Result for 547BAEE964C45BA3CCF59272CF87EA00F908700A

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/numexpr/cpuinfo.py
FileSize25044
MD51F4A86E905931AE22F54212F1BE0AE5E
SHA-1547BAEE964C45BA3CCF59272CF87EA00F908700A
SHA-25692ABB20355898292006E7A2816B43BF0B6A140C2C27E176F69B9F8752833E258
SSDEEP384:70NVZfTDtSvXabvtKm+spMn6Ikr8qKq4q0abl:7UJDtSvXabvtDQqN
TLSHT189B2BCA67A43E0A2BB4BD56B9057DC43B31D3C53181CF62AB57CA8B56F20169D1F8CE0
tar:gnamebin
tar:unameroot
hashlookup:parent-total5
hashlookup:trust75

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Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize122592
MD5ED8E2420F80CDA506CE702A7503D74C0
PackageDescriptionFast numerical array expression evaluator for Python and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This is the Python 2 version of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numexpr
PackageSectionpython
PackageVersion2.6.4-1
SHA-15DA0D3796A9E55B7B587561FA0A97815CE42F6DE
SHA-256D9139EC173E2A83946E9C7EF1C79D882EAF8337D04E27F410824F64CADE3578A
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.2/packages//arm//py-numexpr-2.6.2p0.tgz
MD505FF8887C8EF8D7B9A640C1C700C7540
SHA-1A8CDB44142E9A1CAFA7D3EDFE12BCFD251042614
SHA-256D9A3B105350041CD2869E31C37A951B28FC013729D9C6D8611B4DEC3467EC0B1
SSDEEP6144:AR6NkE+sGk7vuHwlA8eduY0jbkOaHV98Fn:A3WGk7vuQWVh0kVyN
TLSHT171342258723559EC231C84773FA6247EFA9873199AC25A0CB9088054EFDD63DBDDCB82
Key Value
FileSize107476
MD5F7729AABE8EE56902805F0BA6C5784B7
PackageDescriptionFast numerical array expression evaluator for Python and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This is the Python 2 version of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numexpr
PackageSectionpython
PackageVersion2.6.4-1
SHA-149722B4FA1582683D9A8119089961C10E5B5E31B
SHA-256279431D8E6FCFC2710CD000E1FE01E91C4E084577CA1824E007A35D2B267A5CF
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.2/packages//amd64//py-numexpr-2.6.2p0.tgz
MD59B09E87D21D2A9D2C90D883D7D81E037
SHA-1DE0A27362736852E5FAC8EBC69ED8D8D544FCE0E
SHA-2561EFAC5A10D209C34463999EB83DB39C15404F04F9FF86CB310D566F3DD70221A
SSDEEP3072:oFXNZVyPcr0Q6/eseurma8tzK94WPSo9LdSWkTDfTIyXwGV/5irRWq:oFXvVr6oBFjWPdRcZV/5cRp
TLSHT189D31274C66EC9602BB9E4FB840CB9E3DE5A374605C0F2B4945A1DE1FEED1A930582D3
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.2/packages//hppa//py-numexpr-2.6.2p0.tgz
MD5C0F6EA2B9408A5CBBA9AA7D810D8B38F
SHA-1CE58B9110FF440F42CD443B7A6FAB220780FCED7
SHA-2564D201ECB442FCD20338B9141A1CBF387CA4E982878FA8E51E2BE02AD14EED63B
SSDEEP6144:uCVp/7rAigZcun8eWX2szqAlhM0/6w5k9J5iSVKNYM2f:ZVpDr2clXHzqAbMt9tKNYM2f
TLSHT11854236B5D21A608667C822851F35AF1FDED4E8561AD46C278EBB7BC5E11C8030FD32A