Closed Skylion007 closed 3 weeks ago
:white_check_mark:
Hi, I am the SymPy bot. I'm here to help you write a release notes entry. Please read the guide on how to write release notes.
Benchmark results from GitHub Actions
Lower numbers are good, higher numbers are bad. A ratio less than 1
means a speed up and greater than 1 means a slowdown. Green lines
beginning with +
are slowdowns (the PR is slower then master or
master is slower than the previous release). Red lines beginning
with -
are speedups.
Significantly changed benchmark results (PR vs master)
Significantly changed benchmark results (master vs previous release)
| Change | Before [2487dbb5] | After [8f9d0439] | Ratio | Benchmark (Parameter) |
|----------|----------------------|---------------------|---------|----------------------------------------------------------------------|
| - | 71.5±1ms | 45.8±0.3ms | 0.64 | integrate.TimeIntegrationRisch02.time_doit(10) |
| - | 68.8±0.7ms | 44.8±0.2ms | 0.65 | integrate.TimeIntegrationRisch02.time_doit_risch(10) |
| + | 19.4±0.3μs | 30.7±0.4μs | 1.58 | integrate.TimeIntegrationRisch03.time_doit(1) |
| - | 5.62±0.08ms | 2.95±0.01ms | 0.53 | logic.LogicSuite.time_load_file |
| - | 72.8±0.3ms | 28.6±0.3ms | 0.39 | polys.TimeGCD_GaussInt.time_op(1, 'dense') |
| - | 26.1±0.07ms | 17.1±0.08ms | 0.66 | polys.TimeGCD_GaussInt.time_op(1, 'expr') |
| - | 73.0±0.1ms | 29.0±0.1ms | 0.4 | polys.TimeGCD_GaussInt.time_op(1, 'sparse') |
| - | 257±2ms | 125±0.3ms | 0.49 | polys.TimeGCD_GaussInt.time_op(2, 'dense') |
| - | 255±2ms | 126±1ms | 0.49 | polys.TimeGCD_GaussInt.time_op(2, 'sparse') |
| - | 663±2ms | 377±1ms | 0.57 | polys.TimeGCD_GaussInt.time_op(3, 'dense') |
| - | 661±6ms | 377±3ms | 0.57 | polys.TimeGCD_GaussInt.time_op(3, 'sparse') |
| - | 494±1μs | 290±1μs | 0.59 | polys.TimeGCD_LinearDenseQuadraticGCD.time_op(1, 'dense') |
| - | 1.77±0.01ms | 1.06±0ms | 0.6 | polys.TimeGCD_LinearDenseQuadraticGCD.time_op(2, 'dense') |
| - | 5.84±0.04ms | 3.06±0.02ms | 0.52 | polys.TimeGCD_LinearDenseQuadraticGCD.time_op(3, 'dense') |
| - | 446±3μs | 231±1μs | 0.52 | polys.TimeGCD_QuadraticNonMonicGCD.time_op(1, 'dense') |
| - | 1.50±0.02ms | 689±6μs | 0.46 | polys.TimeGCD_QuadraticNonMonicGCD.time_op(2, 'dense') |
| - | 4.93±0.03ms | 1.66±0.01ms | 0.34 | polys.TimeGCD_QuadraticNonMonicGCD.time_op(3, 'dense') |
| - | 378±3μs | 206±0.7μs | 0.55 | polys.TimeGCD_SparseGCDHighDegree.time_op(1, 'dense') |
| - | 2.45±0.01ms | 1.24±0ms | 0.51 | polys.TimeGCD_SparseGCDHighDegree.time_op(3, 'dense') |
| - | 10.1±0.04ms | 4.34±0.04ms | 0.43 | polys.TimeGCD_SparseGCDHighDegree.time_op(5, 'dense') |
| - | 367±4μs | 172±0.8μs | 0.47 | polys.TimeGCD_SparseNonMonicQuadratic.time_op(1, 'dense') |
| - | 2.48±0.03ms | 915±6μs | 0.37 | polys.TimeGCD_SparseNonMonicQuadratic.time_op(3, 'dense') |
| - | 9.55±0.05ms | 2.64±0.01ms | 0.28 | polys.TimeGCD_SparseNonMonicQuadratic.time_op(5, 'dense') |
| - | 1.03±0.01ms | 434±3μs | 0.42 | polys.TimePREM_LinearDenseQuadraticGCD.time_op(3, 'dense') |
| - | 1.72±0.01ms | 508±2μs | 0.3 | polys.TimePREM_LinearDenseQuadraticGCD.time_op(3, 'sparse') |
| - | 5.97±0.1ms | 1.85±0.02ms | 0.31 | polys.TimePREM_LinearDenseQuadraticGCD.time_op(5, 'dense') |
| - | 8.46±0.05ms | 1.51±0.01ms | 0.18 | polys.TimePREM_LinearDenseQuadraticGCD.time_op(5, 'sparse') |
| - | 285±1μs | 65.3±0.5μs | 0.23 | polys.TimePREM_QuadraticNonMonicGCD.time_op(1, 'sparse') |
| - | 3.41±0.04ms | 392±4μs | 0.11 | polys.TimePREM_QuadraticNonMonicGCD.time_op(3, 'dense') |
| - | 3.97±0.04ms | 282±1μs | 0.07 | polys.TimePREM_QuadraticNonMonicGCD.time_op(3, 'sparse') |
| - | 7.03±0.06ms | 1.29±0.01ms | 0.18 | polys.TimePREM_QuadraticNonMonicGCD.time_op(5, 'dense') |
| - | 8.77±0.1ms | 847±2μs | 0.1 | polys.TimePREM_QuadraticNonMonicGCD.time_op(5, 'sparse') |
| - | 5.02±0.01ms | 3.01±0.01ms | 0.6 | polys.TimeSUBRESULTANTS_LinearDenseQuadraticGCD.time_op(2, 'sparse') |
| - | 12.0±0.07ms | 6.58±0.04ms | 0.55 | polys.TimeSUBRESULTANTS_LinearDenseQuadraticGCD.time_op(3, 'dense') |
| - | 22.6±0.1ms | 9.10±0.04ms | 0.4 | polys.TimeSUBRESULTANTS_LinearDenseQuadraticGCD.time_op(3, 'sparse') |
| - | 5.26±0.01ms | 886±10μs | 0.17 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(1, 'sparse') |
| - | 12.6±0.09ms | 7.01±0.05ms | 0.56 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(2, 'sparse') |
| - | 103±0.7ms | 25.8±0.2ms | 0.25 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(3, 'dense') |
| - | 168±0.7ms | 54.3±0.3ms | 0.32 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(3, 'sparse') |
| - | 171±0.3μs | 113±1μs | 0.66 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(1, 'dense') |
| - | 362±3μs | 217±0.9μs | 0.6 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(1, 'sparse') |
| - | 4.34±0.05ms | 843±7μs | 0.19 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(3, 'dense') |
| - | 5.23±0.03ms | 385±4μs | 0.07 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(3, 'sparse') |
| - | 20.6±0.2ms | 2.80±0.01ms | 0.14 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(5, 'dense') |
| - | 22.8±0.1ms | 635±1μs | 0.03 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(5, 'sparse') |
| - | 479±3μs | 137±2μs | 0.29 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(1, 'sparse') |
| - | 4.70±0.03ms | 616±4μs | 0.13 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(3, 'dense') |
| - | 5.27±0.03ms | 141±1μs | 0.03 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(3, 'sparse') |
| - | 13.1±0.1ms | 1.31±0ms | 0.1 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(5, 'dense') |
| - | 14.1±0.06ms | 141±2μs | 0.01 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(5, 'sparse') |
| - | 136±0.3μs | 76.9±0.6μs | 0.56 | solve.TimeMatrixOperations.time_rref(3, 0) |
| - | 260±0.8μs | 89.2±0.7μs | 0.34 | solve.TimeMatrixOperations.time_rref(4, 0) |
| - | 24.5±0.3ms | 10.4±0.1ms | 0.42 | solve.TimeSolveLinSys189x49.time_solve_lin_sys |
| - | 29.1±0.09ms | 15.6±0.1ms | 0.54 | solve.TimeSparseSystem.time_linsolve_Aaug(20) |
| - | 55.7±0.3ms | 25.1±0.1ms | 0.45 | solve.TimeSparseSystem.time_linsolve_Aaug(30) |
| - | 28.9±0.3ms | 15.5±0.1ms | 0.54 | solve.TimeSparseSystem.time_linsolve_Ab(20) |
| - | 55.4±0.3ms | 25.2±0.2ms | 0.45 | solve.TimeSparseSystem.time_linsolve_Ab(30) |
Full benchmark results can be found as artifacts in GitHub Actions (click on checks at the top of the PR).
References to other Issues or PRs
Brief description of what is fixed or changed
sorted(x)[0]
withmin
. Doing so is both reduces peak memory and reduces the complexity of the call from O(log(n)n) to O(n).Other comments
Release Notes
NO ENTRY