<div dir="ltr"><div><div><div>Hi All,<br><br></div>I'm please to annouce the release of NumPy 1.11.3. This is a one bug fix release to take care of a bug that could corrupt large files opened in append mode and then used as an argument to ndarray.tofile. Thanks to Pavel Potocek for the fix.<br><br></div>Cheers,<br><br></div>Chuck<br><br>-----BEGIN PGP SIGNED MESSAGE-----<br>Hash: SHA1<br><br>==========================<br>NumPy 1.11.3 Release Notes<br>==========================<br><br>Numpy 1.11.3 fixes a bug that leads to file corruption when very large files<br>opened in append mode are used in ``ndarray.tofile``. It supports Python<br>versions 2.6 - 2.7 and 3.2 - 3.5. Wheels for Linux, Windows, and OS X can be<br>found on PyPI.<br><br><br>Contributors to maintenance/1.11.3<br>==================================<br><br>A total of 2 people contributed to this release.  People with a "+" by their<br>names contributed a patch for the first time.<br><br>- - Charles Harris<br>- - Pavel Potocek +<br><br>Pull Requests Merged<br>====================<br><br>- - `#8341 <<a href="https://github.com/numpy/numpy/pull/8341">https://github.com/numpy/numpy/pull/8341</a>>`__: BUG: Fix ndarray.tofile large file corruption in append mode.<br>- - `#8346 <<a href="https://github.com/numpy/numpy/pull/8346">https://github.com/numpy/numpy/pull/8346</a>>`__: TST: Fix tests in PR #8341 for NumPy 1.11.x<br><br><br>Checksums<br>=========<br><br>MD5<br>~~~<br><br>f36503c6665701e1ca0fd2953b6419dd  numpy-1.11.3-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl<br>ada01f12b747c0669be00be843fde6dd  numpy-1.11.3-cp27-cp27m-manylinux1_i686.whl<br>e3f454dc204b90015e4d8991b12069fb  numpy-1.11.3-cp27-cp27m-manylinux1_x86_64.whl<br>cccfb3f765fa2eb4759590467a5f3fb1  numpy-1.11.3-cp27-cp27mu-manylinux1_i686.whl<br>479c0c8b50ab0ed4acca0a66887fe74c  numpy-1.11.3-cp27-cp27mu-manylinux1_x86_64.whl<br>110b93cc26ca556b075316bee81f8652  numpy-1.11.3-cp27-none-win32.whl<br>33bfb4c5f5608d3966a6600fa3d7623c  numpy-1.11.3-cp27-none-win_amd64.whl<br>81df8e91c06595572583cd67fcb7d68f  numpy-1.11.3-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl<br>194d8903cb3fd3b17af4093089b1a154  numpy-1.11.3-cp34-cp34m-manylinux1_i686.whl<br>837d9d7c911d4589172d19d0d8fb4eaf  numpy-1.11.3-cp34-cp34m-manylinux1_x86_64.whl<br>f6b24305ab3edba245106b49b97fd9d7  numpy-1.11.3-cp34-none-win32.whl<br>2f3fdd08d9ad43304d67c16182ff92de  numpy-1.11.3-cp34-none-win_amd64.whl<br>f90839ad86e3ccda9a409ce93ca1cccc  numpy-1.11.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl<br>3b2268154e405f895402cbd4cbcaad7a  numpy-1.11.3-cp35-cp35m-manylinux1_i686.whl<br>3d6754274af48c1c19154dd370ddb569  numpy-1.11.3-cp35-cp35m-manylinux1_x86_64.whl<br>f8b64f46cc0e9a3fc877f24efd5e3b7c  numpy-1.11.3-cp35-none-win32.whl<br>b1a53851dde805a233e6c4eafe116e82  numpy-1.11.3-cp35-none-win_amd64.whl<br>b8a9dec6901c046edaea706bad1448b1  numpy-1.11.3.tar.gz<br>aa70cd5bba81b78382694d654ed10036  numpy-1.11.3.zip<br><br>SHA256<br>~~~~~~<br><br>5941d3dbd0afed1ecd3746c0371b2a8b79977d084004cc320c2a4cf9d88589d8  numpy-1.11.3-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl<br>ca37b5bebcc4ebde39dfbff0bda69fdc28785a8ff21155fd7adacf473c7b40dd  numpy-1.11.3-cp27-cp27m-manylinux1_i686.whl<br>276cbb35b69eb2f0d5f264b7c71bdc1f4e91ecd3125d32cd1839873268239892  numpy-1.11.3-cp27-cp27m-manylinux1_x86_64.whl<br>1226e259d796207e8ef36762dce139e7da1cc0bb78f5d54e739252acd07834e5  numpy-1.11.3-cp27-cp27mu-manylinux1_i686.whl<br>674d0c1318890357f27ce3a8939e643eaf55140cfb8e84730aeee1dd769b0c21  numpy-1.11.3-cp27-cp27mu-manylinux1_x86_64.whl<br>f8b30c76e0f805da7ea641f52c3f6bade55d50a0767f9c89c50e4c42b2a1b34c  numpy-1.11.3-cp27-none-win32.whl<br>8cd184b0341e1db3a5619c85f875ce511ef0eb7ec01ec320116959a3de77f1b8  numpy-1.11.3-cp27-none-win_amd64.whl<br>f0824beb03aff58d4062508b1dd4f737f08f5d2369f25a73c2350fe081beab2c  numpy-1.11.3-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl<br>9e4228ac322743dea101a90305ee6d54b4bf82f15d6499e55d1d9cef17bccdbb  numpy-1.11.3-cp34-cp34m-manylinux1_i686.whl<br>195604fc19a9333f3342fcad93094b6a21bc6e6b28d7bfec14d120cb4391a032  numpy-1.11.3-cp34-cp34m-manylinux1_x86_64.whl<br>71a6aa8b8c9f666b541208d38b30c84df1666e4cc02fb33b59086aaea10affad  numpy-1.11.3-cp34-none-win32.whl<br>135586ce1966dbecd9494ba30cb9beca93fad323ef9264c21efc2a0b59e449d2  numpy-1.11.3-cp34-none-win_amd64.whl<br>cca8af884cbf220656ca2f8f9120a634e5cfb5fdcb0a21fd83ec279cc4f46654  numpy-1.11.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl<br>ab810c942ead3f5988a7bef95dc6e85b586b6e814b83d571dfbca879e245bd45  numpy-1.11.3-cp35-cp35m-manylinux1_i686.whl<br>7c6eb737dc3d53977c558d57625dfbecd9900a5807ff17e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