Key | Value |
---|---|
MD5 | 41863A1B0F1062FD29DCC389587DDFF9 |
PackageArch | noarch |
PackageDescription | xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-xarray |
PackageRelease | lp152.3.4 |
PackageVersion | 0.11.3 |
SHA-1 | 359727C355E280DE1CDD0626736ECAB3204CAD4A |
SHA-256 | FE4F7F76C27A5F7D2517E6035E61864DE7A6F8C8FC4F5D88F05ADDD117BA671C |
hashlookup:children-total | 316 |
hashlookup:trust | 50 |
The searched file hash includes 316 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/tests/test_distributed.py |
FileSize | 7504 |
MD5 | 70418C9F4A52D8868925B21260D05DAE |
SHA-1 | 0151587AC5D4D785E552ABC7F76B5A9762A93B28 |
SHA-256 | 3E39D854ADC702FBDAF976BE2CCE0174C0A779A7A33AF2F385A64674659F8FE8 |
SSDEEP | 192:YSHDfLbLcLbPo87oMsk7oNJsfw6bVrPVrYj:ig8szksN+fw6a |
TLSH | T131F16430D25639708AC3A7FACB6B913761219A2B4A0561F1B1DCC4496F0D729F3BBB34 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/core/__pycache__/rolling.cpython-36.pyc |
FileSize | 14586 |
MD5 | 867D02A30E3C41E26100B2C64F7F6EA0 |
SHA-1 | 01DA36F0BC79C18D37BCF519E05B6AC55DB6BAFB |
SHA-256 | E93FB6A6AD669F7EA7035DBF25F12A219C43118983ACFF9851267486606D86D1 |
SSDEEP | 192:z6eA2GIGL1QyNpu1od6+81tT4pAJVodUPQ5+wpYeNpwpsw37e5gNG:Ge5w691lvocOVuBegs |
TLSH | T18062D7856D82CA30FDA1F0B9C9AF524AD235813B36A5B012B44D48E83F1799B5E7D3DC |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/coding/strings.py |
FileSize | 7642 |
MD5 | 89600052CE9B1D3CB616FEEB4BD20E10 |
SHA-1 | 0376E31F8D6509CE60FAB025628270484B56D491 |
SHA-256 | DCBB8EC284204F837352729349CEE1F1F2E0D844E8AF402C5C5421539D0C4C9E |
SSDEEP | 192:vRdkr6mfMvMlNl4atiU6krG4ydk+JpMLqZhGd8gFkpRVA:KfMmTiRmG4ydfgqiFcRVA |
TLSH | T192F15217DB06659D97C6955840D7EA09F26CBA0B070424FC7CAE77782F24329E1B4BDC |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/tests/test_duck_array_ops.py |
FileSize | 20914 |
MD5 | 307F4C08AC2D348C6D5D277FE8A2476D |
SHA-1 | 03F380176267AAE8C279DE9D5AFC6EFB58B0145C |
SHA-256 | A691BC90E4331BC8791C5BF0450D83F68C1E6BF9093E6E20104F0D762963603A |
SSDEEP | 384:mvNLcZNhNTEvEUV7NH2TdY246XhavuOTp/MCoN7SL+C1fS6hbfSI+:iNLcZNhNTIxoT22zXhamOtkCWK5FJE |
TLSH | T12892A406474A4178578395B9CAB6CD06EB21E917180820E5F4AE8A113F9C77DE33BFBD |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/tests/__pycache__/test_interp.cpython-36.opt-1.pyc |
FileSize | 16365 |
MD5 | CD42FD13620C38F1F3FD2E266A8151B1 |
SHA-1 | 041F892103C4C62FF1B24F8E9CB12A7140A53E45 |
SHA-256 | FA8F9808F7969C583623E16530BA5B2CF00B31548CF87C0A57E6A8119125CC20 |
SSDEEP | 384:PedUVJCV3NbSllbnPObsTTRHrZEtx+DJ2ylZ2j1:PX++PObsTlZ0x+wyP2j1 |
TLSH | T14872E69D21438A3EFE60F7F942E527242728D3E7A7C4D3AA4950C197EC822D41DA93CD |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/backends/h5netcdf_.py |
FileSize | 8140 |
MD5 | 212B09BE801B37F9FA005545780899D1 |
SHA-1 | 04CD497BD4FC939AEF8FFD5F8B1E77896B39D0EB |
SHA-256 | 0C91A4B425C165C825EB8B3B67F3A6B8A7116F50BC8D73E5AAE598CFAD1BFCFF |
SSDEEP | 96:jaNpYFcGt+0gLlGyJcW8lgCtUb+1lZCrOg0Xvn80jiNOoipFnt/hhvQHCvv9/NwO:qSnWlJmWnCib0Lk0u3iGuJHFH |
TLSH | T12FF1432B9751602597D7C4A80EDFE81A933D39136B0C29F8B9BC52611F15B28C5F4AFC |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/backends/__pycache__/rasterio_.cpython-36.pyc |
FileSize | 9871 |
MD5 | A06CC588B4AF27E051231A4CB71D10B0 |
SHA-1 | 0597924453ACDC748141AA48B9707736D16BB061 |
SHA-256 | B3D9FAE68B6C6552E1B37B56B7C6F1BEE1B5D2ABBA8E83CAD1C2A610DC15B9A3 |
SSDEEP | 192:dpuVoYUC6Zj6aFrs2WpZOWvtOVErrQ95o+55nH7iGN+tkGOjhWHUcKG4:buVoYlaPyeEPM5oMV+kjM0cKG4 |
TLSH | T168120A8017830627FC21F7BE819E8D61CF21657F234E31467B4C91662F096655E7F26C |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/tests/test_dataset.py |
FileSize | 184637 |
MD5 | A7B308CB9E29948ECFADEC9368DADD27 |
SHA-1 | 0672275855AD14B6BD3F243FA9CEA8A0FE82587C |
SHA-256 | B4F462DFAD7CCCA7B98F23B9205A73083A583EB7352FF589DFDF1DC4BC1ACAA4 |
SSDEEP | 3072:xhiPUByym/zjXb35sUauiRyUarcI7hhhVrdzarvKgyWolUP/L:PiPUByym/zjXb35sUauiRyUarlhhhVrQ |
TLSH | T16404860873AA0834239367BEC6BACC8D5262FA03448554E9B59C85817FCD23DF57B9F9 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/__pycache__/ufuncs.cpython-36.pyc |
FileSize | 3565 |
MD5 | 6A9CE7994758701B9F578D6794C23F46 |
SHA-1 | 06C5DC83250447B0E627B84468592EE6A17E14A2 |
SHA-256 | 300AF14942624BE5BFC3085AD719EA2335457FE40FA294A5B09604430D1B2E1F |
SSDEEP | 48:2tfsKxKI8w0hl2/WuuwXpi8jt6sXatFlRUh4oGT5uArxEYxw2bQCb:2KKxKW/1i4t6zt5Uh43LrxBgw |
TLSH | T1E171F9443A886135FE8DF1B8C01D1B4A063F733156DD607A7C2E871E5F4E94AEA258DC |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/xarray/coding/cftime_offsets.py |
FileSize | 26208 |
MD5 | 4CF815D346BBBC0050A347423DBF4B2A |
SHA-1 | 073597AEC832E45FC46A88117B12FA8981C1B58C |
SHA-256 | 1D7EE8946D4E225E86B26966094974D0D9CC3D441BE18B6298D2E837CBEC439A |
SSDEEP | 384:K7UrsErsjtjqAjb6ikbEYVm2DP6MWcm0pZVaYOXVRj7JWv8fc68ZNyT8WkqMNuXY:HnEjqCb6dVm2DhfmpZFRj7JWvaV2 |
TLSH | T173C28787AD03567183B3C62A88D7D283E739B82F4708752938EC60946F95F3691FD9D8 |