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花间憩 2025-02-20 12:12:40

在Android Studio中转到帮助|编辑自定义属性

粘贴以下行

editor.soft.wrap.force.limit=100000

In Android Studio Go to Help | Edit custom propertie

paste the following line

editor.soft.wrap.force.limit=100000

如何隐藏警告“控制台输出包含很长的行(...)”。在Android Studio中构建APK时

花间憩 2025-02-20 04:37:07

我相信问题是以下代码行:

requestHeaders.put("x-ms-date", "Tue, 05 Jul 2022 11:45:00 GMT");

本质上是在您的请求标题中,您将日期发送为tue,05 Jul 2022 11:45:00 GMT gmt ,但是在您的StringToSign中< /code>您将日期发送为TUE,05 JUL 2022 11:44:56 GMT in X-MS-DATE。这将导致您要发送的StringTosign,并且服务器计算为不匹配,从而导致不同的授权标题值。

要解决此问题,请确保X-MS-DATE标题的值在StringTosign和您的请求标头中都是相同的。我建议将日期对象传递到generateOauthheader方法,并在您的请求标头中使用X-MS-DATE的同一日期对象。

I believe the issue is with the following line of code:

requestHeaders.put("x-ms-date", "Tue, 05 Jul 2022 11:45:00 GMT");

Essentially in your request headers, you are sending the date as Tue, 05 Jul 2022 11:45:00 GMT however in your stringToSign you are sending the date as Tue, 05 Jul 2022 11:44:56 GMT in x-ms-date. This would cause the stringToSign that you are sending and the one computed by the server to mismatch and thus resulting in different authorization header values.

To fix this, please ensure that the value for x-ms-date header is the same in both stringToSign and your request headers. I would recommend passing the date object to generateOauthHeader method and use the same date object in your request headers for x-ms-date.

Azure Blob存储错误显示并确保正确形成了授权标头的值,包括签名。

花间憩 2025-02-19 17:38:00

// a [@class ='active'] [text()='web-search']正在查找/从网页中找到什么,这就是为什么找不到element代码>

但以下示例选择元素:

//a[contains(.,'Web-Search')]

//a[@class='active'][text()='Web-Search'] is finding/selecting nothing from the webpage that's why you are getting element not found

But the following example select element:

//a[contains(.,'Web-Search')]

为什么XPATH方法在这里不起作用?

花间憩 2025-02-19 08:43:33

要在Postman中打电话,您需要在调用端点时通过适当的授权(令牌标头/cookie)。在您当前的情况下,Postman要么向您显示一个登录页面,即您看到的HTML,或者是错误页面,因为未经授权

To make a call in Postman, you need to pass a proper authorization (token header/cookie) when calling an endpoint. In your current case, Postman either shows you a login page which is that HTML you see, or an error page because unauthorized

Springboot在网络上工作,但在邮递员中不起作用吗?

花间憩 2025-02-19 03:42:08

如果您可以在data-testid中添加Input,则可以使您的测试更加稳定。如果不是,则使用输入独特的属性,这实际上取决于您的页面的DOM。

一些可能性。

cy.get('input[placeholder]')
cy.get('input[autocomplete]')
cy.get('input[data-key]')
cy.get('input[value]')
// you can combine the above to make them more unique

It would make your test more stable if you could add a data-testid to your input. If not, you use an attribute unique to the input it would really depend on your pages' DOM.

Some possibilities.

cy.get('input[placeholder]')
cy.get('input[autocomplete]')
cy.get('input[data-key]')
cy.get('input[value]')
// you can combine the above to make them more unique

柏树将文本输入到动态ID搜索框中

花间憩 2025-02-19 02:55:10

我添加了此鳕鱼处理综述:

  private static final int MILLISECOND_EDGE_FOR_ROUND_UP = 500000000;

  private LocalDateTime roundUpSecond(LocalDateTime date) {
    if (date.getNano() > MILLISECOND_EDGE_FOR_ROUND_UP) {
        return date.plusSeconds(1).truncatedTo(ChronoUnit.SECONDS);
    }
    return date.truncatedTo(ChronoUnit.SECONDS);
}

I added this cod for handling round up:

  private static final int MILLISECOND_EDGE_FOR_ROUND_UP = 500000000;

  private LocalDateTime roundUpSecond(LocalDateTime date) {
    if (date.getNano() > MILLISECOND_EDGE_FOR_ROUND_UP) {
        return date.plusSeconds(1).truncatedTo(ChronoUnit.SECONDS);
    }
    return date.truncatedTo(ChronoUnit.SECONDS);
}

在将其从对象中解析出与对象中的相同并忽略比较中的毫秒的对象之后,如何在JSON中进行localdatetime进行比较?

花间憩 2025-02-19 01:09:47

您可以使用Annotate与GEOM RECT :(

SET ymin to -Infymax > to inf保留“ free_y”间隔。)

library(tidyverse)

set.seed(1)

df <- tibble(
  facet_var = c("A", "B", "B", "C", "C", "C"),
  celcius = rnorm(n = 6),
  y = as.factor(c(1, 1, 2, 1, 2, 3)))

df %>%
  ggplot(aes(celcius, y)) +
  geom_point() +
  annotate("rect", xmin = -2.5, xmax = 0.0, ymin = -Inf, ymax = Inf, fill = "blue", alpha = 0.2) +
  annotate("rect", xmin = 0, xmax = 2, ymin = -Inf, ymax = Inf, fill = "red", alpha = 0.2) +
  facet_grid(rows = vars(facet_var), scales = "free_y", space = "free_y")

“

You could use annotate with geom rect:

(Set ymin to -Inf and ymax to Inf to retain the "free_y" spacing.)

library(tidyverse)

set.seed(1)

df <- tibble(
  facet_var = c("A", "B", "B", "C", "C", "C"),
  celcius = rnorm(n = 6),
  y = as.factor(c(1, 1, 2, 1, 2, 3)))

df %>%
  ggplot(aes(celcius, y)) +
  geom_point() +
  annotate("rect", xmin = -2.5, xmax = 0.0, ymin = -Inf, ymax = Inf, fill = "blue", alpha = 0.2) +
  annotate("rect", xmin = 0, xmax = 2, ymin = -Inf, ymax = Inf, fill = "red", alpha = 0.2) +
  facet_grid(rows = vars(facet_var), scales = "free_y", space = "free_y")

Created on 2022-06-30 by the reprex package (v2.0.1)

如何防止ggplot在每个方面重复多次重复某些元素

花间憩 2025-02-18 16:31:16

不,你为什么要关心?

我可能是在用于Windows应用程序的Linux框上编写代码,但是将该代码从我的旧DOS笔记本电脑推向存储库。

No and why would you even care?

I may be writing code on my linux box that is for a Windows application but pushed that code to the repository from my old Dos laptop.

git / github / gitlab可以检测到该提交发送的操作系统吗?

花间憩 2025-02-18 06:48:22

我自己遇到了这个问题。这是解决方案。创建HWDEVICE CTX时,您可以传递char*指定GPU设备。

int gpu_id = 1;
std::string d = std::to_string(gpu_id);
const char * device = d.c_str();
int err = 0;
if ((err = av_hwdevice_ctx_create(&hw_device_ctx, type,
                                      device, NULL, 0)) < 0) {
    return err;
}

Ran into this issue myself. Here is the solution. When you create the hwdevice ctx you can pass in a char* specifying the gpu device.

int gpu_id = 1;
std::string d = std::to_string(gpu_id);
const char * device = d.c_str();
int err = 0;
if ((err = av_hwdevice_ctx_create(&hw_device_ctx, type,
                                      device, NULL, 0)) < 0) {
    return err;
}

ffmpeg c&#x2b;&#x2b;选择GPU

花间憩 2025-02-18 01:05:27

随着标题也被加密,将API键发送在TLS加密会话(HTTPS)内是完全安全的。您在ClearText中唯一可以找到的是服务器的主机名/SNI。

Sending the API key inside a TLS encrypted session (HTTPS) is perfectly safe as the headers are encrypted as well. The only thing that you may find in cleartext is the hostname/SNI of the server.

如何使用网络嗅探工具保护公共REST API免受攻击者的侵害

花间憩 2025-02-17 20:38:35

请勿混淆库存带有模式,您可以用来定位目标主机最终使用以下等级,您可以在其中定义(一种)范围。

以下示例演示了这两个概念。

首先,让我们定义一个库存(示例的伪造),其中我们将在示例中包括一个整个网络,包括您针对的一个网络

all:
  vars:
    ansible_connection: local
  hosts:
    10.134.1[0:1].[1:254]:

,然后在您要达到的范围内仅针对主机。

---
- hosts: ~^10\.134\.10\.[0-9]$, ~^10\.134\.10\.[0-9][0-9]$
  gather_facts: false

  tasks:
    - debug:
        msg: "I'm running on {{ inventory_hostname }}"

Do not confuse ranges to declare different hosts in your inventory with patterns you use to target hosts which can eventually use a regex in which you can define (kind of) a range.

The following example demonstrates both concepts.

First let's define an inventory (fake for the example) in which we will include 2 entire networks including the one you target in your example

all:
  vars:
    ansible_connection: local
  hosts:
    10.134.1[0:1].[1:254]:

Then a playbook in which we will target only the host in the range you want to reach.

---
- hosts: ~^10\.134\.10\.[0-9]$, ~^10\.134\.10\.[0-9][0-9]$
  gather_facts: false

  tasks:
    - debug:
        msg: "I'm running on {{ inventory_hostname }}"

Ansible Playbook:我想在“主机”中使用IP地址范围

花间憩 2025-02-17 17:31:48

您可以在后端使用这些代码

app.use(function(req, res, next) {
  res.header("Access-Control-Allow-Origin", "*");
  res.header("Access-Control-Allow-Headers", "Origin, X-Requested-With, Content-Type, Accept");
  res.header("Access-Control-Allow-Methods", "GET, POST, OPTIONS");
  next();
});

You can use these codes at back-end

app.use(function(req, res, next) {
  res.header("Access-Control-Allow-Origin", "*");
  res.header("Access-Control-Allow-Headers", "Origin, X-Requested-With, Content-Type, Accept");
  res.header("Access-Control-Allow-Methods", "GET, POST, OPTIONS");
  next();
});

存储在React IMG组件中未显示的Express中的图像

花间憩 2025-02-17 00:38:26

如果您的模型是从同一父模型继承的,则应在父型外键中设置唯一的相关信息。例如:

author = models.ForeignKey('accounts.User', related_name='%(app_label)s_%(class)s_related')

在TH中更好地解释了

If your models are inheriting from the same parent model, you should set a unique related_name in the parent's ForeignKey. For example:

author = models.ForeignKey('accounts.User', related_name='%(app_label)s_%(class)s_related')

It's better explained in th

django错误消息“添加一个相关的_name参数”到定义上。

花间憩 2025-02-16 20:01:45

地址具有众所周知的结构。使用语法解析器,应该可以解析它们。
Pyparsing具有扫描功能,可以搜索模式,而无需解析所有文件的其余部分。您可以尝试此功能。我为您提供了一个示例,可以检测示例字符串中的三个地址。

#!/bin/python3

from pyparsing import *

GermanWord = Word("ABCDEFGHIJKLMNOPQRSTUVWXYZÄÖÜ", alphas + "ß")
GermanWordComposition = GermanWord + (ZeroOrMore(Optional(Literal("-")) + GermanWord))
GermanName = GermanWordComposition
GermanStreet = GermanWordComposition
GermanHouseNumber = Word(nums) + Optional(Word(alphas, exact=1) + FollowedBy(White()))
GermanAddressSeparator = Literal(",") | Literal("in") 
GermanPostCode = Word(nums, exact=5)
GermanTown = GermanWordComposition

German_Address = GermanName + GermanAddressSeparator + GermanStreet + GermanHouseNumber \
    + GermanAddressSeparator + GermanPostCode + GermanTown


EnglishWord = Word("ABCDEFGHIJKLMNOPQRSTUVWXYZ", alphanums)
EnglishNumber = Word(nums)
EnglishComposition = OneOrMore(EnglishWord)
EnglishExtension = Word("-/", exact=1) + (EnglishComposition | EnglishNumber)
EnglishAddressSeparator = Literal(",")
EnglishFloor = (Literal("1st") | Literal("2nd") | Literal("3rd") | (Combine(EnglishNumber + Literal("th")))) + Literal("Floor")
EnglishWhere = EnglishComposition
EnglishStreet = EnglishComposition


EnglishAddress = EnglishComposition + Optional(EnglishExtension) \
    + EnglishAddressSeparator + Optional(EnglishFloor)           \
    + Optional(EnglishAddressSeparator + EnglishWhere)           \
    + Optional(EnglishAddressSeparator + EnglishWhere)           \
    + EnglishAddressSeparator + EnglishStreet + EnglishAddressSeparator + EnglishNumber

Address = EnglishAddress | German_Address


test_1 = "I am writing to Peter Meyer, Moritzstraße 22, 54543 Musterdorf a letter. But the letter arrived at \
Hubert Figge, Große Straße 14 in 45434 Berlin. In the letter was written: Hi, Mr. Sam D. Richards lives here \
Shop No / 123, 3rd Floor, ABC Building, Behind CDE Mart, Aloha Road, 12345. If you need any help, call       \
me on 12345678."

for i in Address.scanString(test_1):
  print(i)

Addresses have a well known structure. With a grammar parser it should be possible to parse them.
PyParsing has a feature of scanning that searches for pattern without parsing all the rest of the file. You can try this feature. I have an example for you, that detects three addresses in the example string.

#!/bin/python3

from pyparsing import *

GermanWord = Word("ABCDEFGHIJKLMNOPQRSTUVWXYZÄÖÜ", alphas + "ß")
GermanWordComposition = GermanWord + (ZeroOrMore(Optional(Literal("-")) + GermanWord))
GermanName = GermanWordComposition
GermanStreet = GermanWordComposition
GermanHouseNumber = Word(nums) + Optional(Word(alphas, exact=1) + FollowedBy(White()))
GermanAddressSeparator = Literal(",") | Literal("in") 
GermanPostCode = Word(nums, exact=5)
GermanTown = GermanWordComposition

German_Address = GermanName + GermanAddressSeparator + GermanStreet + GermanHouseNumber \
    + GermanAddressSeparator + GermanPostCode + GermanTown


EnglishWord = Word("ABCDEFGHIJKLMNOPQRSTUVWXYZ", alphanums)
EnglishNumber = Word(nums)
EnglishComposition = OneOrMore(EnglishWord)
EnglishExtension = Word("-/", exact=1) + (EnglishComposition | EnglishNumber)
EnglishAddressSeparator = Literal(",")
EnglishFloor = (Literal("1st") | Literal("2nd") | Literal("3rd") | (Combine(EnglishNumber + Literal("th")))) + Literal("Floor")
EnglishWhere = EnglishComposition
EnglishStreet = EnglishComposition


EnglishAddress = EnglishComposition + Optional(EnglishExtension) \
    + EnglishAddressSeparator + Optional(EnglishFloor)           \
    + Optional(EnglishAddressSeparator + EnglishWhere)           \
    + Optional(EnglishAddressSeparator + EnglishWhere)           \
    + EnglishAddressSeparator + EnglishStreet + EnglishAddressSeparator + EnglishNumber

Address = EnglishAddress | German_Address


test_1 = "I am writing to Peter Meyer, Moritzstraße 22, 54543 Musterdorf a letter. But the letter arrived at \
Hubert Figge, Große Straße 14 in 45434 Berlin. In the letter was written: Hi, Mr. Sam D. Richards lives here \
Shop No / 123, 3rd Floor, ABC Building, Behind CDE Mart, Aloha Road, 12345. If you need any help, call       \
me on 12345678."

for i in Address.scanString(test_1):
  print(i)

Python:如何从句子/段落(非regex方法)中提取地址?

花间憩 2025-02-16 17:53:16

您可以尝试:

d1中的公式:

=QUERY(FLATTEN(SPLIT(TEXTJOIN(",",1,C1:C3),",")),"Select Col1, Count(Col1) Group By Col1 label Count(Col1) ''")

You can try:

enter image description here

Formula in D1:

=QUERY(FLATTEN(SPLIT(TEXTJOIN(",",1,C1:C3),",")),"Select Col1, Count(Col1) Group By Col1 label Count(Col1) ''")

获取在Google表中多选择下拉列表中使用的每个单个项目的计数或总数

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