Key | Value |
---|---|
FileName | ./usr/lib/python3.10/site-packages/emcee-3.1.1-py3.10.egg-info/PKG-INFO |
FileSize | 2750 |
MD5 | 8127624F7034FB7B4815F629ABA6C7DD |
SHA-1 | 1291ACC75B430FC15C0F44417B7BF7D5EDAD1050 |
SHA-256 | 2EEBBFC557EF65696CBED594258FFC2105C3E24BB6FC98CCB1D114B0D70C6984 |
SSDEEP | 48:D2TVGC0lsGKb4cQIk2lDY0P0E+h0v608LSX0VwHMGm0vC+heQ7HV9RCFC+VedKIA:D2TCatbzQI5lDSosSDrVyYdP/24omfrG |
TLSH | T17551B7A3BFA20EB1BB20C5803DB65176D35652EFFDD96494787CC2214B25C3A20BF948 |
hashlookup:parent-total | 18 |
hashlookup:trust | 100 |
The searched file hash is included in 18 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 06A7C768308BB5F4EA3A2BDA9960946D |
PackageArch | noarch |
PackageDescription | Emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010) http://cims.nyu.edu/~weare/papers/d13.pdf |
PackageName | python38-emcee |
PackageRelease | 7.10 |
PackageVersion | 3.1.1 |
SHA-1 | 0B83C84B987968ADFE53508D88E3B920807BCD9D |
SHA-256 | 1BA7BFDF31C878A77335B985A224122CE37151EE16B3443B5203628B3ED7D07A |
Key | Value |
---|---|
MD5 | DFA9691B2D38D4CF783A0476876D5D8B |
PackageArch | noarch |
PackageDescription | Emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010) http://cims.nyu.edu/~weare/papers/d13.pdf |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python38-emcee |
PackageRelease | 1.2 |
PackageVersion | 3.1.1 |
SHA-1 | 1ADB56B575FD15742109771FE6619FC0510B4F46 |
SHA-256 | E12BAA04B4EF0A16620DF2BE87562912304FE4203EC67141C483C73C6C210476 |
Key | Value |
---|---|
MD5 | AD964B64831F212D3B01875019EB9C81 |
PackageArch | noarch |
PackageDescription | Emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010) http://cims.nyu.edu/~weare/papers/d13.pdf |
PackageName | python39-emcee |
PackageRelease | 7.12 |
PackageVersion | 3.1.1 |
SHA-1 | 254A60D826B0452AA9EE299DB3156CED3849758A |
SHA-256 | 8F9A0B28EC754E28D63E893C940B4FB63EC39C2EBE6B1711281EDC71E87B1E98 |
Key | Value |
---|---|
MD5 | 3E4B6178816B41DB46D3EA46EF2AB1D5 |
PackageArch | noarch |
PackageDescription | Emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010) http://cims.nyu.edu/~weare/papers/d13.pdf |
PackageName | python39-emcee |
PackageRelease | 7.11 |
PackageVersion | 3.1.1 |
SHA-1 | 2A680AEC6E675EC28CB68BBAE4F855C3B6F808FC |
SHA-256 | B138C47B80E6F83A1E4B88D01FF296F7FB16AF563814919589B56418177746CB |
Key | Value |
---|---|
MD5 | 73C4AF9D87621DE9B5DF374835C9388A |
PackageArch | noarch |
PackageDescription | Emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010) http://cims.nyu.edu/~weare/papers/d13.pdf |
PackageName | python310-emcee |
PackageRelease | 7.11 |
PackageVersion | 3.1.1 |
SHA-1 | 3495D3E0FC0B9B1B577BBCF4FE72F9BF9F3F917D |
SHA-256 | 4A5B2A9709D3106DE0D352AC95684BE1D62CD3D981CFD141062CA8AC6F00B16A |
Key | Value |
---|---|
MD5 | 8BB9C19AF1E7D1F7C6AC1A638A2F90A5 |
PackageArch | noarch |
PackageDescription | Emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010) http://cims.nyu.edu/~weare/papers/d13.pdf |
PackageName | python3-emcee |
PackageRelease | 2.4 |
PackageVersion | 3.1.1 |
SHA-1 | 39298F9D84B6D35467F3052EAEF97DFD2FA1DFA7 |
SHA-256 | 72A7E780B39DD6C272F7AEF220307E831831E259A384C7DB6E16B07ACB7F1899 |
Key | Value |
---|---|
MD5 | 52D86774823AF30231A30C358FC7ACB3 |
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 | umeabot <umeabot> |
PackageName | python3-emcee |
PackageRelease | 3.mga9 |
PackageVersion | 3.1.1 |
SHA-1 | 3E2BCA13E99F20D16BF5D81B414DD0950B0D02BA |
SHA-256 | D3EF1E9BC2A171DFF8F47848917991DFD1C999CDEA9F9EE8CA1B948159786487 |
Key | Value |
---|---|
MD5 | 681A3BDA4BFF5577C9D379B19382BF4D |
PackageArch | noarch |
PackageDescription | Emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010) http://cims.nyu.edu/~weare/papers/d13.pdf |
PackageName | python310-emcee |
PackageRelease | 7.10 |
PackageVersion | 3.1.1 |
SHA-1 | 46DAF951D75EA3F5F6958A57E762BF022B22E836 |
SHA-256 | 8B4588B16129AAAD4D325FD282CE17B754EC3F9168C769757338422B09778CE7 |
Key | Value |
---|---|
MD5 | 3CA5323F6776B400363BF1445AACEA52 |
PackageArch | noarch |
PackageDescription | Emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010) http://cims.nyu.edu/~weare/papers/d13.pdf |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python39-emcee |
PackageRelease | 1.2 |
PackageVersion | 3.1.1 |
SHA-1 | 4715BC14EFD26A6945FBE35A923159EFE919AC95 |
SHA-256 | 886EE54939D5A1C4E97B10F910CF95F020DC6779A9ECFC08128E6618B34F93B8 |
Key | Value |
---|---|
MD5 | 1B1A3155F0A81F07970E1BE2932AA9C2 |
PackageArch | noarch |
PackageDescription | Emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010) http://cims.nyu.edu/~weare/papers/d13.pdf |
PackageName | python39-emcee |
PackageRelease | 7.10 |
PackageVersion | 3.1.1 |
SHA-1 | 5D0CE2544AB690389A24E8FDFA555078E5D62ED8 |
SHA-256 | 09E5CBCA0A4203AFBD882F95B289E09FF8A2D6C3A6C8C8D7319F577051678ACC |