content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
from typing import Callable
from typing import Tuple
def metropolis_hastings(
proposal: Proposal,
state: State,
step_size: float,
ns: int,
unif: float,
inverse_transform: Callable
) -> Tuple[State, Info, np.ndarray, bool]:
"""Computes the Metropolis-Hastings accept-... | b5390d8a420ebb3d62c700fe246127935b658b6c | 3,642,133 |
from datetime import datetime
def Now():
"""Returns a datetime.datetime instance representing the current time.
This is just a wrapper to ease testing against the datetime module.
Returns:
An instance of datetime.datetime.
"""
return datetime.datetime.now() | 9a0657011e10b47eb755a575216944a786218f2e | 3,642,135 |
def ndvi_list_hdf(hdf_dir, satellite=None):
"""
List all the available HDF files, grouped by tile
Args:
hdf_dir: directory containing one subdirectory per year which contains
HDF files
satellite: None to select both Tera and Aqua, 'mod13q1' for MODIS,
'myd... | 068062bdef503b6652c62c142a1cf80d830fc8db | 3,642,136 |
def create_provisioned_product_name(account_name: str) -> str:
"""
Replaces all space characters in an Account Name with hyphens,
also removes all trailing and leading whitespace
"""
return account_name.strip().replace(" ", "-") | 743e7438f421d5d42c071d27d1b0fa2a816a9b4d | 3,642,138 |
def case34():
"""
Create the IEEE 34 bus from IEEE PES Test Feeders:
"https://site.ieee.org/pes-testfeeders/resources/”.
OUTPUT:
**net** - The pandapower format network.
"""
net = pp.create_empty_network()
# Linedata
# CF-300
line_data = {'c_nf_per_km': 3.8250977, 'r_ohm_pe... | 8e04a125df0e0a64008724d419bafe19481f5ac1 | 3,642,139 |
def _hack_namedtuple(cls):
"""Make class generated by namedtuple picklable."""
name = cls.__name__
fields = cls._fields
def reduce(self):
return (_restore, (name, fields, tuple(self)))
cls.__reduce__ = reduce
cls._is_namedtuple_ = True
return cls | 89468f0ffb5506ef0c9a33fec0d390576638e659 | 3,642,140 |
import tokenize
def build_model():
"""
Returns built and tuned model using pipeline
Parameters:
No arguments
Returns:
cv (estimator): tuned model
"""
pipeline = Pipeline([
('Features', FeatureUnion([
('text_pipeline', Pipeline([
... | 94bc0ad8a3eb48531cb6229972099369a9b9cf61 | 3,642,142 |
def INPUT_BTN(**attributes):
"""
Utility function to create a styled button
"""
return SPAN(INPUT(_class = "button-right",
**attributes),
_class = "button-left") | 6c6610626367795518ca737b53950d3687ae4d91 | 3,642,143 |
def load_annotations(file_path):
"""Loads a file containing annotations for multiple documents.
The file should contain lines with the following format:
<DOCUMENT ID> <LINES> <SPAN START POSITIONS> <SPAN LENGTHS> <SEVERITY>
Fields are separated by tabs; LINE, SPAN START POSITIONS and SPAN LENGTHS
... | 0c674142ae0d99670e63959c3c00ed0ca2c8fac1 | 3,642,144 |
import re
def search(request, template_name='blog/post_search.html'):
"""
Search for blog posts.
This template will allow you to setup a simple search form that will try to return results based on
given search strings. The queries will be put through a stop words filter to remove words like
'the'... | fdb72279b6ed5fe5e87c888b7a10c8a3ed8f94d0 | 3,642,145 |
import math
def orient_data (data, header, header_out=None, MLBG_rot90_flip=False, log=None,
tel=None):
"""Function to remap [data] from the CD matrix defined in [header] to
the CD matrix taken from [header_out]. If the latter is not
provided the output orientation will be North up, Eas... | 6ef27074692f46de56e5decd7d6b315e11c4d686 | 3,642,146 |
def _batchnorm_to_groupnorm(module: nn.modules.batchnorm._BatchNorm) -> nn.Module:
"""
Converts a BatchNorm ``module`` to GroupNorm module.
This is a helper function.
Args:
module: BatchNorm module to be replaced
Returns:
GroupNorm module that can replace the BatchNorm module provi... | 1b923a28a4727b72768acf0fc00d93d9012c5349 | 3,642,147 |
def _compute_bic(
data: np.array,
n_clusters: int
) -> BICResult:
"""Compute the BIC statistic.
Parameters
----------
data: np.array
The data to cluster.
n_clusters: int
Number of clusters to test.
Returns
-------
results: BICResult
The results as a BICR... | 3eb1a759a60f834f4e4fb7e364c9bce4ffb61230 | 3,642,148 |
def release_branch_name(config):
"""
build expected release branch name from current config
"""
branch_name = "{0}{1}".format(
config.gitflow_release_prefix(),
config.package_version()
)
return branch_name | 0d97c515aca8412882c8b260405a63d20b4b0f63 | 3,642,149 |
def torch2numpy(data):
""" Transfer data from the torch tensor (on CPU) to the numpy array (on CPU). """
return data.numpy() | c7ca4123743c4f054d809f0e307a4de079b0af10 | 3,642,150 |
def new_schema(name, public_name, is_active=True, **options):
"""
This function adds a schema in schema model and creates physical schema.
"""
try:
schema = Schema(name=name, public_name=public_name, is_active=is_active)
schema.save()
except IntegrityError:
raise Exception('... | efd6ed2737c6a25e8beeaef9f7fffebdb9592f10 | 3,642,151 |
def find_appropriate_timestep(simulation_factory,
equilibrium_samples,
M,
midpoint_operator,
temperature,
timestep_range,
DeltaF_neq_thresho... | 94000a07cfc8cf00e3440ff242c63da5c8be5d00 | 3,642,152 |
def critical_bands():
"""
Compute the Critical bands as defined in the book:
Psychoacoustics by Zwicker and Fastl. Table 6.1 p. 159
"""
# center frequencies
fc = [
50,
150,
250,
350,
450,
570,
700,
840,
1000,
1170,
... | 6301a6ee86d0ea3fb588213aa8b9453b14fb7036 | 3,642,153 |
def repackage(r, amo_id, amo_file, target_version=None, sdk_dir=None):
"""Pull amo_id/amo_file.xpi, schedule xpi creation, return hashtag
"""
# validate entries
# prepare data
hashtag = get_random_string(10)
sdk = SDK.objects.all()[0]
# if (when?) choosing sdk_dir will be possible
# sdk ... | 9527f2fbe6077e25eee72a570f2e9702cbf3b510 | 3,642,154 |
def edges_to_adj_list(edges):
"""
Transforms a set of edges in an adjacency list (represented as a dictiornary)
For UNDIRECTED graphs, i.e. if v2 in adj_list[v1], then v1 in adj_list[v2]
INPUT:
- edges : a set or list of edges
OUTPUT:
- adj_list: a dictionary with the vertices as ... | 683f10e9a0a9b8a29d63b276b2e550ebe8287a05 | 3,642,155 |
from typing import Optional
def _get_lookups(
name: str,
project: interface.Project,
base: Optional[str] = None) -> list[str]:
"""[summary]
Args:
name (str): [description]
design (Optional[str]): [description]
kind (Optional[str]): [description]
Returns:
list... | c8f700a19bbae0167c8474f033d625a763743db8 | 3,642,156 |
def unwrap(value):
"""
Unwraps the given Document or DocumentList as applicable.
"""
if isinstance(value, Document):
return value.to_dict()
elif isinstance(value, DocumentList):
return value.to_list()
else:
return value | 7e25c2935ff0a467e51097c4291e8d5f751c34db | 3,642,157 |
def home_all():
"""Home page view.
On this page a summary campaign manager view will shown with all campaigns.
"""
context = dict(
oauth_consumer_key=OAUTH_CONSUMER_KEY,
oauth_secret=OAUTH_SECRET,
all=True,
map_provider=map_provider()
)
# noinspection PyUnresol... | d987486f30cc5a8f6e697d9ccb92741b2d2067e4 | 3,642,158 |
import math
def _sqrt(x):
"""_sqrt."""
isnumpy = isinstance(x, np.ndarray)
isscalar = np.isscalar(x)
return np.sqrt(x) if isnumpy else math.sqrt(x) if isscalar else x.sqrt() | 16f566493deeaaf35841548e6db89408ca686bfe | 3,642,159 |
def update_subnet(context, id, subnet):
"""Update values of a subnet.
: param context: neutron api request context
: param id: UUID representing the subnet to update.
: param subnet: dictionary with keys indicating fields to update.
valid keys are those that have a value of True for 'allow_put'... | f1ac159f612d3b8a5459ee3b70c440cf7cf84cd5 | 3,642,160 |
def validate_params():
"""@rtype bool"""
def validate_single_param(param_name, required_type):
"""@rtype bool"""
inner_result = True
if not rospy.has_param(param_name):
rospy.logfatal('Parameter {} is not defined but needed'.format(param_name))
inner_result = Fal... | 8734d9db7e29b8b6c30dc8a3ae72b0cf18c85310 | 3,642,161 |
def user_exists(username):
"""Return True if the username exists, or False if it doesn't."""
try:
adobe_api.AdobeAPIObject(username)
except adobe_api.AdobeAPINoUserException:
return False
return True | 3767bec38c8058e7bd193e5532e4150ca501a96a | 3,642,163 |
def bags_containing_bag(bag: str, rules: dict[str, list]) -> int:
"""Returns the bags that have bag in their rules."""
return {r_bag
for r_bag, r_rule in rules.items()
for _, r_color in r_rule
if bag in r_color} | f9e67a4ade4dd9bdf25e05669741c71270007215 | 3,642,164 |
def default_mutable_arguments():
"""Explore default mutable arguments, which are a dangerous game in themselves.
Why do mutable default arguments suffer from this apparent problem? A function's
default values are evaluated at the point of function definition in the defining
scope. In particular, we can ... | a58a8c2807e29af68d501aa5ad4b33ad1aa80252 | 3,642,165 |
def is_text_file(file_):
"""
detect if file is of type text
:param file_: file to be tested
:returns: `bool` of whether the file is text
"""
with open(file_, 'rb') as ff:
data = ff.read(1024)
return not is_binary_string(data) | d064b51ea239f34ed97d47416b1f411650ce8a1a | 3,642,166 |
from typing import Union
from datetime import datetime
from typing import List
import pytz
def soft_update_datetime_field(
model_inst: models.Model,
field_name: str,
warehouse_field_value: Union[datetime, None],
) -> List[str]:
"""
Uses Django ORM to update DateTime field of model instance if the ... | 33034a548ee572706cd1e6e696d5a9249ad0b528 | 3,642,167 |
import itertools
def plot_confusion_matrix(
y_true,
y_pred,
normalize=False,
cmap=plt.cm.Blues,
label_list = None,
visible=True,
savepath=None):
"""
This function prints and plots the confusion matrix.
Normalization can be applied by setting `normali... | f15d2170ba0e869cb47e554ea374f93b05dbcab8 | 3,642,168 |
def _test_pressure_reconstruction(self, g, recon_p, point_val, point_coo):
"""
Testing pressure reconstruction. This function uses the reconstructed
pressure local polynomial and perform an evaluation at the Lagrangian
points, and checks if the those values are equal to the point_val array.
Param... | b70b202cc21ba632f18af2f5fcf72f7b6d509e91 | 3,642,169 |
def logout():
"""Logout
:return: Function used to log out the current user
"""
logout_user()
return redirect(url_for('index')) | f5e2ef30b47c645ba5671395a115eb6d6c9425f1 | 3,642,170 |
def get_user_messages(user, index=0, number=0):
"""
返回指定user按时间倒序的从index索引开始的number个message
"""
if not user or user.is_anonymous or index < 0 or number < 0:
return tuple()
# noinspection PyBroadException
try:
if index == 0 and number == 0:
all_message = user.messa... | bb0c499e5ca8ec650d2ebca12852d2345733e882 | 3,642,172 |
def third_party_apps_default_dc_modules_and_settings(klass):
"""
Decorator for DefaultDcSettingsSerializer class.
Updates modules and settings fields defined in installed third party apps.
"""
logger.info('Loading third party apps DEFAULT DC modules and settings.')
for third_party_app, app_dc_... | 59be03a271e60352b429d45ecff647100388f9ab | 3,642,173 |
from typing import Union
from pathlib import Path
def split_lvis(
n_experiences: int,
train_transform=None,
eval_transform=None,
shuffle=True,
root_path: Union[str, Path] = None,
):
"""
Creates the example Split LVIS benchmark.
This is a toy benchmark created only to show how a detect... | efece586ec6bfbc45911ed9f4f2ad5ead2cfd88b | 3,642,174 |
def compute_log_ksi_normalized(log_edge_pot, #'(t-1,t)',
log_node_pot, # '(t, label)',
T,
n_labels,
log_alpha,
log_beta,
temp_array_1,
temp_array_2):
""" to obtain the two-slice posteri... | e4e6ea464851ba64d640e14fd7c88e9c52f28f50 | 3,642,175 |
from typing import Any
from typing import Type
def _deserialize_union(x: Any, field_type: Type) -> Any:
"""Deserialize values for Union typed fields
Args:
x (Any): value to be deserialized.
field_type (Type): field type.
Returns:
[Any]: desrialized value.
"""
for arg in f... | 01793983a0a82fc16c03adbe57f52de9be5c81ea | 3,642,177 |
def read_simplest_expandable(expparams, config):
"""
Read expandable parameters from config file of the type `param_1`.
Parameters
----------
expparams : dict, dict.keys, set, or alike
The parameter names that should be considered as expandable.
Usually, this is a module subdictiona... | 4e2068e4a6cbca050da6a33a24b5fb0d2477e4e3 | 3,642,178 |
from typing import Callable
from typing import Iterable
from typing import Any
def rec_map_reduce_array_container(
reduce_func: Callable[[Iterable[Any]], Any],
map_func: Callable[[Any], Any],
ary: ArrayOrContainerT) -> "DeviceArray":
"""Perform a map-reduce over array containers recursivel... | 885862371ece1e1f041a44693704300945d8d4a0 | 3,642,179 |
import json
def load_augmentations_config(
placeholder_params: dict, path_to_config: str = "configs/augmentations.json"
) -> dict:
"""Load the json config with params of all transforms
Args:
placeholder_params (dict): dict with values of placeholders
path_to_config (str): path to the json ... | 49f3170033411418e7e5468aecdcdc612a677e66 | 3,642,181 |
import numpy
def simplify_mask(mask, r_ids, r_p_zip, replace=True):
"""Simplify the mask by replacing all `region_ids` with their `root_parent_id`
The `region_ids` and `parent_ids` are paired from which a tree is inferred. The root
of this tree is value `0`. `region_ids` that have a corresponding `p... | b8344a893319ad7a26f931b2edbc6ef452b82c24 | 3,642,182 |
def getStops(ll):
"""
getStops
Returns a list of stops based off of a lat long pair
:param: ll { lat : float, lng : float }
:return: list
"""
if not ll:
return None
url = "%sstops?appID=%s&ll=%s,%s" % (BASE_URI, APP_ID, ll['lat'], ll['lng'])
try:
f = u... | eedfc49a02ab6c2ccf45e241262236804007a156 | 3,642,183 |
import warnings
import six
def rws(log_joint, observed, latent, axis=None):
"""
Implements Reweighted Wake-sleep from (Bornschein, 2015). This works for
both continuous and discrete latent `StochasticTensor` s.
:param log_joint: A function that accepts a dictionary argument of
``(string, Tens... | eb6278919dd484884b3110681680e67d3ee17d2f | 3,642,184 |
def fit_svr(X, y, kernel: str = 'rbf') -> LinearSVR:
"""
Fit support vector regression for the given input X and expected labes y.
:param X: Feature data
:param y: Labels that should be correctly computed
:param kernel: type of kernel used by the SVR {‘linear’, ‘poly’, ‘rbf’, ‘sigmoid’, ‘precomputed... | 10a38fca990c4ab058d582fbe38bd05df7456660 | 3,642,185 |
import typing
def process_get_namespaces_from_accounts(
status: int,
json: list,
network_type: models.NetworkType,
) -> typing.Sequence[models.NamespaceInfo]:
"""
Process the "/account/namespaces" HTTP response.
:param status: Status code for HTTP response.
:param json: JSON data for resp... | 748bdca72db0640e75f8a0c063f7968ea9583e94 | 3,642,186 |
def _hexsplit(string):
""" Split a hex string into 8-bit/2-hex-character groupings separated by spaces"""
return ' '.join([string[i:i+2] for i in range(0, len(string), 2)]) | 672e475edeaafaa08254845e620b0a771b294fa8 | 3,642,188 |
def get_analysis_id(analysis_id):
"""
Get the new analysis id
:param analysis_id: analysis_index DataFrame
:return: new analysis_id
"""
if analysis_id.size == 0:
analysis_id = 0
else:
analysis_id = np.nanmax(analysis_id.values) + 1
return int(analysis_id) | 3318764daadca6c1e1921847f623fcac169e2cb5 | 3,642,189 |
from typing import Union
def get_station_pqr(station_name: str, rcu_mode: Union[str, int], db):
"""
Get PQR coordinates for the relevant subset of antennas in a station.
Args:
station_name: Station name, e.g. 'DE603LBA' or 'DE603'
rcu_mode: RCU mode (0 - 6, can be string)
db: inst... | d796639866421876bc58a7621d37bbe7239da6df | 3,642,190 |
from typing import List
def hello_world(cities: List[str] = ["Berlin", "Paris"]) -> bool:
"""
Hello world function.
Arguments:
- cities: List of cities in which 'hello world' is posted.
Return:
- success: Whether or not function completed successfully.
"""
try:
[print("Hello... | a24f0f47c9b44c97f46524d354fff0ed9a735fe3 | 3,642,191 |
import random
def random_samples(traj_obs, expert, num_sample):
"""Randomly sample a subset of states to collect expert feedback.
Args:
traj_obs: observations from a list of trajectories.
expert: an expert policy.
num_sample: the number of samples to collect.
Returns:
new expert data.
"""
... | 55aa4312c095ce97b8cf2840ff9ca61e393dff63 | 3,642,193 |
def get_p2_vector(img):
"""
Returns a p2 vector.
We calculate the p2 vector by taking the radial mean of
the autocorrelation of the input image.
"""
radvars = []
dimX = img.shape[0]
dimY = img.shape[1]
fftimage = np.fft.fft2(img)
final_image = np.fft.ifft2(fftimage*np.conj(fftim... | 7544751bf268d6eea432e21efe3d3a7703b16c1b | 3,642,195 |
def multiplex(n, q, **kwargs):
""" Convert one queue into several equivalent Queues
>>> q1, q2, q3 = multiplex(3, in_q)
"""
out_queues = [Queue(**kwargs) for i in range(n)]
def f():
while True:
x = q.get()
for out_q in out_queues:
out_q.put(x)
t... | 4de6fa4fd495c2b320c4cdf28aa56df4411b7aa9 | 3,642,197 |
def stack(arrays, axis=0):
"""
Join a sequence of arrays along a new axis.
The `axis` parameter specifies the index of the new axis in the dimensions
of the result. For example, if ``axis=0`` it will be the first dimension
and if ``axis=-1`` it will be the last dimension.
.. versionadded:: 1.1... | ba8a2b514c32a1dc7a15215e5e26a90f2ace9a26 | 3,642,198 |
def verifica_cc(numero):
"""verifica_cc(numero): int -> tuple
Funcao que verifica o numero do cartao, indicando a categoria e a rede emissora"""
numero_final = str(numero)
if luhn_verifica(numero_final) == True:
categor = categoria(numero_final)
rede_cartao = valida_iin(numero_final)
... | f6d3501b8154c05058006575f8aa33c228b9ade6 | 3,642,200 |
def create_security_group(stack, name, rules=()):
"""Add EC2 Security Group Resource."""
ingress_rules = []
for rule in rules:
ingress_rules.append(
SecurityGroupRule(
"{0}".format(rule['name']),
CidrIp=rule['cidr'],
FromPort=rule['from_por... | e4d2b81fc1c3b0b3231725aa8757ea644d2efdf6 | 3,642,201 |
from typing import List
import tqdm
def features_targets_and_externals(
df: pd.DataFrame,
region_ordering: List[str],
id_col: str,
time_col: str,
time_encoder: OneHotEncoder,
weather: Weather_container,
time_interval: str,
latitude: str,
longitude: str,
):
"""
Function that... | c9fc9fc210407ec596facda1bc43952ce9c6b98a | 3,642,202 |
def transform_child_joint_frame_to_parent_inertial_frame(child_body):
"""Return the homogeneous transform from the child joint frame to the parent inertial frame."""
parent_joint = child_body.parent_joint
parent = child_body.parent_body
if parent_joint is not None and parent.inertial is not None:
... | 0ab8761ef40101368fb3f2b657c329cd8cf5cf2b | 3,642,204 |
def team_to_repos(api, no_repos, organization):
"""Create a team_to_repos mapping for use in _add_repos_to_teams, anc create
each team and repo. Return the team_to_repos mapping.
"""
num_teams = 10
# arrange
team_names = ["team-{}".format(i) for i in range(num_teams)]
repo_names = ["some-rep... | 390da146c3f96c554f9194f8551a066eec535533 | 3,642,205 |
def box_minus(plus_transform: pin.SE3, minus_transform: pin.SE3) -> np.ndarray:
"""
Compute the box minus between two transforms:
.. math::
T_1 \\boxminus T_2 = \\log(T_1 \\cdot T_2^{-1})
This operator allows us to think about orientation "differences" as
similarly as possible to position... | 838f5e8b4f91450c311c72d4526e4c8fd3c9d6f7 | 3,642,206 |
import struct
def padandsplit(message):
"""
returns a two-dimensional array X[i][j] of 32-bit integers, where j ranges
from 0 to 16.
First pads the message to length in bytes is congruent to 56 (mod 64),
by first adding a byte 0x80, and then padding with 0x00 bytes until the
message length is ... | ea06a3fc91e19ed0dbea6ddcc2ee6d554fb5a40f | 3,642,207 |
import requests
def base_put(url_path, content):
"""
Do a PUT to the REST API
"""
response = requests.put(url=settings.URL_API + url_path, json=content)
return response | dde94c1dba0d8a931a0eae0e8f5ce63d1f5a62a1 | 3,642,208 |
def inverse_rotation(theta: float) -> np.ndarray:
"""
Compute inverse of the 2d rotation matrix that rotates a
given vector by theta without use of numpy.linalg.inv and numpy.linalg.solve.
Arguments:
theta: rotation angle
Return:
Inverse of the rotation matrix
"""
rotation_matri... | 732183f7577969a1ecbbd0ee5ed86342c65991fc | 3,642,209 |
import functools
def _config_validation_decorator(func):
"""A decorator used to easily run validations on configs loaded into dicts.
Add this decorator to any method that returns the config as a dict.
Raises:
ValueError: If the configuration fails validation
"""
@functools.wraps(func)
... | 1a63254e43c2920d6952105d9860138c395cbf2b | 3,642,210 |
import functools
def image_transpose_exif(im):
"""
https://stackoverflow.com/questions/4228530/pil-thumbnail-is-rotating-my-image
Apply Image.transpose to ensure 0th row of pixels is at the visual
top of the image, and 0th column is the visual left-hand side.
Return the original image if unable to... | 4f166ea59c097e4306bd43db7165e56e8d289b6a | 3,642,211 |
def opt_pore_diameter(elements, coordinates, bounds=None, com=None, **kwargs):
"""Return optimised pore diameter and it's COM."""
args = elements, coordinates
if com is not None:
pass
else:
com = center_of_mass(elements, coordinates)
if bounds is None:
pore_r = pore_diameter(... | f75a7c4246bc2ad096de309795d61afea78f7c3e | 3,642,213 |
def animate_operators(operators, date):
"""Main."""
results = []
failures = []
length = len(operators)
count = 1
for i in operators:
try:
i = i.encode('utf-8')
except:
i = unicode(i, 'utf-8')
i = i.encode('utf-8')
print(i, count, "/",... | d8dd6afdd4a13ab62a4c821bb43050af07fdc455 | 3,642,214 |
def add_stocks(letter, page, get_last_page=False):
"""
goes through each row in table and adds to df if it is a stock
returns the appended df
"""
df = pd.DataFrame()
res = req.get(BASE_LINK.format(letter, page))
soup = bs(res.content, 'lxml')
table = soup.find('table', {'id': 'Companyli... | ce86ef68a107fbae8d0028486bef8567dc24c43e | 3,642,217 |
def available_parent_amount_rule(model, pr):
"""
Each parent has a limited resource budget; it cannot allocate more than that.
:param ConcreteModel model:
:param int pr: parent resource
:return: boolean indicating whether pr is staying within budget
"""
if model.parent_possible_allocations[... | e1ccc7e9ad4941bfffebefd34217cd58c5bc18e5 | 3,642,218 |
def extract_coords(filename):
"""Extract J2000 coordinates from filename or filepath
Parameters
----------
filename : str
name or path of file
Returns
-------
str
J2000 coordinates
"""
# in case path is entered as argument
filename = filename.split("/")[-1] if ... | 57f0ca79223116caa770a1dbea2eda84df146855 | 3,642,219 |
def exponential(mantissa, base, power, left, right):
"""Return the exponential signal.
The signal's value will be `mantissa * base ^ (power * time)`.
Parameters:
mantissa: The mantissa, i.e. the scale of the signal
base: The exponential base
power: The exponential power
left: Left bound of... | a2fbd76b6426f600d19eb9caeb4edac88dea9a9c | 3,642,220 |
def get_features(features, featurestore=None, featuregroups_version_dict={}, join_key=None, online=False):
"""
Gets a list of features (columns) from the featurestore. If no featuregroup is specified it will query hopsworks
metastore to find where the features are stored. It will try to construct the query ... | 03cfc250bd921b291ac38fce5beddac3144e65ba | 3,642,221 |
def get_flex_bounds(x, samples, nsig=1):
"""
Here, we wish to report the distribution of the subchunks 'sample'
along with the value of the full sample 'x'
So this function will return x, x_lower_bound, x_upper_bound,
where the range of the lower and upper bound expresses
the standard deviation ... | 0fb4120307f61aafce902e92a32c66fd9aad91bf | 3,642,222 |
def _parse_multi_header(headers):
"""
Parse out and return the data necessary for generating ZipkinAttrs.
Returns a dict with the following keys:
'trace_id': str or None
'span_id': str or None
'parent_span_id': str or None
'sampled_str': ... | 2ac3d0cbee196385e970bcc85827c1a467b5bb3b | 3,642,223 |
import numpy
def get_tgimg(img):
"""
处理提示图片，提取提示字符
:param img: 提示图片
:type img:
:return: 返回原图描边，提示图片按顺序用不同颜色框,字符特征图片列表
:rtype: img 原图, out 特征图片列表（每个字）, templets 角度变换后的图
"""
imgBW = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
h, w = imgBW.shape
_, imgBW = cv2.threshold(imgBW, 0, 255,
... | 5f48e2b639dd3027e6463b1a99a8b7c13c043f88 | 3,642,224 |
def brand_profitsharing_order_query(self, transaction_id, out_order_no, sub_mchid):
"""查询连锁品牌分账结果
:param transaction_id: 微信支付订单号，示例值：'4208450740201411110007820472'
:param out_order_no: 商户分账单号，只能是数字、大小写字母_-|*@，示例值：'P20150806125346'
:param sub_mchid: 子商户的商户号，由微信支付生成并下发。示例值：'1900000109'
"""
if sub_... | cb1af072f2b4f94f632817baff6cdfea66110873 | 3,642,225 |
def get_controller_from_module(module, cname):
"""
Extract classes that inherit from BaseController
"""
if hasattr(module, '__controller__'):
controller_classname = module.__controller__
else:
controller_classname = cname[0].upper() + cname[1:].lower() + 'Controller'
controller_c... | b450105f6ec38a03fe461c5d9c07c4652da0efd3 | 3,642,226 |
def exp(d: D) -> NumDict:
"""Compute the base-e exponential of d."""
return d.exp() | a4d5baf6bdfadb48add80096bb4d167f01572b69 | 3,642,227 |
def Main(operation, args):
"""Supports 2 operations
1. Consulting the existing data (get)
> get ["{address}"]
2. Inserting data about someone else (certify)
> certify ["{address}","{hash}"]
"""
if len(args) == 0:
Log('You need to provide at least 1 parameter - [address]')... | 0dac2ddb4dc3d259e30f5a3c100a39ff8d7b940d | 3,642,228 |
def get_latest_file_list_orig1(input_list, start_time, num_files):
"""
Return a list of file names, trying to get one from each index file in input_list.
The starting time is start_time and the number of days to investigate is num_days.
"""
out = []
for rind in input_list:
# Create time... | 744b5392d136129a1135cea3ad577817798ef582 | 3,642,229 |
def get_ogheader(blob, url=None):
"""extract Open Graph markup into a dict
The OG header section is delimited by a line of only `---`.
Note that the page title is not provided as Open Graph metadata if
the image metadata is not specified.
"""
found = False
ogheader = dict()
for line in... | 4edd7c5545ddef241ee2bfd5e316e47a336aaa3f | 3,642,230 |
def list_ingredient():
"""List all ingredients currently in the database"""
ingredients = IngredientCollection()
ingredients.load_all()
return jsonify(ingredients=[x.to_dict() for x in ingredients.models]) | d3275dba18922b9f4558f23eedda3ae25d8a25d9 | 3,642,231 |
import re
def ParseSavedQueries(cnxn, post_data, project_service, prefix=''):
"""Parse form data for the Saved Queries part of an admin form."""
saved_queries = []
for i in xrange(1, MAX_QUERIES + 1):
if ('%ssavedquery_name_%s' % (prefix, i)) not in post_data:
continue # skip any entries that are bla... | 5db4ecdf22eb61c1c43914f00042862142664590 | 3,642,232 |
def label_anchors(anchors, anchor_is_untruncated, gt_classes, gt_bboxes, background_id, iou_low_threshold=0.41, iou_high_threshold=0.61):
""" Get the labels of the anchors. Each anchor can be labeled as positive (1), negative (0) or ambiguous (-1). Truncated anchors are always labeled as ambiguous. """
n = anch... | 39dc4d29f5a2491c2f818e7af2c01e1824afff56 | 3,642,233 |
import hashlib
def make_hash_md5(obj):
"""make_hash_md5
Args:
obj (any): anything that can be hashed.
Returns:
hash (str): hash from object.
"""
hasher = hashlib.md5()
hasher.update(repr(make_hashable(obj)).encode())
return hasher.hexdigest() | c8c0f0202f171e2557eba6a3824ac2f9a07dada9 | 3,642,234 |
def fbx_data_bindpose_element(root, me_obj, me, scene_data, arm_obj=None, mat_world_arm=None, bones=[]):
"""
Helper, since bindpose are used by both meshes shape keys and armature bones...
"""
if arm_obj is None:
arm_obj = me_obj
# We assume bind pose for our bones are their "Editmode" pose.... | 9d205cd3c7a0242dbfaad42d1e7f0b9b3b81eb75 | 3,642,235 |
def partitioned_rml_estimator(y, sigma2i, iterations=50):
"""
Implementation of the robust maximum likelihood estimator.
Parameters
----------
y : :py:class:`~numpy.ndarray`, (n_replicates, n_variants)
The variant scores matrix
sigma2i : :py:class:`~numpy.ndarray`, (n_replicates, n_vari... | b4ec6ad8af85cdf29470fa132d7f6008617b3a66 | 3,642,236 |
import math
def inv_kinema_cal_3(JOINT_ANGLE_OFFSET, L, H, position_to_move):
"""逆運動学を解析的に解く関数.
指先のなす角がηになるようなジョイント角度拘束条件を追加して逆運動学問題を解析的に解く
引数1：リンク長さの配列．nd.array(6)．単位は[m]
引数2：リンク高さの配列．nd.array(1)．単位は[m]
引数3：目標位置（直交座標系）行列．nd.array((3, 1))．単位は[m]
戻り値（成功したとき）：ジョイント角度配列．nd.array((6))．単位は[°]
... | 4368c847b9918f3682e2ca0336008af49f0823cf | 3,642,237 |
from django.contrib.auth import authenticate, login
def http_basic_auth(func):
"""
Attempts to login user with u/p provided in HTTP_AUTHORIZATION header.
If successful, returns the view, otherwise returns a 401.
If PING_BASIC_AUTH is False, then just return the view function
Modified code by... | fd99ce1464acb88bd9f68b6b85233dd44cb81bfd | 3,642,241 |
def stats_to_df(stats_data):
""" Transform Statistical API response into a pandas.DataFrame
"""
df_data = []
for single_data in stats_data['data']:
df_entry = {}
is_valid_entry = True
df_entry['interval_from'] = parse_time(
single_data['interval']['from']).date()
... | d77d3ee46c68c737ce8274458d8564256f8121a7 | 3,642,242 |
def make_risk_metrics(
stocks,
weights,
start_date,
end_date
):
"""
Parameters:
stocks: List of tickers compatiable with the yfinance module
weights: List of weights, probably going to be evenly distributed
"""
if mlfinlabExists:
Var, VaR, CVaR, CD... | 8a24d542a8b7475a66c0c914866ee4225564b8ed | 3,642,243 |
def decrypt(bin_k, bin_cipher):
"""decrypt w/ DES"""
return Crypto.Cipher.DES.new(bin_k).decrypt(bin_cipher) | fa8331b792ae4003c2fc14fd84b2ac82306bc7b2 | 3,642,244 |
from ucscsdk.mometa.vnic.VnicIScsiLCP import VnicIScsiLCP
from ucscsdk.mometa.vnic.VnicVlan import VnicVlan
def lcp_iscsi_vnic_add(handle, name, parent_dn, addr="derived",
admin_host_port="ANY",
admin_vcon="any", stats_policy_name="global-default",
... | 6d87f8f3adebaa56850dfb14137fe049ff6e01ee | 3,642,246 |
def fixture_ecomax_with_data(ecomax: EcoMAX) -> EcoMAX:
"""Return ecoMAX instance with test data."""
ecomax.product = ProductInfo(model="test_model")
ecomax.set_data(_test_data)
ecomax.set_parameters(_test_parameters)
return ecomax | 4f496342d461eb39e4689ed266471b11bdf3f1f5 | 3,642,247 |
async def request_get_stub(url: str, stub_for: str, status_code: int = 200):
"""Returns an object with stub response.
Args:
url (str): A request URL.
stub_for (str): Type of stub required.
Returns:
StubResponse: A StubResponse object.
"""
return StubResponse(stub_for=stub_f... | f4c4f9a0610e8d95f920ddee76c4264e23c08283 | 3,642,249 |
import torch
def single_gpu_test(model, data_loader, rescale=True, show=False, out_dir=None):
"""Test with single GPU.
Args:
model (nn.Module): Model to be tested.
data_loader (nn.Dataloader): Pytorch data loader.
show (bool): Whether show results during infernece. Default: False.
... | 0e548186e5909b1a7b72d6fd6ed16c80e233e0b6 | 3,642,250 |
def readAllCarts():
"""
This function responds to a request for /api/people
with the complete lists of people
:return: json string of list of people
"""
# Create the list of people from our data
return[CART[key] for key in sorted(CART.keys())] | 7ec9b25b36c238a6bfae3963482d610ed09d1d75 | 3,642,251 |
import random
import logging
def build_encapsulated_packet(select_test_interface, ptfadapter, tor, tunnel_traffic_monitor):
"""Build the encapsulated packet sent from T1 to ToR."""
_, server_ipv4 = select_test_interface
config_facts = tor.get_running_config_facts()
try:
peer_ipv4_address = [_[... | e7776a602eeb0dbe9bcd8707b71dacfe4ac36338 | 3,642,252 |
def index():
"""
Renders the index page.
"""
return render_template("index.html") | cc7630c3bbaf32c3be705a7205df715f959a5683 | 3,642,253 |
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