Result for DA880083E89C6CE14A693B2C3660A84DF7B91FDA

Query result

Key	Value
FileSize	824700
MD5	97AD81D90FF0104E6D006F2926ACAA9B
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	1.1.7+dfsg-1+b2
SHA-1	DA880083E89C6CE14A693B2C3660A84DF7B91FDA
SHA-256	4A8016F7201E63373240C253AA789D5A8F9C4DA9BCFBA1A7BEE213837C34CF21
hashlookup:children-total	117
hashlookup:trust	50

Network graph view

Children (Total: 117)

The searched file hash includes 117 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/pycorrfit/pycorrfit/gui/tools/statistics.py
FileSize	28381
MD5	0A9B5BD8D76DBAF56640C33DEC7CA780
SHA-1	008AB836A42FFF5A8FFE0AABF054A346A8DCC908
SHA-256	193B88DE4D2901E1C497CCCD8EF91CAFB066589B2D1F995FEF4CA1AADF7161DA
SSDEEP	192:iE24YWGawoOTfqW2MVEYXbL5kwXhizbs+4BwJVYNsA3x4WNQb3609oNXGn1wEdRz:9vWHTiwXhubf4BM85ICFYR63eyhOr
TLSH	T13BD2860EA512166AF3975D2A3452B4132A1E9867164C153C7DFC8A186F07E3E82F7FEC

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/readfiles/read_pt3_PicoQuant.py
FileSize	3983
MD5	88473FB32404DF4D6A37D079BFE3F0A8
SHA-1	03663A7C0EEBB866C5D0867A3F66BCD1248F9DEC
SHA-256	9A729E9544EF27A988665A79798F04BDA6815FE0016AC9B5037C98D1C1AA37C1
SSDEEP	96:V7s+Sv8WqiovftM36tO4bkbwlb7u5PHuqjrquWhuuot2QI:V77SE8oNM3604brdi5POqjrNWhxoFI
TLSH	T11881555257E94395DB871AAF211F214A83D4D817269736293EECD6CC3F03922D3B1E8B

Key	Value
FileName	./usr/lib/pycorrfit/pycorrfit/gui/tools/plotexport.py
FileSize	2187
MD5	319FE586CCF22B30FCC00D89211E33B8
SHA-1	08F362FE043669B42DF0160C4D7641F5B2F0967A
SHA-256	D1DB901790CCB3F3DD84C123B0EC04FCC38019D0C133535E6A69F3C7A600F352
SSDEEP	48:sASUOyrvht/mI8TGReGX7t++odZh9o7E33qNiKrkT7vs:z8yrXeI2G9odt0EUh
TLSH	T1B6414D1D7255A37AD32B0E66A16B3A526B2F4497A0BD182878FCC1C44F2283500E9EEC

Key	Value
FileName	./usr/lib/pycorrfit/pycorrfit/gui/tools/average.py
FileSize	16653
MD5	9ECDE45E25F3479A1B3F3C13397BEE9B
SHA-1	09A904F14AA735342D2A94991B59629A137E81F9
SHA-256	2C7D35C555D85D623266EC9549CBA9D4EDFABB842C5986A3451B25BB727025F0
SSDEEP	192:UAKHgMQih8PNqVzy5blNQSUBVHQYqJDPP6WxPiW0N7+rOt2Sh4Mf76MyQ9QIkL0:UAKaihqiy9/sBVBqJDL600
TLSH	T16F72B60965A227B9F3079D2A355331476FEA64135188163937FCC1486F12A3893EAFF9

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_2d.py
FileSize	1564
MD5	8F1DB1AB6A4B83DA813196616F207878
SHA-1	0B6C9847ED0F9F4C34CD98DA83B10C1275379FFA
SHA-256	FFF5C9F610B01CAA5B0CB6EDD50B575ADD5DA010E73D91E3BD4BCCAC07F31FED
SSDEEP	48:qY7RAziA98Kh7mNufGHSH3jzJ6y6A81zx02:dlaiAi870SH3jzJ6yj8Fx02
TLSH	T14B31320FE0A52A2381BE825DD5AF705B693028636C01F019B3ACD3297F8AD2FD63165D

Key	Value
FileName	./usr/lib/pycorrfit/pycorrfit/readfiles/read_pt3_scripts/correlation_methods.py
FileSize	4729
MD5	2B1F1F7E6033D7CDBE7741554EA69046
SHA-1	0BADE854A0EA14D5FAF1A6DD8EF0B13774652438
SHA-256	84DD7B26AEF3F3A70EF4D1650E4349B914A91C888029925C19C00270053823DB
SSDEEP	96:d826cQCttwvhG9MI37WKPhsC4QFA42fJqg9z0wGtaWm5pV7vnWLnXv:dWSsgB37Wqhp4kwJbBfXN5bLnenf
TLSH	T115A17216132546BFA907447129DBB7C26329436733F6581E395DD24E1F0343F93B4AD9

Key	Value
FileName	./usr/lib/pycorrfit/pycorrfit/readfiles/read_pt3_scripts/fitting_methods.py
FileSize	20620
MD5	AE9639487A2F9C773B32DE5BB9454963
SHA-1	0BD8C1982B77810F697E4C72031A9676035E6EE8
SHA-256	22277526929C2D95E27782A01472CB0E5D841EAF6E42449EE8426639F19AAA90
SSDEEP	384:JW9DmDBDutwxtwIAvtwxtw5twWtwctwYtwftwHtwVtwMtwutw0twKtwstwctwdtF:JW96lqi5IOGj7HQy0P135t92+a8aV6tS
TLSH	T18D920208F61512709EF5896D5ABF6826038D56E3F8D831D1BA4C9F217F6EB23C16CE08

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