| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/joblib/externals/cloudpickle/__pycache__/cloudpickle.cpython-38.opt-1.pyc |
| FileSize | 25790 |
| MD5 | 87D3787F8AFD49E6E12BE7EE82761746 |
| SHA-1 | 0323932E3B0145C61F7FF8E57EACE8C37CFEC36E |
| SHA-256 | 8B9EFB408D3D1668F18BDA95F26E9A1128DF6712A1D2A0910596412D7F65A415 |
| SSDEEP | 384:ffjrs6rsK16jCyTzQ1AeAcWf06ozf7Zsnya0Af/9/j0KZL6XXqnTLu78HXzBKWO:Dt16jCyTxDc6htN/EXXqPv3zsD |
| TLSH | T197C2F88662406BB3FFAAF4F4D04F6254B721A37B63184293320DE18D0F85A9C55F799D |
| hashlookup:parent-total | 7 |
| hashlookup:trust | 85 |
The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | FEA5FFC816FAE6B283D655324732C1C9 |
| 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 | python38-joblib |
| PackageRelease | 47.4 |
| PackageVersion | 1.1.0 |
| SHA-1 | 696EDAF3CB785E8CDCC3EAED1EA1000EB5682EA8 |
| SHA-256 | AEB27F5A31F862158FA2CDBA5E56D845C670812F4D4CFD55B1ABA9A2A2CD57E0 |
| Key | Value |
|---|---|
| MD5 | CF19860A2691086994023DE3FF20948A |
| 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 | python38-joblib |
| PackageRelease | 47.22 |
| PackageVersion | 1.1.0 |
| SHA-1 | 83605C0F1456F2C4E0E5D0F05F76A3641B5C7CA6 |
| SHA-256 | BB0CB6887E3EB56452B1DFEFCEDE2DC954D874DB4D0734339463783AD17515F7 |
| Key | Value |
|---|---|
| MD5 | 2591DE615341DE55B0BF10D053DD3064 |
| 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. |
| PackageMaintainer | https://bugs.opensuse.org |
| PackageName | python38-joblib |
| PackageRelease | 1.3 |
| PackageVersion | 1.1.0 |
| SHA-1 | 012BB971C7C22F6C6F18A8E03EB523B9F482A4E0 |
| SHA-256 | 2A4821842E3B8E92A139BA62BBC59F7BBB2020DE16C46E9ED0CA11CCAF78E13C |
| Key | Value |
|---|---|
| MD5 | 3D9168F133A7BDD8C73C646756B6C3FB |
| 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 | python38-joblib |
| PackageRelease | 47.21 |
| PackageVersion | 1.1.0 |
| SHA-1 | E16AC1422D5C820C8ACC160C32DCFEE0B107DFA5 |
| SHA-256 | ED6234D3128555B24EC41E6DCC0D0ED4BB2DB131D4BEAEDA1247447B4B09F5BA |
| Key | Value |
|---|---|
| MD5 | 3F8F5A833AF82D7EA9A1D56633F443F3 |
| 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 | python38-joblib |
| PackageRelease | 47.7 |
| PackageVersion | 1.1.0 |
| SHA-1 | 3D5FA39FE982935A335C3BC418CFF59EAD0C5F0E |
| SHA-256 | A07C59E53BA4282A72F9CD7C4E29C33A728A508FB6F1C8370A9AA12690801551 |
| Key | Value |
|---|---|
| MD5 | 568636889C185C6A9B4D12DE70531552 |
| 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 | python38-joblib |
| PackageRelease | 47.14 |
| PackageVersion | 1.1.0 |
| SHA-1 | F429C1B90A327512462B38785419676661809C61 |
| SHA-256 | 564A89E542FF0A87197B0DD81968E90567799D7F6D30209DAAC4052E0B987D18 |
| Key | Value |
|---|---|
| MD5 | 41441B94BB3A0380D5C6DD5BE1901F95 |
| 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 | python38-joblib |
| PackageRelease | 47.3 |
| PackageVersion | 1.1.0 |
| SHA-1 | 9D4FF30DAACBCACF9B1EE1B74CE333202840C42B |
| SHA-256 | 027F14E551A105A67CCC98B5B49F4E539C70213F9AFEAD3FEDE3A1EE499E9168 |