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use crate::preprocessing::error::TokenizerError;
use crate::preprocessing::vocab::base_vocab::{swap_key_values, Vocab};
use std::collections::HashMap;
use std::fs::File;
use std::io::BufReader;
pub struct OpenAiGptVocab {
pub values: HashMap<String, i64>,
pub indices: HashMap<i64, String>,
pub unknown_value: &'static str,
pub special_values: HashMap<String, i64>,
pub special_indices: HashMap<i64, String>,
}
impl Vocab for OpenAiGptVocab {
fn unknown_value() -> &'static str {
"<unk>"
}
fn get_unknown_value(&self) -> &'static str {
"<unk>"
}
fn values(&self) -> &HashMap<String, i64> {
&self.values
}
fn indices(&self) -> &HashMap<i64, String> {
&self.indices
}
fn special_values(&self) -> &HashMap<String, i64> {
&self.special_values
}
fn special_indices(&self) -> &HashMap<i64, String> {
&self.special_indices
}
fn from_file(path: &str) -> Result<OpenAiGptVocab, TokenizerError> {
let f = File::open(path).map_err(|e| {
TokenizerError::FileNotFound(format!("{} vocabulary file not found :{}", path, e))
})?;
let br = BufReader::new(f);
let values: HashMap<String, i64> = match serde_json::from_reader(br) {
Ok(value) => value,
Err(e) => {
return Err(TokenizerError::VocabularyParsingError(e.to_string()));
}
};
let mut special_values = HashMap::new();
let unknown_value = OpenAiGptVocab::unknown_value();
OpenAiGptVocab::_register_as_special_value(unknown_value, &values, &mut special_values)?;
let indices = swap_key_values(&values);
let special_indices = swap_key_values(&special_values);
Ok(OpenAiGptVocab {
values,
indices,
unknown_value,
special_values,
special_indices,
})
}
fn token_to_id(&self, token: &str) -> i64 {
self._token_to_id(
token,
&self.values,
&self.special_values,
&self.unknown_value,
)
}
fn id_to_token(&self, id: &i64) -> String {
self._id_to_token(
&id,
&self.indices,
&self.special_indices,
&self.unknown_value,
)
}
}
#[cfg(test)]
mod tests {
extern crate anyhow;
use super::*;
use std::io::Write;
#[test]
fn test_create_vocab() {
let values: HashMap<String, i64> = HashMap::new();
let special_values: HashMap<String, i64> = HashMap::new();
let indices: HashMap<i64, String> = HashMap::new();
let special_indices: HashMap<i64, String> = HashMap::new();
let unknown_value = OpenAiGptVocab::unknown_value();
let openai_gpt_vocab = OpenAiGptVocab {
values,
indices,
unknown_value,
special_indices,
special_values,
};
assert_eq!(openai_gpt_vocab.unknown_value, "<unk>");
assert_eq!(
openai_gpt_vocab.unknown_value,
OpenAiGptVocab::unknown_value()
);
assert_eq!(openai_gpt_vocab.values, *openai_gpt_vocab.values());
assert_eq!(
openai_gpt_vocab.special_values,
*openai_gpt_vocab.special_values()
);
}
#[test]
fn test_create_object_from_file() -> anyhow::Result<()> {
let mut vocab_file = tempfile::NamedTempFile::new()?;
write!(
vocab_file,
"{{\"hello\": 1,\n \"world\": 0,\n \"<unk>\": 2,\n \"!\": 3\n}}"
)?;
let path = vocab_file.into_temp_path();
let target_values: HashMap<String, i64> = [
("hello".to_owned(), 1),
("world".to_owned(), 0),
("<unk>".to_owned(), 2),
("!".to_owned(), 3),
]
.iter()
.cloned()
.collect();
let special_values: HashMap<String, i64> =
[("<unk>".to_owned(), 2)].iter().cloned().collect();
let openai_gpt_vocab = OpenAiGptVocab::from_file(path.to_path_buf().to_str().unwrap())?;
assert_eq!(openai_gpt_vocab.unknown_value, "<unk>");
assert_eq!(openai_gpt_vocab.values, target_values);
assert_eq!(openai_gpt_vocab.special_values, special_values);
drop(path);
Ok(())
}
#[test]
#[should_panic]
fn test_create_object_from_file_without_unknown_token() {
let mut vocab_file = tempfile::NamedTempFile::new().unwrap();
write!(vocab_file, "{{\"hello\": 1,\n \"world\": 0,\n \"!\": 3\n}}").unwrap();
let path = vocab_file.into_temp_path();
let _ctrl_vocab = OpenAiGptVocab::from_file(path.to_path_buf().to_str().unwrap()).unwrap();
}
#[test]
fn test_encode_tokens() -> anyhow::Result<()> {
let mut vocab_file = tempfile::NamedTempFile::new()?;
write!(
vocab_file,
"{{\"hello\": 1,\n \"world\": 0,\n \"<unk>\": 2,\n \"!\": 3\n}}"
)?;
let path = vocab_file.into_temp_path();
let openai_gpt_vocab = OpenAiGptVocab::from_file(path.to_path_buf().to_str().unwrap())?;
assert_eq!(openai_gpt_vocab.token_to_id("hello"), 1);
assert_eq!(openai_gpt_vocab.token_to_id("world"), 0);
assert_eq!(openai_gpt_vocab.token_to_id("!"), 3);
assert_eq!(openai_gpt_vocab.token_to_id("<unk>"), 2);
assert_eq!(openai_gpt_vocab.token_to_id("oov_value"), 2);
drop(path);
Ok(())
}
#[test]
fn test_decode_tokens() -> anyhow::Result<()> {
let mut vocab_file = tempfile::NamedTempFile::new()?;
write!(
vocab_file,
"{{\"hello\": 1,\n \"world\": 0,\n \"<unk>\": 2,\n \"!\": 3\n}}"
)?;
let path = vocab_file.into_temp_path();
let openai_gpt_vocab = OpenAiGptVocab::from_file(path.to_path_buf().to_str().unwrap())?;
assert_eq!(openai_gpt_vocab.id_to_token(&(1 as i64)), "hello");
assert_eq!(openai_gpt_vocab.id_to_token(&(0 as i64)), "world");
assert_eq!(openai_gpt_vocab.id_to_token(&(3 as i64)), "!");
assert_eq!(openai_gpt_vocab.id_to_token(&(2 as i64)), "<unk>");
drop(path);
Ok(())
}
}