Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/numexpr/cpuinfo.py |
FileSize | 23664 |
MD5 | 6575278FDE3A3D30F3E8B5DFAAEAEB6E |
SHA-1 | 1B7FA8E28E2D263DCA77B44C141C58AA93DEF25B |
SHA-256 | 737F83F5E27D5020259AE88FF15F83E2AF0C1896C41C81C0FC0A67803DA1F0EC |
SSDEEP | 384:+0NVZfTDtivXabvtKm+sp6n6Ikr8qKq40abl:+UJDtivXabvtDaqa |
TLSH | T129B2ABA67A82E0A2BB4BD56B9057EC43B31D3C53181CF52AB5BCA4F56F20169D1F4CE0 |
hashlookup:parent-total | 6 |
hashlookup:trust | 80 |
The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:
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 |
---|---|
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 | 729E60C8149F0AC398980652785344C6 |
PackageArch | ppc64 |
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 | AFC658B2E767D9D6309430772BB54748C72FAE08 |
SHA-256 | 213D8881913067B01BBA31EDDCCD2E210B3AA7A9152825FB2A1BA663087C6517 |
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 |
SHA-256 | C599DBBF4CDA831EF4037740D72A8AA926CF58101A7B6487AB3B81032F462502 |
Key | Value |
---|---|
MD5 | 4BC88450F26C5AB6844E34D653A087B1 |
PackageArch | x86_64 |
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 | A766C5309762F0A83C97A3A3613FBF1A566723E6 |
SHA-256 | 628EC298C792D9546534BB2001C07B5301FDAAC64F0EA617BEFDE6B03BEBE7B7 |
Key | Value |
---|---|
MD5 | 65BF036A0A35D0FF17B90A92CF156872 |
PackageArch | ppc64 |
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 | 7C75B5736A849F1F004A04FC64E9CFCD7224BB6F |
SHA-256 | 03126FB8866C6113E0823F7FD6BAC38568EDCC7BC75A55A68EC90462F04F9B9F |