Result for 32234BA3BD9C5569FCA7CA8A24AEF3D859EDA7AD

Query result

Key Value
FileName./usr/share/doc/python-fudge-doc/html/searchindex.js
FileSize11458
MD501763BE324E2139419C86B584F4FDCB8
SHA-132234BA3BD9C5569FCA7CA8A24AEF3D859EDA7AD
SHA-256CB1B3819B540168D8860E6DD127305009A4F5415EE7F03E6780D14D40AE0459C
SSDEEP192:CNRgwfNxz3tk7u+moE536Aai6Ev2hPDjLt60wZvyjppQehmisNm4:MWINpi6oE1wfEv6bFFwZKlpFmisF
TLSHT1343261BB08694C5F507AC1A7FCC68346964B910EED2D8BC1DDB8C13DA247689973E81F
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize45640
MD5203FFD078EC5604FDDCAAF4192B621EC
PackageDescriptionPython module for using fake objects for tests, documentation package Fudge is a Python module for using fake objects (mocks and stubs) to test real ones. . In readable Python code, you declare what methods are available on your fake and how they should be called. Then you inject that into your application and start testing. This declarative approach means you don’t have to record and playback actions and you don’t have to inspect your fakes after running code. If the fake object was used incorrectly then you’ll see an informative exception message with a traceback that points to the culprit. . Fudge was inspired by Mocha which is a simpler version of jMock. But unlike Mocha, Fudge does not automatically hijack real objects; you explicitly patch them in your test. And unlike jMock, Fudge is only as strict about expectations as you want it to be. If the type of arguments sent to the fake method aren’t important then you don’t have to declare an expectation for them. . This is the documentation of python-fudge.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-fudge-doc
PackageSectiondoc
PackageVersion1.1.0-1
SHA-1B56BA13B821DA3E5E336ECABFFEDF0365832F7B6
SHA-25602F77C93476805D721E39D47A45C11792DFD6355B217D09CC1EC22911BC26843
Key Value
FileSize45828
MD545B1585C4297BC45904D47191014E4C7
PackageDescriptionPython module for using fake objects for tests, documentation package Fudge is a Python module for using fake objects (mocks and stubs) to test real ones. . In readable Python code, you declare what methods are available on your fake and how they should be called. Then you inject that into your application and start testing. This declarative approach means you don’t have to record and playback actions and you don’t have to inspect your fakes after running code. If the fake object was used incorrectly then you’ll see an informative exception message with a traceback that points to the culprit. . Fudge was inspired by Mocha which is a simpler version of jMock. But unlike Mocha, Fudge does not automatically hijack real objects; you explicitly patch them in your test. And unlike jMock, Fudge is only as strict about expectations as you want it to be. If the type of arguments sent to the fake method aren’t important then you don’t have to declare an expectation for them. . This is the documentation of python-fudge.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-fudge-doc
PackageSectiondoc
PackageVersion1.1.0-1
SHA-197B1DBC8B151D99BDD8C91031F1343E054890CA9
SHA-25600B92CC4A413CF8501D5A4BCCA15C48EC59361F67EF2046507194B51853B4C06