content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def _real_freq_filter(rfft_signal, filters):
"""Helper function to apply a full filterbank to a rfft signal
"""
nr = rfft_signal.shape[0]
subbands = filters[:, :nr] * rfft_signal
return subbands | 0bee4822ac1d6b5672e4ad89bb59f03d72828244 | 3,614,800 |
def _strip_extension(name, ext):
"""
Remove trailing extension from name.
"""
ext_len = len(ext)
if name[-ext_len:] == ext:
name = name[:-ext_len]
return name | aa1e6f8c68e09597e2566ecd96c70d2c748ac600 | 3,614,801 |
def node_clique_number(G,nodes=None,cliques=None):
""" Returns the size of the largest maximal clique containing
each given node.
Returns a single or list depending on input nodes.
Optional list of cliques can be input if already computed.
"""
if cliques is None:
if nodes is not None:
... | 143fa46b1bd7365bc306489e77d697d5741701a4 | 3,614,802 |
def str_to_list(s):
# type: (str) -> List[str]
"""Convert string to list."""
if isinstance(s, str):
return s.split(',')
return s | bdc59bfcfadf815ecce5adc599fbca98f9924fe6 | 3,614,803 |
import torch
def get_online_seed_from_cam_sal_seg(cam: torch.Tensor, sal: torch.Tensor,
seg_prob: torch.Tensor, cls_in_label: torch.Tensor,
cam_thresh: float, sal_thresh: float, ignore_label: int) -> torch.Tensor:
"""Get online seed from CA... | 96fd29570fef0fb352c8b32a4ac5d3bf49ae4dbe | 3,614,804 |
import inspect
def check_parameter(**kwargs):
"""Check dtype of the function's parameters.
Parameters
----------
kwargs : Type or Tuple[Type]
Map of each parameter with its expected dtype.
Returns
-------
_ : bool
Assert if the array is well formatted.
"""
# get ... | 597c205c091b207f529fd961cd808c5a99285b4f | 3,614,805 |
def part1(data):
"""
>>> part1(read_input())
192
"""
return sum(is_valid(passport) for passport in data) | cd68c276151b540d2bb02aaca0f7eb039addc79d | 3,614,806 |
def minimize(func, x0, args=(), *, method, tol=None, options=None):
"""Minimization of scalar function of one or more variables.
This API for this function matches SciPy with some minor deviations:
- Gradients of ``fun`` are calculated automatically using MindSpore's autodiff
support when required.
... | d0affb1dc4bbe141504528fba55baf8a2fa29ae9 | 3,614,807 |
from mxnet.gluon.model_zoo.vision import get_model
def get_network(name, batch_size):
"""Get the symbol definition and random weight of a network"""
dtype = 'float32'
input_shape = (batch_size, 3, 224, 224)
output_shape = (batch_size, 1000)
if "resnet" in name:
n_layer = int(name.split("-... | 1d874b32c7421f189a4cd47259875d02ba524eb1 | 3,614,808 |
from typing import Callable
from typing import Dict
def web_template() -> Callable[[Request, str], _TemplateResponse]:
"""Create a dependency which may be injected into a FastAPI app."""
def _template(request: Request, page: str, context: Dict = {}) -> _TemplateResponse:
"""Create a template from a r... | 39e5b04dcbc586670b7a165444976e1beac178aa | 3,614,809 |
def core_number(G):
"""Returns the core number for each vertex.
A k-core is a maximal subgraph that contains nodes of degree k or more.
The core number of a node is the largest value k of a k-core containing
that node.
Parameters
----------
G : NetworkX graph
A graph or directed gr... | 74e9852cac0e7ad321090e4959b1b6f88d8a55b7 | 3,614,810 |
def create_meeting(
client,
name: str,
description: str = None,
title: str = None,
duration: int = 60000, # duration in mins ~6 weeks
):
"""Create a Zoom Meeting."""
body = {
"topic": title if title else f"Situation Room for {name}",
"agenda": description if description else... | a5157575a8921a612a09dc6cf9038f0c45513cd4 | 3,614,811 |
def hours(datetime):
"""
Returns the hours component for the given datetime value, in local time.
"""
return datetime.hour() | a88d932b49ded87e472cf902e39a1ca3c3e4ac2b | 3,614,812 |
from typing import List
from typing import Tuple
import os
def create_work_packages(
inputs: List[Tuple[str, bool]],
work_package_size: int,
number_of_workers: int,
already_processed: List[str] = []
) -> Tuple[List[List[str]], List[str]]:
"""Create the work packages for the worker ... | fce778f27488ecbfb3df18f7d88c39901f32d113 | 3,614,813 |
def compute_checksum(filename):
"""Computes the MD5 checksum of the contents of a file.
filename: string
"""
cmd = 'md5sum ' + filename
return pipe(cmd) | b6fc037ac42c0f86bf196ff6f93fe7cb94bf45ea | 3,614,814 |
def clean_text(
raw_text,
fix_unicode=True,
to_ascii=False,
lower=True,
no_line_breaks=True,
no_urls=True,
no_emails=True,
no_phone_numbers=True,
no_numbers=False,
no_digits=False,
no_currency_symbols=True,
no_punct=False,
... | d63d0c4eff28de4677c12e080a37d6f40309a395 | 3,614,815 |
def _get_s3_provider():
"""
Gets S3 Config Provider
:return: Instance of S3ConfigProvider
:rtype: S3ConfigProvider
"""
return S3ConfigProvider(
bucket=CONFIG_PROVIDERS['s3']['bucket'],
config_base=CONFIG_PROVIDERS['s3']['base']
) | 2192daa02b57a58267d34662294886aeb8f8bc1b | 3,614,816 |
import os
import tempfile
import json
def compile_html(
input_path,
html_path=None,
*,
props=None,
precision=None,
title=None,
div_id=None,
inline_js=None,
svelte_to_js=None,
js_path=None,
js_name=None,
js_lint=None
):
"""Compile Svelte or JavaScript to HTML.
A... | 36f8e9d9f4f92198ed7fffb0c36aed05a146e2f4 | 3,614,817 |
def is_path_fully_cached(path):
"""Returns true if all the bytes of the path are cached, false otherwise"""
rc, stdout, stderr = exec_process("hdfs cacheadmin -listDirectives -stats -path %s" % path)
assert rc == 0
caching_stats = stdout.strip("\n").split("\n")[-1].split()
# Compare BYTES_NEEDED and BYTES_CAC... | 2bcf4258b52d9e8f739ff5523f6b036d42013c4f | 3,614,818 |
def find_camera_tracking_pts_topics():
"""
Returns list of all tracking_pts topics associated with a camera
"""
topic_list = find_topics_w_ending('tracking_pts')
topic_list = [topic for topic in topic_list if 'camera' in topic.split('/')]
return topic_list | afd3de49187bdec69deab0418ea3bcc3c627f8e2 | 3,614,819 |
def get_batch_size(dataset: tf.data.Dataset,
optimization_batch_size: int = BATCH_AUTO_TUNE) -> int:
"""Computes optimization batch size for processing steps in batches.
Args:
dataset: episodes or steps dataset.
optimization_batch_size: user-provided hint for the batch size.
Returns:
... | f437e6403031f879ffe3047bb008732cba4a5497 | 3,614,820 |
def get_uuid_from_url(url: str) -> str:
""" Strip the URL from the string. Returns the UUID. """
return url.split('/')[-1] | d9e0ea9ed186d1ba19c40ead9d08108c45dbf850 | 3,614,821 |
def texFrac(frac):
""" Tex render for Fractions"""
return ["\\frac{" , str(frac._num) , "}{" , str(frac._denom) , "}"] | fd0ed6af8b50f8a4b89e0d83d7cb3e3c3a5f3a90 | 3,614,822 |
import os
import shutil
def build_plot_video(results, unique_id, json_data_dict):
"""Builds and writes a combined video of the plot of the knee angle and the angle video
Args:
results: dictionary of the downloaded files {'file_name': file}
unique_id: the uuid that was given to the video
... | 646cf48ae37facc9a2226317696cd61d2bb111df | 3,614,823 |
def repeated_hindsight_gumbel_estimation(
universe, probabilities, values, num_samples, normalize, repetitions):
"""Uses Hindsight Gumbel Estimation multiple times with different Gumbels."""
# Use the same samples for each repetition!
results = ppswor_samples(universe, probabilities, num_samples)
all_sampl... | 6f6ad6e712d87350e34b397010eb0be86095ec9c | 3,614,824 |
def get_progress_string(tag, epoch, minibatch, nbatches, cost, time,
blockchar=u'\u2588'):
"""
Generate a progress bar string.
Arguments:
tag (string): Label to print before the bar (i.e. Train, Valid, Test )
epoch (int): current epoch to display
minibatch (i... | 23d7b5dfcc2fd11841a87a3c94f3e8f4d9840a36 | 3,614,825 |
def calcRingCentroidNormal(atomCoords):
""" extract aromatic ring geometric info from a numpy array """
a1 = atomCoords[0]
a2 = atomCoords[1]
a3 = atomCoords[2]
centroid = averageCoords(atomCoords)
plane = calcPlane(a1, a2, a3)
v1 = vector(centroid, a1)
v2 = vector(centroid, a2)
nor... | 1c1719ef1bfe1564e6fbbe16c14507b9daf6149e | 3,614,826 |
import copy
def flip_horizontal(original: Image) -> Image:
"""Written by: Cameron Legree
Student No. 101153496
Returns a copy of an image flipped along a horiontal line centered in the
image. orginal_image must be loaded prior to passing it through the
function.
>>>flip_horizontal(miss_sull... | 143a839c789ad26f5d7174bf25902b85936a4e13 | 3,614,827 |
from typing import List
from typing import Optional
def span_to_label(tokens: List[str],
labeled_spans: dict,
scheme: Optional[str] = 'BIO') -> List[str]:
"""
Convert spans to label
:param tokens: a list of tokens
:param labeled_spans: a list of tuples (start_idx, e... | dbd572d4c306f31202c93b5983f5dd4cdd237074 | 3,614,828 |
def expand_markup(abbr: str, config: Config) -> str:
"""
Expands given *markup* abbreviation (e.g. regular Emmet abbreviation that
produces structured output like HTML) and outputs it according to options
provided in config
"""
return stringify_markup(markup_abbreviation(abbr, config), config) | 2af46f12fcecb0bedcc01b94aeb2b92dc51e3a7c | 3,614,829 |
import argparse
import os
def build_args():
"""
Constructs command line arguments for the vulndb tool
"""
parser = argparse.ArgumentParser(
description="Fully open-source security audit for project dependencies based on known vulnerabilities and advisories."
)
parser.add_argument(
... | ee24006780a225803cd503fb612264d49e37c7b2 | 3,614,830 |
def withinStdDevRange(a, b):
"""Returns the percent of samples within the std deviation range a, b"""
if b < a:
return 0;
if a < 0:
if b < 0:
return (withinStdDev(-a) - withinStdDev(-b)) / 2;
else:
return (withinStdDev(-a) + withinStdDev(b)) / 2;
else:
return (withinStdDev(b) - with... | 27b293805656b7e33af9843bab48b25ecfa98d47 | 3,614,831 |
import logging
import requests
def commit_email():
"""Receive web hook from github and generate email."""
# Only look at push events. Ignore the rest.
event = flask.request.headers['x-github-event']
logging.info('Received "{0}" event from github.'.format(event))
if event != 'push':
loggin... | 36e97fe8a52094c6d9274c58aa9dd69b10106573 | 3,614,832 |
def unimodal_converter(data):
"""
Returns ground truth labels when data is split modally to text and image
data: dataframe object
"""
for column in ["string", "numeric"]:
unimodal_image, unimodal_text = [], []
for i in range(len(data)):
temp_val = data.loc... | 623208e7b8ee9e4f1e494c95d7ec0c16558f85b9 | 3,614,833 |
def convert_ids_to_tokens(inv_vocab, ids):
"""Converts a sequence of ids into tokens using the vocab."""
output = []
for item in ids:
output.append(inv_vocab[item])
return output | da1aa84d271fe46cedf530c2871ee54c57e676e2 | 3,614,834 |
import os
def get_app_template_dirs(dirname, app_label=None, model_name=None):
"""
Return an iterable of paths of directories to load app templates from.
dirname is the name of the subdirectory containing templates inside
installed applications.
Derived from django.template.utils.get_app_templat... | 23e23cdf242b11e62d6f41106f529903e735a0f7 | 3,614,835 |
import aiohttp
async def remove_device(
ws_client: aiohttp.ClientWebSocketResponse, device_id: str, config_entry_id: str
) -> bool:
"""Remove config entry from a device."""
await ws_client.send_json(
{
"id": 1,
"type": "config/device_registry/remove_config_entry",
... | 095926990c48a5f61267eb059591a80c48f7e3eb | 3,614,836 |
def build_senator_details(details):
"""Build the test data for a senator."""
data = build_us_details(details)
data['terms'][-1]['state_rank'] = details[5]
data['terms'][-1]['class'] = details[6]
data['terms'][-1]['url'] = details[7]
data['terms'][-1]['phone'] = details[8]
return data | d1a12b12d48d1b05e0be343eaf0c4eb3a1d295bf | 3,614,837 |
import array
def normalize(y: ndarray, max_value: float) -> ndarray:
"""
Performs normalization of given values
:param y: ndarray - numpy array of histogram values derived from TCSPC method
:param max_value: float - maximal value in given data
:return: ndarray - numpy array of normalized histogram... | d70ee12a6aefc49d53da265ab1d0cc120e392cec | 3,614,838 |
import logging
import pickle
import time
def load_obj(path):
"""
return the python object saved in the given path
:param path: the path to be loaded
:return:
"""
logger = logging.getLogger("load_obj")
retry_count = 3
while retry_count > 0:
try:
with open(path, 'rb'... | d486846bdf284366a89a48e7d7ad0f86239b9f83 | 3,614,839 |
def xgboost_data_preparation(validation_list: list, dataframe: pd.DataFrame, target: np.array, key: str):
""" xgboost data preparing for training
The function transforms the data from a Pandas dataframe format to a xgboost-compatible format.
:param list validation_list: The list that contains the data the... | 8e88c4dc146e5a8e97ac8464411004115de3b80c | 3,614,840 |
import argparse
import os
import sys
import yaml
def get_config_file():
"""
Get config file.
:return: config file for training or testing
"""
parser = argparse.ArgumentParser(
description="parse key pairs into a dictionary for xt training or testing",
usage="python train.py --conf... | e457ac526d5594adb552ae0c6c9d3b67459d31dd | 3,614,841 |
def _url(url, params):
"""
Returns long url with parameters
http://mydomain.com?param1=...¶m2=...
"""
if params is not None and len(params) > 0:
return url + "?" + urlencode(params)
else:
return url | 7b13652682db17f61546834965cb00d3804688da | 3,614,842 |
def UniProt_NCBI_TaxID_and_TaxName_for_autocomplete_UPS_FIN(fn_in, fn_out):
"""
e.g. of input file
UP000464341 1408252 None bacteria 270 0 270 Escherichia coli R178
UP000000558 83334 ECO57 bacteria 5060 4 9234 Escherichia coli O157:H7
priority t... | a5ba2dc54f427ddfd5d521c257dea1dd74e3db43 | 3,614,843 |
def get_port() -> str:
"""Looks for ngrok processID. If found, scans the PID in `netstat` for an `activeListener` to skim the port number.
Notes:
Alternate is to run `echo {root_password} | sudo -S lsof -PiTCP -sTCP:LISTEN | grep ngrok`
Returns:
str:
Local IP address and port numbe... | 2baf2f10fdd5446101020fa5e6a24f29f4d124ef | 3,614,844 |
from typing import Dict
from typing import Union
from typing import List
from typing import Any
from typing import Tuple
def dict_to_aiohttp_tuples(
d: Dict[str, Union[str, int, List[Any]]]
) -> List[Tuple[Any, Any]]:
"""aiohttp doesn't like dictionaries where the values are arrays.
In particular, passin... | dc2f4ad0bff961062d6001096ebb6716aef0864d | 3,614,845 |
def shapeToZip(inShape, outZip=None, allFiles=True):
"""Packs a shapefile to ZIP format.
arguments
-inShape - input shape file
-outZip - output ZIP file (optional)
default: <inShapeName>.zip in same folder as inShape
(If full path not specified, o... | 6ecbad65ee4f6b273b9d52539317e8d28b30be12 | 3,614,846 |
from pylagrit import PyLaGriT
def build_refined_triplane(
dem_raster: Raster,
refinement_feature: Shape,
min_edge_length: float,
max_edge_length: float,
delta: float = 0.75,
slope: float = 2.0,
refine_dist: float = 0.5,
verbose: bool = False,
outfile: str = None,
):
# boundary:... | 9f869fc3f6279feb850b61c7f486ce3e7b37b74e | 3,614,847 |
def image_caption_correct(dataset, images_path):
"""Stream in images from a directory and pre-populate the text box with the
model's predicted caption. The original caption is stored as "orig_caption",
the potentially edited caption as "caption".
"""
encoder, decoder, vocab, transform = load_model()... | f93621d407ab4975754a765743a5bef561ff0df4 | 3,614,848 |
import logging
from typing import Optional
def init_stc(
api: ApiType,
logger: logging.Logger,
install_dir: Optional[str] = None,
rest_server: Optional[str] = None,
rest_port: Optional[int] = 80,
) -> StcApp:
"""Helper function to create STC object.
This helper supports only new sessions.... | a8172dd43ace0f2d57d89baa8ec0fbb1929c8725 | 3,614,849 |
import importlib
def _check_import(package_name):
"""Import a package, or give a useful error message if it's not there."""
try:
return importlib.import_module(package_name)
except ImportError:
err_msg = (
f"{package_name} is not installed. "
"It may be an optional ... | c4cb7c5a49071663d23e9530155bdee3304a5f72 | 3,614,850 |
from skimage.draw import polygon
from skimage.measure import regionprops
import numpy as np
import tqdm
def blobs_to_dict(blobs, img_shape, region_manager):
"""
outputs ground truth in a list of dicts like:
{'0_angle_deg': 196.81771700655054,
'0_major': 63.263008639602724,
'0_minor': 14.997692... | 8376ccfdf587ed3dec02775453d8e804a377773c | 3,614,851 |
import json
def get_tool_shed_repo_requirements(app, tool_shed_url, repositories=None, repo_info_dicts=None):
"""
Contact tool_shed_url for a list of requirements for a repository or a list of repositories.
Returns a list of requirements, where each requirement is a dictionary with name and version as key... | 5492703bf39bfb87c3217ddc1f87b9211566e2cd | 3,614,852 |
import string
def metadata(draw):
"""The "cu102" in "torch==1.8.1+cu102"."""
# https://www.python.org/dev/peps/pep-0440/#local-version-identifiers
alphabet = string.ascii_letters + string.digits + ".-_"
return draw(st.text(alphabet=alphabet, min_size=1)) | 82e33b2c391b08eb1e5f7b4dba55f2226edb0c39 | 3,614,853 |
def getListConfiguration(request, params, visibility, order):
"""Returns the list data for the specified params.
Args:
visibility: determines which list will be used
order: the order the data should be sorted in
"""
key_order, col_names = getKeyOrderAndColNames(params, visibility)
conf_extra = para... | 13bb030a37d37f1c80a7264db6ada39132aac06b | 3,614,854 |
def compute_outcome_stats(df):
"""Compute statistics regarding the relative quanties of arrests, warnings, and citations"""
n_total = len(df)
n_warnings = len(df[df['stop_outcome'] == 'Written Warning'])
n_citations = len(df[df['stop_outcome'] == 'Citation'])
n_arrests = len(df[df['stop_outcome'] ==... | 25dbdfbc15ddd5ac5b112d5fef0eec071bd573ad | 3,614,855 |
def augment_data_sq(x, a, y, Theta):
"""
Augment the dataset so that the x carries an additional feature of theta
Then also attach appropriate weights to each data point.
Theta: Assume uniform grid Theta
"""
n = np.shape(x)[0] # number of original data points
num_theta = len(Theta)
wid... | b7b4186801a5a0eea45c95b6961a49ab833aeedc | 3,614,856 |
def check_day_start(gtfs, desired_weekday):
"""
Assuming a weekly extract, gets the utc of the start of the desired weekday
:param gtfs:
:param day_start:
:param desired_weekday:
:return:
"""
day_start_add = 24 * 3600
day_start, _ = gtfs.get_day_start_ut_span()
tz = gtfs.get_time... | fcaa2969be134f2e17bfa6948eba9f8df47c0666 | 3,614,857 |
import time
def get_picasaweb_date(date_time):
"""Converts a date to PicasaWeb format (string). adjusted for 1/1/1970 or
later (PicasaWeb does not recognize dates before 1/1/1970).
Args:
date_time: the datetime.datetime to convert
Return: the date or 1/1/1970, in PicasaWeb format, whichever... | d6e101eb8729483cb181e626af81c015f8ade7cb | 3,614,858 |
from typing import Any
import click
def confirm(
cfg: Configuration,
msg: str,
force: bool,
default: bool = False,
abort: bool = False,
) -> Any:
"""Wrapped click.confirm function to print to stderr."""
assert cfg.logger is not None
if force:
return force
if cfg.output_fo... | c47ff7893d32614b06d0e1a5bef4fff789c33052 | 3,614,859 |
def dumps_bdd_as_code(
roots,
bdd,
lang='python',
renaming=None):
"""Return code that computes root values from bits.
@param roots: `dict` that maps each "output" bit to
a BDD that depends on "input" bits
@param bdd: BDD manager
@param renaming: `dict` that maps ... | b713cd91b72125e996812d51c363c466b64afd23 | 3,614,860 |
def get_standard_name(uid):
"""
return CF standard name
"""
return dq.inx.uid[uid.vid].sn | 20b59faded81c3975304f2f23e1b47ac7b6d117b | 3,614,861 |
def get_null_reference_cdf(
lowerlimit: np.float32,
upperlimit: np.float32,
numbins: int=1000,
)->ModifiedECDF:
"""
This function will return a CDF to be used as a null reference.
:param lowerlimit: lower bound for the CDF
:param upperlimit: upperbound for the CDF
:p... | 4be8f7305d80fc0f8c8d5f83c187f71f232a12e3 | 3,614,862 |
import getpass
def prompt(identifier) -> tuple:
"""Credential entry helper.
Returns:
Tuple of login_id, key
"""
login_id = input(f"API Login ID for {identifier}: ")
key = getpass.getpass(f"API Transaction Key for {identifier}: ")
return (login_id, key) | be0ed9be1a60c2c29753d6a9ca8b3f12294f183b | 3,614,863 |
def _load_navigation(dataset: xr.Dataset, navigation_files: str):
"""Load navigation data from nmea, gpx or netcdf files.
Returns the dataset with the added navigation data. Data from the navigation file
are interpolated on the dataset time vector.
Parameters
----------
dataset :
Datas... | d021270738b96bcbb0a2811cd48748ad72eb8c5b | 3,614,864 |
import argparse
import pathlib
import logging
from datetime import datetime
def write_to_image():
"""Console script for xdr2img."""
base_parser = BaseArgs(
"xvi2img reads folders, connects these to the underlying XDR files, and writes these to a directory "
" in another medical imaging format.... | 5238cd6166354c311b9671f489ac7f193b174d73 | 3,614,865 |
import requests
import logging
def make_trace_data_requests(
session_: requests.Session, bbox: str, conf: any
) -> list[list[dict]]:
"""
Makes the actual calls to Mapillary API to pull trace data for a given bbox string.
:param session_: requests.Session() to persist session across API calls
:par... | a53c65f24c8f20a51112e2ab8a2679e1f5a15a72 | 3,614,866 |
import torch
def rotation_3d_in_axis(points, angles, axis=0):
"""Rotate points by angles according to axis.
Args:
points (torch.Tensor): Points of shape (N, M, 3).
angles (torch.Tensor): Vector of angles in shape (N,)
axis (int, optional): The axis to be rotated. Defaults to 0.
R... | f9ae51e59e8531e25d376267b16746f5e88575e0 | 3,614,867 |
from typing import List
def load_cabins() -> List[Cabin]:
"""
Load cabins from yaml file
"""
cabins = []
cabin_data = utils.get_cabin_data()
for cabin in cabin_data:
cabins.append(Cabin(cabin["class"], cabin["quality"]))
return cabins | b75695ea66be77ad78e72f4d2ae17d29eda97942 | 3,614,868 |
def get_bod_class_start_quarter_after(term):
"""
Return the datetime object of the beginning of the first instruction
day in the term after the give year and quarter.
Only the summer full term is relevant.
"""
nterm = get_term_after(term)
if nterm is None:
return None
return nter... | c251da89833d3dff4f5f0826fce5ec3c2d5c2e0d | 3,614,869 |
import os
import signal
import time
def display(conn: Connection) -> None:
"""Display Game of Life in the terminal
Parameters
----------
conn: Connection
Multiprocess pipe mainly used for receiving game of life states.
The first value read from the pipe is the frame delay. Subsequent... | 58d6320aa002caf40978b72166dc56718109cd73 | 3,614,870 |
import json
import traceback
def trigger_request():
""" Callback for IFTTT trigger bunq_request """
try:
data = request.get_json()
print("[trigger_request] input: {}".format(json.dumps(data)))
if "triggerFields" not in data or \
"account" not in data["triggerFields"]:
... | 1dc1c4ff88924f7d7af826016f9218a241164627 | 3,614,871 |
import pathlib
def get_managed_environment_log_path():
"""Path for charmcraft log when running in managed environment."""
return pathlib.Path("/tmp/charmcraft.log") | 1d8c66d480094a728820ea80bdf1ad65a8859fe7 | 3,614,872 |
def get_chromsizes(bwpath):
"""
TODO: replace this with negspy
Also, return NaNs from any missing chromosomes in bbi.fetch
"""
chromsizes = bbi.chromsizes(bwpath)
chromosomes = natsorted(chromsizes.keys())
chrom_series = pd.Series(chromsizes)[chromosomes]
return chrom_series | 93384652e4f3cb0451aaf84a9a9808536b182042 | 3,614,873 |
def image_small_bokeh(an_image, a_title):
"""an_image is a skimage gray image"""
rgb = cv2.cvtColor(img_as_ubyte(an_image),cv2.COLOR_GRAY2RGB)
rgba = cv2.cvtColor(rgb, cv2.COLOR_RGB2RGBA)
rgba_flipped = rgba[::-1, :]
p = bokeh.plotting.figure(plot_width=256, plot_height=160, tools='box_zoom', title=a_title)
... | 0282d0a9600f0f70d0b9b670c1b58a27e4b71a15 | 3,614,874 |
def create_volume_type_settings(volume_type):
"""
Returns a VolumeTypeSettings object
:param volume_type: a SNAPS-OO VolumeType object
"""
control = None
if volume_type.encryption:
if (volume_type.encryption.control_location
== ControlLocation.front_end.value):
... | a87cb6c7d1f14faed9c8903a358d82fd95bff252 | 3,614,875 |
import os
from typing import OrderedDict
def parse(repo, oauth_token):
""" Parses and extracts cmd from `Testfile`.
:param repo: Name of the cloned repository.
:type repo: string
:param oauth_token: Authoprization token for the user.
:type oauth_token: string
:return CMD: Dictonary of extracte... | 6aa144551806832a6a6ea52d6a381d381930f804 | 3,614,876 |
def plot_3d_surface(axes, image, xdata=None, ydata=None, samples=None, clim=None, axlim='auto', **kwargs):
"""
Plot 2D image data as 3d surface
:param axes: matplotlib figure or subplot axes, None uses current axe
:param image: 2d array image data
:param xdata: array data, 2d or 1d
:param ydata:... | b056bd6cbe38c76881c763abe8f08162ebeaffa2 | 3,614,877 |
import functools
from typing import Union
from typing import List
def per_ds(clz: type(Trace)):
"""A class annotation which will convert regular traces into dataset-sensitive traces.
Args:
clz: The base class to be converted.
Returns:
A dataset aware version of the class. Note that if th... | ac70f3d925d640cb3967a0d4b30aff25324792b1 | 3,614,878 |
def get_gpu_capability() -> tuple[float, ...]:
"""Gives CUDA capability for each GPU"""
with _nvml():
handles = _get_device_handles()
return *map(py3nvml.nvmlDeviceGetCudaComputeCapability, handles), | 9f8e3a9cfff4b6ec77945574ec8723d2ca2d33a7 | 3,614,879 |
from typing import Optional
from typing import Union
import pathlib
import socket
def reconnecting_sftp(hostname: str,
username: Optional[str] = None,
password: Optional[str] = None,
port: Optional[int] = None,
private_key_file: O... | b78e887892d91c8e0a5b5e95e57fa86be9973a27 | 3,614,880 |
def pp_2(node, indentation):
""""Lisp Style indentation, i.e. xxx yyy
zzz
"""
if isinstance(node, TreeText):
return node.unicode_
if len(node.children) <= 2:
return "(" + " ".join(pp_flat(c) for c in node.children) + ")"
my_arg_0 = "(" + pp_flat... | 6e5e2b124d1a821df7eb73ba7928afd9c9ffa769 | 3,614,881 |
from unittest.mock import Mock
from datetime import datetime
def player_model_fixture(db_mock=Mock(), **kwargs):
"""
Get a player model fixture which can be manipulated at will
All values passed will be set to the player fixture
param unittest.mock db_mock: The mock object to use for the database obj... | 67196bc8934428603e8a9297a1524187b3d4fd3c | 3,614,882 |
def to_romaji(w):
"""カタカナ・ひらがなをローマ字書きに変換する
一般的なローマ字ではなく、IMEでの単体文字入力となる形に変換して予測候補を出しやすくする
ref: http://developers.linecorp.com/blog/?p=367
"""
def ctoromaji(c):
c = c.group(0)
# if RE_HIRAGANA.search(c):
# c = chr(ord(c)+96)
if c in ROMAJI_DICT:
return ... | 9c915b0b00e3c15b6d50e5ac330dd9621c31acf4 | 3,614,883 |
def setup_faiss_index(embedding_dim: int) -> faiss.Index:
"""Returns a simple `IndexFlatIP` FAISS index with a vector dimension size of `embedding_dim`
and an ID map for cosine similarity searching.
"""
index = faiss.IndexFlatIP(embedding_dim)
index = faiss.IndexPreTransform(faiss.NormalizationTrans... | 05ca97680bed1468c99dcd28d89bfcad80e1279f | 3,614,884 |
def mm_init_guess(runprops):
"""This function will produce the initial guess used in multimoon.
Input:
runprops- All run properties for the code. Will include
the name of the init_guess dataframe csv file.
Returns:
params_df - A parameters dataframe with the same column n... | 60a65507d2a9f12cb43c0a6f651f3d4f3f39972b | 3,614,885 |
def add_ixn_decreases_phosphorylation(graph, ixn):
"""Adds an interaction that represents the chemical decreasing the phosphorylation of a protein
:param pybel.BELGraph graph: A BEL graph
:param pyctd.manager.models.ChemGeneIxn ixn: A chemical-gene interaction
:return: The hash of the added edge
:r... | 6c896e781a3eaa16db6aecb42a71653e1dbc77cb | 3,614,886 |
import struct
def set_wm_window_opacity(window, opacity):
"""
Sets the opacity of the current window.
N.B. If your window manager uses decorations, you'll typically want to pass
your client's *parent* window to this function.
:param window: A window identifier.
:param opacity: A float betwe... | 5fcfdfb3aecef2f78e9f6ced8602258749ea2527 | 3,614,887 |
def parse_price_url(r):
"""
解析重定向url， 构造价格的url
:param r: post返回的response
:return:
"""
jsonobj = r.json()
price_url = jsonobj['data']['redirectUrl']
# price_url 的格式是/pc/index.html#/inquiry/6534929115267980857
# 截取url的inquiry后面的部分6534929115267980857
# TODO:存在无报价的情况
if "Noprice"... | 1dce1621e12b6f4446230c35646f5864278f7ee2 | 3,614,888 |
def defer(fn, delay):
"""Defer a function call after a set period of time has elapsed (in seconds)
Parameters
----------
fn : a callable that takes no args
delay : int | float
the time delay in seconds to wait before calling fn
Returns
-------
DeferRef
a reference to th... | 8540abd637381c3a1b2c47c6a561f16e7d2033c6 | 3,614,889 |
def proactive(ARG_defaultname: str="file"):
"""Use this function *before* generating data.
Parameters
----------
ARG_defaultname : str, default is "file"
The filename to save the data under, assuming the user does not choose another name.
Returns
-------
savebool : bool
If ... | dc94f7f847842f644fafe26622ea4d8870d0b1ae | 3,614,890 |
def _is_authorized(vdc):
"""Check if the user is authorized through BasicAuth or API Keys.
"""
auth_header = request.headers.get("Authorization")
if auth_header:
# Get vdc name and password from request Authorization header with Basic type
name, password = parse_auth(auth_header)
... | 6bb0adcd76ded8c22e10c48cc816a38059b4ccc2 | 3,614,891 |
def compute_distances_matrix(positions, max_distance, pixel_size=None):
"""Calculates Mutual Closest Neighbour distances between all channels and returns the values as
"""
module_logger.info('Computing distances between spots')
if len(positions) < 2:
raise Exception('Not enough dimensions to do... | 0bc1ffc3c2cfddc66b4123b696f10be9bba924ef | 3,614,892 |
def _extract_graph_summary(graph_def):
"""Extracts useful information from the graph and returns them."""
name_to_input_name = {} # Keyed by the dest node name.
name_to_node = {} # Keyed by node name.
# Keeps track of node sequences. It is important to still output the
# operations in the original order.
... | 8984faf6f95c847cd7d4c43654f96ef1ae44f460 | 3,614,893 |
def _compute_rank_down(start_nodes):
"""
Compute the rank of the down stream nodes.
Args:
start_nodes (list[NodeGraphQt.BaseNode]):
(Optional) the start nodes of the graph.
Returns:
dict{NodeGraphQt.BaseNode: node_rank, ...}
"""
nodes_rank = {}
for node in start... | 0424b4b0e75af6e2710dfc139f70133c4587f164 | 3,614,894 |
import time
def generate_timestamp(expire_after: float = 30) -> int:
"""
:param expire_after: expires in seconds.
:return: timestamp in milliseconds
"""
return int(time.time() * 1000 + expire_after * 1000) | 16f2fcd77de9edb1e167f1288e37a10491469c22 | 3,614,895 |
from typing import Counter
import math
def radius_of_gyration(positions, user):
"""
Returns the radius of gyration, the *equivalent distance* of the mass from
the center of gravity, for all visited places. [GON2008]_
References
----------
.. [GON2008] Gonzalez, M. C., Hidalgo, C. A., & Baraba... | b71d82d30b28d16efa57943cb1a5b34578a8fd5a | 3,614,896 |
def evaluate_manufactured_solution_result_at_step(filename,dof,list_of_functions,step=-1,meshname='connect1',rtol=1e-5):
"""
=======================================================
| evaluate_manufactured_solution_result_at_step |
=======================================================
Evalua... | fb91cc2f6a84eebaec2d17796cfe9b68cfb2f9fd | 3,614,897 |
import os
import logging
def get_available_devices_num():
"""get available devives num."""
env_dic = os.environ
try:
return int(env_dic.get('DEVICE_TOTAL_NUM').lower()) if env_dic.get('DEVICE_TOTAL_NUM') else 1
except NameError as e:
logging.error(e)
return 1 | ebaac1bf30061fe31123651471219c3b4960eba4 | 3,614,898 |
import base64
def b64e(s):
"""b64e(s) -> str
Base64 encodes a string
Example:
>>> b64e("test")
'dGVzdA=='
"""
return base64.b64encode(s) | 2562f5d18ac59bbe4e8a28ee4033eaa0f10fc641 | 3,614,899 |
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