Result for 1C9F7FC8528DFBD73BDAE580D23C6E2666D0C6EB

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/R/tidyr.rdb
FileSize143431
MD56EE81EDB1F0400BF35ED9FBBFB86295F
SHA-11C9F7FC8528DFBD73BDAE580D23C6E2666D0C6EB
SHA-25614A9F2D996B4FA77DA3FA3AEB86BBF4540FEE20D0A7DF0D23FE39BB33FBC7755
SSDEEP3072:zwcwwj+q/4M+ieq3Zif43NlM78RhNm1U8dU/PQzmp2:zwBwj+sleqMAdmgavdUAzmQ
TLSHT172E312B74265D9433CB25A80464A1660C1CA9AE6944B4E3BFF3CF5A67B528C4BEF107C
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
MD53A539C95D7374E99B516A1F8903DDD16
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
PackageReleaselp153.1.3
PackageVersion1.1.4
SHA-1A55A21AA70F53769CAD03E9F90645E0553C22447
SHA-25630AABB46662C3F1618A26C729F8C2510835F4ED034E54AF4B2EFBB86CC7486DD