text stringlengths 5.6k 27.5k | length int64 4.1k 4.35k | is_long_context bool 2
classes | metric_val float64 0.04 0.36 | label_metric stringclasses 1
value | source stringclasses 1
value | threshold_scale stringclasses 1
value |
|---|---|---|---|---|---|---|
def get_imageId_from_fileName(filename, id_iter):
"""Get imageID from fileName if fileName is int, else return id_iter."""
filename = os.path.splitext(filename)[0]
if filename.isdigit():
return int(filename)
return id_iter
def random_sample_crop(image, boxes):
"""Random Crop the image a... | 4,316 | false | 0.077669 | median | code | normalized |
('date', (), {'date': end_period.strftime("%d-%m-%Y"),
'time': end_period.strftime("%H:%M")})
return data
def get_procedure_type(methodType):
return {
'aboveThresholdUA': 'Відкриті торги',
'belowThreshold': 'Допорогові закупівлі',
'negotiatio... | 4,231 | false | 0.062461 | median | code | normalized |
self._ycmd_root_directory = None
self._ycmd_settings_path = None
self._working_directory = None
self._python_binary_path = None
self._server_idle_suicide_seconds = None
self._server_check_interval_seconds = None
# additional attributes, can be set via the properties
... | 4,174 | false | 0.102127 | median | code | normalized |
cinder.volume.drivers.datera.datera_common as datc
LOG = logging.getLogger(__name__)
d_opts = [
cfg.StrOpt('datera_api_port',
default='7717',
help='Datera API port.'),
cfg.StrOpt('datera_api_version',
default='2',
deprecated_for_removal=True,
... | 4,153 | false | 0.082591 | median | code | normalized |
= img.cpu().numpy().copy()[0]
# img_numpy = np.transpose(img_numpy, [1, 2, 0]) * [58.395, 57.12, 57.375] + [123.675, 116.28, 103.53]
img_numpy = np.transpose(img_numpy, [1, 2, 0]) + [102.9801, 115.9465, 122.7717]
img_numpy = img_numpy[:, :, ::-1]
img_numpy = img_numpy.astype(np.uint8)
... | 4,099 | false | 0.129034 | median | code | normalized |
ies: Maximum number of times to try logging in
:param session_cookies: Cookies from a previous session (Will default to login if these are invalid)
:param logging_level: Configures the `logging level <https://docs.python.org/3/library/logging.html#logging-levels>`_. Defaults to `INFO`
:type max_... | 4,170 | false | 0.067564 | median | code | normalized |
["../data/dataset/test_tf_file_3_images/train-0000-of-0001.data"]
SCHEMA_DIR = "../data/dataset/test_tf_file_3_images/datasetSchema.json"
GENERATE_GOLDEN = False
def test_random_crop_and_resize_op_c(plot=False):
"""
Test RandomCropAndResize op in c transforms
"""
logger.info("test_random_crop_and_re... | 4,175 | true | 0.256549 | median | code | normalized |
dtype (:class:`torch.dtype`, optional): the desired data type of returned tensor.
Default: if ``None``, uses a global default (see :func:`torch.set_default_tensor_type`).
layout (:class:`torch.layout`, optional): the desired layout of returned Tensor.
Default: ``torch.strided``.
... | 4,193 | false | 0.144545 | median | code | normalized |
("Starting factory %r" % self)
self.startFactory()
self.numPorts = self.numPorts + 1
def doStop(self):
"""Make sure stopFactory is called.
Users should not call this function themselves!
"""
if self.numPorts == 0:
# this shouldn't happen, but does so... | 4,188 | false | 0.087868 | median | code | normalized |
GET'])
def gameRoom():
global games
verbose = (False or debugging)
argumentsMakeGame = ['name', 'gameName', 'nrOfRounds', 'time', 'newGame']
argumentsJoinGame = ['name', 'gameName', 'newGame']
uniqueID = request.cookies.get('uniqueID')
user = clients.find_User_By_uniqueID(uniqueID)
if (not... | 4,144 | false | 0.147817 | median | code | normalized |
contains:
- state about the node (whether it's running, etc)
- a Python subprocess.Popen object representing the running process
- an RPC connection to the node
- one or more P2P connections to the node
To make things easier for the test writer, any unrecognised messages will
be dispatched t... | 4,250 | false | 0.088897 | median | code | normalized |
model architecture.")
flags.DEFINE_string(
"input_file", None,
"Input TF example files (can be a glob or comma separated).")
flags.DEFINE_string(
"output_dir", None,
"The output directory where the model checkpoints will be written.")
## Other parameters
flags.DEFINE_string(
"init_checkpoint", N... | 4,263 | false | 0.099081 | median | code | normalized |
+ [[0], [0], [2.5]]]).T, 1,
np.arange(12).reshape(-1, 3))
def test_creation(self):
tree = kdtree.KDTree(self.shapes, max_depth=self.max_depth)
self.assertEqual(tree.max_depth, self.max_depth)
self.assertEqual(tree.surface, self.shapes)
def t... | 4,208 | true | 0.234808 | median | code | normalized |
256, out_channels=64, pooling=False)]
layers += [ConvPoolBlock(in_channels=64, out_channels=128, pooling=True)]
layers += [ConvPoolBlock(in_channels=128, out_channels=128, pooling=False)]
layers += [ConvPoolBlock(in_channels=128, out_channels=192, pooling=True)]
layers += [ConvPoolBlock(... | 4,261 | false | 0.105961 | median | code | normalized |
multiprocessing.get_start_method(allow_none=True) is None:
multiprocessing.set_start_method(method='spawn')
self.logger = get_logger(name=__name__, save_file=args.log_path / args.run_name)
# Checking whether inputs are correct.
assert isinstance(model, nn.Module), '`model` must be... | 4,181 | false | 0.088685 | median | code | normalized |
,,,,,,,,,,,,,,,,,,,,,,,,\
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\
,,,,,,,,,,,,,,,,,,,,\n\
"* = GCMD controlled: http://gcmd.nasa.gov/learn/keyword_list.html\nThese datasets were reviewed in comparison to GCMD Keyword Version: 8.4.1",\
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\
... | 4,144 | false | 0.111606 | median | code | normalized |
import Context
from .instrumentlookup import InstrumentLookup
from .instrumentvalue import InstrumentValue
from .layouts import layouts
from .lotsizeconverter import LotSizeConverter, RaisingLotSizeConverter
from .marketlookup import MarketLookup
from .metadata import Metadata
from .token import Instrument, Token
from... | 4,339 | false | 0.140568 | median | code | normalized |
Determine
# the
# prediction
# scores
# for transformed testing data.Using the estimated optimal classification threshold, compute accuracy and fairness metrics.
#
# %%
# Load all necessary packages
import sys
sys.path.append("../")
import numpy as np
from tqdm import tqdm
from aif360.datasets import BinaryLabelD... | 4,121 | false | 0.093652 | median | code | normalized |
2), (2, 3)),
5: ((0, 1), (0, 2), (0, 3), (0, 4), (1, 2), (2, 3), (3, 4)),
6: ((0, 1), (0, 2), (0, 3), (0, 4), (0, 5), (1, 2), (2, 3), (3, 4), (4, 5)),
7: ((0, 1), (0, 2), (0, 3), (0, 4), (0, 5), (0, 6), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)),
8: ((0, 1), (0, 2), (0, 3), (0, 4), (0, 5), (0, 6), (0, 7), (1, 2),... | 4,237 | false | 0.068049 | median | code | normalized |
ys=None, **kwargs):
return gradients(ys, xs, grad_ys, checkpoints='collection', **kwargs)
def gradients(ys, xs, grad_ys=None, checkpoints='collection', **kwargs):
'''
Authors: Tim Salimans & Yaroslav Bulatov
memory efficient gradient implementation inspired by "Training Deep Nets with Sublinear Memory... | 4,119 | false | 0.0769 | median | code | normalized |
new_checkpoint_dir = FuncCheckpointUtil.create_perm_checkpoint(
checkpoint_dir, self.logdir, step=4)
assert new_checkpoint_dir == TrainableUtil.find_checkpoint_dir(
new_checkpoint_dir)
assert os.path.exists(new_checkpoint_dir)
assert not FuncCheckpointUtil.is_temp_checkp... | 4,312 | false | 0.147898 | median | code | normalized |
ingest.py (which converted the old ACLPUB flat XML format)
- anthologize.pl in ACLPUB
- anthology_xml.py in ACLPUB
"""
import argparse
import iso639
import os
import re
import readline
import shutil
import sys
import lxml.etree as etree
from collections import defaultdict, OrderedDict
from datetime import datetime... | 4,122 | false | 0.113726 | median | code | normalized |
def wrapped(*args, **kw):
if TIME:
start = time.time()
ret = fn(*args, **kw)
delta = time.time() - start
print(delta, args[1], fn.__name__)
return ret
else:
return fn(*args, **kw)
return wrapped
class RestObject(object):
... | 4,099 | false | 0.075643 | median | code | normalized |
to the distributed AMI.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value map of resource tags for the distribution configuration. .If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
""... | 4,320 | true | 0.209986 | median | code | normalized |
icon'
ATTR_NAME = 'name'
ATTR_OBJECT_ID = 'object_id'
ATTR_ORDER = 'order'
ATTR_VIEW = 'view'
ATTR_VISIBLE = 'visible'
SERVICE_SET_VISIBILITY = 'set_visibility'
SERVICE_SET = 'set'
SERVICE_REMOVE = 'remove'
CONTROL_TYPES = vol.In(['hidden', None])
SET_VISIBILITY_SERVICE_SCHEMA = vol.Schema({
vol.Optional(ATTR_EN... | 4,246 | false | 0.100162 | median | code | normalized |
'double 2'), 4)
self.assertEqual(fire.Fire(tc.WithDefaults, 'triple 4'), 12)
self.assertEqual(fire.Fire(tc.OldStyleWithDefaults, 'double 2'), 4)
self.assertEqual(fire.Fire(tc.OldStyleWithDefaults, 'triple 4'), 12)
def testFireNoArgs(self):
self.assertEqual(fire.Fire(tc.MixedDefaults, 'ten'), 10)
... | 4,251 | false | 0.099188 | median | code | normalized |
, 'shape': None, 'kind': 'data', 'data_type': None},
'placeholder_2_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
'placeholder_3_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
'placeholder_4_data': {'value': None, 'shape': None, 'kind': 'data', 'data_ty... | 4,168 | true | 0.265103 | median | code | normalized |
_columns = AnyField('columns')
_level = AnyField('level')
_errors = StringField('errors')
def __init__(self, index=None, columns=None, level=None, errors=None, **kw):
super().__init__(_index=index, _columns=columns, _level=level, _errors=errors,
**kw)
@property
... | 4,169 | false | 0.116911 | median | code | normalized |
3),
dtype=np.uint8)
original_rgb = utils.array_to_img(original_rgb_array, scale=False)
original_rgb.save(filename_rgb)
original_rgba_array = np.array(255 * np.random.rand(100, 100, 4),
dtype=np.uint8)
original_rgba = utils.array_to_i... | 4,346 | false | 0.129692 | median | code | normalized |
self.selected = True
''' Catch and handle the view changes '''
return super(SelectableLabel, self).refresh_view_attrs(
rv, index, data)
def on_touch_down(self, touch):
''' Add selection on touch down '''
if super(SelectableLabel, self).on_touch_down(touch)... | 4,204 | false | 0.091273 | median | code | normalized |
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import re
import os
import sys
imp... | 4,321 | false | 0.095711 | median | code | normalized |
pipeline (list[dict], optional): Pipeline used for data processing.
Defaults to None.
classes (tuple[str], optional): Classes used in the dataset.
Defaults to None.
modality (dict, optional): Modality to specify the sensor data used
as input. Defaults to None.... | 4,219 | false | 0.138008 | median | code | normalized |
z = sec2cart(r, alpha, beta)
elif mode.lower() in ('dp', 'dpolar'):
r, alpha, beta = np.meshgrid(v1, np.deg2rad(v2), np.deg2rad(v3), indexing='ij')
x, y, z = dp2cart(r, alpha, beta)
if as_list:
return np.c_[x.ravel('F'), y.ravel('F'), z.ravel('F')]
else:
return x, y, z
d... | 4,287 | false | 0.037195 | median | code | normalized |
- self._low) - (self._high - self._close)) / (self._high - self._low)
clv = clv.fillna(0.0) # float division by zero
ad = clv * self._volume
self._ad = ad.cumsum()
def acc_dist_index(self) -> pd.Series:
"""Accumulation/Distribution Index (ADI)
Returns:
pandas.... | 4,107 | true | 0.217775 | median | code | normalized |
self.ca_crt_path = os.path.join(local_scratch_dir, "test.ca.crt")
self.ca_jks_path = os.path.join(local_scratch_dir, "test.ca.jks")
self.ca_passwd = "test-ca-passwd"
self.truststore_path = os.path.join(local_scratch_dir, "test.truststore.jks")
self.truststore_passwd = "test-ts-p... | 4,172 | false | 0.094751 | median | code | normalized |
(os.path.join(scriptDir, '..', 'extra'))
from testutils import *
from pprint import pprint
#
# Args handling
#
parser = argparse.ArgumentParser()
parser.add_argument("--exec", metavar="<interpreter>", default="../build/wasm3")
parser.add_argument("--engine", metavar="<engine>")
parser.add_argument("--timeout", type... | 4,165 | false | 0.073787 | median | code | normalized |
_keywords = ["who are you", "who r u", "what is your name"]
youtube_keywords = ["play ", "stream ", "queue "]
launch_keywords = ["open ", "launch "]
search_keywords = ["search ",]
wikipedia_keywords = ["wikipedia ", "wiki "]
download_music=["download","download music"]
reminder_keywords = ["set a reminder"]
calc... | 4,227 | false | 0.074836 | median | code | normalized |
_relu, mode='none', bn=False, dr=None):
super(ResBlock, self).__init__()
initializer = chainer.initializers.GlorotUniform()
initializer_sc = chainer.initializers.GlorotUniform()
self.activation = activation
self.mode = _downsample if mode == 'down' else _upsample if mode == 'up' ... | 4,109 | true | 0.203794 | median | code | normalized |
to the key ``ramp_submissions_dir`` of the dictionary created with
:func:`ramp_utils.generate_ramp_config`.
session : None or :class:`sqlalchemy.orm.Session`, optional
The session used to perform some required queries. It is a required
argument when interacting with the database outside of ... | 4,223 | false | 0.132262 | median | code | normalized |
#{
#{ class variables
DEFAULT_HEADER_DICT = {
'Accept-Charset': 'Shift_JIS,utf-8;q=0.7,*;q=0.7',
'Accept-Language': 'ja,en-us;q=0.7,en;q=0.3',
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36',
}
DEFAULT_PMA_LOGIN_PARAM_DICT... | 4,311 | false | 0.082804 | median | code | normalized |
) in block_pairs:
labels = {frozenset([(key, label[key]) for key in ctrl_new.inputs.keys()]
+ [(output, label[output]) for output in ctrl_new.outputs.keys()])
for (x, y, label) in ctrl.transitions.find(b, c)}
for q in labels:
ctrl_new.transitions... | 4,318 | false | 0.147219 | median | code | normalized |
None, 'z_source' is used.
:param cosmo: instance of astropy.cosmology
:param numerical_alpha_class: an instance of a custom class for use in NumericalAlpha() lens model
(see documentation in Profiles/numerical_alpha)
"""
if z_interp_stop is None:
z_interp_stop = z_... | 4,178 | false | 0.122208 | median | code | normalized |
import collections
import collections.abc
import inspect
import sys
import traceback
from typing import Any, Callable, List, TYPE_CHECKING, Optional, TypeVar, Type, Union
import disnake
from .core import GroupMixin
from .view import StringView
from .context import Context
from . import errors
from .help import HelpC... | 4,228 | false | 0.101976 | median | code | normalized |
{OUTPUT_PATH}")
def do_2nd_preprocess(dataset_split):
label_fpath = os.path.join(INPUT_PATH, "labels.txt")
labels = get_labels(label_fpath)
tokenizer = BertTokenizer.from_pretrained(VOCA, do_lower_case=True)
cls_token_id = tokenizer.convert_tokens_to_ids("[CLS]")
sep_token_id = tokenizer.convert... | 4,178 | false | 0.090897 | median | code | normalized |
0))
password = db.Column(db.String(50))
e_mail = db.Column(db.String(50), unique=True, nullable=False)
descripcion = db.Column(db.String(1000))
link = db.Column(db.String(200))
foto_de_perfil = db.Column(db.String(400))
class Sigue(db.Model):
#id = db.Column(db.Integer, primary_key=True )
... | 4,129 | false | 0.107155 | median | code | normalized |
Window Mode
self.qtwidget_mode = False
# Make empty window
self.renWin = vtk.vtkRenderWindow()
self.renWin.AddRenderer(self.ren)
self.renWin.SetSize(960, 540)
self.iren = vtk.vtkRenderWindowInteractor()
self.iren.SetInteractorStyle(v... | 4,283 | false | 0.11089 | median | code | normalized |
_dataset_ops
from tensorflow.python.ops import parsing_ops
from tensorflow.python.platform import gfile
from tensorflow.python.util import deprecation
_ACCEPTABLE_CSV_TYPES = (dtypes.float32, dtypes.float64, dtypes.int32,
dtypes.int64, dtypes.string)
def make_csv_dataset(
file_pattern,
... | 4,134 | false | 0.142412 | median | code | normalized |
param n_steps: (int) The number of steps to run for each environment per update
(i.e. batch size is n_steps * n_env where n_env is number of environment copies running in parallel)
:param vf_coef: (float) Value function coefficient for the loss calculation
:param ent_coef: (float) Entropy coefficient fo... | 4,202 | false | 0.076655 | median | code | normalized |
N_alpha_beta_dict1 = N_alpha_beta
T_alpha1 = T_alpha_total
#N_i_j_alpha_dict1, R_i_alpha_dict1, N_alpha_beta_dict1, T_alpha1 = \
# analyze.openmm_read_output_file_list([test_output_filename])
N_i_j_alpha_dict2 = {(1, 2): 52, (2, 1): 52}
R_i_alpha_dict2 = {1: 1658.696, 2: 198.912}
N_a... | 4,280 | false | 0.091215 | median | code | normalized |
It provides different methods
based on inputs from a URL and inputs from a stream.
:param str endpoint: Supported Cognitive Services endpoints (protocol and hostname,
for example: https://westus2.api.cognitive.microsoft.com).
:param credential: Credentials needed for the client to connect to Azure... | 4,178 | true | 0.252033 | median | code | normalized |
epfl.ch)," \
" Michael Atambo (michaelontita.atambo@unimore.it)."
class YamboCalculation(CalcJob):
"""
AiiDA plugin for the Yambo code.
For more information, refer to http://www.yambo-code.org/
https://github.com/yambo-code/yambo-aiida and http://aiida-yambo.readthedocs.io/en/latest/
... | 4,212 | false | 0.080367 | median | code | normalized |
self.effect_mirror()
elif self.effect == "triangle":
frame = self.effect_delaunay_triangle()
elif self.effect == "glasses":
frame = self.effect_glasses()
return frame
# ---------------
# BABY FACE
# ---------------
def effect_baby_face(self):
ret, frame = self.camera.read()
if not ret:
... | 4,330 | false | 0.121962 | median | code | normalized |
(dt.String(nullable=False), '`string_col`'),
('timestamp', 'CAST(`string_col` AS DateTime)'),
('date', 'CAST(`string_col` AS Date)'),
],
)
def test_cast_string_col(alltypes, translate, to_type, expected):
expr = alltypes.string_col.cast(to_type)
assert translate(expr) == expected
@pytest.... | 4,332 | false | 0.129719 | median | code | normalized |
DOUT, shell=ISWIN)
except subprocess.CalledProcessError as err:
out = err.output.decode(errors="ignore")
raise RuntimeError("FFMEG call failed with {}:\n{}".format(err.returncode, out))
# Note that other than with the subprocess calls below, ffmpeg wont hang here.
# Worst case Python will s... | 4,279 | false | 0.132809 | median | code | normalized |
self.resume = resume
if not resume: # Fail if experiment_id already exist in runs/
_avoid_overwriting(params["experiment_id"])
# Set device
self.device = params["device"]
if "cuda" in self.device and not torch.cuda.is_available():
warnings.warn(
... | 4,264 | false | 0.076422 | median | code | normalized |
help="Training data", required=True)
data_grp.add_argument("--val", help="Validation data", required=True)
data_grp.add_argument("--embedding", help="h5 file with embedded sequences", required=True)
data_grp.add_argument(
"--no-augment",
action="store_false",
dest='augment',
... | 4,260 | false | 0.089275 | median | code | normalized |
# type: LogicBlockState
self._start_enabled = None # type: bool
self.player_state_variable = "{}_state".format(self.name)
'''player_var: (logic_block)_state
desc: A dictionary that stores the internal state of the logic block
with the name (logic_block). (In other words, a lo... | 4,223 | false | 0.121272 | median | code | normalized |
sub-compartments.
version_added: "2.9.0"
author: Oracle (@oracle)
options:
compartment_id:
description:
- The L(OCID,https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment.
type: str
required: true
resource_metric:
description... | 4,180 | false | 0.1102 | median | code | normalized |
that does not sum to one is input"""
p = np.ones(4)
with pytest.raises(ValueError, match="A valid probability distribution of non-negative"):
probs_to_unitary(p)
def test_invalid_distribution_negative(self):
"""Test if a ValueError is raised when a distribution with a negative ... | 4,227 | false | 0.086671 | median | code | normalized |
k = d.keys()
self.assert_(d.has_key('a'))
self.assert_(d.has_key('b'))
self.assertRaises(TypeError, d.keys, None)
def test_values(self):
d = {}
self.assertEqual(d.values(), [])
d = {1:2}
self.assertEqual(d.values(), [2])
self.assertRaises(Ty... | 4,189 | false | 0.089703 | median | code | normalized |
loss = F.cross_entropy(net(x, params), targets, size_average=False)
else:
loss = F.cross_entropy(net(x), targets, size_average=False)
grad = torch.autograd.grad(loss, [x])[0]
if metalearner.targeted:
x = x.detach() - metalearner.attack_step_size*to... | 4,220 | true | 0.208191 | median | code | normalized |
that DARTS runs.
Default: 50
"""
self.window = window
self.ev_freq = ev_freq
self.epochs = total_epochs
self.stop_search = False
self.stop_epoch = total_epochs - 1
self.stop_genotype = None
self.ev = []
self.ev_local_avg = []
... | 4,134 | false | 0.075701 | median | code | normalized |
= Var(within=Reals,bounds=(0,1000),initialize=0)
m.x2 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x3 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x4 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x5 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x6 = Var(within=Reals,bounds=(0,1000),initialize=0)
... | 4,235 | false | 0.122544 | median | code | normalized |
it's not, so
# we have to heuristically detect it to validate.
if not init_checkpoint:
return
m = re.match("^.*?([A-Za-z0-9_-]+)/bert_model.ckpt", init_checkpoint)
if m is None:
return
model_name = m.group(1)
lower_models = [
"uncased_L-24_H-1024_A-16", "uncased_L-12... | 4,200 | false | 0.060067 | median | code | normalized |
outdir
"""
# check src file exists
if not Path(src).is_file():
log.warning(f"{src} file cannot be accessed")
hash_src = get_file_hash(src, buffer="content")
filename = PurePath(src).name
destpath = Path(outdir) / filename
hash_out = ""
# get hash and new name
if destpat... | 4,322 | false | 0.095612 | median | code | normalized |
_HYPERCROSS
# To use the model, must call initialize_coords before forward pass.
# Once data is processed, call clear to reset the model before calling initialize_coords
def __init__(self, in_channels, out_channels, config, D=3, **kwargs):
super(Res16UNetBase, self).__init__(in_channels, out_channels, config... | 4,233 | false | 0.120735 | median | code | normalized |
type valid_fraction_feature: (FeatureType, str)
:param max_scene_number: Maximum number of reference scenes taken for the creation of the composite. By default,
the maximum number of scenes equals the number of time frames
:type max_scene_number: int
"""
def __in... | 4,127 | false | 0.147035 | median | code | normalized |
# PYTHON ADAPTATION OF MY C++ CODE THAT CAN BE FOUND IN
# https://github.com/richardtjornhammar/RichTools/blob/master/src/cluster.cc
# AROUND LINE 2345
# AGAIN CONSIDER USING THE C++ VERSION SINCE IT IS ALOT FASTER
# HERE WE SPEED IT UP USI... | 4,141 | false | 0.115254 | median | code | normalized |
self.settings.SUBSCRIPTION_ID
RESOURCE_GROUP = resource_group.name
PROFILE_NAME = "profilename"
CDN_WEB_APPLICATION_FIREWALL_POLICY_NAME = "policyname"
ENDPOINT_NAME = "endpoint9527x"
CUSTOM_DOMAIN_NAME = "someDomain"
ORIGIN_NAME = "origin1"
# Profiles_Create[pu... | 4,298 | true | 0.238226 | median | code | normalized |
CryptCallback = object
from bson import _dict_to_bson, decode, encode
from bson.codec_options import CodecOptions
from bson.binary import (Binary,
STANDARD,
UUID_SUBTYPE)
from bson.errors import BSONError
from bson.raw_bson import (DEFAULT_RAW_BSON_OPTIONS,
... | 4,263 | false | 0.100793 | median | code | normalized |
-collection resource that returns a csv representation of the
entire table
- if the table has a single primary key, each table record will also appear
as a non-collection resource in the table collection using the primary key
value as its name. This resource returns a csv representation of the re... | 4,301 | false | 0.12952 | median | code | normalized |
in range(num_goals)]
# pos = np.random.rand(2)*2-1
goals = generate_path(num_goals + 1)
pos = goals[0]
goals = goals[1:-1]
# pos_agent_time_list = []
min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = pos_agent.find_shortes... | 4,159 | true | 0.226244 | median | code | normalized |
64],
# [6.30154, 50.948329]])
def chi2cdf(chi2,df):
''' Chi square cumulative distribution function '''
return ee.Image(chi2.divide(2)).gammainc(ee.Number(df).divide(2))
def makefeature(data):
''' for exporting as CSV to Drive '''
return ee.Feature(None, {'data': data})
... | 4,133 | false | 0.096436 | median | code | normalized |
from xsdata.formats.dataclass.parsers.nodes import WildcardNode
from xsdata.formats.dataclass.parsers.utils import ParserUtils
from xsdata.models.enums import DataType
from xsdata.models.enums import Namespace
from xsdata.models.enums import QNames
from xsdata.utils.testing import FactoryTestCase
from xsdata.utils.test... | 4,321 | false | 0.141317 | median | code | normalized |
.num_nodes = 1
self.block_heights = {}
self.coinbase_key = CECKey()
self.coinbase_key.set_secretbytes(bytes("horsebattery"))
self.coinbase_pubkey = self.coinbase_key.get_pubkey()
self.block_time = int(time.time())+1
self.tip = None
self.blocks = {}
def run_te... | 4,328 | false | 0.144675 | median | code | normalized |
THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
__revision__ = "src/engine/SCons/Tool/GettextCommon.py 2014/07/05 09:42:21 garyo"
import SCons.Warnings
import re
#############################################################################
class XgettextToolWarning(SCons.Warnings.Warning): pass
class Xg... | 4,126 | false | 0.087969 | median | code | normalized |
Pads the input such that if it was used in a convolution with 'VALID' padding,
the output would have the same dimensions as if the unpadded input was used
in a convolution with 'SAME' padding.
Args:
inputs: A tensor of size [batch, height_in, width_in, channels].
kernel_size: The kernel to be used in th... | 4,153 | false | 0.105046 | median | code | normalized |
("index.html").generate(), b"header text\nbody text"
)
def test_extends(self):
loader = DictLoader(
{
"base.html": """\
<title>{% block title %}default title{% end %}</title>
<body>{% block body %}default body{% end %}</body>
""",
"page.html": """\
{% ext... | 4,323 | false | 0.099952 | median | code | normalized |
dpdk-host'
self.invalid_dpdk_host = 'invalid-host'
self.vhu_mode = 'server'
self.add_fake_chassis(self.ovs_host)
self.add_fake_chassis(
self.dpdk_host,
external_ids={'datapath-type': 'netdev',
'iface-types': 'dummy,dummy-internal,dpdkvhos... | 4,163 | false | 0.12957 | median | code | normalized |
self.original_vars = sysconfig._CONFIG_VARS
self.old_vars = copy(sysconfig._CONFIG_VARS)
def tearDown(self):
"""Restore sys.path"""
sys.path[:] = self.sys_path
site.USER_BASE = self.old_base
site.USER_SITE = self.old_site
site.PREFIXES = self.old_prefixes
... | 4,260 | false | 0.075514 | median | code | normalized |
Screen, 15)
self.assertEqual(AppKit.NSCompositeOverlay, 16)
self.assertEqual(AppKit.NSCompositeDarken, 17)
self.assertEqual(AppKit.NSCompositeLighten, 18)
self.assertEqual(AppKit.NSCompositeColorDodge, 19)
self.assertEqual(AppKit.NSCompositeColorBurn, 20)
self.assertEqual... | 4,170 | false | 0.103467 | median | code | normalized |
taxa list (optional
if args['--taxa'] is not None:
taxa_incorp_list = _load_taxa_incorp_list(args['--taxa'], config)
else:
taxa_incorp_list = {k:[] for k in config.keys()}
## kde_bd
sys.stderr.write('Loading KDE object...\n')
KDEs = Utils.load_kde(args['<BD_KDE>'])
... | 4,198 | false | 0.085518 | median | code | normalized |
package = None
monkeypatch.setattr(spack.repo, 'get', find_nothing)
with pytest.raises(spack.repo.UnknownPackageError):
spec.package
pkg.do_uninstall()
except Exception:
pkg.remove_prefix()
raise
def mock_remove_prefix(*args):
raise MockInstallError(
... | 4,198 | false | 0.108716 | median | code | normalized |
", ".join(value)}''' if len(value) > 0 else ""
def pre_if(self, prefix, condition):
return prefix if condition else ""
def pre(self, prefix, value):
return f'''{prefix}{value}''' if value != None else ""
def type_args(self, args):
return f'''<{", ".join(args)}>''' if a... | 4,178 | false | 0.100181 | median | code | normalized |
xx, yy, zz, xy, xz, yz) in the yaw-aligned coorinate system
self.add_input('blades_I', np.zeros(6), units='kg*m**2', desc='mass moments of inertia of all blades about hub center')
self.add_input('hub_I', np.zeros(6), units='kg*m**2', desc='mass moments of inertia of hub about its center of mass')
... | 4,164 | false | 0.087378 | median | code | normalized |
AttributeMixin, RequestFieldGroup # noqa
from .utils import locate_object, rate_limit_exceeded
logger = logging.getLogger(__name__)
# TODO:
# * Make it generically handle database write failures (updating the http_status to be 5XX)
# * Create new error for deadline exceeded and catch it in the same place as writes... | 4,260 | false | 0.079903 | median | code | normalized |
msg)
assert_(abs(derphi1) <= abs(c2*derphi0), "Wolfe 2 failed: " + msg)
def assert_armijo(s, phi, c1=1e-4, err_msg=""):
"""
Check that Armijo condition applies
"""
phi1 = phi(s)
phi0 = phi(0)
msg = "s = %s; phi(0) = %s; phi(s) = %s; %s" % (s, phi0, phi1, err_msg)
assert_(phi1 <= (1 - ... | 4,204 | false | 0.128079 | median | code | normalized |
pts = np.array([[5, 15], [15, 15], [15, 20]])
gdf = GeoDataFrame([Point(xy) for xy in pts], columns=["geometry"], crs="EPSG:3857")
return gdf
@pytest.fixture
def pointsoutside_overlap_gdf():
"""Create a point GeoDataFrame. Its points are all outside the single
rectangle, and its bounds are overlappin... | 4,146 | false | 0.126689 | median | code | normalized |
("/")
datasetname = dir[-1]
self.dataset.update(array_tsdict, datasetname)
self.master.v_dsname.set(self.dataset.name)
self.master.v_tslength.set(self.dataset.tslength)
self.master.v_tsnbr.set(self.dataset.size)
self.master.v_classnbr.set(len(self.dataset.ClassList))
... | 4,340 | false | 0.12591 | median | code | normalized |
token in Keystone.
* Transforms the account name to AUTH_%(tenant_name).
* Optionally can retrieve and cache secret from keystone
to validate signature locally
"""
import base64
import json
from keystoneclient.v3 import client as keystone_client
from keystoneauth1 import session as keystone_session
from keystonea... | 4,243 | false | 0.102979 | median | code | normalized |
db.alter_column(u'accounting_softwareplanversion', 'date_created', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True))
# Changing field 'SoftwareProductRate.date_created'
db.alter_column(u'accounting_softwareproductrate', 'date_created', self.gf('django.db.models.fields.DateTim... | 4,338 | true | 0.213479 | median | code | normalized |
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
==============================================================================
Tests for vital.types.Ro... | 4,297 | false | 0.118472 | median | code | normalized |
# tsfm = Transform(params)
# transformed_sample = tsfm(sample)
#
# Observe below how these transforms had to be applied both on the image and
# landmarks.
#
class Rescale(object):
"""Rescale the image in a sample to a given size.
Args:
output_size (tuple or tuple): Desired output size. If tup... | 4,258 | false | 0.093856 | median | code | normalized |
init__(self, request):
self.request = request
self.owner = owner = request.owner
self.owner_id = owner.id
self.api_url = os.environ['opn_api_url']
self.change_log = []
# peers is a cache of {peer_id: Peer}.
self.peers = {}
def download_batch(self, sync_ts_is... | 4,105 | false | 0.125456 | median | code | normalized |
.pins))}
if len(shape.pins) == 1 else {
f"{gate.id}.{pin_name}": pin_name for pin_name in shape.pins
}, gate.id, gate.pos, gate.custom_data))
return ios
@classmethod
def from_node(cls, node: Combin... | 4,324 | false | 0.113167 | median | code | normalized |
argument_string = ''
if number_of_strings == 1:
argument_string = self._strings[0]
elif number_of_strings > 1:
argument_string = '{0:s}{1:s}'.format(
self._strings[0], ', '.join(self._strings[1:]))
return argument_string
class FunctionPrototype(object):
"""Function prototype.
... | 4,255 | false | 0.109595 | median | code | normalized |
/LeNet_keras.py
(x_train, y_train), (x_test, y_test) = cifar10.load_data()
y_train = keras.utils.to_categorical(y_train, num_classes)
y_test = keras.utils.to_categorical(y_test, num_classes)
x_train = x_train.astype('float32')
x_test = x_test.astype('float32')
x_train /= 255
x_test /= 255
# for reproducibility
np.rand... | 4,212 | false | 0.0658 | median | code | normalized |
client_app
# Load existing flags
flags.adopt_module_key_flags(xds_k8s_testcase)
flags.adopt_module_key_flags(xds_url_map_test_resources)
# Define urlMap specific flags
QPS = flags.DEFINE_integer('qps', default=25, help='The QPS client is sending')
# Test configs
_URL_MAP_PROPAGATE_TIMEOUT_SEC = 600
# With the per-r... | 4,320 | false | 0.081345 | median | code | normalized |
:type name: string
:param name: The name of the identifier
"""
def __init__(self, name, member_name=None):
#: (``string``) The name of the identifier
self.name = name
self.member_name = member_name
class Action(object):
"""
A service operation action.
:type name: stri... | 4,317 | false | 0.139641 | median | code | normalized |
"Page Title",
"wp:post_name": "page-title",
"wp:post_date_gmt": "2017-03-12 17:53:57",
"wp:post_modified_gmt": "2018-12-04 11:49:24",
"content:encoded": body_html,
"wp:post_id": "1000",
"wp:post_type": "post",
"link": "http://www.examp... | 4,274 | false | 0.086815 | median | code | normalized |
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