Result for 201E2ADCE9D89A31381AFA200B70D8C8695929E3

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/wrapt/_wrappers.so
FileSize60216
MD59A93B13D5092B35FE81C8B5ED5F8CE7D
SHA-1201E2ADCE9D89A31381AFA200B70D8C8695929E3
SHA-256658604D2CFD8F548BDCD3C10C21ACD23FF256C04CD52DA053B74E7FA671EE444
SSDEEP768:ghXUVetfbLUFAcIrSjjroJVPpqizZ6+vtifVfsA6IdXvf6GJWlkQ/:iXmF8SKyfGA6eHy
TLSHT19343B74B7622DAFCC9FB43746417C1B158F2B46C8602603F7110ABE60B977099BFE56A
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5D8AAD82C62AC1EE6EAFC048587ED48D3
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
PackageRelease28.2
PackageVersion1.13.2
SHA-16CA3631EB2FEC6606313F8C95D613BE1DB31EB5F
SHA-25642F3602F416F79388BBE0C954AF84B3CFC25684ED93051642FA20578DC78338F
Key Value
MD5825C9E0229C924A7BACE569E0D94BB2F
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
PackageReleaselp153.28.1
PackageVersion1.13.2
SHA-1AA99B93D70BD7A903BF79385B59B13F58DF0A8A2
SHA-2567BD7B1FA284FF46C9A00A50C0994122641F75DA20DE0D95D5CF3665E39E3CC5B