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
FileSize	45640
MD5	203FFD078EC5604FDDCAAF4192B621EC
PackageDescription	Python 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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-fudge-doc
PackageSection	doc
PackageVersion	1.1.0-1
SHA-1	B56BA13B821DA3E5E336ECABFFEDF0365832F7B6
SHA-256	02F77C93476805D721E39D47A45C11792DFD6355B217D09CC1EC22911BC26843

Key	Value
FileSize	45828
MD5	45B1585C4297BC45904D47191014E4C7
PackageDescription	Python 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-fudge-doc
PackageSection	doc
PackageVersion	1.1.0-1
SHA-1	97B1DBC8B151D99BDD8C91031F1343E054890CA9
SHA-256	00B92CC4A413CF8501D5A4BCCA15C48EC59361F67EF2046507194B51853B4C06