algorithm edited but nothing better

add(generators): base for kruskal maze generators

Makefile

@@ -11,7 +11,7 @@ clean:
 	rm -rf __pycache__ .mypy_cache .venv
 
 lint:
-	uv run flake8 .
+	uv run flake8 . --exclude=.venv
 	uv run mypy . --warn-return-any --warn-unused-ignores --ignore-missing-imports --disallow-untyped-defs --check-untyped-defs
 
 lint-strict:
@@ -19,4 +19,4 @@ lint-strict:
 	uv run mypy . --strict
 
 run_test:
-	PYTHONPATH=src uv run python3 test/test_parsing.py
+	uv run pytest

README.md

@@ -0,0 +1,3 @@
+The Randomized Kruskal's Algorithm
+
+The Randomized Prim's Algorithm

a_maze_ing.py

@@ -1,5 +1,23 @@
+import os
+from numpy import ma
+from src.amaz_lib import MazeGenerator, Kruskal, AStar
+from src.amaz_lib import Maze
+
+
 def main() -> None:
-    print("A-Maze-ing !!!")
+    # try:
+    maze = Maze(maze=None)
+    generator = Kruskal()
+    for alg in generator.generator(20, 20):
+        maze.set_maze(alg)
+        # os.system("clear")
+        maze.ascii_print()
+    # solver = AStar((1, 1), (14, 18))
+    # print(solver.solve(maze))
+
+
+# except Exception as err:
+# print(err)
 
 
 if __name__ == "__main__":

output_validator.py

@@ -0,0 +1,25 @@
+# This script does not check for errors or malformed files.
+# It only validates that neighbooring cells sharing a wall have
+#  both the correct encoding.
+# Usage: python3 output_validator.py output_maze.txt
+
+import sys
+
+if len(sys.argv) != 2:
+    print(f"Usage: python3 {sys.argv[0]} <output_file>")
+    sys.exit(1)
+
+g = []
+for line in open(sys.argv[1]):
+    if line.strip() == '':
+        break
+    g.append([int(c, 16) for c in line.strip(' \t\n\r')])
+
+for r in range(len(g)):
+    for c in range(len(g[0])):
+        v = g[r][c]
+        if not all([(r < 1 or v & 1 == (g[r-1][c] >> 2) & 1),
+                    (c >= len(g[0])-1 or (v >> 1) & 1 == (g[r][c+1] >> 3) & 1),
+                    (r >= len(g)-1 or (v >> 2) & 1 == g[r+1][c] & 1),
+                    (c < 1 or (v >> 3) & 1 == (g[r][c-1] >> 1) & 1)]):
+            print(f'Wrong encoding for ({c},{r})')

pyproject.toml

@@ -7,7 +7,6 @@ requires-python = ">=3.10"
 dependencies = [
     "numpy>=2.2.6",
     "pydantic>=2.12.5",
-    "pytest>=9.0.2",
 ]
 
 
@@ -15,12 +14,12 @@ dependencies = [
 dev = [
     "mypy>=1.19.1",
     "flake8>=7.3.0",
+    "pytest>=9.0.2",
 ]
 
 
 [tool.mypy]
 python_version = "3.10"
-exclude = [
+
-  ".venv",
+[tool.pytest.ini_options]
-  "venv",
+pythonpath = ["src"]
-]

src/AMazeIng.py

@@ -0,0 +1,46 @@
+from dataclasses import field
+from os import eventfd_read
+from typing import Generator
+import numpy
+from typing_extensions import Self
+from pydantic import AfterValidator, BaseModel, Field, model_validator
+
+from amaz_lib import Maze, MazeGenerator, MazeSolver
+from amaz_lib.Cell import Cell
+
+
+class AMazeIng(BaseModel):
+    width: int = Field(ge=3)
+    height: int = Field(ge=3)
+    entry: tuple[int, int]
+    exit: tuple[int, int]
+    output_file: str = Field(min_length=3)
+    perfect: bool = Field(default=True)
+    maze: Maze = Field(default=Maze(maze=numpy.array([])))
+    generator: MazeGenerator
+    solver: MazeSolver
+
+    @model_validator(mode="after")
+    def check_entry_exit(self) -> Self:
+        if self.entry[0] >= self.width or self.entry[1] >= self.height:
+            raise ValueError("Entry coordinates exceed the maze size")
+        if self.exit[0] >= self.width or self.exit[1] >= self.height:
+            raise ValueError("Exit coordinates exceed the maze size")
+        return self
+
+    def generate(self) -> Generator[Maze, None, None]:
+        for array in self.generator.generator(self.height, self.width):
+            self.maze.set_maze(array)
+            yield self.maze
+
+    def solve_path(self) -> str:
+        return self.solver.solve(self.maze)
+
+    def __str__(self) -> str:
+        res = self.maze.__str__()
+        res += "\n"
+        res += f"{self.entry[0]},{self.entry[1]}\n"
+        res += f"{self.exit[0]},{self.exit[1]}\n"
+        res += self.solve_path()
+        res += "\n"
+        return res

src/amaz_lib/Cell.py

@@ -5,11 +5,17 @@ class Cell(BaseModel):
     value: int = Field(ge=0, le=15)
 
     def __str__(self) -> str:
-        return hex(self.value)
+        return hex(self.value).removeprefix("0x").upper()
+
+    def set_value(self, value: int) -> None:
+        self.value = value
+
+    def get_value(self) -> int:
+        return self.value
 
     def set_north(self, is_wall: bool) -> None:
-        if (is_wall and self.value | 14 == 15) or (
+        if (not is_wall and self.value | 14 == 15) or (
-            not is_wall and self.value | 14 != 15
+            is_wall and self.value | 14 != 15
         ):
             self.value = self.value ^ (1)
 
@@ -17,8 +23,8 @@ class Cell(BaseModel):
         return self.value & 1 == 1
 
     def set_est(self, is_wall: bool) -> None:
-        if (is_wall and self.value | 13 == 15) or (
+        if (not is_wall and self.value | 13 == 15) or (
-            not is_wall and self.value | 13 != 15
+            is_wall and self.value | 13 != 15
         ):
             self.value = self.value ^ (2)
 
@@ -26,8 +32,8 @@ class Cell(BaseModel):
         return self.value & 2 == 2
 
     def set_south(self, is_wall: bool) -> None:
-        if (is_wall and self.value | 11 == 15) or (
+        if (not is_wall and self.value | 11 == 15) or (
-            not is_wall and self.value | 11 != 15
+            is_wall and self.value | 11 != 15
         ):
             self.value = self.value ^ (4)
 
@@ -35,25 +41,10 @@ class Cell(BaseModel):
         return self.value & 4 == 4
 
     def set_west(self, is_wall: bool) -> None:
-        if (is_wall and self.value | 8 == 15) or (
+        if (not is_wall and self.value | 7 == 15) or (
-            not is_wall and self.value | 8 != 15
+            is_wall and self.value | 7 != 15
         ):
             self.value = self.value ^ (8)
 
     def get_west(self) -> bool:
         return self.value & 8 == 8
-
-
-def main() -> None:
-    c = Cell(value=1)
-    print(c.get_north())
-    c.set_north(True)
-    print(c.get_north())
-    c.set_north(True)
-    print(c.get_north())
-    c.set_north(False)
-    print(c.get_north())
-
-
-if __name__ == "__main__":
-    main()

src/amaz_lib/Maze.py

@@ -0,0 +1,48 @@
+from dataclasses import dataclass
+
+import numpy
+from .Cell import Cell
+from .MazeGenerator import MazeGenerator
+
+
+@dataclass
+class Maze:
+    maze: numpy.ndarray
+
+    def get_maze(self) -> numpy.ndarray | None:
+        return self.maze
+
+    def set_maze(self, new_maze: numpy.ndarray) -> None:
+        self.maze = new_maze
+
+    def __str__(self) -> str:
+        if self.maze is None:
+            return "None"
+        res = ""
+        for line in self.maze:
+            for cell in line:
+                res += cell.__str__()
+            res += "\n"
+        return res
+
+    def ascii_print(self) -> None:
+        for cell in self.maze[0]:
+            print("_", end="")
+            if cell.get_north():
+                print("__", end="")
+            else:
+                print("  ", end="")
+        print("_")
+        for line in self.maze:
+            for cell in line:
+                if cell is line[0] and cell.get_west():
+                    print("|", end="")
+                if cell.get_south() is True:
+                    print("__", end="")
+                else:
+                    print("  ", end="")
+                if cell.get_est() is True:
+                    print("|", end="")
+                else:
+                    print("_", end="")
+            print()

src/amaz_lib/MazeGenerator.py

@@ -0,0 +1,93 @@
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from typing import Generator, Set
+import numpy as np
+from .Cell import Cell
+import math
+
+
+class MazeGenerator(ABC):
+    @abstractmethod
+    def generator(
+        self, height: int, width: int
+    ) -> Generator[np.ndarray, None, np.ndarray]: ...
+
+
+class Kruskal(MazeGenerator):
+    class Set:
+        def __init__(self, cells: list[int]) -> None:
+            self.cells: list[int] = cells
+
+    @staticmethod
+    def walls_to_maze(
+        walls: np.ndarray, height: int, width: int
+    ) -> np.ndarray:
+        maze: np.ndarray = np.array(
+            [[Cell(value=0) for _ in range(width)] for _ in range(height)]
+        )
+        for wall in walls:
+            x, y = wall
+            match y - x:
+                case 1:
+                    maze[math.trunc((x / width))][x % width].set_est(True)
+                    maze[math.trunc((y / width))][y % width].set_west(True)
+                case width:
+                    maze[math.trunc((x / width))][x % width].set_south(True)
+                    maze[math.trunc((y / width))][y % width].set_north(True)
+        for x in range(height):
+            for y in range(width):
+                if x == 0:
+                    maze[x][y].set_north(True)
+                if x == height - 1:
+                    maze[x][y].set_south(True)
+                if y == 0:
+                    maze[x][y].set_west(True)
+                if y == width - 1:
+                    maze[x][y].set_est(True)
+        return maze
+
+    @staticmethod
+    def is_in_same_set(sets: np.ndarray, wall: tuple[int, int]) -> bool:
+        a, b = wall
+        for set in sets:
+            if a in set.cells and b in set.cells:
+                return True
+            elif a in set.cells or b in set.cells:
+                return False
+        return False
+
+    @staticmethod
+    def merge_sets(sets: np.ndarray, wall: tuple[int, int]) -> None:
+        a, b = wall
+        base_set = None
+        for i in range(len(sets)):
+            if base_set is None and (a in sets[i].cells or b in sets[i].cells):
+                base_set = sets[i]
+            elif base_set and (a in sets[i].cells or b in sets[i].cells):
+                base_set.cells += sets[i].cells
+                np.delete(sets, i)
+                return
+        raise Exception("two sets not found")
+
+    def generator(
+        self, height: int, width: int
+    ) -> Generator[np.ndarray, None, np.ndarray]:
+        sets = np.array([self.Set([i]) for i in range(height * width)])
+        walls = []
+        for h in range(height):
+            for w in range(width - 1):
+                walls += [(w + (width * h), w + (width * h) + 1)]
+        for h in range(height - 1):
+            for w in range(width):
+                walls += [(w + (width * h), w + (width * (h + 1)))]
+        print(walls)
+        np.random.shuffle(walls)
+
+        yield self.walls_to_maze(walls, height, width)
+        for wall in walls:
+            if not self.is_in_same_set(sets, wall):
+                self.merge_sets(sets, wall)
+                walls.remove(wall)
+                yield self.walls_to_maze(walls, height, width)
+        print(f"nb sets: {len(sets)}")
+        return self.walls_to_maze(walls, height, width)

src/amaz_lib/MazeSolver.py

@@ -0,0 +1,134 @@
+from abc import ABC, abstractmethod
+from .Maze import Maze
+import numpy as np
+
+
+class MazeSolver(ABC):
+    def __init__(self, start: tuple[int, int], end: tuple[int, int]) -> None:
+        self.start = (start[0] - 1, start[1] - 1)
+        self.end = (end[0] - 1, end[1] - 1)
+
+    @abstractmethod
+    def solve(self, maze: Maze) -> str: ...
+
+
+class AStar(MazeSolver):
+
+    def __init__(self, start: tuple[int, int], end: tuple[int, int]) -> None:
+        super().__init__(start, end)
+
+    def f(self, n):
+        def g(n: tuple[int, int]) -> int:
+            res = 0
+            if n[0] < self.start[0]:
+                res += self.start[0] - n[0]
+            else:
+                res += n[0] - self.start[0]
+            if n[1] < self.start[1]:
+                res += self.start[1] - n[1]
+            else:
+                res += n[1] - self.start[1]
+            return res
+
+        def h(n: tuple[int, int]) -> int:
+            res = 0
+            if n[0] < self.end[0]:
+                res += self.end[0] - n[0]
+            else:
+                res += n[0] - self.end[0]
+            if n[1] < self.end[1]:
+                res += self.end[1] - n[1]
+            else:
+                res += n[1] - self.end[1]
+            return res
+
+        try:
+            return g(n) + h(n)
+        except Exception:
+            return 1000
+
+    def best_path(
+        self, maze: np.ndarray, actual: tuple[int, int]
+    ) -> dict[str, int | None]:
+        print(actual)
+        path = {
+            "N": (
+                self.f((actual[0], actual[1] - 1))
+                if not maze[actual[0]][actual[1]].get_north() and actual[1] > 0
+                else None
+            ),
+            "E": (
+                self.f((actual[0] + 1, actual[1]))
+                if not maze[actual[0]][actual[1]].get_est()
+                and actual[0] < len(maze) - 1
+                else None
+            ),
+            "S": (
+                self.f((actual[0], actual[1] + 1))
+                if not maze[actual[0]][actual[1]].get_south()
+                and actual[1] < len(maze[0]) - 1
+                else None
+            ),
+            "W": (
+                self.f((actual[0] - 1, actual[1]))
+                if not maze[actual[0]][actual[1]].get_west() and actual[0] > 0
+                else None
+            ),
+        }
+        return {
+            k: v for k, v in sorted(path.items(), key=lambda item: item[0])
+        }
+
+    def get_opposit(self, dir: str) -> str:
+        match dir:
+            case "N":
+                return "S"
+            case "E":
+                return "W"
+            case "S":
+                return "N"
+            case "W":
+                return "E"
+            case _:
+                return ""
+
+    def get_next_pos(
+        self, dir: str, actual: tuple[int, int]
+    ) -> tuple[int, int]:
+        match dir:
+            case "N":
+                return (actual[0], actual[1] - 1)
+            case "E":
+                return (actual[0] + 1, actual[1])
+            case "S":
+                return (actual[0], actual[1] + 1)
+            case "W":
+                return (actual[0] - 1, actual[1])
+            case _:
+                return actual
+
+    def get_path(
+        self, actual: tuple[int, int], maze: np.ndarray, pre: str | None
+    ) -> str | None:
+        if actual == self.end:
+            return ""
+        paths = self.best_path(maze, actual)
+        for path in paths:
+            if paths[path] is None:
+                continue
+            if path != pre:
+                temp = self.get_path(
+                    self.get_next_pos(path, actual),
+                    maze,
+                    self.get_opposit(path),
+                )
+                if not temp is None:
+                    return path + temp
+        return None
+
+    def solve(self, maze: Maze) -> str:
+        print(maze)
+        res = self.get_path(self.start, maze.get_maze(), None)
+        if res is None:
+            raise Exception("Path not found")
+        return res

src/amaz_lib/__init__.py

@@ -0,0 +1,8 @@
+from .Cell import Cell
+from .Maze import Maze
+from .MazeGenerator import MazeGenerator, Kruskal
+from .MazeSolver import MazeSolver, AStar
+
+__version__ = "1.0.0"
+__author__ = "us"
+__all__ = ["Cell", "Maze", "MazeGenerator", "MazeSolver", "AStar", "Kruskal"]

src/parsing/Parsing.py

@@ -1,18 +1,97 @@
 class DataMaze:
-    def __init__(self) -> None:
-        pass
 
     @staticmethod
-    def get_data(name_file: str) -> str:
+    def get_file_data(name_file: str) -> str:
-        data = ""
-        try:
         with open(name_file, "r") as file:
             data = file.read()
-        except FileNotFoundError:
+        if data == "":
-            print("The file do not exist")
+            raise ValueError("The file is empty")
-        finally:
         return data
 
     @staticmethod
-    def transform_data(data: str):
+    def transform_data(data: str) -> dict:
-        pass
+        tmp = data.split("\n")
+        tmp2 = [
+            value.split("=", 1) for value in tmp
+        ]
+        data_t = {
+            value[0]: value[1] for value in tmp2
+        }
+        return data_t
+
+    @staticmethod
+    def verif_key_data(data: dict) -> None:
+        key_test = {
+            "WIDTH", "HEIGHT", "ENTRY", "EXIT", "OUTPUT_FILE", "PERFECT"
+        }
+        set_key = {
+            key for key in data.keys()
+        }
+        if len(set_key) != len(key_test):
+            raise KeyError("Missing some data the len do not correspond")
+        res_key = {key for key in set_key if key not in key_test}
+        if len(res_key) != 0:
+            raise KeyError("Some Key "
+                           f"do not correspond the keys: {res_key}")
+
+    @staticmethod
+    def convert_values(data: dict):
+        key_int = {"WIDTH", "HEIGHT"}
+        key_tuple = {"ENTRY", "EXIT"}
+        key_bool = {"PERFECT"}
+        res: dict = {}
+        for key in key_int:
+            res.update({key: int(data[key])})
+        for key in key_tuple:
+            res.update({key: DataMaze.convert_tuple(data[key])})
+        for key in key_bool:
+            res.update({key: DataMaze.convert_bool(data[key])})
+        res.update({"OUTPUT_FILE": data["OUTPUT_FILE"]})
+        return res
+
+    @staticmethod
+    def get_data_maze(name_file: str) -> dict:
+        try:
+            data_str = DataMaze.get_file_data(name_file)
+            data_dict = DataMaze.transform_data(data_str)
+            DataMaze.verif_key_data(data_dict)
+            data_maze = DataMaze.convert_values(data_dict)
+            return data_maze
+        except FileNotFoundError:
+            print("The file do not exist")
+            exit()
+        except PermissionError:
+            print("We dont have the Permission")
+            exit()
+        except ValueError as e:
+            print(f"Error during the convert or the file is empty: {e}")
+            exit()
+        except KeyError as e:
+            print(f"Error on the key in the file: {e}")
+            exit()
+        except IndexError as e:
+            print("In the function transform Data some data cannot "
+                  f"be splited by '=' because '=' was not present: {e}")
+            exit()
+        except AttributeError as e:
+            print("Error on the "
+                  f"funciton get_data_maze : {e}")
+            exit()
+
+    @staticmethod
+    def convert_tuple(data: str) -> tuple:
+        data_t = data.split(",")
+        if len(data_t) != 2:
+            raise ValueError("There is too much "
+                             "argument in the coordinate given")
+        x, y = data_t
+        tup = (int(x), int(y))
+        return tup
+
+    @staticmethod
+    def convert_bool(data: str) -> bool:
+        if data != "True" and data != "False":
+            raise ValueError("This is not True or False")
+        if data == "True":
+            return True
+        return False

test.txt

@@ -0,0 +1,23 @@
+7D53BFD3D57951517D1D
+3D12C3903BD03AD4178D
+2BAEBEEEAA92EED547C9
+2287ED17AAAC5393FFF0
+6C6951292A87D2AEBD30
+37D43E8686E93AABAB8C
+21516D2D47FEE8284049
+6C7857C3FB9116C696D8
+751453D6D2AAC57BE970
+3BA952D17EA83BD05470
+22AAD2907BAE86967B74
+2AA83C2EFC69696FBC35
+686EE96FD7D4783FAD21
+7ED17ED3D57D3EC52FA0
+7B943D16FB7BABD3AFC8
+7407C5297EB82EB84174
+392D53C6912EE9447E9D
+62A952BBAAC13EFD7B89
+3AAC3EC6EABAAD557824
+66C7C7D7D6C6C7D556CD
+
+1,1
+16,15

test/test_parsing.py

@@ -1,10 +0,0 @@
-from parsing.Parsing import DataMaze
-
-
-def main() -> None:
-    print("Unit Testing for parsing:")
-    DataMaze.get_data("config.txt")
-
-
-if __name__ == "__main__":
-    main()

tests/test_Cell.py

@@ -0,0 +1,31 @@
+import pytest
+from amaz_lib.Cell import Cell
+
+
+def test_cell_setter_getter() -> None:
+    cell = Cell(value=0)
+
+    cell.set_north(True)
+    assert cell.get_north() is True
+    cell.set_north(False)
+    assert cell.get_north() is False
+
+    cell.set_est(True)
+    assert cell.get_est() is True
+    cell.set_est(False)
+    assert cell.get_est() is False
+
+    cell.set_south(True)
+    assert cell.get_south() is True
+    cell.set_south(False)
+    assert cell.get_south() is False
+
+    cell.set_west(True)
+    assert cell.get_west() is True
+    cell.set_west(False)
+    assert cell.get_west() is False
+
+    cell.set_value(8)
+    assert cell.get_value() == 8
+    cell.set_value(0)
+    assert cell.get_value() == 0

tests/test_Maze.py

@@ -0,0 +1,31 @@
+import numpy
+from amaz_lib.Cell import Cell
+from amaz_lib.Maze import Maze
+
+
+def test_maze_setter_getter() -> None:
+    maze = Maze(numpy.array([]))
+
+    test = numpy.array(
+        [
+            [Cell(value=6), Cell(value=8), Cell(value=11)],
+            [Cell(value=6), Cell(value=8), Cell(value=11)],
+            [Cell(value=6), Cell(value=8), Cell(value=11)],
+        ]
+    )
+
+    maze.set_maze(test)
+    assert numpy.array_equal(maze.get_maze(), test) == True
+
+
+def test_maze_str() -> None:
+    test = numpy.array(
+        [
+            [Cell(value=6), Cell(value=8), Cell(value=11)],
+            [Cell(value=6), Cell(value=8), Cell(value=11)],
+            [Cell(value=6), Cell(value=8), Cell(value=11)],
+        ]
+    )
+    maze = Maze(test)
+
+    assert maze.__str__() == "68B\n68B\n68B\n"

tests/test_MazeGenerator.py

@@ -0,0 +1,11 @@
+import numpy
+from amaz_lib.MazeGenerator import Kruskal
+
+
+def test_kruskal_output_shape() -> None:
+    generator = Kruskal()
+    maze = numpy.array([])
+    for output in generator.generator(10, 10):
+        maze = output
+
+    assert maze.shape == (10, 10)

tests/test_MazeSolver.py

@@ -0,0 +1,19 @@
+from amaz_lib.Cell import Cell
+import numpy as np
+from amaz_lib import AStar, Maze, MazeSolver
+
+
+def test_solver() -> None:
+    maze = Maze(
+        np.array(
+            [
+                [Cell(value=13), Cell(value=3), Cell(value=11)],
+                [Cell(value=9), Cell(value=4), Cell(value=6)],
+                [Cell(value=12), Cell(value=5), Cell(value=7)],
+            ]
+        )
+    )
+    print(maze)
+    solver = AStar((1, 1), (3, 3))
+    res = solver.solve(maze)
+    assert res == "ESWSEE"

tests/test_parsing.py

@@ -0,0 +1,78 @@
+from parsing.Parsing import DataMaze
+import pytest
+
+
+class TestParsing:
+
+    def test_get_data_valid(self):
+        data = DataMaze.get_file_data("tests/test_txt/config_1.txt")
+        assert isinstance(data, str) is True
+
+    def test_file_error(self):
+        with pytest.raises(FileNotFoundError):
+            DataMaze.get_file_data("tete")
+
+    # def test_permission_error(self):
+    #     with pytest.raises(PermissionError):
+    #         DataMaze.get_file_data("tests/test_txt/error_1.txt")
+
+    def test_empty_file_error(self):
+        with pytest.raises(ValueError):
+            DataMaze.get_file_data("tests/test_txt/error_6.txt")
+
+    def test_transform_data_valid(self):
+        data = DataMaze.get_file_data("tests/test_txt/config_1.txt")
+        data_2 = DataMaze.transform_data(data)
+        assert isinstance(data_2, dict)
+
+    def test_transform__index_error(self):
+        with pytest.raises(IndexError):
+            DataMaze.transform_data("asdasdasdasdasdasda\nasdasdas=asdasd")
+
+    def test_key_data_error(self):
+        with pytest.raises(KeyError):
+            data = DataMaze.get_file_data("tests/test_txt/error_8.txt")
+            data2 = DataMaze.transform_data(data)
+            DataMaze.verif_key_data(data2)
+
+    def test_key_data_error_2(self):
+        with pytest.raises(KeyError):
+            data = DataMaze.get_file_data("tests/test_txt/error_9.txt")
+            data2 = DataMaze.transform_data(data)
+            DataMaze.verif_key_data(data2)
+
+    def test_convert_int(self):
+        with pytest.raises(ValueError):
+            data = DataMaze.get_file_data("tests/test_txt/error_2.txt")
+            data2 = DataMaze.transform_data(data)
+            DataMaze.convert_values(data2)
+
+    def test_tuple_error(self):
+        with pytest.raises(ValueError):
+            DataMaze.convert_tuple("0,3,5,5")
+
+    def test_tuple_error1(self):
+        with pytest.raises(AttributeError):
+            DataMaze.convert_tuple(None)
+
+    def test_bool_error(self):
+        with pytest.raises(ValueError):
+            DataMaze.convert_bool("Trueeee")
+
+    def test_valid_tuple(self):
+        assert DataMaze.convert_tuple("7534564654, 78") == (7534564654, 78)
+
+    def test_valid_bool(self):
+        assert DataMaze.convert_bool("False") is False
+
+    def test_valid_bool1(self):
+        assert DataMaze.convert_bool("True") is True
+
+    def test_data_maze(self):
+        data = DataMaze.get_data_maze("tests/test_txt/config_1.txt")
+        assert data["WIDTH"] == 200
+        assert data["HEIGHT"] == 100
+        assert data["ENTRY"] == (0, 0)
+        assert data["EXIT"] == (19, 14)
+        assert data["OUTPUT_FILE"] == "maze.txt"
+        assert data["PERFECT"] is True

tests/test_txt/config_1.txt

@@ -0,0 +1,6 @@
+WIDTH=200
+HEIGHT=100
+ENTRY=0,0
+EXIT=19,14
+OUTPUT_FILE=maze.txt
+PERFECT=True

tests/test_txt/error_1.txt

@@ -0,0 +1,6 @@
+WIDTH=200
+HEIGHT=100
+ENTRY=0,0
+EXIT=19,14
+OUTPUT_FILE=maze.txt
+PERFECT=True

tests/test_txt/error_2.txt

@@ -0,0 +1,6 @@
+WIDTH=caca
+HEIGHT=100
+ENTRY=0,0
+EXIT=19,14
+OUTPUT_FILE=maze.txt
+PERFECT=True

tests/test_txt/error_8.txt

@@ -0,0 +1,4 @@
+WIDTH=200
+HEIGHT=100
+ENTRY=0,0
+EXIT=19,14

tests/test_txt/error_9.txt

@@ -0,0 +1,7 @@
+WIDTH=200
+HEIGHT=100
+ENTRY=0,0
+EXIT=19,14
+OUTPUT_FILE=maze.txt
+PERFECT=True
+PIPI=tut

uv.lock

@@ -14,26 +14,26 @@ dependencies = [
     { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
     { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "pydantic" },
-    { name = "pytest" },
 ]
 
 [package.dev-dependencies]
 dev = [
     { name = "flake8" },
     { name = "mypy" },
+    { name = "pytest" },
 ]
 
 [package.metadata]
 requires-dist = [
     { name = "numpy", specifier = ">=2.2.6" },
     { name = "pydantic", specifier = ">=2.12.5" },
-    { name = "pytest", specifier = ">=9.0.2" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
     { name = "flake8", specifier = ">=7.3.0" },
     { name = "mypy", specifier = ">=1.19.1" },
+    { name = "pytest", specifier = ">=9.0.2" },
 ]
 
 [[package]]