Result for 01EFDD4EF5D88F6BCAB9ED2FF76875924D64CDA5

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/healpy/test/__pycache__/test_pixelweights.cpython-39.opt-1.pyc
FileSize1858
MD5B2CD626EE584AB2CFDC6CF8C9BFDC067
SHA-101EFDD4EF5D88F6BCAB9ED2FF76875924D64CDA5
SHA-2560BDE4EED726006A4FB70D8531E7F58221040DE3693A1B249F2B8E44AD413310A
SSDEEP48:T3OG4hOa/hunXpHqj7abG8Dv4jpH+a+7LaMEsaN:reJapHqj7ApDQpHF+bW
TLSHT13B3154DFB1026DC4FA40F17F445B1B2B5162B2B87F8AE8097F10422A2C24255B8E7C4C
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