content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def iterm2hex(root):
"""Get hex codes from iterm xml
Args:
root (xmlroot): xmlroot
Returns:
dict: iterm keys to hex
"""
keys = root.findall("./dict/key")
dicts = root.findall("./dict/dict")
iterm = {}
for i, _key in enumerate(keys):
keyName = keys[i].text
r = g = b = None
for index, item in enumerat... | db499fc5d648727974bc449e5a801eeaa1f5ae46 | 3,614,300 |
def __increaseCombinationCounter(root):
""" increase the combination-counter,
which is located in the provided root-node """
if root['type']=='graphroot':
root['combination'] += 1
return root | c2f7c88ef2eca4f8c4bf6532cc76ed5a1833dfe6 | 3,614,301 |
async def get_complaints(request: Request):
"""Get complains
Get complaints for User.
- If user has role complainer, returns complaints created by this user.
- If user has role aprover, returns complains in status pending
The user have been authenticate!!!.
Args:
request (Request): ... | aabb8eff59a79f8f8d6a3965914634f1a9c40da0 | 3,614,302 |
import winreg
def supports_color():
"""
Return True if the running system's terminal supports color,
and False otherwise.
"""
def vt_codes_enabled_in_windows_registry():
"""
Check the Windows Registry to see if VT code handling has been enabled
by default, see https://super... | 5b3460d0c4da46de1c707a34c471c8278128830c | 3,614,303 |
def make_list_of_model_filenames(model,fc_dates,lt):
"""
returns: flst - list of model files to be opened
dlst - list of dates to be chosen within each file
"""
#fn = make_model_filename_wrapper('mwam4',datetime(2021,1,1,1),1)
flst = []
for d in fc_dates:
fn = make_model_fil... | 0961d7f7c6a6ed952d3ec93013e6c411ecfb765e | 3,614,304 |
def mask_to_lbl(mask, label):
"""Convert mask to label image."""
lbl = np.empty(mask.shape, dtype=np.int32)
lbl[mask] = label
lbl[~mask] = -1
return lbl | 590109ed73d06737551875da4e44117cb8546ff7 | 3,614,305 |
from . import support
def setup_resources(resources=None):
"""
Call either with a list of resources or a resource string.
If ``None`` is given, get the resource string from the environment.
"""
if isinstance(resources, str) or resources is None:
resources = parse_resources(resources)
... | ea9a736e071a3f9f8525c68776e026bd3be6c966 | 3,614,306 |
def approx_average_is_average(hand):
"""
:param hand: list - cards in hand.
:return: bool - is approximate average the same as true average?
"""
median = hand[len(hand)//2]
approx_average = (hand[0] + hand[-1])/2
avg = card_average(hand)
return median == avg or approx_average == avg | 49b6373858a28e7bc9420f1ff561cf0cb0909822 | 3,614,307 |
def test_runner_names():
"""Get iterable of test-runner plugin names."""
return ExtensionManager('cosmic_ray.test_runners').names() | 1d0af25928c1224ebafc9801fc5e1c05877b3060 | 3,614,308 |
def get_options():
"""Create user interface options."""
user_options = {}
user_options['chassis'] = {'label': 'Chassis',
'type': 'stringList',
'default': 'benzene',
'values': chassis_list}
user_options['center-... | dce5c29735b2a0d20dd60cf2df165c4ce2fd4d99 | 3,614,309 |
def compute_dissymmetries(diffables_a, diffables_b):
"""Return a list of dissymmetry from two given diffable lists."""
if not diffables_a and not diffables_b:
return []
dissymmetries = []
for a, b in _outer_join_diffables(diffables_a, diffables_b):
if not a:
dissymmetry = b.... | f8e66a23fbeaf44f9942bf8eea3db009d63a3a55 | 3,614,310 |
def getInterestHistory(asset="", isolatedSymbol="", startTime="", endTime="", current="", size="", archived="", recvWindow=""):
"""# Get Interest History (USER_DATA)
#### `GET /sapi/v1/margin/interestHistory (HMAC SHA256)`
### Weight:
1
### Parameters:
Name |Type |Mandatory |Description
--------|--------|--------... | 2f9abb185241386dd6b072c8c73210112a71332e | 3,614,311 |
def orthonormalize(A):
"""Return an orthonormal basis in which `A` has a sparse representation.
`A` will have support only on the first three elements. The first element
is guaranteed to be proportional to the identity. This basis is
constructed using Gram-Schmidt orthogonalization.
Parameters
... | 6e5a0aecf1f3036bdaccf1ab8e3e39846185e69b | 3,614,312 |
import numpy as np
import pandas as pd
from .export_image import export_image
from .. statistics.cdf import cdf
import matplotlib.pyplot as plt
from .utils import format_plot, get_label
import probscale
def probability_plot(data, wt=None, lower=None, upper=None, logscale=True, ax=None, figsize=None,
... | 8b48241fa8dcc0b2c0fa14e93110b0e9e7dd86b6 | 3,614,313 |
import time
def get_time_human_readable():
"""
returns well formated time string.
for example: Donnerstag, 21:00
"""
return time.strftime("%A, %H:%M") | 2dfc67ba6eec8b830a9bacb5f4d9c6baaab17943 | 3,614,314 |
def proc_annotation(file_path, ann_dict, split, trimmed, class_to_id_map):
"""Process the annotations and return list of file_paths and corresponding
annotations
Arguments:
file_path (str): File path for the corresponding annotation
ann_dict (dict): The annotation dictionary
spl... | 182fa2f8bb168c7d91f0669ff4c2066db6b34869 | 3,614,315 |
def get_csv_filename(name: str) -> str:
"""
Returns the name of a CSV file corresponding to the input file `name`. If `name` is a CSV
file already (that is: does not have an .xls ending or some extension of this suffix) the
`name` is returned unchanged. If on the other hand `name` is the name of a
s... | eb4e61fb926d5295571146aba343e0ee00c1261e | 3,614,316 |
def findpeaks(data, spacing=1, limit=None):
"""Finds peaks in `data` which are of `spacing` width and >=`limit`.
:param data: values
:param spacing: minimum spacing to the next peak (should be 1 or more)
:param limit: peaks should have value greater or equal
:return:
"""
len = data.size
... | a47b5e0767fff2541906160ab358d4dc35c80979 | 3,614,317 |
import argparse
import os
def parse_command_line():
"""
Parse the command line.
Returns:
Namespace: The parsed command line container.
"""
parser = argparse.ArgumentParser()
# All reference encoders
refcoders = ["ref-1.7",
"ref-2.5-neon", "ref-2.5-sse2", "ref-2.5... | 6293051e99583f982222552cff150e33d2a7178b | 3,614,318 |
import numpy
def gaussian_kernel(x1, x2, sigma):
"""
Computes the radial basis function
Returns a radial basis function kernel between x1 and x2.
Parameters
----------
x1 : numpy ndarray
A vector of size (n, ), representing the first datapoint.
x2 : numpy ndarray
A vecto... | 09305fe216a1994e597b9c44c83e7f0fc5283575 | 3,614,319 |
def _extractSpecCAP(config, tab, kernelDict, method = 'CAP', diskRadiusArcmin = 4.0, highPassFilter = False,
estimateErrors = True):
"""See extractSpec.
"""
# Define apertures like Schaan et al. style compensated aperture photometry filter
innerRadiusArcmin=diskRadiusA... | 46cf8a477f3ef3b74e8f5b6af5431fedc618d85c | 3,614,320 |
def uniform_on_unit_sphere(N, D):
"""Draw ``N`` points uniformly distributed on the surface of a
``D``-dimensional unit sphere.
Example
-------
.. plot::
:include-source:
import matplotlib.pyplot as pl
import bluebell as bb
import bluebell.plot as bbplot
x = bb... | a59c89119207713cf68b6ba14fcd4d284be93eb7 | 3,614,321 |
def freq_title_format(freq):
"""
e.g. Frequency: 440 Hz
e.g. Frequency: 15.0 kHz
"""
if freq < 10000:
title = f"Frequency: {round(freq, 1)} Hz"
elif freq >= 10000:
freq = round(freq * 1e-3, 1)
title = f"Frequency: {freq} kHz"
return title | f2235efcb8d25c33741923ca44962e0ef6bb0899 | 3,614,322 |
def mat_toeplitz(h, g):
"""
Constructs a Toeplitz matrix from the given sequences
Parameters
----------
h: list[]
A sequence defining the matrix for non-negative indices.
This will define the number of rows.
g: list[]
A sequence defining the matrix for negative indices. ... | b9c3cacccd8c230180c1c28ac4e9f2cf2b991a2a | 3,614,323 |
def validateShot(msg):
"""Valida tiro dado e retorna uma resposta formatada.
Parameters
----------
msg : str
Mensagem do client.
Returns
-------
response : str
Resposta formatada.
"""
# Pegar linha e coluna do tabuleiro
line = msg[3] # linha
column = msg[4... | 1652af53ed35d17f59289e4cd6135b708a9cd288 | 3,614,324 |
import time
import tempfile
import os
import subprocess
import shlex
import scipy
import shutil
def dsift_llc(image_filenames, image_ids):
"""
For each image_id in the list, compute the Dense SIFT feature, LLC coded
with a 10K-dimensional codebook (obtained by subsampling a 100K-dimensional
codebook.
... | 24775c60dd729c380979020ebca9ae347b42bea6 | 3,614,325 |
from typing import Tuple
from typing import List
def _normalize_einsum_in_subscript(subscript: str,
in_operand_shape: ShapeT,
index_to_descr: PMapT[str,
EinsumAxisAccess],
... | 32feadca7092805e27b1d1fb763b4d50327e781e | 3,614,326 |
def poincareSeedsLine(POT, nPoints = 500, start=-1, stop=1, center = [0,0,0]):
"""
returns an array of the positions to seed the stream tracing
the positions lie on a line from going from center through the degenerate
torus. start should be negative for the points to start before the degenerate
to... | e3fdedf82351bd6e4159af53a723bfc9c25bd541 | 3,614,327 |
import pandas as pd
import os
def caterpillars(path):
"""Caterpillars
Measurements on a sample of Manduca Sexta caterpillars
A dataset with 267 observations on the following 18 variables.
`Instar`
Coded from 1 (smallest) to 5 (largest) indicating stage of the
caterpillar's life
`ActiveFeeding`
I... | ea102db502ad6736bc29650a54040bbdd89b4a95 | 3,614,328 |
import os
import warnings
def fetch_adhd(n_subjects=None, data_dir=None, url=None, resume=True,
verbose=1):
"""Download and load the ADHD resting-state dataset.
Parameters
----------
n_subjects: int, optional
The number of subjects to load. If None is given, all the
40 ... | 4940e4a9fffc9354a025303f6394536f29dadd26 | 3,614,329 |
from typing import Dict
from typing import Any
def modify_openapi() -> Dict[str, Any]:
"""modify_openapi."""
if app.openapi_schema:
return app.openapi_schema
openapi_schema = get_openapi(
title="MySQL-AutoXtrabackup",
version=f"{VERSION}",
description="Rest API doc for MySQ... | 8f0422ad65734ba4807de67b084ab2ede7b12d64 | 3,614,330 |
def get_atol(atol=None):
"""Get default numerical threshold for regression test."""
# _TODO: get from env variable, different threshold might
# be needed for different device and dtype
return 1e-20 if atol is None else atol | a0bc20b0608d981d162e1dfead5cbe900333f696 | 3,614,331 |
import os
def path(*parts):
"""
Joins the path parts with the #project_path, which is initialized with the
parent directory of the file that first imported this module (which is
usually the Python plugin file).
"""
path = os.path.join(*parts)
if not os.path.isabs(path):
path = os.path.join(project_p... | 8730ff796d6b27bbed9e10cdc9270109969e352a | 3,614,332 |
def bootstrap(values, nIter, alpha):
"""
bootstrapping to create error bounds, uses resmapling with replacement of sample size n-4
:param values: n-by-m matrix, n = number of runs to resmaple from, m = observations per run
:param nIter: int, number of resamples
:param alpha: float, percentile bounds... | 02b2dbf9ba170ebf2e931100fb63d365395d8f1a | 3,614,333 |
def resolve_required_interfaces():
"""Helper function to build a map of required interfaces based on the
OpenStack release being deployed.
@returns dict - a dictionary keyed by high-level type of interfaces names
"""
required_ints = deepcopy(REQUIRED_INTERFACES)
if CompareOpenStackReleases(os_r... | f7c2a85b99817e3fc32b56d49a841e02a73815da | 3,614,334 |
from typing import Optional
from typing import Union
from pathlib import Path
from typing import List
from typing import Dict
def create_run(
logger: Optional[HasuraLogger] = None,
config: Optional[Union[Path, str]] = None,
charts: Optional[List[dict]] = None,
metadata: Optional[Dict] = None,
swee... | e08222ae1ed5369a9d1118b6c96168aa5ce6aa80 | 3,614,335 |
from typing import List
from textwrap import dedent
def generate_bootstrap_sql_bal_erg(header: Header, outputs: List[Output]) -> str:
"""
Bootstrap sql for erg balance tables
Watcher checks latest height in bal.erg_diffs to determine if bootstrapping
is needed and if so, from which height. Here, we s... | 88cb1510570f78c75fcf5c3f30db0da34821c0a0 | 3,614,336 |
def _gen_id(prefix, suffix=None):
"""
Generates the id
"""
suffix = "-{}".format(suffix) if suffix else ""
return "{prefix}-{uid}{suffix}".format(prefix=prefix, uid=uuid4(), suffix=suffix) | 31fc98e3325a7794e34cd929365df219be840038 | 3,614,337 |
def _add(set, item):
"""Adds an item to the set and returns the set"""
set[item] = _EMPTY
return set | 0bc459c267fc2b88116f74e3fb597004241f7153 | 3,614,338 |
import os
def ensure_symlink (src, dst):
"""Ensure the existence of a symbolic link pointing to src named dst. Returns
a boolean indicating whether the symlink already existed.
"""
try:
os.symlink (src, dst)
except OSError as e:
if e.errno == 17: # EEXIST
return True
... | 0ff95fc22f59f9436e8bf1ab6fe8732c46f953cb | 3,614,339 |
import math
from datetime import datetime
def suntime(date_time,latitude,longitude):
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 21 10:36:23 2017
@author: Roland Proud
"""
T = date_time.timetuple() ### time (today)
## (year, month, day, hour, minutes, seconds)
## lat lon for hobart, tasmania
#lat1 =... | 353a678bc20fe0e991fe69edf158cf586a33f7b6 | 3,614,340 |
def _get_batch(data, i, seq_len):
"""バッチ毎にデータを取得する
"""
slen = min(seq_len, data.shape[0] - i)
inputs = data[i:i + slen]
target = inputs.copy()
# tensorflowのopに変換
# dataは変数ではないのでconstantとする
return tf.constant(inputs), tf.constant(target) | 68ed3536cf720446c1f5523c65efd386b9fc77c8 | 3,614,341 |
from typing import List
def calibrate_universal(observations: List, detector, num_radial=2, tangential=True, zero_skew=True,
mirror_offset=None):
"""
Calibrate a fisheye camera using Universal Omni model.
:param observations: List of {"points":(boofcv detections),"width":(image wi... | 46cc216e2072a70afa55f34d105056ac720f4e40 | 3,614,342 |
from typing import Optional
from typing import Callable
import functools
import threading
import logging
def wrap_with_logs(fn: Optional[Callable] = None, target: str = __name__) -> Callable:
"""Calls the supplied function, and logs whether that
function raised an exception or terminated normally.
This i... | baff17c8a1cdee2e5f81c0d06db620951bbfb94c | 3,614,343 |
def first_pass(text):
"""
Find links, comments, escaped (or non wiki-formatted text), templates and template arguments
:param text:
:return: list containing 2 lists
(first one gives the locations of links, templates and template arguments,
second ... | fabe9a121070c6b91e43701d3545df046e38b2ff | 3,614,344 |
def map_url_out(request, env, application, controller,
function, args, other, scheme, host, port, language=None):
"""
Supply /a/c/f (or /a/lang/c/f) portion of outgoing url
The basic rule is that we can only make transformations
that map_url_in can reverse.
Suppose that the incomin... | 179aba72008865250b3b1f36b92192ce9338e560 | 3,614,345 |
from typing import Union
from pathlib import Path
import os
def gen_mocs_image(fits_file: str,
outdir: Union[str, Path] = '.',
write: bool = False
) -> Union[MOC, STMOC]:
"""
Generate a MOC and STMOC for a single fits file.
Args:
fits_file:... | bcb89bbf0fc383c20481c2ae05da9f9b840de6a3 | 3,614,346 |
import re
def remove_numbers(s):
"""Removes numbers, including times."""
return re.sub('\d+(:\d*)*(\.\d*)?', ' ', s) | b234b914cc84b04cd183ba086674df0775f3b098 | 3,614,347 |
def process_lightcurve_into_numpy_array(hdulist, row, replace_outliers=True):
"""The function is to get the time series and the flux series from the original light curve file."""
## get planetary and stellar parameters
quality = hdulist[1].data['QUALITY']
tess_mag = hdulist[0].header['TESSMAG']
sta... | cfa5cbdfd0a2beff706f33ab1b6cf707d834df7a | 3,614,348 |
import pandas as pd
import os
def florida(path):
"""Florida County Voting
The `Florida` data frame has 67 rows and 11 columns. Vote by county in
Florida for President in the 2000 election.
This data frame contains the following columns:
GORE
Number of votes for Gore
BUSH
Number of votes fo... | 5bee7ed7542032636466667b66408561a0da5179 | 3,614,349 |
import collections
def char_ngram_count_normalised(text, n, number_of_terms = 0):
"""Returns a list of ngram frequencies given a text
text -- the text from which the word frequencies are to be extracted
n - the number of grams (2 indicates bigram)
number_of_terms -- number of terms to extr... | 952e2366f91ca6d43204276922ad2a179e95e946 | 3,614,350 |
def entropy_difference_timeseries(usage_distribution, absolute=True, intervals=None):
"""
:param usage_distribution: a CxT diachronic usage distribution matrix
:return: array of entropy differences between contiguous usage distributions
"""
if absolute:
return np.array([abs(d) for d in np.di... | ae63ee91ad0712da4d04a1f00904c091ea7fd85e | 3,614,351 |
import logging
def merge_files(left_file: str, right_file: str, columns: list, keep: str = 'none', keep_missing: str = 'none') -> pd.DataFrame:
"""
Merges two csv files
Parameters:
left_file (str): Path to first file
right_file (str): Path to second file
column (str): Name of column to merge ... | feca64766f5505ed95e4717a1d8e1ece94bc9157 | 3,614,352 |
def transformMeshPosOri(vertices, normals, pos=(0., 0., 0.), ori=(0., 0., 0., 1.)):
"""Transform a mesh.
Transform mesh vertices and normals to a new position and orientation using
a position coordinate and rotation quaternion. Values `vertices` and
`normals` must be the same shape. This is intended to... | 281bc002555ef30980d9c382557a7dddbdfa1210 | 3,614,353 |
def rmse_over_time(pred_time_series, meas_time_series, normalization=None):
""" Calculates the NRMSE over time,
Args:
pred_time_series (np.ndarray): predicted/simulated data, shape (T, d)
meas_time_series (np.ndarray): observed/measured/real data, shape (T, d)
normalization (str_or_None... | d560e319847df7ef7a06c9b72840e05fd0621edb | 3,614,354 |
def SampleSelection_v2(setOfPoints,nSamples,returnIndicies=False, nTrials=10, debug=False):
"""Using Convex Hull to select boundary points. Filling the rest by performing random selections """
nPoints = setOfPoints.shape[0]
hull = ConvexHull(setOfPoints)
indicies = hull.vertices.tolist()
boundaryPo... | 40f9111f72e16ca6ab2125605441464ef71a76a0 | 3,614,355 |
def planFree(world,hand,qtarget):
"""Plans a free-space motion for the robot's arm from the current
configuration to the destination qtarget"""
globals = Globals(world)
cspace = TransitCSpace(globals,hand)
robot = world.robot(0)
qmin,qmax = robot.getJointLimits()
#get the start/goal con... | 4281f2cd1ffa759d2fceec927a11c04c99f52605 | 3,614,356 |
import torch
def squash_tensor(x, min_val, max_val):
"""Normalize a tensor to a specific range."""
x_np = x.clone().numpy()
sq = np.interp(x_np, (x_np.min(), x_np.max()), (min_val, max_val))
return torch.from_numpy(sq) | d64326d15b06bc0e9be11e66655bfff158645fe2 | 3,614,357 |
def test_downstream_message_sending_via_recipewrapper_with_unnamed_output():
"""Test sending messages via the RecipeWrapper when the current step
does not have named outputs, or any output at all.
"""
def downstream_message(dest, payload, path=()):
"""Helper function to generate expected messag... | ebf070c63e72a749321e210f7a40d0093af78251 | 3,614,358 |
from werkzeug.exceptions import SecurityError
def get_host(environ, trusted_hosts=None):
"""Return the host for the given WSGI environment. This first checks
the ``Host`` header. If it's not present, then ``SERVER_NAME`` and
``SERVER_PORT`` are used. The host will only contain the port if it
is differ... | 292b949a5ab2b5f1eb52d06c1a785a61935b6f54 | 3,614,359 |
import copy
def feature_engineering(df, ft_requests, idcol):
"""
The Feature Engineering module needs FeatureTools installed to work.
So please do "pip install featuretools" before trying out this module.
It takes a given data set, df and adds features based on the requet types in
ft_requests whic... | d43bdb0895162922e9c927181f906244cb2175bd | 3,614,360 |
def rss(type: RSSType):
"""Get the RSS feed url for the entire site depending on which feed type you want
Parameters
-----------
type : RSSType
The type of feed you desire to get
Returns
--------
str
URL for the feed type
"""
return f"https://rss.moddb.com/{type.nam... | f12b35057e15bcd8aea31007a9441e641eefcc38 | 3,614,361 |
def explode_df(df, schema):
"""
Transform ouroborous DR1/DR2 extracts into unified vote table
Designed for Ouroborous raw data extract, after removing rare answers.
Args:
df (pd.DataFrame): rows by classification, columns by question (e.g. 'decals-0'), values by answer (e.g. 'a-0')
schem... | ea997a0920e8b2919f659901fd5629ca146da95f | 3,614,362 |
def fold(ts, period, bins, subints=None):
"""
Fold TimeSeries at given period
Parameters
----------
ts : TimeSeries
Input time series to fold
period : float
Period in seconds
bins : int
Number of phase bins
subints : int or None, optional
Number of desire... | 9d53355bcdc0cf073f030886962de8daba0090bc | 3,614,363 |
def is_image(im, cv2_ok=True, pil_ok=True):
""" Check if the input is a valid image or not
Args:
im: image
cv2_ok (bool, optional): check cv2. Defaults to True.
pil_ok (bool, optional): check pil. Defaults to True.
"""
assert cv2_ok or pil_ok
if cv2_ok:
flag_cv2 = is... | d96d99c2e7a93a4389239dfccc3013fd87cebd40 | 3,614,364 |
def get_ois_using_template(template,
type_ois: TypeOis, rp: Qcf.RecPay, notional: float, start_date: Qcf.QCDate,
tenor: Qcf.Tenor, fixed_rate_value: float, spread: float, gearing: float):
"""
"""
template_dict = template[type_ois]
meses = tenor.get_y... | 0898b8c9f5c5d1c03318f2b31a2507e5cec6988c | 3,614,365 |
from typing import Iterable
from pathlib import Path
def get_versions(
dependency: str,
granularity: str = "minor",
# ascending: bool = False, limit: Optional[int] = None,
# allow_prerelease: bool = False,
) -> Iterable[str]:
"""Yield all versions of `dependency` considering version constraints
... | 82853c6728de30aa55368d3230ccfc285a9e34eb | 3,614,366 |
import numpy
def insert_dummy_atom(zma, x_key, x_key_mat, x_name_mat, x_val_dct):
""" insert a dummy atom at a given position in the z-matrix
"""
syms = symbols(zma)
key_mat = numpy.array(key_matrix(zma))
name_mat = numpy.array(name_matrix(zma))
# check whether x_name_mat overlaps with name_m... | 82115070c618bae5ed01995fdcea2c9b90e20897 | 3,614,367 |
def prepare_plane_to_curved_flat_arbitrary(k, rs_support, num_pointss, z, xo, yo, qs_center=(0, 0), kz_mode='local_xy'):
"""Prepare propagator from uniformly sampled plane to arbitrarily sampled curved surface.
The zero-th order component (k_z) is included (arbitrarily) in Px.
Args:
k (scalar): Wav... | 620601d45384c0942d02fc047c06fd627300b8c3 | 3,614,368 |
def deprecated_alias(**aliases):
"""
A deprecation decorator constructor.
Parameters
----------
aliases: str
The key-value pairs of mapping old --> new argument names of a
function.
Returns
-------
callable
A decorator for the specific mapping of deprecated argu... | f9b71682a55a298c4626e51f3b53864ff8adf44c | 3,614,369 |
from typing import Optional
def get_asset_encryption_key(account_name: Optional[str] = None,
asset_name: Optional[str] = None,
resource_group_name: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetA... | 6c794a2347a4a939857342ef7f6558d11c6b10bb | 3,614,370 |
def _escapeWildCard(klassContent):
"""
>>> _escapeWildCard('')
''
>>> _escapeWildCard(':*')
''
>>> _escapeWildCard(':Object')
':Object'
"""
return klassContent.replace(':*', '') | 537b3969dabb46c3a093dacc3ba49a58833f8c18 | 3,614,371 |
def convert_xyz_to_rgb(x, y, z, *, space, reference, clip=True):
"""
Converts give XYZ values to RGB (0-1).
Note: For general purpose use, directly use conversion functions like
`xyz_to_srgb`, `xyz_to_adobe_rgb` etc. instead using this function.
:param x: X
:param y: Y
:param z: Z
:par... | da909f979013e47806e3ea364db3022d439b5868 | 3,614,372 |
def _show_graph() -> None:
"""Function that sets the plt configuration then calls matplotlib.show().
plt configuration is set from _GLOBAL_GRAPH_CONFIGS
"""
_configure_plot(_GLOBAL_GRAPH_CONFIGS)
plt.show()
return None | f9cb085828e414c0fc306d2ecd2dd6d7275d74d9 | 3,614,373 |
import logging
import tqdm
def pr3_search(bursts, obs_mjds, obs_durations, pmin=1.57, pmax=62.8, nbins=8, pres = None, nopbar=False):
"""
Periodicity search using Pearson chi square method used in The CHIME/FRB Collaboration et al 2020
:param bursts: List or array of burst MJDs
:param obs_mjds: Start... | a1e8014d0e3f52352ea5cdd75da308adaeb21773 | 3,614,374 |
import gzip
import tqdm
import json
def get_df(path):
""" Apply raw data to pandas DataFrame. """
idx = 0
df = {}
length = len(gzip.open(path, 'rb').readlines())
g = gzip.open(path, 'rb')
# progress = g
progress = tqdm(g, desc='transforming', total=length, leave=False, unit_scale=True)
... | 9c22ae55c4a95b8a891d923541cba79d967263bf | 3,614,375 |
def width_required_for_column(header, values):
"""
Spaced needed to display column in a single line, accounts for the two
extra characters that the tabulate package adds to the header when the
content is too short
"""
values_max = -1 if not values else max(len(str(v)) for v in values)
return... | 1ec812af0da623f4b52edc6708f265a5c14fb03a | 3,614,376 |
from datetime import datetime
def get_coinbase_stats(access_token, currency, period):
"""
Get historical investment data across all accounts.
"""
client = OAuthClient(access_token, access_token)
cache_date = datetime.datetime.date(datetime.datetime.now())
user, accounts = _get_user_and_account... | dbe0e7f3a762b12bb4feaecacf0cb2ee0fbbc650 | 3,614,377 |
def token_to_tuple(token: Token) -> tuple:
"""Convert token to tuple."""
return (token['txn_hash'],
token['owner'],
token['value'],
token['signature']) | 43429d0995d5f45c78fc80326ca3e7d718bb0137 | 3,614,378 |
import torch
import os
import json
def evaluate(args, accelerator, dataloader, eval_set, model, checkpoint, has_labels=True, write_to_file=True):
"""Evaluate a model checkpoint on the given evaluation data."""
num_examples = args.num_examples[eval_set]
eval_metric = None
completed_steps = 0
eval_... | ab61e81406e9cf475c1e8b4b89fecd8d8fa4634b | 3,614,379 |
def _setup_entities(hass, dev_ids, platform):
"""Set up Tuya Climate device."""
tuya = hass.data[DOMAIN][TUYA_DATA]
entities = []
for dev_id in dev_ids:
device = tuya.get_device_by_id(dev_id)
if device is None:
continue
entities.append(TuyaClimateEntity(device, platfo... | e50189e52c1495028b2fd1a3432eaa8f80ad2a64 | 3,614,380 |
import torch
import re
import collections
def imed_collate(batch):
"""Collates data to create batches
Args:
batch (dict): Contains input and gt data with their corresponding metadata.
Returns:
list or dict or str or tensor: Collated data.
"""
error_msg = "batch must contain tenso... | 553e27cedc2767270ae2d70490af0af19e1da16f | 3,614,381 |
import time
def throttle(s):
"""Decorator ensures function that can only be called once every `s` seconds.
"""
def decorate(f):
t = None
def wrapped(*args, **kwargs):
nonlocal t
t_ = time()
if t is None or t_ - t >= s:
result = f(*args, ... | 5095b9477958099798d1a00740e313d007e346e4 | 3,614,382 |
import numpy
def _tot_recovery_op(habitat_arr, num_arr, denom, max_rating):
"""Calculate and reclassify habitat recovery scores to 1 to 3.
The equation for calculating reclassified recovery score is:
score = 3 * (1 - num/denom/max_rating)
If 0 < score <= 1, reclassify it to 1.
If 1 < score <=... | 7f538374e62884a355b2976707125505fd93550d | 3,614,383 |
import posixpath
def rdsamp(record_name, sampfrom=0, sampto=None, channels=None, pn_dir=None,
channel_names=None, warn_empty=False, return_res=64):
"""
Read a WFDB record, and return the physical signals and a few important
descriptor fields.
Parameters
----------
record_name : str... | d2271ff273b34d7871b944aab9c925e771b33dad | 3,614,384 |
import tkinter
def create_puzzle_frame(parent_frame, n, current_puzzle_frame=None, read_only=False):
"""
Creates a new puzzle frame inside a parent frame and if the puzzle frame already exists, first destroys it.
This is done because when the n changes we have to change the puzzle frame's grid row and col... | 9017d288c2ae33a789af3a1197d09375282e3fdf | 3,614,385 |
async def tag_info_command(ctx: utils.PrefixContext) -> None:
"""Get info about a tag
Args:
<name|alias>: The tag name or alias to get info about.
"""
name = ctx.options.name.lower()
query = (
"SELECT t.tagname, t.tagowner, t.uses "
"FROM tags t FULL OUTER JOIN tag_aliases a... | 0dc13ef6f7e484fb96146625afff687a7adf2dec | 3,614,386 |
def fric_pipe(FlowRate, Diam, Nu, Roughness):
"""Return the friction factor for pipe flow.
For laminar flow, the friction factor is 64 is divided the Reynolds number.
For turbulent flows, friction factor is calculated using the Swamee-Jain
equation, which works best for Re > 3000 and ε/Diam < 0.02.
... | 43ec6c1e2e21f839cf549d990cdc4dc4d412f8d4 | 3,614,387 |
import os
def load_model(model_uri, local_destination_path=None):
"""
Load an ONNX model from a local file or a run.
:param local_destination_path: The local path for downloading the model artifacts from the artifact store.
:param model_uri: The location, in URI format, of the MLflow model, for examp... | 913d13934adc276f05ec2735d114f2e8e86e3d95 | 3,614,388 |
def geocode_address(input_address):
"""
Geocode an address to (lat, lon)
"""
try:
latlng = geocoder.arcgis(input_address).latlng
return latlng
except:
pass
try:
latlng = geocoder.osm(input_address).latlng
return latlng
except:
pass
try:
... | cc7200135197e7801e1338819b450eeb87d447e5 | 3,614,389 |
def R1(w):
""" R1 is the region after the first non-vowel following a vowel,
or the end of the word if there is no such non-vowel.
"""
m = RE_R1.search(w)
if m:
return w[m.end():]
return "" | 7c3981d577e27351a8502af4ea30667204d6945d | 3,614,390 |
import gzip
import shutil
def md_from_fast5_file(f5_file):
"""Read from a specified fast5 file and return a dict of metadata
"""
if f5_file.endswith('.gz'):
# Unpack the entire file in memory - much faster than a direct read from gzip handle
with BytesIO() as bfh:
with gzip.ope... | 85dbbe0601b61100dbe61e37b060107213d9b0d9 | 3,614,391 |
def db():
"""Recover the current configured DB instance.
If no default instance is configured then ValueError will be raised.
:returns: The DB instance configured through init().
"""
if not __db:
raise ValueError("No DB instance configured! Call init() first.")
return __db | c2aa62ad17c6a3c6784e1f6b23943f3664c1f5c3 | 3,614,392 |
def check_fields(default_dict, new_dict):
"""
Return the dictionary with default keys and values updated by using the information of ``new_dict``
:param dict default_dict:
Dictionary with default values.
:param dict new_dict:
Dictionary with new values.
:return: dict.
"""
# ... | c31508cc7ac3e4a717285c2fd082fc6bd7c2eb32 | 3,614,393 |
def plot_iv(*args, **kwargs):
"""Alias for uspy.leem.plotting.plot_intensity() with xaxis set
to "energy"."""
return plot_intensity(*args, xaxis="energy", **kwargs) | 56c59db75e08fe19db5088ae1597f0b0f75e0031 | 3,614,394 |
def snapgene_file_to_gbk(read_file_object, write_file_object):
"""Convert a file object."""
def analyse_gs(dic, *args, **kwargs):
"""Extract gs block in the document."""
if "default" not in kwargs:
kwargs["default"] = None
for arg in args:
if arg in dic:
... | 2c21f6d00b41917a46316c7d8bd550e69457a752 | 3,614,395 |
import token
import logging
def get_total_click(link):
"""
Requests the total number of clicks at the moment
: param link: Byt.ly link for verification
: return: number of clicks
"""
params = {
'unit': 'day',
'units': '-1'
}
url = f'https://api-ssl.bitly.com/v4/bitli... | 3d2c7f62cb47fd52ae01ee4364619ac830b49cb6 | 3,614,396 |
from typing import Dict
def get_default_retries() -> Dict[Retry, RetryConfig]:
"""Returns all default retry values."""
return {
Retry.PORT_INFO: set_retry(count=25, seconds_between=1),
Retry.JUPYTER_JSON: set_retry(count=15, seconds_between=1),
Retry.SCHEDULER_CONNECT: set_retry(count=... | b05e214e145d0118fb3d589f0041e4f6b2410ca9 | 3,614,397 |
from typing import Any
def tsv_escape(x: Any) -> str:
"""
Escape data for tab-separated value (TSV) format.
"""
if x is None:
return ""
x = str(x)
return x.replace("\t", "\\t").replace("\n", "\\n") | febefd579773aa4deea90e589114d39c5b8a4784 | 3,614,398 |
import yaml
import requests
def create_dataset(connection_key: str, yaml_path: str):
"""
Create a dataset in fidesops given a YAML manifest file.
Requires the `connection_key` for the PostgreSQL connection, and `yaml_path`
that is a local filepath to a .yml dataset Fides manifest file.
Returns the... | 0eca5f219f542d3eca2a69d2faab142531e1f149 | 3,614,399 |
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