content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def escape_html(text: str) -> str:
"""Replaces all angle brackets with HTML entities."""
return text.replace('<', '<').replace('>', '>') | f853bcb3a69b8c87eb3d4bcea5bbca66376c7db4 | 3,646,244 |
import random
def pptest(n):
"""
Simple implementation of Miller-Rabin test for
determining probable primehood.
"""
bases = [random.randrange(2,50000) for _ in range(90)]
# if any of the primes is a factor, we're done
if n<=1: return 0
for b in bases:
if n%b==0: return 0... | 3a74cfebb6b14659a34ab0b6c761efd16d2736fa | 3,646,245 |
def schedule_conv2d_NCHWc(outs):
"""Schedule for conv2d_NCHW[x]c
Parameters
----------
outs : Array of Tensor
The computation graph description of conv2d_NCHWc
in the format of an array of tensors.
The number of filter, i.e., the output channel.
Returns
-------
sch ... | a24cb4f6e1dd3d8891bc82df75f53c8afe709727 | 3,646,246 |
def calc_E_E_hs_d_t(W_dash_k_d_t, W_dash_s_d_t, W_dash_w_d_t, W_dash_b1_d_t, W_dash_ba1_d_t, W_dash_b2_d_t,
theta_ex_d_Ave_d, L_dashdash_ba2_d_t):
"""1時間当たりの給湯機の消費電力量 (1)
Args:
W_dash_k_d_t(ndarray): 1時間当たりの台所水栓における節湯補正給湯量 (L/h)
W_dash_s_d_t(ndarray): 1時間当たりの浴室シャワー水栓における節湯補正給湯量 ... | 00cf40b221d2a24081d9c362fb5e8474057ddb93 | 3,646,247 |
import functools
def keras_quantile_loss(q):
"""Return keras loss for quantile `q`."""
func = functools.partial(_tilted_loss_scalar, q)
func.__name__ = f'qunatile loss, q={q}'
return func | 173a9410c2994bd02e5845a85cc2050489ce2d12 | 3,646,248 |
from typing import Mapping
from typing import Union
def _reactions_table(reaction: reaction_pb2.Reaction, dataset_id: str) -> Mapping[str, Union[str, bytes, None]]:
"""Adds a Reaction to the 'reactions' table.
Args:
reaction: Reaction proto.
dataset_id: Dataset ID.
Returns:
Dict ... | b09df06a13d1f1d42ab22da1c6bcc00c48c2e81d | 3,646,250 |
from typing import List
from typing import Dict
from typing import Any
import time
import json
def get_incidents_for_alert(**kwargs) -> list:
"""
Return List of incidents for alert.
:param kwargs: Contains all required arguments.
:return: Incident List for alert.
"""
incidents: List[Dict[str,... | 48d2519d5e5aa25d6b0fc6a6e2c959489e861e1c | 3,646,251 |
def pbar(*args, **kwargs):
"""
Progress bar.
This function is an alias of :func:`dh.thirdparty.tqdm.tqdm()`.
"""
return dh.thirdparty.tqdm.tqdm(*args, **kwargs) | 3de7101becc015e402aa067c676104f34679e549 | 3,646,252 |
import torch
def calc_driver_mask(n_nodes, driver_nodes: set, device='cpu', dtype=torch.float):
"""
Calculates a binary vector mask over graph nodes with unit value on the drive indeces.
:param n_nodes: numeber of driver nodes in graph
:param driver_nodes: driver node indeces.
:param device: the d... | 2d2a08a86629ece190062f68dd25fc450d0fd84e | 3,646,253 |
from typing import List
def all_fermions(fields: List[Field]) -> bool:
"""Checks if all fields are fermions."""
boolean = True
for f in fields:
boolean = boolean and f.is_fermion
return boolean | eb54d5ad5b3667e67634b06d2943e2d14c8a0c61 | 3,646,254 |
def open_file(name):
"""
Return an open file object.
"""
return open(name, 'r') | 8921ee51e31ac6c64d9d9094cedf57502a2aa436 | 3,646,255 |
import math
def _bit_length(n):
"""Return the number of bits necessary to store the number in binary."""
try:
return n.bit_length()
except AttributeError: # pragma: no cover (Python 2.6 only)
return int(math.log(n, 2)) + 1 | bea6cb359c7b5454bdbb1a6c29396689035592d7 | 3,646,256 |
def read_dwd_percentile_old(filename):
"""
Read data from .txt file into Iris cube
:param str filename: file to process
:returns: cube
"""
# use header to hard code the final array shapes
longitudes = np.arange(-179.5, 180.5, 1.)
latitudes = np.arange(89.5, -90.5, -1.)
data ... | 4d8366606c4e00eb43aa2c6a50a735617c7ca242 | 3,646,257 |
import base64
def media_post():
"""API call to store new media on the BiBli"""
data = request.get_json()
fname = "%s/%s" % (MUSIC_DIR, data["name"])
with open(fname, "wb") as file:
file.write(base64.decodestring(data["b64"]))
audiofile = MP3(fname)
track = {"file": data["name"], "title... | ff2aa7df2cdc6ea9bf3d657c7bb675e824639107 | 3,646,258 |
from pathlib import Path
def obtain_stores_path(options, ensure_existence=True) -> Path:
"""
Gets the store path if present in options or asks the user to input it
if not present between parsed_args.
:param options: the parsed arguments
:param ensure_existence: whether abort if the path does not e... | 8bb3ff96cdc57f85058ad7cd3c96552462b8de9f | 3,646,259 |
def compute_roc(distrib_noise, distrib_signal):
"""compute ROC given the two distribributions
assuming the distributions are the output of np.histogram
example:
dist_l, _ = np.histogram(acts_l, bins=n_bins, range=histrange)
dist_r, _ = np.histogram(acts_r, bins=n_bins, range=histrange)
tprs, fp... | d9a970435fd7b0dc79cfb4eca24a6e6779ce9300 | 3,646,261 |
def zoom(clip, screensize, show_full_height=False):
"""Zooms preferably image clip for clip duration a little
To make slideshow more movable
Parameters
---------
clip
ImageClip on which to work with duration
screensize
Wanted (width, height) tuple
show_full_height
S... | 668ef2b598432fc18510a5a69b73e400eec42b17 | 3,646,262 |
import typing
def create(
host_address: str,
topics: typing.Sequence[str]) -> Subscriber:
"""
Create a subscriber.
:param host_address: The server notify_server address
:param topics: The topics to subscribe to.
:return: A Subscriber instance.
"""
return Subscriber(create_... | 40221a3be496528115afdc2eda063a006e08aadd | 3,646,263 |
def solution(n):
"""
Return the product of a,b,c which are Pythagorean Triplet that satisfies
the following:
1. a < b < c
2. a**2 + b**2 = c**2
3. a + b + c = 1000
>>> solution(1000)
31875000
"""
product = -1
d = 0
for a in range(1, n // 3):
"""Solving t... | a0bf0f0bde50f536f6c91f2b52571be38e494cea | 3,646,264 |
def with_metaclass(meta, *bases):
"""A Python 2/3 compatible way of declaring a metaclass.
Taken from `Jinja 2 <https://github.com/mitsuhiko/jinja2/blob/master/jinja2
/_compat.py>`_ via `python-future <http://python-future.org>`_. License:
BSD.
Use it like this::
class MyClass(with_metacla... | 0fe8e95fe29821e4cda8b66ff54ddd1b73e51243 | 3,646,266 |
def energy(particles):
"""total kinetic energy up to a constant multiplier"""
return np.sum([particle.size ** 2 * np.linalg.norm(particle.speed) ** 2 for particle in particles]) | 29cae5c46d053f6fa558ba7a839d8b647c86d236 | 3,646,267 |
def post_adaptation_non_linear_response_compression_matrix(P_2, a, b):
"""
Returns the post adaptation non linear response compression matrix.
Parameters
----------
P_2 : numeric or array_like
Point :math:`P_2`.
a : numeric or array_like
Opponent colour dimension :math:`a`.
... | 6b7f8bcc62142e99c63c0e7a9b073e25f3c36e8c | 3,646,268 |
def forward(network, x):
"""
入力信号を出力に変換する関数
Args:
network: ネットワークのDict
x: Inputの配列
Returns:
出力信号
"""
w1, w2, w3 = network['W1'], network['W2'], network['W3']
b1, b2, b3 = network['B1'], network['B2'], network['B3']
# 1層目
a1 = np.dot(x, w1) + b1
z1 = si... | 93c79a049e4c45f31a502aa81f840e48ff41d229 | 3,646,269 |
from typing import List
def join_with_and(words: List[str]) -> str:
"""Joins list of strings with "and" between the last two."""
if len(words) > 2:
return ", ".join(words[:-1]) + ", and " + words[-1]
elif len(words) == 2:
return " and ".join(words)
elif len(words) == 1:
return ... | ecb2c1fa060657f2ea4173c4382a81c9b42beeb9 | 3,646,270 |
from nipype.interfaces.base import Bunch
def condition_generator(single_sub_data, params_name, duration = 2):
"""Build a bunch to show the relationship between each onset and parameter
Build a bunch for make a design matrix for next analysis. This bunch is for describing the relationship
between each ons... | 6a4743043a49b6a1703c3b42840256a58e07f3bd | 3,646,271 |
from typing import Callable
from typing import Any
def one_hot(
encoding_size: int, mapping_fn: Callable[[Any], int] = None, dtype="bool"
) -> DatasetTransformFn:
"""Transform data into a one-hot encoded label.
Arguments:
encoding_size {int} -- The size of the encoding
mapping_fn {Callabl... | 48758666885969c10b5e6ef46f2d392cd06800a2 | 3,646,273 |
def is_url_relative(url):
"""
True if a URL is relative, False otherwise.
"""
return url[0] == "/" and url[1] != "/" | 91e1cb756a4554973e53fd1f607515577bc63294 | 3,646,274 |
def _split_link_ends(link_ends):
"""
Examples
--------
>>> from landlab.grid.unstructured.links import _split_link_ends
>>> _split_link_ends(((0, 1, 2), (3, 4, 5)))
(array([0, 1, 2]), array([3, 4, 5]))
>>> _split_link_ends([(0, 3), (1, 4), (2, 5)])
(array([0, 1, 2]), array([3, 4, 5]))
... | 3aee58b5e4e928d45a33026c0b9e554c859d0d6f | 3,646,276 |
from heapq import heappop, heappush
def dijkstra(vertex_count: int, source: int, edges):
"""Uses Dijkstra's algorithm to find the shortest path in a graph.
Args:
vertex_count: The number of vertices.
source : Vertex number (0-indexed).
edges : List of (cost, edge) (0-indexed... | d33f8dc28bf07154ffd7582a5bdd7161e195f331 | 3,646,277 |
def plot_labels(labels, lattice=None, coords_are_cartesian=False, ax=None, **kwargs):
"""
Adds labels to a matplotlib Axes
Args:
labels: dict containing the label as a key and the coordinates as value.
lattice: Lattice object used to convert from reciprocal to Cartesian coordinates
... | b0172061e043fcaef38d2503be67333862da3acf | 3,646,279 |
def contains(poly0, poly1):
""" Does poly0 contain poly1?
As an initial implementation, returns True if any vertex of poly1 is within
poly0.
"""
# check for bounding box overlap
bb0 = (min(p[0] for p in poly0), min(p[1] for p in poly0),
max(p[0] for p in poly0), max(p[1] for p in poly... | 26ea4bd17a55ed05afa049a9aaab5237f0965674 | 3,646,280 |
def new_halberd(game_state):
"""
A composite component representing a Sword item.
"""
c = Composite()
set_item_components(c, game_state)
set_melee_weapon_component(c)
c.set_child(Description("Halberd",
"A long stick with a with an axe-head at one end."
... | 1e6ccdce08a5e4e26c6dc8d09db38ef4b6d7b2f0 | 3,646,282 |
from typing import List
def get_regional_services(service_list: List[AWSService] = None) -> List[AWSService]:
"""List all services which are tied to specific regions."""
services = service_list or get_services()
return [s for s in services if s.is_regional] | d856acfc24430102ccb72a76eedbc47ace842894 | 3,646,283 |
def f_setup_config(v_config_filename):
"""This function read the configuration file"""
df_conf_file = pd.read_csv(v_config_filename, delimiter="|", header=0)
api_key = df_conf_file[df_conf_file.CONFIG_VAR == 'API_KEY']['VALUE'].values[0]
data_dir = df_conf_file[df_conf_file.CONFIG_VAR == 'DATA_DIR']['V... | b2e9a8e822a2c582549055184cc8096f174fdb3b | 3,646,285 |
def choose_username(email):
"""
Chooses a unique username for the provided user.
Sets the username to the email parameter umodified if
possible, otherwise adds a numerical suffix to the email.
"""
def get_suffix(number):
return "" if number == 1 else "_"+str(number).zfill(3)
user_mo... | 594c060df6df5c89c7c08a2e3979960866cc5688 | 3,646,286 |
def lms2rgb(image):
"""
Convert an array of pixels from the LMS colorspace to the RGB colorspace. This function assumes that
each pixel in an array of LMS values.
:param image: An np.ndarray containing the image data
:return: An np.ndarray containing the transformed image data
"""
return np... | 736d7101a4c4256725fd4f09c6a453c418c1ae81 | 3,646,287 |
def __apply_to_property_set (f, property_set):
""" Transform property_set by applying f to each component property.
"""
properties = feature.split (property_set)
return '/'.join (f (properties)) | 5091065f90b602a775c24eca9e2ab3bc6861e0c8 | 3,646,288 |
def calc_eta_FC(Q_load_W, Q_design_W, phi_threshold, approach_call):
"""
Efficiency for operation of a SOFC (based on LHV of NG) including all auxiliary losses
Valid for Q_load in range of 1-10 [kW_el]
Modeled after:
- **Approach A (NREL Approach)**:
http://energy.gov/eere/fuelcells/d... | 0cd14d976d773dc34d7ea96e80db4267e33aac1f | 3,646,291 |
from typing import Tuple
def erdos_renyi(
num_genes: int, prob_conn: float, spec_rad: float = 0.8
) -> Tuple[np.ndarray, float]:
"""Initialize an Erdos Renyi network as in Sun–Taylor–Bollt 2015.
If the spectral radius is positive, the matrix is normalized
to a spectral radius of spec_rad and the scal... | 87e29376ec79ea9198bb3c668fdc31fc61216a26 | 3,646,292 |
import _ctypes
def IMG_LoadTextureTyped_RW(renderer, src, freesrc, type):
"""Loads an image file from a file object to a texture as a specific format.
This function allows you to explicitly specify the format type of the image
to load. The different possible format strings are listed in the
documenta... | ef9f963e71b7419ec790bd3fdb06eb470d30972b | 3,646,293 |
def soft_l1(z: np.ndarray, f_scale):
"""
rho(z) = 2 * ((1 + z)**0.5 - 1)
The smooth approximation of l1 (absolute value) loss. Usually a good choice for robust least squares.
:param z: z = f(x)**2
:param f_scale: rho_(f**2) = C**2 * rho(f**2 / C**2), where C is f_scale
:return:
"""
loss... | 95813cd59c99ab94e6b4693237dc85f5b7d31b14 | 3,646,294 |
def calculate_hit_box_points_detailed(image: Image, hit_box_detail: float = 4.5):
"""
Given an image, this returns points that make up a hit box around it. Attempts
to trim out transparent pixels.
:param Image image: Image get hit box from.
:param int hit_box_detail: How detailed to make the hit bo... | dd74e18fac1fe96728837ce8af62c38461592baa | 3,646,295 |
async def open_local_endpoint(
host="0.0.0.0", port=0, *, queue_size=None, **kwargs
):
"""Open and return a local datagram endpoint.
An optional queue size argument can be provided.
Extra keyword arguments are forwarded to `loop.create_datagram_endpoint`.
"""
return await open_datagram_endpoint(... | a3b03408bbe35972b0588912a0628df2be9cddc5 | 3,646,296 |
from typing import Union
def parse_bool(value: Union[str, bool]) -> bool:
"""Parse a string value into a boolean.
Uses the sets ``CONSIDERED_TRUE`` and ``CONSIDERED_FALSE`` to determine the boolean value of the string.
Args:
value (Union[str, bool]): the string to parse (is converted to lowercas... | 86bb61b82eb71627f3563584779f3a17ea1bc8b7 | 3,646,297 |
from datetime import datetime
import traceback
import requests
def send_rocketchat_notification(text: str, exc_info: Exception) -> dict:
""" Sends message with specified text to configured Rocketchat channel.
We don't want this method to raise any exceptions, as we don't want to
unintentionally break any... | c466621cfd8ead8f6773bc1c461fb779c0374937 | 3,646,298 |
def get_number_of_forms_all_domains_in_couch():
"""
Return number of non-error, non-log forms total across all domains
specifically as stored in couch.
(Can't rewrite to pull from ES or SQL; this function is used as a point
of comparison between row counts in other stores.)
"""
all_forms =... | a30f5e6410dc3b91c3a962169fad20e2a8d4a8fb | 3,646,299 |
def compute_wolfe_gap(point_x, objective_function, feasible_region):
"""Compute the Wolfe gap given a point."""
grad = objective_function.evaluate_grad(point_x.cartesian_coordinates)
v = feasible_region.lp_oracle(grad)
wolfe_gap = grad.dot(point_x.cartesian_coordinates - v)
return wolfe_gap | f2b09a232063599aa7525a70e6d3a0d8bafb57e7 | 3,646,300 |
async def get(ip, community, oid, port=161, timeout=DEFAULT_TIMEOUT):
# type: (str, str, str, int, int) -> PyType
"""
Delegates to :py:func:`~puresnmp.aio.api.raw.get` but returns simple Python
types.
See the "raw" equivalent for detailed documentation & examples.
"""
raw_value = await raw.... | 6682d9877ac4d5b287088fd17d626011b95b6c31 | 3,646,301 |
def preprocess_image(image, params):
"""Preprocess image tensor.
Args:
image: tensor, input image with shape
[cur_batch_size, height, width, depth].
params: dict, user passed parameters.
Returns:
Preprocessed image tensor with shape
[cur_batch_size, height, ... | 4e5a563610c2ecdcd29fa5c077025100625b767b | 3,646,302 |
def get_vlim(xarr: xr.DataArray, alpha: float) -> dict:
"""Get vmin, vmax using mean and std."""
mean = xarr.mean()
std = xarr.std()
return {"vmin": max(0., mean - alpha * std), "vmax": mean + alpha * std} | 4f6c87f290ab23db56fe67f700136a49e2b52363 | 3,646,303 |
def count_consumed_symbols(e):
"""Count how many symbols are consumed from each sequence by a single sequence diff entry."""
op = e.op
if op == DiffOp.ADDRANGE:
return (0, len(e.valuelist))
elif op == DiffOp.REMOVERANGE:
return (e.length, 0)
elif op == DiffOp.PATCH:
return (1... | 63a3d97840fae49a7ff3279e10e553d82dfcf801 | 3,646,304 |
def maha_dist_sq(cols, center, cov):
"""Calculate squared Mahalanobis distance of all observations (rows in the
vectors contained in the list cols) from the center vector with respect to
the covariance matrix cov"""
n = len(cols[0])
p = len(cols)
assert len(center) == p
# observation matri... | 9e54a7f49ed3b977b351007991f3fe263306a20a | 3,646,305 |
def get_form_target():
"""
Returns the target URL for the comment form submission view.
"""
if get_comment_app_name() != DEFAULT_COMMENTS_APP and hasattr(get_comment_app(), "get_form_target"):
return get_comment_app().get_form_target()
else:
return urlresolvers.reverse("comments.view... | d7e6ad126a35109d589d7f2734a4bd3e56df748f | 3,646,306 |
def secret_page(username=None, password=None):
"""
Returns the HTML for the page visited after the user has logged-in.
"""
if username is None or password is None:
raise ValueError("You need to pass both username and password!")
return _wrapper("""
<h1> Welcome, {username}! </h1>
<... | 3bd81f30f0bf63290c6ee24cf3bccb7090fd406c | 3,646,307 |
import collections
def user(username):
""" displays a single user """
all_badgers = loads(r_server.get('all_badgers'))
this_badger = all_badgers[username]
this_badger_sorted = collections.OrderedDict(sorted(this_badger.items(), reverse=True))
days = days_in_a_row(this_badger)
kwargs = {'badger... | 27cf03175184cc839a64d931aa3477a0196c24aa | 3,646,308 |
import numpy
def ifft(a, axis):
"""
Fourier transformation from grid to image space, along a given axis.
(inverse Fourier transform)
:param a: numpy array, 1D or 2D (`uv` grid to transform)
:param axis: int; axes over which to calculate
:return: numpy array (an image in `lm` coordinate space... | 3a96d6b615c8da63deaeca5e98a4f82f18fec8dd | 3,646,309 |
import random
def transitions_and_masks_to_proposals(t1,
t2,
m1,
m2,
max_samples=10,
max_ccs=6):
"""
assumes set-based... | 146b937e7a46d6d051b10f900574378874535932 | 3,646,310 |
import requests
import re
def exists(url):
"""Check based on protocol if url exists."""
parsed_url = urlparse(url)
if parsed_url.scheme == "":
raise RuntimeError("Invalid url: %s" % url)
if parsed_url.scheme in ('http', 'https'):
r = requests.head(url, verify=False)
if r.statu... | bb91fd5fb93ec6441125a1aa4874ad6d7f103535 | 3,646,312 |
def inverse_chirality_symbol(symbol):
"""
Inverses a chirality symbol, e.g., the 'R' character to 'S', or 'NS' to 'NR'.
Note that chiral double bonds ('E' and 'Z') must not be inversed (they are not mirror images of each other).
Args:
symbol (str): The chirality symbol.
Returns:
st... | e87fae6ad9169efac0b3c95f53dfb92e0c450909 | 3,646,313 |
from typing import Optional
def delete(
request: HttpRequest,
wid: Optional[int] = None,
workflow: Optional[Workflow] = None,
) -> JsonResponse:
"""Delete a workflow."""
if request.method == 'POST':
# Log the event
Log.objects.register(
request.user,
Log.WOR... | 07b6de0d66a5101660f1bf4aa37abe4be71568ff | 3,646,315 |
def at_threshold(FPR, TPR, parameter, threshold):
"""
False positive rate (FPR) and True positive rate (TPR) at the selected threshold.
:param FPR: False positive rates of given receiver operating characteristic (ROC) curve
:param TPR: True positive rate of given receiver operating characteristic (ROC) ... | d66edc0e43a18a5fdf8b6d216e4130aef8a7b17b | 3,646,316 |
def _check_kl_estimator(estimator_fn, distribution_fn, num_samples=10000,
rtol=1e-1, atol=1e-3, grad_rtol=2e-1, grad_atol=1e-1):
"""Compares the estimator_fn output and gradient to exact KL."""
rng_key = jax.random.PRNGKey(0)
def expected_kl(params):
distribution_a = distribution_fn(*... | b4e34f35f6531f795c8621fee2082993c3b518bd | 3,646,317 |
def relative_bias(simu, reco, relative_scaling_method='s1'):
"""
Compute the relative bias of a reconstructed variable as
`median(reco-simu)/relative_scaling(simu, reco)`
Parameters
----------
simu: `numpy.ndarray`
reco: `numpy.ndarray`
relative_scaling_method: str
see `ctaplot.... | 1bc611b1ea135d593bc9b8c83a02a50eeaf18a7e | 3,646,318 |
from typing import Dict
from typing import Any
def addon_config() -> Dict[str, Any]:
"""Sample addon config."""
return {
"package-name": "djangocms-blog",
"installed-apps": [
"filer",
"easy_thumbnails",
"aldryn_apphooks_config",
"parler",
... | f4266735ef2f0809e5802abed54dfde4c1cbd708 | 3,646,319 |
def join_mutations_regions(
out_path: str, sample1_id: int, sample2_id: int, mutations_file: File, regions_file: File
) -> File:
"""
Join mutations and regions together to compute an allele frequence.
"""
def iter_mut_points(muts):
for pos, count in muts:
yield pos, "mut", count... | 4d712a914e2f4c221df982fbd3352eb4f572ad11 | 3,646,320 |
def credibility_interval(post, alpha=1.):
"""Calculate bayesian credibility interval.
Parameters:
-----------
post : array_like
The posterior sample over which to calculate the bayesian credibility
interval.
alpha : float, optional
Confidence level.
Returns:
--------
... | b31009918324980ba2ffc53a1f29af1f4e421f95 | 3,646,321 |
def svn_ra_invoke_replay_revstart_callback(*args):
"""
svn_ra_invoke_replay_revstart_callback(svn_ra_replay_revstart_callback_t _obj, svn_revnum_t revision,
void replay_baton, svn_delta_editor_t editor,
void edit_baton, apr_hash_t rev_props,
apr_pool_t pool) -> svn_error_t
"""
ret... | 4c792a16d6dcdbb588062f1f47b3caed84bbd610 | 3,646,322 |
import click
def tree(ctx, rootpage):
"""Export metadata of a page tree."""
if not rootpage:
click.serror("No root page selected via --entity!")
return 1
outname = getattr(ctx.obj.outfile, 'name', None)
with api.context() as cf:
results = []
try:
#page = c... | d055d8dc5fc5a3a267500362ca89b6e895d9d50f | 3,646,323 |
import math
def to_half_life(days):
"""
Return the constant [1/s] from the half life length [day]
"""
s= days * 3600*24
return -math.log(1/2)/s | af7724dfb9442bf1f5e931df5dd39b31d0e78091 | 3,646,324 |
import struct
def Send (dst_ip, data, sequence=0, spoof_source=False, dst_port=MDNS_PORT, src_port=MDNS_PORT, dns_name=TEST_QUERY):
"""
Send one packet of MDNS with data.
:param dst_ip: IP as string.
:param data: Data as bytes/string.
:param sequence: Number to use for sequence. Int.
:param spoof_source: Defaul... | 9541c71d52dcbaa09ffba1aa1bf4d4d422d66ed6 | 3,646,325 |
from units.models import Unit
def accreds_logs_list(request):
"""Display the list of accreds"""
main_unit = Unit.objects.get(pk=settings.ROOT_UNIT_PK)
main_unit.set_rights_can_select(lambda unit: Accreditation.static_rights_can('LIST', request.user, unit))
main_unit.set_rights_can_edit(lambda unit:... | 41961a3cd4f351d13ae5132cfb37e83be7050cc5 | 3,646,326 |
from typing import Counter
def build_dict(file_name, max_vocab_size):
"""
reads a list of sentences from a file and returns
- a dictionary which maps the most frequent words to indices and
- a table which maps indices to the most frequent words
"""
word_freq = Counter()
with open(file_name) ... | ec2067e1fbf8d0f6845024ae69f8531c1f776348 | 3,646,327 |
import functools
import logging
def from_net(func):
"""
为进行相似度数据收集的函数装饰，作用是忽略env中的数据获取模式，改变数据获取模式，
只使用网络数据模式进行数据收集，完成整个任务后，再恢复之前的数据获取模式
:param func: 进行相似度应用且有数据收集行为的函数
"""
@functools.wraps(func)
def wrapper(*args, **kwargs):
# 临时保存env设置中的g_data_fetch_mode
fetch_mode = ABuE... | 68c3a9302d83cf0e02a74c104fd2b5894b85020a | 3,646,328 |
def embedding_lookup(ids, params):
"""
Returns the embeddings lookups.
The difference of this function to TensorFlow's function is that this
function expects the ids as the first argument and the parameters as the
second; while, in TensorFlow, is the other way around.
:param ids: the ids
:... | ef85f95cfa5d2a426616ee9203707877ae202051 | 3,646,330 |
def in_auto_mode(conx: Connection) -> bool:
"""Determine whether the controller is in AUTO or one of the MANUAL
modes.
Wraps the Karel IN_AUTO_MODE routine.
NOTE: this method is moderately expensive, as it executes a Karel
program on the controller.
:returns: True if the controller is in AUTO... | c2819344130a1562fab5a9ece177f8b400a15fbc | 3,646,331 |
def pref(pref_name, default=None):
"""Return a preference value.
Since this uses CFPreferencesCopyAppValue, Preferences can be defined
several places. Precedence is:
- MCX
- /var/root/Library/Preferences/com.github.salopensource.sal.plist
- /Library/Preferences/com.github.salopensou... | 10102f3dde316e473d5943fee059f729d6e9454c | 3,646,332 |
def tRange(tStart, tStop, *, timedelta=300):
"""
Generate datetime list between tStart and tStop with fixed timedelta.
Parameters
----------
tStart: datetime
start time.
tStop: datetime
stop time.
Keywords
--------
timedelta: int
time delta in seconds (defaul... | 4dec7a624bcd2b349d361831993b8108e99725a8 | 3,646,333 |
import numpy
def TransformInversePoints(T,points):
"""Transforms a Nxk array of points by the inverse of an affine matrix"""
kminus = T.shape[1]-1
return numpy.dot(points-numpy.tile(T[0:kminus,kminus],(len(points),1)),T[0:kminus,0:kminus]) | 7e04a741c6ad0ec08e40ab393a703a1878ef784a | 3,646,334 |
def act_func(act):
"""function that can choose activation function
Args:
act: (str) activation function name
Returns:
corresponding Pytorch activation function
"""
return nn.ModuleDict([
['relu', nn.ReLU(inplace=True)],
['leaky_relu', nn.LeakyReLU(negative_slope=0.01... | ffd0e6f2ec3ea419c4c3fbb618e4734d59420826 | 3,646,335 |
def ajax_get_hashtags():
"""Flask Ajax Get Hashtag Route."""
f = request.args.get('f', 0, type=int)
t = request.args.get('t', 0, type=int)
hashtags_list = get_hashtags()
try:
if t == 0:
return jsonify(dict(hashtags_list[f:]))
elif t > len(hashtags_list):
ret... | 3c9249a5fefb93d422c6e2c4be56394711bf1d7a | 3,646,336 |
def extract_pdf_information(pdf_path):
""" Print and return pdf information
"""
# read binary
with open(pdf_path, 'rb') as f:
pdf = PdfFileReader(f)
information = pdf.getDocumentInfo()
number_of_pages = pdf.getNumPages()
txt = f"""
Information about {pdf_path}:
Aut... | bec3667aba872f8e7bf53da09a9fb1905bcf5eec | 3,646,337 |
def normalize_string(subject: str) -> str:
"""Deprecated function alias"""
logger.warn("normalize_string is deprecated")
return string_to_title(subject) | 6531a6e7211c61d8439bfa8ddc0e609c35b8b6f3 | 3,646,338 |
import inspect
def get_default_args(func):
"""
Return dict for parameter name and default value.
Parameters
----------
func : Callable
A function to get parameter name and default value.
Returns
-------
Dict
Parameter name and default value.
Examples
--------... | dcc75dceae1385868866d668aa021584547190df | 3,646,339 |
def sec_to_time(seconds):
"""Transform seconds into a formatted time string.
Parameters
-----------
seconds : int
Seconds to be transformed.
Returns
-----------
time : string
A well formatted time string.
"""
m, s = divmod(seconds, 60)
h, m = divmod(m, 60)
r... | 59fcfe2f53d11ea7daac736b59b5eaeb72172dba | 3,646,340 |
def power_oos(dmap_object, Y):
"""
Performs out-of-sample extension to calculate the values of the diffusion coordinates at each given point using the power-like method.
Parameters
----------
dmap_object : DiffusionMap object
Diffusion map upon which to perform the out-of-sample extension.
... | 4de7d75324cd05a7d1ada0e8f6e724ecd551930c | 3,646,341 |
def detect_face_landmarks(image, face_rect=None):
"""
detect face landmarks,
if face_rect is None, the face_rect is the same size as image
-> object
:param image:
:param face_rect: where the face is
"""
if(face_rect == None):
face_rect = dlib.rectangle(0, 0, image.sh... | 70c299ae2ce98409e2359e11fa9def0d35e7554f | 3,646,342 |
from typing import Iterable
from typing import Mapping
def ensure_iterable(obj):
"""Ensure ``obj`` is either a sequential iterable object that is not a
string type.
1. If ``obj`` is :const:`None` return an empty :class:`tuple`.
2. If ``obj`` is an instance of :class:`str`, :class:`bytes`, or ... | 56c2db3d87c5927b1f2dbb51b64e7be73956d2b8 | 3,646,343 |
def test_dist(**kwargs):
"""
Test Distance
"""
a = np.random.random((2, 3))
d = ahrs.utils.metrics.euclidean(a[0], a[1])
result = np.allclose(d, np.linalg.norm(a[0] - a[1]))
return result | 46a9343fda3445fe0f07bfbb41fc321e6572e4a7 | 3,646,344 |
def get_pca(coords):
"""
Parameters
-----------
coords : 2D np.array of points
Returns
---------
new_coords : 2D np.array of points
keeps original number of dimension as input coords
variance_ratio : tuple
"""
pca = PCA(n_components=3)
# pca.fit(coords)
# ... | a0bce6a7c4b50139502cbdedc6f0f456f21d26b6 | 3,646,345 |
def get_form_info(email):
"""Gets all existing application form info from the database."""
user_id = get_user_id(email)
if not user_id:
return (False, "Invalid user ID. Please contact the organizers.")
query = """
SELECT * FROM applications WHERE user_id = %s AND application_year = %s
""... | f612b83aeb63ff138cc637dc04446ce59f6ecc6b | 3,646,346 |
import logging
def getLog():
"""simple wrapper around basic logger"""
return logging | b51942d2ed02f9ea7faf0a626715ec07e1677c88 | 3,646,347 |
from datetime import datetime
def _date(defval, t):
"""
支持的格式:
unix 时间戳
yyyy-mm-dd 格式的日期字符串
yyyy/mm/dd 格式的日期字符串
yyyymmdd 格式的日期字符串
如果年月日其中有一项是0，将被转换成 1
"""
if t is None:
return defval
if isinstance(t, (int, float)):
return datetime.fromtimes... | e8a1121da89d9dc46bdce5d1b8c70ec973909abb | 3,646,348 |
import math
def compute_lat_long_distance(point1, point2):
"""
Compute the distance between two records that have fields 'lat' and 'lon'.
See details and reference implementation at http://andrew.hedges.name/experiments/haversine/
:param point1: a record with { 'lat', 'lon' }
:param point2: a rec... | 8058df18106636a0bc6c1f7471f912e07e61ae21 | 3,646,349 |
import logging
def entropy_analysis(data_df):
"""
Masked Shannon entropy analysis for sequences
Parameters
----------
data_df: pandas.DataFrame
merged Pandas dataframe
Returns
-------
H_list: list
entropy values for all positions
null_freq_list: list
masked ... | 8b1d887f2c39b39a833c13780864bd47d0d8d648 | 3,646,350 |
import re
def get_requirements(filename):
"""
Helper function to read the list of requirements from a file
"""
dependency_links = []
with open(filename) as requirements_file:
requirements = requirements_file.read().strip('\n').splitlines()
requirements = [req for req in requirements if... | 292d45ab8e7f8523734326869bb1dd05c6f395f1 | 3,646,351 |
def nigam_and_jennings_response(acc, dt, periods, xi):
"""
Implementation of the response spectrum calculation from Nigam and Jennings (1968).
Ref: Nigam, N. C., Jennings, P. C. (1968) Digital calculation of response spectra from strong-motion earthquake
records. National Science Foundation.
:para... | 4e9853b660d85d12701bafe9e328bc91499df73a | 3,646,352 |
def binary_hamiltonian(op, nqubits, qubits1, qubits2, weights, device=None):
"""Generates tt-tensor classical Ising model Hamiltonian (two-qubit interaction terms in a single basis).
Hamiltonian of the form:
H = sum_i omega_i sigma_ind1(i) sigma_ind2(i)
where omega_i are the Hamiltonian weights, s... | 50360d50123c44719a8875a59d02e913cd95f2ad | 3,646,353 |
def map_entry(entry, fields):
"""
Retrieve the entry from the given fields and replace it if it should
have a different name within the database.
:param entry: is one of the followings:
- invalid field name
- command (i.g. $eq)
- valid field with no attribute name
- vali... | 05d392f3ab387381b0f114db05834d642350d817 | 3,646,354 |
def seqlogo_hairpin(N, target='none', ligand='theo', pam=None):
"""
Randomize the stem linking the aptamer to the sgRNA and the parts of the
sgRNA that were the most conserved after being randomized in previous
screens. Specifically, I identified these conserved positions by looking
at a sequenc... | a6be46325d80a23e5afa820b042fa4c878370e45 | 3,646,355 |
from typing import Dict
from typing import Any
def azure_firewall_ip_group_list_command(client: AzureFirewallClient, args: Dict[str, Any]) -> CommandResults:
"""
List IP groups in resource group or subscription.
Args:
client (AzureFirewallClient): Azure Firewall API client.
args (dict): Co... | c52108af9903f952adf316b11098f726d7280153 | 3,646,356 |
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