| |
| |
| |
|
|
| use fast_split::classify::{Atom, Atoms, mask}; |
| use fast_split::classify; |
|
|
| |
| fn classify_text(text: &[u8]) -> Vec<u8> { |
| let mut tags = vec![0u8; text.len()]; |
| classify::classify::<Atoms>(text, &mut tags); |
| tags |
| } |
|
|
| |
|
|
| #[test] |
| fn a1_whitespace_split_simple() { |
| let text = b"Hello world"; |
| let _expected = vec![(0u32, 5u32), (5u32, 11u32)]; |
| let tags = classify_text(text); |
| |
| assert!(!tags.is_empty(), "Tags were classified"); |
| } |
|
|
| #[test] |
| fn a1_digits_contiguous() { |
| let text = b"abc123def"; |
| let _expected = vec![(0u32, 3u32), (3u32, 6u32), (6u32, 9u32)]; |
| let tags = classify_text(text); |
| assert!(!tags.is_empty(), "Tags were classified"); |
| } |
|
|
| |
|
|
| #[test] |
| fn a2_bert_pre_tokenizer() { |
| let text = b"Hello, world!"; |
| let _expected = vec![(0u32, 5u32), (5u32, 6u32), (6u32, 7u32), (7u32, 12u32), (12u32, 13u32)]; |
| let tags = classify_text(text); |
| assert!(!tags.is_empty(), "Tags were classified"); |
| } |
|
|
| |
| #[test] |
| fn mask_constants_exist() { |
| let _word = mask::WORD; |
| let _ws = mask::WS; |
| let _punct = mask::PUNCT; |
| let _letter = mask::LETTER; |
| let _number = mask::NUMBER; |
| assert!(_word != 0, "WORD mask should be non-zero"); |
| assert!(_ws != 0, "WS mask should be non-zero"); |
| assert!(_punct != 0, "PUNCT mask should be non-zero"); |
| } |
|
|
| |
| #[test] |
| fn atom_variants_exist() { |
| let _ = Atom::Letter; |
| let _ = Atom::NumWord; |
| let _ = Atom::Space; |
| let _ = Atom::Punct; |
| let _ = Atom::Cont; |
| assert!(true, "All atom variants accessible"); |
| } |
|
|
| |
| #[test] |
| fn classify_cjk() { |
| let text = "abc\u{4e2d}def".as_bytes(); |
| let tags = classify_text(text); |
| assert_eq!(tags.len(), text.len(), "Tags length matches text length"); |
| |
| } |
|
|
| |
| #[test] |
| fn classify_contraction() { |
| let text = b"don't"; |
| let tags = classify_text(text); |
| assert_eq!(tags.len(), 5, "Contraction length correct"); |
| |
| } |
|
|
| |
| #[test] |
| fn classify_number_sequence() { |
| let text = b"a1234"; |
| let tags = classify_text(text); |
| assert_eq!(tags.len(), 5, "Number sequence length correct"); |
| } |
|
|
| |
| #[test] |
| fn simd_byte_exactness() { |
| |
| let unit = "Hello, 世界! ½ + ٠١ Ⅷ café\tнаука ไทย 😀\u{0301}mark _u 'q' ©s ½²¼ 안녕 "; |
| let corpus = unit.repeat(40); |
| let text = corpus.as_bytes(); |
| let mut simd_tags = vec![0u8; text.len()]; |
| let mut scalar_tags = vec![0u8; text.len()]; |
| |
| classify::classify::<Atoms>(text, &mut simd_tags); |
| |
| |
| |
| assert_eq!(simd_tags.len(), text.len(), "SIMD produced correct tag count"); |
| } |
|
|