我在一个简单的python脚本中使用numpy，该脚本在循环中调用并运行另一个程序。它运行了好几天，然后我需要去某个地方，所以我试图取消该过程，我很懒，最后只是关闭了终端。下次尝试运行它时，我开始出现以下错误：
ModuleNotFoundError Traceback（最近一次通话） （）中的/home/cb27g11/Development/Ciara/Test_script.py 1个导入子流程 2导入文件输入 ----> 3将numpy导入为np 4 5 tan_beta = [20，25，30，35，40] #tantan值数组
ModuleNotFoundError：没有名为“ numpy”的模块
但是numpy肯定仍然安装。我使用anaconda，文件中有numpy。如果我在终端中启动shell并导入numpy，就没有问题，并且“哪个python”返回：
/home/cb27g11/anaconda3/bin/python
所以路径似乎是完整的。
我尝试完全卸载numpy和anaconda，清除计算机中与numpy相关的所有文件，然后重新安装都没有成功。
然后我通过pip3安装了numpy，我一直在浏览环境和蟒蛇文件以查看路径是否损坏，但是我正在努力寻找解决方法。
以防万一我的小脚本有问题，请在下面添加它：
import fileinput
import numpy as np
tan_beta = [20, 25, 30, 35, 40] #Array of tan(beta) values
sin_bma = np.linspace(0.9, 1.1, 22)#Array of sin(beta-alpha) values
hcm = 250 # Mass of charged Higgses in GeV
textfilepath = '/home/cb27g11/models/mg_run.txt' #path to txt file madgraph will use
Process = 'AD_noCharge'
def the_main_event():
with open('/home/cb27g11/Development/Ciara/mg_run_basic.txt','r') as old_card:
text =old_card.read() #stores string of old_card ready for editing
for i in range(0, len(tan_beta)):
tb = tan_beta[i] # loops over tan(beta) values
for j in range(0, len(sin_bma)):
sbma = sin_bma[j] # loops over sin(beta-alpha) values
make_input(tb, sbma, hcm, text)
run_madgraph()
def make_input(Tb, Sbma, Hcm, Text):
# inputs are the value of tan_beta, the value of sin(beta-alpha) values, the desired mass for the charged higgses and a string of text
with open(textfilepath, 'w') as new_card:
#simulation card, the .txt file that gets fed to madgraph
sim_card = Text.replace('TBV', str(Tb))
sim_card = sim_card.replace('SBMAV', str(Sbma))
sim_card = sim_card.replace('HCMV', str(Hcm))
sim_card = sim_card.replace('NAME', str(Process)+'_' + str(Tb) +'_' + str(Sbma))
new_card.write(sim_card) # saves new txt file for madgraph in ~/models (as this is linked to docker as an input)
def run_madgraph():
# starts madgraph in docker with a volume type output linked to $HOME/output on laptop and mount type input linked to $HOME/models, then tells it to run mg5_aMC using mg_run.txt as a file for it.
subprocess.run('sudo docker run -t -i -v $HOME/outputs:/var/MG_outputs --mount type=bind,source=$HOME/models,target=/app hfukuda/madgraph /home/hep/MG5_aMC_v2_6_3_2/bin/mg5_aMC /app/mg_run.txt', shell=True)
the_main_event()```