Result for 2F66B09F0C79784A7526D32D2421BBD29B1D9258

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/R/tidyr.rdb
FileSize144148
MD5D69F7D7F75086F1AA9966CAD9C9F55BF
SHA-12F66B09F0C79784A7526D32D2421BBD29B1D9258
SHA-2561BD694C1A0F92A04DDD49C144B76705ECAF977E28499CC4959F049596AEB691E
SSDEEP3072:j4OFTxQHhd89XeQV/XFOPCjYMCNxz9GZjKfkKOrkACVtPEL6pa/:jxFTY+X1LdjixkrtrkTsLMM
TLSHT15DE3127B8DA2E643BDA87E8061314B35CC7D83A6C815C37DA858F9A3D60A52E04DD7D4
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
MD5572790B12410B744E49DAD4C01D58F1D
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
PackageRelease1.48
PackageVersion1.1.0
SHA-1EB8DB0B3A27784EC006099D2216F7B4C59B4D6C2
SHA-256B55CA0EC6B857B09EA01B688514A737653F7FDE18EAACF0318E7B297F0E18657