| Key | Value |
|---|---|
| MD5 | 4DA80123561E34AC6A8AFADB60D3A6C2 |
| PackageArch | noarch |
| PackageDescription | Mnemosyne resembles a traditional flash-card program but with an important twist: it uses a sophisticated algorithm to schedule the best time for a card to come up for review. The Mnemosyne project is also a research project into the nature of long-term memory, to which you can freely choose to participate by sending anonymous data to a central server for analysis. Optional dependency: * texlive: enables entering formulas using LaTeX syntax. Use the following syntax in a card: <$>LaTeX formula</$> |
| PackageMaintainer | daviddavid <daviddavid> |
| PackageName | mnemosyne |
| PackageRelease | 2.mga7 |
| PackageVersion | 2.6.1 |
| SHA-1 | 9C2DB695466C3577C624DFB891C0F9DC5571561E |
| SHA-256 | A0192E4632B2D5168794D3B819764FA878EBF3691FB659B178B592A6999C4850 |
| hashlookup:children-total | 501 |
| hashlookup:trust | 50 |
The searched file hash includes 501 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/mnemosyne/pyqt_ui/configuration_wdgt_study.py |
| FileSize | 3554 |
| MD5 | 82CB4B758B2EB31A5BCC9817A8343FD7 |
| SHA-1 | 000045B4E98E76E3F913097DF8859243911FE75A |
| SHA-256 | 382DF88A3AD3696C4B4A3A3B2910836DF44D032E2A14B04AE45F8CC266B7C971 |
| SSDEEP | 48:nFOBipFHZ7GdpAY7cZnESKuNYeNZpqHW8lPalsXn:nFZhZ7GdpWKmNvedEon |
| TLSH | T13A719D42A05DA512897BDC6AA48638371D2E3B47672C0C5474BD70689FC0BE1F7E4EEC |
| tar:gname | bin |
| tar:uname | root |
| Key | Value |
|---|---|
| FileName | ./usr/share/locale/ca@valencia/LC_MESSAGES/mnemosyne.mo |
| FileSize | 57790 |
| MD5 | 0327DD5ABA69CE05B9244653670A2178 |
| SHA-1 | 0042EE3445C2E5086DEED0894BA6C5D5CCFB06CF |
| SHA-256 | 29325DCECAACB60E35538912033A235A1B19493EB5278273DF86985F6FF64310 |
| SSDEEP | 1536:QLsAWnz9ULNRM42dP4wlk9Nr/hvujJ2t7XDuiPaJt60AMQbWaRxbCa1xcELRiBRk:esvz9ULNRH2dPLk9NrojJ2t7XDuvJtl0 |
| TLSH | T11C43082323C41375C953127AB309E3A3B659E1ED7B1AC792DC9D426432856D862BBFCC |
| tar:gname | bin |
| tar:uname | root |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.10/site-packages/mnemosyne/libmnemosyne/file_formats/science_log_parser.py |
| FileSize | 14184 |
| MD5 | 7563ABDF807CC506FAFEFA9257C779FE |
| SHA-1 | 006262BEB53764E8F4BF5C63BC283B52FA2B90AE |
| SHA-256 | 2D727021640DE4B1207438E8FEB95103837C7D0A8C40BDAD41E651D00A67D052 |
| SSDEEP | 384:20DEJ5lIGp65QPy3BTzw/yQ3bBUhrF3qDwYnYJqCMjZMej2gw4H6nMGuAzqwJagb:20YJ5XyxzcnCOxjZqgDgH2e |
| TLSH | T1BF52850363055E616B03DA399869B4C3872AE403965A563C7DACD2D42F019B9F2FBDFC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/mnemosyne/libmnemosyne/file_formats/mnemosyne2_db.py |
| FileSize | 3741 |
| MD5 | 443293D98BACEA139EE676B1C7648EB7 |
| SHA-1 | 007FD3A1D4D399605191B347B9DC1CE2731A89B6 |
| SHA-256 | FC9C511AC0E3B8260E17340D8118904AE3E9D716AA3456CE7067EF2EDA2281CB |
| SSDEEP | 96:ZgQphGDvYUUzUcvYUv070qTcm/eUXNLG484cLGgB/w16Q:mQpsvUQAvfUcm//XLPeGgNi |
| TLSH | T18671026A854F7C229397BC965012712A1A363ADB177409507EBCF2F19F402E263A7FDC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.10/site-packages/mnemosyne/pyqt_ui/add_tags_dlg.py |
| FileSize | 870 |
| MD5 | 0B38D44AC85D6EE7DC2BB11AEB704428 |
| SHA-1 | 02E76285C9F2DFFBB6F6A808426FB39D6860EEED |
| SHA-256 | 3B45319F828136FDCF7B8142B8CD0FDCB4BEB44D04A02BDD56B6A2E4F41CC11D |
| SSDEEP | 24:T72O1RZmHcAslrYsGbYRMNE5Dvaxx9/1h:1ec1sJNE5DvaB/j |
| TLSH | T179114891216AB0212377DC4342477217AA6E9A23E7194A44B0FD26B0AFA145689D4DE8 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/mnemosyne/web_server/__pycache__/web_server.cpython-37.pyc |
| FileSize | 6931 |
| MD5 | F7D300FF9EF0D5861EB3CB765472BDC7 |
| SHA-1 | 040B4624D8679AEA13FBA45B31537AD185570B3F |
| SHA-256 | FB19A21620C5385313391583547DA1D6652510E6817F0EB192AEC11A9B959A89 |
| SSDEEP | 192:s2Mg4VeoLL4F7zvcj3z96a8+Vzh9Xn6JYr+skifPwru:PMg4VeKL4BTeH8+Zh9Xn6erkiniu |
| TLSH | T17FE1C8C085055E9FFD22F7B940F943E0972172BB179C611B6A60E0AB3F460C46A3868E |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/mnemosyne/libmnemosyne/study_modes/cram_recent.py |
| FileSize | 641 |
| MD5 | 710D0CE6E9C19B6239F45E5E54AF6C37 |
| SHA-1 | 054357B47D7B2CD4820F6DFFA697FE3B6ECF6667 |
| SHA-256 | C1E5470516B51A2EDF2E3D64724E53A17B2CE00B6D53370902FFAE6C3AB9C611 |
| SSDEEP | 12:L8nlhwEWxhO36pDBkRyDEirKW8APowT3/6/xGESd5pjKLDqEM:czPEOhZWBPoo3CxGESVqq5 |
| TLSH | T1DCF028018076327427D74C6DDA44B82905A4B0FB2B141C1278DE39B86F90AD873EE669 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/mnemosyne/pyqt_ui/__pycache__/edit_card_dlg.cpython-37.pyc |
| FileSize | 6994 |
| MD5 | 724B99372627778141F97CEBA1A3F199 |
| SHA-1 | 058050D2358A60E77749712551B4AFE51CBE2A3E |
| SHA-256 | EC6B41BB99575C99353A18762C116F3B11355835B3E2230C14F40D47D0E44E5E |
| SSDEEP | 96:oRqNhEQw77fcyrOVn39RO0udlsXHmTrHqUcCKRCRxH2ITAPA2jjkOj5f/Fx11Peo:i//rUn3vXHmX5KRqxHXAYaPVX |
| TLSH | T180E1B5D09901AE2EFEAAF1FAA4181354F234B3B98FEBB2121111B57D0F491C20D6D79D |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/openSM2sync/__pycache__/client.cpython-37.opt-1.pyc |
| FileSize | 18504 |
| MD5 | 55E7415545702EF00AE740DCE3361C26 |
| SHA-1 | 0696A018EB8BA3B928D5311107004D04BEB71B49 |
| SHA-256 | 66AB86968D2D0453C72BC6570CE0CB4B610F3E3B5843F3DC63A01FE89972CC08 |
| SSDEEP | 384:HdTv089MA9FyFWw6MQ8GYqc5F8oZZRiC1yMHMl2G6jBzBO32P+aoFu9C:HdTv08Xw6MQ8GS8ozHzPtzEu9C |
| TLSH | T13F82C784F6519E2FFE51FBB0908923C0D324B2B903BA69523819F19E2F446D579A728D |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/mnemosyne/libmnemosyne/__pycache__/card_type.cpython-37.pyc |
| FileSize | 5588 |
| MD5 | FCDE20F84A16A50AB628719BBCB1AD94 |
| SHA-1 | 06D81F452C7593929996F8FF23280CD1A84B8B30 |
| SHA-256 | AB65D1BF80081275DD695E457BD8469FCBAF0885BDC4DCD2446003AB64961720 |
| SSDEEP | 96:ZI7wM5CaEOI3fs4ZuOWTDuqkQzOpq0F98nzCira8fVTVYY:ZANc4es4wWqrzmaXNV |
| TLSH | T101B15681AEC95A78FB65FAB1529A73277220E13B075141573E4CE0AD1F090E0633AE4D |