Thanks for this solution, it works very good. Unfortunately, i have a small issue here. In my matrix in the column A in some cases i have the same value (for eg. "ROWHEADER1") but with different information in the value range B1:F5. Do you have a solution also for this scenario?
If we are able to connect to ODI 12c to Snowflake, now we want to pull data from Oracle database, sql server db, flat files, msaccess and need to push this data to Snowflake tables, does any specific Odi knowledge available for Snowflake
What volume of data can push from source to Snowflake target table
Is there any performance issue while pushing data to Snowflake
Any limitations Of ODI 12 c with Snowflake, assuming JDBC driver connectivity
If I read the documentation, it seems to imply that it only updates the timestamp, not the time zone. However, I tried to do it in 2 steps and still didn't work so I'm just adding this for completion.
I tried a first step where the time stamp shifts (as done in previous answers) and then a second step where I kept source and destination time zone the same. Thinking the formatting would take the timezone of the source. But no, the formatting still gives +00:00
in a second test in the second step I gave a utc timezone as the input date and it converted the timestamp to RST but then again the format in the output is +00:00
So the base time, if specified as a diff timezone from the source time zone, already gets converted and then you have a second time conversion to the destination time zone. But none of this changes the time zone, which is kept as UTC
Reasons:
Blacklisted phrase (1): enter image description here
It is very hard to interpret loss in huge variety of situations. GANs is one of these cases. You hardly can just look at G and D losses and say, yeah, this model is great.
But you need to estimate model. So, I have very simple solution. Just generate a batch of images and plot them every N epochs. Also save model weights. If the quality of images is good, then stop training and use model weights from last checkpoint.
Another thing can use Early Stopping Callback idea. If not improve for N epochs - stop.
Also, during experience of many researchers some common bounds for dcgan were estimated: G_loss 2 and D_loss 0.1.
By the way, training process for GANs is very unstable. There are some technics to stabilize model training.
So, I highly recommend visual estimation approach :)
Further to @mathias-r-jessen comment (which looks to be the problem), you can ensure that the database query isn't the issue by replacing your database query. Try changing:
string query = "Select * from number where number > 100";
To
string query = "SELECT 110 AS number UNION SELECT 130 AS number";
This will return exactly two rows - so if you see two rows with this your issue will be the db query. As already suggested this is something that a debugger would really help to understand though.
I know it's been three years since Spring Boot 3.0.0 was released, but I'm only just now dealing with the upgrade from 2.7. I was able to use OpenRewrite to upgrade from 2.7.18 to the latest 3.3.x version and it completely automated away the javax -> jakarta migration among many other tedious tasks.
I am having this exact same issue. It appears the Caffeine buildAsync is outputting and incompatible class. This breaks all async processing for springboot3 currently
I had the problem and turned out it was simply because Android Studio was using it at the time. So, that one step, as has been mentioned in one of the answers above (as one of the many steps), was all that solved it.
Shutdown Android Studio or any other IDE using ADB
This probably should be the first thing to check; if this helps anyone, like it did for me.
While some of the information here is helpful, I'd like to address the root of the asker's specific question.
It fails with
TypeError: _dayjs.default.extend is not a function
Unfortunately similar questions on here didn't help me. How could I
mock both default dayjs but also extend?
The default export of dayjs is a function with properties attached. Your mock needs to follow the same pattern. The following pseudo-code is written to be library agnostic:
The answer came from a member of the Clojurian Slack community: To pass an array to an annotation, just pass the value as a vector. I.e., look in the example from this doc for annotation SupportedOptions:
Check if data annotations is ok. Then try to increase parameters of your ViT in config (num layers for ex.), maybe some experiments with path size will help.
Also it is very important to use pertained model. You should load some pretrained weights if you didn't.
This is an old question but I see this pop up a lot all over the Internet. For anyone looking for a clean and relatively safe solution, I posted a solution I created on my GitHub Gist (link below). Feel free to use it however you see fit. Also, if anyone would prefer to see the actual solution here, let me know and I'll modify this answer to include the code.
The crux is - DAGs are code, and code needs versioning to scale. In production, you would create a git repo containing your DAGs, just like one does for code. Meanwhile the git-sync sidecar automatically pulls and syncs your DAGs to airflow.
Another possible way to leverage the power of git is to store the repos in a volume that is used as a shared volume in airflow. This is discouraged because shared volumes bring inefficiencies, i.e., git-sync is expected to scale better.
Firstly, historical bars from Interactive brokers will not match the total reported volume in their TraderWorkstation exactly. There are some technical and market reasons for this. But the numbers should be fairly close.
Based on my experimentation, the volume field of daily bars on US stocks does need to be multiplied by 100.
To get the number closer to the reported volume, be sure you are including the volume outside of regular trading hours.
Hi,
I had the same problem and just solved.
On repository folder has... "db/revs/0" with the revision files. For some reason, some files are with ".rev" extension. Just renamed then removing this extension and worked normally.
Best Regards
So you're saying you're first acquiring a token, then attempting to upload a file to Esri's sample server? If so, then that might be why it's working in Postman but not via a basic jQuery AJAX request. I'm assuming in Postman you've got a configuration referencing the token acquired, but I don't see anything in your code that does a similar reference. Fill me in if I'm wrong on that.
With respect to finding the service URL of a service, if you're looking at that service or Feature Layer in ArcGIS online (aka AGOL), often you'll find a "URL" box in the lower right with options to copy or view that URL, which gets you to the REST endpoint of your specific service. I'm including a screen grab here.
Rachel, changing height to auto (height=auto), to replace height= "43%" worked a charm for me. Mobile phone squishing of the jpg portion of my web site home page is now gone. Thanks for posting!
The problem wasn't necessarily with the configuration of the Angular app or the SWA settings. But it was simply that we are using Enterprise-grade edge for the SWA, and somehow its cache was not cleared during the deployment of an Angular app update even though it should happen.
Clearing Enterprise-grade edge cache from the Azure portal resolved the issue: https://portal.azure.com -> Open relevant Static Web App -> Enterprise-grade edge -> Purge
testcase supports the nested testing style idioms as rspec, including shared spec support, rspec-like context dependent variables, timecop-like time manipulation, random fixture generation with integration with the big list of naughty strings injection fixtures, and so on.
The mathjs library leaves the value in its original units when you toString(). To simply convert or automatically, you need to make use the to function or method like this
Was it pulled from a repository ? How did you get it since it's platform agnostic don't you think there's an issue with your project need more information about the project.
Just a quick note — if you’re working with historical stock prices, it’s super important to adjust for splits and dividends. Otherwise the data can be misleading, especially over longer periods.
This schema doesn’t include that, so anyone using it might want to handle those adjustments separately.
Or, if you want to skip that step, historicaldata.net provides US stock data (daily + 1-min), already adjusted for splits and dividends. Could save some hassle.
While Firebase Storage security rules canread from Cloud Firestore, they cannot read from the Realtime Database. So what you're trying to do is not a supported feature.
You can try docuWeaver—it’s built for use cases like this. It lets you auto-generate documents from custom objects like Property using merge tags, and with a simple Flow, you can automate the whole process. The generated docs show up under the Related tab and can be viewed or downloaded anytime. No code, quick setup, and works great with templates you design and can export this documents either in Docx or PDF format.
Found the answer to the "Unable to parse expression" error. Apparently, for reasons unknown to me, the dataflow must not have spaces in the name. I switched my data flow to all snake case and it ran perfectly.
Freezed no longer generates .map/.when extensions and their derivatives for freezed classes used for pattern matching. Instead, use Dart's built-in pattern matching syntax.
The issue was slightly different in my case. Mouse wasn't working at all. Tried these solutions and few others, nothing worked until i finally came across this blog https://github.com/alacritty/alacritty/issues/2931
In short, trying TERM=xterm-256color vi -u NORC <file> worked for me. So i exported this variable in my ~/.zshrc file
This issue happens because non-JVM platforms like wasmJs cannot use type reflection to instantiate ViewModels via the viewModel() function without an explicit initializer.
✅ Fix
Instead of relying on reflection, explicitly create your ViewModel and pass it into your Composable function manually.
✅ Working fix:
fun main {
ComposeViewport(viewportContainerId = "composeApplication") {
val viewModel: MainViewModel = MainViewModel() // ✅ Create instance manually
App(viewModel) // ✅ Pass it in
}
}
\>"On non-JVM platforms, objects cannot be instantiated using type reflection. So in common > code you cannot call the viewModel() function without parameters."
You can actually publish function apps without storage account using ARM template, but its not recommended and i think my function app is eating memory because of this (storage of files in RAM?)
If you're encountering the error "Cannot read Server Sent Events with TextDecoder on a POST request," it's likely because Server-Sent Events (SSE) only work with HTTP GET requests, not POST. SSE is designed to create a one-way channel from the server to the client, and it requires the use of GET for the connection to remain open and stream data.
To fix this issue:
Use a GET request instead of POST when setting up your EventSource.
If you need to send data to the server before opening the stream, do it through a separate POST request, then initiate the SSE with GET.
Bonus tip for Fintechzoom developers: If you're building real-time financial dashboards or alerts on platforms like Fintechzoom, SSE is great for streaming stock updates or crypto prices efficiently. Just ensure your API uses GET for these data streams.
If you are using Vaadin 24.7, make sure that in your application the annotated service is available in Spring: browser callables are components, but Spring does not load components from other packages if not instructed to do so.
I find that for push notifications on Sunmi devices without Google Services, consider using a third-party service like Pushy (https://pushy.me/). It offers a Flutter SDK and supports Android beyond just FCM, potentially working on Sunmi devices. Thorough testing on your specific Sunmi models is crucial to ensure reliability.
Please consider using our CheerpJ Applet Runner extension for Chrome (free for non-commercial use). It is based on CheerpJ, a technology that allows to run unmodified Java applets and applications in the browser in HTML5/JavaScript/WebAssembly.
Full disclosure, I am CTO of Leaning Technologies and lead developer of CheerpJ
You can use the background task in the FastApi and return an job_id for the long processing task with 202 status code, for more information you can read this link.
Also you can write another endpoint in terms of returning job status and also its result. Also it depends on the your code design and also your architecture.
You're comparing the sale_month, which is a number (from EXTRACT(MONTH FROM sale_date)) to a string ('April'). That will not work - which is likely why you're getting no rows.
Replace 'April' with the numerical value for April, which is 4. i.e.
note: You can access all Global Temporary Tables(prefixed with ##), but only your own session's Local Temporary Tables(prefixed with #). Remember, stored procedures use separate sessions.
It depends if you have experience with OOP or MVC frameworks or not. If not, I recommend you to start with OOP fundamentals and have a good resource tutorial, you can check laracasts they are the recommended training partner. Also there are good youtube tutorials on lot of channels which you are explore. Once you gain the basic understanding you can migrate your project.
You can use a blend, create a table for filtered for each type of waste ( upto 4) and use an outer join to connect them. you have not provided enough information for me to provide an example.
We experience the same issue off and on. Usually renaming the store procedure that the report is running fixes the issue. However, it's really annoying and would like to know what the cause is.
You're reading data too fast, and the serial input is not guaranteed to end cleanly with \n before your code tries to process it, and that’s why you are getting incomplete or "corrupted" lines.
1. Use a dedicated thread for serial reading
Tkinter is single-threaded. If you read from a serial in the same thread as the GUI, the GUI slows down (and vice versa), especially when you move the window.
Run the serial reading in a separate thread, and put the valid data into a queue.Queue() which the GUI can safely read from.
import threading
import queue
data_queue = queue.Queue()
def serial_read_thread():
read_Line = ReadLine(ser)
while True:
try:
line = read_Line.readline().decode('utf-8').strip()
parts = [x for x in line.split(",") if x]
if len(parts) >= 21:
data_queue.put(parts)
else:
print("⚠️ Invalid line, skipped:", parts)
except Exception as e:
print(f"Read error: {e}")
Start this thread once at the beginning:
t = threading.Thread(target=serial_read_thread, daemon=True)
t.start()
2. In your Tkinter loop, check the queue
Use after() in Tkinter to periodically fetch from the queue and update the UI:
def update_gui_from_serial():
try:
while not data_queue.empty():
data = data_queue.get_nowait()
print(data)
except queue.Empty:
pass
root.after(50, update_gui_from_serial)
Please let me know if this works and if you need any further help! :)
Reasons:
RegEx Blacklisted phrase (2.5): Please let me know
There is a design pattern published for this. I haven't implemented it myself yet so I can't speak on the nuance but as advertised it does scim provisioning of users via Okta. Same concept could conceptually be applied to other tech stacks.
