| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.6/site-packages/xarray/coding/__pycache__/strings.cpython-36.pyc |
| FileSize | 7879 |
| MD5 | 63E32F92D13A78F2CF6913EE1E67A4E7 |
| SHA-1 | 007B215ED0C54465ACFF44D45554ACDEAFF405A2 |
| SHA-256 | FC0C8C10654B41138EAEC92F45FB74E239AA531CE6704E434B8DFD7938B1E650 |
| SSDEEP | 96:8EUzjngM1We3V9BiEijvDGUEdXY+i2fn7y3bY42npuggN347jReLbNTJ7Ji79Sbx:u3FV9BiD8TZ7y3MqgeR3ikq+y3jm |
| TLSH | T11BF1A88A3F821DAAFFA0F2FC80D74210A31DD36373C5617F7826516A2E492951E35B9C |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 562B6604B370C9D4502F62C3451D3FCB |
| 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 | python3-xarray |
| PackageRelease | lp150.2.2 |
| PackageVersion | 0.14.1 |
| SHA-1 | CDA403734CA473BE48D205583D0DD073FC1B485F |
| SHA-256 | 12BEC829E15BCC9490CBDD94358CE20B35484D75578FD8C8AAD83751163AA6A9 |