Result for 5D8D918FB0D184F106B67B57FA5D0EEA832ED0A8

Query result

Key Value
CRC32F9BB7F34
FileName./usr/share/doc/packages/python3-fann2/LICENSE
FileSize24382
MD5C73B943DC75F6F65E007C56AC6515C8F
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'software collection', 'Language': 'English', 'MfgCode': '369', 'OpSystemCode': '51', 'ProductCode': '15103', 'ProductName': 'LXFDVD149', 'ProductVersion': '2011'}
RDS:package_id15103
SHA-15D8D918FB0D184F106B67B57FA5D0EEA832ED0A8
SHA-2566876B170378D38F65AADD271485F0A5C45BEAA043A7D3DE5E1636EC927922C83
SHA-5127CAAF9458587E89B7E211F8ED34263B2FE445560B5C9F9F71A550C3A964632F196E6F63F40AE01BBD28699A18DD38928A1CCE0CCBC01A914AC88F2C817558634
SSDEEP384:XH56OuAbn/0Ur+f6wFDVxnF+7xqsvLt+z/k8E9HinIVFkspWM9bc7opt0z:XH5trh+rnFCL1leSWmc7kta
SpecialCode
TLSHT1D3B2753EB70513B206C206915A0FA4DFA32BD07832275A6474D9C15D23AB93553FBBEA
dbnsrl_legacy
insert-timestamp1659213506.1872122
mimetypetext/plain
sourcesnap:T9LSBtm7oEs8IbOJBFYOJ5KdS2eQN1Rf_799
hashlookup:parent-total250
hashlookup:trust100

Network graph view

Parents (Total: 250)

The searched file hash is included in 250 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5CCF7B71A9EE341E72DC0FEF5908913F1
PackageArchnoarch
PackageDescription[b'This package is a little cache system optimized for file containers. It is\nfast and safe (because it uses file locking and/or anti-corruption tests).', b"Cette extension fournit une m\xc3\xa9thode de petit cache optimis\xc3\xa9 pour les fichiers.\nElle est rapide et s\xc3\xa9curis\xc3\xa9e (parce qu'elle utilise les verrous de fichiers\net/ou des tests anti-corruption)."]
PackageMaintainerFedora Project
PackageNamephp-pear-Cache-Lite
PackageRelease2.fc21
PackageVersion1.7.16
SHA-10175A184B46CDFBA7122D12CEA4837E1017BC572
SHA-2563B7C8F31AEE208012D883E5AC9115E012D5A7595B59847B4791BD58F95CDAB4D
Key Value
MD521FB644B88F510DF0627BFE0A0512EA8
PackageArchx86_64
PackageDescriptionFrama-C is a suite of tools dedicated to the analysis of the source code of software written in C. Frama-C gathers several static analysis techniques in a single collaborative framework. The collaborative approach of Frama-C allows static analyzers to build upon the results already computed by other analyzers in the framework. Thanks to this approach, Frama-C provides sophisticated tools, such as a slicer and dependency analysis.
PackageMaintainerdaviddavid <daviddavid>
PackageNameframa-c
PackageRelease0.20171101Sulfur.4.mga7
PackageVersion16.0
SHA-105FBACB44206B3F613947C0713B253E6ACCF75FE
SHA-2562CE89BD90DBDD4D183F2C93738DD7DE3943ACCC5A2A0486257E6B2AFAF0C23F1
Key Value
MD563E1AE4E0B05F3ECF90E148F65FECA4F
PackageArchx86_64
PackageDescriptionPython bindings for Fast Artificial Neural Networks 2.2.0 (FANN >= 2.2.0) that implements multilayer artificial neural networks with support for both fully-connected and sparsely-connected networks. It includes a framework for easy handling of training data sets. These are the original python bindings included with FANN 2.1.0beta and updated to include support for python 2.x/3.x .
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-fann2
PackageReleasebp155.2.10
PackageVersion1.1.2
SHA-106B1924A39A7321E80C1AEF67696EDD825FA409C
SHA-256C5CF14A782CD206348D02B95EAFE37D17423E415EBBB689CA053C3E58C5A046F
Key Value
MD556DFD403A828D85A7ACCEF12B533DC1D
PackageArchi686
PackageDescriptionlibcsv is a small, simple and fast CSV library written in pure ANSI C89 that can read and write CSV data. It provides a straight-forward interface using callback functions to handle parsed fields and rows and can parse improperly formatted CSV files.
PackageMaintainerFedora Project
PackageNamelibcsv
PackageRelease14.fc33
PackageVersion3.0.3
SHA-10A562A29BC3E9F13E0CC2FD715A372A2F69FA3A1
SHA-256CBD7219268F95B2E6FDDCD24994418BDA9BBC5296C9B5F9F06E80BFFFEFD79D4
Key Value
MD5C8D082D977CA6E460B7B0EA49C7113A3
PackageArchx86_64
PackageDescriptionlibcsv is a small, simple and fast CSV library written in pure ANSI C89 that can read and write CSV data. It provides a straight-forward interface using callback functions to handle parsed fields and rows and can parse improperly formatted CSV files.
PackageMaintainerFedora Project
PackageNamelibcsv
PackageRelease14.fc33
PackageVersion3.0.3
SHA-10B43F50F36B81D4ACF07D6D97E1E6961717D2A2F
SHA-256F202035DFF3247406C0727B09A68202515E088A40C8A92E92EEC6DAD0AAF2E08
Key Value
MD5E073C1068002E42FD235AAE1ADB5CF7A
PackageArchnoarch
PackageDescription[b'This package is a little cache system optimized for file containers. It is\nfast and safe (because it uses file locking and/or anti-corruption tests).', b"Cette extension fournit une m\xc3\xa9thode de petit cache optimis\xc3\xa9 pour les fichiers.\nElle est rapide et s\xc3\xa9curis\xc3\xa9e (parce qu'elle utilise les verrous de fichiers\net/ou des tests anti-corruption)."]
PackageMaintainerFedora Project
PackageNamephp-pear-Cache-Lite
PackageRelease4.fc24
PackageVersion1.7.16
SHA-10BBE92A6A34DACF19F037F6ABE53903872D22B4E
SHA-25688D0FDC10F371A5224F896F36B5DFD20C3C9A028FEEB377A8B0455A2BCAE0D33
Key Value
MD5187A64ED313FEB50E4F5423E5E79D8D6
PackageArchx86_64
PackageDescriptionThis package includes development files for libcsv.
PackageNamelibcsv-devel
PackageReleaselp152.7.3
PackageVersion3.0.3
SHA-10BDE30DEEA06E0BA3FA124DA44F0967B1A4989E0
SHA-2567EC13AFCCA5D2B7B2FABE259689C56933B6E12E97152687541A181240D35F854
Key Value
FileSize19329812
MD50C9D254584C2ADB54129FF4DDE31CE5D
PackageDescriptionserver for educational content: courses, exercises, and exams The WWW Interactive Multipurpose Server is an educational platform originally developed for mathematics but now also supporting subjects such as physics, chemistry, biology, and languages. . WIMS features a rich set of resources and exercises either for autodidactical use or for training classes, including: . * exercises with automatic feedback and correction, allowing the learners to work at their own pace; * interactive exercises with randomly assigned data, allowing the learners to work on the same type of exercise but with different data and as often as they wish; * exercises with an automatic scoring system, which enhances learner motivation; * user-friendly graphics and calculation tools; * courses and documents with hyperlinks to the exercise pool; examples in the courses can be made random, so the student can get more than one instance of an illustration for tricky concepts; * support for exams with pre-published contents. As each individual exam will have randomly chosen data, training is possible but writing each response in advance is not. . This package contains the WIMS FastCGI server, serving Open Exercise Format (OEF) documents. OEF is a very high-level language which allows authors to focus on pedagogical issues.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamewims
PackageSectionweb
PackageVersion1:4.15b~dfsg1-2ubuntu1
SHA-10BE3A3D6DE3807B3A43F452D1BA2FA00CEDFA54E
SHA-256B3E9CAE5994980E716F203BD6185D9035AADAC853E3608981DCC95AEB4C35705
Key Value
MD5B9F56F1109E486D282B2318BB1EB9F6D
PackageArchx86_64
PackageDescriptionPython bindings for Fast Artificial Neural Networks 2.2.0 (FANN >= 2.2.0) that implements multilayer artificial neural networks with support for both fully-connected and sparsely-connected networks. It includes a framework for easy handling of training data sets. These are the original python bindings included with FANN 2.1.0beta and updated to include support for python 2.x/3.x .
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-fann2
PackageReleasebp153.1.18
PackageVersion1.1.2
SHA-10C05CC46FAD0B43ACBB80BD72ACA2BF036875D60
SHA-2561BBAB23C1FCE9B38955D4D6B3B8076CEE9BC6E8FFD5E690EB327D5900603A0DA
Key Value
MD577967E0C1C3E3784224398018729A1D1
PackageArcharmv7hl
PackageDescriptionFrama-C is a suite of tools dedicated to the analysis of the source code of software written in C. Frama-C gathers several static analysis techniques in a single collaborative framework. The collaborative approach of Frama-C allows static analyzers to build upon the results already computed by other analyzers in the framework. Thanks to this approach, Frama-C provides sophisticated tools, such as a slicer and dependency analysis.
PackageMaintainerFedora Project
PackageNameframa-c
PackageRelease6.fc33
PackageVersion21.1
SHA-10C0B2AE3949C1DAD753E2F5D5804D89B4AAF5742
SHA-256AC1838700AB34D3D290E33CCF9710E5E052213D6AFAE69EE59C2DE484E44F917