| // 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<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 |