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scala 3.9.0, run scalafix - #163

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Oct 2, 2026
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scala 3.9.0, run scalafix#163
Quafadas merged 2 commits into
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@Quafadas Quafadas commented Oct 2, 2026

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Bytecode audit (Tier 1) — ⚠️ no failures, 1 WARN

JDK 25.0.2 (major 25), OpenJDK 64-Bit Server VM

Vector lanes (DoubleVector.SPECIES_PREFERRED.length()): 4

threshold value provenance
MaxTrivialSize 6 discovered
MaxInlineSize 35 discovered
FreqInlineSize 325 discovered
MaxInlineLevel 15 discovered
InlineSmallCode 2500 discovered
NodeCountInliningCutoff 18000 assumed
HugeMethodLimit 8000 assumed

-XX:HugeMethodLimit= was rejected on the command line: a develop flag compiled out of this product build, so 8000 is taken from the HotSpot source and cannot be confirmed against the running JVM.

metric now baseline delta
cheatsheet methods 52 — —
total bytes 28655 36556 -21.6%
distinct library ops 202 204 -1.0%
bytes per op 141.9 179.2 -20.8%
severity check at method detail
WARN C9 bytecode/baseline.json cheatsheet.scala the cheatsheet now invokes 202 distinct library operations, down from 204. A shrinking denominator loosens this check and unaudits whatever stopped being called
Annotated methods (184)
method annotations bytes budget used loop at
vecxt.floatarrays$.$minus$eq @Thin 26 74% of 35 no floatarrays.scala:735
vecxt.doublearrays$.$minus$eq @Thin 26 74% of 35 no doublearrays.scala:1030
vecxt.intarrays$.$plus @Thin 24 69% of 35 no intarrays.scala:545
vecxt.intarrays$.$minus @Thin 24 69% of 35 no intarrays.scala:398
vecxt.floatarrays$.$minus @Thin 24 69% of 35 no floatarrays.scala:724
vecxt.doublearrays$.$minus @Thin 24 69% of 35 no doublearrays.scala:1018
vecxt.floatarrays$.dot @Thin 23 66% of 35 no floatarrays.scala:650
vecxt.doublearrays$.dot @Thin 23 66% of 35 no doublearrays.scala:1003
vecxt.NDArrayFloatOps$.compareGeneral @HotPath 195 60% of 325 yes ndarrayFloatOps.scala:67
vecxt.NDArrayFloatOps$.binaryOpGeneral @HotPath 195 60% of 325 yes ndarrayFloatOps.scala:20
vecxt.NDArrayIntOps$.compareGeneral @HotPath 186 57% of 325 yes ndarrayIntOps.scala:67
vecxt.NDArrayIntOps$.binaryOpGeneral @HotPath 186 57% of 325 yes ndarrayIntOps.scala:19
vecxt.NDArrayDoubleOps$.compareGeneral @HotPath 186 57% of 325 yes ndarrayDoubleOps.scala:74
vecxt.NDArrayDoubleOps$.binaryOpGeneral @HotPath 186 57% of 325 yes ndarrayDoubleOps.scala:24
vecxt.doublearrays$.clamp$bang @AllocFree @HotPath 180 55% of 325 yes doublearrays.scala:897
vecxt.matrix$Layout.linearIndex @Thin 19 54% of 35 no matrix.scala:48
vecxt.floatarrays$.clamp$bang @AllocFree @HotPath 172 53% of 325 yes floatarrays.scala:418
vecxt.NDArrayFloatOps$.compareScalarGeneral @HotPath 165 51% of 325 yes ndarrayFloatOps.scala:94
vecxt.NDArrayFloatOps$.binaryOpInPlaceGeneral @HotPath 162 50% of 325 yes ndarrayFloatOps.scala:119
vecxt.NDArrayDoubleOps$.compareScalarGeneral @HotPath 157 48% of 325 yes ndarrayDoubleOps.scala:102
vecxt.NDArrayIntOps$.compareScalarGeneral @HotPath 156 48% of 325 yes ndarrayIntOps.scala:94
vecxt.NDArrayIntOps$.binaryOpInPlaceGeneral @HotPath 153 47% of 325 yes ndarrayIntOps.scala:119
vecxt.NDArrayDoubleOps$.binaryOpInPlaceGeneral @HotPath 153 47% of 325 yes ndarrayDoubleOps.scala:131
vecxt.NDArrayIntOps$.unaryOpGeneral @HotPath 152 47% of 325 yes ndarrayIntOps.scala:42
vecxt.NDArrayDoubleOps$.unaryOpGeneral @HotPath 152 47% of 325 yes ndarrayDoubleOps.scala:48
vecxt.intarrays$.$minus @Thin 16 46% of 35 no intarrays.scala:518
vecxt.floatarrays$.cumsum @Thin 15 43% of 35 no floatarrays.scala:694
vecxt.doublearrays$.cumsum @Thin 15 43% of 35 no doublearrays.scala:984
vecxt.doublearrays$.fillLinspace @AllocFree @HotPath 133 41% of 325 yes doublearrays.scala:33
vecxt.intarrays$.increments @HotPath 121 37% of 325 yes intarrays.scala:218
vecxt.ndarray$.mkNDArray @Thin 13 37% of 35 no ndarray.scala:188
vecxt.floatarrays$.norm @Thin 13 37% of 35 no floatarrays.scala:655
vecxt.doublearrays$.norm @Thin 13 37% of 35 no doublearrays.scala:1008
vecxt.doublearrays$.$plus @AllocFree @HotPath 116 36% of 325 yes doublearrays.scala:1064
vecxt.doublearrays$.$minus @AllocFree @HotPath 116 36% of 325 yes doublearrays.scala:1127
vecxt.doublearrays$.$div @AllocFree @HotPath 116 36% of 325 yes doublearrays.scala:1340
vecxt.doublearrays$.increments @HotPath 110 34% of 325 yes doublearrays.scala:396
vecxt.intarrays$.dot @AllocFree @HotPath 108 33% of 325 yes intarrays.scala:371
vecxt.doublearrays$.unary_$minus @HotPath 108 33% of 325 yes doublearrays.scala:171
vecxt.doublearrays$.tanh @HotPath 108 33% of 325 yes doublearrays.scala:364
vecxt.doublearrays$.tan @HotPath 108 33% of 325 yes doublearrays.scala:353
vecxt.doublearrays$.sqrt @HotPath 108 33% of 325 yes doublearrays.scala:316
vecxt.doublearrays$.sinh @HotPath 108 33% of 325 yes doublearrays.scala:338
vecxt.doublearrays$.sin @HotPath 108 33% of 325 yes doublearrays.scala:327
vecxt.doublearrays$.log1p @HotPath 108 33% of 325 yes doublearrays.scala:305
vecxt.doublearrays$.log10 @HotPath 108 33% of 325 yes doublearrays.scala:294
vecxt.doublearrays$.log @HotPath 108 33% of 325 yes doublearrays.scala:283
vecxt.doublearrays$.expm1 @HotPath 108 33% of 325 yes doublearrays.scala:272
vecxt.doublearrays$.exp @HotPath 108 33% of 325 yes doublearrays.scala:261
vecxt.doublearrays$.cosh @HotPath 108 33% of 325 yes doublearrays.scala:250
vecxt.doublearrays$.cos @HotPath 108 33% of 325 yes doublearrays.scala:239
vecxt.doublearrays$.cbrt @HotPath 108 33% of 325 yes doublearrays.scala:228
vecxt.doublearrays$.atan @HotPath 108 33% of 325 yes doublearrays.scala:217
vecxt.doublearrays$.asin @HotPath 108 33% of 325 yes doublearrays.scala:206
vecxt.doublearrays$.acos @HotPath 108 33% of 325 yes doublearrays.scala:195
vecxt.doublearrays$.abs @HotPath 108 33% of 325 yes doublearrays.scala:183
vecxt.intarrays$.$less @HotPath 106 33% of 325 yes intarrays.scala:47
vecxt.intarrays$.$less$eq @HotPath 106 33% of 325 yes intarrays.scala:51
vecxt.intarrays$.$greater @HotPath 106 33% of 325 yes intarrays.scala:55
vecxt.intarrays$.$greater$eq @HotPath 106 33% of 325 yes intarrays.scala:59
vecxt.intarrays$.$eq$colon$eq @HotPath 106 33% of 325 yes intarrays.scala:39
vecxt.intarrays$.$bang$colon$eq @HotPath 106 33% of 325 yes intarrays.scala:43
vecxt.floatarrays$.unary_$minus @HotPath 104 32% of 325 yes floatarrays.scala:115
vecxt.floatarrays$.tanh @HotPath 104 32% of 325 yes floatarrays.scala:304
vecxt.floatarrays$.tan @HotPath 104 32% of 325 yes floatarrays.scala:293
vecxt.floatarrays$.sqrt @HotPath 104 32% of 325 yes floatarrays.scala:260
vecxt.floatarrays$.sinh @HotPath 104 32% of 325 yes floatarrays.scala:282
vecxt.floatarrays$.sin @HotPath 104 32% of 325 yes floatarrays.scala:271
vecxt.floatarrays$.log1p @HotPath 104 32% of 325 yes floatarrays.scala:249
vecxt.floatarrays$.log10 @HotPath 104 32% of 325 yes floatarrays.scala:238
vecxt.floatarrays$.log @HotPath 104 32% of 325 yes floatarrays.scala:227
vecxt.floatarrays$.expm1 @HotPath 104 32% of 325 yes floatarrays.scala:216
vecxt.floatarrays$.exp @HotPath 104 32% of 325 yes floatarrays.scala:205
vecxt.floatarrays$.cosh @HotPath 104 32% of 325 yes floatarrays.scala:194
vecxt.floatarrays$.cos @HotPath 104 32% of 325 yes floatarrays.scala:183
vecxt.floatarrays$.cbrt @HotPath 104 32% of 325 yes floatarrays.scala:172
vecxt.floatarrays$.atan @HotPath 104 32% of 325 yes floatarrays.scala:161
vecxt.floatarrays$.asin @HotPath 104 32% of 325 yes floatarrays.scala:150
vecxt.floatarrays$.acos @HotPath 104 32% of 325 yes floatarrays.scala:139
vecxt.floatarrays$.abs @HotPath 104 32% of 325 yes floatarrays.scala:127
vecxt.intarrays$.mean @Thin 11 31% of 35 no intarrays.scala:286
vecxt.doublearrays$.sumSIMD @AllocFree @HotPath 102 31% of 325 yes doublearrays.scala:702
vecxt.doublearrays$.tanh$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.tan$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.sqrt$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.sinh$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.sin$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.log1p$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.log10$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.log$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.expm1$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.exp$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.cosh$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.cos$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.cbrt$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.atan$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.asin$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.acos$bang @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.abs$bang @AllocFree @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.doublearrays$.$minus$bang @AllocFree @HotPath 98 30% of 325 yes doublearrays.scala:150
vecxt.floatarrays$.increments @HotPath 97 30% of 325 yes floatarrays.scala:659
vecxt.doublearrays$.$times$times$bang @HotPath 95 29% of 325 yes doublearrays.scala:371
vecxt.intarrays$.$less @HotPath 94 29% of 325 yes intarrays.scala:138
vecxt.intarrays$.$less$eq @HotPath 94 29% of 325 yes intarrays.scala:142
vecxt.intarrays$.$greater @HotPath 94 29% of 325 yes intarrays.scala:146
vecxt.intarrays$.$greater$eq @HotPath 94 29% of 325 yes intarrays.scala:150
vecxt.intarrays$.$eq$colon$eq @HotPath 94 29% of 325 yes intarrays.scala:130
vecxt.intarrays$.$bang$colon$eq @HotPath 94 29% of 325 yes intarrays.scala:134
vecxt.floatarrays$.tanh$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.tan$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.sqrt$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.sinh$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.sin$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.log1p$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.log10$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.log$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.expm1$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.exp$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.cosh$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.cos$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.cbrt$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.atan$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.asin$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.acos$bang @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.abs$bang @AllocFree @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.floatarrays$.$minus$bang @AllocFree @HotPath 93 29% of 325 yes floatarrays.scala:95
vecxt.intarrays$.variance @Thin 10 29% of 35 no intarrays.scala:303
vecxt.intarrays$.std @Thin 10 29% of 35 no intarrays.scala:360
vecxt.doublearrays$.variance @AllocFree @Thin 10 29% of 35 no doublearrays.scala:540
vecxt.doublearrays$.$plus$eq @AllocFree @HotPath 90 28% of 325 yes doublearrays.scala:1086
vecxt.doublearrays$.$minus$eq @AllocFree @HotPath 90 28% of 325 yes doublearrays.scala:1174
vecxt.doublearrays$.$times$eq @AllocFree @HotPath 88 27% of 325 yes doublearrays.scala:1249
vecxt.doublearrays$.productSIMD @AllocFree @HotPath 86 26% of 325 yes doublearrays.scala:725
vecxt.floatarrays$.$times$times$bang @HotPath 85 26% of 325 yes floatarrays.scala:315
vecxt.doublearrays$.sumSIMD @AllocFree @HotPath 85 26% of 325 yes doublearrays.scala:676
vecxt.doublearrays$.fma$bang @AllocFree @HotPath 85 26% of 325 yes doublearrays.scala:1149
vecxt.intarrays$.$plus$eq @AllocFree @HotPath 84 26% of 325 yes intarrays.scala:554
vecxt.intarrays$.$minus$eq @AllocFree @HotPath 84 26% of 325 yes intarrays.scala:526
vecxt.floatarrays$.$times$eq @AllocFree @HotPath 84 26% of 325 yes floatarrays.scala:892
vecxt.floatarrays$.$plus$eq @AllocFree @HotPath 84 26% of 325 yes floatarrays.scala:790
vecxt.floatarrays$.$minus$eq @AllocFree @HotPath 84 26% of 325 yes floatarrays.scala:830
vecxt.ndarrayOps.expandDims @Thin 9 26% of 35 no ndarrayOps.scala
vecxt.intarrays.stdDev @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays.meanAndVariance @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays.lte @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays.lte @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays.lt @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays.lt @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays.gte @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays.gte @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays.gt @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays.gt @Thin 9 26% of 35 no intarrays.scala
vecxt.intarrays$.variance @Thin 9 26% of 35 no intarrays.scala:290
vecxt.intarrays$.stdDev @Thin 9 26% of 35 no intarrays.scala:363
vecxt.intarrays$.std @Thin 9 26% of 35 no intarrays.scala:356
vecxt.intarrays$.meanAndVariance @Thin 9 26% of 35 no intarrays.scala:307
vecxt.doublearrays.meanAndVariance @Thin 9 26% of 35 no doublearrays.scala
vecxt.doublearrays$.meanAndVariance @Thin 9 26% of 35 no doublearrays.scala:554
vecxt.intarrays$.minSIMD @AllocFree @HotPath 82 25% of 325 yes intarrays.scala:574
vecxt.intarrays$.maxSIMD @AllocFree @HotPath 82 25% of 325 yes intarrays.scala:594
vecxt.floatarrays$.productSIMD @AllocFree @HotPath 82 25% of 325 yes floatarrays.scala:538
vecxt.intarrays$.sumSIMD @AllocFree @HotPath 81 25% of 325 yes intarrays.scala:264
vecxt.floatarrays$.sumSIMD @AllocFree @HotPath 81 25% of 325 yes floatarrays.scala:517
vecxt.floatarrays$.fma$bang @AllocFree @HotPath 80 25% of 325 yes floatarrays.scala:341
vecxt.floatarrays$.$times$eq @AllocFree @HotPath 78 24% of 325 yes floatarrays.scala:944
vecxt.ndarray.shapeArray @Thin 8 23% of 35 no ndarray.scala
vecxt.matrix$Matrix.rows @Thin 8 23% of 35 no matrix.scala:195
vecxt.matrix$Matrix.rowStride @Thin 8 23% of 35 no matrix.scala:201
vecxt.matrix$Matrix.offset @Thin 8 23% of 35 no matrix.scala:207
vecxt.matrix$Matrix.numel @Thin 8 23% of 35 no matrix.scala:210
vecxt.matrix$Matrix.isDenseRowMajor @Thin 8 23% of 35 no matrix.scala:216
vecxt.matrix$Matrix.isDenseColMajor @Thin 8 23% of 35 no matrix.scala:213
vecxt.matrix$Matrix.hasSimpleContiguousMemoryLayout @Thin 8 23% of 35 no matrix.scala:228
vecxt.matrix$Matrix.cols @Thin 8 23% of 35 no matrix.scala:198
vecxt.matrix$Matrix.colStride @Thin 8 23% of 35 no matrix.scala:204
vecxt.intarrays$.countsToIdx @HotPath 70 22% of 325 yes intarrays.scala:243
vecxt.intarrays$.$minus$eq @AllocFree @HotPath 67 21% of 325 yes intarrays.scala:407
vecxt.IntArraysX$.select @HotPath 44 14% of 325 yes intarray.scala:74
vecxt.IntArraysX$.contiguous @HotPath 39 12% of 325 yes intarray.scala:111
vecxt.floatarrays$.cumsum$bang @AllocFree @HotPath 27 8% of 325 yes floatarrays.scala:685
vecxt.doublearrays$.cumsum$bang @AllocFree @HotPath 27 8% of 325 yes doublearrays.scala:975
vecxt.floatarrays$.$plus$eq @AllocFree @HotPath 24 7% of 325 no floatarrays.scala:749
vecxt.JvmFloatMatrix$.$times$eq @AllocFree 316 n/a (Phase 2, D1) yes floatmatrix.scala:177
vecxt.JvmDoubleMatrix$.$times$eq @AllocFree 316 n/a (Phase 2, D1) yes doublematrix.scala:207
Method sizes
band methods
<= 6 (trivial, always inlined) 1613
7-35 (inlinable cold) 4177
36-325 (inlinable when hot) 730
326-8000 (not inlined) 121
> 8000 (NEVER JIT COMPILED) 0
bytes method module at
4290 CheatsheetTest$.matrixRangeSlicing experiments cheatsheet.scala:118
3531 CheatsheetTest$.ndArrayInt experiments cheatsheet.scala:416
3511 CheatsheetTest$.ndArrayBoolean experiments cheatsheet.scala:430
2918 CheatsheetTest$.ndArrayFloat experiments cheatsheet.scala:395
2913 CheatsheetTest$.matrixReverseSlicing experiments cheatsheet.scala:125
2845 CheatsheetTest$.ndArrayFloatReductions experiments cheatsheet.scala:405
2440 vecxt_re.Tower.show vecxt_re Tower.scala:63
1493 vecxt.Determinant$.inv vecxt determinant.scala:273
1450 vecxt.ndarrayOps$.apply vecxt ndarrayOps.scala:451
1390 vecxt.Determinant$.adj vecxt determinant.scala:187
1281 vecxt.QR$.qr vecxt qr.scala:39
1250 vecxt.LU$.lu vecxt lu.scala:45
1236 vecxt.Determinant$.det vecxt determinant.scala:44
979 CheatsheetTest$.arrayManipulation experiments cheatsheet.scala:305
963 vecxt.JvmDoubleMatrix$.$plus$eq vecxt doublematrix.scala:307
939 vecxt.JvmFloatMatrix$.floatmatrixAddVectorInPlace vecxt floatmatrix.scala:279
939 vecxt.JvmFloatMatrix$.floatmatrixSubVectorInPlace vecxt floatmatrix.scala:379
937 vecxt_re.Scenarr$.combine vecxt_re scenarr.scala:160
925 vecxt.JvmFloatMatrix$.floatmatrixSubVector vecxt floatmatrix.scala:361
896 vecxt_re.NegativeBinomial$.volweightedMle vecxt_re NegativeBinomial.scala:281
878 vecxt_re.NegativeBinomial$.mle vecxt_re NegativeBinomial.scala:151
861 vecxt.Eigenvalues$.eig vecxt eig.scala:18
843 vecxt.JvmDoubleMatrix$.$plus$eq vecxt doublematrix.scala:437
828 vecxt.JvmFloatMatrix$.floatmatrixAddScalarInPlace vecxt floatmatrix.scala:455
828 vecxt.JvmFloatMatrix$.floatmatrixSubScalarInPlace vecxt floatmatrix.scala:527
Proposed baseline 
{
  "jdkMajor": 25,
  "c9": { "totalBytes": 28655, "distinctOps": 202 },
  "annotated": {
    "vecxt.IntArraysX$.contiguous([I)Z": 39,
    "vecxt.IntArraysX$.select([I[I)[I": 44,
    "vecxt.JvmDoubleMatrix$.$times$eq(Lvecxt/matrix$Matrix;[D[DDD)V": 316,
    "vecxt.JvmFloatMatrix$.$times$eq(Lvecxt/matrix$Matrix;[F[FFF)V": 316,
    "vecxt.NDArrayDoubleOps$.binaryOpGeneral(Lvecxt/ndarray$NDArray;Lvecxt/ndarray$NDArray;Lscala/Function2;)Lvecxt/ndarray$NDArray;": 186,
    "vecxt.NDArrayDoubleOps$.binaryOpInPlaceGeneral(Lvecxt/ndarray$NDArray;Lvecxt/ndarray$NDArray;Lscala/Function2;)V": 153,
    "vecxt.NDArrayDoubleOps$.compareGeneral(Lvecxt/ndarray$NDArray;Lvecxt/ndarray$NDArray;Lscala/Function2;)Lvecxt/ndarray$NDArray;": 186,
    "vecxt.NDArrayDoubleOps$.compareScalarGeneral(Lvecxt/ndarray$NDArray;DLscala/Function2;)Lvecxt/ndarray$NDArray;": 157,
    "vecxt.NDArrayDoubleOps$.unaryOpGeneral(Lvecxt/ndarray$NDArray;Lscala/Function1;)Lvecxt/ndarray$NDArray;": 152,
    "vecxt.NDArrayFloatOps$.binaryOpGeneral(Lvecxt/ndarray$NDArray;Lvecxt/ndarray$NDArray;Lscala/Function2;)Lvecxt/ndarray$NDArray;": 195,
    "vecxt.NDArrayFloatOps$.binaryOpInPlaceGeneral(Lvecxt/ndarray$NDArray;Lvecxt/ndarray$NDArray;Lscala/Function2;)V": 162,
    "vecxt.NDArrayFloatOps$.compareGeneral(Lvecxt/ndarray$NDArray;Lvecxt/ndarray$NDArray;Lscala/Function2;)Lvecxt/ndarray$NDArray;": 195,
    "vecxt.NDArrayFloatOps$.compareScalarGeneral(Lvecxt/ndarray$NDArray;FLscala/Function2;)Lvecxt/ndarray$NDArray;": 165,
    "vecxt.NDArrayIntOps$.binaryOpGeneral(Lvecxt/ndarray$NDArray;Lvecxt/ndarray$NDArray;Lscala/Function2;)Lvecxt/ndarray$NDArray;": 186,
    "vecxt.NDArrayIntOps$.binaryOpInPlaceGeneral(Lvecxt/ndarray$NDArray;Lvecxt/ndarray$NDArray;Lscala/Function2;)V": 153,
    "vecxt.NDArrayIntOps$.compareGeneral(Lvecxt/ndarray$NDArray;Lvecxt/ndarray$NDArray;Lscala/Function2;)Lvecxt/ndarray$NDArray;": 186,
    "vecxt.NDArrayIntOps$.compareScalarGeneral(Lvecxt/ndarray$NDArray;ILscala/Function2;)Lvecxt/ndarray$NDArray;": 156,
    "vecxt.NDArrayIntOps$.unaryOpGeneral(Lvecxt/ndarray$NDArray;Lscala/Function1;)Lvecxt/ndarray$NDArray;": 152,
    "vecxt.doublearrays$.$div([DDII[DI)V": 116,
    "vecxt.doublearrays$.$minus$bang([D)V": 98,
    "vecxt.doublearrays$.$minus$eq([DD)V": 90,
    "vecxt.doublearrays$.$minus$eq([D[D)V": 26,
    "vecxt.doublearrays$.$minus([DDII[DI)V": 116,
    "vecxt.doublearrays$.$minus([D[D)[D": 24,
    "vecxt.doublearrays$.$plus$eq([DD)V": 90,
    "vecxt.doublearrays$.$plus([DDII[DI)V": 116,
    "vecxt.doublearrays$.$times$eq([D[D)V": 88,
    "vecxt.doublearrays$.$times$times$bang([DD)V": 95,
    "vecxt.doublearrays$.abs$bang([D)V": 98,
    "vecxt.doublearrays$.abs([D)[D": 108,
    "vecxt.doublearrays$.acos$bang([D)V": 98,
    "vecxt.doublearrays$.acos([D)[D": 108,
    "vecxt.doublearrays$.asin$bang([D)V": 98,
    "vecxt.doublearrays$.asin([D)[D": 108,
    "vecxt.doublearrays$.atan$bang([D)V": 98,
    "vecxt.doublearrays$.atan([D)[D": 108,
    "vecxt.doublearrays$.cbrt$bang([D)V": 98,
    "vecxt.doublearrays$.cbrt([D)[D": 108,
    "vecxt.doublearrays$.clamp$bang([DDD)V": 180,
    "vecxt.doublearrays$.cos$bang([D)V": 98,
    "vecxt.doublearrays$.cos([D)[D": 108,
    "vecxt.doublearrays$.cosh$bang([D)V": 98,
    "vecxt.doublearrays$.cosh([D)[D": 108,
    "vecxt.doublearrays$.cumsum$bang([D)V": 27,
    "vecxt.doublearrays$.cumsum([D)[D": 15,
    "vecxt.doublearrays$.dot([D[D)D": 23,
    "vecxt.doublearrays$.exp$bang([D)V": 98,
    "vecxt.doublearrays$.exp([D)[D": 108,
    "vecxt.doublearrays$.expm1$bang([D)V": 98,
    "vecxt.doublearrays$.expm1([D)[D": 108,
    "vecxt.doublearrays$.fillLinspace([DDD)V": 133,
    "vecxt.doublearrays$.fma$bang([DDD)V": 85,
    "vecxt.doublearrays$.increments([D)[D": 110,
    "vecxt.doublearrays$.log$bang([D)V": 98,
    "vecxt.doublearrays$.log([D)[D": 108,
    "vecxt.doublearrays$.log10$bang([D)V": 98,
    "vecxt.doublearrays$.log10([D)[D": 108,
    "vecxt.doublearrays$.log1p$bang([D)V": 98,
    "vecxt.doublearrays$.log1p([D)[D": 108,
    "vecxt.doublearrays$.meanAndVariance([D)Lvecxt/MeanAndVariance;": 9,
    "vecxt.doublearrays$.norm([D)D": 13,
    "vecxt.doublearrays$.productSIMD([D)D": 86,
    "vecxt.doublearrays$.sin$bang([D)V": 98,
    "vecxt.doublearrays$.sin([D)[D": 108,
    "vecxt.doublearrays$.sinh$bang([D)V": 98,
    "vecxt.doublearrays$.sinh([D)[D": 108,
    "vecxt.doublearrays$.sqrt$bang([D)V": 98,
    "vecxt.doublearrays$.sqrt([D)[D": 108,
    "vecxt.doublearrays$.sumSIMD([D)D": 85,
    "vecxt.doublearrays$.sumSIMD([DII)D": 102,
    "vecxt.doublearrays$.tan$bang([D)V": 98,
    "vecxt.doublearrays$.tan([D)[D": 108,
    "vecxt.doublearrays$.tanh$bang([D)V": 98,
    "vecxt.doublearrays$.tanh([D)[D": 108,
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    "vecxt.doublearrays$.variance([DLvecxt/VarianceMode;)D": 10,
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}

@Quafadas Quafadas changed the title . scala 3.9.0, run scalafix Oct 2, 2026
@Quafadas
Quafadas merged commit fbd8aac into main Oct 2, 2026
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