| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/glue/plugins/tools/spectrum_tool/qt/spectrum_fit_panel.ui |
| FileSize | 4562 |
| MD5 | EFA1FB9E662A2B648DA8EBE47758FF2E |
| SHA-1 | 0505484D86B9CB4ACCCE9C5313D5C50CF6599CA2 |
| SHA-256 | 7F435931F2BE10760A8EB08B6167E455ABD3DD412B07A6E1A263B70310E70F87 |
| SSDEEP | 48:ctXSAL+B1dJLLfJa+ikaNgBK6Hxt4ENB5Z2vcgBk6Hx2cENB5Zhz4VeLgJa8nL9n:EgB1d1JJHDTNGHON4 |
| TLSH | T1DA91F872F3F49D6A20C260A1CF11B526DE98106BDAB864843FDE6326DF46CC6457724F |
| 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 | 365034 |
| MD5 | 9970AAEF3D69F4B487FFB453B630E30D |
| 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 | 0.9.1+dfsg-1 |
| SHA-1 | 308B3DDEF746E34037421C5CD61EE3FD6EFD36AB |
| SHA-256 | 4656202AA66F30C5F547042AF3D455615FE46EC99AF76C875CB350A7785677DB |
| Key | Value |
|---|---|
| FileSize | 356542 |
| MD5 | 3947752CFE9F8E78DE29702BA9AED26C |
| 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 | 0.9.1+dfsg-1 |
| SHA-1 | 5E1D02BE39B640956735D7CE6BEE6F2DD2A9E91D |
| SHA-256 | E0D4EE7791C7918E0A7E3BAC592AAC5A101E63134AA7C4190399DDA9B97A46A0 |