Result for 17721FBBE5243F49D94E87E1B24AA8A3E4E899B0

Query result

Key Value
CRC3255289224
FileName./usr/lib/python2.7/dist-packages/numexpr/necompiler.py
FileSize25700
MD54E1DCED10755AC55A125A7976D7D3F98
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Server', 'Language': 'Multilanguage', 'MfgCode': '924', 'OpSystemCode': '599', 'ProductCode': '183706', 'ProductName': 'SUSE OpenStack Cloud x86_64 - 1 of 3', 'ProductVersion': '7'}
SHA-117721FBBE5243F49D94E87E1B24AA8A3E4E899B0
SHA-256B3A6E271EFE214C182723B0B853EE987F2E4A1751C11ACA6B346C17D7328401A
SSDEEP768:in/KxnTOwtAwE7vrFFIvoHgh8wX9CEQb3jShx2D:in/KxnTOwtq7oYE8MQb3er2D
SpecialCode
TLSHT10AB2821BED0125259B53C9B928879402636E7C272D0524B87EEC92AC2F51B2DD3F5BFC
dbnsrl_modern_rds
insert-timestamp1646986952.2773557
sourceNSRL
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize116504
MD5125A654142414027CFAD790FC009579A
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
PackageVersion2.4.3-1ubuntu1
SHA-15A4C253A1AE28338A83F469E7191E45B926BCF48
SHA-2569BE01B5557EC13769882F5E9C3E8597EE665D53FA105C735E998228B3558F14D
Key Value
FileSize128680
MD56EF0D9AE8126A137B2AAEB3ECEAE3BBA
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
PackageVersion2.4.3-1ubuntu1
SHA-1C9BCA720C83E0CE45182C209D8E2C0FD82BEDD7D
SHA-256A2E58B04D42EB47F6C1931F41D4481510A2327FE78D410EBE13524526B997686
Key Value
MD50720C4B2D40F0C1616A14F92916B7AAA
PackageArchx86_64
PackageDescriptionNumexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python.
PackageNamepython-numexpr
PackageRelease1.15
PackageVersion2.4.6
SHA-1F21EB48AE4C28CE88C7DCC978599C2D296A151F5
SHA-256BC103E41F3DC8E67A16BC0DEDB1FA84948E47B0AE13253062935001776C45F2F