Result for 03D629F86DF9A546059896A39E7DA145206F3947

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/healpy/__pycache__/newvisufunc.cpython-39.pyc
FileSize12559
MD5E9C5B76C4820A7BEECA9AA1F8C137054
SHA-103D629F86DF9A546059896A39E7DA145206F3947
SHA-256F1EC5134FF22A342E79E54C8E2491D93947CDCF745CC26CFD50A58A383D1B5C5
SSDEEP192:RBbsXWKY9RRc85JdgqmuCnEUNjreITfQESkGmUPndEBvn4q4gX9AX2gN5+UcZeD:RBQVYiiJdiu+EJIrgZEBvFX6X28+UvD
TLSHT14342F902F341E3A3FBA2F1B8914E4218C270893B5B45511AF65EC6551F89ADC46FEBCB
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD51837D914B7C960423CF311325D4DDF14
PackageArchx86_64
PackageDescriptionhealpy is a Python package to handle pixelated data on the sphere. It is based on the Hierarchical Equal Area isoLatitude Pixelization (HEALPix) scheme and bundles the HEALPix C++ library. healpy provides utilities to: * convert between sky coordinates and pixel indices in HEALPix nested and ring schemes * find pixels within a disk, a polygon or a strip in the sky * apply coordinate transformations between Galactic, Ecliptic and Equatorial reference frames * apply custom rotations either to vectors or full maps * read and write HEALPix maps to disk in FITS format * upgrade and downgrade the resolution of existing HEALPix maps * visualize maps in Mollweide, Gnomonic and Cartographic projections * transform maps to Spherical Harmonics space and back using multi-threaded C++ routines * compute Auto and Cross Power Spectra from maps and create map realizations from spectra
PackageNamepython39-healpy
PackageRelease8.27
PackageVersion1.15.0
SHA-1E1C600D05B6FF618CE6D7617505634028ABA5625
SHA-2563029C49C8E963BFEDD5DFAECDABF1F3EC4DB8F58AB71986F536A751571AFF85F
Key Value
MD5FAEC0D0690780972334AC87932C13B1E
PackageArchx86_64
PackageDescriptionhealpy is a Python package to handle pixelated data on the sphere. It is based on the Hierarchical Equal Area isoLatitude Pixelization (HEALPix) scheme and bundles the HEALPix C++ library. healpy provides utilities to: * convert between sky coordinates and pixel indices in HEALPix nested and ring schemes * find pixels within a disk, a polygon or a strip in the sky * apply coordinate transformations between Galactic, Ecliptic and Equatorial reference frames * apply custom rotations either to vectors or full maps * read and write HEALPix maps to disk in FITS format * upgrade and downgrade the resolution of existing HEALPix maps * visualize maps in Mollweide, Gnomonic and Cartographic projections * transform maps to Spherical Harmonics space and back using multi-threaded C++ routines * compute Auto and Cross Power Spectra from maps and create map realizations from spectra
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython39-healpy
PackageRelease1.5
PackageVersion1.15.0
SHA-143E74848E2886EB181F3685F2E5097AE438D93DD
SHA-25670EF92BC670A83000A4DB889C032312D32BB753DADC9AC236719A9500361786E
Key Value
MD5B55EF88455E5113A457495C457A2F606
PackageArchs390x
PackageDescriptionhealpy is a Python package to handle pixelated data on the sphere. It is based on the Hierarchical Equal Area isoLatitude Pixelization (HEALPix) scheme and bundles the HEALPix C++ library. healpy provides utilities to: * convert between sky coordinates and pixel indices in HEALPix nested and ring schemes * find pixels within a disk, a polygon or a strip in the sky * apply coordinate transformations between Galactic, Ecliptic and Equatorial reference frames * apply custom rotations either to vectors or full maps * read and write HEALPix maps to disk in FITS format * upgrade and downgrade the resolution of existing HEALPix maps * visualize maps in Mollweide, Gnomonic and Cartographic projections * transform maps to Spherical Harmonics space and back using multi-threaded C++ routines * compute Auto and Cross Power Spectra from maps and create map realizations from spectra
PackageNamepython39-healpy
PackageRelease8.14
PackageVersion1.15.0
SHA-1C2693E89022D289C0BBC897090D01219BA81A5EB
SHA-25627D81D8D3D80ECE3C2BF0DD8E24D1DAEA05D83180F5025FCEBF3A0A3A9EE1917