| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.9/site-packages/pandas/tests/indexing/__pycache__/test_partial.cpython-39.opt-1.pyc |
| FileSize | 16746 |
| MD5 | 13D5B03C8226B677DE327B9715E354B2 |
| SHA-1 | 0015C7A45C64E1274670A856735DD05E1D8EAE09 |
| SHA-256 | CE427D3896F13A94FF59EBDCD315C859F8EBB15C1B5203D4323596497AC1367A |
| SSDEEP | 384:AxSKlNZ6DaejLeJrmq+qC4rubFx3Tiya/8FeDkqZk/Rv:AxSKlNZ6tWrmVqCkupx3Tiya/8qlov |
| TLSH | T1DE72B69B209A2F4FFF01F57B90A71B15E55D81ADA6C6D4D1C508F28F5CB09C42AB92CC |
| hashlookup:parent-total | 3 |
| hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | F9CECA69758ABD8D3F5584B4BC65F15B |
| PackageArch | armv7hl |
| PackageDescription | Pandas is a Python package providing data structures designed for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data. It is a high-level building block for doing data analysis in Python. |
| PackageName | python39-pandas |
| PackageRelease | 67.4 |
| PackageVersion | 1.3.5 |
| SHA-1 | 492E762D15D46E97FA294512D498A8234C052C3B |
| SHA-256 | E9E1AE4F2C23076CB4D249BE78FA17994B4E387D665BBD1E666438170D1745B9 |
| Key | Value |
|---|---|
| MD5 | 49E1A2242C1977576DA0EDD25BFC1D6F |
| PackageArch | i586 |
| PackageDescription | Pandas is a Python package providing data structures designed for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data. It is a high-level building block for doing data analysis in Python. |
| PackageMaintainer | https://bugs.opensuse.org |
| PackageName | python39-pandas |
| PackageRelease | 1.1 |
| PackageVersion | 1.3.5 |
| SHA-1 | 5932EAFAA45DC01764C5DBCCE2C514E8FCFA55A3 |
| SHA-256 | FF57F9E5981A3B1C18C310C096C048B2E55D724036AD1BCC68C55E113ECB19C9 |
| Key | Value |
|---|---|
| MD5 | 58DEEE0A1B7AC2A95BEE07F7FFF82FED |
| PackageArch | i586 |
| PackageDescription | Pandas is a Python package providing data structures designed for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data. It is a high-level building block for doing data analysis in Python. |
| PackageName | python39-pandas |
| PackageRelease | 67.6 |
| PackageVersion | 1.3.5 |
| SHA-1 | 1659CE47B0E9FC55D334D25997942953AA293B45 |
| SHA-256 | 6C080612F5EBE3C7E09B1875ADE4C412F520BC4F6A9238C0FB752D53E772DC35 |