| #!/usr/bin/python |
| # Copyright 2018 The ANGLE Project Authors. All rights reserved. |
| # Use of this source code is governed by a BSD-style license that can be |
| # found in the LICENSE file. |
| # |
| # gen_builtin_symbols.py: |
| # Code generation for the built-in symbol tables. |
| |
| from collections import OrderedDict |
| from datetime import date |
| import argparse |
| import json |
| import re |
| import os |
| |
| def set_working_dir(): |
| script_dir = os.path.dirname(os.path.abspath(__file__)) |
| os.chdir(script_dir) |
| |
| set_working_dir() |
| |
| parser = argparse.ArgumentParser() |
| parser.add_argument('--dump-intermediate-json', help='Dump parsed function data as a JSON file builtin_functions.json', action="store_true") |
| args = parser.parse_args() |
| |
| template_immutablestringtest_cpp = """// GENERATED FILE - DO NOT EDIT. |
| // Generated by {script_name} using data from {function_data_source_name}. |
| // |
| // Copyright {copyright_year} The ANGLE Project Authors. All rights reserved. |
| // Use of this source code is governed by a BSD-style license that can be |
| // found in the LICENSE file. |
| // |
| // ImmutableString_test_autogen.cpp: |
| // Tests for matching script-generated hashes with runtime computed hashes. |
| |
| #include "compiler/translator/ImmutableString.h" |
| #include "gtest/gtest.h" |
| |
| namespace sh |
| {{ |
| |
| TEST(ImmutableStringTest, ScriptGeneratedHashesMatch) |
| {{ |
| {script_generated_hash_tests} |
| }} |
| |
| }} // namespace sh |
| """ |
| |
| # By having the variables defined in a cpp file we ensure that there's just one instance of each of the declared variables. |
| template_symboltable_cpp = """// GENERATED FILE - DO NOT EDIT. |
| // Generated by {script_name} using data from {function_data_source_name}. |
| // |
| // Copyright {copyright_year} The ANGLE Project Authors. All rights reserved. |
| // Use of this source code is governed by a BSD-style license that can be |
| // found in the LICENSE file. |
| // |
| // SymbolTable_autogen.cpp: |
| // Compile-time initialized built-ins. |
| |
| #include "compiler/translator/SymbolTable.h" |
| |
| #include "angle_gl.h" |
| #include "compiler/translator/ImmutableString.h" |
| #include "compiler/translator/StaticType.h" |
| #include "compiler/translator/Symbol.h" |
| #include "compiler/translator/SymbolUniqueId.h" |
| #include "compiler/translator/SymbolTable.h" |
| |
| namespace sh |
| {{ |
| |
| // This is a class instead of a namespace so that we can restrict access to TSymbolUniqueId |
| // constructor taking an integer to here. |
| class BuiltInId |
| {{ |
| public: |
| |
| {builtin_id_declarations} |
| |
| }}; |
| |
| const int TSymbolTable::kLastStaticBuiltInId = {last_static_builtin_id}; |
| |
| namespace BuiltInName |
| {{ |
| |
| {name_declarations} |
| |
| }} // namespace BuiltInName |
| |
| namespace BuiltInParameters |
| {{ |
| |
| {parameter_declarations} |
| |
| }} // namespace BuiltInParameters |
| |
| namespace UnmangledBuiltIns |
| {{ |
| |
| {unmangled_builtin_declarations} |
| |
| }} // namespace UnmangledBuiltIns |
| |
| // TODO(oetuaho): Would be nice to make this a class instead of a namespace so that we could friend |
| // this from TFunction. Now symbol constructors taking an id have to be public even though they're |
| // not supposed to be accessible from outside of here. http://anglebug.com/2390 |
| namespace BuiltInFunction |
| {{ |
| |
| {function_declarations} |
| |
| }} // namespace BuiltInFunction |
| |
| void TSymbolTable::insertBuiltInFunctions(sh::GLenum shaderType) |
| {{ |
| {insert_functions} |
| }} |
| |
| const UnmangledBuiltIn *TSymbolTable::getUnmangledBuiltInForShaderVersion(const ImmutableString &name, int shaderVersion) |
| {{ |
| uint32_t nameHash = name.hash32(); |
| {get_unmangled_builtin} |
| }} |
| |
| }} // namespace sh |
| """ |
| |
| functions_txt_filename = 'builtin_function_declarations.txt' |
| |
| basic_mangled_names = { |
| 'Float': 'f', |
| 'Int': 'i', |
| 'UInt': 'u', |
| 'Bool': 'b', |
| 'YuvCscStandardEXT': 'y', |
| 'Sampler2D': 's2', |
| 'Sampler3D': 's3', |
| 'SamplerCube': 'sC', |
| 'Sampler2DArray': 'sA', |
| 'SamplerExternalOES': 'sX', |
| 'SamplerExternal2DY2YEXT': 'sY', |
| 'Sampler2DRect': 'sR', |
| 'Sampler2DMS': 'sM', |
| 'ISampler2D': 'is2', |
| 'ISampler3D': 'is3', |
| 'ISamplerCube': 'isC', |
| 'ISampler2DArray': 'isA', |
| 'ISampler2DMS': 'isM', |
| 'USampler2D': 'us2', |
| 'USampler3D': 'us3', |
| 'USamplerCube': 'usC', |
| 'USampler2DArray': 'usA', |
| 'USampler2DMS': 'usM', |
| 'Sampler2DShadow': 's2s', |
| 'SamplerCubeShadow': 'sCs', |
| 'Sampler2DArrayShadow': 'sAs', |
| 'Image2D': 'I2', |
| 'IImage2D': 'iI2', |
| 'UImage2D': 'uI2', |
| 'Image3D': 'I3', |
| 'IImage3D': 'iI3', |
| 'UImage3D': 'uI3', |
| 'Image2DArray': 'IA', |
| 'IImage2DArray': 'iIA', |
| 'UImage2DArray': 'uIA', |
| 'ImageCube': 'Ic', |
| 'IImageCube': 'iIc', |
| 'UImageCube': 'uIc', |
| 'AtomicCounter': 'a' |
| } |
| |
| levels = ['ESSL3_1_BUILTINS', 'ESSL3_BUILTINS', 'ESSL1_BUILTINS', 'COMMON_BUILTINS'] |
| |
| class GroupedList: |
| """"Class for storing a list of objects grouped by symbol table level and condition.""" |
| def __init__(self): |
| self.objs = OrderedDict() |
| # We need to add all the levels here instead of lazily since they must be in a specific order. |
| for l in levels: |
| self.objs[l] = OrderedDict() |
| |
| def add_obj(self, level, condition, name, obj): |
| if (level not in levels): |
| raise Exception('Unexpected level: ' + str(level)) |
| if condition not in self.objs[level]: |
| self.objs[level][condition] = OrderedDict() |
| self.objs[level][condition][name] = obj |
| |
| def has_key(self, level, condition, name): |
| if (level not in levels): |
| raise Exception('Unexpected level: ' + str(level)) |
| if condition not in self.objs[level]: |
| return False |
| return (name in self.objs[level][condition]) |
| |
| def get(self, level, condition, name): |
| if self.has_key(level, condition, name): |
| return self.objs[level][condition][name] |
| return None |
| |
| def iter_conditions(self, level): |
| return self.objs[level].iteritems() |
| |
| |
| class TType: |
| def __init__(self, glsl_header_type): |
| if isinstance(glsl_header_type, basestring): |
| self.data = self.parse_type(glsl_header_type) |
| else: |
| self.data = glsl_header_type |
| self.normalize() |
| |
| def normalize(self): |
| # Note that this will set primarySize and secondarySize also on genTypes. In that case they |
| # are overridden when the specific types are generated. |
| if 'primarySize' not in self.data: |
| if ('secondarySize' in self.data): |
| raise Exception('Unexpected secondarySize on type that does not have primarySize set') |
| self.data['primarySize'] = 1 |
| if 'secondarySize' not in self.data: |
| self.data['secondarySize'] = 1 |
| if 'precision' not in self.data: |
| self.data['precision'] = 'Undefined' |
| if 'qualifier' not in self.data: |
| self.data['qualifier'] = 'Global' |
| |
| def get_statictype_string(self): |
| template_type = 'StaticType::Get<Ebt{basic}, Ebp{precision}, Evq{qualifier}, {primarySize}, {secondarySize}>()' |
| return template_type.format(**self.data) |
| |
| def get_mangled_name(self, separator = ';'): |
| mangled_name = '' |
| |
| if self.is_matrix(): |
| mangled_name += str(self.data['primarySize']) |
| mangled_name += str(self.data['secondarySize']) |
| elif self.data['primarySize'] > 1: |
| mangled_name += str(self.data['primarySize']) |
| |
| mangled_name += basic_mangled_names[self.data['basic']] |
| |
| mangled_name += separator |
| return mangled_name |
| |
| def is_vector(self): |
| return self.data['primarySize'] > 1 and self.data['secondarySize'] == 1 |
| |
| def is_matrix(self): |
| return self.data['secondarySize'] > 1 |
| |
| def specific_sampler_or_image_type(self, basic_type_prefix): |
| if 'genType' in self.data: |
| type = {} |
| if 'basic' not in self.data: |
| type['basic'] = {'': 'Float', 'I': 'Int', 'U': 'UInt'}[basic_type_prefix] |
| type['primarySize'] = self.data['primarySize'] |
| else: |
| type['basic'] = basic_type_prefix + self.data['basic'] |
| type['primarySize'] = 1 |
| type['precision'] = 'Undefined' |
| return TType(type) |
| return self |
| |
| def specific_type(self, vec_size): |
| type = {} |
| if 'genType' in self.data: |
| type['basic'] = self.data['basic'] |
| type['precision'] = self.data['precision'] |
| type['qualifier'] = self.data['qualifier'] |
| type['primarySize'] = vec_size |
| type['secondarySize'] = 1 |
| return TType(type) |
| return self |
| |
| def parse_type(self, glsl_header_type): |
| if glsl_header_type.startswith('out '): |
| type_obj = self.parse_type(glsl_header_type[4:]) |
| type_obj['qualifier'] = 'Out' |
| return type_obj |
| if glsl_header_type.startswith('inout '): |
| type_obj = self.parse_type(glsl_header_type[6:]) |
| type_obj['qualifier'] = 'InOut' |
| return type_obj |
| |
| basic_type_map = { |
| 'float': 'Float', |
| 'int': 'Int', |
| 'uint': 'UInt', |
| 'bool': 'Bool', |
| 'void': 'Void', |
| 'atomic_uint': 'AtomicCounter', |
| 'yuvCscStandardEXT': 'YuvCscStandardEXT' |
| } |
| |
| if glsl_header_type in basic_type_map: |
| return {'basic': basic_type_map[glsl_header_type]} |
| |
| type_obj = {} |
| |
| basic_type_prefix_map = {'': 'Float', 'i': 'Int', 'u': 'UInt', 'b': 'Bool', 'v': 'Void'} |
| |
| vec_re = re.compile(r'^([iub]?)vec([234]?)$') |
| vec_match = vec_re.match(glsl_header_type) |
| if vec_match: |
| type_obj['basic'] = basic_type_prefix_map[vec_match.group(1)] |
| if vec_match.group(2) == '': |
| # Type like "ivec" that represents either ivec2, ivec3 or ivec4 |
| type_obj['genType'] = 'vec' |
| else: |
| # vec with specific size |
| type_obj['primarySize'] = int(vec_match.group(2)) |
| return type_obj |
| |
| mat_re = re.compile(r'^mat([234])(x([234]))?$') |
| mat_match = mat_re.match(glsl_header_type) |
| if mat_match: |
| type_obj['basic'] = 'Float' |
| if len(glsl_header_type) == 4: |
| mat_size = int(mat_match.group(1)) |
| type_obj['primarySize'] = mat_size |
| type_obj['secondarySize'] = mat_size |
| else: |
| type_obj['primarySize'] = int(mat_match.group(1)) |
| type_obj['secondarySize'] = int(mat_match.group(3)) |
| return type_obj |
| |
| gen_re = re.compile(r'^gen([IUB]?)Type$') |
| gen_match = gen_re.match(glsl_header_type) |
| if gen_match: |
| type_obj['basic'] = basic_type_prefix_map[gen_match.group(1).lower()] |
| type_obj['genType'] = 'yes' |
| return type_obj |
| |
| if glsl_header_type.startswith('sampler'): |
| type_obj['basic'] = glsl_header_type[0].upper() + glsl_header_type[1:] |
| return type_obj |
| |
| if glsl_header_type.startswith('gsampler') or glsl_header_type.startswith('gimage'): |
| type_obj['basic'] = glsl_header_type[1].upper() + glsl_header_type[2:] |
| type_obj['genType'] = 'sampler_or_image' |
| return type_obj |
| |
| if glsl_header_type == 'gvec4': |
| return {'primarySize': 4, 'genType': 'sampler_or_image'} |
| if glsl_header_type == 'gvec3': |
| return {'primarySize': 3, 'genType': 'sampler_or_image'} |
| |
| raise Exception('Unrecognized type: ' + str(glsl_header_type)) |
| |
| def get_parsed_functions(): |
| |
| def parse_function_parameters(parameters): |
| if parameters == '': |
| return [] |
| parametersOut = [] |
| parameters = parameters.split(', ') |
| for parameter in parameters: |
| parametersOut.append(TType(parameter.strip())) |
| return parametersOut |
| |
| lines = [] |
| with open(functions_txt_filename) as f: |
| lines = f.readlines() |
| lines = [line.strip() for line in lines if line.strip() != '' and not line.strip().startswith('//')] |
| |
| fun_re = re.compile(r'^(\w+) (\w+)\((.*)\);$') |
| |
| parsed_functions = OrderedDict() |
| group_stack = [] |
| default_metadata = {} |
| |
| for line in lines: |
| fun_match = fun_re.match(line) |
| if line.startswith('GROUP BEGIN '): |
| group_rest = line[12:].strip() |
| group_parts = group_rest.split(' ', 1) |
| current_group = { |
| 'functions': [], |
| 'name': group_parts[0], |
| 'subgroups': {} |
| } |
| if len(group_parts) > 1: |
| group_metadata = json.loads(group_parts[1]) |
| current_group.update(group_metadata) |
| group_stack.append(current_group) |
| elif line.startswith('GROUP END '): |
| group_end_name = line[10:].strip() |
| current_group = group_stack[-1] |
| if current_group['name'] != group_end_name: |
| raise Exception('GROUP END: Unexpected function group name "' + group_end_name + '" was expecting "' + current_group['name'] + '"') |
| group_stack.pop() |
| is_top_level_group = (len(group_stack) == 0) |
| if is_top_level_group: |
| parsed_functions[current_group['name']] = current_group |
| default_metadata = {} |
| else: |
| super_group = group_stack[-1] |
| super_group['subgroups'][current_group['name']] = current_group |
| elif line.startswith('DEFAULT METADATA'): |
| line_rest = line[16:].strip() |
| default_metadata = json.loads(line_rest) |
| elif fun_match: |
| return_type = fun_match.group(1) |
| name = fun_match.group(2) |
| parameters = fun_match.group(3) |
| function_props = { |
| 'name': name, |
| 'returnType': TType(return_type), |
| 'parameters': parse_function_parameters(parameters) |
| } |
| function_props.update(default_metadata) |
| group_stack[-1]['functions'].append(function_props) |
| else: |
| raise Exception('Unexpected function input line: ' + line) |
| |
| return parsed_functions |
| |
| parsed_functions = get_parsed_functions() |
| |
| if args.dump_intermediate_json: |
| with open('builtin_functions.json', 'w') as outfile: |
| def serialize_obj(obj): |
| if isinstance(obj, TType): |
| return obj.data |
| else: |
| raise "Cannot serialize to JSON: " + str(obj) |
| json.dump(parsed_functions, outfile, indent=4, separators=(',', ': '), default=serialize_obj) |
| |
| # Declarations of symbol unique ids |
| builtin_id_declarations = [] |
| |
| # Declarations of name string variables |
| name_declarations = set() |
| |
| # Declarations of parameter arrays for builtin TFunctions |
| parameter_declarations = set() |
| |
| # Declarations of builtin TFunctions |
| function_declarations = [] |
| |
| # Code for inserting builtin TFunctions to the symbol table. Grouped by condition. |
| insert_functions_by_condition = OrderedDict() |
| |
| # Declarations of UnmangledBuiltIn objects |
| unmangled_builtin_declarations = set() |
| |
| # Code for querying builtin function unmangled names. |
| unmangled_function_if_statements = GroupedList() |
| |
| # Code for testing that script-generated hashes match with runtime computed hashes. |
| script_generated_hash_tests = OrderedDict() |
| |
| id_counter = 0 |
| |
| def hash32(str): |
| fnvOffsetBasis = 0x811c9dc5 |
| fnvPrime = 16777619 |
| hash = fnvOffsetBasis |
| for c in str: |
| hash = hash ^ ord(c) |
| hash = hash * fnvPrime & 0xffffffff |
| sanity_check = ' ASSERT_EQ(0x{hash}u, ImmutableString("{str}").hash32());'.format(hash = ('%x' % hash), str = str) |
| script_generated_hash_tests.update({sanity_check: None}) |
| return hash |
| |
| def get_suffix(props): |
| if 'suffix' in props: |
| return props['suffix'] |
| return '' |
| |
| def get_extension(props): |
| if 'extension' in props: |
| return props['extension'] |
| return 'UNDEFINED' |
| |
| def get_op(name, function_props): |
| if 'op' not in function_props: |
| raise Exception('function op not defined') |
| if function_props['op'] == 'auto': |
| return name[0].upper() + name[1:] |
| return function_props['op'] |
| |
| def get_known_to_not_have_side_effects(function_props): |
| if 'op' in function_props and function_props['op'] != 'CallBuiltInFunction': |
| if 'hasSideEffects' in function_props: |
| return 'false' |
| else: |
| for param in get_parameters(function_props): |
| if 'qualifier' in param.data and (param.data['qualifier'] == 'Out' or param.data['qualifier'] == 'InOut'): |
| return 'false' |
| return 'true' |
| return 'false' |
| |
| def get_parameters(function_props): |
| if 'parameters' in function_props: |
| return function_props['parameters'] |
| return [] |
| |
| def get_function_mangled_name(function_name, parameters): |
| mangled_name = function_name + '(' |
| for param in parameters: |
| mangled_name += param.get_mangled_name() |
| return mangled_name |
| |
| def get_unique_identifier_name(function_name, parameters): |
| unique_name = function_name + '_' |
| for param in parameters: |
| unique_name += param.get_mangled_name('_') |
| return unique_name |
| |
| def get_variable_name_to_store_parameters(parameters): |
| if len(parameters) == 0: |
| return 'empty' |
| unique_name = 'p_' |
| for param in parameters: |
| if 'qualifier' in param.data: |
| if param.data['qualifier'] == 'Out': |
| unique_name += 'o_' |
| if param.data['qualifier'] == 'InOut': |
| unique_name += 'io_' |
| unique_name += param.get_mangled_name('_') |
| return unique_name |
| |
| def gen_function_variants(function_name, function_props): |
| function_variants = [] |
| parameters = get_parameters(function_props) |
| function_is_gen_type = False |
| gen_type = set() |
| for param in parameters: |
| if 'genType' in param.data: |
| if param.data['genType'] not in ['sampler_or_image', 'vec', 'yes']: |
| raise Exception('Unexpected value of genType "' + str(param.data['genType']) + '" should be "sampler_or_image", "vec", or "yes"') |
| gen_type.add(param.data['genType']) |
| if len(gen_type) > 1: |
| raise Exception('Unexpected multiple values of genType set on the same function: ' + str(list(gen_type))) |
| if len(gen_type) == 0: |
| function_variants.append(function_props) |
| return function_variants |
| |
| # If we have a gsampler_or_image then we're generating variants for float, int and uint |
| # samplers. |
| if 'sampler_or_image' in gen_type: |
| types = ['', 'I', 'U'] |
| for type in types: |
| variant_props = function_props.copy() |
| variant_parameters = [] |
| for param in parameters: |
| variant_parameters.append(param.specific_sampler_or_image_type(type)) |
| variant_props['parameters'] = variant_parameters |
| variant_props['returnType'] = function_props['returnType'].specific_sampler_or_image_type(type) |
| function_variants.append(variant_props) |
| return function_variants |
| |
| # If we have a normal gentype then we're generating variants for different sizes of vectors. |
| sizes = range(1, 5) |
| if 'vec' in gen_type: |
| sizes = range(2, 5) |
| for size in sizes: |
| variant_props = function_props.copy() |
| variant_parameters = [] |
| for param in parameters: |
| variant_parameters.append(param.specific_type(size)) |
| variant_props['parameters'] = variant_parameters |
| variant_props['returnType'] = function_props['returnType'].specific_type(size) |
| function_variants.append(variant_props) |
| return function_variants |
| |
| defined_function_variants = set() |
| |
| def process_single_function_group(condition, group_name, group): |
| global id_counter |
| if 'functions' not in group: |
| return |
| |
| for function_props in group['functions']: |
| function_name = function_props['name'] |
| level = function_props['level'] |
| extension = get_extension(function_props) |
| template_args = { |
| 'name': function_name, |
| 'name_with_suffix': function_name + get_suffix(function_props), |
| 'level': level, |
| 'extension': extension, |
| 'op': get_op(function_name, function_props), |
| 'known_to_not_have_side_effects': get_known_to_not_have_side_effects(function_props) |
| } |
| |
| function_variants = gen_function_variants(function_name, function_props) |
| |
| template_name_declaration = 'constexpr const ImmutableString {name_with_suffix}("{name}");' |
| name_declaration = template_name_declaration.format(**template_args) |
| if not name_declaration in name_declarations: |
| name_declarations.add(name_declaration) |
| |
| template_unmangled_if = """if (name == BuiltInName::{name_with_suffix}) |
| {{ |
| return &UnmangledBuiltIns::{extension}; |
| }}""" |
| unmangled_if = template_unmangled_if.format(**template_args) |
| unmangled_builtin_no_condition = unmangled_function_if_statements.get(level, 'NO_CONDITION', function_name) |
| if unmangled_builtin_no_condition != None and unmangled_builtin_no_condition['extension'] == 'UNDEFINED': |
| # We already have this unmangled name without a condition nor extension on the same level. No need to add a duplicate with a condition. |
| pass |
| elif (not unmangled_function_if_statements.has_key(level, condition, function_name)) or extension == 'UNDEFINED': |
| # We don't have this unmangled builtin recorded yet or we might replace an unmangled builtin from an extension with one from core. |
| unmangled_function_if_statements.add_obj(level, condition, function_name, {'code': unmangled_if, 'extension': extension}) |
| unmangled_builtin_declarations.add('constexpr const UnmangledBuiltIn {extension}(TExtension::{extension});'.format(**template_args)) |
| |
| for function_props in function_variants: |
| template_args['id'] = id_counter |
| |
| parameters = get_parameters(function_props) |
| |
| template_args['unique_name'] = get_unique_identifier_name(template_args['name_with_suffix'], parameters) |
| |
| if template_args['unique_name'] in defined_function_variants: |
| continue |
| defined_function_variants.add(template_args['unique_name']) |
| |
| template_args['param_count'] = len(parameters) |
| template_args['return_type'] = function_props['returnType'].get_statictype_string() |
| template_args['mangled_name'] = get_function_mangled_name(function_name, parameters) |
| |
| template_builtin_id_declaration = ' static constexpr const TSymbolUniqueId {unique_name} = TSymbolUniqueId({id});' |
| builtin_id_declarations.append(template_builtin_id_declaration.format(**template_args)) |
| |
| template_mangled_name_declaration = 'constexpr const ImmutableString {unique_name}("{mangled_name}");' |
| name_declarations.add(template_mangled_name_declaration.format(**template_args)) |
| |
| parameters_list = [] |
| for param in parameters: |
| template_parameter = 'TConstParameter({param_type})' |
| parameters_list.append(template_parameter.format(param_type = param.get_statictype_string())) |
| template_args['parameters_var_name'] = get_variable_name_to_store_parameters(parameters) |
| if len(parameters) > 0: |
| template_args['parameters_list'] = ', '.join(parameters_list) |
| template_parameter_list_declaration = 'constexpr const TConstParameter {parameters_var_name}[{param_count}] = {{ {parameters_list} }};' |
| parameter_declarations.add(template_parameter_list_declaration.format(**template_args)) |
| else: |
| template_parameter_list_declaration = 'constexpr const TConstParameter *{parameters_var_name} = nullptr;' |
| parameter_declarations.add(template_parameter_list_declaration.format(**template_args)) |
| |
| template_function_declaration = 'constexpr const TFunction kFunction_{unique_name}(BuiltInId::{unique_name}, BuiltInName::{name_with_suffix}, TExtension::{extension}, BuiltInParameters::{parameters_var_name}, {param_count}, {return_type}, BuiltInName::{unique_name}, EOp{op}, {known_to_not_have_side_effects});' |
| function_declarations.append(template_function_declaration.format(**template_args)) |
| |
| template_insert_function = ' insertBuiltIn({level}, &BuiltInFunction::kFunction_{unique_name});' |
| insert_functions_by_condition[condition].append(template_insert_function.format(**template_args)) |
| |
| id_counter += 1 |
| |
| def process_function_group(group_name, group): |
| condition = 'NO_CONDITION' |
| if 'condition' in group: |
| condition = group['condition'] |
| if condition not in insert_functions_by_condition: |
| insert_functions_by_condition[condition] = [] |
| |
| process_single_function_group(condition, group_name, group) |
| |
| if 'subgroups' in group: |
| for subgroup_name, subgroup in group['subgroups'].iteritems(): |
| process_function_group(subgroup_name, subgroup) |
| |
| for group_name, group in parsed_functions.iteritems(): |
| process_function_group(group_name, group) |
| |
| output_strings = { |
| 'script_name': os.path.basename(__file__), |
| 'copyright_year': date.today().year, |
| |
| 'builtin_id_declarations': '\n'.join(builtin_id_declarations), |
| 'last_static_builtin_id': id_counter - 1, |
| 'name_declarations': '\n'.join(sorted(list(name_declarations))), |
| |
| 'function_data_source_name': functions_txt_filename, |
| 'function_declarations': '\n'.join(function_declarations), |
| 'parameter_declarations': '\n'.join(sorted(parameter_declarations)) |
| } |
| |
| insert_functions = [] |
| get_unmangled_builtin = [] |
| |
| def get_shader_version_condition_for_level(level): |
| if level == 'ESSL3_1_BUILTINS': |
| return 'shaderVersion >= 310' |
| elif level == 'ESSL3_BUILTINS': |
| return 'shaderVersion >= 300' |
| elif level == 'ESSL1_BUILTINS': |
| return 'shaderVersion == 100' |
| elif level == 'COMMON_BUILTINS': |
| return '' |
| else: |
| raise Exception('Unsupported symbol table level') |
| |
| for condition in insert_functions_by_condition: |
| if condition != 'NO_CONDITION': |
| condition_header = ' if ({condition})\n {{'.format(condition = condition) |
| insert_functions.append(condition_header) |
| for insert_function in insert_functions_by_condition[condition]: |
| insert_functions.append(insert_function) |
| if condition != 'NO_CONDITION': |
| insert_functions.append('}') |
| |
| for level in levels: |
| level_condition = get_shader_version_condition_for_level(level) |
| if level_condition != '': |
| get_unmangled_builtin.append('if ({condition})\n {{'.format(condition = level_condition)) |
| |
| for condition, functions in unmangled_function_if_statements.iter_conditions(level): |
| if len(functions) > 0: |
| if condition != 'NO_CONDITION': |
| condition_header = ' if ({condition})\n {{'.format(condition = condition) |
| get_unmangled_builtin.append(condition_header.replace('shaderType', 'mShaderType')) |
| |
| get_unmangled_builtin_switch = {} |
| for function_name, get_unmangled_case in functions.iteritems(): |
| name_hash = hash32(function_name) |
| if name_hash not in get_unmangled_builtin_switch: |
| get_unmangled_builtin_switch[name_hash] = [] |
| get_unmangled_builtin_switch[name_hash].append(get_unmangled_case['code']) |
| |
| get_unmangled_builtin.append('switch(nameHash) {') |
| for name_hash, get_unmangled_cases in sorted(get_unmangled_builtin_switch.iteritems()): |
| get_unmangled_builtin.append('case 0x' + ('%x' % name_hash) + 'u:\n{') |
| get_unmangled_builtin += get_unmangled_cases |
| get_unmangled_builtin.append('break;\n}') |
| get_unmangled_builtin.append('}') |
| |
| if condition != 'NO_CONDITION': |
| get_unmangled_builtin.append('}') |
| |
| if level_condition != '': |
| get_unmangled_builtin.append('}') |
| |
| get_unmangled_builtin.append('return nullptr;') |
| |
| output_strings['insert_functions'] = '\n'.join(insert_functions) |
| output_strings['unmangled_builtin_declarations'] = '\n'.join(sorted(unmangled_builtin_declarations)) |
| output_strings['get_unmangled_builtin'] = '\n'.join(get_unmangled_builtin) |
| output_strings['script_generated_hash_tests'] = '\n'.join(script_generated_hash_tests.iterkeys()) |
| |
| with open('../../tests/compiler_tests/ImmutableString_test_autogen.cpp', 'wt') as outfile_cpp: |
| output_cpp = template_immutablestringtest_cpp.format(**output_strings) |
| outfile_cpp.write(output_cpp) |
| |
| with open('SymbolTable_autogen.cpp', 'wt') as outfile_cpp: |
| output_cpp = template_symboltable_cpp.format(**output_strings) |
| outfile_cpp.write(output_cpp) |
| |
