Result for 01D95B4FC34ED8B0FA630B4A6A12F96DD7F640C1

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/numexpr/version.py
FileSize366
MD5155AB7B1534D57B7C0785E0A6E8EAA41
SHA-101D95B4FC34ED8B0FA630B4A6A12F96DD7F640C1
SHA-256222EAB9B541C07368EE12A66C1AEB48B2699F52E98B85E36B81120DD2FE9EC30
SHA-51272B7CAE4A5BFAF09AD43B7D9B359F3F5645CE746A8C17CDDB5A87C143E94B8FC70CC58BD953B3102E766DC00688A78EE49D2FC8630544563432AB78BA94E10C9
SSDEEP3:RGRG8MdASZEWRFk1MRaH6kXFrQhLrXlALWQOFF/VKPIQ2HIeFFAFTglTFEKmgigj:aFuJiakBQLFbePeIAFEP5IXCfDfOyQky
TLSHT1BEE0A72C40256465AB41C963E94AA2EF7244A2577F732501357FD5D13762C22C5E612E
insert-timestamp1727098315.6360981
mimetypetext/plain
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
hashlookup:parent-total11
hashlookup:trust100

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Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5866FF618DFD58EF7AC297AF5ADF68F4F
PackageArchs390x
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 3.
PackageMaintainerFedora Project
PackageNamepython3-numexpr
PackageRelease3.el8
PackageVersion2.7.0
SHA-1FCF0C02128F0124171E050EFE88D9299FBE778A1
SHA-25610B390A44260E17B0B930D5672FA019F437CDDD644124B23ADECEE2745923C9A
Key Value
MD585B268104A1971D314DCC83831CA6A70
PackageArchaarch64
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 3.
PackageMaintainerFedora Project
PackageNamepython3-numexpr
PackageRelease3.el8
PackageVersion2.7.0
SHA-12BE680CC1A57F44493E50E1CA06EA1DDDB49446F
SHA-256C465BBEB82C13A22ACC92B789CB068264E6B35D1B5DD4A8DF7C24C81E66F5C27
Key Value
MD5D2430F6966E921D878960BE2C0CBFEA1
PackageArchppc64le
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 3.
PackageMaintainerFedora Project
PackageNamepython36-numexpr
PackageRelease1.el7
PackageVersion2.7.0
SHA-18651F4D7957A7CF1A164C880F2C7A6F95B872971
SHA-25682ACF62269B355BD86FE91CB8C21E66C5AB8E2E1F917495BDED0DD81D4E4BAAC
Key Value
MD50CAE8ECBC00B61F40F888D4323991616
PackageArchaarch64
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 2.
PackageMaintainerFedora Project
PackageNamepython2-numexpr
PackageRelease1.el7
PackageVersion2.7.0
SHA-112E9D9F7AA718C961653F375F529779321D80819
SHA-256178B25BCABBF10054ABB30BFC236BBEC0F8A85FC14EC255F8A26A216DEB1CA06
Key Value
SHA-1F0F46CD4B62FBCDE84ED8D6BFC7272E932A8A854
snap-authoritycanonical
snap-filename0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19.snap
snap-id0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
snap-namemesmerize
snap-publisher-idfEhmgPJBtlCxzqx3JofAbFFGndznOB8t
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2019-07-06T23:45:50.227314Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19.snap
Key Value
MD58EC9F3A3CCC7385B962254A675983241
PackageArchppc64le
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 2.
PackageMaintainerFedora Project
PackageNamepython2-numexpr
PackageRelease1.el7
PackageVersion2.7.0
SHA-181C1256BA4FB401E4B6E4ED87A3784E3F528FBA2
SHA-256F788D1F5B50321B9BF6F4C0963DD9FE80B15072882656477B547C04C1AD4C82C
Key Value
MD5A2EAB773898E69772DE86422C7EF6876
PackageArchaarch64
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 3.
PackageMaintainerFedora Project
PackageNamepython36-numexpr
PackageRelease1.el7
PackageVersion2.7.0
SHA-157B4421FD9CA115FDC030830AA043090B60F6B80
SHA-256F7B19281F32E6411236F2B89F700FF905ED450C96EC9D096AA2FFB49BF757BFE
Key Value
MD5A7AC011BEDF48E0D8C547D04143D3458
PackageArchx86_64
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 2.
PackageMaintainerFedora Project
PackageNamepython2-numexpr
PackageRelease1.el7
PackageVersion2.7.0
SHA-1A4152C543C9A06AB25460AB05BD44AB20CC144D6
SHA-2560D7C7216CEAA5C9ACDD7EF0DAD22BEE7BCFD36C869B88B1C7A20BFEB6B29CDB5
Key Value
MD52060A651DB1EB3D7874255AF0A764E14
PackageArchppc64le
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 3.
PackageMaintainerFedora Project
PackageNamepython3-numexpr
PackageRelease3.el8
PackageVersion2.7.0
SHA-132A0042079BAF83784FD22718A639DE1A3479164
SHA-2568390B7D44AA2E8194D6E6C6370FEBAAAF52F5406878438A4B6A256EEE871C92E
Key Value
MD5A112ABC6C1D5839EAD4BCA606E5DE2C3
PackageArchx86_64
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 3.
PackageMaintainerFedora Project
PackageNamepython36-numexpr
PackageRelease1.el7
PackageVersion2.7.0
SHA-17B5ABD4D25C6B4B89D2FB682914DB030699B4F6D
SHA-2567CB4EC40AC051FA67CF43FA224DDE193AED834007D43FF6E14F11274DD73D757
Key Value
MD580A5E741925DF9E0E429BBF7505D78A3
PackageArchx86_64
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 3.
PackageMaintainerFedora Project
PackageNamepython3-numexpr
PackageRelease3.el8
PackageVersion2.7.0
SHA-1E527FC850CA55403529F48B06A1616FFCD3D5A36
SHA-25666629C3FD133789755FCFECCC1637AAEDDC3BC564F84AF53C5FB87E7A099F95A