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Welcome to the HTML Tidy Legacy Website! We at HTACG are trying hard to keep this site up to date, but you will certainly find newer information about HTML Tidy at -tidy.org and on our newer Github repository.
With the current version of tidy, LibTidyusers using tidyBuffer need to recompile their code. From tidy dated "23 January 2007", source compatibility should work although explicitly calling tidyBufInit is recommended (see tidy/include/tidy.h for an example).
Tidy data is a standard way of mapping the meaning of a dataset toits structure. A dataset is messy or tidy depending on how rows, columnsand tables are matched up with observations, variables and types. Intidy data:
Real datasets can, and often do, violate the three precepts of tidydata in almost every way imaginable. While occasionally you do get adataset that you can start analysing immediately, this is the exception,not the rule. This section describes the five most common problems withmessy datasets, along with their remedies:
Surprisingly, most messy datasets, including types of messiness notexplicitly described above, can be tidied with a small set of tools:pivoting (longer and wider) and separating. The following sectionsillustrate each problem with a real dataset that I have encountered, andshow how to tidy them.
This dataset has three variables, religion,income and frequency. To tidy it, we need topivot the non-variable columns into a two-columnkey-value pair. This action is often described as making a wide datasetlonger (or taller).
This format is also used to record regularly spaced observations overtime. For example, the Billboard dataset shown below records the date asong first entered the billboard top 100. It has variables forartist, track, date.entered,rank and week. The rank in each week after itenters the top 100 is recorded in 75 columns, wk1 towk75. This form of storage is not tidy, but it is usefulfor data entry. It reduces duplication since otherwise each song in eachweek would need its own row, and song metadata like title and artistwould need to be repeated. This will be discussed in more depth in multiple types.
This dataset is mostly tidy, but the element column isnot a variable; it stores the names of variables. (Not shown in thisexample are the other meteorological variables prcp(precipitation) and snow (snowfall)). Fixing this requireswidening the data: pivot_wider() is inverse ofpivot_longer(), pivoting element andvalue back out across multiple columns:
Normalisation is useful for tidying and eliminating inconsistencies.However, there are few data analysis tools that work directly withrelational data, so analysis usually also requires denormalisation orthe merging the datasets back into one table.
Once you have a single table, you can perform additional tidying asneeded. An example of this type of cleaning can be found at -baby-names which takes129 yearly baby name tables provided by the US Social SecurityAdministration and combines them into a single file.
There you will discover how to build the tidy console application for youroperating system (if necessary), how to use it, and discover examples of allof the great things that Tidy can do.
Satisfied with his work, Dave passed the torch to a dedicated group ofmaintainers at tidy.sourceforge.net where the important tasks of turningTidy into a C library and keeping up with developing standards wasperformed.
The HTML Tidy library, libtidy, is used and incorporated into many applications and projects. It offers anextensive API to read in and parse html from a file or buffer into a DOM like node tree, has cleaning and diagnostic services, ability to iterate through this node tree, interogating attributes, child nodes, and a pretty print output. This is a list of just a few applications and projects.
node-libtidy provides server-side JavaScript bindings for libtidy.It aims to provide not only a high-level interface to a complete tidy run,but also offers methods which closely model the libtidy interface.
tidy-test is a set of sample applications that exercise various aspects of the libtidyAPI. And always looking for more samples. It also includes a CMake module, FindTidy.cmaketo be able to find installed Tidy headers and library for the compile link.
In this chapter, you will learn a consistent way to organise your data in R, an organisation called tidy data. Getting your data into this format requires some upfront work, but that work pays off in the long term. Once you have tidy data and the tidy tools provided by packages in the tidyverse, you will spend much less time munging data from one representation to another, allowing you to spend more time on the analytic questions at hand.
We can use unite() to rejoin the century and year columns that we created in the last example. That data is saved as tidyr::table5. unite() takes a data frame, the name of the new variable to create, and a set of columns to combine, again specified in dplyr::select() style:
But to be really reliable, I think I need to have at least one extra flag in clang-tidy. The main difficulty is that clang-tidy automatically finds two files: The .clang-tidy config and the compile_commands.json .
ccache would then only need to hash that to determine cache hits/misses.
For example, when running ccache clang-tidy -p . -extra-arg=-Wsomewarning src/file.cpp,
ccache would invoke clang-tidy --dump-all-inputs -p . -extra-arg=-Wsomewarning src/file.cpp,
which would output on stdout:
In this chapter, you will learn a consistent way to organize your data in R using a system called tidy data. Getting your data into this format requires some work up front, but that work pays off in the long term. Once you have tidy data and the tidy tools provided by packages in the tidyverse, you will spend much less time munging data from one representation to another, allowing you to spend more time on the data questions you care about.
This data is now tidy, but we could make future computation a bit easier by converting values of week from character strings to numbers using mutate() and readr::parse_number(). parse_number() is a handy function that will extract the first number from a string, ignoring all other text.
When editing HTML it's easy to make mistakes. Wouldn't it benice if there was a simple way to fix these mistakes automaticallyand tidy up sloppy editing into nicely layed out markup? Well nowthere is! Dave Raggett's HTML TIDY is a free utility for doing justthat. It also works great on the atrociously hard to read markupgenerated by specialized HTML editors and conversion tools, and canhelp you identify where you need to pay further attention on makingyour pages more accessible to people with disabilities.
The W3C public email list devoted to HTML Tidy is: . To subscribesend an email to html-tid...@w3.org with the word subscribein the subject line (include the word unsubscribe if you want tounsubscribe). The archive forthis list is accessible online. If you would like to contact thedevelopers, or you just want to submit an enhancement request or abug report, please visit
HTML tidy is not (yet) a Windows program. If you run tidywithout any arguments, it will just sit there waiting to readmarkup on the stdin stream. Tidy's input and output default tostdin and stdout respectively. Errors are written to stderr but canbe redirected to a file with the -f filename option.
I generally use the -m option to get tidy to update the originalfile, and if the file is particularly bad I also use the -f optionto write the errors to a file to make it easier to review them.Tidy supports a small set of character encoding options. Thedefault is ASCII, which makes it easy to edit markup in regulartext editors.
which runs tidy on the file "index.html" updating it in placeand writing the error messages to the file "errs.txt". Its a goodidea to save your work before tidying it, as with all complexsoftware, tidy may have bugs. If you find any please let meknow!
clang-tidy has its own checks and can also run Clang Static Analyzerchecks. Each check has a name and the checks to run can be chosen using the-checks= option, which specifies a comma-separated list of positive andnegative (prefixed with -) globs. Positive globs add subsets of checks, andnegative globs remove them. For example,
Clang diagnostics are treated in a similar way as check diagnostics. Clangdiagnostics are displayed by clang-tidy and can be filtered out usingthe -checks= option. However, the -checks= option does not affectcompilation arguments, so it cannot turn on Clang warnings which are notalready turned on in the build configuration. The -warnings-as-errors=option upgrades any warnings emitted under the -checks= flag to errors (butit does not enable any checks itself).
clang-tidy diagnostics are intended to call out code that does notadhere to a coding standard, or is otherwise problematic in some way. However,if the code is known to be correct, it may be useful to silence the warning.Some clang-tidy checks provide a check-specific way to silence the diagnostics,e.g. bugprone-use-after-move can besilenced by re-initializing the variable after it has been moved out,bugprone-string-integer-assignment can be suppressed byexplicitly casting the integer to char,readability-implicit-bool-conversion can also be suppressed byusing explicit casts, etc.
Looking on the GitHub it appears that it is actually the use of the confint function with default method that is slow (compared to simply using the SE as I mention above). When including many exposure (dozens or hundreds) it means tidy is very slow but produces almost exactly the same CIs as the simple manual method. Is there a more elegant/quick/tidy way to do this?
I want to make a little contribution to rustc and so decided to read Coding conventions - Guide to Rustc Development. It says rustc uses some custom tool called tidy. Why is that? Why don't just make custom lints for clippy?
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