InternLM/xtuner

11.4

Adjusted Score

11.4

Raw Score

100%

Time Factor

2026-07-14

Last Push

5.2K

Stars

Python

Language

310.5K

Lines of Code

1.5K

Files

2.6K

Pattern Hits

2026-07-14

Scan Date

0.10

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 2HIGH 144MEDIUM 186LOW 2233

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 2565 distinct pattern matches across 23 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Unused Imports847 hits · 789 pts

Severity	File	Line	Context
LOW	ci/config/qwen3_5_moe_35BA3.py	11	CODE
LOW	ci/scripts/xtuner_unittest.py	10	CODE
LOW	ci/scripts/test_sft_trainer.py	15	CODE
LOW	ci/scripts/test_sft_trainer.py	20	CODE
LOW	ci/scripts/test_sft_trainer_235B.py	9	CODE
LOW	ci/scripts/test_sft_trainer_235B.py	22	CODE
LOW	ci/scripts/test_sft_trainer_235B.py	23	CODE
LOW	ci/scripts/test_sft_trainer_235B.py	26	CODE
LOW	ci/scripts/test_sft_dense_trainer.py	16	CODE
LOW	ci/scripts/test_sft_dense_trainer.py	19	CODE
LOW	ci/scripts/test_sft_trainer_intralayer.py	21	CODE
LOW	…erl_agent/gsm8k_tool_example/gsm8k_tool_grpo_config.py	9	CODE
LOW	tests/conftest.py	15	CODE
LOW	tests/chat_template/test_chat_template.py	1	CODE
LOW	tests/chat_template/test_chat_template.py	7	CODE
LOW	tests/loss/test_oreal_loss.py	1	CODE
LOW	tests/loss/test_oreal_loss.py	4	CODE
LOW	tests/loss/test_oreal_loss.py	4	CODE
LOW	tests/loss/test_oreal_loss.py	4	CODE
LOW	tests/loss/test_oreal_loss.py	5	CODE
LOW	tests/loss/test_oreal_loss.py	5	CODE
LOW	tests/loss/test_oreal_loss.py	5	CODE
LOW	tests/loss/test_oreal_loss.py	5	CODE
LOW	tests/loss/test_oreal_loss.py	11	CODE
LOW	tests/loss/test_oreal_loss.py	11	CODE
LOW	tests/loss/test_grpo_loss.py	1	CODE
LOW	tests/float8/triton_kernels/test_import.py	27	CODE
LOW	tests/float8/triton_kernels/test_import.py	27	CODE
LOW	tests/float8/triton_kernels/test_import.py	27	CODE
LOW	tests/module/dispatcher/test_agrs_all2all.py	1	CODE
LOW	tests/module/dispatcher/test_agrs_all2all.py	4	CODE
LOW	tests/module/dispatcher/test_deepep.py	1	CODE
LOW	tests/module/dispatcher/test_deepep.py	9	CODE
LOW	tests/datasets/test_dataloader.py	4	CODE
LOW	tests/datasets/test_pack_config_from_pack_infos.py	12	CODE
LOW	tests/datasets/test_qwen35_vl_tokenize_fn.py	3	CODE
LOW	tests/datasets/test_qwen35_vl_tokenize_fn.py	4	CODE
LOW	tests/datasets/test_long_text_tokenize.py	6	CODE
LOW	tests/datasets/test_long_text_tokenize.py	7	CODE
LOW	tests/datasets/test_dataset.py	1	CODE
LOW	tests/datasets/test_dataset.py	4	CODE
LOW	tests/utils/test_compile.py	1	CODE
LOW	tests/utils/test_internal_metrics.py	2	CODE
LOW	tests/utils/test_internal_metrics.py	5	CODE
LOW	tests/utils/test_internal_metrics.py	6	CODE
LOW	tests/utils/test_internal_metrics.py	16	CODE
LOW	tests/utils/test_internal_metrics.py	17	CODE
LOW	tests/utils/test_internal_metrics.py	18	CODE
LOW	tests/utils/test_internal_metrics.py	19	CODE
LOW	tests/utils/test_internal_metrics.py	20	CODE
LOW	tests/utils/test_checkpoint_wrapper_checker.py	1	CODE
LOW	tests/utils/test_check_health.py	5	CODE
LOW	tests/model/test_qwen3_vl.py	2	CODE
LOW	tests/model/test_qwen3_vl.py	17	CODE
LOW	tests/model/test_qwen3_dense.py	6	CODE
LOW	tests/model/test_qwen3_dense.py	17	CODE
LOW	tests/model/test_intern_s1.py	20	CODE
LOW	tests/model/test_qwen3_tile_embedding.py	12	CODE
LOW	tests/model/test_qwen3_tile_embedding.py	13	CODE
LOW	tests/model/test_qwen3_tile_embedding.py	14	CODE
787 more matches not shown…

Hyper-Verbose Identifiers742 hits · 764 pts

Severity	File	Line	Snippet	Context
LOW	…erl_agent/sandbox_example/test_verl_tool_agent_loop.py	208	def _setup_sandbox_and_verl_config(self):	CODE
LOW	…erl_agent/sandbox_example/test_verl_tool_agent_loop.py	240	async def test_verl_tool_agent_loop(self):	CODE
LOW	…erl_agent/sandbox_example/test_verl_tool_agent_loop.py	313	async def test_verl_tool_agent_loop_manager(self):	CODE
LOW	tests/conftest.py	26	def _is_hf_dynamic_module_root(path: str) -> bool:	CODE
LOW	tests/conftest.py	34	def _cleanup_hf_dynamic_modules() -> None:	CODE
LOW	tests/loss/test_ce_loss.py	38	def test_global_loss_reduction(self, loss_mode, grad_accumulation_steps, chunk_size, atol, rtol):	CODE
LOW	tests/loss/test_ce_loss.py	131	def test_other_loss_reduction(self, loss_reduction, loss_mode, grad_accumulation_steps, chunk_size, atol, rtol):	CODE
LOW	tests/loss/test_ce_loss.py	266	def test_sp_global_loss_reduction(self, loss_mode, sp_size, grad_accumulation_steps, chunk_size, atol, rtol):	CODE
LOW	tests/loss/test_ce_loss.py	341	def test_sp_others_loss_reduction(self, loss_reduction, loss_mode, sp_size, grad_accumulation_steps, chunk_size, ato	CODE
LOW	tests/float8/triton_kernels/test_import.py	23	def test_cpu_actor_triton_kernels_import(self):	CODE
LOW	tests/module/test_rope.py	33	def test_fope_init_sin_coef_same(self):	CODE
LOW	tests/module/dispatcher/test_agrs_all2all.py	24	def test_dispatch_and_combine(self, dtype, device):	CODE
LOW	tests/module/dispatcher/test_noep.py	20	def test_dispatch_and_combine(self, dtype, device):	CODE
LOW	tests/module/dispatcher/test_deepep.py	29	def test_dispatch_and_combine(self, dtype, device, async_op):	CODE
LOW	tests/module/dispatcher/test_torch_all2all.py	22	def test_dispatch_and_combine(self, dtype, device):	CODE
LOW	tests/datasets/test_dataloader.py	172	def test_dataloader_resume_single_process(tmp_path, pack_level, num_workers, group_by_length, pack_workers):	CODE
LOW	tests/datasets/test_dataloader.py	374	def test_dataloader_resume_multi_process(tmp_path, pack_level, num_workers, group_by_length):	CODE
LOW	tests/datasets/test_pack_config_from_pack_infos.py	47	def test_pack_config_from_pack_infos_hundred_million_rows():	CODE
LOW	tests/datasets/test_pack_config_from_pack_infos.py	110	def test_pack_config_vectorized_matches_reference_small():	CODE
LOW⚡	tests/datasets/test_long_text_tokenize.py	40	def test_shard_char_boundaries_short():	CODE
LOW⚡	tests/datasets/test_long_text_tokenize.py	58	def test_shard_char_boundaries_long():	CODE
LOW⚡	tests/datasets/test_long_text_tokenize.py	91	def test_mixed_short_long_jsonl():	CODE
LOW⚡	tests/datasets/test_long_text_tokenize.py	206	def test_call_runtime_char_range():	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	23	def test_intern_vl_sft_single_image(self):	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	54	def test_intern_vl_sft_multi_image(self):	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	93	def test_intern_vl_sft_one_video(self):	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	138	def test_intern_vl_sft_multi_video(self):	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	179	def test_intern_vl_sft_pure_text(self):	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	202	def test_intern_vl_pretrain_pure_text(self):	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	219	def test_intern_vl_pretrain_image(self):	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	241	def test_intern_vl_pretrain_video(self):	CODE
LOW	tests/datasets/test_preset_sampler.py	61	def test_invalid_order_out_of_range(tmp_path):	CODE
LOW	tests/datasets/test_preset_sampler.py	70	def test_load_from_npy_file_mmap(tmp_path):	CODE
LOW	tests/datasets/test_preset_sampler.py	99	def test_state_dict_world_size_mismatch(tmp_path):	CODE
LOW	tests/datasets/test_preset_sampler.py	133	def test_round_down_too_short_raises(tmp_path):	CODE
LOW⚡	tests/datasets/test_preset_pack_dataset.py	116	def test_valid_pack_exact_length(self, tmp_path):	CODE
LOW⚡	tests/datasets/test_preset_pack_dataset.py	126	def test_invalid_dataset_path(self, tmp_path):	CODE
LOW⚡	tests/datasets/test_preset_pack_dataset.py	391	def test_zero_token_filter_applied_by_default(self, tmp_path, monkeypatch):	CODE
LOW⚡	tests/datasets/test_preset_pack_dataset.py	438	def test_forces_dataset_settings(self):	CODE
LOW⚡	tests/datasets/test_preset_pack_dataset.py	466	def generate_stress_pack_config(num_slices: int, pack_max_length: int, out_dir: str) -> int:	CODE
LOW⚡	tests/datasets/test_preset_pack_dataset.py	612	def test_generate_stress_pack_config(self, tmp_path):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	201	def test_invalid_token_end_offset(self, tmp_path):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	211	def test_invalid_token_end_offset_equal(self, tmp_path):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	279	def test_mixed_dataitem_and_longtextdataitem(self, tmp_path):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	296	def test_consistency_check_error_dataitem_got_longtext(self, tmp_path):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	309	def test_consistency_check_error_longtext_fields_mismatch(self, tmp_path):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	322	def test_plain_tokenizefn_token_start_offset_applied(self, tmp_path):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	339	def test_longtextdataitem_no_extra_truncation(self, tmp_path):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	403	def test_disable_filter_skips_zero_token_filter(self, tmp_path, monkeypatch):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	413	def test_disable_filter_skips_max_length_filter(self, tmp_path, monkeypatch):	CODE
LOW	tests/datasets/test_preset_pack_dataset.py	623	def test_multiprocess_getitem(self, tmp_path):	CODE
LOW	tests/datasets/test_jsonl_dataset.py	60	def test_jsonl_dataset_smoke_test(self, enable_mmap_shared: bool):	CODE
LOW	tests/datasets/test_jsonl_dataset.py	112	def test_mmap_shared_pss_lower_than_baseline(self):	CODE
LOW⚡	tests/datasets/test_jsonl_dataset.py	254	def test_cache_dir_npy_format_consistent(self):	CODE
LOW⚡	tests/datasets/test_jsonl_dataset.py	258	def test_cache_tag_npy_format_consistent(self):	CODE
LOW⚡	tests/datasets/test_jsonl_dataset.py	262	def test_cache_dir_npy_format_consistent_with_mmap(self):	CODE
LOW⚡	tests/datasets/test_jsonl_dataset.py	266	def test_cache_tag_npy_format_consistent_with_mmap(self):	CODE
LOW⚡	tests/datasets/test_jsonl_dataset.py	270	def test_mmap_fast_path_faster_than_slow_path(self):	CODE
LOW	tests/datasets/test_jsonl_dataset.py	390	def test_npy_dir_meta_save_and_mmap_reload():	CODE
LOW	tests/datasets/test_jsonl_dataset.py	412	def test_build_sampled_indices_uses_numpy_array_and_matches_sampling_semantics():	CODE
682 more matches not shown…

Cross-File Repetition129 hits · 645 pts

Severity	File	Line	Snippet	Context
HIGH	ci/scripts/test_sft_trainer.py	0	plot comparison curves between two sets of data. args: history_data: list of historical data points current_data: list o	STRING
HIGH	ci/scripts/test_sft_trainer_235B.py	0	plot comparison curves between two sets of data. args: history_data: list of historical data points current_data: list o	STRING
HIGH	ci/scripts/test_vlm_sft_trainer.py	0	plot comparison curves between two sets of data. args: history_data: list of historical data points current_data: list o	STRING
HIGH	ci/scripts/test_sft_trainer_dsv3.py	0	plot comparison curves between two sets of data. args: history_data: list of historical data points current_data: list o	STRING
HIGH	ci/scripts/test_sft_dense_trainer.py	0	plot comparison curves between two sets of data. args: history_data: list of historical data points current_data: list o	STRING
HIGH	ci/scripts/test_sft_trainer_intralayer.py	0	plot comparison curves between two sets of data. args: history_data: list of historical data points current_data: list o	STRING
HIGH	…cipe/verl_agent/sandbox_example/sandbox_grpo_config.py	0	rl colocate trainer 示例配置（grpo + gsm8k）。用法：通过环境变量传入路径后，由 cli 加载本配置并 trainer_cfg.build().fit()。需设置: work_dir, model_path	STRING
HIGH	autotest/config/rl_qwen3p5_35B_dapo.py	0	rl colocate trainer 示例配置（grpo + gsm8k）。用法：通过环境变量传入路径后，由 cli 加载本配置并 trainer_cfg.build().fit()。需设置: work_dir, model_path	STRING
HIGH	autotest/config/rl_qwen3_gsm8k_grpo.py	0	rl colocate trainer 示例配置（grpo + gsm8k）。用法：通过环境变量传入路径后，由 cli 加载本配置并 trainer_cfg.build().fit()。需设置: work_dir, model_path	STRING
HIGH	autotest/config/rl_qwen3_vl_geometry3k_grpo.py	0	rl colocate trainer 示例配置（grpo + gsm8k）。用法：通过环境变量传入路径后，由 cli 加载本配置并 trainer_cfg.build().fit()。需设置: work_dir, model_path	STRING
HIGH	examples/v1/config/rl_grpo_gsm8k_with_tool.py	0	rl colocate trainer 示例配置（grpo + gsm8k）。用法：通过环境变量传入路径后，由 cli 加载本配置并 trainer_cfg.build().fit()。需设置: work_dir, model_path	STRING
HIGH	examples/v1/config/rl_grpo_gsm8k_async.py	0	rl colocate trainer 示例配置（grpo + gsm8k）。用法：通过环境变量传入路径后，由 cli 加载本配置并 trainer_cfg.build().fit()。需设置: work_dir, model_path	STRING
HIGH	examples/v1/config/rl_grpo_geo3k_judge.py	0	rl colocate trainer 示例配置（grpo + gsm8k）。用法：通过环境变量传入路径后，由 cli 加载本配置并 trainer_cfg.build().fit()。需设置: work_dir, model_path	STRING
HIGH	examples/v1/config/rl_grpo_gsm8k_judge.py	0	rl colocate trainer 示例配置（grpo + gsm8k）。用法：通过环境变量传入路径后，由 cli 加载本配置并 trainer_cfg.build().fit()。需设置: work_dir, model_path	STRING
HIGH	tests/ops/test_grouped_gemm_triton.py	0	grouped matrix multiplication (gmm) for expert models. args: x (tensor): input tensor of shape (batch_size, seq_len, din	STRING
HIGH	xtuner/v1/ops/moe/cuda/group_gemm_cutlass.py	0	grouped matrix multiplication (gmm) for expert models. args: x (tensor): input tensor of shape (batch_size, seq_len, din	STRING
HIGH	xtuner/v1/ops/moe/cuda/group_gemm.py	0	grouped matrix multiplication (gmm) for expert models. args: x (tensor): input tensor of shape (batch_size, seq_len, din	STRING
HIGH	xtuner/v1/module/attention/mla.py	0	applies rotary position embedding to the query and key tensors. args: q (`torch.tensor`): the query tensor. k (`torch.te	STRING
HIGH	…/model/transformers_models/mixtral/modeling_mixtral.py	0	applies rotary position embedding to the query and key tensors. args: q (`torch.tensor`): the query tensor. k (`torch.te	STRING
HIGH	…l/transformers_models/deepseek_v2/modeling_deepseek.py	0	applies rotary position embedding to the query and key tensors. args: q (`torch.tensor`): the query tensor. k (`torch.te	STRING
HIGH	xtuner/v1/module/attention/mla.py	0	multi-headed attention from 'attention is all you need' paper.	STRING
HIGH	xtuner/v1/module/attention/mha.py	0	multi-headed attention from 'attention is all you need' paper.	STRING
HIGH	…l/transformers_models/deepseek_v2/modeling_deepseek.py	0	multi-headed attention from 'attention is all you need' paper.	STRING
HIGH	xtuner/v1/datasets/sampler.py	0	sets the epoch for this sampler. when :attr:`shuffle=true`, this ensures all replicas use a different random ordering fo	STRING
HIGH	xtuner/dataset/samplers/intern_repo.py	0	sets the epoch for this sampler. when :attr:`shuffle=true`, this ensures all replicas use a different random ordering fo	STRING
HIGH	xtuner/dataset/samplers/length_grouped.py	0	sets the epoch for this sampler. when :attr:`shuffle=true`, this ensures all replicas use a different random ordering fo	STRING
HIGH	xtuner/v1/ops/rotary_emb.py	0	applies rotary position embedding to the query and key tensors. args: q (`torch.tensor`): the query tensor. k (`torch.te	STRING
HIGH	…erters/modeling_internlm2_reward/modeling_internlm2.py	0	applies rotary position embedding to the query and key tensors. args: q (`torch.tensor`): the query tensor. k (`torch.te	STRING
HIGH	xtuner/model/modules/dispatch/phi3.py	0	applies rotary position embedding to the query and key tensors. args: q (`torch.tensor`): the query tensor. k (`torch.te	STRING
HIGH	xtuner/v1/ops/rotary_emb.py	0	this is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). the hidden states go from (batch, num_key_va	STRING
HIGH	…erters/modeling_internlm2_reward/modeling_internlm2.py	0	this is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). the hidden states go from (batch, num_key_va	STRING
HIGH	…/model/transformers_models/mixtral/modeling_mixtral.py	0	this is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). the hidden states go from (batch, num_key_va	STRING
HIGH	…l/transformers_models/deepseek_v2/modeling_deepseek.py	0	this is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). the hidden states go from (batch, num_key_va	STRING
HIGH	xtuner/model/modules/dispatch/phi3.py	0	this is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). the hidden states go from (batch, num_key_va	STRING
HIGH	xtuner/model/modules/dispatch/internlm2.py	0	this is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). the hidden states go from (batch, num_key_va	STRING
HIGH	xtuner/model/modules/dispatch/yi.py	0	this is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). the hidden states go from (batch, num_key_va	STRING
HIGH	…erters/modeling_internlm2_reward/modeling_internlm2.py	0	deepseekv2 flash attention module. this module inherits from `deepseekv2attention` as the weights of the module stays un	STRING
HIGH	…/model/transformers_models/mixtral/modeling_mixtral.py	0	deepseekv2 flash attention module. this module inherits from `deepseekv2attention` as the weights of the module stays un	STRING
HIGH	…l/transformers_models/deepseek_v2/modeling_deepseek.py	0	deepseekv2 flash attention module. this module inherits from `deepseekv2attention` as the weights of the module stays un	STRING
HIGH	…erters/modeling_internlm2_reward/modeling_internlm2.py	0	calls the forward method of flash attention - if the input hidden states contain at least one padding token first unpad	STRING
HIGH	…/model/transformers_models/mixtral/modeling_mixtral.py	0	calls the forward method of flash attention - if the input hidden states contain at least one padding token first unpad	STRING
HIGH	…l/transformers_models/deepseek_v2/modeling_deepseek.py	0	calls the forward method of flash attention - if the input hidden states contain at least one padding token first unpad	STRING
HIGH	…erters/modeling_internlm2_reward/modeling_internlm2.py	0	this model inherits from [`pretrainedmodel`]. check the superclass documentation for the generic methods the library imp	STRING
HIGH	…/model/transformers_models/mixtral/modeling_mixtral.py	0	this model inherits from [`pretrainedmodel`]. check the superclass documentation for the generic methods the library imp	STRING
HIGH	…l/transformers_models/deepseek_v2/modeling_deepseek.py	0	this model inherits from [`pretrainedmodel`]. check the superclass documentation for the generic methods the library imp	STRING
HIGH	…erters/modeling_internlm2_reward/modeling_internlm2.py	0	args: labels (`torch.longtensor` of shape `(batch_size, sequence_length)`, optional): labels for computing the masked	STRING
HIGH	…/model/transformers_models/mixtral/modeling_mixtral.py	0	args: labels (`torch.longtensor` of shape `(batch_size, sequence_length)`, optional): labels for computing the masked	STRING
HIGH	…l/transformers_models/deepseek_v2/modeling_deepseek.py	0	args: labels (`torch.longtensor` of shape `(batch_size, sequence_length)`, optional): labels for computing the masked	STRING
HIGH	…erters/modeling_internlm2_reward/modeling_internlm2.py	0	the deepseekv2 model transformer with a sequence classification head on top (linear layer). [`deepseekv2forsequenceclass	STRING
HIGH	…/model/transformers_models/mixtral/modeling_mixtral.py	0	the deepseekv2 model transformer with a sequence classification head on top (linear layer). [`deepseekv2forsequenceclass	STRING
HIGH	…l/transformers_models/deepseek_v2/modeling_deepseek.py	0	the deepseekv2 model transformer with a sequence classification head on top (linear layer). [`deepseekv2forsequenceclass	STRING
HIGH	…erters/modeling_internlm2_reward/modeling_internlm2.py	0	labels (`torch.longtensor` of shape `(batch_size,)`, optional): labels for computing the sequence classification/regre	STRING
HIGH	…/model/transformers_models/mixtral/modeling_mixtral.py	0	labels (`torch.longtensor` of shape `(batch_size,)`, optional): labels for computing the sequence classification/regre	STRING
HIGH	…l/transformers_models/deepseek_v2/modeling_deepseek.py	0	labels (`torch.longtensor` of shape `(batch_size,)`, optional): labels for computing the sequence classification/regre	STRING
HIGH	…b/internlm2_chat_7b_full_finetune_custom_dataset_e1.py	0	data format: [ { "conversation": [ { "system": "", "input": "xxx", "output": "xxx" }, { "input": "xxx", "output": "xxx"	STRING
HIGH	…internlm2_5_chat_7b_full_finetune_custom_dataset_e1.py	0	data format: [ { "conversation": [ { "system": "", "input": "xxx", "output": "xxx" }, { "input": "xxx", "output": "xxx"	STRING
HIGH	…/internlm2_chat_20b_full_finetune_custom_dataset_e1.py	0	data format: [ { "conversation": [ { "system": "", "input": "xxx", "output": "xxx" }, { "input": "xxx", "output": "xxx"	STRING
HIGH	…lm2_7b/internlm2_7b_full_finetune_custom_dataset_e1.py	0	data format: [ { "conversation": [ { "system": "", "input": "xxx", "output": "xxx" }, { "input": "xxx", "output": "xxx"	STRING
HIGH	…full_finetune_custom_dataset_e1_sequence_parallel_4.py	0	data format: [ { "conversation": [ { "system": "", "input": "xxx", "output": "xxx" }, { "input": "xxx", "output": "xxx"	STRING
HIGH	…2_20b/internlm2_20b_full_finetune_custom_dataset_e1.py	0	data format: [ { "conversation": [ { "system": "", "input": "xxx", "output": "xxx" }, { "input": "xxx", "output": "xxx"	STRING
69 more matches not shown…

Decorative Section Separators136 hits · 477 pts

Severity	File	Line	Snippet	Context
MEDIUM	tests/datasets/test_long_text_tokenize.py	12	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_long_text_tokenize.py	14	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_long_text_tokenize.py	36	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_long_text_tokenize.py	38	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_long_text_tokenize.py	54	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_long_text_tokenize.py	56	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_long_text_tokenize.py	87	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_long_text_tokenize.py	89	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_long_text_tokenize.py	176	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_long_text_tokenize.py	178	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_long_text_tokenize.py	202	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_long_text_tokenize.py	204	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_sampler.py	9	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_sampler.py	11	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_sampler.py	33	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_sampler.py	35	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	110	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	112	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	385	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	387	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	432	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	434	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	457	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	459	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	606	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/datasets/test_preset_pack_dataset.py	608	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_pack_dataset.py	18	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_pack_dataset.py	20	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_pack_dataset.py	79	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_pack_dataset.py	81	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_pack_dataset.py	222	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_pack_dataset.py	224	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_pack_dataset.py	356	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/datasets/test_preset_pack_dataset.py	358	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/optim/test_muon.py	31	# ─── Test: Newton-Schulz functions ───────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	62	# ─── Model for end-to-end tests ──────────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	150	# ─── Reference optimizer ─────────────────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	300	# ─── Test: single-GPU correctness ───────────────────────────────────────────	COMMENT
MEDIUM⚡	tests/optim/test_muon.py	325	# ── Build two identical models ───────────────────────────────────────	COMMENT
MEDIUM⚡	tests/optim/test_muon.py	332	# ── Reference path ───────────────────────────────────────────────────	COMMENT
MEDIUM⚡	tests/optim/test_muon.py	338	# ── Production path ──────────────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	352	# ── Compare all parameters ───────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	366	# ─── Test: end-to-end FSDP ───────────────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	394	# ── Build model on every rank, then broadcast rank-0 weights ─────────	COMMENT
MEDIUM	tests/optim/test_muon.py	402	# ── Generate input data on rank 0 and scatter ────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	413	# ── Reference: forward all samples, average loss ─────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	420	# ── Fully shard the test model (production path) ─────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	432	# ── Production Muon optimizer step ────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	437	# ── Compare all parameters ───────────────────────────────────────────	COMMENT
MEDIUM⚡	tests/profiler/test_prober.py	74	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/profiler/test_prober.py	76	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/profiler/test_prober.py	39	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/profiler/test_prober.py	41	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/profiler/test_prober.py	155	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/profiler/test_prober.py	157	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/profiler/test_prober.py	236	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/profiler/test_prober.py	238	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/profiler/test_prober.py	326	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/profiler/test_prober.py	328	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/profiler/test_prober.py	402	# ---------------------------------------------------------------------------	COMMENT
76 more matches not shown…

Deep Nesting227 hits · 216 pts

Severity	File	Line	Context
LOW	ci/scripts/xtuner_unittest.py	31	CODE
LOW	ci/scripts/check_metric.py	15	CODE
LOW	ci/scripts/check_metric.py	69	CODE
LOW	tests/datasets/test_dataloader.py	42	CODE
LOW	tests/datasets/test_pack_config_from_pack_infos.py	28	CODE
LOW	tests/datasets/test_qwen3_vl_tokenize_fn.py	94	CODE
LOW	tests/datasets/test_qwen3_vl_tokenize_fn.py	135	CODE
LOW	tests/datasets/test_qwen3_vl_tokenize_fn.py	194	CODE
LOW	tests/datasets/test_qwen3_vl_tokenize_fn.py	217	CODE
LOW	tests/datasets/test_qwen3_vl_tokenize_fn.py	283	CODE
LOW	tests/datasets/test_qwen3_vl_tokenize_fn.py	372	CODE
LOW	tests/datasets/test_qwen35_vl_tokenize_fn.py	63	CODE
LOW	tests/datasets/test_qwen35_vl_tokenize_fn.py	103	CODE
LOW	tests/datasets/test_qwen35_vl_tokenize_fn.py	153	CODE
LOW	tests/datasets/test_qwen35_vl_tokenize_fn.py	219	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	23	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	54	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	179	CODE
LOW	tests/datasets/test_intern_vl_tokenize_fn.py	219	CODE
LOW	tests/optim/test_muon.py	229	CODE
LOW	tests/model/test_qwen3_vl.py	234	CODE
LOW	tests/model/test_gpt_oss_moe.py	168	CODE
LOW	tests/model/test_qwen3_dense.py	220	CODE
LOW	tests/model/test_model_init.py	51	CODE
LOW	tests/model/test_intern_s1.py	400	CODE
LOW	tests/model/test_qwen3_tile_embedding.py	183	CODE
LOW	tests/model/test_qwen3_5.py	313	CODE
LOW	tests/model/test_qwen3_moe.py	287	CODE
LOW	tests/model/test_qwen3_moe.py	359	CODE
LOW	tests/model/test_qwen3_moe.py	515	CODE
LOW	tests/model/test_qwen3_5_dense.py	373	CODE
LOW	tests/train/test_trainer.py	582	CODE
LOW	tests/profiler/qwen35_vl_determ.py	327	CODE
LOW	tests/rl/test_replay_buffer.py	361	CODE
LOW	tests/rl/test_qwen35_vl_moe_async_train_2step.py	340	CODE
LOW	autotest/cluster/clusterx.py	25	CODE
LOW	autotest/module/train.py	14	CODE
LOW	autotest/utils/metric_report.py	89	CODE
LOW	autotest/utils/resume_validation.py	35	CODE
LOW	autotest/utils/check_metric.py	28	CODE
LOW	autotest/utils/check_metric.py	42	CODE
LOW	autotest/utils/check_metric.py	59	CODE
LOW	autotest/utils/check_metric.py	159	CODE
LOW	autotest/utils/check_metric.py	245	CODE
LOW	.claude/skills/model_normalize/repack_hf.py	57	CODE
LOW	.claude/skills/model_normalize/repack_hf.py	111	CODE
LOW	.claude/skills/model_patch/model_patch.py	72	CODE
LOW	docs/design/redesign_disagg.py	827	CODE
LOW	examples/v1/config/reasoning_rl_qwen3p5vl_mtp_ep.py	261	CODE
LOW	examples/v1/config/agentic_rl_qwen3p5vl_mtp_ep_code.py	41	CODE
LOW	examples/demo_data/multi_turn_2/map_fn.py	2	CODE
LOW	.dev_scripts/convert_old_to_new_vlm_format.py	68	CODE
LOW	.dev_scripts/analyze_train_logs.py	104	CODE
LOW	xtuner/entry_point.py	276	CODE
LOW	xtuner/v1/data_proto/rl_data.py	256	CODE
LOW	xtuner/v1/data_proto/messages/qwen35_chat.py	48	CODE
LOW	xtuner/v1/data_proto/messages/qwen35_chat.py	134	CODE
LOW	xtuner/v1/data_proto/messages/qwen35_chat.py	316	CODE
LOW	xtuner/v1/data_proto/messages/chat.py	98	CODE
LOW	xtuner/v1/data_proto/messages/chat.py	118	CODE
167 more matches not shown…

Excessive Try-Catch Wrapping165 hits · 173 pts

Severity	File	Line	Snippet	Context
LOW	ci/scripts/xtuner_unittest.py	103	except Exception as e:	CODE
LOW	…erl_agent/sandbox_example/test_verl_tool_agent_loop.py	89	except Exception:	CODE
LOW	…cipe/verl_agent/sandbox_example/sandbox_grpo_config.py	158	except Exception:	CODE
LOW	recipe/verl_agent/common/agent_loop_verl_tool.py	129	except Exception as e:	CODE
LOW	tests/datasets/test_dataset.py	82	except Exception as e:	CODE
LOW	tests/engine/test_moe_train_engine_float8.py	390	except Exception:	CODE
LOW	tests/rl/test_replay_buffer.py	369	except Exception as exc:	CODE
LOW	tests/rl/test_rl_colocate_trainer.py	375	except Exception as exc:	CODE
LOW	autotest/cluster/clusterx.py	62	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	95	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	120	except Exception:	CODE
LOW	autotest/cluster/clusterx.py	128	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	142	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	150	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	171	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	183	except Exception as e:	CODE
LOW	autotest/utils/run_cmd.py	8	except Exception as e:	CODE
MEDIUM	autotest/utils/run_cmd.py	5	def run_cmd(command):	CODE
LOW	docs/design/sep_code_demo.py	771	except Exception:	CODE
LOW	.dev_scripts/extract_json_profile.py	18	except Exception as e:	CODE
LOW	xtuner/entry_point.py	331	except Exception as e:	STRING
LOW	xtuner/v1/data_proto/messages/qwen35_chat.py	301	except Exception:	CODE
LOW	xtuner/v1/datasets/vlm_jsonl.py	46	except Exception as e:	CODE
MEDIUM	xtuner/v1/datasets/vlm_jsonl.py	33	def __getitem__(self, item):	CODE
LOW	xtuner/v1/datasets/utils.py	226	except Exception: # https://github.com/facebookresearch/detectron2/issues/1885	CODE
LOW	xtuner/v1/datasets/packing.py	583	except Exception:	CODE
LOW	…/datasets/mllm_tokenize_fn/intern_s1_vl_tokenize_fn.py	212	except Exception as e:	CODE
LOW	…/datasets/mllm_tokenize_fn/intern_s1_vl_tokenize_fn.py	253	except Exception as e:	CODE
LOW	…/datasets/mllm_tokenize_fn/intern_s1_vl_tokenize_fn.py	376	except Exception as e:	CODE
LOW	xtuner/v1/datasets/mllm_tokenize_fn/qwen3_vl_utils.py	59	except Exception as e:	CODE
LOW	xtuner/v1/datasets/mllm_tokenize_fn/qwen3_vl_utils.py	153	except Exception as e:	CODE
LOW	…ner/v1/datasets/mllm_tokenize_fn/intern_s1_vl_utils.py	54	except Exception:	CODE
LOW	…r/v1/datasets/mllm_tokenize_fn/qwen3_vl_tokenize_fn.py	509	except Exception as e:	CODE
LOW	xtuner/v1/_writer/jsonl_writer.py	93	except Exception:	CODE
LOW	xtuner/v1/_writer/jsonl_writer.py	128	except Exception:	CODE
LOW	xtuner/v1/_writer/jsonl_writer.py	139	except Exception:	CODE
MEDIUM	xtuner/v1/_writer/jsonl_writer.py	88	def __del__(self):	CODE
LOW	xtuner/v1/utils/misc.py	147	except Exception as e:	CODE
LOW	xtuner/v1/utils/misc.py	240	except Exception as e:	CODE
LOW	xtuner/v1/utils/device.py	20	except Exception:	CODE
LOW	xtuner/v1/utils/track_rl_mem.py	469	except Exception:	CODE
LOW	xtuner/v1/utils/env_check.py	16	except Exception:	CODE
LOW	xtuner/v1/utils/executor.py	47	except Exception as exc: # noqa: BLE001	CODE
LOW	xtuner/v1/utils/executor.py	147	except Exception:	CODE
LOW⚡	xtuner/v1/patch/dcp_async_port.py	73	except Exception:	CODE
LOW	xtuner/v1/model/base.py	837	except Exception as exc:	CODE
LOW	xtuner/v1/model/compose/base.py	272	except Exception as exc:	CODE
LOW	xtuner/v1/model/compose/intern_s1/modeling_intern_s1.py	178	except Exception as e:	CODE
LOW	xtuner/v1/model/compose/qwen3_vl/modeling_qwen3_vl.py	176	except Exception as e:	CODE
LOW	xtuner/v1/train/trainer.py	1499	except Exception:	CODE
LOW	xtuner/v1/train/cli/rl.py	34	except Exception as exc:	CODE
LOW	xtuner/v1/engine/train_engine.py	471	except Exception:	CODE
LOW	xtuner/v1/engine/train_engine.py	475	except Exception:	CODE
MEDIUM	xtuner/v1/engine/train_engine.py	468	def __del__(self) -> None:	CODE
LOW	xtuner/v1/rl/weight_update/transport.py	205	except Exception:	CODE
LOW	xtuner/v1/rl/weight_update/transport.py	350	except Exception:	CODE
LOW	xtuner/v1/rl/weight_update/transport.py	523	except Exception as e:	CODE
LOW	xtuner/v1/rl/weight_update/transport.py	564	except Exception as e:	CODE
LOW⚡	xtuner/v1/rl/weight_update/transport.py	647	except Exception:	CODE
LOW	xtuner/v1/rl/weight_update/transport.py	830	except Exception as e:	CODE
105 more matches not shown…

Modern Structural Boilerplate103 hits · 104 pts

Severity	File	Line	Snippet	Context
LOW	ci/scripts/check_metric.py	12	logger = logging.getLogger(__name__)	CODE
LOW	tests/model/test_qwen3_vl_async_hf.py	20	def _set_hf_for_compose_submodules(model, hf_path: str \| Path) -> None:	CODE
LOW	autotest/utils/check_metric.py	11	logger = logging.getLogger(__name__)	CODE
LOW	docs/pygments_extension/__init__.py	6	__all__ = ['XTunerPythonLexer', 'XTunerDraculaStyle', 'XTunerEmacsStyle']	CODE
LOW	xtuner/registry.py	4	__all__ = ["BUILDER", "MAP_FUNC"]	CODE
LOW	xtuner/v1/data_proto/__init__.py	4	__all__ = [	CODE
LOW	xtuner/v1/data_proto/messages/__init__.py	7	__all__ = ["BaseMessages", "ChatMessages", "Qwen35ChatMessages"]	CODE
LOW	xtuner/v1/data_proto/templates/__init__.py	120	__all__ = ["ChatTemplate", "HybridChatTemplate"]	CODE
LOW	xtuner/v1/loss/__init__.py	17	__all__ = [	CODE
LOW	xtuner/v1/loss/moe_loss.py	304	def _update_running(self, value: torch.Tensor) -> None:	CODE
LOW	xtuner/v1/config/__init__.py	6	__all__ = [	CODE
LOW	xtuner/v1/float8/__init__.py	6	__all__ = [	CODE
LOW	xtuner/v1/float8/triton_kernels/__init__.py	28	__all__ = [	CODE
LOW	xtuner/v1/module/__init__.py	25	__all__ = [	CODE
LOW	xtuner/v1/module/attention/__init__.py	8	__all__ = [	CODE
LOW	xtuner/v1/module/rms_norm/__init__.py	4	__all__ = ["RMSNorm"]	CODE
LOW	xtuner/v1/module/dispatcher/__init__.py	82	__all__ = [	CODE
LOW	xtuner/v1/module/rope/__init__.py	11	__all__ = [	CODE
LOW	xtuner/v1/module/mtp/__init__.py	7	__all__ = ["MTPConfig", "MTPBlock", "MTPLayer", "roll_packed_tensor", "roll_sequence_context"]	CODE
LOW	xtuner/v1/module/router/__init__.py	6	__all__ = [	CODE
LOW	xtuner/v1/datasets/build.py	4	__all__ = [	CODE
LOW	xtuner/v1/datasets/preset_sampler.py	170	def set_epoch(self, epoch: int) -> None:	CODE
LOW	xtuner/v1/datasets/__init__.py	38	__all__ = [	CODE
LOW	xtuner/v1/datasets/dataloader.py	121	def set_epoch(self, epoch: int) -> None:	CODE
LOW	xtuner/v1/datasets/sampler.py	122	def set_epoch(self, epoch: int) -> None:	CODE
LOW	xtuner/v1/datasets/sampler.py	266	def set_epoch(self, epoch: int) -> None:	CODE
LOW	xtuner/v1/datasets/mllm_tokenize_fn/__init__.py	6	__all__ = [	CODE
LOW	xtuner/v1/datasets/pt_tokenize_fn/__init__.py	5	__all__ = [	CODE
LOW	xtuner/v1/datasets/rl_tokenize_fn/__init__.py	5	__all__ = ["RLTextTokenizeFnConfig", "RLQwen3VLTokenizeFnConfig"]	CODE
LOW	xtuner/v1/_writer/__init__.py	45	__all__ = ["JsonlWriter", "TensorboardWriter"]	CODE
LOW	xtuner/v1/optim/__init__.py	5	__all__ = ["Muon", "SwapAdamW"]	CODE
LOW	xtuner/v1/utils/__init__.py	32	__all__ = [	CODE
LOW⚡	xtuner/v1/utils/process.py	37	def set_async_save_process_qos() -> None:	CODE
LOW⚡	xtuner/v1/utils/process.py	44	def set_process_qos(cpu_priority: int \| None, io_priority: int \| None) -> None:	CODE
LOW	xtuner/v1/patch/__init__.py	6	__all__ = [	CODE
LOW	xtuner/v1/patch/xtuner_storage.py	25	logger = logging.getLogger(__name__)	CODE
LOW	xtuner/v1/model/__init__.py	70	__all__ = [	CODE
LOW	xtuner/v1/model/compose/intern_s1/__init__.py	13	__all__ = [	CODE
LOW	xtuner/v1/model/compose/qwen3_5/__init__.py	4	__all__ = [	CODE
LOW	xtuner/v1/model/compose/internvl/__init__.py	14	__all__ = [	CODE
LOW	xtuner/v1/model/compose/qwen3_vl/__init__.py	5	__all__ = [	CODE
LOW	xtuner/v1/model/utils/__init__.py	5	__all__ = ["checkpoint_wrapper", "module_dict_repr", "ModelForwardExtraLogInfo"]	CODE
LOW	xtuner/v1/train/__init__.py	5	__all__ = ["Trainer", "TrainerConfig", "UTF8ByteTokenizer", "ResumeConfig", "LoadCheckpointConfig"]	CODE
LOW	xtuner/v1/ops/__init__.py	4	__all__ = ["all_to_all_single_autograd", "ulysses_all_to_all"]	CODE
LOW	xtuner/v1/ops/comm/__init__.py	5	__all__ = ["all_to_all_single_autograd", "ulysses_all_to_all", "split_for_sequence_parallel"]	CODE
LOW	xtuner/v1/ops/moe/cuda/triton_kernels/__init__.py	30	__all__ = ["k_grouped_gemm", "m_grouped_gemm"]	CODE
LOW	xtuner/v1/profiler/__init__.py	23	__all__ = [	CODE
LOW	xtuner/v1/engine/__init__.py	6	__all__ = [	CODE
LOW	xtuner/v1/rl/advantage/__init__.py	16	__all__ = [	CODE
LOW	xtuner/v1/rl/weight_update/update_weighter.py	81	def _set_transport(self) -> None:	CODE
LOW	xtuner/v1/rl/weight_update/__init__.py	23	__all__ = [	CODE
LOW	xtuner/v1/rl/utils/__init__.py	67	__all__ = [	CODE
LOW	xtuner/v1/rl/utils/ray_cpu_worker.py	612	def set_cpu_resource_manager(manager: CPUResourceManager \| None) -> None:	CODE
LOW	xtuner/v1/rl/agent_loop/__init__.py	14	__all__ = [	CODE
LOW	xtuner/v1/rl/agent_loop/sandbox_agent_loop/__init__.py	51	__all__ = [	CODE
LOW	xtuner/v1/rl/agent_loop/sandbox_agent_loop/schemas.py	257	__all__ = [	CODE
LOW	xtuner/v1/rl/agent_loop/sandbox_agent_loop/judger.py	64	__all__ = ["Judger"]	CODE
LOW	…ner/v1/rl/agent_loop/localhost_agent_loop/local_run.py	172	__all__ = ["main", "main_async"]	CODE
LOW	xtuner/v1/rl/agent_loop/localhost_agent_loop/runner.py	123	__all__ = ["LocalhostRunner"]	CODE
LOW	xtuner/v1/rl/agent_loop/localhost_agent_loop/compose.py	72	__all__ = ["LocalhostComposeStage"]	CODE
43 more matches not shown…

AI Structural Patterns94 hits · 93 pts

Severity	File	Line	Context
LOW	tests/rl/test_replay_buffer.py	39	CODE
LOW	tests/rl/test_prepare_train_data.py	43	CODE
LOW	xtuner/v1/data_proto/sequence_context.py	59	CODE
LOW	xtuner/v1/data_proto/utils.py	129	CODE
LOW	xtuner/v1/loss/liger_with_weights.py	24	CODE
LOW	xtuner/v1/loss/liger_with_weights.py	211	CODE
LOW	xtuner/v1/float8/float8_gmm_tile_wise.py	297	CODE
LOW	xtuner/v1/module/attention/mla.py	177	CODE
LOW	xtuner/v1/module/attention/mha.py	115	CODE
LOW	xtuner/v1/module/dispatcher/deepep.py	347	CODE
LOW	xtuner/v1/module/decoder_layer/moe_decoder_layer.py	190	CODE
LOW	xtuner/v1/module/decoder_layer/moe_decoder_layer.py	196	CODE
LOW	xtuner/v1/module/decoder_layer/dense_decoder_layer.py	39	CODE
LOW	xtuner/v1/datasets/ftdp.py	770	CODE
LOW	xtuner/v1/datasets/jsonl.py	263	CODE
LOW	…/datasets/mllm_tokenize_fn/intern_s1_vl_tokenize_fn.py	72	CODE
LOW	…/datasets/mllm_tokenize_fn/intern_s1_vl_tokenize_fn.py	203	CODE
LOW	…/datasets/mllm_tokenize_fn/intern_s1_vl_tokenize_fn.py	340	CODE
LOW	…/datasets/mllm_tokenize_fn/intern_s1_vl_tokenize_fn.py	466	CODE
LOW	…/v1/datasets/mllm_tokenize_fn/base_mllm_tokenize_fn.py	139	CODE
LOW	…r/v1/datasets/mllm_tokenize_fn/qwen3_vl_tokenize_fn.py	276	CODE
LOW	…r/v1/datasets/mllm_tokenize_fn/qwen3_vl_tokenize_fn.py	500	CODE
LOW	…r/v1/datasets/mllm_tokenize_fn/qwen3_vl_tokenize_fn.py	652	CODE
LOW	…r/v1/datasets/mllm_tokenize_fn/qwen3_vl_tokenize_fn.py	1048	CODE
LOW	xtuner/v1/datasets/pt_tokenize_fn/long_text.py	28	CODE
LOW	xtuner/v1/optim/muon.py	280	CODE
LOW	xtuner/v1/optim/swap_adamw.py	23	CODE
LOW	xtuner/v1/utils/convert_gsm8k.py	59	CODE
LOW	xtuner/v1/utils/convert_geometry3k.py	81	CODE
LOW	xtuner/v1/utils/convert_gsm8k_with_tool.py	76	CODE
LOW	xtuner/v1/patch/xtuner_storage.py	149	CODE
LOW	xtuner/v1/model/base.py	1342	CODE
LOW	xtuner/v1/train/trainer.py	521	CODE
LOW	xtuner/v1/ops/tensor_parallel/npu.py	351	CODE
LOW	xtuner/v1/ops/tensor_parallel/npu.py	169	CODE
LOW	xtuner/v1/ops/tensor_parallel/npu.py	282	CODE
LOW	xtuner/v1/ops/tensor_parallel/cuda.py	24	CODE
LOW	xtuner/v1/ops/rms_norm/gpu.py	108	CODE
LOW	xtuner/v1/ops/rms_norm/gpu.py	164	CODE
LOW	xtuner/v1/ops/rms_norm/gpu.py	346	CODE
LOW	xtuner/v1/ops/rms_norm/gpu.py	412	CODE
LOW	xtuner/v1/ops/rms_norm/gpu.py	696	CODE
LOW	xtuner/v1/ops/rms_norm/gpu.py	756	CODE
LOW	xtuner/v1/ops/rms_norm/gpu.py	1046	CODE
LOW	xtuner/v1/ops/rms_norm/gpu.py	1088	CODE
LOW	xtuner/v1/ops/rms_norm/gpu.py	893	CODE
LOW	xtuner/v1/ops/comm/all_to_all.py	51	CODE
LOW	xtuner/v1/ops/comm/sequence_parallel.py	30	CODE
LOW	xtuner/v1/ops/gated_deltanet/chunk_gated_delta_rule.py	279	CODE
LOW	xtuner/v1/ops/gated_deltanet/rms_norm_gated.py	75	CODE
LOW	xtuner/v1/ops/gated_deltanet/rms_norm_gated.py	109	CODE
LOW	xtuner/v1/ops/moe/npu/group_gemm.py	10	CODE
LOW	xtuner/v1/ops/flash_attn/protocol.py	26	CODE
LOW	xtuner/v1/ops/flash_attn/protocol.py	5	CODE
LOW	xtuner/v1/ops/flash_attn/npu.py	5	CODE
LOW	xtuner/v1/ops/flash_attn/gpu.py	248	CODE
LOW	xtuner/v1/ops/flash_attn/gpu.py	292	CODE
LOW	xtuner/v1/ops/flash_attn/gpu.py	487	CODE
LOW	xtuner/v1/ops/flash_attn/gpu.py	536	CODE
LOW	xtuner/v1/engine/train_engine.py	191	CODE
34 more matches not shown…

Docstring Block Structure10 hits · 50 pts

Severity	File	Line	Snippet	Context
HIGH	…ner/v1/float8/triton_kernels/per_block_dequant_gemm.py	38	Dequantizes the given weight tensor using the provided scale tensor. Args: x (torch.Tensor): The quantized	STRING
HIGH	xtuner/v1/utils/misc.py	89	Calculate the padding length needed to make the input length divisible by divisors. Args: length: The i	STRING
HIGH	xtuner/v1/model/base.py	161	Build a `TransformerConfig` from a pre-trained HuggingFace model. This method creates a configuration object ba	STRING
HIGH	xtuner/v1/train/toy_tokenizer.py	114	Decode a sequence of token IDs back to text. Converts byte-level token IDs back to UTF-8 text. Special tokens a	STRING
HIGH	xtuner/v1/ops/gated_deltanet/chunk_gated_delta_rule.py	297	Args: q (torch.Tensor): queries of shape `[B, T, H, K]`. k (torch.Tensor):	STRING
HIGH	xtuner/v1/rl/utils/ray_accelerator_worker.py	312	Determine the type of accelerator used in a PlacementGroup. Args: pg (PlacementGroup): The placemen	STRING
HIGH	xtuner/v1/rl/utils/ray_accelerator_worker.py	336	Provide a dictionary of resource requests for Ray tasks or actors that need to be scheduled on a node with a spe	STRING
HIGH	xtuner/v1/rl/utils/ray_accelerator_worker.py	363	Get SPMD (Single Program, Multiple Data) info from the placement group. This includes the sorted bundle	STRING
HIGH	xtuner/v1/rl/rollout/trace_store.py	318	Export the stored training trace given a complete prompt text. Args: session_id (str): The session	STRING
HIGH	xtuner/parallel/sequence/comm.py	72	Convenience function to apply the all-to-all operation with scatter and gather dimensions. Notes: We ha	STRING

Self-Referential Comments13 hits · 40 pts

Severity	File	Line	Snippet	Context
MEDIUM	tests/train/test_trainer.py	76	# Create a fake model file	COMMENT
MEDIUM	tests/train/test_trainer.py	79	# Create a fake config file	COMMENT
MEDIUM	tests/engine/test_moe_train_engine_float8.py	376	# Create a fresh engine that has never run a training step, then call	COMMENT
MEDIUM	tests/rl/test_cpu_pg.py	102	# Create a receiver worker	COMMENT
MEDIUM	xtuner/v1/datasets/packing.py	512	# Create a single dedicated process group with a generous timeout for	COMMENT
MEDIUM	…r/v1/datasets/mllm_tokenize_fn/intern_s1_vl_process.py	42	# Define the JPEG compression quality range, pre-create all JPEG compression functions	COMMENT
MEDIUM	xtuner/v1/optim/muon.py	4	# This file is developed based on and inspired by the following projects:	COMMENT
MEDIUM	xtuner/v1/utils/compile.py	63	# Create a singleton instance	COMMENT
MEDIUM	xtuner/v1/model/base.py	357	# This method is for compatibility with transformers 5.x rope_utils	COMMENT
MEDIUM⚡	…er/v1/ops/flash_attn/flash_sink_varlen_attn_gpt_oss.py	6	# This file contains code originally written by Wenhao Li.	COMMENT
MEDIUM	xtuner/v1/profiler/prober_utils.py	1	# This file is separated from prober.py to avoid circular import.	COMMENT
MEDIUM⚡	xtuner/v1/rl/weight_update/transport.py	633	# Create a Gloo process group for synchronization during NCCL weight update.	COMMENT
MEDIUM	xtuner/utils/rm_utils.py	10	"""This class is used to process the input sequences for the reward	STRING

Over-Commented Block35 hits · 35 pts

Severity	File	Line	Snippet	Context
LOW	ci/config/qwen3_5_dense4B.py	1	# Smoke SFT config for Qwen3.5-VL Dense 4B's text tower — drives the full	COMMENT
LOW	tests/model/test_qwen3_5_dense.py	261	self.assertEqual(loss_diff, 0.0, f"VL loss not bitwise-equal: {loss_diff}")	COMMENT
LOW	tests/rl/test_replay_buffer.py	1	# 当前 ReplayBuffer PR-fast 单测覆盖点：	COMMENT
LOW	autotest/config.yaml	301	# - GPTOSS_21B_PATH=/mnt/shared-storage-user/llmrazor-share/model/gpt-oss-20b-bf16	COMMENT
LOW	docs/en/switch_language.md	1	## <a href='https://xtuner.readthedocs.io/en/latest/'>English</a>	COMMENT
LOW	docs/en/pretrain_sft/tutorial/resume.md	1	# Automatic Resume Training	COMMENT
LOW	.dev_scripts/debug_rl_snapshot.sh	1	#!/usr/bin/env bash	COMMENT
LOW	.dev_scripts/debug_rl_snapshot.sh	21	# WORK_DIR=/path/to/ray/work_dir OUT_ROOT=/path/to/debug_output \	COMMENT
LOW	xtuner/__init__.py	1	# # Copyright (c) OpenMMLab. All rights reserved.	COMMENT
LOW	xtuner/__init__.py	21	# patch_deepspeed_engine()	COMMENT
LOW	xtuner/v1/data_proto/sequence_context.py	501	self.position_ids = self.position_ids.to(device) # type: ignore	COMMENT
LOW	xtuner/v1/loss/base_loss_ctx.py	21	# There are 3 steps to compute the calibrated loss:	COMMENT
LOW	xtuner/v1/float8/triton_kernels/trans_quant_per_tile.py	221	# m_aligned = (m + 127) // 128 * 128	COMMENT
LOW	xtuner/v1/module/decoder_layer/moe_decoder_layer.py	401	pre_dispatched=pre_dispatched,	COMMENT
LOW	xtuner/v1/datasets/jsonl.py	321	if not os.path.exists(_cached_file):	COMMENT
LOW	xtuner/v1/datasets/jsonl.py	341	# "tags": {	COMMENT
LOW	xtuner/v1/optim/muon.py	1	# ================================================================	COMMENT
LOW	xtuner/v1/model/base.py	661	# MoE._replicate_other_params on ep_mesh before _fully_shard	COMMENT
LOW	xtuner/v1/model/base.py	1001	# TODO: HardCode here. The initialization method should be module specific. All module in model	COMMENT
LOW	xtuner/v1/model/base.py	1021	#	COMMENT
LOW	xtuner/v1/model/moe/moe.py	601	# MTP routed experts feed the same balancing / z aux loss as the main MoE layers	COMMENT
LOW	xtuner/v1/model/moe/moe.py	1241	)	COMMENT
LOW	xtuner/v1/rl/rollout_is.py	1	# modified from https://github.com/volcengine/verl/blob/main/verl/trainer/ppo/mismatch_helper.py	COMMENT
LOW	xtuner/v1/rl/agent_loop/sandbox_agent_loop/trace.py	321	fp.write(line + "\n")	COMMENT
LOW	xtuner/tools/llm_calc/llm_calculator.py	441	# core attn的计算	COMMENT
LOW	xtuner/tools/llm_calc/llm_calculator.py	641	print(f"Total_params_num: {self.params_num / 10243} B, embed_params_num: {self.embed_params_num / 10243} B,	COMMENT
LOW	xtuner/tools/llm_calc/llm_calculator.py	661		COMMENT
LOW	…erters/modeling_internlm2_reward/modeling_internlm2.py	1	# Copyright (c) The InternLM team and The HuggingFace Inc. team. All rights reserved.	COMMENT
LOW	…s/modeling_internlm2_reward/configuration_internlm2.py	1	# coding=utf-8	COMMENT
LOW	xtuner/dataset/refcoco_json.py	261	self.data["categories"] = instances["categories"]	COMMENT
LOW	…del/polar/POLAR_1_8B_full_varlenattn_custom_dataset.py	81	type=AutoModel.from_pretrained,	COMMENT
LOW	…model/polar/POLAR_7B_full_varlenattn_custom_dataset.py	81	type=AutoModel.from_pretrained,	COMMENT
LOW	…l/transformers_models/mixtral/configuration_mixtral.py	1	# Copyright 2023 Mixtral AI and the HuggingFace Inc. team. All rights reserved.	COMMENT
LOW	…l/transformers_models/deepseek_v2/modeling_deepseek.py	1	# Copyright 2023 DeepSeek-AI and The HuggingFace Inc. team. All rights reserved.	COMMENT
LOW	xtuner/engine/hooks/throughput_hook.py	121	# qkv_proj + o_proj: 8B * s * h^2	COMMENT

AI Slop Vocabulary15 hits · 32 pts

Severity	File	Line	Snippet	Context
MEDIUM	xtuner/v1/module/dispatcher/torch_all2all.py	33	# 1. (preprocess) Sort the hidden states along the expert dimension (permute) to facilitate torch all2all, and record th	COMMENT
LOW	xtuner/v1/utils/httpx_utils.py	52	# For simplicity here, we'll just return the known ones or fall back.	COMMENT
MEDIUM	xtuner/v1/model/compose/qwen3_vl/modeling_qwen3_vl.py	165	# To simplify and facilitate the processing of deepstack_visual_embeds inside language_model,	COMMENT
LOW	xtuner/v1/ops/gated_deltanet/causal_conv1d.py	204	# Here we just pass in None and dx will be allocated in the C++ code.	COMMENT
MEDIUM⚡	xtuner/v1/rl/rollout_is.py	274	# Step 2: Compute comprehensive metrics	COMMENT
MEDIUM	xtuner/v1/rl/rollout_is.py	361	"""Compute comprehensive metrics for importance sampling weights.	STRING
LOW	xtuner/utils/zero_to_any_dtype.py	206	# for non-expert parameters. So we can just use the max of the	COMMENT
MEDIUM	…r/configs/minicpm/minicpm3_4b/minicpm3_4b_dpo_qlora.py	37	dpo_loss_type = "sigmoid" # One of ['sigmoid', 'hinge', 'ipo', 'kto_pair', 'sppo_hard', 'nca_pair', 'robust'] # noqa:	CODE
MEDIUM	xtuner/configs/minicpm/1_2b/minicpm_1b_dpo_qlora.py	37	dpo_loss_type = "sigmoid" # One of ['sigmoid', 'hinge', 'ipo', 'kto_pair', 'sppo_hard', 'nca_pair', 'robust'] # noqa:	CODE
MEDIUM	xtuner/configs/minicpm/2b/minicpm_2b_dpo_qlora.py	37	dpo_loss_type = "sigmoid" # One of ['sigmoid', 'hinge', 'ipo', 'kto_pair', 'sppo_hard', 'nca_pair', 'robust'] # noqa:	CODE
MEDIUM	…dpo/internlm/internlm2_chat_7b_dpo_qlora_varlenattn.py	38	dpo_loss_type = "sigmoid" # One of ['sigmoid', 'hinge', 'ipo', 'kto_pair', 'sppo_hard', 'nca_pair', 'robust'] # noqa:	CODE
MEDIUM	…r/configs/dpo/internlm/internlm2_chat_1_8b_dpo_full.py	35	dpo_loss_type = "sigmoid" # One of ['sigmoid', 'hinge', 'ipo', 'kto_pair', 'sppo_hard', 'nca_pair', 'robust'] # noqa:	CODE
MEDIUM	…po/internlm/internlm2_chat_1_8b_dpo_full_varlenattn.py	36	dpo_loss_type = "sigmoid" # One of ['sigmoid', 'hinge', 'ipo', 'kto_pair', 'sppo_hard', 'nca_pair', 'robust'] # noqa:	CODE
MEDIUM	…ternlm2_chat_1_8b_dpo_full_varlenattn_jsonl_dataset.py	35	dpo_loss_type = "sigmoid" # One of ['sigmoid', 'hinge', 'ipo', 'kto_pair', 'sppo_hard', 'nca_pair', 'robust'] # noqa:	CODE
MEDIUM	…s/dpo/llama/llama3_8b_instruct_dpo_qlora_varlenattn.py	38	dpo_loss_type = "sigmoid" # One of ['sigmoid', 'hinge', 'ipo', 'kto_pair', 'sppo_hard', 'nca_pair', 'robust'] # noqa:	CODE

Modern AI Meta-Vocabulary12 hits · 30 pts

Severity	File	Line	Snippet	Context
MEDIUM⚡	tests/model/test_qwen3_5_dense.py	274	# Whole-model bitwise parity that runs the real `compose.forward` / `Dense.forward` orchestration	COMMENT
MEDIUM⚡	tests/model/test_qwen3_5_dense.py	280	# layer present — it only needs the forward orchestration to run end-to-end. N=4 covers both	COMMENT
MEDIUM	xtuner/v1/train/rl_trainer.py	1047	# session_id is only set by agentic loops / XTUNER_DETERMINISTIC; plain RL falls back	COMMENT
MEDIUM	xtuner/v1/ops/flash_attn/protocol.py	17	window_size=(-1, -1), # -1 means infinite context window	CODE
MEDIUM	xtuner/v1/ops/flash_attn/gpu.py	29	window_size_left: int = -1, # -1 means infinite context window	CODE
MEDIUM	xtuner/v1/ops/flash_attn/gpu.py	82	window_size_left: int = -1, # -1 means infinite context window	CODE
MEDIUM	xtuner/v1/ops/flash_attn/gpu.py	111	window_size_left: int = -1, # -1 means infinite context window	CODE
MEDIUM	xtuner/v1/ops/flash_attn/gpu.py	158	window_size_left: int = -1, # -1 means infinite context window	CODE
MEDIUM	xtuner/v1/ops/flash_attn/gpu.py	303	window_size=(-1, -1), # -1 means infinite context window	CODE
MEDIUM	xtuner/model/modules/dispatch/attention.py	25	window_size=(-1, -1), # -1 means infinite context window	CODE
MEDIUM	xtuner/model/modules/dispatch/attention.py	48	window_size=(-1, -1), # -1 means infinite context window	CODE
MEDIUM	xtuner/model/modules/dispatch/attention.py	89	window_size=(-1, -1), # -1 means infinite context window	CODE

Hallucination Indicators2 hits · 20 pts

Severity	File	Line	Snippet	Context
CRITICAL	tests/model/test_qwen3_tile_embedding.py	167	embedding_weight = engine.model.language_model.embed_tokens.weight.full_tensor().mean().item()	CODE
CRITICAL	tests/model/test_qwen3_tile_embedding.py	168	lm_head_weight = engine.model.language_model.lm_head.weight.full_tensor().mean().item()	CODE

Cross-Language Confusion3 hits · 12 pts

Severity	File	Line	Snippet	Context
HIGH	xtuner/v1/rl/rollout_is.py	493	- mismatch_kl: Direct KL divergence estimator KL(π_rollout \|\| π_training)	STRING
HIGH	xtuner/v1/rl/agent_loop/sandbox_agent_loop/hooks.py	179	f'test -d "{remote_path}" && echo DIR \|\| echo FILE',	CODE
HIGH	xtuner/v1/rl/agent_loop/sandbox_agent_loop/hooks.py	326	"cd /tmp && tar xzf /tmp/_lagent.tar.gz && rm /tmp/_lagent.tar.gz",	CODE

Redundant / Tautological Comments8 hits · 12 pts

Severity	File	Line	Snippet	Context
LOW	xtuner/v1/datasets/_hardcode_patch.py	94	# Check if buffer matches skip_seq	COMMENT
LOW	xtuner/v1/datasets/_hardcode_patch.py	100	# Check if buffer is still a valid prefix	COMMENT
LOW	xtuner/v1/datasets/_hardcode_patch.py	117	# Check if current token starts a new potential match	COMMENT
LOW	xtuner/v1/datasets/_hardcode_patch.py	128	# Check if the remaining buffer is exactly <think></think>	COMMENT
LOW	xtuner/v1/optim/muon.py	388	# Increment step	COMMENT
LOW	xtuner/v1/utils/test_utils.py	28	# Check if the shapes of the tensors match	COMMENT
LOW	xtuner/v1/utils/test_utils.py	60	# Check if all elements are close	COMMENT
LOW	xtuner/v1/rl/rollout_is.py	256	# Check if any token ratio is below veto threshold (in log space)	COMMENT

Synthetic Comment Markers2 hits · 10 pts

Severity	File	Line	Snippet	Context
HIGH	.claude/CLAUDE.md	61	4. Never include metadata or watermarks unrelated to the code itself, such as "generated by AI" or "Co-Authored-By:	CODE
HIGH	.codex/AGENTS.md	61	4. Never include metadata or watermarks unrelated to the code itself, such as "generated by AI" or "Co-Authored-By:	CODE

Verbosity Indicators6 hits · 10 pts

Severity	File	Line	Snippet	Context
LOW	tests/datasets/test_preset_dataloader.py	287	# Step 1: jsonl	COMMENT
LOW	tests/datasets/test_preset_dataloader.py	309	# Step 2: pack config	COMMENT
LOW	tests/datasets/test_preset_dataloader.py	344	# Step 3: sampler config	COMMENT
LOW	xtuner/v1/rl/rollout_is.py	207	# Step 1: Compute raw importance weights based on the specified level	COMMENT
LOW⚡	xtuner/v1/rl/rollout_is.py	274	# Step 2: Compute comprehensive metrics	COMMENT
LOW	xtuner/v1/rl/rollout_is.py	289	# Step 3: Apply outlier handling and rejection sampling	COMMENT

Structural Annotation Overuse6 hits · 10 pts

Severity	File	Line	Snippet	Context
LOW	tests/datasets/test_preset_dataloader.py	287	# Step 1: jsonl	COMMENT
LOW	tests/datasets/test_preset_dataloader.py	309	# Step 2: pack config	COMMENT
LOW	tests/datasets/test_preset_dataloader.py	344	# Step 3: sampler config	COMMENT
LOW	xtuner/v1/rl/rollout_is.py	207	# Step 1: Compute raw importance weights based on the specified level	COMMENT
LOW⚡	xtuner/v1/rl/rollout_is.py	274	# Step 2: Compute comprehensive metrics	COMMENT
LOW	xtuner/v1/rl/rollout_is.py	289	# Step 3: Apply outlier handling and rejection sampling	COMMENT

Slop Phrases3 hits · 6 pts

Severity	File	Line	Snippet	Context
MEDIUM	xtuner/tools/tokenize_ftdp_datasets.py	320	# 500 is a magic number, you can change it to any number you want	COMMENT
LOW	…/model/transformers_models/mixtral/modeling_mixtral.py	794	# the current expert. We need to make sure to multiply the output hidden	COMMENT
LOW	…/model/transformers_models/mixtral/modeling_mixtral.py	1437	loss += self.router_aux_loss_coef * aux_loss.to(loss.device) # make sure to reside in the same device	CODE

Example Usage Blocks3 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	.github/gh.sh	7	# Usage:	COMMENT
LOW	xtuner/v1/float8/triton_kernels/trans_quant_per_tile.py	281	# Example usage	COMMENT
LOW	xtuner/utils/rm_utils.py	224	# Example usage	COMMENT

Overly Generic Function Names2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	autotest/cluster/clusterx.py	25	def execute_task(self, task_config: Dict[str, Any]):	CODE
LOW	xtuner/dataset/moss_sft.py	121	def process_data(self):	CODE

Fake / Example Data2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	xtuner/v1/datasets/vlm_jsonl.py	25	self.fake_data = {	CODE
LOW	xtuner/v1/datasets/vlm_jsonl.py	48	data = self.tokenize_fn(self.fake_data)	CODE

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings