Library for interfacing with data from the GLED project
Project description
Arca Verborum
Arca Verborum is a project to interface with the data from the GLED package.
The main available function is currently the one for performing weighted sampling of languages based on their phylogenetic distance. See code for more documentation, as below.
>>> import arcaverborum
>>> matrix = arcaverborum.read_default_matrix()
>>> arcaverborum.language_sample(matrix, 5)
('GalibiCarib_gali1262', 'DonnoSoDogon_donn1239', 'NorthernAmami-Oshima_nort2935', 'KolPapuaNewGuinea_kolp1236', 'Kiliwa_kili1268')
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file arcaverborum-0.1.4.tar.gz.
File metadata
- Download URL: arcaverborum-0.1.4.tar.gz
- Upload date:
- Size: 14.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d81a32e5c25fe82c5f06a46ea8f752572fdd9ded33ead6d21d468f8ee2c877ba
|
|
| MD5 |
c0109e333913b48dc0b0d43770df3700
|
|
| BLAKE2b-256 |
7f34e22a62b88e551e570577eb59ee03fce9a0b1a4a5114a4433d498500d230e
|
File details
Details for the file arcaverborum-0.1.4-py3-none-any.whl.
File metadata
- Download URL: arcaverborum-0.1.4-py3-none-any.whl
- Upload date:
- Size: 14.8 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6aa507e8ef33c9b94f2c90cd3301a466498b88f85c35fa2b01308ff72a5058f0
|
|
| MD5 |
aa11f8a390f6c1e3ea3776ea9ba2ea01
|
|
| BLAKE2b-256 |
e5f702d8b6018f5d69d65e30214214690399da67fbe532ce02c6a37097aba737
|
