Result for 05AD8466B5EF5DFDA6E7CB7E6163D5E5ECF74E86

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/storm/cextensions.so
FileSize32508
MD5242DD1D4327325961A7BE75A21699BB4
SHA-105AD8466B5EF5DFDA6E7CB7E6163D5E5ECF74E86
SHA-256D370EA7BE3F86D65B61C188DD0F5C21C5C6242CF4715E7446E9118904AC7772A
SSDEEP768:OPh2Q35QQVnWN09yXd2aViW0crd0EWQ+:WdGGWC9kpZWQ
TLSHT11CE26462E641DB72C4D029BB764A8B1AF38B573190EE2F854F1058D8B7DB8F51E37908
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize140230
MD5E6AF318F17F45CAE08644F1375591464
PackageDescriptionobject-relational mapper (ORM) for Python Storm is an object-relation mapper (ORM) for the Python language. In simple terms, that kind of system allows rows from a relational database to be seen as objects in an object-oriented language like Python. . Features: * Clean and lightweight API offers a short learning curve and long- erm maintainability. * Storm is developed in a test-driven manner. An untested line of code is considered a bug. * Storm needs no special class constructors, nor imperative base classes. * Storm is well designed (different classes have very clear boundaries, with small and clean public APIs). * Designed from day one to work both with thin relational databases, such as SQLite, and big iron systems like PostgreSQL and MySQL. * Storm is easy to debug, since its code is written with a KISS principle, and thus is easy to understand. * Designed from day one to work both at the low end, with trivial small databases, and the high end, with applications accessing billion row tables and committing to multiple database backends. * It's very easy to write and support backends for Storm (current backends have around 100 lines of code).
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-storm
PackageSectionpython
PackageVersion0.19-1
SHA-16DD4D01A0E50C18E8B59B18AA93F0EBE90E28606
SHA-256D7B8A4E0793F7BADA50D45534F818771DD525803D7EFE3B807BBAB24E3638085