Result for 16FFD1B44E97D3CFB770B9245556C9EA70CCCEF1

Search result
Graph view
Parent (51)

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/tables/index.py
FileSize91474
MD54E18B511A03D208D688552B165E84690
SHA-116FFD1B44E97D3CFB770B9245556C9EA70CCCEF1
SHA-256DA403346BD73D6042DAD044E19AC7812F7B722C11D0E563E89C121DE28FEF364
SSDEEP1536:ZyUpyr7gOjr7gJqxSH1TMZOM0OH0NFoX4Bo3msiCDd5wG7zE5WxoJzOYguMond0c:Zy7ZORW4z3hTx39nUPhljUzaUHafSRai
TLSHT14993A427B411296DB603847789CBB503631719374A991A7A38BD80481F15E3A93FFFFA
tar:gnameroot
tar:unameroot
hashlookup:parent-total51
hashlookup:trust100

Network graph view

Parents (Total: 51)

The searched file hash is included in 51 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
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
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//arm//py3-tables-3.6.1p1.tgz
MD5317F68D0893DC64F929CE83CF9181B13
SHA-1299A3676E44FE4E3610C4664CDA131732AABE109
SHA-25668620EC3026CF5FFDF574DA4BD80BDF22D04A4D9FF88B701482B0409C4B4CBBE
SSDEEP49152:b6PCN0nX/d3v8DmlNR+7/j4j+xbHkSTpaFa:b6qGZkAI7/jpx19aFa
TLSHT12F95336C69795492C8F49371B310033D6C1CE201E242FAAA2D36DEF5C6AC179E7B36E5





metalookup is a service from miwakeru.com