Parents (Total: 12)

The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	C4708D75EE011515290068B8AD18A301
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 3.
PackageMaintainer	Fedora Project
PackageName	python36-numexpr
PackageRelease	3.el7
PackageVersion	2.5.2
SHA-1	3363B68E4A7FAFA00E985938B8980F8DC6EEFAD4
SHA-256	E85052D46611BCBE14E2BDAB86C02A59DABB56A6B085C8464099424EED7AFF89

Key	Value
MD5	4B697FAAC9FAC9CA27DB3285EFD9A5E7
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 3.
PackageMaintainer	Fedora Project
PackageName	python36-numexpr
PackageRelease	3.el7
PackageVersion	2.5.2
SHA-1	560FD406148635F1F5DD4CB2F1C553F1EE7E7735
SHA-256	BE7CE46AB98CFCCAF6CE6EA224E8631FC667D480FC6BA37E577B153810F1A6FB

Key	Value
MD5	3FCB3C90D5565C9F7EC2B7D66D9A7ADB
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 3.
PackageMaintainer	Fedora Project
PackageName	python36-numexpr
PackageRelease	3.el7
PackageVersion	2.5.2
SHA-1	98DD514C26826BF746CAFC14B01C5EC5CBA0656B
SHA-256	67A2615433180A32539BC3692212A86422A30B975E7D778D3BB56860BCA8B58A

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	45CF24466D2B115F0D351E51F37F4BAF
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 3.
PackageMaintainer	Fedora Project
PackageName	python3-numexpr
PackageRelease	1.fc24
PackageVersion	2.5
SHA-1	2219A5FF4504D8013F73A1D521C5F934B2264206
SHA-256	954539572C03A3B30D55DC392CA8890022C09618BAC1D1E2F9916A17DD7A238E

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	78079B5ED7FCC5A8C6237AF5241F8C28
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 3.
PackageMaintainer	Fedora Project
PackageName	python3-numexpr
PackageRelease	1.fc24
PackageVersion	2.5
SHA-1	7EDBEF4ED9F361DB10C7E59166F60E04028AD6F6
SHA-256	8EA838661BAC7EC02AF3088802EA3449BAEC5B1BAF0F7E8180CDEA8DB155971E

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	108567E04D2496F43A263CC08FB470BD
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 3.
PackageMaintainer	Fedora Project
PackageName	python36-numexpr
PackageRelease	3.el7
PackageVersion	2.5.2
SHA-1	48FE04C9A2DB93ADAEB99491B44FFDBD69C199BA
SHA-256	6FF2907C4028EF8CFB82654A0F70679C59DFE09207E5AF6D4A015ABC69FA44B2

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