815 lines
30 KiB
Python
815 lines
30 KiB
Python
import string
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from english_words import get_english_words_set
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from ast_generator.utils import *
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from ast_generator.utils import filter_options, _choose_option
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from constants import *
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import keyword
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class AstGenerator:
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"""
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Generates an AST from a grammar based on given settings
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Originally the intention was to use the ISLa library to generate
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the AST, however I found that ISLa is like taking a buldozer to
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a sledgehammer's job, so I decided to write a procedural generator
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instead.
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The way we select elements is we take all the settings in their
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category and assign them a range on a number line. Then we
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pick a random number in that range and whichever category it
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falls into will be selected.
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"""
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### INITIALIZATION ###
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def __init__(self, settings: dict):
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"""
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This class is designed to get the settings from some wrapper class that
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better defines the precise constraints of the language being generated
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the necessary settings are in the .yaml file and #TODO this is not generalizable yet
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@param settings: settings for weights and probabilities and lengths
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"""
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self.settings = settings
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self.symbol_table = []
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global_scope = Scope(None, None)
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self.symbol_table.append(global_scope) # NOTE for debug
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self.current_scope = global_scope
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self._init_names()
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self.ast: ET.Element or None = None
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self.current_ast_element: ET.Element or None = None
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self.current_nesting_depth = 0
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self.current_control_flow_nesting_depth = 0
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self._init_numlines()
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def _init_numlines(self):
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# Numberlines - For computing probabilities
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self.int_op_options, self.int_op_cutoffs, self.int_op_numline = (
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get_numberlines('expression-weights', ['brackets', 'arithmetic', 'unary'], [[], [], ['not']],
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self.settings))
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self.int_unary = ['negation', 'noop']
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self.bool_op_options, self.bool_op_cutoffs, self.bool_op_numline = (
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get_numberlines('expression-weights', ['brackets', 'comparison', 'logical', 'unary'],
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excluded_values=[[], ['less-than-or-equal', 'greater-than-or-equal', 'less-than',
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'greater-than'], [], ['noop', 'negation']],
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settings=self.settings))
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self.bool_unary = ['not']
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self.float_op_options, self.float_op_cutoffs, self.float_op_numline = (
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get_numberlines('expression-weights', ['brackets', 'arithmetic', 'unary'], [[], [], ['not']],
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self.settings))
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self.float_unary = ['negation', 'noop']
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self.char_op_options, self.char_op_cutoffs, self.char_op_numline = (
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get_numberlines('expression-weights', ['brackets', 'comparison'],
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[[], ['less-than', 'greater-than', 'less-than-or-equal', 'greater-than-or-equal']],
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self.settings))
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self.comp_op_options, self.comp_op_cutoffs, self.comp_op_numline = (
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get_numberlines('expression-weights', ['brackets', 'comparison'], [[], []], self.settings))
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def _init_names(self):
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names = get_english_words_set(['web2'], alpha=True)
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possible_names = filter(lambda x: self.settings['properties']['id-length']['max'] <= len(x) <=
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self.settings['properties']['id-length']['max'] and not keyword.iskeyword(x),
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names)
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var_name_list = list(possible_names)
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var_name_len = len(var_name_list)
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self.variable_names = var_name_list[0:var_name_len // 2]
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self.routine_names = var_name_list[var_name_len // 2:var_name_len]
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### GENERATION ###
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def generate_ast(self):
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"""
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@brief generates an AST from a grammar
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"""
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self.generate_top_level_block()
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def generate_top_level_block(self):
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"""
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@brief creates the top-level block containing the whole program
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"""
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element = self.make_element(GAZ_BLOCK_TAG, [])
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self.ast = element
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for i in range(random.randint(0, self.settings['generation-options']['max-globals'])):
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self.generate_global()
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for i in range(self.settings['generation-options']['max-number-of-routines']):
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if random.random() < self.settings['block-termination-probability']:
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break
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self.generate_routine()
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self.generate_main()
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pass
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def generate_main(self):
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main_args = [ # TODO refactor these into constants
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(GAZ_NAME_KEY, "main"),
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(GAZ_RETURN_KEY, GAZ_INT_KEY),
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]
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parent = self.make_scoped_element(GAZ_PROCEDURE_TAG, main_args)
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self.generate_block(return_stmt=True, return_value="0", return_type=GAZ_INT_KEY, block_type=GAZ_PROCEDURE_TAG)
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self.exit_scoped_element(parent)
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def generate_block(self, tag=None, return_stmt=False, return_value=None, return_type=None, block_type=None,
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loop_var=None):
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# TODO this should be broken into many functions depending on the block requirements
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if tag is None:
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tag = []
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parent = self.current_ast_element
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self.push_scope()
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element = build_xml_element(tag, name=GAZ_BLOCK_TAG)
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self.current_ast_element.append(element)
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self.current_ast_element = element
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if block_type in [GAZ_PROCEDURE_TAG, GAZ_FUNCTION_TAG]:
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self.generate_statements()
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else:
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self.generate_statements(include='declaration')
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self.generate_statements(exclude='declaration')
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# Generate the loop condition increment if we are in a loop
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if block_type == GAZ_LOOP_TAG:
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self.generate_loop_condition_check(loop_var)
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self.generate_loop_condition_increment(loop_var)
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if return_stmt:
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self.generate_return(return_type=return_type, return_value=return_value)
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if self.settings['generation-options']['generate-dead-code']:
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self.generate_statements(exclude='declaration')
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self.pop_scope()
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self.current_ast_element = parent
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def generate_return(self, return_type=None, return_value=None):
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"""
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@brief generates a return statement
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@param return_type: the type to be returned (if None -> any)
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@param return_value: value to be returned (if None -> expr[return_type])
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"""
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if return_type is None or return_type == GAZ_VOID_TYPE:
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self.current_ast_element.append(self.make_element(GAZ_RETURN_TAG, []))
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else:
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# store the parent
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parent = self.current_ast_element
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# initialize element
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keys = [("type", return_type)]
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self.make_element(GAZ_RETURN_TAG, keys)
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# make either a literal or a random expression based on choice
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if return_value is None:
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self.generate_expression(return_type)
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else:
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self.current_ast_element.append(self.make_literal(return_type, return_value))
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# return to the parent
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self.current_ast_element = parent
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def generate_routine(self, routine_type=None):
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"""
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@brief generate a random routine
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@param return_type: the type to be returned (if None -> any (including void))
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"""
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if routine_type is None:
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routine_type = self.get_routine_type() # get a random type
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else:
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pass
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# initialize random variables
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args = self.generate_routine_args()
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name = self.get_name(routine_type)
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return_type = self.get_type(routine_type)
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# initialize the routine
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routine = Routine(name, routine_type, return_type, args)
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routine_args = [
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("name", routine.name),
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("return_type", routine.return_type),
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]
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# Generation
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parent = self.current_ast_element
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self.make_scoped_element(routine.type, routine_args)
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self.define_args(routine.arguments)
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self.generate_block(return_stmt=True, return_type=routine.return_type)
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self.exit_scoped_element(parent)
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def define_args(self, args):
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"""
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@brief Generate the argument tags in a routine
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@param args: a list of arguments
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"""
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for arg in args:
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self.current_ast_element.append(arg.xml)
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self.current_scope.append(arg.name, arg)
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def generate_statements(self, include=None, exclude=None):
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opts = ['declaration', 'routine_call', 'conditional', 'loop', 'assignment', 'out_stream', 'in_stream']
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# Number line
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number_line = 180 # TODO fix the numberline stuff to reflect the settings
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cutoffs = [10, 30, 50, 80, 100, 140, 180]
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options = {
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0: self.generate_declaration,
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1: self.generate_routine_call,
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2: self.generate_conditional,
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3: self.generate_loop,
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4: self.generate_assignment,
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5: self.generate_out_stream,
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6: self.generate_in_stream,
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}
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# Filter unwanted options
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filter_options(exclude, include, options, opts)
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# Generate the statements
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self._generate_from_options(cutoffs, number_line, options)
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def _generate_expression(self, expr_type: list[str], number_line,
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cutoffs, options, unary=None, comparison: bool = False):
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"""
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@brief Generate an expression
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@param expr_type: a list of types to be used
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@param number_line: number line for probability computation
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@param cutoffs: cutoffs to be used
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@param options: options to be used
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@param unary: a list of unary operators in options
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"""
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if unary is None:
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unary = []
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parent = self.current_ast_element
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self.current_nesting_depth += 1
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# Check the expression depth against settings
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if self.current_nesting_depth > self.settings['generation-options']['max-nesting-depth'] or random.random() < \
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self.settings['block-termination-probability']:
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self.generate_literal(random.choice(expr_type))
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self.current_nesting_depth -= 1
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return
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# Generate
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op = _choose_option(cutoffs, number_line, options)
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self._generate_expr(comparison, expr_type, op, unary)
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# Return to parent
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self.current_nesting_depth -= 1
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self.current_ast_element = parent
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def generate_declaration(self, mut=None): # TODO change this to a bool
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"""
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@brief Generate a declaration
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@param mut: the mutability of the variable ('const' or 'var')
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"""
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# Initialize the variable
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parent = self.current_ast_element
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decl_type = self.get_type(GAZ_VAR_TAG)
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decl_args = [
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("type", decl_type),
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]
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self.make_element(GAZ_DECLARATION_TAG, decl_args)
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# Generate the variable
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variable = self.generate_variable(decl_type, mut=mut)
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self.current_ast_element.append(variable.xml)
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self.current_scope.append(variable.name, variable) # make sure the variable is in scope
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# Generate the initialization of the variable
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self.generate_xhs(GAZ_RHS_TAG, decl_type)
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# Return to parent
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self.current_ast_element = parent
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def generate_binary(self, op, op_type):
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"""
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@brief Generate a binary operation
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@param op: the operator
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@param op_type: the type of the expression
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"""
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parent = self.current_ast_element
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# Check if the operator is valid
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if op == "":
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raise ValueError("op is empty!")
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args = [
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("op", op),
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("type", op_type),
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]
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self.make_element(GAZ_OPERATOR_TAG, args)
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# Gnereate lhs and rhs
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self.generate_xhs(GAZ_LHS_TAG, op_type)
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self.generate_xhs(GAZ_RHS_TAG, op_type)
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# Return to parent
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self.current_ast_element = parent
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def generate_bracket(self, op_type):
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"""
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@brief Generate a bracket operation
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@param op_type: the type of the expression
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"""
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parent = self.current_ast_element
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args = [("type", op_type)]
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self.make_element(GAZ_BRACKET_TAG, args)
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# Generate the expression in the brackets
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self.generate_xhs(GAZ_RHS_TAG, op_type)
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# Return to parent
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self.current_ast_element = parent
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def generate_xhs(self, handedness, op_type, is_zero=False):
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"""
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@brief generate a lhs or a rhs depending on handedness
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@param handedness: the handedness
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@param op_type: the type of the expression
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@param is_zero: if the expression is zero
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"""
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parent = self.current_ast_element
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self.make_element(handedness, [])
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self.generate_expression(op_type, is_zero=is_zero)
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self.current_ast_element = parent
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def generate_unary(self, op, op_type=ANY_TYPE):
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parent = self.current_ast_element
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args = [
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("op", op),
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("type", op_type),
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]
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element = build_xml_element(args, name=GAZ_UNARY_OPERATOR_TAG)
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self.current_ast_element.append(element)
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self.current_ast_element = element
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self.generate_xhs(GAZ_RHS_TAG, op_type)
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self.current_ast_element = parent
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def generate_routine_call(self):
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pass
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def generate_conditional(self):
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if self.current_control_flow_nesting_depth >= self.settings['generation-options']['max-nesting-depth']:
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return
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if self.current_control_flow_nesting_depth > 0 and random.random() < self.settings[
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'block-termination-probability']:
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return
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element = build_xml_element([], name=GAZ_IF_TAG)
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self.current_ast_element.append(element)
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parent = self.current_ast_element
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self.current_ast_element = element
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self.current_control_flow_nesting_depth += 1
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self.push_scope()
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self.generate_expression(GAZ_BOOL_KEY)
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self.generate_block(tag=[("type", GAZ_TRUE_BLOCK_TAG)])
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self.generate_block(tag=[("type", GAZ_FALSE_BLOCK_TAG)])
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self.pop_scope()
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self.current_ast_element = parent
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def generate_loop(self): # fixme generation of infinite loops happens too often...
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# FIXME make sure that loop conditions are evaluated at least once (assert true or make a config param)
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if self.current_control_flow_nesting_depth >= self.settings['generation-options']['max-nesting-depth']:
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return
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if self.current_control_flow_nesting_depth > 0 and random.random() < self.settings[
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'block-termination-probability']:
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return
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init_var = self.generate_zero_declaration()
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parent = self.current_ast_element
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element = build_xml_element([], name=GAZ_LOOP_TAG)
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self.current_ast_element.append(element)
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self.current_ast_element = element
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self.current_control_flow_nesting_depth += 1
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self.push_scope()
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self.generate_expression(GAZ_BOOL_KEY)
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self.generate_block(block_type=GAZ_LOOP_TAG,
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loop_var=init_var) # append a variable increment and prepend a break statement if var is > max loop iterations
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self.pop_scope()
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self.current_ast_element = parent
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def generate_zero_declaration(self):
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parent = self.current_ast_element
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element = build_xml_element([], name=GAZ_DECLARATION_TAG)
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self.current_ast_element.append(element)
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self.current_ast_element = element
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variable = self.generate_variable(GAZ_INT_KEY, 'var')
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self.current_ast_element.append(variable.xml)
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self.current_scope.append(variable.name, variable)
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self.generate_xhs(GAZ_RHS_TAG, variable.type, is_zero=True)
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self.current_ast_element = parent
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return variable
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def generate_assignment(self):
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possible_vars = self.current_scope.get_all_defined_mutable_vars()
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if len(possible_vars) == 0:
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raise ValueError("No possible variables to assign to!")
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# same structure as a declaration
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parent = self.current_ast_element
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element = build_xml_element([], name=GAZ_ASSIGNMENT_TAG)
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self.current_ast_element.append(element)
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self.current_ast_element = element
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variable = random.choice(possible_vars)
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self.current_ast_element.append(variable.xml)
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self.generate_xhs(GAZ_RHS_TAG, variable.type)
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self.current_ast_element = parent
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def generate_out_stream(self):
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self.generate_stream(GAZ_OUT_STREAM)
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def generate_in_stream(self):
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self.generate_stream(GAZ_IN_STREAM)
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def generate_stream(self, stream_type):
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parent = self.current_ast_element
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args = [
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("type", stream_type),
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]
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element = build_xml_element(args, name=GAZ_STREAM_TAG)
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self.current_ast_element.append(element)
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self.current_ast_element = element
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self.generate_expression(ANY_TYPE)
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self.current_ast_element = parent
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def generate_variable(self, var_type: str, mut=None):
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if mut is None:
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return Variable(self.get_name(GAZ_VAR_TAG), var_type, self.get_qualifier())
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else:
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return Variable(self.get_name(GAZ_VAR_TAG), var_type, mut)
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def generate_literal(self, var_type: str, value=None):
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if value is None:
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value = self.get_value(var_type)
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else:
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value = value
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args = [
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("type", var_type),
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("value", str(value)),
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]
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element = build_xml_element(args, name=GAZ_LIT_TAG)
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self.current_ast_element.append(element)
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def make_literal(self, type, value):
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args = [
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("type", type),
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("value", value),
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]
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element = build_xml_element(args, name=GAZ_LIT_TAG)
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return element
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def generate_global(self):
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current_scope = self.current_scope
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current_element = self.current_ast_element
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self.current_scope = self.current_scope.get_top_scope()
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self.current_ast_element = self.ast
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|
|
|
self.generate_declaration(mut='const')
|
|
|
|
self.current_scope = current_scope
|
|
self.current_ast_element = current_element
|
|
|
|
def generate_expression(self, expr_type: str, is_zero=False):
|
|
if is_zero:
|
|
self.generate_literal(expr_type, value=0)
|
|
return
|
|
elif expr_type == GAZ_INT_KEY or expr_type == GAZ_FLOAT_KEY:
|
|
self.generate_int_expr()
|
|
elif expr_type == GAZ_BOOL_KEY:
|
|
if random.random() < 0.5:
|
|
self.generate_bool_expr()
|
|
else:
|
|
self.generate_comp_expr()
|
|
elif expr_type == GAZ_CHAR_KEY:
|
|
self.generate_char_expr()
|
|
elif expr_type == ANY_TYPE: # TODO implement the choice of any type
|
|
self.generate_int_expr()
|
|
else:
|
|
raise NotImplementedError(f"Expression type {expr_type} not implemented")
|
|
|
|
def generate_routine_args(self):
|
|
number = random.randint(self.settings['properties']['number-of-arguments']['min'],
|
|
self.settings['properties']['number-of-arguments']['max'])
|
|
args = []
|
|
for i in range(number):
|
|
arg = self.generate_arg()
|
|
args.append(arg)
|
|
self.current_scope.append(arg.name, arg)
|
|
return args
|
|
|
|
def generate_arg(self):
|
|
return Argument(self.get_name(GAZ_VAR_TAG), self.get_type(GAZ_VAR_TAG))
|
|
|
|
def generate_int_expr(self):
|
|
self._generate_expression([GAZ_INT_KEY],
|
|
self.int_op_numline,
|
|
self.int_op_cutoffs,
|
|
self.int_op_options,
|
|
self.int_unary)
|
|
|
|
def generate_float_expr(self):
|
|
self._generate_expression([GAZ_FLOAT_KEY, GAZ_INT_KEY],
|
|
self.float_op_numline,
|
|
self.float_op_cutoffs,
|
|
self.float_op_options,
|
|
self.float_unary)
|
|
|
|
def generate_bool_expr(self):
|
|
self._generate_expression([GAZ_BOOL_KEY],
|
|
self.bool_op_numline,
|
|
self.bool_op_cutoffs,
|
|
self.bool_op_options,
|
|
self.bool_unary)
|
|
|
|
def generate_char_expr(self):
|
|
self._generate_expression([GAZ_CHAR_KEY],
|
|
self.char_op_numline,
|
|
self.char_op_cutoffs,
|
|
self.char_op_options)
|
|
|
|
def generate_comp_expr(self):
|
|
self._generate_expression([GAZ_BOOL_KEY],
|
|
self.comp_op_numline,
|
|
self.comp_op_cutoffs,
|
|
self.comp_op_options,
|
|
comparison=True)
|
|
|
|
def push_scope(self, xml_element: ET.Element = None):
|
|
scope = Scope(self.current_scope)
|
|
self.symbol_table.append(scope)
|
|
self.current_scope = scope
|
|
|
|
def pop_scope(self):
|
|
self.current_scope = self.current_scope.enclosing_scope
|
|
|
|
# TODO revamp the random value generations
|
|
def get_qualifier(self):
|
|
"""
|
|
@brief get a random qualifier from the list of possible qualifiers
|
|
|
|
@return a qualifier as a string
|
|
"""
|
|
number_line = (self.settings["misc-weights"]["type-qualifier-weights"]["const"] +
|
|
self.settings["misc-weights"]["type-qualifier-weights"]["var"] - 1)
|
|
|
|
res = random.randint(0, number_line)
|
|
if res in range(0, self.settings["misc-weights"]["type-qualifier-weights"]["const"]):
|
|
return 'const'
|
|
elif res in range(self.settings["misc-weights"]["type-qualifier-weights"]["const"],
|
|
self.settings["misc-weights"]["type-qualifier-weights"]["const"] +
|
|
self.settings["misc-weights"]["type-qualifier-weights"]["var"]):
|
|
return 'var'
|
|
else:
|
|
raise ValueError("Internal Error, please report the stack trace to me")
|
|
|
|
def get_routine_type(self):
|
|
cutoffs = []
|
|
values = []
|
|
ops = []
|
|
for key, value in self.settings["routine-weights"].items():
|
|
cutoffs.append(value + sum(cutoffs))
|
|
values.append(value)
|
|
ops.append(key)
|
|
|
|
res = random.randint(0, sum(values))
|
|
for i in range(len(cutoffs)):
|
|
if res < cutoffs[i]:
|
|
return ops[i] # TODO everything should be fast faied
|
|
|
|
def get_value(self, type):
|
|
if type == GAZ_INT_KEY:
|
|
if self.settings["properties"]["generate-max-int"]:
|
|
return random.randint(-2147483648, 2147483647)
|
|
else:
|
|
return random.randint(-1000, 1000)
|
|
elif type == GAZ_FLOAT_KEY:
|
|
return random.uniform(-1000, 1000)
|
|
elif type == GAZ_BOOL_KEY:
|
|
return random.choice([True, False])
|
|
elif type == GAZ_CHAR_KEY:
|
|
return "'" + random.choice(string.ascii_letters) + "'"
|
|
else:
|
|
raise TypeError("Unimplemented generator for type: " + type)
|
|
|
|
def get_name(self, name_type):
|
|
"""
|
|
@brief get a random name from the list of possible names and add it to the current scope
|
|
|
|
@param name_type:
|
|
@return:
|
|
"""
|
|
if not self.settings['properties']['use-english-words']:
|
|
length = random.randint(self.settings['properties']['id-length']['min'],
|
|
self.settings['properties']['id-length']['max'])
|
|
name = ''.join(random.choices(string.ascii_letters, k=length))
|
|
return name
|
|
else:
|
|
if name_type == GAZ_VAR_TAG:
|
|
choice = random.choice(self.variable_names)
|
|
self.variable_names.remove(choice)
|
|
return choice
|
|
else:
|
|
choice = random.choice(self.routine_names)
|
|
self.routine_names.remove(choice)
|
|
return choice
|
|
|
|
def get_type(self, tag): # TODO Add support for composite types
|
|
return 'int' # TODO Add support for all types
|
|
if tag in [GAZ_PROCEDURE_TAG, GAZ_FUNCTION_TAG, GAZ_VAR_TAG]:
|
|
cutoffs = []
|
|
values = []
|
|
types = []
|
|
for key, value in self.settings["type-weights"]["value-types"].items():
|
|
if key == GAZ_VOID_TYPE and tag != GAZ_PROCEDURE_TAG:
|
|
continue
|
|
cutoffs.append(value + sum(cutoffs))
|
|
values.append(value)
|
|
types.append(key)
|
|
|
|
res = random.randint(0, sum(values))
|
|
for i in range(len(cutoffs)):
|
|
if res < cutoffs[i]:
|
|
return types[i]
|
|
|
|
### LOOP HELPERS ###
|
|
|
|
def generate_loop_condition_check(self, loop_var: Variable):
|
|
"""
|
|
@brief generates the loop condition check
|
|
|
|
Ensures that the loop does not iterate more than max-loop-iterations times
|
|
|
|
@param loop_var:
|
|
@return:
|
|
"""
|
|
# loop var is always an int
|
|
assert loop_var.type == GAZ_INT_KEY
|
|
|
|
# create a conditional xml tag
|
|
if_stmt = build_xml_element([], name=GAZ_IF_TAG)
|
|
self.current_ast_element.append(if_stmt)
|
|
parent = self.current_ast_element
|
|
self.current_ast_element = if_stmt
|
|
|
|
# add the check 'if loop_var >= self.settings['generation_options']['max-loop-iterations']: break'
|
|
operation = build_xml_element([("op", ">=")], name=GAZ_OPERATOR_TAG)
|
|
rhs = self._loop_heloper(loop_var, operation)
|
|
rhs.append(
|
|
self.make_literal(GAZ_INT_KEY, "'" + str(self.settings['generation-options']['max-loop-iterations']) + "'"))
|
|
|
|
true_block = build_xml_element([], name=GAZ_BLOCK_TAG)
|
|
if_stmt.append(true_block)
|
|
self.current_ast_element = true_block
|
|
break_stmt = build_xml_element([], name=GAZ_BREAK_TAG)
|
|
true_block.append(break_stmt)
|
|
|
|
# return everything to normalcy
|
|
self.current_ast_element = parent
|
|
|
|
def _loop_heloper(self, loop_var, operation):
|
|
self.current_ast_element.append(operation)
|
|
self.current_ast_element = operation
|
|
lhs = build_xml_element([], name=GAZ_LHS_TAG)
|
|
operation.append(lhs)
|
|
var = build_xml_element([("name", loop_var.name), ("type", loop_var.type)], name=GAZ_VAR_TAG)
|
|
lhs.append(var)
|
|
rhs = build_xml_element([], name=GAZ_RHS_TAG)
|
|
operation.append(rhs)
|
|
return rhs
|
|
|
|
def generate_loop_condition_increment(self, loop_var):
|
|
assert loop_var.type == GAZ_INT_KEY
|
|
|
|
parent = self.current_ast_element
|
|
assignment = build_xml_element([], name=GAZ_ASSIGNMENT_TAG)
|
|
self.current_ast_element.append(assignment)
|
|
self.current_ast_element = assignment
|
|
|
|
# append the variable
|
|
self.current_ast_element.append(loop_var.xml)
|
|
|
|
# add the increment 'loop_var += 1'
|
|
assn_rhs = build_xml_element([], name=GAZ_RHS_TAG)
|
|
self.current_ast_element.append(assn_rhs)
|
|
self.current_ast_element = assn_rhs
|
|
|
|
operation = build_xml_element([("op", "+")], name=GAZ_OPERATOR_TAG)
|
|
rhs = self._loop_heloper(loop_var, operation)
|
|
rhs.append(self.make_literal(GAZ_INT_KEY, '1'))
|
|
|
|
# return everything to normalcy
|
|
self.current_ast_element = parent
|
|
|
|
### HELPER FUNCTIONS ###
|
|
def make_element(self, name: str, keys: list[tuple[str, any]]) -> ET.Element:
|
|
"""
|
|
@brief make an xml element for the ast
|
|
|
|
@effects modifies self.current_ast_element
|
|
|
|
@param name: the tag for the element
|
|
@param keys: a list of tuple containing keys for the element
|
|
"""
|
|
element = build_xml_element(keys, name=name)
|
|
if self.current_ast_element is not None:
|
|
self.current_ast_element.append(element)
|
|
self.current_ast_element = element
|
|
|
|
return element
|
|
|
|
def make_scoped_element(self, name, keys) -> ET.Element:
|
|
"""
|
|
@brief make an xml element for the ast with a scope
|
|
|
|
@param name: the tag for the element
|
|
@param keys: a list of tuple containing keys for the element
|
|
"""
|
|
parent = self.current_ast_element
|
|
self.push_scope()
|
|
self.make_element(name, keys)
|
|
return parent
|
|
|
|
def exit_scoped_element(self, parent):
|
|
"""
|
|
@brief leave the current element and return to parent
|
|
|
|
@param parent: the enclosing element to return to
|
|
"""
|
|
self.pop_scope()
|
|
self.current_ast_element = parent
|
|
|
|
def _generate_from_options(self, cutoffs, number_line, options):
|
|
while True:
|
|
if random.random() < self.settings['block-termination-probability']:
|
|
break
|
|
|
|
a = random.randint(0, number_line)
|
|
i = 0
|
|
for i in range(len(cutoffs) - 1):
|
|
if cutoffs[i] < a < cutoffs[i + 1]:
|
|
try:
|
|
options[i]()
|
|
except KeyError:
|
|
continue
|
|
except ValueError:
|
|
break
|
|
break
|
|
|
|
def _generate_expr(self, comparison, expr_type, op, unary):
|
|
if op in unary:
|
|
self.generate_unary(op, random.choice(expr_type))
|
|
elif op == GAZ_BRACKET_TAG:
|
|
self.generate_bracket(random.choice(expr_type))
|
|
elif comparison:
|
|
if op in ['equality', 'inequality']:
|
|
self.generate_binary(op, random.choice([GAZ_INT_KEY, GAZ_FLOAT_KEY, GAZ_CHAR_KEY]))
|
|
else:
|
|
self.generate_binary(op, random.choice([GAZ_INT_KEY, GAZ_FLOAT_KEY]))
|
|
else:
|
|
self.generate_binary(op, random.choice(expr_type))
|
|
|