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Write a Python function `frequency_lists` that takes a list of lists as input and returns a dictionary where the keys are the unique elements from the flattened list, and the values are the counts of their occurrences. #### Example Usage ```python [main.nopy] frequency_lists([[1, 2, 3, 2], [4, 5, 6, 2], [7, 8, 9, 5]]) # Output: {1: 1, 2: 3, 3: 1, 4: 1, 5: 2, 6: 1, 7: 1, 8: 1, 9: 1} frequency_lists([[1, 2], [2, 3], [3, 4]]) # Output: {1: 1, 2: 2, 3: 2, 4: 1} ``` #### Constraints - The input will always be a list of lists. - The inner lists can contain integers. - The function should handle empty lists gracefully.
def frequency_lists(list_of_lists): """ Calculate the frequency of each element in a flattened list of lists. Args: list_of_lists (list of list of int): A list containing sublists of integers. Returns: dict: A dictionary with elements as keys and their frequencies as values. """ # Flatten the list of lists into a single list # Count the frequency of each element # Return the frequency dictionary pass