| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/glue/viewers/image/qt/tests/test_data_viewer.py |
| FileSize | 33931 |
| MD5 | C42471D91991697E136B1CC0A7A68278 |
| SHA-1 | 00CC289D94F7C3198303F966271C14A472642C25 |
| SHA-256 | 7AAB64321CD59A0A7AEA979E2C10C7CF8B08F3D9230FFA5521B4818EC0A39C4E |
| SSDEEP | 384:EFzPasTgq4g3DyHYXI9wx2qB/sWInHk8Vc20OW3ZflPuhuwXFcXuey0pbYmKsWta:pmInHktHe01 |
| TLSH | T1F1E2DF006026593D0DE7B53FB06E282356E5692BE5CE41E0B0FDA2853F48E5C31AFDB6 |
| 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 |