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
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.7/packages//arm//py3-pdfminer-20191125.tgz
MD5	E4C6E45238968B0872AAA8A2D7D39A20
SHA-1	126D8D8856FBAB85202619D037BCF0D961E19881
SHA-256	08190D0904E9528410778DEFD347E3A2FE95816B70FF0678E830D4B7385F2764
SSDEEP	98304:nxxZzubqpGxIO9n+9GLfEuC6XKOPgGp/i10DtEPakpdILSJWso086rO7zXenrMQx:nxxZzaqDwn+MLP0Oe0DaPakpdILSJWPu
TLSH	T10F5633A049D08CFEC67A8D42AB68E66C73D6F3BE40C796991A409A705F144D43B13EDF

Key	Value
MD5	5974DAD1489CC23FE1EBB48826E59738
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	python3-pdfminer
PackageRelease	lp153.3.1
PackageVersion	20191125
SHA-1	12ACCCC98254270C5E94EDB63E17CF45384D0D85
SHA-256	27294B7205E1DE1DA6C48E51FFF11CA3FB8A76680A681340A0B045FA3AE69310

Key	Value
MD5	F98A1E9A5901FF35E1A36D0E196EBC7F
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	python38-pdfminer
PackageRelease	3.34
PackageVersion	20191125
SHA-1	3CEB64202B36B0DCA35DEE8EDF293F0D2974C40F
SHA-256	EDBEEFFAB7F4024A132F0568BDD9CED9381C63DB27517F13B273F220F122519E

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//mips64el//py3-pdfminer-20191125p0.tgz
MD5	052BF3AFB9C3A809129C25737DA8261E
SHA-1	3FCE16B19A64637F031B053F8A589A6030E2DD1B
SHA-256	7CA11AA299961BB336B8CFB9C91F94322D0FF537A7AC11107205AE6BDE8098BA
SSDEEP	98304:e48CENyB5icd+6Dhcz8TFu+LfNQO4ILV9Oa4ZVP3eQBdkIpBi1WNxWYOchuf4lpM:eNi5a6CzexLNQFILzMDtLyWNJOaPgJFt
TLSH	T1F756332299A22CD1EE909D1F465D1F5063C87B9BACDB3B95CB63E9D00F4239B21520FD

Key	Value
MD5	8BCAEDED61480E1747139738E67FD9E4
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	python3-pdfminer
PackageRelease	3.1
PackageVersion	20191125
SHA-1	4D909FA6226D48D8F9AFDAF785A76E4FC5E6B38B
SHA-256	B98A252EA943A472BFAED427A0F0FDBA36E483FD9EA102C654ECFBF53F70ECE2

Key	Value
MD5	28883ADEADF93B5052E770530A5888E9
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	python39-pdfminer
PackageRelease	3.34
PackageVersion	20191125
SHA-1	53EF31AEADE14C5A74225987590577F3AD9927F0
SHA-256	03ADDE845D19A50237A8FFEF8B66957033439CCCBA8B262A21EC73AA96CDD64E

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.7/packages//sparc64//py3-pdfminer-20191125.tgz
MD5	28530E8AA2A61D70E1DC0F638CB310F9
SHA-1	6A19A83FFEF1F562B5D0A468216069E9FD77B292
SHA-256	629096B1AB34D5815F9C3461137341A5FF31E2EC3CAEFD3082DFA3E6D86B44F8
SSDEEP	98304:K6jezfhH24hn66KXZPYooHlDLp9iucKO0GPDkbXtGxJkCSzQ6rR7FH2eeWx1U:KwezR2FdoHJcKOBPDkbXtGxJkDzbRR4D
TLSH	T1B05633B81D9044ED9F34D80496BC66FD33C9527B181BE60EA188EAC54F1B3D93982D9F

Key	Value
MD5	FE8560F748CE2925463AD5F220B6085D
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	python3-pdfminer
PackageRelease	lp150.3.1
PackageVersion	20191125
SHA-1	6E5BA0E327696F0BE48D2A4872FA35F7A4268EAD
SHA-256	DC6668C72C43CF96069483CFBE8A29334086A37676D61B150852B0883D41C264

Key	Value
FileSize	13456
MD5	463A3044456122B693DA5732795807E8
PackageDescription	Low-level implementation of the YubiKey OTP algorithm in Python YubiOTP is a library for verifying YubiKey OTP tokens. It includes both the low-level implementation for verifying tokens locally and clients for multiple versions of the Yubico validation web service. The primary audience is developers who wish to verify YubiKey tokens in their applications, presumably as part of a multi-factor authentication scheme. . For testing and experimenting, the included yubikey script simulates one or more YubiKey devices using a config file. It also includes utility commands such as a modhex converter. . YubiOTP also includes a command-line web service client called yubiclient.
PackageMaintainer	Debian Python Team <team+python@tracker.debian.org>
PackageName	python3-yubiotp
PackageSection	python
PackageVersion	1.0.0-2
SHA-1	73E46419987B65F258048C261BDCC5F63C14315B
SHA-256	1AA52ADBB7079FF40BC9AE7391B32B6B7FB64B6512586ED7D59FEA8A00D41518

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.7/packages//powerpc//py3-pdfminer-20191125.tgz
MD5	FE085BF4BA1D29918E1AA583710755F9
SHA-1	749038BB6D2696B1B4A3A286D6077BE7DF8F6CB1
SHA-256	9E8698F94791E1F1FE8451E46468AC834D8A6AEC8412C9203234F00E24520C7C
SSDEEP	98304:upiSxHigKU67DJfzqLxcMdu+ZiXWcJ2j3mgsp/i8Pccmt7Pf4TNPJ5EKwO6rN7aK:HSFH67VfOL15iXB86PccmNOZJ5lw1N1X
TLSH	T187563394DDF158AA8EF8CB07A3D550AC77C2C2E18DD2A2996F441A60CF9C6376D42733