changkun

import Foundation
import objc
import AppKit
import sys

NSUserNotification = objc.lookUpClass('NSUserNotification')
NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter')

def notify(title, subtitle, info_text, delay=0, sound=False, userInfo={}):
	notification = NSUserNotification.alloc().init()

changkun

from keras.layers.core import Layer  
from keras import initializers, regularizers, constraints  
from keras import backend as K

class Attention(Layer):
    def __init__(self,
                 kernel_regularizer=None, bias_regularizer=None,
                 kernel_constraint=None, bias_constraint=None,
                 use_bias=True, **kwargs):
        """

changkun

Go (Golang) GOOS and GOARCH

All of the following information is based on go version go1.8.3 darwin/amd64.

A list of valid GOOS values

(Bold = supported by go out of the box, ie. without the help of a C compiler, etc.)

• android
• darwin

changkun

FILENAME=$(basename $(pwd))
go test -run=. -bench=. -cpuprofile=cpu.out -benchmem -memprofile=mem.out -trace trace.out
go tool pprof -pdf $FILENAME.test cpu.out > cpu.pdf && open cpu.pdf
go tool pprof -pdf --alloc_space $FILENAME.test mem.out > alloc_space.pdf && open alloc_space.pdf
go tool pprof -pdf --alloc_objects $FILENAME.test mem.out > alloc_objects.pdf && open alloc_objects.pdf
go tool pprof -pdf --inuse_space $FILENAME.test mem.out > inuse_space.pdf && open inuse_space.pdf
go tool pprof -pdf --inuse_objects $FILENAME.test mem.out > inuse_objects.pdf && open inuse_objects.pdf
go tool trace trace.out

go-torch $FILENAME.test cpu.out -f ${FILENAME}_cpu.svg && open ${FILENAME}_cpu.svg

changkun

OpenGL Development on OS X

While it's possible to download packages and install them manually, it's such a hassle. Fortunately for us, OS X has an unofficial package manager called http://brew.sh Let's install it. Open you Terminal and paste the following code:

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Great. Homebrew will automatically install packages to /usr/local. Conveniently, that directory is already in your include and link paths.

changkun

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

changkun

import gdb

_Gdead = 6

class SliceValue:
    """Wrapper for slice values."""

    def __init__(self, val):
        self.val = val

changkun

Problem

A lot of GitHub projects need to have pretty math formulas in READMEs, wikis or other markdown pages. The desired approach would be to just write inline LaTeX-style formulas like this:

$e^{i \pi} = -1$

Unfortunately, GitHub does not support inline formulas. The issue is tracked here.

Investigation

changkun

// How to build: "CC=clang go build"

package main

import (
	"fmt"
	"net/url"
	"strconv"
	"unsafe"
)

changkun

        readinessProbe:
          exec:
            command: ["/root/grpc_health_probe", "-addr=:6666"]
          initialDelaySeconds: 1
        livenessProbe:
          exec:
            command: ["/root/grpc_health_probe", "-addr=:6666"]
          initialDelaySeconds: 2
        imagePullPolicy: IfNotPresent