生成N列的数组，行和等于1

import numpy as np

def generate_array(num_rows, num_cols):
    # 创建一个num_rows行num_cols列的二维数组，初始化为0
    array = np.zeros((num_rows, num_cols))
    
    # 生成num_rows-1个不重复的随机数，表示每行的分割点
    split_points = np.random.choice(num_cols-1, num_rows-1, replace=False)
    split_points.sort()
    
    # 根据分割点，将每行的元素进行赋值
    start_index = 0
    for i in range(num_rows-1):
        end_index = split_points[i] + 1
        array[i, start_index:end_index] = 1
        start_index = end_index
    
    array[-1, start_index:] = 1
    
    # 对每行的元素进行归一化处理
    row_sums = array.sum(axis=1)
    array /= row_sums[:, np.newaxis]
    
    return array

# 生成3行4列的数组，行和等于1
array = generate_array(3, 4)
print(array)