Result for 0A9F0464AB46BE88B7AD6F1B81CEE23CA85BDE96

Query result

Key Value
FileName./usr/lib64/R/library/tidyr/R/tidyr.rdb
FileSize144684
MD5AEF03886D65305307ACC545B13E448C3
SHA-10A9F0464AB46BE88B7AD6F1B81CEE23CA85BDE96
SHA-256E767527E077610ADBD8B414377D5DB3A4E0A6270B8BD7D72B951728E1E765B9F
SSDEEP3072:gCmRb5aBZNxA4fXaCkXgqWAkxra4jqSbn8oyCK0fx/ohs0+2v9obsG:YfaDxA2qCkXTk4Qb/K9DqJ
TLSHT1C8E3123E0D2FF9E028A9A5F8C270CA82709C4F07D66802373516CB9D54698B6DCBD45B
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
MD5F602B9B05752F94B221496B10549A9A1
PackageArchaarch64
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).
PackageMaintainerFedora Project
PackageNameR-tidyr
PackageRelease1.fc33
PackageVersion1.1.2
SHA-10F4E37E7539C73E0E748A4BFCA0B9975634F8675
SHA-256D19C87157BBD3A40EE730CFE136667495E9B969396F33547366F219AE414FE65