on 2012-02-22 16:07:17 CST
someone said ..
做代工不需人才
reply
goto
on 2012-01-10 11:33:19 CST
yungyuc said ..
PyHUG 下個月的時間確定到二月十五號。你的 talk 要不要就用 mqskit 當 topic，還是要另外取一個？另外取的話請用英文喔！
Thanks
on 2012-01-09 09:52:15 CST
Thinker said ..
很抱歉，我會找時間改善留言系統。
對於 functional programming language 而言，確實天生就支援這樣的 coding 方式。
而 python 可以使用 lambda 完成。
on 2012-01-09 02:01:17 CST
鳳 said ..
再試一次格式... 源碼在 https://gist.github.com/1579130 。
{{{#!python
mul_n_sum :: String -> Int
mul_n_sum str = result
where
result = sum value_of_lines
value_of_lines = [ field1 * field2 | [field1, field2] <- field_lines ]
field_lines = [ [read txt1, read txt2] | [txt1, txt2] <- txt_lines ]
txt_lines = [ words line | line <- lines str ]
}}}
on 2012-01-09 02:00:11 CST
鳳 said ..
修正格式。
{{{#!haskell
mul_n_sum :: String -> Int
mul_n_sum str = result
where
result = sum value_of_lines
value_of_lines = [ field1 * field2 | [field1, field2] <- field_lines ]
field_lines = [ [read txt1, read txt2] | [txt1, txt2] <- txt_lines ]
txt_lines = [ words line | line <- lines str ]
}}}
on 2012-01-09 01:58:37 CST
鳳 said ..
用 Haskell 的 where，可以從上到下，逆序書寫:
mul_n_sum :: String -> Int
mul_n_sum str = result
where
result = sum value_of_lines
value_of_lines = [ field1 * field2 | [field1, field2] <- field_lines ]
field_lines = [ [read txt1, read txt2] | [txt1, txt2] <- txt_lines ]
txt_lines = [ words line | line <- lines str ]
on 2012-01-06 18:05:41 CST
IKARi said ..
大推Thinker大的這篇好文！
後面關於複雜度的討論，讓我想到最近在用的tool: Source Monitor, 可以評量一份source code的複雜度，而複雜度的metrics即是從code complete裡的定義而來
如
C Metrics:
https://gist.github.com/1569929 (格式沒有重新折行)
stackoverflow的討論：
How to interpret code metrics (calculated by SourceMonitor) - Stack Overflow
http://stackoverflow.com/questions/134266/how-to-interpret-code-metrics-calculated-by-sourcemonitor
tools - Calculate code metrics - Stack Overflow
http://stackoverflow.com/questions/60394/calculate-code-metrics
也許可以參考看看！