$ ssh -A vm
$ git config --global url."[email protected]:".insteadOf "https://github.com/"
$ cat ~/.gitconfig
[url "[email protected]:"]
insteadOf = https://github.com/
$ go get github.com/private/repo && echo Success!
Success!
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// Traverses an arbitrary struct and translates all stings it encounters | |
// | |
// I haven't seen an example for reflection traversing an arbitrary struct, so | |
// I want to share this with you. If you encounter any bugs or want to see | |
// another example please comment. | |
// | |
// The MIT License (MIT) | |
// | |
// Copyright (c) 2014 Heye Vöcking | |
// |
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package main | |
import ( | |
"flag" | |
"log" | |
"net/http" | |
"os" | |
"github.com/fvbock/endless" | |
"github.com/gorilla/mux" |
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package main | |
import ( | |
"fmt" | |
"math/rand" | |
"time" | |
) | |
type World struct { | |
Width int |
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type HighChart struct { | |
Chart struct { | |
Style struct { | |
Color string `json:"color,omitempty"` | |
} `json:"style,omitempty"` | |
RenderTo string `json:"renderTo,omitempty"` | |
BackgroundColor string `json:"backgroundColor,omitempty"` | |
LineColor string `json:"lineColor,omitempty"` | |
PlotShadpw bool `json:"plotShadow,omitempty"` | |
} `json:"chart,omitempty"` |
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(custom-set-variables | |
;; custom-set-variables was added by Custom. | |
;; If you edit it by hand, you could mess it up, so be careful. | |
;; Your init file should contain only one such instance. | |
;; If there is more than one, they won't work right. | |
'(TeX-newline-function (quote newline)) | |
'(auto-image-file-mode t nil (image-file)) | |
'(blink-cursor-mode nil) | |
'(case-fold-search t) | |
'(deft-auto-save-interval 120.0) |
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GET /entries/_search | |
{ | |
"query": { | |
"function_score": { | |
"query": { | |
"filtered": { | |
"query": { | |
"bool": { | |
"must": [ | |
{ |
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function [J grad] = nnCostFunction(nn_params, ... | |
input_layer_size, ... | |
hidden_layer_size, ... | |
num_labels, ... | |
X, y, lambda) | |
%NNCOSTFUNCTION Implements the neural network cost function for a two layer | |
%neural network which performs classification | |
% [J grad] = NNCOSTFUNCTON(nn_params, hidden_layer_size, num_labels, ... | |
% X, y, lambda) computes the cost and gradient of the neural network. The | |
% parameters for the neural network are "unrolled" into the vector |
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func printMemStats() { | |
memstats := new(runtime.MemStats) | |
runtime.ReadMemStats(memstats) | |
s.Log.Printf("memstats before GC: bytes = %d footprint = %d mallocs = %d frees = %d", | |
memstats.HeapAlloc, memstats.Sys, memstats.Mallocs, memstats.Frees) | |
} |
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package main | |
import ( | |
"fmt" | |
"time" | |
"math/rand" | |
"sort" | |
) | |