1.6

Adjusted Signal

1.6

Raw Pattern Score

100%

Time Factor

2026-10-31

Last Push

6.4K

Stars

Java

Language

754.7K

Lines of Code

2.4K

Files

356

Pattern Hits

2026-10-31

Scan Date

0.01

HC Hit Rate

Risk Review · Payload v1

Use each vector to guide manual verification of the underlying findings.

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 0.8/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 75 finding(s).

Hallucinated Dependency & Supply Chain Risk 1.9/100 · LOW

Are imports declared and package/API names verified? 32 finding(s).

Agent Over-Engineering Ratio 5.4/100 · LOW

Are wrappers, guards, and repeated structures necessary? 250 finding(s).

PR Review Velocity Impact 7.2/100 · LOW

Which changes need focused human review? 356 finding(s).

What These Metrics Mean

Adjusted Signal: Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score: Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor: A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits: Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate: High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files: Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 25HIGH 6MEDIUM 254LOW 71

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 356 distinct pattern matches across 17 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.

Decorative Section Separators244 hits · 814 pts

Severity	File	Line	Snippet	Context
MEDIUM⚡	core/ASSOCIATION_RULE_MINING.md	421	// ── FP-Tree construction ──────────────────────────────────────────────────────	COMMENT
MEDIUM⚡	core/ASSOCIATION_RULE_MINING.md	431	// ── Frequent item sets ────────────────────────────────────────────────────────	COMMENT
MEDIUM⚡	core/ASSOCIATION_RULE_MINING.md	439	// ── Association rules ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	core/ANOMALY_DETECTION.md	522	// ── IsolationForest ──────────────────────────────────────────────────────────	COMMENT
MEDIUM	core/ANOMALY_DETECTION.md	546	// ── SVM (One-Class) ──────────────────────────────────────────────────────────	COMMENT
MEDIUM	core/ANOMALY_DETECTION.md	565	// ── LOF (Local Outlier Factor) ───────────────────────────────────────────────	COMMENT
MEDIUM	…rc/test/java/smile/classification/ClassLabelsTest.java	28	// ── fit(int[]) ─────────────────────────────────────────────────────────────	COMMENT
MEDIUM	…rc/test/java/smile/classification/ClassLabelsTest.java	78	// ── priori ────────────────────────────────────────────────────────────────	COMMENT
MEDIUM	…rc/test/java/smile/classification/ClassLabelsTest.java	101	// ── ni (per-class count) ───────────────────────────────────────────────────	COMMENT
MEDIUM	…rc/test/java/smile/classification/ClassLabelsTest.java	113	// ── indexOf ───────────────────────────────────────────────────────────────	COMMENT
MEDIUM	…rc/test/java/smile/classification/ClassLabelsTest.java	127	// ── scale ─────────────────────────────────────────────────────────────────	COMMENT
MEDIUM	…/java/smile/classification/DiscreteNaiveBayesTest.java	381	// ── predict(int[]) correctness — bug fix: must return original label ────────	COMMENT
MEDIUM	…/java/smile/classification/DiscreteNaiveBayesTest.java	417	// ── isSoft / isOnline ─────────────────────────────────────────────────────	COMMENT
MEDIUM	…/java/smile/classification/DiscreteNaiveBayesTest.java	438	// ── all model variants accept non-contiguous labels ───────────────────────	COMMENT
MEDIUM	…/java/smile/classification/DiscreteNaiveBayesTest.java	456	// ── TWCNB batch with non-contiguous labels ────────────────────────────────	COMMENT
MEDIUM	…/java/smile/classification/DiscreteNaiveBayesTest.java	485	// ── constructor validation ─────────────────────────────────────────────────	COMMENT
MEDIUM	…/java/smile/classification/DiscreteNaiveBayesTest.java	518	// ── empty instance ────────────────────────────────────────────────────────	COMMENT
MEDIUM	…/test/java/smile/classification/OneVersusRestTest.java	39	// ── isSoft consistency (bug fix: was always true) ──────────────────────────	COMMENT
MEDIUM	…/test/java/smile/classification/OneVersusRestTest.java	79	// ── basic fit and predict ─────────────────────────────────────────────────	COMMENT
MEDIUM	…c/test/java/smile/classification/OneVersusOneTest.java	38	// ── isSoft consistency (bug fix: was always true) ──────────────────────────	COMMENT
MEDIUM	…c/test/java/smile/classification/OneVersusOneTest.java	71	// ── hard predict (voting) works regardless of Platt ──────────────────────	COMMENT
MEDIUM	…c/test/java/smile/classification/OneVersusOneTest.java	88	// ── soft predict ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	…c/test/java/smile/classification/OneVersusOneTest.java	118	// ── basic fit validation ──────────────────────────────────────────────────	COMMENT
MEDIUM	…c/test/java/smile/classification/PlattScalingTest.java	27	// ── scale (constructor) ────────────────────────────────────────────────────	COMMENT
MEDIUM	…c/test/java/smile/classification/PlattScalingTest.java	62	// ── fit(scores, y) ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	…va/smile/classification/resampling/SMOTETomekTest.java	58	// ─── Options tests ────────────────────────────────────────────────────────	COMMENT
MEDIUM	…va/smile/classification/resampling/SMOTETomekTest.java	121	// ─── fit() tests ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	…java/smile/classification/resampling/SVMSMOTETest.java	57	// ─── Options tests ────────────────────────────────────────────────────────	COMMENT
MEDIUM	…java/smile/classification/resampling/SVMSMOTETest.java	130	// ─── fit() tests ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	…va/smile/classification/resampling/TomekLinksTest.java	34	// ─── Options tests ────────────────────────────────────────────────────────	COMMENT
MEDIUM	…va/smile/classification/resampling/TomekLinksTest.java	86	// ─── fit() tests ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	…test/java/smile/classification/resampling/BSOTest.java	59	// ─── Options tests ────────────────────────────────────────────────────────	COMMENT
MEDIUM	…test/java/smile/classification/resampling/BSOTest.java	175	// ─── fit() tests ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	…t/java/smile/classification/resampling/ADASYNTest.java	54	// ─── Options tests ────────────────────────────────────────────────────────	COMMENT
MEDIUM	…t/java/smile/classification/resampling/ADASYNTest.java	125	// ─── fit() tests ─────────────────────────────────────────────────────────	COMMENT
MEDIUM	…/java/smile/clustering/HierarchicalClusteringTest.java	182	// ── partition(int k) ──────────────────────────────────────────────────────	COMMENT
MEDIUM	…/java/smile/clustering/HierarchicalClusteringTest.java	210	// ── partition(double h) ───────────────────────────────────────────────────	COMMENT
MEDIUM	…/java/smile/clustering/HierarchicalClusteringTest.java	243	// ── Linkage consistency ───────────────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/clustering/DBSCANTest.java	85	// ── Parameter validation ───────────────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/clustering/DBSCANTest.java	111	// ── predict ───────────────────────────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/clustering/DBSCANTest.java	148	// ── Edge cases ────────────────────────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/clustering/DENCLUETest.java	85	// ── Options round-trip ────────────────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/clustering/DENCLUETest.java	125	// ── Options validation ─────────────────────────────────────────────────────	COMMENT
MEDIUM	…src/test/java/smile/clustering/ClusteringUnitTest.java	33	// ── Clustering.run ────────────────────────────────────────────────────────	COMMENT
MEDIUM	…src/test/java/smile/clustering/ClusteringUnitTest.java	68	// ── Clustering.Options validation ─────────────────────────────────────────	COMMENT
MEDIUM	…src/test/java/smile/clustering/ClusteringUnitTest.java	94	// ── Clustering.Options round-trip ─────────────────────────────────────────	COMMENT
MEDIUM	…/java/smile/clustering/DeterministicAnnealingTest.java	102	// ── fit produces finite, valid result ─────────────────────────────────────	COMMENT
MEDIUM	…/java/smile/clustering/DeterministicAnnealingTest.java	136	// ── Options validation ─────────────────────────────────────────────────────	COMMENT
MEDIUM	…/java/smile/clustering/DeterministicAnnealingTest.java	174	// ── Options round-trip ────────────────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/regression/GLMTest.java	142	// ── GLM.Options round-trip ─────────────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/regression/GLMTest.java	176	// ── Binomial logLikelihood fix ─────────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/regression/GLMTest.java	263	// ── GLM Bernoulli fit — deviance and logLikelihood are consistent ──────────	COMMENT
MEDIUM	core/src/test/java/smile/regression/GLMTest.java	298	// ── GLM Binomial fit — logLikelihood is finite and non-positive ───────────	COMMENT
MEDIUM	…t/java/smile/regression/BinarySparseLinearSVMTest.java	62	// ── predict returns continuous value (bug fix) ─────────────────────────────	COMMENT
MEDIUM	…t/java/smile/regression/BinarySparseLinearSVMTest.java	92	// ── weights and intercept accessors ───────────────────────────────────────	COMMENT
MEDIUM	…t/java/smile/regression/BinarySparseLinearSVMTest.java	115	// ── SVM.fit factory consistency ───────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/regression/SVMTest.java	123	// ── constructor validation ─────────────────────────────────────────────────	COMMENT
MEDIUM	core/src/test/java/smile/regression/SVMTest.java	176	// ── Properties round-trip ─────────────────────────────────────────────────	COMMENT
MEDIUM	…src/main/java/smile/classification/resampling/BSO.java	307	// ── Step 2: classify each minority sample ───────────────────────────	COMMENT
MEDIUM	…src/main/java/smile/classification/resampling/BSO.java	359	// ── Step 3: build indexes needed for synthesis ───────────────────────	COMMENT
184 more matches not shown…

Hallucination Indicators25 hits · 270 pts

Severity	File	Line	Snippet	Context
CRITICAL	…dio/src/main/java/smile/studio/kernel/ScalaKernel.java	99	new dotty.tools.dotc.core.Contexts.ContextBase().initialCtx();	CODE
CRITICAL	…mile/llm/model/qwen/QwenVerifyGraphRaggedCudaTest.java	122	int capturesBefore = smile.llm.engine.VerifyCudaGraphSession.CAPTURES.get();	CODE
CRITICAL	…mile/llm/model/qwen/QwenVerifyGraphRaggedCudaTest.java	200	assertEquals(3, smile.llm.engine.VerifyCudaGraphSession.CAPTURES.get() - capturesBefore,	CODE
CRITICAL	…llm/model/qwen/QwenVerifyGraphMultiBucketCudaTest.java	118	int capturesBefore = smile.llm.engine.VerifyCudaGraphSession.CAPTURES.get();	CODE
CRITICAL	…llm/model/qwen/QwenVerifyGraphMultiBucketCudaTest.java	194	assertEquals(1, smile.llm.engine.VerifyCudaGraphSession.CAPTURES.get() - capturesBefore,	CODE
CRITICAL	deep/src/test/java/smile/deep/layer/LayerTest.java	89	org.junit.jupiter.api.Assumptions.assumeTrue(	CODE
CRITICAL	…p/src/test/java/smile/deep/tensor/SafeTensorsTest.java	390	@org.junit.jupiter.api.condition.EnabledIfSystemProperty(	CODE
CRITICAL⚡	deep/src/main/java/smile/llm/model/qwen/QwenModel.java	1749	smile.llm.engine.VerifyCudaGraphSession.RESETS.get(),	CODE
CRITICAL⚡	deep/src/main/java/smile/llm/model/qwen/QwenModel.java	1750	smile.llm.engine.VerifyCudaGraphSession.WARMUPS.get(),	CODE
CRITICAL⚡	deep/src/main/java/smile/llm/model/qwen/QwenModel.java	1751	smile.llm.engine.VerifyCudaGraphSession.CAPTURES.get(),	CODE
CRITICAL⚡	deep/src/main/java/smile/llm/model/qwen/QwenModel.java	1752	smile.llm.engine.VerifyCudaGraphSession.CLOSES.get());	CODE
CRITICAL	deep/src/main/java/smile/llm/model/qwen/Tokenizer.java	332	tokenizer.setChatTemplate(smile.llm.template.Qwen3ChatTemplate.Variant.detect(jinja));	CODE
CRITICAL	scala/src/main/scala-2.13/smile/plot/RenderMacro.scala	35	compile(q"""(spec: VegaLite) => { println(org.apache.zeppelin.spark.utils.DisplayUtils.html(spec.iframe())) }""")	CODE
CRITICAL	scala/src/main/scala-2.13/smile/plot/RenderMacro.scala	47	compile(q"""(canvas: Canvas) => { println(org.apache.zeppelin.spark.utils.DisplayUtils.html(smile.plot.swing.Html.	CODE
CRITICAL	scala/src/main/scala-2.13/smile/plot/RenderMacro.scala	59	compile(q"""(grid: MultiFigurePane) => { println(org.apache.zeppelin.spark.utils.DisplayUtils.html(smile.plot.swin	CODE
CRITICAL	…rve/src/main/java/smile/chat/ConversationResource.java	280	return ConversationItem.find("conversationId", io.quarkus.panache.common.Sort.by("createdAt"),	CODE
CRITICAL	…rve/src/main/java/smile/chat/ConversationResource.java	282	.page(io.quarkus.panache.common.Page.of(pageIndex, pageSize))	CODE
CRITICAL	base/src/main/java/smile/io/Arrow.java	1324	return new org.apache.arrow.vector.types.pojo.Schema(fields, null);	CODE
CRITICAL	spark/src/test/java/smile/spark/DataTypeUtilsTest.java	76	org.apache.spark.sql.types.StructType sparkSchema = new org.apache.spark.sql.types.StructType(new StructField[]{	CODE
CRITICAL	…src/test/java/smile/spark/DataFrameConversionTest.java	54	org.apache.spark.sql.types.StructType schema = new org.apache.spark.sql.types.StructType(new StructField[]{	CODE
CRITICAL	…src/test/java/smile/spark/DataFrameConversionTest.java	93	org.apache.spark.sql.types.StructType schema = new org.apache.spark.sql.types.StructType(new StructField[]{	CODE
CRITICAL	spark/src/main/java/smile/spark/DataTypeUtils.java	142	return new org.apache.spark.sql.types.StructType(fields);	CODE
CRITICAL	spark/src/main/java/smile/spark/DataTypeUtils.java	157	return new org.apache.spark.sql.types.StructField(	CODE
CRITICAL	spark/src/main/java/smile/spark/DataTypeUtils.java	181	case Decimal -> org.apache.spark.sql.types.DataTypes.createDecimalType();	CODE
CRITICAL	spark/src/main/java/smile/spark/DataTypeUtils.java	189	yield org.apache.spark.sql.types.DataTypes.createArrayType(toSparkType(arr.getComponentType()), true);	CODE

Structural Annotation Overuse17 hits · 32 pts

Severity	File	Line	Snippet	Context
LOW	…/main/java/smile/classification/resampling/ADASYN.java	242	// Step 1: for each minority sample, count majority neighbors in k-NN of full data.	COMMENT
LOW⚡	…/main/java/smile/classification/resampling/ADASYN.java	261	// Step 2: normalize r̂ so it sums to 1.	COMMENT
LOW⚡	…/main/java/smile/classification/resampling/ADASYN.java	271	// Step 3: compute per-sample generation count g_i = round(r̂_i * G).	COMMENT
LOW	…/main/java/smile/classification/resampling/ADASYN.java	282	// Step 4: for each minority sample, generate g_i synthetic samples using	COMMENT
LOW⚡	core/src/main/java/smile/anomaly/LOF.java	251	// Step 1: find k nearest neighbors and k-distance for each observation	COMMENT
LOW⚡	core/src/main/java/smile/anomaly/LOF.java	258	// Step 2: compute local reachability density (lrd) for each observation	COMMENT
LOW	core/src/main/java/smile/anomaly/LOF.java	270	// Step 3: compute LOF scores	COMMENT
LOW⚡	base/DATA_TRANSFORMATION.md	416	// Step 1: fit imputer on raw training data	COMMENT
LOW⚡	base/DATA_TRANSFORMATION.md	419	// Step 2: fit scaler on imputed training data	COMMENT
LOW⚡	base/DATA_TRANSFORMATION.md	422	// Step 3: fit standardiser on scaled+imputed training data	COMMENT
LOW	…/src/test/java/smile/data/transform/TransformTest.java	156	// Step 1: 1 * 2 = 2; Step 2 applied to transformed data: 2 + 1 = 3	COMMENT
LOW⚡	base/src/main/java/smile/graph/Graph.java	1184	// Step 1: Find a Minimum Spanning Tree (MST)	COMMENT
LOW⚡	base/src/main/java/smile/graph/Graph.java	1188	// Step 2: Find vertices with odd degree in MST	COMMENT
LOW	base/src/main/java/smile/graph/Graph.java	1202	// Step 3: Perform Minimum Weight Perfect Matching on odd-degree vertices	COMMENT
LOW	base/src/main/java/smile/graph/Graph.java	1230	// Step 4: Combine MST edges and matching edges to form a multigraph	COMMENT
LOW	base/src/main/java/smile/graph/Graph.java	1243	// Step 5: Find an Eulerian Circuit	COMMENT
LOW	base/src/main/java/smile/graph/Graph.java	1269	// Step 6: Shortcut the Eulerian Circuit to form a Hamiltonian Path	COMMENT

Over-Commented Block31 hits · 30 pts

Severity	File	Line	Snippet	Context
LOW	studio/src/universal/conf/smile.ini	1	### Setting -X directly (-J is stripped)	COMMENT
LOW	studio/src/universal/conf/smile.ini	21		COMMENT
LOW	studio/src/universal/conf/smile.ini	41	# UseCompressedOop is on by default for up to 32GB heap.	COMMENT
LOW	core/src/test/java/smile/model/cart/LossTest.java	141	assertEquals(-1.0, response[0], 1E-12);	COMMENT
LOW	plot/src/main/java/smile/plot/swing/Canvas.java	681	propertyTable.setAutoResizeMode(JTable.AUTO_RESIZE_OFF);	COMMENT
LOW	bin/gpu-test-and-build.sh	1	#!/bin/bash	COMMENT
LOW	…st/java/smile/llm/model/qwen/QwenWindowVerifyTest.java	301	// row in the batch was a partial accept. A fully-accepted row (r == n)	COMMENT
LOW	…st/java/smile/llm/model/qwen/QwenWindowVerifyTest.java	401	// (testGivenSamePositionBatchedCohortWhenSpeculateBatchThenMatches...,	COMMENT
LOW	…st/java/smile/llm/model/qwen/QwenWindowVerifyTest.java	601		COMMENT
LOW	…lm/model/qwen/QwenVerifyGraphFullModelCaptureTest.java	141	Math.max(2, args.maxBatchSize()), device, ScalarType.Float);	COMMENT
LOW	…lm/model/qwen/QwenVerifyGraphFullModelCaptureTest.java	181	// otherwise mirrors): with random, untrained weights and a	COMMENT
LOW	deep/src/test/java/smile/deep/metric/MetricTest.java	541		COMMENT
LOW	deep/src/main/cpp/CMakeLists.txt	1	# =============================================================================	COMMENT
LOW	deep/src/main/cpp/CMakeLists.txt	121	message(STATUS "Torch version : ${Torch_VERSION}")	COMMENT
LOW	deep/src/main/cpp/smile_cuda_graph.cpp	1	/*	COMMENT
LOW	deep/src/main/cpp/smile_torch.cpp	21	* All C handles are thin heap wrappers around the corresponding libtorch	COMMENT
LOW	deep/src/main/cpp/smile_torch.cpp	41	#include <cstring>	COMMENT
LOW	deep/src/main/cpp/smile_torch.cpp	61	# include <ATen/BlasBackend.h>	COMMENT
LOW	deep/src/main/cpp/smile_flashinfer.cpp	1	/*	COMMENT
LOW	…/main/cpp/third_party/vllm_marlin/core/scalar_type.hpp	1	#pragma once	COMMENT
LOW	…arty/vllm_marlin/quantization/marlin/marlin_template.h	241	int max_shared_mem) {	COMMENT
LOW	…arty/vllm_marlin/quantization/marlin/marlin_template.h	661	// when the batchsize is not a multiple of 16.	COMMENT
LOW	…rty/vllm_marlin/moe/marlin_moe_wna16/marlin_template.h	261	// 1 2 4	COMMENT
LOW	…n/cpp/third_party/flashinfer/include/flashinfer/fp16.h	1	// SPDX - FileCopyrightText : 2017 - 2024 Marat Dukhan	COMMENT
LOW	…ird_party/flashinfer/include/flashinfer/cubin_loader.h	21	// The python code is expected to call `FlashInferSetCubinCallback` when	COMMENT
LOW	.github/workflows/codeql.yml	1	# For most projects, this workflow file will not need changing; you simply need	COMMENT
LOW	.github/workflows/smile-torch-build.yml	1	# =============================================================================	COMMENT
LOW	serve/src/test/docker/smoke-test.sh	1	#!/usr/bin/env bash	COMMENT
LOW	serve/src/main/resources/smile/chat/olive_cli.py	1	# Copyright (c) 2010-2026 Haifeng Li. All rights reserved.	COMMENT
LOW	base/DATASET.md	701	// -----------------------------------------------------------------	COMMENT
LOW	base/src/main/java/smile/util/HuggingFaceHub.java	421	// Check refs/ cache for a previously resolved commit hash.	COMMENT

Verbosity Indicators14 hits · 26 pts

Severity	File	Line	Snippet	Context
LOW	…/main/java/smile/classification/resampling/ADASYN.java	242	// Step 1: for each minority sample, count majority neighbors in k-NN of full data.	COMMENT
LOW⚡	…/main/java/smile/classification/resampling/ADASYN.java	261	// Step 2: normalize r̂ so it sums to 1.	COMMENT
LOW⚡	…/main/java/smile/classification/resampling/ADASYN.java	271	// Step 3: compute per-sample generation count g_i = round(r̂_i * G).	COMMENT
LOW	…/main/java/smile/classification/resampling/ADASYN.java	282	// Step 4: for each minority sample, generate g_i synthetic samples using	COMMENT
LOW⚡	core/src/main/java/smile/anomaly/LOF.java	251	// Step 1: find k nearest neighbors and k-distance for each observation	COMMENT
LOW⚡	core/src/main/java/smile/anomaly/LOF.java	258	// Step 2: compute local reachability density (lrd) for each observation	COMMENT
LOW	core/src/main/java/smile/anomaly/LOF.java	270	// Step 3: compute LOF scores	COMMENT
LOW	…/src/test/java/smile/data/transform/TransformTest.java	156	// Step 1: 1 * 2 = 2; Step 2 applied to transformed data: 2 + 1 = 3	COMMENT
LOW⚡	base/src/main/java/smile/graph/Graph.java	1184	// Step 1: Find a Minimum Spanning Tree (MST)	COMMENT
LOW⚡	base/src/main/java/smile/graph/Graph.java	1188	// Step 2: Find vertices with odd degree in MST	COMMENT
LOW	base/src/main/java/smile/graph/Graph.java	1202	// Step 3: Perform Minimum Weight Perfect Matching on odd-degree vertices	COMMENT
LOW	base/src/main/java/smile/graph/Graph.java	1230	// Step 4: Combine MST edges and matching edges to form a multigraph	COMMENT
LOW	base/src/main/java/smile/graph/Graph.java	1243	// Step 5: Find an Eulerian Circuit	COMMENT
LOW	base/src/main/java/smile/graph/Graph.java	1269	// Step 6: Shortcut the Eulerian Circuit to form a Hamiltonian Path	COMMENT

AI Slop Vocabulary7 hits · 20 pts

Severity	File	Line	Snippet	Context
MEDIUM	core/src/test/java/smile/association/ARMTest.java	117	// leverage = 0.6 - 0.8 * 0.7 = 0.04	COMMENT
MEDIUM	core/src/test/java/smile/association/ARMTest.java	150	// Given — lift and leverage differ; equals/hashCode intentionally ignores them	COMMENT
MEDIUM	…le/feature/transform/FeatureTransformEdgeCaseTest.java	247	// Then – the bulk of data (first 5 rows) should be less spread by robust	COMMENT
MEDIUM	…del/qwen/QwenVerifyGraphTensorParallelCaptureTest.java	187	// real, robust correctness signal.	COMMENT
MEDIUM	…lm/model/qwen/QwenVerifyGraphFullModelCaptureTest.java	187	// diff below is the real, robust correctness signal.	COMMENT
MEDIUM	serve/src/main/webui/package-lock.json	3837	"resolved": "https://registry.npmjs.org/robust-predicates/-/robust-predicates-3.0.3.tgz",	CODE
MEDIUM	base/src/test/java/smile/cs/CompressedSensingTest.java	192	// Generous iteration budget for a robust test	COMMENT

Cross-File Repetition4 hits · 20 pts

Severity	File	Snippet	Context
HIGH	kotlin/src/main/kotlin/smile/regression.kt	able to handle both numerical and categorical data:	STRING
HIGH	kotlin/src/main/kotlin/smile/classification.kt	able to handle both numerical and categorical data:	STRING
HIGH	scala/src/main/scala/smile/classification/package.scala	able to handle both numerical and categorical data:	STRING
HIGH	scala/src/main/scala/smile/regression/package.scala	able to handle both numerical and categorical data:	STRING

Magic Placeholder Names2 hits · 10 pts

Severity	File	Line	Snippet	Context
HIGH	studio/README.md	836	export SERPAPI_KEY="your_api_key"	CODE
HIGH	studio/README.md	839	$env:SERPAPI_KEY = "your_api_key"	CODE

Fake / Example Data4 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	studio/src/test/java/smile/studio/StatusBarTest.java	89	"Acme Corp",	CODE
LOW	studio/src/test/java/smile/studio/StatusBarTest.java	104	assertTrue(statusBar.getLicenseBadgeText().contains("Acme Corp"));	CODE
LOW	…c/test/java/smile/studio/license/LicenseStoreTest.java	258	{"ver":1,"id":"LIC-2026-0300","customer":"Acme Corp","tier":"STUDIO_TEAM","seats":5,"issuedAt":"2026-04-	CODE
LOW	…c/test/java/smile/studio/license/LicenseStoreTest.java	284	{"ver":1,"id":"LIC-2026-0400","customer":"Acme Corp","tier":"ENTERPRISE","seats":25,"issuedAt":"2026-04-	CODE

Slop Phrases1 hit · 3 pts

Severity	File	Line	Snippet	Context
MEDIUM	.github/workflows/codeql.yml	58	# If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how	COMMENT

Self-Referential Comments1 hit · 3 pts

Severity	File	Line	Snippet	Context
MEDIUM	.github/workflows/ci.yml	51	# Create a symlink to the latest libonnxruntime.so in the capi directory	COMMENT

Modern AI Meta-Vocabulary1 hit · 2 pts

Severity	File	Line	Snippet	Context
MEDIUM	studio/README.md	3	> SMILE Studio is an agentic IDE for data science using Python or [SMILE](https://www.aihalo.dev//) on JVM. It combi	CODE

Redundant / Tautological Comments1 hit · 2 pts

Severity	File	Line	Snippet	Context
LOW	bin/setup.sh	11	# Check if running inside a GitHub Actions runner	COMMENT

Deep Nesting1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	…ty/vllm_marlin/quantization/marlin/generate_kernels.py	103		CODE

Hyper-Verbose Identifiers1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	serve/src/main/resources/smile/chat/olive_cli.py	40	def maybe_register_ep_libraries(ep_paths: dict) -> None:	CODE

Excessive Try-Catch Wrapping1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	serve/src/main/resources/smile/chat/olive_cli.py	68	except Exception as exc: # noqa: BLE001 — skip broken optional EPs	CODE

Unused Imports1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	serve/src/main/resources/smile/chat/olive_cli.py	30		CODE

haifengl/smile

Open-Source Code Quality, Security and Technical Debt Review