| Key | Value | 
|---|---|
| FileName | ./usr/lib/python3/dist-packages/numexpr/version.py | 
| FileSize | 366 | 
| MD5 | B04979E7DC1DB4598A476EE730F8CA4E | 
| SHA-1 | 480A899F732C439A89AC21127CDEB3C850CE3F82 | 
| SHA-256 | B0898C8A4F8F3E5FB85D9D27A26AD1FC6E9C717062FCE8098E2BA3730CE346E1 | 
| SSDEEP | 3:RGRG8MdASZEWRFk1MRaH6kXFrQhLrXlALWQOFF/VKPIQ2HIeFFAFTglTFEKmgign:aFuJiakBQLFbePeIAFEP5IXCfDfOyQH | 
| TLSH | T1AAE0A73C40256465AB41C963E94A92EF7284A2677F632501357FD5D13762C22C6E612E | 
| hashlookup:parent-total | 4 | 
| hashlookup:trust | 70 | 
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 | 
|---|---|
| FileSize | 123060 | 
| MD5 | 07F7CDB4C5D042062145E4072BE729AE | 
| PackageDescription | Fast numerical array expression evaluator for Python 3 and NumPy 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 package contains numexpr for Python 3. | 
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> | 
| PackageName | python3-numexpr | 
| PackageSection | python | 
| PackageVersion | 2.4.3-1ubuntu1 | 
| SHA-1 | ADF2B62C78000895CDBCE96D0E7D9CCAAA00D009 | 
| SHA-256 | 5D520AB461338C64A34AB3B17BA8861F9A673C4657300CCD3BF9883A1E06682E | 
| Key | Value | 
|---|---|
| FileSize | 116504 | 
| MD5 | 125A654142414027CFAD790FC009579A | 
| PackageDescription | Fast numerical array expression evaluator for Python and NumPy 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 Python 2 version of the package. | 
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> | 
| PackageName | python-numexpr | 
| PackageSection | python | 
| PackageVersion | 2.4.3-1ubuntu1 | 
| SHA-1 | 5A4C253A1AE28338A83F469E7191E45B926BCF48 | 
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| Key | Value | 
|---|---|
| FileSize | 128680 | 
| MD5 | 6EF0D9AE8126A137B2AAEB3ECEAE3BBA | 
| PackageDescription | Fast numerical array expression evaluator for Python and NumPy 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 Python 2 version of the package. | 
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> | 
| PackageName | python-numexpr | 
| PackageSection | python | 
| PackageVersion | 2.4.3-1ubuntu1 | 
| SHA-1 | C9BCA720C83E0CE45182C209D8E2C0FD82BEDD7D | 
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| FileSize | 110746 | 
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| PackageDescription | Fast numerical array expression evaluator for Python 3 and NumPy 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 package contains numexpr for Python 3. | 
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> | 
| PackageName | python3-numexpr | 
| PackageSection | python | 
| PackageVersion | 2.4.3-1ubuntu1 | 
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