Result for 12D605B15679A3C1480F42B3ECB3E79947E4E335

Query result

Key	Value
FileSize	825116
MD5	2326D7B8D8CA38EF05D4D677D369FA69
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	12D605B15679A3C1480F42B3ECB3E79947E4E335
SHA-256	514AE9EBD30D3EC2508E56F1DB41E421198A7F3E54B89A231898C803689ABBDD
hashlookup:children-total	115
hashlookup:trust	50

Network graph view

Children (Total: 115)

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