# SPDX-License-Identifier: Apache-2.0 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project from transformers import AutoTokenizer from vllm.sampling_params import SamplingParams from vllm.v1.engine import EngineCoreRequest from vllm.v1.engine.detokenizer import IncrementalDetokenizer # ruff: noqa: E501 def test_fast_inc_detok_invalid_utf8_err_case(): """ Test edge case where tokenizer can produce non-monotonic, invalid UTF-8 output, which breaks the internal state of tokenizers' DecodeStream. See https://github.com/vllm-project/vllm/issues/17448. Thanks to reproducer from @fpaupier: https://gist.github.com/fpaupier/0ed1375bd7633c5be6c894b1c7ac1be3. """ tokenizer = AutoTokenizer.from_pretrained("google/gemma-3-1b-it") # Create a test request prompt_token_ids = [107, 4606, 236787, 107] params = SamplingParams(skip_special_tokens=True) request = EngineCoreRequest( "test", prompt_token_ids, None, None, None, params, None, 0.0, None, cache_salt=None, data_parallel_rank=None, ) detokenizer = IncrementalDetokenizer.from_new_request(tokenizer, request) assert detokenizer.__class__.__name__ == "FastIncrementalDetokenizer", \ "Should use FastIncrementalDetokenizer by default" # Process tokens incrementally test_tokens = [ 236840, 107, 138, 236782, 107, 140, 236775, 6265, 1083, 623, 121908, 147418, 827, 107, 140, 236775, 6265, 236779, 2084, 1083, 623, 203292, 827, 107, 140, 236775, 6265, 236779, 7777, 1083, 623, 121908, 147418, 569, 537, 236789, 65880, 569, 537, 236789, 62580, 853, 115693, 210118, 35178, 16055, 1270, 759, 215817, 4758, 1925, 1117, 827, 107, 140, 236775, 5654, 1083, 623, 110733, 46291, 827, 107, 140, 236775, 5654, 236779, 2084, 1083, 623, 136955, 56731, 827, 107, 140, 236775, 5654, 236779, 7777, 1083, 623, 194776, 2947, 496, 109811, 1608, 890, 215817, 4758, 1925, 1117, 2789, 432, 398, 602, 31118, 569, 124866, 134772, 509, 19478, 1640, 33779, 236743, 236770, 236819, 236825, 236771, 432, 398, 432, 237167, 827, 107, 140, 236775, 77984, 1083, 623, 2709, 236745, 2555, 513, 236789, 602, 31118, 569 ] output = "" for i, token_id in enumerate(test_tokens): detokenizer.update([token_id], False) finished = i == len(test_tokens) - 1 output += detokenizer.get_next_output_text(finished, delta=True) # fmt: off assert output == r'''[ { "source": "Résultats", "source_type": "CONCEPT", "source_description": "Résultats de l'analyse de l'impact des opérations israéliennes sur la frontière libanaise", "target": "Israël", "target_type": "ORGANIZATION", "target_description": "Pays qui a obtenu à sa frontière libanaise « un niveau de calme inédit depuis les années 1960 »", "relationship": "Obtention d'un niveau de'''