Result for 049A6050C47DED1E2CFC0FC293668BDE1904BB86

Query result

Key Value
CRC3261CA8E9F
FileName__init__.pyc
FileSize403
MD586942EE5FE14E28C7F6CA05DFD3AB2BC
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'software collection', 'Language': 'English', 'MfgCode': '369', 'OpSystemCode': '51', 'ProductCode': '17075', 'ProductName': 'LXFDVD176', 'ProductVersion': 'November 2013'}
RDS:package_id17075
SHA-1049A6050C47DED1E2CFC0FC293668BDE1904BB86
SHA-256FFAFFA7A8BFFC3EEFA15FD71B1DF99E8E46AA58E12F4DA5DFF69C2877198B5A3
SSDEEP6:ptGglNylwJSNCTxgG+vUXSe/VaTOQsu/154FpzG8JABlhT6OxmDrBBrLGiRat71h:i7y1+vQ/VaTd4W8JABlhT6xZBrKigtKk
SpecialCode
TLSHT1CFE068C067BEABE3CA1A2635F001401B4E6CF8F367012E4126F8127D2EE61D7083F289
dbnsrl_legacy
insert-timestamp1648665613.8600266
sourceRDS_2022.03.1_legacy.db
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BE151B92F041AE9666E7AAE7B6C9F5DD
PackageArchppc64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerKoji
PackageNamenumpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-10FEF662C99066C4EF033CB375996823556402C41
SHA-256B77AC77374D29FC5E82947C936BC6EF8C5BB6423F1DBF6D71522346D2D43546C
Key Value
MD520C6C9EE909363BD04A7499F916F6509
PackageArchppc64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerKoji
PackageNamenumpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-16D6F6297306C5A13C287445082AA6082A1C58113
SHA-2567C5461ABE97CEE53F0B53D406993F85EC35594AFB53369BBDA03F8AF44304215
Key Value
MD588517D9771EB7124285720EBAFDFD1EB
PackageArchs390x
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamenumpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-1A9A58FBE5CF630A7B9C95863E1A332EB62541794
SHA-2562777527BE12A16C588814EADDB8F045CDBD6BA421C03874EFD07E63314ECFE15
Key Value
MD56A9BA4D87932D7406333A7FF56436A95
PackageArchs390x
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamenumpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-1533EA5A9FE5B4A87E839258FC8B11A956AACA268
SHA-2564E1619741A3018B33D6ACA5E4D732B421B39DCDA9C14D7865E698E171CA1362E