Result for A35DF76F86C93FE6DC76C2EBFA5FDEC1A1EC8CF4

Query result

Key Value
FileName./usr/lib/python3/dist-packages/fudge-1.0.3.egg-info/SOURCES.txt
FileSize1161
MD54E5452A07098D9CEEFE6B5F43DEADD92
SHA-1A35DF76F86C93FE6DC76C2EBFA5FDEC1A1EC8CF4
SHA-25654D74A9F02C03E8BB0C8C058F71D0CF902233A16A652A3F39BC202FAB9A4B649
SSDEEP24:Y2Q0QeN8AFe0dgD4dZ4dFKTIYT6TizvFjNkRQvQN0f0iuyNy625WGnKpGWVPGJ:RQ0QE8Ee0dgDwZwMPD/ZVC
TLSHT18E21F391CAA3E40B105390D4978F9537F55BE7B1FC03C7C591FC0184FA669644944E2F
hashlookup:parent-total4
hashlookup:trust70

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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
FileSize31188
MD58016D1C2B0668DD7F3E7DE4C8E57156A
PackageDescriptionPython module for using fake objects to test real ones 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.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-fudge
PackageSectionpython
PackageVersion1.0.3-3
SHA-1DBCEE6E3B04C54E38F827C20FD5A2659522898F7
SHA-25691E389766F15FECCAF9B50639323A05707B4EE54D211EFA281870417CE183125
Key Value
FileSize31114
MD5A531CE6554589C9871B8D44DADA12F1D
PackageDescriptionPython module for using fake objects to test real ones 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-fudge
PackageSectionpython
PackageVersion1.0.3-3
SHA-1A4C5812B9E6CB4DFE12BC30F9E988DBBC256F45E
SHA-2561C767B1F3115A06DBC57B869CA9706C057D8204F3C1E1176C159AB4979C49C20
Key Value
FileSize30488
MD59956A22A243A9DFDDA6C77E9091E90EF
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 Python3 version of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-fudge
PackageSectionpython
PackageVersion1.0.3-3
SHA-1822965EAD391CC947D313BD0DF2F074165EAAD5C
SHA-2567BB7D9322D3FE551233BA0403F02DC4C146BCAA98A1157DC95199DA47029AE92
Key Value
FileSize30348
MD5C04C741D0A9F97EFF05C706488102B86
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 Python3 version of the package.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython3-fudge
PackageSectionpython
PackageVersion1.0.3-3
SHA-1CC1839655AE7A1D5ED4358C37F0E85020DC92232
SHA-256D60716DCD3A66C7120E266E8F3A44F8B76F7E61E427B2139220D581C0C1888BA