Result for 0068342F0C57AE9137D05E4F92F29A996D9A72DF

Query result

Key Value
FileName./usr/lib/R/library/tidyr/R/tidyr.rdb
FileSize144145
MD589D0FB864D1166CDE04735089B7B4F7E
SHA-10068342F0C57AE9137D05E4F92F29A996D9A72DF
SHA-2561DD7153FA78923C123A7BDA1FA7B6973DDAF124F42CCA7CCC493C0D4B6E4600B
SSDEEP3072:ktFTxQHhd89XeQV/XFOPCjYMCNxz9GZjKfkKOrkACVtPEL6pa/:IFTY+X1LdjixkrtrkTsLMM
TLSHT1FBE3127B8DA6E243B9A4BD4060204B31DD7DC3A5C811C37DA85DF9A3D60F62A18DEBD4
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
MD576456CF2568B0A8B7E9E3052FC0E8873
PackageArchi586
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
PackageRelease1.50
PackageVersion1.1.0
SHA-18431F3F0DE2613FE7481294478B2DA27E21ED306
SHA-256B6A461440727CE484E0B59A09664C6FACDE0276916F571BA919C6DF5AE5300FE