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kc3-lang/angle/src/compiler/translator/gen_builtin_symbols.py

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  • Author : Olli Etuaho
    Date : 2018-08-23 14:10:02
    Hash : 8ca60805
    Message : Add 2D MS array sampler support to compiler This also places textureSize(gsampler2DMS) correctly in the ESSL 3.10 builtins instead of ESSL 3.00 builtins. BUG=angleproject:2775 TEST=angle_unittests Change-Id: Ieb0f7a7424a5558a5569af6d4fcbcc9b12ec9840 Reviewed-on: https://chromium-review.googlesource.com/1186466 Commit-Queue: Olli Etuaho <oetuaho@nvidia.com> Reviewed-by: Jamie Madill <jmadill@chromium.org>

  • src/compiler/translator/gen_builtin_symbols.py
  • #!/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 hashlib
    import json
    import re
    import os
    import sys
    
    def set_working_dir():
        script_dir = os.path.dirname(os.path.abspath(__file__))
        os.chdir(script_dir)
    
    set_working_dir()
    
    variables_json_filename = 'builtin_variables.json'
    functions_txt_filename = 'builtin_function_declarations.txt'
    hash_filename = 'builtin_symbols_hash_autogen.txt'
    
    all_inputs = [os.path.abspath(__file__), variables_json_filename, functions_txt_filename]
    # This script takes a while to run since it searches for hash collisions of mangled names. To avoid
    # running it unnecessarily, we first check if we've already ran it with the same inputs.
    m = hashlib.md5()
    for input_path in all_inputs:
        with open(input_path, 'rU') as input_file:
            m.update(input_file.read())
    input_hash = m.hexdigest()
    if os.path.exists(hash_filename):
        with open(hash_filename) as hash_file:
            if input_hash == hash_file.read():
                print "Canceling ESSL static builtins code generator - generated hash matches inputs."
                sys.exit(0)
    
    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
    """
    
    # The header file has a "get" function for each variable. They are used in traversers.
    # It also declares id values of built-ins with human readable names, so they can be used to identify built-ins.
    template_builtin_header = """// GENERATED FILE - DO NOT EDIT.
    // Generated by {script_name} using data from {variable_data_source_name} and
    // {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.
    //
    // BuiltIn_autogen.h:
    //   Compile-time initialized built-ins.
    
    #ifndef COMPILER_TRANSLATOR_TREEUTIL_BUILTIN_AUTOGEN_H_
    #define COMPILER_TRANSLATOR_TREEUTIL_BUILTIN_AUTOGEN_H_
    
    #include "compiler/translator/SymbolUniqueId.h"
    
    namespace sh
    {{
    
    class TVariable;
    
    class BuiltInId
    {{
    public:
    
    {builtin_id_declarations}
    
    }};  // class BuiltInId
    
    namespace BuiltInVariable
    {{
    
    {get_variable_declarations}
    
    }}  // namespace BuiltInVariable
    
    }}  // namespace sh
    
    #endif  // COMPILER_TRANSLATOR_TREEUTIL_BUILTIN_AUTOGEN_H_
    """
    
    template_symboltable_h = """// GENERATED FILE - DO NOT EDIT.
    // Generated by {script_name} using data from {variable_data_source_name} and
    // {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.h:
    //   Autogenerated member variables of TSymbolTable.
    
    #ifndef COMPILER_TRANSLATOR_SYMBOLTABLE_AUTOGEN_H_
    #define COMPILER_TRANSLATOR_SYMBOLTABLE_AUTOGEN_H_
    
    namespace sh
    {{
    
    class TSymbolTableBase
    {{
      protected:
        TSymbolTableBase() = default;
    {declare_member_variables}
    }};
    
    }}  // namespace sh
    
    #endif  // COMPILER_TRANSLATOR_SYMBOLTABLE_AUTOGEN_H_
    """
    
    # 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 {variable_data_source_name} and
    // {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/tree_util/BuiltIn_autogen.h"
    #include "compiler/translator/ImmutableString.h"
    #include "compiler/translator/StaticType.h"
    #include "compiler/translator/Symbol.h"
    #include "compiler/translator/SymbolTable.h"
    
    namespace sh
    {{
    
    // Since some of the BuiltInId declarations are used outside of constexpr expressions, we need to
    // have these definitions without an initializer. C++17 should eventually remove the need for this.
    {builtin_id_definitions}
    
    const int TSymbolTable::kLastBuiltInId = {last_builtin_id};
    
    namespace BuiltInName
    {{
    
    constexpr const ImmutableString _empty("");
    {name_declarations}
    
    }}  // namespace BuiltInName
    
    // TODO(oetuaho): Would be nice to make this a class instead of a namespace so that we could friend
    // this from TVariable. 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 BuiltInVariable
    {{
    
    {variable_declarations}
    
    {get_variable_definitions}
    
    }};  // namespace BuiltInVariable
    
    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::initializeBuiltInVariables(sh::GLenum shaderType,
                                                  ShShaderSpec spec,
                                                  const ShBuiltInResources &resources)
    {{
        const TSourceLoc zeroSourceLoc = {{0, 0, 0, 0}};
    {init_member_variables}
    }}
    
    const TSymbol *TSymbolTable::findBuiltIn(const ImmutableString &name,
                                             int shaderVersion) const
    {{
        if (name.length() > {max_mangled_name_length})
        {{
            return nullptr;
        }}
        uint32_t nameHash = name.mangledNameHash();
        if ((nameHash >> 31) != 0)
        {{
            // The name contains [ or {{.
            return nullptr;
        }}
    {get_builtin}
    }}
    
    const UnmangledBuiltIn *TSymbolTable::getUnmangledBuiltInForShaderVersion(const ImmutableString &name, int shaderVersion)
    {{
        if (name.length() > {max_unmangled_name_length})
        {{
            return nullptr;
        }}
        uint32_t nameHash = name.mangledNameHash();
    {get_unmangled_builtin}
    }}
    
    }}  // namespace sh
    """
    
    template_parsecontext_header = """// GENERATED FILE - DO NOT EDIT.
    // Generated by {script_name} using data from {variable_data_source_name} and
    // {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.
    //
    // ParseContext_autogen.h:
    //   Helpers for built-in related checks.
    
    #ifndef COMPILER_TRANSLATOR_PARSECONTEXT_AUTOGEN_H_
    #define COMPILER_TRANSLATOR_PARSECONTEXT_AUTOGEN_H_
    
    namespace sh
    {{
    
    namespace BuiltInGroup
    {{
    
    {is_in_group_definitions}
    
    }}  // namespace BuiltInGroup
    
    }}  // namespace sh
    
    #endif  // COMPILER_TRANSLATOR_PARSECONTEXT_AUTOGEN_H_
    
    """
    
    parsed_variables = None
    
    basic_types_enumeration = [
        'Void',
        'Float',
        'Int',
        'UInt',
        'Bool',
        'AtomicCounter',
        'YuvCscStandardEXT',
        'Sampler2D',
        'Sampler3D',
        'SamplerCube',
        'Sampler2DArray',
        'SamplerExternalOES',
        'SamplerExternal2DY2YEXT',
        'Sampler2DRect',
        'Sampler2DMS',
        'Sampler2DMSArray',
        'ISampler2D',
        'ISampler3D',
        'ISamplerCube',
        'ISampler2DArray',
        'ISampler2DMS',
        'ISampler2DMSArray',
        'USampler2D',
        'USampler3D',
        'USamplerCube',
        'USampler2DArray',
        'USampler2DMS',
        'USampler2DMSArray',
        'Sampler2DShadow',
        'SamplerCubeShadow',
        'Sampler2DArrayShadow',
        'Image2D',
        'IImage2D',
        'UImage2D',
        'Image3D',
        'IImage3D',
        'UImage3D',
        'Image2DArray',
        'IImage2DArray',
        'UImage2DArray',
        'ImageCube',
        'IImageCube',
        'UImageCube'
    ]
    
    def get_basic_mangled_name(basic):
        index = basic_types_enumeration.index(basic)
        if index < 26:
            return chr(ord('A') + index)
        return chr(ord('a') + index - 26)
    
    levels = ['ESSL3_1_BUILTINS', 'ESSL3_BUILTINS', 'ESSL1_BUILTINS', 'COMMON_BUILTINS']
    
    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')
    
    class GroupedList:
        """"Class for storing a list of objects grouped by symbol table level and condition."""
        def __init__(self):
            self.objs = OrderedDict()
            self.max_name_length = 0
            # 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
            if len(name) > self.max_name_length:
                self.max_name_length = len(name)
    
        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 get_max_name_length(self):
            return self.max_name_length
    
        def get_switch_code(self):
            code = []
            for level in levels:
                if len(self.objs[level]) == 0:
                    continue
                level_condition = get_shader_version_condition_for_level(level)
                if level_condition != '':
                    code.append('if ({condition})\n {{'.format(condition = level_condition))
    
                for condition, objs in self.objs[level].iteritems():
                    if len(objs) > 0:
                        if condition != 'NO_CONDITION':
                            condition_header = '  if ({condition})\n {{'.format(condition = condition)
                            code.append(condition_header.replace('shaderType', 'mShaderType'))
    
                        switch = {}
                        for name, obj in objs.iteritems():
                            name_hash = mangledNameHash(name)
                            if name_hash not in switch:
                                switch[name_hash] = []
                            switch[name_hash].append(obj['hash_matched_code'])
    
                        code.append('switch(nameHash) {')
                        for name_hash, obj in sorted(switch.iteritems()):
                            code.append('case 0x' + ('%08x' % name_hash) + 'u:\n{')
                            code += obj
                            code.append('break;\n}')
                        code.append('}')
    
                        if condition != 'NO_CONDITION':
                            code.append('}')
    
                if level_condition != '':
                    code.append('}')
            code.append('return nullptr;')
            return '\n'.join(code)
    
    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_dynamic_type_string(self):
            template_type = 'new TType(Ebt{basic}, Ebp{precision}, Evq{qualifier}, {primarySize}, {secondarySize})'
            return template_type.format(**self.data)
    
        def get_mangled_name(self):
            mangled_name = ''
    
            size_key = (self.data['secondarySize'] - 1) * 4 + self.data['primarySize'] - 1
            if size_key < 10:
                mangled_name += chr(ord('0') + size_key)
            else:
                mangled_name += chr(ord('A') + size_key - 10)
    
            mangled_name += get_basic_mangled_name(self.data['basic'])
            return mangled_name
    
        def get_human_readable_name(self):
            name = self.data['basic']
            name += str(self.data['primarySize'])
            if self.data['secondarySize'] > 1:
                name += 'x' + str(self.data['secondarySize'])
            return 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 get_object_size(self):
            return self.data['primarySize'] * self.data['secondarySize']
    
        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)
    
    with open(variables_json_filename) as f:
        parsed_variables = json.load(f, object_pairs_hook=OrderedDict)
    
    # Declarations of symbol unique ids
    builtin_id_declarations = []
    
    # Definitions of symbol unique ids needed for those ids used outside of constexpr expressions.
    builtin_id_definitions = []
    
    # Declarations of name string variables
    name_declarations = set()
    
    # Declarations of builtin TVariables
    variable_declarations = []
    
    # Declarations of parameter arrays for builtin TFunctions. Map from C++ variable name to the full
    # declaration.
    parameter_declarations = {}
    
    # Declarations of builtin TFunctions
    function_declarations = []
    
    # Functions for querying the pointer to a specific TVariable.
    get_variable_declarations = []
    get_variable_definitions = []
    
    # Code for defining TVariables stored as members of TSymbolTable.
    declare_member_variables = []
    init_member_variables = []
    
    # Code for querying builtins.
    get_builtin_if_statements = GroupedList()
    
    # 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()
    
    # Functions for testing whether a builtin belongs in group.
    is_in_group_definitions = []
    
    # Counts of variables with a certain name string:
    variable_name_count = {}
    
    id_counter = 0
    
    fnvPrime = 16777619
    def hash32(str):
        fnvOffsetBasis = 0x811c9dc5
        hash = fnvOffsetBasis
        for c in str:
            hash = hash ^ ord(c)
            hash = (hash * fnvPrime) & 0xffffffff
        return hash
    
    def mangledNameHash(str, save_test = True):
        hash = hash32(str)
        index = 0
        max_six_bit_value = (1 << 6) - 1
        paren_location = max_six_bit_value
        has_array_or_block_param_bit = 0
        for c in str:
            if c == '(':
                paren_location = index
            elif c == '{' or c == '[':
                has_array_or_block_param_bit = 1
            index += 1
        hash = ((hash >> 13) ^ (hash & 0x1fff)) | (index << 19) | (paren_location << 25) | (has_array_or_block_param_bit << 31)
        if save_test:
            sanity_check = '    ASSERT_EQ(0x{hash}u, ImmutableString("{str}").mangledNameHash());'.format(hash = ('%08x' % 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_function_human_readable_name(function_name, parameters):
        name = function_name
        for param in parameters:
            name += '_' + param.get_human_readable_name()
        return name
    
    ttype_mangled_name_variants = []
    for basic_type in basic_types_enumeration:
        primary_sizes = [1]
        secondary_sizes = [1]
        if basic_type in ['Float', 'Int', 'UInt', 'Bool']:
            primary_sizes = [1, 2, 3, 4]
        if basic_type == 'Float':
            secondary_sizes = [1, 2, 3, 4]
        for primary_size in primary_sizes:
            for secondary_size in secondary_sizes:
                type = TType({'basic': basic_type, 'primarySize': primary_size, 'secondarySize': secondary_size})
                ttype_mangled_name_variants.append(type.get_mangled_name())
    
    def gen_parameters_variant_ids(str_len):
        # Note that this doesn't generate variants with array parameters or struct / interface block parameters. They are assumed to have been filtered out separately.
        if str_len % 2 != 0:
            raise Exception('Expecting parameters mangled name length to be divisible by two')
        num_variants = pow(len(ttype_mangled_name_variants), str_len / 2)
        return xrange(num_variants)
    
    def get_parameters_mangled_name_variant(variant_id, paren_location, total_length):
        str_len = total_length - paren_location - 1
        if str_len % 2 != 0:
            raise Exception('Expecting parameters mangled name length to be divisible by two')
        variant = ''
        while (len(variant)) < str_len:
            parameter_index = len(variant) / 2
            parameter_variant_index = variant_id
            for i in xrange(parameter_index):
                parameter_variant_index = parameter_variant_index / len(ttype_mangled_name_variants)
            parameter_variant_index = parameter_variant_index % len(ttype_mangled_name_variants)
            variant += ttype_mangled_name_variants[parameter_variant_index]
        return variant
    
    # Calculate the mangled name hash of a common prefix string that's been pre-hashed with hash32()
    # plus a variant of the parameters. This is faster than constructing the whole string and then
    # calculating the hash for that.
    num_type_variants = len(ttype_mangled_name_variants)
    def get_mangled_name_variant_hash(prefix_hash32, variant_id, paren_location, total_length):
        hash = prefix_hash32
        parameter_count = (total_length - paren_location) >> 1
        parameter_variant_id_base = variant_id
        for parameter_index in xrange(parameter_count):
            parameter_variant_index = parameter_variant_id_base % num_type_variants
            param_str = ttype_mangled_name_variants[parameter_variant_index]
            hash = hash ^ ord(param_str[0])
            hash = (hash * fnvPrime) & 0xffffffff
            hash = hash ^ ord(param_str[1])
            hash = (hash * fnvPrime) & 0xffffffff
            parameter_variant_id_base = parameter_variant_id_base / num_type_variants
        return ((hash >> 13) ^ (hash & 0x1fff)) | (total_length << 19) | (paren_location << 25)
    
    # Sanity check for get_mangled_name_variant_hash:
    if get_mangled_name_variant_hash(hash32("atan("), 3, 4, len("atan(0123")) != mangledNameHash("atan(" + get_parameters_mangled_name_variant(3, 4, len("atan(0123"))):
        raise Exception("get_mangled_name_variant_hash sanity check failed")
    
    def mangled_name_hash_can_collide_with_different_parameters(function_variant_props):
        # We exhaustively search through all possible lists of parameters and see if any other mangled
        # name has the same hash.
        mangled_name = function_variant_props['mangled_name']
        mangled_name_len = len(mangled_name)
        hash = mangledNameHash(mangled_name)
        mangled_name_prefix = function_variant_props['name'] + '('
        paren_location = len(mangled_name_prefix) - 1
        prefix_hash32 = hash32(mangled_name_prefix)
        parameters_mangled_name_len = len(mangled_name) - len(mangled_name_prefix)
        parameters_mangled_name = mangled_name[len(mangled_name_prefix):]
        if (parameters_mangled_name_len > 6):
            # This increases the complexity of searching for hash collisions considerably, so rather than doing it we just conservatively assume that a hash collision may be possible.
            return True
        for variant_id in gen_parameters_variant_ids(parameters_mangled_name_len):
            if get_mangled_name_variant_hash(prefix_hash32, variant_id, paren_location, mangled_name_len) == hash and get_parameters_mangled_name_variant(variant_id, paren_location, mangled_name_len) != parameters_mangled_name:
                return True
        return False
    
    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_parameter(param):
        unique_name = 'pt'
        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 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 define_constexpr_variable(template_args):
        template_variable_declaration = 'constexpr const TVariable kVar_{name_with_suffix}(BuiltInId::{name_with_suffix}, BuiltInName::{name}, SymbolType::BuiltIn, TExtension::{extension}, {type});'
        variable_declarations.append(template_variable_declaration.format(**template_args))
    
    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()
    defined_parameter_names = 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, {'hash_matched_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_args['human_readable_name'] = get_function_human_readable_name(template_args['name_with_suffix'], parameters)
                template_args['mangled_name_length'] = len(template_args['mangled_name'])
    
                template_builtin_id_declaration = '    static constexpr const TSymbolUniqueId {human_readable_name} = TSymbolUniqueId({id});'
                builtin_id_declarations.append(template_builtin_id_declaration.format(**template_args))
                template_builtin_id_definition = 'constexpr const TSymbolUniqueId BuiltInId::{human_readable_name};'
                builtin_id_definitions.append(template_builtin_id_definition.format(**template_args))
    
                parameters_list = []
                for param in parameters:
                    unique_param_name = get_variable_name_to_store_parameter(param)
                    param_template_args = {
                        'name': '_empty',
                        'name_with_suffix': unique_param_name,
                        'type': param.get_statictype_string(),
                        'extension': 'UNDEFINED'
                    }
                    if unique_param_name not in defined_parameter_names:
                        id_counter += 1
                        param_template_args['id'] = id_counter
                        template_builtin_id_declaration = '    static constexpr const TSymbolUniqueId {name_with_suffix} = TSymbolUniqueId({id});'
                        builtin_id_declarations.append(template_builtin_id_declaration.format(**param_template_args))
                        define_constexpr_variable(param_template_args)
                        defined_parameter_names.add(unique_param_name)
                    parameters_list.append('&BuiltInVariable::kVar_{name_with_suffix}'.format(**param_template_args));
    
                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 TVariable *{parameters_var_name}[{param_count}] = {{ {parameters_list} }};'
                    parameter_declarations[template_args['parameters_var_name']] = template_parameter_list_declaration.format(**template_args)
                else:
                    template_parameter_list_declaration = 'constexpr const TVariable **{parameters_var_name} = nullptr;'
                    parameter_declarations[template_args['parameters_var_name']] = template_parameter_list_declaration.format(**template_args)
    
                template_function_declaration = 'constexpr const TFunction kFunction_{unique_name}(BuiltInId::{human_readable_name}, BuiltInName::{name_with_suffix}, TExtension::{extension}, BuiltInParameters::{parameters_var_name}, {param_count}, {return_type}, EOp{op}, {known_to_not_have_side_effects});'
                function_declarations.append(template_function_declaration.format(**template_args))
    
                # If we can make sure that there's no other mangled name with the same length, function
                # name and hash, then we can only check the mangled name length and the function name
                # instead of checking the whole mangled name.
                template_mangled_if = ''
                if mangled_name_hash_can_collide_with_different_parameters(template_args):
                    template_mangled_name_declaration = 'constexpr const ImmutableString {unique_name}("{mangled_name}");'
                    name_declarations.add(template_mangled_name_declaration.format(**template_args))
                    template_mangled_if = """if (name == BuiltInName::{unique_name})
    {{
        return &BuiltInFunction::kFunction_{unique_name};
    }}"""
                else:
                    template_mangled_if = """if (name.beginsWith(BuiltInName::{name_with_suffix}))
    {{
        ASSERT(name.length() == {mangled_name_length});
        return &BuiltInFunction::kFunction_{unique_name};
    }}"""
                mangled_if = template_mangled_if.format(**template_args)
                get_builtin_if_statements.add_obj(level, condition, template_args['mangled_name'], {'hash_matched_code': mangled_if})
    
                id_counter += 1
    
    def process_function_group(group_name, group):
        global id_counter
        first_id = id_counter
    
        condition = 'NO_CONDITION'
        if 'condition' in group:
            condition = group['condition']
    
        process_single_function_group(condition, group_name, group)
    
        if 'subgroups' in group:
            for subgroup_name, subgroup in group['subgroups'].iteritems():
                process_function_group(group_name + subgroup_name, subgroup)
    
        if 'queryFunction' in group:
            template_args = {
                'first_id': first_id,
                'last_id': id_counter - 1,
                'group_name': group_name
            }
            template_is_in_group_definition = """bool is{group_name}(const TFunction *func)
    {{
        int id = func->uniqueId().get();
        return id >= {first_id} && id <= {last_id};
    }}"""
            is_in_group_definitions.append(template_is_in_group_definition.format(**template_args))
    
    for group_name, group in parsed_functions.iteritems():
        process_function_group(group_name, group)
    
    def prune_parameters_arrays():
        # We can share parameters arrays between functions in case one array is a subarray of another.
        global parameter_declarations
        parameter_variable_name_replacements = {}
        used_param_variable_names = set()
        for param_variable_name, param_declaration in sorted(parameter_declarations.iteritems(), key=lambda item: -len(item[0])):
            replaced = False
            for used in used_param_variable_names:
                if used.startswith(param_variable_name):
                    parameter_variable_name_replacements[param_variable_name] = used
                    replaced = True
                    break
            if not replaced:
                used_param_variable_names.add(param_variable_name)
        parameter_declarations = [value for key, value in parameter_declarations.iteritems() if key in used_param_variable_names]
    
        for i in xrange(len(function_declarations)):
            for replaced, replacement in parameter_variable_name_replacements.iteritems():
                function_declarations[i] = function_declarations[i].replace('BuiltInParameters::' + replaced + ',', 'BuiltInParameters::' + replacement + ',')
    prune_parameters_arrays()
    
    def process_single_variable_group(condition, group_name, group):
        global id_counter
        if 'variables' not in group:
            return
        for variable_name, props in group['variables'].iteritems():
            level = props['level']
            template_args = {
                'id': id_counter,
                'name': variable_name,
                'name_with_suffix': variable_name + get_suffix(props),
                'level': props['level'],
                'extension': get_extension(props),
                'class': 'TVariable'
            }
    
            template_builtin_id_declaration = '    static constexpr const TSymbolUniqueId {name_with_suffix} = TSymbolUniqueId({id});'
            builtin_id_declarations.append(template_builtin_id_declaration.format(**template_args))
            template_builtin_id_definition = 'constexpr const TSymbolUniqueId BuiltInId::{name_with_suffix};'
            builtin_id_definitions.append(template_builtin_id_definition.format(**template_args))
    
            template_name_declaration = 'constexpr const ImmutableString {name}("{name}");'
            name_declarations.add(template_name_declaration.format(**template_args))
    
            is_member = True
            template_init_variable = ''
    
            if 'type' in props:
                if props['type']['basic'] != 'Bool' and 'precision' not in props['type']:
                    raise Exception('Missing precision for variable ' + variable_name)
                template_args['type'] = TType(props['type']).get_statictype_string()
    
            if 'fields' in props:
                # Handle struct and interface block definitions.
                template_args['class'] = props['class']
                template_args['fields'] = 'fields_{name_with_suffix}'.format(**template_args)
                init_member_variables.append('    TFieldList *{fields} = new TFieldList();'.format(**template_args))
                for field_name, field_type in props['fields'].iteritems():
                    template_args['field_name'] = field_name
                    template_args['field_type'] = TType(field_type).get_dynamic_type_string()
                    template_name_declaration = 'constexpr const ImmutableString {field_name}("{field_name}");'
                    name_declarations.add(template_name_declaration.format(**template_args))
                    template_add_field = '    {fields}->push_back(new TField({field_type}, BuiltInName::{field_name}, zeroSourceLoc, SymbolType::BuiltIn));'
                    init_member_variables.append(template_add_field.format(**template_args))
                template_init_temp_variable = '    {class} *{name_with_suffix} = new {class}(BuiltInId::{name_with_suffix}, BuiltInName::{name}, TExtension::{extension}, {fields});'
                init_member_variables.append(template_init_temp_variable.format(**template_args))
                if 'private' in props and props['private']:
                    is_member = False
                else:
                    template_init_variable = '    mVar_{name_with_suffix} = {name_with_suffix};'
    
            elif 'initDynamicType' in props:
                # Handle variables whose type can't be expressed as TStaticType
                # (type is a struct or has variable array size for example).
                template_args['type_name'] = 'type_{name_with_suffix}'.format(**template_args)
                template_args['type'] = template_args['type_name']
                template_args['initDynamicType'] = props['initDynamicType'].format(**template_args)
                template_init_variable = """    {initDynamicType}
        {type_name}->realize();
        mVar_{name_with_suffix} = new TVariable(BuiltInId::{name_with_suffix}, BuiltInName::{name}, SymbolType::BuiltIn, TExtension::{extension}, {type});"""
    
            elif 'value' in props:
                # Handle variables with constant value, such as gl_MaxDrawBuffers.
                if props['value'] != 'resources':
                    raise Exception('Unrecognized value source in variable properties: ' + str(props['value']))
                resources_key = variable_name[3:]
                if 'valueKey' in props:
                    resources_key = props['valueKey']
                template_args['value'] = 'resources.' + resources_key
                template_args['object_size'] = TType(props['type']).get_object_size()
                template_init_variable = """    mVar_{name_with_suffix} = new TVariable(BuiltInId::{name_with_suffix}, BuiltInName::{name}, SymbolType::BuiltIn, TExtension::{extension}, {type});
        {{
            TConstantUnion *unionArray = new TConstantUnion[{object_size}];
            unionArray[0].setIConst({value});
            mVar_{name_with_suffix}->shareConstPointer(unionArray);
        }}"""
                if template_args['object_size'] > 1:
                    template_init_variable = """    mVar_{name_with_suffix} = new TVariable(BuiltInId::{name_with_suffix}, BuiltInName::{name}, SymbolType::BuiltIn, TExtension::{extension}, {type});
        {{
            TConstantUnion *unionArray = new TConstantUnion[{object_size}];
            for (size_t index = 0u; index < {object_size}; ++index)
            {{
                unionArray[index].setIConst({value}[index]);
            }}
            mVar_{name_with_suffix}->shareConstPointer(unionArray);
        }}"""
    
            else:
                # Handle variables that can be stored as constexpr TVariable like
                # gl_Position, gl_FragColor etc.
                define_constexpr_variable(template_args)
                is_member = False
    
                template_get_variable_declaration = 'const TVariable *{name_with_suffix}();'
                get_variable_declarations.append(template_get_variable_declaration.format(**template_args))
    
                template_get_variable_definition = """const TVariable *{name_with_suffix}()
    {{
        return &kVar_{name_with_suffix};
    }}
    """
                get_variable_definitions.append(template_get_variable_definition.format(**template_args))
    
                if level != 'GLSL_BUILTINS':
                    template_name_if = """if (name == BuiltInName::{name})
    {{
        return &BuiltInVariable::kVar_{name_with_suffix};
    }}"""
                    name_if = template_name_if.format(**template_args)
                    get_builtin_if_statements.add_obj(level, condition, template_args['name'], {'hash_matched_code': name_if})
    
            if is_member:
                get_condition = condition
                init_conditionally = (condition != 'NO_CONDITION' and variable_name_count[variable_name] == 1)
                if init_conditionally:
                    # Instead of having the condition if statement at lookup, it's cheaper to have it at initialization time.
                    init_member_variables.append('    if ({condition})\n    {{'.format(condition = condition))
                    template_args['condition_comment'] = '\n    // Only initialized if {condition}'.format(condition = condition)
                    get_condition = 'NO_CONDITION'
                else:
                    template_args['condition_comment'] = ''
                init_member_variables.append(template_init_variable.format(**template_args))
                if init_conditionally:
                    init_member_variables.append('    }')
    
                template_declare_member_variable = '{class} *mVar_{name_with_suffix} = nullptr;'
                declare_member_variables.append(template_declare_member_variable.format(**template_args))
    
                if level != 'GLSL_BUILTINS':
                    template_name_if = """if (name == BuiltInName::{name})
    {{{condition_comment}
        return mVar_{name_with_suffix};
    }}"""
                    name_if = template_name_if.format(**template_args)
                    get_builtin_if_statements.add_obj(level, get_condition, variable_name, {'hash_matched_code': name_if})
    
            id_counter += 1
    
    def count_variable_names(group):
        if 'variables' in group:
            for name in group['variables'].iterkeys():
                if name not in variable_name_count:
                    variable_name_count[name] = 1
                else:
                    variable_name_count[name] += 1
        if 'subgroups' in group:
            for subgroup_name, subgroup in group['subgroups'].iteritems():
                count_variable_names(subgroup)
    
    def process_variable_group(parent_condition, group_name, group):
        condition = 'NO_CONDITION'
        if 'condition' in group:
            condition = group['condition']
    
        if parent_condition != 'NO_CONDITION':
            if condition == 'NO_CONDITION':
                condition = parent_condition
            else:
                condition = '({cond1}) && ({cond2})'.format(cond1 = parent_condition, cond2 = condition)
    
        process_single_variable_group(condition, group_name, group)
    
        if 'subgroups' in group:
            for subgroup_name, subgroup in group['subgroups'].iteritems():
                process_variable_group(condition, subgroup_name, subgroup)
    
    for group_name, group in parsed_variables.iteritems():
        count_variable_names(group)
    
    for group_name, group in parsed_variables.iteritems():
        process_variable_group('NO_CONDITION', group_name, group)
    
    output_strings = {
        'script_name': os.path.basename(__file__),
        'copyright_year': date.today().year,
    
        'builtin_id_declarations': '\n'.join(builtin_id_declarations),
        'builtin_id_definitions': '\n'.join(builtin_id_definitions),
        'last_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)),
    
        'is_in_group_definitions': '\n'.join(is_in_group_definitions),
    
        'variable_data_source_name': variables_json_filename,
        'variable_declarations': '\n'.join(sorted(variable_declarations)),
        'get_variable_declarations': '\n'.join(sorted(get_variable_declarations)),
        'get_variable_definitions': '\n'.join(sorted(get_variable_definitions)),
        'unmangled_builtin_declarations': '\n'.join(sorted(unmangled_builtin_declarations)),
    
        'declare_member_variables': '\n'.join(declare_member_variables),
        'init_member_variables': '\n'.join(init_member_variables),
    
        'get_unmangled_builtin': unmangled_function_if_statements.get_switch_code(),
        'get_builtin': get_builtin_if_statements.get_switch_code(),
        'max_unmangled_name_length': unmangled_function_if_statements.get_max_name_length(),
        'max_mangled_name_length': get_builtin_if_statements.get_max_name_length(),
    
        '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('tree_util/BuiltIn_autogen.h', 'wt') as outfile_header:
        output_header = template_builtin_header.format(**output_strings)
        outfile_header.write(output_header)
    
    with open('SymbolTable_autogen.cpp', 'wt') as outfile_cpp:
        output_cpp = template_symboltable_cpp.format(**output_strings)
        outfile_cpp.write(output_cpp)
    
    with open('ParseContext_autogen.h', 'wt') as outfile_header:
        output_header = template_parsecontext_header.format(**output_strings)
        outfile_header.write(output_header)
    
    with open('SymbolTable_autogen.h', 'wt') as outfile_h:
        output_h = template_symboltable_h.format(**output_strings)
        outfile_h.write(output_h)
    
    with open(hash_filename, 'wt') as hash_file:
        hash_file.write(input_hash)