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1fantasy1
python_learn
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from mpmath import mp
from tqdm import tqdm
# 设置精度
mp.dps = 1000
# 使用Chudnovsky算法计算圆周率
def chudnovsky(num_iterations):
pi = mp.mpf(0)
chunk_size = 1000 # 每次计算的块大小
num_chunks = num_iterations // chunk_size
for chunk in tqdm(range(num_chunks)):
pi_chunk = mp.mpf(0)
# 遍历本块的所有项
for k in range(chunk * chunk_size, (chunk + 1) * chunk_size):
# 计算分子,使用(-1)^k和阶乘函数
numerator = (-1) ** k * mp.fac(6 * k) * (13591409 + 545140134 * k)
# 计算分母,同样使用阶乘函数
denominator = mp.fac(3 * k) * (mp.fac(k) ** 3) * (640320 ** (3 * k))
# 累加本项对圆周率的贡献
pi_chunk += mp.mpf(numerator) / mp.mpf(denominator)
# 根据本块的计算结果调整pi_chunk的值
pi_chunk = pi_chunk * mp.mpf(12) / mp.mpf(640320 ** 1.5)
# 反转pi_chunk以修正计算误差
pi_chunk = 1 / pi_chunk
# 累加到全局圆周率估计上
pi += pi_chunk
return pi
# 设置迭代次数
num_iterations = 10000 # 调整此值以增加计算精度
# 计算圆周率并显示进度条
pi = chudnovsky(num_iterations)
# 打印结果
print("Pi:", pi)
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