Result for 22650FD4CA1EA068AF3B14B287CA51C405901CB5

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/Meta/package.rds
FileSize1569
MD5ABD6F8AF6991CC7C4E5B5222CE5E5367
SHA-122650FD4CA1EA068AF3B14B287CA51C405901CB5
SHA-25686D33C2224D36C7B4E14B45C92B211E6F6E83FF4E5AE2FA0565191B1B812B9B2
SSDEEP24:XbEK2mbWxx5BSsVk09c43Hrhw/GWHy5sg6trsH97MLxcxaCFdYNOUQvTpdt1oZFX:XbHFWbfSsnF3HGOygZ97M9KYNO/FN1E
TLSHT13D310C3198F77C5589546FB75053062D11B5FD62AE48C5A39080D3F4A2E9210725E1FB
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