content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import json
def pending():
""" Display pending reviews.
These are reviews that were submitted, but the user hasn’t responded to the confirmation
email yet. They are automatically purged after 24 hours.
"""
if app_unavailable():
return render_template('app_unavailable.html', result=Markup(get_rea... | fa5d6ae7cc721b98bc95ad8f3eaa4832ae47dca7 | 41,400 |
def format_directory_path(path: str) -> str:
"""Replaces windows style path seperators to forward-slashes and adds
another slash to the end of the string.
"""
if path == ".":
return path
formatted_path = path.replace('\\', '/')
if formatted_path[-1] is not '/':
formatted_path += ... | 0daa0cc65e50bd29c76da64d302c0e01c1bb333b | 41,401 |
def average_gradients(tower_grads):
"""Calculate the average gradient for each shared variable across all towers.
Note that this function provides a synchronization point across all towers.
Args:
tower_grads: List of lists of (gradient, variable) tuples. The outer list
is over individual gradients. ... | f6abd2617cb9466932aa4fdeb592971fbafb068f | 41,402 |
def voter_count_doc_view(request):
"""
Show documentation about voterCount
"""
url_root = WE_VOTE_SERVER_ROOT_URL
template_values = voter_count_doc.voter_count_doc_template_values(url_root)
return render(request, 'apis_v1/api_doc_page.html', template_values) | f1ada03285333982f1b2ce219788097da0468be8 | 41,403 |
import os
def plot_histogram(hist, width=0.9,
title='', xlabel=None, datetime_format="%b %Y",
labels=None, color=None, alpha=None, normalize=True, percent=False, padding=0.03, num_labels=24,
formatter=None, ylabel_precision=2, resolution=3,
f... | 1e4719008a1d56d3b8019702d844190b397d6fc4 | 41,404 |
import os
def find_file_in_path(filename):
""" Finds |filename| by searching the environment paths """
path_delimiter = ';' if is_windows else ':'
for env_path in os.environ['PATH'].split(path_delimiter):
full_path = os.path.join(env_path, filename)
if os.path.isfile(full_path):
... | 6a3b9ca8f602609a790ffc6dc1f02e6064507c0a | 41,405 |
from scipy.linalg import solve_banded, solve
def __lobatto__(alpha,beta,xl1,xl2):
"""
Compute the Lobatto nodes and weights with the preassigned node xl1,xl2
Inputs:
alpha - recursion coefficients
beta - recursion coefficients
xl1 - assigned node location
xl2 - ass... | d4eddef75bc452e84606477547003ccb3bad1647 | 41,406 |
def create_account(fullname, username, password):
"""
Function for creating a new user account
"""
new_user = User(fullname, username, password)
return new_user | 627efda28257d1fa56d543cd6f4564ce78c3b043 | 41,407 |
def count_futures(*args, **kwargs):
"""
计数
:param args:
:param kwargs:
:return:
"""
return db_instance.count(Futures, *args, **kwargs) | 477159e89a4d1c2defdf0a77531ed31f40f8bc4a | 41,408 |
def file_attribs_get(location):
"""Return mode, owner, and group for remote path.
Return mode, owner, and group if remote path exists, 'None'
otherwise.
"""
if file_exists(location):
fs_check = run('stat %s %s' % (location, '--format="%a %U %G"'))
(mode, owner, group) = fs_check.split(' ')
return {'mode': mo... | 0525b500b8d6762e74c1bbb71b9abbe5612f9586 | 41,409 |
from typing import Dict
from typing import Any
from typing import List
def upsert_sql_from_field_value_dict(schema_table: SchemaTable, field_value_dict: Dict[Field, Any],
conflict_field_list: List[Field]) -> sql.Composable:
"""
Takes a schema table, a dict mapping Fields t... | 8364a305cbf349abdd5504c94cae62341a1dcf7a | 41,410 |
def in_date(day, *dates):
"""check if day is in dates list or date
:param day: date
:param dates: list of dates or date
:return: true if in, otherwise false
"""
the_date = int(int_date(day) % 100)
return _in_range_or_equal(the_date, dates) | 9dfb64bcec9d048718edbd0dcbb23e57ced8614e | 41,411 |
def connect_to_server():
"""
Connects to the IMAP server specified in Django's settings and returns
the connection object.
"""
c = imapclient.IMAPClient(settings.TICKETUS_MAILGW_HOST,
port=getattr(settings, 'TICKETUS_MAILGW_PORT', None),
us... | 3dec1a1c0a2df3c2b44b12712e33ec31fdc8bbe0 | 41,412 |
import numba
def jit_filter1d_function(filter_function):
"""Decorator for use with scipy.ndimage.generic_filter1d."""
jitted_function = numba.jit(filter_function, nopython=True)
@cfunc(intc(CPointer(float64), intp, CPointer(float64), intp, voidptr))
def wrapped(in_values_ptr, len_in, out_values_ptr, ... | b1cc2a563d92cd920daa24bf0bde54002a420227 | 41,413 |
import os
def _mock_server_app(swagger_spec_path, mock_responses_path, custom_view_packages):
"""Create the WSGI application, post-fork."""
# Create a basic pyramid Configurator.
config = Configurator(settings={
'service_name': 'mobile_api_mock_server',
'pyramid_swagger.dereference_serve... | e33a7c6965c40fe7261ab848d1b4d3e484ff5117 | 41,414 |
def get_metagen_search_body(self):
""" Get the MetaGenSearchView view body.
Attributes
----------
measure: str
the genomic measure label.
gene: str
the gene name.
Returns
-------
html: str
the MetaGenSearchView view body.
"""
# Get parameters
measure... | 9b1e8c6072991765cf566f1bccccb38b178141a4 | 41,415 |
import websockets
import itertools
def parse_websocket_frame(s):
"""
May raise ParseException
"""
try:
reqs = pp.OneOrMore(
websockets.WebsocketFrame.expr()
).parseString(
s,
parseAll=True
)
except pp.ParseException as v:
rais... | 8342936d84adf0893b34d6e7f41cc33657f3bea6 | 41,416 |
def csnap(df, fn=lambda x: x.shape, msg=None):
""" Custom Help function to print things in method chaining.
Will also print a message, which helps if you're printing a bunch of these, so that you know which csnap print happens at which point.
Returns back the df to further use in chaining.
... | d37e6093834db7d17664387afe871bc8e1d78c0b | 41,417 |
import logging
def start_slideshow():
"""
Starting the picture frame slideshow.
This starts the independent background process.
:return: success
"""
if not process_is_running.value:
# Chaning the process value
process_is_running.value = True
# Creating the background p... | 4dfe7ac916859288303cd1a4dabff82fa1acc714 | 41,418 |
def _toCamelCase(string):
"""Convert a snake case string (PyTorch) to camel case (PopART)"""
words = string.split("_")
return words[0] + "".join(w.capitalize() for w in words[1:]) | f1f21b0313c03b3d63944ee3fcbd5e16b435da6d | 41,419 |
from datetime import datetime
import re
def filter_by_dates(file_list, start_date, end_date, extra_filter=None):
"""filter files names in 'file_list' that belongs to creation dates
betweeen [start_date, end_date)
start_date and end_date are given as YYYY-MM-DD"""
filtered_dates = list()
sd = date... | f84c53aab73d133fd0d7a1e240256937ffab357a | 41,420 |
from xpedite.dependencies import CONFIG
import os
def logPath(name=None):
"""
Returns the path of xpedite log directory
:param name: Optional suffix for the log path (Default value = None)
"""
logpath = CONFIG.logDir
if name:
logpath = os.path.join(logpath, name)
return logpath | ca8c3276bc362ab0ac720d9e2ca2e03789597801 | 41,421 |
def pulse(x):
"""Return the pulse fn of the input."""
return 2*(x % 1 < .5) -1 | f54f73ab6656c0242508170c16ab6ee6a0cc5b92 | 41,422 |
def instance_update(instance):
"""
Call update method on spanner client.
Note: A ValueError exception is thrown despite the client succeeding.
So, we validate the node_count and instance_display_name parameters and then
ignore the ValueError exception.
:param instance: a Spanner instance objec... | 9d3ec54c29f482dd1290daf26b4ebed9726279f7 | 41,423 |
def nastran_tube2(DIM1: float, DIM2: float, n: float, material: pre.Material = pre.DEFAULT_MATERIAL) -> Geometry:
"""Constructs a circular TUBE2 section with the center at the origin *(0, 0)*, with two
parameters defining dimensions. See MSC Nastran documentation [1]_ for more details. Added by
JohnDN90.
... | b264c6547dc9a348fe27c909fb3fce0c190f16db | 41,424 |
def construct_bootstrap_and_latex_commands(ids, participants,
rel_existing_path,
static_paths, base_cmd_fmt,
to_pdf_fmt):
"""Construct the commands to bootstrap results and latex generati... | 9876078ddef82c66162a1056417569b45d9d772f | 41,425 |
from django.contrib import auth
from django.core.urlresolvers import reverse
def login(request, next_page=None, required=False, gateway=False):
"""Forwards to CAS login URL or verifies CAS ticket"""
if not next_page:
next_page = _redirect_url(request)
if request.user.is_authenticated():
r... | a7cbb1a3fa4f713c9cc39ef8b77feca813b05c85 | 41,426 |
import random
import torch
def compute_train_transform(seed=123456):
"""
This function returns a composition of data augmentations to a single training image.
Complete the following lines. Hint: look at available functions in torchvision.transforms
"""
random.seed(seed)
torch.random.manual_see... | 165a2db29a7a42aecd3ce86128b67f64b1ec8a17 | 41,427 |
def index_singleton_clusters(clusters):
"""Replace cluster labels of -1 with ascending integers larger than the maximum cluster index.
"""
clusters = clusters.copy()
filt = clusters == -1
n = clusters.max()
clusters[filt] = range(n, n + len(filt))
return clusters | 9cad0df27d2d99ef3a7478f3c3753cd7795beb54 | 41,428 |
def handler(event, context):
"""Dynamo resource"""
machineTable = DynamoTable('Machines')
return getMachineId(event, machineTable) | 807647d225baddcfaade7b837401e4cf02dfc96f | 41,429 |
def feature_df_to_1d(feature_df, chrom_len_s):
"""
Converts mulitindex feature_df (chrom,start)
to single numeric index running trough all
chromosomes. The column 'end' is also converted.
See rod_to_1d for details.
"""
feature_df = feature_df.copy()
feature_df.index.names = (feature_df.... | 34d94fa26adc399ba59020212500347a0c572f3a | 41,430 |
def convert_wavelength_air2vacuum(wavelength_air):
"""
Convert air wavelength to vacuum wavelength
Parameters
-----------
wavelength_air: float
Air wavelength in Angstroms
Returns
--------
float
Vacuum wavelength in Angstroms
"""
sigma2 = (1e4/wavelength_air)**2.... | 919e2586c849fac9f126309ffe183160c9b3e546 | 41,431 |
def gaussian_blur(img, kernel_size=5):
"""Applies a Gaussian Noise kernel, blurring the original image"""
return cv2.GaussianBlur(img, (kernel_size, kernel_size), 0) | 6613d73b6db4cf0c9cd87417a3a932d1babe3ced | 41,432 |
def convolve_sep2(data, hx, hy, res_g=None, sub_blocks=None):
"""convolves 2d data with kernel h = outer(hx,hy)
boundary conditions are clamping to edge.
data is either np array or a gpu buffer (OCLArray)
"""
if isinstance(data, np.ndarray):
data = np.ascontiguousarray(data)
if s... | 8ea0384c644c160ec31fdde5f158d2620cec801f | 41,433 |
import os
import time
def print_log(info_type="", title="", info=""):
"""
:param info_type: 日志的等级
:param title: 日志的标题
:param info: 日志的信息
:return:
"""
if not os.path.exists(get_file_path("logs")):
os.mkdir(get_file_path("logs/"))
now = time.strftime("%Y-%m-%d %H:%M:%S", time.loc... | 7e062c612bca1bb68034cd5d42040e6a5a526279 | 41,434 |
def gradebook_bulk_management_enabled(course_key):
"""
Returns whether bulk management features should be specially enabled for a given course.
"""
return waffle_flags()[BULK_MANAGEMENT].is_enabled(course_key) | 36531886e09fa9d27e3a157b1bc4aaa76be29500 | 41,435 |
def bboxes_filter():
"""
"""
def _augment(
image,
bboxes,
classes=None
):
return image, bboxes, classes
return _augment | deee3384f7567181eda6e6735aab01d6967787af | 41,436 |
def kl_loss_var(prior_mu, log_var_prior, post_mu, log_var_post):
"""
Analytical KLD for two gaussians, taking in log_variance instead of scale ( given variance=scale**2) for more stable gradients
For version using scale see https://github.com/pytorch/pytorch/blob/master/torch/distributions/kl.py#L398
"... | b52b03d44202be78683efff13896acfd83e393cf | 41,437 |
def get_matching_s3_keys_as_set(bucketname, suffix="") -> set:
"""
Generate the keys in an S3 bucket as set.
:param bucket: Name of the S3 bucket.
:param prefix: Only fetch keys that start with this prefix (optional).
"""
result = set()
for obj in get_matching_s3_objects(bucketname):
... | 8b1c3ece7cecee91fad170663e3963b4909fbcf4 | 41,438 |
import os
def write_model_to_file(model: str, file_path: str = "model.py") -> str:
"""Write the Pydantic Model string to a Python file.
Args:
model: The Pydantic Model string.
file_path: The path must include the .py file extension.
* The file_path is relative to the Workspace Root.
... | 01ab968d8130c03d748d39338b634e02d6332a0a | 41,439 |
import os
def readSite(dir_path, file_name):
""" Read a CSS3 type .site file.
More info: ftp://ftp.pmel.noaa.gov/newport/lau/tphase/data/css_wfdisc.pdf
Arguments:
dir_path: [str] Path to the directory where the .site file is located.
file_name: [str] Name of the .site file.
"""
... | 2411c7fb201c0e328d790cebeb1bb8541bbdbb8e | 41,440 |
def scaled_up_roi(roi, scale: int, shape=None):
"""
Compute ROI for a scaled up image.
Given a crop region in the original image compute equivalent crop in the upsampled image.
:param roi: ROI in the original image
:param scale: integer scale to get scaled up image
:return: ROI in the scaled u... | 24f160bde7f995861aee3f0c20001ce4093aa58a | 41,441 |
def get_rotation(tracker: TrackerComponent):
"""Returns the Euler rotation of the tracker."""
# Data is [0]=side-side [1]=flat [2]=forward-back
if tracker.is_hardware:
torso_state = tracker.get_state('torso')
return torso_state.rot_euler
return (0, 0, 0) | c352c51513abccdbc716cd02d2d04a057a164cfd | 41,442 |
import torch
def lowpass_filtering_in_frequency_domain(
image_grad: torch.Tensor, lowpass: torch.Tensor
) -> torch.Tensor:
"""Applies lowpass filtering in the frequency domain as descibed in Walker
et al. 2019.
Args:
grad (torch.Tensor): gradient
lowpass (torch.Tensor): losspass tenso... | 847d89f9f0078838b594b61df9dd4544cb2bd062 | 41,443 |
def review_detection_html(ibs, image_uuid, result_list, callback_url, callback_method='POST', include_jquery=False):
"""
Returns the detection review interface for a particular image UUID and a list of
results for that image.
Args:
image_uuid (UUID): the UUID of the image you want to review det... | c155f48e2ebc930f9ee9181107ac65ba0b2ea637 | 41,444 |
def mask_label_image(labels: np.ndarray, bg_mask: np.ndarray, bg_label: int = 0):
"""
Mask an input label image and rearrange the label numbers so that
they form the continuous range [0, numlabel].
Note that there is not relabelling of the components, just a
renumbering.
Args:
:param labe... | 3bcc9fb1e65884856105048d42756e03f5062237 | 41,445 |
import torch
def compute_accuracy(
x: Tensor, y: Tensor, m: int, nx: int, c1: int, w: Tensor, b: Tensor
) -> float:
"""Compute accuracy using the given parameters and data.
Args:
x (Tensor): The input tensor (MNIST images)
y (Tensor): The output tensor (a column vector of zeros and ones)
... | eededcbedbf4b0137e16428ab0ed566cb5e6e102 | 41,446 |
def modal(item_id):
"""
Return the information of the specified 'item_id'.
This is so that users can open the correct modal item through AJAX
"""
return jsonify({
"id": item_id,
"name": mysqlcommands.get_item(item_id)[1]
}) | 2f7edf7a7ed61b7ad2e6223b4dc8e267bc2fa8a0 | 41,447 |
import warnings
def get_download_url(data_product_uri):
"""(Deprecated) Get URL for downloading data product identified by data_product_uri."""
warnings.warn("Use user_storage.get_download_url instead.", DeprecationWarning)
return (reverse("django_airavata_api:download_file") + "?" +
urlencode... | c095a2dfe43ffb984d3eb6bbecc64106dd29c5fe | 41,448 |
import re
def get_remote_version_string():
"""
Get the current cvd string from the clamav DNS TXT entry
"""
resolver = Resolver()
resolver.timeout = 5
nameserver = CVDUPDATE_NAMESERVER
record = str(resolver.resolve(CVDUPDATE_NAMESERVER, "TXT").response.answer[0])
versions = re.searc... | c58415d26378a804d0b536d7218f14744a673d93 | 41,449 |
def lit(val):
"""Accept a single item and return the given value."""
return lambda seq: ([val], seq[1:], Status.succeed(where='lit')) | 3cf40630a20ef53e25e67ffe1e0279e9bfafa24e | 41,450 |
import argparse
def build_parser(args):
""" This method allows us to test the args.
>>> args = build_parser(['--verbose'])
>>> print(args.verbose))
True
"""
parser = argparse.ArgumentParser(usage='$ python logger.py',
description='Get the la... | ee70c06da3b464177333766f1cdb2a264fbed552 | 41,451 |
def average(data, axis, n):
"""
Averages data along the given axis by combining n adjacent values.
:param data: Data to average along a given axis.
:type data: numpy array
:param axis: Axis along which to average.
:type axis: int
:param n: Factor by which to average.
:type n: int
... | 2f958f48dbf4e14cdcce4c0c06904b7c48007a25 | 41,452 |
def _left_operator(func):
"""Function decorator to treat a method as the left operator."""
def inner(self, other):
"""Decorator wrapper."""
left = self.value
if isinstance(other, NumericType):
right = other.value
else:
right = other
return to_aiid... | 252cd5b7e9031f0598c998b69cc7157dcd747661 | 41,453 |
from typing import Any
def normalize_data_values(type_string: TypeStr, data_value: Any) -> Any:
"""Decodes utf-8 bytes to strings for abi string values.
eth-abi v1 returns utf-8 bytes for string values.
This can be removed once eth-abi v2 is required.
"""
_type = parse_type_string(type_string)
... | 17e4c3342a8d7dbc5a1274b5368357cb66a9b8e0 | 41,454 |
def StringArrayToVideo(string_array):
"""Converts a N length JPEG encoded string array to NCHW video.
TODO: Allow partial decode (only some frames)
"""
nframes = string_array.shape[0]
frames = [StringArrayElementToFrame(string_array, i) for i in range(nframes)]
video = np.transpose(np.stack(fram... | 927d11dfcfe54dc3c39a525211588c785eeddba3 | 41,455 |
def update_bpt(*args):
"""update_bpt(bpt_t bpt) -> bool"""
return _idaapi.update_bpt(*args) | e02507ec02b11a3fb30fe10d6da584bf9535a65d | 41,456 |
def generate_test_data():
"""
生成测试样本数据，来自函数y=sin(2 * pi * x)
:return: 生成的测试数据集的X向量和Y向量
"""
test_X = np.linspace(0, 1, 4 * data_number)
test_Y = np.sin(2 * np.pi * test_X)
return test_X, test_Y | 9b8e0abbb5b0a68b3fa20105e0e96e9bf40fee6a | 41,457 |
from typing import Dict
from sys import path
def get_cfg_rabbitMQ(f:str)->Dict:
"""
Check if the 'rabbitMQ' config file is valid and returns the values
:param f: path to the cfg file
:return: params
"""
if path.isfile(f):
with open(f, 'r') as cfg:
par = {k.lower():v for k,v... | 408fb51ac9f1fefedd893144a3bad7cfca07007f | 41,458 |
def usaf_station_to_lat_lng(station):
"""Return the latitude and longitude coordinates of the given USAF station.
Parameters
----------
station : str
String representing a USAF Weather station ID
Returns
-------
lat_lng : tuple of float
Latitude and longitude coordinates.
... | 591615783f859be3efe36bb754e8142430d69069 | 41,459 |
def generate_kwargs(gt, m_vir_thresh, SSPs_in=None, SSP_kwargs={}, **extra_kwargs):
"""
Generate kwargs for a GAMMA run.
Example usage:
## Generate tree and SSP input to GAMMA
gt = caga.gamma_tree.load("my_gamma_tree.npy")
mvir_thresh = 1e7
SSPs_in = caga.precompute_ssps... | c9b03fb003d778890f8183b2bf4dd7e5ccfb4dca | 41,460 |
def increase_vectors(vectors):
"""accelerate so that pieces move faster in earlier frames"""
new_vecs = []
for vec in vectors:
new_vecs.append((vec[0]*VEC_GROWTH, vec[1]*VEC_GROWTH))
return new_vecs | 0eaeaa193722b7a135fa7f0d37605d7bf3a7db9e | 41,461 |
def Validate(ciffile,dic = "", diclist=[],mergemode="replace",isdic=False):
"""Validate the `ciffile` conforms to the definitions in `CifDic` object `dic`, or if `dic` is missing,
to the results of merging the `CifDic` objects in `diclist` according to `mergemode`. Flag
`isdic` indicates that `ciffile` is ... | d3828279f9cdfae69690122c82ab50cb40fb9662 | 41,462 |
def tapis_client(x_tapis_token: str = Depends(tapis_token)) -> Tapis:
"""Returns a user Tapis client for the provided token"""
try:
client = _client(x_tapis_token)
except BaseTapyException as exc:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="... | cf9b7a70819c8b1f19da9ae4a40e07417032e0ef | 41,463 |
def default_exchange():
"""Return a default :class:`kombu.Exchange` created from configuration.
Scope: function
This fixture offers a default :class:`kombu.Exchange`.
"""
return Exchange("test-exchange", type="direct") | efff24cd68f6b5bcd2d7628a2bfc399969b64a10 | 41,464 |
from ._array import GeoArray
def to_geo(values):
"""Convert values to GeoArray
Parameters
----------
values : WKT, GeoJSON or Esri JSON in a list
Returns
-------
addresses : GeoArray
Examples
--------
Parse strings
>>> to_geo(['{"x" : -118.15, "y" : 33.80, "spatialRefere... | f0eaa16589489c998109fb9d38df96d82435ac32 | 41,465 |
def build(name, ask=True, **kwargs):
"""
Build the malicious mote to its target hardware.
:param name: experiment name (or absolute path to experiment)
:param ask: ask confirmation
:param path: expanded path of the experiment (dynamically filled in through 'command' decorator with 'expand')
:pa... | 3d1e82946779f298aecb2e90f481588172bbf051 | 41,466 |
def cor(y, z):
"""Compute Pearson's correlation coefficient."""
return np.corrcoef(y, z)[0, 1] | bb7dac07c5070430a2160c85a87fba1a657e0785 | 41,467 |
import torch
def ldot(u, v, keepdim=False):
"""Lorentzian scalar product"""
uv = u * v
uv.narrow(-1, 0, 1).mul_(-1)
return torch.sum(uv, dim=-1, keepdim=keepdim) | 59c26e622ef5ffe94d92a2e8c0fc40d316b58f5b | 41,468 |
def print_qa(questions, answers_gt, answers_gt_original, answers_pred, era, similarity=dirac, path=''):
"""
In:
questions - list of questions
answers_gt - list of answers (after modifications like truncation)
answers_gt_original - list of answers (before modifications)
answers_pr... | b1379067f4677626522989ea5c2888678b50e8dc | 41,469 |
def thumbiconurl(public_path):
"""Get the URL of an icon for filename.
"""
return mimetypeurl(mimetype(public_path)) | 590f1d75f5bb27aed0f0a81dc2b70b940ad9a677 | 41,470 |
def test_depends(func):
"""Decorator to prevent a test being executed in individual mode"""
def invalid(self, test):
if self.test_individual:
test.description = "Invalid"
return test.DISABLED("This test cannot be performed individually")
else:
return func(self... | 4b2db29fc8c0a30ec3a4ec6c3fb93ed958f0094e | 41,471 |
def load(
phono3py_yaml=None, # phono3py.yaml-like must be the first argument.
supercell_matrix=None,
primitive_matrix=None,
phonon_supercell_matrix=None,
is_nac=True,
calculator=None,
unitcell=None,
supercell=None,
nac_params=None,
unitcell_filename=None,
supercell_filename... | ed2c4b2eceb0a7979ab864b8ff357663086dbc5e | 41,472 |
def pluralize(
*, with_quantity: bool = True, with_indicative: bool = False, **word
) -> str:
"""Pluralize a single kwarg's name depending on the value.
``with_indicative`` must be used with ``with_quantity``.
Example
-------
>>> pluralize(object=2)
"2 objects"
>>> pluralize(object=1)... | 9dc4fbe280f4794599f57e7af645d9cac51d655e | 41,473 |
def move_bounds(box, ovl_box, padding=0, axis=None):
"""
given two boxes, return the x and y deltas needed to move the first box to avoid the second.
for simplicity, we chose only one axis, whichever is shorter. Also, only allow positive moves.
can choose axis with axis='y' or axis='x'
""... | 4b3275d97987a95f9962e975ead5f03af3964348 | 41,474 |
def ensure_f(func: Function) -> F:
"""wrap the given function into a F instance"""
if not isinstance(func, F):
return F(func)
return func | 7ea54909bac42c2ade1d1a82ec00c9aff3af7cb6 | 41,475 |
import re
def compiler_call(executable):
""" A predicate to decide the entry is a compiler call or not. """
compilers = [
re.compile(r'^([^/]*/)*([^-]*-)*c(c|\+\+)$'),
re.compile(r'^([^/]*/)*([^-]*-)*g(cc|\+\+)(-\d+(\.\d+){0,2})?$'),
re.compile(r'^([^/]*/)*([^-]*-)*clang(\+\+)?(-\d+(\.... | d8fa6fa22f13b13154579e19a4ab18e016a56caf | 41,476 |
def debye(img, fig, center=None):
"""Draw the Debye-Scherrer rings, calculates diameter and center of each
and returns the mean center for mirroring
:param fig: a dictionary with keyword arguments for ``sf.show``
or a matplotlib figure
.. note:: If you use ``sf.show`` the figure must be cr... | d85c45b176a4cef6077dd2d5379c5c08fadd32d1 | 41,477 |
def month_and_year(m=None, y=None):
"""Creates a string from month and year data, if available."""
if y is None:
return "present"
if m is None:
return str(y)
m = month_to_int(m)
return "{0} {1}".format(SHORT_MONTH_NAMES[m], y) | 6c09800c7b7649c983462b0f1d09829d897c4e1b | 41,478 |
def to_bool(a):
"""
a: a str or bool object
if a is string
'true', 't', 'yes', 'y', '1', 'ok' ==> True
'false', 'f', 'no', 'n', '0' ==> False
"""
if isinstance(a, bool):
return a
elif a is None:
return False
elif isinstance(a, (int, float)):
return b... | 00cb99d07ba6dc2b149f52930e9916cabb7fb872 | 41,479 |
import six
def find_nova_host(address, config):
"""See if a nova instance has the supplied address."""
nova = client.Client(config['username'],
config['password'],
config['tenant_id'],
config['authurl'],
region... | 11dc70d022996f8134d57a4507f8b495a7b23402 | 41,480 |
from typing import Iterable
def camera_matrix(fov=const.CAMERA_FOV, resolution=const.CAMERA_RESOLUTION, alpha=0):
"""Returns camera matrix [1] from Field-of-View, skew, and offset.
Parameters
----------
fov : float, Iterable
Field-of-View angle (degrees), if type is Iterable it will be interp... | 3817ea4f890b423757fb4c29715697f9df5decf4 | 41,481 |
import random
def LoadUserAgents(uafile):
"""
uafile : string
path to text file of user agents, one per line
"""
uas = []
with open(uafile, 'rb') as uaf:
for ua in uaf.readlines():
if ua:
uas.append(ua.strip()[1:-1-1])
random.shuffle(uas)
return ... | 3942f92c11e16ff979c1ef80552a1340bc149c16 | 41,482 |
def comment_threads_list(key, part, allThreadsRelatedToChannelId=None,
channelId=None, id=None, videoId=None,
maxResults=None, moderationStatus=None, order=None,
pageToken=None, searchTerms=None, textFormat=None):
"""Returns a list of commen... | 74ca3da4aee410ed38916ed4193860715ea01614 | 41,483 |
def gaussianBlur(img):
"""Applies gaussian filter to a grayscale image"""
return cv2.GaussianBlur(img, (5, 5), 0) | e0a28f50c792ec09a6660beedc2d9e6e1df0d59b | 41,484 |
def fix_month(bib_str: str) -> str:
"""Fixes the string formatting in a bibtex entry"""
return (
bib_str.replace("{Jan}", "jan")
.replace("{jan}", "jan")
.replace("{Feb}", "feb")
.replace("{feb}", "feb")
.replace("{Mar}", "mar")
.replace("{mar}", "mar")
.r... | 9bdcb06dc43a6d6748af20d5279ca38ec6aa1d0a | 41,485 |
def multipart_form_message(media, form_data={}):
"""Return a MIMEMultipart message to upload encoded media via an HTTP form POST request.
Args:
media: a list of (encoded_data, filename) tuples.
form_data: dict of name, value form fields.
"""
message = MIMEMultipart('form-data', None)
if form_data:
... | e8c27c3baf0e0692a017de2bfb3a08755cecfb4a | 41,486 |
def make_well2file_dict(data):
"""Create a dictionary mapping wells to image files.
Parameters
----------
data : pandas data frame
A data frame from feature computation.
Returns
-------
well2file : dictionary, {(int, string): string}
A dictionary keyed by a (plate, well) tu... | 0baaed068a9b84596749a89bc37cae10f8e3950d | 41,487 |
from typing import Optional
def create_balloon(
x: units.Distance = units.Distance(m=0.0),
y: units.Distance = units.Distance(m=0.0),
center_lat: float = 0.0,
center_lng: float = 0.0,
pressure: float = 7_000.0,
power_percent: float = 0.95,
date_time: Optional[dt.datetime] = None,
time_... | e776684b8aa648acfd18f1e026aec296e4c39329 | 41,488 |
import os
def _is_attribute_file(filepath):
"""
Check, if ``filepath`` points to a valid udev attribute filename.
Implementation is stolen from udev source code, ``print_all_attributes``
in ``udev/udevadm-info.c``. It excludes hidden files (starting with a
dot), the special files ``dev`` and ``u... | 6fbfc3b7de0f192ad96118f412ff7ea4ab42e06a | 41,489 |
def calculate_reference_sample(experiment: FCSExperiment,
exclude_samples: list) -> str:
"""
Given an FCS Experiment with multiple FCS files, calculate the optimal reference file.
This is performed as described in Li et al paper (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5... | 0058d26f7331b5fc1075af1a3a394bc6c64ba2b2 | 41,490 |
def get_visibles(photos, user):
"""
get only photos visible for user
"""
return photos.filter(
Q(owner=user) |
Q(shared=user)
) | 657c336244d2d34b76c12f8964389be4a8d1a300 | 41,491 |
import asyncio
async def changeTeam(team, member):
"""enleve tous les rôles d'un utilisateur sauf '@everyone' et '@modo' puis place le member dans la team appropriée
return 1 si le changement est effectif 0 sinon"""
team = teamName(team)
assert team
assert isinstance(member, discord.Member)
f... | a6accb214e1e09bae59fc4b495f95d019444ac01 | 41,492 |
def dataqc_spiketest(dat, acc, N=5, L=5, strict_validation=False):
"""
Description:
Data quality control algorithm testing a time series for spikes.
Returns 1 for presumably good data and 0 for data presumed bad.
The time series is divided into windows of len L (an odd integer
... | c2c496c6260095b8887b5105ec4305af74959c17 | 41,493 |
def pad(text: str, width: int, align: str = '<', fill: str = ' '):
"""
pad the string with `fill` to length of `width`
:param text: text to pad
:param width: expected length
:param align: left: <, center: ^, right: >
:param fill: char to fill the padding
:return:
"""
assert align in ... | 74befd22927438961b85e370ed16239d7df52707 | 41,494 |
def coins_to_numpy(game):
"""Game coins info to numpy array
Parameters
----------
game : camel up game
Camel up game class
Returns
-------
array
Numpy array
"""
return np.array(
[(key[0], key[1]["coins"]) for key in [*game.player_dict.items()]],
dty... | 2c0614d008f43bbb33e66e6cad169e4e512a6cd9 | 41,495 |
import select
def edit_mode(obj):
"""
Select the object and change to edit mode
:param obj: string, name of object
:return: bpy data object
"""
bpy.ops.object.mode_set(mode='EDIT')
o = select(obj)
bpy.ops.object.mode_set(mode='EDIT')
bpy.ops.object.mode_set(mode='EDIT')
return ... | 046c65e6b2beda097776cecb35e25fa8b64314e5 | 41,496 |
async def test_cli(
aiohttp_client,
otupdate_config,
monkeypatch,
version_file_path,
mock_name_synchronizer,
):
"""
Build an app using dummy versions, then build a test client and return it
"""
app = buildroot.get_app(
name_synchronizer=mock_name_synchronizer,
system_... | 616c900b2f122ec04cfd3586d9de2937bf9c0d6d | 41,497 |
def check_xform(path_to_xform):
"""
Returns an array of warnings if the form is valid.
Throws an exception if it is not
"""
# provide useful error message if java is not installed
if not _java_installed():
raise EnvironmentError("pyxform odk validate dependency: java not found")
#re... | ac31946110fefc462ebc0e9bc9763840f19a77bb | 41,498 |
import torch
def slerp(val, low, high):
"""
val, low, high: bs x frames x coordinates
if val == 0 then low
if val == 1 then high
"""
assert low.dim() == 3, low.dim()
assert val.dim() == 3, val.dim()
assert high.dim() == 3, high.dim()
low_norm = low / torch.norm(low, dim=2, keepdim=... | 96a74c366139f3f617676e5e011884f698569b97 | 41,499 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.