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#!/bin/bash | |
# Description: Using Docker (requires docker to be installed http://www.docker.io/gettingstarted/ ), spawn a postgresql instance and a dynamically configured treeio instance | |
# Also requires postgresql client tools http://www.postgresql.org/download/linux/ubuntu/ | |
# Run chmod +x to make this file executable then run it: ./docker_create_treeio.sh | |
# Author: Adam Awan | |
# Email: [email protected] | |
# Set the port to forward for Tree.io | |
TREEIO_PORT="80" |
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cmake_minimum_required(VERSION 2.8) | |
function(use_llvm TARGET) | |
message("ARGC=\"${ARGC}\"") | |
message("ARGN=\"${ARGN}\"") | |
message("ARGV=\"${ARGV}\"") | |
message("ARGV0=\"${ARGV0}\"") | |
message("ARGV1=\"${ARGV1}\"") | |
endfunction() |
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# find all files linked to application | |
mdfind -name "bitbar" | |
# remove fully an application | |
sudo rm -rif ~/Directory/Component/Removeme.pane | |
sudo rm -rif /TheLibrary/LaunchDaemons/sketchyd | |
sudo rm -rif /usr/sbin/crudrunner | |
sudo rm -rif ~/Download/sketchydaemon-installer.tgz | |
mdfind -name [application name] |
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# Reset | |
NoColor='\[\e[m\]' # Text Reset | |
# Regular Colors | |
Black='\[\e[0;30m\]' # Black | |
Red='\[\e[0;31m\]' # Red | |
Green='\[\e[0;32m\]' # Green | |
Yellow='\[\e[0;33m\]' # Yellow | |
Blue='\[\e[0;34m\]' # Blue | |
Purple='\[\e[0;35m\]' # Purple |
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#!/bin/sh | |
# import common helper functions | |
. common_build_functions.sh | |
function UUClearCrashlyticsKeyAndSecret | |
{ | |
if [ $# != 1 ] | |
then | |
echo "Usage: UUClearCrashlyticsKeyAndSecret [Android manifest path]" |
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import asyncio | |
import logging | |
import aiohttp | |
from aiohttp import web | |
from auth.utils import login_required | |
import aiodocker | |
from aiodocker.docker import Docker | |
from aiodocker.exceptions import DockerError | |
log = logging.getLogger(__name__) |
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package main | |
import ( | |
"fmt" | |
"io" | |
"os" | |
) | |
var path = "/Users/novalagung/Documents/temp/test.txt" |
This gist has been superceded by Meta Graph functionality that has since been added to tensorflow core.
The code remains posted for archival purposes only.
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import yaml | |
import json | |
import pandas as pd | |
df = pd.DataFrame({'one': [1.0, 2.1, 3.2], 'two': [4.3, 5.4, 6.5]}) | |
with open('df.yml', 'w') as file: | |
yaml.dump({'result': json.loads(df.to_json(orient='records'))}, file, default_flow_style=False) |
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