Result for 8CE8855CB03651E0131CB94F9ABBB9254A8D3D43

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.10/site-packages/chroma_hnswlib-0.7.3.dist-info/top_level.txt
FileSize8
MD5E48DCFDCA3F4BA81AC1A34816A47AF96
SHA-18CE8855CB03651E0131CB94F9ABBB9254A8D3D43
SHA-256AC546A036DF95D4E8F136E2A7AC64B78DDD7B18ECCD255E0E103B8DF25BFAB5A
SHA-51222CF844105A752DCFCE1F36986621C807D521D731C70B3C37D9DFB23F6731B0F575CAE5CBEDF8174A40233C3782FB81A1737B5F8E0025D3E623AEE56C235C592
SSDEEP3:x4:x4
TLSH
insert-timestamp1727080811.4595873
mimetypetext/plain
sourcesnap:VAy5KksVXb1oLJBW5TUvp7ZAyz0TPP3G_6
hashlookup:parent-total31
hashlookup:trust100

Network graph view

Parents (Total: 31)

The searched file hash is included in 31 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize120448
MD5C4539FC43635618DD38173FBAD1952A5
PackageDescriptionPython bindings for hnswlib: fast approximate nearest neighbor search A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast. . This package provides a module for Python3 to the C implementation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython3-hnswlib
PackageSectionpython
PackageVersion0.5.2-1+b1
SHA-106C55FF82BBCADA144E7C48921F2D9749722C4FD
SHA-256747ED45437AF2100348FDCC68444060F613D67E2C6D6C9B5927CB4B4C199E5C2
Key Value
FileSize129240
MD5545A553957A9A9BA693DCFFCCA88AE65
PackageDescriptionPython bindings for hnswlib: fast approximate nearest neighbor search A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast. . This package provides a module for Python3 to the C implementation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython3-hnswlib
PackageSectionpython
PackageVersion0.5.2-1+b1
SHA-115A702FDFFABA10694698E483EA78D80FA24D034
SHA-256A98C66EAE975D22EA60F84DCCD7D664634D5A796944BF18E0B1B85830EAA47D3
Key Value
FileSize103716
MD5165AFC91703308E4C6E748FAF5FAAD7F
PackageDescriptionPython bindings for hnswlib: fast approximate nearest neighbor search A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast. . This package provides a module for Python3 to the C implementation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython3-hnswlib
PackageSectionpython
PackageVersion0.5.2-1
SHA-11A4A2853CA2598A4ACE6F62630E47F5C2DE2364F
SHA-256646580E4143BC3519FB3105B28F243E332A18FA9B3D0194968C4DB8928C37609
Key Value
FileSize147328
MD5CE3ED7FA86778E9AE7D3BD10E1257F9D
PackageDescriptionPython bindings for hnswlib: fast approximate nearest neighbor search A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast. . This package provides a module for Python3 to the C implementation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython3-hnswlib
PackageSectionpython
PackageVersion0.5.2-1+b1
SHA-12675F4FA1D407AB64FB889B39AAE1A21BF77E184
SHA-25627AF1793B3F41E09A3D813CD6D8A4B9F05762B1378C5187917A56CF24F7144AE
Key Value
FileSize90456
MD58ACA2091B87F40277E327AB915A58B98
PackageDescriptionPython bindings for hnswlib: fast approximate nearest neighbor search A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast. . This package provides a module for Python3 to the C implementation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython3-hnswlib
PackageSectionpython
PackageVersion0.4.0-3+b1
SHA-12FB2A8C69E1E6F31DFF74806CACBE233BCF98812
SHA-25674289645CB979523F251261AFAD090AB0898FE3B4A9DE101A1A9DEC2BB632A87
Key Value
FileSize123496
MD517BEC9F524332F710CF9D38FB44B6FB5
PackageDescriptionPython bindings for hnswlib: fast approximate nearest neighbor search A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast. . This package provides a module for Python3 to the C implementation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython3-hnswlib
PackageSectionpython
PackageVersion0.5.2-1
SHA-131F373C92F4903227D4748DEFF37EACF05D0CE61
SHA-256C972E5BDEA1C3875EA9AB7903C5567CF2115FA67FA388A8244F4CD39BEE97DD7
Key Value
FileSize99016
MD5BB01E00E4BE495AD77A23E1C9834F076
PackageDescriptionPython bindings for hnswlib: fast approximate nearest neighbor search A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast. . This package provides a module for Python3 to the C implementation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-hnswlib
PackageSectionpython
PackageVersion0.4.0-3build1
SHA-1343E06F717088E77EACFD18CCAC5150188D6B1DF
SHA-256C1EC79621BCB20CAC171F6EB7A078CFAD0F53BCE041E74FBE4B7B43D9D87F97F
Key Value
SHA-14289E2F230E8B5CBC7C463B7375AC592A9E862A8
snap-authoritycanonical
snap-filenamec0Brljab75R0J5x0Gq5IdzPcD69IPzCF_238.snap
snap-idc0Brljab75R0J5x0Gq5IdzPcD69IPzCF_238
snap-namepygpt
snap-publisher-idhEvCRFV0gJLD7c1lMi8KT0RIib5EgsJ1
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2023-04-13T16:34:09.762340Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/c0Brljab75R0J5x0Gq5IdzPcD69IPzCF_238.snap
Key Value
FileSize145140
MD5C637F8156238477829F00942F2DE4A81
PackageDescriptionPython bindings for hnswlib: fast approximate nearest neighbor search A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast. . This package provides a module for Python3 to the C implementation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython3-hnswlib
PackageSectionpython
PackageVersion0.5.2-1+b1
SHA-14DCB22B2DD8FA89E7D5DB5FAC4D38DEA35EFE285
SHA-256C423B8DB24F6F420B83AC1405AA8010D1D35C6F6D1753184DF7C92515E517C96
Key Value
SHA-150CE90C01CEDCD32D36CF5AAC9EFF7DAC3C0541C
snap-authoritycanonical
snap-filenameg4L9G8u0ic4JHAwMiIsFcXHe8ELkUtPi_7.snap
snap-idg4L9G8u0ic4JHAwMiIsFcXHe8ELkUtPi_7
snap-nameopen-webui
snap-publisher-id1eCwUuuFG3UmI2UPSOInPwcbWL0NaXjG
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2024-02-19T21:08:42.863295Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/g4L9G8u0ic4JHAwMiIsFcXHe8ELkUtPi_7.snap