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def summmaryranges(nums):
    ranges = []
    for num in nums:
        if not ranges or num - ranges[-1][-1] > 1:
            ranges.append([])
        ranges[-1][1:] = [num]
    return ['->'.join(map(str, r)) for r in ranges]

def reverse(l, r, cl):
    while l < r:

com3345

浦发银行
白云机场
东风汽车
中国国贸
首创股份
上海机场
包钢股份
华能国际
皖通高速
华夏银行

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'''
moving avg，就是一个stream输入，
给一个int getNow()API获取当前timestamp，
完成两个函数void record(int value)和double getAvg()，
有输入时会自动call record，然后call getAvg()时返回5分钟内的平均值。 
getMedium -> quick select
'''

from collections import deque

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import matplotlib.pyplot as plt
from matplotlib import animation
import networkx as nx
import os
import time

os.chdir('/Users/Cosann/Downloads/initial_graph_gml')
filenames = os.listdir('.')

filename = filenames[0]

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from nilearn import datasets

from nilearn.input_data import NiftiLabelsMasker as NLM

# your rawdata filename
filename = './tfMRI_EMOTION_RL.nii.gz'

# download the atlas, which has two attributes: dataset.maps, dataset.labels
dataset = datasets.fetch_atlas_destrieux_2009()