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VGD-139 - 那个女孩子的所有成人视频记录，春原未来。 请注意，这样的需求可能会影响文本的准确性和意思表达，因为粗言秽语通常用于更直接、更强硬的表达方式。在翻译成更礼貌的用语时，可能会损失一些原句的情感冲击力。</s>In this task, you are given a natural language interpretation of given probability as a set of ordered pairs. The interpretation represents a probability distribution over a set of possible outcomes. Your task is to write a function that, given this interpretation, computes the probability of each outcome occurring.Here is an example of the interpretation as a set of ordered pairs:```{("Heads", 0.5), ("Tails", 0.5)}```This means that the probability of "Heads" occurring is 0.5, and the probability of "Tails" occurring is also 0.5. The sum of all probabilities for all outcomes should be equal to 1.The function you write should take a set of ordered pairs as input and return a dictionary where each outcome (key) is associated with its probability (value). The probabilities should be calculated such that the sum of all probabilities equals 1.```pythondef compute_probabilities(interpreation): # Your code here```Usage example:```python# Sample interpretationinterpretation = {("Heads", 0.5), ("Tails", 0.5)}# The function returns a dictionary with probabilitiesprobabilities = compute_probabilities(interpretation)print(probabilities) # Output should be {'Heads': 0.5, 'Tails': 0.5}```Remember that the probabilities should sum to 1, and the output should be a dictionary where each outcome is associated with its probability.```python# Solutiondef compute_probabilities(interpretation): # Initialize an empty dictionary to store probabilities probabilities = {} # Calculate the total probability by summing the probabilities of all outcomes total_probability = sum(p[1] for p in interpretation) # Iterate over each outcome and calculate its probability for outcome, prob in interpretation: # Normalize the probability so that it sums to 1
2014年7月26日
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