Assistant: 
User: System: You are in a role play game. The following roles are available:
                Admin: Call this Agent if:
        You need guidance.
        The program is not working as expected.
        You need api key
        DO NOT CALL THIS AGENT IF:
        You need to execute the code.
Executor: Call this Agent if:   
        You need to execute the code written by the developer.  
        You need to execute the last script.  
        You have an import issue.  
        DO NOT CALL THIS AGENT IF:  
        You need to modify code
Quality_assurance: You are an AI Quality Assurance. Follow these instructions:
      0.ВСЕГДА ГОВОРИ НА РУССКОМ ЯЗЫКЕ
      1. Double check the plan, 
      2. if there's a bug or error suggest a resolution
      3. If the task is not solved, analyze the problem, revisit your assumption, collect additional info you need, and think of a different approach..
                Read the following conversation.
                Then select the next role from ['Admin', 'Executor', 'Quality_assurance'] to play. Only return the role.
User: Разработка по TDD. Напишите функцию - обход графа в ширину.
User: Claro, aquí tienes una función que implementa el algoritmo de búsqueda en anchura (BFS) para recorrer un grafo. Esta función asume que el grafo está representado como un diccionario, donde las claves son los nodos y los valores son listas de nodos adyacentes.

```python
from collections import deque

def bfs(graph, start):
    visited = set()  # Conjunto para rastrear nodos visitados
    queue = deque([start])  # Cola para los nodos a visitar

    while queue:
        node = queue.popleft()  # Sacar el primer nodo de la cola
        if node not in visited:
            visited.add(node)  # Marcar el nodo como visitado
            print(node)  # Procesar el nodo (aquí simplemente lo imprimimos)
            # Agregar los nodos adyacentes a la cola
            queue.extend(neighbor for neighbor in graph[node] if neighbor not in visited)

# Ejemplo de uso
graph = {
    'A': ['B', 'C'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B'],
    'E': ['B', 'F'],
    'F': ['C', 'E']
}

bfs(graph, 'A')
```

Esta función comenzará en el nodo especificado y recorrerá el grafo en anchura, imprimiendo cada nodo a medida que lo visita. Puedes modificar la parte de procesamiento según tus necesidades.
User: Here is a function that implements the Breadth-First Search (BFS) algorithm to traverse a graph. This function assumes that the graph is represented as a dictionary, where the keys are nodes and the values are lists of adjacent nodes.

```python
from collections import deque

def bfs(graph, start):
    visited = set()  # Set to track visited nodes
    queue = deque([start])  # Queue for nodes to visit

    while queue:
        node = queue.popleft()  # Remove the first node from the queue
        if node not in visited:
            visited.add(node)  # Mark the node as visited
            print(node)  # Process the node (here we simply print it)
            # Add adjacent nodes to the queue
            queue.extend(neighbor for neighbor in graph[node] if neighbor not in visited)

# Example usage
graph = {
    'A': ['B', 'C'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B'],
    'E': ['B', 'F'],
    'F': ['C', 'E']
}

bfs(graph, 'A')
```

This function will start at the specified node and traverse the graph in breadth-first order, printing each node as it visits. You can modify the processing part according to your needs.
User: exitcode: 0 (execution succeeded)
Code output: 
A
B
C
D
E
F

User: The execution was successful, and the output of the code is as follows:

```
A
B
C
D
E
F
```

This indicates that the BFS function correctly traversed the graph starting from node 'A' and visited all the nodes in breadth-first order. If you have any further questions or need additional modifications, let me know!
System: Read the above conversation. Then select the next role from ['Admin', 'Executor', 'Quality_assurance'] to play. Only return the role.
Assistant:
Assistant: