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#task is a task that is not interested in any results from other tasks | |
#callback is a task you want to call after each group is finished (ex. log time) | |
# and has to take a list of results as first arguement | |
@app.task(base=Task) | |
def task(i): | |
#do stuff | |
pass | |
@app.task(base=Task) |
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local _aa,aaa,baa,caa=next,type,unpack,select;local daa,_ba=setmetatable,getmetatable | |
local aba,bba=table.insert,table.sort;local cba,dba=table.remove,table.concat | |
local _ca,aca,bca=math.randomseed,math.random,math.huge;local cca,dca,_da=math.floor,math.max,math.min;local ada=rawget;local bda=baa | |
local cda,dda=pairs,ipairs;local __b={}local function a_b(dab,_bb)return dab>_bb end | |
local function b_b(dab,_bb)return dab<_bb end;local function c_b(dab,_bb,abb) | |
return(dab<_bb)and _bb or(dab>abb and abb or dab)end | |
local function d_b(dab,_bb)return _bb and true end;local function _ab(dab)return not dab end;local function aab(dab)local _bb | |
for abb,bbb in cda(dab)do _bb=(_bb or 0)+1 end;return _bb end | |
local function bab(dab,_bb,abb,...)local bbb | |
local cbb=abb or __b.identity;for dbb,_cb in cda(dab)do |
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def offset_cumsum(sf, group_by, ordering, summed_column, starting_element=0, prefix='', suffix='_cumsum'): | |
import graphlab as gl | |
from copy import copy | |
from itertools import islice | |
def _cumsum(l, initial, element=lambda (_, i): i, op=lambda acc, el: acc + el): | |
prev = copy(initial) | |
yield list(l[0] + (copy(initial),)) | |
if isinstance(initial, collections.Iterable): | |
for i in islice(l, 1, None): |
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<!DOCTYPE html> | |
<html> | |
<body> | |
<script src="https://unpkg.com/@lottiefiles/lottie-player@latest/dist/lottie-player.js"></script> | |
<lottie-player src="https://assets3.lottiefiles.com/packages/lf20_hdReMa.json" background="transparent" speed="1" style="width: 300px; height: 300px;" loop controls autoplay></lottie-player> | |
</body> | |
</html> |