Result for 4384E809BF4BAEC8196193CB8970EB4E98DFDF32

Query result

Key Value
CRC32B283941C
FileName__init__.cpython-36.pyc
FileSize138
MD5C4DCB806D74D797BE7207C181DB567D1
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Operating System', 'Language': 'English', 'MfgCode': '1722', 'OpSystemCode': '599', 'ProductCode': '163709', 'ProductName': 'BlackArch Linux', 'ProductVersion': '2017.03.01'}
SHA-14384E809BF4BAEC8196193CB8970EB4E98DFDF32
SHA-256822C4C6DE70FD70B43631F0AD730A2B410620FC993F1125230A3F05421C4D5F3
SSDEEP3:kX8l+leh/wZWeJ9YOKltVWrzHmocRkcTitn:kX0aeh/w19YlMrLBcD6
SpecialCode
TLSHT1DDC09B4596574293E52EFD726116071550C5DD71559795637D08D5492C053904C61401
dbnsrl_modern_rds
insert-timestamp1647003579.593547
sourceNSRL
hashlookup:parent-total6
hashlookup:trust80

Network graph view

Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5D92E74C1D0B1AFA69F05DC18DE124699
PackageArchnoarch
PackageDescriptionWhen reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-smmap
PackageReleaselp150.1.3
PackageVersion0.9.0
SHA-12FE94EC6B7983DF8177E6D1D287FFF6DFE53423C
SHA-256533A2902EC9182FE8CC8886C4398953355CFE4772AE131222B79DD9657BFB5F6
Key Value
MD51C1574ACB6E824E3752F6A8A949014AD
PackageArchnoarch
PackageDescriptionWhen reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-smmap
PackageReleaselp151.2.2
PackageVersion0.9.0
SHA-1B772D89F62782C54DB19D290696C28FBD40FDCB5
SHA-256FBBCCD705FB10F129B2B62483681FA3BC203E6C34AD6A4A6FDF91F3F6C0248E0
Key Value
MD522355811EBE41BDBF6B16C3C54D2B71B
PackageArchnoarch
PackageDescriptionWhen reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageNamepython3-smmap
PackageReleaselp150.4.2
PackageVersion0.9.0
SHA-18BACEABC1CDCBF34BCD3C58542A0E50E53590293
SHA-2563485DEB53BDD81BFBA9D02111EF9BFFAD60DF953C686A6A63C5338EF25ABA53A
Key Value
MD560AF8D00D8069E2BE4385C5F18F64B97
PackageArchnoarch
PackageDescriptionWhen reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageNamepython3-smmap
PackageReleaselp150.1.2
PackageVersion0.9.0
SHA-1F352A949C7890882A8ED23B0DCB0D80D7B413B75
SHA-256940F9275B0A9D1938E0B205B2B24BCD0298D903B2848F25DDF879BF960D343E7
Key Value
MD5DB08ECA0894EFAD35C77F8ACF9540445
PackageArchnoarch
PackageDescriptionWhen reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageNamepython3-smmap
PackageReleaselp151.1.2
PackageVersion0.9.0
SHA-12AD66C806B05DE3B4460BA6B087FF5540EE51D39
SHA-256D619D398AF75AB10508A3295F06132870DD15B9E1E8AC4D21D0377218182D3A0
Key Value
MD5A80CB78FD73815C0AE769983C65FA2B8
PackageArchnoarch
PackageDescriptionWhen reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageNamepython3-smmap
PackageReleaselp150.2.1
PackageVersion0.9.0
SHA-103ABA5D27550321D992A1D79F3F56AF58F46F3FD
SHA-256BC3E2DAF8752827E5D4D65C5644EFDC0B573151D5893A91F98AB6193E0DC410C