import re
def main():
    """main method"""
    wordlist = open("allwords.txt").readlines();
    r = re.compile(r"^[a-f]{3,100}$")
    print "\n".join(word[:-1] for word in wordlist if re.match(r,word))

if __name__ == "__main__":
    main()

September 1, 2009

Title: "Dissection of DEN-induced platelet proteome changes reveals the progressively dys-regulated pathways indicative of hepatocarcinogenesis" (google translation result: 剖析登革诱导的血小板的变化揭示了蛋白质组的逐步发育不良调节途径的指示性肝癌)
Tracking #: XXXXX

Author(s):
XXX Leng (Fudan University)
XXXX Liu (Fudan University)
XXXX Yu (Fudan University)
Chen Zhang (Fudan University)
XXXX Du (Fudan University)
XXXX Chen (University of North Carolina at Chapel Hill)


Dear Dr. Zhang,

"Dissection of DEN-induced platelet proteome changes reveals the progressively dys-regulated pathways indicative of hepatocarcinogenesis," for which you participated as an author, was submitted by Dr. Chen and received in our office on August 29, 2009. The manuscript has been assigned tracking number XXXXX.

You may check on the status of your manuscript at any time by clicking the link below and selecting the "Check Status" link:

PNAS License to Publish is collected for most manuscripts at initial submission. The summary below reflects our records of the PNAS License to Publish type selected by the submitting author at that time. Please contact us immediately at PNASAuthorLicense@nas.edu or 202-334-2679 if this information is incorrect or you have any questions. In the event that your manuscript is withdrawn or not accepted for publication in PNAS, the PNAS License to Publish will be terminated and all rights revert to the author(s).
PNAS License to Publish Summary: PNAS License to Publish conveyed to the National Academy of Sciences. PNAS and all authors agree that this agreement will be executed electronically.
PNAS License to Publish Complete: Yes
Date PNAS License to Publish Completed: 2009-08-21

Thank you for submitting to PNAS.

Sincerely yours,

PNAS Editorial Office
(p) 202.334.2679
(f) 202.334.2739
(e) pnas@nas.edu

去掉了个人信息，看来这名字.. 还挺常见的.. 帮别人填邮箱要填对，说不定还是个前后鼻音的问题。

ab -c 100 -t 10 http://127.0.0.1/~Malic/
这里加的参数是保持100个连接的并行度并且持续10s的压力测试

This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking 192.168.11.4 (be patient)
Finished 1123 requests


Server Software:        Apache/2.2.11
Server Hostname:        192.168.11.4
Server Port:            80

Document Path:          /~Malic/
Document Length:        358 bytes

Concurrency Level:      100
Time taken for tests:   10.246 seconds
Complete requests:      1123
Failed requests:        0
Write errors:           0
Non-2xx responses:      1157
Total transferred:      892047 bytes
HTML transferred:       414206 bytes
Requests per second:    109.60 [#/sec] (mean)
Time per request:       912.417 [ms] (mean)
Time per request:       9.124 [ms] (mean, across all concurrent requests)
Transfer rate:          85.02 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0   47 107.5      1     515
Processing:    41  807 243.3    803    2419
Waiting:       24  776 240.2    778    2419
Total:         55  854 248.2    834    2420

Percentage of the requests served within a certain time (ms)
  50%    834
  66%    910
  75%    989
  80%   1051
  90%   1134
  95%   1305
  98%   1421
  99%   1597
 100%   2420 (longest request)

import re
word_dict = {}
words = re.findall('[a-z]+', open('big.txt').read().lower()) 
for w in words:
  if w not in word_dict.keys():
    word_dict[w] = 1
  else:
    word_dict[w] += 1

import re, collections
word_dict = collections.defaultdict(int)
words = re.findall('[a-z]+', open('big.txt').read().lower()) 
for w in words:
    word_dict[w] += 1