Result for 7095A164D7EBAEA814BD56875370C2D22B0A9040

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/wrapt/importer.pyo
FileSize5368
MD55C4A9E33ED1CC5AA36C885D76D2622D4
SHA-17095A164D7EBAEA814BD56875370C2D22B0A9040
SHA-2562ED46285CD3ED4BAC043FF581A0B16F4204601BE8492CA051ED635C8CA42F0FC
SSDEEP96:2LOyNUh3VFCd1a/JpYzMmmMGt50vqa0kuq8eHdw9FXToyo:2LOgUh//JpU/mMGt50vqa0bA0xi
TLSHT154B1CD91F3B10A67D97415B8A1F0032B9AA5F47363027B52267CD53E2E893A9C87E3C1
hashlookup:parent-total7
hashlookup:trust85

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Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5C52F9CB35378E2700ECCAE2937D62206
PackageArchx86_64
PackageDescriptionThe aim of the **wrapt** module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. The **wrapt** module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as ``functools.wraps()`` to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. Documentation ------------- For further information on the **wrapt** module see: * http://wrapt.readthedocs.org/
PackageNamepython2-wrapt
PackageRelease2.6
PackageVersion1.11.1
SHA-1E94A2E9CAD49545B16B4388831B01108853D7940
SHA-2564AFE85FFC0E8CCABFBA286DA4DE7319A48DAD4E3B5D946D48B4C98790D5E2FF2
Key Value
MD5DD0A2B8F552FD6177D9440068EEC95B3
PackageArchs390x
PackageDescriptionThe aim of the **wrapt** module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. The **wrapt** module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as ``functools.wraps()`` to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. Documentation ------------- For further information on the **wrapt** module see: * http://wrapt.readthedocs.org/
PackageNamepython2-wrapt
PackageRelease1.5
PackageVersion1.11.1
SHA-1BB37D96F2BB892213E34DA40D29361622C75BAD6
SHA-25614D9A4F53177E2584F0082DBFD6270F45DEA11902505F484606F469C3AFE9B06
Key Value
MD58A0D4D3F8248FF29906CFD345385CA93
PackageArchx86_64
PackageDescriptionThe aim of the **wrapt** module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. The **wrapt** module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as ``functools.wraps()`` to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. Documentation ------------- For further information on the **wrapt** module see: * http://wrapt.readthedocs.org/
PackageNamepython2-wrapt
PackageReleaselp151.1.6
PackageVersion1.11.1
SHA-1623CD83F67FBD7A8FC96002A96383515F8BBEDEF
SHA-256F017B2972273B437F5E051FDE5122A913DDF8D932F67272EA8F77B8646EFBCEE
Key Value
MD5B304354BDA21D1209DA97B5A295A4FFD
PackageArchx86_64
PackageDescriptionThe aim of the **wrapt** module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. The **wrapt** module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as ``functools.wraps()`` to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. Documentation ------------- For further information on the **wrapt** module see: * http://wrapt.readthedocs.org/
PackageNamepython2-wrapt
PackageReleaselp150.1.3
PackageVersion1.11.1
SHA-14793C1373854EA476ECDB0D9D177C4292CA8E414
SHA-256F90EFE0C52C96734932AF6D08BF60B4D4D5D095059180616621A0430222EEAC4
Key Value
MD5DD41D27F78AB90B77887F4E424723B9C
PackageArchx86_64
PackageDescriptionThe aim of the **wrapt** module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. The **wrapt** module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as ``functools.wraps()`` to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. Documentation ------------- For further information on the **wrapt** module see: * http://wrapt.readthedocs.org/
PackageNamepython2-wrapt
PackageReleaselp150.2.8
PackageVersion1.11.1
SHA-1E4F89B3A9C335F357847AD65AD9017007B81584C
SHA-25613DC277DA097747F1CDB469E252588AA27BF7881ABE12BB7957D3B3E14F00D54
Key Value
MD57A84B58692C914ADE6BD3C64B9C388D9
PackageArchx86_64
PackageDescriptionThe aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions.
PackageMaintainerCBS <cbs@centos.org>
PackageNamepython2-wrapt
PackageRelease1.el7
PackageVersion1.11.1
SHA-12A1970B093EE80E08E211FCC351DAC80772F002F
SHA-256FACD14E42A76201AB012F6C267B3F2F4E5E21F68E344B0B5DA16A17B0489ED0F
Key Value
MD519448DD5B8E8C26DAD4A77A46035FADB
PackageArchx86_64
PackageDescriptionThe aim of the **wrapt** module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. The **wrapt** module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as ``functools.wraps()`` to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. Documentation ------------- For further information on the **wrapt** module see: * http://wrapt.readthedocs.org/
PackageNamepython2-wrapt
PackageRelease1.5
PackageVersion1.11.1
SHA-197C6076FF40DA844C1E8BD545F7CEC4F64E515E0
SHA-25625FC6BFD9C0B895CB718670787B5515616D2C0D698E061CB1033F5F23A48F839