Result for 220349E63D7688ED98B1E210FB4AF91B8D7ED580

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/Meta/package.rds
FileSize1604
MD532355DF94C84E96F527EC3EB4B6AE786
SHA-1220349E63D7688ED98B1E210FB4AF91B8D7ED580
SHA-256755917B0F9203F7D6AA942B032D471D3267D726C983F068D52A68683EC933529
SSDEEP48:XqIzPVtIECrzSX2r0hVnOXF4I9gnBcLBdmtX:60YtSZ7n4F4I9W0dmtX
TLSHT13D31EA62021F158545FC20C3BCB806FC95BD7EB847ACD6B5A5032903917B44A9B73DC5
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
MD5AEC556C24C6E31528B6D65236FD1C504
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
PackageRelease1.8
PackageVersion1.1.4
SHA-1A72ACE17D8936FED86DF9617BDCC92ED4C88A0DD
SHA-256CEEC9EB3E8088F0ADE36EE6E4223F1EDCE082F0BC912615AB8D074A2B08A1E82