Result for 1CCAF781A5CA6D39D6B712E203DA778006587399

Query result

Key Value
FileSize817774
MD5739977890024734EE3EB7765F0CBC9E1
PackageDescriptiontool 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).
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepycorrfit
PackageSectionpython
PackageVersion0.9.9+dfsg-2
SHA-11CCAF781A5CA6D39D6B712E203DA778006587399
SHA-2561089AB384B24153F3618F1116E8B1797056F0CB60E624D390A9935D95DEA8C26
hashlookup:children-total108
hashlookup:trust50

Network graph view

Children (Total: 108)

The searched file hash includes 108 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
FileSize10
MD5BEA3AAC82A98F986E3017BC8FDEC4860
SHA-101AFA4C9F7E6ED348C4FB63E000A6D94D7598EEA
SHA-2567DE0A9C748A55ECCCA747A14C78F48CE2355E5D8075D8CF98E8B55531D8F2E74
SSDEEP3:mAJn:l
TLSH
Key Value
FileName./usr/lib/python2.7/dist-packages/pycorrfit/gui/tools/datarange.py
FileSize9191
MD5C4F4C4480721A5FBA5606F657E36533D
SHA-102A893FF6DE1699E6B374B4E9F8BEAD3F205C276
SHA-25685DF51EDB7E679231D87F53D31B85A803625C4874A71E365AE1AF43F37F1345C
SSDEEP96:IICTy7rIjElj/suQk2PgS+wi9Qar8PR55lHXowGYDVti6UHJ6XzlmZLRniFnR/9:I/l1i1r8PhZo0kFJQz0w9
TLSHT1B812860E5015027AD3678D52F4F23B473F1B31AB945C46383ABD98849F6257181F9FEA
Key Value
FileName./usr/lib/python2.7/dist-packages/pycorrfit_doc/ChangeLog.txt
FileSize14841
MD5C688E5F72B28D60EC79CC904BB5F9F91
SHA-1042CCC86986F6C6A0D4EC78F3F02A529A7AE9B95
SHA-256758D532E8FFB6E8B60E5502BD7E3408922C536CB6E3FD625127EA8CDBB7B8C6E
SSDEEP384:Je62H6PH8YmkgQaoEarNGGzNiDDK/rbtT0uGV6e:Je62H6PH8tolRCDud66e
TLSHT17B62D7263A542366353311C2B34B621AE774617AF725771138CD820CFF7E979937B2A8
Key Value
FileName./usr/lib/python2.7/dist-packages/pycorrfit_doc/PyCorrFit_doc.pdf
FileSize580886
MD5244EF10C8EEFAD9F56832C40D9B30778
SHA-10538DEDD9B328509A34DD69F458F2471D6CE3C2F
SHA-256FFFF739DF8C10FE8BF2A7C067CFC289D3D298C9913F6035E7AFB546FA4E4CB2E
SSDEEP12288:iW03ejeckTn/EJVgVP6Z6oidvwUqDvyYLWpKr33w2m4ABCd5+6C:P03jcmGgQsoiWjDqYLYKU2m40gy
TLSHT10BC423E5EB3E5344C9414839DE3477E100DE20D2367E5833B96A03C77B99E94B861A7B
Key Value
FileName./usr/share/doc/pycorrfit/examples/external_model_functions/ExampleFunc_SFCS_1C_2D_Cross-correlation.txt
FileSize907
MD51EF1258552956A63118C407E36503BD0
SHA-10E1F327EC098ECCB909FC81B36F1850BC0ACE236
SHA-2568F274F14EB10EE7AD9E3DB7A4C45C7E048DFACDCDF1ADBA5BF6F512511F05F15
SSDEEP24:4kkkr2gGRFQuFRGQDtv5NMFA5DGKoA6mgvx:wkqF9FDDtAqroAVix
TLSHT1E011446B773667A2C0F6CB01EC8686B4706680B630B500036159C10C754FCB6C2B73AE
Key Value
FileName./usr/lib/python2.7/dist-packages/pycorrfit/readfiles/read_pt3_PicoQuant.py
FileSize3826
MD5B788F0296339726E6848CE622101F2FA
SHA-10EF2FDAF6EDB9841F981814029CA3A91798D1E4A
SHA-256ED183D1F5EE4ADE37B3A3400E76240AB352C30F01821972D7C8478C64F42C05C
SSDEEP96:KVE+SXAgPI/ft61waAu48kbwlP7qFg+Hq6Zz1rqqmNZuqwt2QI:KVDSwWI961waj48rBuFg+K6Zz1r9mNZ3
TLSHT1FD81966257E94395DB43167B211F214693D4D81725972A2C3EECD7C82F03A23A7F1E8B
Key Value
FileName./usr/lib/python2.7/dist-packages/pycorrfit/gui/tools/overlaycurves.py
FileSize16225
MD53FF7176D4BFB8EE123C70772D8CE3C5E
SHA-111EF85C661915CF5782C88F7CD64F3BF2FCB90EC
SHA-256E37A6CC90194EE81D1E01408CFAEBB9EF193FC3BC06510C6AFEF0EFD29C92C8E
SSDEEP192:W6D+VIlb7rW8xMrIl62ZGo/VMrUncHRxHD6t9itdqin:W6D+KlfygxlZGzXHGEh
TLSHT15C72740AB11026B5E2AF8D3B24A3B507AF1B582B495C117C79FC9D480F5607843E3EFA
Key Value
FileName./usr/lib/python2.7/dist-packages/pycorrfit/readfiles/util.py
FileSize1813
MD51E5B436EA160E4199847491E4FC8C79C
SHA-115522E308E869762AE7885963AC8167EE0F2951E
SHA-256A834103518540F75D13B72EBEA72A66617F402EEA69FBA3CCA73058F74FC776D
SSDEEP48:vMvPf65yUAePnhGnYHrNM7k4BTqr6yDVaIAJceiqBUXuFAL:UvWy0nhqYLX4yvAJliIeL
TLSHT1C931B153A3FA47E9B702B40A0A0252D557F0513763C1393537AD92899F43A38B3E6BD5
Key Value
FileName./usr/lib/python2.7/dist-packages/pycorrfit/gui/tools/batchcontrol.py
FileSize13651
MD50C3D406EBA826B799D56D5E3A7693D64
SHA-1157358F01AC066067114170645E06D2C60615EC1
SHA-256D5A1A37A2E204611592A3D1F5AC877ED293B3728B0BBFC4297909D88CCC50D3C
SSDEEP192:MZU1B1wbnIH402ucNITrq1HIjTkYSalHbp6Y:MK1B1m9ar8IjTkYSUH93
TLSHT1A1526309B63926B9B24B4D3774B2B8126E6F1857380D013879FCC5981F17934E2A6FE9
Key Value
FileName./usr/lib/python2.7/dist-packages/pycorrfit/models/MODEL_TIRF_3D2D.py
FileSize4885
MD572FDB905E775099DBECFA2307D666040
SHA-116C9122182C753B6807998D3C5A141A5A9079774
SHA-2564580B1A2165AECC891CA7990B78AC454D855F6BEC6F47F9D40566D42E0D26B61
SSDEEP96:62y6w50uzyQqdAAgA2iWl+ZsjH6ecOlqjYLVf17:oh50+y/AAgA2iWl+ZUH6edlO2f17
TLSHT1AEA1860BE18A2E38B81B6701D21B654A477AC0631583355CB16DEE689F8FCBF02779CD