mecomp-core 0.3.0

Core library for the mecomp project, includes the core schemas, shared utils, and other such things.
Documentation 
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# Example Settings File

# General Daemon Settings
[daemon]
## The port to listen on for RPC requests. (default: 6600, the default port for MPD)
rpc_port = 6600
## The root paths of the music library.
library_paths = ["~/Music"]
## Separators for artist names in song metadata.
## For example, "Foo, Bar, Baz" would be split into ["Foo", "Bar", "Baz"]. if the separator is ", ".
## If the separator is not found, the entire string is considered as a single artist.
## If unset, will not split artists.
##
## Users can provide one or many separators, and must provide them as either a single string or an array of strings.
##
## ```toml
## [daemon]
## artist_separator = " & "
## # or
## artist_separator = [" & ", "; "]
## ```
artist_separator = ["; ", ", ", " & ", " feat. ", " ft. "]
## Separators for genres in song metadata.
## For example, "Foo, Bar, Baz" would be split into ["Foo", "Bar", "Baz"]. if the separator is ", ".
## If the separator is not found, the entire string is considered as a single genre.
## If unset, will not split genres.
genre_separator = ", "
## how conflicting metadata should be resolved
## "overwrite" - overwrite the metadata with new metadata
## "skip" - skip the file (keep old metadata)
conflict_resolution = "overwrite"
## What level of logging to use.
## Possible values are "trace", "debug", "info", "warn", "error".
## Default is "info".
log_level = "info"

# Parameters for the reclustering algorithm.
[reclustering]
## The number of reference datasets to use for the gap statistic.
## (which is used to determine the optimal number of clusters)
## 50 will give a decent estimate but for the best results use more,
## 500 will give a very good estimate but be very slow.
## We default to 50.
gap_statistic_reference_datasets = 50
## The maximum number of clusters to create.
## This is the upper bound on the number of clusters that can be created.
## Increase if you're getting a "could not find optimal k" error.
## Default is 24.
max_clusters = 24
## The clustering algorithm to use.
## Either "kmeans" or "gmm".
algorithm = "gmm"

# Settings for the TUI
[tui]
## How many songs should be queried for when starting a radio.
## Default is 20.
radio_count = 20