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Audio Software icon An illustration of a 3. If the file does not have a recognized extension or is not a recognized scripting language, the file is ignored. All remaining files in the candidate list should now be source files for known programming languages. For each of these files:. The options modify the algorithm slightly. The --read-lang-def option for example allows the user to read definitions of comment filters, known file extensions, and known scripting languages from a file.
The code for this option is processed between Steps 2 and 3. How can you tell if cloc correctly identifies comments? One way to convince yourself cloc is doing the right thing is to use its --strip-comments option to remove comments and blank lines from files, then compare the stripped-down files to originals. Let's try this out with the SQLite amalgamation, a C file containing all code needed to build the SQLite library along with a header file:. The extension argument given to --strip-comments is arbitrary; here nc was used as an abbreviation for "no comments".
We can now compare the original file, sqlite3. A rigorous proof that the stripped-down file contains the same C code as the original is to compile these files and compare checksums of the resulting object files. Versions of cloc before v1. Beginning with v1. At the moment the automatic extraction method works reasonably well on Unix-type OS's for the following file types:.
While not especially helpful when dealing with a single compressed archive after all, if you're going to type the extraction command anyway why not just manually expand the archive? If that Unix machine has GNU tar which can uncompress and extract in one step the command can be shortened to. Examples of counting a Java. The --diff switch allows one to measure the relative change in source code and comments between two versions of a file, directory, or archive.
Differences reveal much more than absolute code counts of two file versions. For example, say a source file has lines and its developer delivers a newer version with lines.
Did the developer add two comment lines, or delete seventeen source lines and add fourteen source lines and five comment lines, or did the developer do a complete rewrite, discarding all original lines and adding lines of all new source? The diff option tells how many lines of source were added, removed, modified or stayed the same, and how many lines of comments were added, removed, modified or stayed the same.
Differences in blank lines are handled much more coarsely because these are stripped by cloc early on. Unless a file pair is identical, cloc will report only differences in absolute counts of blank lines. In other words, one can expect to see only entries for 'added' if the second file has more blanks than the first, and 'removed' if the situation is reversed.
The entry for 'same' will be non-zero only when the two files are identical. In addition to file pairs, one can give cloc pairs of directories, or pairs of file archives, or a file archive and a directory.
For example, to see what changed between GCC 4. Be prepared to wait a while for the results though; the --diff option runs much more slowly than an absolute code count. To see how cloc aligns files between the two archives, use the --diff-alignment option. Here's sample output showing the difference between the Python 2.
A pair of errors occurred. Note: this refers to performing differences with the sdiff function in the Perl Algorithm::Diff module, not the command line diff utility. This error can be overcome by raising the time to, say, 20 seconds with --diff-timeout The second error is more problematic.
Nested C comments yield erroneous results however. This can be useful when you want to use cloc to count lines of a language not yet included, to change association of file extensions to languages, or to modify the way existing languages are counted.
The easiest way to create a custom language definition file is to make cloc write its definitions to a file, then modify that file:. The difference between the options is former merges language definitions from the given file in with cloc's internal definitions with cloc's taking precedence if there are overlaps. The --force-lang-def option, on the other hand, replaces cloc's definitions completely.
This option has a disadvantage in preventing cloc from counting languages whose extensions map to multiple languages as these languages require additional logic that is not easily expressed in a definitions file. A filter defines a method to remove comment text from the source file. Its intent is to identify lines with both code and comments and it may be implemented in the future. A more complete discussion of the different filter options may appear here in the future. The output of cloc's --write-lang-def option should provide enough examples for motivated individuals to modify or extend cloc's language definitions.
If you manage multiple software projects you might be interested in seeing line counts by project, not just by language. The teams responsible for each of these projects run cloc on their source code and provide you with the output.
For example MariaDB team does. The contents of the three files you get are. While these three files are interesting, you also want to see the combined counts from all projects. The report combination produces two output files, one for sums by programming language databases. Their contents are. Report files themselves can be summed together. Say you also manage development of Perl and Python and you want to keep track of those line counts separately from your database projects.
First create reports for Perl and Python separately:. One limitation of the --sum-reports feature is that the individual counts must be saved in the plain text format. Once the code count information is in a database, the information can be interrogated and displayed in interesting ways.
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