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import numpy as np
import keras
from keras.models import Sequential, Model
from keras.layers import Dense, Input, LeakyReLU, Dropout
from keras.optimizers import Adam

# 超参数设置
latent_dim = 100
img_shape = (28, 28, 1)

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from tensorflow import keras 
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras import backend as K

# 加载数据集并预处理
(x_train, y_train), (x_test, y_test) = mnist.load_data()

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        try {
                InitializeSdk();
                string   acessKey = "LTAI4FdgRS23ETv1LfqSsyVS";
                string  secret = "LNJGNlhmp9B7oE090cydWPuGGiczMQ";
                string   endpoint = "oss-cn-shanghai.aliyuncs.com";
                string  bucket = "room-20211208";
                FString filePath = FPaths::ProjectContentDir();
                string path(TCHAR_TO_UTF8(*filePath));
                ClientConfiguration conf;

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// WindowsProject3.cpp : 定义应用程序的入口点。
//

#include "framework.h"
#include "WindowsProject3.h"

#define MAX_LOADSTRING 100

// 全局变量:
HINSTANCE hInst;                                // 当前实例

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 Widget _snackDuration() => SnackBar(
        content: Text(
          "You have a message!",
          style: TextStyle(
            color: TEXT_BLACK,
            fontSize: 20,
          ),
          textAlign: TextAlign.center,
        ),
        backgroundColor: BLUE_LIGHT,

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I/flutter ( 4202): I know you are testing the action in the SnackBar!

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final bar = _snackAction();
_key.currentState.showSnackBar(bar);

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  Widget _snackAction() => SnackBar(
        content: Text(
          "Test the action in the SnackBar.",
          style: TextStyle(
            color: TEXT_BLACK,
            fontSize: 20,
          ),
          textAlign: TextAlign.center,
        ),
        action: SnackBarAction(

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SnackBarAction({
    Key key,
    this.textColor,
    this.disabledTextColor,
    @required this.label,
    @required this.onPressed,
  })

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  final SnackBarAction action;