“Clang” CFE Internals Manual¶
- Introduction
- LLVM Support Library
- The Clang “Basic” Library
- The Driver Library
- Precompiled Headers
- The Frontend Library
- The Lexer and Preprocessor Library
- The Parser Library
- The AST Library
- The Sema Library
- The CodeGen Library
- How to change Clang
Introduction¶
This document describes some of the more important APIs and internal design decisions made in the Clang C front-end. The purpose of this document is to both capture some of this high level information and also describe some of the design decisions behind it. This is meant for people interested in hacking on Clang, not for end-users. The description below is categorized by libraries, and does not describe any of the clients of the libraries.
LLVM Support Library¶
The LLVM libSupport
library provides many underlying libraries and
data-structures, including
command line option processing, various containers and a system abstraction
layer, which is used for file system access.
The Clang “Basic” Library¶
This library certainly needs a better name. The “basic” library contains a number of low-level utilities for tracking and manipulating source buffers, locations within the source buffers, diagnostics, tokens, target abstraction, and information about the subset of the language being compiled for.
Part of this infrastructure is specific to C (such as the TargetInfo
class), other parts could be reused for other non-C-based languages
(SourceLocation
, SourceManager
, Diagnostics
, FileManager
).
When and if there is future demand we can figure out if it makes sense to
introduce a new library, move the general classes somewhere else, or introduce
some other solution.
We describe the roles of these classes in order of their dependencies.
The Diagnostics Subsystem¶
The Clang Diagnostics subsystem is an important part of how the compiler
communicates with the human. Diagnostics are the warnings and errors produced
when the code is incorrect or dubious. In Clang, each diagnostic produced has
(at the minimum) a unique ID, an English translation associated with it, a
SourceLocation to “put the caret”, and a severity
(e.g., WARNING
or ERROR
). They can also optionally include a number of
arguments to the diagnostic (which fill in “%0“‘s in the string) as well as a
number of source ranges that related to the diagnostic.
In this section, we’ll be giving examples produced by the Clang command line
driver, but diagnostics can be rendered in many different ways depending on how the DiagnosticClient
interface is
implemented. A representative example of a diagnostic is:
t.c:38:15: error: invalid operands to binary expression ('int *' and '_Complex float')
P = (P-42) + Gamma*4;
~~~~~~ ^ ~~~~~~~
In this example, you can see the English translation, the severity (error), you
can see the source location (the caret (“^
”) and file/line/column info),
the source ranges “~~~~
”, arguments to the diagnostic (“int*
” and
“_Complex float
”). You’ll have to believe me that there is a unique ID
backing the diagnostic :).
Getting all of this to happen has several steps and involves many moving pieces, this section describes them and talks about best practices when adding a new diagnostic.
The Diagnostic*Kinds.td
files¶
Diagnostics are created by adding an entry to one of the
clang/Basic/Diagnostic*Kinds.td
files, depending on what library will be
using it. From this file, tblgen generates the unique ID of the
diagnostic, the severity of the diagnostic and the English translation + format
string.
There is little sanity with the naming of the unique ID’s right now. Some
start with err_
, warn_
, ext_
to encode the severity into the name.
Since the enum is referenced in the C++ code that produces the diagnostic, it
is somewhat useful for it to be reasonably short.
The severity of the diagnostic comes from the set {NOTE
, REMARK
,
WARNING
,
EXTENSION
, EXTWARN
, ERROR
}. The ERROR
severity is used for
diagnostics indicating the program is never acceptable under any circumstances.
When an error is emitted, the AST for the input code may not be fully built.
The EXTENSION
and EXTWARN
severities are used for extensions to the
language that Clang accepts. This means that Clang fully understands and can
represent them in the AST, but we produce diagnostics to tell the user their
code is non-portable. The difference is that the former are ignored by
default, and the later warn by default. The WARNING
severity is used for
constructs that are valid in the currently selected source language but that
are dubious in some way. The REMARK
severity provides generic information
about the compilation that is not necessarily related to any dubious code. The
NOTE
level is used to staple more information onto previous diagnostics.
These severities are mapped into a smaller set (the Diagnostic::Level
enum, {Ignored
, Note
, Remark
, Warning
, Error
, Fatal
}) of
output
levels by the diagnostics subsystem based on various configuration options.
Clang internally supports a fully fine grained mapping mechanism that allows
you to map almost any diagnostic to the output level that you want. The only
diagnostics that cannot be mapped are NOTE
s, which always follow the
severity of the previously emitted diagnostic and ERROR
s, which can only
be mapped to Fatal
(it is not possible to turn an error into a warning, for
example).
Diagnostic mappings are used in many ways. For example, if the user specifies
-pedantic
, EXTENSION
maps to Warning
, if they specify
-pedantic-errors
, it turns into Error
. This is used to implement
options like -Wunused_macros
, -Wundef
etc.
Mapping to Fatal
should only be used for diagnostics that are considered so
severe that error recovery won’t be able to recover sensibly from them (thus
spewing a ton of bogus errors). One example of this class of error are failure
to #include
a file.
The Format String¶
The format string for the diagnostic is very simple, but it has some power. It takes the form of a string in English with markers that indicate where and how arguments to the diagnostic are inserted and formatted. For example, here are some simple format strings:
"binary integer literals are an extension"
"format string contains '\\0' within the string body"
"more '%%' conversions than data arguments"
"invalid operands to binary expression (%0 and %1)"
"overloaded '%0' must be a %select{unary|binary|unary or binary}2 operator"
" (has %1 parameter%s1)"
These examples show some important points of format strings. You can use any
plain ASCII character in the diagnostic string except “%
” without a
problem, but these are C strings, so you have to use and be aware of all the C
escape sequences (as in the second example). If you want to produce a “%
”
in the output, use the “%%
” escape sequence, like the third diagnostic.
Finally, Clang uses the “%...[digit]
” sequences to specify where and how
arguments to the diagnostic are formatted.
Arguments to the diagnostic are numbered according to how they are specified by
the C++ code that produces them, and are
referenced by %0
.. %9
. If you have more than 10 arguments to your
diagnostic, you are doing something wrong :). Unlike printf
, there is no
requirement that arguments to the diagnostic end up in the output in the same
order as they are specified, you could have a format string with “%1 %0
”
that swaps them, for example. The text in between the percent and digit are
formatting instructions. If there are no instructions, the argument is just
turned into a string and substituted in.
Here are some “best practices” for writing the English format string:
- Keep the string short. It should ideally fit in the 80 column limit of the
DiagnosticKinds.td
file. This avoids the diagnostic wrapping when printed, and forces you to think about the important point you are conveying with the diagnostic. - Take advantage of location information. The user will be able to see the line and location of the caret, so you don’t need to tell them that the problem is with the 4th argument to the function: just point to it.
- Do not capitalize the diagnostic string, and do not end it with a period.
- If you need to quote something in the diagnostic string, use single quotes.
Diagnostics should never take random English strings as arguments: you
shouldn’t use “you have a problem with %0
” and pass in things like “your
argument
” or “your return value
” as arguments. Doing this prevents
translating the Clang diagnostics to other
languages (because they’ll get random English words in their otherwise
localized diagnostic). The exceptions to this are C/C++ language keywords
(e.g., auto
, const
, mutable
, etc) and C/C++ operators (/=
).
Note that things like “pointer” and “reference” are not keywords. On the other
hand, you can include anything that comes from the user’s source code,
including variable names, types, labels, etc. The “select
” format can be
used to achieve this sort of thing in a localizable way, see below.
Formatting a Diagnostic Argument¶
Arguments to diagnostics are fully typed internally, and come from a couple
different classes: integers, types, names, and random strings. Depending on
the class of the argument, it can be optionally formatted in different ways.
This gives the DiagnosticClient
information about what the argument means
without requiring it to use a specific presentation (consider this MVC for
Clang :).
Here are the different diagnostic argument formats currently supported by Clang:
“s” format
- Example:
"requires %1 parameter%s1"
- Class:
- Integers
- Description:
- This is a simple formatter for integers that is useful when producing English
diagnostics. When the integer is 1, it prints as nothing. When the integer
is not 1, it prints as “
s
”. This allows some simple grammatical forms to be to be handled correctly, and eliminates the need to use gross things like"requires %1 parameter(s)"
.
“select” format
- Example:
"must be a %select{unary|binary|unary or binary}2 operator"
- Class:
- Integers
- Description:
- This format specifier is used to merge multiple related diagnostics together
into one common one, without requiring the difference to be specified as an
English string argument. Instead of specifying the string, the diagnostic
gets an integer argument and the format string selects the numbered option.
In this case, the “
%2
” value must be an integer in the range [0..2]. If it is 0, it prints “unary”, if it is 1 it prints “binary” if it is 2, it prints “unary or binary”. This allows other language translations to substitute reasonable words (or entire phrases) based on the semantics of the diagnostic instead of having to do things textually. The selected string does undergo formatting.
“plural” format
- Example:
"you have %1 %plural{1:mouse|:mice}1 connected to your computer"
- Class:
- Integers
- Description:
This is a formatter for complex plural forms. It is designed to handle even the requirements of languages with very complex plural forms, as many Baltic languages have. The argument consists of a series of expression/form pairs, separated by “:”, where the first form whose expression evaluates to true is the result of the modifier.
An expression can be empty, in which case it is always true. See the example at the top. Otherwise, it is a series of one or more numeric conditions, separated by “,”. If any condition matches, the expression matches. Each numeric condition can take one of three forms.
- number: A simple decimal number matches if the argument is the same as the
number. Example:
"%plural{1:mouse|:mice}4"
- range: A range in square brackets matches if the argument is within the
range. Then range is inclusive on both ends. Example:
"%plural{0:none|1:one|[2,5]:some|:many}2"
- modulo: A modulo operator is followed by a number, and equals sign and
either a number or a range. The tests are the same as for plain numbers
and ranges, but the argument is taken modulo the number first. Example:
"%plural{%100=0:even hundred|%100=[1,50]:lower half|:everything else}1"
The parser is very unforgiving. A syntax error, even whitespace, will abort, as will a failure to match the argument against any expression.
- number: A simple decimal number matches if the argument is the same as the
number. Example:
“ordinal” format
- Example:
"ambiguity in %ordinal0 argument"
- Class:
- Integers
- Description:
- This is a formatter which represents the argument number as an ordinal: the
value
1
becomes1st
,3
becomes3rd
, and so on. Values less than1
are not supported. This formatter is currently hard-coded to use English ordinals.
“objcclass” format
- Example:
"method %objcclass0 not found"
- Class:
DeclarationName
- Description:
- This is a simple formatter that indicates the
DeclarationName
corresponds to an Objective-C class method selector. As such, it prints the selector with a leading “+
”.
“objcinstance” format
- Example:
"method %objcinstance0 not found"
- Class:
DeclarationName
- Description:
- This is a simple formatter that indicates the
DeclarationName
corresponds to an Objective-C instance method selector. As such, it prints the selector with a leading “-
“.
“q” format
- Example:
"candidate found by name lookup is %q0"
- Class:
NamedDecl *
- Description:
- This formatter indicates that the fully-qualified name of the declaration
should be printed, e.g., “
std::vector
” rather than “vector
”.
“diff” format
- Example:
"no known conversion %diff{from $ to $|from argument type to parameter type}1,2"
- Class:
QualType
- Description:
- This formatter takes two
QualType
s and attempts to print a template difference between the two. If tree printing is off, the text inside the braces before the pipe is printed, with the formatted text replacing the $. If tree printing is on, the text after the pipe is printed and a type tree is printed after the diagnostic message.
It is really easy to add format specifiers to the Clang diagnostics system, but they should be discussed before they are added. If you are creating a lot of repetitive diagnostics and/or have an idea for a useful formatter, please bring it up on the cfe-dev mailing list.
Producing the Diagnostic¶
Now that you’ve created the diagnostic in the Diagnostic*Kinds.td
file, you
need to write the code that detects the condition in question and emits the new
diagnostic. Various components of Clang (e.g., the preprocessor, Sema
,
etc.) provide a helper function named “Diag
”. It creates a diagnostic and
accepts the arguments, ranges, and other information that goes along with it.
For example, the binary expression error comes from code like this:
if (various things that are bad)
Diag(Loc, diag::err_typecheck_invalid_operands)
<< lex->getType() << rex->getType()
<< lex->getSourceRange() << rex->getSourceRange();
This shows that use of the Diag
method: it takes a location (a
SourceLocation object) and a diagnostic enum value
(which matches the name from Diagnostic*Kinds.td
). If the diagnostic takes
arguments, they are specified with the <<
operator: the first argument
becomes %0
, the second becomes %1
, etc. The diagnostic interface
allows you to specify arguments of many different types, including int
and
unsigned
for integer arguments, const char*
and std::string
for
string arguments, DeclarationName
and const IdentifierInfo *
for names,
QualType
for types, etc. SourceRange
s are also specified with the
<<
operator, but do not have a specific ordering requirement.
As you can see, adding and producing a diagnostic is pretty straightforward. The hard part is deciding exactly what you need to say to help the user, picking a suitable wording, and providing the information needed to format it correctly. The good news is that the call site that issues a diagnostic should be completely independent of how the diagnostic is formatted and in what language it is rendered.
Fix-It Hints¶
In some cases, the front end emits diagnostics when it is clear that some small change to the source code would fix the problem. For example, a missing semicolon at the end of a statement or a use of deprecated syntax that is easily rewritten into a more modern form. Clang tries very hard to emit the diagnostic and recover gracefully in these and other cases.
However, for these cases where the fix is obvious, the diagnostic can be annotated with a hint (referred to as a “fix-it hint”) that describes how to change the code referenced by the diagnostic to fix the problem. For example, it might add the missing semicolon at the end of the statement or rewrite the use of a deprecated construct into something more palatable. Here is one such example from the C++ front end, where we warn about the right-shift operator changing meaning from C++98 to C++11:
test.cpp:3:7: warning: use of right-shift operator ('>>') in template argument
will require parentheses in C++11
A<100 >> 2> *a;
^
( )
Here, the fix-it hint is suggesting that parentheses be added, and showing exactly where those parentheses would be inserted into the source code. The fix-it hints themselves describe what changes to make to the source code in an abstract manner, which the text diagnostic printer renders as a line of “insertions” below the caret line. Other diagnostic clients might choose to render the code differently (e.g., as markup inline) or even give the user the ability to automatically fix the problem.
Fix-it hints on errors and warnings need to obey these rules:
- Since they are automatically applied if
-Xclang -fixit
is passed to the driver, they should only be used when it’s very likely they match the user’s intent. - Clang must recover from errors as if the fix-it had been applied.
If a fix-it can’t obey these rules, put the fix-it on a note. Fix-its on notes are not applied automatically.
All fix-it hints are described by the FixItHint
class, instances of which
should be attached to the diagnostic using the <<
operator in the same way
that highlighted source ranges and arguments are passed to the diagnostic.
Fix-it hints can be created with one of three constructors:
FixItHint::CreateInsertion(Loc, Code)
Specifies that the given
Code
(a string) should be inserted before the source locationLoc
.FixItHint::CreateRemoval(Range)
Specifies that the code in the given source
Range
should be removed.FixItHint::CreateReplacement(Range, Code)
Specifies that the code in the given source
Range
should be removed, and replaced with the givenCode
string.
The DiagnosticClient
Interface¶
Once code generates a diagnostic with all of the arguments and the rest of the
relevant information, Clang needs to know what to do with it. As previously
mentioned, the diagnostic machinery goes through some filtering to map a
severity onto a diagnostic level, then (assuming the diagnostic is not mapped
to “Ignore
”) it invokes an object that implements the DiagnosticClient
interface with the information.
It is possible to implement this interface in many different ways. For
example, the normal Clang DiagnosticClient
(named
TextDiagnosticPrinter
) turns the arguments into strings (according to the
various formatting rules), prints out the file/line/column information and the
string, then prints out the line of code, the source ranges, and the caret.
However, this behavior isn’t required.
Another implementation of the DiagnosticClient
interface is the
TextDiagnosticBuffer
class, which is used when Clang is in -verify
mode. Instead of formatting and printing out the diagnostics, this
implementation just captures and remembers the diagnostics as they fly by.
Then -verify
compares the list of produced diagnostics to the list of
expected ones. If they disagree, it prints out its own output. Full
documentation for the -verify
mode can be found in the Clang API
documentation for VerifyDiagnosticConsumer.
There are many other possible implementations of this interface, and this is why we prefer diagnostics to pass down rich structured information in arguments. For example, an HTML output might want declaration names be linkified to where they come from in the source. Another example is that a GUI might let you click on typedefs to expand them. This application would want to pass significantly more information about types through to the GUI than a simple flat string. The interface allows this to happen.
Adding Translations to Clang¶
Not possible yet! Diagnostic strings should be written in UTF-8, the client can translate to the relevant code page if needed. Each translation completely replaces the format string for the diagnostic.
The SourceLocation
and SourceManager
classes¶
Strangely enough, the SourceLocation
class represents a location within the
source code of the program. Important design points include:
sizeof(SourceLocation)
must be extremely small, as these are embedded into many AST nodes and are passed around often. Currently it is 32 bits.SourceLocation
must be a simple value object that can be efficiently copied.- We should be able to represent a source location for any byte of any input file. This includes in the middle of tokens, in whitespace, in trigraphs, etc.
- A
SourceLocation
must encode the current#include
stack that was active when the location was processed. For example, if the location corresponds to a token, it should contain the set of#include
s active when the token was lexed. This allows us to print the#include
stack for a diagnostic. SourceLocation
must be able to describe macro expansions, capturing both the ultimate instantiation point and the source of the original character data.
In practice, the SourceLocation
works together with the SourceManager
class to encode two pieces of information about a location: its spelling
location and its expansion location. For most tokens, these will be the
same. However, for a macro expansion (or tokens that came from a _Pragma
directive) these will describe the location of the characters corresponding to
the token and the location where the token was used (i.e., the macro
expansion point or the location of the _Pragma
itself).
The Clang front-end inherently depends on the location of a token being tracked
correctly. If it is ever incorrect, the front-end may get confused and die.
The reason for this is that the notion of the “spelling” of a Token
in
Clang depends on being able to find the original input characters for the
token. This concept maps directly to the “spelling location” for the token.
SourceRange
and CharSourceRange
¶
Clang represents most source ranges by [first, last], where “first” and “last”
each point to the beginning of their respective tokens. For example consider
the SourceRange
of the following statement:
x = foo + bar;
^first ^last
To map from this representation to a character-based representation, the “last”
location needs to be adjusted to point to (or past) the end of that token with
either Lexer::MeasureTokenLength()
or Lexer::getLocForEndOfToken()
. For
the rare cases where character-level source ranges information is needed we use
the CharSourceRange
class.
The Driver Library¶
The clang Driver and library are documented here.
Precompiled Headers¶
Clang supports two implementations of precompiled headers. The default implementation, precompiled headers (PCH) uses a serialized representation of Clang’s internal data structures, encoded with the LLVM bitstream format. Pretokenized headers (PTH), on the other hand, contain a serialized representation of the tokens encountered when preprocessing a header (and anything that header includes).
The Frontend Library¶
The Frontend library contains functionality useful for building tools on top of the Clang libraries, for example several methods for outputting diagnostics.
The Lexer and Preprocessor Library¶
The Lexer library contains several tightly-connected classes that are involved
with the nasty process of lexing and preprocessing C source code. The main
interface to this library for outside clients is the large Preprocessor
class. It contains the various pieces of state that are required to coherently
read tokens out of a translation unit.
The core interface to the Preprocessor
object (once it is set up) is the
Preprocessor::Lex
method, which returns the next Token from
the preprocessor stream. There are two types of token providers that the
preprocessor is capable of reading from: a buffer lexer (provided by the
Lexer class) and a buffered token stream (provided by the
TokenLexer class).
The Token class¶
The Token
class is used to represent a single lexed token. Tokens are
intended to be used by the lexer/preprocess and parser libraries, but are not
intended to live beyond them (for example, they should not live in the ASTs).
Tokens most often live on the stack (or some other location that is efficient
to access) as the parser is running, but occasionally do get buffered up. For
example, macro definitions are stored as a series of tokens, and the C++
front-end periodically needs to buffer tokens up for tentative parsing and
various pieces of look-ahead. As such, the size of a Token
matters. On a
32-bit system, sizeof(Token)
is currently 16 bytes.
Tokens occur in two forms: annotation tokens and normal tokens. Normal tokens are those returned by the lexer, annotation tokens represent semantic information and are produced by the parser, replacing normal tokens in the token stream. Normal tokens contain the following information:
- A SourceLocation — This indicates the location of the start of the token.
- A length — This stores the length of the token as stored in the
SourceBuffer
. For tokens that include them, this length includes trigraphs and escaped newlines which are ignored by later phases of the compiler. By pointing into the original source buffer, it is always possible to get the original spelling of a token completely accurately. - IdentifierInfo — If a token takes the form of an identifier, and if
identifier lookup was enabled when the token was lexed (e.g., the lexer was
not reading in “raw” mode) this contains a pointer to the unique hash value
for the identifier. Because the lookup happens before keyword
identification, this field is set even for language keywords like “
for
”. - TokenKind — This indicates the kind of token as classified by the
lexer. This includes things like
tok::starequal
(for the “*=
” operator),tok::ampamp
for the “&&
” token, and keyword values (e.g.,tok::kw_for
) for identifiers that correspond to keywords. Note that some tokens can be spelled multiple ways. For example, C++ supports “operator keywords”, where things like “and
” are treated exactly like the “&&
” operator. In these cases, the kind value is set totok::ampamp
, which is good for the parser, which doesn’t have to consider both forms. For something that cares about which form is used (e.g., the preprocessor “stringize” operator) the spelling indicates the original form. - Flags — There are currently four flags tracked by the
lexer/preprocessor system on a per-token basis:
- StartOfLine — This was the first token that occurred on its input source line.
- LeadingSpace — There was a space character either immediately before the token or transitively before the token as it was expanded through a macro. The definition of this flag is very closely defined by the stringizing requirements of the preprocessor.
- DisableExpand — This flag is used internally to the preprocessor to represent identifier tokens which have macro expansion disabled. This prevents them from being considered as candidates for macro expansion ever in the future.
- NeedsCleaning — This flag is set if the original spelling for the token includes a trigraph or escaped newline. Since this is uncommon, many pieces of code can fast-path on tokens that did not need cleaning.
One interesting (and somewhat unusual) aspect of normal tokens is that they don’t contain any semantic information about the lexed value. For example, if the token was a pp-number token, we do not represent the value of the number that was lexed (this is left for later pieces of code to decide). Additionally, the lexer library has no notion of typedef names vs variable names: both are returned as identifiers, and the parser is left to decide whether a specific identifier is a typedef or a variable (tracking this requires scope information among other things). The parser can do this translation by replacing tokens returned by the preprocessor with “Annotation Tokens”.
Annotation Tokens¶
Annotation tokens are tokens that are synthesized by the parser and injected
into the preprocessor’s token stream (replacing existing tokens) to record
semantic information found by the parser. For example, if “foo
” is found
to be a typedef, the “foo
” tok::identifier
token is replaced with an
tok::annot_typename
. This is useful for a couple of reasons: 1) this makes
it easy to handle qualified type names (e.g., “foo::bar::baz<42>::t
”) in
C++ as a single “token” in the parser. 2) if the parser backtracks, the
reparse does not need to redo semantic analysis to determine whether a token
sequence is a variable, type, template, etc.
Annotation tokens are created by the parser and reinjected into the parser’s
token stream (when backtracking is enabled). Because they can only exist in
tokens that the preprocessor-proper is done with, it doesn’t need to keep
around flags like “start of line” that the preprocessor uses to do its job.
Additionally, an annotation token may “cover” a sequence of preprocessor tokens
(e.g., “a::b::c
” is five preprocessor tokens). As such, the valid fields
of an annotation token are different than the fields for a normal token (but
they are multiplexed into the normal Token
fields):
- SourceLocation “Location” — The
SourceLocation
for the annotation token indicates the first token replaced by the annotation token. In the example above, it would be the location of the “a
” identifier. - SourceLocation “AnnotationEndLoc” — This holds the location of the last
token replaced with the annotation token. In the example above, it would be
the location of the “
c
” identifier. - void* “AnnotationValue” — This contains an opaque object that the
parser gets from
Sema
. The parser merely preserves the information forSema
to later interpret based on the annotation token kind. - TokenKind “Kind” — This indicates the kind of Annotation token this is. See below for the different valid kinds.
Annotation tokens currently come in three kinds:
- tok::annot_typename: This annotation token represents a resolved
typename token that is potentially qualified. The
AnnotationValue
field contains theQualType
returned bySema::getTypeName()
, possibly with source location information attached. - tok::annot_cxxscope: This annotation token represents a C++ scope
specifier, such as “
A::B::
”. This corresponds to the grammar productions “::” and “:: [opt] nested-name-specifier”. TheAnnotationValue
pointer is aNestedNameSpecifier *
returned by theSema::ActOnCXXGlobalScopeSpecifier
andSema::ActOnCXXNestedNameSpecifier
callbacks. - tok::annot_template_id: This annotation token represents a C++
template-id such as “
foo<int, 4>
”, where “foo
” is the name of a template. TheAnnotationValue
pointer is a pointer to amalloc
’dTemplateIdAnnotation
object. Depending on the context, a parsed template-id that names a type might become a typename annotation token (if all we care about is the named type, e.g., because it occurs in a type specifier) or might remain a template-id token (if we want to retain more source location information or produce a new type, e.g., in a declaration of a class template specialization). template-id annotation tokens that refer to a type can be “upgraded” to typename annotation tokens by the parser.
As mentioned above, annotation tokens are not returned by the preprocessor,
they are formed on demand by the parser. This means that the parser has to be
aware of cases where an annotation could occur and form it where appropriate.
This is somewhat similar to how the parser handles Translation Phase 6 of C99:
String Concatenation (see C99 5.1.1.2). In the case of string concatenation,
the preprocessor just returns distinct tok::string_literal
and
tok::wide_string_literal
tokens and the parser eats a sequence of them
wherever the grammar indicates that a string literal can occur.
In order to do this, whenever the parser expects a tok::identifier
or
tok::coloncolon
, it should call the TryAnnotateTypeOrScopeToken
or
TryAnnotateCXXScopeToken
methods to form the annotation token. These
methods will maximally form the specified annotation tokens and replace the
current token with them, if applicable. If the current tokens is not valid for
an annotation token, it will remain an identifier or “::
” token.
The Lexer
class¶
The Lexer
class provides the mechanics of lexing tokens out of a source
buffer and deciding what they mean. The Lexer
is complicated by the fact
that it operates on raw buffers that have not had spelling eliminated (this is
a necessity to get decent performance), but this is countered with careful
coding as well as standard performance techniques (for example, the comment
handling code is vectorized on X86 and PowerPC hosts).
The lexer has a couple of interesting modal features:
- The lexer can operate in “raw” mode. This mode has several features that
make it possible to quickly lex the file (e.g., it stops identifier lookup,
doesn’t specially handle preprocessor tokens, handles EOF differently, etc).
This mode is used for lexing within an “
#if 0
” block, for example. - The lexer can capture and return comments as tokens. This is required to
support the
-C
preprocessor mode, which passes comments through, and is used by the diagnostic checker to identifier expect-error annotations. - The lexer can be in
ParsingFilename
mode, which happens when preprocessing after reading a#include
directive. This mode changes the parsing of “<
” to return an “angled string” instead of a bunch of tokens for each thing within the filename. - When parsing a preprocessor directive (after “
#
”) theParsingPreprocessorDirective
mode is entered. This changes the parser to return EOD at a newline. - The
Lexer
uses aLangOptions
object to know whether trigraphs are enabled, whether C++ or ObjC keywords are recognized, etc.
In addition to these modes, the lexer keeps track of a couple of other features that are local to a lexed buffer, which change as the buffer is lexed:
- The
Lexer
usesBufferPtr
to keep track of the current character being lexed. - The
Lexer
usesIsAtStartOfLine
to keep track of whether the next lexed token will start with its “start of line” bit set. - The
Lexer
keeps track of the current “#if
” directives that are active (which can be nested). - The
Lexer
keeps track of an MultipleIncludeOpt object, which is used to detect whether the buffer uses the standard “#ifndef XX
/#define XX
” idiom to prevent multiple inclusion. If a buffer does, subsequent includes can be ignored if the “XX
” macro is defined.
The TokenLexer
class¶
The TokenLexer
class is a token provider that returns tokens from a list of
tokens that came from somewhere else. It typically used for two things: 1)
returning tokens from a macro definition as it is being expanded 2) returning
tokens from an arbitrary buffer of tokens. The later use is used by
_Pragma
and will most likely be used to handle unbounded look-ahead for the
C++ parser.
The MultipleIncludeOpt
class¶
The MultipleIncludeOpt
class implements a really simple little state
machine that is used to detect the standard “#ifndef XX
/ #define XX
”
idiom that people typically use to prevent multiple inclusion of headers. If a
buffer uses this idiom and is subsequently #include
’d, the preprocessor can
simply check to see whether the guarding condition is defined or not. If so,
the preprocessor can completely ignore the include of the header.
The Parser Library¶
This library contains a recursive-descent parser that polls tokens from the preprocessor and notifies a client of the parsing progress.
Historically, the parser used to talk to an abstract Action
interface that
had virtual methods for parse events, for example ActOnBinOp()
. When Clang
grew C++ support, the parser stopped supporting general Action
clients –
it now always talks to the Sema library. However, the Parser
still accesses AST objects only through opaque types like ExprResult
and
StmtResult
. Only Sema looks at the AST node contents of these
wrappers.
The AST Library¶
The Type
class and its subclasses¶
The Type
class (and its subclasses) are an important part of the AST.
Types are accessed through the ASTContext
class, which implicitly creates
and uniques them as they are needed. Types have a couple of non-obvious
features: 1) they do not capture type qualifiers like const
or volatile
(see QualType), and 2) they implicitly capture typedef
information. Once created, types are immutable (unlike decls).
Typedefs in C make semantic analysis a bit more complex than it would be without them. The issue is that we want to capture typedef information and represent it in the AST perfectly, but the semantics of operations need to “see through” typedefs. For example, consider this code:
void func() {
typedef int foo;
foo X, *Y;
typedef foo *bar;
bar Z;
*X; // error
**Y; // error
**Z; // error
}
The code above is illegal, and thus we expect there to be diagnostics emitted on the annotated lines. In this example, we expect to get:
test.c:6:1: error: indirection requires pointer operand ('foo' invalid)
*X; // error
^~
test.c:7:1: error: indirection requires pointer operand ('foo' invalid)
**Y; // error
^~~
test.c:8:1: error: indirection requires pointer operand ('foo' invalid)
**Z; // error
^~~
While this example is somewhat silly, it illustrates the point: we want to
retain typedef information where possible, so that we can emit errors about
“std::string
” instead of “std::basic_string<char, std:...
”. Doing this
requires properly keeping typedef information (for example, the type of X
is “foo
”, not “int
”), and requires properly propagating it through the
various operators (for example, the type of *Y
is “foo
”, not
“int
”). In order to retain this information, the type of these expressions
is an instance of the TypedefType
class, which indicates that the type of
these expressions is a typedef for “foo
”.
Representing types like this is great for diagnostics, because the user-specified type is always immediately available. There are two problems with this: first, various semantic checks need to make judgements about the actual structure of a type, ignoring typedefs. Second, we need an efficient way to query whether two types are structurally identical to each other, ignoring typedefs. The solution to both of these problems is the idea of canonical types.
Canonical Types¶
Every instance of the Type
class contains a canonical type pointer. For
simple types with no typedefs involved (e.g., “int
”, “int*
”,
“int**
”), the type just points to itself. For types that have a typedef
somewhere in their structure (e.g., “foo
”, “foo*
”, “foo**
”,
“bar
”), the canonical type pointer points to their structurally equivalent
type without any typedefs (e.g., “int
”, “int*
”, “int**
”, and
“int*
” respectively).
This design provides a constant time operation (dereferencing the canonical type
pointer) that gives us access to the structure of types. For example, we can
trivially tell that “bar
” and “foo*
” are the same type by dereferencing
their canonical type pointers and doing a pointer comparison (they both point
to the single “int*
” type).
Canonical types and typedef types bring up some complexities that must be
carefully managed. Specifically, the isa
/cast
/dyn_cast
operators
generally shouldn’t be used in code that is inspecting the AST. For example,
when type checking the indirection operator (unary “*
” on a pointer), the
type checker must verify that the operand has a pointer type. It would not be
correct to check that with “isa<PointerType>(SubExpr->getType())
”, because
this predicate would fail if the subexpression had a typedef type.
The solution to this problem are a set of helper methods on Type
, used to
check their properties. In this case, it would be correct to use
“SubExpr->getType()->isPointerType()
” to do the check. This predicate will
return true if the canonical type is a pointer, which is true any time the
type is structurally a pointer type. The only hard part here is remembering
not to use the isa
/cast
/dyn_cast
operations.
The second problem we face is how to get access to the pointer type once we
know it exists. To continue the example, the result type of the indirection
operator is the pointee type of the subexpression. In order to determine the
type, we need to get the instance of PointerType
that best captures the
typedef information in the program. If the type of the expression is literally
a PointerType
, we can return that, otherwise we have to dig through the
typedefs to find the pointer type. For example, if the subexpression had type
“foo*
”, we could return that type as the result. If the subexpression had
type “bar
”, we want to return “foo*
” (note that we do not want
“int*
”). In order to provide all of this, Type
has a
getAsPointerType()
method that checks whether the type is structurally a
PointerType
and, if so, returns the best one. If not, it returns a null
pointer.
This structure is somewhat mystical, but after meditating on it, it will make sense to you :).
The QualType
class¶
The QualType
class is designed as a trivial value class that is small,
passed by-value and is efficient to query. The idea of QualType
is that it
stores the type qualifiers (const
, volatile
, restrict
, plus some
extended qualifiers required by language extensions) separately from the types
themselves. QualType
is conceptually a pair of “Type*
” and the bits
for these type qualifiers.
By storing the type qualifiers as bits in the conceptual pair, it is extremely
efficient to get the set of qualifiers on a QualType
(just return the field
of the pair), add a type qualifier (which is a trivial constant-time operation
that sets a bit), and remove one or more type qualifiers (just return a
QualType
with the bitfield set to empty).
Further, because the bits are stored outside of the type itself, we do not need
to create duplicates of types with different sets of qualifiers (i.e. there is
only a single heap allocated “int
” type: “const int
” and “volatile
const int
” both point to the same heap allocated “int
” type). This
reduces the heap size used to represent bits and also means we do not have to
consider qualifiers when uniquing types (Type does not even
contain qualifiers).
In practice, the two most common type qualifiers (const
and restrict
)
are stored in the low bits of the pointer to the Type
object, together with
a flag indicating whether extended qualifiers are present (which must be
heap-allocated). This means that QualType
is exactly the same size as a
pointer.
Declaration names¶
The DeclarationName
class represents the name of a declaration in Clang.
Declarations in the C family of languages can take several different forms.
Most declarations are named by simple identifiers, e.g., “f
” and “x
” in
the function declaration f(int x)
. In C++, declaration names can also name
class constructors (“Class
” in struct Class { Class(); }
), class
destructors (“~Class
”), overloaded operator names (“operator+
”), and
conversion functions (“operator void const *
”). In Objective-C,
declaration names can refer to the names of Objective-C methods, which involve
the method name and the parameters, collectively called a selector, e.g.,
“setWidth:height:
”. Since all of these kinds of entities — variables,
functions, Objective-C methods, C++ constructors, destructors, and operators
— are represented as subclasses of Clang’s common NamedDecl
class,
DeclarationName
is designed to efficiently represent any kind of name.
Given a DeclarationName
N
, N.getNameKind()
will produce a value
that describes what kind of name N
stores. There are 10 options (all of
the names are inside the DeclarationName
class).
Identifier
The name is a simple identifier. UseN.getAsIdentifierInfo()
to retrieve the correspondingIdentifierInfo*
pointing to the actual identifier.
ObjCZeroArgSelector
, ObjCOneArgSelector
, ObjCMultiArgSelector
The name is an Objective-C selector, which can be retrieved as aSelector
instance viaN.getObjCSelector()
. The three possible name kinds for Objective-C reflect an optimization within theDeclarationName
class: both zero- and one-argument selectors are stored as a maskedIdentifierInfo
pointer, and therefore require very little space, since zero- and one-argument selectors are far more common than multi-argument selectors (which use a different structure).
CXXConstructorName
The name is a C++ constructor name. UseN.getCXXNameType()
to retrieve the type that this constructor is meant to construct. The type is always the canonical type, since all constructors for a given type have the same name.
CXXDestructorName
The name is a C++ destructor name. UseN.getCXXNameType()
to retrieve the type whose destructor is being named. This type is always a canonical type.
CXXConversionFunctionName
The name is a C++ conversion function. Conversion functions are named according to the type they convert to, e.g., “operator void const *
”. UseN.getCXXNameType()
to retrieve the type that this conversion function converts to. This type is always a canonical type.
CXXOperatorName
The name is a C++ overloaded operator name. Overloaded operators are named according to their spelling, e.g., “operator+
” or “operator new []
”. UseN.getCXXOverloadedOperator()
to retrieve the overloaded operator (a value of typeOverloadedOperatorKind
).
CXXLiteralOperatorName
The name is a C++11 user defined literal operator. User defined Literal operators are named according to the suffix they define, e.g., “_foo
” for “operator "" _foo
”. UseN.getCXXLiteralIdentifier()
to retrieve the correspondingIdentifierInfo*
pointing to the identifier.
CXXUsingDirective
The name is a C++ using directive. Using directives are not really NamedDecls, in that they all have the same name, but they are implemented as such in order to store them in DeclContext effectively.
DeclarationName
s are cheap to create, copy, and compare. They require
only a single pointer’s worth of storage in the common cases (identifiers,
zero- and one-argument Objective-C selectors) and use dense, uniqued storage
for the other kinds of names. Two DeclarationName
s can be compared for
equality (==
, !=
) using a simple bitwise comparison, can be ordered
with <
, >
, <=
, and >=
(which provide a lexicographical ordering
for normal identifiers but an unspecified ordering for other kinds of names),
and can be placed into LLVM DenseMap
s and DenseSet
s.
DeclarationName
instances can be created in different ways depending on
what kind of name the instance will store. Normal identifiers
(IdentifierInfo
pointers) and Objective-C selectors (Selector
) can be
implicitly converted to DeclarationNames
. Names for C++ constructors,
destructors, conversion functions, and overloaded operators can be retrieved
from the DeclarationNameTable
, an instance of which is available as
ASTContext::DeclarationNames
. The member functions
getCXXConstructorName
, getCXXDestructorName
,
getCXXConversionFunctionName
, and getCXXOperatorName
, respectively,
return DeclarationName
instances for the four kinds of C++ special function
names.
Declaration contexts¶
Every declaration in a program exists within some declaration context, such
as a translation unit, namespace, class, or function. Declaration contexts in
Clang are represented by the DeclContext
class, from which the various
declaration-context AST nodes (TranslationUnitDecl
, NamespaceDecl
,
RecordDecl
, FunctionDecl
, etc.) will derive. The DeclContext
class
provides several facilities common to each declaration context:
Source-centric vs. Semantics-centric View of Declarations
DeclContext
provides two views of the declarations stored within a declaration context. The source-centric view accurately represents the program source code as written, including multiple declarations of entities where present (see the section Redeclarations and Overloads), while the semantics-centric view represents the program semantics. The two views are kept synchronized by semantic analysis while the ASTs are being constructed.
Storage of declarations within that context
Every declaration context can contain some number of declarations. For example, a C++ class (represented byRecordDecl
) contains various member functions, fields, nested types, and so on. All of these declarations will be stored within theDeclContext
, and one can iterate over the declarations via [DeclContext::decls_begin()
,DeclContext::decls_end()
). This mechanism provides the source-centric view of declarations in the context.
Lookup of declarations within that context
TheDeclContext
structure provides efficient name lookup for names within that declaration context. For example, ifN
is a namespace we can look for the nameN::f
usingDeclContext::lookup
. The lookup itself is based on a lazily-constructed array (for declaration contexts with a small number of declarations) or hash table (for declaration contexts with more declarations). The lookup operation provides the semantics-centric view of the declarations in the context.
Ownership of declarations
TheDeclContext
owns all of the declarations that were declared within its declaration context, and is responsible for the management of their memory as well as their (de-)serialization.
All declarations are stored within a declaration context, and one can query
information about the context in which each declaration lives. One can
retrieve the DeclContext
that contains a particular Decl
using
Decl::getDeclContext
. However, see the section
Lexical and Semantic Contexts for more information about how to interpret
this context information.
Redeclarations and Overloads¶
Within a translation unit, it is common for an entity to be declared several
times. For example, we might declare a function “f
” and then later
re-declare it as part of an inlined definition:
void f(int x, int y, int z = 1);
inline void f(int x, int y, int z) { /* ... */ }
The representation of “f
” differs in the source-centric and
semantics-centric views of a declaration context. In the source-centric view,
all redeclarations will be present, in the order they occurred in the source
code, making this view suitable for clients that wish to see the structure of
the source code. In the semantics-centric view, only the most recent “f
”
will be found by the lookup, since it effectively replaces the first
declaration of “f
”.
In the semantics-centric view, overloading of functions is represented
explicitly. For example, given two declarations of a function “g
” that are
overloaded, e.g.,
void g();
void g(int);
the DeclContext::lookup
operation will return a
DeclContext::lookup_result
that contains a range of iterators over
declarations of “g
”. Clients that perform semantic analysis on a program
that is not concerned with the actual source code will primarily use this
semantics-centric view.
Lexical and Semantic Contexts¶
Each declaration has two potentially different declaration contexts: a
lexical context, which corresponds to the source-centric view of the
declaration context, and a semantic context, which corresponds to the
semantics-centric view. The lexical context is accessible via
Decl::getLexicalDeclContext
while the semantic context is accessible via
Decl::getDeclContext
, both of which return DeclContext
pointers. For
most declarations, the two contexts are identical. For example:
class X {
public:
void f(int x);
};
Here, the semantic and lexical contexts of X::f
are the DeclContext
associated with the class X
(itself stored as a RecordDecl
AST node).
However, we can now define X::f
out-of-line:
void X::f(int x = 17) { /* ... */ }
This definition of “f
” has different lexical and semantic contexts. The
lexical context corresponds to the declaration context in which the actual
declaration occurred in the source code, e.g., the translation unit containing
X
. Thus, this declaration of X::f
can be found by traversing the
declarations provided by [decls_begin()
, decls_end()
) in the
translation unit.
The semantic context of X::f
corresponds to the class X
, since this
member function is (semantically) a member of X
. Lookup of the name f
into the DeclContext
associated with X
will then return the definition
of X::f
(including information about the default argument).
Transparent Declaration Contexts¶
In C and C++, there are several contexts in which names that are logically declared inside another declaration will actually “leak” out into the enclosing scope from the perspective of name lookup. The most obvious instance of this behavior is in enumeration types, e.g.,
enum Color {
Red,
Green,
Blue
};
Here, Color
is an enumeration, which is a declaration context that contains
the enumerators Red
, Green
, and Blue
. Thus, traversing the list of
declarations contained in the enumeration Color
will yield Red
,
Green
, and Blue
. However, outside of the scope of Color
one can
name the enumerator Red
without qualifying the name, e.g.,
Color c = Red;
There are other entities in C++ that provide similar behavior. For example, linkage specifications that use curly braces:
extern "C" {
void f(int);
void g(int);
}
// f and g are visible here
For source-level accuracy, we treat the linkage specification and enumeration
type as a declaration context in which its enclosed declarations (“Red
”,
“Green
”, and “Blue
”; “f
” and “g
”) are declared. However, these
declarations are visible outside of the scope of the declaration context.
These language features (and several others, described below) have roughly the
same set of requirements: declarations are declared within a particular lexical
context, but the declarations are also found via name lookup in scopes
enclosing the declaration itself. This feature is implemented via
transparent declaration contexts (see
DeclContext::isTransparentContext()
), whose declarations are visible in the
nearest enclosing non-transparent declaration context. This means that the
lexical context of the declaration (e.g., an enumerator) will be the
transparent DeclContext
itself, as will the semantic context, but the
declaration will be visible in every outer context up to and including the
first non-transparent declaration context (since transparent declaration
contexts can be nested).
The transparent DeclContext
s are:
Enumerations (but not C++11 “scoped enumerations”):
enum Color { Red, Green, Blue }; // Red, Green, and Blue are in scope
C++ linkage specifications:
extern "C" { void f(int); void g(int); } // f and g are in scope
Anonymous unions and structs:
struct LookupTable { bool IsVector; union { std::vector<Item> *Vector; std::set<Item> *Set; }; }; LookupTable LT; LT.Vector = 0; // Okay: finds Vector inside the unnamed union
C++11 inline namespaces:
namespace mylib { inline namespace debug { class X; } } mylib::X *xp; // okay: mylib::X refers to mylib::debug::X
Multiply-Defined Declaration Contexts¶
C++ namespaces have the interesting — and, so far, unique — property that the namespace can be defined multiple times, and the declarations provided by each namespace definition are effectively merged (from the semantic point of view). For example, the following two code snippets are semantically indistinguishable:
// Snippet #1:
namespace N {
void f();
}
namespace N {
void f(int);
}
// Snippet #2:
namespace N {
void f();
void f(int);
}
In Clang’s representation, the source-centric view of declaration contexts will
actually have two separate NamespaceDecl
nodes in Snippet #1, each of which
is a declaration context that contains a single declaration of “f
”.
However, the semantics-centric view provided by name lookup into the namespace
N
for “f
” will return a DeclContext::lookup_result
that contains a
range of iterators over declarations of “f
”.
DeclContext
manages multiply-defined declaration contexts internally. The
function DeclContext::getPrimaryContext
retrieves the “primary” context for
a given DeclContext
instance, which is the DeclContext
responsible for
maintaining the lookup table used for the semantics-centric view. Given a
DeclContext, one can obtain the set of declaration contexts that are
semantically connected to this declaration context, in source order, including
this context (which will be the only result, for non-namespace contexts) via
DeclContext::collectAllContexts
. Note that these functions are used
internally within the lookup and insertion methods of the DeclContext
, so
the vast majority of clients can ignore them.
The CFG
class¶
The CFG
class is designed to represent a source-level control-flow graph
for a single statement (Stmt*
). Typically instances of CFG
are
constructed for function bodies (usually an instance of CompoundStmt
), but
can also be instantiated to represent the control-flow of any class that
subclasses Stmt
, which includes simple expressions. Control-flow graphs
are especially useful for performing flow- or path-sensitive program
analyses on a given function.
Basic Blocks¶
Concretely, an instance of CFG
is a collection of basic blocks. Each basic
block is an instance of CFGBlock
, which simply contains an ordered sequence
of Stmt*
(each referring to statements in the AST). The ordering of
statements within a block indicates unconditional flow of control from one
statement to the next. Conditional control-flow is represented using edges between basic blocks. The
statements within a given CFGBlock
can be traversed using the
CFGBlock::*iterator
interface.
A CFG
object owns the instances of CFGBlock
within the control-flow
graph it represents. Each CFGBlock
within a CFG is also uniquely numbered
(accessible via CFGBlock::getBlockID()
). Currently the number is based on
the ordering the blocks were created, but no assumptions should be made on how
CFGBlocks
are numbered other than their numbers are unique and that they
are numbered from 0..N-1 (where N is the number of basic blocks in the CFG).
Entry and Exit Blocks¶
Each instance of CFG
contains two special blocks: an entry block
(accessible via CFG::getEntry()
), which has no incoming edges, and an
exit block (accessible via CFG::getExit()
), which has no outgoing edges.
Neither block contains any statements, and they serve the role of providing a
clear entrance and exit for a body of code such as a function body. The
presence of these empty blocks greatly simplifies the implementation of many
analyses built on top of CFGs.
Conditional Control-Flow¶
Conditional control-flow (such as those induced by if-statements and loops) is
represented as edges between CFGBlocks
. Because different C language
constructs can induce control-flow, each CFGBlock
also records an extra
Stmt*
that represents the terminator of the block. A terminator is
simply the statement that caused the control-flow, and is used to identify the
nature of the conditional control-flow between blocks. For example, in the
case of an if-statement, the terminator refers to the IfStmt
object in the
AST that represented the given branch.
To illustrate, consider the following code example:
int foo(int x) {
x = x + 1;
if (x > 2)
x++;
else {
x += 2;
x *= 2;
}
return x;
}
After invoking the parser+semantic analyzer on this code fragment, the AST of
the body of foo
is referenced by a single Stmt*
. We can then construct
an instance of CFG
representing the control-flow graph of this function
body by single call to a static class method:
Stmt *FooBody = ...
std::unique_ptr<CFG> FooCFG = CFG::buildCFG(FooBody);
Along with providing an interface to iterate over its CFGBlocks
, the
CFG
class also provides methods that are useful for debugging and
visualizing CFGs. For example, the method CFG::dump()
dumps a
pretty-printed version of the CFG to standard error. This is especially useful
when one is using a debugger such as gdb. For example, here is the output of
FooCFG->dump()
:
[ B5 (ENTRY) ]
Predecessors (0):
Successors (1): B4
[ B4 ]
1: x = x + 1
2: (x > 2)
T: if [B4.2]
Predecessors (1): B5
Successors (2): B3 B2
[ B3 ]
1: x++
Predecessors (1): B4
Successors (1): B1
[ B2 ]
1: x += 2
2: x *= 2
Predecessors (1): B4
Successors (1): B1
[ B1 ]
1: return x;
Predecessors (2): B2 B3
Successors (1): B0
[ B0 (EXIT) ]
Predecessors (1): B1
Successors (0):
For each block, the pretty-printed output displays for each block the number of predecessor blocks (blocks that have outgoing control-flow to the given block) and successor blocks (blocks that have control-flow that have incoming control-flow from the given block). We can also clearly see the special entry and exit blocks at the beginning and end of the pretty-printed output. For the entry block (block B5), the number of predecessor blocks is 0, while for the exit block (block B0) the number of successor blocks is 0.
The most interesting block here is B4, whose outgoing control-flow represents
the branching caused by the sole if-statement in foo
. Of particular
interest is the second statement in the block, (x > 2)
, and the terminator,
printed as if [B4.2]
. The second statement represents the evaluation of
the condition of the if-statement, which occurs before the actual branching of
control-flow. Within the CFGBlock
for B4, the Stmt*
for the second
statement refers to the actual expression in the AST for (x > 2)
. Thus
pointers to subclasses of Expr
can appear in the list of statements in a
block, and not just subclasses of Stmt
that refer to proper C statements.
The terminator of block B4 is a pointer to the IfStmt
object in the AST.
The pretty-printer outputs if [B4.2]
because the condition expression of
the if-statement has an actual place in the basic block, and thus the
terminator is essentially referring to the expression that is the second
statement of block B4 (i.e., B4.2). In this manner, conditions for
control-flow (which also includes conditions for loops and switch statements)
are hoisted into the actual basic block.
Constant Folding in the Clang AST¶
There are several places where constants and constant folding matter a lot to
the Clang front-end. First, in general, we prefer the AST to retain the source
code as close to how the user wrote it as possible. This means that if they
wrote “5+4
”, we want to keep the addition and two constants in the AST, we
don’t want to fold to “9
”. This means that constant folding in various
ways turns into a tree walk that needs to handle the various cases.
However, there are places in both C and C++ that require constants to be
folded. For example, the C standard defines what an “integer constant
expression” (i-c-e) is with very precise and specific requirements. The
language then requires i-c-e’s in a lot of places (for example, the size of a
bitfield, the value for a case statement, etc). For these, we have to be able
to constant fold the constants, to do semantic checks (e.g., verify bitfield
size is non-negative and that case statements aren’t duplicated). We aim for
Clang to be very pedantic about this, diagnosing cases when the code does not
use an i-c-e where one is required, but accepting the code unless running with
-pedantic-errors
.
Things get a little bit more tricky when it comes to compatibility with
real-world source code. Specifically, GCC has historically accepted a huge
superset of expressions as i-c-e’s, and a lot of real world code depends on
this unfortunate accident of history (including, e.g., the glibc system
headers). GCC accepts anything its “fold” optimizer is capable of reducing to
an integer constant, which means that the definition of what it accepts changes
as its optimizer does. One example is that GCC accepts things like “case
X-X:
” even when X
is a variable, because it can fold this to 0.
Another issue are how constants interact with the extensions we support, such
as __builtin_constant_p
, __builtin_inf
, __extension__
and many
others. C99 obviously does not specify the semantics of any of these
extensions, and the definition of i-c-e does not include them. However, these
extensions are often used in real code, and we have to have a way to reason
about them.
Finally, this is not just a problem for semantic analysis. The code generator
and other clients have to be able to fold constants (e.g., to initialize global
variables) and has to handle a superset of what C99 allows. Further, these
clients can benefit from extended information. For example, we know that
“foo() || 1
” always evaluates to true
, but we can’t replace the
expression with true
because it has side effects.
Implementation Approach¶
After trying several different approaches, we’ve finally converged on a design
(Note, at the time of this writing, not all of this has been implemented,
consider this a design goal!). Our basic approach is to define a single
recursive evaluation method (Expr::Evaluate
), which is implemented
in AST/ExprConstant.cpp
. Given an expression with “scalar” type (integer,
fp, complex, or pointer) this method returns the following information:
- Whether the expression is an integer constant expression, a general constant that was folded but has no side effects, a general constant that was folded but that does have side effects, or an uncomputable/unfoldable value.
- If the expression was computable in any way, this method returns the
APValue
for the result of the expression. - If the expression is not evaluatable at all, this method returns information
on one of the problems with the expression. This includes a
SourceLocation
for where the problem is, and a diagnostic ID that explains the problem. The diagnostic should haveERROR
type. - If the expression is not an integer constant expression, this method returns
information on one of the problems with the expression. This includes a
SourceLocation
for where the problem is, and a diagnostic ID that explains the problem. The diagnostic should haveEXTENSION
type.
This information gives various clients the flexibility that they want, and we
will eventually have some helper methods for various extensions. For example,
Sema
should have a Sema::VerifyIntegerConstantExpression
method, which
calls Evaluate
on the expression. If the expression is not foldable, the
error is emitted, and it would return true
. If the expression is not an
i-c-e, the EXTENSION
diagnostic is emitted. Finally it would return
false
to indicate that the AST is OK.
Other clients can use the information in other ways, for example, codegen can just use expressions that are foldable in any way.
Extensions¶
This section describes how some of the various extensions Clang supports interacts with constant evaluation:
__extension__
: The expression form of this extension causes any evaluatable subexpression to be accepted as an integer constant expression.__builtin_constant_p
: This returns true (as an integer constant expression) if the operand evaluates to either a numeric value (that is, not a pointer cast to integral type) of integral, enumeration, floating or complex type, or if it evaluates to the address of the first character of a string literal (possibly cast to some other type). As a special case, if__builtin_constant_p
is the (potentially parenthesized) condition of a conditional operator expression (“?:
”), only the true side of the conditional operator is considered, and it is evaluated with full constant folding.__builtin_choose_expr
: The condition is required to be an integer constant expression, but we accept any constant as an “extension of an extension”. This only evaluates one operand depending on which way the condition evaluates.__builtin_classify_type
: This always returns an integer constant expression.__builtin_inf, nan, ...
: These are treated just like a floating-point literal.__builtin_abs, copysign, ...
: These are constant folded as general constant expressions.__builtin_strlen
andstrlen
: These are constant folded as integer constant expressions if the argument is a string literal.
The Sema Library¶
This library is called by the Parser library during parsing to do semantic analysis of the input. For valid programs, Sema builds an AST for parsed constructs.
The CodeGen Library¶
CodeGen takes an AST as input and produces LLVM IR code from it.
How to change Clang¶
How to add an attribute¶
Attributes are a form of metadata that can be attached to a program construct, allowing the programmer to pass semantic information along to the compiler for various uses. For example, attributes may be used to alter the code generation for a program construct, or to provide extra semantic information for static analysis. This document explains how to add a custom attribute to Clang. Documentation on existing attributes can be found here.
Attribute Basics¶
Attributes in Clang are handled in three stages: parsing into a parsed attribute representation, conversion from a parsed attribute into a semantic attribute, and then the semantic handling of the attribute.
Parsing of the attribute is determined by the various syntactic forms attributes
can take, such as GNU, C++11, and Microsoft style attributes, as well as other
information provided by the table definition of the attribute. Ultimately, the
parsed representation of an attribute object is an AttributeList
object.
These parsed attributes chain together as a list of parsed attributes attached
to a declarator or declaration specifier. The parsing of attributes is handled
automatically by Clang, except for attributes spelled as keywords. When
implementing a keyword attribute, the parsing of the keyword and creation of the
AttributeList
object must be done manually.
Eventually, Sema::ProcessDeclAttributeList()
is called with a Decl
and
an AttributeList
, at which point the parsed attribute can be transformed
into a semantic attribute. The process by which a parsed attribute is converted
into a semantic attribute depends on the attribute definition and semantic
requirements of the attribute. The end result, however, is that the semantic
attribute object is attached to the Decl
object, and can be obtained by a
call to Decl::getAttr<T>()
.
The structure of the semantic attribute is also governed by the attribute
definition given in Attr.td. This definition is used to automatically generate
functionality used for the implementation of the attribute, such as a class
derived from clang::Attr
, information for the parser to use, automated
semantic checking for some attributes, etc.
include/clang/Basic/Attr.td
¶
The first step to adding a new attribute to Clang is to add its definition to
include/clang/Basic/Attr.td.
This tablegen definition must derive from the Attr
(tablegen, not
semantic) type, or one of its derivatives. Most attributes will derive from the
InheritableAttr
type, which specifies that the attribute can be inherited by
later redeclarations of the Decl
it is associated with.
InheritableParamAttr
is similar to InheritableAttr
, except that the
attribute is written on a parameter instead of a declaration. If the attribute
is intended to apply to a type instead of a declaration, such an attribute
should derive from TypeAttr
, and will generally not be given an AST
representation. (Note that this document does not cover the creation of type
attributes.) An attribute that inherits from IgnoredAttr
is parsed, but will
generate an ignored attribute diagnostic when used, which may be useful when an
attribute is supported by another vendor but not supported by clang.
The definition will specify several key pieces of information, such as the
semantic name of the attribute, the spellings the attribute supports, the
arguments the attribute expects, and more. Most members of the Attr
tablegen
type do not require definitions in the derived definition as the default
suffice. However, every attribute must specify at least a spelling list, a
subject list, and a documentation list.
Spellings¶
All attributes are required to specify a spelling list that denotes the ways in which the attribute can be spelled. For instance, a single semantic attribute may have a keyword spelling, as well as a C++11 spelling and a GNU spelling. An empty spelling list is also permissible and may be useful for attributes which are created implicitly. The following spellings are accepted:
Spelling Description GNU
Spelled with a GNU-style __attribute__((attr))
syntax and placement.CXX11
Spelled with a C++-style [[attr]]
syntax. If the attribute is meant to be used by Clang, it should set the namespace to"clang"
.Declspec
Spelled with a Microsoft-style __declspec(attr)
syntax.Keyword
The attribute is spelled as a keyword, and required custom parsing. GCC
Specifies two spellings: the first is a GNU-style spelling, and the second is a C++-style spelling with the gnu
namespace. Attributes should only specify this spelling for attributes supported by GCC.Pragma
The attribute is spelled as a #pragma
, and requires custom processing within the preprocessor. If the attribute is meant to be used by Clang, it should set the namespace to"clang"
. Note that this spelling is not used for declaration attributes.
Subjects¶
Attributes appertain to one or more Decl
subjects. If the attribute attempts
to attach to a subject that is not in the subject list, a diagnostic is issued
automatically. Whether the diagnostic is a warning or an error depends on how
the attribute’s SubjectList
is defined, but the default behavior is to warn.
The diagnostics displayed to the user are automatically determined based on the
subjects in the list, but a custom diagnostic parameter can also be specified in
the SubjectList
. The diagnostics generated for subject list violations are
either diag::warn_attribute_wrong_decl_type
or
diag::err_attribute_wrong_decl_type
, and the parameter enumeration is found
in include/clang/Sema/AttributeList.h
If a previously unused Decl node is added to the SubjectList
, the logic used
to automatically determine the diagnostic parameter in utils/TableGen/ClangAttrEmitter.cpp
may need to be updated.
By default, all subjects in the SubjectList must either be a Decl node defined
in DeclNodes.td
, or a statement node defined in StmtNodes.td
. However,
more complex subjects can be created by creating a SubsetSubject
object.
Each such object has a base subject which it appertains to (which must be a
Decl or Stmt node, and not a SubsetSubject node), and some custom code which is
called when determining whether an attribute appertains to the subject. For
instance, a NonBitField
SubsetSubject appertains to a FieldDecl
, and
tests whether the given FieldDecl is a bit field. When a SubsetSubject is
specified in a SubjectList, a custom diagnostic parameter must also be provided.
Diagnostic checking for attribute subject lists is automated except when
HasCustomParsing
is set to 1
.
Documentation¶
All attributes must have some form of documentation associated with them. Documentation is table generated on the public web server by a server-side process that runs daily. Generally, the documentation for an attribute is a stand-alone definition in include/clang/Basic/AttrDocs.td that is named after the attribute being documented.
If the attribute is not for public consumption, or is an implicitly-created
attribute that has no visible spelling, the documentation list can specify the
Undocumented
object. Otherwise, the attribute should have its documentation
added to AttrDocs.td.
Documentation derives from the Documentation
tablegen type. All derived
types must specify a documentation category and the actual documentation itself.
Additionally, it can specify a custom heading for the attribute, though a
default heading will be chosen when possible.
There are four predefined documentation categories: DocCatFunction
for
attributes that appertain to function-like subjects, DocCatVariable
for
attributes that appertain to variable-like subjects, DocCatType
for type
attributes, and DocCatStmt
for statement attributes. A custom documentation
category should be used for groups of attributes with similar functionality.
Custom categories are good for providing overview information for the attributes
grouped under it. For instance, the consumed annotation attributes define a
custom category, DocCatConsumed
, that explains what consumed annotations are
at a high level.
Documentation content (whether it is for an attribute or a category) is written using reStructuredText (RST) syntax.
After writing the documentation for the attribute, it should be locally tested to ensure that there are no issues generating the documentation on the server. Local testing requires a fresh build of clang-tblgen. To generate the attribute documentation, execute the following command:
clang-tblgen -gen-attr-docs -I /path/to/clang/include /path/to/clang/include/clang/Basic/Attr.td -o /path/to/clang/docs/AttributeReference.rst
When testing locally, do not commit changes to AttributeReference.rst
.
This file is generated by the server automatically, and any changes made to this
file will be overwritten.
Arguments¶
Attributes may optionally specify a list of arguments that can be passed to the
attribute. Attribute arguments specify both the parsed form and the semantic
form of the attribute. For example, if Args
is
[StringArgument<"Arg1">, IntArgument<"Arg2">]
then
__attribute__((myattribute("Hello", 3)))
will be a valid use; it requires
two arguments while parsing, and the Attr subclass’ constructor for the
semantic attribute will require a string and integer argument.
All arguments have a name and a flag that specifies whether the argument is optional. The associated C++ type of the argument is determined by the argument definition type. If the existing argument types are insufficient, new types can be created, but it requires modifying utils/TableGen/ClangAttrEmitter.cpp to properly support the type.
Other Properties¶
The Attr
definition has other members which control the behavior of the
attribute. Many of them are special-purpose and beyond the scope of this
document, however a few deserve mention.
If the parsed form of the attribute is more complex, or differs from the
semantic form, the HasCustomParsing
bit can be set to 1
for the class,
and the parsing code in Parser::ParseGNUAttributeArgs()
can be updated for the special case. Note that this only applies to arguments
with a GNU spelling – attributes with a __declspec spelling currently ignore
this flag and are handled by Parser::ParseMicrosoftDeclSpec
.
Note that setting this member to 1 will opt out of common attribute semantic handling, requiring extra implementation efforts to ensure the attribute appertains to the appropriate subject, etc.
If the attribute should not be propagated from from a template declaration to an
instantiation of the template, set the Clone
member to 0. By default, all
attributes will be cloned to template instantiations.
Attributes that do not require an AST node should set the ASTNode
field to
0
to avoid polluting the AST. Note that anything inheriting from
TypeAttr
or IgnoredAttr
automatically do not generate an AST node. All
other attributes generate an AST node by default. The AST node is the semantic
representation of the attribute.
The LangOpts
field specifies a list of language options required by the
attribute. For instance, all of the CUDA-specific attributes specify [CUDA]
for the LangOpts
field, and when the CUDA language option is not enabled, an
“attribute ignored” warning diagnostic is emitted. Since language options are
not table generated nodes, new language options must be created manually and
should specify the spelling used by LangOptions
class.
Custom accessors can be generated for an attribute based on the spelling list
for that attribute. For instance, if an attribute has two different spellings:
‘Foo’ and ‘Bar’, accessors can be created:
[Accessor<"isFoo", [GNU<"Foo">]>, Accessor<"isBar", [GNU<"Bar">]>]
These accessors will be generated on the semantic form of the attribute,
accepting no arguments and returning a bool
.
Attributes that do not require custom semantic handling should set the
SemaHandler
field to 0
. Note that anything inheriting from
IgnoredAttr
automatically do not get a semantic handler. All other
attributes are assumed to use a semantic handler by default. Attributes
without a semantic handler are not given a parsed attribute Kind
enumerator.
Target-specific attributes may share a spelling with other attributes in
different targets. For instance, the ARM and MSP430 targets both have an
attribute spelled GNU<"interrupt">
, but with different parsing and semantic
requirements. To support this feature, an attribute inheriting from
TargetSpecificAttribute
may specify a ParseKind
field. This field
should be the same value between all arguments sharing a spelling, and
corresponds to the parsed attribute’s Kind
enumerator. This allows
attributes to share a parsed attribute kind, but have distinct semantic
attribute classes. For instance, AttributeList::AT_Interrupt
is the shared
parsed attribute kind, but ARMInterruptAttr and MSP430InterruptAttr are the
semantic attributes generated.
By default, when declarations are merging attributes, an attribute will not be
duplicated. However, if an attribute can be duplicated during this merging
stage, set DuplicatesAllowedWhileMerging
to 1
, and the attribute will
be merged.
By default, attribute arguments are parsed in an evaluated context. If the
arguments for an attribute should be parsed in an unevaluated context (akin to
the way the argument to a sizeof
expression is parsed), set
ParseArgumentsAsUnevaluated
to 1
.
If additional functionality is desired for the semantic form of the attribute,
the AdditionalMembers
field specifies code to be copied verbatim into the
semantic attribute class object, with public
access.
Boilerplate¶
All semantic processing of declaration attributes happens in lib/Sema/SemaDeclAttr.cpp,
and generally starts in the ProcessDeclAttribute()
function. If the
attribute is a “simple” attribute – meaning that it requires no custom semantic
processing aside from what is automatically provided, add a call to
handleSimpleAttribute<YourAttr>(S, D, Attr);
to the switch statement.
Otherwise, write a new handleYourAttr()
function, and add that to the switch
statement. Please do not implement handling logic directly in the case
for
the attribute.
Unless otherwise specified by the attribute definition, common semantic checking
of the parsed attribute is handled automatically. This includes diagnosing
parsed attributes that do not appertain to the given Decl
, ensuring the
correct minimum number of arguments are passed, etc.
If the attribute adds additional warnings, define a DiagGroup
in
include/clang/Basic/DiagnosticGroups.td
named after the attribute’s Spelling
with “_”s replaced by “-“s. If there
is only a single diagnostic, it is permissible to use InGroup<DiagGroup<"your-attribute">>
directly in DiagnosticSemaKinds.td
All semantic diagnostics generated for your attribute, including automatically- generated ones (such as subjects and argument counts), should have a corresponding test case.
Semantic handling¶
Most attributes are implemented to have some effect on the compiler. For instance, to modify the way code is generated, or to add extra semantic checks for an analysis pass, etc. Having added the attribute definition and conversion to the semantic representation for the attribute, what remains is to implement the custom logic requiring use of the attribute.
The clang::Decl
object can be queried for the presence or absence of an
attribute using hasAttr<T>()
. To obtain a pointer to the semantic
representation of the attribute, getAttr<T>
may be used.
How to add an expression or statement¶
Expressions and statements are one of the most fundamental constructs within a compiler, because they interact with many different parts of the AST, semantic analysis, and IR generation. Therefore, adding a new expression or statement kind into Clang requires some care. The following list details the various places in Clang where an expression or statement needs to be introduced, along with patterns to follow to ensure that the new expression or statement works well across all of the C languages. We focus on expressions, but statements are similar.
- Introduce parsing actions into the parser. Recursive-descent parsing is
mostly self-explanatory, but there are a few things that are worth keeping
in mind:
- Keep as much source location information as possible! You’ll want it later to produce great diagnostics and support Clang’s various features that map between source code and the AST.
- Write tests for all of the “bad” parsing cases, to make sure your recovery
is good. If you have matched delimiters (e.g., parentheses, square
brackets, etc.), use
Parser::BalancedDelimiterTracker
to give nice diagnostics when things go wrong.
- Introduce semantic analysis actions into
Sema
. Semantic analysis should always involve two functions: anActOnXXX
function that will be called directly from the parser, and aBuildXXX
function that performs the actual semantic analysis and will (eventually!) build the AST node. It’s fairly common for theActOnCXX
function to do very little (often just some minor translation from the parser’s representation toSema
’s representation of the same thing), but the separation is still important: C++ template instantiation, for example, should always call theBuildXXX
variant. Several notes on semantic analysis before we get into construction of the AST:- Your expression probably involves some types and some subexpressions. Make sure to fully check that those types, and the types of those subexpressions, meet your expectations. Add implicit conversions where necessary to make sure that all of the types line up exactly the way you want them. Write extensive tests to check that you’re getting good diagnostics for mistakes and that you can use various forms of subexpressions with your expression.
- When type-checking a type or subexpression, make sure to first check
whether the type is “dependent” (
Type::isDependentType()
) or whether a subexpression is type-dependent (Expr::isTypeDependent()
). If any of these returntrue
, then you’re inside a template and you can’t do much type-checking now. That’s normal, and your AST node (when you get there) will have to deal with this case. At this point, you can write tests that use your expression within templates, but don’t try to instantiate the templates. - For each subexpression, be sure to call
Sema::CheckPlaceholderExpr()
to deal with “weird” expressions that don’t behave well as subexpressions. Then, determine whether you need to perform lvalue-to-rvalue conversions (Sema::DefaultLvalueConversions
) or the usual unary conversions (Sema::UsualUnaryConversions
), for places where the subexpression is producing a value you intend to use. - Your
BuildXXX
function will probably just returnExprError()
at this point, since you don’t have an AST. That’s perfectly fine, and shouldn’t impact your testing.
- Introduce an AST node for your new expression. This starts with declaring
the node in
include/Basic/StmtNodes.td
and creating a new class for your expression in the appropriateinclude/AST/Expr*.h
header. It’s best to look at the class for a similar expression to get ideas, and there are some specific things to watch for:- If you need to allocate memory, use the
ASTContext
allocator to allocate memory. Never use rawmalloc
ornew
, and never hold any resources in an AST node, because the destructor of an AST node is never called. - Make sure that
getSourceRange()
covers the exact source range of your expression. This is needed for diagnostics and for IDE support. - Make sure that
children()
visits all of the subexpressions. This is important for a number of features (e.g., IDE support, C++ variadic templates). If you have sub-types, you’ll also need to visit those sub-types inRecursiveASTVisitor
. - Add printing support (
StmtPrinter.cpp
) for your expression. - Add profiling support (
StmtProfile.cpp
) for your AST node, noting the distinguishing (non-source location) characteristics of an instance of your expression. Omitting this step will lead to hard-to-diagnose failures regarding matching of template declarations. - Add serialization support (
ASTReaderStmt.cpp
,ASTWriterStmt.cpp
) for your AST node.
- If you need to allocate memory, use the
- Teach semantic analysis to build your AST node. At this point, you can wire
up your
Sema::BuildXXX
function to actually create your AST. A few things to check at this point:- If your expression can construct a new C++ class or return a new
Objective-C object, be sure to update and then call
Sema::MaybeBindToTemporary
for your just-created AST node to be sure that the object gets properly destructed. An easy way to test this is to return a C++ class with a private destructor: semantic analysis should flag an error here with the attempt to call the destructor. - Inspect the generated AST by printing it using
clang -cc1 -ast-print
, to make sure you’re capturing all of the important information about how the AST was written. - Inspect the generated AST under
clang -cc1 -ast-dump
to verify that all of the types in the generated AST line up the way you want them. Remember that clients of the AST should never have to “think” to understand what’s going on. For example, all implicit conversions should show up explicitly in the AST. - Write tests that use your expression as a subexpression of other, well-known expressions. Can you call a function using your expression as an argument? Can you use the ternary operator?
- If your expression can construct a new C++ class or return a new
Objective-C object, be sure to update and then call
- Teach code generation to create IR to your AST node. This step is the first
(and only) that requires knowledge of LLVM IR. There are several things to
keep in mind:
- Code generation is separated into scalar/aggregate/complex and lvalue/rvalue paths, depending on what kind of result your expression produces. On occasion, this requires some careful factoring of code to avoid duplication.
CodeGenFunction
contains functionsConvertType
andConvertTypeForMem
that convert Clang’s types (clang::Type*
orclang::QualType
) to LLVM types. Use the former for values, and the latter for memory locations: test with the C++ “bool
” type to check this. If you find that you are having to use LLVM bitcasts to make the subexpressions of your expression have the type that your expression expects, STOP! Go fix semantic analysis and the AST so that you don’t need these bitcasts.- The
CodeGenFunction
class has a number of helper functions to make certain operations easy, such as generating code to produce an lvalue or an rvalue, or to initialize a memory location with a given value. Prefer to use these functions rather than directly writing loads and stores, because these functions take care of some of the tricky details for you (e.g., for exceptions). - If your expression requires some special behavior in the event of an
exception, look at the
push*Cleanup
functions inCodeGenFunction
to introduce a cleanup. You shouldn’t have to deal with exception-handling directly. - Testing is extremely important in IR generation. Use
clang -cc1 -emit-llvm
and FileCheck to verify that you’re generating the right IR.
- Teach template instantiation how to cope with your AST node, which requires
some fairly simple code:
- Make sure that your expression’s constructor properly computes the flags for type dependence (i.e., the type your expression produces can change from one instantiation to the next), value dependence (i.e., the constant value your expression produces can change from one instantiation to the next), instantiation dependence (i.e., a template parameter occurs anywhere in your expression), and whether your expression contains a parameter pack (for variadic templates). Often, computing these flags just means combining the results from the various types and subexpressions.
- Add
TransformXXX
andRebuildXXX
functions to theTreeTransform
class template inSema
.TransformXXX
should (recursively) transform all of the subexpressions and types within your expression, usinggetDerived().TransformYYY
. If all of the subexpressions and types transform without error, it will then call theRebuildXXX
function, which will in turn callgetSema().BuildXXX
to perform semantic analysis and build your expression. - To test template instantiation, take those tests you wrote to make sure that you were type checking with type-dependent expressions and dependent types (from step #2) and instantiate those templates with various types, some of which type-check and some that don’t, and test the error messages in each case.
- There are some “extras” that make other features work better. It’s worth
handling these extras to give your expression complete integration into
Clang:
- Add code completion support for your expression in
SemaCodeComplete.cpp
. - If your expression has types in it, or has any “interesting” features
other than subexpressions, extend libclang’s
CursorVisitor
to provide proper visitation for your expression, enabling various IDE features such as syntax highlighting, cross-referencing, and so on. Thec-index-test
helper program can be used to test these features.
- Add code completion support for your expression in