尤怨

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尤怨 2025-02-20 19:56:29
  • 在启动命令中,尝试使用 npx服务-s构建/
  • 在您的应用程序服务设置下,请检查所有一般设置。
  • 确保您的web.config与您的应用程序一起发布。
  • In startup command try using npx serve -s build/
  • Also, under your app service Settings blade check all the general settings.
  • Make sure that your web.config was published along with your app.

NPX在Azure App服务部署上失败

尤怨 2025-02-20 18:30:16

您可以通过在终端上使用此命令添加到DevDepentencies来解决该问题。

yarn add --dev @types/react-helmet

You can solve that problem by adding to devDependencies using this command on terminal.

yarn add --dev @types/react-helmet

React头盔不能用作JSX组件

尤怨 2025-02-20 17:03:50

如果它不是核心React库,则需要将其移植到 React-Native

If it's not a core React library, then it would need to be ported to react-native.

有什么方法可以在React-Native中使用React库?

尤怨 2025-02-20 17:02:07

没关系,我从错误的页面下载了Java的“最新”版本。我正在运行Java 8。

Nevermind, I was downloading the "latest" version of java from the wrong page. I'm running Java 8.

JNI错误,即使Java是最新版本

尤怨 2025-02-20 07:07:26

问题是您的版本选择。

import "https://github.com/OpenZeppelin/openzeppelin-contracts/blob/solc-0.6/contracts/utils/SafeCast.sol";

这是您当前正在使用的版本0.6.0。

但是您正在使用的

https://github.com/OpenZeppelin/openzeppelin-contracts/blob/master/contracts/utils/math/SafeMath.sol

是固体性> = 0.8.0

The problem is your version selection.

import "https://github.com/OpenZeppelin/openzeppelin-contracts/blob/solc-0.6/contracts/utils/SafeCast.sol";

This one is for solidity 0.6.0 the version you are currently using.

but you are using

https://github.com/OpenZeppelin/openzeppelin-contracts/blob/master/contracts/utils/math/SafeMath.sol

which is for solidity >= 0.8.0

为什么开放的齐柏林飞艇安全数学合同不进口?

尤怨 2025-02-20 02:08:48

将代码放入try -catch中,因此在例外,您可以找到模型无效的位置

put your code in try -catch ,so in the exception you can find where your model is not valid

ModelState Binding问题ASP.NET 6

尤怨 2025-02-20 00:59:09

对于基本R解决方案,汇总函数确实可以做到这一点。

aggregate(Purchased~Date, data=df1, FUN=sum)

要将其集成到现有表中,您必须添加项目列和 rbind ,并选择按日期订购。

df1 <- rbind(df1, data.frame(Item="Overall", aggregate(Purchased~Date, data=df1, FUN=sum)))

For a base R solution, the aggregate function does exactly this.

aggregate(Purchased~Date, data=df1, FUN=sum)

To integrate it into your existing table, you'll have to add the Item column and rbind, and optionally order by Date.

df1 <- rbind(df1, data.frame(Item="Overall", aggregate(Purchased~Date, data=df1, FUN=sum)))

创建当天汇总数据的行

尤怨 2025-02-19 23:35:57

没有回答浏览器兼容性,而是要提及新的网格和不那么新的Flexbox功能。

Grid

From:

浏览器支持: noreflow noreferrer“> grid browser support

CSS:

.wrapper {
  display: grid;
  grid-template-columns: repeat(4, 1fr);
  grid-gap: 10px;
  grid-auto-rows: 200px;
  grid-template-areas: 
    ". a a ."
    ". a a .";
}
.item1 {
  grid-area: a;
  align-self: center;
  justify-self: center;
}

html:

<div class="wrapper">
 <div class="item1">Item 1</div>
</div>

flexbox

浏览器支持: flexbox浏览器支持

CSS:

display: -webkit-box;
display: -moz-box;
display: -ms-flexbox;
display: -webkit-flex;
display: flex;
align-items: center;
justify-content: center;

Not answering for browser compatibility but to also mention the new Grid and the not so new Flexbox feature.

Grid

From: Mozilla - Grid Documentation - Align Div Vertically

Browser Support: Grid Browser Support

CSS:

.wrapper {
  display: grid;
  grid-template-columns: repeat(4, 1fr);
  grid-gap: 10px;
  grid-auto-rows: 200px;
  grid-template-areas: 
    ". a a ."
    ". a a .";
}
.item1 {
  grid-area: a;
  align-self: center;
  justify-self: center;
}

HTML:

<div class="wrapper">
 <div class="item1">Item 1</div>
</div>

Flexbox

Browser Support: Flexbox Browser Support

CSS:

display: -webkit-box;
display: -moz-box;
display: -ms-flexbox;
display: -webkit-flex;
display: flex;
align-items: center;
justify-content: center;

如何使用CSS垂直将DIV元素集成为DIV元素?

尤怨 2025-02-19 19:11:55

哦,我终于尝试了一件事:

class MyList(list):
    def append_(self, element):
        new_list = list(self)
        new_list.append(element)
        self.__init__(new_list)
        return self

终于可以根据需要起作用。我不确定我是否明白为什么,所以如果有人想在此工作解决方案上详细说明,我会很高兴

Oh, I finally tried one more thing:

class MyList(list):
    def append_(self, element):
        new_list = list(self)
        new_list.append(element)
        self.__init__(new_list)
        return self

that finally works as desired. I'm not sure I understand why, though, so I'd be glad if someone wants to elaborate more on this working solution :-)

在python中列出列表的同时,就地附加

尤怨 2025-02-19 14:41:20

不要随机选择任何数字。
您会发现多种概念或公式。
请尝试和错误。不要坚持一个概念或一个数字。您一定会得到所需的东西。
请参阅附有的快照,以获取第一和第二个隐藏层选择。
我希望它会有所帮助。

下图中提到的第一层和第二层中足够数量的隐藏节点:

”在此处输入图像描述”

其中m =输出神经元和n-隐藏节点的数量

Don't select any number randomly.
There are multiple concept or formula you will find.
Please implement those with try and error. don't stick with the one concept or one number. You will definitely get what you are looking for.
Please refer attached snapshot for first and second hidden layers selection.
I hope it will help.

The sufficient number of hidden nodes in the first layer and second layer mentioned in below:

enter image description here

where m = output neuron, and N- number of hidden nodes

如何在ANN模型中计算隐藏层

尤怨 2025-02-19 03:26:42

目前,VSCODE可以调整命令。 VSCODE的唯一官方支持是使用“启动”。在调试期间设置命令。

当然,如果您想在运行时得到支持,可以尝试使用

它具有自定义命令的功能:

{
"code-runner.customCommand": "echo Hello"

}

At present, vscode can adjust the command. The only official support of vscode is to use "launch.json" to set the command during debugging.

Of course, if you want to be supported at runtime, you can try using code-runner.

It has the function of customizing commands:

{
"code-runner.customCommand": "echo Hello"

}

VS代码,运行后交互式检查代码(-i标志)

尤怨 2025-02-18 22:00:06

barplot 在您的情况下应工作:

ordered_recurrent_df = pd.DataFrame(
    {'Month':['January','February','March', 'April', 'May', 'June'], 
     'Card':[4, 7, 11, 32, 96, 704]
    }
).set_index('Month')

sns.barplot(x='Month', y='Card', data=ordered_recurrent_df.reset_index())

nb我确实设置了索引,因为在您的 countplot 示例中,您还使用了 index。

countplot 当您的数据看起来像:

ordered_recurrent_df = pd.DataFrame(
    {'Month':['January','February','March', 'April', 'May', 'June'], 
     'Card':[range(4), range(7), range(11), range(32), range(96), range(704)]
    }
).set_index('Month').explode('Card')

sns.countplot(data = ordered_recurrent_df, x = ordered_recurrent_df.index)

barplot should work in your case:

ordered_recurrent_df = pd.DataFrame(
    {'Month':['January','February','March', 'April', 'May', 'June'], 
     'Card':[4, 7, 11, 32, 96, 704]
    }
).set_index('Month')

sns.barplot(x='Month', y='Card', data=ordered_recurrent_df.reset_index())

N.B. I did set an index because in your countplot example you also used the month index.

enter image description here

countplot can be used when your data looks like:

ordered_recurrent_df = pd.DataFrame(
    {'Month':['January','February','March', 'April', 'May', 'June'], 
     'Card':[range(4), range(7), range(11), range(32), range(96), range(704)]
    }
).set_index('Month').explode('Card')

sns.countplot(data = ordered_recurrent_df, x = ordered_recurrent_df.index)

Seaborn的问题,未显示CountPlot中Y轴的值

尤怨 2025-02-18 19:06:08

以下是本机JavaScript中我从我这里奏效的内容:

const getAdditionalData = async () => {
  try {
    const response = await fetch(`http://localhost:5500/data.json`);
    const myData = await response.json();
    let newObj = [];
    myData.myInfo.map((data, i) => {
      newObj = [...newObj, { ...data, val: [...valObj[i]] }];
    });
    console.dir(newObj);
  } catch (err) {
    console.error(err.message);
  }
};

const valObj = [
  [
    { id: 1, name: "AA" },
    { id: 2, name: "BB" },
  ],
  [
    { id: 3, name: "CC" },
    { id: 4, name: "DD" },
    { id: 5, name: "EE" },
  ],
];

getAdditionalData();


//data.json

{
  "myInfo": [
    {
      "myId": 0,
      "myName": "Name A",
      "defaultVal": 2
    },
    {
      "myId": 1,
      "myName": "Name B",
      "defaultVal": 4
    }
  ]
}

请注意,您需要同步 myInfo valobj 的索引。

Here's what worked from me in native javascript:

const getAdditionalData = async () => {
  try {
    const response = await fetch(`http://localhost:5500/data.json`);
    const myData = await response.json();
    let newObj = [];
    myData.myInfo.map((data, i) => {
      newObj = [...newObj, { ...data, val: [...valObj[i]] }];
    });
    console.dir(newObj);
  } catch (err) {
    console.error(err.message);
  }
};

const valObj = [
  [
    { id: 1, name: "AA" },
    { id: 2, name: "BB" },
  ],
  [
    { id: 3, name: "CC" },
    { id: 4, name: "DD" },
    { id: 5, name: "EE" },
  ],
];

getAdditionalData();


//data.json

{
  "myInfo": [
    {
      "myId": 0,
      "myName": "Name A",
      "defaultVal": 2
    },
    {
      "myId": 1,
      "myName": "Name B",
      "defaultVal": 4
    }
  ]
}

Note that you would need to sync the indices of myInfo and valObj.

将新属性添加到现有的对象数组中

尤怨 2025-02-18 16:30:12

以下代码有效。尽管我不知道为什么以及有多精确。欢迎其他更优雅的答案,改进和建议,可以进一步解释魔术的起作用。

经过多次试验,我发现第一个数字代表差距大小,第二个数字表示 background-size中的点宽度:3px 1px;

hr{
    border: none;
    background-image: radial-gradient(circle closest-side, Black 100%, Transparent 100%);
    background-position: 0 50%;
    background-repeat: repeat-x;
    background-size: 3px 1px; // GAP width and DOT width
    height: 1px;
    }

html{ margin: 4em; background: #EEE}
article { background: lightblue; height: 100px; padding: 2em}

hr{
    border: none;
    background-image: radial-gradient(circle closest-side, Black 100%, Transparent 100%);
    background-position: 0 50%;
    background-repeat: repeat-x;
    background-size: 3px 1px;  /* First Nr is the GAP width, second Nr is the DOT width */
    height: 1px;
}
<article>
<p>Text</p>
<hr>
<p>Text</p>
</article>

The following code works. Although I have no idea why and how precisely. Other more elegant answers, improvements and suggestions are welcome that can further explain the workings of the magic here.

After many trials I have figured out that the first number represents the gap size and the second number represents the dot width in background-size: 3px 1px;

hr{
    border: none;
    background-image: radial-gradient(circle closest-side, Black 100%, Transparent 100%);
    background-position: 0 50%;
    background-repeat: repeat-x;
    background-size: 3px 1px; // GAP width and DOT width
    height: 1px;
    }

html{ margin: 4em; background: #EEE}
article { background: lightblue; height: 100px; padding: 2em}

hr{
    border: none;
    background-image: radial-gradient(circle closest-side, Black 100%, Transparent 100%);
    background-position: 0 50%;
    background-repeat: repeat-x;
    background-size: 3px 1px;  /* First Nr is the GAP width, second Nr is the DOT width */
    height: 1px;
}
<article>
<p>Text</p>
<hr>
<p>Text</p>
</article>

纯CSS解决方案,用于使用CSS背景径向梯度的非夹具,无故障,完美修复的虚线

尤怨 2025-02-18 03:41:09

查看此小提琴: https://jsfiddle.net/m82ycfxw/m82ycfxw/

我制作了一个普通的JS代码,将所需的文本转换为上情况。

这可能是暂时的事情,但我希望这对您有用。

let str = `
$data= [
        'user_name' => 's',
        'user_place' => 'a',
        'address_list_code' => 's',
        'block_number' => 3,
]
`;

var regex = /'[a-z_]+' =>/g;
str = str.replace(regex, foundText => {
  return foundText.toUpperCase();
});
console.log(str);

只需更改 str 变量即可。将所有完整的数据对象放入Backticks(````)中,然后运行代码。

Check out this fiddle : https://jsfiddle.net/m82ycfxw/
I made a normal JS code to convert the desired text to upper case.

This might be a temporary thing but I hope this will work for you.

let str = `
$data= [
        'user_name' => 's',
        'user_place' => 'a',
        'address_list_code' => 's',
        'block_number' => 3,
]
`;

var regex = /'[a-z_]+' =>/g;
str = str.replace(regex, foundText => {
  return foundText.toUpperCase();
});
console.log(str);

Just change the str variable. Put all your complete data object inside backticks (` `)and run the code.

VS代码选择引号之间的文本

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