def sort_by_date(vers):
lst = [[date, ver] for ver, date in vers.items()]
lst.sort()
sorted = odic()
for date, ver in lst:
sorted[ver] = date
return sorted
def get_package_info(p, stable_only=True, debug=False):
dates = get_package_dates(p)
if not dates:
return None
cmd = ["pip", "install", "{0}==blarchy".format(p)]
s, ok = rrun(cmd)
if ok:
raw = s.split(",")
raw[0] = raw[0].split("versions:")[1].strip()
raw[-1] = raw[-1].split(")\n")[0].strip()
# pprint(raw)
vers = odic()
for x in raw:
x = x.strip()
if stable_only:
if not ver_is_stable(x):
continue
if x in dates:
vers[x] = dates[x]
else:
if debug:
print("# Warning: version in pip not in pypi:", x)
for x in dates:
if not ver_is_stable(x):
continue
if x not in vers:
if debug:
print("# Warning: version in pypi not in pip:", x)
if len(vers) == 0 and stable_only:
print("# Warning: No candidates found for {0} - try --unstable".
format(p))
return vers
def get_package_dates(p):
#https://pypi.org/pypi/mido/json
url = "https://pypi.org/pypi/{0}/json".format(p)
j = requests.get(url).content
try:
data = json.loads(j)
except:
print("# warning: could not find page for {0}".format(p))
return None
vers = odic()
for x in data['releases']:
for y in data['releases'][x]:
# print (x, y['upload_time'])
date = dup.parse(y['upload_time'])
vers[x] = date # FIXME: multiple uploads possible
return vers
def __init__(self, status=None, message=None):
"""
Nagios responses are expected to be in a very specific format, and
this class allows these responses to easily be built up and extracted
in the proper format.
This class makes it easy to set the status, message, and performance
data for a response.
:Parameters:
- `status` (optional): A :py:class:`~pynagios.status.Status` object
representing the status of the response.
- `message` (optional): An information message to include with the
output.
"""
self.status = status
self.message = message
self.perf_data = odic({})
#coding=utf-8
'''
比较只留中文和什么都不去除的区别
'''
from __future__ import division
import sys
reload(sys)
sys.setdefaultencoding('utf-8') # @UndefinedVariable
import toolkit.data as dt
from collections import OrderedDict as odic
dic_write=odic({})
with open(r'./data_in/traffic_word.txt','rb') as somefile:
for line in somefile:
word= line.strip() #去除换行符号
word=dt.getunicode(word)
dic_write[word]=[[],[]] # 第一个为Chinese 第二个装非chinese
import gensim
# 第一个模型
model = gensim.models.Word2Vec.load_word2vec_format("chinese_out.vector", binary=False)
for word in dic_write:
try:
b=model.most_similar(word,topn=30)
for tu in b:
dic_write[word][0].append(tu[0]+str(tu[1]))
except:
dic_write[word][0]=["该词不存在于词典"]
finally:
###练习8 简单统计
from collections import Counter
import pandas as ps
from collections import OrderedDict as odic
content = ps.read_csv("./data.csv")
print(content, "\n", type(content))
print(content.values[0])
c = Counter(content.values[0])
data = {"go": "0.1", "java": "1.9", "python": "1.6", "c++": "3.0"}
order = odic(data)
print(order)