Result for 10ED473335AADA51BC03E60D07195407947F38E8

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/storm/tz.pyo
FileSize24305
MD503689A1084D51C19C14C1F4029F834E3
SHA-110ED473335AADA51BC03E60D07195407947F38E8
SHA-25673C98BC3E204776ACB4827415BB7F78272D9AE4AF0E9F4DE4398A7DADD473A59
SSDEEP384:V4pnNqfgDGSSprsEEpMCDSxgb816t30pbmo4HxQ2Je0CA4D:epnN0gDGS4gEaMDWb816t30Nmo4HxN4D
TLSHT19BB221D0B3A98B67D4A546B5A1F1210BAB79F0B763423B4112ACE53E3CC5369C52B3E1
hashlookup:parent-total8
hashlookup:trust90

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Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5831C3DC53B1189D9BC118E59904537FE
PackageArchx86_64
PackageDescriptionStorm is an object-relational mapper (ORM) for Python developed at Canonical. The project has been in development for more than a year for use in Canonical projects such as [WWW] Launchpad, and has recently been released as an open-source product. Highlights: * Clean and lightweight API offers a short learning curve and long-term 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).
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-storm
PackageReleaselp152.4.1
PackageVersion0.20
SHA-19F863FD4D449CE9A95B4B4B92F9190D8E86B6EDE
SHA-2567EB0E390962F7A0A1A065A56B621C7DEE1A533C013DF2CF11D549E26D8166041
Key Value
MD54599575192C98CCA0CF9F6F0FDE42600
PackageArchx86_64
PackageDescriptionStorm is an object-relational mapper (ORM) for Python developed at Canonical. The project has been in development for more than a year for use in Canonical projects such as [WWW] Launchpad, and has recently been released as an open-source product. Highlights: * Clean and lightweight API offers a short learning curve and long-term 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).
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-storm
PackageReleasebp153.1.15
PackageVersion0.20
SHA-1E1B054AFD19D0CCAC3B1AFF7D7AF35FF8ED8234C
SHA-2567736CC2A66B2FE30F6C1838101070E2D31D3582687A47E239584D9E216163201
Key Value
MD558F7CA361BC2108A20EA172229409F01
PackageArchx86_64
PackageDescriptionStorm is an object-relational mapper (ORM) for Python developed at Canonical. The project has been in development for more than a year for use in Canonical projects such as [WWW] Launchpad, and has recently been released as an open-source product. Highlights: * Clean and lightweight API offers a short learning curve and long-term 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).
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython-storm
PackageReleaselp151.2.4
PackageVersion0.20
SHA-1B19FA17B0A0BDC251E918653B46BAE4DCF0832A0
SHA-25686A610A5C5F3660021EB9ED672310F4D3A075A9E860AAA23E21CF1A0BB10E732
Key Value
MD50377F5BEDE9F474BB4E7BB7D8EE949E9
PackageArchx86_64
PackageDescriptionStorm is an object-relational mapper (ORM) for Python developed at Canonical. The project has been in development for more than a year for use in Canonical projects such as [WWW] Launchpad, and has recently been released as an open-source product. Highlights: * Clean and lightweight API offers a short learning curve and long-term 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).
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython-storm
PackageReleaselp150.1.3
PackageVersion0.20
SHA-1D1AE66BF59A5873B39DB7D0DB9D7A5ED0DE14108
SHA-256DB817DF9D5CCFF091347696A65D1338B846AB73EFF2CC60A7AC0B7E5B84C921C
Key Value
MD53207D65D97D1578E387620E61BE7C7C7
PackageArchaarch64
PackageDescriptionStorm is an object-relation mapper (ORM) for the Python language. It allows rows from a relational database to be seen as objects in an object-oriented language like Python. - Storm lets you efficiently access and update large datasets by allowing you to formulate complex queries spanning multiple tables using Python. - Storm allows you to fallback to SQL if needed (or if you just prefer), allowing you to mix "old school" code and ORM code
PackageMaintainerumeabot <umeabot>
PackageNamepython-storm
PackageRelease9.mga7
PackageVersion0.20
SHA-18B994D1F106C80EB29D540D4E6F905DC4AFDC8D0
SHA-256B86D3AD80A163B9A90AA797AD0B9AFA3ACE7252B8F874C41C305F325FA0864CF
Key Value
MD52D948290C2FC857E1DED09F8B5635828
PackageArchx86_64
PackageDescriptionStorm is an object-relation mapper (ORM) for the Python language. It allows rows from a relational database to be seen as objects in an object-oriented language like Python. - Storm lets you efficiently access and update large datasets by allowing you to formulate complex queries spanning multiple tables using Python. - Storm allows you to fallback to SQL if needed (or if you just prefer), allowing you to mix "old school" code and ORM code
PackageMaintainerumeabot <umeabot>
PackageNamepython-storm
PackageRelease9.mga7
PackageVersion0.20
SHA-1D041A9E87ECBDA694306BB97FEB9F910E9CCFBAD
SHA-256272791302D7CCC70F5E5CEA65330BF7F20F863E63A3D9AEFBAD201BD9DB48130
Key Value
MD532D1174E11AC129772461BA3074575FC
PackageArchx86_64
PackageDescriptionStorm is an object-relational mapper (ORM) for Python developed at Canonical. The project has been in development for more than a year for use in Canonical projects such as [WWW] Launchpad, and has recently been released as an open-source product. Highlights: * Clean and lightweight API offers a short learning curve and long-term 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).
PackageNamepython2-storm
PackageReleaselp150.5.7
PackageVersion0.20
SHA-189254D4CB0B9F10E7612E932C87FCB28C1D7E7CE
SHA-2568A64CE1AE1170817BCDD59C84337CFB046CBD0FC685AF7511C9CE9DE3E1A16D3
Key Value
MD5CBB5C2D082C870D3FCFCF6EBA2EA4DE1
PackageArchs390x
PackageDescriptionStorm is an object-relational mapper (ORM) for Python developed at Canonical. The project has been in development for more than a year for use in Canonical projects such as [WWW] Launchpad, and has recently been released as an open-source product. Highlights: * Clean and lightweight API offers a short learning curve and long-term 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).
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-storm
PackageReleasebp153.1.15
PackageVersion0.20
SHA-1D3F1AF2A35A4F4B51E618A3CEED7294C0D70E57E
SHA-256849A09115FA0AC3D53F8FDF7032300CF3FCC0A27CEC92C0CD965C93130E40F23