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| import matplotlib.pyplot as plt | |
| import neuron | |
| soma = neuron.h.Section(name="soma") | |
| # Set the geometry of the section | |
| soma.nseg = 1 | |
| soma.diam = 10 | |
| soma.L = 10 | |
| # Insert Hodgkin Huxley channel models in this soma |
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| import matplotlib.pyplot as plt | |
| import neuron | |
| soma = neuron.h.Section(name="soma") | |
| # Set the geometry of the section | |
| soma.nseg = 1 | |
| soma.diam = 10 | |
| soma.L = 10 | |
| # Insert Hodgkin Huxley channel models in this soma |
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| #!/bin/bash | |
| URL=SET_URL | |
| TOKEN=SET_TOKEN | |
| ROOM_ID=$1 | |
| MSG="\"$2: $3\"" | |
| curl -XPOST -d \ | |
| '{"msgtype":"m.text", "body":'"${MSG}"'}' \ | |
| "https://${URL}/_matrix/client/r0/rooms/${ROOM_ID}/send/m.room.message?access_token=${TOKEN}" |
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import sys | |
| argvs = sys.argv | |
| argc = len(argvs) | |
| if(argc != 3): | |
| print 'Usage : ./%s (input_filename) (output_image)' % (argvs[0]) | |
| quit() |
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| #include <stdio.h> | |
| #include <math.h> | |
| #include <stdlib.h> | |
| #include "mpi.h" | |
| #ifdef KCOMPUTER | |
| #include "fj_tool/fapp.h" | |
| #endif | |
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| <?xml version="1.0" encoding="UTF-8"?> | |
| <zabbix_export> | |
| <version>3.2</version> | |
| <date>2017-06-11T10:23:22Z</date> | |
| <groups> | |
| <group> | |
| <name>Templates</name> | |
| </group> | |
| </groups> | |
| <templates> |
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| .include "io.s" | |
| .text | |
| .global _start | |
| _start: | |
| mov x22, #1 // i = 1 | |
| mov x24, #30 // loop max | |
| mov x23, #1 // 3 counter | |
| mov x25, #3 // 3 | |
| mov x26, #1 // 5 counter | |
| mov x27, #5 // 5 |
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| UserParameter=temper.temp,temper | cut -d "," -f |
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| eb create --database --vpc.id vpc-3c98c145 --vpc.dbsubnets subnet-9ff2b1b3,subnet-5790971f --vpc.ec2subnets subnet-9ff2b1b3,subnet-5790971f --vpc.elbsubnets subnet-9aefacb6,subnet-488b8c00 --vpc.elbpublic -db.i db.t2.micro -db.engine mysql --elb-type classic --service-role aws-elastic-beanstalk-service-role --instance_profile qls-1479818-2dbab78613effee2-AWSBeanstalkEc2Role-SBVJU5FKIIB |