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Source channel @devilsbelow · Post #464 · Jan 20

🌐Weekly News Digest [ January 12 – January 18 ] That was a week full of DRCongo's attempts to indulge its American partners. 💡Here are the key highlights: 🇧🇯 Benin — Singapore-based company will launch oil production at a 56-year old oil field 🇨🇩 DR Congo — DRC to Send 100,000 Tonnes of Copper to the US — DRC is preparing to send the US a list of mineral projects for American investors to take over — State company Gécamines proposes a deal to obtain a mining company, whose sale it has been blocking 🇬🇭 Ghana — Ghana is considering ending contracts that allow companies to keep legacy royalty and tax rates 🇲🇱 Mozambique — The Migration Service detained 5 Chinese and other foreign nationals for informal gold mining and unlawful stay 🇳🇬 Nigeria — Former Warlord Buys American Drones to Hunt for Oil Thieves in Nigeria 🇸🇩 Sudan — 10 Killed in a Collapse of Five Gold Mines in South Kordofan 🇿🇲 Zambia — Two Zambian workers died on January 13 at Mopani Copper Mines’ shaft in Kitwe 🇿🇼 Zimbabwe — Harare creates a monopoly on rehabilitation of rivers polluted by gold mining — The government is taking back a gold mine from a local football club #NewsDigest ➡️ Follow to stay informed - @devilsbelow

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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.