Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	11045564
MD5	AFC5199BD1760D46BB16DE3FE08AE68A
PackageDescription	web mining module for Python Pattern is a web mining module for the Python programming language. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and <canvas> visualization. . The module is free, well-document and bundled with 50+ examples and 350+ unit tests.
PackageMaintainer	Miriam Ruiz <miriam@debian.org>
PackageName	python-pattern
PackageSection	python
PackageVersion	2.6+git20150109-2
SHA-1	C9F356A98B46F1D5FEABDDE7416960D83B138FBE
SHA-256	598E15380463FDD5BE12980F1FF13B63E2CCD5DB0780B38BB5146B21B2ED7D2E

Key	Value
FileSize	121316
MD5	44481ECF513D8AE246971A0172AD6B07
PackageDescription	PDF parser and analyser PDFMiner is a tool for extracting information from PDF documents, which focuses entirely on getting and analyzing text data. It allows one to obtain the exact location of text portions in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes than text analysis. . This package provides the Python module and the command-line tools: pdf2txt and dumppdf.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-pdfminer
PackageSection	python
PackageVersion	20110515+dfsg-1
SHA-1	6A1D23F57E244997D70848BF017BDD2EB2E11A9D
SHA-256	BB45ED8D47B51C8C17E72118287E21924FEFC5759A7BFAE8CDEE08D93B75E45A

Key	Value
FileSize	118240
MD5	A39032092FEBFC7257702BC467F6855C
PackageDescription	PDF parser and analyser PDFMiner is a tool for extracting information from PDF documents, which focuses entirely on getting and analyzing text data. It allows one to obtain the exact location of text portions in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes than text analysis. . This package provides the Python module and the command-line tools: pdf2txt and dumppdf.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pdfminer
PackageSection	python
PackageVersion	20110515+dfsg-1
SHA-1	033297DF56A7DC412DB89998B3115E0807B0333D
SHA-256	5D8DDAFB24CA0EB0100B4B2FAFCB0560BFC215DD6FA0455D5886D1570161A40A

Key	Value
FileSize	11024362
MD5	0E78830B78DEED7A1D3C905B3837C3DB
PackageDescription	web mining module for Python Pattern is a web mining module for the Python programming language. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and <canvas> visualization. . The module is free, well-document and bundled with 50+ examples and 350+ unit tests.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pattern
PackageSection	python
PackageVersion	2.6+git20150109-2
SHA-1	9ED5F812757590BFD2C6DFA69205FAF18BB7E228
SHA-256	45897A71FCA54627EAE167C79199DEB17B010D0AE9B0A706A4BD3C0626E976F6

Key	Value
FileName	http://mirror.math.princeton.edu/pub/blackarch/blackarch/os//x86_64//metagoofil-12.823b114-1-any.pkg.tar.zst
MD5	59CE89B54D8B4C10132600D5A803F7E6
SHA-1	CFCFC7C5D97B1CCF23D0DA7E50B452375F623FD2
SHA-256	F006AB64C6585A630C6C34CD0144FED4CCFE3614986B95C0BD8903340CA6D070
SSDEEP	12288:SlEomm+mZ+oOOmGW+7la+OSq4syPqvvNxdYRyppv0XadacVU:WExKZbbct4V00sHvCadaL
TLSH	T1F3B4232DCCF86DCD39B145AAF4B8DA77CDF698C1B07EF42124A45E92E78E7604913A10

Key	Value
FileSize	11048492
MD5	2E7CC5131C7A3B61C4BF89314E770C40
PackageDescription	web mining module for Python Pattern is a web mining module for the Python programming language. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and <canvas> visualization. . The module is free, well-document and bundled with 50+ examples and 350+ unit tests.
PackageMaintainer	Miriam Ruiz <miriam@debian.org>
PackageName	python-pattern
PackageSection	python
PackageVersion	2.6+git20150109-3
SHA-1	C816B39F1D0ECD1757CFC70ECFD775EA406F88EA
SHA-256	1F9E403505D161252C30CB28133ED126EFC8C041DE20C66A32EB65040E9E4556

Key	Value
MD5	EEB27143B4788AFFF9DACCAA76BF1542
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	pdfminer
PackageRelease	2.2
PackageVersion	20111107
SHA-1	1368340477983BA0FA49B21E06C0A13C92196998
SHA-256	7AB3F92F61DC085281A458C5E43C8D644364EF27ADCF7EF01C1A0566DBD9C726