xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

7bec654fc265aac08e29b93829d5f1686f3e37fb

45

py

Python

vnpy/gateway/hsoption/__init__.py

funrunskypalace/vnpy

2d87aede685fa46278d8d3392432cc127b797926

[ "MIT" ]

19,529

2015-03-02T12:17:35.000Z

2022-03-31T17:18:27.000Z

vnpy/gateway/hsoption/__init__.py

funrunskypalace/vnpy

2d87aede685fa46278d8d3392432cc127b797926

[ "MIT" ]

2,186

2015-03-04T23:16:33.000Z

2022-03-31T03:44:01.000Z

vnpy/gateway/hsoption/__init__.py

funrunskypalace/vnpy

2d87aede685fa46278d8d3392432cc127b797926

[ "MIT" ]

8,276

2015-03-02T05:21:04.000Z

2022-03-31T13:13:13.000Z

from .hsoption_gateway import HsoptionGateway

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7bec8ed04ec6ddaa1bb8b3262d604770e25814e0

155

py

Python

clnews/scripts/clnews.py

antavelos/clnews

1437b8535c80b041a869af2068d99445b320f19d

[ "MIT" ]

null

clnews/scripts/clnews.py

antavelos/clnews

1437b8535c80b041a869af2068d99445b320f19d

[ "MIT" ]

null

clnews/scripts/clnews.py

antavelos/clnews

1437b8535c80b041a869af2068d99445b320f19d

[ "MIT" ]

null

""" Implementation of the command-line clnews tool. """ from __future__ import absolute_import # For backward compatibility from clnews.shell import main

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1

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5

d008fa463c2de04379fbdb49d5076b415209cdaa

71

py

Python

app/models/document.py

MosesMendoza/text-passives

9df305fd83660a596e85a144658d103dcb6217c7

[ "MIT" ]

null

app/models/document.py

MosesMendoza/text-passives

9df305fd83660a596e85a144658d103dcb6217c7

[ "MIT" ]

null

app/models/document.py

MosesMendoza/text-passives

9df305fd83660a596e85a144658d103dcb6217c7

[ "MIT" ]

null

from pydantic import BaseModel class Document(BaseModel): text: str

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5

d05e9e6961f0ac48f85dae63800e64fadb451177

174

py

Python

tests/cxx/fixtures/update_progress_message.py

sankhesh/tomviz

7116f4eb75b30534a24462f4ddfb1694fe41c308

[ "BSD-3-Clause" ]

284

2015-01-05T08:53:20.000Z

2022-03-31T07:35:16.000Z

tests/cxx/fixtures/update_progress_message.py

sankhesh/tomviz

7116f4eb75b30534a24462f4ddfb1694fe41c308

[ "BSD-3-Clause" ]

1,579

2015-03-19T15:56:44.000Z

2022-03-21T11:29:04.000Z

tests/cxx/fixtures/update_progress_message.py

sankhesh/tomviz

7116f4eb75b30534a24462f4ddfb1694fe41c308

[ "BSD-3-Clause" ]

74

2015-01-29T16:24:32.000Z

2022-03-07T21:52:29.000Z

import tomviz.operators class TestOperator(tomviz.operators.Operator): def transform_scalars(self, data): self.progress.message = 'Is there anyone out there?'

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5

d08383725610f0a136dfab40636543774157526f

62

py

Python

Term 2/16/6-function-add.py

theseana/ajisa

1c92b00acd3fad7c92b8222b5f6a86fc6db4bcae

[ "MIT" ]

null

Term 2/16/6-function-add.py

theseana/ajisa

1c92b00acd3fad7c92b8222b5f6a86fc6db4bcae

[ "MIT" ]

null

Term 2/16/6-function-add.py

theseana/ajisa

1c92b00acd3fad7c92b8222b5f6a86fc6db4bcae

[ "MIT" ]

null

def add(n1, n2): return n1 + n2 z = add(42, 7) print(z)

8.857143

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5

d0c74729e71f0dc127e4a984824fb72f4e04c78c

41

py

Python

python3/src/hello-world.py

nighcoder/hello-world

e1251a13db0a698e3cb128013682c730bce0a92d

[ "MIT" ]

1

2021-07-02T16:31:44.000Z

python3/src/hello-world.py

nighcoder/hello-world

e1251a13db0a698e3cb128013682c730bce0a92d

[ "MIT" ]

null

python3/src/hello-world.py

nighcoder/hello-world

e1251a13db0a698e3cb128013682c730bce0a92d

[ "MIT" ]

null

#! /bin/env python3 print("hello world")

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5

d0cda6d237388cfd3d23678afe23795f2015f9b6

513

py

Python

models/brick.py

tb2johm/Brute-python

166f0aa87266a5310ca32a1cb6e1de1d2d41a77f

[ "MIT" ]

null

models/brick.py

tb2johm/Brute-python

166f0aa87266a5310ca32a1cb6e1de1d2d41a77f

[ "MIT" ]

null

models/brick.py

tb2johm/Brute-python

166f0aa87266a5310ca32a1cb6e1de1d2d41a77f

[ "MIT" ]

null

import numpy as np class Brick: def __init__(self, index, pattern): self.__index = index self.__pattern = np.array(pattern) print(f"Creating brick\n{self.__pattern * self.__index}") @property def index(self): return self.__index @property def pattern(self): return self.__pattern @property def width(self): return self.__pattern.shape[1] #columns @property def height(self): return self.__pattern.shape[0] #rows

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null

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1

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5

d0f49503f17fed4781533cedbacc18256d3882d6

74,916

py

Python

nova/tests/network/test_quantum_prime_manager.py

bopopescu/nova-39

36c7a819582b838b7bbab11d55ca3d991a587405

[ "Apache-2.0" ]

null

nova/tests/network/test_quantum_prime_manager.py

bopopescu/nova-39

36c7a819582b838b7bbab11d55ca3d991a587405

[ "Apache-2.0" ]

null

nova/tests/network/test_quantum_prime_manager.py

bopopescu/nova-39

36c7a819582b838b7bbab11d55ca3d991a587405

[ "Apache-2.0" ]

1

2020-07-24T09:39:47.000Z

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2012 OpenStack LLC. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import uuid import contextlib import mock from nova import context from nova import db from nova import exception from nova.network.quantum2 import manager from nova.network.quantum2 import melange_connection from nova.network.quantum2 import quantum_connection from nova.openstack.common import uuidutils from nova import test def dummy(*args, **kwargs): pass def dummy_list(*args, **kwargs): return [] def dummy_raise(*args, **kwargs): raise test.TestingException('Boom!') def _ip_addresses_helper(ips_per_vif): return ['10.0.0.1%02d' % i for i in xrange(ips_per_vif)] def _vif_helper(tenant_id, network_uuid, mac_offset=0, vif_id=None, name=None): network_name = name or 'net%s' % network_uuid return {'id': vif_id or str(uuidutils.generate_uuid()), 'mac_address': '00:00:00:00:00:%02d' % mac_offset, 'ip_addresses': [ {'address': _ip_addresses_helper(1)[0], 'ip_block': {'tenant_id': tenant_id, 'network_id': network_uuid, 'network_name': network_name, 'gateway': '10.0.0.1', 'cidr': '10.0.0.0/8', 'dns1': '8.8.8.8', 'dns2': '8.8.4.4', 'ip_routes': [ {'destination': '1.1.1.1', 'gateway': '2.2.2.2', 'netmask': '255.0.0.0'}]}}]} def _ips_from_vif_stub(ips_per_vif, tenants, networks, names): def ips(vif): ip_addresses = _ip_addresses_helper(ips_per_vif) nets = [n['network_id'] for n in networks] return ip_addresses, tenants, nets, names return ips def _fake_networks(network_count, tenant_id): """id is the id from melange network_id is the id from quantum. Dumb""" return [{'id': str(uuidutils.generate_uuid()), 'name': 'net%d' % i, 'network_name': 'qnet%s' % i, 'cidr': '10.0.0.0/8', 'network_id': str(uuidutils.generate_uuid()), 'tenant_id': tenant_id} for i in xrange(network_count)] def _get_allocated_networks_stub(vifs, bare_uuids=True): def allocated_nets(self, instance_id): if bare_uuids: return [{'id': vif} for vif in vifs] return vifs return allocated_nets def _allocate_for_instance_networks_stub(networks): vif_ids = [str(uuidutils.generate_uuid()) for i in xrange(len(networks))] def allocate(self, tenant_id, instance_id, nets): # explicitly ignoring including IPs, as we're going to # stub out the helper method that iterates over VIFs looking # for them. return [_vif_helper(tenant_id, networks[i], mac_offset=i, vif_id=vif_ids[i]) for i in xrange(len(networks))] return vif_ids, allocate def _create_network_stub(network_uuid): def net_create(self, tenant_id, label, nova_id=None): return network_uuid return net_create def _get_networks_for_tenant_stub(networks): def nets_for_tenant(self, tenant_id): return networks return nets_for_tenant def _create_ip_policy_stub(): def policy(self, tenant_id, network_id, label): return dict(id=1) return policy def _get_port_by_attachment_stub(port): def get_port(self, tenant_id, instance_id, interface_id): return port return get_port def _quantum_client_stub(networks_dict): class Client(object): def __init__(self, *args, **kwargs): self.tenant = None self.format = None def do_request(self, method, url): return networks_dict return Client def _normalize_network_stub(label): def normalize(net): net['label'] = label return net return normalize def _create_ip_block_stub(block): def ip(*args, **kwargs): return block return ip class QuantumPrimeManagerInterfaceTests(test.TestCase): """This test suite merely checks that the methods are callable.""" def setUp(self): super(QuantumPrimeManagerInterfaceTests, self).setUp() self.stubs.Set(manager.QuantumManager, '_clean_up_melange', dummy) self.context = context.RequestContext(user_id=1, project_id=1) self.net_manager = manager.QuantumManager() def test_allocate_for_instance(self): self.stubs.Set(quantum_connection.QuantumClientConnection, 'create_and_attach_port', dummy) self.stubs.Set(melange_connection.MelangeConnection, 'allocate_for_instance_networks', dummy_list) self.stubs.Set(melange_connection.MelangeConnection, 'get_networks_for_tenant', dummy_list) self.net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') def test_deallocate_for_instance(self): self.stubs.Set(melange_connection.MelangeConnection, 'get_allocated_networks', dummy_list) self.stubs.Set(melange_connection.MelangeConnection, 'allocate_for_instance_networks', dummy_list) self.net_manager.deallocate_for_instance(self.context, instance_id=1, project_id='project1') def test_get_all_networks(self): self.stubs.Set(melange_connection.MelangeConnection, 'get_networks_for_tenant', dummy_list) self.net_manager.get_all_networks(self.context) def test_init_host(self): self.net_manager.init_host() class Quantum2ManagerTestsAllocateForInstanceGlobalIDs(test.TestCase): def setUp(self): super(Quantum2ManagerTestsAllocateForInstanceGlobalIDs, self).setUp() self.flags(network_global_uuid_label_map=[ '00000000-0000-0000-0000-000000000000', 'public', '11111111-1111-1111-1111-111111111111', 'private']) self.tenant_id = 'project1' self.context = context.RequestContext(user_id=1, project_id=self.tenant_id) self.q_client = ('nova.network.quantum2.quantum_connection.' 'QuantumClientConnection') self.m_client = ('nova.network.quantum2.melange_connection.' 'MelangeConnection') self.default_networks = _fake_networks(2, self.tenant_id) def iterlabel(): for label in ['public', 'private']: yield label self.label_toggler = iterlabel() def pub_priv(s, network): network = {'id': network['network_id'], 'cidr': network['cidr']} try: network['label'] = self.label_toggler.next() except StopIteration: self.label_toggler = iterlabel() network['label'] = self.label_toggler.next() return network self.stubs.Set(manager.QuantumManager, '_normalize_network', pub_priv) self.stubs.Set(melange_connection.MelangeConnection, 'get_networks_for_tenant', lambda *args, **kwargs: self.default_networks) self.net_manager = manager.QuantumManager() self.normalized_networks = [self.net_manager._normalize_network(n) for n in self.default_networks] def test_nw_map(self): pub_uuid = [nw['id'] for nw in self.normalized_networks if nw['label'] == 'public'][0] priv_uuid = [nw['id'] for nw in self.normalized_networks if nw['label'] == 'private'][0] should_be = {'00000000-0000-0000-0000-000000000000': pub_uuid, '11111111-1111-1111-1111-111111111111': priv_uuid, pub_uuid: '00000000-0000-0000-0000-000000000000', priv_uuid: '11111111-1111-1111-1111-111111111111'} self.assertEqual(self.net_manager._nw_map, should_be) def test_get_all_networks(self): nets = self.net_manager.get_all_networks(self.context) should_be = self.normalized_networks for nw in should_be: if nw['label'] == 'public': nw['id'] = '00000000-0000-0000-0000-000000000000' elif nw['label'] == 'private': nw['id'] = '11111111-1111-1111-1111-111111111111' self.assertEqual(nets, should_be) def test_allocate_for_instance_with_global_requested_nets(self): with contextlib.nested( mock.patch.object(self.net_manager, '_vifs_to_model'), mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), ) as (vifs_to_model, create_and_attach, get_networks_for_tenant, allocate_for_instance_networks): # only take the first network for the test networks = _fake_networks(2, self.tenant_id) expected_networks = networks[:1] requested_networks = [n['network_id'] for n in expected_networks] requested_networks.append('0000000000-0000-0000-0000-000000000000') vifs = [_vif_helper(self.tenant_id, n['network_id']) for n in expected_networks] get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs instance_id = 1 kwargs = dict(instance_id=instance_id, rxtx_factor=1, project_id='project1', requested_networks=[requested_networks], host='host') self.net_manager.allocate_for_instance(self.context, **kwargs) args = (self.tenant_id, instance_id, [{'id': n['network_id'], 'tenant_id': n['tenant_id']} for n in expected_networks]) allocate_for_instance_networks.assert_called_once_with(*args) self.assertTrue(create_and_attach.called) class Quantum2ManagerTestRackConnect(test.TestCase): def setUp(self): super(Quantum2ManagerTestRackConnect, self).setUp() self.tenant_id = 'project1' self.rc_role = 'lulzconnect' self.q_tenant_id = 'quantum_tennant' self.servicenet_label = 'private' self.template_id = str(uuidutils.generate_uuid()) self.map = [str(uuidutils.generate_uuid()), self.servicenet_label] self.flags(network_global_uuid_label_map=self.map, quantum_default_tenant_id=self.q_tenant_id, rackconnect_roles=[self.rc_role], rackconnect_servicenet=self.servicenet_label, rackconnect_servicenet_policy=self.template_id) self.context = context.RequestContext(user_id=1, project_id=self.tenant_id, roles=[self.rc_role]) self.default_nets = [{'id': str(uuidutils.generate_uuid()), 'network_name': self.servicenet_label, 'cidr': '10.0.0.0/8', 'network_id': str(uuidutils.generate_uuid()), 'tenant_id': self.q_tenant_id}] self.networks = _fake_networks(1, self.tenant_id) self.vifs = [_vif_helper(self.tenant_id, n['network_id'], name=n['network_name']) for n in self.networks + self.default_nets] self.port_ids = [str(uuidutils.generate_uuid()) for vif in self.vifs] self.sp_port_id = self.port_ids[-1] self.q_client = ('nova.network.quantum2.quantum_connection.' 'QuantumClientConnection') self.m_client = ('nova.network.quantum2.melange_connection.' 'MelangeConnection') self.a_client = ('nova.network.quantum2.aiclib_connection.' 'AICLibConnection') def get_networks_for_tenant(self, tenant_id, *args, **kwargs): if tenant_id == self.q_tenant_id: return self.default_nets return self.networks def test_allocate_for_instance_global_policy(self): with contextlib.nested( mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch(self.a_client + '.set_securityprofile'), ) as (create_and_attach, get_networks_for_tenant, allocate_for_instance_networks, set_securityprofile): get_networks_for_tenant.side_effect = self.get_networks_for_tenant allocate_for_instance_networks.return_value = self.vifs create_and_attach.side_effect = self.port_ids net_manager = manager.QuantumManager() net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') set_securityprofile.assert_called_once_with(self.sp_port_id, self.template_id) def test_allocate_for_instance_per_port_policy(self): self.flags(rackconnect_clone_servicenet_policy=True) new_sp_id = str(uuidutils.generate_uuid()) with contextlib.nested( mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch(self.a_client + '.set_securityprofile'), mock.patch(self.a_client + '.create_securityprofile_from_template'), ) as (create_and_attach, get_networks_for_tenant, allocate_for_instance_networks, set_securityprofile, create_sp_from_tmpl): get_networks_for_tenant.side_effect = self.get_networks_for_tenant allocate_for_instance_networks.return_value = self.vifs create_and_attach.side_effect = self.port_ids create_sp_from_tmpl.return_value = {'uuid': new_sp_id} net_manager = manager.QuantumManager() net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') create_sp_from_tmpl.assert_called_once_with(self.tenant_id, self.template_id, mock.ANY) set_securityprofile.assert_called_once_with(self.sp_port_id, new_sp_id) def test_allocate_for_instance_per_tenant_policy_existing(self): self.flags(rackconnect_clone_servicenet_policy=True, rackconnect_clone_servicenet_policy_per_tenant=True) new_sp_id = str(uuidutils.generate_uuid()) with contextlib.nested( mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch(self.a_client + '.set_securityprofile'), mock.patch(self.a_client + '.get_securityprofile'), ) as (create_and_attach, get_networks_for_tenant, allocate_for_instance_networks, set_securityprofile, get_securityprofile, ): get_networks_for_tenant.side_effect = self.get_networks_for_tenant allocate_for_instance_networks.return_value = self.vifs create_and_attach.side_effect = self.port_ids get_securityprofile.return_value = {'uuid': new_sp_id} net_manager = manager.QuantumManager() net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') set_securityprofile.assert_called_once_with(self.sp_port_id, new_sp_id) def test_allocate_for_instance_per_tenant_policy_new(self): self.flags(rackconnect_clone_servicenet_policy=True, rackconnect_clone_servicenet_policy_per_tenant=True) new_sp_id = str(uuidutils.generate_uuid()) with contextlib.nested( mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch(self.a_client + '.set_securityprofile'), mock.patch(self.a_client + '.create_securityprofile_from_template'), mock.patch(self.a_client + '.get_securityprofile'), ) as (create_and_attach, get_networks_for_tenant, allocate_for_instance_networks, set_securityprofile, create_sp_from_tmpl, get_securityprofile, ): get_networks_for_tenant.side_effect = self.get_networks_for_tenant allocate_for_instance_networks.return_value = self.vifs create_and_attach.side_effect = self.port_ids create_sp_from_tmpl.return_value = {'uuid': new_sp_id} get_securityprofile.return_value = None net_manager = manager.QuantumManager() net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') create_sp_from_tmpl.assert_called_once_with(self.tenant_id, self.template_id) set_securityprofile.assert_called_once_with(self.sp_port_id, new_sp_id) class Quantum2ManagerTestsAllocateForInstance(test.TestCase): def setUp(self): super(Quantum2ManagerTestsAllocateForInstance, self).setUp() self.tenant_id = 'project1' self.context = context.RequestContext(user_id=1, project_id=self.tenant_id) self.net_manager = manager.QuantumManager() self.q_client = ('nova.network.quantum2.quantum_connection.' 'QuantumClientConnection') self.m_client = ('nova.network.quantum2.melange_connection.' 'MelangeConnection') def test_allocate_for_instance_with_vifs(self): with contextlib.nested( mock.patch.object(self.net_manager, '_vifs_to_model'), mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), ) as (vifs_to_model, create_and_attach, get_networks_for_tenant, allocate_for_instance_networks): networks = _fake_networks(1, self.tenant_id) vifs = [_vif_helper(self.tenant_id, n['network_id']) for n in networks] get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs self.net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') self.assertTrue(create_and_attach.called) def test_allocate_for_instance_with_requested_nets(self): with contextlib.nested( mock.patch.object(self.net_manager, '_vifs_to_model'), mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), ) as (vifs_to_model, create_and_attach, get_networks_for_tenant, allocate_for_instance_networks): # only take the first network for the test networks = _fake_networks(2, self.tenant_id) expected_networks = networks[:1] requested_networks = [n['network_id'] for n in expected_networks] vifs = [_vif_helper(self.tenant_id, n['network_id']) for n in expected_networks] get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs instance_id = 1 kwargs = dict(instance_id=instance_id, rxtx_factor=1, project_id='project1', requested_networks=[requested_networks], host='host') self.net_manager.allocate_for_instance(self.context, **kwargs) args = (self.tenant_id, instance_id, [{'id': n['network_id'], 'tenant_id': n['tenant_id']} for n in expected_networks]) allocate_for_instance_networks.assert_called_once_with(*args) self.assertTrue(create_and_attach.called) def test_allocate_for_instance_with_bad_requested_net_raises(self): with contextlib.nested( mock.patch.object(self.net_manager, '_vifs_to_model'), mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), ) as (vifs_to_model, create_and_attach, get_networks_for_tenant, allocate_for_instance_networks): # only take the first network for the test networks = _fake_networks(2, self.tenant_id) expected_networks = networks[:1] requested_networks = [(n['network_id'], '') for n in expected_networks] # request a bad network bad_rn = ('1 (607) 206-0502 u mad bro?', 'dietz') requested_networks.append(bad_rn) self.assertRaises(exception.NetworkNotFound, self.net_manager.allocate_for_instance, self.context, instance_id=1, rxtx_factor=1, project_id='project1', requested_networks=requested_networks, host='host') def test_allocate_for_instance_no_vifs_raises(self): with contextlib.nested( mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), ) as (create_and_attach, get_networks_for_tenant, allocate_for_instance_networks): networks = _fake_networks(1, self.tenant_id) get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = [] self.net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') self.assertEqual(create_and_attach.called, False) def test_allocate_for_instance_melange_allocation_fails(self): with contextlib.nested( mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), ) as (get_networks_for_tenant, allocate_for_instance_networks): get_networks_for_tenant.return_value = [] def side_effect(*args): def clean_up_call(*args, **kwargs): return allocate_for_instance_networks.side_effect = clean_up_call raise test.TestingException() allocate_for_instance_networks.side_effect = side_effect self.assertRaises(test.TestingException, self.net_manager.allocate_for_instance, self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') def test_allocate_for_instance_too_many_net_tenant_ids_fails(self): with contextlib.nested( mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch.object(self.net_manager, '_get_ips_and_ids_from_vif'), ) as (get_networks_for_tenant, allocate_for_instance_networks, _get_ips_and_ids_from_vif): networks = _fake_networks(1, self.tenant_id) vifs = [_vif_helper(self.tenant_id, n['network_id']) for n in networks] names = [n['name'] for n in networks] ips = _ips_from_vif_stub(ips_per_vif=2, tenants=['project1', 'project2'], networks=networks, names=names) _get_ips_and_ids_from_vif.side_effect = ips get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs self.assertRaises(exception.VirtualInterfaceCreateException, self.net_manager.allocate_for_instance, self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') def test_allocate_for_instance_too_many_net_ids_fails(self): with contextlib.nested( mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch.object(self.net_manager, '_get_ips_and_ids_from_vif'), ) as (get_networks_for_tenant, allocate_for_instance_networks, _get_ips_and_ids_from_vif): networks = _fake_networks(1, self.tenant_id) vifs = [_vif_helper(self.tenant_id, n['network_id']) for n in networks] names = [n['name'] for n in networks] ips = _ips_from_vif_stub(ips_per_vif=2, tenants=['project1'], networks=networks * 2, names=names * 2) _get_ips_and_ids_from_vif.side_effect = ips get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs self.assertRaises(exception.VirtualInterfaceCreateException, self.net_manager.allocate_for_instance, self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') def test_allocate_for_instance_no_net_tenant_ids_fails(self): with contextlib.nested( mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch.object(self.net_manager, '_get_ips_and_ids_from_vif'), ) as (get_networks_for_tenant, allocate_for_instance_networks, _get_ips_and_ids_from_vif): networks = _fake_networks(1, self.tenant_id) vifs = [_vif_helper(self.tenant_id, n['network_id']) for n in networks] names = [n['name'] for n in networks] ips = _ips_from_vif_stub(ips_per_vif=2, tenants=[], networks=networks, names=names) _get_ips_and_ids_from_vif.side_effect = ips get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs self.assertRaises(exception.VirtualInterfaceCreateException, self.net_manager.allocate_for_instance, self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') def test_allocate_for_instance_no_net_ids_fails(self): with contextlib.nested( mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch.object(self.net_manager, '_get_ips_and_ids_from_vif'), ) as (get_networks_for_tenant, allocate_for_instance_networks, _get_ips_and_ids_from_vif): networks = _fake_networks(1, self.tenant_id) vifs = [_vif_helper(self.tenant_id, n['network_id']) for n in networks] ips = _ips_from_vif_stub(ips_per_vif=2, tenants=['project1'], networks=[], names=[]) _get_ips_and_ids_from_vif.side_effect = ips get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs self.assertRaises(exception.VirtualInterfaceCreateException, self.net_manager.allocate_for_instance, self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') def test_allocate_for_instance_with_port_security(self): self.flags(quantum_use_port_security=True) with contextlib.nested( mock.patch.object(self.net_manager, '_vifs_to_model'), mock.patch.object(self.net_manager, '_generate_address_pairs'), mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), ) as (vifs_to_model, gen_pairs, create_and_attach, get_networks_for_tenant, allocate_for_instance_networks): networks = _fake_networks(1, self.tenant_id) vifs = [_vif_helper(self.tenant_id, n['network_id']) for n in networks] get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs self.net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') create_and_attach.assert_called() gen_pairs.assert_called() def test_allocate_for_instance_with_port_security_link_local(self): self.flags(quantum_use_port_security=True) with contextlib.nested( mock.patch.object(self.net_manager, '_vifs_to_model'), mock.patch.object(self.net_manager, '_generate_address_pairs'), mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch('netaddr.EUI'), ) as (vifs_to_model, gen_pairs, create_and_attach, get_networks_for_tenant, allocate_for_instance_networks, eui): networks = _fake_networks(1, self.tenant_id) vifs = [_vif_helper(self.tenant_id, n['network_id']) for n in networks] get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs self.net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id='project1', host='host') create_and_attach.assert_called() gen_pairs.assert_called() def test_allocate_for_instance_with_port_security_not_on_isolated(self): self.flags(quantum_use_port_security=True) self.flags(quantum_default_tenant_id=self.tenant_id) tenant_id = 'BERKS_ISERLATED_NETWERK' with contextlib.nested( mock.patch.object(self.net_manager, '_vifs_to_model'), mock.patch.object(self.net_manager, '_generate_address_pairs'), mock.patch(self.q_client + '.create_and_attach_port'), mock.patch(self.m_client + '.get_networks_for_tenant'), mock.patch(self.m_client + '.allocate_for_instance_networks'), mock.patch('netaddr.EUI'), ) as (vifs_to_model, gen_pairs, create_and_attach, get_networks_for_tenant, allocate_for_instance_networks, eui): networks = _fake_networks(1, self.tenant_id) networks.extend(_fake_networks(1, tenant_id)) vifs = [_vif_helper(n['tenant_id'], n['network_id']) for n in networks] get_networks_for_tenant.return_value = networks allocate_for_instance_networks.return_value = vifs self.net_manager.allocate_for_instance(self.context, instance_id=1, rxtx_factor=1, project_id=tenant_id, host='host') create_and_attach.assert_called() self.assertTrue(create_and_attach.call_count == 2) gen_pairs.assert_called() self.assertTrue(gen_pairs.call_count == 1) class Quantum2ManagerDeallocateForInstance(test.TestCase): def setUp(self): super(Quantum2ManagerDeallocateForInstance, self).setUp() self.tenant_id = 'project1' self.context = context.RequestContext(user_id=1, project_id=self.tenant_id) self.net_manager = manager.QuantumManager() stub = self.stubs.Set networks = _fake_networks(1, self.tenant_id) names = [n['name'] for n in networks] self.vifs, allocate_stub = _allocate_for_instance_networks_stub( networks=networks) stub(melange_connection.MelangeConnection, 'allocate_for_instance_networks', allocate_stub) stub(self.net_manager, '_get_ips_and_ids_from_vif', _ips_from_vif_stub(ips_per_vif=2, tenants=['project1'], networks=networks, names=names)) self.stubs.Set(melange_connection.MelangeConnection, 'get_allocated_networks', _get_allocated_networks_stub(self.vifs)) def test_deallocate_instance_no_vifs(self): self.stubs.Set(melange_connection.MelangeConnection, 'get_allocated_networks', _get_allocated_networks_stub([])) with mock.patch('nova.network.quantum2.manager.QuantumManager' '._deallocate_port') as patch: self.net_manager.deallocate_for_instance(context=self.context, instance_id=1, project_id=self.tenant_id) self.assertEqual(patch.called, False) def test_deallocate_for_instance(self): with mock.patch('nova.network.quantum2.manager.QuantumManager' '._deallocate_port') as patch: self.net_manager.deallocate_for_instance(context=self.context, instance_id=1, project_id=self.tenant_id) self.assertEqual(patch.called, True) def test_deallocate_instance_deallocate_port_fails(self): """ It's hard to assert this test is proving anything. We have to assume the raise just happens """ with mock.patch('nova.network.quantum2.manager.QuantumManager' '._deallocate_port', mock.MagicMock(side_effect=Exception('Boom'))): self.net_manager.deallocate_for_instance(self.context, 1, self.tenant_id) class Quantum2ManagerCreateNetworks(test.TestCase): def test_create_networks(self): net_manager = manager.QuantumManager() network_uuid = uuidutils.generate_uuid() stub = self.stubs.Set ctxt = context.RequestContext(user_id=1, project_id='project1') stub(net_manager, '_normalize_network', _normalize_network_stub('label')) stub(melange_connection.MelangeConnection, 'create_unusable_range_in_policy', dummy) stub(quantum_connection.QuantumClientConnection, 'create_network', _create_network_stub(network_uuid)) stub(melange_connection.MelangeConnection, 'create_ip_policy', _create_ip_policy_stub()) stub(melange_connection.MelangeConnection, 'create_unusable_octet_in_policy', dummy) stub(melange_connection.MelangeConnection, 'create_ip_block', _create_ip_block_stub({})) ret = net_manager.create_networks(ctxt, label='label', cidr='10.0.0.0/24') self.assertEqual(ret, [{'label': 'label'}]) class Quantum2ManagerDeleteNetwork(test.TestCase): def setUp(self): super(Quantum2ManagerDeleteNetwork, self).setUp() self.tenant_id = 'project1' self.context = context.RequestContext(user_id=1, project_id=self.tenant_id) self.net_manager = manager.QuantumManager() self.networks = _fake_networks(network_count=2, tenant_id=self.tenant_id) stub = self.stubs.Set stub(melange_connection.MelangeConnection, 'get_networks_for_tenant', _get_networks_for_tenant_stub(self.networks)) stub(quantum_connection.QuantumClientConnection, 'delete_network', dummy) def test_delete_network_no_networks_raises(self): self.assertRaises(exception.NetworkNotFound, self.net_manager.delete_network, context=self.context, uuid='wharrgarbl') def test_delete_network_too_many_networks_raises(self): network_uuid = self.networks[0]['network_id'] # Make the ids the same, so we find two of the same net self.networks[1]['network_id'] = network_uuid self.assertRaises(exception.NetworkFoundMultipleTimes, self.net_manager.delete_network, context=self.context, uuid=network_uuid) def test_delete_network_active_ports_raises(self): with mock.patch('nova.network.quantum2.melange_connection.' 'MelangeConnection.get_interfaces') as patch: patch.return_value = [1] network_uuid = self.networks[0]['network_id'] self.assertRaises(exception.NetworkBusy, self.net_manager.delete_network, context=self.context, uuid=network_uuid) def test_delete_network(self): network_uuid = self.networks[0]['network_id'] with contextlib.nested( mock.patch('nova.network.quantum2.melange_connection.' 'MelangeConnection.delete_ip_block'), mock.patch('nova.network.quantum2.melange_connection.' 'MelangeConnection.get_interfaces') ) as (delete_ip_block, get_interfaces): get_interfaces.return_value = [] self.net_manager.delete_network(context=self.context, uuid=network_uuid) delete_ip_block.assert_called() class Quantum2ManagerGetAllNetworks(test.TestCase): def setUp(self): super(Quantum2ManagerGetAllNetworks, self).setUp() self.tenant_id = 'project1' self.net_manager = manager.QuantumManager() stub = self.stubs.Set self.context = context.RequestContext(user_id=1, project_id='project1') self.networks = _fake_networks(network_count=2, tenant_id=self.tenant_id) stub(melange_connection.MelangeConnection, 'get_networks_for_tenant', _get_networks_for_tenant_stub(self.networks)) stub(self.net_manager, '_normalize_network', _normalize_network_stub('label')) def test_get_all_networks_no_tenant(self): nets = self.net_manager.get_all_networks(self.context) self.assertEqual(nets, self.networks) class Quantum2ManagerGetInstanceNwInfo(test.TestCase): def setUp(self): super(Quantum2ManagerGetInstanceNwInfo, self).setUp() self.q_client = ('nova.network.quantum2.quantum_connection.' 'QuantumClientConnection') self.m_client = ('nova.network.quantum2.melange_connection.' 'MelangeConnection') def test_get_instance_nw_info(self): tenant_id = 'project1' net_manager = manager.QuantumManager() ctx = context.RequestContext(user_id=1, project_id=tenant_id) with mock.patch( self.m_client + '.get_allocated_networks' ) as get_allocated_networks: networks = _fake_networks(2, tenant_id) vifs = [_vif_helper(tenant_id, n['network_id']) for n in networks] get_allocated_networks.return_value = vifs get_nw_info = net_manager.get_instance_nw_info res = get_nw_info(ctx, instance_id=1, project_id=tenant_id) self.assertEqual(len(res), len(vifs)) def test_get_instance_nw_info_correct_order(self): tenant_id = 'project1' net_manager = manager.QuantumManager() ctx = context.RequestContext(user_id=1, project_id=tenant_id) networks = _fake_networks(2, tenant_id) vifs = [_vif_helper(tenant_id, networks[-1]['network_id'], name='net1'), _vif_helper(tenant_id, networks[0]['network_id'], name='net0')] network_order = ['net%d' % i for i in xrange(len(networks))] self.flags(network_order=network_order) with mock.patch(self.m_client + '.get_allocated_networks' ) as get_allocated_networks: get_allocated_networks.return_value = vifs get_nw_info = net_manager.get_instance_nw_info res = get_nw_info(ctx, instance_id=1, project_id=tenant_id) self.assertEqual(len(res), len(vifs)) self.assertEqual(res[0]['network']['label'], networks[0]['name']) self.assertEqual(res[1]['network']['label'], networks[-1]['name']) class Quantum2ManagerGetIpsAndIdsFromVifs(test.TestCase): def test_get_ips_and_ids_from_vifs(self): self.tenant_id = 'project1' self.net_manager = manager.QuantumManager() network_uuid = str(uuidutils.generate_uuid()) network_name = 'net%s' % network_uuid self.context = context.RequestContext(user_id=1, project_id='project1') vif = _vif_helper(self.tenant_id, network_uuid) res = self.net_manager._get_ips_and_ids_from_vif(vif) addresses, tenants, network_uuids, network_names = res self.assertEquals(addresses, ['10.0.0.100']) self.assertEquals(tenants, set(['project1'])) self.assertEquals(network_uuids, set([network_uuid])) self.assertEquals(network_names, set([network_name])) class Quantum2ManagerCleanUpMelange(test.TestCase): def setUp(self): super(Quantum2ManagerCleanUpMelange, self).setUp() self.tenant_id = 'project1' self.net_manager = manager.QuantumManager() self.context = context.RequestContext(user_id=1, project_id=self.tenant_id) self.networks = _fake_networks(network_count=1, tenant_id=self.tenant_id) self.vifs, allocate_stub = _allocate_for_instance_networks_stub( self.networks) self.allocate_stub = allocate_stub def test_clean_up_melange(self): self.stubs.Set(melange_connection.MelangeConnection, 'allocate_for_instance_networks', self.allocate_stub) self.net_manager._clean_up_melange(self.tenant_id, instance_id=1, raise_exception=False) def test_clean_up_melange_no_exception_doesnt_raise(self): self.stubs.Set(melange_connection.MelangeConnection, 'allocate_for_instance_networks', self.allocate_stub) self.net_manager._clean_up_melange(self.tenant_id, instance_id=1, raise_exception=True) def test_clean_up_melange_exception_raise_exception_true_raises(self): self.stubs.Set(melange_connection.MelangeConnection, 'allocate_for_instance_networks', dummy_raise) self.assertRaises(exception.VirtualInterfaceCleanupException, self.net_manager._clean_up_melange, self.tenant_id, instance_id=1, raise_exception=True) def test_clean_up_melange_exception_raise_exception_false(self): self.stubs.Set(melange_connection.MelangeConnection, 'allocate_for_instance_networks', dummy_raise) self.net_manager._clean_up_melange(self.tenant_id, instance_id=1, raise_exception=False) class Quantum2ManagerGenerateAddressPairs(test.TestCase): def test_generate_address_pairs(self): self.tenant_id = 'project1' self.net_manager = manager.QuantumManager() network_uuid = str(uuidutils.generate_uuid()) self.context = context.RequestContext(user_id=1, project_id=self.tenant_id) vif = _vif_helper(self.tenant_id, network_uuid) ips = _ip_addresses_helper(1) res = self.net_manager._generate_address_pairs(vif, ips) self.assertEquals(res[0]['ip_address'], '10.0.0.100') self.assertEquals(res[0]['mac_address'], '00:00:00:00:00:00') class Quantum2ManagerDeallocatePort(test.TestCase): def setUp(self): super(Quantum2ManagerDeallocatePort, self).setUp() self.tenant_id = 'project1' self.net_manager = manager.QuantumManager() self.network_uuid = str(uuidutils.generate_uuid()) self.context = context.RequestContext(user_id=1, project_id=self.tenant_id) self.stubs.Set(quantum_connection.QuantumClientConnection, 'get_port_by_attachment', _get_port_by_attachment_stub('port')) def test_deallocate_port_no_port(self): self.stubs.Set(quantum_connection.QuantumClientConnection, 'get_port_by_attachment', _get_port_by_attachment_stub(None)) with mock.patch( 'nova.network.quantum2.quantum_connection.' 'QuantumClientConnection.detach_and_delete_port' ) as patch: self.net_manager._deallocate_port(self.tenant_id, self.network_uuid, interface_id=1) self.assertEqual(patch.called, False) def test_deallocate_port(self): with mock.patch( 'nova.network.quantum2.quantum_connection.' 'QuantumClientConnection.detach_and_delete_port' ) as patch: self.net_manager._deallocate_port(self.tenant_id, self.network_uuid, interface_id=1) self.assertEqual(patch.called, True) class Quantum2ManagerVifFromNetwork(test.TestCase): def setUp(self): super(Quantum2ManagerVifFromNetwork, self).setUp() self.tenant_id = 'project1' self.net_manager = manager.QuantumManager() self.label = 'public' self.network_uuid = str(uuidutils.generate_uuid()) self.context = context.RequestContext(user_id=1, project_id=self.tenant_id) def test_vif_from_network(self): vifs = _vif_helper(self.tenant_id, self.network_uuid) res = self.net_manager._vif_from_network(vifs, self.network_uuid, self.label) self.assertEquals(res['network']['subnets'][0]['ips'][0]['address'], '10.0.0.100') def test_vif_from_network_no_gateway(self): vifs = _vif_helper(self.tenant_id, self.network_uuid) vifs['ip_addresses'][0]['ip_block'].pop('gateway') res = self.net_manager._vif_from_network(vifs, self.network_uuid, self.label) self.assertEqual(res['network']['subnets'][0].get('gateway'), None) def test_vif_from_network_no_dns(self): vifs = _vif_helper(self.tenant_id, self.network_uuid) vifs['ip_addresses'][0]['ip_block'].pop('dns1') vifs['ip_addresses'][0]['ip_block'].pop('dns2') res = self.net_manager._vif_from_network(vifs, self.network_uuid, self.label) self.assertEqual(res['network']['subnets'][0].get('dns'), []) class Quantum2ManagerVifsToModel(test.TestCase): def setUp(self): super(Quantum2ManagerVifsToModel, self).setUp() self.tenant_id = 'project1' self.net_manager = manager.QuantumManager() stub = self.stubs.Set self.context = context.RequestContext(user_id=1, project_id=self.tenant_id) self.networks = _fake_networks(network_count=1, tenant_id=self.tenant_id) self.names = [n['name'] for n in self.networks] stub(self.net_manager, '_get_ips_and_ids_from_vif', _ips_from_vif_stub(ips_per_vif=2, tenants=['project1'], networks=self.networks, names=self.names)) self.vif = _vif_helper(self.tenant_id, self.networks[0]['id']) def test_vifs_to_model_no_network_ids_fails(self): self.stubs.Set(self.net_manager, '_get_ips_and_ids_from_vif', _ips_from_vif_stub(ips_per_vif=2, tenants=['project1'], networks=[], names=self.names)) self.assertRaises(exception.VirtualInterfaceIntegrityException, self.net_manager._vifs_to_model, [self.vif]) def test_vifs_to_model_no_tenant_ids_fails(self): self.stubs.Set(self.net_manager, '_get_ips_and_ids_from_vif', _ips_from_vif_stub(ips_per_vif=2, tenants=[], networks=self.networks, names=self.names)) self.assertRaises(exception.VirtualInterfaceIntegrityException, self.net_manager._vifs_to_model, [self.vif]) def test_vifs_to_model_too_many_networks_fails(self): networks = _fake_networks(network_count=4, tenant_id=self.tenant_id) names = [n['name'] for n in networks] self.stubs.Set(self.net_manager, '_get_ips_and_ids_from_vif', _ips_from_vif_stub(ips_per_vif=2, tenants=['project1'], networks=networks, names=names)) self.assertRaises(exception.VirtualInterfaceIntegrityException, self.net_manager._vifs_to_model, [self.vif]) def test_vifs_to_model_too_many_tenants_fails(self): networks = _fake_networks(network_count=4, tenant_id=self.tenant_id) names = [n['name'] for n in networks] self.stubs.Set(self.net_manager, '_get_ips_and_ids_from_vif', _ips_from_vif_stub(ips_per_vif=2, tenants=['project1'] * 4, networks=networks, names=names)) self.assertRaises(exception.VirtualInterfaceIntegrityException, self.net_manager._vifs_to_model, [self.vif]) def test_vifs_to_model(self): res = self.net_manager._vifs_to_model([self.vif]) self.assertEquals(res[0]['network']['subnets'][0]['ips'][0]['address'], '10.0.0.100') class Quantum2GetInstanceUUIDS(test.TestCase): def setUp(self): super(Quantum2GetInstanceUUIDS, self).setUp() self.net_manager = manager.QuantumManager() self.context = context.RequestContext(user_id=1, project_id=1) def test_get_instance_uuids_by_ip_filter(self): filters = {'ip': 'ip_address'} self.stubs.Set(melange_connection.MelangeConnection, 'get_instance_ids_by_ip_address', lambda a, b, c: ["instance_id"]) instance = self.mox.CreateMockAnything() instance.uuid = 'instance_uuid' self.mox.StubOutWithMock(db, 'instance_get_by_uuid') db.instance_get_by_uuid(self.context, 'instance_id').AndReturn(instance) self.mox.ReplayAll() uuids = self.net_manager.get_instance_uuids_by_ip_filter(self.context, filters) self.assertEquals(uuids, [{'instance_uuid': 'instance_uuid'}]) class Quantum2VirtualInterfaces(test.TestCase): def setUp(self): super(Quantum2VirtualInterfaces, self).setUp() self.net_manager = manager.QuantumManager() self.context = context.RequestContext(user_id=1, project_id=1) def _discover_nets_stub(self, ret): def disc(*args, **kwargs): return ret return disc def _get_vif(self, ret): def vif(*args, **kwargs): return ret return vif def _dummy(*args, **kwargs): pass def test_create_virtual_interface(self): instance_id = 1 rxtx_factor = 1 project_id = "openstack" network_id = uuid.uuid4() self.stubs.Set(manager.QuantumManager, "_discover_networks", self._discover_nets_stub([{"id": network_id}])) self.stubs.Set(melange_connection.MelangeConnection, "get_allocated_networks", _get_allocated_networks_stub([])) self.stubs.Set(melange_connection.MelangeConnection, "allocate_interface_for_instance", self._dummy) self.stubs.Set(manager.QuantumManager, "_clean_vif_list", self._dummy) with mock.patch("nova.network.quantum2.manager.QuantumManager." "_establish_interface_and_port") as patch: self.net_manager.allocate_interface_for_instance(self.context, instance_id, rxtx_factor, project_id, network_id) self.assertEqual(patch.called, True) def test_create_virtual_interface_too_many_connections_fails(self): instance_id = 1 rxtx_factor = 1 project_id = "openstack" network_id = uuid.uuid4() vif = _vif_helper(project_id, network_id) self.stubs.Set(manager.QuantumManager, "_discover_networks", self._discover_nets_stub([{"id": network_id}])) self.stubs.Set(melange_connection.MelangeConnection, "get_allocated_networks", _get_allocated_networks_stub([vif], bare_uuids=False)) self.stubs.Set(melange_connection.MelangeConnection, "allocate_interface_for_instance", self._dummy) self.stubs.Set(manager.QuantumManager, "_establish_interface_and_port", self._dummy) instance_id = 1 rxtx_factor = 1 project_id = "openstack" network_id = uuid.uuid4() self.assertRaises(exception.AlreadyAttachedToNetwork, self.net_manager.allocate_interface_for_instance, self.context, instance_id, rxtx_factor, project_id, network_id) def test_delete_virtual_interface(self): instance_id = 1 project_id = "openstack" network_id = uuid.uuid4() vif = _vif_helper(project_id, network_id) self.stubs.Set(manager.QuantumManager, "_deallocate_port", self._dummy) self.stubs.Set(melange_connection.MelangeConnection, "get_interface_for_device", self._get_vif(vif)) instance_id = 1 project_id = "openstack" network_id = uuid.uuid4() with mock.patch("nova.network.quantum2.melange_connection." "MelangeConnection." "deallocate_interface_for_instance") as patch: self.net_manager.deallocate_interface_for_instance(self.context, instance_id, vif["id"]) self.assertEquals(patch.called, True) class Quantum2ManagerTestsAddRemoveFixedIP(test.TestCase): def setUp(self): super(Quantum2ManagerTestsAddRemoveFixedIP, self).setUp() map = ['00000000-0000-0000-0000-000000000000', 'public', '11111111-1111-1111-1111-111111111111', 'private'] self.flags(quantum_use_port_security=True, network_global_uuid_label_map=map) self.tenant_id = 'default' self.context = context.RequestContext(is_admin=True, user_id=1, project_id=self.tenant_id) self.q_conn = ('nova.network.quantum2.quantum_connection.' 'QuantumClientConnection') self.m_conn = ('nova.network.quantum2.melange_connection.' 'MelangeConnection') self.default_networks = _fake_networks(2, self.tenant_id) def iterlabel(): for label in ['public', 'private']: yield label self.label_toggler = iterlabel() def pub_priv(s, network): network = {'id': network['network_id'], 'cidr': network['cidr']} try: network['label'] = self.label_toggler.next() except StopIteration: self.label_toggler = iterlabel() network['label'] = self.label_toggler.next() return network self.stubs.Set(manager.QuantumManager, '_normalize_network', pub_priv) self.stubs.Set(melange_connection.MelangeConnection, 'get_networks_for_tenant', lambda *args, **kwargs: self.default_networks) self.net_manager = manager.QuantumManager() def test_add_fixed_ip_to_instance_isolated(self): with contextlib.nested( mock.patch(self.m_conn + '.get_allocated_networks'), mock.patch(self.m_conn + '.get_interface_for_device'), mock.patch(self.m_conn + '.allocate_ip_for_instance'), mock.patch(self.q_conn + '.update_allowed_address_pairs_on_port'), mock.patch(self.q_conn + '.get_port_by_attachment'), ) as (get_allocated_networks, get_interface_for_device, allocate_ip_for_instance, update_port, get_port_by_attachment): ip_block = {'network_id': '1'} get_allocated_networks.return_value = [ {'id': 'fake_uuid', 'tenant_id': self.tenant_id, 'ip_addresses': [{'address': '10.0.0.3', 'ip_block': ip_block}]}] get_interface_for_device.return_value = { 'interface': {'mac_address': 'xx.xx.xx.xx.xx.xx.xx', 'ip_addresses': [{'address': '10.0.0.5'}, {'address': '10.0.0.6'}]}} get_port_by_attachment.return_value = 'some-uuid' self.net_manager.add_fixed_ip_to_instance(self.context, instance_id='1', host='host', network_id='1') self.assertTrue(allocate_ip_for_instance.called) self.assertTrue(update_port.called) def test_add_fixed_ip_to_instance_rax(self): with contextlib.nested( mock.patch(self.m_conn + '.get_allocated_networks'), mock.patch(self.m_conn + '.get_interface_for_device'), mock.patch(self.m_conn + '.allocate_ip_for_instance'), mock.patch(self.q_conn + '.update_allowed_address_pairs_on_port'), mock.patch(self.q_conn + '.get_port_by_attachment'), ) as (get_allocated_networks, get_interface_for_device, allocate_ip_for_instance, update_port, get_port_by_attachment): ip_block = {'network_id': self.default_networks[1]['network_id']} get_allocated_networks.return_value = [ {'id': 'fake_uuid', 'tenant_id': self.tenant_id, 'ip_addresses': [{'address': '10.0.0.3', 'ip_block': ip_block}]}] get_interface_for_device.return_value = { 'interface': {'mac_address': 'xx.xx.xx.xx.xx.xx.xx', 'ip_addresses': [{'address': '10.0.0.5'}, {'address': '10.0.0.6'}]}} get_port_by_attachment.return_value = 'some-uuid' net_id = '11111111-1111-1111-1111-111111111111' self.net_manager.add_fixed_ip_to_instance(self.context, instance_id='1', host='host', network_id=net_id) self.assertTrue(allocate_ip_for_instance.called) self.assertTrue(update_port.called) def test_add_fixed_ip_to_instance_no_interface(self): with contextlib.nested( mock.patch(self.m_conn + '.get_allocated_networks'), mock.patch(self.m_conn + '.get_interface_for_device'), mock.patch(self.m_conn + '.allocate_ip_for_instance'), mock.patch(self.q_conn + '.update_allowed_address_pairs_on_port'), mock.patch(self.q_conn + '.get_port_by_attachment'), ) as (get_allocated_networks, get_interface_for_device, allocate_ip_for_instance, update_port, get_port_by_attachment): get_allocated_networks.return_value = {} get_interface_for_device.return_value = {} self.net_manager.add_fixed_ip_to_instance(self.context, instance_id='1', host='host', network_id='1') self.assertFalse(allocate_ip_for_instance.called) self.assertFalse(update_port.called) def test_add_fixed_ip_bad_context(self): with contextlib.nested( mock.patch(self.m_conn + '.get_allocated_networks'), mock.patch(self.m_conn + '.get_interface_for_device'), mock.patch(self.m_conn + '.allocate_ip_for_instance'), mock.patch(self.q_conn + '.update_allowed_address_pairs_on_port'), mock.patch(self.q_conn + '.get_port_by_attachment'), ) as (get_allocated_networks, get_interface_for_device, allocate_ip_for_instance, update_port, get_port_by_attachment): ctxt = context.RequestContext(user_id=1, project_id=self.tenant_id) self.net_manager.add_fixed_ip_to_instance(ctxt, instance_id='1', host='host', network_id='1') self.assertFalse(allocate_ip_for_instance.called) self.assertFalse(update_port.called) def test_remove_fixed_ip_from_instance(self): with contextlib.nested( mock.patch(self.m_conn + '.get_allocated_networks'), mock.patch(self.m_conn + '.get_interface_for_device'), mock.patch(self.m_conn + '.deallocate_ip_for_instance'), mock.patch(self.q_conn + '.update_allowed_address_pairs_on_port'), mock.patch(self.q_conn + '.get_port_by_attachment'), ) as (get_allocated_networks, get_interface_for_device, deallocate_ip_for_instance, update_port, get_port_by_attachment): ip_block = {'network_id': 'some_uuid', 'tenant_id': self.tenant_id} get_allocated_networks.return_value = [ {'id': 'fake_uuid', 'ip_addresses': [{'address': '10.0.0.3', 'ip_block': ip_block, 'version': 4}, {'address': '10.0.0.4', 'ip_block': ip_block, 'version': 4}]}] get_interface_for_device.return_value = { 'interface': {'mac_address': 'xx.xx.xx.xx.xx.xx.xx', 'ip_addresses': [{'address': '10.0.0.5'}, {'address': '10.0.0.6'}]}} get_port_by_attachment.return_value = 'some-uuid' self.net_manager.remove_fixed_ip_from_instance(self.context, instance_id='1', host='host', address='10.0.0.3') self.assertTrue(deallocate_ip_for_instance.called) self.assertTrue(update_port.called) def test_remove_last_fixed_ip_from_instance(self): with contextlib.nested( mock.patch(self.m_conn + '.get_allocated_networks'), mock.patch(self.m_conn + '.get_interface_for_device'), mock.patch(self.m_conn + '.deallocate_ip_for_instance'), mock.patch(self.q_conn + '.update_port'), mock.patch(self.q_conn + '.get_port_by_attachment'), ) as (get_allocated_networks, get_interface_for_device, deallocate_ip_for_instance, update_port, get_port_by_attachment): ip_block = {'network_id': 'some_uuid'} get_allocated_networks.return_value = [ {'id': 'fake_uuid', 'ip_addresses': [{'address': '10.0.0.3', 'ip_block': ip_block, 'version': 4}]}] get_interface_for_device.return_value = { 'interface': {'mac_address': 'xx.xx.xx.xx.xx.xx.xx', 'ip_addresses': [{'address': '10.0.0.5'}, {'address': '10.0.0.6'}]}} get_port_by_attachment.return_value = 'some-uuid' self.net_manager.remove_fixed_ip_from_instance(self.context, instance_id='1', host='host', address='10.0.0.3') self.assertFalse(deallocate_ip_for_instance.called) self.assertFalse(update_port.called) def test_remove_fixed_ip_from_instance_addr_not_found(self): with contextlib.nested( mock.patch(self.m_conn + '.get_allocated_networks'), mock.patch(self.m_conn + '.get_interface_for_device'), mock.patch(self.m_conn + '.deallocate_ip_for_instance'), mock.patch(self.q_conn + '.update_allowed_address_pairs_on_port'), mock.patch(self.q_conn + '.get_port_by_attachment'), ) as (get_allocated_networks, get_interface_for_device, deallocate_ip_for_instance, update_port, get_port_by_attachment): get_allocated_networks.return_value = {} get_interface_for_device.return_value = {} self.net_manager.remove_fixed_ip_from_instance(self.context, instance_id='1', host='host', address='10.0.0.3') self.assertFalse(deallocate_ip_for_instance.called) self.assertFalse(update_port.called) def test_remove_fixed_ip_bad_context(self): with contextlib.nested( mock.patch(self.m_conn + '.get_allocated_networks'), mock.patch(self.m_conn + '.get_interface_for_device'), mock.patch(self.m_conn + '.deallocate_ip_for_instance'), mock.patch(self.q_conn + '.update_allowed_address_pairs_on_port'), mock.patch(self.q_conn + '.get_port_by_attachment'), ) as (get_allocated_networks, get_interface_for_device, deallocate_ip_for_instance, update_port, get_port_by_attachment): ctxt = context.RequestContext(user_id=1, project_id=self.tenant_id) self.net_manager.remove_fixed_ip_from_instance(ctxt, instance_id='1', host='host', address='10.0.0.3') self.assertFalse(deallocate_ip_for_instance.called) self.assertFalse(update_port.called)

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levels/__init__.py

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84ae7b3bc024efd5770c9e99ece17b5f2b303c69

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levels/__init__.py

Sigma-One/TextGame

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Python

{{cookiecutter.project_name}}/tests/unitTests/{{cookiecutter.project_name}}Tests.py

michael-c-hoffman/python-best-practices-cookiecutter

4dc35689477a7506fbb1bfd97a6850e5ac61bf05

[ "MIT" ]

null

{{cookiecutter.project_name}}/tests/unitTests/{{cookiecutter.project_name}}Tests.py

michael-c-hoffman/python-best-practices-cookiecutter

4dc35689477a7506fbb1bfd97a6850e5ac61bf05

[ "MIT" ]

null

{{cookiecutter.project_name}}/tests/unitTests/{{cookiecutter.project_name}}Tests.py

michael-c-hoffman/python-best-practices-cookiecutter

4dc35689477a7506fbb1bfd97a6850e5ac61bf05

[ "MIT" ]

null

from {{cookiecutter.project_module}}.fib import fib def fibTest(data_fib) -> None: assert fib(data_fib[0]) == data_fib[1]

21.333333

51

0.710938

20

128

4.35

0.65

0.241379

0

0.018182

0.140625

128

5

52

25.6

0.772727

0

0.333333

0

null

0

0.333333

null

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null

1

0

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0

null

0

1

0

1

0

5

4be38520353d58f8544a37270501861b04a3d539

208

py

Python

pysit/solvers/__init__.py

zfang-slim/pysit

8fca42b9749841abc302d1f8195a1437fad7ae4d

[ "BSD-3-Clause" ]

64

2015-09-08T06:23:27.000Z

2022-03-09T23:35:24.000Z

pysit/solvers/__init__.py

zfang-slim/pysit

8fca42b9749841abc302d1f8195a1437fad7ae4d

[ "BSD-3-Clause" ]

23

2015-10-08T01:14:24.000Z

2021-07-15T11:37:05.000Z

pysit/solvers/__init__.py

zfang-slim/pysit

8fca42b9749841abc302d1f8195a1437fad7ae4d

[ "BSD-3-Clause" ]

48

2015-06-25T14:48:22.000Z

2021-12-06T19:50:25.000Z

from .wave_factory import * from .helmholtz_factory import * from .model_parameter import * #So we can set bounds like WaveSpeed.add_upper_bound(val) #__all__ = filter(lambda s: not s.startswith('_'),dir())

34.666667

88

0.764423

31

208

4.806452

0.806452

0.174497

0.228188

0

0.125

208

5

89

41.6

0.818681

0.533654

0

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0

true

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1

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null

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0

null

0

1

0

1

0

1

0

5

4bf799049835ee98f798eb87be0afde53ec823c4

98

py

Python

DeepRL_For_HPE/DatasetHandler/__init__.py

muratcancicek/Deep_RL_For_Head_Pose_Est

b3436a61a44d20d8bcfd1341792e0533e3ff9fc2

[ "Apache-2.0" ]

null

DeepRL_For_HPE/DatasetHandler/__init__.py

muratcancicek/Deep_RL_For_Head_Pose_Est

b3436a61a44d20d8bcfd1341792e0533e3ff9fc2

[ "Apache-2.0" ]

null

DeepRL_For_HPE/DatasetHandler/__init__.py

muratcancicek/Deep_RL_For_Head_Pose_Est

b3436a61a44d20d8bcfd1341792e0533e3ff9fc2

[ "Apache-2.0" ]

null

""" from . import BiwiTarBrowser from . import BiwiBrowser from . import NighborFolderimporter """

19.6

35

0.77551

9

98

8.444444

0.555556

0.394737

0

0.132653

98

5

36

19.6

0.894118

0.918367

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

ef0cd1d46a9380f86af4612212d902041f4cd801

104

py

Python

backend/app/settings/logging.py

MaxKochanov/stock-news

42776196604e91cd673c94c9f7dea71343791bd1

[ "MIT" ]

6

2021-02-03T04:25:06.000Z

2022-01-28T15:28:45.000Z

backend/app/settings/logging.py

MaxKochanov/stock-news

42776196604e91cd673c94c9f7dea71343791bd1

[ "MIT" ]

null

backend/app/settings/logging.py

MaxKochanov/stock-news

42776196604e91cd673c94c9f7dea71343791bd1

[ "MIT" ]

5

2021-02-01T08:41:30.000Z

2021-09-30T22:10:49.000Z

def init_logging(): pass async def format_log_message(request, response, has_body=True): pass

14.857143

63

0.730769

15

104

4.8

0.866667

0

0.182692

104

6

64

17.333333

0.847059

0

0.5

0

1

0.25

true

0.5

0

0.25

0

1

0

null

0

1

0

null

0

1

0

5

ef2a9753949539c1ab03aefefdfbea7d4d36e394

63

py

Python

pyfido/__init__.py

frenck/pyfido

1b8f5eebe59fa039db42933e1d28af5aff537993

[ "Apache-2.0" ]

4

2017-05-10T15:15:44.000Z

2021-11-12T23:02:07.000Z

pyfido/__init__.py

frenck/pyfido

1b8f5eebe59fa039db42933e1d28af5aff537993

[ "Apache-2.0" ]

3

2018-09-19T22:39:26.000Z

2020-11-24T10:56:32.000Z

pyfido/__init__.py

frenck/pyfido

1b8f5eebe59fa039db42933e1d28af5aff537993

[ "Apache-2.0" ]

6

2017-03-08T14:17:44.000Z

2021-03-03T11:01:16.000Z

from pyfido.client import FidoClient, REQUESTS_TIMEOUT # NOQA

31.5

62

0.825397

8

63

6.375

1

0

0.126984

63

1

63

0.927273

0.063492

0

1

0

true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

ef47538c9709f8445ee167e4ace94773829d6fa0

116

py

Python

general-practice/Exercises solved/w3resource/basic/Exercise80.py

lugabrielbueno/Projeto

f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0

[ "MIT" ]

null

general-practice/Exercises solved/w3resource/basic/Exercise80.py

lugabrielbueno/Projeto

f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0

[ "MIT" ]

null

general-practice/Exercises solved/w3resource/basic/Exercise80.py

lugabrielbueno/Projeto

f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0

[ "MIT" ]

null

# Write a Python program to get the current value of the recursion limit import sys print(sys.getrecursionlimit())

23.2

72

0.793103

18

116

5.111111

0.888889

0

0.155172

116

5

73

23.2

0.938776

0.603448

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ef5983d070c2bf372771aca5149cc949a29aa5bf

139

py

Python

Replacewithinthefragment.py

Arnabsaha6/Snakify

df0c1112ae8a56a275044f786bfd89f746e3ca85

[ "MIT" ]

null

Replacewithinthefragment.py

Arnabsaha6/Snakify

df0c1112ae8a56a275044f786bfd89f746e3ca85

[ "MIT" ]

null

Replacewithinthefragment.py

Arnabsaha6/Snakify

df0c1112ae8a56a275044f786bfd89f746e3ca85

[ "MIT" ]

null

Code: s = input() a = s[:s.find('h') + 1] b = s[s.find('h') + 1:s.rfind('h')] c = s[s.rfind('h'):] s = a + b.replace('h', 'H') + c print(s)

19.857143

35

0.453237

32

139

1.96875

0.375

0.095238

0.190476

0.222222

0.253968

0

0.017544

0.179856

139

7

36

19.857143

0.535088

0

0.042857

0

null

0

null

0.142857

0

1

null

0

1

0

1

0

null

0

1

0

5

ef5a7e156decb04321539d1f27c8ff94d439cdf2

143

py

Python

en/037/python/main.py

franciscogomes2020/exercises

8b33c4b9349a9331e4002a8225adc2a482c70024

[ "MIT" ]

null

en/037/python/main.py

franciscogomes2020/exercises

8b33c4b9349a9331e4002a8225adc2a482c70024

[ "MIT" ]

null

en/037/python/main.py

franciscogomes2020/exercises

8b33c4b9349a9331e4002a8225adc2a482c70024

[ "MIT" ]

null

# Write a Python program that reads any integer and ask the user to choose the base conversion: 1 to binary, 2 to octal, and 3 to hexadecimal.

71.5

142

0.769231

27

143

4.074074

0.814815

0

0.026087

0.195804

143

1

143

0.930435

0.979021

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

32413d042e7301bff11ee11afa18899c6ed05867

1,266

py

Python

document/migrations/0005_auto_20210505_0912.py

sainioan/extractiontool

9908b7ff1915b00a5721405a48b13d941442e1dd

[ "MIT" ]

2

2021-05-18T17:25:06.000Z

2021-05-28T04:24:16.000Z

document/migrations/0005_auto_20210505_0912.py

sainioan/extractiontool

9908b7ff1915b00a5721405a48b13d941442e1dd

[ "MIT" ]

38

2021-01-20T09:38:37.000Z

2021-05-15T13:10:05.000Z

document/migrations/0005_auto_20210505_0912.py

sainioan/extractiontool

9908b7ff1915b00a5721405a48b13d941442e1dd

[ "MIT" ]

3

2021-01-20T13:18:31.000Z

2021-02-25T13:34:49.000Z

# Generated by Django 3.1.5 on 2021-05-05 06:12 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('document', '0004_auto_20210504_0619'), ] operations = [ migrations.AddField( model_name='pdf', name='issue', field=models.CharField(blank=True, max_length=100, null=True), ), migrations.AddField( model_name='pdf', name='journal', field=models.CharField(blank=True, max_length=100, null=True), ), migrations.AddField( model_name='pdf', name='pages', field=models.CharField(blank=True, max_length=100, null=True), ), migrations.AddField( model_name='pdf', name='publisher', field=models.CharField(blank=True, max_length=100, null=True), ), migrations.AddField( model_name='pdf', name='volume', field=models.CharField(blank=True, max_length=100, null=True), ), migrations.AddField( model_name='pdf', name='year', field=models.CharField(blank=True, max_length=100, null=True), ), ]

28.772727

74

0.552923

131

1,266

5.229008

0.328244

0.157664

0.20146

0.236496

0.727007

0.677372

0

0.05711

0.322275

1,266

43

75

29.44186

0.741259

0.035545

0

0.648649

1

0

0.069729

0.018868

0

1

0

false

0

0.027027

0

0.108108

0

null

0

1

0

1

0

1

0

1

0

null

0

5

325a3b8341579af2591259415d06e4973f8754aa

217

py

Python

bonobo/structs/tokens.py

winsmith/bonobo

6fb9f52bec43a23feac2db968dd4315d75d69910

[ "Apache-2.0" ]

1

2017-11-13T22:29:27.000Z

bonobo/structs/tokens.py

winsmith/bonobo

6fb9f52bec43a23feac2db968dd4315d75d69910

[ "Apache-2.0" ]

null

bonobo/structs/tokens.py

winsmith/bonobo

6fb9f52bec43a23feac2db968dd4315d75d69910

[ "Apache-2.0" ]

null

class Token: """Factory for signal oriented queue messages or other token types.""" def __init__(self, name): self.__name__ = name def __repr__(self): return '<{}>'.format(self.__name__)

24.111111

74

0.635945

26

217

4.692308

0.692308

0.196721

0

0.239631

217

8

75

27.125

0.739394

0.294931

0

0.027211

0

1

0.4

false

0

0.2

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

5

327acfa198c827fc76c4dd76166fe92b49ca0632

103

py

Python

src/services/db_connection_manager/__init__.py

Asa-Nisi-Masa/movie-recommender

92752aa302e166885ab3e39b3e9d2ac9185a013e

[ "MIT" ]

null

src/services/db_connection_manager/__init__.py

Asa-Nisi-Masa/movie-recommender

92752aa302e166885ab3e39b3e9d2ac9185a013e

[ "MIT" ]

null

src/services/db_connection_manager/__init__.py

Asa-Nisi-Masa/movie-recommender

92752aa302e166885ab3e39b3e9d2ac9185a013e

[ "MIT" ]

null

from .db_connection_manager import DbConnectionManager db_connection_manager = DbConnectionManager()

20.6

54

0.873786

10

103

8.6

0.6

0.27907

0.44186

0

0.087379

103

4

55

25.75

0.914894

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

086c525a43d9f00dab1f0ddde7871d3e3fb97750

86

py

Python

project/sitemaps.py

andywar65/starter-fullstack

683d6282eb02a9b967d15cd254976e67549672e9

[ "BSD-2-Clause" ]

null

project/sitemaps.py

andywar65/starter-fullstack

683d6282eb02a9b967d15cd254976e67549672e9

[ "BSD-2-Clause" ]

null

project/sitemaps.py

andywar65/starter-fullstack

683d6282eb02a9b967d15cd254976e67549672e9

[ "BSD-2-Clause" ]

null

from django.contrib.sitemaps import Sitemap # noqa: F401 # add here sitemap classes

21.5

57

0.77907

12

86

5.583333

0.916667

0

0.041667

0.162791

86

3

58

28.666667

0.888889

0.406977

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

08a3f713edb0efd3058710929520f4dc3f521816

30,678

py

Python

third_party/ite/cost/meta_i.py

gdikov/adversarial-variational-bayes

ebd692c70349f34bcb3a2086269bd814cafce96f

[ "MIT" ]

11

2017-09-25T07:46:43.000Z

2019-12-04T12:02:49.000Z

Foundations_of_Private_Computation/Split_Learning/concepts-definitions-code/ite-repo/ite/cost/meta_i.py

gonzalo-munillag/Private_AI_OpenMined

c23da9cc1c914d10646a0c0bc1a2497fe2cbaaca

[ "MIT" ]

null

Foundations_of_Private_Computation/Split_Learning/concepts-definitions-code/ite-repo/ite/cost/meta_i.py

gonzalo-munillag/Private_AI_OpenMined

c23da9cc1c914d10646a0c0bc1a2497fe2cbaaca

[ "MIT" ]

4

2018-04-26T15:08:37.000Z

2019-07-02T14:15:08.000Z

""" Meta mutual information estimators. """ from numpy.random import rand from numpy import ones from ite.cost.x_initialization import InitX, InitAlpha from ite.cost.x_verification import VerCompSubspaceDims, VerOneDSubspaces,\ VerSubspaceNumberIsK from ite.cost.x_factory import co_factory from ite.shared import joint_and_product_of_the_marginals_split,\ copula_transformation class MIShannon_DKL(InitX, VerCompSubspaceDims): """ Shannon mutual information estimator based on KL divergence. The estimation is based on the relation I(y^1,...,y^M) = D(f_y,\prod_{m=1}^M f_{y^m}), where I is the Shannon mutual information, D is the Kullback-Leibler divergence. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, kl_co_name='BDKL_KnnK', kl_co_pars=None): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) kl_co_name : str, optional You can change it to any Kullback-Leibler divergence estimator (default is 'BDKL_KnnK'). kl_co_pars : dictionary, optional Parameters for the KL divergence estimator (default is None (=> {}); in this case the default parameter values of the KL divergence estimator are used). Examples -------- >>> import ite >>> co1 = ite.cost.MIShannon_DKL() >>> co2 = ite.cost.MIShannon_DKL(kl_co_name='BDKL_KnnK') >>> dict_ch = {'knn_method': 'cKDTree', 'k': 4, 'eps': 0.1} >>> co3 = ite.cost.MIShannon_DKL(kl_co_name='BDKL_KnnK',\ kl_co_pars=dict_ch) """ # initialize with 'InitX': super().__init__(mult=mult) # initialize the KL divergence estimator: kl_co_pars = kl_co_pars or {} kl_co_pars['mult'] = mult # guarantee this property self.kl_co = co_factory(kl_co_name, **kl_co_pars) def estimation(self, y, ds): """ Estimate Shannon mutual information. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated Shannon mutual information. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) y1, y2 = joint_and_product_of_the_marginals_split(y, ds) i = self.kl_co.estimation(y1, y2) return i class MIChi2_DChi2(InitX, VerCompSubspaceDims): """ Chi-square mutual information estimator based on chi^2 distance. The estimation is based on the relation I(y^1,...,y^M) = D(f_y,\prod_{m=1}^M f_{y^m}), where I is the chi-square mutual information, D is the chi^2 distance. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, chi2_co_name='BDChi2_KnnK', chi2_co_pars=None): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) chi2_co_name : str, optional You can change it to any Pearson chi-square divergence estimator (default is 'BDChi2_KnnK'). chi2_co_pars : dictionary, optional Parameters for the Pearson chi-square divergence estimator (default is None (=> {}); in this case the default parameter values of the Pearson chi-square divergence estimator are used). Examples -------- >>> import ite >>> co1 = ite.cost.MIChi2_DChi2() >>> co2 = ite.cost.MIChi2_DChi2(chi2_co_name='BDChi2_KnnK') >>> dict_ch = {'knn_method': 'cKDTree', 'k': 4, 'eps': 0.1} >>> co3 = ite.cost.MIChi2_DChi2(chi2_co_name='BDChi2_KnnK', \ chi2_co_pars=dict_ch) """ # initialize with 'InitX': super().__init__(mult=mult) # initialize the chi-square divergence estimator: chi2_co_pars = chi2_co_pars or {} chi2_co_pars['mult'] = mult # guarantee this property self.chi2_co = co_factory(chi2_co_name, **chi2_co_pars) def estimation(self, y, ds): """ Estimate chi-square mutual information. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated chi-square mutual information. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) y1, y2 = joint_and_product_of_the_marginals_split(y, ds) i = self.chi2_co.estimation(y1, y2) return i class MIL2_DL2(InitX, VerCompSubspaceDims): """ L2 mutual information estimator based on L2 divergence. The estimation is based on the relation I(y^1,...,y^M) = D(f_y,\prod_{m=1}^M f_{y^m}), where I is the L2 mutual information, D is the L2 divergence. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, l2_co_name='BDL2_KnnK', l2_co_pars=None): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) l2_co_name : str, optional You can change it to any L2 divergence estimator (default is 'BDL2_KnnK'). l2_co_pars : dictionary, optional Parameters for the L2 divergence estimator (default is None (=> {}); in this case the default parameter values of the L2 divergence estimator are used). Examples -------- >>> import ite >>> co1 = ite.cost.MIL2_DL2() >>> co2 = ite.cost.MIL2_DL2(l2_co_name='BDL2_KnnK') >>> dict_ch = {'knn_method': 'cKDTree', 'k': 2, 'eps': 0.1} >>> co3 = ite.cost.MIL2_DL2(l2_co_name='BDL2_KnnK',\ l2_co_pars=dict_ch) """ # initialize with 'InitX': super().__init__(mult=mult) # initialize the L2 divergence estimator: l2_co_pars = l2_co_pars or {} l2_co_pars['mult'] = mult # guarantee this property self.l2_co = co_factory(l2_co_name, **l2_co_pars) def estimation(self, y, ds): """ Estimate L2 mutual information. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated L2 mutual information. References ---------- Barnabas Poczos, Zoltan Szabo, Jeff Schneider: Nonparametric divergence estimators for Independent Subspace Analysis. European Signal Processing Conference (EUSIPCO), pages 1849-1853, 2011. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) y1, y2 = joint_and_product_of_the_marginals_split(y, ds) i = self.l2_co.estimation(y1, y2) return i class MIRenyi_DR(InitAlpha, VerCompSubspaceDims): """ Renyi mutual information estimator based on Renyi divergence. The estimation is based on the relation I(y^1,...,y^M) = D(f_y,\prod_{m=1}^M f_{y^m}), where I is the Renyi mutual information, D is the Renyi divergence. Partial initialization comes from 'InitAlpha', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, alpha=0.99, renyi_co_name='BDRenyi_KnnK', renyi_co_pars=None): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) alpha : float, optional Parameter of the Renyi mutual information (default is 0.99). renyi_co_name : str, optional You can change it to any Renyi divergence estimator (default is 'BDRenyi_KnnK'). renyi_co_pars : dictionary, optional Parameters for the Renyi divergence estimator (default is None (=> {}); in this case the default parameter values of the Renyi divergence estimator are used). Examples -------- >>> import ite >>> co1 = ite.cost.MIRenyi_DR() >>> co2 = ite.cost.MIRenyi_DR(renyi_co_name='BDRenyi_KnnK') >>> co3 = ite.cost.MIRenyi_DR(renyi_co_name='BDRenyi_KnnK',\ alpha=0.4) >>> dict_ch = {'knn_method': 'cKDTree', 'k': 2, 'eps': 0.1} >>> co4 = ite.cost.MIRenyi_DR(mult=True,alpha=0.9,\ renyi_co_name='BDRenyi_KnnK',\ renyi_co_pars=dict_ch) """ # initialize with 'InitAlpha': super().__init__(mult=mult, alpha=alpha) # initialize the Renyi divergence estimator: renyi_co_pars = renyi_co_pars or {} renyi_co_pars['mult'] = mult # guarantee this property renyi_co_pars['alpha'] = alpha # -||- self.renyi_co = co_factory(renyi_co_name, **renyi_co_pars) def estimation(self, y, ds): """ Estimate Renyi mutual information. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated Renyi mutual information. References ---------- Barnabas Poczos, Zoltan Szabo, Jeff Schneider. Nonparametric divergence estimators for Independent Subspace Analysis. European Signal Processing Conference (EUSIPCO), pages 1849-1853, 2011. Barnabas Poczos, Jeff Schneider. On the Estimation of alpha-Divergences. International Conference on Artificial Intelligence and Statistics (AISTATS), pages 609-617, 2011. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) y1, y2 = joint_and_product_of_the_marginals_split(y, ds) i = self.renyi_co.estimation(y1, y2) return i class MITsallis_DT(InitAlpha, VerCompSubspaceDims): """ Tsallis mutual information estimator based on Tsallis divergence. The estimation is based on the relation I(y^1,...,y^M) = D(f_y,\prod_{m=1}^M f_{y^m}), where I is the Tsallis mutual information, D is the Tsallis divergence. Partial initialization comes from 'InitAlpha', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, alpha=0.99, tsallis_co_name='BDTsallis_KnnK', tsallis_co_pars=None): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) alpha : float, optional Parameter of the Renyi mutual information (default is 0.99). tsallis_co_name : str, optional You can change it to any Tsallis divergence estimator (default is 'BDTsallis_KnnK'). tsallis_co_pars : dictionary, optional Parameters for the Tsallis divergence estimator (default is None (=> {}); in this case the default parameter values of the Tsallis divergence estimator are used). Examples -------- >>> import ite >>> co1 = ite.cost.MITsallis_DT() >>> co2 = ite.cost.MITsallis_DT(tsallis_co_name='BDTsallis_KnnK') >>> co3 = ite.cost.MITsallis_DT(tsallis_co_name='BDTsallis_KnnK',\ alpha=0.4) >>> dict_ch = {'knn_method': 'cKDTree', 'k': 2, 'eps': 0.1} >>> co4 = ite.cost.MITsallis_DT(mult=True,alpha=0.9,\ tsallis_co_name='BDTsallis_KnnK',\ tsallis_co_pars=dict_ch) """ # initialize with 'InitAlpha': super().__init__(mult=mult, alpha=alpha) # initialize the Tsallis divergence estimator: tsallis_co_pars = tsallis_co_pars or {} tsallis_co_pars['mult'] = mult # guarantee this property tsallis_co_pars['alpha'] = alpha # -||- self.tsallis_co = co_factory(tsallis_co_name, **tsallis_co_pars) def estimation(self, y, ds): """ Estimate Tsallis mutual information. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated Tsallis mutual information. References ---------- Barnabas Poczos, Zoltan Szabo, Jeff Schneider. Nonparametric divergence estimators for Independent Subspace Analysis. European Signal Processing Conference (EUSIPCO), pages 1849-1853, 2011. Barnabas Poczos, Jeff Schneider. On the Estimation of alpha-Divergences. International Conference on Artificial Intelligence and Statistics (AISTATS), pages 609-617, 2011. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) y1, y2 = joint_and_product_of_the_marginals_split(y, ds) i = self.tsallis_co.estimation(y1, y2) return i class MIMMD_CopulaDMMD(InitX, VerCompSubspaceDims, VerOneDSubspaces): """ Copula and MMD based kernel dependency estimator. MMD stands for maximum mean discrepancy. The estimation is based on the relation I(Y_1,...,Y_d) = MMD(P_Z,P_U), where (i) Z =[F_1(Y_1);...;F_d(Y_d)] is the copula transformation of Y; F_i is the cdf of Y_i, (ii) P_U is the uniform distribution on [0,1]^d, (iii) dim(Y_1) = ... = dim(Y_d) = 1. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerOneDSubspaces' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, mmd_co_name='BDMMD_UStat', mmd_co_pars=None): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) mmd_co_name : str, optional You can change it to any MMD estimator (default is 'BDMMD_UStat'). mmd_co_pars : dictionary, optional Parameters for the MMD estimator (default is None (=> {}); in this case the default parameter values of the MMD estimator are used). Examples -------- >>> import ite >>> from ite.cost.x_kernel import Kernel >>> co1 = ite.cost.MIMMD_CopulaDMMD() >>> co2 = ite.cost.MIMMD_CopulaDMMD(mmd_co_name='BDMMD_UStat') >>> dict_ch = {'kernel': Kernel({'name': 'RBF','sigma': 0.1})} >>> co3 = ite.cost.MIMMD_CopulaDMMD(mmd_co_name='BDMMD_UStat',\ mmd_co_pars=dict_ch) """ # initialize with 'InitX': super().__init__(mult=mult) # initialize the MMD estimator: mmd_co_pars = mmd_co_pars or {} mmd_co_pars['mult'] = mult # guarantee this property self.mmd_co = co_factory(mmd_co_name, **mmd_co_pars) def estimation(self, y, ds=None): """ Estimate copula and MMD based kernel dependency. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector, vector of ones If ds is not given (ds=None), the vector of ones [ds = ones(y.shape[1],dtype='int')] is emulated inside the function. Returns ------- i : float Estimated copula and MMD based kernel dependency. References ---------- Barnabas Poczos, Zoubin Ghahramani, Jeff Schneider. Copula-based Kernel Dependency Measures. International Conference on Machine Learning (ICML), 2012. Examples -------- i = co.estimation(y,ds) """ if ds is None: # emulate 'ds = vector of ones' ds = ones(y.shape[1], dtype='int') # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_one_dimensional_subspaces(ds) z = copula_transformation(y) u = rand(z.shape[0], z.shape[1]) i = self.mmd_co.estimation(z, u) return i class MIRenyi_HR(InitAlpha, VerCompSubspaceDims, VerOneDSubspaces): """ Renyi mutual information estimator based on Renyi entropy. The estimation is based on the relation I_{alpha}(X) = -H_{alpha}(Z), where Z =[F_1(X_1);...;F_d(X_d)] is the copula transformation of X, F_i is the cdf of X_i; I_{alpha} is the Renyi mutual information, H_{alpha} is the Renyi entropy. Partial initialization comes from 'InitAlpha', verification is from 'VerCompSubspaceDims' and 'VerOneDSubspaces' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, alpha=0.99, renyi_co_name='BHRenyi_KnnK', renyi_co_pars=None): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) alpha : float, \ne 1 Parameter of the Renyi mutual information. renyi_co_name : str, optional You can change it to any Renyi entropy estimator (default is 'BHRenyi_KnnK'). renyi_co_pars : dictionary, optional Parameters for the Renyi entropy estimator (default is None (=> {}); in this case the default parameter values of the Renyi entropy estimator are used). Examples -------- >>> import ite >>> co1 = ite.cost.MIRenyi_HR() >>> co2 = ite.cost.MIRenyi_HR(renyi_co_name='BHRenyi_KnnK') >>> dict_ch = {'k': 2, 'eps': 0.4} >>> co3 = ite.cost.MIRenyi_HR(renyi_co_name='BHRenyi_KnnK',\ renyi_co_pars=dict_ch) """ # initialize with 'InitAlpha': super().__init__(mult=mult, alpha=alpha) # initialize the Renyi entropy estimator: renyi_co_pars = renyi_co_pars or {} renyi_co_pars['mult'] = mult # guarantee this property renyi_co_pars['alpha'] = alpha # -||- self.renyi_co = co_factory(renyi_co_name, **renyi_co_pars) def estimation(self, y, ds=None): """ Estimate Renyi mutual information. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector, vector of ones If ds is not given (ds=None), the vector of ones [ds = ones(y.shape[1],dtype='int')] is emulated inside the function. Returns ------- i : float Estimated Renyi mutual information. References ---------- David Pal, Barnabas Poczos, Csaba Szepesvari. Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs. Advances in Neural Information Processing Systems (NIPS), pages 1849-1857, 2010. Barnabas Poczos, Sergey Krishner, Csaba Szepesvari. REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization. International Conference on Artificial Intelligence and Statistics (AISTATS), pages 605-612, 2010. Examples -------- i = co.estimation(y,ds) """ if ds is None: # emulate 'ds = vector of ones' ds = ones(y.shape[1], dtype='int') # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_one_dimensional_subspaces(ds) z = copula_transformation(y) i = -self.renyi_co.estimation(z) return i class MIShannon_HS(InitX, VerCompSubspaceDims): """ Shannon mutual information estimator based on Shannon entropy. The estimation is based on the relation I(y^1,...,y^M) = \sum_{m=1}^M H(y^m) - H([y^1,...,y^M]), where I is the Shannon mutual information, H is the Shannon entropy. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, shannon_co_name='BHShannon_KnnK', shannon_co_pars=None): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) shannon_co_name : str, optional You can change it to any Shannon differential entropy estimator (default is 'BHShannon_KnnK'). shannon_co_pars : dictionary, optional Parameters for the Shannon differential entropy estimator (default is None (=> {}); in this case the default parameter values of the Shannon differential entropy estimator are used). Examples -------- >>> import ite >>> co1 = ite.cost.MIShannon_HS() >>> co2 = ite.cost.MIShannon_HS(shannon_co_name='BHShannon_KnnK') >>> dict_ch = {'knn_method': 'cKDTree', 'k': 4, 'eps': 0.1} >>> co3 = ite.cost.MIShannon_HS(shannon_co_name='BHShannon_KnnK',\ shannon_co_pars=dict_ch) """ # initialize with 'InitX': super().__init__(mult=mult) # initialize the Shannon differential entropy estimator: shannon_co_pars = shannon_co_pars or {} shannon_co_pars['mult'] = True # guarantee this property self.shannon_co = co_factory(shannon_co_name, **shannon_co_pars) def estimation(self, y, ds): """ Estimate Shannon mutual information. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated Shannon mutual information. References ---------- Thomas M. Cover, Joy A. Thomas. Elements of Information Theory, John Wiley and Sons, New York, USA (1991). Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) # I = - H([y^1,...,y^M]): i = -self.shannon_co.estimation(y) # I = I + \sum_{m=1}^M H(y^m): idx_start = 0 for k in range(len(ds)): dim_k = ds[k] idx_stop = idx_start + dim_k # print("{0}:{1}".format(idx_start,idx_stop)) i += self.shannon_co.estimation(y[:, idx_start:idx_stop]) idx_start = idx_stop return i class MIDistCov_HSIC(InitX, VerCompSubspaceDims, VerSubspaceNumberIsK): """ Estimate distance covariance from HSIC. The estimation is based on the relation I(y^1,y^2;rho_1,rho_2) = 2 HSIC(y^1,y^2;k), where HSIC stands for the Hilbert-Schmidt independence criterion, y = [y^1; y^2] and k = k_1 x k_2, where k_i-s generates rho_i-s, semimetrics of negative type used in distance covariance. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumberIsK' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, hsic_co_name='BIHSIC_IChol', hsic_co_pars=None): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) hsic_co_name : str, optional You can change it to any HSIC estimator (default is 'BIHSIC_IChol'). hsic_co_pars : dictionary, optional Parameters for the HSIC estimator (default is None (=> {}); in this case the default parameter values of the HSIC estimator are used. Examples -------- >>> import ite >>> from ite.cost.x_kernel import Kernel >>> co1 = ite.cost.MIDistCov_HSIC() >>> co2 = ite.cost.MIDistCov_HSIC(hsic_co_name='BIHSIC_IChol') >>> k = Kernel({'name': 'RBF','sigma': 0.3}) >>> dict_ch = {'kernel': k, 'eta': 1e-3} >>> co3 = ite.cost.MIDistCov_HSIC(hsic_co_name='BIHSIC_IChol',\ hsic_co_pars=dict_ch) """ # initialize with 'InitX': super().__init__(mult=mult) # initialize the HSIC estimator: hsic_co_pars = hsic_co_pars or {} hsic_co_pars['mult'] = mult # guarantee this property self.hsic_co = co_factory(hsic_co_name, **hsic_co_pars) def estimation(self, y, ds): """ Estimate distance covariance. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Length(ds) = 2. Returns ------- i : float Estimated distance covariance. References ---------- Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_subspace_number_is_k(ds, 2) i = 2 * self.hsic_co.estimation(y, ds) return i

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cd_core/runners/lr_schedulers/__init__.py

shinianzhihou/change_detection.pytorch

e365eb1d97ebbce400ffc4230ac0fa063638fe05

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cd_core/runners/lr_schedulers/__init__.py

shinianzhihou/change_detection.pytorch

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cd_core/runners/lr_schedulers/__init__.py

shinianzhihou/change_detection.pytorch

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from .param_schedulers import * from .multiplier_scheduler import MultiplierScheduler

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oscina/__init__.py

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oscina/__init__.py

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oscina/__init__.py

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from .version import __version__ from .ar_surr import ar_surr from .robust_est import robust_est from .shuff_time import lf2012, fsk2013

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iservice/admin.py

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iservice/admin.py

tracyzk/itam

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2018-11-16T08:40:11.000Z

iservice/admin.py

tracyzk/itam

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[ "Artistic-1.0-cl8" ]

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2021-10-18T06:52:55.000Z

from django.contrib import admin # Register your models here. from iservice import models admin.site.register(models.ServiceInfo)

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tests/kyu_6_tests/test_pingpong_service_problem.py

the-zebulan/CodeWars

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2022-03-23T08:44:51.000Z

tests/kyu_6_tests/test_pingpong_service_problem.py

akalynych/CodeWars

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[ "MIT" ]

null

tests/kyu_6_tests/test_pingpong_service_problem.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

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2022-03-31T11:18:27.000Z

import unittest from katas.kyu_6.pingpong_service_problem import service class ServiceTestCase(unittest.TestCase): def test_equals(self): self.assertEqual(service('0:0'), 'first') def test_equals_2(self): self.assertEqual(service('0:5'), 'second') def test_equals_3(self): self.assertEqual(service('3:2'), 'second') def test_equals_4(self): self.assertEqual(service('5:5'), 'first') def test_equals_5(self): self.assertEqual(service('11:11'), 'first') def test_equals_6(self): self.assertEqual(service('14:15'), 'second') def test_equals_7(self): self.assertEqual(service('21:20'), 'first') def test_equals_8(self): self.assertEqual(service('21:22'), 'second')

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src/main/resources/xlrconfig/__init__.py

xebialabs-community/xlr-config-propagation-plugin

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[ "MIT" ]

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src/main/resources/xlrconfig/__init__.py

xebialabs-community/xlr-config-propagation-plugin

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[ "MIT" ]

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src/main/resources/xlrconfig/__init__.py

xebialabs-community/xlr-config-propagation-plugin

9a97deb753729b02d80c6086b3f2206ceb9a9cea

[ "MIT" ]

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def get_parent(path): if '/' in path: return path.rsplit('/', 1)[0] return None def get_name(path): if '/' in path: return path.rsplit('/', 1)[1] return path

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py

Python

sysroot/usr/lib/llvm-11/build/utils/lit/tests/Inputs/shtest-shell/write-to-stderr.py

219-design/sysroot_qt5.15.0_binaries_armv6zk_rpizero_bullseye_gcc10.3

60545a4471090a4c9ffcf207fb5a71831bfc3bb2

[ "MIT" ]

null

sysroot/usr/lib/llvm-11/build/utils/lit/tests/Inputs/shtest-shell/write-to-stderr.py

219-design/sysroot_qt5.15.0_binaries_armv6zk_rpizero_bullseye_gcc10.3

60545a4471090a4c9ffcf207fb5a71831bfc3bb2

[ "MIT" ]

null

sysroot/usr/lib/llvm-11/build/utils/lit/tests/Inputs/shtest-shell/write-to-stderr.py

219-design/sysroot_qt5.15.0_binaries_armv6zk_rpizero_bullseye_gcc10.3

60545a4471090a4c9ffcf207fb5a71831bfc3bb2

[ "MIT" ]

null

#!/usr/bin/env python3 import sys sys.stderr.write("a line on stderr\n") sys.stderr.flush()

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eb253a28c686690754ca5785a38204ba448185a8

72

py

Python

backend/refill/formatters/__init__.py

bd808/refill

950f3720d9cfa56a73d3f761d484951daa1c83bd

[ "BSD-2-Clause" ]

36

2015-03-13T16:17:19.000Z

2021-10-19T17:58:49.000Z

backend/refill/formatters/__init__.py

bd808/refill

950f3720d9cfa56a73d3f761d484951daa1c83bd

[ "BSD-2-Clause" ]

59

2015-02-26T13:28:05.000Z

2021-08-31T16:37:02.000Z

backend/refill/formatters/__init__.py

bd808/refill

950f3720d9cfa56a73d3f761d484951daa1c83bd

[ "BSD-2-Clause" ]

32

2015-02-26T10:02:08.000Z

2021-09-05T16:10:24.000Z

from .citetemplate import CiteTemplate from .plainlink import Plainlink

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eb35ed35f123d61a760a3ddb5340026b05203884

229

py

Python

utils/Inception.py

MrRiahi/Convolutional-Neural-Networks

e15b93376da83af89df672982f81475bf541c8cf

[ "MIT" ]

5

2021-11-21T17:24:50.000Z

2022-03-13T13:07:02.000Z

utils/Inception.py

MrRiahi/Convolutional-Neural-Networks

e15b93376da83af89df672982f81475bf541c8cf

[ "MIT" ]

null

utils/Inception.py

MrRiahi/Convolutional-Neural-Networks

e15b93376da83af89df672982f81475bf541c8cf

[ "MIT" ]

null

class GoogLeNet: def __init__(self, input_shape, classes): self.input_shape = input_shape self.classes = classes @staticmethod def _inception_block(filters, filter_size, pooling_size): pass

20.818182

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null

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5

eb434795d787aee6bc2d237e8ceeceee46444175

43

py

Python

tests/pages/__init__.py

priformaggio/poc_calculator_python

7b78465de685a6f427a0bcbdd4f867c21097d0c7

[ "Apache-2.0" ]

2

2018-01-23T09:00:47.000Z

2021-02-24T22:36:26.000Z

tests/pages/__init__.py

priformaggio/poc_calculator_python

7b78465de685a6f427a0bcbdd4f867c21097d0c7

[ "Apache-2.0" ]

null

tests/pages/__init__.py

priformaggio/poc_calculator_python

7b78465de685a6f427a0bcbdd4f867c21097d0c7

[ "Apache-2.0" ]

1

2018-01-23T09:01:11.000Z

from calculator_page import CalculatorPage

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de2da9e0df3f0e237127d71c400f518f772195f1

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py

Python

c0banAPI/__init__.py

dc-aichara/c0banAPI

8a0f52be6d4b54416d6327ee81ad7ab8d3d0532d

[ "MIT" ]

null

c0banAPI/__init__.py

dc-aichara/c0banAPI

8a0f52be6d4b54416d6327ee81ad7ab8d3d0532d

[ "MIT" ]

null

c0banAPI/__init__.py

dc-aichara/c0banAPI

8a0f52be6d4b54416d6327ee81ad7ab8d3d0532d

[ "MIT" ]

null

from .api import c0banAPI from .tradingapi import c0banTrade

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1

0

1

0

1

0

5

deb3fe1e28ef0c568d810767a0f4ddc0b2990fc2

73

py

Python

ewre.py

mykhailo-leontiev/for-python

5452f19c9f3151e6d467e6f2412180697e2e3ecd

[ "MIT" ]

null

ewre.py

mykhailo-leontiev/for-python

5452f19c9f3151e6d467e6f2412180697e2e3ecd

[ "MIT" ]

null

ewre.py

mykhailo-leontiev/for-python

5452f19c9f3151e6d467e6f2412180697e2e3ecd

[ "MIT" ]

null

def lol (): while True: print ("Учитель лох") print (lol ())

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null

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dee67c1b154429aea30975ed97ec7e0a4878d016

153

py

Python

app/auth/__init__.py

elmaghallawy/ManAudio-API

4945530081f12a90e4e431f0a60bafaa33430f5d

[ "MIT" ]

null

app/auth/__init__.py

elmaghallawy/ManAudio-API

4945530081f12a90e4e431f0a60bafaa33430f5d

[ "MIT" ]

null

app/auth/__init__.py

elmaghallawy/ManAudio-API

4945530081f12a90e4e431f0a60bafaa33430f5d

[ "MIT" ]

null

from flask import Blueprint auth = Blueprint('auth', __name__) # we import auth views here to avoid circular dependancy issues from . import views

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defa2467fe779b0b29f5bc2d45f8c5d745705f3e

232

py

Python

GUI/QThread_PyQT/gui/render_engine.py

mariusvrstr/PythonExamples

14db4886ac2602fb93db09cc39b69449a0cde672

[ "MIT" ]

null

GUI/QThread_PyQT/gui/render_engine.py

mariusvrstr/PythonExamples

14db4886ac2602fb93db09cc39b69449a0cde672

[ "MIT" ]

null

GUI/QThread_PyQT/gui/render_engine.py

mariusvrstr/PythonExamples

14db4886ac2602fb93db09cc39b69449a0cde672

[ "MIT" ]

null

from PyQt5.QtCore import Qt from PyQt5.QtWidgets import (QLabel, QPushButton, QVBoxLayout, QWidget) class RenderEngine(): def setup_gui(self): ## Too many logical relationships / need to seperate to work. pass

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5

72018e1d58ede7aef74b3c8b40b8ac027442ffcd

4,929

py

Python

RL_monitor.py

apeduto32/RL-SimpleProject

956ed0dcd4e9de17632db4facb16c7d605f628da

[ "MIT" ]

null

RL_monitor.py

apeduto32/RL-SimpleProject

956ed0dcd4e9de17632db4facb16c7d605f628da

[ "MIT" ]

5

2021-05-24T19:44:14.000Z

2021-07-17T15:59:28.000Z

RL_monitor.py

apeduto32/github-upload

956ed0dcd4e9de17632db4facb16c7d605f628da

[ "MIT" ]

null

from collections import deque import sys import math import numpy as np def interact(env, agent, num_episodes=20000): """ Monitor agent's performance. Params ====== - env (obj): instance of the class MazeEnvironment - agent (obj): instance of class MazeAgent - num_episodes (int): number of episodes of agent-environment interaction Returns ======= - returns: deque containing return of each episode """ # Initialize a deque to save the average of rewards for each episode required returns = deque(maxlen=num_episodes) # for each episode for i_episode in range(1, num_episodes+1): # start it, getting the initial state of agent state = env.reset() # Update window of environment env.render() # get first action of agent action = agent.start(state) # initialize the sampled return sample_return = 0. while True: # apply the actio choosen by agent (reward, next_state, done) = env.step(action) # update window env.render() # update the sampled return sample_return += reward # update the state (s <- s') to next time step state = next_state # Check if the signal of termination is True if done: # Execute the last update of q-values and policy inside of agent agent.end(reward) # save sample_return in returns returns.append(sample_return) break # otherwise else: # get the next action and update the q-values and policy inside of agent action = agent.step(reward, next_state) # monitor progress print("\rEpisode {}/{} || return: {}".format(i_episode, num_episodes, sample_return), end="") sys.stdout.flush() if i_episode == num_episodes: print('\n') # close window env.close_window() return returns def interact_without_showing(env, agent, num_episodes=20000, window_episodes=100): """ Monitor agent's performance. Params ====== - env (obj): instance of the class MazeEnvironment - agent (obj): instance of class MazeAgent - num_episodes (int): number of episodes of agent-environment interaction Returns ======= - returns: deque containing return of each episode """ # Initialize a deque to save the average of rewards for each episode required returns = deque(maxlen=num_episodes) # for each episode for i_episode in range(1, num_episodes+1): # start it, getting the initial state of agent state = env.reset() # get first action of agent action = agent.start(state) # initialize the sampled return sample_return = 0. while True: # apply the actio choosen by agent (reward, next_state, done) = env.step(action) # update the sampled return sample_return += reward # update the state (s <- s') to next time step state = next_state # Check if the signal of termination is True if done: # Execute the last update of q-values and policy inside of agent agent.end(reward) # save sample_return in returns returns.append(sample_return) break # otherwise else: # get the next action and update the q-values and policy inside of agent action = agent.step(reward, next_state) # monitor progress print("\rEpisode {}/{} || return: {}".format(i_episode, num_episodes, sample_return), end="") sys.stdout.flush() if i_episode == num_episodes: print('\n') # close window env.close_window() return returns # Test function def main(): # import MazeEnvironment and MazeAgent from MazeEnvironment import MazeEnvironment from MazeAgents import MazeQAgent import matplotlib.pyplot as plt # Define maze environment height = 6 width = 6 env_info = {'height':height, 'width':width, 'start_loc':(0,0),'goal_loc':(5,5), 'obstacles':[(2,2),(3,3)]} mazeEnv = MazeEnvironment(env_info) # define maze agent num_states = height*width num_actions = 9 agent_info = {'num_states':num_states, 'num_actions':num_actions} qAgent = MazeQAgent(agent_info) # Execute episodes of interactions agent-environment num_episodes = 3000 returns = interact(mazeEnv, qAgent, num_episodes) # plot result x = np.arange(1, num_episodes+1) # item number of episodes y = returns # average of returns from the window_episodes-th episode plt.plot(x,y) plt.xlabel('Number of Episodes') plt.ylabel('Avg Returns') plt.show() if __name__ == '__main__': main()

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9d048c362c50dd2f5c439615cbd03b4145a7d78c

2,229

py

Python

xinshuo_images/test/image_processing/test_image_concatenate.py

xinshuoweng/cv_ml_tool

1918b9e37ec5fb8148b8a089f226a4864d67b153

[ "MIT" ]

31

2020-03-05T12:27:21.000Z

2022-03-07T04:00:18.000Z

xinshuo_images/test/image_processing/test_image_concatenate.py

xinshuoweng/cv_ml_tool

1918b9e37ec5fb8148b8a089f226a4864d67b153

[ "MIT" ]

null

xinshuo_images/test/image_processing/test_image_concatenate.py

xinshuoweng/cv_ml_tool

1918b9e37ec5fb8148b8a089f226a4864d67b153

[ "MIT" ]

12

2020-07-06T05:06:58.000Z

2021-11-18T14:43:20.000Z

# Author: Xinshuo Weng # email: xinshuo.weng@gmail.com from PIL import Image import numpy as np import init_paths from image_processing import image_concatenate from xinshuo_visualization import visualize_image def test_image_concatenate(): image_path = '../lena.png' image = np.array(Image.open(image_path).convert('RGB')) print('test a single image') target_size = [600, 600] image_concatenated = image_concatenate(image, target_size=target_size) visualize_image(image_concatenated, vis=True) print('test multiple images') image_list = [image, image, image, image, image, image, image] image_all = np.stack(image_list, axis=0) target_size = [1200, 1800] image_concatenated = image_concatenate(image_all, target_size=target_size) visualize_image(image_concatenated, vis=True) print('test multiple images with grid size') image_list = [image, image, image, image, image, image, image] image_all = np.stack(image_list, axis=0) target_size = [600, 3600] image_concatenated = image_concatenate(image_all, target_size=target_size, grid_size=[1, 7]) visualize_image(image_concatenated, vis=True) print('test multiple images with grid size') image_list = [image, image, image, image, image, image, image] image_all = np.stack(image_list, axis=0) target_size = [1800, 300] image_concatenated = image_concatenate(image_all, target_size=target_size, grid_size=[7, 1]) visualize_image(image_concatenated, vis=True) print('test multiple images with edge factor') image_list = [image, image, image, image, image, image, image] image_all = np.stack(image_list, axis=0) target_size = [1200, 1800] image_concatenated = image_concatenate(image_all, target_size=target_size, edge_factor=0.5) visualize_image(image_concatenated, vis=True) print('test multiple grayscale images') image_grayscale = np.array(Image.open(image_path).convert('L')) image_list = [image_grayscale, image_grayscale] image_all = np.expand_dims(np.stack(image_list, axis=0), axis=3) # NHW1 target_size = [1200, 1800] image_concatenated = image_concatenate(image_all, target_size=target_size) visualize_image(image_concatenated, vis=True) print('\n\nDONE! SUCCESSFUL!!\n') if __name__ == '__main__': test_image_concatenate()

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9d140cef42642371f3db85de3fe8a1ba763d6e04

22,608

py

Python

main.py

Daggy1234/oldapi

6f237a8ebd6a9ae4a4efc87cce0819210ff58e54

[ "Apache-2.0" ]

1

2020-06-13T10:26:37.000Z

main.py

Daggy1234/dagbotapi

6f237a8ebd6a9ae4a4efc87cce0819210ff58e54

[ "Apache-2.0" ]

3

2021-06-08T21:45:20.000Z

2022-01-13T02:51:05.000Z

main.py

Daggy1234/oldapi

6f237a8ebd6a9ae4a4efc87cce0819210ff58e54

[ "Apache-2.0" ]

null

from fastapi import FastAPI,Header import aiohttp from fastapi.responses import StreamingResponse,JSONResponse,RedirectResponse from io import BytesIO from PIL import Image,ImageDraw,ImageFont,ImageEnhance,ImageOps,ImageFilter,ImageSequence import wand.image as wi import praw from functools import partial import asyncio app = FastAPI() async def checktoken(tok): if str(tok) == 'sexytoken123#': return(True) async def getimg(url): async with aiohttp.ClientSession() as session: async with session.get(url) as r: print(r) if r.status == 200: # imgf = await aiofiles.open(f'avatar{name}.png', mode='wb') byt = await r.read() return(byt) # await imgf.close() else: return False del r def getsepia(image: BytesIO): io =BytesIO(image) io.seek(0) with wi.Image() as dst_image: with wi.Image(blob=io) as src_image: for frame in src_image.sequence: frame.sepia_tone(threshold=0.8) dst_image.sequence.append(frame) bts = dst_image.make_blob() i = BytesIO(bts) i.seek(0) return(i) def getwasted(image: BytesIO): io = BytesIO(image) io.seek(0) with wi.Image() as dst_image: with wi.Image(blob=io) as src_image: for frame in src_image.sequence: frame.transform_colorspace('gray') dst_image.sequence.append(frame) bts = dst_image.make_blob() i = BytesIO(bts) i.seek(0) im = Image.open(i) fil = Image.open('wasted.png') w, h = im.size filr = fil.resize((w, h), 5) flist = [] for frame in ImageSequence.Iterator(im): ci = im.convert('RGBA') ci.paste(filr, mask=filr) flist.append(ci) retimg = BytesIO() flist[0].save(retimg,format='gif', save_all=True, append_images=flist) retimg.seek(0) return(retimg) def getgay(image:BytesIO): io = BytesIO(image) io.seek(0) with Image.open(io) as im: flist = [] w, h = im.size fil = Image.open('gayfilter.png') filr = fil.resize((w, h), 5) for frame in ImageSequence.Iterator(im): ci = frame.convert('RGBA') ci.paste(filr, mask=filr) ci.show() flist.append(ci) retimg = BytesIO() flist[0].save(retimg, format='gif', save_all=True, append_images=flist) retimg.seek(0) return (retimg) def getcharc(image: BytesIO): io =BytesIO(image) io.seek(0) with wi.Image() as dst_image: with wi.Image(blob=io) as src_image: for frame in src_image.sequence: frame.transform_colorspace("gray") frame.sketch(0.5, 0.0, 98.0) dst_image.sequence.append(frame) bts = dst_image.make_blob() i = BytesIO(bts) i.seek(0) return(i) def getpaint(image: BytesIO): io =BytesIO(image) io.seek(0) with wi.Image() as dst_image: with wi.Image(blob=io) as src_image: for frame in src_image.sequence: frame.oil_paint(sigma=3) dst_image.sequence.append(frame) bts = dst_image.make_blob() i = BytesIO(bts) i.seek(0) return(i) def getpixel(image: BytesIO): io =BytesIO(image) io.seek(0) with Image.open(io) as t: flist = [] for frame in ImageSequence.Iterator(t): imgSmall = frame.resize((32, 32), resample=Image.BILINEAR) fim = imgSmall.resize(frame.size, Image.NEAREST) flist.append(fim) retimg = BytesIO() flist[0].save(retimg, format='gif', save_all=True, append_images=flist[1:]) retimg.seek(0) return(retimg) def getinvert(image: BytesIO): io =BytesIO(image) io.seek(0) with Image.open(io) as t: flist = [] for frame in ImageSequence.Iterator(t): blurred_image = ImageOps.invert(frame) flist.append(blurred_image) retimg = BytesIO() flist[0].save(retimg, format='gif', save_all=True, append_images=flist[1:]) retimg.seek(0) return(retimg) def getblur(image: BytesIO): io =BytesIO(image) io.seek(0) with Image.open(io) as t: flist = [] for frame in ImageSequence.Iterator(t): blurred_image = t.filter(ImageFilter.BLUR) flist.append(blurred_image) retimg = BytesIO() flist[0].save(retimg, format='gif', save_all=True, append_images=flist[1:]) retimg.seek(0) return(retimg) def gethitler(image: BytesIO): with Image.open(BytesIO(image)) as t: im = Image.open('hitler.jpg') wthf = t.resize((260, 300), 5) width = 800 height = 600 fim = im.resize((width, height), 4) area = (65, 40) fim.paste(wthf, area) retimg = BytesIO() fim.save(retimg, 'png') retimg.seek(0) return (retimg) def getsatan(image: BytesIO): with Image.open(BytesIO(image)) as t: im = Image.open('satan.jpg') wthf = t.resize((400, 225), 5) width = 800 height = 600 fim = im.resize((width, height), 4) area = (250, 100) fim.paste(wthf, area) retimg = BytesIO() fim.save(retimg, 'png') retimg.seek(0) return (retimg) def getwanted(image: BytesIO): with Image.open(BytesIO(image)) as av: im = Image.open('wanted.png') tp = av.resize((800, 800), 0) im.paste(tp, (200, 450)) retimg = BytesIO() im.save(retimg, 'png') retimg.seek(0) return (retimg) def getsithorld(image: BytesIO): with Image.open(BytesIO(image)) as ft: im = Image.open('sithlord.jpg') topa = ft.resize((250, 275), 5) size = (225, 225) mask = Image.new('L', size, 0) draw_mask = ImageDraw.Draw(mask) draw_mask.ellipse((50, 10) + size, fill=255) topt = ImageOps.fit(topa, mask.size, centering=(0.5, 0.5)) im.paste(topt, (225, 180), mask=mask) retimg = BytesIO() im.save(retimg, 'png') retimg.seek(0) return (retimg) def gettrash(image: BytesIO): with Image.open(BytesIO(image)) as t: im = Image.open('trash.jpg') wthf = t.resize((200, 150), 5) width = 800 height = 600 fim = im.resize((width, height), 4) area = (500, 250) fim.paste(wthf, area) retimg = BytesIO() fim.save(retimg, 'png') retimg.seek(0) return (retimg) def getthoughtimg(image: BytesIO, text): with Image.open(BytesIO(image)) as ft: im = Image.open('speech.jpg') file = str(text) if len(file) > 200: return (f'Your text is too long {len(file)} is greater than 200') else: if len(file) > 151: fo = file[:50] + '\n' + file[50:] ft = fo[:100] + '\n' + fo[100:] ff = ft[:150] + '\n' + ft[150:] size = 10 elif len(file) > 101: fo = file[:50] + '\n' + file[50:] ff = fo[:100] + '\n' + fo[100:] size = 12 elif len(file) > 51 and len(file) < 100: ff = file[:50] + '\n' + file[50:] size = 14 elif len(file) > 20 and len(file) <= 50: ff = file size = 18 else: ff = file size = 25 wthf = ft.resize((200, 225), 5) width = 800 height = 600 fim = im.resize((width, height), 4) area = (125, 50) fim.paste(wthf, area) base = fim.convert('RGBA') txt = Image.new('RGBA', base.size, (255, 255, 255, 0)) fnt = ImageFont.truetype('Helvetica-Bold-Font.ttf', size) d = ImageDraw.Draw(txt) d.text((400, 150), f"{ff}", font=fnt, fill=(0, 0, 0, 255)) out = Image.alpha_composite(base, txt) retimg = BytesIO() out.save(retimg, 'png') retimg.seek(0) return (retimg) def badimg(image : BytesIO): io = BytesIO(image) io.seek(0) with Image.open(BytesIO(image)) as im: back = Image.open('bad.png') t = im.resize((200, 200), 5) back.paste(t, (20, 150)) bufferedio = BytesIO() back.save(bufferedio, format="PNG") bufferedio.seek(0) return (bufferedio) def getangel(image: BytesIO): with Image.open(BytesIO(image)) as t: im = Image.open('angel.jpg') wthf = t.resize((300, 175), 5) width = 800 height = 600 fim = im.resize((width, height), 4) area = (250, 130) fim.paste(wthf, area) bufferedio = BytesIO() fim.save(bufferedio, format="PNG") bufferedio.seek(0) return (bufferedio) @app.get("/") def read_root(): return {"Hello": "World"} @app.post('/api/wanted') async def wanted(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getwanted,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/png") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/bad') async def bad(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return ('Error') else: img = badimg(byt) return StreamingResponse(img, media_type="image/png") else: return ('Invalid token') # @app.post('/api/deepfry') # async def deepfry(token: str = Header(None),url:str = Header(None)): # # r = await checktoken(token) # if r: # byt = await getimg(url) # if byt == False: # return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) # else: # fn = partial(get,byt) # loop = asyncio.get_event_loop() # img = await loop.run_in_executor(None,fn) # if isinstance(img,BytesIO): # return StreamingResponse(img, status_code=200,media_type="image/png") # # else: # return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) # else: # return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/hitler') async def hitler(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(gethitler,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/png") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/thoughtimage') async def thoughtimage(token: str = Header(None),url:str = Header(None),text:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getthoughtimg,byt,text) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/png") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/angel') async def angel(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getangel,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/png") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.get('/api') async def redirecttodocs(): return RedirectResponse(url='/redoc') @app.get('/server') async def serverredirect(): return RedirectResponse(url='https://discord.gg/4R72Pks') @app.get('/wrappers') async def comiongsoon(): return JSONResponse(status_code=404,content={"In the works":"Wrappers soon"}) @app.post('/api/trash') async def trash(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(gettrash,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/png") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/satan') async def satan(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getsatan,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/png") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/paint') async def paint(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getpaint,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/gif") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/evil') async def evil(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getsithorld,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/png") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/blur') async def blur(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getblur,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/gif") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/invert') async def invert(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getinvert,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/gif") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) #uvicorn main:app --reload @app.post('/api/pixel') async def pixel(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getpixel,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/gif") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/sepia') async def sepia(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getsepia,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/gif") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/wasted') async def wasted(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getwasted,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/gif") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/gay') async def gay(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getgay,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/gif") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'}) @app.post('/api/charcoal') async def charcoal(token: str = Header(None),url:str = Header(None)): r = await checktoken(token) if r: byt = await getimg(url) if byt == False: return JSONResponse(status_code=400,content={'error':"We were unable to use the link your provided"}) else: fn = partial(getcharc,byt) loop = asyncio.get_event_loop() img = await loop.run_in_executor(None,fn) if isinstance(img,BytesIO): return StreamingResponse(img, status_code=200,media_type="image/gif") else: return JSONResponse(status_code=500,content={"error":"The Image manipulation had a small"}) else: return JSONResponse(status_code=401,content={'error':'Invalid token'})

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0.001838

0

null

0

1

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null

0

5

9d1da9467ff4221ee3c70c87b5f577968995accc

75

py

Python

app/core/console/__init__.py

cPoolChia/ChiaAutoplotter-Worker

7368396bda018a5adedef74173aba7b6f8f0eccc

[ "MIT" ]

2

2021-06-02T08:19:27.000Z

2021-06-02T09:53:11.000Z

app/core/console/__init__.py

cPoolChia/ChiaAutoplotter-Worker

7368396bda018a5adedef74173aba7b6f8f0eccc

[ "MIT" ]

null

app/core/console/__init__.py

cPoolChia/ChiaAutoplotter-Worker

7368396bda018a5adedef74173aba7b6f8f0eccc

[ "MIT" ]

null

from .base import BaseCommandExecutor from .executor import CommandExecutor

37.5

37

0.88

8

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8.25

0.75

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0.093333

75

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38

37.5

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true

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1

0

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1

0

null

0

1

0

1

0

1

0

5

9d274ba249c2789bd114a901fdec65ad8cefd677

200

py

Python

lib/exception/exceptions.py

dev1x-org/python-example

ad6b100d87d1ba8d5b77f160854dd3c387ded222

[ "MIT" ]

null

lib/exception/exceptions.py

dev1x-org/python-example

ad6b100d87d1ba8d5b77f160854dd3c387ded222

[ "MIT" ]

null

lib/exception/exceptions.py

dev1x-org/python-example

ad6b100d87d1ba8d5b77f160854dd3c387ded222

[ "MIT" ]

null

#coding:utf-8 class ProjectNotFoundError(Exception): pass class TaskNotFoundError(Exception): pass class UserNotFoundError(Exception): pass class ApplicationError(Exception): pass

14.285714

38

0.76

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0.526316

0.342105

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true

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1

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null

1

0

null

0

1

0

5

9d3602e230f917fb14876069df4506b9f38229ce

166

py

Python

articles/admin.py

CASDON-MYSTERY/studentapp

0fd942e963a10a02a6c9f358dd362cfd646eecc3

[ "MIT" ]

null

articles/admin.py

CASDON-MYSTERY/studentapp

0fd942e963a10a02a6c9f358dd362cfd646eecc3

[ "MIT" ]

null

articles/admin.py

CASDON-MYSTERY/studentapp

0fd942e963a10a02a6c9f358dd362cfd646eecc3

[ "MIT" ]

null

from django.contrib import admin from .models import Article, Sub_Section # Register your models here. admin.site.register(Article) admin.site.register(Sub_Section)

27.666667

41

0.819277

24

166

5.583333

0.541667

0.149254

0.253731

0

0.10241

166

6

42

27.666667

0.899329

0.156627

0

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true

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null

0

1

0

1

0

null

0

1

0

1

0

5

c214e9bf4eda800be60cc81062bde7415a4ecff0

111

py

Python

pokeapi/api/database/schemas/__init__.py

QU3B1M/Go-and-Python-MicroMonsters

82343456a619893fe395ba46e8dd06f1ad13b7be

[ "MIT" ]

null

pokeapi/api/database/schemas/__init__.py

QU3B1M/Go-and-Python-MicroMonsters

82343456a619893fe395ba46e8dd06f1ad13b7be

[ "MIT" ]

null

pokeapi/api/database/schemas/__init__.py

QU3B1M/Go-and-Python-MicroMonsters

82343456a619893fe395ba46e8dd06f1ad13b7be

[ "MIT" ]

null

from .pokemon import Pokemon from .poketype import PokeType from .pokemove import PokeMove, PokeMoveCategories

27.75

50

0.846847

13

111

7.230769

0.461538

0

0.117117

111

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51

37

0.959184

0

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true

0

1

0

1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

dfbec9387ce176b23bdf8875bbc84b50f633d7f2

1,145

py

Python

app/viewsets.py

Rainlv/next-server

59e97ae2bc42d6da08b9e17d75810541f8caa3d9

[ "MIT" ]

null

app/viewsets.py

Rainlv/next-server

59e97ae2bc42d6da08b9e17d75810541f8caa3d9

[ "MIT" ]

null

app/viewsets.py

Rainlv/next-server

59e97ae2bc42d6da08b9e17d75810541f8caa3d9

[ "MIT" ]

null

from rest_framework.viewsets import ModelViewSet from app.response import SuccessResponse class ModelViewSetWithCustomResponse(ModelViewSet): def create(self, request, *args, **kwargs): response = super(ModelViewSetWithCustomResponse, self).create(request, *args, **kwargs) return SuccessResponse.wrap_response(response) def retrieve(self, request, *args, **kwargs): response = super(ModelViewSetWithCustomResponse, self).retrieve(request, *args, **kwargs) return SuccessResponse.wrap_response(response) def update(self, request, *args, **kwargs): response = super(ModelViewSetWithCustomResponse, self).update(request, *args, **kwargs) return SuccessResponse.wrap_response(response) def destroy(self, request, *args, **kwargs): response = super(ModelViewSetWithCustomResponse, self).destroy(request, *args, **kwargs) return SuccessResponse.wrap_response(response) def list(self, request, *args, **kwargs): response = super(ModelViewSetWithCustomResponse, self).list(request, *args, **kwargs) return SuccessResponse.wrap_response(response)

45.8

97

0.732751

109

1,145

7.642202

0.220183

0.132053

0.204082

0.12605

0.770708

0.292917

0

0.158079

1,145

25

98

45.8

0.864108

0

0.277778

0

1

0.277778

false

0

0.111111

0

0.722222

0

null

0

1

0

1

0

null

0

1

0

5

dfca49bf33349ea6f966a549e7abc1a4d145a572

115

py

Python

cookbook/deployment/cluster/productionize_cluster.py

mayitbeegh/flytesnacks

35fe9db45f08fce3d94923b4245b1a9980a915ef

[ "Apache-2.0" ]

null

cookbook/deployment/cluster/productionize_cluster.py

mayitbeegh/flytesnacks

35fe9db45f08fce3d94923b4245b1a9980a915ef

[ "Apache-2.0" ]

null

cookbook/deployment/cluster/productionize_cluster.py

mayitbeegh/flytesnacks

35fe9db45f08fce3d94923b4245b1a9980a915ef

[ "Apache-2.0" ]

null

""" Productionize Your Flyte Cluster -------------------------------------------- .. NOTE:: Coming soon 🛠 """

14.375

44

0.373913

8

115

5.5

1

0

0.147826

115

8

45

14.375

0.438776

0.930435

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

dfdff9cf18b81b2f728008d17d2c465ec4c769de

6,448

py

Python

pywca/competition.py

MysteryBlokHed/PyWCA

457afffe3355d84a26fc1090f035def843b532a8

[ "MIT" ]

null

pywca/competition.py

MysteryBlokHed/PyWCA

457afffe3355d84a26fc1090f035def843b532a8

[ "MIT" ]

null

pywca/competition.py

MysteryBlokHed/PyWCA

457afffe3355d84a26fc1090f035def843b532a8

[ "MIT" ]

null

# Created by Adam Thompson-Sharpe on 12/03/2020. class CompetitionMin(object): """ A minimal Competition object. `name: str` - The name of the competition. `url: str` - The url of the competition on the WCA website. `geo_location: str` - The city/country of the competition (eg. Columbus, Ohio, United States) `venue: str` - The venue the competition is/was at. `date: str` - The date of the competition, formatted as Month Day, Year, or Month Day - Day, Year (eg. Mar 14, 2020, Mar 13 - 15, 2020) `venue_site: str` - The website of the competition venue (NOT the address map link) """ def __init__(self, name: str, url: str, geo_location: str, venue: str, date: str, venue_site: str=None): # Check types if type(name) is not str: raise TypeError(f"Expected str for name, got {type(name).__name__}.") if type(url) is not str: raise TypeError(f"Expected str for url, got {type(name).__name__}.") if type(geo_location) is not str: raise TypeError(f"Expected str for geo_location, got {type(geo_location).__name__}.") if type(venue) is not str: raise TypeError(f"Expected str for venue, got {type(venue).__name__}.") if type(date) is not str: raise TypeError(f"Expected str for date, got {type(date).__name__}.") if type(venue_site) not in (str, type(None)): raise TypeError(f"Expected str for venue_site, got {type(venue_site).__name__}.") # Set variables self._name = name self._url = url self._geo_location = geo_location self._venue = venue self._date = date self._venue_site = venue_site def __getitem__(self, key: str): if key == "name": return self._name elif key == "url": return self._url elif key == "geo_location": return self._geo_location elif key == "venue": return self._venue elif key == "date": return self._date elif key == "venue_site": return self._venue_site else: raise KeyError(key) class Competition(object): """ A detailed Competition object. `name: str` - The name of the competition. `url: str` - The url of the competition on the WCA website. `geo_location: str` - The city/country of the competition (eg. Columbus, Ohio, United States) `venue: str` - The venue the competition is/was at. `date: str` - The date of the competition, formatted as Month Day, Year, or Month Day - Day, Year (eg. Mar 14, 2020, Mar 13 - 15, 2020) `address: str` - The address of the venue for the competition. `address_map_link: str` - The Google Maps link to the address. `organizers: str` - The organizers of the competition (eg. `"John Doe, Jack Doe and Jack"`, `"Lorem Ipsum"`) `delegates: str` - The WCA delegates at the competition (eg. `"John Doe, Jack Doe and Jack"`, `"Lorem Ipsum"`) `events: list` - The events at the competition (eg. `["3x3x3 Cube", "3x3x3 Blindfolded"]`) `main_event: str` - The main event at the competition (if one is listed) (eg. `"3x3x3 Cube"`) `venue_site: str` - The website of the competition venue (NOT the address map link) """ def __init__(self, name: str, url: str, geo_location: str, venue: str, date: str, address: str, address_map_link: str, organizers: str, delegates: str, events: list, main_event: str=None, venue_site: str=None): # Check types if type(name) is not str: raise TypeError(f"Expected str for name, got {type(name).__name__}.") if type(url) is not str: raise TypeError(f"Expected str for url, got {type(url).__name__}.") if type(geo_location) is not str: raise TypeError(f"Expected str for geo_location, got {type(geo_location).__name__}.") if type(venue) is not str: raise TypeError(f"Expected str for venue, got {type(venue).__name__}.") if type(date) is not str: raise TypeError(f"Expected str for date, got {type(date).__name__}.") if type(address) is not str: raise TypeError(f"Expected str for address, got {type(address).__name__}.") if type(address_map_link) is not str: raise TypeError(f"Expected str for address_map_link, got {type(address_map_link).__name__}.") if type(organizers) is not str: raise TypeError(f"Expected str for organizers, got {type(organizers).__name__}.") if type(delegates) is not str: raise TypeError(f"Expected str for delegates, got {type(delegates).__name__}.") if type(events) is not list: raise TypeError(f"Expected list for events, got {type(events).__name__}.") if type(main_event) not in (str, type(None)): raise TypeError(f"Expected str for main_event, got {type(main_event).__name__}.") if type(venue_site) not in (str, type(None)): raise TypeError(f"Expected str for venue_site, got {type(venue_site).__name__}.") # Set variables self._name = name self._url = url self._geo_location = geo_location self._venue = venue self._date = date self._address = address self._address_map_link = address_map_link self._organizers = organizers self._delegates = delegates self._events = events self._main_event = main_event self._venue_site = venue_site def __getitem__(self, key: str): if key == "name": return self._name elif key == "url": return self._url elif key == "geo_location": return self._geo_location elif key == "venue": return self._venue elif key == "date": return self._date elif key == "address": return self._address elif key == "address_map_link": return self._address_map_link elif key == "organizers": return self._organizers elif key == "delegates": return self._delegates elif key == "events": return self._events elif key == "main_event": return self._main_event elif key == "venue_site": return self._venue_site else: raise KeyError(key)

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0

1

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null

0

5

5f076e07351d50294ca24c919b5e118977ec5a04

329

py

Python

tests/test_A000121.py

TimothyDJones/oeis

d9d608bc32ee31c73c139e1b68e4eb6315205e8d

[ "MIT" ]

21

2020-03-21T17:50:13.000Z

2022-01-18T01:52:47.000Z

tests/test_A000121.py

TimothyDJones/oeis

d9d608bc32ee31c73c139e1b68e4eb6315205e8d

[ "MIT" ]

296

2019-11-18T14:04:36.000Z

2022-03-27T21:59:24.000Z

tests/test_A000121.py

TimothyDJones/oeis

d9d608bc32ee31c73c139e1b68e4eb6315205e8d

[ "MIT" ]

29

2019-11-18T11:56:22.000Z

2022-03-26T22:31:57.000Z

from oeis import A000121 def test_A000121(): assert A000121[0:20] == [ 1, 2, 2, 3, 3, 3, 4, 3, 4, 5, 4, 5, 4, 4, 6, 5, 6, 6, 5, 6, ]

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null

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5

5f31b12bd0a16df0ed26e698fa0d50188bdab54e

560

py

Python

ai_transformersx/data/dataprocessor.py

aicanhelp/ai-transformers

fa30031fa7360ee6d4fd3d016a3c81a23cfe8af1

[ "MIT" ]

1

2020-08-03T12:59:20.000Z

ai_transformersx/data/dataprocessor.py

aicanhelp/ai-transformers

fa30031fa7360ee6d4fd3d016a3c81a23cfe8af1

[ "MIT" ]

null

ai_transformersx/data/dataprocessor.py

aicanhelp/ai-transformers

fa30031fa7360ee6d4fd3d016a3c81a23cfe8af1

[ "MIT" ]

null

class DataProcessor: """Base class for data converters for sequence classification data sets.""" def get_train_examples(self): """Gets a collection of `InputExample`s for the train set.""" raise NotImplementedError() def get_dev_examples(self): """Gets a collection of `InputExample`s for the dev set.""" raise NotImplementedError() def get_labels(self): """Gets the list of labels for this data set.""" raise NotImplementedError() def data_dir(self): raise NotImplementedError()

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5

a05a327da68b7c377f50dd77a5ad794aafd98fca

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py

Python

src/abaqus/Material/TestData/PlanarTestDataArray.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/Material/TestData/PlanarTestDataArray.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/Material/TestData/PlanarTestDataArray.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

from .PlanarTestData import PlanarTestData class PlanarTestDataArray(list[PlanarTestData]): def findAt(self): pass

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null

0

1

0

1

0

1

0

5

a07130c3994f8827e0a1eb5cc952a9584790591e

313

py

Python

rtamt/exception/stl/exception.py

xiaoyaooo/rtamt

edb7bf664720c52e9d70920102c450b1f593af95

[ "BSD-3-Clause" ]

24

2019-12-04T00:20:16.000Z

2022-03-24T17:48:14.000Z

rtamt/exception/stl/exception.py

xiaoyaooo/rtamt

edb7bf664720c52e9d70920102c450b1f593af95

[ "BSD-3-Clause" ]

142

2020-01-16T15:36:21.000Z

2022-03-28T20:40:45.000Z

rtamt/exception/stl/exception.py

xiaoyaooo/rtamt

edb7bf664720c52e9d70920102c450b1f593af95

[ "BSD-3-Clause" ]

17

2020-07-07T20:32:08.000Z

2022-03-07T07:20:22.000Z

from rtamt.exception.exception import RTAMTException class STLException(RTAMTException): pass class STLParseException(STLException): pass class STLOfflineException(STLException): pass class STLSpecificationException(STLException): pass class STLNotImplementedException(STLException): pass

19.5625

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313

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0

0.13738

313

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53

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0.454545

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0.454545

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0

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0

null

0

1

0

null

0

1

0

1

0

5

a0a89049db539d9150142036542188b6389b4e8d

245

py

Python

data/typing/pandas.tests.extension.json.array.py

vfdev-5/python-record-api

006faf0bba9cd4cb55fbacc13d2bbda365f5bf0b

[ "MIT" ]

67

2020-08-17T11:53:26.000Z

2021-11-08T20:16:06.000Z

data/typing/pandas.tests.extension.json.array.py

vfdev-5/python-record-api

006faf0bba9cd4cb55fbacc13d2bbda365f5bf0b

[ "MIT" ]

36

2020-08-17T11:09:51.000Z

2021-12-15T18:09:47.000Z

data/typing/pandas.tests.extension.json.array.py

pydata-apis/python-api-record

684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b

[ "MIT" ]

7

2020-08-19T05:06:47.000Z

2020-11-04T05:10:38.000Z

from typing import * class JSONDtype: def __eq__(self, _0: numpy.dtype, /): """ usage.pandas: 1 """ ... def __ne__(self, _0: numpy.dtype, /): """ usage.pandas: 1 """ ...

15.3125

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0.42449

23

245

4.086957

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0.106383

0.212766

0.319149

0.574468

0

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0.412245

245

15

42

16.333333

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null

0

1

0

null

0

1

0

5

a0b5b3a7f21fdcd90b01a9d58f720ce9ac619e08

126

py

Python

web/sso/admin.py

mhamzaerol/kisaweb

6852bbfb018f14df6caeaf75c4087553df6a1357

[ "MIT" ]

null

web/sso/admin.py

mhamzaerol/kisaweb

6852bbfb018f14df6caeaf75c4087553df6a1357

[ "MIT" ]

null

web/sso/admin.py

mhamzaerol/kisaweb

6852bbfb018f14df6caeaf75c4087553df6a1357

[ "MIT" ]

null

from django.contrib import admin from .models import Agreement # Register your models here. admin.site.register(Agreement)

15.75

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126

5.941176

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0.134921

126

7

33

18

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true

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0

null

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1

0

1

0

1

0

5

262baaa265a7bf6cbc394dbc060aa2e1caa9aac4

220

py

Python

publib/tools/__init__.py

erwanp/publib

84a4d8f51c4380410788678879d779f17614a6d9

[ "MIT" ]

29

2016-02-17T04:05:45.000Z

2022-03-09T10:25:39.000Z

publib/tools/__init__.py

rainwear/publib

84a4d8f51c4380410788678879d779f17614a6d9

[ "MIT" ]

7

2018-07-07T12:01:31.000Z

2021-01-10T17:23:25.000Z

publib/tools/__init__.py

rainwear/publib

84a4d8f51c4380410788678879d779f17614a6d9

[ "MIT" ]

1

2020-06-29T02:30:34.000Z

# -*- coding: utf-8 -*- """ publib """ from .tools import reset_defaults, regenerate_fonts, list_font_names, list_font_files from .fix import fix_bold_TimesNewRoman from .colors import colors, keep_color, get_next_color

27.5

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220

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0.113636

220

8

86

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null

0

1

0

1

0

1

0

5

2632f0d101d3304fc9be531fcc9fb9b236e12f16

262

py

Python

Chapter03/arithmetic.py

add54/ADMIN_SYS_PYTHON

5a6d9705537c8663c8f7b0f45d29ccc87b6096e7

[ "MIT" ]

116

2018-12-21T01:05:47.000Z

2022-03-23T21:41:41.000Z

Chapter03/arithmetic.py

add54/ADMIN_SYS_PYTHON

5a6d9705537c8663c8f7b0f45d29ccc87b6096e7

[ "MIT" ]

2

2021-03-31T19:36:19.000Z

2021-06-10T22:29:26.000Z

Chapter03/arithmetic.py

add54/ADMIN_SYS_PYTHON

5a6d9705537c8663c8f7b0f45d29ccc87b6096e7

[ "MIT" ]

147

2018-12-19T14:10:32.000Z

2022-03-20T11:03:20.000Z

# In this script, we are going to create a 4 functions: add_numbers, sub_numbers, mul_numbers, div_numbers. def add_numbers(x, y): return x + y def sub_numbers(x, y): return x - y def mul_numbers(x, y): return x * y def div_numbers(x, y): return (x / y)

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null

0

1

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1

0

5

26354c9892a4f3a925ab8d78e606d309dbf51956

378

py

Python

__init__.py

DDMAL/Calvo-classifier

06e9a74b2221e130ec7eae1dfe462f9de1a5ffa3

[ "MIT" ]

null

__init__.py

DDMAL/Calvo-classifier

06e9a74b2221e130ec7eae1dfe462f9de1a5ffa3

[ "MIT" ]

25

2017-07-17T19:49:57.000Z

2021-05-21T14:29:34.000Z

__init__.py

DDMAL/Calvo-classifier

06e9a74b2221e130ec7eae1dfe462f9de1a5ffa3

[ "MIT" ]

null

import rodan __version__ = "1.2.3" import logging logger = logging.getLogger('rodan') from rodan.jobs import module_loader module_loader('rodan.jobs.Calvo_classifier.calvo_classifier') module_loader('rodan.jobs.Calvo_classifier.calvo_trainer') module_loader('rodan.jobs.Calvo_classifier.fast_calvo_classifier') module_loader('rodan.jobs.Calvo_classifier.fast_calvo_trainer')

29.076923

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1

null

0

1

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5

2635db32a0747cad0cb2d49e6657c70c6855b32d

119

py

Python

0401-0500/0441-Arranging Coins/0441-Arranging Coins.py

jiadaizhao/LeetCode

4ddea0a532fe7c5d053ffbd6870174ec99fc2d60

[ "MIT" ]

49

2018-05-05T02:53:10.000Z

2022-03-30T12:08:09.000Z

0401-0500/0441-Arranging Coins/0441-Arranging Coins.py

jolly-fellow/LeetCode

ab20b3ec137ed05fad1edda1c30db04ab355486f

[ "MIT" ]

11

2017-12-15T22:31:44.000Z

2020-10-02T12:42:49.000Z

0401-0500/0441-Arranging Coins/0441-Arranging Coins.py

jolly-fellow/LeetCode

ab20b3ec137ed05fad1edda1c30db04ab355486f

[ "MIT" ]

28

2017-12-05T10:56:51.000Z

2022-01-26T18:18:27.000Z

import math class Solution: def arrangeCoins(self, n: int) -> int: return int(math.sqrt(1 + 8*n) - 1) // 2

23.8

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19

119

3.736842

0.736842

0

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119

4

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0

1

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1

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null

0

1

0

1

0

5

265a73af2a5d49340b90c891f1a715aa2ca5fbd3

496

py

Python

djsci/fields.py

claydodo/django-scientific

d48db1fb606ca3b24a219054dc01bdcdbea9ad9d

[ "Unlicense" ]

null

djsci/fields.py

claydodo/django-scientific

d48db1fb606ca3b24a219054dc01bdcdbea9ad9d

[ "Unlicense" ]

null

djsci/fields.py

claydodo/django-scientific

d48db1fb606ca3b24a219054dc01bdcdbea9ad9d

[ "Unlicense" ]

null

# -*- coding:utf-8 -*- from picklefield.fields import PickledObjectField class DataField(PickledObjectField): """A Generic Data Field""" # TODO: add type attr to this field pass class NumpyArrayField(PickledObjectField): # TODO: customize value_to_string(), etc pass class PandasSeriesField(PickledObjectField): # TODO: customize value_to_string(), etc pass class PandasDataFrameField(PickledObjectField): # TODO: customize value_to_string(), etc pass

20.666667

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0

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496

24

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0

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true

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null

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null

0

1

0

1

0

5

2669d55e3cfa5718ee15094ea7a62bbbe3063b4e

331

py

Python

ikfast_pybind/__init__.py

wenbowen123/catgrasp

4b2f4016fc40e8aad1f157267c460ce333dec7ad

[ "Apache-2.0", "MIT" ]

44

2022-03-05T00:47:18.000Z

2022-03-31T11:12:02.000Z

ikfast_pybind/__init__.py

wenbowen123/catgrasp

4b2f4016fc40e8aad1f157267c460ce333dec7ad

[ "Apache-2.0", "MIT" ]

null

ikfast_pybind/__init__.py

wenbowen123/catgrasp

4b2f4016fc40e8aad1f157267c460ce333dec7ad

[ "Apache-2.0", "MIT" ]

9

2022-03-22T08:02:10.000Z

2022-03-28T10:49:06.000Z

import os,sys code_dir = os.path.dirname(os.path.realpath(__file__)) sys.path.append(code_dir) from ikfast_kuka_iiwa14 import get_fk as get_fk_iiwa14 from ikfast_kuka_iiwa14 import get_ik as get_ik_iiwa14 from ikfast_kuka_iiwa14 import get_dof as get_dof_iiwa14 from ikfast_kuka_iiwa14 import get_free_dof as get_free_dof_iiwa14

33.1

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331

9

67

36.777778

0.80602

0

1

0

false

0

0.714286

0

0.714286

0

null

0

1

0

1

0

null

0

1

0

1

0

5

266a18d0d3b98d67cfaa2584560c3b4e0d35f5b9

51

py

Python

src/phony/bluetooth/profiles/handsfree/__init__.py

QuentinosR/phony

11f0e8abb8a5d67eaf23cd600768d4f6e0add6fd

[ "MIT" ]

71

2016-05-08T00:52:47.000Z

2022-03-28T16:33:22.000Z

src/phony/bluetooth/profiles/handsfree/__init__.py

QuentinosR/phony

11f0e8abb8a5d67eaf23cd600768d4f6e0add6fd

[ "MIT" ]

13

2017-04-17T01:04:27.000Z

2021-08-30T01:41:02.000Z

src/phony/bluetooth/profiles/handsfree/__init__.py

QuentinosR/phony

11f0e8abb8a5d67eaf23cd600768d4f6e0add6fd

[ "MIT" ]

18

2017-05-26T21:26:34.000Z

2022-03-26T15:39:19.000Z

from nohands import NoHands from ofono import Ofono

25.5

27

0.862745

8

51

5.5

0.5

0

0.137255

51

2

28

25.5

1

0

1

0

true

0

1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

5

13fe543634f027ce69f3a7d6a43e971b764dde7b

420

py

Python

_backup/stage03_quantification_models_execute.py

dmccloskey/SBaaS_thermodynamics

0eeed0191f952ea0226ab8bbc234a30638fb2f9f

[ "MIT" ]

null

_backup/stage03_quantification_models_execute.py

dmccloskey/SBaaS_thermodynamics

0eeed0191f952ea0226ab8bbc234a30638fb2f9f

[ "MIT" ]

null

_backup/stage03_quantification_models_execute.py

dmccloskey/SBaaS_thermodynamics

0eeed0191f952ea0226ab8bbc234a30638fb2f9f

[ "MIT" ]

null

#SBaaS from .stage03_quantification_models_io import stage03_quantification_models_io #SBaaS models (delete if not needed) from .stage03_quantification_models_postgresql_models import * # Resources (delete if not needed) from io_utilities.base_importData import base_importData from io_utilities.base_exportData import base_exportData class stage03_quantification_models_execute(stage03_quantification_models_io):

38.181818

78

0.87619

54

420

6.407407

0.351852

0.303468

0.390173

0.251445

0.121387

0

0.02611

0.088095

420

11

79

38.181818

0.877285

0.17381

0

null

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null

0

null

1

0

null

0

1

0

1

0

5

cd298160a71d1cdbfaa600654811c55a7e6508b8

66

py

Python

ndstructs/datasink/__init__.py

k-dominik/ndstructs

53dd6fd389832804d5f28eb4f9f34e2a62e30afe

[ "MIT" ]

null

ndstructs/datasink/__init__.py

k-dominik/ndstructs

53dd6fd389832804d5f28eb4f9f34e2a62e30afe

[ "MIT" ]

7

2019-07-05T08:01:19.000Z

2020-12-08T09:46:44.000Z

ndstructs/datasink/__init__.py

k-dominik/ndstructs

53dd6fd389832804d5f28eb4f9f34e2a62e30afe

[ "MIT" ]

2

2019-07-24T08:10:31.000Z

2019-12-12T09:25:31.000Z

from .DataSink import DataSink from .N5DataSink import N5DataSink

22

34

0.848485

8

66

7

0.5

0

0.034483

0.121212

66

2

35

33

0.931034

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cd5143788454464ccfd1e7b002326815a6636e44

102

py

Python

kubi_ecs_logger/models/__init__.py

kumina/kubi_ecs_logger

64d9519e0759a24253a4edc53e0c024675033d1c

[ "BSD-3-Clause" ]

6

2019-12-15T12:47:06.000Z

2022-01-11T08:54:58.000Z

kubi_ecs_logger/models/__init__.py

kumina/kubi_ecs_logger

64d9519e0759a24253a4edc53e0c024675033d1c

[ "BSD-3-Clause" ]

null

kubi_ecs_logger/models/__init__.py

kumina/kubi_ecs_logger

64d9519e0759a24253a4edc53e0c024675033d1c

[ "BSD-3-Clause" ]

null

from .root_schema import RootSchema from .base import Base, BaseSchema from .severity import Severity

25.5

35

0.833333

14

102

6

0.571429

0

0.127451

102

3

36

34

0.94382

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cd71059b2f4fcc3c2c44c770b2d07caeb9050b21

255

py

Python

fastapi_users/settings.py

chatalyan/fastapi-users

2d6db3deea0fd7d4805ff2c5f6783fca8fc0fa34

[ "MIT" ]

null

fastapi_users/settings.py

chatalyan/fastapi-users

2d6db3deea0fd7d4805ff2c5f6783fca8fc0fa34

[ "MIT" ]

2

2022-02-18T04:38:15.000Z

2022-03-07T04:36:52.000Z

fastapi_users/settings.py

chatalyan/fastapi-users

2d6db3deea0fd7d4805ff2c5f6783fca8fc0fa34

[ "MIT" ]

null

PREFIX_TOKEN = "users" AUTH_TOKEN_AUDIENCE = f"{PREFIX_TOKEN}:auth" RESET_PASSWORD_TOKEN_AUDIENCE = f"{PREFIX_TOKEN}:reset" VERIFY_USER_TOKEN_AUDIENCE = f"{PREFIX_TOKEN}:verify" STATE_TOKEN_AUDIENCE = f"{PREFIX_TOKEN}:oauth-state" TOKEN_LIFETIME = 3600

28.333333

55

0.807843

37

255

5.135135

0.378378

0.289474

0.294737

0.421053

0.526316

0

0.017021

0.078431

255

8

56

31.875

0.791489

0

0.356863

0.184314

0

1

0

false

0.166667

0

null

1

0

1

0

null

0

1

0

5

cd90d12b1139bb7c8053fcbee09dc65066e39250

78

py

Python

largescale/src/stimulus/stimulus/__init__.py

cosmozhang-lab/motion-illusion-model

32a5ccab920095818b220642bae491429ff71f27

[ "MIT" ]

null

largescale/src/stimulus/stimulus/__init__.py

cosmozhang-lab/motion-illusion-model

32a5ccab920095818b220642bae491429ff71f27

[ "MIT" ]

null

largescale/src/stimulus/stimulus/__init__.py

cosmozhang-lab/motion-illusion-model

32a5ccab920095818b220642bae491429ff71f27

[ "MIT" ]

null

# Package: largescale.src.stimulus.stimulus from stimulus import StimulusBase

26

43

0.846154

9

78

7.333333

0.777778

0

0.089744

78

3

44

26

0.929577

0.525641

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

269d05074ea6396ca1e23cf61df6ba91a5364e7c

167

py

Python

cli/exceptions.py

dwarventech/csv2sqlite

7a2c7cd2e1ba93021ea8afa7863de0eb1eb510ab

[ "MIT" ]

1

2016-05-16T04:20:07.000Z

cli/exceptions.py

dwarventech/csv2sqlite

7a2c7cd2e1ba93021ea8afa7863de0eb1eb510ab

[ "MIT" ]

null

cli/exceptions.py

dwarventech/csv2sqlite

7a2c7cd2e1ba93021ea8afa7863de0eb1eb510ab

[ "MIT" ]

null

class CsvColumnNotFound(Exception): def __init__(self, line_number, column_index): self.line_number = line_number self.column_index = column_index

33.4

50

0.736527

20

167

5.65

0.5

0.265487

0.247788

0

0.191617

167

4

51

41.75

0.837037

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

26cf924ee2d6c6db4c50b31fd31ea16087f20133

585

py

Python

tests/test_json.py

fossabot/crazy-imports

3821233e4a907756bdbaac7e23a0e65ae44bd33f

[ "MIT" ]

5

2021-01-16T18:37:14.000Z

2021-02-11T07:26:09.000Z

tests/test_json.py

fossabot/crazy-imports

3821233e4a907756bdbaac7e23a0e65ae44bd33f

[ "MIT" ]

31

2020-12-25T09:04:50.000Z

2021-11-27T12:09:38.000Z

tests/test_json.py

fossabot/crazy-imports

3821233e4a907756bdbaac7e23a0e65ae44bd33f

[ "MIT" ]

3

2020-12-25T13:18:53.000Z

2021-10-10T12:14:18.000Z

import crazyimports import tests.test_data.config_json as config def test_json_file_type(): assert config.__file__.split(".")[-1] == "json" def test_json_integer_type(): assert isinstance(config.number, int) def test_json_integer_value(): assert config.number == 42 def test_json_string_type(): assert isinstance(config.string, str) def test_json_string_value(): assert config.string == "apple" def test_json_number_in_object(): assert config.object["number"] == 43 def test_json_string_in_object(): assert config.object["string"] == "orange"

18.870968

51

0.731624

81

585

4.925926

0.333333

0.122807

0.192982

0.12782

0.130326

0

0.01006

0.150427

585

30

52

19.5

0.792757

0

0.047863

0

0.4375

1

0.4375

true

0

0.125

0

0.5625

0

null

0

1

0

null

0

1

0

1

0

1

0

5

26d87ca7c1c6fde53c571ac1fafdad0ac9804a81

44

py

Python

env/lib/python3.8/site-packages/plotly/graph_objs/layout/template/data/_scattercarpet.py

acrucetta/Chicago_COVI_WebApp

a37c9f492a20dcd625f8647067394617988de913

[ "MIT", "Unlicense" ]

11,750

2015-10-12T07:03:39.000Z

2022-03-31T20:43:15.000Z

env/lib/python3.8/site-packages/plotly/graph_objs/layout/template/data/_scattercarpet.py

acrucetta/Chicago_COVI_WebApp

a37c9f492a20dcd625f8647067394617988de913

[ "MIT", "Unlicense" ]

2,951

2015-10-12T00:41:25.000Z

2022-03-31T22:19:26.000Z

env/lib/python3.8/site-packages/plotly/graph_objs/layout/template/data/_scattercarpet.py

acrucetta/Chicago_COVI_WebApp

a37c9f492a20dcd625f8647067394617988de913

[ "MIT", "Unlicense" ]

2,623

2015-10-15T14:40:27.000Z

2022-03-28T16:05:50.000Z

from plotly.graph_objs import Scattercarpet

22

43

0.886364

6

44

6.333333

1

0

0.090909

44

1

44

0.95

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

26d94e25d20d513fb6386c51978a1a3ae5eebfb3

560

py

Python

__init__.py

jabbershort/KinovaGen3

b5aedf6f3433c9010fae4f63e194aa5c228555f3

[ "MIT" ]

1

2021-10-14T20:03:20.000Z

__init__.py

jabbershort/KinovaGen3

b5aedf6f3433c9010fae4f63e194aa5c228555f3

[ "MIT" ]

null

__init__.py

jabbershort/KinovaGen3

b5aedf6f3433c9010fae4f63e194aa5c228555f3

[ "MIT" ]

1

2021-10-15T07:17:07.000Z

from .forward_kinematics import forward_kinematics from .inverse_kinematics import inverse_kinematics from .inverse_kinematics import multicriteria_ik from .inverse_kinematics import inverse_kinematics_dls from .inverse_kinematics import multicriteria_ik_damped from .jacobian import jacobian from .gravity import gravity from .mass_matrix import mass_matrix from .coriolis import coriolis from .manipulability import manipulability from .com_positions import com_positions from .mid_positions import mid_positions from .joint_positions import joint_positions

40

55

0.883929

72

560

6.597222

0.263889

0.214737

0.176842

0.227368

0.383158

0.362105

0

0.092857

560

13

56

43.076923

0.935039

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

26ffe07b6cba2263486290af8990d6c84bf9b27a

25

py

Python

aos_sw_api/dot1x/__init__.py

KennethSoelberg/AOS-Switch

a5a2c54917bbb69fab044bf0b313bcf795642d30

[ "MIT" ]

null

aos_sw_api/dot1x/__init__.py

KennethSoelberg/AOS-Switch

a5a2c54917bbb69fab044bf0b313bcf795642d30

[ "MIT" ]

1

2020-12-24T15:36:56.000Z

2021-01-28T23:19:57.000Z

aos_sw_api/dot1x/__init__.py

KennethSoelberg/AOS-Switch

a5a2c54917bbb69fab044bf0b313bcf795642d30

[ "MIT" ]

1

2021-02-16T23:26:28.000Z

from ._dot1x import Dot1x

25

0.84

4

25

5

0.75

0

0.090909

0.12

25

1

25

0.818182

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f8020631b16411295d68b38217fa4df75812fee6

39

py

Python

Haifuckqueue/src/test/__init__.py

Hydrazer/Haifuckqueue

8f64a3cbd70189ac5e39a753591192d92f99fc3b

[ "MIT" ]

2

2021-12-07T23:29:15.000Z

2021-12-07T23:57:08.000Z

Haifuckqueue/src/test/__init__.py

Hydrazer/Haifuckqueue

8f64a3cbd70189ac5e39a753591192d92f99fc3b

[ "MIT" ]

1

2021-11-20T21:06:01.000Z

src/test/__init__.py

4gboframram/Haifuckqueue

1f32126d469b80a91be3a7c437c6c9ba17fe3a86

[ "MIT" ]

null

# LET ME FUCKING UPLOAD "EMPTY FILES"

19.5

38

0.717949

6

39

4.666667

1

0

0.205128

39

1

39

0.903226

0.897436

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

f83532d5eb984bbf6e6ee32989664b6956a892cd

204

py

Python

apps/api/__init__.py

onyxhealth/safhir-vmi

60ba90e9e8ba00347e0dc32e3061da5285df4ade

[ "Apache-2.0" ]

null

apps/api/__init__.py

onyxhealth/safhir-vmi

60ba90e9e8ba00347e0dc32e3061da5285df4ade

[ "Apache-2.0" ]

9

2021-03-19T11:43:09.000Z

2022-03-12T00:38:43.000Z

apps/api/__init__.py

onyxhealth/safhir-vmi

60ba90e9e8ba00347e0dc32e3061da5285df4ade

[ "Apache-2.0" ]

null

from django.conf import settings assert getattr(settings, 'ATOMIC_REQUESTS', False), "Use of this API package requires ATOMIC_REQUESTS to be enabled to ensure no cases of partial success occure" # noqa

51

169

0.79902

31

204

5.193548

0.83871

0.173913

0

0.147059

204

3

170

68

0.925287

0.019608

0

0.616162

0

0.5

1

0

true

0

0.5

0

0.5

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

f835520eb590cfd5d266fdad6d553a7637f62cce

284

py

Python

bin/check_port.py

wangxiao1254/GraphSC

294b9195477d701b9c75f15387e5ac1aaee8cc51

[ "MIT" ]

25

2015-05-22T17:45:22.000Z

2021-11-19T07:55:09.000Z

bin/check_port.py

wangxiao1254/GraphSC

294b9195477d701b9c75f15387e5ac1aaee8cc51

[ "MIT" ]

1

2021-08-05T02:49:48.000Z

bin/check_port.py

wangxiao1254/GraphSC

294b9195477d701b9c75f15387e5ac1aaee8cc51

[ "MIT" ]

11

2015-06-10T18:16:26.000Z

2021-09-17T05:48:12.000Z

#!/usr/bin/python import subprocess import os.path import time for i in range(0, 16): subprocess.call("fuser " + str(35000 + i) + "/tcp", shell=True) subprocess.call("fuser " + str(50000 + i) + "/tcp", shell=True) subprocess.call("fuser " + str(55000 + i) + "/tcp", shell=True)

31.555556

65

0.647887

43

284

4.27907

0.534884

0.228261

0.309783

0.358696

0.380435

0

0.075314

0.158451

284

8

66

35.5

0.694561

0.056338

0

0.11236

0

1

0

false

0

0.428571

0

0.428571

0

null

1

0

1

0

null

0

1

0

5

f874a4fa56ef58956676e2f46f3321933d6b8298

174

py

Python

tests/permission_test/python_permission_test.py

DockerComposeFiles/ARM

b0faddb525ad134ff8c589c370d8e61ab030c216

[ "MIT" ]

null

tests/permission_test/python_permission_test.py

DockerComposeFiles/ARM

b0faddb525ad134ff8c589c370d8e61ab030c216

[ "MIT" ]

null

tests/permission_test/python_permission_test.py

DockerComposeFiles/ARM

b0faddb525ad134ff8c589c370d8e61ab030c216

[ "MIT" ]

null

import datetime import time # Zeitangabe mit Zugriff auf Systemzeit print(time.sleep) # Zeitangabe ohne Zugriff auf die genaue Systemzeit. print(datetime.time.microsecond)

19.333333

52

0.816092

23

174

6.173913

0.608696

0.140845

0

0.126437

174

8

53

21.75

0.934211

0.505747

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3e658c9a032278a5ce15345b9258b3d1d71d964b

53

py

Python

tadataka/vo/__init__.py

IshitaTakeshi/Tadataka

852c7afb904503005e51884408e1492ef0be836f

[ "Apache-2.0" ]

54

2019-11-15T16:30:34.000Z

2022-01-13T15:18:54.000Z

tadataka/vo/__init__.py

IshitaTakeshi/Tadataka

852c7afb904503005e51884408e1492ef0be836f

[ "Apache-2.0" ]

11

2019-02-28T08:28:24.000Z

2020-04-07T04:47:12.000Z

tadataka/vo/__init__.py

IshitaTakeshi/Tadataka

852c7afb904503005e51884408e1492ef0be836f

[ "Apache-2.0" ]

1

2020-02-26T13:59:40.000Z

from tadataka.vo.feature_based import FeatureBasedVO

26.5

52

0.886792

7

53

6.571429

1

0

0.075472

53

1

53

0.938776

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3e764e5e2099bc65817b31d22e3fb74aeb27f934

80

py

Python

__init__.py

auraGB/PopcornTimeAPI

7fbf940d039ef4203cec8cf586154f2e9e4b47b7

[ "Apache-2.0" ]

null

__init__.py

auraGB/PopcornTimeAPI

7fbf940d039ef4203cec8cf586154f2e9e4b47b7

[ "Apache-2.0" ]

null

__init__.py

auraGB/PopcornTimeAPI

7fbf940d039ef4203cec8cf586154f2e9e4b47b7

[ "Apache-2.0" ]

null

from .version import __version__ from .media.shows import * # __all__ = [ # ]

11.428571

32

0.6875

9

80

5.222222

0.666667

0

0.2

80

7

33

11.428571

0.734375

0.1625

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3e8eb11a20ae4f8820995cac9f2de2951342e1c0

103

py

Python

cpgames/modules/core/whacamole/modules/__init__.py

Wasabii88/Games

33262ca1958207a24e57e3532feded7e275b1dd1

[ "MIT" ]

1

2022-02-27T10:33:41.000Z

cpgames/modules/core/whacamole/modules/__init__.py

beiwei365/Games

f6499f378802d3212a08aeca761191b58714b7f0

[ "MIT" ]

null

cpgames/modules/core/whacamole/modules/__init__.py

beiwei365/Games

f6499f378802d3212a08aeca761191b58714b7f0

[ "MIT" ]

null

'''initialize''' from .sprites import Mole, Hammer from .interfaces import endInterface, startInterface

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0

1

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1

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5

e42097eb7128df9fba862c295f3727b7eae0f7bf

140

py

Python

src/questions/__init__.py

byran/ScreenPlayExample

1108a8567aacc8ddc8e460a42f54409ad7dc0f23

[ "MIT" ]

null

src/questions/__init__.py

byran/ScreenPlayExample

1108a8567aacc8ddc8e460a42f54409ad7dc0f23

[ "MIT" ]

null

src/questions/__init__.py

byran/ScreenPlayExample

1108a8567aacc8ddc8e460a42f54409ad7dc0f23

[ "MIT" ]

null

from .the_search_result_titles import the_search_result_titles __all__ = [ 'the_search_result_titles' # the_search_result_titles.py ]

23.333333

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1

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null

0

5

e427d1811fed7f470d4408b1f26dab9df83f1e1b

162

py

Python

qork/console.py

flipcoder/qork

86f10f0db2edc82786516fd30bbd9f046b1a27aa

[ "MIT" ]

3

2020-03-19T06:31:32.000Z

2021-08-24T19:19:50.000Z

qork/console.py

flipcoder/qork

86f10f0db2edc82786516fd30bbd9f046b1a27aa

[ "MIT" ]

null

qork/console.py

flipcoder/qork

86f10f0db2edc82786516fd30bbd9f046b1a27aa

[ "MIT" ]

null

#!/usr/bin/env python from qork.canvas import Canvas class Console(Canvas): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs)

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null

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1

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5

e42d7c449da1424dc3af390ede252d1f2018a31a

3,630

py

Python

blahb/setops/intersection/intersection_direct.py

mvsaha/blahb

e4ea703fa0fc255f627057c07df4c51138299d8b

[ "MIT" ]

null

blahb/setops/intersection/intersection_direct.py

mvsaha/blahb

e4ea703fa0fc255f627057c07df4c51138299d8b

[ "MIT" ]

null

blahb/setops/intersection/intersection_direct.py

mvsaha/blahb

e4ea703fa0fc255f627057c07df4c51138299d8b

[ "MIT" ]

null

import numpy as np import numba from ...utils import lex_less_Nd, eq_Nd @numba.njit def _intersection_direct_1d(a, b): na, ndim = a.shape ib, nb = 0, b.shape[0] assert b.shape[1] == ndim take_a = np.empty(na, dtype=numba.boolean) for ia in range(na): while b[ib, 0] < a[ia, 0]: ib += 1 if ib == nb: take_a[ia:] = False return take_a if a[ia, 0] == b[ib, 0]: take_a[ia] = True else: take_a[ia] = False return take_a @numba.njit def _intersection_direct_2d(a, b): na, ndim = a.shape ib, nb = 0, b.shape[0] assert b.shape[1] == ndim take_a = np.empty(na, dtype=numba.boolean) for ia in range(na): while (b[ib, 0] < a[ia, 0] or (b[ib, 0] == a[ia, 0] and (b[ib, 1] < a[ia, 1]))): ib += 1 if ib == nb: take_a[ia:] = False return take_a if (a[ia, 0] == b[ib, 0] and a[ia, 1] == b[ib, 1]): take_a[ia] = True else: take_a[ia] = False return take_a @numba.njit def _intersection_direct_3d(a, b): na, ndim = a.shape ib, nb = 0, b.shape[0] assert b.shape[1] == ndim take_a = np.empty(na, dtype=numba.boolean) for ia in range(na): while (b[ib, 0] < a[ia, 0] or (b[ib, 0] == a[ia, 0] and (b[ib, 1] < a[ia, 1] or (b[ib, 1] == a[ia, 1] and b[ib, 2] < a[ia, 2])))): ib += 1 if ib == nb: take_a[ia:] = False return take_a if (a[ia, 0] == b[ib, 0] and a[ia, 1] == b[ib, 1] and a[ia, 2] == b[ib, 2]): take_a[ia] = True else: take_a[ia] = False return take_a @numba.njit def _intersection_direct_4d(a, b): na, ndim = a.shape ib, nb = 0, b.shape[0] assert b.shape[1] == ndim take_a = np.empty(na, dtype=numba.boolean) for ia in range(na): while (b[ib, 0] < a[ia, 0] or (b[ib, 0] == a[ia, 0] and (b[ib, 1] < a[ia, 1] or (b[ib, 1] == a[ia, 1] and (b[ib, 2] < a[ia, 2] or (b[ib, 2] == a[ia, 2] and b[ib, 3] < a[ia, 3])))))): ib += 1 if ib == nb: take_a[ia:] = False return take_a if (a[ia, 0] == b[ib, 0] and a[ia, 1] == b[ib, 1] and a[ia, 2] == b[ib, 2] and a[ia, 3] == b[ib, 3]): take_a[ia] = True else: take_a[ia] = False return take_a @numba.njit def _intersection_direct_Nd(a, b): """Find the set intersection between two IndexSets in linear time.""" na, ndim = a.shape ib, nb = 0, b.shape[0] assert b.shape[1] == ndim take_a = np.empty(na, dtype=numba.boolean) for ia in range(na): while lex_less_Nd(b[ib], a[ia]): ib += 1 if ib == nb: # If we run out of b coordinates, then we are done take_a[ia:] = False return take_a if eq_Nd(b[ib], a[ia]): take_a[ia] = True else: take_a[ia] = False return take_a @numba.njit def intersection_direct_(a_loc, b_loc): ndim = a_loc.shape[1] assert ndim == b_loc.shape[1] if ndim == 1: return _intersection_direct_1d(a_loc, b_loc) elif ndim == 2: return _intersection_direct_2d(a_loc, b_loc) elif ndim == 3: return _intersection_direct_3d(a_loc, b_loc) elif ndim == 4: return _intersection_direct_4d(a_loc, b_loc) else: return _intersection_direct_Nd(a_loc, b_loc)

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1

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null

0

5

e449ce92d0c288d1227a8d0e900d485bae34638b

163

py

Python

django_fortumo/settings/test.py

v0y/django-fortumo

d21101690a6b11adaa44faf5a686cb6e8f1c74fc

[ "MIT" ]

null

django_fortumo/settings/test.py

v0y/django-fortumo

d21101690a6b11adaa44faf5a686cb6e8f1c74fc

[ "MIT" ]

null

django_fortumo/settings/test.py

v0y/django-fortumo

d21101690a6b11adaa44faf5a686cb6e8f1c74fc

[ "MIT" ]

null

from django_fortumo.settings.base import * FORTUMO_SECRET = 'bad54c617b3a51230ac7cc3da398855e' SECRET_KEY = '0_6iq7a%wez2ibbrt07#g&hj1v#pnt9)!^0t)sk3vy72)p%87@'

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6.047619

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163

5

66

32.6

0.622517

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1

0

1

null

0

1

0

5

e48ccba32b3285d120053677eed78e689ec73054

168

py

Python

scripts/__main__.py

7onn/politicians-contacts

571bec23c2f795905c3f1dd6888850dac95cfccc

[ "MIT" ]

2

2022-02-05T18:42:07.000Z

2022-03-08T19:21:49.000Z

scripts/__main__.py

7onn/politicians-contacts

571bec23c2f795905c3f1dd6888850dac95cfccc

[ "MIT" ]

null

scripts/__main__.py

7onn/politicians-contacts

571bec23c2f795905c3f1dd6888850dac95cfccc

[ "MIT" ]

null

from congress_crawler import CongressCrawler from senate_crawler import SenateCrawler if __name__ == "__main__": SenateCrawler().run() CongressCrawler().run()

24

44

0.77381

17

168

7.058824

0.647059

0.216667

0

0.136905

168

6

45

28

0.827586

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0.047619

0

1

0

true

0

0.4

0

0.4

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1

0

null

1

0

1

0

null

0

1

0

1

0

5

e4ae1928d24f092f3d585dec67ca322dbf2d39a1

116

py

Python

test/__init__.py

jeanqasaur/jeeves

1b5783a98f88fa2fc9e4cae7e005d2c9242cfea4

[ "MIT" ]

253

2015-01-02T01:54:27.000Z

2022-03-10T01:44:02.000Z

test/__init__.py

jeanqasaur/jeeves

1b5783a98f88fa2fc9e4cae7e005d2c9242cfea4

[ "MIT" ]

4

2015-06-09T03:36:28.000Z

2017-08-11T15:54:24.000Z

test/__init__.py

jeanqasaur/jeeves

1b5783a98f88fa2fc9e4cae7e005d2c9242cfea4

[ "MIT" ]

29

2015-02-14T02:24:08.000Z

2021-12-16T02:46:16.000Z

import macropy.activate import testCaching import testJeevesWrite import testLogPolicies import testSourceTransform

19.333333

26

0.905172

11

116

9.545455

0.636364

0

0.086207

116

5

27

23.2

0.990566

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e4d162b158859df8d7329dca96c1775709ce4821

192

py

Python

src/notebook_adventure/model/classes/Magic_attack.py

kjamaal/notebook_adventure

703d6663212efcfd2ffe8c54e788e7dfd7feb221

[ "MIT" ]

null

src/notebook_adventure/model/classes/Magic_attack.py

kjamaal/notebook_adventure

703d6663212efcfd2ffe8c54e788e7dfd7feb221

[ "MIT" ]

1

2021-06-01T23:59:47.000Z

src/notebook_adventure/model/classes/Magic_attack.py

kjamaal/notebook_adventure_client

703d6663212efcfd2ffe8c54e788e7dfd7feb221

[ "MIT" ]

null

from ..base.Attack import Attack class Magic_attack(Attack): def __init__(self, name, aType, damage): self.target_member = 'md' Attack.__init__(self, name, aType, damage)

27.428571

47

0.682292

25

192

4.84

0.6

0.132231

0.198347

0.280992

0.380165

0

0.203125

192

7

48

27.428571

0.79085

0

0.010695

0

1

0.2

false

0

0.2

0

0.6

0

1

0

null

0

1

0

1

0

null

0

1

0

5

901128417a22e80056c7be63656b700f0973208f

96

py

Python

Geometry/__init__.py

ComputationalChemistry-NMSU/terse

d97c4efe941b7459d6de591511592c0dec21ebbb

[ "MIT" ]

1

2018-02-25T00:36:52.000Z

Geometry/__init__.py

ComputationalChemistry-NMSU/terse

d97c4efe941b7459d6de591511592c0dec21ebbb

[ "MIT" ]

null

Geometry/__init__.py

ComputationalChemistry-NMSU/terse

d97c4efe941b7459d6de591511592c0dec21ebbb

[ "MIT" ]

null

from ListGeoms import ListGeoms from Geom import Geom from IRC import IRC from Scan import Scan

19.2

31

0.833333

16

96

5

0.375

0

0.166667

96

4

32

24

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9039fb054c30b2523a50869837059e6609260816

200

py

Python

saleor/attribute/signals.py

fairhopeweb/saleor

9ac6c22652d46ba65a5b894da5f1ba5bec48c019

[ "CC-BY-4.0" ]

15,337

2015-01-12T02:11:52.000Z

2021-10-05T19:19:29.000Z

saleor/attribute/signals.py

fairhopeweb/saleor

9ac6c22652d46ba65a5b894da5f1ba5bec48c019

[ "CC-BY-4.0" ]

7,486

2015-02-11T10:52:13.000Z

2021-10-06T09:37:15.000Z

saleor/attribute/signals.py

aminziadna/saleor

2e78fb5bcf8b83a6278af02551a104cfa555a1fb

[ "CC-BY-4.0" ]

5,864

2015-01-16T14:52:54.000Z

2021-10-05T23:01:15.000Z

from ..core.tasks import delete_from_storage_task def delete_attribute_value_file(sender, instance, **kwargs): if file_url := instance.file_url: delete_from_storage_task.delay(file_url)

28.571429

60

0.78

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200

4.965517

0.586207

0.145833

0.236111

0.291667

0

0.135

200

6

61

33.333333

0.83237

0

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0.25

false

0

0.25

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0.5

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1

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null

0

1

0

1

0

null

0

1

0

5

5f9984f4d5503b2a33efbc98bc7b6b7c93124c04

84

py

Python

hex_maze/__init__.py

lebalz/hex_maze

df03a5176d367754e623fcfb82d3cd2a3e4b18c9

[ "MIT" ]

null

hex_maze/__init__.py

lebalz/hex_maze

df03a5176d367754e623fcfb82d3cd2a3e4b18c9

[ "MIT" ]

null

hex_maze/__init__.py

lebalz/hex_maze

df03a5176d367754e623fcfb82d3cd2a3e4b18c9

[ "MIT" ]

1

2021-09-26T14:30:50.000Z

from __future__ import annotations from .board import Board from .tile import Tile

16.8

34

0.821429

12

84

5.416667

0.5

0

0.154762

84

4

35

21

0.915493

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5fa8f090ba4f48e91a945f796d03c5bb1bdd08a9

98

py

Python

common/ml_prediction_client_test.py

stevensshi/smart-realestate

f00671a5ec9590b9f5b74595c3599317a722370e

[ "MIT" ]

4

2017-01-19T10:14:59.000Z

2019-06-25T23:14:29.000Z

common/ml_prediction_client_test.py

stevensshi/smart-realestate

f00671a5ec9590b9f5b74595c3599317a722370e

[ "MIT" ]

null

common/ml_prediction_client_test.py

stevensshi/smart-realestate

f00671a5ec9590b9f5b74595c3599317a722370e

[ "MIT" ]

1

2019-06-25T23:14:31.000Z

import ml_prediction_client as client print client.predict('94015', 'Single Family', 4, 2, 2000)

24.5

58

0.765306

15

98

4.866667

0.866667

0

0.127907

0.122449

98

3

59

32.666667

0.72093

0

0.183673

0

null

0

0.5

null

0.5

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null

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1

0

null

0

1

0

1

0

1

0

5

39560c5d7ad92eaecd4c6b350f76f2083092a74f

109

py

Python

uiautomator2/_url.py

snakx/uiautomator2

470af5f627838ed2c9195110b4659f7d34ce9343

[ "MIT" ]

1

2021-10-31T05:31:51.000Z

uiautomator2/_url.py

snakx/uiautomator2

470af5f627838ed2c9195110b4659f7d34ce9343

[ "MIT" ]

null

uiautomator2/_url.py

snakx/uiautomator2

470af5f627838ed2c9195110b4659f7d34ce9343

[ "MIT" ]

null

def dump_route(proto, host, port=4726): url = proto + '://' + host + ':' + str(port) + '/' return url

36.333333

54

0.53211

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109

4.071429

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0.048193

0.238532

109

3

55

36.333333

0.638554

0

0.045455

0

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0.333333

false

0

0.666667

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1

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null

1

0

1

0

null

0

1

0

1

0

5

398f2a8e905bb3d27768f2bc692f5c7c2e883bdd

215

py

Python

pymarlin/plugins/__init__.py

nifarn/PyMarlin

ea1f5f927aa85112ecebc206d53b5c3ee65704fa

[ "MIT" ]

20

2021-06-09T18:46:45.000Z

2022-02-09T01:08:13.000Z

pymarlin/plugins/__init__.py

nifarn/PyMarlin

ea1f5f927aa85112ecebc206d53b5c3ee65704fa

[ "MIT" ]

50

2021-06-09T17:50:35.000Z

2022-02-07T23:02:30.000Z

pymarlin/plugins/__init__.py

nifarn/PyMarlin

ea1f5f927aa85112ecebc206d53b5c3ee65704fa

[ "MIT" ]

5

2021-06-21T22:24:30.000Z

2021-12-21T17:08:21.000Z

'''pymarlin.plugins''' from .plugin_module_interface import PluginModuleInterface from .hf_seq_classification import HfSeqClassificationPlugin from .hf_ner import HfNERPlugin from .hf_seq2seq import HfSeq2SeqPlugin

35.833333

60

0.869767

24

215

7.541667

0.666667

0.099448

0

0.010101

0.07907

215

5

61

43

0.90404

0.074419

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

39d3f798dc6dd14bea34bf9e58ca426b8d22bdef

60

py

Python

lib/__init__.py

learning/SublimeTogetherServer

a089b24da1f49ac5748dcf9e78c247aac6691990

[ "MIT" ]

1

2017-07-05T07:16:13.000Z

lib/__init__.py

learning/SublimeTogetherServer

a089b24da1f49ac5748dcf9e78c247aac6691990

[ "MIT" ]

null

lib/__init__.py

learning/SublimeTogetherServer

a089b24da1f49ac5748dcf9e78c247aac6691990

[ "MIT" ]

null

from lib.commands import in_cmd, out_cmd import lib.handlers

30

40

0.85

11

60

4.454545

0.727273

0

0.1

60

2

41

30

0.907407

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

39defe9e39c23bcfa6bd498114aab3d3d24ab39f

168

py

Python

blog_comments/urls.py

msherman64/portal

e5399ef2ed3051d7c9a46c660f028c666ae22ca6

[ "Apache-2.0" ]

null

blog_comments/urls.py

msherman64/portal

e5399ef2ed3051d7c9a46c660f028c666ae22ca6

[ "Apache-2.0" ]

null

blog_comments/urls.py

msherman64/portal

e5399ef2ed3051d7c9a46c660f028c666ae22ca6

[ "Apache-2.0" ]

null

from django.conf.urls import url from . import views urlpatterns = [ url(r'^post/(?P<pk>\d+)/comment/$', views.add_comment_to_post, name='add_comment_to_post'), ]

24

95

0.708333

27

168

4.185185

0.62963

0.176991

0.212389

0.283186

0

0.119048

168

6

96

28

0.763514

0

0.27381

0.160714

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

5

f2d67424cec17400e6b8bf3f4582cd33234eebd5

129

py

Python

hc/front/admin.py

andela/hc-bigas-opus

b749367ee16e8afa95d5b9cbfe854d12157c64d1

[ "BSD-3-Clause" ]

2

2018-04-20T10:07:25.000Z

2018-04-20T13:48:21.000Z

hc/front/admin.py

andela/hc-bigas-opus

b749367ee16e8afa95d5b9cbfe854d12157c64d1

[ "BSD-3-Clause" ]

20

2018-03-21T12:43:28.000Z

2018-04-16T18:15:29.000Z

hc/front/admin.py

andela/hc-bigas-opus

b749367ee16e8afa95d5b9cbfe854d12157c64d1

[ "BSD-3-Clause" ]

1

2021-06-01T19:47:15.000Z

from django.contrib import admin from .models import FaqQuestions # Register your models here. admin.site.register(FaqQuestions)

25.8

33

0.829457

17

129

6.294118

0.647059

0

0.108527

129

5

33

25.8

0.930435

0.20155

0

1

0

true

0

0.666667

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0.666667

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

f2de076258c2789fa7e388c9a99c4cdb309873ae

79

py

Python

Emmanuel ANENE/Phase 1/Python Basic 1/Day2/dateTime.py

nkem1010/python-challenge-solutions

203cedc691094a83b110fc75764aac51dbbc1a03

[ "MIT" ]

null

Emmanuel ANENE/Phase 1/Python Basic 1/Day2/dateTime.py

nkem1010/python-challenge-solutions

203cedc691094a83b110fc75764aac51dbbc1a03

[ "MIT" ]

null

Emmanuel ANENE/Phase 1/Python Basic 1/Day2/dateTime.py

nkem1010/python-challenge-solutions

203cedc691094a83b110fc75764aac51dbbc1a03

[ "MIT" ]

null

import datetime print("Current date and time is:", datetime.datetime.today())

19.75

61

0.759494

11

79

5.454545

0.818182

0

0.113924

79

3

62

26.333333

0.857143

0

0.316456

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

84387e24b1476f57b8382d634b7858b8d766595b

122

py

Python

GUI/test.py

IDzyre/TankController

60ccdd6d4023be7a0e0155b508e8b067603bf8b2

[ "MIT" ]

4

2019-11-07T17:51:20.000Z

2020-08-27T05:00:43.000Z

GUI/test.py

IDzyre/TankController

60ccdd6d4023be7a0e0155b508e8b067603bf8b2

[ "MIT" ]

46

2020-11-01T05:39:29.000Z

2021-03-23T04:50:06.000Z

GUI/test.py

IDzyre/TankController

60ccdd6d4023be7a0e0155b508e8b067603bf8b2

[ "MIT" ]

12

2019-11-07T17:51:14.000Z

2020-09-21T16:06:15.000Z

#!python3 import libTC print('Version:', libTC.version()) print('LCD: ', libTC.lcd(0)) print(' ', libTC.lcd(1))

20.333333

34

0.598361

16

122

4.5625

0.5

0.219178

0

0.029703

0.172131

122

5

35

24.4

0.693069

0.065574

0

0.212389

0

1

0

true

0

0.25

0

0.25

0.75

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ffda4cd1ad08e4d86afb4a7b9240f6e6f3a2466c

19

py

Python

step00_helloworld/hello_world.py

hammadtariq/learn-python

f15da464f017d68ae5635dc31083f913bdb4eb0b

[ "MIT" ]

12

2016-05-07T21:08:46.000Z

2020-06-02T20:20:28.000Z

step00_helloworld/hello_world.py

almirah/learn-python

f15da464f017d68ae5635dc31083f913bdb4eb0b

[ "MIT" ]

null

step00_helloworld/hello_world.py

almirah/learn-python

f15da464f017d68ae5635dc31083f913bdb4eb0b

[ "MIT" ]

9

2016-06-03T10:40:11.000Z

2021-01-26T13:44:52.000Z

print("hello zia")

9.5

18

0.684211

3

19

4.333333

1

0

0.105263

19

1

19

0.764706

0

0.473684

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ffdf025aa06e0b842c8f4ceb33c737f3719d7d41

50

py

Python

beyond/orbits/__init__.py

priyatharsan/beyond

1061b870407d316d43e4d1351a7ec026629685ae

[ "MIT" ]

null

beyond/orbits/__init__.py

priyatharsan/beyond

1061b870407d316d43e4d1351a7ec026629685ae

[ "MIT" ]

null

beyond/orbits/__init__.py

priyatharsan/beyond

1061b870407d316d43e4d1351a7ec026629685ae

[ "MIT" ]

null

from .orbit import Orbit from .ephem import Ephem

16.666667

24

0.8

8

50

5

0.5

0

0.16

50

2

25

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

08152330e78c85fcd33b74d01b603a06de9e73c1

182

py

Python

teitoku/gateway/base_gateway.py

yukinotenshi/teitoku

adb54fb7f709e0bac0da6d6f6f8aa00702c2f9c5

[ "MIT" ]

null

teitoku/gateway/base_gateway.py

yukinotenshi/teitoku

adb54fb7f709e0bac0da6d6f6f8aa00702c2f9c5

[ "MIT" ]

null

teitoku/gateway/base_gateway.py

yukinotenshi/teitoku

adb54fb7f709e0bac0da6d6f6f8aa00702c2f9c5

[ "MIT" ]

1

2020-01-25T10:53:44.000Z

class Gateway: def __init__(self, dispatcher, message_parser): self.dispatcher = dispatcher self.message_parser = message_parser def run(self): pass

22.75

51

0.664835

20

182

5.7

0.5

0.342105

0

0.263736

182

7

52

26

0.850746

0

1

0.333333

false

0.166667

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

082171af307e2cf2e1acfaf5f2127e7785e962f2

64

py

Python

multilingual_t5/baseline_bn/__init__.py

sumanthd17/mt5

c99b4e3ad1c69908c852c730a1323ccb52d48f58

[ "Apache-2.0" ]

null

multilingual_t5/baseline_bn/__init__.py

sumanthd17/mt5

c99b4e3ad1c69908c852c730a1323ccb52d48f58

[ "Apache-2.0" ]

null

multilingual_t5/baseline_bn/__init__.py

sumanthd17/mt5

c99b4e3ad1c69908c852c730a1323ccb52d48f58

[ "Apache-2.0" ]

null

"""baseline_bn dataset.""" from .baseline_bn import BaselineBn

16

35

0.765625

8

64

5.875

0.75

0.425532

0

0.109375

64

3

36

21.333333

0.824561

0.3125

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

f26796c33037195501b273e30084dd96578f00e8

76

py

Python

vaayu/cfg/__init__.py

sayerhs/vaayu

668a35fc1cd77fe7c2e945abcde6f9763124c0b8

[ "Apache-2.0" ]

null

vaayu/cfg/__init__.py

sayerhs/vaayu

668a35fc1cd77fe7c2e945abcde6f9763124c0b8

[ "Apache-2.0" ]

null

vaayu/cfg/__init__.py

sayerhs/vaayu

668a35fc1cd77fe7c2e945abcde6f9763124c0b8

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """\ Vaayu Configuration =================== """

8.444444

23

0.368421

5

76

5.6

1

0

0.015873

0.171053

76

8

24

9.5

0.428571

0.815789

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

f28a2232e13cb05545ecbeb17aeea5e2050ab11a

183

py

Python

assets/examples/python trick 2.2 example.py

hyeonchan523/hyeonchan523.github.io

2267bd77ecf41be02236e78b9120a864329bbbef

[ "MIT" ]

null

assets/examples/python trick 2.2 example.py

hyeonchan523/hyeonchan523.github.io

2267bd77ecf41be02236e78b9120a864329bbbef

[ "MIT" ]

null

assets/examples/python trick 2.2 example.py

hyeonchan523/hyeonchan523.github.io

2267bd77ecf41be02236e78b9120a864329bbbef

[ "MIT" ]

null

names = ['Alice', 'Bob', 'Dilbert'] names = [ 'Alice', 'Bob', 'Dilbert', 'Jane' ] names = [ 'Alice', 'Bob', 'Dilbert', 'Jane' ]

12.2

35

0.371585

14

183

4.857143

0.357143

0.441176

0.573529

0.882353

0.705882

0

0.415301

183

15

36

12.2

0.635514

0

0.769231

0

0.288043

0

1

0

false

0

1

0

null

1

0

1

0

null

0

5

f2aeb9c74955eac18c63a06d2d11d41fcd483f39

141

py

Python

3rdparty/wsgi_intercept/mechanoid_intercept/__init__.py

arda2525/fixofx

1792d94697af682ca1d4a75cfefe98465d95a288

[ "Apache-2.0" ]

50

2015-01-01T00:14:04.000Z

2020-11-26T04:44:30.000Z

3rdparty/wsgi_intercept/mechanoid_intercept/__init__.py

arda2525/fixofx

1792d94697af682ca1d4a75cfefe98465d95a288

[ "Apache-2.0" ]

3

2016-01-31T17:14:41.000Z

2017-03-01T13:36:17.000Z

3rdparty/wsgi_intercept/mechanoid_intercept/__init__.py

arda2525/fixofx

1792d94697af682ca1d4a75cfefe98465d95a288

[ "Apache-2.0" ]

15

2015-10-29T09:04:21.000Z

2022-01-19T17:33:25.000Z

"""intercept connections made using a mechanoid Browser. (see wsgi_intercept/__init__.py for examples) """ from wsgi_browser import Browser

23.5

56

0.801418

19

141

5.631579

0.789474

0

0.120567

141

6

57

23.5

0.862903

0.70922

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5