Result for 012C85DB05D9ED47AB81A54B9FFE747D69A35D86

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/pdfminer/__pycache__/lzw.cpython-36.pyc
FileSize2308
MD57762F60191DEB73FE74D83EA57C56139
SHA-1012C85DB05D9ED47AB81A54B9FFE747D69A35D86
SHA-256D5F6EAEF1F84C0E34BA060A67FF5507FD685DE8DCF0B5F3D76895A4222C65308
SSDEEP48:+2U52/6P4KFHHbeHd7jCYu6heWcKfJ7wNpmSAs89TK5GWk:GxHbeHRAccKerAL9TDWk
TLSHT1E04175C99BCA6F6FFDA4F3BD0485D2301562A537734992076D10426BBC053E64D5298D
hashlookup:parent-total7
hashlookup:trust85

Network graph view

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
MD5DFB99A81158693BDC7E7D23EAAA3CBDF
PackageArchnoarch
PackageDescriptionPDFMiner 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>
PackageNamepython3-pdfminer
PackageReleaselp152.3.1
PackageVersion20191125
SHA-1F3E8E14BFE41F093993FC97E73608007CAEB1FEE
SHA-25692787EACA4663BA298309FFB1B23B43C6927ADDFFDDF496B7B304A95B7465285
Key Value
MD58BCAEDED61480E1747139738E67FD9E4
PackageArchnoarch
PackageDescriptionPDFMiner 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>
PackageNamepython3-pdfminer
PackageRelease3.1
PackageVersion20191125
SHA-14D909FA6226D48D8F9AFDAF785A76E4FC5E6B38B
SHA-256B98A252EA943A472BFAED427A0F0FDBA36E483FD9EA102C654ECFBF53F70ECE2
Key Value
MD556A7C08A7458D090B75F05C45D3A70A6
PackageArchnoarch
PackageDescriptionPDFMiner 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>
PackageNamepython3-pdfminer
PackageReleaselp151.3.1
PackageVersion20191125
SHA-1D99A9B89A239458F3D1342F4F8C27F17002A339D
SHA-25678E90DE1421196FAEAD3E02CE185EC310D45208752E026C10401DC32C98BE4FD
Key Value
MD5FE8560F748CE2925463AD5F220B6085D
PackageArchnoarch
PackageDescriptionPDFMiner 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>
PackageNamepython3-pdfminer
PackageReleaselp150.3.1
PackageVersion20191125
SHA-16E5BA0E327696F0BE48D2A4872FA35F7A4268EAD
SHA-256DC6668C72C43CF96069483CFBE8A29334086A37676D61B150852B0883D41C264
Key Value
MD567DF1D9E304306DAAA83F447F61331C4
PackageArchnoarch
PackageDescriptionPDFMiner 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>
PackageMaintainerhttps://www.suse.com/
PackageNamepython3-pdfminer
PackageReleaselp154.3.1
PackageVersion20191125
SHA-1FA86AADA39A0DAC39AC5B9F4184E52BEBA2A9559
SHA-256AE04BC0EE55BB753C1EFE5CE90D9C3F89F13B196606DED7DBA2A02B6592CD9AE
Key Value
MD5A029ADA98FCD4EAA6530B1D3400C2747
PackageArchnoarch
PackageDescriptionPDFMiner 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>
PackageMaintainerhttps://www.suse.com/
PackageNamepython3-pdfminer
PackageReleaselp154.3.3
PackageVersion20191125
SHA-1FF9285E48AE664277F41BA903CF3E495D451670F
SHA-25697C66B2D7BA1277C6C13196E617B553B1F2B840B8168C84B674FFB2412C23D93
Key Value
MD55974DAD1489CC23FE1EBB48826E59738
PackageArchnoarch
PackageDescriptionPDFMiner 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>
PackageNamepython3-pdfminer
PackageReleaselp153.3.1
PackageVersion20191125
SHA-112ACCCC98254270C5E94EDB63E17CF45384D0D85
SHA-25627294B7205E1DE1DA6C48E51FFF11CA3FB8A76680A681340A0B045FA3AE69310