content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def buildstamp(p5_connection=None):
"""
Syntax: srvinfo buildstamp
Description: Returns the build time-stamp of the P5 release
Return Values:
-On Success: The build time-stamp
"""
method_name = "buildstamp"
return exec_nsdchat([module_name, method_name], p5_connection) | 8d8c7a8ee6821fea618af2caafc765c0efca1a5d | 38,419 |
def changeoOb(attrname, G, A, i):
"""change statistic for binary exogenous attribute oOb (outcome
attribute related to binary attribute on same node)
[*]
"""
return 0 if G.binattr[attrname][i] == NA_VALUE else G.binattr[attrname][i] | 6b97269fe2f1490bff632868c10e03160caaf421 | 38,420 |
def is_cli_command(ctx: Context) -> bool:
"""
Check if command is run from CLI
Args:
ctx: Click context object
Returns:
True if run as CLI command, False otherwise
"""
return ctx.parent.info_name == "model-navigator" | c6121dd742e2c2a3a0c3b4b5863d73d8d0fde658 | 38,421 |
import random
def is_prime_mr(n):
"""
Miller-Rabin primality test.
A return value of False means n is certainly not prime. A return value of
True means n is very likely a prime.
Source: http://rosettacode.org/wiki/Miller-Rabin_primality_test#Python
>>> is_prime_mr(2)
True
>>> is_pri... | 48a9ea5f8708b56199cdf36dc0affe5d84c113a9 | 38,423 |
def lat_lon2point(df):
"""Create shapely point object of latitude and longitude."""
return Point(df['Wikipedia', 'longitude'], df['Wikipedia', 'latitude']) | f430d9532c52eb11ec05f6a2cbddd2d5600c9413 | 38,425 |
from typing import OrderedDict
def _get_exp_uri():
"""Return expected basic result for OpenUri action."""
return OrderedDict(
(
("@type", "OpenUri"),
("name", "Open URL"),
(
"targets",
[OrderedDict((("os", "default"), ("uri", "http://... | a3e527a52769083fd7adb8cf04a27ebcfc272922 | 38,426 |
def save_json(node):
"""Load tvm object as json string.
Parameters
----------
node : Node
A TVM Node object to be saved.
Returns
-------
json_str : str
Saved json string.
"""
return _api_internal._save_json(node) | 0c9a2b18d18bf2357a2a539f2941972dd4e810ce | 38,427 |
import re
import string
def normalize_text(s):
"""Lower text and remove punctuation, articles and extra whitespace."""
def remove_articles(text):
return re.sub(r"\b(a|an|the)\b", " ", text)
def white_space_fix(text):
return " ".join(text.split())
def remove_punc(text):
exclude = set(string.punc... | d619ed0c963997e90dc57a8fad951a4555b5c304 | 38,428 |
def computeBits(image, start, end, newName):
""" Compute the bits of an image
:param start: start bit
:type start: int
:param end: end bit
:type end: int
:param newName: new name for the band
:type newName: str
:return: A function which single argument is the image and returns a single
... | 5a741e4cc8f14fa914b914bb9a237ee2768b1d76 | 38,429 |
import getpass
def get_html_connector_kwargs_options_from_args(args):
"""Take a parsed ArgumentParser and return a dict of argument."""
if not args.password:
args.password = getpass.getpass(
"Please enter the password for {} with login {}:\n".format(args.url, args.login)
)
retu... | d96f070363c6db33632974028b6363cbad739537 | 38,430 |
def benchmark(problems, algorithms, stop_criterion, runs=10, seeds=None):
"""A function to perform multiple algorithms on multiple soltions.
Note that the problems, algorithms and the stop criterion all need to have
the method reset method properly implemented for this function to work
properly. The lo... | 5ed084bf1e3fb2ba55a579e1ed5a3314721d1559 | 38,431 |
def list_huisnummers_adapter(obj, request):
"""
Adapter for rendering a list of
:class:`crabpy.gateway.crab.Huisnummer` to json.
"""
return {
'id': obj.id,
'status': {
'id': obj.status.id,
'naam': obj.status.naam,
'definitie': obj.status.definitie
... | bcc48d753e5c51581b34d7f5f695ae1f1ae744c1 | 38,432 |
def fetch_production(zone_key, session=None, target_datetime=None, logger=None):
"""
Requests the last known production mix (in MW) of a given country
Arguments:
zone_key (optional) -- used in case a parser is able to fetch multiple countries
session (optional) -- request session passed in orde... | e23234553a0da497415488e3c15e2e62b00cc779 | 38,433 |
def generate_vocab_from_token_count(token_count,
max_vocab_size=1000000,
min_count=0,
unk_tk=UNK_TK,
start_tk=START_TK,
decode_tk=DECODE_TK,... | 11b7fb52db85302353ffb5128ee04a2cd6958d1e | 38,434 |
from typing import Optional
from typing import Dict
def timesketch_list_saved_searches(
data: Optional[Text] = '') -> Dict[str, api_search.Search]:
"""List up all available saved searches.
Args:
data (str): Not used.
Returns:
A dict with a list of available saved searches.
"""
connect()
stat... | c575d1c6ef6b66a371c1b3370b9f954fb2688bb5 | 38,435 |
def get_coords(gals):
"""
Takes list of galaxies and looks up their coordinates by name.
If no name found: warn, skip, remove galaxy from list
Returns:
gals: list of galaxies minus those that weren't found
start_coord: list of coordinates corresponding to center of g... | 904405f70611b4fcc38f2f963f36b9d63dd98e6f | 38,437 |
def yesnoquery(message):
"""
Displays `message` and waits for user Y/N input.
Returns Boolean where true means Y.
"""
useryn = None
while useryn is None:
if not isinstance(message, str):
raise ValueError("Must pass a valid string to query")
useryn =... | 87ec3cb01e4a2e52ce1cd900e5446cbab9a05373 | 38,438 |
def material():
"""
Factory associated with PowerLaw3D.
"""
return PowerLaw3D() | 5340bdd546d9c804a12ac0a9bbf446a4859ce2bb | 38,439 |
def formatExtendedTraceback(exc):
"""Format a traceback for the given exception as a string.
The traceback will include the source line of each frame, as usual, but
also the values of local variables in the frames.
"""
return ''.join(listExtendedTraceback(exc)).rstrip('\n') | 567274bd8cfef86e8070c659d470edbc5e793ade | 38,440 |
def _normalize_ad_ts_sid(df, ndays=0, nhours=8, target_tz='utc'):
"""规范`asof_date`、`timestamp`、`sid`
操作：
股票代码 -> sid(int64)
date(date) -> asof_date(timestamp)
date(date) + ndays -> timestamp(timestamp)
确保timestamp >= asof_date
"""
if AD_FIELD_NAME in df.columns:
... | 19fa72d33128ba4684c388db6fb1e63062c85c26 | 38,441 |
def lnLikelihoodGaussian(parameters, values, errors, weights=None):
"""
Calculates the total log-likelihood of an ensemble of values, with
uncertainties, for a Gaussian distribution.
INPUTS
parameters : model parameters (see below)
values : data values
errors : data unc... | 17d1cdf00a841fae15f9f77616bc4b6c5fdb39ce | 38,443 |
def g(r, r_i, r_c, a, gamma):
"""
Non-orthogonalized radial functions
"""
def g_(r, r_i, r_c, a):
return (r-r_i)**(2)*(r_c-r)**(a+2)*np.exp(-gamma*(r/r_c)**(1/4))
# return (r-r_i)**(5)*(r_c-r)**(a+2)
r_grid = np.arange(r_i, r_c, (r_c-r_i)/1e3)
N = np.sqrt(np.sum(g_(r_grid,r_i,r_... | fbfcf68470f0b8198f4697bf1079bd4009c3259d | 38,444 |
def formatProccessingTime(ss, verbose: int = 1, estimate: bool = True, keep_seconds=False):
""" Format processing time to string
Args:
ss: Time in seconds or a string
"""
if isinstance(ss, (str, bytes)):
res = ss
else:
if ss < 0:
res = '-1'
elif ss < 60:
... | a2bea60365530169013322f8a767c9da3cc44c31 | 38,445 |
def lorenz(xyz, t, sigma, beta, rho):
"""The most famous of the strange attractors."""
x, y, z = xyz
dx = sigma * (y - x) # dt
dy = x * (rho - z) - y # dt
dz = x * y - beta * z # dt
return dx, dy, dz | 4241c36b8d4b924289edaa522a49855949208327 | 38,446 |
def seq_to_array(seq, k=1, overlap=True):
"""Converts a DNA sequence into a Numpy vector. If :math:`k>1`, then it
creates a vector of the :math:`k`-mers.
Args:
seq (~skbio.sequence.DNA or str): The sequence to convert.
k (int, optional): The :math:`k` value to use. Defaults to 1.
ov... | 8a236536f85c49c8da217e8fd6b50f5f6051e64c | 38,447 |
import copy
def add_classes_to_geojson(geojson, class_map):
"""Add missing class_names and class_ids from label GeoJSON."""
geojson = copy.deepcopy(geojson)
features = geojson['features']
for feature in features:
properties = feature.get('properties', {})
if 'class_id' not in properti... | 9aadf15fbe64995e7e52b2f6182e76ab722f06b5 | 38,448 |
import math
def calNewGeoLocationNE(initialPOINT, yNORTH, xEAST):
"""
This function is used to calculate new GEO Point which is 'y' meters north and 'x' meters east of a Reference point.
Knowing the lat/long of reference point and y and x distance , it returns a POINT class object with new location lat/long value... | 3116856f253984dc89a6fb10889a1ac24d955072 | 38,449 |
from typing import Set
from typing import Tuple
def cfpq_matrix(
graph: MultiDiGraph,
cfg: CFG,
start_nodes: Set[int] = None,
final_nodes: Set[int] = None,
start_var: Variable = Variable("S"),
) -> Set[Tuple[int, int]]:
"""
Context-Free Path Querying based on Matrix Multiplication
Par... | 647d7110c2bed1403e36cc0208f62849e809cbbb | 38,452 |
from typing import Optional
def filter_reg(reg: IRParam) -> Optional[Register]:
"""Filters a possible register object. returns None if not a register."""
if isinstance(reg, Dereference) and isinstance(reg.to, Register):
return reg.to
if isinstance(reg, Register):
return reg
return None | f39e10d08ba5265496663dd64e849562f9918a09 | 38,455 |
def get_init_data(file_name):
"""
Args:
file_name:
Returns: camera starting position, imu starting position
"""
init_file = INIT_PATH + file_name + '.json'
init_data = read_json_file(init_file)
return init_data['cam_start'], init_data['imu_start'] | 52e2d7afd3b0667a122c857205db86a29ad048b6 | 38,456 |
import re
def get_aspect_ratio (video_source_filename):
"""This returns the aspect ratio of the original video.
This is usualy 1.78:1(16/9) or 1.33:1(4/3).
This function is very lenient. It basically guesses 16/9 whenever
it cannot figure out the aspect ratio.
"""
cmd = "mplayer '%s' -vo png -... | a71b642f64464f0675a9d3c20b610ccfb55df426 | 38,457 |
from typing import Dict
from typing import Any
from typing import Callable
def ot3_remote_everything_commit_id(
ot3_default: Dict[str, Any], robot_set_source_type_params: Callable
) -> RuntimeComposeFileModel:
"""Get OT3 configured for local source and local robot source."""
return robot_set_source_type_p... | 9b4511e83d31b2e58c046447ed87569e9721ffba | 38,458 |
from typing import Union
import random
def pick_typo(next_letter: str) -> Union[str, None]:
"""Picks a typo according to the next letter to type.
This function uses `is_typo()` to determine wether or
not there will be a typo.
Plausible typos are defined in the `PLAUSIBLE_TYPOS`
global variable. ... | a0f310f04d57e97d85afbdcaa6074a71eed324ff | 38,459 |
def _get_tag_by_name(tag_name: str, auth_id: int, db: Session):
""" Returns tag data by passing the tag name
Args:
tag_name (str): Tag Name
auth_id (int): User Id
db (Session): sqlAlchemy connection object
Returns:
sql_object : Tag data
"""
return db.query(TagDB).fi... | 47ea0ec8572fdeec0005ffb0e8d132855db09336 | 38,460 |
def sshconnect_ex1(ssh: SSH):
"""
SSH example using :class:`ssh2.SSHConnect` with SSH configuration
file (:code:`~/.ssh/config`).
"""
return ssh.execute("ls -l") | 4ee656143e5d8fde85dd4bff264775a09c7f0f56 | 38,461 |
def list_org_inner_pub_repos(org_id, username, start=None, limit=None):
"""
List org inner pub repos, which can be access by all org members.
"""
try:
shared_repos = seafserv_threaded_rpc.list_org_inner_pub_repos(org_id)
except SearpcError:
shared_repos = []
for repo in shared_r... | df00f7dd9a7c7b05246ad6663eae4697aede4b53 | 38,462 |
import sqlite3
def select_special_student(sql_special):
"""
特殊sql语句的查询 并将其结果封装为Student类型的列表
:param sql_special: 特殊的sql条件
:return: list(Student)
"""
if sql_special is None:
return None
connection = sqlite3.connect(r'sqlite/student_system.db')
cursor = connection.cursor()
# ... | bacec7fe8628c78d3911bdf20a18c5f2bd7759ef | 38,463 |
def gauss(x, a, b, c):
"""
generate a Gaussian function
Parameters
----------
x : array like
x coordinates.
a : float
amplitude (centeral height).
b : float
center.
c : float
sigma.
Returns
-------
y
y = Gaussian(x | a, b, c).
""... | 99d14f51d17488dcb216c92754c97303c2b64295 | 38,464 |
import re
def replace_urls(text, filler='<url>'):
"""Replaces URLs in text with `f' {filler}'`.
Potentially induces duplicate whitespaces.
Includes punctuation in websites
(which is not really a problem, because URLs on Twitter are rendered
as https://t.co/randomnum).
The regex doesn't account... | 0556120c0b8ab8a888acad550cb4cad24c5961ae | 38,465 |
from typing import Dict
from datetime import datetime
import urllib
import hmac
import hashlib
import base64
def create_signature_v2(
api_key,
method,
host,
path,
secret_key,
get_params=None
) -> Dict[str, str]:
"""
创建签名
:param get_params: dict 使用GET方法时附带的额外参数(urlparams)
:retur... | 6ff58204372f07085fae99fcce418638b1e8b30c | 38,466 |
def solution(X, A):
"""Find the earliest time that a frog can jump to position X.
In order to reach X, a leaf must be present at every position from 1 to X.
Args:
X (int): The position that the frog must reach.
A (list): A list of integers from 1 to X, where A[k] represents a leaf
... | d1fec5a3ec4c6dc06cd0feab295c90cb4c920ced | 38,467 |
import math
def moments_get_orientation(m):
"""Returns the orientation in radians from moments.
Theta is the angle of the principal axis nearest to the X axis
and is in the range -pi/4 <= theta <= pi/4. [1]
1. Simon Xinmeng Liao. Image analysis by moments. (1993).
"""
theta = 0.5 * math.atan... | 0b75e86e324dccd5fe2c4332dfeb15d63a417b9b | 38,469 |
def load_sklearn_bc_dataset():
"""
Helper to load sklearn dataset into a pandas dataframe
Returns:
pd.DataFrame: X and y combined
"""
dataset = load_breast_cancer()
df = pd.DataFrame(data=pd.np.c_[dataset['data'], dataset['target']],
columns=(dataset['feature_names... | 39ac7c63099971fce732f18d6051c0ac3f250a36 | 38,470 |
def get_select_form_layout(id, options, label, description):
"""Creates a select (dropdown) form with provides details
Parameters
-----------
id: str
id of the form
options: list
options to show
label: str
label of the select dropdown bar
description: str
lon... | d019943048679ec0dfb15150d5df26ddd1c2ff21 | 38,471 |
def visualise_sampling_grid(X_sampled, gridsize=3):
"""Show how herding algorithm samples the datapoints
Using X_sampled, which is the original design matrix with rows
permuted such that X_sampled[i] is the i'th row chosen by the sampling
algorithm. This enables calculating X_sampled by arbitrary algor... | efed02bf1f58b1d01d5fe087eb3f1838b606952b | 38,472 |
def serialize_ip_block(block):
"""
Serialize an IP block to protobuf string.
Args:
block (ipaddress.ip_network): object to serialize
Returns:
serialized (bytes): serialized object
"""
proto = IPBlock(
version=_ip_version_int_to_proto(block.version),
net_address=b... | 9344c35f51d6ecaa7803f9198b8e0451bb78caaf | 38,473 |
def DeWeWriteCAN(nBoardNo, CanFrameList):
"""Dewe write CAN"""
if f_dewe_write_can is not None:
n_real_frame_count = c_int()
n_frame_count = len(CanFrameList)
p_can_frames = (BOARD_CAN_FRAME * n_frame_count)()
i = 0
for CanFrame in CanFrameList:
p_can_frames[... | bb3eb6ddc28cd43ed9c9a70457626e92496d6a77 | 38,475 |
def get_article_case(article, word):
"""Determines the correct article casing based on the word casing"""
return article.capitalize() if word[0].istitle() else article | 603810cb60c3719c102afe024cdc0ce474d37bfa | 38,476 |
def calc_DM(seg):
"""
Computes NON-SIGNED Distance Map of input ground truth image or volume using scipy function.
In case seg is 3D volume, it separately computes 2D DM fo each single slice.
Args:
seg: 2D or 3D binary array to compute the distance map
Returns:
res: distance map
... | f707db2ca620a62f994f04360c96450fa855d0e3 | 38,477 |
def get_valid0(cfg: Config):
"""
Simple network with all inputs and all outputs used.
Configuration:
0 1
/ |
2 \
/ \ |
-1 -2 -3
"""
# Create a dummy genome
genome = Genome(
key=0,
num_outputs=cfg.genome.num_outputs,
... | c52c72285ee8b364ecafed330d9348de79a38198 | 38,478 |
from typing import List
def get_dependents_auto(tensor: tf.Tensor, candidates: List[tf.Tensor]) -> List[tf.Tensor]:
"""Return the nodes in `candidates` that `tensor` depends on.
Args:
tensor ():
candidates ():
"""
try:
dependent_ops = all_parents(tensor.op)
except RuntimeE... | 2b1a5143a3c2faf54a7e5bb42093e7fde41d512c | 38,479 |
def gram_matrix(input_tensor):
"""
Computes the outer-product of the input tensor x.
Input:
- x: input tensor of shape [H,W,C]. We reshape it to [C (H, W)]
Returns:
Tensor of shape [C,C] corresponding to the Gram matrix
Your code goes here
"""
channels = int(input_tensor.shape[... | e7db0bcae972331146958b02eac3e0e23fae87cc | 38,480 |
def false_positive_rate(context,
positive_class,
penalty_loss=defaults.DEFAULT_PENALTY_LOSS,
constraint_loss=defaults.DEFAULT_CONSTRAINT_LOSS):
"""Creates an `Expression` for a multiclass false positive rate.
The result of this function repres... | ece9d7d9f40d6b52af1efc1f168186698c3ec94f | 38,481 |
from typing import List
import re
from pathlib import Path
def check_missing_pictures(document: Document, args: Args) -> List[Issue]:
"""Check that all pictures files linked in the document exist."""
issues = []
markdown_picture_re = re.compile(r"\s*\!\[.*\]\((.*)\)")
for number, line in enumerate(do... | 92d45dc4895dfcb143ec44a7eda3a8189b1f3155 | 38,484 |
def _load_mesh(path: str):
"""Loads mesh data from numpy file.
Args:
path (str): Path to data file
Returns:
data (np.ndarray): Scaled data (NHWC)
"""
with open(path, "rb") as f:
mesh = np.einsum("abcde->deabc", sio.loadmat(f)["im"])
flattened_mesh = mesh.reshape((-1,) +... | ae46ff174a4efaf8e3accc601ba1ee6d5bfbb989 | 38,485 |
def configure(filename="tuf.interposition.json",
parent_repository_directory=None,
parent_ssl_certificates_directory=None):
"""The optional parent_repository_directory parameter is used to specify the
containing parent directory of the "repository_directory" specified in a
configurati... | 3aca6e4b3fb6bdbd8e909b4b686c7871bf7a9115 | 38,486 |
import xdg
def get_script_folder_name():
"""Returns the folder where Enso commands are found. This function
is responsible for ensuring that this folder exists: it must not
return a path that is not present! It is expected to place this
folder in some platform-specific logical location."""
return x... | 78ff0b66e4198c15f8f0aa9cfa9428415f57db9f | 38,487 |
def CDLHOMINGPIGEON(equity, start=None, end=None):
"""Homing Pigeon
:return:
"""
opn = np.array(equity.hp.loc[start:end, 'open'], dtype='f8')
high = np.array(equity.hp.loc[start:end, 'high'], dtype='f8')
low = np.array(equity.hp.loc[start:end, 'low'], dtype='f8')
close = np.array(equity.hp.... | 26a95084abe3cc418a35db13fd191d8fd544cd04 | 38,488 |
import collections
def deep_convert_to_plain_dict(an_odict):
"""
Recursively convert `an_odict` and any of its dictionary subelements from
`collections.OrderedDict`:py:class: to plain `dict`:py:class:
.. note:: This is naive, in that it will not properly handle dictionaries
with recursive obj... | 0a463981909153d4beee64fbbf5fad489adf78ac | 38,489 |
def mie(r, eps, sig, m=12, n=6):
"""Mie pair potential. """
prefactor = (m / (m - n)) * (m / n)**(n / (m - n))
return prefactor * eps * ((sig / r) ** m - (sig / r) ** n) | 97e96c73c55c9db61f9efe404b26b368090df0bc | 38,490 |
def dpn_conv1x1(in_channels,
out_channels,
stride=1):
"""
1x1 version of the DPN specific convolution block.
Parameters:
----------
in_channels : int
Number of input channels.
out_channels : int
Number of output channels.
stride : int or tuple... | 65e2d408a330050fb45d0b63cced003b443c18e0 | 38,491 |
def _conv2d_legalize(attrs, inputs, arg_types):
"""Legalizes Conv2D op.
Parameters
----------
attrs : tvm.ir.Attrs
Attributes of current convolution
inputs : list of tvm.relay.Expr
The args of the Relay expr to be legalized
types : list of types
List of input and output ... | 912b8f144a0c00ba5fa4985fbfadcc8d13d334a9 | 38,492 |
def smooth_good_regions_repeatedly(blob_id, repeated_smoothings=5,
spine_order=SPINE_ORDER,
spine_window=SPINE_WINDOW,
time_order=TIME_ORDER,
time_window=TIME_WINDOW,
... | ed16652137854607b3afa224975c3b80c9965fcc | 38,493 |
def mean_filter(dem, kernel_radius):
"""Applies mean filter (low pass filter) on DEM. Kernel radius is in pixels. Kernel size is 2 * kernel_radius + 1.
It uses matrix shifting (roll) instead of convolutional approach (works faster).
It returns mean filtered dem as numpy.ndarray (2D numpy array)."""
radi... | 1bbac4841ab35a38045083cdabd70a5371e97f87 | 38,494 |
def _members_geom_lists(relation_val, footprints):
"""
Add relation members' geoms to lists.
Parameters
----------
relation_val : dict
members and tags of the relation
footprints : dict
dictionary of all footprints (including open and closed ways)
Returns
-------
tu... | a0ccf10ef75c381b5839cf8e17ba304a7488ecda | 38,495 |
import numpy as np
def hits_numpy(G,normalized=True):
"""Return HITS hubs and authorities values for nodes.
The HITS algorithm computes two numbers for a node.
Authorities estimates the node value based on the incoming links.
Hubs estimates the node value based on outgoing links.
Parameters
... | b202749cad4550f094f7a5908c4d0e835920acd1 | 38,496 |
def InputFunc():
"""
InputFunc [This Function is used to take declare input.]
Returns:
[int]: [windowSize]
[int]: [dataBits]
[int]: [Timeout]
"""
dataStr = '1010010011'
dataStr = " ".join(dataStr)
windowSize = 4
# Makes the input string to a list
dataBits = [... | ec9426e20774d093459e752c128a103886b7b514 | 38,497 |
def httpResponse(graph, uri):
"""HTTP response: FAIR metadata in RDF and JSON-LD formats"""
accept_header = request.headers.get('Accept')
fmt = 'turtle' # default RDF serialization
mime_types = {
'text/turtle': 'turtle',
'application/rdf+xml': 'xml',
'application/ld+json': 'json... | b3f9d07d3c7a610a3b09a601e4a988e95488e4c5 | 38,498 |
def reaction(
func=None, # type: Optional[Callable[[_BO, Action, Phase], None]]
priority=None, # type: Optional[int]
):
# type: (...) -> Union[CustomReaction, ReactionDecorator]
"""
Decorates an object's method into a custom reaction.
Reaction methods are called automatically when an action pr... | 1dab9c52aa3d381e7ad418851b5d75aa5c96af8e | 38,499 |
def delete_report(repo, username=None, namespace=None):
"""Delete a report from a project."""
repo = flask.g.repo
form = pagure.forms.ConfirmationForm()
if form.validate_on_submit():
report = flask.request.form.get("report")
reports = repo.reports
if report not in reports:
... | d3cee0f0702b3a48559782b01b426bb0f4975de7 | 38,500 |
import math
def fuzzifier_determ(D: int, N: int) -> float:
"""The function to determ the fuzzifier paramter of fuzzy c-means
"""
return 1 + (1418 / N + 22.05) * D**(-2) + (12.33 / N + 0.243) * D**(-0.0406 * math.log(N) - 0.1134) | 3bf0f85a74400c19fae74349ea651eba8b600697 | 38,502 |
from typing import List
def _is_paired(ordered_list: List[int]) -> bool:
"""Check whether values are paired in ordered_list."""
consecutive_comparison = [
t == s for s, t in zip(ordered_list, ordered_list[1:])
]
return (all(consecutive_comparison[0::2]) &
(not any(consecutive_comparison[1::2])... | ba7052de513bcc7bf274e38005c459715e9f60b8 | 38,503 |
def rgb_to_gray(image, three_channels=False):
"""Converts a 3 channel RGB image to a 1 channel grayscale image.
Args:
image: Rank 3 float32 tensor containing 1 image -> [height, width, 3]
with pixel values varying between [0, 1].
Returns:
image: A single channel grayscale image -> [image, hei... | 89b3bf7dab7b94ff21be046e72895e2326819abe | 38,504 |
def get_largest_partition_size(ns, device):
"""
Returns size of the largest free region (in blocks), which can accommodate
a partition on given device.
There must be partition table present on this device.
:type device: LMIInstance/CIM_StorageExtent or string
:param device: Device which should... | 104c1bd8626236fbd0983f6280213c0a15785f41 | 38,505 |
def steps(number):
"""
Count steps needed to get to 1 from provided number.
:param number int - the number provided.
:return int - the number of steps taken to reach 1.
"""
if number < 1:
raise ValueError("Provided number is less than 1.")
steps = 0
while number != 1:
s... | 8681691946b5ba2d261a1ae753d2a04c46ac1719 | 38,507 |
def labs(**kwargs):
"""
Change plot title, axis labels and legend titles.
Parameters
----------
kwargs : dict
A list of new name-value pairs where name should be an aesthetic,
e.g. title='Plot title' or aesthetic='Scale label'.
Returns
-------
`FeatureSpec` or `FeatureS... | 45c0038e694b730a92d35c407ddb4a4cb639647b | 38,508 |
def nested_dict_values(d):
"""
Extracts all values from a nested dictionary
"""
listvals = list(nested_dict_gen(d))
listvals_unwrapped = []
for l in listvals:
if type(l) == list or type(l) == np.ndarray:
for ll in l:
listvals_unwrapped.append(ll)
else:... | cfeb0a5fb782240e622b3dd21a47ce10143af569 | 38,509 |
import numpy
def _get_sr_pod_grid(success_ratio_spacing=0.01, pod_spacing=0.01):
"""Creates grid in SR-POD space
SR = success ratio
POD = probability of detection
M = number of rows (unique POD values) in grid
N = number of columns (unique success ratios) in grid
:param success_ratio_spacin... | 6349afbecc8994c1078f2fa019a5a721862b0d15 | 38,511 |
from typing import Optional
from typing import Set
async def all_upcoming_broadcasts(
seconds: Optional[int] = None,
) -> Set[TextChannel]:
"""All upcoming broadcast channels that have yet to be announced. If minutes are
given, then it will only mention the events comming up in the given number of minutes... | bdb52910824a284b89676d3b2b2bc7a296353b50 | 38,512 |
def jd2iso(jd):
"""Convert a Julian date into an ISO 8601 date string representation"""
return astropy.time.Time(jd, format='jd', scale=time_scale, precision=0).iso | 6c8111d78adff702a22347c2cf1855ceddcc8d55 | 38,513 |
def MakeOnnxInputsOutputs(name, elem_type, shape, **kwargs):
"""Wrapper for creating onnx graph inputs or outputs
name, # type: Text
elem_type, # type: TensorProto.DataType
shape, # type: Optional[Sequence[int]]
"""
if elem_type is None:
elem_type = onnx_pb.TensorProto.UNDEFI... | e9fc478ff715584752e5ed69ec2c9c826ce76a9d | 38,514 |
def geom_lst_to_gdf(lst):
"""Convert geometry or geometry list to gdf.
Args:
lst (geometry|list(geometry)): The geometry or geometries.
Returns:
gpd.GeoDataFrame: The geodataframe.
"""
if not isinstance(lst, list):
lst = [lst]
return gpd.GeoDataFrame( {'ge... | 5189e77a5c4d1701aaee6feea5b4f1b80a86c0e4 | 38,515 |
def build_get_enum_valid_request(
**kwargs # type: Any
):
# type: (...) -> HttpRequest
"""Get enum array value ['foo1', 'foo2', 'foo3'].
See https://aka.ms/azsdk/python/protocol/quickstart for how to incorporate this request builder
into your code flow.
:return: Returns an :class:`~azure.core... | 654c0de7e0efc219406e42f6395ed214aa92aeb5 | 38,516 |
import scipy
def ks_2samp(data1, data2):
"""
Computes the Kolmogorov-Smirnov statistic on 2 samples.
This is a two-sided test for the null hypothesis that 2 independent samples
are drawn from the same continuous distribution.
Parameters
----------
a, b : sequence of 1-D ndarrays
tw... | 58854c49fe6adbbc747579f5c38c00673430d21d | 38,517 |
def list_shows():
"""
return all the shows
"""
shows = ShowRun.query.all()
ret = []
for show in shows:
ret.append({'show_id': show.id,
'show_date': show.created_date,
'show_status': show.status.name})
return jsonify({'date': ret}) | 2008646c0c911de0012a5cfc4e6187c2e0406c2f | 38,518 |
from typing import Dict
import re
def _replace_spec_toks(mthd: str, spec_toks: Dict[str, str]) -> str:
"""
Performs the replacement of special tokens by the original ones
"""
spec_toks = spec_toks.copy()
# Add special tokenizer tokens -> deleted for code analysis
spec_toks['<bos>'] = ""
sp... | 0c1b9ec96880c2c488952f238dd146719398cbcd | 38,519 |
def redirect_to_user_chat(markup: ReplyKeyboardMarkup):
"""
Clean the bot commands from the group chat and send the message to a user.
Args:
markup: ReplyKeyboardMarkup
Returns:
None
or
Calls decorated function if in the user's chat.
"""
def decorator(func):
... | c8feae1ed2e3f3b5e44309b17f04dc54ba7c6e30 | 38,520 |
def run_intcode(memory, input_list):
"""Run an Intcode program from memory and return the result"""
instr_ptr = 0
input_ptr = 0
output = None
while instr_ptr < len(memory):
instruction = memory[instr_ptr]
digits = list_digits(instruction)
# extract opcode
opcode_pair... | 0941d13400ca170714d41476d6cf72a4942e9c97 | 38,521 |
from typing import Union
from typing import Optional
def get_kubeflow_value(
tfx_value: Union[int, float, str, Text]) -> Optional[pipeline_pb2.Value]:
"""Converts TFX/MLMD values into Kubeflow pipeline Value proto message."""
if tfx_value is None:
return None
result = pipeline_pb2.Value()
if isinstan... | 5f579f5b34261dad2f753d73dd5fe4c36cf34d8f | 38,522 |
def read_parquet(
path,
engine: str = "auto",
columns=None,
storage_options: StorageOptions = None,
use_nullable_dtypes: bool = False,
**kwargs,
):
"""
Load a parquet object from the file path, returning a DataFrame.
Parameters
----------
path : str, path object or file-like... | ea8264bbda6293a07059a7a0ebd85c15a844bdf1 | 38,523 |
import torch
def calculate_cis_nominal(genotypes_t, phenotype_t, residualizer=None, return_af=True):
"""
Calculate nominal associations
genotypes_t: genotypes x samples
phenotype_t: single phenotype
residualizer: Residualizer object (see core.py)
"""
p = phenotype_t.reshape(1,-1)
r_no... | ad73cdcb962f7108761833a83e847e1dcaf9b249 | 38,524 |
def get_ver():
"""Read out the version number of the radio"""
return radio_get_ver_fn() | 03b20e4c4e60807327f593f36605fa651350a1af | 38,525 |
def get_entities_list(token, aiid):
"""Returns a list of all entities for an AI"""
return fetch_api('/entities/{aiid}', token=token, aiid=aiid) | d660e56c9e94e1ae587b037571e9120df5acf8bd | 38,526 |
def read_P23_from_sequence(file):
""" read P2 and P3 from a sequence file calib_cam_to_cam.txt
"""
P2 = None
P3 = None
with open(file, 'r') as f:
for line in f.readlines():
if line.startswith("P_rect_02"):
data = line.split(" ")
P2 = np.array([floa... | eb4e334a8dfac11c86d837640b47f3a48880af90 | 38,527 |
def openConnection():
"""
Method that starts a connection with the database
:return: the driver for the connection
"""
connection = nj.GraphDatabase.driver(
uri=URI, auth=nj.basic_auth(USER, PASSWORD))
return connection | 35db801d44e143007c0972747380e942fbbdee0f | 38,528 |
from .views import item_methods
def resource_view_attrs(raml_resource, singular=False):
""" Generate view method names needed for `raml_resource` view.
Collects HTTP method names from resource siblings and dynamic children
if exist. Collected methods are then translated to
`nefertari.view.BaseView` ... | 63f2687b0e0fdde3d3749dade2a706818ac9acce | 38,529 |
def total(inarray, axis, type='meanclip'):
"""
Collapse 2-D array in one dimension.
.. note:: MYTOTAL routine from ACS library.
Examples
--------
>>> collapsed_array = total(inarray, 1, type='median')
Parameters
----------
inarray : array_like
Input 2-D array.
axis : ... | f3083d53eea18303594d21fff53073c79a84e9dc | 38,530 |
def check_rack_shape_match(source_shape, target_shape,
row_count, col_count,
translation_behaviour=None):
"""
Checks whether two rack shape match the given rack transfer or translation
behaviour.
:Note: One-to-one translations can not be discovered ... | 273691fca54b93ab8725b4c5f2e89e00cec03d4b | 38,531 |
def deny_request( request_id ):
"""Denies a given request for slots
No request params.
"""
try:
req = SlotRequest.get( SlotRequest.id == request_id ).select().join( User ).first()
print(req)
g.user.deny_request( request_id )
rs = RadioStation.get()
send_mail( '{}... | 022485b485172f7501ea021fec9d712c7d6862c0 | 38,532 |
def make_env(rank, seed=0):
"""
Utility function for multiprocessed env.
:param env_id: (str) the environment ID
:param num_env: (int) the number of environments you wish to have in subprocesses
:param seed: (int) the inital seed for RNG
:param rank: (int) index of the subprocess
"""
de... | 00732e1373bd2ca4536f9612ba4ad268b606307b | 38,533 |
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