channels | The Mac App for YouTube Channels | Frontend Framework library

The subject says it all. Specifically, say I created Channels this way.

When you are working with secret keys, if your code branches unequally it could reveal bits of the secret keys via side channels. So for some algorithms it should branch uniformly independently of the secret key.

On C/C++/Rust, you can use assembly to be sure that no compiler optimizations will mess with the branching. However, on Java, the situation is difficult. First of all, it does JIT for desktop, and AOT on Android, so there are 2 possibilities for the code to be optimized in an unpredictable way, as JIT and AOT are always changing and can be different for each device. So, how are side channel attacks that take advantage of branching prevented on Java?

I handle a channelDelete event in my discord bot. My original intent was to do the following:

1. Listen for when a channel is deleted
2. Check to see if its type equals 'GUILD_CATEGORY'
3. Delete all the channels under that category

I can typically access channels under a CategoryChannel through its property called children anywhere else except during this event...

Does it make sense to use Conda + Poetry for a Machine Learning project? Allow me to share my (novice) understanding and please correct or enlighten me:

As far as I understand, Conda and Poetry have different purposes but are largely redundant:

• Conda is primarily a environment manager (in fact not necessarily Python), but it can also manage packages and dependencies.
• Poetry is primarily a Python package manager (say, an upgrade of pip), but it can also create and manage Python environments (say, an upgrade of Pyenv).

My idea is to use both and compartmentalize their roles: let Conda be the environment manager and Poetry the package manager. My reasoning is that (it sounds like) Conda is best for managing environments and can be used for compiling and installing non-python packages, especially CUDA drivers (for GPU capability), while Poetry is more powerful than Conda as a Python package manager.

I've managed to make this work fairly easily by using Poetry within a Conda environment. The trick is to not use Poetry to manage the Python environment: I'm not using commands like poetry shell or poetry run, only poetry init, poetry install etc (after activating the Conda environment).

For full disclosure, my environment.yml file (for Conda) looks like this:

SOLVED - The categories/channels were set to private which is why they couldn't be changed even with the correct permissions. My solution was to tell the user which ones and to add the role with the permissions manually. I added a message that said they can just give the bot administrator permissions and it will do it for them. Hopefully, this helps anyone who runs into this in the future.

I'm trying to change the permissions of multiple categories and channels using the following code:

I am trying to install conda on EMR and below is my bootstrap script, it looks like conda is getting installed but it is not getting added to environment variable. When I manually update the $PATH variable on EMR master node, it can identify conda. I want to use conda on Zeppelin.

I also tried adding condig into configuration like below while launching my EMR instance however I still get the below mentioned error.

I'm trying to create a sound using Fourier coefficients.

First of all please let me show how I got Fourier coefficients.

(1) I took a snapshot of a waveform from a microphone sound.

• Getting microphone: getUserMedia()
• Getting microphone sound: MediaStreamAudioSourceNode
• Getting waveform data: AnalyserNode.getByteTimeDomainData()

The data looks like the below: (I stringified Uint8Array, which is the return value of getByteTimeDomainData(), and added length property in order to change this object to Array later)

I am trying to set up a conda environment with python 3.10 installed. For some reason, no install commands for additional packages are working. For example, if I run conda install pandas, I get the error:

I have a Python 3 application running on CentOS Linux 7.7 executing SSH commands against remote hosts. It works properly but today I encountered an odd error executing a command against a "new" remote server (server based on RHEL 6.10):

encountered RSA key, expected OPENSSH key

Executing the same command from the system shell (using the same private key of course) works perfectly fine.

On the remote server I discovered in /var/log/secure that when SSH connection and commands are issued from the source server with Python (using Paramiko) sshd complains about unsupported public key algorithm:

userauth_pubkey: unsupported public key algorithm: rsa-sha2-512

Note that target servers with higher RHEL/CentOS like 7.x don't encounter the issue.

It seems like Paramiko picks/offers the wrong algorithm when negotiating with the remote server when on the contrary SSH shell performs the negotiation properly in the context of this "old" target server. How to get the Python program to work as expected?

Python code