thinhdanggroup

package com.thinhda.spring.grpc.core.config;

import lombok.Data;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.http.converter.protobuf.ProtobufJsonFormatHttpMessageConverter;
import org.springframework.web.filter.CommonsRequestLoggingFilter;

@Data
@Configuration

thinhdanggroup

syntax = "proto3";

// options for Java generated sources
option java_multiple_files = true;
option java_package = "com.thinhda.spring.grpc.core.model";
option java_outer_classname = "CoreGrpcApi";

package sms.core;

message PingRequest {

thinhdanggroup

PreparedStatement ps = connection.prepare("SOME SQL");
for (Data data : dataList) {
  ps.setInt(1, data.getId());
  ps.setString(2, data.getValue();
  ps.executeUpdate();
}
ps.close();

thinhdanggroup

FROM node:8

# Override the base log level (info).
ENV NPM_CONFIG_LOGLEVEL warn

# Install and configure `serve`.
RUN npm install -g serve
CMD serve -s build
EXPOSE 5000

thinhdanggroup

Fix bug video Firefox

This is how to install Adobe Flash Plugin for Firefox:

1. Go to https://get.adobe.com/flashplayer/ and select the option .tar.gz for other Linux. Download the file.
2. Unpack the tar.gz file. Once unpacked you will see the following: libflashplayer.so /usr

thinhdanggroup

Requirement

1. Download lastest version in homepage

http://nodejs.org

Install

1. Extract file

tar -xvf node-*.tar.xz

thinhdanggroup

GitHub Token: 9887bf3d5c8bbd1c2ce53085976089ad34aef979
GitHub Gist: f054b73a78781e661f46dc62770ed7c0
GitHub Gist Type: Secret

thinhdanggroup

library(ggplot2)
library(utiml)

# Use stdout as per normal...
print("Hello, world!")
fixed_threshold.default <- function(prediction, threshold = 0.5,
                                    probability = FALSE) {
  if (length(threshold) == 1) {
    threshold <- rep(threshold, ncol(prediction))
  }

thinhdanggroup

library(ggplot2)
library(utiml)


print("Hello, world!")

pcut_thresholdk <- function (prediction, ratio, probability = FALSE) {
  UseMethod("pcut_thresholdk")
}

thinhdanggroup

library(ggplot2)
library(utiml)

# Use stdout as per normal...
print("Hello, world!")

mcut_thresholdk <- function (prediction, probability = FALSE) {
  UseMethod("mcut_thresholdk")
}