content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def test_typecheck() -> None:
"""
Typechecks LabGraph using mypy. Assumes that the test is running from a PEX (if
not, the test skips).
"""
mypy_ini_path = get_resource_tempfile(__name__, "mypy.ini")
mypy_args = ["--config-file", mypy_ini_path]
zip_path: Optional[str] = None
try:
... | 63,900 |
def calculateExtents(values):
"""
Calculate the maximum and minimum for each coordinate x, y, and z
Return the max's and min's as:
[x_min, x_max, y_min, y_max, z_min, z_max]
"""
x_min = 0; x_max = 1
y_min = 0; y_max = 1
z_min = 0; z_max = 2
if values:
initial_value = values[... | 63,901 |
def list_domain(config: dict[str, ...]) -> None:
"""List blacklisted domains"""
if is_root():
logger.warning("Please do not run this command as 'root'")
sys.exit(1)
if len(config["BL_DOMAINS"]) == 0:
click.echo("No blacklisted domains found")
sys.exit(0)
click.echo("All b... | 63,902 |
def split_data_train_dev_test(df):
"""
Creating sets for model building and testing. Steps:
1. Training set (70%) - for building the model
2. Development set a.k.a. hold-out set (15%) - for optimizing model parameters
3. Test set (15%) - For testing the performance of the tuned model
"""
# ... | 63,903 |
def start_simulate(pid):
"""Function for starting Circle-Map simulate"""
print("\nRunning Circle-Map Simulate\n")
sp.call("mkdir temp_files_%s" % pid, shell=True)
return(pid) | 63,904 |
def _prep_inputs_(X, y, theta, penalty=None, center=None):
"""Internal use function to simplify variable transformations for regression. This function is used on the inputs
to ensure they are the proper shapes
Parameters
----------
X : ndarray
y : ndarray
theta : ndarray
penalty : ndarr... | 63,905 |
def place_order(order='buy', price=0.0, currency='krw', coin_amount=0.0,
order_type='limit'):
"""Place an order.
:param order: ``buy`` | ``sell``
:param price: Price per BTC
:param currency: KRW by default. I wouldn't assume Korbit supports any other
currency at the... | 63,906 |
def shuffle_isis(spiketrain, n=1, decimals=None):
"""
Generates surrogates of a neo.SpikeTrain object by inter-spike-interval
(ISI) shuffling.
The surrogates are obtained by randomly sorting the ISIs of the given input
:attr:`spiketrain`. This generates independent `SpikeTrain` object(s) with
s... | 63,907 |
def is_installed(name):
"""
Check if a CRUX package is installed.
"""
with settings(hide("running", "stdout", "stderr", "warnings"), warn_only=True):
res = run("prt-get listinst {}".format(name))
return res.succeeded | 63,908 |
def test_analyze_crash_attribute(config):
"""The attribute checker crashes."""
FakeChecker = create_fake_checker(
check_type=CheckType.attribute, name="name", text="text", url="url"
)
def raises(*a):
raise ValueError
FakeChecker.run = raises
with patch("charmcraft.linters.CHEC... | 63,909 |
def parse_conf_node(env: BuildEnvironment, text: str, node: addnodes.desc_signature) -> str:
"""
Parse the content of a :rst:dir:`conf` directive.
:param env: The Sphinx build environment.
:param text: The content of the directive.
:param node: The docutils node class.
"""
args = text.split('^')
name = args[0... | 63,910 |
def are_postgres_migrations_uptodate() -> bool:
"""
Check that all migrations that the running version of the code knows about
have been applied.
Returns `True` if so, `False` otherwise
"""
try:
executor = MigrationExecutor(connections[DEFAULT_DB_ALIAS])
plan = executor.migratio... | 63,911 |
def step_lr(lr_max, epoch, num_epochs):
"""Step Scheduler"""
ratio = epoch/float(num_epochs)
if ratio < 0.3: return lr_max
elif ratio < 0.6: return lr_max*0.2
elif ratio <0.8: return lr_max*0.2*0.2
else: return lr_max*0.2*0.2*0.2 | 63,912 |
def test_list_string_enumeration_nistxml_sv_iv_list_string_enumeration_1_5(mode, save_output, output_format):
"""
Type list/string is restricted by facet enumeration.
"""
assert_bindings(
schema="nistData/list/string/Schema+Instance/NISTSchema-SV-IV-list-string-enumeration-1.xsd",
instan... | 63,913 |
def test_generate_from_file_name(tmp_path: Path) -> None:
"""Test generating from file names for input and output"""
test_case_path = _get_test_case_path("basic")
result_path = tmp_path / "result_with_another_name.html"
generate_from_filename(test_case_path, str(result_path.resolve()), False, False, Fa... | 63,914 |
def set_home(home):
""" Set Home """
# This module should be refactored into object to avoid the anti-pattern global statement
global CONFIG_PATH, CACHE_PATH, SHARE_PATH
CONFIG_PATH = os.path.join(home, "config")
CACHE_PATH = os.path.join(home, "cache")
SHARE_PATH = os.path.join(home, "share") | 63,915 |
def insertion_sort_counting(A):
"""
Instrumented Insertion Sort to return #swaps, #compares.
"""
N = len(A)
num_swap = num_compare = 0
for i in range(N):
for j in range(i, 0, -1):
num_compare += 1
if A[j - 1] <= A[j]:
break
num_swap += ... | 63,916 |
def add_statement(statement, state):
"""Add searched statement to found issues."""
stmt_text = statement.serialize_skip(' ')
name = statement.var(0).value()
if name in state:
state[name].append((stmt_text, statement.config.path))
else:
state[name] = [(stmt_text, statement.config.pat... | 63,917 |
def update_constellation(constellation_name):
"""
Updates the constellation via the cloud interface.
This is an operation applied to a running constellation to ugrade the
software
"""
proc = multiprocessing.current_process().name
log("update '%s' from proc '%s'" % (constellation_name, proc))... | 63,918 |
def dir_basename_from_pid(pid,j):
""" Mapping article id from metadata to its location in the arxiv S3 tarbals.
Returns dir/basename without extention and without full qualified path.
It also ignores version because there is no version in the tarbals.
I understand they have the updated version in the tarball... | 63,919 |
def heat_capacity(T, E, S):
"""
This function calculates the heat capacity by taking in
the temperature 'T', energy 'E', and entropy 'S' as NumPy
arrays. The number 'Num' is also necessary to complete
the heat capacity calculation.
"""
C = np.zeros_like(T)
for i in range... | 63,920 |
def test_all_search_terms():
"""Assert correct list created."""
assert sorted(expected_terms) == sorted(s.search_terms) | 63,921 |
def _print_exception_string(exc, first=0):
"""
Obtain and print a stacktrace and exception info.
:param exc: The exception that has been raised
:type exc: :py:class:`Exception`
:param first: The first index of the exception traceback to show
:type first: uint
"""
stack = traceback.extra... | 63,922 |
def train_default_classifier():
""" Train a classifier using the entire training dataset """
train = traindata.get_training_data_all()
train = util_ensemble_code.add_nac(train, 50)
geoloc_cls_default = GeoLocClassifier()
geoloc_cls_default.train_classifier(train)
if not ppclassifier.save_classif... | 63,923 |
def retrieve_penalties_from_event_data(period_events):
"""
Retrieves penalty information from game event data.
"""
penalties_dict = dict()
for period in period_events:
events = period_events[period]
for event in events:
if event['type'] != 'penalty':
cont... | 63,924 |
def create_folder_old(cluster_indices, yhat):
"""
:param cluster_indices: function that returns numpy array of list of indices where the specified label = actual label (yhat)
:param yhat: numpy array of class labels
:return: list of list of indices by label
"""
folders = [cluster_indices(-1, yha... | 63,925 |
def seconds_to_hours(
move_data, label_time=constants.TIME_TO_PREV, new_label=None, inplace=True
):
"""
Convert values, in seconds, in label_distance column to hours.
Parameters
----------
move_data : pymove.core.MoveDataFrameAbstract subclass.
The input trajectory data
label_time ... | 63,926 |
def numba_hist(samples, bins, range):
"""
Wrapper to optimise numpy's histogram function with numba.
"""
return np.histogram(samples, bins, range) | 63,927 |
def prepare_product_terms(session_context, product_dict, attributes=None, reprocessing_product=False,
batch_processing=False):
""" Processes the terms (cleans stop-words, stems, counts, persists DF's and TFIDF's) of
all TEXT-type attributes of the given product.
:param ses... | 63,928 |
def ortools_wrapper_count_solutions(model,var_array):
"""
ortools_wrapper((model,var_array,print_solution=print_solution,num_sols=0)
This is a simple wrapper for just counting the solutions of a model.
Parameters:
- model : the model
- var_array: the array of arrays of the decision vari... | 63,929 |
def pytest_sessionstart(session):
""" called after the ``Session`` object has been created and before performing collection
and entering the run test loop.
:param _pytest.main.Session session: the pytest session object
"""
# Let PyTest do its own thing
yield
if session.config.getoption("--s... | 63,930 |
def fv_match(form_name, regex, value):
""">> fv_match <formname> <field regex> <value>
Set value of *all* form fields with a name that matches the given
regular expression.
(Unlike 'formvalue' or 'fv', this will not complain about multiple
matches!)
"""
form = browser.form(form_name)
i... | 63,931 |
def load_data_mnist_without_cfg(batch_size, resize=None, root=os.path.join(
'~', '.pytorch', 'datasets', 'mnist'), use_normalize=True):
"""Download the MNIST dataset and then load into memory."""
root = os.path.expanduser(root)
transformer = []
if resize:
transformer += [transforms.Resize(re... | 63,932 |
def find_manhattan_distance():
"""
Двигаемся из точки (0,0) в соответствие со списком инструкция:
Nx - двигаться на North на x клеток
Sx - двигаться на South на x клеток
Ex - двигаться на East на x клеток
Wx - двигаться на West на x клеток
Lx - сменить направление взгляда на x градусов влево... | 63,933 |
def _extract_local_archive(working_dir, cleanup_functions, env_name, local_archive):
"""Helper internal function for extracting a zipfile and ensure that a cleanup is queued.
Parameters
----------
working_dir : str
cleanup_functions : List[() -> NoneType]
env_name : str
local_archive : str
... | 63,934 |
def padded_chunks(l, n):
"""Yield successive n-sized chunks from l."""
tl = n
out = []
for i in range(0, len(l), n):
if i + n > len(l):
tl = n - (len(l) - i)
out.append(np.pad(np.array(l[i:]), ((0, tl), (0, 0)), 'constant'))
else:
out.append(n... | 63,935 |
def _get_arguments():
"""Build argument parser."""
parser = argparse.ArgumentParser(description='This starts a measure calculation.')
parser.add_argument(
'-s', '--state',
help="""
State to extract data from.
""",
required=True,
type=str)
args ... | 63,936 |
def print_json(obj: Union[Dict[Any, Any], List[Any]]) -> None:
"""Display a dictionary or a list with indent."""
print(json.dumps(obj, default=str, indent=4)) | 63,937 |
def fix_extension(filename_end):
"""Processes ending section of filename to get extension
Args:
filename_end (str): starting section of filename
Returns:
str: file extension
"""
return_value = filename_end
pattern_string = r".*\.(\w{3})$"
pattern = re.compile(
patte... | 63,938 |
def setup_seed(seed):
"""
set up random seed
:param seed:
:return:
"""
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
np.random.seed(seed)
random.seed(seed)
# torch.backends.cudnn.deterministic = True
| 63,939 |
def rhombus_area(diagonal_1, diagonal_2):
"""Returns the area of a rhombus"""
# You have to code here
# REMEMBER: Tests first!!!
return (diagonal_1 * diagonal_2) / 2 | 63,940 |
def aes_decrypt(ciphertext, password):
"""
This runs a command equivilent to:
echo $ciphertext | openssl enc -aes-256-cbc -a -A -d -k $password
to produce plaintext.
"""
p0 = Popen(["1", ciphertext], shell=False, stdout=PIPE, executable="echo")
p1 = Popen(["1", "enc", "-aes-256-cbc", "... | 63,941 |
def on_gateway_state_event(_client: Client, event: GatewayStateEvent):
"""On Gateway state event callback."""
logger.info('''Gateway state received: serial: %s version: %s
connected devices: %s''',
event.gateway_serial,
event.gateway_app_version,
... | 63,942 |
def MaybeWriteOutputFile(filename, data):
"""Write a file from a test if allowed."""
if 'TEST_UNDECLARED_OUTPUTS_DIR' not in os.environ:
logging.error('Not allowed to write from the test.')
return
output_dir = os.environ['TEST_UNDECLARED_OUTPUTS_DIR']
filepath = os.path.join(output_dir, os.path.basena... | 63,943 |
def unicode_dict(_dict):
"""
Make sure keys and values of dict is unicode.
"""
r = {}
for k, v in iteritems(_dict):
r[unicode_string(k)] = unicode_obj(v)
return r | 63,944 |
def local_server():
"""Local Orchestrate API server.
Initializes a local instance of gRPC servicer serving the Orchestarte API.
Yields:
None.
"""
log.info('Starting local server')
log.info('ORCHESTRATE_PROJECT : %s', os.environ['ORCHESTRATE_PROJECT'])
log.info('ORCHESTRATE_API_HOST: %s', os.environ[... | 63,945 |
def main():
"""Run experiments"""
# Compute datasets
datasets = list(map(
lambda d: str(SNAP_DATA_DIR / (d + SNAP_DATA_EXT)),
preprocessed
))
# Log
logger.info('Starting CPLEX Experiment')
# Generate experiments
experiments = product(PREPROCESSING_TIMEOUTS, datasets)
... | 63,946 |
def first(column, ignore_nulls=False):
"""
Returns the first value in a group.
The function by default returns the first values it sees. It will return the first non-null
value it sees when ``ignore_nulls`` is set to true. If all values are null, then null is returned.
"""
return _with_expr(exp... | 63,947 |
def test_init(logger):
"""
Tests initialization.
"""
packet = layers.packet.Packet(IP(src="127.0.0.1", dst="127.0.0.1")/TCP(sport=2222, dport=3333, seq=100, ack=100, flags="S"))
trigger = actions.trigger.Trigger(None, None, None)
trigger.is_applicable(packet, logger)
actions.trigger.FIXED_T... | 63,948 |
def group_configurations_detail_handler(request, course_key_string, group_configuration_id, group_id=None):
"""
JSON API endpoint for manipulating a group configuration via its internal ID.
Used by the Backbone application.
POST or PUT
json: update group configuration based on provided informat... | 63,949 |
def geodetic2geocentric(h, lat, lon, ellipsoid=None, **kwargs):
"""Convert from geodetic to geocentric coordinates.
The geodetic coordinates refer to the reference ellipsoid
specified by input ellipsoid.
See module docstring for a defintion of the geocentric coordinate system.
Parameters:
... | 63,950 |
def test_conditional_shared_limits():
"""Test that conditional shared limits work."""
app = Flask(__name__)
limiter = Limiter(app, key_func=get_remote_address)
@app.route("/limited")
@limiter.shared_limit("1 per day", "test_scope")
def limited_route():
return "passed"
@app.route("/... | 63,951 |
def cross_layer_equalization_auto():
""" perform auto cross layer equalization """
# load a model
tf.keras.backend.clear_session()
_ = ResNet50(weights='imagenet', input_shape=(224, 224, 3))
sess = tf.compat.v1.keras.backend.get_session()
# get starting op name to invoke api for cle
input_... | 63,952 |
def _profile_is_configured(profile):
""" Check if given profile is already configured.
Args:
profile (str): Profile to check.
Returns:
bool: Whether the profile was already configured or not.
"""
exit_code, _ = awscli(f"configure list --profile {profile}")
return not exit_code | 63,953 |
def test_SEPASammlerExportView_1(browser):
"""Testing SEPASammler Energieabschlag 1 XML export."""
from sw.allotmentclub import SEPASammler, SEPASammlerEntry, BookingKind
from sw.allotmentclub import Member
import datetime
import lxml.etree
kind = BookingKind.find_or_create(
title='Energ... | 63,954 |
def update_input_image_permissions(
sender, instance, action, reverse, model, pk_set, **_
):
"""
Assign or remove view_image permissions for the algorithms editors and
creators when inputs/outputs are added/removed to/from the algorithm jobs.
Handles reverse relations and clearing.
"""
if ac... | 63,955 |
def is_equidistant(energy, tol=1e-08):
"""Returns True only when energy is equidistant."""
spacings = np.unique(np.diff(energy))
for spacing in spacings[1:]:
if not np.isclose(spacing, spacings[0], atol=tol):
return False
return True | 63,956 |
def test_logger_configured_with_yaml_file(fs):
"""Test fails if YAMLConfig cannot be instantiated from Yaml file"""
fs.create_dir(os.path.expanduser("~"))
fs.create_file("logging.yaml", contents=config_yaml)
YAMLConfig.from_file("logging.yaml")
logger = logging.getLogger("test_logger")
for handl... | 63,957 |
def acf(x,l):
""" Auto correlation function of a given vector x with a maximum lag of length l.
"""
import numpy as np
return np.array([1]+[np.corrcoef(x[:-i], x[i:])[0,1] \
for i in range(1, l)]) | 63,958 |
def rstdmf_divisions(
paths_to_restore,
restore_path,
disk_space_margin: int = 100 * GiB,
disk_refresh_time: int = 60,
rstdmf_size_limit: int = 10 * GiB,
rstdmf_file_limit: int = 24,
max_size_on_disk: int = 0,
verbose: bool = False,
preserve_order: bool = True,
):
"""Securely mak... | 63,959 |
def match_tenses(paths):
"""Match tenses from Spacy Doc objects.
French verses have already been parsed into
Spacy Doc objects. We can apply a Matcher
along with some custom-written rules to match
verb tenses of interest. We do that here.
"""
# load the parsed Spacy Docs, linked by verse... | 63,960 |
def gDawson(n):
"""Return the G-value of a single Dawson game"""
if n == 0:
return 0
if n == 1:
return 1
successors_g = []
for next_state in successors(n):
if len(next_state) == 1:
successors_g.append(gDawson(next_state[0]))
else:
successors_g.... | 63,961 |
def test_get_volunteers_wrong_method(client, method):
"""/volunteers only supports POST, try it with others"""
call = getattr(client, method)
response = call("/api/volunteers")
# Should return HTTP 405 "Method Not Allowed"
assert response.status_code == 405 | 63,962 |
def preprocess_data(
exec_time_data: pd.DataFrame,
neuro_bins: arrays.IntervalArray | pd.IntervalIndex,
impair_bins: arrays.IntervalArray | pd.IntervalIndex,
duration_bins: arrays.IntervalArray | pd.IntervalIndex,
transition_fade_distance: Optional[int] = None,
) -> pd.DataFrame:
"""
Process... | 63,963 |
def calc_stats(geojson, request, geostore_id):
"""Given an input geojson and (optionally) some params
(period, agg_by, etc), calculate the # of alerts in an AOI"""
geom = shape(geojson['features'][0]['geometry'])
geom_area_ha = tile_geometry.calc_area(geom, proj='aea')
# check if it's too big t... | 63,964 |
def test_resourceclass_view(initialized_sm, test_resources):
""" Get a view registered for a resource type """
# Get the request service
services = initialized_sm.services
request_service: RequestService = services['request']
request = request_service.make_request(resourceid='news/first')
# Re... | 63,965 |
def CaptureFrame(event, tile_id = 1, layer = 1):
"""Creating frame to modify tiles in area"""
global x1, y1
#TODO
#is lisbox selected?
if __main__.lb_Tiles.get(ACTIVE) != "":
tile = __main__.lb_Tiles.get(ACTIVE)
category = __main__.category.get()
if tile_id != 0:
... | 63,966 |
def repo(folder):
"""a git repo
The folder is initialized as a git repo.
The two files in the folder are committed.
"""
repo = git.Repo.init(folder)
repo.git.add(A=True)
repo.index.commit('initial commit')
yield repo | 63,967 |
def op_name(graph, tfobj_or_name):
"""
Get the name of a tf.Operation
:param graph: tf.Graph, a TensorFlow Graph object
:param tfobj_or_name: either a tf.Tensor, tf.Operation or a name to either
"""
graph = validated_graph(graph)
return get_op(graph, tfobj_or_name).name | 63,968 |
def check_conflict(tracks):
"""Check if there are 2 tracks in the same frame"""
conflict_idx = []
for i in range(len(tracks)):
for j in range(len(tracks)):
temp_dets = np.concatenate([tracks[i].dump(), tracks[j].dump()], axis=0)
if i!=j and not debug_frame(temp_dets):
... | 63,969 |
def save_pbobject_as_json(pb_object, save_path):
"""
Save protobuf (pb2) object to JSON file with our standard indent, key ordering, and other
settings.
Any calls to save protobuf objects to JSON in this repository should be through this function.
Parameters
----------
pb_object: pb2 objec... | 63,970 |
def parse_map_align_stdout(stdout):
"""Parse the stdout of map_align and extract the alignment of residues.
Parameters
----------
stdout : str
Standard output created with map_align
Returns
------
dict
A dictionary where aligned residue numbers in map_b are the keys and resi... | 63,971 |
def diff_dicts(new, origin):
"""Only compare the first layer, return a the dict that represent
add, remove, modify changes from new to origin
NOTE: If one of the two dicts comes from another, eg. from .copy(),
# make sure new and origin are totally different from each other,
that means, the result ... | 63,972 |
def move_to_answer(request, post, **kwargs):
"""
Move this post to be an answer
"""
parent = post.root
ptype = Post.ANSWER
msg = "dragged post to answer"
return move(request=request,
parent=parent,
source=post,
ptype=ptype,
msg... | 63,973 |
def kgen_lang_plugin_registered(plugin, manager):
""" a new kgen_lang plugin got registered.
:param plugin: the plugin module or instance
:param _kgen_lang.config.KGenLangPluginManager manager: kgen_lang plugin manager
.. note::
This hook is incompatible with ``hookwrapper=True``.
""" | 63,974 |
def read_feed(feed_url):
"""
Generates an events list based on a calendar URL
:param feed_url: valid URL for an iCalendar feed
:returns: list of icalendar Events
"""
response = requests.get(feed_url)
cal = Calendar.from_ical(response.content)
return get_events(cal) | 63,975 |
def generate_Promo2SinceNWeeks(all_data: pd.DataFrame, drop=True):
"""Generate (inplace) a feature 'Promo2SinceNWeeks' which counts the weeks (in integer) since
when a Promo2 started.
Fills missing values with -1000.
Creates a new boolean column 'Promo2SinceNWeeks_missing' highlighting the missing value... | 63,976 |
def nonmatsubara_exponents(coup_strength, cav_broad, cav_freq, beta):
"""
Get the exponentials for the correlation function for non-matsubara
terms for the underdamped Brownian motion spectral density . (t>=0)
Parameters
----------
coup_strength: float
The coupling strength parameter.
... | 63,977 |
def test_ipu_cpu_match(recompute_checkpoint, embedding_serialization):
"""
Test that the BERT model ran on IPU approximately matches that same
model ran on the CPU.
"""
import warnings
warnings.filterwarnings("ignore", category=torch.jit.TracerWarning)
# Config
args = """
--config u... | 63,978 |
def run_generate():
"""Entrance is here."""
parser = argparse.ArgumentParser()
parser.add_argument("model_name",
type=str,
help="like facebook/bart-large-cnn,t5-base, etc.")
parser.add_argument("input_path", type=str, help="like cnn_dm/test.source")
pa... | 63,979 |
async def main() -> NoReturn:
"""Example executor"""
_login: str = os.getenv('LOGIN')
_password: str = os.getenv('PASSWORD')
async with strava_connector(_login, _password,
filters={'date': datetime.datetime(year=2021, month=9, day=18)}) as strava_obj:
activities:... | 63,980 |
def get_branch_index_sub_divide(sub_divisions, edge_index, edge_degree, box_size=None, edge_x=None, edge_y=None,
edge_z=None, phi=None, theta=None, edge_phi=None, edge_theta=None,
branch_cutting_frequency=1000, mode='Euclidean', two_dimension=True):
""... | 63,981 |
def get_approved_anime_posts(conn, mal_id) -> dict:
"""
Get reddit posts for some anime, that were manually checked and approved.
"""
with conn:
with conn.cursor(cursor_factory=psycopg2.extras.DictCursor) as cursor:
query = """select mar.post_id, mar.sub_name, mar.source_link, mar.vi... | 63,982 |
def get_default_look_in_description(schema_node: SchemaNode) -> str:
"""Filter. Get the default value of a JSON Schema property. If not set, look for it in the description."""
default_value = get_default(schema_node)
if default_value:
return default_value
description = schema_node.keywords.get(... | 63,983 |
def deserialize_date(data_type, data, model_finder):
"""Deserializes data into a python date
Expected input value in format YYYY-MM-DD as per
https://tools.ietf.org/html/rfc3339#section-5.6 standard
Raise ValueError if the input is well formatted but not a valid date.
Return None if the... | 63,984 |
def sort(seq):
"""Cocktail sort implementation"""
# [5,3,6,1,8,7,2]
length = len(seq)
left, right = 0, length - 1
while left <= right:
for i in range(left, right):
if seq[i] > seq[i+1]:
seq[i], seq[i+1] = seq[i+1], seq[i]
right -= 1
for i in range(right, left, -1):
if seq[i-1] > seq... | 63,985 |
def tsunami_forecast_render():
"""
Renders the tsunami forecast index.
"""
return render_template("tsunami_forecast.html") | 63,986 |
def get_tensor_n_elements(tensor):
"""Return the number of elements in a tensor."""
if isinstance(tensor, numpy.ndarray):
return tensor.size
if torch_available():
if isinstance(tensor, torch.Tensor):
return torch.numel(tensor)
raise ValueError("Unsupported tensor type. "
... | 63,987 |
def task(
fn: Callable = None, **task_init_kwargs: Any
) -> Union[
"prefect.tasks.core.function.FunctionTask",
Callable[[Callable], "prefect.tasks.core.function.FunctionTask"],
]:
"""
A decorator for creating Tasks from functions.
Args:
- fn (Callable): the decorated function
- ... | 63,988 |
async def started_message(message: Message):
"""
Start command text,
it is received by the user
when he first writes to the bot
"""
await message.edit_text(
text=(
"Hi, I am a bot, able to send "
"you <b>any photo by the selected category.</b>... | 63,989 |
def test_require_single_existing_key():
"""
When given a single existing key, require() throws no exceptions
"""
# 'version' is one of the default values, so we know it'll be there
require('version') | 63,990 |
def setup(client: commands.Bot) -> None:
""" Cog's setup function. """
client.add_cog(TravelBuddies(client)) | 63,991 |
def ads(x, adsParameter):
""" ADS function """
p = adsParameter
exp1 = 1 + math.exp(-1 * (x - p.C + p.D / 2) / p.E)
exp2 = 1 + math.exp(-1 * (x - p.C - p.D / 2) / p.F)
dx = p.A + p.B / exp1 * (1 - 1 / exp2)
return dx / p.DMAX | 63,992 |
def sendNewReviewNotification(to_user, review, reviewed_name, redirect_url):
"""Sends out a notification to alert the user of a new Review.
Args:
to_user: The user who should receive a notification
review: The review which triggers this notification
reviewed_name: Name of the entity reviewed
redire... | 63,993 |
def label_diversity_norm(label):
"""
label差异性均值
:param label:
:return:
"""
return label_diversity(label) / label_set_num(label) | 63,994 |
def last_common_ancestor(taxonomies):
"""Compute last common ancestor"""
lca = list()
if len(taxonomies) > 1:
zipped = zip(*taxonomies)
for level in zipped:
if len(set(level)) > 1:
level = "*"
else:
level = level[0]
lca.appe... | 63,995 |
def get_resource_share(id: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetResourceShareResult:
"""
Resource Type definition for AWS::RAM::ResourceShare
"""
__args__ = dict()
__args__['id'] = id
if opts is None:
opts = pulumi.Invok... | 63,996 |
def ip_to_ascii(ip_address):
""" Converts the quad IP format to an integer representation. """
return struct.unpack('!L', socket.inet_aton(ip_address))[0] | 63,997 |
def nck(nval, kval):
"""from https://stackoverflow.com/questions/4941753/is-there-a-math-ncr-function-in-python"""
# https://en.wikipedia.org/wiki/Binomial_coefficient"""
# Computes the binomial coefficient n choose k"""
kval = min(kval, nval-kval)
numer = reduce(op.mul, range(nval, nval-kval, -1), ... | 63,998 |
def accumulate(results, gt, weights = None, exclude_keys = []) :
""" Take results from evaluate_objects and ground truth and compile a simple data structure
containing correct, total and nb_correlations """
# Get default weights
if weights == None :
weights = { a : { o : 1 for o in t.keys()... | 63,999 |
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