LOOPS Time Limit: 15000/5000 MS (Java/Others) Memory Limit: 125536/65536 K (Java/Others) Total Submission...But because of the plot of the Boss Incubator, she is trapped in a labyrinth called LOOPS. ?...The planform of the LOOPS is a rectangle of R*C grids....At the beginning Homura is in the top left corner of the LOOPS ((1, 1)), and the exit of the labyrinth...portal, your task is help poor Homura calculate the EXPECT magic power she need to escape from the LOOPS
** 事件循环，即 Event Loops。用于协调事件、用户交互、JavaScript 脚本、DOM 渲染、网络请求等等的执行顺序问题。...to=https%3A%2F%2Fhtml.spec.whatwg.org%2Fmultipage%2Fwebappapis.html%23event-loops) * [并发模型与事件循环 - JavaScript
进一步分析发现染色质环中有很大部分为promoter-enhancer loops， 这也解释了增强子对靶基因的调控机制，虽然增强子与靶基因线性距离很远，但是增强子与靶基因启动子位于一个染色质环上，空间距离近
全称Fruity Loops Studio，通常被叫作水果音乐制作软件，是一个全能的音乐制作环境、数字音频工作站（DAW），可以用来进行编曲、剪辑、录音、混音，让计算机成为一个全功能录音室。
FL studio（全称：Fruity Loops Studio，也称水果），简称FL，是一种音乐编辑器。创始人Image Line BVBA!
FL Studio水果编曲英文名：Fruity Loops Studio，简称FL，是国人熟知的水果编曲工具，圈内音乐人习惯叫它“水果”。
FL Studio是一款音乐编曲软件，全称：Fruity Loops Studio，也是我们经常说的水果音乐软件，该软件功能强大，让你拥有全功能的录音室、大混音盘、让你的音乐突破你的想象力。
Test (time for 1000000 number of loops): 58.000000 2....Test (time for 1000000 number of loops): 58.000000 3....Test (time for 1000000 number of loops): 58.000000 4....Test (time for 1000000 number of loops): 58.000000 5....Test (time for 1000000 number of loops): 58.000000 6.
------ Hash Right Join (cost=89.82..337.92 rows=17877 width=540) (actual time=0.053..0.059 rows=3 loops...t1.id) -> Seq Scan on t3 (cost=0.00..32.60 rows=2260 width=8) (actual time=0.002..0.002 rows=3 loops...=1) -> Hash (cost=1.03..1.03 rows=3 width=8) (actual time=0.005..0.005 rows=3 loops=1)...=1) -> Hash (cost=1.03..1.03 rows=3 width=8) (actual time=0.005..0.005 rows=3 loops=1)...=1) -> Hash (cost=1.03..1.03 rows=3 width=8) (actual time=0.006..0.006 rows=3 loops=1)
--- HashAggregate (cost=1194.15..1206.65 rows=1000 width=59) (actual time=20.612..21.072 rows=958 loops...-> Hash Join (cost=715.56..1084.68 rows=14596 width=29) (actual time=5.115..16.883 rows=14596 loops...Seq Scan on payment p (cost=0.00..253.96 rows=14596 width=10) (actual time=0.005..1.142 rows=14596 loops...-> Hash (cost=70.81..70.81 rows=4581 width=6) (actual time=0.879..0.880 rows=4581 loops...=1) -> Hash (cost=64.00..64.00 rows=1000 width=19) (actual time=0.318..0.318 rows=1000 loops
, best of 3: 287 µs per loop100 loops, best of 3: 214 µs per loop100 loops, best of 3: 128 µs per loop100...(a) ...:100000 loops, best of 3: 11.8 µs per loop join对于累加的方式，有大约5倍的提升。..., best of 3: 183 ns per loop100000 loops, best of 3: 169 ns per loop100000 loops, best of 3: 103 ns per...loop10000 loops, best of 3: 16.9 ns per loop **就是快10倍以上！..., best of 3: 16.8 ms per loop100 loops, best of 3: 2.02 ms per loop100 loops, best of 3: 798 µs per loop
, best of 3: 287 µs per loop 7100 loops, best of 3: 214 µs per loop 8100 loops, best of 3: 128 µs per..., best of 3: 183 ns per loop 6100000 loops, best of 3: 169 ns per loop 7100000 loops, best of 3: 103...ns per loop10000 loops, best of 3: 16.9 ns per loop **就是快10倍以上！..., best of 3: 1.58 ms per loop 7100 loops, best of 3: 17 ms per loop 由c实现的包，速度快10倍以上！..., best of 3: 16.8 ms per loop 11100 loops, best of 3: 2.02 ms per loop 12100 loops, best of 3: 798 µs
,best of3:569µsper loop 1000loops,best of3:256µsper loop 7....,best of3:287µsper loop 100loops,best of3:214µsper loop 100loops,best of3:128µsper loop 100loops,best...,best of3:183ns per loop 100000loops,best of3:169ns per loop 100000loops,best of3:103ns per loop 三种情况中...使用**而不是pow %timeit-n10000c=pow(2,20) %timeit-n10000c=2**20 10000loops,best of3:284ns per loop 10000loops...,best of3:16.8ms per loop 100loops,best of3:2.02ms per loop 100loops,best of3:798µsper loop 可见json比cPickle
Subquery Scan on ranked_scores (cost=0.14..3.58 rows=1 width=16) (actual time=0.027..0.032 rows=3 loops...=1) -> Limit (cost=3.57..3.57 rows=1 width=8) (actual time=0.063..0.067 rows=2 loops...=1) -> Sort (cost=8.13..8.13 rows=1 width=254) (actual time=0.134..0.135 rows=4 loops=1)...=1) -> GroupAggregate (cost=3.71..5.77 rows=1 width=36) (actual time=0.072..0.079 rows=2 loops=1...=1) -> Limit (cost=3.57..3.57 rows=1 width=8) (actual time=0.045..0.049 rows=2 loops
-12') and (o.requiredDate loops...select #2)) and (d.orderNumber = (select #2))) (cost=0.65 rows=4) (actual time=0.009..0.011 rows=4 loops...and (orders.requiredDate loops...and (orders.requiredDate loops...=1) -> Nested loop left join (cost=1.89 rows=9) (actual time=0.034..0.039 rows=4 loops=1)
Seq Scan on db_jcxx.t_jcxxgl_tjaj (cost=0.00..9.76 rows= width=) (actual time=1.031..1.055 rows= loops...=) -> Sort (cost=36328.67..36328.68 rows= width=) (actual time=88957.653..88957.672 rows= loops=)...Nested Loop Semi Join (cost=17099.76..36328.66 rows= width=) (actual time=277.794..88932.662 rows= loops...=) -> Nested Loop (cost=3223.92..3231.97 rows= width=) (actual time=127.285..127.496 rows= loops=)...=) -> Nested Loop (cost=1.12..2547.17 rows= width=) (actual time=0.136..0.689 rows= loops=)
Seq Scan on db_test.t_test(cost=0.00..22.32 rows=1032 width=56) (actual time=0.060..1.167 rows=1032 loops...loops=1，#循环的次数 Output，#输出的字段名 Buffers，#缓冲命中数 shared read，#代表数据来自disk(磁盘)而并非cache(缓存)，当再次执行sql，会发现变成shared...Scan on db_test.t_ms_aj (cost=0.00..22.32 rows=1032 width=56) (actual time=0.060..1.167 rows=1032 loops...=2) -> Sort (cost=73.98..76.56 rows=1032 width=52) (actual time=2.963..3.154 rows=338 loops...-> Nested Loop (cost=743.92..3214.11 rows=1 width=0) (actual time=8.702..61097.110 rows=1461 loops=
: 9.835 ms (15 rows) Limit (cost=511.60..511.62 rows=5 width=33) (actual time=9.752..9.755 rows=5 loops...=1) -> Sort (cost=511.60..513.10 rows=599 width=33) (actual time=9.751..9.753 rows=5 loops=1)...-> HashAggregate (cost=495.66..501.65 rows=599 width=33) (actual time=9.555..9.645 rows=599 loops...> Seq Scan on rental (cost=0.00..310.44 rows=16044 width=18) (actual time=0.006..1.233 rows=16044 loops...=1) -> Sort (cost=1847.14..1848.64 rows=599 width=33) (actual time=17.281..17.284 rows=5 loops=1
For loops are mostcommonly used for iterating over the elements of an object (list, vector, etc.) for...These following loops have the samebehavior: x<- c("a", "b", "c", "d") for(iin 1:4) { print(x[i]) }...for loops can be nested. x<- matrix(1:6, 2, 3) for(iin seq_len(nrow(x))) { for(j in seq_len(ncol(x...Nestingbeyond 2–3 levels is often very difficult to read/understand While While loops begin by testing...can potentially result ininfinite loops if not written properly.
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