Result for 0BB81C5D9269F07E97BB23012054CB535E60D9D7

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/R/tidyr.rdb
FileSize144158
MD588CE1116CD3C244AA00DFF95AC02EE8A
SHA-10BB81C5D9269F07E97BB23012054CB535E60D9D7
SHA-256D3DEC63E810481D9C7B6DF8DD49536205B855B45B6C8F1CB7800E506BBAB78C0
SSDEEP3072:/r6FTxQHhd89XeQV/XFOPCjYMCNxz9GZjKfkKOrkACVtPEL6pa/:/r6FTY+X1LdjixkrtrkTsLMM
TLSHT155E312BB4DA2E243BCA87D8061314B31CD7D83A6C814D37D985DE9A3D70B52A48DDBD4
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5E0CC620661792342C5984CB4617E6341
PackageArchx86_64
PackageDescriptionTools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageNameR-tidyr
PackageReleaselp151.1.26
PackageVersion1.1.0
SHA-192053329B411D3E681A8C1A6A19E22DE99981F5D
SHA-2567504EDC77E58BC3A57B22C089816660BA07C519EE244A8CE2939A218B7C95973