forked from TrueCloudLab/s3-tests
Adding common, and a sample config.yml
Introduces a new dependancy on PyYAML
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4 changed files with 224 additions and 0 deletions
2
.gitignore
vendored
2
.gitignore
vendored
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*.pyo
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/virtualenv
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config.yml
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162
common.py
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162
common.py
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import boto.s3.connection
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import bunch
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import itertools
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import os
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import random
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import string
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import yaml
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s3 = bunch.Bunch()
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config = bunch.Bunch()
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prefix = ''
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bucket_counter = itertools.count(1)
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def choose_bucket_prefix(template, max_len=30):
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"""
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Choose a prefix for our test buckets, so they're easy to identify.
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Use template and feed it more and more random filler, until it's
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as long as possible but still below max_len.
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"""
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rand = ''.join(
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random.choice(string.ascii_lowercase + string.digits)
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for c in range(255)
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)
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while rand:
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s = template.format(random=rand)
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if len(s) <= max_len:
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return s
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rand = rand[:-1]
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raise RuntimeError(
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'Bucket prefix template is impossible to fulfill: {template!r}'.format(
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template=template,
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),
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)
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def nuke_prefixed_buckets():
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for name, conn in s3.items():
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print 'Cleaning buckets from connection {name}'.format(name=name)
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for bucket in conn.get_all_buckets():
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if bucket.name.startswith(prefix):
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print 'Cleaning bucket {bucket}'.format(bucket=bucket)
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try:
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bucket.set_canned_acl('private')
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for key in bucket.list():
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print 'Cleaning bucket {bucket} key {key}'.format(
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bucket=bucket,
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key=key,
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)
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key.set_canned_acl('private')
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key.delete()
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bucket.delete()
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except boto.exception.S3ResponseError as e:
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# TODO workaround for buggy rgw that fails to send
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# error_code, remove
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if (e.status == 403
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and e.error_code is None
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and e.body == ''):
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e.error_code = 'AccessDenied'
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if e.error_code != 'AccessDenied':
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print 'GOT UNWANTED ERROR', e.error_code
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raise
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# seems like we're not the owner of the bucket; ignore
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pass
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print 'Done with cleanup of test buckets.'
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def setup():
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global s3, config, prefix
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s3.clear()
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config.clear()
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try:
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path = os.environ['S3TEST_CONF']
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except KeyError:
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raise RuntimeError(
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'To run tests, point environment '
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+ 'variable S3TEST_CONF to a config file.',
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)
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with file(path) as f:
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g = yaml.safe_load_all(f)
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for new in g:
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config.update(bunch.bunchify(new))
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# These 3 should always be present.
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if not config.has_key('s3'):
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raise RuntimeError('Your config file is missing the s3 section!');
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if not config.s3.has_key('defaults'):
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raise RuntimeError('Your config file is missing the s3.defaults section!');
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if not config.has_key('fixtures'):
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raise RuntimeError('Your config file is missing the fixtures section!');
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if config.fixtures.has_key('bucket prefix'):
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template = config.fixtures['bucket prefix']
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else:
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template = 'test-{random}-'
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prefix = choose_bucket_prefix(template=template)
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if prefix == '':
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raise RuntimeError, "Empty Prefix! Aborting!"
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defaults = config.s3.defaults
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for section in config.s3.keys():
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if section == 'defaults':
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continue
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section_config = config.s3[section]
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kwargs = bunch.Bunch()
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conn_args = bunch.Bunch(
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port = 'port',
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host = 'host',
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is_secure = 'is_secure',
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access_key = 'aws_access_key_id',
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secret_key = 'aws_secret_access_key',
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)
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for cfg_key in conn_args.keys():
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conn_key = conn_args[cfg_key]
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if section_config.has_key(cfg_key):
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kwargs[conn_key] = section_config[cfg_key]
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elif defaults.has_key(cfg_key):
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kwargs[conn_key] = defaults[cfg_key]
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conn = boto.s3.connection.S3Connection(
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# TODO support & test all variations
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calling_format=boto.s3.connection.OrdinaryCallingFormat(),
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**kwargs
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)
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s3[section] = conn
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# WARNING! we actively delete all buckets we see with the prefix
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# we've chosen! Choose your prefix with care, and don't reuse
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# credentials!
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# We also assume nobody else is going to use buckets with that
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# prefix. This is racy but given enough randomness, should not
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# really fail.
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nuke_prefixed_buckets()
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def get_new_bucket(connection=None):
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"""
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Get a bucket that exists and is empty.
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Always recreates a bucket from scratch. This is useful to also
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reset ACLs and such.
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"""
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if connection is None:
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connection = s3.main
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name = '{prefix}{num}'.format(
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prefix=prefix,
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num=next(bucket_counter),
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)
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# the only way for this to fail with a pre-existing bucket is if
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# someone raced us between setup nuke_prefixed_buckets and here;
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# ignore that as astronomically unlikely
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bucket = connection.create_bucket(name)
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return bucket
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if __name__ == '__main__':
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setup()
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59
config.yml.SAMPLE
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59
config.yml.SAMPLE
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fixtures:
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## All the buckets created will start with this prefix;
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## {random} will be filled with random characters to pad
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## the prefix to 30 characters long, and avoid collisions
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bucket prefix: YOURNAMEHERE-{random}-
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file_generation:
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groups:
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## File generation works by creating N groups of files. Each group of
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## files is defined by three elements: number of files, avg(filesize),
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## and stddev(filesize) -- in that order.
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- [1, 2, 3]
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- [4, 5, 6]
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s3:
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## This section contains all the connection information
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defaults:
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## This section contains the defaults for all of the other connections
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## below. You can also place these variables directly there.
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## Replace with e.g. "localhost" to run against local software
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host: s3.amazonaws.com
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## Uncomment the port to use soemthing other than 80
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# port: 8080
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## Say "no" to disable TLS.
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is_secure: yes
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## The tests assume two accounts are defined, "main" and "alt". You
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## may add other connections to be instantianted as well, however
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## any additional ones will not be used unless your tests use them.
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main:
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## The User ID that the S3 provider gives you. For AWS, this is
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## typically a 64-char hexstring.
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user_id: AWS_USER_ID
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## Display name typically looks more like a unix login, "jdoe" etc
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display_name: AWS_DISPLAY_NAME
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## The email for this account.
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email: AWS_EMAIL
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## Replace these with your access keys.
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access_key: AWS_ACCESS_KEY
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secret_key: AWS_SECRET_KEY
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alt:
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## Another user accout, used for ACL-related tests.
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user_id: AWS_USER_ID
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display_name: AWS_DISPLAY_NAME
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email: AWS_EMAIL
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access_key: AWS_ACCESS_KEY
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secret_key: AWS_SECRET_KEY
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PyYAML
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nose >=1.0.0
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boto >=2.0b4
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bunch >=1.0.0
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