Result for 0266D2D1BE62499F6C776617D5A5953538584346

Query result

Key Value
FileName./usr/share/doc/python3-fudge/changelog.Debian.gz
FileSize742
MD548D8CFC1FC40AD13C35B4D834B727AC8
SHA-10266D2D1BE62499F6C776617D5A5953538584346
SHA-25644FBD56350FA71006B705F27F8415986A5EB565CCB19E8AC00A46E0D5EFBE857
SSDEEP12:XEQ7Zwnh7p0mmqHYc12H2z/C9tybg5U/hjOqm3K3p0Q96Ydji5PPzJkzzd1:XV7ZwL0Rq4ccH2z/Ckakcqxpx6ZPPiV1
TLSHT1D701E94AF984C303C4300379729B3A50CC0285806E3EAD7541AB07CEF3EB0447104CE9
hashlookup:parent-total6
hashlookup:trust80

Network graph view

Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize28740
MD5CD6184DDFED767F437740E0FC2899CB2
PackageDescriptionPython 2 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 2 version of the package.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-fudge
PackageSectionpython
PackageVersion1.1.0-1
SHA-16B00A2BE175AB4E4D9A828399B81BFD6148BC0F4
SHA-256C4A14D6B4092709ABFC637C46F874C8C9F6B83A0873ED0824159782D9CFDAED8
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
FileSize28826
MD539794530BFD54367DD07B66DE698F54F
PackageDescriptionPython 2 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 2 version of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-fudge
PackageSectionpython
PackageVersion1.1.0-1
SHA-111273780AD6E2450256888E790FFFDF978E62850
SHA-2562F794465437F5CA9D8627706B2681C721CE4166EF0A6C482A306EAEA990A55E2
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
Key Value
FileSize28832
MD5532B1A7DA53723F8D0E0DA9FA9C0CD23
PackageDescriptionPython 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.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython3-fudge
PackageSectionpython
PackageVersion1.1.0-1
SHA-19693788A631814D45AA7567CF836EE0952FAD7BF
SHA-2569AF52131AF95606DA5A661FB130ED7D14BAAB709A9691F67BB3AB91A1C1F9E1F
Key Value
FileSize28912
MD53FFF6CF7B65FE68122484E03DA9C8021
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-fudge
PackageSectionpython
PackageVersion1.1.0-1
SHA-135F6C1A422C27A9D1AC3051161437F81EF0DC512
SHA-256B9691DCE34E9E7FFD2F05C0F7BA05AC90E8E39367045C10F3836D99B2D805CA2