| Key | Value |
|---|---|
| FileSize | 1062440 |
| MD5 | 23EE5498BBB00B836401F817D39E515F |
| PackageDescription | Data structures, algorithms, educational resources for bioinformatics (docs) Scikit-bio is a Python package providing data structures, algorithms, and educational resources for bioinformatics. . This is the HTML documentation for skbio. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-skbio-doc |
| PackageSection | doc |
| PackageVersion | 0.5.6-2 |
| SHA-1 | B54487EF51F54C24A654A6E2B20A487964197500 |
| SHA-256 | AAE105446AFC152CE3B4AFEBD56A4CD88D9FF70166B79B05F2602507B84D4899 |
| hashlookup:children-total | 1756 |
| hashlookup:trust | 50 |
The searched file hash includes 1756 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.sequence.Sequence.read.rst.txt |
| FileSize | 134 |
| MD5 | 5A12EC0FAFDC3475D3C2B31D0BEA97DA |
| SHA-1 | 0005D949A433B83B625DFA09FF5299CAE7D990FB |
| SHA-256 | 7F3C746334CEF53476112AFC2CBC128433EDAB8B69AAFD62C021068E1861A31F |
| SSDEEP | 3:lNsKNudq1Y1a6BFsKuLLFEEKzTWuLn:l9401Y1NMLLFEEQ6uLn |
| TLSH | T1EDC0928F103E1B5AC02C9704778426F6B83A708077EF83102D3457428848BA09872960 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.alignment.TabularMSA.read.rst.txt |
| FileSize | 143 |
| MD5 | 79598B7D72F0FA46D12D8D3719378E46 |
| SHA-1 | 001738F762E5DDA8C38E5C0BFD407DDE398F92F8 |
| SHA-256 | 70CB43330BBD6A894904212878EA8964047B3E37697071F0A2540EEFCB871618 |
| SSDEEP | 3:lNsK8XIuRFk+v1Y1v6BFsvXIuRPJKzUhEX+vn:l9uIok+v1Y10CIcQUSX+vn |
| TLSH | T18BC09202123D167D8568AA0447050FF8E8FA70C06FE1C11A3BA56B81815CBE66B92A40 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.stats.gradient.TrajectoryGradientANOVA.__gt__.rst.txt |
| FileSize | 203 |
| MD5 | FD23D006B5CC2332E19C2DAAC7922385 |
| SHA-1 | 004824D5CD1DDBD9A91A42A9277BFDF2218D42B1 |
| SHA-256 | 3AED876A8F1C77E3BB8A403A371A9B9D4E48D9497C04826A36361F72795E0056 |
| SSDEEP | 3:lNsKX9YMnAVpI5pRfs6BFsW9YMaLLJKzUWj2pI5pRJ:l9tYMnAs/fnZYMaLdQUWjH/J |
| TLSH | T128D08005001C1109FC27F780C5140CDC845E6DF95355C894097CC144C1717D535FCC20 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/development/coding_guidelines.html |
| FileSize | 49839 |
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| SSDEEP | 768:UBqbIxSpHq+n9xdUFTHvhMPFosX+iFvJPfs1FUjD7uaVp:ztnLqvqPFosXhFRPfTdp |
| TLSH | T14E232FA2D9F282370137C0DAA7EE1B69F1E6402ED1910851E6FD477C879CE91741FE2A |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/horizon/xstatic/pkg/bootswatch/data/cerulean/bootstrap.min.css |
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| TLSH | T168C3C660F11031EA7323C55A71D0FE8A3259E193E5664EB7F22F65E88F855CA0273F1A |
| insert-timestamp | 1728970043.6881106 |
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| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.tree.TreeNode.unrooted_copy.rst.txt |
| FileSize | 149 |
| MD5 | 234B925A23EA87C6C4EAB23748EDE99C |
| SHA-1 | 00EEEFD3C0DF234438593F9BE0DB61E7BFE7C953 |
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| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.sequence.Protein.__deepcopy__.rst.txt |
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| MD5 | 7E4D01A2C716263AE5AEC7A8374D2D00 |
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| TLSH | T18DC09B4D201D465E905E56E5675C49F9B475615573F743111CB442864988770BC74E50 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/alignment.html |
| FileSize | 29813 |
| MD5 | 70420AD5C49F3D10AB5797DF1D7E8073 |
| SHA-1 | 01097C6442EB6BAA55CBDE7B9AA6808D9A1AF578 |
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| SSDEEP | 768:jRY4q9WhiEIy8L4Fb+I5jmsrdf05yBaQN/h2pN2a31bGOFTNp:Jesf/ho1rFTNp |
| TLSH | T105D2DCE299F381370177D0C742EA1B75B0E6502AE5E60441B2FD87BC47D8D927A0BE6E |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.alignment.TabularMSA.append.rst.txt |
| FileSize | 149 |
| MD5 | 79E77A74A491039F6EFAEB81592502CD |
| SHA-1 | 0109C921374E593F7E68696D3C6FA6F70F43AD06 |
| SHA-256 | 3D08DAD6CB56C0AB9811160260E57B41BDAE7F99D01EDD1A934574C27D130EFF |
| SSDEEP | 3:lNsK8XIuRFk+8q10F6BFsvXIuRPJKzUhEX+8q1v:l9uIok+8q10SCIcQUSX+8q1v |
| TLSH | T1B7C09202227A157DD5686E08C7051EF898FA60E063E1D12C3AA61F888158FE66B90A40 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.stats.gradient.FirstDifferenceGradientANOVA.get_trajectories.rst.txt |
| FileSize | 248 |
| MD5 | 0EDCB4641A9E3D6D1A64B44D8A38A87F |
| SHA-1 | 0127CB9C74A779C6293332FFBB3623F13CF65C81 |
| SHA-256 | F83241A1460B4067C42063F116A21DBE123748B6EAE47061B3F3297DBD3AB45A |
| SSDEEP | 6:l9tYMGiDysFEPjMrZYMaLdQGMGiDysFEPjn:XeKy1PjM2dEGgy1Pjn |
| TLSH | T102D0120580246287F93ADFC0DB0914AEB65761EB638D85581D5C810C806AFBA25AD923 |