semvec/pypi-packages huggingface dataset:
lxrbckl 3.6.0
CRUD tools for local and remote files, enhancing readability and abstraction in lxRbckl projects.
Requires Python: <4.0,>=3.8

# lxrbckl
> CRUD tools to enhance readability and abstraction in projects, for both local and remote file management. Spring 2024.

---

[**`Python`**](https://github.com/lxRbckl/lxRbckl/blob/main/Python/README.md)
[`os`](https://github.com/lxRbckl/lxRbckl/blob/main/Python/os/README.md)
[`openai api`](https://github.com/lxRbckl/lxRbckl/blob/main/Python/openai-api/README.md)
[`pygithub`](https://github.com/lxRbckl/lxRbckl/blob/main/Python/pygithub/README.md)
[`requests`](https://github.com/lxRbckl/lxRbckl/blob/main/Python/requests/README.md)
[`pyautogui`](https://github.com/lxRbckl/lxRbckl/blob/main/Python/pyautogui/README.md)
[`pypi`](https://github.com/lxRbckl/lxRbckl/blob/main/Python/pypi/README.md)
[`pytest`](https://github.com/lxRbckl/lxRbckl/blob/main/Python/pytest/README.md)

#
Ingress2QSIRecon 0.2.3
Tool to ingress data from other pipelines for use in QSIRecon
Requires Python: <4.0,>=3.10

# Ingress2QSIRecon
A tool for ingressing outputs from other processing pipelines (e.g., HCP, UKB) for use in QSIRecon.

## Overview
This tool can be used to import data from bespoke and widely-used DWI preprocessing pipelines (e.g., Human Connectome Project and UK Biobank) into QSIRecon for post-processing.

## Installation
This project can be installed via PyPi. In your virtual environment run
```
pip install Ingress2QSIRecon
```
For the master/development branch, you can clone the github repo, and run from within it:
```
pip install -e .
```

## Usage
Assuming you have the data to ingress locally availble, you can run the following:
```
ingress2qsirecon \
    /PATH/TO/INPUT/DATA \ # E.g., path to HCP1200 directory
    /PATH/TO/OUTPUT \ # BIDS directory with ingressed data will be made here
    PIPELINE_NAME \ # Currently support "hcpya" and "ukb" \
    -w /PATH/TO/WORKING/DIR \ # Where intermediate files and workflow information will be stored
    --participant-label 100307 # Name(s) of folder within /PATH/TO/INPUT/DATA. If not specified, will process everyone
```
everythingisevangelion 0.1.0
Pathfinder from any Wikipedia article to Neon Genesis Evangelion
Requires Python: >=3.6

Everythingisevangelion
----------------------
A tool to find a path from a starting Wikipedia article to the "Neon Genesis Evangelion" article (or any article containing "Evangelion"). The path returned is the first one found, so results may vary.
----------------------
How to use?
----------------------
import eva
my_eva = eva.eva()
my_eva.search(*start article name*)
----------------------
Attributes:
● my_eva.start: The starting article for the search.
● my_eva.end: The end article (either "Neon Genesis Evangelion" or another article containing the word "Evangelion").
● my_eva.EndIsExact: True if the end article is exactly "Neon Genesis Evangelion".
● my_eva.checked: The number of links checked during the search process.
● my_eva.depth: The number of "clicks" (steps) it takes to reach the end article.
● my_eva.path: A list representing the path from the start article to the end article.