Parents (Total: 36)

The searched file hash is included in 36 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.9/packages//powerpc64//py3-tables-3.6.1p2.tgz
MD5	816A87916A51792B2355C9514261DEF5
SHA-1	066CD20F360022E36C3CB0F00C9B426EA3AC6571
SHA-256	D43601B7B6E158F2B5DF760C7D8B04486A47B3033F47D7D02B507739E7E4919D
SSDEEP	49152:ZU6PA8H4Ejg4GaPpdR5ftZFSyBgxbHDETpaQLih6:ZU6I8R71PPR5VZFSfx3E9aQLK6
TLSH	T1298533DC8A34B805C2E4F073B726A36D981A7D4497D4E9900F6884DBC1F598963FB9E3

Key	Value
FileSize	333056
MD5	2B2226589988FD60B5B2E686C067086F
PackageDescription	hierarchical 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-tables
PackageSection	python
PackageVersion	3.6.1-2build1
SHA-1	0D3518EA19BB9AD4BBCF1CD496729422749D08ED
SHA-256	046787334FDEFAD19E5D857A7501023981480C1449F8E780A2EED97AB017C7F2

Key	Value
MD5	151FF3A1C51A2A8B6A0227B3DFC74FA7
PackageArch	armv7hl
PackageDescription	PyTables 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).
PackageMaintainer	umeabot <umeabot>
PackageName	python3-tables
PackageRelease	4.mga9
PackageVersion	3.6.1
SHA-1	105B39AC32E6FFA617693034F3874940EC0995B3
SHA-256	9614726E99FF1946623377A8F087117D590807CDF24B0AF14BC77AD70A87C243

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//amd64//py3-tables-3.6.1p1.tgz
MD5	4F3FB39DDF62FF4A446ED7928300AEA6
SHA-1	2840CA9DB600BAF3BA6788B66921927153307EC2
SHA-256	E5C7C256BE64CF1A4A492479518550A3882B5A9A28186CDFE4106B5D4518ECFD
SSDEEP	49152:sSefTnVAWmG/vQPDKVCjxanixzc7r/oaJoO+EcgT8sliRWSxzJLf40xbHk3bBTpm:sxnVHN/UKkQnSo7rlqJgTwWYf40xa9a/
TLSH	T172E53390C9A248E880F0F972FFC34BE3EF136145A589F829460AD7DBF5FA548608F655

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//arm//py3-tables-3.6.1p1.tgz
MD5	317F68D0893DC64F929CE83CF9181B13
SHA-1	299A3676E44FE4E3610C4664CDA131732AABE109
SHA-256	68620EC3026CF5FFDF574DA4BD80BDF22D04A4D9FF88B701482B0409C4B4CBBE
SSDEEP	49152:b6PCN0nX/d3v8DmlNR+7/j4j+xbHkSTpaFa:b6qGZkAI7/jpx19aFa
TLSH	T12F95336C69795492C8F49371B310033D6C1CE201E242FAAA2D36DEF5C6AC179E7B36E5

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.7/packages//arm//py3-tables-3.6.1p0.tgz
MD5	FF57372C12747D4134F83716B541D106
SHA-1	2D627796773B111104DDB9904D5863DFA24DE67C
SHA-256	5D4EC13635AA4BB880289F801C7BB434D1CA7B1B68C42BB095F762A590340D5D
SSDEEP	49152:mWR/ZaX/bEa9p4Wk7YaQyTrHgEMbphM2Ps/tUPaZ9rFEDPg6:mOZavbgV8aQyTrAd9xPugaZD2b
TLSH	T17E9533ED306322A2D0AC54BC5C48B3F9242A11FD1682391615E1D8EBCBE571BD6B79F3

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.7/packages//mips64//py3-tables-3.6.1p0.tgz
MD5	6746A0B0E020A4E00DE2688288522FF1
SHA-1	34F4CE19FA09575A2B2FF6B9369693A6075A09AB
SHA-256	3804710469DAB64FB6FEF0CAA66AED6F50B6E9BFE2536FCB676849AF34F3D80C
SSDEEP	49152:cvqWRAMq77JBJaflztqlkhPEMbphM2Ps/tUPaZ9rLa2X:cvqPMqzJadzfd9xPugaZZBX
TLSH	T1108533FF12E3D962CE9A207CA01771AC2C32E1EB981175B2C4F71558C188CB99FE65E5

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.9/packages//arm//py3-tables-3.6.1p2.tgz
MD5	CF5C77EBEB2A8FF607B5F4ED5564299B
SHA-1	373DE492431D732259C3E27C31E033ABAD44C652
SHA-256	8F96F1229890ACEEB4D96D7B38400E7A0FE6CDDCEFAD06BF6D2DCA33CB67AD80
SSDEEP	49152:BM0FNtx17xr5KY6+crJh9qxbH8bC8OCTpaKG4mM:G0Fvn7/KYJ+JqxQGW9aK15
TLSH	T1FC9533EDD965E464FCE431AA33220E852C43D520E1DBE493C21F556B90A9AA7CF3B4F4

Key	Value
FileSize	342296
MD5	2FCE94F4BB77C9C0546F1E82B6979272
PackageDescription	hierarchical 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.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-tables
PackageSection	python
PackageVersion	3.6.1-5
SHA-1	40E7996FE4B444345174A99EDD476D771194DD8A
SHA-256	2A5252E6DDBEE11192957E64E21EA156A0D6CDC2AE988F33330F4A25F8E3D0A9

Key	Value
FileSize	342180
MD5	146BEAE504C21365382A82BC07C371B6
PackageDescription	hierarchical 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.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-tables
PackageSection	python
PackageVersion	3.6.1-3
SHA-1	468337C9CC136E51DB0B1C40235FF489441D325D
SHA-256	C582F06BEC3317B014C40D407B45CD24CDB17C6247EE38C05AEE35DC23E8F674