For jwt-decode version 4, try below

const { jwtDecode } = require("jwt-decode");

Problem its gone after install AWS Toolkit for Visual Studio Code:

To get started working with AWS Toolkit for Visual Studio Code from VS Code, the following perquisites must be met. To learn more about accessing all of the AWS services and resources available from the AWS Toolkit for Visual Studio Code

https://docs.aws.amazon.com/es_es/toolkit-for-vscode/latest/userguide/setup-toolkit.html

thanks for all. i used the TextOut metod of TCanvas object. Vcl.Graphics.TCanvas.TextOut. and the code was MyDBGrid.Canvas.TextOut(Rect,Column.Field.DisplayText); and thanks fr all again.

Matt Raible's suggestion above solves the CORS issue and should be marked as the solution.

This post (https://www.databricks.com/blog/2015/07/13/introducing-r-notebooks-in-databricks.html) seems to say you can run R notebook in production in databricks.

You must register as a "compliance API partnership program", one of the LinkedIn partnership programs.

Below is the link for the form to apply:<go to faq's there you will find the link for form) https://learn.microsoft.com/en-us/linkedin/compliance/compliance-api/compliance-faq

It seems that it's not possible to turn off this feature, at least for now. However, you can generate the list file (using -l parameter) and scan for a call instruction cd0000 or a longer hex string (4 or 5 bytes) to find out where synthetic instructions are being used.

Of course, as soon as I post this I realize the issue.

I need to use the schema name.graphql_schema

So in my example, it should be:

graphql.type.validate_schema(new_schema.graphql_schema)
[]

Same as what mentioned in this answer by Scott.

I was looking for how to solve this issue of relative paths. This article showed to me how it is done. https://k0nze.dev/posts/python-relative-imports-vscode/

So you need to use the "env" key in launch.json to add your workspace directory to the PYTHONPATH and voila!

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Python: Module",
            "type": "python",
            "request": "launch",
            "program": "${file}",
            "env": {"PYTHONPATH": "${workspaceFolder}"}
        }
    ]
}

I just figured it out; Don't use vim, use nano.

The types module defines a FrameType

I want to download level 13 map tiles does any one have best solution for downloading...I prefer to go with open source tool but if any tool is available which can make my work easy...then please suggest I have gone through ArcGIS,QGIS,openstreetmap,map proxy, mapbox but I don't found them helpfull so please anyone suggest me the best way to do it. I have also tried by python script but I was only able to download till 12 level , when I downloaded 13 level they were download but they weare blank.

Use https://jwt.io/ to generate bearer token. Use this: Algorithm: ES256 Header: { "alg": "ES256", "kid": "[your key id]", "typ": "JWT" } Payload: { "iss": "[your issuer id]", "iat": 1734613799, "exp": 1734614999, "aud": "appstoreconnect-v1" } Note that 'exp' should be less than 1200 seconds from 'iat'. Insert your private key as entire text from downloaded p8 file into 'verify signature' field. Copy generated bearer token from the 'encoded' field.

POST https://api.appstoreconnect.apple.com/v1/authorization use your bearer token. It works for me.

Installing .NET Framework 3.5 resolved the issue for me.

My old server had SSRS version 13.0.5882.1 on Windows Server 2012 R2 Standard. My new server has SSRS version 16.0.1113.11 on Windows Server 2022 Standard. After hours of troubleshooting the only difference I found was the old server had both .NET Framework 3.5 and .NET Framework 4.5 installed, whereas my new server only had .NET Framework 4.5 installed. After installing .NET Framework 3.5 the barcodes started generating again.

I find it still a bit convoluted. But that's the simplest one-liner I could come up with.

// Test if `s` starts with a digit (0..9)
if s.chars().next().map(|c| c.is_ascii_digit()).unwrap() {
    println!("It starts with a digit!");
}

Could it have something to do with the following link?

https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/environments-cfg-autoscaling-launch-templates.html

AWS has disabled creating new Launch Configurations and only allows new Launch Templates. But it looks like they haven't fully updated Beanstalk to account for that. According to the link, when creating an environment you need to do one of the following to get Beanstalk to use templates:

• RootVolumeType option set to gp3. You can set this option with the console or the namespace.
• BlockDeviceMappings option contains gp3. You can set this option with the console or the namespace.
• DisableIMDSv1 option set to true. We recommend that you set this option using the namespace.
• EnableSpot option set to true. For more information, see Spot instance support and Configuration Auto Scaling group configuration.

Any clue how to fix this? I'm experiencing something similar. Some resolved issue (https://github.com/supabase/cli/issues/2539) on Supabase repo mentioned this problem was fixed so it may be related to something else.

did u find a solution to that? I need the same functionality, but I need to be able to connect 3 devices the same wifi direct. I want the process to be as much seamless as possible for the user by using QR

I was having the same problem. I had installed Google Earth Engine by doing a pip install ee. Then I found that that you need to run this:

pip install earthengine-api --upgrade

same issues is faced by me. Use below code to reslove this issues:

from tensorflow.keras.layers import Embedding, LSTM, Dropout, Dense
from tensorflow.keras.models import Sequential

# Ensure total_word and max_seq are defined correctly
model = Sequential()
model.add(Embedding(input_dim=total_word, output_dim=100, input_length=max_seq - 1))
model.build((None,max_seq)) # build the Embedding to inilizices the weight
model.add(LSTM(150, return_sequences=True))  
model.add(Dropout(0.2))
model.add(LSTM(100))  
model.add(Dense(total_word, activation='softmax'))

model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
model.summary()

Reason: The reason our model works after adding model.build((None, max_seq)) is that the Embedding layer requires the input shape to be defined before it can initialize its weights. By calling model.build((None, max_seq)), you explicitly define the input shape, allowing the Embedding layer to initialize its weights properly.

In Keras, layers like Embedding can be added to a model without specifying the input shape. However, the layer's weights are not initialized until the model's input shape is known. Calling model.build() with the input shape as an argument triggers the weight initialization process. This is particularly useful when the input shape is dynamic or not known at the time of model definition.

If you open a terminal on a Mac, navigate to the project, and run the command flutterfire configure , it should work.

try this:

list.SelectMany(item => item.Values, (item, values) => new { item.Key , values})

I found the below in the documentation

return_exceptions (bool) – Whether to return exceptions instead of raising them. Defaults to False.

So basically you just have to pass return_exceptions as True to the RunnableEach and it will just return it and not break the whole thing.

Reference

I´m trying to create an Azure Search vector index as well in the Azure ML UI (Prompt flow) portal but having an error in the component "LLM - Crack and Chunk Data": enter image description here

The error says: User program failed with BaseRagServiceError: Rag system error

Part of the logs is:

input_data=/mnt/azureml/cr/j/60652b595f69/cap/data-capability/wd/INPUT_input_data
input_glob=**/*
allowed_extensions=.txt,.md,.html,.htm,.py,.pdf,.ppt,.pptx,.doc,.docx,.xls,.xlsx,.csv,.json
chunk_size=1024
chunk_overlap=0
output_chunks=/mnt/azureml/cr/j/606547e361134e058c4829792b595f69/cap/data-capability/wd/output_chunks
data_source_url=azureml://locations/XXXXX/workspaces/04XXXX0/data/vector-index-input-1734572551882/versions/1
document_path_replacement_regex=None
max_sample_files=-1
use_rcts=True
output_format=jsonl
custom_loader=None
doc_intel_connection_id=None
output_title_chunk=None
openai_api_version=None
openai_api_type=None
[2024-12-19 01:43:28] INFO     azureml.rag.crack_and_chunk.crack_and_chunk - ActivityStarted, crack_and_chunk (activity.py:108)
[2024-12-19 01:43:28] INFO     azureml.rag.crack_and_chunk - Processing file: What is prompt flow.pdf (crack_and_chunk.py:127)
/azureml-envs/rag-embeddings/lib/python3.9/site-packages/pypdf/_crypt_providers/_cryptography.py:32: CryptographyDeprecationWarning: ARC4 has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.ARC4 and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.
  from cryptography.hazmat.primitives.ciphers.algorithms import AES, ARC4
[2024-12-19 01:43:31] INFO     azureml.rag.azureml.rag.documents.chunking - No file_chunks to yield, continuing (chunking.py:237)
[2024-12-19 01:43:31] INFO     azureml.rag.azureml.rag.documents.chunking - No file_chunks to yield, continuing (chunking.py:237)
[2024-12-19 01:43:31] INFO     azureml.rag.crack_and_chunk - [DocumentChunksIterator::filter_extensions] Filtered 0 files out of 1 (crack_and_chunk.py:129)
[2024-12-19 01:43:31] INFO     azureml.rag.crack_and_chunk - [DocumentChunksIterator::filter_extensions] Skipped extensions: {} (crack_and_chunk.py:130)
[2024-12-19 01:43:31] INFO     azureml.rag.crack_and_chunk - [DocumentChunksIterator::filter_extensions] Kept extensions: {
  ".pdf": 1
} (crack_and_chunk.py:133)
[2024-12-19 01:43:31] INFO     azureml.rag.azureml.rag.documents.cracking - [DocumentChunksIterator::crack_documents] Total time to load files: 0.30446887016296387
{
  ".txt": 0.0,
  ".md": 0.0,
  ".html": 0.0,
  ".htm": 0.0,
  ".py": 0.0,
  ".pdf": 1.0,
  ".ppt": 0.0,
  ".pptx": 0.0,
  ".doc": 0.0,
  ".docx": 0.0,
  ".xls": 0.0,
  ".xlsx": 0.0,
  ".csv": 0.0,
  ".json": 0.0
} (cracking.py:381)
[2024-12-19 01:43:31] INFO     azureml.rag.azureml.rag.documents.cracking - [DocumentChunksIterator::crack_documents] Total time to load files: 0.30446887016296387
{
  ".txt": 0.0,
  ".md": 0.0,
  ".html": 0.0,
  ".htm": 0.0,
  ".py": 0.0,
  ".pdf": 1.0,
  ".ppt": 0.0,
  ".pptx": 0.0,
  ".doc": 0.0,
  ".docx": 0.0,
  ".xls": 0.0,
  ".xlsx": 0.0,
  ".csv": 0.0,
  ".json": 0.0
} (cracking.py:381)
[2024-12-19 01:43:31] INFO     azureml.rag.azureml.rag.documents.chunking - [DocumentChunksIterator::split_documents] Total time to split 1 documents into 0 chunks: 0.9676399230957031 (chunking.py:247)
[2024-12-19 01:43:31] INFO     azureml.rag.azureml.rag.documents.chunking - [DocumentChunksIterator::split_documents] Total time to split 1 documents into 0 chunks: 0.9676399230957031 (chunking.py:247)
[2024-12-19 01:43:31] INFO     azureml.rag.crack_and_chunk - Processed 0 files (crack_and_chunk.py:208)
[2024-12-19 01:43:31] INFO     azureml.rag.crack_and_chunk - No chunked documents found in /mnt/azureml/cr/j/606547e361134e058c4829792b595f69/cap/data-capability/wd/INPUT_input_data with glob **/* (crack_and_chunk.py:215)
[2024-12-19 01:43:31] ERROR    azureml.rag.crack_and_chunk.crack_and_chunk - ServiceError: intepreted error = Rag system error, original error = No chunked documents found in /mnt/azureml/cr/j/606547e361134e058c4829792b595f69/cap/data-capability/wd/INPUT_input_data with glob **/*. (exceptions.py:124)
[2024-12-19 01:43:36] ERROR    azureml.rag.crack_and_chunk.crack_and_chunk - crack_and_chunk failed with exception: Traceback (most recent call last):
  File "/azureml-envs/rag-embeddings/lib/python3.9/site-packages/azureml/rag/tasks/crack_and_chunk.py", line 229, in main_wrapper
    map_exceptions(main, activity_logger, args, logger, activity_logger)
  File "/azureml-envs/rag-embeddings/lib/python3.9/site-packages/azureml/rag/utils/exceptions.py", line 126, in map_exceptions
    raise e
  File "/azureml-envs/rag-embeddings/lib/python3.9/site-packages/azureml/rag/utils/exceptions.py", line 118, in map_exceptions
    return func(*func_args, **kwargs)
  File "/azureml-envs/rag-embeddings/lib/python3.9/site-packages/azureml/rag/tasks/crack_and_chunk.py", line 220, in main
    raise ValueError(f"No chunked documents found in {args.input_data} with glob {args.input_glob}.")
ValueError: No chunked documents found in /mnt/azureml/cr/j/606547e361134e058c4829792b595f69/cap/data-capability/wd/INPUT_input_data with glob **/*.
 (crack_and_chunk.py:231) ...................................

It seems the chunk is not doing nothing. My file is PDF format file with only one page without images to let it more easy.

Someone has a suggestion? thank you in advanced!!

if you are using VScode go to settings then Keyboard Shortcuts and put this in the search "ctrl+s" with quotes to see what the things that shortcut do and you can change it

I am having this same issue. I have renamed the old database and my solution points to the new database (copy of DEV) and I want the local solution to use the new DEV database but even though the connection string is pointing to the DEV database, the data I am seeing if from the old database. This is very weird! Any help would be great. Thanks.

@15113491, this API is not working anymore as it returns the web page instead of JSON. Could you please tell me what is the updated API to fetch profile data now?

I think you can use this query directly to get the desired results:

select *, timestamp 'epoch' + unixdate::INT * INTERVAL '1 second' as test from {{ source("yourmodel","table_name")}}

That log looks like a possible firewalling issue. Can you get on the controller and reach port 4444 on the agent with nc, nmap, or the like? (NB I'm dealing with SSH issues with a Jenkins 2.462.2 controller running on a WS2019 VM and trying to connect a Docker agent running on a Ubuntu 22.04 VM. Node setup is exactly like yours. I can connect but the log keeps showing a rejected key, whether I have RSA, ED25519, or what have you.)

Oh wait...it turns out in TestNG methods the parameters are the arguments. So, testResult.getParameters() works.

Sorry my mistake. I've used JUnit previously and am new to TestNG. I was confused by how JUnit and TestNG have different definitions of parameters and arguments.

Basically, a function like input() that exists in Python is not available in NodeJs, on the other hand, there is no clear and simple method to get data from the input.

But in general, this goal can be achieved in two ways:

1. Using internal modules available in NodeJs.

This method requires a lot of configuration, so for someone new to NodeJs, it may be too complicated and you may not get the result you want.

2. In the second method, it is better to use external modules (packages).

In this way, the complications of this work are minimized and you can reach this goal very easily.

For the second way, there are many packages, one of them is Softio, which has the same methods you mentioned.

To use Softio, just follow the instructions below step by step:

1. First you need to install this package. Just run the following command in your project path:

npm install softio

There is no need to worry, when you have installed Node Js, you have also installed npm and you can run the above command.

2. Then it is enough to write the following code to get the data from user:

const softio = require( 'softio' );

async function main() {
    const name = await softio.input( 'Enter your name: ' );
    const age = await softio.readNumber( 'Enter your age: ' );

    if ( age < 18 ) {
        softio.write( `Sorry, your age is under 18 :(` );
        return;
    }

    softio.input( 'welcome.' );
}
main();

The important thing is that reading data from stdin (the same as getting data from the user) in NodeJs is executed concurrently, so to manage this concurrency you must use the keyword 'await', on the other hand, to use this keyword you must You must be inside a function that is 'async'. This point is related to concurrency management in JavaScript.

There's also this library that parses localized time strings into time.Time. It's similar to monday and has a good performance.

https://pkg.go.dev/github.com/elastic/lunes

After trying all the items listed here, I found that my base class was:

class GenerateNewToken

and it should have been

public class GenerateNewToken

This is very similar to the problem I'm having. Predict.gam is producing mostly negative values, despite my response being strictly positive (wildfire size). However, setting type = "response" didn't solve the issue.

We faced a similar issue a month ago, even while using the Pro plan of SendGrid, which provides a dedicated IP for email delivery. Despite this, Gmail still blocked some of our emails due to reputation issues. To address this, we are currently focusing on improving our delivery practices, such as adhering to email authentication protocols (e.g., SPF, DKIM, DMARC), cleaning our email list, and sending to engaged users only.

I recommend prioritizing increasing your delivery rate and sender reputation, as this will help resolve many deliverability issues. However, it's worth noting that we are still blocked by Gmail in some cases, which emphasizes how important it is to maintain consistent sending habits and build a good reputation over time.

If you have enabled click tracking in SendGrid, consider setting up a custom domain for URL redirection to maintain your brand identity and avoid potential reputation issues. If click tracking isn’t enabled, you can skip this step.

If your email volume is below 100 emails per day, there’s no urgent need to switch to a paid plan or another service provider unless the free plan limitations are affecting your business. Switching to a paid plan or another provider might make sense if you need higher sending limits, a dedicated IP, or better support. However, improving your sender reputation is a critical step that applies regardless of the email service you use.

Please see if this helps. It is giving pretty good results around 30. to poisson let maxv 52 let minv 1 let lamda 30 let z minv + random-poisson (lamda - minv) show z end Let me know how it worked out for you. Thank you.

I used scrapper libs but it did not resolve, however, i got the ip address and added this ip address into C:\Windows\System32\drivers\etc\hosts like 123.12.12.123 www.example.com server.example.com and save it. then use the curl bash translated to python code and got response correctly.

Actually, this is not true any more. Posits (aka Unum III) are (tapered) floating point representations that use 2's complements for floating points. While most implementations (and there are not yet so many) convert this to a signed exponent and unsigned mantissa, some also make use of the two's complement format for faster calculations.

Also the even more recent Takum format (using a base "e" instead of binary for the exponents) uses 2's complement encoding.

For me, the problem was that the Signing identity was set to Distribution it needs to be set to Development when debugging.

here is the full implementation please feel free to ask any doubts https://github.com/ARULKUMAR0106/JWTTokenGeneration

It happens because Convert.ToString(value, 2) does not include leading zeros. For a fixed-width 16-bit binary representation, you may use PadLeft(16, "0"c).

For example:

    Dim StAuto() As Integer = {&H3FFF}
    Dim StAuto_Int(0) As UInt16
    StAuto_Int(0) = Integer.Parse(StAuto(0))
    Dim s As String = Convert.ToString(StAuto_Int(0), 2).PadLeft(16, "0"c)
    TextBox1.Text = StAuto_Int(0)
    TextBox2.Text = $"{s} #of bits: {s.Length}"

I have the same problem in my Google Chrome, so make sure you have this setting on the your browser network, and reload or restart the browser you should be good.

just put single apostrophe before and after the parameter value in the calling function example: onclick="addProgressGoal('abc','def');"

After downloading the ZIP file at MySQL ODBC download And just trying to run install.bat doesn't do what is needed to add the driver. You need to run it as admin. I was able to get the driver option to finally show up in the ODBC Data Source Administrator by opening CMD in admin mode, going to the folder I unzipped the download at, and then running command .\install.bat

Perhaps , you can use curl -i
-i option will show response headers in output
As a result , you can easily extract the ip you want from the output

@swiss_szn worked for me too thanks

Captured variables reside in memory while a test case is being executed. These variables are generally specific to the session and are available only duration of the test run. After the test case completes, the variables are automatically removed from memory.

1. You should activate the constraints array using NSLayoutConstraint.activate().

   func configureContents() { title.translatesAutoresizingMaskIntoConstraints = false

   contentView.addSubview(title)

   NSLayoutConstraint.activate([ title.heightAnchor.constraint(equalToConstant: 30), title.leadingAnchor.constraint(equalTo: contentView.layoutMarginsGuide.leadingAnchor), title.trailingAnchor.constraint(equalTo: contentView.layoutMarginsGuide.trailingAnchor), title.centerYAnchor.constraint(equalTo: contentView.centerYAnchor) ]) }

There's also this library that parses localized time strings into time.Time. It's similar to monday and has a good performance.

https://pkg.go.dev/github.com/elastic/lunes

Also had this issue. I found using the command whereis in place of whichseemed to work just as well for me.

Based on this answer.

It looks like you're trying to integrate role assignment in Discord with user validation via Express. Ensure your bot has the proper intents (e.g., GUILD_MEMBERS) and access guild.members.fetch(userId) correctly. For mobile gamers, consider checking out Nulls Brawl APK for an enhanced gaming experience!

That was probably a bug. The latest version should work now.

HI have you been able to solve the issue?

Unfortunately, that's not possible, and there isn't an option for this particular use case.

Biome follows Prettier formatting style.

Turns out that strip Tkhtml30g.dll was removing all the debug symbols from the shared library (as @cyan-ogilvie kindly pointed out), so I edited the Makefile to change the strip value to true and after that it seems to be working fine.

I had a similar issue, but downgrading nativewind to 2.0.11 fixed it. To downgrade it, use the below command.

npm install [email protected]

Found this as a solution/hack. I was hoping gdb module had a demangler. I'll wait for a better answer.

import subprocess

def demangle(name):
    args = ['c++filt', name]
    pipe = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE)
    stdout, _ = pipe.communicate()
    return stdout[:-1].decode("utf-8")

Just wondering if you were able to find the solution for this. We are also trying to perform a similar operation in Fabric using powershell and we end up in same error.

If you have the solution please post it here. Thanks.

The answer by CommonsWare is mostly correct, but casting to the Icon version of bigLargeIcon requires bumping your minimum API level to 23. Casting to the Bitmap version allows my current minimum API of 21.

(This should have been a reply to CommonWare's answer, but I lack the reputation points to do that.)

Follow these simple steps:

1. Press Windows + R, and type services.msc
2. Check SQL Server Service: Look for the service named SQL Server (SQLEXPRESS)
3. Ensure it is running.
4. In my case it wasn't running, and I just clicked start and was done.

Solved it by installing latest version of react-native-pager-view which was being used by some other package as an internal dependency. In the error message it indicated Failed to transform viewpager2-1.1.0.aar that's why react-native-pager-view helped.

@Brad Interesting, did you find a solution? I have the similar issue.

Yes, it is bit odd looking at the error it is difficult to understand, but the error comes when I trigger a API Gateway endpoint with a typo, it means the endpoint I am hitting is not available.

For anyone reading this in 2024, oci_tarball was removed several months ago and replaced with oci_load.

This means you should use oci_load if you wish to push an image to your local docker service and then create a container with docker run ...

See: https://github.com/bazel-contrib/rules_oci/blob/main/docs/load.md

Thanks Guys for the answer. It has solved the problem, even though I am new to using forEach() method inside forEach.

Good afternoon, how can I fix this to eliminate the warning in the google console? Thanks

Not sure if this is a newer feature since the OP, but I just click on the lower left corner where it has the SSH connection listed. That brings up some options in the Command Palette at the top. I always choose "Remote-SSH: Connect Current Window to Host" so it doesn't open a new VS Code window. I see there is a comment under the OP that zitrax couldn't get that to work, but maybe they have other issues.

Try using the CSS function minmax() .

What about the following solution:

.container {
    /* Your other code */
    grid-template-columns: repeat(4, minmax(0, 1fr));
    column-gap: 2rem;
}

Okey I found that you have to load your certificate and private key in the client side code:

await client.load_client_certificate(cert)
await client.load_private_key(private_key)

now I'm able to connect to my server using my cert and the TrustStore However, I'm not sure I'm using these mechanisms correctly:

I tried to connect with a self-signed client certificate, the server refuses me the connection which seems to be a good point.

But if I disable the truststore on the client and server side and use the client certificate signed by my CA, I'm still able to authenticate myself and connect, is this normal?

From what I understand, the certificateUserManager is only useful for managing self-signed certificates, which is not my use case.

that's a quick fix... I tried it myself and it worked!

Just select your line 2 and change the language to British English.

How to change:

1. Select the language tool that must appear at the bottom left side of the status bar.
2. A dialog box "Language" will appear. Under "Mark selected text as:", choose "English (United Kingdom)".
3. Disable "Detect language automatically"
4. Click "OK"

Recently, Tycho has added a custom goal in its tycho-p2-plugin: https://tycho.eclipseprojects.io/doc/main/tycho-p2-plugin/dependency-tree-mojo.html

That is, tycho-p2-plugin:dependency-tree.

A user event is a script running on the server side. For your use case, you need to use a client script.

Actualmente en 2024/25, para mí tesis, estoy interesado en desarrollar una app para monitoreo de presión arterial, he buscado información, pero no es muy clara, si alguien sabe respecto al tema podría ayudarme, tengo las siguientes dudas

• Qué relojes/wearable ofrece documentación para desarrolladores y se puede usar para obtener la presión arterial en mi app

• En este hilo mencionan un reloj chino, ¿cuál es el modelo?

• Mencionan el hecho de calibrar el reloj, está calibración manual cada cuánto tiempo sería?

Cualquier tipo de información sería de mucha ayuda, gracias de antemano.

Be sure to watch out for the fact that the interceptor object needs to be a singleton instance.

Also interested in this as we currently manage our Oracle and SQL Server schemas in Oracle SQL Developer Data Modeler but now also need to manage Databricks SQL as well. We would like to use the same tool but looks like we'll need to switch to a generic tool.

Unless support for Databricks JDBC drivers has been added since 2022?

not solving the issue. I am facing same issue in ladybug for a flutter project

I got this issue and solved it by putting #!/bin/sh as the first line of the pre-commit file.

Все гениальное просто! Скорее всего у Вас при установке почтового сервера скриптами поднялся фаервол, он и блокирует ваше соединение.

1. Проверьте # nft -a list ruleset
2. Добавьте правило если он настроен # nft add rule inet filter input tcp dport {5432} accept

Use https://jwt.io/ to generate bearer token. Use this: Algorithm: ES256 Header: { "alg": "ES256", "kid": "[your key id]", "typ": "JWT" } Payload: { "iss": "[your issuer id]", "iat": 1734613799, "exp": 1734614999, "aud": "appstoreconnect-v1" } Note that 'exp' should be less than 1200 seconds from 'iat'. Insert your private key as entire text from downloaded p8 file into 'verify signature' field. Copy generated bearer token from the 'encoded' field.

POST https://api.appstoreconnect.apple.com/v1/authorization use your bearer token. It works for me.

CREATE OR REPLACE VIEW v_t 
COPY GRANTS 
AS 
SELECT * FROM t;

After running the above if I create a new column in source table and run select * from v_t it breaks with "query produces Y columns but declared only X"

Did anyone have a fix for this. Cannot hardcode the column names because the underlying table in my case in dynamic. I cannot recreate the view every time the table updates its DDL.

First thing first, I see you create the interval every 2 seconds and it is used to fetch from Api from time to time i believe this is the reason for the lag.

Also I think if you want to update the amount of item in the cart icon you can make the state in the parent or the top of the component instead and pass the count to the component props. So whenever the state updated the component props become updated too.

Comment from raphael answers the question 100%! Django looks at your url patterns in order until it finds one that matches, so path("accounts/login", views.atest, name="login") will not ever be seen because path("accounts/", include("django.contrib.auth.urls")) matches first. Having said that, if all you want to do is create a user registration page, or style the login page, then you don't need this.

Check out developer.mozilla.org/en-US/docs/Learn/Server-side/Django/… (especially developer.mozilla.org/en-US/docs/Learn/Server-side/Django/…) –

I've tried with my logic, I feel I've given all possibilities.

=IF(OR(SUM(--ISBLANK(A2:C2))=1,SUM(COUNTIF(A2:C2,A2:C2))>3),"duplicate","")

I have the same issue, i'm trying to use my own http client implementation in a scrapy project, i tried to yield the scrapy.items in a loop and it keep trying to access the attribute dont_filter which is normally found scrapy.Request

I added the Panda for Python layer and that appears to include pytz. Error went away after adding this the layer.

This method also uses "</convas/>" and allows you to convert images to .png, .webp, and .jpeg. However, I would like to know an alternative method for working with 2D graphics, thanks.

<input id="myInput" type="file"></input>
<button onclick="myCanvas()">Convetr to png</button>
<a id="save">Download</a>

<br>
<img id="sorseImg" src="">
<br>
<canvas id="myCanvas"></canvas>

<script>

var canvas = document.getElementById("myCanvas");
var img = document.getElementById("sorseImg");
var ctx = canvas.getContext("2d");
var dat = "";

////////////////////////Uploader files//////////////////////////
document.getElementById("myInput").onchange = function exp(evt){
   var reader = new FileReader();
   reader.onload = function(evt){
   dat = evt.target.result;
   img.src = dat; //!Warning creates offline content in base64!
  };
  reader.readAsDataURL(event.target.files[0]);
};
/////////////////////////////////////////////////////////////////

//////////////////////////////Canvas/////////////////////////////
function myCanvas() {

  canvas.height = img.height;
  canvas.width = img.width;
  ctx.drawImage(img,0,0);

  mySave();  
}
/////////////////////////////////////////////////////////////////

//////////////////////////////Save///////////////////////////////
function mySave() {

  var link = document.getElementById("save");
  link.download = "MintyPaper.png";

  //toDataURL("image/jpeg", 1.0) quality max=1 min=0; or ("image/webp");

  link.href = canvas.toDataURL("image/png"); 
}
/////////////////////////////////////////////////////////////////

</script>

Finally figured it out ... didn't realize that I needed to first add a resource file in the resources view window.

Thanks all!

How to get rid off the word "Characteristic" at the beggining of the table created from gtsummary package?

The problem is related to the case sensitivity of PHP class names and how they are treated in different contexts by GraphQL and REST API when working with DTOs in API Platform.

In your example, the class RequestDto is referred with different casing:

In GraphQL operations, it is referred to as RequestDTO. However, the real class is named requestDto (lowercase "Dto").

One solution with apply() which runs a given function on each row:

df = df.replace("Unk", np.nan)
df["A1"] = df.apply(lambda row: round(row["A"] / dic["A_" + str(row.name)[:4]], 3) , axis=1)
df["B1"] = df.apply(lambda row: round(row["B"] / dic["B_" + str(row.name)[:4]], 3) , axis=1)
display(df)

PS: row is a series and row.name is actually the index of the dataframe so the date.

are you using stripe?

i'm having the same issue, if i remove that library evertything works fine.

I don't think this is supposed to happen. Unfortunately, the only thing that works for me is to remove the remote repo and add it again. That way, it clears the cached branches.

I believe you could use something as simple as

UPDATE YourTable SET price = price * 1.22 

or

UPDATE YourTable SET price = price * YourField

if you have a field with the price value

Thomas didn’t answer the third question.

Yes, there’s a default PATH on RHEL defined in systemd. Other envvars can also be set through sshd.

See further https://www.reddit.com/r/linuxquestions/comments/pgv7hm/comment/hbfs2ws/

Thanks everone for helping me answer my question, indeed both time.perf_counter_ns() and timeit work as intended.

I meet the same problem, do you figure it out?

Other possibility which depends of your setup, and how you use Java, is when you installed the spring-boot-starter-validation, for example, but not stopped and started again the process running the continuous build or the bootRun (in Gradle)

code example here :

last updated code

int _selectedIndex = 0;
@override
Widget build(BuildContext context) {
 return Scaffold(
  body: Stack(
    children: [
      Offstage(
        offstage: _selectedIndex != 0,
        child: TickerMode(
          enabled: _selectedIndex == 0,
          child: MaterialApp(
              debugShowCheckedModeBanner: false, home: 
  NavigationBarTest()),
        ),
      ),
       Offstage(
        offstage: _selectedIndex != 1,
        child: TickerMode(
          enabled: _selectedIndex == 1,
          child: MaterialApp(
              debugShowCheckedModeBanner: false,
              home: NavigationBarTest2()),
        ),
      ),
      Offstage(
        offstage: _selectedIndex != 2,
        child: TickerMode(
          enabled: _selectedIndex == 2,
          child: MaterialApp(
              debugShowCheckedModeBanner: false,
              home: NavigationBarTest3()),
        ),
      ),
    ],
    ),

bottomNavigation_bar code ex:

    bottomNavigationBar: NavigationBar(
     destinations: const [
      NavigationDestination(icon: Icon(Icons.home), label: 'home'),
      NavigationDestination(icon: Icon(Icons.settings), label: 'setting'),
      NavigationDestination(icon: Icon(Icons.person), label: 'profile')
    ],
    selectedIndex: _selectedIndex,
    onDestinationSelected: (int index) => setState(() {
      _selectedIndex = index;
    }),
    animationDuration: const Duration(seconds: 1),
  ),

NavigationBarTest

  class NavigationBarTest extends StatelessWidget {
    Widget build(BuildContext context) {
      return Container(
       color: Colors.amber,
    );
   }
 }

  class NavigationBarTest2 extends StatelessWidget {
    Widget build(BuildContext context) {
     return Container(
       color: Colors.red,
      );
    }
 }

  class NavigationBarTest3 extends StatelessWidget {
    Widget build(BuildContext context) {
     return Container(
      color: Colors.teal,
      );
     }
   }

does anyone have newer information about this? As far as we can see, the intelligent albums are still noch reachable, are they?

You can use plugin called Metaslider, It allows you to choose different sets of pictures for desktop, tablet and mobile.