prompt large_stringlengths 72 9.34k | completion large_stringlengths 0 7.61k |
|---|---|
<|file_name|>constants.py<|end_file_name|><｜fim▁begin｜>"""Let's Encrypt constants."""
import logging
from acme import challenges
SETUPTOOLS_PLUGINS_ENTRY_POINT = "letsencrypt.plugins"
"""Setuptools entry point group name for plugins."""
CLI_DEFAULTS = dict(
config_files=["/etc/letsencrypt/cli.ini"],
verbos... | |
<|file_name|>model_control_one_enabled_Difference_LinearTrend_Seasonal_Hour_NoAR.py<|end_file_name|><｜fim▁begin｜>import tests.model_control.test_ozone_custom_models_enabled as testmod<｜fim▁hole｜>testmod.build_model( ['Difference'] , ['LinearTrend'] , ['Seasonal_Hour'] , ['NoAR'] );<｜fim▁end｜> | |
<|file_name|>test_points.py<|end_file_name|><｜fim▁begin｜># (C) British Crown Copyright 2014 - 2015, Met Office
#
# This file is part of Iris.
#
# Iris is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, eit... | class TestStringCoordPlot(TestGraphicStringCoord):
def test_yaxis_labels(self):
qplt.points(self.cube, coords=('bar', 'str_coord')) |
<|file_name|>test_points.py<|end_file_name|><｜fim▁begin｜># (C) British Crown Copyright 2014 - 2015, Met Office
#
# This file is part of Iris.
#
# Iris is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, eit... | def test_yaxis_labels(self):
qplt.points(self.cube, coords=('bar', 'str_coord'))
self.assertBoundsTickLabels('yaxis')
def test_xaxis_labels(self):
qplt.points(self.cube, coords=('str_coord', 'bar'))
self.assertBoundsTickLabels('xaxis') |
<|file_name|>test_points.py<|end_file_name|><｜fim▁begin｜># (C) British Crown Copyright 2014 - 2015, Met Office
#
# This file is part of Iris.
#
# Iris is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, eit... | qplt.points(self.cube, coords=('bar', 'str_coord'))
self.assertBoundsTickLabels('yaxis') |
<|file_name|>test_points.py<|end_file_name|><｜fim▁begin｜># (C) British Crown Copyright 2014 - 2015, Met Office
#
# This file is part of Iris.
#
# Iris is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, eit... | qplt.points(self.cube, coords=('str_coord', 'bar'))
self.assertBoundsTickLabels('xaxis') |
<|file_name|>test_points.py<|end_file_name|><｜fim▁begin｜># (C) British Crown Copyright 2014 - 2015, Met Office
#
# This file is part of Iris.
#
# Iris is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, eit... | import iris.quickplot as qplt |
<|file_name|>test_points.py<|end_file_name|><｜fim▁begin｜># (C) British Crown Copyright 2014 - 2015, Met Office
#
# This file is part of Iris.
#
# Iris is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, eit... | tests.main() |
<|file_name|>test_points.py<|end_file_name|><｜fim▁begin｜># (C) British Crown Copyright 2014 - 2015, Met Office
#
# This file is part of Iris.
#
# Iris is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, eit... | test_yaxis_labels |
<|file_name|>test_points.py<|end_file_name|><｜fim▁begin｜># (C) British Crown Copyright 2014 - 2015, Met Office
#
# This file is part of Iris.
#
# Iris is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, eit... | test_xaxis_labels |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | VERSION = '1.0'
virtual_function_list = []
def create(self, context):
# To ensure the creating type is PF
if self.type != 'pf':
raise exception.InvalidDeployType()
super(PhysicalFunction, self).create(context)
def save(self, context):
"""In addition to save ... |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | if self.type != 'pf':
raise exception.InvalidDeployType()
super(PhysicalFunction, self).create(context) |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | """In addition to save the pf, it should also save the
vfs associated with this pf
"""
# To ensure the saving type is PF
if self.type != 'pf':
raise exception.InvalidDeployType()
for exist_vf in self.virtual_function_list:
exist_vf.save(context)
... |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | """add a vf object to the virtual_function_list.
If the vf already exists, it will ignore,
otherwise, the vf will be appended to the list
"""
if not isinstance(vf, VirtualFunction) or vf.type != 'vf':
raise exception.InvalidDeployType()
for exist_vf in self.vi... |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | """remove a vf from the virtual_function_list
if the vf does not exist, ignore it
"""
for idx, exist_vf in self.virtual_function_list:
if base.obj_equal_prims(vf, exist_vf):
removed_vf = self.virtual_function_list.pop(idx)
removed_vf.destroy(co... |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | """Delete a the pf from the DB."""
del self.virtual_function_list[:]
super(PhysicalFunction, self).destroy(context) |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | """Find a DB Physical Function and return an Obj Physical Function.
In addition, it will also finds all the Virtual Functions associated
with this Physical Function and place them in virtual_function_list
"""
db_pf = cls.dbapi.deployable_get(context, uuid)
obj_pf = cls._f... |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | obj_dpl_list = []
filters['type'] = 'pf'
db_dpl_list = cls.dbapi.deployable_get_by_filters(context, filters,
sort_key=sort_key,
sort_dir=sort_dir,
... |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | """Converts a physical function to a formal object.
:param obj: An object of the class.
:param db_obj: A DB model of the object
:return: The object of the class with the database entity added
"""
obj = Deployable._from_db_object(obj, db_obj)
if cls is PhysicalFun... |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | raise exception.InvalidDeployType() |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | raise exception.InvalidDeployType() |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | raise exception.InvalidDeployType() |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | LOG.warning("The vf already exists")
return None |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | removed_vf = self.virtual_function_list.pop(idx)
removed_vf.destroy(context)
return |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | obj.virtual_function_list = [] |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | create |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | save |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | add_vf |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | delete_vf |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | destroy |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | get |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | get_by_filter |
<|file_name|>physical_function.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Huawei Technologies Co.,LTD.
# 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
#
... | _from_db_object |
<|file_name|>scd.py<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜><｜fim▁end｜> | # extension imports
from _NetworKit import PageRankNibble, GCE |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | unbalanced = {}
for reaction in model.reactions:
if reaction.annotation.get("SBO") not in NOT_MASS_BALANCED_TERMS:
balance = reaction.check_mass_balance()
if balance:
unbalanced[reaction] = balance
return unbalanced |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | warn("no longer necessary, done by optlang solver interfaces",
DeprecationWarning)
errors = []
for reaction in model.reactions:
if reaction.lower_bound > reaction.upper_bound:
errors.append("Reaction '%s' has lower bound > upper bound" %
reaction.id)
... |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | errors = []
for met in model.metabolites:
if met.formula is not None and len(met.formula) > 0:
if not met.formula.isalnum():
errors.append("Metabolite '%s' formula '%s' not alphanumeric" %
(met.id, met.formula))
return errors |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | balance = reaction.check_mass_balance()
if balance:
unbalanced[reaction] = balance |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | unbalanced[reaction] = balance |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | errors.append("Reaction '%s' has lower bound > upper bound" %
reaction.id) |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | errors.append("Reaction '%s' has infinite lower_bound" %
reaction.id) |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | errors.append("Reaction '%s' has NaN for lower_bound" %
reaction.id) |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | errors.append("Reaction '%s' has infinite upper_bound" %
reaction.id) |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | errors.append("Reaction '%s' has NaN for upper_bound" %
reaction.id) |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | if not met.formula.isalnum():
errors.append("Metabolite '%s' formula '%s' not alphanumeric" %
(met.id, met.formula)) |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | errors.append("Metabolite '%s' formula '%s' not alphanumeric" %
(met.id, met.formula)) |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | check_mass_balance |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | check_reaction_bounds |
<|file_name|>validate.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import isinf, isnan
from warnings import warn
NOT_MASS_BALANCED_TERMS = {"SBO:0000627", # EXCHANGE
"SBO:0000628", # DEMAND
"SBO:000062... | check_metabolite_compartment_formula |
<|file_name|>fabfile.py<|end_file_name|><｜fim▁begin｜>from fabric.api import local
def html():<｜fim▁hole｜> local('hovercraft -t ./sixfeetup_hovercraft formation_flask.rst ./build/')<｜fim▁end｜> | |
<|file_name|>fabfile.py<|end_file_name|><｜fim▁begin｜>from fabric.api import local
def html():
<|fim_middle|>
<｜fim▁end｜> | local('hovercraft -t ./sixfeetup_hovercraft formation_flask.rst ./build/') |
<|file_name|>fabfile.py<|end_file_name|><｜fim▁begin｜>from fabric.api import local
def <|fim_middle|>():
local('hovercraft -t ./sixfeetup_hovercraft formation_flask.rst ./build/')
<｜fim▁end｜> | html |
<|file_name|>0020_auto__add_field_question_order.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Question.order'
... | u'survey.response': {
'Meta': {'object_name': 'Response'},
'answer': ('django.db.models.fields.TextField', [], {}), |
<|file_name|>0020_auto__add_field_question_order.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
<|fim_middle|>
<｜fim▁end｜> | def forwards(self, orm):
# Adding field 'Question.order'
db.add_column(u'survey_question', 'order',
self.gf('django.db.models.fields.IntegerField')(default=0),
keep_default=False)
def backwards(self, orm):
# Deleting field 'Question.order'
... |
<|file_name|>0020_auto__add_field_question_order.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Question.order'
... | db.add_column(u'survey_question', 'order',
self.gf('django.db.models.fields.IntegerField')(default=0),
keep_default=False) |
<|file_name|>0020_auto__add_field_question_order.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Question.order'
... | db.delete_column(u'survey_question', 'order') |
<|file_name|>0020_auto__add_field_question_order.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def <|fim_middle|>(self, orm):
# Adding field 'Question.orde... | forwards |
<|file_name|>0020_auto__add_field_question_order.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Question.order'
... | backwards |
<|file_name|>urls.py<|end_file_name|><｜fim▁begin｜>from django.conf.urls import patterns, include, url
from django.contrib import admin
from api import views
admin.autodiscover()
from rest_framework.routers import DefaultRouter
router = DefaultRouter()
router.register(r'headings', views.HeadingViewSet)
router.register... | ) |
<|file_name|>package.py<|end_file_name|><｜fim▁begin｜># Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyIlmbase(AutotoolsPackage):
"""The P... |
return args |
<|file_name|>package.py<|end_file_name|><｜fim▁begin｜># Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyIlmbase(AutotoolsPackage):
<|fim_mi... | """The PyIlmBase libraries provides python bindings for the IlmBase libraries."""
homepage = "https://github.com/AcademySoftwareFoundation/openexr/tree/v2.3.0/PyIlmBase"
url = "https://github.com/AcademySoftwareFoundation/openexr/releases/download/v2.3.0/pyilmbase-2.3.0.tar.gz"
version('2.3.0', s... |
<|file_name|>package.py<|end_file_name|><｜fim▁begin｜># Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyIlmbase(AutotoolsPackage):
"""The P... | spec = self.spec
args = [
'--with-boost-python-libname=boost_python{0}'.format(
spec['python'].version.up_to(2).joined)
]
return args |
<|file_name|>package.py<|end_file_name|><｜fim▁begin｜># Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyIlmbase(AutotoolsPackage):
"""The P... | configure_args |
<|file_name|>network_info.py<|end_file_name|><｜fim▁begin｜>from JumpScale import j
descr = """
This jumpscript returns network info
"""
category = "monitoring"
organization = "jumpscale"
author = "kristof@incubaid.com"
license = "bsd"
version = "1.0"<｜fim▁hole｜>def action():
return j.sal.nettools.getNetworkInfo()
... | roles = []
|
<|file_name|>network_info.py<|end_file_name|><｜fim▁begin｜>from JumpScale import j
descr = """
This jumpscript returns network info
"""
category = "monitoring"
organization = "jumpscale"
author = "kristof@incubaid.com"
license = "bsd"
version = "1.0"
roles = []
def action():
<|fim_middle|>
if __name__ == "__ma... | return j.sal.nettools.getNetworkInfo() |
<|file_name|>network_info.py<|end_file_name|><｜fim▁begin｜>from JumpScale import j
descr = """
This jumpscript returns network info
"""
category = "monitoring"
organization = "jumpscale"
author = "kristof@incubaid.com"
license = "bsd"
version = "1.0"
roles = []
def action():
return j.sal.nettools.getNetworkInfo(... | print(action()) |
<|file_name|>network_info.py<|end_file_name|><｜fim▁begin｜>from JumpScale import j
descr = """
This jumpscript returns network info
"""
category = "monitoring"
organization = "jumpscale"
author = "kristof@incubaid.com"
license = "bsd"
version = "1.0"
roles = []
def <|fim_middle|>():
return j.sal.nettools.getNetw... | action |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | """Return the probability the module assignes each label""" |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | """A basic lstm neural network"""
def __init__(self, num_hidden_layers=3):
ClassificationModule.__init__(self, "Description and reponame LSTM", "A LSTM reading the description and reponame character by character")
hidden_size = 300
self.maxlen = 300
# Set output_size
... |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | ClassificationModule.__init__(self, "Description and reponame LSTM", "A LSTM reading the description and reponame character by character")
hidden_size = 300
self.maxlen = 300
# Set output_size
self.output_size = 7 # Hardcoded for 7 classes
model = Sequential()
... |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | """Reset classification module to status before training"""
resetWeights(self.model) |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | """Trainiere (inkrementell) mit Sample. Evtl zusätzlich mit best. Menge alter Daten, damit overfitten auf neue Daten verhindert wird."""
readme_vec = self.formatInputData(sample)
label_index = getLabelIndex(sample)
label_one_hot = np.expand_dims(oneHot(label_index), axis=0) # [1, 0, 0, .... |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | ""Trainiere mit Liste von Daten. Evtl weitere Paramter nötig (nb_epoch, learning_rate, ...)"""
train_samples = []
train_lables = []
for sample in samples:
formatted_sample = self.formatInputData(sample)[0].tolist()
train_samples.append(formatted_sample)
... |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | "Gibt zurück, wie der Klassifikator ein gegebenes Sample klassifizieren würde"""
if not self.isTrained:
return 0
sample = self.formatInputData(sample)
return np.argmax(self.model.predict(sample))
|
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | eturn the probability the module assignes each label"""
if not self.isTrained:
return [0, 0, 0, 0, 0, 0, 0, 0]
sample = self.formatInputData(sample)
prediction = self.model.predict(sample)[0]
return [np.argmax(prediction)] + list(prediction) # [0] So 1-D array is retu... |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | xtract description and transform to vector"""
sd = getDescription(sample)
sd += getName(sample)
# Returns numpy array which contains 1 array with features
return np.expand_dims(lstmEncode(sd, maxlen=self.maxlen), axis=0)
|
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | rn 0
|
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | rn [0, 0, 0, 0, 0, 0, 0, 0]
|
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | __init__ |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | resetAllTraining |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | trainOnSample |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | rain( |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | edictLabel(s |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | ictLabelAndProbability(sel |
<|file_name|>descriptionreponamelstm.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Models.FeatureProcessing import *
from keras.models import Sequential
from keras.layers import Activation, Dense, LSTM
from keras.optimizers import Adam, SGD
import numpy as np
import abc
from Classif... | atInputData(sel |
<|file_name|>instance.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. 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/... | #
# Unless required by applicable law or agreed to in writing, software |
<|file_name|>instance.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. 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/... | return ''.join([COMPUTE_URL_BASE, 'projects/', project,
'/global/', collection, '/', name]) |
<|file_name|>instance.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. 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/... | return ''.join([COMPUTE_URL_BASE, 'projects/', project,
'/zones/', zone, '/', collection, '/', name]) |
<|file_name|>instance.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. 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/... | """Generate configuration."""
base_name = context.properties['instanceName']
items = []
for key, value in context.properties['metadata'].iteritems():
items.append({
'key': key,
'value': value
})
metadata = {'items': items}
# Properties for the container-based instance.
insta... |
<|file_name|>instance.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. 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/... | GlobalComputeUrl |
<|file_name|>instance.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. 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/... | ZonalComputeUrl |
<|file_name|>instance.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. 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/... | GenerateConfig |
<|file_name|>configtest.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
#
# Config file test app (together with test.cfg file)
#
import os, sys
sys.path.append("..")
import configfile
cfg = configfile.ConfigFile("test.cfg")
cfg.setCfgValue("name1", "value1")
cfg.setCfgValue("name2", "value2")
cfg.selectSection(... | |
<|file_name|>mainHandler.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
# @author victor li nianchaoli@msn.cn
# @date 2015/10/07<｜fim▁hole｜>import baseHandler
class MainHandler(baseHandler.RequestHandler):
def get(self):
self.redirect('/posts/last')<｜fim▁end｜> | |
<|file_name|>mainHandler.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
# @author victor li nianchaoli@msn.cn
# @date 2015/10/07
import baseHandler
class MainHandler(baseHandler.RequestHandler):
<|fim_middle|>
<｜fim▁end｜> | def get(self):
self.redirect('/posts/last') |
<|file_name|>mainHandler.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
# @author victor li nianchaoli@msn.cn
# @date 2015/10/07
import baseHandler
class MainHandler(baseHandler.RequestHandler):
def get(self):
<|fim_middle|>
<｜fim▁end｜> | self.redirect('/posts/last') |
<|file_name|>mainHandler.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
# @author victor li nianchaoli@msn.cn
# @date 2015/10/07
import baseHandler
class MainHandler(baseHandler.RequestHandler):
def <|fim_middle|>(self):
self.redirect('/posts/last')
<｜fim▁end｜> | get |
<|file_name|>step6.py<|end_file_name|><｜fim▁begin｜>import json
f = open('text-stripped-3.json')
out = open('text-lines.json', 'w')
start_obj = json.load(f)
end_obj = {'data': []}
characters_on_stage = []
currently_speaking = None
last_scene = '1.1'
for i in range(len(start_obj['data'])):
obj = start_obj['data'][i... |
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