`markovpack`

A Royalnet pack to have fun with Markovify!

Usage

Create a new directory in the working directory of the Royalnet instance.
Place there the .json files generated by the text.to_json() method of markovify's NewLineTexts.

In the config.toml of the Royalnet instance, set the following values:

[Packs."markovpack"]
Markov.models_directory = "markovpack"  # The name of the directory containing the .json files
Markov.default_model = "example"  # The name of the .json file that should be parsed if no arguments are passed to the command 
Markov.min_words = 5  # The minimum number of words a sentence should have to be sent

Start Royalnet with python -m royalnet and have fun!

Metadata

Release files for markovpack 0.3.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for markovpack 0.3.2
File	Size	Uploaded
markovpack-0.3.2.tar.gz	15.3 kB	Jun 23, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for markovpack 0.3.2
File	Interpreter	ABI	Platform	Reset
markovpack-0.3.2-py3-none-any.whl 16.3 kB Jun 23, 2020	Python 3	none	any	Details

Total release size: 31.6 kB

Release files / markovpack-0.3.2.tar.gz

Download URL	markovpack-0.3.2.tar.gz
Size	15.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`952757a13f8efc2f77dfac8a113947c9aaa34d69a274c019b8cde1d2ecbe32e7`
BLAKE2b-256 checksum How to use checksums	`4190c71202fd3e6b180c8de2f3b3f996eb821f39e639732eb42684ab34ac2c88`
Upload date	Jun 23, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.0.0b9 CPython/3.8.0 Windows/10`

Release files / markovpack-0.3.2-py3-none-any.whl

Download URL	markovpack-0.3.2-py3-none-any.whl
Size	16.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`8958ec91523577e4b042338d9bcc161a2d2a926dc0ee16fa2aae3be1a3cdb7ce`
BLAKE2b-256 checksum How to use checksums	`842a912f2077cf768d98072f2dfb3816612ec5707a17467b25b9cb5ea4782bc6`
Upload date	Jun 23, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.0.0b9 CPython/3.8.0 Windows/10`