Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/joblib/memory.py |
FileSize | 40815 |
MD5 | A0FE88C8794AB1538AC73A7E89162A7D |
SHA-1 | 300886F98B9D2BA543EE5D04A951FBED1BEC124F |
SHA-256 | 2716CC1D210EB8DD212A664454411A1A00D1C1CCB5DCDEC97C586722B79D7035 |
SHA-512 | 5F0B167DCE367CDE520E0CD75B6BCDDF16C1244995C6922F47843701C092B87E45F7DD57E1135B0CF060C9C539E59390928B243848F103F9DB9F4371DC39A31D |
SSDEEP | 384:wtjxPcVqkjPwn0jRvoo9Q7IYthziAHISH9SsoUMFF1iEGvSwPszF73g8yl1Rbo7q:wtJcYkjPm0jGyj7FFSSw27pnLcPx |
TLSH | T155038512BD055E668B83D465FA97B286E328541F1F0B216478ADD2481F1163D83FEEFC |
insert-timestamp | 1728980946.0560038 |
mimetype | text/plain |
source | snap:GhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 14 |
hashlookup:trust | 100 |
The searched file hash is included in 14 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | B41409BF52DA6719C68FAF5A64171E18 |
PackageArch | noarch |
PackageDescription | Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: * transparent disk-caching of the output values and lazy re-evaluation (memorize pattern) * easy simple parallel computing * logging and tracing of the execution |
PackageMaintainer | Fedora Project |
PackageName | python3-joblib |
PackageRelease | 3.fc34 |
PackageVersion | 1.0.1 |
SHA-1 | 92AC1A63826BA4B673FE3CEBB51E5A0C54AF9195 |
SHA-256 | 728CDE80D2D384736C7A38873088F63E916D97EA849819310F2FE5FABDEB5794 |
Key | Value |
---|---|
MD5 | 134596EDFE434BE67DA1D95860E0E55A |
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 | lp151.2.1 |
PackageVersion | 1.0.1 |
SHA-1 | BD864DC037637BDBCCF166F7BD98F74ECE738D65 |
SHA-256 | 2DA978841D968273830DC3DA6BFFAEDFB3E6E72264BE99AAA0092A1FE562C927 |
Key | Value |
---|---|
SHA-1 | 3BE0B6F7B622F3475B284669001A507951B316AA |
snap-authority | canonical |
snap-filename | zSv1STyemr7OCWa4nnqU3hxbM9QYPbNE_7.snap |
snap-id | zSv1STyemr7OCWa4nnqU3hxbM9QYPbNE_7 |
snap-name | probot |
snap-publisher-id | s2W0CfVcbC8CAJk3pxygIt3TDKPA4QBE |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2021-02-15T06:38:48.195117Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/zSv1STyemr7OCWa4nnqU3hxbM9QYPbNE_7.snap |
Key | Value |
---|---|
FileName | http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//py3-joblib-1.0.1-r3.apk |
MD5 | 0A4ECF7F47178801498C435C1AEA4FAE |
SHA-1 | BEE8AF0CEA0A79B49308F49178C72666C32F5FD3 |
SHA-256 | 3636B5202BCA39072A5513E1E2EE0BBED5A135F31B3FBC1680DCEE7EFF78FBFC |
SSDEEP | 3072:3Bsdmeff1CVuz0urORmSLymtBLu3PUeTGCJsizEUt6v0xMqL+Y8TjPjetq9RU:3BsdmeffUV20uqMaTBcPUeTGCJh4CGsD |
TLSH | T15104220941C4ACD78D4B2451865F5C93BA26E9E3804EBFEDDD4837E369C7BC085E82E6 |
Key | Value |
---|---|
MD5 | C38649696A03E95D5C99CD42D92D5D08 |
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 | 46.2 |
PackageVersion | 1.0.1 |
SHA-1 | 5648C9250F517D014A349481F25A9F8367913DB5 |
SHA-256 | 02A32E148AA508F2A2175D560BDED2544EE6A51C0E17C254F8CB923CFA4ED094 |
Key | Value |
---|---|
SHA-1 | B7F82E26135FD98BECDD24FE3BB85A1035E4824C |
Key | Value |
---|---|
MD5 | 2591401B75C7016E3630D2EE12B32F37 |
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 | python39-joblib |
PackageRelease | 1.2 |
PackageVersion | 1.0.1 |
SHA-1 | BB919D7818BE36DAB3F091F635845F3CB846F161 |
SHA-256 | 0D4E7544BB4CCD41EE663074C331E035624735848FB914FAE7A1F406296B45E5 |
Key | Value |
---|---|
FileName | http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86//py3-joblib-1.0.1-r3.apk |
MD5 | 6E0A56C87CCD04CD98B16D059D7305D5 |
SHA-1 | E1F1F435002F5288B8C60AF18AA1860BC3F87BF4 |
SHA-256 | 3A105AFDD86B93FB95B51C5226CD33A9ECA0560E663DE12F339B33399CEEDBC6 |
SSDEEP | 3072:ABsdmeff1CVuz0urORmSLymtBLu3PUeTGCJsizEUt6v0xMqL+Y8TjPjetq9RU:ABsdmeffUV20uqMaTBcPUeTGCJh4CGsD |
TLSH | T1AF04220941C4ACD78D4B3491865F5C93BA26E9E3804EBFEDDD4477E36887BD081A82E6 |
Key | Value |
---|---|
FileName | http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86_64//py3-joblib-1.0.1-r3.apk |
MD5 | 5EDC9A5B4ECD1597F062E01943A11FAF |
SHA-1 | A864F5EF992684C6FB8D9C1C0E0B9B99634A4042 |
SHA-256 | 4EEDC4EE043D30E13547BBDC064D20A5CE8FC7B90C7EA955CD4D5E9BA42A383A |
SSDEEP | 3072:gBsdmeff1CVuz0urORmSLymtBLu3PUeTGCJsizEUt6v0xMqL+Y8TjPjetq9RU:gBsdmeffUV20uqMaTBcPUeTGCJh4CGsD |
TLSH | T1EC04230941C4ACD74D4F2491865F9C93BA26E9E3804EBFEDDD4437E369C7BC481982E6 |
Key | Value |
---|---|
SHA-1 | 3F4018ADBE947F255BA8171DC2EC271BC99D1DE9 |
snap-authority | canonical |
snap-filename | GhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545.snap |
snap-id | GhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545 |
snap-name | tizonia |
snap-publisher-id | I8SNC3Y1QJo7083Qh0nD8vYiJrmVskv9 |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2019-10-15T14:25:36.564707Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/GhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545.snap |
Key | Value |
---|---|
MD5 | 712ECB5F2A6B85431CB01ADAF04511CD |
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 | python36-joblib |
PackageRelease | 1.2 |
PackageVersion | 1.0.1 |
SHA-1 | 50C0933302AB188C2A94DF48CC84F644C20FDDD4 |
SHA-256 | 6357C19FB24EA081D8806AADA4317E74437DBCE4D66E99F6B9B6C7B6D96C5401 |
Key | Value |
---|---|
FileName | http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armhf//py3-joblib-1.0.1-r3.apk |
MD5 | 76AEDA0CCD54E111279396CA66186366 |
SHA-1 | 3E459B0DEA813DD20C367B512AC76F20D998CA96 |
SHA-256 | 24C6017793F62D711DA119C38E6AEEF03FDC91B5B31C1F07FCBDDCACD773F3C5 |
SSDEEP | 3072:rBsdmeff1CVuz0urORmSLymtBLu3PUeTGCJsizEUt6v0xMqL+Y8TjPjetq9RU:rBsdmeffUV20uqMaTBcPUeTGCJh4CGsD |
TLSH | T1D604120941C4ACD78E4B2491861F9C93BA26E9E3804EBFEDDD4437E369C7BD481982D6 |
Key | Value |
---|---|
MD5 | 1024B5C3BA6BD3D0D2E83BD74FC4EF56 |
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 | lp151.46.2 |
PackageVersion | 1.0.1 |
SHA-1 | D7B215E20FA8909973EC48101085303B9D7E809A |
SHA-256 | CD3B559C6B1950282A5F2812338AD3C4E33B9549A4D74301989BFD4A44927C29 |
Key | Value |
---|---|
MD5 | 64564528F238F4E5227235B228F6AC28 |
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 | 1.2 |
PackageVersion | 1.0.1 |
SHA-1 | 83E196A02D4040C9F40A7525F685CE5CB2ADF0C7 |
SHA-256 | D53863F426263F41647FD217A03D8B9C65F0BC0FBCD529309608C107D215750E |