Result for 0EA766362E4EC03CE509A7FEE3E0B4CCE8C751D6

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/R/tidyr.rdx
FileSize2413
MD5AD073EBF12F775AF8773AC367C527C68
SHA-10EA766362E4EC03CE509A7FEE3E0B4CCE8C751D6
SHA-25617D4945E4F25CA40D9E9BB1C912ABC94322753B055C94A51EAD81DA2CC9854E2
SSDEEP48:X8tnIURTn49dYPGLbybuvhO42tKR7sf1JZoDtNb3LoS/DZX3UcdjESQKjIGA:G/x49dkGLGbuvdR7sftoDtCSLyMnWGA
TLSHT153413B4621A2A1B0757FA63EEEA908D55C93AF2183C0725C4D1588D22CAC82BE21EA07
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
MD5E5F9BF9C13A5412F5A133F3CC44B7DAB
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
PackageRelease1.50
PackageVersion1.1.0
SHA-10292F2647E76B75C8F0DD1FFA800E1F7304DFB6E
SHA-256774F6EF52513129E5873457A9F5B0BF43C0C61848858A4A6C5BC15243AC4E4FF