X-Git-Url: http://demsky.eecs.uci.edu/git/?a=blobdiff_plain;f=docs%2FYamlIO.rst;h=f0baeb4c69d49a497712f2f4636d7d806ed8bb3f;hb=168ef6633093984e64eb8cb157cc9664da6dbfa6;hp=8b45b6bb85b77a9b00ff35c8aef146c965dd6871;hpb=0b74b0823fced2ad1b7bab30c1547842dfa692fb;p=oota-llvm.git diff --git a/docs/YamlIO.rst b/docs/YamlIO.rst index 8b45b6bb85b..f0baeb4c69d 100644 --- a/docs/YamlIO.rst +++ b/docs/YamlIO.rst @@ -467,6 +467,56 @@ looks like: // Determine if this scalar needs quotes. static bool mustQuote(StringRef) { return true; } }; + +Block Scalars +------------- + +YAML block scalars are string literals that are represented in YAML using the +literal block notation, just like the example shown below: + +.. code-block:: yaml + + text: | + First line + Second line + +The YAML I/O library provides support for translating between YAML block scalars +and specific C++ types by allowing you to specialize BlockScalarTraits<> on +your data type. The library doesn't provide any built-in support for block +scalar I/O for types like std::string and llvm::StringRef as they are already +supported by YAML I/O and use the ordinary scalar notation by default. + +BlockScalarTraits specializations are very similar to the +ScalarTraits specialization - YAML I/O will provide the native type and your +specialization must create a temporary llvm::StringRef when writing, and +it will also provide an llvm::StringRef that has the value of that block scalar +and your specialization must convert that to your native data type when reading. +An example of a custom type with an appropriate specialization of +BlockScalarTraits is shown below: + +.. code-block:: c++ + + using llvm::yaml::BlockScalarTraits; + using llvm::yaml::IO; + + struct MyStringType { + std::string Str; + }; + + template <> + struct BlockScalarTraits { + static void output(const MyStringType &Value, void *Ctxt, + llvm::raw_ostream &OS) { + OS << Value.Str; + } + + static StringRef input(StringRef Scalar, void *Ctxt, + MyStringType &Value) { + Value.Str = Scalar.str(); + return StringRef(); + } + }; + Mappings @@ -723,6 +773,33 @@ because it is a programming error to have invalid struct values. } }; +Flow Mapping +------------ +A YAML "flow mapping" is a mapping that uses the inline notation +(e.g { x: 1, y: 0 } ) when written to YAML. To specify that a type should be +written in YAML using flow mapping, your MappingTraits specialization should +add "static const bool flow = true;". For instance: + +.. code-block:: c++ + + using llvm::yaml::MappingTraits; + using llvm::yaml::IO; + + struct Stuff { + ... + }; + + template <> + struct MappingTraits { + static void mapping(IO &io, Stuff &stuff) { + ... + } + + static const bool flow = true; + } + +Flow mappings are subject to line wrapping according to the Output object +configuration. Sequence ======== @@ -770,6 +847,8 @@ With the above, if you used MyList as the data type in your native data structures, then when converted to YAML, a flow sequence of integers will be used (e.g. [ 10, -3, 4 ]). +Flow sequences are subject to line wrapping according to the Output object +configuration. Utility Macros -------------- @@ -833,14 +912,14 @@ Output The llvm::yaml::Output class is used to generate a YAML document from your in-memory data structures, using traits defined on your data types. -To instantiate an Output object you need an llvm::raw_ostream, and optionally -a context pointer: +To instantiate an Output object you need an llvm::raw_ostream, an optional +context pointer and an optional wrapping column: .. code-block:: c++ class Output : public IO { public: - Output(llvm::raw_ostream &, void *context=NULL); + Output(llvm::raw_ostream &, void *context = NULL, int WrapColumn = 70); Once you have an Output object, you can use the C++ stream operator on it to write your native data as YAML. One thing to recall is that a YAML file @@ -849,6 +928,10 @@ streaming as YAML is a mapping, scalar, or sequence, then Output assumes you are generating one document and wraps the mapping output with "``---``" and trailing "``...``". +The WrapColumn parameter will cause the flow mappings and sequences to +line-wrap when they go over the supplied column. Pass 0 to completely +suppress the wrapping. + .. code-block:: c++ using llvm::yaml::Output;