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CLOC ("Count Lines of Code") analysis of Mail-DKIM-1.20200907.tar.gz (7 Sep 07:50, 177877 Bytes)

About: Mail-DKIM Perl module for implementing the DKIM (DomainKeys Identified Mail) message-signing and verifying standard for Internet mail.



Fossies downloads: /linux/privatMail-DKIM-1.20200907.tar.gz  (tar.bz2|tar.xz|zip)
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No. of package members: 173  (161 files within 12 directories)

Histograms of CLOC analysis data of Mail-DKIM-1.20200907.tar.gz (y-axes: linear scale)
Histograms of CLOC analysis data of Mail-DKIM-1.20200907.tar.gz (y-axes: logarithm scale)

The corresponding CLOC output data:
     161 text files.
     158 unique files.                              
      91 files ignored.

github.com/AlDanial/cloc v 1.86  T=0.10 s (709.4 files/s, 248518.0 lines/s)
-------------------------------------------------------------------------------
Language          files     blank   comment      code    scale   3rd gen. equiv
-------------------------------------------------------------------------------
YAML                   4       418         0      9122 x   0.90 =        8209.80
Perl                  62      4036      4497      6168 x   4.00 =       24672.00
INI                    2        24         8        91 x   1.00 =          91.00
JSON                   1         1         0        85 x   2.50 =         212.50
Markdown               1        24         0        50 x   1.00 =          50.00
-------------------------------------------------------------------------------
SUM:                 70      4503      4505     15516 x   2.14 =       33235.30
-------------------------------------------------------------------------------

A hint: This "standard" CLOC analysis has included all package contents files (with the exception of files generated by code-production systems such as GNU autotools). But there exists a perhaps more "realistic" alternative CLOC analysis (among others better suited for an optional codespell check rating) that tries additionally to exclude third party code but also files containing fonts, codepage or character set definitions, dictionaries, names, SVG or non-English languages.
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