| Key | Value |
|---|---|
| CRC32 | 1F0DF3FA |
| FileName | ./usr/lib/python2.7/dist-packages/numexpr/utils.py |
| FileSize | 4881 |
| MD5 | 99EA1E065397CD326696842F6EAB0AF0 |
| OpSystemCode | {'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'} |
| ProductCode | {'ApplicationType': 'Server', 'Language': 'Multilanguage', 'MfgCode': '924', 'OpSystemCode': '599', 'ProductCode': '183706', 'ProductName': 'SUSE OpenStack Cloud x86_64 - 1 of 3', 'ProductVersion': '7'} |
| SHA-1 | 29A52219176D87D9F6981AE370C10F36C5E64349 |
| SHA-256 | AC864AF5E5EE64DC97044704DEE178D19925ADF67DBDEDA4CD4C673205314971 |
| SSDEEP | 96:2R0kM3qihTF3tLDUyTzM4JOLmg3dfGhCbr4NNc+pW5U:26kMRhdt3lMXmgN7HsOTU |
| SpecialCode | |
| TLSH | T13EA1821BD169A9A5C3C64E3549ABE1C3734B6A178F635438FEECD1501F0A83453F11AE |
| db | nsrl_modern_rds |
| insert-timestamp | 1646993840.2698145 |
| source | NSRL |
| tar:gname | bin |
| tar:uname | root |
| hashlookup:parent-total | 23 |
| hashlookup:trust | 100 |
The searched file hash is included in 23 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 2EE51B3589273C6CFF16199AF88784E6 |
| PackageArch | aarch64 |
| PackageDescription | The 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. |
| PackageMaintainer | Fedora Project |
| PackageName | python2-numexpr |
| PackageRelease | 1.fc24 |
| PackageVersion | 2.5 |
| SHA-1 | 0931DF6FB511D9DAD46DA0673215485CAD2302BB |
| SHA-256 | 3BE7B2211E143B8CAC1A7D0AE794A362F49C118CC137BB9098FB3C3DD646460A |
| Key | Value |
|---|---|
| MD5 | E4681D0DD2A31C7E1D3398D35646ECEE |
| PackageArch | aarch64 |
| PackageDescription | The 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. |
| PackageMaintainer | Fedora Project |
| PackageName | python2-numexpr |
| PackageRelease | 3.el7 |
| PackageVersion | 2.5.2 |
| SHA-1 | 17B66D6A240A4E9E7A614E6E0CCB74C5568DC084 |
| SHA-256 | F149D3DCB06DBF1DD338119FE81A1A187F9FCBED6EEAC8B08AC077E1286185BB |
| Key | Value |
|---|---|
| FileSize | 152960 |
| MD5 | 389988EACF189E1B97A4CB95D621CE04 |
| 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 | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-numexpr |
| PackageSection | python |
| PackageVersion | 2.6.1-4 |
| SHA-1 | 20920BC2ACE4F5E167863ACE72A5BC45D68193CD |
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| Key | Value |
|---|---|
| FileSize | 107476 |
| MD5 | F7729AABE8EE56902805F0BA6C5784B7 |
| 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 |
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| SHA-256 | 279431D8E6FCFC2710CD000E1FE01E91C4E084577CA1824E007A35D2B267A5CF |
| Key | Value |
|---|---|
| MD5 | 3F3B953F98FCFF52DA3FA78247D8A67C |
| PackageArch | ppc64le |
| PackageDescription | The 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. |
| PackageMaintainer | Fedora Project |
| PackageName | python2-numexpr |
| PackageRelease | 3.el7 |
| PackageVersion | 2.5.2 |
| SHA-1 | 4A3DB4A1B3B24CA8DA27978B6C7EBAD918336B09 |
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| Key | Value |
|---|---|
| FileSize | 122592 |
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| 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 |
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| Key | Value |
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| 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 | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-numexpr |
| PackageSection | python |
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| 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 | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-numexpr |
| PackageSection | python |
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| 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 | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-numexpr |
| PackageSection | python |
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|---|---|
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| PackageDescription | The 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. |
| PackageMaintainer | Fedora Project |
| PackageName | python2-numexpr |
| PackageRelease | 3.el7 |
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| SHA-1 | 7C75B5736A849F1F004A04FC64E9CFCD7224BB6F |
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