|
| 1 | +import abc |
| 2 | +import random |
| 3 | +import string |
| 4 | +from typing import List, NoReturn, Sequence, Union |
| 5 | + |
| 6 | +_Number = Union[float, int] |
| 7 | + |
| 8 | + |
| 9 | +class Randomizer(metaclass=abc.ABCMeta): |
| 10 | + @abc.abstractmethod |
| 11 | + def create(self) -> NoReturn: |
| 12 | + raise NotImplementedError |
| 13 | + |
| 14 | + |
| 15 | +class Integer(Randomizer): |
| 16 | + def __init__(self, min: int = 1, max: int = 9): |
| 17 | + self._min = min |
| 18 | + self._max = max |
| 19 | + |
| 20 | + def create(self) -> int: |
| 21 | + return random.randint(self._min, self._max) |
| 22 | + |
| 23 | + |
| 24 | +class Double(Randomizer): |
| 25 | + def __init__(self, min: _Number = 0, max: _Number = 1): |
| 26 | + self._min = min |
| 27 | + self._max = max |
| 28 | + |
| 29 | + def create(self) -> float: |
| 30 | + return random.uniform(self._min, self._max) |
| 31 | + |
| 32 | + |
| 33 | +class String(Randomizer): |
| 34 | + def __init__(self, length: int = 16, letters: Sequence[str] = string.ascii_lowercase): |
| 35 | + self._length = length |
| 36 | + self._letters = letters |
| 37 | + |
| 38 | + def create(self) -> str: |
| 39 | + text = random.choices(self._letters, k=self._length) |
| 40 | + return "".join(text) |
| 41 | + |
| 42 | + |
| 43 | +class Array1D(Randomizer): |
| 44 | + def __init__(self, N: int = 10, randomizer: Randomizer = Integer()): |
| 45 | + self._N = N |
| 46 | + self._randomizer = randomizer |
| 47 | + self._sorted = False |
| 48 | + |
| 49 | + def sorted(self, sorted: bool = True) -> "Array1D": |
| 50 | + self._sorted = sorted |
| 51 | + return self |
| 52 | + |
| 53 | + def create(self) -> List: |
| 54 | + array = [self._randomizer.create() for _ in range(self._N)] |
| 55 | + if self._sorted: |
| 56 | + array.sort() |
| 57 | + |
| 58 | + return array |
| 59 | + |
| 60 | + |
| 61 | +class Array2D(Array1D): |
| 62 | + def __init__(self, N: int = 10, M: int = 10, randomizer: Randomizer = Integer()): |
| 63 | + super().__init__(N, randomizer) |
| 64 | + self._M = M |
| 65 | + |
| 66 | + def sorted(self, sorted: bool = True) -> "Array2D": |
| 67 | + self._sorted = sorted |
| 68 | + return self |
| 69 | + |
| 70 | + def create(self) -> List[List]: |
| 71 | + return [super().create() for _ in range(self._N)] |
| 72 | + |
| 73 | + |
| 74 | +class Graph(Randomizer): |
| 75 | + def __init__(self, N: int = 5, ratio: _Number = 0.3, randomizer: Randomizer = Integer()): |
| 76 | + self._N = N |
| 77 | + self._ratio = ratio |
| 78 | + self._randomizer = randomizer |
| 79 | + self._directed = True |
| 80 | + self._weighted = False |
| 81 | + |
| 82 | + def directed(self, directed: bool = True) -> "Graph": |
| 83 | + self._directed = directed |
| 84 | + return self |
| 85 | + |
| 86 | + def weighted(self, weighted: bool = True) -> "Graph": |
| 87 | + self._weighted = weighted |
| 88 | + return self |
| 89 | + |
| 90 | + def create(self) -> List[List]: |
| 91 | + graph = [[None] * self._N for _ in range(self._N)] |
| 92 | + for i in range(self._N): |
| 93 | + for j in range(self._N): |
| 94 | + if i == j: |
| 95 | + graph[i][j] = 0 |
| 96 | + elif self._directed or i < j: |
| 97 | + if random.random() >= self._ratio: |
| 98 | + graph[i][j] = 0 |
| 99 | + elif self._weighted: |
| 100 | + graph[i][j] = self._randomizer.create() |
| 101 | + else: |
| 102 | + graph[i][j] = 1 |
| 103 | + else: |
| 104 | + graph[i][j] = graph[j][i] |
| 105 | + |
| 106 | + return graph |
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