regarding connect, I get a 'wxSocketEventHandler undefined', despite that I have included wx/socket.h (in which it is defined and enabled) in the source file.
and ok for using a more up to date wxWidgets, I can see that the latest stable is 3.2.6.
But I don't understand why the connect was compiling in another project using the same code.
Hey I am stuck with the same problem here with getting flink to read from kafka with avro and schema registry. I am able to see logs on schema-registry with flink trying to read from the server but I am also getting the same error:
Server Response Message:
org.apache.flink.runtime.rest.handler.RestHandlerException: Could not execute application.
at org.apache.flink.runtime.webmonitor.handlers.JarRunHandler.lambda$handleRequest$1(JarRunHandler.java:114)
at java.base/java.util.concurrent.CompletableFuture.uniHandle(Unknown Source)
at java.base/java.util.concurrent.CompletableFuture$UniHandle.tryFire(Unknown Source)
at java.base/java.util.concurrent.CompletableFuture.postComplete(Unknown Source)
at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.run(Unknown Source)
at java.base/java.lang.Thread.run(Unknown Source)
Caused by: java.util.concurrent.CompletionException: java.lang.NoSuchMethodError: 'org.apache.flink.formats.avro.AvroDeserializationSchema org.apache.flink.formats.avro.AvroDeserializationSchema.forGeneric(org.apache.avro.Schema)'
at java.base/java.util.concurrent.CompletableFuture.encodeThrowable(Unknown Source)
at java.base/java.util.concurrent.CompletableFuture.completeThrowable(Unknown Source)
... 2 more
Caused by: java.lang.NoSuchMethodError: 'org.apache.flink.formats.avro.AvroDeserializationSchema org.apache.flink.formats.avro.AvroDeserializationSchema.forGeneric(org.apache.avro.Schema)'
at com.example.DataStreamJob.main(DataStreamJob.java:50)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.base/java.lang.reflect.Method.invoke(Unknown Source)
at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:356)
at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:223)
at org.apache.flink.client.ClientUtils.executeProgram(ClientUtils.java:113)
at org.apache.flink.client.deployment.application.DetachedApplicationRunner.tryExecuteJobs(DetachedApplicationRunner.java:84)
at org.apache.flink.client.deployment.application.DetachedApplicationRunner.run(DetachedApplicationRunner.java:70)
at org.apache.flink.runtime.webmonitor.handlers.JarRunHandler.lambda$handleRequest$0(JarRunHandler.java:108)
... 2 more
what can I do here's my pom.xml(I am using flink 1.20.0 version):
Getting same issue with the gender dimension with viewerPercentage metric. Also gender is not working with views metric. There's no proper documentation provided by the YouTube Doc. So if anybody can help it would be greatful.
The signif() function in R is designed for this purpose, but you want more control over rounding behavior, especially when dealing with ties (e.g., numbers ending in 5). Here's how you can modify your function:
MPV_Round_1 <- function(x) {
# Handle rounding to 3 significant figures
posneg <- sign(x) # Preserve the sign of the number
abs_x <- abs(x) # Get absolute value
# Calculate significant figures based on magnitude
rounded <- ifelse(abs_x > 0, signif(abs_x, digits = 3), 0)
rounded * posneg # Restore original sign
}
# Sample data
dat_merge <- data.frame(MPV = c(0.000600, 0.0055, 12.3456, 123.456, 999.999, -0.00456))
How do I add this change back to my original data set called
dat_merge?
# Apply the rounding function
dat_merge$MPV_Round <- MPV_Round_1(dat_merge$MPV) # use the function on the column of dat_merge
# View results
print(dat_merge)
So the CSS and the toggleScroll function to hide the scroll work, it seems to be a problem with Vue.
I don't know what your setup is and I'm not very familiar with Vue, but, refactoring the code like below works as expected, so can you check if your function is ruining, do you get any warnings/errors in your console ? Are you using their CLI ?
The model definition looks right. Surely, you have also tried other models that are smaller due to the occurrence of overfitting. You model overfitts the data. This shows the first image (Lower Loss for train and always higher loss for valid/test). Your training and validation data may not be well distributed or contain inconsistent labels, which confuses the model and leads to high variability in the training metrics. Your trainingsratio is 91% and your eval ratio is 9%. The difference is relatively large for such a small amount of data. Overall, the number of data is quite small. It correct that you are using data augmentaion, to create more data. "I suspect that the difference in quality and size between the training data and the evaluation data is too large.
You can dynamically parse PHP code with tokenizer or library like nikic/php-parser to extract method names and their leading lines from a test data class.
Map methods to expected errors. Specify which methods in your test data should generate errors and which should not, using their names rather than line numbers.
Might be of use to anyone else who's had this tts runandwait hanging issue, mine was the fact I had another instance of pyttsx3 running on my machine, it does not play nice if two are running at the same time.
Based on the information provided, it is difficult to draw any definitive conclusions. Several factors could potentially contribute to this issue.
One possible reason is overfitting to the training data. The model may be too specialized to the training set, which can lead to poor generalization. The regularization (l2 term) appears to be relatively high for such a "simple model".
Another potential cause could be that the training data is unrepresentative.
Distribution shift of the data between Train and Test
Ultimately, it is challenging to determine the exact cause due to the limited amount of information shared.
I am experiencing the same issue while trying to fetch gender percentage data from the YouTube API. I am working on a Next.js project and getting incorrect data compared to YouTube Studio.
If the images reload every time a new page shows they are most likely too big for the memory you allow your app. If you increase the memory imageCache like this, they will most likely not refresh anymore: PaintingBinding.instance.imageCache.maximumSizeBytes = 200 << 20;
I suggest using the relevant API rather than trying to get the values from the downloadable file. Is there any reason you cannot do that in your scenario?
In the reference, the attributes are nested. Like in xaxis > title > font > color, family, size, ...
So if I were to change the size of the xaxis's title, I would get the attribute like this, xaxis_title_font_size = 12.
This is really the whole gist. You can read more details here, https://plotly.com/python/reference/index/
This method is rather antiquated ( I have learned) And can be easily achieved just using a actual user-management interface in Flask, to authenticate the user. And then using WebAssembly to offload the actual running of the on the task to users machine. I have still not perfected my overall goal with this, but I have learned, at least, the above question is not the way.
You are using PowerShell in your VS Code terminal, likely version 5.1. PowerShell 5.1's default execution policy does not allow you to execute script files, like the npm entry point script npm.ps1.
Try changing the execution policy to a more permissive one:
As suspected in Finn Bear's comment, the writeNext method was actually blocking for minutes and then writing hundreds of thousands of messages in a second.
Extracting the message sending into a separate Goroutine and atomically incrementing the messagesSinceLastReport variable solved the issue for me.
I hope you are good I am trying to fix that problem for nearly two months and finally I found a random video on youtube just I had to write "sqlite3.dll" when running file and add sqlite3.dll to cpp file directory and it works like a magic I even do not know what changes but it works that is for future visitors facing the same problem
1-) add sqlite3.dll file to cpp file directory
2-) when running g++ command to run file add "sqlite3.dll" at the end of command
I had a similar issue. For me, it was simply that I had a valid JSON string but not a JSON object. Simply using the json.loads(data) function in my Python code did the trick for me. There should be a similar library for whatever language you’re using.
I recently encountered the same issue and found an effective solution. You can resolve it by setting the React Native packager hostname to your local IP address. Simply run the following command in your VSCode PowerShell terminal:
The trouble here is a use-after-free, but a sneaky one. PostMessageW doesn't wait for the message to return, so it goes right through to the next instructions, eventually freeing the memory from the heap and returning 0. By the time handlePaint gets to the command vector, it's already gone, so dereferencing the pointer results in a segfault. Waiting for the message to be processed before continuing fixes the issue. Changing PostMessageW to SendMessageW fixes this.
Don't know what the gameState board is supposed to look like exactly, but I see you're calling split on key instead of pieceData.
Regardless, it may be easier to debug scripts in a browser like FireFox using a separate js file to breakpoint and see where it's getting null versus console log.
You can't just hard code the signature as it will be different each time. You have to call the getPresigned directly before uploading on the server and pass the url to the client. It will also expire.
Templates are a compile-time feature in C++, and the compiler only generates code for a template when it encounters a specific instantiation of that template.
When the compiler processes the SimpleVector code, it sees the definitions of template member functions such as sortData, size, and capacity as templates.
However, the compiler does not generate any actual code for these template functions at this stage because there are no concrete types () specified. Templates are only blueprints until instantiated.
Since there are no explicit instantiations of SimpleVector in SimpleVector code ( no SimpleVector or SimpleVector), the compiler effectively skips generating code for these functions.
The compiler generates the actual code for a template function or class only when it knows the type T.
Private Class Calculations
Public Function calc(ByVal ParamArray args() As Integer) As Integer
Return args(0) * 2
End Function
End Class
Dim args(1) As Integer
args(0) = 2
Dim result = Microsoft.VisualBasic.CallByName(calculator, "calc", Microsoft.VisualBasic.CallType.Get, 7)
'result = 14
I found a way to resolve the issue: basically reinstall pytorch and update protobuf to a newer version:
Original version: protobuf 5.28.2 and pytorch 2.5.1
Just running the sudo rm -rfv /Library/Caches/com.apple.iconservices.store command was enough for me (plus running sudo killall Dock; killall Finder). It makes sense to remove a cache. On the other side, I see very dangerous to remove anything from inside the /private/ folder, which is a sensible folder for the stability of the operating system.
Not an answer, but the same problem occurs in the i-jetty project where a Java servlet is loaded dynamically, only when Android below 10 is used.
01-05 17:18:27.405 3941 3993 E Jetty : FAILED search: java.lang.IncompatibleClassChangeError: Structural change of javax.servlet.http.HttpServlet is hazardous (/data/data/org.mortbay.ijetty/cache/jetty-0.0.0.0-8080-msx-_msx-any-/classes.dex at compile time, /data/app/org.mortbay.ijetty-1/oat/arm/base.odex at runtime): Direct method count off: 5 vs 4
Compile time direct methods in the 'msx' servlet (normal .dex)
01-05 17:18:27.405 3941 3993 E Jetty : Direct methods:
01-05 17:18:27.405 3941 3993 E Jetty : <clinit>()V
01-05 17:18:27.405 3941 3993 E Jetty : <init>()V
01-05 17:18:27.405 3941 3993 E Jetty : class$(Ljava/lang/String;)Ljava/lang/Class;
01-05 17:18:27.405 3941 3993 E Jetty : getAllDeclaredMethods(Ljava/lang/Class;)[Ljava/lang/reflect/Method;
01-05 17:18:27.405 3941 3993 E Jetty : maybeSetLastModified(Ljavax/servlet/http/HttpServletResponse;J)V
Runtime direct methods in the i-jetty container (optimized .odex)
01-05 17:18:27.405 3941 3993 E Jetty : Direct methods:
01-05 17:18:27.405 3941 3993 E Jetty : <clinit>()V
01-05 17:18:27.405 3941 3993 E Jetty : <init>()V
01-05 17:18:27.405 3941 3993 E Jetty : getAllDeclaredMethods(Ljava/lang/Class;)[Ljava/lang/reflect/Method;
01-05 17:18:27.405 3941 3993 E Jetty : maybeSetLastModified(Ljavax/servlet/http/HttpServletResponse;J)V
That's a good question, let me first clarify something:
Executors are independent JVM processes that execute tasks in isolation to interfere in each other tasks, when you share data between them, the executors would require inter-process communication (IPC), causing bottlenecks due complexity.
When Spark broadcast data, it guarantees more consistency if one executor broke the data by itself. If it was shared data, this data would be inconsistent for all executors.
Spark is based on fault-tolerance, so if one task fails, Spark will
re-execute again this task on a new executor with available resources,
keeping a broadcast data copy on each executor simplifies this
process of execution again.
Why can't it use off-heap space?
Performance: Accessing off-heap memory could be slower tha keeping in a local copy, due IPC or other problems.
Lack of Built-In Mechanisms: Spark's core design revolves around executors as the primary unit of memory management, sharing data directly between executors on the same node would require significant architectural changes to Spark's memory management system.
Compability issues with differents Cluster Managers: Introducing node-level shared memory would require modifications and support from each of these environments.
The backpropagation in the CNNs are very similar to how it happens in the fully connected layers but with different operations, as we know we begin the backpropagation by calculating the derivative of the loss with respect to the weights (of the filters or of the linear layers), Dloss/Dweights = Dloss/Dz * Dz/Dweights (where the Z is the output generated by the layer), so for we put it more simple lets think of the layer as a function that takes in f(x) and outputs z, breaking that function to parts we get y = x * w (where * denotes the cross-correlation operation, lets avoid the bias for simplicity) and after that y output we get the predictions and then the derivative of the loss (by doing the softmax of the raw predictions and subtracting from the real label ) so in that chain rule expression lets begin by getting Dloss/Dz with is the loss with respect to the output (or activations) it is the gradient that we are propagating backwards and we multiply that by dz/Dweights wich is the derivative of z with respect to the loss, remember from later z = x * w so a change in w is proportional to x (from the chain rule) so dz/Dweights are the input to that conv layer, the last step of the backpropagation of the first layer (for we can actually implement it programatically) is calculate the derivative of the loss with respect to the input, we did later the derivative of the loss with respect to the weights and we get the input z = x * w so a change in the input x is proportional to w so for we get it we multiply Dloss/Dz * Dz/Dx, where Dloss/Dz is the actual derivative of the loss which is given and Dz/Dx is the weights, we do that for we propagate the gradient backwards to the others layers (size we cant update the input). I hope my answer was useful
Not perfect, but this is what I'm using. You can append data source name before the table with a dot between, like localhost.users so Search Everywhere only look for tables in your data source
For example, users table is pushed down before other matches without the prefix
With the prefix, users table is now prioritised, and other matches are even removed out from the search
which modification have u added in your code in order to make it works? if i want to use the 2nd option, how can i add the modification to that code please? thank you in advance
Reasons:
Blacklisted phrase (0.5): thank you
Blacklisted phrase (0.5): how can i
RegEx Blacklisted phrase (3): thank you in advance
RegEx Blacklisted phrase (1): i want
RegEx Blacklisted phrase (1): i add the modification to that code please
I am in the same situation (beginner to CPP, working through this introductory textbook).
I was able to run code as per the above, but failed on a subsequent step which involves string concatenation:
#include "PPP.h"
int main()
{
cout << "Hello\n";
string first;
string second;
cin >> first >> second;
//string name = "";
string name = first + " " + second;
cout << "Hello, " << name << "\n";
}
Whilst I couldn't get rid of the error message "incomplete type "PPP::Checked_string" is not allowed", I was at least able to get this code to build and run by modifying the definition of "Checked String" in PPP_support.h:
For an short outline, consider the PowerPC documentation (red book). https://www.redbooks.ibm.com/abstracts/redp5612.html (page 35). PowerPC has a similar blocked matrix multiply instruction as VNNI and Arm Neon.
I have written such packing function within the matrix multiply code. The packing didn't do any harm to the throughput of the code.
.NET MAUI App is single project application but .NET MAUI Multi-project app have multiple projects for common code , android, windows, IOS, MAC. so it's easy to configure different platform differently. sometimes it reduces complexity of application sometimes it makes your application complex.
I was working on a problem where I needed to handle ASCII values within the alphabetical range. Specifically, if I add or subtract a value from a character, the result should wrap around the alphabet.
For example:
'z' + 2 should give 'b'
'a' - 2 should give 'y'
To achieve this, I used the following logic:
char c;
// Wrap around to the start of the alphabet
if (c > 'z')
c = c - 26;
// Wrap around to the end of the alphabet<hr>
if (c < 'a')
c = c + 26;
This ensures the character stays within the range of 'a' to 'z'.**
Is this approach efficient, or are there other ways to achieve the same result? Any insights or suggestions are welcome!
Pure functions return consistent results for identical inputs.
They do not modify external states or depend on mutable data.
Since the function does not take any inputs, it will always return the exact same ouput, and it does not modify any external states, hence the function is pure.
For anyone who stumbles here, redshift now has snapshot isolation and that’s the default for any new instances. Switching to it should alleviate issues, but I stumbled here cause a simple incremental refresh was locking selecting from the mat view and I’m trying to figure out why, even with snapshot isolation.
I followed your steps and ran into the same issue, and solved it by creating a project using the HIP SDK template
Make sure you've got the AMD HIP Toolchain extension installed for visual studio. Then launch VS>Create a New Project>AMD HIP SDK.
Then setup your paths and includes as you did
Use the ord() function in Python to get the ASCII value of a character.
Shift the ASCII Value:
For shifting to the right, add a specific value.
For shifting to the left, subtract a specific value.
Handle Wraparounds:
If the shifted value goes beyond the range of printable ASCII values, wrap it around within the range (e.g., 32–126 for printable characters).
Convert Back to Characters: Use the chr() function in Python to convert the shifted ASCII value back to a character.
