content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def getdaydate(Occurrence: str = 'Second', DayOfWeek: str = 'Tuesday', Month: int = date.today().month, Year: int = date.today().year):
"""
Overivew:
return the date for occurrence of a day of the week
Description:
function returns the date for a giving day of the week and occurrence of givi... | 75a1b4ed52b46a3f5414d5ff04166c45e0b206c0 | 3,612,432 |
from typing import Match
def equalsOp(template, rule, propertyList):
""" Process EQUALS operators """
matches = []
for prop in propertyList:
actualValue = getProperty(prop, rule)
if actualValue.strip() != str(rule.value).strip():
path = prop['Path']
path = path + r... | 659b55db4a12ab362afae13b7c895ee2830ad528 | 3,612,433 |
def scaling_factor(context, ruler, rulerWidth):
"""
:type context: HackedContext
"""
rulerElement = context.driver.simple_find(ruler)
rulerPixels = rulerElement.size['width']
scaleFactor = float(rulerPixels) / float(rulerWidth)
return scaleFactor | 5af9410879566b36a7a4d734c633d62cdcbddb7e | 3,612,434 |
def to_bytes(string, encoding="utf-8"):
"""
Converts the given object to binary object, bytes (Py3) or str (Py2).
:param string: The string like object to convert to bytes
:type string: ``object``
:param encoding: The encoding to encode the string with.
:type encoding: ``str``
:returns: The... | 0285af78a56997994d3613322897be728f17ec0d | 3,612,436 |
def makeVBClass(cls, init=None):
"""Returns the text of a VB class file wrapping the specified class
If provided, then the init parameter is used as the initializer for the class
so that you can link to the real Python object
"""
vb = [] # Build up as list and then .join it later
#
# Get t... | a773665ebe2a5d67e350ecd2a90cbe5a93bfe514 | 3,612,437 |
from ooiservices.app.uframe.status_tools import get_uid_digests, uid_digests_cache_update
def new_compile_assets(data, compile_all=False):
""" Process list of asset dictionaries from uframe; transform into (ooi-ui-services) list of asset dictionaries.
"""
info = False # Log missing vocab it... | 6540b1ba7568fc72c65d124cf0c03c01b21f0d8f | 3,612,438 |
def quat_delta(dalpha):
""" Form quaternion from small angle rotation vector dalpha """
half_norm = 0.5 * norm(dalpha)
scalar = cos(half_norm)
vector = sinc(half_norm) * 0.5 * dalpha
dqw = scalar
dqx, dqy, dqz = vector
dq = np.array([dqw, dqx, dqy, dqz])
return dq | 37c09c6a141db169f479ed9f98e8537ba72d3bf9 | 3,612,439 |
def cluster_main_stats(sparkdf, src="src", dst="dst", cluster_id_colname="cluster_id"):
"""calculate diameter / transitivity(GCC) / triangle clustering coefficient LCC / square clustering coeff
Args:
sparkdf: imput edgelist Spark DataFrame
src: src column name
dst: dst c... | 60d006d6a9a58442dd072dea67e853b98d0f2a18 | 3,612,440 |
from tensorflow.keras.models import load_model, Model
def build_keras_model_front_v2(path_to_keras_model, idx_to_target_w = -1):
"""
idx_to_target_w = to which layer (default = -1 (the last one)) - 1
"""
idx = 0
loaded_model = load_model(path_to_keras_model)
front_layers = loaded_model.layers[:idx_to_target_w... | 195339116ae3137fbd26f52d3adf48ea857e030e | 3,612,443 |
def center_margin_bb(bb, img_bounds, margin=0.25):
"""create new bounding box with input margin"""
bb_size = ([bb[0, 2] - bb[0, 0], bb[0, 3] - bb[0, 1]])
margins = (np.max(bb_size) * (1 + margin) - bb_size) / 2
bb_new = np.zeros_like(bb)
bb_new[0, 0] = np.maximum(bb[0, 0] - margins[0], 0)
bb_ne... | 03c1f1fe5200bc0a57ee777acc9a065ccb73a5dd | 3,612,444 |
def multi_fidelity_optimize(
vocs, evaluate_f, budget=1, processes=1, base_cost=1.0, **kwargs
):
"""
Multi-fidelity optimization using Bayesian optimization
This optimization algorithm attempts to reduce the computational cost of
optimizing a scalar function through the use of many low-cost approxi... | ce431c258204ebcf916f65218c5b0c9c1cbe0707 | 3,612,445 |
def unique_filename(filename, upload_id):
"""Replace filename with upload_id, preserving file extension if any.
Args:
filename (str): Original filename
upload_id (str): Unique upload ID
Returns:
str: An upload_id based filename
"""
if "." in filename:
return "."... | 04602532627d8557436c27f2e7d8165f638ed155 | 3,612,448 |
def parse_object(*args):
"""
将查询到的结果转换为需要的结构
:param args:
:return:
"""
results = []
for cond in args:
result = {'OPEN_ID': cond.OPEN_ID,
'OBJECT_ID': cond.OBJECT_ID,
'OBJECT_NAME': cond.OBJECT_NAME,
'OBJECT_CLASS': cond.OBJECT_CLA... | be4bd26cca7dd50ed7ba66d814c0d3326d42ab73 | 3,612,449 |
def filter_ec2(tagName, ec2Name, env):
"""Filter EC2 Instances by Tag"""
ec2_list = []
ec2 = boto3.client('ec2', region_name=env.get('region'))
instances = ec2.describe_instances(
Filters=[
{
'Name': tagName,
'Values': [ec2Name]
}
]... | 17f084b8c65b1ed0844cce939e2356e377c880a2 | 3,612,450 |
def do_roll(u):
""" Actually do a 'roll' and updating global (secret) z """
global z
z = [update(val) for val in z]
r = [(((z[i] - 1) * x_coe[i] + u[i]) % 14) + 1 for i in range(NUM_CARDS)]
return r | 0ba2e23befc99efc1d9ca1a0337e868800d3b857 | 3,612,451 |
def pseudo_nm_tmatrix(markovian_tmatrix, stateA, stateB):
"""Obtain a pseudo non-Markovian transition matrix from a Markovian transiton matrix
The pseudo Markovian matrix has a shape of (2 n_states, 2 n_states)
"""
check_tmatrix(markovian_tmatrix)
n_states = len(markovian_tmatrix)
# pseudo no... | 4ac69b686694b822127d2a989b47e1d993f35122 | 3,612,452 |
def translate(img, x, y):
"""
Translates the given image.
:param x: distance to translate in the positive x-direction
:param y: distance to translate in the positive y-direction
:returns: the translated image as an numpy array
"""
M = np.float32([[1, 0, x], [0, 1, y]])
return cv2.warpAffine(img.reshape(28,28),... | 4209839032d8b0b2dce9557c0ad1b1a5b9317df2 | 3,612,453 |
def get_parent(graph, loc=None, exp=None, attr=None):
"""
Query syntax at start of expression: ..
Selects the parent of the current node
:param graph: (sub)graph instance to search
:param loc: path location identifier
:type loc: :py:str
:param exp: expression to query for in... | 3ab6ed2775feec96c9a14c7036609a10e3c59bd1 | 3,612,454 |
def htmlstriptags(*args):
"""
.. function:: htmlstriptags(str, default_tag_conversion)
Strips the html tags of input. It also converts "<br>" tags to new lines. If a default_tag_conversion is provided
then tags that would have been erased are converted to *default_tag_conversion*.
Examples:
>... | ed38d269f53a4665ab2f8983958f5ba5b787a87f | 3,612,456 |
def rtc_runner(rtc):
"""
:type rtc: pbcommand.models.ResolvedToolContract
:return:
"""
return gather_run_main(chunk_json=rtc.task.input_files[0],
chunk_key=Constants.CHUNK_KEY,
gathered_fn=rtc.task.output_files[0],
ln_n... | 04aacffbabf99befd67ff80c0e27e531dacb50ae | 3,612,457 |
from typing import Iterable
def check_and_prepare_sources(source):
"""
Check source type and return source(s) as a list
:param source:
single source or list of sources
:return:
list of sources based on provided source(s)
"""
source_ok = True
if isinstance(source, Iterable)... | c7f2a104c2eca06040a0d67304170b9433247655 | 3,612,458 |
import ctypes
def streamBurst(handle, numAddresses, aScanList, scanRate, numScans):
"""Initializes a stream burst and collects data. This function
combines eStreamStart, eStreamRead, and eStreamStop, as well as
some other device initialization.
Args:
handle: A valid handle to an open device.
... | 495f34a89a54b5e69e428b29169f96f005f0740f | 3,612,459 |
import traceback
import requests
def get_server_logs(hostname, instance_id):
"""
Get server logs for specified host and instance.
"""
host = get_host_by_hostname(hostname)
if not host:
return None
if host['uri']:
try:
r = requests.get("%s/servers/%s/logs" % (host['... | b76777d90d01963bc8c67885cf9411a12428648a | 3,612,460 |
def __to_pplot(p):
"""
Change Particle to pplot so that crossing 0-degree line can be plotted.
Parameters
----------
p: Particle
A given Lagrangian particle.
Returns
-------
re: tuple of particle and cross0
Particle after LON being modified and whether it crosses 0-degr... | ad343758e137cf6e6b3bd9ec8264c4833857807f | 3,612,461 |
def ror (endv, iv):
""" This capital budgeting function computes the rate of
return on an investment for one period only.
iv = initial investment value
endv = total value at the end of the period
Example: ror(100000, 129,500)
"""
return (endv - iv)/iv | 43a1339d45725a5e04fd809a6cfb708b6b49b829 | 3,612,462 |
import torch
def cov(x):
"""
https://en.wikipedia.org/wiki/Covariance_matrix
"""
E_x = x.mean(dim=1)
x = x - E_x[:, None]
return torch.mm(x, x.T) / (x.size(1) - 1) | ff4c5d3f90569f8c1a2d9a1ea9679079fb72b681 | 3,612,463 |
def ParseOptions(argv,
docstring,
extra_opts="", extra_long_opts=(),
extra_option_handler=None):
"""Parse the options in argv and return any arguments that aren't
flags. docstring is the calling module's docstring, to be displayed
for errors and -h. extra_opts ... | dc0f5574f2ba4d442cbbaca702f14b3ca1d90668 | 3,612,464 |
def one_configuration_row():
"""
ConfigurationRow
"""
return [
ConfigurationRow(
id=100,
name="Product 1: Feature 1",
product="testproduct1",
features='{"feature1": 1}',
license_servers=["flexlm:127.0.0.1:2345"],
license_ser... | ddb8af6adc76cca4954d75fffe2b45b8f7a69140 | 3,612,467 |
def atan(x, f=None):
"""
Computes trigonometric inverse tangent, element-wise.
The inverse of tan, so that if y = tan(x) then x = arctan(y).
:param x: Input array.
:type x: array
:param f: Machine learning framework. Inferred from inputs if None.
:type f: ml_framework, optional
:return:... | d1ced7d17c22fc5a60e7db71d9e0fab81be3bfb1 | 3,612,468 |
def butter(cutoff, fs, btype="low", order=4):
"""Return Butterworth filter coefficients. See scipy.signal.butter for a
more thorough documentation.
Parameters
----------
cutoff : array
Cutoff frequency, e.g. roughly speaking, the frequency at which the
filter acts. Units should be s... | febbdf7ecf7146c265d773edb1c4c9fbf39afef7 | 3,612,469 |
def is_dimensionless(quantity_or_unit: QuantityOrUnit) -> bool:
""" Check wheter a quantity or unit is dimensionless.
Parameters
----------
quantity_or_unit : QuantityOrUnit
A quantity or a unit
Returns
-------
bool
Whether the quanti... | eebc6c2edf02d370b3b14b7c936b223b1aa70dcb | 3,612,470 |
def count_lines(filename):
"""Returns the number of lines of the file :obj:`filename`."""
with tf.io.gfile.GFile(filename, mode="rb") as f:
i = 0
for i, _ in enumerate(f):
pass
return i + 1 | 5dea14a967299c8343756093588bd46d3e186207 | 3,612,471 |
def _build_transformer(gin_function):
"""
Makes a session and a default graph, loads the simple graph into it, and then calls
gin_function(session) to build the :py:obj:`TFInputGraph` object.
Return the :py:obj:`TFTransformer` created from it.
"""
graph = tf.Graph()
with tf.Session(graph=gra... | a0b98c5d6b00206cc683e4a8e8405421f047d18e | 3,612,472 |
def forecast_starter(seq, past, dim_in):
"""prepares the staring vector for RNN forecast
:param seq: the sequence from which the beggining is used as the forcast starter
:param past: the number of considered steps in the past
:param dim_in: the dimensionality of the data fed to the network
:returns: starter inpu... | 8cd572afead804d1900cedcb5dcecbe2e468ee7a | 3,612,473 |
def _get_single_osc(centers, powers, bws, osc_low, osc_high):
""" Searches for an oscillations of specified frequency band.
Returns a single oscillation in that band.
Helper function for osc_per_vertex in MegSubj.
Parameters
----------
centers : 1d array
Vector of oscillation centers.
... | 04691f21ca1721b9008d312f1283c0885f147564 | 3,612,474 |
def list_property_flags(flags):
"""Return list of PROPERTY_FLAG strings from flag number."""
return [k for k, v in Lucam.PROP_FLAG.items() if v & flags] | 13b42c94aace2d678ff524fea5587fd12526f079 | 3,612,475 |
from typing import List
from typing import Type
import re
def union_func_name(prefix: str, union_args: List[Type]) -> str:
"""
Generate a function name that contains all union types
* `prefix` prefix to distinguish between serializing and deserializing
* `union_args`: type arguments of a Union
>... | a8f1201bccee0cdc35db5e9861538fb6c7210f0d | 3,612,476 |
def create_line(data):
""" Convenience function to create a new line chart with the right args """
return Line(data, x='year', y=countries,
legend=True, width=1400, height=300, ylabel='Energy use per capita',
palette=['purple', 'green', 'blue', 'pink']) | 930b52784a00aacd3d0e2fa981801821358af49f | 3,612,477 |
import time
def slow_subtractor(a, b):
"""Return a minus b."""
time.sleep(5)
return a - b | 6420ad990ef3d7ebbe6f43832ae306a49a65f971 | 3,612,478 |
def _convert_image(data, mask=None):
"""
Convert the input data to a float64 (double) `numpy.ndarray`,
required for input to `skimage.measure.moments` and
`skimage.measure.moments_central`.
The input ``data`` is copied unless it already has that
`numpy.dtype`.
If ``mask`` is input, then ma... | 1f472dcb697bb6936445ebefd31ae6813731a433 | 3,612,479 |
import torch
def concatenate_list_of_dict(list_of_dict) -> dict:
"""
Concatenate dictionary with the same set of keys
Args:
list_of_dict: list of dictionary to concatenate
Returns:
output_dict: the concatenated dictionary
"""
# check that all dictionaries have the same set of... | e38837d9e55cc17715bf988b585c3f4f371f7398 | 3,612,480 |
def get_task(request):
"""
取出所有任务类型信息
:param request:
:return:
"""
try:
res = Task.objects.get_task(1) # 调用search_host接口
return res # 返回json数据
except Exception as e:
return_dic = {
"result": F... | 64000dd312dd428fd03c665e6317339891eab9c6 | 3,612,481 |
import math
def degrees(input):
"""Convertir a grados
Función para convertir una entrada en radianes a grados.
Args:
input(Number): valor real
Returns:
Number
"""
return (180*input)/math.pi | 30377bb8c135dcc8fab2d23ee3703c89f5d772cb | 3,612,482 |
import random
async def getrolenamed(role: str, guild: discord.Guild, create: bool = False, exact: bool = True):
"""
Returns a role inside a Guild based on a given name.
:param role: The role to be gathered. -> str
:param guild: The guild to retrieve the role from. -> discord.Guild
:param create: ... | 6744b0857f0bd4ea91d65e897c748d07aecacb76 | 3,612,484 |
def get_head_commit(current_branch=None):
"""Gets the commit hash of HEAD in the given branch.
Args:
current_branch: String; containing the name of a branch. Defaults to
None and in this case is replaced by a call to get_current_branch.
Returns:
40 hexadecimal characters contai... | c369d8be82e32bce5f5c0f14094078c50b75e6c2 | 3,612,485 |
from typing import Set
from typing import OrderedDict
def _collect_format_strings(zones_map: ZonesMap) -> IndexMap:
"""Collect the 'formats' field and return a map of indexes."""
short_formats: Set[str] = set()
for zone_name, eras in zones_map.items():
for era in eras:
format = era['fo... | 9be77be17e8b0fea4e9be9610f81173cd7b63858 | 3,612,486 |
def lognormal(a, f):
"""
A lognormal distribution
Parameters
----------
a : ndarray(3)
* a[0] : the natural logarithm of the Gaussian amplitude
* a[1] : the natural logarithm of the center of the Gaussian
* a[2] : the width of the Gaussian in units of natural logarithm o... | ff64280e6e3a6955b9c80528eda127517f2e4ab9 | 3,612,487 |
def init_pose(pred_Rs, init_pose, weights=None):
"""
Should stay close to initial weights
pred_Rs is N x 24 x 3 x 3
init_pose is 72D, need to conver to Rodrigues
"""
init_Rs = batch_rodrigues(tf.reshape(init_pose, [-1, 3]))
init_Rs = tf.reshape(init_Rs, [-1, 24, 3, 3])
RRt = tf.matmul(in... | f63a2c78d40416d19e4caa95c54f4a1bceccbd48 | 3,612,488 |
from typing import List
import glob
def get_manifest_list(manifests_dir: str) -> List[str]:
"""Get a list of manifest files from the manifest directory."""
yml_endings = ["yml", "yaml"]
manifest_list = []
for yml_ending in yml_endings:
manifest_list += glob.glob(f"{manifests_dir}/**/*.{yml_en... | 0dc951cf08870c639735e24b048a41fb7ab6ea52 | 3,612,492 |
def render(root: MdastNode) -> str:
"""Convert MDAST to CommonMark compliant HTML."""
return MdastToHtmlTransform()(root) | 37a0859b1ac6a7d9e984c4c3f9fe5a466dae38cf | 3,612,494 |
def interpolateNDMinTimeLinear(x0, x1, vmax, amax):
"""interpolateNDMinTimeLinear(doubleVector x0, doubleVector x1, doubleVector vmax, doubleVector amax)"""
return _motionplanning.interpolateNDMinTimeLinear(x0, x1, vmax, amax) | 7ee459f1f55be0d0c9db2cbdeb7a4fbf919aadc2 | 3,612,495 |
async def async_setup_entry(
hass: HomeAssistant,
config_entry: ConfigEntry,
async_add_entities: AddEntitiesCallback,
) -> None:
"""Set up config entry."""
def get_sensor_description(type_string: str):
if (description := SENSOR_TYPES_DICT.get(type_string)) is None:
return Binary... | c274bf74f58d3a403bfaf5876e13b4b915addf29 | 3,612,496 |
def slack_channel_lookup_error(err):
"""'None' or 'Multiple' results were found during a ``one()`` query for
:class:`jackalope.database.models.SlackChannel``.
"""
current_app.logger.exception(err)
return err.message, 404 | 03ee30a9f6bfb0124fcb9a8a587d14921f7b4032 | 3,612,497 |
def actor_lookup_email(api_user, email):
""" Lookup an actor based on an email address,
useful for determining if an email address is available
PARAMETERS:
email - email alias
RETURNS: actor_ref
"""
query = Relation.gql("WHERE target = :1 AND relation = 'email'",
email)
for rel_... | 3984d4eb18147b163ed1aa8702c84fc13f3a2474 | 3,612,498 |
def load_user(user_id):
"""
Loads current user data
---
"""
return User.query.filter_by(id=user_id).first() | 9427193ac8fae1554a10d89356959bb20ccafbf4 | 3,612,499 |
def load_image(raw_path):
"""
Function loads images from a list of file paths into ndarrays
Params:
-------
raw_paths (str) -- Paths to the image files
"""
# Iterate through each path in list, load image, and store in an array
start = raw_path.find(FOLDER)
suffix = raw_path[start:]
img_path = DATA_DIR + '/... | c4dcd1896406c12f0914c8507c8a465cddbf2c18 | 3,612,501 |
def hp_qloguniform(min, max, q):
""" Quantized log uniform (base 10) distribution with a quantum of q, bounded by min and max. Returns a
value like round(exp(uniform(low, high)) / q) * q.
:param min: Exponent of the minimum value in base 10 (e.g., -4 for 0.0001).
:param max: Exponent of the maximum va... | b6d250e29f63c6bf5d621c88e408c85b9446d505 | 3,612,503 |
def display_account():
"""
function to display existing account
"""
return User.display_account() | 80e77505df1c663028228e1282dd96e70b93e29c | 3,612,504 |
def mols_to_pngs(mols, basename="test"):
"""Helper to write RDKit mols to png files."""
filenames = []
for i, mol in enumerate(mols):
filename = "BACE_%s%d.png" % (basename, i)
Draw.MolToFile(mol, filename)
filenames.append(filename)
return filenames | 7fa9079a083a396acdac9c784b085bf6824528d7 | 3,612,505 |
def create_game():
"""Post a new game result to the database."""
game = validate_game_submission(request.headers, request.json)
db.session.add(game)
db.session.commit()
print("New game: %s " % str(game))
return jsonify(game.to_dict()), 201 | 5468c35556c2976134c7b0ac857d4832e51f7d24 | 3,612,506 |
def rep1(arg):
"""
Matches one or more occurrences of 'arg'.
"""
assert isinstance(arg, ContentModel)
arg.quant = ContentModel.QUANT_PLUS
return arg | 69147eaac824a5d53832d3b5233fb845f42a52d4 | 3,612,507 |
import re
def _search_host(host=None, domain=None,
username=None, password=None, **kwargs):
"""Find invalid customer routes received by host."""
result = []
driver = napalm.get_network_driver("ios")
try:
with driver(hostname="{}.{}".format(host, domain),
us... | 42b784b334435d24ff39aa53099ac3ab6c416deb | 3,612,508 |
import scipy
def wilcoxon(x,y):
"""
One-sided wilcoxon sign-rank test.
p-value is small if \EE x >> \EE y.
"""
d = np.array(x)-np.array(y)
d = np.compress(np.not_equal(d,0), d, axis=-1)
n = len(d)
inds = np.argsort(np.abs(d))
sign_diff = np.sign(d)
W = np.sum([sign_diff[inds[... | e839bb205a294f2227b0dc400351921bc289d982 | 3,612,509 |
from typing import Iterable
from typing import Sequence
def bucket(
nodes: Iterable[BaseNode],
contraction_order: Sequence[network_components.CopyNode]
) -> Iterable[BaseNode]:
"""Contract given nodes exploiting copy tensors.
This is based on the Bucket-Elimination-based algorithm described in
`arXiv:q... | be5f2e1683886a5a09118df6e0316148fcd37be8 | 3,612,510 |
def contains_charset(s: str) -> bool:
"""Judge if given str is a valid charset name, return a boolean.
The str could be charset name like 'utf-8' and the code page number
like '65001'. Letter case ignored."""
return EncodingInfo._all_charsets_lower_cased_name.__contains__(s.lower()) | 57637e0161ac9b8a0a043dfd10ead799f95eec44 | 3,612,511 |
def prioritize_file_types(k):
""" Give a proper priority to certain file types when sorting """
# BN databases should always go first
if k.endswith('.bndb'):
return 0
# Definition files matter more than raw files
if any(k.endswith(e) for e in ('.def', '.idt')):
return 5
return 10 | 97bb9f0257c81d0640c45961c8fd68fe2e1eaee2 | 3,612,512 |
def cvar_importance_sampling_biasing_density(pdf, function, beta, VaR, tau, x):
"""
Evalute the biasing density used to compute CVaR of the variable
Y=f(X), for some function f, vector X and scalar Y.
The PDF of the biasing density is
q(x) = [ beta/alpha p(x) if f(x)>=VaR
[ (1-b... | 8ad888bf1445fd4666385938b1f2e1125e30eeb2 | 3,612,513 |
import numbers
def transforms_treeleaffeaturizer(
data,
predictor_model,
output_data=None,
model=None,
suffix=None,
label_permutation_seed=0,
**params):
"""
**Description**
Trains a tree ensemble, or loads it from a file, then maps a numeric
... | e28f90be69a862a058f802abb46b16c0e77e0497 | 3,612,516 |
from sage.functions.other import imag_part
def _sympysage_im(self):
"""
EXAMPLES::
sage: from sympy import Symbol, im
sage: assert imag_part(x)._sympy_() == im(Symbol('x'))
sage: assert imag_part(x) == im(Symbol('x'))._sage_()
"""
return imag_part(self.args[0]._sage_()) | 5dd609581d542205676acbe038e38c47eaa3828a | 3,612,517 |
async def fetch(url: str, session: network.Session) -> Comment:
"""
Asynchronously fetch a single comment to a deviation.
Args:
url: The URL to a comment.
session: A session to use for requesting data.
Returns:
A single comment.
Raises:
BadCommentPageError: If inst... | 0f941ffa7f08897aa3ba9d34876597a3bcc2dc0b | 3,612,518 |
from typing import Optional
from typing import Iterable
from typing import Any
def updater_fields(
fields: Optional[Iterable[str]] = None,
null_fields: Optional[Iterable[str]] = None,
updater_flag_preffix="update_",
**kwargs: Any,
) -> dict[str, Any]:
"""
Prepares the specified fields in **kwa... | 2f205aa8c94522a3cb82e63f3bbcb45df7fe11cf | 3,612,519 |
def reduce_angle(angle: Real) -> float:
"""
Move angle in radians to range (-π, π]
"""
if -PI < angle <= PI:
return angle
n = angle / TWOPI
n = ceil(n) if n < 0 else floor(n)
return angle - n * TWOPI | 8f02b1deba4ad729f4db20fc36b14bd7093773a2 | 3,612,520 |
def getATR(reader):
"""Return the ATR of the card inserted into the reader."""
connection = reader.createConnection()
atr = ""
try:
connection.connect()
atr = smartcard.util.toHexString(connection.getATR())
connection.disconnect()
except smartcard.Exceptions.NoCardException:
... | 3a690d1a4ddc9e8af70865511b76bab251984c7d | 3,612,521 |
def create_cnn_model(size_output=None, tf_print=False):
"""
create keras model with convolution layers of MobileNet and added fully connected layers on to top
:param size_output: number of nodes in the output layer
:param tf_print: True/False to print
:return: keras model object
"""
if s... | 67fd4b7ddef1cfd444993aa8a17a5ae13822f141 | 3,612,522 |
def get_vertex_ids(g, my_query, my_query_annot_field, row_or_col):
""" Extract vertices with the values in my_query in my_query_annot_field.
If row_or_col is "row", my_query will only be searched for in row vertices.
If row_or_col is "col", my_query will only be searched for in column
vertices. If row_o... | dc93142c4a7b33e950a8f238647809964bb288b0 | 3,612,523 |
def data_preparation_fr(country_attributes,reversed_dates=True):
"""
Creates an sorted dictionary of dates, new cases and tests for the French Covid-19 data
Parameters
----------
country_attributes : dict
A dictionary containing country attributes
reversed_dates : bool
A boolean... | a8e333185294dec5bed3238da3b08550f4cb8dbd | 3,612,524 |
import types
import ast
def get_segment_from_frame(caller_frame: types.FrameType, segment_type, return_locs=False) -> str:
"""Get a segment of a given type from a frame.
*NOTE*: All this is rather hacky and should be changed as soon as python 3.11 becomes widely
available as then it will be possible to g... | 3cf1c461611e5583ca588c0fbd326889e8d3d747 | 3,612,525 |
def distribute_mpi_all(dimension, mpi_comm=MPI.COMM_WORLD):
"""
Computes the start indexes and bin sizes of all splits to distribute
computations across an MPI communicator.
Parameters
----------
dimension : int
the size of the array to be distributed
mpi_comm : mpi4py.MPI.Comm, opt... | a5a1c404460927ff15e1026e29bbc07330ebea1f | 3,612,526 |
def gradient_cmap(colors, nsteps=256, bounds=None):
"""Return a colormap that interpolates between a set of colors.
Ported from HIPS-LIB plotting functions [https://github.com/HIPS/hips-lib]
"""
ncolors = len(colors)
# assert colors.shape[1] == 3
if bounds is None:
bounds = np.linspace(... | 01cf002e041b90abc90e1400fcc03b6375cdc4e5 | 3,612,527 |
def confounder_ppca(X, latent_dim, holdout_portion):
"""
Function to estimate a substitute confounder using PPCA.
Adopted from the deconfounder_tutorial.ipynb
https://github.com/blei-lab/deconfounder_tutorial
Args:
X: A numpy array or pandas dataframe of the original covariates
d... | 70a31c1942ce3db50a95b0eae781493c6d4ab77e | 3,612,529 |
from typing import Tuple
import shutil
def create_job(user_folder: str, user_id: str, upload_file: str) -> Tuple[str, str, str]:
"""Upload several files and check they are properly created - utils method."""
file_service.setup_jobs_result_folder(user_id=user_id, job_id='test-job')
job_run_folder = join(us... | be02f87bdab1a2ba256a68c9d37f8f05c2728884 | 3,612,530 |
def get_vserver(svm_cx, vserver_name):
"""
Return vserver information.
:return:
vserver object if vserver found
None if vserver is not found
:rtype: object/None
"""
vserver_info = netapp_utils.zapi.NaElement('vserver-get-iter')
query_details = netapp_utils.zapi.NaElement.cre... | ae5972ea2c3ba354b9ee4589633b53839a0399b7 | 3,612,531 |
def saveData(dataset={}, filepath= 'defaultFilePath'):
"""
Saves the 'DATA' component of a dataset as an ascii file
in XAYAcore graph format.
"""
return xayacore.writeGraph(dataset['DATA'], filepath) | 3d73f492014861f2b3b488a638285813bdeca31a | 3,612,532 |
def _move_cols_to_front(data: pd.DataFrame, column_count: int = 1) -> pd.DataFrame:
"""
Move N columns from end to front of DataFrame.
Parameters
----------
data : pd.DataFrame
The input DataFrame
column_count : int, optional
The number of columns to move (the default is 1)
... | ee03bbfa24d06aab1a6f2d5c987a2e11c58cdafd | 3,612,533 |
def qual_vector(qual=None, capBQ=45, minBQ=0.25):
"""convert the base call quality score to related values for different genotypes
http://emea.support.illumina.com/bulletins/2016/04/fastq-files-explained.html
https://linkinghub.elsevier.com/retrieve/pii/S0002-9297(12)00478-8
@Note The parameter "q... | 42f8f4f3c038aa11a96683983cb220f710617e8b | 3,612,534 |
def load_runner(
tag: t.Union[str, Tag],
*,
predict_fn_name: str = "predict",
device_id: str = "CPU:0",
predict_kwargs: t.Optional[t.Dict[str, t.Any]] = None,
resource_quota: t.Union[None, t.Dict[str, t.Any]] = None,
batch_options: t.Union[None, t.Dict[str, t.Any]] = None,
model_store: "... | 1d7a8b4c12990d33c2d7d99d05c3843f35476ee0 | 3,612,535 |
def random_uuid() -> str:
"""description of random_uuid"""
return str(uuid4()) | b23c6a9f180f757af6a484ba91a0d9b6a820dc3d | 3,612,536 |
def _parse_see_args(dev_id, data):
"""Parse the payload location parameters, into the format see expects."""
kwargs = {
'gps': (data[ATTR_LATITUDE], data[ATTR_LONGITUDE]),
'dev_id': dev_id
}
if ATTR_GPS_ACCURACY in data:
kwargs[ATTR_GPS_ACCURACY] = data[ATTR_GPS_ACCURACY]
if... | fb159ef6dee3a42ae433262382d5ddca87c7bf6b | 3,612,537 |
def _updateStartTimes(srow, delayDF, temkey):
"""
Update the starttimes to reflect the values trimed in alignement
"""
statsdict = srow.Stats
sdo = srow.Stats
for key in sdo.keys():
temtemkey = temkey.loc[temkey.NAME == key].iloc[0]
delaysamps = delayDF[delayDF.Events == key].ilo... | b72754a57eae43442b9f0f2df796b7128c36ee8b | 3,612,538 |
def playlist_detail(playlist_id, limit=1000):
"""
根据歌单id获取歌单的详情
Args:
playlist_id:
limit:最大歌曲数为1000
"""
for i in range(retry_times):
try:
base_url = 'http://music.163.com/api/playlist/detail?id=%s&limit=%s' % (playlist_id, limit)
res = requests.get(ba... | ea7c5e747186bef78e8346255ffbf4b41c85909f | 3,612,539 |
def checksum(s, m):
"""Create a checksum for a string of characters, modulo m"""
# note, I *think* it's possible to have unicode chars in
# a twitter handle. That makes it a bit interesting.
# We don't handle unicode yet, just ASCII
total = 0
for ch in s:
# no non-printable ASCII chars, including space... | 836e0f36ed3d87db8d3f2420230eb4f3f5d4d94c | 3,612,540 |
def vol_std(data):
""" Return standard deviation across voxels for 4D array `data`
Parameters
----------
data : 4D array
4D array from FMRI run with last axis indexing volumes. Call the shape
of this array (M, N, P, T) where T is the number of volumes.
Returns
-------
std_... | 64a031026d609ca759634308e1f70c4c24c34cb9 | 3,612,542 |
def parse_component_arg(parser, storage: Storage, component: str):
"""Wrapper around parse_storage_component() to parse CLI arguments into patch elements"""
try:
component = parse_storage_component(storage, component)
except ValueError:
parser.error(f"invalid component: {component}")
if ... | f3e4764354c5c5f1c6e0574259cc5fce963d1a2b | 3,612,543 |
from typing import ChainMap
def parse_flags(flags={}, preset="", **other) -> "int":
"""
Optimised for "parse_flags(**settings)" use-case,
returns a flags integer suitable for view.add_regions.
"""
preset = presets[preset].get("flags", {})
orsum_flags = 0
for flag_name, active in ChainMap(flags, preset, dict.... | 8a1dac9dd330ab583a0a16a42c78d7a4c7360ccd | 3,612,544 |
def _get_uniprot_id(agent):
"""Get the Uniprot ID for an agent, looking up in HGNC if necessary.
If the Uniprot ID is a list then return the first ID by default.
"""
up_id = agent.db_refs.get('UP')
hgnc_id = agent.db_refs.get('HGNC')
if up_id is None:
if hgnc_id is None:
# I... | f59b19f86a2d8d48fa271f64892ec7453c98ec9e | 3,612,546 |
def adv_rk2(y, t, dt, scratch1, scratch2):
"""Advance the solution one step using the 2nd order R-K method"""
n = len(y)
scratch1 = rhs(y, t)
for i in range(n):
scratch2[i] = y[i] + dt*scratch1[i]
t2 = t + dt
scratch2 = rhs(scratch2, t2)
for i in range(n):
y[i] = y[i] + 0.5*d... | 3ee8051c08fcdb78715a20e0a6e90334e6054ac6 | 3,612,547 |
from pathlib import Path
def retrieve_token() -> str:
"""Retrieves token from BEARER_TOKEN_PATH"""
bearer_file_path = Path(BEARER_TOKEN_PATH)
if not bearer_file_path.is_file():
with login_lock:
if not bearer_file_path.is_file():
return login()
with bearer_file_path.... | c6982f74f7ba716bb9d2d9481ce0c22a237f3e82 | 3,612,551 |
def classification_phi_gradient(input_to_class, data):
"""
This is about a very simple model: there's an input layer, and a softmax output layer. There are no hidden layers, and no biases.
This returns the gradient of phi (a.k.a. negative the loss) for the <input_to_class> matrix.
<input_to_class> is a ... | 4762e8d69f4473c1a0089cd2263a9b2dc0a1b508 | 3,612,552 |
import urllib
def getData(stops):
"""Retrieves data from the MTA's realtime feed, then creates a train object for each
train described in the feed and stores each train object in a master list.
"""
feed = gtfs_realtime_pb2.FeedMessage()
response = urllib.urlopen('http://datamine.mta.info/mta_esi.p... | aae39c253b24d7df00cb4f981fc7d0263dfe8088 | 3,612,553 |
def ringing(img2d, alpha=0.5, noiseSize=0, noiseValue=2, clip=True, seed=None):
"""
https://bavc.github.io/avaa/artifacts/ringing.html
:param img2d: 2d image
:param alpha: float, reconstruction quality (0-1) optimal values for tv ringing modeling is 0.3-0.99
:param noiseSize: float, noise size (0-1... | 2b7db2383eba12c20b0701d7a126c4e91066bee7 | 3,612,554 |
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