SciPy 1.2.3 版本發行說明#

SciPy 1.2.3 是一個錯誤修正版本,相較於 1.2.2 沒有新增功能。它是 Python 2.7 長期支援 (LTS) 版本系列的一部分。

作者#

  • Geordie McBain

  • Matt Haberland

  • David Hagen

  • Tyler Reddy

  • Pauli Virtanen

  • Eric Larson

  • Yu Feng

  • ananyashreyjain

  • Nikolay Mayorov

  • Evgeni Burovski

  • Warren Weckesser

1.2.3 版本已關閉的問題#

  • #4915: scipy.signal.signaltools.py 中 unique_roots 對於相同大小根的錯誤

  • #5546: 如果 scipy.sparse.linalg.expm 接收到大於 200x200 的陣列,則會引發 ValueError

  • #7117: 當使用 float32 輸入數據到 curve_fit 及其友函數時,警告使用者

  • #7906: scipy.interpolate.UnivariateSpline.integral 對於超出範圍的錯誤結果

  • #9581: 當 x 和 y 數據類型不同時,最小平方最小化靜默失敗

  • #9901: 從 solve_ivp 呼叫時,lsoda 無法偵測到 stiff problem

  • #9988: doc build 在 Sphinx 2.0.0 上損壞

  • #10303: BUG: optimize: linprog failing TestLinprogSimplexBland::test_unbounded_below_no_presolve_corrected

  • #10376: TST: Travis CI 失敗 (使用 pytest 5.0 ?)

  • #10384: CircleCI doc build 在新警告上失敗

  • #10535: TST: master branch CI 失敗

  • #11121: 呼叫 scipy.interpolate.splprep 會增加 RAM 使用量。

  • #11198: BUG: sparse eigs (arpack) shift-invert 針對某些 k 丟失最小特徵值

  • #11266: Sparse matrix constructor data type detection changes on Numpy 1.18.0

1.2.3 版本的 Pull Requests#

  • #9992: MAINT: Undo Sphinx pin

  • #10071: DOC: reconstruct SuperLU permutation matrices avoiding SparseEfficiencyWarning

  • #10076: BUG: optimize: fix curve_fit for mixed float32/float64 input

  • #10138: BUG: special: Invalid arguments to ellip_harm can crash Python.

  • #10306: BUG: optimize: Fix for 10303

  • #10309: BUG: Pass jac=None directly to lsoda

  • #10377: TST, MAINT: adjustments for pytest 5.0

  • #10379: BUG: sparse: set writeability to be forward-compatible with numpy>=1.17

  • #10426: MAINT: Fix doc build bugs

  • #10540: MAINT: Fix Travis and Circle

  • #10633: BUG: interpolate: integral(a, b) should be zero when both limits are outside of the interpolation range

  • #10833: BUG: Fix subspace_angles for complex values

  • #10882: BUG: sparse/arpack: fix incorrect code for complex hermitian M

  • #10906: BUG: sparse/linalg: fix expm for np.matrix inputs

  • #10961: BUG: Fix signal.unique_roots

  • #11126: BUG: interpolate/fitpack: fix memory leak in splprep

  • #11199: BUG: sparse.linalg: mistake in unsymm. real shift-invert ARPACK eigenvalue selection

  • #11269: Fix: Sparse matrix constructor data type detection changes on Numpy 1.18.0