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1702 - Cristale
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=== Explicație === Se va rezolva cerinţa 1 a problemei. Eşantionul are <code>6</code> rânduri cu câte <code>8</code> molecule pe fiecare rând. Pe acest eşantion observăm o formaţiune cristalizabilă cu celule de tip <code>9</code>, izolată de învelişul special format din celule identice, toate de tip <code>6</code> şi o formaţiune cristalizabilă cu celule de tip <code>7</code>, izolată de învelişul special format din celule identice, toate de tip <code>4</code>. Formaţiunea de <code>3</code> molecule de tip <code>8</code> nu este o formaţiune cristalizabilă întrucât se află pe marginea eşantionului. <syntaxhighlight lang="python" line="1"> def is_valid_position(x, y, M, N): return 0 <= x < M and 0 <= y < N def identify_crystalline_formations(sample, M, N): directions = [ [(0, 0), (0, 1), (0, 2)], # Orizontal [(0, 0), (1, 0), (2, 0)], # Vertical [(0, 0), (0, 1), (1, 0)], # L form [(0, 0), (1, 0), (1, 1)], # Inverse L form ] formations = [] for i in range(M): for j in range(N): for direction in directions: molecules = set() valid = True for dx, dy in direction: x, y = i + dx, j + dy if not is_valid_position(x, y, M, N): valid = False break molecules.add(sample[x][y]) if valid and len(molecules) == 1: formations.append((i, j, direction)) return formations def apply_crystallization(sample, formations, M, N): for (i, j, direction) in formations: surrounding_type = None formation_type = sample[i][j] # Identify the surrounding type for dx, dy in direction: x, y = i + dx, j + dy for nx, ny in [(x-1, y), (x+1, y), (x, y-1), (x, y+1)]: if is_valid_position(nx, ny, M, N) and sample[nx][ny] != formation_type: surrounding_type = sample[nx][ny] break if surrounding_type: break # Apply the crystallization if surrounding_type: for dx, dy in direction: x, y = i + dx, j + dy sample[x][y] = surrounding_type def print_sample(sample): for row in sample: print(' '.join(map(str, row))) # Exemplu de utilizare M = 5 N = 5 sample = [ [1, 1, 1, 2, 3], [1, 4, 2, 3, 2], [4, 2, 3, 2, 2], [2, 2, 3, 1, 4], [3, 1, 4, 4, 4], ] formations = identify_crystalline_formations(sample, M, N) print(f"Formațiuni cristalizabile: {formations}") apply_crystallization(sample, formations, M, N) print("Eșantion după cristalizare:") print_sample(sample) </syntaxhighlight>
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