| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/xarray/tests/__pycache__/test_variable.cpython-38.opt-1.pyc |
| FileSize | 86517 |
| MD5 | 99FC125CA3D159DE6E4018AC79F44EB4 |
| SHA-1 | 01DC0D6921E2EE7E416B3ED5582C1ADCDAD1E247 |
| SHA-256 | 3CF5414D1D079E458520BEE693D7F46F7A0A58D92EBEBD1721C5B833436EA088 |
| SSDEEP | 1536:0YQIh92CjMWaZQWAU5mHkZXoYLv5NzWOKPqVq9IStYNT3Zzpf0W1ngpI7fXyw3C:0YrHkdo8Bq9IlN12Ib8 |
| TLSH | T15C83E8BC7073ED3BF905F1BD85AA0754963AE3AA13C5DA13E400CD9F7F942846D60A98 |
| hashlookup:parent-total | 4 |
| hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | AFF53BF356D7E3A892D934CD7CFD5E5C |
| 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 | python38-xarray |
| PackageRelease | 1.2 |
| PackageVersion | 0.20.2 |
| SHA-1 | 14314FAFEEC9FA9A0E1C1E0057B213B1A5624820 |
| SHA-256 | 1E78AC3AD75DE4F39B095F02C40D9A920ABD9732820B5A75B050FFC4F4C25C27 |
| Key | Value |
|---|---|
| MD5 | 17179A8C9618F74FBED3572C75F41B84 |
| 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. |
| PackageName | python38-xarray |
| PackageRelease | 62.3 |
| PackageVersion | 0.20.2 |
| SHA-1 | E2056A386532E1BC65DE3B4432C9C5D27A3982B8 |
| SHA-256 | B5841B48EE223B348C9B85B8DF844571897A9B27E3BE9C2448E3A05D769EE155 |
| Key | Value |
|---|---|
| MD5 | EC14C6FA9AD1908DE6A86BBC50012D52 |
| 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. |
| PackageName | python38-xarray |
| PackageRelease | 62.3 |
| PackageVersion | 0.20.2 |
| SHA-1 | 9658FB4B8CFDFD60C074CDBD5856319889B83685 |
| SHA-256 | 45471A4F0E33AF1B9004FF4A8D4FE1C03DDDF13A2EEC99E532ED5C5257CD4DBD |
| Key | Value |
|---|---|
| MD5 | 95FD1765FFB3445B7DB51DC1EF5FA336 |
| 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. |
| PackageName | python38-xarray |
| PackageRelease | 62.5 |
| PackageVersion | 0.20.2 |
| SHA-1 | B2E6131D997351E90EAFB70A44690D5E2845F690 |
| SHA-256 | 82C3CEE259CBC195C7643F7F003325ADE22E58A8B1BAF5417225B7D70AE7B9C7 |