Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/emcee/sampler.pyo |
FileSize | 5982 |
MD5 | 65FDA8E84CEF2AA0E7EA64A45FBEA7AD |
SHA-1 | 05C3E9F8EAE4B34DD226F948721C4E31913BEB15 |
SHA-256 | 98E904FD7BE4E9BAAC572ED4E00421968E3AA96BA0CF6A83565283F46F0218A1 |
SSDEEP | 96:HEJ7aDbw0qMXy0VB1oDx8n5A+OjTWsR5kkg2JbxlDSLNfDHqOSDxIEhtcQBRJxMA:kJuFqc5Gx8q1XXfky1xdSLNDHqOS9Ht3 |
TLSH | T1E3C14480B3A507A7E7522570A0E4613BDE7AF8337180ABC1392C59336F85579E47EBC9 |
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 | 9DE46F48500BEBED8F61485E3310B2D0 |
PackageArch | noarch |
PackageDescription | emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the Astrophysics literature. |
PackageMaintainer | Fedora Project |
PackageName | python-emcee |
PackageRelease | 1.fc21 |
PackageVersion | 2.1.0 |
SHA-1 | 462EE0315AAAE58581C06E6DD69AF6EC2BA9F68F |
SHA-256 | 331FF39EF8BA234C2050ABB7B5A2741E8696F6B76738E87192F47F9070F8146E |
Key | Value |
---|---|
MD5 | 49B25D4F0A5F71B0FD3A7A4793FBD9E3 |
PackageArch | noarch |
PackageDescription | emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the Astrophysics literature. |
PackageMaintainer | Fedora Project |
PackageName | python-emcee |
PackageRelease | 1.fc21 |
PackageVersion | 2.1.0 |
SHA-1 | 010B5EC003E5C8D7150C20C22E1E6D3D56C3F41C |
SHA-256 | F2357D3FF6FA4826CB51F69F2802A27963241F11F6ED5236F0659BEC88914A5D |
Key | Value |
---|---|
MD5 | 745AE5AA46EF24B8FC87B63562078A8D |
PackageArch | noarch |
PackageDescription | emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the Astrophysics literature. |
PackageMaintainer | Fedora Project |
PackageName | python-emcee |
PackageRelease | 1.fc21 |
PackageVersion | 2.1.0 |
SHA-1 | ADB21674060994DB0166436A0D414D93618AD6CF |
SHA-256 | 06E11DF54C990EF90D0C705653967562E0E1CF174746BA12AB14AEEEF01DCB6D |