hyoban

//https://blog.csdn.net/qq_26914291/article/details/78341772

import android.app.Activity;
import android.graphics.Bitmap;
import android.net.http.SslError;
import android.os.Build;
import android.support.annotation.RequiresApi;
import android.view.ViewGroup;
import android.webkit.CookieManager;
import android.webkit.CookieSyncManager;

hyoban

//显示toast
fun String.showToast(duration: Int = Toast.LENGTH_SHORT) {
    Toast.makeText(MyApplication.context, this, duration).show()
}

fun Int.showToast(duration: Int = Toast.LENGTH_SHORT) {
    Toast.makeText(MyApplication.context, this, duration).show()
}

// 加载过程的布局变换

hyoban

customSelectionActionModeCallback = object : ActionMode.Callback2() {
                override fun onCreateActionMode(actionMode: ActionMode, menu: Menu): Boolean {
                    val menuInflater = actionMode.menuInflater
                    menuInflater.inflate(R.menu.text_select_menu, menu)
                    return true //返回false则不会显示弹窗
                }

                override fun onPrepareActionMode(actionMode: ActionMode, menu: Menu): Boolean {
                    return false
                }

hyoban

plugins {
    id "com.diffplug.spotless" version "5.14.3"
}

subprojects {
    apply plugin: "com.diffplug.spotless"
    spotless {
        kotlin {
            target "**/*.kt"
            targetExclude("$buildDir/**/*.kt")

hyoban

from typing import List

import pandas as pd

student_number_conversion = {}


def change_number(pre: str) -> str:
    if pre in student_number_conversion.keys():
        return student_number_conversion[pre]

hyoban

package main

import (
	"context"
	"database/sql"
	"flag"
	"log"
	"os"
	"os/exec"
	"strconv"

hyoban

import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
from sklearn.datasets import load_boston
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import mean_squared_error, mean_absolute_error
from sklearn.model_selection import train_test_split, learning_curve, ShuffleSplit

hyoban

/**
 * 处理统一返回结果和异常
 */
@RestControllerAdvice
class ResponseAdvisor : ResponseBodyAdvice<Any> {

    data class Result<T>(
        val status: Int = HttpStatus.OK.value(),
        val message: String = "成功",
        val data: T? = null,

hyoban

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "学生成绩分类",
      "provenance": [],
      "toc_visible": true,
      "authorship_tag": "ABX9TyNDT9c9JZD+l0wV/bhTLPUK",
      "include_colab_link": true

hyoban

alias ll='ls -al'
# fix pip command in zsh
alias pip='noglob pip'

# set proxy
export https_proxy=http://127.0.0.1:7890 http_proxy=http://127.0.0.1:7890 all_proxy=socks5://127.0.0.1:7890

# nvm
export NVM_DIR="$HOME/.nvm"
  [ -s "/usr/local/opt/nvm/nvm.sh" ] && . "/usr/local/opt/nvm/nvm.sh"  # This loads nvm