Result for 0374B111804E33779E7AE93395B3EC8E80F08D49

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/mne/inverse_sparse/mxne_optim.py
FileSize21683
MD5D662F37B70D8EE84CEFEB53B1FCA55F1
SHA-10374B111804E33779E7AE93395B3EC8E80F08D49
SHA-2568907AFF58CC331B4FB8C4DA8D9847410065D946C5F56A98F7125FCBBAFD72E00
SSDEEP384:s2c+AZ2NNQyeeRpx8yaREKIj0oQ5Mk/zMwFEeqjrSvrqtrEvs+tvGA2lD:zI2/leeRpx8yYEKE0Yk/zMwqeqjrSv2Z
TLSHT1B3A2971AAB013973C70FC065D8B642721728F1534F0565F8F89CA2686F069A953F9FAE
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize3752432
MD5435F2DCBB09C901E86DC6962ED3F422E
PackageDescriptionPython modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-mne
PackageSectionpython
PackageVersion0.7.3-1
SHA-1646980B9415C0815D1C91844DC0D3D3C08B0D7E4
SHA-2560B3D672D3D9E8F1BE7E24CC1A21A809EC93FB32668D7BE870299312D31D07B4A