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def get_chained_select_choices(content_type, depth=1, with_field_types=False): | |
""" Gets field names from the content_type. | |
depth=1 means return any fk or manytomany fields as well | |
TODO: depth>1 is not implemented yet | |
""" | |
if depth > 1: | |
raise Exception("depth should be 0 or 1") | |
# helpers | |
model_klass = content_type.model_class() |
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#!/usr/bin/python | |
# -*- coding: utf-8 -*- | |
import sys | |
reload(sys) | |
sys.setdefaultencoding('utf-8') | |
import vkontakte | |
import sys | |
import ipdb |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="UTF-8"> | |
<title>CodePen - Modern HTML5 Lightbox in 12 Lines of JavaScript</title> | |
<style> | |
dialog { | |
position: fixed; | |
left: 50%; |
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#!/bin/bash | |
$(cd pages && python -m SimpleHTTPServer ) & | |
while true; do | |
change=$(inotifywait -r -e close_write,moved_to,create templates/*) | |
change=${change#./templates/* } | |
(./render_test_airline.py && echo -e "\033[1;32mtemplate recompiled\033[0m") || echo -e "\033[1;31merror!\033[0m" | |
done |
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class BulletProof(object): | |
def __getattribute__(self, name): | |
if name == '__class__': | |
return super(BulletProof, self).__getattribute__(name) | |
return BulletProof() | |
def __str__(self): | |
return '' | |
b = BulletProof() | |
print(b.asdas.sdgfd.gd.dfg.dfg.gdfhgftg.h.dfgfgh) |
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from queue import Queue | |
import threading | |
class GeneratedQueue(Queue): | |
""" | |
usage: | |
for item in q.each(): |
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#!/usr/bin/python3 | |
# parent.py | |
import sys | |
from subprocess import Popen, PIPE | |
with Popen([sys.executable, "child.py"], stdout=PIPE, stdin=PIPE, bufsize=1, | |
universal_newlines=True) as p: | |
for line in sys.stdin: | |
line = line.rstrip('\n') | |
print(line, file=p.stdin, flush=True) |
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#!/bin/bash | |
# chkconfig: 345 96 4 | |
NAME=uwsgi | |
DESC=uwsgi | |
PIDFILE=/home/aviasales/.uwsgi.pid | |
USER=aviasales | |
# Source function library. | |
. /etc/init.d/functions |
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user www-data; | |
worker_processes auto; | |
pid /run/nginx.pid; | |
events { | |
worker_connections 768; | |
# multi_accept on; | |
} | |
http { |
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#!/usr/bin/env python | |
""" | |
Simple Flask application to demonstrate the Google Speech API usage. | |
Install the requirements first: | |
`pip install SpeechRecognition flask` | |
Then just run this file, go to http://127.0.0.1:5000/ | |
and upload an audio (or may be even video) file there, using the html form. | |
(I've tested it with a .wav file only - relying on Google here). |
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