Result for 3848CDF7700C48AE18594D7DBB77618DB4B357C2

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/DESCRIPTION
FileSize1757
MD5264B53525EE8CD72C20E09C82F083DA4
SHA-13848CDF7700C48AE18594D7DBB77618DB4B357C2
SHA-2567FD3F2D744C4C2E5895B51F049E584DB78C45506E53A7B5E43C1BCB9E065CF66
SSDEEP48:ozbFjE72LSwnRV3DCGX/S2BXN0jUKKnUDvjn9GPX:ozhjEaewRFRR2jSUDvgP
TLSHT169319653AD4011B62746828468614315E6A9C30FAFE53CBC7E0C57681F0C46EAAF987A
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
MD5A0EC689A7D2789356D137EECF45A0447
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
PackageRelease1.20
PackageVersion1.1.0
SHA-1B2D62C26E1D96BF45C4A5715CA524CD6E43CB6DC
SHA-256716A23B0293ABD96711804937F5BDDD9CE39E7DA0950156712EDFC1457EBC482