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[TableGen] Add a general-purpose JSON backend.
The aim of this backend is to output everything TableGen knows about the record set, similarly to the default -print-records backend. But where -print-records produces output in TableGen's input syntax (convenient for humans to read), this backend produces it as structured JSON data, which is convenient for loading into standard scripting languages such as Python, in order to extract information from the data set in an automated way. The output data contains a JSON representation of the variable definitions in output 'def' records, and a few pieces of metadata such as which of those definitions are tagged with the 'field' prefix and which defs are derived from which classes. It doesn't dump out absolutely every piece of knowledge it _could_ produce, such as type information and complicated arithmetic operator nodes in abstract superclasses; the main aim is to allow consumers of this JSON dump to essentially act as new backends, and backends don't generally need to depend on that kind of data. The new backend is implemented as an EmitJSON() function similar to all of llvm-tblgen's other EmitFoo functions, except that it lives in lib/TableGen instead of utils/TableGen on the basis that I'm expecting to add it to clang-tblgen too in a future patch. To test it, I've written a Python script that loads the JSON output and tests properties of it based on comments in the .td source - more or less like FileCheck, except that the CHECK: lines have Python expressions after them instead of textual pattern matches. Reviewers: nhaehnle Reviewed By: nhaehnle Subscribers: arichardson, labath, mgorny, llvm-commits Differential Revision: https://reviews.llvm.org/D46054 llvm-svn: 336771
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@ -57,6 +57,11 @@ OPTIONS
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Print all records to standard output (default).
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.. option:: -dump-json
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Print a JSON representation of all records, suitable for further
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automated processing.
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.. option:: -print-enums
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Print enumeration values for a class.
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@ -435,6 +435,127 @@ AttrDocs
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**Purpose**: Creates ``AttributeReference.rst`` from ``AttrDocs.td``, and is
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used for documenting user-facing attributes.
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General BackEnds
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================
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JSON
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----
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**Purpose**: Output all the values in every ``def``, as a JSON data
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structure that can be easily parsed by a variety of languages. Useful
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for writing custom backends without having to modify TableGen itself,
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or for performing auxiliary analysis on the same TableGen data passed
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to a built-in backend.
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**Output**:
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The root of the output file is a JSON object (i.e. dictionary),
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containing the following fixed keys:
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* ``!tablegen_json_version``: a numeric version field that will
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increase if an incompatible change is ever made to the structure of
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this data. The format described here corresponds to version 1.
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* ``!instanceof``: a dictionary whose keys are the class names defined
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in the TableGen input. For each key, the corresponding value is an
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array of strings giving the names of ``def`` records that derive
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from that class. So ``root["!instanceof"]["Instruction"]``, for
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example, would list the names of all the records deriving from the
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class ``Instruction``.
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For each ``def`` record, the root object also has a key for the record
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name. The corresponding value is a subsidiary object containing the
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following fixed keys:
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* ``!superclasses``: an array of strings giving the names of all the
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classes that this record derives from.
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* ``!fields``: an array of strings giving the names of all the variables
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in this record that were defined with the ``field`` keyword.
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* ``!name``: a string giving the name of the record. This is always
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identical to the key in the JSON root object corresponding to this
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record's dictionary. (If the record is anonymous, the name is
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arbitrary.)
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* ``!anonymous``: a boolean indicating whether the record's name was
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specified by the TableGen input (if it is ``false``), or invented by
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TableGen itself (if ``true``).
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For each variable defined in a record, the ``def`` object for that
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record also has a key for the variable name. The corresponding value
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is a translation into JSON of the variable's value, using the
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conventions described below.
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Some TableGen data types are translated directly into the
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corresponding JSON type:
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* A completely undefined value (e.g. for a variable declared without
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initializer in some superclass of this record, and never initialized
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by the record itself or any other superclass) is emitted as the JSON
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``null`` value.
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* ``int`` and ``bit`` values are emitted as numbers. Note that
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TableGen ``int`` values are capable of holding integers too large to
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be exactly representable in IEEE double precision. The integer
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literal in the JSON output will show the full exact integer value.
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So if you need to retrieve large integers with full precision, you
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should use a JSON reader capable of translating such literals back
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into 64-bit integers without losing precision, such as Python's
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standard ``json`` module.
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* ``string`` and ``code`` values are emitted as JSON strings.
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* ``list<T>`` values, for any element type ``T``, are emitted as JSON
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arrays. Each element of the array is represented in turn using these
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same conventions.
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* ``bits`` values are also emitted as arrays. A ``bits`` array is
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ordered from least-significant bit to most-significant. So the
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element with index ``i`` corresponds to the bit described as
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``x{i}`` in TableGen source. However, note that this means that
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scripting languages are likely to *display* the array in the
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opposite order from the way it appears in the TableGen source or in
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the diagnostic ``-print-records`` output.
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All other TableGen value types are emitted as a JSON object,
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containing two standard fields: ``kind`` is a discriminator describing
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which kind of value the object represents, and ``printable`` is a
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string giving the same representation of the value that would appear
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in ``-print-records``.
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* A reference to a ``def`` object has ``kind=="def"``, and has an
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extra field ``def`` giving the name of the object referred to.
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* A reference to another variable in the same record has
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``kind=="var"``, and has an extra field ``var`` giving the name of
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the variable referred to.
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* A reference to a specific bit of a ``bits``-typed variable in the
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same record has ``kind=="varbit"``, and has two extra fields:
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``var`` gives the name of the variable referred to, and ``index``
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gives the index of the bit.
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* A value of type ``dag`` has ``kind=="dag"``, and has two extra
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fields. ``operator`` gives the initial value after the opening
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parenthesis of the dag initializer; ``args`` is an array giving the
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following arguments. The elements of ``args`` are arrays of length
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2, giving the value of each argument followed by its colon-suffixed
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name (if any). For example, in the JSON representation of the dag
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value ``(Op 22, "hello":$foo)`` (assuming that ``Op`` is the name of
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a record defined elsewhere with a ``def`` statement):
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* ``operator`` will be an object in which ``kind=="def"`` and
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``def=="Op"``
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* ``args`` will be the array ``[[22, null], ["hello", "foo"]]``.
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* If any other kind of value or complicated expression appears in the
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output, it will have ``kind=="complex"``, and no additional fields.
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These values are not expected to be needed by backends. The standard
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``printable`` field can be used to extract a representation of them
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in TableGen source syntax if necessary.
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How to write a back-end
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=======================
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@ -76,11 +76,14 @@ example, to get a list of all of the definitions that subclass a particular type
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ADD16rr, ADD32mi, ADD32mi8, ADD32mr, ADD32ri, ADD32ri8, ADD32rm, ADD32rr,
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ADD64mi32, ADD64mi8, ADD64mr, ADD64ri32, ...
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The default backend prints out all of the records.
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The default backend prints out all of the records. There is also a general
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backend which outputs all the records as a JSON data structure, enabled using
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the `-dump-json` option.
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If you plan to use TableGen, you will most likely have to write a `backend`_
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that extracts the information specific to what you need and formats it in the
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appropriate way.
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appropriate way. You can do this by extending TableGen itself in C++, or by
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writing a script in any language that can consume the JSON output.
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Example
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-------
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@ -1900,6 +1900,8 @@ public:
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Init *resolve(Init *VarName) override;
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};
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void EmitJSON(RecordKeeper &RK, raw_ostream &OS);
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} // end namespace llvm
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#endif // LLVM_TABLEGEN_RECORD_H
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@ -1,5 +1,6 @@
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add_llvm_library(LLVMTableGen
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Error.cpp
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JSONBackend.cpp
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Main.cpp
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Record.cpp
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SetTheory.cpp
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189
lib/TableGen/JSONBackend.cpp
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lib/TableGen/JSONBackend.cpp
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@ -0,0 +1,189 @@
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//===- JSONBackend.cpp - Generate a JSON dump of all records. -*- C++ -*-=====//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// This TableGen back end generates a machine-readable representation
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// of all the classes and records defined by the input, in JSON format.
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//
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//===----------------------------------------------------------------------===//
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#include "llvm/ADT/BitVector.h"
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#include "llvm/Support/Debug.h"
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#include "llvm/TableGen/Error.h"
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#include "llvm/TableGen/Record.h"
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#include "llvm/TableGen/TableGenBackend.h"
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#include "llvm/Support/JSON.h"
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#define DEBUG_TYPE "json-emitter"
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using namespace llvm;
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namespace {
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class JSONEmitter {
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private:
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RecordKeeper &Records;
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json::Value translateInit(const Init &I);
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json::Array listSuperclasses(const Record &R);
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public:
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JSONEmitter(RecordKeeper &R);
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void run(raw_ostream &OS);
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};
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} // end anonymous namespace
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JSONEmitter::JSONEmitter(RecordKeeper &R) : Records(R) {}
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json::Value JSONEmitter::translateInit(const Init &I) {
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// Init subclasses that we return as JSON primitive values of one
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// kind or another.
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if (isa<UnsetInit>(&I)) {
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return nullptr;
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} else if (auto *Bit = dyn_cast<BitInit>(&I)) {
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return Bit->getValue() ? 1 : 0;
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} else if (auto *Bits = dyn_cast<BitsInit>(&I)) {
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json::Array array;
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for (unsigned i = 0, limit = Bits->getNumBits(); i < limit; i++)
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array.push_back(translateInit(*Bits->getBit(i)));
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return array;
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} else if (auto *Int = dyn_cast<IntInit>(&I)) {
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return Int->getValue();
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} else if (auto *Str = dyn_cast<StringInit>(&I)) {
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return Str->getValue();
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} else if (auto *Code = dyn_cast<CodeInit>(&I)) {
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return Code->getValue();
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} else if (auto *List = dyn_cast<ListInit>(&I)) {
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json::Array array;
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for (auto val : *List)
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array.push_back(translateInit(*val));
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return array;
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}
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// Init subclasses that we return as JSON objects containing a
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// 'kind' discriminator. For these, we also provide the same
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// translation back into TableGen input syntax that -print-records
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// would give.
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json::Object obj;
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obj["printable"] = I.getAsString();
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if (auto *Def = dyn_cast<DefInit>(&I)) {
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obj["kind"] = "def";
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obj["def"] = Def->getDef()->getName();
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return obj;
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} else if (auto *Var = dyn_cast<VarInit>(&I)) {
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obj["kind"] = "var";
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obj["var"] = Var->getName();
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return obj;
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} else if (auto *VarBit = dyn_cast<VarBitInit>(&I)) {
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if (auto *Var = dyn_cast<VarInit>(VarBit->getBitVar())) {
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obj["kind"] = "varbit";
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obj["var"] = Var->getName();
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obj["index"] = VarBit->getBitNum();
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return obj;
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}
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} else if (auto *Dag = dyn_cast<DagInit>(&I)) {
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obj["kind"] = "dag";
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obj["operator"] = translateInit(*Dag->getOperator());
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if (auto name = Dag->getName())
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obj["name"] = name->getAsUnquotedString();
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json::Array args;
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for (unsigned i = 0, limit = Dag->getNumArgs(); i < limit; ++i) {
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json::Array arg;
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arg.push_back(translateInit(*Dag->getArg(i)));
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if (auto argname = Dag->getArgName(i))
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arg.push_back(argname->getAsUnquotedString());
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else
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arg.push_back(nullptr);
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args.push_back(std::move(arg));
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}
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obj["args"] = std::move(args);
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return obj;
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}
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// Final fallback: anything that gets past here is simply given a
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// kind field of 'complex', and the only other field is the standard
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// 'printable' representation.
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assert(!I.isConcrete());
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obj["kind"] = "complex";
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return obj;
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}
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void JSONEmitter::run(raw_ostream &OS) {
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json::Object root;
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root["!tablegen_json_version"] = 1;
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// Prepare the arrays that will list the instances of every class.
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// We mostly fill those in by iterating over the superclasses of
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// each def, but we also want to ensure we store an empty list for a
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// class with no instances at all, so we do a preliminary iteration
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// over the classes, invoking std::map::operator[] to default-
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// construct the array for each one.
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std::map<std::string, json::Array> instance_lists;
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for (const auto &C : Records.getClasses()) {
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auto &Name = C.second->getNameInitAsString();
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(void)instance_lists[Name];
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}
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// Main iteration over the defs.
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for (const auto &D : Records.getDefs()) {
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auto &Name = D.second->getNameInitAsString();
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auto &Def = *D.second;
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json::Object obj;
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json::Array fields;
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for (const RecordVal &RV : Def.getValues()) {
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if (!Def.isTemplateArg(RV.getNameInit())) {
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auto Name = RV.getNameInitAsString();
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if (RV.getPrefix())
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fields.push_back(Name);
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obj[Name] = translateInit(*RV.getValue());
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}
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}
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obj["!fields"] = std::move(fields);
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json::Array superclasses;
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for (const auto &SuperPair : Def.getSuperClasses())
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superclasses.push_back(SuperPair.first->getNameInitAsString());
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obj["!superclasses"] = std::move(superclasses);
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obj["!name"] = Name;
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obj["!anonymous"] = Def.isAnonymous();
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root[Name] = std::move(obj);
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// Add this def to the instance list for each of its superclasses.
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for (const auto &SuperPair : Def.getSuperClasses()) {
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auto SuperName = SuperPair.first->getNameInitAsString();
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instance_lists[SuperName].push_back(Name);
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}
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}
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// Make a JSON object from the std::map of instance lists.
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json::Object instanceof;
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for (auto kv: instance_lists)
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instanceof[kv.first] = std::move(kv.second);
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root["!instanceof"] = std::move(instanceof);
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// Done. Write the output.
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OS << json::Value(std::move(root)) << "\n";
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}
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namespace llvm {
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void EmitJSON(RecordKeeper &RK, raw_ostream &OS) { JSONEmitter(RK).run(OS); }
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} // end namespace llvm
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51
test/TableGen/JSON-check.py
Normal file
51
test/TableGen/JSON-check.py
Normal file
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#!/usr/bin/env python
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import sys
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import subprocess
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import traceback
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import json
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data = json.load(sys.stdin)
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testfile = sys.argv[1]
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prefix = "CHECK: "
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fails = 0
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passes = 0
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with open(testfile) as testfh:
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lineno = 0
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for line in iter(testfh.readline, ""):
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lineno += 1
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line = line.rstrip("\r\n")
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try:
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prefix_pos = line.index(prefix)
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except ValueError:
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continue
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check_expr = line[prefix_pos + len(prefix):]
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try:
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exception = None
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result = eval(check_expr, {"data":data})
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except Exception:
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result = False
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exception = traceback.format_exc().splitlines()[-1]
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if exception is not None:
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sys.stderr.write(
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"{file}:{line:d}: check threw exception: {expr}\n"
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"{file}:{line:d}: exception was: {exception}\n".format(
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file=testfile, line=lineno,
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expr=check_expr, exception=exception))
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fails += 1
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elif not result:
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sys.stderr.write(
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"{file}:{line:d}: check returned False: {expr}\n".format(
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file=testfile, line=lineno, expr=check_expr))
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fails += 1
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else:
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passes += 1
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if fails != 0:
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sys.exit("{} checks failed".format(fails))
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else:
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sys.stdout.write("{} checks passed\n".format(passes))
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146
test/TableGen/JSON.td
Normal file
146
test/TableGen/JSON.td
Normal file
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// RUN: llvm-tblgen -dump-json %s | %python %S/JSON-check.py %s
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// CHECK: data['!tablegen_json_version'] == 1
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// CHECK: all(data[s]['!name'] == s for s in data if not s.startswith("!"))
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class Base {}
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class Intermediate : Base {}
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class Derived : Intermediate {}
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def D : Intermediate {}
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// CHECK: 'D' in data['!instanceof']['Base']
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// CHECK: 'D' in data['!instanceof']['Intermediate']
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// CHECK: 'D' not in data['!instanceof']['Derived']
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// CHECK: 'Base' in data['D']['!superclasses']
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// CHECK: 'Intermediate' in data['D']['!superclasses']
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// CHECK: 'Derived' not in data['D']['!superclasses']
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def ExampleDagOp;
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def FieldKeywordTest {
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int a;
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field int b;
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// CHECK: 'a' not in data['FieldKeywordTest']['!fields']
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// CHECK: 'b' in data['FieldKeywordTest']['!fields']
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}
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class Variables {
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int i;
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string s;
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bit b;
|
||||
bits<8> bs;
|
||||
code c;
|
||||
list<int> li;
|
||||
Base base;
|
||||
dag d;
|
||||
}
|
||||
def VarNull : Variables {
|
||||
// A variable not filled in at all has its value set to JSON
|
||||
// 'null', which translates to Python None
|
||||
// CHECK: data['VarNull']['i'] is None
|
||||
}
|
||||
def VarPrim : Variables {
|
||||
// Test initializers that map to primitive JSON types
|
||||
|
||||
int i = 3;
|
||||
// CHECK: data['VarPrim']['i'] == 3
|
||||
|
||||
// Integer literals should be emitted in the JSON at full 64-bit
|
||||
// precision, for the benefit of JSON readers that preserve that
|
||||
// much information. Python's is one such.
|
||||
int enormous_pos = 9123456789123456789;
|
||||
int enormous_neg = -9123456789123456789;
|
||||
// CHECK: data['VarPrim']['enormous_pos'] == 9123456789123456789
|
||||
// CHECK: data['VarPrim']['enormous_neg'] == -9123456789123456789
|
||||
|
||||
string s = "hello, world";
|
||||
// CHECK: data['VarPrim']['s'] == 'hello, world'
|
||||
|
||||
bit b = 0;
|
||||
// CHECK: data['VarPrim']['b'] == 0
|
||||
|
||||
// bits<> arrays are stored in logical order (array[i] is the same
|
||||
// bit identified in .td files as bs{i}), which means the _visual_
|
||||
// order of the list (in default rendering) is reversed.
|
||||
bits<8> bs = { 0,0,0,1,0,1,1,1 };
|
||||
// CHECK: data['VarPrim']['bs'] == [ 1,1,1,0,1,0,0,0 ]
|
||||
|
||||
code c = [{ \" }];
|
||||
// CHECK: data['VarPrim']['c'] == r' \" '
|
||||
|
||||
list<int> li = [ 1, 2, 3, 4 ];
|
||||
// CHECK: data['VarPrim']['li'] == [ 1, 2, 3, 4 ]
|
||||
}
|
||||
def VarObj : Variables {
|
||||
// Test initializers that map to JSON objects containing a 'kind'
|
||||
// discriminator
|
||||
|
||||
Base base = D;
|
||||
// CHECK: data['VarObj']['base']['kind'] == 'def'
|
||||
// CHECK: data['VarObj']['base']['def'] == 'D'
|
||||
// CHECK: data['VarObj']['base']['printable'] == 'D'
|
||||
|
||||
dag d = (ExampleDagOp 22, "hello":$foo);
|
||||
// CHECK: data['VarObj']['d']['kind'] == 'dag'
|
||||
// CHECK: data['VarObj']['d']['operator']['kind'] == 'def'
|
||||
// CHECK: data['VarObj']['d']['operator']['def'] == 'ExampleDagOp'
|
||||
// CHECK: data['VarObj']['d']['operator']['printable'] == 'ExampleDagOp'
|
||||
// CHECK: data['VarObj']['d']['args'] == [[22, None], ["hello", "foo"]]
|
||||
// CHECK: data['VarObj']['d']['printable'] == '(ExampleDagOp 22, "hello":$foo)'
|
||||
|
||||
int undef_int;
|
||||
field int ref_int = undef_int;
|
||||
// CHECK: data['VarObj']['ref_int']['kind'] == 'var'
|
||||
// CHECK: data['VarObj']['ref_int']['var'] == 'undef_int'
|
||||
// CHECK: data['VarObj']['ref_int']['printable'] == 'undef_int'
|
||||
|
||||
bits<2> undef_bits;
|
||||
bits<4> ref_bits;
|
||||
let ref_bits{3-2} = 0b10;
|
||||
let ref_bits{1-0} = undef_bits{1-0};
|
||||
// CHECK: data['VarObj']['ref_bits'][3] == 1
|
||||
// CHECK: data['VarObj']['ref_bits'][2] == 0
|
||||
// CHECK: data['VarObj']['ref_bits'][1]['kind'] == 'varbit'
|
||||
// CHECK: data['VarObj']['ref_bits'][1]['var'] == 'undef_bits'
|
||||
// CHECK: data['VarObj']['ref_bits'][1]['index'] == 1
|
||||
// CHECK: data['VarObj']['ref_bits'][1]['printable'] == 'undef_bits{1}'
|
||||
// CHECK: data['VarObj']['ref_bits'][0]['kind'] == 'varbit'
|
||||
// CHECK: data['VarObj']['ref_bits'][0]['var'] == 'undef_bits'
|
||||
// CHECK: data['VarObj']['ref_bits'][0]['index'] == 0
|
||||
// CHECK: data['VarObj']['ref_bits'][0]['printable'] == 'undef_bits{0}'
|
||||
|
||||
field int complex_ref_int = !add(undef_int, 2);
|
||||
// CHECK: data['VarObj']['complex_ref_int']['kind'] == 'complex'
|
||||
// CHECK: data['VarObj']['complex_ref_int']['printable'] == '!add(undef_int, 2)'
|
||||
}
|
||||
|
||||
// Test the !anonymous member. This is tricky because when a def is
|
||||
// anonymous, almost by definition, the test can't reliably predict
|
||||
// the name it will be stored under! So we have to search all the defs
|
||||
// in the JSON output looking for the one that has the test integer
|
||||
// field set to the right value.
|
||||
|
||||
def Named { int AnonTestField = 1; }
|
||||
// CHECK: data['Named']['AnonTestField'] == 1
|
||||
// CHECK: data['Named']['!anonymous'] is False
|
||||
|
||||
def { int AnonTestField = 2; }
|
||||
// CHECK: next(rec for rec in data.values() if isinstance(rec, dict) and rec.get('AnonTestField') == 2)['!anonymous'] is True
|
||||
|
||||
multiclass AnonTestMulticlass<int base> {
|
||||
def _plus_one { int AnonTestField = !add(base,1); }
|
||||
def { int AnonTestField = !add(base,2); }
|
||||
}
|
||||
|
||||
defm NamedDefm : AnonTestMulticlass<10>;
|
||||
// CHECK: data['NamedDefm_plus_one']['!anonymous'] is False
|
||||
// CHECK: data['NamedDefm_plus_one']['AnonTestField'] == 11
|
||||
// CHECK: next(rec for rec in data.values() if isinstance(rec, dict) and rec.get('AnonTestField') == 12)['!anonymous'] is True
|
||||
|
||||
// D47431 clarifies that a named def inside a multiclass gives a
|
||||
// *non*-anonymous output record, even if the defm that instantiates
|
||||
// that multiclass is anonymous.
|
||||
defm : AnonTestMulticlass<20>;
|
||||
// CHECK: next(rec for rec in data.values() if isinstance(rec, dict) and rec.get('AnonTestField') == 21)['!anonymous'] is False
|
||||
// CHECK: next(rec for rec in data.values() if isinstance(rec, dict) and rec.get('AnonTestField') == 22)['!anonymous'] is True
|
@ -24,6 +24,7 @@ using namespace llvm;
|
||||
|
||||
enum ActionType {
|
||||
PrintRecords,
|
||||
DumpJSON,
|
||||
GenEmitter,
|
||||
GenRegisterInfo,
|
||||
GenInstrInfo,
|
||||
@ -59,6 +60,8 @@ namespace {
|
||||
Action(cl::desc("Action to perform:"),
|
||||
cl::values(clEnumValN(PrintRecords, "print-records",
|
||||
"Print all records to stdout (default)"),
|
||||
clEnumValN(DumpJSON, "dump-json",
|
||||
"Dump all records as machine-readable JSON"),
|
||||
clEnumValN(GenEmitter, "gen-emitter",
|
||||
"Generate machine code emitter"),
|
||||
clEnumValN(GenRegisterInfo, "gen-register-info",
|
||||
@ -126,6 +129,9 @@ bool LLVMTableGenMain(raw_ostream &OS, RecordKeeper &Records) {
|
||||
case PrintRecords:
|
||||
OS << Records; // No argument, dump all contents
|
||||
break;
|
||||
case DumpJSON:
|
||||
EmitJSON(Records, OS);
|
||||
break;
|
||||
case GenEmitter:
|
||||
EmitCodeEmitter(Records, OS);
|
||||
break;
|
||||
|
Loading…
Reference in New Issue
Block a user