| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/glue/core/data_factories/tests/test_data_factories.py |
| FileSize | 9757 |
| MD5 | 12379900EAA31F12918DBE4748316831 |
| SHA-1 | 02454530EF585929682A1EB4C25E57AC225B8421 |
| SHA-256 | D94F3D0DCDEE5C661F6F327BBA1C6ACAE67A87674FE4AF7CF51A83A4BD575F6E |
| SSDEEP | 192:k99ujAjtV91tVinAcdnO/nTcOmVHqsTmGo5hThaIJhtqfLyW:kajSJ1WA8O/TcOmVHqsTmGo5hT4g4yW |
| TLSH | T1A8129245A29F6824F263F17AC97DC406768AF91B160451A579FDD8C0AF08335F0A3BBC |
| hashlookup:parent-total | 2 |
| hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 430740 |
| MD5 | 5FDE944E8ED7E41AF851E9FFF5A3903D |
| PackageDescription | Python 3 library for data interaction python3-glue is a Python library for data interaction, it blurs the boundary between GUI-centric and code-centric data exploration. There are many ways to leverage Glue from Python. Among other things, you can write code to do the following: . * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for exploration. * Write startup scripts that automatically load and clean data, before starting Glue. * Write custom functions to parse files, and plug these functions into the Glue GUI. * Write custom functions to link datasets, and plug these into the Glue GUI. * Create your own visualization modules. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python3-glue |
| PackageSection | python |
| PackageVersion | 1.0.1+dfsg-1 |
| SHA-1 | 50E33154D605FACFE56E3605CCA759A6F14B43AB |
| SHA-256 | 56383625F24FC48F042C97D4E74779F8856C87129D073CD3358426F0FC74C6BC |
| Key | Value |
|---|---|
| FileSize | 451544 |
| MD5 | 525A7DF769AE07FCF5579412F53137C4 |
| PackageDescription | Python 3 library for data interaction python3-glue is a Python library for data interaction, it blurs the boundary between GUI-centric and code-centric data exploration. There are many ways to leverage Glue from Python. Among other things, you can write code to do the following: . * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for exploration. * Write startup scripts that automatically load and clean data, before starting Glue. * Write custom functions to parse files, and plug these functions into the Glue GUI. * Write custom functions to link datasets, and plug these into the Glue GUI. * Create your own visualization modules. |
| PackageMaintainer | Debian Astronomy Maintainers <debian-astro-maintainers@lists.alioth.debian.org> |
| PackageName | python3-glue |
| PackageSection | python |
| PackageVersion | 1.0.1+dfsg-1 |
| SHA-1 | F66525CEA28A2004B043CEFB97094EC5510B26E0 |
| SHA-256 | 95C70C56AE28E14AD94B0BBBEEB77FB2BF61156B6C47732CD31E6BAB1C8A7329 |