NVIDIA-NeMo/NeMo

Pattern Findings

The scanner identified 10627 distinct pattern matches across 24 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Hyper-Verbose Identifiers4881 hits · 4719 pts

Severity	File	Line	Snippet	Context
LOW	tools/nemo_forced_aligner/align_eou.py	249	def get_manifests_for_this_rank(manifest_list, num_nodes, num_gpus, node_idx, gpu_idx):	CODE
LOW	…orced_aligner/tests/test_add_t_start_end_to_utt_obj.py	261	def test_add_t_start_end_to_utt_obj(alignment, expected_output_utterance, output_timestep_duration):	CODE
LOW	tools/nemo_forced_aligner/utils/make_ass_files.py	336	def make_token_level_ass_file(utt_obj, output_dir_root, ass_file_config, audio_dur):	CODE
LOW	tools/ctc_segmentation/scripts/utils.py	141	def _prepare_tokenized_text_for_bpe_model(text: List[str], tokenizer, vocabulary: List[str], blank_idx: int = 0):	CODE
LOW	tools/ctc_segmentation/scripts/utils.py	219	def determine_utterance_segments(config, utt_begin_indices, char_probs, timings, text, char_list):	CODE
LOW	tools/ctc_segmentation/scripts/utils.py	309	def write_labels_for_audacity(	CODE
LOW	tools/speech_data_explorer/data_explorer.py	55	def _ensure_numba_coverage_compatibility():	CODE
LOW	tools/speech_data_explorer/data_explorer.py	294	def expand_sharded_path_without_braceexpand(path_pattern):	CODE
LOW	tools/speech_data_explorer/data_explorer.py	628	def build_tar_index_from_local(tar_path):	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	86	def recommend_hyperparameters_human_readable(recommended_hyperparameters):	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	93	def recommend_hyperparameters(df, model=None):	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	149	def estimating_customization_job_time(df, recommended_hyperparameters):	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	166	def warn_completion_is_not_empty(df):	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	182	def warn_imbalanced_completion(df):	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	305	def convert_into_prompt_completion_only(df, prompt_template="{prompt}", completion_template="{completion}"):	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	312	def warn_and_drop_long_samples(df, max_total_char_length):	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	364	def split_into_train_validation(df, val_proportion=0.1):	CODE
LOW	…ration/tests/test_customization_dataset_preparation.py	40	def test_recommend_hyperparameters():	CODE
LOW	…ration/tests/test_customization_dataset_preparation.py	84	def test_warn_completion_is_not_empty():	CODE
LOW	…ration/tests/test_customization_dataset_preparation.py	107	def test_warn_imbalanced_completion():	CODE
LOW	…ration/tests/test_customization_dataset_preparation.py	207	def test_warn_duplicated_rows():	CODE
LOW	…ration/tests/test_customization_dataset_preparation.py	224	def test_drop_duplicated_rows():	CODE
LOW⚡	…ration/tests/test_customization_dataset_preparation.py	263	def test_drop_unrequired_fields():	CODE
LOW⚡	…ration/tests/test_customization_dataset_preparation.py	272	def test_convert_into_template():	CODE
LOW⚡	…ration/tests/test_customization_dataset_preparation.py	296	def test_convert_into_prompt_completion_only():	CODE
LOW⚡	…ration/tests/test_customization_dataset_preparation.py	314	def get_indexes_of_long_examples(df, max_total_char_length):	CODE
LOW⚡	…ration/tests/test_customization_dataset_preparation.py	319	def test_warn_and_drop_long_samples():	CODE
LOW	…ration/tests/test_customization_dataset_preparation.py	347	def test_show_first_example_in_df():	CODE
LOW	…ration/tests/test_customization_dataset_preparation.py	357	def test_get_prepared_filename():	CODE
LOW	…ration/tests/test_customization_dataset_preparation.py	375	def test_split_into_train_validation():	CODE
LOW⚡	…gpie_vllm_omni/vllm_plugin_easymagpie_omni/__init__.py	61	def _register_streaming_compatibility() -> None:	CODE
LOW⚡	…gpie_vllm_omni/vllm_plugin_easymagpie_omni/__init__.py	68	def _register_serving_adapter() -> None:	CODE
LOW	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	199	def precompute_text_embeddings(model, batch_size: int) -> torch.Tensor:	CODE
LOW	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	239	def extract_speaker_embedding(model, context_audio_path: str, context_audio_duration: float) -> torch.Tensor:	CODE
LOW	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	577	def configure_codec_reference_speaker_encoder(outdir: str, config: dict) -> None:	CODE
LOW	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	597	def append_reference_speaker_encoder_weights(encoder_path: str, state_dict: dict[str, torch.Tensor]) -> None:	CODE
LOW	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	630	def save_phoneme_text_tokenizer(model, outdir: str) -> None:	CODE
LOW	tools/easymagpie_vllm_omni/scripts/convert_codec.py	149	def convert_encoder_checkpoint(	CODE
LOW⚡	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	147	def _write_temp_deploy_config(cfg: dict) -> str:	CODE
LOW⚡	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	259	def _extract_step_audio_codes(stage_output):	CODE
LOW⚡	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	537	def compute_and_print_metrics(	CODE
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_server.py	179	def _reference_audio_data_url(path: str \| Path, randomize: bool) -> str:	CODE
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/runner.py	34	def merge_streaming_additional_information(	CODE
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/runner.py	69	def _update_streaming_request(self, req_id, new_req_data):	CODE
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/config.py	279	def num_all_tokens_per_codebook(self) -> int:	CODE
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/config.py	312	def ensure_reference_audio_available(self) -> None:	CODE
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/config.py	326	def supports_user_audio_prefill(self) -> bool:	CODE
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/config.py	330	def require_user_audio_prefill(self) -> None:	CODE
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/config.py	363	def audio_user_speaking_end_id(self) -> int:	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	45	def _sampling_params_with_max_tokens(params: Any, max_tokens: int) -> Any:	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	122	async def _wait_for_segment_completion(self) -> None:	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	130	def _accumulate_queued_tokens(self, token_ids: list[int]) -> tuple[list[int], bool]:	CODE
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/multimodal.py	43	def _infer_audio_output_kinds(prompt: str \| list[int], audio_count: int, marker_id: int) -> list[int]:	CODE
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/multimodal.py	105	def get_mm_max_tokens_per_item(	CODE
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/multimodal.py	146	def get_dummy_processor_inputs(	CODE
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/multimodal.py	211	def _cached_apply_hf_processor(self, inputs, timing_ctx):	CODE
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/multimodal.py	225	def _hf_processor_applies_updates(	CODE
LOW	…pie_vllm_omni/easymagpie_vllm_omni/backbone_patches.py	26	def patch_mamba_streaming_decode() -> None:	CODE
LOW	…pie_vllm_omni/easymagpie_vllm_omni/backbone_patches.py	55	def patch_shared_expert_activation(backbone) -> int:	CODE
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/tokenizer.py	193	def _marker_prefix_suffix_length(self, text: str) -> int:	CODE
4821 more matches not shown…

Cross-File Repetition444 hits · 2220 pts

Severity	File	Line	Snippet	Context
HIGH	nemo/core/config/optimizers.py	0	convenience method to obtain an optimizer class and partially instantiate it with optimizer kwargs. args: name: name of	STRING
HIGH	nemo/core/config/schedulers.py	0	convenience method to obtain an optimizer class and partially instantiate it with optimizer kwargs. args: name: name of	STRING
HIGH	nemo/core/optim/lr_scheduler.py	0	convenience method to obtain an optimizer class and partially instantiate it with optimizer kwargs. args: name: name of	STRING
HIGH	nemo/core/optim/optimizers.py	0	convenience method to obtain an optimizer class and partially instantiate it with optimizer kwargs. args: name: name of	STRING
HIGH	nemo/core/classes/exportable.py	0	implement this method to return a set of output names disabled for export	STRING
HIGH	nemo/collections/asr/modules/conv_asr.py	0	implement this method to return a set of output names disabled for export	STRING
HIGH	nemo/collections/asr/modules/rnnt.py	0	implement this method to return a set of output names disabled for export	STRING
HIGH	nemo/collections/tts/models/fastpitch.py	0	implement this method to return a set of output names disabled for export	STRING
HIGH	nemo/core/classes/mixins/adapter_mixins.py	0	add an adapter module to this model. args: name: a globally unique name for the adapter. will be used to access, enable	STRING
HIGH	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	0	add an adapter module to this model. args: name: a globally unique name for the adapter. will be used to access, enable	STRING
HIGH	…llections/tts/parts/mixins/fastpitch_adapter_mixins.py	0	add an adapter module to this model. args: name: a globally unique name for the adapter. will be used to access, enable	STRING
HIGH	nemo/core/classes/mixins/adapter_mixins.py	0	checks if any adapter module has been instantiated. returns: bool, determining if any adapter module has been instantiat	STRING
HIGH	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	0	checks if any adapter module has been instantiated. returns: bool, determining if any adapter module has been instantiat	STRING
HIGH	…llections/tts/parts/mixins/fastpitch_adapter_mixins.py	0	checks if any adapter module has been instantiated. returns: bool, determining if any adapter module has been instantiat	STRING
HIGH	nemo/core/classes/mixins/adapter_mixins.py	0	updated the internal adapter config, determining if an adapter (or all adapters) are either enabled or disabled. a commo	STRING
HIGH	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	0	updated the internal adapter config, determining if an adapter (or all adapters) are either enabled or disabled. a commo	STRING
HIGH	…llections/tts/parts/mixins/fastpitch_adapter_mixins.py	0	updated the internal adapter config, determining if an adapter (or all adapters) are either enabled or disabled. a commo	STRING
HIGH	nemo/core/classes/mixins/adapter_mixins.py	0	utility method to resolve a given global/module adapter name to its components. always returns a tuple representing (mod	STRING
HIGH	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	0	utility method to resolve a given global/module adapter name to its components. always returns a tuple representing (mod	STRING
HIGH	…llections/tts/parts/mixins/fastpitch_adapter_mixins.py	0	utility method to resolve a given global/module adapter name to its components. always returns a tuple representing (mod	STRING
HIGH	nemo/core/classes/mixins/adapter_mixins.py	0	fastpitch adapter mixin that can augment any encoder module with adapter module support. this mixin class should be used	STRING
HIGH	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	0	fastpitch adapter mixin that can augment any encoder module with adapter module support. this mixin class should be used	STRING
HIGH	…llections/tts/parts/mixins/fastpitch_adapter_mixins.py	0	fastpitch adapter mixin that can augment any encoder module with adapter module support. this mixin class should be used	STRING
HIGH	…ts/voice_agent/pipecat/services/nemo/streaming_diar.py	0	configuration parameters for diarization inference.	STRING
HIGH	…asks/diarization/neural_diarizer/e2e_diarize_speech.py	0	configuration parameters for diarization inference.	STRING
HIGH	nemo/collections/asr/parts/mixins/diarization.py	0	configuration parameters for diarization inference.	STRING
HIGH	nemo/agents/voice_agent/pipecat/services/nemo/utils.py	0	update the buffer with the new frame args: frame (frame): frame to update the buffer with	STRING
HIGH	…ence/streaming/buffering/incremental_audio_bufferer.py	0	update the buffer with the new frame args: frame (frame): frame to update the buffer with	STRING
HIGH	…ns/asr/inference/streaming/buffering/audio_bufferer.py	0	update the buffer with the new frame args: frame (frame): frame to update the buffer with	STRING
HIGH	nemo/collections/speechlm2/models/salm_asr_decoder.py	0	returns the audio duration corresponding to a single frame/token at the output of ``self.perception``.	STRING
HIGH	nemo/collections/speechlm2/models/salm_automodel.py	0	returns the audio duration corresponding to a single frame/token at the output of ``self.perception``.	STRING
HIGH	nemo/collections/speechlm2/models/salm.py	0	returns the audio duration corresponding to a single frame/token at the output of ``self.perception``.	STRING
HIGH	nemo/collections/speechlm2/models/salm_asr_decoder.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	nemo/collections/speechlm2/models/salm_automodel.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	nemo/collections/speechlm2/models/duplex_ear_tts.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	nemo/collections/speechlm2/models/salm.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	nemo/collections/speechlm2/models/duplex_s2s_model.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	…ns/speechlm2/models/duplex_s2s_speech_decoder_model.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	nemo/collections/asr/models/ssl_models.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	nemo/collections/asr/models/asr_eou_models.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	nemo/collections/asr/models/aed_multitask_models.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	nemo/collections/asr/models/asr_model.py	0	return a typing schema for optimal batch size calibration for various sequence lengths using oomptimizer.	STRING
HIGH	nemo/collections/speechlm2/models/duplex_ear_tts.py	0	return the size of the audio codec codebook including extra speech bos and eos tokens.	STRING
HIGH	nemo/collections/speechlm2/models/duplex_s2s_model.py	0	return the size of the audio codec codebook including extra speech bos and eos tokens.	STRING
HIGH	…ns/speechlm2/models/duplex_s2s_speech_decoder_model.py	0	return the size of the audio codec codebook including extra speech bos and eos tokens.	STRING
HIGH	nemo/collections/speechlm2/models/duplex_ear_tts.py	0	indicates start of utterance generation (not start of inference!).	STRING
HIGH	nemo/collections/speechlm2/models/duplex_s2s_model.py	0	indicates start of utterance generation (not start of inference!).	STRING
HIGH	…ns/speechlm2/models/duplex_s2s_speech_decoder_model.py	0	indicates start of utterance generation (not start of inference!).	STRING
HIGH	nemo/collections/speechlm2/models/duplex_ear_tts.py	0	indicates start of inference (the very first frame).	STRING
HIGH	nemo/collections/speechlm2/models/duplex_s2s_model.py	0	indicates start of inference (the very first frame).	STRING
HIGH	…ns/speechlm2/models/duplex_s2s_speech_decoder_model.py	0	indicates start of inference (the very first frame).	STRING
HIGH	nemo/collections/speechlm2/models/duplex_ear_tts.py	0	text pad id is used as a 'blank' for frames when the model is not speaking and for frames where the model is speaking bu	STRING
HIGH	nemo/collections/speechlm2/models/duplex_s2s_model.py	0	text pad id is used as a 'blank' for frames when the model is not speaking and for frames where the model is speaking bu	STRING
HIGH	…ns/speechlm2/models/duplex_s2s_speech_decoder_model.py	0	text pad id is used as a 'blank' for frames when the model is not speaking and for frames where the model is speaking bu	STRING
HIGH	nemo/collections/speechlm2/parts/metrics/asr_cer_wer.py	0	computes the final score and deallocates asr and partial results.	STRING
HIGH	nemo/collections/speechlm2/parts/metrics/asr_bleu.py	0	computes the final score and deallocates asr and partial results.	STRING
HIGH	nemo/collections/speechlm2/parts/metrics/secs.py	0	computes the final score and deallocates asr and partial results.	STRING
HIGH	nemo/collections/speechlm2/data/s2s_dataset.py	0	strips timestamp tokens from text, e.g. turns: '<\|0\|> hey <\|3\|> <\|3\|> how <\|5\|> <\|7\|> are <\|8\|> <\|8\|> <\|10\|> you? <\|12\|>	STRING
HIGH	…o/collections/speechlm2/data/duplex_ear_tts_dataset.py	0	strips timestamp tokens from text, e.g. turns: '<\|0\|> hey <\|3\|> <\|3\|> how <\|5\|> <\|7\|> are <\|8\|> <\|8\|> <\|10\|> you? <\|12\|>	STRING
HIGH	nemo/collections/common/data/lhotse/cutset.py	0	strips timestamp tokens from text, e.g. turns: '<\|0\|> hey <\|3\|> <\|3\|> how <\|5\|> <\|7\|> are <\|8\|> <\|8\|> <\|10\|> you? <\|12\|>	STRING
384 more matches not shown…

Over-Commented Block1903 hits · 1866 pts

Severity	File	Line	Snippet	Context
LOW	nemo_dependencies.py	1	#!/usr/bin/env python3	COMMENT
LOW	.pre-commit-config.yaml	1	# SPDX-FileCopyrightText: Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	pyproject.toml	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	.readthedocs.yml	1	# =============================================================================	COMMENT
LOW	setup.py	1	# ! /usr/bin/python	COMMENT
LOW	setup.py	141	# The licence under which the project is released	COMMENT
LOW	tools/nemo_forced_aligner/align.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/nemo_forced_aligner/align_eou.py	1	# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…s/nemo_forced_aligner/tests/test_restore_token_case.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/nemo_forced_aligner/tests/test_get_utt_obj.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…orced_aligner/tests/test_add_t_start_end_to_utt_obj.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/nemo_forced_aligner/utils/make_output_manifest.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/nemo_forced_aligner/utils/constants.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/nemo_forced_aligner/utils/data_prep.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/nemo_forced_aligner/utils/make_ass_files.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/nemo_forced_aligner/utils/make_ctm_files.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/speech_data_simulator/multispeaker_simulator.py	1	# SPDX-FileCopyrightText: Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/ctc_segmentation/run_segmentation.sh	1	#!/bin/bash	COMMENT
LOW	tools/ctc_segmentation/run_filter.sh	1	#!/bin/bash	COMMENT
LOW	tools/ctc_segmentation/scripts/prepare_data.py	1	# SPDX-FileCopyrightText: Copyright (c) 2020, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…ols/ctc_segmentation/scripts/get_metrics_and_filter.py	1	# SPDX-FileCopyrightText: Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/ctc_segmentation/scripts/normalization_helpers.py	1	# SPDX-FileCopyrightText: Copyright (c) 2020, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/ctc_segmentation/scripts/verify_segments.py	1	# SPDX-FileCopyrightText: Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/ctc_segmentation/scripts/cut_audio.py	1	# SPDX-FileCopyrightText: Copyright (c) 2020, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/ctc_segmentation/scripts/utils.py	1	# SPDX-FileCopyrightText: Copyright (c) 2020, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/ctc_segmentation/scripts/run_ctc_segmentation.py	1	# SPDX-FileCopyrightText: Copyright (c) 2020, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/speech_data_explorer/data_explorer.py	1	# SPDX-FileCopyrightText: Copyright (c) 2020, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/customization_dataset_preparation/__init__.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…taset_preparation/customization_dataset_preparation.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…ration/tests/test_customization_dataset_preparation.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…ls/customization_dataset_preparation/tests/__init__.py	1	# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/rir_corpus_generator/rir_mix_generator.py	1	# SPDX-FileCopyrightText: Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/rir_corpus_generator/rir_corpus_generator.py	1	# SPDX-FileCopyrightText: Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/asr_evaluator/asr_evaluator.py	1	# SPDX-FileCopyrightText: Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/asr_evaluator/utils.py	1	# SPDX-FileCopyrightText: Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…gpie_vllm_omni/vllm_plugin_easymagpie_omni/__init__.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…gpie_vllm_omni/scripts/benchmark_incremental_server.py	1	#!/usr/bin/env python3	COMMENT
LOW	tools/easymagpie_vllm_omni/scripts/tune_mamba_ssu.py	1	#!/usr/bin/env python3	COMMENT
LOW	tools/easymagpie_vllm_omni/scripts/convert_codec.py	1	#!/usr/bin/env python3	COMMENT
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_server.py	1	#!/usr/bin/env python3	COMMENT
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/runner.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…gpie_vllm_omni/easymagpie_vllm_omni/serving_adapter.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/config.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/multimodal.py	1	# Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…pie_vllm_omni/easymagpie_vllm_omni/stage_processors.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…/easymagpie_vllm_omni/easymagpie_vllm_omni/__init__.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…pie_vllm_omni/easymagpie_vllm_omni/backbone_patches.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/tokenizer.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…ie_vllm_omni/easymagpie_vllm_omni/local_transformer.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…/easymagpie_vllm_omni/easymagpie_vllm_omni/pipeline.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…/easymagpie_vllm_omni/easymagpie_vllm_omni/pipeline.py	101	final_output=True,	COMMENT
LOW	…symagpie_vllm_omni/easymagpie_vllm_omni/omni_compat.py	1	# Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	181	# cumulative code tensor on every step.	COMMENT
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	301	# flags frames in which ``_out_codes`` contain ``audio_eos_id``	COMMENT
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	1421	# indexed by ``decode_offset`` from a persistent ``text_tokens`` list. That	COMMENT
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/scheduler.py	1	# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.	COMMENT
1843 more matches not shown…

Decorative Section Separators329 hits · 1169 pts

Severity	File	Line	Snippet	Context
MEDIUM	.readthedocs.yml	1	# =============================================================================	COMMENT
MEDIUM	.readthedocs.yml	16	# =============================================================================	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	675	# ── 1. Pre-compute the per-subword text embedding table ──────────────	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	679	# ── 2. config.json ───────────────────────────────────────────────────	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	701	# ── 3. weights ───────────────────────────────────────────────────────	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	722	# ── 4. text tokenizer ────────────────────────────────────────────────	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	726	# ── 5. optional speaker embedding ────────────────────────────────────	COMMENT
MEDIUM⚡	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	154	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	156	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	250	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	252	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	532	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	534	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	65	# ── Hardcoded run settings ─────────────────────────────────────────────────	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	93	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	95	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	227	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	229	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	466	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	468	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	638	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	640	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	…ie_vllm_omni/easymagpie_vllm_omni/local_transformer.py	280	# ── Persistent address-stable scratch buffers ──────────────────	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	209	# ── Local transformer (its own compile group / CUDA graph) ──────	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	227	# ── Text + phoneme embedding heads ──────────────────────────────	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	276	# ── Persistent, address-stable scratch buffers ─────────────────	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	292	# ── Audio-EOS → engine stop ─────────────────────────────────────	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	320	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	322	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	491	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	493	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	572	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	574	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	718	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	720	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	1539	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	1541	# ------------------------------------------------------------------	COMMENT
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	743	# ------------------------------------------------------------------	STRING
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	745	# ------------------------------------------------------------------	STRING
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	780	# ------------------------------------------------------------------	STRING
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	782	# ------------------------------------------------------------------	STRING
MEDIUM	nemo/collections/speechlm2/vllm/salm/backends.py	49	# ── Base backend ────────────────────────────────────────────────────	COMMENT
MEDIUM	nemo/collections/speechlm2/vllm/salm/backends.py	80	# ── Transformer backend (Qwen3, etc.) ────────────────────────────────	COMMENT
MEDIUM	nemo/collections/speechlm2/vllm/salm/backends.py	228	# ── Hybrid backend (NemotronH / Mamba+MoE) ──────────────────────────	COMMENT
MEDIUM⚡	nemo/collections/speechlm2/vllm/salm/backends.py	349	# ── Factory ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	nemo/collections/speechlm2/vllm/salm/audio.py	83	# ── Helpers ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	nemo/collections/speechlm2/vllm/salm/audio.py	322	# ── Multimodal contract types ───────────────────────────────────────	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	47	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	49	# ==============================================================================	COMMENT
MEDIUM⚡	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	113	# ==============================================================================	COMMENT
MEDIUM⚡	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	115	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	445	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	447	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_model.py	35	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_model.py	37	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_model.py	96	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_model.py	98	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_model.py	238	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_model.py	240	# ==============================================================================	COMMENT
MEDIUM	nemo/collections/common/data/lhotse/broadcasting.py	56	# ---------------------------------------------------------------------------	COMMENT
269 more matches not shown…

Unused Imports846 hits · 814 pts

Severity	File	Line	Context
LOW	tools/speech_data_explorer/data_explorer.py	21	CODE
LOW	tools/speech_data_explorer/data_explorer.py	40	CODE
LOW	tools/speech_data_explorer/data_explorer.py	41	CODE
LOW	tools/easymagpie_vllm_omni/scripts/convert_to_vllm.py	55	CODE
LOW	…gpie_vllm_omni/scripts/benchmark_incremental_server.py	32	CODE
LOW	tools/easymagpie_vllm_omni/scripts/tune_mamba_ssu.py	27	CODE
LOW	tools/easymagpie_vllm_omni/scripts/convert_codec.py	18	CODE
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_server.py	25	CODE
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/runner.py	23	CODE
LOW	…gpie_vllm_omni/easymagpie_vllm_omni/serving_adapter.py	16	CODE
LOW	…ls/easymagpie_vllm_omni/easymagpie_vllm_omni/config.py	16	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	16	CODE
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/multimodal.py	15	CODE
LOW	…pie_vllm_omni/easymagpie_vllm_omni/stage_processors.py	20	CODE
LOW	…/easymagpie_vllm_omni/easymagpie_vllm_omni/__init__.py	17	CODE
LOW	…/easymagpie_vllm_omni/easymagpie_vllm_omni/__init__.py	17	CODE
LOW	…pie_vllm_omni/easymagpie_vllm_omni/backbone_patches.py	16	CODE
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/tokenizer.py	16	CODE
LOW	…ie_vllm_omni/easymagpie_vllm_omni/local_transformer.py	16	CODE
LOW	…symagpie_vllm_omni/easymagpie_vllm_omni/omni_compat.py	15	CODE
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	29	CODE
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/scheduler.py	21	CODE
LOW	…ymagpie_vllm_omni/easymagpie_vllm_omni/audio_output.py	16	CODE
LOW	…ymagpie_vllm_omni/easymagpie_vllm_omni/codec/packed.py	21	CODE
LOW	…ymagpie_vllm_omni/easymagpie_vllm_omni/codec/config.py	17	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/codec/__init__.py	17	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/codec/__init__.py	18	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/codec/__init__.py	18	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/codec/__init__.py	19	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/codec/__init__.py	20	CODE
LOW	…m_omni/easymagpie_vllm_omni/codec/weight_conversion.py	17	CODE
LOW	…magpie_vllm_omni/easymagpie_vllm_omni/codec/encoder.py	16	CODE
LOW	…asymagpie_vllm_omni/codec/reference_speaker_encoder.py	15	CODE
LOW	…symagpie_vllm_omni/easymagpie_vllm_omni/codec/model.py	17	CODE
LOW	…magpie_vllm_omni/easymagpie_vllm_omni/codec/packing.py	17	CODE
LOW	…vllm_omni/easymagpie_vllm_omni/codec/encoder_config.py	16	CODE
LOW	…magpie_vllm_omni/easymagpie_vllm_omni/codec/kernels.py	22	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/__init__.py	17	CODE
LOW	nemo/lightning/__init__.py	21	CODE
LOW	nemo/lightning/__init__.py	21	CODE
LOW	nemo/core/__init__.py	16	CODE
LOW	nemo/core/__init__.py	17	CODE
LOW	nemo/core/connectors/save_restore_connector.py	16	CODE
LOW	nemo/core/neural_types/__init__.py	17	CODE
LOW	nemo/core/neural_types/__init__.py	18	CODE
LOW	nemo/core/neural_types/__init__.py	19	CODE
LOW	nemo/core/neural_types/__init__.py	20	CODE
LOW	nemo/core/config/__init__.py	16	CODE
LOW	nemo/core/config/__init__.py	17	CODE
LOW	nemo/core/config/__init__.py	18	CODE
786 more matches not shown…

Deep Nesting798 hits · 736 pts

Severity	File	Line	Context
LOW	nemo_dependencies.py	28	CODE
LOW	nemo_dependencies.py	45	CODE
LOW	nemo_dependencies.py	91	CODE
LOW	nemo_dependencies.py	116	CODE
LOW	tools/nemo_forced_aligner/align_eou.py	446	CODE
LOW	…orced_aligner/tests/test_add_t_start_end_to_utt_obj.py	261	CODE
LOW	tools/nemo_forced_aligner/utils/data_prep.py	69	CODE
LOW	tools/nemo_forced_aligner/utils/make_ass_files.py	112	CODE
LOW	tools/nemo_forced_aligner/utils/make_ass_files.py	180	CODE
LOW	tools/nemo_forced_aligner/utils/make_ass_files.py	336	CODE
LOW	tools/nemo_forced_aligner/utils/make_ctm_files.py	70	CODE
LOW	tools/ctc_segmentation/scripts/prepare_data.py	126	CODE
LOW	tools/ctc_segmentation/scripts/prepare_data.py	222	CODE
LOW	tools/ctc_segmentation/scripts/prepare_data.py	228	CODE
LOW	tools/ctc_segmentation/scripts/cut_audio.py	51	CODE
LOW	tools/ctc_segmentation/scripts/utils.py	173	CODE
LOW	tools/ctc_segmentation/scripts/utils.py	219	CODE
LOW	tools/ctc_segmentation/scripts/utils.py	273	CODE
LOW	tools/ctc_segmentation/scripts/utils.py	309	CODE
LOW	tools/speech_data_explorer/data_explorer.py	553	CODE
LOW	tools/speech_data_explorer/data_explorer.py	696	CODE
LOW	tools/speech_data_explorer/data_explorer.py	830	CODE
LOW	tools/speech_data_explorer/data_explorer.py	997	CODE
LOW	tools/speech_data_explorer/data_explorer.py	1039	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	64	CODE
LOW	…taset_preparation/customization_dataset_preparation.py	238	CODE
LOW	tools/asr_evaluator/utils.py	38	CODE
LOW	tools/asr_evaluator/utils.py	86	CODE
LOW	tools/asr_evaluator/utils.py	271	CODE
LOW	…gpie_vllm_omni/scripts/benchmark_incremental_server.py	66	CODE
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	674	CODE
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_server.py	63	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	223	CODE
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/tokenizer.py	143	CODE
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	357	CODE
LOW	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	1408	CODE
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/scheduler.py	113	CODE
LOW	…symagpie_vllm_omni/easymagpie_vllm_omni/codec/model.py	84	CODE
LOW	nemo/lightning/one_logger_callback.py	153	CODE
LOW	nemo/lightning/base.py	56	CODE
LOW	nemo/core/connectors/save_restore_connector.py	54	CODE
LOW	nemo/core/connectors/save_restore_connector.py	99	CODE
LOW	nemo/core/connectors/save_restore_connector.py	291	CODE
LOW	nemo/core/connectors/save_restore_connector.py	363	CODE
LOW	nemo/core/connectors/save_restore_connector.py	456	CODE
LOW	nemo/core/neural_types/elements.py	100	CODE
LOW	nemo/core/neural_types/neural_type.py	67	CODE
LOW	nemo/core/neural_types/neural_type.py	94	CODE
LOW	nemo/core/neural_types/neural_type.py	180	CODE
LOW	nemo/core/neural_types/axes.py	61	CODE
LOW	nemo/core/config/hydra_runner.py	54	CODE
LOW	nemo/core/config/hydra_runner.py	70	CODE
LOW	nemo/core/config/hydra_runner.py	72	CODE
LOW	nemo/core/classes/exportable.py	139	CODE
LOW	nemo/core/classes/common.py	121	CODE
LOW	nemo/core/classes/common.py	415	CODE
LOW	nemo/core/classes/common.py	478	CODE
LOW	nemo/core/classes/common.py	566	CODE
LOW	nemo/core/classes/common.py	778	CODE
LOW	nemo/core/classes/common.py	1082	CODE
738 more matches not shown…

Docstring Block Structure85 hits · 425 pts

Severity	File	Line	Snippet	Context
HIGH	nemo/utils/dependency.py	62	Import an optional dependency, raising a clear error if it is not installed. Args: module_name: The module	STRING
HIGH	nemo/collections/speechlm2/models/duplex_ear_tts.py	1111	Returns a dictionary of initial inputs for inference, using registered buffers. Args: B (i	STRING
HIGH	nemo/collections/speechlm2/models/nemotron_voicechat.py	436	Runs full offline duplex speech-to-speech inference. This method performs: 1. Streaming S	STRING
HIGH	nemo/collections/speechlm2/parts/optim_setup.py	185	Split trainable parameters into optimizer groups with per-group learning rates. Args: named_parameters	STRING
HIGH	nemo/collections/speechlm2/parts/optim_setup.py	223	Utility used to freeze select model parameters, and skip them for the purpose of initializing an optimizer's pa	STRING
HIGH	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	182	Converts a spectrogram back into a waveform using the overlap-add method. This function is an approximate inver	STRING
HIGH	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	371	Computes a Mel-scaled spectrogram from an audio waveform. This function transforms a standard spectrogram into	STRING
HIGH	nemo/collections/speechlm2/data/salm_dataset.py	52	A dataset for Speech-Augmented Language Models (SALM) that processes multimodal conversations containing both t	STRING
HIGH	nemo/collections/speechlm2/data/s2s_dataset.py	30	A dataset for duplex speech-to-speech models that handles bidirectional conversations. This dataset processes	STRING
HIGH	…o/collections/speechlm2/data/duplex_ear_tts_dataset.py	35	A dataset for duplex speech-to-speech models that handles bidirectional conversations. This dataset processes	STRING
HIGH	…ctions/common/tokenizers/huggingface/auto_tokenizer.py	237	Adds a dictionary of special tokens (eos, pad, cls...). If special tokens are NOT in the vocabulary, they are	STRING
HIGH	nemo/collections/common/callbacks/ema.py	170	EMAOptimizer is a wrapper for torch.optim.Optimizer that computes Exponential Moving Average of parameters regi	STRING
HIGH	nemo/collections/common/parts/preprocessing/manifest.py	49	Iterate through json lines of provided manifests. NeMo ASR pipelines often assume certain manifest files structure.	STRING
HIGH	nemo/collections/common/parts/preprocessing/parsers.py	230	Creates parser from labels, set of arguments and concise parser name. Args: labels: List of labels to alloc	STRING
HIGH	nemo/collections/asr/metrics/md_eval.py	256	Parse a UEM (Un-partitioned Evaluation Map) file. Args: uem_file: Path to the UEM file. If ``None``, return	STRING
HIGH	nemo/collections/asr/models/sortformer_diar_models.py	1292	One-step forward pass for diarization inference in streaming mode. Args: processed_signal	STRING
HIGH	nemo/collections/asr/models/rnnt_models.py	199	Helper method to extract the rnnt loss name, and potentially its kwargs to be passed. Args:	STRING
HIGH	nemo/collections/asr/parts/triton/subsampling.py	560	Fuse ``conv -> ReLU -> depthwise``, with the between-stage length masking folded in. Both convolutions are 3x3 stri	STRING
HIGH	nemo/collections/asr/parts/triton/depthwise_conv.py	504	Channels-last depthwise conv2d with the bias and the length masking fused in. ``in_lengths``/``out_lengths`` fold i	STRING
HIGH	nemo/collections/asr/parts/utils/streaming_utils.py	1701	Iterate over ASR chunks and separate diarization chunks with future context. Args: right_c	STRING
HIGH	…llections/asr/parts/utils/multispk_transcribe_utils.py	142	Average non-overlapping fine-grained RTTM targets into output-frame-aligned bins. The input is truncated when	STRING
HIGH	…llections/asr/parts/utils/multispk_transcribe_utils.py	212	Apply and validate runtime Sortformer streaming settings. Args: diar_model (SortformerEncLabelModel):	STRING
HIGH	…llections/asr/parts/utils/multispk_transcribe_utils.py	1162	Adapt an ASR cache-aware chunk to the diarization model's pre-encoder geometry. Convolutional-subsampl	STRING
HIGH	nemo/collections/asr/parts/utils/transcribe_utils.py	349	Prepare audio data for transcription. Args: cfg (DictConfig): Configuration dictionary containing the f	STRING
HIGH	nemo/collections/asr/parts/utils/diarization_utils.py	58	Collect valid, unpadded diarization predictions and their metadata. A missing manifest duration is derived as	STRING
HIGH	nemo/collections/asr/parts/utils/asr_batching.py	208	Instantiates a Semi Sorted (Batch) Sampler. Args: model: ASR Model. dataset: Dataset which all	STRING
HIGH	nemo/collections/asr/parts/utils/speaker_utils.py	778	Combine overlaps with floating point numbers. Since neighboring integers are considered as continuous range, we	STRING
HIGH	…ections/asr/parts/utils/batched_beam_decoding_utils.py	921	Merge two batched beam hypotheses structures by concatenating transcripts. Used for streaming/chunked i	STRING
HIGH	…ons/asr/parts/submodules/rnnt_maes_batched_computer.py	385	Combines acoustic model log probabilities with language model scores based on the specified blank LM score mode	STRING
HIGH	…ons/asr/parts/submodules/rnnt_maes_batched_computer.py	413	Performs top-k selection and pruning for language model (LM) and automatic speech recognition (ASR) outputs	STRING
HIGH	nemo/collections/asr/parts/submodules/tdnn_attention.py	27	Statistics and time average pooling (TAP) layer This computes mean and, optionally, standard deviation statistics a	STRING
HIGH	…o/collections/asr/inference/pipelines/base_pipeline.py	525	Resolve language_code to a strict prompt index; raise if invalid. Args: language_code: (str	STRING
HIGH	…o/collections/asr/inference/pipelines/base_pipeline.py	572	Build prompt vectors for a batch of states using one-hot encoding. Args: states: (list) Lis	STRING
HIGH	nemo/collections/asr/inference/nmt/llm_translator.py	136	Setup device for the LLM model. Args: device: (str) device to run the model on	STRING
HIGH	nemo/collections/asr/inference/nmt/llm_translator.py	165	Returns prompt template for the LLM model. Args: model_name: (str) name of the model to get	STRING
HIGH	nemo/collections/asr/inference/nmt/llm_translator.py	196	Load NMT model in vLLM format. If the model is not found in the local cache, it will be downloaded from	STRING
HIGH	nemo/collections/asr/inference/nmt/llm_translator.py	221	Get local model path from HuggingFace model hub. Args: repo_id: (str) repository ID of the	STRING
HIGH	nemo/collections/asr/data/audio_to_text_dataset.py	931	Normalize manifest or tarred audio file paths into a ``ListConfig`` of lists. Handles string inputs (comma-sep	STRING
HIGH	nemo/collections/asr/data/audio_to_text_dataset.py	964	Chain multiple bucketed datasets using the specified bucketing strategy. When multiple datasets are provided (	STRING
HIGH	nemo/collections/asr/data/audio_to_text_dataset.py	1016	Calculate per-bucket batch sizes for adaptive bucketing. Supports two modes: linear scaling (integer ``bucketi	STRING
HIGH	nemo/collections/asr/data/audio_to_diar_label.py	1068	Create a full-duration negative example without loading source audio. Args: sample: Manifest item w	STRING
HIGH	nemo/collections/tts/metrics/prosody.py	122	Compute acoustic prosody distances between reference and generated audio. Args: gt_audio_path: Ground-truth	STRING
HIGH	nemo/collections/tts/models/magpietts.py	964	Normalize speaker_indices to a tensor of shape (batch_size,). Args: speaker_indices: Speaker select	STRING
HIGH	nemo/collections/tts/models/magpietts.py	1016	Get baked context embeddings for a batch, with per-element speaker selection. Args: batch_size: Num	STRING
HIGH	nemo/collections/tts/models/magpietts.py	1392	Convert attention probability matrices to numpy images for logging. Args: attention_prob_m	STRING
HIGH	nemo/collections/tts/models/magpietts.py	1434	Decode audio codes to waveforms and convert to numpy arrays for logging. Args: logits: Mod	STRING
HIGH	nemo/collections/tts/models/magpietts.py	1916	Prepare all context tensors for the decoder. This method orchestrates text encoding, context extraction, and mo	STRING
HIGH	nemo/collections/tts/models/magpietts.py	3756	Generate speech from raw text transcript. This is a convenience method for single-utterance text-to-sp	STRING
HIGH	…lections/tts/models/easy_magpietts_cfg_distillation.py	181	Load and prepare the teacher model for distillation. Args: cfg: Distillation configuration containing the t	STRING
HIGH	…lections/tts/models/easy_magpietts_cfg_distillation.py	1517	Finalize teacher-rollout predictions into padded batch tensors. The method extracts each item's predicted audio	STRING
HIGH	…lections/tts/models/easy_magpietts_cfg_distillation.py	1769	Apply final lower-bound rejection to finalized teacher rollouts. Marks previously accepted rollouts as rejected	STRING
HIGH	…lections/tts/models/easy_magpietts_cfg_distillation.py	1853	Generate finalized teacher-rollout distillation targets for a batch. Performs streaming autoregressive generati	STRING
HIGH	…lections/tts/models/easy_magpietts_cfg_distillation.py	2620	Calculate UTMOS quality scores for generated audio files. Args: input_dir: Directory containing the	STRING
HIGH	…lections/tts/models/easy_magpietts_cfg_distillation.py	3343	Prepare a distillation batch and run the student forward pass. The method combines the context, text, phoneme a	STRING
HIGH	…lections/tts/models/easy_magpietts_cfg_distillation.py	3412	Add teacher-rollout audio targets to a batch in place. The method stores backbone teacher codes and lengths, an	STRING
HIGH	…lections/tts/models/easy_magpietts_cfg_distillation.py	3583	Compute cross-entropy guidance loss for phoneme predictions. Uses phoneme targets from the batch when available	STRING
HIGH	nemo/collections/tts/parts/utils/tts_dataset_utils.py	132	Sample a probability uniformly from an inclusive configured range. Args: name: Base parameter name to inclu	STRING
HIGH	nemo/collections/tts/parts/utils/tts_dataset_utils.py	175	Split mixed text into ordered text and phoneme segments. Args: text: Input containing regular text and opti	STRING
HIGH	nemo/collections/tts/parts/utils/tts_dataset_utils.py	226	Replace a sampled portion of aligned words with marked IPA spans. The requested portion determines how many aligned	STRING
HIGH	nemo/collections/tts/parts/utils/tts_dataset_utils.py	301	Tokenize regular text with optional inline IPA spans marked by ``<bop>...<eop>``. Span markers are syntax only and	STRING
25 more matches not shown…

Self-Referential Comments105 hits · 304 pts

Severity	File	Line	Snippet	Context
MEDIUM	…asymagpie_vllm_omni/easymagpie_vllm_omni/easymagpie.py	114	# This class is not wrapped in ``@support_torch_compile``: the Nemotron-H	COMMENT
MEDIUM	nemo/core/neural_types/axes.py	87	"""This class represents axis semantics and (optionally) it's dimensionality	STRING
MEDIUM	nemo/core/config/modelPT.py	90	# Create the config builder	STRING
MEDIUM	…e_agent/pipecat/transports/network/websocket_server.py	173	# Create a task to monitor the websocket connection	COMMENT
MEDIUM	nemo/utils/import_utils.py	19	# This file is taken from https://github.com/NVIDIA-NeMo/Curator/blob/dask/nemo_curator/utils/import_utils.py,	COMMENT
MEDIUM	nemo/utils/exp_manager.py	655	# Create the logging directory if it does not exist	COMMENT
MEDIUM	nemo/utils/exp_manager.py	1378	# Create the callback and attach it to trainer	COMMENT
MEDIUM	nemo/utils/metaclasses.py	37	# Create a new object instance - one per class.	COMMENT
MEDIUM	nemo/utils/decorators/deprecated.py	88	# Create a banner	COMMENT
MEDIUM	nemo/collections/speechlm2/models/duplex_ear_tts.py	463	# Create a random dropout decision for each BOS instance	COMMENT
MEDIUM	nemo/collections/speechlm2/models/duplex_ear_tts.py	474	# Create a mask of the same shape as target_text_tokens	COMMENT
MEDIUM	…/collections/speechlm2/parts/metrics/results_logger.py	217	# Create a wav with eou prediction for debug purposes	COMMENT
MEDIUM⚡	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	103	# Create a range tensor from 0 to max_length - 1	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	155	# Create the window tensor on the same device as the waveform.	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_model.py	159	# Create a range tensor from 0 to max_length - 1	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_model.py	332	# Create a new, dense character vocabulary sorted by the original token ID	COMMENT
MEDIUM	nemo/collections/speechlm2/modules/ear_tts_model.py	835	# Create a padded tensor for the character IDs	COMMENT
MEDIUM	…o/collections/speechlm2/data/duplex_ear_tts_dataset.py	716	# Create a deepcopy and update duration	COMMENT
MEDIUM	…o/collections/speechlm2/data/duplex_ear_tts_dataset.py	774	# Create a zero tensor of shape [T] (assuming mono audio)	COMMENT
MEDIUM	nemo/collections/common/prompts/canary.py	75	# This method handles a level of indirection for Canary.	COMMENT
MEDIUM	nemo/collections/common/prompts/canary2.py	105	# This method handles a level of indirection for Canary.	COMMENT
MEDIUM	nemo/collections/common/data/lhotse/cutset.py	1838	# Create a stream for each dataset.	COMMENT
MEDIUM	nemo/collections/common/data/lhotse/cutset.py	2017	# Create a new Recording with the extended audio	COMMENT
MEDIUM	nemo/collections/common/data/lhotse/cutset.py	2052	# Create a Recording from the silence audio	COMMENT
MEDIUM	nemo/collections/audio/parts/submodules/diffusion.py	161	"""This class implements the Ornstein-Uhlenbeck SDE with variance exploding noise schedule.	STRING
MEDIUM	nemo/collections/audio/parts/submodules/diffusion.py	513	# Create a copy of SDE	COMMENT
MEDIUM	…o/collections/audio/parts/submodules/conformer_unet.py	160	# Create the self-attention and padding masks	COMMENT
MEDIUM	…lections/audio/parts/submodules/schroedinger_bridge.py	415	# Create a copy of the noise schedule	COMMENT
MEDIUM	nemo/collections/audio/data/data_simulation.py	595	# Create a radom set of microphones	COMMENT
MEDIUM	nemo/collections/audio/data/data_simulation.py	1686	# Define a window around the direct path delay	COMMENT
MEDIUM	nemo/collections/asr/losses/rnnt_pytorch.py	180	"""This function implements Equation 7 in the TDT paper https://arxiv.org/pdf/2304.06795.pdf,	STRING
MEDIUM	nemo/collections/asr/models/aed_multitask_models.py	1197	# This method is a legacy helper for Canary that checks whether prompt slot values were provided	COMMENT
MEDIUM	nemo/collections/asr/parts/features.py	35	# This file contains code artifacts adapted from https://github.com/ryanleary/patter	COMMENT
MEDIUM⚡	nemo/collections/asr/parts/mixins/transcription.py	302	# Create a results of the same type as each element in processed_outputs	COMMENT
MEDIUM⚡	nemo/collections/asr/parts/mixins/transcription.py	309	# Create a results of the same type as each element in processed_outputs	COMMENT
MEDIUM⚡	nemo/collections/asr/parts/mixins/transcription.py	317	# Create a results of the same type as each element in processed_outputs	COMMENT
MEDIUM	nemo/collections/asr/parts/mixins/transcription.py	383	# Create a DataLoader if not already present	COMMENT
MEDIUM	nemo/collections/asr/parts/mixins/diarization.py	256	# Create a results of the same type as each element in processed_outputs	COMMENT
MEDIUM	nemo/collections/asr/parts/mixins/diarization.py	263	# Create a results of the same type as each element in processed_outputs	COMMENT
MEDIUM	nemo/collections/asr/parts/mixins/diarization.py	324	# Create a DataLoader if not already present	COMMENT
MEDIUM	nemo/collections/asr/parts/utils/numba_utils.py	34	# Create an empty output array	COMMENT
MEDIUM⚡	…llections/asr/parts/utils/multispk_transcribe_utils.py	1459	# Initialize the instance manager with the batch size of the chunk audio.	COMMENT
MEDIUM	…llections/asr/parts/utils/multispk_transcribe_utils.py	1344	# Initialize the instance manager with the batch size of the chunk audio.	COMMENT
MEDIUM	nemo/collections/asr/parts/utils/transcribe_utils.py	246	# Create a preprocessor to convert audio samples into raw features,	COMMENT
MEDIUM	nemo/collections/asr/parts/utils/diarization_utils.py	386	# Create a list containing string formatted transcript	COMMENT
MEDIUM	nemo/collections/asr/parts/utils/diarization_utils.py	751	# Create a split segment and add it to the corresponding interval	COMMENT
MEDIUM	nemo/collections/asr/parts/utils/diarization_utils.py	1336	# Create a transscript information json dictionary from the output variables	COMMENT
MEDIUM	…ections/asr/parts/utils/batched_beam_decoding_utils.py	972	# Create a range tensor: [0, 1, 2, ..., max_other_len-1]	COMMENT
MEDIUM	nemo/collections/asr/parts/submodules/spectr_augment.py	288	# Create a mask_tensor with all the indices.	COMMENT
MEDIUM	nemo/collections/asr/parts/submodules/spectr_augment.py	295	# Create a final mask that aligns with the full tensor	COMMENT
MEDIUM	…llections/asr/parts/submodules/multi_head_attention.py	622	# Create a helper tensor to find the local indices of global attention	COMMENT
MEDIUM	nemo/collections/asr/parts/preprocessing/features.py	35	# This file contains code artifacts adapted from https://github.com/ryanleary/patter	COMMENT
MEDIUM	nemo/collections/asr/parts/preprocessing/segment.py	35	# This file contains code artifacts adapted from https://github.com/ryanleary/patter	COMMENT
MEDIUM	nemo/collections/asr/parts/preprocessing/perturb.py	35	# This file contains code artifacts adapted from https://github.com/ryanleary/patter	COMMENT
MEDIUM	nemo/collections/asr/parts/preprocessing/perturb.py	1355	"""This function is used to iterate through utterances with different offsets for each file."""	STRING
MEDIUM	nemo/collections/asr/inference/utils/context_manager.py	171	# Create a dummy context with None values	COMMENT
MEDIUM	nemo/collections/asr/inference/utils/bpe_decoder.py	140	# Create a text segment	COMMENT
MEDIUM	nemo/collections/asr/inference/utils/manifest_io.py	144	# Create a mapping of audio filepaths to their index in the manifest	COMMENT
MEDIUM	nemo/collections/asr/inference/utils/manifest_io.py	149	# Define an order of the audio filepaths	COMMENT
MEDIUM	…ctions/asr/inference/streaming/framing/multi_stream.py	180	# Create a new stream	COMMENT
45 more matches not shown…

Excessive Try-Catch Wrapping254 hits · 276 pts

Severity	File	Line	Snippet	Context
LOW	nemo_dependencies.py	68	except Exception as e:	CODE
MEDIUM	nemo_dependencies.py	69	print(f"Error analyzing {file_path}: {e}")	CODE
LOW	tools/ctc_segmentation/scripts/prepare_data.py	122	except Exception as e:	CODE
MEDIUM	tools/ctc_segmentation/scripts/prepare_data.py	91	def _load_sox_transformer():	CODE
LOW	…ols/ctc_segmentation/scripts/get_metrics_and_filter.py	189	except Exception as e:	CODE
LOW	tools/ctc_segmentation/scripts/utils.py	137	except Exception as e:	CODE
LOW	tools/ctc_segmentation/scripts/run_ctc_segmentation.py	176	except Exception as e:	CODE
LOW	tools/speech_data_explorer/data_explorer.py	521	except Exception as e:	CODE
LOW	tools/speech_data_explorer/data_explorer.py	2794	except Exception as ex:	CODE
LOW	tools/speech_data_explorer/data_explorer.py	2856	except Exception as ex:	CODE
LOW	tools/speech_data_explorer/data_explorer.py	2881	except Exception as ex:	CODE
LOW	tools/speech_data_explorer/data_explorer.py	2908	except Exception as ex:	CODE
LOW	…gpie_vllm_omni/vllm_plugin_easymagpie_omni/__init__.py	44	except Exception:	CODE
LOW⚡	…gpie_vllm_omni/vllm_plugin_easymagpie_omni/__init__.py	76	except Exception: # pragma: no cover - serving support is best-effort	CODE
LOW	…gpie_vllm_omni/scripts/benchmark_incremental_server.py	147	except Exception as exc: # noqa: BLE001 - report any client/server failure	CODE
LOW	tools/easymagpie_vllm_omni/scripts/tune_mamba_ssu.py	203	except Exception as exc: # A candidate may exceed a device resource limit.	CODE
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	415	except Exception as exc:	CODE
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	422	except Exception:	CODE
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_server.py	107	except Exception as exc: # noqa: BLE001 - report any client/server failure	CODE
LOW	…gpie_vllm_omni/easymagpie_vllm_omni/serving_adapter.py	294	except Exception: # never let a serving-layer change break model/pipeline loading	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	407	except Exception as error:	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	417	except Exception:	CODE
LOW	…pie_vllm_omni/easymagpie_vllm_omni/stage_processors.py	225	except Exception:	CODE
LOW	…pie_vllm_omni/easymagpie_vllm_omni/stage_processors.py	232	except Exception:	CODE
LOW	nemo/lightning/callback_group.py	94	except Exception:	CODE
LOW	nemo/core/connectors/save_restore_connector.py	764	except Exception as e:	CODE
LOW⚡	nemo/core/classes/common.py	132	except Exception:	CODE
LOW⚡	nemo/core/classes/common.py	136	except Exception as e2:	CODE
LOW	nemo/core/classes/common.py	628	except Exception:	CODE
LOW	nemo/core/classes/common.py	760	except Exception:	CODE
LOW	nemo/core/classes/common.py	818	except Exception as e:	CODE
LOW	nemo/core/classes/common.py	835	except Exception as e:	CODE
LOW	nemo/core/classes/modelPT.py	770	except Exception as e:	CODE
LOW	nemo/core/utils/cuda_python_utils.py	240	except Exception:	CODE
LOW	nemo/core/utils/numba_utils.py	144	except Exception:	CODE
LOW	nemo/core/utils/lightning_utils.py	86	except Exception:	CODE
LOW	nemo/agents/voice_agent/utils/config_manager.py	72	except Exception as e:	CODE
LOW	…o/agents/voice_agent/utils/tool_calling/basic_tools.py	55	except Exception as e:	CODE
LOW	…e_agent/pipecat/transports/network/websocket_server.py	192	except Exception as e:	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/diar.py	177	except Exception as e:	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/diar.py	182	except Exception as e:	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/diar.py	211	except Exception as e:	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/diar.py	242	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	224	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	280	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	384	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	394	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	497	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	550	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	609	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	739	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	778	except Exception as e:	CODE
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	809	except Exception as e:	CODE
LOW⚡	nemo/agents/voice_agent/pipecat/services/nemo/tts.py	177	except Exception as e:	CODE
LOW⚡	nemo/agents/voice_agent/pipecat/services/nemo/tts.py	182	except Exception as e:	CODE
LOW⚡	nemo/agents/voice_agent/pipecat/services/nemo/tts.py	185	except Exception as e:	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/tts.py	389	except Exception as e:	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/tts.py	399	except Exception as e:	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/tts.py	591	except Exception as e:	CODE
LOW	…ts/voice_agent/pipecat/services/nemo/streaming_diar.py	238	except Exception as e:	CODE
194 more matches not shown…

AI Structural Patterns286 hits · 274 pts

Severity	File	Line	Context
LOW	tools/ctc_segmentation/scripts/prepare_data.py	126	CODE
LOW	tools/speech_data_explorer/data_explorer.py	997	CODE
LOW	…ymagpie_vllm_omni/easymagpie_vllm_omni/codec/config.py	33	CODE
LOW	…vllm_omni/easymagpie_vllm_omni/codec/encoder_config.py	28	CODE
LOW	nemo/core/classes/exportable.py	61	CODE
LOW	nemo/core/classes/exportable.py	139	CODE
LOW	nemo/core/classes/common.py	1015	CODE
LOW	nemo/core/classes/mixins/adapter_mixins.py	609	CODE
LOW	nemo/core/classes/mixins/hf_io_mixin.py	119	CODE
LOW	nemo/core/classes/mixins/adapter_mixin_strategies.py	83	CODE
LOW	nemo/core/classes/mixins/adapter_mixin_strategies.py	191	CODE
LOW	nemo/core/classes/mixins/adapter_mixin_strategies.py	225	CODE
LOW	nemo/core/optim/adan.py	83	CODE
LOW	nemo/core/optim/adafactor.py	63	CODE
LOW	nemo/core/optim/novograd.py	49	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/diar.py	56	CODE
LOW	…nts/voice_agent/pipecat/services/nemo/streaming_asr.py	46	CODE
LOW	…gents/voice_agent/pipecat/services/nemo/turn_taking.py	46	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/tts.py	499	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/llm.py	310	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/stt.py	72	CODE
LOW	nemo/utils/export_utils.py	421	CODE
LOW	nemo/utils/export_utils.py	454	CODE
LOW	nemo/utils/timers.py	165	CODE
LOW	nemo/utils/callbacks/cuda_graph.py	142	CODE
LOW	nemo/utils/callbacks/nemo_model_checkpoint.py	48	CODE
LOW	nemo/utils/callbacks/dist_ckpt_io.py	224	CODE
LOW	nemo/collections/speechlm2/vllm/salm/config.py	180	CODE
LOW	nemo/collections/speechlm2/models/nemotron_voicechat.py	422	CODE
LOW	nemo/collections/speechlm2/parts/encoder_chunking.py	26	CODE
LOW	nemo/collections/speechlm2/parts/cp_helpers.py	74	CODE
LOW	nemo/collections/speechlm2/parts/parallel.py	194	CODE
LOW	nemo/collections/speechlm2/parts/parallel.py	338	CODE
LOW	…/collections/speechlm2/parts/metrics/results_logger.py	159	CODE
LOW	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	713	CODE
LOW	nemo/collections/speechlm2/modules/ear_tts_vae_codec.py	794	CODE
LOW	nemo/collections/speechlm2/modules/ear_tts_model.py	761	CODE
LOW	nemo/collections/speechlm2/modules/ear_tts_model.py	1196	CODE
LOW	nemo/collections/speechlm2/modules/perception.py	196	CODE
LOW	…o/collections/speechlm2/data/duplex_ear_tts_dataset.py	126	CODE
LOW	…tions/common/losses/latent_speaker_supervision_loss.py	90	CODE
LOW	…llections/common/tokenizers/sentencepiece_tokenizer.py	578	CODE
LOW	nemo/collections/common/tokenizers/tokenizer_utils.py	155	CODE
LOW	nemo/collections/common/tokenizers/char_tokenizer.py	92	CODE
LOW	nemo/collections/common/tokenizers/char_tokenizer.py	451	CODE
LOW	…mo/collections/common/tokenizers/tiktoken_tokenizer.py	106	CODE
LOW	…mo/collections/common/tokenizers/tiktoken_tokenizer.py	283	CODE
LOW	…ctions/common/tokenizers/huggingface/auto_tokenizer.py	36	CODE
LOW	…ons/common/tokenizers/text_to_speech/tts_tokenizers.py	547	CODE
LOW	…ons/common/tokenizers/text_to_speech/tts_tokenizers.py	661	CODE
LOW	…ons/common/tokenizers/text_to_speech/tts_tokenizers.py	900	CODE
LOW	…ons/common/tokenizers/text_to_speech/tts_tokenizers.py	1050	CODE
LOW	…ons/common/tokenizers/text_to_speech/tts_tokenizers.py	1227	CODE
LOW	…ons/common/tokenizers/text_to_speech/tts_tokenizers.py	1341	CODE
LOW	nemo/collections/common/parts/utils.py	216	CODE
LOW	nemo/collections/common/parts/rnn.py	26	CODE
LOW	nemo/collections/common/parts/rnn.py	299	CODE
LOW	nemo/collections/common/data/dataset.py	51	CODE
LOW	nemo/collections/common/data/dataset.py	346	CODE
LOW	nemo/collections/common/data/lhotse/nemo_adapters.py	144	CODE
226 more matches not shown…

Modern Structural Boilerplate253 hits · 257 pts

Severity	File	Line	Snippet	Context
LOW	tools/ctc_segmentation/scripts/normalization_helpers.py	16	__all__ = ["LATIN_TO_RU", "RU_ABBREVIATIONS"]	CODE
LOW	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	60	logger = logging.getLogger(__name__)	CODE
LOW	…gpie_vllm_omni/easymagpie_vllm_omni/serving_adapter.py	28	logger = logging.getLogger(__name__)	CODE
LOW	…/easymagpie_vllm_omni/easymagpie_vllm_omni/__init__.py	19	__all__ = ["EASYMAGPIE_SMALLMAMBA", "EasyMagpieOmniArch"]	CODE
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/scheduler.py	141	def _update_request_as_session(self, session: Request, update: StreamingUpdate) -> None:	CODE
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/scheduler.py	183	def _set_segment_finished(outputs, request_id: str, value: bool) -> None:	CODE
LOW	…easymagpie_vllm_omni/easymagpie_vllm_omni/scheduler.py	264	def _update_request_as_session(self, session: Request, update: StreamingUpdate) -> None:	CODE
LOW	…agpie_vllm_omni/easymagpie_vllm_omni/codec/__init__.py	22	__all__ = [	CODE
LOW	…magpie_vllm_omni/easymagpie_vllm_omni/codec/encoder.py	370	__all__ = ["EasyMagpieCodecEncoder", "EasyMagpieCodecEncoderOutput"]	CODE
LOW	…asymagpie_vllm_omni/codec/reference_speaker_encoder.py	129	__all__ = ["EasyMagpieReferenceSpeakerEncoder"]	CODE
LOW⚡	nemo/lightning/base_callback.py	84	def update_config(self, args, *kwargs) -> None:	CODE
LOW⚡	nemo/lightning/base_callback.py	89	__all__ = ["BaseCallback"]	CODE
LOW	nemo/lightning/__init__.py	36	__all__ = [	CODE
LOW	nemo/lightning/callback_group.py	59	def update_config(self, nemo_version: str, trainer: Any, **kwargs) -> None:	CODE
LOW	nemo/lightning/callback_group.py	186	__all__ = ['CallbackGroup', 'hook_class_init_with_callbacks']	CODE
LOW	nemo/lightning/one_logger_callback.py	35	__all__ = ['OneLoggerNeMoCallback']	CODE
LOW	nemo/lightning/one_logger_callback.py	248	def update_config(self, nemo_version: str, trainer: Trainer, **kwargs) -> None:	CODE
LOW	nemo/lightning/base.py	75	__all__ = ["get_vocab_size", "teardown"]	CODE
LOW	nemo/core/neural_types/elements.py	23	__all__ = [	CODE
LOW	nemo/core/neural_types/neural_type.py	24	__all__ = [	CODE
LOW	nemo/core/neural_types/comparison.py	18	__all__ = ['NeuralTypeComparisonResult']	CODE
LOW	nemo/core/neural_types/axes.py	19	__all__ = ['AxisKindAbstract', 'AxisKind', 'AxisType']	CODE
LOW	nemo/core/config/base_config.py	19	__all__ = ['Config']	CODE
LOW	nemo/core/config/optimizers.py	22	__all__ = [	CODE
LOW	nemo/core/config/pytorch_lightning.py	21	__all__ = ['TrainerConfig']	CODE
LOW	nemo/core/config/pytorch.py	21	__all__ = ['DataLoaderConfig']	CODE
LOW	nemo/core/classes/exportable.py	37	__all__ = ['ExportFormat', 'Exportable']	CODE
LOW	nemo/core/classes/dataset.py	22	__all__ = ['Dataset', 'IterableDataset']	CODE
LOW	nemo/core/classes/loss.py	20	__all__ = ['Loss']	CODE
LOW	nemo/core/classes/common.py	53	__all__ = ['Typing', 'FileIO', 'Model', 'Serialization', 'typecheck', 'PretrainedModelInfo']	CODE
LOW	nemo/core/classes/modelPT.py	46	__all__ = ['ModelPT']	CODE
LOW	nemo/core/classes/module.py	24	__all__ = ['NeuralModule', 'freeze', 'unfreeze']	CODE
LOW	nemo/core/classes/mixins/adapter_mixins.py	406	def set_accepted_adapter_types(self, adapter_types: List[Union[type, str]]) -> None:	CODE
LOW	nemo/core/optim/adafactor.py	29	__all__ = ['Adafactor']	CODE
LOW	nemo/core/optim/optimizers.py	78	__all__ = ['get_optimizer', 'register_optimizer', 'parse_optimizer_args']	CODE
LOW	nemo/core/optim/novograd.py	19	__all__ = ['Novograd']	CODE
LOW	nemo/core/utils/optional_libs.py	21	__all__ = [	CODE
LOW	nemo/agents/voice_agent/pipecat/services/nemo/utils.py	136	def _update_feature_buffer(self, feat_chunk: torch.Tensor) -> None:	CODE
LOW	nemo/utils/nemo_logging.py	31	__all__ = ["Logger", "LogMode"]	CODE
LOW	nemo/utils/env_var_parsing.py	48	__all__ = [	CODE
LOW	nemo/utils/timers.py	26	__all__ = ["NamedTimer", "SimpleTimer"]	CODE
LOW	nemo/utils/import_utils.py	29	logger = logging.getLogger(__name__)	CODE
LOW⚡	nemo/utils/exp_manager.py	1545	def _update_slurm_time_offset(self) -> None:	CODE
LOW	nemo/utils/decorators/experimental.py	17	__all__ = ['experimental']	CODE
LOW	nemo/utils/decorators/deprecated.py	17	__all__ = [	CODE
LOW	nemo/utils/decorators/port_docs.py	19	__all__ = [	CODE
LOW	nemo/utils/callbacks/cuda_graph.py	51	__all__ = ["CUDAGraphCallback"]	CODE
LOW	nemo/utils/callbacks/nemo_model_checkpoint.py	496	def set_checkpoint_unfinished_marker(checkpoint_path: Union[Path, str], barrier_after=False) -> None:	CODE
LOW	nemo/utils/callbacks/training_stats.py	52	__all__ = ["TrainingStatsCallback"]	CODE
LOW	nemo/utils/formatters/utils.py	22	__all__ = ["check_color_support", "to_unicode"]	CODE
LOW	nemo/utils/formatters/base.py	22	__all__ = ["BaseNeMoFormatter"]	CODE
LOW	nemo/collections/speechlm2/__init__.py	27	__all__ = [	CODE
LOW	nemo/collections/speechlm2/vllm/salm/model.py	181	def set_aux_hidden_state_layers(self, layers: tuple[int, ...]) -> None:	CODE
LOW	nemo/collections/speechlm2/models/__init__.py	24	__all__ = [	CODE
LOW	nemo/collections/speechlm2/streaming/__init__.py	18	__all__ = ['DuplexSTTStreamingInference']	CODE
LOW	nemo/collections/speechlm2/parts/automodel_compat.py	19	logger = logging.getLogger(__name__)	CODE
LOW	nemo/collections/speechlm2/parts/metrics/__init__.py	24	__all__ = [	CODE
LOW	nemo/collections/speechlm2/modules/__init__.py	18	__all__ = [	CODE
LOW	nemo/collections/speechlm2/modules/perception.py	125	def set_activation_checkpointing(self, enabled: bool) -> None:	CODE
LOW	nemo/collections/speechlm2/modules/perception.py	467	def set_activation_checkpointing(self, enabled: bool) -> None:	CODE
193 more matches not shown…

Empty Error Handlers48 hits · 240 pts

Severity	File	Line	Snippet	Context
HIGH	…gpie_vllm_omni/vllm_plugin_easymagpie_omni/__init__.py	32	except ValueError:	CODE
HIGH	…gpie_vllm_omni/vllm_plugin_easymagpie_omni/__init__.py	44	except Exception:	CODE
HIGH	tools/easymagpie_vllm_omni/scripts/benchmark_model.py	422	except Exception:	CODE
HIGH	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	404	except (WebSocketDisconnect, asyncio.TimeoutError):	CODE
HIGH	…pie_vllm_omni/easymagpie_vllm_omni/stage_processors.py	225	except Exception:	CODE
HIGH	nemo/lightning/callback_group.py	94	except Exception:	CODE
HIGH	nemo/lightning/base.py	68	except:	CODE
HIGH	nemo/core/classes/common.py	760	except Exception:	CODE
HIGH	nemo/core/classes/common.py	628	except Exception:	CODE
HIGH	nemo/core/optim/optimizers.py	75	except (ImportError, ModuleNotFoundError):	CODE
HIGH	nemo/core/utils/cuda_python_utils.py	240	except Exception:	CODE
HIGH	nemo/utils/model_utils.py	664	except (AttributeError, ImportError, ModuleNotFoundError):	CODE
HIGH	nemo/utils/nemo_logging.py	142	except KeyError:	CODE
HIGH	nemo/utils/nemo_logging.py	148	except KeyError:	CODE
HIGH	nemo/utils/nemo_logging.py	176	except KeyError:	CODE
HIGH	nemo/utils/env_var_parsing.py	165	except ValueError:	CODE
HIGH	nemo/utils/env_var_parsing.py	171	except ValueError:	CODE
HIGH	nemo/utils/env_var_parsing.py	177	except ValueError:	CODE
HIGH	nemo/utils/__init__.py	36	except ModuleNotFoundError:	CODE
HIGH	nemo/utils/__init__.py	44	except ModuleNotFoundError:	CODE
HIGH	nemo/utils/callbacks/s3_checkpoint_io.py	167	except:	CODE
HIGH	nemo/utils/callbacks/training_stats.py	214	except (ImportError, KeyError, RuntimeError, ValueError):	CODE
HIGH	nemo/utils/callbacks/training_stats.py	219	except (KeyError, RuntimeError, ValueError):	CODE
HIGH	nemo/collections/speechlm2/vllm/salm/config.py	483	except AttributeError:	CODE
HIGH	nemo/collections/speechlm2/vllm/salm/audio.py	194	except AttributeError:	CODE
HIGH	nemo/collections/speechlm2/parts/pretrained.py	536	except (AttributeError, TypeError):	CODE
HIGH	nemo/collections/speechlm2/parts/augmentation.py	336	except Exception:	CODE
HIGH	…/collections/speechlm2/parts/metrics/results_logger.py	121	except FileNotFoundError:	CODE
HIGH	…mo/collections/common/tokenizers/tiktoken_tokenizer.py	24	except ImportError:	CODE
HIGH	…ctions/common/tokenizers/huggingface/auto_tokenizer.py	209	except Exception:	CODE
HIGH	…lections/common/data/lhotse/packed_sequence_sampler.py	409	except StopIteration:	CODE
HIGH	nemo/collections/asr/metrics/der.py	210	except TypeError:	CODE
HIGH	nemo/collections/asr/parts/mixins/transcription.py	343	except StopIteration:	CODE
HIGH	nemo/collections/asr/parts/mixins/diarization.py	282	except StopIteration:	CODE
HIGH	nemo/collections/asr/parts/submodules/wfst_decoder.py	794	except Exception:	CODE
HIGH	nemo/collections/asr/data/text_to_text.py	40	except Exception:	CODE
HIGH	tests/core/test_optimizers_schedulers.py	254	except Exception:	CODE
HIGH	tests/core/test_optimizers_schedulers.py	261	except Exception:	CODE
HIGH	tests/collections/common/pl_utils.py	178	except RuntimeError:	CODE
HIGH	tests/collections/asr/test_asr_lhotse_dataset.py	132	except Exception:	CODE
HIGH	tests/collections/asr/test_asr_lhotse_dataset.py	147	except Exception:	CODE
HIGH	tests/collections/asr/test_asr_lhotse_dataset.py	161	except Exception:	CODE
HIGH	tests/collections/tts/models/test_easy_magpietts.py	44	except LocalEntryNotFoundError:	CODE
HIGH	…/collections/tts/data/test_magpietts_dataset_lhotse.py	48	except LocalEntryNotFoundError:	CODE
HIGH	examples/speechlm2/stt_duplex_train.py	32	except RuntimeError:	CODE
HIGH	scripts/speechlm2/distributed_oomptimizer.py	962	except OSError:	CODE
HIGH	scripts/dataloading/convert_indexes_to_idxpack.py	268	except FileNotFoundError:	CODE
HIGH	…pts/magpietts/extend_lhotse_shards_with_audio_codes.py	903	except RuntimeError:	CODE

Redundant / Tautological Comments142 hits · 210 pts

Severity	File	Line	Snippet	Context
LOW	tools/speech_data_simulator/conf/data_simulator.yaml	64	add_seg_aug: False # Set True to enable augmentation on each speech segment	CODE
LOW	tools/speech_data_simulator/conf/data_simulator.yaml	72	add_sess_aug: False # Set True to enable audio augmentation on the whole session	CODE
LOW	tools/speech_data_explorer/data_explorer.py	149	# Check if file exists	COMMENT
LOW	nemo/core/connectors/save_restore_connector.py	87	# Check if we are packing the folder into a nemo file	COMMENT
LOW	nemo/core/config/hydra_runner.py	95	# Check if user set the schema.	COMMENT
LOW⚡	nemo/core/classes/common.py	140	# Check if this is a missing dependency issue vs a malicious target	COMMENT
LOW⚡	nemo/core/classes/common.py	148	# Check if the module path is in one of our approved prefixes.	COMMENT
LOW	nemo/core/classes/common.py	515	# Check if keys exists in the defined input types	COMMENT
LOW	nemo/core/classes/common.py	1056	# Check if nemo_model_file_in_cache is a directory	COMMENT
LOW	nemo/core/classes/common.py	1170	# Check if api token exists, use if it does	COMMENT
LOW	nemo/core/classes/common.py	1176	# Check if model exists in HF	COMMENT
LOW	nemo/core/classes/modelPT.py	705	# Check if caller provided optimizer name, default to Adam otherwise	COMMENT
LOW	nemo/core/classes/modelPT.py	723	# Check if caller has optimizer kwargs, default to empty dictionary	COMMENT
LOW	nemo/core/classes/modelPT.py	1365	# Check if model is being resumed or not - only works if `Trainer` is attached to model	COMMENT
LOW	nemo/core/classes/modelPT.py	1551	# Assign trainer to the model	COMMENT
LOW	nemo/core/classes/mixins/adapter_mixins.py	365	# Check if type is supported (if available) and is an enabled adapter	COMMENT
LOW	nemo/core/classes/mixins/adapter_mixins.py	480	# Check if adapter is enabled or not	COMMENT
LOW	nemo/core/classes/mixins/hf_io_mixin.py	109	# Check if api token exists, use if it does	COMMENT
LOW	nemo/core/classes/mixins/adapter_mixin_strategies.py	247	# Check if globally allowed to compute aux loss	COMMENT
LOW	nemo/core/optim/distributed_adam.py	659	# Check if fragment needs to be updated	COMMENT
LOW	nemo/core/utils/process_launcher/launcher.py	270	# Check if all processes are completed or not	COMMENT
LOW	…ice_agent/pipecat/utils/text/simple_text_aggregator.py	75	# Check if the only period is a bullet point (e.g., "1. Alpha" or incomplete "1.")	COMMENT
LOW	…ice_agent/pipecat/utils/text/simple_text_aggregator.py	82	# Check if any of the abbreviations "e.", "i." "g.", "etc." are present in the text	COMMENT
LOW	…ents/voice_agent/pipecat/services/nemo/audio_logger.py	722	# Check if we need to start a new turn or append to existing turn	COMMENT
LOW	nemo/agents/voice_agent/pipecat/services/nemo/llm.py	458	# Check if there's already a vLLM process running on the same port and model	COMMENT
LOW	nemo/agents/voice_agent/pipecat/services/nemo/llm.py	462	# Check if this process is using the same port and model	COMMENT
LOW	nemo/agents/voice_agent/pipecat/services/nemo/llm.py	575	# Check if process is still running	COMMENT
LOW	nemo/utils/te_utils.py	24	# Check if Transformer Engine has quantized tensor classes	COMMENT
LOW	nemo/utils/exp_manager.py	1444	# Check if cuda is avialable as preemption is supported only on GPUs	COMMENT
LOW	nemo/utils/decorators/deprecated.py	49	# Check if we already warned about that function.	COMMENT
LOW	nemo/utils/callbacks/preemption.py	57	# Check if torch distributed is initialised, required for broadcasting the preemption signal to all the ranks	COMMENT
LOW	nemo/collections/speechlm2/models/duplex_ear_tts.py	1412	# Check if we should use the custom grouping	COMMENT
LOW	nemo/collections/speechlm2/parts/metrics/turn_taking.py	65	# Check if within tolerance	COMMENT
LOW	…o/collections/speechlm2/parts/metrics/mcq_evaluator.py	243	# Check if response is empty	COMMENT
LOW	…o/collections/speechlm2/parts/metrics/mcq_evaluator.py	287	# Check if correct	COMMENT
LOW	nemo/collections/speechlm2/parts/metrics/empty_text.py	50	# Check if hypothesis is empty or only whitespace	COMMENT
LOW	nemo/collections/speechlm2/data/force_align.py	270	# Check if this is a Segment object (has words_and_tokens attribute)	COMMENT
LOW	nemo/collections/speechlm2/data/force_align.py	274	# Check if this is a Word object (has 'text' and timing attributes)	COMMENT
LOW	…o/collections/speechlm2/data/duplex_ear_tts_dataset.py	586	# Check if system prompt exists in custom field	COMMENT
LOW	nemo/collections/common/parts/preprocessing/cleaners.py	221	# Check if there are non-numbers	COMMENT
LOW	nemo/collections/common/parts/preprocessing/cleaners.py	249	# Check if it is a currency	COMMENT
LOW	nemo/collections/common/prompts/formatter.py	344	# Check if the tokenizer is aggregate and perform extra checks.	COMMENT
LOW	nemo/collections/audio/data/data_simulation.py	1307	# Check if a feasible source is found	COMMENT
LOW	nemo/collections/asr/metrics/multitask.py	132	# Check if string is for value assertion or equivalency of values.	COMMENT
LOW	nemo/collections/asr/models/ssl_models.py	566	# Set flag to register tensors	COMMENT
LOW	nemo/collections/asr/models/label_models.py	529	# Check if all outputs are non-empty	COMMENT
LOW	nemo/collections/asr/models/aed_multitask_models.py	580	# Check if only one audio is provided with string	COMMENT
LOW	nemo/collections/asr/models/aed_multitask_models.py	597	# Check if chunking will be enabled	COMMENT
LOW	nemo/collections/asr/models/aed_multitask_models.py	1013	# Check if we have defaults for this role.	COMMENT
LOW	nemo/collections/asr/models/aed_multitask_models.py	1357	# Check if the model_restore_path is already an extracted directory (which happens during restore_from)	COMMENT
LOW⚡	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	90	# Check if default module name is None or not	COMMENT
LOW⚡	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	100	# Check if encoder adapters should be added	COMMENT
LOW⚡	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	107	# Check if module exists	COMMENT
LOW	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	166	# Check if default module name is None or not	COMMENT
LOW	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	175	# Check if encoder adapters should be used	COMMENT
LOW	nemo/collections/asr/parts/mixins/asr_adapter_mixins.py	198	# Check if encoder adapters should be used or are enabled	COMMENT
LOW	nemo/collections/asr/parts/mixins/transcription.py	286	# Check if internal config is valid	COMMENT
LOW	nemo/collections/asr/parts/mixins/transcription.py	366	# Check if internal config is valid	COMMENT
LOW	nemo/collections/asr/parts/mixins/transcription.py	490	# Check if audio is a list of strings (filepaths or manifests)	COMMENT
LOW	nemo/collections/asr/parts/mixins/transcription.py	505	# Check if audio is a list of numpy or torch tensors	COMMENT
82 more matches not shown…

Cross-Language Confusion37 hits · 175 pts

Severity	File	Line	Snippet	Context
HIGH⚡	…ration/tests/test_customization_dataset_preparation.py	269	assert df_dropped_unnecessary_fields.equals(drop_unrequired_fields(df))	CODE
HIGH⚡	…ration/tests/test_customization_dataset_preparation.py	306	assert df_prompt.equals(	CODE
HIGH⚡	…ration/tests/test_customization_dataset_preparation.py	311	assert df_prompt.equals(convert_into_prompt_completion_only(df_prompt))	CODE
HIGH⚡	…ration/tests/test_customization_dataset_preparation.py	327	assert expected_df.equals(warn_and_drop_long_samples(df, 10000)[0])	CODE
HIGH	tools/asr_evaluator/utils.py	46	raise ValueError("decoder_type could only be null, ctc, rnnt or aed")	CODE
HIGH	tools/asr_evaluator/utils.py	120	f"Hybrid models only support rnnt or ctc decoding! Current decoder_type: {cfg.inference.decoder_type	CODE
HIGH	…agpie_vllm_omni/easymagpie_vllm_omni/serving_stream.py	372	tokens = text_encoder.push(text)	CODE
HIGH	…easymagpie_vllm_omni/easymagpie_vllm_omni/tokenizer.py	109	return encoder.push(text, final=True)	CODE
HIGH	…easymagpie_vllm_omni/easymagpie_vllm_omni/tokenizer.py	191	return self.push("", final=True)	CODE
HIGH	nemo/core/utils/optional_libs.py	101	GRAPHVIZ_INSTALLATION_MESSAGE = "Try installing graphviz with `sudo apt install graphviz && pip install graphviz`"	CODE
HIGH	nemo/collections/speechlm2/vllm/salm/audio.py	226	"Independent per-encoder chunking requires encoder_chunk_size_seconds=null; "	CODE
HIGH	nemo/collections/speechlm2/parts/pretrained.py	332	"Independent per-encoder chunking requires model.encoder_chunk_size_seconds=null; "	CODE
HIGH	nemo/collections/speechlm2/parts/pretrained.py	460	raise ValueError(f"model.encoder_chunk_size_seconds must be positive or null, got {chunk_size}.")	CODE
HIGH	nemo/collections/speechlm2/parts/gc.py	30	raise ValueError(f"model.gc_every_steps must be a positive integer or null, got {gc_every_steps!r}")	CODE
HIGH	nemo/collections/speechlm2/modules/perception.py	351	raise ValueError(f"{name} must be positive or null, got {value!r}.")	CODE
HIGH	nemo/collections/audio/losses/audio.py	87	min_scale \|\| scale * target - estimate \|\|^2	STRING
HIGH	nemo/collections/audio/losses/audio.py	137	min_filter \|\| conv(filter, target) - estimate \|\|^2	STRING
HIGH	nemo/collections/audio/parts/utils/audio.py	442	min_scale \|\| scale * target - estimate \|\|^2	STRING
HIGH	nemo/collections/audio/parts/utils/audio.py	467	min_filter \|\| conv(filter, target) - estimate \|\|^2	STRING
HIGH	nemo/collections/asr/parts/utils/vad_utils.py	127	"or a list of {'audio_filepath': i, 'offset': 0, 'duration': null}."	CODE
HIGH	nemo/collections/asr/modules/rnnt_abstract.py	148	Stateful prediction of scores and state for a (possibly null) tokenset.	STRING
HIGH	nemo/collections/asr/modules/rnnt.py	710	Stateful prediction of scores and state for a (possibly null) tokenset.	STRING
HIGH	nemo/collections/asr/data/data_simulation.py	1266	orV_rcv (list or null): Microphone orientations	STRING
HIGH	nemo/collections/asr/data/audio_to_label.py	1339	"duration": null, # not used, will load the whole audio	STRING
HIGH	nemo/collections/tts/models/magpietts.py	767	# phoneme_dict_0/_1 (and phoneme_dict null), which IpaG2p rejects on	COMMENT
HIGH	…tions/tts/models/test_magpietts_tokenizer_artifacts.py	25	``phoneme_dict`` null), which ``IpaG2p`` rejects on restore.	STRING
HIGH	…tions/tts/models/test_magpietts_tokenizer_artifacts.py	127	# phoneme_dict must remain a 2-element list (not collapsed to sibling keys / null).	COMMENT
HIGH⚡	…ons/tts/easymagpie_vllm_omni/serving/test_tokenizer.py	101	tokens.extend(encoder.push(chunk))	CODE
HIGH⚡	…ons/tts/easymagpie_vllm_omni/serving/test_tokenizer.py	114	tokens.extend(encoder.push(char))	CODE
HIGH⚡	…ons/tts/easymagpie_vllm_omni/serving/test_tokenizer.py	124	tokens = encoder.push("x<bo") + encoder.finish()	CODE
HIGH⚡	…ons/tts/easymagpie_vllm_omni/serving/test_tokenizer.py	131	encoder.push("x<bop>ab")	CODE
HIGH	examples/speechlm2/nemotron_voicechat_eval.py	45	checkpoint_path (str \| null)	STRING
HIGH	examples/speechlm2/nemotron_voicechat_eval.py	51	* inference_speaker_reference (str \| null): Path to the reference audio used to condition the speaker's voice. S	STRING
HIGH	examples/asr/asr_adapters/train_asr_adapter.py	26	model.adapter.adapter_module_name=<null, or str module. Type: encoder, decoder, joint, or multiple with + between th	STRING
HIGH	examples/asr/asr_adapters/train_asr_adapter.py	52	model.adapter.adapter_module_name=<null, or str module. Type: encoder, decoder, joint, or multiple with + between th	STRING
HIGH	…s/dataset_processing/g2p/convert_cmu_arpabet_to_ipa.py	26	cd NeMo/scripts && python dataset_processing/g2p/convert_cmu_arpabet_to_ipa.py	STRING
HIGH	scripts/installers/setup_os2s_decoders.py	87	+ " >/dev/null 2>/dev/null && rm "	CODE

Hallucination Indicators15 hits · 115 pts

Severity	File	Line	Snippet	Context
CRITICAL	nemo/core/connectors/save_restore_connector.py	125	model = nemo.collections.asr.models.EncDecCTCModel.restore_from('asr.nemo')	STRING
CRITICAL	nemo/core/connectors/save_restore_connector.py	264	model = nemo.collections.asr.models.EncDecCTCModel.restore_from('asr.nemo')	STRING
CRITICAL	nemo/core/connectors/save_restore_connector.py	304	state_dict = nemo.collections.asr.models.EncDecCTCModel.extract_state_dict_from('asr.nemo', './ckpts')	STRING
CRITICAL	nemo/core/connectors/save_restore_connector.py	313	state_dict = nemo.collections.asr.models.EncDecCTCModel.extract_state_dict_from(	STRING
CRITICAL	nemo/core/classes/modelPT.py	463	model = nemo.collections.asr.models.EncDecCTCModel.restore_from('asr.nemo')	STRING
CRITICAL	nemo/core/classes/modelPT.py	1484	state_dict = nemo.collections.asr.models.EncDecCTCModel.extract_state_dict_from('asr.nemo', './ckpts')	STRING
CRITICAL	nemo/core/classes/modelPT.py	1493	state_dict = nemo.collections.asr.models.EncDecCTCModel.extract_state_dict_from(	STRING
CRITICAL	…parts/submodules/aed_decoding/aed_batched_streaming.py	110	pred_tokens_ids, batch_size, _ = self.asr_model.decoding.decoding.greedy_search._prepare_for_search(	CODE
CRITICAL	…parts/submodules/aed_decoding/aed_batched_streaming.py	142	self.asr_model.decoding.decoding.greedy_search._one_step_forward(	CODE
CRITICAL	…parts/submodules/aed_decoding/aed_batched_streaming.py	204	pred_tokens_ids, batch_size, _ = self.asr_model.decoding.decoding.greedy_search._prepare_for_search(	CODE
CRITICAL	…parts/submodules/aed_decoding/aed_batched_streaming.py	232	self.asr_model.decoding.decoding.greedy_search._one_step_forward(	CODE
CRITICAL	nemo/collections/tts/models/fastpitch.py	880	n_speakers = self.fastpitch.speaker_emb.weight.data.size()[0]	CODE
CRITICAL	tests/lightning/test_one_logger_callback.py	102	mock_provider_instance.with_base_config.return_value.with_export_config.return_value.configure_provider.assert_c	CODE
CRITICAL	…s/collections/speechlm2/test_packed_sequence_resume.py	23	previous.llm.model.embed_tokens.weight.square().sum().backward()	CODE
CRITICAL	tests/collections/tts/modules/test_transformer_2501.py	1234	assert moe_ffn.router.router.weight.grad.abs().sum() > 0, "Router weight grad must be non-zero"	CODE

Slop Phrases35 hits · 100 pts

Severity	File	Line	Snippet	Context
LOW	nemo/collections/asr/losses/ctc.py	46	# Don't forget to properly call base constructor	COMMENT
LOW	examples/asr/slurm_example.sh	34	CONTAINER=nvcr.io/nvidia/nemo:25.02.rc4 # Adjust to your needs. and make sure you have ngc key in ~/.config/enroot/.cred	CODE
MEDIUM	examples/tts/conf/fastpitch_ssl.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/fastpitch_align_ipa.yaml	2	# If you want to train a model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/fastpitch_align_44100_adapter.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/aligner.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/fastpitch_align_44100.yaml	2	# rate. If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/fastpitch_align_v1.05.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/fastpitch_align_ipa_adapter.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/hifigan_dataset/hifigan_44100.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/hifigan_dataset/hifigan_22050.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/hifigan/hifigan.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/hifigan/hifigan_44100.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/fastpitch/fastpitch_44100.yaml	2	# If you want to train a model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/fastpitch/fastpitch_22050.yaml	2	# If you want to train a model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/audio_codec/mel_codec_22050.yaml	3	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	…conf/audio_codec/audio_codec_low_frame_rate_22050.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/audio_codec/mel_codec_44100.yaml	3	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/audio_codec/audio_codec_44100.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/audio_codec/audio_codec_22050.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/audio_codec/audio_codec_16000.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/audio_codec/audio_codec_24000.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/audio_codec/encodec_24000.yaml	2	# If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	…es/tts/conf/zh/fastpitch_align_multispeaker_22050.yaml	2	# rate. If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/zh/fastpitch_align_22050.yaml	2	# rate. If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/de/fastpitch_align_44100_phoneme.yaml	2	# rate. If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/de/fastpitch_align_22050_mix.yaml	2	# rate. If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	…amples/tts/conf/de/fastpitch_align_44100_grapheme.yaml	2	# rate. If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	…amples/tts/conf/de/fastpitch_align_22050_grapheme.yaml	2	# rate. If you want to train model on other dataset, you can change config values according to your dataset.	COMMENT
MEDIUM	examples/tts/conf/es/fastpitch_align_44100_ipa.yaml	2	# 44.1KHz sampling rate. If you want to train model on other dataset, you can change config values according	COMMENT
MEDIUM	…mples/tts/conf/es/fastpitch_align_44100_ipa_multi.yaml	2	# 44.1KHz sampling rate. If you want to train model on other dataset, you can change config values according	COMMENT
MEDIUM	examples/tts/conf/es/fastpitch_align_44100.yaml	2	# 44.1KHz sampling rate. If you want to train model on other dataset, you can change config values according	COMMENT
MEDIUM	scripts/tokenizers/process_asr_text_tokenizer.py	38	# In either case, you can add commas to concatenate different manifests or different data files.	COMMENT
MEDIUM	…pts/dataset_processing/process_speech_commands_data.py	464	f'\n<<NOTE>> Duration computation was skipped for demonstration purposes on Colaboratory.\n'	CODE
MEDIUM	scripts/installers/install_opengrm.sh	20	# Alternatively, in the Linux Debian you can use: sudo apt install libngram-tools	COMMENT

Verbosity Indicators49 hits · 93 pts

Severity	File	Line	Snippet	Context
LOW⚡	…/collections/speechlm2/parts/metrics/results_logger.py	345	# Step 1: Each rank saves its own results with rank suffix	COMMENT
LOW⚡	…/collections/speechlm2/parts/metrics/results_logger.py	353	# Step 2: Synchronize all ranks before merging	COMMENT
LOW⚡	…/collections/speechlm2/parts/metrics/results_logger.py	357	# Step 3: Only rank 0 merges all results and computes final metrics	COMMENT
LOW⚡	…/collections/speechlm2/parts/metrics/results_logger.py	434	# Step 4: Broadcast metrics from rank 0 to all other ranks	COMMENT
LOW	…tions/common/losses/latent_speaker_supervision_loss.py	160	# Step 1: Identify speaker token positions and their speaker indices.	COMMENT
LOW⚡	…tions/common/losses/latent_speaker_supervision_loss.py	171	# Step 2: Forward-fill using cummax on position indices.	COMMENT
LOW⚡	…tions/common/losses/latent_speaker_supervision_loss.py	179	# Step 3: Gather the speaker index at the last speaker position.	COMMENT
LOW	nemo/collections/asr/models/online_diarizer.py	547	# Step 1: Get subsegments for embedding extraction.	COMMENT
LOW⚡	nemo/collections/asr/models/online_diarizer.py	586	# Step 4: Generate RTTM style diarization labels from segment ranges and cluster labels	COMMENT
LOW⚡	…llections/asr/parts/utils/multispk_transcribe_utils.py	1468	# Step 2: diarize or get GT rttms	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1489	# Step 3: update diar states	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1510	# Step 4: find active speakers	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1528	# Step 5: generate instance for active speakers	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1544	# Step 6:	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1558	# Step 7: ASR forward pass for active speakers	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1580	# Step 8: update ASR states	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1595	# Step 9: update seglsts with timestamps	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	690	# Step 1: Initialization	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	700	# Step 2: Get most likely labels for current frame	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	704	# Step 3: Get fusion scores	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	714	# Step 4: Get most likely labels with fusion scores. Labels that are blank or repeated are ignored.	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	720	# Step 5: Update labels if they initially weren't blank or repeated	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	725	# Step 6: Update fusion states and scores for non-blank and non-repeated labels	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	772	# Step 2: Get most likely labels for current frame	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	777	# Step 3: Get fusion scores	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	786	# Step 4: Get most likely labels with fusion scores. Labels that are blank or repeated are ignored.	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	792	# Step 5: Update labels if they initially weren't blank or repeated	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	800	# Step 6: Update fusion states and scores for non-blank and non-repeated labels	COMMENT
LOW	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	746	# Step 1: Initialization for fusion models	COMMENT
LOW	nemo/collections/asr/inference/streaming/state/state.py	219	# we need to check if the last token is the same as the first token of the completed output	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1021	# Step 1: Prepare parameters for sentence generation	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1028	# Step 2: Select a speaker	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1041	# Step 3: Generate a sentence	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1045	# Step 4: Generate a timestamp for either silence or overlap	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1542	# Step 1: Prepare parameters for sentence generation	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1549	# Step 2: Select a speaker	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1564	# Step 3: Generate a sentence	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1568	# Step 4: Generate a time-stamp for either silence or overlap	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1063	# Step 6: Build entries for output files	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1133	# Step 7: Normalize and write to disk	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1146	# Step 8: Clean up memory	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1589	# Step 6: Build entries for output files	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1652	# Step 7: Normalize and write to disk	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1936	# Step 1: Encode text input (always needed)	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1939	# Step 2: Get and scale attention prior	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1944	# Step 3: Process context based on model type	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1992	# Step 5: Apply CTC prior layer filtering	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1995	# Step 6: Return typed output	COMMENT
LOW	nemo/collections/tts/models/magpietts.py	1966	# Step 4: Dispatch to model-type-specific handler	COMMENT

Structural Annotation Overuse48 hits · 91 pts

Severity	File	Line	Snippet	Context
LOW⚡	…/collections/speechlm2/parts/metrics/results_logger.py	345	# Step 1: Each rank saves its own results with rank suffix	COMMENT
LOW⚡	…/collections/speechlm2/parts/metrics/results_logger.py	353	# Step 2: Synchronize all ranks before merging	COMMENT
LOW⚡	…/collections/speechlm2/parts/metrics/results_logger.py	357	# Step 3: Only rank 0 merges all results and computes final metrics	COMMENT
LOW⚡	…/collections/speechlm2/parts/metrics/results_logger.py	434	# Step 4: Broadcast metrics from rank 0 to all other ranks	COMMENT
LOW	…tions/common/losses/latent_speaker_supervision_loss.py	160	# Step 1: Identify speaker token positions and their speaker indices.	COMMENT
LOW⚡	…tions/common/losses/latent_speaker_supervision_loss.py	171	# Step 2: Forward-fill using cummax on position indices.	COMMENT
LOW⚡	…tions/common/losses/latent_speaker_supervision_loss.py	179	# Step 3: Gather the speaker index at the last speaker position.	COMMENT
LOW	nemo/collections/asr/models/online_diarizer.py	547	# Step 1: Get subsegments for embedding extraction.	COMMENT
LOW⚡	nemo/collections/asr/models/online_diarizer.py	580	# Step 3 - Clustering: Perform an online version of clustering algorithm	COMMENT
LOW⚡	nemo/collections/asr/models/online_diarizer.py	586	# Step 4: Generate RTTM style diarization labels from segment ranges and cluster labels	COMMENT
LOW⚡	…llections/asr/parts/utils/multispk_transcribe_utils.py	1468	# Step 2: diarize or get GT rttms	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1489	# Step 3: update diar states	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1510	# Step 4: find active speakers	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1528	# Step 5: generate instance for active speakers	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1558	# Step 7: ASR forward pass for active speakers	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1580	# Step 8: update ASR states	COMMENT
LOW	…llections/asr/parts/utils/multispk_transcribe_utils.py	1595	# Step 9: update seglsts with timestamps	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	690	# Step 1: Initialization	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	700	# Step 2: Get most likely labels for current frame	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	704	# Step 3: Get fusion scores	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	714	# Step 4: Get most likely labels with fusion scores. Labels that are blank or repeated are ignored.	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	720	# Step 5: Update labels if they initially weren't blank or repeated	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	725	# Step 6: Update fusion states and scores for non-blank and non-repeated labels	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	772	# Step 2: Get most likely labels for current frame	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	777	# Step 3: Get fusion scores	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	786	# Step 4: Get most likely labels with fusion scores. Labels that are blank or repeated are ignored.	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	792	# Step 5: Update labels if they initially weren't blank or repeated	COMMENT
LOW⚡	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	800	# Step 6: Update fusion states and scores for non-blank and non-repeated labels	COMMENT
LOW	…ollections/asr/parts/submodules/ctc_greedy_decoding.py	746	# Step 1: Initialization for fusion models	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1021	# Step 1: Prepare parameters for sentence generation	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1028	# Step 2: Select a speaker	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1041	# Step 3: Generate a sentence	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1045	# Step 4: Generate a timestamp for either silence or overlap	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1542	# Step 1: Prepare parameters for sentence generation	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1549	# Step 2: Select a speaker	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1564	# Step 3: Generate a sentence	COMMENT
LOW⚡	nemo/collections/asr/data/data_simulation.py	1568	# Step 4: Generate a time-stamp for either silence or overlap	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1063	# Step 6: Build entries for output files	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1133	# Step 7: Normalize and write to disk	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1146	# Step 8: Clean up memory	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1589	# Step 6: Build entries for output files	COMMENT
LOW	nemo/collections/asr/data/data_simulation.py	1652	# Step 7: Normalize and write to disk	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1936	# Step 1: Encode text input (always needed)	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1939	# Step 2: Get and scale attention prior	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1944	# Step 3: Process context based on model type	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1992	# Step 5: Apply CTC prior layer filtering	COMMENT
LOW⚡	nemo/collections/tts/models/magpietts.py	1995	# Step 6: Return typed output	COMMENT
LOW	nemo/collections/tts/models/magpietts.py	1966	# Step 4: Dispatch to model-type-specific handler	COMMENT

AI Slop Vocabulary35 hits · 66 pts

Severity	File	Line	Snippet	Context
LOW	tools/speech_data_explorer/data_explorer.py	1407	# If using tarred audio, just return the filename as-is.	COMMENT
LOW	nemo/lightning/callback_group.py	163	# If we're already inside a wrapped __init__, just call the original	COMMENT
LOW	nemo/core/connectors/save_restore_connector.py	431	# artifact is optional and we simply return None	COMMENT
LOW	nemo/core/classes/common.py	1380	# If types are not defined, skip type checks and just call the wrapped method	COMMENT
LOW	nemo/core/optim/optimizers.py	144	# If we are provided just a Config object, simply return the dictionary of that object	COMMENT
LOW	nemo/core/optim/optimizers.py	156	# simply return the dictionary that was provided	COMMENT
LOW	nemo/agents/voice_agent/pipecat/services/nemo/diar.py	312	# if diarization is disabled, just pass the frame through	COMMENT
MEDIUM	nemo/collections/speechlm2/models/duplex_ear_tts.py	380	# EOS dropout to make the model more robust	COMMENT
MEDIUM	nemo/collections/speechlm2/models/duplex_ear_tts.py	428	# BOS dropout to make the model more robust	COMMENT
MEDIUM	nemo/collections/speechlm2/models/duplex_ear_tts.py	449	# BOS dropout to make the model more robust	COMMENT
LOW	nemo/collections/speechlm2/modules/speech_generation.py	115	# ToDo: move it to cache to need to just create a 1 frame tensor in inference	COMMENT
LOW	nemo/collections/common/data/dataset.py	474	# if min_monolingual fires, it means we will just return a single, original monolingual utterance	COMMENT
LOW	nemo/collections/common/data/lhotse/dataloader.py	1253	# Bucket duration bins are provided: just use them.	COMMENT
LOW	nemo/collections/common/data/lhotse/nemo_adapters.py	747	# just return self.	COMMENT
MEDIUM	nemo/collections/audio/data/audio_to_audio_lhotse.py	69	# TODO: use fault_tolerant=True for robust loading of target	COMMENT
MEDIUM	nemo/collections/audio/data/audio_to_audio_lhotse.py	73	# TODO: use fault_tolerant=True for robust loading of target	COMMENT
LOW	…ctions/asr/models/hybrid_rnnt_ctc_bpe_models_prompt.py	351	# RNNT Path - just use encoded outputs directly	COMMENT
MEDIUM	nemo/collections/asr/parts/mixins/diarization.py	486	# Be robust to callers accidentally passing "an array of arrays" (dtype=object),	COMMENT
MEDIUM⚡	…mo/collections/asr/parts/utils/asr_confidence_utils.py	405	"""Implemented by subclass in order to aggregate token confidence to a word-level confidence.	STRING
LOW	nemo/collections/asr/parts/submodules/jasper.py	139	# simply return symmetric padding for this scenario	COMMENT
MEDIUM	nemo/collections/asr/parts/submodules/ctc_decoding.py	805	# If the exact timestep information is available, utilize the 1st non-ctc blank token timestep	COMMENT
MEDIUM	…odules/magpietts_inference/evaluate_generated_audio.py	660	# Japanese: additional reading-based CER on Katakana (pyopenjtalk g2p), robust to	COMMENT
LOW	…/collections/tts/data/text_to_speech_dataset_lhotse.py	407	# If context audio is not available, just use a dummy context_audio_codes	COMMENT
LOW	nemo/collections/tts/data/text_to_speech_dataset.py	609	# If context audio is not available, just use a dummy context_audio_codes	COMMENT
LOW	tests/collections/common/test_lhotse_dataloading.py	1675	# in this test we'll just use 0.1 for simplicity	COMMENT
LOW	tests/collections/common/test_lhotse_dataloading.py	1752	# in this test we'll just use 0.1 for simplicity	COMMENT
LOW	tests/collections/common/test_lhotse_dataloading.py	1779	# in this test we'll just use 0.1 for simplicity	COMMENT
LOW	tests/collections/common/test_lhotse_dataloading.py	1880	# in this test we'll just use 0.1 for simplicity	COMMENT
LOW	tests/collections/common/test_lhotse_dataloading.py	1907	# in this test we'll just use 0.1 for simplicity	COMMENT
LOW	tests/collections/common/test_lhotse_dataloading.py	1997	# in this test we'll just use 0.1 for simplicity	COMMENT
LOW	tests/collections/common/test_lhotse_dataloading.py	2024	# in this test we'll just use 0.1 for simplicity	COMMENT
LOW	examples/speechlm2/salm_eval.py	147	# If no user prompt is provided, just use the audio placeholder.	COMMENT
MEDIUM	…t/server/parsers/nemotron_toolcall_parser_streaming.py	510	# re-set stuff pertaining to progress in the current tool	COMMENT
MEDIUM	scripts/tokenizers/conf/tabular_data_tokenizer.yaml	9	transform: yeo-johnson # can be ['yeo-johnson', 'quantile', 'robust'], check https://scikit-learn.org/stable/modul	CODE
MEDIUM	…/speech_recognition/convert_to_tarred_audio_dataset.py	32	# supplied to the config in order to utilize webdataset for efficient large dataset handling.	STRING

Modern AI Meta-Vocabulary13 hits · 37 pts

Severity	File	Line	Snippet	Context
MEDIUM	tools/easymagpie_vllm_omni/README.md	215	# Benchmark zero-shot synthesis with one request-time reference.	COMMENT
MEDIUM	nemo/collections/asr/models/online_diarizer.py	108	# Set speaker embedding model in eval mode	COMMENT
MEDIUM	…ns/asr/parts/context_biasing/boosting_graph_batched.py	77	1.0 # The score for eos token after detected end of context phrase to prevent hallucination for AED models	CODE
MEDIUM	…collections/asr/parts/submodules/multitask_decoding.py	638	hallucinations_detector: bool = True # detect hallucinations in the predicted tokens	CODE
MEDIUM	nemo/collections/asr/parts/submodules/jasper.py	456	# Set default context window	COMMENT
MEDIUM	…parts/submodules/aed_decoding/aed_batched_streaming.py	170	# check for hallucinations	COMMENT
MEDIUM	…parts/submodules/aed_decoding/aed_batched_streaming.py	304	# check for hallucinations	COMMENT
MEDIUM	…parts/submodules/aed_decoding/aed_batched_streaming.py	347	# we need to have at least 8 tokens to run hallucinations detector	COMMENT
MEDIUM	nemo/collections/asr/inference/nmt/prompts.py	258	# Remove any trailing punctuation to reduce the risk of hallucination	COMMENT
MEDIUM	nemo/collections/asr/inference/nmt/llm_translator.py	347	# Remove hallucinations if ASR transcript is empty string	COMMENT
MEDIUM	nemo/collections/tts/models/easy_magpietts_inference.py	436	# This enables keeping the zero-shot conditioning module private at release time.	COMMENT
MEDIUM	…odules/magpietts_inference/evaluate_generated_audio.py	337	# the embedding model doesn't accept NumPy arrays, so we write to a temporary file	COMMENT
MEDIUM	tests/collections/asr/test_parallel_expert_encoder.py	167	# _forward_online orchestration (stubbed ASR encoder, provided spk_targets)	COMMENT

Fake / Example Data13 hits · 18 pts

Severity	File	Line	Snippet	Context
LOW	tests/setup/data/create_sample_jsonl.py	36	"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore "	CODE
LOW	tests/setup/data/create_sample_jsonl.py	36	"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore "	CODE
LOW⚡	…ollections/common/test_indexed_full_validator_stats.py	130	with pytest.raises(Exception, match="placeholder"):	CODE
LOW⚡	tests/collections/asr/test_text_to_text_dataset.py	66	"lorem ipsum dolor sit amet consectetur adipiscing elit",	CODE
LOW⚡	tests/collections/asr/test_text_to_text_dataset.py	66	"lorem ipsum dolor sit amet consectetur adipiscing elit",	CODE
LOW⚡	tests/collections/asr/test_text_to_text_dataset.py	80	"lorem ipsum dolor sit amet consectetur adipiscing elit",	CODE
LOW⚡	tests/collections/asr/test_text_to_text_dataset.py	80	"lorem ipsum dolor sit amet consectetur adipiscing elit",	CODE
LOW⚡	tests/collections/asr/test_text_to_text_dataset.py	81	"Lorem ipsum dolor sit amet, consectetur adipiscing elit.",	CODE
LOW⚡	tests/collections/asr/test_text_to_text_dataset.py	81	"Lorem ipsum dolor sit amet, consectetur adipiscing elit.",	CODE
LOW⚡	tests/collections/asr/inference/test_bpe_decoder.py	50	"lorem ipsum dolor sit amet",	CODE
LOW⚡	tests/collections/asr/inference/test_bpe_decoder.py	50	"lorem ipsum dolor sit amet",	CODE
LOW⚡	tests/collections/asr/inference/test_bpe_decoder.py	78	"lorem ipsum dolor sit amet",	CODE
LOW⚡	tests/collections/asr/inference/test_bpe_decoder.py	78	"lorem ipsum dolor sit amet",	CODE

Synthetic Comment Markers1 hit · 8 pts

Severity	File	Line	Snippet	Context
HIGH	nemo/collections/common/data/lhotse/cutset.py	925	# as requested by pzelasko	COMMENT

TODO Padding4 hits · 6 pts

Severity	File	Line	Snippet	Context
LOW	nemo/collections/asr/parts/submodules/subsampling.py	551	# TODO: implement lengths inside conv_split_by_channel	COMMENT
LOW	nemo/collections/asr/data/text_to_text.py	328	# TODO: implement, if we really need normalization inplace	COMMENT
LOW	…s/speaker_tasks/utils/test_data_simul_utils_speaker.py	297	# TODO: add tests for all util functions	COMMENT
LOW	…sts/collections/asr/utils/test_data_simul_utils_asr.py	297	# TODO: add tests for all util functions	COMMENT

Example Usage Blocks3 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	nemo/core/classes/dataset.py	85	# Usage:	STRING
LOW	examples/asr/speech_classification/frame_vad_infer.py	22	## Usage:	STRING
LOW	…/speech_recognition/convert_to_tarred_audio_dataset.py	35	# Usage:	STRING

Maintenance and Governance Review

Risk Review · v3

What These Metrics Mean

Pattern-Signal History

Severity Breakdown

Directory Score Breakdown

Pattern Findings