| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.10/site-packages/tables/tests/__pycache__/test_queries.cpython-310.opt-1.pyc |
| FileSize | 33421 |
| MD5 | 479D4090B3745A2501ADEE7CA28A8A8C |
| SHA-1 | 06AF58C848E892AC66D0A0D3ECBE110221B98E0B |
| SHA-256 | 6D5ADA953C358513B771939207F4FB7DDDD86CBE0FA2A516C494362BAADD7072 |
| SSDEEP | 768:AuQhEC9QN3+2mQb3XUc7QxKsfO/lM7lEk0vdsZAkNxWypGncU6ZXBje4/F69HR9g:APSN3SQjkc7LsfO/lM7+k0vdsZAkjWyz |
| TLSH | T176E2C5D879733F0BF620F5B2DCCA031356E254E51B868693B99983AD3B009F42D99C59 |
| 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 |
|---|---|
| MD5 | A0DBF63D32C9D033CEB0726A4CCA2D19 |
| PackageArch | i586 |
| PackageDescription | PyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used). |
| PackageMaintainer | umeabot <umeabot> |
| PackageName | python3-tables |
| PackageRelease | 4.mga9 |
| PackageVersion | 3.6.1 |
| SHA-1 | 8CDF8AED4224E5E4120C6984F76CCE9AD7AF328E |
| SHA-256 | AC735D50EDD77E30EAC94184726D9D95B4C75C118BD3EAC4A4FFFDE3817E9DD8 |
| Key | Value |
|---|---|
| MD5 | 151FF3A1C51A2A8B6A0227B3DFC74FA7 |
| PackageArch | armv7hl |
| PackageDescription | PyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used). |
| PackageMaintainer | umeabot <umeabot> |
| PackageName | python3-tables |
| PackageRelease | 4.mga9 |
| PackageVersion | 3.6.1 |
| SHA-1 | 105B39AC32E6FFA617693034F3874940EC0995B3 |
| SHA-256 | 9614726E99FF1946623377A8F087117D590807CDF24B0AF14BC77AD70A87C243 |