Reconstruct | ProGuard Deobfuscator | Bytecode library
kandi X-RAY | Reconstruct Summary
kandi X-RAY | Reconstruct Summary
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Top functions reviewed by kandi - BETA
- Main entry point
- Register a transformer class
- Links a jar file
- Transforms the input jar files
- Process method mapping
- Construct a class descriptor from a string
- Gets or creates a class
- Appends the class descriptor
- Parses the mappings
- Create a method descriptor for a method
- Updates the descriptor
- Parse the jar manifest
- Extracts an entry from a jar file
- Execute the zip file
- Overrides the visitor to map to map
- Replace the current class with the new one
- Compares two methods
- Compares this field to another field
- Compares this instance with the specified name and parameters
- Compares this RClass with the specified name
- Compares this object for equality
- Runs the log
- Transformer method
- Visit a local variable
- Visits a method
- Create new field mapping
Reconstruct Key Features
Reconstruct Examples and Code Snippets
Lines of Code : 8License : Permissive (Apache-2.0)
Copy// Usage
java -jar -jar -mapping -output -exclude
// Example - Client
java -jar reconstruct-cli.jar -jar client.jar -mapping client.txt -output client-deobf.jar
// Example - Server
java -jar reconstruct-cli.jar -jar server.jar -mapping server. def reconstruct_from_config(config, custom_objects=None, created_layers=None):
"""Reconstructs graph from config object.
Args:
config: Dictionary returned from Network.get_config()
custom_objects: Optional dictionary mapping names (strin def inverse_stft(stfts,
frame_length,
frame_step,
fft_length=None,
window_fn=window_ops.hann_window,
name=None):
"""Computes the inverse [Short-time Fourier Transf def inverse_mdct(mdcts,
window_fn=window_ops.vorbis_window,
norm=None,
name=None):
"""Computes the inverse modified DCT of `mdcts`.
To reconstruct an original waveform, the same window function Community Discussions
Trending Discussions on Reconstruct
QUESTION
I'm trying to create a USDZ object with the tutorial from Apple Creating 3D Objects from Photographs. I'm using the new PhotogrammetrySession within this sample project: Photogrammetry Command-Line App.
That's the code:
...ANSWER
Answered 2021-Jun-15 at 11:53tl;dr: Try another set of images, probably there is something wrong with your set of images.
I've had it work successfully except in one instance, and I received the same error that you are getting. I think for some reason it didn't like the set of photos I took for that particular object. You could try taking just a few photos of another simple object and try again and see if that is the problem with your first run.
QUESTION
I am using boost (version 1.70.0) property tree. Is there a way to convert a node to XML string including the node itself, not just node's children?
If I have this XML:
...ANSWER
Answered 2021-Jun-14 at 20:24You can create a helper property tree to hold nothing but the extracted one. This involves some additional copying, but should otherwise work just fine:
QUESTION
I've read around for several days but haven't been to find a solution... I'm able to build Librosa spectrograms and extract amplitude/frequency data using the following:
...ANSWER
Answered 2021-Jun-11 at 11:34When I get your question right, you want to reconstruct the real/imaginary spectrum from your magnitude values. You will need the phase component for that, then its all simple complex number arithmetic. You should be aware that the output of an STFT is an array of complex numbers, and the amplitude is the absulute value of each number, while the phase is the angle of each number
Here´s an example of a time-domain signal transformed to magnitude/phase and back without modifying it:
QUESTION
Langid.py is a popular language detection library.
Inside the library's langid.py file, there's a peculiar way that encodes the binary inside the Python code
ANSWER
Answered 2021-Jun-10 at 19:21You can sort of reverse engineer the serialization process by simply looking at how they decode it.
It is apparent that the operations b64decode -> decompress -> loads are happening. Furthermore, the object that is pickle loaded clearly seems to be a list of lists, numpy arrays, or a mix of other python objects.
From this, if we arrange the operations in opposite, then maybe dumps -> compress and b64encode may have been used?
QUESTION
I'm hunting for a potential logic bomb in some C# code, which is obfuscated.
Using JetBrains DotPeek, Visual Studio and some search&replace I was able to mostly reconstruct an executable program that can undergo some dynamic analysis.
Problem: the only part that does not compile is the following statement, or whatever it is
...ANSWER
Answered 2021-Jun-10 at 17:00-is just negation~is bitwise NOT. Since C# requires two's complement integer representation, then~x == -x - 1for all X.--is the autodecrement operator, but it's only valid on lvalues, which numeric literals are not. I think this is a bug in the decompiler that forget to separate the minus signs.
So, a slightly de-obfuscated version of your last block of code is:
QUESTION
Following my previous question , I have written this code to train an autoencoder and then extract the features. (There might be some changes in the variable names)
...ANSWER
Answered 2021-Mar-09 at 06:42I see that Your model is moved to device which is decided by this line device = torch.device("cuda" if torch.cuda.is_available() else "cpu") This can be is either cpu or cuda.
So adding this line batch_features = batch_features.to(device) will actually move your input data to device.
Since your model is moved to device , You should also move your input to the device.
Below code has that change
QUESTION
I keep getting this message when a called peer is attempting to add ICECandidate received from calling peer.
Failed to construct 'RTCIceCandidate': cannot convert to dictionary
This is my custom event object wrapping the ICECandidate. This event object is received via signaling channel.
This is my code, attempting to add the reconstructured ICE Candidate to local RTCConnection which throws the error right below it.
...ANSWER
Answered 2021-Jun-07 at 15:24Turns out, this is my problem.
To quote from the SO answer "This problem is almost totally undocumented...you can't add ICE candidates without setting remote description..."
Call to addIceCandidate() should not happen before call to setRemoteDescription()
My solution is to cache all incoming ICE candidates from peer and only add them after RTCPeerConnection.signalingState turns to have-remote-offer which should occur after remote description have been set.
QUESTION
I've been trying to fix this for weeks but failed, when I click on login (indicated with the id "lin") to open a new activity the app crash, i don't know if it's a problem with the Intent or something else, here is the code. The manifest should be ok so I think it's a problem in the MainActivity with Intent ab. The other activity is called Qrcode. I tried to change appcompatactivty to activity but didn't work, i don't really know what to do.
Edit: I posted the code of the qrcode activity, i got it from the answers of this question : Android, How to read QR code in my application?, only for educational purpose of course.
Edit 2: logcat posted, sorry for any issues with asking this question, it's the first question i ask here.
Logcat
...ANSWER
Answered 2021-Jun-03 at 17:42ur code in MainActivity seems ok and I think don't have any problem. In my opinion your Qrcode Activity has some bugs in it, like onCreate method, you should see the Logcat logs in android Studio, btw u can attach the Qrcode activity codes here, it is really helpful. another way to find the bug is by using the try-catch in your code and log the exception
QUESTION
- I'm have studied about
Autoencoderand tried to implement a simple one. - I have built a model with one hidden layer.
- I Run it with
mnistdigits dataset and plot the digits before theAutoencoderand after it. - I saw some examples which used hidden layer of size 32 or 64, I tried it and it didn't gave the same (or something close to) the source images.
- I tried to change the hidden layer to size of 784 (same as the input size, just to test the model) but got same results.
What am I missing ? Why the examples on the web shows good results and when I test it, I'm getting different results ?
...ANSWER
Answered 2021-May-31 at 06:56QUESTION
I have a JSON file that contains several images and annotations. Each image has an id, and each annotation references a caption and the image_id of the image. There are thousands of images and multiple annotations refer to the same image. Here's a sample for only one image and its annotations (link to full data):
ANSWER
Answered 2021-May-29 at 07:08After reading in the data, reorganizing into an dictionary indexed by ID will make it easy to access the correct image when iterating the annotations. Below does this, but also adds each caption to a list of captions added to each image:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Reconstruct
You can use Reconstruct like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Reconstruct component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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