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%%% | |
%%% ejabberd configuration file | |
%%% | |
%%% The parameters used in this configuration file are explained in more detail | |
%%% in the ejabberd Installation and Operation Guide. | |
%%% Please consult the Guide in case of doubts, it is included in | |
%%% your copy of ejabberd, and is also available online at | |
%%% http://www.process-one.net/en/ejabberd/docs/ |
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2014-05-26 00:18:22,040 [INFO] [broadcast] broadcast e96a2f61-fdd6-45d9-9be7-b50931e3fc33: 291 bytes in 1 blocks | |
2014-05-26 00:18:22,048 [INFO] [broadcast] broadcast 14e902be-8d9b-4a47-809e-589e7a1b6a34: 5 bytes in 1 blocks | |
2014-05-26 00:18:22,049 [INFO] [broadcast] broadcast 5d791168-2b67-428d-95ce-b7b83981a890: 3218 bytes in 1 blocks | |
2014-05-26 00:18:22,087 [INFO] [scheduler] Got job 1 with 693 tasks: <FlatMappedRDD <UnionRDD 1 <UnionRDD 24 <GZipFileRDD /mfs/logs/out-2014052500.log.gz> ...> ...>> | |
2014-05-26 00:19:41,069 [INFO] [job ] Job 1 finished in 79.0s: min=1.4s, avg=5.4s, max=9.2s, maxtry=1 | |
2014-05-26 00:19:41,128 [INFO] [scheduler] Got job 2 with 441 tasks: <MappedRDD <FilteredRDD <MappedRDD <ShuffledRDD <FlatMappedRDD <UnionRDD 1 <UnionRDD 24 <GZipFileRDD /mfs/logs/out-2014052500.log.gz> ...> ...>>>>>> | |
2014-05-26 00:19:41,132 [INFO] [scheduler] Got job 3 with 441 tasks: <MappedRDD <FilteredRDD <MappedRDD <Shuffl |
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def curry(x) | |
u = bigObj(x) | |
def f1(y); | |
def f(a, b): | |
pass | |
return f(u, 10) | |
curr(10)(1) # 局部变量 u 会被创建 | |
curr(10)(2) # 这是 u 会重新被创建,还是使用上一个语句 u 的缓存 |
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#!/usr/bin/env python | |
def curry(x): | |
u = bigObj(x) | |
def f1(y); | |
def f(a, b): | |
pass | |
return f(u, 10) | |
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#当前架构 | |
heka(日志收集器) -> ElasticSearch(分布式搜索引擎,相当于数据库) -> Kibana(界面展现) | |
##Heka | |
- 日志收集服务 | |
- Mozilla出品 | |
- Golang编写 | |
- 轻量却功能强大 | |
- 灵活易用 | |
- Go/Lua扩展 |
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worddict = set() | |
with open ('words.txt') as fh: | |
lines = fh.readlines() | |
for element in lines: | |
words = element.rstrip() | |
worddict.add(words) | |
print '{0} words in spelling words'.format(len(worddict)) | |
with open ('3-2_example.txt') as ex: |
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year_input = raw_input('Please enter a 4-digit year: ') | |
mylist = [] | |
with open('F-F_Research_Data_Factors_daily.txt') as fh: | |
lines = fh.readlines() | |
slicedline = lines[6:-2] | |
header = lines[5].split() | |
for element in slicedline: | |
yearstr.mkt.smb.hml.rf = element.split() |
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#!/usr/bin/env python2 | |
try: | |
year_input = int(raw_input('Please enter a 4-digit year: ')) | |
except: | |
exit('1st arg must be 4-digit year between 1926 and 2012') | |
factor_input = raw_input('please enter a Fama-French factor: ') | |
mylist = [] | |
with open('F-F_Research_Data_Factors_daily.txt') as fh: |
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year_input = raw_input('Please enter a 4-digit year: ') | |
mylist = [] | |
with open('F-F_Research_Data_Factors_daily.txt') as fh: | |
lines = fh.readlines() | |
slicedline = lines[6:-2] | |
header = lines[5].split() | |
for element in slicedline: | |
yearstr = element.split()[0] |
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#!/usr/bin/env python2 | |
import urllib | |
import urllib2 | |
import json | |
data = {'test': 'value'} | |
data = json.dumps(data) | |
url = "http://10.20.72.96:8181/api/send/5556?gm_url=http://192.168.65.156:9002/sendmail&menu_id=1" | |
#data = urllib.urlencode(data) |