各种各样的python工具。一些用法：取整日期时间、验证输入数据、按计划执行函数、解析argv
fons的Python项目详细描述
fons公司
用于各种用途的Python库。在
fons-拉丁语表示“源”
一些有用的函数和类：
* aio.call_via_loop_afut - call a (async)function via (another) loop (possibly running in a different thread),
returns async future with pending result/exception thrown of the function
* argv.parse_argv - for parsing input sys.argv into dict values and list values, modifying them, and de-parsing
* func.(async_)limitcalls - a decorator for setting rate limit to (async) function/method
@limitcalls(1, 5, action='sleep')
def f(): pass -> f can only be called once per every 5 seconds, sleeps until that delay is reached
* io.update_settings - load dict from settings file, supporting multiple configs in the same or different files
* iter.flatten - "flatten" a nested list (iterator): list(flatten([2,{3:4},[5,6,(7,)],'89'])) -> [2,{3:4},5,6,7,'89']
(by default includes only "known" iterators; doesn't include: dicts, strings, namedtuples, custom defined classes)
* iter.fliter - "flatten" any iterable: list(fliter([2,{3:4},[5,6,(7,)],'89'])) -> [2,3,4,5,6,7,'8','9']
* iter.unique - keep each value of iterator only once: list(unique([2,3,2])) -> [2,3]
* sched.(Async)Ticker.loop - repeatedly execute a (async)function with a set interval (supports pandas offsets, e.g. '1B')
* time.dt_round - round datetime: dt_round(datetime.datetime(2016,3,1,2), 'D') -> datetime.datetime(2016,3,1)
* verify.verify_data - assert the correctness of input data (useful for avoiding accidental user config mistypes)
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