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"""Code generators for multipass dummy drivers for online model evaluation."""
from automata import PTA
header_template = """
#ifndef DFATOOL_{name}_H
#define DFATOOL_{name}_H
{includes}
class {name}
{{
private:
{name}(const {name} ©);
{private_variables}
{private_functions}
public:
{enums}
{public_variables}
{public_functions}
}};
extern {name} {name_lower};
#endif
"""
implementation_template = """
#include "driver/dummy.h"
{functions}
{name} {name_lower};
"""
array_template = """
{type} const {name}[{length}] = {{{elements}}};
"""
class ClassFunction:
def __init__(self, class_name, return_type, name, arguments, body):
"""
Create a new C++ class method wrapper.
:param class_name: Class name
:param return_type: function return type
:param name: function name
:param arguments: list of arguments (must contain type and name)
:param body: function body (str)
"""
self.class_name = class_name
self.return_type = return_type
self.name = name
self.arguments = arguments
self.body = body
def get_definition(self):
return '{} {}({});'.format(self.return_type, self.name, ', '.join(self.arguments))
def get_implementation(self):
if self.body is None:
return ''
return '{} {}::{}({}) {{\n{}}}\n'.format(self.return_type, self.class_name, self.name, ', '.join(self.arguments), self.body)
class AccountingMethod:
def __init__(self, class_name: str, pta: PTA, ):
self.class_name = class_name
self.pta = pta
self.include_paths = list()
self.private_variables = list()
self.public_variables = list()
self.private_functions = list()
self.public_functions = list()
def pre_transition_hook(self, transition):
return ''
def init_code(self):
return ''
def get_includes(self):
return map(lambda x: '#include "{}"'.format(x), self.include_paths)
class StaticStateOnlyAccounting(AccountingMethod):
def __init__(self, class_name: str, pta: PTA, ts_type = 'unsigned int', power_type = 'unsigned int', energy_type = 'unsigned long'):
super().__init__(class_name, pta)
self.ts_type = ts_type
self.include_paths.append('driver/uptime.h')
self.private_variables.append('unsigned char lastState;')
self.private_variables.append('{} lastStateChange;'.format(ts_type))
self.private_variables.append(array_template.format(
type = power_type,
name = 'state_power',
length = len(pta.state),
elements = ', '.join(map(lambda state_name: str(pta.state[state_name].power), pta.get_state_names()))
))
self.private_variables.append('{} timeInState[{}];'.format(ts_type, len(pta.state)))
get_energy_function = """
{energy_type} total_energy = 0;
for (int i = 0; i < {num_states}; i++) {{
total_energy += timeInState[i] * state_power[i];
}}
return total_energy;
""".format(energy_type = energy_type, num_states = len(pta.state))
self.public_functions.append(ClassFunction(class_name, energy_type, 'getEnergy', list(), get_energy_function))
def pre_transition_hook(self, transition):
return """
unsigned int now = uptime.get_us();
timeInState[lastState] += now - lastStateChange;
lastStateChange = now;
lastState = {};
""".format(self.pta.get_state_id(transition.destination))
def init_code(self):
return """
for (unsigned char i = 0; i < {num_states}; i++) {{
timeInState[i] = 0;
}}
""".format(num_states = len(self.pta.state))
class MultipassDriver:
"""Generate C++ header and no-op implementation for a multipass driver based on a DFA model."""
def __init__(self, name, pta, class_info, enum = dict(), accounting = AccountingMethod):
self.impl = ''
self.header = ''
self.name = name
self.pta = pta
self.class_info = class_info
self.enum = enum
includes = list()
private_functions = list()
public_functions = list()
private_variables = list()
public_variables = list()
public_functions.append(ClassFunction(self.name, '', self.name, list(), accounting.init_code()))
seen_transitions = set()
for transition in self.pta.transitions:
if transition.name in seen_transitions:
continue
seen_transitions.add(transition.name)
# XXX right now we only verify whether both functions have the
# same number of arguments. This breaks in many overloading cases.
function_info = self.class_info.function[transition.name]
for function_candidate in self.class_info.functions:
if function_candidate.name == transition.name and len(function_candidate.argument_types) == len(transition.arguments):
function_info = function_candidate
function_arguments = list()
for i in range(len(transition.arguments)):
function_arguments.append('{} {}'.format(function_info.argument_types[i], transition.arguments[i]))
function_definition = '{} {}({})'.format(function_info.return_type, transition.name, ', '.join(function_arguments))
function_head = '{} {}::{}({})'.format(function_info.return_type, self.name, transition.name, ', '.join(function_arguments))
function_body = accounting.pre_transition_hook(transition)
if function_info.return_type != 'void':
function_body += 'return 0;\n'
public_functions.append(ClassFunction(self.name, function_info.return_type, transition.name, function_arguments, function_body))
enums = list()
for enum_name in self.enum.keys():
enums.append('enum {} {{ {} }};'.format(enum_name, ', '.join(self.enum[enum_name])))
if accounting:
includes.extend(accounting.get_includes())
private_functions.extend(accounting.private_functions)
public_functions.extend(accounting.public_functions)
private_variables.extend(accounting.private_variables)
public_variables.extend(accounting.public_variables)
self.header = header_template.format(
name = self.name, name_lower = self.name.lower(),
includes = '\n'.join(includes),
private_variables = '\n'.join(private_variables),
public_variables = '\n'.join(public_variables),
public_functions = '\n'.join(map(lambda x: x.get_definition(), public_functions)),
private_functions = '',
enums = '\n'.join(enums))
self.impl = implementation_template.format(name = self.name, name_lower = self.name.lower(), functions = '\n\n'.join(map(lambda x: x.get_implementation(), public_functions)))
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