content stringlengths 22 815k | id int64 0 4.91M |
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def validators(*chained_validators):
"""
Creates a validator chain from several validator functions.
:param chained_validators:
:type chained_validators:
:return:
:rtype:
"""
def validator_chain(match): # pylint:disable=missing-docstring
for chained_validator in chained_valida... | 35,100 |
def jacobian(vf):
"""Compute the jacobian of a vectorfield pointwise."""
vf0_dz, vf0_dy, vf0_dx = image_gradients(vf[..., 0:1])
vf1_dz, vf1_dy, vf1_dx = image_gradients(vf[..., 1:2])
vf2_dz, vf2_dy, vf2_dx = image_gradients(vf[..., 2:3])
r1 = tf.concat([vf0_dz[..., None], vf0_dy[..., None], vf0_dx[... | 35,101 |
def insert_ones(y, segment_end_ms, Ty, steps=50, background_len=10000.0):
"""Update the label vector y
The labels of the output steps strictly after the end of the segment
should be set to 1. By strictly we mean that the label of segment_end_y should be 0 while, the
50 followinf labels should be ones.
... | 35,102 |
def stream_name_mapping(stream, exclude_params=['name'], reverse=False):
"""
Return a complete dictionary mapping between stream parameter names
to their applicable renames, excluding parameters listed in
exclude_params.
If reverse is True, the mapping is from the renamed strings to the
origina... | 35,103 |
def newton(f, df, x0, tolx, tolf, nmax):
"""
Algoritmo di Newton per il calcolo dello zero di una funzione.
:param f: la funzione di cui calcolare lo zero
:param df: la derivata della funzione di cui calcolare lo zero
:param x0: il valore di innesco
:param tolx: la tolleranza sull'incremento
... | 35,104 |
def preprocess(x, scale='std', clahe=True):
""" Preprocess the input features.
Args:
x:
batch of input images
clahe:
perform a contrast limited histogram equalization before scaling
scale:
'normalize' the data into a range of 0 and 1 or 'stan... | 35,105 |
def process_commands(operators, log_level, log_file, mip, dry_run):
"""This result callback is invoked with an iterable of all
the chained subcommands. As in this example each subcommand
returns a function we can chain them together to feed one
into the other, similar to how a pipe on unix works.
... | 35,106 |
def endswith(s, tags):
"""除了模拟str.endswith方法，输入的tag也可以是可迭代对象
>>> endswith('a.dvi', ('.log', '.aux', '.dvi', 'busy'))
True
"""
if isinstance(tags, str):
return s.endswith(tags)
elif isinstance(tags, (list, tuple)):
for t in tags:
if s.endswith(t):
retu... | 35,107 |
def parse(data):
"""
Takes the byte string of an x509 certificate and returns a dict
containing the info in the cert
:param data:
The certificate byte string
:return:
A dict with the following keys:
- version
"""
structure = load(data)
if structure[0][0] != Se... | 35,108 |
def to_auto_diff(x):
"""
Transforms x into a automatically differentiated function (ADF),
unless it is already an ADF (or a subclass of it), in which case x is
returned unchanged.
Raises an exception unless 'x' belongs to some specific classes of
objects that are known not to depend on ... | 35,109 |
def voc_eval(class_recs: dict,
detect: dict,
iou_thresh: float = 0.5,
use_07_metric: bool = False):
"""
recall, precision, ap = voc_eval(class_recs, detection,
[iou_thresh],
[use_07_metric])
Top level fun... | 35,110 |
def data_upgrades():
"""Add any optional data upgrade migrations here!"""
query ='''
INSERT INTO public."ModuleGrids"(
"ID","Module_ID", "TypeObj", "Name", "Label", "GridRender", "GridSize", "CellType", "GridOrder", "QueryName", "Options", "FilterOrder", "FilterSize", "IsSearchable", "FilterDefaultValue", ... | 35,111 |
def birth() -> character.Character:
"""Gives birth to krydort."""
krydort = character.Character('Krydort Wolverry')
krydort.attributes.INT = 8
krydort.attributes.REF = 6
krydort.attributes.DEX = 6
krydort.attributes.BODY = 6
krydort.attributes.SPD = 4
krydort.attributes.EMP = 10
... | 35,112 |
def imagePath(image):
"""
Return full path to given image.
"""
return os.path.join(":/images", image) | 35,113 |
def compress(from_name: str, to_name: Optional[str]=None, remove_original: bool=False) -> None:
"""
Compress the file `from_name` and store it as `to_name`.
`to_name` defaults to `from_name` with `.bz2` appended.
If `remove_original` is True, removes `from_name` when the compress finishes.
"""
i... | 35,114 |
def LinearCombinationOfContVars(doc:NexDoc, resultName, contVar1:NexVar, coeff1, contVar2:NexVar, coeff2):
"""Calculates a linear combination of two continuous variables."""
return NexRun("LinearCombinationOfContVars", locals()) | 35,115 |
def main():
"""Main function"""
config = get_config()
reddit = init_reddit(config)
subreddit = config['reddit']['subreddit']
arg = argparse.ArgumentParser()
arg.add_argument("--clock", help="set sidebar with the current time (utc)",
action="store_true")
arg.add_argument(... | 35,116 |
def handler404(request, exception): # pylint: disable=unused-argument
"""404: NOT FOUND ERROR handler"""
response = render_to_string(
"404.html", request=request, context=get_base_context(request)
)
return HttpResponseNotFound(response) | 35,117 |
def get_notification_user(operations_shift):
"""
Shift > Site > Project > Reports to
"""
if operations_shift.supervisor:
supervisor = get_employee_user_id(operations_shift.supervisor)
if supervisor != doc.owner:
return supervisor
operations_site = frappe.get_doc("Operations Site", oper... | 35,118 |
def list_groups(
namespace: str = "default", account_id: Optional[str] = None, boto3_session: Optional[boto3.Session] = None
) -> List[Dict[str, Any]]:
"""List all QuickSight Groups.
Parameters
----------
namespace : str
The namespace. Currently, you should set this to default .
account... | 35,119 |
def find_tm5_output(path, expname=None, varname=None, freq=None):
"""
Finds TM5 outputfiles, which consist of varname + "_" + "AER"[freq] + * + dates + ".nc"
inputs:
Path (mandatory)
experiment name (optional)
varname (optional)
frequency (optional)
output:
list of full paths to file... | 35,120 |
def big_diagram(BFIELD=1000,output='S0'):
"""
Main code to plot 'big' diagram with the following components:
- Theoretical absorption spectrum (top panel)
- Breit Rabi diagram for 0 to specified B-field (left)
- Energy levels for ground and excited states (bottom panel)
- Arrows for each transition, undernea... | 35,121 |
def _add_subject(subject_list: List[t_subject], subject: t_subject) -> None:
"""Add one Subject to the list."""
value = Subject(uuid_ref=subject['uuid-ref'], type=subject['type'])
if 'title' in subject:
value.title = subject['title']
if 'properties' in subject:
props = []
propert... | 35,122 |
def referenced_fmr(X=None, Y=None, Z=None,
delta_x_idx:{"type": "int",
"min":0, "max": 1,
"hint": "Distance of the background signal (in x-index units)"}=0,):
"""
For each X-index, calculate Z[X]-X([+delta_x_idx], X will be set to X[X]
... | 35,123 |
def categorize_dish(dish_name, dish_ingredients):
"""
:param dish_name: str
:param dish_ingredients: list
:return: str "dish name: CATEGORY"
This function should return a string with the `dish name: <CATEGORY>` (which meal category the dish belongs to).
All dishes will "fit" into one of the ca... | 35,124 |
def read_text_subset(
subset: str, source_dir: str = "data/CUB_200_2011_with_text/text"
) -> Tuple[List[str], List[int], List]:
""" Read the pretrained embedding caption text for the birds and flowers datasets
as encoded using a pretrained char-CNN-RNN network from:
https://arxiv.org/abs/1605.05... | 35,125 |
def generate_points_realistic(N=100, distortion_param=0, rng=None):
"""Generates two poses and the corresponding scene points and image points."""
# Check if a seed is used (for unittests)
if not rng:
rng = np.random.default_rng()
# Relative translation
t = 2 * rng.random((3, 1)) - 1
#... | 35,126 |
def truncated_step(
x: array,
f_x: float,
grad: array,
step_size: float = 0.1,
search_direction: Optional[array] = None,
step_lower_bound: float = 0.0,
):
"""Motivated by https://arxiv.org/abs/1903.08619 , use knowledge of a lower-bound on f_x
to prevent from taking a step too large
... | 35,127 |
def test_single_feature_label():
"""
>>> allure_report = getfixture('allure_report')
>>> assert_that(allure_report,
... has_test_case('test_single_feature_label',
... has_feature('single feature')
... ))
"""
pass | 35,128 |
def search_covid_results(patient_id: str,
covid_df: pd.DataFrame):
"""
Given a patient ID and a dataframe of COVID-19 PCR results, return whether a patient had
a positive result at any point and the date of their first positive. If no positives but
negative results exist, return... | 35,129 |
def is_slow_test_hostile():
"""Use this to disable some tests in CI enviroment where 15 minute deadline applies."""
return "CI" in os.environ or "SKIP_SLOW_TEST" in os.environ | 35,130 |
def str_is_path(p: str):
"""Detects if the variable contains absolute paths. If so, we distinguish paths that exist and paths that are images.
Args:
p: the Path
Returns:
True is is an absolute path
"""
try:
path = Path(p)
if path.is_absolute():
return Tr... | 35,131 |
def run_tests(requested_test_classes, serial, config):
"""Actually run the test suites, potentially in parallel."""
root_tmpdir = tempfile.mkdtemp(prefix='faucet-tests-')
ports_sock = os.path.join(root_tmpdir, 'ports-server')
ports_server = threading.Thread(
target=faucet_mininet_test_util.serve... | 35,132 |
def PLAY(command: Command) -> Command:
"""
Moves clip from background to foreground and starts playing it.
If a transition (see LOADBG) is prepared, it will be executed.
"""
return command | 35,133 |
def deserialize(data: str) -> dict:
"""
Given a string, deserialize it from JSON.
"""
if data is None:
return {}
def fix(jd: Any) -> Any:
if type(jd) == dict:
# Fix each element in the dictionary.
for key in jd:
jd[key] = fix(jd[key])
... | 35,134 |
def seq_windows_df(
df,
target=None,
start_index=0,
end_index=None,
history_size=1,
target_size=1,
step=1,
single_step=False,
):
"""
create sliding window tuples for training nns on multivar timeseries
"""
data = []
labels = []
start_index = start_index + history_... | 35,135 |
def get_cachable_provider(
cachables: List[Cachable] = [Collection1(), Collection2()]
) -> Callable[[], List[Cachable]]:
"""
Returns a cachable_provider.
"""
return lambda: cachables | 35,136 |
def getQuality(component, propertyName):
# type: (JComponent, String) -> int
"""Returns the data quality for the property of the given component
as an integer.
This function can be used to check the quality of a Tag binding on a
component in the middle of the script so that alternative actions
... | 35,137 |
def init():
"""Initialize a directory with tasks."""
if os.path.isdir('tasks'):
print('Directory "tasks" already exists!')
sys.exit(0)
os.mkdir('tasks')
os.chdir('tasks')
templates_dir = os.path.join(
os.path.dirname(inspect.getfile(mlpractice)),
'templates',
)
... | 35,138 |
def norm1(x):
"""Normalize to the unit sphere."""
return x / x.square().sum(axis=-1, keepdims=True).sqrt() | 35,139 |
def set_each_question_path(config: DictConfig):
"""
qstを読み取るのめんどくさい
"""
# hedファイルを全体で指定しているか、各モデルで設定しているかを判定する
for typ in ('timelag', 'duration', 'acoustic'):
if config[typ].question_path is None:
config[typ].question_path = config.question_path
else:
config[t... | 35,140 |
def markup_sentence(s, modifiers, targets, prune_inactive=True):
""" Function which executes all markup steps at once
"""
markup = pyConText.ConTextMarkup()
markup.setRawText(s)
markup.cleanText()
markup.markItems(modifiers, mode="modifier")
markup.markItems(targets, mode="target")
marku... | 35,141 |
def get_stream_info(stream_id):
"""
Uses the `/stream/info` endpoint taking the stream_id as a parameter.
e.g. stream_id="e83a515e-fe69-4b19-afba-20f30d56b719"
"""
endpoint = KICKFLIP_API_URL + '/stream/info/'
payload = {'stream_id': stream_id}
response = kickflip_session.post(endpoint, p... | 35,142 |
def invchisquared_sample(df, scale, size):
"""Return `size` samples from the inverse-chi-squared distribution."""
# Parametrize inverse-gamma
alpha = df/2
beta = df*scale/2.
# Parametrize gamma
k = alpha
theta = 1./beta
gamma_samples = np.random.gamma(k, theta, size)
return 1./g... | 35,143 |
def get_data_from_matlab(file_url, index, columns, data):
"""Description:*
This function takes a Matlab file .mat and extract some
information to a pandas data frame. The structure of the mat
file must be known, as the loadmat function used returns a
dictionary of arrays and they must be call... | 35,144 |
def get_loop_end(header: bytes) -> int:
"""Return loop end position."""
assert isinstance(value := _unpack(header, "LOOP_END"), int), type(value)
assert 0 < value < 65535, value
return value | 35,145 |
def report(filename: str, ignore_result: tuple, hide_empty_groups:bool):
"""{p}arse a report and do a simple output"""
if not os.path.exists(filename):
logger.error("Failed to find file {}, bailing", filename)
return False
if ignore_result:
print(f"Ignoring the following result valu... | 35,146 |
def test_no_subfield(add_citation):
"""
When no institution is linked, return None.
"""
citation = add_citation()
assert citation.subfield == None | 35,147 |
def measuresegment(waveform, Naverage, minstrhandle, read_ch, mV_range=2000, process=True, device_parameters=None):
"""Wrapper to identify measurement instrument and run appropriate acquisition function.
Supported instruments: m4i digitizer, ZI UHF-LI
Args:
waveform (dict): waveform specification
... | 35,148 |
def user_list(ks_cli):
"""Print a list of all users, Requires ADMIN Credentials."""
users = ks_cli.users.list()
# print_structure(users.data[0],geta=False)
for i in users.data:
print(i.id, i.name, i.enabled)
return | 35,149 |
def grid_definition_proj():
"""Custom grid definition using a proj string."""
return {
"shape": (1, 1),
"bounds": (-4000000.0, -4000000.0, 4000000.0, 4000000.0),
"is_global": False,
"proj": example_proj,
} | 35,150 |
def _compare_lines(line1, line2, tol=1e-14):
"""
Parameters
----------
line1: list of str
line2: list of str
Returns
-------
bool
"""
if len(line1) != len(line2):
return False
for i, a in enumerate(line1):
b = line2[i]
if type(a) not in {int, float... | 35,151 |
def helping_func(self, driver, value):
"""Helper function for testing method composition.
"""
return value + 1 | 35,152 |
def ffmpeg_video_write(data, video_path, fps=25):
"""Video writer based on FFMPEG.
Args:
data: A `np.array` with the shape of [seq_len, height, width, 3]
video_path: A video file.
fps: Use specific fps for video writing. (optional)
"""
assert len(data.shape) == 4, f'input shape is not valid! Got {d... | 35,153 |
def add_languages_modify(schema, fields, locales=None):
"""Adds localized field keys to the given schema"""
if locales is None:
locales = get_locales()
ignore_missing = toolkit.get_validator('ignore_missing')
convert_to_extras = toolkit.get_converter('convert_to_extras')
for locale in locale... | 35,154 |
def package_tests(zip_file, robotium_cfg_file, test_apk, skp_dir=None,
resource_dir=None):
"""Package all tests into a zip file."""
sdcard_files = []
with zipfile.ZipFile(zip_file, 'w') as zip_file:
zip_file.write(test_apk, os.path.basename(test_apk), zipfile.ZIP_DEFLATED)
if skp_dir:
... | 35,155 |
def apply_temporary_fixes(font, is_for_cros=False, is_for_web=False):
"""Apply some temporary fixes."""
# Fix usWeight:
font_name = font_data.font_name(font)
weight = noto_fonts.parse_weight(font_name)
weight_number = noto_fonts.WEIGHTS[weight]
# Chrome OS wants Thin to have usWeightClass=100
... | 35,156 |
def from_iterable(
iterable: tp.Union[tp.Iterable[T], pypeln_utils.Undefined] = pypeln_utils.UNDEFINED,
use_thread: bool = True,
) -> tp.Union[Stage[T], pypeln_utils.Partial[Stage[T]]]:
"""
Creates a stage from an iterable.
Arguments:
iterable: A source Iterable.
use_thread: If set ... | 35,157 |
def get_consumer_secret():
"""This is entirely questionable. See settings.py"""
consumer_secret = None
try:
loc = "%s/consumer_secret.txt" % settings.TWITTER_CONSUMER_URL
url = urllib2.urlopen(loc)
consumer_secret = url.read().rstrip()
exc... | 35,158 |
def thread_keep_storing_one_File(syn, project, schedule_for_cleanup):
"""Makes one file and stores it over and over again."""
# Make a local file to continuously store
path = utils.make_bogus_data_file()
schedule_for_cleanup(path)
myPrecious = File(path, parent=project, description='This bogus file... | 35,159 |
def preprocess(src, cutoff, shape=(240, 240)):
"""Pre-processes the image"""
# Resizing the image, for computational reasons, else the algorithm will take too much time
dst = cv2.resize(src, shape)
# (automated) Canny Edge Detection
dst = aced.detect(dst)
# Binary or Adaptive thresholding
ds... | 35,160 |
def test_main():
"""
call the main
:return:
"""
visitor.main() | 35,161 |
def is_aware(value):
"""
Determines if a given datetime.datetime is aware.
The concept is defined in Python's docs:
http://docs.python.org/library/datetime.html#datetime.tzinfo
Assuming value.tzinfo is either None or a proper datetime.tzinfo,
value.utcoffset() implements the appropriate logic.
... | 35,162 |
def check_manifest(of: fsspec.core.OpenFile, manifest: str) -> bool:
"""
Check to see if a given string exists in a manifest file.
Parameters
==========
x: str
The string to check.
manifest: str
The path to a manifest file.
Returns
=======
True if the file is *not... | 35,163 |
def loadExpObjectFast(filename):
"""loads a CiPdeN object from a JSON file
irnores generation data, expect the first and the last
Parameters
----------
filename : str
includes path and filename
Returns
-------
dict
returns a dict if it worked,
else retu... | 35,164 |
def makeLoc(*args):
"""This function creates locators based on the number specified by the user"""
# We query the number of arms given by the user
start.armsValue = cmds.intSliderGrp(start.numArms, q=True, v=True)
# We iterate over this number
for i in range(1, start.armsValue+2):
# ... | 35,165 |
def Vij_beam_correct(j, Vij, centre=None):
"""Corrects Vij for the beam amplitude.
This is required when beam correction has not been done during calibration.
Assumes identical beam patterns.
Assumes calibrator source is at centre of image"""
my_shape = Vij[0, 0, :, :].shape
if centre is None:
... | 35,166 |
def set_colorize(value: bool) -> None:
"""Globally turn colored terminal output on/off"""
global _COLOR
_COLOR = value | 35,167 |
def _calc_sc_1ph(net, bus):
"""
calculation method for single phase to ground short-circuit currents
"""
_add_auxiliary_elements(net)
# pos. seq bus impedance
ppc, ppci = _pd2ppc(net)
_calc_ybus(ppci)
# zero seq bus impedance
ppc_0, ppci_0 = _pd2ppc_zero(net)
_calc_yb... | 35,168 |
def get_data(github, selected_repos):
"""Generate json form custom-cards org."""
org = "custom-cards"
data = {}
repos = []
if selected_repos:
repos.append(selected_repos)
else:
for repo in list(github.get_user(org).get_repos()):
repos.append(repo.name)
for repo in... | 35,169 |
def provider_pre_delete(sender, instance, **kwargs):
"""Forward signal to ChangeBuilder"""
from supervisr.core.providers.multiplexer import ProviderMultiplexer
from supervisr.core.providers.objects import ProviderAction
from supervisr.core.models import ProviderTriggerMixin
if issubclass(instance._... | 35,170 |
def test_convert(pending_info, expected):
"""
Test conversion from the minimum version supported to the last version supported.
"""
convert(pending_info)
diff = DeepDiff(pending_info, expected)
assert (
not diff
), "diff found between converted pending_info and expected pending_info" | 35,171 |
def fensemble_boosting_regressor(preds_valid, targs_valid, preds_train, targs_train, alpha=0.9):
"""
Learn combination of ensemble members from training data using Gradient Boosting Regression
Also provides prediction intervals (using quantile regression)
alpha = % prediction interval
https://sciki... | 35,172 |
def setup_land_units(srank):
"""
Sets up our land forces for an effective social rank. We go through an populate a dictionary
of constants that represent the IDs of unit types and their quantities. That dict is then
returned to setup_units for setting the base size of our navy.
Args:
... | 35,173 |
def one_hot_encode_test(test, txt_indexes_test):
"""Return the test dataframe with label-encoded textual features.
Keyword arguments:
test -- the test dataframe
txt_indexes_test -- ndarray of test textual column indexes
"""
test_dummies = pd.get_dummies(test.iloc[:, txt_indexes_test])
test.drop(test.sele... | 35,174 |
def get_with_label(label, tree):
"""
Get a tree's node given it's label
"""
return [n for n in tree.children if n.label == label][0] | 35,175 |
def plot_image_retrieval(query_image, query_image_class, query_dataset, queried_dataset, top_distances, top_indices):
"""Prints and plots the results of a retrieval query, showing the query image and the top results and distances.
Args:
query_image: tensor with the original image pixels.
query_imag... | 35,176 |
def test_convertcolor_pipeline(plot=False):
"""
Test ConvertColor of transforms
"""
logger.info("test_convertcolor_pipeline")
convert_color(mode.ConvertMode.COLOR_BGR2GRAY, cv2.COLOR_BGR2GRAY, plot)
convert_color(mode.ConvertMode.COLOR_BGR2RGB, cv2.COLOR_BGR2RGB, plot)
convert_color(mode.Con... | 35,177 |
def test_text_dataframe_csv():
""" Tests if the songs are written into the dataframe,
if omitted clauses still exists or not,
if .csv is created """
namelist = ['eric-clapton']
loc = os.getcwd()
df_ = text_dataframe_csv(namelist, loc)
str_unf = df_[df_['eric-clapton'].str.contains("Unfortun... | 35,178 |
def load_state_dicts(checkpoint_file, map_location=None, **kwargs):
""" Load torch items from saved state_dictionaries
"""
if map_location is None:
checkpoint = torch.load(checkpoint_file)
else:
checkpoint = torch.load(checkpoint_file, map_location=map_location)
for key, value in kw... | 35,179 |
def build_transform_gen(cfg, is_train):
"""
Create a list of :class:`TransformGen` from config.
Now it includes resizing and flipping.
Returns:
list[TransformGen]
"""
if is_train:
min_size = cfg.INPUT.MIN_SIZE_TRAIN
max_size = cfg.INPUT.MAX_SIZE_TRAIN
sample_styl... | 35,180 |
def initialize_uninitialized_variables(session, var_list=None):
"""Initializes all uninitialized variables.
Parameters
----------
session: tf.Session
The TensorFlow session to scan for uninitialized variables
var_list: list(tf.Varaible) or None
The list of variables to filter for uni... | 35,181 |
def test_atomic_g_year_month_min_inclusive_1_nistxml_sv_iv_atomic_g_year_month_min_inclusive_2_3(mode, save_output, output_format):
"""
Type atomic/gYearMonth is restricted by facet minInclusive with value
2012-02.
"""
assert_bindings(
schema="nistData/atomic/gYearMonth/Schema+Instance/NISTS... | 35,182 |
def rain_specific_attenuation(R, f, el, tau):
"""Compute the specific attenuation γ_R (dB/km) given the rainfall rate.
A method to compute the specific attenuation γ_R (dB/km) from rain. The
value is obtained from the rainfall rate R (mm/h) using a power law
relationship.
.. math::
\\gamma... | 35,183 |
def filter(dg, start=None, end=None, tasks=(), skip_with=states.SKIPPED.name):
"""Filters a graph
TODO(dshulyak) skip_with should also support NOOP, which will instead
of blocking task, and its successors, should mark task as visited
:param skip_with: SKIPPED or NOOP
"""
error_msgs = []
su... | 35,184 |
def parse_input(usr_input):
"""Main logic of program"""
usr_input = usr_input.strip()
if usr_input.upper() == QUIT_KEY: #exit logic
return False
else:
usr_input = usr_input.split()
if len(usr_input) == 1: #if only one argument supplied default to weekly
... | 35,185 |
def plot_feature_importances(clf, title='Feature Importance',
feature_names=None, max_num_features=20,
order='descending', x_tick_rotation=0, ax=None,
figsize=None, title_fontsize="large",
text_fontsize="... | 35,186 |
def license(soup):
"""
Find the license text
"""
license = None
try:
license_section = get_license_section(soup)
license = extract_node_text(license_section[0], "license-p")
except(IndexError):
return None
return license | 35,187 |
def filter_nofix(df,NoFrames):
"""
Filter for immobilized origami with DNA-PAINT based tracking handle (TH) as described in `spt`_.
Positives are groups
- with a trajectory within the first 5 frames after the start of the measurement
- and number localizations within group are greater... | 35,188 |
def read_array(cls, start=None,end=None,weight=None,use_datetime = False, convert_delta = False):
"""
Read arrays of values for start, end and weight values that represent either the cummulative value of the data steps or the direct step
values seperately, indexed by the start and possibly end arrays.
... | 35,189 |
def store_nugget_nodes(gold_nuggets, sys_nuggets, m_mapping):
"""
Store nuggets as nodes.
:param gold_nuggets:
:param sys_nuggets:
:param m_mapping:
:return:
"""
# Stores time ML nodes that actually exists in gold standard and system.
gold_nodes = []
sys_nodes = []
# Store t... | 35,190 |
def return_union_item(item):
"""union of statements, next statement"""
return " __result.update({0})".format(item) | 35,191 |
def normalize_basename(s, force_lowercase=True, maxlen=255):
"""Replaces some characters from s with a translation table:
trans_table = {" ": "_",
"/": "_slash_",
"\\": "_backslash_",
"?": "_question_",
"%": "_percent_",
... | 35,192 |
def download_from_url(url, dst):
"""
kindly used from https://gist.github.com/wy193777/0e2a4932e81afc6aa4c8f7a2984f34e2
@param: url to download file
@param: dst place to put the file
"""
file_size = int(requests.head(url).headers["Content-Length"])
if os.path.exists(dst):
first_byte ... | 35,193 |
def _get_toc_string_from_log(file_handle):
"""
Returns a toc string or None for a given log file (EAC or XLD)
Copyright (c) 2018 Konstantin Mochalov
Released under the MIT License
Original source: https://gist.github.com/kolen/765526
"""
def _filter_toc_entries(file_handle):
"""
... | 35,194 |
def _matrix_M_entry(row, col):
"""Returns one entry for the matrix that maps alpha to theta.
See Eq. (3) in `Möttönen et al. (2004) <https://arxiv.org/pdf/quant-ph/0407010.pdf>`_.
Args:
row (int): one-based row number
col (int): one-based column number
Returns:
(float): transf... | 35,195 |
def get_environment_variable_names():
"""Helper to return names of environment variables queried.
Returns:
tuple: name of environment variable to control log level,
name of environment variable to control logging to file
"""
__log_file_environment_variable_name = mwi_env.get_env... | 35,196 |
def examine_vmx(dsname):
"""
function to download any vmx file passed to it via the datastore browser
and find the 'vc.uuid' and 'displayName'
"""
args = get_args()
try:
for file_vmx in VMX_PATH:
# print(file_vmx)
username = args.user
password = args.... | 35,197 |
def get_device_total_memory(index=0):
"""
Return total memory of CUDA device with index
"""
pynvml.nvmlInit()
return pynvml.nvmlDeviceGetMemoryInfo(
pynvml.nvmlDeviceGetHandleByIndex(index)
).total | 35,198 |
def repeat_elements(x, rep, axis):
"""Repeats the elements of a tensor along an axis, like `np.repeat`.
If `x` has shape `(s1, s2, s3)` and `axis` is `1`, the output
will have shape `(s1, s2 * rep, s3)`.
# Arguments
x: Tensor or variable.
rep: Python integer, number of times to repeat.... | 35,199 |
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