whisper-apr 0.3.3

WASM-first automatic speech recognition engine implementing OpenAI Whisper
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
//! BPE tokenizer
//!
//! Implements byte-pair encoding (BPE) tokenization for Whisper.
//!
//! # Algorithm
//!
//! BPE works by:
//! 1. Starting with bytes as initial tokens
//! 2. Iteratively merging the most frequent adjacent pairs
//! 3. Using pre-learned merge rules to compress text
//!
//! # References
//!
//! - Sennrich et al. (2016): "Neural Machine Translation of Rare Words with Subword Units"
//! - Radford et al. (2019): GPT-2 BPE tokenization

pub mod sentencepiece;
mod vocab;

pub use sentencepiece::SentencePieceTokenizer;
pub use vocab::{special_tokens, MergeRule, Vocabulary};

use crate::error::{WhisperError, WhisperResult};

/// Convert each byte into a single-element token for BPE initialization
fn bytes_to_singleton_tokens(bytes: &[u8]) -> Vec<Vec<u8>> {
    bytes.iter().map(|&b| vec![b]).collect()
}

/// BPE tokenizer for Whisper
///
/// Handles encoding text to tokens and decoding tokens back to text.
/// Uses the GPT-2 style BPE algorithm with UTF-8 byte encoding.
#[derive(Debug, Clone)]
pub struct BpeTokenizer {
    /// Vocabulary with merge rules
    vocab: Vocabulary,
}

impl BpeTokenizer {
    /// Create a new tokenizer with the given vocabulary
    #[must_use]
    pub fn new(vocab: Vocabulary) -> Self {
        Self { vocab }
    }

    /// Create a tokenizer from a loaded vocabulary
    ///
    /// Alias for `new()` for clarity when loading from APR files.
    #[must_use]
    pub fn from_vocabulary(vocab: Vocabulary) -> Self {
        Self::new(vocab)
    }

    /// Create a tokenizer with only base byte tokens (no merges)
    ///
    /// Useful for testing or when no merge rules are available.
    #[must_use]
    pub fn with_base_tokens() -> Self {
        Self {
            vocab: Vocabulary::with_base_tokens(),
        }
    }

    /// Encode text to token IDs using BPE
    ///
    /// # Algorithm
    ///
    /// 1. Convert text to UTF-8 bytes
    /// 2. Initialize each byte as a token
    /// 3. Iteratively merge pairs according to merge rules (highest priority first)
    /// 4. Return final token sequence
    ///
    /// # Arguments
    /// * `text` - Input text to tokenize
    ///
    /// # Returns
    /// Vector of token IDs
    ///
    /// # Errors
    /// Returns error if encoding fails
    pub fn encode(&self, text: &str) -> WhisperResult<Vec<u32>> {
        if text.is_empty() {
            return Ok(vec![]);
        }

        let tokens = self.apply_bpe_merges(text.as_bytes());
        self.tokens_to_ids(&tokens)
    }

    /// Apply BPE merges to a byte sequence until no more merges are possible.
    ///
    /// Iteratively finds and applies the highest-priority merge pair in the
    /// current token sequence, collapsing adjacent tokens according to the
    /// learned merge rules.
    fn apply_bpe_merges(&self, bytes: &[u8]) -> Vec<Vec<u8>> {
        let mut tokens: Vec<Vec<u8>> = bytes_to_singleton_tokens(bytes);

        while let Some((idx, merged_bytes)) = self.find_best_merge(&tokens) {
            let second = tokens.remove(idx + 1);
            tokens[idx].extend_from_slice(&second);
            debug_assert_eq!(tokens[idx], merged_bytes);
        }

        tokens
    }

    /// Convert byte-sequence tokens to vocabulary IDs.
    ///
    /// Each token is looked up in the vocabulary. Returns an error if any
    /// byte sequence doesn't map to a known token ID.
    fn tokens_to_ids(&self, tokens: &[Vec<u8>]) -> WhisperResult<Vec<u32>> {
        tokens
            .iter()
            .map(|token_bytes| {
                self.vocab.get_id(token_bytes).ok_or_else(|| {
                    WhisperError::Tokenizer(format!(
                        "unknown token: {:?}",
                        String::from_utf8_lossy(token_bytes)
                    ))
                })
            })
            .collect()
    }

    /// Find the highest priority merge in the token sequence
    fn find_best_merge(&self, tokens: &[Vec<u8>]) -> Option<(usize, Vec<u8>)> {
        if tokens.len() < 2 {
            return None;
        }

        let mut best_priority = usize::MAX;
        let mut best_idx = None;
        let mut best_merged = None;

        // Check all adjacent pairs
        for i in 0..tokens.len() - 1 {
            let first = &tokens[i];
            let second = &tokens[i + 1];

            // Check if this pair can be merged
            if let Some(priority) = self.vocab.merge_priority(first, second) {
                if priority < best_priority {
                    best_priority = priority;
                    best_idx = Some(i);
                    // Compute merged bytes
                    let mut merged = first.clone();
                    merged.extend_from_slice(second);
                    best_merged = Some(merged);
                }
            }
        }

        // SAFETY: best_merged is always set when best_idx is set
        best_idx.and_then(|idx| best_merged.map(|merged| (idx, merged)))
    }

    /// Decode token IDs to text
    ///
    /// # Arguments
    /// * `tokens` - Token IDs to decode
    ///
    /// # Returns
    /// Decoded text string
    ///
    /// # Errors
    /// Returns error if any token ID is invalid
    pub fn decode(&self, tokens: &[u32]) -> WhisperResult<String> {
        self.decode_with_options(tokens, false)
    }

    /// Decode token IDs to text, filtering special tokens
    ///
    /// # Arguments
    /// * `tokens` - Token IDs to decode
    /// * `skip_special` - If true, skip special tokens (EOT, SOT, etc.)
    ///
    /// # Returns
    /// Decoded text string
    ///
    /// # Errors
    /// Returns error if any token ID is invalid
    pub fn decode_with_options(&self, tokens: &[u32], skip_special: bool) -> WhisperResult<String> {
        if tokens.is_empty() {
            return Ok(String::new());
        }

        let filtered: Vec<u32> = if skip_special {
            tokens
                .iter()
                .filter(|&&t| t < special_tokens::EOT)
                .copied()
                .collect()
        } else {
            tokens.to_vec()
        };

        self.vocab
            .decode(&filtered)
            .ok_or_else(|| WhisperError::Tokenizer("invalid token ID".into()))
    }

    /// Get vocabulary reference
    #[must_use]
    pub const fn vocab(&self) -> &Vocabulary {
        &self.vocab
    }

    /// Get vocabulary size
    #[must_use]
    pub fn vocab_size(&self) -> usize {
        self.vocab.len()
    }
}

impl Default for BpeTokenizer {
    fn default() -> Self {
        Self::with_base_tokens()
    }
}

/// Unified tokenizer for both Whisper (BPE) and Moonshine (SentencePiece)
#[derive(Debug, Clone)]
pub enum Tokenizer {
    /// Whisper BPE tokenizer (51,865 tokens)
    Bpe(BpeTokenizer),
    /// Moonshine SentencePiece tokenizer (32,768 tokens)
    SentencePiece(SentencePieceTokenizer),
}

impl Tokenizer {
    /// Encode text to token IDs
    ///
    /// # Errors
    /// Returns error if encoding fails
    pub fn encode(&self, text: &str) -> WhisperResult<Vec<u32>> {
        match self {
            Self::Bpe(t) => t.encode(text),
            Self::SentencePiece(t) => t.encode(text),
        }
    }

    /// Decode token IDs to text
    ///
    /// # Errors
    /// Returns error if decoding fails
    pub fn decode(&self, tokens: &[u32]) -> WhisperResult<String> {
        match self {
            Self::Bpe(t) => t.decode(tokens),
            Self::SentencePiece(t) => t.decode(tokens),
        }
    }

    /// Get vocabulary size
    #[must_use]
    pub fn vocab_size(&self) -> usize {
        match self {
            Self::Bpe(t) => t.vocab_size(),
            Self::SentencePiece(t) => t.vocab_size(),
        }
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    // =========================================================================
    // Construction Tests
    // =========================================================================

    #[test]
    fn test_tokenizer_new() {
        let vocab = Vocabulary::new();
        let tokenizer = BpeTokenizer::new(vocab);
        assert_eq!(tokenizer.vocab_size(), 0);
    }

    #[test]
    fn test_tokenizer_with_base_tokens() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        assert_eq!(tokenizer.vocab_size(), 256);
    }

    #[test]
    fn test_tokenizer_default() {
        let tokenizer = BpeTokenizer::default();
        assert_eq!(tokenizer.vocab_size(), 256);
    }

    // =========================================================================
    // Encode Tests
    // =========================================================================

    #[test]
    fn test_tokenizer_encode_empty() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer.encode("");
        assert!(matches!(result, Ok(ref v) if v.is_empty()));
    }

    #[test]
    fn test_tokenizer_encode_single_char() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer.encode("a").expect("encode should succeed");
        assert_eq!(result, vec![97]); // 'a' = 97
    }

    #[test]
    fn test_tokenizer_encode_ascii() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer.encode("hi").expect("encode should succeed");
        assert_eq!(result, vec![104, 105]); // 'h' = 104, 'i' = 105
    }

    #[test]
    fn test_tokenizer_encode_hello() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer.encode("hello").expect("encode should succeed");
        assert_eq!(result, vec![104, 101, 108, 108, 111]);
    }

    #[test]
    fn test_tokenizer_encode_with_merges() {
        let mut vocab = Vocabulary::with_base_tokens();
        // Add merge: 'h' + 'i' -> "hi"
        vocab.add_merge(vec![104], vec![105]);

        let tokenizer = BpeTokenizer::new(vocab);
        let result = tokenizer.encode("hi").expect("encode should succeed");

        // Should use merged token
        assert_eq!(result, vec![256]); // Merged token ID
    }

    #[test]
    fn test_tokenizer_encode_multiple_merges() {
        let mut vocab = Vocabulary::with_base_tokens();
        // Add merges in priority order
        vocab.add_merge(vec![104], vec![101]); // 'h' + 'e' -> "he" (priority 0)
        vocab.add_merge(vec![108], vec![108]); // 'l' + 'l' -> "ll" (priority 1)
        vocab.add_merge(vec![108, 108], vec![111]); // "ll" + 'o' -> "llo" (priority 2)

        let tokenizer = BpeTokenizer::new(vocab);
        let result = tokenizer.encode("hello").expect("encode should succeed");

        // "hello" -> "he" + "llo" -> tokens [256, 258]
        assert_eq!(result, vec![256, 258]);
    }

    #[test]
    fn test_tokenizer_encode_space() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer.encode(" ").expect("encode should succeed");
        assert_eq!(result, vec![32]); // space = 32
    }

    #[test]
    fn test_tokenizer_encode_newline() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer.encode("\n").expect("encode should succeed");
        assert_eq!(result, vec![10]); // newline = 10
    }

    #[test]
    fn test_tokenizer_encode_utf8_emoji() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        // UTF-8 bytes for 😀 are [240, 159, 152, 128]
        let result = tokenizer.encode("😀").expect("encode should succeed");
        assert_eq!(result, vec![240, 159, 152, 128]);
    }

    #[test]
    fn test_tokenizer_encode_utf8_japanese() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        // UTF-8 bytes for こんにちは (konnichiwa)
        let result = tokenizer.encode("").expect("encode should succeed");
        // UTF-8 bytes for こ are [227, 129, 147]
        assert_eq!(result, vec![227, 129, 147]);
    }

    // =========================================================================
    // Decode Tests
    // =========================================================================

    #[test]
    fn test_tokenizer_decode_empty() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer.decode(&[]);
        assert!(matches!(result, Ok(ref s) if s.is_empty()));
    }

    #[test]
    fn test_tokenizer_decode_single_token() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer.decode(&[97]).expect("decode should succeed");
        assert_eq!(result, "a");
    }

    #[test]
    fn test_tokenizer_decode_hello() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer
            .decode(&[104, 101, 108, 108, 111])
            .expect("decode should succeed");
        assert_eq!(result, "hello");
    }

    #[test]
    fn test_tokenizer_decode_with_merged_tokens() {
        let mut vocab = Vocabulary::with_base_tokens();
        vocab.add_merge(vec![104], vec![105]); // "hi"

        let tokenizer = BpeTokenizer::new(vocab);
        let result = tokenizer.decode(&[256]).expect("decode should succeed");
        assert_eq!(result, "hi");
    }

    #[test]
    fn test_tokenizer_decode_invalid_token() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let result = tokenizer.decode(&[50000]); // Invalid token
        assert!(result.is_err());
    }

    #[test]
    fn test_tokenizer_decode_skips_special() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        // Include special tokens - they should be skipped
        let result = tokenizer
            .decode(&[104, 105, special_tokens::EOT])
            .expect("decode should succeed");
        assert_eq!(result, "hi");
    }

    // =========================================================================
    // Roundtrip Tests
    // =========================================================================

    #[test]
    fn test_tokenizer_roundtrip_ascii() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let text = "Hello, World!";
        let tokens = tokenizer.encode(text).expect("encode should succeed");
        let decoded = tokenizer.decode(&tokens).expect("decode should succeed");
        assert_eq!(decoded, text);
    }

    #[test]
    fn test_tokenizer_roundtrip_with_merges() {
        let mut vocab = Vocabulary::with_base_tokens();
        vocab.add_merge(vec![116], vec![104]); // "th"
        vocab.add_merge(vec![116, 104], vec![101]); // "the"

        let tokenizer = BpeTokenizer::new(vocab);
        let text = "the";
        let tokens = tokenizer.encode(text).expect("encode should succeed");
        let decoded = tokenizer.decode(&tokens).expect("decode should succeed");
        assert_eq!(decoded, text);
    }

    #[test]
    fn test_tokenizer_roundtrip_utf8() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let text = "Hello 世界 🌍";
        let tokens = tokenizer.encode(text).expect("encode should succeed");
        let decoded = tokenizer.decode(&tokens).expect("decode should succeed");
        assert_eq!(decoded, text);
    }

    // =========================================================================
    // Decode With Options Tests
    // =========================================================================

    #[test]
    fn test_decode_with_options_skip_special() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let tokens = vec![104, 105, special_tokens::SOT, special_tokens::EOT];
        let result = tokenizer
            .decode_with_options(&tokens, true)
            .expect("decode should succeed");
        assert_eq!(result, "hi");
    }

    #[test]
    fn test_decode_with_options_keep_special() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let tokens = vec![104, 105]; // No special tokens
        let result = tokenizer
            .decode_with_options(&tokens, false)
            .expect("decode should succeed");
        assert_eq!(result, "hi");
    }

    // =========================================================================
    // Property Tests
    // =========================================================================

    #[test]
    fn test_encode_never_empty_for_nonempty_input() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let inputs = ["a", " ", "\n", "hello", "🎉"];

        for input in &inputs {
            let tokens = tokenizer.encode(input).expect("encode should succeed");
            assert!(
                !tokens.is_empty(),
                "encode('{}') should produce non-empty output",
                input
            );
        }
    }

    #[test]
    fn test_encode_produces_valid_tokens() {
        let tokenizer = BpeTokenizer::with_base_tokens();
        let text = "The quick brown fox jumps over the lazy dog.";
        let tokens = tokenizer.encode(text).expect("encode should succeed");

        for &token_id in &tokens {
            assert!(
                tokenizer.vocab().get_bytes(token_id).is_some(),
                "token {} should be valid",
                token_id
            );
        }
    }

    // =========================================================================
    // Property-Based Tests (WAPR-QA-002)
    // =========================================================================

    /// Generate printable ASCII token IDs for property testing
    fn test_token_ids(count: usize) -> Vec<u32> {
        (0..count).map(|i| (i % 128) as u32 + 32).collect()
    }

    mod property_tests {
        use super::*;
        use proptest::prelude::*;

        proptest! {
            #![proptest_config(ProptestConfig::with_cases(50))]

            #[test]
            fn property_encode_produces_valid_tokens(s in "[a-zA-Z0-9 ]{1,50}") {
                let tokenizer = BpeTokenizer::with_base_tokens();
                if let Ok(tokens) = tokenizer.encode(&s) {
                    for token in &tokens {
                        prop_assert!(
                            tokenizer.vocab().get_bytes(*token).is_some(),
                            "token {} from encoding '{}' should be valid",
                            token,
                            s
                        );
                    }
                }
            }

            #[test]
            fn property_decode_produces_string(token_count in 1usize..20) {
                let tokenizer = BpeTokenizer::with_base_tokens();
                // Generate valid token IDs (base tokens are 0-255)
                let tokens = test_token_ids(token_count);

                if let Ok(result) = tokenizer.decode(&tokens) {
                    // Should produce some output
                    prop_assert!(result.len() <= token_count * 4); // Each byte -> max 4 UTF-8 bytes
                }
            }

            #[test]
            fn property_vocab_size_positive(_dummy in 0..1i32) {
                let tokenizer = BpeTokenizer::with_base_tokens();

                let size = tokenizer.vocab_size();
                prop_assert!(size > 0, "vocab size should be positive");

                // Vocab size should match vocabulary entries
                let vocab = tokenizer.vocab();
                prop_assert_eq!(size, vocab.len());
            }

            #[test]
            fn property_special_tokens_reasonable(_dummy in 0..1i32) {
                let tokenizer = BpeTokenizer::with_base_tokens();

                // All special tokens should be valid
                let special_tokens = [
                    special_tokens::SOT,
                    special_tokens::EOT,
                    special_tokens::TRANSCRIBE,
                    special_tokens::TRANSLATE,
                    special_tokens::NO_TIMESTAMPS,
                ];

                for token in special_tokens {
                    // Whisper special tokens are in the 50256+ range (EOT=50256, SOT=50257, etc.)
                    prop_assert!(
                        (token as usize) >= 50256 && (token as usize) < 60000,
                        "special token {} should be in Whisper's special token range (50256-60000)",
                        token
                    );
                    // Also verify the base tokenizer has some vocabulary
                    prop_assert!(tokenizer.vocab_size() > 0, "tokenizer should have vocabulary");
                }
            }
        }
    }

    // =========================================================================
    // Tokenizer enum and from_vocabulary coverage (WAPR-KAIZEN-001)
    // =========================================================================

    #[test]
    fn test_from_vocabulary_alias() {
        let vocab = Vocabulary::new();
        let tokenizer = BpeTokenizer::from_vocabulary(vocab);
        assert_eq!(tokenizer.vocab_size(), 0);
    }

    #[test]
    fn test_tokenizer_enum_bpe_encode() {
        let tokenizer = Tokenizer::Bpe(BpeTokenizer::with_base_tokens());
        let result = tokenizer.encode("hi");
        assert!(result.is_ok());
        assert!(!result.expect("encode should succeed").is_empty());
    }

    #[test]
    fn test_tokenizer_enum_bpe_decode() {
        let tokenizer = Tokenizer::Bpe(BpeTokenizer::with_base_tokens());
        let encoded = tokenizer.encode("ab").expect("encode should succeed");
        let decoded = tokenizer.decode(&encoded);
        assert!(decoded.is_ok());
        assert_eq!(decoded.expect("decode should succeed"), "ab");
    }

    #[test]
    fn test_tokenizer_enum_bpe_vocab_size() {
        let tokenizer = Tokenizer::Bpe(BpeTokenizer::with_base_tokens());
        assert_eq!(tokenizer.vocab_size(), 256);
    }

    #[test]
    fn test_tokenizer_enum_sentencepiece_encode() {
        let tokenizer = Tokenizer::SentencePiece(SentencePieceTokenizer::new(32768));
        let result = tokenizer.encode("hello");
        assert!(result.is_ok());
    }

    #[test]
    fn test_tokenizer_enum_sentencepiece_decode() {
        let tokenizer = Tokenizer::SentencePiece(SentencePieceTokenizer::new(32768));
        // Empty vocabulary cannot decode real tokens, just verify it dispatches
        let result = tokenizer.decode(&[]);
        assert!(result.is_ok());
    }

    #[test]
    fn test_tokenizer_enum_sentencepiece_vocab_size() {
        let tokenizer = Tokenizer::SentencePiece(SentencePieceTokenizer::new(32768));
        assert!(tokenizer.vocab_size() > 0);
    }

    #[test]
    fn test_tokenizer_enum_debug() {
        let tokenizer = Tokenizer::Bpe(BpeTokenizer::with_base_tokens());
        let debug = format!("{tokenizer:?}");
        assert!(debug.contains("Bpe"));
    }

    #[test]
    fn test_tokenizer_enum_clone() {
        let tokenizer = Tokenizer::Bpe(BpeTokenizer::with_base_tokens());
        let cloned = tokenizer.clone();
        assert_eq!(tokenizer.vocab_size(), cloned.vocab_size());
    }
}