您正在尝试在null
上使用seturi()
。
您仅检查是否有一个称为“服务详细信息操作”的侧栏元素 - 但是,如果“服务详细措施”,“登录到cpanel”或“登录到Webmail”不存在,则您正在尝试设置URI对于不存在的副本子元素。
这很可能与WHMCS更改Menuitems在8.4.1中的工作方式有关: https://docs.whmcs.com/changelog:whmcs_v8.4#maintance_4
core -17437-防止声明错误与菜单项有关
也称为:core-17436
新名称是“ Cpanel”和“ Webmail”,而不是“登录到Cpanel”和“登录到WebMail”。
为了避免抛出例外,您应该检查Menuitem是否存在。
我使用module.export =“ value”
获取我想要的数据。我在index.js中进行了此操作,需要索引。
const datas = require("./index.js")
const client = datas.Client
- 是的,A 简单关联将是正确的选择。无论如何,这是一个
共享聚合
,它没有定义的语义。参见p。 UML 2.5的110:
表示该属性已共享聚合语义。共享聚合的精确语义因应用区域和建模者而异。
因此,您最好询问图表作者有关他的意图。
- 这不是依赖性,而是关联。依赖性将用虚线呈现。导航性(使您认为这是一种依赖性的箭头权利)是少量用途。它表明
OrderDetail
可以看到item
,但反之亦然。最好仅在一侧使用角色名称来表达这一事实。例如,仅在右侧放置item
,而左侧没有任何内容。
我们能学到什么? UML是关于沟通的!
时钟周期5-7在您的桌子上不正确。这是正确的表:
Clk State
1 IDLE
2 SETUP
3 ACCESS
4 ACCESS
5 ACCESS
6 IDLE
7 SETUP
8 ACCESS
9 ACCESS
5仍然处于访问状态,因为PSEL和PENABLE仍然是1。6
处于空闲状态,因为PSEL和PENABLE为0。第1个APB传输在第5周期中完成。7
是2nd的开始APB传输,这是设置状态。
可以从访问设置过渡,但这将需要PSEL保留1。这将是背对背的转移(转移之间没有空闲)。您的波形并未显示这种情况。但是,背靠背的转移看起来像这样:
1 2 3 4 5 6 7 8 9
_ _ _ _ _ _ _ _ _
clk _| |_| |_| |_| |_| |_| |_| |_| |_| |_
__________________________
psel _____|
___________ _______
penable _________| |___|
_______ ___
pready _________________| |___|
state I S A A A S A A
我不知道他为什么没有将其作为答案,但是您可以做Dean Flinter所说的话:
SELECT pid
,LISTAGG(DISTINCT acc_no, ',') WITHIN GROUP(ORDER BY acc_no)
AS acc_no_txt
FROM
(SELECT pid
,CASE WHEN acc_no_v01 IN ('not found','blank','nil-value','',' ','null') THEN NULL
ELSE acc_no_v01
END
AS acc_no
,MIN(TRY_TO_NUMBER(T2.vp_no)) AS vp_no
FROM table_1 T1
JOIN table_2 T2
ON T2.click_stream_integration_id = T1.click_stream_integration_id
WHERE T2.date = '2022-01-01'
AND pid='123456789'
GROUP BY pid,acc_no_v01
ORDER BY TRY_TO_NUMBER(vp_no)
)
GROUP BY pid;
scroll-behavior css属性元素顺利滚动。
element.scrollintoview 用于程序上卷轴滚动一个元素。
如果您想滚动到页面的标题 scroll-behavior:smooth
您可以选择行为
选项并设置它到平滑
。
var header = document.getElementById("header")
header.scrollIntoView({ behavior: "smooth" })
您可以尝试使用给定的2种方法。
1。
<form #f="ngForm" (ngSubmit)="submit(f)">
<div class="form-group">
<label for="firstname">Name </label><br />
<input
type="text"
class="form-control"
name="firstname"
[(ngModel)]="employee.firstname"
/>
</div>
<button class="btn" type="submit">Update Employee Name</button>
</form>
<form #f="ngForm" (ngSubmit)="submit(f)">
<div class="form-group">
<label for="firstname">Name </label><br />
<input
type="text"
class="form-control"
name="firstname"
[value]="employee.firstname"
/>
</div>
<button class="btn" type="submit">Update Employee Name</button>
</form>
您不显示代码,但我想您使用scrollview。您可以尝试添加参数:physics = NeverScrollablesCrollphysics(),
to ListView Widget。
这是我想到的,它对其他人可能很有用 - 将ACSII转换为十进制,创建AudioBuffer,这是ASCII/DICMAL的长度,映射值-1和1之间的小数-1和1之间,将结果放入AudioBuffer中并播放。一旦您知道要寻找什么(我完全没有)就不复杂。
// String to convert to audio
var html = "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed accumsan commodo pretium. Aliquam porta tortor ut quam sagittis posuere. Nullam in condimentum purus, nec vulputate risus. Sed a sollicitudin ipsum. Pellentesque diam nisi, viverra vitae metus at, consectetur posuere lorem. Morbi faucibus sed mi quis cursus. Morbi et tincidunt sem. Phasellus pretium ultricies massa, sit amet consectetur urna rutrum nec. Proin vel velit neque. Fusce eget nulla dui. Phasellus id risus ut lacus laoreet rhoncus. Nunc ultrices eleifend eros, et rhoncus dui dictum sit amet. In dignissim velit ac rhoncus faucibus. Sed viverra lorem at nulla mollis auctor. Etiam vel lacinia neque. Nullam ipsum sapien, rutrum egestas nulla a, efficitur mattis nisi. Nulla non nibh arcu. Vestibulum quis dui non mauris placerat egestas. Suspendisse potenti. Nulla porta id felis sit amet feugiat. Fusce felis metus, ultrices eget posuere id, consectetur nec augue. Nulla nec tortor ac felis rhoncus tempor quis id erat. Nam semper tincidunt ex eu iaculis. Cras a turpis eget dui viverra elementum. In eu orci sodales, ornare leo ut, fermentum elit. Aenean non sem at dui laoreet gravida eu a magna. Praesent vitae urna mattis, efficitur erat id, sagittis neque. Sed sit amet suscipit felis. Nam fringilla ligula leo, vitae malesuada ipsum tincidunt nec. Proin at justo in nisl accumsan consectetur. Phasellus sit amet nisl lacus. Quisque ornare enim laoreet sapien ultricies, ornare faucibus diam condimentum. Donec facilisis at turpis in iaculis. Phasellus laoreet condimentum varius. Phasellus sed dui ut nibh placerat ultrices quis vel lacus. Cras nec vehicula diam. Vivamus vel lacus accumsan, faucibus quam vitae, hendrerit nibh. Aliquam et elementum nunc. Sed mi est, lobortis eu orci sed, tempor vehicula mauris. Aenean non massa varius, ultrices justo eu, cursus ante. In ex nulla, tincidunt eget arcu hendrerit, tempor eleifend ipsum. Vivamus suscipit justo at finibus faucibus. Cras dolor erat, blandit sit amet lacus sit amet, sollicitudin aliquet arcu. Nulla nec sodales neque. Suspendisse sed laoreet mauris. Curabitur sapien neque, lobortis at blandit in, eleifend aliquet velit. Nullam dictum justo quis tellus rutrum, at tincidunt libero iaculis. Nulla convallis eget nisl viverra hendrerit. Nulla imperdiet orci non suscipit elementum. Nunc a metus finibus arcu fermentum porttitor. Morbi semper porttitor cursus.";
// String length
var htmllength = html.length;
// Create an audio context
const audioCtx = new (window.AudioContext || window.webkitAudioContext)();
// Create an empty three-second stereo buffer at the sample rate of the AudioContext
//const audiobuffer = audioCtx.createBuffer(2, audioCtx.sampleRate * 3, audioCtx.sampleRate);
const audiobuffer = audioCtx.createBuffer(2, htmllength, audioCtx.sampleRate);
// Map a number from one range to another
function map (number, inMin, inMax, outMin, outMax)
{
return (number - inMin) * (outMax - outMin) / (inMax - inMin) + outMin;
}
// Fill the buffer with white noise;
// just random values between -1.0 and 1.0
for (var channel = 0; channel < audiobuffer.numberOfChannels; channel++)
{
// This gives us the actual array that contains the data
var nowBuffering = audiobuffer.getChannelData(channel);
// Loop through the array
for (var i = 0; i < audiobuffer.length; i++)
{
// Get each character
var char = html.charAt(i);
// Get the character's binary character code (0 - 256)
var decimal = char.charCodeAt(0);
// Map binary character code to PCM audio number
var pcmnumber = map(decimal, 0, 256, -1, 1);
// Add PCM audio to group of slots in audiobuffer
nowBuffering[i] = pcmnumber;
}
}
// Get an AudioBufferSourceNode.
// This is the AudioNode to use when we want to play an AudioBuffer
var source = audioCtx.createBufferSource();
// set the buffer in the AudioBufferSourceNode
source.buffer = audiobuffer;
// Set volume
gainnode = audioCtx.createGain();
gainnode.gain.value = 1.0;
// Slow down the playback rate
source.playbackRate.value = 0.1;
// connect the AudioBufferSourceNode to the
// destination so we can hear the sound
source.connect(gainnode).connect(audioCtx.destination);
// start the source playing
//source.loop = true;
source.start(0);
我认为您想更改
$teachername = implode(",",$teachername);
$submittedby = implode(",",$submittedby);
$item = implode(",",$item);
$description = implode(",",$description);
$quantity = implode(",",$quantity);
$vendor = implode(",",$vendor);
$notes = implode(",",$notes);
$count = 1;
$insertquery = "INSERT INTO orderinfo(teachername,submittedby,item,description,quantity,vendor,notes) VALUES('".$teachername."','".$submittedby."','".$item."','".$description."','".$quantity."','".$vendor."','".$notes."')";
mysqli_query($con,$insertquery);
为
$teachername = implode(",",$teachername);
$submittedby = implode(",",$submittedby);
$notes = implode(",",$notes);
for ($i = 0; $i <= count($item); $i++) {
$curItem = $item[$i];
$curDescription = $description[$i];
$curQuantity = $quantity[$i];
$curVendor = $vendor[$i];
$insertquery = "INSERT INTO orderinfo(teachername,submittedby,item,description,quantity,vendor,notes) VALUES('".$teachername."','".$submittedby."','".$curItem."','".$curDescription."','".$curQuantity."','".$curVendor."','".$notes."')";
mysqli_query($con,$insertquery);
}
,以便为每个$ item
,您将新行插入数据库。
您可以使用以下给出的内容,
>>> import pandas as pd
>>> import numpy as np
>>>
>>> dictA = {'emp ID': [0, 1],'FirstName': ['Prasanna', 'Siva'],'LastName': ['K','B']
... }
>>>
>>> dictB = {'emp ID': [0, 1, 2],'FirstName': ['Prasanna', 'Siva', 'Karunas'],'LastName': ['K','B','Y']
... }
>>>
>>>
>>>
>>>
>>> dfA = pd.DataFrame(dictA)
>>> dfB = pd.DataFrame(dictB)
>>>
>>>
>>>
>>> dfA
emp ID FirstName LastName
0 0 Prasanna K
1 1 Siva B
>>> dfB
emp ID FirstName LastName
0 0 Prasanna K
1 1 Siva B
2 2 Karunas Y
>>>
# For checking whether there are some unique values of dataframe B which are not present in dataframe A
>>> dfB['present'] = dfB['emp ID'].isin(dfA['emp ID'])
>>> dfB
emp ID FirstName LastName present
0 0 Prasanna K True
1 1 Siva B True
2 2 Karunas Y False
# For checking whether there are unique values of dataframe A which are not present in dataframe B
>>> dfA['present'] = dfA['emp ID'].isin(dfB['emp ID'])
>>> dfA
emp ID FirstName LastName present
0 0 Prasanna K True
1 1 Siva B True
进行编辑
>>> import pandas as pd
>>> import numpy as np
>>>
... dictA = {'emp ID': [0, 1,2,3],'FirstName': ['Prasanna', 'Siva','Bala','foo'],'LastName': ['K','B','Y','Y_F']
... }
>>>
... dictB = {'emp ID': [0, 1, 2],'FirstName': ['Prasanna', 'Siva', 'Karunas'],'LastName': ['K','B','Y'] }
>>>
...
...
...
... dfA = pd.DataFrame(dictA)
>>> dfB = pd.DataFrame(dictB)
>>>
...
>>>
>>>
... dfA
emp ID FirstName LastName
0 0 Prasanna K
1 1 Siva B
2 2 Bala Y
3 3 foo Y_F
>>>
>>> dfB
emp ID FirstName LastName
0 0 Prasanna K
1 1 Siva B
2 2 Karunas Y
>>>
>>>
...
>>> # For checking whether there are some unique values of dataframe B which are not same in dataframe A (for all columns together)
...
>>> dfB['same_all'] = dfB['emp ID'].isin(dfA['emp ID']) & dfB['FirstName'].isin(dfA['FirstName']) & dfB['LastName'].isin(dfA['LastName'])
>>>
...
>>> dfB
emp ID FirstName LastName same_all
0 0 Prasanna K True
1 1 Siva B True
2 2 Karunas Y False
>>>
>>> # Or for checking each column separately you can use something like for dataframe A
... dfB['same_emp_ID'] = dfB['emp ID'].isin(dfA['emp ID'])
>>>
>>> dfB['same_FirstName'] = dfB['FirstName'].isin(dfA['FirstName'])
>>>
>>> dfB['same_LastName'] = dfB['LastName'].isin(dfA['LastName'])
>>>
>>> # For checking whether there are unique values of dataframe A which are not same in dataframe B (for all columns together)
...
>>> dfA['same_all'] = dfA['emp ID'].isin(dfB['emp ID']) & dfA['FirstName'].isin(dfB['FirstName']) & dfA['LastName'].isin(dfB['LastName'])
>>>
>>>
>>> dfA
emp ID FirstName LastName same_all
0 0 Prasanna K True
1 1 Siva B True
2 2 Bala Y False
3 3 foo Y_F False
>>>
>>>
>>> # Or for checking each column separately you can use something like for dataframe A
... dfA['same_emp_ID'] = dfA['emp ID'].isin(dfB['emp ID'])
>>>
>>> dfA['same_FirstName'] = dfA['FirstName'].isin(dfB['FirstName'])
>>>
>>> dfA['same_LastName'] = dfA['LastName'].isin(dfB['LastName'])
>>>
>>>
>>> dfA
emp ID FirstName LastName same_all same_emp_ID same_FirstName same_LastName
0 0 Prasanna K True True True True
1 1 Siva B True True True True
2 2 Bala Y False True False True
3 3 foo Y_F False False False False
>>>
>>> dfB
emp ID FirstName LastName same_all same_emp_ID same_FirstName same_LastName
0 0 Prasanna K True True True True
1 1 Siva B True True True True
2 2 Karunas Y False True False True
>>>
按照从在这里
下面的yaml应该起作用。
stages:
- stage: A
jobs:
- job: A
displayName: SQL generate variable
steps:
- powershell: |
$value = 'somevalue'
echo "##vso[task.setvariable variable=sqloutput;isOutput=true]$value"
name: setvarStep
- script: echo $(setvarStep.sqloutput)
name: echovar
- job: B
dependsOn: A
displayName: Use variable that SQL script output as condition
variables:
myVarFromJobA: $[ dependencies.A.outputs['setvarStep.sqloutput'] ] # map in the variable
myvar: true
condition: eq(variables['myVarFromJobA'],'somevalue')
steps:
- script: echo $(myVarFromJobA)
name: echovar
结果:
请尝试使用此(修改后的GGV2使用443端口)。另外,请确保您的角色和政策正确设置正确:
---
services:
aws.greengrass.Nucleus:
version: "2.5.6"
configuration:
mqtt:
port: 443
greengrassDataPlanePort: 443
aws.greengrass.FleetProvisioningByClaim:
configuration:
rootPath: "greengrass/v2"
awsRegion: "us-west-2"
iotDataEndpoint: "<data-endpoint>-ats.iot.us-west-2.amazonaws.com"
iotCredentialEndpoint: "<credentials-endpoint>.credentials.iot.us-west-2.amazonaws.com"
iotRoleAlias: "GGProvisionTest_TokenExchange_RoleAlias"
provisioningTemplate: "GGProvisionTest_Template"
claimCertificatePath: "greengrass/v2/claim-certs/claim.pem.crt"
claimCertificatePrivateKeyPath: "greengrass/v2/claim-certs/claim.private.pem.key"
rootCaPath: "greengrass/v2/AmazonRootCA1.pem"
templateParameters:
ThingName: "<thingName>"
ThingGroupName: "<thingGroup>"
我认为这个问题的快速解决方法可能是使用lodash的_。uniqby()
method( https://lodash.com/docs/4.17.15#uniqby )。这将为您提供19个重新加载的19个显示,但至少可以确保您没有任何重复的项目。
我认为真正的解决方案是弄清楚为什么API返回第10个项目两次。在尝试从数据库中获取原始查询时,起始值似乎可能是不正确的。
使用Burp Suite并与代理拦截器一起玩,看起来查询最终看起来像这样的东西:/api/cratce?locale = en&amp; populate =*&amp;分页[start] = 10&amp;分页[limit] = 10&amp; sort [0] = date%3ADESC
。我认为,如果您碰到分页[启动] 1,那应该实际上可以解决您的问题。至少对我做了。
您错过了印刷品的括号。
应该是
You missed a parenthesis in your print.
should be
TypeError:只有整数标量阵列可以转换为标量 - 2个基本阵列中的错误