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kse-02/fuzzer.py

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import os
from random import randrange, choice, random, sample
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from frozendict import frozendict
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from instrument import Arg, Params, invoke, call_statement, BranchTransformer, module_of
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Range = tuple[int, int]
INT_RANGE: Range = (-1000, 1000)
STRING_LEN_RANGE: Range = (0, 10)
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STRING_CHAR_RANGE: Range = (32, 127)
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POOL_SIZE: int = 1000
OUT_DIR = os.path.join(os.path.dirname(__file__), "tests")
def random_int() -> int:
return randrange(INT_RANGE[0], INT_RANGE[1])
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def random_chr() -> str:
chr_from, chr_to = STRING_CHAR_RANGE
return chr(randrange(chr_from, chr_to))
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def random_str() -> str:
length = randrange(STRING_LEN_RANGE[0], STRING_LEN_RANGE[1])
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return "".join([random_chr() for _ in range(length)])
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def max_cases(args: list[Arg]) -> int:
num = 1
for _, arg_type in args:
if arg_type == 'int':
num *= (INT_RANGE[1] - INT_RANGE[0])
elif arg_type == 'str':
len_from, len_to = STRING_LEN_RANGE
chr_from, chr_to = STRING_CHAR_RANGE
num *= sum([(chr_to - chr_from) * length * length for length in range(len_from, len_to)])
else:
raise ValueError(f"Arg type '{arg_type}' not supported")
return num
def random_arg(arg_type: str) -> any:
if arg_type == 'str':
return random_str()
elif arg_type == 'int':
return random_int()
else:
raise ValueError(f"Arg type '{arg_type}' not supported")
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def random_mutate(arg_type: str, arg_value: any) -> any:
if arg_type == 'str':
if len(arg_value) == 0:
return arg_value
prob = 1.0 / len(arg_value)
for pos in range(len(arg_value)):
if random() < prob:
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arg_value = list(arg_value)
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arg_value[pos] = random_chr()
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arg_value = "".join(arg_value)
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return arg_value
elif arg_type == 'int':
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delta = randrange(-10, 10)
return arg_value + delta
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else:
raise ValueError(f"Arg type '{arg_type}' not supported")
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def random_params(arguments: list[Arg]) -> Params:
test_input: dict[str, any] = {}
for arg_name, arg_type in arguments:
test_input[arg_name] = random_arg(arg_type)
return frozendict(test_input)
pools: dict[tuple, set[tuple]] = {}
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def get_pool(arguments: list[Arg]) -> list[Params]:
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arg_types = tuple([arg_type for _, arg_type in arguments])
arg_names = [arg_name for arg_name, _ in arguments]
# Generate pool if not generated already
# The pool only remembers the order of parameters and not their names
if arg_types not in pools:
new_pool = set()
for _ in range(POOL_SIZE):
param_list: list[any] = [None] * len(arg_names)
params = random_params(arguments)
for i, name in enumerate(arg_names):
param_list[i] = params[name]
new_pool.add(tuple(param_list))
pools[arg_types] = new_pool
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return [frozendict({arg_names[i]: p for i, p in enumerate(param)}) for param in pools[arg_types]]
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def mutate(test_case: Params, arguments: list[Arg]) -> Params:
arg_name = choice(list(test_case.keys())) # choose name to mutate
types: dict[str, str] = {arg_name: arg_type for arg_name, arg_type in arguments}
return test_case.set(arg_name, random_mutate(types[arg_name], test_case[arg_name]))
def crossover(chosen_test: Params, other_chosen_test: Params, arguments: list[Arg]) -> tuple[Params, Params]:
# Select a property at random and swap properties
arg_name = choice(list(chosen_test.keys()))
types: dict[str, str] = {arg_name: arg_type for arg_name, arg_type in arguments}
if types[arg_name] == 'str':
# Crossover for strings intermingles the strings of the two chosen tests
s1, s2 = str_crossover(chosen_test[arg_name], other_chosen_test[arg_name])
t1 = chosen_test.set(arg_name, s1)
t2 = other_chosen_test.set(arg_name, s2)
else: # types[arg_name] == 'int'
# Crossover for integers swaps the values from the two tests
i1, i2 = chosen_test[arg_name], other_chosen_test[arg_name]
t1 = chosen_test.set(arg_name, i1)
t2 = other_chosen_test.set(arg_name, i2)
return t1, t2
def generate_test_case(f_name: str, arguments: list[Arg]) -> Params:
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pool: list[Params] = get_pool(arguments)
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while True:
test = sample(pool, 1)[0]
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try:
invoke(f_name, test)
return test # return only test cases that satisfy assertions
except AssertionError:
pass
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def str_crossover(parent1: str, parent2: str):
if len(parent1) > 1 and len(parent2) > 1:
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pos = randrange(1, len(parent1))
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offspring1 = parent1[:pos] + parent2[pos:]
offspring2 = parent2[:pos] + parent1[pos:]
return offspring1, offspring2
return parent1, parent2
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def get_test_case_source(f_name: str, test_case: Params, i: int, indent: int):
f_name_orig = BranchTransformer.to_original_name(f_name)
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single_indent = " " * 4
space = single_indent * indent
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output = invoke(f_name, test_case)
return f"""{space}def test_{f_name_orig}_{i}(self):
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{space}{single_indent}assert {call_statement(f_name_orig, test_case)} == {repr(output)}"""
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def get_test_class(f_name: str, cases: set[Params]) -> str:
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f_name_orig = BranchTransformer.to_original_name(f_name)
test_class = (f"from unittest import TestCase\n\nfrom {module_of[f_name]} import {f_name_orig}\n\n\n"
f"class Test_{f_name_orig}(TestCase):\n")
test_class += "\n\n".join([get_test_case_source(f_name, case, i + 1, 1) for i, case in enumerate(cases)])
return test_class