things

.gitignore

@@ -2,6 +2,7 @@
 __pycache__/
 *.py[cod]
 *$py.class
+.mutmut-cache
 
 # C extensions
 *.so

README.md

@@ -16,7 +16,7 @@ Note: Feel free to modify this file according to the project's necessities.
 To install the required dependencies make sure `python3` points to a Python 3.10 or 3.11 installation and then run:
 
 ```shell
-python3 -m venv env
+python3.8 -m venv env
 source env/bin/activate
 pip install -r requirements.txt
 ```

archive.py

@@ -0,0 +1,67 @@
+from typing import Optional, Dict, Set
+
+from frozendict import frozendict
+
+import instrument
+import operators
+
+
+class Archive:
+    true_branches: Dict[int, any]
+    false_branches: Dict[int, any]
+    false_score: Dict[int, any]
+    true_score: Dict[int, any]
+    f_name: str
+
+    def __init__(self, f_name: str) -> None:
+        self.reset()
+        self.f_name = f_name
+
+    def reset(self):
+        self.true_branches = {}
+        self.false_branches = {}
+        self.true_score = {}
+        self.false_score = {}
+
+    def branches_covered(self) -> int:
+        return len(self.true_branches.keys()) + len(self.false_branches.keys())
+
+    def branches_str(self) -> str:
+        branch_ids = sorted([f"{branch:2d}T" for branch in self.true_branches.keys()] +
+                            [f"{branch:2d}F" for branch in self.false_branches.keys()])
+        return ' '.join([branch.strip() for branch in branch_ids])
+
+    def build_suite(self) -> Set[instrument.Params]:
+        return set(list(self.true_branches.values()) + list(self.false_branches.values()))
+
+    def consider_test(self, test_case: frozendict):
+        instrument.invoke(self.f_name, test_case)
+
+        range_start, range_end = instrument.n_of_branches[self.f_name]
+
+        for branch in range(range_start, range_end):
+            if (branch in operators.distances_true and
+                    operators.distances_true[branch] == 0 and branch not in self.true_branches):
+                self.true_branches[branch] = test_case
+            if (branch in operators.distances_false and
+                    operators.distances_false[branch] == 0 and branch not in self.false_branches):
+                self.false_branches[branch] = test_case
+
+    def satisfies_branch(self, test_case: frozendict) -> Optional[str]:
+        try:
+            instrument.invoke(self.f_name, test_case)
+        except AssertionError:
+            return None
+        range_start, range_end = instrument.n_of_branches[self.f_name]
+
+        for branch in range(range_start, range_end):
+            if (branch in operators.distances_true and
+                    operators.distances_true[branch] == 0 and
+                    branch not in self.true_branches):
+                return f"{branch}T"
+            if (branch in operators.distances_false and
+                    operators.distances_false[branch] == 0 and
+                    branch not in self.false_branches):
+                return f"{branch}F"
+
+        return None

fuzzer.py

@@ -4,9 +4,12 @@ from random import randrange, choice, random, sample
 from frozendict import frozendict
 
 import operators
+from archive import Archive
 from instrument import Arg, Params, invoke, call_statement, BranchTransformer, module_of
 
-Range = tuple[int, int]
+from typing import Tuple, Dict, List, Set
+
+Range = Tuple[int, int]
 
 INT_RANGE: Range = (-1000, 1000)
 STRING_LEN_RANGE: Range = (0, 10)
@@ -30,7 +33,7 @@ def random_str() -> str:
     return "".join([random_chr() for _ in range(length)])
 
 
-def max_cases(args: list[Arg]) -> int:
+def max_cases(args: List[Arg]) -> int:
     num = 1
     for _, arg_type in args:
         if arg_type == 'int':
@@ -73,8 +76,8 @@ def random_mutate(arg_type: str, arg_value: any) -> any:
         raise ValueError(f"Arg type '{arg_type}' not supported")
 
 
-def random_params(arguments: list[Arg]) -> Params:
-    test_input: dict[str, any] = {}
+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)
@@ -82,10 +85,10 @@ def random_params(arguments: list[Arg]) -> Params:
     return frozendict(test_input)
 
 
-pools: dict[tuple, set[tuple]] = {}
+pools: Dict[tuple, Set[tuple]] = {}
 
 
-def get_pool(arguments: list[Arg]) -> list[Params]:
+def get_pool(arguments: List[Arg]) -> List[Params]:
     arg_types = tuple([arg_type for _, arg_type in arguments])
     arg_names = [arg_name for arg_name, _ in arguments]
 
@@ -94,7 +97,7 @@ def get_pool(arguments: list[Arg]) -> list[Params]:
     if arg_types not in pools:
         new_pool = set()
         for _ in range(POOL_SIZE):
-            param_list: list[any] = [None] * len(arg_names)
+            param_list: List[any] = [None] * len(arg_names)
 
             params = random_params(arguments)
             for i, name in enumerate(arg_names):
@@ -107,16 +110,16 @@ def get_pool(arguments: list[Arg]) -> list[Params]:
     return [frozendict({arg_names[i]: p for i, p in enumerate(param)}) for param in pools[arg_types]]
 
 
-def mutate(test_case: Params, arguments: list[Arg]) -> Params:
+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}
+    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]:
+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}
+    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])
@@ -132,11 +135,18 @@ def crossover(chosen_test: Params, other_chosen_test: Params, arguments: list[Ar
     return t1, t2
 
 
-def generate_test_case(f_name: str, arguments: list[Arg]) -> Params:
-    pool: list[Params] = get_pool(arguments)
+def generate_test_case(f_name: str, arguments: List[Arg], archive: Archive) -> Params:
+    pool: List[Params] = get_pool(arguments)
 
     while True:
         test = sample(pool, 1)[0]
+        is_new = archive.satisfies_branch(test)
+
+        if is_new is None:
+            # print(f"Not new: {test}")
+            continue
+
+        print(f"New {is_new}!: {test}")
 
         try:
             invoke(f_name, test)
@@ -172,7 +182,7 @@ def get_test_case_source(f_name: str, test_case: Params, i: int, indent: int):
 {space}{single_indent}assert {call_statement(f_name_orig, test_case)} == {repr(output)}"""
 
 
-def get_test_import_stmt(names: list[str]):
+def get_test_import_stmt(names: List[str]):
     imports = ["from unittest import TestCase"]
 
     for orig_f_name in names:
@@ -182,7 +192,7 @@ def get_test_import_stmt(names: list[str]):
     return "\n".join(imports) + "\n"
 
 
-def get_test_class(orig_f_name: str, cases: set[Params]) -> str:
+def get_test_class(orig_f_name: str, cases: Set[Params]) -> str:
     f_name = BranchTransformer.to_instrumented_name(orig_f_name)
     return (f"class Test_{orig_f_name}(TestCase):\n" +
             "\n\n".join([get_test_case_source(f_name, case, i + 1, 1) for i, case in enumerate(cases)]) +

genetic.py

@@ -2,6 +2,7 @@ import argparse
 import os
 import random
 from functools import partial
+from typing import Tuple, List, Set
 
 import frozendict
 import tqdm
@@ -11,6 +12,7 @@ import fuzzer
 import instrument
 import operators
 from fuzzer import generate_test_case, get_test_class
+from archive import Archive
 
 INDMUPROB = 0.05
 MUPROB = 0.33
@@ -23,33 +25,6 @@ REPS = 10
 OUT_DIR = os.path.join(os.path.dirname(__file__), "tests")
 
 
-class Archive:
-    true_branches: dict[int, any]
-    false_branches: dict[int, any]
-    false_score: dict[int, any]
-    true_score: dict[int, any]
-
-    def __init__(self):
-        self.reset()
-
-    def reset(self):
-        self.true_branches = {}
-        self.false_branches = {}
-        self.true_score = {}
-        self.false_score = {}
-
-    def branches_covered(self) -> int:
-        return len(self.true_branches.keys()) + len(self.false_branches.keys())
-
-    def branches_str(self) -> str:
-        branch_ids = sorted([f"{branch:2d}T" for branch in self.true_branches.keys()] +
-                            [f"{branch:2d}F" for branch in self.false_branches.keys()])
-        return ' '.join([branch.strip() for branch in branch_ids])
-
-    def build_suite(self) -> set[instrument.Params]:
-        return set(list(self.true_branches.values()) + list(self.false_branches.values()))
-
-
 def normalize(x):
     return x / (1.0 + x)
 
@@ -59,16 +34,16 @@ def init_deap():
     creator.create("Individual", list, fitness=creator.FitnessMin)
 
 
-def generate(orig_name: str) -> set[instrument.Params]:
+def generate(orig_name: str) -> Set[instrument.Params]:
     f_name = instrument.BranchTransformer.to_instrumented_name(orig_name)
     args = instrument.functions[f_name]
 
     range_start, range_end = instrument.n_of_branches[f_name]
     total_branches = (range_end - range_start) * 2  # *2 because of True and False
-    archive = Archive()
+    archive = Archive(f_name)
 
     toolbox = base.Toolbox()
-    toolbox.register("attr_test_case", lambda: list(generate_test_case(f_name, args).items()))
+    toolbox.register("attr_test_case", lambda: list(generate_test_case(f_name, args, archive).items()))
     toolbox.register("individual", tools.initIterate, creator.Individual, lambda: toolbox.attr_test_case())
     toolbox.register("population", tools.initRepeat, list, toolbox.individual)
     toolbox.register("evaluate", partial(compute_fitness, f_name, archive))
@@ -102,20 +77,15 @@ def generate(orig_name: str) -> set[instrument.Params]:
 
         population, logbook = algorithms.eaSimple(population, toolbox, CXPROB, MUPROB, NGEN, verbose=False, stats=stats)
 
-        print("population:\n" + "\n".join([str(p) for p in population]) + "\n")
+        print("population:\n" +
+              "\n".join([f"{str(p)} {compute_fitness(f_name, archive, p)[0]}" for p in population]) +
+              "\n")
 
         for member in population:
-            m = frozendict.frozendict(member)
-            for branch in range(range_start, range_end):
-                if (branch in operators.distances_true and
-                        operators.distances_true[branch] == 0 and branch not in archive.true_branches):
-                    archive.true_branches[branch] = m
-                if (branch in operators.distances_false and
-                        operators.distances_false[branch] == 0 and branch not in archive.false_branches):
-                    archive.false_branches[branch] = m
+            archive.consider_test(frozendict.frozendict(member))
 
-        # for gen, record in enumerate(logbook):
-        #     print(f"Generation {gen}: min={record['min']} max={record['max']}")
+        for gen, record in enumerate(logbook):
+            print(f"Generation {gen}: min={record['min']} max={record['max']}")
 
         tot_covered = archive.branches_covered()
 
@@ -135,19 +105,10 @@ def generate(orig_name: str) -> set[instrument.Params]:
     return top_result
 
 
-def compute_fitness(f_name: str, archive: Archive, individual: list) -> tuple[float]:
+def compute_fitness(f_name: str, archive: Archive, individual: list) -> Tuple[float]:
     x = frozendict.frozendict(individual)
     range_start, range_end = instrument.n_of_branches[f_name]
 
-    # Reset any distance values from previous executions
-    operators.distances_true = {}
-    operators.distances_false = {}
-
-    # the archive_true_branches and archive_false_branches are reset after
-    # each generation. This is intentional as they are used to archive branches that
-    # have already been covered, and their presence increases the fitness value of
-    # test cases that would re-cover them
-
     # Run the function under test
     try:
         out = instrument.invoke(f_name, x)
@@ -156,29 +117,27 @@ def compute_fitness(f_name: str, archive: Archive, individual: list) -> tuple[fl
         return 100.0,
 
     fitness = 0.0
-    #branches = False
 
     # Sum up branch distances
     for branch in range(range_start, range_end):
         if branch in operators.distances_true:
             if branch not in archive.true_branches:
                 fitness += normalize(operators.distances_true[branch])
-                #branches = True
+            else:
+                fitness += 10
 
     for branch in range(range_start, range_end):
         if branch in operators.distances_false:
             if branch not in archive.false_branches:
                 fitness += normalize(operators.distances_false[branch])
-                #branches = True
-
-    #if not branches:
-    #    return 100.0,
+            else:
+                fitness += 10
 
     # print(f_name, x, "=", out, "fitness =", fitness)
     return fitness,
 
 
-def build_suite(filename: str, f_names: list[str]):
+def build_suite(filename: str, f_names: List[str]):
     suite = [(name, generate(name)) for name in f_names]
 
     with open(os.path.join(OUT_DIR, f"test_{filename}.py"), "w") as f:
@@ -187,7 +146,7 @@ def build_suite(filename: str, f_names: list[str]):
         f.write("\n\n".join([get_test_class(name, cases) for name, cases in suite]))
 
 
-def run_genetic(files: list[str], seed: int):
+def run_genetic(files: List[str], seed: int):
     instrument.load_benchmark(save_instrumented=False, files=files)
     random.seed(seed)  # init random seed
     init_deap()

instrument.py

@@ -2,12 +2,13 @@ import ast
 import os.path
 import sys
 from collections import defaultdict
-from typing import Optional
+from typing import Optional, Dict, DefaultDict, Tuple, List
 
 import astunparse
+import frozendict
 import tqdm
-from frozendict import frozendict
 
+import operators
 from operators import evaluate_condition
 
 ROOT_DIR: str = os.path.dirname(__file__)
@@ -17,7 +18,7 @@ SUFFIX: str = "_instrumented"
 
 
 class BranchTransformer(ast.NodeTransformer):
-    branches_range: dict[str, tuple[int, int]]
+    branches_range: Dict[str, Tuple[int, int]]
     branch_num: int
     instrumented_name: Optional[str]
     in_assert: bool
@@ -81,13 +82,13 @@ class BranchTransformer(ast.NodeTransformer):
 
 
 ArgType = str
-Arg = tuple[str, ArgType]
-Params = frozendict[str, any]
-SignatureDict = dict[str, list[Arg]]
+Arg = Tuple[str, ArgType]
+Params = frozendict.frozendict[str, any]
+SignatureDict = Dict[str, List[Arg]]
 
-n_of_branches: dict[str, tuple[int, int]] = {}
+n_of_branches: Dict[str, Tuple[int, int]] = {}
 functions: SignatureDict = {}
-module_of: dict[str, list[str]] = {}
+module_of: Dict[str, List[str]] = {}
 
 
 def instrument(source_path: str, target_path: str, save_instrumented=True):
@@ -116,10 +117,10 @@ def instrument(source_path: str, target_path: str, save_instrumented=True):
 
     # Figure out the top level function definitions
     assert isinstance(node, ast.Module)
-    top_level_f_ast: list[ast.FunctionDef] = [f for f in node.body if isinstance(f, ast.FunctionDef)]
+    top_level_f_ast: List[ast.FunctionDef] = [f for f in node.body if isinstance(f, ast.FunctionDef)]
 
     for f in top_level_f_ast:
-        arg_types: list[Arg] = []
+        arg_types: List[Arg] = []
 
         for arg in f.args.args:
             # fetch annotation type if found else fetch none
@@ -137,6 +138,9 @@ def invoke(f_name: str, f_args: Params) -> any:
 
     current_module = sys.modules[__name__]
 
+    operators.distances_true = {}
+    operators.distances_false = {}
+
     if f_name not in functions:
         raise ValueError(f"Function '{f_name}' not loaded")
 
@@ -155,7 +159,7 @@ def find_py_files(search_dir: str):
                 yield os.path.join(cwd, file)
 
 
-def load_benchmark(save_instrumented=True, files: list[str] = ()):
+def load_benchmark(save_instrumented=True, files: List[str] = ()):
     to_load = set([os.path.splitext(os.path.basename(file))[0] + ".py" for file in files])
     do_all = len(to_load) == 0
 
@@ -166,20 +170,20 @@ def load_benchmark(save_instrumented=True, files: list[str] = ()):
 
 
 def call_statement(f_name: str, f_args: Params) -> str:
-    arg_list: list[str] = []
+    arg_list: List[str] = []
     for k, v in f_args.items():
         arg_list.append(f"{k}={repr(v)}")  # quote strings
 
     return f"{f_name}({', '.join(arg_list)})"
 
 
-def get_benchmark() -> dict[str, list[str]]:
+def get_benchmark() -> Dict[str, List[str]]:
     """
     Returns a dictionary associated each source code file name loaded (without extension) with the list of
     (non-instrumented) function names defined within it
     """
 
-    names: defaultdict[str, list[str]] = defaultdict(list)
+    names: DefaultDict[str, List[str]] = defaultdict(list)
 
     for f in functions:
         names[module_of[f][-1]].append(BranchTransformer.to_original_name(f))

muttest.py

@@ -7,6 +7,8 @@ import sys
 import instrument
 from genetic import run_genetic
 
+from mutpy import commandline
+
 ROOT_DIR = os.path.dirname(__file__)
 IN_SOURCE_DIR = os.path.join(ROOT_DIR, "benchmark")
 IN_TEST_DIR = os.path.join(ROOT_DIR, "tests")
@@ -14,13 +16,20 @@ OUT_DIR = os.path.join(ROOT_DIR, "tests")
 
 
 def run_mutpy(test_path: str, source_path: str):
-    run_genetic([source_path], random.randint(0, 500))
+    # run_genetic([source_path], random.randint(0, 500))
 
-    stream = os.popen(f'mut.py --target \'{source_path}\' --unit-test \'{test_path}\' -m')
-    output = stream.read()
-    score = re.search('Mutation score \\[.*\\]: (\d+\.\d+)\%', output).group(1)
-    print(output, file=sys.stderr)
-    print(f"Score is: {score}")
+    argv = ['-t', source_path, '-u', test_path, '-m']
+    argv = ['-t', source_path, '-u', test_path, '-m']
+    cfg = commandline.build_parser().parse_args(args=argv)
+
+    mutation_controller = commandline.build_controller(cfg)
+    mutation_controller.run()
+
+    # stream = os.popen(f'mut.py --target \'{source_path}\' --unit-test \'{test_path}\' -m | tee log.txt')
+    # output = stream.read()
+    # score = re.search('Mutation score \\[.*\\]: (\d+\.\d+)\%', output).group(1)
+    # print(output, file=sys.stderr)
+    # print(f"Score is: {score}")
 
 
 def main():
@@ -41,6 +50,8 @@ def main():
             source_path = os.path.join(IN_SOURCE_DIR, f"{filename}.py")
             test_path = os.path.join(IN_TEST_DIR, f"test_{filename}.py")
             run_mutpy(test_path, source_path)
+            break
+        break
 
 
 if __name__ == "__main__":

operators.py

@@ -1,15 +1,14 @@
 import sys
 from dataclasses import dataclass
-from typing import Generic
-from typing import TypeVar, Callable
+from typing import Generic, Dict, List, TypeVar, Callable, Union, Tuple
 
 from nltk import edit_distance
 
-distances_true: dict[int, int] = {}
-distances_false: dict[int, int] = {}
+distances_true: Dict[int, int] = {}
+distances_false: Dict[int, int] = {}
 
-distances_true_all: dict[int, list[int]] = {}
-distances_false_all: dict[int, list[int]] = {}
+distances_true_all: Dict[int, List[int]] = {}
+distances_false_all: Dict[int, List[int]] = {}
 
 T = TypeVar('T')
 U = TypeVar('U')
@@ -33,7 +32,7 @@ class CmpOp(Generic[T]):
 
 
 # Operands for these must both be integers or strings of length 1
-int_str_ops: list[CmpOp[int | str]] = [
+int_str_ops: List[CmpOp[Union[int, str]]] = [
     CmpOp(operator='<',
           name='Lt',
           test=lambda lhs, rhs: lhs < rhs,
@@ -66,7 +65,7 @@ int_str_ops: list[CmpOp[int | str]] = [
           false_dist=lambda lhs, rhs: abs(lhs - rhs)),
 ]
 
-int_str_by_name: dict[str, CmpOp[int | str]] = {c.name: c for c in int_str_ops}
+int_str_by_name: Dict[str, CmpOp[Union[int, str]]] = {c.name: c for c in int_str_ops}
 
 
 def int_str_check(a: any, b: any) -> bool:
@@ -77,7 +76,7 @@ def int_str_check(a: any, b: any) -> bool:
     return len(a) == 1 and len(b) == 1
 
 
-def int_str_convert(x: int | str) -> int:
+def int_str_convert(x: Union[int, str]) -> int:
     if type(x) == int:
         return x
     if len(x) == 1:
@@ -87,7 +86,7 @@ def int_str_convert(x: int | str) -> int:
 
 
 # Operands for these must both be strings
-str_ops: list[CmpOp[str]] = [
+str_ops: List[CmpOp[str]] = [
     CmpOp(operator='==',
           name='Eq',
           test=lambda lhs, rhs: lhs == rhs,
@@ -100,14 +99,14 @@ str_ops: list[CmpOp[str]] = [
           false_dist=lambda lhs, rhs: edit_distance(lhs, rhs)),
 ]
 
-str_by_name: dict[str, CmpOp[int | str]] = {c.name: c for c in str_ops}
+str_by_name: Dict[str, CmpOp[Union[int, str]]] = {c.name: c for c in str_ops}
 
 
 def str_check(a: any, b: any) -> bool:
     return type(a) == str and type(b) == str
 
 
-def compute_distances(name: str, lhs: any, rhs: any) -> tuple[int, int, bool]:
+def compute_distances(name: str, lhs: any, rhs: any) -> Tuple[int, int, bool]:
     if int_str_check(lhs, rhs):
         lhs_int = int_str_convert(lhs)
         rhs_int = int_str_convert(rhs)
@@ -128,7 +127,7 @@ def compute_distances(name: str, lhs: any, rhs: any) -> tuple[int, int, bool]:
     raise ValueError(f"'{lhs}' and '{rhs}' are not suitable for both 'int_str' and 'str' operators")
 
 
-def update_map(the_map: dict[int, int], condition_num: int, distance: int):
+def update_map(the_map: Dict[int, int], condition_num: int, distance: int):
     if condition_num in the_map:
         the_map[condition_num] = min(the_map[condition_num], distance)
     else:

setup.cfg

@@ -0,0 +1,5 @@
+[mutmut]
+paths_to_mutate=benchmark/anagram_check.py
+backup=False
+runner=python -m unittest
+tests_dir=tests/

tests/test_anagram_check.py

@@ -1,19 +1,22 @@
 from unittest import TestCase
 from benchmark.anagram_check import anagram_check
-
+import inspect
 
 class Test_anagram_check(TestCase):
-    #  distances_true = {1: [0], 2: [1], 3: [0]}
-    #  distances_false = {1: [1], 2: [0], 3: [1]}
-    def test_anagram_check_1(self):
-        assert anagram_check(s1='Z', s2='') == False
-
     #  distances_true = {1: [0], 2: [0]}
     #  distances_false = {1: [1], 2: [1]}
-    def test_anagram_check_2(self):
-        assert anagram_check(s1='w', s2='t') == False
+    def test_anagram_check_1(self):
+        print(f"aaaaa {inspect.getsource(anagram_check)}")
+        self.assertTrue(anagram_check(s1='e', s2='4') == False)
 
     #  distances_true = {1: [1], 3: [0]}
     #  distances_false = {1: [0], 3: [1]}
+    def test_anagram_check_2(self):
+        print(f"aaaaa {inspect.getsource(anagram_check)}")
+        self.assertTrue(anagram_check(s1='|:', s2=',=U') == False)
+
+    #  distances_true = {1: [1], 3: [1], 4: [0]}
+    #  distances_false = {1: [0], 3: [0], 4: [1]}
     def test_anagram_check_3(self):
-        assert anagram_check(s1='', s2='f') == False
+        print(f"aaaaa {inspect.getsource(anagram_check)}")
+        self.assertTrue(anagram_check(s1='', s2='') == True)

tests/test_caesar_cipher.py

@@ -4,14 +4,14 @@ from benchmark.caesar_cipher import decrypt
 
 
 class Test_encrypt(TestCase):
-    #  distances_true = {}
-    #  distances_false = {}
+    #  distances_true = {1: [16, 0, 17, 0, 0, 41, 31]}
+    #  distances_false = {1: [0, 42, 0, 13, 52, 0, 0]}
     def test_encrypt_1(self):
-        assert encrypt(strng='', key=45) == ''
+        assert encrypt(strng=';t:W~",', key=52) == 'oIn,SV`'
 
 
 class Test_decrypt(TestCase):
-    #  distances_true = {2: [0, 211, 211, 0, 0, 196, 15, 221, 189]}
-    #  distances_false = {2: [13, 0, 0, 9, 24, 0, 0, 0, 0]}
+    #  distances_true = {2: [215, 0, 6, 0, 25, 0, 0, 223]}
+    #  distances_false = {2: [0, 6, 0, 18, 0, 19, 27, 0]}
     def test_decrypt_1(self):
-        assert decrypt(strng=']<<aR-xF&', key=74) == 'ròòvgã.üÜ'
+        assert decrypt(strng="'KV?i>6/", key=49) == 'öy%m8ldþ'