Key | Value |
---|---|
FileSize | 823644 |
MD5 | 53C7B598421C59BA678CAE7A83AF1610 |
PackageDescription | tool for fitting correlation curves on a logarithmic plot PyCorrFit is a general-purpose FCS evaluation software that, amongst other formats, supports the established Zeiss ConfoCor3 ~.fcs file format. PyCorrFit comes with several built-in model functions, covering a wide range of applications in standard confocal FCS. In addition, it contains equations dealing with different excitation geometries like total internal reflection (TIR). |
PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
PackageName | pycorrfit |
PackageSection | python |
PackageVersion | 1.1.5+dfsg-1 |
SHA-1 | BC15DE13209E41AE4DB5D178C5869913256B32F9 |
SHA-256 | D8B5717B6140988FAF21AACAEDE909540982E8F576E9C7EC82641CC360C053EC |
hashlookup:children-total | 115 |
hashlookup:trust | 50 |
The searched file hash includes 115 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/pycorrfit/pycorrfit-2019.10.24.post21.egg-info/top_level.txt |
FileSize | 10 |
MD5 | BEA3AAC82A98F986E3017BC8FDEC4860 |
SHA-1 | 01AFA4C9F7E6ED348C4FB63E000A6D94D7598EEA |
SHA-256 | 7DE0A9C748A55ECCCA747A14C78F48CE2355E5D8075D8CF98E8B55531D8F2E74 |
SSDEEP | 3:mAJn:l |
TLSH |
Key | Value |
---|---|
FileName | ./usr/lib/pycorrfit/pycorrfit/models/MODEL_TIRF_2D2D.py |
FileSize | 4401 |
MD5 | EF24A80ABDC3262EEFD30057BC98416D |
SHA-1 | 091CD4053A66F73C3F85280F31188CC44F76AA14 |
SHA-256 | 18C02A6108DD42756DB2F2C6899EF4CD896009C333137976643580FD81604AD5 |
SSDEEP | 96:E2y6w5lz0tAKAXgRpEcue2pZOwc/sCM9ccqb7:Kh5pkAKAXgBHKZOTsCGccqb7 |
TLSH | T1C091861AE04C3F34741B9301EF1B9A4A06B7D0A70442756DB15DCE685F2EC5F4B7A48D |
Key | Value |
---|---|
FileName | ./usr/lib/pycorrfit/pycorrfit/gui/tools/globalfit.py |
FileSize | 5532 |
MD5 | 2001C161BEF53634AD6CC6A70B2E0DE0 |
SHA-1 | 0A6A68BF838FA736160C4AB5F7A8B53F5C50366E |
SHA-256 | 9EC8AB973A261151DCB34603592106E87CDD71DE1FEE65C64195253281461C50 |
SSDEEP | 96:7xu+N80E8CT6rXK/ILG7POzBN+BUjWklT0YeglACN+c/Le0uN+eUj:FNVSm7kaNlQh2jeaj |
TLSH | T101B1714D79562236E2574E7D74A238177F2F685720AC12387AFCC5406F0293892E9FB8 |
Key | Value |
---|---|
FileName | ./usr/lib/pycorrfit/pycorrfit-2019.10.24.post21.egg-info/entry_points.txt |
FileSize | 51 |
MD5 | 132E4C1C9EB351A81CE77993D908BB03 |
SHA-1 | 0B23070C0C12E0DF9162AA59AFAD8490F7D8037A |
SHA-256 | 8FD400E22F29A78AB2C1704FD845E5C79E3F0BE117892BE096FD5D7B624B9DD0 |
SSDEEP | 3:7VRV6wjYvVtTKSmL:7VRV6R9mL |
TLSH | T1479002124BCA71F0C111A62A262040041598D1441112C0C105B42D410C11345782F65B |
Key | Value |
---|---|
FileName | ./usr/lib/pycorrfit/pycorrfit/models/model_confocal_tt_3d_3d.py |
FileSize | 6083 |
MD5 | 3A4C6B0EBE2C347E82A72DF618CD3D47 |
SHA-1 | 0BDF10F210DE7AE263D2CB48425ADFD2E4A70FD9 |
SHA-256 | F188791E25C60873BEB30C5D36392B4A60F0E890E98196B1924BC766E4D46473 |
SSDEEP | 96:LDJHfpw+JmIG0mZQIgg8SH32E7rJwMsREBn9Nv7LL/C4DVP0Hm:RH6+FOGSHG4rJZsREBn9Nv7LL/C4DyG |
TLSH | T12FC1540AD4482E7B935B862D082F2C1F126540778E85B41DB12C871E5F6FD7F4BF8A89 |
Key | Value |
---|---|
FileName | ./usr/lib/pycorrfit/pycorrfit/gui/wxutils.py |
FileSize | 4743 |
MD5 | F3F93C96C06A1C8ABD6AC866F48D5EA5 |
SHA-1 | 0C2609F4C9E26154247390335DA1B332C8CB33A9 |
SHA-256 | D4F5C110FFC04E9101E1ED547ABF9CA64F649F98A2267182E6987A9A63056E01 |
SSDEEP | 96:r+w6xMePfxZZx7TEfj9oIdysH1sqXH7fvZk0GYDplGvqotuQTGjLlQrFLMTRbkx:6QePfxZZx879xJsMy0G6XVwLECx |
TLSH | T1B1A11F62F5966CA1DE0B892948D3E0C2276E7897157930F8FCFD18405F558ADC2F1AEC |
Key | Value |
---|---|
FileName | ./usr/share/doc/pycorrfit/examples/external_model_functions/ExampleFunc_SFCS_1C_2D_Cross-correlation.txt |
FileSize | 907 |
MD5 | 1EF1258552956A63118C407E36503BD0 |
SHA-1 | 0E1F327EC098ECCB909FC81B36F1850BC0ACE236 |
SHA-256 | 8F274F14EB10EE7AD9E3DB7A4C45C7E048DFACDCDF1ADBA5BF6F512511F05F15 |
SSDEEP | 24:4kkkr2gGRFQuFRGQDtv5NMFA5DGKoA6mgvx:wkqF9FDDtAqroAVix |
TLSH | T1E011446B773667A2C0F6CB01EC8686B4706680B630B500036159C10C754FCB6C2B73AE |
Key | Value |
---|---|
FileName | ./usr/lib/pycorrfit/pycorrfit/models/model_confocal_3d.py |
FileSize | 2205 |
MD5 | 9512F909077A4E37EF29DC3DB7CC86CE |
SHA-1 | 108FD26F0C1273A074C35883A5D329BFDF3F04E9 |
SHA-256 | 672207B2FCC446A29786D1E089DC35231703673D059019C72E0A22121504309B |
SSDEEP | 48:qYnJ8ZM9IA98FeHA3wKFHtSuSH3jzJCt6e11C0Hm:LnyZM9IAigHAAKNfSH3jzJCse7C0Hm |
TLSH | T14341550FB4951A3741EE8748C4AF2057953154A3AC00F406B2ACD33C5F8BE2FD67229E |
Key | Value |
---|---|
FileName | ./usr/lib/pycorrfit/pycorrfit/readfiles/read_mat_ries.py |
FileSize | 7281 |
MD5 | 02B93E4D889886BEECAB32F034BDAC50 |
SHA-1 | 13CC4CD04E4EDE49BBDD961A36F505911BD5A412 |
SHA-256 | 4C152FC89EEC633E047477DAA72835E262664F5D848895A1DBD74EE09A6B57A5 |
SSDEEP | 192:66GsdrwfabpO27ivqbJD2mk2SZ2pdYxRSV8Pr:2uQ |
TLSH | T179E186567FF2165AF283442E052FE10A5768AC332A52113C36ECB7982F57A34A3B15FD |
Key | Value |
---|---|
FileName | ./usr/share/doc/pycorrfit/examples/external_model_functions/ExampleFunc_CS_2D+2D+S+T.txt |
FileSize | 3039 |
MD5 | F8393F56096ADAB3F8DA52A35008179B |
SHA-1 | 1872B57DB983BAF71A1C4AF2CAFF8908AA131C44 |
SHA-256 | 9C57D7BEF88064650784A661854F3B81A533DF19E360ABC1793C1594E1B1BE98 |
SSDEEP | 48:nLV3VcNKcB7ssBJRsiQ4a7WCcghJG7jwbdYKfAn1fAUptSHAIJEi0tlWFmoq:nLvfcFssLRZm6X4k4eKfAn1fAUptufJG |
TLSH | T18251A34E634B123957BA8520E21F22ADF316D0B072388250B85CD46D275AD3B13B2EED |