Result for 12E15DDB35C80C81E5F45BA3CACFDCA1BA6B72AF

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/tables/parameters.py
FileSize15020
MD5624FB7B2F8146450ADB3049B7846A147
SHA-112E15DDB35C80C81E5F45BA3CACFDCA1BA6B72AF
SHA-256B6A1600E1BC1ED54542BF5495BBFBF932FD695F4A9A1D3681345459017422631
SHA-51277DDF6FDF80019A90C5CEC329600A8A5E5A820DE82DE4EB59D74AF6CE1398E4DB37ACCE29DDB61DAAC1FCB5BA58E1B70C14EF50A5FE48BE8E70CD3AE23FC4D5B
SSDEEP384:2z8HuQPNmyjZt33YSj6FzIJKaK4X7vpcS78Gch:Y6umjD89IKanXbplIGI
TLSHT10362C4173F8862328320D1457A8FA1D5E77461BE1B6786B1386CC15C730AAB852FFDE8
insert-timestamp1727098276.7278123
mimetypetext/plain
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
tar:gnameroot
tar:unameroot
hashlookup:parent-total65
hashlookup:trust100

Network graph view

Parents (Total: 65)

The searched file hash is included in 65 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.9/packages//powerpc64//py3-tables-3.6.1p2.tgz
MD5816A87916A51792B2355C9514261DEF5
SHA-1066CD20F360022E36C3CB0F00C9B426EA3AC6571
SHA-256D43601B7B6E158F2B5DF760C7D8B04486A47B3033F47D7D02B507739E7E4919D
SSDEEP49152:ZU6PA8H4Ejg4GaPpdR5ftZFSyBgxbHDETpaQLih6:ZU6I8R71PPR5VZFSfx3E9aQLK6
TLSHT1298533DC8A34B805C2E4F073B726A36D981A7D4497D4E9900F6884DBC1F598963FB9E3
Key Value
MD565EF0AD20D1A80EF5704F7307657FE62
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-tables
PackageReleasebp154.1.52
PackageVersion3.6.1
SHA-1069A6DFDCEE9846387F273D6CBB7B1F174298EB8
SHA-2562CDC8333BD5146BDDF60897406C8D9D622C2B4C5F7DE74BF1EB61EC919F4CD79
Key Value
FileSize333056
MD52B2226589988FD60B5B2E686C067086F
PackageDescriptionhierarchical database for Python3 based on HDF5 PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. . It is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively save and retrieve very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that they take much less space (between a factor 3 to 5, and more if the data is compressible) than other solutions, like for example, relational or object oriented databases. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy objects. . This is the Python 3 version of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-tables
PackageSectionpython
PackageVersion3.6.1-2build1
SHA-10D3518EA19BB9AD4BBCF1CD496729422749D08ED
SHA-256046787334FDEFAD19E5D857A7501023981480C1449F8E780A2EED97AB017C7F2
Key Value
MD5151FF3A1C51A2A8B6A0227B3DFC74FA7
PackageArcharmv7hl
PackageDescriptionPyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainerumeabot <umeabot>
PackageNamepython3-tables
PackageRelease4.mga9
PackageVersion3.6.1
SHA-1105B39AC32E6FFA617693034F3874940EC0995B3
SHA-2569614726E99FF1946623377A8F087117D590807CDF24B0AF14BC77AD70A87C243
Key Value
MD5F6B1856C145C80B850337BB7CC5C3CA0
PackageArchs390x
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data.
PackageMaintainerFedora Project
PackageNamepython3-tables
PackageRelease6.el8
PackageVersion3.5.2
SHA-1108B2B8D8CF9B770A4FA7E7A91608B926B13CE1F
SHA-256DEE9FE3D90FD8846931B2CC83D10234F12BFD035993D03F121DCCC865B4D5564
Key Value
MD5A2C0B5EA403C08E3552C9198D0DEA7E5
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-tables
PackageReleasebp155.2.14
PackageVersion3.6.1
SHA-11B7A3701F36F851FA782CE206CF0B09E88D2321B
SHA-256C3EE6E9773E08865348C08C8C691D12B4A8976A774AED4A52A24C25EB1F90D4A
Key Value
MD5C13F89F6E7C12420F748BA7FA4FF4F44
PackageArchi586
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython39-tables
PackageRelease4.6
PackageVersion3.6.1
SHA-11C432407383388B01A608EF7AC728923135BC67A
SHA-256369BB09E90E5C48D841A2B584D0A465EF230C60710764A2D44035A84EB5C00C0
Key Value
MD5DCE169064DFCEF475256C218DAA011E1
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageNamepython3-tables
PackageReleaselp152.4.1
PackageVersion3.6.1
SHA-11DDCC3E381706C8F3EA219F1A8D4F508DF1DC16C
SHA-256722916625C88F8A2C6289AF3702216015C20FE693987085DB379B873B339C8FB
Key Value
MD554C154234EA03E26426E3D2126147111
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-tables
PackageReleasebp156.3.9
PackageVersion3.6.1
SHA-1241AE205804CBC23679C674134ED3CACC362B247
SHA-256CA52A1948D692649F50B0E4A4716A6F9A68EEEF03B1BEEB633518BBA535462AF
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//amd64//py3-tables-3.6.1p1.tgz
MD54F3FB39DDF62FF4A446ED7928300AEA6
SHA-12840CA9DB600BAF3BA6788B66921927153307EC2
SHA-256E5C7C256BE64CF1A4A492479518550A3882B5A9A28186CDFE4106B5D4518ECFD
SSDEEP49152:sSefTnVAWmG/vQPDKVCjxanixzc7r/oaJoO+EcgT8sliRWSxzJLf40xbHk3bBTpm:sxnVHN/UKkQnSo7rlqJgTwWYf40xa9a/
TLSHT172E53390C9A248E880F0F972FFC34BE3EF136145A589F829460AD7DBF5FA548608F655