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Source channel @cryptosamuraicat · Post #708 · Feb 17

☄️TIME TON - TIME CITY! 🏙️ TimeCity opens its doors! 📆 On February 19, a new digital era begins. The TimeTON community will gain access to the metaverse for the first time, where each object is your future digital asset that generates income and resources. 🗣️ A collection of 5,728 NFTs is the basis of a virtual city that will grow, develop and form a full-fledged digital ecosystem. 🏘 Residential complexes are being built here, where the first residents will settle, business centers and manufacturing enterprises are opening, which will become the heart of the economy. Trading platforms and entertainment areas appear, creating the rhythm of city life. Digital advertising screens light up on the streets, where location owners receive a share of the global advertising market. 👨🏻‍💻 Every user of our community will have access to the first version of the metaverse to watch the construction of the city in real time, explore the first districts and become part of a closed community of NFT owners, where the most valuable opportunities are revealed. 💥 There is very little left… 🔖If you decide to buy NFT - be careful, think twice, you don’t know how it will turn out.#dyor ➡️START GAME 🐱🐱🐱🐱🐱🐱🐱🐱 👉🏻SUBSCRIBE!

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djangoproject

@djangoproject · Post #88 · 07/11/2016, 11:54 AM

https://docs.python.org/3/library/functools.html#functools.partialmethod class #functools.partialmethod(func, *args, **keywords) Return a new #partialmethod descriptor which behaves like partial except that it is designed to be used as a method definition rather than being directly callable. func must be a descriptor or a callable (objects which are both, like normal functions, are handled as descriptors). When func is a descriptor (such as a normal Python function, classmethod(), staticmethod(), abstractmethod() or another instance of partialmethod), calls to __get__ are delegated to the underlying descriptor, and an appropriate partial object returned as the result. When func is a non-descriptor callable, an appropriate bound method is created dynamically. This behaves like a normal Python function when used as a method: the self argument will be inserted as the first positional argument, even before the args and keywords supplied to the partialmethod constructor.

djangoproject

@djangoproject · Post #267 · 02/23/2017, 01:44 PM

https://www.python.org/dev/peps/pep-0443/ This PEP proposes a new mechanism in the #functools standard library module that provides a simple form of generic programming known as #single_dispatch#generic functions. A generic function is composed of multiple functions implementing the same operation for different types. Which implementation should be used during a call is determined by the #dispatch algorithm. When the implementation is chosen based on the type of a single argument, this is known as #single_dispatch . #overloading

djangoproject

@djangoproject · Post #97 · 07/11/2016, 12:18 PM

https://docs.python.org/3/library/asyncio-eventloop.html #Calls Most #asyncio functions don’t accept keywords. If you want to pass #keywords to your callback, use #functools.partial(). For example, #loop.#call_soon(functools.partial(print, "Hello", flush=True)) will call print("Hello", flush=True). #Note functools.partial() is better than lambda functions, because asyncio can inspect functools.partial() object to display parameters in debug mode, whereas lambda functions have a poor representation. BaseEventLoop.call_soon(callback, *args) Arrange for a callback to be called as soon as possible. The callback is called after call_soon() returns, when control returns to the event loop. This operates as a FIFO queue, callbacks are called in the order in which they are registered. Each callback will be called exactly once. Any positional arguments after the callback will be passed to the callback when it is called. An instance of asyncio.Handle is returned, which can be used to cancel the callback. Use functools.partial to pass keywords to the callback. BaseEventLoop.call_soon_threadsafe(callback, *args) Like call_soon(), but thread safe. See the concurrency and multithreading section of the documentation.