Result for 199D30C503F5FF88A4E0F9A797574B8FB2BEE8D9

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/DESCRIPTION
FileSize1757
MD54B04F9743E16EF8DD8AB003E6D17B500
SHA-1199D30C503F5FF88A4E0F9A797574B8FB2BEE8D9
SHA-256443102DAC13035BCEEC0BDF1E46A09266449BE5A0A1264304E6600C393946D39
SSDEEP48:ozbFjE72LSwnRV3DCGX/S2BXN0jUKKnUDvjn9GG:ozhjEaewRFRR2jSUDvgG
TLSHT194319653AD4011B627468284AC614315E6A9C30FAFE53CBC7E0C57681F0C85EAAF987A
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
MD5CA57116C07431A447B10F340B9B71EE4
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
PackageRelease1.6
PackageVersion1.1.0
SHA-1D5E186C2D44EAC6AF3CEE6B59D037350278172D9
SHA-2560CC3A52090783AE1EF5CA71B079742EB05AE986A52C97990877F27F71C661ADD