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| hashlookup:parent-total | 25 | 
| hashlookup:trust | 100 | 
The searched file hash is included in 25 parent files which include package known and seen by metalookup. A sample is included below:
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| FileSize | 132332 | 
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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 | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> | 
| PackageName | python3-numexpr | 
| PackageSection | python | 
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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 | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> | 
| PackageName | python3-numexpr | 
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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 3. | 
| PackageMaintainer | Fedora Project | 
| PackageName | python3-numexpr | 
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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 3. | 
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