__, (self.func,) + _coconut.tuple(self.funcstars))
def _coconut_forward_compose(func, *funcs): return _coconut_base_compose(func, *((f, False) for f in funcs))
def _coconut_back_compose(*funcs): return _coconut_forward_compose(*_coconut.reversed(funcs))
def _coconut_forward_star_compose(func, *funcs): return _coconut_base_compose(func, *((f, True) for f in funcs))
def _coconut_back_star_compose(*funcs): return _coconut_forward_star_compose(*_coconut.reversed(funcs))
def _coconut_pipe(x, f): return f(x)
def _coconut_star_pipe(xs, f): return f(*xs)
def _coconut_back_pipe(f, x): return f(x)
def _coconut_back_star_pipe(f, xs): return f(*xs)
def _coconut_bool_and(a, b): return a and b
def _coconut_bool_or(a, b): return a or b
def _coconut_none_coalesce(a, b): return a if a is not None else b
def _coconut_minus(a, *rest):
    if not rest:
        return -a
    for b in rest:
        a = a - b
    return a
@_coconut.functools.wraps(_coconut.itertools.tee)
def tee(iterable, n=2):
    if n >= 0 and _coconut.isinstance(iterable, (_coconut.tuple, _coconut.frozenset)):
        return (iterable,) * n
    if n > 0 and (_coconut.hasattr(iterable, "__copy__") or _coconut.isinstance(iterable, _coconut.abc.Sequence)):
        return (iterable,) + _coconut.tuple(_coconut.copy.copy(iterable) for _ in _coconut.range(n - 1))
    return _coconut.itertools.tee(iterable, n)
class reiterable:
    """Allows an iterator to be iterated over multiple times."""
    __slots__ = ("iter",)
    def __init__(self, iterable):
        self.iter = iterable
    def __iter__(self):
        self.iter, out = _coconut_tee(self.iter)
        return _coconut.iter(out)
    def __getitem__(self, index):
        return _coconut_igetitem(_coconut.iter(self), index)
    def __reversed__(self):
        return _coconut_reversed(_coconut.iter(self))
    def __len__(self):
        return _coconut.len(self.iter)
    def __repr__(self):
        return "reiterable(%r)" % (self.iter,)
    def __reduce__(self):
        return (self.__class__, (self.iter,))
    def __copy__(self):
        return self.__class__(_coconut.copy.copy(self.iter))
    def __fmap__(self, func):
        return _coconut_map(func, self)
class scan:
    """Reduce func over iterable, yielding intermediate results,
    optionally starting from initializer."""
    __slots__ = ("func", "iter", "initializer")
    empty_initializer = _coconut.object()
    def __init__(self, function, iterable, initializer=empty_initializer):
        self.func = function
        self.iter = iterable
        self.initializer = initializer
    def __iter__(self):
        acc = self.initializer
        if acc is not self.empty_initializer:
            yield acc
        for item in self.iter:
            if acc is self.empty_initializer:
                acc = item
            else:
                acc = self.func(acc, item)
            yield acc
    def __len__(self):
        return _coconut.len(self.iter)
    def __repr__(self):
        return "scan(%r, %r)" % (self.func, self.iter)
    def __reduce__(self):
        return (self.__class__, (self.func, self.iter))
    def __copy__(self):
        return self.__class__(self.func, _coconut.copy.copy(self.iter))
    def __fmap__(self, func):
        return _coconut_map(func, self)
class reversed:
    __slots__ = ("iter",)
    if hasattr(_coconut.map, "__doc__"):
        __doc__ = _coconut.reversed.__doc__
    def __new__(cls, iterable):
        if _coconut.isinstance(iterable, _coconut.range):
            return iterable[::-1]
        if not _coconut.hasattr(iterable, "__reversed__") or _coconut.isinstance(iterable, (_coconut.list, _coconut.tuple)):
            return _coconut.object.__new__(cls)
        return _coconut.reversed(iterable)
    def __init__(self, iterable):
        self.iter = iterable
    def __iter__(self):
        return _coconut.iter(_coconut.reversed(self.iter))
    def __getitem__(self, index):
        if _coconut.isinstance(index, _coconut.slice):
            return _coconut_igetitem(self.iter, _coconut.slice(-(index.start + 1) if index.start is not None else None, -(index.stop + 1) if index.stop else None, -(index.step if index.step is not None else 1)))
        return _coconut_igetitem(self.iter, -(index + 1))
    def __reversed__(self):
        return self.iter
    def __len__(self):
        return _coconut.len(self.iter)
    def __repr__(self):
        return "reversed(%r)" % (self.iter,)
    def __hash__(self):
        return -_coconut.hash(self.iter)
    def __reduce__(self):
        return (self.__class__, (self.iter,))
    def __copy__(self):
        return self.__class__(_coconut.copy.copy(self.iter))
    def __eq__(self, other):
        return isinstance(other, self.__class__) and self.iter == other.iter
    def __contains__(self, elem):
        return elem in self.iter
    def count(self, elem):
        """Count the number of times elem appears in the reversed iterator."""
        return self.iter.count(elem)
    def index(self, elem):
        """Find the index of elem in the reversed iterator."""
        return _coconut.len(self.iter) - self.iter.index(elem) - 1
    def __fmap__(self, func):
        return self.__class__(_coconut_map(func, self.iter))
class map(_coconut.map):
    __slots__ = ("func", "iters")
    if hasattr(_coconut.map, "__doc__"):
        __doc__ = _coconut.map.__doc__
    def __new__(cls, function, *iterables):
        new_map = _coconut.map.__new__(cls, function, *iterables)
        new_map.func = function
        new_map.iters = iterables
        return new_map
    def __getitem__(self, index):
        if _coconut.isinstance(index, _coconut.slice):
            return self.__class__(self.func, *(_coconut_igetitem(i, index) for i in self.iters))
        return self.func(*(_coconut_igetitem(i, index) for i in self.iters))
    def __reversed__(self):
        return self.__class__(self.func, *(_coconut_reversed(i) for i in self.iters))
    def __len__(self):
        return _coconut.min(_coconut.len(i) for i in self.iters)
    def __repr__(self):
        return "map(%r, %s)" % (self.func, ", ".join((_coconut.repr(i) for i in self.iters)))
    def __reduce__(self):
        return (self.__class__, (self.func,) + self.iters)
    def __reduce_ex__(self, _):
        return self.__reduce__()
    def __copy__(self):
        return self.__class__(self.func, *_coconut.map(_coconut.copy.copy, self.iters))
    def __fmap__(self, func):
        return self.__class__(_coconut_forward_compose(self.func, func), *self.iters)
class parallel_map(map):
    """Multi-process implementation of map using concurrent.futures.
    Requires arguments to be pickleable."""
    __slots__ = ()
    def __iter__(self):
        from concurrent.futures import ProcessPoolExecutor
        with ProcessPoolExecutor() as executor:
            return _coconut.iter(_coconut.list(executor.map(self.func, *self.iters)))
    def __repr__(self):
        return "parallel_" + _coconut_map.__repr__(self)
class concurrent_map(map):
    """Multi-thread implementation of map using concurrent.futures."""
    __slots__ = ()
    def __iter__(self):
        from concurrent.futures import ThreadPoolExecutor
        from multiprocessing import cpu_count  # cpu_count() * 5 is the default Python 3.5 thread count
        with ThreadPoolExecutor(cpu_count() * 5) as executor:
            return _coconut.iter(_coconut.list(executor.map(self.func, *self.iters)))
    def __repr__(self):
        return "concurrent_" + _coconut_map.__repr__(self)
class filter(_coconut.filter):
    __slots__ = ("func", "iter")
    if hasattr(_coconut.filter, "__doc__"):
        __doc__ = _coconut.filter.__doc__
    def __new__(cls, function, iterable):
        new_filter = _coconut.filter.__new__(cls, function, iterable)
        new_filter.func = function
        new_filter.iter = iterable
        return new_filter
    def __reversed__(self):
        return self.__class__(self.func, _coconut_reversed(self.iter))
    def __repr__(self):
        return "filter(%r, %r)" % (self.func, self.iter)
    def __reduce__(self):
        return (self.__class__, (self.func, self.iter))
    def __reduce_ex__(self, _):
        return self.__reduce__()
    def __copy__(self):
        return self.__class__(self.func, _coconut.copy.copy(self.iter))
    def __fmap__(self, func):
        return _coconut_map(func, self)
class zip(_coconut.zip):
    __slots__ = ("iters",)
    if hasattr(_coconut.zip, "__doc__"):
        __doc__ = _coconut.zip.__doc__
    def __new__(cls, *iterables):
        new_zip = _coconut.zip.__new__(cls, *iterables)
        new_zip.iters = iterables
        return new_zip
    def __getitem__(self, index):
        if _coconut.isinstance(index, _coconut.slice):
            return self.__class__(*(_coconut_igetitem(i, index) for i in self.iters))
        return _coconut.tuple(_coconut_igetitem(i, index) for i in self.iters)
    def __reversed__(self):
        return self.__class__(*(_coconut_reversed(i) for i in self.iters))
    def __len__(self):
        return _coconut.min(_coconut.len(i) for i in self.iters)
    def __repr__(self):
        return "zip(%s)" % (", ".join((_coconut.repr(i) for i in self.iters)),)
    def __reduce__(self):
        return (self.__class__, self.iters)
    def __reduce_ex__(self, _):
        return self.__reduce__()
    def __copy__(self):
        return self.__class__(*_coconut.map(_coconut.copy.copy, self.iters))
    def __fmap__(self, func):
        return _coconut_map(func, self)
class enumerate(_coconut.enumerate):
    __slots__ = ("iter", "start")
    if hasattr(_coconut.enumerate, "__doc__"):
        __doc__ = _coconut.enumerate.__doc__
    def __new__(cls, iterable, start=0):
        new_enumerate = _coconut.enumerate.__new__(cls, iterable, start)
        new_enumerate.iter = iterable
        new_enumerate.start = start
        return new_enumerate
    def __getitem__(self, index):
        if _coconut.isinstance(index, _coconut.slice):
            return self.__class__(_coconut_igetitem(self.iter, index), self.start + (0 if index.start is None else index.start if index.start >= 0 else len(self.iter) + index.start))
        return (self.start + index, _coconut_igetitem(self.iter, index))
    def __len__(self):
        return _coconut.len(self.iter)
    def __repr__(self):
        return "enumerate(%r, %r)" % (self.iter, self.start)
    def __reduce__(self):
        return (self.__class__, (self.iter, self.start))
    def __reduce_ex__(self, _):
        return self.__reduce__()
    def __copy__(self):
        return self.__class__(_coconut.copy.copy(self.iter), self.start)
    def __fmap__(self, func):
        return _coconut_map(func, self)
class count:
    """count(start, step) returns an infinite iterator starting at start and increasing by step.
    If step is set to 0, count will infinitely repeat its first argument."""
    __slots__ = ("start", "step")
    def __init__(self, start=0, step=1):
        self.start = start
        self.step = step
    def __iter__(self):
        while True:
            yield self.start
            if self.step:
                self.start += self.step
    def __contains__(self, elem):
        if not self.step:
            return elem == self.start
        if elem < self.start:
            return False
        return (elem - self.start) % self.step == 0
    def __getitem__(self, index):
        if _coconut.isinstance(index, _coconut.slice) and (index.start is None or index.start >= 0) and (index.stop is None or index.stop >= 0):
            if index.stop is None:
                return self.__class__(self.start + (index.start if index.start is not None else 0), self.step * (index.step if index.step is not None else 1))
            if self.step and _coconut.isinstance(self.start, _coconut.int) and _coconut.isinstance(self.step, _coconut.int):
                return _coconut.range(self.start + self.step * (index.start if index.start is not None else 0), self.start + self.step * index.stop, self.step * (index.step if index.step is not None else 1))
            return _coconut_map(self.__getitem__, _coconut.range(index.start if index.start is not None else 0, index.stop, index.step if index.step is not None else 1))
        if index < 0:
            raise _coconut.IndexError("count indices must be positive")
        return self.start + self.step * index if self.step else self.start
    def count(self, elem):
        """Count the number of times elem appears in the count."""
        if not self.step:
            return _coconut.float("inf") if elem == self.start else 0
        return int(elem in self)
    def index(self, elem):
        """Find the index of elem in the count."""
        if elem not in self:
            raise _coconut.ValueError(_coconut.repr(elem) + " not in " + _coconut.repr(self))
        return (elem - self.start) // self.step if self.step else 0
    def __reversed__(self):
        if not self.step:
            return self
        raise _coconut.TypeError(repr(self) + " object is not reversible")
    def __repr__(self):
        return "count(%r, %r)" % (self.start, self.step)
    def __hash__(self):
        return _coconut.hash((self.start, self.step))
    def __reduce__(self):
        return (self.__class__, (self.start, self.step))
    def __copy__(self):
        return self.__class__(self.start, self.step)
    def __eq__(self, other):
        return isinstance(other, self.__class__) and self.start == other.start and self.step == other.step
    def __fmap__(self, func):
        return _coconut_map(func, self)
class groupsof:
    """groupsof(n, iterable) splits iterable into groups of size n.
    If the length of the iterable is not divisible by n, the last group may be of size < n."""
    __slots__ = ("group_size", "iter")
    def __init__(self, n, iterable):
        self.iter = iterable
        try:
            self.group_size = _coconut.int(n)
        except _coconut.ValueError:
            raise _coconut.TypeError("group size must be an int; not %r" % (n,))
        if self.group_size <= 0:
            raise _coconut.ValueError("group size must be > 0; not %r" % (self.group_size,))
    def __iter__(self):
        iterator = _coconut.iter(self.iter)
        loop = True
        while loop:
            group = []
            for _ in _coconut.range(self.group_size):
                try:
                    group.append(_coconut.next(iterator))
                except _coconut.StopIteration:
                    loop = False
                    break
            if group:
                yield _coconut.tuple(group)
    def __len__(self):
        return _coconut.len(self.iter)
    def __repr__(self):
        return "groupsof(%r)" % (self.iter,)
    def __reduce__(self):
        return (self.__class__, (self.group_size, self.iter))
    def __copy__(self):
        return self.__class__(self.group_size, _coconut.copy.copy(self.iter))
    def __fmap__(self, func):
        return _coconut_map(func, self)
def recursive_iterator(func):
    """Decorator that optimizes a function for iterator recursion."""
    tee_store = {}
    backup_tee_store = []
    @_coconut.functools.wraps(func)
    def recursive_iterator_func(*args, **kwargs):
        key = (args, _coconut.frozenset(kwargs))
        use_backup = False
        try:
            hash(key)
        except _coconut.Exception:
            try:
                key = _coconut.pickle.dumps(key, -1)
            except _coconut.Exception:
                use_backup = True
        if use_backup:
            for i, (k, v) in _coconut.enumerate(backup_tee_store):
                if k == key:
                    to_tee, store_pos = v, i
                    break
            else:  # no break
                to_tee = func(*args, **kwargs)
                store_pos = None
            to_store, to_return = _coconut_tee(to_tee)
            if store_pos is None:
                backup_tee_store.append([key, to_store])
            else:
                backup_tee_store[store_pos][1] = to_store
        else:
            tee_store[key], to_return = _coconut_tee(tee_store.get(key) or func(*args, **kwargs))
        return to_return
    return recursive_iterator_func
def addpattern(base_func):
    """Decorator to add a new case to a pattern-matching function,
    where the new case is checked last."""
    def pattern_adder(func):
        @_coconut_tco
        @_coconut.functools.wraps(func)
        def add_pattern_func(*args, **kwargs):
            try:
                return base_func(*args, **kwargs)
            except _coconut_MatchError:
                return _coconut_tail_call(func, *args, **kwargs)
        return add_pattern_func
    return pattern_adder
def prepattern(base_func):
    """DEPRECATED: Use addpattern instead."""
    def pattern_prepender(func):
        return addpattern(func)(base_func)
    return pattern_prepender
class _coconut_partial:
    __slots__ = ("func", "_argdict", "_arglen", "_stargs", "keywords")
    if hasattr(_coconut.functools.partial, "__doc__"):
        __doc__ = _coconut.functools.partial.__doc__
    def __init__(self, func, argdict, arglen, *args, **kwargs):
        self.func = func
        self._argdict = argdict
        self._arglen = arglen
        self._stargs = args
        self.keywords = kwargs
    def __reduce__(self):
        return (self.__class__, (self.func, self._argdict, self._arglen) + self._stargs, self.keywords)
    def __setstate__(self, keywords):
        self.keywords = keywords
    @property
    def args(self):
        return _coconut.tuple(self._argdict.get(i) for i in _coconut.range(self._arglen)) + self._stargs
    def __call__(self, *args, **kwargs):
        callargs = []
        argind = 0
        for i in _coconut.range(self._arglen):
            if i in self._argdict:
                callargs.append(self._argdict[i])
            elif argind >= _coconut.len(args):
                raise _coconut.TypeError("expected at least " + _coconut.str(self._arglen - _coconut.len(self._argdict)) + " argument(s) to " + _coconut.repr(self))
            else:
                callargs.append(args[argind])
                argind += 1
        callargs += self._stargs
        callargs += args[argind:]
        kwargs.update(self.keywords)
        return self.func(*callargs, **kwargs)
    def __repr__(self):
        args = []
        for i in _coconut.range(self._arglen):
            if i in self._argdict:
                args.append(_coconut.repr(self._argdict[i]))
            else:
                args.append("?")
        for arg in self._stargs:
            args.append(_coconut.repr(arg))
        return _coconut.repr(self.func) + "$(" + ", ".join(args) + ")"
def consume(iterable, keep_last=0):
    """consume(iterable, keep_last) fully exhausts iterable and return the last keep_last elements."""
    return _coconut.collections.deque(iterable, maxlen=keep_last)  # fastest way to exhaust an iterator
class starmap(_coconut.itertools.starmap):
    __slots__ = ("func", "iter")
    if hasattr(_coconut.itertools.starmap, "__doc__"):
        __doc__ = _coconut.itertools.starmap.__doc__
    def __new__(cls, function, iterable):
        new_map = _coconut.itertools.starmap.__new__(cls, function, iterable)
        new_map.func = function
        new_map.iter = iterable
        return new_map
    def __getitem__(self, index):
        if _coconut.isinstance(index, _coconut.slice):
            return self.__class__(self.func, _coconut_igetitem(self.iter, index))
        return self.func(*_coconut_igetitem(self.iter, index))
    def __reversed__(self):
        return self.__class__(self.func, *_coconut_reversed(self.iter))
    def __len__(self):
        return _coconut.len(self.iter)
    def __repr__(self):
        return "starmap(%r, %r)" % (self.func, self.iter)
    def __reduce__(self):
        return (self.__class__, (self.func, self.iter))
    def __reduce_ex__(self, _):
        return self.__reduce__()
    def __copy__(self):
        return self.__class__(self.func, _coconut.copy.copy(self.iter))
    def __fmap__(self, func):
        return self.__class__(_coconut_forward_compose(self.func, func), self.iter)
def makedata(data_type, *args):
    """Construct an object of the given data_type containing the given arguments."""
    if _coconut.hasattr(data_type, "_make") and _coconut.issubclass(data_type, _coconut.tuple):
        return data_type._make(args)
    if _coconut.issubclass(data_type, (_coconut.map, _coconut.range, _coconut.abc.Iterator)):
        return args
    if _coconut.issubclass(data_type, _coconut.str):
        return "".join(args)
    return data_type(args)
def datamaker(data_type):
    """DEPRECATED: Use makedata instead."""
    return _coconut.functools.partial(makedata, data_type)
def fmap(func, obj):
    """fmap(func, obj) creates a copy of obj with func applied to its contents.
    Override by defining obj.__fmap__(func)."""
    if _coconut.hasattr(obj, "__fmap__"):
        return obj.__fmap__(func)
    return _coconut_makedata(obj.__class__, *(_coconut_starmap(func, obj.items()) if _coconut.isinstance(obj, _coconut.abc.Mapping) else _coconut_map(func, obj)))
def memoize(maxsize=None, *args, **kwargs):
    """Decorator that memoizes a function,
    preventing it from being recomputed if it is called multiple times with the same arguments."""
    return _coconut.functools.lru_cache(maxsize, *args, **kwargs)
_coconut_MatchError, _coconut_count, _coconut_enumerate, _coconut_makedata, _coconut_map, _coconut_reversed, _coconut_starmap, _coconut_tee, _coconut_zip, TYPE_CHECKING, reduce, takewhile, dropwhile = MatchError, count, enumerate, makedata, map, reversed, starmap, tee, zip, False, _coconut.functools.reduce, _coconut.itertools.takewhile, _coconut.itertools.dropwhile