Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	31872
MD5	3A8814D907EC961081AFF778CBF9DEB0
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	1.1.0-2
SHA-1	F808B42B57C15A726DBC543E12C010B1CA9A74E2
SHA-256	EFA92E8CC35A0BEBF9580F191D014D923C292C038CC1E6974286B07B1F3BFFCD

Key	Value
FileSize	29016
MD5	68F612D5938DBB8398800D4611D91785
PackageDescription	Python 3 module for using fake objects for tests 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 Python 3 version of the package.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python3-fudge
PackageSection	python
PackageVersion	1.1.0-2
SHA-1	B3EA94E0FCA84F921E507DC0C2BDD15461F584DD
SHA-256	A6A057C85DAC88D96682392D95395743C3BD07CAF3DD92BDFE4426EB61C5CD80

Key	Value
FileSize	29048
MD5	55E1D33E45BACDF048A67B0399E7359F
PackageDescription	Python 3 module for using fake objects for tests 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 Python 3 version of the package.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-fudge
PackageSection	python
PackageVersion	1.1.0-2
SHA-1	E99E496399A58CF9206C4040DB924CBCA6A54E13
SHA-256	5DA570BB915C9F7A1C5E0166AE54B23DACA2EB2BF8D63CD8B793AE9CF173F2E8

Key	Value
FileSize	31912
MD5	072BE819CDAB7C486DDDFCE728DB0DCF
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	1.1.0-2
SHA-1	696EA7C2EC08EE6EAE1724A279C693E7E17D8F67
SHA-256	09E1A767E64472BFD15EEEAF9EC43A67B253CE5B9628B026CB7E96C59BD8129A