Critics have remarked that those four worthies were truly peerless throughout the ages; yet the present falls short of the past—the ancients favored unadorned simplicity, whereas the moderns prefer refined elegance. Styles of substance and ornament rise and fall in succession, shifting with the changing mores of the times; such evolution is simply the natural order of things. The ideal lies in honoring antiquity without clashing with the present, and embracing modernity without succumbing to its flaws—embodying that perfect balance of substance and refinement that defines the true gentleman. There is surely no need to abandon a carved palace in favor of a cave dwelling, or to trade a jade carriage for a primitive cart with solid wooden wheels.🌌 SpectraShell
__all__ = 'coroutine', 'iscoroutinefunction', 'iscoroutine'
import collections.abc
import functools
import inspect
import os
import sys
import traceback
import types
import warnings
from . import base_futures
from . import constants
from . import format_helpers
from .log import logger
def _is_debug_mode():
# If you set _DEBUG to true, @coroutine will wrap the resulting
# generator objects in a CoroWrapper instance (defined below). That
# instance will log a message when the generator is never iterated
# over, which may happen when you forget to use "await" or "yield from"
# with a coroutine call.
# Note that the value of the _DEBUG flag is taken
# when the decorator is used, so to be of any use it must be set
# before you define your coroutines. A downside of using this feature
# is that tracebacks show entries for the CoroWrapper.__next__ method
# when _DEBUG is true.
return sys.flags.dev_mode or (not sys.flags.ignore_environment and
bool(os.environ.get('PYTHONASYNCIODEBUG')))
_DEBUG = _is_debug_mode()
class CoroWrapper:
# Wrapper for coroutine object in _DEBUG mode.
def __init__(self, gen, func=None):
assert inspect.isgenerator(gen) or inspect.iscoroutine(gen), gen
self.gen = gen
self.func = func # Used to unwrap @coroutine decorator
self._source_traceback = format_helpers.extract_stack(sys._getframe(1))
self.__name__ = getattr(gen, '__name__', None)
self.__qualname__ = getattr(gen, '__qualname__', None)
def __repr__(self):
coro_repr = _format_coroutine(self)
if self._source_traceback:
frame = self._source_traceback[-1]
coro_repr += f', created at {frame[0]}:{frame[1]}'
return f'<{self.__class__.__name__} {coro_repr}>'
def __iter__(self):
return self
def __next__(self):
return self.gen.send(None)
def send(self, value):
return self.gen.send(value)
def throw(self, type, value=None, traceback=None):
return self.gen.throw(type, value, traceback)
def close(self):
return self.gen.close()
@property
def gi_frame(self):
return self.gen.gi_frame
@property
def gi_running(self):
return self.gen.gi_running
@property
def gi_code(self):
return self.gen.gi_code
def __await__(self):
return self
@property
def gi_yieldfrom(self):
return self.gen.gi_yieldfrom
def __del__(self):
# Be careful accessing self.gen.frame -- self.gen might not exist.
gen = getattr(self, 'gen', None)
frame = getattr(gen, 'gi_frame', None)
if frame is not None and frame.f_lasti == -1:
msg = f'{self!r} was never yielded from'
tb = getattr(self, '_source_traceback', ())
if tb:
tb = ''.join(traceback.format_list(tb))
msg += (f'\nCoroutine object created at '
f'(most recent call last, truncated to '
f'{constants.DEBUG_STACK_DEPTH} last lines):\n')
msg += tb.rstrip()
logger.error(msg)
def coroutine(func):
"""Decorator to mark coroutines.
If the coroutine is not yielded from before it is destroyed,
an error message is logged.
"""
warnings.warn('"@coroutine" decorator is deprecated since Python 3.8, use "async def" instead',
DeprecationWarning,
stacklevel=2)
if inspect.iscoroutinefunction(func):
# In Python 3.5 that's all we need to do for coroutines
# defined with "async def".
return func
if inspect.isgeneratorfunction(func):
coro = func
else:
@functools.wraps(func)
def coro(*args, **kw):
res = func(*args, **kw)
if (base_futures.isfuture(res) or inspect.isgenerator(res) or
isinstance(res, CoroWrapper)):
res = yield from res
else:
# If 'res' is an awaitable, run it.
try:
await_meth = res.__await__
except AttributeError:
pass
else:
if isinstance(res, collections.abc.Awaitable):
res = yield from await_meth()
return res
coro = types.coroutine(coro)
if not _DEBUG:
wrapper = coro
else:
@functools.wraps(func)
def wrapper(*args, **kwds):
w = CoroWrapper(coro(*args, **kwds), func=func)
if w._source_traceback:
del w._source_traceback[-1]
# Python < 3.5 does not implement __qualname__
# on generator objects, so we set it manually.
# We use getattr as some callables (such as
# functools.partial may lack __qualname__).
w.__name__ = getattr(func, '__name__', None)
w.__qualname__ = getattr(func, '__qualname__', None)
return w
wrapper._is_coroutine = _is_coroutine # For iscoroutinefunction().
return wrapper
# A marker for iscoroutinefunction.
_is_coroutine = object()
def iscoroutinefunction(func):
"""Return True if func is a decorated coroutine function."""
return (inspect.iscoroutinefunction(func) or
getattr(func, '_is_coroutine', None) is _is_coroutine)
# Prioritize native coroutine check to speed-up
# asyncio.iscoroutine.
_COROUTINE_TYPES = (types.CoroutineType, types.GeneratorType,
collections.abc.Coroutine, CoroWrapper)
_iscoroutine_typecache = set()
def iscoroutine(obj):
"""Return True if obj is a coroutine object."""
if type(obj) in _iscoroutine_typecache:
return True
if isinstance(obj, _COROUTINE_TYPES):
# Just in case we don't want to cache more than 100
# positive types. That shouldn't ever happen, unless
# someone stressing the system on purpose.
if len(_iscoroutine_typecache) < 100:
_iscoroutine_typecache.add(type(obj))
return True
else:
return False
def _format_coroutine(coro):
assert iscoroutine(coro)
is_corowrapper = isinstance(coro, CoroWrapper)
def get_name(coro):
# Coroutines compiled with Cython sometimes don't have
# proper __qualname__ or __name__. While that is a bug
# in Cython, asyncio shouldn't crash with an AttributeError
# in its __repr__ functions.
if is_corowrapper:
return format_helpers._format_callback(coro.func, (), {})
if hasattr(coro, '__qualname__') and coro.__qualname__:
coro_name = coro.__qualname__
elif hasattr(coro, '__name__') and coro.__name__:
coro_name = coro.__name__
else:
# Stop masking Cython bugs, expose them in a friendly way.
coro_name = f'<{type(coro).__name__} without __name__>'
return f'{coro_name}()'
def is_running(coro):
try:
return coro.cr_running
except AttributeError:
try:
return coro.gi_running
except AttributeError:
return False
coro_code = None
if hasattr(coro, 'cr_code') and coro.cr_code:
coro_code = coro.cr_code
elif hasattr(coro, 'gi_code') and coro.gi_code:
coro_code = coro.gi_code
coro_name = get_name(coro)
if not coro_code:
# Built-in types might not have __qualname__ or __name__.
if is_running(coro):
return f'{coro_name} running'
else:
return coro_name
coro_frame = None
if hasattr(coro, 'gi_frame') and coro.gi_frame:
coro_frame = coro.gi_frame
elif hasattr(coro, 'cr_frame') and coro.cr_frame:
coro_frame = coro.cr_frame
# If Cython's coroutine has a fake code object without proper
# co_filename -- expose that.
filename = coro_code.co_filename or '<empty co_filename>'
lineno = 0
if (is_corowrapper and
coro.func is not None and
not inspect.isgeneratorfunction(coro.func)):
source = format_helpers._get_function_source(coro.func)
if source is not None:
filename, lineno = source
if coro_frame is None:
coro_repr = f'{coro_name} done, defined at {filename}:{lineno}'
else:
coro_repr = f'{coro_name} running, defined at {filename}:{lineno}'
elif coro_frame is not None:
lineno = coro_frame.f_lineno
coro_repr = f'{coro_name} running at {filename}:{lineno}'
else:
lineno = coro_code.co_firstlineno
coro_repr = f'{coro_name} done, defined at {filename}:{lineno}'
return coro_repr
Introducing Word Fairy AI - Your Ultimate Writing Companion
Are you a student struggling to find the right words to express your thoughts and ideas? Do you find it challenging to create unique and personalized content for your assignments? Look no further, as Word Fairy AI is here to revolutionize your writing experience.
Word Fairy AI is an innovative writing tool that harnesses the power of artificial intelligence to assist you in crafting exceptional written content. Designed with students in mind, this cutting-edge software is your ultimate writing companion, helping you unlock your full potential and achieve academic excellence.
With Word Fairy AI, the possibilities are endless. Gone are the days of staring at a blank page, unsure of how to begin or develop your ideas. This intelligent tool understands your writing needs and provides you with tailored suggestions, enhancing your creativity and enabling you to produce captivating content effortlessly.
One of the most remarkable features of Word Fairy AI is its ability to generate unique and personalized content. Whether you're working on an essay, research paper, or even a creative piece, this AI-powered tool assists you in crafting original and engaging content that sets you apart from the rest.
How does Word Fairy AI work its magic? By analyzing vast databases of information, this intelligent software learns from the best and most successful writing samples. It understands the intricacies of language, grammar, and style, allowing it to provide you with accurate and relevant suggestions, ensuring your writing is polished and professional.
The user-friendly interface of Word Fairy AI makes it accessible to students of all levels. Whether you're a high school student or pursuing a higher education degree, this tool is designed to cater to your specific needs. Its intuitive layout and well-organized features allow you to navigate seamlessly, saving you valuable time and effort.