任何人都可以向我提供有关如何创建自签名证书的示例,该证书将被以下代码接受:
ServiceHost svh = new ServiceHost(typeof(MyClass));
var tcpbinding = new NetTcpBinding(SecurityMode.TransportWithMessageCredential, true);
//security
tcpbinding.Security.Message.ClientCredentialType = MessageCredentialType.UserName;
svh.Credentials.UserNameAuthentication.CustomUserNamePasswordValidator = new BWUserNamePasswordValidator();
svh.Credentials.UserNameAuthentication.UserNamePasswordValidationMode =UserNamePasswordValidationMode.Custom;
svh.Credentials.ServiceCertificate.Certificate = BookmarkWizSettings.TcpBindingCertificate;
....
svh.Open();
我用过
makecert -pe myCertificate
和
makecert -sv SignRoot.pvk -cy authority -r signroot.cer -a sha1 -n "CN=Dev Certification Authority" -ss my -sr localmachine
和
makecert -r -pe -n "CN=Client" -ss MyApp -sky Exchange
我试图用BouncyCastle生成证书,但每次我都得到以下异常:
It is likely that certificate 'CN=Dev Certification Authority' may not have a
private key that is capable of key exchange …我希望能够通过上游代理重定向来自fiddler代码的http请求,我希望能够在运行时指定这些代理.
我查看了FiddlerApplication函数,我没有看到任何可能适合的内容,以及我在文档中找不到任何匹配项(除了您可以指定启动标志以使用系统的代理作为上游代理).
在运行时指定/更改fiddler核心代理的最佳方法是什么？
我正在开发一个javascript广告引擎,我希望它能够尊重Firefox DNT标题.
有什么方法javascript可以检查用户是否在没有得到服务器帮助的情况下在firefox中设置DNT为开启或关闭(或者没有设置首选项)？
我有一个任务,我需要通过几十亿字符串并检查每个是否是唯一的.所有线路本身都不能容纳在PC的RAM存储器中.此外,行数可能大于Integer.MAX_VALUE.
我假设来处理该数据量的最好办法就是把每个字符串的哈希码成某种哈希表的.
所以,这是我的问题:
String.hashCode()？(返回值为int,但我可能需要很长时间)我想在XHTML文档中选择样式表,它不仅包含描述,还包含href.
例如
<link rel="stylesheet" href="123"/>
应该选择,和
<link rel="stylesheet"/>
不应该.
目前,我这样做:
foreach (XmlNode n in xml.SelectNodes(@"//link[@rel='stylesheet']"))
{
if (n.Attributes["href"]==null||n.Attributes[""].Value==null)
{
continue;
}
var l = Web.RelativeUrlToAbsoluteUrl(stuffLocation, n.Attributes["href"].Value);
}
但我怀疑有更好的方法可以做到这一点.在那儿？
我正在尝试将此库集成到我的应用程序中.
起初它崩溃了
Unable to find an entry point named 'TaskDialogIndirect' in DLL 'ComCtl32'.
所以我没有注释
<dependentAssembly>
<assemblyIdentity
type="win32"
name="Microsoft.Windows.Common-Controls"
version="6.0.0.0"
processorArchitecture="*"
publicKeyToken="6595b64144ccf1df"
language="*"
/>
</dependentAssembly>
正如这里推荐的那样.
现在应用程序将无法使用以下消息进行编译:
Could not find file 'Microsoft.Windows.Common-Controls, Version=6.0.0.0, Culture=*,
PublicKeyToken=6595b64144ccf1df, ProcessorArchitecture=*, Type=win32'
删除app.manifest会导致应用崩溃,因为我正在使用Microsoft功能区.
我该如何解决这个错误？
我正在尝试使用ObservableDictionary的以下实现:ObservableDictionary(C#).
当我将字典绑定到DataGrid时使用以下代码:
ObserveableDictionary<string,string> dd=new ObserveableDictionary<string,string>();
....
dd["aa"]="bb";
....
dd["aa"]="cc";
在dd["aa"]="cc";我得到以下异常
Index was out of range. Must be non-negative and less than the size of the
collection. Parameter name: index
CollectionChanged(this, new NotifyCollectionChangedEventArgs(action, newItem, oldItem)在以下方法中引发此异常:
private void OnCollectionChanged(NotifyCollectionChangedAction action, KeyValuePair<TKey, TValue> newItem, KeyValuePair<TKey, TValue> oldItem)
{
OnPropertyChanged();
if (CollectionChanged != null) CollectionChanged(this, new NotifyCollectionChangedEventArgs(action, newItem, oldItem));
}
这个index参数似乎对应于KeyValuePair<TKey, TValue> oldItem.
如何KeyValuePair<TKey, TValue>超出范围,我该怎么做才能使这项工作？
我正在尝试制作一个按钮,当禁用时它会模糊不清.
到目前为止,这就是我所拥有的:
<Style x:Key="BluredButton" TargetType="{x:Type Button}">
<Setter Property="Template">
<Setter.Value>
<ControlTemplate TargetType="{x:Type Button}">
<Border x:Name="Chrome" Background="{TemplateBinding Background}" SnapsToDevicePixels="true" CornerRadius="10" BorderThickness="1">
<Border.Effect>
<BlurEffect Radius="0"/>
</Border.Effect>
<Border.BorderBrush>
<LinearGradientBrush EndPoint="0.5,1" StartPoint="0.5,0">
<GradientStop Color="#FF7D8F93" Offset="0"/>
<GradientStop Color="#FF5797A7" Offset="0.997"/>
</LinearGradientBrush>
</Border.BorderBrush>
<ContentPresenter HorizontalAlignment="{TemplateBinding HorizontalContentAlignment}" Margin="{TemplateBinding Padding}" RecognizesAccessKey="True" SnapsToDevicePixels="{TemplateBinding SnapsToDevicePixels}" VerticalAlignment="{TemplateBinding VerticalContentAlignment}"/>
</Border>
<ControlTemplate.Triggers>
<EventTrigger RoutedEvent="FrameworkElement.Loaded"/>
<Trigger Property="IsEnabled" Value="false">
<Setter Property="Foreground" Value="#ADADAD"/>
<!--How do I set BlurEffect.Radius here?-->
</Trigger>
</ControlTemplate.Triggers>
</ControlTemplate>
</Setter.Value>
</Setter>
</Style>
按钮被禁用后,我想将模糊半径设置为3.
我怎么做？
我正在尝试使用FiddlerCore实现系统内SSL服务器:
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace fiddlerCoreTest
{
using System.IO;
using System.Threading;
using Fiddler;
class Program
{
static Proxy oSecureEndpoint;
static string sSecureEndpointHostname = "localhost";
static int iSecureEndpointPort = 7777;
static void Main(string[] args)
{
//var tt = Fiddler.CertMaker.GetRootCertificate().GetRawCertData();
//File.WriteAllBytes("root.crt",tt);
Fiddler.FiddlerApplication.BeforeRequest += delegate(Fiddler.Session oS)
{
oS.bBufferResponse = false;
if ((oS.hostname == sSecureEndpointHostname)&&oS.port==7777)
{
oS.utilCreateResponseAndBypassServer();
oS.oResponse.headers.HTTPResponseStatus = "200 Ok";
oS.oResponse["Content-Type"] = "text/html; charset=UTF-8";
oS.oResponse["Cache-Control"] = "private, max-age=0";
oS.utilSetResponseBody("<html><body>Request for httpS://" + sSecureEndpointHostname + ":" + …我正在尝试根据从 DataFrame 获取的数据训练 LSTM 网络。
这是代码：
x_lstm=x.to_numpy().reshape(1,x.shape[0],x.shape[1])
model = keras.models.Sequential([
keras.layers.LSTM(x.shape[1], return_sequences=True, input_shape=(x_lstm.shape[1],x_lstm.shape[2])),
keras.layers.LSTM(NORMAL_LAYER_SIZE, return_sequences=True),
keras.layers.LSTM(NORMAL_LAYER_SIZE),
keras.layers.Dense(y.shape[1])
])
optimizer=keras.optimizers.Adadelta()
model.compile(loss="mse", optimizer=optimizer)
for i in range(150):
history = model.fit(x_lstm, y)
save_model(model,'tmp.rnn')
这失败了
ValueError: Data cardinality is ambiguous:
x sizes: 1
y sizes: 99
Please provide data which shares the same first dimension.
当我将模型更改为
model = keras.models.Sequential([
keras.layers.LSTM(x.shape[1], return_sequences=True, input_shape=x_lstm.shape),
keras.layers.LSTM(NORMAL_LAYER_SIZE, return_sequences=True),
keras.layers.LSTM(NORMAL_LAYER_SIZE),
keras.layers.Dense(y.shape[1])
])
它失败并出现以下错误：
Input 0 of layer lstm_9 is incompatible with the layer: expected ndim=3, found ndim=4. Full shape …