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KNOT AGENT JSON PARAMETER DOCS AGENT MENGGUNAKAN LIBKNOT

Semua parameter agent json sama dengan parameter LIBKNOT

• LIBKNOT PYTHON
• RESTKNOT AGENT

PENJELASAN

perhatikan json berikut ini :

{
 "command-set": {

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Default

Powerlevel9k

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MIT License

Copyright (c) 2018 Josh Bode

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

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#include <string> 
#include <locale> 
#include <codecvt> 
 
//UTF-8 to UTF-16 
std::string source; 
//... 
std::wstring_convert<std::codecvt_utf8_utf16<char16_t>,char16_t> convert; 
std::u16string dest = convert.from_bytes(source);     
 

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# Below are the dependencies required for installing the common combination of numpy, scipy, pandas and matplotlib 
# in an Alpine based Docker image.
FROM alpine:3.4
RUN echo "http://dl-8.alpinelinux.org/alpine/edge/community" >> /etc/apk/repositories
RUN apk --no-cache --update-cache add gcc gfortran python python-dev py-pip build-base wget freetype-dev libpng-dev openblas-dev
RUN ln -s /usr/include/locale.h /usr/include/xlocale.h
RUN pip install numpy scipy pandas matplotlib

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{
	"networks": {
		"PLSK-network-default": {
			"parameters": {
				"cidr": "192.168.69.0/24",
				"gateway": "192.168.69.1"
			},
			"template": "private"
 }

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heat_template_version: 2013-05-23

description: Single compute instance running cirros in a Docker container.

parameters:
  private_net_id:
    type: string
    description: Neutron Network ID for the server
  public_net_id:
    type: string

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#!/bin/sh
# Install brew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# Apple hides old versions of stuff at https://developer.apple.com/download/more/
# Install the latest XCode (8.0).
#   We used to install the XCode Command Line Tools 7.3 here, but that would just upset the most recent versions of brew.
#   So we're going to install all our brew dependencies first, and then downgrade the tools. You can switch back after
#   you have installed caffe.
# Install CUDA toolkit 8.0 release candidate
#   Register and download from https://developer.nvidia.com/cuda-release-candidate-download

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# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!

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Create a branch with the tag

	git branch {tagname}-branch {tagname}
	git checkout {tagname}-branch

Include the fix manually if it's just a change ....

	git add .
	git ci -m "Fix included" # or cherry-pick the commit, whatever is easier
	git cherry-pick {num_commit}