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// With the below parameters and the supplied corpus searches seem to converge on the following
// J , H G Q B C O U '
// S A N T V F D E I R
// X . L M K P W / Y Z
//
// Percent per key:
// 0.1 1.8 6.0 1.9 0.1 1.5 2.3 7.4 2.8 1.0
// 6.0 7.7 6.6 8.6 0.9 2.1 4.3 11.9 6.6 5.5
// 0.1 1.2 4.0 2.6 0.8 1.6 2.3 0.2 2.0 0.1
//
// Finger usage: 6.29%, 10.70%, 16.56%, 14.88%, 14.05%, 19.47%, 11.45%, 6.60%
// Hand usage: 48.43% vs 51.57%
// Same finger bigrams: 0.000%, 0.029%, 0.092%, 0.032%, 0.042%, 0.096%, 0.113%, 0.031%
// Total sfb: 0.43% (43414)
// Search parameters
pub const CORPUS_FILE_NAME: &str = "corpus.txt";
pub const STARTING_LAYOUT_STRING: &str = "
Q W E R T Y U I O P
A S D F G H J K L '
Z X C V B N M , . /
";
pub const NUM_CONTESTANTS: usize = 128;
pub const NUM_PERSIST: usize = 8;
pub const DESIRED_INDEX_USAGE_PERCENT: f32 = 0.15;
pub const fn index_usage_fitness(index_threshold: u32, index_count: u32) -> u32 {
(index_threshold as i64 - index_count as i64).abs() as u32 / 64
}
// Do not change, code makes assumptions about these
pub const NUM_KEYS: usize = 30;
pub const ROW_LENGTH: usize = 10;
pub const KEY_CHARS: [char; NUM_KEYS] = [
'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '/', '.', ',', '\'',
];
pub const KEY_TO_FINGER: [usize; NUM_KEYS] = [
0, 1, 2, 3, 3, 4, 4, 5, 6, 7, 0, 1, 2, 3, 3, 4, 4, 5, 6, 7, 0, 1, 2, 3, 3, 4, 4, 5, 6, 7,
];
pub fn canonicalise(inp: char) -> Option<char> {
if inp.is_ascii_alphabetic() {
return Some(inp.to_ascii_uppercase());
} else {
match inp {
'.' => Some('.'),
'>' => Some('.'),
',' => Some(','),
'<' => Some(','),
'/' => Some('/'),
'?' => Some('/'),
'\'' => Some('\''),
'"' => Some('\''),
_ => None,
}
}
}
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