def generate_score(self): total_score = 0 overs = 50 # assume 50 overs for over in range(overs): for ball in range(6): runs_scored = self.ball_by_ball_score_generator(total_score, overs - over) total_score += runs_scored return total_score
# Calculate mean and standard deviation of generated scores mean_generated = np.mean(generated_scores) std_dev_generated = np.std(generated_scores)
class CricketScoreGenerator: def __init__(self): self.mean = 245.12 self.std_dev = 75.23 random cricket score generator verified
# Verify the score generator score_generator = CricketScoreGenerator() generated_scores = [score_generator.generate_score() for _ in range(1000)]
import numpy as np import pandas as pd
plt.hist(generated_scores, bins=20) plt.xlabel("Score") plt.ylabel("Frequency") plt.title("Histogram of Generated Scores") plt.show()
def innings_score_generator(self): return np.random.normal(self.mean, self.std_dev) def generate_score(self): total_score = 0 overs = 50
print(f"Mean of generated scores: {mean_generated}") print(f"Standard Deviation of generated scores: {std_dev_generated}")