// RUN: llvm-tblgen -dump-json %s | %python %S/JSON-check.py %s // CHECK: data['!tablegen_json_version'] == 1 // CHECK: all(data[s]['!name'] == s for s in data if not s.startswith("!")) class Base {} class Intermediate : Base {} class Derived : Intermediate {} def D : Intermediate {} // CHECK: 'D' in data['!instanceof']['Base'] // CHECK: 'D' in data['!instanceof']['Intermediate'] // CHECK: 'D' not in data['!instanceof']['Derived'] // CHECK: 'Base' in data['D']['!superclasses'] // CHECK: 'Intermediate' in data['D']['!superclasses'] // CHECK: 'Derived' not in data['D']['!superclasses'] def ExampleDagOp; def FieldKeywordTest { int a; field int b; // CHECK: 'a' not in data['FieldKeywordTest']['!fields'] // CHECK: 'b' in data['FieldKeywordTest']['!fields'] } class Variables { int i; string s; bit b; bits<8> bs; code c; list 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 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 { 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