Result for 12594C11E192EF05809972FAAE97674753338263

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/Meta/package.rds
FileSize1569
MD514105CDB5601FFAD35D636CDB44D2AE8
SHA-112594C11E192EF05809972FAAE97674753338263
SHA-256D8CBD7FC7B7214D9847A60830F1CCE84339325D32A0E0E5785EA53A6BBF30C99
SSDEEP24:Xb9IS3ybrRVR8T1pxkqSlWqOhXMsjpmrMrmWe4OIYYGviN96FWdbKCkmrwRle:Xb9XySnxkT4wsVm6je4OI14i2YImk6
TLSHT161312A46489082BB8820F7F7D4D4D13C2321B842D6D2D29C14ECC8A399D83940AF8331
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