| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.6/site-packages/joblib/__pycache__/_memmapping_reducer.cpython-36.pyc |
| FileSize | 10087 |
| MD5 | 2F66F0FDE00FECB8438ACD42292E9D1A |
| SHA-1 | 09F6487478592BB5526EB39E5ED7FACCCCA344EE |
| SHA-256 | 2B37A7FF115FE85AB2934E567DB6F804D9F0466A53CA12AA7CBEC2ABC3EC6302 |
| SSDEEP | 192:oLka1vIxmrzS6M134fR+YgacThNaN8f/YxeMJbQU+b1xbUpljLAhqwIym7/mEAXo:olrzS6MctA06KQTpxbUpljLGqwsC/Xo |
| TLSH | T17E22C58B1E670D7AFCD2F779A10441A08B399727B7C85672300C95682F065E82EBDBDC |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | AEE91496C3FF3AB0694F0FB74D370425 |
| PackageArch | noarch |
| PackageDescription | Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: 1. transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) 2. parallel computing 3. logging and tracing of the execution Joblib can handle large data and has specific optimizations for `numpy` arrays. |
| PackageName | python3-joblib |
| PackageRelease | lp150.3.1 |
| PackageVersion | 0.13.2 |
| SHA-1 | 0744E4155B2E95F8AF70CE97E6EE56745D5D0450 |
| SHA-256 | FCE10A8126F1DE9CBAD14EADC3F2B4D64CB61942EA2927D2B38001DF7C6889BC |