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use crate::preprocessing::vocab::sentence_piece_vocab::{SentencePieceModel};
use regex::Regex;
use crate::{Vocab, Tokenizer, MultiThreadedTokenizer};
use crate::preprocessing::tokenizer::base_tokenizer::{Token, TokenRef, Offset, OffsetSize, Mask};
use crate::tokenization_utils::{clean_text, decompose_nfkc, lowercase, is_whitespace, split_at_regex};
use crate::preprocessing::vocab::marian_vocab::MarianVocab;
pub struct MarianTokenizer {
model: SentencePieceModel,
vocab: MarianVocab,
pattern_language_code: Regex,
lower_case: bool,
}
impl MarianTokenizer {
pub fn from_files(vocab_path: &str, model_path: &str, lower_case: bool) -> MarianTokenizer {
let vocab = MarianVocab::from_file(vocab_path);
let model = SentencePieceModel::from_file(model_path);
let pattern_language_code = Regex::new(r">>.+<<").unwrap();
MarianTokenizer { model, vocab, pattern_language_code, lower_case }
}
pub fn from_existing_vocab_and_model(vocab: MarianVocab, model: SentencePieceModel, lower_case: bool) -> MarianTokenizer {
let pattern_language_code = Regex::new(r">>.+<<").unwrap();
MarianTokenizer { model, vocab, pattern_language_code, lower_case }
}
}
impl Tokenizer<MarianVocab> for MarianTokenizer {
fn vocab(&self) -> &MarianVocab { &self.vocab }
fn tokenize_to_tokens(&self, text: TokenRef) -> Vec<Token> {
let tokens = split_at_regex(text, &self.pattern_language_code);
let (code_token, mut token) = match tokens.len() {
0 => { return vec!(); }
1 => (None, tokens[0].to_owned()),
2 => (Some(tokens[0].to_owned()), tokens[1].to_owned()),
_ => {
let mut token = Token::new("".to_string());
for token_ref in tokens[1..].iter() {
token.text.push_str(token_ref.text);
token.reference_offsets.extend_from_slice(token_ref.reference_offsets);
token.offset.end = token_ref.offset.end;
}
(Some(tokens[0].to_owned()), token)
}
};
clean_text(&mut token, true);
decompose_nfkc(&mut token);
if self.lower_case {
lowercase(&mut token);
}
token.text = token.text.replace(|c: char| is_whitespace(&c), "\u{2581}");
if !token.text.starts_with('\u{2581}') {
token.text.insert(0, '\u{2581}');
token.reference_offsets.insert(0, 0);
};
let output = self.model.decode_forward_token_ref(token.as_ref());
let decoded = self.model.decode_backward(&output);
let mut output: Vec<Token> = Vec::with_capacity(decoded.len() + 1);
if let Some(code) = code_token {
output.push(code);
};
let mut is_prev_unknown = false;
for node in decoded {
if is_prev_unknown & (node.index == 0) {
let prev_token = output.last().unwrap();
let mut text = prev_token.text.clone();
text.push_str(node.text);
let mut reference_offsets = prev_token.reference_offsets.clone();
reference_offsets.extend_from_slice(node.reference_offsets);
let consolidated_unknown = Token {
text,
offset: Offset { begin: 0, end: 0 },
reference_offsets,
mask: Default::default(),
};
output.pop();
output.push(consolidated_unknown);
} else {
output.push(Token {
text: node.text.to_owned(),
offset: Offset { begin: 0, end: 0 },
reference_offsets: node.reference_offsets.to_vec(),
mask: Default::default(),
});
}
is_prev_unknown = node.index == 0;
}
output
}
fn convert_tokens_to_string(&self, tokens: Vec<String>) -> String {
tokens.into_iter().map(|v| v.replace('\u{2581}', " ")).collect::<Vec<String>>().join("")
}
fn build_input_with_special_tokens(&self, tokens_1: Vec<i64>, tokens_2: Option<Vec<i64>>,
offsets_1: Vec<Option<Offset>>, offsets_2: Option<Vec<Option<Offset>>>,
original_offsets_1: Vec<Vec<OffsetSize>>, original_offsets_2: Option<Vec<Vec<OffsetSize>>>,
mask_1: Vec<Mask>, mask_2: Option<Vec<Mask>>) -> (Vec<i64>, Vec<i8>, Vec<i8>, Vec<Option<Offset>>, Vec<Vec<OffsetSize>>, Vec<Mask>) {
let mut output: Vec<i64> = vec!();
let mut token_segment_ids: Vec<i8> = vec!();
let mut special_tokens_mask: Vec<i8> = vec!();
let mut offsets: Vec<Option<Offset>> = vec!();
let mut original_offsets: Vec<Vec<OffsetSize>> = vec!();
let mut mask: Vec<Mask> = vec!();
special_tokens_mask.extend(vec![0; tokens_1.len()]);
token_segment_ids.extend(vec![0; tokens_1.len()]);
output.extend(tokens_1);
offsets.extend(offsets_1);
original_offsets.extend(original_offsets_1);
mask.extend(mask_1);
if let Some(add_tokens) = tokens_2 {
let length = add_tokens.len();
special_tokens_mask.extend(vec![0; length]);
token_segment_ids.extend(vec![1; length + 1]);
output.extend(add_tokens);
if let Some(add_offsets) = offsets_2 {
offsets.extend(add_offsets);
} else {
offsets.extend(vec![None; length]);
}
if let Some(add_original_offsets) = original_offsets_2 {
original_offsets.extend(add_original_offsets);
}
if let Some(mask_2) = mask_2 {
mask.extend(mask_2)
} else {
mask.extend(vec![Mask::None; length]);
}
}
special_tokens_mask.push(1);
token_segment_ids.push(1);
output.push(self.vocab.token_to_id(MarianVocab::eos_value()));
offsets.push(None);
original_offsets.push(vec!());
mask.push(Mask::Special);
(output, token_segment_ids, special_tokens_mask, offsets, original_offsets, mask)
}
}
impl MultiThreadedTokenizer<MarianVocab> for MarianTokenizer {}