| Key | Value |
|---|---|
| FileSize | 433516 |
| MD5 | A1272C03E393991C51147281153D0D7A |
| PackageDescription | N-D labeled arrays and datasets in Python 3 xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. . It provides a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. . This package provides the Python 3 library |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python3-xarray |
| PackageSection | python |
| PackageVersion | 0.15.0-3ubuntu1 |
| SHA-1 | B62118B095C98A9068F4BBFD371FD7787B4E2B24 |
| SHA-256 | CB51DC276C34F96C2FF5E123B8237D6B51D8ADD2155665E73CF7E0F8EDB4346D |
| hashlookup:children-total | 129 |
| hashlookup:trust | 50 |
The searched file hash includes 129 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/plot/utils.py |
| FileSize | 24262 |
| MD5 | F2D1A10A29DB81B728F51BC97B591CE1 |
| SHA-1 | 0136009D8F0FC0324AB940353CD1C1B8473FB6C7 |
| SHA-256 | 91360845B64E6D79321AF3FA1BE07B38A738AB36A4FC03064F7CA314D3B02EA2 |
| SSDEEP | 384:SRCYDoVBSQx2ysCWNXALgAqkkfCKs9CMXwpQxg150bKqsCuNk:SRFDofx2sOX/Aqkkfe9pwmO0bHsCik |
| TLSH | T1B5B2950BD7411A7B874744B80ED7D4826774B9132A103BB83D8D9A993F83D3AD2B57AC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/core/accessor_dt.py |
| FileSize | 15951 |
| MD5 | E035E575515CF474210D832462E2C022 |
| SHA-1 | 0212A82C3F1DAC96B308DD6D319D64664B52112D |
| SHA-256 | 04655B1DFC1F14426B97F69D94FBEB2A8688A42B183FEB34991B99ABEF901071 |
| SSDEEP | 384:BnKUoDVjsGfGn38zZmk03LrsIRe6m82kanr:BnKUoDVjsGfGn38zZmR3Lz/Or |
| TLSH | T1FD626203FE40182AD743C63A4D997682AF50F40B57D02EE9B9CD16B91F1AC3DA27D26D |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/core/utils.py |
| FileSize | 20414 |
| MD5 | ADE5235A098EFF207F367BF284CC7B76 |
| SHA-1 | 0DC049C19E895E4A54CC2095AC8F9A8AAF5F4B33 |
| SHA-256 | BDA66020D5BEEC176CAB46B66FED8E16B8A9AFF567CD54CD70FE2E38887279B4 |
| SSDEEP | 192:xZ1kYjVMwREyTyfuI6UIklq+W+uri4RPWjPWjfli/m95TzVu7GIUqvchRNouRTtN:P/aSEv4UpUBOHQveItvBvy5p9OJBWTD6 |
| TLSH | T11692C713FD31B976CA57C53E1856E443E718790366093470B8ACA5A83F67928C3F9AEC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/core/combine.py |
| FileSize | 36574 |
| MD5 | C75CEFE4884AB6E8E3A67D0F4A417E40 |
| SHA-1 | 13439608321105C8559DF1947F431CFB3DBC047A |
| SHA-256 | 46601E445334B5FFF036BF223F0A3454F4422CB477E9A4834AE20E026ED70C31 |
| SSDEEP | 384:9DYVPJJpHpF+dYO52Mg1BHq3+20Lz1G6mtBfD8:98PJJBpRO55g1A3kz1G6mtBfD8 |
| TLSH | T1C9F296667610663405C650F48E8FE64ABB20F21726107C24F98DC6743F5AD39E3BBABD |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/tests/test_testing.py |
| FileSize | 156 |
| MD5 | 7084B8BCF2D1C47940C72ADEECA543F9 |
| SHA-1 | 1557FC2610054CF5CB7A3EDC3C03B64ADE2763FD |
| SHA-256 | 1B5DAC1FE4A72908F663FA1C293BCA625E0BFBF383C7CF4BFCFF02D542076CF2 |
| SSDEEP | 3:JSSk0NdvkFhoK+ANeNdi+ikHEFLVUK/FxuikHEFLVXeFbmLLI/WAB6pKj4uS4Xn:iPvNe6+ikmUK/FoikmOIQE84uBXn |
| TLSH | T1F0C08C41808E0B3247D3E0C8A808F904277319511C966864735E59588B2FC59333670C |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/tests/test_ufuncs.py |
| FileSize | 6135 |
| MD5 | 476FB21F5285748873112F79529DF737 |
| SHA-1 | 157514DD4A7994622F489E5C922C3CFCE07E6981 |
| SHA-256 | 9B6DF9A683C6DA867ADF07E41C35E05CCCD161BB858849743CDC99FE1F960671 |
| SSDEEP | 96:+3IOSMRoMRqWa8e4h8B+eQVMBPmBhxF0Th5sBwJ+6t:+4OSMRoMRq58eO8hQVMBOB2fT |
| TLSH | T167C1410386EA1D2087C736FD887B88081B353F5348C519A9B55D9A82DFADD3E727257C |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/tests/data/example.grib |
| FileSize | 5232 |
| MD5 | 1FF2FC6FF6FDDEC573DA954EC2241937 |
| SHA-1 | 1748E24FB31BF57848D5AB2AA27749F557943CB8 |
| SHA-256 | 902BF30A5065F3FAFF1B9361CE9778667FA1681FEB74D343D4F17AAE498AB26D |
| SHA-512 | 421F1DB9707C28D6A6DF24C9CAD7F8C63F2BB8111C4E19434C847643025A333DB277CECF3F919630E9C4C621E117F4FE41C1D54F6C7E5B7F9D3472EA6EF42282 |
| SSDEEP | 48:+7++uSMC+0+KXP+t3xio+R2Ay+eAak6+1bEh+ytaxK+4:edQyWthgbNLd4 |
| TLSH | T1C1B1C08D3A91CB14E8D6D6724CD7E3501A36BDD39A96430BB0CBB33F2DF6229794A105 |
| insert-timestamp | 1721650363.6280398 |
| mimetype | application/octet-stream |
| source | snap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_31 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/backends/pseudonetcdf_.py |
| FileSize | 2716 |
| MD5 | D8153D05486399DA43056E1C016105C1 |
| SHA-1 | 179FCB015E2AAFC81E7E6EF30F0C5E9FD3693EB0 |
| SHA-256 | 6991B1E7C890349C9D2C1B2962DD42C1C732B7CFF91A249C624A5459FF85F780 |
| SSDEEP | 48:q8akWgOZujs6HGHgncHCWlfXcHyQUzlgLeHHAxecjoXJTDIBmWN:mXRAY6Bci8/cSRlgLeHGecjO1WN |
| TLSH | T1E151015BA7772421D6EBD4A64CCEE447F32E7D53160C106079FD57282F5982882D8EEC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/tests/test_print_versions.py |
| FileSize | 156 |
| MD5 | 9B1A10954A76F9271362B227A1AABF38 |
| SHA-1 | 184D6EECE91AE5DE24B87DBA1CBDDB39892CC768 |
| SHA-256 | FC981F8B808A97013FB31FC6FE3E03CCB893AECA705B3281B2785EB10E748413 |
| SSDEEP | 3:JSnvMykwUhAyLkfDi52XKCs2MvH6KKULAu/RYS5aJu:qvb0Ayo+5wKv2u7cueS59 |
| TLSH | T16BC08C86AC186838918A0379C0B8A801FB34CC4B0F0917A0E96E6A224F508A6062692C |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/xarray/tests/test_cftime_offsets.py |
| FileSize | 35839 |
| MD5 | D76C9483AF4FA728546240E9EABB67B2 |
| SHA-1 | 1863E8A42EF5CB723B6227421908634E7BA1CE32 |
| SHA-256 | CFC515E733B6962EC2C47AAAF5F0389A65AAFA404F7C99E71D15DB5D5C5A8D57 |
| SSDEEP | 768:QxlvvuBeehtlRLVC45mCG7HHYCASRHy533PfIhcyVovbEDnBUyOzYwLfecIeaVMc:UlvvuBeehtlRLVC45mCG7HHYCASRHy5W |
| TLSH | T1F2F29D438906452E63A3F068445BAE43FA24D43F1D5CBE923ABC22515FCDD2CC77AE99 |