Project-MONAI/MONAI

20.0

Adjusted Score

20.0

Raw Score

100%

Time Factor

2026-07-12

Last Push

8.4K

Stars

Python

Language

277.1K

Lines of Code

1.4K

Files

5.2K

Pattern Hits

2026-07-14

Scan Date

0.10

HC Hit Rate

What These Metrics Mean

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

Score History

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

Severity Breakdown

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

CRITICAL 9HIGH 134MEDIUM 143LOW 4946

Directory Score Breakdown

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

Pattern Findings

The scanner identified 5232 distinct pattern matches across 20 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

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

Unused Imports3018 hits · 2339 pts

Severity	File	Line	Context
LOW	setup.py	12	CODE
LOW	monai/__init__.py	12	CODE
LOW	monai/metrics/generalized_dice.py	12	CODE
LOW	monai/metrics/loss_metric.py	12	CODE
LOW	monai/metrics/wrapper.py	12	CODE
LOW	monai/metrics/meandice.py	12	CODE
LOW	monai/metrics/f_beta_score.py	12	CODE
LOW	monai/metrics/regression.py	12	CODE
LOW	monai/metrics/absolute_volume_difference.py	12	CODE
LOW	monai/metrics/embedding_collapse.py	12	CODE
LOW	monai/metrics/cumulative_average.py	12	CODE
LOW	monai/metrics/__init__.py	12	CODE
LOW	monai/metrics/__init__.py	14	CODE
LOW	monai/metrics/__init__.py	14	CODE
LOW	monai/metrics/__init__.py	15	CODE
LOW	monai/metrics/__init__.py	15	CODE
LOW	monai/metrics/__init__.py	15	CODE
LOW	monai/metrics/__init__.py	15	CODE
LOW	monai/metrics/__init__.py	16	CODE
LOW	monai/metrics/__init__.py	16	CODE
LOW	monai/metrics/__init__.py	17	CODE
LOW	monai/metrics/__init__.py	17	CODE
LOW	monai/metrics/__init__.py	17	CODE
LOW	monai/metrics/__init__.py	18	CODE
LOW	monai/metrics/__init__.py	18	CODE
LOW	monai/metrics/__init__.py	18	CODE
LOW	monai/metrics/__init__.py	19	CODE
LOW	monai/metrics/__init__.py	20	CODE
LOW	monai/metrics/__init__.py	20	CODE
LOW	monai/metrics/__init__.py	21	CODE
LOW	monai/metrics/__init__.py	22	CODE
LOW	monai/metrics/__init__.py	22	CODE
LOW	monai/metrics/__init__.py	23	CODE
LOW	monai/metrics/__init__.py	23	CODE
LOW	monai/metrics/__init__.py	23	CODE
LOW	monai/metrics/__init__.py	23	CODE
LOW	monai/metrics/__init__.py	24	CODE
LOW	monai/metrics/__init__.py	24	CODE
LOW	monai/metrics/__init__.py	25	CODE
LOW	monai/metrics/__init__.py	25	CODE
LOW	monai/metrics/__init__.py	26	CODE
LOW	monai/metrics/__init__.py	27	CODE
LOW	monai/metrics/__init__.py	27	CODE
LOW	monai/metrics/__init__.py	27	CODE
LOW	monai/metrics/__init__.py	28	CODE
LOW	monai/metrics/__init__.py	28	CODE
LOW	monai/metrics/__init__.py	29	CODE
LOW	monai/metrics/__init__.py	29	CODE
LOW	monai/metrics/__init__.py	29	CODE
LOW	monai/metrics/__init__.py	29	CODE
LOW	monai/metrics/__init__.py	30	CODE
LOW	monai/metrics/__init__.py	30	CODE
LOW	monai/metrics/__init__.py	31	CODE
LOW	monai/metrics/__init__.py	31	CODE
LOW	monai/metrics/__init__.py	32	CODE
LOW	monai/metrics/__init__.py	32	CODE
LOW	monai/metrics/__init__.py	32	CODE
LOW	monai/metrics/__init__.py	32	CODE
LOW	monai/metrics/__init__.py	32	CODE
LOW	monai/metrics/__init__.py	32	CODE
2958 more matches not shown…

Hyper-Verbose Identifiers925 hits · 987 pts

Severity	File	Line	Snippet	Context
LOW	versioneer.py	601	def git_versions_from_keywords(keywords, tag_prefix, verbose):	CODE
LOW	versioneer.py	1123	def git_versions_from_keywords(keywords, tag_prefix, verbose):	STRING
LOW	monai/_version.py	168	def git_versions_from_keywords(keywords, tag_prefix, verbose):	CODE
LOW	monai/metrics/regression.py	249	def compute_mean_error_metrics(y_pred: torch.Tensor, y: torch.Tensor, func: Callable) -> torch.Tensor:	STRING
LOW	monai/metrics/absolute_volume_difference.py	133	def compute_absolute_volume_difference(	CODE
LOW	monai/metrics/embedding_collapse.py	129	def compute_embedding_collapse(	CODE
LOW	monai/metrics/surface_distance.py	123	def compute_average_surface_distance(	CODE
LOW	monai/metrics/panoptic_quality.py	303	def _check_panoptic_metric_name(metric_name: str) -> str:	CODE
LOW	monai/metrics/average_precision.py	118	def compute_average_precision(	CODE
LOW	monai/metrics/utils.py	326	def get_edge_surface_distance(	CODE
LOW	monai/metrics/utils.py	505	def compute_voronoi_regions_fast(labels: np.ndarray \| torch.Tensor) -> torch.Tensor:	CODE
LOW	monai/metrics/utils.py	563	def _get_neighbour_code_to_normals_table(device=None):	CODE
LOW	monai/metrics/utils.py	836	def create_table_neighbour_code_to_surface_area(spacing_mm, device=None):	CODE
LOW	monai/metrics/utils.py	865	def create_table_neighbour_code_to_contour_length(spacing_mm, device=None):	CODE
LOW	monai/metrics/utils.py	907	def get_code_to_measure_table(spacing, device=None):	CODE
LOW	monai/metrics/hausdorff_distance.py	132	def compute_hausdorff_distance(	CODE
LOW	monai/metrics/hausdorff_distance.py	196	def _compute_percentile_hausdorff_distance(	CODE
LOW	monai/metrics/confusion_matrix.py	179	def compute_confusion_matrix_metric(metric_name: str, confusion_matrix: torch.Tensor) -> torch.Tensor:	CODE
LOW	monai/metrics/confusion_matrix.py	274	def check_confusion_matrix_metric_name(metric_name: str) -> str:	CODE
LOW	monai/losses/perceptual.py	319	def medicalnet_intensity_normalisation(volume):	CODE
LOW	monai/losses/dice.py	648	def _compute_generalized_true_positive(	CODE
LOW	monai/losses/dice.py	684	def _compute_alpha_generalized_true_positives(self, flat_target: torch.Tensor) -> torch.Tensor:	CODE
LOW	monai/losses/image_dissimilarity.py	262	def parzen_windowing_b_spline(self, img: torch.Tensor, order: int) -> tuple[torch.Tensor, torch.Tensor]:	CODE
LOW	monai/losses/image_dissimilarity.py	313	def parzen_windowing_gaussian(self, img: torch.Tensor) -> tuple[torch.Tensor, torch.Tensor]:	CODE
LOW	monai/auto3dseg/utils.py	527	def list_to_python_fire_arg_str(args: list) -> str:	CODE
LOW	monai/auto3dseg/utils.py	541	def check_and_set_optional_args(params: dict) -> str:	CODE
LOW	monai/config/deviceconfig.py	67	def get_optional_config_values():	CODE
LOW	monai/bundle/config_parser.py	558	def resolve_macro_and_relative_ids(self):	CODE
LOW	monai/bundle/config_item.py	73	def _find_classes_or_functions(self, modnames: Sequence[str] \| str) -> dict[str, list]:	CODE
LOW	monai/bundle/config_item.py	96	def get_component_module_name(self, name: str) -> list[str] \| str \| None:	CODE
LOW⚡	monai/bundle/scripts.py	178	def _get_ngc_private_base_url(repo: str) -> str:	CODE
LOW⚡	monai/bundle/scripts.py	182	def _get_ngc_private_bundle_url(model_name: str, version: str, repo: str) -> str:	CODE
LOW⚡	monai/bundle/scripts.py	186	def _get_monaihosting_bundle_url(model_name: str, version: str) -> str:	CODE
LOW	monai/bundle/scripts.py	200	def _download_from_monaihosting(download_path: Path, filename: str, version: str, progress: bool) -> None:	CODE
LOW	monai/bundle/scripts.py	207	def _download_from_bundle_info(download_path: Path, filename: str, version: str, progress: bool) -> None:	CODE
LOW	monai/bundle/scripts.py	263	def _download_from_ngc_private(	CODE
LOW	monai/bundle/scripts.py	376	def _get_latest_bundle_version_ngc(name: str, repo: str \| None = None, headers: dict \| None = None) -> str:	CODE
LOW	monai/bundle/scripts.py	407	def _get_latest_bundle_version(	CODE
LOW	monai/utils/misc.py	845	def _calculate_conversion_factor(self):	CODE
LOW	monai/utils/misc.py	857	def check_kwargs_exist_in_class_init(cls, kwargs):	CODE
LOW	monai/utils/type_conversion.py	47	def get_numpy_dtype_from_string(dtype: str) -> np.dtype:	CODE
LOW	monai/utils/type_conversion.py	52	def get_torch_dtype_from_string(dtype: str) -> torch.dtype:	CODE
LOW	monai/utils/ordering.py	97	def get_revert_sequence_ordering(self) -> np.ndarray:	CODE
LOW	monai/utils/module.py	145	def damerau_levenshtein_distance(s1: str, s2: str) -> int:	CODE
LOW	monai/utils/module.py	646	def compute_capabilities_after(major: int, minor: int = 0, current_ver_string: str \| None = None) -> bool:	CODE
LOW⚡	monai/utils/dist.py	48	def evenly_divisible_all_gather(data: torch.Tensor, concat: Literal[True]) -> torch.Tensor: ...	CODE
LOW⚡	monai/utils/dist.py	52	def evenly_divisible_all_gather(data: torch.Tensor, concat: Literal[False]) -> list[torch.Tensor]: ...	CODE
LOW⚡	monai/utils/dist.py	56	def evenly_divisible_all_gather(data: torch.Tensor, concat: bool) -> torch.Tensor \| list[torch.Tensor]: ...	CODE
LOW⚡	monai/utils/dist.py	59	def evenly_divisible_all_gather(data: torch.Tensor, concat: bool = True) -> torch.Tensor \| list[torch.Tensor]:	CODE
LOW	monai/utils/profiling.py	70	def torch_profiler_time_cpu_gpu(func):	CODE
LOW	monai/utils/profiling.py	95	def torch_profiler_time_end_to_end(func):	CODE
LOW	monai/visualize/class_activation_maps.py	208	def _upsample_and_post_process(self, acti_map, x):	CODE
LOW	monai/visualize/img2tensorboard.py	80	def make_animated_gif_summary(	CODE
LOW	monai/inferers/splitter.py	194	def _get_valid_shape_parameters(	CODE
LOW	monai/inferers/inferer.py	1128	def _approx_standard_normal_cdf(self, x):	CODE
LOW	monai/inferers/inferer.py	1138	def _get_decoder_log_likelihood(	CODE
LOW	monai/networks/utils.py	96	def has_nvfuser_instance_norm():	CODE
LOW	monai/networks/blocks/pos_embed_utils.py	34	def build_fourier_position_embedding(	CODE
LOW	monai/networks/blocks/pos_embed_utils.py	87	def build_sincos_position_embedding(	CODE
LOW	monai/networks/blocks/crf.py	115	def _create_coordinate_tensor(tensor):	CODE
865 more matches not shown…

Docstring Block Structure84 hits · 420 pts

Severity	File	Line	Snippet	Context
HIGH	monai/metrics/generalized_dice.py	67	Computes the Generalized Dice Score and returns a tensor with its per image values. Args:	STRING
HIGH	monai/metrics/generalized_dice.py	122	Computes the Generalized Dice Score and returns a tensor with its per image values. Args: y_pred (torc	STRING
HIGH	monai/metrics/absolute_volume_difference.py	136	Compute the Absolute Volume Difference (AVD) for a batch of segmentation predictions. AVD is defined per class	STRING
HIGH	monai/metrics/embedding_collapse.py	97	Compute collapse scores. Args: embeddings: float tensor of shape ``[N, D]``. Required.	STRING
HIGH	monai/metrics/embedding_collapse.py	137	Functional form of :class:`EmbeddingCollapseMetric`. Computes a suite of representational collapse indicators from	STRING
HIGH	monai/metrics/embedding_collapse.py	423	Fit a linear classifier on embeddings and return test accuracy. Used to validate that collapse scores predict downs	STRING
HIGH	monai/metrics/utils.py	445	This function is used to prepare the `spacing` parameter to include batch dimension for the computation of surf	STRING
HIGH	monai/metrics/utils.py	506	Voronoi assignment to connected components (CPU, single EDT) without cc3d. Returns the ID of the nearest compon	STRING
HIGH	monai/metrics/meaniou.py	108	Computes Intersection over Union (IoU) score metric from a batch of predictions. Args: y_pred: input data t	STRING
HIGH	monai/metrics/surface_dice.py	80	Args: y_pred: Predicted segmentation, typically segmentation model output. It must	STRING
HIGH	monai/metrics/surface_dice.py	146	This function computes the (Normalized) Surface Dice (NSD) between the two tensors `y_pred` (referred to as :ma	STRING
HIGH	monai/metrics/calibration.py	29	Compute calibration bins for predicted probabilities and ground truth labels. This function implements hard bi	STRING
HIGH	monai/losses/ds_loss.py	72	Args: input: a single tensor or a list of tensors from deeply supervised network outputs.	STRING
HIGH	monai/losses/dice.py	829	Args: input: the shape should be BNH[WD]. target: the shape should be BNH[WD] or B1H[WD	STRING
HIGH	monai/losses/dice.py	961	Args: input: the shape should be BNH[WD]. The input should be the original logits d	STRING
HIGH	monai/losses/dice.py	1083	Args: input (torch.Tensor): the shape should be BNH[WD]. The input should be the original logits	STRING
HIGH	monai/losses/aucm_loss.py	91	Args: input: the shape should be B1HW[D], where the channel dimension is 1 for binary classificatio	STRING
HIGH	monai/losses/hausdorff_loss.py	229	Compute the logarithm of the Hausdorff Distance Transform Loss. Args: input (torch.Tensor)	STRING
HIGH	monai/auto3dseg/analyzer.py	175	Analyzer to extract image stats properties for each case(image). Args: image_key: the key to find imag	STRING
HIGH	monai/auto3dseg/analyzer.py	426	Callable to execute the pre-defined functions. Returns: A dictionary. The dict has the key	STRING
HIGH	monai/auto3dseg/analyzer.py	587	Callable to execute the pre-defined functions Returns: A dictionary. The dict has the key	STRING
HIGH	monai/auto3dseg/analyzer.py	665	Callable to execute the pre-defined functions. Returns: A dictionary. The dict has the key	STRING
HIGH	monai/auto3dseg/analyzer.py	754	Callable to execute the pre-defined functions Returns: A dictionary. The dict has the key	STRING
HIGH	monai/auto3dseg/analyzer.py	1008	Callable to execute the pre-defined functions Returns: A dictionary. The dict has the key	STRING
HIGH	monai/auto3dseg/seg_summarizer.py	174	Summarize the input list of data and generates a report ready for json/yaml export. Args:	STRING
HIGH	monai/auto3dseg/utils.py	70	Get a foreground image by removing all-zero rectangles on the edges of the image Note for the developer: update	STRING
HIGH	monai/auto3dseg/utils.py	424	Import the Algo object from a JSON file (pickle-free serialization). Args: filename: the name of the s	STRING
HIGH	monai/auto3dseg/utils.py	554	Prepare the command for subprocess to run the script with the given arguments. Args: cmd: the command	STRING
HIGH	monai/auto3dseg/utils.py	585	Prepare the command for multi-gpu/multi-node job execution using torchrun. Args: cmd: the command or s	STRING
HIGH	monai/auto3dseg/utils.py	607	Prepare the command for distributed job running using bcprun. Args: script: the script to run in the d	STRING
HIGH	monai/bundle/config_parser.py	134	Resolve ``key`` as a nested config id. Args: key: the child key/index. Returns:	STRING
HIGH	monai/bundle/scripts.py	1871	Push a MONAI bundle to the Hugging Face Hub. Typical usage examples: .. code-block:: bash python	STRING
HIGH	monai/utils/misc.py	230	Given a dictionary whose values contain scalars or tuples (with the same length as ``keys``), Create a dictiona	STRING
HIGH	monai/utils/module.py	327	Imports an optional module specified by `module` string. Any importing related exceptions will be stored, and e	STRING
HIGH	monai/inferers/merger.py	498	Iterate over chunks of a given shape. Args: chunks: the chunk shape cdata_shape: the shape of	STRING
HIGH	monai/networks/utils.py	371	Apply pixel shuffle to the tensor `x` with spatial dimensions `spatial_dims` and scaling factor `scale_factor`.	STRING
HIGH	monai/networks/utils.py	416	Apply pixel unshuffle to the tensor `x` with spatial dimensions `spatial_dims` and scaling factor `scale_factor`.	STRING
HIGH	monai/networks/utils.py	551	Compute a module state_dict, of which the keys are the same as `dst`. The values of `dst` are overwritten by th	STRING
HIGH	monai/networks/utils.py	1138	Replace sub-module(s) in a parent module. The name of the module to be replace can be nested e.g., `featur	STRING
HIGH	monai/networks/layers/simplelayers.py	208	Apply 1-D convolutions along each spatial dimension of `x`. Args: x: the input image. must have shape	STRING
HIGH	monai/networks/layers/simplelayers.py	253	Filtering `x` with `kernel` independently for each batch and channel respectively. Args: x: the input	STRING
HIGH	monai/networks/layers/convutils.py	81	one dimensional Gaussian kernel. Args: sigma: std of the kernel truncated: tail length	STRING
HIGH	monai/networks/layers/factories.py	164	Split arguments in a way to be suitable for using with the factory types. If `args` is a string it's interpreted as	STRING
HIGH	monai/networks/nets/mednext.py	277	Factory method to create MedNeXt variants. Args: variant (str): The MedNeXt variant to create ('S', 'B	STRING
HIGH	monai/networks/nets/efficientnet.py	961	Get a BlockArgs object from a string notation of arguments. Args: block_string (str): A st	STRING
HIGH	monai/networks/nets/resnet.py	621	Download resnet pretrained weights from https://huggingface.co/TencentMedicalNet Args: resnet_depth: d	STRING
HIGH	monai/networks/nets/hyena_nd_unetr.py	116	Build a :class:`HyenaNDUNETR` matching one of the NeurIPS 2026 paper variants. Args: variant: one o	STRING
HIGH	monai/networks/nets/swin_unetr.py	102	Args: in_channels: dimension of input channels. out_channels: dimension of output chann	STRING
HIGH	monai/transforms/utils.py	1623	Generate extreme points from an image. These are used to generate initial segmentation for annotation models. A	STRING
HIGH	monai/transforms/transform.py	54	Perform a transform 'transform' on 'data', according to the other parameters specified. If `data` is a tuple a	STRING
HIGH	monai/transforms/transform.py	110	Transform `data` with `transform`. If `data` is a list or tuple and `map_data` is True, each item of `data` wi	STRING
HIGH	monai/transforms/transform.py	201	Set the random state locally, to control the randomness, the derived classes should use :py:attr:`self.	STRING
HIGH	monai/transforms/inverse.py	345	Get most recent matching transform for the current class from the sequence of applied operations. Args	STRING
HIGH	monai/transforms/inverse.py	387	Return and pop the most recent transform. Args: data: dictionary of data or `MetaTensor`	STRING
HIGH	monai/transforms/post/dictionary.py	517	Dictionary-based wrapper of :py:class:`monai.transforms.GenerateHeatmap`. Converts landmark coordinates into ga	STRING
HIGH	monai/transforms/post/array.py	483	Filter the image on the `applied_labels`. Args: img: Pytorch tensor or numpy array of any	STRING
HIGH	monai/transforms/post/array.py	567	Fill the holes in the provided image. Note: The value 0 is assumed as background label.	STRING
HIGH	monai/transforms/post/array.py	610	Args: img: torch tensor data to extract the contour, with shape: [channels, height, width[, depth]]	STRING
HIGH	monai/transforms/post/array.py	758	Generate per-landmark Gaussian heatmaps for 2D or 3D coordinates. Notes: - Coordinates are interpreted	STRING
HIGH	monai/transforms/post/array.py	811	Args: points: landmark coordinates as ndarray/Tensor with shape (N, D), ordered as	STRING
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Decorative Section Separators91 hits · 284 pts

Severity	File	Line	Snippet	Context
MEDIUM	monai/metrics/embedding_collapse.py	231	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	monai/metrics/embedding_collapse.py	233	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	monai/metrics/embedding_collapse.py	411	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	monai/metrics/embedding_collapse.py	413	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	monai/inferers/utils.py	157	# -----------------------------------------------------------------	COMMENT
MEDIUM	monai/networks/blocks/backbone_fpn_utils.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/blocks/feature_pyramid_network.py	12	# =========================================================================	COMMENT
MEDIUM⚡	monai/networks/blocks/hyena.py	76	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	monai/networks/blocks/hyena.py	78	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	monai/networks/blocks/hyena.py	230	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	monai/networks/blocks/hyena.py	232	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	monai/networks/blocks/hyena.py	427	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	monai/networks/blocks/hyena.py	429	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	monai/networks/nets/diffusion_model_unet.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/nets/diffusion_model_unet.py	30	# =========================================================================	COMMENT
MEDIUM	monai/networks/nets/hovernet.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/nets/hovernet.py	28	# =========================================================================	COMMENT
MEDIUM	monai/networks/nets/controlnet.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/nets/controlnet.py	30	# =========================================================================	COMMENT
MEDIUM	monai/networks/nets/spade_diffusion_model_unet.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/nets/spade_diffusion_model_unet.py	30	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/ddim.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/ddim.py	30	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/pndm.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/pndm.py	30	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/rectified_flow.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/rectified_flow.py	27	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/scheduler.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/scheduler.py	30	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/ddpm.py	12	# =========================================================================	COMMENT
MEDIUM	monai/networks/schedulers/ddpm.py	30	# =========================================================================	COMMENT
MEDIUM	monai/data/image_reader.py	794	# =========================================================================	STRING
MEDIUM	monai/data/image_reader.py	814	# =========================================================================	STRING
MEDIUM	monai/apps/detection/metrics/coco.py	12	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/metrics/coco.py	28	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/metrics/matching.py	12	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/metrics/matching.py	28	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/utils/hard_negative_sampler.py	12	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/utils/box_coder.py	12	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/utils/box_selector.py	12	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/utils/anchor_utils.py	12	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/utils/ATSS_matcher.py	12	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/utils/ATSS_matcher.py	28	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/networks/retinanet_network.py	12	# =========================================================================	COMMENT
MEDIUM	monai/apps/detection/networks/retinanet_detector.py	12	# =========================================================================	COMMENT
MEDIUM	…eneration/maisi/networks/diffusion_model_unet_maisi.py	12	# =========================================================================	COMMENT
MEDIUM	…eneration/maisi/networks/diffusion_model_unet_maisi.py	30	# =========================================================================	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	26	# ------------------------------------------------------------------	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	28	# ------------------------------------------------------------------	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	44	# ------------------------------------------------------------------	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	46	# ------------------------------------------------------------------	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	57	# ------------------------------------------------------------------	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	59	# ------------------------------------------------------------------	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	70	# ------------------------------------------------------------------	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	72	# ------------------------------------------------------------------	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	83	# ------------------------------------------------------------------	COMMENT
MEDIUM	tests/losses/test_aucm_loss.py	85	# ------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/losses/test_aucm_loss.py	96	# ------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/losses/test_aucm_loss.py	98	# ------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/losses/test_aucm_loss.py	100	# ------------------------------------------------------------------	COMMENT
31 more matches not shown…

AI Structural Patterns269 hits · 268 pts

Severity	File	Line	Context
LOW	monai/metrics/meandice.py	285	CODE
LOW	monai/metrics/regression.py	307	CODE
LOW	monai/metrics/regression.py	508	CODE
LOW	monai/losses/perceptual.py	88	CODE
LOW	monai/losses/dice.py	55	CODE
LOW	monai/losses/dice.py	240	CODE
LOW	monai/losses/dice.py	322	CODE
LOW	monai/losses/dice.py	712	CODE
LOW	monai/losses/dice.py	874	CODE
LOW	monai/losses/dice.py	1038	CODE
LOW	monai/losses/tversky.py	40	CODE
LOW	monai/losses/mcc_loss.py	54	CODE
LOW	monai/losses/cldice.py	120	CODE
LOW	monai/losses/cldice.py	270	CODE
LOW	monai/losses/hausdorff_loss.py	44	CODE
LOW	monai/fl/client/monai_algo.py	346	CODE
LOW	monai/bundle/workflows.py	405	CODE
LOW	monai/bundle/scripts.py	446	CODE
LOW	monai/bundle/scripts.py	628	CODE
LOW	monai/bundle/scripts.py	924	CODE
LOW	monai/bundle/scripts.py	1158	CODE
LOW	monai/bundle/scripts.py	1323	CODE
LOW	monai/bundle/scripts.py	1437	CODE
LOW	monai/bundle/scripts.py	1571	CODE
LOW	monai/visualize/utils.py	34	CODE
LOW	monai/optimizers/lr_finder.py	256	CODE
LOW	monai/inferers/utils.py	42	CODE
LOW	monai/inferers/inferer.py	130	CODE
LOW	monai/inferers/inferer.py	502	CODE
LOW	monai/inferers/inferer.py	907	CODE
LOW	monai/inferers/inferer.py	1000	CODE
LOW	monai/inferers/inferer.py	1253	CODE
LOW	monai/inferers/inferer.py	1340	CODE
LOW	monai/inferers/inferer.py	1473	CODE
LOW	monai/inferers/inferer.py	1599	CODE
LOW	monai/inferers/inferer.py	1834	CODE
LOW	monai/inferers/inferer.py	1931	CODE
LOW	monai/inferers/merger.py	263	CODE
LOW	monai/networks/utils.py	661	CODE
LOW	monai/networks/utils.py	796	CODE
LOW	monai/networks/utils.py	940	CODE
LOW	monai/networks/utils.py	1326	CODE
LOW	monai/networks/utils.py	1348	CODE
LOW	monai/networks/trt_compiler.py	313	CODE
LOW	monai/networks/blocks/crossattention.py	32	CODE
LOW	monai/networks/blocks/cablock.py	138	CODE
LOW	monai/networks/blocks/downsample.py	88	CODE
LOW	monai/networks/blocks/crf.py	38	CODE
LOW	monai/networks/blocks/dints_block.py	136	CODE
LOW	monai/networks/blocks/convolutions.py	98	CODE
LOW	monai/networks/blocks/convolutions.py	248	CODE
LOW	monai/networks/blocks/upsample.py	43	CODE
LOW	monai/networks/blocks/feature_pyramid_network.py	265	CODE
LOW	monai/networks/blocks/transformerblock.py	33	CODE
LOW	monai/networks/blocks/hyena.py	285	CODE
LOW	monai/networks/blocks/hyena.py	468	CODE
LOW	monai/networks/blocks/dynunet_block.py	270	CODE
LOW	monai/networks/blocks/dynunet_block.py	111	CODE
LOW	monai/networks/blocks/dynunet_block.py	177	CODE
LOW	monai/networks/blocks/dynunet_block.py	244	CODE
209 more matches not shown…

Cross-File Repetition49 hits · 245 pts

Severity	File	Snippet	Context
HIGH	monai/metrics/regression.py	execute reduction logic for the output of `compute_iou`. args: reduction: define mode of reduction to the metrics, will	STRING
HIGH	monai/metrics/surface_distance.py	execute reduction logic for the output of `compute_iou`. args: reduction: define mode of reduction to the metrics, will	STRING
HIGH	monai/metrics/hausdorff_distance.py	execute reduction logic for the output of `compute_iou`. args: reduction: define mode of reduction to the metrics, will	STRING
HIGH	monai/metrics/meaniou.py	execute reduction logic for the output of `compute_iou`. args: reduction: define mode of reduction to the metrics, will	STRING
HIGH	monai/losses/dice.py	args: pred: the shape should be bnh[wd]. target: the shape should be bnh[wd]. raises: valueerror: when ``self.reduction`	STRING
HIGH	monai/losses/tversky.py	args: pred: the shape should be bnh[wd]. target: the shape should be bnh[wd]. raises: valueerror: when ``self.reduction`	STRING
HIGH	monai/losses/image_dissimilarity.py	args: pred: the shape should be bnh[wd]. target: the shape should be bnh[wd]. raises: valueerror: when ``self.reduction`	STRING
HIGH	monai/networks/blocks/mlp.py	a self-attention block, based on: "dosovitskiy et al., an image is worth 16x16 words: transformers for image recognition	STRING
HIGH	monai/networks/blocks/transformerblock.py	a self-attention block, based on: "dosovitskiy et al., an image is worth 16x16 words: transformers for image recognition	STRING
HIGH	monai/networks/blocks/selfattention.py	a self-attention block, based on: "dosovitskiy et al., an image is worth 16x16 words: transformers for image recognition	STRING
HIGH	monai/networks/nets/diffusion_model_unet.py	load a state dict from a decoderonlytransformer trained with [monai generative](https://github.com/project-monai/generat	STRING
HIGH	monai/networks/nets/controlnet.py	load a state dict from a decoderonlytransformer trained with [monai generative](https://github.com/project-monai/generat	STRING
HIGH	monai/networks/nets/transformer.py	load a state dict from a decoderonlytransformer trained with [monai generative](https://github.com/project-monai/generat	STRING
HIGH	monai/networks/nets/masked_autoencoder_vit.py	load a state dict from a vitautoenc model trained with an older version of monai where ``crossattentionblock`` was uncon	STRING
HIGH	monai/networks/nets/vit.py	load a state dict from a vitautoenc model trained with an older version of monai where ``crossattentionblock`` was uncon	STRING
HIGH	monai/networks/nets/vitautoenc.py	load a state dict from a vitautoenc model trained with an older version of monai where ``crossattentionblock`` was uncon	STRING
HIGH	monai/networks/schedulers/ddim.py	sets the discrete timesteps used for the diffusion chain. supporting function to be run before inference. args: num_infe	STRING
HIGH	monai/networks/schedulers/pndm.py	sets the discrete timesteps used for the diffusion chain. supporting function to be run before inference. args: num_infe	STRING
HIGH	monai/networks/schedulers/ddpm.py	sets the discrete timesteps used for the diffusion chain. supporting function to be run before inference. args: num_infe	STRING
HIGH	monai/apps/detection/utils/box_selector.py	part of this script is adapted from https://github.com/pytorch/vision/blob/main/torchvision/models/detection/retinanet.p	STRING
HIGH	monai/apps/detection/networks/retinanet_network.py	part of this script is adapted from https://github.com/pytorch/vision/blob/main/torchvision/models/detection/retinanet.p	STRING
HIGH	monai/apps/detection/networks/retinanet_detector.py	part of this script is adapted from https://github.com/pytorch/vision/blob/main/torchvision/models/detection/retinanet.p	STRING
HIGH	monai/handlers/earlystop_handler.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/metric_logger.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/classification_saver.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/smartcache_handler.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/lr_schedule_handler.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/tensorboard_handlers.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/trt_handler.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/checkpoint_saver.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/checkpoint_loader.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/metrics_saver.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/postprocessing.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/validation_handler.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/probability_maps.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/decollate_batch.py	args: engine: ignite engine, it can be a trainer, validator or evaluator.	STRING
HIGH	monai/handlers/tensorboard_handlers.py	register a set of ignite event-handlers to a specified ignite engine. args: engine: ignite engine, it can be a trainer,	STRING
HIGH	monai/handlers/mlflow_handler.py	register a set of ignite event-handlers to a specified ignite engine. args: engine: ignite engine, it can be a trainer,	STRING
HIGH	monai/handlers/stats_handler.py	register a set of ignite event-handlers to a specified ignite engine. args: engine: ignite engine, it can be a trainer,	STRING
HIGH	monai/handlers/tensorboard_handlers.py	handler for train or validation/evaluation epoch completed event. print epoch level log, default values are from ignite	STRING
HIGH	monai/handlers/mlflow_handler.py	handler for train or validation/evaluation epoch completed event. print epoch level log, default values are from ignite	STRING
HIGH	monai/handlers/stats_handler.py	handler for train or validation/evaluation epoch completed event. print epoch level log, default values are from ignite	STRING
HIGH	tests/metrics/test_hausdorff_distance.py	return a 3d image with a sphere inside. voxel values will be 1 inside the sphere, and 0 elsewhere. args: radius: radius	STRING
HIGH	tests/metrics/test_surface_distance.py	return a 3d image with a sphere inside. voxel values will be 1 inside the sphere, and 0 elsewhere. args: radius: radius	STRING
HIGH	tests/handlers/test_handler_hausdorff_distance.py	return a 3d image with a sphere inside. voxel values will be 1 inside the sphere, and 0 elsewhere. args: radius: radius	STRING
HIGH	tests/handlers/test_handler_surface_distance.py	return a 3d image with a sphere inside. voxel values will be 1 inside the sphere, and 0 elsewhere. args: radius: radius	STRING
HIGH	tests/losses/test_generalized_wasserstein_dice_loss.py	the goal of this test is to assess if the gradient of the loss function is correct by testing if we can train a one laye	STRING
HIGH	tests/integration/test_reg_loss_integration.py	the goal of this test is to assess if the gradient of the loss function is correct by testing if we can train a one laye	STRING
HIGH	tests/integration/test_seg_loss_integration.py	the goal of this test is to assess if the gradient of the loss function is correct by testing if we can train a one laye	STRING

Modern Structural Boilerplate238 hits · 238 pts

Severity	File	Line	Snippet	Context
LOW	monai/__init__.py	106	__all__ = [	CODE
LOW	monai/metrics/wrapper.py	28	__all__ = ["MetricsReloadedBinary", "MetricsReloadedCategorical"]	CODE
LOW	monai/metrics/meandice.py	27	__all__ = ["DiceMetric", "compute_dice", "DiceHelper"]	CODE
LOW	monai/metrics/absolute_volume_difference.py	21	__all__ = ["AbsoluteVolumeDifferenceMetric", "compute_absolute_volume_difference"]	CODE
LOW	monai/metrics/embedding_collapse.py	25	__all__ = ["EmbeddingCollapseMetric", "compute_embedding_collapse"]	CODE
LOW	monai/metrics/panoptic_quality.py	24	__all__ = ["PanopticQualityMetric", "compute_panoptic_quality", "compute_mean_iou"]	CODE
LOW	monai/metrics/metric.py	23	__all__ = ["Metric", "IterationMetric", "Cumulative", "CumulativeIterationMetric"]	CODE
LOW	monai/metrics/utils.py	47	__all__ = [	CODE
LOW	monai/metrics/hausdorff_distance.py	25	__all__ = ["HausdorffDistanceMetric", "compute_hausdorff_distance"]	CODE
LOW	monai/metrics/calibration.py	23	__all__ = ["CalibrationErrorMetric", "CalibrationReduction", "calibration_binning"]	CODE
LOW	monai/losses/spatial_mask.py	22	__all__ = ["MaskedLoss"]	CODE
LOW	monai/auto3dseg/analyzer.py	44	__all__ = [	CODE
LOW	monai/auto3dseg/analyzer.py	77	def update_ops(self, key: str, op: Operations) -> None:	CODE
LOW	monai/auto3dseg/analyzer.py	94	def update_ops_nested_label(self, nested_key: str, op: Operations) -> None:	CODE
LOW	monai/auto3dseg/seg_summarizer.py	31	__all__ = ["SegSummarizer"]	CODE
LOW	monai/auto3dseg/operations.py	20	__all__ = ["Operations", "SampleOperations", "SummaryOperations"]	CODE
LOW	monai/auto3dseg/utils.py	38	__all__ = [	CODE
LOW	monai/config/deviceconfig.py	41	__all__ = [	CODE
LOW	monai/config/type_definitions.py	36	__all__ = [	CODE
LOW	monai/bundle/config_parser.py	34	__all__ = ["ConfigParser"]	CODE
LOW	monai/bundle/config_item.py	27	__all__ = ["ComponentLocator", "ConfigItem", "ConfigExpression", "ConfigComponent", "Instantiable"]	CODE
LOW	monai/bundle/config_item.py	142	def update_config(self, config: Any) -> None:	CODE
LOW	monai/bundle/utils.py	25	__all__ = [	CODE
LOW	monai/bundle/workflows.py	32	__all__ = ["BundleWorkflow", "ConfigWorkflow"]	CODE
LOW	monai/bundle/workflows.py	562	def _set_property(self, name: str, property: dict, value: Any) -> None:	CODE
LOW	monai/bundle/reference_resolver.py	23	__all__ = ["ReferenceResolver"]	CODE
LOW	monai/utils/misc.py	42	__all__ = [	CODE
LOW	monai/utils/enums.py	20	__all__ = [	CODE
LOW	monai/utils/tf32.py	18	__all__ = ["has_ampere_or_later", "detect_default_tf32"]	CODE
LOW	monai/utils/type_conversion.py	28	__all__ = [	CODE
LOW	monai/utils/deprecate_utils.py	25	__all__ = ["deprecated", "deprecated_arg", "DeprecatedError", "deprecated_arg_default"]	CODE
LOW	monai/utils/state_cacher.py	27	__all__ = ["StateCacher"]	CODE
LOW	monai/utils/module.py	43	__all__ = [	CODE
LOW	monai/utils/nvtx.py	30	__all__ = ["Range"]	CODE
LOW	monai/utils/dist.py	27	__all__ = ["get_dist_device", "evenly_divisible_all_gather", "string_list_all_gather", "RankFilter"]	CODE
LOW	monai/utils/profiling.py	40	__all__ = [	CODE
LOW	monai/utils/decorators.py	16	__all__ = ["RestartGenerator", "MethodReplacer"]	CODE
LOW	monai/visualize/class_activation_maps.py	28	__all__ = ["CAM", "GradCAM", "GradCAMpp", "ModelWithHooks", "default_normalizer"]	CODE
LOW	monai/visualize/gradient_based.py	26	__all__ = ["VanillaGrad", "SmoothGrad", "GuidedBackpropGrad", "GuidedBackpropSmoothGrad"]	CODE
LOW	monai/visualize/img2tensorboard.py	39	__all__ = ["make_animated_gif_summary", "add_animated_gif", "plot_2d_or_3d_image"]	CODE
LOW	monai/visualize/utils.py	31	__all__ = ["matshow3d", "blend_images"]	CODE
LOW	monai/visualize/visualizer.py	21	__all__ = ["default_upsampler"]	CODE
LOW	monai/optimizers/lr_scheduler.py	19	__all__ = ["LinearLR", "ExponentialLR"]	CODE
LOW	monai/optimizers/lr_finder.py	43	__all__ = ["LearningRateFinder"]	CODE
LOW	monai/optimizers/lr_finder.py	378	def _set_learning_rate(self, new_lrs: float \| list) -> None:	CODE
LOW	monai/optimizers/utils.py	20	__all__ = ["generate_param_groups"]	CODE
LOW	monai/inferers/splitter.py	28	__all__ = ["Splitter", "SlidingWindowSplitter", "WSISlidingWindowSplitter"]	CODE
LOW	monai/inferers/splitter.py	356	def _set_reader(self, reader: str \| BaseWSIReader \| type[BaseWSIReader] \| None, reader_kwargs: dict) -> None:	CODE
LOW	monai/inferers/utils.py	39	__all__ = ["sliding_window_inference"]	CODE
LOW	monai/inferers/inferer.py	51	__all__ = [	CODE
LOW	monai/inferers/merger.py	38	__all__ = ["Merger", "AvgMerger", "ZarrAvgMerger"]	CODE
LOW	monai/networks/utils.py	43	__all__ = [	CODE
LOW	monai/networks/blocks/cablock.py	24	__all__ = ["FeedForward", "CABlock"]	CODE
LOW	monai/networks/blocks/downsample.py	23	__all__ = ["MaxAvgPool", "DownSample", "Downsample", "SubpixelDownsample", "SubpixelDownSample", "Subpixeldownsample"]	CODE
LOW	monai/networks/blocks/pos_embed_utils.py	20	__all__ = ["build_fourier_position_embedding", "build_sincos_position_embedding"]	CODE
LOW	monai/networks/blocks/crf.py	20	__all__ = ["CRF"]	CODE
LOW	monai/networks/blocks/dints_block.py	19	__all__ = ["FactorizedIncreaseBlock", "FactorizedReduceBlock", "P3DActiConvNormBlock", "ActiConvNormBlock"]	CODE
LOW	monai/networks/blocks/backbone_fpn_utils.py	64	__all__ = ["BackboneWithFPN"]	CODE
LOW	monai/networks/blocks/upsample.py	23	__all__ = ["Upsample", "UpSample", "SubpixelUpsample", "Subpixelupsample", "SubpixelUpSample"]	CODE
LOW	monai/networks/blocks/feature_pyramid_network.py	65	__all__ = ["ExtraFPNBlock", "LastLevelMaxPool", "LastLevelP6P7", "FeaturePyramidNetwork"]	CODE
178 more matches not shown…

Deep Nesting229 hits · 226 pts

Severity	File	Line	Context
LOW	setup.py	84	CODE
LOW	versioneer.py	1095	CODE
LOW	versioneer.py	1321	CODE
LOW	versioneer.py	1640	CODE
LOW	versioneer.py	2076	CODE
LOW	monai/_version.py	140	CODE
LOW	monai/_version.py	578	CODE
LOW	monai/metrics/utils.py	87	CODE
LOW	monai/metrics/utils.py	258	CODE
LOW	monai/metrics/confusion_matrix.py	179	CODE
LOW	monai/losses/adversarial_loss.py	50	CODE
LOW	monai/losses/ds_loss.py	43	CODE
LOW	monai/auto3dseg/analyzer.py	1007	CODE
LOW	monai/auto3dseg/utils.py	148	CODE
LOW	monai/auto3dseg/utils.py	232	CODE
LOW	monai/auto3dseg/utils.py	361	CODE
LOW	monai/fl/client/monai_algo.py	77	CODE
LOW	monai/fl/client/monai_algo.py	292	CODE
LOW	monai/bundle/config_item.py	73	CODE
LOW	monai/bundle/utils.py	171	CODE
LOW	monai/bundle/utils.py	246	CODE
LOW	monai/bundle/workflows.py	64	CODE
LOW	monai/bundle/workflows.py	313	CODE
LOW	monai/bundle/workflows.py	598	CODE
LOW	monai/bundle/workflows.py	629	CODE
LOW	monai/bundle/scripts.py	141	CODE
LOW	monai/bundle/scripts.py	407	CODE
LOW	monai/bundle/scripts.py	446	CODE
LOW	monai/bundle/scripts.py	771	CODE
LOW	monai/bundle/reference_resolver.py	107	CODE
LOW	monai/bundle/reference_resolver.py	282	CODE
LOW	monai/utils/misc.py	393	CODE
LOW	monai/utils/misc.py	494	CODE
LOW	monai/utils/jupyter_utils.py	158	CODE
LOW	monai/utils/jupyter_utils.py	305	CODE
LOW	monai/utils/type_conversion.py	113	CODE
LOW	monai/utils/type_conversion.py	196	CODE
LOW	monai/utils/type_conversion.py	241	CODE
LOW	monai/utils/type_conversion.py	286	CODE
LOW	monai/utils/type_conversion.py	439	CODE
LOW	monai/utils/type_conversion.py	450	CODE
LOW	monai/utils/ordering.py	112	CODE
LOW	monai/utils/ordering.py	158	CODE
LOW	monai/utils/ordering.py	174	CODE
LOW	monai/utils/ordering.py	193	CODE
LOW	monai/utils/module.py	174	CODE
LOW	monai/utils/nvtx.py	144	CODE
LOW	monai/utils/profiling.py	240	CODE
LOW	monai/visualize/img2tensorboard.py	146	CODE
LOW	monai/optimizers/novograd.py	73	CODE
LOW	monai/inferers/utils.py	42	CODE
LOW	monai/inferers/inferer.py	309	CODE
LOW	monai/inferers/inferer.py	618	CODE
LOW	monai/inferers/inferer.py	1000	CODE
LOW	monai/inferers/inferer.py	1599	CODE
LOW	monai/inferers/merger.py	263	CODE
LOW	monai/networks/utils.py	1093	CODE
LOW	monai/networks/utils.py	1192	CODE
LOW	monai/networks/trt_compiler.py	63	CODE
LOW	monai/networks/trt_compiler.py	241	CODE
169 more matches not shown…

Over-Commented Block177 hits · 177 pts

Severity	File	Line	Snippet	Context
LOW	runtests.sh	1	#! /bin/bash	COMMENT
LOW	.readthedocs.yml	1	# .readthedocs.yml	COMMENT
LOW	CONTRIBUTING.md	81	# Copyright (c) MONAI Consortium	COMMENT
LOW	versioneer.py	1821	# distutils/build -> build_py	COMMENT
LOW	monai/losses/hausdorff_loss.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/csrc/resample/bounds_common.h	21	// It also defines an enumerated types that encodes each boundary type.	COMMENT
LOW	monai/csrc/resample/interpolation_common.h	21	// The entry points are:	COMMENT
LOW	monai/csrc/resample/pushpull_cpu.cpp	21	// Isotropic 0-th and 1-st order interpolation have their own (faster)	COMMENT
LOW	monai/csrc/resample/pushpull_cpu.cpp	41	#include <limits>	COMMENT
LOW	monai/csrc/resample/pushpull_cpu.cpp	81		COMMENT
LOW	monai/csrc/resample/pushpull_cpu.cpp	561	// printf("do_grad: %d\n", do_grad);	COMMENT
LOW	monai/csrc/resample/pushpull_cpu.cpp	721	// This bit loops over all target voxels. We therefore need to	COMMENT
LOW	monai/csrc/utils/meta_macros.h	21	#define _DO_5(TARGET) TARGET(5) _DO_4(TARGET)	COMMENT
LOW	monai/csrc/utils/meta_macros.h	41	#define _DO_25(TARGET) TARGET(25) _DO_24(TARGET)	COMMENT
LOW	monai/csrc/utils/meta_macros.h	61	#define _DO_A_12(TARGET, A) TARGET(A, 12) _DO_A_11(TARGET, A)	COMMENT
LOW	monai/csrc/utils/meta_macros.h	81	#define _DO_A_32(TARGET, A) TARGET(A, 32) _DO_A_31(TARGET, A)	COMMENT
LOW	monai/csrc/utils/meta_macros.h	101	#define _DO_19_B(TARGET, B_RANGE) _DO_A_##B_RANGE(TARGET, 19) _DO_18_B(TARGET, B_RANGE)	COMMENT
LOW	monai/csrc/utils/resample_utils.h	21	// Note that if AT_PARALLEL_OPENMP = 1 but compilation does not use	COMMENT
LOW	monai/csrc/utils/resample_utils.h	41	#define MONAI_HOST __host__	COMMENT
LOW	monai/config/type_definitions.py	21	# Commonly used concepts	COMMENT
LOW	monai/config/type_definitions.py	41	"NdarrayOrTensor",	COMMENT
LOW	monai/fl/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/fl/utils/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/fl/client/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/optimizers/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/blocks/mednext_block.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/blocks/backbone_fpn_utils.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/blocks/backbone_fpn_utils.py	21		COMMENT
LOW	monai/networks/blocks/feature_pyramid_network.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/blocks/feature_pyramid_network.py	21		COMMENT
LOW	monai/networks/nets/diffusion_model_unet.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/nets/hovernet.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/nets/mednext.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/nets/controlnet.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/nets/dynunet.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/nets/spade_diffusion_model_unet.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/schedulers/ddim.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/schedulers/ddim.py	161	pred_original_sample: Predicted original sample	COMMENT
LOW	monai/networks/schedulers/pndm.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/schedulers/pndm.py	281	# this function computes x_(t−δ) using the formula of (9)	COMMENT
LOW	monai/networks/schedulers/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/schedulers/rectified_flow.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/schedulers/scheduler.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/networks/schedulers/ddpm.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/_extensions/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/post/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/smooth_field/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/regularization/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/intensity/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/io/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/croppad/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/lazy/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/spatial/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/meta_utility/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/signal/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/transforms/utility/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/data/image_reader.py	801	# without limitation the rights to use, copy, modify, merge, publish,	COMMENT
LOW	monai/apps/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/apps/deepgrow/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
LOW	monai/apps/vista3d/__init__.py	1	# Copyright (c) MONAI Consortium	COMMENT
117 more matches not shown…

Self-Referential Comments42 hits · 147 pts

Severity	File	Line	Snippet	Context
MEDIUM	versioneer.py	441	# This file is released into the public domain. Generated by	COMMENT
MEDIUM	monai/_version.py	8	# This file is released into the public domain. Generated by	COMMENT
MEDIUM	monai/config/type_definitions.py	22	# This module provides naming and type specifications for commonly used concepts	COMMENT
MEDIUM	monai/utils/nvtx.py	79	# Define the name to be associated to the range if not provided	COMMENT
MEDIUM	monai/utils/nvtx.py	92	# Define the methods to be wrapped if not provided	COMMENT
MEDIUM	monai/optimizers/lr_finder.py	331	# Create an iterator to get data batch by batch	COMMENT
MEDIUM	monai/optimizers/lr_finder.py	517	# Create the figure and axes object if axes was not already given	COMMENT
MEDIUM	monai/networks/nets/mednext.py	268	# Define the MedNeXt variants as reported in 10.48550/arXiv.2303.09975	COMMENT
MEDIUM	monai/transforms/utils_morphological_ops.py	110	# Define the structuring element	COMMENT
MEDIUM	monai/data/wsi_datasets.py	89	# Create a default level that override all levels if it is not None	COMMENT
MEDIUM⚡	monai/data/wsi_reader.py	423	# Create a list of patches and metadata	COMMENT
MEDIUM	monai/apps/reconstruction/transforms/array.py	163	# Create the mask	COMMENT
MEDIUM	monai/apps/reconstruction/transforms/array.py	252	# Create the mask	COMMENT
MEDIUM	tests/metrics/test_calibration_metric.py	329	# Create a 2-channel tensor where one channel has valid data and one is out of range	COMMENT
MEDIUM	tests/losses/test_generalized_wasserstein_dice_loss.py	231	# Create a batch of size 2 by repeating the same sample	COMMENT
MEDIUM	tests/losses/test_focal_loss.py	104	# Create a random tensor of shape (batch_size, class_num, 8, 4)	COMMENT
MEDIUM	tests/losses/test_focal_loss.py	106	# Create a random batch of classes	COMMENT
MEDIUM	tests/losses/test_focal_loss.py	128	# Create a random tensor of shape (batch_size, class_num, 8, 4)	COMMENT
MEDIUM	tests/losses/test_focal_loss.py	130	# Create a random batch of classes	COMMENT
MEDIUM	tests/losses/test_focal_loss.py	152	# Create a random tensor of shape (batch_size, class_num, 8, 4)	COMMENT
MEDIUM	tests/losses/test_focal_loss.py	154	# Create a random batch of classes	COMMENT
MEDIUM⚡	tests/losses/test_focal_loss.py	175	# Create a random scores tensor of shape (batch_size, class_num)	COMMENT
MEDIUM⚡	tests/losses/test_focal_loss.py	177	# Create a random batch of classes	COMMENT
MEDIUM	tests/losses/test_focal_loss.py	199	# Create a random scores tensor of shape (batch_size, class_num)	COMMENT
MEDIUM	tests/losses/test_focal_loss.py	201	# Create a random batch of classes	COMMENT
MEDIUM	tests/networks/layers/test_affine_transform.py	391	# Create a simple test image	COMMENT
MEDIUM⚡	tests/transforms/test_nvtx_decorator.py	220	# Create a network	COMMENT
MEDIUM	tests/transforms/test_nvtx_decorator.py	247	# Create a network and loss	COMMENT
MEDIUM	tests/transforms/inverse/test_invertd.py	310	# Create a preprocessing pipeline	COMMENT
MEDIUM	tests/apps/test_download_and_extract.py	77	# Create a valid zip file	COMMENT
MEDIUM	tests/apps/test_download_and_extract.py	127	# Create a valid tar file	COMMENT
MEDIUM⚡	tests/apps/test_download_and_extract.py	168	# Create a temporary file	COMMENT
MEDIUM	tests/apps/deepedit/test_deepedit_transforms.py	288	# Create a label array with different label values	COMMENT
MEDIUM⚡	tests/handlers/test_handler_nvtx.py	50	# Define a range using one prefix (between BATCH_STARTED and BATCH_COMPLETED)	COMMENT
MEDIUM⚡	tests/handlers/test_handler_nvtx.py	52	# Define a range using a pair of events	COMMENT
MEDIUM⚡	tests/handlers/test_handler_nvtx.py	54	# Define a range using a pair of literals	COMMENT
MEDIUM⚡	tests/handlers/test_handler_nvtx.py	56	# Define a range using a pair of literal and events	COMMENT
MEDIUM⚡	tests/handlers/test_handler_nvtx.py	58	# Define the start of range using literal	COMMENT
MEDIUM⚡	tests/handlers/test_handler_nvtx.py	60	# Define the start of range using event	COMMENT
MEDIUM⚡	tests/handlers/test_handler_nvtx.py	62	# Define the start of range using literals and providing message	COMMENT
MEDIUM⚡	tests/handlers/test_handler_nvtx.py	64	# Define the end of range using Ignite Event	COMMENT
MEDIUM⚡	tests/handlers/test_handler_nvtx.py	67	# Define the end of range using literal	COMMENT

Hallucination Indicators9 hits · 90 pts

Severity	File	Line	Snippet	Context
CRITICAL	monai/networks/nets/swin_unetr.py	353	self.swinViT.patch_embed.proj.weight.copy_(wstate["module.patch_embed.proj.weight"])	CODE
CRITICAL	monai/networks/nets/swin_unetr.py	354	self.swinViT.patch_embed.proj.bias.copy_(wstate["module.patch_embed.proj.bias"])	CODE
CRITICAL	monai/apps/detection/networks/retinanet_detector.py	111	Input argument ``network`` can be a monai.apps.detection.networks.retinanet_network.RetinaNet(*) object,	STRING
CRITICAL	monai/apps/detection/networks/retinanet_detector.py	168	anchor_generator = monai.apps.detection.utils.anchor_utils.AnchorGeneratorWithAnchorShape(	STRING
CRITICAL	monai/apps/detection/networks/retinanet_detector.py	1053	anchor_generator = monai.apps.detection.utils.anchor_utils.AnchorGeneratorWithAnchorShape(	STRING
CRITICAL	tests/integration/test_integration_nnunetv2_runner.py	33	monai.apps.nnunet.nnunetv2_runner.logger.setLevel(logging.ERROR) # suppress warning logging to clean up test output	CODE
CRITICAL⚡	tests/networks/blocks/test_CABlock.py	121	block.qkv.conv.weight.data.fill_(1.0)	CODE
CRITICAL⚡	tests/networks/blocks/test_CABlock.py	122	block.qkv_dwconv.conv.weight.data.fill_(1.0)	CODE
CRITICAL⚡	tests/networks/blocks/test_CABlock.py	124	block.project_out.conv.weight.data.fill_(1.0)	CODE

Excessive Try-Catch Wrapping58 hits · 64 pts

Severity	File	Line	Snippet	Context
LOW	monai/__init__.py	134	except Exception:	CODE
LOW	monai/metrics/embedding_collapse.py	390	except Exception as exc:	CODE
LOW	monai/config/deviceconfig.py	123	except Exception:	CODE
MEDIUM	monai/config/deviceconfig.py	120	def _dict_append(in_dict, key, fn):	CODE
LOW	monai/fl/client/monai_algo.py	51	except Exception as e:	CODE
LOW	monai/bundle/config_item.py	375	except Exception as e:	CODE
LOW	monai/utils/misc.py	152	except Exception:	CODE
LOW	monai/utils/misc.py	517	except Exception:	CODE
LOW	monai/utils/tf32.py	44	except Exception:	CODE
LOW	monai/utils/tf32.py	74	except Exception:	CODE
LOW	monai/utils/module.py	254	except Exception as e:	CODE
LOW	monai/utils/module.py	389	except Exception as import_exception: # any exceptions during import	CODE
LOW	monai/inferers/utils.py	229	except Exception as e:	CODE
LOW	monai/inferers/inferer.py	548	except Exception as e:	CODE
LOW	monai/networks/trt_compiler.py	101	except Exception as e:	CODE
LOW	monai/networks/trt_compiler.py	199	except Exception:	CODE
LOW	monai/networks/trt_compiler.py	425	except Exception as e:	CODE
LOW	monai/networks/trt_compiler.py	457	except Exception as e:	CODE
LOW	monai/networks/trt_compiler.py	491	except Exception as e:	CODE
LOW	monai/networks/nets/resnet.py	656	except Exception:	CODE
LOW	monai/transforms/transform.py	154	except Exception as e:	CODE
LOW	monai/transforms/io/array.py	268	except Exception as e:	CODE
LOW	monai/transforms/io/array.py	507	except Exception as e:	CODE
LOW	monai/data/image_writer.py	116	except Exception: # other writer init errors indicating it exists	CODE
LOW	monai/data/dataset.py	84	except Exception as e:	CODE
LOW	monai/data/dataset.py	704	except Exception as err:	CODE
LOW	monai/apps/utils.py	180	except Exception as e:	CODE
LOW	monai/apps/utils.py	377	except Exception as e:	CODE
LOW	monai/apps/auto3dseg/ensemble_builder.py	219	except Exception:	CODE
LOW	monai/apps/auto3dseg/bundle_gen.py	432	except Exception as e:	CODE
LOW	monai/apps/auto3dseg/utils.py	62	except Exception:	CODE
LOW	monai/apps/auto3dseg/data_analyzer.py	344	except Exception as err:	CODE
LOW	monai/apps/auto3dseg/data_analyzer.py	360	except Exception as err:	CODE
LOW	monai/apps/vista3d/transforms.py	114	except Exception:	CODE
LOW	monai/apps/detection/metrics/coco.py	544	except Exception:	CODE
LOW	monai/apps/nnunet/nnunetv2_runner.py	213	except Exception:	CODE
LOW	monai/apps/nnunet/nnunetv2_runner.py	291	except Exception as err:	CODE
LOW	tests/clang_format_utils.py	66	except Exception as e:	CODE
LOW	tests/test_utils.py	246	except Exception:	CODE
LOW	tests/test_utils.py	382	except Exception:	CODE
LOW	tests/test_utils.py	568	except Exception as e:	CODE
LOW	tests/test_utils.py	652	except Exception as e:	CODE
MEDIUM	tests/test_utils.py	648	def run_process(func, args, kwargs, results):	CODE
LOW	tests/runner.py	192	except Exception:	CODE
LOW	tests/integration/test_integration_workflows.py	341	except Exception as e:	CODE
LOW	tests/integration/test_integration_workflows.py	346	except Exception:	CODE
LOW	tests/networks/nets/test_resnet.py	252	except Exception:	CODE
LOW	tests/networks/nets/test_dynunet.py	153	except Exception:	CODE
MEDIUM	tests/networks/nets/test_dynunet.py	147	def setUp(self):	CODE
LOW	tests/transforms/test_rand_simulate_low_resolution.py	115	except Exception as e:	CODE
LOW	tests/apps/test_download_and_extract.py	101	except Exception as e:	CODE
LOW⚡	tests/apps/test_download_and_extract.py	155	except Exception as e:	CODE
LOW	tests/apps/detection/networks/test_retinanet.py	143	except Exception:	CODE
LOW	tests/apps/detection/networks/test_retinanet.py	177	except Exception:	CODE
MEDIUM	tests/apps/detection/networks/test_retinanet.py	140	def test_script(self, model, input_param, input_shape):	CODE
MEDIUM	tests/apps/detection/networks/test_retinanet.py	174	def test_onnx(self, model, input_param, input_shape):	CODE
LOW	tests/handlers/test_handler_clearml_stats.py	56	except Exception as exc:	CODE
LOW	tests/handlers/test_handler_clearml_image.py	56	except Exception as exc:	CODE

Redundant / Tautological Comments23 hits · 38 pts

Severity	File	Line	Snippet	Context
LOW	monai/auto3dseg/utils.py	445	# Check if this is a legacy pickle file	COMMENT
LOW	monai/bundle/scripts.py	354	# Check if the data is a dictionary and it has the key 'modelVersions'	COMMENT
LOW	monai/utils/nvtx.py	98	# Check if to append method's name to the range's name	COMMENT
LOW	monai/optimizers/lr_finder.py	225	# Check if the optimizer is already attached to a scheduler	COMMENT
LOW	monai/optimizers/lr_finder.py	308	# Check if the optimizer is already attached to a scheduler	COMMENT
LOW	monai/optimizers/lr_finder.py	366	# Check if the loss has diverged; if it has, stop the test	COMMENT
LOW	monai/optimizers/lr_finder.py	432	# Set model to evaluation mode and disable gradient computation	COMMENT
LOW	monai/inferers/splitter.py	413	# Check if the input is a sting or path like	COMMENT
LOW	monai/inferers/inferer.py	790	# Check if ``roi_size`` tuple is 2D and ``inputs`` tensor is 3D	COMMENT
LOW	monai/transforms/utils.py	1795	# Set all to True	COMMENT
LOW⚡	monai/data/wsi_reader.py	409	# Check if there are four color channels for RGBA	COMMENT
LOW⚡	monai/data/wsi_reader.py	416	# Check if there are three color channels for RGB	COMMENT
LOW	monai/data/wsi_reader.py	487	# Check if user-provided mpp_x and mpp_y fall within the tolerance intervals for closest level	COMMENT
LOW	monai/data/wsi_reader.py	981	# Check if the color channel is 3 (RGB) or 4 (RGBA)	COMMENT
LOW	monai/data/wsi_reader.py	1531	# Check if the color channel is 3 (RGB) or 4 (RGBA)	COMMENT
LOW	monai/apps/detection/transforms/dictionary.py	618	# Check if random transform was actually performed (based on `prob`)	COMMENT
LOW	monai/apps/detection/transforms/dictionary.py	763	# Check if random transform was actually performed (based on `prob`)	COMMENT
LOW	monai/apps/detection/transforms/dictionary.py	1378	# Check if random transform was actually performed (based on `prob`)	COMMENT
LOW	…/apps/generation/maisi/networks/autoencoderkl_maisi.py	558	# Check if attention_levels and num_channels have the same size	COMMENT
LOW	…/apps/generation/maisi/networks/autoencoderkl_maisi.py	562	# Check if num_res_blocks and num_channels have the same size	COMMENT
LOW	tests/transforms/test_nvtx_transform.py	63	# Check if chain of randomizable/non-randomizable transforms is not broken	COMMENT
LOW⚡	tests/transforms/test_nvtx_decorator.py	203	# Check if the outputs are equal	COMMENT
LOW⚡	tests/transforms/test_nvtx_decorator.py	212	# Check if the first randomized is RandAdjustContrast	COMMENT

AI Slop Vocabulary5 hits · 12 pts

Severity	File	Line	Snippet	Context
LOW	versioneer.py	459	# each be defined on a line of their own. _version.py will just call	COMMENT
LOW	monai/_version.py	26	# each be defined on a line of their own. _version.py will just call	COMMENT
MEDIUM	monai/data/dataset.py	409	# to make the cache more robust to manual killing of parent process	COMMENT
MEDIUM	monai/data/dataset.py	1690	# to make the cache more robust to manual killing of parent process	COMMENT
MEDIUM	tests/handlers/test_handler_stats.py	262	# leverage `engine.logger` to print info	COMMENT

Fake / Example Data6 hits · 6 pts

Severity	File	Line	Snippet	Context
LOW	tests/integration/test_auto3dseg_ensemble.py	132	"name": "fake_data",	CODE
LOW	tests/integration/test_auto3dseg_hpo.py	112	"name": "fake_data",	CODE
LOW	tests/integration/test_integration_gpu_customization.py	105	"name": "fake_data",	CODE
LOW	tests/bundle/test_config_parser.py	179	parser.set("fake_key", "transform#other_transforms#keys", True)	CODE
LOW	tests/bundle/test_config_parser.py	180	self.assertEqual(parser.get(id="transform#other_transforms#keys"), "fake_key")	CODE
LOW	tests/apps/test_auto3dseg_bundlegen.py	112	"name": "fake_data",	CODE

Verbosity Indicators2 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW⚡	tests/transforms/test_spatial_cropd.py	189	# Step 1: convert world -> image coordinates	COMMENT
LOW⚡	tests/transforms/test_spatial_cropd.py	195	# Step 2: crop using string keys	COMMENT

Structural Annotation Overuse2 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW⚡	tests/transforms/test_spatial_cropd.py	189	# Step 1: convert world -> image coordinates	COMMENT
LOW⚡	tests/transforms/test_spatial_cropd.py	195	# Step 2: crop using string keys	COMMENT

Cross-Language Confusion1 hit · 2 pts

Severity	File	Line	Snippet	Context
HIGH	monai/apps/utils.py	205	If undefined, `os.path.basename(url)` will be used.	STRING

Slop Phrases2 hits · 2 pts

Severity	File	Line	Snippet	Context
MEDIUM	monai/transforms/post/array.py	414	# If the affine of the data is not identity, you can also add Spacing before.	STRING
MEDIUM	monai/apps/pathology/handlers/utils.py	31	Here is a simple example::	STRING

Overly Generic Function Names2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	tests/bundle/test_config_parser.py	198	def test_function(self, config):	CODE
LOW	tests/utils/test_require_pkg.py	29	def test_function(self):	CODE

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings