semvec/pypi-packages huggingface dataset:
corpfuscator 0.1.0
Simple and fast corpus obfuscation based on character permutation (not sufficient for adversarial servers, but just enough for our purpose and faster than Homomorphic Encryption/ML)

# corpustools and corpfuscator
This approach allows to train character level embeddings on an obfuscated corpus, ie. corpus where the character substitutions are "secret". This may not be robust on an adversarial server, but helps keep training data reasonably private. Also, it makes reverse engineering of the trained embedding model slightly more complex. The overhead to obfuscate input data for the embedding model is minimal. 

## install
pip install git+https://github.com/namsor/corpfuscator

## corpustools usage
corpustools 'C:/Sync/namsor Dropbox/NamSorV3/2_Prototyping/CAIRNN_Flair/full_corpus/corpus_full_untagged_shuf.txt' --gen_key --max_lines 10000000 --key_file 'C:/Sync/namsor Dropbox/NamSorV3/2_Prototyping/CAIRNN_Flair/full_corpus/corpus_full_untagged_shuf_key.json' --key_name namsorv3_proto0 --flair_file 'C:/Sync/namsor Dropbox/NamSorV3/2_Prototyping/CAIRNN_Flair/full_corpus/corpus_full_untagged_shuf_key_flair'

corpustools 'C:/Sync/namsor Dropbox/NamSorV3/2_Prototyping/CAIRNN_Flair/full_corpus/corpus_full_untagged_shuf.txt' --obfuscate --key_file 'C:/Sync/namsor Dropbox/NamSorV3/2_Prototyping/CAIRNN_Flair/full_corpus/corpus_full_untagged_shuf_key.json' --output_file 'C:/Sync/namsor Dropbox/NamSorV3/2_Prototyping/CAIRNN_Flair/full_corpus/corpus_full_untagged_shuf_obf.txt'

corpustools 'C:/Sync/namsor Dropbox/NamSorV3/2_Prototyping/CAIRNN_Flair/full_corpus/corpus_full_untagged_shuf_obf.txt' --deobfuscate --key_file 'C:/Sync/namsor Dropbox/NamSorV3/2_Prototyping/CAIRNN_Flair/full_corpus/corpus_full_untagged_shuf_key.json' --output_file 'C:/Sync/namsor Dropbox/NamSorV3/2_Prototyping/CAIRNN_Flair/full_corpus/corpus_full_untagged_shuf_deobf.txt'
DipsScripting 9.2.0
Client library for interacting with Dips through python
Requires Python: >=3.7
Keywords: Rocscience, Dips, Scripting, RocScript, Geotechnical

## Introduction 
This project is a library that can be used to interact with Dips 9 through python.  

## Getting Started

**First Tutorial**  
https://www.rocscience.com/help/dips/v9/tutorials/tutorials-overview/10-scripting
**Reference Manual**  
https://rocscience.github.io/dips-scripting/