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We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. + +Copyright 2025 [name of copyright owner] + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. diff --git a/python/Lib/site-packages/setuptools/_vendor/importlib_metadata/compat/py311.py b/python/Lib/site-packages/setuptools/_vendor/importlib_metadata/compat/py311.py new file mode 100644 index 0000000000000000000000000000000000000000..3a5327436f9b1d9eae371e321c491a270634b3cf --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/importlib_metadata/compat/py311.py @@ -0,0 +1,22 @@ +import os +import pathlib +import sys +import types + + +def wrap(path): # pragma: no cover + """ + Workaround for https://github.com/python/cpython/issues/84538 + to add backward compatibility for walk_up=True. + An example affected package is dask-labextension, which uses + jupyter-packaging to install JupyterLab javascript files outside + of site-packages. + """ + + def relative_to(root, *, walk_up=False): + return pathlib.Path(os.path.relpath(path, root)) + + return types.SimpleNamespace(relative_to=relative_to) + + +relative_fix = wrap if sys.version_info < (3, 12) else lambda x: x diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/context/__init__.py b/python/Lib/site-packages/setuptools/_vendor/jaraco/context/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..41ad609edd407ac93f87731d07435a25a3d6435d --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/context/__init__.py @@ -0,0 +1,367 @@ +from __future__ import annotations + +import contextlib +import errno +import functools +import operator +import os +import platform +import shutil +import stat +import subprocess +import sys +import tempfile +import urllib.request +from collections.abc import Iterator + +if sys.version_info < (3, 12): + from backports import tarfile +else: + import tarfile + + +@contextlib.contextmanager +def pushd(dir: str | os.PathLike) -> Iterator[str | os.PathLike]: + """ + >>> tmp_path = getfixture('tmp_path') + >>> with pushd(tmp_path): + ... assert os.getcwd() == os.fspath(tmp_path) + >>> assert os.getcwd() != os.fspath(tmp_path) + """ + + orig = os.getcwd() + os.chdir(dir) + try: + yield dir + finally: + os.chdir(orig) + + +@contextlib.contextmanager +def tarball( + url, target_dir: str | os.PathLike | None = None +) -> Iterator[str | os.PathLike]: + """ + Get a URL to a tarball, download, extract, yield, then clean up. + + Assumes everything in the tarball is prefixed with a common + directory. That common path is stripped and the contents + are extracted to ``target_dir``, similar to passing + ``-C {target} --strip-components 1`` to the ``tar`` command. + + Uses the streaming protocol to extract the contents from a + stream in a single pass without loading the whole file into + memory. + + >>> import urllib.request + >>> url = getfixture('tarfile_served') + >>> target = getfixture('tmp_path') / 'out' + >>> tb = tarball(url, target_dir=target) + >>> import pathlib + >>> with tb as extracted: + ... contents = pathlib.Path(extracted, 'contents.txt').read_text(encoding='utf-8') + >>> assert not os.path.exists(extracted) + + If the target is not specified, contents are extracted to a + directory relative to the current working directory named after + the name of the file as extracted from the URL. + + >>> target = getfixture('tmp_path') + >>> with pushd(target), tarball(url): + ... target.joinpath('served').is_dir() + True + """ + if target_dir is None: + target_dir = os.path.basename(url).replace('.tar.gz', '').replace('.tgz', '') + os.mkdir(target_dir) + try: + req = urllib.request.urlopen(url) + with tarfile.open(fileobj=req, mode='r|*') as tf: + tf.extractall(path=target_dir, filter=_default_filter) + yield target_dir + finally: + shutil.rmtree(target_dir) + + +def _compose_tarfile_filters(*filters): + def compose_two(f1, f2): + return lambda member, path: f1(f2(member, path), path) + + return functools.reduce(compose_two, filters, lambda member, path: member) + + +def strip_first_component( + member: tarfile.TarInfo, + path, +) -> tarfile.TarInfo: + _, member.name = member.name.split('/', 1) + return member + + +_default_filter = _compose_tarfile_filters(tarfile.data_filter, strip_first_component) + + +def _compose(*cmgrs): + """ + Compose any number of dependent context managers into a single one. + + The last, innermost context manager may take arbitrary arguments, but + each successive context manager should accept the result from the + previous as a single parameter. + + Like :func:`jaraco.functools.compose`, behavior works from right to + left, so the context manager should be indicated from outermost to + innermost. + + Example, to create a context manager to change to a temporary + directory: + + >>> temp_dir_as_cwd = _compose(pushd, temp_dir) + >>> with temp_dir_as_cwd() as dir: + ... assert os.path.samefile(os.getcwd(), dir) + """ + + def compose_two(inner, outer): + def composed(*args, **kwargs): + with inner(*args, **kwargs) as saved, outer(saved) as res: + yield res + + return contextlib.contextmanager(composed) + + return functools.reduce(compose_two, reversed(cmgrs)) + + +tarball_cwd = _compose(pushd, tarball) +""" +A tarball context with the current working directory pointing to the contents. +""" + + +def remove_readonly(func, path, exc_info): + """ + Add support for removing read-only files on Windows. + """ + _, exc, _ = exc_info + if func in (os.rmdir, os.remove, os.unlink) and exc.errno == errno.EACCES: + # change the file to be readable,writable,executable: 0777 + os.chmod(path, stat.S_IRWXU | stat.S_IRWXG | stat.S_IRWXO) + # retry + func(path) + else: + raise + + +def robust_remover(): + return ( + functools.partial(shutil.rmtree, onerror=remove_readonly) + if platform.system() == 'Windows' + else shutil.rmtree + ) + + +@contextlib.contextmanager +def temp_dir(remover=shutil.rmtree): + """ + Create a temporary directory context. Pass a custom remover + to override the removal behavior. + + >>> import pathlib + >>> with temp_dir() as the_dir: + ... assert os.path.isdir(the_dir) + >>> assert not os.path.exists(the_dir) + """ + temp_dir = tempfile.mkdtemp() + try: + yield temp_dir + finally: + remover(temp_dir) + + +robust_temp_dir = functools.partial(temp_dir, remover=robust_remover()) + + +@contextlib.contextmanager +def repo_context( + url, branch: str | None = None, quiet: bool = True, dest_ctx=robust_temp_dir +): + """ + Check out the repo indicated by url. + + If dest_ctx is supplied, it should be a context manager + to yield the target directory for the check out. + + >>> getfixture('ensure_git') + >>> getfixture('needs_internet') + >>> repo = repo_context('https://github.com/jaraco/jaraco.context') + >>> with repo as dest: + ... listing = os.listdir(dest) + >>> 'README.rst' in listing + True + """ + exe = 'git' if 'git' in url else 'hg' + with dest_ctx() as repo_dir: + cmd = [exe, 'clone', url, repo_dir] + cmd.extend(['--branch', branch] * bool(branch)) + stream = subprocess.DEVNULL if quiet else None + subprocess.check_call(cmd, stdout=stream, stderr=stream) + yield repo_dir + + +class ExceptionTrap: + """ + A context manager that will catch certain exceptions and provide an + indication they occurred. + + >>> with ExceptionTrap() as trap: + ... raise Exception() + >>> bool(trap) + True + + >>> with ExceptionTrap() as trap: + ... pass + >>> bool(trap) + False + + >>> with ExceptionTrap(ValueError) as trap: + ... raise ValueError("1 + 1 is not 3") + >>> bool(trap) + True + >>> trap.value + ValueError('1 + 1 is not 3') + >>> trap.tb + + + >>> with ExceptionTrap(ValueError) as trap: + ... raise Exception() + Traceback (most recent call last): + ... + Exception + + >>> bool(trap) + False + """ + + exc_info = None, None, None + + def __init__(self, exceptions=(Exception,)): + self.exceptions = exceptions + + def __enter__(self): + return self + + @property + def type(self): + return self.exc_info[0] + + @property + def value(self): + return self.exc_info[1] + + @property + def tb(self): + return self.exc_info[2] + + def __exit__(self, *exc_info): + type = exc_info[0] + matches = type and issubclass(type, self.exceptions) + if matches: + self.exc_info = exc_info + return matches + + def __bool__(self): + return bool(self.type) + + def raises(self, func, *, _test=bool): + """ + Wrap func and replace the result with the truth + value of the trap (True if an exception occurred). + + First, give the decorator an alias to support Python 3.8 + Syntax. + + >>> raises = ExceptionTrap(ValueError).raises + + Now decorate a function that always fails. + + >>> @raises + ... def fail(): + ... raise ValueError('failed') + >>> fail() + True + """ + + @functools.wraps(func) + def wrapper(*args, **kwargs): + with ExceptionTrap(self.exceptions) as trap: + func(*args, **kwargs) + return _test(trap) + + return wrapper + + def passes(self, func): + """ + Wrap func and replace the result with the truth + value of the trap (True if no exception). + + First, give the decorator an alias to support Python 3.8 + Syntax. + + >>> passes = ExceptionTrap(ValueError).passes + + Now decorate a function that always fails. + + >>> @passes + ... def fail(): + ... raise ValueError('failed') + + >>> fail() + False + """ + return self.raises(func, _test=operator.not_) + + +class suppress(contextlib.suppress, contextlib.ContextDecorator): + """ + A version of contextlib.suppress with decorator support. + + >>> @suppress(KeyError) + ... def key_error(): + ... {}[''] + >>> key_error() + """ + + +class on_interrupt(contextlib.ContextDecorator): + """ + Replace a KeyboardInterrupt with SystemExit(1). + + Useful in conjunction with console entry point functions. + + >>> def do_interrupt(): + ... raise KeyboardInterrupt() + >>> on_interrupt('error')(do_interrupt)() + Traceback (most recent call last): + ... + SystemExit: 1 + >>> on_interrupt('error', code=255)(do_interrupt)() + Traceback (most recent call last): + ... + SystemExit: 255 + >>> on_interrupt('suppress')(do_interrupt)() + >>> with __import__('pytest').raises(KeyboardInterrupt): + ... on_interrupt('ignore')(do_interrupt)() + """ + + def __init__(self, action='error', /, code=1): + self.action = action + self.code = code + + def __enter__(self): + return self + + def __exit__(self, exctype, excinst, exctb): + if exctype is not KeyboardInterrupt or self.action == 'ignore': + return + elif self.action == 'error': + raise SystemExit(self.code) from excinst + return self.action == 'suppress' diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/context/__pycache__/__init__.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/jaraco/context/__pycache__/__init__.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ff38db7772d3fec3b9435b62656d68edafbd7b1a Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/jaraco/context/__pycache__/__init__.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/context/py.typed b/python/Lib/site-packages/setuptools/_vendor/jaraco/context/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/__init__.py b/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..df32e2e924bdfb14aa7dfcfc503d22081c1f0d74 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/__init__.py @@ -0,0 +1,722 @@ +from __future__ import annotations + +import collections.abc +import functools +import inspect +import itertools +import operator +import time +import types +import warnings +from typing import Callable, TypeVar + +import more_itertools + + +def compose(*funcs): + """ + Compose any number of unary functions into a single unary function. + + Comparable to + `function composition `_ + in mathematics: + + ``h = g ∘ f`` implies ``h(x) = g(f(x))``. + + In Python, ``h = compose(g, f)``. + + >>> import textwrap + >>> expected = str.strip(textwrap.dedent(compose.__doc__)) + >>> strip_and_dedent = compose(str.strip, textwrap.dedent) + >>> strip_and_dedent(compose.__doc__) == expected + True + + Compose also allows the innermost function to take arbitrary arguments. + + >>> round_three = lambda x: round(x, ndigits=3) + >>> f = compose(round_three, int.__truediv__) + >>> [f(3*x, x+1) for x in range(1,10)] + [1.5, 2.0, 2.25, 2.4, 2.5, 2.571, 2.625, 2.667, 2.7] + """ + + def compose_two(f1, f2): + return lambda *args, **kwargs: f1(f2(*args, **kwargs)) + + return functools.reduce(compose_two, funcs) + + +def once(func): + """ + Decorate func so it's only ever called the first time. + + This decorator can ensure that an expensive or non-idempotent function + will not be expensive on subsequent calls and is idempotent. + + >>> add_three = once(lambda a: a+3) + >>> add_three(3) + 6 + >>> add_three(9) + 6 + >>> add_three('12') + 6 + + To reset the stored value, simply clear the property ``saved_result``. + + >>> del add_three.saved_result + >>> add_three(9) + 12 + >>> add_three(8) + 12 + + Or invoke 'reset()' on it. + + >>> add_three.reset() + >>> add_three(-3) + 0 + >>> add_three(0) + 0 + """ + + @functools.wraps(func) + def wrapper(*args, **kwargs): + if not hasattr(wrapper, 'saved_result'): + wrapper.saved_result = func(*args, **kwargs) + return wrapper.saved_result + + wrapper.reset = lambda: vars(wrapper).__delitem__('saved_result') + return wrapper + + +def method_cache(method, cache_wrapper=functools.lru_cache()): + """ + Wrap lru_cache to support storing the cache data in the object instances. + + Abstracts the common paradigm where the method explicitly saves an + underscore-prefixed protected property on first call and returns that + subsequently. + + >>> class MyClass: + ... calls = 0 + ... + ... @method_cache + ... def method(self, value): + ... self.calls += 1 + ... return value + + >>> a = MyClass() + >>> a.method(3) + 3 + >>> for x in range(75): + ... res = a.method(x) + >>> a.calls + 75 + + Note that the apparent behavior will be exactly like that of lru_cache + except that the cache is stored on each instance, so values in one + instance will not flush values from another, and when an instance is + deleted, so are the cached values for that instance. + + >>> b = MyClass() + >>> for x in range(35): + ... res = b.method(x) + >>> b.calls + 35 + >>> a.method(0) + 0 + >>> a.calls + 75 + + Note that if method had been decorated with ``functools.lru_cache()``, + a.calls would have been 76 (due to the cached value of 0 having been + flushed by the 'b' instance). + + Clear the cache with ``.cache_clear()`` + + >>> a.method.cache_clear() + + Same for a method that hasn't yet been called. + + >>> c = MyClass() + >>> c.method.cache_clear() + + Another cache wrapper may be supplied: + + >>> cache = functools.lru_cache(maxsize=2) + >>> MyClass.method2 = method_cache(lambda self: 3, cache_wrapper=cache) + >>> a = MyClass() + >>> a.method2() + 3 + + Caution - do not subsequently wrap the method with another decorator, such + as ``@property``, which changes the semantics of the function. + + See also + http://code.activestate.com/recipes/577452-a-memoize-decorator-for-instance-methods/ + for another implementation and additional justification. + """ + + def wrapper(self, *args, **kwargs): + # it's the first call, replace the method with a cached, bound method + bound_method = types.MethodType(method, self) + cached_method = cache_wrapper(bound_method) + setattr(self, method.__name__, cached_method) + return cached_method(*args, **kwargs) + + # Support cache clear even before cache has been created. + wrapper.cache_clear = lambda: None + + return _special_method_cache(method, cache_wrapper) or wrapper + + +def _special_method_cache(method, cache_wrapper): + """ + Because Python treats special methods differently, it's not + possible to use instance attributes to implement the cached + methods. + + Instead, install the wrapper method under a different name + and return a simple proxy to that wrapper. + + https://github.com/jaraco/jaraco.functools/issues/5 + """ + name = method.__name__ + special_names = '__getattr__', '__getitem__' + + if name not in special_names: + return None + + wrapper_name = '__cached' + name + + def proxy(self, /, *args, **kwargs): + if wrapper_name not in vars(self): + bound = types.MethodType(method, self) + cache = cache_wrapper(bound) + setattr(self, wrapper_name, cache) + else: + cache = getattr(self, wrapper_name) + return cache(*args, **kwargs) + + return proxy + + +def apply(transform): + """ + Decorate a function with a transform function that is + invoked on results returned from the decorated function. + + >>> @apply(reversed) + ... def get_numbers(start): + ... "doc for get_numbers" + ... return range(start, start+3) + >>> list(get_numbers(4)) + [6, 5, 4] + >>> get_numbers.__doc__ + 'doc for get_numbers' + """ + + def wrap(func): + return functools.wraps(func)(compose(transform, func)) + + return wrap + + +def result_invoke(action): + r""" + Decorate a function with an action function that is + invoked on the results returned from the decorated + function (for its side effect), then return the original + result. + + >>> @result_invoke(print) + ... def add_two(a, b): + ... return a + b + >>> x = add_two(2, 3) + 5 + >>> x + 5 + """ + + def wrap(func): + @functools.wraps(func) + def wrapper(*args, **kwargs): + result = func(*args, **kwargs) + action(result) + return result + + return wrapper + + return wrap + + +def invoke(f, /, *args, **kwargs): + """ + Call a function for its side effect after initialization. + + The benefit of using the decorator instead of simply invoking a function + after defining it is that it makes explicit the author's intent for the + function to be called immediately. Whereas if one simply calls the + function immediately, it's less obvious if that was intentional or + incidental. It also avoids repeating the name - the two actions, defining + the function and calling it immediately are modeled separately, but linked + by the decorator construct. + + The benefit of having a function construct (opposed to just invoking some + behavior inline) is to serve as a scope in which the behavior occurs. It + avoids polluting the global namespace with local variables, provides an + anchor on which to attach documentation (docstring), keeps the behavior + logically separated (instead of conceptually separated or not separated at + all), and provides potential to re-use the behavior for testing or other + purposes. + + This function is named as a pithy way to communicate, "call this function + primarily for its side effect", or "while defining this function, also + take it aside and call it". It exists because there's no Python construct + for "define and call" (nor should there be, as decorators serve this need + just fine). The behavior happens immediately and synchronously. + + >>> @invoke + ... def func(): print("called") + called + >>> func() + called + + Use functools.partial to pass parameters to the initial call + + >>> @functools.partial(invoke, name='bingo') + ... def func(name): print('called with', name) + called with bingo + """ + f(*args, **kwargs) + return f + + +_T = TypeVar('_T') + + +def passthrough(func: Callable[..., object]) -> Callable[[_T], _T]: + """ + Wrap the function to always return the first parameter. + + >>> passthrough(print)('3') + 3 + '3' + """ + + @functools.wraps(func) + def wrapper(first: _T, *args, **kwargs) -> _T: + func(first, *args, **kwargs) + return first + + return wrapper + + +class Throttler: + """Rate-limit a function (or other callable).""" + + def __init__(self, func, max_rate=float('Inf')): + if isinstance(func, Throttler): + func = func.func + self.func = func + self.max_rate = max_rate + self.reset() + + def reset(self): + self.last_called = 0 + + def __call__(self, *args, **kwargs): + self._wait() + return self.func(*args, **kwargs) + + def _wait(self): + """Ensure at least 1/max_rate seconds from last call.""" + elapsed = time.time() - self.last_called + must_wait = 1 / self.max_rate - elapsed + time.sleep(max(0, must_wait)) + self.last_called = time.time() + + def __get__(self, obj, owner=None): + return first_invoke(self._wait, functools.partial(self.func, obj)) + + +def first_invoke(func1, func2): + """ + Return a function that when invoked will invoke func1 without + any parameters (for its side effect) and then invoke func2 + with whatever parameters were passed, returning its result. + """ + + def wrapper(*args, **kwargs): + func1() + return func2(*args, **kwargs) + + return wrapper + + +method_caller = first_invoke( + lambda: warnings.warn( + '`jaraco.functools.method_caller` is deprecated, ' + 'use `operator.methodcaller` instead', + DeprecationWarning, + stacklevel=3, + ), + operator.methodcaller, +) + + +def retry_call(func, cleanup=lambda: None, retries=0, trap=()): + """ + Given a callable func, trap the indicated exceptions + for up to 'retries' times, invoking cleanup on the + exception. On the final attempt, allow any exceptions + to propagate. + """ + attempts = itertools.count() if retries == float('inf') else range(retries) + for _ in attempts: + try: + return func() + except trap: + cleanup() + + return func() + + +def retry(*r_args, **r_kwargs): + """ + Decorator wrapper for retry_call. Accepts arguments to retry_call + except func and then returns a decorator for the decorated function. + + Ex: + + >>> @retry(retries=3) + ... def my_func(a, b): + ... "this is my funk" + ... print(a, b) + >>> my_func.__doc__ + 'this is my funk' + """ + + def decorate(func): + @functools.wraps(func) + def wrapper(*f_args, **f_kwargs): + bound = functools.partial(func, *f_args, **f_kwargs) + return retry_call(bound, *r_args, **r_kwargs) + + return wrapper + + return decorate + + +def print_yielded(func): + """ + Convert a generator into a function that prints all yielded elements. + + >>> @print_yielded + ... def x(): + ... yield 3; yield None + >>> x() + 3 + None + """ + print_all = functools.partial(map, print) + print_results = compose(more_itertools.consume, print_all, func) + return functools.wraps(func)(print_results) + + +def pass_none(func): + """ + Wrap func so it's not called if its first param is None. + + >>> print_text = pass_none(print) + >>> print_text('text') + text + >>> print_text(None) + """ + + @functools.wraps(func) + def wrapper(param, /, *args, **kwargs): + if param is not None: + return func(param, *args, **kwargs) + return None + + return wrapper + + +def none_as(value, replacement=None): + """ + >>> none_as(None, 'foo') + 'foo' + >>> none_as('bar', 'foo') + 'bar' + """ + return replacement if value is None else value + + +def assign_params(func, namespace): + """ + Assign parameters from namespace where func solicits. + + >>> def func(x, y=3): + ... print(x, y) + >>> assigned = assign_params(func, dict(x=2, z=4)) + >>> assigned() + 2 3 + + The usual errors are raised if a function doesn't receive + its required parameters: + + >>> assigned = assign_params(func, dict(y=3, z=4)) + >>> assigned() + Traceback (most recent call last): + TypeError: func() ...argument... + + It even works on methods: + + >>> class Handler: + ... def meth(self, arg): + ... print(arg) + >>> assign_params(Handler().meth, dict(arg='crystal', foo='clear'))() + crystal + """ + sig = inspect.signature(func) + params = sig.parameters.keys() + call_ns = {k: namespace[k] for k in params if k in namespace} + return functools.partial(func, **call_ns) + + +def save_method_args(method): + """ + Wrap a method such that when it is called, the args and kwargs are + saved on the method. + + >>> class MyClass: + ... @save_method_args + ... def method(self, a, b): + ... print(a, b) + >>> my_ob = MyClass() + >>> my_ob.method(1, 2) + 1 2 + >>> my_ob._saved_method.args + (1, 2) + >>> my_ob._saved_method.kwargs + {} + >>> my_ob.method(a=3, b='foo') + 3 foo + >>> my_ob._saved_method.args + () + >>> my_ob._saved_method.kwargs == dict(a=3, b='foo') + True + + The arguments are stored on the instance, allowing for + different instance to save different args. + + >>> your_ob = MyClass() + >>> your_ob.method({str('x'): 3}, b=[4]) + {'x': 3} [4] + >>> your_ob._saved_method.args + ({'x': 3},) + >>> my_ob._saved_method.args + () + """ + args_and_kwargs = collections.namedtuple('args_and_kwargs', 'args kwargs') # noqa: PYI024 # Internal; stubs used for typing + + @functools.wraps(method) + def wrapper(self, /, *args, **kwargs): + attr_name = '_saved_' + method.__name__ + attr = args_and_kwargs(args, kwargs) + setattr(self, attr_name, attr) + return method(self, *args, **kwargs) + + return wrapper + + +def except_(*exceptions, replace=None, use=None): + """ + Replace the indicated exceptions, if raised, with the indicated + literal replacement or evaluated expression (if present). + + >>> safe_int = except_(ValueError)(int) + >>> safe_int('five') + >>> safe_int('5') + 5 + + Specify a literal replacement with ``replace``. + + >>> safe_int_r = except_(ValueError, replace=0)(int) + >>> safe_int_r('five') + 0 + + Provide an expression to ``use`` to pass through particular parameters. + + >>> safe_int_pt = except_(ValueError, use='args[0]')(int) + >>> safe_int_pt('five') + 'five' + + """ + + def decorate(func): + @functools.wraps(func) + def wrapper(*args, **kwargs): + try: + return func(*args, **kwargs) + except exceptions: + try: + return eval(use) + except TypeError: + return replace + + return wrapper + + return decorate + + +def identity(x): + """ + Return the argument. + + >>> o = object() + >>> identity(o) is o + True + """ + return x + + +def bypass_when(check, *, _op=identity): + """ + Decorate a function to return its parameter when ``check``. + + >>> bypassed = [] # False + + >>> @bypass_when(bypassed) + ... def double(x): + ... return x * 2 + >>> double(2) + 4 + >>> bypassed[:] = [object()] # True + >>> double(2) + 2 + """ + + def decorate(func): + @functools.wraps(func) + def wrapper(param, /): + return param if _op(check) else func(param) + + return wrapper + + return decorate + + +def bypass_unless(check): + """ + Decorate a function to return its parameter unless ``check``. + + >>> enabled = [object()] # True + + >>> @bypass_unless(enabled) + ... def double(x): + ... return x * 2 + >>> double(2) + 4 + >>> del enabled[:] # False + >>> double(2) + 2 + """ + return bypass_when(check, _op=operator.not_) + + +@functools.singledispatch +def _splat_inner(args, func): + """Splat args to func.""" + return func(*args) + + +@_splat_inner.register +def _(args: collections.abc.Mapping, func): + """Splat kargs to func as kwargs.""" + return func(**args) + + +def splat(func): + """ + Wrap func to expect its parameters to be passed positionally in a tuple. + + Has a similar effect to that of ``itertools.starmap`` over + simple ``map``. + + >>> pairs = [(-1, 1), (0, 2)] + >>> more_itertools.consume(itertools.starmap(print, pairs)) + -1 1 + 0 2 + >>> more_itertools.consume(map(splat(print), pairs)) + -1 1 + 0 2 + + The approach generalizes to other iterators that don't have a "star" + equivalent, such as a "starfilter". + + >>> list(filter(splat(operator.add), pairs)) + [(0, 2)] + + Splat also accepts a mapping argument. + + >>> def is_nice(msg, code): + ... return "smile" in msg or code == 0 + >>> msgs = [ + ... dict(msg='smile!', code=20), + ... dict(msg='error :(', code=1), + ... dict(msg='unknown', code=0), + ... ] + >>> for msg in filter(splat(is_nice), msgs): + ... print(msg) + {'msg': 'smile!', 'code': 20} + {'msg': 'unknown', 'code': 0} + """ + return functools.wraps(func)(functools.partial(_splat_inner, func=func)) + + +_T = TypeVar('_T') + + +def chainable(method: Callable[[_T, ...], None]) -> Callable[[_T, ...], _T]: + """ + Wrap an instance method to always return self. + + + >>> class Dingus: + ... @chainable + ... def set_attr(self, name, val): + ... setattr(self, name, val) + >>> d = Dingus().set_attr('a', 'eh!') + >>> d.a + 'eh!' + >>> d2 = Dingus().set_attr('a', 'eh!').set_attr('b', 'bee!') + >>> d2.a + d2.b + 'eh!bee!' + + Enforces that the return value is null. + + >>> class BorkedDingus: + ... @chainable + ... def set_attr(self, name, val): + ... setattr(self, name, val) + ... return len(name) + >>> BorkedDingus().set_attr('a', 'eh!') + Traceback (most recent call last): + ... + AssertionError + """ + + @functools.wraps(method) + def wrapper(self, *args, **kwargs): + assert method(self, *args, **kwargs) is None + return self + + return wrapper + + +def noop(*args, **kwargs): + """ + A no-operation function that does nothing. + + >>> noop(1, 2, three=3) + """ diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/__init__.pyi b/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/__init__.pyi new file mode 100644 index 0000000000000000000000000000000000000000..6f834bf06d962463dd198c40931ad86546b1a359 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/__init__.pyi @@ -0,0 +1,123 @@ +from collections.abc import Callable, Hashable, Iterator +from functools import partial +from operator import methodcaller +from typing import ( + Any, + Generic, + Protocol, + TypeVar, + overload, +) + +from typing_extensions import Concatenate, ParamSpec, TypeVarTuple, Unpack + +_P = ParamSpec('_P') +_R = TypeVar('_R') +_T = TypeVar('_T') +_Ts = TypeVarTuple('_Ts') +_R1 = TypeVar('_R1') +_R2 = TypeVar('_R2') +_V = TypeVar('_V') +_S = TypeVar('_S') +_R_co = TypeVar('_R_co', covariant=True) + +class _OnceCallable(Protocol[_P, _R]): + saved_result: _R + reset: Callable[[], None] + def __call__(self, *args: _P.args, **kwargs: _P.kwargs) -> _R: ... + +class _ProxyMethodCacheWrapper(Protocol[_R_co]): + cache_clear: Callable[[], None] + def __call__(self, *args: Hashable, **kwargs: Hashable) -> _R_co: ... + +class _MethodCacheWrapper(Protocol[_R_co]): + def cache_clear(self) -> None: ... + def __call__(self, *args: Hashable, **kwargs: Hashable) -> _R_co: ... + +# `compose()` overloads below will cover most use cases. + +@overload +def compose( + __func1: Callable[[_R], _T], + __func2: Callable[_P, _R], + /, +) -> Callable[_P, _T]: ... +@overload +def compose( + __func1: Callable[[_R], _T], + __func2: Callable[[_R1], _R], + __func3: Callable[_P, _R1], + /, +) -> Callable[_P, _T]: ... +@overload +def compose( + __func1: Callable[[_R], _T], + __func2: Callable[[_R2], _R], + __func3: Callable[[_R1], _R2], + __func4: Callable[_P, _R1], + /, +) -> Callable[_P, _T]: ... +def once(func: Callable[_P, _R]) -> _OnceCallable[_P, _R]: ... +def method_cache( + method: Callable[..., _R], + cache_wrapper: Callable[[Callable[..., _R]], _MethodCacheWrapper[_R]] = ..., +) -> _MethodCacheWrapper[_R] | _ProxyMethodCacheWrapper[_R]: ... +def apply( + transform: Callable[[_R], _T], +) -> Callable[[Callable[_P, _R]], Callable[_P, _T]]: ... +def result_invoke( + action: Callable[[_R], Any], +) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ... +def invoke( + f: Callable[_P, _R], /, *args: _P.args, **kwargs: _P.kwargs +) -> Callable[_P, _R]: ... + +class Throttler(Generic[_R]): + last_called: float + func: Callable[..., _R] + max_rate: float + def __init__( + self, func: Callable[..., _R] | Throttler[_R], max_rate: float = ... + ) -> None: ... + def reset(self) -> None: ... + def __call__(self, *args: Any, **kwargs: Any) -> _R: ... + def __get__(self, obj: Any, owner: type[Any] | None = ...) -> Callable[..., _R]: ... + +def first_invoke( + func1: Callable[..., Any], func2: Callable[_P, _R] +) -> Callable[_P, _R]: ... + +method_caller: Callable[..., methodcaller] + +def retry_call( + func: Callable[..., _R], + cleanup: Callable[..., None] = ..., + retries: float = ..., + trap: type[BaseException] | tuple[type[BaseException], ...] = ..., +) -> _R: ... +def retry( + cleanup: Callable[..., None] = ..., + retries: float = ..., + trap: type[BaseException] | tuple[type[BaseException], ...] = ..., +) -> Callable[[Callable[..., _R]], Callable[..., _R]]: ... +def print_yielded(func: Callable[_P, Iterator[Any]]) -> Callable[_P, None]: ... +def pass_none( + func: Callable[Concatenate[_T, _P], _R], +) -> Callable[Concatenate[_T, _P], _R]: ... +def assign_params( + func: Callable[..., _R], namespace: dict[str, Any] +) -> partial[_R]: ... +def save_method_args( + method: Callable[Concatenate[_S, _P], _R], +) -> Callable[Concatenate[_S, _P], _R]: ... +def except_( + *exceptions: type[BaseException], replace: Any = ..., use: Any = ... +) -> Callable[[Callable[_P, Any]], Callable[_P, Any]]: ... +def identity(x: _T) -> _T: ... +def bypass_when( + check: _V, *, _op: Callable[[_V], Any] = ... +) -> Callable[[Callable[[_T], _R]], Callable[[_T], _T | _R]]: ... +def bypass_unless( + check: Any, +) -> Callable[[Callable[[_T], _R]], Callable[[_T], _T | _R]]: ... +def splat(func: Callable[[Unpack[_Ts]], _R]) -> Callable[[tuple[Unpack[_Ts]]], _R]: ... diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/__pycache__/__init__.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/__pycache__/__init__.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8c770934564baf3eafa187ad0ac9b18c884eb6d0 Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/__pycache__/__init__.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/py.typed b/python/Lib/site-packages/setuptools/_vendor/jaraco/functools/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/text/Lorem ipsum.txt b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/Lorem ipsum.txt new file mode 100644 index 0000000000000000000000000000000000000000..986f944b60b9900c22464a0c027d713854cc204e --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/Lorem ipsum.txt @@ -0,0 +1,2 @@ +Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. +Curabitur pretium tincidunt lacus. Nulla gravida orci a odio. Nullam varius, turpis et commodo pharetra, est eros bibendum elit, nec luctus magna felis sollicitudin mauris. Integer in mauris eu nibh euismod gravida. Duis ac tellus et risus vulputate vehicula. Donec lobortis risus a elit. Etiam tempor. Ut ullamcorper, ligula eu tempor congue, eros est euismod turpis, id tincidunt sapien risus a quam. Maecenas fermentum consequat mi. Donec fermentum. Pellentesque malesuada nulla a mi. Duis sapien sem, aliquet nec, commodo eget, consequat quis, neque. Aliquam faucibus, elit ut dictum aliquet, felis nisl adipiscing sapien, sed malesuada diam lacus eget erat. Cras mollis scelerisque nunc. Nullam arcu. Aliquam consequat. Curabitur augue lorem, dapibus quis, laoreet et, pretium ac, nisi. Aenean magna nisl, mollis quis, molestie eu, feugiat in, orci. In hac habitasse platea dictumst. diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/text/__init__.py b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..8567200ad7fad1ea127ff5f81c5509d96d37cbd7 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/__init__.py @@ -0,0 +1,647 @@ +import functools +import itertools +import re +import textwrap + +from typing import Iterable + +try: + from importlib.resources import files # type: ignore +except ImportError: # pragma: nocover + from importlib_resources import files # type: ignore + +from jaraco.context import ExceptionTrap +from jaraco.functools import compose, method_cache + + +def substitution(old, new): + """ + Return a function that will perform a substitution on a string + """ + return lambda s: s.replace(old, new) + + +def multi_substitution(*substitutions): + """ + Take a sequence of pairs specifying substitutions, and create + a function that performs those substitutions. + + >>> multi_substitution(('foo', 'bar'), ('bar', 'baz'))('foo') + 'baz' + """ + substitutions = itertools.starmap(substitution, substitutions) + # compose function applies last function first, so reverse the + # substitutions to get the expected order. + substitutions = reversed(tuple(substitutions)) + return compose(*substitutions) + + +class FoldedCase(str): + """ + A case insensitive string class; behaves just like str + except compares equal when the only variation is case. + + >>> s = FoldedCase('hello world') + + >>> s == 'Hello World' + True + + >>> 'Hello World' == s + True + + >>> s != 'Hello World' + False + + >>> s.index('O') + 4 + + >>> s.split('O') + ['hell', ' w', 'rld'] + + >>> sorted(map(FoldedCase, ['GAMMA', 'alpha', 'Beta'])) + ['alpha', 'Beta', 'GAMMA'] + + Sequence membership is straightforward. + + >>> "Hello World" in [s] + True + >>> s in ["Hello World"] + True + + Allows testing for set inclusion, but candidate and elements + must both be folded. + + >>> FoldedCase("Hello World") in {s} + True + >>> s in {FoldedCase("Hello World")} + True + + String inclusion works as long as the FoldedCase object + is on the right. + + >>> "hello" in FoldedCase("Hello World") + True + + But not if the FoldedCase object is on the left: + + >>> FoldedCase('hello') in 'Hello World' + False + + In that case, use ``in_``: + + >>> FoldedCase('hello').in_('Hello World') + True + + >>> FoldedCase('hello') > FoldedCase('Hello') + False + + >>> FoldedCase('ß') == FoldedCase('ss') + True + """ + + def __lt__(self, other): + return self.casefold() < other.casefold() + + def __gt__(self, other): + return self.casefold() > other.casefold() + + def __eq__(self, other): + return self.casefold() == other.casefold() + + def __ne__(self, other): + return self.casefold() != other.casefold() + + def __hash__(self): + return hash(self.casefold()) + + def __contains__(self, other): + return super().casefold().__contains__(other.casefold()) + + def in_(self, other): + "Does self appear in other?" + return self in FoldedCase(other) + + # cache casefold since it's likely to be called frequently. + @method_cache + def casefold(self): + return super().casefold() + + def index(self, sub): + return self.casefold().index(sub.casefold()) + + def split(self, splitter=' ', maxsplit=0): + pattern = re.compile(re.escape(splitter), re.I) + return pattern.split(self, maxsplit) + + +# Python 3.8 compatibility +_unicode_trap = ExceptionTrap(UnicodeDecodeError) + + +@_unicode_trap.passes +def is_decodable(value): + r""" + Return True if the supplied value is decodable (using the default + encoding). + + >>> is_decodable(b'\xff') + False + >>> is_decodable(b'\x32') + True + """ + value.decode() + + +def is_binary(value): + r""" + Return True if the value appears to be binary (that is, it's a byte + string and isn't decodable). + + >>> is_binary(b'\xff') + True + >>> is_binary('\xff') + False + """ + return isinstance(value, bytes) and not is_decodable(value) + + +def trim(s): + r""" + Trim something like a docstring to remove the whitespace that + is common due to indentation and formatting. + + >>> trim("\n\tfoo = bar\n\t\tbar = baz\n") + 'foo = bar\n\tbar = baz' + """ + return textwrap.dedent(s).strip() + + +def wrap(s): + """ + Wrap lines of text, retaining existing newlines as + paragraph markers. + + >>> print(wrap(lorem_ipsum)) + Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do + eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad + minim veniam, quis nostrud exercitation ullamco laboris nisi ut + aliquip ex ea commodo consequat. Duis aute irure dolor in + reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla + pariatur. Excepteur sint occaecat cupidatat non proident, sunt in + culpa qui officia deserunt mollit anim id est laborum. + + Curabitur pretium tincidunt lacus. Nulla gravida orci a odio. Nullam + varius, turpis et commodo pharetra, est eros bibendum elit, nec luctus + magna felis sollicitudin mauris. Integer in mauris eu nibh euismod + gravida. Duis ac tellus et risus vulputate vehicula. Donec lobortis + risus a elit. Etiam tempor. Ut ullamcorper, ligula eu tempor congue, + eros est euismod turpis, id tincidunt sapien risus a quam. Maecenas + fermentum consequat mi. Donec fermentum. Pellentesque malesuada nulla + a mi. Duis sapien sem, aliquet nec, commodo eget, consequat quis, + neque. Aliquam faucibus, elit ut dictum aliquet, felis nisl adipiscing + sapien, sed malesuada diam lacus eget erat. Cras mollis scelerisque + nunc. Nullam arcu. Aliquam consequat. Curabitur augue lorem, dapibus + quis, laoreet et, pretium ac, nisi. Aenean magna nisl, mollis quis, + molestie eu, feugiat in, orci. In hac habitasse platea dictumst. + """ + paragraphs = s.splitlines() + wrapped = ('\n'.join(textwrap.wrap(para)) for para in paragraphs) + return '\n\n'.join(wrapped) + + +def unwrap(s): + r""" + Given a multi-line string, return an unwrapped version. + + >>> wrapped = wrap(lorem_ipsum) + >>> wrapped.count('\n') + 20 + >>> unwrapped = unwrap(wrapped) + >>> unwrapped.count('\n') + 1 + >>> print(unwrapped) + Lorem ipsum dolor sit amet, consectetur adipiscing ... + Curabitur pretium tincidunt lacus. Nulla gravida orci ... + + """ + paragraphs = re.split(r'\n\n+', s) + cleaned = (para.replace('\n', ' ') for para in paragraphs) + return '\n'.join(cleaned) + + +lorem_ipsum: str = ( + files(__name__).joinpath('Lorem ipsum.txt').read_text(encoding='utf-8') +) + + +class Splitter: + """object that will split a string with the given arguments for each call + + >>> s = Splitter(',') + >>> s('hello, world, this is your, master calling') + ['hello', ' world', ' this is your', ' master calling'] + """ + + def __init__(self, *args): + self.args = args + + def __call__(self, s): + return s.split(*self.args) + + +def indent(string, prefix=' ' * 4): + """ + >>> indent('foo') + ' foo' + """ + return prefix + string + + +class WordSet(tuple): + """ + Given an identifier, return the words that identifier represents, + whether in camel case, underscore-separated, etc. + + >>> WordSet.parse("camelCase") + ('camel', 'Case') + + >>> WordSet.parse("under_sep") + ('under', 'sep') + + Acronyms should be retained + + >>> WordSet.parse("firstSNL") + ('first', 'SNL') + + >>> WordSet.parse("you_and_I") + ('you', 'and', 'I') + + >>> WordSet.parse("A simple test") + ('A', 'simple', 'test') + + Multiple caps should not interfere with the first cap of another word. + + >>> WordSet.parse("myABCClass") + ('my', 'ABC', 'Class') + + The result is a WordSet, providing access to other forms. + + >>> WordSet.parse("myABCClass").underscore_separated() + 'my_ABC_Class' + + >>> WordSet.parse('a-command').camel_case() + 'ACommand' + + >>> WordSet.parse('someIdentifier').lowered().space_separated() + 'some identifier' + + Slices of the result should return another WordSet. + + >>> WordSet.parse('taken-out-of-context')[1:].underscore_separated() + 'out_of_context' + + >>> WordSet.from_class_name(WordSet()).lowered().space_separated() + 'word set' + + >>> example = WordSet.parse('figured it out') + >>> example.headless_camel_case() + 'figuredItOut' + >>> example.dash_separated() + 'figured-it-out' + + """ + + _pattern = re.compile('([A-Z]?[a-z]+)|([A-Z]+(?![a-z]))') + + def capitalized(self): + return WordSet(word.capitalize() for word in self) + + def lowered(self): + return WordSet(word.lower() for word in self) + + def camel_case(self): + return ''.join(self.capitalized()) + + def headless_camel_case(self): + words = iter(self) + first = next(words).lower() + new_words = itertools.chain((first,), WordSet(words).camel_case()) + return ''.join(new_words) + + def underscore_separated(self): + return '_'.join(self) + + def dash_separated(self): + return '-'.join(self) + + def space_separated(self): + return ' '.join(self) + + def trim_right(self, item): + """ + Remove the item from the end of the set. + + >>> WordSet.parse('foo bar').trim_right('foo') + ('foo', 'bar') + >>> WordSet.parse('foo bar').trim_right('bar') + ('foo',) + >>> WordSet.parse('').trim_right('bar') + () + """ + return self[:-1] if self and self[-1] == item else self + + def trim_left(self, item): + """ + Remove the item from the beginning of the set. + + >>> WordSet.parse('foo bar').trim_left('foo') + ('bar',) + >>> WordSet.parse('foo bar').trim_left('bar') + ('foo', 'bar') + >>> WordSet.parse('').trim_left('bar') + () + """ + return self[1:] if self and self[0] == item else self + + def trim(self, item): + """ + >>> WordSet.parse('foo bar').trim('foo') + ('bar',) + """ + return self.trim_left(item).trim_right(item) + + def __getitem__(self, item): + result = super().__getitem__(item) + if isinstance(item, slice): + result = WordSet(result) + return result + + @classmethod + def parse(cls, identifier): + matches = cls._pattern.finditer(identifier) + return WordSet(match.group(0) for match in matches) + + @classmethod + def from_class_name(cls, subject): + return cls.parse(subject.__class__.__name__) + + +# for backward compatibility +words = WordSet.parse + + +def simple_html_strip(s): + r""" + Remove HTML from the string `s`. + + >>> str(simple_html_strip('')) + '' + + >>> print(simple_html_strip('A stormy day in paradise')) + A stormy day in paradise + + >>> print(simple_html_strip('Somebody tell the truth.')) + Somebody tell the truth. + + >>> print(simple_html_strip('What about
\nmultiple lines?')) + What about + multiple lines? + """ + html_stripper = re.compile('()|(<[^>]*>)|([^<]+)', re.DOTALL) + texts = (match.group(3) or '' for match in html_stripper.finditer(s)) + return ''.join(texts) + + +class SeparatedValues(str): + """ + A string separated by a separator. Overrides __iter__ for getting + the values. + + >>> list(SeparatedValues('a,b,c')) + ['a', 'b', 'c'] + + Whitespace is stripped and empty values are discarded. + + >>> list(SeparatedValues(' a, b , c, ')) + ['a', 'b', 'c'] + """ + + separator = ',' + + def __iter__(self): + parts = self.split(self.separator) + return filter(None, (part.strip() for part in parts)) + + +class Stripper: + r""" + Given a series of lines, find the common prefix and strip it from them. + + >>> lines = [ + ... 'abcdefg\n', + ... 'abc\n', + ... 'abcde\n', + ... ] + >>> res = Stripper.strip_prefix(lines) + >>> res.prefix + 'abc' + >>> list(res.lines) + ['defg\n', '\n', 'de\n'] + + If no prefix is common, nothing should be stripped. + + >>> lines = [ + ... 'abcd\n', + ... '1234\n', + ... ] + >>> res = Stripper.strip_prefix(lines) + >>> res.prefix = '' + >>> list(res.lines) + ['abcd\n', '1234\n'] + """ + + def __init__(self, prefix, lines): + self.prefix = prefix + self.lines = map(self, lines) + + @classmethod + def strip_prefix(cls, lines): + prefix_lines, lines = itertools.tee(lines) + prefix = functools.reduce(cls.common_prefix, prefix_lines) + return cls(prefix, lines) + + def __call__(self, line): + if not self.prefix: + return line + null, prefix, rest = line.partition(self.prefix) + return rest + + @staticmethod + def common_prefix(s1, s2): + """ + Return the common prefix of two lines. + """ + index = min(len(s1), len(s2)) + while s1[:index] != s2[:index]: + index -= 1 + return s1[:index] + + +def remove_prefix(text, prefix): + """ + Remove the prefix from the text if it exists. + + >>> remove_prefix('underwhelming performance', 'underwhelming ') + 'performance' + + >>> remove_prefix('something special', 'sample') + 'something special' + """ + null, prefix, rest = text.rpartition(prefix) + return rest + + +def remove_suffix(text, suffix): + """ + Remove the suffix from the text if it exists. + + >>> remove_suffix('name.git', '.git') + 'name' + + >>> remove_suffix('something special', 'sample') + 'something special' + """ + rest, suffix, null = text.partition(suffix) + return rest + + +def normalize_newlines(text): + r""" + Replace alternate newlines with the canonical newline. + + >>> normalize_newlines('Lorem Ipsum\u2029') + 'Lorem Ipsum\n' + >>> normalize_newlines('Lorem Ipsum\r\n') + 'Lorem Ipsum\n' + >>> normalize_newlines('Lorem Ipsum\x85') + 'Lorem Ipsum\n' + """ + newlines = ['\r\n', '\r', '\n', '\u0085', '\u2028', '\u2029'] + pattern = '|'.join(newlines) + return re.sub(pattern, '\n', text) + + +def _nonblank(str): + return str and not str.startswith('#') + + +@functools.singledispatch +def yield_lines(iterable): + r""" + Yield valid lines of a string or iterable. + + >>> list(yield_lines('')) + [] + >>> list(yield_lines(['foo', 'bar'])) + ['foo', 'bar'] + >>> list(yield_lines('foo\nbar')) + ['foo', 'bar'] + >>> list(yield_lines('\nfoo\n#bar\nbaz #comment')) + ['foo', 'baz #comment'] + >>> list(yield_lines(['foo\nbar', 'baz', 'bing\n\n\n'])) + ['foo', 'bar', 'baz', 'bing'] + """ + return itertools.chain.from_iterable(map(yield_lines, iterable)) + + +@yield_lines.register(str) +def _(text): + return clean(text.splitlines()) + + +def clean(lines: Iterable[str]): + """ + Yield non-blank, non-comment elements from lines. + """ + return filter(_nonblank, map(str.strip, lines)) + + +def drop_comment(line): + """ + Drop comments. + + >>> drop_comment('foo # bar') + 'foo' + + A hash without a space may be in a URL. + + >>> drop_comment('http://example.com/foo#bar') + 'http://example.com/foo#bar' + """ + return line.partition(' #')[0] + + +def join_continuation(lines): + r""" + Join lines continued by a trailing backslash. + + >>> list(join_continuation(['foo \\', 'bar', 'baz'])) + ['foobar', 'baz'] + >>> list(join_continuation(['foo \\', 'bar', 'baz'])) + ['foobar', 'baz'] + >>> list(join_continuation(['foo \\', 'bar \\', 'baz'])) + ['foobarbaz'] + + Not sure why, but... + The character preceding the backslash is also elided. + + >>> list(join_continuation(['goo\\', 'dly'])) + ['godly'] + + A terrible idea, but... + If no line is available to continue, suppress the lines. + + >>> list(join_continuation(['foo', 'bar\\', 'baz\\'])) + ['foo'] + """ + lines = iter(lines) + for item in lines: + while item.endswith('\\'): + try: + item = item[:-2].strip() + next(lines) + except StopIteration: + return + yield item + + +def read_newlines(filename, limit=1024): + r""" + >>> tmp_path = getfixture('tmp_path') + >>> filename = tmp_path / 'out.txt' + >>> _ = filename.write_text('foo\n', newline='', encoding='utf-8') + >>> read_newlines(filename) + '\n' + >>> _ = filename.write_text('foo\r\n', newline='', encoding='utf-8') + >>> read_newlines(filename) + '\r\n' + >>> _ = filename.write_text('foo\r\nbar\nbing\r', newline='', encoding='utf-8') + >>> read_newlines(filename) + ('\r', '\n', '\r\n') + """ + with open(filename, encoding='utf-8') as fp: + fp.read(limit) + return fp.newlines + + +def lines_from(input): + """ + Generate lines from a :class:`importlib.resources.abc.Traversable` path. + + >>> lines = lines_from(files(__name__).joinpath('Lorem ipsum.txt')) + >>> next(lines) + 'Lorem ipsum...' + >>> next(lines) + 'Curabitur pretium...' + """ + with input.open(encoding='utf-8') as stream: + yield from stream diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/text/__pycache__/__init__.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/__pycache__/__init__.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..31582e993056e983a7f34c0b8149c51f882cfa0c Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/__pycache__/__init__.cpython-313.pyc differ diff --git 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mode 100644 index 0000000000000000000000000000000000000000..6495cc165d7526f612fb488b8abe4bc5ab3ad668 Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/__pycache__/to-qwerty.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/text/layouts.py b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/layouts.py new file mode 100644 index 0000000000000000000000000000000000000000..9636f0f7b53cb4d1ea5842e1eb62c998ddb91070 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/layouts.py @@ -0,0 +1,25 @@ +qwerty = "-=qwertyuiop[]asdfghjkl;'zxcvbnm,./_+QWERTYUIOP{}ASDFGHJKL:\"ZXCVBNM<>?" +dvorak = "[]',.pyfgcrl/=aoeuidhtns-;qjkxbmwvz{}\"<>PYFGCRL?+AOEUIDHTNS_:QJKXBMWVZ" + + +to_dvorak = str.maketrans(qwerty, dvorak) +to_qwerty = str.maketrans(dvorak, qwerty) + + +def translate(input, translation): + """ + >>> translate('dvorak', to_dvorak) + 'ekrpat' + >>> translate('qwerty', to_qwerty) + 'x,dokt' + """ + return input.translate(translation) + + +def _translate_stream(stream, translation): + """ + >>> import io + >>> _translate_stream(io.StringIO('foo'), to_dvorak) + urr + """ + print(translate(stream.read(), translation)) diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/text/show-newlines.py b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/show-newlines.py new file mode 100644 index 0000000000000000000000000000000000000000..ef4cc54c9e457728d63e9fb6033950fed074016c --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/show-newlines.py @@ -0,0 +1,32 @@ +import autocommand +import inflect +from more_itertools import always_iterable + +import jaraco.text + + +def report_newlines(filename): + r""" + Report the newlines in the indicated file. + + >>> tmp_path = getfixture('tmp_path') + >>> filename = tmp_path / 'out.txt' + >>> _ = filename.write_text('foo\nbar\n', newline='', encoding='utf-8') + >>> report_newlines(filename) + newline is '\n' + >>> filename = tmp_path / 'out.txt' + >>> _ = filename.write_text('foo\nbar\r\n', newline='', encoding='utf-8') + >>> report_newlines(filename) + newlines are ('\n', '\r\n') + """ + newlines = jaraco.text.read_newlines(filename) + count = len(tuple(always_iterable(newlines))) + engine = inflect.engine() + print( + engine.plural_noun("newline", count), + engine.plural_verb("is", count), + repr(newlines), + ) + + +autocommand.autocommand(__name__)(report_newlines) diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/text/strip-prefix.py b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/strip-prefix.py new file mode 100644 index 0000000000000000000000000000000000000000..761717a9b9e1f837eeacf0e888822f6fad881361 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/strip-prefix.py @@ -0,0 +1,21 @@ +import sys + +import autocommand + +from jaraco.text import Stripper + + +def strip_prefix(): + r""" + Strip any common prefix from stdin. + + >>> import io, pytest + >>> getfixture('monkeypatch').setattr('sys.stdin', io.StringIO('abcdef\nabc123')) + >>> strip_prefix() + def + 123 + """ + sys.stdout.writelines(Stripper.strip_prefix(sys.stdin).lines) + + +autocommand.autocommand(__name__)(strip_prefix) diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/text/to-dvorak.py b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/to-dvorak.py new file mode 100644 index 0000000000000000000000000000000000000000..14c8981e441dee59afa715853c87a84796b931fc --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/to-dvorak.py @@ -0,0 +1,5 @@ +import sys + +from . import layouts + +__name__ == '__main__' and layouts._translate_stream(sys.stdin, layouts.to_dvorak) diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco/text/to-qwerty.py b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/to-qwerty.py new file mode 100644 index 0000000000000000000000000000000000000000..23596fda930cde864e643152ec706b6149f130f2 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco/text/to-qwerty.py @@ -0,0 +1,5 @@ +import sys + +from . import layouts + +__name__ == '__main__' and layouts._translate_stream(sys.stdin, layouts.to_qwerty) diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco_context-6.1.0.dist-info/licenses/LICENSE b/python/Lib/site-packages/setuptools/_vendor/jaraco_context-6.1.0.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..c891f411dc44c70ff121531af2ee189d3da4c871 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco_context-6.1.0.dist-info/licenses/LICENSE @@ -0,0 +1,18 @@ +MIT License + +Copyright (c) 2026 + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and +associated documentation files (the "Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the +following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial +portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT +LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO +EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/python/Lib/site-packages/setuptools/_vendor/jaraco_functools-4.4.0.dist-info/licenses/LICENSE b/python/Lib/site-packages/setuptools/_vendor/jaraco_functools-4.4.0.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..f60bd572013c6abcb3a82ba9b50d84935de6394f --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/jaraco_functools-4.4.0.dist-info/licenses/LICENSE @@ -0,0 +1,18 @@ +MIT License + +Copyright (c) 2025 + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and +associated documentation files (the "Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the +following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial +portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT +LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO +EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/python/Lib/site-packages/setuptools/_vendor/more_itertools-10.8.0.dist-info/licenses/LICENSE b/python/Lib/site-packages/setuptools/_vendor/more_itertools-10.8.0.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..0a523bece3e50519653c4d7a38399baa487fefa1 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/more_itertools-10.8.0.dist-info/licenses/LICENSE @@ -0,0 +1,19 @@ +Copyright (c) 2012 Erik Rose + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies +of the Software, and to permit persons to whom the Software is furnished to do +so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/python/Lib/site-packages/setuptools/_vendor/more_itertools/__pycache__/__init__.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/more_itertools/__pycache__/__init__.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..095efffa6e624c0373db3a512d47872edcb165c3 Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/more_itertools/__pycache__/__init__.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/more_itertools/__pycache__/recipes.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/more_itertools/__pycache__/recipes.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..f188860686701d35b678acb564c876529118003f Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/more_itertools/__pycache__/recipes.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/more_itertools/more.py b/python/Lib/site-packages/setuptools/_vendor/more_itertools/more.py new file mode 100644 index 0000000000000000000000000000000000000000..bf501956ae6c77e7597948abdaede960ca259444 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/more_itertools/more.py @@ -0,0 +1,5303 @@ +import math +import warnings + +from collections import Counter, defaultdict, deque, abc +from collections.abc import Sequence +from contextlib import suppress +from functools import cached_property, partial, reduce, wraps +from heapq import heapify, heapreplace +from itertools import ( + chain, + combinations, + compress, + count, + cycle, + dropwhile, + groupby, + islice, + permutations, + repeat, + starmap, + takewhile, + tee, + zip_longest, + product, +) +from math import comb, e, exp, factorial, floor, fsum, log, log1p, perm, tau +from math import ceil +from queue import Empty, Queue +from random import random, randrange, shuffle, uniform +from operator import ( + attrgetter, + is_not, + itemgetter, + lt, + mul, + neg, + sub, + gt, +) +from sys import hexversion, maxsize +from time import monotonic + +from .recipes import ( + _marker, + _zip_equal, + UnequalIterablesError, + consume, + first_true, + flatten, + is_prime, + nth, + powerset, + sieve, + take, + unique_everseen, + all_equal, + batched, +) + +__all__ = [ + 'AbortThread', + 'SequenceView', + 'UnequalIterablesError', + 'adjacent', + 'all_unique', + 'always_iterable', + 'always_reversible', + 'argmax', + 'argmin', + 'bucket', + 'callback_iter', + 'chunked', + 'chunked_even', + 'circular_shifts', + 'collapse', + 'combination_index', + 'combination_with_replacement_index', + 'consecutive_groups', + 'constrained_batches', + 'consumer', + 'count_cycle', + 'countable', + 'derangements', + 'dft', + 'difference', + 'distinct_combinations', + 'distinct_permutations', + 'distribute', + 'divide', + 'doublestarmap', + 'duplicates_everseen', + 'duplicates_justseen', + 'classify_unique', + 'exactly_n', + 'extract', + 'filter_except', + 'filter_map', + 'first', + 'gray_product', + 'groupby_transform', + 'ichunked', + 'iequals', + 'idft', + 'ilen', + 'interleave', + 'interleave_evenly', + 'interleave_longest', + 'interleave_randomly', + 'intersperse', + 'is_sorted', + 'islice_extended', + 'iterate', + 'iter_suppress', + 'join_mappings', + 'last', + 'locate', + 'longest_common_prefix', + 'lstrip', + 'make_decorator', + 'map_except', + 'map_if', + 'map_reduce', + 'mark_ends', + 'minmax', + 'nth_or_last', + 'nth_permutation', + 'nth_prime', + 'nth_product', + 'nth_combination_with_replacement', + 'numeric_range', + 'one', + 'only', + 'outer_product', + 'padded', + 'partial_product', + 'partitions', + 'peekable', + 'permutation_index', + 'powerset_of_sets', + 'product_index', + 'raise_', + 'repeat_each', + 'repeat_last', + 'replace', + 'rlocate', + 'rstrip', + 'run_length', + 'sample', + 'seekable', + 'set_partitions', + 'side_effect', + 'sliced', + 'sort_together', + 'split_after', + 'split_at', + 'split_before', + 'split_into', + 'split_when', + 'spy', + 'stagger', + 'strip', + 'strictly_n', + 'substrings', + 'substrings_indexes', + 'takewhile_inclusive', + 'time_limited', + 'unique_in_window', + 'unique_to_each', + 'unzip', + 'value_chain', + 'windowed', + 'windowed_complete', + 'with_iter', + 'zip_broadcast', + 'zip_equal', + 'zip_offset', +] + +# math.sumprod is available for Python 3.12+ +try: + from math import sumprod as _fsumprod + +except ImportError: # pragma: no cover + # Extended precision algorithms from T. J. Dekker, + # "A Floating-Point Technique for Extending the Available Precision" + # https://csclub.uwaterloo.ca/~pbarfuss/dekker1971.pdf + # Formulas: (5.5) (5.6) and (5.8). Code: mul12() + + def dl_split(x: float): + "Split a float into two half-precision components." + t = x * 134217729.0 # Veltkamp constant = 2.0 ** 27 + 1 + hi = t - (t - x) + lo = x - hi + return hi, lo + + def dl_mul(x, y): + "Lossless multiplication." + xx_hi, xx_lo = dl_split(x) + yy_hi, yy_lo = dl_split(y) + p = xx_hi * yy_hi + q = xx_hi * yy_lo + xx_lo * yy_hi + z = p + q + zz = p - z + q + xx_lo * yy_lo + return z, zz + + def _fsumprod(p, q): + return fsum(chain.from_iterable(map(dl_mul, p, q))) + + +def chunked(iterable, n, strict=False): + """Break *iterable* into lists of length *n*: + + >>> list(chunked([1, 2, 3, 4, 5, 6], 3)) + [[1, 2, 3], [4, 5, 6]] + + By the default, the last yielded list will have fewer than *n* elements + if the length of *iterable* is not divisible by *n*: + + >>> list(chunked([1, 2, 3, 4, 5, 6, 7, 8], 3)) + [[1, 2, 3], [4, 5, 6], [7, 8]] + + To use a fill-in value instead, see the :func:`grouper` recipe. + + If the length of *iterable* is not divisible by *n* and *strict* is + ``True``, then ``ValueError`` will be raised before the last + list is yielded. + + """ + iterator = iter(partial(take, n, iter(iterable)), []) + if strict: + if n is None: + raise ValueError('n must not be None when using strict mode.') + + def ret(): + for chunk in iterator: + if len(chunk) != n: + raise ValueError('iterable is not divisible by n.') + yield chunk + + return ret() + else: + return iterator + + +def first(iterable, default=_marker): + """Return the first item of *iterable*, or *default* if *iterable* is + empty. + + >>> first([0, 1, 2, 3]) + 0 + >>> first([], 'some default') + 'some default' + + If *default* is not provided and there are no items in the iterable, + raise ``ValueError``. + + :func:`first` is useful when you have a generator of expensive-to-retrieve + values and want any arbitrary one. It is marginally shorter than + ``next(iter(iterable), default)``. + + """ + for item in iterable: + return item + if default is _marker: + raise ValueError( + 'first() was called on an empty iterable, ' + 'and no default value was provided.' + ) + return default + + +def last(iterable, default=_marker): + """Return the last item of *iterable*, or *default* if *iterable* is + empty. + + >>> last([0, 1, 2, 3]) + 3 + >>> last([], 'some default') + 'some default' + + If *default* is not provided and there are no items in the iterable, + raise ``ValueError``. + """ + try: + if isinstance(iterable, Sequence): + return iterable[-1] + # Work around https://bugs.python.org/issue38525 + if getattr(iterable, '__reversed__', None): + return next(reversed(iterable)) + return deque(iterable, maxlen=1)[-1] + except (IndexError, TypeError, StopIteration): + if default is _marker: + raise ValueError( + 'last() was called on an empty iterable, ' + 'and no default value was provided.' + ) + return default + + +def nth_or_last(iterable, n, default=_marker): + """Return the nth or the last item of *iterable*, + or *default* if *iterable* is empty. + + >>> nth_or_last([0, 1, 2, 3], 2) + 2 + >>> nth_or_last([0, 1], 2) + 1 + >>> nth_or_last([], 0, 'some default') + 'some default' + + If *default* is not provided and there are no items in the iterable, + raise ``ValueError``. + """ + return last(islice(iterable, n + 1), default=default) + + +class peekable: + """Wrap an iterator to allow lookahead and prepending elements. + + Call :meth:`peek` on the result to get the value that will be returned + by :func:`next`. This won't advance the iterator: + + >>> p = peekable(['a', 'b']) + >>> p.peek() + 'a' + >>> next(p) + 'a' + + Pass :meth:`peek` a default value to return that instead of raising + ``StopIteration`` when the iterator is exhausted. + + >>> p = peekable([]) + >>> p.peek('hi') + 'hi' + + peekables also offer a :meth:`prepend` method, which "inserts" items + at the head of the iterable: + + >>> p = peekable([1, 2, 3]) + >>> p.prepend(10, 11, 12) + >>> next(p) + 10 + >>> p.peek() + 11 + >>> list(p) + [11, 12, 1, 2, 3] + + peekables can be indexed. Index 0 is the item that will be returned by + :func:`next`, index 1 is the item after that, and so on: + The values up to the given index will be cached. + + >>> p = peekable(['a', 'b', 'c', 'd']) + >>> p[0] + 'a' + >>> p[1] + 'b' + >>> next(p) + 'a' + + Negative indexes are supported, but be aware that they will cache the + remaining items in the source iterator, which may require significant + storage. + + To check whether a peekable is exhausted, check its truth value: + + >>> p = peekable(['a', 'b']) + >>> if p: # peekable has items + ... list(p) + ['a', 'b'] + >>> if not p: # peekable is exhausted + ... list(p) + [] + + """ + + def __init__(self, iterable): + self._it = iter(iterable) + self._cache = deque() + + def __iter__(self): + return self + + def __bool__(self): + try: + self.peek() + except StopIteration: + return False + return True + + def peek(self, default=_marker): + """Return the item that will be next returned from ``next()``. + + Return ``default`` if there are no items left. If ``default`` is not + provided, raise ``StopIteration``. + + """ + if not self._cache: + try: + self._cache.append(next(self._it)) + except StopIteration: + if default is _marker: + raise + return default + return self._cache[0] + + def prepend(self, *items): + """Stack up items to be the next ones returned from ``next()`` or + ``self.peek()``. The items will be returned in + first in, first out order:: + + >>> p = peekable([1, 2, 3]) + >>> p.prepend(10, 11, 12) + >>> next(p) + 10 + >>> list(p) + [11, 12, 1, 2, 3] + + It is possible, by prepending items, to "resurrect" a peekable that + previously raised ``StopIteration``. + + >>> p = peekable([]) + >>> next(p) + Traceback (most recent call last): + ... + StopIteration + >>> p.prepend(1) + >>> next(p) + 1 + >>> next(p) + Traceback (most recent call last): + ... + StopIteration + + """ + self._cache.extendleft(reversed(items)) + + def __next__(self): + if self._cache: + return self._cache.popleft() + + return next(self._it) + + def _get_slice(self, index): + # Normalize the slice's arguments + step = 1 if (index.step is None) else index.step + if step > 0: + start = 0 if (index.start is None) else index.start + stop = maxsize if (index.stop is None) else index.stop + elif step < 0: + start = -1 if (index.start is None) else index.start + stop = (-maxsize - 1) if (index.stop is None) else index.stop + else: + raise ValueError('slice step cannot be zero') + + # If either the start or stop index is negative, we'll need to cache + # the rest of the iterable in order to slice from the right side. + if (start < 0) or (stop < 0): + self._cache.extend(self._it) + # Otherwise we'll need to find the rightmost index and cache to that + # point. + else: + n = min(max(start, stop) + 1, maxsize) + cache_len = len(self._cache) + if n >= cache_len: + self._cache.extend(islice(self._it, n - cache_len)) + + return list(self._cache)[index] + + def __getitem__(self, index): + if isinstance(index, slice): + return self._get_slice(index) + + cache_len = len(self._cache) + if index < 0: + self._cache.extend(self._it) + elif index >= cache_len: + self._cache.extend(islice(self._it, index + 1 - cache_len)) + + return self._cache[index] + + +def consumer(func): + """Decorator that automatically advances a PEP-342-style "reverse iterator" + to its first yield point so you don't have to call ``next()`` on it + manually. + + >>> @consumer + ... def tally(): + ... i = 0 + ... while True: + ... print('Thing number %s is %s.' % (i, (yield))) + ... i += 1 + ... + >>> t = tally() + >>> t.send('red') + Thing number 0 is red. + >>> t.send('fish') + Thing number 1 is fish. + + Without the decorator, you would have to call ``next(t)`` before + ``t.send()`` could be used. + + """ + + @wraps(func) + def wrapper(*args, **kwargs): + gen = func(*args, **kwargs) + next(gen) + return gen + + return wrapper + + +def ilen(iterable): + """Return the number of items in *iterable*. + + For example, there are 168 prime numbers below 1,000: + + >>> ilen(sieve(1000)) + 168 + + Equivalent to, but faster than:: + + def ilen(iterable): + count = 0 + for _ in iterable: + count += 1 + return count + + This fully consumes the iterable, so handle with care. + + """ + # This is the "most beautiful of the fast variants" of this function. + # If you think you can improve on it, please ensure that your version + # is both 10x faster and 10x more beautiful. + return sum(compress(repeat(1), zip(iterable))) + + +def iterate(func, start): + """Return ``start``, ``func(start)``, ``func(func(start))``, ... + + Produces an infinite iterator. To add a stopping condition, + use :func:`take`, ``takewhile``, or :func:`takewhile_inclusive`:. + + >>> take(10, iterate(lambda x: 2*x, 1)) + [1, 2, 4, 8, 16, 32, 64, 128, 256, 512] + + >>> collatz = lambda x: 3*x + 1 if x%2==1 else x // 2 + >>> list(takewhile_inclusive(lambda x: x!=1, iterate(collatz, 10))) + [10, 5, 16, 8, 4, 2, 1] + + """ + with suppress(StopIteration): + while True: + yield start + start = func(start) + + +def with_iter(context_manager): + """Wrap an iterable in a ``with`` statement, so it closes once exhausted. + + For example, this will close the file when the iterator is exhausted:: + + upper_lines = (line.upper() for line in with_iter(open('foo'))) + + Any context manager which returns an iterable is a candidate for + ``with_iter``. + + """ + with context_manager as iterable: + yield from iterable + + +def one(iterable, too_short=None, too_long=None): + """Return the first item from *iterable*, which is expected to contain only + that item. Raise an exception if *iterable* is empty or has more than one + item. + + :func:`one` is useful for ensuring that an iterable contains only one item. + For example, it can be used to retrieve the result of a database query + that is expected to return a single row. + + If *iterable* is empty, ``ValueError`` will be raised. You may specify a + different exception with the *too_short* keyword: + + >>> it = [] + >>> one(it) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + ValueError: too few items in iterable (expected 1)' + >>> too_short = IndexError('too few items') + >>> one(it, too_short=too_short) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + IndexError: too few items + + Similarly, if *iterable* contains more than one item, ``ValueError`` will + be raised. You may specify a different exception with the *too_long* + keyword: + + >>> it = ['too', 'many'] + >>> one(it) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + ValueError: Expected exactly one item in iterable, but got 'too', + 'many', and perhaps more. + >>> too_long = RuntimeError + >>> one(it, too_long=too_long) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + RuntimeError + + Note that :func:`one` attempts to advance *iterable* twice to ensure there + is only one item. See :func:`spy` or :func:`peekable` to check iterable + contents less destructively. + + """ + iterator = iter(iterable) + for first in iterator: + for second in iterator: + msg = ( + f'Expected exactly one item in iterable, but got {first!r}, ' + f'{second!r}, and perhaps more.' + ) + raise too_long or ValueError(msg) + return first + raise too_short or ValueError('too few items in iterable (expected 1)') + + +def raise_(exception, *args): + raise exception(*args) + + +def strictly_n(iterable, n, too_short=None, too_long=None): + """Validate that *iterable* has exactly *n* items and return them if + it does. If it has fewer than *n* items, call function *too_short* + with the actual number of items. If it has more than *n* items, call function + *too_long* with the number ``n + 1``. + + >>> iterable = ['a', 'b', 'c', 'd'] + >>> n = 4 + >>> list(strictly_n(iterable, n)) + ['a', 'b', 'c', 'd'] + + Note that the returned iterable must be consumed in order for the check to + be made. + + By default, *too_short* and *too_long* are functions that raise + ``ValueError``. + + >>> list(strictly_n('ab', 3)) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + ValueError: too few items in iterable (got 2) + + >>> list(strictly_n('abc', 2)) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + ValueError: too many items in iterable (got at least 3) + + You can instead supply functions that do something else. + *too_short* will be called with the number of items in *iterable*. + *too_long* will be called with `n + 1`. + + >>> def too_short(item_count): + ... raise RuntimeError + >>> it = strictly_n('abcd', 6, too_short=too_short) + >>> list(it) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + RuntimeError + + >>> def too_long(item_count): + ... print('The boss is going to hear about this') + >>> it = strictly_n('abcdef', 4, too_long=too_long) + >>> list(it) + The boss is going to hear about this + ['a', 'b', 'c', 'd'] + + """ + if too_short is None: + too_short = lambda item_count: raise_( + ValueError, + f'Too few items in iterable (got {item_count})', + ) + + if too_long is None: + too_long = lambda item_count: raise_( + ValueError, + f'Too many items in iterable (got at least {item_count})', + ) + + it = iter(iterable) + + sent = 0 + for item in islice(it, n): + yield item + sent += 1 + + if sent < n: + too_short(sent) + return + + for item in it: + too_long(n + 1) + return + + +def distinct_permutations(iterable, r=None): + """Yield successive distinct permutations of the elements in *iterable*. + + >>> sorted(distinct_permutations([1, 0, 1])) + [(0, 1, 1), (1, 0, 1), (1, 1, 0)] + + Equivalent to yielding from ``set(permutations(iterable))``, except + duplicates are not generated and thrown away. For larger input sequences + this is much more efficient. + + Duplicate permutations arise when there are duplicated elements in the + input iterable. The number of items returned is + `n! / (x_1! * x_2! * ... * x_n!)`, where `n` is the total number of + items input, and each `x_i` is the count of a distinct item in the input + sequence. The function :func:`multinomial` computes this directly. + + If *r* is given, only the *r*-length permutations are yielded. + + >>> sorted(distinct_permutations([1, 0, 1], r=2)) + [(0, 1), (1, 0), (1, 1)] + >>> sorted(distinct_permutations(range(3), r=2)) + [(0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)] + + *iterable* need not be sortable, but note that using equal (``x == y``) + but non-identical (``id(x) != id(y)``) elements may produce surprising + behavior. For example, ``1`` and ``True`` are equal but non-identical: + + >>> list(distinct_permutations([1, True, '3'])) # doctest: +SKIP + [ + (1, True, '3'), + (1, '3', True), + ('3', 1, True) + ] + >>> list(distinct_permutations([1, 2, '3'])) # doctest: +SKIP + [ + (1, 2, '3'), + (1, '3', 2), + (2, 1, '3'), + (2, '3', 1), + ('3', 1, 2), + ('3', 2, 1) + ] + """ + + # Algorithm: https://w.wiki/Qai + def _full(A): + while True: + # Yield the permutation we have + yield tuple(A) + + # Find the largest index i such that A[i] < A[i + 1] + for i in range(size - 2, -1, -1): + if A[i] < A[i + 1]: + break + # If no such index exists, this permutation is the last one + else: + return + + # Find the largest index j greater than j such that A[i] < A[j] + for j in range(size - 1, i, -1): + if A[i] < A[j]: + break + + # Swap the value of A[i] with that of A[j], then reverse the + # sequence from A[i + 1] to form the new permutation + A[i], A[j] = A[j], A[i] + A[i + 1 :] = A[: i - size : -1] # A[i + 1:][::-1] + + # Algorithm: modified from the above + def _partial(A, r): + # Split A into the first r items and the last r items + head, tail = A[:r], A[r:] + right_head_indexes = range(r - 1, -1, -1) + left_tail_indexes = range(len(tail)) + + while True: + # Yield the permutation we have + yield tuple(head) + + # Starting from the right, find the first index of the head with + # value smaller than the maximum value of the tail - call it i. + pivot = tail[-1] + for i in right_head_indexes: + if head[i] < pivot: + break + pivot = head[i] + else: + return + + # Starting from the left, find the first value of the tail + # with a value greater than head[i] and swap. + for j in left_tail_indexes: + if tail[j] > head[i]: + head[i], tail[j] = tail[j], head[i] + break + # If we didn't find one, start from the right and find the first + # index of the head with a value greater than head[i] and swap. + else: + for j in right_head_indexes: + if head[j] > head[i]: + head[i], head[j] = head[j], head[i] + break + + # Reverse head[i + 1:] and swap it with tail[:r - (i + 1)] + tail += head[: i - r : -1] # head[i + 1:][::-1] + i += 1 + head[i:], tail[:] = tail[: r - i], tail[r - i :] + + items = list(iterable) + + try: + items.sort() + sortable = True + except TypeError: + sortable = False + + indices_dict = defaultdict(list) + + for item in items: + indices_dict[items.index(item)].append(item) + + indices = [items.index(item) for item in items] + indices.sort() + + equivalent_items = {k: cycle(v) for k, v in indices_dict.items()} + + def permuted_items(permuted_indices): + return tuple( + next(equivalent_items[index]) for index in permuted_indices + ) + + size = len(items) + if r is None: + r = size + + # functools.partial(_partial, ... ) + algorithm = _full if (r == size) else partial(_partial, r=r) + + if 0 < r <= size: + if sortable: + return algorithm(items) + else: + return ( + permuted_items(permuted_indices) + for permuted_indices in algorithm(indices) + ) + + return iter(() if r else ((),)) + + +def derangements(iterable, r=None): + """Yield successive derangements of the elements in *iterable*. + + A derangement is a permutation in which no element appears at its original + index. In other words, a derangement is a permutation that has no fixed points. + + Suppose Alice, Bob, Carol, and Dave are playing Secret Santa. + The code below outputs all of the different ways to assign gift recipients + such that nobody is assigned to himself or herself: + + >>> for d in derangements(['Alice', 'Bob', 'Carol', 'Dave']): + ... print(', '.join(d)) + Bob, Alice, Dave, Carol + Bob, Carol, Dave, Alice + Bob, Dave, Alice, Carol + Carol, Alice, Dave, Bob + Carol, Dave, Alice, Bob + Carol, Dave, Bob, Alice + Dave, Alice, Bob, Carol + Dave, Carol, Alice, Bob + Dave, Carol, Bob, Alice + + If *r* is given, only the *r*-length derangements are yielded. + + >>> sorted(derangements(range(3), 2)) + [(1, 0), (1, 2), (2, 0)] + >>> sorted(derangements([0, 2, 3], 2)) + [(2, 0), (2, 3), (3, 0)] + + Elements are treated as unique based on their position, not on their value. + + Consider the Secret Santa example with two *different* people who have + the *same* name. Then there are two valid gift assignments even though + it might appear that a person is assigned to themselves: + + >>> names = ['Alice', 'Bob', 'Bob'] + >>> list(derangements(names)) + [('Bob', 'Bob', 'Alice'), ('Bob', 'Alice', 'Bob')] + + To avoid confusion, make the inputs distinct: + + >>> deduped = [f'{name}{index}' for index, name in enumerate(names)] + >>> list(derangements(deduped)) + [('Bob1', 'Bob2', 'Alice0'), ('Bob2', 'Alice0', 'Bob1')] + + The number of derangements of a set of size *n* is known as the + "subfactorial of n". For n > 0, the subfactorial is: + ``round(math.factorial(n) / math.e)``. + + References: + + * Article: https://www.numberanalytics.com/blog/ultimate-guide-to-derangements-in-combinatorics + * Sizes: https://oeis.org/A000166 + """ + xs = tuple(iterable) + ys = tuple(range(len(xs))) + return compress( + permutations(xs, r=r), + map(all, map(map, repeat(is_not), repeat(ys), permutations(ys, r=r))), + ) + + +def intersperse(e, iterable, n=1): + """Intersperse filler element *e* among the items in *iterable*, leaving + *n* items between each filler element. + + >>> list(intersperse('!', [1, 2, 3, 4, 5])) + [1, '!', 2, '!', 3, '!', 4, '!', 5] + + >>> list(intersperse(None, [1, 2, 3, 4, 5], n=2)) + [1, 2, None, 3, 4, None, 5] + + """ + if n == 0: + raise ValueError('n must be > 0') + elif n == 1: + # interleave(repeat(e), iterable) -> e, x_0, e, x_1, e, x_2... + # islice(..., 1, None) -> x_0, e, x_1, e, x_2... + return islice(interleave(repeat(e), iterable), 1, None) + else: + # interleave(filler, chunks) -> [e], [x_0, x_1], [e], [x_2, x_3]... + # islice(..., 1, None) -> [x_0, x_1], [e], [x_2, x_3]... + # flatten(...) -> x_0, x_1, e, x_2, x_3... + filler = repeat([e]) + chunks = chunked(iterable, n) + return flatten(islice(interleave(filler, chunks), 1, None)) + + +def unique_to_each(*iterables): + """Return the elements from each of the input iterables that aren't in the + other input iterables. + + For example, suppose you have a set of packages, each with a set of + dependencies:: + + {'pkg_1': {'A', 'B'}, 'pkg_2': {'B', 'C'}, 'pkg_3': {'B', 'D'}} + + If you remove one package, which dependencies can also be removed? + + If ``pkg_1`` is removed, then ``A`` is no longer necessary - it is not + associated with ``pkg_2`` or ``pkg_3``. Similarly, ``C`` is only needed for + ``pkg_2``, and ``D`` is only needed for ``pkg_3``:: + + >>> unique_to_each({'A', 'B'}, {'B', 'C'}, {'B', 'D'}) + [['A'], ['C'], ['D']] + + If there are duplicates in one input iterable that aren't in the others + they will be duplicated in the output. Input order is preserved:: + + >>> unique_to_each("mississippi", "missouri") + [['p', 'p'], ['o', 'u', 'r']] + + It is assumed that the elements of each iterable are hashable. + + """ + pool = [list(it) for it in iterables] + counts = Counter(chain.from_iterable(map(set, pool))) + uniques = {element for element in counts if counts[element] == 1} + return [list(filter(uniques.__contains__, it)) for it in pool] + + +def windowed(seq, n, fillvalue=None, step=1): + """Return a sliding window of width *n* over the given iterable. + + >>> all_windows = windowed([1, 2, 3, 4, 5], 3) + >>> list(all_windows) + [(1, 2, 3), (2, 3, 4), (3, 4, 5)] + + When the window is larger than the iterable, *fillvalue* is used in place + of missing values: + + >>> list(windowed([1, 2, 3], 4)) + [(1, 2, 3, None)] + + Each window will advance in increments of *step*: + + >>> list(windowed([1, 2, 3, 4, 5, 6], 3, fillvalue='!', step=2)) + [(1, 2, 3), (3, 4, 5), (5, 6, '!')] + + To slide into the iterable's items, use :func:`chain` to add filler items + to the left: + + >>> iterable = [1, 2, 3, 4] + >>> n = 3 + >>> padding = [None] * (n - 1) + >>> list(windowed(chain(padding, iterable), 3)) + [(None, None, 1), (None, 1, 2), (1, 2, 3), (2, 3, 4)] + """ + if n < 0: + raise ValueError('n must be >= 0') + if n == 0: + yield () + return + if step < 1: + raise ValueError('step must be >= 1') + + iterator = iter(seq) + + # Generate first window + window = deque(islice(iterator, n), maxlen=n) + + # Deal with the first window not being full + if not window: + return + if len(window) < n: + yield tuple(window) + ((fillvalue,) * (n - len(window))) + return + yield tuple(window) + + # Create the filler for the next windows. The padding ensures + # we have just enough elements to fill the last window. + padding = (fillvalue,) * (n - 1 if step >= n else step - 1) + filler = map(window.append, chain(iterator, padding)) + + # Generate the rest of the windows + for _ in islice(filler, step - 1, None, step): + yield tuple(window) + + +def substrings(iterable): + """Yield all of the substrings of *iterable*. + + >>> [''.join(s) for s in substrings('more')] + ['m', 'o', 'r', 'e', 'mo', 'or', 're', 'mor', 'ore', 'more'] + + Note that non-string iterables can also be subdivided. + + >>> list(substrings([0, 1, 2])) + [(0,), (1,), (2,), (0, 1), (1, 2), (0, 1, 2)] + + """ + # The length-1 substrings + seq = [] + for item in iterable: + seq.append(item) + yield (item,) + seq = tuple(seq) + item_count = len(seq) + + # And the rest + for n in range(2, item_count + 1): + for i in range(item_count - n + 1): + yield seq[i : i + n] + + +def substrings_indexes(seq, reverse=False): + """Yield all substrings and their positions in *seq* + + The items yielded will be a tuple of the form ``(substr, i, j)``, where + ``substr == seq[i:j]``. + + This function only works for iterables that support slicing, such as + ``str`` objects. + + >>> for item in substrings_indexes('more'): + ... print(item) + ('m', 0, 1) + ('o', 1, 2) + ('r', 2, 3) + ('e', 3, 4) + ('mo', 0, 2) + ('or', 1, 3) + ('re', 2, 4) + ('mor', 0, 3) + ('ore', 1, 4) + ('more', 0, 4) + + Set *reverse* to ``True`` to yield the same items in the opposite order. + + + """ + r = range(1, len(seq) + 1) + if reverse: + r = reversed(r) + return ( + (seq[i : i + L], i, i + L) for L in r for i in range(len(seq) - L + 1) + ) + + +class bucket: + """Wrap *iterable* and return an object that buckets the iterable into + child iterables based on a *key* function. + + >>> iterable = ['a1', 'b1', 'c1', 'a2', 'b2', 'c2', 'b3'] + >>> s = bucket(iterable, key=lambda x: x[0]) # Bucket by 1st character + >>> sorted(list(s)) # Get the keys + ['a', 'b', 'c'] + >>> a_iterable = s['a'] + >>> next(a_iterable) + 'a1' + >>> next(a_iterable) + 'a2' + >>> list(s['b']) + ['b1', 'b2', 'b3'] + + The original iterable will be advanced and its items will be cached until + they are used by the child iterables. This may require significant storage. + + By default, attempting to select a bucket to which no items belong will + exhaust the iterable and cache all values. + If you specify a *validator* function, selected buckets will instead be + checked against it. + + >>> from itertools import count + >>> it = count(1, 2) # Infinite sequence of odd numbers + >>> key = lambda x: x % 10 # Bucket by last digit + >>> validator = lambda x: x in {1, 3, 5, 7, 9} # Odd digits only + >>> s = bucket(it, key=key, validator=validator) + >>> 2 in s + False + >>> list(s[2]) + [] + + """ + + def __init__(self, iterable, key, validator=None): + self._it = iter(iterable) + self._key = key + self._cache = defaultdict(deque) + self._validator = validator or (lambda x: True) + + def __contains__(self, value): + if not self._validator(value): + return False + + try: + item = next(self[value]) + except StopIteration: + return False + else: + self._cache[value].appendleft(item) + + return True + + def _get_values(self, value): + """ + Helper to yield items from the parent iterator that match *value*. + Items that don't match are stored in the local cache as they + are encountered. + """ + while True: + # If we've cached some items that match the target value, emit + # the first one and evict it from the cache. + if self._cache[value]: + yield self._cache[value].popleft() + # Otherwise we need to advance the parent iterator to search for + # a matching item, caching the rest. + else: + while True: + try: + item = next(self._it) + except StopIteration: + return + item_value = self._key(item) + if item_value == value: + yield item + break + elif self._validator(item_value): + self._cache[item_value].append(item) + + def __iter__(self): + for item in self._it: + item_value = self._key(item) + if self._validator(item_value): + self._cache[item_value].append(item) + + return iter(self._cache) + + def __getitem__(self, value): + if not self._validator(value): + return iter(()) + + return self._get_values(value) + + +def spy(iterable, n=1): + """Return a 2-tuple with a list containing the first *n* elements of + *iterable*, and an iterator with the same items as *iterable*. + This allows you to "look ahead" at the items in the iterable without + advancing it. + + There is one item in the list by default: + + >>> iterable = 'abcdefg' + >>> head, iterable = spy(iterable) + >>> head + ['a'] + >>> list(iterable) + ['a', 'b', 'c', 'd', 'e', 'f', 'g'] + + You may use unpacking to retrieve items instead of lists: + + >>> (head,), iterable = spy('abcdefg') + >>> head + 'a' + >>> (first, second), iterable = spy('abcdefg', 2) + >>> first + 'a' + >>> second + 'b' + + The number of items requested can be larger than the number of items in + the iterable: + + >>> iterable = [1, 2, 3, 4, 5] + >>> head, iterable = spy(iterable, 10) + >>> head + [1, 2, 3, 4, 5] + >>> list(iterable) + [1, 2, 3, 4, 5] + + """ + p, q = tee(iterable) + return take(n, q), p + + +def interleave(*iterables): + """Return a new iterable yielding from each iterable in turn, + until the shortest is exhausted. + + >>> list(interleave([1, 2, 3], [4, 5], [6, 7, 8])) + [1, 4, 6, 2, 5, 7] + + For a version that doesn't terminate after the shortest iterable is + exhausted, see :func:`interleave_longest`. + + """ + return chain.from_iterable(zip(*iterables)) + + +def interleave_longest(*iterables): + """Return a new iterable yielding from each iterable in turn, + skipping any that are exhausted. + + >>> list(interleave_longest([1, 2, 3], [4, 5], [6, 7, 8])) + [1, 4, 6, 2, 5, 7, 3, 8] + + This function produces the same output as :func:`roundrobin`, but may + perform better for some inputs (in particular when the number of iterables + is large). + + """ + for xs in zip_longest(*iterables, fillvalue=_marker): + for x in xs: + if x is not _marker: + yield x + + +def interleave_evenly(iterables, lengths=None): + """ + Interleave multiple iterables so that their elements are evenly distributed + throughout the output sequence. + + >>> iterables = [1, 2, 3, 4, 5], ['a', 'b'] + >>> list(interleave_evenly(iterables)) + [1, 2, 'a', 3, 4, 'b', 5] + + >>> iterables = [[1, 2, 3], [4, 5], [6, 7, 8]] + >>> list(interleave_evenly(iterables)) + [1, 6, 4, 2, 7, 3, 8, 5] + + This function requires iterables of known length. Iterables without + ``__len__()`` can be used by manually specifying lengths with *lengths*: + + >>> from itertools import combinations, repeat + >>> iterables = [combinations(range(4), 2), ['a', 'b', 'c']] + >>> lengths = [4 * (4 - 1) // 2, 3] + >>> list(interleave_evenly(iterables, lengths=lengths)) + [(0, 1), (0, 2), 'a', (0, 3), (1, 2), 'b', (1, 3), (2, 3), 'c'] + + Based on Bresenham's algorithm. + """ + if lengths is None: + try: + lengths = [len(it) for it in iterables] + except TypeError: + raise ValueError( + 'Iterable lengths could not be determined automatically. ' + 'Specify them with the lengths keyword.' + ) + elif len(iterables) != len(lengths): + raise ValueError('Mismatching number of iterables and lengths.') + + dims = len(lengths) + + # sort iterables by length, descending + lengths_permute = sorted( + range(dims), key=lambda i: lengths[i], reverse=True + ) + lengths_desc = [lengths[i] for i in lengths_permute] + iters_desc = [iter(iterables[i]) for i in lengths_permute] + + # the longest iterable is the primary one (Bresenham: the longest + # distance along an axis) + delta_primary, deltas_secondary = lengths_desc[0], lengths_desc[1:] + iter_primary, iters_secondary = iters_desc[0], iters_desc[1:] + errors = [delta_primary // dims] * len(deltas_secondary) + + to_yield = sum(lengths) + while to_yield: + yield next(iter_primary) + to_yield -= 1 + # update errors for each secondary iterable + errors = [e - delta for e, delta in zip(errors, deltas_secondary)] + + # those iterables for which the error is negative are yielded + # ("diagonal step" in Bresenham) + for i, e_ in enumerate(errors): + if e_ < 0: + yield next(iters_secondary[i]) + to_yield -= 1 + errors[i] += delta_primary + + +def interleave_randomly(*iterables): + """Repeatedly select one of the input *iterables* at random and yield the next + item from it. + + >>> iterables = [1, 2, 3], 'abc', (True, False, None) + >>> list(interleave_randomly(*iterables)) # doctest: +SKIP + ['a', 'b', 1, 'c', True, False, None, 2, 3] + + The relative order of the items in each input iterable will preserved. Note the + sequences of items with this property are not equally likely to be generated. + + """ + iterators = [iter(e) for e in iterables] + while iterators: + idx = randrange(len(iterators)) + try: + yield next(iterators[idx]) + except StopIteration: + # equivalent to `list.pop` but slightly faster + iterators[idx] = iterators[-1] + del iterators[-1] + + +def collapse(iterable, base_type=None, levels=None): + """Flatten an iterable with multiple levels of nesting (e.g., a list of + lists of tuples) into non-iterable types. + + >>> iterable = [(1, 2), ([3, 4], [[5], [6]])] + >>> list(collapse(iterable)) + [1, 2, 3, 4, 5, 6] + + Binary and text strings are not considered iterable and + will not be collapsed. + + To avoid collapsing other types, specify *base_type*: + + >>> iterable = ['ab', ('cd', 'ef'), ['gh', 'ij']] + >>> list(collapse(iterable, base_type=tuple)) + ['ab', ('cd', 'ef'), 'gh', 'ij'] + + Specify *levels* to stop flattening after a certain level: + + >>> iterable = [('a', ['b']), ('c', ['d'])] + >>> list(collapse(iterable)) # Fully flattened + ['a', 'b', 'c', 'd'] + >>> list(collapse(iterable, levels=1)) # Only one level flattened + ['a', ['b'], 'c', ['d']] + + """ + stack = deque() + # Add our first node group, treat the iterable as a single node + stack.appendleft((0, repeat(iterable, 1))) + + while stack: + node_group = stack.popleft() + level, nodes = node_group + + # Check if beyond max level + if levels is not None and level > levels: + yield from nodes + continue + + for node in nodes: + # Check if done iterating + if isinstance(node, (str, bytes)) or ( + (base_type is not None) and isinstance(node, base_type) + ): + yield node + # Otherwise try to create child nodes + else: + try: + tree = iter(node) + except TypeError: + yield node + else: + # Save our current location + stack.appendleft(node_group) + # Append the new child node + stack.appendleft((level + 1, tree)) + # Break to process child node + break + + +def side_effect(func, iterable, chunk_size=None, before=None, after=None): + """Invoke *func* on each item in *iterable* (or on each *chunk_size* group + of items) before yielding the item. + + `func` must be a function that takes a single argument. Its return value + will be discarded. + + *before* and *after* are optional functions that take no arguments. They + will be executed before iteration starts and after it ends, respectively. + + `side_effect` can be used for logging, updating progress bars, or anything + that is not functionally "pure." + + Emitting a status message: + + >>> from more_itertools import consume + >>> func = lambda item: print('Received {}'.format(item)) + >>> consume(side_effect(func, range(2))) + Received 0 + Received 1 + + Operating on chunks of items: + + >>> pair_sums = [] + >>> func = lambda chunk: pair_sums.append(sum(chunk)) + >>> list(side_effect(func, [0, 1, 2, 3, 4, 5], 2)) + [0, 1, 2, 3, 4, 5] + >>> list(pair_sums) + [1, 5, 9] + + Writing to a file-like object: + + >>> from io import StringIO + >>> from more_itertools import consume + >>> f = StringIO() + >>> func = lambda x: print(x, file=f) + >>> before = lambda: print(u'HEADER', file=f) + >>> after = f.close + >>> it = [u'a', u'b', u'c'] + >>> consume(side_effect(func, it, before=before, after=after)) + >>> f.closed + True + + """ + try: + if before is not None: + before() + + if chunk_size is None: + for item in iterable: + func(item) + yield item + else: + for chunk in chunked(iterable, chunk_size): + func(chunk) + yield from chunk + finally: + if after is not None: + after() + + +def sliced(seq, n, strict=False): + """Yield slices of length *n* from the sequence *seq*. + + >>> list(sliced((1, 2, 3, 4, 5, 6), 3)) + [(1, 2, 3), (4, 5, 6)] + + By the default, the last yielded slice will have fewer than *n* elements + if the length of *seq* is not divisible by *n*: + + >>> list(sliced((1, 2, 3, 4, 5, 6, 7, 8), 3)) + [(1, 2, 3), (4, 5, 6), (7, 8)] + + If the length of *seq* is not divisible by *n* and *strict* is + ``True``, then ``ValueError`` will be raised before the last + slice is yielded. + + This function will only work for iterables that support slicing. + For non-sliceable iterables, see :func:`chunked`. + + """ + iterator = takewhile(len, (seq[i : i + n] for i in count(0, n))) + if strict: + + def ret(): + for _slice in iterator: + if len(_slice) != n: + raise ValueError("seq is not divisible by n.") + yield _slice + + return ret() + else: + return iterator + + +def split_at(iterable, pred, maxsplit=-1, keep_separator=False): + """Yield lists of items from *iterable*, where each list is delimited by + an item where callable *pred* returns ``True``. + + >>> list(split_at('abcdcba', lambda x: x == 'b')) + [['a'], ['c', 'd', 'c'], ['a']] + + >>> list(split_at(range(10), lambda n: n % 2 == 1)) + [[0], [2], [4], [6], [8], []] + + At most *maxsplit* splits are done. If *maxsplit* is not specified or -1, + then there is no limit on the number of splits: + + >>> list(split_at(range(10), lambda n: n % 2 == 1, maxsplit=2)) + [[0], [2], [4, 5, 6, 7, 8, 9]] + + By default, the delimiting items are not included in the output. + To include them, set *keep_separator* to ``True``. + + >>> list(split_at('abcdcba', lambda x: x == 'b', keep_separator=True)) + [['a'], ['b'], ['c', 'd', 'c'], ['b'], ['a']] + + """ + if maxsplit == 0: + yield list(iterable) + return + + buf = [] + it = iter(iterable) + for item in it: + if pred(item): + yield buf + if keep_separator: + yield [item] + if maxsplit == 1: + yield list(it) + return + buf = [] + maxsplit -= 1 + else: + buf.append(item) + yield buf + + +def split_before(iterable, pred, maxsplit=-1): + """Yield lists of items from *iterable*, where each list ends just before + an item for which callable *pred* returns ``True``: + + >>> list(split_before('OneTwo', lambda s: s.isupper())) + [['O', 'n', 'e'], ['T', 'w', 'o']] + + >>> list(split_before(range(10), lambda n: n % 3 == 0)) + [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]] + + At most *maxsplit* splits are done. If *maxsplit* is not specified or -1, + then there is no limit on the number of splits: + + >>> list(split_before(range(10), lambda n: n % 3 == 0, maxsplit=2)) + [[0, 1, 2], [3, 4, 5], [6, 7, 8, 9]] + """ + if maxsplit == 0: + yield list(iterable) + return + + buf = [] + it = iter(iterable) + for item in it: + if pred(item) and buf: + yield buf + if maxsplit == 1: + yield [item, *it] + return + buf = [] + maxsplit -= 1 + buf.append(item) + if buf: + yield buf + + +def split_after(iterable, pred, maxsplit=-1): + """Yield lists of items from *iterable*, where each list ends with an + item where callable *pred* returns ``True``: + + >>> list(split_after('one1two2', lambda s: s.isdigit())) + [['o', 'n', 'e', '1'], ['t', 'w', 'o', '2']] + + >>> list(split_after(range(10), lambda n: n % 3 == 0)) + [[0], [1, 2, 3], [4, 5, 6], [7, 8, 9]] + + At most *maxsplit* splits are done. If *maxsplit* is not specified or -1, + then there is no limit on the number of splits: + + >>> list(split_after(range(10), lambda n: n % 3 == 0, maxsplit=2)) + [[0], [1, 2, 3], [4, 5, 6, 7, 8, 9]] + + """ + if maxsplit == 0: + yield list(iterable) + return + + buf = [] + it = iter(iterable) + for item in it: + buf.append(item) + if pred(item) and buf: + yield buf + if maxsplit == 1: + buf = list(it) + if buf: + yield buf + return + buf = [] + maxsplit -= 1 + if buf: + yield buf + + +def split_when(iterable, pred, maxsplit=-1): + """Split *iterable* into pieces based on the output of *pred*. + *pred* should be a function that takes successive pairs of items and + returns ``True`` if the iterable should be split in between them. + + For example, to find runs of increasing numbers, split the iterable when + element ``i`` is larger than element ``i + 1``: + + >>> list(split_when([1, 2, 3, 3, 2, 5, 2, 4, 2], lambda x, y: x > y)) + [[1, 2, 3, 3], [2, 5], [2, 4], [2]] + + At most *maxsplit* splits are done. If *maxsplit* is not specified or -1, + then there is no limit on the number of splits: + + >>> list(split_when([1, 2, 3, 3, 2, 5, 2, 4, 2], + ... lambda x, y: x > y, maxsplit=2)) + [[1, 2, 3, 3], [2, 5], [2, 4, 2]] + + """ + if maxsplit == 0: + yield list(iterable) + return + + it = iter(iterable) + try: + cur_item = next(it) + except StopIteration: + return + + buf = [cur_item] + for next_item in it: + if pred(cur_item, next_item): + yield buf + if maxsplit == 1: + yield [next_item, *it] + return + buf = [] + maxsplit -= 1 + + buf.append(next_item) + cur_item = next_item + + yield buf + + +def split_into(iterable, sizes): + """Yield a list of sequential items from *iterable* of length 'n' for each + integer 'n' in *sizes*. + + >>> list(split_into([1,2,3,4,5,6], [1,2,3])) + [[1], [2, 3], [4, 5, 6]] + + If the sum of *sizes* is smaller than the length of *iterable*, then the + remaining items of *iterable* will not be returned. + + >>> list(split_into([1,2,3,4,5,6], [2,3])) + [[1, 2], [3, 4, 5]] + + If the sum of *sizes* is larger than the length of *iterable*, fewer items + will be returned in the iteration that overruns the *iterable* and further + lists will be empty: + + >>> list(split_into([1,2,3,4], [1,2,3,4])) + [[1], [2, 3], [4], []] + + When a ``None`` object is encountered in *sizes*, the returned list will + contain items up to the end of *iterable* the same way that + :func:`itertools.slice` does: + + >>> list(split_into([1,2,3,4,5,6,7,8,9,0], [2,3,None])) + [[1, 2], [3, 4, 5], [6, 7, 8, 9, 0]] + + :func:`split_into` can be useful for grouping a series of items where the + sizes of the groups are not uniform. An example would be where in a row + from a table, multiple columns represent elements of the same feature + (e.g. a point represented by x,y,z) but, the format is not the same for + all columns. + """ + # convert the iterable argument into an iterator so its contents can + # be consumed by islice in case it is a generator + it = iter(iterable) + + for size in sizes: + if size is None: + yield list(it) + return + else: + yield list(islice(it, size)) + + +def padded(iterable, fillvalue=None, n=None, next_multiple=False): + """Yield the elements from *iterable*, followed by *fillvalue*, such that + at least *n* items are emitted. + + >>> list(padded([1, 2, 3], '?', 5)) + [1, 2, 3, '?', '?'] + + If *next_multiple* is ``True``, *fillvalue* will be emitted until the + number of items emitted is a multiple of *n*: + + >>> list(padded([1, 2, 3, 4], n=3, next_multiple=True)) + [1, 2, 3, 4, None, None] + + If *n* is ``None``, *fillvalue* will be emitted indefinitely. + + To create an *iterable* of exactly size *n*, you can truncate with + :func:`islice`. + + >>> list(islice(padded([1, 2, 3], '?'), 5)) + [1, 2, 3, '?', '?'] + >>> list(islice(padded([1, 2, 3, 4, 5, 6, 7, 8], '?'), 5)) + [1, 2, 3, 4, 5] + + """ + iterator = iter(iterable) + iterator_with_repeat = chain(iterator, repeat(fillvalue)) + + if n is None: + return iterator_with_repeat + elif n < 1: + raise ValueError('n must be at least 1') + elif next_multiple: + + def slice_generator(): + for first in iterator: + yield (first,) + yield islice(iterator_with_repeat, n - 1) + + # While elements exist produce slices of size n + return chain.from_iterable(slice_generator()) + else: + # Ensure the first batch is at least size n then iterate + return chain(islice(iterator_with_repeat, n), iterator) + + +def repeat_each(iterable, n=2): + """Repeat each element in *iterable* *n* times. + + >>> list(repeat_each('ABC', 3)) + ['A', 'A', 'A', 'B', 'B', 'B', 'C', 'C', 'C'] + """ + return chain.from_iterable(map(repeat, iterable, repeat(n))) + + +def repeat_last(iterable, default=None): + """After the *iterable* is exhausted, keep yielding its last element. + + >>> list(islice(repeat_last(range(3)), 5)) + [0, 1, 2, 2, 2] + + If the iterable is empty, yield *default* forever:: + + >>> list(islice(repeat_last(range(0), 42), 5)) + [42, 42, 42, 42, 42] + + """ + item = _marker + for item in iterable: + yield item + final = default if item is _marker else item + yield from repeat(final) + + +def distribute(n, iterable): + """Distribute the items from *iterable* among *n* smaller iterables. + + >>> group_1, group_2 = distribute(2, [1, 2, 3, 4, 5, 6]) + >>> list(group_1) + [1, 3, 5] + >>> list(group_2) + [2, 4, 6] + + If the length of *iterable* is not evenly divisible by *n*, then the + length of the returned iterables will not be identical: + + >>> children = distribute(3, [1, 2, 3, 4, 5, 6, 7]) + >>> [list(c) for c in children] + [[1, 4, 7], [2, 5], [3, 6]] + + If the length of *iterable* is smaller than *n*, then the last returned + iterables will be empty: + + >>> children = distribute(5, [1, 2, 3]) + >>> [list(c) for c in children] + [[1], [2], [3], [], []] + + This function uses :func:`itertools.tee` and may require significant + storage. + + If you need the order items in the smaller iterables to match the + original iterable, see :func:`divide`. + + """ + if n < 1: + raise ValueError('n must be at least 1') + + children = tee(iterable, n) + return [islice(it, index, None, n) for index, it in enumerate(children)] + + +def stagger(iterable, offsets=(-1, 0, 1), longest=False, fillvalue=None): + """Yield tuples whose elements are offset from *iterable*. + The amount by which the `i`-th item in each tuple is offset is given by + the `i`-th item in *offsets*. + + >>> list(stagger([0, 1, 2, 3])) + [(None, 0, 1), (0, 1, 2), (1, 2, 3)] + >>> list(stagger(range(8), offsets=(0, 2, 4))) + [(0, 2, 4), (1, 3, 5), (2, 4, 6), (3, 5, 7)] + + By default, the sequence will end when the final element of a tuple is the + last item in the iterable. To continue until the first element of a tuple + is the last item in the iterable, set *longest* to ``True``:: + + >>> list(stagger([0, 1, 2, 3], longest=True)) + [(None, 0, 1), (0, 1, 2), (1, 2, 3), (2, 3, None), (3, None, None)] + + By default, ``None`` will be used to replace offsets beyond the end of the + sequence. Specify *fillvalue* to use some other value. + + """ + children = tee(iterable, len(offsets)) + + return zip_offset( + *children, offsets=offsets, longest=longest, fillvalue=fillvalue + ) + + +def zip_equal(*iterables): + """``zip`` the input *iterables* together but raise + ``UnequalIterablesError`` if they aren't all the same length. + + >>> it_1 = range(3) + >>> it_2 = iter('abc') + >>> list(zip_equal(it_1, it_2)) + [(0, 'a'), (1, 'b'), (2, 'c')] + + >>> it_1 = range(3) + >>> it_2 = iter('abcd') + >>> list(zip_equal(it_1, it_2)) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + more_itertools.more.UnequalIterablesError: Iterables have different + lengths + + """ + if hexversion >= 0x30A00A6: + warnings.warn( + ( + 'zip_equal will be removed in a future version of ' + 'more-itertools. Use the builtin zip function with ' + 'strict=True instead.' + ), + DeprecationWarning, + ) + + return _zip_equal(*iterables) + + +def zip_offset(*iterables, offsets, longest=False, fillvalue=None): + """``zip`` the input *iterables* together, but offset the `i`-th iterable + by the `i`-th item in *offsets*. + + >>> list(zip_offset('0123', 'abcdef', offsets=(0, 1))) + [('0', 'b'), ('1', 'c'), ('2', 'd'), ('3', 'e')] + + This can be used as a lightweight alternative to SciPy or pandas to analyze + data sets in which some series have a lead or lag relationship. + + By default, the sequence will end when the shortest iterable is exhausted. + To continue until the longest iterable is exhausted, set *longest* to + ``True``. + + >>> list(zip_offset('0123', 'abcdef', offsets=(0, 1), longest=True)) + [('0', 'b'), ('1', 'c'), ('2', 'd'), ('3', 'e'), (None, 'f')] + + By default, ``None`` will be used to replace offsets beyond the end of the + sequence. Specify *fillvalue* to use some other value. + + """ + if len(iterables) != len(offsets): + raise ValueError("Number of iterables and offsets didn't match") + + staggered = [] + for it, n in zip(iterables, offsets): + if n < 0: + staggered.append(chain(repeat(fillvalue, -n), it)) + elif n > 0: + staggered.append(islice(it, n, None)) + else: + staggered.append(it) + + if longest: + return zip_longest(*staggered, fillvalue=fillvalue) + + return zip(*staggered) + + +def sort_together( + iterables, key_list=(0,), key=None, reverse=False, strict=False +): + """Return the input iterables sorted together, with *key_list* as the + priority for sorting. All iterables are trimmed to the length of the + shortest one. + + This can be used like the sorting function in a spreadsheet. If each + iterable represents a column of data, the key list determines which + columns are used for sorting. + + By default, all iterables are sorted using the ``0``-th iterable:: + + >>> iterables = [(4, 3, 2, 1), ('a', 'b', 'c', 'd')] + >>> sort_together(iterables) + [(1, 2, 3, 4), ('d', 'c', 'b', 'a')] + + Set a different key list to sort according to another iterable. + Specifying multiple keys dictates how ties are broken:: + + >>> iterables = [(3, 1, 2), (0, 1, 0), ('c', 'b', 'a')] + >>> sort_together(iterables, key_list=(1, 2)) + [(2, 3, 1), (0, 0, 1), ('a', 'c', 'b')] + + To sort by a function of the elements of the iterable, pass a *key* + function. Its arguments are the elements of the iterables corresponding to + the key list:: + + >>> names = ('a', 'b', 'c') + >>> lengths = (1, 2, 3) + >>> widths = (5, 2, 1) + >>> def area(length, width): + ... return length * width + >>> sort_together([names, lengths, widths], key_list=(1, 2), key=area) + [('c', 'b', 'a'), (3, 2, 1), (1, 2, 5)] + + Set *reverse* to ``True`` to sort in descending order. + + >>> sort_together([(1, 2, 3), ('c', 'b', 'a')], reverse=True) + [(3, 2, 1), ('a', 'b', 'c')] + + If the *strict* keyword argument is ``True``, then + ``UnequalIterablesError`` will be raised if any of the iterables have + different lengths. + + """ + if key is None: + # if there is no key function, the key argument to sorted is an + # itemgetter + key_argument = itemgetter(*key_list) + else: + # if there is a key function, call it with the items at the offsets + # specified by the key function as arguments + key_list = list(key_list) + if len(key_list) == 1: + # if key_list contains a single item, pass the item at that offset + # as the only argument to the key function + key_offset = key_list[0] + key_argument = lambda zipped_items: key(zipped_items[key_offset]) + else: + # if key_list contains multiple items, use itemgetter to return a + # tuple of items, which we pass as *args to the key function + get_key_items = itemgetter(*key_list) + key_argument = lambda zipped_items: key( + *get_key_items(zipped_items) + ) + + zipper = zip_equal if strict else zip + return list( + zipper(*sorted(zipper(*iterables), key=key_argument, reverse=reverse)) + ) + + +def unzip(iterable): + """The inverse of :func:`zip`, this function disaggregates the elements + of the zipped *iterable*. + + The ``i``-th iterable contains the ``i``-th element from each element + of the zipped iterable. The first element is used to determine the + length of the remaining elements. + + >>> iterable = [('a', 1), ('b', 2), ('c', 3), ('d', 4)] + >>> letters, numbers = unzip(iterable) + >>> list(letters) + ['a', 'b', 'c', 'd'] + >>> list(numbers) + [1, 2, 3, 4] + + This is similar to using ``zip(*iterable)``, but it avoids reading + *iterable* into memory. Note, however, that this function uses + :func:`itertools.tee` and thus may require significant storage. + + """ + head, iterable = spy(iterable) + if not head: + # empty iterable, e.g. zip([], [], []) + return () + # spy returns a one-length iterable as head + head = head[0] + iterables = tee(iterable, len(head)) + + # If we have an iterable like iter([(1, 2, 3), (4, 5), (6,)]), + # the second unzipped iterable fails at the third tuple since + # it tries to access (6,)[1]. + # Same with the third unzipped iterable and the second tuple. + # To support these "improperly zipped" iterables, we suppress + # the IndexError, which just stops the unzipped iterables at + # first length mismatch. + return tuple( + iter_suppress(map(itemgetter(i), it), IndexError) + for i, it in enumerate(iterables) + ) + + +def divide(n, iterable): + """Divide the elements from *iterable* into *n* parts, maintaining + order. + + >>> group_1, group_2 = divide(2, [1, 2, 3, 4, 5, 6]) + >>> list(group_1) + [1, 2, 3] + >>> list(group_2) + [4, 5, 6] + + If the length of *iterable* is not evenly divisible by *n*, then the + length of the returned iterables will not be identical: + + >>> children = divide(3, [1, 2, 3, 4, 5, 6, 7]) + >>> [list(c) for c in children] + [[1, 2, 3], [4, 5], [6, 7]] + + If the length of the iterable is smaller than n, then the last returned + iterables will be empty: + + >>> children = divide(5, [1, 2, 3]) + >>> [list(c) for c in children] + [[1], [2], [3], [], []] + + This function will exhaust the iterable before returning. + If order is not important, see :func:`distribute`, which does not first + pull the iterable into memory. + + """ + if n < 1: + raise ValueError('n must be at least 1') + + try: + iterable[:0] + except TypeError: + seq = tuple(iterable) + else: + seq = iterable + + q, r = divmod(len(seq), n) + + ret = [] + stop = 0 + for i in range(1, n + 1): + start = stop + stop += q + 1 if i <= r else q + ret.append(iter(seq[start:stop])) + + return ret + + +def always_iterable(obj, base_type=(str, bytes)): + """If *obj* is iterable, return an iterator over its items:: + + >>> obj = (1, 2, 3) + >>> list(always_iterable(obj)) + [1, 2, 3] + + If *obj* is not iterable, return a one-item iterable containing *obj*:: + + >>> obj = 1 + >>> list(always_iterable(obj)) + [1] + + If *obj* is ``None``, return an empty iterable: + + >>> obj = None + >>> list(always_iterable(None)) + [] + + By default, binary and text strings are not considered iterable:: + + >>> obj = 'foo' + >>> list(always_iterable(obj)) + ['foo'] + + If *base_type* is set, objects for which ``isinstance(obj, base_type)`` + returns ``True`` won't be considered iterable. + + >>> obj = {'a': 1} + >>> list(always_iterable(obj)) # Iterate over the dict's keys + ['a'] + >>> list(always_iterable(obj, base_type=dict)) # Treat dicts as a unit + [{'a': 1}] + + Set *base_type* to ``None`` to avoid any special handling and treat objects + Python considers iterable as iterable: + + >>> obj = 'foo' + >>> list(always_iterable(obj, base_type=None)) + ['f', 'o', 'o'] + """ + if obj is None: + return iter(()) + + if (base_type is not None) and isinstance(obj, base_type): + return iter((obj,)) + + try: + return iter(obj) + except TypeError: + return iter((obj,)) + + +def adjacent(predicate, iterable, distance=1): + """Return an iterable over `(bool, item)` tuples where the `item` is + drawn from *iterable* and the `bool` indicates whether + that item satisfies the *predicate* or is adjacent to an item that does. + + For example, to find whether items are adjacent to a ``3``:: + + >>> list(adjacent(lambda x: x == 3, range(6))) + [(False, 0), (False, 1), (True, 2), (True, 3), (True, 4), (False, 5)] + + Set *distance* to change what counts as adjacent. For example, to find + whether items are two places away from a ``3``: + + >>> list(adjacent(lambda x: x == 3, range(6), distance=2)) + [(False, 0), (True, 1), (True, 2), (True, 3), (True, 4), (True, 5)] + + This is useful for contextualizing the results of a search function. + For example, a code comparison tool might want to identify lines that + have changed, but also surrounding lines to give the viewer of the diff + context. + + The predicate function will only be called once for each item in the + iterable. + + See also :func:`groupby_transform`, which can be used with this function + to group ranges of items with the same `bool` value. + + """ + # Allow distance=0 mainly for testing that it reproduces results with map() + if distance < 0: + raise ValueError('distance must be at least 0') + + i1, i2 = tee(iterable) + padding = [False] * distance + selected = chain(padding, map(predicate, i1), padding) + adjacent_to_selected = map(any, windowed(selected, 2 * distance + 1)) + return zip(adjacent_to_selected, i2) + + +def groupby_transform(iterable, keyfunc=None, valuefunc=None, reducefunc=None): + """An extension of :func:`itertools.groupby` that can apply transformations + to the grouped data. + + * *keyfunc* is a function computing a key value for each item in *iterable* + * *valuefunc* is a function that transforms the individual items from + *iterable* after grouping + * *reducefunc* is a function that transforms each group of items + + >>> iterable = 'aAAbBBcCC' + >>> keyfunc = lambda k: k.upper() + >>> valuefunc = lambda v: v.lower() + >>> reducefunc = lambda g: ''.join(g) + >>> list(groupby_transform(iterable, keyfunc, valuefunc, reducefunc)) + [('A', 'aaa'), ('B', 'bbb'), ('C', 'ccc')] + + Each optional argument defaults to an identity function if not specified. + + :func:`groupby_transform` is useful when grouping elements of an iterable + using a separate iterable as the key. To do this, :func:`zip` the iterables + and pass a *keyfunc* that extracts the first element and a *valuefunc* + that extracts the second element:: + + >>> from operator import itemgetter + >>> keys = [0, 0, 1, 1, 1, 2, 2, 2, 3] + >>> values = 'abcdefghi' + >>> iterable = zip(keys, values) + >>> grouper = groupby_transform(iterable, itemgetter(0), itemgetter(1)) + >>> [(k, ''.join(g)) for k, g in grouper] + [(0, 'ab'), (1, 'cde'), (2, 'fgh'), (3, 'i')] + + Note that the order of items in the iterable is significant. + Only adjacent items are grouped together, so if you don't want any + duplicate groups, you should sort the iterable by the key function. + + """ + ret = groupby(iterable, keyfunc) + if valuefunc: + ret = ((k, map(valuefunc, g)) for k, g in ret) + if reducefunc: + ret = ((k, reducefunc(g)) for k, g in ret) + + return ret + + +class numeric_range(abc.Sequence, abc.Hashable): + """An extension of the built-in ``range()`` function whose arguments can + be any orderable numeric type. + + With only *stop* specified, *start* defaults to ``0`` and *step* + defaults to ``1``. The output items will match the type of *stop*: + + >>> list(numeric_range(3.5)) + [0.0, 1.0, 2.0, 3.0] + + With only *start* and *stop* specified, *step* defaults to ``1``. The + output items will match the type of *start*: + + >>> from decimal import Decimal + >>> start = Decimal('2.1') + >>> stop = Decimal('5.1') + >>> list(numeric_range(start, stop)) + [Decimal('2.1'), Decimal('3.1'), Decimal('4.1')] + + With *start*, *stop*, and *step* specified the output items will match + the type of ``start + step``: + + >>> from fractions import Fraction + >>> start = Fraction(1, 2) # Start at 1/2 + >>> stop = Fraction(5, 2) # End at 5/2 + >>> step = Fraction(1, 2) # Count by 1/2 + >>> list(numeric_range(start, stop, step)) + [Fraction(1, 2), Fraction(1, 1), Fraction(3, 2), Fraction(2, 1)] + + If *step* is zero, ``ValueError`` is raised. Negative steps are supported: + + >>> list(numeric_range(3, -1, -1.0)) + [3.0, 2.0, 1.0, 0.0] + + Be aware of the limitations of floating-point numbers; the representation + of the yielded numbers may be surprising. + + ``datetime.datetime`` objects can be used for *start* and *stop*, if *step* + is a ``datetime.timedelta`` object: + + >>> import datetime + >>> start = datetime.datetime(2019, 1, 1) + >>> stop = datetime.datetime(2019, 1, 3) + >>> step = datetime.timedelta(days=1) + >>> items = iter(numeric_range(start, stop, step)) + >>> next(items) + datetime.datetime(2019, 1, 1, 0, 0) + >>> next(items) + datetime.datetime(2019, 1, 2, 0, 0) + + """ + + _EMPTY_HASH = hash(range(0, 0)) + + def __init__(self, *args): + argc = len(args) + if argc == 1: + (self._stop,) = args + self._start = type(self._stop)(0) + self._step = type(self._stop - self._start)(1) + elif argc == 2: + self._start, self._stop = args + self._step = type(self._stop - self._start)(1) + elif argc == 3: + self._start, self._stop, self._step = args + elif argc == 0: + raise TypeError( + f'numeric_range expected at least 1 argument, got {argc}' + ) + else: + raise TypeError( + f'numeric_range expected at most 3 arguments, got {argc}' + ) + + self._zero = type(self._step)(0) + if self._step == self._zero: + raise ValueError('numeric_range() arg 3 must not be zero') + self._growing = self._step > self._zero + + def __bool__(self): + if self._growing: + return self._start < self._stop + else: + return self._start > self._stop + + def __contains__(self, elem): + if self._growing: + if self._start <= elem < self._stop: + return (elem - self._start) % self._step == self._zero + else: + if self._start >= elem > self._stop: + return (self._start - elem) % (-self._step) == self._zero + + return False + + def __eq__(self, other): + if isinstance(other, numeric_range): + empty_self = not bool(self) + empty_other = not bool(other) + if empty_self or empty_other: + return empty_self and empty_other # True if both empty + else: + return ( + self._start == other._start + and self._step == other._step + and self._get_by_index(-1) == other._get_by_index(-1) + ) + else: + return False + + def __getitem__(self, key): + if isinstance(key, int): + return self._get_by_index(key) + elif isinstance(key, slice): + step = self._step if key.step is None else key.step * self._step + + if key.start is None or key.start <= -self._len: + start = self._start + elif key.start >= self._len: + start = self._stop + else: # -self._len < key.start < self._len + start = self._get_by_index(key.start) + + if key.stop is None or key.stop >= self._len: + stop = self._stop + elif key.stop <= -self._len: + stop = self._start + else: # -self._len < key.stop < self._len + stop = self._get_by_index(key.stop) + + return numeric_range(start, stop, step) + else: + raise TypeError( + 'numeric range indices must be ' + f'integers or slices, not {type(key).__name__}' + ) + + def __hash__(self): + if self: + return hash((self._start, self._get_by_index(-1), self._step)) + else: + return self._EMPTY_HASH + + def __iter__(self): + values = (self._start + (n * self._step) for n in count()) + if self._growing: + return takewhile(partial(gt, self._stop), values) + else: + return takewhile(partial(lt, self._stop), values) + + def __len__(self): + return self._len + + @cached_property + def _len(self): + if self._growing: + start = self._start + stop = self._stop + step = self._step + else: + start = self._stop + stop = self._start + step = -self._step + distance = stop - start + if distance <= self._zero: + return 0 + else: # distance > 0 and step > 0: regular euclidean division + q, r = divmod(distance, step) + return int(q) + int(r != self._zero) + + def __reduce__(self): + return numeric_range, (self._start, self._stop, self._step) + + def __repr__(self): + if self._step == 1: + return f"numeric_range({self._start!r}, {self._stop!r})" + return ( + f"numeric_range({self._start!r}, {self._stop!r}, {self._step!r})" + ) + + def __reversed__(self): + return iter( + numeric_range( + self._get_by_index(-1), self._start - self._step, -self._step + ) + ) + + def count(self, value): + return int(value in self) + + def index(self, value): + if self._growing: + if self._start <= value < self._stop: + q, r = divmod(value - self._start, self._step) + if r == self._zero: + return int(q) + else: + if self._start >= value > self._stop: + q, r = divmod(self._start - value, -self._step) + if r == self._zero: + return int(q) + + raise ValueError(f"{value} is not in numeric range") + + def _get_by_index(self, i): + if i < 0: + i += self._len + if i < 0 or i >= self._len: + raise IndexError("numeric range object index out of range") + return self._start + i * self._step + + +def count_cycle(iterable, n=None): + """Cycle through the items from *iterable* up to *n* times, yielding + the number of completed cycles along with each item. If *n* is omitted the + process repeats indefinitely. + + >>> list(count_cycle('AB', 3)) + [(0, 'A'), (0, 'B'), (1, 'A'), (1, 'B'), (2, 'A'), (2, 'B')] + + """ + seq = tuple(iterable) + if not seq: + return iter(()) + counter = count() if n is None else range(n) + return zip(repeat_each(counter, len(seq)), cycle(seq)) + + +def mark_ends(iterable): + """Yield 3-tuples of the form ``(is_first, is_last, item)``. + + >>> list(mark_ends('ABC')) + [(True, False, 'A'), (False, False, 'B'), (False, True, 'C')] + + Use this when looping over an iterable to take special action on its first + and/or last items: + + >>> iterable = ['Header', 100, 200, 'Footer'] + >>> total = 0 + >>> for is_first, is_last, item in mark_ends(iterable): + ... if is_first: + ... continue # Skip the header + ... if is_last: + ... continue # Skip the footer + ... total += item + >>> print(total) + 300 + """ + it = iter(iterable) + for a in it: + first = True + for b in it: + yield first, False, a + a = b + first = False + yield first, True, a + + +def locate(iterable, pred=bool, window_size=None): + """Yield the index of each item in *iterable* for which *pred* returns + ``True``. + + *pred* defaults to :func:`bool`, which will select truthy items: + + >>> list(locate([0, 1, 1, 0, 1, 0, 0])) + [1, 2, 4] + + Set *pred* to a custom function to, e.g., find the indexes for a particular + item. + + >>> list(locate(['a', 'b', 'c', 'b'], lambda x: x == 'b')) + [1, 3] + + If *window_size* is given, then the *pred* function will be called with + that many items. This enables searching for sub-sequences: + + >>> iterable = [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3] + >>> pred = lambda *args: args == (1, 2, 3) + >>> list(locate(iterable, pred=pred, window_size=3)) + [1, 5, 9] + + Use with :func:`seekable` to find indexes and then retrieve the associated + items: + + >>> from itertools import count + >>> from more_itertools import seekable + >>> source = (3 * n + 1 if (n % 2) else n // 2 for n in count()) + >>> it = seekable(source) + >>> pred = lambda x: x > 100 + >>> indexes = locate(it, pred=pred) + >>> i = next(indexes) + >>> it.seek(i) + >>> next(it) + 106 + + """ + if window_size is None: + return compress(count(), map(pred, iterable)) + + if window_size < 1: + raise ValueError('window size must be at least 1') + + it = windowed(iterable, window_size, fillvalue=_marker) + return compress(count(), starmap(pred, it)) + + +def longest_common_prefix(iterables): + """Yield elements of the longest common prefix among given *iterables*. + + >>> ''.join(longest_common_prefix(['abcd', 'abc', 'abf'])) + 'ab' + + """ + return (c[0] for c in takewhile(all_equal, zip(*iterables))) + + +def lstrip(iterable, pred): + """Yield the items from *iterable*, but strip any from the beginning + for which *pred* returns ``True``. + + For example, to remove a set of items from the start of an iterable: + + >>> iterable = (None, False, None, 1, 2, None, 3, False, None) + >>> pred = lambda x: x in {None, False, ''} + >>> list(lstrip(iterable, pred)) + [1, 2, None, 3, False, None] + + This function is analogous to to :func:`str.lstrip`, and is essentially + an wrapper for :func:`itertools.dropwhile`. + + """ + return dropwhile(pred, iterable) + + +def rstrip(iterable, pred): + """Yield the items from *iterable*, but strip any from the end + for which *pred* returns ``True``. + + For example, to remove a set of items from the end of an iterable: + + >>> iterable = (None, False, None, 1, 2, None, 3, False, None) + >>> pred = lambda x: x in {None, False, ''} + >>> list(rstrip(iterable, pred)) + [None, False, None, 1, 2, None, 3] + + This function is analogous to :func:`str.rstrip`. + + """ + cache = [] + cache_append = cache.append + cache_clear = cache.clear + for x in iterable: + if pred(x): + cache_append(x) + else: + yield from cache + cache_clear() + yield x + + +def strip(iterable, pred): + """Yield the items from *iterable*, but strip any from the + beginning and end for which *pred* returns ``True``. + + For example, to remove a set of items from both ends of an iterable: + + >>> iterable = (None, False, None, 1, 2, None, 3, False, None) + >>> pred = lambda x: x in {None, False, ''} + >>> list(strip(iterable, pred)) + [1, 2, None, 3] + + This function is analogous to :func:`str.strip`. + + """ + return rstrip(lstrip(iterable, pred), pred) + + +class islice_extended: + """An extension of :func:`itertools.islice` that supports negative values + for *stop*, *start*, and *step*. + + >>> iterator = iter('abcdefgh') + >>> list(islice_extended(iterator, -4, -1)) + ['e', 'f', 'g'] + + Slices with negative values require some caching of *iterable*, but this + function takes care to minimize the amount of memory required. + + For example, you can use a negative step with an infinite iterator: + + >>> from itertools import count + >>> list(islice_extended(count(), 110, 99, -2)) + [110, 108, 106, 104, 102, 100] + + You can also use slice notation directly: + + >>> iterator = map(str, count()) + >>> it = islice_extended(iterator)[10:20:2] + >>> list(it) + ['10', '12', '14', '16', '18'] + + """ + + def __init__(self, iterable, *args): + it = iter(iterable) + if args: + self._iterator = _islice_helper(it, slice(*args)) + else: + self._iterator = it + + def __iter__(self): + return self + + def __next__(self): + return next(self._iterator) + + def __getitem__(self, key): + if isinstance(key, slice): + return islice_extended(_islice_helper(self._iterator, key)) + + raise TypeError('islice_extended.__getitem__ argument must be a slice') + + +def _islice_helper(it, s): + start = s.start + stop = s.stop + if s.step == 0: + raise ValueError('step argument must be a non-zero integer or None.') + step = s.step or 1 + + if step > 0: + start = 0 if (start is None) else start + + if start < 0: + # Consume all but the last -start items + cache = deque(enumerate(it, 1), maxlen=-start) + len_iter = cache[-1][0] if cache else 0 + + # Adjust start to be positive + i = max(len_iter + start, 0) + + # Adjust stop to be positive + if stop is None: + j = len_iter + elif stop >= 0: + j = min(stop, len_iter) + else: + j = max(len_iter + stop, 0) + + # Slice the cache + n = j - i + if n <= 0: + return + + for index in range(n): + if index % step == 0: + # pop and yield the item. + # We don't want to use an intermediate variable + # it would extend the lifetime of the current item + yield cache.popleft()[1] + else: + # just pop and discard the item + cache.popleft() + elif (stop is not None) and (stop < 0): + # Advance to the start position + next(islice(it, start, start), None) + + # When stop is negative, we have to carry -stop items while + # iterating + cache = deque(islice(it, -stop), maxlen=-stop) + + for index, item in enumerate(it): + if index % step == 0: + # pop and yield the item. + # We don't want to use an intermediate variable + # it would extend the lifetime of the current item + yield cache.popleft() + else: + # just pop and discard the item + cache.popleft() + cache.append(item) + else: + # When both start and stop are positive we have the normal case + yield from islice(it, start, stop, step) + else: + start = -1 if (start is None) else start + + if (stop is not None) and (stop < 0): + # Consume all but the last items + n = -stop - 1 + cache = deque(enumerate(it, 1), maxlen=n) + len_iter = cache[-1][0] if cache else 0 + + # If start and stop are both negative they are comparable and + # we can just slice. Otherwise we can adjust start to be negative + # and then slice. + if start < 0: + i, j = start, stop + else: + i, j = min(start - len_iter, -1), None + + for index, item in list(cache)[i:j:step]: + yield item + else: + # Advance to the stop position + if stop is not None: + m = stop + 1 + next(islice(it, m, m), None) + + # stop is positive, so if start is negative they are not comparable + # and we need the rest of the items. + if start < 0: + i = start + n = None + # stop is None and start is positive, so we just need items up to + # the start index. + elif stop is None: + i = None + n = start + 1 + # Both stop and start are positive, so they are comparable. + else: + i = None + n = start - stop + if n <= 0: + return + + cache = list(islice(it, n)) + + yield from cache[i::step] + + +def always_reversible(iterable): + """An extension of :func:`reversed` that supports all iterables, not + just those which implement the ``Reversible`` or ``Sequence`` protocols. + + >>> print(*always_reversible(x for x in range(3))) + 2 1 0 + + If the iterable is already reversible, this function returns the + result of :func:`reversed()`. If the iterable is not reversible, + this function will cache the remaining items in the iterable and + yield them in reverse order, which may require significant storage. + """ + try: + return reversed(iterable) + except TypeError: + return reversed(list(iterable)) + + +def consecutive_groups(iterable, ordering=None): + """Yield groups of consecutive items using :func:`itertools.groupby`. + The *ordering* function determines whether two items are adjacent by + returning their position. + + By default, the ordering function is the identity function. This is + suitable for finding runs of numbers: + + >>> iterable = [1, 10, 11, 12, 20, 30, 31, 32, 33, 40] + >>> for group in consecutive_groups(iterable): + ... print(list(group)) + [1] + [10, 11, 12] + [20] + [30, 31, 32, 33] + [40] + + To find runs of adjacent letters, apply :func:`ord` function + to convert letters to ordinals. + + >>> iterable = 'abcdfgilmnop' + >>> ordering = ord + >>> for group in consecutive_groups(iterable, ordering): + ... print(list(group)) + ['a', 'b', 'c', 'd'] + ['f', 'g'] + ['i'] + ['l', 'm', 'n', 'o', 'p'] + + Each group of consecutive items is an iterator that shares it source with + *iterable*. When an an output group is advanced, the previous group is + no longer available unless its elements are copied (e.g., into a ``list``). + + >>> iterable = [1, 2, 11, 12, 21, 22] + >>> saved_groups = [] + >>> for group in consecutive_groups(iterable): + ... saved_groups.append(list(group)) # Copy group elements + >>> saved_groups + [[1, 2], [11, 12], [21, 22]] + + """ + if ordering is None: + key = lambda x: x[0] - x[1] + else: + key = lambda x: x[0] - ordering(x[1]) + + for k, g in groupby(enumerate(iterable), key=key): + yield map(itemgetter(1), g) + + +def difference(iterable, func=sub, *, initial=None): + """This function is the inverse of :func:`itertools.accumulate`. By default + it will compute the first difference of *iterable* using + :func:`operator.sub`: + + >>> from itertools import accumulate + >>> iterable = accumulate([0, 1, 2, 3, 4]) # produces 0, 1, 3, 6, 10 + >>> list(difference(iterable)) + [0, 1, 2, 3, 4] + + *func* defaults to :func:`operator.sub`, but other functions can be + specified. They will be applied as follows:: + + A, B, C, D, ... --> A, func(B, A), func(C, B), func(D, C), ... + + For example, to do progressive division: + + >>> iterable = [1, 2, 6, 24, 120] + >>> func = lambda x, y: x // y + >>> list(difference(iterable, func)) + [1, 2, 3, 4, 5] + + If the *initial* keyword is set, the first element will be skipped when + computing successive differences. + + >>> it = [10, 11, 13, 16] # from accumulate([1, 2, 3], initial=10) + >>> list(difference(it, initial=10)) + [1, 2, 3] + + """ + a, b = tee(iterable) + try: + first = [next(b)] + except StopIteration: + return iter([]) + + if initial is not None: + first = [] + + return chain(first, map(func, b, a)) + + +class SequenceView(Sequence): + """Return a read-only view of the sequence object *target*. + + :class:`SequenceView` objects are analogous to Python's built-in + "dictionary view" types. They provide a dynamic view of a sequence's items, + meaning that when the sequence updates, so does the view. + + >>> seq = ['0', '1', '2'] + >>> view = SequenceView(seq) + >>> view + SequenceView(['0', '1', '2']) + >>> seq.append('3') + >>> view + SequenceView(['0', '1', '2', '3']) + + Sequence views support indexing, slicing, and length queries. They act + like the underlying sequence, except they don't allow assignment: + + >>> view[1] + '1' + >>> view[1:-1] + ['1', '2'] + >>> len(view) + 4 + + Sequence views are useful as an alternative to copying, as they don't + require (much) extra storage. + + """ + + def __init__(self, target): + if not isinstance(target, Sequence): + raise TypeError + self._target = target + + def __getitem__(self, index): + return self._target[index] + + def __len__(self): + return len(self._target) + + def __repr__(self): + return f'{self.__class__.__name__}({self._target!r})' + + +class seekable: + """Wrap an iterator to allow for seeking backward and forward. This + progressively caches the items in the source iterable so they can be + re-visited. + + Call :meth:`seek` with an index to seek to that position in the source + iterable. + + To "reset" an iterator, seek to ``0``: + + >>> from itertools import count + >>> it = seekable((str(n) for n in count())) + >>> next(it), next(it), next(it) + ('0', '1', '2') + >>> it.seek(0) + >>> next(it), next(it), next(it) + ('0', '1', '2') + + You can also seek forward: + + >>> it = seekable((str(n) for n in range(20))) + >>> it.seek(10) + >>> next(it) + '10' + >>> it.seek(20) # Seeking past the end of the source isn't a problem + >>> list(it) + [] + >>> it.seek(0) # Resetting works even after hitting the end + >>> next(it) + '0' + + Call :meth:`relative_seek` to seek relative to the source iterator's + current position. + + >>> it = seekable((str(n) for n in range(20))) + >>> next(it), next(it), next(it) + ('0', '1', '2') + >>> it.relative_seek(2) + >>> next(it) + '5' + >>> it.relative_seek(-3) # Source is at '6', we move back to '3' + >>> next(it) + '3' + >>> it.relative_seek(-3) # Source is at '4', we move back to '1' + >>> next(it) + '1' + + + Call :meth:`peek` to look ahead one item without advancing the iterator: + + >>> it = seekable('1234') + >>> it.peek() + '1' + >>> list(it) + ['1', '2', '3', '4'] + >>> it.peek(default='empty') + 'empty' + + Before the iterator is at its end, calling :func:`bool` on it will return + ``True``. After it will return ``False``: + + >>> it = seekable('5678') + >>> bool(it) + True + >>> list(it) + ['5', '6', '7', '8'] + >>> bool(it) + False + + You may view the contents of the cache with the :meth:`elements` method. + That returns a :class:`SequenceView`, a view that updates automatically: + + >>> it = seekable((str(n) for n in range(10))) + >>> next(it), next(it), next(it) + ('0', '1', '2') + >>> elements = it.elements() + >>> elements + SequenceView(['0', '1', '2']) + >>> next(it) + '3' + >>> elements + SequenceView(['0', '1', '2', '3']) + + By default, the cache grows as the source iterable progresses, so beware of + wrapping very large or infinite iterables. Supply *maxlen* to limit the + size of the cache (this of course limits how far back you can seek). + + >>> from itertools import count + >>> it = seekable((str(n) for n in count()), maxlen=2) + >>> next(it), next(it), next(it), next(it) + ('0', '1', '2', '3') + >>> list(it.elements()) + ['2', '3'] + >>> it.seek(0) + >>> next(it), next(it), next(it), next(it) + ('2', '3', '4', '5') + >>> next(it) + '6' + + """ + + def __init__(self, iterable, maxlen=None): + self._source = iter(iterable) + if maxlen is None: + self._cache = [] + else: + self._cache = deque([], maxlen) + self._index = None + + def __iter__(self): + return self + + def __next__(self): + if self._index is not None: + try: + item = self._cache[self._index] + except IndexError: + self._index = None + else: + self._index += 1 + return item + + item = next(self._source) + self._cache.append(item) + return item + + def __bool__(self): + try: + self.peek() + except StopIteration: + return False + return True + + def peek(self, default=_marker): + try: + peeked = next(self) + except StopIteration: + if default is _marker: + raise + return default + if self._index is None: + self._index = len(self._cache) + self._index -= 1 + return peeked + + def elements(self): + return SequenceView(self._cache) + + def seek(self, index): + self._index = index + remainder = index - len(self._cache) + if remainder > 0: + consume(self, remainder) + + def relative_seek(self, count): + if self._index is None: + self._index = len(self._cache) + + self.seek(max(self._index + count, 0)) + + +class run_length: + """ + :func:`run_length.encode` compresses an iterable with run-length encoding. + It yields groups of repeated items with the count of how many times they + were repeated: + + >>> uncompressed = 'abbcccdddd' + >>> list(run_length.encode(uncompressed)) + [('a', 1), ('b', 2), ('c', 3), ('d', 4)] + + :func:`run_length.decode` decompresses an iterable that was previously + compressed with run-length encoding. It yields the items of the + decompressed iterable: + + >>> compressed = [('a', 1), ('b', 2), ('c', 3), ('d', 4)] + >>> list(run_length.decode(compressed)) + ['a', 'b', 'b', 'c', 'c', 'c', 'd', 'd', 'd', 'd'] + + """ + + @staticmethod + def encode(iterable): + return ((k, ilen(g)) for k, g in groupby(iterable)) + + @staticmethod + def decode(iterable): + return chain.from_iterable(starmap(repeat, iterable)) + + +def exactly_n(iterable, n, predicate=bool): + """Return ``True`` if exactly ``n`` items in the iterable are ``True`` + according to the *predicate* function. + + >>> exactly_n([True, True, False], 2) + True + >>> exactly_n([True, True, False], 1) + False + >>> exactly_n([0, 1, 2, 3, 4, 5], 3, lambda x: x < 3) + True + + The iterable will be advanced until ``n + 1`` truthy items are encountered, + so avoid calling it on infinite iterables. + + """ + return ilen(islice(filter(predicate, iterable), n + 1)) == n + + +def circular_shifts(iterable, steps=1): + """Yield the circular shifts of *iterable*. + + >>> list(circular_shifts(range(4))) + [(0, 1, 2, 3), (1, 2, 3, 0), (2, 3, 0, 1), (3, 0, 1, 2)] + + Set *steps* to the number of places to rotate to the left + (or to the right if negative). Defaults to 1. + + >>> list(circular_shifts(range(4), 2)) + [(0, 1, 2, 3), (2, 3, 0, 1)] + + >>> list(circular_shifts(range(4), -1)) + [(0, 1, 2, 3), (3, 0, 1, 2), (2, 3, 0, 1), (1, 2, 3, 0)] + + """ + buffer = deque(iterable) + if steps == 0: + raise ValueError('Steps should be a non-zero integer') + + buffer.rotate(steps) + steps = -steps + n = len(buffer) + n //= math.gcd(n, steps) + + for _ in repeat(None, n): + buffer.rotate(steps) + yield tuple(buffer) + + +def make_decorator(wrapping_func, result_index=0): + """Return a decorator version of *wrapping_func*, which is a function that + modifies an iterable. *result_index* is the position in that function's + signature where the iterable goes. + + This lets you use itertools on the "production end," i.e. at function + definition. This can augment what the function returns without changing the + function's code. + + For example, to produce a decorator version of :func:`chunked`: + + >>> from more_itertools import chunked + >>> chunker = make_decorator(chunked, result_index=0) + >>> @chunker(3) + ... def iter_range(n): + ... return iter(range(n)) + ... + >>> list(iter_range(9)) + [[0, 1, 2], [3, 4, 5], [6, 7, 8]] + + To only allow truthy items to be returned: + + >>> truth_serum = make_decorator(filter, result_index=1) + >>> @truth_serum(bool) + ... def boolean_test(): + ... return [0, 1, '', ' ', False, True] + ... + >>> list(boolean_test()) + [1, ' ', True] + + The :func:`peekable` and :func:`seekable` wrappers make for practical + decorators: + + >>> from more_itertools import peekable + >>> peekable_function = make_decorator(peekable) + >>> @peekable_function() + ... def str_range(*args): + ... return (str(x) for x in range(*args)) + ... + >>> it = str_range(1, 20, 2) + >>> next(it), next(it), next(it) + ('1', '3', '5') + >>> it.peek() + '7' + >>> next(it) + '7' + + """ + + # See https://sites.google.com/site/bbayles/index/decorator_factory for + # notes on how this works. + def decorator(*wrapping_args, **wrapping_kwargs): + def outer_wrapper(f): + def inner_wrapper(*args, **kwargs): + result = f(*args, **kwargs) + wrapping_args_ = list(wrapping_args) + wrapping_args_.insert(result_index, result) + return wrapping_func(*wrapping_args_, **wrapping_kwargs) + + return inner_wrapper + + return outer_wrapper + + return decorator + + +def map_reduce(iterable, keyfunc, valuefunc=None, reducefunc=None): + """Return a dictionary that maps the items in *iterable* to categories + defined by *keyfunc*, transforms them with *valuefunc*, and + then summarizes them by category with *reducefunc*. + + *valuefunc* defaults to the identity function if it is unspecified. + If *reducefunc* is unspecified, no summarization takes place: + + >>> keyfunc = lambda x: x.upper() + >>> result = map_reduce('abbccc', keyfunc) + >>> sorted(result.items()) + [('A', ['a']), ('B', ['b', 'b']), ('C', ['c', 'c', 'c'])] + + Specifying *valuefunc* transforms the categorized items: + + >>> keyfunc = lambda x: x.upper() + >>> valuefunc = lambda x: 1 + >>> result = map_reduce('abbccc', keyfunc, valuefunc) + >>> sorted(result.items()) + [('A', [1]), ('B', [1, 1]), ('C', [1, 1, 1])] + + Specifying *reducefunc* summarizes the categorized items: + + >>> keyfunc = lambda x: x.upper() + >>> valuefunc = lambda x: 1 + >>> reducefunc = sum + >>> result = map_reduce('abbccc', keyfunc, valuefunc, reducefunc) + >>> sorted(result.items()) + [('A', 1), ('B', 2), ('C', 3)] + + You may want to filter the input iterable before applying the map/reduce + procedure: + + >>> all_items = range(30) + >>> items = [x for x in all_items if 10 <= x <= 20] # Filter + >>> keyfunc = lambda x: x % 2 # Evens map to 0; odds to 1 + >>> categories = map_reduce(items, keyfunc=keyfunc) + >>> sorted(categories.items()) + [(0, [10, 12, 14, 16, 18, 20]), (1, [11, 13, 15, 17, 19])] + >>> summaries = map_reduce(items, keyfunc=keyfunc, reducefunc=sum) + >>> sorted(summaries.items()) + [(0, 90), (1, 75)] + + Note that all items in the iterable are gathered into a list before the + summarization step, which may require significant storage. + + The returned object is a :obj:`collections.defaultdict` with the + ``default_factory`` set to ``None``, such that it behaves like a normal + dictionary. + + """ + + ret = defaultdict(list) + + if valuefunc is None: + for item in iterable: + key = keyfunc(item) + ret[key].append(item) + + else: + for item in iterable: + key = keyfunc(item) + value = valuefunc(item) + ret[key].append(value) + + if reducefunc is not None: + for key, value_list in ret.items(): + ret[key] = reducefunc(value_list) + + ret.default_factory = None + return ret + + +def rlocate(iterable, pred=bool, window_size=None): + """Yield the index of each item in *iterable* for which *pred* returns + ``True``, starting from the right and moving left. + + *pred* defaults to :func:`bool`, which will select truthy items: + + >>> list(rlocate([0, 1, 1, 0, 1, 0, 0])) # Truthy at 1, 2, and 4 + [4, 2, 1] + + Set *pred* to a custom function to, e.g., find the indexes for a particular + item: + + >>> iterator = iter('abcb') + >>> pred = lambda x: x == 'b' + >>> list(rlocate(iterator, pred)) + [3, 1] + + If *window_size* is given, then the *pred* function will be called with + that many items. This enables searching for sub-sequences: + + >>> iterable = [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3] + >>> pred = lambda *args: args == (1, 2, 3) + >>> list(rlocate(iterable, pred=pred, window_size=3)) + [9, 5, 1] + + Beware, this function won't return anything for infinite iterables. + If *iterable* is reversible, ``rlocate`` will reverse it and search from + the right. Otherwise, it will search from the left and return the results + in reverse order. + + See :func:`locate` to for other example applications. + + """ + if window_size is None: + try: + len_iter = len(iterable) + return (len_iter - i - 1 for i in locate(reversed(iterable), pred)) + except TypeError: + pass + + return reversed(list(locate(iterable, pred, window_size))) + + +def replace(iterable, pred, substitutes, count=None, window_size=1): + """Yield the items from *iterable*, replacing the items for which *pred* + returns ``True`` with the items from the iterable *substitutes*. + + >>> iterable = [1, 1, 0, 1, 1, 0, 1, 1] + >>> pred = lambda x: x == 0 + >>> substitutes = (2, 3) + >>> list(replace(iterable, pred, substitutes)) + [1, 1, 2, 3, 1, 1, 2, 3, 1, 1] + + If *count* is given, the number of replacements will be limited: + + >>> iterable = [1, 1, 0, 1, 1, 0, 1, 1, 0] + >>> pred = lambda x: x == 0 + >>> substitutes = [None] + >>> list(replace(iterable, pred, substitutes, count=2)) + [1, 1, None, 1, 1, None, 1, 1, 0] + + Use *window_size* to control the number of items passed as arguments to + *pred*. This allows for locating and replacing subsequences. + + >>> iterable = [0, 1, 2, 5, 0, 1, 2, 5] + >>> window_size = 3 + >>> pred = lambda *args: args == (0, 1, 2) # 3 items passed to pred + >>> substitutes = [3, 4] # Splice in these items + >>> list(replace(iterable, pred, substitutes, window_size=window_size)) + [3, 4, 5, 3, 4, 5] + + """ + if window_size < 1: + raise ValueError('window_size must be at least 1') + + # Save the substitutes iterable, since it's used more than once + substitutes = tuple(substitutes) + + # Add padding such that the number of windows matches the length of the + # iterable + it = chain(iterable, repeat(_marker, window_size - 1)) + windows = windowed(it, window_size) + + n = 0 + for w in windows: + # If the current window matches our predicate (and we haven't hit + # our maximum number of replacements), splice in the substitutes + # and then consume the following windows that overlap with this one. + # For example, if the iterable is (0, 1, 2, 3, 4...) + # and the window size is 2, we have (0, 1), (1, 2), (2, 3)... + # If the predicate matches on (0, 1), we need to zap (0, 1) and (1, 2) + if pred(*w): + if (count is None) or (n < count): + n += 1 + yield from substitutes + consume(windows, window_size - 1) + continue + + # If there was no match (or we've reached the replacement limit), + # yield the first item from the window. + if w and (w[0] is not _marker): + yield w[0] + + +def partitions(iterable): + """Yield all possible order-preserving partitions of *iterable*. + + >>> iterable = 'abc' + >>> for part in partitions(iterable): + ... print([''.join(p) for p in part]) + ['abc'] + ['a', 'bc'] + ['ab', 'c'] + ['a', 'b', 'c'] + + This is unrelated to :func:`partition`. + + """ + sequence = list(iterable) + n = len(sequence) + for i in powerset(range(1, n)): + yield [sequence[i:j] for i, j in zip((0,) + i, i + (n,))] + + +def set_partitions(iterable, k=None, min_size=None, max_size=None): + """ + Yield the set partitions of *iterable* into *k* parts. Set partitions are + not order-preserving. + + >>> iterable = 'abc' + >>> for part in set_partitions(iterable, 2): + ... print([''.join(p) for p in part]) + ['a', 'bc'] + ['ab', 'c'] + ['b', 'ac'] + + + If *k* is not given, every set partition is generated. + + >>> iterable = 'abc' + >>> for part in set_partitions(iterable): + ... print([''.join(p) for p in part]) + ['abc'] + ['a', 'bc'] + ['ab', 'c'] + ['b', 'ac'] + ['a', 'b', 'c'] + + if *min_size* and/or *max_size* are given, the minimum and/or maximum size + per block in partition is set. + + >>> iterable = 'abc' + >>> for part in set_partitions(iterable, min_size=2): + ... print([''.join(p) for p in part]) + ['abc'] + >>> for part in set_partitions(iterable, max_size=2): + ... print([''.join(p) for p in part]) + ['a', 'bc'] + ['ab', 'c'] + ['b', 'ac'] + ['a', 'b', 'c'] + + """ + L = list(iterable) + n = len(L) + if k is not None: + if k < 1: + raise ValueError( + "Can't partition in a negative or zero number of groups" + ) + elif k > n: + return + + min_size = min_size if min_size is not None else 0 + max_size = max_size if max_size is not None else n + if min_size > max_size: + return + + def set_partitions_helper(L, k): + n = len(L) + if k == 1: + yield [L] + elif n == k: + yield [[s] for s in L] + else: + e, *M = L + for p in set_partitions_helper(M, k - 1): + yield [[e], *p] + for p in set_partitions_helper(M, k): + for i in range(len(p)): + yield p[:i] + [[e] + p[i]] + p[i + 1 :] + + if k is None: + for k in range(1, n + 1): + yield from filter( + lambda z: all(min_size <= len(bk) <= max_size for bk in z), + set_partitions_helper(L, k), + ) + else: + yield from filter( + lambda z: all(min_size <= len(bk) <= max_size for bk in z), + set_partitions_helper(L, k), + ) + + +class time_limited: + """ + Yield items from *iterable* until *limit_seconds* have passed. + If the time limit expires before all items have been yielded, the + ``timed_out`` parameter will be set to ``True``. + + >>> from time import sleep + >>> def generator(): + ... yield 1 + ... yield 2 + ... sleep(0.2) + ... yield 3 + >>> iterable = time_limited(0.1, generator()) + >>> list(iterable) + [1, 2] + >>> iterable.timed_out + True + + Note that the time is checked before each item is yielded, and iteration + stops if the time elapsed is greater than *limit_seconds*. If your time + limit is 1 second, but it takes 2 seconds to generate the first item from + the iterable, the function will run for 2 seconds and not yield anything. + As a special case, when *limit_seconds* is zero, the iterator never + returns anything. + + """ + + def __init__(self, limit_seconds, iterable): + if limit_seconds < 0: + raise ValueError('limit_seconds must be positive') + self.limit_seconds = limit_seconds + self._iterator = iter(iterable) + self._start_time = monotonic() + self.timed_out = False + + def __iter__(self): + return self + + def __next__(self): + if self.limit_seconds == 0: + self.timed_out = True + raise StopIteration + item = next(self._iterator) + if monotonic() - self._start_time > self.limit_seconds: + self.timed_out = True + raise StopIteration + + return item + + +def only(iterable, default=None, too_long=None): + """If *iterable* has only one item, return it. + If it has zero items, return *default*. + If it has more than one item, raise the exception given by *too_long*, + which is ``ValueError`` by default. + + >>> only([], default='missing') + 'missing' + >>> only([1]) + 1 + >>> only([1, 2]) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + ValueError: Expected exactly one item in iterable, but got 1, 2, + and perhaps more.' + >>> only([1, 2], too_long=TypeError) # doctest: +IGNORE_EXCEPTION_DETAIL + Traceback (most recent call last): + ... + TypeError + + Note that :func:`only` attempts to advance *iterable* twice to ensure there + is only one item. See :func:`spy` or :func:`peekable` to check + iterable contents less destructively. + + """ + iterator = iter(iterable) + for first in iterator: + for second in iterator: + msg = ( + f'Expected exactly one item in iterable, but got {first!r}, ' + f'{second!r}, and perhaps more.' + ) + raise too_long or ValueError(msg) + return first + return default + + +def _ichunk(iterator, n): + cache = deque() + chunk = islice(iterator, n) + + def generator(): + with suppress(StopIteration): + while True: + if cache: + yield cache.popleft() + else: + yield next(chunk) + + def materialize_next(n=1): + # if n not specified materialize everything + if n is None: + cache.extend(chunk) + return len(cache) + + to_cache = n - len(cache) + + # materialize up to n + if to_cache > 0: + cache.extend(islice(chunk, to_cache)) + + # return number materialized up to n + return min(n, len(cache)) + + return (generator(), materialize_next) + + +def ichunked(iterable, n): + """Break *iterable* into sub-iterables with *n* elements each. + :func:`ichunked` is like :func:`chunked`, but it yields iterables + instead of lists. + + If the sub-iterables are read in order, the elements of *iterable* + won't be stored in memory. + If they are read out of order, :func:`itertools.tee` is used to cache + elements as necessary. + + >>> from itertools import count + >>> all_chunks = ichunked(count(), 4) + >>> c_1, c_2, c_3 = next(all_chunks), next(all_chunks), next(all_chunks) + >>> list(c_2) # c_1's elements have been cached; c_3's haven't been + [4, 5, 6, 7] + >>> list(c_1) + [0, 1, 2, 3] + >>> list(c_3) + [8, 9, 10, 11] + + """ + iterator = iter(iterable) + while True: + # Create new chunk + chunk, materialize_next = _ichunk(iterator, n) + + # Check to see whether we're at the end of the source iterable + if not materialize_next(): + return + + yield chunk + + # Fill previous chunk's cache + materialize_next(None) + + +def iequals(*iterables): + """Return ``True`` if all given *iterables* are equal to each other, + which means that they contain the same elements in the same order. + + The function is useful for comparing iterables of different data types + or iterables that do not support equality checks. + + >>> iequals("abc", ['a', 'b', 'c'], ('a', 'b', 'c'), iter("abc")) + True + + >>> iequals("abc", "acb") + False + + Not to be confused with :func:`all_equal`, which checks whether all + elements of iterable are equal to each other. + + """ + return all(map(all_equal, zip_longest(*iterables, fillvalue=object()))) + + +def distinct_combinations(iterable, r): + """Yield the distinct combinations of *r* items taken from *iterable*. + + >>> list(distinct_combinations([0, 0, 1], 2)) + [(0, 0), (0, 1)] + + Equivalent to ``set(combinations(iterable))``, except duplicates are not + generated and thrown away. For larger input sequences this is much more + efficient. + + """ + if r < 0: + raise ValueError('r must be non-negative') + elif r == 0: + yield () + return + pool = tuple(iterable) + generators = [unique_everseen(enumerate(pool), key=itemgetter(1))] + current_combo = [None] * r + level = 0 + while generators: + try: + cur_idx, p = next(generators[-1]) + except StopIteration: + generators.pop() + level -= 1 + continue + current_combo[level] = p + if level + 1 == r: + yield tuple(current_combo) + else: + generators.append( + unique_everseen( + enumerate(pool[cur_idx + 1 :], cur_idx + 1), + key=itemgetter(1), + ) + ) + level += 1 + + +def filter_except(validator, iterable, *exceptions): + """Yield the items from *iterable* for which the *validator* function does + not raise one of the specified *exceptions*. + + *validator* is called for each item in *iterable*. + It should be a function that accepts one argument and raises an exception + if that item is not valid. + + >>> iterable = ['1', '2', 'three', '4', None] + >>> list(filter_except(int, iterable, ValueError, TypeError)) + ['1', '2', '4'] + + If an exception other than one given by *exceptions* is raised by + *validator*, it is raised like normal. + """ + for item in iterable: + try: + validator(item) + except exceptions: + pass + else: + yield item + + +def map_except(function, iterable, *exceptions): + """Transform each item from *iterable* with *function* and yield the + result, unless *function* raises one of the specified *exceptions*. + + *function* is called to transform each item in *iterable*. + It should accept one argument. + + >>> iterable = ['1', '2', 'three', '4', None] + >>> list(map_except(int, iterable, ValueError, TypeError)) + [1, 2, 4] + + If an exception other than one given by *exceptions* is raised by + *function*, it is raised like normal. + """ + for item in iterable: + try: + yield function(item) + except exceptions: + pass + + +def map_if(iterable, pred, func, func_else=None): + """Evaluate each item from *iterable* using *pred*. If the result is + equivalent to ``True``, transform the item with *func* and yield it. + Otherwise, transform the item with *func_else* and yield it. + + *pred*, *func*, and *func_else* should each be functions that accept + one argument. By default, *func_else* is the identity function. + + >>> from math import sqrt + >>> iterable = list(range(-5, 5)) + >>> iterable + [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4] + >>> list(map_if(iterable, lambda x: x > 3, lambda x: 'toobig')) + [-5, -4, -3, -2, -1, 0, 1, 2, 3, 'toobig'] + >>> list(map_if(iterable, lambda x: x >= 0, + ... lambda x: f'{sqrt(x):.2f}', lambda x: None)) + [None, None, None, None, None, '0.00', '1.00', '1.41', '1.73', '2.00'] + """ + + if func_else is None: + for item in iterable: + yield func(item) if pred(item) else item + + else: + for item in iterable: + yield func(item) if pred(item) else func_else(item) + + +def _sample_unweighted(iterator, k, strict): + # Algorithm L in the 1994 paper by Kim-Hung Li: + # "Reservoir-Sampling Algorithms of Time Complexity O(n(1+log(N/n)))". + + reservoir = list(islice(iterator, k)) + if strict and len(reservoir) < k: + raise ValueError('Sample larger than population') + W = 1.0 + + with suppress(StopIteration): + while True: + W *= random() ** (1 / k) + skip = floor(log(random()) / log1p(-W)) + element = next(islice(iterator, skip, None)) + reservoir[randrange(k)] = element + + shuffle(reservoir) + return reservoir + + +def _sample_weighted(iterator, k, weights, strict): + # Implementation of "A-ExpJ" from the 2006 paper by Efraimidis et al. : + # "Weighted random sampling with a reservoir". + + # Log-transform for numerical stability for weights that are small/large + weight_keys = (log(random()) / weight for weight in weights) + + # Fill up the reservoir (collection of samples) with the first `k` + # weight-keys and elements, then heapify the list. + reservoir = take(k, zip(weight_keys, iterator)) + if strict and len(reservoir) < k: + raise ValueError('Sample larger than population') + + heapify(reservoir) + + # The number of jumps before changing the reservoir is a random variable + # with an exponential distribution. Sample it using random() and logs. + smallest_weight_key, _ = reservoir[0] + weights_to_skip = log(random()) / smallest_weight_key + + for weight, element in zip(weights, iterator): + if weight >= weights_to_skip: + # The notation here is consistent with the paper, but we store + # the weight-keys in log-space for better numerical stability. + smallest_weight_key, _ = reservoir[0] + t_w = exp(weight * smallest_weight_key) + r_2 = uniform(t_w, 1) # generate U(t_w, 1) + weight_key = log(r_2) / weight + heapreplace(reservoir, (weight_key, element)) + smallest_weight_key, _ = reservoir[0] + weights_to_skip = log(random()) / smallest_weight_key + else: + weights_to_skip -= weight + + ret = [element for weight_key, element in reservoir] + shuffle(ret) + return ret + + +def _sample_counted(population, k, counts, strict): + element = None + remaining = 0 + + def feed(i): + # Advance *i* steps ahead and consume an element + nonlocal element, remaining + + while i + 1 > remaining: + i = i - remaining + element = next(population) + remaining = next(counts) + remaining -= i + 1 + return element + + with suppress(StopIteration): + reservoir = [] + for _ in range(k): + reservoir.append(feed(0)) + + if strict and len(reservoir) < k: + raise ValueError('Sample larger than population') + + with suppress(StopIteration): + W = 1.0 + while True: + W *= random() ** (1 / k) + skip = floor(log(random()) / log1p(-W)) + element = feed(skip) + reservoir[randrange(k)] = element + + shuffle(reservoir) + return reservoir + + +def sample(iterable, k, weights=None, *, counts=None, strict=False): + """Return a *k*-length list of elements chosen (without replacement) + from the *iterable*. + + Similar to :func:`random.sample`, but works on inputs that aren't + indexable (such as sets and dictionaries) and on inputs where the + size isn't known in advance (such as generators). + + >>> iterable = range(100) + >>> sample(iterable, 5) # doctest: +SKIP + [81, 60, 96, 16, 4] + + For iterables with repeated elements, you may supply *counts* to + indicate the repeats. + + >>> iterable = ['a', 'b'] + >>> counts = [3, 4] # Equivalent to 'a', 'a', 'a', 'b', 'b', 'b', 'b' + >>> sample(iterable, k=3, counts=counts) # doctest: +SKIP + ['a', 'a', 'b'] + + An iterable with *weights* may be given: + + >>> iterable = range(100) + >>> weights = (i * i + 1 for i in range(100)) + >>> sampled = sample(iterable, 5, weights=weights) # doctest: +SKIP + [79, 67, 74, 66, 78] + + Weighted selections are made without replacement. + After an element is selected, it is removed from the pool and the + relative weights of the other elements increase (this + does not match the behavior of :func:`random.sample`'s *counts* + parameter). Note that *weights* may not be used with *counts*. + + If the length of *iterable* is less than *k*, + ``ValueError`` is raised if *strict* is ``True`` and + all elements are returned (in shuffled order) if *strict* is ``False``. + + By default, the `Algorithm L `__ reservoir sampling + technique is used. When *weights* are provided, + `Algorithm A-ExpJ `__ is used instead. + + Notes on reproducibility: + + * The algorithms rely on inexact floating-point functions provided + by the underlying math library (e.g. ``log``, ``log1p``, and ``pow``). + Those functions can `produce slightly different results + `_ on + different builds. Accordingly, selections can vary across builds + even for the same seed. + + * The algorithms loop over the input and make selections based on + ordinal position, so selections from unordered collections (such as + sets) won't reproduce across sessions on the same platform using the + same seed. For example, this won't reproduce:: + + >> seed(8675309) + >> sample(set('abcdefghijklmnopqrstuvwxyz'), 10) + ['c', 'p', 'e', 'w', 's', 'a', 'j', 'd', 'n', 't'] + + """ + iterator = iter(iterable) + + if k < 0: + raise ValueError('k must be non-negative') + + if k == 0: + return [] + + if weights is not None and counts is not None: + raise TypeError('weights and counts are mutually exclusive') + + elif weights is not None: + weights = iter(weights) + return _sample_weighted(iterator, k, weights, strict) + + elif counts is not None: + counts = iter(counts) + return _sample_counted(iterator, k, counts, strict) + + else: + return _sample_unweighted(iterator, k, strict) + + +def is_sorted(iterable, key=None, reverse=False, strict=False): + """Returns ``True`` if the items of iterable are in sorted order, and + ``False`` otherwise. *key* and *reverse* have the same meaning that they do + in the built-in :func:`sorted` function. + + >>> is_sorted(['1', '2', '3', '4', '5'], key=int) + True + >>> is_sorted([5, 4, 3, 1, 2], reverse=True) + False + + If *strict*, tests for strict sorting, that is, returns ``False`` if equal + elements are found: + + >>> is_sorted([1, 2, 2]) + True + >>> is_sorted([1, 2, 2], strict=True) + False + + The function returns ``False`` after encountering the first out-of-order + item, which means it may produce results that differ from the built-in + :func:`sorted` function for objects with unusual comparison dynamics + (like ``math.nan``). If there are no out-of-order items, the iterable is + exhausted. + """ + it = iterable if (key is None) else map(key, iterable) + a, b = tee(it) + next(b, None) + if reverse: + b, a = a, b + return all(map(lt, a, b)) if strict else not any(map(lt, b, a)) + + +class AbortThread(BaseException): + pass + + +class callback_iter: + """Convert a function that uses callbacks to an iterator. + + Let *func* be a function that takes a `callback` keyword argument. + For example: + + >>> def func(callback=None): + ... for i, c in [(1, 'a'), (2, 'b'), (3, 'c')]: + ... if callback: + ... callback(i, c) + ... return 4 + + + Use ``with callback_iter(func)`` to get an iterator over the parameters + that are delivered to the callback. + + >>> with callback_iter(func) as it: + ... for args, kwargs in it: + ... print(args) + (1, 'a') + (2, 'b') + (3, 'c') + + The function will be called in a background thread. The ``done`` property + indicates whether it has completed execution. + + >>> it.done + True + + If it completes successfully, its return value will be available + in the ``result`` property. + + >>> it.result + 4 + + Notes: + + * If the function uses some keyword argument besides ``callback``, supply + *callback_kwd*. + * If it finished executing, but raised an exception, accessing the + ``result`` property will raise the same exception. + * If it hasn't finished executing, accessing the ``result`` + property from within the ``with`` block will raise ``RuntimeError``. + * If it hasn't finished executing, accessing the ``result`` property from + outside the ``with`` block will raise a + ``more_itertools.AbortThread`` exception. + * Provide *wait_seconds* to adjust how frequently the it is polled for + output. + + """ + + def __init__(self, func, callback_kwd='callback', wait_seconds=0.1): + self._func = func + self._callback_kwd = callback_kwd + self._aborted = False + self._future = None + self._wait_seconds = wait_seconds + # Lazily import concurrent.future + self._executor = __import__( + 'concurrent.futures' + ).futures.ThreadPoolExecutor(max_workers=1) + self._iterator = self._reader() + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, traceback): + self._aborted = True + self._executor.shutdown() + + def __iter__(self): + return self + + def __next__(self): + return next(self._iterator) + + @property + def done(self): + if self._future is None: + return False + return self._future.done() + + @property + def result(self): + if not self.done: + raise RuntimeError('Function has not yet completed') + + return self._future.result() + + def _reader(self): + q = Queue() + + def callback(*args, **kwargs): + if self._aborted: + raise AbortThread('canceled by user') + + q.put((args, kwargs)) + + self._future = self._executor.submit( + self._func, **{self._callback_kwd: callback} + ) + + while True: + try: + item = q.get(timeout=self._wait_seconds) + except Empty: + pass + else: + q.task_done() + yield item + + if self._future.done(): + break + + remaining = [] + while True: + try: + item = q.get_nowait() + except Empty: + break + else: + q.task_done() + remaining.append(item) + q.join() + yield from remaining + + +def windowed_complete(iterable, n): + """ + Yield ``(beginning, middle, end)`` tuples, where: + + * Each ``middle`` has *n* items from *iterable* + * Each ``beginning`` has the items before the ones in ``middle`` + * Each ``end`` has the items after the ones in ``middle`` + + >>> iterable = range(7) + >>> n = 3 + >>> for beginning, middle, end in windowed_complete(iterable, n): + ... print(beginning, middle, end) + () (0, 1, 2) (3, 4, 5, 6) + (0,) (1, 2, 3) (4, 5, 6) + (0, 1) (2, 3, 4) (5, 6) + (0, 1, 2) (3, 4, 5) (6,) + (0, 1, 2, 3) (4, 5, 6) () + + Note that *n* must be at least 0 and most equal to the length of + *iterable*. + + This function will exhaust the iterable and may require significant + storage. + """ + if n < 0: + raise ValueError('n must be >= 0') + + seq = tuple(iterable) + size = len(seq) + + if n > size: + raise ValueError('n must be <= len(seq)') + + for i in range(size - n + 1): + beginning = seq[:i] + middle = seq[i : i + n] + end = seq[i + n :] + yield beginning, middle, end + + +def all_unique(iterable, key=None): + """ + Returns ``True`` if all the elements of *iterable* are unique (no two + elements are equal). + + >>> all_unique('ABCB') + False + + If a *key* function is specified, it will be used to make comparisons. + + >>> all_unique('ABCb') + True + >>> all_unique('ABCb', str.lower) + False + + The function returns as soon as the first non-unique element is + encountered. Iterables with a mix of hashable and unhashable items can + be used, but the function will be slower for unhashable items. + """ + seenset = set() + seenset_add = seenset.add + seenlist = [] + seenlist_add = seenlist.append + for element in map(key, iterable) if key else iterable: + try: + if element in seenset: + return False + seenset_add(element) + except TypeError: + if element in seenlist: + return False + seenlist_add(element) + return True + + +def nth_product(index, *args): + """Equivalent to ``list(product(*args))[index]``. + + The products of *args* can be ordered lexicographically. + :func:`nth_product` computes the product at sort position *index* without + computing the previous products. + + >>> nth_product(8, range(2), range(2), range(2), range(2)) + (1, 0, 0, 0) + + ``IndexError`` will be raised if the given *index* is invalid. + """ + pools = list(map(tuple, reversed(args))) + ns = list(map(len, pools)) + + c = reduce(mul, ns) + + if index < 0: + index += c + + if not 0 <= index < c: + raise IndexError + + result = [] + for pool, n in zip(pools, ns): + result.append(pool[index % n]) + index //= n + + return tuple(reversed(result)) + + +def nth_permutation(iterable, r, index): + """Equivalent to ``list(permutations(iterable, r))[index]``` + + The subsequences of *iterable* that are of length *r* where order is + important can be ordered lexicographically. :func:`nth_permutation` + computes the subsequence at sort position *index* directly, without + computing the previous subsequences. + + >>> nth_permutation('ghijk', 2, 5) + ('h', 'i') + + ``ValueError`` will be raised If *r* is negative or greater than the length + of *iterable*. + ``IndexError`` will be raised if the given *index* is invalid. + """ + pool = list(iterable) + n = len(pool) + + if r is None or r == n: + r, c = n, factorial(n) + elif not 0 <= r < n: + raise ValueError + else: + c = perm(n, r) + assert c > 0 # factorial(n)>0, and r>> nth_combination_with_replacement(range(5), 3, 5) + (0, 1, 1) + + ``ValueError`` will be raised If *r* is negative or greater than the length + of *iterable*. + ``IndexError`` will be raised if the given *index* is invalid. + """ + pool = tuple(iterable) + n = len(pool) + if (r < 0) or (r > n): + raise ValueError + + c = comb(n + r - 1, r) + + if index < 0: + index += c + + if (index < 0) or (index >= c): + raise IndexError + + result = [] + i = 0 + while r: + r -= 1 + while n >= 0: + num_combs = comb(n + r - 1, r) + if index < num_combs: + break + n -= 1 + i += 1 + index -= num_combs + result.append(pool[i]) + + return tuple(result) + + +def value_chain(*args): + """Yield all arguments passed to the function in the same order in which + they were passed. If an argument itself is iterable then iterate over its + values. + + >>> list(value_chain(1, 2, 3, [4, 5, 6])) + [1, 2, 3, 4, 5, 6] + + Binary and text strings are not considered iterable and are emitted + as-is: + + >>> list(value_chain('12', '34', ['56', '78'])) + ['12', '34', '56', '78'] + + Pre- or postpend a single element to an iterable: + + >>> list(value_chain(1, [2, 3, 4, 5, 6])) + [1, 2, 3, 4, 5, 6] + >>> list(value_chain([1, 2, 3, 4, 5], 6)) + [1, 2, 3, 4, 5, 6] + + Multiple levels of nesting are not flattened. + + """ + for value in args: + if isinstance(value, (str, bytes)): + yield value + continue + try: + yield from value + except TypeError: + yield value + + +def product_index(element, *args): + """Equivalent to ``list(product(*args)).index(element)`` + + The products of *args* can be ordered lexicographically. + :func:`product_index` computes the first index of *element* without + computing the previous products. + + >>> product_index([8, 2], range(10), range(5)) + 42 + + ``ValueError`` will be raised if the given *element* isn't in the product + of *args*. + """ + index = 0 + + for x, pool in zip_longest(element, args, fillvalue=_marker): + if x is _marker or pool is _marker: + raise ValueError('element is not a product of args') + + pool = tuple(pool) + index = index * len(pool) + pool.index(x) + + return index + + +def combination_index(element, iterable): + """Equivalent to ``list(combinations(iterable, r)).index(element)`` + + The subsequences of *iterable* that are of length *r* can be ordered + lexicographically. :func:`combination_index` computes the index of the + first *element*, without computing the previous combinations. + + >>> combination_index('adf', 'abcdefg') + 10 + + ``ValueError`` will be raised if the given *element* isn't one of the + combinations of *iterable*. + """ + element = enumerate(element) + k, y = next(element, (None, None)) + if k is None: + return 0 + + indexes = [] + pool = enumerate(iterable) + for n, x in pool: + if x == y: + indexes.append(n) + tmp, y = next(element, (None, None)) + if tmp is None: + break + else: + k = tmp + else: + raise ValueError('element is not a combination of iterable') + + n, _ = last(pool, default=(n, None)) + + # Python versions below 3.8 don't have math.comb + index = 1 + for i, j in enumerate(reversed(indexes), start=1): + j = n - j + if i <= j: + index += comb(j, i) + + return comb(n + 1, k + 1) - index + + +def combination_with_replacement_index(element, iterable): + """Equivalent to + ``list(combinations_with_replacement(iterable, r)).index(element)`` + + The subsequences with repetition of *iterable* that are of length *r* can + be ordered lexicographically. :func:`combination_with_replacement_index` + computes the index of the first *element*, without computing the previous + combinations with replacement. + + >>> combination_with_replacement_index('adf', 'abcdefg') + 20 + + ``ValueError`` will be raised if the given *element* isn't one of the + combinations with replacement of *iterable*. + """ + element = tuple(element) + l = len(element) + element = enumerate(element) + + k, y = next(element, (None, None)) + if k is None: + return 0 + + indexes = [] + pool = tuple(iterable) + for n, x in enumerate(pool): + while x == y: + indexes.append(n) + tmp, y = next(element, (None, None)) + if tmp is None: + break + else: + k = tmp + if y is None: + break + else: + raise ValueError( + 'element is not a combination with replacement of iterable' + ) + + n = len(pool) + occupations = [0] * n + for p in indexes: + occupations[p] += 1 + + index = 0 + cumulative_sum = 0 + for k in range(1, n): + cumulative_sum += occupations[k - 1] + j = l + n - 1 - k - cumulative_sum + i = n - k + if i <= j: + index += comb(j, i) + + return index + + +def permutation_index(element, iterable): + """Equivalent to ``list(permutations(iterable, r)).index(element)``` + + The subsequences of *iterable* that are of length *r* where order is + important can be ordered lexicographically. :func:`permutation_index` + computes the index of the first *element* directly, without computing + the previous permutations. + + >>> permutation_index([1, 3, 2], range(5)) + 19 + + ``ValueError`` will be raised if the given *element* isn't one of the + permutations of *iterable*. + """ + index = 0 + pool = list(iterable) + for i, x in zip(range(len(pool), -1, -1), element): + r = pool.index(x) + index = index * i + r + del pool[r] + + return index + + +class countable: + """Wrap *iterable* and keep a count of how many items have been consumed. + + The ``items_seen`` attribute starts at ``0`` and increments as the iterable + is consumed: + + >>> iterable = map(str, range(10)) + >>> it = countable(iterable) + >>> it.items_seen + 0 + >>> next(it), next(it) + ('0', '1') + >>> list(it) + ['2', '3', '4', '5', '6', '7', '8', '9'] + >>> it.items_seen + 10 + """ + + def __init__(self, iterable): + self._iterator = iter(iterable) + self.items_seen = 0 + + def __iter__(self): + return self + + def __next__(self): + item = next(self._iterator) + self.items_seen += 1 + + return item + + +def chunked_even(iterable, n): + """Break *iterable* into lists of approximately length *n*. + Items are distributed such the lengths of the lists differ by at most + 1 item. + + >>> iterable = [1, 2, 3, 4, 5, 6, 7] + >>> n = 3 + >>> list(chunked_even(iterable, n)) # List lengths: 3, 2, 2 + [[1, 2, 3], [4, 5], [6, 7]] + >>> list(chunked(iterable, n)) # List lengths: 3, 3, 1 + [[1, 2, 3], [4, 5, 6], [7]] + + """ + iterator = iter(iterable) + + # Initialize a buffer to process the chunks while keeping + # some back to fill any underfilled chunks + min_buffer = (n - 1) * (n - 2) + buffer = list(islice(iterator, min_buffer)) + + # Append items until we have a completed chunk + for _ in islice(map(buffer.append, iterator), n, None, n): + yield buffer[:n] + del buffer[:n] + + # Check if any chunks need addition processing + if not buffer: + return + length = len(buffer) + + # Chunks are either size `full_size <= n` or `partial_size = full_size - 1` + q, r = divmod(length, n) + num_lists = q + (1 if r > 0 else 0) + q, r = divmod(length, num_lists) + full_size = q + (1 if r > 0 else 0) + partial_size = full_size - 1 + num_full = length - partial_size * num_lists + + # Yield chunks of full size + partial_start_idx = num_full * full_size + if full_size > 0: + for i in range(0, partial_start_idx, full_size): + yield buffer[i : i + full_size] + + # Yield chunks of partial size + if partial_size > 0: + for i in range(partial_start_idx, length, partial_size): + yield buffer[i : i + partial_size] + + +def zip_broadcast(*objects, scalar_types=(str, bytes), strict=False): + """A version of :func:`zip` that "broadcasts" any scalar + (i.e., non-iterable) items into output tuples. + + >>> iterable_1 = [1, 2, 3] + >>> iterable_2 = ['a', 'b', 'c'] + >>> scalar = '_' + >>> list(zip_broadcast(iterable_1, iterable_2, scalar)) + [(1, 'a', '_'), (2, 'b', '_'), (3, 'c', '_')] + + The *scalar_types* keyword argument determines what types are considered + scalar. It is set to ``(str, bytes)`` by default. Set it to ``None`` to + treat strings and byte strings as iterable: + + >>> list(zip_broadcast('abc', 0, 'xyz', scalar_types=None)) + [('a', 0, 'x'), ('b', 0, 'y'), ('c', 0, 'z')] + + If the *strict* keyword argument is ``True``, then + ``UnequalIterablesError`` will be raised if any of the iterables have + different lengths. + """ + + def is_scalar(obj): + if scalar_types and isinstance(obj, scalar_types): + return True + try: + iter(obj) + except TypeError: + return True + else: + return False + + size = len(objects) + if not size: + return + + new_item = [None] * size + iterables, iterable_positions = [], [] + for i, obj in enumerate(objects): + if is_scalar(obj): + new_item[i] = obj + else: + iterables.append(iter(obj)) + iterable_positions.append(i) + + if not iterables: + yield tuple(objects) + return + + zipper = _zip_equal if strict else zip + for item in zipper(*iterables): + for i, new_item[i] in zip(iterable_positions, item): + pass + yield tuple(new_item) + + +def unique_in_window(iterable, n, key=None): + """Yield the items from *iterable* that haven't been seen recently. + *n* is the size of the lookback window. + + >>> iterable = [0, 1, 0, 2, 3, 0] + >>> n = 3 + >>> list(unique_in_window(iterable, n)) + [0, 1, 2, 3, 0] + + The *key* function, if provided, will be used to determine uniqueness: + + >>> list(unique_in_window('abAcda', 3, key=lambda x: x.lower())) + ['a', 'b', 'c', 'd', 'a'] + + The items in *iterable* must be hashable. + + """ + if n <= 0: + raise ValueError('n must be greater than 0') + + window = deque(maxlen=n) + counts = defaultdict(int) + use_key = key is not None + + for item in iterable: + if len(window) == n: + to_discard = window[0] + if counts[to_discard] == 1: + del counts[to_discard] + else: + counts[to_discard] -= 1 + + k = key(item) if use_key else item + if k not in counts: + yield item + counts[k] += 1 + window.append(k) + + +def duplicates_everseen(iterable, key=None): + """Yield duplicate elements after their first appearance. + + >>> list(duplicates_everseen('mississippi')) + ['s', 'i', 's', 's', 'i', 'p', 'i'] + >>> list(duplicates_everseen('AaaBbbCccAaa', str.lower)) + ['a', 'a', 'b', 'b', 'c', 'c', 'A', 'a', 'a'] + + This function is analogous to :func:`unique_everseen` and is subject to + the same performance considerations. + + """ + seen_set = set() + seen_list = [] + use_key = key is not None + + for element in iterable: + k = key(element) if use_key else element + try: + if k not in seen_set: + seen_set.add(k) + else: + yield element + except TypeError: + if k not in seen_list: + seen_list.append(k) + else: + yield element + + +def duplicates_justseen(iterable, key=None): + """Yields serially-duplicate elements after their first appearance. + + >>> list(duplicates_justseen('mississippi')) + ['s', 's', 'p'] + >>> list(duplicates_justseen('AaaBbbCccAaa', str.lower)) + ['a', 'a', 'b', 'b', 'c', 'c', 'a', 'a'] + + This function is analogous to :func:`unique_justseen`. + + """ + return flatten(g for _, g in groupby(iterable, key) for _ in g) + + +def classify_unique(iterable, key=None): + """Classify each element in terms of its uniqueness. + + For each element in the input iterable, return a 3-tuple consisting of: + + 1. The element itself + 2. ``False`` if the element is equal to the one preceding it in the input, + ``True`` otherwise (i.e. the equivalent of :func:`unique_justseen`) + 3. ``False`` if this element has been seen anywhere in the input before, + ``True`` otherwise (i.e. the equivalent of :func:`unique_everseen`) + + >>> list(classify_unique('otto')) # doctest: +NORMALIZE_WHITESPACE + [('o', True, True), + ('t', True, True), + ('t', False, False), + ('o', True, False)] + + This function is analogous to :func:`unique_everseen` and is subject to + the same performance considerations. + + """ + seen_set = set() + seen_list = [] + use_key = key is not None + previous = None + + for i, element in enumerate(iterable): + k = key(element) if use_key else element + is_unique_justseen = not i or previous != k + previous = k + is_unique_everseen = False + try: + if k not in seen_set: + seen_set.add(k) + is_unique_everseen = True + except TypeError: + if k not in seen_list: + seen_list.append(k) + is_unique_everseen = True + yield element, is_unique_justseen, is_unique_everseen + + +def minmax(iterable_or_value, *others, key=None, default=_marker): + """Returns both the smallest and largest items from an iterable + or from two or more arguments. + + >>> minmax([3, 1, 5]) + (1, 5) + + >>> minmax(4, 2, 6) + (2, 6) + + If a *key* function is provided, it will be used to transform the input + items for comparison. + + >>> minmax([5, 30], key=str) # '30' sorts before '5' + (30, 5) + + If a *default* value is provided, it will be returned if there are no + input items. + + >>> minmax([], default=(0, 0)) + (0, 0) + + Otherwise ``ValueError`` is raised. + + This function makes a single pass over the input elements and takes care to + minimize the number of comparisons made during processing. + + Note that unlike the builtin ``max`` function, which always returns the first + item with the maximum value, this function may return another item when there are + ties. + + This function is based on the + `recipe `__ by + Raymond Hettinger. + """ + iterable = (iterable_or_value, *others) if others else iterable_or_value + + it = iter(iterable) + + try: + lo = hi = next(it) + except StopIteration as exc: + if default is _marker: + raise ValueError( + '`minmax()` argument is an empty iterable. ' + 'Provide a `default` value to suppress this error.' + ) from exc + return default + + # Different branches depending on the presence of key. This saves a lot + # of unimportant copies which would slow the "key=None" branch + # significantly down. + if key is None: + for x, y in zip_longest(it, it, fillvalue=lo): + if y < x: + x, y = y, x + if x < lo: + lo = x + if hi < y: + hi = y + + else: + lo_key = hi_key = key(lo) + + for x, y in zip_longest(it, it, fillvalue=lo): + x_key, y_key = key(x), key(y) + + if y_key < x_key: + x, y, x_key, y_key = y, x, y_key, x_key + if x_key < lo_key: + lo, lo_key = x, x_key + if hi_key < y_key: + hi, hi_key = y, y_key + + return lo, hi + + +def constrained_batches( + iterable, max_size, max_count=None, get_len=len, strict=True +): + """Yield batches of items from *iterable* with a combined size limited by + *max_size*. + + >>> iterable = [b'12345', b'123', b'12345678', b'1', b'1', b'12', b'1'] + >>> list(constrained_batches(iterable, 10)) + [(b'12345', b'123'), (b'12345678', b'1', b'1'), (b'12', b'1')] + + If a *max_count* is supplied, the number of items per batch is also + limited: + + >>> iterable = [b'12345', b'123', b'12345678', b'1', b'1', b'12', b'1'] + >>> list(constrained_batches(iterable, 10, max_count = 2)) + [(b'12345', b'123'), (b'12345678', b'1'), (b'1', b'12'), (b'1',)] + + If a *get_len* function is supplied, use that instead of :func:`len` to + determine item size. + + If *strict* is ``True``, raise ``ValueError`` if any single item is bigger + than *max_size*. Otherwise, allow single items to exceed *max_size*. + """ + if max_size <= 0: + raise ValueError('maximum size must be greater than zero') + + batch = [] + batch_size = 0 + batch_count = 0 + for item in iterable: + item_len = get_len(item) + if strict and item_len > max_size: + raise ValueError('item size exceeds maximum size') + + reached_count = batch_count == max_count + reached_size = item_len + batch_size > max_size + if batch_count and (reached_size or reached_count): + yield tuple(batch) + batch.clear() + batch_size = 0 + batch_count = 0 + + batch.append(item) + batch_size += item_len + batch_count += 1 + + if batch: + yield tuple(batch) + + +def gray_product(*iterables): + """Like :func:`itertools.product`, but return tuples in an order such + that only one element in the generated tuple changes from one iteration + to the next. + + >>> list(gray_product('AB','CD')) + [('A', 'C'), ('B', 'C'), ('B', 'D'), ('A', 'D')] + + This function consumes all of the input iterables before producing output. + If any of the input iterables have fewer than two items, ``ValueError`` + is raised. + + For information on the algorithm, see + `this section `__ + of Donald Knuth's *The Art of Computer Programming*. + """ + all_iterables = tuple(tuple(x) for x in iterables) + iterable_count = len(all_iterables) + for iterable in all_iterables: + if len(iterable) < 2: + raise ValueError("each iterable must have two or more items") + + # This is based on "Algorithm H" from section 7.2.1.1, page 20. + # a holds the indexes of the source iterables for the n-tuple to be yielded + # f is the array of "focus pointers" + # o is the array of "directions" + a = [0] * iterable_count + f = list(range(iterable_count + 1)) + o = [1] * iterable_count + while True: + yield tuple(all_iterables[i][a[i]] for i in range(iterable_count)) + j = f[0] + f[0] = 0 + if j == iterable_count: + break + a[j] = a[j] + o[j] + if a[j] == 0 or a[j] == len(all_iterables[j]) - 1: + o[j] = -o[j] + f[j] = f[j + 1] + f[j + 1] = j + 1 + + +def partial_product(*iterables): + """Yields tuples containing one item from each iterator, with subsequent + tuples changing a single item at a time by advancing each iterator until it + is exhausted. This sequence guarantees every value in each iterable is + output at least once without generating all possible combinations. + + This may be useful, for example, when testing an expensive function. + + >>> list(partial_product('AB', 'C', 'DEF')) + [('A', 'C', 'D'), ('B', 'C', 'D'), ('B', 'C', 'E'), ('B', 'C', 'F')] + """ + + iterators = list(map(iter, iterables)) + + try: + prod = [next(it) for it in iterators] + except StopIteration: + return + yield tuple(prod) + + for i, it in enumerate(iterators): + for prod[i] in it: + yield tuple(prod) + + +def takewhile_inclusive(predicate, iterable): + """A variant of :func:`takewhile` that yields one additional element. + + >>> list(takewhile_inclusive(lambda x: x < 5, [1, 4, 6, 4, 1])) + [1, 4, 6] + + :func:`takewhile` would return ``[1, 4]``. + """ + for x in iterable: + yield x + if not predicate(x): + break + + +def outer_product(func, xs, ys, *args, **kwargs): + """A generalized outer product that applies a binary function to all + pairs of items. Returns a 2D matrix with ``len(xs)`` rows and ``len(ys)`` + columns. + Also accepts ``*args`` and ``**kwargs`` that are passed to ``func``. + + Multiplication table: + + >>> list(outer_product(mul, range(1, 4), range(1, 6))) + [(1, 2, 3, 4, 5), (2, 4, 6, 8, 10), (3, 6, 9, 12, 15)] + + Cross tabulation: + + >>> xs = ['A', 'B', 'A', 'A', 'B', 'B', 'A', 'A', 'B', 'B'] + >>> ys = ['X', 'X', 'X', 'Y', 'Z', 'Z', 'Y', 'Y', 'Z', 'Z'] + >>> pair_counts = Counter(zip(xs, ys)) + >>> count_rows = lambda x, y: pair_counts[x, y] + >>> list(outer_product(count_rows, sorted(set(xs)), sorted(set(ys)))) + [(2, 3, 0), (1, 0, 4)] + + Usage with ``*args`` and ``**kwargs``: + + >>> animals = ['cat', 'wolf', 'mouse'] + >>> list(outer_product(min, animals, animals, key=len)) + [('cat', 'cat', 'cat'), ('cat', 'wolf', 'wolf'), ('cat', 'wolf', 'mouse')] + """ + ys = tuple(ys) + return batched( + starmap(lambda x, y: func(x, y, *args, **kwargs), product(xs, ys)), + n=len(ys), + ) + + +def iter_suppress(iterable, *exceptions): + """Yield each of the items from *iterable*. If the iteration raises one of + the specified *exceptions*, that exception will be suppressed and iteration + will stop. + + >>> from itertools import chain + >>> def breaks_at_five(x): + ... while True: + ... if x >= 5: + ... raise RuntimeError + ... yield x + ... x += 1 + >>> it_1 = iter_suppress(breaks_at_five(1), RuntimeError) + >>> it_2 = iter_suppress(breaks_at_five(2), RuntimeError) + >>> list(chain(it_1, it_2)) + [1, 2, 3, 4, 2, 3, 4] + """ + try: + yield from iterable + except exceptions: + return + + +def filter_map(func, iterable): + """Apply *func* to every element of *iterable*, yielding only those which + are not ``None``. + + >>> elems = ['1', 'a', '2', 'b', '3'] + >>> list(filter_map(lambda s: int(s) if s.isnumeric() else None, elems)) + [1, 2, 3] + """ + for x in iterable: + y = func(x) + if y is not None: + yield y + + +def powerset_of_sets(iterable): + """Yields all possible subsets of the iterable. + + >>> list(powerset_of_sets([1, 2, 3])) # doctest: +SKIP + [set(), {1}, {2}, {3}, {1, 2}, {1, 3}, {2, 3}, {1, 2, 3}] + >>> list(powerset_of_sets([1, 1, 0])) # doctest: +SKIP + [set(), {1}, {0}, {0, 1}] + + :func:`powerset_of_sets` takes care to minimize the number + of hash operations performed. + """ + sets = tuple(dict.fromkeys(map(frozenset, zip(iterable)))) + return chain.from_iterable( + starmap(set().union, combinations(sets, r)) + for r in range(len(sets) + 1) + ) + + +def join_mappings(**field_to_map): + """ + Joins multiple mappings together using their common keys. + + >>> user_scores = {'elliot': 50, 'claris': 60} + >>> user_times = {'elliot': 30, 'claris': 40} + >>> join_mappings(score=user_scores, time=user_times) + {'elliot': {'score': 50, 'time': 30}, 'claris': {'score': 60, 'time': 40}} + """ + ret = defaultdict(dict) + + for field_name, mapping in field_to_map.items(): + for key, value in mapping.items(): + ret[key][field_name] = value + + return dict(ret) + + +def _complex_sumprod(v1, v2): + """High precision sumprod() for complex numbers. + Used by :func:`dft` and :func:`idft`. + """ + + real = attrgetter('real') + imag = attrgetter('imag') + r1 = chain(map(real, v1), map(neg, map(imag, v1))) + r2 = chain(map(real, v2), map(imag, v2)) + i1 = chain(map(real, v1), map(imag, v1)) + i2 = chain(map(imag, v2), map(real, v2)) + return complex(_fsumprod(r1, r2), _fsumprod(i1, i2)) + + +def dft(xarr): + """Discrete Fourier Transform. *xarr* is a sequence of complex numbers. + Yields the components of the corresponding transformed output vector. + + >>> import cmath + >>> xarr = [1, 2-1j, -1j, -1+2j] # time domain + >>> Xarr = [2, -2-2j, -2j, 4+4j] # frequency domain + >>> magnitudes, phases = zip(*map(cmath.polar, Xarr)) + >>> all(map(cmath.isclose, dft(xarr), Xarr)) + True + + Inputs are restricted to numeric types that can add and multiply + with a complex number. This includes int, float, complex, and + Fraction, but excludes Decimal. + + See :func:`idft` for the inverse Discrete Fourier Transform. + """ + N = len(xarr) + roots_of_unity = [e ** (n / N * tau * -1j) for n in range(N)] + for k in range(N): + coeffs = [roots_of_unity[k * n % N] for n in range(N)] + yield _complex_sumprod(xarr, coeffs) + + +def idft(Xarr): + """Inverse Discrete Fourier Transform. *Xarr* is a sequence of + complex numbers. Yields the components of the corresponding + inverse-transformed output vector. + + >>> import cmath + >>> xarr = [1, 2-1j, -1j, -1+2j] # time domain + >>> Xarr = [2, -2-2j, -2j, 4+4j] # frequency domain + >>> all(map(cmath.isclose, idft(Xarr), xarr)) + True + + Inputs are restricted to numeric types that can add and multiply + with a complex number. This includes int, float, complex, and + Fraction, but excludes Decimal. + + See :func:`dft` for the Discrete Fourier Transform. + """ + N = len(Xarr) + roots_of_unity = [e ** (n / N * tau * 1j) for n in range(N)] + for k in range(N): + coeffs = [roots_of_unity[k * n % N] for n in range(N)] + yield _complex_sumprod(Xarr, coeffs) / N + + +def doublestarmap(func, iterable): + """Apply *func* to every item of *iterable* by dictionary unpacking + the item into *func*. + + The difference between :func:`itertools.starmap` and :func:`doublestarmap` + parallels the distinction between ``func(*a)`` and ``func(**a)``. + + >>> iterable = [{'a': 1, 'b': 2}, {'a': 40, 'b': 60}] + >>> list(doublestarmap(lambda a, b: a + b, iterable)) + [3, 100] + + ``TypeError`` will be raised if *func*'s signature doesn't match the + mapping contained in *iterable* or if *iterable* does not contain mappings. + """ + for item in iterable: + yield func(**item) + + +def _nth_prime_bounds(n): + """Bounds for the nth prime (counting from 1): lb < p_n < ub.""" + # At and above 688,383, the lb/ub spread is under 0.003 * p_n. + + if n < 1: + raise ValueError + + if n < 6: + return (n, 2.25 * n) + + # https://en.wikipedia.org/wiki/Prime-counting_function#Inequalities + upper_bound = n * log(n * log(n)) + lower_bound = upper_bound - n + if n >= 688_383: + upper_bound -= n * (1.0 - (log(log(n)) - 2.0) / log(n)) + + return lower_bound, upper_bound + + +def nth_prime(n, *, approximate=False): + """Return the nth prime (counting from 0). + + >>> nth_prime(0) + 2 + >>> nth_prime(100) + 547 + + If *approximate* is set to True, will return a prime close + to the nth prime. The estimation is much faster than computing + an exact result. + + >>> nth_prime(200_000_000, approximate=True) # Exact result is 4222234763 + 4217820427 + + """ + lb, ub = _nth_prime_bounds(n + 1) + + if not approximate or n <= 1_000_000: + return nth(sieve(ceil(ub)), n) + + # Search from the midpoint and return the first odd prime + odd = floor((lb + ub) / 2) | 1 + return first_true(count(odd, step=2), pred=is_prime) + + +def argmin(iterable, *, key=None): + """ + Index of the first occurrence of a minimum value in an iterable. + + >>> argmin('efghabcdijkl') + 4 + >>> argmin([3, 2, 1, 0, 4, 2, 1, 0]) + 3 + + For example, look up a label corresponding to the position + of a value that minimizes a cost function:: + + >>> def cost(x): + ... "Days for a wound to heal given a subject's age." + ... return x**2 - 20*x + 150 + ... + >>> labels = ['homer', 'marge', 'bart', 'lisa', 'maggie'] + >>> ages = [ 35, 30, 10, 9, 1 ] + + # Fastest healing family member + >>> labels[argmin(ages, key=cost)] + 'bart' + + # Age with fastest healing + >>> min(ages, key=cost) + 10 + + """ + if key is not None: + iterable = map(key, iterable) + return min(enumerate(iterable), key=itemgetter(1))[0] + + +def argmax(iterable, *, key=None): + """ + Index of the first occurrence of a maximum value in an iterable. + + >>> argmax('abcdefghabcd') + 7 + >>> argmax([0, 1, 2, 3, 3, 2, 1, 0]) + 3 + + For example, identify the best machine learning model:: + + >>> models = ['svm', 'random forest', 'knn', 'naïve bayes'] + >>> accuracy = [ 68, 61, 84, 72 ] + + # Most accurate model + >>> models[argmax(accuracy)] + 'knn' + + # Best accuracy + >>> max(accuracy) + 84 + + """ + if key is not None: + iterable = map(key, iterable) + return max(enumerate(iterable), key=itemgetter(1))[0] + + +def extract(iterable, indices): + """Yield values at the specified indices. + + Example: + + >>> data = 'abcdefghijklmnopqrstuvwxyz' + >>> list(extract(data, [7, 4, 11, 11, 14])) + ['h', 'e', 'l', 'l', 'o'] + + The *iterable* is consumed lazily and can be infinite. + The *indices* are consumed immediately and must be finite. + + Raises ``IndexError`` if an index lies beyond the iterable. + Raises ``ValueError`` for negative indices. + """ + + iterator = iter(iterable) + index_and_position = sorted(zip(indices, count())) + + if index_and_position and index_and_position[0][0] < 0: + raise ValueError('Indices must be non-negative') + + buffer = {} + iterator_position = -1 + next_to_emit = 0 + + for index, order in index_and_position: + advance = index - iterator_position + if advance: + try: + value = next(islice(iterator, advance - 1, None)) + except StopIteration: + raise IndexError(index) + iterator_position = index + + buffer[order] = value + + while next_to_emit in buffer: + yield buffer.pop(next_to_emit) + next_to_emit += 1 diff --git a/python/Lib/site-packages/setuptools/_vendor/packaging-26.0.dist-info/licenses/LICENSE b/python/Lib/site-packages/setuptools/_vendor/packaging-26.0.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..6f62d44e4ef733c0e713afcd2371fed7f2b3de67 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/packaging-26.0.dist-info/licenses/LICENSE @@ -0,0 +1,3 @@ +This software is made available under the terms of *either* of the licenses +found in LICENSE.APACHE or LICENSE.BSD. Contributions to this software is made +under the terms of *both* these licenses. diff --git a/python/Lib/site-packages/setuptools/_vendor/packaging-26.0.dist-info/licenses/LICENSE.APACHE b/python/Lib/site-packages/setuptools/_vendor/packaging-26.0.dist-info/licenses/LICENSE.APACHE new file mode 100644 index 0000000000000000000000000000000000000000..f433b1a53f5b830a205fd2df78e2b34974656c7b --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/packaging-26.0.dist-info/licenses/LICENSE.APACHE @@ -0,0 +1,177 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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0000000000000000000000000000000000000000..30b7dbf6d3bd07d8772d01472b3933ad50074b1b Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/packaging/__pycache__/version.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/__init__.py b/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..335b275fa7575b0a7c525a713fbe0252ad2d956f --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/__init__.py @@ -0,0 +1,147 @@ +####################################################################################### +# +# Adapted from: +# https://github.com/pypa/hatch/blob/5352e44/backend/src/hatchling/licenses/parse.py +# +# MIT License +# +# Copyright (c) 2017-present Ofek Lev +# +# Permission is hereby granted, free of charge, to any person obtaining a copy of this +# software and associated documentation files (the "Software"), to deal in the Software +# without restriction, including without limitation the rights to use, copy, modify, +# merge, publish, distribute, sublicense, and/or sell copies of the Software, and to +# permit persons to whom the Software is furnished to do so, subject to the following +# conditions: +# +# The above copyright notice and this permission notice shall be included in all copies +# or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, +# INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A +# PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +# HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF +# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE +# OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# +# With additional allowance of arbitrary `LicenseRef-` identifiers, not just +# `LicenseRef-Public-Domain` and `LicenseRef-Proprietary`. +# +####################################################################################### +from __future__ import annotations + +import re +from typing import NewType, cast + +from ._spdx import EXCEPTIONS, LICENSES + +__all__ = [ + "InvalidLicenseExpression", + "NormalizedLicenseExpression", + "canonicalize_license_expression", +] + +license_ref_allowed = re.compile("^[A-Za-z0-9.-]*$") + +NormalizedLicenseExpression = NewType("NormalizedLicenseExpression", str) + + +class InvalidLicenseExpression(ValueError): + """Raised when a license-expression string is invalid + + >>> canonicalize_license_expression("invalid") + Traceback (most recent call last): + ... + packaging.licenses.InvalidLicenseExpression: Invalid license expression: 'invalid' + """ + + +def canonicalize_license_expression( + raw_license_expression: str, +) -> NormalizedLicenseExpression: + if not raw_license_expression: + message = f"Invalid license expression: {raw_license_expression!r}" + raise InvalidLicenseExpression(message) + + # Pad any parentheses so tokenization can be achieved by merely splitting on + # whitespace. + license_expression = raw_license_expression.replace("(", " ( ").replace(")", " ) ") + licenseref_prefix = "LicenseRef-" + license_refs = { + ref.lower(): "LicenseRef-" + ref[len(licenseref_prefix) :] + for ref in license_expression.split() + if ref.lower().startswith(licenseref_prefix.lower()) + } + + # Normalize to lower case so we can look up licenses/exceptions + # and so boolean operators are Python-compatible. + license_expression = license_expression.lower() + + tokens = license_expression.split() + + # Rather than implementing a parenthesis/boolean logic parser, create an + # expression that Python can parse. Everything that is not involved with the + # grammar itself is replaced with the placeholder `False` and the resultant + # expression should become a valid Python expression. + python_tokens = [] + for token in tokens: + if token not in {"or", "and", "with", "(", ")"}: + python_tokens.append("False") + elif token == "with": + python_tokens.append("or") + elif ( + token == "(" + and python_tokens + and python_tokens[-1] not in {"or", "and", "("} + ) or (token == ")" and python_tokens and python_tokens[-1] == "("): + message = f"Invalid license expression: {raw_license_expression!r}" + raise InvalidLicenseExpression(message) + else: + python_tokens.append(token) + + python_expression = " ".join(python_tokens) + try: + compile(python_expression, "", "eval") + except SyntaxError: + message = f"Invalid license expression: {raw_license_expression!r}" + raise InvalidLicenseExpression(message) from None + + # Take a final pass to check for unknown licenses/exceptions. + normalized_tokens = [] + for token in tokens: + if token in {"or", "and", "with", "(", ")"}: + normalized_tokens.append(token.upper()) + continue + + if normalized_tokens and normalized_tokens[-1] == "WITH": + if token not in EXCEPTIONS: + message = f"Unknown license exception: {token!r}" + raise InvalidLicenseExpression(message) + + normalized_tokens.append(EXCEPTIONS[token]["id"]) + else: + if token.endswith("+"): + final_token = token[:-1] + suffix = "+" + else: + final_token = token + suffix = "" + + if final_token.startswith("licenseref-"): + if not license_ref_allowed.match(final_token): + message = f"Invalid licenseref: {final_token!r}" + raise InvalidLicenseExpression(message) + normalized_tokens.append(license_refs[final_token] + suffix) + else: + if final_token not in LICENSES: + message = f"Unknown license: {final_token!r}" + raise InvalidLicenseExpression(message) + normalized_tokens.append(LICENSES[final_token]["id"] + suffix) + + normalized_expression = " ".join(normalized_tokens) + + return cast( + "NormalizedLicenseExpression", + normalized_expression.replace("( ", "(").replace(" )", ")"), + ) diff --git a/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/__pycache__/__init__.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/__pycache__/__init__.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..d7ec053076d9430ad7dc2ce066cd784646bc4ae0 Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/__pycache__/__init__.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/__pycache__/_spdx.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/__pycache__/_spdx.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a4c2cad8838abf619fcbe9357e0963395417fbca Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/__pycache__/_spdx.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/_spdx.py b/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/_spdx.py new file mode 100644 index 0000000000000000000000000000000000000000..a277af28220b6dbe4599471104d1c7a2bd1e1288 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/packaging/licenses/_spdx.py @@ -0,0 +1,799 @@ + +from __future__ import annotations + +from typing import TypedDict + +class SPDXLicense(TypedDict): + id: str + deprecated: bool + +class SPDXException(TypedDict): + id: str + deprecated: bool + + +VERSION = '3.27.0' + +LICENSES: dict[str, SPDXLicense] = { + '0bsd': {'id': '0BSD', 'deprecated': False}, + '3d-slicer-1.0': {'id': '3D-Slicer-1.0', 'deprecated': False}, + 'aal': {'id': 'AAL', 'deprecated': False}, + 'abstyles': {'id': 'Abstyles', 'deprecated': False}, + 'adacore-doc': {'id': 'AdaCore-doc', 'deprecated': False}, + 'adobe-2006': {'id': 'Adobe-2006', 'deprecated': False}, + 'adobe-display-postscript': {'id': 'Adobe-Display-PostScript', 'deprecated': False}, + 'adobe-glyph': {'id': 'Adobe-Glyph', 'deprecated': False}, + 'adobe-utopia': {'id': 'Adobe-Utopia', 'deprecated': False}, + 'adsl': {'id': 'ADSL', 'deprecated': False}, + 'afl-1.1': {'id': 'AFL-1.1', 'deprecated': False}, + 'afl-1.2': {'id': 'AFL-1.2', 'deprecated': False}, + 'afl-2.0': {'id': 'AFL-2.0', 'deprecated': False}, + 'afl-2.1': {'id': 'AFL-2.1', 'deprecated': False}, + 'afl-3.0': {'id': 'AFL-3.0', 'deprecated': False}, + 'afmparse': {'id': 'Afmparse', 'deprecated': False}, + 'agpl-1.0': {'id': 'AGPL-1.0', 'deprecated': True}, + 'agpl-1.0-only': {'id': 'AGPL-1.0-only', 'deprecated': False}, + 'agpl-1.0-or-later': {'id': 'AGPL-1.0-or-later', 'deprecated': False}, + 'agpl-3.0': {'id': 'AGPL-3.0', 'deprecated': True}, + 'agpl-3.0-only': {'id': 'AGPL-3.0-only', 'deprecated': False}, + 'agpl-3.0-or-later': {'id': 'AGPL-3.0-or-later', 'deprecated': False}, + 'aladdin': {'id': 'Aladdin', 'deprecated': False}, + 'amd-newlib': {'id': 'AMD-newlib', 'deprecated': False}, + 'amdplpa': {'id': 'AMDPLPA', 'deprecated': False}, + 'aml': {'id': 'AML', 'deprecated': False}, + 'aml-glslang': {'id': 'AML-glslang', 'deprecated': False}, + 'ampas': {'id': 'AMPAS', 'deprecated': False}, + 'antlr-pd': {'id': 'ANTLR-PD', 'deprecated': False}, + 'antlr-pd-fallback': {'id': 'ANTLR-PD-fallback', 'deprecated': False}, + 'any-osi': {'id': 'any-OSI', 'deprecated': False}, + 'any-osi-perl-modules': {'id': 'any-OSI-perl-modules', 'deprecated': False}, + 'apache-1.0': {'id': 'Apache-1.0', 'deprecated': False}, + 'apache-1.1': {'id': 'Apache-1.1', 'deprecated': False}, + 'apache-2.0': {'id': 'Apache-2.0', 'deprecated': False}, + 'apafml': {'id': 'APAFML', 'deprecated': False}, + 'apl-1.0': {'id': 'APL-1.0', 'deprecated': False}, + 'app-s2p': {'id': 'App-s2p', 'deprecated': False}, + 'apsl-1.0': {'id': 'APSL-1.0', 'deprecated': False}, + 'apsl-1.1': {'id': 'APSL-1.1', 'deprecated': False}, + 'apsl-1.2': {'id': 'APSL-1.2', 'deprecated': False}, + 'apsl-2.0': {'id': 'APSL-2.0', 'deprecated': False}, + 'arphic-1999': {'id': 'Arphic-1999', 'deprecated': False}, + 'artistic-1.0': {'id': 'Artistic-1.0', 'deprecated': False}, + 'artistic-1.0-cl8': {'id': 'Artistic-1.0-cl8', 'deprecated': False}, + 'artistic-1.0-perl': {'id': 'Artistic-1.0-Perl', 'deprecated': False}, + 'artistic-2.0': {'id': 'Artistic-2.0', 'deprecated': False}, + 'artistic-dist': {'id': 'Artistic-dist', 'deprecated': False}, + 'aspell-ru': {'id': 'Aspell-RU', 'deprecated': False}, + 'aswf-digital-assets-1.0': {'id': 'ASWF-Digital-Assets-1.0', 'deprecated': False}, + 'aswf-digital-assets-1.1': {'id': 'ASWF-Digital-Assets-1.1', 'deprecated': False}, + 'baekmuk': {'id': 'Baekmuk', 'deprecated': False}, + 'bahyph': {'id': 'Bahyph', 'deprecated': False}, + 'barr': {'id': 'Barr', 'deprecated': False}, + 'bcrypt-solar-designer': {'id': 'bcrypt-Solar-Designer', 'deprecated': False}, + 'beerware': {'id': 'Beerware', 'deprecated': False}, + 'bitstream-charter': {'id': 'Bitstream-Charter', 'deprecated': False}, + 'bitstream-vera': {'id': 'Bitstream-Vera', 'deprecated': False}, + 'bittorrent-1.0': {'id': 'BitTorrent-1.0', 'deprecated': False}, + 'bittorrent-1.1': {'id': 'BitTorrent-1.1', 'deprecated': False}, + 'blessing': {'id': 'blessing', 'deprecated': False}, + 'blueoak-1.0.0': {'id': 'BlueOak-1.0.0', 'deprecated': False}, + 'boehm-gc': {'id': 'Boehm-GC', 'deprecated': False}, + 'boehm-gc-without-fee': {'id': 'Boehm-GC-without-fee', 'deprecated': False}, + 'borceux': {'id': 'Borceux', 'deprecated': False}, + 'brian-gladman-2-clause': {'id': 'Brian-Gladman-2-Clause', 'deprecated': False}, + 'brian-gladman-3-clause': {'id': 'Brian-Gladman-3-Clause', 'deprecated': False}, + 'bsd-1-clause': {'id': 'BSD-1-Clause', 'deprecated': False}, + 'bsd-2-clause': {'id': 'BSD-2-Clause', 'deprecated': False}, + 'bsd-2-clause-darwin': {'id': 'BSD-2-Clause-Darwin', 'deprecated': False}, + 'bsd-2-clause-first-lines': {'id': 'BSD-2-Clause-first-lines', 'deprecated': False}, + 'bsd-2-clause-freebsd': {'id': 'BSD-2-Clause-FreeBSD', 'deprecated': True}, + 'bsd-2-clause-netbsd': {'id': 'BSD-2-Clause-NetBSD', 'deprecated': True}, + 'bsd-2-clause-patent': {'id': 'BSD-2-Clause-Patent', 'deprecated': False}, + 'bsd-2-clause-pkgconf-disclaimer': {'id': 'BSD-2-Clause-pkgconf-disclaimer', 'deprecated': False}, + 'bsd-2-clause-views': {'id': 'BSD-2-Clause-Views', 'deprecated': False}, + 'bsd-3-clause': {'id': 'BSD-3-Clause', 'deprecated': False}, + 'bsd-3-clause-acpica': {'id': 'BSD-3-Clause-acpica', 'deprecated': False}, + 'bsd-3-clause-attribution': {'id': 'BSD-3-Clause-Attribution', 'deprecated': False}, + 'bsd-3-clause-clear': {'id': 'BSD-3-Clause-Clear', 'deprecated': False}, + 'bsd-3-clause-flex': {'id': 'BSD-3-Clause-flex', 'deprecated': False}, + 'bsd-3-clause-hp': {'id': 'BSD-3-Clause-HP', 'deprecated': False}, + 'bsd-3-clause-lbnl': {'id': 'BSD-3-Clause-LBNL', 'deprecated': False}, + 'bsd-3-clause-modification': {'id': 'BSD-3-Clause-Modification', 'deprecated': False}, + 'bsd-3-clause-no-military-license': {'id': 'BSD-3-Clause-No-Military-License', 'deprecated': False}, + 'bsd-3-clause-no-nuclear-license': {'id': 'BSD-3-Clause-No-Nuclear-License', 'deprecated': False}, + 'bsd-3-clause-no-nuclear-license-2014': {'id': 'BSD-3-Clause-No-Nuclear-License-2014', 'deprecated': False}, + 'bsd-3-clause-no-nuclear-warranty': {'id': 'BSD-3-Clause-No-Nuclear-Warranty', 'deprecated': False}, + 'bsd-3-clause-open-mpi': {'id': 'BSD-3-Clause-Open-MPI', 'deprecated': False}, + 'bsd-3-clause-sun': {'id': 'BSD-3-Clause-Sun', 'deprecated': False}, + 'bsd-4-clause': {'id': 'BSD-4-Clause', 'deprecated': False}, + 'bsd-4-clause-shortened': {'id': 'BSD-4-Clause-Shortened', 'deprecated': False}, + 'bsd-4-clause-uc': {'id': 'BSD-4-Clause-UC', 'deprecated': False}, + 'bsd-4.3reno': {'id': 'BSD-4.3RENO', 'deprecated': False}, + 'bsd-4.3tahoe': {'id': 'BSD-4.3TAHOE', 'deprecated': False}, + 'bsd-advertising-acknowledgement': {'id': 'BSD-Advertising-Acknowledgement', 'deprecated': False}, + 'bsd-attribution-hpnd-disclaimer': {'id': 'BSD-Attribution-HPND-disclaimer', 'deprecated': False}, + 'bsd-inferno-nettverk': {'id': 'BSD-Inferno-Nettverk', 'deprecated': False}, + 'bsd-protection': {'id': 'BSD-Protection', 'deprecated': False}, + 'bsd-source-beginning-file': {'id': 'BSD-Source-beginning-file', 'deprecated': False}, + 'bsd-source-code': {'id': 'BSD-Source-Code', 'deprecated': False}, + 'bsd-systemics': {'id': 'BSD-Systemics', 'deprecated': False}, + 'bsd-systemics-w3works': {'id': 'BSD-Systemics-W3Works', 'deprecated': False}, + 'bsl-1.0': {'id': 'BSL-1.0', 'deprecated': False}, + 'busl-1.1': {'id': 'BUSL-1.1', 'deprecated': False}, + 'bzip2-1.0.5': {'id': 'bzip2-1.0.5', 'deprecated': True}, + 'bzip2-1.0.6': {'id': 'bzip2-1.0.6', 'deprecated': False}, + 'c-uda-1.0': {'id': 'C-UDA-1.0', 'deprecated': False}, + 'cal-1.0': {'id': 'CAL-1.0', 'deprecated': False}, + 'cal-1.0-combined-work-exception': {'id': 'CAL-1.0-Combined-Work-Exception', 'deprecated': False}, + 'caldera': {'id': 'Caldera', 'deprecated': False}, + 'caldera-no-preamble': {'id': 'Caldera-no-preamble', 'deprecated': False}, + 'catharon': {'id': 'Catharon', 'deprecated': False}, + 'catosl-1.1': {'id': 'CATOSL-1.1', 'deprecated': False}, + 'cc-by-1.0': {'id': 'CC-BY-1.0', 'deprecated': False}, + 'cc-by-2.0': {'id': 'CC-BY-2.0', 'deprecated': False}, + 'cc-by-2.5': {'id': 'CC-BY-2.5', 'deprecated': False}, + 'cc-by-2.5-au': {'id': 'CC-BY-2.5-AU', 'deprecated': False}, + 'cc-by-3.0': {'id': 'CC-BY-3.0', 'deprecated': False}, + 'cc-by-3.0-at': {'id': 'CC-BY-3.0-AT', 'deprecated': False}, + 'cc-by-3.0-au': {'id': 'CC-BY-3.0-AU', 'deprecated': False}, + 'cc-by-3.0-de': {'id': 'CC-BY-3.0-DE', 'deprecated': False}, + 'cc-by-3.0-igo': {'id': 'CC-BY-3.0-IGO', 'deprecated': False}, + 'cc-by-3.0-nl': {'id': 'CC-BY-3.0-NL', 'deprecated': False}, + 'cc-by-3.0-us': {'id': 'CC-BY-3.0-US', 'deprecated': False}, + 'cc-by-4.0': {'id': 'CC-BY-4.0', 'deprecated': False}, + 'cc-by-nc-1.0': {'id': 'CC-BY-NC-1.0', 'deprecated': False}, + 'cc-by-nc-2.0': {'id': 'CC-BY-NC-2.0', 'deprecated': False}, + 'cc-by-nc-2.5': {'id': 'CC-BY-NC-2.5', 'deprecated': False}, + 'cc-by-nc-3.0': {'id': 'CC-BY-NC-3.0', 'deprecated': False}, + 'cc-by-nc-3.0-de': {'id': 'CC-BY-NC-3.0-DE', 'deprecated': False}, + 'cc-by-nc-4.0': {'id': 'CC-BY-NC-4.0', 'deprecated': False}, + 'cc-by-nc-nd-1.0': {'id': 'CC-BY-NC-ND-1.0', 'deprecated': False}, + 'cc-by-nc-nd-2.0': {'id': 'CC-BY-NC-ND-2.0', 'deprecated': False}, + 'cc-by-nc-nd-2.5': {'id': 'CC-BY-NC-ND-2.5', 'deprecated': False}, + 'cc-by-nc-nd-3.0': {'id': 'CC-BY-NC-ND-3.0', 'deprecated': False}, + 'cc-by-nc-nd-3.0-de': {'id': 'CC-BY-NC-ND-3.0-DE', 'deprecated': False}, + 'cc-by-nc-nd-3.0-igo': {'id': 'CC-BY-NC-ND-3.0-IGO', 'deprecated': False}, + 'cc-by-nc-nd-4.0': {'id': 'CC-BY-NC-ND-4.0', 'deprecated': False}, + 'cc-by-nc-sa-1.0': {'id': 'CC-BY-NC-SA-1.0', 'deprecated': False}, + 'cc-by-nc-sa-2.0': {'id': 'CC-BY-NC-SA-2.0', 'deprecated': False}, + 'cc-by-nc-sa-2.0-de': {'id': 'CC-BY-NC-SA-2.0-DE', 'deprecated': False}, + 'cc-by-nc-sa-2.0-fr': {'id': 'CC-BY-NC-SA-2.0-FR', 'deprecated': False}, + 'cc-by-nc-sa-2.0-uk': {'id': 'CC-BY-NC-SA-2.0-UK', 'deprecated': False}, + 'cc-by-nc-sa-2.5': {'id': 'CC-BY-NC-SA-2.5', 'deprecated': False}, + 'cc-by-nc-sa-3.0': {'id': 'CC-BY-NC-SA-3.0', 'deprecated': False}, + 'cc-by-nc-sa-3.0-de': {'id': 'CC-BY-NC-SA-3.0-DE', 'deprecated': False}, + 'cc-by-nc-sa-3.0-igo': {'id': 'CC-BY-NC-SA-3.0-IGO', 'deprecated': False}, + 'cc-by-nc-sa-4.0': {'id': 'CC-BY-NC-SA-4.0', 'deprecated': False}, + 'cc-by-nd-1.0': {'id': 'CC-BY-ND-1.0', 'deprecated': False}, + 'cc-by-nd-2.0': {'id': 'CC-BY-ND-2.0', 'deprecated': False}, + 'cc-by-nd-2.5': {'id': 'CC-BY-ND-2.5', 'deprecated': False}, + 'cc-by-nd-3.0': {'id': 'CC-BY-ND-3.0', 'deprecated': False}, + 'cc-by-nd-3.0-de': {'id': 'CC-BY-ND-3.0-DE', 'deprecated': False}, + 'cc-by-nd-4.0': {'id': 'CC-BY-ND-4.0', 'deprecated': False}, + 'cc-by-sa-1.0': {'id': 'CC-BY-SA-1.0', 'deprecated': False}, + 'cc-by-sa-2.0': {'id': 'CC-BY-SA-2.0', 'deprecated': False}, + 'cc-by-sa-2.0-uk': {'id': 'CC-BY-SA-2.0-UK', 'deprecated': False}, + 'cc-by-sa-2.1-jp': {'id': 'CC-BY-SA-2.1-JP', 'deprecated': False}, + 'cc-by-sa-2.5': {'id': 'CC-BY-SA-2.5', 'deprecated': False}, + 'cc-by-sa-3.0': {'id': 'CC-BY-SA-3.0', 'deprecated': False}, + 'cc-by-sa-3.0-at': {'id': 'CC-BY-SA-3.0-AT', 'deprecated': False}, + 'cc-by-sa-3.0-de': {'id': 'CC-BY-SA-3.0-DE', 'deprecated': False}, + 'cc-by-sa-3.0-igo': {'id': 'CC-BY-SA-3.0-IGO', 'deprecated': False}, + 'cc-by-sa-4.0': {'id': 'CC-BY-SA-4.0', 'deprecated': False}, + 'cc-pddc': {'id': 'CC-PDDC', 'deprecated': False}, + 'cc-pdm-1.0': {'id': 'CC-PDM-1.0', 'deprecated': False}, + 'cc-sa-1.0': {'id': 'CC-SA-1.0', 'deprecated': False}, + 'cc0-1.0': {'id': 'CC0-1.0', 'deprecated': False}, + 'cddl-1.0': {'id': 'CDDL-1.0', 'deprecated': False}, + 'cddl-1.1': {'id': 'CDDL-1.1', 'deprecated': False}, + 'cdl-1.0': {'id': 'CDL-1.0', 'deprecated': False}, + 'cdla-permissive-1.0': {'id': 'CDLA-Permissive-1.0', 'deprecated': False}, + 'cdla-permissive-2.0': {'id': 'CDLA-Permissive-2.0', 'deprecated': False}, + 'cdla-sharing-1.0': {'id': 'CDLA-Sharing-1.0', 'deprecated': False}, + 'cecill-1.0': {'id': 'CECILL-1.0', 'deprecated': False}, + 'cecill-1.1': {'id': 'CECILL-1.1', 'deprecated': False}, + 'cecill-2.0': {'id': 'CECILL-2.0', 'deprecated': False}, + 'cecill-2.1': {'id': 'CECILL-2.1', 'deprecated': False}, + 'cecill-b': {'id': 'CECILL-B', 'deprecated': False}, + 'cecill-c': {'id': 'CECILL-C', 'deprecated': False}, + 'cern-ohl-1.1': {'id': 'CERN-OHL-1.1', 'deprecated': False}, + 'cern-ohl-1.2': {'id': 'CERN-OHL-1.2', 'deprecated': False}, + 'cern-ohl-p-2.0': {'id': 'CERN-OHL-P-2.0', 'deprecated': False}, + 'cern-ohl-s-2.0': {'id': 'CERN-OHL-S-2.0', 'deprecated': False}, + 'cern-ohl-w-2.0': {'id': 'CERN-OHL-W-2.0', 'deprecated': False}, + 'cfitsio': {'id': 'CFITSIO', 'deprecated': False}, + 'check-cvs': {'id': 'check-cvs', 'deprecated': False}, + 'checkmk': {'id': 'checkmk', 'deprecated': False}, + 'clartistic': {'id': 'ClArtistic', 'deprecated': False}, + 'clips': {'id': 'Clips', 'deprecated': False}, + 'cmu-mach': {'id': 'CMU-Mach', 'deprecated': False}, + 'cmu-mach-nodoc': {'id': 'CMU-Mach-nodoc', 'deprecated': False}, + 'cnri-jython': {'id': 'CNRI-Jython', 'deprecated': False}, + 'cnri-python': {'id': 'CNRI-Python', 'deprecated': False}, + 'cnri-python-gpl-compatible': {'id': 'CNRI-Python-GPL-Compatible', 'deprecated': False}, + 'coil-1.0': {'id': 'COIL-1.0', 'deprecated': False}, + 'community-spec-1.0': {'id': 'Community-Spec-1.0', 'deprecated': False}, + 'condor-1.1': {'id': 'Condor-1.1', 'deprecated': False}, + 'copyleft-next-0.3.0': {'id': 'copyleft-next-0.3.0', 'deprecated': False}, + 'copyleft-next-0.3.1': {'id': 'copyleft-next-0.3.1', 'deprecated': False}, + 'cornell-lossless-jpeg': {'id': 'Cornell-Lossless-JPEG', 'deprecated': False}, + 'cpal-1.0': {'id': 'CPAL-1.0', 'deprecated': False}, + 'cpl-1.0': {'id': 'CPL-1.0', 'deprecated': False}, + 'cpol-1.02': {'id': 'CPOL-1.02', 'deprecated': False}, + 'cronyx': {'id': 'Cronyx', 'deprecated': False}, + 'crossword': {'id': 'Crossword', 'deprecated': False}, + 'cryptoswift': {'id': 'CryptoSwift', 'deprecated': False}, + 'crystalstacker': {'id': 'CrystalStacker', 'deprecated': False}, + 'cua-opl-1.0': {'id': 'CUA-OPL-1.0', 'deprecated': False}, + 'cube': {'id': 'Cube', 'deprecated': False}, + 'curl': {'id': 'curl', 'deprecated': False}, + 'cve-tou': {'id': 'cve-tou', 'deprecated': False}, + 'd-fsl-1.0': {'id': 'D-FSL-1.0', 'deprecated': False}, + 'dec-3-clause': {'id': 'DEC-3-Clause', 'deprecated': False}, + 'diffmark': {'id': 'diffmark', 'deprecated': False}, + 'dl-de-by-2.0': {'id': 'DL-DE-BY-2.0', 'deprecated': False}, + 'dl-de-zero-2.0': {'id': 'DL-DE-ZERO-2.0', 'deprecated': False}, + 'doc': {'id': 'DOC', 'deprecated': False}, + 'docbook-dtd': {'id': 'DocBook-DTD', 'deprecated': False}, + 'docbook-schema': {'id': 'DocBook-Schema', 'deprecated': False}, + 'docbook-stylesheet': {'id': 'DocBook-Stylesheet', 'deprecated': False}, + 'docbook-xml': {'id': 'DocBook-XML', 'deprecated': False}, + 'dotseqn': {'id': 'Dotseqn', 'deprecated': False}, + 'drl-1.0': {'id': 'DRL-1.0', 'deprecated': False}, + 'drl-1.1': {'id': 'DRL-1.1', 'deprecated': False}, + 'dsdp': {'id': 'DSDP', 'deprecated': False}, + 'dtoa': {'id': 'dtoa', 'deprecated': False}, + 'dvipdfm': {'id': 'dvipdfm', 'deprecated': False}, + 'ecl-1.0': {'id': 'ECL-1.0', 'deprecated': False}, + 'ecl-2.0': {'id': 'ECL-2.0', 'deprecated': False}, + 'ecos-2.0': {'id': 'eCos-2.0', 'deprecated': True}, + 'efl-1.0': {'id': 'EFL-1.0', 'deprecated': False}, + 'efl-2.0': {'id': 'EFL-2.0', 'deprecated': False}, + 'egenix': {'id': 'eGenix', 'deprecated': False}, + 'elastic-2.0': {'id': 'Elastic-2.0', 'deprecated': False}, + 'entessa': {'id': 'Entessa', 'deprecated': False}, + 'epics': {'id': 'EPICS', 'deprecated': False}, + 'epl-1.0': {'id': 'EPL-1.0', 'deprecated': False}, + 'epl-2.0': {'id': 'EPL-2.0', 'deprecated': False}, + 'erlpl-1.1': {'id': 'ErlPL-1.1', 'deprecated': False}, + 'etalab-2.0': {'id': 'etalab-2.0', 'deprecated': False}, + 'eudatagrid': {'id': 'EUDatagrid', 'deprecated': False}, + 'eupl-1.0': {'id': 'EUPL-1.0', 'deprecated': False}, + 'eupl-1.1': {'id': 'EUPL-1.1', 'deprecated': False}, + 'eupl-1.2': {'id': 'EUPL-1.2', 'deprecated': False}, + 'eurosym': {'id': 'Eurosym', 'deprecated': False}, + 'fair': {'id': 'Fair', 'deprecated': False}, + 'fbm': {'id': 'FBM', 'deprecated': False}, + 'fdk-aac': {'id': 'FDK-AAC', 'deprecated': False}, + 'ferguson-twofish': {'id': 'Ferguson-Twofish', 'deprecated': False}, + 'frameworx-1.0': {'id': 'Frameworx-1.0', 'deprecated': False}, + 'freebsd-doc': {'id': 'FreeBSD-DOC', 'deprecated': False}, + 'freeimage': {'id': 'FreeImage', 'deprecated': False}, + 'fsfap': {'id': 'FSFAP', 'deprecated': False}, + 'fsfap-no-warranty-disclaimer': {'id': 'FSFAP-no-warranty-disclaimer', 'deprecated': False}, + 'fsful': {'id': 'FSFUL', 'deprecated': False}, + 'fsfullr': {'id': 'FSFULLR', 'deprecated': False}, + 'fsfullrsd': {'id': 'FSFULLRSD', 'deprecated': False}, + 'fsfullrwd': {'id': 'FSFULLRWD', 'deprecated': False}, + 'fsl-1.1-alv2': {'id': 'FSL-1.1-ALv2', 'deprecated': False}, + 'fsl-1.1-mit': {'id': 'FSL-1.1-MIT', 'deprecated': False}, + 'ftl': {'id': 'FTL', 'deprecated': False}, + 'furuseth': {'id': 'Furuseth', 'deprecated': False}, + 'fwlw': {'id': 'fwlw', 'deprecated': False}, + 'game-programming-gems': {'id': 'Game-Programming-Gems', 'deprecated': False}, + 'gcr-docs': {'id': 'GCR-docs', 'deprecated': False}, + 'gd': {'id': 'GD', 'deprecated': False}, + 'generic-xts': {'id': 'generic-xts', 'deprecated': False}, + 'gfdl-1.1': {'id': 'GFDL-1.1', 'deprecated': True}, + 'gfdl-1.1-invariants-only': {'id': 'GFDL-1.1-invariants-only', 'deprecated': False}, + 'gfdl-1.1-invariants-or-later': {'id': 'GFDL-1.1-invariants-or-later', 'deprecated': False}, + 'gfdl-1.1-no-invariants-only': {'id': 'GFDL-1.1-no-invariants-only', 'deprecated': False}, + 'gfdl-1.1-no-invariants-or-later': {'id': 'GFDL-1.1-no-invariants-or-later', 'deprecated': False}, + 'gfdl-1.1-only': {'id': 'GFDL-1.1-only', 'deprecated': False}, + 'gfdl-1.1-or-later': {'id': 'GFDL-1.1-or-later', 'deprecated': False}, + 'gfdl-1.2': {'id': 'GFDL-1.2', 'deprecated': True}, + 'gfdl-1.2-invariants-only': {'id': 'GFDL-1.2-invariants-only', 'deprecated': False}, + 'gfdl-1.2-invariants-or-later': {'id': 'GFDL-1.2-invariants-or-later', 'deprecated': False}, + 'gfdl-1.2-no-invariants-only': {'id': 'GFDL-1.2-no-invariants-only', 'deprecated': False}, + 'gfdl-1.2-no-invariants-or-later': {'id': 'GFDL-1.2-no-invariants-or-later', 'deprecated': False}, + 'gfdl-1.2-only': {'id': 'GFDL-1.2-only', 'deprecated': False}, + 'gfdl-1.2-or-later': {'id': 'GFDL-1.2-or-later', 'deprecated': False}, + 'gfdl-1.3': {'id': 'GFDL-1.3', 'deprecated': True}, + 'gfdl-1.3-invariants-only': {'id': 'GFDL-1.3-invariants-only', 'deprecated': False}, + 'gfdl-1.3-invariants-or-later': {'id': 'GFDL-1.3-invariants-or-later', 'deprecated': False}, + 'gfdl-1.3-no-invariants-only': {'id': 'GFDL-1.3-no-invariants-only', 'deprecated': False}, + 'gfdl-1.3-no-invariants-or-later': {'id': 'GFDL-1.3-no-invariants-or-later', 'deprecated': False}, + 'gfdl-1.3-only': {'id': 'GFDL-1.3-only', 'deprecated': False}, + 'gfdl-1.3-or-later': {'id': 'GFDL-1.3-or-later', 'deprecated': False}, + 'giftware': {'id': 'Giftware', 'deprecated': False}, + 'gl2ps': {'id': 'GL2PS', 'deprecated': False}, + 'glide': {'id': 'Glide', 'deprecated': False}, + 'glulxe': {'id': 'Glulxe', 'deprecated': False}, + 'glwtpl': {'id': 'GLWTPL', 'deprecated': False}, + 'gnuplot': {'id': 'gnuplot', 'deprecated': False}, + 'gpl-1.0': {'id': 'GPL-1.0', 'deprecated': True}, + 'gpl-1.0+': {'id': 'GPL-1.0+', 'deprecated': True}, + 'gpl-1.0-only': {'id': 'GPL-1.0-only', 'deprecated': False}, + 'gpl-1.0-or-later': {'id': 'GPL-1.0-or-later', 'deprecated': False}, + 'gpl-2.0': {'id': 'GPL-2.0', 'deprecated': True}, + 'gpl-2.0+': {'id': 'GPL-2.0+', 'deprecated': True}, + 'gpl-2.0-only': {'id': 'GPL-2.0-only', 'deprecated': False}, + 'gpl-2.0-or-later': {'id': 'GPL-2.0-or-later', 'deprecated': False}, + 'gpl-2.0-with-autoconf-exception': {'id': 'GPL-2.0-with-autoconf-exception', 'deprecated': True}, + 'gpl-2.0-with-bison-exception': {'id': 'GPL-2.0-with-bison-exception', 'deprecated': True}, + 'gpl-2.0-with-classpath-exception': {'id': 'GPL-2.0-with-classpath-exception', 'deprecated': True}, + 'gpl-2.0-with-font-exception': {'id': 'GPL-2.0-with-font-exception', 'deprecated': True}, + 'gpl-2.0-with-gcc-exception': {'id': 'GPL-2.0-with-GCC-exception', 'deprecated': True}, + 'gpl-3.0': {'id': 'GPL-3.0', 'deprecated': True}, + 'gpl-3.0+': {'id': 'GPL-3.0+', 'deprecated': True}, + 'gpl-3.0-only': {'id': 'GPL-3.0-only', 'deprecated': False}, + 'gpl-3.0-or-later': {'id': 'GPL-3.0-or-later', 'deprecated': False}, + 'gpl-3.0-with-autoconf-exception': {'id': 'GPL-3.0-with-autoconf-exception', 'deprecated': True}, + 'gpl-3.0-with-gcc-exception': {'id': 'GPL-3.0-with-GCC-exception', 'deprecated': True}, + 'graphics-gems': {'id': 'Graphics-Gems', 'deprecated': False}, + 'gsoap-1.3b': {'id': 'gSOAP-1.3b', 'deprecated': False}, + 'gtkbook': {'id': 'gtkbook', 'deprecated': False}, + 'gutmann': {'id': 'Gutmann', 'deprecated': False}, + 'haskellreport': {'id': 'HaskellReport', 'deprecated': False}, + 'hdf5': {'id': 'HDF5', 'deprecated': False}, + 'hdparm': {'id': 'hdparm', 'deprecated': False}, + 'hidapi': {'id': 'HIDAPI', 'deprecated': False}, + 'hippocratic-2.1': {'id': 'Hippocratic-2.1', 'deprecated': False}, + 'hp-1986': {'id': 'HP-1986', 'deprecated': False}, + 'hp-1989': {'id': 'HP-1989', 'deprecated': False}, + 'hpnd': {'id': 'HPND', 'deprecated': False}, + 'hpnd-dec': {'id': 'HPND-DEC', 'deprecated': False}, + 'hpnd-doc': {'id': 'HPND-doc', 'deprecated': False}, + 'hpnd-doc-sell': {'id': 'HPND-doc-sell', 'deprecated': False}, + 'hpnd-export-us': {'id': 'HPND-export-US', 'deprecated': False}, + 'hpnd-export-us-acknowledgement': {'id': 'HPND-export-US-acknowledgement', 'deprecated': False}, + 'hpnd-export-us-modify': {'id': 'HPND-export-US-modify', 'deprecated': False}, + 'hpnd-export2-us': {'id': 'HPND-export2-US', 'deprecated': False}, + 'hpnd-fenneberg-livingston': {'id': 'HPND-Fenneberg-Livingston', 'deprecated': False}, + 'hpnd-inria-imag': {'id': 'HPND-INRIA-IMAG', 'deprecated': False}, + 'hpnd-intel': {'id': 'HPND-Intel', 'deprecated': False}, + 'hpnd-kevlin-henney': {'id': 'HPND-Kevlin-Henney', 'deprecated': False}, + 'hpnd-markus-kuhn': {'id': 'HPND-Markus-Kuhn', 'deprecated': False}, + 'hpnd-merchantability-variant': {'id': 'HPND-merchantability-variant', 'deprecated': False}, + 'hpnd-mit-disclaimer': {'id': 'HPND-MIT-disclaimer', 'deprecated': False}, + 'hpnd-netrek': {'id': 'HPND-Netrek', 'deprecated': False}, + 'hpnd-pbmplus': {'id': 'HPND-Pbmplus', 'deprecated': False}, + 'hpnd-sell-mit-disclaimer-xserver': {'id': 'HPND-sell-MIT-disclaimer-xserver', 'deprecated': False}, + 'hpnd-sell-regexpr': {'id': 'HPND-sell-regexpr', 'deprecated': False}, + 'hpnd-sell-variant': {'id': 'HPND-sell-variant', 'deprecated': False}, + 'hpnd-sell-variant-mit-disclaimer': {'id': 'HPND-sell-variant-MIT-disclaimer', 'deprecated': False}, + 'hpnd-sell-variant-mit-disclaimer-rev': {'id': 'HPND-sell-variant-MIT-disclaimer-rev', 'deprecated': False}, + 'hpnd-uc': {'id': 'HPND-UC', 'deprecated': False}, + 'hpnd-uc-export-us': {'id': 'HPND-UC-export-US', 'deprecated': False}, + 'htmltidy': {'id': 'HTMLTIDY', 'deprecated': False}, + 'ibm-pibs': {'id': 'IBM-pibs', 'deprecated': False}, + 'icu': {'id': 'ICU', 'deprecated': False}, + 'iec-code-components-eula': {'id': 'IEC-Code-Components-EULA', 'deprecated': False}, + 'ijg': {'id': 'IJG', 'deprecated': False}, + 'ijg-short': {'id': 'IJG-short', 'deprecated': False}, + 'imagemagick': {'id': 'ImageMagick', 'deprecated': False}, + 'imatix': {'id': 'iMatix', 'deprecated': False}, + 'imlib2': {'id': 'Imlib2', 'deprecated': False}, + 'info-zip': {'id': 'Info-ZIP', 'deprecated': False}, + 'inner-net-2.0': {'id': 'Inner-Net-2.0', 'deprecated': False}, + 'innosetup': {'id': 'InnoSetup', 'deprecated': False}, + 'intel': {'id': 'Intel', 'deprecated': False}, + 'intel-acpi': {'id': 'Intel-ACPI', 'deprecated': False}, + 'interbase-1.0': {'id': 'Interbase-1.0', 'deprecated': False}, + 'ipa': {'id': 'IPA', 'deprecated': False}, + 'ipl-1.0': {'id': 'IPL-1.0', 'deprecated': False}, + 'isc': {'id': 'ISC', 'deprecated': False}, + 'isc-veillard': {'id': 'ISC-Veillard', 'deprecated': False}, + 'jam': {'id': 'Jam', 'deprecated': False}, + 'jasper-2.0': {'id': 'JasPer-2.0', 'deprecated': False}, + 'jove': {'id': 'jove', 'deprecated': False}, + 'jpl-image': {'id': 'JPL-image', 'deprecated': False}, + 'jpnic': {'id': 'JPNIC', 'deprecated': False}, + 'json': {'id': 'JSON', 'deprecated': False}, + 'kastrup': {'id': 'Kastrup', 'deprecated': False}, + 'kazlib': {'id': 'Kazlib', 'deprecated': False}, + 'knuth-ctan': {'id': 'Knuth-CTAN', 'deprecated': False}, + 'lal-1.2': {'id': 'LAL-1.2', 'deprecated': False}, + 'lal-1.3': {'id': 'LAL-1.3', 'deprecated': False}, + 'latex2e': {'id': 'Latex2e', 'deprecated': False}, + 'latex2e-translated-notice': {'id': 'Latex2e-translated-notice', 'deprecated': False}, + 'leptonica': {'id': 'Leptonica', 'deprecated': False}, + 'lgpl-2.0': {'id': 'LGPL-2.0', 'deprecated': True}, + 'lgpl-2.0+': {'id': 'LGPL-2.0+', 'deprecated': True}, + 'lgpl-2.0-only': {'id': 'LGPL-2.0-only', 'deprecated': False}, + 'lgpl-2.0-or-later': {'id': 'LGPL-2.0-or-later', 'deprecated': False}, + 'lgpl-2.1': {'id': 'LGPL-2.1', 'deprecated': True}, + 'lgpl-2.1+': {'id': 'LGPL-2.1+', 'deprecated': True}, + 'lgpl-2.1-only': {'id': 'LGPL-2.1-only', 'deprecated': False}, + 'lgpl-2.1-or-later': {'id': 'LGPL-2.1-or-later', 'deprecated': False}, + 'lgpl-3.0': {'id': 'LGPL-3.0', 'deprecated': True}, + 'lgpl-3.0+': {'id': 'LGPL-3.0+', 'deprecated': True}, + 'lgpl-3.0-only': {'id': 'LGPL-3.0-only', 'deprecated': False}, + 'lgpl-3.0-or-later': {'id': 'LGPL-3.0-or-later', 'deprecated': False}, + 'lgpllr': {'id': 'LGPLLR', 'deprecated': False}, + 'libpng': {'id': 'Libpng', 'deprecated': False}, + 'libpng-1.6.35': {'id': 'libpng-1.6.35', 'deprecated': False}, + 'libpng-2.0': {'id': 'libpng-2.0', 'deprecated': False}, + 'libselinux-1.0': {'id': 'libselinux-1.0', 'deprecated': False}, + 'libtiff': {'id': 'libtiff', 'deprecated': False}, + 'libutil-david-nugent': {'id': 'libutil-David-Nugent', 'deprecated': False}, + 'liliq-p-1.1': {'id': 'LiLiQ-P-1.1', 'deprecated': False}, + 'liliq-r-1.1': {'id': 'LiLiQ-R-1.1', 'deprecated': False}, + 'liliq-rplus-1.1': {'id': 'LiLiQ-Rplus-1.1', 'deprecated': False}, + 'linux-man-pages-1-para': {'id': 'Linux-man-pages-1-para', 'deprecated': False}, + 'linux-man-pages-copyleft': {'id': 'Linux-man-pages-copyleft', 'deprecated': False}, + 'linux-man-pages-copyleft-2-para': {'id': 'Linux-man-pages-copyleft-2-para', 'deprecated': False}, + 'linux-man-pages-copyleft-var': {'id': 'Linux-man-pages-copyleft-var', 'deprecated': False}, + 'linux-openib': {'id': 'Linux-OpenIB', 'deprecated': False}, + 'loop': {'id': 'LOOP', 'deprecated': False}, + 'lpd-document': {'id': 'LPD-document', 'deprecated': False}, + 'lpl-1.0': {'id': 'LPL-1.0', 'deprecated': False}, + 'lpl-1.02': {'id': 'LPL-1.02', 'deprecated': False}, + 'lppl-1.0': {'id': 'LPPL-1.0', 'deprecated': False}, + 'lppl-1.1': {'id': 'LPPL-1.1', 'deprecated': False}, + 'lppl-1.2': {'id': 'LPPL-1.2', 'deprecated': False}, + 'lppl-1.3a': {'id': 'LPPL-1.3a', 'deprecated': False}, + 'lppl-1.3c': {'id': 'LPPL-1.3c', 'deprecated': False}, + 'lsof': {'id': 'lsof', 'deprecated': False}, + 'lucida-bitmap-fonts': {'id': 'Lucida-Bitmap-Fonts', 'deprecated': False}, + 'lzma-sdk-9.11-to-9.20': {'id': 'LZMA-SDK-9.11-to-9.20', 'deprecated': False}, + 'lzma-sdk-9.22': {'id': 'LZMA-SDK-9.22', 'deprecated': False}, + 'mackerras-3-clause': {'id': 'Mackerras-3-Clause', 'deprecated': False}, + 'mackerras-3-clause-acknowledgment': {'id': 'Mackerras-3-Clause-acknowledgment', 'deprecated': False}, + 'magaz': {'id': 'magaz', 'deprecated': False}, + 'mailprio': {'id': 'mailprio', 'deprecated': False}, + 'makeindex': {'id': 'MakeIndex', 'deprecated': False}, + 'man2html': {'id': 'man2html', 'deprecated': False}, + 'martin-birgmeier': {'id': 'Martin-Birgmeier', 'deprecated': False}, + 'mcphee-slideshow': {'id': 'McPhee-slideshow', 'deprecated': False}, + 'metamail': {'id': 'metamail', 'deprecated': False}, + 'minpack': {'id': 'Minpack', 'deprecated': False}, + 'mips': {'id': 'MIPS', 'deprecated': False}, + 'miros': {'id': 'MirOS', 'deprecated': False}, + 'mit': {'id': 'MIT', 'deprecated': False}, + 'mit-0': {'id': 'MIT-0', 'deprecated': False}, + 'mit-advertising': {'id': 'MIT-advertising', 'deprecated': False}, + 'mit-click': {'id': 'MIT-Click', 'deprecated': False}, + 'mit-cmu': {'id': 'MIT-CMU', 'deprecated': False}, + 'mit-enna': {'id': 'MIT-enna', 'deprecated': False}, + 'mit-feh': {'id': 'MIT-feh', 'deprecated': False}, + 'mit-festival': {'id': 'MIT-Festival', 'deprecated': False}, + 'mit-khronos-old': {'id': 'MIT-Khronos-old', 'deprecated': False}, + 'mit-modern-variant': {'id': 'MIT-Modern-Variant', 'deprecated': False}, + 'mit-open-group': {'id': 'MIT-open-group', 'deprecated': False}, + 'mit-testregex': {'id': 'MIT-testregex', 'deprecated': False}, + 'mit-wu': {'id': 'MIT-Wu', 'deprecated': False}, + 'mitnfa': {'id': 'MITNFA', 'deprecated': False}, + 'mmixware': {'id': 'MMIXware', 'deprecated': False}, + 'motosoto': {'id': 'Motosoto', 'deprecated': False}, + 'mpeg-ssg': {'id': 'MPEG-SSG', 'deprecated': False}, + 'mpi-permissive': {'id': 'mpi-permissive', 'deprecated': False}, + 'mpich2': {'id': 'mpich2', 'deprecated': False}, + 'mpl-1.0': {'id': 'MPL-1.0', 'deprecated': False}, + 'mpl-1.1': {'id': 'MPL-1.1', 'deprecated': False}, + 'mpl-2.0': {'id': 'MPL-2.0', 'deprecated': False}, + 'mpl-2.0-no-copyleft-exception': {'id': 'MPL-2.0-no-copyleft-exception', 'deprecated': False}, + 'mplus': {'id': 'mplus', 'deprecated': False}, + 'ms-lpl': {'id': 'MS-LPL', 'deprecated': False}, + 'ms-pl': {'id': 'MS-PL', 'deprecated': False}, + 'ms-rl': {'id': 'MS-RL', 'deprecated': False}, + 'mtll': {'id': 'MTLL', 'deprecated': False}, + 'mulanpsl-1.0': {'id': 'MulanPSL-1.0', 'deprecated': False}, + 'mulanpsl-2.0': {'id': 'MulanPSL-2.0', 'deprecated': False}, + 'multics': {'id': 'Multics', 'deprecated': False}, + 'mup': {'id': 'Mup', 'deprecated': False}, + 'naist-2003': {'id': 'NAIST-2003', 'deprecated': False}, + 'nasa-1.3': {'id': 'NASA-1.3', 'deprecated': False}, + 'naumen': {'id': 'Naumen', 'deprecated': False}, + 'nbpl-1.0': {'id': 'NBPL-1.0', 'deprecated': False}, + 'ncbi-pd': {'id': 'NCBI-PD', 'deprecated': False}, + 'ncgl-uk-2.0': {'id': 'NCGL-UK-2.0', 'deprecated': False}, + 'ncl': {'id': 'NCL', 'deprecated': False}, + 'ncsa': {'id': 'NCSA', 'deprecated': False}, + 'net-snmp': {'id': 'Net-SNMP', 'deprecated': True}, + 'netcdf': {'id': 'NetCDF', 'deprecated': False}, + 'newsletr': {'id': 'Newsletr', 'deprecated': False}, + 'ngpl': {'id': 'NGPL', 'deprecated': False}, + 'ngrep': {'id': 'ngrep', 'deprecated': False}, + 'nicta-1.0': {'id': 'NICTA-1.0', 'deprecated': False}, + 'nist-pd': {'id': 'NIST-PD', 'deprecated': False}, + 'nist-pd-fallback': {'id': 'NIST-PD-fallback', 'deprecated': False}, + 'nist-software': {'id': 'NIST-Software', 'deprecated': False}, + 'nlod-1.0': {'id': 'NLOD-1.0', 'deprecated': False}, + 'nlod-2.0': {'id': 'NLOD-2.0', 'deprecated': False}, + 'nlpl': {'id': 'NLPL', 'deprecated': False}, + 'nokia': {'id': 'Nokia', 'deprecated': False}, + 'nosl': {'id': 'NOSL', 'deprecated': False}, + 'noweb': {'id': 'Noweb', 'deprecated': False}, + 'npl-1.0': {'id': 'NPL-1.0', 'deprecated': False}, + 'npl-1.1': {'id': 'NPL-1.1', 'deprecated': False}, + 'nposl-3.0': {'id': 'NPOSL-3.0', 'deprecated': False}, + 'nrl': {'id': 'NRL', 'deprecated': False}, + 'ntia-pd': {'id': 'NTIA-PD', 'deprecated': False}, + 'ntp': {'id': 'NTP', 'deprecated': False}, + 'ntp-0': {'id': 'NTP-0', 'deprecated': False}, + 'nunit': {'id': 'Nunit', 'deprecated': True}, + 'o-uda-1.0': {'id': 'O-UDA-1.0', 'deprecated': False}, + 'oar': {'id': 'OAR', 'deprecated': False}, + 'occt-pl': {'id': 'OCCT-PL', 'deprecated': False}, + 'oclc-2.0': {'id': 'OCLC-2.0', 'deprecated': False}, + 'odbl-1.0': {'id': 'ODbL-1.0', 'deprecated': False}, + 'odc-by-1.0': {'id': 'ODC-By-1.0', 'deprecated': False}, + 'offis': {'id': 'OFFIS', 'deprecated': False}, + 'ofl-1.0': {'id': 'OFL-1.0', 'deprecated': False}, + 'ofl-1.0-no-rfn': {'id': 'OFL-1.0-no-RFN', 'deprecated': False}, + 'ofl-1.0-rfn': {'id': 'OFL-1.0-RFN', 'deprecated': False}, + 'ofl-1.1': {'id': 'OFL-1.1', 'deprecated': False}, + 'ofl-1.1-no-rfn': {'id': 'OFL-1.1-no-RFN', 'deprecated': False}, + 'ofl-1.1-rfn': {'id': 'OFL-1.1-RFN', 'deprecated': False}, + 'ogc-1.0': {'id': 'OGC-1.0', 'deprecated': False}, + 'ogdl-taiwan-1.0': {'id': 'OGDL-Taiwan-1.0', 'deprecated': False}, + 'ogl-canada-2.0': {'id': 'OGL-Canada-2.0', 'deprecated': False}, + 'ogl-uk-1.0': {'id': 'OGL-UK-1.0', 'deprecated': False}, + 'ogl-uk-2.0': {'id': 'OGL-UK-2.0', 'deprecated': False}, + 'ogl-uk-3.0': {'id': 'OGL-UK-3.0', 'deprecated': False}, + 'ogtsl': {'id': 'OGTSL', 'deprecated': False}, + 'oldap-1.1': {'id': 'OLDAP-1.1', 'deprecated': False}, + 'oldap-1.2': {'id': 'OLDAP-1.2', 'deprecated': False}, + 'oldap-1.3': {'id': 'OLDAP-1.3', 'deprecated': False}, + 'oldap-1.4': {'id': 'OLDAP-1.4', 'deprecated': False}, + 'oldap-2.0': {'id': 'OLDAP-2.0', 'deprecated': False}, + 'oldap-2.0.1': {'id': 'OLDAP-2.0.1', 'deprecated': False}, + 'oldap-2.1': {'id': 'OLDAP-2.1', 'deprecated': False}, + 'oldap-2.2': {'id': 'OLDAP-2.2', 'deprecated': False}, + 'oldap-2.2.1': {'id': 'OLDAP-2.2.1', 'deprecated': False}, + 'oldap-2.2.2': {'id': 'OLDAP-2.2.2', 'deprecated': False}, + 'oldap-2.3': {'id': 'OLDAP-2.3', 'deprecated': False}, + 'oldap-2.4': {'id': 'OLDAP-2.4', 'deprecated': False}, + 'oldap-2.5': {'id': 'OLDAP-2.5', 'deprecated': False}, + 'oldap-2.6': {'id': 'OLDAP-2.6', 'deprecated': False}, + 'oldap-2.7': {'id': 'OLDAP-2.7', 'deprecated': False}, + 'oldap-2.8': {'id': 'OLDAP-2.8', 'deprecated': False}, + 'olfl-1.3': {'id': 'OLFL-1.3', 'deprecated': False}, + 'oml': {'id': 'OML', 'deprecated': False}, + 'openpbs-2.3': {'id': 'OpenPBS-2.3', 'deprecated': False}, + 'openssl': {'id': 'OpenSSL', 'deprecated': False}, + 'openssl-standalone': {'id': 'OpenSSL-standalone', 'deprecated': False}, + 'openvision': {'id': 'OpenVision', 'deprecated': False}, + 'opl-1.0': {'id': 'OPL-1.0', 'deprecated': False}, + 'opl-uk-3.0': {'id': 'OPL-UK-3.0', 'deprecated': False}, + 'opubl-1.0': {'id': 'OPUBL-1.0', 'deprecated': False}, + 'oset-pl-2.1': {'id': 'OSET-PL-2.1', 'deprecated': False}, + 'osl-1.0': {'id': 'OSL-1.0', 'deprecated': False}, + 'osl-1.1': {'id': 'OSL-1.1', 'deprecated': False}, + 'osl-2.0': {'id': 'OSL-2.0', 'deprecated': False}, + 'osl-2.1': {'id': 'OSL-2.1', 'deprecated': False}, + 'osl-3.0': {'id': 'OSL-3.0', 'deprecated': False}, + 'padl': {'id': 'PADL', 'deprecated': False}, + 'parity-6.0.0': {'id': 'Parity-6.0.0', 'deprecated': False}, + 'parity-7.0.0': {'id': 'Parity-7.0.0', 'deprecated': False}, + 'pddl-1.0': {'id': 'PDDL-1.0', 'deprecated': False}, + 'php-3.0': {'id': 'PHP-3.0', 'deprecated': False}, + 'php-3.01': {'id': 'PHP-3.01', 'deprecated': False}, + 'pixar': {'id': 'Pixar', 'deprecated': False}, + 'pkgconf': {'id': 'pkgconf', 'deprecated': False}, + 'plexus': {'id': 'Plexus', 'deprecated': False}, + 'pnmstitch': {'id': 'pnmstitch', 'deprecated': False}, + 'polyform-noncommercial-1.0.0': {'id': 'PolyForm-Noncommercial-1.0.0', 'deprecated': False}, + 'polyform-small-business-1.0.0': {'id': 'PolyForm-Small-Business-1.0.0', 'deprecated': False}, + 'postgresql': {'id': 'PostgreSQL', 'deprecated': False}, + 'ppl': {'id': 'PPL', 'deprecated': False}, + 'psf-2.0': {'id': 'PSF-2.0', 'deprecated': False}, + 'psfrag': {'id': 'psfrag', 'deprecated': False}, + 'psutils': {'id': 'psutils', 'deprecated': False}, + 'python-2.0': {'id': 'Python-2.0', 'deprecated': False}, + 'python-2.0.1': {'id': 'Python-2.0.1', 'deprecated': False}, + 'python-ldap': {'id': 'python-ldap', 'deprecated': False}, + 'qhull': {'id': 'Qhull', 'deprecated': False}, + 'qpl-1.0': {'id': 'QPL-1.0', 'deprecated': False}, + 'qpl-1.0-inria-2004': {'id': 'QPL-1.0-INRIA-2004', 'deprecated': False}, + 'radvd': {'id': 'radvd', 'deprecated': False}, + 'rdisc': {'id': 'Rdisc', 'deprecated': False}, + 'rhecos-1.1': {'id': 'RHeCos-1.1', 'deprecated': False}, + 'rpl-1.1': {'id': 'RPL-1.1', 'deprecated': False}, + 'rpl-1.5': {'id': 'RPL-1.5', 'deprecated': False}, + 'rpsl-1.0': {'id': 'RPSL-1.0', 'deprecated': False}, + 'rsa-md': {'id': 'RSA-MD', 'deprecated': False}, + 'rscpl': {'id': 'RSCPL', 'deprecated': False}, + 'ruby': {'id': 'Ruby', 'deprecated': False}, + 'ruby-pty': {'id': 'Ruby-pty', 'deprecated': False}, + 'sax-pd': {'id': 'SAX-PD', 'deprecated': False}, + 'sax-pd-2.0': {'id': 'SAX-PD-2.0', 'deprecated': False}, + 'saxpath': {'id': 'Saxpath', 'deprecated': False}, + 'scea': {'id': 'SCEA', 'deprecated': False}, + 'schemereport': {'id': 'SchemeReport', 'deprecated': False}, + 'sendmail': {'id': 'Sendmail', 'deprecated': False}, + 'sendmail-8.23': {'id': 'Sendmail-8.23', 'deprecated': False}, + 'sendmail-open-source-1.1': {'id': 'Sendmail-Open-Source-1.1', 'deprecated': False}, + 'sgi-b-1.0': {'id': 'SGI-B-1.0', 'deprecated': False}, + 'sgi-b-1.1': {'id': 'SGI-B-1.1', 'deprecated': False}, + 'sgi-b-2.0': {'id': 'SGI-B-2.0', 'deprecated': False}, + 'sgi-opengl': {'id': 'SGI-OpenGL', 'deprecated': False}, + 'sgp4': {'id': 'SGP4', 'deprecated': False}, + 'shl-0.5': {'id': 'SHL-0.5', 'deprecated': False}, + 'shl-0.51': {'id': 'SHL-0.51', 'deprecated': False}, + 'simpl-2.0': {'id': 'SimPL-2.0', 'deprecated': False}, + 'sissl': {'id': 'SISSL', 'deprecated': False}, + 'sissl-1.2': {'id': 'SISSL-1.2', 'deprecated': False}, + 'sl': {'id': 'SL', 'deprecated': False}, + 'sleepycat': {'id': 'Sleepycat', 'deprecated': False}, + 'smail-gpl': {'id': 'SMAIL-GPL', 'deprecated': False}, + 'smlnj': {'id': 'SMLNJ', 'deprecated': False}, + 'smppl': {'id': 'SMPPL', 'deprecated': False}, + 'snia': {'id': 'SNIA', 'deprecated': False}, + 'snprintf': {'id': 'snprintf', 'deprecated': False}, + 'sofa': {'id': 'SOFA', 'deprecated': False}, + 'softsurfer': {'id': 'softSurfer', 'deprecated': False}, + 'soundex': {'id': 'Soundex', 'deprecated': False}, + 'spencer-86': {'id': 'Spencer-86', 'deprecated': False}, + 'spencer-94': {'id': 'Spencer-94', 'deprecated': False}, + 'spencer-99': {'id': 'Spencer-99', 'deprecated': False}, + 'spl-1.0': {'id': 'SPL-1.0', 'deprecated': False}, + 'ssh-keyscan': {'id': 'ssh-keyscan', 'deprecated': False}, + 'ssh-openssh': {'id': 'SSH-OpenSSH', 'deprecated': False}, + 'ssh-short': {'id': 'SSH-short', 'deprecated': False}, + 'ssleay-standalone': {'id': 'SSLeay-standalone', 'deprecated': False}, + 'sspl-1.0': {'id': 'SSPL-1.0', 'deprecated': False}, + 'standardml-nj': {'id': 'StandardML-NJ', 'deprecated': True}, + 'sugarcrm-1.1.3': {'id': 'SugarCRM-1.1.3', 'deprecated': False}, + 'sul-1.0': {'id': 'SUL-1.0', 'deprecated': False}, + 'sun-ppp': {'id': 'Sun-PPP', 'deprecated': False}, + 'sun-ppp-2000': {'id': 'Sun-PPP-2000', 'deprecated': False}, + 'sunpro': {'id': 'SunPro', 'deprecated': False}, + 'swl': {'id': 'SWL', 'deprecated': False}, + 'swrule': {'id': 'swrule', 'deprecated': False}, + 'symlinks': {'id': 'Symlinks', 'deprecated': False}, + 'tapr-ohl-1.0': {'id': 'TAPR-OHL-1.0', 'deprecated': False}, + 'tcl': {'id': 'TCL', 'deprecated': False}, + 'tcp-wrappers': {'id': 'TCP-wrappers', 'deprecated': False}, + 'termreadkey': {'id': 'TermReadKey', 'deprecated': False}, + 'tgppl-1.0': {'id': 'TGPPL-1.0', 'deprecated': False}, + 'thirdeye': {'id': 'ThirdEye', 'deprecated': False}, + 'threeparttable': {'id': 'threeparttable', 'deprecated': False}, + 'tmate': {'id': 'TMate', 'deprecated': False}, + 'torque-1.1': {'id': 'TORQUE-1.1', 'deprecated': False}, + 'tosl': {'id': 'TOSL', 'deprecated': False}, + 'tpdl': {'id': 'TPDL', 'deprecated': False}, + 'tpl-1.0': {'id': 'TPL-1.0', 'deprecated': False}, + 'trustedqsl': {'id': 'TrustedQSL', 'deprecated': False}, + 'ttwl': {'id': 'TTWL', 'deprecated': False}, + 'ttyp0': {'id': 'TTYP0', 'deprecated': False}, + 'tu-berlin-1.0': {'id': 'TU-Berlin-1.0', 'deprecated': False}, + 'tu-berlin-2.0': {'id': 'TU-Berlin-2.0', 'deprecated': False}, + 'ubuntu-font-1.0': {'id': 'Ubuntu-font-1.0', 'deprecated': False}, + 'ucar': {'id': 'UCAR', 'deprecated': False}, + 'ucl-1.0': {'id': 'UCL-1.0', 'deprecated': False}, + 'ulem': {'id': 'ulem', 'deprecated': False}, + 'umich-merit': {'id': 'UMich-Merit', 'deprecated': False}, + 'unicode-3.0': {'id': 'Unicode-3.0', 'deprecated': False}, + 'unicode-dfs-2015': {'id': 'Unicode-DFS-2015', 'deprecated': False}, + 'unicode-dfs-2016': {'id': 'Unicode-DFS-2016', 'deprecated': False}, + 'unicode-tou': {'id': 'Unicode-TOU', 'deprecated': False}, + 'unixcrypt': {'id': 'UnixCrypt', 'deprecated': False}, + 'unlicense': {'id': 'Unlicense', 'deprecated': False}, + 'unlicense-libtelnet': {'id': 'Unlicense-libtelnet', 'deprecated': False}, + 'unlicense-libwhirlpool': {'id': 'Unlicense-libwhirlpool', 'deprecated': False}, + 'upl-1.0': {'id': 'UPL-1.0', 'deprecated': False}, + 'urt-rle': {'id': 'URT-RLE', 'deprecated': False}, + 'vim': {'id': 'Vim', 'deprecated': False}, + 'vostrom': {'id': 'VOSTROM', 'deprecated': False}, + 'vsl-1.0': {'id': 'VSL-1.0', 'deprecated': False}, + 'w3c': {'id': 'W3C', 'deprecated': False}, + 'w3c-19980720': {'id': 'W3C-19980720', 'deprecated': False}, + 'w3c-20150513': {'id': 'W3C-20150513', 'deprecated': False}, + 'w3m': {'id': 'w3m', 'deprecated': False}, + 'watcom-1.0': {'id': 'Watcom-1.0', 'deprecated': False}, + 'widget-workshop': {'id': 'Widget-Workshop', 'deprecated': False}, + 'wsuipa': {'id': 'Wsuipa', 'deprecated': False}, + 'wtfpl': {'id': 'WTFPL', 'deprecated': False}, + 'wwl': {'id': 'wwl', 'deprecated': False}, + 'wxwindows': {'id': 'wxWindows', 'deprecated': True}, + 'x11': {'id': 'X11', 'deprecated': False}, + 'x11-distribute-modifications-variant': {'id': 'X11-distribute-modifications-variant', 'deprecated': False}, + 'x11-swapped': {'id': 'X11-swapped', 'deprecated': False}, + 'xdebug-1.03': {'id': 'Xdebug-1.03', 'deprecated': False}, + 'xerox': {'id': 'Xerox', 'deprecated': False}, + 'xfig': {'id': 'Xfig', 'deprecated': False}, + 'xfree86-1.1': {'id': 'XFree86-1.1', 'deprecated': False}, + 'xinetd': {'id': 'xinetd', 'deprecated': False}, + 'xkeyboard-config-zinoviev': {'id': 'xkeyboard-config-Zinoviev', 'deprecated': False}, + 'xlock': {'id': 'xlock', 'deprecated': False}, + 'xnet': {'id': 'Xnet', 'deprecated': False}, + 'xpp': {'id': 'xpp', 'deprecated': False}, + 'xskat': {'id': 'XSkat', 'deprecated': False}, + 'xzoom': {'id': 'xzoom', 'deprecated': False}, + 'ypl-1.0': {'id': 'YPL-1.0', 'deprecated': False}, + 'ypl-1.1': {'id': 'YPL-1.1', 'deprecated': False}, + 'zed': {'id': 'Zed', 'deprecated': False}, + 'zeeff': {'id': 'Zeeff', 'deprecated': False}, + 'zend-2.0': {'id': 'Zend-2.0', 'deprecated': False}, + 'zimbra-1.3': {'id': 'Zimbra-1.3', 'deprecated': False}, + 'zimbra-1.4': {'id': 'Zimbra-1.4', 'deprecated': False}, + 'zlib': {'id': 'Zlib', 'deprecated': False}, + 'zlib-acknowledgement': {'id': 'zlib-acknowledgement', 'deprecated': False}, + 'zpl-1.1': {'id': 'ZPL-1.1', 'deprecated': False}, + 'zpl-2.0': {'id': 'ZPL-2.0', 'deprecated': False}, + 'zpl-2.1': {'id': 'ZPL-2.1', 'deprecated': False}, +} + +EXCEPTIONS: dict[str, SPDXException] = { + '389-exception': {'id': '389-exception', 'deprecated': False}, + 'asterisk-exception': {'id': 'Asterisk-exception', 'deprecated': False}, + 'asterisk-linking-protocols-exception': {'id': 'Asterisk-linking-protocols-exception', 'deprecated': False}, + 'autoconf-exception-2.0': {'id': 'Autoconf-exception-2.0', 'deprecated': False}, + 'autoconf-exception-3.0': {'id': 'Autoconf-exception-3.0', 'deprecated': False}, + 'autoconf-exception-generic': {'id': 'Autoconf-exception-generic', 'deprecated': False}, + 'autoconf-exception-generic-3.0': {'id': 'Autoconf-exception-generic-3.0', 'deprecated': False}, + 'autoconf-exception-macro': {'id': 'Autoconf-exception-macro', 'deprecated': False}, + 'bison-exception-1.24': {'id': 'Bison-exception-1.24', 'deprecated': False}, + 'bison-exception-2.2': {'id': 'Bison-exception-2.2', 'deprecated': False}, + 'bootloader-exception': {'id': 'Bootloader-exception', 'deprecated': False}, + 'cgal-linking-exception': {'id': 'CGAL-linking-exception', 'deprecated': False}, + 'classpath-exception-2.0': {'id': 'Classpath-exception-2.0', 'deprecated': False}, + 'clisp-exception-2.0': {'id': 'CLISP-exception-2.0', 'deprecated': False}, + 'cryptsetup-openssl-exception': {'id': 'cryptsetup-OpenSSL-exception', 'deprecated': False}, + 'digia-qt-lgpl-exception-1.1': {'id': 'Digia-Qt-LGPL-exception-1.1', 'deprecated': False}, + 'digirule-foss-exception': {'id': 'DigiRule-FOSS-exception', 'deprecated': False}, + 'ecos-exception-2.0': {'id': 'eCos-exception-2.0', 'deprecated': False}, + 'erlang-otp-linking-exception': {'id': 'erlang-otp-linking-exception', 'deprecated': False}, + 'fawkes-runtime-exception': {'id': 'Fawkes-Runtime-exception', 'deprecated': False}, + 'fltk-exception': {'id': 'FLTK-exception', 'deprecated': False}, + 'fmt-exception': {'id': 'fmt-exception', 'deprecated': False}, + 'font-exception-2.0': {'id': 'Font-exception-2.0', 'deprecated': False}, + 'freertos-exception-2.0': {'id': 'freertos-exception-2.0', 'deprecated': False}, + 'gcc-exception-2.0': {'id': 'GCC-exception-2.0', 'deprecated': False}, + 'gcc-exception-2.0-note': {'id': 'GCC-exception-2.0-note', 'deprecated': False}, + 'gcc-exception-3.1': {'id': 'GCC-exception-3.1', 'deprecated': False}, + 'gmsh-exception': {'id': 'Gmsh-exception', 'deprecated': False}, + 'gnat-exception': {'id': 'GNAT-exception', 'deprecated': False}, + 'gnome-examples-exception': {'id': 'GNOME-examples-exception', 'deprecated': False}, + 'gnu-compiler-exception': {'id': 'GNU-compiler-exception', 'deprecated': False}, + 'gnu-javamail-exception': {'id': 'gnu-javamail-exception', 'deprecated': False}, + 'gpl-3.0-389-ds-base-exception': {'id': 'GPL-3.0-389-ds-base-exception', 'deprecated': False}, + 'gpl-3.0-interface-exception': {'id': 'GPL-3.0-interface-exception', 'deprecated': False}, + 'gpl-3.0-linking-exception': {'id': 'GPL-3.0-linking-exception', 'deprecated': False}, + 'gpl-3.0-linking-source-exception': {'id': 'GPL-3.0-linking-source-exception', 'deprecated': False}, + 'gpl-cc-1.0': {'id': 'GPL-CC-1.0', 'deprecated': False}, + 'gstreamer-exception-2005': {'id': 'GStreamer-exception-2005', 'deprecated': False}, + 'gstreamer-exception-2008': {'id': 'GStreamer-exception-2008', 'deprecated': False}, + 'harbour-exception': {'id': 'harbour-exception', 'deprecated': False}, + 'i2p-gpl-java-exception': {'id': 'i2p-gpl-java-exception', 'deprecated': False}, + 'independent-modules-exception': {'id': 'Independent-modules-exception', 'deprecated': False}, + 'kicad-libraries-exception': {'id': 'KiCad-libraries-exception', 'deprecated': False}, + 'lgpl-3.0-linking-exception': {'id': 'LGPL-3.0-linking-exception', 'deprecated': False}, + 'libpri-openh323-exception': {'id': 'libpri-OpenH323-exception', 'deprecated': False}, + 'libtool-exception': {'id': 'Libtool-exception', 'deprecated': False}, + 'linux-syscall-note': {'id': 'Linux-syscall-note', 'deprecated': False}, + 'llgpl': {'id': 'LLGPL', 'deprecated': False}, + 'llvm-exception': {'id': 'LLVM-exception', 'deprecated': False}, + 'lzma-exception': {'id': 'LZMA-exception', 'deprecated': False}, + 'mif-exception': {'id': 'mif-exception', 'deprecated': False}, + 'mxml-exception': {'id': 'mxml-exception', 'deprecated': False}, + 'nokia-qt-exception-1.1': {'id': 'Nokia-Qt-exception-1.1', 'deprecated': True}, + 'ocaml-lgpl-linking-exception': {'id': 'OCaml-LGPL-linking-exception', 'deprecated': False}, + 'occt-exception-1.0': {'id': 'OCCT-exception-1.0', 'deprecated': False}, + 'openjdk-assembly-exception-1.0': {'id': 'OpenJDK-assembly-exception-1.0', 'deprecated': False}, + 'openvpn-openssl-exception': {'id': 'openvpn-openssl-exception', 'deprecated': False}, + 'pcre2-exception': {'id': 'PCRE2-exception', 'deprecated': False}, + 'polyparse-exception': {'id': 'polyparse-exception', 'deprecated': False}, + 'ps-or-pdf-font-exception-20170817': {'id': 'PS-or-PDF-font-exception-20170817', 'deprecated': False}, + 'qpl-1.0-inria-2004-exception': {'id': 'QPL-1.0-INRIA-2004-exception', 'deprecated': False}, + 'qt-gpl-exception-1.0': {'id': 'Qt-GPL-exception-1.0', 'deprecated': False}, + 'qt-lgpl-exception-1.1': {'id': 'Qt-LGPL-exception-1.1', 'deprecated': False}, + 'qwt-exception-1.0': {'id': 'Qwt-exception-1.0', 'deprecated': False}, + 'romic-exception': {'id': 'romic-exception', 'deprecated': False}, + 'rrdtool-floss-exception-2.0': {'id': 'RRDtool-FLOSS-exception-2.0', 'deprecated': False}, + 'sane-exception': {'id': 'SANE-exception', 'deprecated': False}, + 'shl-2.0': {'id': 'SHL-2.0', 'deprecated': False}, + 'shl-2.1': {'id': 'SHL-2.1', 'deprecated': False}, + 'stunnel-exception': {'id': 'stunnel-exception', 'deprecated': False}, + 'swi-exception': {'id': 'SWI-exception', 'deprecated': False}, + 'swift-exception': {'id': 'Swift-exception', 'deprecated': False}, + 'texinfo-exception': {'id': 'Texinfo-exception', 'deprecated': False}, + 'u-boot-exception-2.0': {'id': 'u-boot-exception-2.0', 'deprecated': False}, + 'ubdl-exception': {'id': 'UBDL-exception', 'deprecated': False}, + 'universal-foss-exception-1.0': {'id': 'Universal-FOSS-exception-1.0', 'deprecated': False}, + 'vsftpd-openssl-exception': {'id': 'vsftpd-openssl-exception', 'deprecated': False}, + 'wxwindows-exception-3.1': {'id': 'WxWindows-exception-3.1', 'deprecated': False}, + 'x11vnc-openssl-exception': {'id': 'x11vnc-openssl-exception', 'deprecated': False}, +} diff --git a/python/Lib/site-packages/setuptools/_vendor/platformdirs-4.4.0.dist-info/licenses/LICENSE b/python/Lib/site-packages/setuptools/_vendor/platformdirs-4.4.0.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..f35fed9191b1142ddaada8a96de4a9461c5d796c --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/platformdirs-4.4.0.dist-info/licenses/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2010-202x The platformdirs developers + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/python/Lib/site-packages/setuptools/_vendor/platformdirs/__pycache__/__init__.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/platformdirs/__pycache__/__init__.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..85065924a985915be0957b9c10d8f80141223c87 Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/platformdirs/__pycache__/__init__.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/platformdirs/__pycache__/__main__.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/platformdirs/__pycache__/__main__.cpython-313.pyc new file mode 100644 index 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KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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0000000000000000000000000000000000000000..bf2a334994f55a47c04381cdc82f9aed831e701e Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/wheel/__pycache__/_setuptools_logging.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__init__.py b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..42f1d7ef309663498fd2b4d691aa71e14be34e63 --- /dev/null +++ b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__init__.py @@ -0,0 +1,153 @@ +""" +Wheel command-line utility. +""" + +from __future__ import annotations + +import argparse +import os +import sys +from argparse import ArgumentTypeError + +from ..wheelfile import WheelError + + +def unpack_f(args: argparse.Namespace) -> None: + from .unpack import unpack + + unpack(args.wheelfile, args.dest) + + +def pack_f(args: argparse.Namespace) -> None: + from .pack import pack + + pack(args.directory, args.dest_dir, args.build_number) + + +def convert_f(args: argparse.Namespace) -> None: + from .convert import convert + + convert(args.files, args.dest_dir, args.verbose) + + +def tags_f(args: argparse.Namespace) -> None: + from .tags import tags + + names = ( + tags( + wheel, + args.python_tag, + args.abi_tag, + args.platform_tag, + args.build, + args.remove, + ) + for wheel in args.wheel + ) + + for name in names: + print(name) + + +def version_f(args: argparse.Namespace) -> None: + from .. import __version__ + + print(f"wheel {__version__}") + + +def parse_build_tag(build_tag: str) -> str: + if build_tag and not build_tag[0].isdigit(): + raise ArgumentTypeError("build tag must begin with a digit") + elif "-" in build_tag: + raise ArgumentTypeError("invalid character ('-') in build tag") + + return build_tag + + +TAGS_HELP = """\ +Make a new wheel with given tags. Any tags unspecified will remain the same. +Starting the tags with a "+" will append to the existing tags. Starting with a +"-" will remove a tag (use --option=-TAG syntax). Multiple tags can be +separated by ".". The original file will remain unless --remove is given. The +output filename(s) will be displayed on stdout for further processing. +""" + + +def parser() -> argparse.ArgumentParser: + p = argparse.ArgumentParser() + s = p.add_subparsers(help="commands") + + unpack_parser = s.add_parser("unpack", help="Unpack wheel") + unpack_parser.add_argument( + "--dest", "-d", help="Destination directory", default="." + ) + unpack_parser.add_argument("wheelfile", help="Wheel file") + unpack_parser.set_defaults(func=unpack_f) + + repack_parser = s.add_parser("pack", help="Repack wheel") + repack_parser.add_argument("directory", help="Root directory of the unpacked wheel") + repack_parser.add_argument( + "--dest-dir", + "-d", + default=os.path.curdir, + help="Directory to store the wheel (default %(default)s)", + ) + repack_parser.add_argument( + "--build-number", help="Build tag to use in the wheel name" + ) + repack_parser.set_defaults(func=pack_f) + + convert_parser = s.add_parser("convert", help="Convert egg or wininst to wheel") + convert_parser.add_argument("files", nargs="*", help="Files to convert") + convert_parser.add_argument( + "--dest-dir", + "-d", + default=os.path.curdir, + help="Directory to store wheels (default %(default)s)", + ) + convert_parser.add_argument("--verbose", "-v", action="store_true") + convert_parser.set_defaults(func=convert_f) + + tags_parser = s.add_parser( + "tags", help="Add or replace the tags on a wheel", description=TAGS_HELP + ) + tags_parser.add_argument("wheel", nargs="*", help="Existing wheel(s) to retag") + tags_parser.add_argument( + "--remove", + action="store_true", + help="Remove the original files, keeping only the renamed ones", + ) + tags_parser.add_argument( + "--python-tag", metavar="TAG", help="Specify an interpreter tag(s)" + ) + tags_parser.add_argument("--abi-tag", metavar="TAG", help="Specify an ABI tag(s)") + tags_parser.add_argument( + "--platform-tag", metavar="TAG", help="Specify a platform tag(s)" + ) + tags_parser.add_argument( + "--build", type=parse_build_tag, metavar="BUILD", help="Specify a build tag" + ) + tags_parser.set_defaults(func=tags_f) + + version_parser = s.add_parser("version", help="Print version and exit") + version_parser.set_defaults(func=version_f) + + help_parser = s.add_parser("help", help="Show this help") + help_parser.set_defaults(func=lambda args: p.print_help()) + + return p + + +def main() -> int: + p = parser() + args = p.parse_args() + if not hasattr(args, "func"): + p.print_help() + else: + try: + args.func(args) + return 0 + except WheelError as e: + print(e, file=sys.stderr) + + return 1 diff --git a/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/__init__.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/__init__.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b6cc5a7dba1fd3b22e366062bda941811af7c3f6 Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/__init__.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/convert.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/convert.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..bad17806c043acba866d82f9d8cca83f75ec0080 Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/convert.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/pack.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/pack.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..4adebcf540e240421e64ee5392d4e9b7a0d0daa8 Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/pack.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/tags.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/tags.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..06dfa82728ec45f60a0a79159ff229398f35ad2f Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/tags.cpython-313.pyc differ diff --git a/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/unpack.cpython-313.pyc b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/unpack.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..24ef17effedce35840e415e59230624139b000f6 Binary files /dev/null and b/python/Lib/site-packages/setuptools/_vendor/wheel/_commands/__pycache__/unpack.cpython-313.pyc differ