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[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n##\n# Copyright 2015 Telefónica Investigación y Desarrollo, S.A.U.\n# This file is part of openmano\n# All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n#\n# For those usages not covered by the Apache License, Version 2.0 please\n# contact with: nfvlabs@tid.es\n##\n\n'''\ntest_osconnector.py makes a test over osconnector.py (openstack connector)\ncredentiasl must be provided with environment bash variables or arguments\n'''\n__author__=\"Alfonso Tierno, Gerardo Garcia\"\n__date__ =\"$22-jun-2014 11:19:29$\"\n\n\nimport os\nimport sys\nimport getopt\n#import yaml\n#from jsonschema import validate as js_v, exceptions as js_e\n\n#load osconnector, insert openmano directory in the path\nr=sys.argv[0].rfind('/')\nif r<0:\n osconnector_path=\"..\"\nelse:\n osconnector_path=sys.argv[0][:r+1]+\"..\"\nsys.path.insert(0, osconnector_path)\n#sys.path.insert(0, '/home/atierno/workspace/openmano/openmano')\nimport osconnector\n\nversion=\"0.1\"\n\n\n\nif __name__==\"__main__\":\n global myvim\n global rollback_list\n #print \"(c) Copyright Telefonica\"\n rollback_list=[]\n try:\n opts, args = getopt.getopt(sys.argv[1:], \"hv:u:U:p:t:i:\",\n [\"username=\", \"help\", \"version=\", \"password=\", \"tenant=\", \"url=\",\"skip-admin-tests\",'image='])\n except getopt.GetoptError, err:\n # print help information and exit:\n print \"Error:\", err # will print something like \"option -a not recognized\"\n usage()\n sys.exit(2)\n \n creds = {}\n creds['version'] = os.environ.get('OS_VERSION', '2')\n creds['username'] = os.environ.get('OS_USERNAME')\n creds['password'] = os.environ.get('OS_PASSWORD')\n creds['auth_url'] = os.environ.get('OS_AUTH_URL')\n creds['tenant_name'] = os.environ.get('OS_TENANT_NAME')\n skip_admin_tests=False\n image_path=\"http://download.cirros-cloud.net/0.3.3/cirros-0.3.3-x86_64-disk.img\"\n for o, a in opts:\n if o in (\"-h\", \"--help\"):\n usage()\n sys.exit()\n elif o in (\"-v\", \"--version\"):\n creds['version']=a\n elif o in (\"-u\", \"--username\"):\n creds['username']=a\n elif o in (\"-p\", \"--password\"):\n creds['password']=a\n elif o in (\"-U\", \"--auth_url\"):\n creds['auth_url']=a\n elif o in (\"-t\", \"--tenant_name\"):\n creds['tenant_name']=a\n elif o in (\"-i\", \"--image\"):\n image_path=a\n elif o==\"--skip-admin-tests\":\n skip_admin_tests=True\n else:\n assert False, \"Unhandled option\"\n \n if creds['auth_url']==None:\n print \"you must provide openstack url with -U or bash OS_AUTH_URL\"\n sys.exit()\n print \"creds:\", creds\n \n\n try:\n print 'load osconnector class'.ljust(50),\n sys.stdout.flush()\n try:\n myvim=osconnector.osconnector(uuid=None, name='test-openstack', tenant=creds['tenant_name'], \n url=creds['auth_url'], url_admin=None,\n user=creds['username'], passwd=creds['password'],\n debug = False, config={'network_vlan_ranges':'physnet_sriov'} )\n print \" Ok\"\n except Exception, e:\n print \" Fail\"\n print str(type(e))[6:-1] + \": \"+ str(e) \n exit(-1)\n \n if not skip_admin_tests:\n tenant_name=\"tos-tenant\"\n print (\"creating new tenant '%s'\" % tenant_name).ljust(50),\n sys.stdout.flush()\n result,new_tenant=myvim.new_tenant(tenant_name, \"test tenant_description, trying a long description to get the limit. 2 trying a long description to get the limit. 3. trying a long description to get the limit.\")\n if result<0:\n print \" Fail\"\n print \" you can skip tenant creation with param'--skip-admin-tests'\"\n print \" VIM response:\", new_tenant\n exit(-1)\n else:\n print \" Ok\", new_tenant\n rollback_list.append((\"tenant\",tenant_name,new_tenant))\n\n user_name=\"tos-user\"\n print (\"creating new user '%s'\" % user_name).ljust(50),\n sys.stdout.flush()\n result,new_user=myvim.new_user(user_name, user_name, tenant_id=new_tenant)\n if result<0:\n print \" Fail\"\n print \" VIM response:\", new_user\n exit(-1)\n else:\n print \" Ok\", new_user\n rollback_list.append((\"user\",user_name,new_user))\n \n name=\"tos-fl1\"\n print (\"creating new flavor '%s'\"%name).ljust(50),\n sys.stdout.flush()\n flavor={}\n flavor['name']=name\n result,new_flavor1=myvim.new_tenant_flavor(flavor, True)\n if result<0:\n print \" Fail\"\n print \" VIM response:\", new_flavor1\n exit(-1)\n else:\n print \" Ok\", new_flavor1\n rollback_list.append((\"flavor\",name,new_flavor1))\n \n name=\"tos-cirros\"\n print (\"creating new image '%s'\"%name).ljust(50),\n sys.stdout.flush()\n image={}\n image['name']=name\n image['location']=image_path #\"/home/atierno/cirros-0.3.3-x86_64-disk.img\"\n result,new_image1=myvim.new_tenant_image(image)\n if result<0:\n print \" Fail\"\n print \" VIM response:\", new_image1\n exit(-1)\n else:\n print \" Ok\", new_image1\n rollback_list.append((\"image\",name, new_image1))\n\n if not skip_admin_tests:\n try:\n print 'changing credentials to new tenant'.ljust(50),\n sys.stdout.flush()\n myvim['tenant'] =tenant_name\n myvim['user']=user_name\n myvim['passwd']=user_name\n print \" Ok\"\n rollback_list.append((\"creds\", \"tenant\", creds[\"tenant_name\"]))\n rollback_list.append((\"creds\", \"user\", creds[\"username\"]))\n rollback_list.append((\"creds\", \"passwd\", creds[\"password\"]))\n except Exception, e:\n print \" Fail\"\n print \" Error setting osconnector to new tenant:\", str(type(e))[6:-1] + \": \"+ str(e)\n exit(-1)\n\n name=\"tos-net-bridge\"\n print (\"creating new net '%s'\"%name).ljust(50),\n sys.stdout.flush()\n result,new_net1=myvim.new_tenant_network(name, \"bridge\")\n if result<0:\n print \" Fail\"\n print \" VIM response:\", new_net1\n exit(-1)\n else:\n print \" Ok\", new_net1\n rollback_list.append((\"network\",name, new_net1))\n\n name=\"tos-vm-cloud\"\n print (\"creating new VM '%s'\"%name).ljust(50),\n sys.stdout.flush()\n result,new_vm1=myvim.new_tenant_vminstance(name, \"vm-cloud-description\", False,new_image1,new_flavor1,\n [{\"net_id\":new_net1, \"type\":\"virtio\"}] )\n if result<0:\n print \" Fail\"\n print \" VIM response:\", new_vm1\n exit(-1)\n else:\n print \" Ok\", new_vm1\n rollback_list.append((\"vm\",name, new_vm1))\n\n \n print 'DONE Ok'\n print \"Type ENTER to delete items\"\n raw_input('> ') \n exit() \n \n except KeyboardInterrupt:\n print \" Canceled!\"\n except SystemExit:\n pass\n if len(rollback_list):\n delete_items()\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

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[ { "content": "#!/usr/bin/env PYTHONUNBUFFERED=1 python\n# Copyright 2016, Kay Hayen, mailto:kay.hayen@gmail.com\n#\n# Part of \"Nuitka\", an optimizing Python compiler that is compatible and\n# integrates with CPython, but also works on its own.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n\n\"\"\" Make PyPI upload of Nuitka, and check success of it. \"\"\"\n\nfrom __future__ import print_function\n\nimport os\nimport subprocess\nimport time\nimport xmlrpclib\n\nnuitka_version = subprocess.check_output(\n \"./bin/nuitka --version\", shell = True\n).strip()\nbranch_name = subprocess.check_output(\n \"git name-rev --name-only HEAD\".split()\n).strip()\n\nassert branch_name == \"master\", branch_name\nassert \"pre\" not in nuitka_version and \"rc\" not in nuitka_version\n\n# Need to remove the contents from the Rest, or else PyPI will not render\n# it. Stupid but true.\ncontents = open(\"README.rst\", \"rb\").read()\ncontents = contents.replace(b\".. contents::\", b\"\")\nopen(\"README.rst\", \"wb\").write(contents)\ncontents = open(\"README.rst\", \"rb\").read()\nassert b\".. contents\" not in contents\n\nprint(\"Creating documentation.\")\nassert 0 == os.system(\"misc/make-doc.py\")\nprint(\"Creating source distribution and uploading it.\")\nassert 0 == os.system(\"python setup.py sdist upload\")\n\nfor _i in range(60):\n # Wait some time for PyPI to catch up with us. Without delay\n # the old version will still appear. Since this is running\n # in a Buildbot, we need not be optimal.\n time.sleep(5*60)\n\n pypi = xmlrpclib.ServerProxy(\"http://pypi.python.org/pypi\")\n pypi_versions = pypi.package_releases(\"Nuitka\")\n\n assert len(pypi_versions) == 1, pypi_versions\n if nuitka_version == pypi_versions[0]:\n break\n\n print(\"Version check failed:\", nuitka_version, pypi_versions)\n\nprint(\"Uploaded OK:\", pypi_versions[0])\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

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[ { "content": "#!/usr/bin/env python2\n\n# pylint: skip-file\n\n# (c) 2012, Marco Vito Moscaritolo <marco@agavee.com>\n#\n# This file is part of Ansible,\n#\n# Ansible is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# Ansible is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with Ansible. If not, see <http://www.gnu.org/licenses/>.\n\nimport sys\nimport re\nimport os\nimport ConfigParser\nfrom novaclient import client as nova_client\n\ntry:\n import json\nexcept ImportError:\n import simplejson as json\n\n###################################################\n# executed with no parameters, return the list of\n# all groups and hosts\n\nNOVA_CONFIG_FILES = [os.path.join(os.path.dirname(os.path.realpath(__file__)), \"nova.ini\"),\n os.path.expanduser(os.environ.get('ANSIBLE_CONFIG', \"~/nova.ini\")),\n \"/etc/ansible/nova.ini\"]\n\nNOVA_DEFAULTS = {\n 'auth_system': None,\n 'region_name': None,\n 'service_type': 'compute',\n}\n\n\n\n\n\n\n\n\n\n\n\n\n\nconfig = nova_load_config_file()\nif not config:\n sys.exit('Unable to find configfile in %s' % ', '.join(NOVA_CONFIG_FILES))\n\n# Load up connections info based on config and then environment\n# variables\nusername = (get_fallback(config, 'username') or\n os.environ.get('OS_USERNAME', None))\napi_key = (get_fallback(config, 'api_key') or\n os.environ.get('OS_PASSWORD', None))\nauth_url = (get_fallback(config, 'auth_url') or\n os.environ.get('OS_AUTH_URL', None))\nproject_id = (get_fallback(config, 'project_id') or\n os.environ.get('OS_TENANT_NAME', None))\nregion_name = (get_fallback(config, 'region_name') or\n os.environ.get('OS_REGION_NAME', None))\nauth_system = (get_fallback(config, 'auth_system') or\n os.environ.get('OS_AUTH_SYSTEM', None))\n\n# Determine what type of IP is preferred to return\nprefer_private = False\ntry:\n prefer_private = config.getboolean('openstack', 'prefer_private')\nexcept ConfigParser.NoOptionError:\n pass\n\nclient = nova_client.Client(\n version=config.get('openstack', 'version'),\n username=username,\n api_key=api_key,\n auth_url=auth_url,\n region_name=region_name,\n project_id=project_id,\n auth_system=auth_system,\n service_type=config.get('openstack', 'service_type'),\n)\n\n# Default or added list option\nif (len(sys.argv) == 2 and sys.argv[1] == '--list') or len(sys.argv) == 1:\n groups = {'_meta': {'hostvars': {}}}\n # Cycle on servers\n for server in client.servers.list():\n access_ip = get_ips(server)\n\n # Push to name group of 1\n push(groups, server.name, access_ip)\n\n # Run through each metadata item and add instance to it\n for key, value in server.metadata.iteritems():\n composed_key = to_safe('tag_{0}_{1}'.format(key, value))\n push(groups, composed_key, access_ip)\n\n # Do special handling of group for backwards compat\n # inventory groups\n group = server.metadata['group'] if 'group' in server.metadata else 'undefined'\n push(groups, group, access_ip)\n\n # Add vars to _meta key for performance optimization in\n # Ansible 1.3+\n groups['_meta']['hostvars'][access_ip] = get_metadata(server)\n\n # Return server list\n print(json.dumps(groups, sort_keys=True, indent=2))\n sys.exit(0)\n\n#####################################################\n# executed with a hostname as a parameter, return the\n# variables for that host\n\nelif len(sys.argv) == 3 and (sys.argv[1] == '--host'):\n results = {}\n ips = []\n for server in client.servers.list():\n if sys.argv[2] in (get_ips(server) or []):\n results = get_metadata(server)\n print(json.dumps(results, sort_keys=True, indent=2))\n sys.exit(0)\n\nelse:\n print \"usage: --list ..OR.. --host <hostname>\"\n sys.exit(1)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def nova_load_config_file():\n p = ConfigParser.SafeConfigParser(NOVA_DEFAULTS)\n\n for path in NOVA_CONFIG_FILES:\n if os.path.exists(path):\n p.read(path)\n return p\n\n return None", "metadata": "root.nova_load_config_file", "header": "['module', '___EOS___']", "index": 47 }, { "content": "def get_fallback(config, value, section=\"openstack\"):\n \"\"\"\n Get value from config object and return the value\n or false\n \"\"\"\n try:\n return config.get(section, value)\n except ConfigParser.NoOptionError:\n return False", "metadata": "root.get_fallback", "header": "['module', '___EOS___']", "index": 58 }, { "content": "def push(data, key, element):\n \"\"\"\n Assist in items to a dictionary of lists\n \"\"\"\n if (not element) or (not key):\n return\n\n if key in data:\n data[key].append(element)\n else:\n data[key] = [element]", "metadata": "root.push", "header": "['module', '___EOS___']", "index": 69 }, { "content": "def to_safe(word):\n '''\n Converts 'bad' characters in a string to underscores so they can\n be used as Ansible groups\n '''\n return re.sub(r\"[^A-Za-z0-9\\-]\", \"_\", word)", "metadata": "root.to_safe", "header": "['module', '___EOS___']", "index": 82 }, { "content": "def get_ips(server, access_ip=True):\n \"\"\"\n Returns a list of the server's IPs, or the preferred\n access IP\n \"\"\"\n private = []\n public = []\n address_list = []\n # Iterate through each servers network(s), get addresses and get type\n addresses = getattr(server, 'addresses', {})\n if len(addresses) > 0:\n for network in addresses.itervalues():\n for address in network:\n if address.get('OS-EXT-IPS:type', False) == 'fixed':\n private.append(address['addr'])\n elif address.get('OS-EXT-IPS:type', False) == 'floating':\n public.append(address['addr'])\n\n if not access_ip:\n address_list.append(server.accessIPv4)\n address_list.extend(private)\n address_list.extend(public)\n return address_list\n\n access_ip = None\n # Append group to list\n if server.accessIPv4:\n access_ip = server.accessIPv4\n if (not access_ip) and public and not (private and prefer_private):\n access_ip = public[0]\n if private and not access_ip:\n access_ip = private[0]\n\n return access_ip", "metadata": "root.get_ips", "header": "['module', '___EOS___']", "index": 90 }, { "content": "def get_metadata(server):\n \"\"\"Returns dictionary of all host metadata\"\"\"\n get_ips(server, False)\n results = {}\n for key in vars(server):\n # Extract value\n value = getattr(server, key)\n\n # Generate sanitized key\n key = 'os_' + re.sub(r\"[^A-Za-z0-9\\-]\", \"_\", key).lower()\n\n # Att value to instance result (exclude manager class)\n #TODO: maybe use value.__class__ or similar inside of key_name\n if key != 'os_manager':\n results[key] = value\n return results", "metadata": "root.get_metadata", "header": "['module', '___EOS___']", "index": 126 } ]

[]

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[ { "content": " def schedule(self, action, state=None):\n \"\"\"Schedules an action to be executed.\"\"\"\n\n scheduler = self\n disposable = SingleAssignmentDisposable()\n disposed = [False]\n\n def interval():\n if not disposed[0]:\n disposable.disposable = action(scheduler, state)\n\n self.loop.add_callback(interval)\n\n def dispose():\n # nonlocal\n disposed[0] = True\n\n return CompositeDisposable(disposable, Disposable(dispose))", "metadata": "root.IOLoopScheduler.schedule", "header": "['class', 'IOLoopScheduler', '(', 'Scheduler', ')', ':', '___EOS___']", "index": 18 } ]

[]

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[ { "content": "# -*- coding: utf-8 -*-\n'''\n :codeauthor: :email:`Erik Johnson <erik@saltstack.com>`\n'''\n\n# Import Python libs\nfrom __future__ import absolute_import\nimport os\nimport platform\n\n# Import Salt Testing Libs\nfrom salttesting import TestCase, skipIf\nfrom salttesting.helpers import ensure_in_syspath\nfrom salttesting.mock import (\n MagicMock,\n patch,\n NO_MOCK,\n NO_MOCK_REASON\n)\n\nensure_in_syspath('../../')\n\n# Import Salt Libs\nimport salt.utils\nfrom salt.grains import core\n\n# Globals\ncore.__salt__ = {}\n\n\n\n\nif __name__ == '__main__':\n from integration import run_tests\n run_tests(CoreGrainsTestCase, needs_daemon=False)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "@skipIf(NO_MOCK, NO_MOCK_REASON)\nclass CoreGrainsTestCase(TestCase):\n '''\n Test cases for core grains\n '''", "metadata": "root.CoreGrainsTestCase", "header": "['module', '___EOS___']", "index": 30 }, { "content": " @skipIf(not salt.utils.is_linux(), 'System is not Linux')\n def test_gnu_slash_linux_in_os_name(self):\n '''\n Test to return a list of all enabled services\n '''\n _path_exists_map = {\n '/proc/1/cmdline': False\n }\n _path_isfile_map = {}\n _cmd_run_map = {\n 'dpkg --print-architecture': 'amd64'\n }\n\n path_exists_mock = MagicMock(side_effect=lambda x: _path_exists_map[x])\n path_isfile_mock = MagicMock(\n side_effect=lambda x: _path_isfile_map.get(x, False)\n )\n cmd_run_mock = MagicMock(\n side_effect=lambda x: _cmd_run_map[x]\n )\n empty_mock = MagicMock(return_value={})\n\n orig_import = __import__\n\n def _import_mock(name, *args):\n if name == 'lsb_release':\n raise ImportError('No module named lsb_release')\n return orig_import(name, *args)\n\n # Skip the first if statement\n with patch.object(salt.utils, 'is_proxy',\n MagicMock(return_value=False)):\n # Skip the selinux/systemd stuff (not pertinent)\n with patch.object(core, '_linux_bin_exists',\n MagicMock(return_value=False)):\n # Skip the init grain compilation (not pertinent)\n with patch.object(os.path, 'exists', path_exists_mock):\n # Ensure that lsb_release fails to import\n with patch('__builtin__.__import__',\n side_effect=_import_mock):\n # Skip all the /etc/*-release stuff (not pertinent)\n with patch.object(os.path, 'isfile', path_isfile_mock):\n # Mock platform.linux_distribution to give us the\n # OS name that we want.\n distro_mock = MagicMock(\n return_value=('Debian GNU/Linux', '8.3', '')\n )\n with patch.object(\n platform,\n 'linux_distribution',\n distro_mock):\n # Make a bunch of functions return empty dicts,\n # we don't care about these grains for the\n # purposes of this test.\n with patch.object(\n core,\n '_linux_cpudata',\n empty_mock):\n with patch.object(\n core,\n '_linux_gpu_data',\n empty_mock):\n with patch.object(\n core,\n '_memdata',\n empty_mock):\n with patch.object(\n core,\n '_hw_data',\n empty_mock):\n with patch.object(\n core,\n '_virtual',\n empty_mock):\n with patch.object(\n core,\n '_ps',\n empty_mock):\n # Mock the osarch\n with patch.dict(\n core.__salt__,\n {'cmd.run': cmd_run_mock}):\n os_grains = core.os_data()\n\n self.assertEqual(os_grains.get('os_family'), 'Debian')", "metadata": "root.CoreGrainsTestCase.test_gnu_slash_linux_in_os_name", "header": "['class', 'CoreGrainsTestCase', '(', 'TestCase', ')', ':', '___EOS___']", "index": 35 } ]

[]

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[ { "content": "from __future__ import absolute_import\nfrom __future__ import print_function\nimport sys\nimport os\n\n# the next line can be removed after installation\nsys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))))\n\nfrom veriloggen import *\n\n\nif __name__ == '__main__':\n led = mkLed()\n # to_verilog() method is immuatable.\n # Hooked methods are called for the copied object to keep the internal state.\n dummy = led.to_verilog()\n verilog = led.to_verilog()\n print(verilog)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def mkLed():\n m = Module('blinkled')\n width = m.Parameter('WIDTH', 8)\n clk = m.Input('CLK')\n rst = m.Input('RST')\n led = m.OutputReg('LED', width, initval=0)\n count = m.Reg('count', 32, initval=0)\n \n seq = Seq(m, 'seq', clk, rst)\n\n seq.add( count.inc(), cond=(count<1024-1) )\n seq.add( count(0), cond=(count>=1024-1) )\n seq.add( led.inc(), cond=(count>=1024-1) ) \n \n #seq.make_always()\n # make_alway() is called when to_veirlog() is called.\n m.add_hook(seq.make_always, args=(), kwargs={})\n \n return m", "metadata": "root.mkLed", "header": "['module', '___EOS___']", "index": 10 } ]

[]

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[ { "content": " def test_cleans(self):\n \"\"\"\n \"\"\"", "metadata": "root.PositionModuleTests.test_cleans", "header": "['class', 'PositionModuleTests', '(', 'ModuleMixin', ',', 'TestCase', ')', ':', '___EOS___']", "index": 67 } ]

[]

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[ { "content": " def __init__(self, path, match=None, recursive=False, required=True,\n widget=None, label=None, initial=None, help_text=None,\n *args, **kwargs):\n self.path, self.match, self.recursive = path, match, recursive\n super(FilePathField, self).__init__(choices=(), required=required,\n widget=widget, label=label, initial=initial, help_text=help_text,\n *args, **kwargs)\n\n if self.required:\n self.choices = []\n else:\n self.choices = [(\"\", \"---------\")]\n\n if self.match is not None:\n self.match_re = re.compile(self.match)\n\n if recursive:\n for root, dirs, files in sorted(os.walk(self.path)):\n for f in files:\n if self.match is None or self.match_re.search(f):\n f = os.path.join(root, f)\n self.choices.append((f, f.replace(path, \"\", 1)))\n else:\n try:\n for f in sorted(os.listdir(self.path)):\n full_file = os.path.join(self.path, f)\n if os.path.isfile(full_file) and (self.match is None or self.match_re.search(f)):\n self.choices.append((full_file, f))\n except OSError:\n pass\n\n self.widget.choices = self.choices", "metadata": "root.FilePathField.__init__", "header": "['class', 'FilePathField', '(', 'ChoiceField', ')', ':', '___EOS___']", "index": 880 } ]

[]

[]

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[ { "content": "# coding=utf-8\n# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).\n# Licensed under the Apache License, Version 2.0 (see LICENSE).\n\nfrom __future__ import (absolute_import, division, generators, nested_scopes, print_function,\n unicode_literals, with_statement)\n\nimport logging\n\nfrom pants.build_graph.address_lookup_error import AddressLookupError\nfrom pants.source.payload_fields import DeferredSourcesField\nfrom pants.task.task import Task\n\n\nlogger = logging.getLogger(__name__)\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class DeferredSourcesMapper(Task):\n \"\"\"Map DeferredSourcesFields to files that produce the product 'unpacked_archives'.\n\n If you want a task to be able to map sources like this, make it require the 'deferred_sources'\n product.\n \"\"\"\n\n class SourcesTargetLookupError(AddressLookupError):\n \"\"\"Raised when the referenced target cannot be found in the build graph\"\"\"\n pass\n\n class NoUnpackedSourcesError(AddressLookupError):\n \"\"\"Raised when there are no files found unpacked from the archive\"\"\"\n pass\n\n\n", "metadata": "root.DeferredSourcesMapper", "header": "['module', '___EOS___']", "index": 17 }, { "content": " @classmethod\n def product_types(cls):\n \"\"\"\n Declare product produced by this task\n\n deferred_sources does not have any data associated with it. Downstream tasks can\n depend on it just make sure that this task completes first.\n :return:\n \"\"\"\n return ['deferred_sources']", "metadata": "root.DeferredSourcesMapper.product_types", "header": "['class', 'DeferredSourcesMapper', '(', 'Task', ')', ':', '___EOS___']", "index": 32 }, { "content": " @classmethod\n def prepare(cls, options, round_manager):\n round_manager.require_data('unpacked_archives')", "metadata": "root.DeferredSourcesMapper.prepare", "header": "['class', 'DeferredSourcesMapper', '(', 'Task', ')', ':', '___EOS___']", "index": 43 }, { "content": " def execute(self):\n deferred_sources_fields = []\n def find_deferred_sources_fields(target):\n for name, payload_field in target.payload.fields:\n if isinstance(payload_field, DeferredSourcesField):\n deferred_sources_fields.append((target, name, payload_field))\n addresses = [target.address for target in self.context.targets()]\n self.context.build_graph.walk_transitive_dependency_graph(addresses,\n find_deferred_sources_fields)\n\n unpacked_sources = self.context.products.get_data('unpacked_archives')\n for (target, name, payload_field) in deferred_sources_fields:\n sources_target = self.context.build_graph.get_target(payload_field.address)\n if not sources_target:\n raise self.SourcesTargetLookupError(\n \"Couldn't find {sources_spec} referenced from {target} field {name} in build graph\"\n .format(sources_spec=payload_field.address.spec, target=target.address.spec, name=name))\n if not sources_target in unpacked_sources:\n raise self.NoUnpackedSourcesError(\n \"Target {sources_spec} referenced from {target} field {name} did not unpack any sources\"\n .format(spec=sources_target.address.spec, target=target.address.spec, name=name))\n sources, rel_unpack_dir = unpacked_sources[sources_target]\n # We have no idea if rel_unpack_dir matches any of our source root patterns, so\n # we explicitly register it here.\n self.context.source_roots.add_source_root(rel_unpack_dir)\n payload_field.populate(sources, rel_unpack_dir)", "metadata": "root.DeferredSourcesMapper.execute", "header": "['class', 'DeferredSourcesMapper', '(', 'Task', ')', ':', '___EOS___']", "index": 47 } ]

[]

[]

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[ { "content": "from django_seo_js import settings\nfrom base import SEOBackendBase, RequestsBasedBackend\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class PrerenderIO(SEOBackendBase, RequestsBasedBackend):\n \"\"\"Implements the backend for prerender.io\"\"\"\n BASE_URL = \"https://service.prerender.io/\"\n RECACHE_URL = \"https://api.prerender.io/recache\"\n\n\n\n", "metadata": "root.PrerenderIO", "header": "['module', '___EOS___']", "index": 4 }, { "content": " def __init__(self, *args, **kwargs):\n super(SEOBackendBase, self).__init__(*args, **kwargs)\n self.token = self._get_token()", "metadata": "root.PrerenderIO.__init__", "header": "['class', 'PrerenderIO', '(', 'SEOBackendBase', ',', 'RequestsBasedBackend', ')', ':', '___EOS___']", "index": 9 }, { "content": " def _get_token(self):\n if settings.PRERENDER_TOKEN is None:\n raise ValueError(\"Missing SEO_JS_PRERENDER_TOKEN in settings.\")\n return settings.PRERENDER_TOKEN", "metadata": "root.PrerenderIO._get_token", "header": "['class', 'PrerenderIO', '(', 'SEOBackendBase', ',', 'RequestsBasedBackend', ')', ':', '___EOS___']", "index": 13 }, { "content": " def get_response_for_url(self, url):\n \"\"\"\n Accepts a fully-qualified url.\n Returns an HttpResponse, passing through all headers and the status code.\n \"\"\"\n\n if not url or \"//\" not in url:\n raise ValueError(\"Missing or invalid url: %s\" % url)\n\n render_url = self.BASE_URL + url\n headers = {\n 'X-Prerender-Token': self.token,\n }\n r = self.session.get(render_url, headers=headers, allow_redirects=False)\n assert r.status_code < 500\n\n return self.build_django_response_from_requests_response(r)", "metadata": "root.PrerenderIO.get_response_for_url", "header": "['class', 'PrerenderIO', '(', 'SEOBackendBase', ',', 'RequestsBasedBackend', ')', ':', '___EOS___']", "index": 18 }, { "content": " def update_url(self, url=None, regex=None):\n \"\"\"\n Accepts a fully-qualified url, or regex.\n Returns True if successful, False if not successful.\n \"\"\"\n\n if not url and not regex:\n raise ValueError(\"Neither a url or regex was provided to update_url.\")\n\n headers = {\n 'X-Prerender-Token': self.token,\n 'Content-Type': 'application/json',\n }\n data = {\n 'prerenderToken': settings.PRERENDER_TOKEN,\n }\n if url:\n data[\"url\"] = url\n if regex:\n data[\"regex\"] = regex\n\n r = self.session.post(self.RECACHE_URL, headers=headers, data=data)\n return r.status_code < 500", "metadata": "root.PrerenderIO.update_url", "header": "['class', 'PrerenderIO', '(', 'SEOBackendBase', ',', 'RequestsBasedBackend', ')', ':', '___EOS___']", "index": 36 }, { "content": "class PrerenderHosted(PrerenderIO):\n \"\"\"Implements the backend for an arbitrary prerender service\n specified in settings.SEO_JS_PRERENDER_URL\"\"\"\n\n\n", "metadata": "root.PrerenderHosted", "header": "['module', '___EOS___']", "index": 61 }, { "content": " def __init__(self, *args, **kwargs):\n super(SEOBackendBase, self).__init__(*args, **kwargs)\n self.token = \"\"\n if not settings.PRERENDER_URL:\n raise ValueError(\"Missing SEO_JS_PRERENDER_URL in settings.\")\n if not settings.PRERENDER_RECACHE_URL:\n raise ValueError(\"Missing SEO_JS_PRERENDER_RECACHE_URL in settings.\")\n\n self.BASE_URL = settings.PRERENDER_URL\n self.RECACHE_URL = settings.PRERENDER_RECACHE_URL", "metadata": "root.PrerenderHosted.__init__", "header": "['class', 'PrerenderHosted', '(', 'PrerenderIO', ')', ':', '___EOS___']", "index": 65 }, { "content": " def _get_token(self):\n pass", "metadata": "root.PrerenderHosted._get_token", "header": "['class', 'PrerenderHosted', '(', 'PrerenderIO', ')', ':', '___EOS___']", "index": 76 }, { "content": " def update_url(self, url=None):\n \"\"\"\n Accepts a fully-qualified url.\n Returns True if successful, False if not successful.\n \"\"\"\n if not url:\n raise ValueError(\"Neither a url or regex was provided to update_url.\")\n post_url = \"%s%s\" % (self.BASE_URL, url)\n r = self.session.post(post_url)\n return int(r.status_code) < 500", "metadata": "root.PrerenderHosted.update_url", "header": "['class', 'PrerenderHosted', '(', 'PrerenderIO', ')', ':', '___EOS___']", "index": 79 } ]

[]

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[ { "content": " def resize(self, size=None):\n \"\"\"\n Resize the container's PTY.\n\n If `size` is not None, it must be a tuple of (height,width), otherwise\n it will be determined by the size of the current TTY.\n \"\"\"\n\n if not self.israw():\n return\n\n size = size or tty.size(self.stdout)\n\n if size is not None:\n rows, cols = size\n try:\n self.client.resize(self.container, height=rows, width=cols)\n except IOError: # Container already exited\n pass", "metadata": "root.PseudoTerminal.resize", "header": "['class', 'PseudoTerminal', '(', 'object', ')', ':', '___EOS___']", "index": 201 } ]

[]

[]

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[ { "content": " def backwards(self, orm):\n rename_tables_new_to_old(db)\n\n # Renaming model 'TagsPlugin'\n db.rename_table(u'aldryn_newsblog_newsblogtagsplugin', u'aldryn_newsblog_tagsplugin')\n if not db.dry_run:\n orm['contenttypes.contenttype'].objects.filter(\n app_label='aldryn_newsblog', model='newsblogtagsplugin').update(model='tagsplugin')\n\n # Renaming model 'AuthorsPlugin'\n db.rename_table(u'aldryn_newsblog_newsblogauthorsplugin', u'aldryn_newsblog_authorsplugin')\n if not db.dry_run:\n orm['contenttypes.contenttype'].objects.filter(\n app_label='aldryn_newsblog', model='newsblogauthorsplugin').update(model='authorsplugin')\n\n # Renaming model 'CategoriesPlugin'\n db.rename_table(u'aldryn_newsblog_newsblogcategoriesplugin', u'aldryn_newsblog_categoriesplugin')\n if not db.dry_run:\n orm['contenttypes.contenttype'].objects.filter(\n app_label='aldryn_newsblog', model='newsblogcategoriesplugin').update(model='categoriesplugin')\n\n # Renaming model 'FeaturedArticlesPlugin'\n db.rename_table(u'aldryn_newsblog_newsblogfeaturedarticlesplugin', u'aldryn_newsblog_featuredarticlesplugin')\n if not db.dry_run:\n orm['contenttypes.contenttype'].objects.filter(\n app_label='aldryn_newsblog', model='newsblogfeaturedarticlesplugin').update(model='featuredarticlesplugin')\n\n # Rename latest_articles -> latest_entries\n db.rename_column('aldryn_newsblog_newsbloglatestarticlesplugin', 'latest_articles', 'latest_entries')\n # Renaming model 'LatestEntriesPlugin'\n db.rename_table(u'aldryn_newsblog_newsbloglatestarticlesplugin', u'aldryn_newsblog_latestentriesplugin')\n if not db.dry_run:\n orm['contenttypes.contenttype'].objects.filter(\n app_label='aldryn_newsblog', model='newsbloglatestarticlesplugin').update(model='latestentriesplugin')\n\n # Renaming model 'RelatedPlugin'\n db.rename_table(u'aldryn_newsblog_newsblogrelatedplugin', u'aldryn_newsblog_relatedplugin')\n if not db.dry_run:\n orm['contenttypes.contenttype'].objects.filter(\n app_label='aldryn_newsblog', model='newsblogrelatedplugin').update(model='relatedplugin')\n\n # Renaming model 'ArchivePlugin'\n db.rename_table(u'aldryn_newsblog_newsblogarchiveplugin', u'aldryn_newsblog_archiveplugin')\n if not db.dry_run:\n orm['contenttypes.contenttype'].objects.filter(\n app_label='aldryn_newsblog', model='newsblogarchiveplugin').update(model='archiveplugin')", "metadata": "root.Migration.backwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 57 } ]

[]

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[ { "content": " @need_connected\n def prepare(self, params=None):\n\n if isinstance( params, tuple ) or isinstance( params, list ):\n try:\n self._user = params[0]\n self._pass = params[1]\n except IndexError:\n # Use default for non existent indexes\n pass\n self._append( (FIELD_STRINGS, [self._user, self._pass]) )\n return super( ShutdownMessage, self ).prepare()", "metadata": "root.ShutdownMessage.prepare", "header": "['class', 'ShutdownMessage', '(', 'BaseMessage', ')', ':', '___EOS___']", "index": 103 } ]

[]

[]

[ "[CLS]_", "Except", "_", "block_", "handles_", "'", "Base", "Except", "ion", "'_", "[SEP]_", "class_", "Shut", "down", "Message_", "(_", "Base", "Message_", ")_", ":_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "@_", "need", "\\u", "connected_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "def_", "prepare_", "(_", "self_", ",_", "params_", "=_", "None_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "if_", "isinstance_", "(_", "params_", ",_", "tuple_", ")_", "or_", "isinstance_", "(_", "params_", ",_", "list_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "try_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "self_", "._", "\\u", "user_", "=_", "params_", "[_", "0_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "self_", "._", "\\u", "pass_", "=_", "params_", "[_", "1_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "except_", "Index", "Error_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "#", " ", "Us", "e", " ", "default", " ", "for", " ", "non", " ", "existen", "t", " ", "indexes_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "pass_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "self_", "._", "\\u", "append_", "(_", "(_", "FIE", "LD", "\\u", "STRING", "S_", ",_", "[_", "self_", "._", "\\u", "user_", ",_", "self_", "._", "\\u", "pass_", "]_", ")_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "return_", "super_", "(_", "Shut", "down", "Message_", ",_", "self_", ")_", "._", "prepare_", "(_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_" ]

[ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": "def add_auth_to_response(response, request=None, user=ANON):\n if request is None:\n return # early parsing must've failed\n if request.line.uri.startswith('/assets/'):\n return # assets never get auth headers\n\n if SESSION in request.headers.cookie:\n if not user.ANON:\n user.keep_signed_in(response.headers.cookie)", "metadata": "root.add_auth_to_response", "header": "['module', '___EOS___']", "index": 79 } ]

[]

[]

[ "[CLS]_", "Test", "ing_", "equality", "_", "to_", "None_", "[SEP]_", "module_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "def_", "add", "\\u", "auth", "\\u", "to", "\\u", "response_", "(_", "response_", ",_", "request_", "=_", "None_", ",_", "user_", "=_", "ANON", "_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "if_", "request_", "is_", "None_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "return_", "#", " ", "ear", "ly", " ", "pars", "ing", " ", "must", "'", "ve", " ", "failed_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "if_", "request_", "._", "line_", "._", "uri_", "._", "startswith_", "(_", "'/", "asset", "s", "/'_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "return_", "#", " ", "asset", "s", " ", "neve", "r", " ", "get", " ", "auth", " ", "headers_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "if_", "SESSION_", "in_", "request_", "._", "headers_", "._", "cookie_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "if_", "not_", "user_", "._", "ANON", "_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "user_", "._", "keep", "\\u", "sign", "ed", "\\u", "in_", "(_", "response_", "._", "headers_", "._", "cookie_", ")_" ]

[ 4, 4, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": "class XOSTabularInline(admin.TabularInline):\n\n\n\n\n\n\n\n selflink.allow_tags = True\n selflink.short_description = \"Details\"\n\n\n\n backend_status_icon.short_description = \"\"", "metadata": "root.XOSTabularInline", "header": "['module', '___EOS___']", "index": 327 }, { "content": " def __init__(self, *args, **kwargs):\n super(XOSTabularInline, self).__init__(*args, **kwargs)\n\n # InlineModelAdmin as no get_fields() method, so in order to add\n # the selflink field, we override __init__ to modify self.fields and\n # self.readonly_fields.\n\n self.setup_selflink()", "metadata": "root.XOSTabularInline.__init__", "header": "['class', 'XOSTabularInline', '(', 'admin', '.', 'TabularInline', ')', ':', '___EOS___']", "index": 329 }, { "content": " @property\n def selflink_model(self):\n if hasattr(self, \"selflink_fieldname\"):\n \"\"\" self.selflink_model can be defined to punch through a relation\n to its target object. For example, in SliceNetworkInline, set\n selflink_model = \"network\", and the URL will lead to the Network\n object instead of trying to bring up a change view of the\n SliceNetwork object.\n \"\"\"\n return getattr(self.model, self.selflink_fieldname).field.rel.to\n else:\n return self.model", "metadata": "root.XOSTabularInline.selflink_model", "header": "['class', 'XOSTabularInline', '(', 'admin', '.', 'TabularInline', ')', ':', '___EOS___']", "index": 338 }, { "content": " @property\n def selflink_reverse_path(self):\n return \"admin:%s_change\" % (self.selflink_model._meta.db_table)", "metadata": "root.XOSTabularInline.selflink_reverse_path", "header": "['class', 'XOSTabularInline', '(', 'admin', '.', 'TabularInline', ')', ':', '___EOS___']", "index": 351 }, { "content": " def get_change_url(self, id):\n \"\"\" Get the URL to a change form in the admin for this model \"\"\"\n reverse_path = self.selflink_reverse_path # \"admin:%s_change\" % (self.selflink_model._meta.db_table)\n try:\n url = reverse(reverse_path, args=(id,))\n except NoReverseMatch:\n return None\n\n return url", "metadata": "root.XOSTabularInline.get_change_url", "header": "['class', 'XOSTabularInline', '(', 'admin', '.', 'TabularInline', ')', ':', '___EOS___']", "index": 355 }, { "content": " def setup_selflink(self):\n url = self.get_change_url(0)\n\n # We don't have an admin for this object, so don't create the\n # selflink.\n if (url == None):\n return\n\n # Since we need to add \"selflink\" to the field list, we need to create\n # self.fields if it is None.\n if (self.fields is None):\n self.fields = []\n for f in self.model._meta.fields:\n if f.editable and f.name != \"id\":\n self.fields.append(f.name)\n\n self.fields = tuple(self.fields) + (\"selflink\", )\n\n if self.readonly_fields is None:\n self.readonly_fields = ()\n\n self.readonly_fields = tuple(self.readonly_fields) + (\"selflink\", )", "metadata": "root.XOSTabularInline.setup_selflink", "header": "['class', 'XOSTabularInline', '(', 'admin', '.', 'TabularInline', ')', ':', '___EOS___']", "index": 365 }, { "content": " def selflink(self, obj):\n if hasattr(self, \"selflink_fieldname\"):\n obj = getattr(obj, self.selflink_fieldname)\n\n if obj.id:\n url = self.get_change_url(obj.id)\n return \"<a href='%s'>Details</a>\" % str(url)\n else:\n return \"Not present\"", "metadata": "root.XOSTabularInline.selflink", "header": "['class', 'XOSTabularInline', '(', 'admin', '.', 'TabularInline', ')', ':', '___EOS___']", "index": 388 }, { "content": " def has_add_permission(self, request):\n return not request.user.isReadOnlyUser()", "metadata": "root.XOSTabularInline.has_add_permission", "header": "['class', 'XOSTabularInline', '(', 'admin', '.', 'TabularInline', ')', ':', '___EOS___']", "index": 401 }, { "content": " def get_readonly_fields(self, request, obj=None):\n readonly_fields = list(self.readonly_fields)[:]\n if request.user.isReadOnlyUser():\n for field in self.fields:\n if not field in readonly_fields:\n readonly_fields.append(field)\n return readonly_fields", "metadata": "root.XOSTabularInline.get_readonly_fields", "header": "['class', 'XOSTabularInline', '(', 'admin', '.', 'TabularInline', ')', ':', '___EOS___']", "index": 404 }, { "content": " def backend_status_icon(self, obj):\n return mark_safe(backend_icon(obj))", "metadata": "root.XOSTabularInline.backend_status_icon", "header": "['class', 'XOSTabularInline', '(', 'admin', '.', 'TabularInline', ')', ':', '___EOS___']", "index": 412 }, { "content": "class ReservationInline(XOSTabularInline):\n model = Reservation\n extra = 0\n suit_classes = 'suit-tab suit-tab-reservations'\n", "metadata": "root.ReservationInline", "header": "['module', '___EOS___']", "index": 435 }, { "content": " def queryset(self, request):\n return Reservation.select_by_user(request.user)", "metadata": "root.ReservationInline.queryset", "header": "['class', 'ReservationInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 440 }, { "content": "class InstanceInline(XOSTabularInline):\n model = Instance\n fields = ['backend_status_icon', 'all_ips_string', 'instance_id',\n 'instance_name', 'slice', 'deployment', 'flavor', 'image', 'node']\n extra = 0\n max_num = 0\n readonly_fields = ['backend_status_icon', 'all_ips_string', 'instance_id',\n 'instance_name', 'slice', 'deployment', 'flavor', 'image', 'node']\n suit_classes = 'suit-tab suit-tab-instances'\n\n", "metadata": "root.InstanceInline", "header": "['module', '___EOS___']", "index": 454 }, { "content": " def queryset(self, request):\n return Instance.select_by_user(request.user)", "metadata": "root.InstanceInline.queryset", "header": "['class', 'InstanceInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 464 }, { "content": " def formfield_for_foreignkey(self, db_field, request=None, **kwargs):\n if db_field.name == 'deployment':\n kwargs['queryset'] = Deployment.select_by_acl(request.user).filter(\n sitedeployments__nodes__isnull=False).distinct()\n kwargs['widget'] = forms.Select(\n attrs={'onChange': \"instance_deployment_changed(this);\"})\n if db_field.name == 'flavor':\n kwargs['widget'] = forms.Select(\n attrs={'onChange': \"instance_flavor_changed(this);\"})\n\n field = super(InstanceInline, self).formfield_for_foreignkey(\n db_field, request, **kwargs)\n\n return field", "metadata": "root.InstanceInline.formfield_for_foreignkey", "header": "['class', 'InstanceInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 467 }, { "content": "class CordInstanceInline(XOSTabularInline):\n model = Instance\n fields = ['backend_status_icon', 'all_ips_string', 'instance_id',\n 'instance_name', 'slice', 'flavor', 'image', 'node']\n extra = 0\n readonly_fields = ['backend_status_icon',\n 'all_ips_string', 'instance_id', 'instance_name']\n suit_classes = 'suit-tab suit-tab-instances'\n\n", "metadata": "root.CordInstanceInline", "header": "['module', '___EOS___']", "index": 483 }, { "content": " def queryset(self, request):\n return Instance.select_by_user(request.user)", "metadata": "root.CordInstanceInline.queryset", "header": "['class', 'CordInstanceInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 492 }, { "content": " def formfield_for_foreignkey(self, db_field, request=None, **kwargs):\n if db_field.name == 'deployment':\n\n kwargs['queryset'] = Deployment.select_by_acl(request.user).filter(\n sitedeployments__nodes__isnull=False).distinct()\n kwargs['widget'] = forms.Select(\n attrs={'onChange': \"instance_deployment_changed(this);\"})\n if db_field.name == 'flavor':\n kwargs['widget'] = forms.Select(\n attrs={'onChange': \"instance_flavor_changed(this);\"})\n\n field = super(CordInstanceInline, self).formfield_for_foreignkey(\n db_field, request, **kwargs)\n\n return field", "metadata": "root.CordInstanceInline.formfield_for_foreignkey", "header": "['class', 'CordInstanceInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 495 }, { "content": "class SiteInline(XOSTabularInline):\n model = Site\n extra = 0\n suit_classes = 'suit-tab suit-tab-sites'\n", "metadata": "root.SiteInline", "header": "['module', '___EOS___']", "index": 512 }, { "content": " def queryset(self, request):\n return Site.select_by_user(request.user)", "metadata": "root.SiteInline.queryset", "header": "['class', 'SiteInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 517 }, { "content": "class SiteHostsNodesInline(SiteInline):\n", "metadata": "root.SiteHostsNodesInline", "header": "['module', '___EOS___']", "index": 521 }, { "content": " def queryset(self, request):\n return Site.select_by_user(request.user).filter(hosts_nodes=True)", "metadata": "root.SiteHostsNodesInline.queryset", "header": "['class', 'SiteHostsNodesInline', '(', 'SiteInline', ')', ':', '___EOS___']", "index": 523 }, { "content": "class SiteHostsUsersInline(SiteInline):\n", "metadata": "root.SiteHostsUsersInline", "header": "['module', '___EOS___']", "index": 527 }, { "content": " def queryset(self, request):\n return Site.select_by_user(request.user).filter(hosts_users=True)", "metadata": "root.SiteHostsUsersInline.queryset", "header": "['class', 'SiteHostsUsersInline', '(', 'SiteInline', ')', ':', '___EOS___']", "index": 529 }, { "content": "class UserInline(XOSTabularInline):\n model = User\n fields = ['backend_status_icon', 'email', 'firstname', 'lastname']\n readonly_fields = ('backend_status_icon', )\n extra = 0\n suit_classes = 'suit-tab suit-tab-users'\n", "metadata": "root.UserInline", "header": "['module', '___EOS___']", "index": 533 }, { "content": " def queryset(self, request):\n return User.select_by_user(request.user)", "metadata": "root.UserInline.queryset", "header": "['class', 'UserInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 540 }, { "content": "class SliceInline(XOSTabularInline):\n model = Slice\n fields = ['backend_status_icon', 'name', 'site', 'serviceClass', 'service']\n readonly_fields = ('backend_status_icon', )\n extra = 0\n suit_classes = 'suit-tab suit-tab-slices'\n", "metadata": "root.SliceInline", "header": "['module', '___EOS___']", "index": 544 }, { "content": " def queryset(self, request):\n return Slice.select_by_user(request.user)", "metadata": "root.SliceInline.queryset", "header": "['class', 'SliceInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 551 }, { "content": "class NodeInline(XOSTabularInline):\n model = Node\n extra = 0\n suit_classes = 'suit-tab suit-tab-nodes'\n fields = ['backend_status_icon', 'name', 'site_deployment']\n readonly_fields = ('backend_status_icon', )", "metadata": "root.NodeInline", "header": "['module', '___EOS___']", "index": 555 }, { "content": "class DeploymentPrivilegeInline(XOSTabularInline):\n model = DeploymentPrivilege\n extra = 0\n suit_classes = 'suit-tab suit-tab-deploymentprivileges'\n fields = ['backend_status_icon', 'user', 'role', 'deployment']\n readonly_fields = ('backend_status_icon', )\n", "metadata": "root.DeploymentPrivilegeInline", "header": "['module', '___EOS___']", "index": 563 }, { "content": " def queryset(self, request):\n return DeploymentPrivilege.select_by_user(request.user)", "metadata": "root.DeploymentPrivilegeInline.queryset", "header": "['class', 'DeploymentPrivilegeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 570 }, { "content": "class ControllerSiteInline(XOSTabularInline):\n model = ControllerSite\n extra = 0\n suit_classes = 'suit-tab suit-tab-admin-only'\n fields = ['controller', 'site', 'tenant_id']", "metadata": "root.ControllerSiteInline", "header": "['module', '___EOS___']", "index": 574 }, { "content": "class SitePrivilegeInline(XOSTabularInline):\n model = SitePrivilege\n extra = 0\n suit_classes = 'suit-tab suit-tab-siteprivileges'\n fields = ['backend_status_icon', 'user', 'site', 'role']\n readonly_fields = ('backend_status_icon', )\n\n", "metadata": "root.SitePrivilegeInline", "header": "['module', '___EOS___']", "index": 581 }, { "content": " def formfield_for_foreignkey(self, db_field, request, **kwargs):\n if db_field.name == 'site':\n kwargs['queryset'] = Site.select_by_user(request.user)\n\n if db_field.name == 'user':\n kwargs['queryset'] = User.select_by_user(request.user)\n return super(SitePrivilegeInline, self).formfield_for_foreignkey(db_field, request, **kwargs)", "metadata": "root.SitePrivilegeInline.formfield_for_foreignkey", "header": "['class', 'SitePrivilegeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 588 }, { "content": " def queryset(self, request):\n return SitePrivilege.select_by_user(request.user)", "metadata": "root.SitePrivilegeInline.queryset", "header": "['class', 'SitePrivilegeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 596 }, { "content": "class ServicePrivilegeInline(XOSTabularInline):\n model = ServicePrivilege\n extra = 0\n suit_classes = 'suit-tab suit-tab-serviceprivileges'\n fields = ['backend_status_icon', 'user', 'service', 'role']\n readonly_fields = ('backend_status_icon', )\n\n", "metadata": "root.ServicePrivilegeInline", "header": "['module', '___EOS___']", "index": 600 }, { "content": " def formfield_for_foreignkey(self, db_field, request, **kwargs):\n if db_field.name == 'service':\n kwargs['queryset'] = Service.select_by_user(request.user)\n if db_field.name == 'user':\n kwargs['queryset'] = User.select_by_user(request.user)\n return super(ServicePrivilegeInline, self).formfield_for_foreignkey(db_field, request, **kwargs)", "metadata": "root.ServicePrivilegeInline.formfield_for_foreignkey", "header": "['class', 'ServicePrivilegeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 607 }, { "content": " def queryset(self, request):\n return ServicePrivilege.select_by_user(request.user)", "metadata": "root.ServicePrivilegeInline.queryset", "header": "['class', 'ServicePrivilegeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 614 }, { "content": "class SiteDeploymentInline(XOSTabularInline):\n model = SiteDeployment\n extra = 0\n suit_classes = 'suit-tab suit-tab-sitedeployments'\n fields = ['backend_status_icon', 'deployment', 'site', 'controller']\n readonly_fields = ('backend_status_icon', )\n\n", "metadata": "root.SiteDeploymentInline", "header": "['module', '___EOS___']", "index": 618 }, { "content": " def formfield_for_foreignkey(self, db_field, request, **kwargs):\n if db_field.name == 'site':\n kwargs['queryset'] = Site.select_by_user(request.user)\n\n if db_field.name == 'deployment':\n kwargs['queryset'] = Deployment.select_by_user(request.user)\n\n if db_field.name == 'controller':\n if len(resolve(request.path).args) > 0:\n kwargs['queryset'] = Controller.select_by_user(request.user).filter(\n deployment__id=int(resolve(request.path).args[0]))\n\n return super(SiteDeploymentInline, self).formfield_for_foreignkey(db_field, request, **kwargs)", "metadata": "root.SiteDeploymentInline.formfield_for_foreignkey", "header": "['class', 'SiteDeploymentInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 625 }, { "content": " def queryset(self, request):\n return SiteDeployment.select_by_user(request.user)", "metadata": "root.SiteDeploymentInline.queryset", "header": "['class', 'SiteDeploymentInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 639 }, { "content": "class SlicePrivilegeInline(XOSTabularInline):\n model = SlicePrivilege\n suit_classes = 'suit-tab suit-tab-sliceprivileges'\n extra = 0\n fields = ('backend_status_icon', 'user', 'slice', 'role')\n readonly_fields = ('backend_status_icon', )\n\n", "metadata": "root.SlicePrivilegeInline", "header": "['module', '___EOS___']", "index": 643 }, { "content": " def formfield_for_foreignkey(self, db_field, request, **kwargs):\n if db_field.name == 'slice':\n kwargs['queryset'] = Slice.select_by_user(request.user)\n if db_field.name == 'user':\n # all users are available to be granted SlicePrivilege\n kwargs['queryset'] = User.objects.all()\n\n return super(SlicePrivilegeInline, self).formfield_for_foreignkey(db_field, request, **kwargs)", "metadata": "root.SlicePrivilegeInline.formfield_for_foreignkey", "header": "['class', 'SlicePrivilegeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 650 }, { "content": " def queryset(self, request):\n return SlicePrivilege.select_by_user(request.user)", "metadata": "root.SlicePrivilegeInline.queryset", "header": "['class', 'SlicePrivilegeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 659 }, { "content": "class SliceNetworkInline(XOSTabularInline):\n model = Network.slices.through\n selflink_fieldname = \"network\"\n extra = 0\n verbose_name = \"Network Connection\"\n verbose_name_plural = \"Network Connections\"\n suit_classes = 'suit-tab suit-tab-slicenetworks'\n fields = ['backend_status_icon', 'network']\n readonly_fields = ('backend_status_icon', )", "metadata": "root.SliceNetworkInline", "header": "['module', '___EOS___']", "index": 663 }, { "content": "class ImageDeploymentsInline(XOSTabularInline):\n model = ImageDeployments\n extra = 0\n verbose_name = \"Image Deployments\"\n verbose_name_plural = \"Image Deployments\"\n suit_classes = 'suit-tab suit-tab-imagedeployments'\n fields = ['backend_status_icon', 'image', 'deployment']\n readonly_fields = ['backend_status_icon']", "metadata": "root.ImageDeploymentsInline", "header": "['module', '___EOS___']", "index": 674 }, { "content": "class ControllerImagesInline(XOSTabularInline):\n model = ControllerImages\n extra = 0\n verbose_name = \"Controller Images\"\n verbose_name_plural = \"Controller Images\"\n suit_classes = 'suit-tab suit-tab-admin-only'\n fields = ['backend_status_icon', 'image', 'controller', 'glance_image_id']\n readonly_fields = ['backend_status_icon', 'glance_image_id']", "metadata": "root.ControllerImagesInline", "header": "['module', '___EOS___']", "index": 684 }, { "content": "class SiteAssocInline(XOSTabularInline):\n model = Site.deployments.through\n extra = 0\n suit_classes = 'suit-tab suit-tab-sites'", "metadata": "root.SiteAssocInline", "header": "['module', '___EOS___']", "index": 809 }, { "content": "class TenantAttrAsTabInline(XOSTabularInline):\n model = TenantAttribute\n fields = ['name', 'value']\n extra = 0\n suit_classes = 'suit-tab suit-tab-tenantattrs'", "metadata": "root.TenantAttrAsTabInline", "header": "['module', '___EOS___']", "index": 926 }, { "content": "class TenantRootTenantInline(XOSTabularInline):\n model = Tenant\n fields = ['provider_service', 'subscriber_root']\n extra = 0\n suit_classes = 'suit-tab suit-tab-tenantroots'\n fk_name = 'subscriber_root'\n verbose_name = 'subscribed tenant'\n verbose_name_plural = 'subscribed tenants'\n\n # def queryset(self, request):\n # qs = super(TenantRootTenantInline, self).queryset(request)\n # return qs.filter(kind=\"coarse\")", "metadata": "root.TenantRootTenantInline", "header": "['module', '___EOS___']", "index": 938 }, { "content": "class TenantRootPrivilegeInline(XOSTabularInline):\n model = TenantRootPrivilege\n extra = 0\n suit_classes = 'suit-tab suit-tab-tenantrootprivileges'\n fields = ['backend_status_icon', 'user', 'role', 'tenant_root']\n readonly_fields = ('backend_status_icon', )\n", "metadata": "root.TenantRootPrivilegeInline", "header": "['module', '___EOS___']", "index": 952 }, { "content": " def queryset(self, request):\n return TenantRootPrivilege.select_by_user(request.user)", "metadata": "root.TenantRootPrivilegeInline.queryset", "header": "['class', 'TenantRootPrivilegeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 959 }, { "content": "class TenantPrivilegeInline(XOSTabularInline):\n \"\"\"Inline for adding a TenantPrivilege to a Tenant.\"\"\"\n model = TenantPrivilege\n extra = 0\n suit_classes = 'suit-tab suit-tab-tenantprivileges'\n fields = ['backend_status_icon', 'user', 'role', 'tenant']\n readonly_fields = ('backend_status_icon', )\n", "metadata": "root.TenantPrivilegeInline", "header": "['module', '___EOS___']", "index": 985 }, { "content": " def queryset(self, request):\n return TenantPrivilege.select_by_user(request.user)", "metadata": "root.TenantPrivilegeInline.queryset", "header": "['class', 'TenantPrivilegeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 993 }, { "content": "class ProviderTenantInline(XOSTabularInline):\n model = CoarseTenant\n fields = ['provider_service', 'subscriber_service', 'connect_method']\n extra = 0\n suit_classes = 'suit-tab suit-tab-servicetenants'\n fk_name = 'provider_service'\n verbose_name = 'provided tenant'\n verbose_name_plural = 'provided tenants'\n", "metadata": "root.ProviderTenantInline", "header": "['module', '___EOS___']", "index": 997 }, { "content": " def queryset(self, request):\n qs = super(ProviderTenantInline, self).queryset(request)\n return qs.filter(kind=\"coarse\")", "metadata": "root.ProviderTenantInline.queryset", "header": "['class', 'ProviderTenantInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 1006 }, { "content": "class SubscriberTenantInline(XOSTabularInline):\n model = CoarseTenant\n fields = ['provider_service', 'subscriber_service', 'connect_method']\n extra = 0\n suit_classes = 'suit-tab suit-tab-servicetenants'\n fk_name = 'subscriber_service'\n verbose_name = 'subscribed tenant'\n verbose_name_plural = 'subscribed tenants'\n", "metadata": "root.SubscriberTenantInline", "header": "['module', '___EOS___']", "index": 1011 }, { "content": " def queryset(self, request):\n qs = super(SubscriberTenantInline, self).queryset(request)\n return qs.filter(kind=\"coarse\")", "metadata": "root.SubscriberTenantInline.queryset", "header": "['class', 'SubscriberTenantInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 1020 }, { "content": "class ServiceAttrAsTabInline(XOSTabularInline):\n model = ServiceAttribute\n fields = ['name', 'value']\n extra = 0\n suit_classes = 'suit-tab suit-tab-serviceattrs'", "metadata": "root.ServiceAttrAsTabInline", "header": "['module', '___EOS___']", "index": 1025 }, { "content": "class SiteNodeInline(XOSTabularInline):\n model = Node\n fields = ['name', 'site_deployment']\n extra = 0\n suit_classes = 'suit-tab suit-tab-nodes'\n", "metadata": "root.SiteNodeInline", "header": "['module', '___EOS___']", "index": 1054 }, { "content": " def formfield_for_foreignkey(self, db_field, request, **kwargs):\n # only display site deployments associated with this site\n if db_field.name == 'site_deployment':\n kwargs['queryset'] = SiteDeployment.objects.filter(\n site__id=int(request.path.split('/')[-2]))\n\n return super(SiteNodeInline, self).formfield_for_foreignkey(db_field, request, **kwargs)", "metadata": "root.SiteNodeInline.formfield_for_foreignkey", "header": "['class', 'SiteNodeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 1060 }, { "content": "class ControllerSliceInline(XOSTabularInline):\n model = ControllerSlice\n extra = 0\n verbose_name = \"Controller Slices\"\n verbose_name_plural = \"Controller Slices\"\n suit_classes = 'suit-tab suit-tab-admin-only'\n fields = ['backend_status_icon', 'controller', 'tenant_id']\n readonly_fields = ('backend_status_icon', 'controller')", "metadata": "root.ControllerSliceInline", "header": "['module', '___EOS___']", "index": 1213 }, { "content": "class InstancePortInline(XOSTabularInline):\n fields = ['backend_status_icon', 'network', 'instance', 'ip', 'mac']\n readonly_fields = (\"backend_status_icon\", \"ip\", \"mac\")\n model = Port\n #selflink_fieldname = \"network\"\n extra = 0\n verbose_name_plural = \"Ports\"\n verbose_name = \"Port\"\n suit_classes = 'suit-tab suit-tab-ports'", "metadata": "root.InstancePortInline", "header": "['module', '___EOS___']", "index": 1504 }, { "content": "class UserDashboardViewInline(XOSTabularInline):\n model = UserDashboardView\n extra = 0\n suit_classes = 'suit-tab suit-tab-dashboards'\n fields = ['user', 'dashboardView', 'order']", "metadata": "root.UserDashboardViewInline", "header": "['module', '___EOS___']", "index": 1719 }, { "content": "class ControllerUserInline(XOSTabularInline):\n model = ControllerUser\n extra = 0\n suit_classes = 'suit-tab suit-tab-admin-only'\n fields = ['controller', 'user', 'kuser_id']", "metadata": "root.ControllerUserInline", "header": "['module', '___EOS___']", "index": 1726 }, { "content": "class ControllerDashboardViewInline(XOSTabularInline):\n model = ControllerDashboardView\n extra = 0\n fields = [\"controller\", \"url\"]\n suit_classes = 'suit-tab suit-tab-controllers'", "metadata": "root.ControllerDashboardViewInline", "header": "['module', '___EOS___']", "index": 1828 }, { "content": "class ServiceResourceInline(XOSTabularInline):\n model = ServiceResource\n extra = 0", "metadata": "root.ServiceResourceInline", "header": "['module', '___EOS___']", "index": 1848 }, { "content": "class ReservedResourceInline(XOSTabularInline):\n model = ReservedResource\n extra = 0\n suit_classes = 'suit-tab suit-tab-reservedresources'\n\n", "metadata": "root.ReservedResourceInline", "header": "['module', '___EOS___']", "index": 1863 }, { "content": " def formfield_for_foreignkey(self, db_field, request=None, **kwargs):\n field = super(ReservedResourceInline, self).formfield_for_foreignkey(\n db_field, request, **kwargs)\n\n if db_field.name == 'resource':\n # restrict resources to those that the slice's service class allows\n if request._slice is not None:\n field.queryset = field.queryset.filter(\n serviceClass=request._slice.serviceClass, calendarReservable=True)\n if len(field.queryset) > 0:\n field.initial = field.queryset.all()[0]\n else:\n field.queryset = field.queryset.none()\n elif db_field.name == 'instance':\n # restrict instances to those that belong to the slice\n if request._slice is not None:\n field.queryset = field.queryset.filter(slice=request._slice)\n else:\n field.queryset = field.queryset.none()\n\n return field", "metadata": "root.ReservedResourceInline.formfield_for_foreignkey", "header": "['class', 'ReservedResourceInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 1868 }, { "content": " def queryset(self, request):\n return ReservedResource.select_by_user(request.user)", "metadata": "root.ReservedResourceInline.queryset", "header": "['class', 'ReservedResourceInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 1890 }, { "content": "class RouterInline(XOSTabularInline):\n model = Router.networks.through\n extra = 0\n verbose_name_plural = \"Routers\"\n verbose_name = \"Router\"\n suit_classes = 'suit-tab suit-tab-routers'", "metadata": "root.RouterInline", "header": "['module', '___EOS___']", "index": 2031 }, { "content": "class NetworkPortInline(XOSTabularInline):\n fields = ['backend_status_icon', 'network', 'instance', 'ip', 'mac']\n readonly_fields = (\"backend_status_icon\", \"ip\", \"mac\")\n model = Port\n #selflink_fieldname = \"instance\"\n extra = 0\n verbose_name_plural = \"Ports\"\n verbose_name = \"Port\"\n suit_classes = 'suit-tab suit-tab-ports'", "metadata": "root.NetworkPortInline", "header": "['module', '___EOS___']", "index": 2049 }, { "content": "class NetworkSlicesInline(XOSTabularInline):\n model = NetworkSlice\n selflink_fieldname = \"slice\"\n extra = 0\n verbose_name_plural = \"Slices\"\n verbose_name = \"Slice\"\n suit_classes = 'suit-tab suit-tab-networkslices'\n fields = ['backend_status_icon', 'network', 'slice']\n readonly_fields = ('backend_status_icon', )", "metadata": "root.NetworkSlicesInline", "header": "['module', '___EOS___']", "index": 2060 }, { "content": "class ControllerNetworkInline(XOSTabularInline):\n model = ControllerNetwork\n extra = 0\n verbose_name_plural = \"Controller Networks\"\n verbose_name = \"Controller Network\"\n suit_classes = 'suit-tab suit-tab-admin-only'\n fields = ['backend_status_icon', 'controller',\n 'net_id', 'subnet_id', 'subnet']\n readonly_fields = ('backend_status_icon', )", "metadata": "root.ControllerNetworkInline", "header": "['module', '___EOS___']", "index": 2071 }, { "content": "class InvoiceChargeInline(XOSTabularInline):\n model = Charge\n extra = 0\n verbose_name_plural = \"Charges\"\n verbose_name = \"Charge\"\n exclude = ['account']\n fields = [\"date\", \"kind\", \"state\", \"object\",\n \"coreHours\", \"dollar_amount\", \"slice\"]\n readonly_fields = [\"date\", \"kind\", \"state\",\n \"object\", \"coreHours\", \"dollar_amount\", \"slice\"]\n can_delete = False\n max_num = 0\n\n dollar_amount = right_dollar_field(\"amount\", \"Amount\")", "metadata": "root.InvoiceChargeInline", "header": "['module', '___EOS___']", "index": 2205 }, { "content": "class InvoiceInline(XOSTabularInline):\n model = Invoice\n extra = 0\n verbose_name_plural = \"Invoices\"\n verbose_name = \"Invoice\"\n fields = [\"date\", \"dollar_amount\"]\n readonly_fields = [\"date\", \"dollar_amount\"]\n suit_classes = 'suit-tab suit-tab-accountinvoice'\n can_delete = False\n max_num = 0\n\n dollar_amount = right_dollar_field(\"amount\", \"Amount\")", "metadata": "root.InvoiceInline", "header": "['module', '___EOS___']", "index": 2232 }, { "content": "class PendingChargeInline(XOSTabularInline):\n model = Charge\n extra = 0\n verbose_name_plural = \"Charges\"\n verbose_name = \"Charge\"\n exclude = [\"invoice\"]\n fields = [\"date\", \"kind\", \"state\", \"object\",\n \"coreHours\", \"dollar_amount\", \"slice\"]\n readonly_fields = [\"date\", \"kind\", \"state\",\n \"object\", \"coreHours\", \"dollar_amount\", \"slice\"]\n suit_classes = 'suit-tab suit-tab-accountpendingcharges'\n can_delete = False\n max_num = 0\n\n\n dollar_amount = right_dollar_field(\"amount\", \"Amount\")", "metadata": "root.PendingChargeInline", "header": "['module', '___EOS___']", "index": 2246 }, { "content": " def queryset(self, request):\n qs = super(PendingChargeInline, self).queryset(request)\n qs = qs.filter(state=\"pending\")\n return qs", "metadata": "root.PendingChargeInline.queryset", "header": "['class', 'PendingChargeInline', '(', 'XOSTabularInline', ')', ':', '___EOS___']", "index": 2260 }, { "content": "class PaymentInline(XOSTabularInline):\n model = Payment\n extra = 1\n verbose_name_plural = \"Payments\"\n verbose_name = \"Payment\"\n fields = [\"date\", \"dollar_amount\"]\n readonly_fields = [\"date\", \"dollar_amount\"]\n suit_classes = 'suit-tab suit-tab-accountpayments'\n can_delete = False\n max_num = 0\n\n dollar_amount = right_dollar_field(\"amount\", \"Amount\")", "metadata": "root.PaymentInline", "header": "['module', '___EOS___']", "index": 2268 } ]

[]

[]

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[ { "content": " def __init__(self, user, *args, **kwargs):\n super(LeadForm, self).__init__(*args, **kwargs)\n\n self.fields['contact'].queryset = Object.filter_permitted(\n user, Contact.objects)\n self.fields['contact'].widget.attrs.update({'class': 'autocomplete',\n 'callback': reverse('identities_ajax_contact_lookup')})\n self.fields['contact'].widget.attrs.update(\n {'popuplink': reverse('identities_contact_add')})\n self.fields['contact'].label = _(\"Contact\")\n\n self.fields['source'].queryset = Object.filter_permitted(\n user, SaleSource.objects.filter(active=True))\n self.fields['source'].label = _(\"Source\")\n self.fields['products_interested'].queryset = Object.filter_permitted(\n user, Product.objects)\n self.fields['products_interested'].help_text = \"\"\n self.fields['products_interested'].widget.attrs.update(\n {'popuplink': reverse('sales_product_add')})\n self.fields['products_interested'].label = _(\"Products interested\")\n\n self.fields['assigned'].help_text = \"\"\n self.fields['assigned'].label = _(\"Assigned to\")\n self.fields['assigned'].widget.attrs.update({'class': 'multicomplete',\n 'callback': reverse('identities_ajax_user_lookup')})\n\n try:\n conf = ModuleSetting.get_for_module(\n 'treeio.sales', 'default_order_product')[0]\n self.fields['products_interested'].initial = [long(conf.value)]\n except:\n pass\n\n self.fields['status'].queryset = Object.filter_permitted(\n user, SaleStatus.objects.filter(use_leads=True))\n self.fields['status'].label = _(\"Status\")\n\n try:\n conf = ModuleSetting.get_for_module(\n 'treeio.sales', 'default_lead_status')[0]\n self.fields['status'].initial = long(conf.value)\n except:\n pass\n\n self.fields['contact_method'].label = _(\"Contact method\")\n self.fields['details'].label = _(\"Details\")", "metadata": "root.LeadForm.__init__", "header": "['class', 'LeadForm', '(', 'forms', '.', 'ModelForm', ')', ':', '___EOS___']", "index": 878 } ]

[]

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[ { "content": "\tdef test( self ) :\n\n\t\tsphere = GafferScene.Sphere()\n\t\tplane = GafferScene.Plane()\n\t\tgroup = GafferScene.Group()\n\t\tgroup[\"in\"][0].setInput( sphere[\"out\"] )\n\t\tgroup[\"in\"][1].setInput( plane[\"out\"] )\n\n\t\tplane2 = GafferScene.Plane()\n\t\tplane2[\"divisions\"].setValue( IECore.V2i( 99, 99 ) ) # 10000 instances\n\n\t\tinstancer = GafferScene.Instancer()\n\t\tinstancer[\"in\"].setInput( plane2[\"out\"] )\n\t\tinstancer[\"parent\"].setValue( \"/plane\" )\n\t\tinstancer[\"instance\"].setInput( group[\"out\"] )\n\n\t\tfilter = GafferScene.PathFilter()\n\t\tfilter[\"paths\"].setValue( IECore.StringVectorData( [ \"/plane/instances/*1/group/plane\" ] ) )\n\n\t\tmatchingPaths = GafferScene.PathMatcher()\n\t\tGafferScene.matchingPaths( filter, instancer[\"out\"], matchingPaths )\n\n\t\tself.assertEqual( len( matchingPaths.paths() ), 1000 )\n\t\tself.assertEqual( matchingPaths.match( \"/plane/instances/1/group/plane\" ), GafferScene.Filter.Result.ExactMatch )\n\t\tself.assertEqual( matchingPaths.match( \"/plane/instances/1121/group/plane\" ), GafferScene.Filter.Result.ExactMatch )\n\t\tself.assertEqual( matchingPaths.match( \"/plane/instances/1121/group/sphere\" ), GafferScene.Filter.Result.NoMatch )", "metadata": "root.SceneAlgoTest.test", "header": "['class', 'SceneAlgoTest', '(', 'GafferSceneTest', '.', 'SceneTestCase', ')', ':', '___EOS___']", "index": 45 } ]

[]

[]

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[ { "content": " def test_resource_policies(self):\n gc = Mock()\n resource_id = 'resource_key'\n pdpm = PolicyDecisionPointManager(gc)\n # see that the PDP for resource is empty\n self.assertEqual(pdpm.get_resource_pdp(resource_id), pdpm.empty_pdp)\n\n pdpm.load_resource_policy_rules(resource_id, self.permit_ION_MANAGER_rule )\n\n # see that the PDP for resource is not empty anymore\n self.assertNotEqual(pdpm.get_resource_pdp(resource_id), pdpm.empty_pdp)\n\n # check request without a resource_id raises NotFound error\n invocation = MagicMock()\n invocation.message_annotations = {}\n with self.assertRaises(NotFound) as chk_res:\n pdpm.check_resource_request_policies(invocation, None)\n self.assertIn(chk_res.exception.message, 'The resource_id is not set')\n\n # (really Not Applicable, because of the inelegant hack of a policy we are setting up our pdp with)\n mock_header = Mock()\n\n def get_header_value(key, default):\n return invocation.headers.get(key, default)\n mock_header.side_effect = get_header_value\n invocation.get_header_value = mock_header\n mock_args = Mock()\n\n class MockProcess(Mock):\n def check_test_value(self, process, message, headers):\n if message['argument1'] > 3:\n return False, 'The value of argument1 is larger than 3'\n return True, ''\n\n mock_process = MockProcess()\n mock_process.org_governance_name = 'org_name'\n invocation.args = {'process': mock_process}\n\n def get_arg_value(key, default):\n return invocation.args.get(key, default)\n mock_args.side_effect = get_arg_value\n invocation.get_arg_value = mock_args\n\n # check that, because actor does not have ION_MANAGER role, policy evaluates to a denial\n\n invocation.message_annotations = {}\n invocation.message = {'argument1': 0}\n invocation.headers = {'op': 'op', 'process': mock_process, 'request': 'request', 'ion-actor-id': 'ion-actor-id', 'receiver': 'resource-registry',\n 'sender-type': 'sender-type', 'sender-service': 'sender-service', 'ion-actor-roles': {'org_name': ['ion-actor-roles']}}\n\n invocation.get_message_sender.return_value = ['Unknown','Unknown']\n\n gc.system_root_org_name = 'sys_org_name'\n\n response = pdpm.check_resource_request_policies(invocation, resource_id)\n self.assertEqual(response.value, \"NotApplicable\")\n\n # check that policy evaluates to Permit because actor has ION_MANAGER role\n invocation.headers = {'op': 'op', 'process': mock_process, 'request': 'request', 'ion-actor-id': 'ion-actor-id', 'receiver': 'resource-registry',\n 'sender-type': 'sender-type', 'sender-service': 'sender-service', 'ion-actor-roles': {'sys_org_name': ['ION_MANAGER']}}\n invocation.message_annotations = {}\n response = pdpm.check_resource_request_policies(invocation, resource_id)\n self.assertEqual(response.value, \"Permit\")\n\n\n pdpm.load_resource_policy_rules(resource_id, self.deny_message_parameter_rule)\n\n invocation.message = {'argument1': 0}\n invocation.headers = {'op': 'op', 'process': mock_process, 'request': 'request', 'ion-actor-id': 'ion-actor-id', 'receiver': 'resource-registry',\n 'sender-type': 'sender-type', 'sender-service': 'sender-service', 'ion-actor-roles': {'sys_org_name': ['ION_MANAGER']}}\n invocation.message_annotations = {}\n response = pdpm.check_resource_request_policies(invocation, resource_id)\n self.assertEqual(response.value, \"Deny\")\n self.assertEqual(invocation.message_annotations.has_key('POLICY_STATUS_REASON'), True)\n self.assertEqual(invocation.message_annotations['POLICY_STATUS_REASON'],'The value of argument1 is less than or equal to 3')\n\n invocation.message = {'argument1': 5}\n invocation.headers = {'op': 'op', 'process': mock_process, 'request': 'request', 'ion-actor-id': 'ion-actor-id', 'receiver': 'resource-registry',\n 'sender-type': 'sender-type', 'sender-service': 'sender-service', 'ion-actor-roles': {'sys_org_name': ['ION_MANAGER']}}\n invocation.message_annotations = {}\n response = pdpm.check_resource_request_policies(invocation, resource_id)\n self.assertEqual(response.value, \"Permit\")\n self.assertEqual(invocation.message_annotations.has_key('POLICY_STATUS_REASON'), False)\n\n\n pdpm.load_resource_policy_rules(resource_id, self.deny_message_parameter_function_rule)\n\n invocation.message = {'argument1': 0}\n invocation.headers = {'op': 'op', 'process': mock_process, 'request': 'request', 'ion-actor-id': 'ion-actor-id', 'receiver': 'resource-registry',\n 'sender-type': 'sender-type', 'sender-service': 'sender-service', 'ion-actor-roles': {'sys_org_name': ['ION_MANAGER']}}\n invocation.message_annotations = {}\n response = pdpm.check_resource_request_policies(invocation, resource_id)\n self.assertEqual(response.value, \"Permit\")\n self.assertEqual(invocation.message_annotations.has_key('POLICY_STATUS_REASON'), False)\n\n invocation.message = {'argument1': 5}\n invocation.headers = {'op': 'op', 'process': mock_process, 'request': 'request', 'ion-actor-id': 'ion-actor-id', 'receiver': 'resource-registry',\n 'sender-type': 'sender-type', 'sender-service': 'sender-service', 'ion-actor-roles': {'sys_org_name': ['ION_MANAGER']}}\n invocation.message_annotations = {}\n response = pdpm.check_resource_request_policies(invocation, resource_id)\n self.assertEqual(invocation.message_annotations.has_key('POLICY_STATUS_REASON'), True)\n self.assertEqual(invocation.message_annotations['POLICY_STATUS_REASON'],'The value of argument1 is larger than 3')", "metadata": "root.PolicyDecisionUnitTest.test_resource_policies", "header": "['class', 'PolicyDecisionUnitTest', '(', 'PyonTestCase', ')', ':', '___EOS___']", "index": 122 } ]

[]

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[ { "content": " def _add_style(self, style):\n num_format_str = style.num_format_str\n if num_format_str in self._num_formats:\n num_format_idx = self._num_formats[num_format_str]\n else:\n num_format_idx = (\n FIRST_USER_DEFINED_NUM_FORMAT_IDX\n + len(self._num_formats)\n - len(StyleCollection._std_num_fmt_list)\n )\n self._num_formats[num_format_str] = num_format_idx\n\n font = style.font\n if font in self._font_id2x:\n font_idx = self._font_id2x[font]\n self.stats[0] += 1\n elif self.style_compression:\n search_key = font._search_key()\n font_idx = self._font_val2x.get(search_key)\n if font_idx is not None:\n self._font_id2x[font] = font_idx\n self.stats[1] += 1\n else:\n font_idx = len(self._font_x2id) + 1 # Why plus 1? Font 4 is missing\n self._font_id2x[font] = font_idx\n self._font_val2x[search_key] = font_idx\n self._font_x2id[font_idx] = font\n self.stats[2] += 1\n else:\n font_idx = len(self._font_id2x) + 1\n self._font_id2x[font] = font_idx\n self.stats[2] += 1\n\n gof = (style.alignment, style.borders, style.pattern, style.protection)\n xf = (font_idx, num_format_idx) + gof\n if xf in self._xf_id2x:\n xf_index = self._xf_id2x[xf]\n self.stats[3] += 1\n elif self.style_compression == 2:\n xf_key = (font_idx, num_format_idx) + tuple([obj._search_key() for obj in gof])\n xf_index = self._xf_val2x.get(xf_key)\n if xf_index is not None:\n self._xf_id2x[xf] = xf_index\n self.stats[4] += 1\n else:\n xf_index = 0x10 + len(self._xf_x2id)\n self._xf_id2x[xf] = xf_index\n self._xf_val2x[xf_key] = xf_index\n self._xf_x2id[xf_index] = xf\n self.stats[5] += 1\n else:\n xf_index = 0x10 + len(self._xf_id2x)\n self._xf_id2x[xf] = xf_index\n self.stats[5] += 1\n\n if xf_index >= 0xFFF:\n # 12 bits allowed, 0xFFF is a sentinel value\n raise ValueError(\"More than 4094 XFs (styles)\")\n\n return xf, xf_index", "metadata": "root.StyleCollection._add_style", "header": "['class', 'StyleCollection', '(', 'object', ')', ':', '___EOS___']", "index": 92 } ]

[]

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[ { "content": "\"\"\" Backend that reads access control rules from config file \"\"\"\nimport logging\nfrom collections import defaultdict\nfrom pyramid.security import Everyone, Authenticated\nfrom pyramid.settings import aslist, asbool\n\nfrom .base import IAccessBackend\n\n\nLOG = logging.getLogger(__name__)\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class ConfigAccessBackend(IAccessBackend):\n\n \"\"\" Access Backend that uses values set in the config file \"\"\"\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.ConfigAccessBackend", "header": "['module', '___EOS___']", "index": 12 }, { "content": " def __init__(self, request=None, settings=None, admins=None,\n group_map=None, user_groups=None, **kwargs):\n super(ConfigAccessBackend, self).__init__(request, **kwargs)\n self._settings = settings\n self.admins = admins\n self.group_map = group_map\n self.user_groups = user_groups", "metadata": "root.ConfigAccessBackend.__init__", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 16 }, { "content": " @classmethod\n def configure(cls, settings):\n kwargs = super(ConfigAccessBackend, cls).configure(settings)\n if asbool(settings.get('auth.zero_security_mode', False)):\n LOG.warn(\"Using deprecated option 'auth.zero_security_mode' \"\n \"(replaced by 'pypi.default_read' and \"\n \"'pypi.default_write'\")\n kwargs['default_read'] = [Everyone]\n kwargs['default_write'] = [Authenticated]\n kwargs['settings'] = settings\n kwargs['admins'] = aslist(settings.get('auth.admins', []))\n user_groups = defaultdict(list)\n group_map = {}\n\n # Build dict that maps users to list of groups\n for key, value in settings.iteritems():\n if not key.startswith('group.'):\n continue\n group_name = key[len('group.'):]\n members = aslist(value)\n group_map[group_name] = members\n for member in members:\n user_groups[member].append(group_name)\n kwargs['group_map'] = group_map\n kwargs['user_groups'] = user_groups\n return kwargs", "metadata": "root.ConfigAccessBackend.configure", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 24 }, { "content": " def _get_password_hash(self, username):\n key = \"user.%s\" % username\n return self._settings.get(key)", "metadata": "root.ConfigAccessBackend._get_password_hash", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 51 }, { "content": " def groups(self, username=None):\n if username is None:\n return self.group_map.keys()\n else:\n return self.user_groups[username]", "metadata": "root.ConfigAccessBackend.groups", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 55 }, { "content": " def group_members(self, group):\n return self.group_map.get(group, [])", "metadata": "root.ConfigAccessBackend.group_members", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 61 }, { "content": " def is_admin(self, username):\n return username in self.admins", "metadata": "root.ConfigAccessBackend.is_admin", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 64 }, { "content": " @staticmethod\n def _perms_from_short(value):\n \"\"\" Convert a 'r' or 'rw' specification to a list of permissions \"\"\"\n value = value or ''\n perms = []\n if 'r' in value:\n perms.append('read')\n if 'w' in value:\n perms.append('write')\n return perms", "metadata": "root.ConfigAccessBackend._perms_from_short", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 67 }, { "content": " def group_permissions(self, package, group=None):\n if group is not None:\n key = 'package.%s.group.%s' % (package, group)\n return self._perms_from_short(self._settings.get(key))\n perms = {}\n group_prefix = 'package.%s.group.' % package\n for key, value in self._settings.iteritems():\n if not key.startswith(group_prefix):\n continue\n group = key[len(group_prefix):]\n perms[group] = self._perms_from_short(value)\n return perms", "metadata": "root.ConfigAccessBackend.group_permissions", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 78 }, { "content": " def user_permissions(self, package, username=None):\n if username is not None:\n key = 'package.%s.user.%s' % (package, username)\n return self._perms_from_short(self._settings.get(key))\n perms = {}\n user_prefix = 'package.%s.user.' % package\n for key, value in self._settings.iteritems():\n if not key.startswith(user_prefix):\n continue\n user = key[len(user_prefix):]\n perms[user] = self._perms_from_short(value)\n return perms", "metadata": "root.ConfigAccessBackend.user_permissions", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 91 }, { "content": " def user_data(self, username=None):\n if username is not None:\n return {\n 'username': username,\n 'admin': self.is_admin(username),\n 'groups': self.groups(username),\n }\n users = []\n user_prefix = 'user.'\n for key in self._settings:\n if not key.startswith(user_prefix):\n continue\n username = key[len(user_prefix):]\n users.append({\n 'username': username,\n 'admin': self.is_admin(username)\n })\n return users", "metadata": "root.ConfigAccessBackend.user_data", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 104 }, { "content": " def user_package_permissions(self, username):\n perms = []\n for key, value in self._settings.iteritems():\n pieces = key.split('.')\n if (len(pieces) != 4 or pieces[0] != 'package' or\n pieces[2] != 'user'):\n continue\n package, user = pieces[1], pieces[3]\n if user == username:\n perms.append({\n 'package': package,\n 'permissions': self._perms_from_short(value),\n\n })\n return perms", "metadata": "root.ConfigAccessBackend.user_package_permissions", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 123 }, { "content": " def group_package_permissions(self, group):\n perms = []\n for key, value in self._settings.iteritems():\n pieces = key.split('.')\n if (len(pieces) != 4 or pieces[0] != 'package' or\n pieces[2] != 'group'):\n continue\n package, groupname = pieces[1], pieces[3]\n if group == groupname:\n perms.append({\n 'package': package,\n 'permissions': self._perms_from_short(value),\n\n })\n return perms", "metadata": "root.ConfigAccessBackend.group_package_permissions", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 139 }, { "content": " def load(self, data):\n lines = []\n admins = []\n for user in data['users']:\n lines.append('user.{username} = {password}'.format(**user))\n if user.get('admin'):\n admins.append(user['username'])\n\n if admins:\n lines.append('auth.admins =')\n for admin in admins:\n lines.append(' {0}'.format(admin))\n\n for group, members in data['groups'].iteritems():\n lines.append('group.{0} ='.format(group))\n for member in members:\n lines.append(' {0}'.format(member))\n\n def encode_permissions(perms):\n \"\"\" Encode a permissions list as the r/rw specification \"\"\"\n ret = ''\n if 'read' in perms:\n ret += 'r'\n if 'write' in perms:\n ret += 'w'\n return ret\n\n for package, groups in data['packages']['groups'].iteritems():\n for group, permissions in groups.iteritems():\n lines.append('package.{0}.group.{1} = {2}'\n .format(package, group,\n encode_permissions(permissions)))\n\n for package, users in data['packages']['users'].iteritems():\n for user, permissions in users.iteritems():\n lines.append('package.{0}.user.{1} = {2}'\n .format(package, user,\n encode_permissions(permissions)))\n\n return '\\n'.join(lines)", "metadata": "root.ConfigAccessBackend.load", "header": "['class', 'ConfigAccessBackend', '(', 'IAccessBackend', ')', ':', '___EOS___']", "index": 155 } ]

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[ { "content": "\"\"\"\ndifferential_evolution: The differential evolution global optimization algorithm\nAdded by Andrew Nelson 2014\n\"\"\"\nfrom __future__ import division, print_function, absolute_import\nimport numpy as np\nfrom scipy.optimize import OptimizeResult, minimize\nfrom scipy.optimize.optimize import _status_message\nimport numbers\n\n__all__ = ['differential_evolution']\n\n_MACHEPS = np.finfo(np.float64).eps\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def differential_evolution(func, bounds, args=(), strategy='best1bin',\n maxiter=1000, popsize=15, tol=0.01,\n mutation=(0.5, 1), recombination=0.7, seed=None,\n callback=None, disp=False, polish=True,\n init='latinhypercube'):\n \"\"\"Finds the global minimum of a multivariate function.\n Differential Evolution is stochastic in nature (does not use gradient\n methods) to find the minimium, and can search large areas of candidate\n space, but often requires larger numbers of function evaluations than\n conventional gradient based techniques.\n\n The algorithm is due to Storn and Price [1]_.\n\n Parameters\n ----------\n func : callable\n The objective function to be minimized. Must be in the form\n ``f(x, *args)``, where ``x`` is the argument in the form of a 1-D array\n and ``args`` is a tuple of any additional fixed parameters needed to\n completely specify the function.\n bounds : sequence\n Bounds for variables. ``(min, max)`` pairs for each element in ``x``,\n defining the lower and upper bounds for the optimizing argument of\n `func`. It is required to have ``len(bounds) == len(x)``.\n ``len(bounds)`` is used to determine the number of parameters in ``x``.\n args : tuple, optional\n Any additional fixed parameters needed to\n completely specify the objective function.\n strategy : str, optional\n The differential evolution strategy to use. Should be one of:\n\n - 'best1bin'\n - 'best1exp'\n - 'rand1exp'\n - 'randtobest1exp'\n - 'best2exp'\n - 'rand2exp'\n - 'randtobest1bin'\n - 'best2bin'\n - 'rand2bin'\n - 'rand1bin'\n\n The default is 'best1bin'.\n maxiter : int, optional\n The maximum number of generations over which the entire population is\n evolved. The maximum number of function evaluations (with no polishing)\n is: ``(maxiter + 1) * popsize * len(x)``\n popsize : int, optional\n A multiplier for setting the total population size. The population has\n ``popsize * len(x)`` individuals.\n tol : float, optional\n When the mean of the population energies, multiplied by tol,\n divided by the standard deviation of the population energies\n is greater than 1 the solving process terminates:\n ``convergence = mean(pop) * tol / stdev(pop) > 1``\n mutation : float or tuple(float, float), optional\n The mutation constant. In the literature this is also known as\n differential weight, being denoted by F.\n If specified as a float it should be in the range [0, 2].\n If specified as a tuple ``(min, max)`` dithering is employed. Dithering\n randomly changes the mutation constant on a generation by generation\n basis. The mutation constant for that generation is taken from\n ``U[min, max)``. Dithering can help speed convergence significantly.\n Increasing the mutation constant increases the search radius, but will\n slow down convergence.\n recombination : float, optional\n The recombination constant, should be in the range [0, 1]. In the\n literature this is also known as the crossover probability, being\n denoted by CR. Increasing this value allows a larger number of mutants\n to progress into the next generation, but at the risk of population\n stability.\n seed : int or `np.random.RandomState`, optional\n If `seed` is not specified the `np.RandomState` singleton is used.\n If `seed` is an int, a new `np.random.RandomState` instance is used,\n seeded with seed.\n If `seed` is already a `np.random.RandomState instance`, then that\n `np.random.RandomState` instance is used.\n Specify `seed` for repeatable minimizations.\n disp : bool, optional\n Display status messages\n callback : callable, `callback(xk, convergence=val)`, optional\n A function to follow the progress of the minimization. ``xk`` is\n the current value of ``x0``. ``val`` represents the fractional\n value of the population convergence. When ``val`` is greater than one\n the function halts. If callback returns `True`, then the minimization\n is halted (any polishing is still carried out).\n polish : bool, optional\n If True (default), then `scipy.optimize.minimize` with the `L-BFGS-B`\n method is used to polish the best population member at the end, which\n can improve the minimization slightly.\n init : string, optional\n Specify how the population initialization is performed. Should be\n one of:\n\n - 'latinhypercube'\n - 'random'\n\n The default is 'latinhypercube'. Latin Hypercube sampling tries to\n maximize coverage of the available parameter space. 'random' initializes\n the population randomly - this has the drawback that clustering can\n occur, preventing the whole of parameter space being covered.\n\n Returns\n -------\n res : OptimizeResult\n The optimization result represented as a `OptimizeResult` object.\n Important attributes are: ``x`` the solution array, ``success`` a\n Boolean flag indicating if the optimizer exited successfully and\n ``message`` which describes the cause of the termination. See\n `OptimizeResult` for a description of other attributes. If `polish`\n was employed, and a lower minimum was obtained by the polishing, then\n OptimizeResult also contains the ``jac`` attribute.\n\n Notes\n -----\n Differential evolution is a stochastic population based method that is\n useful for global optimization problems. At each pass through the population\n the algorithm mutates each candidate solution by mixing with other candidate\n solutions to create a trial candidate. There are several strategies [2]_ for\n creating trial candidates, which suit some problems more than others. The\n 'best1bin' strategy is a good starting point for many systems. In this\n strategy two members of the population are randomly chosen. Their difference\n is used to mutate the best member (the `best` in `best1bin`), :math:`b_0`,\n so far:\n\n .. math::\n\n b' = b_0 + mutation * (population[rand0] - population[rand1])\n\n A trial vector is then constructed. Starting with a randomly chosen 'i'th\n parameter the trial is sequentially filled (in modulo) with parameters from\n `b'` or the original candidate. The choice of whether to use `b'` or the\n original candidate is made with a binomial distribution (the 'bin' in\n 'best1bin') - a random number in [0, 1) is generated. If this number is\n less than the `recombination` constant then the parameter is loaded from\n `b'`, otherwise it is loaded from the original candidate. The final\n parameter is always loaded from `b'`. Once the trial candidate is built\n its fitness is assessed. If the trial is better than the original candidate\n then it takes its place. If it is also better than the best overall\n candidate it also replaces that.\n To improve your chances of finding a global minimum use higher `popsize`\n values, with higher `mutation` and (dithering), but lower `recombination`\n values. This has the effect of widening the search radius, but slowing\n convergence.\n\n .. versionadded:: 0.15.0\n\n Examples\n --------\n Let us consider the problem of minimizing the Rosenbrock function. This\n function is implemented in `rosen` in `scipy.optimize`.\n\n >>> from scipy.optimize import rosen, differential_evolution\n >>> bounds = [(0,2), (0, 2), (0, 2), (0, 2), (0, 2)]\n >>> result = differential_evolution(rosen, bounds)\n >>> result.x, result.fun\n (array([1., 1., 1., 1., 1.]), 1.9216496320061384e-19)\n\n Next find the minimum of the Ackley function\n (http://en.wikipedia.org/wiki/Test_functions_for_optimization).\n\n >>> from scipy.optimize import differential_evolution\n >>> import numpy as np\n >>> def ackley(x):\n ... arg1 = -0.2 * np.sqrt(0.5 * (x[0] ** 2 + x[1] ** 2))\n ... arg2 = 0.5 * (np.cos(2. * np.pi * x[0]) + np.cos(2. * np.pi * x[1]))\n ... return -20. * np.exp(arg1) - np.exp(arg2) + 20. + np.e\n >>> bounds = [(-5, 5), (-5, 5)]\n >>> result = differential_evolution(ackley, bounds)\n >>> result.x, result.fun\n (array([ 0., 0.]), 4.4408920985006262e-16)\n\n References\n ----------\n .. [1] Storn, R and Price, K, Differential Evolution - a Simple and\n Efficient Heuristic for Global Optimization over Continuous Spaces,\n Journal of Global Optimization, 1997, 11, 341 - 359.\n .. [2] http://www1.icsi.berkeley.edu/~storn/code.html\n .. [3] http://en.wikipedia.org/wiki/Differential_evolution\n \"\"\"\n\n solver = DifferentialEvolutionSolver(func, bounds, args=args,\n strategy=strategy, maxiter=maxiter,\n popsize=popsize, tol=tol,\n mutation=mutation,\n recombination=recombination,\n seed=seed, polish=polish,\n callback=callback,\n disp=disp,\n init=init)\n return solver.solve()", "metadata": "root.differential_evolution", "header": "['module', '___EOS___']", "index": 15 }, { "content": "class DifferentialEvolutionSolver(object):\n\n \"\"\"This class implements the differential evolution solver\n\n Parameters\n ----------\n func : callable\n The objective function to be minimized. Must be in the form\n ``f(x, *args)``, where ``x`` is the argument in the form of a 1-D array\n and ``args`` is a tuple of any additional fixed parameters needed to\n completely specify the function.\n bounds : sequence\n Bounds for variables. ``(min, max)`` pairs for each element in ``x``,\n defining the lower and upper bounds for the optimizing argument of\n `func`. It is required to have ``len(bounds) == len(x)``.\n ``len(bounds)`` is used to determine the number of parameters in ``x``.\n args : tuple, optional\n Any additional fixed parameters needed to\n completely specify the objective function.\n strategy : str, optional\n The differential evolution strategy to use. Should be one of:\n\n - 'best1bin'\n - 'best1exp'\n - 'rand1exp'\n - 'randtobest1exp'\n - 'best2exp'\n - 'rand2exp'\n - 'randtobest1bin'\n - 'best2bin'\n - 'rand2bin'\n - 'rand1bin'\n\n The default is 'best1bin'\n\n maxiter : int, optional\n The maximum number of generations over which the entire population is\n evolved. The maximum number of function evaluations (with no polishing)\n is: ``(maxiter + 1) * popsize * len(x)``\n popsize : int, optional\n A multiplier for setting the total population size. The population has\n ``popsize * len(x)`` individuals.\n tol : float, optional\n When the mean of the population energies, multiplied by tol,\n divided by the standard deviation of the population energies\n is greater than 1 the solving process terminates:\n ``convergence = mean(pop) * tol / stdev(pop) > 1``\n mutation : float or tuple(float, float), optional\n The mutation constant. In the literature this is also known as\n differential weight, being denoted by F.\n If specified as a float it should be in the range [0, 2].\n If specified as a tuple ``(min, max)`` dithering is employed. Dithering\n randomly changes the mutation constant on a generation by generation\n basis. The mutation constant for that generation is taken from\n U[min, max). Dithering can help speed convergence significantly.\n Increasing the mutation constant increases the search radius, but will\n slow down convergence.\n recombination : float, optional\n The recombination constant, should be in the range [0, 1]. In the\n literature this is also known as the crossover probability, being\n denoted by CR. Increasing this value allows a larger number of mutants\n to progress into the next generation, but at the risk of population\n stability.\n seed : int or `np.random.RandomState`, optional\n If `seed` is not specified the `np.random.RandomState` singleton is\n used.\n If `seed` is an int, a new `np.random.RandomState` instance is used,\n seeded with `seed`.\n If `seed` is already a `np.random.RandomState` instance, then that\n `np.random.RandomState` instance is used.\n Specify `seed` for repeatable minimizations.\n disp : bool, optional\n Display status messages\n callback : callable, `callback(xk, convergence=val)`, optional\n A function to follow the progress of the minimization. ``xk`` is\n the current value of ``x0``. ``val`` represents the fractional\n value of the population convergence. When ``val`` is greater than one\n the function halts. If callback returns `True`, then the minimization\n is halted (any polishing is still carried out).\n polish : bool, optional\n If True, then `scipy.optimize.minimize` with the `L-BFGS-B` method\n is used to polish the best population member at the end. This requires\n a few more function evaluations.\n maxfun : int, optional\n Set the maximum number of function evaluations. However, it probably\n makes more sense to set `maxiter` instead.\n init : string, optional\n Specify which type of population initialization is performed. Should be\n one of:\n\n - 'latinhypercube'\n - 'random'\n \"\"\"\n\n # Dispatch of mutation strategy method (binomial or exponential).\n _binomial = {'best1bin': '_best1',\n 'randtobest1bin': '_randtobest1',\n 'best2bin': '_best2',\n 'rand2bin': '_rand2',\n 'rand1bin': '_rand1'}\n _exponential = {'best1exp': '_best1',\n 'rand1exp': '_rand1',\n 'randtobest1exp': '_randtobest1',\n 'best2exp': '_best2',\n 'rand2exp': '_rand2'}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.DifferentialEvolutionSolver", "header": "['module', '___EOS___']", "index": 208 }, { "content": " def __init__(self, func, bounds, args=(),\n strategy='best1bin', maxiter=1000, popsize=15,\n tol=0.01, mutation=(0.5, 1), recombination=0.7, seed=None,\n maxfun=np.inf, callback=None, disp=False, polish=True,\n init='latinhypercube'):\n\n if strategy in self._binomial:\n self.mutation_func = getattr(self, self._binomial[strategy])\n elif strategy in self._exponential:\n self.mutation_func = getattr(self, self._exponential[strategy])\n else:\n raise ValueError(\"Please select a valid mutation strategy\")\n self.strategy = strategy\n\n self.callback = callback\n self.polish = polish\n self.tol = tol\n\n # Mutation constant should be in [0, 2). If specified as a sequence\n # then dithering is performed.\n self.scale = mutation\n if (not np.all(np.isfinite(mutation)) or\n np.any(np.array(mutation) >= 2) or\n np.any(np.array(mutation) < 0)):\n raise ValueError('The mutation constant must be a float in '\n 'U[0, 2), or specified as a tuple(min, max)'\n ' where min < max and min, max are in U[0, 2).')\n\n self.dither = None\n if hasattr(mutation, '__iter__') and len(mutation) > 1:\n self.dither = [mutation[0], mutation[1]]\n self.dither.sort()\n\n self.cross_over_probability = recombination\n\n self.func = func\n self.args = args\n\n # convert tuple of lower and upper bounds to limits\n # [(low_0, high_0), ..., (low_n, high_n]\n # -> [[low_0, ..., low_n], [high_0, ..., high_n]]\n self.limits = np.array(bounds, dtype='float').T\n if (np.size(self.limits, 0) != 2 or not\n np.all(np.isfinite(self.limits))):\n raise ValueError('bounds should be a sequence containing '\n 'real valued (min, max) pairs for each value'\n ' in x')\n\n if maxiter is None: # the default used to be None\n maxiter = 1000\n self.maxiter = maxiter\n if maxfun is None: # the default used to be None\n maxfun = np.inf\n self.maxfun = maxfun\n\n # population is scaled to between [0, 1].\n # We have to scale between parameter <-> population\n # save these arguments for _scale_parameter and\n # _unscale_parameter. This is an optimization\n self.__scale_arg1 = 0.5 * (self.limits[0] + self.limits[1])\n self.__scale_arg2 = np.fabs(self.limits[0] - self.limits[1])\n\n self.parameter_count = np.size(self.limits, 1)\n\n self.random_number_generator = _make_random_gen(seed)\n\n # default population initialization is a latin hypercube design, but\n # there are other population initializations possible.\n self.num_population_members = popsize * self.parameter_count\n\n self.population_shape = (self.num_population_members,\n self.parameter_count)\n\n self._nfev = 0\n if init == 'latinhypercube':\n self.init_population_lhs()\n elif init == 'random':\n self.init_population_random()\n else:\n raise ValueError(\"The population initialization method must be one\"\n \"of 'latinhypercube' or 'random'\")\n\n self.disp = disp", "metadata": "root.DifferentialEvolutionSolver.__init__", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 314 }, { "content": " def init_population_lhs(self):\n \"\"\"\n Initializes the population with Latin Hypercube Sampling.\n Latin Hypercube Sampling ensures that each parameter is uniformly\n sampled over its range.\n \"\"\"\n rng = self.random_number_generator\n\n # Each parameter range needs to be sampled uniformly. The scaled\n # parameter range ([0, 1)) needs to be split into\n # `self.num_population_members` segments, each of which has the following\n # size:\n segsize = 1.0 / self.num_population_members\n\n # Within each segment we sample from a uniform random distribution.\n # We need to do this sampling for each parameter.\n samples = (segsize * rng.random_sample(self.population_shape)\n\n # Offset each segment to cover the entire parameter range [0, 1)\n + np.linspace(0., 1., self.num_population_members,\n endpoint=False)[:, np.newaxis])\n\n # Create an array for population of candidate solutions.\n self.population = np.zeros_like(samples)\n\n # Initialize population of candidate solutions by permutation of the\n # random samples.\n for j in range(self.parameter_count):\n order = rng.permutation(range(self.num_population_members))\n self.population[:, j] = samples[order, j]\n\n # reset population energies\n self.population_energies = (np.ones(self.num_population_members) *\n np.inf)\n\n # reset number of function evaluations counter\n self._nfev = 0", "metadata": "root.DifferentialEvolutionSolver.init_population_lhs", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 398 }, { "content": " def init_population_random(self):\n \"\"\"\n Initialises the population at random. This type of initialization\n can possess clustering, Latin Hypercube sampling is generally better.\n \"\"\"\n rng = self.random_number_generator\n self.population = rng.random_sample(self.population_shape)\n\n # reset population energies\n self.population_energies = (np.ones(self.num_population_members) *\n np.inf)\n\n # reset number of function evaluations counter\n self._nfev = 0", "metadata": "root.DifferentialEvolutionSolver.init_population_random", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 436 }, { "content": " @property\n def x(self):\n \"\"\"\n The best solution from the solver\n\n Returns\n -------\n x : ndarray\n The best solution from the solver.\n \"\"\"\n return self._scale_parameters(self.population[0])", "metadata": "root.DifferentialEvolutionSolver.x", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 451 }, { "content": " @property\n def convergence(self):\n \"\"\"\n The standard deviation of the population energies divided by their\n mean.\n \"\"\"\n return (np.std(self.population_energies) /\n np.abs(np.mean(self.population_energies) + _MACHEPS))", "metadata": "root.DifferentialEvolutionSolver.convergence", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 463 }, { "content": " def solve(self):\n \"\"\"\n Runs the DifferentialEvolutionSolver.\n\n Returns\n -------\n res : OptimizeResult\n The optimization result represented as a ``OptimizeResult`` object.\n Important attributes are: ``x`` the solution array, ``success`` a\n Boolean flag indicating if the optimizer exited successfully and\n ``message`` which describes the cause of the termination. See\n `OptimizeResult` for a description of other attributes. If `polish`\n was employed, and a lower minimum was obtained by the polishing,\n then OptimizeResult also contains the ``jac`` attribute.\n \"\"\"\n nit, warning_flag = 0, False\n status_message = _status_message['success']\n\n # The population may have just been initialized (all entries are\n # np.inf). If it has you have to calculate the initial energies.\n # Although this is also done in the evolve generator it's possible\n # that someone can set maxiter=0, at which point we still want the\n # initial energies to be calculated (the following loop isn't run).\n if np.all(np.isinf(self.population_energies)):\n self._calculate_population_energies()\n\n # do the optimisation.\n for nit in range(1, self.maxiter + 1):\n # evolve the population by a generation\n try:\n next(self)\n except StopIteration:\n warning_flag = True\n status_message = _status_message['maxfev']\n break\n\n if self.disp:\n print(\"differential_evolution step %d: f(x)= %g\"\n % (nit,\n self.population_energies[0]))\n\n # stop when the fractional s.d. of the population is less than tol\n # of the mean energy\n convergence = self.convergence\n\n if (self.callback and\n self.callback(self._scale_parameters(self.population[0]),\n convergence=self.tol / convergence) is True):\n\n warning_flag = True\n status_message = ('callback function requested stop early '\n 'by returning True')\n break\n\n if convergence < self.tol or warning_flag:\n break\n\n else:\n status_message = _status_message['maxiter']\n warning_flag = True\n\n DE_result = OptimizeResult(\n x=self.x,\n fun=self.population_energies[0],\n nfev=self._nfev,\n nit=nit,\n message=status_message,\n success=(warning_flag is not True))\n\n if self.polish:\n result = minimize(self.func,\n np.copy(DE_result.x),\n method='L-BFGS-B',\n bounds=self.limits.T,\n args=self.args)\n\n self._nfev += result.nfev\n DE_result.nfev = self._nfev\n\n if result.fun < DE_result.fun:\n DE_result.fun = result.fun\n DE_result.x = result.x\n DE_result.jac = result.jac\n # to keep internal state consistent\n self.population_energies[0] = result.fun\n self.population[0] = self._unscale_parameters(result.x)\n\n return DE_result", "metadata": "root.DifferentialEvolutionSolver.solve", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 472 }, { "content": " def _calculate_population_energies(self):\n \"\"\"\n Calculate the energies of all the population members at the same time.\n Puts the best member in first place. Useful if the population has just\n been initialised.\n \"\"\"\n for index, candidate in enumerate(self.population):\n if self._nfev > self.maxfun:\n break\n\n parameters = self._scale_parameters(candidate)\n self.population_energies[index] = self.func(parameters,\n *self.args)\n self._nfev += 1\n\n minval = np.argmin(self.population_energies)\n\n # put the lowest energy into the best solution position.\n lowest_energy = self.population_energies[minval]\n self.population_energies[minval] = self.population_energies[0]\n self.population_energies[0] = lowest_energy\n\n self.population[[0, minval], :] = self.population[[minval, 0], :]", "metadata": "root.DifferentialEvolutionSolver._calculate_population_energies", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 561 }, { "content": " def __iter__(self):\n return self", "metadata": "root.DifferentialEvolutionSolver.__iter__", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 585 }, { "content": " def __next__(self):\n \"\"\"\n Evolve the population by a single generation\n\n Returns\n -------\n x : ndarray\n The best solution from the solver.\n fun : float\n Value of objective function obtained from the best solution.\n \"\"\"\n # the population may have just been initialized (all entries are\n # np.inf). If it has you have to calculate the initial energies\n if np.all(np.isinf(self.population_energies)):\n self._calculate_population_energies()\n\n if self.dither is not None:\n self.scale = (self.random_number_generator.rand()\n * (self.dither[1] - self.dither[0]) + self.dither[0])\n\n for candidate in range(self.num_population_members):\n if self._nfev > self.maxfun:\n raise StopIteration\n\n # create a trial solution\n trial = self._mutate(candidate)\n\n # ensuring that it's in the range [0, 1)\n self._ensure_constraint(trial)\n\n # scale from [0, 1) to the actual parameter value\n parameters = self._scale_parameters(trial)\n\n # determine the energy of the objective function\n energy = self.func(parameters, *self.args)\n self._nfev += 1\n\n # if the energy of the trial candidate is lower than the\n # original population member then replace it\n if energy < self.population_energies[candidate]:\n self.population[candidate] = trial\n self.population_energies[candidate] = energy\n\n # if the trial candidate also has a lower energy than the\n # best solution then replace that as well\n if energy < self.population_energies[0]:\n self.population_energies[0] = energy\n self.population[0] = trial\n\n return self.x, self.population_energies[0]", "metadata": "root.DifferentialEvolutionSolver.__next__", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 588 }, { "content": " def next(self):\n \"\"\"\n Evolve the population by a single generation\n\n Returns\n -------\n x : ndarray\n The best solution from the solver.\n fun : float\n Value of objective function obtained from the best solution.\n \"\"\"\n # next() is required for compatibility with Python2.7.\n return self.__next__()", "metadata": "root.DifferentialEvolutionSolver.next", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 639 }, { "content": " def _scale_parameters(self, trial):\n \"\"\"\n scale from a number between 0 and 1 to parameters.\n \"\"\"\n return self.__scale_arg1 + (trial - 0.5) * self.__scale_arg2", "metadata": "root.DifferentialEvolutionSolver._scale_parameters", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 653 }, { "content": " def _unscale_parameters(self, parameters):\n \"\"\"\n scale from parameters to a number between 0 and 1.\n \"\"\"\n return (parameters - self.__scale_arg1) / self.__scale_arg2 + 0.5", "metadata": "root.DifferentialEvolutionSolver._unscale_parameters", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 659 }, { "content": " def _ensure_constraint(self, trial):\n \"\"\"\n make sure the parameters lie between the limits\n \"\"\"\n for index, param in enumerate(trial):\n if param > 1 or param < 0:\n trial[index] = self.random_number_generator.rand()", "metadata": "root.DifferentialEvolutionSolver._ensure_constraint", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 665 }, { "content": " def _mutate(self, candidate):\n \"\"\"\n create a trial vector based on a mutation strategy\n \"\"\"\n trial = np.copy(self.population[candidate])\n\n rng = self.random_number_generator\n\n fill_point = rng.randint(0, self.parameter_count)\n\n if (self.strategy == 'randtobest1exp' or\n self.strategy == 'randtobest1bin'):\n bprime = self.mutation_func(candidate,\n self._select_samples(candidate, 5))\n else:\n bprime = self.mutation_func(self._select_samples(candidate, 5))\n\n if self.strategy in self._binomial:\n crossovers = rng.rand(self.parameter_count)\n crossovers = crossovers < self.cross_over_probability\n # the last one is always from the bprime vector for binomial\n # If you fill in modulo with a loop you have to set the last one to\n # true. If you don't use a loop then you can have any random entry\n # be True.\n crossovers[fill_point] = True\n trial = np.where(crossovers, bprime, trial)\n return trial\n\n elif self.strategy in self._exponential:\n i = 0\n while (i < self.parameter_count and\n rng.rand() < self.cross_over_probability):\n\n trial[fill_point] = bprime[fill_point]\n fill_point = (fill_point + 1) % self.parameter_count\n i += 1\n\n return trial", "metadata": "root.DifferentialEvolutionSolver._mutate", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 673 }, { "content": " def _best1(self, samples):\n \"\"\"\n best1bin, best1exp\n \"\"\"\n r0, r1 = samples[:2]\n return (self.population[0] + self.scale *\n (self.population[r0] - self.population[r1]))", "metadata": "root.DifferentialEvolutionSolver._best1", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 712 }, { "content": " def _rand1(self, samples):\n \"\"\"\n rand1bin, rand1exp\n \"\"\"\n r0, r1, r2 = samples[:3]\n return (self.population[r0] + self.scale *\n (self.population[r1] - self.population[r2]))", "metadata": "root.DifferentialEvolutionSolver._rand1", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 720 }, { "content": " def _randtobest1(self, candidate, samples):\n \"\"\"\n randtobest1bin, randtobest1exp\n \"\"\"\n r0, r1 = samples[:2]\n bprime = np.copy(self.population[candidate])\n bprime += self.scale * (self.population[0] - bprime)\n bprime += self.scale * (self.population[r0] -\n self.population[r1])\n return bprime", "metadata": "root.DifferentialEvolutionSolver._randtobest1", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 728 }, { "content": " def _best2(self, samples):\n \"\"\"\n best2bin, best2exp\n \"\"\"\n r0, r1, r2, r3 = samples[:4]\n bprime = (self.population[0] + self.scale *\n (self.population[r0] + self.population[r1] -\n self.population[r2] - self.population[r3]))\n\n return bprime", "metadata": "root.DifferentialEvolutionSolver._best2", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 739 }, { "content": " def _rand2(self, samples):\n \"\"\"\n rand2bin, rand2exp\n \"\"\"\n r0, r1, r2, r3, r4 = samples\n bprime = (self.population[r0] + self.scale *\n (self.population[r1] + self.population[r2] -\n self.population[r3] - self.population[r4]))\n\n return bprime", "metadata": "root.DifferentialEvolutionSolver._rand2", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 750 }, { "content": " def _select_samples(self, candidate, number_samples):\n \"\"\"\n obtain random integers from range(self.num_population_members),\n without replacement. You can't have the original candidate either.\n \"\"\"\n idxs = list(range(self.num_population_members))\n idxs.remove(candidate)\n self.random_number_generator.shuffle(idxs)\n idxs = idxs[:number_samples]\n return idxs", "metadata": "root.DifferentialEvolutionSolver._select_samples", "header": "['class', 'DifferentialEvolutionSolver', '(', 'object', ')', ':', '___EOS___']", "index": 761 }, { "content": "def _make_random_gen(seed):\n \"\"\"Turn seed into a np.random.RandomState instance\n\n If seed is None, return the RandomState singleton used by np.random.\n If seed is an int, return a new RandomState instance seeded with seed.\n If seed is already a RandomState instance, return it.\n Otherwise raise ValueError.\n \"\"\"\n if seed is None or seed is np.random:\n return np.random.mtrand._rand\n if isinstance(seed, (numbers.Integral, np.integer)):\n return np.random.RandomState(seed)\n if isinstance(seed, np.random.RandomState):\n return seed\n raise ValueError('%r cannot be used to seed a numpy.random.RandomState'\n ' instance' % seed)", "metadata": "root._make_random_gen", "header": "['module', '___EOS___']", "index": 773 } ]

[]

[]

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[ { "content": " def test_builtin_fixtures(self):\n from autofixture.autofixtures import UserFixture\n self.assertEqual(autofixture.REGISTRY[User], UserFixture)", "metadata": "root.AutodiscoverTestCase.test_builtin_fixtures", "header": "['class', 'AutodiscoverTestCase', '(', 'TestCase', ')', ':', '___EOS___']", "index": 9 } ]

[]

[]

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[ { "content": " def __repr__(self):\n args = []\n if self._record:\n args.append(\"record=True\")\n if self._module is not sys.modules['warnings']:\n args.append(\"module=%r\" % self._module)\n name = type(self).__name__\n return \"%s(%s)\" % (name, \", \".join(args))", "metadata": "root._IgnoreWarnings.__repr__", "header": "['class', '_IgnoreWarnings', '(', 'object', ')', ':', '___EOS___']", "index": 345 } ]

[]

[]

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[ { "content": "def configure_sys_argv(compiler_name):\n # We're gonna play some tricks with argv here to pass info to distutils\n # which is really built for command line use. better way??\n global old_argv\n try:\n old_argv = sys.argv[:]\n except AttributeError:\n pass\n sys.argv = ['','build_ext','--compiler='+compiler_name]", "metadata": "root.configure_sys_argv", "header": "['module', '___EOS___']", "index": 164 } ]

[]

[]

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[ { "content": "# \n# AppScale Datastore Interface \n#\n__author__=\"Soo Hwan Park\"\n__date__=\"$2009.5.5 18:27:00$\"\n\nimport os\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class AppDBInterface:\n\n\n\n\n\n\n\n \n\n", "metadata": "root.AppDBInterface", "header": "['module', '___EOS___']", "index": 8 }, { "content": " def get_entity(self, table_name, row_key, column_names, txnid = 0): \n raise NotImplementedError(\"get_entity is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.get_entity", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 9 }, { "content": " def put_entity(self, table_name, row_key, column_names, cell_values, txnid = 0):\n raise NotImplementedError(\"put_entity is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.put_entity", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 12 }, { "content": " def put_entity_dict(self, table_name, row_key, value_dict):\n raise NotImplementedError(\"put_entity_dict is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.put_entity_dict", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 15 }, { "content": " def get_table(self, table_name, column_names, txnid = 0):\n raise NotImplementedError(\"get_table is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.get_table", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 18 }, { "content": " def delete_row(self, table_name, row_id, txnid = 0):\n raise NotImplementedError(\"delete_row is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.delete_row", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 21 }, { "content": " def get_schema(self, table_name):\n raise NotImplementedError(\"get_schema is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.get_schema", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 24 }, { "content": " def delete_table(self, table_name):\n raise NotImplementedError(\"delete_table is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.delete_table", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 27 }, { "content": " def commit(self, txnid):\n raise NotImplementedError(\"commit is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.commit", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 30 }, { "content": " def rollback(self, txnid):\n raise NotImplementedError(\"rollback is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.rollback", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 32 }, { "content": " def setup_transaction(self, txnid):\n raise NotImplementedError(\"rollback is not implemented in %s.\" % self.__class__)", "metadata": "root.AppDBInterface.setup_transaction", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 34 }, { "content": " def get_local_ip(self):\n try:\n local_ip = self.__local_ip\n except AttributeError:\n local_ip = None\n\n if local_ip is None:\n local_ip = os.environ.get(\"LOCAL_DB_IP\")\n\n if local_ip is None:\n raise Exception(\"Env var LOCAL_DB_IP was not set.\")\n else:\n self.__local_ip = local_ip\n\n return self.__local_ip", "metadata": "root.AppDBInterface.get_local_ip", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 38 }, { "content": " def get_master_ip(self):\n try:\n master_ip = self.__master_ip\n except AttributeError:\n master_ip = None\n\n if master_ip is None:\n master_ip = os.environ.get(\"MASTER_IP\")\n\n if master_ip is None:\n raise Exception(\"Env var MASTER_IP was not set.\")\n else:\n self.__master_ip = master_ip\n\n return self.__master_ip", "metadata": "root.AppDBInterface.get_master_ip", "header": "['class', 'AppDBInterface', ':', '___EOS___']", "index": 54 } ]

[]

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[ { "content": " def save_value(self, product, value):\n ProductAttributeValue = get_model('catalogue', 'ProductAttributeValue')\n try:\n value_obj = product.attribute_values.get(attribute=self)\n except ProductAttributeValue.DoesNotExist:\n # FileField uses False for announcing deletion of the file\n # not creating a new value\n delete_file = self.is_file and value is False\n if value is None or value == '' or delete_file:\n return\n value_obj = ProductAttributeValue.objects.create(\n product=product, attribute=self)\n\n if self.is_file:\n # File fields in Django are treated differently, see\n # django.db.models.fields.FileField and method save_form_data\n if value is None:\n # No change\n return\n elif value is False:\n # Delete file\n value_obj.delete()\n else:\n # New uploaded file\n value_obj.value = value\n value_obj.save()\n else:\n if value is None or value == '':\n value_obj.delete()\n return\n if value != value_obj.value:\n value_obj.value = value\n value_obj.save()", "metadata": "root.AbstractProductAttribute.save_value", "header": "['class', 'AbstractProductAttribute', '(', 'models', '.', 'Model', ')', ':', '___EOS___']", "index": 844 } ]

[]

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[ { "content": " def tearDown(self):\n \"\"\"\n Remove requiremnts.txt files that were written\n \"\"\"\n try:\n os.remove(self.requirements_path)\n except OSError:\n pass\n try:\n os.remove(self.alt_requirement_path)\n except OSError:\n pass", "metadata": "root.TestPipreqs.tearDown", "header": "['class', 'TestPipreqs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 172 } ]

[]

[]

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[ { "content": "def soundex(s):\n if not s:\n return s\n if isinstance(s, bytes):\n raise TypeError(_no_bytes_err)\n\n s = _normalize(s)\n\n replacements = (('bfpv', '1'),\n ('cgjkqsxz', '2'),\n ('dt', '3'),\n ('l', '4'),\n ('mn', '5'),\n ('r', '6'))\n result = [s[0]]\n count = 1\n\n # find would-be replacment for first character\n for lset, sub in replacements:\n if s[0].lower() in lset:\n last = sub\n break\n else:\n last = None\n\n for letter in s[1:]:\n for lset, sub in replacements:\n if letter.lower() in lset:\n if sub != last:\n result.append(sub)\n count += 1\n last = sub\n break\n else:\n last = None\n if count == 4:\n break\n\n result += '0'*(4-count)\n return ''.join(result)", "metadata": "root.soundex", "header": "['module', '___EOS___']", "index": 156 } ]

[]

[]

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[ { "content": " @override\n def get_network_visualization(self, desc):\n \"\"\"\n return visualization of network\n \"\"\"\n # save network description to temporary file\n temp_network_handle, temp_network_path = tempfile.mkstemp(suffix='.lua')\n os.write(temp_network_handle, desc)\n os.close(temp_network_handle)\n\n try: # do this in a try..finally clause to make sure we delete the temp file\n # build command line\n if config_value('torch_root') == '<PATHS>':\n torch_bin = 'th'\n else:\n torch_bin = os.path.join(config_value('torch_root'), 'bin', 'th')\n\n args = [torch_bin,\n os.path.join(os.path.dirname(os.path.dirname(digits.__file__)),'tools','torch','main.lua'),\n '--network=%s' % os.path.splitext(os.path.basename(temp_network_path))[0],\n '--networkDirectory=%s' % os.path.dirname(temp_network_path),\n '--subtractMean=none', # we are not providing a mean image\n '--visualizeModel=yes',\n '--type=float'\n ]\n\n # execute command\n p = subprocess.Popen(args,\n stdout=subprocess.PIPE,\n stderr=subprocess.STDOUT,\n close_fds=True,\n )\n\n regex = re.compile('\\x1b\\[[0-9;]*m', re.UNICODE) #TODO: need to include regular expression for MAC color codes\n\n # the network description will be accumulated from the command output\n # when collecting_net_definition==True\n collecting_net_definition = False\n desc = []\n unrecognized_output = []\n while p.poll() is None:\n for line in utils.nonblocking_readlines(p.stdout):\n if line is not None:\n # Remove whitespace and color codes. color codes are appended to beginning and end of line by torch binary i.e., 'th'. Check the below link for more information\n # https://groups.google.com/forum/#!searchin/torch7/color$20codes/torch7/8O_0lSgSzuA/Ih6wYg9fgcwJ\n line = regex.sub('', line)\n timestamp, level, message = TorchTrainTask.preprocess_output_torch(line.strip())\n if message:\n if message.startswith('Network definition'):\n collecting_net_definition = not collecting_net_definition\n else:\n if collecting_net_definition:\n desc.append(line)\n elif len(line):\n unrecognized_output.append(line)\n else:\n time.sleep(0.05)\n\n if not len(desc):\n # we did not find a network description\n raise NetworkVisualizationError(''.join(unrecognized_output))\n else:\n output = flask.Markup('<pre>')\n for line in desc:\n output += flask.Markup.escape(line)\n output += flask.Markup('</pre>')\n return output\n finally:\n os.remove(temp_network_path)", "metadata": "root.TorchFramework.get_network_visualization", "header": "['class', 'TorchFramework', '(', 'Framework', ')', ':', '___EOS___']", "index": 102 } ]

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[ { "content": " def __eq__(self, other):\n return (self.version == other.version and\n self.vrid == other.vrid and\n self.priority == other.priority and\n self.ip_addresses == other.ip_addresses and\n self.advertisement_interval == other.advertisement_interval and\n self.preempt_mode == other.preempt_mode and\n self.preempt_delay == other.preempt_delay and\n self.accept_mode == other.accept_mode and\n self.is_ipv6 == other.is_ipv6)", "metadata": "root.VRRPConfig.__eq__", "header": "['class', 'VRRPConfig', '(', 'object', ')', ':', '___EOS___']", "index": 145 } ]

[]

[]

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[ { "content": "class Article(models.Model):\n \"\"\"\n A simple Article model for testing\n \"\"\"\n site = models.ForeignKey('sites.Site', related_name=\"admin_articles\")\n title = models.CharField(max_length=100)\n title2 = models.CharField(max_length=100, verbose_name=\"another name\")\n created = models.DateTimeField()\n\n\n test_from_model_with_override.short_description = \"not What you Expect\"", "metadata": "root.Article", "header": "['module', '___EOS___']", "index": 2 } ]

[]

[]

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[ { "content": "# Copyright (C) 2012 Alex Nisnevich\n# Licensed under the MIT license\n\nfrom __future__ import absolute_import\nfrom __future__ import print_function\nfrom __future__ import unicode_literals\n\nimport re\nimport os\nimport urllib\n\nfrom MarkdownPP.Module import Module\nfrom MarkdownPP.Transform import Transform\n\nyoutube_url_re = re.compile('^!VIDEO\\s+\"http://www\\.youtube\\.com'\n '/embed/([a-zA-Z0-9\\-]*)\"')\nglowfoto_server_re = re.compile(\"<uploadform>(.*)</uploadform>\")\nglowfoto_image_re = re.compile(\"<thumburl>(.*)</thumburl>\")\ncodere = re.compile(\"^( |\\t)\")\nfencedcodere = re.compile(\"^```\\w*$\")\n\nplay_button_url = 'http://i.imgur.com/1IHylPh.png'\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class YoutubeEmbed(Module):\n \"\"\"\n Converts Youtube embed objects into links with screenshots,\n taken from Youtube.\n \"\"\"\n", "metadata": "root.YoutubeEmbed", "header": "['module', '___EOS___']", "index": 24 }, { "content": " def transform(self, data):\n transforms = []\n in_fenced_code_block = False\n linenum = 0\n\n for line in data:\n # Handling fenced code blocks (for Github-flavored markdown)\n if fencedcodere.search(line):\n if in_fenced_code_block:\n in_fenced_code_block = False\n else:\n in_fenced_code_block = True\n\n # Are we in a code block?\n if not in_fenced_code_block and not codere.search(line):\n match = youtube_url_re.search(line)\n if match:\n # find URL of youtube video and screenshot\n url = match.group(1)\n image_url = 'http://img.youtube.com/vi/%s/0.jpg' % url\n video_url = 'http://www.youtube.com/watch?v=%s' % url\n processed_image_dir = os.path.join('images', 'youtube')\n processed_image_path = os.path.join(processed_image_dir,\n '%s.png' % url)\n\n # do we already have a screenshot?\n if not os.path.isfile(processed_image_path):\n # try to add a play button to the screenshot\n try:\n import Image\n from tempfile import NamedTemporaryFile\n\n # create directories if needed\n if not os.path.exists(processed_image_dir):\n os.makedirs(processed_image_dir)\n\n # create temporary files for image operations\n screenshot_img = NamedTemporaryFile(suffix=\".jpg\")\n button_img = NamedTemporaryFile(suffix=\".png\")\n\n # grab screenshot and button image\n urllib.urlretrieve(image_url, screenshot_img.name)\n urllib.urlretrieve(play_button_url,\n button_img.name)\n\n # layer the images using PIL and save\n background = Image.open(screenshot_img.name)\n foreground = Image.open(button_img.name)\n background.paste(foreground, (90, 65), foreground)\n background.save(processed_image_path)\n\n except Exception as e:\n print('Unable to add play button to YouTube '\n 'screenshot (%s). Using the screenshot '\n 'on its own instead.' % e)\n\n image_link = ('[](%s)\\n' %\n (processed_image_path, video_url))\n transforms.append(Transform(linenum, \"swap\", image_link))\n\n linenum += 1\n\n return transforms", "metadata": "root.YoutubeEmbed.transform", "header": "['class', 'YoutubeEmbed', '(', 'Module', ')', ':', '___EOS___']", "index": 30 } ]

[]

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[ { "content": "from __future__ import unicode_literals\ntry:\n from django.conf.urls.defaults import patterns, include, handler500\nexcept ImportError:\n from django.conf.urls import patterns, include, handler500\nfrom django.conf import settings\nfrom django.contrib import admin\nfrom moderation.helpers import auto_discover\n\nadmin.autodiscover()\nauto_discover()\n\nhandler500\n\nurlpatterns = patterns(\n '',\n (r'^admin/', include(admin.site.urls)),\n (r'^media/(?P<path>.*)$', 'django.views.static.serve', {\n 'document_root': settings.MEDIA_ROOT}),\n)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

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[ { "content": "def main():\n import optparse\n parser = optparse.OptionParser(__doc__.strip())\n\n parser.add_option('-f', '--full-pathnames', '--full', action='store_true',\n help=\"Output the full pathnames, not just the relative.\")\n\n parser.add_option('-p', '--pythonify-filenames', '--remove-extensions',\n action='store_true',\n help=\"Remove filename extensions in the graph and \"\n \"replace slashes with dots.\")\n\n parser.add_option('-r', '--redundant', action='store_false', default=True,\n help=\"Do not eliminate redundant dependencies.\")\n\n parser.add_option('--fontsize', action='store', type='int',\n default=10,\n help=\"The size of the font to use for nodes.\")\n\n global opts\n opts, args = parser.parse_args()\n\n if not args:\n args = ['-']\n\n color_map = {}\n\n for fn in args:\n if fn == '-':\n f = sys.stdin\n else:\n f = open(fn)\n depends = read_depends(f)\n if opts.redundant:\n depends = eliminate_redundant_depends(depends)\n graph(depends, sys.stdout.write, opts.fontsize, color_map)", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 75 } ]

[]

[]

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[ { "content": "\nimport logging\n\nfrom decouple import config\nfrom fabric.api import local\n\nFOLDER = 'public'\nFOLDER = FOLDER.strip('/')\n\nlogging.basicConfig(level=logging.INFO)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def deploy():\n AWS_BUCKET_NAME = config('AWS_BUCKET_NAME')\n AWS_ACCESS_KEY_ID = config('AWS_ACCESS_KEY_ID')\n AWS_SECRET_ACCESS_KEY = config('AWS_SECRET_ACCESS_KEY')\n local(\"s3cmd sync {}/ s3://{} --acl-public --delete-removed \"\n \"--guess-mime-type --access_key={} --secret_key={}\".format(\n FOLDER,\n AWS_BUCKET_NAME,\n AWS_ACCESS_KEY_ID,\n AWS_SECRET_ACCESS_KEY\n )\n )", "metadata": "root.deploy", "header": "['module', '___EOS___']", "index": 12 }, { "content": "def test():\n local(\"python runtests.py\")", "metadata": "root.test", "header": "['module', '___EOS___']", "index": 26 }, { "content": "def runserver():\n local(\"cd %s && python -m SimpleHTTPServer\" % FOLDER)", "metadata": "root.runserver", "header": "['module', '___EOS___']", "index": 30 }, { "content": "def clean():\n local(\"rm -f .klasses.json\")\n local(\"rm -fr %s/*\" % FOLDER)\n local(\"mkdir -p %s/static\" % FOLDER)", "metadata": "root.clean", "header": "['module', '___EOS___']", "index": 34 }, { "content": "def collect_static():\n local(\"cp -r static %s/\" % FOLDER)", "metadata": "root.collect_static", "header": "['module', '___EOS___']", "index": 40 }, { "content": "def build_local():\n clean()\n collect_static()\n index_generator_for_version()\n build_for_version()", "metadata": "root.build_local", "header": "['module', '___EOS___']", "index": 44 }, { "content": "def index_generator_for_version():\n from build_tools.index_generator import main\n main()", "metadata": "root.index_generator_for_version", "header": "['module', '___EOS___']", "index": 51 }, { "content": "def build_for_version():\n from build_tools.compile_static import main\n main(out_folder=FOLDER)", "metadata": "root.build_for_version", "header": "['module', '___EOS___']", "index": 56 }, { "content": "def build():\n clean()\n logging.info(\"collecting statics\")\n collect_static()\n local(\"tox -c build.ini\")", "metadata": "root.build", "header": "['module', '___EOS___']", "index": 61 } ]

[]

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[ { "content": " def serialize(self):\n b = bytearray()\n b.extend(write_string(self.path))\n b.extend(int_struct.pack(self.version))\n return b", "metadata": "root.Delete.serialize", "header": "['class', 'Delete', '(', 'namedtuple', '(', \"'Delete'\", ',', \"'path version'\", ')', ')', ':', '___EOS___']", "index": 29 } ]

[]

[]

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[ { "content": " def test_generic_get_deploy_patch_capabilities(self):\n node = ironic_utils.get_test_node(driver='fake')\n self.flavor['extra_specs']['capabilities:boot_mode'] = 'bios'\n expected = [{'path': '/instance_info/capabilities',\n 'value': '{\"boot_mode\": \"bios\"}',\n 'op': 'add'}]\n expected += self._expected_deploy_patch\n patch = patcher.create(node).get_deploy_patch(\n self.instance, self.image_meta, self.flavor)\n self.assertEqual(sorted(expected), sorted(patch))", "metadata": "root.IronicDriverFieldsTestCase.test_generic_get_deploy_patch_capabilities", "header": "['class', 'IronicDriverFieldsTestCase', '(', 'test', '.', 'NoDBTestCase', ')', ':', '___EOS___']", "index": 71 } ]

[]

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[ { "content": "# -*- coding: utf-8 -*-\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\n# implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n# Ironic Client Release Notes documentation build configuration file, created\n# by sphinx-quickstart on Wed Dec 23 22:54:56 2015.\n#\n# This file is execfile()d with the current directory set to its\n# containing dir.\n#\n# Note that not all possible configuration values are present in this\n# autogenerated file.\n#\n# All configuration values have a default; values that are commented out\n# serve to show the default.\n\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here. If the directory is relative to the\n# documentation root, use os.path.abspath to make it absolute, like shown here.\n# sys.path.insert(0, os.path.abspath('.'))\n\n# -- General configuration ------------------------------------------------\n\n# If your documentation needs a minimal Sphinx version, state it here.\n# needs_sphinx = '1.0'\n\n# Add any Sphinx extension module names here, as strings. They can be\n# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom\n# ones.\nextensions = [\n 'oslosphinx',\n 'reno.sphinxext',\n]\n\n# Add any paths that contain templates here, relative to this directory.\ntemplates_path = ['_templates']\n\n# The suffix of source filenames.\nsource_suffix = '.rst'\n\n# The encoding of source files.\n# source_encoding = 'utf-8-sig'\n\n# The master toctree document.\nmaster_doc = 'index'\n\n# General information about the project.\nproject = u'Ironic Client Release Notes'\ncopyright = u'2015, Ironic Developers'\n\n# The version info for the project you're documenting, acts as replacement for\n# |version| and |release|, also used in various other places throughout the\n# built documents.\n#\nimport pbr.version\nironicclient_version = pbr.version.VersionInfo('python-ironicclient')\n# The short X.Y version.\nversion = ironicclient_version.canonical_version_string()\n# The full version, including alpha/beta/rc tags.\nrelease = ironicclient_version.version_string_with_vcs()\n\n# The language for content autogenerated by Sphinx. Refer to documentation\n# for a list of supported languages.\n# language = None\n\n# There are two options for replacing |today|: either, you set today to some\n# non-false value, then it is used:\n# today = ''\n# Else, today_fmt is used as the format for a strftime call.\n# today_fmt = '%B %d, %Y'\n\n# List of patterns, relative to source directory, that match files and\n# directories to ignore when looking for source files.\nexclude_patterns = []\n\n# The reST default role (used for this markup: `text`) to use for all\n# documents.\n# default_role = None\n\n# If true, '()' will be appended to :func: etc. cross-reference text.\n# add_function_parentheses = True\n\n# If true, the current module name will be prepended to all description\n# unit titles (such as .. function::).\n# add_module_names = True\n\n# If true, sectionauthor and moduleauthor directives will be shown in the\n# output. They are ignored by default.\n# show_authors = False\n\n# The name of the Pygments (syntax highlighting) style to use.\npygments_style = 'sphinx'\n\n# A list of ignored prefixes for module index sorting.\n# modindex_common_prefix = []\n\n# If true, keep warnings as \"system message\" paragraphs in the built documents.\n# keep_warnings = False\n\n\n# -- Options for HTML output ----------------------------------------------\n\n# The theme to use for HTML and HTML Help pages. See the documentation for\n# a list of builtin themes.\nhtml_theme = 'default'\n\n# Theme options are theme-specific and customize the look and feel of a theme\n# further. For a list of options available for each theme, see the\n# documentation.\n# html_theme_options = {}\n\n# Add any paths that contain custom themes here, relative to this directory.\n# html_theme_path = []\n\n# The name for this set of Sphinx documents. If None, it defaults to\n# \"<project> v<release> documentation\".\n# html_title = None\n\n# A shorter title for the navigation bar. Default is the same as html_title.\n# html_short_title = None\n\n# The name of an image file (relative to this directory) to place at the top\n# of the sidebar.\n# html_logo = None\n\n# The name of an image file (within the static path) to use as favicon of the\n# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32\n# pixels large.\n# html_favicon = None\n\n# Add any paths that contain custom static files (such as style sheets) here,\n# relative to this directory. They are copied after the builtin static files,\n# so a file named \"default.css\" will overwrite the builtin \"default.css\".\nhtml_static_path = ['_static']\n\n# Add any extra paths that contain custom files (such as robots.txt or\n# .htaccess) here, relative to this directory. These files are copied\n# directly to the root of the documentation.\n# html_extra_path = []\n\n# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,\n# using the given strftime format.\n# html_last_updated_fmt = '%b %d, %Y'\n\n# If true, SmartyPants will be used to convert quotes and dashes to\n# typographically correct entities.\n# html_use_smartypants = True\n\n# Custom sidebar templates, maps document names to template names.\n# html_sidebars = {}\n\n# Additional templates that should be rendered to pages, maps page names to\n# template names.\n# html_additional_pages = {}\n\n# If false, no module index is generated.\n# html_domain_indices = True\n\n# If false, no index is generated.\n# html_use_index = True\n\n# If true, the index is split into individual pages for each letter.\n# html_split_index = False\n\n# If true, links to the reST sources are added to the pages.\n# html_show_sourcelink = True\n\n# If true, \"Created using Sphinx\" is shown in the HTML footer. Default is True.\n# html_show_sphinx = True\n\n# If true, \"(C) Copyright ...\" is shown in the HTML footer. Default is True.\n# html_show_copyright = True\n\n# If true, an OpenSearch description file will be output, and all pages will\n# contain a <link> tag referring to it. The value of this option must be the\n# base URL from which the finished HTML is served.\n# html_use_opensearch = ''\n\n# This is the file name suffix for HTML files (e.g. \".xhtml\").\n# html_file_suffix = None\n\n# Output file base name for HTML help builder.\nhtmlhelp_basename = 'IronicClientReleaseNotesdoc'\n\n\n# -- Options for LaTeX output ---------------------------------------------\n\nlatex_elements = {\n # The paper size ('letterpaper' or 'a4paper').\n # 'papersize': 'letterpaper',\n\n # The font size ('10pt', '11pt' or '12pt').\n # 'pointsize': '10pt',\n\n # Additional stuff for the LaTeX preamble.\n # 'preamble': '',\n}\n\n# Grouping the document tree into LaTeX files. List of tuples\n# (source start file, target name, title,\n# author, documentclass [howto, manual, or own class]).\nlatex_documents = [\n ('index', 'IronicClientReleaseNotes.tex',\n u'Ironic Client Release Notes Documentation',\n u'Ironic Developers', 'manual'),\n]\n\n# The name of an image file (relative to this directory) to place at the top of\n# the title page.\n# latex_logo = None\n\n# For \"manual\" documents, if this is true, then toplevel headings are parts,\n# not chapters.\n# latex_use_parts = False\n\n# If true, show page references after internal links.\n# latex_show_pagerefs = False\n\n# If true, show URL addresses after external links.\n# latex_show_urls = False\n\n# Documents to append as an appendix to all manuals.\n# latex_appendices = []\n\n# If false, no module index is generated.\n# latex_domain_indices = True\n\n\n# -- Options for manual page output ---------------------------------------\n\n# One entry per manual page. List of tuples\n# (source start file, name, description, authors, manual section).\nman_pages = [\n ('index', 'ironicclientreleasenotes',\n u'Ironic Client Release Notes Documentation',\n [u'Ironic Developers'], 1)\n]\n\n# If true, show URL addresses after external links.\n# man_show_urls = False\n\n\n# -- Options for Texinfo output -------------------------------------------\n\n# Grouping the document tree into Texinfo files. List of tuples\n# (source start file, target name, title, author,\n# dir menu entry, description, category)\ntexinfo_documents = [\n ('index', 'IronicClientReleaseNotes',\n u'Ironic Client Release Notes Documentation',\n u'Ironic Developers', 'IronicClientReleaseNotes',\n 'Bare metal provisioning service client.',\n 'Miscellaneous'),\n]\n\n# Documents to append as an appendix to all manuals.\n# texinfo_appendices = []\n\n# If false, no module index is generated.\n# texinfo_domain_indices = True\n\n# How to display URL addresses: 'footnote', 'no', or 'inline'.\n# texinfo_show_urls = 'footnote'\n\n# If true, do not generate a @detailmenu in the \"Top\" node's menu.\n# texinfo_no_detailmenu = False\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": " @command(args=\"<mode> [paths]\", descr=\"change file mode (octal)\", allowed_opts=[\"R\"], req_args=['(int) arg', 'dir [dirs]'])\n def chmod(self):\n mode = int(str(self.args.single_int_arg), 8)\n mods = self.client.chmod(self.args.dir, mode, recurse=self.args.recurse)\n for line in format_results(mods, json_output=self.args.json):\n print line", "metadata": "root.CommandLineParser.chmod", "header": "['class', 'CommandLineParser', '(', 'object', ')', ':', '___EOS___']", "index": 537 } ]

[]

[]

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[ { "content": "\"\"\"Custom log handler for posting log messages to Gitter\"\"\"\n\nimport logging\n\nfrom util import log_to_gitter\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class GitterHandler(logging.Handler):\n \"\"\"Log handler used to send notifications to Gitter\"\"\"\n", "metadata": "root.GitterHandler", "header": "['module', '___EOS___']", "index": 7 }, { "content": " def emit(self, record):\n \"\"\"Sends the record info to Gitter.\"\"\"\n msg = str(self.format(record))\n if record.exc_info:\n exc = logging._defaultFormatter.formatException(record.exc_info)\n msg += \"\\n\" + exc\n\n log_to_gitter(msg)", "metadata": "root.GitterHandler.emit", "header": "['class', 'GitterHandler', '(', 'logging', '.', 'Handler', ')', ':', '___EOS___']", "index": 10 } ]

[]

[]

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[ { "content": "# Copyright 2014 Netflix, Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\"\"\"\n.. module: security_monkey.tests.test_elasticsearch_service\n :platform: Unix\n\n.. version:: $$VERSION$$\n.. moduleauthor:: Mike Grima <mgrima@netflix.com>\n\n\"\"\"\nimport json\n\nfrom security_monkey.datastore import NetworkWhitelistEntry, Account\nfrom security_monkey.tests import SecurityMonkeyTestCase\nfrom security_monkey import db\n\n# TODO: Make a ES test for spulec/moto, then make test cases that use it.\nfrom security_monkey.watchers.elasticsearch_service import ElasticSearchServiceItem\n\nCONFIG_ONE = {\n \"name\": \"es_test\",\n \"policy\": json.loads(b\"\"\"{\n \"Statement\": [\n {\n \"Action\": \"es:*\",\n \"Effect\": \"Allow\",\n \"Principal\": {\n \"AWS\": \"*\"\n },\n \"Resource\": \"arn:aws:es:us-east-1:012345678910:domain/es_test/*\",\n \"Sid\": \"\"\n }\n ],\n \"Version\": \"2012-10-17\"\n }\n \"\"\")\n}\n\nCONFIG_TWO = {\n \"name\": \"es_test_2\",\n \"policy\": json.loads(b\"\"\"{\n \"Version\": \"2012-10-17\",\n \"Statement\": [\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": \"*\",\n \"Action\": \"es:*\",\n \"Resource\": \"arn:aws:es:us-west-2:012345678910:domain/es_test_2/*\"\n }\n ]\n }\n \"\"\")\n}\n\nCONFIG_THREE = {\n \"name\": \"es_test_3\",\n \"policy\": json.loads(b\"\"\"{\n \"Version\": \"2012-10-17\",\n \"Statement\": [\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": {\n \"AWS\": \"arn:aws:iam::012345678910:root\"\n },\n \"Action\": \"es:*\",\n \"Resource\": \"arn:aws:es:eu-west-1:012345678910:domain/es_test_3/*\"\n },\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": \"*\",\n \"Action\": \"es:ESHttp*\",\n \"Resource\": \"arn:aws:es:eu-west-1:012345678910:domain/es_test_3/*\",\n \"Condition\": {\n \"IpAddress\": {\n \"aws:SourceIp\": [\n \"192.168.1.1/32\",\n \"10.0.0.1/8\"\n ]\n }\n }\n }\n ]\n }\n \"\"\")\n}\n\nCONFIG_FOUR = {\n \"name\": \"es_test_4\",\n \"policy\": json.loads(b\"\"\"{\n \"Version\": \"2012-10-17\",\n \"Statement\": [\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": {\n \"AWS\": \"arn:aws:iam::012345678910:root\"\n },\n \"Action\": \"es:*\",\n \"Resource\": \"arn:aws:es:us-east-1:012345678910:domain/es_test_4/*\"\n },\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": \"*\",\n \"Action\": \"es:ESHttp*\",\n \"Resource\": \"arn:aws:es:us-east-1:012345678910:domain/es_test_4/*\",\n \"Condition\": {\n \"IpAddress\": {\n \"aws:SourceIp\": [\n \"0.0.0.0/0\"\n ]\n }\n }\n }\n ]\n }\n \"\"\")\n}\n\nCONFIG_FIVE = {\n \"name\": \"es_test_5\",\n \"policy\": json.loads(b\"\"\"{\n \"Version\": \"2012-10-17\",\n \"Statement\": [\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": {\n \"AWS\": \"arn:aws:iam::012345678910:root\"\n },\n \"Action\": \"es:*\",\n \"Resource\": \"arn:aws:es:us-east-1:012345678910:domain/es_test_5/*\"\n },\n {\n \"Sid\": \"\",\n \"Effect\": \"Deny\",\n \"Principal\": {\n \"AWS\": \"arn:aws:iam::012345678910:role/not_this_role\"\n },\n \"Action\": \"es:*\",\n \"Resource\": \"arn:aws:es:us-east-1:012345678910:domain/es_test_5/*\"\n }\n ]\n }\n \"\"\")\n}\n\nCONFIG_SIX = {\n \"name\": \"es_test_6\",\n \"policy\": json.loads(b\"\"\"{\n \"Version\": \"2012-10-17\",\n \"Statement\": [\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": {\n \"AWS\": \"arn:aws:iam::012345678910:role/a_good_role\"\n },\n \"Action\": \"es:*\",\n \"Resource\": \"arn:aws:es:eu-west-1:012345678910:domain/es_test_6/*\"\n },\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": \"*\",\n \"Action\": \"es:ESHttp*\",\n \"Resource\": \"arn:aws:es:eu-west-1:012345678910:domain/es_test_6/*\",\n \"Condition\": {\n \"IpAddress\": {\n \"aws:SourceIp\": [\n \"192.168.1.1/32\",\n \"100.0.0.1/16\"\n ]\n }\n }\n }\n ]\n }\n \"\"\")\n}\n\nCONFIG_SEVEN = {\n \"name\": \"es_test_7\",\n \"policy\": json.loads(b\"\"\"{\n \"Version\": \"2012-10-17\",\n \"Statement\": [\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": {\n \"AWS\": \"arn:aws:iam::012345678910:role/a_good_role\"\n },\n \"Action\": \"es:*\",\n \"Resource\": \"arn:aws:es:eu-west-1:012345678910:domain/es_test_7/*\"\n },\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": \"*\",\n \"Action\": \"es:ESHttp*\",\n \"Resource\": \"arn:aws:es:eu-west-1:012345678910:domain/es_test_7/*\",\n \"Condition\": {\n \"IpAddress\": {\n \"aws:SourceIp\": [\n \"192.168.1.200/32\",\n \"10.0.0.1/8\"\n ]\n }\n }\n }\n ]\n }\n \"\"\")\n}\n\nCONFIG_EIGHT = {\n \"name\": \"es_test_8\",\n \"policy\": json.loads(b\"\"\"{\n \"Version\": \"2012-10-17\",\n \"Statement\": [\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": {\n \"AWS\": \"*\"\n },\n \"Action\": \"es:*\",\n \"Resource\": \"arn:aws:es:eu-west-1:012345678910:domain/es_test_8/*\"\n },\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": \"*\",\n \"Action\": \"es:ESHttp*\",\n \"Resource\": \"arn:aws:es:eu-west-1:012345678910:domain/es_test_8/*\",\n \"Condition\": {\n \"IpAddress\": {\n \"aws:SourceIp\": [\n \"192.168.1.1/32\",\n \"100.0.0.1/16\"\n ]\n }\n }\n }\n ]\n }\n \"\"\")\n}\n\nCONFIG_NINE = {\n \"name\": \"es_test_9\",\n \"policy\": json.loads(b\"\"\"{\n \"Version\": \"2012-10-17\",\n \"Statement\": [\n {\n \"Sid\": \"\",\n \"Effect\": \"Allow\",\n \"Principal\": {\n \"AWS\": \"arn:aws:iam::111111111111:root\"\n },\n \"Action\": \"es:*\",\n \"Resource\": \"arn:aws:es:us-east-1:012345678910:domain/es_test_9/*\"\n }\n ]\n }\n \"\"\")\n}\n\n\nWHITELIST_CIDRS = [\n (\"Test one\", \"192.168.1.1/32\"),\n (\"Test two\", \"100.0.0.1/16\"),\n]\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class ElasticSearchServiceTestCase(SecurityMonkeyTestCase):\n\n", "metadata": "root.ElasticSearchServiceTestCase", "header": "['module', '___EOS___']", "index": 289 }, { "content": " def setUp(self):\n self.es_items = [\n ElasticSearchServiceItem(region=\"us-east-1\", account=\"TEST_ACCOUNT\", name=\"es_test\", config=CONFIG_ONE),\n ElasticSearchServiceItem(region=\"us-west-2\", account=\"TEST_ACCOUNT\", name=\"es_test_2\", config=CONFIG_TWO),\n ElasticSearchServiceItem(region=\"eu-west-1\", account=\"TEST_ACCOUNT\", name=\"es_test_3\", config=CONFIG_THREE),\n ElasticSearchServiceItem(region=\"us-east-1\", account=\"TEST_ACCOUNT\", name=\"es_test_4\", config=CONFIG_FOUR),\n ElasticSearchServiceItem(region=\"us-east-1\", account=\"TEST_ACCOUNT\", name=\"es_test_5\", config=CONFIG_FIVE),\n ElasticSearchServiceItem(region=\"eu-west-1\", account=\"TEST_ACCOUNT\", name=\"es_test_6\", config=CONFIG_SIX),\n ElasticSearchServiceItem(region=\"eu-west-1\", account=\"TEST_ACCOUNT\", name=\"es_test_7\", config=CONFIG_SEVEN),\n ElasticSearchServiceItem(region=\"eu-west-1\", account=\"TEST_ACCOUNT\", name=\"es_test_8\", config=CONFIG_EIGHT),\n ElasticSearchServiceItem(region=\"us-east-1\", account=\"TEST_ACCOUNT\", name=\"es_test_9\", config=CONFIG_NINE),\n ]\n\n # Add the fake source account into the database:\n test_account = Account()\n test_account.name = \"TEST_ACCOUNT\"\n test_account.notes = \"TEST ACCOUNT\"\n test_account.s3_name = \"TEST_ACCOUNT\"\n test_account.number = \"012345678910\"\n test_account.role_name = \"TEST_ACCOUNT\"\n\n db.session.add(test_account)\n db.session.commit()", "metadata": "root.ElasticSearchServiceTestCase.setUp", "header": "['class', 'ElasticSearchServiceTestCase', '(', 'SecurityMonkeyTestCase', ')', ':', '___EOS___']", "index": 290 }, { "content": " def tearDown(self):\n # Remove the fake source account from the database:\n test_account = Account.query.filter(Account.number == \"012345678910\").first()\n if test_account is not None:\n db.session.delete(test_account)\n db.session.commit()", "metadata": "root.ElasticSearchServiceTestCase.tearDown", "header": "['class', 'ElasticSearchServiceTestCase', '(', 'SecurityMonkeyTestCase', ')', ':', '___EOS___']", "index": 314 }, { "content": " def test_es_auditor(self):\n from security_monkey.auditors.elasticsearch_service import ElasticSearchServiceAuditor\n es_auditor = ElasticSearchServiceAuditor(accounts=[\"012345678910\"])\n\n # Add some test network whitelists into this:\n es_auditor.network_whitelist = []\n for cidr in WHITELIST_CIDRS:\n whitelist_cidr = NetworkWhitelistEntry()\n whitelist_cidr.cidr = cidr[1]\n whitelist_cidr.name = cidr[0]\n\n es_auditor.network_whitelist.append(whitelist_cidr)\n\n for es_domain in self.es_items:\n es_auditor.check_es_access_policy(es_domain)\n\n # Check for correct number of issues located:\n # CONFIG ONE:\n self.assertEquals(len(self.es_items[0].audit_issues), 1)\n self.assertEquals(self.es_items[0].audit_issues[0].score, 20)\n\n # CONFIG TWO:\n self.assertEquals(len(self.es_items[1].audit_issues), 1)\n self.assertEquals(self.es_items[1].audit_issues[0].score, 20)\n\n # CONFIG THREE:\n self.assertEquals(len(self.es_items[2].audit_issues), 2)\n self.assertEquals(self.es_items[2].audit_issues[0].score, 5)\n self.assertEquals(self.es_items[2].audit_issues[1].score, 7)\n\n # CONFIG FOUR:\n self.assertEquals(len(self.es_items[3].audit_issues), 1)\n self.assertEquals(self.es_items[3].audit_issues[0].score, 20)\n\n # CONFIG FIVE:\n self.assertEquals(len(self.es_items[4].audit_issues), 0)\n\n # CONFIG SIX:\n self.assertEquals(len(self.es_items[5].audit_issues), 0)\n\n # CONFIG SEVEN:\n self.assertEquals(len(self.es_items[6].audit_issues), 3)\n self.assertEquals(self.es_items[6].audit_issues[0].score, 5)\n self.assertEquals(self.es_items[6].audit_issues[1].score, 5)\n self.assertEquals(self.es_items[6].audit_issues[2].score, 7)\n\n # CONFIG EIGHT:\n self.assertEquals(len(self.es_items[7].audit_issues), 1)\n self.assertEquals(self.es_items[7].audit_issues[0].score, 20)\n\n # CONFIG NINE:\n self.assertEquals(len(self.es_items[8].audit_issues), 2)\n self.assertEquals(self.es_items[8].audit_issues[0].score, 6)\n self.assertEquals(self.es_items[8].audit_issues[1].score, 10)", "metadata": "root.ElasticSearchServiceTestCase.test_es_auditor", "header": "['class', 'ElasticSearchServiceTestCase', '(', 'SecurityMonkeyTestCase', ')', ':', '___EOS___']", "index": 321 } ]

[]

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[ { "content": "class Graphic(OptionHelper):\n \"\"\" Graphic options for the metricsgraphics api.\n\n This class contains all graphics options for the metricsgraphics api.\n https://github.com/mozilla/metrics-graphics/wiki/Graphic\n\n \"\"\"\n _allowed_graphics = [\n \"aggregate_rollover\",\n \"animate_on_load\",\n \"area\",\n \"baselines\",\n \"chart_type\",\n \"custom_line_color_map\",\n \"decimals\",\n \"error\",\n \"format\",\n \"full_height\",\n \"full_width\",\n \"interpolate\",\n \"interpolate_tension\",\n \"legend\",\n \"legend_target\",\n \"linked\",\n \"lined_format\",\n \"list\",\n \"markers\",\n \"max_data_size\",\n \"mouseover\",\n \"mousemove\",\n \"mouseout\",\n \"point_size\",\n \"show_confidence_band\",\n \"show_rollover_text\",\n \"show_tooltips\",\n \"target\",\n \"transition_on_update\",\n \"x_rug\",\n \"y_rug\"\n ]\n\n _allowed_charts = [\"line\", \"histogram\", \"point\", \"bar\", \"missing-data\"]\n\n _allowed_interpolates = [\n \"cardinal\",\n \"linear\",\n \"linear-closed\",\n \"step\",\n \"step-before\",\n \"step-after\",\n \"basis\",\n \"basis-open\",\n \"basis-closed\",\n \"bundle\",\n \"cardinal-open\",\n \"cardinal-closed\",\n \"monotone\"\n ]\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.Graphic", "header": "['module', '___EOS___']", "index": 2 } ]

[]

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"\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_" ]

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[ { "content": "# Copyright (c) 2013 OpenStack Foundation.\n# All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n\nimport copy\nfrom datetime import datetime\nimport time\n\nfrom neutron_lib import constants\nfrom oslo_config import cfg\nfrom oslo_utils import uuidutils\nfrom webob import exc\n\nfrom neutron.api.v2 import attributes\nfrom neutron.common import constants as n_const\nfrom neutron import context\nfrom neutron.db import agents_db\nfrom neutron.db import db_base_plugin_v2\nfrom neutron.extensions import agent\nfrom neutron.tests.common import helpers\nfrom neutron.tests import tools\nfrom neutron.tests.unit.api.v2 import test_base\nfrom neutron.tests.unit.db import test_db_base_plugin_v2\n\n\n_uuid = uuidutils.generate_uuid\n_get_path = test_base._get_path\nL3_HOSTA = 'hosta'\nDHCP_HOSTA = 'hosta'\nL3_HOSTB = 'hostb'\nDHCP_HOSTC = 'hostc'\nLBAAS_HOSTA = 'hosta'\nLBAAS_HOSTB = 'hostb'\n\n\n\n\n# This plugin class is just for testing\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

[]

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"\\u\\u\\uNL\\u\\u\\u_", "#", " ", " ", " ", " ", " ", "http", "://", "www", ".", "apa", "che", ".", "org", "/", "license", "s", "/", "LICENSE", "-", "2.0_", "\\u\\u\\uNL\\u\\u\\u_", "#", "_", "\\u\\u\\uNL\\u\\u\\u_", "#", " ", " ", " ", " ", "Un", "less", " ", "require", "d", " ", "by", " ", "applica", "ble", " ", "law", " ", "or", " ", "agree", "d", " ", "to", " ", "in", " ", "writ", "ing", ",", " ", "software", "_", "\\u\\u\\uNL\\u\\u\\u_", "#", " ", " ", " ", " ", "distributed", " ", "under", " ", "the", " ", "License", " ", "is", " ", "distributed", " ", "on", " ", "an", " ", "\"", "AS", " ", "IS", "\"", " ", "BAS", "IS", ",", " ", "WITH", "OUT_", "\\u\\u\\uNL\\u\\u\\u_", "#", " ", " ", " ", " ", "WAR", "RAN", "TIES", " ", "OR", " ", "CONDITION", "S", " ", "OF", " ", "ANY", " ", "KIND", ",", " ", "eit", "her", " ", "express", " ", "or", " ", "impli", "ed", ".", " ", "See", " ", "the_", "\\u\\u\\uNL\\u\\u\\u_", "#", " ", " ", " ", " ", "License", " ", "for", " ", "the", " ", "specific", " ", "language", " ", "govern", "ing", " ", "permissi", "ons", " ", "and", " ", "limit", "ations_", "\\u\\u\\uNL\\u\\u\\u_", "#", " ", " ", " ", " ", "under", " ", "the", " ", "License", "._", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "import_", "copy_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "datetime_", "import_", "datetime_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "import_", "time_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "from_", "neut", "ron", "\\u", "lib_", "import_", "constants_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "oslo", "\\u", "config_", "import_", "cfg_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "oslo", "\\u", "utils_", "import_", "uuidutils_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "webob_", "import_", "exc_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "from_", "neutron_", "._", "api_", "._", "v2_", "import_", "attributes_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "neutron_", "._", "common_", "import_", "constants_", "as_", "n", "\\u", "const_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "neutron_", "import_", "context_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "neutron_", "._", "db_", "import_", "agent", "s", "\\u", "db_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "neutron_", "._", "db_", "import_", "db", "\\u", "base", "\\u", "plugin", "\\u", "v2_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "neutron_", "._", "extensions_", "import_", "agent_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "neutron_", "._", "tests_", "._", "common_", "import_", "helpers_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "neutron_", "._", "tests_", "import_", "tools_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "neutron_", "._", "tests_", "._", "unit_", "._", "api_", "._", "v2_", "import_", "test\\u", "base_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "from_", "neutron_", "._", "tests_", "._", "unit_", "._", "db_", "import_", "test\\u", "db", "\\u", "base", "\\u", "plugin", "\\u", "v2_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u", "uuid_", "=_", "uuidutils_", "._", "generat", "e\\u", "uuid_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u", "get", "\\u", "path_", "=_", "test\\u", "base_", "._", "\\u", "get", "\\u", "path_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "L3", "\\u", "HOST", "A_", "=_", "'", "host", "a", "'_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "DHC", "P", "\\u", "HOST", "A_", "=_", "'", "host", "a", "'_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "L3", "\\u", "HOST", "B_", "=_", "'", "host", "b", "'_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "DHC", "P", "\\u", "HOST", "C_", "=_", "'", "host", "c", "'_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "LB", "AA", "S", "\\u", "HOST", "A_", "=_", "'", "host", "a", "'_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "LB", "AA", "S", "\\u", "HOST", "B_", "=_", "'", "host", "b", "'_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "#", " ", "Thi", "s", " ", "plugin", " ", "class", " ", "is", " ", "just", " ", "for", " ", "testing_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_" ]

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[ { "content": "\"\"\"\nTimsort implementation. Mostly adapted from CPython's listobject.c.\n\nFor more information, see listsort.txt in CPython's source tree.\n\"\"\"\n\nfrom __future__ import print_function, absolute_import, division\n\nimport collections\n\nfrom numba import types\n\n\nTimsortImplementation = collections.namedtuple(\n 'TimsortImplementation',\n (# The compile function itself\n 'compile',\n # All subroutines exercised by test_sort\n 'count_run', 'binarysort', 'gallop_left', 'gallop_right',\n 'merge_init', 'merge_append', 'merge_pop',\n 'merge_compute_minrun', 'merge_lo', 'merge_hi', 'merge_at',\n 'merge_force_collapse', 'merge_collapse',\n # The top-level functions\n 'run_timsort', 'run_timsort_with_values'\n ))\n\n\n# The maximum number of entries in a MergeState's pending-runs stack.\n# This is enough to sort arrays of size up to about\n# 32 * phi ** MAX_MERGE_PENDING\n# where phi ~= 1.618. 85 is ridiculously large enough, good for an array\n# with 2**64 elements.\n# NOTE this implementation doesn't depend on it (the stack is dynamically\n# allocated), but it's still good to check as an invariant.\nMAX_MERGE_PENDING = 85\n\n# When we get into galloping mode, we stay there until both runs win less\n# often than MIN_GALLOP consecutive times. See listsort.txt for more info.\nMIN_GALLOP = 7\n\n# Start size for temp arrays.\nMERGESTATE_TEMP_SIZE = 256\n\n# A mergestate is a named tuple with the following members:\n# - *min_gallop* is an integer controlling when we get into galloping mode\n# - *keys* is a temp list for merging keys\n# - *values* is a temp list for merging values, if needed\n# - *pending* is a stack of pending runs to be merged\n# - *n* is the current stack length of *pending*\n\nMergeState = collections.namedtuple(\n 'MergeState', ('min_gallop', 'keys', 'values', 'pending', 'n'))\n\n\nMergeRun = collections.namedtuple('MergeRun', ('start', 'size'))\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def make_timsort_impl(wrap, make_temp_area):\n\n make_temp_area = wrap(make_temp_area)\n intp = types.intp\n zero = intp(0)\n\n @wrap\n def has_values(keys, values):\n return values is not keys\n\n @wrap\n def merge_init(keys):\n \"\"\"\n Initialize a MergeState for a non-keyed sort.\n \"\"\"\n temp_size = min(len(keys) // 2 + 1, MERGESTATE_TEMP_SIZE)\n temp_keys = make_temp_area(keys, temp_size)\n temp_values = temp_keys\n pending = [MergeRun(zero, zero)] * MAX_MERGE_PENDING\n return MergeState(intp(MIN_GALLOP), temp_keys, temp_values, pending, zero)\n\n @wrap\n def merge_init_with_values(keys, values):\n \"\"\"\n Initialize a MergeState for a keyed sort.\n \"\"\"\n temp_size = min(len(keys) // 2 + 1, MERGESTATE_TEMP_SIZE)\n temp_keys = make_temp_area(keys, temp_size)\n temp_values = make_temp_area(values, temp_size)\n pending = [MergeRun(zero, zero)] * MAX_MERGE_PENDING\n return MergeState(intp(MIN_GALLOP), temp_keys, temp_values, pending, zero)\n\n @wrap\n def merge_append(ms, run):\n \"\"\"\n Append a run on the merge stack.\n \"\"\"\n n = ms.n\n assert n < MAX_MERGE_PENDING\n ms.pending[n] = run\n return MergeState(ms.min_gallop, ms.keys, ms.values, ms.pending, n + 1)\n\n @wrap\n def merge_pop(ms):\n \"\"\"\n Pop the top run from the merge stack.\n \"\"\"\n return MergeState(ms.min_gallop, ms.keys, ms.values, ms.pending, ms.n - 1)\n\n @wrap\n def merge_getmem(ms, need):\n \"\"\"\n Ensure enough temp memory for 'need' items is available.\n \"\"\"\n alloced = len(ms.keys)\n if need <= alloced:\n return ms\n # Over-allocate\n while alloced < need:\n alloced = alloced << 1\n # Don't realloc! That can cost cycles to copy the old data, but\n # we don't care what's in the block.\n temp_keys = make_temp_area(ms.keys, alloced)\n if has_values(ms.keys, ms.values):\n temp_values = make_temp_area(ms.values, alloced)\n else:\n temp_values = temp_keys\n return MergeState(ms.min_gallop, temp_keys, temp_values, ms.pending, ms.n)\n\n @wrap\n def merge_adjust_gallop(ms, new_gallop):\n \"\"\"\n Modify the MergeState's min_gallop.\n \"\"\"\n return MergeState(intp(new_gallop), ms.keys, ms.values, ms.pending, ms.n)\n\n\n @wrap\n def LT(a, b):\n \"\"\"\n Trivial comparison function between two keys. This is factored out to\n make it clear where comparisons occur.\n \"\"\"\n return a < b\n\n @wrap\n def binarysort(keys, values, lo, hi, start):\n \"\"\"\n binarysort is the best method for sorting small arrays: it does\n few compares, but can do data movement quadratic in the number of\n elements.\n [lo, hi) is a contiguous slice of a list, and is sorted via\n binary insertion. This sort is stable.\n On entry, must have lo <= start <= hi, and that [lo, start) is already\n sorted (pass start == lo if you don't know!).\n \"\"\"\n assert lo <= start and start <= hi\n _has_values = has_values(keys, values)\n if lo == start:\n start += 1\n while start < hi:\n pivot = keys[start]\n # Bisect to find where to insert `pivot`\n # NOTE: bisection only wins over linear search if the comparison\n # function is much more expensive than simply moving data.\n l = lo\n r = start\n # Invariants:\n # pivot >= all in [lo, l).\n # pivot < all in [r, start).\n # The second is vacuously true at the start.\n while l < r:\n p = l + ((r - l) >> 1)\n if LT(pivot, keys[p]):\n r = p\n else:\n l = p+1\n\n # The invariants still hold, so pivot >= all in [lo, l) and\n # pivot < all in [l, start), so pivot belongs at l. Note\n # that if there are elements equal to pivot, l points to the\n # first slot after them -- that's why this sort is stable.\n # Slide over to make room (aka memmove()).\n for p in range(start, l, -1):\n keys[p] = keys[p - 1]\n keys[l] = pivot\n if _has_values:\n pivot_val = values[start]\n for p in range(start, l, -1):\n values[p] = values[p - 1]\n values[l] = pivot_val\n\n start += 1\n\n\n @wrap\n def count_run(keys, lo, hi):\n \"\"\"\n Return the length of the run beginning at lo, in the slice [lo, hi).\n lo < hi is required on entry. \"A run\" is the longest ascending sequence, with\n\n lo[0] <= lo[1] <= lo[2] <= ...\n\n or the longest descending sequence, with\n\n lo[0] > lo[1] > lo[2] > ...\n\n A tuple (length, descending) is returned, where boolean *descending*\n is set to 0 in the former case, or to 1 in the latter.\n For its intended use in a stable mergesort, the strictness of the defn of\n \"descending\" is needed so that the caller can safely reverse a descending\n sequence without violating stability (strict > ensures there are no equal\n elements to get out of order).\n \"\"\"\n assert lo < hi\n if lo + 1 == hi:\n # Trivial 1-long run\n return 1, False\n if LT(keys[lo + 1], keys[lo]):\n # Descending run\n for k in range(lo + 2, hi):\n if not LT(keys[k], keys[k - 1]):\n return k - lo, True\n return hi - lo, True\n else:\n # Ascending run\n for k in range(lo + 2, hi):\n if LT(keys[k], keys[k - 1]):\n return k - lo, False\n return hi - lo, False\n\n\n @wrap\n def gallop_left(key, a, start, stop, hint):\n \"\"\"\n Locate the proper position of key in a sorted vector; if the vector contains\n an element equal to key, return the position immediately to the left of\n the leftmost equal element. [gallop_right() does the same except returns\n the position to the right of the rightmost equal element (if any).]\n\n \"a\" is a sorted vector with stop elements, starting at a[start].\n stop must be > start.\n\n \"hint\" is an index at which to begin the search, start <= hint < stop.\n The closer hint is to the final result, the faster this runs.\n\n The return value is the int k in start..stop such that\n\n a[k-1] < key <= a[k]\n\n pretending that a[start-1] is minus infinity and a[stop] is plus infinity.\n IOW, key belongs at index k; or, IOW, the first k elements of a should\n precede key, and the last stop-start-k should follow key.\n\n See listsort.txt for info on the method.\n \"\"\"\n assert stop > start\n assert hint >= start and hint < stop\n n = stop - start\n\n # First, gallop from the hint to find a \"good\" subinterval for bisecting\n lastofs = 0\n ofs = 1\n if LT(a[hint], key):\n # a[hint] < key => gallop right, until\n # a[hint + lastofs] < key <= a[hint + ofs]\n maxofs = stop - hint\n while ofs < maxofs:\n if LT(a[hint + ofs], key):\n lastofs = ofs\n ofs = (ofs << 1) + 1\n if ofs <= 0:\n # Int overflow\n ofs = maxofs\n else:\n # key <= a[hint + ofs]\n break\n if ofs > maxofs:\n ofs = maxofs\n # Translate back to offsets relative to a[0]\n lastofs += hint\n ofs += hint\n else:\n # key <= a[hint] => gallop left, until\n # a[hint - ofs] < key <= a[hint - lastofs]\n maxofs = hint - start + 1\n while ofs < maxofs:\n if LT(a[hint - ofs], key):\n break\n else:\n # key <= a[hint - ofs]\n lastofs = ofs\n ofs = (ofs << 1) + 1\n if ofs <= 0:\n # Int overflow\n ofs = maxofs\n if ofs > maxofs:\n ofs = maxofs\n # Translate back to positive offsets relative to a[0]\n lastofs, ofs = hint - ofs, hint - lastofs\n\n assert start - 1 <= lastofs and lastofs < ofs and ofs <= stop\n # Now a[lastofs] < key <= a[ofs], so key belongs somewhere to the\n # right of lastofs but no farther right than ofs. Do a binary\n # search, with invariant a[lastofs-1] < key <= a[ofs].\n lastofs += 1\n while lastofs < ofs:\n m = lastofs + ((ofs - lastofs) >> 1)\n if LT(a[m], key):\n # a[m] < key\n lastofs = m + 1\n else:\n # key <= a[m]\n ofs = m\n # Now lastofs == ofs, so a[ofs - 1] < key <= a[ofs]\n return ofs\n\n\n @wrap\n def gallop_right(key, a, start, stop, hint):\n \"\"\"\n Exactly like gallop_left(), except that if key already exists in a[start:stop],\n finds the position immediately to the right of the rightmost equal value.\n\n The return value is the int k in start..stop such that\n\n a[k-1] <= key < a[k]\n\n The code duplication is massive, but this is enough different given that\n we're sticking to \"<\" comparisons that it's much harder to follow if\n written as one routine with yet another \"left or right?\" flag.\n \"\"\"\n assert stop > start\n assert hint >= start and hint < stop\n n = stop - start\n\n # First, gallop from the hint to find a \"good\" subinterval for bisecting\n lastofs = 0\n ofs = 1\n if LT(key, a[hint]):\n # key < a[hint] => gallop left, until\n # a[hint - ofs] <= key < a[hint - lastofs]\n maxofs = hint - start + 1\n while ofs < maxofs:\n if LT(key, a[hint - ofs]):\n lastofs = ofs\n ofs = (ofs << 1) + 1\n if ofs <= 0:\n # Int overflow\n ofs = maxofs\n else:\n # a[hint - ofs] <= key\n break\n if ofs > maxofs:\n ofs = maxofs\n # Translate back to positive offsets relative to a[0]\n lastofs, ofs = hint - ofs, hint - lastofs\n else:\n # a[hint] <= key -- gallop right, until\n # a[hint + lastofs] <= key < a[hint + ofs]\n maxofs = stop - hint\n while ofs < maxofs:\n if LT(key, a[hint + ofs]):\n break\n else:\n # a[hint + ofs] <= key\n lastofs = ofs\n ofs = (ofs << 1) + 1\n if ofs <= 0:\n # Int overflow\n ofs = maxofs\n if ofs > maxofs:\n ofs = maxofs\n # Translate back to offsets relative to a[0]\n lastofs += hint\n ofs += hint\n\n assert start - 1 <= lastofs and lastofs < ofs and ofs <= stop\n # Now a[lastofs] <= key < a[ofs], so key belongs somewhere to the\n # right of lastofs but no farther right than ofs. Do a binary\n # search, with invariant a[lastofs-1] <= key < a[ofs].\n lastofs += 1\n while lastofs < ofs:\n m = lastofs + ((ofs - lastofs) >> 1)\n if LT(key, a[m]):\n # key < a[m]\n ofs = m\n else:\n # a[m] <= key\n lastofs = m + 1\n # Now lastofs == ofs, so a[ofs - 1] <= key < a[ofs]\n return ofs\n\n\n @wrap\n def merge_compute_minrun(n):\n \"\"\"\n Compute a good value for the minimum run length; natural runs shorter\n than this are boosted artificially via binary insertion.\n\n If n < 64, return n (it's too small to bother with fancy stuff).\n Else if n is an exact power of 2, return 32.\n Else return an int k, 32 <= k <= 64, such that n/k is close to, but\n strictly less than, an exact power of 2.\n\n See listsort.txt for more info.\n \"\"\"\n r = 0\n assert n >= 0\n while n >= 64:\n r |= n & 1\n n >>= 1\n return n + r\n\n\n @wrap\n def sortslice_copy(dest_keys, dest_values, dest_start,\n src_keys, src_values, src_start,\n nitems):\n \"\"\"\n Upwards memcpy().\n \"\"\"\n assert src_start >= 0\n assert dest_start >= 0\n for i in range(nitems):\n dest_keys[dest_start + i] = src_keys[src_start + i]\n if has_values(src_keys, src_values):\n for i in range(nitems):\n dest_values[dest_start + i] = src_values[src_start + i]\n\n @wrap\n def sortslice_copy_down(dest_keys, dest_values, dest_start,\n src_keys, src_values, src_start,\n nitems):\n \"\"\"\n Downwards memcpy().\n \"\"\"\n assert src_start >= 0\n assert dest_start >= 0\n for i in range(nitems):\n dest_keys[dest_start - i] = src_keys[src_start - i]\n if has_values(src_keys, src_values):\n for i in range(nitems):\n dest_values[dest_start - i] = src_values[src_start - i]\n\n\n # Disable this for debug or perf comparison\n DO_GALLOP = 1\n\n @wrap\n def merge_lo(ms, keys, values, ssa, na, ssb, nb):\n \"\"\"\n Merge the na elements starting at ssa with the nb elements starting at\n ssb = ssa + na in a stable way, in-place. na and nb must be > 0,\n and should have na <= nb. See listsort.txt for more info.\n\n An updated MergeState is returned (with possibly a different min_gallop\n or larger temp arrays).\n\n NOTE: compared to CPython's timsort, the requirement that\n \"Must also have that keys[ssa + na - 1] belongs at the end of the merge\"\n\n is removed. This makes the code a bit simpler and easier to reason about.\n \"\"\"\n assert na > 0 and nb > 0 and na <= nb\n assert ssb == ssa + na\n # First copy [ssa, ssa + na) into the temp space\n ms = merge_getmem(ms, na)\n sortslice_copy(ms.keys, ms.values, 0,\n keys, values, ssa,\n na)\n a_keys = ms.keys\n a_values = ms.values\n b_keys = keys\n b_values = values\n dest = ssa\n ssa = 0\n\n _has_values = has_values(a_keys, a_values)\n min_gallop = ms.min_gallop\n\n # Now start merging into the space left from [ssa, ...)\n\n while nb > 0 and na > 0:\n # Do the straightforward thing until (if ever) one run\n # appears to win consistently.\n acount = 0\n bcount = 0\n\n while True:\n if LT(b_keys[ssb], a_keys[ssa]):\n keys[dest] = b_keys[ssb]\n if _has_values:\n values[dest] = b_values[ssb]\n dest += 1\n ssb += 1\n nb -= 1\n if nb == 0:\n break\n # It's a B run\n bcount += 1\n acount = 0\n if bcount >= min_gallop:\n break\n else:\n keys[dest] = a_keys[ssa]\n if _has_values:\n values[dest] = a_values[ssa]\n dest += 1\n ssa += 1\n na -= 1\n if na == 0:\n break\n # It's a A run\n acount += 1\n bcount = 0\n if acount >= min_gallop:\n break\n\n # One run is winning so consistently that galloping may\n # be a huge win. So try that, and continue galloping until\n # (if ever) neither run appears to be winning consistently\n # anymore.\n if DO_GALLOP and na > 0 and nb > 0:\n min_gallop += 1\n\n while acount >= MIN_GALLOP or bcount >= MIN_GALLOP:\n # As long as we gallop without leaving this loop, make\n # the heuristic more likely\n min_gallop -= min_gallop > 1\n\n # Gallop in A to find where keys[ssb] should end up\n k = gallop_right(b_keys[ssb], a_keys, ssa, ssa + na, ssa)\n # k is an index, make it a size\n k -= ssa\n acount = k\n if k > 0:\n # Copy everything from A before k\n sortslice_copy(keys, values, dest,\n a_keys, a_values, ssa,\n k)\n dest += k\n ssa += k\n na -= k\n if na == 0:\n # Finished merging\n break\n # Copy keys[ssb]\n keys[dest] = b_keys[ssb]\n if _has_values:\n values[dest] = b_values[ssb]\n dest += 1\n ssb += 1\n nb -= 1\n if nb == 0:\n # Finished merging\n break\n\n # Gallop in B to find where keys[ssa] should end up\n k = gallop_left(a_keys[ssa], b_keys, ssb, ssb + nb, ssb)\n # k is an index, make it a size\n k -= ssb\n bcount = k\n if k > 0:\n # Copy everything from B before k\n # NOTE: source and dest are the same buffer, but the\n # destination index is below the source index\n sortslice_copy(keys, values, dest,\n b_keys, b_values, ssb,\n k)\n dest += k\n ssb += k\n nb -= k\n if nb == 0:\n # Finished merging\n break\n # Copy keys[ssa]\n keys[dest] = a_keys[ssa]\n if _has_values:\n values[dest] = a_values[ssa]\n dest += 1\n ssa += 1\n na -= 1\n if na == 0:\n # Finished merging\n break\n\n # Penalize it for leaving galloping mode\n min_gallop += 1\n\n # Merge finished, now handle the remaining areas\n if nb == 0:\n # Only A remaining to copy at the end of the destination area\n sortslice_copy(keys, values, dest,\n a_keys, a_values, ssa,\n na)\n else:\n assert na == 0\n assert dest == ssb\n # B's tail is already at the right place, do nothing\n\n return merge_adjust_gallop(ms, min_gallop)\n\n\n @wrap\n def merge_hi(ms, keys, values, ssa, na, ssb, nb):\n \"\"\"\n Merge the na elements starting at ssa with the nb elements starting at\n ssb = ssa + na in a stable way, in-place. na and nb must be > 0,\n and should have na >= nb. See listsort.txt for more info.\n\n An updated MergeState is returned (with possibly a different min_gallop\n or larger temp arrays).\n\n NOTE: compared to CPython's timsort, the requirement that\n \"Must also have that keys[ssa + na - 1] belongs at the end of the merge\"\n\n is removed. This makes the code a bit simpler and easier to reason about.\n \"\"\"\n assert na > 0 and nb > 0 and na >= nb\n assert ssb == ssa + na\n # First copy [ssb, ssb + nb) into the temp space\n ms = merge_getmem(ms, nb)\n sortslice_copy(ms.keys, ms.values, 0,\n keys, values, ssb,\n nb)\n a_keys = keys\n a_values = values\n b_keys = ms.keys\n b_values = ms.values\n\n # Now start merging *in descending order* into the space left\n # from [..., ssb + nb).\n dest = ssb + nb - 1\n ssb = nb - 1\n ssa = ssa + na - 1\n\n _has_values = has_values(b_keys, b_values)\n min_gallop = ms.min_gallop\n\n while nb > 0 and na > 0:\n # Do the straightforward thing until (if ever) one run\n # appears to win consistently.\n acount = 0\n bcount = 0\n\n while True:\n if LT(b_keys[ssb], a_keys[ssa]):\n # We merge in descending order, so copy the larger value\n keys[dest] = a_keys[ssa]\n if _has_values:\n values[dest] = a_values[ssa]\n dest -= 1\n ssa -= 1\n na -= 1\n if na == 0:\n break\n # It's a A run\n acount += 1\n bcount = 0\n if acount >= min_gallop:\n break\n else:\n keys[dest] = b_keys[ssb]\n if _has_values:\n values[dest] = b_values[ssb]\n dest -= 1\n ssb -= 1\n nb -= 1\n if nb == 0:\n break\n # It's a B run\n bcount += 1\n acount = 0\n if bcount >= min_gallop:\n break\n\n # One run is winning so consistently that galloping may\n # be a huge win. So try that, and continue galloping until\n # (if ever) neither run appears to be winning consistently\n # anymore.\n if DO_GALLOP and na > 0 and nb > 0:\n min_gallop += 1\n\n while acount >= MIN_GALLOP or bcount >= MIN_GALLOP:\n # As long as we gallop without leaving this loop, make\n # the heuristic more likely\n min_gallop -= min_gallop > 1\n\n # Gallop in A to find where keys[ssb] should end up\n k = gallop_right(b_keys[ssb], a_keys, ssa - na + 1, ssa + 1, ssa)\n # k is an index, make it a size from the end\n k = ssa + 1 - k\n acount = k\n if k > 0:\n # Copy everything from A after k.\n # Destination and source are the same buffer, and destination\n # index is greater, so copy from the end to the start.\n sortslice_copy_down(keys, values, dest,\n a_keys, a_values, ssa,\n k)\n dest -= k\n ssa -= k\n na -= k\n if na == 0:\n # Finished merging\n break\n # Copy keys[ssb]\n keys[dest] = b_keys[ssb]\n if _has_values:\n values[dest] = b_values[ssb]\n dest -= 1\n ssb -= 1\n nb -= 1\n if nb == 0:\n # Finished merging\n break\n\n # Gallop in B to find where keys[ssa] should end up\n k = gallop_left(a_keys[ssa], b_keys, ssb - nb + 1, ssb + 1, ssb)\n # k is an index, make it a size from the end\n k = ssb + 1 - k\n bcount = k\n if k > 0:\n # Copy everything from B before k\n sortslice_copy_down(keys, values, dest,\n b_keys, b_values, ssb,\n k)\n dest -= k\n ssb -= k\n nb -= k\n if nb == 0:\n # Finished merging\n break\n # Copy keys[ssa]\n keys[dest] = a_keys[ssa]\n if _has_values:\n values[dest] = a_values[ssa]\n dest -= 1\n ssa -= 1\n na -= 1\n if na == 0:\n # Finished merging\n break\n\n # Penalize it for leaving galloping mode\n min_gallop += 1\n\n # Merge finished, now handle the remaining areas\n if na == 0:\n # Only B remaining to copy at the front of the destination area\n sortslice_copy(keys, values, dest - nb + 1,\n b_keys, b_values, ssb - nb + 1,\n nb)\n else:\n assert nb == 0\n assert dest == ssa\n # A's front is already at the right place, do nothing\n\n return merge_adjust_gallop(ms, min_gallop)\n\n\n @wrap\n def merge_at(ms, keys, values, i):\n \"\"\"\n Merge the two runs at stack indices i and i+1.\n\n An updated MergeState is returned.\n \"\"\"\n n = ms.n\n assert n >= 2\n assert i >= 0\n assert i == n - 2 or i == n - 3\n\n ssa, na = ms.pending[i]\n ssb, nb = ms.pending[i + 1]\n assert na > 0 and nb > 0\n assert ssa + na == ssb\n\n # Record the length of the combined runs; if i is the 3rd-last\n # run now, also slide over the last run (which isn't involved\n # in this merge). The current run i+1 goes away in any case.\n ms.pending[i] = MergeRun(ssa, na + nb)\n if i == n - 3:\n ms.pending[i + 1] = ms.pending[i + 2]\n ms = merge_pop(ms)\n\n # Where does b start in a? Elements in a before that can be\n # ignored (already in place).\n k = gallop_right(keys[ssb], keys, ssa, ssa + na, ssa)\n # [k, ssa + na) remains to be merged\n na -= k - ssa\n ssa = k\n if na == 0:\n return ms\n\n # Where does a end in b? Elements in b after that can be\n # ignored (already in place).\n k = gallop_left(keys[ssa + na - 1], keys, ssb, ssb + nb, ssb + nb - 1)\n # [ssb, k) remains to be merged\n nb = k - ssb\n\n # Merge what remains of the runs, using a temp array with\n # min(na, nb) elements.\n if na <= nb:\n return merge_lo(ms, keys, values, ssa, na, ssb, nb)\n else:\n return merge_hi(ms, keys, values, ssa, na, ssb, nb)\n\n\n @wrap\n def merge_collapse(ms, keys, values):\n \"\"\"\n Examine the stack of runs waiting to be merged, merging adjacent runs\n until the stack invariants are re-established:\n\n 1. len[-3] > len[-2] + len[-1]\n 2. len[-2] > len[-1]\n\n An updated MergeState is returned.\n\n See listsort.txt for more info.\n \"\"\"\n while ms.n > 1:\n pending = ms.pending\n n = ms.n - 2\n if ((n > 0 and pending[n-1].size <= pending[n].size + pending[n+1].size) or\n (n > 1 and pending[n-2].size <= pending[n-1].size + pending[n].size)):\n if pending[n - 1].size < pending[n + 1].size:\n # Merge smaller one first\n n -= 1\n ms = merge_at(ms, keys, values, n)\n elif pending[n].size < pending[n + 1].size:\n ms = merge_at(ms, keys, values, n)\n else:\n break\n return ms\n\n @wrap\n def merge_force_collapse(ms, keys, values):\n \"\"\"\n Regardless of invariants, merge all runs on the stack until only one\n remains. This is used at the end of the mergesort.\n\n An updated MergeState is returned.\n \"\"\"\n while ms.n > 1:\n pending = ms.pending\n n = ms.n - 2\n if n > 0:\n if pending[n - 1].size < pending[n + 1].size:\n # Merge the smaller one first\n n -= 1\n ms = merge_at(ms, keys, values, n)\n return ms\n\n\n @wrap\n def reverse_slice(keys, values, start, stop):\n \"\"\"\n Reverse a slice, in-place.\n \"\"\"\n i = start\n j = stop - 1\n while i < j:\n keys[i], keys[j] = keys[j], keys[i]\n i += 1\n j -= 1\n if has_values(keys, values):\n i = start\n j = stop - 1\n while i < j:\n values[i], values[j] = values[j], values[i]\n i += 1\n j -= 1\n\n\n @wrap\n def run_timsort_with_mergestate(ms, keys, values):\n \"\"\"\n Run timsort with the mergestate.\n \"\"\"\n nremaining = len(keys)\n if nremaining < 2:\n return\n\n # March over the array once, left to right, finding natural runs,\n # and extending short natural runs to minrun elements.\n minrun = merge_compute_minrun(nremaining)\n\n lo = zero\n while nremaining > 0:\n n, desc = count_run(keys, lo, lo + nremaining)\n if desc:\n # Descending run => reverse\n reverse_slice(keys, values, lo, lo + n)\n # If short, extend to min(minrun, nremaining)\n if n < minrun:\n force = min(minrun, nremaining)\n binarysort(keys, values, lo, lo + force, lo + n)\n n = force\n # Push run onto stack, and maybe merge.\n ms = merge_append(ms, MergeRun(lo, n))\n ms = merge_collapse(ms, keys, values)\n # Advance to find next run.\n lo += n\n nremaining -= n\n\n # All initial runs have been discovered, now finish merging.\n ms = merge_force_collapse(ms, keys, values)\n assert ms.n == 1\n assert ms.pending[0] == (0, len(keys))\n\n\n @wrap\n def run_timsort(keys):\n \"\"\"\n Run timsort over the given keys.\n \"\"\"\n values = keys\n run_timsort_with_mergestate(merge_init(keys), keys, values)\n\n\n @wrap\n def run_timsort_with_values(keys, values):\n \"\"\"\n Run timsort over the given keys and values.\n \"\"\"\n run_timsort_with_mergestate(merge_init_with_values(keys, values),\n keys, values)\n\n return TimsortImplementation(\n wrap,\n count_run, binarysort, gallop_left, gallop_right,\n merge_init, merge_append, merge_pop,\n merge_compute_minrun, merge_lo, merge_hi, merge_at,\n merge_force_collapse, merge_collapse,\n run_timsort, run_timsort_with_values)", "metadata": "root.make_timsort_impl", "header": "['module', '___EOS___']", "index": 57 }, { "content": "def make_py_timsort(*args):\n return make_timsort_impl((lambda f: f), *args)", "metadata": "root.make_py_timsort", "header": "['module', '___EOS___']", "index": 937 }, { "content": "def make_jit_timsort(*args):\n from numba import jit\n return make_timsort_impl((lambda f: jit(nopython=True)(f)),\n *args)", "metadata": "root.make_jit_timsort", "header": "['module', '___EOS___']", "index": 940 } ]

[]

[]

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[ { "content": "class Migration(migrations.Migration):\n\n dependencies = [\n ('cmsplugin_cascade', '0007_add_proxy_models'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='SortableInlineCascadeElement',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('glossary', jsonfield.fields.JSONField(blank=True, default={})),\n ('order', models.PositiveIntegerField(db_index=True, verbose_name='Sort by')),\n ('cascade_element', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='sortinline_elements', to='cmsplugin_cascade.CascadeElement')),\n ],\n options={\n 'ordering': ('order',),\n 'db_table': 'cmsplugin_cascade_sortinline',\n },\n ),\n ]", "metadata": "root.Migration", "header": "['module', '___EOS___']", "index": 9 } ]

[]

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[ { "content": "from __future__ import unicode_literals\n\nimport json\nimport sure # noqa\n\nimport moto.server as server\nfrom moto import mock_redshift\n\n'''\nTest the different server responses\n'''\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "@mock_redshift\ndef test_describe_clusters():\n backend = server.create_backend_app(\"redshift\")\n test_client = backend.test_client()\n\n res = test_client.get('/?Action=DescribeClusters')\n\n json_data = json.loads(res.data.decode(\"utf-8\"))\n clusters = json_data['DescribeClustersResponse']['DescribeClustersResult']['Clusters']\n list(clusters).should.equal([])", "metadata": "root.test_describe_clusters", "header": "['module', '___EOS___']", "index": 13 } ]

[]

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[ { "content": " def setUp(self):\n super(RuleEnforcementPermissionsResolverTestCase, self).setUp()\n\n register_internal_trigger_types()\n\n # Create some mock users\n user_1_db = UserDB(name='1_role_rule_pack_grant')\n user_1_db = User.add_or_update(user_1_db)\n self.users['custom_role_rule_pack_grant'] = user_1_db\n\n user_2_db = UserDB(name='1_role_rule_grant')\n user_2_db = User.add_or_update(user_2_db)\n self.users['custom_role_rule_grant'] = user_2_db\n\n user_3_db = UserDB(name='custom_role_pack_rule_all_grant')\n user_3_db = User.add_or_update(user_3_db)\n self.users['custom_role_pack_rule_all_grant'] = user_3_db\n\n user_4_db = UserDB(name='custom_role_rule_all_grant')\n user_4_db = User.add_or_update(user_4_db)\n self.users['custom_role_rule_all_grant'] = user_4_db\n\n user_5_db = UserDB(name='custom_role_rule_modify_grant')\n user_5_db = User.add_or_update(user_5_db)\n self.users['custom_role_rule_modify_grant'] = user_5_db\n\n user_6_db = UserDB(name='rule_pack_rule_create_grant')\n user_6_db = User.add_or_update(user_6_db)\n self.users['rule_pack_rule_create_grant'] = user_6_db\n\n user_7_db = UserDB(name='rule_pack_rule_all_grant')\n user_7_db = User.add_or_update(user_7_db)\n self.users['rule_pack_rule_all_grant'] = user_7_db\n\n user_8_db = UserDB(name='rule_rule_create_grant')\n user_8_db = User.add_or_update(user_8_db)\n self.users['rule_rule_create_grant'] = user_8_db\n\n user_9_db = UserDB(name='rule_rule_all_grant')\n user_9_db = User.add_or_update(user_9_db)\n self.users['rule_rule_all_grant'] = user_9_db\n\n user_10_db = UserDB(name='custom_role_rule_list_grant')\n user_10_db = User.add_or_update(user_10_db)\n self.users['custom_role_rule_list_grant'] = user_10_db\n\n # Create some mock resources on which permissions can be granted\n rule_1_db = RuleDB(pack='test_pack_1', name='rule1', action={'ref': 'core.local'},\n trigger='core.st2.key_value_pair.create')\n rule_1_db = Rule.add_or_update(rule_1_db)\n self.resources['rule_1'] = rule_1_db\n\n rule_enforcement_1_db = RuleEnforcementDB(trigger_instance_id=str(bson.ObjectId()),\n execution_id=str(bson.ObjectId()),\n rule={'ref': rule_1_db.ref,\n 'uid': rule_1_db.uid,\n 'id': str(rule_1_db.id)})\n rule_enforcement_1_db = RuleEnforcement.add_or_update(rule_enforcement_1_db)\n self.resources['rule_enforcement_1'] = rule_enforcement_1_db\n\n rule_2_db = RuleDB(pack='test_pack_1', name='rule2')\n rule_2_db = Rule.add_or_update(rule_2_db)\n self.resources['rule_2'] = rule_2_db\n\n rule_enforcement_2_db = RuleEnforcementDB(trigger_instance_id=str(bson.ObjectId()),\n execution_id=str(bson.ObjectId()),\n rule={'ref': rule_2_db.ref,\n 'uid': rule_2_db.uid,\n 'id': str(rule_2_db.id)})\n rule_enforcement_2_db = RuleEnforcement.add_or_update(rule_enforcement_2_db)\n self.resources['rule_enforcement_2'] = rule_enforcement_2_db\n\n rule_3_db = RuleDB(pack='test_pack_2', name='rule3')\n rule_3_db = Rule.add_or_update(rule_3_db)\n self.resources['rule_3'] = rule_3_db\n\n rule_enforcement_3_db = RuleEnforcementDB(trigger_instance_id=str(bson.ObjectId()),\n execution_id=str(bson.ObjectId()),\n rule={'ref': rule_3_db.ref,\n 'uid': rule_3_db.uid,\n 'id': str(rule_3_db.id)})\n rule_enforcement_3_db = RuleEnforcement.add_or_update(rule_enforcement_3_db)\n self.resources['rule_enforcement_3'] = rule_enforcement_3_db\n\n # Create some mock roles with associated permission grants\n # Custom role 2 - one grant on parent pack\n # \"rule_view\" on pack_1\n grant_db = PermissionGrantDB(resource_uid=self.resources['pack_1'].get_uid(),\n resource_type=ResourceType.PACK,\n permission_types=[PermissionType.RULE_VIEW])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_3_db = RoleDB(name='custom_role_rule_pack_grant',\n permission_grants=permission_grants)\n role_3_db = Role.add_or_update(role_3_db)\n self.roles['custom_role_rule_pack_grant'] = role_3_db\n\n # Custom role 4 - one grant on rule\n # \"rule_view on rule_3\n grant_db = PermissionGrantDB(resource_uid=self.resources['rule_3'].get_uid(),\n resource_type=ResourceType.RULE,\n permission_types=[PermissionType.RULE_VIEW])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_4_db = RoleDB(name='custom_role_rule_grant', permission_grants=permission_grants)\n role_4_db = Role.add_or_update(role_4_db)\n self.roles['custom_role_rule_grant'] = role_4_db\n\n # Custom role - \"rule_all\" grant on a parent rule pack\n grant_db = PermissionGrantDB(resource_uid=self.resources['pack_1'].get_uid(),\n resource_type=ResourceType.PACK,\n permission_types=[PermissionType.RULE_ALL])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_4_db = RoleDB(name='custom_role_pack_rule_all_grant',\n permission_grants=permission_grants)\n role_4_db = Role.add_or_update(role_4_db)\n self.roles['custom_role_pack_rule_all_grant'] = role_4_db\n\n # Custom role - \"rule_all\" grant on a rule\n grant_db = PermissionGrantDB(resource_uid=self.resources['rule_1'].get_uid(),\n resource_type=ResourceType.RULE,\n permission_types=[PermissionType.RULE_ALL])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_4_db = RoleDB(name='custom_role_rule_all_grant', permission_grants=permission_grants)\n role_4_db = Role.add_or_update(role_4_db)\n self.roles['custom_role_rule_all_grant'] = role_4_db\n\n # Custom role - \"rule_modify\" on role_1\n grant_db = PermissionGrantDB(resource_uid=self.resources['rule_1'].get_uid(),\n resource_type=ResourceType.RULE,\n permission_types=[PermissionType.RULE_MODIFY])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_5_db = RoleDB(name='custom_role_rule_modify_grant',\n permission_grants=permission_grants)\n role_5_db = Role.add_or_update(role_5_db)\n self.roles['custom_role_rule_modify_grant'] = role_5_db\n\n # Custom role - \"rule_create\" grant on pack_1\n grant_db = PermissionGrantDB(resource_uid=self.resources['pack_1'].get_uid(),\n resource_type=ResourceType.PACK,\n permission_types=[PermissionType.RULE_CREATE])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_6_db = RoleDB(name='rule_pack_rule_create_grant',\n permission_grants=permission_grants)\n role_6_db = Role.add_or_update(role_6_db)\n self.roles['rule_pack_rule_create_grant'] = role_6_db\n\n # Custom role - \"rule_all\" grant on pack_1\n grant_db = PermissionGrantDB(resource_uid=self.resources['pack_1'].get_uid(),\n resource_type=ResourceType.PACK,\n permission_types=[PermissionType.RULE_ALL])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_7_db = RoleDB(name='rule_pack_rule_all_grant',\n permission_grants=permission_grants)\n role_7_db = Role.add_or_update(role_7_db)\n self.roles['rule_pack_rule_all_grant'] = role_7_db\n\n # Custom role - \"rule_create\" grant on rule_1\n grant_db = PermissionGrantDB(resource_uid=self.resources['rule_1'].get_uid(),\n resource_type=ResourceType.RULE,\n permission_types=[PermissionType.RULE_CREATE])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_8_db = RoleDB(name='rule_rule_create_grant',\n permission_grants=permission_grants)\n role_8_db = Role.add_or_update(role_8_db)\n self.roles['rule_rule_create_grant'] = role_8_db\n\n # Custom role - \"rule_all\" grant on rule_1\n grant_db = PermissionGrantDB(resource_uid=self.resources['rule_1'].get_uid(),\n resource_type=ResourceType.RULE,\n permission_types=[PermissionType.RULE_ALL])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_9_db = RoleDB(name='rule_rule_all_grant',\n permission_grants=permission_grants)\n role_9_db = Role.add_or_update(role_9_db)\n self.roles['rule_rule_all_grant'] = role_9_db\n\n # Custom role - \"rule_list\" grant\n grant_db = PermissionGrantDB(resource_uid=None,\n resource_type=None,\n permission_types=[PermissionType.RULE_LIST])\n grant_db = PermissionGrant.add_or_update(grant_db)\n permission_grants = [str(grant_db.id)]\n role_10_db = RoleDB(name='custom_role_rule_list_grant',\n permission_grants=permission_grants)\n role_10_db = Role.add_or_update(role_10_db)\n self.roles['custom_role_rule_list_grant'] = role_10_db\n\n # Create some mock role assignments\n user_db = self.users['custom_role_rule_pack_grant']\n role_assignment_db = UserRoleAssignmentDB(\n user=user_db.name,\n role=self.roles['custom_role_rule_pack_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)\n\n user_db = self.users['custom_role_rule_grant']\n role_assignment_db = UserRoleAssignmentDB(user=user_db.name,\n role=self.roles['custom_role_rule_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)\n\n user_db = self.users['custom_role_pack_rule_all_grant']\n role_assignment_db = UserRoleAssignmentDB(\n user=user_db.name,\n role=self.roles['custom_role_pack_rule_all_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)\n\n user_db = self.users['custom_role_rule_all_grant']\n role_assignment_db = UserRoleAssignmentDB(\n user=user_db.name,\n role=self.roles['custom_role_rule_all_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)\n\n user_db = self.users['custom_role_rule_modify_grant']\n role_assignment_db = UserRoleAssignmentDB(\n user=user_db.name,\n role=self.roles['custom_role_rule_modify_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)\n\n user_db = self.users['rule_pack_rule_create_grant']\n role_assignment_db = UserRoleAssignmentDB(\n user=user_db.name,\n role=self.roles['rule_pack_rule_create_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)\n\n user_db = self.users['rule_pack_rule_all_grant']\n role_assignment_db = UserRoleAssignmentDB(\n user=user_db.name,\n role=self.roles['rule_pack_rule_all_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)\n\n user_db = self.users['rule_rule_create_grant']\n role_assignment_db = UserRoleAssignmentDB(\n user=user_db.name,\n role=self.roles['rule_rule_create_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)\n\n user_db = self.users['rule_rule_all_grant']\n role_assignment_db = UserRoleAssignmentDB(\n user=user_db.name,\n role=self.roles['rule_rule_all_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)\n\n user_db = self.users['custom_role_rule_list_grant']\n role_assignment_db = UserRoleAssignmentDB(\n user=user_db.name,\n role=self.roles['custom_role_rule_list_grant'].name)\n UserRoleAssignment.add_or_update(role_assignment_db)", "metadata": "root.RuleEnforcementPermissionsResolverTestCase.setUp", "header": "['class', 'RuleEnforcementPermissionsResolverTestCase', '(', 'BasePermissionsResolverTestCase', ')', ':', '___EOS___']", "index": 41 } ]

[]

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[ { "content": "def html_collect_pages(app):\n \"\"\"This event handler is abused to copy local files around.\"\"\"\n files = set()\n for file_list in getattr(app.env, 'nbsphinx_files', {}).values():\n files.update(file_list)\n for file in app.status_iterator(files, 'copying linked files... ',\n sphinx.util.console.brown, len(files)):\n target = os.path.join(app.builder.outdir, file)\n sphinx.util.ensuredir(os.path.dirname(target))\n try:\n sphinx.util.copyfile(os.path.join(app.env.srcdir, file), target)\n except OSError as err:\n app.warn('cannot copy local file {!r}: {}'.format(file, err))\n return [] # No new HTML pages are created", "metadata": "root.html_collect_pages", "header": "['module', '___EOS___']", "index": 946 } ]

[]

[]

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[ { "content": " def backend_filename(self, backend):\n \"\"\"\n Return the path name of the backend output file that is generated from\n the test name and output file type.\n \"\"\"\n return '%s-%s%s' % (\n os.path.normpath(os.path.join(self.datadir, self.name)),\n backend,\n BACKEND_EXT[backend])", "metadata": "root.AsciiDocTest.backend_filename", "header": "['class', 'AsciiDocTest', '(', 'object', ')', ':', '___EOS___']", "index": 91 }, { "content": " def get_expected(self, backend):\n \"\"\"\n Return expected test data output for backend.\n \"\"\"\n f = open(self.backend_filename(backend))\n try:\n result = f.readlines()\n # Strip line terminators.\n result = [ s.rstrip() for s in result ]\n finally:\n f.close()\n return result", "metadata": "root.AsciiDocTest.get_expected", "header": "['class', 'AsciiDocTest', '(', 'object', ')', ':', '___EOS___']", "index": 161 } ]

[]

[]

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[ { "content": "###############################################################################\n#\n# Tests for XlsxWriter.\n#\n# Copyright (c), 2013-2016, John McNamara, jmcnamara@cpan.org\n#\n\nfrom ..excel_comparsion_test import ExcelComparisonTest\nfrom ...workbook import Workbook\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TestCompareXLSXFiles(ExcelComparisonTest):\n \"\"\"\n Test file created by XlsxWriter against a file created by Excel.\n\n \"\"\"\n\n", "metadata": "root.TestCompareXLSXFiles", "header": "['module', '___EOS___']", "index": 11 }, { "content": " def setUp(self):\n self.maxDiff = None\n\n filename = 'chart_chartarea01.xlsx'\n\n test_dir = 'xlsxwriter/test/comparison/'\n self.got_filename = test_dir + '_test_' + filename\n self.exp_filename = test_dir + 'xlsx_files/' + filename\n\n self.ignore_files = []\n self.ignore_elements = {}", "metadata": "root.TestCompareXLSXFiles.setUp", "header": "['class', 'TestCompareXLSXFiles', '(', 'ExcelComparisonTest', ')', ':', '___EOS___']", "index": 17 }, { "content": " def test_create_file(self):\n \"\"\"Test XlsxWriter chartarea properties.\"\"\"\n\n workbook = Workbook(self.got_filename)\n\n worksheet = workbook.add_worksheet()\n chart = workbook.add_chart({'type': 'column'})\n\n chart.axis_ids = [82933248, 82952960]\n\n data = [\n [1, 2, 3, 4, 5],\n [2, 4, 6, 8, 10],\n [3, 6, 9, 12, 15],\n\n ]\n\n worksheet.write_column('A1', data[0])\n worksheet.write_column('B1', data[1])\n worksheet.write_column('C1', data[2])\n\n chart.add_series({'values': '=Sheet1!$A$1:$A$5'})\n chart.add_series({'values': '=Sheet1!$B$1:$B$5'})\n chart.add_series({'values': '=Sheet1!$C$1:$C$5'})\n\n chart.set_chartarea({\n 'border': {'none': 1},\n 'fill': {'color': 'red'}\n })\n\n chart.set_plotarea({\n 'border': {'color': 'yellow', 'width': 1, 'dash_type': 'dash'},\n 'fill': {'color': '#92D050'}\n })\n\n worksheet.insert_chart('E9', chart)\n\n workbook.close()\n\n self.assertExcelEqual()", "metadata": "root.TestCompareXLSXFiles.test_create_file", "header": "['class', 'TestCompareXLSXFiles', '(', 'ExcelComparisonTest', ')', ':', '___EOS___']", "index": 29 } ]

[]

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[ { "content": "\"\"\"Blocking channels\n\nUseful for test suites and blocking terminal interfaces.\n\"\"\"\n\n# Copyright (c) Jupyter Development Team.\n# Distributed under the terms of the Modified BSD License.\n\ntry:\n from queue import Queue, Empty # Py 3\nexcept ImportError:\n from Queue import Queue, Empty # Py 2\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

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[ { "content": "#!/usr/bin/env python\nfrom nose.tools import *\nfrom nose import SkipTest\nfrom nose.plugins.attrib import attr\nimport networkx\n\n# Example from\n# A. Langville and C. Meyer, \"A survey of eigenvector methods of web\n# information retrieval.\" http://citeseer.ist.psu.edu/713792.html\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TestHITS:\n\n\n\n\n\n\n\n\n\n", "metadata": "root.TestHITS", "header": "['module', '___EOS___']", "index": 11 }, { "content": " def setUp(self):\n \n G=networkx.DiGraph()\n\n edges=[(1,3),(1,5),\\\n (2,1),\\\n (3,5),\\\n (5,4),(5,3),\\\n (6,5)]\n \n G.add_edges_from(edges,weight=1)\n self.G=G\n self.G.a=dict(zip(G,[0.000000, 0.000000, 0.366025,\n 0.133975, 0.500000, 0.000000]))\n self.G.h=dict(zip(G,[ 0.366025, 0.000000, 0.211325, \n 0.000000, 0.211325, 0.211325]))", "metadata": "root.TestHITS.setUp", "header": "['class', 'TestHITS', ':', '___EOS___']", "index": 13 }, { "content": " def test_hits(self):\n G=self.G\n h,a=networkx.hits(G,tol=1.e-08)\n for n in G:\n assert_almost_equal(h[n],G.h[n],places=4)\n for n in G:\n assert_almost_equal(a[n],G.a[n],places=4)", "metadata": "root.TestHITS.test_hits", "header": "['class', 'TestHITS', ':', '___EOS___']", "index": 31 }, { "content": " def test_hits_nstart(self):\n G = self.G\n nstart = dict([(i, 1./2) for i in G])\n h, a = networkx.hits(G, nstart = nstart)", "metadata": "root.TestHITS.test_hits_nstart", "header": "['class', 'TestHITS', ':', '___EOS___']", "index": 39 }, { "content": " @attr('numpy')\n def test_hits_numpy(self):\n try:\n import numpy as np\n except ImportError:\n raise SkipTest('NumPy not available.')\n\n\n G=self.G\n h,a=networkx.hits_numpy(G)\n for n in G:\n assert_almost_equal(h[n],G.h[n],places=4)\n for n in G:\n assert_almost_equal(a[n],G.a[n],places=4)", "metadata": "root.TestHITS.test_hits_numpy", "header": "['class', 'TestHITS', ':', '___EOS___']", "index": 44 }, { "content": " def test_hits_scipy(self):\n try:\n import scipy as sp\n except ImportError:\n raise SkipTest('SciPy not available.')\n\n G=self.G\n h,a=networkx.hits_scipy(G,tol=1.e-08)\n for n in G:\n assert_almost_equal(h[n],G.h[n],places=4)\n for n in G:\n assert_almost_equal(a[n],G.a[n],places=4)", "metadata": "root.TestHITS.test_hits_scipy", "header": "['class', 'TestHITS', ':', '___EOS___']", "index": 60 }, { "content": " @attr('numpy')\n def test_empty(self):\n try:\n import numpy\n except ImportError:\n raise SkipTest('numpy not available.')\n G=networkx.Graph()\n assert_equal(networkx.hits(G),({},{}))\n assert_equal(networkx.hits_numpy(G),({},{}))\n assert_equal(networkx.authority_matrix(G).shape,(0,0))\n assert_equal(networkx.hub_matrix(G).shape,(0,0))", "metadata": "root.TestHITS.test_empty", "header": "['class', 'TestHITS', ':', '___EOS___']", "index": 74 }, { "content": " def test_empty_scipy(self):\n try:\n import scipy\n except ImportError:\n raise SkipTest('scipy not available.')\n G=networkx.Graph()\n assert_equal(networkx.hits_scipy(G),({},{}))", "metadata": "root.TestHITS.test_empty_scipy", "header": "['class', 'TestHITS', ':', '___EOS___']", "index": 86 } ]

[]

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[ { "content": "# Copyright (c) 2011 OpenStack Foundation\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n\n\"\"\"Compute-related Utilities and helpers.\"\"\"\n\nimport itertools\nimport string\nimport traceback\n\nimport netifaces\nfrom oslo_config import cfg\nfrom oslo_log import log\nimport six\n\nfrom nova import block_device\nfrom nova.compute import power_state\nfrom nova.compute import task_states\nfrom nova import exception\nfrom nova.i18n import _LW\nfrom nova.network import model as network_model\nfrom nova import notifications\nfrom nova import objects\nfrom nova import rpc\nfrom nova import utils\nfrom nova.virt import driver\n\nCONF = cfg.CONF\nCONF.import_opt('host', 'nova.netconf')\nLOG = log.getLogger(__name__)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

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[ { "content": " def test_parseArr_dim3_passes(self):\n K=2\n D=2\n PB = ParamBag(K=K, D=D)\n x = PB.parseArr(np.random.randn(K,D,D), dims=('K','D','D'))\n assert x.ndim == 3 and x.size == K*D*D\n\n K=1\n D=2\n PB = ParamBag(K=K, D=D)\n x = PB.parseArr(np.random.rand(K,D,D), dims=('K','D', 'D'))\n assert x.ndim == 3 and x.size == K*D*D\n\n K=3\n D=1\n PB = ParamBag(K=K, D=D)\n x = PB.parseArr(np.random.rand(K,D,D), dims=('K','D', 'D'))\n assert x.ndim == 3 and x.size == K*D*D", "metadata": "root.TestParamBag.test_parseArr_dim3_passes", "header": "['class', 'TestParamBag', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 392 } ]

[]

[]

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[ 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": " def setup(self):\n self.flag = 'I_like_candide_sheep'", "metadata": "root.Problem.setup", "header": "['class', 'Problem', '(', 'Challenge', ')', ':', '___EOS___']", "index": 3 } ]

[]

[]

[ "[CLS]_", "First_", "parameter_", "of_", "a_", "method_", "is_", "not_", "named_", "'", "self", "'_", "[SEP]_", "class_", "Problem_", "(_", "Chall", "enge", "_", ")_", ":_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "def_", "setup_", "(_", "self_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "self_", "._", "flag_", "=_", "'", "I", "\\u", "like", "\\u", "candi", "de", "\\u", "she", "ep", "'_" ]

[ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": "#!/usr/bin/env python\n\n'''\nProject: Geothon (https://github.com/MBoustani/Geothon)\nFile: Vector/create_geojson_line.py\nDescription: This code creates a geojson line file from some points.\nAuthor: Maziyar Boustani (github.com/MBoustani)\n'''\n\ntry:\n import ogr\nexcept ImportError:\n from osgeo import ogr\n\nlatitudes = [30, 30, 40]\nlongitudes = [10, 20, 30]\n\nline = ogr.Geometry(ogr.wkbLineString)\nline.AddPoint(latitudes[0], longitudes[0])\nline.AddPoint(latitudes[1], longitudes[1])\nline.AddPoint(latitudes[2], longitudes[2])\ngeojson_line = line.ExportToJson()\nprint geojson_line\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

[]

[ "[CLS]_", "Except", "_", "block_", "handles_", "'", "Base", "Except", "ion", "'_", "[SEP]_", "module_", "\\u\\u\\uEOS\\u\\u\\u_", "#!", "/", "usr", "/", "bin", "/", "env", " ", "python_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "'''", "\\", "10", ";", "Project", ":", " ", " ", " ", "Geo", "tho", "n", " ", "(", "https", "://", "git", "hub", ".", "com", "/", "MB", "ous", "tan", "i", "/", "Geo", "tho", "n", ")", "\\", "10", ";", "File", ":", " ", " ", "Vector", "/", "create", "\\u", "geo", "json", "\\u", "line", ".", "py", "\\", "10", ";", "Descripti", "on", ":", " ", " ", " ", "Thi", "s", " ", "code", " ", "create", "s", " ", "a", " ", "geo", "json", " ", "line", " ", "file", " ", "from", " ", "some", " ", "points", ".", "\\", "10", ";", "Author", ":", " ", " ", " ", " ", "Ma", "zi", "yar", " ", "Bou", "stan", "i", " ", "(", "git", "hub", ".", "com", "/", "MB", "ous", "tan", "i", ")", "\\", "10", ";'", "''_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "try_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "import_", "ogr_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "except_", "Import", "Error_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "from_", "osg", "eo_", "import_", "ogr_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "latitude", "s_", "=_", "[_", "30_", ",_", "30_", ",_", "40_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "longitude", "s_", "=_", "[_", "10_", ",_", "20_", ",_", "30_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "line_", "=_", "ogr_", "._", "Geometry_", "(_", "ogr_", "._", "wk", "b", "Line", "String_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "line_", "._", "Add", "Point_", "(_", "latitude", "s_", "[_", "0_", "]_", ",_", "longitude", "s_", "[_", "0_", "]_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "line_", "._", "Add", "Point_", "(_", "latitude", "s_", "[_", "1_", "]_", ",_", "longitude", "s_", "[_", "1_", "]_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "line_", "._", "Add", "Point_", "(_", "latitude", "s_", "[_", "2_", "]_", ",_", "longitude", "s_", "[_", "2_", "]_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "geo", "json", "\\u", "line_", "=_", "line_", "._", "Export", "To", "Json_", "(_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "print_", "geo", "json", "\\u", "line_" ]

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[ { "content": " def test_can_cache_single_preference(self):\n\n manager = global_preferences_registry.manager()\n v = manager['no_section']\n with self.assertNumQueries(0):\n v = manager['no_section']\n v = manager['no_section']\n v = manager['no_section']", "metadata": "root.TestModels.test_can_cache_single_preference", "header": "['class', 'TestModels', '(', 'BaseTest', ',', 'TestCase', ')', ':', '___EOS___']", "index": 91 } ]

[]

[]

[ "[CLS]_", "Sho", "ul", "d_", "use_", "a_", "'", "with", "'_", "statement_", "[SEP]_", "class_", "Test", "Models_", "(_", "Base", "Test_", ",_", "Test", "Case_", ")_", ":_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "def_", "test\\u", "can", "\\u", "cache", "\\u", "single", "\\u", "preference_", "(_", "self_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "manager_", "=_", "global", "\\u", "preference", "s", "\\u", "registry_", "._", "manager_", "(_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "v_", "=_", "manager_", "[_", "'", "no", "\\u", "section", "'_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "with_", "self_", "._", "assert", "Num", "Querie", "s_", "(_", "0_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "v_", "=_", "manager_", "[_", "'", "no", "\\u", "section", "'_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "v_", "=_", "manager_", "[_", "'", "no", "\\u", "section", "'_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "v_", "=_", "manager_", "[_", "'", "no", "\\u", "section", "'_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_" ]

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[ { "content": "class NoStorage(client.Storage):\n \"\"\"A no-op implementation of storage.\"\"\"\n\n", "metadata": "root.NoStorage", "header": "['module', '___EOS___']", "index": 274 } ]

[]

[]

[ "[CLS]_", "Unrea", "chab", "le_", "code_", "[SEP]_", "module_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "class_", "No", "Storage_", "(_", "client_", "._", "Storage_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "\"\"\"", "A", " ", "no", "-", "op", " ", "implementation", " ", "of", " ", "storage", ".\"\"\"_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_" ]

[ 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": "# -*- coding: utf-8 -*-\n#!/usr/bin/env python\nfrom __future__ import print_function\n\nimport argparse\nimport collections\nimport io\nimport os\nimport sys\nfrom bakery_cli.fonts_public_pb2 import FontProto, FamilyProto\nfrom google.protobuf import text_format\n\nargs = argparse.ArgumentParser()\nargs.add_argument('key', help='Key from Google Fonts Developer API')\nargs.add_argument('repo', help='Directory tree that contains directories with METADATA.pb files')\nargs.add_argument('--cache', help='Directory to store a copy of the files in the fonts developer api',\n default=\"/tmp/fontbakery-compare-git-api\")\nargs.add_argument('--verbose', help='Print additional information', action=\"store_true\")\nargs.add_argument('--ignore-copy-existing-ttf', action=\"store_true\")\nargs.add_argument('--autofix', help='Apply automatic fixes to files', action=\"store_true\")\nargs.add_argument('--api', help='Domain string to use to request', default=\"fonts.googleapis.com\")\nargv = args.parse_args()\n\n\n\n\nif __name__ == '__main__':\n import urllib\n import urlparse\n import json\n response = urllib.urlopen('https://www.googleapis.com/webfonts/v1/webfonts?key={}'.format(argv.key))\n try:\n webfontList = json.loads(response.read())['items']\n webfontListFamilyNames = [item['family'] for item in webfontList]\n except (ValueError, KeyError):\n sys.exit(1)\n\n for dirpath, dirnames, filenames in os.walk(argv.repo):\n metadataProtoFile = os.path.join(dirpath, 'METADATA.pb')\n if not os.path.exists(metadataProtoFile):\n continue\n\n metadata = FamilyProto()\n text_data = open(metadataProtoFile, \"rb\").read()\n text_format.Merge(text_data, metadata)\n try:\n family = metadata.name\n except KeyError:\n print('ER: \"{}\" does not contain FamilyName'.format(metadataProtoFile), file=sys.stderr)\n continue\n\n try:\n index = webfontListFamilyNames.index(family)\n webfontsItem = webfontList[index]\n except ValueError:\n print('ER: Family \"{}\" could not be found in API'.format(family))\n continue\n\n webfontVariants = []\n log_messages = []\n for variant, fonturl in webfontsItem['files'].items():\n cache_font_path = get_cache_font_path(argv.cache, fonturl)\n webfontVariants.append(variant)\n\n if argv.ignore_copy_existing_ttf and os.path.exists(cache_font_path):\n continue\n\n with open(cache_font_path, 'w') as fp:\n filenameWeightStyleIndex = [getVariantName(item) for item in metadata.fonts].index(variant)\n filename = metadata.fonts[filenameWeightStyleIndex].filename\n if argv.verbose:\n print('Downloading \"{}\" as \"{}\"'.format(fonturl, filename))\n\n #Saving:\n fp.write(urllib.urlopen(fonturl).read())\n\n #Symlinking:\n src = cache_font_path\n dst_dir = os.path.dirname(cache_font_path)\n dst = os.path.join(dst_dir, filename)\n if not os.path.exists(dst):\n os.symlink(src, dst)\n\n for subset in webfontsItem['subsets']:\n if subset == \"menu\":\n # note about Google Web Fonts:\n # Menu subsets are no longer generated offline.\n continue\n\n if subset not in metadata.subsets:\n print('ER: \"{}\" lacks subset \"{}\" in git'.format(family, subset), file=sys.stderr)\n else:\n if argv.verbose:\n print('OK: \"{}\" subset \"{}\" in sync'.format(family, subset))\n\n for subset in metadata.subsets:\n if subset != \"menu\" and subset not in webfontsItem['subsets']:\n print('ER: \"{}\" lacks subset \"{}\" in API'.format(family, subset), file=sys.stderr)\n\n if metadata.category.lower() != webfontsItem['category']:\n print('ER: \"{}\" category \"{}\" in git does not match category \"{}\" in API'.format(family, metadata.category, webfontsItem['category']))\n else:\n if argv.verbose:\n print('OK: \"{}\" category \"{}\" in sync'.format(family, metadata.category))\n\n\n for variant in webfontVariants:\n try:\n filenameWeightStyleIndex = [getVariantName(item) for item in metadata.fonts].index(variant)\n repoFileName = metadata.fonts[filenameWeightStyleIndex].filename\n\n fonturl = webfontsItem['files'][variant]\n fontpath = get_cache_font_path(argv.cache, fonturl)\n\n import hashlib\n google_md5 = hashlib.md5(open(fontpath, 'rb').read()).hexdigest()\n repo_md5 = hashlib.md5(open(os.path.join(dirpath, repoFileName), 'rb').read()).hexdigest()\n\n if repo_md5 == google_md5:\n log_messages.append([variant, 'OK', '\"{}\" in sync'.format(repoFileName)])\n else:\n log_messages.append([variant, 'ER', '\"{}\" checksum mismatch, file in API does not match file in git'.format(repoFileName)])\n\n except ValueError:\n log_messages.append([variant, 'ER', '\"{}\" available in API but not in git'.format(font.filename)])\n\n for font in metadata.fonts:\n variant = getVariantName(font)\n try:\n webfontVariants.index(variant)\n except ValueError:\n log_messages.append([variant, 'ER', '\"{}\" available in git but not in API'.format(font.filename)])\n\n #sort all the messages by their respective metadataFileName and print them:\n for message in sorted(log_messages, key=lambda x: x[0].lower()):\n variant, status, text = message\n if status == \"OK\":\n if argv.verbose:\n print('{}: {}'.format(status, text))\n else:\n print('{}: {}'.format(status, text), file=sys.stderr)\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

[]

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[ { "content": " @property\n def avg_content_length(self):\n try:\n return self.total_content_length / self.num_requests\n except ZeroDivisionError:\n return 0", "metadata": "root.StatsEntry.avg_content_length", "header": "['class', 'StatsEntry', '(', 'object', ')', ':', '___EOS___']", "index": 226 } ]

[]

[]

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[ { "content": "# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals, absolute_import\nimport os\n\nfrom configurations import values\nfrom django.utils.translation import ugettext_lazy as _\n\nimport fancypages as fp\n\nfrom . import common\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class OscarFancypages(common.Common):\n SANDBOX_MODULE = 'oscar_fancypages'\n\n\n MIDDLEWARE_CLASSES = common.Common.MIDDLEWARE_CLASSES + [\n 'oscar.apps.basket.middleware.BasketMiddleware',\n ]\n\n AUTHENTICATION_BACKENDS = (\n 'oscar.apps.customer.auth_backends.Emailbackend',\n 'django.contrib.auth.backends.ModelBackend',\n )\n\n ########## FANCYPAGES SETTINGS\n FP_NODE_MODEL = 'catalogue.Category'\n FP_PAGE_DETAIL_VIEW = 'fancypages.contrib.oscar_fancypages.views.FancyPageDetailView' # noqa\n ########## END FANCYPAGES SETTINGS\n\n # Required for South < 1.0\n SOUTH_MIGRATION_MODULES = {\n 'fancypages': 'fancypages.south_migrations',\n 'oscar_fancypages': 'fancypages.contrib.oscar_fancypages.south_migrations', # noqa\n }\n\n ########## OSCAR SETTINGS\n OSCAR_ALLOW_ANON_CHECKOUT = True\n\n TEMPLATE_CONTEXT_PROCESSORS = common.Common.TEMPLATE_CONTEXT_PROCESSORS + [\n 'oscar.apps.search.context_processors.search_form',\n 'oscar.apps.promotions.context_processors.promotions',\n 'oscar.apps.checkout.context_processors.checkout',\n 'oscar.apps.customer.notifications.context_processors.notifications',\n 'oscar.core.context_processors.metadata',\n ]\n\n OSCAR_SHOP_NAME = 'FancyPages Sandbox'\n OSCAR_SHOP_TAGLINE = 'Make your pages sparkle and shine!'\n\n # Haystack settings\n HAYSTACK_CONNECTIONS = {\n 'default': {'ENGINE': 'haystack.backends.simple_backend.SimpleEngine'}}\n\n OSCAR_DASHBOARD_NAVIGATION = [\n {\n 'label': _('Dashboard'),\n 'icon': 'icon-th-list',\n 'url_name': 'dashboard:index',\n },\n {\n 'label': _('Catalogue'),\n 'icon': 'icon-sitemap',\n 'children': [\n {\n 'label': _('Products'),\n 'url_name': 'dashboard:catalogue-product-list',\n },\n {\n 'label': _('Pages / Categories'),\n 'url_name': 'fp-dashboard:page-list',\n },\n {\n 'label': _('Ranges'),\n 'url_name': 'dashboard:range-list',\n },\n {\n 'label': _('Low stock alerts'),\n 'url_name': 'dashboard:stock-alert-list',\n },\n ]\n },\n {\n 'label': _('Fulfilment'),\n 'icon': 'icon-shopping-cart',\n 'children': [\n {\n 'label': _('Order management'),\n 'url_name': 'dashboard:order-list',\n },\n {\n 'label': _('Statistics'),\n 'url_name': 'dashboard:order-stats',\n },\n ]\n },\n {\n 'label': _('Customers'),\n 'icon': 'icon-group',\n 'children': [\n {\n 'label': _('Customer management'),\n 'url_name': 'dashboard:users-index',\n },\n {\n 'label': _('Stock alert requests'),\n 'url_name': 'dashboard:user-alert-list',\n },\n ]\n },\n {\n 'label': _('Offers'),\n 'icon': 'icon-bullhorn',\n 'children': [\n {\n 'label': _('Offer management'),\n 'url_name': 'dashboard:offer-list',\n },\n {\n 'label': _('Vouchers'),\n 'url_name': 'dashboard:voucher-list',\n },\n ],\n },\n {\n 'label': _('Content'),\n 'icon': 'icon-folder-close',\n 'children': [\n {\n 'label': _('Content blocks'),\n 'url_name': 'dashboard:promotion-list',\n },\n {\n 'label': _('Content blocks by page'),\n 'url_name': 'dashboard:promotion-list-by-page',\n },\n {\n 'label': _('Pages'),\n 'url_name': 'dashboard:page-list',\n },\n {\n 'label': _('Email templates'),\n 'url_name': 'dashboard:comms-list',\n },\n {\n 'label': _('Reviews'),\n 'url_name': 'dashboard:reviews-list',\n },\n ]\n },\n {\n 'label': _('Reports'),\n 'icon': 'icon-bar-chart',\n 'url_name': 'dashboard:reports-index',\n },\n ]\n ########## END OSCAR SETTINGS\n\n", "metadata": "root.OscarFancypages", "header": "['module', '___EOS___']", "index": 12 }, { "content": " @property\n def INSTALLED_APPS(self):\n from oscar import get_core_apps\n return self.REQUIRED_APPS + [\n 'django.contrib.flatpages',\n 'compressor',\n ] + fp.get_fancypages_apps(use_with_oscar=True) \\\n + get_core_apps()", "metadata": "root.OscarFancypages.INSTALLED_APPS", "header": "['class', 'OscarFancypages', '(', 'common', '.', 'Common', ')', ':', '___EOS___']", "index": 15 }, { "content": " @property\n def TEMPLATE_DIRS(self):\n from oscar import OSCAR_MAIN_TEMPLATE_DIR\n return super(OscarFancypages, self).TEMPLATE_DIRS + [\n os.path.join(OSCAR_MAIN_TEMPLATE_DIR, 'templates'),\n OSCAR_MAIN_TEMPLATE_DIR,\n ]", "metadata": "root.OscarFancypages.TEMPLATE_DIRS", "header": "['class', 'OscarFancypages', '(', 'common', '.', 'Common', ')', ':', '___EOS___']", "index": 166 }, { "content": " @classmethod\n def pre_setup(cls):\n \"\"\"\n Set the default values for fancypages and oscar from their respective\n settings dictionaries before setting up/overwriting them on the\n configurations class.\n \"\"\"\n super(OscarFancypages, cls).pre_setup()\n from oscar.defaults import OSCAR_SETTINGS\n for key, value in OSCAR_SETTINGS.iteritems():\n if not hasattr(cls, key):\n setattr(cls, key, value)", "metadata": "root.OscarFancypages.pre_setup", "header": "['class', 'OscarFancypages', '(', 'common', '.', 'Common', ')', ':', '___EOS___']", "index": 174 }, { "content": "class OscarFancypagesPostgres(OscarFancypages):\n POSTGRES_PORT = values.Value(5432)\n", "metadata": "root.OscarFancypagesPostgres", "header": "['module', '___EOS___']", "index": 188 }, { "content": " @property\n def DATABASES(self):\n return {'default': {\n 'ENGINE': 'django.db.backends.postgresql_psycopg2',\n 'NAME': 'ofp_sandbox',\n 'USER': 'postgres',\n 'PASSWORD': '',\n 'HOST': 'localhost',\n 'PORT': self.POSTGRES_PORT}}", "metadata": "root.OscarFancypagesPostgres.DATABASES", "header": "['class', 'OscarFancypagesPostgres', '(', 'OscarFancypages', ')', ':', '___EOS___']", "index": 191 }, { "content": "class OscarFancypagesMysql(OscarFancypages):\n MYSQL_PORT = values.Value(3306)\n", "metadata": "root.OscarFancypagesMysql", "header": "['module', '___EOS___']", "index": 202 }, { "content": " @property\n def DATABASES(self):\n return {'default': {\n 'ENGINE': 'django.db.backends.mysql',\n 'NAME': 'ofp_sandbox',\n 'USER': 'root',\n 'PASSWORD': '',\n 'HOST': '127.0.0.1',\n 'PORT': self.MYSQL_PORT}}", "metadata": "root.OscarFancypagesMysql.DATABASES", "header": "['class', 'OscarFancypagesMysql', '(', 'OscarFancypages', ')', ':', '___EOS___']", "index": 205 } ]

[]

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[ { "content": " def _test_boolean_option(self, option):\n\n rebase_environment('app_without_logging_configuration')\n command = StubbedSearchCommand()\n\n # show_configuration accepts Splunk boolean values\n\n boolean_values = {\n '0': False, '1': True,\n 'f': False, 't': True,\n 'n': False, 'y': True,\n 'no': False, 'yes': True,\n 'false': False, 'true': True}\n\n for value in boolean_values:\n for variant in value, value.capitalize(), value.upper():\n for s in variant, bytes(variant):\n option.fset(command, s)\n self.assertEquals(option.fget(command), boolean_values[value])\n\n option.fset(command, None)\n self.assertEquals(option.fget(command), None)\n\n for value in 13, b'bytes', 'string', object():\n try:\n option.fset(command, value)\n except ValueError:\n pass\n except BaseException as error:\n self.fail('Expected ValueError when setting {}={}, but {} was raised'.format(\n option.name, repr(value), type(error)))\n else:\n self.fail('Expected ValueError, but {}={} was accepted.'.format(\n option.name, repr(option.fget(command))))\n\n return", "metadata": "root.TestBuiltinOptions._test_boolean_option", "header": "['class', 'TestBuiltinOptions', '(', 'TestCase', ')', ':', '___EOS___']", "index": 175 } ]

[]

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[ { "content": "# -*- coding: utf-8 -*-\nfrom __future__ import absolute_import, unicode_literals, division\nimport flask\nimport wsgi_intercept\nfrom wsgi_intercept.httplib2_intercept import install\nfrom .utils import force_import_module\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def http_setup(connectors, host, port, callback):\n # Install the WSGI interception layer.\n install()\n\n # Flask is pretty straightforward.\n # We just need to push an application context.\n application = flask.Flask(__name__)\n application.debug = True\n\n # Invoke the callback if we got one.\n if callback:\n callback()\n\n # Then import the resources; iterate and mount each one.\n module = force_import_module('tests.connectors.resources')\n for name in module.__all__:\n getattr(module, name).mount(r'/api/', application)\n\n # Enable the WSGI interception layer.\n wsgi_intercept.add_wsgi_intercept(host, port, lambda: application)", "metadata": "root.http_setup", "header": "['module', '___EOS___']", "index": 8 }, { "content": "def http_teardown(host, port):\n # Remove the WSGI interception layer.\n wsgi_intercept.remove_wsgi_intercept(host, port)", "metadata": "root.http_teardown", "header": "['module', '___EOS___']", "index": 30 } ]

[]

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[ { "content": "import pytest\nfrom thefuck.rules.rm_root import match, get_new_command\nfrom tests.utils import Command\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def test_match():\n assert match(Command(script='rm -rf /',\n stderr='add --no-preserve-root'))", "metadata": "root.test_match", "header": "['module', '___EOS___']", "index": 5 }, { "content": "@pytest.mark.parametrize('command', [\n Command(script='ls', stderr='add --no-preserve-root'),\n Command(script='rm --no-preserve-root /', stderr='add --no-preserve-root'),\n Command(script='rm -rf /', stderr='')])\ndef test_not_match(command):\n assert not match(command)", "metadata": "root.test_not_match", "header": "['module', '___EOS___']", "index": 10 }, { "content": "def test_get_new_command():\n assert get_new_command(Command(script='rm -rf /')) \\\n == 'rm -rf / --no-preserve-root'", "metadata": "root.test_get_new_command", "header": "['module', '___EOS___']", "index": 18 } ]

[]

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[ { "content": "# Copyright (c) 2010, 2011 Arek Korbik\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\nfrom hashlib import sha256\nimport hmac\nimport random\nimport struct\n\nfrom twimp.handshake import Handshaker\nfrom twimp.primitives import _s_ulong_b as _s_ulong\n\nfrom twimp.utils import ms_time\n\nLOG_CATEGORY = 'crypto.hs'\nimport twimp.log\nlog = twimp.log.get_logger(LOG_CATEGORY)\n\n\n\n\n# most constants defined in this module were caught floating around\n# the net...\n_shared_key_suffix = ('f0eec24a8068bee82e00d0d1029e7e57'\n '6eec5d2d29806fab93b8e636cfeb31ae').decode('hex')\n\n_fms_key = 'Genuine Adobe Flash Media Server 001'\n_full_fms_key = _fms_key + _shared_key_suffix\n\n_fp_key = 'Genuine Adobe Flash Player 001'\n_full_fp_key = _fp_key + _shared_key_suffix\n\n\n\n(OFFSET_SCHEME_1, OFFSET_SCHEME_2) = range(2)\n\nschemes = [\n (_make_offset_extractor(8, 4, 728, 12),),\n (_make_offset_extractor(772, 4, 728, 776),),\n ]\n\n# list of offset schemes, sorted by client's min version in descending order\nschemes_by_client_ver = [\n ((10,0,32,0), OFFSET_SCHEME_2, (10,0,32,2)),\n ((9,0,115,0), OFFSET_SCHEME_1, (9,0,115,0)),\n ]\n\n\n\nDEFAULT_SERVER_COMPAT_VERSION = (3, 0, 1, 1)\nDEFAULT_CLIENT_COMPAT_VERSION = schemes_by_client_ver[0][2] # the latest one\nNO_VERSION = (0, 0, 0, 0)\n\n\n_s_ts_ver = struct.Struct('>LBBBB')\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def _hmac(key, msg, digestmod=sha256):\n return hmac.new(key, msg, digestmod).digest()", "metadata": "root._hmac", "header": "['module', '___EOS___']", "index": 30 }, { "content": "def _make_offset_extractor(pos, count, mod, shift):\n return (lambda data: sum(map(ord, data[pos:pos+count])) % mod + shift)", "metadata": "root._make_offset_extractor", "header": "['module', '___EOS___']", "index": 46 }, { "content": "def find_client_offset_scheme(version):\n for min_scheme_version, scheme, _cli_version in schemes_by_client_ver:\n if version >= min_scheme_version:\n return scheme\n return None", "metadata": "root.find_client_offset_scheme", "header": "['module', '___EOS___']", "index": 62 }, { "content": "def generate_random_bytes(count):\n n = random.getrandbits(count * 8)\n fmt = '%%0%dx' % (count * 2)\n return (fmt % n).decode('hex')", "metadata": "root.generate_random_bytes", "header": "['module', '___EOS___']", "index": 76 }, { "content": "class CryptoHandshaker(Handshaker):\n server_compat_version = DEFAULT_SERVER_COMPAT_VERSION\n client_compat_version = DEFAULT_CLIENT_COMPAT_VERSION\n\n compat_version = None\n\n strict = True\n\n\n\n # the following four methods are verbose, *sigh*\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.CryptoHandshaker", "header": "['module', '___EOS___']", "index": 82 }, { "content": " def __init__(self, protocol, epoch_base, is_client=False):\n Handshaker.__init__(self, protocol, epoch_base, is_client=is_client)\n\n self._digest_offset_extractor = None\n if self.is_client:\n self.compat_version = self.client_compat_version\n\n # find a scheme matching our client version\n scheme = find_client_offset_scheme(self.compat_version)\n if scheme is not None:\n self._digest_offset_extractor = schemes[scheme][0]\n else:\n # otherwise we'll do non-crypto handshake\n self.compat_version = NO_VERSION\n else:\n self.compat_version = self.server_compat_version", "metadata": "root.CryptoHandshaker.__init__", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 90 }, { "content": " def select_own_key_short(self):\n if self.is_client:\n return _fp_key\n return _fms_key", "metadata": "root.CryptoHandshaker.select_own_key_short", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 109 }, { "content": " def select_own_key(self):\n if self.is_client:\n return _full_fp_key\n else:\n return _full_fms_key", "metadata": "root.CryptoHandshaker.select_own_key", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 114 }, { "content": " def select_other_key_short(self):\n if self.is_client:\n return _fms_key\n return _fp_key", "metadata": "root.CryptoHandshaker.select_other_key_short", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 120 }, { "content": " def select_other_key(self):\n if self.is_client:\n return _full_fms_key\n else:\n return _full_fp_key", "metadata": "root.CryptoHandshaker.select_other_key", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 125 }, { "content": " def _check_client_scheme(self, scheme, data):\n digest_offset_extractor, = schemes[scheme]\n\n # get digest offset\n offset = digest_offset_extractor(data)\n\n # calculate digest\n key = self.select_other_key_short() # assuming we're the server\n digest = _hmac(key, data[:offset] + data[offset+32:])\n\n return buffer(data, offset, 32) == buffer(digest)", "metadata": "root.CryptoHandshaker._check_client_scheme", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 132 }, { "content": " def discover_client_scheme(self, context):\n ts, v0, v1, v2, v3 = _s_ts_ver.unpack_from(context, 0)\n client_ver = (v0, v1, v2, v3)\n\n if client_ver == NO_VERSION:\n log.info(\"no client version - won't use crypto handshake\")\n return None\n\n log.debug('client version: %s', client_ver)\n\n # non-zero version - let's find out the scheme\n scheme = find_client_offset_scheme(client_ver)\n log.debug('scheme from ver: %s', scheme)\n if scheme is not None:\n if self._check_client_scheme(scheme, context):\n log.debug('verified client scheme: %s', scheme)\n self._digest_offset_extractor = schemes[scheme][0]\n return scheme\n\n log.debug('trying all known schemes...')\n # the exact version<->scheme match didn't help - try all the\n # other known schemes\n for i in xrange(len(schemes)):\n if i == scheme:\n # we've checked that one already\n continue\n\n if self._check_client_scheme(i, context):\n log.debug('verified client scheme: %s', i)\n self._digest_offset_extractor = schemes[i][0]\n return i\n\n log.info(\"couldn't figure the client scheme out\")\n if not self.strict:\n # Why so strict? Let's just use the lowest scheme we know\n log.debug('selecting scheme anyway: %s', OFFSET_SCHEME_1)\n return OFFSET_SCHEME_1\n\n return None", "metadata": "root.CryptoHandshaker.discover_client_scheme", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 145 }, { "content": " def generate_base_request(self):\n return (_s_ts_ver.pack(ms_time(self.epoch_time()),\n *self.compat_version) +\n generate_random_bytes(self.packet_bytes - 8))", "metadata": "root.CryptoHandshaker.generate_base_request", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 185 }, { "content": " def generate_request(self, context=None):\n base_request = self.generate_base_request()\n\n if self.is_client:\n if not self._digest_offset_extractor:\n return base_request\n else:\n scheme = self.discover_client_scheme(context)\n if scheme is None:\n return base_request\n\n # truncate, to leave space for digest\n request = buffer(base_request, 0, self.packet_bytes - 32)\n\n # get digest offset\n offset = self._digest_offset_extractor(request)\n\n # calculate digest\n key = self.select_own_key_short()\n digest = _hmac(key, request)\n\n # insert digest at the offset and return the whole packet\n return request[:offset] + digest + request[offset:]", "metadata": "root.CryptoHandshaker.generate_request", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 190 }, { "content": " def generate_simple_response(self, request):\n # echo the request, except for bytes 4-7, where we put our timestamp\n return (buffer(request, 0, 4) +\n (buffer(_s_ulong.pack(ms_time(self.epoch_time()))) +\n buffer(request, 8)))", "metadata": "root.CryptoHandshaker.generate_simple_response", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 214 }, { "content": " def generate_response(self, request):\n if not self._digest_offset_extractor:\n return self.generate_simple_response(request)\n\n # extract the digest embedded in request\n offset = self._digest_offset_extractor(request)\n req_digest = buffer(request, offset, 32)\n\n # calculate a digest of the request digest\n key = self.select_own_key()\n digest_key = _hmac(key, req_digest)\n\n # prepare response\n response = generate_random_bytes(self.packet_bytes - 32)\n\n # calculate response digest and append it to the response\n digest = _hmac(digest_key, response)\n return response + digest", "metadata": "root.CryptoHandshaker.generate_response", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 220 }, { "content": " def verify_simple_response(self, request, response):\n return (buffer(request, 0, 4) == buffer(response, 0, 4) and\n buffer(request, 8) == buffer(response, 8))", "metadata": "root.CryptoHandshaker.verify_simple_response", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 239 }, { "content": " def verify_response(self, request, response):\n if not self._digest_offset_extractor:\n return self.verify_simple_response(request, response)\n\n # extract the digest embedded in request\n offset = self._digest_offset_extractor(request)\n req_digest = buffer(request, offset, 32)\n\n # calculate what would have to be the digest of the request\n # digest calculated by the peer\n key = self.select_other_key()\n digest_key = _hmac(key, req_digest)\n\n # calculate our version of the response digest\n digest = _hmac(digest_key, buffer(response, 0, self.packet_bytes - 32))\n\n # print 'verify_response (%s)' % (('relaxed', 'strict')[self.strict])\n # print 'other:', response[-32:].encode('hex')\n # print ' mine:', digest.encode('hex')\n # print ' ==:', response[-32:] == digest\n\n if not self.strict:\n # in relaxed mode, just say it's all good\n return True\n\n # the response and our digests should match\n return buffer(response, len(response) - 32) == buffer(digest)", "metadata": "root.CryptoHandshaker.verify_response", "header": "['class', 'CryptoHandshaker', '(', 'Handshaker', ')', ':', '___EOS___']", "index": 243 } ]

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[ { "content": "import math\nfrom bisect import bisect_right\nimport array\n\ntry:\n import pyhash\n hash_func = pyhash.murmur2_x64_64a()\n HASH_LEN = 64\n raise ImportError\nexcept ImportError:\n HASH_LEN = 30\n\nSPARSE = 0\nNORMAL = 1\n\n\n\nif __name__ == '__main__':\n for e in (0.005, 0.01, 0.03, 0.05, 0.1):\n test(xrange(100), e)\n test(xrange(10000), e)\n test(xrange(100000), e)\n# test(xrange(1000000), e)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

[]

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[ { "content": "class Profile(EntityMixin, db.Document):\n \"\"\"A profile information type belonging to an entity\n\n The Profile class is an abstract type, defining the relationship between\n an entity and it's profiles, and holding the schema url for the type.\n\n An entity cannot have multiple profiles with the same schema.\n \"\"\"\n meta = {\n 'collection': 'profile',\n 'allow_inheritance': True,\n 'indexes': ['schema'],\n }\n\n #: The info type schema\n schema = URIField(unique_with='entity', required=True)\n permissions = DictField()\n\n\n\n", "metadata": "root.Profile", "header": "['module', '___EOS___']", "index": 13 }, { "content": " def __new__(cls, *args, **kwargs):\n \"\"\"If ``schema`` is included in the argument list, return a profile\n object using the correct class.\"\"\"\n if 'schema' in kwargs:\n cls = GenericProfile\n if CoreProfile.__schema__ == kwargs['schema']:\n cls = CoreProfile\n return super(Profile, cls).__new__(cls)", "metadata": "root.Profile.__new__", "header": "['class', 'Profile', '(', 'EntityMixin', ',', 'db', '.', 'Document', ')', ':', '___EOS___']", "index": 31 }, { "content": " def __init__(self, **kwargs):\n if self.__class__ is Profile:\n raise NotImplementedError(\"This class is abstract.\")\n\n super(Profile, self).__init__(**kwargs)\n\n # Use the classes default schema if it is availible and no schema has\n # been given. TODO: test this\n if not self.schema and hasattr(self.__class__, '__schema__'):\n self.schema = self.__class__.__schema__", "metadata": "root.Profile.__init__", "header": "['class', 'Profile', '(', 'EntityMixin', ',', 'db', '.', 'Document', ')', ':', '___EOS___']", "index": 40 }, { "content": " def __repr__(self):\n return \"<{}: {}>\".format(self.__class__.__name__, self.schema)", "metadata": "root.Profile.__repr__", "header": "['class', 'Profile', '(', 'EntityMixin', ',', 'db', '.', 'Document', ')', ':', '___EOS___']", "index": 51 }, { "content": " def update_values(self, values):\n raise NotImplementedError(\"This class is abstract.\")", "metadata": "root.Profile.update_values", "header": "['class', 'Profile', '(', 'EntityMixin', ',', 'db', '.', 'Document', ')', ':', '___EOS___']", "index": 54 }, { "content": "class CoreProfile(Profile):\n \"\"\"This model provides the Core profile info type.\n\n Documentation on this profile type can be found here:\n https://tent.io/docs/info-types#core\n\n TODO: Add licence and server relationships\n \"\"\"\n\n meta = {\n 'indexes': [{\n 'fields': ['identity'],\n 'sparse': True,\n }],\n }\n\n __schema__ = 'https://tent.io/types/info/core/v0.1.0'\n\n #: The canonical entity identity\n identity = URIField(unique_with='entity', required=True)\n\n servers = ListField(URIField())\n\n\n", "metadata": "root.CoreProfile", "header": "['module', '___EOS___']", "index": 58 }, { "content": " def __init__(self, *args, **kwargs):\n \"\"\"Sets public permissions and a default identity\"\"\"\n super(CoreProfile, self).__init__(*args, **kwargs)\n self.permissions['public'] = True\n if not self.identity and self.entity is not None:\n self.identity = url_for(\n 'entity.profiles', entity=self.entity, _external=True)", "metadata": "root.CoreProfile.__init__", "header": "['class', 'CoreProfile', '(', 'Profile', ')', ':', '___EOS___']", "index": 81 }, { "content": " def to_json(self):\n return {\n 'entity': self.identity,\n 'licences': [],\n 'servers': self.servers,\n 'tent_version': tent_version\n }", "metadata": "root.CoreProfile.to_json", "header": "['class', 'CoreProfile', '(', 'Profile', ')', ':', '___EOS___']", "index": 89 }, { "content": " def update_values(self, values):\n if 'identity' in values:\n self.identity = values['identity']\n if 'servers' in values:\n self.servers = values['servers']", "metadata": "root.CoreProfile.update_values", "header": "['class', 'CoreProfile', '(', 'Profile', ')', ':', '___EOS___']", "index": 97 } ]

[]

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[ { "content": "def _find_vm(name, data, quiet=False):\n '''\n Scan the query data for the named VM\n '''\n for hv_ in data:\n # Check if data is a dict, and not '\"virt.full_info\" is not available.'\n if not isinstance(data[hv_], dict):\n continue\n if name in data[hv_].get('vm_info', {}):\n ret = {hv_: {name: data[hv_]['vm_info'][name]}}\n if not quiet:\n __jid_event__.fire_event({'data': ret, 'outputter': 'nested'}, 'progress')\n return ret\n return {}", "metadata": "root._find_vm", "header": "['module', '___EOS___']", "index": 42 } ]

[]

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[ { "content": "from collections import namedtuple\nimport json\nimport sharknado\nimport unittest\nfrom bson import ObjectId\nfrom datetime import datetime, timedelta\nfrom tornado import escape, gen\nfrom tornado.escape import to_unicode\nfrom tornado.ioloop import IOLoop\nfrom tornado.testing import AsyncHTTPTestCase\nfrom six.moves.urllib.parse import urlencode\nfrom six import iteritems\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

[]

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[ { "content": "from logging import getLogger\nimport time\nimport collections\n\nimport django\nfrom django.db import models\nfrom django.db.models import query\ntry:\n from django.db.models.fields.related import ReverseSingleRelatedObjectDescriptor as ForwardManyToOneDescriptor\nexcept ImportError:\n from django.db.models.fields.related_descriptors import ForwardManyToOneDescriptor\n\n__version__ = '1.1.0'\n\nlogger = getLogger(__name__)\n\n\n\n\n\n\n\n\n\nP = PrefetchOption\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[]

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[ { "content": "# Copyright (c) 2015 Heiko Hees\nimport sys\nimport rlp\nfrom .base import LockSet, Vote, VoteBlock, VoteNil, Signed, Ready\nfrom .base import BlockProposal, VotingInstruction, DoubleVotingError, InvalidVoteError\nfrom .base import Block, Proposal, HDCBlockHeader, InvalidProposalError\nfrom .protocol import HDCProtocol\nfrom .utils import cstr, phx\nfrom .synchronizer import Synchronizer\nfrom ethereum.slogging import get_logger\nlog = get_logger('hdc.consensus')\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class ManagerDict(object):\n\n\n\n", "metadata": "root.ManagerDict", "header": "['module', '___EOS___']", "index": 13 }, { "content": " def __init__(self, dklass, parent):\n self.d = dict()\n self.dklass = dklass\n self.parent = parent", "metadata": "root.ManagerDict.__init__", "header": "['class', 'ManagerDict', '(', 'object', ')', ':', '___EOS___']", "index": 15 }, { "content": " def __getitem__(self, k):\n if k not in self.d:\n self.d[k] = self.dklass(self.parent, k)\n return self.d[k]", "metadata": "root.ManagerDict.__getitem__", "header": "['class', 'ManagerDict', '(', 'object', ')', ':', '___EOS___']", "index": 20 }, { "content": " def __iter__(self):\n return iter(sorted(self.d, reverse=True))", "metadata": "root.ManagerDict.__iter__", "header": "['class', 'ManagerDict', '(', 'object', ')', ':', '___EOS___']", "index": 25 }, { "content": " def pop(self, k):\n self.d.pop(k)", "metadata": "root.ManagerDict.pop", "header": "['class', 'ManagerDict', '(', 'object', ')', ':', '___EOS___']", "index": 28 }, { "content": "class MissingParent(Exception):\n pass", "metadata": "root.MissingParent", "header": "['module', '___EOS___']", "index": 32 }, { "content": "class ProtocolFailureEvidence(object):\n protocol = None\n evidence = None\n", "metadata": "root.ProtocolFailureEvidence", "header": "['module', '___EOS___']", "index": 36 }, { "content": " def __repr__(self):\n return '<%s protocol=%r evidence=%r>' % (self.__class__.__name__,\n self.protocol, self.evidence)", "metadata": "root.ProtocolFailureEvidence.__repr__", "header": "['class', 'ProtocolFailureEvidence', '(', 'object', ')', ':', '___EOS___']", "index": 40 }, { "content": "class InvalidProposalEvidence(ProtocolFailureEvidence):\n", "metadata": "root.InvalidProposalEvidence", "header": "['module', '___EOS___']", "index": 45 }, { "content": " def __init__(self, protocol, proposal):\n self.protocol = protocol\n self.evidence = proposal", "metadata": "root.InvalidProposalEvidence.__init__", "header": "['class', 'InvalidProposalEvidence', '(', 'ProtocolFailureEvidence', ')', ':', '___EOS___']", "index": 47 }, { "content": "class DoubleVotingEvidence(ProtocolFailureEvidence):\n", "metadata": "root.DoubleVotingEvidence", "header": "['module', '___EOS___']", "index": 52 }, { "content": " def __init__(self, protocol, vote, othervote):\n self.protocol = protocol\n self.evidence = (vote, othervote)", "metadata": "root.DoubleVotingEvidence.__init__", "header": "['class', 'DoubleVotingEvidence', '(', 'ProtocolFailureEvidence', ')', ':', '___EOS___']", "index": 54 }, { "content": "class InvalidVoteEvidence(ProtocolFailureEvidence):\n", "metadata": "root.InvalidVoteEvidence", "header": "['module', '___EOS___']", "index": 59 }, { "content": " def __init__(self, protocol, vote):\n self.protocol = protocol\n self.evidence = vote", "metadata": "root.InvalidVoteEvidence.__init__", "header": "['class', 'InvalidVoteEvidence', '(', 'ProtocolFailureEvidence', ')', ':', '___EOS___']", "index": 61 }, { "content": "class FailedToProposeEvidence(ProtocolFailureEvidence):\n", "metadata": "root.FailedToProposeEvidence", "header": "['module', '___EOS___']", "index": 66 }, { "content": " def __init__(self, protocol, round_lockset):\n self.protocol = protocol\n self.evidence = round_lockset", "metadata": "root.FailedToProposeEvidence.__init__", "header": "['class', 'FailedToProposeEvidence', '(', 'ProtocolFailureEvidence', ')', ':', '___EOS___']", "index": 68 }, { "content": "class ForkDetectedEvidence(ProtocolFailureEvidence):\n", "metadata": "root.ForkDetectedEvidence", "header": "['module', '___EOS___']", "index": 73 }, { "content": " def __init__(self, protocol, prevblock, block, committing_lockset):\n self.protocol = protocol\n self.evidence = (prevblock, block, committing_lockset)", "metadata": "root.ForkDetectedEvidence.__init__", "header": "['class', 'ForkDetectedEvidence', '(', 'ProtocolFailureEvidence', ')', ':', '___EOS___']", "index": 75 }, { "content": "class ConsensusManager(object):\n\n allow_empty_blocks = False\n num_initial_blocks = 10\n round_timeout = 3 # timeout when waiting for proposal\n round_timeout_factor = 1.5 # timeout increase per round\n transaction_timeout = 0.5 # delay when waiting for new transaction\n\n\n\n # persist proposals and last committing lockset\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n # message handling\n\n\n # validator ready handling\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n start = process\n\n\n\n", "metadata": "root.ConsensusManager", "header": "['module', '___EOS___']", "index": 80 }, { "content": " def __init__(self, chainservice, consensus_contract, privkey):\n self.chainservice = chainservice\n self.chain = chainservice.chain\n self.contract = consensus_contract\n self.privkey = privkey\n\n self.synchronizer = Synchronizer(self)\n self.heights = ManagerDict(HeightManager, self)\n self.block_candidates = dict() # blockhash : BlockProposal\n\n self.tracked_protocol_failures = list()\n\n # wait for enough validators in order to start\n self.ready_validators = set() # addresses\n self.ready_nonce = 0\n\n assert self.contract.isvalidator(self.coinbase)\n self.initialize_locksets()\n\n self.ready_validators = set([self.coinbase]) # old votes dont count", "metadata": "root.ConsensusManager.__init__", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 88 }, { "content": " def initialize_locksets(self):\n log.debug('initializing locksets')\n # sign genesis\n v = self.sign(VoteBlock(0, 0, self.chainservice.chain.genesis.hash))\n self.add_vote(v)\n\n # add initial lockset\n head_proposal = self.load_proposal(self.head.hash)\n # assert head_proposal\n if head_proposal:\n assert head_proposal.blockhash == self.head.hash\n for v in head_proposal.signing_lockset:\n self.add_vote(v) # head - 1 , height -2\n assert self.heights[self.head.header.number - 1].has_quorum\n last_committing_lockset = self.load_last_committing_lockset()\n if last_committing_lockset:\n assert last_committing_lockset.has_quorum == self.head.hash\n for v in last_committing_lockset.votes:\n self.add_vote(v) # head , height - 1\n assert self.heights[self.head.header.number].has_quorum\n else:\n assert self.head.header.number == 0\n assert self.highest_committing_lockset\n assert self.last_committing_lockset\n assert self.last_valid_lockset", "metadata": "root.ConsensusManager.initialize_locksets", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 109 }, { "content": " def store_last_committing_lockset(self, ls):\n assert isinstance(ls, LockSet)\n assert ls.has_quorum\n self.chainservice.db.put('last_committing_lockset', rlp.encode(ls))", "metadata": "root.ConsensusManager.store_last_committing_lockset", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 137 }, { "content": " def load_last_committing_lockset(self):\n try:\n data = self.chainservice.db.get('last_committing_lockset')\n except KeyError:\n self.log('no last_committing_lockset could be loaded')\n return\n return rlp.decode(data, sedes=LockSet)", "metadata": "root.ConsensusManager.load_last_committing_lockset", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 142 }, { "content": " def store_proposal(self, p):\n assert isinstance(p, BlockProposal)\n self.chainservice.db.put('blockproposal:%s' % p.blockhash, rlp.encode(p))", "metadata": "root.ConsensusManager.store_proposal", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 150 }, { "content": " def load_proposal_rlp(self, blockhash):\n try:\n prlp = self.chainservice.db.get('blockproposal:%s' % blockhash)\n assert isinstance(prlp, bytes)\n return prlp\n except KeyError:\n return None", "metadata": "root.ConsensusManager.load_proposal_rlp", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 154 }, { "content": " def load_proposal(self, blockhash):\n prlp = self.load_proposal_rlp(blockhash)\n if prlp:\n return rlp.decode(prlp, sedes=BlockProposal)", "metadata": "root.ConsensusManager.load_proposal", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 162 }, { "content": " def get_blockproposal(self, blockhash):\n return self.block_candidates.get(blockhash) or self.load_proposal(blockhash)", "metadata": "root.ConsensusManager.get_blockproposal", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 167 }, { "content": " def has_blockproposal(self, blockhash):\n return bool(self.load_proposal_rlp(blockhash))", "metadata": "root.ConsensusManager.has_blockproposal", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 170 }, { "content": " def get_blockproposal_rlp_by_height(self, height):\n assert 0 < height < self.height\n bh = self.chainservice.chain.index.get_block_by_number(height)\n return self.load_proposal_rlp(bh)", "metadata": "root.ConsensusManager.get_blockproposal_rlp_by_height", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 173 }, { "content": " @property\n def coinbase(self):\n return self.chain.coinbase", "metadata": "root.ConsensusManager.coinbase", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 178 }, { "content": " def set_proposal_lock(self, block):\n self.chainservice.set_proposal_lock(block)", "metadata": "root.ConsensusManager.set_proposal_lock", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 182 }, { "content": " def __repr__(self):\n return '<CP A:%r H:%d R:%d L:%r %s>' % (phx(self.coinbase), self.height, self.round,\n self.active_round.lock,\n self.active_round.lockset.state)", "metadata": "root.ConsensusManager.__repr__", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 185 }, { "content": " def log(self, tag, **kargs):\n # if self.coinbase != 0: return\n t = int(self.chainservice.now)\n c = lambda x: cstr(self.coinbase, x)\n msg = ' '.join([str(t), c(repr(self)), tag, (' %r' % kargs if kargs else '')])\n log.debug(msg)", "metadata": "root.ConsensusManager.log", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 190 }, { "content": " @property\n def head(self):\n return self.chain.head", "metadata": "root.ConsensusManager.head", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 197 }, { "content": " @property\n def height(self):\n return self.head.number + 1", "metadata": "root.ConsensusManager.height", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 201 }, { "content": " @property\n def round(self):\n return self.heights[self.height].round", "metadata": "root.ConsensusManager.round", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 205 }, { "content": " def broadcast(self, m):\n self.log('broadcasting', message=m)\n self.chainservice.broadcast(m)", "metadata": "root.ConsensusManager.broadcast", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 211 }, { "content": " @property\n def is_ready(self):\n return len(self.ready_validators) > len(self.contract.validators) * 2 / 3.", "metadata": "root.ConsensusManager.is_ready", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 217 }, { "content": " def send_ready(self):\n self.log('cm.send_ready')\n assert not self.is_ready\n r = Ready(self.ready_nonce, self.active_round.lockset)\n self.sign(r)\n self.broadcast(r)\n self.ready_nonce += 1", "metadata": "root.ConsensusManager.send_ready", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 221 }, { "content": " def add_ready(self, ready, proto=None):\n assert isinstance(ready, Ready)\n assert self.contract.isvalidator(ready.sender)\n self.ready_validators.add(ready.sender)\n self.log('cm.add_ready', validator=ready.sender)\n if self.is_ready:\n self.log('cm.add_ready, sufficient count of validators ready',\n num=len(self.ready_validators))\n else:\n self.send_ready()", "metadata": "root.ConsensusManager.add_ready", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 229 }, { "content": " def add_vote(self, v, proto=None):\n assert isinstance(v, Vote)\n assert self.contract.isvalidator(v.sender)\n self.ready_validators.add(v.sender)\n # exception for externaly received votes signed by self, necessary for resyncing\n is_own_vote = bool(v.sender == self.coinbase)\n try:\n success = self.heights[v.height].add_vote(v, force_replace=is_own_vote)\n except DoubleVotingError:\n ls = self.heights[v.height].rounds[v.round].lockset\n self.tracked_protocol_failures.append(DoubleVotingEvidence(proto, v, ls))\n log.warn('double voting detected', vote=v, ls=ls)\n return success", "metadata": "root.ConsensusManager.add_vote", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 240 }, { "content": " def add_proposal(self, p, proto=None):\n assert isinstance(p, Proposal)\n assert proto is None or isinstance(proto, HDCProtocol)\n\n def check(valid):\n if not valid:\n self.tracked_protocol_failures.append(InvalidProposalEvidence(None, p))\n log.warn('invalid proposal', p=p)\n raise InvalidProposalError()\n return True\n\n self.log('cm.add_proposal', p=p)\n if p.height < self.height:\n self.log('proposal from the past')\n return\n\n if not check(self.contract.isvalidator(p.sender) and self.contract.isproposer(p)):\n return\n self.ready_validators.add(p.sender)\n\n if not check(p.lockset.is_valid):\n return\n if not check(p.lockset.height == p.height or p.round == 0):\n return\n if not check(p.round - p.lockset.round == 1 or p.round == 0):\n return\n\n # proposal is valid\n if proto is not None: # inactive proto is False\n self.synchronizer.on_proposal(p, proto)\n\n for v in p.lockset:\n self.add_vote(v) # implicitly checks their validity\n if isinstance(p, BlockProposal):\n if not check(p.block.number == p.height):\n return\n if not check(p.lockset.has_noquorum or p.round == 0):\n return\n # validation\n if p.height > self.height:\n self.log('proposal from the future, not in sync', p=p)\n return # note: we are not broadcasting this, as we could not validate\n blk = self.chainservice.link_block(p.block)\n if not check(blk):\n # safeguard for forks:\n # if there is a quorum on a block which can not be applied: panic!\n ls = self.heights[p.height].last_quorum_lockset\n if ls and ls.has_quorum == p.blockhash:\n raise ForkDetectedEvidence(proto, (self.head, p, ls))\n sys.exit(1)\n return\n p._mutable = True\n p._cached_rlp = None\n p.block = blk # block linked to chain\n self.log('successfully linked block')\n self.add_block_proposal(p) # implicitly checks the votes validity\n else:\n assert isinstance(p, VotingInstruction)\n assert p.lockset.round == p.round - 1 and p.height == p.lockset.height\n assert p.round > 0\n assert p.lockset.has_quorum_possible\n assert not p.lockset.has_quorum\n if not check(p.lockset.has_quorum_possible and not p.lockset.has_quorum):\n return\n is_valid = self.heights[p.height].add_proposal(p)\n return is_valid # can be broadcasted", "metadata": "root.ConsensusManager.add_proposal", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 254 }, { "content": " def add_lockset(self, ls, proto=None):\n assert ls.is_valid\n for v in ls:\n self.add_vote(v) # implicitly checks their validity", "metadata": "root.ConsensusManager.add_lockset", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 321 }, { "content": " def add_block_proposal(self, p):\n assert isinstance(p, BlockProposal)\n if self.has_blockproposal(p.blockhash):\n self.log('known block_proposal')\n return\n assert p.signing_lockset.has_quorum # on previous block\n assert p.signing_lockset.height == p.height - 1\n for v in p.signing_lockset:\n self.add_vote(v)\n self.block_candidates[p.blockhash] = p", "metadata": "root.ConsensusManager.add_block_proposal", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 326 }, { "content": " @property\n def last_committing_lockset(self):\n return self.heights[self.height - 1].last_quorum_lockset", "metadata": "root.ConsensusManager.last_committing_lockset", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 337 }, { "content": " @property\n def highest_committing_lockset(self):\n for height in self.heights:\n ls = self.heights[height].last_quorum_lockset\n if ls:\n return ls", "metadata": "root.ConsensusManager.highest_committing_lockset", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 341 }, { "content": " @property\n def last_valid_lockset(self):\n return self.heights[self.height].last_valid_lockset or self.last_committing_lockset", "metadata": "root.ConsensusManager.last_valid_lockset", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 348 }, { "content": " @property\n def last_lock(self):\n return self.heights[self.height].last_lock", "metadata": "root.ConsensusManager.last_lock", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 352 }, { "content": " @property\n def last_blockproposal(self):\n # valid block proposal on currrent height\n p = self.heights[self.height].last_voted_blockproposal\n if p:\n return p\n elif self.height > 1: # or last block\n return self.get_blockproposal(self.head.hash)", "metadata": "root.ConsensusManager.last_blockproposal", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 356 }, { "content": " @property\n def active_round(self):\n hm = self.heights[self.height]\n return hm.rounds[hm.round]", "metadata": "root.ConsensusManager.active_round", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 365 }, { "content": " def setup_alarm(self):\n ar = self.active_round\n delay = ar.get_timeout()\n self.log('in set up alarm', delay=delay)\n if self.is_waiting_for_proposal:\n if delay is not None:\n self.chainservice.setup_alarm(delay, self.on_alarm, ar)\n self.log('set up alarm on timeout', now=self.chainservice.now,\n delay=delay, triggered=delay + self.chainservice.now)\n else:\n self.chainservice.setup_transaction_alarm(self.on_alarm, ar)\n self.log('set up alarm on tx', now=self.chainservice.now)", "metadata": "root.ConsensusManager.setup_alarm", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 370 }, { "content": " def on_alarm(self, ar):\n assert isinstance(ar, RoundManager)\n if self.active_round == ar:\n self.log('on alarm, matched', ts=self.chainservice.now)\n if not self.is_ready:\n # defer alarm if not ready\n self.log('not ready defering alarm', ts=self.chainservice.now)\n self.setup_alarm()\n elif not self.is_waiting_for_proposal:\n # defer alarm if there are no pending transactions\n self.log('no txs defering alarm', ts=self.chainservice.now)\n self.setup_alarm()\n else:\n self.process()", "metadata": "root.ConsensusManager.on_alarm", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 383 }, { "content": " @property\n def is_waiting_for_proposal(self):\n return self.allow_empty_blocks \\\n or self.has_pending_transactions \\\n or self.height <= self.num_initial_blocks", "metadata": "root.ConsensusManager.is_waiting_for_proposal", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 398 }, { "content": " @property\n def has_pending_transactions(self):\n return self.chain.head_candidate.num_transactions() > 0", "metadata": "root.ConsensusManager.has_pending_transactions", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 404 }, { "content": " def process(self):\n r = self._process()\n return r", "metadata": "root.ConsensusManager.process", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 408 }, { "content": " def _process(self):\n self.log('-' * 40)\n self.log('in process')\n if not self.is_ready:\n self.log('not ready ')\n self.setup_alarm()\n return\n self.commit()\n self.heights[self.height].process()\n if self.commit(): # re enter process if we did commit (e.g. to immediately propose)\n return self._process()\n self.cleanup()\n self.synchronizer.process()\n self.setup_alarm()\n\n for f in self.tracked_protocol_failures:\n if not isinstance(f, FailedToProposeEvidence):\n log.warn('protocol failure', incident=f)", "metadata": "root.ConsensusManager._process", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 412 }, { "content": " def commit(self):\n self.log('in commit')\n for p in [c for c in self.block_candidates.values() if c.block.prevhash == self.head.hash]:\n assert isinstance(p, BlockProposal)\n ls = self.heights[p.height].last_quorum_lockset\n if ls and ls.has_quorum == p.blockhash:\n self.store_proposal(p)\n self.store_last_committing_lockset(ls)\n success = self.chainservice.commit_block(p.block)\n assert success\n if success:\n self.log('commited', p=p, hash=phx(p.blockhash))\n assert self.head == p.block\n self.commit() # commit all possible\n return True\n else:\n self.log('could not commit', p=p)\n else:\n self.log('no quorum for', p=p)\n if ls:\n self.log('votes', votes=ls.votes)", "metadata": "root.ConsensusManager.commit", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 433 }, { "content": " def cleanup(self):\n self.log('in cleanup')\n for p in self.block_candidates.values():\n if self.head.number >= p.height:\n self.block_candidates.pop(p.blockhash)\n for h in list(self.heights):\n if self.heights[h].height < self.head.number:\n self.heights.pop(h)", "metadata": "root.ConsensusManager.cleanup", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 455 }, { "content": " def mk_lockset(self, height):\n return LockSet(num_eligible_votes=self.contract.num_eligible_votes(height))", "metadata": "root.ConsensusManager.mk_lockset", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 464 }, { "content": " def sign(self, o):\n assert isinstance(o, Signed)\n return o.sign(self.privkey)", "metadata": "root.ConsensusManager.sign", "header": "['class', 'ConsensusManager', '(', 'object', ')', ':', '___EOS___']", "index": 467 }, { "content": "class HeightManager(object):\n\n\n\n\n\n\n\n\n\n", "metadata": "root.HeightManager", "header": "['module', '___EOS___']", "index": 472 }, { "content": " def __init__(self, consensusmanager, height=0):\n self.cm = consensusmanager\n self.log = self.cm.log\n self.height = height\n self.rounds = ManagerDict(RoundManager, self)\n log.debug('A:%s Created HeightManager H:%d' % (phx(self.cm.coinbase), self.height))", "metadata": "root.HeightManager.__init__", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 474 }, { "content": " @property\n def round(self):\n l = self.last_valid_lockset\n if l:\n return l.round + 1\n return 0", "metadata": "root.HeightManager.round", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 481 }, { "content": " @property\n def last_lock(self):\n \"highest lock on height\"\n rs = list(self.rounds)\n assert len(rs) < 2 or rs[0] > rs[1] # FIXME REMOVE\n for r in self.rounds: # is sorted highest to lowest\n if self.rounds[r].lock is not None:\n return self.rounds[r].lock", "metadata": "root.HeightManager.last_lock", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 488 }, { "content": " @property\n def last_voted_blockproposal(self):\n \"the last block proposal node voted on\"\n for r in self.rounds:\n if isinstance(self.rounds[r].proposal, BlockProposal):\n assert isinstance(self.rounds[r].lock, Vote)\n if self.rounds[r].proposal.blockhash == self.rounds[r].lock.blockhash:\n return self.rounds[r].proposal", "metadata": "root.HeightManager.last_voted_blockproposal", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 497 }, { "content": " @property\n def last_valid_lockset(self):\n \"highest valid lockset on height\"\n for r in self.rounds:\n ls = self.rounds[r].lockset\n if ls.is_valid:\n return ls\n return None", "metadata": "root.HeightManager.last_valid_lockset", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 506 }, { "content": " @property\n def last_quorum_lockset(self):\n found = None\n for r in sorted(self.rounds): # search from lowest round first\n ls = self.rounds[r].lockset\n if ls.is_valid and ls.has_quorum:\n if found is not None: # consistency check, only one quorum on block allowed\n for r in sorted(self.rounds): # dump all locksets\n self.log('multiple valid locksets', round=r, ls=self.rounds[r].lockset,\n votes=self.rounds[r].lockset.votes)\n if found.has_quorum != ls.has_quorum:\n log.error('FATAL: multiple valid locksets on different proposals')\n import sys\n sys.exit(1)\n found = ls\n return found", "metadata": "root.HeightManager.last_quorum_lockset", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 515 }, { "content": " @property\n def has_quorum(self):\n ls = self.last_quorum_lockset\n if ls:\n return ls.has_quorum", "metadata": "root.HeightManager.has_quorum", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 532 }, { "content": " def add_vote(self, v, force_replace=False):\n return self.rounds[v.round].add_vote(v, force_replace)", "metadata": "root.HeightManager.add_vote", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 538 }, { "content": " def add_proposal(self, p):\n assert p.height == self.height\n assert p.lockset.is_valid\n if p.round > self.round:\n self.round = p.round\n return self.rounds[p.round].add_proposal(p)", "metadata": "root.HeightManager.add_proposal", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 541 }, { "content": " def process(self):\n self.log('in hm.process', height=self.height)\n self.rounds[self.round].process()", "metadata": "root.HeightManager.process", "header": "['class', 'HeightManager', '(', 'object', ')', ':', '___EOS___']", "index": 548 }, { "content": "class RoundManager(object):\n\n\n\n\n\n\n\n", "metadata": "root.RoundManager", "header": "['module', '___EOS___']", "index": 553 }, { "content": " def __init__(self, heightmanager, round_=0):\n\n assert isinstance(round_, int)\n self.round = round_\n\n self.hm = heightmanager\n self.cm = heightmanager.cm\n self.log = self.hm.log\n self.height = heightmanager.height\n self.lockset = self.cm.mk_lockset(self.height)\n self.proposal = None\n self.lock = None\n self.timeout_time = None\n log.debug('A:%s Created RoundManager H:%d R:%d' %\n (phx(self.cm.coinbase), self.hm.height, self.round))", "metadata": "root.RoundManager.__init__", "header": "['class', 'RoundManager', '(', 'object', ')', ':', '___EOS___']", "index": 555 }, { "content": " def get_timeout(self):\n \"setup a timeout for waiting for a proposal\"\n if self.timeout_time is not None or self.proposal:\n return\n now = self.cm.chainservice.now\n round_timeout = ConsensusManager.round_timeout\n round_timeout_factor = ConsensusManager.round_timeout_factor\n delay = round_timeout * round_timeout_factor ** self.round\n self.timeout_time = now + delay\n return delay", "metadata": "root.RoundManager.get_timeout", "header": "['class', 'RoundManager', '(', 'object', ')', ':', '___EOS___']", "index": 571 }, { "content": " def add_vote(self, v, force_replace=False):\n if v in self.lockset:\n return\n self.log('rm.adding', vote=v, received_proposal=self.proposal)\n try:\n success = self.lockset.add(v, force_replace)\n except InvalidVoteError:\n self.cm.tracked_protocol_failures.append(InvalidVoteEvidence(None, v))\n return\n # report failed proposer\n if self.lockset.is_valid:\n self.log('lockset is valid', ls=self.lockset)\n if not self.proposal and self.lockset.has_noquorum:\n self.cm.tracked_protocol_failures.append(\n FailedToProposeEvidence(None, self.lockset))\n return success", "metadata": "root.RoundManager.add_vote", "header": "['class', 'RoundManager', '(', 'object', ')', ':', '___EOS___']", "index": 582 }, { "content": " def add_proposal(self, p):\n self.log('rm.adding', proposal=p, old=self.proposal)\n assert isinstance(p, Proposal)\n assert isinstance(p, VotingInstruction) or isinstance(p.block, Block) # already linked\n assert not self.proposal or self.proposal == p\n self.proposal = p\n return True", "metadata": "root.RoundManager.add_proposal", "header": "['class', 'RoundManager', '(', 'object', ')', ':', '___EOS___']", "index": 599 }, { "content": " def process(self):\n self.log('in rm.process', height=self.hm.height, round=self.round)\n\n assert self.cm.round == self.round\n assert self.cm.height == self.hm.height == self.height\n p = self.propose()\n if isinstance(p, BlockProposal):\n self.cm.add_block_proposal(p)\n if p:\n self.cm.broadcast(p)\n v = self.vote()\n if v:\n self.cm.broadcast(v)\n assert not self.proposal or self.lock", "metadata": "root.RoundManager.process", "header": "['class', 'RoundManager', '(', 'object', ')', ':', '___EOS___']", "index": 607 }, { "content": " def mk_proposal(self, round_lockset=None):\n signing_lockset = self.cm.last_committing_lockset.copy() # quorum which signs prev block\n if self.round > 0:\n round_lockset = self.cm.last_valid_lockset.copy()\n assert round_lockset.has_noquorum\n else:\n round_lockset = None\n assert signing_lockset.has_quorum\n # for R0 (std case) we only need one lockset!\n assert round_lockset is None or self.round > 0\n block = self.cm.chain.head_candidate\n # fix pow\n block.header.__class__ = HDCBlockHeader\n block.should_be_locked = True\n bp = BlockProposal(self.height, self.round, block, signing_lockset, round_lockset)\n self.cm.sign(bp)\n self.cm.set_proposal_lock(block)\n assert self.cm.chainservice.proposal_lock.locked()\n return bp", "metadata": "root.RoundManager.mk_proposal", "header": "['class', 'RoundManager', '(', 'object', ')', ':', '___EOS___']", "index": 622 }, { "content": " def propose(self):\n if not self.cm.is_waiting_for_proposal:\n return\n proposer = self.cm.contract.proposer(self.height, self.round)\n self.log('in propose', proposer=phx(proposer), proposal=self.proposal, lock=self.lock)\n if proposer != self.cm.coinbase:\n return\n self.log('is proposer')\n if self.proposal:\n assert self.proposal.sender == self.cm.coinbase\n assert self.lock\n return\n\n round_lockset = self.cm.last_valid_lockset\n if not round_lockset:\n self.log('no valid round lockset for height')\n return\n\n self.log('in creating proposal', round_lockset=round_lockset)\n\n if round_lockset.height == self.height and round_lockset.has_quorum:\n self.log('have quorum on height, not proposing')\n return\n elif self.round == 0 or round_lockset.has_noquorum:\n proposal = self.mk_proposal()\n elif round_lockset.has_quorum_possible:\n proposal = VotingInstruction(self.height, self.round, round_lockset.copy())\n self.cm.sign(proposal)\n else:\n raise Exception('invalid round_lockset')\n\n self.log('created proposal', p=proposal, bh=phx(proposal.blockhash))\n self.proposal = proposal\n return proposal", "metadata": "root.RoundManager.propose", "header": "['class', 'RoundManager', '(', 'object', ')', ':', '___EOS___']", "index": 642 }, { "content": " def vote(self):\n if self.lock:\n return # voted in this round\n self.log('in vote', proposal=self.proposal, pid=id(self.proposal))\n\n # get last lock on height\n last_lock = self.hm.last_lock\n\n if self.proposal:\n if isinstance(self.proposal, VotingInstruction):\n assert self.proposal.lockset.has_quorum_possible\n self.log('voting on instruction')\n v = VoteBlock(self.height, self.round, self.proposal.blockhash)\n elif not isinstance(last_lock, VoteBlock):\n assert isinstance(self.proposal, BlockProposal)\n assert isinstance(self.proposal.block, Block) # already linked to chain\n assert self.proposal.lockset.has_noquorum or self.round == 0\n assert self.proposal.block.prevhash == self.cm.head.hash\n self.log('voting proposed block')\n v = VoteBlock(self.height, self.round, self.proposal.blockhash)\n else: # repeat vote\n self.log('voting on last vote')\n v = VoteBlock(self.height, self.round, last_lock.blockhash)\n elif self.timeout_time is not None and self.cm.chainservice.now >= self.timeout_time:\n if isinstance(last_lock, VoteBlock): # repeat vote\n self.log('timeout voting on last vote')\n v = VoteBlock(self.height, self.round, last_lock.blockhash)\n else:\n self.log('timeout voting not locked')\n v = VoteNil(self.height, self.round)\n else:\n return\n self.cm.sign(v)\n\n self.log('voted', vote=v)\n self.lock = v\n assert self.hm.last_lock == self.lock\n self.lockset.add(v)\n return v", "metadata": "root.RoundManager.vote", "header": "['class', 'RoundManager', '(', 'object', ')', ':', '___EOS___']", "index": 677 } ]

[]

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[ { "content": " def clear(self, version=None):\n \"\"\"Flush cache keys.\n\n If version is specified, all keys belonging the version's key\n namespace will be deleted. Otherwise, all keys will be deleted.\n \"\"\"\n if version is None:\n self._clear(self.master_client)\n else:\n self.delete_pattern('*', version=version)", "metadata": "root.RedisCache.clear", "header": "['class', 'RedisCache', '(', 'BaseRedisCache', ')', ':', '___EOS___']", "index": 41 } ]

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[ { "content": " # -*- coding: utf-8 -*-\n\n'''\nClimatic plotting tools\n_________\nA micro toolbox of wind data plotting tools with matplotlib\n\n'''\nfrom __future__ import division\nimport math\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport stylers\nimport husl\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def husl_gen():\n '''Generate random set of HUSL colors, one dark, one light'''\n hue = np.random.randint(0, 360)\n saturation, lightness = np.random.randint(0, 100, 2)\n husl_dark = husl.husl_to_hex(hue, saturation, lightness/3)\n husl_light = husl.husl_to_hex(hue, saturation, lightness)\n return husl_dark, husl_light", "metadata": "root.husl_gen", "header": "['module', '___EOS___']", "index": 16 }, { "content": "def wind_rose(freqs, sectors=12, title='Wind Rose', color=None,\n all_ticks=False):\n '''\n Plots a wind rose using sectorwise frequencies\n\n Parameters:\n ___________\n freqs: numpy array, list, or pandas series of float or int\n Array of frequencies to plot for wind rose\n sectors: int\n Number of sectors to plot. Must be the same as len(freqs) to\n avoid error\n title: string\n Plot title\n color: string, default None\n Plot color, from standard matplotlib color library\n all_ticks: boolean, default False\n Enabling this parameter will plot ticks for every sector. Otherwise,\n only 30 degree ticks are plotted\n\n Returns:\n ________\n Wind rose plot\n '''\n\n #Set up binned frequencies and labels\n bins = 360/sectors\n theta = np.arange(0, 360, bins)\n theta_rad = theta*math.pi/180\n if all_ticks:\n ticklabs = [str(x) for x in theta]\n ticks = theta\n else:\n ticklabs, ticks = np.arange(0, 360, 30), np.arange(0, 360, 30)\n\n #Plot, with N correctly oriented\n fig = plt.figure(figsize=(8, 8))\n ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)\n ax.set_theta_zero_location('N')\n ax.set_theta_direction(-1)\n ax.set_thetagrids(ticks, labels=ticklabs)\n ax.set_title(title)\n ax.grid(True, 'major', color='w', linestyle='-', linewidth=0.7)\n ax.patch.set_facecolor('0.90')\n ax.set_axisbelow(True)\n width = bins*math.pi/180\n adj_theta = theta_rad-width/2\n stylers.rbar(ax, adj_theta, freqs, width=width, bottom=0.0, alpha=0.7,\n color=color)", "metadata": "root.wind_rose", "header": "['module', '___EOS___']", "index": 25 }, { "content": "def weibull(x, dist, binned=False, binned_x=None, binned_data=None, **kwargs):\n '''\n Plots a weibull distribution, both the pdf and binned values\n\n Parameters:\n ___________\n x: array of float or int\n x-axis array, independent axis\n dist: scipy.stats pdf\n pdf of distribution, generated by scipy.stats\n binned: boolean, default False\n True if you want to plot both the continuous distribution and\n the hourly distribution\n binned_x: array of float or int, default None\n x-axis array for binned data, optional\n binned_data: array of float or int, default none\n binned data, to plot over pdf\n\n Returns:\n ________\n Plot of weibull distribution\n '''\n\n fig, ax1 = plt.subplots()\n ax2 = None\n\n if binned:\n bin_width = binned_x[1]-binned_x[0]\n stylers.rbar(ax1, binned_x, binned_data, width=bin_width, **kwargs)\n stylers.rstyle(ax1)\n ax1.set_xlabel(r'Wind Speed [m/s]', fontsize=12)\n ax1.set_ylabel(r'Hours', fontsize=12)\n ax2 = ax1.twinx()\n\n if ax2:\n pdfax = ax2\n else:\n pdfax = ax1\n\n pdfax.set_xlim((0, 40))\n stylers.rfill(pdfax, x, dist,)\n if not ax2:\n stylers.rstyle(pdfax)\n pdfax.set_ylabel(r'PDF', fontsize=12)", "metadata": "root.weibull", "header": "['module', '___EOS___']", "index": 76 } ]

[]

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[ { "content": "# Copyright 2014 Hewlett-Packard Development Company, L.P.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n\n\n\"\"\"Test class for Management Interface used by iLO modules.\"\"\"\n\nimport mock\nfrom oslo_config import cfg\nimport six\n\nfrom ironic.common import exception\nfrom ironic.common import states\nfrom ironic.common import utils\nfrom ironic.conductor import task_manager\nfrom ironic.conductor import utils as conductor_utils\nfrom ironic.db import api as dbapi\nfrom ironic.drivers.modules.ilo import common as ilo_common\nfrom ironic.drivers.modules.ilo import inspect as ilo_inspect\nfrom ironic.drivers.modules.ilo import power as ilo_power\nfrom ironic.tests.unit.conductor import mgr_utils\nfrom ironic.tests.unit.db import base as db_base\nfrom ironic.tests.unit.db import utils as db_utils\nfrom ironic.tests.unit.objects import utils as obj_utils\n\n\nINFO_DICT = db_utils.get_test_ilo_info()\nCONF = cfg.CONF\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class IloInspectTestCase(db_base.DbTestCase):\n\n\n\n\n\n\n", "metadata": "root.IloInspectTestCase", "header": "['module', '___EOS___']", "index": 40 }, { "content": " def setUp(self):\n super(IloInspectTestCase, self).setUp()\n mgr_utils.mock_the_extension_manager(driver=\"fake_ilo\")\n self.node = obj_utils.create_test_node(\n self.context, driver='fake_ilo', driver_info=INFO_DICT)", "metadata": "root.IloInspectTestCase.setUp", "header": "['class', 'IloInspectTestCase', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 42 }, { "content": " def test_get_properties(self):\n with task_manager.acquire(self.context, self.node.uuid,\n shared=False) as task:\n properties = ilo_common.REQUIRED_PROPERTIES.copy()\n self.assertEqual(properties,\n task.driver.inspect.get_properties())", "metadata": "root.IloInspectTestCase.test_get_properties", "header": "['class', 'IloInspectTestCase', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 48 }, { "content": " @mock.patch.object(ilo_common, 'parse_driver_info', spec_set=True,\n autospec=True)\n def test_validate(self, driver_info_mock):\n with task_manager.acquire(self.context, self.node.uuid,\n shared=False) as task:\n task.driver.inspect.validate(task)\n driver_info_mock.assert_called_once_with(task.node)", "metadata": "root.IloInspectTestCase.test_validate", "header": "['class', 'IloInspectTestCase', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 55 }, { "content": " @mock.patch.object(ilo_inspect, '_get_capabilities', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_inspect, '_create_ports_if_not_exist',\n spec_set=True, autospec=True)\n @mock.patch.object(ilo_inspect, '_get_essential_properties', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_power.IloPower, 'get_power_state', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_common, 'get_ilo_object', spec_set=True,\n autospec=True)\n def test_inspect_essential_ok(self, get_ilo_object_mock,\n power_mock,\n get_essential_mock,\n create_port_mock,\n get_capabilities_mock):\n ilo_object_mock = get_ilo_object_mock.return_value\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64'}\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa', 'Port 2': 'bb:bb:bb:bb:bb:bb'}\n capabilities = ''\n result = {'properties': properties, 'macs': macs}\n get_essential_mock.return_value = result\n get_capabilities_mock.return_value = capabilities\n power_mock.return_value = states.POWER_ON\n with task_manager.acquire(self.context, self.node.uuid,\n shared=False) as task:\n task.driver.inspect.inspect_hardware(task)\n self.assertEqual(properties, task.node.properties)\n power_mock.assert_called_once_with(mock.ANY, task)\n get_essential_mock.assert_called_once_with(task.node,\n ilo_object_mock)\n get_capabilities_mock.assert_called_once_with(task.node,\n ilo_object_mock)\n create_port_mock.assert_called_once_with(task.node, macs)", "metadata": "root.IloInspectTestCase.test_inspect_essential_ok", "header": "['class', 'IloInspectTestCase', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 63 }, { "content": " @mock.patch.object(ilo_inspect, '_get_capabilities', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_inspect, '_create_ports_if_not_exist',\n spec_set=True, autospec=True)\n @mock.patch.object(ilo_inspect, '_get_essential_properties', spec_set=True,\n autospec=True)\n @mock.patch.object(conductor_utils, 'node_power_action', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_power.IloPower, 'get_power_state', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_common, 'get_ilo_object', spec_set=True,\n autospec=True)\n def test_inspect_essential_ok_power_off(self, get_ilo_object_mock,\n power_mock,\n set_power_mock,\n get_essential_mock,\n create_port_mock,\n get_capabilities_mock):\n ilo_object_mock = get_ilo_object_mock.return_value\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64'}\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa', 'Port 2': 'bb:bb:bb:bb:bb:bb'}\n capabilities = ''\n result = {'properties': properties, 'macs': macs}\n get_essential_mock.return_value = result\n get_capabilities_mock.return_value = capabilities\n power_mock.return_value = states.POWER_OFF\n with task_manager.acquire(self.context, self.node.uuid,\n shared=False) as task:\n task.driver.inspect.inspect_hardware(task)\n self.assertEqual(properties, task.node.properties)\n power_mock.assert_called_once_with(mock.ANY, task)\n set_power_mock.assert_any_call(task, states.POWER_ON)\n get_essential_mock.assert_called_once_with(task.node,\n ilo_object_mock)\n get_capabilities_mock.assert_called_once_with(task.node,\n ilo_object_mock)\n create_port_mock.assert_called_once_with(task.node, macs)", "metadata": "root.IloInspectTestCase.test_inspect_essential_ok_power_off", "header": "['class', 'IloInspectTestCase', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 98 }, { "content": " @mock.patch.object(ilo_inspect, '_get_capabilities', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_inspect, '_create_ports_if_not_exist',\n spec_set=True, autospec=True)\n @mock.patch.object(ilo_inspect, '_get_essential_properties', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_power.IloPower, 'get_power_state', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_common, 'get_ilo_object', spec_set=True,\n autospec=True)\n def test_inspect_essential_capabilities_ok(self, get_ilo_object_mock,\n power_mock,\n get_essential_mock,\n create_port_mock,\n get_capabilities_mock):\n ilo_object_mock = get_ilo_object_mock.return_value\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64'}\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa', 'Port 2': 'bb:bb:bb:bb:bb:bb'}\n capability_str = 'BootMode:uefi'\n capabilities = {'BootMode': 'uefi'}\n result = {'properties': properties, 'macs': macs}\n get_essential_mock.return_value = result\n get_capabilities_mock.return_value = capabilities\n power_mock.return_value = states.POWER_ON\n with task_manager.acquire(self.context, self.node.uuid,\n shared=False) as task:\n task.driver.inspect.inspect_hardware(task)\n expected_properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64',\n 'capabilities': capability_str}\n self.assertEqual(expected_properties, task.node.properties)\n power_mock.assert_called_once_with(mock.ANY, task)\n get_essential_mock.assert_called_once_with(task.node,\n ilo_object_mock)\n get_capabilities_mock.assert_called_once_with(task.node,\n ilo_object_mock)\n create_port_mock.assert_called_once_with(task.node, macs)", "metadata": "root.IloInspectTestCase.test_inspect_essential_capabilities_ok", "header": "['class', 'IloInspectTestCase', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 137 }, { "content": " @mock.patch.object(ilo_inspect, '_get_capabilities', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_inspect, '_create_ports_if_not_exist',\n spec_set=True, autospec=True)\n @mock.patch.object(ilo_inspect, '_get_essential_properties', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_power.IloPower, 'get_power_state', spec_set=True,\n autospec=True)\n @mock.patch.object(ilo_common, 'get_ilo_object', spec_set=True,\n autospec=True)\n def test_inspect_essential_capabilities_exist_ok(self, get_ilo_object_mock,\n power_mock,\n get_essential_mock,\n create_port_mock,\n get_capabilities_mock):\n ilo_object_mock = get_ilo_object_mock.return_value\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64',\n 'somekey': 'somevalue'}\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa', 'Port 2': 'bb:bb:bb:bb:bb:bb'}\n result = {'properties': properties, 'macs': macs}\n capabilities = {'BootMode': 'uefi'}\n get_essential_mock.return_value = result\n get_capabilities_mock.return_value = capabilities\n power_mock.return_value = states.POWER_ON\n with task_manager.acquire(self.context, self.node.uuid,\n shared=False) as task:\n task.node.properties = {'capabilities': 'foo:bar'}\n expected_capabilities = ('BootMode:uefi,'\n 'foo:bar')\n set1 = set(expected_capabilities.split(','))\n task.driver.inspect.inspect_hardware(task)\n end_capabilities = task.node.properties['capabilities']\n set2 = set(end_capabilities.split(','))\n self.assertEqual(set1, set2)\n expected_properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64',\n 'capabilities': end_capabilities}\n power_mock.assert_called_once_with(mock.ANY, task)\n self.assertEqual(task.node.properties, expected_properties)\n get_essential_mock.assert_called_once_with(task.node,\n ilo_object_mock)\n get_capabilities_mock.assert_called_once_with(task.node,\n ilo_object_mock)\n create_port_mock.assert_called_once_with(task.node, macs)", "metadata": "root.IloInspectTestCase.test_inspect_essential_capabilities_exist_ok", "header": "['class', 'IloInspectTestCase', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 176 }, { "content": "class TestInspectPrivateMethods(db_base.DbTestCase):\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.TestInspectPrivateMethods", "header": "['module', '___EOS___']", "index": 223 }, { "content": " def setUp(self):\n super(TestInspectPrivateMethods, self).setUp()\n mgr_utils.mock_the_extension_manager(driver=\"fake_ilo\")\n self.node = obj_utils.create_test_node(\n self.context, driver='fake_ilo', driver_info=INFO_DICT)", "metadata": "root.TestInspectPrivateMethods.setUp", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 225 }, { "content": " @mock.patch.object(ilo_inspect.LOG, 'info', spec_set=True, autospec=True)\n @mock.patch.object(dbapi, 'get_instance', spec_set=True, autospec=True)\n def test__create_ports_if_not_exist(self, instance_mock, log_mock):\n db_obj = instance_mock.return_value\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa', 'Port 2': 'bb:bb:bb:bb:bb:bb'}\n node_id = self.node.id\n port_dict1 = {'address': 'aa:aa:aa:aa:aa:aa', 'node_id': node_id}\n port_dict2 = {'address': 'bb:bb:bb:bb:bb:bb', 'node_id': node_id}\n ilo_inspect._create_ports_if_not_exist(self.node, macs)\n instance_mock.assert_called_once_with()\n self.assertTrue(log_mock.called)\n db_obj.create_port.assert_any_call(port_dict1)\n db_obj.create_port.assert_any_call(port_dict2)", "metadata": "root.TestInspectPrivateMethods.test__create_ports_if_not_exist", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 231 }, { "content": " @mock.patch.object(ilo_inspect.LOG, 'warning',\n spec_set=True, autospec=True)\n @mock.patch.object(dbapi, 'get_instance', spec_set=True, autospec=True)\n def test__create_ports_if_not_exist_mac_exception(self,\n instance_mock,\n log_mock):\n dbapi_mock = instance_mock.return_value\n dbapi_mock.create_port.side_effect = exception.MACAlreadyExists('f')\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa', 'Port 2': 'bb:bb:bb:bb:bb:bb'}\n ilo_inspect._create_ports_if_not_exist(self.node, macs)\n instance_mock.assert_called_once_with()\n self.assertTrue(log_mock.called)", "metadata": "root.TestInspectPrivateMethods.test__create_ports_if_not_exist_mac_exception", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 245 }, { "content": " def test__get_essential_properties_ok(self):\n ilo_mock = mock.MagicMock(spec=['get_essential_properties'])\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64'}\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa', 'Port 2': 'bb:bb:bb:bb:bb:bb'}\n result = {'properties': properties, 'macs': macs}\n ilo_mock.get_essential_properties.return_value = result\n actual_result = ilo_inspect._get_essential_properties(self.node,\n ilo_mock)\n self.assertEqual(result, actual_result)", "metadata": "root.TestInspectPrivateMethods.test__get_essential_properties_ok", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 258 }, { "content": " def test__get_essential_properties_fail(self):\n ilo_mock = mock.MagicMock(\n spec=['get_additional_capabilities', 'get_essential_properties'])\n # Missing key: cpu_arch\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1'}\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa', 'Port 2': 'bb:bb:bb:bb:bb:bb'}\n result = {'properties': properties, 'macs': macs}\n ilo_mock.get_essential_properties.return_value = result\n result = self.assertRaises(exception.HardwareInspectionFailure,\n ilo_inspect._get_essential_properties,\n self.node,\n ilo_mock)\n self.assertEqual(\n six.text_type(result),\n (\"Failed to inspect hardware. Reason: Server didn't return the \"\n \"key(s): cpu_arch\"))", "metadata": "root.TestInspectPrivateMethods.test__get_essential_properties_fail", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 269 }, { "content": " def test__get_essential_properties_fail_invalid_format(self):\n ilo_mock = mock.MagicMock(\n spec=['get_additional_capabilities', 'get_essential_properties'])\n # Not a dict\n properties = ['memory_mb', '512', 'local_gb', '10',\n 'cpus', '1']\n macs = ['aa:aa:aa:aa:aa:aa', 'bb:bb:bb:bb:bb:bb']\n capabilities = ''\n result = {'properties': properties, 'macs': macs}\n ilo_mock.get_essential_properties.return_value = result\n ilo_mock.get_additional_capabilities.return_value = capabilities\n self.assertRaises(exception.HardwareInspectionFailure,\n ilo_inspect._get_essential_properties,\n self.node, ilo_mock)", "metadata": "root.TestInspectPrivateMethods.test__get_essential_properties_fail_invalid_format", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 287 }, { "content": " def test__get_essential_properties_fail_mac_invalid_format(self):\n ilo_mock = mock.MagicMock(spec=['get_essential_properties'])\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64'}\n # Not a dict\n macs = 'aa:aa:aa:aa:aa:aa'\n result = {'properties': properties, 'macs': macs}\n ilo_mock.get_essential_properties.return_value = result\n self.assertRaises(exception.HardwareInspectionFailure,\n ilo_inspect._get_essential_properties,\n self.node, ilo_mock)", "metadata": "root.TestInspectPrivateMethods.test__get_essential_properties_fail_mac_invalid_format", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 302 }, { "content": " def test__get_essential_properties_hardware_port_empty(self):\n ilo_mock = mock.MagicMock(\n spec=['get_additional_capabilities', 'get_essential_properties'])\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64'}\n # Not a dictionary\n macs = None\n result = {'properties': properties, 'macs': macs}\n capabilities = ''\n ilo_mock.get_essential_properties.return_value = result\n ilo_mock.get_additional_capabilities.return_value = capabilities\n self.assertRaises(exception.HardwareInspectionFailure,\n ilo_inspect._get_essential_properties,\n self.node, ilo_mock)", "metadata": "root.TestInspectPrivateMethods.test__get_essential_properties_hardware_port_empty", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 314 }, { "content": " def test__get_essential_properties_hardware_port_not_dict(self):\n ilo_mock = mock.MagicMock(spec=['get_essential_properties'])\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1', 'cpu_arch': 'x86_64'}\n # Not a dict\n macs = 'aa:bb:cc:dd:ee:ff'\n result = {'properties': properties, 'macs': macs}\n ilo_mock.get_essential_properties.return_value = result\n result = self.assertRaises(\n exception.HardwareInspectionFailure,\n ilo_inspect._get_essential_properties, self.node, ilo_mock)", "metadata": "root.TestInspectPrivateMethods.test__get_essential_properties_hardware_port_not_dict", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 329 }, { "content": " @mock.patch.object(utils, 'get_updated_capabilities', spec_set=True,\n autospec=True)\n def test__get_capabilities_ok(self, capability_mock):\n ilo_mock = mock.MagicMock(spec=['get_server_capabilities'])\n capabilities = {'ilo_firmware_version': 'xyz'}\n ilo_mock.get_server_capabilities.return_value = capabilities\n cap = ilo_inspect._get_capabilities(self.node, ilo_mock)\n self.assertEqual(cap, capabilities)", "metadata": "root.TestInspectPrivateMethods.test__get_capabilities_ok", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 341 }, { "content": " def test__validate_ok(self):\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '2', 'cpu_arch': 'x86_arch'}\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa'}\n data = {'properties': properties, 'macs': macs}\n valid_keys = ilo_inspect.IloInspect.ESSENTIAL_PROPERTIES\n ilo_inspect._validate(self.node, data)\n self.assertEqual(sorted(set(properties)), sorted(valid_keys))", "metadata": "root.TestInspectPrivateMethods.test__validate_ok", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 350 }, { "content": " def test__validate_essential_keys_fail_missing_key(self):\n properties = {'memory_mb': '512', 'local_gb': '10',\n 'cpus': '1'}\n macs = {'Port 1': 'aa:aa:aa:aa:aa:aa'}\n data = {'properties': properties, 'macs': macs}\n self.assertRaises(exception.HardwareInspectionFailure,\n ilo_inspect._validate, self.node, data)", "metadata": "root.TestInspectPrivateMethods.test__validate_essential_keys_fail_missing_key", "header": "['class', 'TestInspectPrivateMethods', '(', 'db_base', '.', 'DbTestCase', ')', ':', '___EOS___']", "index": 359 } ]

[]

[]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": "# Copyright 2013 - Red Hat, Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n\nimport json\n\nimport mock\n\nfrom solum.api.controllers.v1.datamodel import service as servicemodel\nfrom solum.api.controllers.v1 import service\nfrom solum.common import exception\nfrom solum import objects\nfrom solum.tests import base\nfrom solum.tests import fakes\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "@mock.patch('pecan.request', new_callable=fakes.FakePecanRequest)\n@mock.patch('pecan.response', new_callable=fakes.FakePecanResponse)\n@mock.patch('solum.api.handlers.service_handler.ServiceHandler')\nclass TestServiceController(base.BaseTestCase):\n\n\n\n\n\n\n", "metadata": "root.TestServiceController", "header": "['module', '___EOS___']", "index": 26 }, { "content": " def setUp(self):\n super(TestServiceController, self).setUp()\n objects.load()", "metadata": "root.TestServiceController.setUp", "header": "['class', 'TestServiceController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 30 }, { "content": " def test_service_get(self, ServiceHandler, resp_mock, request_mock):\n hand_get = ServiceHandler.return_value.get\n fake_service = fakes.FakeService()\n hand_get.return_value = fake_service\n cont = service.ServiceController('test_id')\n resp = cont.get()\n self.assertIsNotNone(resp)\n self.assertEqual(fake_service.name, resp['result'].name)\n self.assertEqual(fake_service.description,\n resp['result'].description)\n self.assertEqual(fake_service.project_id, resp['result'].project_id)\n self.assertEqual(fake_service.uuid, resp['result'].uuid)\n hand_get.assert_called_with('test_id')\n self.assertEqual(200, resp_mock.status)", "metadata": "root.TestServiceController.test_service_get", "header": "['class', 'TestServiceController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 34 }, { "content": " def test_service_get_not_found(self, ServiceHandler,\n resp_mock, request_mock):\n hand_get = ServiceHandler.return_value.get\n hand_get.side_effect = exception.ResourceNotFound(\n name='service', service_id='test_id')\n cont = service.ServiceController('test_id')\n cont.get()\n hand_get.assert_called_with('test_id')\n self.assertEqual(404, resp_mock.status)", "metadata": "root.TestServiceController.test_service_get_not_found", "header": "['class', 'TestServiceController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 49 }, { "content": " def test_service_put_none(self, ServiceHandler, resp_mock, request_mock):\n request_mock.body = None\n request_mock.content_type = 'application/json'\n hand_put = ServiceHandler.return_value.put\n hand_put.return_value = fakes.FakeService()\n service.ServiceController('test_id').put()\n self.assertEqual(400, resp_mock.status)", "metadata": "root.TestServiceController.test_service_put_none", "header": "['class', 'TestServiceController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 59 }, { "content": " def test_service_put_not_found(self, ServiceHandler,\n resp_mock, request_mock):\n json_update = {'user_id': 'foo', 'name': 'appy'}\n request_mock.body = json.dumps(json_update)\n request_mock.content_type = 'application/json'\n hand_update = ServiceHandler.return_value.update\n hand_update.side_effect = exception.ResourceNotFound(\n name='service',\n service_id='test_id')\n service.ServiceController('test_id').put()\n hand_update.assert_called_with('test_id', json_update)\n self.assertEqual(404, resp_mock.status)", "metadata": "root.TestServiceController.test_service_put_not_found", "header": "['class', 'TestServiceController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 67 }, { "content": " def test_service_put_ok(self, ServiceHandler, resp_mock, request_mock):\n json_update = {'name': 'fee', 'user_id': 'me'}\n request_mock.body = json.dumps(json_update)\n request_mock.content_type = 'application/json'\n hand_update = ServiceHandler.return_value.update\n hand_update.return_value = fakes.FakeService()\n service.ServiceController('test_id').put()\n hand_update.assert_called_with('test_id', json_update)\n self.assertEqual(200, resp_mock.status)", "metadata": "root.TestServiceController.test_service_put_ok", "header": "['class', 'TestServiceController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 80 }, { "content": " def test_service_delete_not_found(self, ServiceHandler,\n resp_mock, request_mock):\n hand_delete = ServiceHandler.return_value.delete\n hand_delete.side_effect = exception.ResourceNotFound(\n name='service',\n service_id='test_id')\n obj = service.ServiceController('test_id')\n obj.delete()\n hand_delete.assert_called_with('test_id')\n self.assertEqual(404, resp_mock.status)", "metadata": "root.TestServiceController.test_service_delete_not_found", "header": "['class', 'TestServiceController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 90 }, { "content": " def test_service_delete_ok(self, ServiceHandler, resp_mock, request_mock):\n hand_delete = ServiceHandler.return_value.delete\n hand_delete.return_value = None\n obj = service.ServiceController('test_id')\n obj.delete()\n hand_delete.assert_called_with('test_id')\n self.assertEqual(204, resp_mock.status)", "metadata": "root.TestServiceController.test_service_delete_ok", "header": "['class', 'TestServiceController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 101 }, { "content": "@mock.patch('pecan.request', new_callable=fakes.FakePecanRequest)\n@mock.patch('pecan.response', new_callable=fakes.FakePecanResponse)\n@mock.patch('solum.api.handlers.service_handler.ServiceHandler')\nclass TestServicesController(base.BaseTestCase):\n\n\n", "metadata": "root.TestServicesController", "header": "['module', '___EOS___']", "index": 110 }, { "content": " def setUp(self):\n super(TestServicesController, self).setUp()\n objects.load()", "metadata": "root.TestServicesController.setUp", "header": "['class', 'TestServicesController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 114 }, { "content": " def test_services_get_all(self, handler_mock, resp_mock, request_mock):\n hand_get_all = handler_mock.return_value.get_all\n fake_service = fakes.FakeService()\n hand_get_all.return_value = [fake_service]\n obj = service.ServicesController()\n resp = obj.get_all()\n self.assertIsNotNone(resp)\n self.assertEqual(fake_service.name, resp['result'][0].name)\n self.assertEqual(fake_service.description,\n resp['result'][0].description)\n self.assertEqual(fake_service.project_id, resp['result'][0].project_id)\n self.assertEqual(fake_service.uuid, resp['result'][0].uuid)\n hand_get_all.assert_called_with()\n self.assertEqual(200, resp_mock.status)", "metadata": "root.TestServicesController.test_services_get_all", "header": "['class', 'TestServicesController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 118 }, { "content": " def test_services_post(self, handler_mock, resp_mock, request_mock):\n json_create = {'name': 'foo',\n 'description': 'test_desc_service',\n 'user_id': 'user_id_test',\n 'project_id': 'project_id_test'}\n request_mock.body = json.dumps(json_create)\n request_mock.content_type = 'application/json'\n handler_create = handler_mock.return_value.create\n handler_create.return_value = fakes.FakeService()\n service.ServicesController().post()\n handler_create.assert_called_with(json_create)\n self.assertEqual(201, resp_mock.status)\n handler_create.assert_called_once_with(json_create)", "metadata": "root.TestServicesController.test_services_post", "header": "['class', 'TestServicesController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 133 }, { "content": " def test_services_post_nodata(self, handler_mock, resp_mock, request_mock):\n request_mock.body = ''\n request_mock.content_type = 'application/json'\n handler_create = handler_mock.return_value.create\n handler_create.return_value = fakes.FakeService()\n ret_val = service.ServicesController().post()\n self.assertEqual(\"Missing argument: \\\"data\\\"\",\n str(ret_val['faultstring']))\n self.assertEqual(400, resp_mock.status)", "metadata": "root.TestServicesController.test_services_post_nodata", "header": "['class', 'TestServicesController', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 147 }, { "content": "class TestServiceAsDict(base.BaseTestCase):\n\n scenarios = [\n ('none', dict(data=None)),\n ('one', dict(data={'name': 'foo'})),\n ('full', dict(data={'uri': 'http://example.com/v1/services/x1',\n 'name': 'Example-service',\n 'type': 'service',\n 'tags': ['small'],\n 'project_id': '1dae5a09ef2b4d8cbf3594b0eb4f6b94',\n 'user_id': '55f41cf46df74320b9486a35f5d28a11',\n 'description': 'A service'}))\n ]\n", "metadata": "root.TestServiceAsDict", "header": "['module', '___EOS___']", "index": 158 }, { "content": " def test_as_dict(self):\n objects.load()\n if self.data is None:\n s = servicemodel.Service()\n self.data = {}\n else:\n s = servicemodel.Service(**self.data)\n if 'uri' in self.data:\n del self.data['uri']\n if 'type' in self.data:\n del self.data['type']\n self.assertEqual(self.data,\n s.as_dict(objects.registry.Service))", "metadata": "root.TestServiceAsDict.test_as_dict", "header": "['class', 'TestServiceAsDict', '(', 'base', '.', 'BaseTestCase', ')', ':', '___EOS___']", "index": 172 } ]

[]

[]

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[ { "content": "from setuptools import setup, find_packages\n\nversion = \"0.3.3\"\n\nsetup(name=\"stapler\",\n version=version,\n description=\"Manipulate PDF documents from the command line\",\n keywords=\"pdf utility cli concatenate tool\",\n \n author=\"Philip Stark, Fred Wenzel\",\n author_email=\"git@codechaos.ch\",\n url=\"https://github.com/hellerbarde/stapler\",\n\n install_requires = [\n \"PyPDF>=1.12\",\n #\"PyPDF2>=1.24\",\n ],\n\n #include_package_data=True,\n packages=find_packages(),\n package_data={\"\": [\"LICENSE\", \"CONTRIBUTORS\", \"README.md\", ]},\n entry_points=\"\"\"\n [console_scripts]\n stapler = staplelib:main\n pdf-stapler = staplelib:main\n \"\"\",\n\n classifiers=[\n \"Development Status :: 5 - Production/Stable\",\n \"Programming Language :: Python :: 2\",\n \"Intended Audience :: Science/Research\",\n \"Topic :: Utilities\",\n \"License :: OSI Approved :: BSD License\"\n ],\n)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

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[ { "content": "from rx import AnonymousObservable\nfrom rx.disposables import CompositeDisposable\n\nfrom .exceptions import DisposedException\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def add_ref(xs, r):\n def subscribe(observer):\n return CompositeDisposable(r.disposable, xs.subscribe(observer))\n\n return AnonymousObservable(subscribe)", "metadata": "root.add_ref", "header": "['module', '___EOS___']", "index": 6 }, { "content": "def adapt_call(func):\n \"\"\"Adapt called func.\n\n Adapt called funcfrom taking n params to only taking 1 or 2 params\n \"\"\"\n cached = [None]\n\n def func1(arg1, *_):\n return func(arg1)\n\n def func2(arg1, arg2=None, *_):\n return func(arg1, arg2)\n\n def func_wrapped(*args, **kw):\n if cached[0]:\n return cached[0](*args, **kw)\n\n for fn in (func1, func2):\n try:\n ret = fn(*args, **kw)\n except TypeError:\n continue\n else:\n cached[0] = fn\n return ret\n\n # Error if we get here. Just call original function to generate a\n # meaningful error message\n return func(*args, **kw)\n return func_wrapped", "metadata": "root.adapt_call", "header": "['module', '___EOS___']", "index": 13 }, { "content": "def check_disposed(this):\n if this.is_disposed:\n raise DisposedException()", "metadata": "root.check_disposed", "header": "['module', '___EOS___']", "index": 45 }, { "content": "def is_future(p):\n return callable(getattr(p, \"add_done_callback\", None))", "metadata": "root.is_future", "header": "['module', '___EOS___']", "index": 50 }, { "content": "class TimeInterval(object):\n", "metadata": "root.TimeInterval", "header": "['module', '___EOS___']", "index": 54 }, { "content": " def __init__(self, value, interval):\n self.value = value\n self.interval = interval", "metadata": "root.TimeInterval.__init__", "header": "['class', 'TimeInterval', '(', 'object', ')', ':', '___EOS___']", "index": 56 }, { "content": "class Timestamp(object):\n", "metadata": "root.Timestamp", "header": "['module', '___EOS___']", "index": 61 }, { "content": " def __init__(self, value, timestamp):\n self.value = value\n self.timestamp = timestamp", "metadata": "root.Timestamp.__init__", "header": "['class', 'Timestamp', '(', 'object', ')', ':', '___EOS___']", "index": 63 } ]

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[ { "content": "class StatementExpressionOnly(StatementChildrenHavingBase):\n kind = \"STATEMENT_EXPRESSION_ONLY\"\n\n named_children = (\n \"expression\",\n )\n\n\n\n\n\n getExpression = StatementChildrenHavingBase.childGetter(\n \"expression\"\n )\n", "metadata": "root.StatementExpressionOnly", "header": "['module', '___EOS___']", "index": 214 } ]

[]

[]

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[ { "content": "def find_value(source, predicate, yield_index):\n def subscribe(observer):\n i = [0]\n\n def on_next(x):\n should_run = False\n try:\n should_run = predicate(x, i, source)\n except Exception as ex:\n observer.on_error(ex)\n return\n\n if should_run:\n observer.on_next(i[0] if yield_index else x)\n observer.on_completed()\n else:\n i[0] += 1\n\n def on_completed():\n observer.on_next(-1 if yield_index else None)\n observer.on_completed()\n\n return source.subscribe(on_next, observer.on_error, on_completed)\n return AnonymousObservable(subscribe)", "metadata": "root.find_value", "header": "['module', '___EOS___']", "index": 5 } ]

[]

[]

[ "[CLS]_", "Except", "_", "block_", "handles_", "'", "Base", "Except", "ion", "'_", "[SEP]_", "module_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "def_", "find", "\\u", "value_", "(_", "source_", ",_", "predicate_", ",_", "yield", "\\u", "index_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "def_", "subscribe_", "(_", "observer_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "i_", "=_", "[_", "0_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "def_", "on", "\\u", "next_", "(_", "x_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "shou", "ld", "\\u", "run_", "=_", "False_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "try_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "shou", "ld", "\\u", "run_", "=_", "predicate_", "(_", "x_", ",_", "i_", ",_", "source_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "except_", "Exception_", "as_", "ex_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "observer_", "._", "on", "\\u", "error_", "(_", "ex_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "return_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "if_", "shou", "ld", "\\u", "run_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "observer_", "._", "on", "\\u", "next_", "(_", "i_", "[_", "0_", "]_", "if_", "yield", "\\u", "index_", "else_", "x_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "observer_", "._", "on", "\\u", "completed_", "(_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "else_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "i_", "[_", "0_", "]_", "+=_", "1_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "def_", "on", "\\u", "completed_", "(_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "observer_", "._", "on", "\\u", "next_", "(_", "-_", "1_", "if_", "yield", "\\u", "index_", "else_", "None_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "observer_", "._", "on", "\\u", "completed_", "(_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "return_", "source_", "._", "subscribe_", "(_", "on", "\\u", "next_", ",_", "observer_", "._", "on", "\\u", "error_", ",_", "on", "\\u", "completed_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "return_", "Ano", "nym", "ous", "Observable_", "(_", "subscribe_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_" ]

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[ { "content": "import numpy as np\nfrom numpy.testing import assert_array_equal\nfrom nose.tools import assert_raises, assert_equals, assert_almost_equals\nfrom ....models.classes import MatrixPreferenceDataModel, \\\n MatrixBooleanPrefDataModel\nfrom ..item_strategies import ItemsNeighborhoodStrategy, AllPossibleItemsStrategy\nfrom ..neighborhood_strategies import AllNeighborsStrategy, NearestNeighborsStrategy\nfrom ....similarities.basic_similarities import ItemSimilarity, UserSimilarity\nfrom ..classes import ItemBasedRecommender, UserBasedRecommender\nfrom ....models.utils import ItemNotFoundError, UserNotFoundError\nfrom ....metrics.pairwise import euclidean_distances, jaccard_coefficient, pearson_correlation\n\n\nmovies = {'Marcel Caraciolo': {'Lady in the Water': 2.5, 'Snakes on a Plane': 3.5,\n 'Just My Luck': 3.0, 'Superman Returns': 3.5, 'You, Me and Dupree': 2.5,\n 'The Night Listener': 3.0},\n'Luciana Nunes': {'Lady in the Water': 3.0, 'Snakes on a Plane': 3.5,\n 'Just My Luck': 1.5, 'Superman Returns': 5.0, 'The Night Listener': 3.0,\n 'You, Me and Dupree': 3.5},\n'Leopoldo Pires': {'Lady in the Water': 2.5, 'Snakes on a Plane': 3.0,\n 'Superman Returns': 3.5, 'The Night Listener': 4.0},\n'Lorena Abreu': {'Snakes on a Plane': 3.5, 'Just My Luck': 3.0,\n 'The Night Listener': 4.5, 'Superman Returns': 4.0,\n 'You, Me and Dupree': 2.5},\n'Steve Gates': {'Lady in the Water': 3.0, 'Snakes on a Plane': 4.0,\n 'Just My Luck': 2.0, 'Superman Returns': 3.0, 'The Night Listener': 3.0,\n 'You, Me and Dupree': 2.0},\n'Sheldom': {'Lady in the Water': 3.0, 'Snakes on a Plane': 4.0,\n 'The Night Listener': 3.0, 'Superman Returns': 5.0, 'You, Me and Dupree': 3.5},\n'Penny Frewman': {'Snakes on a Plane': 4.5, 'You, Me and Dupree': 1.0, 'Superman Returns': 4.0},\n'Maria Gabriela': {}}\n\nmatrix_model = MatrixPreferenceDataModel(movies)\nboolean_matrix_model = MatrixBooleanPrefDataModel(movies)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def test_create_ItemBasedRecommender():\n items_strategy = AllPossibleItemsStrategy()\n similarity = ItemSimilarity(matrix_model, euclidean_distances)\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_equals(recsys.similarity, similarity)\n assert_equals(recsys.items_selection_strategy, items_strategy)\n assert_equals(recsys.model, matrix_model)\n assert_equals(recsys.capper, True)", "metadata": "root.test_create_ItemBasedRecommender", "header": "['module', '___EOS___']", "index": 36 }, { "content": "def test_create_UserBasedRecommender():\n nhood_strategy = AllNeighborsStrategy()\n similarity = UserSimilarity(matrix_model, euclidean_distances)\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_equals(recsys.similarity, similarity)\n assert_equals(recsys.neighborhood_strategy, nhood_strategy)\n assert_equals(recsys.model, matrix_model)\n assert_equals(recsys.capper, True)", "metadata": "root.test_create_UserBasedRecommender", "header": "['module', '___EOS___']", "index": 46 }, { "content": "def test_all_other_items_ItemBasedRecommender():\n items_strategy = AllPossibleItemsStrategy()\n similarity = ItemSimilarity(matrix_model, euclidean_distances)\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n\n assert_array_equal(np.array(['Lady in the Water']), recsys.all_other_items('Lorena Abreu'))\n assert_array_equal(np.array([], dtype='|S'), recsys.all_other_items('Marcel Caraciolo'))\n assert_array_equal(np.array(['Just My Luck', 'Lady in the Water', 'Snakes on a Plane',\n 'Superman Returns', 'The Night Listener', 'You, Me and Dupree']), recsys.all_other_items('Maria Gabriela'))\n\n similarity = ItemSimilarity(boolean_matrix_model, jaccard_coefficient)\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n\n assert_array_equal(np.array(['Lady in the Water']), recsys.all_other_items('Lorena Abreu'))\n assert_array_equal(np.array([], dtype='|S'), recsys.all_other_items('Marcel Caraciolo'))\n assert_array_equal(np.array(['Just My Luck', 'Lady in the Water', 'Snakes on a Plane',\n 'Superman Returns', 'The Night Listener', 'You, Me and Dupree']), recsys.all_other_items('Maria Gabriela'))", "metadata": "root.test_all_other_items_ItemBasedRecommender", "header": "['module', '___EOS___']", "index": 56 }, { "content": "def test_all_other_items_UserBasedRecommender():\n nhood_strategy = AllNeighborsStrategy()\n similarity = UserSimilarity(boolean_matrix_model, jaccard_coefficient)\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n\n assert_array_equal(np.array(['Lady in the Water']), recsys.all_other_items('Lorena Abreu'))\n assert_array_equal(np.array([], dtype='|S'), recsys.all_other_items('Marcel Caraciolo'))\n assert_array_equal(np.array(['Just My Luck', 'Lady in the Water', 'Snakes on a Plane',\n 'Superman Returns', 'The Night Listener', 'You, Me and Dupree']), recsys.all_other_items('Maria Gabriela'))\n\n similarity = UserSimilarity(boolean_matrix_model, jaccard_coefficient)\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['Lady in the Water']),\n recsys.all_other_items(user_id='Lorena Abreu', distance=pearson_correlation, nhood_size=2, minimal_similarity=0.1))\n assert_array_equal(np.array([], dtype='|S'),\n recsys.all_other_items(user_id='Marcel Caraciolo', distance=pearson_correlation, nhood_size=2, minimal_similarity=0.1))\n assert_array_equal(np.array(['Just My Luck', 'Lady in the Water', 'Snakes on a Plane',\n 'Superman Returns', 'The Night Listener', 'You, Me and Dupree']),\n recsys.all_other_items(user_id='Maria Gabriela', distance=pearson_correlation, nhood_size=2, minimal_similarity=0.1))\n\n similarity = UserSimilarity(matrix_model, euclidean_distances)\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n\n assert_array_equal(np.array(['Lady in the Water']), recsys.all_other_items('Lorena Abreu'))\n assert_array_equal(np.array([], dtype='|S'), recsys.all_other_items('Marcel Caraciolo'))\n assert_array_equal(np.array(['Just My Luck', 'Lady in the Water', 'Snakes on a Plane',\n 'Superman Returns', 'The Night Listener', 'You, Me and Dupree']), recsys.all_other_items('Maria Gabriela'))\n\n nhood_strategy = NearestNeighborsStrategy()\n similarity = UserSimilarity(matrix_model, pearson_correlation)\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n\n assert_array_equal(np.array(['Lady in the Water']),\n recsys.all_other_items(user_id='Lorena Abreu', distance=pearson_correlation, nhood_size=2, minimal_similarity=0.1))\n assert_array_equal(np.array([], dtype='|S'),\n recsys.all_other_items(user_id='Marcel Caraciolo', distance=pearson_correlation, nhood_size=3))\n assert_array_equal(np.array([]),\n recsys.all_other_items(user_id='Maria Gabriela', distance=euclidean_distances, nhood_size=2))", "metadata": "root.test_all_other_items_UserBasedRecommender", "header": "['module', '___EOS___']", "index": 75 }, { "content": "def test_estimate_preference_ItemBasedRecommender():\n items_strategy = ItemsNeighborhoodStrategy()\n similarity = ItemSimilarity(matrix_model, euclidean_distances)\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_almost_equals(3.5, recsys.estimate_preference('Marcel Caraciolo', 'Superman Returns'))\n assert_almost_equals(3.14717875510, recsys.estimate_preference('Leopoldo Pires', 'You, Me and Dupree'))\n #With capper = False\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy, False)\n assert_almost_equals(3.14717875510, recsys.estimate_preference('Leopoldo Pires', 'You, Me and Dupree'))\n #Non-Preferences\n assert_array_equal(np.nan, recsys.estimate_preference('Maria Gabriela', 'You, Me and Dupree'))\n\n items_strategy = ItemsNeighborhoodStrategy()\n similarity = ItemSimilarity(boolean_matrix_model, jaccard_coefficient)\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n assert_almost_equals(1.0, recsys.estimate_preference('Marcel Caraciolo', 'Superman Returns'))\n assert_almost_equals(1.0, recsys.estimate_preference('Leopoldo Pires', 'You, Me and Dupree'))\n #With capper = False\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy, False)\n assert_almost_equals(1.0, recsys.estimate_preference('Leopoldo Pires', 'You, Me and Dupree'))\n #Non-Preferences\n assert_array_equal(np.NaN, recsys.estimate_preference('Maria Gabriela', 'You, Me and Dupree'))", "metadata": "root.test_estimate_preference_ItemBasedRecommender", "header": "['module', '___EOS___']", "index": 115 }, { "content": "def test_estimate_preference_UserBasedRecommender():\n nhood_strategy = NearestNeighborsStrategy()\n similarity = UserSimilarity(matrix_model, euclidean_distances)\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_almost_equals(3.5, recsys.estimate_preference('Marcel Caraciolo', 'Superman Returns'))\n assert_almost_equals(2.4533792305691886, recsys.estimate_preference('Leopoldo Pires', 'You, Me and Dupree'))\n\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_almost_equals(3.5, recsys.estimate_preference('Marcel Caraciolo', 'Superman Returns'))\n assert_almost_equals(2.8960083169728952,\n recsys.estimate_preference(user_id='Leopoldo Pires', item_id='You, Me and Dupree',\n distance=pearson_correlation, nhood_size=4, minimal_similarity=-1.0))\n\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_almost_equals(2.0653946891716108,\n recsys.estimate_preference(user_id='Leopoldo Pires', item_id='You, Me and Dupree',\n nhood_size=4))\n\n #With capper = False\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy, False)\n assert_almost_equals(2.0653946891716108, recsys.estimate_preference('Leopoldo Pires', 'You, Me and Dupree'))\n assert_almost_equals(2.8960083169728952,\n recsys.estimate_preference(user_id='Leopoldo Pires', item_id='You, Me and Dupree',\n distance=pearson_correlation, nhood_size=4, minimal_similarity=-1.0))\n\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy, False)\n assert_almost_equals(2.0653946891716108,\n recsys.estimate_preference(user_id='Leopoldo Pires', item_id='You, Me and Dupree',\n nhood_size=4))\n\n #Non-Preferences\n assert_array_equal(np.nan, recsys.estimate_preference('Maria Gabriela', 'You, Me and Dupree'))\n\n nhood_strategy = NearestNeighborsStrategy()\n similarity = UserSimilarity(boolean_matrix_model, jaccard_coefficient)\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_almost_equals(1.0, recsys.estimate_preference('Marcel Caraciolo', 'Superman Returns'))\n assert_almost_equals(1.0, recsys.estimate_preference('Leopoldo Pires', 'You, Me and Dupree'))\n assert_almost_equals(1.0,\n recsys.estimate_preference(user_id='Leopoldo Pires', item_id='You, Me and Dupree',\n distance=jaccard_coefficient, nhood_size=3))\n\n #With capper = False\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy, False)\n assert_almost_equals(1.0, recsys.estimate_preference('Leopoldo Pires', 'You, Me and Dupree'))\n #Non-Preferences\n assert_array_equal(np.NaN, recsys.estimate_preference('Maria Gabriela', 'You, Me and Dupree'))", "metadata": "root.test_estimate_preference_UserBasedRecommender", "header": "['module', '___EOS___']", "index": 139 }, { "content": "def test_most_similar_items_ItemBasedRecommender():\n items_strategy = ItemsNeighborhoodStrategy()\n similarity = ItemSimilarity(matrix_model, euclidean_distances)\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n #semi items\n assert_array_equal(np.array(['Snakes on a Plane', \\\n 'The Night Listener', 'Lady in the Water', 'Just My Luck']), \\\n recsys.most_similar_items('Superman Returns', 4))\n #all items\n assert_array_equal(np.array(['Lady in the Water', 'You, Me and Dupree', \\\n 'The Night Listener', 'Snakes on a Plane', 'Superman Returns']), \\\n recsys.most_similar_items('Just My Luck'))\n #Non-existing\n assert_raises(ItemNotFoundError, recsys.most_similar_items, 'Back to the Future')\n #Exceed the limit\n assert_array_equal(np.array(['Lady in the Water', 'You, Me and Dupree', 'The Night Listener', \\\n 'Snakes on a Plane', 'Superman Returns']), \\\n recsys.most_similar_items('Just My Luck', 20))\n #Empty\n assert_array_equal(np.array([]), \\\n recsys.most_similar_items('Just My Luck', 0))\n\n items_strategy = ItemsNeighborhoodStrategy()\n similarity = ItemSimilarity(boolean_matrix_model, jaccard_coefficient)\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n #semi items\n assert_array_equal(np.array(['Snakes on a Plane', 'The Night Listener', \\\n 'You, Me and Dupree', 'Lady in the Water']), \\\n recsys.most_similar_items('Superman Returns', 4))\n #all items\n assert_array_equal(np.array(['The Night Listener', 'You, Me and Dupree', \\\n 'Snakes on a Plane', 'Superman Returns', 'Lady in the Water']), \\\n recsys.most_similar_items('Just My Luck'))\n #Non-existing\n assert_raises(ItemNotFoundError, recsys.most_similar_items, 'Back to the Future')\n #Exceed the limit\n assert_array_equal(np.array(['The Night Listener', 'You, Me and Dupree', 'Snakes on a Plane',\n 'Superman Returns', 'Lady in the Water']), \\\n recsys.most_similar_items('Just My Luck', 20))\n #Empty\n assert_array_equal(np.array([]), \\\n recsys.most_similar_items('Just My Luck', 0))", "metadata": "root.test_most_similar_items_ItemBasedRecommender", "header": "['module', '___EOS___']", "index": 188 }, { "content": "def test_most_similar_users_UserBasedRecommender():\n nhood_strategy = NearestNeighborsStrategy()\n similarity = UserSimilarity(matrix_model, euclidean_distances)\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n #semi items\n assert_array_equal(np.array(['Leopoldo Pires', 'Steve Gates', 'Lorena Abreu',\n 'Penny Frewman']), \\\n recsys.most_similar_users('Marcel Caraciolo', 4))\n #all items\n assert_array_equal(np.array(['Lorena Abreu', 'Marcel Caraciolo', 'Penny Frewman', \\\n 'Steve Gates', 'Luciana Nunes', 'Sheldom']), \\\n recsys.most_similar_users('Leopoldo Pires'))\n #Non-existing\n assert_array_equal(np.array([]), \\\n recsys.most_similar_users('Maria Gabriela'))\n #Exceed the limit\n assert_array_equal(np.array(['Lorena Abreu', 'Marcel Caraciolo', 'Penny Frewman', \\\n 'Steve Gates', 'Luciana Nunes', 'Sheldom']), \\\n recsys.most_similar_users('Leopoldo Pires', 20))\n #Empty\n assert_array_equal(np.array([]), \\\n recsys.most_similar_users('Sheldom', 0))\n\n nhood_strategy = NearestNeighborsStrategy()\n similarity = UserSimilarity(boolean_matrix_model, jaccard_coefficient)\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n #semi items\n assert_array_equal(np.array(['Luciana Nunes', 'Steve Gates', \\\n 'Lorena Abreu', 'Sheldom']), \\\n recsys.most_similar_users('Marcel Caraciolo', 4))\n #all items\n assert_array_equal(np.array(['Sheldom', 'Luciana Nunes', 'Marcel Caraciolo',\n 'Steve Gates', 'Lorena Abreu', 'Penny Frewman']), \\\n recsys.most_similar_users('Leopoldo Pires'))\n #Non-existing\n assert_array_equal(np.array([]), \\\n recsys.most_similar_users('Maria Gabriela'))\n #Exceed the limit\n assert_array_equal(np.array(['Sheldom', 'Luciana Nunes', 'Marcel Caraciolo',\n 'Steve Gates', 'Lorena Abreu', 'Penny Frewman']), \\\n recsys.most_similar_users('Leopoldo Pires', 20))\n #Empty\n assert_array_equal(np.array([]), \\\n recsys.most_similar_users('Sheldom', 0))", "metadata": "root.test_most_similar_users_UserBasedRecommender", "header": "['module', '___EOS___']", "index": 232 }, { "content": "def test_recommend_ItemBasedRecommender():\n items_strategy = ItemsNeighborhoodStrategy()\n similarity = ItemSimilarity(matrix_model, euclidean_distances)\n #Empty Recommendation\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_array_equal(np.array([]), recsys.recommend('Marcel Caraciolo'))\n\n #Semi Recommendation\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['Just My Luck', 'You, Me and Dupree']), \\\n recsys.recommend('Leopoldo Pires'))\n\n #Semi Recommendation\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['Just My Luck']), \\\n recsys.recommend('Leopoldo Pires', 1))\n\n #Empty Recommendation\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_array_equal(np.array([]), recsys.recommend('Maria Gabriela'))\n\n #Test with params update\n recsys.recommend(user_id='Maria Gabriela', similarity=similarity)\n assert_array_equal(np.array([]), recsys.recommend('Maria Gabriela'))\n\n #with_preference\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy, True, True)\n assert_equals('Just My Luck', recsys.recommend('Leopoldo Pires')[0][0])\n assert_equals('You, Me and Dupree', recsys.recommend('Leopoldo Pires')[1][0])\n\n assert_almost_equals(3.20597, recsys.recommend('Leopoldo Pires')[0][1], 2)\n assert_almost_equals(3.147178755, recsys.recommend('Leopoldo Pires')[1][1], 2)\n\n similarity = ItemSimilarity(boolean_matrix_model, jaccard_coefficient)\n #Empty Recommendation\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n assert_array_equal(np.array([]), recsys.recommend('Marcel Caraciolo'))\n\n #Semi Recommendation\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['You, Me and Dupree', 'Just My Luck']), \\\n recsys.recommend('Leopoldo Pires'))\n\n #Semi Recommendation\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['You, Me and Dupree']), \\\n recsys.recommend('Leopoldo Pires', 1))\n\n #Empty Recommendation\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n assert_array_equal(np.array([]), recsys.recommend('Maria Gabriela'))\n\n #Test with params update\n recsys.recommend(user_id='Maria Gabriela', similarity=similarity)\n assert_array_equal(np.array([]), recsys.recommend('Maria Gabriela'))\n\n #with_preference\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy, True, True)\n assert_equals('You, Me and Dupree', recsys.recommend('Leopoldo Pires')[0][0])\n assert_equals('Just My Luck', recsys.recommend('Leopoldo Pires')[1][0])\n\n assert_almost_equals(1.0, recsys.recommend('Leopoldo Pires')[0][1], 2)\n assert_almost_equals(1.0, recsys.recommend('Leopoldo Pires')[1][1], 2)", "metadata": "root.test_recommend_ItemBasedRecommender", "header": "['module', '___EOS___']", "index": 278 }, { "content": "def test_recommend_UserBasedRecommender():\n nhood_strategy = NearestNeighborsStrategy()\n similarity = UserSimilarity(matrix_model, euclidean_distances)\n #Empty Recommendation\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array([]), recsys.recommend('Marcel Caraciolo'))\n\n #Semi Recommendation\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['Just My Luck', 'You, Me and Dupree']), \\\n recsys.recommend('Leopoldo Pires'))\n\n #Semi Recommendation\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['Just My Luck']), \\\n recsys.recommend('Leopoldo Pires', 1))\n\n #Empty Recommendation\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array([]), recsys.recommend('Maria Gabriela'))\n\n #Test with params update\n recsys.recommend(user_id='Maria Gabriela', similarity=similarity)\n assert_array_equal(np.array([]), recsys.recommend('Maria Gabriela'))\n\n #with_preference\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy, True, True)\n assert_equals('Just My Luck', recsys.recommend('Leopoldo Pires')[0][0])\n assert_equals('You, Me and Dupree', recsys.recommend('Leopoldo Pires')[1][0])\n\n assert_almost_equals(2.456743361464, recsys.recommend('Leopoldo Pires')[0][1], 2)\n assert_almost_equals(2.453379, recsys.recommend('Leopoldo Pires')[1][1], 2)\n\n similarity = UserSimilarity(boolean_matrix_model, jaccard_coefficient)\n #Empty Recommendation\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array([]), recsys.recommend('Marcel Caraciolo'))\n\n #Semi Recommendation\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['You, Me and Dupree', 'Just My Luck']), \\\n recsys.recommend('Leopoldo Pires'))\n\n #Semi Recommendation\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['You, Me and Dupree']), \\\n recsys.recommend('Leopoldo Pires', 1))\n\n #Empty Recommendation\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array([]), recsys.recommend('Maria Gabriela'))\n\n #Test with params update\n recsys.recommend(user_id='Maria Gabriela', similarity=similarity)\n assert_array_equal(np.array([]), recsys.recommend('Maria Gabriela'))\n\n #with_preference\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy, True, True)\n assert_equals('You, Me and Dupree', recsys.recommend('Leopoldo Pires')[0][0])\n assert_equals('Just My Luck', recsys.recommend('Leopoldo Pires')[1][0])\n\n assert_almost_equals(1.0, recsys.recommend('Leopoldo Pires')[0][1], 2)\n assert_almost_equals(1.0, recsys.recommend('Leopoldo Pires')[1][1], 2)", "metadata": "root.test_recommend_UserBasedRecommender", "header": "['module', '___EOS___']", "index": 343 }, { "content": "def test_recommend_because_ItemBasedRecommender():\n items_strategy = ItemsNeighborhoodStrategy()\n similarity = ItemSimilarity(matrix_model, euclidean_distances)\n #Full Recommendation Because\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['The Night Listener', 'Superman Returns', \\\n 'Snakes on a Plane', 'Lady in the Water']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck'))\n #over-items\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['The Night Listener', 'Superman Returns', \\\n 'Snakes on a Plane', 'Lady in the Water']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 20))\n #Semi\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['The Night Listener', 'Superman Returns']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 2))\n\n #Non-Existing\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy)\n assert_array_equal(np.array([]), \\\n recsys.recommended_because('Maria Gabriela', 'Just My Luck', 2))\n\n #with_preference\n recsys = ItemBasedRecommender(matrix_model, similarity, items_strategy, True, True)\n assert_array_equal(np.array([('The Night Listener', 4.0), \\\n ('Superman Returns', 3.5)]), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 2))\n\n #boolean_matrix_model\n similarity = ItemSimilarity(boolean_matrix_model, jaccard_coefficient)\n #Full Recommendation Because\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['The Night Listener', 'Superman Returns', \\\n 'Snakes on a Plane', 'Lady in the Water']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck'))\n #over-items\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['The Night Listener', 'Superman Returns', \\\n 'Snakes on a Plane', 'Lady in the Water']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 20))\n #Semi\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n assert_array_equal(np.array(['The Night Listener', 'Superman Returns']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 2))\n\n #Non-Existing\n recsys = ItemBasedRecommender(boolean_matrix_model, similarity, items_strategy)\n assert_array_equal(np.array([]), \\\n recsys.recommended_because('Maria Gabriela', 'Just My Luck', 2))", "metadata": "root.test_recommend_because_ItemBasedRecommender", "header": "['module', '___EOS___']", "index": 408 }, { "content": "def test_recommend_because_UserBasedRecommender():\n nhood_strategy = NearestNeighborsStrategy()\n similarity = UserSimilarity(matrix_model, euclidean_distances)\n #Full Recommendation Because\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['Lorena Abreu', 'Marcel Caraciolo', \\\n 'Steve Gates', 'Luciana Nunes']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck'))\n #over-items\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['Lorena Abreu', 'Marcel Caraciolo', \\\n 'Steve Gates', 'Luciana Nunes']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 20))\n #Semi\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['Lorena Abreu', 'Marcel Caraciolo']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 2))\n\n #Non-Existing\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array([]), \\\n recsys.recommended_because('Maria Gabriela', 'Just My Luck', 2))\n\n #with_preference\n recsys = UserBasedRecommender(matrix_model, similarity, nhood_strategy, True, True)\n assert_array_equal(np.array([('Lorena Abreu', 3.0), \\\n ('Marcel Caraciolo', 3.0)]), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 2))\n\n #boolean_matrix_model\n similarity = UserSimilarity(boolean_matrix_model, jaccard_coefficient)\n #Full Recommendation Because\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['Steve Gates', 'Marcel Caraciolo', 'Luciana Nunes', \\\n 'Lorena Abreu']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck'))\n #over-items\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['Steve Gates', 'Marcel Caraciolo', 'Luciana Nunes', \\\n 'Lorena Abreu']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 20))\n #Semi\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array(['Steve Gates', 'Marcel Caraciolo']), \\\n recsys.recommended_because('Leopoldo Pires', 'Just My Luck', 2))\n\n #Non-Existing\n recsys = UserBasedRecommender(boolean_matrix_model, similarity, nhood_strategy)\n assert_array_equal(np.array([]), \\\n recsys.recommended_because('Maria Gabriela', 'Just My Luck', 2))", "metadata": "root.test_recommend_because_UserBasedRecommender", "header": "['module', '___EOS___']", "index": 461 } ]

[]

[]

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[ { "content": " @mock.patch('os.path.exists')\n def _test_check_for_config_drive(self, mock_exists, exists=True,\n label=\"config-2\", fail=False):\n drive = \"C:\\\\\"\n self.osutils.get_volume_label.return_value = label\n mock_exists.return_value = exists\n\n with self.snatcher:\n response = self._config_manager._check_for_config_drive(drive)\n\n self.osutils.get_volume_label.assert_called_once_with(drive)\n if exists and not fail:\n self.assertEqual([\"Config Drive found on C:\\\\\"],\n self.snatcher.output)\n self.assertEqual(not fail, response)", "metadata": "root.TestWindowsConfigDriveManager._test_check_for_config_drive", "header": "['class', 'TestWindowsConfigDriveManager', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 64 } ]

[]

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[ { "content": " def deform(self,**kwargs):\n \"\"\" deforms the geometry applying the new locations for the control points, given by body name\"\"\"\n for name,delta_C in kwargs.iteritems():\n i = self._i_comps[name]\n comp = self._comps[i]\n if isinstance(comp,Body):\n comp.deform(delta_C)\n else:\n comp.deform(*delta_C)\n self.list_parameters()", "metadata": "root.STLGroup.deform", "header": "['class', 'STLGroup', '(', 'Component', ')', ':', '___EOS___']", "index": 144 } ]

[]

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[ { "content": "import os\nimport subprocess\nimport sys\nimport unittest\nfrom test import test_support\n\n\n\nif __name__ == \"__main__\":\n test_main()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TestUsingInitializer(unittest.TestCase):\n", "metadata": "root.TestUsingInitializer", "header": "['module', '___EOS___']", "index": 6 }, { "content": " def test_syspath_initializer(self):\n fn = test_support.findfile('check_for_initializer_in_syspath.py')\n env = dict(CLASSPATH='tests/data/initializer',\n PATH=os.environ.get('PATH', ''))\n self.assertEquals(0, subprocess.call([sys.executable, fn], env=env))", "metadata": "root.TestUsingInitializer.test_syspath_initializer", "header": "['class', 'TestUsingInitializer', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 8 }, { "content": "def test_main():\n test_support.run_unittest(TestUsingInitializer)", "metadata": "root.test_main", "header": "['module', '___EOS___']", "index": 14 } ]

[]

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[ { "content": "#!/usr/bin/env python\n# coding=utf-8\nfrom __future__ import division, print_function, unicode_literals\n\"\"\"Global Docstring\"\"\"\n\nfrom mock import patch\nimport pytest\nimport sys\n\nfrom sacred.experiment import Experiment\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "@pytest.fixture\ndef ex():\n return Experiment('ator3000')", "metadata": "root.ex", "header": "['module', '___EOS___']", "index": 12 }, { "content": "def test_main(ex):\n @ex.main\n def foo():\n pass\n\n assert 'foo' in ex.commands\n assert ex.commands['foo'] == foo\n assert ex.default_command == 'foo'", "metadata": "root.test_main", "header": "['module', '___EOS___']", "index": 17 }, { "content": "def test_automain_imported(ex):\n main_called = [False]\n\n with patch.object(sys, 'argv', ['test.py']):\n\n @ex.automain\n def foo():\n main_called[0] = True\n\n assert 'foo' in ex.commands\n assert ex.commands['foo'] == foo\n assert ex.default_command == 'foo'\n assert main_called[0] is False", "metadata": "root.test_automain_imported", "header": "['module', '___EOS___']", "index": 27 }, { "content": "def test_automain_script_runs_main(ex):\n global __name__\n oldname = __name__\n main_called = [False]\n\n try:\n __name__ = '__main__'\n with patch.object(sys, 'argv', ['test.py']):\n @ex.automain\n def foo():\n main_called[0] = True\n\n assert 'foo' in ex.commands\n assert ex.commands['foo'] == foo\n assert ex.default_command == 'foo'\n assert main_called[0] is True\n finally:\n __name__ = oldname", "metadata": "root.test_automain_script_runs_main", "header": "['module', '___EOS___']", "index": 42 }, { "content": "def test_fails_on_unused_config_updates(ex):\n @ex.config\n def cfg():\n a = 1\n c = 3\n\n @ex.main\n def foo(a, b=2):\n return a + b\n\n # normal config updates work\n assert ex.run(config_updates={'a': 3}).result == 5\n # not in config but used works\n assert ex.run(config_updates={'b': 8}).result == 9\n # unused but in config updates work\n assert ex.run(config_updates={'c': 9}).result == 3\n\n # unused config updates raise\n with pytest.raises(KeyError):\n ex.run(config_updates={'d': 3})", "metadata": "root.test_fails_on_unused_config_updates", "header": "['module', '___EOS___']", "index": 62 }, { "content": "def test_fails_on_nested_unused_config_updates(ex):\n @ex.config\n def cfg():\n a = {'b': 1}\n d = {'e': 3}\n\n @ex.main\n def foo(a):\n return a['b']\n\n # normal config updates work\n assert ex.run(config_updates={'a': {'b': 2}}).result == 2\n # not in config but parent is works\n assert ex.run(config_updates={'a': {'c': 5}}).result == 1\n # unused but in config works\n assert ex.run(config_updates={'d': {'e': 7}}).result == 1\n\n # unused nested config updates raise\n with pytest.raises(KeyError):\n ex.run(config_updates={'d': {'f': 3}})", "metadata": "root.test_fails_on_nested_unused_config_updates", "header": "['module', '___EOS___']", "index": 84 }, { "content": "def test_considers_captured_functions_for_fail_on_unused_config(ex):\n @ex.config\n def cfg():\n a = 1\n\n @ex.capture\n def transmogrify(a, b=0):\n return a + b\n\n @ex.main\n def foo():\n return transmogrify()\n\n assert ex.run(config_updates={'a': 7}).result == 7\n assert ex.run(config_updates={'b': 3}).result == 4\n\n with pytest.raises(KeyError):\n ex.run(config_updates={'c': 3})", "metadata": "root.test_considers_captured_functions_for_fail_on_unused_config", "header": "['module', '___EOS___']", "index": 106 }, { "content": "def test_used_prefix_for_fail_on_unused_config(ex):\n @ex.config\n def cfg():\n a = {'b': 1}\n\n @ex.capture(prefix='a')\n def transmogrify(b):\n return b\n\n @ex.main\n def foo():\n return transmogrify()\n\n assert ex.run(config_updates={'a': {'b': 3}}).result == 3\n\n with pytest.raises(KeyError):\n ex.run(config_updates={'b': 5})\n\n with pytest.raises(KeyError):\n ex.run(config_updates={'a': {'c': 5}})", "metadata": "root.test_used_prefix_for_fail_on_unused_config", "header": "['module', '___EOS___']", "index": 126 }, { "content": "def test_using_a_named_config(ex):\n @ex.config\n def cfg():\n a = 1\n\n @ex.named_config\n def ncfg():\n a = 10\n\n @ex.main\n def run(a):\n return a\n\n assert ex.run().result == 1\n assert ex.run(named_configs=['ncfg']).result == 10", "metadata": "root.test_using_a_named_config", "header": "['module', '___EOS___']", "index": 148 } ]

[]

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[ { "content": "from django.test import TestCase\nfrom django.test.utils import override_settings\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "@override_settings(ADMINS=(('admin', 'admin@example.com'),),\n EMAIL_SUBJECT_PREFIX=\"\")\nclass TestApplyReporter(TestCase):\n\n\n", "metadata": "root.TestApplyReporter", "header": "['module', '___EOS___']", "index": 4 }, { "content": " def _makeOne(self, *args, **kwargs):\n from reportmail.command import apply_reporter\n return apply_reporter(*args, **kwargs)", "metadata": "root.TestApplyReporter._makeOne", "header": "['class', 'TestApplyReporter', '(', 'TestCase', ')', ':', '___EOS___']", "index": 7 }, { "content": " def test__it(self):\n class DummySelf(object):\n __module__ = '__module__'\n wrapper = self._makeOne(\"Title\")\n\n def wrapped(self, reporter, *args, **options):\n reporter.append(\"Stored\")\n return reporter, args, options\n\n r, a, o = wrapper(wrapped)(DummySelf(), 'arg', test='option')\n self.assertEqual(r.subject, \"Title\")\n self.assertEqual(r.template, 'reportmail/command_report.txt')\n self.assertEqual(r.base_context, {'args': a, 'options': o,\n 'command': '__module__'})\n self.assertEqual(r.stored_text, [\"Stored\"])\n self.assertEqual(a, ('arg',))\n self.assertEqual(o, {'test': 'option'})\n\n from django.core import mail\n self.assertEqual(len(mail.outbox), 1)\n self.assertEqual(mail.outbox[0].subject, 'Title')\n self.assertEqual(mail.outbox[0].body, \"\"\"\\\nReport of __module__\nargs: arg,\noptions: test=option,\n\nresult:\nStored\n\"\"\")", "metadata": "root.TestApplyReporter.test__it", "header": "['class', 'TestApplyReporter', '(', 'TestCase', ')', ':', '___EOS___']", "index": 11 }, { "content": " def test__additional_context(self):\n class DummySelf(object):\n __module__ = '__module__'\n wrapper = self._makeOne(\"Title\", additional_context={'more': 'data'})\n\n def wrapped(self, reporter, *args, **options):\n reporter.append(\"Stored\")\n return reporter, args, options\n\n r, a, o = wrapper(wrapped)(DummySelf(), 'arg', test='option')\n self.assertEqual(r.subject, \"Title\")\n self.assertEqual(r.template, 'reportmail/command_report.txt')\n self.assertEqual(r.base_context, {'args': a, 'options': o,\n 'command': '__module__',\n 'more': 'data'})\n self.assertEqual(r.stored_text, [\"Stored\"])\n self.assertEqual(a, ('arg',))\n self.assertEqual(o, {'test': 'option'})\n\n from django.core import mail\n self.assertEqual(len(mail.outbox), 1)\n self.assertEqual(mail.outbox[0].subject, 'Title')\n # Template doesn't use the 'more' key, so can't test the rendered output\n self.assertEqual(mail.outbox[0].body, \"\"\"\\\nReport of __module__\nargs: arg,\noptions: test=option,\n\nresult:\nStored\n\"\"\")", "metadata": "root.TestApplyReporter.test__additional_context", "header": "['class', 'TestApplyReporter', '(', 'TestCase', ')', ':', '___EOS___']", "index": 41 }, { "content": " def test__unexpected_error_occurred(self):\n class DummySelf(object):\n __module__ = '__module__'\n\n wrapper = self._makeOne(\"Title\")\n\n def wrapped(self, reporter, *args, **options):\n reporter.append(\"Stored\")\n raise Exception(\"KADOOOOM!!!!!\")\n\n with self.assertRaises(Exception):\n wrapper(wrapped)(DummySelf(), 'arg', test='option')\n\n from django.core import mail\n self.assertEqual(len(mail.outbox), 1)\n self.assertEqual(mail.outbox[0].subject, 'Title')\n self.assertEqual(mail.outbox[0].body[:120], \"\"\"\\\nReport of __module__\nargs: arg,\noptions: test=option,\n\nresult:\nStored\nKADOOOOM!!!!!\n\nTraceback (most recent call last):\n\"\"\")", "metadata": "root.TestApplyReporter.test__unexpected_error_occurred", "header": "['class', 'TestApplyReporter', '(', 'TestCase', ')', ':', '___EOS___']", "index": 73 } ]

[]

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[ { "content": " def judge(self):\n self.submission.judge_start_time = int(time.time() * 1000)\n\n judge_server = self.choose_judge_server()\n\n # 如果没有合适的判题服务器，就放入等待队列中等待判题\n if not judge_server:\n JudgeWaitingQueue.objects.create(submission_id=self.submission.id, time_limit=self.time_limit,\n memory_limit=self.memory_limit, test_case_id=self.test_case_id,\n spj=self.spj, spj_language=self.spj_language, spj_code=self.spj_code,\n spj_version=self.spj_version)\n return\n\n try:\n s = TimeoutServerProxy(\"http://\" + judge_server.ip + \":\" + str(judge_server.port),\n timeout=30)\n\n data = s.run(judge_server.token, self.submission.id, self.submission.language,\n self.submission.code, self.time_limit, self.memory_limit, self.test_case_id,\n self.spj, self._none_to_false(self.spj_language),\n self._none_to_false(self.spj_code), self._none_to_false(self.spj_version))\n # 编译错误\n if data[\"code\"] == 1:\n self.submission.result = result[\"compile_error\"]\n self.submission.info = data[\"data\"][\"error\"]\n # system error\n elif data[\"code\"] == 2:\n self.submission.result = result[\"system_error\"]\n self.submission.info = data[\"data\"][\"error\"]\n elif data[\"code\"] == 0:\n self.submission.result = data[\"data\"][\"result\"]\n self.submission.info = json.dumps(data[\"data\"][\"info\"])\n self.submission.accepted_answer_time = data[\"data\"][\"accepted_answer_time\"]\n except Exception as e:\n self.submission.result = result[\"system_error\"]\n self.submission.info = str(e)\n finally:\n self.release_judge_instance(judge_server.id)\n\n self.submission.judge_end_time = int(time.time() * 1000)\n self.submission.save(update_fields=[\"judge_start_time\", \"result\", \"info\", \"accepted_answer_time\", \"judge_end_time\"])\n\n if self.submission.contest_id:\n self.update_contest_problem_status()\n else:\n self.update_problem_status()\n\n with transaction.atomic():\n waiting_submissions = JudgeWaitingQueue.objects.select_for_update().all()\n if waiting_submissions.exists():\n # 防止循环依赖\n from submission.tasks import _judge\n\n waiting_submission = waiting_submissions.first()\n waiting_submission.delete()\n _judge.delay(submission_id=waiting_submission.submission_id,\n time_limit=waiting_submission.time_limit,\n memory_limit=waiting_submission.memory_limit,\n test_case_id=waiting_submission.test_case_id,\n spj=waiting_submission.spj,\n spj_language=waiting_submission.spj_language,\n spj_code=waiting_submission.spj_code,\n spj_version=waiting_submission.spj_version)", "metadata": "root.JudgeDispatcher.judge", "header": "['class', 'JudgeDispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 57 } ]

[]

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[ { "content": "class KayleeProjectAssertError(KayleeError):\n \"\"\"Base class for all Kaylee project-related runtime assertion\n (regular, **not** Python ``asert`` checks) errors.\"\"\"\n pass", "metadata": "root.KayleeProjectAssertError", "header": "['module', '___EOS___']", "index": 18 } ]

[]

[]

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[ { "content": "def parse_args(source, options):\n tokens = TokenStream(source, DocoptExit)\n options = copy(options)\n parsed = []\n while tokens.current() is not None:\n if tokens.current() == '--':\n return parsed + [Argument(None, v) for v in tokens]\n elif tokens.current().startswith('--'):\n parsed += parse_long(tokens, options)\n elif tokens.current().startswith('-') and tokens.current() != '-':\n parsed += parse_shorts(tokens, options)\n else:\n parsed.append(Argument(None, tokens.move()))\n return parsed", "metadata": "root.parse_args", "header": "['module', '___EOS___']", "index": 395 } ]

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[ { "content": "# PyAlgoTrade\n#\n# Copyright 2011-2015 Gabriel Martin Becedillas Ruiz\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\"\"\"\n.. moduleauthor:: Gabriel Martin Becedillas Ruiz <gabriel.becedillas@gmail.com>\n\"\"\"\n\nfrom pyalgotrade import utils\nfrom pyalgotrade import observer\nfrom pyalgotrade import dispatchprio\n\n\n# This class is responsible for dispatching events from multiple subjects, synchronizing them if necessary.\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Dispatcher(object):\n\n # Returns the current event datetime. It may be None for events from realtime subjects.\n\n\n\n\n\n\n # Return True if events were dispatched.\n\n # Returns a tuple with booleans\n # 1: True if all subjects hit eof\n # 2: True if at least one subject dispatched events.\n", "metadata": "root.Dispatcher", "header": "['module', '___EOS___']", "index": 26 }, { "content": " def __init__(self):\n self.__subjects = []\n self.__stop = False\n self.__startEvent = observer.Event()\n self.__idleEvent = observer.Event()\n self.__currDateTime = None", "metadata": "root.Dispatcher.__init__", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 27 }, { "content": " def getCurrentDateTime(self):\n return self.__currDateTime", "metadata": "root.Dispatcher.getCurrentDateTime", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 35 }, { "content": " def getStartEvent(self):\n return self.__startEvent", "metadata": "root.Dispatcher.getStartEvent", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 38 }, { "content": " def getIdleEvent(self):\n return self.__idleEvent", "metadata": "root.Dispatcher.getIdleEvent", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 41 }, { "content": " def stop(self):\n self.__stop = True", "metadata": "root.Dispatcher.stop", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 44 }, { "content": " def getSubjects(self):\n return self.__subjects", "metadata": "root.Dispatcher.getSubjects", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 47 }, { "content": " def addSubject(self, subject):\n # Skip the subject if it was already added.\n if subject in self.__subjects:\n return\n\n # If the subject has no specific dispatch priority put it right at the end.\n if subject.getDispatchPriority() is dispatchprio.LAST:\n self.__subjects.append(subject)\n else:\n # Find the position according to the subject's priority.\n pos = 0\n for s in self.__subjects:\n if s.getDispatchPriority() is dispatchprio.LAST or subject.getDispatchPriority() < s.getDispatchPriority():\n break\n pos += 1\n self.__subjects.insert(pos, subject)\n\n subject.onDispatcherRegistered(self)", "metadata": "root.Dispatcher.addSubject", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 50 }, { "content": " def __dispatchSubject(self, subject, currEventDateTime):\n ret = False\n # Dispatch if the datetime is currEventDateTime of if its a realtime subject.\n if not subject.eof() and subject.peekDateTime() in (None, currEventDateTime):\n ret = subject.dispatch() is True\n return ret", "metadata": "root.Dispatcher.__dispatchSubject", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 70 }, { "content": " def __dispatch(self):\n smallestDateTime = None\n eof = True\n eventsDispatched = False\n\n # Scan for the lowest datetime.\n for subject in self.__subjects:\n if not subject.eof():\n eof = False\n smallestDateTime = utils.safe_min(smallestDateTime, subject.peekDateTime())\n\n # Dispatch realtime subjects and those subjects with the lowest datetime.\n if not eof:\n self.__currDateTime = smallestDateTime\n\n for subject in self.__subjects:\n if self.__dispatchSubject(subject, smallestDateTime):\n eventsDispatched = True\n return eof, eventsDispatched", "metadata": "root.Dispatcher.__dispatch", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 80 }, { "content": " def run(self):\n try:\n for subject in self.__subjects:\n subject.start()\n\n self.__startEvent.emit()\n\n while not self.__stop:\n eof, eventsDispatched = self.__dispatch()\n if eof:\n self.__stop = True\n elif not eventsDispatched:\n self.__idleEvent.emit()\n finally:\n for subject in self.__subjects:\n subject.stop()\n for subject in self.__subjects:\n subject.join()", "metadata": "root.Dispatcher.run", "header": "['class', 'Dispatcher', '(', 'object', ')', ':', '___EOS___']", "index": 100 } ]

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[ { "content": "import os\nfrom .base import * # NOQA\n\n\nDEBUG = False\nSECRET_KEY = os.environ.get(\"SECRET_KEY\")\nFREEZER_BASE_URL = Path(\"/blog/\")\nSTATIC_URL = FREEZER_BASE_URL.child(\"static\")\nUPLOADS_URL = FREEZER_BASE_URL.child(\"uploads\")\nGIST_BACKEND_RENDERING = False\nSITE_URL = \"http://marteinn.se/blog\"\n\nFREEZER_DESTINATION = PROJECT_ROOT.child(\"blog\")\n\nGA_TRACKING = os.environ.get(\"GA_TRACKING\")\n\nAWS_ACCESS_KEY_ID = os.environ.get(\"AWS_ACCESS_KEY_ID\")\nAWS_ACCESS_KEY = os.environ.get(\"AWS_ACCESS_KEY\")\nS3_BUCKET = os.environ.get(\"S3_BUCKET\")\nS3_DESTINATION = os.environ.get(\"S3_DESTINATION\")\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

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[ { "content": " def __delitem__(self, name):\n name = self._valid_cookie_name(name)\n found = self._mutate_header(name, None)\n if not found:\n raise KeyError(name)", "metadata": "root.RequestCookies.__delitem__", "header": "['class', 'RequestCookies', '(', 'collections', '.', 'MutableMapping', ')', ':', '___EOS___']", "index": 112 } ]

[]

[]

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[ { "content": "@login_required\ndef profile(request, user_id=None):\n user = None\n databases = None\n teams = None\n roles = None\n try:\n user = User.objects.get(id=user_id)\n teams = Team.objects.filter(users=user)\n databases = Database.alive.filter(\n team__in=[team.id for team in teams]).order_by('team')\n roles = [team.role for team in teams]\n except Exception, e:\n LOG.warning(\"Ops... %s\" % e)\n\n return render_to_response(\"account/profile.html\", locals(), context_instance=RequestContext(request))", "metadata": "root.profile", "header": "['module', '___EOS___']", "index": 19 } ]

[]

[]

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[ { "content": "class BucketType(object):\n \"\"\"\n The ``BucketType`` object allows you to access and change\n properties on a Riak bucket type and access buckets within its\n namespace.\n \"\"\"\n\n\n\n\n\n\n\n\n\n\n\n __repr__ = __str__\n\n\n", "metadata": "root.BucketType", "header": "['module', '___EOS___']", "index": 610 }, { "content": " def __init__(self, client, name):\n \"\"\"\n Returns a new ``BucketType`` instance.\n\n :param client: A :class:`RiakClient <riak.client.RiakClient>`\n instance\n :type client: :class:`RiakClient <riak.client.RiakClient>`\n :param name: The bucket-type's name\n :type name: string\n \"\"\"\n self._client = client\n self.name = name", "metadata": "root.BucketType.__init__", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 616 }, { "content": " def is_default(self):\n \"\"\"\n Whether this bucket type is the default type, or a user-defined type.\n\n :rtype: bool\n\n \"\"\"\n return self.name == 'default'", "metadata": "root.BucketType.is_default", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 629 }, { "content": " def get_property(self, key):\n \"\"\"\n Retrieve a bucket-type property.\n\n :param key: The property to retrieve.\n :type key: string\n :rtype: mixed\n \"\"\"\n return self.get_properties()[key]", "metadata": "root.BucketType.get_property", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 638 }, { "content": " def set_property(self, key, value):\n \"\"\"\n Set a bucket-type property.\n\n :param key: Property to set.\n :type key: string\n :param value: Property value.\n :type value: mixed\n \"\"\"\n return self.set_properties({key: value})", "metadata": "root.BucketType.set_property", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 648 }, { "content": " def get_properties(self):\n \"\"\"\n Retrieve a dict of all bucket-type properties.\n\n :rtype: dict\n \"\"\"\n return self._client.get_bucket_type_props(self)", "metadata": "root.BucketType.get_properties", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 659 }, { "content": " def set_properties(self, props):\n \"\"\"\n Set multiple bucket-type properties in one call.\n\n :param props: A dictionary of properties\n :type props: dict\n \"\"\"\n self._client.set_bucket_type_props(self, props)", "metadata": "root.BucketType.set_properties", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 667 }, { "content": " def bucket(self, name):\n \"\"\"\n Gets a bucket that belongs to this bucket-type.\n\n :param name: the bucket name\n :type name: str\n :rtype: :class:`RiakBucket`\n \"\"\"\n return self._client.bucket(name, self)", "metadata": "root.BucketType.bucket", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 676 }, { "content": " def get_buckets(self, timeout=None):\n \"\"\"\n Get the list of buckets under this bucket-type as\n :class:`RiakBucket <riak.bucket.RiakBucket>` instances.\n\n .. warning:: Do not use this in production, as it requires\n traversing through all keys stored in a cluster.\n\n .. note:: This request is automatically retried :attr:`retries`\n times if it fails due to network error.\n\n :param timeout: a timeout value in milliseconds\n :type timeout: int\n :rtype: list of :class:`RiakBucket <riak.bucket.RiakBucket>`\n instances\n \"\"\"\n return self._client.get_buckets(bucket_type=self, timeout=timeout)", "metadata": "root.BucketType.get_buckets", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 686 }, { "content": " def stream_buckets(self, timeout=None):\n \"\"\"\n Streams the list of buckets under this bucket-type. This is a\n generator method that should be iterated over.\n\n The caller must close the stream when finished. See\n :meth:`RiakClient.stream_buckets()\n <riak.client.RiakClient.stream_buckets>` for more details.\n\n .. warning:: Do not use this in production, as it requires\n traversing through all keys stored in a cluster.\n\n :param timeout: a timeout value in milliseconds\n :type timeout: int\n :rtype: iterator that yields lists of :class:`RiakBucket\n <riak.bucket.RiakBucket>` instances\n \"\"\"\n return self._client.stream_buckets(bucket_type=self, timeout=timeout)", "metadata": "root.BucketType.stream_buckets", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 704 }, { "content": " @lazy_property\n def datatype(self):\n \"\"\"\n The assigned datatype for this bucket type, if present.\n\n :rtype: None or string\n \"\"\"\n if self.is_default():\n return None\n else:\n return self.get_properties().get('datatype')", "metadata": "root.BucketType.datatype", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 723 }, { "content": " def __str__(self):\n return \"<BucketType {0!r}>\".format(self.name)", "metadata": "root.BucketType.__str__", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 735 }, { "content": " def __hash__(self):\n return hash((self.name, self._client))", "metadata": "root.BucketType.__hash__", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 740 }, { "content": " def __eq__(self, other):\n if isinstance(other, self.__class__):\n return hash(self) == hash(other)\n else:\n return False", "metadata": "root.BucketType.__eq__", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 743 }, { "content": " def __ne__(self, other):\n if isinstance(other, self.__class__):\n return hash(self) != hash(other)\n else:\n return True", "metadata": "root.BucketType.__ne__", "header": "['class', 'BucketType', '(', 'object', ')', ':', '___EOS___']", "index": 749 } ]

[]

[]

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2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": " @staticmethod\n def unwatch_join_group(group_id, callback):\n raise tooz.NotImplemented", "metadata": "root.EtcdDriver.unwatch_join_group", "header": "['class', 'EtcdDriver', '(', 'coordination', '.', 'CoordinationDriver', ')', ':', '___EOS___']", "index": 221 } ]

[]

[]

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[ { "content": "def tokenize(readline, tokeneater=printtoken):\n \"\"\"\n The tokenize() function accepts two parameters: one representing the\n input stream, and one providing an output mechanism for tokenize().\n\n The first parameter, readline, must be a callable object which provides\n the same interface as the readline() method of built-in file objects.\n Each call to the function should return one line of input as a string.\n\n The second parameter, tokeneater, must also be a callable object. It is\n called once for each token, with five arguments, corresponding to the\n tuples generated by generate_tokens().\n \"\"\"\n try:\n tokenize_loop(readline, tokeneater)\n except StopTokenizing:\n pass", "metadata": "root.tokenize", "header": "['module', '___EOS___']", "index": 151 } ]

[]

[]

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[ { "content": " def tolinkmsgs(self, flags):\n ''' Build CORE API TLVs for a point-to-point link. One Link message\n describes this network.\n '''\n tlvdata = \"\"\n if len(self._netif) != 2:\n return tlvdata\n (if1, if2) = self._netif.items()\n if1 = if1[1]\n if2 = if2[1]\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_N1NUMBER,\n if1.node.objid)\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_N2NUMBER,\n if2.node.objid)\n delay = if1.getparam('delay')\n bw = if1.getparam('bw')\n loss = if1.getparam('loss')\n duplicate = if1.getparam('duplicate')\n jitter = if1.getparam('jitter')\n if delay is not None:\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_DELAY,\n delay)\n if bw is not None:\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_BW, bw)\n if loss is not None:\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_PER,\n str(loss))\n if duplicate is not None:\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_DUP,\n str(duplicate))\n if jitter is not None:\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_JITTER,\n jitter)\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_TYPE,\n self.linktype)\n\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_IF1NUM, \\\n if1.node.getifindex(if1))\n if if1.hwaddr:\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_IF1MAC,\n if1.hwaddr)\n for addr in if1.addrlist:\n (ip, sep, mask) = addr.partition('/')\n mask = int(mask)\n if isIPv4Address(ip):\n family = AF_INET\n tlvtypeip = coreapi.CORE_TLV_LINK_IF1IP4\n tlvtypemask = coreapi.CORE_TLV_LINK_IF1IP4MASK\n else:\n family = AF_INET6\n tlvtypeip = coreapi.CORE_TLV_LINK_IF1IP6\n tlvtypemask = coreapi.CORE_TLV_LINK_IF1IP6MASK\n ipl = socket.inet_pton(family, ip)\n tlvdata += coreapi.CoreLinkTlv.pack(tlvtypeip,\n IPAddr(af=family, addr=ipl))\n tlvdata += coreapi.CoreLinkTlv.pack(tlvtypemask, mask)\n\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_IF2NUM, \\\n if2.node.getifindex(if2))\n if if2.hwaddr:\n tlvdata += coreapi.CoreLinkTlv.pack(coreapi.CORE_TLV_LINK_IF2MAC,\n if2.hwaddr)\n for addr in if2.addrlist:\n (ip, sep, mask) = addr.partition('/')\n mask = int(mask)\n if isIPv4Address(ip):\n family = AF_INET\n tlvtypeip = coreapi.CORE_TLV_LINK_IF2IP4\n tlvtypemask = coreapi.CORE_TLV_LINK_IF2IP4MASK\n else:\n family = AF_INET6\n tlvtypeip = coreapi.CORE_TLV_LINK_IF2IP6\n tlvtypemask = coreapi.CORE_TLV_LINK_IF2IP6MASK\n ipl = socket.inet_pton(family, ip)\n tlvdata += coreapi.CoreLinkTlv.pack(tlvtypeip,\n IPAddr(af=family, addr=ipl))\n tlvdata += coreapi.CoreLinkTlv.pack(tlvtypemask, mask)\n\n msg = coreapi.CoreLinkMessage.pack(flags, tlvdata)\n return [msg,]", "metadata": "root.PtpNet.tolinkmsgs", "header": "['class', 'PtpNet', '(', 'NetgraphPipeNet', ')', ':', '___EOS___']", "index": 32 } ]

[]

[]

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[ { "content": "#coding:utf-8\nfrom ConfigParser import ConfigParser, RawConfigParser\nimport sys\nimport os\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def get_password():\n cf = ConfigParser()\n cf.read(sys.argv[1])\n password_path = cf.get('password_path', 'password_path')\n cf.read(password_path)\n return cf.get('password', 'password')", "metadata": "root.get_password", "header": "['module', '___EOS___']", "index": 5 }, { "content": "def modify_password(new_password):\n cf = ConfigParser()\n cf.read(sys.argv[1])\n password_path = cf.get('password_path', 'password_path')\n if os.path.exists(password_path):\n passwd_txt = ConfigParser()\n passwd_txt.read(password_path)\n else:\n passwd_txt = RawConfigParser()\n passwd_txt.add_section('password') \n\n passwd_txt.set('password', 'password', new_password)\n with open(password_path, 'w') as new_password:\n passwd_txt.write(new_password)", "metadata": "root.modify_password", "header": "['module', '___EOS___']", "index": 12 } ]

[]

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[ { "content": "def djangoerror():\n def _get_lines_from_file(filename, lineno, context_lines):\n \"\"\"\n Returns context_lines before and after lineno from file.\n Returns (pre_context_lineno, pre_context, context_line, post_context).\n \"\"\"\n try:\n source = open(filename).readlines()\n lower_bound = max(0, lineno - context_lines)\n upper_bound = lineno + context_lines\n\n pre_context = \\\n [line.strip('\\n') for line in source[lower_bound:lineno]]\n context_line = source[lineno].strip('\\n')\n post_context = \\\n [line.strip('\\n') for line in source[lineno + 1:upper_bound]]\n\n return lower_bound, pre_context, context_line, post_context\n except (OSError, IOError, IndexError):\n return None, [], None, [] \n \n exception_type, exception_value, tback = sys.exc_info()\n frames = []\n while tback is not None:\n filename = tback.tb_frame.f_code.co_filename\n function = tback.tb_frame.f_code.co_name\n lineno = tback.tb_lineno - 1\n\n # hack to get correct line number for templates\n lineno += tback.tb_frame.f_locals.get(\"__lineoffset__\", 0)\n \n pre_context_lineno, pre_context, context_line, post_context = \\\n _get_lines_from_file(filename, lineno, 7)\n\n if '__hidetraceback__' not in tback.tb_frame.f_locals:\n frames.append(web.storage({\n 'tback': tback,\n 'filename': filename,\n 'function': function,\n 'lineno': lineno,\n 'vars': tback.tb_frame.f_locals,\n 'id': id(tback),\n 'pre_context': pre_context,\n 'context_line': context_line,\n 'post_context': post_context,\n 'pre_context_lineno': pre_context_lineno,\n }))\n tback = tback.tb_next\n frames.reverse()\n urljoin = urlparse.urljoin\n def prettify(x):\n try: \n out = pprint.pformat(x)\n except Exception, e: \n out = '[could not display: <' + e.__class__.__name__ + \\\n ': '+str(e)+'>]'\n return out\n \n global djangoerror_r\n if djangoerror_r is None:\n djangoerror_r = Template(djangoerror_t, filename=__file__, filter=websafe)\n \n t = djangoerror_r\n globals = {'ctx': web.ctx, 'web':web, 'dict':dict, 'str':str, 'prettify': prettify}\n t.t.func_globals.update(globals)\n return t(exception_type, exception_value, frames)", "metadata": "root.djangoerror", "header": "['module', '___EOS___']", "index": 229 } ]

[]

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[ { "content": "from __future__ import absolute_import\n\nimport pytest\n\nfrom mock import patch\n\nfrom changes.constants import Status, Result\nfrom changes.expanders.tests import TestsExpander\nfrom changes.testutils import TestCase\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TestsExpanderTest(TestCase):\n\n\n\n\n", "metadata": "root.TestsExpanderTest", "header": "['module', '___EOS___']", "index": 11 }, { "content": " def setUp(self):\n super(TestsExpanderTest, self).setUp()\n self.project = self.create_project()", "metadata": "root.TestsExpanderTest.setUp", "header": "['class', 'TestsExpanderTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 12 }, { "content": " def get_expander(self, data):\n return TestsExpander(self.project, data)", "metadata": "root.TestsExpanderTest.get_expander", "header": "['class', 'TestsExpanderTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 16 }, { "content": " def test_validate(self):\n with pytest.raises(AssertionError):\n self.get_expander({}).validate()\n\n with pytest.raises(AssertionError):\n self.get_expander({'tests': []}).validate()\n\n with pytest.raises(AssertionError):\n self.get_expander({'cmd': 'echo 1', 'tests': []}).validate()\n\n self.get_expander({\n 'tests': [],\n 'cmd': 'echo {test_names}',\n }).validate()", "metadata": "root.TestsExpanderTest.test_validate", "header": "['class', 'TestsExpanderTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 19 }, { "content": " def test_get_test_stats(self):\n build = self.create_build(\n project=self.project,\n status=Status.finished,\n result=Result.passed,\n )\n job = self.create_job(build)\n self.create_test(job, name='foo.bar.test_baz', duration=50)\n self.create_test(job, name='foo.bar.test_bar', duration=25)\n\n expander = self.get_expander({})\n results, avg_time = expander.get_test_stats(self.project.slug)\n\n assert avg_time == 37\n\n assert results[('foo', 'bar')] == 75\n assert results[('foo', 'bar', 'test_baz')] == 50\n assert results[('foo', 'bar', 'test_bar')] == 25", "metadata": "root.TestsExpanderTest.test_get_test_stats", "header": "['class', 'TestsExpanderTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 34 }, { "content": " def test_sharding(self):\n tests = [\n 'foo/bar.py',\n 'foo/baz.py',\n 'foo.bar.test_biz',\n 'foo.bar.test_buz',\n ]\n test_weights = {\n ('foo', 'bar'): 50,\n ('foo', 'baz'): 15,\n ('foo', 'bar', 'test_biz'): 10,\n ('foo', 'bar', 'test_buz'): 200,\n }\n avg_test_time = sum(test_weights.values()) / len(test_weights)\n\n groups = TestsExpander.shard_tests(tests, 2, test_weights, avg_test_time)\n assert len(groups) == 2\n groups.sort()\n assert groups[0] == (78, ['foo/bar.py', 'foo/baz.py', 'foo.bar.test_biz'])\n assert groups[1] == (201, ['foo.bar.test_buz'])\n\n groups = TestsExpander.shard_tests(tests, 3, test_weights, avg_test_time)\n assert len(groups) == 3\n groups.sort()\n assert groups[0] == (27, ['foo/baz.py', 'foo.bar.test_biz'])\n assert groups[1] == (51, ['foo/bar.py'])\n assert groups[2] == (201, ['foo.bar.test_buz'])\n\n # more shards than tests\n groups = TestsExpander.shard_tests(tests, len(tests) * 2, test_weights, avg_test_time)\n assert len(groups) == len(tests)", "metadata": "root.TestsExpanderTest.test_sharding", "header": "['class', 'TestsExpanderTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 53 }, { "content": " @patch.object(TestsExpander, 'get_test_stats')\n def test_expand(self, mock_get_test_stats):\n mock_get_test_stats.return_value = {\n ('foo', 'bar'): 50,\n ('foo', 'baz'): 15,\n ('foo', 'bar', 'test_biz'): 10,\n ('foo', 'bar', 'test_buz'): 200,\n }, 68\n\n results = list(self.get_expander({\n 'cmd': 'py.test --junit=junit.xml {test_names}',\n 'tests': [\n 'foo/bar.py',\n 'foo/baz.py',\n 'foo.bar.test_biz',\n 'foo.bar.test_buz',\n ],\n }).expand(max_executors=2))\n\n results.sort(key=lambda x: x.data['weight'], reverse=True)\n\n assert len(results) == 2\n assert results[0].label == 'py.test --junit=junit.xml foo.bar.test_buz'\n assert results[0].data['weight'] == 201\n assert set(results[0].data['tests']) == set(['foo.bar.test_buz'])\n assert results[0].data['shard_count'] == 2\n assert results[0].commands[0].label == results[0].label\n assert results[0].commands[0].script == results[0].label\n\n assert results[1].label == 'py.test --junit=junit.xml foo/bar.py foo/baz.py foo.bar.test_biz'\n assert results[1].data['weight'] == 78\n assert set(results[1].data['tests']) == set(['foo/bar.py', 'foo/baz.py', 'foo.bar.test_biz'])\n assert results[1].data['shard_count'] == 2\n assert results[1].commands[0].label == results[1].label\n assert results[1].commands[0].script == results[1].label", "metadata": "root.TestsExpanderTest.test_expand", "header": "['class', 'TestsExpanderTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 85 } ]

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