content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def meeus(date, planet='earth', dformat='jd', rtn=None, ref_rtn='sun'):
"""Meeus algorithm to determine planet ephemerides in ECLIPJ2000 frame
:param date: calendar date (yyyy-mm-dd hh:mm:ss.ss)
:param planet: planet to get state from
:param dformat: date format; jd or utc; default is jd
:param rtn:... | 5d6cf3df49b4194212e9951995ab9756ba3390d9 | 3,611,500 |
def choose_pivot_first(_: list[int], left: int, __: int) -> int:
"""Choose first element as pivot"""
return left | 931c7a182feda076213ec85f2d7909e7ff2e87cb | 3,611,501 |
def __virtual__():
"""
Check dependencies
"""
if has_depends is False:
msg = "jks unavailable: {0} execution module cant be loaded ".format(
__virtualname__
)
return False, msg
return __virtualname__ | db75a200406c918f0de16d3d4fce761c35bb26c4 | 3,611,502 |
from typing import Union
import pathlib
def limit(
limit_results: fit.LimitResults,
*,
figure_folder: Union[str, pathlib.Path] = "figures",
close_figure: bool = True,
save_figure: bool = True,
) -> mpl.figure.Figure:
"""Visualizes observed and expected CLs values as a function of the POI.
... | 62b441785b2c903752e2b171f325d0c671dbcb09 | 3,611,503 |
from xgboost.core import EarlyStopException
from xgboost.callback import _fmt_metric
from xgboost.training import aggcv
from xgboost.callback import _aggcv as aggcv
def custom_callback(stopping_rounds, metric, fevals, evals=(), log_file=None,
maximize=False, verbose_eval=True, skip_every=5):
"... | 38d7f9958c081b0adc4d732fe474ff2965db4af3 | 3,611,504 |
def retag_from_strings(string_tag) :
"""
Returns only the final node tag
"""
valure = string_tag.rfind('+')
if valure!= -1 :
tag_recal =string_tag [valure+1:]
else :
tag_recal = string_tag
return tag_recal | 5bef884498efb19eb354bb6119450c9c25a19e1c | 3,611,505 |
def voronoi(obj, tol=0.0, bounds=None):
"""
Computes a Voronoi diagram.
*obj* is a :class:`Geometry <geoscript.geom.Geometry>` or a ``list`` of
geometries.
*tol* is the snapping tolerance used to improved the robustness of the
*bounds* is an optional :class:`Bounds <geoscript.geom.Bounds>` used to
c... | 0c77b6840f5ebb19ed6c95ea643794fb87adf692 | 3,611,506 |
def get_base_model(model_name, weights_path, weight_decay=1e-4):
"""
Define base model used in transfer learning.
"""
if not weights_path:
weights_path = 'imagenet'
if model_name == 'VGG16':
base_model = VGG16(weights=weights_path, include_top=False)
elif model_name == 'VGG19... | b52d35302de63727ec8ae1675fc6779d18e324c5 | 3,611,507 |
def _select_config(conf,
root_node: str, child_node: str,
selection: str):
"""
Extract the list of step objects corresponding to
the list of names provided.
Parameters
----------
conf
step configuration object
root_node : str
node to sta... | 595653fd9d03b50f78560da77f0a507ed962d441 | 3,611,508 |
from typing import Tuple
def check_still_complete(
segments_in: Tuple["BaseSegment", ...],
matched_segments: Tuple["BaseSegment", ...],
unmatched_segments: Tuple["BaseSegment", ...],
) -> bool:
"""Check that the segments in are the same as the segments out."""
initial_str = join_segments_raw(segme... | 8e793a896f7ce85cc6d0ed43caf0e8afd180b710 | 3,611,509 |
def reinforce_loss(disc_logits, gen_logprobs, gamma, decay):
"""The REINFORCE loss.
Args:
disc_logits: float tensor, shape [batch_size, sequence_length].
gen_logprobs: float32 tensor, shape [batch_size, sequence_length]
gamma: a float, discount factor for cumulative reward.
decay: a float, ... | bf5b88541feb9086f98220bb78576ffcea1428c0 | 3,611,510 |
def test_mnemonic_colors(all_terms):
"""Make sure color shortcuts work."""
@as_subprocess
def child(kind):
def color(t, num):
return t.number_of_colors and unicode_parm('setaf', num) or ''
def on_color(t, num):
return t.number_of_colors and unicode_parm('setab', num)... | e1c68fb19e08597e5aec94f8a6fb97acfd18c56d | 3,611,511 |
def static(path):
"""Jinja2 filter version of staticfiles. Hopefully."""
return staticfiles_storage.url(path) | d92f54137dc5ee51bb422fd0f3d429154a6d3c69 | 3,611,512 |
def custom_after_log(resource_name, logger, log_level):
"""After call strategy that logs to some logger the finished attempt."""
def log_it(retry_state):
log_message = f"Finished call to `{resource_name}` after " \
f"{retry_state.seconds_since_start:0.3f}(s), this was " \
... | faaffb83e0da9afd87b939380d1808450624c61d | 3,611,513 |
import urllib
import logging
def SubmitIntermoduleRequest(module, path, data=None, deadline=None):
"""Helper method for making calls from one GAE module to another.
Args:
module: GAE module name, as found in the corresponding .yaml file.
path: The path portion of the intermodule URL.
data: Optional ... | 588918c161a0dc2d7b845452cdf1de3f533c18de | 3,611,514 |
from snakemake.io import temp
def processed_file(suffix, directory='process', magnification='10X', temp_tags=tuple()):
"""Format output file pattern, for example:
processed_file('aligned.tif') => 'process/10X_{well}_Tile-{tile}.aligned.tif'
"""
file_pattern = f'{directory}/{magnification}_{{well}}_Til... | c4e7b5fc1faa5d29afbf889e874548fd1a8e3b4c | 3,611,515 |
import subprocess
def issue_shell_command(cmd: str, my_env=None):
"""
Issues a command in a shell and returns the result as str.
Parameters:
cmd - command to be issued (str)
In python3.x, stdout,stderr are both b'' (byte string literal: bytes object)
and must be decoded to UTF-8 for stri... | 85ba6e15da3abd17b7b54a0920c373de6d7938e6 | 3,611,516 |
import os
def load_CIFAR10(ROOT):
""" load all of cifar """
np_names = ['np_train_data', 'np_train_labels', 'np_test_data', 'np_test_labels']
print(all([os.path.isfile(os.path.join(ROOT, name)) for name in np_names]))
if all([os.path.isfile(os.path.join(ROOT, name)) for name in np_names]):
pri... | 515c78347694b6f41b34fc5ed91f69c3cc8a01f4 | 3,611,517 |
import pathlib
def get_summit_config_path(config_dir_name=".summit"):
"""Returns the path to the summit config directory"""
home = pathlib.Path.home()
return home / config_dir_name | af89240c29b440d52e41676c07cd97fa642d288d | 3,611,518 |
def merge_coco_results(existing_coco_results, new_coco_results, image_id_offset):
""" Merges the two given coco result dicts into one.
:param existing_coco_results: A dict describing the first coco results.
:param new_coco_results: A dict describing the second coco results.
:return: A dict containing t... | 78b8efe19b3f540b6b0943cacc7207a746232faf | 3,611,519 |
def process_regex(regex):
""" This function parse a regex string
into a dictionary of fields and regexes
Format: <field1> -> <regex1>
<field2 -> <regex2> etc."""
res_dict = {}
lines = regex.split("\n")
for l in lines:
tok = l.split("->")
if len(tok) != 2:
... | ad8fb6cc1d2713de53442ce9c9defbe2a45da0a5 | 3,611,520 |
def sum_xalpha_j(samples, alpha):
"""Get F(x1,x2,..)= (1*x1**alpha+2*x2**alpha+...) = sum j x_j^alpha
Args:
samples (array_like): [N_samples, N_x] array of samples
alpha (float): power of x
Returns:
feature (array_like): [N_samples, 1] feature
grad_feature (array_like): [... | c814498f58a1958aafcbbf9416fad10ee79f339e | 3,611,521 |
import os
import hashlib
import shutil
import tempfile
def krfp(smi):
"""Calculate Klekota-Roth fingerprint using padelpy."""
# Warning: as this function uses padel it requires descriptors.xml to be
# in the running directory and have KlekotaRothFingerprinter set to true
# we don't want to copy and r... | 053b1e1a0fb043fa75bb35260f132486f0cc00fa | 3,611,522 |
from re import T
def rgb2gray(img: T.Tensor):
"""
Converts a batch of RGB images to gray.
:param img:
a batch of RGB image tensors.
:return:
a batch of gray images.
"""
if len(img.shape) != 4:
raise ValueError('Input images must have four dimensions, not %d' % len(img... | deafe384ffca2e02c5e56d05b573381f6b774557 | 3,611,523 |
def get_object_for_editing(request, uid, target_klass=None):
"""
Return the specified instance by uid for editing.
If a target_klass is provided, uid will be checked for consistency.
If the request has no logged-in user, a 401 Response will be returned. If
the item is not found, a 404 Response will... | 8fee58f0ffc206ecf5775f26beb88567134fc7d8 | 3,611,524 |
def before_request():
"""Updates session with values coming from the query string if present.
If credentials are invalid, set error flag, for error wrapper to redirect
to settings page.
"""
update_session_for('editorial_features', coercion=lambda x: x == 'enabled')
if is_changing_credentials()... | 0aa25a3be214da77df2db8075ad95379854786f5 | 3,611,525 |
def get_price_including_tax(soup):
""" Analyze "soup" to extract price with tax.
Args:
soup -- bs4.BeautifulSoup from http request of book url.
Return:
price with tax
"""
table = soup.table
cell = table.find_all("td")
price_including_tax = cell[3].text
return price_includ... | e59672a873377ee42348573a8ea54409771a844d | 3,611,526 |
from ._coo import COO
def broadcast_to(x, shape):
"""
Performs the equivalent of :obj:`numpy.broadcast_to` for :obj:`COO`. Note that
this function returns a new array instead of a view.
Parameters
----------
shape : tuple[int]
The shape to broadcast the data to.
Returns
-----... | 81e72532c70f4aa0dd055db1ca748f9cae28e44d | 3,611,527 |
from datetime import datetime
import math
def get_julian_datetime(date):
"""
Convert a datetime object into julian float.
Args:
date: datetime-object of date in question
Returns: float - Julian calculated datetime.
Raises:
TypeError : Incorrect parameter type
ValueError: ... | 4195b9d05d6696df1f2b6f3dd45dfa10fb88a460 | 3,611,528 |
def invoke(kind, topology=None, inputs=None, schemas=None, params=None):
"""
Invoke an SPL operator with an arbitrary number of input ports
and arbitrary number of output ports.
"""
if topology is None:
topology = inputs.topology
# Add operator invocation
op = topology.graph.addOp... | 3aa5d93e1dc612b3956dc33fadc1b9889eed5972 | 3,611,529 |
import os
def is_dev_environment() -> bool:
"""Returns True if the project source code structure is found in the working directory"""
return os.path.isdir("caos") and \
os.path.isdir("caos/_cli_commands") and \
os.path.isfile("caos/_cli.py") and \
os.path.isdir("docs... | 65d2cf1ef70215fd268ab9fa9aec2cc15f141d51 | 3,611,530 |
import os
import sqlite3
def GetSQLite3Connection(database_file_path):
"""Returns a tuple of SQLite3's (connection, cursor) to database_file_path.
If the connection has been created before, it is returned directly. If it's
not, this function creates the connection, ensures that the foreign key
constraint is ... | b133f1b9b5b204e510c759dea8ade76559ae5504 | 3,611,531 |
import logging
def create_table(dynamodb, table_name, partition_key, sort_key={}, rcu=15, wcu=5):
"""
Purpose:
Create an DynamoDB Table by name
Args:
dynamodb (DynamoDB Resource Object): DynamoDB Object owning the Table
table_name (String): Name of table to return
partition... | 192a6a0d643d6bf6604d91517bc37a76cf61a9bd | 3,611,532 |
def _equal(a, b, rtol, atol):
"""Returns True if a == b. a and b are both strings, floats or numpy arrays."""
# python 2/3 compatibility: convert raw bytes to string
a = fix_string(a)
b = fix_string(b)
if isinstance(a, str):
return a == b
return np.allclose(a, b, rtol=rtol, atol=atol) | af33d92f02571c52155a6cb4a1f6aac69010996a | 3,611,533 |
def is_rm_textfile(filename):
"""Returns True if the given filename is a known remarkable-specific textfile."""
if filename.endswith('.json'):
return True
if filename.endswith('.content'):
return True
if filename.endswith('.pagedata'):
return True
if filename.endswith('.bookm... | fd2d05fb1900d432c63d9b2bad0b802e5e00c601 | 3,611,534 |
import requests
def get_postcode_data_GCR(postal_code):
"""request data from geocoder.ca"""
URL = "https://geocoder.ca"
PARAMS = {'postal': postal_code,
'geoit': "XML"}
resp = requests.get(url = URL, params = PARAMS)
resp = resp.content.decode()
root = ET.fro... | 289e877c740be5496aa54e778e7986d58b08bbcf | 3,611,535 |
import os
import subprocess
def old_run_convert_task(conv):
"""Exec the audio convert"""
logger.warning('Convert audio file :> %s' % str(conv))
filename = conv.split(' ')[1].strip()
if os.path.isfile(filename):
logger.debug("File exists!")
else:
logger.error("Error: File don't ex... | f079636cdeab17917059b83aee79a9e916f1d4b1 | 3,611,536 |
def get_piis_for_date(query_str, year=None, loaded_after=None):
"""Search ScienceDirect through the API for articles and return PIIs.
Parameters
----------
query_str : str
The query string to search with.
year : Optional[str]
The year to constrain the search to.
loaded_after : O... | 77436c17ebd811247cbf286efa474dbd4310c280 | 3,611,537 |
def postDailyStandUp():
"""
Post in slack the daily standup for all users in a specific channel
"""
team_meet_up = services.datastore().retrive_daily_team_meetup()
msg = prepare_standup_message(team_meet_up)
slack.post_with_attachment(msg, config["channel"])
return "ok" | ba48242a250b4f1d369c6e0456586aeba7431325 | 3,611,538 |
def get_sandbox(report=MAIN_REPORT):
"""
Retrieves the current sandbox instance attached to this report.
Typically, this is used to retrieve the sandbox without running the
students' code.
Args:
report (:py:class:`pedal.core.report.Report`): The report with the
sandbox instance.... | 6da242496a7205e24aa88ade2c8de1dddac3427c | 3,611,539 |
from re import T
def sheva_na_after_long_vowel(last_vowel, prev, guess):
"""`sheva` after long vowel is `sheva-na`
Source: [Simanim] 3.1.3
> `sheva` after a long vowel without an accent is a `sheva-na`.
Source: [HaMillon] 2.16.3
> `sheva` after a long vowel is `sheva-na`.
"""
if (
... | 5200ff6056cb14779a95c90cae27707a2a5889b2 | 3,611,540 |
def testGameMap():
""" ***TEST CASES*** """
# testing item adj/name collision
testsword = Weapon("elvish sword", "A blade of Elvish make.", 2, weight=2)
testsword2 = Weapon("rusty elvish sword", "A discarded old blade of Elvish steel.", 2)
testsword3 = Weapon("sword elvish rusty", "A mix of adjectiv... | f9dd269cda17172820b808790cc7a9f1b7428938 | 3,611,541 |
def conv1x1BN(in_planes, out_planes, stride=1, groups=1, dilation=1, require_relu=False):
"""1x1 convolution with padding followed by batch-normalization"""
if require_relu is True:
return cm.ConvBNReLU(in_planes=in_planes,
out_planes=out_planes,
... | 809dfeb07030d386146f4366b4e6be930832e2ed | 3,611,542 |
from mage import endpoint
def mutate(q):
"""
Perform a raw mutation.
Args:
q (str): The mutation to run
Example:
>>> import mage
>>> mage.connect()
>>> mage.mutate("createAssessment(input: {type: EXTERNAL, name: "test", assessmentClientId: "12345"}) {id})
"""
... | ded80ffefaa47ee9cb13c946feacc914a626487c | 3,611,543 |
import logging
import six
def __open_dataset(filename, client, worker, decode_times=True, **kwargs):
"""
read one input file. the type is automatically determined.
Parameters
----------
filename : str
path of the file
client: dask.distributed.Client
client object in d... | c8b734ebb83ed0363f4ade7e900468d81c5e2a71 | 3,611,544 |
async def get_recipe_summary(
start=0, limit=9999, session: Session = Depends(generate_session), user: bool = Depends(is_logged_in)
):
"""
Returns key the recipe summary data for recipes in the database. You can perform
slice operations to set the skip/end amounts for recipes. All recipes are sorted by ... | 3406dc5c6e3e71ed090482915b0335916938215f | 3,611,545 |
import os
def delete_files(root, files, origin, target):
"""
Here we invert the origin and target on the file logic so we can reverse the sync and delete the extra files
"""
files_scanned = 0
files_unchanged = 0
files_updated = 0
files_deleted = 0
files_skipped = []
files_not_found... | f30ff5496f8e7833e1e2a3bea3753ed8a2533ae1 | 3,611,546 |
from .data.predictive_models import latest_model_outputs
from .data.manual_overrides import get_currently_overridden_reaches
def compose_tweet() -> str:
"""Generates the message that gets tweeted out. This function does not
actually send the Tweet out; this function is separated from the function
that sen... | af22a43c4f38ce54f5950384cc2f08088c21517e | 3,611,547 |
def calc_grad_norms(model):
"""Computes a gradient clipping coefficient based on gradient norm."""
norms = []
for p in model.parameters():
if p.grad is None:
continue
modulenorm = p.grad.data.norm()
norms += [modulenorm]
return norms | 6a35dafa04182716c0de1ffd5edc969118c8f078 | 3,611,548 |
def load_filtered_data(detector):
"""
Load a filtered dataset and the corresponding mask.
:param detector: an instance of the class Detector
:return: the data and the mask array
"""
root = tk.Tk()
root.withdraw()
file_path = filedialog.askopenfilename(
initialdir=detector.datad... | 36f0cff7ef85335117ef061d864fa205065d311a | 3,611,549 |
def put_user(user_id):
"""update a user"""
user = storage.get("User", user_id)
if user is None:
abort(404)
if not request.get_json():
return make_response(jsonify({'error': 'Not a JSON'}), 400)
for attr, val in request.get_json().items():
if attr not in ['id', 'email', 'creat... | 226c18d8f3ea417d85259ae1af755dfab715caf0 | 3,611,550 |
def force_gd1(pot,ro,vo):
"""Return the force at GD-1"""
# Just use R=12.5 kpc, Z= 6.675 kpc, phi=0
R1= 12.5
Z1= 6.675
p1= 0.
return (potential.evaluateRforces(pot,R1/ro,Z1/ro,phi=p1,
use_physical=True,ro=ro,vo=vo),
potential.evaluatezforces(pot,... | 3fe5deb850b4d1e039131fda746e9ccc8889b3aa | 3,611,551 |
def count(self):
"""自定义一个count函数，替代Paginator内的count函数"""
sql, params = self.object_list.query.sql_with_params()
sql = sql % params
cache_key = md5(sql.encode('utf-8')).hexdigest()
# 先去redis内取
rows = cache.get(cache_key)
# 如果取不到，再去数据库内查询
if not rows:
rows = self.object_list.count(... | 62d52efb0d179b5921509d60de7c4b5340444b67 | 3,611,552 |
def potentialAxi(R,pot,vc=1.,ro=1.):
"""
NAME:
potentialAxi
PURPOSE:
return the potential
INPUT:
R - Galactocentric radius (/ro)
pot - potential
vc - circular velocity
ro - reference radius
OUTPUT:
Phi(R)
HISTORY:
2010-11-30 - Written - Bov... | 05f693a3e3151739c75e5386adcad51b0d40484a | 3,611,553 |
def convert_hcc_hg(rsun, b0, l0, x, y, z=None):
"""Convert Heliocentric-Cartesian (HCC) to Heliographic coordinates (HG)
(given in degrees)."""
if z is None:
z = np.sqrt(rsun**2 - x**2 - y**2)
# z[z < 0] = np.NAN
b0 = np.deg2rad(b0)
l0 = np.deg2rad(l0)
cosb = np.cos(b0)
sinb = ... | 4c3fde8c97d891ce1b4e433b97a93f1dd74f1c06 | 3,611,554 |
from typing import List
from typing import Any
from typing import Dict
def create_filter_dict(filter_type: str, filter_by: str, filter_value: List[Any], operator: str) -> Dict[str, Any]:
"""Creates a dictionary with the filter for the list-incidents request.
:param filter_type: The filter type.
:param fi... | 31c1a86c9fdfb193669e99cb1425bea9c89bf367 | 3,611,555 |
import time
def simulate_qubit_pairs_3D_lattice(cbrt_n, m):
"""
Simulates a set of qubits in a 3D lattice grid of shape
cbrt_n x cbrt_n x cbrt_n. Performs six seperate rounds when applying gates
to ensure that the depth of the circuit is accurate
Runs the simulation a total of m times and returns ... | 5e96c20927b3daa02d189f8e5ee3268aa8767a91 | 3,611,556 |
def _fofactory(tag, attribs):
"""
Factory to create each element with the fo: namespace.
"""
return ElementTree.Element(_foname(tag), attribs) | 3fe149f72c7d58f514cbc3967bccc94cb79451d8 | 3,611,557 |
import copy
def calMultiRegression(bt,sf,of,leadingTime,ty1,ty2,py1,py2,predictors,fstType,pError,sError,oError,bError,countE):
"""
calculate multiple regression
bt: best track data
ty1: year1
ty2: year2
predictors: predictors
fstType: fst variable type
pError:... | 1c49a2d9929d47e8deb0671f0f6ed3d3b1ac819a | 3,611,558 |
def compute_Omegas(M_omega, lambdas, method='lbfgs', n_epoch=1000, lr=1.):
"""Compute Omegas directly from M_omega"""
Ws = compute_Ws(M_omega, lambdas, method=method, n_epoch=n_epoch, lr=lr)
Omegas = Omegas_from_Ws(Ws, M_omega, lambdas)
return Omegas | 278c6188345a2f0ad8d79dbf72bb1bd36c1493c8 | 3,611,559 |
def ensemble_transfer_matrix(NAtoms, kd, g1d, gprime, gm, Delta1, Deltap,
Omega):
"""
NAtoms: The number of atoms
kd: The product of the wavevector k of the input quantum field
(and also approximately the wavevector of the classical drive)
and the dis... | 0ae6d59c62131edc13d51920b4fd4bf44bcf82e5 | 3,611,560 |
def graph_model(fgraph, *model_args, **model_kwargs):
"""Create a PyMC3 model from a Theano graph with `RandomVariable`
nodes.
"""
model = pm.Model(*model_args, **model_kwargs)
nodes = [n for n in fgraph.toposort()
if isinstance(n.op, RandomVariable)]
rv_replacements = {}
for n... | 494f4115642d25ed61f9d4d825e87d72af638ddb | 3,611,561 |
def synthesis2(model,
text,
CONFIG,
use_cuda,
ap,
speaker_embeddings=None,
style_wav=None,
truncated=False,
enable_eos_bos_chars=False, #pylint: disable=unused-argument
do_trim_silence=False,
... | 8fb215b0209e789b3a8c77189e600c7e6f201b03 | 3,611,562 |
def get_resource_name(prefix, project_name):
"""Get a name that can be used for GCE resources."""
# https://cloud.google.com/compute/docs/reference/latest/instanceGroupManagers
max_name_length = 58
project_name = project_name.lower().replace('_', '-')
name = prefix + '-' + project_name
return name[:max_nam... | 7779f71e00063b32566f05d4cb0d8daef81043c0 | 3,611,563 |
def imresize(img, size, return_scale=False, interpolation='bilinear'):
"""Resize image to a given size.
Args:
img (ndarray): The input image.
size (tuple): Target (w, h).
return_scale (bool): Whether to return `w_scale` and `h_scale`.
interpolation (str): Interpolation method, a... | 161c4336135cc965905262cb993903e318800f19 | 3,611,564 |
def do_test(template_str, context_dict=None, autoescape=True,
lang_code="en-us"):
""" Use django's templating engine to render a template against a context
Arguments:
:param template_str: The template to render
:param context_dict: The context to render the template against
... | b56b44772ed0a32da6a4ca837b073b870841434a | 3,611,565 |
from pathlib import Path
from typing import Dict
def get_punctuality_list_for_buses(buses_coordinates: pd.DataFrame,
stops_coordinates: pd.DataFrame,
api_key: str = None,
path: Path = None,
... | bdf5bc77566ff5782699e621037ff9ab15fc2a85 | 3,611,566 |
def pytest_collection(session: _pytest.main.Session):
"""
See :func:`_pytest.hookspec.pytest_collection_modifyitems` for documentation.
Also see the "`Writing Plugins <https://docs.pytest.org/en/latest/writing_plugins.html>`_"
guide.
"""
if is_nait_mode():
f = pytest.File(py.path.local(_... | d830f33147892a41e1c46c257b72a1f9a086c7fb | 3,611,567 |
def rpc_schema_exists(schema):
""" test that an event-machine schema exists """
return eventstore(schema).storage.db.schema_exists() | 7a69dd1be356173730cacb6dda788fc4cb79cda6 | 3,611,568 |
def find_beat(v):
"""
find the beat of a vector format midi using the autocorrelation function
"""
# binary vector for testing autocorrelation
v2 = [0 if x[0] == -1 else 1 for x in v]
result = []
# no need to check more than 24*4 = 96
# i.e. 4 quarter notes of standard midi
for lag i... | b408afced09779eb69b40ae54d1fd2c2cfcf1906 | 3,611,569 |
import configparser
def dd_status(img_size: int) -> float:
"""
function to read the output file of dd and convert it
to a percent completion
:param img_size: size of the image
:return: percent completion of dd
"""
config = configparser.ConfigParser()
config.read(get_config())
con ... | 00739b6a35e4cfd5227ee8fef6ba498a37a3fd39 | 3,611,570 |
def get_config_var(name):
"""Return the value of a single variable using the dictionary
returned by 'get_config_vars()'. Equivalent to
get_config_vars().get(name)
"""
return get_config_vars().get(name) | 5df1f05f70ae2a88640b02f1cd274fdf79a4fabe | 3,611,571 |
def interpolate_line2d(xs, ys=None, interpol=3, window=3, verbose=3):
"""interpolate 2D vector.
Description
-----------
Smoothing a 2d vector can be challanging if the data is low sampled.
This function contains two steps. First interpolation of the input line followed by a convolution.
Parame... | be747fb52620e17aa415628c3fb7e3adb1e25ebe | 3,611,572 |
import torch
def _generate_anchors(base_size, scales, aspect_ratios):
"""Generate anchor (reference) windows by enumerating aspect ratios X
scales wrt a reference (0, 0, base_size - 1, base_size - 1) window.
"""
anchor = np.array([1, 1, base_size, base_size], dtype=np.float) - 1
anchors = _ratio_e... | a932ecfacac98d874435ff560375fd4509eefe66 | 3,611,573 |
from pathlib import Path
def matplotBandGaps(x1, y1, x2, y2, xlabel, ylabel, filename, title=None, addOLS = True, first=False):
"""
A function used to plot band gaps.
...
Args
----------
x : list (dim:N)
A list containing numeric values with np.nan as non-entries
y : list (dim:N)
... | 4a30c5b99cb64ced48459e454d695c6ce0d75bf1 | 3,611,574 |
import threading
def _front_operate(
callback, work_pool, transmission_pool, utility_pool,
termination_action, operation_id, name, payload, complete, timeout,
subscription, trace_id):
"""Constructs objects necessary for front-side operation management.
Args:
callback: A callable that accepts pack... | 222aad67b31e4927d3702598c56ea8c857da2f7d | 3,611,575 |
def handle_RepeatFirstError(exc, source):
"""Handles situation where ``repeat`` was uses wrongly as
it did not appear as the first keyword of a given statement.
"""
_ = gettext_lang.lang
params = exc.args[0]
linenumber = params["linenumber"]
begin = linenumber - 1
end = linenumber + 1... | de0bde1af1ca097f9117e2e06d1898b8a056212f | 3,611,576 |
from typing import Iterable
def gradient_point(point: float, gradient: Iterable[str] = REDGREENGRADIENT) -> str:
"""Get color at a point on color gradient."""
if point < -1 or point > 1:
raise ValueError("Point must fall on range [-1, 1]")
elif len(gradient) != 3:
raise ValueError("Gradient must be an iterable... | 53a04df449626c428cc1f11a818e539dce74cb74 | 3,611,577 |
def transform(query, schema, origin=None):
""" transform
Args:
query(dict): query
schema(dict): schema
origin(list): logical form
Returns: parse result
Rsises: NULL
"""
preprocess_schema(schema)
if origin is None:
lf = query['predicted_rule_tokens']
else:
... | 2004d0e3cbdae61ad05ca74c51daf8de45862b9e | 3,611,578 |
def read_line_from_file(file):
"""Reads one line from a file and returns it as string."""
with open(file, "r") as f:
result = f.readline()
return result | 3f3da3642e7931469e853c977aef67cd1024bbe5 | 3,611,579 |
def _bidirectional_pred_succ(G, source, target, ignore_nodes=None,
ignore_edges=None, force_edges=None):
"""Bidirectional shortest path helper.
Returns (pred,succ,w) where
pred is a dictionary of predecessors from w to the source, and
succ is a dictionary of success... | 0e8caf06e22bd5dbceb52d50f09664f656847567 | 3,611,580 |
def subset_partition(lst):
""" Finds the two subsets that partition the lst in such a way that the sum of
elements in both subsets are equal
pre: lst should be a list of numbers ( can be float or int)
post: returns the two subsets with equal sum
"""
if sum(lst) % 2 != 0:
r... | ed24ad12c08265aa56c3b3bf51c430c616f98c7b | 3,611,581 |
from typing import Union
from typing import List
from typing import Dict
from typing import Optional
from typing import OrderedDict
def plot_task_completion_rates(
completion_rates: Union[List[float], Dict[str, List[float]]],
bins: Union[list, range] = None,
ax: Optional[Axes] = None
) -> Axes... | 0e82ef33aae854d9d1b710cefe28b44a9caec40e | 3,611,582 |
import configparser
import os
def get_config(ini_loc):
"""
Reads config file 'main.ini' and returns config values
Sample config file:
[sqlite]
dblocation: ./dbs/sops.db
soplocation: ./text/
sopPDFlocation: ./pdf/
indexname: sops
"""
config = configparser.Con... | 600bcbae01df33c02bb869879749cccf268a0d18 | 3,611,583 |
import struct
def deflate_long(n, add_sign_padding=True):
"""turns a long-int into a normalized byte string (adapted from Crypto.Util.number)"""
# after much testing, this algorithm was deemed to be the fastest
s = bytes()
n = long(n)
while (n != 0) and (n != -1):
s = struct.pack('>I', n &... | 8d70b4b733ece9ea66d5cd4e84eb8e04ba14b6a9 | 3,611,584 |
def get_todays_image(session: Session = Depends(generate_session), group_name: str = "Home"):
"""
Returns the image for todays meal-plan.
"""
group_in_db: GroupInDB = db.groups.get(session, group_name, "name")
recipe = get_todays_meal(session, group_in_db)
if recipe:
recipe_image = ima... | c280c4089203131ccfdd3d7d4cdb8dd0ba6cc8ce | 3,611,585 |
def plot_imgs(
img_list,
row_title=None,
cmap='viridis',
show_axis=False,
tight_layout=True,
figsize=(10, 6)
):
"""Plot a series of cropped images.
Parameters
----------
img_list : str
A list of images to be plotted.
row_title : str, optional
Y-axis la... | b3ddc2cf9b77c386c77cfe710625f4ae5a957fa3 | 3,611,586 |
def sdO(data):
"""
This is the evolutionary definition of the sdB phase, which is defined as a core He burning phase where the star
looks spectroscopically as an sdO star. This is defined as Teff higher than 40000 K.
If the star does not have a core He burning phase as defined by HeCoreBurning, this fu... | 6c7f0d74d019c8149e1675a6cc0e8c0d5fcdb986 | 3,611,587 |
def get_ecf_club(database, key):
"""Return ECFrefDBrecordECFclub instance for dbrecord[key]."""
c = database.get_primary_record(filespec.ECFCLUB_FILE_DEF, key)
cr = ECFrefDBrecordECFclub()
cr.load_record(c)
return cr | becb7e4ad34ba0421acadde28e01c80754598c72 | 3,611,588 |
def find_known_node(node):
"""
Iterate through the config_dict to find to which key the given <node>
might corresponds too.
Returns:
(str or None):
config_dict key if match found else None
"""
for known_node, node_data in config_dict.items():
if node_data["check"](n... | 3317444e8fadfd59a518541f3543cace78e9c8dd | 3,611,589 |
import pandas as pd
import numpy as np
from datetime import datetime
import json
from fhirclient.models import clinicalprofile, fhirreference, identifier, codeableconcept, fhirdate, quantity
def writeLabProfile(labs_counts, labs_frequencyPerYear, labs_fractionOfSubjects,labs_units, labs_names,
lab... | 1d7ef5d01514136be01cbf64fcc62e2714393dbc | 3,611,590 |
def makeDicts():
"""make a dict out of a live packet capture w/ the data we want"""
listOfDicts = []
for pkt in capture.sniff_continuously(packet_count=50):
listOfDicts.append({"source": pkt["ip"].src, "destination":pkt["ip"].dst, "protocol":pkt.highest_layer})
return listOfDicts | d4a0f940672cc309ce633541696eb09f60ee3eff | 3,611,591 |
def create_sub_graph_by_node_capacity(dump_path=LIGHTNING_GRAPH_DUMP_PATH, k=64, highest_capacity_offset=0):
"""
Creates a sub graph with at most k nodes, selecting nodes by their total capacities.
:param dump_path: The path to the JSON describing the lightning graph dump.
:param k: The maximal number ... | 61f5af0551c33bac03f27be7b271d47430a106d6 | 3,611,592 |
def parsething(thing):
"""I figure out what 'foobar baz in quux quum is not documented' means,
and return: the name of the foobar, and the kind of the foobar.
"""
if thing.startswith("Compound "):
tp, name = "type", thing.split()[1]
else:
m = THING_RE.match(thing)
if not m... | eb86de61812983a1605c50b36c6150fb477e4737 | 3,611,593 |
from typing import Dict
from datetime import datetime
from contextlib import suppress
import copy
def process(business: Business, # pylint: disable=too-many-branches
filing: Dict,
filing_rec: Filing,
filing_meta: FilingMeta): # pylint: disable=too-many-branches
"""Process the... | a437ca7056bd51627f9d3b86c0239212fb052983 | 3,611,594 |
def from_rotation_around_x(angle):
"""Get the rotation matrix for rotation around X.
Args:
angle: rank N tensor of shape [..., 1].
Returns:
rank N+1 tensor of shape [..., 3, 3] containing rotation matrices.
Raises:
ValueError: if the shape of angle is invalid.
"""
angle = tf.convert_to_tensor... | 1d25b9a06e20e9045b6d5d48baf7f7986a67545e | 3,611,595 |
import subprocess
def _get_child_pids(pid):
"""
Return the list of children ``PID``s for the given parent ``pid``.
:param pid:
An ``int`` representing the parent ``PID``.
:return:
A ``list`` of children ``PIDS``s (if any).
"""
sub_proc = subprocess.Popen(
['ps', '-o'... | aba3c964307ef65e9acf2acb20550f53cc17f433 | 3,611,596 |
def direct_field_search(queryset, field_names, search_string, as_of_date=None):
"""Takes a queryset and a list of field names that the search string can act
on."""
# Split the string in case of first name, surname e.t.c
search_strings = tokenize_search_string(search_string)
q_filter = Q()
for se... | 8f8f98fb2ad8ba2584040546d5e7b23e000ffed4 | 3,611,597 |
def get_all_triplets(labels: ndarray) -> ndarray:
"""Select all possible triplets of (anchor, positive, negative) from batch"""
triplets = []
pos_pairs, neg_pairs = get_all_pairs(labels)
for pos in pos_pairs:
for neg in neg_pairs:
if pos[0] == neg[0]:
triplets.append(... | 3e48fefc94f16eb1aa2b298e6bad569a47833312 | 3,611,598 |
def get_start() -> dict:
"""Получение start при запуске бота."""
start = client.start()
if start:
return start
sleep_delay()
return get_start() | 2470e56182485e2efee91a8fa0d3e387467e70a6 | 3,611,599 |
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