Instruction stringlengths 362 7.83k | output_code stringlengths 1 945 |
|---|---|
Next line prediction: <|code_start|># terminal_mv.py
#
# Copyright (C) 2014-2016 Kano Computing Ltd.
# License: http://www.gnu.org/licenses/gpl-2.0.txt GNU GPL v2
#
# A terminal for one of the challenges
class TerminalMv(TerminalCd):
terminal_commands = ["ls", "cat", "cd", "mv"]
def do_mv(self, line):
... | return completions |
Here is a snippet: <|code_start|> "challenge": 24,
"step": 4
},
{
"challenge": 26,
"step": 1,
"exists": False
},
{
"challenge": 27,
... | "exists": False |
Continue the code snippet: <|code_start|>#!/usr/bin/env python
#
# Copyright (C) 2014, 2015 Kano Computing Ltd.
# License: http://www.gnu.org/licenses/gpl-2.0.txt GNU GPL v2
#
# A terminal for one of the challenges
class TerminalChmod(TerminalNano):
terminal_commands = [
"ls", "cat", "cd", "mv", "echo",... | def complete_chmod(self, text, line, begidx, endidx): |
Continue the code snippet: <|code_start|> ]
},
{
"name": "grapes",
"contents": get_story_file("grapes")
},
{
"name": "milk",
"contents": get_story_file("milk")
},
{
"name": "pie",
"contents... | { |
Next line prediction: <|code_start|># test_helper_functions.py
#
# Copyright (C) 2014-2016 Kano Computing Ltd.
# License: http://www.gnu.org/licenses/gpl-2.0.txt GNU GPL v2
#
# Test helper functions
@pytest.yield_fixture
def test_env():
with EnvironmentVarGuard() as env:
yield env
def test_wrap_in_box... | " ----------------------- ", |
Next line prediction: <|code_start|>
@pytest.yield_fixture
def test_env():
with EnvironmentVarGuard() as env:
yield env
def test_wrap_in_box():
output = wrap_in_box([
'{{gb:This is a long string}}',
'Short {{lb:string}}',
])
assert output == [
" ----------------------... | 'en.UTF-8', |
Predict the next line after this snippet: <|code_start|># clearing.py
#
# Copyright (C) 2014-2017 Kano Computing Ltd.
# License: http://www.gnu.org/licenses/gpl-2.0.txt GNU GPL v2
#
house = {
"name": "house",
"children": [
{
"name": "Swordmaster",
"contents": get_story_file("swo... | "exists": False |
Based on the snippet: <|code_start|>
chest = {
"name": "chest",
"children": [
{
"name": "scroll",
"contents": get_story_file("scroll"),
},
{
"name": "torn-note",
"contents": get_story_file("torn-note")
}
],
"challenges": [
... | "step": 5 |
Predict the next line after this snippet: <|code_start|> _("What would you like to ask him?"),
_("\n{{yb:1: \"How did you create your tools?\"}}"),
_("{{yb:2: \"What's the next big tool you want to create?\"}}"),
_("{{yb:3: \"Are you going into hiding now?\"}}"),
_("{{yb:4: \"... | self.send_hint(text) |
Given the following code snippet before the placeholder: <|code_start|># challenge_27.py
#
# Copyright (C) 2014-2016 Kano Computing Ltd.
# License: http://www.gnu.org/licenses/gpl-2.0.txt GNU GPL v2
#
# A chapter of the story
# ----------------------------------------------------------------------------------------
... | end_dir = "~/town/east/shed-shop" |
Given the following code snippet before the placeholder: <|code_start|> self._nano.set_goal_nano_filepath("~/town/east/shed-shop/best-horn-in-the-world.sh")
def check_command(self, line):
if line == "cat Eleanor":
self.send_hint("\n" + self.companion_speech)
else:
ret... | _("{{rb:Use}} {{yb:./best-horn-in-the-world.sh}} {{rb:to run the script.}}") |
Predict the next line for this snippet: <|code_start|># challenge_27.py
#
# Copyright (C) 2014-2016 Kano Computing Ltd.
# License: http://www.gnu.org/licenses/gpl-2.0.txt GNU GPL v2
#
# A chapter of the story
# ----------------------------------------------------------------------------------------
class Step1(Step... | hints = [ |
Next line prediction: <|code_start|> return 27, 3
class Step3(StepTemplateNano):
story = [
_("Now time to test your script!"),
_("Use {{yb:./best-horn-in-the-world.sh}} to run it.")
]
start_dir = "~/town/east/shed-shop"
end_dir = "~/town/east/shed-shop"
commands = [
... | _("\nBernard: {{Bb:\"The tool is working! Wonderful! " +\ |
Continue the code snippet: <|code_start|>
def write_wordlist(self, wordlist, *path):
wordlist.output('tsv', filename=self.get_path(*path, 'words'), ignore='all',
prettify=False)
print(self.get_path(*path))
def pinyin(self, chars):
py = []
for char in chars:
... | def gbk_and_big5(self, chars): |
Predict the next line for this snippet: <|code_start|> idx = 0
header = [h.lower() for h in data[0]]
if key in header:
idx = header.index(key.lower())
for line in data[1:]:
d[line[idx]] = OrderedDict(zip(
[prefix+'_'+h if prefix else h for h in header],
line))
... | self.path = self.get_path('') |
Predict the next line after this snippet: <|code_start|>#from pylexibank.util import with_sys_path
_languages = load_languages(return_type='dict')
def csv2dict(path, key='id', prefix=''):
d = {}
with UnicodeReader(path, delimiter='\t') as reader:
<|code_end|>
using the current file's imports:
from clldutil... | data = list(reader) |
Predict the next line after this snippet: <|code_start|>
def md_sources():
sources = sorted(glob(cddb_path('datasets', '*', '__init__.py')))
text = '# Datasets in the CDDB\n'
text += ' | ' .join(['DATASET', 'LANGUAGES', 'WORDS', 'CHARACTERS',
'STRUCTURES', 'TREES', 'INVENTORIES']) + '\n'
te... | f.write(text) |
Using the snippet: <|code_start|>
@test.functional
class TestARS(test.Case):
def testNormal(self):
mu = 5.
sigma = 1.
ars = ARS(Gauss(mu, sigma))
<|code_end|>
, determine the next line of code. You have imports:
import numpy
import csb.test as test
from csb.statistics.ars import ARS, Gau... | ars.initialize([mu - 1., mu + 1.1], z0=-10., zmax=30) |
Continue the code snippet: <|code_start|>
@test.functional
class TestARS(test.Case):
def testNormal(self):
mu = 5.
sigma = 1.
ars = ARS(Gauss(mu, sigma))
ars.initialize([mu - 1., mu + 1.1], z0=-10., zmax=30)
samples = numpy.array([ars.sample() for i in range(10000)])
... | self.assertAlmostEqual(sigma, numpy.std(samples), delta=0.5) |
Predict the next line after this snippet: <|code_start|> def testBoltzmann(self):
e = numpy.linspace(-50, 1000, 1000)
be = BoltzmannEnsemble(beta=1,)
te = be.energy(e)
for i in range(len(e)):
self.assertEqual(e[i], te[i])
be = BoltzmannEnsemble(beta=0.00... | self.assertAlmostEqual(ee[i], te[i], delta=1e-5) |
Given snippet: <|code_start|>
tsallis = TsallisEnsemble(q=1.1, e_min= -50.)
te = tsallis.energy(e)
q = 1.1
ee = q / (q - 1.) * csb.numeric.log(1 + (q - 1) * (e + 50.)) - 50
for i in range(len(e)):
self.assertAlmostEqual(ee[i], te[i], delta=1e-5)
def tes... | test.Console() |
Continue the code snippet: <|code_start|>
try:
__doc__ = open('README.rst', encoding="utf-8").read()
except IOError:
__doc__ = ""
NAME = ROOT
AUTHOR = "Michael Habeck et al."
EMAIL = "ivan.kalev@gmail.com"
URL = "http://github.com/csb-toolbox"
SUMMARY = "Computational Structural Biology Toolbox"
DESCRIPTION ... | def build(): |
Predict the next line after this snippet: <|code_start|> pass
def on_epoch_end(self, epoch, epoch_log):
pass
def on_batch_begin(self, batch):
pass
def on_batch_end(self, batch, batch_log):
pass
def set_params(self, params):
self.params = params
def set_mod... | self._allow_unused_metric_testing = False |
Here is a snippet: <|code_start|>
""" MIT License
Copyright (c) 2019 Intel ISL (Intel Intelligent Systems Lab)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including witho... | def load(self, path): |
Given snippet: <|code_start|>
""" MIT License
Copyright (c) 2019 Intel ISL (Intel Intelligent Systems Lab)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without l... | class BaseModel(torch.nn.Module): |
Based on the snippet: <|code_start|>
""" MIT License
Copyright (c) 2019 Intel ISL (Intel Intelligent Systems Lab)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including wi... | def load(self, path): |
Given snippet: <|code_start|>
if init_val is not None:
self.layers[-1].linear.bias.data.fill_(init_val)
def forward(self, x):
x = self.embed(x)
embed = x
for idl, l in enumerate(self.layers):
if idl % self.skip == 0 and idl > 0 and idl < len(self.layers) - 1... | def __init__(self, in_ch, out_ch, act_fn=None, norm=None): |
Given the code snippet: <|code_start|> self.file_list = []
for g in gaps:
file_list = sorted(glob(join(data_path, f'shuffle_False_gap_{g:02d}_*.pt')))
self.file_list += file_list
frame_data_path = join(data_root, frame_prefix, track_name)
... | unit = 1.0 |
Here is a snippet: <|code_start|> self.add_module('up_%04d' % k, self.up_conv[-1])
ch_in = ch_in // 2
# This is for matching original unet implementation.
self.up_conv += [Block(ch_in * 2, ch_in, padding=1,
kernel_size=3, **conv_setup)]
self.... | x = self.output_conv(x) |
Predict the next line after this snippet: <|code_start|># 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 CONDITI... | else: |
Continue the code snippet: <|code_start|> if opt.tensorboard:
if opt.tensorboard_keyword != 'none':
[parent_dir, sub_dir] = logdir.split(f'/{opt.tensorboard_keyword}/')
tf_logdir = os.path.join(
parent_dir, opt.tensorboard_keyword, 'tensorboard', s... | Model = models.get_model(opt.net) |
Given the following code snippet before the placeholder: <|code_start|> # Old saved model does not have epoch as additional values
print(str(err))
epoch_loss_csv = os.path.join(logdir, 'epoch_loss.csv')
if opt.resume == -1:
try:
... | for p in net.parameters(): |
Here is a snippet: <|code_start|> os.system('rm -r ' + tf_logdir)
tensorboard_logger = loggers.TensorBoardLogger(
tf_logdir, opt.html_logger,
allow_unused_fields='all'
)
logger_list.append(
tensorboard_logger
... | dataset_vali = dataset(opt, mode='vali', model=model) |
Predict the next line for this snippet: <|code_start|> if opt.full_logdir is None:
logdir = os.path.join(opt.logdir, exprdir, str(opt.expr_id))
else:
logdir = opt.full_logdir
if opt.resume == 0:
if os.path.isdir(logdir):
if opt.force_overwrite:
print(
... | else: |
Given snippet: <|code_start|> print(str_warning, 'training from scratch...')
os.system('mkdir -p ' + logdir)
else:
opt_f_old = os.path.join(logdir, 'opt.pt')
opt = options_train.overwrite(opt, opt_f_old, unique_opt_params)
# Save opt
if os.path.exists(os.p... | else: |
Given the code snippet: <|code_start|>#
# 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 ... | exprdir += ('_' + opt.suffix.format(**vars(opt))) if opt.suffix != '' else '' |
Here is a snippet: <|code_start|> device = torch.device('cpu')
else:
loadlib.set_gpu(opt.gpu)
device = torch.device('cuda')
global_rank = 0 # as if this is the master node
else:
if opt.multiprocess_distributed:
opt.global_rank = opt.node_rank *... | del prev_best_data |
Here is a snippet: <|code_start|>Dataset = datasets.get_dataset(opt_train.dataset)
dataset = Dataset(opt_train, mode='vali', model=model)
dataloader = torch.utils.data.DataLoader(
dataset,
batch_size=opt.batch_size,
num_workers=opt.workers,
pin_memory=True,
drop_last=False,
shuffle=False
)
n_bat... | html_logger.training = False |
Predict the next line after this snippet: <|code_start|> html_logger = loggers.HtmlLogger(html_summary_filepath)
logger_list.append(html_logger)
logger = loggers.ComposeLogger(logger_list)
###################################################
print(str_stage, "Setting up models")
Model = models.get_model(opt.net... | dataset, |
Based on the snippet: <|code_start|> device = torch.device('cpu')
else:
loadlib.set_gpu(opt.gpu)
device = torch.device('cuda')
if opt.manual_seed is not None:
loadlib.set_manual_seed(opt.manual_seed)
###################################################
print(str_stage, "Setting up output directory")
out... | html_summary_filepath = os.path.join(opt.output_dir, 'summary') |
Using the snippet: <|code_start|># Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | opt.full_logdir = None |
Given the following code snippet before the placeholder: <|code_start|> pin_memory=True,
drop_last=False,
shuffle=False
)
n_batches = len(dataloader)
dataiter = iter(dataloader)
print(str_verbose, "Time spent in data IO initialization: %.2fs" %
(time.time() - start_time))
print(str_verbose, "# test poi... | model.test_on_batch(i, batch) |
Given the following code snippet before the placeholder: <|code_start|># Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICEN... | t_embed = nn.Identity() |
Based on the snippet: <|code_start|># Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | xyz_embed = nn.Identity() |
Given the code snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
... | self.assertEqual('http://xp.to', shame[0]['url']) |
Given snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
'so... | provider.coverage.set([sc, go]) |
Based on the snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
sp, *_ = State.objects.get_or_create(abbr='GO', name='São Paulo')
prop... | self.assertEqual(200, self.resp.status_code) |
Predict the next line for this snippet: <|code_start|> sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
sp, *_ = State.objects.get_or_create(abbr='GO', name='São Paulo')
props_published = {'name': 'Xpto',
... | def test_contents(self): |
Here is a snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
self.resp = self.client.get(resolve_url('new'))
def test_get(self):
self.assertEqual(200, self.resp.status_code)
def test_type(self):
self.assertEqual('text/html', self.resp['Content-Type'][0:9])
def... | self.assertTemplateUsed(self.resp, 'core/provider_form.html') |
Predict the next line for this snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
self.resp = self.client.get(resolve_url('new'))
def test_get(self):
self.assertEqual(200, self.resp.status_code)
def test_type(self):
self.assertEqual('text/html', self.resp['Content-... | form = self.resp.context['form'] |
Given the code snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
self.resp = self.client.get(resolve_url('new'))
def test_get(self):
self.assertEqual(200, self.resp.status_code)
def test_type(self):
self.assertEqual('text/html', self.resp['Content-Type'][0:9])
... | for text, count in tags: |
Predict the next line for this snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
sp, *_ = State.objects.get_or_create(abbr='SP', name='São Pa... | with self.subTest(): |
Given snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
sp, *_ = State.objects.get_or_create(abbr='SP', name='São Paulo')
props = {'n... | provider.coverage.set([sc, go]) |
Predict the next line for this snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.... | self.assertEqual('http://xp.to', fame[0]['url']) |
Using the snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
... | self.assertEqual('application/json', self.resp['Content-Type']) |
Based on the snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
... | with self.subTest(): |
Based on the snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
... | self.assertTemplateUsed(self.resp, 'markdown/shame.md') |
Predict the next line for this snippet: <|code_start|> def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
'sourc... | self.assertEqual('Lorem ipsum', fame[0]['other']) |
Here is a snippet: <|code_start|> def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
'source': 'http://twitter.c... | self.assertEqual('Lorem ipsum', fame[0]['other']) |
Here is a snippet: <|code_start|>
class TestPostInvalid(TestCase):
def setUp(self):
User.objects.create_superuser(username='two', password='', email='42@xp.to')
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiá... | resp = self.client.post(resolve_url('api:provider', self.provider.pk), invalid_data) |
Predict the next line after this snippet: <|code_start|>
class TestPostInvalid(TestCase):
def setUp(self):
User.objects.create_superuser(username='two', password='', email='42@xp.to')
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_crea... | invalid_data = {'name': 'Xpto', 'coverage': ['xp', 'to'], 'url': ''} |
Continue the code snippet: <|code_start|> ordering = ['name']
class Provider(models.Model):
FAME = 'F'
SHAME = 'S'
CATEGORIES = ((FAME, 'Hall of Fame (não utilizará limites/fraquia)'),
(SHAME, 'Hall of Shame (utilizará limites/franquia)'))
CATEGORIES_DICT = dict(CATEGORIES)
... | OTHER = 'O' |
Continue the code snippet: <|code_start|>
class TestProviderForm(TestCase):
def test_form_has_fields(self):
form = ProviderForm()
fields = ['category', 'name', 'url', 'source', 'coverage', 'other']
self.assertSequenceEqual(list(form.fields), fields)
def test_other_is_optional(self):
... | self.assertFalse(form.errors) |
Predict the next line for this snippet: <|code_start|>
class TestProviderForm(TestCase):
def test_form_has_fields(self):
form = ProviderForm()
<|code_end|>
with the help of current file imports:
from django.test import TestCase
from InternetSemLimites.core.forms import ProviderForm
from InternetSemLimit... | fields = ['category', 'name', 'url', 'source', 'coverage', 'other'] |
Based on the snippet: <|code_start|> def setUp(self):
User.objects.create_superuser(username='two', password='', email='42@xp.to')
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
data = {'name': 'Xpto... | def test_dont_save(self): |
Predict the next line after this snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
self.resp = self.client.get(resolve_url('api:new'))
def test_get(self):
self.assertEqual(405, self.resp.status_code)
<|code_end|>
using the current file's imports:
from django.contrib.auth.m... | class TestPostValid(TestCase): |
Next line prediction: <|code_start|> props = {'name': 'Xpto',
'url': 'http://xp.to',
'source': 'http://twitter.com/xpto',
'category': Provider.FAME,
'other': 'Lorem ipsum',
'status': Provider.PUBLISHED}
provider = Provid... | def test_no_content(self): |
Predict the next line after this snippet: <|code_start|> 'category': Provider.FAME,
'other': 'Lorem ipsum',
'status': Provider.PUBLISHED}
provider = Provider.objects.create(**props)
provider.coverage.set([sc, go])
self.resp = self.client.get(reso... | fame = json_resp['hall-of-fame'] |
Using the snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
... | for expected in data: |
Using the snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
<|code_end|>
, d... | 'source': 'http://twitter.com/xpto', |
Continue the code snippet: <|code_start|>
def fame(request):
ctx = {'states': _fame_listed_by_states()}
return _render_md(request, 'fame', ctx)
<|code_end|>
. Use current file imports:
from django.shortcuts import render
from InternetSemLimites.core.models import Provider, State
and context (classes, funct... | def shame(request): |
Predict the next line after this snippet: <|code_start|>
class ProviderResource(ModelResource):
class Meta:
model = Provider
class ProviderModelAdmin(ImportExportModelAdmin):
resource_class = ProviderResource
list_display = ('name', 'states', 'status', 'category', 'created_at', 'updated_at')
... | messages = (f'{count} provedor publicado.', |
Predict the next line after this snippet: <|code_start|>
def _providers_by_state(abbr):
state = get_object_or_404(State, abbr=abbr.upper())
return state.provider_set
def _to_json(providers_or_fame, shame=None):
if shame:
ctx = {'hall-of-fame': list(providers_or_fame),
'hall-of-shame... | return output |
Given snippet: <|code_start|>def home(request):
fame = _serialize_query(Provider.objects.fame())
shame = _serialize_query(Provider.objects.shame())
return _to_json(fame, shame)
def fame(request):
providers = _serialize_query(Provider.objects.fame())
return _to_json(providers)
def shame(request):... | return _to_json(providers) |
Using the snippet: <|code_start|> return HttpResponseRedirect(resolve_url('api:provider', provider.pk))
@csrf_exempt
def provider_edit(request, pk):
provider_original = get_object_or_404(Provider, pk=pk)
provider_edited = deepcopy(provider_original)
provider_edited.id = None
provider_edited.edite... | return HttpResponseRedirect(resolve_url('api:provider', provider_edited.pk)) |
Predict the next line for this snippet: <|code_start|>
class StateConverter:
regex = '[\w]{2}'
def to_python(self, value):
return value.lower()
def to_url(self, value):
return value
register_converter(StateConverter, 'state')
app_name = 'api'
<|code_end|>
with the help of current ... | urlpatterns = [ |
Given the code snippet: <|code_start|>
class StateConverter:
regex = '[\w]{2}'
def to_python(self, value):
return value.lower()
def to_url(self, value):
return value
register_converter(StateConverter, 'state')
app_name = 'api'
urlpatterns = [
path('', home, name='home'),
pa... | ] |
Next line prediction: <|code_start|>
class StateConverter:
regex = '[\w]{2}'
def to_python(self, value):
return value.lower()
def to_url(self, value):
return value
<|code_end|>
. Use current file imports:
(from django.urls import path, register_converter
from InternetSemLimites.api.vi... | register_converter(StateConverter, 'state') |
Here is a snippet: <|code_start|>
class StateConverter:
regex = '[\w]{2}'
def to_python(self, value):
return value.lower()
def to_url(self, value):
return value
register_converter(StateConverter, 'state')
app_name = 'api'
urlpatterns = [
path('', home, name='home'),
path('f... | ] |
Based on the snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
... | self.assertEqual('Xpto', fame[0]['name']) |
Continue the code snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
... | self.assertEqual(0, len(shame)) |
Continue the code snippet: <|code_start|>
provider_new_args = {'model': Provider,
'form_class': ProviderForm,
'email_subject': '+1 InternetSemLimites'}
provider_new = EmailAdminCreateView.as_view(**provider_new_args)
provider_details = DetailView.as_view(model=Provider)
def ... | return HttpResponseRedirect(resolve_url('api:home')) |
Based on the snippet: <|code_start|>
provider_new_args = {'model': Provider,
'form_class': ProviderForm,
'email_subject': '+1 InternetSemLimites'}
provider_new = EmailAdminCreateView.as_view(**provider_new_args)
provider_details = DetailView.as_view(model=Provider)
def redir... | return HttpResponseRedirect(resolve_url('api:home')) |
Next line prediction: <|code_start|>
provider_new_args = {'model': Provider,
'form_class': ProviderForm,
'email_subject': '+1 InternetSemLimites'}
provider_new = EmailAdminCreateView.as_view(**provider_new_args)
provider_details = DetailView.as_view(model=Provider)
def redir... | return HttpResponseRedirect(resolve_url('api:home')) |
Given the following code snippet before the placeholder: <|code_start|>
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
... | self.assertEqual('Lorem ipsum', shame[0]['other']) |
Using the snippet: <|code_start|>
class TestGet(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': 'http://xp.to',
... | self.assertEqual(1, len(shame)) |
Predict the next line for this snippet: <|code_start|>
class TestProviderModel(TestCase):
def setUp(self):
sc, *_ = State.objects.get_or_create(abbr='SC', name='Santa Catarina')
go, *_ = State.objects.get_or_create(abbr='GO', name='Goiás')
props = {'name': 'Xpto',
'url': '... | def test_create(self): |
Given snippet: <|code_start|>#
# Copyright (c) 2016 The Ontario Institute for Cancer Research. All rights reserved.
#
# This program and the accompanying materials are made available under the terms of the GNU Public License v3.0.
# You should have received a copy of the GNU General Public License along with
# this pro... | entry_points={ |
Next line prediction: <|code_start|> else:
assert filename is None # Unable to download file as expected
def start_server():
thread = stub_thread.stubThread(1, "TestThread")
thread.start()
def stop_server():
for thread in threading.enumerate():
thread.join()
def download_test(file_... | if not result: |
Given the code snippet: <|code_start|>#
# Copyright (c) 2016 The Ontario Institute for Cancer Research. All rights reserved.
#
# This program and the accompanying materials are made available under the terms of the GNU Public License v3.0.
# You should have received a copy of the GNU General Public License along with
#... | def run(self): |
Continue the code snippet: <|code_start|>#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016 The Ontario Institute for Cancer Research. All rights reserved.
#
# This program and the accompanying materials are made available under the terms of the GNU Public License v3.0.
# You should have received a copy o... | def check_access(self, access, name, docker=False, path='Default', password='Default', secret_key='Default', udt=True): |
Given the code snippet: <|code_start|>
def map(dataset, text, id=None):
logging.info("OpenLSH > map() called.")
start = datetime.datetime.utcnow()
hashes = calculate_max_hashes(dataset.rows, dataset.bands)
if len(dataset.random_seeds) < hashes:
dataset.random_seeds = get_random_bits(hashes)
... | minhashes_in_band = [minhashes[band*dataset.rows + row] for row in xrange(dataset.rows)] |
Next line prediction: <|code_start|> hashes = calculate_max_hashes(dataset.rows, dataset.bands)
if len(dataset.random_seeds) < hashes:
dataset.random_seeds = get_random_bits(hashes)
dataset.put()
sh_type = dataset.shingle_type
modulo = dataset.minhash_modulo
seeds = list(dataset.ran... | yield (key, values) |
Predict the next line for this snippet: <|code_start|> buckets.append( (band * buckets_per_band) + hash(minhashes_in_band[0]) % buckets_per_band )
end = datetime.datetime.utcnow()
if 0 == (start.second % 20):
logging.info('id %s, length %d, time %d', id, len(text), int((end-start).total_sec... | for hno in xrange(hashes): |
Given snippet: <|code_start|>
def map(dataset, text, id=None):
logging.info("OpenLSH > map() called.")
start = datetime.datetime.utcnow()
hashes = calculate_max_hashes(dataset.rows, dataset.bands)
if len(dataset.random_seeds) < hashes:
dataset.random_seeds = get_random_bits(hashes)
dat... | modulo = dataset.minhash_modulo |
Continue the code snippet: <|code_start|>dir_path = os.path.dirname([p for p in sys.path if p][0])
sys.path.insert(0, 'libs')
LOG_FILENAME = dir_path+'/CassDriver.log'
logging.basicConfig(filename=LOG_FILENAME, level=logging.DEBUG)
shingle_cache = Cache(max_size = 1)
<|code_end|>
. Use current file imports:
impo... | max_bits = 32 |
Next line prediction: <|code_start|>dir_path = os.path.dirname([p for p in sys.path if p][0])
sys.path.insert(0, 'libs')
LOG_FILENAME = dir_path+'/CassDriver.log'
logging.basicConfig(filename=LOG_FILENAME, level=logging.DEBUG)
shingle_cache = Cache(max_size = 1)
max_bits = 32
max_mask = 2**max_bits - 1
text_file_... | symbols = re.compile('\W+') |
Continue the code snippet: <|code_start|>dir_path = os.path.dirname([p for p in sys.path if p][0])
sys.path.insert(0, 'libs')
LOG_FILENAME = dir_path+'/CassDriver.log'
<|code_end|>
. Use current file imports:
import sys, os, re, time, math, random, struct, zipfile, operator, csv, hashlib, uuid, pdb
import logging
fro... | logging.basicConfig(filename=LOG_FILENAME, level=logging.DEBUG) |
Based on the snippet: <|code_start|>
url_file_pattern = re.compile('^."id":"([^"]*)","url":"([^"]*)".*')
class ServeHandler(blobstore_handlers.BlobstoreDownloadHandler):
def get(self, resource):
<|code_end|>
, predict the immediate next line with the help of imports:
from google.appengine.ext.webapp import blobst... | blob_key = str(urllib.unquote(resource)) |
Using the snippet: <|code_start|>
DEFAULT_SHINGLE_SIZE = 4
class ShingleType(object):
W_SHINGLES = "w-shingles"
K_SHINGLES = "k-shingles"
@classmethod
def is_valid(cls, type):
if type == cls.W_SHINGLES or type == cls.K_SHINGLES:
return True
<|code_end|>
, determine the next line of... | return False |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.