Result for 185B8DC2074B208C7730EF9DD5B95CD0CD3C869F

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/DESCRIPTION
FileSize1757
MD5BB94726AB0FA5572A870679A0DA13D5F
SHA-1185B8DC2074B208C7730EF9DD5B95CD0CD3C869F
SHA-256965CE75400E9B8A02BE8959383F379A121009E4C11633F9CAB45FDA24F6B119A
SSDEEP48:ozbFjE72LSwnRV3DCGX/S2BXN0jUKKnUDvjn9G/:ozhjEaewRFRR2jSUDvg/
TLSHT145319653AD4011B62786828568614315E6A9C30FAFE53CBC7E0C57681F0C85EAAF987A
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
MD5340E9589361EF1A1CDAA312BD38F94B7
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
PackageReleaselp153.1.14
PackageVersion1.1.0
SHA-139FFA30F8F86D4343759896CEAB09F9718A00763
SHA-256FD5780B2DC354949C41001C8B3A5B1768768DBE9C5F17D7FE2F01BE961A0A248