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class Fruit(object): | |
"""A class that makes various tasty fruits.""" | |
def __init__(self, name, color, flavor, poisonous): | |
self.name = name | |
self.color = color | |
self.flavor = flavor | |
self.poisonous = poisonous | |
def description(self): | |
print "I'm a %s %s and I taste %s." % (self.color, self.name, self.flavor) |
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#Step 1 | |
#install the PiFm library | |
cd ~ | |
mkdir pifm | |
cd pifm | |
wget http://www.icrobotics.co.uk/wiki/images/c/c3/Pifm.tar.gz | |
tar -xvf Pifm.tar.gz | |
#Step 2 |
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# wehappyfew | |
# Distributed over IDC(I Don't Care) license | |
__author__ = 'wehappyfew' | |
import time | |
import serial | |
import smtplib |
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def delete_instances(instance_tag="your_tag" , instance_state="stopped"): | |
""" | |
The function | |
1. filters all the instances by tag and instance-state | |
2. terminates/deletes the filtered instances (irreversible action!!!) | |
""" | |
reserves = conn.get_all_instances( filters={"tag-value":instance_tag , "instance-state-name":instance_state} ) | |
for r in reserves: | |
for instance in r.instances: | |
instance.terminate() |
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import boto, boto.ec2, time | |
# creds for AWS user | |
aws_access_key_id = "sdvsdvsdvsdvsdvsdv" | |
aws_secret_access_key = "sdvsdvsdvsdvsdvsdvsdv" | |
Windows_Server_2003_R2_Base_64bit_imageID = "ami-b9f2d789" | |
Ubuntu_Server_14_04_LTS_imageID = "ami-23ebb513" | |
AMIs = { |
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def tag_instances(connection,tag , instance_state="pending"): | |
""" | |
-The function must be run immediately after the spawn of an instance!!!- | |
1. The function fetches all the instances | |
2. Filters them by instance-state-name:pending | |
(for a short period the newly created instances are 'pending' before becoming 'running') | |
3. Tags them with the user defined tag. | |
4. Returns the just tagged instances (ids) for future reference | |
""" |
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def stop_instances(region, instance_tag="my_instance" , instance_state="running"): | |
""" | |
The function | |
1. filters all the instances by tag and instance-state | |
2. stops the filtered instances (does not terminate/delete them) | |
3. returns the just stopped instances (ids) for future reference | |
""" | |
c = boto.ec2.connect_to_region(region_name = region, | |
aws_access_key_id = aws_access_key_id, | |
aws_secret_access_key = aws_secret_access_key, |
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def delete_instances(region, instance_tag="my_instance" , instance_state="stopped"): | |
""" | |
The function | |
1. filters all the instances by tag and instance-state | |
2. terminates/deletes the filtered instances (irreversible action!!!) | |
""" | |
c = boto.ec2.connect_to_region(region_name = region, | |
aws_access_key_id = aws_access_key_id, | |
aws_secret_access_key = aws_secret_access_key, | |
) |
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def list_all_instances(region): | |
# make the connection to AWS with my creds | |
conn = boto.ec2.connect_to_region(region_name = region, | |
aws_access_key_id = aws_access_key_id, | |
aws_secret_access_key = aws_secret_access_key, | |
) | |
reservations = conn.get_all_instances() | |
for r in reservations: | |
for instance in r.instances: |
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def fetch_excel_values(filepath, sheet_index=0): | |
from xlrd import open_workbook | |
# open the excel file | |
book = open_workbook(filename=filepath) | |
# open the specific sheet based on index | |
sheet = book.sheet_by_index(0) | |
# read headers | |
keys = [sheet.cell(int(sheet_index),col_index).value for col_index in range(sheet.ncols)] |
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