As pointed in the comments, This is something that the test runner does.
The long answer ivolves working through with NUnit and creating custom plugins for it. The simple answer is use another [Retry] package such as the Databindings.Reqnroll.NUnit.Retry
Finally, after several days and countless tests, I discovered that the issue was related to the project itself. As stated in the Laravel factories documentation, the line 'customer_id' => Customer::factory() should never create a customer if the intent is to select an already existing one. Despite changing the logic to 'customer_id' => fake()->randomElement(Customer::all('id')) as @williamrb suggested, the same issue persisted. However, instead of occurring on record 11, it now happened randomly on 6, 12, 4, etc. Somehow, and I eventually gave up trying to figure out why, the framework did not behave as expected.
Perhaps it was due to having created and deleted multiple migrations, seeders, factories, and models incorrectly within the same project, causing it to break. After all, none of us fully understand what Laravel does behind the scenes with migrations, factories, seeders, etc. In the end, I managed to make it work by modifying the migration for the vehicles table's foreign key from:
This resolved the issue. However, days later, I noticed that using the relationships still did not work as expected. As a result, I decided to create a completely new project from scratch, using exactly the same code I posted in my question, and it worked. The issue was indeed with the project itself.
I hope someone can explain why this might have happened so I can identify these types of problems more quickly in the future.
If you need to add the command in Visual Studio similar to Visual Studio Code, where pressing CTRL + D selects the next matching word, here’s the name of the command you need to configure:
from fastkml.utils import find_all
from fastkml import KML
from fastkml import Placemark
k = KML.parse("docs/Document-clean.kml")
placemarks = find_all(k, of_type=Placemark)
for p in placemarks:
print(p.geometry)
Fix Android Emulator Process has terminated - Android Studio
The emulator may require certains DLLs are not present, this can be fixed by ensuring that you have the Latest Microsoft Visual C++ Redistributable Version :
Your best bet is to create an image or backup in linode-cli if you are comfortable with cli. make sure you have pip3 installed and then run pip3 install linode-cli --upgrade
To create image to be exported to google cloud, run
When prompted for PAT follow this guide. This image would move all your files and environment off linode. Good practice to shutdown server when creating backup so there won't be interference with some apps running in background.
If I understand you correctly, you would like to expose the external endpoint through an ingress, so no proxy would be needed when using the ingress endpoint, right?
Wouldn't it be easiest to use the proxy directly in the internal client?
E.g. if it would be cURL, by setting http_proxy and https_proxy environment variables like here or in case of java, by setting java command line options -Dhttp.proxyHost=<proxy-ip/hostname> -Dhttp.proxyPort=<proxy-port>?
Or don't you have any control of the internal client?
If I understood your question correctly, I don't think you would use k8s tooling to achieve that.
ExternalName-type Kubernetes services are basically just a CNAME record and this DNS record would then be known inside the cluster. You cannot do any HTTP-based alterations like proxying with CNAME records. You would need to setup another pod/deployment doing the proxying for you, basically setting up another proxy to use the proxy - which would be overkill imho.
I created new SSH key using the command,
ssh-keygen -t rsa -b 4096 -C "[email protected]"
then;
ls -l /home/user-dir/.ssh/
here you will see two pub keys. One is an 'id_rsa.pub' file. it is not the key. and another is there with 'id_edxxxx.pub' this is the github sshkey. cat it and copy to your github environment for use.
So for anyone stumbling onto this question in the future I managed to solve it, thanks to a ton of more research.
What I had to do is a hard reset of the network config for the host machine:
pkill docker
iptables -t nat -F
ifconfig docker0 down
brctl delbr docker0
ip link del docker0
That's it, after that I ran docker-compose and everything worked.
The answer from Anton Tykhyy works splendidly; though in the meantime I have found another way to solve this problem, by casting to a c_void type as shown below:
let cid: CLIENT_ID = CLIENT_ID {
UniqueProcess: HANDLE(pid as *mut core::ffi::c_void),
UniqueThread: HANDLE(0 as *mut core::ffi::c_void)
};
Thanks @Ahmed Agha.
For a good while I could not successfully utilise phpMyAdmin as it frequently gave me the error message "mysqli::real_connect(): (HY000/2002): No connection could be made because the target machine actively refused it". I checked the Configure Server Management link when setting up a new instance and observed error in testing access to mySqld on my.ini file, however still had no clue what the cause was. I was reluctant to do a reinstall at this stage.
Above solution re deleting comments above 'server-id' in my.ini file solved the issue with the Configuration server management. But I am still trying to sort out the phpMyAdmin issue.
from fastkml.utils import find_all
from fastkml import KML
from fastkml import Placemark
k = KML.parse("docs/Document-clean.kml")
placemarks = find_all(k, of_type=Placemark)
for p in placemarks:
print(p.geometry)
print(p.name)
Dear Sir, I appreciate the information you sent, I think the information about being able to use python to run it in Processmaker is very good.
Ask him about which version of Processmaker opensource he is using.
In my case, I have managed to install the Processmaker 4.10 version but I have been able to confirm certain limitations: in which the tables cannot be used, the project option and the datasource connectors which when trying to enter the options it indicates the error that this option does not exist.
I could also see this problem in the old versions and the Docker 4.1 version
Installation source: https://github.com/ProcessMaker/processmakerhttps://github.com/ProcessMaker/processmaker/releases
Unfortunately I have not been able to find information about my case, if possible you can help us.
Regards
I got the answer. My problem was that it was reading the header line as data. Once I added the line IGNOREHEADER 1, it worked. Somewhat misleading error.
After resetting and trying again I found that actually path/to/file.yml~abcdefghi (BRANCHNAME branch-commit-msg) was the name of a file, including the spaces and parentheses. I thought it was some kind of annotation added by git to help identify the file but it's not. In the first attempt I also somehow managed to delete the file without noticing its odd name, and therefore I didn't see it in the ls -l output.
So the tldr is don't get confused by strange file names...
NAT gate way is only to provide internet access to the private instance through private subnet unlike public subnet has Internet gateway. if you want to access anything through private you must have a NAT gateway in private subnet. NAT gateway deployed in public only to provide NAT gate way to access internet.
The second one builds upon the first one. They have the advantage that they do not need an initial guess of the transformation between the two point clouds (in contrast to e.g. ICP).
You don't need to store the whole 2D array of dp values. Your algorithm only needs the current and previous rows. The computational complexity isn't changed by using only 2 rows, but the space complexity is so in practice, less memory requirement will probably give a performance boost.
from dataclasses import dataclass
@dataclass
class InventoryItem:
"""Class for keeping track of an item in inventory."""
name: str
unit_price: float
quantity_on_hand: int = 0
def total_cost(self) -> float:
return self.unit_price * self.quantity_on_hand
Yes, you can compose a Modifier in Jetpack Compose to achieve the desired behavior. To wrap content height but limit it to a maximum of 80% of the available height, you can use the Modifier.heightIn() function with dynamic values provided by LocalDensity and BoxWithConstraints.
To add a page break using docx-template, you can insert a page break in the document using a specific XML tag <w:br w:type="page"/>. This tag is used to insert page breaks in Word documents. When working with templates, ensure that the tag is placed in the appropriate location within the document. To automate the addition of the page break in your code, ensure you handle it programmatically as part of the document creation process.
# create a line geometry using shapely
line = shapely.geometry.LineString([p1, p2])
# combine shapes into a geometrycollection
gc = shapely.geometry.collection.GeometryCollection([line, p1, p2])
from fastkml import KML
from fastkml import Placemark
pm = Placemark(geometry=gc)
k = KML(features=[pm])
It turned out to be a network issue. The hostname the bootstrap server was resolving to kafka-target-cluster/10.23.52.37:32185 was also present in my source k8s cluster. So it was not actually connecting to the target cluster.
That's correct: The static keyword in lambdas has NO effect on the IL or the JIT compiled code. It's purpose is to ensure/enfore you don't accidentally create a closure.
I still use it because it tells me quickly which Linq expressions are creating closures and which don't, because I am performance obsessed.
If your new internal package has a start script in its package.json file, it will appear in the terminal when you run pnpm dev. To prevent this, simply remove the start script, and it will no longer be displayed.
problem resolved:
The suggestion to remove trailing newlines in my row construction is a good one so i have Updated my loop to avoid extra whitespace.
# Loop through each subject to build the table rows
for i, subject in enumerate(subjects):
row = (
f"<tr>"
f"<td>{subject}</td>"
f"<td>{counts.iloc[i]}</td>"
f"<td>{means.iloc[i]:.2f}</td>"
f"<td>{stdvs.iloc[i]:.2f}</td>"
f"<td>{variances.iloc[i]:.2f}</td>"
f"<td>{mins.iloc[i]}</td>"
f"<td>{medians.iloc[i]}</td>"
f"<td>{maxs.iloc[i]}</td>"
f"<td>{ranges.iloc[i]}</td>"
f"</tr>"
)
An appservice plan autoscale settings can accommodate more than one app service. This can be configured under single profile and maximum of ten rules per profile and at a time only one profile will be in use.
For Ex:
Appservice Plan - Compute Metric rule - 2(scale up and scale down)
Appservices - No.Of Requests rule - 8 (4 appservice * 2 rules (scale up and down)) can be configured.
We have managed to include Microsoft Intune MAM support in to our flutter app. Currently having million of users, some of our customers wanted to manage the app from intune.
When accompanied with the company portal app on the device, we've shipped a version in the play and apple store with MAM intune policies enforced. We used the Android aar and the IOS framework. No need for MSAL was needed, as we did not know the MSAL clientid at compile time.
Android: Added the aar file and used the gradle script provided by Microsoft to handle all the class renames. Used the MAMComponents for a channel call from flutter to check on policies and user entraid.
IOS: Added the MAM swift frameworks and msal framework. Used AutoEnrollOnLaunch to enroll the known entra id from company portal.
States in React are asynchronous and the value will only update after the function has finished running. Since your function never stops running (as it loops the setTimeout), the asynchronous call never gets a chance to finish and update the state value, thus it remains at 1. For this reason, state is not the best way to do what you are currently trying to do. Define counter using let outside of the scope of TestComponent instead.
duckdb：
duckdb.query("""
select od.time,od.orderPrice,prc.time marketPriceTime
from orders od
asof join prices prc on od.orderPrice=prc.price and od.time>=prc.time
""")
dunno if this is still relevant, apperantly not, but this feature exists ootb in the meantime, any text passages / words can be highlighted and an inline comment can be saved right there, that then will appear as makred yellow and after clicking this, something like a chat bubble on the right side with the comment.
thanks for these instructions, i could manage to find the path for SQL EXPRESS 2022.
here it is:
HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Microsoft SQL Server\MSSQL16.SQLEXPRESS\MSSQLServer\SuperSocketNetLib\Tcp\IPAll
Yes, you can train an OpenAI Custom GPT with thousands of small PDF files. However, there are some considerations and steps involved:
Considerations:
File Size: OpenAI has limitations on the total file size you can upload at once. You might need to split your PDFs into smaller chunks or upload them in batches.
Data Preparation: PDF files need to be converted into text format before training. This can be done using various tools like OCR (Optical Character Recognition) or libraries like PyPDF2.
Model Size: The number of PDFs and their total size will influence the required model size. Larger datasets might necessitate larger models, which can be more computationally expensive to train and run.
Fine-tuning vs. Embedding: You can either fine-tune a pre-trained GPT model on your PDF data or use embeddings to create a vector database for semantic search. Fine-tuning is more powerful but requires more computational resources and expertise. Embeddings are simpler but might be less accurate for complex queries.
Steps:
Data Preparation:
Convert PDFs to text using OCR or libraries.
Clean and preprocess the text data (remove noise, normalize, etc.).
Split the data into training and validation sets.
Model Selection:
Choose a pre-trained GPT model (e.g., GPT-3) suitable for your task.
Consider the model size and computational resources required.
Training:
Use OpenAI's API or a compatible framework (e.g., Hugging Face) to fine-tune the model on your prepared data.
Experiment with different hyperparameters (learning rate, batch size, etc.) to optimize performance.
Deployment:
Deploy the trained model to an API or integrate it into your application.
Use the model to generate text, answer questions, or perform other tasks based on the PDF content.
Additional Tips:
Data Quality: Ensure the quality of the extracted text from the PDFs.
Data Quantity: More data generally leads to better model performance.
Model Architecture: Experiment with different model architectures (e.g., GPT-3, GPT-4) to find the best fit for your task.
Evaluation: Continuously evaluate the model's performance on a validation set and make adjustments as needed.
By following these steps and considering the factors mentioned above, you can effectively train a Custom GPT model on your thousands of small PDF files.
(
df1.sql.select("*,date_trunc('second',event_timestamp::datetime) event_timestamp2")
.select("*,avg(value) over(partition by event_timestamp2 rows between current row and unbounded following) col1")
)
$filter->getRequestVar() is the correct way because if you have category in filter then $filter->getAttributeModel()->getAttributeCode() will throw error "The attribute model is not defined".
The compatibility of the packages react-native-vision-camera, react-native-worklets, and vision-camera-face-detector with each other depends on the versions of these packages that you are using.
To determine which versions are compatible with each other, you should check the documentation and release notes for each package to see if they specify any version requirements or compatibility issues with other packages.
In general, it’s a good practice to use the latest stable versions of packages whenever possible, as these versions are more likely to be compatible with each other and have fewer bugs and security vulnerabilities.
If you encounter any compatibility issues, you may need to update or downgrade one or more of the packages to a different version that is compatible with the others. You can also try searching for solutions online or asking for help on forums or developer communities.
The Mil installation should come with an examples folder.
There should be a link to this in the Mil Control Center app.
The MdigProcess.cpp is a good example.
A list of image buffers is setup to use in a ring or circular way by the capture callback function. Each time a new image is acquired, the callback is invoked and you can query which image in the ring buffer is the latest captured image.
Be aware that there are threading and timing issues here. The callback is in a separate thread and if your frame rate is high, then there is not much time to process between frames. At 50 fps, there is only 20 ms to process a frame.
This Answer is okay for few dates ...but for historic data like two to three months,we need the jobs to run in parallel for several dates while running 5 jobs concurrently so that dataload will be faster
the header can be in a absolutely position scrollView with horizontal scroll and you render the remaining data in another flatlist.
use 2 flatlists, top one horizontal with the header data, second vertical with remaining data, top flatList should be absolutely positioned so it becomes sticky
I have a similar problem while bitbakeing scipy.
The problem is the inherit setuptools3 in the older recipe.
The setuptool wants to work with the setup.py, but newer python packages use a pyproject.toml instead, so there is no setup.py.
The reason ehy the newer recipe works just fine is, that it doesn't use setuptools
I had a similar problem. I wanted to ignore 'backup' folder. I've removed it from the project directory, pushed the changes to Github and then copied the the folder back again again. This time it was ignored. I also suggest using GitHub Desktop it makes life much easier!
The generate_values function lazily produces values (e.g., squares of integers from 1 to 10).
Conversion to std::vector:
Since ::testing::ValuesIn requires an iterable container, the generator_to_vector function iterates through the generator and collects its values in a std::vector.
Google Test Integration:
INSTANTIATE_TEST_SUITE_P uses the vector produced by generator_to_vector to parameterize the test cases.
Test Case Execution:
Each value generated by the generator becomes a parameter for a test case.
The AWS Well-Architected Tool has extensive API integration. You can do all sorts of things with that like create automation around creation of workloads, answer questions automatically, get risk scores for workloads and see things down to how individual questions were answered within the workload. Doing that would also give you the ability to retrieve the recommendations from the tool based on how the question was answered. I've personally built automation like this and found the easiest way to interact was by creating a series of Step Functions with Lambdas (python) to accomplish the tasks I needed while interacting with the APIs but I'm sure you could come up with all kinds of solutions. You can find the AWS API docs for well-architected here:
Main Features of the Illustration
Works perfectly on desktop along with mobile devices including Smartphones: iPhone, iPad, Tablets, etc.
Responsive and fully resizable.
Each organ or spot can be activated or deactivated individually.
SVG (Scalable Vector Graphics) based, so it can be enlarged to any size up to preserving the quality.
I'm still not convinced that it's a necessary approach, but here's a really simple option how to achieve this:
from pydantic import BaseModel
class MyModel(BaseModel):
x: int
def __init__(self, x: int | str):
super().__init__(x=len(x) if isinstance(x, str) else x)
MyModel(x='test')
Yes, your understanding is correct. In Azure App Service, autoscale settings are configured at the App Service Plan level, and you can define multiple autoscale profiles within a single autoscale setting. @Dilly B
