NileshArnaiya

Thought process

At first I thought I could do computer vision for Detection of foreground pixels from background pixels but that would have been too much for processing since I was struggling for higher dimensions. Even with the code I have below would work slow, I tested on 10000x10000 but couldn't on 100000x100000 since that was huge for my simple processing power. Then I thought of applying what I learnt in a Rust course about parallelism and chunking, first I tried multiprocessing library but it didn't work well so switched to Chunking which worked better

Code

import numpy as np

NileshArnaiya

How to run

/target/release wink --missing input.bed

/target/release wink --aaf input.bed

/target/release wink --trans10 input.bed output.tbed

/target/release wink --trans01 input.tbed output.check

NileshArnaiya

Privacy Policy

Buildawn Labs built the [Slapstick TV] app as a Free app. This SERVICE is provided by Nilesh Jain at no cost and is intended for use as is.

This page is used to inform visitors regarding my policies with the collection, use, and disclosure of Personal Information if anyone decided to use my Service.

If you choose to use my Service, then you agree to the collection and use of information in relation to this policy. I will not use or share your information with anyone except as described in this Privacy Policy.

Buildawn Labs does not have any data related to you/ neither does it store any information.

NileshArnaiya

Privacy Policy

Buildawn Labs built the [Turing AI] app as a Free app. This SERVICE is provided by Nilesh Jain at no cost and is intended for use as is.

This page is used to inform visitors regarding my policies with the collection, use, and disclosure of Personal Information if anyone decided to use my Service.

If you choose to use my Service, then you agree to the collection and use of information in relation to this policy. I will not use or share your information with anyone except as described in this Privacy Policy.

Buildawn Labs does not have any data related to you/ neither does it store any information.

NileshArnaiya

Default Cell

Adds and runs a default cell at the top of each new notebook. To change the default cell, edit the add_cell function in the main.js file. The relevant section is Jupyter.notebook.insert_cell_above('code', 0).set_text(``) Set the text to whatever you would like. This extension also adds a button to the toolbar allowing you to insert and run the default cell above your current cell. This can be helpful if you open an already started notebook and notice you are missing some common imports. This extension is a work in progress and any help would be appreciated. Feel free to make contributions on GitHub or contact the author (Will Koehrsen) at wjk68@case.edu