def calculate(FD_add, E_add, T_add, result_name, unit):
import time
import os
import pythoncom
from mlab.releases import latest_release as matlab
from matlab import matlabroot
import win32com.client
from win32com.client import Dispatch
file_dir = Setting.FILR_DIR["MAP1_DIR"]
result_name = os.path.join(file_dir, result_name + '.xls') # 结果数据的名字
#判断 文件名是否已存在
if os.path.exists(result_name):
return "计算失败，主题重复，请修改主题！"
print('调用开始！',
time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
pythoncom.CoInitialize()
matlab.path(matlab.path(), os.path.join(Setting.BASE_DIR, "map1",
"matrix")) # 设置路径
T_addList = T_add.split('\\')
T_add_index = T_add.replace(T_addList[len(T_addList) - 1], '')
h = Dispatch("Matlab.application")
h.execute("matlab_3('" + FD_add + "','" + E_add + "','" + T_add + "','" +
result_name + "','" + unit + "')")
print('调用结束！',
time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
return result_name
def rawAnalyseSleep(workdir): progress = '[Task] raw sleep analysis of %s' % workdir matlab.path(matlab.path(), r'./matlab') # setup matlab env print progress emailProgress(progress, lRcvProgress) while(1): # configure light schedule isValid = False while(1): print '\tconfigure light schedule' isValid = configTime(workdir) if isValid: break # configure tube order isValid = False while(1): print '\tconfigure tube order' isValid = runConfigOrder(workdir) if isValid: break # start raw sleep analysis #try: matlab.batProcess() # call batchProcess.m #except(mlab.matlabcom.MatlabError): #print 'Invalid configuration. Please try again.' #continue break progress = '[Complete] raw sleep analysis of %s' % workdir print progress emailProgress(progress, lRcvProgress)
def registros(request):
# Handle file upload
if request.method == 'POST':
form = RegistroEEGForm(request.POST, request.FILES)
if form.is_valid():
time.sleep(1)
instance = form.save(commit=False)
pac = instance.paciente.id
print pac
assert type(pac) == int
matlab.path(matlab.path(), 'D:\Registros')
matlab.generarGrafica2(pac)
directory = 'Pacientes/Paciente%s/Registro%s.png' % (pac, pac)
instance.archivo_registro = directory
form.save()
render(request, "registros.html", {})
else:
form = RegistroEEGForm() # A empty, unbound form
# Load documents for the list page
registros_eeg = RegistroEEG.objects.all()
# Render list page with the documents and the form
return render_to_response(
'registros.html',
{'registros': registros_eeg, 'form': form},
context_instance=RequestContext(request)
)
def registros(request):
# Handle file upload
if request.method == 'POST':
form = RegistroEEGForm(request.POST, request.FILES)
if form.is_valid():
time.sleep(1)
instance = form.save(commit=False)
pac = instance.paciente.id
print pac
assert type(pac) == int
matlab.path(matlab.path(), 'D:\Registros')
matlab.generarGrafica2(pac)
directory = 'Pacientes/Paciente%s/Registro%s.png' % (pac, pac)
instance.archivo_registro = directory
form.save()
render(request, "registros.html", {})
else:
form = RegistroEEGForm() # A empty, unbound form
# Load documents for the list page
registros_eeg = RegistroEEG.objects.all()
# Render list page with the documents and the form
return render_to_response('registros.html', {
'registros': registros_eeg,
'form': form
},
context_instance=RequestContext(request))
def fineAnalyseSleep(workdir):
progress = '[Task] fine sleep analysis of %s' % workdir
matlab.path(matlab.path(), r'./matlab') # setup matlab env
print progress
emailProgress(progress, lRcvProgress)
configDeath('.')
matlab.fineProcess()
progress = '[Complete] fine sleep analysis of %s' % workdir
print progress
emailProgress(progress, lRcvProgress)
def renameDav(workdir): print '[Task] rename all dav files' matlab.path(matlab.path(), r'./matlab') try: matlab.renameDav() except(mlab.matlabcom.MatlabError): print 'no file has been renamed.' return progress = '\t[Complete] All dav files have been renamed;' print progress txt = 'workdir = %s\nprogress = %s\n' % (workdir, progress) emailProgress(txt, lRcvProgress)
def calculate(FD_add, E_add, T_add, result_name, unit):
print('调用开始！',
time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
pythoncom.CoInitialize()
print(matlabroot())
pwd = os.getcwd()
matlab.path(matlab.path(), pwd) # 设置路径
print(matlab.path())
T_addList = T_add.split('\\')
T_add_index = T_add.replace(T_addList[len(T_addList) - 1], '')
result_name = T_add_index + result_name + '.xls' # 结果数据的名字
h = Dispatch("Matlab.application")
h.execute("test8('" + FD_add + "','" + E_add + "','" + T_add + "','" +
result_name + "')")
#h.execute("matlab_3('"+FD_add+"','"+E_add+"','"+T_add+"','"+result_name+"')")
print('调用结束！',
time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
return result_name
# -*- coding: utf-8 -*-
"""
Created on Sun May 26 09:08:53 2019
@author: ztidus
"""
# -*- coding: utf-8 -*-
from mlab.releases import latest_release as matlab
matlab.path(matlab.path(),r'/media/ztidus/new_disk/MATLAB/R2017b/bin/matlab') #设置路径
def mainFunction():
a = int(1)
b = int(2)
result = matlab.get_sum(a, b)# 调用matlab的函数
print(result)
#=======================================
if __name__ == '__main__':
print('running...')
mainFunction()
#!/usr/bin/env python
import caffe
from data_provider_layer import DataProvider
import os
import pdb
import numpy as np
import mlab
from mlab.releases import latest_release as matlab
matlab.path(matlab.path(),'/data1/qtang/samsung/wheels/matlab')
def feat_extract(device_id=2, img_list_path='', batchsize=256, net='./deploy_lda_siamese.prototxt', model='./197_iter_500.caffemodel', iter=500 , blob='pool6'):
f_path = './'+'feat_'+os.path.basename(img_list_path).split('.')[0]+'/iter'+str(iter)+'/'+blob
if not os.path.exists(f_path):
os.makedirs(f_path)
dp = DataProvider(batchsize=batchsize, path=img_list_path)
img_list_len=len(dp.img_dict)
net = caffe.Net(net, model, caffe.TEST)
caffe.set_device(device_id)
caffe.set_mode_gpu()
if blob == 'fc7_n':
feature = np.zeros((batchsize*100,298))
else:
feature = np.zeros((batchsize*100,8192))
img_name = []
block_label = []
index = 0
epoch = 0
counter = 1
while epoch==0:
img_np, labels, epoch, img_name_batch = dp.get_batch_vec()
net.blobs['top_0'].data[...] = img_np
#!/usr/bin/env python
# encoding:utf-8
import pse
import argparse
from argparse import RawTextHelpFormatter
from mlab.releases import latest_release as matlab
from mlab.releases import latest_release as matlab
from mlab.releases import latest_release as matlab
from collections import OrderedDict
import numpy as np
import math
matlab.path(matlab.path(),
r'E:\Bioinformation\yq_aptamer\yq_aptamer_web\Pse-in-One-2.0'
) #设置路径，注意E:\python&matlab为放置MATLAB程序的路径
print "请输入适配体序列"
path_aptamer = matlab.input_file_01(
) #调用自己定义的m函数就可以了，注意，这里的k3mer为自己定义的MATLAB函数，然后将结果赋给k3mer就好了。
print "请输入靶点序列"
path_target = matlab.input_file_02(
) #调用自己定义的m函数就可以了，注意，这里的k3mer为自己定义的MATLAB函数，然后将结果赋给k3mer就好了。
# print path
def read_biodata(data_file):
'''
data_file是保存有生物序列的fasta格式的txt文件,并将它保存在字典中，原来的顺序保存在列表中
:param data_file: data_file是保存有生物序列的fasta格式的txt文件
:return:返回
'''
file = open(data_file)
#!/usr/bin/env python
# encoding:utf-8
import pse
import argparse
from argparse import RawTextHelpFormatter
from mlab.releases import latest_release as matlab
from collections import OrderedDict
matlab.path(matlab.path(),r'E:\Bioinformation\yq_aptamer\yq_aptamer_web\Pse-in-One-2.0')
print "请输入适配体序列"
path_aptamer = matlab.input_file_aptamer()
print path_aptamer
print "请输入靶点序列"
path_target = matlab.input_file_target()
print path_target
# print path
def read_biodata(data_file):
'''
data_file是保存有生物序列的fasta格式的txt文件,并将它保存在字典中，原来的顺序保存在列表中
:param data_file: data_file是保存有生物序列的fasta格式的txt文件
:return:返回
'''
file = open(data_file)
seq = {}
list = []
i = 1;
for line in file:
if line[0] == ">":
name = line.strip()[1:]
