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奢欲 2025-02-20 19:54:05

删除用于.grid-Center和.grid-item的最低点:

.grid-item {
  background-color: #000000;
  font-size: 5px;
  text-align: left;
  color: #f1f1f1;
  margin-top: 0%;
}
.grid-center {
  background-color: #252525;
  color: blue;
  font-size: 30vh;
  text-align: left;
  margin-top: 0%;
}

Remove the min-height for .grid-center and .grid-item:

.grid-item {
  background-color: #000000;
  font-size: 5px;
  text-align: left;
  color: #f1f1f1;
  margin-top: 0%;
}
.grid-center {
  background-color: #252525;
  color: blue;
  font-size: 30vh;
  text-align: left;
  margin-top: 0%;
}

我的CSS网格在内容高度方面不正确地尺度

奢欲 2025-02-20 19:39:14

要点是,截至2018年12月,它是脚本,而不是bin

更新Windows的Git Bash中的$ PATH

使用其中之一:
导出路径= $ userProfile/appdata/local/continuum/anaconda2/scripts/:$ path
导出路径= $ userProfile/appData/local/continuum/anaconda3/scripts/:$ path

更新Windows默认命令行中的$ PATH

使用其中之一:
设置路径=%userProfile%\ appdata \ local \ continuum \ anaconda2 \ scripts \;%路径%
设置路径=%userProfile%\ appdata \ local \ continuum \ anaconda3 \ scripts \;%路径%

更新linux canse /app中的$ path to to to intastion

到您的安装位置。如果您将Anaconda更改miniconda anaconda。另外,检查 script vs. bin

export path =“/app/miniconda/bin:$ path:$ path”

您可能需要运行<代码> set -a 在设置路径之前,我认为如果您在脚本中设置路径很重要。例如,如果您的导出命令在名为set_my_path.sh的文件中,则i think 您需要做set -a;源(“ set_my_path.sh”)

set -a将使您的会话的路径持续存在,但它们仍然不是永久的。

对于更永久的解决方案,将命令添加到〜/.bashrc。安装程序可能会提供将类似的内容添加到您的〜/.bashrc文件中,但是您也可以执行此操作(或将其评论以撤销它)。

一般观察:

背景:我最近在我的遵循2018年12月推荐的安装步骤的机器。

  • 添加Conda还启用 ipython ,在本机Windows命令行中效果
  • 更好>安装不会将conda或ipython添加到路径
  • Anaconda 3似乎没有安装命令提示符,但是Anaconda 2确实具有命令提示符应用程序
  • /bin文件夹似乎已被脚本
  • scriptss 文件夹中戳戳很有趣,也许是anaconda命令提示应用程序中某处。

The main point is that, as of December 2018, it's Scripts, not bin.

Updating $PATH in Git Bash for Windows

Use one of these:
export PATH=$USERPROFILE/AppData/Local/Continuum/anaconda2/Scripts/:$PATH
export PATH=$USERPROFILE/AppData/Local/Continuum/anaconda3/Scripts/:$PATH

Updating $PATH in the Windows default command line

Use one of these:
SET PATH=%USERPROFILE%\AppData\Local\Continuum\anaconda2\Scripts\;%PATH%
SET PATH=%USERPROFILE%\AppData\Local\Continuum\anaconda3\Scripts\;%PATH%

Updating $PATH in Linux

Change /app to your installation location. If you installed Anaconda change Miniconda to Anaconda. Also, check for Script vs. bin,

export PATH="/app/Miniconda/bin:$PATH"

You may need to run set -a before setting the path, I think this is important if you're setting the path in a script. For example if you have your export command in a file called set_my_path.sh, I think you'd need to do set -a; source("set_my_path.sh").

The set -a will make your changes to the path persist for your session, but they are still not permanent.

For a more permanent solution add the command to ~/.bashrc. The installers may offer to add something like this to your ~/.bashrc file, but you can do it too (or comment it out to undo it).

General Observations:

Background: I installed the 64-bit versions of Anaconda 2 and 3 recently on my Windows 10 machine following the recommended installation steps in December of 2018.

  • Adding Conda also enables IPython, which works much better in the native Windows command line
  • Following the strongly recommended installation does not add Conda or IPython to the path
  • Anaconda 3 doesn't seem to install a command prompt application, but Anaconda 2 did have a command prompt application
  • The /bin folder seems to have been replaced with Scripts
  • Poking around in the Scripts folder is interesting, maybe the Anaconda command prompt application is in there somewhere.

我该如何运行康达?

奢欲 2025-02-20 19:33:33

tldr; ax = b具有无限的解决方案。


这更多是一个线性代数问题,而不是编码问题。由于等级(A)和等级(A | B)(A | B是附加为A列向量的增强矩阵)相等且小于A的列数/行数(即A不完全排名),,存在无限的解决方案。

We can check in R

qr(A)$rank
#[1] 8
qr(cbind(A, b))$rank
#[1] 8
ncol(A)
#[1] 18

See eg


为了验证我们可以使用这两个解决方案(x1 from Matlab,X2)来计算AX。

all(round(A %*% x1, 3) == round(b, 3))
#[1] TRUE
all(round(A %*% x2, 3) == round(b, 3))
#[1] TRUE

样本数据

x1 <- c(-15, -15, -15, -15, -15, -15, 75.5708, 95.1859, 135.899, -66.8754, 
        -85.3158, -2.5355, -23.0411, 25.1833, -61.6936, 40.9536, -56.1559, 
        32.8247)
x2 <- c(-15, -15, -15, -15, -15, -15, 22.749715, 93.524478, 132.015938, 
        -74.17392, -128.108988, 105.734883, 82.000007, 26.968011, -112.856319, 
        5.686058, -23.565352, -19.974511)
A <- structure(
    c(0.4585, 0.9135, 1.1685, 1.4235, 1.6785, 1.9335, 2.1885, 
      2.4435, 2.6985, 2.9535, 3.2085, 3.4635, 3.7185, 3.9735, 4.2285, 
      4.4835, 4.7385, 4.9935, 0.9135, 1.0685, 1.6235, 1.9785, 2.3335, 
      2.6885, 3.0435, 3.3985, 3.7535, 4.1085, 4.4635, 4.8185, 5.1735, 
      5.5285, 5.8835, 6.2385, 6.5935, 6.9485, 1.1685, 1.6235, 1.8785, 
      2.5335, 2.9885, 3.4435, 3.8985, 4.3535, 4.8085, 5.2635, 5.7185, 
      6.1735, 6.6285, 7.0835, 7.5385, 7.9935, 8.4485, 8.9035, 1.4235, 
      1.9785, 2.5335, 2.8885, 3.6435, 4.1985, 4.7535, 5.3085, 5.8635, 
      6.4185, 6.9735, 7.5285, 8.0835, 8.6385, 9.1935, 9.7485, 10.3035, 
      10.8585, 1.6785, 2.3335, 2.9885, 3.6435, 4.0985, 4.9535, 5.6085, 
      6.2635, 6.9185, 7.5735, 8.2285, 8.8835, 9.5385, 10.1935, 10.8485, 
      11.5035, 12.1585, 12.8135, 1.9335, 2.6885, 3.4435, 4.1985, 4.9535, 
      5.5085, 6.4635, 7.2185, 7.9735, 8.7285, 9.4835, 10.2385, 10.9935, 
      11.7485, 12.5035, 13.2585, 14.0135, 14.7685, 2.1885, 3.0435, 
      3.8985, 4.7535, 5.6085, 6.4635, 7.3185, 8.1735, 9.0285, 9.8835, 
      10.7385, 11.5935, 12.4485, 13.3035, 14.1585, 15.0135, 15.8685, 
      16.7235, 2.4435, 3.3985, 4.3535, 5.3085, 6.2635, 7.2185, 8.1735, 
      9.1285, 10.0835, 11.0385, 11.9935, 12.9485, 13.9035, 14.8585, 
      15.8135, 16.7685, 17.7235, 18.6785, 2.6985, 3.7535, 4.8085, 5.8635, 
      6.9185, 7.9735, 9.0285, 10.0835, 11.1385, 12.1935, 13.2485, 14.3035, 
      15.3585, 16.4135, 17.4685, 18.5235, 19.5785, 20.6335, 2.9535, 
      4.1085, 5.2635, 6.4185, 7.5735, 8.7285, 9.8835, 11.0385, 12.1935, 
      13.3485, 14.5035, 15.6585, 16.8135, 17.9685, 19.1235, 20.2785, 
      21.4335, 22.5885, 3.2085, 4.4635, 5.7185, 6.9735, 8.2285, 9.4835, 
      10.7385, 11.9935, 13.2485, 14.5035, 15.7585, 17.0135, 18.2685, 
      19.5235, 20.7785, 22.0335, 23.2885, 24.5435, 3.4635, 4.8185, 
      6.1735, 7.5285, 8.8835, 10.2385, 11.5935, 12.9485, 14.3035, 15.6585, 
      17.0135, 18.3685, 19.7235, 21.0785, 22.4335, 23.7885, 25.1435, 
      26.4985, 3.7185, 5.1735, 6.6285, 8.0835, 9.5385, 10.9935, 12.4485, 
      13.9035, 15.3585, 16.8135, 18.2685, 19.7235, 21.1785, 22.6335, 
      24.0885, 25.5435, 26.9985, 28.4535, 3.9735, 5.5285, 7.0835, 8.6385, 
      10.1935, 11.7485, 13.3035, 14.8585, 16.4135, 17.9685, 19.5235, 
      21.0785, 22.6335, 24.1885, 25.7435, 27.2985, 28.8535, 30.4085, 
      4.2285, 5.8835, 7.5385, 9.1935, 10.8485, 12.5035, 14.1585, 15.8135, 
      17.4685, 19.1235, 20.7785, 22.4335, 24.0885, 25.7435, 27.3985, 
      29.0535, 30.7085, 32.3635, 4.4835, 6.2385, 7.9935, 9.7485, 11.5035, 
      13.2585, 15.0135, 16.7685, 18.5235, 20.2785, 22.0335, 23.7885, 
      25.5435, 27.2985, 29.0535, 30.8085, 32.5635, 34.3185, 4.7385, 
      6.5935, 8.4485, 10.3035, 12.1585, 14.0135, 15.8685, 17.7235, 
      19.5785, 21.4335, 23.2885, 25.1435, 26.9985, 28.8535, 30.7085, 
      32.5635, 34.4185, 36.2735, 4.9935, 6.9485, 8.9035, 10.8585, 12.8135, 
      14.7685, 16.7235, 18.6785, 20.6335, 22.5885, 24.5435, 26.4985, 
      28.4535, 30.4085, 32.3635, 34.3185, 36.2735, 38.2285), 
    .Dim = c(18L, 18L), .Dimnames = list(NULL, NULL))
b <- c(5.97, 7.07, 8.17, 9.27, 10.37, 11.47, 9.57, 10.67, 11.77, 12.87, 
       13.97, 15.07, 16.17, 17.27, 18.37, 19.47, 20.57, 21.67)

tldr; Ax = b has infinitely many solutions.


This is more of a linear algebra question than a coding question. Since rank(A) and rank(A|b) (A|b being the augmented matrix with b appended as a column vector) are equal and less than the number of columns/rows of A (i.e. A is not full rank), there exist infinitely many solutions.

We can check in R

qr(A)$rank
#[1] 8
qr(cbind(A, b))$rank
#[1] 8
ncol(A)
#[1] 18

See e.g. here, here on the Mathematics Stack Exchange.


To verify we can calculate Ax using both solutions (x1 from Matlab, and x2 from R).

all(round(A %*% x1, 3) == round(b, 3))
#[1] TRUE
all(round(A %*% x2, 3) == round(b, 3))
#[1] TRUE

Sample data

x1 <- c(-15, -15, -15, -15, -15, -15, 75.5708, 95.1859, 135.899, -66.8754, 
        -85.3158, -2.5355, -23.0411, 25.1833, -61.6936, 40.9536, -56.1559, 
        32.8247)
x2 <- c(-15, -15, -15, -15, -15, -15, 22.749715, 93.524478, 132.015938, 
        -74.17392, -128.108988, 105.734883, 82.000007, 26.968011, -112.856319, 
        5.686058, -23.565352, -19.974511)
A <- structure(
    c(0.4585, 0.9135, 1.1685, 1.4235, 1.6785, 1.9335, 2.1885, 
      2.4435, 2.6985, 2.9535, 3.2085, 3.4635, 3.7185, 3.9735, 4.2285, 
      4.4835, 4.7385, 4.9935, 0.9135, 1.0685, 1.6235, 1.9785, 2.3335, 
      2.6885, 3.0435, 3.3985, 3.7535, 4.1085, 4.4635, 4.8185, 5.1735, 
      5.5285, 5.8835, 6.2385, 6.5935, 6.9485, 1.1685, 1.6235, 1.8785, 
      2.5335, 2.9885, 3.4435, 3.8985, 4.3535, 4.8085, 5.2635, 5.7185, 
      6.1735, 6.6285, 7.0835, 7.5385, 7.9935, 8.4485, 8.9035, 1.4235, 
      1.9785, 2.5335, 2.8885, 3.6435, 4.1985, 4.7535, 5.3085, 5.8635, 
      6.4185, 6.9735, 7.5285, 8.0835, 8.6385, 9.1935, 9.7485, 10.3035, 
      10.8585, 1.6785, 2.3335, 2.9885, 3.6435, 4.0985, 4.9535, 5.6085, 
      6.2635, 6.9185, 7.5735, 8.2285, 8.8835, 9.5385, 10.1935, 10.8485, 
      11.5035, 12.1585, 12.8135, 1.9335, 2.6885, 3.4435, 4.1985, 4.9535, 
      5.5085, 6.4635, 7.2185, 7.9735, 8.7285, 9.4835, 10.2385, 10.9935, 
      11.7485, 12.5035, 13.2585, 14.0135, 14.7685, 2.1885, 3.0435, 
      3.8985, 4.7535, 5.6085, 6.4635, 7.3185, 8.1735, 9.0285, 9.8835, 
      10.7385, 11.5935, 12.4485, 13.3035, 14.1585, 15.0135, 15.8685, 
      16.7235, 2.4435, 3.3985, 4.3535, 5.3085, 6.2635, 7.2185, 8.1735, 
      9.1285, 10.0835, 11.0385, 11.9935, 12.9485, 13.9035, 14.8585, 
      15.8135, 16.7685, 17.7235, 18.6785, 2.6985, 3.7535, 4.8085, 5.8635, 
      6.9185, 7.9735, 9.0285, 10.0835, 11.1385, 12.1935, 13.2485, 14.3035, 
      15.3585, 16.4135, 17.4685, 18.5235, 19.5785, 20.6335, 2.9535, 
      4.1085, 5.2635, 6.4185, 7.5735, 8.7285, 9.8835, 11.0385, 12.1935, 
      13.3485, 14.5035, 15.6585, 16.8135, 17.9685, 19.1235, 20.2785, 
      21.4335, 22.5885, 3.2085, 4.4635, 5.7185, 6.9735, 8.2285, 9.4835, 
      10.7385, 11.9935, 13.2485, 14.5035, 15.7585, 17.0135, 18.2685, 
      19.5235, 20.7785, 22.0335, 23.2885, 24.5435, 3.4635, 4.8185, 
      6.1735, 7.5285, 8.8835, 10.2385, 11.5935, 12.9485, 14.3035, 15.6585, 
      17.0135, 18.3685, 19.7235, 21.0785, 22.4335, 23.7885, 25.1435, 
      26.4985, 3.7185, 5.1735, 6.6285, 8.0835, 9.5385, 10.9935, 12.4485, 
      13.9035, 15.3585, 16.8135, 18.2685, 19.7235, 21.1785, 22.6335, 
      24.0885, 25.5435, 26.9985, 28.4535, 3.9735, 5.5285, 7.0835, 8.6385, 
      10.1935, 11.7485, 13.3035, 14.8585, 16.4135, 17.9685, 19.5235, 
      21.0785, 22.6335, 24.1885, 25.7435, 27.2985, 28.8535, 30.4085, 
      4.2285, 5.8835, 7.5385, 9.1935, 10.8485, 12.5035, 14.1585, 15.8135, 
      17.4685, 19.1235, 20.7785, 22.4335, 24.0885, 25.7435, 27.3985, 
      29.0535, 30.7085, 32.3635, 4.4835, 6.2385, 7.9935, 9.7485, 11.5035, 
      13.2585, 15.0135, 16.7685, 18.5235, 20.2785, 22.0335, 23.7885, 
      25.5435, 27.2985, 29.0535, 30.8085, 32.5635, 34.3185, 4.7385, 
      6.5935, 8.4485, 10.3035, 12.1585, 14.0135, 15.8685, 17.7235, 
      19.5785, 21.4335, 23.2885, 25.1435, 26.9985, 28.8535, 30.7085, 
      32.5635, 34.4185, 36.2735, 4.9935, 6.9485, 8.9035, 10.8585, 12.8135, 
      14.7685, 16.7235, 18.6785, 20.6335, 22.5885, 24.5435, 26.4985, 
      28.4535, 30.4085, 32.3635, 34.3185, 36.2735, 38.2285), 
    .Dim = c(18L, 18L), .Dimnames = list(NULL, NULL))
b <- c(5.97, 7.07, 8.17, 9.27, 10.37, 11.47, 9.57, 10.67, 11.77, 12.87, 
       13.97, 15.07, 16.17, 17.27, 18.37, 19.47, 20.57, 21.67)

MATLAB和R之间的不同左分裂

奢欲 2025-02-20 18:44:10

我可以使用_Sheets.sort()标题来实现此目标。这是一个相同的示例...

import openpyxl
from openpyxl.cell import WriteOnlyCell

#Create workbook in write_only mode as you did
output_workbook = Workbook(write_only=True)

#Add 4 sheets 
ws1 = output_workbook.create_sheet("clientB_sheet_title")
ws2 = output_workbook.create_sheet("clientA_sheet_title")
ws3 = output_workbook.create_sheet("clientD_sheet_title")
ws4 = output_workbook.create_sheet("clientC_sheet_title")

#Add some data at start
cell = WriteOnlyCell(ws1, value="hello clientB")
ws1.append([cell, 3.14, None])

cell = WriteOnlyCell(ws2, value="hello clientA")
ws2.append([cell, 3.14, None])

cell = WriteOnlyCell(ws3, value="hello clientD")
ws3.append([cell, 3.14, None])

cell = WriteOnlyCell(ws4, value="hello clientC")
ws4.append([cell, 3.14, None])

### The key to your question - The sorting of titles ###
output_workbook._sheets.sort(key=lambda ws: ws.title)

#Finally save
output_workbook.save("output_file.xlsx")

输出excel

“在此处输入图像说明”

选项-2 使用MOVE_SHEET()使用MOVE_SHEET()选项

根据Charlie Clark的建议, ,更好,更安全的选项是使用move_sheets()。也添加了同样的东西。请注意,我只包括将替换最后两个命令(_Sheet和保存)的代码。结果相同...

asc_sheetlist = output_workbook.sheetnames
asc_sheetlist.sort()
for pos, name in enumerate(asc_sheetlist):
    output_workbook.move_sheet(name, pos - output_workbook.sheetnames.index(name))
    
output_workbook.save("output_file.xlsx")

I am able to achieve this using _sheets.sort() the titles. Here is an example to demonstrate the same...

import openpyxl
from openpyxl.cell import WriteOnlyCell

#Create workbook in write_only mode as you did
output_workbook = Workbook(write_only=True)

#Add 4 sheets 
ws1 = output_workbook.create_sheet("clientB_sheet_title")
ws2 = output_workbook.create_sheet("clientA_sheet_title")
ws3 = output_workbook.create_sheet("clientD_sheet_title")
ws4 = output_workbook.create_sheet("clientC_sheet_title")

#Add some data at start
cell = WriteOnlyCell(ws1, value="hello clientB")
ws1.append([cell, 3.14, None])

cell = WriteOnlyCell(ws2, value="hello clientA")
ws2.append([cell, 3.14, None])

cell = WriteOnlyCell(ws3, value="hello clientD")
ws3.append([cell, 3.14, None])

cell = WriteOnlyCell(ws4, value="hello clientC")
ws4.append([cell, 3.14, None])

### The key to your question - The sorting of titles ###
output_workbook._sheets.sort(key=lambda ws: ws.title)

#Finally save
output_workbook.save("output_file.xlsx")

Output excel

enter image description here

OPTION - 2 (better and safer option) using move_sheet()

As per Charlie Clark's recommendation, the better and safer option is to use move_sheets(). The same has been added. Note that I am only including the code that will replace the last two commands (_sheet and save). Results are the same...

asc_sheetlist = output_workbook.sheetnames
asc_sheetlist.sort()
for pos, name in enumerate(asc_sheetlist):
    output_workbook.move_sheet(name, pos - output_workbook.sheetnames.index(name))
    
output_workbook.save("output_file.xlsx")

在WriteNlyWorksheet模式下使用openPXL按字母顺序订购工作表

奢欲 2025-02-20 12:21:31

停止方法,通话停止将无法确保停止工作。您必须通过使用get ummummary或任何类似的方法进行轮询作业执行状态。

使用提供的ID将停止信号发送到Jobexecution。这
如果此方法返回true,则成功发送信号,但是
并不意味着工作已经停止。确定这一点的唯一方法
是为了轮询工作执行状态。

此外,当您获得nosuchjobexecutionException执行力停止时,它不会进入您的if(jobexecution!= null&amp;&amp; jobexecution.isrunning.isrunning()){工作已经在停止或已经停止的过程中。这可能是例外没有被抓住的原因。

As per stop method, calling stop will not make sure job is stopped. You have to poll for job execution status either by using getSummary or any similar methods.

Send a stop signal to the JobExecution with the supplied id. The
signal is successfully sent if this method returns true, but that
doesn't mean that the job has stopped. The only way to be sure of that
is to poll the job execution status.

Moreover, when you get NoSuchJobExecutionException while doing force stop, it is not going into your if (jobExecution != null && jobExecution.isRunning()) { block as job is already in process of stopping or already stopped. That can be reason of exception not being caught.

为什么我的尝试不会在Java找到工作?

奢欲 2025-02-20 11:32:42

PowerQuery的另一种方式

#"Added Custom" = Table.AddColumn("#PriorStepNameHere", "TOTAL", each  List.Sum(List.Transform(Record.ToList(_), each try Number.From(_)-Number.From(_) otherwise 1)))

Another way in PowerQuery

#"Added Custom" = Table.AddColumn("#PriorStepNameHere", "TOTAL", each  List.Sum(List.Transform(Record.ToList(_), each try Number.From(_)-Number.From(_) otherwise 1)))

在PowerQuery表中如何计数行,仅包含文本值

奢欲 2025-02-20 01:32:14

使用懒惰加载导入所有组件,并添加悬疑以处理路由错误,如果发生错误,请在悬疑中添加加载程序代码来处理它。

//import your all pages using lazy loading
const Privacy = React.lazy(() => import('./Privacy'));

  <Suspense fallback={<Spinner />}>
     <Router>
      <Route exact path="/">
        <Redirect to="/tab" />
      </Route>
        <Route exact path="/privacy" component={Privacy} />
        <Route exact path="/termsofuse" component={TermsOfUse} />
        <Route exact path="/tab" component={Tab} />
        <Route exact path="/config" component={TabConfig} />
      </Router>
    </Suspense>

Import all components using lazy loading and add suspense to handle routes error if it happens then add your loader code in suspense to handle it.

//import your all pages using lazy loading
const Privacy = React.lazy(() => import('./Privacy'));

  <Suspense fallback={<Spinner />}>
     <Router>
      <Route exact path="/">
        <Redirect to="/tab" />
      </Route>
        <Route exact path="/privacy" component={Privacy} />
        <Route exact path="/termsofuse" component={TermsOfUse} />
        <Route exact path="/tab" component={Tab} />
        <Route exact path="/config" component={TabConfig} />
      </Router>
    </Suspense>

错误:路由器不能用作JSX组件

奢欲 2025-02-20 01:12:47

使用SSH,有几种不同类型的键和RSA键(ssh-rsa)可以支持多种签名。签名类型ssh-rsa用SHA-1指的是RSA,而签名类型rsa-sha2-256是带有SHA-256和RSA-SHA2的RSA -512是带有SHA-512的RSA。

就Azure DevOps而言,它仅支持SHA-1的RSA类型,而SHA-1被认为非常弱。从本质上讲,这意味着没有安全的方法可以通过SSH连接到它,直到他们解决此问题之前,最好使用HTTPS或其他托管服务。 GitHub,GitLab和Bitbucket都支持安全身份验证的安全方法。

如果您目前确实需要与Azure DevOps一起使用SSH,则可以在〜/.ssh/config文件中添加一个条目以解决此问题:

Host ssh.dev.azure.com
    User git
    PubkeyAcceptedAlgorithms +ssh-rsa
    HostkeyAlgorithms +ssh-rsa

但是,请注意,这是解决方法众所周知,这是不安全的,因此您应该联系有关此问题的Azure Devops,然后切换到HTTPS,直到它们做到或移动到其他地方。

With SSH, there are several different types of keys and RSA keys (the ssh-rsa) kind can support multiple kinds of signatures. The signature type ssh-rsa refers to RSA with SHA-1, whereas the signature type rsa-sha2-256 is RSA with SHA-256 and rsa-sha2-512 is RSA with SHA-512.

In the case of Azure DevOps, it only supports the kind of RSA with SHA-1, and SHA-1 is considered very weak. This essentially means that there are no secure ways to connect to it over SSH, and until they fix that, you're better off using HTTPS or a different hosting service. GitHub, GitLab, and Bitbucket all support secure methods of authentication.

If you really need to use SSH with Azure DevOps at the moment, you can add an entry to your ~/.ssh/config file to work around this:

Host ssh.dev.azure.com
    User git
    PubkeyAcceptedAlgorithms +ssh-rsa
    HostkeyAlgorithms +ssh-rsa

However, be aware that this is a workaround and it's known to be insecure, so you should contact Azure DevOps about this problem and switch to HTTPS until they do, or move elsewhere.

git错误未找到匹配的主机密钥类型。他们的报价:SSH-RSA

奢欲 2025-02-19 20:50:20

我不知道这是否是最干净的方式,但是您可以使用REST API从/将数据从/发送到SpringBoot服务器。

有关更多信息: https://medium.com/nerd-for-tech/flutter-series-connecting-ui-to-spring-boot-boot-backend-f9874dc3dcd5

用于扑朔迷离的项目结构,您可以使用bloc或bloc或任何其他国家管理。

I don't know whether it will be the cleanest way or not but you can use REST APIs to get/send data from/to Springboot Server.

For more information: https://medium.com/nerd-for-tech/flutter-series-connecting-ui-to-spring-boot-backend-f9874dc3dcd5

For your Flutter Project structure, you can use BLoC or any other state management.

使用API​​将数据发送到Springboot服务器的最佳方法是什么?

奢欲 2025-02-19 20:11:17

这是有点优化的查询,我完全删除了has_parent,并让孩子在查询上方加入以获取朋友,从数据库中获取它并以简单的术语查询提供ID,

          GET trending/_search
{"size": 40, 
  "query": {
    "bool": {
      "must": [
        {
          "term": {
            "type": "post"
          }
        },
        {
          "terms": {
            "post_type_id": [
              1,
              2,
              5,
              7
            ]
          }
        },
      {                                       "terms":{
                                          "user_id":[
                                             5,
                                             14,
                                             19,
                                             30,
                                             31,
                                             60,
                                             64,
                                             72,
                                             74,
                                             75,
                                             77,
                                             80,
                                             81,
                                             85,
                                             92,
                                             101,
                                             112,
                                             138,
                                             139,
                                             189,
                                             196,
                                             201,
                                             205,
                                             210,
                                             211,
                                             224,
                                             238,
                                             239,
                                             274,
                                             275,
                                             283,
                                             336,
                                             421,
                                             434,
                                             585,
                                             633,
                                             649,
                                             687,
                                             788,
                                             836,
                                             1442,
                                             1479,
                                             1607,
                                             1699,
                                             1775,
                                             1779,
                                             1784,
                                             1823,
                                             1863,
                                             1868,
                                             1899,
                                             2131,
                                             2170,
                                             2329,
                                             2376,
                                             2389,
                                             2401,
                                             2405,
                                             2508,
                                             2568,
                                             2802,
                                             2892,
                                             3074,
                                             3082,
                                             3196,
                                             3312,
                                             3315,
                                             3326,
                                             3391,
                                             3520,
                                             3765,
                                             3853,
                                             3983,
                                             4037,
                                             4436,
                                             4533,
                                             4936,
                                             5018,
                                             5116,
                                             5131,
                                             5353,
                                             5653,
                                             5673,
                                             5674,
                                             5699,
                                             5713,
                                             5789,
                                             5837,
                                             5889,
                                             6391,
                                             6586,
                                             6641,
                                             6819,
                                             6872,
                                             6942,
                                             7302,
                                             7427,
                                             7765,
                                             7828,
                                             8204,
                                             8205,
                                             8402,
                                             8608,
                                             8625,
                                             8655,
                                             8695,
                                             9026,
                                             9116,
                                             9365,
                                             9430,
                                             9600,
                                             14080,
                                             14594,
                                             16543,
                                             17115,
                                             17118,
                                             17825,
                                             17914,
                                             18323,
                                             18368,
                                             18371,
                                             18636,
                                             19071,
                                             19415,
                                             19418,
                                             19632,
                                             19712,
                                             19727,
                                             19978,
                                             20000,
                                             20433,
                                             21132,
                                             23015,
                                             24514,
                                             25266,
                                             25601,
                                             27300,
                                             28493,
                                             28658,
                                             29433,
                                             29441,
                                             29460,
                                             29604,
                                             30104,
                                             30176,
                                             30525,
                                             30965,
                                             31072,
                                             31130,
                                             31497,
                                             31915,
                                             32004,
                                             32184,
                                             32294,
                                             32337,
                                             34053,
                                             36019,
                                             36246,
                                             36986
                                          ]
                                       }
},
        {
          "has_child": {
            "type": "post_box",
            "query": {
              "bool": {
                "must": [
                  {
                    "terms": {
                      "status": [
                        "A",
                        "F"
                      ]
                    }
                  }
                ]
              }
            }
          }
        },
        {
          "range": {
            "created_at": {
              "lte": "2022-07-06T07:19:39Z"
            }
          }
        }
      ]
    }
  }
}

Here is the somewhat optimized query , I totally remove the has_parent and has child join at above the query to get the friends, getting it from the db and providing the ids in simple terms query,

          GET trending/_search
{"size": 40, 
  "query": {
    "bool": {
      "must": [
        {
          "term": {
            "type": "post"
          }
        },
        {
          "terms": {
            "post_type_id": [
              1,
              2,
              5,
              7
            ]
          }
        },
      {                                       "terms":{
                                          "user_id":[
                                             5,
                                             14,
                                             19,
                                             30,
                                             31,
                                             60,
                                             64,
                                             72,
                                             74,
                                             75,
                                             77,
                                             80,
                                             81,
                                             85,
                                             92,
                                             101,
                                             112,
                                             138,
                                             139,
                                             189,
                                             196,
                                             201,
                                             205,
                                             210,
                                             211,
                                             224,
                                             238,
                                             239,
                                             274,
                                             275,
                                             283,
                                             336,
                                             421,
                                             434,
                                             585,
                                             633,
                                             649,
                                             687,
                                             788,
                                             836,
                                             1442,
                                             1479,
                                             1607,
                                             1699,
                                             1775,
                                             1779,
                                             1784,
                                             1823,
                                             1863,
                                             1868,
                                             1899,
                                             2131,
                                             2170,
                                             2329,
                                             2376,
                                             2389,
                                             2401,
                                             2405,
                                             2508,
                                             2568,
                                             2802,
                                             2892,
                                             3074,
                                             3082,
                                             3196,
                                             3312,
                                             3315,
                                             3326,
                                             3391,
                                             3520,
                                             3765,
                                             3853,
                                             3983,
                                             4037,
                                             4436,
                                             4533,
                                             4936,
                                             5018,
                                             5116,
                                             5131,
                                             5353,
                                             5653,
                                             5673,
                                             5674,
                                             5699,
                                             5713,
                                             5789,
                                             5837,
                                             5889,
                                             6391,
                                             6586,
                                             6641,
                                             6819,
                                             6872,
                                             6942,
                                             7302,
                                             7427,
                                             7765,
                                             7828,
                                             8204,
                                             8205,
                                             8402,
                                             8608,
                                             8625,
                                             8655,
                                             8695,
                                             9026,
                                             9116,
                                             9365,
                                             9430,
                                             9600,
                                             14080,
                                             14594,
                                             16543,
                                             17115,
                                             17118,
                                             17825,
                                             17914,
                                             18323,
                                             18368,
                                             18371,
                                             18636,
                                             19071,
                                             19415,
                                             19418,
                                             19632,
                                             19712,
                                             19727,
                                             19978,
                                             20000,
                                             20433,
                                             21132,
                                             23015,
                                             24514,
                                             25266,
                                             25601,
                                             27300,
                                             28493,
                                             28658,
                                             29433,
                                             29441,
                                             29460,
                                             29604,
                                             30104,
                                             30176,
                                             30525,
                                             30965,
                                             31072,
                                             31130,
                                             31497,
                                             31915,
                                             32004,
                                             32184,
                                             32294,
                                             32337,
                                             34053,
                                             36019,
                                             36246,
                                             36986
                                          ]
                                       }
},
        {
          "has_child": {
            "type": "post_box",
            "query": {
              "bool": {
                "must": [
                  {
                    "terms": {
                      "status": [
                        "A",
                        "F"
                      ]
                    }
                  }
                ]
              }
            }
          }
        },
        {
          "range": {
            "created_at": {
              "lte": "2022-07-06T07:19:39Z"
            }
          }
        }
      ]
    }
  }
}

Elasticsearch查询/结果优化

奢欲 2025-02-19 06:49:41
df.loc[3] = df.loc[3:10].sum()
df.loc[3] = df.loc[3:10].sum()

从熊猫中的特定索引开始,总和行在一起

奢欲 2025-02-19 02:02:24

我想您的意思是:airflow **任务**清除...

仅清楚一组任务实例,好像它们从未运行(这不是回滚)

I guess you meant : airflow **tasks** clear ...

It is only clear the set of task instance, as if they never ran (it is not rollback)

气流清除任务是否也从数据库中删除数据?

奢欲 2025-02-18 23:18:44

答案1

原因是您对同一数据库列有两个可写的映射,并且不允许

答案2

使其中一台映射仅读取解决问题,因为这样只有一个映射将是可写的

Answer 1

The reason is that you have two writable mappings for the same database column and this is not allowed

Answer 2

Making one of the mappings read-only solves the problem because then only one mapping will be writable

deplicatemappingException包含物理列名称,该名称由多个逻辑列名在向学生实体添加Passportid上的多个逻辑列名称

奢欲 2025-02-18 22:39:17

这称为分页。

如果您的集合的大小超过了页面大小,只需要求下一页: https://docs.strapi.io/developer-docs/latest/developer-resources/database-pabase-apis-reference-reference-reference-reference-reference-reference-reference-referenc--referenc--refere/rest/rest/sort-paginati一下一下>您还可以使用config/api.js中的限制

// path: ./config/api.js

module.exports = ({ env }) => ({
  rest: {
    defaultLimit: 100,
    maxLimit: 250,
  },
});

This is called pagination.

If the size of your collection exceeds the page size, simply ask for the next page: https://docs.strapi.io/developer-docs/latest/developer-resources/database-apis-reference/rest/sort-pagination.html or you can also change the limit in config/api.js with

// path: ./config/api.js

module.exports = ({ env }) => ({
  rest: {
    defaultLimit: 100,
    maxLimit: 250,
  },
});

我无法作为strapi后端找到JSON文件中的所有数据?

奢欲 2025-02-18 20:00:16

我能够通过此IAM政策实现所需的结果:
IAM策略允许IAM用户自我管理MFA设备。本政策提供了使用AWS控制台或AWS CLI完成此操作所需的权限。

mfaselfmanagedpolicy

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Action": [
                "iam:CreateVirtualMFADevice",
                "iam:EnableMFADevice",
                "iam:ResyncMFADevice",
                "iam:DeleteVirtualMFADevice"
            ],
            "Resource": [
                "arn:aws:iam::*:mfa/${aws:username}",
                "arn:aws:iam::*:user/${aws:username}"
            ],
            "Effect": "Allow"
        },
        {
            "Action": [
                "iam:DeactivateMFADevice"
            ],
            "Resource": [
                "arn:aws:iam::*:mfa/${aws:username}",
                "arn:aws:iam::*:user/${aws:username}"
            ],
            "Effect": "Allow",
            "Condition": {
                "Bool": {
                    "aws:MultiFactorAuthPresent": "true"
                }
            }
        },
        {
            "Action": [
                "iam:ListMFADevices",
                "iam:ListVirtualMFADevices",
                "iam:ListUsers"
            ],
            "Resource": "*",
            "Effect": "Allow"
        }
    ]
}

I am able to achieve the desired result through this IAM Policy :
IAM policy that allows IAM users to self-manage an MFA device. This policy provides the permissions necessary to complete this action using the AWS Console or AWS CLI .

MFASelfManagedPolicy

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Action": [
                "iam:CreateVirtualMFADevice",
                "iam:EnableMFADevice",
                "iam:ResyncMFADevice",
                "iam:DeleteVirtualMFADevice"
            ],
            "Resource": [
                "arn:aws:iam::*:mfa/${aws:username}",
                "arn:aws:iam::*:user/${aws:username}"
            ],
            "Effect": "Allow"
        },
        {
            "Action": [
                "iam:DeactivateMFADevice"
            ],
            "Resource": [
                "arn:aws:iam::*:mfa/${aws:username}",
                "arn:aws:iam::*:user/${aws:username}"
            ],
            "Effect": "Allow",
            "Condition": {
                "Bool": {
                    "aws:MultiFactorAuthPresent": "true"
                }
            }
        },
        {
            "Action": [
                "iam:ListMFADevices",
                "iam:ListVirtualMFADevices",
                "iam:ListUsers"
            ],
            "Resource": "*",
            "Effect": "Allow"
        }
    ]
}

AWS中的IAM,MFA政策的问题

更多

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