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| import collections | |
| import kibanautils | |
| import datetime | |
| import pandas | |
| def df_to_redash(df_orig, index_to_col=False): | |
| import numpy as np | |
| df = df_orig.copy() | |
| if index_to_col: | |
| df.reset_index(inplace=True) |
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| import os | |
| def timer_log(): | |
| os.system("kubectl -n fission get pods | grep timer | awk {'print $1'} > /tmp/a.log") | |
| with open("/tmp/a.log") as fin: | |
| cmd_list = [] | |
| cmd_pod_dict = {} | |
| for line in fin: | |
| pods = line.strip() | |
| os.system("kubectl -n fission logs --tail 100 "+pods+" > /tmp/b.log") | |
| with open("/tmp/b.log") as fin2: |
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| docker run -it --rm -p 43010:43010 -v "$PWD":/mnt namsangboy/mask-rcnn /bin/bash -c "cd /mnt;cp /root/Mask_RCNN/samples/demo.ipynb /mnt/;jupyter notebook --ip=0.0.0.0 --allow-root --port=43010" |
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| import re | |
| import itertools | |
| from bs4 import BeautifulSoup | |
| import requests | |
| import scrapy | |
| def xpath_soup(element): | |
| """ | |
| Generate xpath from BeautifulSoup4 element | |
| :param element: BeautifulSoup4 element. |
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| import sys | |
| from keras.applications.mobilenet import MobileNet | |
| import numpy as np | |
| from keras.preprocessing import image | |
| model = MobileNet(weights='imagenet') | |
| from keras.applications.imagenet_utils import preprocess_input, decode_predictions | |
| img_path = '1543513007_B.jpg' | |
| get_ipython().magic('pinfo image.load_img') | |
| img = image.load_img(img_path, target_size=(224, 224)) | |
| x = image.img_to_array(img) |
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| #coding:utf-8 | |
| import numpy as np | |
| from bottle import route, run, request | |
| import os | |
| import sys | |
| @route('/add') | |
| def get_similar_user(): | |
| name = request.GET.get('name', '') |
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| import importlib, sys | |
| def reload_all(top_module, max_depth=20): | |
| module_type = type(importlib) # get the 'module' type | |
| for_reload = dict() # modules to reload: K=module, V=depth | |
| def trace_reload(module, depth): # recursive | |
| # nonlocal for_reload | |
| depth += 1 | |
| if type(module) == module_type and depth < max_depth: |
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| #coding:utf-8 | |
| import requests | |
| from scrapy.selector import HtmlXPathSelector | |
| u = 'http://mw.cjmall.com/m/oclock/oclockIndex.jsp?app_cd=HMOATV' | |
| u = 'flash.cloudvine.io/1004/etc/85_1_541194e0082e4.json?tsFlash=cfile2.cloudvine.io' | |
| u = 'http://flash.cloudvine.io/1004/etc/85_1_541194e0082e4.json?tsFlash=cfile2.cloudvine.io' | |
| u = 'http://www.nsmall.com/jsp/etv/shopping.jsp' | |
| def cj_test(): | |
| _MOBILE_HEADER = { | |
| 'User-Agent': 'Mozilla/5.0 (Linux; Android 4.1.1; Nexus 7 Build/JRO03D) AppleWebKit/535.19 (KHTML, like Gecko) Chrome/18.0.1025.166 Safari/535.19'} |
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| url = require "net.url" | |
| local async = require 'async' | |
| require('pl.text').format_operator() | |
| require 'neuralconvo' | |
| local tokenizer = require "tokenizer" | |
| local list = require "pl.List" | |
| local options = {} |
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| #!/bin/bash | |
| ES='http://deep3.buzzni.net:9200' | |
| ESIDX='search_info' | |
| ESTYPE='query' | |
| curl -XDELETE $ES/$ESIDX | |
| curl -XPUT $ES/$ESIDX/ -d '{ |
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