| Key | Value |
|---|---|
| FileSize | 340764 |
| MD5 | 68A5412EFD89BDA5FF4FC90515E3DA07 |
| PackageDescription | N-D labeled arrays and datasets in Python 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 2 library |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-xarray |
| PackageSection | python |
| PackageVersion | 0.11.3-2 |
| SHA-1 | F940CDAB72737D7B7F5F64EA773ACED68FF2E001 |
| SHA-256 | CF392A551CE009D1121477D3F31B1359D808ABADA22248BCAD20B5D9A662FA2D |
| hashlookup:children-total | 112 |
| hashlookup:trust | 50 |
The searched file hash includes 112 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/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/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/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/coding/cftime_offsets.py |
| FileSize | 26208 |
| MD5 | 4CF815D346BBBC0050A347423DBF4B2A |
| SHA-1 | 073597AEC832E45FC46A88117B12FA8981C1B58C |
| SHA-256 | 1D7EE8946D4E225E86B26966094974D0D9CC3D441BE18B6298D2E837CBEC439A |
| SSDEEP | 384:K7UrsErsjtjqAjb6ikbEYVm2DP6MWcm0pZVaYOXVRj7JWv8fc68ZNyT8WkqMNuXY:HnEjqCb6dVm2DhfmpZFRj7JWvaV2 |
| TLSH | T173C28787AD03567183B3C62A88D7D283E739B82F4708752938EC60946F95F3691FD9D8 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.6/site-packages/xarray/tests/test_extensions.py |
| FileSize | 2702 |
| MD5 | FA6352B13844D43036FE64E4F2416F77 |
| SHA-1 | 08AAEF858A03A840470687DA223B8D1A943EDAA1 |
| SHA-256 | B6009135960F90ECF54ACF6CE09A474F97D338A140112CCC6F28EFC266034938 |
| SSDEEP | 48:P9G//1C/4hMSWE/1x/HC2BZnX6w4zwKbq/XcQugf2qtzj+WQ/10ZB64:QgAhMSZ/vbnCw975f2qtmWQA64 |
| TLSH | T1A5511D16BB629936CA1363FE481ED605B722AF4303941A9873DE95D8BF09CADF1C3030 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.6/site-packages/xarray/core/rolling.py |
| FileSize | 16252 |
| MD5 | D203A5B01FDF61E701D835522CEBDA5F |
| SHA-1 | 0DB6526CAEF2CBC2AC53149C77F0C60A5E001198 |
| SHA-256 | DE951AF49994B8483D23EE0F27F8EE7A4B2A71124238C766A8D723F03020A655 |
| SSDEEP | 192:bhq7AkIdzKELHNpf6+816pu817Gt3XwpUSxp897e9/V:twMeERAzI/V |
| TLSH | T1227244035A529D3015E3D83DCADFB70BE326493735683074BCAD49643F2596BD26AACC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.6/site-packages/xarray/core/combine.py |
| FileSize | 26310 |
| MD5 | 7806731825C1B5BB0D119DCE7CFC6E29 |
| SHA-1 | 0E017692F16A8DB6673E9C679F3FD22DC6406415 |
| SHA-256 | 73C40143BB0616BB34180684155D696BFBAA68EDD0087171CBF47DAD75825403 |
| SSDEEP | 384:+9RjWxj4C+nM2UnjERN/u9y0FmqD/QnfQDuxjTM+l:+XtPM2c8Nmw04eiMST1l |
| TLSH | T1C8C274126651553556CAA0EC4A8FD38EA320F71722107C34BC4DC6653F5AD34E2BFABE |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.6/site-packages/xarray/tests/test_tutorial.py |
| FileSize | 1085 |
| MD5 | 3FE60EE918CF4103BAC85D91FF42AF3A |
| SHA-1 | 10808507B7C6E2EFF245DEE0CB86B07F4C7ABEC5 |
| SHA-256 | 52E0104F2254139ABBD582C4F34CC967F48F021D211C9F2823D15D659A2AB276 |
| SSDEEP | 24:1R2ln6XRvuU2rhAO+NX1I1CdRyQUUqTGNosUvaq:PCn2RvuphqNXG25Rlrq |
| TLSH | T19911929D97BBCC20C24370D6810F50971936F5670B4990AD71AC17D0FFA50A9F5A6CB9 |