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stringlengths 606
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alirizakeles/memopol-core | memopol/reps/api.py | 2 | 2647 | from tastypie import fields
from tastypie.resources import ModelResource
from memopol.reps.models import Party,\
Opinion,\
Representative,\
PartyRepresentative,\
Email,\
CV,\
WebSite,\
OpinionREP
class REPPartyResource(ModelResource):
partyrepresentative_set = fields.ToManyField("memopol.reps.api.REPPartyRepresentativeResource", "partyrepresentative_set")
class Meta:
queryset = Party.objects.all()
class REPOpinionResource(ModelResource):
opinionrep_set = fields.ToManyField("memopol.reps.api.REPOpinionREPResource", "opinionrep_set")
class Meta:
queryset = Opinion.objects.all()
class REPRepresentativeResource(ModelResource):
opinionrep_set = fields.ToManyField("memopol.reps.api.REPOpinionREPResource", "opinionrep_set")
email_set = fields.ToManyField("memopol.reps.api.REPEmailResource", "email_set")
website_set = fields.ToManyField("memopol.reps.api.REPWebSiteResource", "website_set")
cv_set = fields.ToManyField("memopol.reps.api.REPCVResource", "cv_set")
partyrepresentative_set = fields.ToManyField("memopol.reps.api.REPPartyRepresentativeResource", "partyrepresentative_set")
score_set = fields.ToManyField("votes.api.ScoreResource", "score_set")
vote_set = fields.ToManyField("votes.api.VoteResource", "vote_set")
class Meta:
queryset = Representative.objects.all()
class REPPartyRepresentativeResource(ModelResource):
representative = fields.ForeignKey(REPRepresentativeResource, "representative")
party = fields.ForeignKey(REPPartyResource, "party")
class Meta:
queryset = PartyRepresentative.objects.all()
class REPEmailResource(ModelResource):
representative = fields.ForeignKey(REPRepresentativeResource, "representative")
class Meta:
queryset = Email.objects.all()
class REPCVResource(ModelResource):
representative = fields.ForeignKey(REPRepresentativeResource, "representative")
class Meta:
queryset = CV.objects.all()
class REPWebSiteResource(ModelResource):
representative = fields.ForeignKey(REPRepresentativeResource, "representative")
class Meta:
queryset = WebSite.objects.all()
class REPOpinionREPResource(ModelResource):
representative = fields.ForeignKey(REPRepresentativeResource, "representative")
opinion = fields.ForeignKey(REPOpinionResource, "opinion")
class Meta:
queryset = OpinionREP.objects.all()
| gpl-3.0 |
ndtran/compassion-switzerland | sponsorship_switzerland/__openerp__.py | 2 | 1853 | # -*- encoding: utf-8 -*-
##############################################################################
#
# ______ Releasing children from poverty _
# / ____/___ ____ ___ ____ ____ ___________(_)___ ____
# / / / __ \/ __ `__ \/ __ \/ __ `/ ___/ ___/ / __ \/ __ \
# / /___/ /_/ / / / / / / /_/ / /_/ (__ |__ ) / /_/ / / / /
# \____/\____/_/ /_/ /_/ .___/\__,_/____/____/_/\____/_/ /_/
# /_/
# in Jesus' name
#
# Copyright (C) 2015 Compassion CH (http://www.compassion.ch)
# @author: Emanuel Cino <ecino@compassion.ch>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
{
'name': 'Tailor Sponsorships to Compassion CH needs',
'version': '1.0',
'category': 'Other',
'author': 'Compassion CH',
'website': 'http://www.compassion.ch',
'depends': ['sponsorship_tracking'],
'data': [
'view/contracts_view.xml',
'data/install.xml'],
'js': ['static/src/js/sponsorship_tracking_kanban.js'],
'demo': [],
'installable': True,
'auto_install': False,
}
| agpl-3.0 |
redhat-openstack/swift | swift/common/middleware/cname_lookup.py | 29 | 6766 | # Copyright (c) 2010-2012 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
CNAME Lookup Middleware
Middleware that translates an unknown domain in the host header to
something that ends with the configured storage_domain by looking up
the given domain's CNAME record in DNS.
This middleware will continue to follow a CNAME chain in DNS until it finds
a record ending in the configured storage domain or it reaches the configured
maximum lookup depth. If a match is found, the environment's Host header is
rewritten and the request is passed further down the WSGI chain.
"""
from six.moves import range
import socket
from swift import gettext_ as _
try:
import dns.resolver
from dns.exception import DNSException
from dns.resolver import NXDOMAIN, NoAnswer
except ImportError:
# catch this to allow docs to be built without the dependency
MODULE_DEPENDENCY_MET = False
else: # executed if the try block finishes with no errors
MODULE_DEPENDENCY_MET = True
from swift.common.swob import Request, HTTPBadRequest
from swift.common.utils import cache_from_env, get_logger, list_from_csv
def lookup_cname(domain): # pragma: no cover
"""
Given a domain, returns its DNS CNAME mapping and DNS ttl.
:param domain: domain to query on
:returns: (ttl, result)
"""
try:
answer = dns.resolver.query(domain, 'CNAME').rrset
ttl = answer.ttl
result = answer.items[0].to_text()
result = result.rstrip('.')
return ttl, result
except (DNSException, NXDOMAIN, NoAnswer):
return 0, None
def is_ip(domain):
try:
socket.inet_pton(socket.AF_INET, domain)
return True
except socket.error:
try:
socket.inet_pton(socket.AF_INET6, domain)
return True
except socket.error:
return False
class CNAMELookupMiddleware(object):
"""
CNAME Lookup Middleware
See above for a full description.
:param app: The next WSGI filter or app in the paste.deploy
chain.
:param conf: The configuration dict for the middleware.
"""
def __init__(self, app, conf):
if not MODULE_DEPENDENCY_MET:
# reraise the exception if the dependency wasn't met
raise ImportError('dnspython is required for this module')
self.app = app
storage_domain = conf.get('storage_domain', 'example.com')
self.storage_domain = ['.' + s for s in
list_from_csv(storage_domain)
if not s.startswith('.')]
self.storage_domain += [s for s in list_from_csv(storage_domain)
if s.startswith('.')]
self.lookup_depth = int(conf.get('lookup_depth', '1'))
self.memcache = None
self.logger = get_logger(conf, log_route='cname-lookup')
def _domain_endswith_in_storage_domain(self, a_domain):
for domain in self.storage_domain:
if a_domain.endswith(domain):
return True
return False
def __call__(self, env, start_response):
if not self.storage_domain:
return self.app(env, start_response)
if 'HTTP_HOST' in env:
given_domain = env['HTTP_HOST']
else:
given_domain = env['SERVER_NAME']
port = ''
if ':' in given_domain:
given_domain, port = given_domain.rsplit(':', 1)
if is_ip(given_domain):
return self.app(env, start_response)
a_domain = given_domain
if not self._domain_endswith_in_storage_domain(a_domain):
if self.memcache is None:
self.memcache = cache_from_env(env)
error = True
for tries in range(self.lookup_depth):
found_domain = None
if self.memcache:
memcache_key = ''.join(['cname-', a_domain])
found_domain = self.memcache.get(memcache_key)
if not found_domain:
ttl, found_domain = lookup_cname(a_domain)
if self.memcache:
memcache_key = ''.join(['cname-', given_domain])
self.memcache.set(memcache_key, found_domain,
time=ttl)
if found_domain is None or found_domain == a_domain:
# no CNAME records or we're at the last lookup
error = True
found_domain = None
break
elif self._domain_endswith_in_storage_domain(found_domain):
# Found it!
self.logger.info(
_('Mapped %(given_domain)s to %(found_domain)s') %
{'given_domain': given_domain,
'found_domain': found_domain})
if port:
env['HTTP_HOST'] = ':'.join([found_domain, port])
else:
env['HTTP_HOST'] = found_domain
error = False
break
else:
# try one more deep in the chain
self.logger.debug(
_('Following CNAME chain for '
'%(given_domain)s to %(found_domain)s') %
{'given_domain': given_domain,
'found_domain': found_domain})
a_domain = found_domain
if error:
if found_domain:
msg = 'CNAME lookup failed after %d tries' % \
self.lookup_depth
else:
msg = 'CNAME lookup failed to resolve to a valid domain'
resp = HTTPBadRequest(request=Request(env), body=msg,
content_type='text/plain')
return resp(env, start_response)
return self.app(env, start_response)
def filter_factory(global_conf, **local_conf): # pragma: no cover
conf = global_conf.copy()
conf.update(local_conf)
def cname_filter(app):
return CNAMELookupMiddleware(app, conf)
return cname_filter
| apache-2.0 |
tzewangdorje/SIPserv | Twisted-13.1.0/twisted/test/test_hook.py | 41 | 4250 |
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Test cases for twisted.hook module.
"""
from twisted.python import hook
from twisted.trial import unittest
class BaseClass:
"""
dummy class to help in testing.
"""
def __init__(self):
"""
dummy initializer
"""
self.calledBasePre = 0
self.calledBasePost = 0
self.calledBase = 0
def func(self, a, b):
"""
dummy method
"""
assert a == 1
assert b == 2
self.calledBase = self.calledBase + 1
class SubClass(BaseClass):
"""
another dummy class
"""
def __init__(self):
"""
another dummy initializer
"""
BaseClass.__init__(self)
self.calledSubPre = 0
self.calledSubPost = 0
self.calledSub = 0
def func(self, a, b):
"""
another dummy function
"""
assert a == 1
assert b == 2
BaseClass.func(self, a, b)
self.calledSub = self.calledSub + 1
_clean_BaseClass = BaseClass.__dict__.copy()
_clean_SubClass = SubClass.__dict__.copy()
def basePre(base, a, b):
"""
a pre-hook for the base class
"""
base.calledBasePre = base.calledBasePre + 1
def basePost(base, a, b):
"""
a post-hook for the base class
"""
base.calledBasePost = base.calledBasePost + 1
def subPre(sub, a, b):
"""
a pre-hook for the subclass
"""
sub.calledSubPre = sub.calledSubPre + 1
def subPost(sub, a, b):
"""
a post-hook for the subclass
"""
sub.calledSubPost = sub.calledSubPost + 1
class HookTestCase(unittest.TestCase):
"""
test case to make sure hooks are called
"""
def setUp(self):
"""Make sure we have clean versions of our classes."""
BaseClass.__dict__.clear()
BaseClass.__dict__.update(_clean_BaseClass)
SubClass.__dict__.clear()
SubClass.__dict__.update(_clean_SubClass)
def testBaseHook(self):
"""make sure that the base class's hook is called reliably
"""
base = BaseClass()
self.assertEqual(base.calledBase, 0)
self.assertEqual(base.calledBasePre, 0)
base.func(1,2)
self.assertEqual(base.calledBase, 1)
self.assertEqual(base.calledBasePre, 0)
hook.addPre(BaseClass, "func", basePre)
base.func(1, b=2)
self.assertEqual(base.calledBase, 2)
self.assertEqual(base.calledBasePre, 1)
hook.addPost(BaseClass, "func", basePost)
base.func(1, b=2)
self.assertEqual(base.calledBasePost, 1)
self.assertEqual(base.calledBase, 3)
self.assertEqual(base.calledBasePre, 2)
hook.removePre(BaseClass, "func", basePre)
hook.removePost(BaseClass, "func", basePost)
base.func(1, b=2)
self.assertEqual(base.calledBasePost, 1)
self.assertEqual(base.calledBase, 4)
self.assertEqual(base.calledBasePre, 2)
def testSubHook(self):
"""test interactions between base-class hooks and subclass hooks
"""
sub = SubClass()
self.assertEqual(sub.calledSub, 0)
self.assertEqual(sub.calledBase, 0)
sub.func(1, b=2)
self.assertEqual(sub.calledSub, 1)
self.assertEqual(sub.calledBase, 1)
hook.addPre(SubClass, 'func', subPre)
self.assertEqual(sub.calledSub, 1)
self.assertEqual(sub.calledBase, 1)
self.assertEqual(sub.calledSubPre, 0)
self.assertEqual(sub.calledBasePre, 0)
sub.func(1, b=2)
self.assertEqual(sub.calledSub, 2)
self.assertEqual(sub.calledBase, 2)
self.assertEqual(sub.calledSubPre, 1)
self.assertEqual(sub.calledBasePre, 0)
# let the pain begin
hook.addPre(BaseClass, 'func', basePre)
BaseClass.func(sub, 1, b=2)
# sub.func(1, b=2)
self.assertEqual(sub.calledBase, 3)
self.assertEqual(sub.calledBasePre, 1, str(sub.calledBasePre))
sub.func(1, b=2)
self.assertEqual(sub.calledBasePre, 2)
self.assertEqual(sub.calledBase, 4)
self.assertEqual(sub.calledSubPre, 2)
self.assertEqual(sub.calledSub, 3)
testCases = [HookTestCase]
| gpl-3.0 |
cursesun/scrapy | tests/test_commands.py | 105 | 8613 | import os
import sys
import subprocess
import tempfile
from time import sleep
from os.path import exists, join, abspath
from shutil import rmtree
from tempfile import mkdtemp
from twisted.trial import unittest
from twisted.internet import defer
from scrapy.utils.python import retry_on_eintr
from scrapy.utils.test import get_testenv
from scrapy.utils.testsite import SiteTest
from scrapy.utils.testproc import ProcessTest
class ProjectTest(unittest.TestCase):
project_name = 'testproject'
def setUp(self):
self.temp_path = mkdtemp()
self.cwd = self.temp_path
self.proj_path = join(self.temp_path, self.project_name)
self.proj_mod_path = join(self.proj_path, self.project_name)
self.env = get_testenv()
def tearDown(self):
rmtree(self.temp_path)
def call(self, *new_args, **kwargs):
with tempfile.TemporaryFile() as out:
args = (sys.executable, '-m', 'scrapy.cmdline') + new_args
return subprocess.call(args, stdout=out, stderr=out, cwd=self.cwd,
env=self.env, **kwargs)
def proc(self, *new_args, **kwargs):
args = (sys.executable, '-m', 'scrapy.cmdline') + new_args
p = subprocess.Popen(args, cwd=self.cwd, env=self.env,
stdout=subprocess.PIPE, stderr=subprocess.PIPE,
**kwargs)
waited = 0
interval = 0.2
while p.poll() is None:
sleep(interval)
waited += interval
if waited > 15:
p.kill()
assert False, 'Command took too much time to complete'
return p
class StartprojectTest(ProjectTest):
def test_startproject(self):
self.assertEqual(0, self.call('startproject', self.project_name))
assert exists(join(self.proj_path, 'scrapy.cfg'))
assert exists(join(self.proj_path, 'testproject'))
assert exists(join(self.proj_mod_path, '__init__.py'))
assert exists(join(self.proj_mod_path, 'items.py'))
assert exists(join(self.proj_mod_path, 'pipelines.py'))
assert exists(join(self.proj_mod_path, 'settings.py'))
assert exists(join(self.proj_mod_path, 'spiders', '__init__.py'))
self.assertEqual(1, self.call('startproject', self.project_name))
self.assertEqual(1, self.call('startproject', 'wrong---project---name'))
self.assertEqual(1, self.call('startproject', 'sys'))
class CommandTest(ProjectTest):
def setUp(self):
super(CommandTest, self).setUp()
self.call('startproject', self.project_name)
self.cwd = join(self.temp_path, self.project_name)
self.env['SCRAPY_SETTINGS_MODULE'] = '%s.settings' % self.project_name
class GenspiderCommandTest(CommandTest):
def test_arguments(self):
# only pass one argument. spider script shouldn't be created
self.assertEqual(2, self.call('genspider', 'test_name'))
assert not exists(join(self.proj_mod_path, 'spiders', 'test_name.py'))
# pass two arguments <name> <domain>. spider script should be created
self.assertEqual(0, self.call('genspider', 'test_name', 'test.com'))
assert exists(join(self.proj_mod_path, 'spiders', 'test_name.py'))
def test_template(self, tplname='crawl'):
args = ['--template=%s' % tplname] if tplname else []
spname = 'test_spider'
p = self.proc('genspider', spname, 'test.com', *args)
out = retry_on_eintr(p.stdout.read)
self.assertIn("Created spider %r using template %r in module" % (spname, tplname), out)
self.assertTrue(exists(join(self.proj_mod_path, 'spiders', 'test_spider.py')))
p = self.proc('genspider', spname, 'test.com', *args)
out = retry_on_eintr(p.stdout.read)
self.assertIn("Spider %r already exists in module" % spname, out)
def test_template_basic(self):
self.test_template('basic')
def test_template_csvfeed(self):
self.test_template('csvfeed')
def test_template_xmlfeed(self):
self.test_template('xmlfeed')
def test_list(self):
self.assertEqual(0, self.call('genspider', '--list'))
def test_dump(self):
self.assertEqual(0, self.call('genspider', '--dump=basic'))
self.assertEqual(0, self.call('genspider', '-d', 'basic'))
def test_same_name_as_project(self):
self.assertEqual(2, self.call('genspider', self.project_name))
assert not exists(join(self.proj_mod_path, 'spiders', '%s.py' % self.project_name))
class MiscCommandsTest(CommandTest):
def test_list(self):
self.assertEqual(0, self.call('list'))
class RunSpiderCommandTest(CommandTest):
def test_runspider(self):
tmpdir = self.mktemp()
os.mkdir(tmpdir)
fname = abspath(join(tmpdir, 'myspider.py'))
with open(fname, 'w') as f:
f.write("""
import scrapy
class MySpider(scrapy.Spider):
name = 'myspider'
def start_requests(self):
self.logger.debug("It Works!")
return []
""")
p = self.proc('runspider', fname)
log = p.stderr.read()
self.assertIn("DEBUG: It Works!", log)
self.assertIn("INFO: Spider opened", log)
self.assertIn("INFO: Closing spider (finished)", log)
self.assertIn("INFO: Spider closed (finished)", log)
def test_runspider_no_spider_found(self):
tmpdir = self.mktemp()
os.mkdir(tmpdir)
fname = abspath(join(tmpdir, 'myspider.py'))
with open(fname, 'w') as f:
f.write("""
from scrapy.spiders import Spider
""")
p = self.proc('runspider', fname)
log = p.stderr.read()
self.assertIn("No spider found in file", log)
def test_runspider_file_not_found(self):
p = self.proc('runspider', 'some_non_existent_file')
log = p.stderr.read()
self.assertIn("File not found: some_non_existent_file", log)
def test_runspider_unable_to_load(self):
tmpdir = self.mktemp()
os.mkdir(tmpdir)
fname = abspath(join(tmpdir, 'myspider.txt'))
with open(fname, 'w') as f:
f.write("")
p = self.proc('runspider', fname)
log = p.stderr.read()
self.assertIn("Unable to load", log)
class ParseCommandTest(ProcessTest, SiteTest, CommandTest):
command = 'parse'
def setUp(self):
super(ParseCommandTest, self).setUp()
self.spider_name = 'parse_spider'
fname = abspath(join(self.proj_mod_path, 'spiders', 'myspider.py'))
with open(fname, 'w') as f:
f.write("""
import scrapy
class MySpider(scrapy.Spider):
name = '{0}'
def parse(self, response):
if getattr(self, 'test_arg', None):
self.logger.debug('It Works!')
return [scrapy.Item(), dict(foo='bar')]
""".format(self.spider_name))
fname = abspath(join(self.proj_mod_path, 'pipelines.py'))
with open(fname, 'w') as f:
f.write("""
import logging
class MyPipeline(object):
component_name = 'my_pipeline'
def process_item(self, item, spider):
logging.info('It Works!')
return item
""")
fname = abspath(join(self.proj_mod_path, 'settings.py'))
with open(fname, 'a') as f:
f.write("""
ITEM_PIPELINES = {'%s.pipelines.MyPipeline': 1}
""" % self.project_name)
@defer.inlineCallbacks
def test_spider_arguments(self):
_, _, stderr = yield self.execute(['--spider', self.spider_name,
'-a', 'test_arg=1',
'-c', 'parse',
self.url('/html')])
self.assertIn("DEBUG: It Works!", stderr)
@defer.inlineCallbacks
def test_pipelines(self):
_, _, stderr = yield self.execute(['--spider', self.spider_name,
'--pipelines',
'-c', 'parse',
self.url('/html')])
self.assertIn("INFO: It Works!", stderr)
@defer.inlineCallbacks
def test_parse_items(self):
status, out, stderr = yield self.execute(
['--spider', self.spider_name, '-c', 'parse', self.url('/html')]
)
self.assertIn("""[{}, {'foo': 'bar'}]""", out)
class BenchCommandTest(CommandTest):
def test_run(self):
p = self.proc('bench', '-s', 'LOGSTATS_INTERVAL=0.001',
'-s', 'CLOSESPIDER_TIMEOUT=0.01')
log = p.stderr.read()
self.assertIn('INFO: Crawled', log)
| bsd-3-clause |
xyguo/scikit-learn | examples/svm/plot_svm_nonlinear.py | 268 | 1091 | """
==============
Non-linear SVM
==============
Perform binary classification using non-linear SVC
with RBF kernel. The target to predict is a XOR of the
inputs.
The color map illustrates the decision function learned by the SVC.
"""
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm
xx, yy = np.meshgrid(np.linspace(-3, 3, 500),
np.linspace(-3, 3, 500))
np.random.seed(0)
X = np.random.randn(300, 2)
Y = np.logical_xor(X[:, 0] > 0, X[:, 1] > 0)
# fit the model
clf = svm.NuSVC()
clf.fit(X, Y)
# plot the decision function for each datapoint on the grid
Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])
Z = Z.reshape(xx.shape)
plt.imshow(Z, interpolation='nearest',
extent=(xx.min(), xx.max(), yy.min(), yy.max()), aspect='auto',
origin='lower', cmap=plt.cm.PuOr_r)
contours = plt.contour(xx, yy, Z, levels=[0], linewidths=2,
linetypes='--')
plt.scatter(X[:, 0], X[:, 1], s=30, c=Y, cmap=plt.cm.Paired)
plt.xticks(())
plt.yticks(())
plt.axis([-3, 3, -3, 3])
plt.show()
| bsd-3-clause |
dbremner/bite-project | deps/gdata-python-client/src/gdata/blogger/data.py | 61 | 4551 | #!/usr/bin/env python
#
# Copyright (C) 2009 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Data model classes for parsing and generating XML for the Blogger API."""
__author__ = 'j.s@google.com (Jeff Scudder)'
import re
import urlparse
import atom.core
import gdata.data
LABEL_SCHEME = 'http://www.blogger.com/atom/ns#'
THR_TEMPLATE = '{http://purl.org/syndication/thread/1.0}%s'
BLOG_NAME_PATTERN = re.compile('(http://)(\w*)')
BLOG_ID_PATTERN = re.compile('(tag:blogger.com,1999:blog-)(\w*)')
BLOG_ID2_PATTERN = re.compile('tag:blogger.com,1999:user-(\d+)\.blog-(\d+)')
POST_ID_PATTERN = re.compile(
'(tag:blogger.com,1999:blog-)(\w*)(.post-)(\w*)')
PAGE_ID_PATTERN = re.compile(
'(tag:blogger.com,1999:blog-)(\w*)(.page-)(\w*)')
COMMENT_ID_PATTERN = re.compile('.*-(\w*)$')
class BloggerEntry(gdata.data.GDEntry):
"""Adds convenience methods inherited by all Blogger entries."""
def get_blog_id(self):
"""Extracts the Blogger id of this blog.
This method is useful when contructing URLs by hand. The blog id is
often used in blogger operation URLs. This should not be confused with
the id member of a BloggerBlog. The id element is the Atom id XML element.
The blog id which this method returns is a part of the Atom id.
Returns:
The blog's unique id as a string.
"""
if self.id.text:
match = BLOG_ID_PATTERN.match(self.id.text)
if match:
return match.group(2)
else:
return BLOG_ID2_PATTERN.match(self.id.text).group(2)
return None
GetBlogId = get_blog_id
def get_blog_name(self):
"""Finds the name of this blog as used in the 'alternate' URL.
An alternate URL is in the form 'http://blogName.blogspot.com/'. For an
entry representing the above example, this method would return 'blogName'.
Returns:
The blog's URL name component as a string.
"""
for link in self.link:
if link.rel == 'alternate':
return urlparse.urlparse(link.href)[1].split(".", 1)[0]
return None
GetBlogName = get_blog_name
class Blog(BloggerEntry):
"""Represents a blog which belongs to the user."""
class BlogFeed(gdata.data.GDFeed):
entry = [Blog]
class BlogPost(BloggerEntry):
"""Represents a single post on a blog."""
def add_label(self, label):
"""Adds a label to the blog post.
The label is represented by an Atom category element, so this method
is shorthand for appending a new atom.Category object.
Args:
label: str
"""
self.category.append(atom.data.Category(scheme=LABEL_SCHEME, term=label))
AddLabel = add_label
def get_post_id(self):
"""Extracts the postID string from the entry's Atom id.
Returns: A string of digits which identify this post within the blog.
"""
if self.id.text:
return POST_ID_PATTERN.match(self.id.text).group(4)
return None
GetPostId = get_post_id
class BlogPostFeed(gdata.data.GDFeed):
entry = [BlogPost]
class BlogPage(BloggerEntry):
"""Represents a single page on a blog."""
def get_page_id(self):
"""Extracts the pageID string from entry's Atom id.
Returns: A string of digits which identify this post within the blog.
"""
if self.id.text:
return PAGE_ID_PATTERN.match(self.id.text).group(4)
return None
GetPageId = get_page_id
class BlogPageFeed(gdata.data.GDFeed):
entry = [BlogPage]
class InReplyTo(atom.core.XmlElement):
_qname = THR_TEMPLATE % 'in-reply-to'
href = 'href'
ref = 'ref'
source = 'source'
type = 'type'
class Comment(BloggerEntry):
"""Blog post comment entry in a feed listing comments on a post or blog."""
in_reply_to = InReplyTo
def get_comment_id(self):
"""Extracts the commentID string from the entry's Atom id.
Returns: A string of digits which identify this post within the blog.
"""
if self.id.text:
return COMMENT_ID_PATTERN.match(self.id.text).group(1)
return None
GetCommentId = get_comment_id
class CommentFeed(gdata.data.GDFeed):
entry = [Comment]
| apache-2.0 |
qenter/vlc-android | toolchains/arm/lib/python2.7/test/test_descrtut.py | 75 | 12052 | # This contains most of the executable examples from Guido's descr
# tutorial, once at
#
# http://www.python.org/2.2/descrintro.html
#
# A few examples left implicit in the writeup were fleshed out, a few were
# skipped due to lack of interest (e.g., faking super() by hand isn't
# of much interest anymore), and a few were fiddled to make the output
# deterministic.
from test.test_support import sortdict
import pprint
class defaultdict(dict):
def __init__(self, default=None):
dict.__init__(self)
self.default = default
def __getitem__(self, key):
try:
return dict.__getitem__(self, key)
except KeyError:
return self.default
def get(self, key, *args):
if not args:
args = (self.default,)
return dict.get(self, key, *args)
def merge(self, other):
for key in other:
if key not in self:
self[key] = other[key]
test_1 = """
Here's the new type at work:
>>> print defaultdict # show our type
<class 'test.test_descrtut.defaultdict'>
>>> print type(defaultdict) # its metatype
<type 'type'>
>>> a = defaultdict(default=0.0) # create an instance
>>> print a # show the instance
{}
>>> print type(a) # show its type
<class 'test.test_descrtut.defaultdict'>
>>> print a.__class__ # show its class
<class 'test.test_descrtut.defaultdict'>
>>> print type(a) is a.__class__ # its type is its class
True
>>> a[1] = 3.25 # modify the instance
>>> print a # show the new value
{1: 3.25}
>>> print a[1] # show the new item
3.25
>>> print a[0] # a non-existent item
0.0
>>> a.merge({1:100, 2:200}) # use a dict method
>>> print sortdict(a) # show the result
{1: 3.25, 2: 200}
>>>
We can also use the new type in contexts where classic only allows "real"
dictionaries, such as the locals/globals dictionaries for the exec
statement or the built-in function eval():
>>> def sorted(seq):
... seq.sort(key=str)
... return seq
>>> print sorted(a.keys())
[1, 2]
>>> exec "x = 3; print x" in a
3
>>> print sorted(a.keys())
[1, 2, '__builtins__', 'x']
>>> print a['x']
3
>>>
Now I'll show that defaultdict instances have dynamic instance variables,
just like classic classes:
>>> a.default = -1
>>> print a["noway"]
-1
>>> a.default = -1000
>>> print a["noway"]
-1000
>>> 'default' in dir(a)
True
>>> a.x1 = 100
>>> a.x2 = 200
>>> print a.x1
100
>>> d = dir(a)
>>> 'default' in d and 'x1' in d and 'x2' in d
True
>>> print sortdict(a.__dict__)
{'default': -1000, 'x1': 100, 'x2': 200}
>>>
"""
class defaultdict2(dict):
__slots__ = ['default']
def __init__(self, default=None):
dict.__init__(self)
self.default = default
def __getitem__(self, key):
try:
return dict.__getitem__(self, key)
except KeyError:
return self.default
def get(self, key, *args):
if not args:
args = (self.default,)
return dict.get(self, key, *args)
def merge(self, other):
for key in other:
if key not in self:
self[key] = other[key]
test_2 = """
The __slots__ declaration takes a list of instance variables, and reserves
space for exactly these in the instance. When __slots__ is used, other
instance variables cannot be assigned to:
>>> a = defaultdict2(default=0.0)
>>> a[1]
0.0
>>> a.default = -1
>>> a[1]
-1
>>> a.x1 = 1
Traceback (most recent call last):
File "<stdin>", line 1, in ?
AttributeError: 'defaultdict2' object has no attribute 'x1'
>>>
"""
test_3 = """
Introspecting instances of built-in types
For instance of built-in types, x.__class__ is now the same as type(x):
>>> type([])
<type 'list'>
>>> [].__class__
<type 'list'>
>>> list
<type 'list'>
>>> isinstance([], list)
True
>>> isinstance([], dict)
False
>>> isinstance([], object)
True
>>>
Under the new proposal, the __methods__ attribute no longer exists:
>>> [].__methods__
Traceback (most recent call last):
File "<stdin>", line 1, in ?
AttributeError: 'list' object has no attribute '__methods__'
>>>
Instead, you can get the same information from the list type:
>>> pprint.pprint(dir(list)) # like list.__dict__.keys(), but sorted
['__add__',
'__class__',
'__contains__',
'__delattr__',
'__delitem__',
'__delslice__',
'__doc__',
'__eq__',
'__format__',
'__ge__',
'__getattribute__',
'__getitem__',
'__getslice__',
'__gt__',
'__hash__',
'__iadd__',
'__imul__',
'__init__',
'__iter__',
'__le__',
'__len__',
'__lt__',
'__mul__',
'__ne__',
'__new__',
'__reduce__',
'__reduce_ex__',
'__repr__',
'__reversed__',
'__rmul__',
'__setattr__',
'__setitem__',
'__setslice__',
'__sizeof__',
'__str__',
'__subclasshook__',
'append',
'count',
'extend',
'index',
'insert',
'pop',
'remove',
'reverse',
'sort']
The new introspection API gives more information than the old one: in
addition to the regular methods, it also shows the methods that are
normally invoked through special notations, e.g. __iadd__ (+=), __len__
(len), __ne__ (!=). You can invoke any method from this list directly:
>>> a = ['tic', 'tac']
>>> list.__len__(a) # same as len(a)
2
>>> a.__len__() # ditto
2
>>> list.append(a, 'toe') # same as a.append('toe')
>>> a
['tic', 'tac', 'toe']
>>>
This is just like it is for user-defined classes.
"""
test_4 = """
Static methods and class methods
The new introspection API makes it possible to add static methods and class
methods. Static methods are easy to describe: they behave pretty much like
static methods in C++ or Java. Here's an example:
>>> class C:
...
... @staticmethod
... def foo(x, y):
... print "staticmethod", x, y
>>> C.foo(1, 2)
staticmethod 1 2
>>> c = C()
>>> c.foo(1, 2)
staticmethod 1 2
Class methods use a similar pattern to declare methods that receive an
implicit first argument that is the *class* for which they are invoked.
>>> class C:
... @classmethod
... def foo(cls, y):
... print "classmethod", cls, y
>>> C.foo(1)
classmethod test.test_descrtut.C 1
>>> c = C()
>>> c.foo(1)
classmethod test.test_descrtut.C 1
>>> class D(C):
... pass
>>> D.foo(1)
classmethod test.test_descrtut.D 1
>>> d = D()
>>> d.foo(1)
classmethod test.test_descrtut.D 1
This prints "classmethod __main__.D 1" both times; in other words, the
class passed as the first argument of foo() is the class involved in the
call, not the class involved in the definition of foo().
But notice this:
>>> class E(C):
... @classmethod
... def foo(cls, y): # override C.foo
... print "E.foo() called"
... C.foo(y)
>>> E.foo(1)
E.foo() called
classmethod test.test_descrtut.C 1
>>> e = E()
>>> e.foo(1)
E.foo() called
classmethod test.test_descrtut.C 1
In this example, the call to C.foo() from E.foo() will see class C as its
first argument, not class E. This is to be expected, since the call
specifies the class C. But it stresses the difference between these class
methods and methods defined in metaclasses (where an upcall to a metamethod
would pass the target class as an explicit first argument).
"""
test_5 = """
Attributes defined by get/set methods
>>> class property(object):
...
... def __init__(self, get, set=None):
... self.__get = get
... self.__set = set
...
... def __get__(self, inst, type=None):
... return self.__get(inst)
...
... def __set__(self, inst, value):
... if self.__set is None:
... raise AttributeError, "this attribute is read-only"
... return self.__set(inst, value)
Now let's define a class with an attribute x defined by a pair of methods,
getx() and setx():
>>> class C(object):
...
... def __init__(self):
... self.__x = 0
...
... def getx(self):
... return self.__x
...
... def setx(self, x):
... if x < 0: x = 0
... self.__x = x
...
... x = property(getx, setx)
Here's a small demonstration:
>>> a = C()
>>> a.x = 10
>>> print a.x
10
>>> a.x = -10
>>> print a.x
0
>>>
Hmm -- property is builtin now, so let's try it that way too.
>>> del property # unmask the builtin
>>> property
<type 'property'>
>>> class C(object):
... def __init__(self):
... self.__x = 0
... def getx(self):
... return self.__x
... def setx(self, x):
... if x < 0: x = 0
... self.__x = x
... x = property(getx, setx)
>>> a = C()
>>> a.x = 10
>>> print a.x
10
>>> a.x = -10
>>> print a.x
0
>>>
"""
test_6 = """
Method resolution order
This example is implicit in the writeup.
>>> class A: # classic class
... def save(self):
... print "called A.save()"
>>> class B(A):
... pass
>>> class C(A):
... def save(self):
... print "called C.save()"
>>> class D(B, C):
... pass
>>> D().save()
called A.save()
>>> class A(object): # new class
... def save(self):
... print "called A.save()"
>>> class B(A):
... pass
>>> class C(A):
... def save(self):
... print "called C.save()"
>>> class D(B, C):
... pass
>>> D().save()
called C.save()
"""
class A(object):
def m(self):
return "A"
class B(A):
def m(self):
return "B" + super(B, self).m()
class C(A):
def m(self):
return "C" + super(C, self).m()
class D(C, B):
def m(self):
return "D" + super(D, self).m()
test_7 = """
Cooperative methods and "super"
>>> print D().m() # "DCBA"
DCBA
"""
test_8 = """
Backwards incompatibilities
>>> class A:
... def foo(self):
... print "called A.foo()"
>>> class B(A):
... pass
>>> class C(A):
... def foo(self):
... B.foo(self)
>>> C().foo()
Traceback (most recent call last):
...
TypeError: unbound method foo() must be called with B instance as first argument (got C instance instead)
>>> class C(A):
... def foo(self):
... A.foo(self)
>>> C().foo()
called A.foo()
"""
__test__ = {"tut1": test_1,
"tut2": test_2,
"tut3": test_3,
"tut4": test_4,
"tut5": test_5,
"tut6": test_6,
"tut7": test_7,
"tut8": test_8}
# Magic test name that regrtest.py invokes *after* importing this module.
# This worms around a bootstrap problem.
# Note that doctest and regrtest both look in sys.argv for a "-v" argument,
# so this works as expected in both ways of running regrtest.
def test_main(verbose=None):
# Obscure: import this module as test.test_descrtut instead of as
# plain test_descrtut because the name of this module works its way
# into the doctest examples, and unless the full test.test_descrtut
# business is used the name can change depending on how the test is
# invoked.
from test import test_support, test_descrtut
test_support.run_doctest(test_descrtut, verbose)
# This part isn't needed for regrtest, but for running the test directly.
if __name__ == "__main__":
test_main(1)
| gpl-2.0 |
xxhank/namebench | nb_third_party/jinja2/meta.py | 406 | 4144 | # -*- coding: utf-8 -*-
"""
jinja2.meta
~~~~~~~~~~~
This module implements various functions that exposes information about
templates that might be interesting for various kinds of applications.
:copyright: (c) 2010 by the Jinja Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from jinja2 import nodes
from jinja2.compiler import CodeGenerator
class TrackingCodeGenerator(CodeGenerator):
"""We abuse the code generator for introspection."""
def __init__(self, environment):
CodeGenerator.__init__(self, environment, '<introspection>',
'<introspection>')
self.undeclared_identifiers = set()
def write(self, x):
"""Don't write."""
def pull_locals(self, frame):
"""Remember all undeclared identifiers."""
self.undeclared_identifiers.update(frame.identifiers.undeclared)
def find_undeclared_variables(ast):
"""Returns a set of all variables in the AST that will be looked up from
the context at runtime. Because at compile time it's not known which
variables will be used depending on the path the execution takes at
runtime, all variables are returned.
>>> from jinja2 import Environment, meta
>>> env = Environment()
>>> ast = env.parse('{% set foo = 42 %}{{ bar + foo }}')
>>> meta.find_undeclared_variables(ast)
set(['bar'])
.. admonition:: Implementation
Internally the code generator is used for finding undeclared variables.
This is good to know because the code generator might raise a
:exc:`TemplateAssertionError` during compilation and as a matter of
fact this function can currently raise that exception as well.
"""
codegen = TrackingCodeGenerator(ast.environment)
codegen.visit(ast)
return codegen.undeclared_identifiers
def find_referenced_templates(ast):
"""Finds all the referenced templates from the AST. This will return an
iterator over all the hardcoded template extensions, inclusions and
imports. If dynamic inheritance or inclusion is used, `None` will be
yielded.
>>> from jinja2 import Environment, meta
>>> env = Environment()
>>> ast = env.parse('{% extends "layout.html" %}{% include helper %}')
>>> list(meta.find_referenced_templates(ast))
['layout.html', None]
This function is useful for dependency tracking. For example if you want
to rebuild parts of the website after a layout template has changed.
"""
for node in ast.find_all((nodes.Extends, nodes.FromImport, nodes.Import,
nodes.Include)):
if not isinstance(node.template, nodes.Const):
# a tuple with some non consts in there
if isinstance(node.template, (nodes.Tuple, nodes.List)):
for template_name in node.template.items:
# something const, only yield the strings and ignore
# non-string consts that really just make no sense
if isinstance(template_name, nodes.Const):
if isinstance(template_name.value, basestring):
yield template_name.value
# something dynamic in there
else:
yield None
# something dynamic we don't know about here
else:
yield None
continue
# constant is a basestring, direct template name
if isinstance(node.template.value, basestring):
yield node.template.value
# a tuple or list (latter *should* not happen) made of consts,
# yield the consts that are strings. We could warn here for
# non string values
elif isinstance(node, nodes.Include) and \
isinstance(node.template.value, (tuple, list)):
for template_name in node.template.value:
if isinstance(template_name, basestring):
yield template_name
# something else we don't care about, we could warn here
else:
yield None
| apache-2.0 |
Luxoft/Twister | binaries/GitPlugin/Git/GITPlugin.py | 3 | 9694 |
# version: 2.006
import os, sys
import shutil
import time
import pexpect
from BasePlugin import BasePlugin
#
class Plugin(BasePlugin):
"""
GIT Plugin has a few parameters:
- server complete path
- branch used for clone
- user and password to connect to server
- snapshot folder, where all data is cloned
If command is Snapshot, execute a GIT clone;
if the Snapshot folder is already present, delete it, then GIT clone.
If command is Update and Overwrite is false, execute a GIT checkout and GIT pull on the specified branch;
if Overwrite is true, delete the folder, then GIT clone for the specified branch.
"""
def run(self, args):
src = self.data.get('server')
dst = self.data.get('snapshot')
if not args.get('command'):
return '*ERROR* Must specify a command like `snapshot` or `update` !'
if args['command'] == ['snapshot']:
return self.execCheckout(src, dst, 'clone', overwrite=True)
elif args['command'] == ['update'] and args['overwrite'] == ['false']:
return self.execCheckout(src, dst, 'pull', overwrite=False)
elif args['command'] == ['update'] and args['overwrite'] == ['true']:
return self.execCheckout(src, dst, 'pull', overwrite=True)
elif args['command'] == ['delete']:
return self.execCheckout('', '', '', overwrite=True)
else:
return 'Invalid command: `{} & {}`!'.format(args['command'], args['overwrite'])
def execCheckout(self, src, dst, command, overwrite=False):
usr = self.data['username']
pwd = self.data['password']
child = pexpect.spawn(['bash'])
child.logfile = sys.stdout
child.sendline('su {}'.format(self.user))
try:
child.expect('.*$')
except Exception as e:
print 'Error: Unable to switch to user {}'.format(self.user)
return 'Error on switching to user {usr}'.format(usr=self.user)
time.sleep(1)
child.sendline('cd')
try:
child.expect('.*')
except Exception as e:
print 'Error: Unable to navigate to the user\'s {} home folder.'.format(self.user)
return 'Error on navigating to user\'s {usr} home folder.'.format(usr=self.user)
time.sleep(1)
if not src:
return '*ERROR* Git source folder is NULL !'
if '//' not in src:
return '*ERROR* Git source folder `{}` is invalid !'.format(src)
if not dst:
return '*ERROR* Git destination folder is NULL !'
src = src.replace('//', '//{}@'.format(usr))
branch = self.data['branch']
if not branch:
return 'You must specify a branch for snapshot/update!'
# Normal Git clone operation
if command == 'clone' or (command == 'pull' and overwrite):
if overwrite and os.path.exists(dst):
print 'GIT Plugin: Deleting folder `{}` ...'.format(dst)
shutil.rmtree(dst, ignore_errors=True)
to_exec = 'git clone -b {branch} {src} {dst}'.format(branch=branch, src=src, dst=dst)
print('GIT Plugin: Exec `{}` .'.format(to_exec.strip()))
child.sendline(to_exec.strip())
try:
i = child.expect(['.*password:','Are you sure.*','Permission denied'], 10)
if i == 0 and pwd:
child.sendline(pwd)
elif i == 1 and pwd:
child.sendline('yes')
time.sleep(1)
try:
child.expect('.*password:')
except Exception as e:
return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format(
cmd=command, src=src, dst=dst, e=e)
time.sleep(1)
child.sendline(pwd)
elif i == 2:
print 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format(
cmd=command, src=src, dst=dst, e='Permission denied!')
return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format(
cmd=command, src=src, dst=dst, e='Permission denied!')
except Exception as e:
return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format(
cmd=command, src=src, dst=dst, e=e)
time.sleep(1)
try:
i = child.expect(['Resolving deltas.*done\.',
'fatal: The remote end hung up unexpectedly',
'Permission denied',
'Could not read from remote repository'], None)
if i == 1:
# fatal: Remote branch branch_name not found in upstream origin
print 'Error on calling GIT clone: {} do not exist.'.format(branch)
return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`)! Branch {br} do not exist!'.format(
cmd=command, src=src, dst=dst,br=branch)
elif i == 2:
# that password is incorrect
print 'Error on calling GIT clone: Incorrect username or password for GIT repository.'
return 'Error on calling GIT clone: Incorrect username or password for GIT repository.'
elif i == 3:
# the path to the repository is incorrect
print 'Error on calling GIT clone: Incorrect path for GIT repository.'
return 'Error on calling GIT clone: Incorrect path for GIT repository.'
except Exception as e:
return 'Error after calling GIT {cmd}: `{e}`!'.format(cmd=command, e=e)
child.sendline('\n\n')
time.sleep(1)
print('-'*40)
# Git pull operation
elif command == 'pull':
if not os.path.exists(dst):
return 'Error: path `{}` does not exist!'.format(dst)
child.sendline('cd {}'.format(dst))
try:
i = child.expect(['Permission denied', 'No such file or directory', '{}'.format(dst)])
if i == 0:
return 'Error: cannot enter in directory: {}. Permission denied!'.format(dst)
elif i == 1:
return 'Error: cannot enter in directory: {}. No such file or directory!'.format(dst)
except Exception as e:
print 'Error: cannot enter in directory: {}'.format(dst)
return 'Error: cannot enter indirectory: `{dst}`!\n{e}'.format(dst=dst, e=e)
time.sleep(1)
to_exec = 'git checkout {}'.format(branch)
print('GIT Plugin: Exec `{}` .'.format(to_exec.strip()))
child.sendline(to_exec.strip())
time.sleep(1)
try:
i = child.expect(['Switched to.*',
'Your branch is up-to-date with',
'error',
'Not a git repository',
'Already on.*'], 30)
if i == 2:
# error: pathspec branch_name did not match any file(s) known to git.
# the specified branch does not exist on the repository
print 'Error on calling GIT checkout: branch {} do not exist.'.format(branch)
return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`)!\n\
Branch `{br}` does not exist!'.format(cmd=command, src=src, dst=dst, br=branch)
elif i == 3:
# fatal: Not a git repository (or any of the parent directories): .git
# Trying to make a checkout without making a clone first
print 'Error on calling GIT checkout: repository {} does not exist.'.format(branch)
return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`)!\n\
Make a snapshot before doing an update!'.format(cmd=command, src=src, dst=dst, br=branch)
except Exception as e:
print 'Error on calling {}. Got unexpected response from GIT.'.format(to_exec)
return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format(
cmd=command, src=src, dst=dst, e=e)
time.sleep(1)
child.sendline('git pull -f')
try:
child.expect('.*password:')
except Exception as e:
print 'Error after calling GIT pull -f'
return 'Error after calling GIT {cmd}: `{e}`!'.format(cmd=command, e=e)
time.sleep(1)
child.sendline(pwd)
time.sleep(1)
try:
i = child.expect(['up-to-date', 'files changed', 'Permission denied'], 120)
if i == 2:
print 'Error on calling GIT pull: Incorrect password'
return 'Error on calling GIT pull: Incorrect password'
except Exception as e:
return 'Error after calling GIT {cmd}: `{e}`!'.format(cmd=command, e=e)
child.sendline('\n\n')
time.sleep(1)
print('-'*40)
else:
return '*ERROR* Unknown plugin command `{}`!'.format(command)
return 'true'
# | apache-2.0 |
topix-hackademy/social-listener | application/twitter/tweets/collector.py | 1 | 3236 | from application.mongo import Connection
from application.twitter.interface import TwitterInterface
from application.twitter.tweets.fetcher import TweetsFetcher
from application.processmanager import ProcessManager
from application.utils.helpers import what_time_is_it
import logging
class TweetCollector(TwitterInterface):
def __init__(self, user, *args, **kwargs):
"""
Twitter Collector. This class is used for retrieve tweets from a specific user
"""
super(TweetCollector, self).__init__(*args, **kwargs)
self.user = user
self.process_name = "Tweets Collector: <%s>" % user
self.fetcherInstance = TweetsFetcher(self.auth, self.user, self.process_name)
def __str__(self):
"""
String representation
:return:
"""
return "Tweet Collector for user <{user}>".format(user=self.user)
def start(self, process_manager):
"""
Start async job for user's tweets
:param process_manager: Process manager instance
:return:
"""
try:
process_manager.create_process(target=self.fetcher,
name=self.process_name,
ptype='twitter_collector')
except Exception:
raise Exception('Error Creating new Process')
def fetcher(self):
"""
Tweets loader
:return:
"""
for page in self.fetcherInstance.get_tweets():
for tweet in page:
try:
if not Connection.Instance().db.twitter.find_one({'user': tweet.user.screen_name,
'source': 'collector',
'data.id': tweet.id}):
Connection.Instance().db.twitter.insert_one({
'source': 'collector',
'data': {
'created_at': tweet.created_at,
'favorite_count': tweet.favorite_count,
'geo': tweet.geo,
'id': tweet.id,
'source': tweet.source,
'in_reply_to_screen_name': tweet.in_reply_to_screen_name,
'in_reply_to_status_id': tweet.in_reply_to_status_id,
'in_reply_to_user_id': tweet.in_reply_to_user_id,
'retweet_count': tweet.retweet_count,
'retweeted': tweet.retweeted,
'text': tweet.text,
'entities': tweet.entities
},
'user': tweet.user.screen_name,
'created': what_time_is_it()
})
except Exception as genericException:
logging.error("MongoDB Insert Error in collector: %s" % genericException)
import multiprocessing
ProcessManager.terminate_process(multiprocessing.current_process().pid, True)
| mit |
bristy/login_app_flask | env/lib/python2.7/site-packages/pip/pep425tags.py | 469 | 2969 | """Generate and work with PEP 425 Compatibility Tags."""
import sys
import warnings
try:
import sysconfig
except ImportError: # pragma nocover
# Python < 2.7
import distutils.sysconfig as sysconfig
import distutils.util
def get_abbr_impl():
"""Return abbreviated implementation name."""
if hasattr(sys, 'pypy_version_info'):
pyimpl = 'pp'
elif sys.platform.startswith('java'):
pyimpl = 'jy'
elif sys.platform == 'cli':
pyimpl = 'ip'
else:
pyimpl = 'cp'
return pyimpl
def get_impl_ver():
"""Return implementation version."""
return ''.join(map(str, sys.version_info[:2]))
def get_platform():
"""Return our platform name 'win32', 'linux_x86_64'"""
# XXX remove distutils dependency
return distutils.util.get_platform().replace('.', '_').replace('-', '_')
def get_supported(versions=None, noarch=False):
"""Return a list of supported tags for each version specified in
`versions`.
:param versions: a list of string versions, of the form ["33", "32"],
or None. The first version will be assumed to support our ABI.
"""
supported = []
# Versions must be given with respect to the preference
if versions is None:
versions = []
major = sys.version_info[0]
# Support all previous minor Python versions.
for minor in range(sys.version_info[1], -1, -1):
versions.append(''.join(map(str, (major, minor))))
impl = get_abbr_impl()
abis = []
try:
soabi = sysconfig.get_config_var('SOABI')
except IOError as e: # Issue #1074
warnings.warn("{0}".format(e), RuntimeWarning)
soabi = None
if soabi and soabi.startswith('cpython-'):
abis[0:0] = ['cp' + soabi.split('-', 1)[-1]]
abi3s = set()
import imp
for suffix in imp.get_suffixes():
if suffix[0].startswith('.abi'):
abi3s.add(suffix[0].split('.', 2)[1])
abis.extend(sorted(list(abi3s)))
abis.append('none')
if not noarch:
arch = get_platform()
# Current version, current API (built specifically for our Python):
for abi in abis:
supported.append(('%s%s' % (impl, versions[0]), abi, arch))
# No abi / arch, but requires our implementation:
for i, version in enumerate(versions):
supported.append(('%s%s' % (impl, version), 'none', 'any'))
if i == 0:
# Tagged specifically as being cross-version compatible
# (with just the major version specified)
supported.append(('%s%s' % (impl, versions[0][0]), 'none', 'any'))
# No abi / arch, generic Python
for i, version in enumerate(versions):
supported.append(('py%s' % (version,), 'none', 'any'))
if i == 0:
supported.append(('py%s' % (version[0]), 'none', 'any'))
return supported
supported_tags = get_supported()
supported_tags_noarch = get_supported(noarch=True)
| mit |
Manuel4131/swampdragon | swampdragon/serializers/serializer_tools.py | 9 | 3428 | from collections import namedtuple
from django.db.models.fields.related import ForeignKey, ReverseSingleRelatedObjectDescriptor, \
ManyRelatedObjectsDescriptor, ReverseManyRelatedObjectsDescriptor, ForeignRelatedObjectsDescriptor, \
SingleRelatedObjectDescriptor
# from django.db.models.related import RelatedObject
from django.db.models.fields.related import ForeignObjectRel
from django.db.models.fields.related import ManyToManyField
class FieldType(namedtuple('FieldType', 'field, model, fk, m2m')):
'''
Determine if a field is an m2m, reverse m2m, fk or reverse fk
'''
@property
def is_m2m(self):
return self.fk is False and self.m2m is True and isinstance(self.field, ForeignObjectRel)
@property
def is_reverse_m2m(self):
return self.fk is True and self.m2m is True and isinstance(self.field, ManyToManyField)
@property
def is_fk(self):
return self.fk is True and self.m2m is False and isinstance(self.field, ForeignKey)
@property
def is_reverse_fk(self):
return self.fk is False and self.m2m is False and isinstance(self.field, ForeignObjectRel)
def get_serializer_relationship_field(serializer, related_serializer):
if isinstance(serializer, type):
model = serializer().opts.model
else:
model = serializer.opts.model
if isinstance(related_serializer, type):
related_model = related_serializer().opts.model
else:
related_model = related_serializer.opts.model
for field_name in related_model._meta.get_all_field_names():
field_type = FieldType(*related_model._meta.get_field_by_name(field_name))
field = field_type.field
# Foreign key
if field_type.is_fk and field.rel.to is model:
return field.verbose_name
# Reverse foreign key
if field_type.is_reverse_fk and field.model is model:
return field.var_name
# M2m fields
if field_type.is_m2m and field.model is model:
return field.var_name
# Reverse m2m field
if field_type.is_reverse_m2m and field.rel.to is model:
return field.attname
def get_id_mappings(serializer):
if not serializer.instance:
return {}
data = {}
for field_name in serializer.opts.publish_fields:
if not hasattr(serializer, field_name):
continue
serializable_field = serializer._get_related_serializer(field_name)
if not hasattr(serializable_field, 'serialize'):
continue
field_type = getattr(serializer.opts.model, field_name)
is_fk = isinstance(field_type, ReverseSingleRelatedObjectDescriptor)
is_o2o = isinstance(field_type, SingleRelatedObjectDescriptor)
is_reverse_fk = isinstance(field_type, ForeignRelatedObjectsDescriptor)
is_m2m = isinstance(field_type, ManyRelatedObjectsDescriptor)
is_reverse_m2m = isinstance(field_type, ReverseManyRelatedObjectsDescriptor)
try:
val = getattr(serializer.instance, field_name)
except:
continue
if not val:
continue
if is_fk or is_o2o:
data['{}'.format(field_name)] = val.pk
continue
if is_reverse_fk or is_m2m or is_reverse_m2m:
data['{}'.format(field_name)] = list(val.all().values_list('pk', flat=True))
continue
return data
| bsd-3-clause |
crakensio/django_training | lib/python2.7/site-packages/pygments/lexers/_mapping.py | 68 | 36995 | # -*- coding: utf-8 -*-
"""
pygments.lexers._mapping
~~~~~~~~~~~~~~~~~~~~~~~~
Lexer mapping defintions. This file is generated by itself. Everytime
you change something on a builtin lexer defintion, run this script from
the lexers folder to update it.
Do not alter the LEXERS dictionary by hand.
:copyright: Copyright 2006-2013 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
LEXERS = {
'ABAPLexer': ('pygments.lexers.other', 'ABAP', ('abap',), ('*.abap',), ('text/x-abap',)),
'ActionScript3Lexer': ('pygments.lexers.web', 'ActionScript 3', ('as3', 'actionscript3'), ('*.as',), ('application/x-actionscript', 'text/x-actionscript', 'text/actionscript')),
'ActionScriptLexer': ('pygments.lexers.web', 'ActionScript', ('as', 'actionscript'), ('*.as',), ('application/x-actionscript3', 'text/x-actionscript3', 'text/actionscript3')),
'AdaLexer': ('pygments.lexers.compiled', 'Ada', ('ada', 'ada95ada2005'), ('*.adb', '*.ads', '*.ada'), ('text/x-ada',)),
'AntlrActionScriptLexer': ('pygments.lexers.parsers', 'ANTLR With ActionScript Target', ('antlr-as', 'antlr-actionscript'), ('*.G', '*.g'), ()),
'AntlrCSharpLexer': ('pygments.lexers.parsers', 'ANTLR With C# Target', ('antlr-csharp', 'antlr-c#'), ('*.G', '*.g'), ()),
'AntlrCppLexer': ('pygments.lexers.parsers', 'ANTLR With CPP Target', ('antlr-cpp',), ('*.G', '*.g'), ()),
'AntlrJavaLexer': ('pygments.lexers.parsers', 'ANTLR With Java Target', ('antlr-java',), ('*.G', '*.g'), ()),
'AntlrLexer': ('pygments.lexers.parsers', 'ANTLR', ('antlr',), (), ()),
'AntlrObjectiveCLexer': ('pygments.lexers.parsers', 'ANTLR With ObjectiveC Target', ('antlr-objc',), ('*.G', '*.g'), ()),
'AntlrPerlLexer': ('pygments.lexers.parsers', 'ANTLR With Perl Target', ('antlr-perl',), ('*.G', '*.g'), ()),
'AntlrPythonLexer': ('pygments.lexers.parsers', 'ANTLR With Python Target', ('antlr-python',), ('*.G', '*.g'), ()),
'AntlrRubyLexer': ('pygments.lexers.parsers', 'ANTLR With Ruby Target', ('antlr-ruby', 'antlr-rb'), ('*.G', '*.g'), ()),
'ApacheConfLexer': ('pygments.lexers.text', 'ApacheConf', ('apacheconf', 'aconf', 'apache'), ('.htaccess', 'apache.conf', 'apache2.conf'), ('text/x-apacheconf',)),
'AppleScriptLexer': ('pygments.lexers.other', 'AppleScript', ('applescript',), ('*.applescript',), ()),
'AspectJLexer': ('pygments.lexers.jvm', 'AspectJ', ('aspectj',), ('*.aj',), ('text/x-aspectj',)),
'AsymptoteLexer': ('pygments.lexers.other', 'Asymptote', ('asy', 'asymptote'), ('*.asy',), ('text/x-asymptote',)),
'AutoItLexer': ('pygments.lexers.other', 'AutoIt', ('autoit', 'Autoit'), ('*.au3',), ('text/x-autoit',)),
'AutohotkeyLexer': ('pygments.lexers.other', 'autohotkey', ('ahk',), ('*.ahk', '*.ahkl'), ('text/x-autohotkey',)),
'AwkLexer': ('pygments.lexers.other', 'Awk', ('awk', 'gawk', 'mawk', 'nawk'), ('*.awk',), ('application/x-awk',)),
'BBCodeLexer': ('pygments.lexers.text', 'BBCode', ('bbcode',), (), ('text/x-bbcode',)),
'BaseMakefileLexer': ('pygments.lexers.text', 'Base Makefile', ('basemake',), (), ()),
'BashLexer': ('pygments.lexers.shell', 'Bash', ('bash', 'sh', 'ksh'), ('*.sh', '*.ksh', '*.bash', '*.ebuild', '*.eclass', '.bashrc', 'bashrc', '.bash_*', 'bash_*'), ('application/x-sh', 'application/x-shellscript')),
'BashSessionLexer': ('pygments.lexers.shell', 'Bash Session', ('console',), ('*.sh-session',), ('application/x-shell-session',)),
'BatchLexer': ('pygments.lexers.shell', 'Batchfile', ('bat',), ('*.bat', '*.cmd'), ('application/x-dos-batch',)),
'BefungeLexer': ('pygments.lexers.other', 'Befunge', ('befunge',), ('*.befunge',), ('application/x-befunge',)),
'BlitzMaxLexer': ('pygments.lexers.compiled', 'BlitzMax', ('blitzmax', 'bmax'), ('*.bmx',), ('text/x-bmx',)),
'BooLexer': ('pygments.lexers.dotnet', 'Boo', ('boo',), ('*.boo',), ('text/x-boo',)),
'BrainfuckLexer': ('pygments.lexers.other', 'Brainfuck', ('brainfuck', 'bf'), ('*.bf', '*.b'), ('application/x-brainfuck',)),
'BroLexer': ('pygments.lexers.other', 'Bro', ('bro',), ('*.bro',), ()),
'BugsLexer': ('pygments.lexers.math', 'BUGS', ('bugs', 'winbugs', 'openbugs'), ('*.bug',), ()),
'CLexer': ('pygments.lexers.compiled', 'C', ('c',), ('*.c', '*.h', '*.idc'), ('text/x-chdr', 'text/x-csrc')),
'CMakeLexer': ('pygments.lexers.text', 'CMake', ('cmake',), ('*.cmake', 'CMakeLists.txt'), ('text/x-cmake',)),
'CObjdumpLexer': ('pygments.lexers.asm', 'c-objdump', ('c-objdump',), ('*.c-objdump',), ('text/x-c-objdump',)),
'CSharpAspxLexer': ('pygments.lexers.dotnet', 'aspx-cs', ('aspx-cs',), ('*.aspx', '*.asax', '*.ascx', '*.ashx', '*.asmx', '*.axd'), ()),
'CSharpLexer': ('pygments.lexers.dotnet', 'C#', ('csharp', 'c#'), ('*.cs',), ('text/x-csharp',)),
'Ca65Lexer': ('pygments.lexers.asm', 'ca65', ('ca65',), ('*.s',), ()),
'CbmBasicV2Lexer': ('pygments.lexers.other', 'CBM BASIC V2', ('cbmbas',), ('*.bas',), ()),
'CeylonLexer': ('pygments.lexers.jvm', 'Ceylon', ('ceylon',), ('*.ceylon',), ('text/x-ceylon',)),
'Cfengine3Lexer': ('pygments.lexers.other', 'CFEngine3', ('cfengine3', 'cf3'), ('*.cf',), ()),
'CheetahHtmlLexer': ('pygments.lexers.templates', 'HTML+Cheetah', ('html+cheetah', 'html+spitfire'), (), ('text/html+cheetah', 'text/html+spitfire')),
'CheetahJavascriptLexer': ('pygments.lexers.templates', 'JavaScript+Cheetah', ('js+cheetah', 'javascript+cheetah', 'js+spitfire', 'javascript+spitfire'), (), ('application/x-javascript+cheetah', 'text/x-javascript+cheetah', 'text/javascript+cheetah', 'application/x-javascript+spitfire', 'text/x-javascript+spitfire', 'text/javascript+spitfire')),
'CheetahLexer': ('pygments.lexers.templates', 'Cheetah', ('cheetah', 'spitfire'), ('*.tmpl', '*.spt'), ('application/x-cheetah', 'application/x-spitfire')),
'CheetahXmlLexer': ('pygments.lexers.templates', 'XML+Cheetah', ('xml+cheetah', 'xml+spitfire'), (), ('application/xml+cheetah', 'application/xml+spitfire')),
'ClojureLexer': ('pygments.lexers.jvm', 'Clojure', ('clojure', 'clj'), ('*.clj',), ('text/x-clojure', 'application/x-clojure')),
'CobolFreeformatLexer': ('pygments.lexers.compiled', 'COBOLFree', ('cobolfree',), ('*.cbl', '*.CBL'), ()),
'CobolLexer': ('pygments.lexers.compiled', 'COBOL', ('cobol',), ('*.cob', '*.COB', '*.cpy', '*.CPY'), ('text/x-cobol',)),
'CoffeeScriptLexer': ('pygments.lexers.web', 'CoffeeScript', ('coffee-script', 'coffeescript'), ('*.coffee',), ('text/coffeescript',)),
'ColdfusionHtmlLexer': ('pygments.lexers.templates', 'Coldfusion HTML', ('cfm',), ('*.cfm', '*.cfml', '*.cfc'), ('application/x-coldfusion',)),
'ColdfusionLexer': ('pygments.lexers.templates', 'cfstatement', ('cfs',), (), ()),
'CommonLispLexer': ('pygments.lexers.functional', 'Common Lisp', ('common-lisp', 'cl'), ('*.cl', '*.lisp', '*.el'), ('text/x-common-lisp',)),
'CoqLexer': ('pygments.lexers.functional', 'Coq', ('coq',), ('*.v',), ('text/x-coq',)),
'CppLexer': ('pygments.lexers.compiled', 'C++', ('cpp', 'c++'), ('*.cpp', '*.hpp', '*.c++', '*.h++', '*.cc', '*.hh', '*.cxx', '*.hxx', '*.C', '*.H', '*.cp', '*.CPP'), ('text/x-c++hdr', 'text/x-c++src')),
'CppObjdumpLexer': ('pygments.lexers.asm', 'cpp-objdump', ('cpp-objdump', 'c++-objdumb', 'cxx-objdump'), ('*.cpp-objdump', '*.c++-objdump', '*.cxx-objdump'), ('text/x-cpp-objdump',)),
'CrocLexer': ('pygments.lexers.agile', 'Croc', ('croc',), ('*.croc',), ('text/x-crocsrc',)),
'CssDjangoLexer': ('pygments.lexers.templates', 'CSS+Django/Jinja', ('css+django', 'css+jinja'), (), ('text/css+django', 'text/css+jinja')),
'CssErbLexer': ('pygments.lexers.templates', 'CSS+Ruby', ('css+erb', 'css+ruby'), (), ('text/css+ruby',)),
'CssGenshiLexer': ('pygments.lexers.templates', 'CSS+Genshi Text', ('css+genshitext', 'css+genshi'), (), ('text/css+genshi',)),
'CssLexer': ('pygments.lexers.web', 'CSS', ('css',), ('*.css',), ('text/css',)),
'CssPhpLexer': ('pygments.lexers.templates', 'CSS+PHP', ('css+php',), (), ('text/css+php',)),
'CssSmartyLexer': ('pygments.lexers.templates', 'CSS+Smarty', ('css+smarty',), (), ('text/css+smarty',)),
'CudaLexer': ('pygments.lexers.compiled', 'CUDA', ('cuda', 'cu'), ('*.cu', '*.cuh'), ('text/x-cuda',)),
'CythonLexer': ('pygments.lexers.compiled', 'Cython', ('cython', 'pyx'), ('*.pyx', '*.pxd', '*.pxi'), ('text/x-cython', 'application/x-cython')),
'DLexer': ('pygments.lexers.compiled', 'D', ('d',), ('*.d', '*.di'), ('text/x-dsrc',)),
'DObjdumpLexer': ('pygments.lexers.asm', 'd-objdump', ('d-objdump',), ('*.d-objdump',), ('text/x-d-objdump',)),
'DarcsPatchLexer': ('pygments.lexers.text', 'Darcs Patch', ('dpatch',), ('*.dpatch', '*.darcspatch'), ()),
'DartLexer': ('pygments.lexers.web', 'Dart', ('dart',), ('*.dart',), ('text/x-dart',)),
'DebianControlLexer': ('pygments.lexers.text', 'Debian Control file', ('control',), ('control',), ()),
'DelphiLexer': ('pygments.lexers.compiled', 'Delphi', ('delphi', 'pas', 'pascal', 'objectpascal'), ('*.pas',), ('text/x-pascal',)),
'DgLexer': ('pygments.lexers.agile', 'dg', ('dg',), ('*.dg',), ('text/x-dg',)),
'DiffLexer': ('pygments.lexers.text', 'Diff', ('diff', 'udiff'), ('*.diff', '*.patch'), ('text/x-diff', 'text/x-patch')),
'DjangoLexer': ('pygments.lexers.templates', 'Django/Jinja', ('django', 'jinja'), (), ('application/x-django-templating', 'application/x-jinja')),
'DtdLexer': ('pygments.lexers.web', 'DTD', ('dtd',), ('*.dtd',), ('application/xml-dtd',)),
'DuelLexer': ('pygments.lexers.web', 'Duel', ('duel', 'Duel Engine', 'Duel View', 'JBST', 'jbst', 'JsonML+BST'), ('*.duel', '*.jbst'), ('text/x-duel', 'text/x-jbst')),
'DylanConsoleLexer': ('pygments.lexers.compiled', 'Dylan session', ('dylan-console', 'dylan-repl'), ('*.dylan-console',), ('text/x-dylan-console',)),
'DylanLexer': ('pygments.lexers.compiled', 'Dylan', ('dylan',), ('*.dylan', '*.dyl', '*.intr'), ('text/x-dylan',)),
'DylanLidLexer': ('pygments.lexers.compiled', 'DylanLID', ('dylan-lid', 'lid'), ('*.lid', '*.hdp'), ('text/x-dylan-lid',)),
'ECLLexer': ('pygments.lexers.other', 'ECL', ('ecl',), ('*.ecl',), ('application/x-ecl',)),
'ECLexer': ('pygments.lexers.compiled', 'eC', ('ec',), ('*.ec', '*.eh'), ('text/x-echdr', 'text/x-ecsrc')),
'ElixirConsoleLexer': ('pygments.lexers.functional', 'Elixir iex session', ('iex',), (), ('text/x-elixir-shellsession',)),
'ElixirLexer': ('pygments.lexers.functional', 'Elixir', ('elixir', 'ex', 'exs'), ('*.ex', '*.exs'), ('text/x-elixir',)),
'ErbLexer': ('pygments.lexers.templates', 'ERB', ('erb',), (), ('application/x-ruby-templating',)),
'ErlangLexer': ('pygments.lexers.functional', 'Erlang', ('erlang',), ('*.erl', '*.hrl', '*.es', '*.escript'), ('text/x-erlang',)),
'ErlangShellLexer': ('pygments.lexers.functional', 'Erlang erl session', ('erl',), ('*.erl-sh',), ('text/x-erl-shellsession',)),
'EvoqueHtmlLexer': ('pygments.lexers.templates', 'HTML+Evoque', ('html+evoque',), ('*.html',), ('text/html+evoque',)),
'EvoqueLexer': ('pygments.lexers.templates', 'Evoque', ('evoque',), ('*.evoque',), ('application/x-evoque',)),
'EvoqueXmlLexer': ('pygments.lexers.templates', 'XML+Evoque', ('xml+evoque',), ('*.xml',), ('application/xml+evoque',)),
'FSharpLexer': ('pygments.lexers.dotnet', 'FSharp', ('fsharp',), ('*.fs', '*.fsi'), ('text/x-fsharp',)),
'FactorLexer': ('pygments.lexers.agile', 'Factor', ('factor',), ('*.factor',), ('text/x-factor',)),
'FancyLexer': ('pygments.lexers.agile', 'Fancy', ('fancy', 'fy'), ('*.fy', '*.fancypack'), ('text/x-fancysrc',)),
'FantomLexer': ('pygments.lexers.compiled', 'Fantom', ('fan',), ('*.fan',), ('application/x-fantom',)),
'FelixLexer': ('pygments.lexers.compiled', 'Felix', ('felix', 'flx'), ('*.flx', '*.flxh'), ('text/x-felix',)),
'FortranLexer': ('pygments.lexers.compiled', 'Fortran', ('fortran',), ('*.f', '*.f90', '*.F', '*.F90'), ('text/x-fortran',)),
'FoxProLexer': ('pygments.lexers.foxpro', 'FoxPro', ('Clipper', 'XBase'), ('*.PRG', '*.prg'), ()),
'GLShaderLexer': ('pygments.lexers.compiled', 'GLSL', ('glsl',), ('*.vert', '*.frag', '*.geo'), ('text/x-glslsrc',)),
'GasLexer': ('pygments.lexers.asm', 'GAS', ('gas',), ('*.s', '*.S'), ('text/x-gas',)),
'GenshiLexer': ('pygments.lexers.templates', 'Genshi', ('genshi', 'kid', 'xml+genshi', 'xml+kid'), ('*.kid',), ('application/x-genshi', 'application/x-kid')),
'GenshiTextLexer': ('pygments.lexers.templates', 'Genshi Text', ('genshitext',), (), ('application/x-genshi-text', 'text/x-genshi')),
'GettextLexer': ('pygments.lexers.text', 'Gettext Catalog', ('pot', 'po'), ('*.pot', '*.po'), ('application/x-gettext', 'text/x-gettext', 'text/gettext')),
'GherkinLexer': ('pygments.lexers.other', 'Gherkin', ('Cucumber', 'cucumber', 'Gherkin', 'gherkin'), ('*.feature',), ('text/x-gherkin',)),
'GnuplotLexer': ('pygments.lexers.other', 'Gnuplot', ('gnuplot',), ('*.plot', '*.plt'), ('text/x-gnuplot',)),
'GoLexer': ('pygments.lexers.compiled', 'Go', ('go',), ('*.go',), ('text/x-gosrc',)),
'GoodDataCLLexer': ('pygments.lexers.other', 'GoodData-CL', ('gooddata-cl',), ('*.gdc',), ('text/x-gooddata-cl',)),
'GosuLexer': ('pygments.lexers.jvm', 'Gosu', ('gosu',), ('*.gs', '*.gsx', '*.gsp', '*.vark'), ('text/x-gosu',)),
'GosuTemplateLexer': ('pygments.lexers.jvm', 'Gosu Template', ('gst',), ('*.gst',), ('text/x-gosu-template',)),
'GroffLexer': ('pygments.lexers.text', 'Groff', ('groff', 'nroff', 'man'), ('*.[1234567]', '*.man'), ('application/x-troff', 'text/troff')),
'GroovyLexer': ('pygments.lexers.jvm', 'Groovy', ('groovy',), ('*.groovy',), ('text/x-groovy',)),
'HamlLexer': ('pygments.lexers.web', 'Haml', ('haml', 'HAML'), ('*.haml',), ('text/x-haml',)),
'HaskellLexer': ('pygments.lexers.functional', 'Haskell', ('haskell', 'hs'), ('*.hs',), ('text/x-haskell',)),
'HaxeLexer': ('pygments.lexers.web', 'haXe', ('hx', 'haXe'), ('*.hx',), ('text/haxe',)),
'HtmlDjangoLexer': ('pygments.lexers.templates', 'HTML+Django/Jinja', ('html+django', 'html+jinja'), (), ('text/html+django', 'text/html+jinja')),
'HtmlGenshiLexer': ('pygments.lexers.templates', 'HTML+Genshi', ('html+genshi', 'html+kid'), (), ('text/html+genshi',)),
'HtmlLexer': ('pygments.lexers.web', 'HTML', ('html',), ('*.html', '*.htm', '*.xhtml', '*.xslt'), ('text/html', 'application/xhtml+xml')),
'HtmlPhpLexer': ('pygments.lexers.templates', 'HTML+PHP', ('html+php',), ('*.phtml',), ('application/x-php', 'application/x-httpd-php', 'application/x-httpd-php3', 'application/x-httpd-php4', 'application/x-httpd-php5')),
'HtmlSmartyLexer': ('pygments.lexers.templates', 'HTML+Smarty', ('html+smarty',), (), ('text/html+smarty',)),
'HttpLexer': ('pygments.lexers.text', 'HTTP', ('http',), (), ()),
'HxmlLexer': ('pygments.lexers.text', 'Hxml', ('haxeml', 'hxml'), ('*.hxml',), ()),
'HybrisLexer': ('pygments.lexers.other', 'Hybris', ('hybris', 'hy'), ('*.hy', '*.hyb'), ('text/x-hybris', 'application/x-hybris')),
'IDLLexer': ('pygments.lexers.math', 'IDL', ('idl',), ('*.pro',), ('text/idl',)),
'IniLexer': ('pygments.lexers.text', 'INI', ('ini', 'cfg'), ('*.ini', '*.cfg'), ('text/x-ini',)),
'IoLexer': ('pygments.lexers.agile', 'Io', ('io',), ('*.io',), ('text/x-iosrc',)),
'IokeLexer': ('pygments.lexers.jvm', 'Ioke', ('ioke', 'ik'), ('*.ik',), ('text/x-iokesrc',)),
'IrcLogsLexer': ('pygments.lexers.text', 'IRC logs', ('irc',), ('*.weechatlog',), ('text/x-irclog',)),
'JadeLexer': ('pygments.lexers.web', 'Jade', ('jade', 'JADE'), ('*.jade',), ('text/x-jade',)),
'JagsLexer': ('pygments.lexers.math', 'JAGS', ('jags',), ('*.jag', '*.bug'), ()),
'JavaLexer': ('pygments.lexers.jvm', 'Java', ('java',), ('*.java',), ('text/x-java',)),
'JavascriptDjangoLexer': ('pygments.lexers.templates', 'JavaScript+Django/Jinja', ('js+django', 'javascript+django', 'js+jinja', 'javascript+jinja'), (), ('application/x-javascript+django', 'application/x-javascript+jinja', 'text/x-javascript+django', 'text/x-javascript+jinja', 'text/javascript+django', 'text/javascript+jinja')),
'JavascriptErbLexer': ('pygments.lexers.templates', 'JavaScript+Ruby', ('js+erb', 'javascript+erb', 'js+ruby', 'javascript+ruby'), (), ('application/x-javascript+ruby', 'text/x-javascript+ruby', 'text/javascript+ruby')),
'JavascriptGenshiLexer': ('pygments.lexers.templates', 'JavaScript+Genshi Text', ('js+genshitext', 'js+genshi', 'javascript+genshitext', 'javascript+genshi'), (), ('application/x-javascript+genshi', 'text/x-javascript+genshi', 'text/javascript+genshi')),
'JavascriptLexer': ('pygments.lexers.web', 'JavaScript', ('js', 'javascript'), ('*.js',), ('application/javascript', 'application/x-javascript', 'text/x-javascript', 'text/javascript')),
'JavascriptPhpLexer': ('pygments.lexers.templates', 'JavaScript+PHP', ('js+php', 'javascript+php'), (), ('application/x-javascript+php', 'text/x-javascript+php', 'text/javascript+php')),
'JavascriptSmartyLexer': ('pygments.lexers.templates', 'JavaScript+Smarty', ('js+smarty', 'javascript+smarty'), (), ('application/x-javascript+smarty', 'text/x-javascript+smarty', 'text/javascript+smarty')),
'JsonLexer': ('pygments.lexers.web', 'JSON', ('json',), ('*.json',), ('application/json',)),
'JspLexer': ('pygments.lexers.templates', 'Java Server Page', ('jsp',), ('*.jsp',), ('application/x-jsp',)),
'JuliaConsoleLexer': ('pygments.lexers.math', 'Julia console', ('jlcon',), (), ()),
'JuliaLexer': ('pygments.lexers.math', 'Julia', ('julia', 'jl'), ('*.jl',), ('text/x-julia', 'application/x-julia')),
'KconfigLexer': ('pygments.lexers.other', 'Kconfig', ('kconfig', 'menuconfig', 'linux-config', 'kernel-config'), ('Kconfig', '*Config.in*', 'external.in*', 'standard-modules.in'), ('text/x-kconfig',)),
'KokaLexer': ('pygments.lexers.functional', 'Koka', ('koka',), ('*.kk', '*.kki'), ('text/x-koka',)),
'KotlinLexer': ('pygments.lexers.jvm', 'Kotlin', ('kotlin',), ('*.kt',), ('text/x-kotlin',)),
'LassoCssLexer': ('pygments.lexers.templates', 'CSS+Lasso', ('css+lasso',), (), ('text/css+lasso',)),
'LassoHtmlLexer': ('pygments.lexers.templates', 'HTML+Lasso', ('html+lasso',), (), ('text/html+lasso', 'application/x-httpd-lasso', 'application/x-httpd-lasso[89]')),
'LassoJavascriptLexer': ('pygments.lexers.templates', 'JavaScript+Lasso', ('js+lasso', 'javascript+lasso'), (), ('application/x-javascript+lasso', 'text/x-javascript+lasso', 'text/javascript+lasso')),
'LassoLexer': ('pygments.lexers.web', 'Lasso', ('lasso', 'lassoscript'), ('*.lasso', '*.lasso[89]'), ('text/x-lasso',)),
'LassoXmlLexer': ('pygments.lexers.templates', 'XML+Lasso', ('xml+lasso',), (), ('application/xml+lasso',)),
'LighttpdConfLexer': ('pygments.lexers.text', 'Lighttpd configuration file', ('lighty', 'lighttpd'), (), ('text/x-lighttpd-conf',)),
'LiterateHaskellLexer': ('pygments.lexers.functional', 'Literate Haskell', ('lhs', 'literate-haskell'), ('*.lhs',), ('text/x-literate-haskell',)),
'LiveScriptLexer': ('pygments.lexers.web', 'LiveScript', ('live-script', 'livescript'), ('*.ls',), ('text/livescript',)),
'LlvmLexer': ('pygments.lexers.asm', 'LLVM', ('llvm',), ('*.ll',), ('text/x-llvm',)),
'LogosLexer': ('pygments.lexers.compiled', 'Logos', ('logos',), ('*.x', '*.xi', '*.xm', '*.xmi'), ('text/x-logos',)),
'LogtalkLexer': ('pygments.lexers.other', 'Logtalk', ('logtalk',), ('*.lgt',), ('text/x-logtalk',)),
'LuaLexer': ('pygments.lexers.agile', 'Lua', ('lua',), ('*.lua', '*.wlua'), ('text/x-lua', 'application/x-lua')),
'MOOCodeLexer': ('pygments.lexers.other', 'MOOCode', ('moocode',), ('*.moo',), ('text/x-moocode',)),
'MakefileLexer': ('pygments.lexers.text', 'Makefile', ('make', 'makefile', 'mf', 'bsdmake'), ('*.mak', 'Makefile', 'makefile', 'Makefile.*', 'GNUmakefile'), ('text/x-makefile',)),
'MakoCssLexer': ('pygments.lexers.templates', 'CSS+Mako', ('css+mako',), (), ('text/css+mako',)),
'MakoHtmlLexer': ('pygments.lexers.templates', 'HTML+Mako', ('html+mako',), (), ('text/html+mako',)),
'MakoJavascriptLexer': ('pygments.lexers.templates', 'JavaScript+Mako', ('js+mako', 'javascript+mako'), (), ('application/x-javascript+mako', 'text/x-javascript+mako', 'text/javascript+mako')),
'MakoLexer': ('pygments.lexers.templates', 'Mako', ('mako',), ('*.mao',), ('application/x-mako',)),
'MakoXmlLexer': ('pygments.lexers.templates', 'XML+Mako', ('xml+mako',), (), ('application/xml+mako',)),
'MaqlLexer': ('pygments.lexers.other', 'MAQL', ('maql',), ('*.maql',), ('text/x-gooddata-maql', 'application/x-gooddata-maql')),
'MasonLexer': ('pygments.lexers.templates', 'Mason', ('mason',), ('*.m', '*.mhtml', '*.mc', '*.mi', 'autohandler', 'dhandler'), ('application/x-mason',)),
'MatlabLexer': ('pygments.lexers.math', 'Matlab', ('matlab',), ('*.m',), ('text/matlab',)),
'MatlabSessionLexer': ('pygments.lexers.math', 'Matlab session', ('matlabsession',), (), ()),
'MiniDLexer': ('pygments.lexers.agile', 'MiniD', ('minid',), ('*.md',), ('text/x-minidsrc',)),
'ModelicaLexer': ('pygments.lexers.other', 'Modelica', ('modelica',), ('*.mo',), ('text/x-modelica',)),
'Modula2Lexer': ('pygments.lexers.compiled', 'Modula-2', ('modula2', 'm2'), ('*.def', '*.mod'), ('text/x-modula2',)),
'MoinWikiLexer': ('pygments.lexers.text', 'MoinMoin/Trac Wiki markup', ('trac-wiki', 'moin'), (), ('text/x-trac-wiki',)),
'MonkeyLexer': ('pygments.lexers.compiled', 'Monkey', ('monkey',), ('*.monkey',), ('text/x-monkey',)),
'MoonScriptLexer': ('pygments.lexers.agile', 'MoonScript', ('moon', 'moonscript'), ('*.moon',), ('text/x-moonscript', 'application/x-moonscript')),
'MscgenLexer': ('pygments.lexers.other', 'Mscgen', ('mscgen', 'msc'), ('*.msc',), ()),
'MuPADLexer': ('pygments.lexers.math', 'MuPAD', ('mupad',), ('*.mu',), ()),
'MxmlLexer': ('pygments.lexers.web', 'MXML', ('mxml',), ('*.mxml',), ()),
'MySqlLexer': ('pygments.lexers.sql', 'MySQL', ('mysql',), (), ('text/x-mysql',)),
'MyghtyCssLexer': ('pygments.lexers.templates', 'CSS+Myghty', ('css+myghty',), (), ('text/css+myghty',)),
'MyghtyHtmlLexer': ('pygments.lexers.templates', 'HTML+Myghty', ('html+myghty',), (), ('text/html+myghty',)),
'MyghtyJavascriptLexer': ('pygments.lexers.templates', 'JavaScript+Myghty', ('js+myghty', 'javascript+myghty'), (), ('application/x-javascript+myghty', 'text/x-javascript+myghty', 'text/javascript+mygthy')),
'MyghtyLexer': ('pygments.lexers.templates', 'Myghty', ('myghty',), ('*.myt', 'autodelegate'), ('application/x-myghty',)),
'MyghtyXmlLexer': ('pygments.lexers.templates', 'XML+Myghty', ('xml+myghty',), (), ('application/xml+myghty',)),
'NSISLexer': ('pygments.lexers.other', 'NSIS', ('nsis', 'nsi', 'nsh'), ('*.nsi', '*.nsh'), ('text/x-nsis',)),
'NasmLexer': ('pygments.lexers.asm', 'NASM', ('nasm',), ('*.asm', '*.ASM'), ('text/x-nasm',)),
'NemerleLexer': ('pygments.lexers.dotnet', 'Nemerle', ('nemerle',), ('*.n',), ('text/x-nemerle',)),
'NewLispLexer': ('pygments.lexers.functional', 'NewLisp', ('newlisp',), ('*.lsp', '*.nl'), ('text/x-newlisp', 'application/x-newlisp')),
'NewspeakLexer': ('pygments.lexers.other', 'Newspeak', ('newspeak',), ('*.ns2',), ('text/x-newspeak',)),
'NginxConfLexer': ('pygments.lexers.text', 'Nginx configuration file', ('nginx',), (), ('text/x-nginx-conf',)),
'NimrodLexer': ('pygments.lexers.compiled', 'Nimrod', ('nimrod', 'nim'), ('*.nim', '*.nimrod'), ('text/x-nimrod',)),
'NumPyLexer': ('pygments.lexers.math', 'NumPy', ('numpy',), (), ()),
'ObjdumpLexer': ('pygments.lexers.asm', 'objdump', ('objdump',), ('*.objdump',), ('text/x-objdump',)),
'ObjectiveCLexer': ('pygments.lexers.compiled', 'Objective-C', ('objective-c', 'objectivec', 'obj-c', 'objc'), ('*.m', '*.h'), ('text/x-objective-c',)),
'ObjectiveCppLexer': ('pygments.lexers.compiled', 'Objective-C++', ('objective-c++', 'objectivec++', 'obj-c++', 'objc++'), ('*.mm', '*.hh'), ('text/x-objective-c++',)),
'ObjectiveJLexer': ('pygments.lexers.web', 'Objective-J', ('objective-j', 'objectivej', 'obj-j', 'objj'), ('*.j',), ('text/x-objective-j',)),
'OcamlLexer': ('pygments.lexers.functional', 'OCaml', ('ocaml',), ('*.ml', '*.mli', '*.mll', '*.mly'), ('text/x-ocaml',)),
'OctaveLexer': ('pygments.lexers.math', 'Octave', ('octave',), ('*.m',), ('text/octave',)),
'OocLexer': ('pygments.lexers.compiled', 'Ooc', ('ooc',), ('*.ooc',), ('text/x-ooc',)),
'OpaLexer': ('pygments.lexers.functional', 'Opa', ('opa',), ('*.opa',), ('text/x-opa',)),
'OpenEdgeLexer': ('pygments.lexers.other', 'OpenEdge ABL', ('openedge', 'abl', 'progress'), ('*.p', '*.cls'), ('text/x-openedge', 'application/x-openedge')),
'PerlLexer': ('pygments.lexers.agile', 'Perl', ('perl', 'pl'), ('*.pl', '*.pm'), ('text/x-perl', 'application/x-perl')),
'PhpLexer': ('pygments.lexers.web', 'PHP', ('php', 'php3', 'php4', 'php5'), ('*.php', '*.php[345]', '*.inc'), ('text/x-php',)),
'PlPgsqlLexer': ('pygments.lexers.sql', 'PL/pgSQL', ('plpgsql',), (), ('text/x-plpgsql',)),
'PostScriptLexer': ('pygments.lexers.other', 'PostScript', ('postscript',), ('*.ps', '*.eps'), ('application/postscript',)),
'PostgresConsoleLexer': ('pygments.lexers.sql', 'PostgreSQL console (psql)', ('psql', 'postgresql-console', 'postgres-console'), (), ('text/x-postgresql-psql',)),
'PostgresLexer': ('pygments.lexers.sql', 'PostgreSQL SQL dialect', ('postgresql', 'postgres'), (), ('text/x-postgresql',)),
'PovrayLexer': ('pygments.lexers.other', 'POVRay', ('pov',), ('*.pov', '*.inc'), ('text/x-povray',)),
'PowerShellLexer': ('pygments.lexers.shell', 'PowerShell', ('powershell', 'posh', 'ps1'), ('*.ps1',), ('text/x-powershell',)),
'PrologLexer': ('pygments.lexers.compiled', 'Prolog', ('prolog',), ('*.prolog', '*.pro', '*.pl'), ('text/x-prolog',)),
'PropertiesLexer': ('pygments.lexers.text', 'Properties', ('properties',), ('*.properties',), ('text/x-java-properties',)),
'ProtoBufLexer': ('pygments.lexers.other', 'Protocol Buffer', ('protobuf',), ('*.proto',), ()),
'PuppetLexer': ('pygments.lexers.other', 'Puppet', ('puppet',), ('*.pp',), ()),
'PyPyLogLexer': ('pygments.lexers.text', 'PyPy Log', ('pypylog', 'pypy'), ('*.pypylog',), ('application/x-pypylog',)),
'Python3Lexer': ('pygments.lexers.agile', 'Python 3', ('python3', 'py3'), (), ('text/x-python3', 'application/x-python3')),
'Python3TracebackLexer': ('pygments.lexers.agile', 'Python 3.0 Traceback', ('py3tb',), ('*.py3tb',), ('text/x-python3-traceback',)),
'PythonConsoleLexer': ('pygments.lexers.agile', 'Python console session', ('pycon',), (), ('text/x-python-doctest',)),
'PythonLexer': ('pygments.lexers.agile', 'Python', ('python', 'py', 'sage'), ('*.py', '*.pyw', '*.sc', 'SConstruct', 'SConscript', '*.tac', '*.sage'), ('text/x-python', 'application/x-python')),
'PythonTracebackLexer': ('pygments.lexers.agile', 'Python Traceback', ('pytb',), ('*.pytb',), ('text/x-python-traceback',)),
'QmlLexer': ('pygments.lexers.web', 'QML', ('qml', 'Qt Meta Language', 'Qt modeling Language'), ('*.qml',), ('application/x-qml',)),
'RConsoleLexer': ('pygments.lexers.math', 'RConsole', ('rconsole', 'rout'), ('*.Rout',), ()),
'RPMSpecLexer': ('pygments.lexers.other', 'RPMSpec', ('spec',), ('*.spec',), ('text/x-rpm-spec',)),
'RacketLexer': ('pygments.lexers.functional', 'Racket', ('racket', 'rkt'), ('*.rkt', '*.rktl'), ('text/x-racket', 'application/x-racket')),
'RagelCLexer': ('pygments.lexers.parsers', 'Ragel in C Host', ('ragel-c',), ('*.rl',), ()),
'RagelCppLexer': ('pygments.lexers.parsers', 'Ragel in CPP Host', ('ragel-cpp',), ('*.rl',), ()),
'RagelDLexer': ('pygments.lexers.parsers', 'Ragel in D Host', ('ragel-d',), ('*.rl',), ()),
'RagelEmbeddedLexer': ('pygments.lexers.parsers', 'Embedded Ragel', ('ragel-em',), ('*.rl',), ()),
'RagelJavaLexer': ('pygments.lexers.parsers', 'Ragel in Java Host', ('ragel-java',), ('*.rl',), ()),
'RagelLexer': ('pygments.lexers.parsers', 'Ragel', ('ragel',), (), ()),
'RagelObjectiveCLexer': ('pygments.lexers.parsers', 'Ragel in Objective C Host', ('ragel-objc',), ('*.rl',), ()),
'RagelRubyLexer': ('pygments.lexers.parsers', 'Ragel in Ruby Host', ('ragel-ruby', 'ragel-rb'), ('*.rl',), ()),
'RawTokenLexer': ('pygments.lexers.special', 'Raw token data', ('raw',), (), ('application/x-pygments-tokens',)),
'RdLexer': ('pygments.lexers.math', 'Rd', ('rd',), ('*.Rd',), ('text/x-r-doc',)),
'RebolLexer': ('pygments.lexers.other', 'REBOL', ('rebol',), ('*.r', '*.r3'), ('text/x-rebol',)),
'RedcodeLexer': ('pygments.lexers.other', 'Redcode', ('redcode',), ('*.cw',), ()),
'RegeditLexer': ('pygments.lexers.text', 'reg', ('registry',), ('*.reg',), ('text/x-windows-registry',)),
'RhtmlLexer': ('pygments.lexers.templates', 'RHTML', ('rhtml', 'html+erb', 'html+ruby'), ('*.rhtml',), ('text/html+ruby',)),
'RobotFrameworkLexer': ('pygments.lexers.other', 'RobotFramework', ('RobotFramework', 'robotframework'), ('*.txt', '*.robot'), ('text/x-robotframework',)),
'RstLexer': ('pygments.lexers.text', 'reStructuredText', ('rst', 'rest', 'restructuredtext'), ('*.rst', '*.rest'), ('text/x-rst', 'text/prs.fallenstein.rst')),
'RubyConsoleLexer': ('pygments.lexers.agile', 'Ruby irb session', ('rbcon', 'irb'), (), ('text/x-ruby-shellsession',)),
'RubyLexer': ('pygments.lexers.agile', 'Ruby', ('rb', 'ruby', 'duby'), ('*.rb', '*.rbw', 'Rakefile', '*.rake', '*.gemspec', '*.rbx', '*.duby'), ('text/x-ruby', 'application/x-ruby')),
'RustLexer': ('pygments.lexers.compiled', 'Rust', ('rust',), ('*.rs', '*.rc'), ('text/x-rustsrc',)),
'SLexer': ('pygments.lexers.math', 'S', ('splus', 's', 'r'), ('*.S', '*.R', '.Rhistory', '.Rprofile'), ('text/S-plus', 'text/S', 'text/x-r-source', 'text/x-r', 'text/x-R', 'text/x-r-history', 'text/x-r-profile')),
'SMLLexer': ('pygments.lexers.functional', 'Standard ML', ('sml',), ('*.sml', '*.sig', '*.fun'), ('text/x-standardml', 'application/x-standardml')),
'SassLexer': ('pygments.lexers.web', 'Sass', ('sass', 'SASS'), ('*.sass',), ('text/x-sass',)),
'ScalaLexer': ('pygments.lexers.jvm', 'Scala', ('scala',), ('*.scala',), ('text/x-scala',)),
'ScamlLexer': ('pygments.lexers.web', 'Scaml', ('scaml', 'SCAML'), ('*.scaml',), ('text/x-scaml',)),
'SchemeLexer': ('pygments.lexers.functional', 'Scheme', ('scheme', 'scm'), ('*.scm', '*.ss'), ('text/x-scheme', 'application/x-scheme')),
'ScilabLexer': ('pygments.lexers.math', 'Scilab', ('scilab',), ('*.sci', '*.sce', '*.tst'), ('text/scilab',)),
'ScssLexer': ('pygments.lexers.web', 'SCSS', ('scss',), ('*.scss',), ('text/x-scss',)),
'ShellSessionLexer': ('pygments.lexers.shell', 'Shell Session', ('shell-session',), ('*.shell-session',), ('application/x-sh-session',)),
'SmaliLexer': ('pygments.lexers.dalvik', 'Smali', ('smali',), ('*.smali',), ('text/smali',)),
'SmalltalkLexer': ('pygments.lexers.other', 'Smalltalk', ('smalltalk', 'squeak'), ('*.st',), ('text/x-smalltalk',)),
'SmartyLexer': ('pygments.lexers.templates', 'Smarty', ('smarty',), ('*.tpl',), ('application/x-smarty',)),
'SnobolLexer': ('pygments.lexers.other', 'Snobol', ('snobol',), ('*.snobol',), ('text/x-snobol',)),
'SourcePawnLexer': ('pygments.lexers.other', 'SourcePawn', ('sp',), ('*.sp',), ('text/x-sourcepawn',)),
'SourcesListLexer': ('pygments.lexers.text', 'Debian Sourcelist', ('sourceslist', 'sources.list'), ('sources.list',), ()),
'SqlLexer': ('pygments.lexers.sql', 'SQL', ('sql',), ('*.sql',), ('text/x-sql',)),
'SqliteConsoleLexer': ('pygments.lexers.sql', 'sqlite3con', ('sqlite3',), ('*.sqlite3-console',), ('text/x-sqlite3-console',)),
'SquidConfLexer': ('pygments.lexers.text', 'SquidConf', ('squidconf', 'squid.conf', 'squid'), ('squid.conf',), ('text/x-squidconf',)),
'SspLexer': ('pygments.lexers.templates', 'Scalate Server Page', ('ssp',), ('*.ssp',), ('application/x-ssp',)),
'StanLexer': ('pygments.lexers.math', 'Stan', ('stan',), ('*.stan',), ()),
'SystemVerilogLexer': ('pygments.lexers.hdl', 'systemverilog', ('systemverilog', 'sv'), ('*.sv', '*.svh'), ('text/x-systemverilog',)),
'TclLexer': ('pygments.lexers.agile', 'Tcl', ('tcl',), ('*.tcl',), ('text/x-tcl', 'text/x-script.tcl', 'application/x-tcl')),
'TcshLexer': ('pygments.lexers.shell', 'Tcsh', ('tcsh', 'csh'), ('*.tcsh', '*.csh'), ('application/x-csh',)),
'TeaTemplateLexer': ('pygments.lexers.templates', 'Tea', ('tea',), ('*.tea',), ('text/x-tea',)),
'TexLexer': ('pygments.lexers.text', 'TeX', ('tex', 'latex'), ('*.tex', '*.aux', '*.toc'), ('text/x-tex', 'text/x-latex')),
'TextLexer': ('pygments.lexers.special', 'Text only', ('text',), ('*.txt',), ('text/plain',)),
'TreetopLexer': ('pygments.lexers.parsers', 'Treetop', ('treetop',), ('*.treetop', '*.tt'), ()),
'TypeScriptLexer': ('pygments.lexers.web', 'TypeScript', ('ts',), ('*.ts',), ('text/x-typescript',)),
'UrbiscriptLexer': ('pygments.lexers.other', 'UrbiScript', ('urbiscript',), ('*.u',), ('application/x-urbiscript',)),
'VGLLexer': ('pygments.lexers.other', 'VGL', ('vgl',), ('*.rpf',), ()),
'ValaLexer': ('pygments.lexers.compiled', 'Vala', ('vala', 'vapi'), ('*.vala', '*.vapi'), ('text/x-vala',)),
'VbNetAspxLexer': ('pygments.lexers.dotnet', 'aspx-vb', ('aspx-vb',), ('*.aspx', '*.asax', '*.ascx', '*.ashx', '*.asmx', '*.axd'), ()),
'VbNetLexer': ('pygments.lexers.dotnet', 'VB.net', ('vb.net', 'vbnet'), ('*.vb', '*.bas'), ('text/x-vbnet', 'text/x-vba')),
'VelocityHtmlLexer': ('pygments.lexers.templates', 'HTML+Velocity', ('html+velocity',), (), ('text/html+velocity',)),
'VelocityLexer': ('pygments.lexers.templates', 'Velocity', ('velocity',), ('*.vm', '*.fhtml'), ()),
'VelocityXmlLexer': ('pygments.lexers.templates', 'XML+Velocity', ('xml+velocity',), (), ('application/xml+velocity',)),
'VerilogLexer': ('pygments.lexers.hdl', 'verilog', ('verilog', 'v'), ('*.v',), ('text/x-verilog',)),
'VhdlLexer': ('pygments.lexers.hdl', 'vhdl', ('vhdl',), ('*.vhdl', '*.vhd'), ('text/x-vhdl',)),
'VimLexer': ('pygments.lexers.text', 'VimL', ('vim',), ('*.vim', '.vimrc', '.exrc', '.gvimrc', '_vimrc', '_exrc', '_gvimrc', 'vimrc', 'gvimrc'), ('text/x-vim',)),
'XQueryLexer': ('pygments.lexers.web', 'XQuery', ('xquery', 'xqy', 'xq', 'xql', 'xqm'), ('*.xqy', '*.xquery', '*.xq', '*.xql', '*.xqm'), ('text/xquery', 'application/xquery')),
'XmlDjangoLexer': ('pygments.lexers.templates', 'XML+Django/Jinja', ('xml+django', 'xml+jinja'), (), ('application/xml+django', 'application/xml+jinja')),
'XmlErbLexer': ('pygments.lexers.templates', 'XML+Ruby', ('xml+erb', 'xml+ruby'), (), ('application/xml+ruby',)),
'XmlLexer': ('pygments.lexers.web', 'XML', ('xml',), ('*.xml', '*.xsl', '*.rss', '*.xslt', '*.xsd', '*.wsdl'), ('text/xml', 'application/xml', 'image/svg+xml', 'application/rss+xml', 'application/atom+xml')),
'XmlPhpLexer': ('pygments.lexers.templates', 'XML+PHP', ('xml+php',), (), ('application/xml+php',)),
'XmlSmartyLexer': ('pygments.lexers.templates', 'XML+Smarty', ('xml+smarty',), (), ('application/xml+smarty',)),
'XsltLexer': ('pygments.lexers.web', 'XSLT', ('xslt',), ('*.xsl', '*.xslt', '*.xpl'), ('application/xsl+xml', 'application/xslt+xml')),
'XtendLexer': ('pygments.lexers.jvm', 'Xtend', ('xtend',), ('*.xtend',), ('text/x-xtend',)),
'YamlLexer': ('pygments.lexers.text', 'YAML', ('yaml',), ('*.yaml', '*.yml'), ('text/x-yaml',)),
}
if __name__ == '__main__':
import sys
import os
# lookup lexers
found_lexers = []
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'))
for filename in os.listdir('.'):
if filename.endswith('.py') and not filename.startswith('_'):
module_name = 'pygments.lexers.%s' % filename[:-3]
print module_name
module = __import__(module_name, None, None, [''])
for lexer_name in module.__all__:
lexer = getattr(module, lexer_name)
found_lexers.append(
'%r: %r' % (lexer_name,
(module_name,
lexer.name,
tuple(lexer.aliases),
tuple(lexer.filenames),
tuple(lexer.mimetypes))))
# sort them, that should make the diff files for svn smaller
found_lexers.sort()
# extract useful sourcecode from this file
f = open(__file__)
try:
content = f.read()
finally:
f.close()
header = content[:content.find('LEXERS = {')]
footer = content[content.find("if __name__ == '__main__':"):]
# write new file
f = open(__file__, 'wb')
f.write(header)
f.write('LEXERS = {\n %s,\n}\n\n' % ',\n '.join(found_lexers))
f.write(footer)
f.close()
| cc0-1.0 |
Mistobaan/tensorflow | tensorflow/contrib/layers/python/layers/regularizers.py | 82 | 7339 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Regularizers for use with layers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numbers
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import nn
from tensorflow.python.ops import standard_ops
from tensorflow.python.platform import tf_logging as logging
__all__ = ['l1_regularizer',
'l2_regularizer',
'l1_l2_regularizer',
'sum_regularizer',
'apply_regularization']
def l1_regularizer(scale, scope=None):
"""Returns a function that can be used to apply L1 regularization to weights.
L1 regularization encourages sparsity.
Args:
scale: A scalar multiplier `Tensor`. 0.0 disables the regularizer.
scope: An optional scope name.
Returns:
A function with signature `l1(weights)` that apply L1 regularization.
Raises:
ValueError: If scale is negative or if scale is not a float.
"""
if isinstance(scale, numbers.Integral):
raise ValueError('scale cannot be an integer: %s' % scale)
if isinstance(scale, numbers.Real):
if scale < 0.:
raise ValueError('Setting a scale less than 0 on a regularizer: %g' %
scale)
if scale == 0.:
logging.info('Scale of 0 disables regularizer.')
return lambda _: None
def l1(weights, name=None):
"""Applies L1 regularization to weights."""
with ops.name_scope(scope, 'l1_regularizer', [weights]) as name:
my_scale = ops.convert_to_tensor(scale,
dtype=weights.dtype.base_dtype,
name='scale')
return standard_ops.multiply(
my_scale,
standard_ops.reduce_sum(standard_ops.abs(weights)),
name=name)
return l1
def l2_regularizer(scale, scope=None):
"""Returns a function that can be used to apply L2 regularization to weights.
Small values of L2 can help prevent overfitting the training data.
Args:
scale: A scalar multiplier `Tensor`. 0.0 disables the regularizer.
scope: An optional scope name.
Returns:
A function with signature `l2(weights)` that applies L2 regularization.
Raises:
ValueError: If scale is negative or if scale is not a float.
"""
if isinstance(scale, numbers.Integral):
raise ValueError('scale cannot be an integer: %s' % (scale,))
if isinstance(scale, numbers.Real):
if scale < 0.:
raise ValueError('Setting a scale less than 0 on a regularizer: %g.' %
scale)
if scale == 0.:
logging.info('Scale of 0 disables regularizer.')
return lambda _: None
def l2(weights):
"""Applies l2 regularization to weights."""
with ops.name_scope(scope, 'l2_regularizer', [weights]) as name:
my_scale = ops.convert_to_tensor(scale,
dtype=weights.dtype.base_dtype,
name='scale')
return standard_ops.multiply(my_scale, nn.l2_loss(weights), name=name)
return l2
def l1_l2_regularizer(scale_l1=1.0, scale_l2=1.0, scope=None):
"""Returns a function that can be used to apply L1 L2 regularizations.
Args:
scale_l1: A scalar multiplier `Tensor` for L1 regularization.
scale_l2: A scalar multiplier `Tensor` for L2 regularization.
scope: An optional scope name.
Returns:
A function with signature `l1_l2(weights)` that applies a weighted sum of
L1 L2 regularization.
Raises:
ValueError: If scale is negative or if scale is not a float.
"""
if isinstance(scale_l1, numbers.Integral):
raise ValueError('scale_l1 cannot be an integer: %s' % (scale_l1,))
if isinstance(scale_l2, numbers.Integral):
raise ValueError('scale_l2 cannot be an integer: %s' % (scale_l2,))
scope = scope or 'l1_l2_regularizer'
if scale_l1 == 0.:
return l2_regularizer(scale_l2, scope)
if scale_l2 == 0.:
return l1_regularizer(scale_l1, scope)
return sum_regularizer([l1_regularizer(scale_l1),
l2_regularizer(scale_l2)],
scope=scope)
def sum_regularizer(regularizer_list, scope=None):
"""Returns a function that applies the sum of multiple regularizers.
Args:
regularizer_list: A list of regularizers to apply.
scope: An optional scope name
Returns:
A function with signature `sum_reg(weights)` that applies the
sum of all the input regularizers.
"""
regularizer_list = [reg for reg in regularizer_list if reg is not None]
if not regularizer_list:
return None
def sum_reg(weights):
"""Applies the sum of all the input regularizers."""
with ops.name_scope(scope, 'sum_regularizer', [weights]) as name:
regularizer_tensors = [reg(weights) for reg in regularizer_list]
return math_ops.add_n(regularizer_tensors, name=name)
return sum_reg
def apply_regularization(regularizer, weights_list=None):
"""Returns the summed penalty by applying `regularizer` to the `weights_list`.
Adding a regularization penalty over the layer weights and embedding weights
can help prevent overfitting the training data. Regularization over layer
biases is less common/useful, but assuming proper data preprocessing/mean
subtraction, it usually shouldn't hurt much either.
Args:
regularizer: A function that takes a single `Tensor` argument and returns
a scalar `Tensor` output.
weights_list: List of weights `Tensors` or `Variables` to apply
`regularizer` over. Defaults to the `GraphKeys.WEIGHTS` collection if
`None`.
Returns:
A scalar representing the overall regularization penalty.
Raises:
ValueError: If `regularizer` does not return a scalar output, or if we find
no weights.
"""
if not weights_list:
weights_list = ops.get_collection(ops.GraphKeys.WEIGHTS)
if not weights_list:
raise ValueError('No weights to regularize.')
with ops.name_scope('get_regularization_penalty',
values=weights_list) as scope:
penalties = [regularizer(w) for w in weights_list]
penalties = [
p if p is not None else constant_op.constant(0.0) for p in penalties
]
for p in penalties:
if p.get_shape().ndims != 0:
raise ValueError('regularizer must return a scalar Tensor instead of a '
'Tensor with rank %d.' % p.get_shape().ndims)
summed_penalty = math_ops.add_n(penalties, name=scope)
ops.add_to_collection(ops.GraphKeys.REGULARIZATION_LOSSES, summed_penalty)
return summed_penalty
| apache-2.0 |
baris/pushmanager | testing/testdb.py | 1 | 4248 | #!/usr/bin/python
from datetime import datetime, timedelta
import os
import sqlite3
import tempfile
import time
from core import db
def create_temp_db_file():
fd, db_file_path = tempfile.mkstemp(suffix="pushmanager.db")
os.close(fd)
return db_file_path
def get_temp_db_uri(dbfile=None):
if not dbfile:
dbfile = create_temp_db_file()
return "sqlite:///" + dbfile
def make_test_db(dbfile=None):
if not dbfile:
dbfile = create_temp_db_file()
testsql = open(
os.path.join(
os.path.dirname(__file__),
"testdb.sql"
)
).read()
test_db = sqlite3.connect(dbfile)
test_db.cursor().executescript(testsql)
test_db.commit()
test_db.close()
return dbfile
class FakeDataMixin(object):
now = time.time()
yesterday = time.mktime((datetime.now() - timedelta(days=1)).timetuple())
push_data = [
[10, 'OnePush', 'bmetin', 'deploy-1', 'abc', 'live', yesterday, now, 'regular', ''],
[11, 'TwoPush', 'troscoe', 'deploy-2', 'def', 'accepting', now, now, 'regular', ''],
[12, 'RedPush', 'heyjoe', 'deploy-3', 'ghi', 'accepting', now, now, 'regular', ''],
[13, 'BluePush', 'humpty', 'deploy-4', 'jkl', 'accepting', now, now, 'regular', ''],
]
push_keys = [
'id', 'title', 'user', 'branch', 'revision', 'state',
'created', 'modified', 'pushtype', 'extra_pings'
]
fake_revision = "0"*40
request_data = [
[10, 'keysersoze', 'requested', 'keysersoze', 'usual_fix', '', now, now, 'Fix stuff', 'no comment', 12345, '', fake_revision],
[11, 'bmetin', 'requested', 'bmetin', 'fix1', '', now, now, 'Fixing more stuff', 'yes comment', 234, '', fake_revision],
[12, 'testuser1', 'requested', 'testuser2', 'fix1', 'search', now, now, 'Fixing1', 'no comment', 123, '', fake_revision],
[13, 'testuser2', 'requested', 'testuser2', 'fix2', 'search', now, now, 'Fixing2', 'yes comment', 456, '', fake_revision],
]
request_keys = [
'id', 'user', 'state', 'repo', 'branch', 'tags', 'created', 'modified',
'title', 'comments', 'reviewid', 'description', 'revision'
]
def on_db_return(self, success, db_results):
assert success
def make_push_dict(self, data):
return dict(zip(self.push_keys, data))
def make_request_dict(self, data):
return dict(zip(self.request_keys, data))
def insert_pushes(self):
push_queries = []
for pd in self.push_data:
push_queries.append(db.push_pushes.insert(self.make_push_dict(pd)))
db.execute_transaction_cb(push_queries, self.on_db_return)
def insert_requests(self):
request_queries = []
for rd in self.request_data:
request_queries.append(db.push_requests.insert(self.make_request_dict(rd)))
db.execute_transaction_cb(request_queries, self.on_db_return)
def insert_pushcontent(self, requestid, pushid):
db.execute_cb(
db.push_pushcontents.insert({'request': requestid, 'push': pushid}),
self.on_db_return
)
def get_push_for_request(self, requestid):
pushid = [None]
def on_select_return(success, db_results):
assert success
_, pushid[0] = db_results.fetchone()
# check if we have a push in with request
first_pushcontent_query = db.push_pushcontents.select(
db.push_pushcontents.c.request == requestid
)
db.execute_cb(first_pushcontent_query, on_select_return)
return pushid[0]
def get_pushes(self):
pushes = [None]
def on_select_return(success, db_results):
assert success
pushes[0] = db_results.fetchall()
db.execute_cb(db.push_pushes.select(), on_select_return)
return pushes[0]
def get_requests(self):
requests = [None]
def on_select_return(success, db_results):
assert success
requests[0] = db_results.fetchall()
db.execute_cb(db.push_requests.select(), on_select_return)
return requests[0]
def get_requests_by_user(self, user):
return [req for req in self.get_requests() if req['user'] == user]
| apache-2.0 |
c2theg/DDoS_Information_Sharing | libraries/suds-jurko-0.6/suds/properties.py | 18 | 15900 | # This program is free software; you can redistribute it and/or modify
# it under the terms of the (LGPL) GNU Lesser General Public License as
# published by the Free Software Foundation; either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Library Lesser General Public License for more details at
# ( http://www.gnu.org/licenses/lgpl.html ).
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
# written by: Jeff Ortel ( jortel@redhat.com )
"""
Properties classes.
"""
class AutoLinker(object):
"""
Base class, provides interface for I{automatic} link
management between a L{Properties} object and the L{Properties}
contained within I{values}.
"""
def updated(self, properties, prev, next):
"""
Notification that a values was updated and the linkage
between the I{properties} contained with I{prev} need to
be relinked to the L{Properties} contained within the
I{next} value.
"""
pass
class Link(object):
"""
Property link object.
@ivar endpoints: A tuple of the (2) endpoints of the link.
@type endpoints: tuple(2)
"""
def __init__(self, a, b):
"""
@param a: Property (A) to link.
@type a: L{Property}
@param b: Property (B) to link.
@type b: L{Property}
"""
pA = Endpoint(self, a)
pB = Endpoint(self, b)
self.endpoints = (pA, pB)
self.validate(a, b)
a.links.append(pB)
b.links.append(pA)
def validate(self, pA, pB):
"""
Validate that the two properties may be linked.
@param pA: Endpoint (A) to link.
@type pA: L{Endpoint}
@param pB: Endpoint (B) to link.
@type pB: L{Endpoint}
@return: self
@rtype: L{Link}
"""
if pA in pB.links or \
pB in pA.links:
raise Exception, 'Already linked'
dA = pA.domains()
dB = pB.domains()
for d in dA:
if d in dB:
raise Exception, 'Duplicate domain "%s" found' % d
for d in dB:
if d in dA:
raise Exception, 'Duplicate domain "%s" found' % d
kA = pA.keys()
kB = pB.keys()
for k in kA:
if k in kB:
raise Exception, 'Duplicate key %s found' % k
for k in kB:
if k in kA:
raise Exception, 'Duplicate key %s found' % k
return self
def teardown(self):
"""
Teardown the link.
Removes endpoints from properties I{links} collection.
@return: self
@rtype: L{Link}
"""
pA, pB = self.endpoints
if pA in pB.links:
pB.links.remove(pA)
if pB in pA.links:
pA.links.remove(pB)
return self
class Endpoint(object):
"""
Link endpoint (wrapper).
@ivar link: The associated link.
@type link: L{Link}
@ivar target: The properties object.
@type target: L{Property}
"""
def __init__(self, link, target):
self.link = link
self.target = target
def teardown(self):
return self.link.teardown()
def __eq__(self, rhs):
return ( self.target == rhs )
def __hash__(self):
return hash(self.target)
def __getattr__(self, name):
return getattr(self.target, name)
class Definition:
"""
Property definition.
@ivar name: The property name.
@type name: str
@ivar classes: The (class) list of permitted values
@type classes: tuple
@ivar default: The default value.
@ivar type: any
"""
def __init__(self, name, classes, default, linker=AutoLinker()):
"""
@param name: The property name.
@type name: str
@param classes: The (class) list of permitted values
@type classes: tuple
@param default: The default value.
@type default: any
"""
if not isinstance(classes, (list, tuple)):
classes = (classes,)
self.name = name
self.classes = classes
self.default = default
self.linker = linker
def nvl(self, value=None):
"""
Convert the I{value} into the default when I{None}.
@param value: The proposed value.
@type value: any
@return: The I{default} when I{value} is I{None}, else I{value}.
@rtype: any
"""
if value is None:
return self.default
else:
return value
def validate(self, value):
"""
Validate the I{value} is of the correct class.
@param value: The value to validate.
@type value: any
@raise AttributeError: When I{value} is invalid.
"""
if value is None:
return
if len(self.classes) and \
not isinstance(value, self.classes):
msg = '"%s" must be: %s' % (self.name, self.classes)
raise AttributeError,msg
def __repr__(self):
return '%s: %s' % (self.name, str(self))
def __str__(self):
s = []
if len(self.classes):
s.append('classes=%s' % str(self.classes))
else:
s.append('classes=*')
s.append("default=%s" % str(self.default))
return ', '.join(s)
class Properties:
"""
Represents basic application properties.
Provides basic type validation, default values and
link/synchronization behavior.
@ivar domain: The domain name.
@type domain: str
@ivar definitions: A table of property definitions.
@type definitions: {name: L{Definition}}
@ivar links: A list of linked property objects used to create
a network of properties.
@type links: [L{Property},..]
@ivar defined: A dict of property values.
@type defined: dict
"""
def __init__(self, domain, definitions, kwargs):
"""
@param domain: The property domain name.
@type domain: str
@param definitions: A table of property definitions.
@type definitions: {name: L{Definition}}
@param kwargs: A list of property name/values to set.
@type kwargs: dict
"""
self.definitions = {}
for d in definitions:
self.definitions[d.name] = d
self.domain = domain
self.links = []
self.defined = {}
self.modified = set()
self.prime()
self.update(kwargs)
def definition(self, name):
"""
Get the definition for the property I{name}.
@param name: The property I{name} to find the definition for.
@type name: str
@return: The property definition
@rtype: L{Definition}
@raise AttributeError: On not found.
"""
d = self.definitions.get(name)
if d is None:
raise AttributeError(name)
return d
def update(self, other):
"""
Update the property values as specified by keyword/value.
@param other: An object to update from.
@type other: (dict|L{Properties})
@return: self
@rtype: L{Properties}
"""
if isinstance(other, Properties):
other = other.defined
for n,v in other.items():
self.set(n, v)
return self
def notset(self, name):
"""
Get whether a property has never been set by I{name}.
@param name: A property name.
@type name: str
@return: True if never been set.
@rtype: bool
"""
self.provider(name).__notset(name)
def set(self, name, value):
"""
Set the I{value} of a property by I{name}.
The value is validated against the definition and set
to the default when I{value} is None.
@param name: The property name.
@type name: str
@param value: The new property value.
@type value: any
@return: self
@rtype: L{Properties}
"""
self.provider(name).__set(name, value)
return self
def unset(self, name):
"""
Unset a property by I{name}.
@param name: A property name.
@type name: str
@return: self
@rtype: L{Properties}
"""
self.provider(name).__set(name, None)
return self
def get(self, name, *df):
"""
Get the value of a property by I{name}.
@param name: The property name.
@type name: str
@param df: An optional value to be returned when the value
is not set
@type df: [1].
@return: The stored value, or I{df[0]} if not set.
@rtype: any
"""
return self.provider(name).__get(name, *df)
def link(self, other):
"""
Link (associate) this object with anI{other} properties object
to create a network of properties. Links are bidirectional.
@param other: The object to link.
@type other: L{Properties}
@return: self
@rtype: L{Properties}
"""
Link(self, other)
return self
def unlink(self, *others):
"""
Unlink (disassociate) the specified properties object.
@param others: The list object to unlink. Unspecified means unlink all.
@type others: [L{Properties},..]
@return: self
@rtype: L{Properties}
"""
if not len(others):
others = self.links[:]
for p in self.links[:]:
if p in others:
p.teardown()
return self
def provider(self, name, history=None):
"""
Find the provider of the property by I{name}.
@param name: The property name.
@type name: str
@param history: A history of nodes checked to prevent
circular hunting.
@type history: [L{Properties},..]
@return: The provider when found. Otherwise, None (when nested)
and I{self} when not nested.
@rtype: L{Properties}
"""
if history is None:
history = []
history.append(self)
if name in self.definitions:
return self
for x in self.links:
if x in history:
continue
provider = x.provider(name, history)
if provider is not None:
return provider
history.remove(self)
if len(history):
return None
return self
def keys(self, history=None):
"""
Get the set of I{all} property names.
@param history: A history of nodes checked to prevent
circular hunting.
@type history: [L{Properties},..]
@return: A set of property names.
@rtype: list
"""
if history is None:
history = []
history.append(self)
keys = set()
keys.update(self.definitions.keys())
for x in self.links:
if x in history:
continue
keys.update(x.keys(history))
history.remove(self)
return keys
def domains(self, history=None):
"""
Get the set of I{all} domain names.
@param history: A history of nodes checked to prevent
circular hunting.
@type history: [L{Properties},..]
@return: A set of domain names.
@rtype: list
"""
if history is None:
history = []
history.append(self)
domains = set()
domains.add(self.domain)
for x in self.links:
if x in history:
continue
domains.update(x.domains(history))
history.remove(self)
return domains
def prime(self):
"""
Prime the stored values based on default values
found in property definitions.
@return: self
@rtype: L{Properties}
"""
for d in self.definitions.values():
self.defined[d.name] = d.default
return self
def __notset(self, name):
return not (name in self.modified)
def __set(self, name, value):
d = self.definition(name)
d.validate(value)
value = d.nvl(value)
prev = self.defined[name]
self.defined[name] = value
self.modified.add(name)
d.linker.updated(self, prev, value)
def __get(self, name, *df):
d = self.definition(name)
value = self.defined.get(name)
if value == d.default and len(df):
value = df[0]
return value
def str(self, history):
s = []
s.append('Definitions:')
for d in self.definitions.values():
s.append('\t%s' % repr(d))
s.append('Content:')
for d in self.defined.items():
s.append('\t%s' % str(d))
if self not in history:
history.append(self)
s.append('Linked:')
for x in self.links:
s.append(x.str(history))
history.remove(self)
return '\n'.join(s)
def __repr__(self):
return str(self)
def __str__(self):
return self.str([])
class Skin(object):
"""
The meta-programming I{skin} around the L{Properties} object.
@ivar __pts__: The wrapped object.
@type __pts__: L{Properties}.
"""
def __init__(self, domain, definitions, kwargs):
self.__pts__ = Properties(domain, definitions, kwargs)
def __setattr__(self, name, value):
builtin = name.startswith('__') and name.endswith('__')
if builtin:
self.__dict__[name] = value
return
self.__pts__.set(name, value)
def __getattr__(self, name):
return self.__pts__.get(name)
def __repr__(self):
return str(self)
def __str__(self):
return str(self.__pts__)
class Unskin(object):
def __new__(self, *args, **kwargs):
return args[0].__pts__
class Inspector:
"""
Wrapper inspector.
"""
def __init__(self, options):
self.properties = options.__pts__
def get(self, name, *df):
"""
Get the value of a property by I{name}.
@param name: The property name.
@type name: str
@param df: An optional value to be returned when the value
is not set
@type df: [1].
@return: The stored value, or I{df[0]} if not set.
@rtype: any
"""
return self.properties.get(name, *df)
def update(self, **kwargs):
"""
Update the property values as specified by keyword/value.
@param kwargs: A list of property name/values to set.
@type kwargs: dict
@return: self
@rtype: L{Properties}
"""
return self.properties.update(**kwargs)
def link(self, other):
"""
Link (associate) this object with anI{other} properties object
to create a network of properties. Links are bidirectional.
@param other: The object to link.
@type other: L{Properties}
@return: self
@rtype: L{Properties}
"""
p = other.__pts__
return self.properties.link(p)
def unlink(self, other):
"""
Unlink (disassociate) the specified properties object.
@param other: The object to unlink.
@type other: L{Properties}
@return: self
@rtype: L{Properties}
"""
p = other.__pts__
return self.properties.unlink(p)
| mit |
andreashorn/lead_dbs | ext_libs/SlicerNetstim/WarpDrive/WarpDriveLib/Effects/Effect.py | 1 | 4254 | import vtk, qt, slicer
class AbstractEffect():
"""
One instance of this will be created per-view when the effect
is selected. It is responsible for implementing feedback and
label map changes in response to user input.
This class observes the editor parameter node to configure itself
and queries the current view for background and label volume
nodes to operate on.
"""
def __init__(self,sliceWidget):
# sliceWidget to operate on and convenience variables
# to access the internals
self.sliceWidget = sliceWidget
self.sliceLogic = sliceWidget.sliceLogic()
self.sliceView = self.sliceWidget.sliceView()
self.interactor = self.sliceView.interactorStyle().GetInteractor()
self.renderWindow = self.sliceWidget.sliceView().renderWindow()
self.renderer = self.renderWindow.GetRenderers().GetItemAsObject(0)
#self.editUtil = EditUtil.EditUtil()
# optionally set by users of the class
self.undoRedo = None
# actors in the renderer that need to be cleaned up on destruction
self.actors = []
# the current operation
self.actionState = None
# set up observers on the interactor
# - keep track of tags so these can be removed later
# - currently all editor effects are restricted to these events
# - make the observers high priority so they can override other
# event processors
self.interactorObserverTags = []
events = ( vtk.vtkCommand.LeftButtonPressEvent,
vtk.vtkCommand.LeftButtonReleaseEvent,
vtk.vtkCommand.MiddleButtonPressEvent,
vtk.vtkCommand.MiddleButtonReleaseEvent,
vtk.vtkCommand.RightButtonPressEvent,
vtk.vtkCommand.RightButtonReleaseEvent,
vtk.vtkCommand.LeftButtonDoubleClickEvent,
vtk.vtkCommand.MouseMoveEvent,
vtk.vtkCommand.KeyPressEvent,
vtk.vtkCommand.KeyReleaseEvent,
vtk.vtkCommand.EnterEvent,
vtk.vtkCommand.LeaveEvent,
vtk.vtkCommand.MouseWheelForwardEvent,
vtk.vtkCommand.MouseWheelBackwardEvent)
for e in events:
tag = self.interactor.AddObserver(e, self.processEvent, 1.0)
self.interactorObserverTags.append(tag)
self.sliceNodeTags = []
sliceNode = self.sliceLogic.GetSliceNode()
tag = sliceNode.AddObserver(vtk.vtkCommand.ModifiedEvent, self.processEvent, 1.0)
self.sliceNodeTags.append(tag)
# spot for tracking the current cursor while it is turned off for paining
self.savedCursor = None
def processEvent(self, caller=None, event=None):
"""Event filter that lisens for certain key events that
should be responded to by all events.
Currently:
'\\' - pick up paint color from current location (eyedropper)
"""
if event == "KeyPressEvent":
key = self.interactor.GetKeySym()
if key.lower() == 's':
return True
return False
def cursorOff(self):
"""Turn off and save the current cursor so
the user can see the background image during editing"""
qt.QApplication.setOverrideCursor(qt.QCursor(10))
#self.savedCursor = self.sliceWidget.cursor
#qt_BlankCursor = 10
#self.sliceWidget.setCursor(qt.QCursor(qt_BlankCursor))
def cursorOn(self):
"""Restore the saved cursor if it exists, otherwise
just restore the default cursor"""
qt.QApplication.restoreOverrideCursor()
#if self.savedCursor:
# self.sliceWidget.setCursor(self.savedCursor)
#else:
# self.sliceWidget.unsetCursor()
def abortEvent(self,event):
"""Set the AbortFlag on the vtkCommand associated
with the event - causes other things listening to the
interactor not to receive the events"""
# TODO: make interactorObserverTags a map to we can
# explicitly abort just the event we handled - it will
# be slightly more efficient
for tag in self.interactorObserverTags:
cmd = self.interactor.GetCommand(tag)
cmd.SetAbortFlag(1)
def cleanup(self):
"""clean up actors and observers"""
for a in self.actors:
self.renderer.RemoveActor2D(a)
self.sliceView.scheduleRender()
for tag in self.interactorObserverTags:
self.interactor.RemoveObserver(tag)
sliceNode = self.sliceLogic.GetSliceNode()
for tag in self.sliceNodeTags:
sliceNode.RemoveObserver(tag)
| gpl-3.0 |
quattor/aquilon | lib/aquilon/worker/commands/add_service.py | 2 | 1676 | # -*- cpy-indent-level: 4; indent-tabs-mode: nil -*-
# ex: set expandtab softtabstop=4 shiftwidth=4:
#
# Copyright (C) 2008,2009,2010,2011,2012,2013,2016 Contributor
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Contains the logic for `aq add service`."""
from aquilon.exceptions_ import AuthorizationException
from aquilon.aqdb.model import Service
from aquilon.worker.broker import BrokerCommand
class CommandAddService(BrokerCommand):
requires_plenaries = True
required_parameters = ["service"]
def render(self, session, plenaries, dbuser, service, need_client_list,
allow_alias_bindings, comments, **_):
Service.get_unique(session, service, preclude=True)
if dbuser.role.name != 'aqd_admin' and allow_alias_bindings is not None:
raise AuthorizationException("Only AQD admin can set allowing alias bindings")
dbservice = Service(name=service, comments=comments,
need_client_list=need_client_list, allow_alias_bindings=allow_alias_bindings)
session.add(dbservice)
plenaries.add(dbservice)
session.flush()
plenaries.write()
return
| apache-2.0 |
bertucho/epic-movie-quotes-quiz | dialogos/build/Twisted/twisted/internet/test/test_glibbase.py | 39 | 2284 | # Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for twisted.internet.glibbase.
"""
from __future__ import division, absolute_import
import sys
from twisted.trial.unittest import TestCase
from twisted.internet._glibbase import ensureNotImported
class EnsureNotImportedTests(TestCase):
"""
L{ensureNotImported} protects against unwanted past and future imports.
"""
def test_ensureWhenNotImported(self):
"""
If the specified modules have never been imported, and import
prevention is requested, L{ensureNotImported} makes sure they will not
be imported in the future.
"""
modules = {}
self.patch(sys, "modules", modules)
ensureNotImported(["m1", "m2"], "A message.",
preventImports=["m1", "m2", "m3"])
self.assertEqual(modules, {"m1": None, "m2": None, "m3": None})
def test_ensureWhenNotImportedDontPrevent(self):
"""
If the specified modules have never been imported, and import
prevention is not requested, L{ensureNotImported} has no effect.
"""
modules = {}
self.patch(sys, "modules", modules)
ensureNotImported(["m1", "m2"], "A message.")
self.assertEqual(modules, {})
def test_ensureWhenFailedToImport(self):
"""
If the specified modules have been set to C{None} in C{sys.modules},
L{ensureNotImported} does not complain.
"""
modules = {"m2": None}
self.patch(sys, "modules", modules)
ensureNotImported(["m1", "m2"], "A message.", preventImports=["m1", "m2"])
self.assertEqual(modules, {"m1": None, "m2": None})
def test_ensureFailsWhenImported(self):
"""
If one of the specified modules has been previously imported,
L{ensureNotImported} raises an exception.
"""
module = object()
modules = {"m2": module}
self.patch(sys, "modules", modules)
e = self.assertRaises(ImportError, ensureNotImported,
["m1", "m2"], "A message.",
preventImports=["m1", "m2"])
self.assertEqual(modules, {"m2": module})
self.assertEqual(e.args, ("A message.",))
| mit |
marcoantoniooliveira/labweb | oscar/apps/order/south_migrations/0027_no_null_in_charfields.py | 8 | 47820 | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import DataMigration
from django.db import models
from oscar.core.compat import AUTH_USER_MODEL, AUTH_USER_MODEL_NAME
class Migration(DataMigration):
def forwards(self, orm):
orm.Line.objects.filter(partner_name__isnull=True).update(partner_name='')
orm.Line.objects.filter(status__isnull=True).update(status='')
orm.Line.objects.filter(partner_line_reference__isnull=True).update(partner_line_reference='')
orm.Line.objects.filter(partner_line_notes__isnull=True).update(partner_line_notes='')
orm.OrderDiscount.objects.filter(offer_name__isnull=True).update(offer_name='')
orm.OrderDiscount.objects.filter(voucher_code__isnull=True).update(voucher_code='')
orm.OrderDiscount.objects.filter(message__isnull=True).update(message='')
orm.OrderNote.objects.filter(note_type__isnull=True).update(note_type='')
orm.Order.objects.filter(status__isnull=True).update(status='')
orm.Order.objects.filter(shipping_method__isnull=True).update(shipping_method='')
orm.Order.objects.filter(guest_email__isnull=True).update(guest_email='')
orm.BillingAddress.objects.filter(first_name__isnull=True).update(first_name='')
orm.BillingAddress.objects.filter(title__isnull=True).update(title='')
orm.BillingAddress.objects.filter(line4__isnull=True).update(line4='')
orm.BillingAddress.objects.filter(line3__isnull=True).update(line3='')
orm.BillingAddress.objects.filter(line2__isnull=True).update(line2='')
orm.BillingAddress.objects.filter(state__isnull=True).update(state='')
orm.BillingAddress.objects.filter(postcode__isnull=True).update(postcode='')
orm.ShippingEvent.objects.filter(notes__isnull=True).update(notes='')
orm.ShippingAddress.objects.filter(first_name__isnull=True).update(first_name='')
orm.ShippingAddress.objects.filter(title__isnull=True).update(title='')
orm.ShippingAddress.objects.filter(notes__isnull=True).update(notes='')
orm.ShippingAddress.objects.filter(line4__isnull=True).update(line4='')
orm.ShippingAddress.objects.filter(line3__isnull=True).update(line3='')
orm.ShippingAddress.objects.filter(line2__isnull=True).update(line2='')
orm.ShippingAddress.objects.filter(state__isnull=True).update(state='')
orm.ShippingAddress.objects.filter(postcode__isnull=True).update(postcode='')
def backwards(self, orm):
raise RuntimeError("Cannot reverse this migration.")
models = {
u'address.country': {
'Meta': {'ordering': "('-display_order', 'name')", 'object_name': 'Country'},
'display_order': ('django.db.models.fields.PositiveSmallIntegerField', [], {'default': '0', 'db_index': 'True'}),
'is_shipping_country': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'db_index': 'True'}),
'iso_3166_1_a2': ('django.db.models.fields.CharField', [], {'max_length': '2', 'primary_key': 'True'}),
'iso_3166_1_a3': ('django.db.models.fields.CharField', [], {'max_length': '3', 'null': 'True', 'db_index': 'True'}),
'iso_3166_1_numeric': ('django.db.models.fields.PositiveSmallIntegerField', [], {'null': 'True', 'db_index': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'printable_name': ('django.db.models.fields.CharField', [], {'max_length': '128'})
},
u'auth.group': {
'Meta': {'object_name': 'Group'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),
'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'})
},
u'auth.permission': {
'Meta': {'ordering': "(u'content_type__app_label', u'content_type__model', u'codename')", 'unique_together': "((u'content_type', u'codename'),)", 'object_name': 'Permission'},
'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['contenttypes.ContentType']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
},
AUTH_USER_MODEL: {
'Meta': {'object_name': AUTH_USER_MODEL_NAME},
'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'groups': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "u'user_set'", 'blank': 'True', 'to': u"orm['auth.Group']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "u'user_set'", 'blank': 'True', 'to': u"orm['auth.Permission']"}),
'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})
},
u'basket.basket': {
'Meta': {'object_name': 'Basket'},
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'date_merged': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'date_submitted': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'owner': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'baskets'", 'null': 'True', 'to': u"orm['{0}']".format(AUTH_USER_MODEL)}),
'status': ('django.db.models.fields.CharField', [], {'default': "'Open'", 'max_length': '128'}),
'vouchers': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': u"orm['voucher.Voucher']", 'null': 'True', 'blank': 'True'})
},
u'catalogue.attributeentity': {
'Meta': {'object_name': 'AttributeEntity'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'slug': ('django.db.models.fields.SlugField', [], {'max_length': '255', 'blank': 'True'}),
'type': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'entities'", 'to': u"orm['catalogue.AttributeEntityType']"})
},
u'catalogue.attributeentitytype': {
'Meta': {'object_name': 'AttributeEntityType'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'slug': ('django.db.models.fields.SlugField', [], {'max_length': '255', 'blank': 'True'})
},
u'catalogue.attributeoption': {
'Meta': {'object_name': 'AttributeOption'},
'group': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'options'", 'to': u"orm['catalogue.AttributeOptionGroup']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'option': ('django.db.models.fields.CharField', [], {'max_length': '255'})
},
u'catalogue.attributeoptiongroup': {
'Meta': {'object_name': 'AttributeOptionGroup'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '128'})
},
u'catalogue.category': {
'Meta': {'ordering': "['full_name']", 'object_name': 'Category'},
'depth': ('django.db.models.fields.PositiveIntegerField', [], {}),
'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'full_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'image': ('django.db.models.fields.files.ImageField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'numchild': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}),
'path': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255'}),
'slug': ('django.db.models.fields.SlugField', [], {'max_length': '255'})
},
u'catalogue.option': {
'Meta': {'object_name': 'Option'},
'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'type': ('django.db.models.fields.CharField', [], {'default': "'Required'", 'max_length': '128'})
},
u'catalogue.product': {
'Meta': {'ordering': "['-date_created']", 'object_name': 'Product'},
'attributes': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.ProductAttribute']", 'through': u"orm['catalogue.ProductAttributeValue']", 'symmetrical': 'False'}),
'categories': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.Category']", 'through': u"orm['catalogue.ProductCategory']", 'symmetrical': 'False'}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'date_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'db_index': 'True', 'blank': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_discountable': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'parent': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'variants'", 'null': 'True', 'to': u"orm['catalogue.Product']"}),
'product_class': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'products'", 'null': 'True', 'on_delete': 'models.PROTECT', 'to': u"orm['catalogue.ProductClass']"}),
'product_options': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.Option']", 'symmetrical': 'False', 'blank': 'True'}),
'rating': ('django.db.models.fields.FloatField', [], {'null': 'True'}),
'recommended_products': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.Product']", 'symmetrical': 'False', 'through': u"orm['catalogue.ProductRecommendation']", 'blank': 'True'}),
'related_products': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'relations'", 'blank': 'True', 'to': u"orm['catalogue.Product']"}),
'score': ('django.db.models.fields.FloatField', [], {'default': '0.0', 'db_index': 'True'}),
'slug': ('django.db.models.fields.SlugField', [], {'max_length': '255'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'upc': ('oscar.models.fields.NullCharField', [], {'max_length': '64', 'unique': 'True', 'null': 'True', 'blank': 'True'})
},
u'catalogue.productattribute': {
'Meta': {'ordering': "['code']", 'object_name': 'ProductAttribute'},
'code': ('django.db.models.fields.SlugField', [], {'max_length': '128'}),
'entity_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.AttributeEntityType']", 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'option_group': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.AttributeOptionGroup']", 'null': 'True', 'blank': 'True'}),
'product_class': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'attributes'", 'null': 'True', 'to': u"orm['catalogue.ProductClass']"}),
'required': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'type': ('django.db.models.fields.CharField', [], {'default': "'text'", 'max_length': '20'})
},
u'catalogue.productattributevalue': {
'Meta': {'object_name': 'ProductAttributeValue'},
'attribute': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.ProductAttribute']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'product': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'attribute_values'", 'to': u"orm['catalogue.Product']"}),
'value_boolean': ('django.db.models.fields.NullBooleanField', [], {'null': 'True', 'blank': 'True'}),
'value_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),
'value_entity': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.AttributeEntity']", 'null': 'True', 'blank': 'True'}),
'value_file': ('django.db.models.fields.files.FileField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'value_float': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'value_image': ('django.db.models.fields.files.ImageField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'value_integer': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'value_option': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.AttributeOption']", 'null': 'True', 'blank': 'True'}),
'value_richtext': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'value_text': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'})
},
u'catalogue.productcategory': {
'Meta': {'ordering': "['product', 'category']", 'object_name': 'ProductCategory'},
'category': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Category']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'product': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Product']"})
},
u'catalogue.productclass': {
'Meta': {'ordering': "['name']", 'object_name': 'ProductClass'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'options': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.Option']", 'symmetrical': 'False', 'blank': 'True'}),
'requires_shipping': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'slug': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}),
'track_stock': ('django.db.models.fields.BooleanField', [], {'default': 'True'})
},
u'catalogue.productrecommendation': {
'Meta': {'object_name': 'ProductRecommendation'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'primary': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'primary_recommendations'", 'to': u"orm['catalogue.Product']"}),
'ranking': ('django.db.models.fields.PositiveSmallIntegerField', [], {'default': '0'}),
'recommendation': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Product']"})
},
u'contenttypes.contenttype': {
'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"},
'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
u'customer.communicationeventtype': {
'Meta': {'object_name': 'CommunicationEventType'},
'category': ('django.db.models.fields.CharField', [], {'default': "u'Order related'", 'max_length': '255'}),
'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'date_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),
'email_body_html_template': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'email_body_template': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'email_subject_template': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'sms_template': ('django.db.models.fields.CharField', [], {'max_length': '170', 'null': 'True', 'blank': 'True'})
},
u'offer.benefit': {
'Meta': {'object_name': 'Benefit'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'max_affected_items': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'proxy_class': ('django.db.models.fields.CharField', [], {'default': 'None', 'max_length': '255', 'unique': 'True', 'null': 'True', 'blank': 'True'}),
'range': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Range']", 'null': 'True', 'blank': 'True'}),
'type': ('django.db.models.fields.CharField', [], {'max_length': '128', 'blank': 'True'}),
'value': ('oscar.models.fields.PositiveDecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'})
},
u'offer.condition': {
'Meta': {'object_name': 'Condition'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'proxy_class': ('django.db.models.fields.CharField', [], {'default': 'None', 'max_length': '255', 'unique': 'True', 'null': 'True', 'blank': 'True'}),
'range': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Range']", 'null': 'True', 'blank': 'True'}),
'type': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}),
'value': ('oscar.models.fields.PositiveDecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'})
},
u'offer.conditionaloffer': {
'Meta': {'ordering': "['-priority']", 'object_name': 'ConditionalOffer'},
'benefit': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Benefit']"}),
'condition': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Condition']"}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'end_datetime': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'max_basket_applications': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'max_discount': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}),
'max_global_applications': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'max_user_applications': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '128'}),
'num_applications': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}),
'num_orders': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}),
'offer_type': ('django.db.models.fields.CharField', [], {'default': "'Site'", 'max_length': '128'}),
'priority': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'redirect_url': ('oscar.models.fields.ExtendedURLField', [], {'max_length': '200', 'blank': 'True'}),
'slug': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}),
'start_datetime': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'status': ('django.db.models.fields.CharField', [], {'default': "'Open'", 'max_length': '64'}),
'total_discount': ('django.db.models.fields.DecimalField', [], {'default': "'0.00'", 'max_digits': '12', 'decimal_places': '2'})
},
u'offer.range': {
'Meta': {'object_name': 'Range'},
'classes': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'classes'", 'blank': 'True', 'to': u"orm['catalogue.ProductClass']"}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'excluded_products': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'excludes'", 'blank': 'True', 'to': u"orm['catalogue.Product']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'included_categories': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'includes'", 'blank': 'True', 'to': u"orm['catalogue.Category']"}),
'included_products': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'includes'", 'blank': 'True', 'through': u"orm['offer.RangeProduct']", 'to': u"orm['catalogue.Product']"}),
'includes_all_products': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_public': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '128'}),
'proxy_class': ('django.db.models.fields.CharField', [], {'default': 'None', 'max_length': '255', 'unique': 'True', 'null': 'True', 'blank': 'True'}),
'slug': ('django.db.models.fields.SlugField', [], {'max_length': '128', 'unique': 'True', 'null': 'True'})
},
u'offer.rangeproduct': {
'Meta': {'unique_together': "(('range', 'product'),)", 'object_name': 'RangeProduct'},
'display_order': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'product': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Product']"}),
'range': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Range']"})
},
u'order.billingaddress': {
'Meta': {'object_name': 'BillingAddress'},
'country': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['address.Country']"}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'blank': 'True'}),
'line1': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'line2': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'line3': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'line4': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'postcode': ('oscar.models.fields.UppercaseCharField', [], {'max_length': '64', 'null': 'True', 'blank': 'True'}),
'search_text': ('django.db.models.fields.CharField', [], {'max_length': '1000'}),
'state': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '64', 'null': 'True', 'blank': 'True'})
},
u'order.communicationevent': {
'Meta': {'ordering': "['-date_created']", 'object_name': 'CommunicationEvent'},
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'event_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['customer.CommunicationEventType']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'communication_events'", 'to': u"orm['order.Order']"})
},
u'order.line': {
'Meta': {'object_name': 'Line'},
'est_dispatch_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'line_price_before_discounts_excl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}),
'line_price_before_discounts_incl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}),
'line_price_excl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}),
'line_price_incl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}),
'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'lines'", 'to': u"orm['order.Order']"}),
'partner': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'order_lines'", 'null': 'True', 'on_delete': 'models.SET_NULL', 'to': u"orm['partner.Partner']"}),
'partner_line_notes': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'partner_line_reference': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}),
'partner_name': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}),
'partner_sku': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'product': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Product']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}),
'quantity': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1'}),
'status': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'stockrecord': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['partner.StockRecord']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'unit_cost_price': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}),
'unit_price_excl_tax': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}),
'unit_price_incl_tax': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}),
'unit_retail_price': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}),
'upc': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'})
},
u'order.lineattribute': {
'Meta': {'object_name': 'LineAttribute'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'line': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'attributes'", 'to': u"orm['order.Line']"}),
'option': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'line_attributes'", 'null': 'True', 'on_delete': 'models.SET_NULL', 'to': u"orm['catalogue.Option']"}),
'type': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'value': ('django.db.models.fields.CharField', [], {'max_length': '255'})
},
u'order.lineprice': {
'Meta': {'ordering': "('id',)", 'object_name': 'LinePrice'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'line': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'prices'", 'to': u"orm['order.Line']"}),
'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'line_prices'", 'to': u"orm['order.Order']"}),
'price_excl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}),
'price_incl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}),
'quantity': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1'}),
'shipping_excl_tax': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'}),
'shipping_incl_tax': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'})
},
u'order.order': {
'Meta': {'ordering': "['-date_placed']", 'object_name': 'Order'},
'basket': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['basket.Basket']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}),
'billing_address': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['order.BillingAddress']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}),
'currency': ('django.db.models.fields.CharField', [], {'default': "'GBP'", 'max_length': '12'}),
'date_placed': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'db_index': 'True', 'blank': 'True'}),
'guest_email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'number': ('django.db.models.fields.CharField', [], {'max_length': '128', 'db_index': 'True'}),
'shipping_address': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['order.ShippingAddress']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}),
'shipping_code': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '128', 'blank': 'True'}),
'shipping_excl_tax': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'}),
'shipping_incl_tax': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'}),
'shipping_method': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}),
'site': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sites.Site']", 'null': 'True', 'on_delete': 'models.SET_NULL'}),
'status': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'total_excl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}),
'total_incl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'orders'", 'null': 'True', 'on_delete': 'models.SET_NULL', 'to': u"orm['{0}']".format(AUTH_USER_MODEL)})
},
u'order.orderdiscount': {
'Meta': {'object_name': 'OrderDiscount'},
'amount': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'}),
'category': ('django.db.models.fields.CharField', [], {'default': "'Basket'", 'max_length': '64'}),
'frequency': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'message': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'offer_id': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'offer_name': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'db_index': 'True'}),
'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'discounts'", 'to': u"orm['order.Order']"}),
'voucher_code': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'db_index': 'True'}),
'voucher_id': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'})
},
u'order.ordernote': {
'Meta': {'object_name': 'OrderNote'},
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'date_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'message': ('django.db.models.fields.TextField', [], {}),
'note_type': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True'}),
'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'notes'", 'to': u"orm['order.Order']"}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['{0}']".format(AUTH_USER_MODEL), 'null': 'True'})
},
u'order.paymentevent': {
'Meta': {'ordering': "['-date_created']", 'object_name': 'PaymentEvent'},
'amount': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'event_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['order.PaymentEventType']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'lines': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['order.Line']", 'through': u"orm['order.PaymentEventQuantity']", 'symmetrical': 'False'}),
'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'payment_events'", 'to': u"orm['order.Order']"}),
'reference': ('django.db.models.fields.CharField', [], {'max_length': '128', 'blank': 'True'}),
'shipping_event': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'payment_events'", 'null': 'True', 'to': u"orm['order.ShippingEvent']"})
},
u'order.paymenteventquantity': {
'Meta': {'object_name': 'PaymentEventQuantity'},
'event': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'line_quantities'", 'to': u"orm['order.PaymentEvent']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'line': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'payment_event_quantities'", 'to': u"orm['order.Line']"}),
'quantity': ('django.db.models.fields.PositiveIntegerField', [], {})
},
u'order.paymenteventtype': {
'Meta': {'ordering': "('name',)", 'object_name': 'PaymentEventType'},
'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '128'})
},
u'order.shippingaddress': {
'Meta': {'object_name': 'ShippingAddress'},
'country': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['address.Country']"}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'blank': 'True'}),
'line1': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'line2': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'line3': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'line4': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'notes': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'phone_number': ('oscar.models.fields.PhoneNumberField', [], {'max_length': '128', 'blank': 'True'}),
'postcode': ('oscar.models.fields.UppercaseCharField', [], {'max_length': '64', 'null': 'True', 'blank': 'True'}),
'search_text': ('django.db.models.fields.CharField', [], {'max_length': '1000'}),
'state': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '64', 'null': 'True', 'blank': 'True'})
},
u'order.shippingevent': {
'Meta': {'ordering': "['-date_created']", 'object_name': 'ShippingEvent'},
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'event_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['order.ShippingEventType']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'lines': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': "'shipping_events'", 'symmetrical': 'False', 'through': u"orm['order.ShippingEventQuantity']", 'to': u"orm['order.Line']"}),
'notes': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'shipping_events'", 'to': u"orm['order.Order']"})
},
u'order.shippingeventquantity': {
'Meta': {'object_name': 'ShippingEventQuantity'},
'event': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'line_quantities'", 'to': u"orm['order.ShippingEvent']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'line': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'shipping_event_quantities'", 'to': u"orm['order.Line']"}),
'quantity': ('django.db.models.fields.PositiveIntegerField', [], {})
},
u'order.shippingeventtype': {
'Meta': {'ordering': "('name',)", 'object_name': 'ShippingEventType'},
'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255'})
},
u'partner.partner': {
'Meta': {'object_name': 'Partner'},
'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}),
'users': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'partners'", 'null': 'True', 'symmetrical': 'False', 'to': u"orm['{0}']".format(AUTH_USER_MODEL)})
},
u'partner.stockrecord': {
'Meta': {'unique_together': "(('partner', 'partner_sku'),)", 'object_name': 'StockRecord'},
'cost_price': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'date_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'db_index': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'low_stock_threshold': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'num_allocated': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'num_in_stock': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'partner': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'stockrecords'", 'to': u"orm['partner.Partner']"}),
'partner_sku': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'price_currency': ('django.db.models.fields.CharField', [], {'default': "'GBP'", 'max_length': '12'}),
'price_excl_tax': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}),
'price_retail': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}),
'product': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'stockrecords'", 'to': u"orm['catalogue.Product']"})
},
u'sites.site': {
'Meta': {'ordering': "(u'domain',)", 'object_name': 'Site', 'db_table': "u'django_site'"},
'domain': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
},
u'voucher.voucher': {
'Meta': {'object_name': 'Voucher'},
'code': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '128', 'db_index': 'True'}),
'date_created': ('django.db.models.fields.DateField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'end_datetime': ('django.db.models.fields.DateTimeField', [], {}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'num_basket_additions': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}),
'num_orders': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}),
'offers': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': "'vouchers'", 'symmetrical': 'False', 'to': u"orm['offer.ConditionalOffer']"}),
'start_datetime': ('django.db.models.fields.DateTimeField', [], {}),
'total_discount': ('django.db.models.fields.DecimalField', [], {'default': "'0.00'", 'max_digits': '12', 'decimal_places': '2'}),
'usage': ('django.db.models.fields.CharField', [], {'default': "'Multi-use'", 'max_length': '128'})
}
}
complete_apps = ['order']
symmetrical = True
| bsd-3-clause |
dhruvsrivastava/OJ | flask/lib/python2.7/site-packages/requests/packages/chardet/big5freq.py | 3133 | 82594 | ######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Communicator client code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
# Big5 frequency table
# by Taiwan's Mandarin Promotion Council
# <http://www.edu.tw:81/mandr/>
#
# 128 --> 0.42261
# 256 --> 0.57851
# 512 --> 0.74851
# 1024 --> 0.89384
# 2048 --> 0.97583
#
# Ideal Distribution Ratio = 0.74851/(1-0.74851) =2.98
# Random Distribution Ration = 512/(5401-512)=0.105
#
# Typical Distribution Ratio about 25% of Ideal one, still much higher than RDR
BIG5_TYPICAL_DISTRIBUTION_RATIO = 0.75
#Char to FreqOrder table
BIG5_TABLE_SIZE = 5376
Big5CharToFreqOrder = (
1,1801,1506, 255,1431, 198, 9, 82, 6,5008, 177, 202,3681,1256,2821, 110, # 16
3814, 33,3274, 261, 76, 44,2114, 16,2946,2187,1176, 659,3971, 26,3451,2653, # 32
1198,3972,3350,4202, 410,2215, 302, 590, 361,1964, 8, 204, 58,4510,5009,1932, # 48
63,5010,5011, 317,1614, 75, 222, 159,4203,2417,1480,5012,3555,3091, 224,2822, # 64
3682, 3, 10,3973,1471, 29,2787,1135,2866,1940, 873, 130,3275,1123, 312,5013, # 80
4511,2052, 507, 252, 682,5014, 142,1915, 124, 206,2947, 34,3556,3204, 64, 604, # 96
5015,2501,1977,1978, 155,1991, 645, 641,1606,5016,3452, 337, 72, 406,5017, 80, # 112
630, 238,3205,1509, 263, 939,1092,2654, 756,1440,1094,3453, 449, 69,2987, 591, # 128
179,2096, 471, 115,2035,1844, 60, 50,2988, 134, 806,1869, 734,2036,3454, 180, # 144
995,1607, 156, 537,2907, 688,5018, 319,1305, 779,2145, 514,2379, 298,4512, 359, # 160
2502, 90,2716,1338, 663, 11, 906,1099,2553, 20,2441, 182, 532,1716,5019, 732, # 176
1376,4204,1311,1420,3206, 25,2317,1056, 113, 399, 382,1950, 242,3455,2474, 529, # 192
3276, 475,1447,3683,5020, 117, 21, 656, 810,1297,2300,2334,3557,5021, 126,4205, # 208
706, 456, 150, 613,4513, 71,1118,2037,4206, 145,3092, 85, 835, 486,2115,1246, # 224
1426, 428, 727,1285,1015, 800, 106, 623, 303,1281,5022,2128,2359, 347,3815, 221, # 240
3558,3135,5023,1956,1153,4207, 83, 296,1199,3093, 192, 624, 93,5024, 822,1898, # 256
2823,3136, 795,2065, 991,1554,1542,1592, 27, 43,2867, 859, 139,1456, 860,4514, # 272
437, 712,3974, 164,2397,3137, 695, 211,3037,2097, 195,3975,1608,3559,3560,3684, # 288
3976, 234, 811,2989,2098,3977,2233,1441,3561,1615,2380, 668,2077,1638, 305, 228, # 304
1664,4515, 467, 415,5025, 262,2099,1593, 239, 108, 300, 200,1033, 512,1247,2078, # 320
5026,5027,2176,3207,3685,2682, 593, 845,1062,3277, 88,1723,2038,3978,1951, 212, # 336
266, 152, 149, 468,1899,4208,4516, 77, 187,5028,3038, 37, 5,2990,5029,3979, # 352
5030,5031, 39,2524,4517,2908,3208,2079, 55, 148, 74,4518, 545, 483,1474,1029, # 368
1665, 217,1870,1531,3138,1104,2655,4209, 24, 172,3562, 900,3980,3563,3564,4519, # 384
32,1408,2824,1312, 329, 487,2360,2251,2717, 784,2683, 4,3039,3351,1427,1789, # 400
188, 109, 499,5032,3686,1717,1790, 888,1217,3040,4520,5033,3565,5034,3352,1520, # 416
3687,3981, 196,1034, 775,5035,5036, 929,1816, 249, 439, 38,5037,1063,5038, 794, # 432
3982,1435,2301, 46, 178,3278,2066,5039,2381,5040, 214,1709,4521, 804, 35, 707, # 448
324,3688,1601,2554, 140, 459,4210,5041,5042,1365, 839, 272, 978,2262,2580,3456, # 464
2129,1363,3689,1423, 697, 100,3094, 48, 70,1231, 495,3139,2196,5043,1294,5044, # 480
2080, 462, 586,1042,3279, 853, 256, 988, 185,2382,3457,1698, 434,1084,5045,3458, # 496
314,2625,2788,4522,2335,2336, 569,2285, 637,1817,2525, 757,1162,1879,1616,3459, # 512
287,1577,2116, 768,4523,1671,2868,3566,2526,1321,3816, 909,2418,5046,4211, 933, # 528
3817,4212,2053,2361,1222,4524, 765,2419,1322, 786,4525,5047,1920,1462,1677,2909, # 544
1699,5048,4526,1424,2442,3140,3690,2600,3353,1775,1941,3460,3983,4213, 309,1369, # 560
1130,2825, 364,2234,1653,1299,3984,3567,3985,3986,2656, 525,1085,3041, 902,2001, # 576
1475, 964,4527, 421,1845,1415,1057,2286, 940,1364,3141, 376,4528,4529,1381, 7, # 592
2527, 983,2383, 336,1710,2684,1846, 321,3461, 559,1131,3042,2752,1809,1132,1313, # 608
265,1481,1858,5049, 352,1203,2826,3280, 167,1089, 420,2827, 776, 792,1724,3568, # 624
4214,2443,3281,5050,4215,5051, 446, 229, 333,2753, 901,3818,1200,1557,4530,2657, # 640
1921, 395,2754,2685,3819,4216,1836, 125, 916,3209,2626,4531,5052,5053,3820,5054, # 656
5055,5056,4532,3142,3691,1133,2555,1757,3462,1510,2318,1409,3569,5057,2146, 438, # 672
2601,2910,2384,3354,1068, 958,3043, 461, 311,2869,2686,4217,1916,3210,4218,1979, # 688
383, 750,2755,2627,4219, 274, 539, 385,1278,1442,5058,1154,1965, 384, 561, 210, # 704
98,1295,2556,3570,5059,1711,2420,1482,3463,3987,2911,1257, 129,5060,3821, 642, # 720
523,2789,2790,2658,5061, 141,2235,1333, 68, 176, 441, 876, 907,4220, 603,2602, # 736
710, 171,3464, 404, 549, 18,3143,2398,1410,3692,1666,5062,3571,4533,2912,4534, # 752
5063,2991, 368,5064, 146, 366, 99, 871,3693,1543, 748, 807,1586,1185, 22,2263, # 768
379,3822,3211,5065,3212, 505,1942,2628,1992,1382,2319,5066, 380,2362, 218, 702, # 784
1818,1248,3465,3044,3572,3355,3282,5067,2992,3694, 930,3283,3823,5068, 59,5069, # 800
585, 601,4221, 497,3466,1112,1314,4535,1802,5070,1223,1472,2177,5071, 749,1837, # 816
690,1900,3824,1773,3988,1476, 429,1043,1791,2236,2117, 917,4222, 447,1086,1629, # 832
5072, 556,5073,5074,2021,1654, 844,1090, 105, 550, 966,1758,2828,1008,1783, 686, # 848
1095,5075,2287, 793,1602,5076,3573,2603,4536,4223,2948,2302,4537,3825, 980,2503, # 864
544, 353, 527,4538, 908,2687,2913,5077, 381,2629,1943,1348,5078,1341,1252, 560, # 880
3095,5079,3467,2870,5080,2054, 973, 886,2081, 143,4539,5081,5082, 157,3989, 496, # 896
4224, 57, 840, 540,2039,4540,4541,3468,2118,1445, 970,2264,1748,1966,2082,4225, # 912
3144,1234,1776,3284,2829,3695, 773,1206,2130,1066,2040,1326,3990,1738,1725,4226, # 928
279,3145, 51,1544,2604, 423,1578,2131,2067, 173,4542,1880,5083,5084,1583, 264, # 944
610,3696,4543,2444, 280, 154,5085,5086,5087,1739, 338,1282,3096, 693,2871,1411, # 960
1074,3826,2445,5088,4544,5089,5090,1240, 952,2399,5091,2914,1538,2688, 685,1483, # 976
4227,2475,1436, 953,4228,2055,4545, 671,2400, 79,4229,2446,3285, 608, 567,2689, # 992
3469,4230,4231,1691, 393,1261,1792,2401,5092,4546,5093,5094,5095,5096,1383,1672, # 1008
3827,3213,1464, 522,1119, 661,1150, 216, 675,4547,3991,1432,3574, 609,4548,2690, # 1024
2402,5097,5098,5099,4232,3045, 0,5100,2476, 315, 231,2447, 301,3356,4549,2385, # 1040
5101, 233,4233,3697,1819,4550,4551,5102, 96,1777,1315,2083,5103, 257,5104,1810, # 1056
3698,2718,1139,1820,4234,2022,1124,2164,2791,1778,2659,5105,3097, 363,1655,3214, # 1072
5106,2993,5107,5108,5109,3992,1567,3993, 718, 103,3215, 849,1443, 341,3357,2949, # 1088
1484,5110,1712, 127, 67, 339,4235,2403, 679,1412, 821,5111,5112, 834, 738, 351, # 1104
2994,2147, 846, 235,1497,1881, 418,1993,3828,2719, 186,1100,2148,2756,3575,1545, # 1120
1355,2950,2872,1377, 583,3994,4236,2581,2995,5113,1298,3699,1078,2557,3700,2363, # 1136
78,3829,3830, 267,1289,2100,2002,1594,4237, 348, 369,1274,2197,2178,1838,4552, # 1152
1821,2830,3701,2757,2288,2003,4553,2951,2758, 144,3358, 882,4554,3995,2759,3470, # 1168
4555,2915,5114,4238,1726, 320,5115,3996,3046, 788,2996,5116,2831,1774,1327,2873, # 1184
3997,2832,5117,1306,4556,2004,1700,3831,3576,2364,2660, 787,2023, 506, 824,3702, # 1200
534, 323,4557,1044,3359,2024,1901, 946,3471,5118,1779,1500,1678,5119,1882,4558, # 1216
165, 243,4559,3703,2528, 123, 683,4239, 764,4560, 36,3998,1793, 589,2916, 816, # 1232
626,1667,3047,2237,1639,1555,1622,3832,3999,5120,4000,2874,1370,1228,1933, 891, # 1248
2084,2917, 304,4240,5121, 292,2997,2720,3577, 691,2101,4241,1115,4561, 118, 662, # 1264
5122, 611,1156, 854,2386,1316,2875, 2, 386, 515,2918,5123,5124,3286, 868,2238, # 1280
1486, 855,2661, 785,2216,3048,5125,1040,3216,3578,5126,3146, 448,5127,1525,5128, # 1296
2165,4562,5129,3833,5130,4242,2833,3579,3147, 503, 818,4001,3148,1568, 814, 676, # 1312
1444, 306,1749,5131,3834,1416,1030, 197,1428, 805,2834,1501,4563,5132,5133,5134, # 1328
1994,5135,4564,5136,5137,2198, 13,2792,3704,2998,3149,1229,1917,5138,3835,2132, # 1344
5139,4243,4565,2404,3580,5140,2217,1511,1727,1120,5141,5142, 646,3836,2448, 307, # 1360
5143,5144,1595,3217,5145,5146,5147,3705,1113,1356,4002,1465,2529,2530,5148, 519, # 1376
5149, 128,2133, 92,2289,1980,5150,4003,1512, 342,3150,2199,5151,2793,2218,1981, # 1392
3360,4244, 290,1656,1317, 789, 827,2365,5152,3837,4566, 562, 581,4004,5153, 401, # 1408
4567,2252, 94,4568,5154,1399,2794,5155,1463,2025,4569,3218,1944,5156, 828,1105, # 1424
4245,1262,1394,5157,4246, 605,4570,5158,1784,2876,5159,2835, 819,2102, 578,2200, # 1440
2952,5160,1502, 436,3287,4247,3288,2836,4005,2919,3472,3473,5161,2721,2320,5162, # 1456
5163,2337,2068, 23,4571, 193, 826,3838,2103, 699,1630,4248,3098, 390,1794,1064, # 1472
3581,5164,1579,3099,3100,1400,5165,4249,1839,1640,2877,5166,4572,4573, 137,4250, # 1488
598,3101,1967, 780, 104, 974,2953,5167, 278, 899, 253, 402, 572, 504, 493,1339, # 1504
5168,4006,1275,4574,2582,2558,5169,3706,3049,3102,2253, 565,1334,2722, 863, 41, # 1520
5170,5171,4575,5172,1657,2338, 19, 463,2760,4251, 606,5173,2999,3289,1087,2085, # 1536
1323,2662,3000,5174,1631,1623,1750,4252,2691,5175,2878, 791,2723,2663,2339, 232, # 1552
2421,5176,3001,1498,5177,2664,2630, 755,1366,3707,3290,3151,2026,1609, 119,1918, # 1568
3474, 862,1026,4253,5178,4007,3839,4576,4008,4577,2265,1952,2477,5179,1125, 817, # 1584
4254,4255,4009,1513,1766,2041,1487,4256,3050,3291,2837,3840,3152,5180,5181,1507, # 1600
5182,2692, 733, 40,1632,1106,2879, 345,4257, 841,2531, 230,4578,3002,1847,3292, # 1616
3475,5183,1263, 986,3476,5184, 735, 879, 254,1137, 857, 622,1300,1180,1388,1562, # 1632
4010,4011,2954, 967,2761,2665,1349, 592,2134,1692,3361,3003,1995,4258,1679,4012, # 1648
1902,2188,5185, 739,3708,2724,1296,1290,5186,4259,2201,2202,1922,1563,2605,2559, # 1664
1871,2762,3004,5187, 435,5188, 343,1108, 596, 17,1751,4579,2239,3477,3709,5189, # 1680
4580, 294,3582,2955,1693, 477, 979, 281,2042,3583, 643,2043,3710,2631,2795,2266, # 1696
1031,2340,2135,2303,3584,4581, 367,1249,2560,5190,3585,5191,4582,1283,3362,2005, # 1712
240,1762,3363,4583,4584, 836,1069,3153, 474,5192,2149,2532, 268,3586,5193,3219, # 1728
1521,1284,5194,1658,1546,4260,5195,3587,3588,5196,4261,3364,2693,1685,4262, 961, # 1744
1673,2632, 190,2006,2203,3841,4585,4586,5197, 570,2504,3711,1490,5198,4587,2633, # 1760
3293,1957,4588, 584,1514, 396,1045,1945,5199,4589,1968,2449,5200,5201,4590,4013, # 1776
619,5202,3154,3294, 215,2007,2796,2561,3220,4591,3221,4592, 763,4263,3842,4593, # 1792
5203,5204,1958,1767,2956,3365,3712,1174, 452,1477,4594,3366,3155,5205,2838,1253, # 1808
2387,2189,1091,2290,4264, 492,5206, 638,1169,1825,2136,1752,4014, 648, 926,1021, # 1824
1324,4595, 520,4596, 997, 847,1007, 892,4597,3843,2267,1872,3713,2405,1785,4598, # 1840
1953,2957,3103,3222,1728,4265,2044,3714,4599,2008,1701,3156,1551, 30,2268,4266, # 1856
5207,2027,4600,3589,5208, 501,5209,4267, 594,3478,2166,1822,3590,3479,3591,3223, # 1872
829,2839,4268,5210,1680,3157,1225,4269,5211,3295,4601,4270,3158,2341,5212,4602, # 1888
4271,5213,4015,4016,5214,1848,2388,2606,3367,5215,4603, 374,4017, 652,4272,4273, # 1904
375,1140, 798,5216,5217,5218,2366,4604,2269, 546,1659, 138,3051,2450,4605,5219, # 1920
2254, 612,1849, 910, 796,3844,1740,1371, 825,3845,3846,5220,2920,2562,5221, 692, # 1936
444,3052,2634, 801,4606,4274,5222,1491, 244,1053,3053,4275,4276, 340,5223,4018, # 1952
1041,3005, 293,1168, 87,1357,5224,1539, 959,5225,2240, 721, 694,4277,3847, 219, # 1968
1478, 644,1417,3368,2666,1413,1401,1335,1389,4019,5226,5227,3006,2367,3159,1826, # 1984
730,1515, 184,2840, 66,4607,5228,1660,2958, 246,3369, 378,1457, 226,3480, 975, # 2000
4020,2959,1264,3592, 674, 696,5229, 163,5230,1141,2422,2167, 713,3593,3370,4608, # 2016
4021,5231,5232,1186, 15,5233,1079,1070,5234,1522,3224,3594, 276,1050,2725, 758, # 2032
1126, 653,2960,3296,5235,2342, 889,3595,4022,3104,3007, 903,1250,4609,4023,3481, # 2048
3596,1342,1681,1718, 766,3297, 286, 89,2961,3715,5236,1713,5237,2607,3371,3008, # 2064
5238,2962,2219,3225,2880,5239,4610,2505,2533, 181, 387,1075,4024, 731,2190,3372, # 2080
5240,3298, 310, 313,3482,2304, 770,4278, 54,3054, 189,4611,3105,3848,4025,5241, # 2096
1230,1617,1850, 355,3597,4279,4612,3373, 111,4280,3716,1350,3160,3483,3055,4281, # 2112
2150,3299,3598,5242,2797,4026,4027,3009, 722,2009,5243,1071, 247,1207,2343,2478, # 2128
1378,4613,2010, 864,1437,1214,4614, 373,3849,1142,2220, 667,4615, 442,2763,2563, # 2144
3850,4028,1969,4282,3300,1840, 837, 170,1107, 934,1336,1883,5244,5245,2119,4283, # 2160
2841, 743,1569,5246,4616,4284, 582,2389,1418,3484,5247,1803,5248, 357,1395,1729, # 2176
3717,3301,2423,1564,2241,5249,3106,3851,1633,4617,1114,2086,4285,1532,5250, 482, # 2192
2451,4618,5251,5252,1492, 833,1466,5253,2726,3599,1641,2842,5254,1526,1272,3718, # 2208
4286,1686,1795, 416,2564,1903,1954,1804,5255,3852,2798,3853,1159,2321,5256,2881, # 2224
4619,1610,1584,3056,2424,2764, 443,3302,1163,3161,5257,5258,4029,5259,4287,2506, # 2240
3057,4620,4030,3162,2104,1647,3600,2011,1873,4288,5260,4289, 431,3485,5261, 250, # 2256
97, 81,4290,5262,1648,1851,1558, 160, 848,5263, 866, 740,1694,5264,2204,2843, # 2272
3226,4291,4621,3719,1687, 950,2479, 426, 469,3227,3720,3721,4031,5265,5266,1188, # 2288
424,1996, 861,3601,4292,3854,2205,2694, 168,1235,3602,4293,5267,2087,1674,4622, # 2304
3374,3303, 220,2565,1009,5268,3855, 670,3010, 332,1208, 717,5269,5270,3603,2452, # 2320
4032,3375,5271, 513,5272,1209,2882,3376,3163,4623,1080,5273,5274,5275,5276,2534, # 2336
3722,3604, 815,1587,4033,4034,5277,3605,3486,3856,1254,4624,1328,3058,1390,4035, # 2352
1741,4036,3857,4037,5278, 236,3858,2453,3304,5279,5280,3723,3859,1273,3860,4625, # 2368
5281, 308,5282,4626, 245,4627,1852,2480,1307,2583, 430, 715,2137,2454,5283, 270, # 2384
199,2883,4038,5284,3606,2727,1753, 761,1754, 725,1661,1841,4628,3487,3724,5285, # 2400
5286, 587, 14,3305, 227,2608, 326, 480,2270, 943,2765,3607, 291, 650,1884,5287, # 2416
1702,1226, 102,1547, 62,3488, 904,4629,3489,1164,4294,5288,5289,1224,1548,2766, # 2432
391, 498,1493,5290,1386,1419,5291,2056,1177,4630, 813, 880,1081,2368, 566,1145, # 2448
4631,2291,1001,1035,2566,2609,2242, 394,1286,5292,5293,2069,5294, 86,1494,1730, # 2464
4039, 491,1588, 745, 897,2963, 843,3377,4040,2767,2884,3306,1768, 998,2221,2070, # 2480
397,1827,1195,1970,3725,3011,3378, 284,5295,3861,2507,2138,2120,1904,5296,4041, # 2496
2151,4042,4295,1036,3490,1905, 114,2567,4296, 209,1527,5297,5298,2964,2844,2635, # 2512
2390,2728,3164, 812,2568,5299,3307,5300,1559, 737,1885,3726,1210, 885, 28,2695, # 2528
3608,3862,5301,4297,1004,1780,4632,5302, 346,1982,2222,2696,4633,3863,1742, 797, # 2544
1642,4043,1934,1072,1384,2152, 896,4044,3308,3727,3228,2885,3609,5303,2569,1959, # 2560
4634,2455,1786,5304,5305,5306,4045,4298,1005,1308,3728,4299,2729,4635,4636,1528, # 2576
2610, 161,1178,4300,1983, 987,4637,1101,4301, 631,4046,1157,3229,2425,1343,1241, # 2592
1016,2243,2570, 372, 877,2344,2508,1160, 555,1935, 911,4047,5307, 466,1170, 169, # 2608
1051,2921,2697,3729,2481,3012,1182,2012,2571,1251,2636,5308, 992,2345,3491,1540, # 2624
2730,1201,2071,2406,1997,2482,5309,4638, 528,1923,2191,1503,1874,1570,2369,3379, # 2640
3309,5310, 557,1073,5311,1828,3492,2088,2271,3165,3059,3107, 767,3108,2799,4639, # 2656
1006,4302,4640,2346,1267,2179,3730,3230, 778,4048,3231,2731,1597,2667,5312,4641, # 2672
5313,3493,5314,5315,5316,3310,2698,1433,3311, 131, 95,1504,4049, 723,4303,3166, # 2688
1842,3610,2768,2192,4050,2028,2105,3731,5317,3013,4051,1218,5318,3380,3232,4052, # 2704
4304,2584, 248,1634,3864, 912,5319,2845,3732,3060,3865, 654, 53,5320,3014,5321, # 2720
1688,4642, 777,3494,1032,4053,1425,5322, 191, 820,2121,2846, 971,4643, 931,3233, # 2736
135, 664, 783,3866,1998, 772,2922,1936,4054,3867,4644,2923,3234, 282,2732, 640, # 2752
1372,3495,1127, 922, 325,3381,5323,5324, 711,2045,5325,5326,4055,2223,2800,1937, # 2768
4056,3382,2224,2255,3868,2305,5327,4645,3869,1258,3312,4057,3235,2139,2965,4058, # 2784
4059,5328,2225, 258,3236,4646, 101,1227,5329,3313,1755,5330,1391,3314,5331,2924, # 2800
2057, 893,5332,5333,5334,1402,4305,2347,5335,5336,3237,3611,5337,5338, 878,1325, # 2816
1781,2801,4647, 259,1385,2585, 744,1183,2272,4648,5339,4060,2509,5340, 684,1024, # 2832
4306,5341, 472,3612,3496,1165,3315,4061,4062, 322,2153, 881, 455,1695,1152,1340, # 2848
660, 554,2154,4649,1058,4650,4307, 830,1065,3383,4063,4651,1924,5342,1703,1919, # 2864
5343, 932,2273, 122,5344,4652, 947, 677,5345,3870,2637, 297,1906,1925,2274,4653, # 2880
2322,3316,5346,5347,4308,5348,4309, 84,4310, 112, 989,5349, 547,1059,4064, 701, # 2896
3613,1019,5350,4311,5351,3497, 942, 639, 457,2306,2456, 993,2966, 407, 851, 494, # 2912
4654,3384, 927,5352,1237,5353,2426,3385, 573,4312, 680, 921,2925,1279,1875, 285, # 2928
790,1448,1984, 719,2168,5354,5355,4655,4065,4066,1649,5356,1541, 563,5357,1077, # 2944
5358,3386,3061,3498, 511,3015,4067,4068,3733,4069,1268,2572,3387,3238,4656,4657, # 2960
5359, 535,1048,1276,1189,2926,2029,3167,1438,1373,2847,2967,1134,2013,5360,4313, # 2976
1238,2586,3109,1259,5361, 700,5362,2968,3168,3734,4314,5363,4315,1146,1876,1907, # 2992
4658,2611,4070, 781,2427, 132,1589, 203, 147, 273,2802,2407, 898,1787,2155,4071, # 3008
4072,5364,3871,2803,5365,5366,4659,4660,5367,3239,5368,1635,3872, 965,5369,1805, # 3024
2699,1516,3614,1121,1082,1329,3317,4073,1449,3873, 65,1128,2848,2927,2769,1590, # 3040
3874,5370,5371, 12,2668, 45, 976,2587,3169,4661, 517,2535,1013,1037,3240,5372, # 3056
3875,2849,5373,3876,5374,3499,5375,2612, 614,1999,2323,3877,3110,2733,2638,5376, # 3072
2588,4316, 599,1269,5377,1811,3735,5378,2700,3111, 759,1060, 489,1806,3388,3318, # 3088
1358,5379,5380,2391,1387,1215,2639,2256, 490,5381,5382,4317,1759,2392,2348,5383, # 3104
4662,3878,1908,4074,2640,1807,3241,4663,3500,3319,2770,2349, 874,5384,5385,3501, # 3120
3736,1859, 91,2928,3737,3062,3879,4664,5386,3170,4075,2669,5387,3502,1202,1403, # 3136
3880,2969,2536,1517,2510,4665,3503,2511,5388,4666,5389,2701,1886,1495,1731,4076, # 3152
2370,4667,5390,2030,5391,5392,4077,2702,1216, 237,2589,4318,2324,4078,3881,4668, # 3168
4669,2703,3615,3504, 445,4670,5393,5394,5395,5396,2771, 61,4079,3738,1823,4080, # 3184
5397, 687,2046, 935, 925, 405,2670, 703,1096,1860,2734,4671,4081,1877,1367,2704, # 3200
3389, 918,2106,1782,2483, 334,3320,1611,1093,4672, 564,3171,3505,3739,3390, 945, # 3216
2641,2058,4673,5398,1926, 872,4319,5399,3506,2705,3112, 349,4320,3740,4082,4674, # 3232
3882,4321,3741,2156,4083,4675,4676,4322,4677,2408,2047, 782,4084, 400, 251,4323, # 3248
1624,5400,5401, 277,3742, 299,1265, 476,1191,3883,2122,4324,4325,1109, 205,5402, # 3264
2590,1000,2157,3616,1861,5403,5404,5405,4678,5406,4679,2573, 107,2484,2158,4085, # 3280
3507,3172,5407,1533, 541,1301, 158, 753,4326,2886,3617,5408,1696, 370,1088,4327, # 3296
4680,3618, 579, 327, 440, 162,2244, 269,1938,1374,3508, 968,3063, 56,1396,3113, # 3312
2107,3321,3391,5409,1927,2159,4681,3016,5410,3619,5411,5412,3743,4682,2485,5413, # 3328
2804,5414,1650,4683,5415,2613,5416,5417,4086,2671,3392,1149,3393,4087,3884,4088, # 3344
5418,1076, 49,5419, 951,3242,3322,3323, 450,2850, 920,5420,1812,2805,2371,4328, # 3360
1909,1138,2372,3885,3509,5421,3243,4684,1910,1147,1518,2428,4685,3886,5422,4686, # 3376
2393,2614, 260,1796,3244,5423,5424,3887,3324, 708,5425,3620,1704,5426,3621,1351, # 3392
1618,3394,3017,1887, 944,4329,3395,4330,3064,3396,4331,5427,3744, 422, 413,1714, # 3408
3325, 500,2059,2350,4332,2486,5428,1344,1911, 954,5429,1668,5430,5431,4089,2409, # 3424
4333,3622,3888,4334,5432,2307,1318,2512,3114, 133,3115,2887,4687, 629, 31,2851, # 3440
2706,3889,4688, 850, 949,4689,4090,2970,1732,2089,4335,1496,1853,5433,4091, 620, # 3456
3245, 981,1242,3745,3397,1619,3746,1643,3326,2140,2457,1971,1719,3510,2169,5434, # 3472
3246,5435,5436,3398,1829,5437,1277,4690,1565,2048,5438,1636,3623,3116,5439, 869, # 3488
2852, 655,3890,3891,3117,4092,3018,3892,1310,3624,4691,5440,5441,5442,1733, 558, # 3504
4692,3747, 335,1549,3065,1756,4336,3748,1946,3511,1830,1291,1192, 470,2735,2108, # 3520
2806, 913,1054,4093,5443,1027,5444,3066,4094,4693, 982,2672,3399,3173,3512,3247, # 3536
3248,1947,2807,5445, 571,4694,5446,1831,5447,3625,2591,1523,2429,5448,2090, 984, # 3552
4695,3749,1960,5449,3750, 852, 923,2808,3513,3751, 969,1519, 999,2049,2325,1705, # 3568
5450,3118, 615,1662, 151, 597,4095,2410,2326,1049, 275,4696,3752,4337, 568,3753, # 3584
3626,2487,4338,3754,5451,2430,2275, 409,3249,5452,1566,2888,3514,1002, 769,2853, # 3600
194,2091,3174,3755,2226,3327,4339, 628,1505,5453,5454,1763,2180,3019,4096, 521, # 3616
1161,2592,1788,2206,2411,4697,4097,1625,4340,4341, 412, 42,3119, 464,5455,2642, # 3632
4698,3400,1760,1571,2889,3515,2537,1219,2207,3893,2643,2141,2373,4699,4700,3328, # 3648
1651,3401,3627,5456,5457,3628,2488,3516,5458,3756,5459,5460,2276,2092, 460,5461, # 3664
4701,5462,3020, 962, 588,3629, 289,3250,2644,1116, 52,5463,3067,1797,5464,5465, # 3680
5466,1467,5467,1598,1143,3757,4342,1985,1734,1067,4702,1280,3402, 465,4703,1572, # 3696
510,5468,1928,2245,1813,1644,3630,5469,4704,3758,5470,5471,2673,1573,1534,5472, # 3712
5473, 536,1808,1761,3517,3894,3175,2645,5474,5475,5476,4705,3518,2929,1912,2809, # 3728
5477,3329,1122, 377,3251,5478, 360,5479,5480,4343,1529, 551,5481,2060,3759,1769, # 3744
2431,5482,2930,4344,3330,3120,2327,2109,2031,4706,1404, 136,1468,1479, 672,1171, # 3760
3252,2308, 271,3176,5483,2772,5484,2050, 678,2736, 865,1948,4707,5485,2014,4098, # 3776
2971,5486,2737,2227,1397,3068,3760,4708,4709,1735,2931,3403,3631,5487,3895, 509, # 3792
2854,2458,2890,3896,5488,5489,3177,3178,4710,4345,2538,4711,2309,1166,1010, 552, # 3808
681,1888,5490,5491,2972,2973,4099,1287,1596,1862,3179, 358, 453, 736, 175, 478, # 3824
1117, 905,1167,1097,5492,1854,1530,5493,1706,5494,2181,3519,2292,3761,3520,3632, # 3840
4346,2093,4347,5495,3404,1193,2489,4348,1458,2193,2208,1863,1889,1421,3331,2932, # 3856
3069,2182,3521, 595,2123,5496,4100,5497,5498,4349,1707,2646, 223,3762,1359, 751, # 3872
3121, 183,3522,5499,2810,3021, 419,2374, 633, 704,3897,2394, 241,5500,5501,5502, # 3888
838,3022,3763,2277,2773,2459,3898,1939,2051,4101,1309,3122,2246,1181,5503,1136, # 3904
2209,3899,2375,1446,4350,2310,4712,5504,5505,4351,1055,2615, 484,3764,5506,4102, # 3920
625,4352,2278,3405,1499,4353,4103,5507,4104,4354,3253,2279,2280,3523,5508,5509, # 3936
2774, 808,2616,3765,3406,4105,4355,3123,2539, 526,3407,3900,4356, 955,5510,1620, # 3952
4357,2647,2432,5511,1429,3766,1669,1832, 994, 928,5512,3633,1260,5513,5514,5515, # 3968
1949,2293, 741,2933,1626,4358,2738,2460, 867,1184, 362,3408,1392,5516,5517,4106, # 3984
4359,1770,1736,3254,2934,4713,4714,1929,2707,1459,1158,5518,3070,3409,2891,1292, # 4000
1930,2513,2855,3767,1986,1187,2072,2015,2617,4360,5519,2574,2514,2170,3768,2490, # 4016
3332,5520,3769,4715,5521,5522, 666,1003,3023,1022,3634,4361,5523,4716,1814,2257, # 4032
574,3901,1603, 295,1535, 705,3902,4362, 283, 858, 417,5524,5525,3255,4717,4718, # 4048
3071,1220,1890,1046,2281,2461,4107,1393,1599, 689,2575, 388,4363,5526,2491, 802, # 4064
5527,2811,3903,2061,1405,2258,5528,4719,3904,2110,1052,1345,3256,1585,5529, 809, # 4080
5530,5531,5532, 575,2739,3524, 956,1552,1469,1144,2328,5533,2329,1560,2462,3635, # 4096
3257,4108, 616,2210,4364,3180,2183,2294,5534,1833,5535,3525,4720,5536,1319,3770, # 4112
3771,1211,3636,1023,3258,1293,2812,5537,5538,5539,3905, 607,2311,3906, 762,2892, # 4128
1439,4365,1360,4721,1485,3072,5540,4722,1038,4366,1450,2062,2648,4367,1379,4723, # 4144
2593,5541,5542,4368,1352,1414,2330,2935,1172,5543,5544,3907,3908,4724,1798,1451, # 4160
5545,5546,5547,5548,2936,4109,4110,2492,2351, 411,4111,4112,3637,3333,3124,4725, # 4176
1561,2674,1452,4113,1375,5549,5550, 47,2974, 316,5551,1406,1591,2937,3181,5552, # 4192
1025,2142,3125,3182, 354,2740, 884,2228,4369,2412, 508,3772, 726,3638, 996,2433, # 4208
3639, 729,5553, 392,2194,1453,4114,4726,3773,5554,5555,2463,3640,2618,1675,2813, # 4224
919,2352,2975,2353,1270,4727,4115, 73,5556,5557, 647,5558,3259,2856,2259,1550, # 4240
1346,3024,5559,1332, 883,3526,5560,5561,5562,5563,3334,2775,5564,1212, 831,1347, # 4256
4370,4728,2331,3909,1864,3073, 720,3910,4729,4730,3911,5565,4371,5566,5567,4731, # 4272
5568,5569,1799,4732,3774,2619,4733,3641,1645,2376,4734,5570,2938, 669,2211,2675, # 4288
2434,5571,2893,5572,5573,1028,3260,5574,4372,2413,5575,2260,1353,5576,5577,4735, # 4304
3183, 518,5578,4116,5579,4373,1961,5580,2143,4374,5581,5582,3025,2354,2355,3912, # 4320
516,1834,1454,4117,2708,4375,4736,2229,2620,1972,1129,3642,5583,2776,5584,2976, # 4336
1422, 577,1470,3026,1524,3410,5585,5586, 432,4376,3074,3527,5587,2594,1455,2515, # 4352
2230,1973,1175,5588,1020,2741,4118,3528,4737,5589,2742,5590,1743,1361,3075,3529, # 4368
2649,4119,4377,4738,2295, 895, 924,4378,2171, 331,2247,3076, 166,1627,3077,1098, # 4384
5591,1232,2894,2231,3411,4739, 657, 403,1196,2377, 542,3775,3412,1600,4379,3530, # 4400
5592,4740,2777,3261, 576, 530,1362,4741,4742,2540,2676,3776,4120,5593, 842,3913, # 4416
5594,2814,2032,1014,4121, 213,2709,3413, 665, 621,4380,5595,3777,2939,2435,5596, # 4432
2436,3335,3643,3414,4743,4381,2541,4382,4744,3644,1682,4383,3531,1380,5597, 724, # 4448
2282, 600,1670,5598,1337,1233,4745,3126,2248,5599,1621,4746,5600, 651,4384,5601, # 4464
1612,4385,2621,5602,2857,5603,2743,2312,3078,5604, 716,2464,3079, 174,1255,2710, # 4480
4122,3645, 548,1320,1398, 728,4123,1574,5605,1891,1197,3080,4124,5606,3081,3082, # 4496
3778,3646,3779, 747,5607, 635,4386,4747,5608,5609,5610,4387,5611,5612,4748,5613, # 4512
3415,4749,2437, 451,5614,3780,2542,2073,4388,2744,4389,4125,5615,1764,4750,5616, # 4528
4390, 350,4751,2283,2395,2493,5617,4391,4126,2249,1434,4127, 488,4752, 458,4392, # 4544
4128,3781, 771,1330,2396,3914,2576,3184,2160,2414,1553,2677,3185,4393,5618,2494, # 4560
2895,2622,1720,2711,4394,3416,4753,5619,2543,4395,5620,3262,4396,2778,5621,2016, # 4576
2745,5622,1155,1017,3782,3915,5623,3336,2313, 201,1865,4397,1430,5624,4129,5625, # 4592
5626,5627,5628,5629,4398,1604,5630, 414,1866, 371,2595,4754,4755,3532,2017,3127, # 4608
4756,1708, 960,4399, 887, 389,2172,1536,1663,1721,5631,2232,4130,2356,2940,1580, # 4624
5632,5633,1744,4757,2544,4758,4759,5634,4760,5635,2074,5636,4761,3647,3417,2896, # 4640
4400,5637,4401,2650,3418,2815, 673,2712,2465, 709,3533,4131,3648,4402,5638,1148, # 4656
502, 634,5639,5640,1204,4762,3649,1575,4763,2623,3783,5641,3784,3128, 948,3263, # 4672
121,1745,3916,1110,5642,4403,3083,2516,3027,4132,3785,1151,1771,3917,1488,4133, # 4688
1987,5643,2438,3534,5644,5645,2094,5646,4404,3918,1213,1407,2816, 531,2746,2545, # 4704
3264,1011,1537,4764,2779,4405,3129,1061,5647,3786,3787,1867,2897,5648,2018, 120, # 4720
4406,4407,2063,3650,3265,2314,3919,2678,3419,1955,4765,4134,5649,3535,1047,2713, # 4736
1266,5650,1368,4766,2858, 649,3420,3920,2546,2747,1102,2859,2679,5651,5652,2000, # 4752
5653,1111,3651,2977,5654,2495,3921,3652,2817,1855,3421,3788,5655,5656,3422,2415, # 4768
2898,3337,3266,3653,5657,2577,5658,3654,2818,4135,1460, 856,5659,3655,5660,2899, # 4784
2978,5661,2900,3922,5662,4408, 632,2517, 875,3923,1697,3924,2296,5663,5664,4767, # 4800
3028,1239, 580,4768,4409,5665, 914, 936,2075,1190,4136,1039,2124,5666,5667,5668, # 4816
5669,3423,1473,5670,1354,4410,3925,4769,2173,3084,4137, 915,3338,4411,4412,3339, # 4832
1605,1835,5671,2748, 398,3656,4413,3926,4138, 328,1913,2860,4139,3927,1331,4414, # 4848
3029, 937,4415,5672,3657,4140,4141,3424,2161,4770,3425, 524, 742, 538,3085,1012, # 4864
5673,5674,3928,2466,5675, 658,1103, 225,3929,5676,5677,4771,5678,4772,5679,3267, # 4880
1243,5680,4142, 963,2250,4773,5681,2714,3658,3186,5682,5683,2596,2332,5684,4774, # 4896
5685,5686,5687,3536, 957,3426,2547,2033,1931,2941,2467, 870,2019,3659,1746,2780, # 4912
2781,2439,2468,5688,3930,5689,3789,3130,3790,3537,3427,3791,5690,1179,3086,5691, # 4928
3187,2378,4416,3792,2548,3188,3131,2749,4143,5692,3428,1556,2549,2297, 977,2901, # 4944
2034,4144,1205,3429,5693,1765,3430,3189,2125,1271, 714,1689,4775,3538,5694,2333, # 4960
3931, 533,4417,3660,2184, 617,5695,2469,3340,3539,2315,5696,5697,3190,5698,5699, # 4976
3932,1988, 618, 427,2651,3540,3431,5700,5701,1244,1690,5702,2819,4418,4776,5703, # 4992
3541,4777,5704,2284,1576, 473,3661,4419,3432, 972,5705,3662,5706,3087,5707,5708, # 5008
4778,4779,5709,3793,4145,4146,5710, 153,4780, 356,5711,1892,2902,4420,2144, 408, # 5024
803,2357,5712,3933,5713,4421,1646,2578,2518,4781,4782,3934,5714,3935,4422,5715, # 5040
2416,3433, 752,5716,5717,1962,3341,2979,5718, 746,3030,2470,4783,4423,3794, 698, # 5056
4784,1893,4424,3663,2550,4785,3664,3936,5719,3191,3434,5720,1824,1302,4147,2715, # 5072
3937,1974,4425,5721,4426,3192, 823,1303,1288,1236,2861,3542,4148,3435, 774,3938, # 5088
5722,1581,4786,1304,2862,3939,4787,5723,2440,2162,1083,3268,4427,4149,4428, 344, # 5104
1173, 288,2316, 454,1683,5724,5725,1461,4788,4150,2597,5726,5727,4789, 985, 894, # 5120
5728,3436,3193,5729,1914,2942,3795,1989,5730,2111,1975,5731,4151,5732,2579,1194, # 5136
425,5733,4790,3194,1245,3796,4429,5734,5735,2863,5736, 636,4791,1856,3940, 760, # 5152
1800,5737,4430,2212,1508,4792,4152,1894,1684,2298,5738,5739,4793,4431,4432,2213, # 5168
479,5740,5741, 832,5742,4153,2496,5743,2980,2497,3797, 990,3132, 627,1815,2652, # 5184
4433,1582,4434,2126,2112,3543,4794,5744, 799,4435,3195,5745,4795,2113,1737,3031, # 5200
1018, 543, 754,4436,3342,1676,4796,4797,4154,4798,1489,5746,3544,5747,2624,2903, # 5216
4155,5748,5749,2981,5750,5751,5752,5753,3196,4799,4800,2185,1722,5754,3269,3270, # 5232
1843,3665,1715, 481, 365,1976,1857,5755,5756,1963,2498,4801,5757,2127,3666,3271, # 5248
433,1895,2064,2076,5758, 602,2750,5759,5760,5761,5762,5763,3032,1628,3437,5764, # 5264
3197,4802,4156,2904,4803,2519,5765,2551,2782,5766,5767,5768,3343,4804,2905,5769, # 5280
4805,5770,2864,4806,4807,1221,2982,4157,2520,5771,5772,5773,1868,1990,5774,5775, # 5296
5776,1896,5777,5778,4808,1897,4158, 318,5779,2095,4159,4437,5780,5781, 485,5782, # 5312
938,3941, 553,2680, 116,5783,3942,3667,5784,3545,2681,2783,3438,3344,2820,5785, # 5328
3668,2943,4160,1747,2944,2983,5786,5787, 207,5788,4809,5789,4810,2521,5790,3033, # 5344
890,3669,3943,5791,1878,3798,3439,5792,2186,2358,3440,1652,5793,5794,5795, 941, # 5360
2299, 208,3546,4161,2020, 330,4438,3944,2906,2499,3799,4439,4811,5796,5797,5798, # 5376 #last 512
#Everything below is of no interest for detection purpose
2522,1613,4812,5799,3345,3945,2523,5800,4162,5801,1637,4163,2471,4813,3946,5802, # 5392
2500,3034,3800,5803,5804,2195,4814,5805,2163,5806,5807,5808,5809,5810,5811,5812, # 5408
5813,5814,5815,5816,5817,5818,5819,5820,5821,5822,5823,5824,5825,5826,5827,5828, # 5424
5829,5830,5831,5832,5833,5834,5835,5836,5837,5838,5839,5840,5841,5842,5843,5844, # 5440
5845,5846,5847,5848,5849,5850,5851,5852,5853,5854,5855,5856,5857,5858,5859,5860, # 5456
5861,5862,5863,5864,5865,5866,5867,5868,5869,5870,5871,5872,5873,5874,5875,5876, # 5472
5877,5878,5879,5880,5881,5882,5883,5884,5885,5886,5887,5888,5889,5890,5891,5892, # 5488
5893,5894,5895,5896,5897,5898,5899,5900,5901,5902,5903,5904,5905,5906,5907,5908, # 5504
5909,5910,5911,5912,5913,5914,5915,5916,5917,5918,5919,5920,5921,5922,5923,5924, # 5520
5925,5926,5927,5928,5929,5930,5931,5932,5933,5934,5935,5936,5937,5938,5939,5940, # 5536
5941,5942,5943,5944,5945,5946,5947,5948,5949,5950,5951,5952,5953,5954,5955,5956, # 5552
5957,5958,5959,5960,5961,5962,5963,5964,5965,5966,5967,5968,5969,5970,5971,5972, # 5568
5973,5974,5975,5976,5977,5978,5979,5980,5981,5982,5983,5984,5985,5986,5987,5988, # 5584
5989,5990,5991,5992,5993,5994,5995,5996,5997,5998,5999,6000,6001,6002,6003,6004, # 5600
6005,6006,6007,6008,6009,6010,6011,6012,6013,6014,6015,6016,6017,6018,6019,6020, # 5616
6021,6022,6023,6024,6025,6026,6027,6028,6029,6030,6031,6032,6033,6034,6035,6036, # 5632
6037,6038,6039,6040,6041,6042,6043,6044,6045,6046,6047,6048,6049,6050,6051,6052, # 5648
6053,6054,6055,6056,6057,6058,6059,6060,6061,6062,6063,6064,6065,6066,6067,6068, # 5664
6069,6070,6071,6072,6073,6074,6075,6076,6077,6078,6079,6080,6081,6082,6083,6084, # 5680
6085,6086,6087,6088,6089,6090,6091,6092,6093,6094,6095,6096,6097,6098,6099,6100, # 5696
6101,6102,6103,6104,6105,6106,6107,6108,6109,6110,6111,6112,6113,6114,6115,6116, # 5712
6117,6118,6119,6120,6121,6122,6123,6124,6125,6126,6127,6128,6129,6130,6131,6132, # 5728
6133,6134,6135,6136,6137,6138,6139,6140,6141,6142,6143,6144,6145,6146,6147,6148, # 5744
6149,6150,6151,6152,6153,6154,6155,6156,6157,6158,6159,6160,6161,6162,6163,6164, # 5760
6165,6166,6167,6168,6169,6170,6171,6172,6173,6174,6175,6176,6177,6178,6179,6180, # 5776
6181,6182,6183,6184,6185,6186,6187,6188,6189,6190,6191,6192,6193,6194,6195,6196, # 5792
6197,6198,6199,6200,6201,6202,6203,6204,6205,6206,6207,6208,6209,6210,6211,6212, # 5808
6213,6214,6215,6216,6217,6218,6219,6220,6221,6222,6223,3670,6224,6225,6226,6227, # 5824
6228,6229,6230,6231,6232,6233,6234,6235,6236,6237,6238,6239,6240,6241,6242,6243, # 5840
6244,6245,6246,6247,6248,6249,6250,6251,6252,6253,6254,6255,6256,6257,6258,6259, # 5856
6260,6261,6262,6263,6264,6265,6266,6267,6268,6269,6270,6271,6272,6273,6274,6275, # 5872
6276,6277,6278,6279,6280,6281,6282,6283,6284,6285,4815,6286,6287,6288,6289,6290, # 5888
6291,6292,4816,6293,6294,6295,6296,6297,6298,6299,6300,6301,6302,6303,6304,6305, # 5904
6306,6307,6308,6309,6310,6311,4817,4818,6312,6313,6314,6315,6316,6317,6318,4819, # 5920
6319,6320,6321,6322,6323,6324,6325,6326,6327,6328,6329,6330,6331,6332,6333,6334, # 5936
6335,6336,6337,4820,6338,6339,6340,6341,6342,6343,6344,6345,6346,6347,6348,6349, # 5952
6350,6351,6352,6353,6354,6355,6356,6357,6358,6359,6360,6361,6362,6363,6364,6365, # 5968
6366,6367,6368,6369,6370,6371,6372,6373,6374,6375,6376,6377,6378,6379,6380,6381, # 5984
6382,6383,6384,6385,6386,6387,6388,6389,6390,6391,6392,6393,6394,6395,6396,6397, # 6000
6398,6399,6400,6401,6402,6403,6404,6405,6406,6407,6408,6409,6410,3441,6411,6412, # 6016
6413,6414,6415,6416,6417,6418,6419,6420,6421,6422,6423,6424,6425,4440,6426,6427, # 6032
6428,6429,6430,6431,6432,6433,6434,6435,6436,6437,6438,6439,6440,6441,6442,6443, # 6048
6444,6445,6446,6447,6448,6449,6450,6451,6452,6453,6454,4821,6455,6456,6457,6458, # 6064
6459,6460,6461,6462,6463,6464,6465,6466,6467,6468,6469,6470,6471,6472,6473,6474, # 6080
6475,6476,6477,3947,3948,6478,6479,6480,6481,3272,4441,6482,6483,6484,6485,4442, # 6096
6486,6487,6488,6489,6490,6491,6492,6493,6494,6495,6496,4822,6497,6498,6499,6500, # 6112
6501,6502,6503,6504,6505,6506,6507,6508,6509,6510,6511,6512,6513,6514,6515,6516, # 6128
6517,6518,6519,6520,6521,6522,6523,6524,6525,6526,6527,6528,6529,6530,6531,6532, # 6144
6533,6534,6535,6536,6537,6538,6539,6540,6541,6542,6543,6544,6545,6546,6547,6548, # 6160
6549,6550,6551,6552,6553,6554,6555,6556,2784,6557,4823,6558,6559,6560,6561,6562, # 6176
6563,6564,6565,6566,6567,6568,6569,3949,6570,6571,6572,4824,6573,6574,6575,6576, # 6192
6577,6578,6579,6580,6581,6582,6583,4825,6584,6585,6586,3950,2785,6587,6588,6589, # 6208
6590,6591,6592,6593,6594,6595,6596,6597,6598,6599,6600,6601,6602,6603,6604,6605, # 6224
6606,6607,6608,6609,6610,6611,6612,4826,6613,6614,6615,4827,6616,6617,6618,6619, # 6240
6620,6621,6622,6623,6624,6625,4164,6626,6627,6628,6629,6630,6631,6632,6633,6634, # 6256
3547,6635,4828,6636,6637,6638,6639,6640,6641,6642,3951,2984,6643,6644,6645,6646, # 6272
6647,6648,6649,4165,6650,4829,6651,6652,4830,6653,6654,6655,6656,6657,6658,6659, # 6288
6660,6661,6662,4831,6663,6664,6665,6666,6667,6668,6669,6670,6671,4166,6672,4832, # 6304
3952,6673,6674,6675,6676,4833,6677,6678,6679,4167,6680,6681,6682,3198,6683,6684, # 6320
6685,6686,6687,6688,6689,6690,6691,6692,6693,6694,6695,6696,6697,4834,6698,6699, # 6336
6700,6701,6702,6703,6704,6705,6706,6707,6708,6709,6710,6711,6712,6713,6714,6715, # 6352
6716,6717,6718,6719,6720,6721,6722,6723,6724,6725,6726,6727,6728,6729,6730,6731, # 6368
6732,6733,6734,4443,6735,6736,6737,6738,6739,6740,6741,6742,6743,6744,6745,4444, # 6384
6746,6747,6748,6749,6750,6751,6752,6753,6754,6755,6756,6757,6758,6759,6760,6761, # 6400
6762,6763,6764,6765,6766,6767,6768,6769,6770,6771,6772,6773,6774,6775,6776,6777, # 6416
6778,6779,6780,6781,4168,6782,6783,3442,6784,6785,6786,6787,6788,6789,6790,6791, # 6432
4169,6792,6793,6794,6795,6796,6797,6798,6799,6800,6801,6802,6803,6804,6805,6806, # 6448
6807,6808,6809,6810,6811,4835,6812,6813,6814,4445,6815,6816,4446,6817,6818,6819, # 6464
6820,6821,6822,6823,6824,6825,6826,6827,6828,6829,6830,6831,6832,6833,6834,6835, # 6480
3548,6836,6837,6838,6839,6840,6841,6842,6843,6844,6845,6846,4836,6847,6848,6849, # 6496
6850,6851,6852,6853,6854,3953,6855,6856,6857,6858,6859,6860,6861,6862,6863,6864, # 6512
6865,6866,6867,6868,6869,6870,6871,6872,6873,6874,6875,6876,6877,3199,6878,6879, # 6528
6880,6881,6882,4447,6883,6884,6885,6886,6887,6888,6889,6890,6891,6892,6893,6894, # 6544
6895,6896,6897,6898,6899,6900,6901,6902,6903,6904,4170,6905,6906,6907,6908,6909, # 6560
6910,6911,6912,6913,6914,6915,6916,6917,6918,6919,6920,6921,6922,6923,6924,6925, # 6576
6926,6927,4837,6928,6929,6930,6931,6932,6933,6934,6935,6936,3346,6937,6938,4838, # 6592
6939,6940,6941,4448,6942,6943,6944,6945,6946,4449,6947,6948,6949,6950,6951,6952, # 6608
6953,6954,6955,6956,6957,6958,6959,6960,6961,6962,6963,6964,6965,6966,6967,6968, # 6624
6969,6970,6971,6972,6973,6974,6975,6976,6977,6978,6979,6980,6981,6982,6983,6984, # 6640
6985,6986,6987,6988,6989,6990,6991,6992,6993,6994,3671,6995,6996,6997,6998,4839, # 6656
6999,7000,7001,7002,3549,7003,7004,7005,7006,7007,7008,7009,7010,7011,7012,7013, # 6672
7014,7015,7016,7017,7018,7019,7020,7021,7022,7023,7024,7025,7026,7027,7028,7029, # 6688
7030,4840,7031,7032,7033,7034,7035,7036,7037,7038,4841,7039,7040,7041,7042,7043, # 6704
7044,7045,7046,7047,7048,7049,7050,7051,7052,7053,7054,7055,7056,7057,7058,7059, # 6720
7060,7061,7062,7063,7064,7065,7066,7067,7068,7069,7070,2985,7071,7072,7073,7074, # 6736
7075,7076,7077,7078,7079,7080,4842,7081,7082,7083,7084,7085,7086,7087,7088,7089, # 6752
7090,7091,7092,7093,7094,7095,7096,7097,7098,7099,7100,7101,7102,7103,7104,7105, # 6768
7106,7107,7108,7109,7110,7111,7112,7113,7114,7115,7116,7117,7118,4450,7119,7120, # 6784
7121,7122,7123,7124,7125,7126,7127,7128,7129,7130,7131,7132,7133,7134,7135,7136, # 6800
7137,7138,7139,7140,7141,7142,7143,4843,7144,7145,7146,7147,7148,7149,7150,7151, # 6816
7152,7153,7154,7155,7156,7157,7158,7159,7160,7161,7162,7163,7164,7165,7166,7167, # 6832
7168,7169,7170,7171,7172,7173,7174,7175,7176,7177,7178,7179,7180,7181,7182,7183, # 6848
7184,7185,7186,7187,7188,4171,4172,7189,7190,7191,7192,7193,7194,7195,7196,7197, # 6864
7198,7199,7200,7201,7202,7203,7204,7205,7206,7207,7208,7209,7210,7211,7212,7213, # 6880
7214,7215,7216,7217,7218,7219,7220,7221,7222,7223,7224,7225,7226,7227,7228,7229, # 6896
7230,7231,7232,7233,7234,7235,7236,7237,7238,7239,7240,7241,7242,7243,7244,7245, # 6912
7246,7247,7248,7249,7250,7251,7252,7253,7254,7255,7256,7257,7258,7259,7260,7261, # 6928
7262,7263,7264,7265,7266,7267,7268,7269,7270,7271,7272,7273,7274,7275,7276,7277, # 6944
7278,7279,7280,7281,7282,7283,7284,7285,7286,7287,7288,7289,7290,7291,7292,7293, # 6960
7294,7295,7296,4844,7297,7298,7299,7300,7301,7302,7303,7304,7305,7306,7307,7308, # 6976
7309,7310,7311,7312,7313,7314,7315,7316,4451,7317,7318,7319,7320,7321,7322,7323, # 6992
7324,7325,7326,7327,7328,7329,7330,7331,7332,7333,7334,7335,7336,7337,7338,7339, # 7008
7340,7341,7342,7343,7344,7345,7346,7347,7348,7349,7350,7351,7352,7353,4173,7354, # 7024
7355,4845,7356,7357,7358,7359,7360,7361,7362,7363,7364,7365,7366,7367,7368,7369, # 7040
7370,7371,7372,7373,7374,7375,7376,7377,7378,7379,7380,7381,7382,7383,7384,7385, # 7056
7386,7387,7388,4846,7389,7390,7391,7392,7393,7394,7395,7396,7397,7398,7399,7400, # 7072
7401,7402,7403,7404,7405,3672,7406,7407,7408,7409,7410,7411,7412,7413,7414,7415, # 7088
7416,7417,7418,7419,7420,7421,7422,7423,7424,7425,7426,7427,7428,7429,7430,7431, # 7104
7432,7433,7434,7435,7436,7437,7438,7439,7440,7441,7442,7443,7444,7445,7446,7447, # 7120
7448,7449,7450,7451,7452,7453,4452,7454,3200,7455,7456,7457,7458,7459,7460,7461, # 7136
7462,7463,7464,7465,7466,7467,7468,7469,7470,7471,7472,7473,7474,4847,7475,7476, # 7152
7477,3133,7478,7479,7480,7481,7482,7483,7484,7485,7486,7487,7488,7489,7490,7491, # 7168
7492,7493,7494,7495,7496,7497,7498,7499,7500,7501,7502,3347,7503,7504,7505,7506, # 7184
7507,7508,7509,7510,7511,7512,7513,7514,7515,7516,7517,7518,7519,7520,7521,4848, # 7200
7522,7523,7524,7525,7526,7527,7528,7529,7530,7531,7532,7533,7534,7535,7536,7537, # 7216
7538,7539,7540,7541,7542,7543,7544,7545,7546,7547,7548,7549,3801,4849,7550,7551, # 7232
7552,7553,7554,7555,7556,7557,7558,7559,7560,7561,7562,7563,7564,7565,7566,7567, # 7248
7568,7569,3035,7570,7571,7572,7573,7574,7575,7576,7577,7578,7579,7580,7581,7582, # 7264
7583,7584,7585,7586,7587,7588,7589,7590,7591,7592,7593,7594,7595,7596,7597,7598, # 7280
7599,7600,7601,7602,7603,7604,7605,7606,7607,7608,7609,7610,7611,7612,7613,7614, # 7296
7615,7616,4850,7617,7618,3802,7619,7620,7621,7622,7623,7624,7625,7626,7627,7628, # 7312
7629,7630,7631,7632,4851,7633,7634,7635,7636,7637,7638,7639,7640,7641,7642,7643, # 7328
7644,7645,7646,7647,7648,7649,7650,7651,7652,7653,7654,7655,7656,7657,7658,7659, # 7344
7660,7661,7662,7663,7664,7665,7666,7667,7668,7669,7670,4453,7671,7672,7673,7674, # 7360
7675,7676,7677,7678,7679,7680,7681,7682,7683,7684,7685,7686,7687,7688,7689,7690, # 7376
7691,7692,7693,7694,7695,7696,7697,3443,7698,7699,7700,7701,7702,4454,7703,7704, # 7392
7705,7706,7707,7708,7709,7710,7711,7712,7713,2472,7714,7715,7716,7717,7718,7719, # 7408
7720,7721,7722,7723,7724,7725,7726,7727,7728,7729,7730,7731,3954,7732,7733,7734, # 7424
7735,7736,7737,7738,7739,7740,7741,7742,7743,7744,7745,7746,7747,7748,7749,7750, # 7440
3134,7751,7752,4852,7753,7754,7755,4853,7756,7757,7758,7759,7760,4174,7761,7762, # 7456
7763,7764,7765,7766,7767,7768,7769,7770,7771,7772,7773,7774,7775,7776,7777,7778, # 7472
7779,7780,7781,7782,7783,7784,7785,7786,7787,7788,7789,7790,7791,7792,7793,7794, # 7488
7795,7796,7797,7798,7799,7800,7801,7802,7803,7804,7805,4854,7806,7807,7808,7809, # 7504
7810,7811,7812,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,7824,7825, # 7520
4855,7826,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,7840, # 7536
7841,7842,7843,7844,7845,7846,7847,3955,7848,7849,7850,7851,7852,7853,7854,7855, # 7552
7856,7857,7858,7859,7860,3444,7861,7862,7863,7864,7865,7866,7867,7868,7869,7870, # 7568
7871,7872,7873,7874,7875,7876,7877,7878,7879,7880,7881,7882,7883,7884,7885,7886, # 7584
7887,7888,7889,7890,7891,4175,7892,7893,7894,7895,7896,4856,4857,7897,7898,7899, # 7600
7900,2598,7901,7902,7903,7904,7905,7906,7907,7908,4455,7909,7910,7911,7912,7913, # 7616
7914,3201,7915,7916,7917,7918,7919,7920,7921,4858,7922,7923,7924,7925,7926,7927, # 7632
7928,7929,7930,7931,7932,7933,7934,7935,7936,7937,7938,7939,7940,7941,7942,7943, # 7648
7944,7945,7946,7947,7948,7949,7950,7951,7952,7953,7954,7955,7956,7957,7958,7959, # 7664
7960,7961,7962,7963,7964,7965,7966,7967,7968,7969,7970,7971,7972,7973,7974,7975, # 7680
7976,7977,7978,7979,7980,7981,4859,7982,7983,7984,7985,7986,7987,7988,7989,7990, # 7696
7991,7992,7993,7994,7995,7996,4860,7997,7998,7999,8000,8001,8002,8003,8004,8005, # 7712
8006,8007,8008,8009,8010,8011,8012,8013,8014,8015,8016,4176,8017,8018,8019,8020, # 7728
8021,8022,8023,4861,8024,8025,8026,8027,8028,8029,8030,8031,8032,8033,8034,8035, # 7744
8036,4862,4456,8037,8038,8039,8040,4863,8041,8042,8043,8044,8045,8046,8047,8048, # 7760
8049,8050,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063,8064, # 7776
8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078,8079,8080, # 7792
8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092,8093,8094,8095,8096, # 7808
8097,8098,8099,4864,4177,8100,8101,8102,8103,8104,8105,8106,8107,8108,8109,8110, # 7824
8111,8112,8113,8114,8115,8116,8117,8118,8119,8120,4178,8121,8122,8123,8124,8125, # 7840
8126,8127,8128,8129,8130,8131,8132,8133,8134,8135,8136,8137,8138,8139,8140,8141, # 7856
8142,8143,8144,8145,4865,4866,8146,8147,8148,8149,8150,8151,8152,8153,8154,8155, # 7872
8156,8157,8158,8159,8160,8161,8162,8163,8164,8165,4179,8166,8167,8168,8169,8170, # 7888
8171,8172,8173,8174,8175,8176,8177,8178,8179,8180,8181,4457,8182,8183,8184,8185, # 7904
8186,8187,8188,8189,8190,8191,8192,8193,8194,8195,8196,8197,8198,8199,8200,8201, # 7920
8202,8203,8204,8205,8206,8207,8208,8209,8210,8211,8212,8213,8214,8215,8216,8217, # 7936
8218,8219,8220,8221,8222,8223,8224,8225,8226,8227,8228,8229,8230,8231,8232,8233, # 7952
8234,8235,8236,8237,8238,8239,8240,8241,8242,8243,8244,8245,8246,8247,8248,8249, # 7968
8250,8251,8252,8253,8254,8255,8256,3445,8257,8258,8259,8260,8261,8262,4458,8263, # 7984
8264,8265,8266,8267,8268,8269,8270,8271,8272,4459,8273,8274,8275,8276,3550,8277, # 8000
8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,8288,8289,4460,8290,8291,8292, # 8016
8293,8294,8295,8296,8297,8298,8299,8300,8301,8302,8303,8304,8305,8306,8307,4867, # 8032
8308,8309,8310,8311,8312,3551,8313,8314,8315,8316,8317,8318,8319,8320,8321,8322, # 8048
8323,8324,8325,8326,4868,8327,8328,8329,8330,8331,8332,8333,8334,8335,8336,8337, # 8064
8338,8339,8340,8341,8342,8343,8344,8345,8346,8347,8348,8349,8350,8351,8352,8353, # 8080
8354,8355,8356,8357,8358,8359,8360,8361,8362,8363,4869,4461,8364,8365,8366,8367, # 8096
8368,8369,8370,4870,8371,8372,8373,8374,8375,8376,8377,8378,8379,8380,8381,8382, # 8112
8383,8384,8385,8386,8387,8388,8389,8390,8391,8392,8393,8394,8395,8396,8397,8398, # 8128
8399,8400,8401,8402,8403,8404,8405,8406,8407,8408,8409,8410,4871,8411,8412,8413, # 8144
8414,8415,8416,8417,8418,8419,8420,8421,8422,4462,8423,8424,8425,8426,8427,8428, # 8160
8429,8430,8431,8432,8433,2986,8434,8435,8436,8437,8438,8439,8440,8441,8442,8443, # 8176
8444,8445,8446,8447,8448,8449,8450,8451,8452,8453,8454,8455,8456,8457,8458,8459, # 8192
8460,8461,8462,8463,8464,8465,8466,8467,8468,8469,8470,8471,8472,8473,8474,8475, # 8208
8476,8477,8478,4180,8479,8480,8481,8482,8483,8484,8485,8486,8487,8488,8489,8490, # 8224
8491,8492,8493,8494,8495,8496,8497,8498,8499,8500,8501,8502,8503,8504,8505,8506, # 8240
8507,8508,8509,8510,8511,8512,8513,8514,8515,8516,8517,8518,8519,8520,8521,8522, # 8256
8523,8524,8525,8526,8527,8528,8529,8530,8531,8532,8533,8534,8535,8536,8537,8538, # 8272
8539,8540,8541,8542,8543,8544,8545,8546,8547,8548,8549,8550,8551,8552,8553,8554, # 8288
8555,8556,8557,8558,8559,8560,8561,8562,8563,8564,4872,8565,8566,8567,8568,8569, # 8304
8570,8571,8572,8573,4873,8574,8575,8576,8577,8578,8579,8580,8581,8582,8583,8584, # 8320
8585,8586,8587,8588,8589,8590,8591,8592,8593,8594,8595,8596,8597,8598,8599,8600, # 8336
8601,8602,8603,8604,8605,3803,8606,8607,8608,8609,8610,8611,8612,8613,4874,3804, # 8352
8614,8615,8616,8617,8618,8619,8620,8621,3956,8622,8623,8624,8625,8626,8627,8628, # 8368
8629,8630,8631,8632,8633,8634,8635,8636,8637,8638,2865,8639,8640,8641,8642,8643, # 8384
8644,8645,8646,8647,8648,8649,8650,8651,8652,8653,8654,8655,8656,4463,8657,8658, # 8400
8659,4875,4876,8660,8661,8662,8663,8664,8665,8666,8667,8668,8669,8670,8671,8672, # 8416
8673,8674,8675,8676,8677,8678,8679,8680,8681,4464,8682,8683,8684,8685,8686,8687, # 8432
8688,8689,8690,8691,8692,8693,8694,8695,8696,8697,8698,8699,8700,8701,8702,8703, # 8448
8704,8705,8706,8707,8708,8709,2261,8710,8711,8712,8713,8714,8715,8716,8717,8718, # 8464
8719,8720,8721,8722,8723,8724,8725,8726,8727,8728,8729,8730,8731,8732,8733,4181, # 8480
8734,8735,8736,8737,8738,8739,8740,8741,8742,8743,8744,8745,8746,8747,8748,8749, # 8496
8750,8751,8752,8753,8754,8755,8756,8757,8758,8759,8760,8761,8762,8763,4877,8764, # 8512
8765,8766,8767,8768,8769,8770,8771,8772,8773,8774,8775,8776,8777,8778,8779,8780, # 8528
8781,8782,8783,8784,8785,8786,8787,8788,4878,8789,4879,8790,8791,8792,4880,8793, # 8544
8794,8795,8796,8797,8798,8799,8800,8801,4881,8802,8803,8804,8805,8806,8807,8808, # 8560
8809,8810,8811,8812,8813,8814,8815,3957,8816,8817,8818,8819,8820,8821,8822,8823, # 8576
8824,8825,8826,8827,8828,8829,8830,8831,8832,8833,8834,8835,8836,8837,8838,8839, # 8592
8840,8841,8842,8843,8844,8845,8846,8847,4882,8848,8849,8850,8851,8852,8853,8854, # 8608
8855,8856,8857,8858,8859,8860,8861,8862,8863,8864,8865,8866,8867,8868,8869,8870, # 8624
8871,8872,8873,8874,8875,8876,8877,8878,8879,8880,8881,8882,8883,8884,3202,8885, # 8640
8886,8887,8888,8889,8890,8891,8892,8893,8894,8895,8896,8897,8898,8899,8900,8901, # 8656
8902,8903,8904,8905,8906,8907,8908,8909,8910,8911,8912,8913,8914,8915,8916,8917, # 8672
8918,8919,8920,8921,8922,8923,8924,4465,8925,8926,8927,8928,8929,8930,8931,8932, # 8688
4883,8933,8934,8935,8936,8937,8938,8939,8940,8941,8942,8943,2214,8944,8945,8946, # 8704
8947,8948,8949,8950,8951,8952,8953,8954,8955,8956,8957,8958,8959,8960,8961,8962, # 8720
8963,8964,8965,4884,8966,8967,8968,8969,8970,8971,8972,8973,8974,8975,8976,8977, # 8736
8978,8979,8980,8981,8982,8983,8984,8985,8986,8987,8988,8989,8990,8991,8992,4885, # 8752
8993,8994,8995,8996,8997,8998,8999,9000,9001,9002,9003,9004,9005,9006,9007,9008, # 8768
9009,9010,9011,9012,9013,9014,9015,9016,9017,9018,9019,9020,9021,4182,9022,9023, # 8784
9024,9025,9026,9027,9028,9029,9030,9031,9032,9033,9034,9035,9036,9037,9038,9039, # 8800
9040,9041,9042,9043,9044,9045,9046,9047,9048,9049,9050,9051,9052,9053,9054,9055, # 8816
9056,9057,9058,9059,9060,9061,9062,9063,4886,9064,9065,9066,9067,9068,9069,4887, # 8832
9070,9071,9072,9073,9074,9075,9076,9077,9078,9079,9080,9081,9082,9083,9084,9085, # 8848
9086,9087,9088,9089,9090,9091,9092,9093,9094,9095,9096,9097,9098,9099,9100,9101, # 8864
9102,9103,9104,9105,9106,9107,9108,9109,9110,9111,9112,9113,9114,9115,9116,9117, # 8880
9118,9119,9120,9121,9122,9123,9124,9125,9126,9127,9128,9129,9130,9131,9132,9133, # 8896
9134,9135,9136,9137,9138,9139,9140,9141,3958,9142,9143,9144,9145,9146,9147,9148, # 8912
9149,9150,9151,4888,9152,9153,9154,9155,9156,9157,9158,9159,9160,9161,9162,9163, # 8928
9164,9165,9166,9167,9168,9169,9170,9171,9172,9173,9174,9175,4889,9176,9177,9178, # 8944
9179,9180,9181,9182,9183,9184,9185,9186,9187,9188,9189,9190,9191,9192,9193,9194, # 8960
9195,9196,9197,9198,9199,9200,9201,9202,9203,4890,9204,9205,9206,9207,9208,9209, # 8976
9210,9211,9212,9213,9214,9215,9216,9217,9218,9219,9220,9221,9222,4466,9223,9224, # 8992
9225,9226,9227,9228,9229,9230,9231,9232,9233,9234,9235,9236,9237,9238,9239,9240, # 9008
9241,9242,9243,9244,9245,4891,9246,9247,9248,9249,9250,9251,9252,9253,9254,9255, # 9024
9256,9257,4892,9258,9259,9260,9261,4893,4894,9262,9263,9264,9265,9266,9267,9268, # 9040
9269,9270,9271,9272,9273,4467,9274,9275,9276,9277,9278,9279,9280,9281,9282,9283, # 9056
9284,9285,3673,9286,9287,9288,9289,9290,9291,9292,9293,9294,9295,9296,9297,9298, # 9072
9299,9300,9301,9302,9303,9304,9305,9306,9307,9308,9309,9310,9311,9312,9313,9314, # 9088
9315,9316,9317,9318,9319,9320,9321,9322,4895,9323,9324,9325,9326,9327,9328,9329, # 9104
9330,9331,9332,9333,9334,9335,9336,9337,9338,9339,9340,9341,9342,9343,9344,9345, # 9120
9346,9347,4468,9348,9349,9350,9351,9352,9353,9354,9355,9356,9357,9358,9359,9360, # 9136
9361,9362,9363,9364,9365,9366,9367,9368,9369,9370,9371,9372,9373,4896,9374,4469, # 9152
9375,9376,9377,9378,9379,4897,9380,9381,9382,9383,9384,9385,9386,9387,9388,9389, # 9168
9390,9391,9392,9393,9394,9395,9396,9397,9398,9399,9400,9401,9402,9403,9404,9405, # 9184
9406,4470,9407,2751,9408,9409,3674,3552,9410,9411,9412,9413,9414,9415,9416,9417, # 9200
9418,9419,9420,9421,4898,9422,9423,9424,9425,9426,9427,9428,9429,3959,9430,9431, # 9216
9432,9433,9434,9435,9436,4471,9437,9438,9439,9440,9441,9442,9443,9444,9445,9446, # 9232
9447,9448,9449,9450,3348,9451,9452,9453,9454,9455,9456,9457,9458,9459,9460,9461, # 9248
9462,9463,9464,9465,9466,9467,9468,9469,9470,9471,9472,4899,9473,9474,9475,9476, # 9264
9477,4900,9478,9479,9480,9481,9482,9483,9484,9485,9486,9487,9488,3349,9489,9490, # 9280
9491,9492,9493,9494,9495,9496,9497,9498,9499,9500,9501,9502,9503,9504,9505,9506, # 9296
9507,9508,9509,9510,9511,9512,9513,9514,9515,9516,9517,9518,9519,9520,4901,9521, # 9312
9522,9523,9524,9525,9526,4902,9527,9528,9529,9530,9531,9532,9533,9534,9535,9536, # 9328
9537,9538,9539,9540,9541,9542,9543,9544,9545,9546,9547,9548,9549,9550,9551,9552, # 9344
9553,9554,9555,9556,9557,9558,9559,9560,9561,9562,9563,9564,9565,9566,9567,9568, # 9360
9569,9570,9571,9572,9573,9574,9575,9576,9577,9578,9579,9580,9581,9582,9583,9584, # 9376
3805,9585,9586,9587,9588,9589,9590,9591,9592,9593,9594,9595,9596,9597,9598,9599, # 9392
9600,9601,9602,4903,9603,9604,9605,9606,9607,4904,9608,9609,9610,9611,9612,9613, # 9408
9614,4905,9615,9616,9617,9618,9619,9620,9621,9622,9623,9624,9625,9626,9627,9628, # 9424
9629,9630,9631,9632,4906,9633,9634,9635,9636,9637,9638,9639,9640,9641,9642,9643, # 9440
4907,9644,9645,9646,9647,9648,9649,9650,9651,9652,9653,9654,9655,9656,9657,9658, # 9456
9659,9660,9661,9662,9663,9664,9665,9666,9667,9668,9669,9670,9671,9672,4183,9673, # 9472
9674,9675,9676,9677,4908,9678,9679,9680,9681,4909,9682,9683,9684,9685,9686,9687, # 9488
9688,9689,9690,4910,9691,9692,9693,3675,9694,9695,9696,2945,9697,9698,9699,9700, # 9504
9701,9702,9703,9704,9705,4911,9706,9707,9708,9709,9710,9711,9712,9713,9714,9715, # 9520
9716,9717,9718,9719,9720,9721,9722,9723,9724,9725,9726,9727,9728,9729,9730,9731, # 9536
9732,9733,9734,9735,4912,9736,9737,9738,9739,9740,4913,9741,9742,9743,9744,9745, # 9552
9746,9747,9748,9749,9750,9751,9752,9753,9754,9755,9756,9757,9758,4914,9759,9760, # 9568
9761,9762,9763,9764,9765,9766,9767,9768,9769,9770,9771,9772,9773,9774,9775,9776, # 9584
9777,9778,9779,9780,9781,9782,4915,9783,9784,9785,9786,9787,9788,9789,9790,9791, # 9600
9792,9793,4916,9794,9795,9796,9797,9798,9799,9800,9801,9802,9803,9804,9805,9806, # 9616
9807,9808,9809,9810,9811,9812,9813,9814,9815,9816,9817,9818,9819,9820,9821,9822, # 9632
9823,9824,9825,9826,9827,9828,9829,9830,9831,9832,9833,9834,9835,9836,9837,9838, # 9648
9839,9840,9841,9842,9843,9844,9845,9846,9847,9848,9849,9850,9851,9852,9853,9854, # 9664
9855,9856,9857,9858,9859,9860,9861,9862,9863,9864,9865,9866,9867,9868,4917,9869, # 9680
9870,9871,9872,9873,9874,9875,9876,9877,9878,9879,9880,9881,9882,9883,9884,9885, # 9696
9886,9887,9888,9889,9890,9891,9892,4472,9893,9894,9895,9896,9897,3806,9898,9899, # 9712
9900,9901,9902,9903,9904,9905,9906,9907,9908,9909,9910,9911,9912,9913,9914,4918, # 9728
9915,9916,9917,4919,9918,9919,9920,9921,4184,9922,9923,9924,9925,9926,9927,9928, # 9744
9929,9930,9931,9932,9933,9934,9935,9936,9937,9938,9939,9940,9941,9942,9943,9944, # 9760
9945,9946,4920,9947,9948,9949,9950,9951,9952,9953,9954,9955,4185,9956,9957,9958, # 9776
9959,9960,9961,9962,9963,9964,9965,4921,9966,9967,9968,4473,9969,9970,9971,9972, # 9792
9973,9974,9975,9976,9977,4474,9978,9979,9980,9981,9982,9983,9984,9985,9986,9987, # 9808
9988,9989,9990,9991,9992,9993,9994,9995,9996,9997,9998,9999,10000,10001,10002,10003, # 9824
10004,10005,10006,10007,10008,10009,10010,10011,10012,10013,10014,10015,10016,10017,10018,10019, # 9840
10020,10021,4922,10022,4923,10023,10024,10025,10026,10027,10028,10029,10030,10031,10032,10033, # 9856
10034,10035,10036,10037,10038,10039,10040,10041,10042,10043,10044,10045,10046,10047,10048,4924, # 9872
10049,10050,10051,10052,10053,10054,10055,10056,10057,10058,10059,10060,10061,10062,10063,10064, # 9888
10065,10066,10067,10068,10069,10070,10071,10072,10073,10074,10075,10076,10077,10078,10079,10080, # 9904
10081,10082,10083,10084,10085,10086,10087,4475,10088,10089,10090,10091,10092,10093,10094,10095, # 9920
10096,10097,4476,10098,10099,10100,10101,10102,10103,10104,10105,10106,10107,10108,10109,10110, # 9936
10111,2174,10112,10113,10114,10115,10116,10117,10118,10119,10120,10121,10122,10123,10124,10125, # 9952
10126,10127,10128,10129,10130,10131,10132,10133,10134,10135,10136,10137,10138,10139,10140,3807, # 9968
4186,4925,10141,10142,10143,10144,10145,10146,10147,4477,4187,10148,10149,10150,10151,10152, # 9984
10153,4188,10154,10155,10156,10157,10158,10159,10160,10161,4926,10162,10163,10164,10165,10166, #10000
10167,10168,10169,10170,10171,10172,10173,10174,10175,10176,10177,10178,10179,10180,10181,10182, #10016
10183,10184,10185,10186,10187,10188,10189,10190,10191,10192,3203,10193,10194,10195,10196,10197, #10032
10198,10199,10200,4478,10201,10202,10203,10204,4479,10205,10206,10207,10208,10209,10210,10211, #10048
10212,10213,10214,10215,10216,10217,10218,10219,10220,10221,10222,10223,10224,10225,10226,10227, #10064
10228,10229,10230,10231,10232,10233,10234,4927,10235,10236,10237,10238,10239,10240,10241,10242, #10080
10243,10244,10245,10246,10247,10248,10249,10250,10251,10252,10253,10254,10255,10256,10257,10258, #10096
10259,10260,10261,10262,10263,10264,10265,10266,10267,10268,10269,10270,10271,10272,10273,4480, #10112
4928,4929,10274,10275,10276,10277,10278,10279,10280,10281,10282,10283,10284,10285,10286,10287, #10128
10288,10289,10290,10291,10292,10293,10294,10295,10296,10297,10298,10299,10300,10301,10302,10303, #10144
10304,10305,10306,10307,10308,10309,10310,10311,10312,10313,10314,10315,10316,10317,10318,10319, #10160
10320,10321,10322,10323,10324,10325,10326,10327,10328,10329,10330,10331,10332,10333,10334,4930, #10176
10335,10336,10337,10338,10339,10340,10341,10342,4931,10343,10344,10345,10346,10347,10348,10349, #10192
10350,10351,10352,10353,10354,10355,3088,10356,2786,10357,10358,10359,10360,4189,10361,10362, #10208
10363,10364,10365,10366,10367,10368,10369,10370,10371,10372,10373,10374,10375,4932,10376,10377, #10224
10378,10379,10380,10381,10382,10383,10384,10385,10386,10387,10388,10389,10390,10391,10392,4933, #10240
10393,10394,10395,4934,10396,10397,10398,10399,10400,10401,10402,10403,10404,10405,10406,10407, #10256
10408,10409,10410,10411,10412,3446,10413,10414,10415,10416,10417,10418,10419,10420,10421,10422, #10272
10423,4935,10424,10425,10426,10427,10428,10429,10430,4936,10431,10432,10433,10434,10435,10436, #10288
10437,10438,10439,10440,10441,10442,10443,4937,10444,10445,10446,10447,4481,10448,10449,10450, #10304
10451,10452,10453,10454,10455,10456,10457,10458,10459,10460,10461,10462,10463,10464,10465,10466, #10320
10467,10468,10469,10470,10471,10472,10473,10474,10475,10476,10477,10478,10479,10480,10481,10482, #10336
10483,10484,10485,10486,10487,10488,10489,10490,10491,10492,10493,10494,10495,10496,10497,10498, #10352
10499,10500,10501,10502,10503,10504,10505,4938,10506,10507,10508,10509,10510,2552,10511,10512, #10368
10513,10514,10515,10516,3447,10517,10518,10519,10520,10521,10522,10523,10524,10525,10526,10527, #10384
10528,10529,10530,10531,10532,10533,10534,10535,10536,10537,10538,10539,10540,10541,10542,10543, #10400
4482,10544,4939,10545,10546,10547,10548,10549,10550,10551,10552,10553,10554,10555,10556,10557, #10416
10558,10559,10560,10561,10562,10563,10564,10565,10566,10567,3676,4483,10568,10569,10570,10571, #10432
10572,3448,10573,10574,10575,10576,10577,10578,10579,10580,10581,10582,10583,10584,10585,10586, #10448
10587,10588,10589,10590,10591,10592,10593,10594,10595,10596,10597,10598,10599,10600,10601,10602, #10464
10603,10604,10605,10606,10607,10608,10609,10610,10611,10612,10613,10614,10615,10616,10617,10618, #10480
10619,10620,10621,10622,10623,10624,10625,10626,10627,4484,10628,10629,10630,10631,10632,4940, #10496
10633,10634,10635,10636,10637,10638,10639,10640,10641,10642,10643,10644,10645,10646,10647,10648, #10512
10649,10650,10651,10652,10653,10654,10655,10656,4941,10657,10658,10659,2599,10660,10661,10662, #10528
10663,10664,10665,10666,3089,10667,10668,10669,10670,10671,10672,10673,10674,10675,10676,10677, #10544
10678,10679,10680,4942,10681,10682,10683,10684,10685,10686,10687,10688,10689,10690,10691,10692, #10560
10693,10694,10695,10696,10697,4485,10698,10699,10700,10701,10702,10703,10704,4943,10705,3677, #10576
10706,10707,10708,10709,10710,10711,10712,4944,10713,10714,10715,10716,10717,10718,10719,10720, #10592
10721,10722,10723,10724,10725,10726,10727,10728,4945,10729,10730,10731,10732,10733,10734,10735, #10608
10736,10737,10738,10739,10740,10741,10742,10743,10744,10745,10746,10747,10748,10749,10750,10751, #10624
10752,10753,10754,10755,10756,10757,10758,10759,10760,10761,4946,10762,10763,10764,10765,10766, #10640
10767,4947,4948,10768,10769,10770,10771,10772,10773,10774,10775,10776,10777,10778,10779,10780, #10656
10781,10782,10783,10784,10785,10786,10787,10788,10789,10790,10791,10792,10793,10794,10795,10796, #10672
10797,10798,10799,10800,10801,10802,10803,10804,10805,10806,10807,10808,10809,10810,10811,10812, #10688
10813,10814,10815,10816,10817,10818,10819,10820,10821,10822,10823,10824,10825,10826,10827,10828, #10704
10829,10830,10831,10832,10833,10834,10835,10836,10837,10838,10839,10840,10841,10842,10843,10844, #10720
10845,10846,10847,10848,10849,10850,10851,10852,10853,10854,10855,10856,10857,10858,10859,10860, #10736
10861,10862,10863,10864,10865,10866,10867,10868,10869,10870,10871,10872,10873,10874,10875,10876, #10752
10877,10878,4486,10879,10880,10881,10882,10883,10884,10885,4949,10886,10887,10888,10889,10890, #10768
10891,10892,10893,10894,10895,10896,10897,10898,10899,10900,10901,10902,10903,10904,10905,10906, #10784
10907,10908,10909,10910,10911,10912,10913,10914,10915,10916,10917,10918,10919,4487,10920,10921, #10800
10922,10923,10924,10925,10926,10927,10928,10929,10930,10931,10932,4950,10933,10934,10935,10936, #10816
10937,10938,10939,10940,10941,10942,10943,10944,10945,10946,10947,10948,10949,4488,10950,10951, #10832
10952,10953,10954,10955,10956,10957,10958,10959,4190,10960,10961,10962,10963,10964,10965,10966, #10848
10967,10968,10969,10970,10971,10972,10973,10974,10975,10976,10977,10978,10979,10980,10981,10982, #10864
10983,10984,10985,10986,10987,10988,10989,10990,10991,10992,10993,10994,10995,10996,10997,10998, #10880
10999,11000,11001,11002,11003,11004,11005,11006,3960,11007,11008,11009,11010,11011,11012,11013, #10896
11014,11015,11016,11017,11018,11019,11020,11021,11022,11023,11024,11025,11026,11027,11028,11029, #10912
11030,11031,11032,4951,11033,11034,11035,11036,11037,11038,11039,11040,11041,11042,11043,11044, #10928
11045,11046,11047,4489,11048,11049,11050,11051,4952,11052,11053,11054,11055,11056,11057,11058, #10944
4953,11059,11060,11061,11062,11063,11064,11065,11066,11067,11068,11069,11070,11071,4954,11072, #10960
11073,11074,11075,11076,11077,11078,11079,11080,11081,11082,11083,11084,11085,11086,11087,11088, #10976
11089,11090,11091,11092,11093,11094,11095,11096,11097,11098,11099,11100,11101,11102,11103,11104, #10992
11105,11106,11107,11108,11109,11110,11111,11112,11113,11114,11115,3808,11116,11117,11118,11119, #11008
11120,11121,11122,11123,11124,11125,11126,11127,11128,11129,11130,11131,11132,11133,11134,4955, #11024
11135,11136,11137,11138,11139,11140,11141,11142,11143,11144,11145,11146,11147,11148,11149,11150, #11040
11151,11152,11153,11154,11155,11156,11157,11158,11159,11160,11161,4956,11162,11163,11164,11165, #11056
11166,11167,11168,11169,11170,11171,11172,11173,11174,11175,11176,11177,11178,11179,11180,4957, #11072
11181,11182,11183,11184,11185,11186,4958,11187,11188,11189,11190,11191,11192,11193,11194,11195, #11088
11196,11197,11198,11199,11200,3678,11201,11202,11203,11204,11205,11206,4191,11207,11208,11209, #11104
11210,11211,11212,11213,11214,11215,11216,11217,11218,11219,11220,11221,11222,11223,11224,11225, #11120
11226,11227,11228,11229,11230,11231,11232,11233,11234,11235,11236,11237,11238,11239,11240,11241, #11136
11242,11243,11244,11245,11246,11247,11248,11249,11250,11251,4959,11252,11253,11254,11255,11256, #11152
11257,11258,11259,11260,11261,11262,11263,11264,11265,11266,11267,11268,11269,11270,11271,11272, #11168
11273,11274,11275,11276,11277,11278,11279,11280,11281,11282,11283,11284,11285,11286,11287,11288, #11184
11289,11290,11291,11292,11293,11294,11295,11296,11297,11298,11299,11300,11301,11302,11303,11304, #11200
11305,11306,11307,11308,11309,11310,11311,11312,11313,11314,3679,11315,11316,11317,11318,4490, #11216
11319,11320,11321,11322,11323,11324,11325,11326,11327,11328,11329,11330,11331,11332,11333,11334, #11232
11335,11336,11337,11338,11339,11340,11341,11342,11343,11344,11345,11346,11347,4960,11348,11349, #11248
11350,11351,11352,11353,11354,11355,11356,11357,11358,11359,11360,11361,11362,11363,11364,11365, #11264
11366,11367,11368,11369,11370,11371,11372,11373,11374,11375,11376,11377,3961,4961,11378,11379, #11280
11380,11381,11382,11383,11384,11385,11386,11387,11388,11389,11390,11391,11392,11393,11394,11395, #11296
11396,11397,4192,11398,11399,11400,11401,11402,11403,11404,11405,11406,11407,11408,11409,11410, #11312
11411,4962,11412,11413,11414,11415,11416,11417,11418,11419,11420,11421,11422,11423,11424,11425, #11328
11426,11427,11428,11429,11430,11431,11432,11433,11434,11435,11436,11437,11438,11439,11440,11441, #11344
11442,11443,11444,11445,11446,11447,11448,11449,11450,11451,11452,11453,11454,11455,11456,11457, #11360
11458,11459,11460,11461,11462,11463,11464,11465,11466,11467,11468,11469,4963,11470,11471,4491, #11376
11472,11473,11474,11475,4964,11476,11477,11478,11479,11480,11481,11482,11483,11484,11485,11486, #11392
11487,11488,11489,11490,11491,11492,4965,11493,11494,11495,11496,11497,11498,11499,11500,11501, #11408
11502,11503,11504,11505,11506,11507,11508,11509,11510,11511,11512,11513,11514,11515,11516,11517, #11424
11518,11519,11520,11521,11522,11523,11524,11525,11526,11527,11528,11529,3962,11530,11531,11532, #11440
11533,11534,11535,11536,11537,11538,11539,11540,11541,11542,11543,11544,11545,11546,11547,11548, #11456
11549,11550,11551,11552,11553,11554,11555,11556,11557,11558,11559,11560,11561,11562,11563,11564, #11472
4193,4194,11565,11566,11567,11568,11569,11570,11571,11572,11573,11574,11575,11576,11577,11578, #11488
11579,11580,11581,11582,11583,11584,11585,11586,11587,11588,11589,11590,11591,4966,4195,11592, #11504
11593,11594,11595,11596,11597,11598,11599,11600,11601,11602,11603,11604,3090,11605,11606,11607, #11520
11608,11609,11610,4967,11611,11612,11613,11614,11615,11616,11617,11618,11619,11620,11621,11622, #11536
11623,11624,11625,11626,11627,11628,11629,11630,11631,11632,11633,11634,11635,11636,11637,11638, #11552
11639,11640,11641,11642,11643,11644,11645,11646,11647,11648,11649,11650,11651,11652,11653,11654, #11568
11655,11656,11657,11658,11659,11660,11661,11662,11663,11664,11665,11666,11667,11668,11669,11670, #11584
11671,11672,11673,11674,4968,11675,11676,11677,11678,11679,11680,11681,11682,11683,11684,11685, #11600
11686,11687,11688,11689,11690,11691,11692,11693,3809,11694,11695,11696,11697,11698,11699,11700, #11616
11701,11702,11703,11704,11705,11706,11707,11708,11709,11710,11711,11712,11713,11714,11715,11716, #11632
11717,11718,3553,11719,11720,11721,11722,11723,11724,11725,11726,11727,11728,11729,11730,4969, #11648
11731,11732,11733,11734,11735,11736,11737,11738,11739,11740,4492,11741,11742,11743,11744,11745, #11664
11746,11747,11748,11749,11750,11751,11752,4970,11753,11754,11755,11756,11757,11758,11759,11760, #11680
11761,11762,11763,11764,11765,11766,11767,11768,11769,11770,11771,11772,11773,11774,11775,11776, #11696
11777,11778,11779,11780,11781,11782,11783,11784,11785,11786,11787,11788,11789,11790,4971,11791, #11712
11792,11793,11794,11795,11796,11797,4972,11798,11799,11800,11801,11802,11803,11804,11805,11806, #11728
11807,11808,11809,11810,4973,11811,11812,11813,11814,11815,11816,11817,11818,11819,11820,11821, #11744
11822,11823,11824,11825,11826,11827,11828,11829,11830,11831,11832,11833,11834,3680,3810,11835, #11760
11836,4974,11837,11838,11839,11840,11841,11842,11843,11844,11845,11846,11847,11848,11849,11850, #11776
11851,11852,11853,11854,11855,11856,11857,11858,11859,11860,11861,11862,11863,11864,11865,11866, #11792
11867,11868,11869,11870,11871,11872,11873,11874,11875,11876,11877,11878,11879,11880,11881,11882, #11808
11883,11884,4493,11885,11886,11887,11888,11889,11890,11891,11892,11893,11894,11895,11896,11897, #11824
11898,11899,11900,11901,11902,11903,11904,11905,11906,11907,11908,11909,11910,11911,11912,11913, #11840
11914,11915,4975,11916,11917,11918,11919,11920,11921,11922,11923,11924,11925,11926,11927,11928, #11856
11929,11930,11931,11932,11933,11934,11935,11936,11937,11938,11939,11940,11941,11942,11943,11944, #11872
11945,11946,11947,11948,11949,4976,11950,11951,11952,11953,11954,11955,11956,11957,11958,11959, #11888
11960,11961,11962,11963,11964,11965,11966,11967,11968,11969,11970,11971,11972,11973,11974,11975, #11904
11976,11977,11978,11979,11980,11981,11982,11983,11984,11985,11986,11987,4196,11988,11989,11990, #11920
11991,11992,4977,11993,11994,11995,11996,11997,11998,11999,12000,12001,12002,12003,12004,12005, #11936
12006,12007,12008,12009,12010,12011,12012,12013,12014,12015,12016,12017,12018,12019,12020,12021, #11952
12022,12023,12024,12025,12026,12027,12028,12029,12030,12031,12032,12033,12034,12035,12036,12037, #11968
12038,12039,12040,12041,12042,12043,12044,12045,12046,12047,12048,12049,12050,12051,12052,12053, #11984
12054,12055,12056,12057,12058,12059,12060,12061,4978,12062,12063,12064,12065,12066,12067,12068, #12000
12069,12070,12071,12072,12073,12074,12075,12076,12077,12078,12079,12080,12081,12082,12083,12084, #12016
12085,12086,12087,12088,12089,12090,12091,12092,12093,12094,12095,12096,12097,12098,12099,12100, #12032
12101,12102,12103,12104,12105,12106,12107,12108,12109,12110,12111,12112,12113,12114,12115,12116, #12048
12117,12118,12119,12120,12121,12122,12123,4979,12124,12125,12126,12127,12128,4197,12129,12130, #12064
12131,12132,12133,12134,12135,12136,12137,12138,12139,12140,12141,12142,12143,12144,12145,12146, #12080
12147,12148,12149,12150,12151,12152,12153,12154,4980,12155,12156,12157,12158,12159,12160,4494, #12096
12161,12162,12163,12164,3811,12165,12166,12167,12168,12169,4495,12170,12171,4496,12172,12173, #12112
12174,12175,12176,3812,12177,12178,12179,12180,12181,12182,12183,12184,12185,12186,12187,12188, #12128
12189,12190,12191,12192,12193,12194,12195,12196,12197,12198,12199,12200,12201,12202,12203,12204, #12144
12205,12206,12207,12208,12209,12210,12211,12212,12213,12214,12215,12216,12217,12218,12219,12220, #12160
12221,4981,12222,12223,12224,12225,12226,12227,12228,12229,12230,12231,12232,12233,12234,12235, #12176
4982,12236,12237,12238,12239,12240,12241,12242,12243,12244,12245,4983,12246,12247,12248,12249, #12192
4984,12250,12251,12252,12253,12254,12255,12256,12257,12258,12259,12260,12261,12262,12263,12264, #12208
4985,12265,4497,12266,12267,12268,12269,12270,12271,12272,12273,12274,12275,12276,12277,12278, #12224
12279,12280,12281,12282,12283,12284,12285,12286,12287,4986,12288,12289,12290,12291,12292,12293, #12240
12294,12295,12296,2473,12297,12298,12299,12300,12301,12302,12303,12304,12305,12306,12307,12308, #12256
12309,12310,12311,12312,12313,12314,12315,12316,12317,12318,12319,3963,12320,12321,12322,12323, #12272
12324,12325,12326,12327,12328,12329,12330,12331,12332,4987,12333,12334,12335,12336,12337,12338, #12288
12339,12340,12341,12342,12343,12344,12345,12346,12347,12348,12349,12350,12351,12352,12353,12354, #12304
12355,12356,12357,12358,12359,3964,12360,12361,12362,12363,12364,12365,12366,12367,12368,12369, #12320
12370,3965,12371,12372,12373,12374,12375,12376,12377,12378,12379,12380,12381,12382,12383,12384, #12336
12385,12386,12387,12388,12389,12390,12391,12392,12393,12394,12395,12396,12397,12398,12399,12400, #12352
12401,12402,12403,12404,12405,12406,12407,12408,4988,12409,12410,12411,12412,12413,12414,12415, #12368
12416,12417,12418,12419,12420,12421,12422,12423,12424,12425,12426,12427,12428,12429,12430,12431, #12384
12432,12433,12434,12435,12436,12437,12438,3554,12439,12440,12441,12442,12443,12444,12445,12446, #12400
12447,12448,12449,12450,12451,12452,12453,12454,12455,12456,12457,12458,12459,12460,12461,12462, #12416
12463,12464,4989,12465,12466,12467,12468,12469,12470,12471,12472,12473,12474,12475,12476,12477, #12432
12478,12479,12480,4990,12481,12482,12483,12484,12485,12486,12487,12488,12489,4498,12490,12491, #12448
12492,12493,12494,12495,12496,12497,12498,12499,12500,12501,12502,12503,12504,12505,12506,12507, #12464
12508,12509,12510,12511,12512,12513,12514,12515,12516,12517,12518,12519,12520,12521,12522,12523, #12480
12524,12525,12526,12527,12528,12529,12530,12531,12532,12533,12534,12535,12536,12537,12538,12539, #12496
12540,12541,12542,12543,12544,12545,12546,12547,12548,12549,12550,12551,4991,12552,12553,12554, #12512
12555,12556,12557,12558,12559,12560,12561,12562,12563,12564,12565,12566,12567,12568,12569,12570, #12528
12571,12572,12573,12574,12575,12576,12577,12578,3036,12579,12580,12581,12582,12583,3966,12584, #12544
12585,12586,12587,12588,12589,12590,12591,12592,12593,12594,12595,12596,12597,12598,12599,12600, #12560
12601,12602,12603,12604,12605,12606,12607,12608,12609,12610,12611,12612,12613,12614,12615,12616, #12576
12617,12618,12619,12620,12621,12622,12623,12624,12625,12626,12627,12628,12629,12630,12631,12632, #12592
12633,12634,12635,12636,12637,12638,12639,12640,12641,12642,12643,12644,12645,12646,4499,12647, #12608
12648,12649,12650,12651,12652,12653,12654,12655,12656,12657,12658,12659,12660,12661,12662,12663, #12624
12664,12665,12666,12667,12668,12669,12670,12671,12672,12673,12674,12675,12676,12677,12678,12679, #12640
12680,12681,12682,12683,12684,12685,12686,12687,12688,12689,12690,12691,12692,12693,12694,12695, #12656
12696,12697,12698,4992,12699,12700,12701,12702,12703,12704,12705,12706,12707,12708,12709,12710, #12672
12711,12712,12713,12714,12715,12716,12717,12718,12719,12720,12721,12722,12723,12724,12725,12726, #12688
12727,12728,12729,12730,12731,12732,12733,12734,12735,12736,12737,12738,12739,12740,12741,12742, #12704
12743,12744,12745,12746,12747,12748,12749,12750,12751,12752,12753,12754,12755,12756,12757,12758, #12720
12759,12760,12761,12762,12763,12764,12765,12766,12767,12768,12769,12770,12771,12772,12773,12774, #12736
12775,12776,12777,12778,4993,2175,12779,12780,12781,12782,12783,12784,12785,12786,4500,12787, #12752
12788,12789,12790,12791,12792,12793,12794,12795,12796,12797,12798,12799,12800,12801,12802,12803, #12768
12804,12805,12806,12807,12808,12809,12810,12811,12812,12813,12814,12815,12816,12817,12818,12819, #12784
12820,12821,12822,12823,12824,12825,12826,4198,3967,12827,12828,12829,12830,12831,12832,12833, #12800
12834,12835,12836,12837,12838,12839,12840,12841,12842,12843,12844,12845,12846,12847,12848,12849, #12816
12850,12851,12852,12853,12854,12855,12856,12857,12858,12859,12860,12861,4199,12862,12863,12864, #12832
12865,12866,12867,12868,12869,12870,12871,12872,12873,12874,12875,12876,12877,12878,12879,12880, #12848
12881,12882,12883,12884,12885,12886,12887,4501,12888,12889,12890,12891,12892,12893,12894,12895, #12864
12896,12897,12898,12899,12900,12901,12902,12903,12904,12905,12906,12907,12908,12909,12910,12911, #12880
12912,4994,12913,12914,12915,12916,12917,12918,12919,12920,12921,12922,12923,12924,12925,12926, #12896
12927,12928,12929,12930,12931,12932,12933,12934,12935,12936,12937,12938,12939,12940,12941,12942, #12912
12943,12944,12945,12946,12947,12948,12949,12950,12951,12952,12953,12954,12955,12956,1772,12957, #12928
12958,12959,12960,12961,12962,12963,12964,12965,12966,12967,12968,12969,12970,12971,12972,12973, #12944
12974,12975,12976,12977,12978,12979,12980,12981,12982,12983,12984,12985,12986,12987,12988,12989, #12960
12990,12991,12992,12993,12994,12995,12996,12997,4502,12998,4503,12999,13000,13001,13002,13003, #12976
4504,13004,13005,13006,13007,13008,13009,13010,13011,13012,13013,13014,13015,13016,13017,13018, #12992
13019,13020,13021,13022,13023,13024,13025,13026,13027,13028,13029,3449,13030,13031,13032,13033, #13008
13034,13035,13036,13037,13038,13039,13040,13041,13042,13043,13044,13045,13046,13047,13048,13049, #13024
13050,13051,13052,13053,13054,13055,13056,13057,13058,13059,13060,13061,13062,13063,13064,13065, #13040
13066,13067,13068,13069,13070,13071,13072,13073,13074,13075,13076,13077,13078,13079,13080,13081, #13056
13082,13083,13084,13085,13086,13087,13088,13089,13090,13091,13092,13093,13094,13095,13096,13097, #13072
13098,13099,13100,13101,13102,13103,13104,13105,13106,13107,13108,13109,13110,13111,13112,13113, #13088
13114,13115,13116,13117,13118,3968,13119,4995,13120,13121,13122,13123,13124,13125,13126,13127, #13104
4505,13128,13129,13130,13131,13132,13133,13134,4996,4506,13135,13136,13137,13138,13139,4997, #13120
13140,13141,13142,13143,13144,13145,13146,13147,13148,13149,13150,13151,13152,13153,13154,13155, #13136
13156,13157,13158,13159,4998,13160,13161,13162,13163,13164,13165,13166,13167,13168,13169,13170, #13152
13171,13172,13173,13174,13175,13176,4999,13177,13178,13179,13180,13181,13182,13183,13184,13185, #13168
13186,13187,13188,13189,13190,13191,13192,13193,13194,13195,13196,13197,13198,13199,13200,13201, #13184
13202,13203,13204,13205,13206,5000,13207,13208,13209,13210,13211,13212,13213,13214,13215,13216, #13200
13217,13218,13219,13220,13221,13222,13223,13224,13225,13226,13227,4200,5001,13228,13229,13230, #13216
13231,13232,13233,13234,13235,13236,13237,13238,13239,13240,3969,13241,13242,13243,13244,3970, #13232
13245,13246,13247,13248,13249,13250,13251,13252,13253,13254,13255,13256,13257,13258,13259,13260, #13248
13261,13262,13263,13264,13265,13266,13267,13268,3450,13269,13270,13271,13272,13273,13274,13275, #13264
13276,5002,13277,13278,13279,13280,13281,13282,13283,13284,13285,13286,13287,13288,13289,13290, #13280
13291,13292,13293,13294,13295,13296,13297,13298,13299,13300,13301,13302,3813,13303,13304,13305, #13296
13306,13307,13308,13309,13310,13311,13312,13313,13314,13315,13316,13317,13318,13319,13320,13321, #13312
13322,13323,13324,13325,13326,13327,13328,4507,13329,13330,13331,13332,13333,13334,13335,13336, #13328
13337,13338,13339,13340,13341,5003,13342,13343,13344,13345,13346,13347,13348,13349,13350,13351, #13344
13352,13353,13354,13355,13356,13357,13358,13359,13360,13361,13362,13363,13364,13365,13366,13367, #13360
5004,13368,13369,13370,13371,13372,13373,13374,13375,13376,13377,13378,13379,13380,13381,13382, #13376
13383,13384,13385,13386,13387,13388,13389,13390,13391,13392,13393,13394,13395,13396,13397,13398, #13392
13399,13400,13401,13402,13403,13404,13405,13406,13407,13408,13409,13410,13411,13412,13413,13414, #13408
13415,13416,13417,13418,13419,13420,13421,13422,13423,13424,13425,13426,13427,13428,13429,13430, #13424
13431,13432,4508,13433,13434,13435,4201,13436,13437,13438,13439,13440,13441,13442,13443,13444, #13440
13445,13446,13447,13448,13449,13450,13451,13452,13453,13454,13455,13456,13457,5005,13458,13459, #13456
13460,13461,13462,13463,13464,13465,13466,13467,13468,13469,13470,4509,13471,13472,13473,13474, #13472
13475,13476,13477,13478,13479,13480,13481,13482,13483,13484,13485,13486,13487,13488,13489,13490, #13488
13491,13492,13493,13494,13495,13496,13497,13498,13499,13500,13501,13502,13503,13504,13505,13506, #13504
13507,13508,13509,13510,13511,13512,13513,13514,13515,13516,13517,13518,13519,13520,13521,13522, #13520
13523,13524,13525,13526,13527,13528,13529,13530,13531,13532,13533,13534,13535,13536,13537,13538, #13536
13539,13540,13541,13542,13543,13544,13545,13546,13547,13548,13549,13550,13551,13552,13553,13554, #13552
13555,13556,13557,13558,13559,13560,13561,13562,13563,13564,13565,13566,13567,13568,13569,13570, #13568
13571,13572,13573,13574,13575,13576,13577,13578,13579,13580,13581,13582,13583,13584,13585,13586, #13584
13587,13588,13589,13590,13591,13592,13593,13594,13595,13596,13597,13598,13599,13600,13601,13602, #13600
13603,13604,13605,13606,13607,13608,13609,13610,13611,13612,13613,13614,13615,13616,13617,13618, #13616
13619,13620,13621,13622,13623,13624,13625,13626,13627,13628,13629,13630,13631,13632,13633,13634, #13632
13635,13636,13637,13638,13639,13640,13641,13642,5006,13643,13644,13645,13646,13647,13648,13649, #13648
13650,13651,5007,13652,13653,13654,13655,13656,13657,13658,13659,13660,13661,13662,13663,13664, #13664
13665,13666,13667,13668,13669,13670,13671,13672,13673,13674,13675,13676,13677,13678,13679,13680, #13680
13681,13682,13683,13684,13685,13686,13687,13688,13689,13690,13691,13692,13693,13694,13695,13696, #13696
13697,13698,13699,13700,13701,13702,13703,13704,13705,13706,13707,13708,13709,13710,13711,13712, #13712
13713,13714,13715,13716,13717,13718,13719,13720,13721,13722,13723,13724,13725,13726,13727,13728, #13728
13729,13730,13731,13732,13733,13734,13735,13736,13737,13738,13739,13740,13741,13742,13743,13744, #13744
13745,13746,13747,13748,13749,13750,13751,13752,13753,13754,13755,13756,13757,13758,13759,13760, #13760
13761,13762,13763,13764,13765,13766,13767,13768,13769,13770,13771,13772,13773,13774,3273,13775, #13776
13776,13777,13778,13779,13780,13781,13782,13783,13784,13785,13786,13787,13788,13789,13790,13791, #13792
13792,13793,13794,13795,13796,13797,13798,13799,13800,13801,13802,13803,13804,13805,13806,13807, #13808
13808,13809,13810,13811,13812,13813,13814,13815,13816,13817,13818,13819,13820,13821,13822,13823, #13824
13824,13825,13826,13827,13828,13829,13830,13831,13832,13833,13834,13835,13836,13837,13838,13839, #13840
13840,13841,13842,13843,13844,13845,13846,13847,13848,13849,13850,13851,13852,13853,13854,13855, #13856
13856,13857,13858,13859,13860,13861,13862,13863,13864,13865,13866,13867,13868,13869,13870,13871, #13872
13872,13873,13874,13875,13876,13877,13878,13879,13880,13881,13882,13883,13884,13885,13886,13887, #13888
13888,13889,13890,13891,13892,13893,13894,13895,13896,13897,13898,13899,13900,13901,13902,13903, #13904
13904,13905,13906,13907,13908,13909,13910,13911,13912,13913,13914,13915,13916,13917,13918,13919, #13920
13920,13921,13922,13923,13924,13925,13926,13927,13928,13929,13930,13931,13932,13933,13934,13935, #13936
13936,13937,13938,13939,13940,13941,13942,13943,13944,13945,13946,13947,13948,13949,13950,13951, #13952
13952,13953,13954,13955,13956,13957,13958,13959,13960,13961,13962,13963,13964,13965,13966,13967, #13968
13968,13969,13970,13971,13972) #13973
# flake8: noqa
| bsd-3-clause |
clagiordano/projectDeploy | modules/utils.py | 1 | 1458 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import subprocess
import shlex
import socket
import modules.outputUtils as out
def getSessionInfo():
info = {}
output = subprocess.Popen(["who", "am", "i"], stdout=subprocess.PIPE).communicate()
output = output[0].strip().split(' ')
info['username'] = os.getlogin()
info['ipaddress'] = output[-1][1:-1]
info['hostname'] = socket.gethostname()
if info['ipaddress'] != ":0":
try:
info['hostname'] = socket.gethostbyaddr(info['ipaddress'])
except:
try:
info['hostname'] = getNetbiosHostname(info['ipaddress'])
except:
info['hostname'] = info['ipaddress']
return info
def getNetbiosHostname(ipaddress):
output = runShellCommand("nmblookup -A " + ipaddress, False)
hostname = output[0].split('\n')[1].split(' ')[0].strip()
if hostname == 'No':
hostname = output[0]
return hostname
def runShellCommand(command, shell=True):
try:
p = subprocess.Popen( \
shlex.split(command), \
shell=shell, \
stdin=subprocess.PIPE, \
stdout=subprocess.PIPE, \
stderr=subprocess.PIPE)
command_output, command_error = p.communicate()
exit_status = p.returncode
except:
out.fatalError("Failed to execute command " + command)
return command_output, exit_status, command_error
| lgpl-3.0 |
mkuron/espresso | testsuite/python/dpd.py | 1 | 15785 | #
# Copyright (C) 2013-2018 The ESPResSo project
#
# This file is part of ESPResSo.
#
# ESPResSo is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# ESPResSo is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
import numpy as np
import unittest as ut
import unittest_decorators as utx
from itertools import product
import espressomd
from espressomd.observables import DPDStress
from tests_common import single_component_maxwell
@utx.skipIfMissingFeatures("DPD")
class DPDThermostat(ut.TestCase):
"""Tests the velocity distribution created by the dpd thermostat against
the single component Maxwell distribution."""
s = espressomd.System(box_l=3*[10.0])
s.time_step = 0.01
s.cell_system.skin = 0.4
def setUp(self):
self.s.seed = range(self.s.cell_system.get_state()["n_nodes"])
np.random.seed(16)
def tearDown(self):
s = self.s
s.part.clear()
def check_velocity_distribution(self, vel, minmax, n_bins, error_tol, kT):
"""check the recorded particle distributions in velocity against a
histogram with n_bins bins. Drop velocities outside minmax. Check
individual histogram bins up to an accuracy of error_tol against
the analytical result for kT."""
for i in range(3):
hist = np.histogram(vel[:, i], range=(-minmax, minmax), bins=n_bins, density=False)
data = hist[0]/float(vel.shape[0])
bins = hist[1]
for j in range(n_bins):
found = data[j]
expected = single_component_maxwell(bins[j], bins[j+1], kT)
self.assertLessEqual(abs(found - expected), error_tol)
def test_aa_verify_single_component_maxwell(self):
"""Verifies the normalization of the analytical expression."""
self.assertLessEqual(
abs(single_component_maxwell(-10, 10, 4.)-1.), 1E-4)
def check_total_zero(self):
v_total = np.sum(self.s.part[:].v, axis=0)
self.assertTrue(v_total[0] < 1e-11)
self.assertTrue(v_total[1] < 1e-11)
self.assertTrue(v_total[2] < 1e-11)
def test_single(self):
"""Test velocity distribution of a dpd fluid with a single type."""
N = 200
s = self.s
s.part.add(pos=s.box_l * np.random.random((N, 3)))
kT = 2.3
gamma = 1.5
s.thermostat.set_dpd(kT=kT, seed=42)
s.non_bonded_inter[0, 0].dpd.set_params(
weight_function=0, gamma=gamma, r_cut=1.5,
trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.5)
s.integrator.run(100)
loops = 250
v_stored = np.zeros((N*loops, 3))
for i in range(loops):
s.integrator.run(10)
v_stored[i*N:(i+1)*N,:] = s.part[:].v
v_minmax = 5
bins = 5
error_tol = 0.01
self.check_velocity_distribution(
v_stored, v_minmax, bins, error_tol, kT)
self.check_total_zero()
def test_binary(self):
"""Test velocity distribution of binary dpd fluid"""
N = 200
s = self.s
s.part.add(pos=s.box_l * np.random.random((N // 2, 3)), type=N//2*[0])
s.part.add(pos=s.box_l * np.random.random((N // 2, 3)), type=N//2*[1])
kT = 2.3
gamma = 1.5
s.thermostat.set_dpd(kT=kT, seed=42)
s.non_bonded_inter[0, 0].dpd.set_params(
weight_function=0, gamma=gamma, r_cut=1.0,
trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.0)
s.non_bonded_inter[1, 1].dpd.set_params(
weight_function=0, gamma=gamma, r_cut=1.0,
trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.0)
s.non_bonded_inter[0, 1].dpd.set_params(
weight_function=0, gamma=gamma, r_cut=1.5,
trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.5)
s.integrator.run(100)
loops = 400
v_stored = np.zeros((N*loops, 3))
for i in range(loops):
s.integrator.run(10)
v_stored[i*N:(i+1)*N,:] = s.part[:].v
v_minmax = 5
bins = 5
error_tol = 0.01
self.check_velocity_distribution(
v_stored, v_minmax, bins, error_tol, kT)
self.check_total_zero()
def test_disable(self):
N = 200
s = self.s
s.time_step = 0.01
s.part.add(pos=s.box_l * np.random.random((N, 3)))
kT = 2.3
gamma = 1.5
s.thermostat.set_dpd(kT=kT, seed=42)
s.non_bonded_inter[0, 0].dpd.set_params(
weight_function=0, gamma=gamma, r_cut=1.5,
trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.5)
s.integrator.run(10)
s.thermostat.turn_off()
# Reset velocities
s.part[:].v = [1., 2., 3.]
s.integrator.run(10)
# Check that there was neither noise nor friction
for v in s.part[:].v:
for i in range(3):
self.assertTrue(v[i] == float(i + 1))
# Turn back on
s.thermostat.set_dpd(kT=kT, seed=42)
# Reset velocities for faster convergence
s.part[:].v = [0., 0., 0.]
# Equilibrate
s.integrator.run(250)
loops = 250
v_stored = np.zeros((N*loops, 3))
for i in range(loops):
s.integrator.run(10)
v_stored[i*N:(i+1)*N,:] = s.part[:].v
v_minmax = 5
bins = 5
error_tol = 0.012
self.check_velocity_distribution(
v_stored, v_minmax, bins, error_tol, kT)
def test_const_weight_function(self):
s = self.s
kT = 0.
gamma = 1.42
s.thermostat.set_dpd(kT=kT, seed=42)
s.non_bonded_inter[0, 0].dpd.set_params(
weight_function=0, gamma=gamma, r_cut=1.2,
trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.4)
s.part.add(id=0, pos=[5, 5, 5], type= 0, v=[0, 0, 0])
v = [.5, .8, .3]
s.part.add(id=1, pos=[3, 5, 5], type= 0, v = v)
s.integrator.run(0)
# Outside of both cutoffs, forces should be 0
for f in s.part[:].f:
self.assertTrue(f[0] == 0.)
self.assertTrue(f[1] == 0.)
self.assertTrue(f[2] == 0.)
# Only trans
s.part[1].pos = [5. - 1.3, 5, 5]
s.integrator.run(0)
# Only trans, so x component should be zero
self.assertLess(abs(s.part[0].f[0]), 1e-16)
# f = gamma * v_ij
self.assertTrue(abs(s.part[0].f[1] - gamma * v[1]) < 1e-11)
self.assertTrue(abs(s.part[0].f[2] - gamma * v[2]) < 1e-11)
# Momentum conservation
self.assertLess(abs(s.part[1].f[0]), 1e-16)
self.assertTrue(abs(s.part[1].f[1] + gamma * v[1]) < 1e-11)
self.assertTrue(abs(s.part[1].f[2] + gamma * v[2]) < 1e-11)
# Trans and parallel
s.part[1].pos = [5. - 1.1, 5, 5]
s.integrator.run(0)
self.assertTrue(abs(s.part[0].f[0] - gamma * v[0]) < 1e-11)
self.assertTrue(abs(s.part[0].f[1] - gamma * v[1]) < 1e-11)
self.assertTrue(abs(s.part[0].f[2] - gamma * v[2]) < 1e-11)
self.assertTrue(abs(s.part[1].f[0] + gamma * v[0]) < 1e-11)
self.assertTrue(abs(s.part[1].f[1] + gamma * v[1]) < 1e-11)
self.assertTrue(abs(s.part[1].f[2] + gamma * v[2]) < 1e-11)
def test_linear_weight_function(self):
s = self.s
kT = 0.
gamma = 1.42
s.thermostat.set_dpd(kT=kT, seed=42)
s.non_bonded_inter[0, 0].dpd.set_params(
weight_function=1, gamma=gamma, r_cut=1.2,
trans_weight_function=1, trans_gamma=gamma, trans_r_cut=1.4)
def omega(dist, r_cut):
return (1. - dist / r_cut)
s.part.add(id=0, pos=[5, 5, 5], type= 0, v=[0, 0, 0])
v = [.5, .8, .3]
s.part.add(id=1, pos=[3, 5, 5], type= 0, v = v)
s.integrator.run(0)
# Outside of both cutoffs, forces should be 0
for f in s.part[:].f:
self.assertTrue(f[0] == 0.)
self.assertTrue(f[1] == 0.)
self.assertTrue(f[2] == 0.)
# Only trans
s.part[1].pos = [5. - 1.3, 5, 5]
s.integrator.run(0)
# Only trans, so x component should be zero
self.assertLess(abs(s.part[0].f[0]), 1e-16)
# f = gamma * v_ij
self.assertTrue(
abs(s.part[0].f[1] - omega(1.3, 1.4)**2*gamma*v[1]) < 1e-11)
self.assertTrue(
abs(s.part[0].f[2] - omega(1.3, 1.4)**2*gamma*v[2]) < 1e-11)
# Momentum conservation
self.assertLess(abs(s.part[1].f[0]), 1e-16)
self.assertTrue(
abs(s.part[1].f[1] + omega(1.3, 1.4)**2*gamma*v[1]) < 1e-11)
self.assertTrue(
abs(s.part[1].f[2] + omega(1.3, 1.4)**2*gamma*v[2]) < 1e-11)
# Trans and parallel
s.part[1].pos = [5. - 1.1, 5, 5]
s.integrator.run(0)
self.assertTrue(
abs(s.part[0].f[0] - omega(1.1, 1.2)**2*gamma*v[0]) < 1e-11)
self.assertTrue(
abs(s.part[0].f[1] - omega(1.1, 1.4)**2*gamma*v[1]) < 1e-11)
self.assertTrue(
abs(s.part[0].f[2] - omega(1.1, 1.4)**2*gamma*v[2]) < 1e-11)
self.assertTrue(
abs(s.part[1].f[0] + omega(1.1, 1.2)**2*gamma*v[0]) < 1e-11)
self.assertTrue(
abs(s.part[1].f[1] + omega(1.1, 1.4)**2*gamma*v[1]) < 1e-11)
self.assertTrue(
abs(s.part[1].f[2] + omega(1.1, 1.4)**2*gamma*v[2]) < 1e-11)
# Trans and parallel 2nd point
s.part[1].pos = [5. - 0.5, 5, 5]
s.integrator.run(0)
self.assertTrue(
abs(s.part[0].f[0] - omega(0.5, 1.2)**2*gamma*v[0]) < 1e-11)
self.assertTrue(
abs(s.part[0].f[1] - omega(0.5, 1.4)**2*gamma*v[1]) < 1e-11)
self.assertTrue(
abs(s.part[0].f[2] - omega(0.5, 1.4)**2*gamma*v[2]) < 1e-11)
self.assertTrue(
abs(s.part[1].f[0] + omega(0.5, 1.2)**2*gamma*v[0]) < 1e-11)
self.assertTrue(
abs(s.part[1].f[1] + omega(0.5, 1.4)**2*gamma*v[1]) < 1e-11)
self.assertTrue(
abs(s.part[1].f[2] + omega(0.5, 1.4)**2*gamma*v[2]) < 1e-11)
def test_ghosts_have_v(self):
s = self.s
r_cut = 1.5
dx = 0.25 * r_cut
def f(i):
if i == 0:
return dx
return 10. - dx
# Put a particle in every corner
for ind in product([0, 1], [0, 1], [0, 1]):
pos = [f(x) for x in ind]
v = ind
s.part.add(pos=pos, v=v)
gamma = 1.0
s.thermostat.set_dpd(kT=0.0, seed=42)
s.non_bonded_inter[0, 0].dpd.set_params(
weight_function=0, gamma=gamma, r_cut=r_cut,
trans_weight_function=0, trans_gamma=gamma, trans_r_cut=r_cut)
s.integrator.run(0)
id = 0
for ind in product([0, 1], [0, 1], [0, 1]):
for i in ind:
if ind[i] == 0:
sgn = 1
else:
sgn = -1
self.assertAlmostEqual(sgn * 4.0, s.part[id].f[i])
id += 1
def test_constraint(self):
import espressomd.shapes
s = self.s
s.constraints.add(shape=espressomd.shapes.Wall(
dist=0, normal=[1, 0, 0]), particle_type=0, particle_velocity=[1, 2, 3])
s.thermostat.set_dpd(kT=0.0, seed=42)
s.non_bonded_inter[0, 0].dpd.set_params(
weight_function=0, gamma=1., r_cut=1.0,
trans_weight_function=0, trans_gamma=1., trans_r_cut=1.0)
p = s.part.add(pos=[0.5, 0, 0], type=0, v=[0, 0, 0])
s.integrator.run(0)
self.assertAlmostEqual(p.f[0], 1.)
self.assertAlmostEqual(p.f[1], 2.)
self.assertAlmostEqual(p.f[2], 3.)
for c in s.constraints:
s.constraints.remove(c)
def test_dpd_stress(self):
def calc_omega(dist):
return (1./dist - 1./r_cut) ** 2.0
def diss_force_1(dist, vel_diff):
f = np.zeros(3)
vel12dotd12 = 0.
dist_norm = np.linalg.norm(dist)
for d in range(3):
vel12dotd12 += vel_diff[d] * dist[d]
friction = gamma * calc_omega(dist_norm) * vel12dotd12
for d in range(3):
f[d] -= (dist[d] * friction)
return f
def diss_force_2(dist, vel_diff):
dist_norm = np.linalg.norm(dist)
mat = np.identity(3) * (dist_norm**2.0)
f = np.zeros(3)
for d1 in range(3):
for d2 in range(3):
mat[d1, d2] -= dist[d1] * dist[d2]
for d1 in range(3):
for d2 in range(3):
f[d1] += mat[d1, d2] * vel_diff[d2]
f[d1] *= - 1.0 * gamma/2.0 * calc_omega(dist_norm)
return f
def calc_stress(dist, vel_diff):
force_pair = diss_force_1(dist, vel_diff) +\
diss_force_2(dist, vel_diff)
stress_pair = np.outer(dist, force_pair)
return stress_pair
n_part = 1000
r_cut = 1.0
gamma = 5.
r_cut = 1.0
s = self.s
s.part.clear()
s.non_bonded_inter[0, 0].dpd.set_params(
weight_function=1, gamma=gamma, r_cut=r_cut,
trans_weight_function=1, trans_gamma=gamma/2.0, trans_r_cut=r_cut)
pos = s.box_l * np.random.random((n_part, 3))
s.part.add(pos=pos)
s.integrator.run(10)
s.thermostat.set_dpd(kT=0.0)
s.integrator.run(steps=0, recalc_forces=True)
pairs = s.part.pairs()
stress = np.zeros([3, 3])
for pair in pairs:
dist = s.distance_vec(pair[0], pair[1])
if np.linalg.norm(dist) < r_cut:
vel_diff = pair[1].v - pair[0].v
stress += calc_stress(dist, vel_diff)
stress /= s.box_l[0] ** 3.0
dpd_stress = s.analysis.dpd_stress()
dpd_obs = DPDStress()
obs_stress = dpd_obs.calculate()
obs_stress = np.array([[obs_stress[0], obs_stress[1], obs_stress[2]],
[obs_stress[3], obs_stress[4], obs_stress[5]],
[obs_stress[6], obs_stress[7], obs_stress[8]]])
np.testing.assert_array_almost_equal(np.copy(dpd_stress), stress)
np.testing.assert_array_almost_equal(np.copy(obs_stress), stress)
def test_momentum_conservation(self):
r_cut = 1.0
gamma = 5.
r_cut = 2.9
s = self.s
s.thermostat.set_dpd(kT=1.3, seed=42)
s.part.clear()
s.part.add(pos=((0, 0, 0), (0.1, 0.1, 0.1), (0.1, 0, 0)), mass=(1, 2, 3))
s.non_bonded_inter[0, 0].dpd.set_params(
weight_function=1, gamma=gamma, r_cut=r_cut,
trans_weight_function=1, trans_gamma=gamma/2.0, trans_r_cut=r_cut)
momentum = np.matmul(s.part[:].v.T, s.part[:].mass)
for i in range(10):
s.integrator.run(25)
np.testing.assert_array_less(np.zeros((3, 3)), np.abs(s.part[:].f))
np.testing.assert_allclose(np.matmul(s.part[:].v.T, s.part[:].mass), momentum, atol=1E-12)
if __name__ == "__main__":
ut.main()
| gpl-3.0 |
m4dcoder/cortex | setup.py | 1 | 1799 | #!/usr/bin/env python2.7
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import sys
from setuptools import setup, find_packages
PKG_ROOT_DIR = os.path.dirname(os.path.realpath(__file__))
PKG_REQ_FILE = '%s/requirements.txt' % PKG_ROOT_DIR
os.chdir(PKG_ROOT_DIR)
def get_version_string():
version = None
sys.path.insert(0, PKG_ROOT_DIR)
from cortex import __version__
version = __version__
sys.path.pop(0)
return version
def get_requirements():
with open(PKG_REQ_FILE) as f:
required = f.read().splitlines()
# Ignore comments in the requirements file
required = [line for line in required if not line.startswith('#')]
return required
setup(
name='cortex',
version=get_version_string(),
packages=find_packages(exclude=[]),
install_requires=get_requirements(),
license='Apache License (2.0)',
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Information Technology',
'Intended Audience :: System Administrators',
'License :: OSI Approved :: Apache Software License',
'Operating System :: POSIX :: Linux',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7'
]
)
| apache-2.0 |
theguardian/CherryStrap | lib/pkg_resources/__init__.py | 2 | 107034 | """
Package resource API
--------------------
A resource is a logical file contained within a package, or a logical
subdirectory thereof. The package resource API expects resource names
to have their path parts separated with ``/``, *not* whatever the local
path separator is. Do not use os.path operations to manipulate resource
names being passed into the API.
The package resource API is designed to work with normal filesystem packages,
.egg files, and unpacked .egg files. It can also work in a limited way with
.zip files and with custom PEP 302 loaders that support the ``get_data()``
method.
"""
from __future__ import absolute_import
import sys
import os
import io
import time
import re
import types
import zipfile
import zipimport
import warnings
import stat
import functools
import pkgutil
import token
import symbol
import operator
import platform
import collections
import plistlib
import email.parser
import tempfile
import textwrap
from pkgutil import get_importer
try:
import _imp
except ImportError:
# Python 3.2 compatibility
import imp as _imp
PY3 = sys.version_info > (3,)
PY2 = not PY3
if PY3:
from urllib.parse import urlparse, urlunparse
if PY2:
from urlparse import urlparse, urlunparse
if PY3:
string_types = str,
else:
string_types = str, eval('unicode')
iteritems = (lambda i: i.items()) if PY3 else lambda i: i.iteritems()
# capture these to bypass sandboxing
from os import utime
try:
from os import mkdir, rename, unlink
WRITE_SUPPORT = True
except ImportError:
# no write support, probably under GAE
WRITE_SUPPORT = False
from os import open as os_open
from os.path import isdir, split
# Avoid try/except due to potential problems with delayed import mechanisms.
if sys.version_info >= (3, 3) and sys.implementation.name == "cpython":
import importlib.machinery as importlib_machinery
else:
importlib_machinery = None
try:
import parser
except ImportError:
pass
try:
import lib.pkg_resources._vendor.packaging.version
import lib.pkg_resources._vendor.packaging.specifiers
from lib.pkg_resources._vendor import packaging
#packaging = lib.pkg_resources._vendor.packaging
except ImportError:
# fallback to naturally-installed version; allows system packagers to
# omit vendored packages.
import pkg_resources.packaging.version
import packaging.specifiers
if (3, 0) < sys.version_info < (3, 3):
msg = (
"Support for Python 3.0-3.2 has been dropped. Future versions "
"will fail here."
)
warnings.warn(msg)
# declare some globals that will be defined later to
# satisfy the linters.
require = None
working_set = None
class PEP440Warning(RuntimeWarning):
"""
Used when there is an issue with a version or specifier not complying with
PEP 440.
"""
class _SetuptoolsVersionMixin(object):
def __hash__(self):
return super(_SetuptoolsVersionMixin, self).__hash__()
def __lt__(self, other):
if isinstance(other, tuple):
return tuple(self) < other
else:
return super(_SetuptoolsVersionMixin, self).__lt__(other)
def __le__(self, other):
if isinstance(other, tuple):
return tuple(self) <= other
else:
return super(_SetuptoolsVersionMixin, self).__le__(other)
def __eq__(self, other):
if isinstance(other, tuple):
return tuple(self) == other
else:
return super(_SetuptoolsVersionMixin, self).__eq__(other)
def __ge__(self, other):
if isinstance(other, tuple):
return tuple(self) >= other
else:
return super(_SetuptoolsVersionMixin, self).__ge__(other)
def __gt__(self, other):
if isinstance(other, tuple):
return tuple(self) > other
else:
return super(_SetuptoolsVersionMixin, self).__gt__(other)
def __ne__(self, other):
if isinstance(other, tuple):
return tuple(self) != other
else:
return super(_SetuptoolsVersionMixin, self).__ne__(other)
def __getitem__(self, key):
return tuple(self)[key]
def __iter__(self):
component_re = re.compile(r'(\d+ | [a-z]+ | \.| -)', re.VERBOSE)
replace = {
'pre': 'c',
'preview': 'c',
'-': 'final-',
'rc': 'c',
'dev': '@',
}.get
def _parse_version_parts(s):
for part in component_re.split(s):
part = replace(part, part)
if not part or part == '.':
continue
if part[:1] in '0123456789':
# pad for numeric comparison
yield part.zfill(8)
else:
yield '*'+part
# ensure that alpha/beta/candidate are before final
yield '*final'
def old_parse_version(s):
parts = []
for part in _parse_version_parts(s.lower()):
if part.startswith('*'):
# remove '-' before a prerelease tag
if part < '*final':
while parts and parts[-1] == '*final-':
parts.pop()
# remove trailing zeros from each series of numeric parts
while parts and parts[-1] == '00000000':
parts.pop()
parts.append(part)
return tuple(parts)
# Warn for use of this function
warnings.warn(
"You have iterated over the result of "
"pkg_resources.parse_version. This is a legacy behavior which is "
"inconsistent with the new version class introduced in setuptools "
"8.0. In most cases, conversion to a tuple is unnecessary. For "
"comparison of versions, sort the Version instances directly. If "
"you have another use case requiring the tuple, please file a "
"bug with the setuptools project describing that need.",
RuntimeWarning,
stacklevel=1,
)
for part in old_parse_version(str(self)):
yield part
class SetuptoolsVersion(_SetuptoolsVersionMixin, packaging.version.Version):
pass
class SetuptoolsLegacyVersion(_SetuptoolsVersionMixin,
packaging.version.LegacyVersion):
pass
def parse_version(v):
try:
return SetuptoolsVersion(v)
except packaging.version.InvalidVersion:
return SetuptoolsLegacyVersion(v)
_state_vars = {}
def _declare_state(vartype, **kw):
globals().update(kw)
_state_vars.update(dict.fromkeys(kw, vartype))
def __getstate__():
state = {}
g = globals()
for k, v in _state_vars.items():
state[k] = g['_sget_'+v](g[k])
return state
def __setstate__(state):
g = globals()
for k, v in state.items():
g['_sset_'+_state_vars[k]](k, g[k], v)
return state
def _sget_dict(val):
return val.copy()
def _sset_dict(key, ob, state):
ob.clear()
ob.update(state)
def _sget_object(val):
return val.__getstate__()
def _sset_object(key, ob, state):
ob.__setstate__(state)
_sget_none = _sset_none = lambda *args: None
def get_supported_platform():
"""Return this platform's maximum compatible version.
distutils.util.get_platform() normally reports the minimum version
of Mac OS X that would be required to *use* extensions produced by
distutils. But what we want when checking compatibility is to know the
version of Mac OS X that we are *running*. To allow usage of packages that
explicitly require a newer version of Mac OS X, we must also know the
current version of the OS.
If this condition occurs for any other platform with a version in its
platform strings, this function should be extended accordingly.
"""
plat = get_build_platform()
m = macosVersionString.match(plat)
if m is not None and sys.platform == "darwin":
try:
plat = 'macosx-%s-%s' % ('.'.join(_macosx_vers()[:2]), m.group(3))
except ValueError:
# not Mac OS X
pass
return plat
__all__ = [
# Basic resource access and distribution/entry point discovery
'require', 'run_script', 'get_provider', 'get_distribution',
'load_entry_point', 'get_entry_map', 'get_entry_info',
'iter_entry_points',
'resource_string', 'resource_stream', 'resource_filename',
'resource_listdir', 'resource_exists', 'resource_isdir',
# Environmental control
'declare_namespace', 'working_set', 'add_activation_listener',
'find_distributions', 'set_extraction_path', 'cleanup_resources',
'get_default_cache',
# Primary implementation classes
'Environment', 'WorkingSet', 'ResourceManager',
'Distribution', 'Requirement', 'EntryPoint',
# Exceptions
'ResolutionError', 'VersionConflict', 'DistributionNotFound',
'UnknownExtra', 'ExtractionError',
# Warnings
'PEP440Warning',
# Parsing functions and string utilities
'parse_requirements', 'parse_version', 'safe_name', 'safe_version',
'get_platform', 'compatible_platforms', 'yield_lines', 'split_sections',
'safe_extra', 'to_filename', 'invalid_marker', 'evaluate_marker',
# filesystem utilities
'ensure_directory', 'normalize_path',
# Distribution "precedence" constants
'EGG_DIST', 'BINARY_DIST', 'SOURCE_DIST', 'CHECKOUT_DIST', 'DEVELOP_DIST',
# "Provider" interfaces, implementations, and registration/lookup APIs
'IMetadataProvider', 'IResourceProvider', 'FileMetadata',
'PathMetadata', 'EggMetadata', 'EmptyProvider', 'empty_provider',
'NullProvider', 'EggProvider', 'DefaultProvider', 'ZipProvider',
'register_finder', 'register_namespace_handler', 'register_loader_type',
'fixup_namespace_packages', 'get_importer',
# Deprecated/backward compatibility only
'run_main', 'AvailableDistributions',
]
class ResolutionError(Exception):
"""Abstract base for dependency resolution errors"""
def __repr__(self):
return self.__class__.__name__+repr(self.args)
class VersionConflict(ResolutionError):
"""
An already-installed version conflicts with the requested version.
Should be initialized with the installed Distribution and the requested
Requirement.
"""
_template = "{self.dist} is installed but {self.req} is required"
@property
def dist(self):
return self.args[0]
@property
def req(self):
return self.args[1]
def report(self):
return self._template.format(**locals())
def with_context(self, required_by):
"""
If required_by is non-empty, return a version of self that is a
ContextualVersionConflict.
"""
if not required_by:
return self
args = self.args + (required_by,)
return ContextualVersionConflict(*args)
class ContextualVersionConflict(VersionConflict):
"""
A VersionConflict that accepts a third parameter, the set of the
requirements that required the installed Distribution.
"""
_template = VersionConflict._template + ' by {self.required_by}'
@property
def required_by(self):
return self.args[2]
class DistributionNotFound(ResolutionError):
"""A requested distribution was not found"""
_template = ("The '{self.req}' distribution was not found "
"and is required by {self.requirers_str}")
@property
def req(self):
return self.args[0]
@property
def requirers(self):
return self.args[1]
@property
def requirers_str(self):
if not self.requirers:
return 'the application'
return ', '.join(self.requirers)
def report(self):
return self._template.format(**locals())
def __str__(self):
return self.report()
class UnknownExtra(ResolutionError):
"""Distribution doesn't have an "extra feature" of the given name"""
_provider_factories = {}
PY_MAJOR = sys.version[:3]
EGG_DIST = 3
BINARY_DIST = 2
SOURCE_DIST = 1
CHECKOUT_DIST = 0
DEVELOP_DIST = -1
def register_loader_type(loader_type, provider_factory):
"""Register `provider_factory` to make providers for `loader_type`
`loader_type` is the type or class of a PEP 302 ``module.__loader__``,
and `provider_factory` is a function that, passed a *module* object,
returns an ``IResourceProvider`` for that module.
"""
_provider_factories[loader_type] = provider_factory
def get_provider(moduleOrReq):
"""Return an IResourceProvider for the named module or requirement"""
if isinstance(moduleOrReq, Requirement):
return working_set.find(moduleOrReq) or require(str(moduleOrReq))[0]
try:
module = sys.modules[moduleOrReq]
except KeyError:
__import__(moduleOrReq)
module = sys.modules[moduleOrReq]
loader = getattr(module, '__loader__', None)
return _find_adapter(_provider_factories, loader)(module)
def _macosx_vers(_cache=[]):
if not _cache:
version = platform.mac_ver()[0]
# fallback for MacPorts
if version == '':
plist = '/System/Library/CoreServices/SystemVersion.plist'
if os.path.exists(plist):
if hasattr(plistlib, 'readPlist'):
plist_content = plistlib.readPlist(plist)
if 'ProductVersion' in plist_content:
version = plist_content['ProductVersion']
_cache.append(version.split('.'))
return _cache[0]
def _macosx_arch(machine):
return {'PowerPC': 'ppc', 'Power_Macintosh': 'ppc'}.get(machine, machine)
def get_build_platform():
"""Return this platform's string for platform-specific distributions
XXX Currently this is the same as ``distutils.util.get_platform()``, but it
needs some hacks for Linux and Mac OS X.
"""
try:
# Python 2.7 or >=3.2
from sysconfig import get_platform
except ImportError:
from distutils.util import get_platform
plat = get_platform()
if sys.platform == "darwin" and not plat.startswith('macosx-'):
try:
version = _macosx_vers()
machine = os.uname()[4].replace(" ", "_")
return "macosx-%d.%d-%s" % (int(version[0]), int(version[1]),
_macosx_arch(machine))
except ValueError:
# if someone is running a non-Mac darwin system, this will fall
# through to the default implementation
pass
return plat
macosVersionString = re.compile(r"macosx-(\d+)\.(\d+)-(.*)")
darwinVersionString = re.compile(r"darwin-(\d+)\.(\d+)\.(\d+)-(.*)")
# XXX backward compat
get_platform = get_build_platform
def compatible_platforms(provided, required):
"""Can code for the `provided` platform run on the `required` platform?
Returns true if either platform is ``None``, or the platforms are equal.
XXX Needs compatibility checks for Linux and other unixy OSes.
"""
if provided is None or required is None or provided==required:
# easy case
return True
# Mac OS X special cases
reqMac = macosVersionString.match(required)
if reqMac:
provMac = macosVersionString.match(provided)
# is this a Mac package?
if not provMac:
# this is backwards compatibility for packages built before
# setuptools 0.6. All packages built after this point will
# use the new macosx designation.
provDarwin = darwinVersionString.match(provided)
if provDarwin:
dversion = int(provDarwin.group(1))
macosversion = "%s.%s" % (reqMac.group(1), reqMac.group(2))
if dversion == 7 and macosversion >= "10.3" or \
dversion == 8 and macosversion >= "10.4":
return True
# egg isn't macosx or legacy darwin
return False
# are they the same major version and machine type?
if provMac.group(1) != reqMac.group(1) or \
provMac.group(3) != reqMac.group(3):
return False
# is the required OS major update >= the provided one?
if int(provMac.group(2)) > int(reqMac.group(2)):
return False
return True
# XXX Linux and other platforms' special cases should go here
return False
def run_script(dist_spec, script_name):
"""Locate distribution `dist_spec` and run its `script_name` script"""
ns = sys._getframe(1).f_globals
name = ns['__name__']
ns.clear()
ns['__name__'] = name
require(dist_spec)[0].run_script(script_name, ns)
# backward compatibility
run_main = run_script
def get_distribution(dist):
"""Return a current distribution object for a Requirement or string"""
if isinstance(dist, string_types):
dist = Requirement.parse(dist)
if isinstance(dist, Requirement):
dist = get_provider(dist)
if not isinstance(dist, Distribution):
raise TypeError("Expected string, Requirement, or Distribution", dist)
return dist
def load_entry_point(dist, group, name):
"""Return `name` entry point of `group` for `dist` or raise ImportError"""
return get_distribution(dist).load_entry_point(group, name)
def get_entry_map(dist, group=None):
"""Return the entry point map for `group`, or the full entry map"""
return get_distribution(dist).get_entry_map(group)
def get_entry_info(dist, group, name):
"""Return the EntryPoint object for `group`+`name`, or ``None``"""
return get_distribution(dist).get_entry_info(group, name)
class IMetadataProvider:
def has_metadata(name):
"""Does the package's distribution contain the named metadata?"""
def get_metadata(name):
"""The named metadata resource as a string"""
def get_metadata_lines(name):
"""Yield named metadata resource as list of non-blank non-comment lines
Leading and trailing whitespace is stripped from each line, and lines
with ``#`` as the first non-blank character are omitted."""
def metadata_isdir(name):
"""Is the named metadata a directory? (like ``os.path.isdir()``)"""
def metadata_listdir(name):
"""List of metadata names in the directory (like ``os.listdir()``)"""
def run_script(script_name, namespace):
"""Execute the named script in the supplied namespace dictionary"""
class IResourceProvider(IMetadataProvider):
"""An object that provides access to package resources"""
def get_resource_filename(manager, resource_name):
"""Return a true filesystem path for `resource_name`
`manager` must be an ``IResourceManager``"""
def get_resource_stream(manager, resource_name):
"""Return a readable file-like object for `resource_name`
`manager` must be an ``IResourceManager``"""
def get_resource_string(manager, resource_name):
"""Return a string containing the contents of `resource_name`
`manager` must be an ``IResourceManager``"""
def has_resource(resource_name):
"""Does the package contain the named resource?"""
def resource_isdir(resource_name):
"""Is the named resource a directory? (like ``os.path.isdir()``)"""
def resource_listdir(resource_name):
"""List of resource names in the directory (like ``os.listdir()``)"""
class WorkingSet(object):
"""A collection of active distributions on sys.path (or a similar list)"""
def __init__(self, entries=None):
"""Create working set from list of path entries (default=sys.path)"""
self.entries = []
self.entry_keys = {}
self.by_key = {}
self.callbacks = []
if entries is None:
entries = sys.path
for entry in entries:
self.add_entry(entry)
@classmethod
def _build_master(cls):
"""
Prepare the master working set.
"""
ws = cls()
try:
from __main__ import __requires__
except ImportError:
# The main program does not list any requirements
return ws
# ensure the requirements are met
try:
ws.require(__requires__)
except VersionConflict:
return cls._build_from_requirements(__requires__)
return ws
@classmethod
def _build_from_requirements(cls, req_spec):
"""
Build a working set from a requirement spec. Rewrites sys.path.
"""
# try it without defaults already on sys.path
# by starting with an empty path
ws = cls([])
reqs = parse_requirements(req_spec)
dists = ws.resolve(reqs, Environment())
for dist in dists:
ws.add(dist)
# add any missing entries from sys.path
for entry in sys.path:
if entry not in ws.entries:
ws.add_entry(entry)
# then copy back to sys.path
sys.path[:] = ws.entries
return ws
def add_entry(self, entry):
"""Add a path item to ``.entries``, finding any distributions on it
``find_distributions(entry, True)`` is used to find distributions
corresponding to the path entry, and they are added. `entry` is
always appended to ``.entries``, even if it is already present.
(This is because ``sys.path`` can contain the same value more than
once, and the ``.entries`` of the ``sys.path`` WorkingSet should always
equal ``sys.path``.)
"""
self.entry_keys.setdefault(entry, [])
self.entries.append(entry)
for dist in find_distributions(entry, True):
self.add(dist, entry, False)
def __contains__(self, dist):
"""True if `dist` is the active distribution for its project"""
return self.by_key.get(dist.key) == dist
def find(self, req):
"""Find a distribution matching requirement `req`
If there is an active distribution for the requested project, this
returns it as long as it meets the version requirement specified by
`req`. But, if there is an active distribution for the project and it
does *not* meet the `req` requirement, ``VersionConflict`` is raised.
If there is no active distribution for the requested project, ``None``
is returned.
"""
dist = self.by_key.get(req.key)
if dist is not None and dist not in req:
# XXX add more info
raise VersionConflict(dist, req)
return dist
def iter_entry_points(self, group, name=None):
"""Yield entry point objects from `group` matching `name`
If `name` is None, yields all entry points in `group` from all
distributions in the working set, otherwise only ones matching
both `group` and `name` are yielded (in distribution order).
"""
for dist in self:
entries = dist.get_entry_map(group)
if name is None:
for ep in entries.values():
yield ep
elif name in entries:
yield entries[name]
def run_script(self, requires, script_name):
"""Locate distribution for `requires` and run `script_name` script"""
ns = sys._getframe(1).f_globals
name = ns['__name__']
ns.clear()
ns['__name__'] = name
self.require(requires)[0].run_script(script_name, ns)
def __iter__(self):
"""Yield distributions for non-duplicate projects in the working set
The yield order is the order in which the items' path entries were
added to the working set.
"""
seen = {}
for item in self.entries:
if item not in self.entry_keys:
# workaround a cache issue
continue
for key in self.entry_keys[item]:
if key not in seen:
seen[key]=1
yield self.by_key[key]
def add(self, dist, entry=None, insert=True, replace=False):
"""Add `dist` to working set, associated with `entry`
If `entry` is unspecified, it defaults to the ``.location`` of `dist`.
On exit from this routine, `entry` is added to the end of the working
set's ``.entries`` (if it wasn't already present).
`dist` is only added to the working set if it's for a project that
doesn't already have a distribution in the set, unless `replace=True`.
If it's added, any callbacks registered with the ``subscribe()`` method
will be called.
"""
if insert:
dist.insert_on(self.entries, entry)
if entry is None:
entry = dist.location
keys = self.entry_keys.setdefault(entry,[])
keys2 = self.entry_keys.setdefault(dist.location,[])
if not replace and dist.key in self.by_key:
# ignore hidden distros
return
self.by_key[dist.key] = dist
if dist.key not in keys:
keys.append(dist.key)
if dist.key not in keys2:
keys2.append(dist.key)
self._added_new(dist)
def resolve(self, requirements, env=None, installer=None,
replace_conflicting=False):
"""List all distributions needed to (recursively) meet `requirements`
`requirements` must be a sequence of ``Requirement`` objects. `env`,
if supplied, should be an ``Environment`` instance. If
not supplied, it defaults to all distributions available within any
entry or distribution in the working set. `installer`, if supplied,
will be invoked with each requirement that cannot be met by an
already-installed distribution; it should return a ``Distribution`` or
``None``.
Unless `replace_conflicting=True`, raises a VersionConflict exception if
any requirements are found on the path that have the correct name but
the wrong version. Otherwise, if an `installer` is supplied it will be
invoked to obtain the correct version of the requirement and activate
it.
"""
# set up the stack
requirements = list(requirements)[::-1]
# set of processed requirements
processed = {}
# key -> dist
best = {}
to_activate = []
# Mapping of requirement to set of distributions that required it;
# useful for reporting info about conflicts.
required_by = collections.defaultdict(set)
while requirements:
# process dependencies breadth-first
req = requirements.pop(0)
if req in processed:
# Ignore cyclic or redundant dependencies
continue
dist = best.get(req.key)
if dist is None:
# Find the best distribution and add it to the map
dist = self.by_key.get(req.key)
if dist is None or (dist not in req and replace_conflicting):
ws = self
if env is None:
if dist is None:
env = Environment(self.entries)
else:
# Use an empty environment and workingset to avoid
# any further conflicts with the conflicting
# distribution
env = Environment([])
ws = WorkingSet([])
dist = best[req.key] = env.best_match(req, ws, installer)
if dist is None:
requirers = required_by.get(req, None)
raise DistributionNotFound(req, requirers)
to_activate.append(dist)
if dist not in req:
# Oops, the "best" so far conflicts with a dependency
dependent_req = required_by[req]
raise VersionConflict(dist, req).with_context(dependent_req)
# push the new requirements onto the stack
new_requirements = dist.requires(req.extras)[::-1]
requirements.extend(new_requirements)
# Register the new requirements needed by req
for new_requirement in new_requirements:
required_by[new_requirement].add(req.project_name)
processed[req] = True
# return list of distros to activate
return to_activate
def find_plugins(self, plugin_env, full_env=None, installer=None,
fallback=True):
"""Find all activatable distributions in `plugin_env`
Example usage::
distributions, errors = working_set.find_plugins(
Environment(plugin_dirlist)
)
# add plugins+libs to sys.path
map(working_set.add, distributions)
# display errors
print('Could not load', errors)
The `plugin_env` should be an ``Environment`` instance that contains
only distributions that are in the project's "plugin directory" or
directories. The `full_env`, if supplied, should be an ``Environment``
contains all currently-available distributions. If `full_env` is not
supplied, one is created automatically from the ``WorkingSet`` this
method is called on, which will typically mean that every directory on
``sys.path`` will be scanned for distributions.
`installer` is a standard installer callback as used by the
``resolve()`` method. The `fallback` flag indicates whether we should
attempt to resolve older versions of a plugin if the newest version
cannot be resolved.
This method returns a 2-tuple: (`distributions`, `error_info`), where
`distributions` is a list of the distributions found in `plugin_env`
that were loadable, along with any other distributions that are needed
to resolve their dependencies. `error_info` is a dictionary mapping
unloadable plugin distributions to an exception instance describing the
error that occurred. Usually this will be a ``DistributionNotFound`` or
``VersionConflict`` instance.
"""
plugin_projects = list(plugin_env)
# scan project names in alphabetic order
plugin_projects.sort()
error_info = {}
distributions = {}
if full_env is None:
env = Environment(self.entries)
env += plugin_env
else:
env = full_env + plugin_env
shadow_set = self.__class__([])
# put all our entries in shadow_set
list(map(shadow_set.add, self))
for project_name in plugin_projects:
for dist in plugin_env[project_name]:
req = [dist.as_requirement()]
try:
resolvees = shadow_set.resolve(req, env, installer)
except ResolutionError as v:
# save error info
error_info[dist] = v
if fallback:
# try the next older version of project
continue
else:
# give up on this project, keep going
break
else:
list(map(shadow_set.add, resolvees))
distributions.update(dict.fromkeys(resolvees))
# success, no need to try any more versions of this project
break
distributions = list(distributions)
distributions.sort()
return distributions, error_info
def require(self, *requirements):
"""Ensure that distributions matching `requirements` are activated
`requirements` must be a string or a (possibly-nested) sequence
thereof, specifying the distributions and versions required. The
return value is a sequence of the distributions that needed to be
activated to fulfill the requirements; all relevant distributions are
included, even if they were already activated in this working set.
"""
needed = self.resolve(parse_requirements(requirements))
for dist in needed:
self.add(dist)
return needed
def subscribe(self, callback):
"""Invoke `callback` for all distributions (including existing ones)"""
if callback in self.callbacks:
return
self.callbacks.append(callback)
for dist in self:
callback(dist)
def _added_new(self, dist):
for callback in self.callbacks:
callback(dist)
def __getstate__(self):
return (
self.entries[:], self.entry_keys.copy(), self.by_key.copy(),
self.callbacks[:]
)
def __setstate__(self, e_k_b_c):
entries, keys, by_key, callbacks = e_k_b_c
self.entries = entries[:]
self.entry_keys = keys.copy()
self.by_key = by_key.copy()
self.callbacks = callbacks[:]
class Environment(object):
"""Searchable snapshot of distributions on a search path"""
def __init__(self, search_path=None, platform=get_supported_platform(),
python=PY_MAJOR):
"""Snapshot distributions available on a search path
Any distributions found on `search_path` are added to the environment.
`search_path` should be a sequence of ``sys.path`` items. If not
supplied, ``sys.path`` is used.
`platform` is an optional string specifying the name of the platform
that platform-specific distributions must be compatible with. If
unspecified, it defaults to the current platform. `python` is an
optional string naming the desired version of Python (e.g. ``'3.3'``);
it defaults to the current version.
You may explicitly set `platform` (and/or `python`) to ``None`` if you
wish to map *all* distributions, not just those compatible with the
running platform or Python version.
"""
self._distmap = {}
self.platform = platform
self.python = python
self.scan(search_path)
def can_add(self, dist):
"""Is distribution `dist` acceptable for this environment?
The distribution must match the platform and python version
requirements specified when this environment was created, or False
is returned.
"""
return (self.python is None or dist.py_version is None
or dist.py_version==self.python) \
and compatible_platforms(dist.platform, self.platform)
def remove(self, dist):
"""Remove `dist` from the environment"""
self._distmap[dist.key].remove(dist)
def scan(self, search_path=None):
"""Scan `search_path` for distributions usable in this environment
Any distributions found are added to the environment.
`search_path` should be a sequence of ``sys.path`` items. If not
supplied, ``sys.path`` is used. Only distributions conforming to
the platform/python version defined at initialization are added.
"""
if search_path is None:
search_path = sys.path
for item in search_path:
for dist in find_distributions(item):
self.add(dist)
def __getitem__(self, project_name):
"""Return a newest-to-oldest list of distributions for `project_name`
Uses case-insensitive `project_name` comparison, assuming all the
project's distributions use their project's name converted to all
lowercase as their key.
"""
distribution_key = project_name.lower()
return self._distmap.get(distribution_key, [])
def add(self, dist):
"""Add `dist` if we ``can_add()`` it and it has not already been added
"""
if self.can_add(dist) and dist.has_version():
dists = self._distmap.setdefault(dist.key, [])
if dist not in dists:
dists.append(dist)
dists.sort(key=operator.attrgetter('hashcmp'), reverse=True)
def best_match(self, req, working_set, installer=None):
"""Find distribution best matching `req` and usable on `working_set`
This calls the ``find(req)`` method of the `working_set` to see if a
suitable distribution is already active. (This may raise
``VersionConflict`` if an unsuitable version of the project is already
active in the specified `working_set`.) If a suitable distribution
isn't active, this method returns the newest distribution in the
environment that meets the ``Requirement`` in `req`. If no suitable
distribution is found, and `installer` is supplied, then the result of
calling the environment's ``obtain(req, installer)`` method will be
returned.
"""
dist = working_set.find(req)
if dist is not None:
return dist
for dist in self[req.key]:
if dist in req:
return dist
# try to download/install
return self.obtain(req, installer)
def obtain(self, requirement, installer=None):
"""Obtain a distribution matching `requirement` (e.g. via download)
Obtain a distro that matches requirement (e.g. via download). In the
base ``Environment`` class, this routine just returns
``installer(requirement)``, unless `installer` is None, in which case
None is returned instead. This method is a hook that allows subclasses
to attempt other ways of obtaining a distribution before falling back
to the `installer` argument."""
if installer is not None:
return installer(requirement)
def __iter__(self):
"""Yield the unique project names of the available distributions"""
for key in self._distmap.keys():
if self[key]:
yield key
def __iadd__(self, other):
"""In-place addition of a distribution or environment"""
if isinstance(other, Distribution):
self.add(other)
elif isinstance(other, Environment):
for project in other:
for dist in other[project]:
self.add(dist)
else:
raise TypeError("Can't add %r to environment" % (other,))
return self
def __add__(self, other):
"""Add an environment or distribution to an environment"""
new = self.__class__([], platform=None, python=None)
for env in self, other:
new += env
return new
# XXX backward compatibility
AvailableDistributions = Environment
class ExtractionError(RuntimeError):
"""An error occurred extracting a resource
The following attributes are available from instances of this exception:
manager
The resource manager that raised this exception
cache_path
The base directory for resource extraction
original_error
The exception instance that caused extraction to fail
"""
class ResourceManager:
"""Manage resource extraction and packages"""
extraction_path = None
def __init__(self):
self.cached_files = {}
def resource_exists(self, package_or_requirement, resource_name):
"""Does the named resource exist?"""
return get_provider(package_or_requirement).has_resource(resource_name)
def resource_isdir(self, package_or_requirement, resource_name):
"""Is the named resource an existing directory?"""
return get_provider(package_or_requirement).resource_isdir(
resource_name
)
def resource_filename(self, package_or_requirement, resource_name):
"""Return a true filesystem path for specified resource"""
return get_provider(package_or_requirement).get_resource_filename(
self, resource_name
)
def resource_stream(self, package_or_requirement, resource_name):
"""Return a readable file-like object for specified resource"""
return get_provider(package_or_requirement).get_resource_stream(
self, resource_name
)
def resource_string(self, package_or_requirement, resource_name):
"""Return specified resource as a string"""
return get_provider(package_or_requirement).get_resource_string(
self, resource_name
)
def resource_listdir(self, package_or_requirement, resource_name):
"""List the contents of the named resource directory"""
return get_provider(package_or_requirement).resource_listdir(
resource_name
)
def extraction_error(self):
"""Give an error message for problems extracting file(s)"""
old_exc = sys.exc_info()[1]
cache_path = self.extraction_path or get_default_cache()
err = ExtractionError("""Can't extract file(s) to egg cache
The following error occurred while trying to extract file(s) to the Python egg
cache:
%s
The Python egg cache directory is currently set to:
%s
Perhaps your account does not have write access to this directory? You can
change the cache directory by setting the PYTHON_EGG_CACHE environment
variable to point to an accessible directory.
""" % (old_exc, cache_path)
)
err.manager = self
err.cache_path = cache_path
err.original_error = old_exc
raise err
def get_cache_path(self, archive_name, names=()):
"""Return absolute location in cache for `archive_name` and `names`
The parent directory of the resulting path will be created if it does
not already exist. `archive_name` should be the base filename of the
enclosing egg (which may not be the name of the enclosing zipfile!),
including its ".egg" extension. `names`, if provided, should be a
sequence of path name parts "under" the egg's extraction location.
This method should only be called by resource providers that need to
obtain an extraction location, and only for names they intend to
extract, as it tracks the generated names for possible cleanup later.
"""
extract_path = self.extraction_path or get_default_cache()
target_path = os.path.join(extract_path, archive_name+'-tmp', *names)
try:
_bypass_ensure_directory(target_path)
except:
self.extraction_error()
self._warn_unsafe_extraction_path(extract_path)
self.cached_files[target_path] = 1
return target_path
@staticmethod
def _warn_unsafe_extraction_path(path):
"""
If the default extraction path is overridden and set to an insecure
location, such as /tmp, it opens up an opportunity for an attacker to
replace an extracted file with an unauthorized payload. Warn the user
if a known insecure location is used.
See Distribute #375 for more details.
"""
if os.name == 'nt' and not path.startswith(os.environ['windir']):
# On Windows, permissions are generally restrictive by default
# and temp directories are not writable by other users, so
# bypass the warning.
return
mode = os.stat(path).st_mode
if mode & stat.S_IWOTH or mode & stat.S_IWGRP:
msg = ("%s is writable by group/others and vulnerable to attack "
"when "
"used with get_resource_filename. Consider a more secure "
"location (set with .set_extraction_path or the "
"PYTHON_EGG_CACHE environment variable)." % path)
warnings.warn(msg, UserWarning)
def postprocess(self, tempname, filename):
"""Perform any platform-specific postprocessing of `tempname`
This is where Mac header rewrites should be done; other platforms don't
have anything special they should do.
Resource providers should call this method ONLY after successfully
extracting a compressed resource. They must NOT call it on resources
that are already in the filesystem.
`tempname` is the current (temporary) name of the file, and `filename`
is the name it will be renamed to by the caller after this routine
returns.
"""
if os.name == 'posix':
# Make the resource executable
mode = ((os.stat(tempname).st_mode) | 0o555) & 0o7777
os.chmod(tempname, mode)
def set_extraction_path(self, path):
"""Set the base path where resources will be extracted to, if needed.
If you do not call this routine before any extractions take place, the
path defaults to the return value of ``get_default_cache()``. (Which
is based on the ``PYTHON_EGG_CACHE`` environment variable, with various
platform-specific fallbacks. See that routine's documentation for more
details.)
Resources are extracted to subdirectories of this path based upon
information given by the ``IResourceProvider``. You may set this to a
temporary directory, but then you must call ``cleanup_resources()`` to
delete the extracted files when done. There is no guarantee that
``cleanup_resources()`` will be able to remove all extracted files.
(Note: you may not change the extraction path for a given resource
manager once resources have been extracted, unless you first call
``cleanup_resources()``.)
"""
if self.cached_files:
raise ValueError(
"Can't change extraction path, files already extracted"
)
self.extraction_path = path
def cleanup_resources(self, force=False):
"""
Delete all extracted resource files and directories, returning a list
of the file and directory names that could not be successfully removed.
This function does not have any concurrency protection, so it should
generally only be called when the extraction path is a temporary
directory exclusive to a single process. This method is not
automatically called; you must call it explicitly or register it as an
``atexit`` function if you wish to ensure cleanup of a temporary
directory used for extractions.
"""
# XXX
def get_default_cache():
"""Determine the default cache location
This returns the ``PYTHON_EGG_CACHE`` environment variable, if set.
Otherwise, on Windows, it returns a "Python-Eggs" subdirectory of the
"Application Data" directory. On all other systems, it's "~/.python-eggs".
"""
try:
return os.environ['PYTHON_EGG_CACHE']
except KeyError:
pass
if os.name!='nt':
return os.path.expanduser('~/.python-eggs')
# XXX this may be locale-specific!
app_data = 'Application Data'
app_homes = [
# best option, should be locale-safe
(('APPDATA',), None),
(('USERPROFILE',), app_data),
(('HOMEDRIVE','HOMEPATH'), app_data),
(('HOMEPATH',), app_data),
(('HOME',), None),
# 95/98/ME
(('WINDIR',), app_data),
]
for keys, subdir in app_homes:
dirname = ''
for key in keys:
if key in os.environ:
dirname = os.path.join(dirname, os.environ[key])
else:
break
else:
if subdir:
dirname = os.path.join(dirname, subdir)
return os.path.join(dirname, 'Python-Eggs')
else:
raise RuntimeError(
"Please set the PYTHON_EGG_CACHE enviroment variable"
)
def safe_name(name):
"""Convert an arbitrary string to a standard distribution name
Any runs of non-alphanumeric/. characters are replaced with a single '-'.
"""
return re.sub('[^A-Za-z0-9.]+', '-', name)
def safe_version(version):
"""
Convert an arbitrary string to a standard version string
"""
try:
# normalize the version
return str(packaging.version.Version(version))
except packaging.version.InvalidVersion:
version = version.replace(' ','.')
return re.sub('[^A-Za-z0-9.]+', '-', version)
def safe_extra(extra):
"""Convert an arbitrary string to a standard 'extra' name
Any runs of non-alphanumeric characters are replaced with a single '_',
and the result is always lowercased.
"""
return re.sub('[^A-Za-z0-9.]+', '_', extra).lower()
def to_filename(name):
"""Convert a project or version name to its filename-escaped form
Any '-' characters are currently replaced with '_'.
"""
return name.replace('-','_')
class MarkerEvaluation(object):
values = {
'os_name': lambda: os.name,
'sys_platform': lambda: sys.platform,
'python_full_version': platform.python_version,
'python_version': lambda: platform.python_version()[:3],
'platform_version': platform.version,
'platform_machine': platform.machine,
'platform_python_implementation': platform.python_implementation,
'python_implementation': platform.python_implementation,
}
@classmethod
def is_invalid_marker(cls, text):
"""
Validate text as a PEP 426 environment marker; return an exception
if invalid or False otherwise.
"""
try:
cls.evaluate_marker(text)
except SyntaxError as e:
return cls.normalize_exception(e)
return False
@staticmethod
def normalize_exception(exc):
"""
Given a SyntaxError from a marker evaluation, normalize the error
message:
- Remove indications of filename and line number.
- Replace platform-specific error messages with standard error
messages.
"""
subs = {
'unexpected EOF while parsing': 'invalid syntax',
'parenthesis is never closed': 'invalid syntax',
}
exc.filename = None
exc.lineno = None
exc.msg = subs.get(exc.msg, exc.msg)
return exc
@classmethod
def and_test(cls, nodelist):
# MUST NOT short-circuit evaluation, or invalid syntax can be skipped!
items = [
cls.interpret(nodelist[i])
for i in range(1, len(nodelist), 2)
]
return functools.reduce(operator.and_, items)
@classmethod
def test(cls, nodelist):
# MUST NOT short-circuit evaluation, or invalid syntax can be skipped!
items = [
cls.interpret(nodelist[i])
for i in range(1, len(nodelist), 2)
]
return functools.reduce(operator.or_, items)
@classmethod
def atom(cls, nodelist):
t = nodelist[1][0]
if t == token.LPAR:
if nodelist[2][0] == token.RPAR:
raise SyntaxError("Empty parentheses")
return cls.interpret(nodelist[2])
msg = "Language feature not supported in environment markers"
raise SyntaxError(msg)
@classmethod
def comparison(cls, nodelist):
if len(nodelist) > 4:
msg = "Chained comparison not allowed in environment markers"
raise SyntaxError(msg)
comp = nodelist[2][1]
cop = comp[1]
if comp[0] == token.NAME:
if len(nodelist[2]) == 3:
if cop == 'not':
cop = 'not in'
else:
cop = 'is not'
try:
cop = cls.get_op(cop)
except KeyError:
msg = repr(cop) + " operator not allowed in environment markers"
raise SyntaxError(msg)
return cop(cls.evaluate(nodelist[1]), cls.evaluate(nodelist[3]))
@classmethod
def get_op(cls, op):
ops = {
symbol.test: cls.test,
symbol.and_test: cls.and_test,
symbol.atom: cls.atom,
symbol.comparison: cls.comparison,
'not in': lambda x, y: x not in y,
'in': lambda x, y: x in y,
'==': operator.eq,
'!=': operator.ne,
'<': operator.lt,
'>': operator.gt,
'<=': operator.le,
'>=': operator.ge,
}
if hasattr(symbol, 'or_test'):
ops[symbol.or_test] = cls.test
return ops[op]
@classmethod
def evaluate_marker(cls, text, extra=None):
"""
Evaluate a PEP 426 environment marker on CPython 2.4+.
Return a boolean indicating the marker result in this environment.
Raise SyntaxError if marker is invalid.
This implementation uses the 'parser' module, which is not implemented
on
Jython and has been superseded by the 'ast' module in Python 2.6 and
later.
"""
return cls.interpret(parser.expr(text).totuple(1)[1])
@staticmethod
def _translate_metadata2(env):
"""
Markerlib implements Metadata 1.2 (PEP 345) environment markers.
Translate the variables to Metadata 2.0 (PEP 426).
"""
return dict(
(key.replace('.', '_'), value)
for key, value in env
)
@classmethod
def _markerlib_evaluate(cls, text):
"""
Evaluate a PEP 426 environment marker using markerlib.
Return a boolean indicating the marker result in this environment.
Raise SyntaxError if marker is invalid.
"""
import _markerlib
env = cls._translate_metadata2(_markerlib.default_environment())
try:
result = _markerlib.interpret(text, env)
except NameError as e:
raise SyntaxError(e.args[0])
return result
if 'parser' not in globals():
# Fall back to less-complete _markerlib implementation if 'parser' module
# is not available.
evaluate_marker = _markerlib_evaluate
@classmethod
def interpret(cls, nodelist):
while len(nodelist)==2: nodelist = nodelist[1]
try:
op = cls.get_op(nodelist[0])
except KeyError:
raise SyntaxError("Comparison or logical expression expected")
return op(nodelist)
@classmethod
def evaluate(cls, nodelist):
while len(nodelist)==2: nodelist = nodelist[1]
kind = nodelist[0]
name = nodelist[1]
if kind==token.NAME:
try:
op = cls.values[name]
except KeyError:
raise SyntaxError("Unknown name %r" % name)
return op()
if kind==token.STRING:
s = nodelist[1]
if not cls._safe_string(s):
raise SyntaxError(
"Only plain strings allowed in environment markers")
return s[1:-1]
msg = "Language feature not supported in environment markers"
raise SyntaxError(msg)
@staticmethod
def _safe_string(cand):
return (
cand[:1] in "'\"" and
not cand.startswith('"""') and
not cand.startswith("'''") and
'\\' not in cand
)
invalid_marker = MarkerEvaluation.is_invalid_marker
evaluate_marker = MarkerEvaluation.evaluate_marker
class NullProvider:
"""Try to implement resources and metadata for arbitrary PEP 302 loaders"""
egg_name = None
egg_info = None
loader = None
def __init__(self, module):
self.loader = getattr(module, '__loader__', None)
self.module_path = os.path.dirname(getattr(module, '__file__', ''))
def get_resource_filename(self, manager, resource_name):
return self._fn(self.module_path, resource_name)
def get_resource_stream(self, manager, resource_name):
return io.BytesIO(self.get_resource_string(manager, resource_name))
def get_resource_string(self, manager, resource_name):
return self._get(self._fn(self.module_path, resource_name))
def has_resource(self, resource_name):
return self._has(self._fn(self.module_path, resource_name))
def has_metadata(self, name):
return self.egg_info and self._has(self._fn(self.egg_info, name))
if sys.version_info <= (3,):
def get_metadata(self, name):
if not self.egg_info:
return ""
return self._get(self._fn(self.egg_info, name))
else:
def get_metadata(self, name):
if not self.egg_info:
return ""
return self._get(self._fn(self.egg_info, name)).decode("utf-8")
def get_metadata_lines(self, name):
return yield_lines(self.get_metadata(name))
def resource_isdir(self, resource_name):
return self._isdir(self._fn(self.module_path, resource_name))
def metadata_isdir(self, name):
return self.egg_info and self._isdir(self._fn(self.egg_info, name))
def resource_listdir(self, resource_name):
return self._listdir(self._fn(self.module_path, resource_name))
def metadata_listdir(self, name):
if self.egg_info:
return self._listdir(self._fn(self.egg_info, name))
return []
def run_script(self, script_name, namespace):
script = 'scripts/'+script_name
if not self.has_metadata(script):
raise ResolutionError("No script named %r" % script_name)
script_text = self.get_metadata(script).replace('\r\n', '\n')
script_text = script_text.replace('\r', '\n')
script_filename = self._fn(self.egg_info, script)
namespace['__file__'] = script_filename
if os.path.exists(script_filename):
source = open(script_filename).read()
code = compile(source, script_filename, 'exec')
exec(code, namespace, namespace)
else:
from linecache import cache
cache[script_filename] = (
len(script_text), 0, script_text.split('\n'), script_filename
)
script_code = compile(script_text, script_filename,'exec')
exec(script_code, namespace, namespace)
def _has(self, path):
raise NotImplementedError(
"Can't perform this operation for unregistered loader type"
)
def _isdir(self, path):
raise NotImplementedError(
"Can't perform this operation for unregistered loader type"
)
def _listdir(self, path):
raise NotImplementedError(
"Can't perform this operation for unregistered loader type"
)
def _fn(self, base, resource_name):
if resource_name:
return os.path.join(base, *resource_name.split('/'))
return base
def _get(self, path):
if hasattr(self.loader, 'get_data'):
return self.loader.get_data(path)
raise NotImplementedError(
"Can't perform this operation for loaders without 'get_data()'"
)
register_loader_type(object, NullProvider)
class EggProvider(NullProvider):
"""Provider based on a virtual filesystem"""
def __init__(self, module):
NullProvider.__init__(self, module)
self._setup_prefix()
def _setup_prefix(self):
# we assume here that our metadata may be nested inside a "basket"
# of multiple eggs; that's why we use module_path instead of .archive
path = self.module_path
old = None
while path!=old:
if _is_unpacked_egg(path):
self.egg_name = os.path.basename(path)
self.egg_info = os.path.join(path, 'EGG-INFO')
self.egg_root = path
break
old = path
path, base = os.path.split(path)
class DefaultProvider(EggProvider):
"""Provides access to package resources in the filesystem"""
def _has(self, path):
return os.path.exists(path)
def _isdir(self, path):
return os.path.isdir(path)
def _listdir(self, path):
return os.listdir(path)
def get_resource_stream(self, manager, resource_name):
return open(self._fn(self.module_path, resource_name), 'rb')
def _get(self, path):
with open(path, 'rb') as stream:
return stream.read()
register_loader_type(type(None), DefaultProvider)
if importlib_machinery is not None:
register_loader_type(importlib_machinery.SourceFileLoader, DefaultProvider)
class EmptyProvider(NullProvider):
"""Provider that returns nothing for all requests"""
_isdir = _has = lambda self, path: False
_get = lambda self, path: ''
_listdir = lambda self, path: []
module_path = None
def __init__(self):
pass
empty_provider = EmptyProvider()
class ZipManifests(dict):
"""
zip manifest builder
"""
@classmethod
def build(cls, path):
"""
Build a dictionary similar to the zipimport directory
caches, except instead of tuples, store ZipInfo objects.
Use a platform-specific path separator (os.sep) for the path keys
for compatibility with pypy on Windows.
"""
with ContextualZipFile(path) as zfile:
items = (
(
name.replace('/', os.sep),
zfile.getinfo(name),
)
for name in zfile.namelist()
)
return dict(items)
load = build
class MemoizedZipManifests(ZipManifests):
"""
Memoized zipfile manifests.
"""
manifest_mod = collections.namedtuple('manifest_mod', 'manifest mtime')
def load(self, path):
"""
Load a manifest at path or return a suitable manifest already loaded.
"""
path = os.path.normpath(path)
mtime = os.stat(path).st_mtime
if path not in self or self[path].mtime != mtime:
manifest = self.build(path)
self[path] = self.manifest_mod(manifest, mtime)
return self[path].manifest
class ContextualZipFile(zipfile.ZipFile):
"""
Supplement ZipFile class to support context manager for Python 2.6
"""
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.close()
def __new__(cls, *args, **kwargs):
"""
Construct a ZipFile or ContextualZipFile as appropriate
"""
if hasattr(zipfile.ZipFile, '__exit__'):
return zipfile.ZipFile(*args, **kwargs)
return super(ContextualZipFile, cls).__new__(cls)
class ZipProvider(EggProvider):
"""Resource support for zips and eggs"""
eagers = None
_zip_manifests = MemoizedZipManifests()
def __init__(self, module):
EggProvider.__init__(self, module)
self.zip_pre = self.loader.archive+os.sep
def _zipinfo_name(self, fspath):
# Convert a virtual filename (full path to file) into a zipfile subpath
# usable with the zipimport directory cache for our target archive
if fspath.startswith(self.zip_pre):
return fspath[len(self.zip_pre):]
raise AssertionError(
"%s is not a subpath of %s" % (fspath, self.zip_pre)
)
def _parts(self, zip_path):
# Convert a zipfile subpath into an egg-relative path part list.
# pseudo-fs path
fspath = self.zip_pre+zip_path
if fspath.startswith(self.egg_root+os.sep):
return fspath[len(self.egg_root)+1:].split(os.sep)
raise AssertionError(
"%s is not a subpath of %s" % (fspath, self.egg_root)
)
@property
def zipinfo(self):
return self._zip_manifests.load(self.loader.archive)
def get_resource_filename(self, manager, resource_name):
if not self.egg_name:
raise NotImplementedError(
"resource_filename() only supported for .egg, not .zip"
)
# no need to lock for extraction, since we use temp names
zip_path = self._resource_to_zip(resource_name)
eagers = self._get_eager_resources()
if '/'.join(self._parts(zip_path)) in eagers:
for name in eagers:
self._extract_resource(manager, self._eager_to_zip(name))
return self._extract_resource(manager, zip_path)
@staticmethod
def _get_date_and_size(zip_stat):
size = zip_stat.file_size
# ymdhms+wday, yday, dst
date_time = zip_stat.date_time + (0, 0, -1)
# 1980 offset already done
timestamp = time.mktime(date_time)
return timestamp, size
def _extract_resource(self, manager, zip_path):
if zip_path in self._index():
for name in self._index()[zip_path]:
last = self._extract_resource(
manager, os.path.join(zip_path, name)
)
# return the extracted directory name
return os.path.dirname(last)
timestamp, size = self._get_date_and_size(self.zipinfo[zip_path])
if not WRITE_SUPPORT:
raise IOError('"os.rename" and "os.unlink" are not supported '
'on this platform')
try:
real_path = manager.get_cache_path(
self.egg_name, self._parts(zip_path)
)
if self._is_current(real_path, zip_path):
return real_path
outf, tmpnam = _mkstemp(".$extract", dir=os.path.dirname(real_path))
os.write(outf, self.loader.get_data(zip_path))
os.close(outf)
utime(tmpnam, (timestamp, timestamp))
manager.postprocess(tmpnam, real_path)
try:
rename(tmpnam, real_path)
except os.error:
if os.path.isfile(real_path):
if self._is_current(real_path, zip_path):
# the file became current since it was checked above,
# so proceed.
return real_path
# Windows, del old file and retry
elif os.name=='nt':
unlink(real_path)
rename(tmpnam, real_path)
return real_path
raise
except os.error:
# report a user-friendly error
manager.extraction_error()
return real_path
def _is_current(self, file_path, zip_path):
"""
Return True if the file_path is current for this zip_path
"""
timestamp, size = self._get_date_and_size(self.zipinfo[zip_path])
if not os.path.isfile(file_path):
return False
stat = os.stat(file_path)
if stat.st_size!=size or stat.st_mtime!=timestamp:
return False
# check that the contents match
zip_contents = self.loader.get_data(zip_path)
with open(file_path, 'rb') as f:
file_contents = f.read()
return zip_contents == file_contents
def _get_eager_resources(self):
if self.eagers is None:
eagers = []
for name in ('native_libs.txt', 'eager_resources.txt'):
if self.has_metadata(name):
eagers.extend(self.get_metadata_lines(name))
self.eagers = eagers
return self.eagers
def _index(self):
try:
return self._dirindex
except AttributeError:
ind = {}
for path in self.zipinfo:
parts = path.split(os.sep)
while parts:
parent = os.sep.join(parts[:-1])
if parent in ind:
ind[parent].append(parts[-1])
break
else:
ind[parent] = [parts.pop()]
self._dirindex = ind
return ind
def _has(self, fspath):
zip_path = self._zipinfo_name(fspath)
return zip_path in self.zipinfo or zip_path in self._index()
def _isdir(self, fspath):
return self._zipinfo_name(fspath) in self._index()
def _listdir(self, fspath):
return list(self._index().get(self._zipinfo_name(fspath), ()))
def _eager_to_zip(self, resource_name):
return self._zipinfo_name(self._fn(self.egg_root, resource_name))
def _resource_to_zip(self, resource_name):
return self._zipinfo_name(self._fn(self.module_path, resource_name))
register_loader_type(zipimport.zipimporter, ZipProvider)
class FileMetadata(EmptyProvider):
"""Metadata handler for standalone PKG-INFO files
Usage::
metadata = FileMetadata("/path/to/PKG-INFO")
This provider rejects all data and metadata requests except for PKG-INFO,
which is treated as existing, and will be the contents of the file at
the provided location.
"""
def __init__(self, path):
self.path = path
def has_metadata(self, name):
return name=='PKG-INFO'
def get_metadata(self, name):
if name=='PKG-INFO':
with open(self.path,'rU') as f:
metadata = f.read()
return metadata
raise KeyError("No metadata except PKG-INFO is available")
def get_metadata_lines(self, name):
return yield_lines(self.get_metadata(name))
class PathMetadata(DefaultProvider):
"""Metadata provider for egg directories
Usage::
# Development eggs:
egg_info = "/path/to/PackageName.egg-info"
base_dir = os.path.dirname(egg_info)
metadata = PathMetadata(base_dir, egg_info)
dist_name = os.path.splitext(os.path.basename(egg_info))[0]
dist = Distribution(basedir, project_name=dist_name, metadata=metadata)
# Unpacked egg directories:
egg_path = "/path/to/PackageName-ver-pyver-etc.egg"
metadata = PathMetadata(egg_path, os.path.join(egg_path,'EGG-INFO'))
dist = Distribution.from_filename(egg_path, metadata=metadata)
"""
def __init__(self, path, egg_info):
self.module_path = path
self.egg_info = egg_info
class EggMetadata(ZipProvider):
"""Metadata provider for .egg files"""
def __init__(self, importer):
"""Create a metadata provider from a zipimporter"""
self.zip_pre = importer.archive+os.sep
self.loader = importer
if importer.prefix:
self.module_path = os.path.join(importer.archive, importer.prefix)
else:
self.module_path = importer.archive
self._setup_prefix()
_declare_state('dict', _distribution_finders = {})
def register_finder(importer_type, distribution_finder):
"""Register `distribution_finder` to find distributions in sys.path items
`importer_type` is the type or class of a PEP 302 "Importer" (sys.path item
handler), and `distribution_finder` is a callable that, passed a path
item and the importer instance, yields ``Distribution`` instances found on
that path item. See ``pkg_resources.find_on_path`` for an example."""
_distribution_finders[importer_type] = distribution_finder
def find_distributions(path_item, only=False):
"""Yield distributions accessible via `path_item`"""
importer = get_importer(path_item)
finder = _find_adapter(_distribution_finders, importer)
return finder(importer, path_item, only)
def find_eggs_in_zip(importer, path_item, only=False):
"""
Find eggs in zip files; possibly multiple nested eggs.
"""
if importer.archive.endswith('.whl'):
# wheels are not supported with this finder
# they don't have PKG-INFO metadata, and won't ever contain eggs
return
metadata = EggMetadata(importer)
if metadata.has_metadata('PKG-INFO'):
yield Distribution.from_filename(path_item, metadata=metadata)
if only:
# don't yield nested distros
return
for subitem in metadata.resource_listdir('/'):
if _is_unpacked_egg(subitem):
subpath = os.path.join(path_item, subitem)
for dist in find_eggs_in_zip(zipimport.zipimporter(subpath), subpath):
yield dist
register_finder(zipimport.zipimporter, find_eggs_in_zip)
def find_nothing(importer, path_item, only=False):
return ()
register_finder(object, find_nothing)
def find_on_path(importer, path_item, only=False):
"""Yield distributions accessible on a sys.path directory"""
path_item = _normalize_cached(path_item)
if os.path.isdir(path_item) and os.access(path_item, os.R_OK):
if _is_unpacked_egg(path_item):
yield Distribution.from_filename(
path_item, metadata=PathMetadata(
path_item, os.path.join(path_item,'EGG-INFO')
)
)
else:
# scan for .egg and .egg-info in directory
for entry in os.listdir(path_item):
lower = entry.lower()
if lower.endswith('.egg-info') or lower.endswith('.dist-info'):
fullpath = os.path.join(path_item, entry)
if os.path.isdir(fullpath):
# egg-info directory, allow getting metadata
metadata = PathMetadata(path_item, fullpath)
else:
metadata = FileMetadata(fullpath)
yield Distribution.from_location(
path_item, entry, metadata, precedence=DEVELOP_DIST
)
elif not only and _is_unpacked_egg(entry):
dists = find_distributions(os.path.join(path_item, entry))
for dist in dists:
yield dist
elif not only and lower.endswith('.egg-link'):
with open(os.path.join(path_item, entry)) as entry_file:
entry_lines = entry_file.readlines()
for line in entry_lines:
if not line.strip():
continue
path = os.path.join(path_item, line.rstrip())
dists = find_distributions(path)
for item in dists:
yield item
break
register_finder(pkgutil.ImpImporter, find_on_path)
if importlib_machinery is not None:
register_finder(importlib_machinery.FileFinder, find_on_path)
_declare_state('dict', _namespace_handlers={})
_declare_state('dict', _namespace_packages={})
def register_namespace_handler(importer_type, namespace_handler):
"""Register `namespace_handler` to declare namespace packages
`importer_type` is the type or class of a PEP 302 "Importer" (sys.path item
handler), and `namespace_handler` is a callable like this::
def namespace_handler(importer, path_entry, moduleName, module):
# return a path_entry to use for child packages
Namespace handlers are only called if the importer object has already
agreed that it can handle the relevant path item, and they should only
return a subpath if the module __path__ does not already contain an
equivalent subpath. For an example namespace handler, see
``pkg_resources.file_ns_handler``.
"""
_namespace_handlers[importer_type] = namespace_handler
def _handle_ns(packageName, path_item):
"""Ensure that named package includes a subpath of path_item (if needed)"""
importer = get_importer(path_item)
if importer is None:
return None
loader = importer.find_module(packageName)
if loader is None:
return None
module = sys.modules.get(packageName)
if module is None:
module = sys.modules[packageName] = types.ModuleType(packageName)
module.__path__ = []
_set_parent_ns(packageName)
elif not hasattr(module,'__path__'):
raise TypeError("Not a package:", packageName)
handler = _find_adapter(_namespace_handlers, importer)
subpath = handler(importer, path_item, packageName, module)
if subpath is not None:
path = module.__path__
path.append(subpath)
loader.load_module(packageName)
for path_item in path:
if path_item not in module.__path__:
module.__path__.append(path_item)
return subpath
def declare_namespace(packageName):
"""Declare that package 'packageName' is a namespace package"""
_imp.acquire_lock()
try:
if packageName in _namespace_packages:
return
path, parent = sys.path, None
if '.' in packageName:
parent = '.'.join(packageName.split('.')[:-1])
declare_namespace(parent)
if parent not in _namespace_packages:
__import__(parent)
try:
path = sys.modules[parent].__path__
except AttributeError:
raise TypeError("Not a package:", parent)
# Track what packages are namespaces, so when new path items are added,
# they can be updated
_namespace_packages.setdefault(parent,[]).append(packageName)
_namespace_packages.setdefault(packageName,[])
for path_item in path:
# Ensure all the parent's path items are reflected in the child,
# if they apply
_handle_ns(packageName, path_item)
finally:
_imp.release_lock()
def fixup_namespace_packages(path_item, parent=None):
"""Ensure that previously-declared namespace packages include path_item"""
_imp.acquire_lock()
try:
for package in _namespace_packages.get(parent,()):
subpath = _handle_ns(package, path_item)
if subpath:
fixup_namespace_packages(subpath, package)
finally:
_imp.release_lock()
def file_ns_handler(importer, path_item, packageName, module):
"""Compute an ns-package subpath for a filesystem or zipfile importer"""
subpath = os.path.join(path_item, packageName.split('.')[-1])
normalized = _normalize_cached(subpath)
for item in module.__path__:
if _normalize_cached(item)==normalized:
break
else:
# Only return the path if it's not already there
return subpath
register_namespace_handler(pkgutil.ImpImporter, file_ns_handler)
register_namespace_handler(zipimport.zipimporter, file_ns_handler)
if importlib_machinery is not None:
register_namespace_handler(importlib_machinery.FileFinder, file_ns_handler)
def null_ns_handler(importer, path_item, packageName, module):
return None
register_namespace_handler(object, null_ns_handler)
def normalize_path(filename):
"""Normalize a file/dir name for comparison purposes"""
return os.path.normcase(os.path.realpath(filename))
def _normalize_cached(filename, _cache={}):
try:
return _cache[filename]
except KeyError:
_cache[filename] = result = normalize_path(filename)
return result
def _is_unpacked_egg(path):
"""
Determine if given path appears to be an unpacked egg.
"""
return (
path.lower().endswith('.egg')
)
def _set_parent_ns(packageName):
parts = packageName.split('.')
name = parts.pop()
if parts:
parent = '.'.join(parts)
setattr(sys.modules[parent], name, sys.modules[packageName])
def yield_lines(strs):
"""Yield non-empty/non-comment lines of a string or sequence"""
if isinstance(strs, string_types):
for s in strs.splitlines():
s = s.strip()
# skip blank lines/comments
if s and not s.startswith('#'):
yield s
else:
for ss in strs:
for s in yield_lines(ss):
yield s
# whitespace and comment
LINE_END = re.compile(r"\s*(#.*)?$").match
# line continuation
CONTINUE = re.compile(r"\s*\\\s*(#.*)?$").match
# Distribution or extra
DISTRO = re.compile(r"\s*((\w|[-.])+)").match
# ver. info
VERSION = re.compile(r"\s*(<=?|>=?|===?|!=|~=)\s*((\w|[-.*_!+])+)").match
# comma between items
COMMA = re.compile(r"\s*,").match
OBRACKET = re.compile(r"\s*\[").match
CBRACKET = re.compile(r"\s*\]").match
MODULE = re.compile(r"\w+(\.\w+)*$").match
EGG_NAME = re.compile(
r"""
(?P<name>[^-]+) (
-(?P<ver>[^-]+) (
-py(?P<pyver>[^-]+) (
-(?P<plat>.+)
)?
)?
)?
""",
re.VERBOSE | re.IGNORECASE,
).match
class EntryPoint(object):
"""Object representing an advertised importable object"""
def __init__(self, name, module_name, attrs=(), extras=(), dist=None):
if not MODULE(module_name):
raise ValueError("Invalid module name", module_name)
self.name = name
self.module_name = module_name
self.attrs = tuple(attrs)
self.extras = Requirement.parse(("x[%s]" % ','.join(extras))).extras
self.dist = dist
def __str__(self):
s = "%s = %s" % (self.name, self.module_name)
if self.attrs:
s += ':' + '.'.join(self.attrs)
if self.extras:
s += ' [%s]' % ','.join(self.extras)
return s
def __repr__(self):
return "EntryPoint.parse(%r)" % str(self)
def load(self, require=True, *args, **kwargs):
"""
Require packages for this EntryPoint, then resolve it.
"""
if not require or args or kwargs:
warnings.warn(
"Parameters to load are deprecated. Call .resolve and "
".require separately.",
DeprecationWarning,
stacklevel=2,
)
if require:
self.require(*args, **kwargs)
return self.resolve()
def resolve(self):
"""
Resolve the entry point from its module and attrs.
"""
module = __import__(self.module_name, fromlist=['__name__'], level=0)
try:
return functools.reduce(getattr, self.attrs, module)
except AttributeError as exc:
raise ImportError(str(exc))
def require(self, env=None, installer=None):
if self.extras and not self.dist:
raise UnknownExtra("Can't require() without a distribution", self)
reqs = self.dist.requires(self.extras)
items = working_set.resolve(reqs, env, installer)
list(map(working_set.add, items))
pattern = re.compile(
r'\s*'
r'(?P<name>.+?)\s*'
r'=\s*'
r'(?P<module>[\w.]+)\s*'
r'(:\s*(?P<attr>[\w.]+))?\s*'
r'(?P<extras>\[.*\])?\s*$'
)
@classmethod
def parse(cls, src, dist=None):
"""Parse a single entry point from string `src`
Entry point syntax follows the form::
name = some.module:some.attr [extra1, extra2]
The entry name and module name are required, but the ``:attrs`` and
``[extras]`` parts are optional
"""
m = cls.pattern.match(src)
if not m:
msg = "EntryPoint must be in 'name=module:attrs [extras]' format"
raise ValueError(msg, src)
res = m.groupdict()
extras = cls._parse_extras(res['extras'])
attrs = res['attr'].split('.') if res['attr'] else ()
return cls(res['name'], res['module'], attrs, extras, dist)
@classmethod
def _parse_extras(cls, extras_spec):
if not extras_spec:
return ()
req = Requirement.parse('x' + extras_spec)
if req.specs:
raise ValueError()
return req.extras
@classmethod
def parse_group(cls, group, lines, dist=None):
"""Parse an entry point group"""
if not MODULE(group):
raise ValueError("Invalid group name", group)
this = {}
for line in yield_lines(lines):
ep = cls.parse(line, dist)
if ep.name in this:
raise ValueError("Duplicate entry point", group, ep.name)
this[ep.name]=ep
return this
@classmethod
def parse_map(cls, data, dist=None):
"""Parse a map of entry point groups"""
if isinstance(data, dict):
data = data.items()
else:
data = split_sections(data)
maps = {}
for group, lines in data:
if group is None:
if not lines:
continue
raise ValueError("Entry points must be listed in groups")
group = group.strip()
if group in maps:
raise ValueError("Duplicate group name", group)
maps[group] = cls.parse_group(group, lines, dist)
return maps
def _remove_md5_fragment(location):
if not location:
return ''
parsed = urlparse(location)
if parsed[-1].startswith('md5='):
return urlunparse(parsed[:-1] + ('',))
return location
class Distribution(object):
"""Wrap an actual or potential sys.path entry w/metadata"""
PKG_INFO = 'PKG-INFO'
def __init__(self, location=None, metadata=None, project_name=None,
version=None, py_version=PY_MAJOR, platform=None,
precedence=EGG_DIST):
self.project_name = safe_name(project_name or 'Unknown')
if version is not None:
self._version = safe_version(version)
self.py_version = py_version
self.platform = platform
self.location = location
self.precedence = precedence
self._provider = metadata or empty_provider
@classmethod
def from_location(cls, location, basename, metadata=None,**kw):
project_name, version, py_version, platform = [None]*4
basename, ext = os.path.splitext(basename)
if ext.lower() in _distributionImpl:
# .dist-info gets much metadata differently
match = EGG_NAME(basename)
if match:
project_name, version, py_version, platform = match.group(
'name','ver','pyver','plat'
)
cls = _distributionImpl[ext.lower()]
return cls(
location, metadata, project_name=project_name, version=version,
py_version=py_version, platform=platform, **kw
)
@property
def hashcmp(self):
return (
self.parsed_version,
self.precedence,
self.key,
_remove_md5_fragment(self.location),
self.py_version or '',
self.platform or '',
)
def __hash__(self):
return hash(self.hashcmp)
def __lt__(self, other):
return self.hashcmp < other.hashcmp
def __le__(self, other):
return self.hashcmp <= other.hashcmp
def __gt__(self, other):
return self.hashcmp > other.hashcmp
def __ge__(self, other):
return self.hashcmp >= other.hashcmp
def __eq__(self, other):
if not isinstance(other, self.__class__):
# It's not a Distribution, so they are not equal
return False
return self.hashcmp == other.hashcmp
def __ne__(self, other):
return not self == other
# These properties have to be lazy so that we don't have to load any
# metadata until/unless it's actually needed. (i.e., some distributions
# may not know their name or version without loading PKG-INFO)
@property
def key(self):
try:
return self._key
except AttributeError:
self._key = key = self.project_name.lower()
return key
@property
def parsed_version(self):
if not hasattr(self, "_parsed_version"):
self._parsed_version = parse_version(self.version)
return self._parsed_version
def _warn_legacy_version(self):
LV = packaging.version.LegacyVersion
is_legacy = isinstance(self._parsed_version, LV)
if not is_legacy:
return
# While an empty version is technically a legacy version and
# is not a valid PEP 440 version, it's also unlikely to
# actually come from someone and instead it is more likely that
# it comes from setuptools attempting to parse a filename and
# including it in the list. So for that we'll gate this warning
# on if the version is anything at all or not.
if not self.version:
return
tmpl = textwrap.dedent("""
'{project_name} ({version})' is being parsed as a legacy,
non PEP 440,
version. You may find odd behavior and sort order.
In particular it will be sorted as less than 0.0. It
is recommended to migrate to PEP 440 compatible
versions.
""").strip().replace('\n', ' ')
warnings.warn(tmpl.format(**vars(self)), PEP440Warning)
@property
def version(self):
try:
return self._version
except AttributeError:
for line in self._get_metadata(self.PKG_INFO):
if line.lower().startswith('version:'):
self._version = safe_version(line.split(':',1)[1].strip())
return self._version
else:
tmpl = "Missing 'Version:' header and/or %s file"
raise ValueError(tmpl % self.PKG_INFO, self)
@property
def _dep_map(self):
try:
return self.__dep_map
except AttributeError:
dm = self.__dep_map = {None: []}
for name in 'requires.txt', 'depends.txt':
for extra, reqs in split_sections(self._get_metadata(name)):
if extra:
if ':' in extra:
extra, marker = extra.split(':', 1)
if invalid_marker(marker):
# XXX warn
reqs=[]
elif not evaluate_marker(marker):
reqs=[]
extra = safe_extra(extra) or None
dm.setdefault(extra,[]).extend(parse_requirements(reqs))
return dm
def requires(self, extras=()):
"""List of Requirements needed for this distro if `extras` are used"""
dm = self._dep_map
deps = []
deps.extend(dm.get(None, ()))
for ext in extras:
try:
deps.extend(dm[safe_extra(ext)])
except KeyError:
raise UnknownExtra(
"%s has no such extra feature %r" % (self, ext)
)
return deps
def _get_metadata(self, name):
if self.has_metadata(name):
for line in self.get_metadata_lines(name):
yield line
def activate(self, path=None):
"""Ensure distribution is importable on `path` (default=sys.path)"""
if path is None:
path = sys.path
self.insert_on(path)
if path is sys.path:
fixup_namespace_packages(self.location)
for pkg in self._get_metadata('namespace_packages.txt'):
if pkg in sys.modules:
declare_namespace(pkg)
def egg_name(self):
"""Return what this distribution's standard .egg filename should be"""
filename = "%s-%s-py%s" % (
to_filename(self.project_name), to_filename(self.version),
self.py_version or PY_MAJOR
)
if self.platform:
filename += '-' + self.platform
return filename
def __repr__(self):
if self.location:
return "%s (%s)" % (self, self.location)
else:
return str(self)
def __str__(self):
try:
version = getattr(self, 'version', None)
except ValueError:
version = None
version = version or "[unknown version]"
return "%s %s" % (self.project_name, version)
def __getattr__(self, attr):
"""Delegate all unrecognized public attributes to .metadata provider"""
if attr.startswith('_'):
raise AttributeError(attr)
return getattr(self._provider, attr)
@classmethod
def from_filename(cls, filename, metadata=None, **kw):
return cls.from_location(
_normalize_cached(filename), os.path.basename(filename), metadata,
**kw
)
def as_requirement(self):
"""Return a ``Requirement`` that matches this distribution exactly"""
if isinstance(self.parsed_version, packaging.version.Version):
spec = "%s==%s" % (self.project_name, self.parsed_version)
else:
spec = "%s===%s" % (self.project_name, self.parsed_version)
return Requirement.parse(spec)
def load_entry_point(self, group, name):
"""Return the `name` entry point of `group` or raise ImportError"""
ep = self.get_entry_info(group, name)
if ep is None:
raise ImportError("Entry point %r not found" % ((group, name),))
return ep.load()
def get_entry_map(self, group=None):
"""Return the entry point map for `group`, or the full entry map"""
try:
ep_map = self._ep_map
except AttributeError:
ep_map = self._ep_map = EntryPoint.parse_map(
self._get_metadata('entry_points.txt'), self
)
if group is not None:
return ep_map.get(group,{})
return ep_map
def get_entry_info(self, group, name):
"""Return the EntryPoint object for `group`+`name`, or ``None``"""
return self.get_entry_map(group).get(name)
def insert_on(self, path, loc = None):
"""Insert self.location in path before its nearest parent directory"""
loc = loc or self.location
if not loc:
return
nloc = _normalize_cached(loc)
bdir = os.path.dirname(nloc)
npath= [(p and _normalize_cached(p) or p) for p in path]
for p, item in enumerate(npath):
if item == nloc:
break
elif item == bdir and self.precedence == EGG_DIST:
# if it's an .egg, give it precedence over its directory
if path is sys.path:
self.check_version_conflict()
path.insert(p, loc)
npath.insert(p, nloc)
break
else:
if path is sys.path:
self.check_version_conflict()
path.append(loc)
return
# p is the spot where we found or inserted loc; now remove duplicates
while True:
try:
np = npath.index(nloc, p+1)
except ValueError:
break
else:
del npath[np], path[np]
# ha!
p = np
return
def check_version_conflict(self):
if self.key == 'setuptools':
# ignore the inevitable setuptools self-conflicts :(
return
nsp = dict.fromkeys(self._get_metadata('namespace_packages.txt'))
loc = normalize_path(self.location)
for modname in self._get_metadata('top_level.txt'):
if (modname not in sys.modules or modname in nsp
or modname in _namespace_packages):
continue
if modname in ('pkg_resources', 'setuptools', 'site'):
continue
fn = getattr(sys.modules[modname], '__file__', None)
if fn and (normalize_path(fn).startswith(loc) or
fn.startswith(self.location)):
continue
issue_warning(
"Module %s was already imported from %s, but %s is being added"
" to sys.path" % (modname, fn, self.location),
)
def has_version(self):
try:
self.version
except ValueError:
issue_warning("Unbuilt egg for " + repr(self))
return False
return True
def clone(self,**kw):
"""Copy this distribution, substituting in any changed keyword args"""
names = 'project_name version py_version platform location precedence'
for attr in names.split():
kw.setdefault(attr, getattr(self, attr, None))
kw.setdefault('metadata', self._provider)
return self.__class__(**kw)
@property
def extras(self):
return [dep for dep in self._dep_map if dep]
class DistInfoDistribution(Distribution):
"""Wrap an actual or potential sys.path entry w/metadata, .dist-info style"""
PKG_INFO = 'METADATA'
EQEQ = re.compile(r"([\(,])\s*(\d.*?)\s*([,\)])")
@property
def _parsed_pkg_info(self):
"""Parse and cache metadata"""
try:
return self._pkg_info
except AttributeError:
metadata = self.get_metadata(self.PKG_INFO)
self._pkg_info = email.parser.Parser().parsestr(metadata)
return self._pkg_info
@property
def _dep_map(self):
try:
return self.__dep_map
except AttributeError:
self.__dep_map = self._compute_dependencies()
return self.__dep_map
def _preparse_requirement(self, requires_dist):
"""Convert 'Foobar (1); baz' to ('Foobar ==1', 'baz')
Split environment marker, add == prefix to version specifiers as
necessary, and remove parenthesis.
"""
parts = requires_dist.split(';', 1) + ['']
distvers = parts[0].strip()
mark = parts[1].strip()
distvers = re.sub(self.EQEQ, r"\1==\2\3", distvers)
distvers = distvers.replace('(', '').replace(')', '')
return (distvers, mark)
def _compute_dependencies(self):
"""Recompute this distribution's dependencies."""
from _markerlib import compile as compile_marker
dm = self.__dep_map = {None: []}
reqs = []
# Including any condition expressions
for req in self._parsed_pkg_info.get_all('Requires-Dist') or []:
distvers, mark = self._preparse_requirement(req)
parsed = next(parse_requirements(distvers))
parsed.marker_fn = compile_marker(mark)
reqs.append(parsed)
def reqs_for_extra(extra):
for req in reqs:
if req.marker_fn(override={'extra':extra}):
yield req
common = frozenset(reqs_for_extra(None))
dm[None].extend(common)
for extra in self._parsed_pkg_info.get_all('Provides-Extra') or []:
extra = safe_extra(extra.strip())
dm[extra] = list(frozenset(reqs_for_extra(extra)) - common)
return dm
_distributionImpl = {
'.egg': Distribution,
'.egg-info': Distribution,
'.dist-info': DistInfoDistribution,
}
def issue_warning(*args,**kw):
level = 1
g = globals()
try:
# find the first stack frame that is *not* code in
# the pkg_resources module, to use for the warning
while sys._getframe(level).f_globals is g:
level += 1
except ValueError:
pass
warnings.warn(stacklevel=level + 1, *args, **kw)
class RequirementParseError(ValueError):
def __str__(self):
return ' '.join(self.args)
def parse_requirements(strs):
"""Yield ``Requirement`` objects for each specification in `strs`
`strs` must be a string, or a (possibly-nested) iterable thereof.
"""
# create a steppable iterator, so we can handle \-continuations
lines = iter(yield_lines(strs))
def scan_list(ITEM, TERMINATOR, line, p, groups, item_name):
items = []
while not TERMINATOR(line, p):
if CONTINUE(line, p):
try:
line = next(lines)
p = 0
except StopIteration:
msg = "\\ must not appear on the last nonblank line"
raise RequirementParseError(msg)
match = ITEM(line, p)
if not match:
msg = "Expected " + item_name + " in"
raise RequirementParseError(msg, line, "at", line[p:])
items.append(match.group(*groups))
p = match.end()
match = COMMA(line, p)
if match:
# skip the comma
p = match.end()
elif not TERMINATOR(line, p):
msg = "Expected ',' or end-of-list in"
raise RequirementParseError(msg, line, "at", line[p:])
match = TERMINATOR(line, p)
# skip the terminator, if any
if match:
p = match.end()
return line, p, items
for line in lines:
match = DISTRO(line)
if not match:
raise RequirementParseError("Missing distribution spec", line)
project_name = match.group(1)
p = match.end()
extras = []
match = OBRACKET(line, p)
if match:
p = match.end()
line, p, extras = scan_list(
DISTRO, CBRACKET, line, p, (1,), "'extra' name"
)
line, p, specs = scan_list(VERSION, LINE_END, line, p, (1, 2),
"version spec")
specs = [(op, val) for op, val in specs]
yield Requirement(project_name, specs, extras)
class Requirement:
def __init__(self, project_name, specs, extras):
"""DO NOT CALL THIS UNDOCUMENTED METHOD; use Requirement.parse()!"""
self.unsafe_name, project_name = project_name, safe_name(project_name)
self.project_name, self.key = project_name, project_name.lower()
self.specifier = packaging.specifiers.SpecifierSet(
",".join(["".join([x, y]) for x, y in specs])
)
self.specs = specs
self.extras = tuple(map(safe_extra, extras))
self.hashCmp = (
self.key,
self.specifier,
frozenset(self.extras),
)
self.__hash = hash(self.hashCmp)
def __str__(self):
extras = ','.join(self.extras)
if extras:
extras = '[%s]' % extras
return '%s%s%s' % (self.project_name, extras, self.specifier)
def __eq__(self, other):
return (
isinstance(other, Requirement) and
self.hashCmp == other.hashCmp
)
def __ne__(self, other):
return not self == other
def __contains__(self, item):
if isinstance(item, Distribution):
if item.key != self.key:
return False
item = item.version
# Allow prereleases always in order to match the previous behavior of
# this method. In the future this should be smarter and follow PEP 440
# more accurately.
return self.specifier.contains(item, prereleases=True)
def __hash__(self):
return self.__hash
def __repr__(self): return "Requirement.parse(%r)" % str(self)
@staticmethod
def parse(s):
req, = parse_requirements(s)
return req
def _get_mro(cls):
"""Get an mro for a type or classic class"""
if not isinstance(cls, type):
class cls(cls, object): pass
return cls.__mro__[1:]
return cls.__mro__
def _find_adapter(registry, ob):
"""Return an adapter factory for `ob` from `registry`"""
for t in _get_mro(getattr(ob, '__class__', type(ob))):
if t in registry:
return registry[t]
def ensure_directory(path):
"""Ensure that the parent directory of `path` exists"""
dirname = os.path.dirname(path)
if not os.path.isdir(dirname):
os.makedirs(dirname)
def _bypass_ensure_directory(path):
"""Sandbox-bypassing version of ensure_directory()"""
if not WRITE_SUPPORT:
raise IOError('"os.mkdir" not supported on this platform.')
dirname, filename = split(path)
if dirname and filename and not isdir(dirname):
_bypass_ensure_directory(dirname)
mkdir(dirname, 0o755)
def split_sections(s):
"""Split a string or iterable thereof into (section, content) pairs
Each ``section`` is a stripped version of the section header ("[section]")
and each ``content`` is a list of stripped lines excluding blank lines and
comment-only lines. If there are any such lines before the first section
header, they're returned in a first ``section`` of ``None``.
"""
section = None
content = []
for line in yield_lines(s):
if line.startswith("["):
if line.endswith("]"):
if section or content:
yield section, content
section = line[1:-1].strip()
content = []
else:
raise ValueError("Invalid section heading", line)
else:
content.append(line)
# wrap up last segment
yield section, content
def _mkstemp(*args,**kw):
old_open = os.open
try:
# temporarily bypass sandboxing
os.open = os_open
return tempfile.mkstemp(*args,**kw)
finally:
# and then put it back
os.open = old_open
# Silence the PEP440Warning by default, so that end users don't get hit by it
# randomly just because they use pkg_resources. We want to append the rule
# because we want earlier uses of filterwarnings to take precedence over this
# one.
warnings.filterwarnings("ignore", category=PEP440Warning, append=True)
# from jaraco.functools 1.3
def _call_aside(f, *args, **kwargs):
f(*args, **kwargs)
return f
@_call_aside
def _initialize(g=globals()):
"Set up global resource manager (deliberately not state-saved)"
manager = ResourceManager()
g['_manager'] = manager
for name in dir(manager):
if not name.startswith('_'):
g[name] = getattr(manager, name)
@_call_aside
def _initialize_master_working_set():
"""
Prepare the master working set and make the ``require()``
API available.
This function has explicit effects on the global state
of pkg_resources. It is intended to be invoked once at
the initialization of this module.
Invocation by other packages is unsupported and done
at their own risk.
"""
working_set = WorkingSet._build_master()
_declare_state('object', working_set=working_set)
require = working_set.require
iter_entry_points = working_set.iter_entry_points
add_activation_listener = working_set.subscribe
run_script = working_set.run_script
# backward compatibility
run_main = run_script
# Activate all distributions already on sys.path, and ensure that
# all distributions added to the working set in the future (e.g. by
# calling ``require()``) will get activated as well.
add_activation_listener(lambda dist: dist.activate())
working_set.entries=[]
# match order
list(map(working_set.add_entry, sys.path))
globals().update(locals())
| gpl-2.0 |
donald-pinckney/EM-Simulator | EM Sim/EM Sim/py_lib/formatter.py | 252 | 14911 | """Generic output formatting.
Formatter objects transform an abstract flow of formatting events into
specific output events on writer objects. Formatters manage several stack
structures to allow various properties of a writer object to be changed and
restored; writers need not be able to handle relative changes nor any sort
of ``change back'' operation. Specific writer properties which may be
controlled via formatter objects are horizontal alignment, font, and left
margin indentations. A mechanism is provided which supports providing
arbitrary, non-exclusive style settings to a writer as well. Additional
interfaces facilitate formatting events which are not reversible, such as
paragraph separation.
Writer objects encapsulate device interfaces. Abstract devices, such as
file formats, are supported as well as physical devices. The provided
implementations all work with abstract devices. The interface makes
available mechanisms for setting the properties which formatter objects
manage and inserting data into the output.
"""
import sys
AS_IS = None
class NullFormatter:
"""A formatter which does nothing.
If the writer parameter is omitted, a NullWriter instance is created.
No methods of the writer are called by NullFormatter instances.
Implementations should inherit from this class if implementing a writer
interface but don't need to inherit any implementation.
"""
def __init__(self, writer=None):
if writer is None:
writer = NullWriter()
self.writer = writer
def end_paragraph(self, blankline): pass
def add_line_break(self): pass
def add_hor_rule(self, *args, **kw): pass
def add_label_data(self, format, counter, blankline=None): pass
def add_flowing_data(self, data): pass
def add_literal_data(self, data): pass
def flush_softspace(self): pass
def push_alignment(self, align): pass
def pop_alignment(self): pass
def push_font(self, x): pass
def pop_font(self): pass
def push_margin(self, margin): pass
def pop_margin(self): pass
def set_spacing(self, spacing): pass
def push_style(self, *styles): pass
def pop_style(self, n=1): pass
def assert_line_data(self, flag=1): pass
class AbstractFormatter:
"""The standard formatter.
This implementation has demonstrated wide applicability to many writers,
and may be used directly in most circumstances. It has been used to
implement a full-featured World Wide Web browser.
"""
# Space handling policy: blank spaces at the boundary between elements
# are handled by the outermost context. "Literal" data is not checked
# to determine context, so spaces in literal data are handled directly
# in all circumstances.
def __init__(self, writer):
self.writer = writer # Output device
self.align = None # Current alignment
self.align_stack = [] # Alignment stack
self.font_stack = [] # Font state
self.margin_stack = [] # Margin state
self.spacing = None # Vertical spacing state
self.style_stack = [] # Other state, e.g. color
self.nospace = 1 # Should leading space be suppressed
self.softspace = 0 # Should a space be inserted
self.para_end = 1 # Just ended a paragraph
self.parskip = 0 # Skipped space between paragraphs?
self.hard_break = 1 # Have a hard break
self.have_label = 0
def end_paragraph(self, blankline):
if not self.hard_break:
self.writer.send_line_break()
self.have_label = 0
if self.parskip < blankline and not self.have_label:
self.writer.send_paragraph(blankline - self.parskip)
self.parskip = blankline
self.have_label = 0
self.hard_break = self.nospace = self.para_end = 1
self.softspace = 0
def add_line_break(self):
if not (self.hard_break or self.para_end):
self.writer.send_line_break()
self.have_label = self.parskip = 0
self.hard_break = self.nospace = 1
self.softspace = 0
def add_hor_rule(self, *args, **kw):
if not self.hard_break:
self.writer.send_line_break()
self.writer.send_hor_rule(*args, **kw)
self.hard_break = self.nospace = 1
self.have_label = self.para_end = self.softspace = self.parskip = 0
def add_label_data(self, format, counter, blankline = None):
if self.have_label or not self.hard_break:
self.writer.send_line_break()
if not self.para_end:
self.writer.send_paragraph((blankline and 1) or 0)
if isinstance(format, str):
self.writer.send_label_data(self.format_counter(format, counter))
else:
self.writer.send_label_data(format)
self.nospace = self.have_label = self.hard_break = self.para_end = 1
self.softspace = self.parskip = 0
def format_counter(self, format, counter):
label = ''
for c in format:
if c == '1':
label = label + ('%d' % counter)
elif c in 'aA':
if counter > 0:
label = label + self.format_letter(c, counter)
elif c in 'iI':
if counter > 0:
label = label + self.format_roman(c, counter)
else:
label = label + c
return label
def format_letter(self, case, counter):
label = ''
while counter > 0:
counter, x = divmod(counter-1, 26)
# This makes a strong assumption that lowercase letters
# and uppercase letters form two contiguous blocks, with
# letters in order!
s = chr(ord(case) + x)
label = s + label
return label
def format_roman(self, case, counter):
ones = ['i', 'x', 'c', 'm']
fives = ['v', 'l', 'd']
label, index = '', 0
# This will die of IndexError when counter is too big
while counter > 0:
counter, x = divmod(counter, 10)
if x == 9:
label = ones[index] + ones[index+1] + label
elif x == 4:
label = ones[index] + fives[index] + label
else:
if x >= 5:
s = fives[index]
x = x-5
else:
s = ''
s = s + ones[index]*x
label = s + label
index = index + 1
if case == 'I':
return label.upper()
return label
def add_flowing_data(self, data):
if not data: return
prespace = data[:1].isspace()
postspace = data[-1:].isspace()
data = " ".join(data.split())
if self.nospace and not data:
return
elif prespace or self.softspace:
if not data:
if not self.nospace:
self.softspace = 1
self.parskip = 0
return
if not self.nospace:
data = ' ' + data
self.hard_break = self.nospace = self.para_end = \
self.parskip = self.have_label = 0
self.softspace = postspace
self.writer.send_flowing_data(data)
def add_literal_data(self, data):
if not data: return
if self.softspace:
self.writer.send_flowing_data(" ")
self.hard_break = data[-1:] == '\n'
self.nospace = self.para_end = self.softspace = \
self.parskip = self.have_label = 0
self.writer.send_literal_data(data)
def flush_softspace(self):
if self.softspace:
self.hard_break = self.para_end = self.parskip = \
self.have_label = self.softspace = 0
self.nospace = 1
self.writer.send_flowing_data(' ')
def push_alignment(self, align):
if align and align != self.align:
self.writer.new_alignment(align)
self.align = align
self.align_stack.append(align)
else:
self.align_stack.append(self.align)
def pop_alignment(self):
if self.align_stack:
del self.align_stack[-1]
if self.align_stack:
self.align = align = self.align_stack[-1]
self.writer.new_alignment(align)
else:
self.align = None
self.writer.new_alignment(None)
def push_font(self, font):
size, i, b, tt = font
if self.softspace:
self.hard_break = self.para_end = self.softspace = 0
self.nospace = 1
self.writer.send_flowing_data(' ')
if self.font_stack:
csize, ci, cb, ctt = self.font_stack[-1]
if size is AS_IS: size = csize
if i is AS_IS: i = ci
if b is AS_IS: b = cb
if tt is AS_IS: tt = ctt
font = (size, i, b, tt)
self.font_stack.append(font)
self.writer.new_font(font)
def pop_font(self):
if self.font_stack:
del self.font_stack[-1]
if self.font_stack:
font = self.font_stack[-1]
else:
font = None
self.writer.new_font(font)
def push_margin(self, margin):
self.margin_stack.append(margin)
fstack = filter(None, self.margin_stack)
if not margin and fstack:
margin = fstack[-1]
self.writer.new_margin(margin, len(fstack))
def pop_margin(self):
if self.margin_stack:
del self.margin_stack[-1]
fstack = filter(None, self.margin_stack)
if fstack:
margin = fstack[-1]
else:
margin = None
self.writer.new_margin(margin, len(fstack))
def set_spacing(self, spacing):
self.spacing = spacing
self.writer.new_spacing(spacing)
def push_style(self, *styles):
if self.softspace:
self.hard_break = self.para_end = self.softspace = 0
self.nospace = 1
self.writer.send_flowing_data(' ')
for style in styles:
self.style_stack.append(style)
self.writer.new_styles(tuple(self.style_stack))
def pop_style(self, n=1):
del self.style_stack[-n:]
self.writer.new_styles(tuple(self.style_stack))
def assert_line_data(self, flag=1):
self.nospace = self.hard_break = not flag
self.para_end = self.parskip = self.have_label = 0
class NullWriter:
"""Minimal writer interface to use in testing & inheritance.
A writer which only provides the interface definition; no actions are
taken on any methods. This should be the base class for all writers
which do not need to inherit any implementation methods.
"""
def __init__(self): pass
def flush(self): pass
def new_alignment(self, align): pass
def new_font(self, font): pass
def new_margin(self, margin, level): pass
def new_spacing(self, spacing): pass
def new_styles(self, styles): pass
def send_paragraph(self, blankline): pass
def send_line_break(self): pass
def send_hor_rule(self, *args, **kw): pass
def send_label_data(self, data): pass
def send_flowing_data(self, data): pass
def send_literal_data(self, data): pass
class AbstractWriter(NullWriter):
"""A writer which can be used in debugging formatters, but not much else.
Each method simply announces itself by printing its name and
arguments on standard output.
"""
def new_alignment(self, align):
print "new_alignment(%r)" % (align,)
def new_font(self, font):
print "new_font(%r)" % (font,)
def new_margin(self, margin, level):
print "new_margin(%r, %d)" % (margin, level)
def new_spacing(self, spacing):
print "new_spacing(%r)" % (spacing,)
def new_styles(self, styles):
print "new_styles(%r)" % (styles,)
def send_paragraph(self, blankline):
print "send_paragraph(%r)" % (blankline,)
def send_line_break(self):
print "send_line_break()"
def send_hor_rule(self, *args, **kw):
print "send_hor_rule()"
def send_label_data(self, data):
print "send_label_data(%r)" % (data,)
def send_flowing_data(self, data):
print "send_flowing_data(%r)" % (data,)
def send_literal_data(self, data):
print "send_literal_data(%r)" % (data,)
class DumbWriter(NullWriter):
"""Simple writer class which writes output on the file object passed in
as the file parameter or, if file is omitted, on standard output. The
output is simply word-wrapped to the number of columns specified by
the maxcol parameter. This class is suitable for reflowing a sequence
of paragraphs.
"""
def __init__(self, file=None, maxcol=72):
self.file = file or sys.stdout
self.maxcol = maxcol
NullWriter.__init__(self)
self.reset()
def reset(self):
self.col = 0
self.atbreak = 0
def send_paragraph(self, blankline):
self.file.write('\n'*blankline)
self.col = 0
self.atbreak = 0
def send_line_break(self):
self.file.write('\n')
self.col = 0
self.atbreak = 0
def send_hor_rule(self, *args, **kw):
self.file.write('\n')
self.file.write('-'*self.maxcol)
self.file.write('\n')
self.col = 0
self.atbreak = 0
def send_literal_data(self, data):
self.file.write(data)
i = data.rfind('\n')
if i >= 0:
self.col = 0
data = data[i+1:]
data = data.expandtabs()
self.col = self.col + len(data)
self.atbreak = 0
def send_flowing_data(self, data):
if not data: return
atbreak = self.atbreak or data[0].isspace()
col = self.col
maxcol = self.maxcol
write = self.file.write
for word in data.split():
if atbreak:
if col + len(word) >= maxcol:
write('\n')
col = 0
else:
write(' ')
col = col + 1
write(word)
col = col + len(word)
atbreak = 1
self.col = col
self.atbreak = data[-1].isspace()
def test(file = None):
w = DumbWriter()
f = AbstractFormatter(w)
if file is not None:
fp = open(file)
elif sys.argv[1:]:
fp = open(sys.argv[1])
else:
fp = sys.stdin
for line in fp:
if line == '\n':
f.end_paragraph(1)
else:
f.add_flowing_data(line)
f.end_paragraph(0)
if __name__ == '__main__':
test()
| apache-2.0 |
kkk669/mxnet | python/mxnet/visualization.py | 12 | 13772 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# coding: utf-8
# pylint: disable=invalid-name, too-many-locals, fixme
# pylint: disable=too-many-branches, too-many-statements
# pylint: disable=too-many-arguments
# pylint: disable=dangerous-default-value
"""Visualization module"""
from __future__ import absolute_import
import re
import copy
import json
from .symbol import Symbol
def _str2tuple(string):
"""Convert shape string to list, internal use only.
Parameters
----------
string: str
Shape string.
Returns
-------
list of str
Represents shape.
"""
return re.findall(r"\d+", string)
def print_summary(symbol, shape=None, line_length=120, positions=[.44, .64, .74, 1.]):
"""Convert symbol for detail information.
Parameters
----------
symbol: Symbol
Symbol to be visualized.
shape: dict
A dict of shapes, str->shape (tuple), given input shapes.
line_length: int
Rotal length of printed lines
positions: list
Relative or absolute positions of log elements in each line.
Returns
------
None
"""
if not isinstance(symbol, Symbol):
raise TypeError("symbol must be Symbol")
show_shape = False
if shape is not None:
show_shape = True
interals = symbol.get_internals()
_, out_shapes, _ = interals.infer_shape(**shape)
if out_shapes is None:
raise ValueError("Input shape is incomplete")
shape_dict = dict(zip(interals.list_outputs(), out_shapes))
conf = json.loads(symbol.tojson())
nodes = conf["nodes"]
heads = set(conf["heads"][0])
if positions[-1] <= 1:
positions = [int(line_length * p) for p in positions]
# header names for the different log elements
to_display = ['Layer (type)', 'Output Shape', 'Param #', 'Previous Layer']
def print_row(fields, positions):
"""Print format row.
Parameters
----------
fields: list
Information field.
positions: list
Field length ratio.
Returns
------
None
"""
line = ''
for i, field in enumerate(fields):
line += str(field)
line = line[:positions[i]]
line += ' ' * (positions[i] - len(line))
print(line)
print('_' * line_length)
print_row(to_display, positions)
print('=' * line_length)
def print_layer_summary(node, out_shape):
"""print layer information
Parameters
----------
node: dict
Node information.
out_shape: dict
Node shape information.
Returns
------
Node total parameters.
"""
op = node["op"]
pre_node = []
pre_filter = 0
if op != "null":
inputs = node["inputs"]
for item in inputs:
input_node = nodes[item[0]]
input_name = input_node["name"]
if input_node["op"] != "null" or item[0] in heads:
# add precede
pre_node.append(input_name)
if show_shape:
if input_node["op"] != "null":
key = input_name + "_output"
else:
key = input_name
if key in shape_dict:
shape = shape_dict[key][1:]
pre_filter = pre_filter + int(shape[0])
cur_param = 0
if op == 'Convolution':
if ("no_bias" in node["attrs"]) and int(node["attrs"]["no_bias"]):
cur_param = pre_filter * int(node["attrs"]["num_filter"])
for k in _str2tuple(node["attrs"]["kernel"]):
cur_param *= int(k)
else:
cur_param = pre_filter * int(node["attrs"]["num_filter"])
for k in _str2tuple(node["attrs"]["kernel"]):
cur_param *= int(k)
cur_param += int(node["attrs"]["num_filter"])
elif op == 'FullyConnected':
if ("no_bias" in node["attrs"]) and int(node["attrs"]["no_bias"]):
cur_param = pre_filter * (int(node["attrs"]["num_hidden"]))
else:
cur_param = (pre_filter+1) * (int(node["attrs"]["num_hidden"]))
elif op == 'BatchNorm':
key = node["name"] + "_output"
if show_shape:
num_filter = shape_dict[key][1]
cur_param = int(num_filter) * 2
if not pre_node:
first_connection = ''
else:
first_connection = pre_node[0]
fields = [node['name'] + '(' + op + ')',
"x".join([str(x) for x in out_shape]),
cur_param,
first_connection]
print_row(fields, positions)
if len(pre_node) > 1:
for i in range(1, len(pre_node)):
fields = ['', '', '', pre_node[i]]
print_row(fields, positions)
return cur_param
total_params = 0
for i, node in enumerate(nodes):
out_shape = []
op = node["op"]
if op == "null" and i > 0:
continue
if op != "null" or i in heads:
if show_shape:
if op != "null":
key = node["name"] + "_output"
else:
key = node["name"]
if key in shape_dict:
out_shape = shape_dict[key][1:]
total_params += print_layer_summary(nodes[i], out_shape)
if i == len(nodes) - 1:
print('=' * line_length)
else:
print('_' * line_length)
print('Total params: %s' % total_params)
print('_' * line_length)
def plot_network(symbol, title="plot", save_format='pdf', shape=None, node_attrs={},
hide_weights=True):
"""Creates a visualization (Graphviz digraph object) of the given computation graph.
Graphviz must be installed for this function to work.
Parameters
----------
title: str, optional
Title of the generated visualization.
symbol: Symbol
A symbol from the computation graph. The generated digraph will visualize the part
of the computation graph required to compute `symbol`.
shape: dict, optional
Specifies the shape of the input tensors. If specified, the visualization will include
the shape of the tensors between the nodes. `shape` is a dictionary mapping
input symbol names (str) to the corresponding tensor shape (tuple).
node_attrs: dict, optional
Specifies the attributes for nodes in the generated visualization. `node_attrs` is
a dictionary of Graphviz attribute names and values. For example,
``node_attrs={"shape":"oval","fixedsize":"false"}``
will use oval shape for nodes and allow variable sized nodes in the visualization.
hide_weights: bool, optional
If True (default), then inputs with names of form *_weight (corresponding to weight
tensors) or *_bias (corresponding to bias vectors) will be hidden for a cleaner
visualization.
Returns
-------
dot: Digraph
A Graphviz digraph object visualizing the computation graph to compute `symbol`.
Example
-------
>>> net = mx.sym.Variable('data')
>>> net = mx.sym.FullyConnected(data=net, name='fc1', num_hidden=128)
>>> net = mx.sym.Activation(data=net, name='relu1', act_type="relu")
>>> net = mx.sym.FullyConnected(data=net, name='fc2', num_hidden=10)
>>> net = mx.sym.SoftmaxOutput(data=net, name='out')
>>> digraph = mx.viz.plot_network(net, shape={'data':(100,200)},
... node_attrs={"fixedsize":"false"})
>>> digraph.view()
"""
# todo add shape support
try:
from graphviz import Digraph
except:
raise ImportError("Draw network requires graphviz library")
if not isinstance(symbol, Symbol):
raise TypeError("symbol must be a Symbol")
draw_shape = False
if shape is not None:
draw_shape = True
interals = symbol.get_internals()
_, out_shapes, _ = interals.infer_shape(**shape)
if out_shapes is None:
raise ValueError("Input shape is incomplete")
shape_dict = dict(zip(interals.list_outputs(), out_shapes))
conf = json.loads(symbol.tojson())
nodes = conf["nodes"]
# default attributes of node
node_attr = {"shape": "box", "fixedsize": "true",
"width": "1.3", "height": "0.8034", "style": "filled"}
# merge the dict provided by user and the default one
node_attr.update(node_attrs)
dot = Digraph(name=title, format=save_format)
# color map
cm = ("#8dd3c7", "#fb8072", "#ffffb3", "#bebada", "#80b1d3",
"#fdb462", "#b3de69", "#fccde5")
def looks_like_weight(name):
"""Internal helper to figure out if node should be hidden with `hide_weights`.
"""
if name.endswith("_weight"):
return True
if name.endswith("_bias"):
return True
if name.endswith("_beta") or name.endswith("_gamma") or \
name.endswith("_moving_var") or name.endswith("_moving_mean"):
return True
return False
# make nodes
hidden_nodes = set()
for node in nodes:
op = node["op"]
name = node["name"]
# input data
attr = copy.deepcopy(node_attr)
label = name
if op == "null":
if looks_like_weight(node["name"]):
if hide_weights:
hidden_nodes.add(node["name"])
# else we don't render a node, but
# don't add it to the hidden_nodes set
# so it gets rendered as an empty oval
continue
attr["shape"] = "oval" # inputs get their own shape
label = node["name"]
attr["fillcolor"] = cm[0]
elif op == "Convolution":
label = r"Convolution\n%s/%s, %s" % ("x".join(_str2tuple(node["attrs"]["kernel"])),
"x".join(_str2tuple(node["attrs"]["stride"]))
if "stride" in node["attrs"] else "1",
node["attrs"]["num_filter"])
attr["fillcolor"] = cm[1]
elif op == "FullyConnected":
label = r"FullyConnected\n%s" % node["attrs"]["num_hidden"]
attr["fillcolor"] = cm[1]
elif op == "BatchNorm":
attr["fillcolor"] = cm[3]
elif op == "Activation" or op == "LeakyReLU":
label = r"%s\n%s" % (op, node["attrs"]["act_type"])
attr["fillcolor"] = cm[2]
elif op == "Pooling":
label = r"Pooling\n%s, %s/%s" % (node["attrs"]["pool_type"],
"x".join(_str2tuple(node["attrs"]["kernel"])),
"x".join(_str2tuple(node["attrs"]["stride"]))
if "stride" in node["attrs"] else "1")
attr["fillcolor"] = cm[4]
elif op == "Concat" or op == "Flatten" or op == "Reshape":
attr["fillcolor"] = cm[5]
elif op == "Softmax":
attr["fillcolor"] = cm[6]
else:
attr["fillcolor"] = cm[7]
if op == "Custom":
label = node["attrs"]["op_type"]
dot.node(name=name, label=label, **attr)
# add edges
for node in nodes: # pylint: disable=too-many-nested-blocks
op = node["op"]
name = node["name"]
if op == "null":
continue
else:
inputs = node["inputs"]
for item in inputs:
input_node = nodes[item[0]]
input_name = input_node["name"]
if input_name not in hidden_nodes:
attr = {"dir": "back", 'arrowtail':'open'}
# add shapes
if draw_shape:
if input_node["op"] != "null":
key = input_name + "_output"
if "attrs" in input_node:
params = input_node["attrs"]
if "num_outputs" in params:
key += str(int(params["num_outputs"]) - 1)
shape = shape_dict[key][1:]
label = "x".join([str(x) for x in shape])
attr["label"] = label
else:
key = input_name
shape = shape_dict[key][1:]
label = "x".join([str(x) for x in shape])
attr["label"] = label
dot.edge(tail_name=name, head_name=input_name, **attr)
return dot
| apache-2.0 |
acimmarusti/isl_exercises | chap3/chap3ex8.py | 1 | 1315 | from __future__ import print_function, division
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from pandas.tools.plotting import scatter_matrix
import statsmodels.formula.api as smf
#from sklearn.linear_model import LinearRegression
#import scipy, scipy.stats
#from statsmodels.sandbox.regression.predstd import wls_prediction_std
from statsmodels.stats.outliers_influence import variance_inflation_factor, summary_table
filename = '../Auto.csv'
data = pd.read_csv(filename, na_values='?').dropna()
#Quantitative and qualitative predictors#
print(data.dtypes)
#Simple linear regression#
slinreg = smf.ols('mpg ~ horsepower', data=data).fit()
print(slinreg.summary())
st, fitdat, ss2 = summary_table(slinreg, alpha=0.05)
fittedvalues = fitdat[:,2]
predict_mean_se = fitdat[:,3]
predict_mean_ci_low, predict_mean_ci_upp = fitdat[:,4:6].T
predict_ci_low, predict_ci_upp = fitdat[:,6:8].T
x = data['horsepower']
y = data['mpg']
#Residuals#
resd1 = y - fittedvalues
f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
ax1.plot(x, y, 'o')
ax1.plot(x, fittedvalues, 'g-')
ax1.plot(x, predict_ci_low, 'r--')
ax1.plot(x, predict_ci_upp, 'r--')
ax1.plot(x, predict_mean_ci_low, 'b--')
ax1.plot(x, predict_mean_ci_upp, 'b--')
ax2.plot(resd1, fittedvalues, 'o')
plt.show()
| gpl-3.0 |
Kwentar/ImageDownloader | vk.py | 1 | 7993 | import json
import random
from urllib.error import URLError
from urllib.parse import urlencode
from urllib.request import urlopen, http, Request
import time
from datetime import date
from Profiler import Profiler
import __setup_photo__ as setup
class VkError(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
class VkUser:
def __init__(self, uid, name, last_name, day_b, month_b, sex, city_id, age=-1, year_b=-1):
self.uid = uid
self.name = name
self.last_name = last_name
self.day_b = day_b
self.month_b = month_b
if year_b == -1:
year_b = date.today().year - age
if month_b < date.today().month or month_b == date.today().month and day_b < date.today().day:
year_b -= 1
self.year_b = year_b
self.sex = sex
self.city_id = city_id
def __str__(self):
return ";".join([self.uid, self.name, self.last_name,
self.day_b.__str__(), self.month_b.__str__(),
self.year_b.__str__(), self.sex.__str__(),
self.city_id.__str__()])
def get_age(self):
return date.today().year - self.year_b
class Vk:
tokens = setup.user_tokens
curr_token = ''
p = Profiler()
@staticmethod
def check_time(value=0.5):
if Vk.p.get_time() < value:
time.sleep(value)
Vk.p.start()
@staticmethod
def set_token(token):
Vk.tokens.clear()
Vk.tokens.append(token)
@staticmethod
def get_token():
while True:
el = random.choice(Vk.tokens)
if el != Vk.curr_token:
test_url = 'https://api.vk.com/method/getProfiles?uid=66748&v=5.103&access_token=' + el
Vk.check_time(1)
try:
response = urlopen(test_url).read()
result = json.loads(response.decode('utf-8'))
if 'response' in result.keys():
print('now I use the ' + el + ' token')
Vk.curr_token = el
return el
except http.client.BadStatusLine as err_:
print("".join(['ERROR Vk.get_token', err_.__str__()]))
raise VkError('all tokens are invalid: ' + result['error']['error_msg'].__str__())
@staticmethod
def call_api(method, params):
Vk.check_time()
while not Vk.curr_token:
Vk.get_token()
if isinstance(params, list):
params_list = params[:]
elif isinstance(params, dict):
params_list = params.items()
else:
params_list = [params]
params_list += [('access_token', Vk.curr_token), ('v', '5.103')]
url = 'https://api.vk.com/method/%s?%s' % (method, urlencode(params_list))
try:
req = Request(url=url, headers={'User-agent': random.choice(setup.user_agents)})
response = urlopen(req).read()
result = json.loads(response.decode('utf-8'))
try:
if 'response' in result.keys():
return result['response']
else:
raise VkError('no response on answer: ' + result['error']['error_msg'].__str__())
except VkError as err_:
print(err_.value)
Vk.curr_token = Vk.get_token()
# Vk.call_api(method, params)
except URLError as err_:
print('URLError: ' + err_.errno.__str__() + ", " + err_.reason.__str__())
except http.client.BadStatusLine as err_:
print("".join(['ERROR Vk.call_api', err_.__str__()]))
except ConnectionResetError as err_:
print("".join(['ERROR ConnectionResetError', err_.__str__()]))
except ConnectionAbortedError as err_:
print("".join(['ERROR ConnectionAbortedError', err_.__str__()]))
return list()
@staticmethod
def get_uids(age, month, day, city_id, fields='sex'):
search_q = list()
search_q.append(('offset', '0'))
search_q.append(('count', '300'))
search_q.append(('city', city_id))
search_q.append(('fields', fields))
search_q.append(('age_from', age))
search_q.append(('age_to', age))
search_q.append(('has_photo', '1'))
search_q.append(('birth_day', day))
search_q.append(('birth_month', month))
r = Vk.call_api('users.search', search_q)
count = r['count']
users = list()
for el in r['items']:
if 'id' in el.keys() and not el['is_closed']:
user = VkUser(uid=el['id'].__str__(), name=el['first_name'],
last_name=el['last_name'], sex=el['sex'],
day_b=day, month_b=month, age=age, city_id=city_id)
users.append(user)
if count > 1000:
Vk.warning('''Count more than 1000, count = {}, age = {},
month = {}, day = {}'''.format(count, age, month, day))
return users
@staticmethod
def create_user_from_response(response):
if 'user_id' in response.keys():
uid = response['user_id'].__str__()
elif 'uid' in response.keys():
uid = response['uid'].__str__()
else:
return None
if 'deactivated' in response.keys():
return None
last_name = 'None'
sex = 'None'
name = 'None'
city_id = 'None'
day, month, age = [0, 0, 0]
if 'last_name' in response.keys():
last_name = response['last_name'].__str__()
if 'first_name' in response.keys():
name = response['first_name'].__str__()
if 'sex' in response.keys():
sex = response['sex'].__str__()
if 'city' in response.keys():
city_id = response['city'].__str__()
if 'bdate' in response.keys():
bdate = response['bdate'].__str__().split('.')
if len(bdate) > 2:
day, month, age = map(int, bdate)
age = date.today().year - age
else:
day, month = map(int, bdate)
user = VkUser(uid=uid, name=name, last_name=last_name, sex=sex, day_b=day,
month_b=month, age=age, city_id=city_id)
return user
@staticmethod
def get_user_info(uid, fields='city,bdate,sex'):
search_q = list()
search_q.append(('user_id', uid))
search_q.append(('fields', fields))
r = Vk.call_api('users.get', search_q)
for el in r:
user = Vk.create_user_from_response(el)
if user is not None:
return user
@staticmethod
def get_friends(uid, fields='city,bdate,sex'):
search_q = list()
search_q.append(('user_id', uid))
search_q.append(('offset', '0'))
search_q.append(('count', '1000'))
search_q.append(('fields', fields))
r = Vk.call_api('friends.get', search_q)
count = len(r)
users = list()
for el in r:
user = Vk.create_user_from_response(el)
if user is not None:
users.append(user)
if count > 1000:
Vk.warning('Count more than 1000')
return users
@staticmethod
def get_profile_photos(id_):
q = list()
q.append(('owner_id', id_))
q.append(('count', '10'))
q.append(('rev', '1'))
q.append(('extended', '1'))
q.append(('photos_size', '0'))
r = Vk.call_api('photos.getAll', q)
images = []
for photo in r['items']:
max_photo = max(photo['sizes'], key=lambda x: x['width']*x['height'])
images.append(max_photo['url'])
return images
@staticmethod
def warning(msg):
print(msg)
| mit |
svirt/tp-libvirt | libvirt/tests/src/virsh_cmd/filter/virsh_nwfilter_dumpxml.py | 4 | 3574 | import logging
from autotest.client.shared import error
from virttest import virsh
from virttest import libvirt_xml
from provider import libvirt_version
def check_list(uuid, name):
"""
Return True if filter found in nwfilter-list
:param uuid: filter uuid
:param name: filter name
:return: True if found, False if not found
"""
cmd_result = virsh.nwfilter_list(options="",
ignore_status=True, debug=True)
output = cmd_result.stdout.strip().split('\n')
for i in range(2, len(output)):
if output[i].split() == [uuid, name]:
return True
return False
def run(test, params, env):
"""
Test command: virsh nwfilter-dumpxml.
1) Prepare parameters.
2) Run dumpxml command.
3) Check result.
"""
# Prepare parameters
filter_name = params.get("dumpxml_filter_name", "")
options_ref = params.get("dumpxml_options_ref", "")
status_error = params.get("status_error", "no")
# acl polkit params
uri = params.get("virsh_uri")
unprivileged_user = params.get('unprivileged_user')
if unprivileged_user:
if unprivileged_user.count('EXAMPLE'):
unprivileged_user = 'testacl'
if not libvirt_version.version_compare(1, 1, 1):
if params.get('setup_libvirt_polkit') == 'yes':
raise error.TestNAError("API acl test not supported in current"
" libvirt version.")
virsh_dargs = {'ignore_status': True, 'debug': True}
if params.get('setup_libvirt_polkit') == 'yes':
virsh_dargs['unprivileged_user'] = unprivileged_user
virsh_dargs['uri'] = uri
# Run command
cmd_result = virsh.nwfilter_dumpxml(filter_name, options=options_ref,
**virsh_dargs)
output = cmd_result.stdout.strip()
status = cmd_result.exit_status
# Check result
if status_error == "yes":
if status == 0:
raise error.TestFail("Run successfully with wrong command.")
elif status_error == "no":
if status:
raise error.TestFail("Run failed with right command.")
# Get uuid and name from output xml and compare with nwfilter-list
# output
new_filter = libvirt_xml.NwfilterXML()
new_filter['xml'] = output
uuid = new_filter.uuid
name = new_filter.filter_name
if check_list(uuid, name):
logging.debug("The filter with uuid %s and name %s" % (uuid, name) +
" from nwfilter-dumpxml was found in"
" nwfilter-list output")
else:
raise error.TestFail("The uuid %s with name %s from" % (uuid, name) +
" nwfilter-dumpxml did not match with"
" nwfilter-list output")
# Run command second time with uuid
cmd_result = virsh.nwfilter_dumpxml(uuid, options=options_ref,
**virsh_dargs)
output1 = cmd_result.stdout.strip()
status1 = cmd_result.exit_status
if status_error == "yes":
if status1 == 0:
raise error.TestFail("Run successfully with wrong command.")
elif status_error == "no":
if status1:
raise error.TestFail("Run failed with right command.")
if output1 != output:
raise error.TestFail("nwfilter dumpxml output was different" +
" between using filter uuid and name")
| gpl-2.0 |
mapennell/ansible | test/units/mock/loader.py | 50 | 2876 | # (c) 2012-2014, Michael DeHaan <michael.dehaan@gmail.com>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
# Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
from ansible.errors import AnsibleParserError
from ansible.parsing import DataLoader
class DictDataLoader(DataLoader):
def __init__(self, file_mapping=dict()):
assert type(file_mapping) == dict
self._file_mapping = file_mapping
self._build_known_directories()
super(DictDataLoader, self).__init__()
def load_from_file(self, path):
if path in self._file_mapping:
return self.load(self._file_mapping[path], path)
return None
def _get_file_contents(self, path):
if path in self._file_mapping:
return (self._file_mapping[path], False)
else:
raise AnsibleParserError("file not found: %s" % path)
def path_exists(self, path):
return path in self._file_mapping or path in self._known_directories
def is_file(self, path):
return path in self._file_mapping
def is_directory(self, path):
return path in self._known_directories
def list_directory(self, path):
return [x for x in self._known_directories]
def _add_known_directory(self, directory):
if directory not in self._known_directories:
self._known_directories.append(directory)
def _build_known_directories(self):
self._known_directories = []
for path in self._file_mapping:
dirname = os.path.dirname(path)
while dirname not in ('/', ''):
self._add_known_directory(dirname)
dirname = os.path.dirname(dirname)
def push(self, path, content):
rebuild_dirs = False
if path not in self._file_mapping:
rebuild_dirs = True
self._file_mapping[path] = content
if rebuild_dirs:
self._build_known_directories()
def pop(self, path):
if path in self._file_mapping:
del self._file_mapping[path]
self._build_known_directories()
def clear(self):
self._file_mapping = dict()
self._known_directories = []
| gpl-3.0 |
strint/tensorflow | tensorflow/examples/image_retraining/retrain.py | 19 | 43141 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Simple transfer learning with an Inception v3 architecture model which
displays summaries in TensorBoard.
This example shows how to take a Inception v3 architecture model trained on
ImageNet images, and train a new top layer that can recognize other classes of
images.
The top layer receives as input a 2048-dimensional vector for each image. We
train a softmax layer on top of this representation. Assuming the softmax layer
contains N labels, this corresponds to learning N + 2048*N model parameters
corresponding to the learned biases and weights.
Here's an example, which assumes you have a folder containing class-named
subfolders, each full of images for each label. The example folder flower_photos
should have a structure like this:
~/flower_photos/daisy/photo1.jpg
~/flower_photos/daisy/photo2.jpg
...
~/flower_photos/rose/anotherphoto77.jpg
...
~/flower_photos/sunflower/somepicture.jpg
The subfolder names are important, since they define what label is applied to
each image, but the filenames themselves don't matter. Once your images are
prepared, you can run the training with a command like this:
bazel build tensorflow/examples/image_retraining:retrain && \
bazel-bin/tensorflow/examples/image_retraining/retrain \
--image_dir ~/flower_photos
You can replace the image_dir argument with any folder containing subfolders of
images. The label for each image is taken from the name of the subfolder it's
in.
This produces a new model file that can be loaded and run by any TensorFlow
program, for example the label_image sample code.
To use with TensorBoard:
By default, this script will log summaries to /tmp/retrain_logs directory
Visualize the summaries with this command:
tensorboard --logdir /tmp/retrain_logs
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
from datetime import datetime
import hashlib
import os.path
import random
import re
import struct
import sys
import tarfile
import numpy as np
from six.moves import urllib
import tensorflow as tf
from tensorflow.python.framework import graph_util
from tensorflow.python.framework import tensor_shape
from tensorflow.python.platform import gfile
from tensorflow.python.util import compat
FLAGS = None
# These are all parameters that are tied to the particular model architecture
# we're using for Inception v3. These include things like tensor names and their
# sizes. If you want to adapt this script to work with another model, you will
# need to update these to reflect the values in the network you're using.
# pylint: disable=line-too-long
DATA_URL = 'http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz'
# pylint: enable=line-too-long
BOTTLENECK_TENSOR_NAME = 'pool_3/_reshape:0'
BOTTLENECK_TENSOR_SIZE = 2048
MODEL_INPUT_WIDTH = 299
MODEL_INPUT_HEIGHT = 299
MODEL_INPUT_DEPTH = 3
JPEG_DATA_TENSOR_NAME = 'DecodeJpeg/contents:0'
RESIZED_INPUT_TENSOR_NAME = 'ResizeBilinear:0'
MAX_NUM_IMAGES_PER_CLASS = 2 ** 27 - 1 # ~134M
def create_image_lists(image_dir, testing_percentage, validation_percentage):
"""Builds a list of training images from the file system.
Analyzes the sub folders in the image directory, splits them into stable
training, testing, and validation sets, and returns a data structure
describing the lists of images for each label and their paths.
Args:
image_dir: String path to a folder containing subfolders of images.
testing_percentage: Integer percentage of the images to reserve for tests.
validation_percentage: Integer percentage of images reserved for validation.
Returns:
A dictionary containing an entry for each label subfolder, with images split
into training, testing, and validation sets within each label.
"""
if not gfile.Exists(image_dir):
print("Image directory '" + image_dir + "' not found.")
return None
result = {}
sub_dirs = [x[0] for x in gfile.Walk(image_dir)]
# The root directory comes first, so skip it.
is_root_dir = True
for sub_dir in sub_dirs:
if is_root_dir:
is_root_dir = False
continue
extensions = ['jpg', 'jpeg', 'JPG', 'JPEG']
file_list = []
dir_name = os.path.basename(sub_dir)
if dir_name == image_dir:
continue
print("Looking for images in '" + dir_name + "'")
for extension in extensions:
file_glob = os.path.join(image_dir, dir_name, '*.' + extension)
file_list.extend(gfile.Glob(file_glob))
if not file_list:
print('No files found')
continue
if len(file_list) < 20:
print('WARNING: Folder has less than 20 images, which may cause issues.')
elif len(file_list) > MAX_NUM_IMAGES_PER_CLASS:
print('WARNING: Folder {} has more than {} images. Some images will '
'never be selected.'.format(dir_name, MAX_NUM_IMAGES_PER_CLASS))
label_name = re.sub(r'[^a-z0-9]+', ' ', dir_name.lower())
training_images = []
testing_images = []
validation_images = []
for file_name in file_list:
base_name = os.path.basename(file_name)
# We want to ignore anything after '_nohash_' in the file name when
# deciding which set to put an image in, the data set creator has a way of
# grouping photos that are close variations of each other. For example
# this is used in the plant disease data set to group multiple pictures of
# the same leaf.
hash_name = re.sub(r'_nohash_.*$', '', file_name)
# This looks a bit magical, but we need to decide whether this file should
# go into the training, testing, or validation sets, and we want to keep
# existing files in the same set even if more files are subsequently
# added.
# To do that, we need a stable way of deciding based on just the file name
# itself, so we do a hash of that and then use that to generate a
# probability value that we use to assign it.
hash_name_hashed = hashlib.sha1(compat.as_bytes(hash_name)).hexdigest()
percentage_hash = ((int(hash_name_hashed, 16) %
(MAX_NUM_IMAGES_PER_CLASS + 1)) *
(100.0 / MAX_NUM_IMAGES_PER_CLASS))
if percentage_hash < validation_percentage:
validation_images.append(base_name)
elif percentage_hash < (testing_percentage + validation_percentage):
testing_images.append(base_name)
else:
training_images.append(base_name)
result[label_name] = {
'dir': dir_name,
'training': training_images,
'testing': testing_images,
'validation': validation_images,
}
return result
def get_image_path(image_lists, label_name, index, image_dir, category):
""""Returns a path to an image for a label at the given index.
Args:
image_lists: Dictionary of training images for each label.
label_name: Label string we want to get an image for.
index: Int offset of the image we want. This will be moduloed by the
available number of images for the label, so it can be arbitrarily large.
image_dir: Root folder string of the subfolders containing the training
images.
category: Name string of set to pull images from - training, testing, or
validation.
Returns:
File system path string to an image that meets the requested parameters.
"""
if label_name not in image_lists:
tf.logging.fatal('Label does not exist %s.', label_name)
label_lists = image_lists[label_name]
if category not in label_lists:
tf.logging.fatal('Category does not exist %s.', category)
category_list = label_lists[category]
if not category_list:
tf.logging.fatal('Label %s has no images in the category %s.',
label_name, category)
mod_index = index % len(category_list)
base_name = category_list[mod_index]
sub_dir = label_lists['dir']
full_path = os.path.join(image_dir, sub_dir, base_name)
return full_path
def get_bottleneck_path(image_lists, label_name, index, bottleneck_dir,
category):
""""Returns a path to a bottleneck file for a label at the given index.
Args:
image_lists: Dictionary of training images for each label.
label_name: Label string we want to get an image for.
index: Integer offset of the image we want. This will be moduloed by the
available number of images for the label, so it can be arbitrarily large.
bottleneck_dir: Folder string holding cached files of bottleneck values.
category: Name string of set to pull images from - training, testing, or
validation.
Returns:
File system path string to an image that meets the requested parameters.
"""
return get_image_path(image_lists, label_name, index, bottleneck_dir,
category) + '.txt'
def create_inception_graph():
""""Creates a graph from saved GraphDef file and returns a Graph object.
Returns:
Graph holding the trained Inception network, and various tensors we'll be
manipulating.
"""
with tf.Session() as sess:
model_filename = os.path.join(
FLAGS.model_dir, 'classify_image_graph_def.pb')
with gfile.FastGFile(model_filename, 'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
bottleneck_tensor, jpeg_data_tensor, resized_input_tensor = (
tf.import_graph_def(graph_def, name='', return_elements=[
BOTTLENECK_TENSOR_NAME, JPEG_DATA_TENSOR_NAME,
RESIZED_INPUT_TENSOR_NAME]))
return sess.graph, bottleneck_tensor, jpeg_data_tensor, resized_input_tensor
def run_bottleneck_on_image(sess, image_data, image_data_tensor,
bottleneck_tensor):
"""Runs inference on an image to extract the 'bottleneck' summary layer.
Args:
sess: Current active TensorFlow Session.
image_data: String of raw JPEG data.
image_data_tensor: Input data layer in the graph.
bottleneck_tensor: Layer before the final softmax.
Returns:
Numpy array of bottleneck values.
"""
bottleneck_values = sess.run(
bottleneck_tensor,
{image_data_tensor: image_data})
bottleneck_values = np.squeeze(bottleneck_values)
return bottleneck_values
def maybe_download_and_extract():
"""Download and extract model tar file.
If the pretrained model we're using doesn't already exist, this function
downloads it from the TensorFlow.org website and unpacks it into a directory.
"""
dest_directory = FLAGS.model_dir
if not os.path.exists(dest_directory):
os.makedirs(dest_directory)
filename = DATA_URL.split('/')[-1]
filepath = os.path.join(dest_directory, filename)
if not os.path.exists(filepath):
def _progress(count, block_size, total_size):
sys.stdout.write('\r>> Downloading %s %.1f%%' %
(filename,
float(count * block_size) / float(total_size) * 100.0))
sys.stdout.flush()
filepath, _ = urllib.request.urlretrieve(DATA_URL,
filepath,
_progress)
print()
statinfo = os.stat(filepath)
print('Successfully downloaded', filename, statinfo.st_size, 'bytes.')
tarfile.open(filepath, 'r:gz').extractall(dest_directory)
def ensure_dir_exists(dir_name):
"""Makes sure the folder exists on disk.
Args:
dir_name: Path string to the folder we want to create.
"""
if not os.path.exists(dir_name):
os.makedirs(dir_name)
def write_list_of_floats_to_file(list_of_floats , file_path):
"""Writes a given list of floats to a binary file.
Args:
list_of_floats: List of floats we want to write to a file.
file_path: Path to a file where list of floats will be stored.
"""
s = struct.pack('d' * BOTTLENECK_TENSOR_SIZE, *list_of_floats)
with open(file_path, 'wb') as f:
f.write(s)
def read_list_of_floats_from_file(file_path):
"""Reads list of floats from a given file.
Args:
file_path: Path to a file where list of floats was stored.
Returns:
Array of bottleneck values (list of floats).
"""
with open(file_path, 'rb') as f:
s = struct.unpack('d' * BOTTLENECK_TENSOR_SIZE, f.read())
return list(s)
bottleneck_path_2_bottleneck_values = {}
def create_bottleneck_file(bottleneck_path, image_lists, label_name, index,
image_dir, category, sess, jpeg_data_tensor, bottleneck_tensor):
print('Creating bottleneck at ' + bottleneck_path)
image_path = get_image_path(image_lists, label_name, index, image_dir, category)
if not gfile.Exists(image_path):
tf.logging.fatal('File does not exist %s', image_path)
image_data = gfile.FastGFile(image_path, 'rb').read()
bottleneck_values = run_bottleneck_on_image(sess, image_data, jpeg_data_tensor, bottleneck_tensor)
bottleneck_string = ','.join(str(x) for x in bottleneck_values)
with open(bottleneck_path, 'w') as bottleneck_file:
bottleneck_file.write(bottleneck_string)
def get_or_create_bottleneck(sess, image_lists, label_name, index, image_dir,
category, bottleneck_dir, jpeg_data_tensor,
bottleneck_tensor):
"""Retrieves or calculates bottleneck values for an image.
If a cached version of the bottleneck data exists on-disk, return that,
otherwise calculate the data and save it to disk for future use.
Args:
sess: The current active TensorFlow Session.
image_lists: Dictionary of training images for each label.
label_name: Label string we want to get an image for.
index: Integer offset of the image we want. This will be modulo-ed by the
available number of images for the label, so it can be arbitrarily large.
image_dir: Root folder string of the subfolders containing the training
images.
category: Name string of which set to pull images from - training, testing,
or validation.
bottleneck_dir: Folder string holding cached files of bottleneck values.
jpeg_data_tensor: The tensor to feed loaded jpeg data into.
bottleneck_tensor: The output tensor for the bottleneck values.
Returns:
Numpy array of values produced by the bottleneck layer for the image.
"""
label_lists = image_lists[label_name]
sub_dir = label_lists['dir']
sub_dir_path = os.path.join(bottleneck_dir, sub_dir)
ensure_dir_exists(sub_dir_path)
bottleneck_path = get_bottleneck_path(image_lists, label_name, index, bottleneck_dir, category)
if not os.path.exists(bottleneck_path):
create_bottleneck_file(bottleneck_path, image_lists, label_name, index, image_dir, category, sess, jpeg_data_tensor, bottleneck_tensor)
with open(bottleneck_path, 'r') as bottleneck_file:
bottleneck_string = bottleneck_file.read()
did_hit_error = False
try:
bottleneck_values = [float(x) for x in bottleneck_string.split(',')]
except:
print("Invalid float found, recreating bottleneck")
did_hit_error = True
if did_hit_error:
create_bottleneck_file(bottleneck_path, image_lists, label_name, index, image_dir, category, sess, jpeg_data_tensor, bottleneck_tensor)
with open(bottleneck_path, 'r') as bottleneck_file:
bottleneck_string = bottleneck_file.read()
# Allow exceptions to propagate here, since they shouldn't happen after a fresh creation
bottleneck_values = [float(x) for x in bottleneck_string.split(',')]
return bottleneck_values
def cache_bottlenecks(sess, image_lists, image_dir, bottleneck_dir,
jpeg_data_tensor, bottleneck_tensor):
"""Ensures all the training, testing, and validation bottlenecks are cached.
Because we're likely to read the same image multiple times (if there are no
distortions applied during training) it can speed things up a lot if we
calculate the bottleneck layer values once for each image during
preprocessing, and then just read those cached values repeatedly during
training. Here we go through all the images we've found, calculate those
values, and save them off.
Args:
sess: The current active TensorFlow Session.
image_lists: Dictionary of training images for each label.
image_dir: Root folder string of the subfolders containing the training
images.
bottleneck_dir: Folder string holding cached files of bottleneck values.
jpeg_data_tensor: Input tensor for jpeg data from file.
bottleneck_tensor: The penultimate output layer of the graph.
Returns:
Nothing.
"""
how_many_bottlenecks = 0
ensure_dir_exists(bottleneck_dir)
for label_name, label_lists in image_lists.items():
for category in ['training', 'testing', 'validation']:
category_list = label_lists[category]
for index, unused_base_name in enumerate(category_list):
get_or_create_bottleneck(sess, image_lists, label_name, index,
image_dir, category, bottleneck_dir,
jpeg_data_tensor, bottleneck_tensor)
how_many_bottlenecks += 1
if how_many_bottlenecks % 100 == 0:
print(str(how_many_bottlenecks) + ' bottleneck files created.')
def get_random_cached_bottlenecks(sess, image_lists, how_many, category,
bottleneck_dir, image_dir, jpeg_data_tensor,
bottleneck_tensor):
"""Retrieves bottleneck values for cached images.
If no distortions are being applied, this function can retrieve the cached
bottleneck values directly from disk for images. It picks a random set of
images from the specified category.
Args:
sess: Current TensorFlow Session.
image_lists: Dictionary of training images for each label.
how_many: If positive, a random sample of this size will be chosen.
If negative, all bottlenecks will be retrieved.
category: Name string of which set to pull from - training, testing, or
validation.
bottleneck_dir: Folder string holding cached files of bottleneck values.
image_dir: Root folder string of the subfolders containing the training
images.
jpeg_data_tensor: The layer to feed jpeg image data into.
bottleneck_tensor: The bottleneck output layer of the CNN graph.
Returns:
List of bottleneck arrays, their corresponding ground truths, and the
relevant filenames.
"""
class_count = len(image_lists.keys())
bottlenecks = []
ground_truths = []
filenames = []
if how_many >= 0:
# Retrieve a random sample of bottlenecks.
for unused_i in range(how_many):
label_index = random.randrange(class_count)
label_name = list(image_lists.keys())[label_index]
image_index = random.randrange(MAX_NUM_IMAGES_PER_CLASS + 1)
image_name = get_image_path(image_lists, label_name, image_index,
image_dir, category)
bottleneck = get_or_create_bottleneck(sess, image_lists, label_name,
image_index, image_dir, category,
bottleneck_dir, jpeg_data_tensor,
bottleneck_tensor)
ground_truth = np.zeros(class_count, dtype=np.float32)
ground_truth[label_index] = 1.0
bottlenecks.append(bottleneck)
ground_truths.append(ground_truth)
filenames.append(image_name)
else:
# Retrieve all bottlenecks.
for label_index, label_name in enumerate(image_lists.keys()):
for image_index, image_name in enumerate(
image_lists[label_name][category]):
image_name = get_image_path(image_lists, label_name, image_index,
image_dir, category)
bottleneck = get_or_create_bottleneck(sess, image_lists, label_name,
image_index, image_dir, category,
bottleneck_dir, jpeg_data_tensor,
bottleneck_tensor)
ground_truth = np.zeros(class_count, dtype=np.float32)
ground_truth[label_index] = 1.0
bottlenecks.append(bottleneck)
ground_truths.append(ground_truth)
filenames.append(image_name)
return bottlenecks, ground_truths, filenames
def get_random_distorted_bottlenecks(
sess, image_lists, how_many, category, image_dir, input_jpeg_tensor,
distorted_image, resized_input_tensor, bottleneck_tensor):
"""Retrieves bottleneck values for training images, after distortions.
If we're training with distortions like crops, scales, or flips, we have to
recalculate the full model for every image, and so we can't use cached
bottleneck values. Instead we find random images for the requested category,
run them through the distortion graph, and then the full graph to get the
bottleneck results for each.
Args:
sess: Current TensorFlow Session.
image_lists: Dictionary of training images for each label.
how_many: The integer number of bottleneck values to return.
category: Name string of which set of images to fetch - training, testing,
or validation.
image_dir: Root folder string of the subfolders containing the training
images.
input_jpeg_tensor: The input layer we feed the image data to.
distorted_image: The output node of the distortion graph.
resized_input_tensor: The input node of the recognition graph.
bottleneck_tensor: The bottleneck output layer of the CNN graph.
Returns:
List of bottleneck arrays and their corresponding ground truths.
"""
class_count = len(image_lists.keys())
bottlenecks = []
ground_truths = []
for unused_i in range(how_many):
label_index = random.randrange(class_count)
label_name = list(image_lists.keys())[label_index]
image_index = random.randrange(MAX_NUM_IMAGES_PER_CLASS + 1)
image_path = get_image_path(image_lists, label_name, image_index, image_dir,
category)
if not gfile.Exists(image_path):
tf.logging.fatal('File does not exist %s', image_path)
jpeg_data = gfile.FastGFile(image_path, 'rb').read()
# Note that we materialize the distorted_image_data as a numpy array before
# sending running inference on the image. This involves 2 memory copies and
# might be optimized in other implementations.
distorted_image_data = sess.run(distorted_image,
{input_jpeg_tensor: jpeg_data})
bottleneck = run_bottleneck_on_image(sess, distorted_image_data,
resized_input_tensor,
bottleneck_tensor)
ground_truth = np.zeros(class_count, dtype=np.float32)
ground_truth[label_index] = 1.0
bottlenecks.append(bottleneck)
ground_truths.append(ground_truth)
return bottlenecks, ground_truths
def should_distort_images(flip_left_right, random_crop, random_scale,
random_brightness):
"""Whether any distortions are enabled, from the input flags.
Args:
flip_left_right: Boolean whether to randomly mirror images horizontally.
random_crop: Integer percentage setting the total margin used around the
crop box.
random_scale: Integer percentage of how much to vary the scale by.
random_brightness: Integer range to randomly multiply the pixel values by.
Returns:
Boolean value indicating whether any distortions should be applied.
"""
return (flip_left_right or (random_crop != 0) or (random_scale != 0) or
(random_brightness != 0))
def add_input_distortions(flip_left_right, random_crop, random_scale,
random_brightness):
"""Creates the operations to apply the specified distortions.
During training it can help to improve the results if we run the images
through simple distortions like crops, scales, and flips. These reflect the
kind of variations we expect in the real world, and so can help train the
model to cope with natural data more effectively. Here we take the supplied
parameters and construct a network of operations to apply them to an image.
Cropping
~~~~~~~~
Cropping is done by placing a bounding box at a random position in the full
image. The cropping parameter controls the size of that box relative to the
input image. If it's zero, then the box is the same size as the input and no
cropping is performed. If the value is 50%, then the crop box will be half the
width and height of the input. In a diagram it looks like this:
< width >
+---------------------+
| |
| width - crop% |
| < > |
| +------+ |
| | | |
| | | |
| | | |
| +------+ |
| |
| |
+---------------------+
Scaling
~~~~~~~
Scaling is a lot like cropping, except that the bounding box is always
centered and its size varies randomly within the given range. For example if
the scale percentage is zero, then the bounding box is the same size as the
input and no scaling is applied. If it's 50%, then the bounding box will be in
a random range between half the width and height and full size.
Args:
flip_left_right: Boolean whether to randomly mirror images horizontally.
random_crop: Integer percentage setting the total margin used around the
crop box.
random_scale: Integer percentage of how much to vary the scale by.
random_brightness: Integer range to randomly multiply the pixel values by.
graph.
Returns:
The jpeg input layer and the distorted result tensor.
"""
jpeg_data = tf.placeholder(tf.string, name='DistortJPGInput')
decoded_image = tf.image.decode_jpeg(jpeg_data, channels=MODEL_INPUT_DEPTH)
decoded_image_as_float = tf.cast(decoded_image, dtype=tf.float32)
decoded_image_4d = tf.expand_dims(decoded_image_as_float, 0)
margin_scale = 1.0 + (random_crop / 100.0)
resize_scale = 1.0 + (random_scale / 100.0)
margin_scale_value = tf.constant(margin_scale)
resize_scale_value = tf.random_uniform(tensor_shape.scalar(),
minval=1.0,
maxval=resize_scale)
scale_value = tf.multiply(margin_scale_value, resize_scale_value)
precrop_width = tf.multiply(scale_value, MODEL_INPUT_WIDTH)
precrop_height = tf.multiply(scale_value, MODEL_INPUT_HEIGHT)
precrop_shape = tf.stack([precrop_height, precrop_width])
precrop_shape_as_int = tf.cast(precrop_shape, dtype=tf.int32)
precropped_image = tf.image.resize_bilinear(decoded_image_4d,
precrop_shape_as_int)
precropped_image_3d = tf.squeeze(precropped_image, squeeze_dims=[0])
cropped_image = tf.random_crop(precropped_image_3d,
[MODEL_INPUT_HEIGHT, MODEL_INPUT_WIDTH,
MODEL_INPUT_DEPTH])
if flip_left_right:
flipped_image = tf.image.random_flip_left_right(cropped_image)
else:
flipped_image = cropped_image
brightness_min = 1.0 - (random_brightness / 100.0)
brightness_max = 1.0 + (random_brightness / 100.0)
brightness_value = tf.random_uniform(tensor_shape.scalar(),
minval=brightness_min,
maxval=brightness_max)
brightened_image = tf.multiply(flipped_image, brightness_value)
distort_result = tf.expand_dims(brightened_image, 0, name='DistortResult')
return jpeg_data, distort_result
def variable_summaries(var):
"""Attach a lot of summaries to a Tensor (for TensorBoard visualization)."""
with tf.name_scope('summaries'):
mean = tf.reduce_mean(var)
tf.summary.scalar('mean', mean)
with tf.name_scope('stddev'):
stddev = tf.sqrt(tf.reduce_mean(tf.square(var - mean)))
tf.summary.scalar('stddev', stddev)
tf.summary.scalar('max', tf.reduce_max(var))
tf.summary.scalar('min', tf.reduce_min(var))
tf.summary.histogram('histogram', var)
def add_final_training_ops(class_count, final_tensor_name, bottleneck_tensor):
"""Adds a new softmax and fully-connected layer for training.
We need to retrain the top layer to identify our new classes, so this function
adds the right operations to the graph, along with some variables to hold the
weights, and then sets up all the gradients for the backward pass.
The set up for the softmax and fully-connected layers is based on:
https://tensorflow.org/versions/master/tutorials/mnist/beginners/index.html
Args:
class_count: Integer of how many categories of things we're trying to
recognize.
final_tensor_name: Name string for the new final node that produces results.
bottleneck_tensor: The output of the main CNN graph.
Returns:
The tensors for the training and cross entropy results, and tensors for the
bottleneck input and ground truth input.
"""
with tf.name_scope('input'):
bottleneck_input = tf.placeholder_with_default(
bottleneck_tensor, shape=[None, BOTTLENECK_TENSOR_SIZE],
name='BottleneckInputPlaceholder')
ground_truth_input = tf.placeholder(tf.float32,
[None, class_count],
name='GroundTruthInput')
# Organizing the following ops as `final_training_ops` so they're easier
# to see in TensorBoard
layer_name = 'final_training_ops'
with tf.name_scope(layer_name):
with tf.name_scope('weights'):
layer_weights = tf.Variable(tf.truncated_normal([BOTTLENECK_TENSOR_SIZE, class_count], stddev=0.001), name='final_weights')
variable_summaries(layer_weights)
with tf.name_scope('biases'):
layer_biases = tf.Variable(tf.zeros([class_count]), name='final_biases')
variable_summaries(layer_biases)
with tf.name_scope('Wx_plus_b'):
logits = tf.matmul(bottleneck_input, layer_weights) + layer_biases
tf.summary.histogram('pre_activations', logits)
final_tensor = tf.nn.softmax(logits, name=final_tensor_name)
tf.summary.histogram('activations', final_tensor)
with tf.name_scope('cross_entropy'):
cross_entropy = tf.nn.softmax_cross_entropy_with_logits(
labels=ground_truth_input, logits=logits)
with tf.name_scope('total'):
cross_entropy_mean = tf.reduce_mean(cross_entropy)
tf.summary.scalar('cross_entropy', cross_entropy_mean)
with tf.name_scope('train'):
train_step = tf.train.GradientDescentOptimizer(FLAGS.learning_rate).minimize(
cross_entropy_mean)
return (train_step, cross_entropy_mean, bottleneck_input, ground_truth_input,
final_tensor)
def add_evaluation_step(result_tensor, ground_truth_tensor):
"""Inserts the operations we need to evaluate the accuracy of our results.
Args:
result_tensor: The new final node that produces results.
ground_truth_tensor: The node we feed ground truth data
into.
Returns:
Tuple of (evaluation step, prediction).
"""
with tf.name_scope('accuracy'):
with tf.name_scope('correct_prediction'):
prediction = tf.argmax(result_tensor, 1)
correct_prediction = tf.equal(
prediction, tf.argmax(ground_truth_tensor, 1))
with tf.name_scope('accuracy'):
evaluation_step = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
tf.summary.scalar('accuracy', evaluation_step)
return evaluation_step, prediction
def main(_):
# Setup the directory we'll write summaries to for TensorBoard
if tf.gfile.Exists(FLAGS.summaries_dir):
tf.gfile.DeleteRecursively(FLAGS.summaries_dir)
tf.gfile.MakeDirs(FLAGS.summaries_dir)
# Set up the pre-trained graph.
maybe_download_and_extract()
graph, bottleneck_tensor, jpeg_data_tensor, resized_image_tensor = (
create_inception_graph())
# Look at the folder structure, and create lists of all the images.
image_lists = create_image_lists(FLAGS.image_dir, FLAGS.testing_percentage,
FLAGS.validation_percentage)
class_count = len(image_lists.keys())
if class_count == 0:
print('No valid folders of images found at ' + FLAGS.image_dir)
return -1
if class_count == 1:
print('Only one valid folder of images found at ' + FLAGS.image_dir +
' - multiple classes are needed for classification.')
return -1
# See if the command-line flags mean we're applying any distortions.
do_distort_images = should_distort_images(
FLAGS.flip_left_right, FLAGS.random_crop, FLAGS.random_scale,
FLAGS.random_brightness)
sess = tf.Session()
if do_distort_images:
# We will be applying distortions, so setup the operations we'll need.
distorted_jpeg_data_tensor, distorted_image_tensor = add_input_distortions(
FLAGS.flip_left_right, FLAGS.random_crop, FLAGS.random_scale,
FLAGS.random_brightness)
else:
# We'll make sure we've calculated the 'bottleneck' image summaries and
# cached them on disk.
cache_bottlenecks(sess, image_lists, FLAGS.image_dir, FLAGS.bottleneck_dir,
jpeg_data_tensor, bottleneck_tensor)
# Add the new layer that we'll be training.
(train_step, cross_entropy, bottleneck_input, ground_truth_input,
final_tensor) = add_final_training_ops(len(image_lists.keys()),
FLAGS.final_tensor_name,
bottleneck_tensor)
# Create the operations we need to evaluate the accuracy of our new layer.
evaluation_step, prediction = add_evaluation_step(
final_tensor, ground_truth_input)
# Merge all the summaries and write them out to /tmp/retrain_logs (by default)
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(FLAGS.summaries_dir + '/train',
sess.graph)
validation_writer = tf.summary.FileWriter(FLAGS.summaries_dir + '/validation')
# Set up all our weights to their initial default values.
init = tf.global_variables_initializer()
sess.run(init)
# Run the training for as many cycles as requested on the command line.
for i in range(FLAGS.how_many_training_steps):
# Get a batch of input bottleneck values, either calculated fresh every time
# with distortions applied, or from the cache stored on disk.
if do_distort_images:
train_bottlenecks, train_ground_truth = get_random_distorted_bottlenecks(
sess, image_lists, FLAGS.train_batch_size, 'training',
FLAGS.image_dir, distorted_jpeg_data_tensor,
distorted_image_tensor, resized_image_tensor, bottleneck_tensor)
else:
train_bottlenecks, train_ground_truth, _ = get_random_cached_bottlenecks(
sess, image_lists, FLAGS.train_batch_size, 'training',
FLAGS.bottleneck_dir, FLAGS.image_dir, jpeg_data_tensor,
bottleneck_tensor)
# Feed the bottlenecks and ground truth into the graph, and run a training
# step. Capture training summaries for TensorBoard with the `merged` op.
train_summary, _ = sess.run([merged, train_step],
feed_dict={bottleneck_input: train_bottlenecks,
ground_truth_input: train_ground_truth})
train_writer.add_summary(train_summary, i)
# Every so often, print out how well the graph is training.
is_last_step = (i + 1 == FLAGS.how_many_training_steps)
if (i % FLAGS.eval_step_interval) == 0 or is_last_step:
train_accuracy, cross_entropy_value = sess.run(
[evaluation_step, cross_entropy],
feed_dict={bottleneck_input: train_bottlenecks,
ground_truth_input: train_ground_truth})
print('%s: Step %d: Train accuracy = %.1f%%' % (datetime.now(), i,
train_accuracy * 100))
print('%s: Step %d: Cross entropy = %f' % (datetime.now(), i,
cross_entropy_value))
validation_bottlenecks, validation_ground_truth, _ = (
get_random_cached_bottlenecks(
sess, image_lists, FLAGS.validation_batch_size, 'validation',
FLAGS.bottleneck_dir, FLAGS.image_dir, jpeg_data_tensor,
bottleneck_tensor))
# Run a validation step and capture training summaries for TensorBoard
# with the `merged` op.
validation_summary, validation_accuracy = sess.run(
[merged, evaluation_step],
feed_dict={bottleneck_input: validation_bottlenecks,
ground_truth_input: validation_ground_truth})
validation_writer.add_summary(validation_summary, i)
print('%s: Step %d: Validation accuracy = %.1f%% (N=%d)' %
(datetime.now(), i, validation_accuracy * 100,
len(validation_bottlenecks)))
# We've completed all our training, so run a final test evaluation on
# some new images we haven't used before.
test_bottlenecks, test_ground_truth, test_filenames = (
get_random_cached_bottlenecks(sess, image_lists, FLAGS.test_batch_size,
'testing', FLAGS.bottleneck_dir,
FLAGS.image_dir, jpeg_data_tensor,
bottleneck_tensor))
test_accuracy, predictions = sess.run(
[evaluation_step, prediction],
feed_dict={bottleneck_input: test_bottlenecks,
ground_truth_input: test_ground_truth})
print('Final test accuracy = %.1f%% (N=%d)' % (
test_accuracy * 100, len(test_bottlenecks)))
if FLAGS.print_misclassified_test_images:
print('=== MISCLASSIFIED TEST IMAGES ===')
for i, test_filename in enumerate(test_filenames):
if predictions[i] != test_ground_truth[i].argmax():
print('%70s %s' % (test_filename,
list(image_lists.keys())[predictions[i]]))
# Write out the trained graph and labels with the weights stored as constants.
output_graph_def = graph_util.convert_variables_to_constants(
sess, graph.as_graph_def(), [FLAGS.final_tensor_name])
with gfile.FastGFile(FLAGS.output_graph, 'wb') as f:
f.write(output_graph_def.SerializeToString())
with gfile.FastGFile(FLAGS.output_labels, 'w') as f:
f.write('\n'.join(image_lists.keys()) + '\n')
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
'--image_dir',
type=str,
default='',
help='Path to folders of labeled images.'
)
parser.add_argument(
'--output_graph',
type=str,
default='/tmp/output_graph.pb',
help='Where to save the trained graph.'
)
parser.add_argument(
'--output_labels',
type=str,
default='/tmp/output_labels.txt',
help='Where to save the trained graph\'s labels.'
)
parser.add_argument(
'--summaries_dir',
type=str,
default='/tmp/retrain_logs',
help='Where to save summary logs for TensorBoard.'
)
parser.add_argument(
'--how_many_training_steps',
type=int,
default=4000,
help='How many training steps to run before ending.'
)
parser.add_argument(
'--learning_rate',
type=float,
default=0.01,
help='How large a learning rate to use when training.'
)
parser.add_argument(
'--testing_percentage',
type=int,
default=10,
help='What percentage of images to use as a test set.'
)
parser.add_argument(
'--validation_percentage',
type=int,
default=10,
help='What percentage of images to use as a validation set.'
)
parser.add_argument(
'--eval_step_interval',
type=int,
default=10,
help='How often to evaluate the training results.'
)
parser.add_argument(
'--train_batch_size',
type=int,
default=100,
help='How many images to train on at a time.'
)
parser.add_argument(
'--test_batch_size',
type=int,
default=-1,
help="""\
How many images to test on. This test set is only used once, to evaluate
the final accuracy of the model after training completes.
A value of -1 causes the entire test set to be used, which leads to more
stable results across runs.\
"""
)
parser.add_argument(
'--validation_batch_size',
type=int,
default=100,
help="""\
How many images to use in an evaluation batch. This validation set is
used much more often than the test set, and is an early indicator of how
accurate the model is during training.
A value of -1 causes the entire validation set to be used, which leads to
more stable results across training iterations, but may be slower on large
training sets.\
"""
)
parser.add_argument(
'--print_misclassified_test_images',
default=False,
help="""\
Whether to print out a list of all misclassified test images.\
""",
action='store_true'
)
parser.add_argument(
'--model_dir',
type=str,
default='/tmp/imagenet',
help="""\
Path to classify_image_graph_def.pb,
imagenet_synset_to_human_label_map.txt, and
imagenet_2012_challenge_label_map_proto.pbtxt.\
"""
)
parser.add_argument(
'--bottleneck_dir',
type=str,
default='/tmp/bottleneck',
help='Path to cache bottleneck layer values as files.'
)
parser.add_argument(
'--final_tensor_name',
type=str,
default='final_result',
help="""\
The name of the output classification layer in the retrained graph.\
"""
)
parser.add_argument(
'--flip_left_right',
default=False,
help="""\
Whether to randomly flip half of the training images horizontally.\
""",
action='store_true'
)
parser.add_argument(
'--random_crop',
type=int,
default=0,
help="""\
A percentage determining how much of a margin to randomly crop off the
training images.\
"""
)
parser.add_argument(
'--random_scale',
type=int,
default=0,
help="""\
A percentage determining how much to randomly scale up the size of the
training images by.\
"""
)
parser.add_argument(
'--random_brightness',
type=int,
default=0,
help="""\
A percentage determining how much to randomly multiply the training image
input pixels up or down by.\
"""
)
FLAGS, unparsed = parser.parse_known_args()
tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
| apache-2.0 |
Velociraptor85/pyload | module/plugins/hoster/NovafileCom.py | 8 | 1270 | # -*- coding: utf-8 -*-
#
# Test links:
# http://novafile.com/vfun4z6o2cit
# http://novafile.com/s6zrr5wemuz4
from ..internal.XFSHoster import XFSHoster
class NovafileCom(XFSHoster):
__name__ = "NovafileCom"
__type__ = "hoster"
__version__ = "0.11"
__status__ = "testing"
__pattern__ = r'http://(?:www\.)?novafile\.com/\w{12}'
__config__ = [("activated", "bool", "Activated", True),
("use_premium", "bool", "Use premium account if available", True),
("fallback", "bool",
"Fallback to free download if premium fails", True),
("chk_filesize", "bool", "Check file size", True),
("max_wait", "int", "Reconnect if waiting time is greater than minutes", 10)]
__description__ = """Novafile.com hoster plugin"""
__license__ = "GPLv3"
__authors__ = [("zoidberg", "zoidberg@mujmail.cz"),
("stickell", "l.stickell@yahoo.it")]
PLUGIN_DOMAIN = "novafile.com"
ERROR_PATTERN = r'class="alert.+?alert-separate".*?>\s*(?:<p>)?(.*?)\s*</'
WAIT_PATTERN = r'<p>Please wait <span id="count".*?>(\d+)</span> seconds</p>'
LINK_PATTERN = r'<a href="(http://s\d+\.novafile\.com/.*?)" class="btn btn-green">Download File</a>'
| gpl-3.0 |
naturali/tensorflow | tensorflow/examples/skflow/iris_run_config.py | 86 | 2087 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Example of DNNClassifier for Iris plant dataset, with run config."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from sklearn import cross_validation
from sklearn import datasets
from sklearn import metrics
import tensorflow as tf
def main(unused_argv):
# Load dataset.
iris = datasets.load_iris()
x_train, x_test, y_train, y_test = cross_validation.train_test_split(
iris.data, iris.target, test_size=0.2, random_state=42)
# You can define you configurations by providing a RunConfig object to
# estimator to control session configurations, e.g. num_cores
# and gpu_memory_fraction
run_config = tf.contrib.learn.estimators.RunConfig(
num_cores=3, gpu_memory_fraction=0.6)
# Build 3 layer DNN with 10, 20, 10 units respectively.
feature_columns = tf.contrib.learn.infer_real_valued_columns_from_input(
x_train)
classifier = tf.contrib.learn.DNNClassifier(feature_columns=feature_columns,
hidden_units=[10, 20, 10],
n_classes=3,
config=run_config)
# Fit and predict.
classifier.fit(x_train, y_train, steps=200)
predictions = list(classifier.predict(x_test, as_iterable=True))
score = metrics.accuracy_score(y_test, predictions)
print('Accuracy: {0:f}'.format(score))
if __name__ == '__main__':
tf.app.run()
| apache-2.0 |
googleapis/python-compute | google/cloud/compute_v1/services/target_instances/pagers.py | 1 | 5740 | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from typing import (
Any,
AsyncIterable,
Awaitable,
Callable,
Iterable,
Sequence,
Tuple,
Optional,
)
from google.cloud.compute_v1.types import compute
class AggregatedListPager:
"""A pager for iterating through ``aggregated_list`` requests.
This class thinly wraps an initial
:class:`google.cloud.compute_v1.types.TargetInstanceAggregatedList` object, and
provides an ``__iter__`` method to iterate through its
``items`` field.
If there are more pages, the ``__iter__`` method will make additional
``AggregatedList`` requests and continue to iterate
through the ``items`` field on the
corresponding responses.
All the usual :class:`google.cloud.compute_v1.types.TargetInstanceAggregatedList`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(
self,
method: Callable[..., compute.TargetInstanceAggregatedList],
request: compute.AggregatedListTargetInstancesRequest,
response: compute.TargetInstanceAggregatedList,
*,
metadata: Sequence[Tuple[str, str]] = ()
):
"""Instantiate the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.cloud.compute_v1.types.AggregatedListTargetInstancesRequest):
The initial request object.
response (google.cloud.compute_v1.types.TargetInstanceAggregatedList):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = compute.AggregatedListTargetInstancesRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
def pages(self) -> Iterable[compute.TargetInstanceAggregatedList]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = self._method(self._request, metadata=self._metadata)
yield self._response
def __iter__(self) -> Iterable[Tuple[str, compute.TargetInstancesScopedList]]:
for page in self.pages:
yield from page.items.items()
def get(self, key: str) -> Optional[compute.TargetInstancesScopedList]:
return self._response.items.get(key)
def __repr__(self) -> str:
return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
class ListPager:
"""A pager for iterating through ``list`` requests.
This class thinly wraps an initial
:class:`google.cloud.compute_v1.types.TargetInstanceList` object, and
provides an ``__iter__`` method to iterate through its
``items`` field.
If there are more pages, the ``__iter__`` method will make additional
``List`` requests and continue to iterate
through the ``items`` field on the
corresponding responses.
All the usual :class:`google.cloud.compute_v1.types.TargetInstanceList`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(
self,
method: Callable[..., compute.TargetInstanceList],
request: compute.ListTargetInstancesRequest,
response: compute.TargetInstanceList,
*,
metadata: Sequence[Tuple[str, str]] = ()
):
"""Instantiate the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.cloud.compute_v1.types.ListTargetInstancesRequest):
The initial request object.
response (google.cloud.compute_v1.types.TargetInstanceList):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = compute.ListTargetInstancesRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
def pages(self) -> Iterable[compute.TargetInstanceList]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = self._method(self._request, metadata=self._metadata)
yield self._response
def __iter__(self) -> Iterable[compute.TargetInstance]:
for page in self.pages:
yield from page.items
def __repr__(self) -> str:
return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
| apache-2.0 |