Result for 1C06C067CEB66238A821DB5B9DABC81A89950172

Query result

Key Value
FileName./usr/share/doc/packages/python3-pytest-randomly/README.rst
FileSize5185
MD5DCEAF1048510BF8183DCF1A569344121
SHA-11C06C067CEB66238A821DB5B9DABC81A89950172
SHA-25672BE3A11E2D4FD9A2E5F8C69BF029D3DCDF9D7DBEF5C27239B2871EBCBCE6344
SSDEEP96:90FBMhdnJA+6T7zxxoohlefrUcA/WWlnVfi9ZQPkq:90FWApxqohlejUcA/WoiZQPkq
TLSHT13CB1C6973AD313265F9381D4A5C820A7F726F0BF4319D8E8F4DD8164273263AB5BDA81
hashlookup:parent-total5
hashlookup:trust75

Network graph view

Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD520B6091862F37038F88A9CA2DC3EDD60
PackageArchnoarch
PackageDescriptionPytest plugin to randomly order tests and control random.seed. Features: * Randomly shuffles the order of test items. This is done first at the level of modules, then at the level of test classes (if you have them), then at the order of functions. This also works with things like doctests. * Resets random.seed() at the start of every test case and test to fixed number - this defaults to time.time() from the start of your test run, but you can pass in --randomly-seed to repeat a randomness-induced failure. * If factory boy is installed, its random state is reset at the start of every test. This allows for repeatable use of its random 'fuzzy' features. * If faker is installed, its random state is reset at the start of every test. This is also for repeatable fuzzy data in tests. * If numpy is installed, its random state is reset at the start of every test.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-pytest-randomly
PackageReleasebp154.1.23
PackageVersion3.3.1
SHA-1BD621A4230CE7FAA0B0D0F9921D0732060446BCC
SHA-2564F3DF1BD9501DE5C0CEA78A7EA80C425581F80651C213015EFB3D0A01B915A36
Key Value
MD5E5B97DAD0DD735B27446978D2D023547
PackageArchnoarch
PackageDescriptionPytest plugin to randomly order tests and control random.seed. Features: * Randomly shuffles the order of test items. This is done first at the level of modules, then at the level of test classes (if you have them), then at the order of functions. This also works with things like doctests. * Resets random.seed() at the start of every test case and test to fixed number - this defaults to time.time() from the start of your test run, but you can pass in --randomly-seed to repeat a randomness-induced failure. * If factory boy is installed, its random state is reset at the start of every test. This allows for repeatable use of its random 'fuzzy' features. * If faker is installed, its random state is reset at the start of every test. This is also for repeatable fuzzy data in tests. * If numpy is installed, its random state is reset at the start of every test.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-pytest-randomly
PackageReleasebp155.2.12
PackageVersion3.3.1
SHA-196789EEE5EFE3AF0FAC36DE6BA302B4AA92C8039
SHA-2563735A7D7F0B390BAC37352CC73D8771DCC1C8828F100A58F66FA22AB81C6EB17
Key Value
MD55C9A103F0E9FC0DDECEFAF888C51CC05
PackageArchnoarch
PackageDescriptionPytest plugin to randomly order tests and control random.seed. Features: * Randomly shuffles the order of test items. This is done first at the level of modules, then at the level of test classes (if you have them), then at the order of functions. This also works with things like doctests. * Resets random.seed() at the start of every test case and test to fixed number - this defaults to time.time() from the start of your test run, but you can pass in --randomly-seed to repeat a randomness-induced failure. * If factory boy is installed, its random state is reset at the start of every test. This allows for repeatable use of its random 'fuzzy' features. * If faker is installed, its random state is reset at the start of every test. This is also for repeatable fuzzy data in tests. * If numpy is installed, its random state is reset at the start of every test.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-pytest-randomly
PackageReleaselp152.1.1
PackageVersion3.3.1
SHA-11DCDACE28CCF6FD4DBAABF65265CE0E63EBE250E
SHA-25658BEB4B77338A13D9769F8FE0861381903272D09F4E900848CA0C51E79E20711
Key Value
MD5A76519768A88824E6BE7EDF0BBCC2B1A
PackageArchnoarch
PackageDescriptionPytest plugin to randomly order tests and control random.seed. Features: * Randomly shuffles the order of test items. This is done first at the level of modules, then at the level of test classes (if you have them), then at the order of functions. This also works with things like doctests. * Resets random.seed() at the start of every test case and test to fixed number - this defaults to time.time() from the start of your test run, but you can pass in --randomly-seed to repeat a randomness-induced failure. * If factory boy is installed, its random state is reset at the start of every test. This allows for repeatable use of its random 'fuzzy' features. * If faker is installed, its random state is reset at the start of every test. This is also for repeatable fuzzy data in tests. * If numpy is installed, its random state is reset at the start of every test.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-pytest-randomly
PackageReleasebp153.1.21
PackageVersion3.3.1
SHA-103646A431FD69111D85D9399E5B977BFCEA4A16D
SHA-2562043450D8CCA261361BF786DBF1A9DD2D0AD6BE7CB4D015B660968AD1A613750
Key Value
MD522AC4275A4BB6BBD61C5084E507DA756
PackageArchnoarch
PackageDescriptionPytest plugin to randomly order tests and control random.seed. Features: * Randomly shuffles the order of test items. This is done first at the level of modules, then at the level of test classes (if you have them), then at the order of functions. This also works with things like doctests. * Resets random.seed() at the start of every test case and test to fixed number - this defaults to time.time() from the start of your test run, but you can pass in --randomly-seed to repeat a randomness-induced failure. * If factory boy is installed, its random state is reset at the start of every test. This allows for repeatable use of its random 'fuzzy' features. * If faker is installed, its random state is reset at the start of every test. This is also for repeatable fuzzy data in tests. * If numpy is installed, its random state is reset at the start of every test.
PackageNamepython3-pytest-randomly
PackageRelease2.1
PackageVersion3.3.1
SHA-1846EBA2C2971A5885BE9C4712FC25D605B47618F
SHA-25610F89039D950D3AA7721D714D86DF4B7B5EB45D4C1CC61FBF7B7649437811881