semvec/pypi-packages huggingface dataset:
bluebild 0.0.2
A flexible spherical imager for interferometric applications
Requires Python: >=3.6

# Bluebild Package

The Bluebild algorithm offers a more robust, efficient way to calculate the sky intensity distribution. Bluebild is a flexible spherical imager for interferometric applications. It uses principle component analysis to calculate the sky intensity matrix in a series of energy levels. This provides astronomers with images of the sky decomposed into different energy levels, allowing for easy denoising through filtering low energy levels and recombination of the eigen-images in statistically optimal ways. With low computational complexity and affinity for parallel execution, Bluebild is an excellent candidate for next-generation radio-astronomy imaging. With additional optimization and parallelization, it may even achieve real-time imaging in the field.
pydprint 0.0.4
An easy-to-use debug print tool for deep learning studies in python.
Requires Python: >=3.6

# python-dprint
An easy-to-use debug print tool for deep learning studies in python.
[DEMO](https://github.com/chaoyivision/python-dprint)
        
# Why we need it? 
The built-in debugger is great, however, for some reason, we may still want to <b>print them out for debugging purpose</b>. For such scenarios, we would like it to have the following feats. (especially when running deep learning projects - where our monitoring/debugging variables are being updated within loops).

1. Context Info. We may like to display the <b>invoking positions</b> for these variables (to help us identify back each of them), including their file name, func name, and line number. 

2. Different Color. We may like it to be <b>clearly distinguishable</b> from tons of normal printings within loops, such as <i>displaying training loss</i>. The default color is YELLOW now, which could be custmozed in future releases soon (full color-code can be found [here](https://www.geeksforgeeks.org/print-colors-python-terminal/)).

4. Pass-Through Print. We may like to monitor things without breaking current code structure, i.e., <b>print-and-return</b>. Note: you can still simply ```dprint()``` them (just like print() in python) - it's compatible to both usecases.
```
#loss = loss1 + loss2
loss = loss1 + dprint(loss2)
```
3. (Optional) Multiple Variables. We may not like to leave too much dprint() statement in our code - they look redundent - instead, we may like to display multiple variable within lines as less as possible (by passing them all as a dict).

# How we use it?
Very easy :)
- Installation
```
pip install pydprint
```
- Import
```
from pydprint import dprint
```
- Demo Usecases: [demo.py](https://github.com/chaoyivision/python-deprint/blob/main/demo.py) (see some examples).