psd | A Rust API for parsing and working with PSD files | Parser library

I am working with .tif images. I try to read a .tif image in order to access it later on pixel level and read some values. The error that I get when using Pillow is this:

I'm using docker-compose to launch a commandbox lucee container and a mysql contianer.

I'd like to change the web root of the lucee server, to keep all my non-public files hidden (server.json etc, cfmigrations resources folder)

I've followed the docs and updated my server.json https://commandbox.ortusbooks.com/embedded-server/server.json/packaging-your-server

I am trying to calculate a population parameter for multiple species within their respective sample sites. I have a sample of my df structured as:

Dataframe

I have a long standing git repo that ended up with a whole load of irrelevant files in it from another developer that was taking up huge amounts of storage, it was using something silly like 5gb as he had included resource files, there were 5000 PSD files in the repo.

I have remove all those files from the repo and added the folder to gitignore, i also went through and removed a bunch of plugins (wordpress site) and added them using wpackagist instead so they aren't committed to the repo (only the composer.json is).

So after all the clean up, removing cached files from the repo, adding everything to gitignore and then committing everything as a "cleanup" commit, when i come to push up to gitlab it's still adding up to around 5gb and i have no idea why since i've removed all the large files and folders.

Just wondering what i'm missing? It won't even push to the new repo on gitlab as it's just far too big and ends up cutting the connection off.

To make it easy to visualize, below is the following Record lookup table.

I just can't seem to find anywhere online where it tells you which of these are supposed to also contain charset=utf-8.

Should I just assume it's anything similar to text?

Take a look:

Given a df with the following column,

Edit 1

Here file handle I am using is a DLL file from the system32 directory.

I tried following things too:

1. Using LABEL_SECURITY_INFORMATION instead of SACL_SECURITY_INFORMATION
2. I tried using hr = SetSecurityInfo(hFile, SE_KERNEL_OBJECT, LABEL_SECURITY_INFORMATION, NULL, NULL, NULL, pNewSACL); to set SACl instead of SetSecurityDescriptorSacl and SetKernelObjectSecurity

original

I am trying to add Audit ACE to a kernel security object and remove all existing ACE. So I was able to come up with the following code by referring to documentation and other posts on the internet. Finally, I am able to run SetKernelObjectSecurity without error but when I again try to validate if the ACE is added then I see ACE Count to be 0. As of right now, I am stuck at this point. It will be great if someone can help me with how to properly change ACE in Kernel Object SACl.

Thank you.

Here is a brief overview of the code:

• You can see that there are 5 Sections
• SECTION 1: Create handle
• SECTION 2: Get Kernel object security and pOldSacl
• SECTION 3: Create newSACL from oldSACL
• SECTION 4: Add newSACL to kernel object security
• SECTION 5: Validate if SACL is updated
• Aside from this there are 5 // NOTE tags which shows value of ace count at various points

Code is as follows:

The function slope() below generates the random b values and the values generated is used to calculate result in second function. In first run slope() will generate 15 values and calculate result for that 15 values and save in dictionary. I want to run this function for 100 times so for each set of 15 values it save the result like output for each run. I want to save the iteration number also. Here I am trying to save in dictionary So that I can save my result later in pandas dataframe. How can run this function 100 times?? How can I save the result so that later I can convert that result in pandas dataframe easily?

I've been trying to find an efficient way of maximizing the following monster function in four variables but the program is taking ages to run and I'm not even sure if the results are correct. Can anyone help me code it better in Python? Here's the function:

where

a=[p,q,r,s].

Y is the measured data sampled at 30 points.

Here's my code.