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imp_logs.RecordUserAction(imp_logs.ROCK_PAPER_SCISSORS, "Save user actions", imp_logs.ActionRecordFormat{
			RoundID:  pGame.GetRoundId(),
			GameCode: pGame.GameCode,
			Oid:      pGame.GetOid(),
			PfID:     pPlayer.GetPfAccount(),
			Data: PlayerActionESFormat{
				ActionType: request.Event,
				Data:       params.payload,
			},
		})

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export VSCODE_PATH=/Applications/Visual\ Studio\ Code.app/Contents/Resources/app

# Set name of the theme to load. Optionally, if you set this to "random"
# it'll load a random theme each time that oh-my-zsh is loaded.
# See https://github.com/robbyrussell/oh-my-zsh/wiki/Themes
ZSH_THEME="powerlevel9k/powerlevel9k"

# command line 左邊想顯示的內容
POWERLEVEL9K_LEFT_PROMPT_ELEMENTS=(dir vcs)

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def combinations(n):
    dp = [ [0 for _ in range(n)] for _ in range(n) ]

    dp[0][0] = 1
    dp[1][1] = 1

    for i in range(2, n):
        dp[i][1] = i
        dp[i][i] = 1
        for j in range(2, n):

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def combinations(n):
    dp = [ [0 for _ in range(n)] for _ in range(n) ]

    dp[0][0] = 1
    dp[1][1] = 1

    for i in range(2, n):
        dp[i][1] = i
        dp[i][i] = 1
        for j in range(2, n):

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const path = require('path')
const fs = require('fs')

let cssFolder = path.resolve(__dirname, '../build/static/css')
let jsFolder = path.resolve(__dirname, '../build/static/js')

// var jsfiles = fs.readdirSync()

// read in css content
var cssContent = null

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.then(data => {
    data.map(function(label) {
        comment_count = 0;
        label.processes.map(function(process) {
            process.group.sentence = process.group.sentence.trim().split(',');
            comment_count += process.group.sentence.length;
        });
        label['comment_count'] = comment_count;
    });
});

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from flask import render_template, request, redirect
from app.model import get_result_with_text
from app import app


conversations = []

@app.route('/')
@app.route('/index')
def home():

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  # cuda path
  export LD_LIBRARY_PATH="/usr/local/cuda-8.0/lib64:/usr/local/cuda-8.0/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
  export CUDA_HOME="/usr/local/cuda-8.0"
  export PATH="$PATH:$CUDA_HOME/bin"
  export CUDNN_HOME=${CUDA_HOME}
  export TF_NEED_CUDA=1
  export CUDA_TOOLKIT_PATH=$CUDA_HOME
  export TF_CUDA_VERSION=8.0
  export TF_CUDNN_VERSION=5
  export CUDNN_INSTALL_PATH=$CUDA_HOME

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echo 'Bob brought the pizza to Alice.' | syntaxnet/demo.sh

2017-04-19 16:47:21.770904: W external/org_tensorflow/tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-04-19 16:47:21.770922: W external/org_tensorflow/tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-04-19 16:47:21.770928: W external/org_tensorflow/tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-04-19 16:47:21.770930: W external/org_tensorflow/tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could spee

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#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <arpa/inet.h>

#define BUFFER_SIZE 512
#define SERVER_PORT 3000