InternLM/xtuner

12.4

Adjusted Score

12.4

Raw Score

100%

Time Factor

2026-08-28

Last Push

5.2K

Stars

Python

Language

338.4K

Lines of Code

1.6K

Files

3.0K

Pattern Hits

2026-08-29

Scan Date

0.11

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

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

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 174MEDIUM 202LOW 2662

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 3040 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.

Hyper-Verbose Identifiers1036 hits · 1050 pts

Severity	File	Line	Snippet	Context
LOW	recipe/trace/viewer/server.py	47	def normalize_jaeger_query_url(jaeger_query_url: str \| None) -> str \| None:	CODE
LOW	recipe/trace/viewer/server.py	125	def fetch_rollout_view_payload_from_trace_jsonl(	CODE
LOW	recipe/trace/viewer/server.py	150	def start_rollout_trace_viewer(	CODE
LOW	recipe/trace/viewer/render.py	10	def render_rollout_trace_html(	CODE
LOW	recipe/trace/viewer/payload.py	36	def build_rollout_view_payload_from_jaeger_traces(	CODE
LOW	recipe/trace/viewer/payload.py	174	def load_jaeger_traces_from_otel_jsonl(trace_jsonl_path: Path \| str) -> list[dict[str, Any]]:	CODE
LOW	recipe/trace/viewer/payload.py	261	def _jaeger_traces_from_json_record(record: dict[str, Any], *, context: str) -> list[dict[str, Any]] \| None:	CODE
LOW	recipe/trace/viewer/payload.py	289	def _otel_span_to_jaeger_span(	CODE
LOW	recipe/trace/viewer/payload.py	356	def _otel_any_value_to_python(value: Any) -> Any:	CODE
LOW	recipe/trace/viewer/payload.py	420	def _has_finished_sample_root_span(spans: list[dict[str, Any]]) -> bool:	CODE
LOW	recipe/trace/viewer/payload.py	457	def _running_display_path_names(spans: list[dict[str, Any]]) -> list[str]:	CODE
LOW	recipe/trace/viewer/payload.py	537	def filter_rollout_view_payload_by_train_step(payload: dict[str, Any], train_step: Any = "latest") -> dict[str, Any]:	CODE
LOW	recipe/trace/viewer/payload.py	587	def _build_stage_duration_summaries(samples: list[dict[str, Any]]) -> list[dict[str, Any]]:	CODE
LOW	recipe/trace/viewer/payload.py	650	def _summarize_raw_span_durations(raw_durations: dict[str, list[float]]) -> list[dict[str, Any]]:	CODE
LOW	recipe/trace/viewer/payload.py	703	def _apply_sample_reward_filter(sample: dict[str, Any]) -> None:	CODE
LOW	recipe/trace/viewer/payload.py	796	def _stage_from_span_name_and_attributes(span_name: str, attributes: dict[str, Any] \| None = None) -> str:	CODE
LOW	recipe/trace/viewer/payload.py	958	def _normalize_jaeger_query_url(jaeger_query_url: str \| None) -> str \| None:	CODE
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/loss/test_aux_loss.py	49	def test_grouped_router_assignments_are_counted(self):	CODE
LOW	tests/loss/test_aux_loss.py	71	def test_rollout_assignments_are_counted(self):	CODE
LOW	tests/float8/triton_kernels/test_import.py	23	def test_cpu_actor_triton_kernels_import(self):	CODE
LOW	tests/module/test_grouped_linear.py	27	def test_grouped_gemm_switch_selects_implementation(	CODE
LOW	tests/module/test_dense_decoder_layer.py	59	def test_batched_inputs_match_independent_forwards(self):	CODE
LOW	tests/module/test_rope.py	33	def test_fope_init_sin_coef_same(self):	CODE
LOW	tests/module/attention/test_dsa_mla.py	47	def _tilelang_sparse_mla_available() -> bool:	CODE
LOW	tests/module/attention/test_dsa_mla.py	61	def _cudnn_dsa_sparse_mla_available() -> bool:	CODE
LOW	tests/module/attention/test_dsa_mla.py	86	def _tilelang_sparse_mla_inputs():	CODE
LOW	tests/module/attention/test_dsa_mla.py	94	def _cudnn_dsa_sparse_mla_inputs():	CODE
LOW	tests/module/attention/test_dsa_mla.py	170	def test_packed_inputs_respect_causal_boundaries_and_backward(self):	CODE
LOW	tests/module/attention/test_dsa_mla.py	195	def test_shared_layers_reuse_topk_without_cross_context_leak(self):	CODE
LOW	tests/module/attention/test_dsa_mla.py	215	def test_reentrant_checkpoint_reuses_and_releases_topk(self):	CODE
LOW	tests/module/attention/test_dsa_mla.py	243	def test_packed_attention_matches_full_sequence(self):	CODE
LOW	tests/module/attention/test_dsa_mla.py	297	def test_tilelang_indexer_matches_torch(self):	CODE
LOW	tests/module/attention/test_dsa_mla.py	338	def test_cudnn_local_query_global_kv_matches_full_sequence(self):	CODE
LOW	tests/module/attention/test_dsa_mla.py	391	def test_tilelang_forward_backward_matches_torch(self):	CODE
LOW	tests/module/attention/test_dsa_mla.py	422	def test_compiled_cudnn_backward_matches_tilelang(self):	CODE
LOW	tests/module/dispatcher/test_agrs_all2all.py	24	def test_dispatch_and_combine(self, dtype, device):	CODE
LOW	…dule/dispatcher/test_torch_all2all_shared_expert_tp.py	101	def _record_shared_expert_tp_stages(dispatcher: TorchAll2AllDispatcher) -> dict[str, list[str \| int]]:	CODE
LOW	…dule/dispatcher/test_torch_all2all_shared_expert_tp.py	156	def _assert_shared_expert_tp_async_stages(	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/module/dispatcher/test_noep_expert_tp.py	89	def test_sync_path_uses_real_tp_collectives(self) -> None:	CODE
LOW	tests/module/dispatcher/test_noep_expert_tp.py	144	def test_async_path_exposes_events_at_stage_boundaries(self) -> None:	CODE
LOW	tests/module/dispatcher/test_noep_expert_tp.py	246	def test_async_sync_path_matches_output_and_gradients(self) -> None:	CODE
LOW	tests/module/dispatcher/test_deepep_expert_tp.py	42	def test_sync_virtual_expert_path_preserves_output_and_gradients(self) -> None:	CODE
LOW	tests/module/dispatcher/test_deepep_expert_tp.py	131	def test_async_path_matches_sync_output_and_gradients(self) -> None:	CODE
LOW	tests/module/dispatcher/test_deepep_expert_tp.py	208	def test_async_path_accepts_topk_weights_without_gradients(self) -> None:	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
976 more matches not shown…

Unused Imports883 hits · 820 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	recipe/trace/viewer/server.py	8	CODE
LOW	recipe/trace/viewer/render.py	3	CODE
LOW	recipe/trace/viewer/payload.py	8	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_interleaved_shard.py	8	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/patch/test_dcp_interleaved_planner.py	15	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
823 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 Separators148 hits · 528 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	354	# ── Build two identical models ───────────────────────────────────────	COMMENT
MEDIUM⚡	tests/optim/test_muon.py	361	# ── Reference path ───────────────────────────────────────────────────	COMMENT
MEDIUM⚡	tests/optim/test_muon.py	367	# ── Production path ──────────────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	32	# ─── Test: Newton-Schulz functions ───────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	91	# ─── Model for end-to-end tests ──────────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	179	# ─── Reference optimizer ─────────────────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	329	# ─── Test: single-GPU correctness ───────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	381	# ── Compare all parameters ───────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	459	# ─── Test: end-to-end FSDP ───────────────────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	487	# ── Build model on every rank, then broadcast rank-0 weights ─────────	COMMENT
MEDIUM	tests/optim/test_muon.py	495	# ── Generate input data on rank 0 and scatter ────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	506	# ── Reference: forward all samples, average loss ─────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	513	# ── Fully shard the test model (production path) ─────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	525	# ── Production Muon optimizer step ────────────────────────────────────	COMMENT
MEDIUM	tests/optim/test_muon.py	532	# ── 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
88 more matches not shown…

Deep Nesting261 hits · 250 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	recipe/trace/viewer/payload.py	36	CODE
LOW	recipe/trace/viewer/payload.py	174	CODE
LOW	recipe/trace/viewer/payload.py	382	CODE
LOW	recipe/trace/viewer/payload.py	703	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	378	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	249	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	258	CODE
LOW	tests/model/test_qwen3_vl.py	234	CODE
LOW	tests/model/test_gpt_oss_moe.py	175	CODE
LOW	tests/model/test_fsdp_model.py	164	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	184	CODE
LOW	tests/model/test_qwen3_5.py	354	CODE
LOW	tests/model/test_qwen3_moe.py	289	CODE
LOW	tests/model/test_qwen3_moe.py	362	CODE
LOW	tests/model/test_qwen3_moe.py	518	CODE
LOW	tests/model/test_qwen3_5_dense.py	373	CODE
LOW	tests/train/test_trainer.py	588	CODE
LOW	tests/profiler/qwen35_vl_determ.py	327	CODE
LOW	tests/engine/test_glm52_moe_train_engine.py	251	CODE
LOW	tests/engine/test_glm52_moe_train_engine.py	397	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	387	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	749	CODE
LOW	tests/rl/trace_utils.py	154	CODE
LOW	tests/rl/test_replay_buffer.py	666	CODE
LOW	tests/rl/test_qwen35_vl_moe_async_train_2step.py	355	CODE
LOW	autotest/cluster/clusterx.py	61	CODE
LOW	autotest/config/rl_qwen3p5_vl_35B_mtp_ep.py	277	CODE
LOW	autotest/config/rl_interns2_preview_dapo.py	163	CODE
LOW	…otest/config/rl_interns2_preview_vl_dapo_ep2_resume.py	246	CODE
LOW	autotest/config/rl_interns2_preview_vl_dapo.py	246	CODE
LOW	autotest/config/rl_interns2_preview_vl_grpo.py	246	CODE
LOW	autotest/module/train.py	14	CODE
LOW	autotest/utils/metric_report.py	90	CODE
LOW	autotest/utils/resume_validation.py	35	CODE
LOW	autotest/utils/check_metric.py	55	CODE
LOW	autotest/utils/check_metric.py	69	CODE
LOW	autotest/utils/check_metric.py	102	CODE
LOW	autotest/utils/check_metric.py	242	CODE
LOW	autotest/utils/check_metric.py	343	CODE
LOW	.claude/skills/model_normalize/repack_hf.py	57	CODE
201 more matches not shown…

Excessive Try-Catch Wrapping210 hits · 217 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/patch/test_dcp_interleaved_planner.py	128	except Exception:	CODE
LOW	tests/patch/test_dcp_interleaved_planner.py	162	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_float8.py	116	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_float8.py	195	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_float8.py	287	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_float8.py	387	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_float8.py	482	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_deepep_expert_tp.py	158	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_deepep_expert_tp.py	227	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_deepep_expert_tp.py	273	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_deepep_expert_tp.py	333	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	551	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	622	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	668	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	727	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	823	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	871	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	923	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	971	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	1040	except Exception:	CODE
LOW	tests/engine/test_moe_train_engine_tpep.py	1083	except Exception:	CODE
LOW	tests/rl/test_replay_buffer.py	674	except Exception as exc:	CODE
LOW	tests/rl/test_rl_colocate_trainer.py	379	except Exception as exc:	CODE
LOW	tests/rl/test_trace_store.py	64	except Exception as exc:	CODE
LOW	autotest/cluster/clusterx.py	99	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	134	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	159	except Exception:	CODE
LOW	autotest/cluster/clusterx.py	167	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	181	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	189	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	210	except Exception as e:	CODE
LOW	autotest/cluster/clusterx.py	222	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	…ls/add-chat-template/scripts/audit_hf_chat_template.py	95	except Exception as exc:	CODE
LOW	…ls/add-chat-template/scripts/audit_hf_chat_template.py	126	except Exception as exc:	CODE
LOW	…ls/add-chat-template/scripts/audit_hf_chat_template.py	141	except Exception as exc:	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/data_proto/messages/glm52_chat.py	227	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	510	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
150 more matches not shown…

Cross-Language Confusion33 hits · 185 pts

Severity	File	Line	Snippet	Context
HIGH⚡	recipe/trace/viewer/render.py	227	if (left == null && right == null) return 0;	CODE
HIGH⚡	recipe/trace/viewer/render.py	227	if (left == null && right == null) return 0;	CODE
HIGH⚡	recipe/trace/viewer/render.py	228	if (left == null) return 1;	CODE
HIGH⚡	recipe/trace/viewer/render.py	229	if (right == null) return -1;	CODE
HIGH⚡	recipe/trace/viewer/render.py	236	return Array.from(new Set(values.filter((value) => value != null))).sort(compareValues);	CODE
HIGH⚡	recipe/trace/viewer/render.py	240	if (payload.requested_train_step !== undefined && payload.requested_train_step !== null && payload.requested_train	CODE
HIGH⚡	recipe/trace/viewer/render.py	243	if (payload.selected_train_step !== undefined && payload.selected_train_step !== null) {	CODE
HIGH⚡	recipe/trace/viewer/render.py	243	if (payload.selected_train_step !== undefined && payload.selected_train_step !== null) {	CODE
HIGH⚡	recipe/trace/viewer/render.py	360	["Samples", data.sample_count \|\| 0],	CODE
HIGH⚡	recipe/trace/viewer/render.py	361	["Groups", data.group_count \|\| 0],	CODE
HIGH⚡	recipe/trace/viewer/render.py	362	["Steps", data.step_count \|\| 0],	CODE
HIGH⚡	recipe/trace/viewer/render.py	424	if (node.elapsed_ms !== undefined && node.elapsed_ms !== null) return formatDurationMs(node.elapsed_ms);	CODE
HIGH⚡	recipe/trace/viewer/render.py	424	if (node.elapsed_ms !== undefined && node.elapsed_ms !== null) return formatDurationMs(node.elapsed_ms);	CODE
HIGH⚡	recipe/trace/viewer/render.py	425	if (node.duration_ms !== undefined && node.duration_ms !== null) return formatDurationMs(node.duration_ms);	CODE
HIGH⚡	recipe/trace/viewer/render.py	425	if (node.duration_ms !== undefined && node.duration_ms !== null) return formatDurationMs(node.duration_ms);	CODE
HIGH⚡	recipe/trace/viewer/render.py	430	const nodes = (sample.display_path && sample.display_path.length) ? sample.display_path : fallbackDisplayPath(sam	CODE
HIGH⚡	recipe/trace/viewer/render.py	465	if (data.service_name) sourceParts.push(`service ${data.service_name}`);	CODE
HIGH⚡	recipe/trace/viewer/render.py	466	if (data.run_id) sourceParts.push(`run ${data.run_id}`);	CODE
HIGH⚡	recipe/trace/viewer/render.py	467	if (data.generated_at_s) sourceParts.push(`generated ${new Date(data.generated_at_s * 1000).toLocaleString()}`);	CODE
HIGH	recipe/trace/viewer/render.py	206	let pendingStepRequest = null;	CODE
HIGH	recipe/trace/viewer/render.py	324	if (fieldValue === undefined) return fields.all.includes(term.value);	CODE
HIGH	recipe/trace/viewer/render.py	333	return !searchTerms.length \|\| matchesSearch(sample, searchTerms);	CODE
HIGH	recipe/trace/viewer/render.py	388	return `${type}${message} (${error.sample_count \|\| 0})`;	CODE
HIGH	recipe/trace/viewer/render.py	411	<td>${esc(row.error_count \|\| 0)}</td>	CODE
HIGH	recipe/trace/viewer/render.py	484	const selectedStep = String(step \|\| filters.step \|\| "latest");	CODE
HIGH	recipe/trace/viewer/render.py	490	const response = await fetch(url.toString(), {cache: "no-store"});	CODE
HIGH	recipe/trace/viewer/render.py	501	if (pendingStepRequest === request) pendingStepRequest = null;	CODE
HIGH	recipe/trace/viewer/render.py	506	const selectedStep = String(step \|\| filters.step \|\| "latest");	CODE
HIGH	recipe/trace/viewer/render.py	517	if (!autoRefresh \|\| pendingStepRequest) return;	CODE
HIGH	recipe/trace/viewer/render.py	518	await fetchStep(filters.step \|\| data.requested_train_step \|\| data.selected_train_step \|\| "latest");	CODE
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	344	"cd /tmp && tar xzf /tmp/_lagent.tar.gz && rm /tmp/_lagent.tar.gz",	CODE

Modern Structural Boilerplate118 hits · 119 pts

Severity	File	Line	Snippet	Context
LOW	ci/scripts/check_metric.py	12	logger = logging.getLogger(__name__)	CODE
LOW	recipe/trace/viewer/server.py	356	__all__ = [	CODE
LOW	recipe/trace/viewer/render.py	532	__all__ = ["render_rollout_trace_html", "write_rollout_trace_html"]	STRING
LOW	recipe/trace/viewer/payload.py	983	__all__ = [	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	8	__all__ = ["BaseMessages", "ChatMessages", "Qwen35ChatMessages", "Glm52ChatMessages"]	CODE
LOW	xtuner/v1/data_proto/templates/__init__.py	121	__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	27	__all__ = [	CODE
LOW	xtuner/v1/module/attention/__init__.py	9	__all__ = [	CODE
LOW	xtuner/v1/module/rms_norm/__init__.py	4	__all__ = ["RMSNorm"]	CODE
LOW	xtuner/v1/module/dispatcher/__init__.py	99	__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/utils/interleaved_shard.py	40	__all__ = [	CODE
LOW	xtuner/v1/patch/dcp_interleaved_planner.py	55	__all__ = ["InterleavedShardSavePlanner", "InterleavedShardLoadPlanner"]	CODE
LOW	xtuner/v1/patch/__init__.py	7	__all__ = [	CODE
LOW	xtuner/v1/patch/xtuner_storage.py	25	logger = logging.getLogger(__name__)	CODE
LOW	xtuner/v1/model/__init__.py	74	__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", "pytree_reentrant_checkpoint", "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__ = [	CODE
LOW⚡	xtuner/v1/ops/sparse_mla/tilelang.py	82	def _setup_tilelang_sparse_mla_context(ctx, inputs, output) -> None:	CODE
LOW	xtuner/v1/ops/sparse_mla/__init__.py	95	__all__ = [	CODE
LOW⚡	xtuner/v1/ops/sparse_mla/cudnn_dsa.py	63	def _setup_cudnn_dsa_sparse_mla_context(ctx, inputs, output) -> None:	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/transport.py	1078	def _update_engines(self) -> None:	CODE
LOW	xtuner/v1/rl/weight_update/update_weighter.py	79	def _set_transport(self) -> None:	CODE
LOW	xtuner/v1/rl/weight_update/__init__.py	24	__all__ = [	CODE
58 more matches not shown…

AI Structural Patterns97 hits · 95 pts

Severity	File	Line	Context
LOW	tests/rl/test_replay_buffer.py	43	CODE
LOW	tests/rl/test_prepare_train_data.py	43	CODE
LOW	xtuner/v1/data_proto/sequence_context.py	104	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	369	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	447	CODE
LOW	xtuner/v1/module/decoder_layer/moe_decoder_layer.py	200	CODE
LOW	xtuner/v1/module/decoder_layer/moe_decoder_layer.py	206	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	277	CODE
LOW	…r/v1/datasets/mllm_tokenize_fn/qwen3_vl_tokenize_fn.py	501	CODE
LOW	…r/v1/datasets/mllm_tokenize_fn/qwen3_vl_tokenize_fn.py	653	CODE
LOW	…r/v1/datasets/mllm_tokenize_fn/qwen3_vl_tokenize_fn.py	1049	CODE
LOW	xtuner/v1/datasets/pt_tokenize_fn/long_text.py	28	CODE
LOW	xtuner/v1/optim/muon.py	303	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	1283	CODE
LOW	xtuner/v1/train/trainer.py	524	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	39	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/sparse_mla/tilelang_sparse_mla_bwd.py	84	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
37 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	106	Calculate the padding length needed to make the input length divisible by divisors. Args: length: The i	STRING
HIGH	xtuner/v1/model/base.py	163	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	363	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	78	# Create a fake model file	COMMENT
MEDIUM	tests/train/test_trainer.py	81	# Create a fake config file	COMMENT
MEDIUM	tests/engine/test_moe_train_engine_float8.py	468	# 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	359	# 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	643	# 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 Block40 hits · 40 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	1581	timeout: 1080	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	581	# Background:	COMMENT
LOW	xtuner/v1/loss/base_loss_ctx.py	21	# There are 3 steps to compute the calibrated loss:	COMMENT
LOW	xtuner/v1/config/fsdp.py	21	mtp_checkpoint_use_reentrant: Annotated[	COMMENT
LOW	xtuner/v1/float8/fsdp_utils.py	441	scale = scale.view(-1, 2, dim, scale.shape[-1])	COMMENT
LOW	xtuner/v1/float8/triton_kernels/trans_quant_per_tile.py	221	# m_aligned = (m + 127) // 128 * 128	COMMENT
LOW	xtuner/v1/module/attention/dsa_mla.py	141	# q: [bsz, S, Ni, Di]; k: [bsz, S, Di]	COMMENT
LOW	xtuner/v1/module/decoder_layer/moe_decoder_layer.py	421	post_dispatched = self.dispatcher.dispatch_postprocess(	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/utils/load_spec.py	381	# inner to outer, so the steps are reversed; preserved shards, such as an EP shard kept local for RL weight	COMMENT
LOW	xtuner/v1/model/base.py	1021	initialized_params = default_init_weights(self)	COMMENT
LOW	xtuner/v1/model/utils/checkpointing.py	101	) -> torch.Tensor \| tuple[torch.Tensor, ...]:	COMMENT
LOW	xtuner/v1/model/moe/moe.py	701	router_logits_list[micro_batch_idx][f"mtp_layer{mtp_idx}"] = mtp_router_results	COMMENT
LOW	xtuner/v1/model/moe/moe.py	1261	# 因而出现 original=COMPUTE、replay=REUSE，无法重建相同清单。	COMMENT
LOW	xtuner/v1/model/moe/moe.py	1461	# For MoE models that can perform inference independently without FSDP,	COMMENT
LOW	xtuner/v1/train/trainer.py	1961	)	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

Modern AI Meta-Vocabulary13 hits · 33 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/data_proto/messages/glm52_chat.py	134	# The opening <think> is template scaffolding. The trace and its closing tag are model-generated.	COMMENT
MEDIUM	xtuner/v1/train/rl_trainer.py	1101	# 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

AI Slop Vocabulary15 hits · 32 pts

Severity	File	Line	Snippet	Context
MEDIUM	xtuner/v1/module/dispatcher/torch_all2all.py	34	# 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

Hallucination Indicators2 hits · 20 pts

Severity	File	Line	Snippet	Context
CRITICAL	tests/model/test_qwen3_tile_embedding.py	168	embedding_weight = engine.model.language_model.embed_tokens.weight.full_tensor().mean().item()	CODE
CRITICAL	tests/model/test_qwen3_tile_embedding.py	169	lm_head_weight = engine.model.language_model.lm_head.weight.full_tensor().mean().item()	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	444	# 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	61	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