Result for 07868F1216EDA1EFB329A4D6A28C2B04F1200869

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/healpy/__pycache__/projaxes.cpython-38.pyc
FileSize36229
MD5C2D1D59F3E55B957EFCAE85285D6536D
SHA-107868F1216EDA1EFB329A4D6A28C2B04F1200869
SHA-256BF5BF662E4993BE6615C730D1086A6F6931FE03634D362E872EB7736A2F7E63C
SSDEEP768:seKhZfulXfxG+mpuOg9hL9U8da3LAf7GiuieV3GOtzOG9tbVeXOLJJDmhc+RabN:seK7Cf4lg5hLoWuiO3ZUOL3
TLSHT15BF20A44BE544F57FC12F17A51EE06809634F33B620D992A748EA1163F91BC88EBE39C
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
MD5C4B8455F23DC5B880D5212751468ADDF
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
PackageNamepython38-healpy
PackageRelease8.27
PackageVersion1.15.0
SHA-1AB3F795298676F64A232A655DEC99CFFEC9105AA
SHA-256108BE264EA08E4079DEB147BD3C216F5B9A39CAE2B7BCBFCB37FAC0E0C32793F
Key Value
MD5B28CA195DDF11E07C4D8409B4F235B65
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
PackageNamepython38-healpy
PackageRelease1.5
PackageVersion1.15.0
SHA-12A33ADF593535D9B456558E0EAD3B1C80A29C076
SHA-25686393D9748DB913A061EABAB4ACFD4B162462CA01D72CA62BE2C7BC77A9B1824
Key Value
MD5C125B6C61CD1D1C967109B24E811C578
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
PackageNamepython38-healpy
PackageRelease8.14
PackageVersion1.15.0
SHA-116FC9DD8E70784FD76733B7CEC2400BE22E45391
SHA-256FD663BB6795A517260DDDA7A37ED143EE56AC8A88086BBBC2F9AA080D65B5E95