content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
from typing import Optional
from typing import List
def get_plugins(
user_id : Optional[int] = None,
search_term : Optional[str] = None,
) -> List[str]:
"""
Return a list of registered plugins.
"""
return get_api_connector().get_plugins(user_id=user_id, search_term=search_term) | da314ee59182360461e86ad19f76d89165a4c132 | 38,700 |
def get_tile_rect(x, y):
"""Converts tile indices to a pygame.Rect"""
return Rect(x*SIZE, y*SIZE, SIZE, SIZE) | 70b9b514037fa5916bbccd771766bc20d693a438 | 38,701 |
from scipy.spatial import Delaunay
def checkBlockageQHull(plane1,plane2,planeB,nargout=1):
"""
Using ConvexHull.
This is slower, but worth having as it's more intuitive.
We can use this to have a third opinion.
Check wheter plane1 and plane2 are blocked by planeB.
plane1, plane2, planeB are... | ea8b20d16baf3bc62701e7c4322967326f03dedf | 38,702 |
def getLinks(laneID):
"""getLinks(string) -> list((string, bool, bool, bool))
A list containing ids of successor lanes together with priority, open and foe.
"""
return _getUniversal(tc.LANE_LINKS, laneID) | 9066791739da9ad7b869fabb99f08a0551c3e13a | 38,703 |
from typing import Tuple
def calc_center_position(pos: Tuple[int, int]):
"""
ボックスの中央の座標を取得する
Parameters
----------
pos : (int,int)
ボックスの座標(左上を原点とし、(横、縦)する)
Returns
-------
position : (int,int)
ボックスの中央の座標
"""
box_size = calc_box_size(row, column)
pos_x, pos... | 7127a9063b451aedd206e8e4c2f65b2ed762db71 | 38,704 |
def ws_sheet_names(xlsx_file, log_on_open=True):
"""Return the sheet names in the XLSX file."""
if log_on_open:
log('SCAN: [!c]{:s}[!/c]', xlsx_file)
with closing(load_ro_workbook(xlsx_file)) as wb:
return [str(i) for i in wb.sheetnames] | 39e97f0bc170acb9f30f669afc3a2a939a2554d2 | 38,705 |
def process_citeauthor(
s: str,
lang: str,
**kwargs
) -> str:
"""
Transforms all citeauthor to [cite]. For example:
``'This is from \citeauthor{Pizarro}, and that is from \citeauthor{cite1, cite2}'`` to
``'This is from [author], and that is from [authors]'``.
:param s: Latex... | 2622e2b2d8e59a34f4dbd1d1968eb7bd4a181871 | 38,706 |
import re
def normalize_newlines(text):
"""Normalizes CRLF and CR newlines to just LF."""
# text = force_text(text)
re_newlines = re.compile(r'\r\n|\r') # Used in normalize_newlines
return re_newlines.sub('\n', text) | 835f038f0873546db96d8e9d2a0d622b4e974f7d | 38,707 |
def power_curve_se_42m140():
"""Power curve for Senvion 4.2M140
Extracted by hand from offial spec-sheet at:
https://www.senvion.com/global/en/products-services/wind-turbines/4xm/
"""
wind_speeds = np.hstack(([0., 1., 2., 3.], np.arange(4, 27, step=2), [27., 40.]))
generation_kw = [0., 0., 0., 0... | 40c1823242c4f2f2fbd3c50c0b2e6b9cae926c09 | 38,708 |
import json
import os
import importlib
def load_service(config_path, base_config=None):
"""Loads a service configuration.
Args:
config_path: Path the service configuration to load.
base_config: The shared configuration to include in this service.
Returns:
name: The service name
s... | 77cbf733ddb0c0ea6660b04154e12a30085e27ed | 38,709 |
def close_ring(coordinates):
"""
checks if the first and last points of a ring are equal and closes the ring
"""
if not points_equal(coordinates[0], coordinates[len(coordinates) - 1]):
coordinates.append(coordinates[0])
return coordinates | 14d121dc25dd774f326845b3c83d2d605d1d69d2 | 38,710 |
def check_families(trace_events, families, event_definitions):
"""
Looks for event types found in the trace that are not specified in the
event definitions.
:param trace_events: Events found in the trace (filtered by family).
:param families: Families to look for.
:param event_definitions: Even... | 2533835283d388ad2fe37d79f6e87f14103a5bee | 38,711 |
def broken_search(nums, target):
"""
Функция должна вернуть индекс элемента, равного k
Eсли такой есть в массиве (нумерация с нуля).
Если элемент не найден, функция должна вернуть -1
Изменять массив нельзя.
"""
return binary_s(nums, target, left=0, right=len(nums)-1) | f427cad35db6ea641e33d26054e64aec9721a462 | 38,712 |
def str_to_timedelta(td_str):
"""
Returns a timedelta parsed from the native string output of a timedelta.
Timedelta displays in the format ``X day(s), H:MM:SS.ffffff``
Both the days section and the microseconds section are optional and ``days``
is singular in cases where there is only one day.
... | dc86def0716afda5e1e4808281275ed2e9514ace | 38,713 |
import os
import requests
def download_file(url, download_dir, path=None, clobber=False):
"""
thanks to: https://stackoverflow.com/questions/16694907/how-to-download-large-file-in-python-with-requests-py
path : str
local path to download to.
"""
if path is None:
local_filename = os... | 1290a9b87cad2b6278f36b157cae9dd1d2a8a272 | 38,714 |
def get_distribution_strategy():
"""Returns the current `DistributionStrategy` object.
Prefer to use `get_tower_context()` or `get_cross_tower_context()`
instead when possible.
Returns:
A `DistributionStrategy` object. Inside a
`with distribution_strategy.scope()` block, it returns
`distribution_s... | 4a20795c098c6b7ad8e7e1f6f42fead24c55e771 | 38,715 |
def exists_project_slug(slug):
"""
Whether the slug has been taken by an existing project of any
kind.
"""
return bool(ActiveProject.objects.filter(slug=slug)
or ArchivedProject.objects.filter(slug=slug)
or PublishedProject.objects.filter(slug=slug)) | ce2baf58cab1227b9a1a480c1fed0c2ba8da235f | 38,716 |
import logging
def main(args):
"""
Main entry point for program
:param args:
:return:
"""
desc = """
Version {version}
Annotates NDEx with INDRA and optionally loads networks into
NDEx (http://ndexbio.org).
To connect to NDEx server a configuration file must be passed
... | 243d65d41f92615bd87a41db52097b7873193099 | 38,717 |
import os
def coupling_rate():
"""Return fraction of women by age who will form a couple that year."""
path_marriage = os.path.join(INPUT_DIR, 'ONS/cohabitationandcohortanalyses11.xls')
path_births = os.path.join(INPUT_DIR, 'ONS/birthsbyparentscharacteristics2014final.xls')
n_female = n_age_sex().valu... | e8561f0a2289cbd51dab4d4831a3a6854a561a65 | 38,718 |
def merge_dupes(list_cxs, cutoff, func=cp.bader_score, npasses=1):
"""
cxs: list of sets
Requires multiple passes to be more certain of fewer complex pairs passing
the merge threshold. But higher passes results in overcollapse when cutoff
< 1.
"""
cxs = list(list_cxs)
cxs_remaining = lis... | e397ccfa2715882ab200be5a66767197b9e8eb97 | 38,719 |
import re
def convertSQL_LIKE2REGEXP(sql_like_pattern):
"""Convert a standard SQL LIKE pattern to a REGEXP pattern.
Function that transforms a SQL LIKE pattern to a supported python
regexp. Returns a python regular expression (i.e. regexp).
sql_like_pattern[in] pattern in the SQL LIKE form to be con... | 16589a99327885dc034fb33af1e69a42a453ccbd | 38,720 |
from typing import Any
def diag(tensor: ChargeArray) -> Any:
"""
Return a diagonal `BlockSparseTensor` from a `ChargeArray`, or
return the diagonal of a `BlockSparseTensor` as a `ChargeArray`.
For input of type `BlockSparseTensor`:
The full diagonal is obtained from finding the diagonal blocks of the
... | 996cea2164d867fa67812fac8f156d4851eaaf6e | 38,721 |
def _setup(app):
"""Hooks for actions performed before each request.
"""
if settings.ROLLBAR_API_KEY:
@app.before_first_request
def init_rollbar(): # pylint: disable=unused-variable
"""If rollbar is not installed but ROLLBAR_API_KEY is set, there
will be an exception... | 50ded12be19dd9f97b1459ee445ef83169580f5b | 38,722 |
import math
def box_heightmap(box: BoxCorner, hm: HeightMap, qp_a: QP, qp_b: QP) -> Contact:
"""Returns contact between a box corner and a height map."""
# Note that this only checks box corners against height map surfaces, and is
# missing box planes against height map points.
pos, vel = qp_a.to_world(box.co... | ac7e63eba9c29fa945710aa05a958f97083a7804 | 38,723 |
def rjmcmc_chisq_convergence(k, thin=1, sparse=False,
split=True, merge_cells=True,
correction=True,
use_likelihood_ratio=False,
class_lookup=None,
min_expected_count=5):
... | a91033ce32dc164591cd070144e8da0b99a50f37 | 38,724 |
def remove_vars_match(mat,fmla):
""" Remove the variables bindings from a match. This is used to
prevent variable capture when applying the match to premises. Make sure free variables
are not captured by fmla """
res = dict((s,v) for s,v in mat.iteritems() if il.is_ui_sort(s))
sympairs = [(s,v) for ... | ed8082e28ee5195a7d8a6f3a54d510509759b477 | 38,725 |
def str_exp(exp, ak, den, diff=0.05):
"""
Function that returns a string k^(a/den) if the absolute difference between
the value a/den and the exponent ak is below diff.
Arguments:
exp -- initial string (given by the previous best estimation)
ak -- slope
den -- denominator of th... | deb5c74a938b81bb10f81724bcd50c7c683e901c | 38,726 |
def search(*, common: dict = Depends(common_parameters), type: SearchTypes):
"""Perform a search."""
if common["query_str"]:
models = [get_class_by_tablename(t) for t in type]
results = composite_search(
db_session=common["db_session"],
query_str=common["query_str"],
... | 2b123874fcfd1aa174e5554a71ad669d575ea090 | 38,727 |
from re import T
def stack(x, axis=0):
"""Join a sequence of tensors along a new axis """
return T.stack(x, axis=axis) | 76dd3b65db7d3011ba5d223104a686ee5ed9e219 | 38,728 |
import typing
def or_value(
maybe_value: typing.Optional[typing.Any],
fallback_value: typing.Any,
) -> typing.Any:
"""Return maybe_value if not None; otherwise, return fallback_value.
Parameters
----------
maybe_value
The value to test and return if it is not None.
fallback_value
... | 6f67fac29fb56b68ef5701a30b0fd6527fb1cc1b | 38,729 |
import argparse
def parse_arguments(solving_methods):
"""
Main CLI for interfacing with Monte Carlo Sudoku Solver.
Arguments:
solving_methods: tuple(str)
Methods for solving sudoku puzzles.
Returns:
argparse.Namespace
Argparse namespace containg CLI inputs.
... | 33c5419f4cd3944ee2fe39adbb2cd9776bb5a566 | 38,730 |
def form_from_fields(name, form=forms.Form, fields={}):
"""
Returns a forms.Form class with a name, `name`, a Form baseclass, `form`, and
a dictionary of fields, `fields`.
"""
return DeclarativeFieldsMetaclass(name, (form,), fields) | 16d355a14257b430b1eb802ca7b4996562351f48 | 38,731 |
def make_enumeration(entries, divider=', '):
"""
:param entries:
:param divider:
:return:
"""
enumeration = {
'type': 'enumeration',
'entries': entries,
'divider': divider
}
return enumeration | 0fee40bf69613944b57f2d1967ee0cdb87e7493b | 38,732 |
def list_available_node_types():
"""returns the friendly names of all available node types
"""
return list(type_map.keys()) | f51536b4a399f6dd73a491f6cf48f954946a1ef3 | 38,733 |
from typing import Union
def sitk_binary_fill_holes(labels: np.ndarray,
fill_border: bool = True,
iterations: Union[int, bool] = False,
kernel_radius: int = 4,
max_length: int = 45,
i... | d228bdcedda3a21450fb4e4e7f2d2823fe493c92 | 38,734 |
def h(P, T, region = 0):
"""Specific enthalpy [kJ / kg]"""
if region is 0:
region = idRegion(P, T)
if region is 1:
return region1.h(P, T)
elif region is 2:
return region2.h(P, T)
else:
return 0.000 | 6b38283b79eb6bc63088885aac5e0096c37064bd | 38,735 |
def instagram_posts(username, limit=12):
"""
Put a list of Instagram posts into the template context.
"""
CACHE_KEY = "instagram_%s" % username
posts = cache.get(CACHE_KEY)
# Serve from cache if available
if posts is not None:
return posts[:limit]
# Else, fetch and store in cac... | e8f9c94fa5d472921c271cd8f30b36d293139a54 | 38,736 |
from chainer import gradient_check
from chainer import testing
import numpy
import unittest
import attr
def unary_math_function_unittest(func, func_expected=None, label_expected=None,
make_data=None):
"""Decorator for testing unary mathematical Chainer functions.
This decorat... | 9d9e8ef3f8948d56be4f5c547c9aaed4e2d68a04 | 38,737 |
def establish_connection() -> storage.client.Client:
"""
Establish a connection to Google Cloud Storage storing agriculture data.
:return: client connection
"""
storage_client = storage.Client.from_service_account_json(find('Agriculture.json', '/home'))
return storage_client | e2409745ddc0174f2feb242789de437998f1170b | 38,738 |
def is_authenticated_decorator(function):
"""Декоратор, чтобы не пускать неавторизованных пользователей"""
def wrapper(request, *args, **kwargs):
"""Если пользователь авторизован -> вернем функцию, иначе переведем на страницу логина"""
if is_authenticated_user(request):
return functi... | 2a5f894dc45abcecd8bf4591116d90bc18cb1d42 | 38,739 |
def preprocess_text(sentence):
"""
前處理，處理奇怪的輸入。例如：'i'，需要轉成大寫。
"""
cleaned = []
words = sentence.split(' ')
for w in words:
if w == 'i':
w = 'I'
if w == "i'm":
w = "I'm"
cleaned.append(w)
return ' '.join(cleaned) | b70bf2f454dba8de6bf639f66369755bcf474948 | 38,740 |
import subprocess
import sys
def start_generator(name):
"""
Start a generator, given its partial name.
* Closes stdin
* Redirects stdout to stderr (so that it doesn't conflict with i3bar)
Returns a Popen object of the started process.
"""
exename = find_generator(name)
proc = subproc... | fd8003f4ac31b6ac63ccd0e12b3ff255399d1baf | 38,741 |
def compact(number):
"""Convert the number to the minimal representation. This strips
surrounding whitespace and separation dash."""
return clean(number, '.,- ').upper().strip() | 2b1471cdc8d524bf02d18719acb708ebbe8cdd13 | 38,742 |
import os
import time
def predict_bert_multitask(
inputs,
problem='weibo_ner',
model_dir='',
params=None,
problem_type_dict={},
processing_fn_dict={},
model=None):
"""Evaluate Multi-task Bert model
Available eval_scheme:
ner, cws, acc
Keywo... | 948c7c5d7c9fc4e7a10c5518287053be9feda4b4 | 38,743 |
import os
def get_season_team_pbp_folder(season):
"""
Returns the folder containing team pbp logs for given season
:param season: int, current season
:return: str, /scrape/data/teams/pbp/[season]/
"""
return os.path.join(get_team_data_folder(), 'pbp', str(season)) | 2c62834edfa590c320356224bfb33a51e82999c8 | 38,744 |
def draw_candidate_matchings(members, min_size, n_candidates, initial_seed=0):
"""Create multiple random groupings in list-format.
Args:
members (pd.Series): Integer series with indeces over which we group.
min_size (int): Minimum group size.
n_candidates (int): Number of candidate grou... | a927242dcb130e1b881605f595961d777a7bc7d3 | 38,745 |
def get_module_name():
"""
モジュール名取得
Return:
モジュール名
"""
return __name__ | 45836eb290ff628baf9082829b9e95d9d4e45d78 | 38,746 |
import torch
def torch_ravel_multi_index(multi_index, dims=None, device=None, strides_=None):
"""
Implementation of `numpy.ravel_multi_index` for torch Tensors
Args:
multi_index (List[Tensor] | Tensor) : either a list of indices for
each dimension, or a tensor containing the same infor... | d7f79c6266b75aab29974e698e5d62ef6319f952 | 38,747 |
def get_base_folder(image_file):
"""The base folder"""
return '/'.join(image_file.split('/')[:-6]) | 14f212e80d57b71d2b379d2f5024c8f89ea438f3 | 38,748 |
def parse(fname):
"""
XMLファイルから内容をパースしてフィールドと値を格納した辞書を返す
"""
tree = ET.parse(fname)
root = tree.getroot()
parsed = []
for e in root.getiterator():
cur_dict = e.attrib.copy()
cur_dict['elem'] = e.tag
parsed.append(cur_dict)
# for child in root:
# ... | 89ea2c62c64f09be9a99c0bd86b83854c83d4c20 | 38,749 |
import requests
import os
import tqdm
def download(url, dst, verbosity=True):
"""
@param: url to download file
@param: dst place to put the file
"""
file_size = int(requests.head(url).headers["Content-Length"])
if os.path.exists(dst):
first_byte = os.path.getsize(dst)
else:
... | 8a5371cd909c644ad57faa6b1a8723cddb64cac7 | 38,750 |
import tqdm
def optimization_hyperopt_loo(imgs, grades, args, loss, groups=None):
"""Optimizes hyperparameters for MRELBP and local standardization using tree of Parzen estimators
and leave-one-out split for training multiple optimizations.
Parameters
----------
imgs : list
List of input ... | 8935728576840238fdb8694612c2015de01fd071 | 38,751 |
def latex_plt(matplotlib):
""" This function updates the matplotlib library to use Latex and changes some default plot parameters
:param matplotlib: Matplotlib instance
:return: Updated matplotlib instance
"""
# Use Latex for matplotlib
pgf_with_latex = {
"font.family": "serif",
... | 06042b9625d6cf1a7d56144962ae0795f1f73e34 | 38,752 |
def _str_n_grade(df: pd.DataFrame, grade: str) -> str:
"""Print the number of cards with grade `grade`."""
n_cards = len(df)
n_grade = len(df[(df["grade"]) == grade])
perc = round((n_grade / n_cards) * 100, 2)
return (
f"– The number of cards with grade {grade} is {n_grade} "
f"of {... | 91cee7bb1f8faae1cf60c279b95d1cca7912fb19 | 38,753 |
def add_nodes_elements_from_bmesh(structure, bmesh, line_type=None, mesh_type=None, thermal=False):
"""
Adds the Blender mesh's nodes, edges and faces to the Structure object.
Parameters
----------
structure : obj
Structure object to update.
bmesh : obj
Blender mesh object.
... | d91515963245554df2c5a09a2a0b2827c13e5314 | 38,754 |
from datetime import datetime
def _makefilename(lidvid: str, ts: datetime, kind: str, ext: str) -> str:
"""Make a filename.
Make a PDS filename for the given ``lidvid`` by dropping its URN prefix, splitting it into
LID and VID, adding the date part of the ``ts`` timestamp, slapping on the ``kind`` of fil... | 6d9cc048ccb61d51c1ee328edc8da15a2ae3797f | 38,755 |
import logging
def extract(client, output_path, index):
"""
Scroll an index with a match-all query, dumping document source to ``outdir/documents.json``.
:param client: Elasticsearch client used to extract data
:param output_path: Destination directory for corpus dump
:param index: Name of index ... | 089abc87d722adb000d9db4c7f125ee21e12aa3d | 38,756 |
from astroquery.gaia import Gaia
import getpass
def gaia_log_in(gaia_user = None, gaia_paswd = None):
"""
This routine log in to the Gaia archive.
"""
while True:
try:
Gaia.login(user=gaia_user, password=gaia_paswd)
print("Welcome to the Gaia server!")
break
except... | 76d004d22ac981fc635279b70652c899c903a1c7 | 38,757 |
import re
def parse_class(name, doc):
"""
Extract a class declaration from a docstring.
"""
match = re.search(r"class ({}(\([^)]*\))?):".format(name), doc)
csig = match.group(1)
start = match.start()
end = doc.find("```", start)
doc = doc[start:end]
variables = []
start = doc... | ed42aa330cf817df7fd35dced37b55010e38ff71 | 38,758 |
def is_acceptable_smiles(smile: str, allowed_chars=SMILES_ENCODING_['indices_token'].values(),
min_len=SMILES_ENCODING_['min_smiles_len'], max_len=SMILES_ENCODING_['max_smiles_len']):
""" Checks which smiles
Args:
smile: (str) smiles string
allowed_chars: (lst) list of ... | 7bef7d266caf9bfd540cc1d53b99bbc887bca140 | 38,759 |
from typing import List
from typing import Union
def parse_planes(
planes_to_parse: List[Union[int, str]], n_planes: int, default: Union[int, List[int]] = 0,
name: str = 'planes'
) -> List[int]:
"""
Get a set of planes from a list of plane indexes and ranges.
Parameters
----------
planes_... | 5bed291bf525fe06a709563f73490277aff6a600 | 38,760 |
def get_api(api_id):
"""Get a single api.
Args:
api_id (int): The id of the api.
Returns:
dict: The api.
"""
api = API.query.get(api_id)
if not api:
abort(404)
return api.to_dict() | 3031ff5ad6b0b0eaa0f57d9c1a1e706a08afa246 | 38,761 |
import math
def calc_distance(x1, y1, x2, y2):
"""
Calculate the distance between 2 point given the coordinates
:param x1: Point 1 X coordinate
:param y1: Point 1 Y coordinate
:param x2: Point 2 X coordinate
:param y2: Point 2 Y coordinate
:return: Double. Distance between point 1 and poi... | dd143ed5dd088c8a4d205c47363cd463798796d9 | 38,762 |
def list_perceel_adapter(obj, request):
"""
Adapter for rendering a list of
:class: `crabpy.gateway.capakey.Perceel` to json.
"""
return {
'id': obj.id,
'sectie': obj.sectie,
'capakey': obj.capakey,
'percid': obj.percid
} | 7c20a79e492433acdbc31014ed4f9ab8f3d18115 | 38,763 |
def parse_fqdn(session, fqdn):
""" Break an fqdn (string) and get some useful information from it.
Returns a tuple of the shortname (string), and DnsDomain object
"""
if not fqdn:
raise ArgumentError("No fully qualified name specified.")
(short, _, dns_domain) = fqdn.partition(".")
... | 9487d74b411f0d5aebfe857378983df8f69c093a | 38,764 |
def uniform_pdf(x):
""" Uniform Distribution(균등 분포) 확률 밀도 함수 """
return 1 if 0 <= x < 1 else 0 | 8aa049fc5ce2524edbfed892e4c0de1ce439ff58 | 38,765 |
def read_package_data_files():
"""Read package data files and return the text."""
with open(package_data_file(DATA_HTML_BASE),
'rt', encoding='utf-8') as f:
base_html = f.read()
with open(package_data_file(DATA_HTML_LICENSE),
'rt', encoding='utf-8') as f:
lic... | 03a96d7cb8f43f7588a51efa4f0816a3c01030cb | 38,766 |
def unit(value, unit, parenthesis=True):
"""Formats the numeric value of a unit into a string in a consistent way."""
formatted = f"{value:,g} {unit}"
if parenthesis:
formatted = f"({formatted})"
return formatted | fe039ec681a16e4a317f1a500c29ab44615addd1 | 38,767 |
from typing import Callable
from typing import Any
from typing import List
import numpy
def apply_along_axis(
func1d: Callable[[PolyLike], PolyLike],
axis: int,
arr: PolyLike,
*args: Any,
**kwargs: Any,
) -> ndpoly:
"""
Apply a function to 1-D slices along the given axis.
Execute `fun... | 00d537ec6dc12e421344064b236f209d0d8d2846 | 38,768 |
def get_matrix(vocab, token_pairs):
"""Get normalized matrix"""
# Build matrix
vocab_size = len(vocab)
g = np.zeros((vocab_size, vocab_size), dtype='float')
for word1, word2 in token_pairs:
i, j = vocab[word1], vocab[word2]
g[i][j] = 1
# Get Symmetric matrix
g = symmetrize(g... | aaf5737f06438d02c039c6b57e346967bd176967 | 38,769 |
def decode_landm_in_numpy(pre, priors, variances):
"""Decode landm from predictions using priors to undo
the encoding we did for offset regression at train time.
Args:
pre (tensor): landm predictions for loc layers,
Shape: [num_priors,10]
priors (tensor): Prior boxes in center-of... | 9e30bae72b3a4e9711a9ff38fa675af95e355235 | 38,770 |
def bulk_add_songs_to_playlist(playlist_id, songs, *args, **kwargs):
"""
"""
playlist = Playlist.objects.get(id=playlist_id)
songs_added = 0
failures = 0
failure_details = []
for song in songs:
try:
platform = get_platform(song.get('platform', 'revibe'))
so... | ae413eca648c41d0421f138d7abd9ae49302389d | 38,771 |
def execute_query(spec, connection_string=None):
"""
Setup a connection to a mongodb server and execute the given query.
:param spec: Mongo query spec.
:returns: Mongo curser.
"""
if connection_string is None:
connection_string = "mongo://localhost:27017/test"
if connection_string:
... | 2f23b2e32cdd004c836b12b6fd32010e224c17e3 | 38,772 |
def untlpydict2xml(untl_filename, untl_dict):
"""Return a UNTL file.
Takes a UNTL filename and a UNTL Python dictionary.
"""
return pydict2xml(untl_filename, untl_dict) | c2e1b1bef7484fc7761a775abfeeee18f1f7ceb4 | 38,773 |
def cityInit(ifInput, cityInput, *txtPath):
"""
随机产生城市矩阵
:param ifInput: 是否输入城市数量 bool
:param cityInput: 如果第一个参数为True, 填任意值, 否则填城市数量 int
:param txtPath: (可选)如果第一个参数为False, 也可以选择文件输入, 文件有三列, 第一列是序号, 第二列是横坐标, 第三列是纵坐标 string
:return: 城市数量 int, 城市坐标 list, 城市之间的距离矩阵 ndarray
city.txt示例:
1 9860 14152
... | 004e68d459f325a141a4ca3865bef874699e030e | 38,774 |
def deduce_left_margin(properties_of_keywords_in_resume, structural_properties_of_resume):
"""Takes the smallest left margin that has more than 2 occurrences in all_caps_properties and
entire_match_properties. If both left_margin matched it returns the left_margin immediately. If not,
it returns the left_ma... | a5abdf66814d00b5edd85f77a262e02da134890b | 38,775 |
def __datetime_representer(dumper, data):
"""
Ensures that datetime objects are represented correctly."""
value = data.isoformat("T")
return dumper.represent_scalar("tag:yaml.org,2002:timestamp", value) | b1a51f29d17b40223595723474c605e430a80aa1 | 38,776 |
def normalize_val_list(val_list):
"""Returns a list of numeric values by the size of their maximum
value."""
max_val = float(max(val_list))
return [ val/max_val if max_val != 0 else 0 for val in val_list ] | f594a6c281253bc181e436d1e1e3e1a83d07b56c | 38,777 |
def policy_threshold(threshold, belief, loc):
"""
chooses whether to switch side based on whether the belief on the current site drops below the threshold
Parameters
----------
threshold (float): the threshold of belief on the current site,
when the belief is lower than the... | 31b50a3093ba60d59e0c23eb11f2f20f76065e81 | 38,778 |
import click
def run(torrent, output_location):
"""Console script for pytorrent.cli.run."""
click.echo("Replace this message by putting your code into " "pytorrent.cli.run")
pt = PyTorrent(torrent)
pt.start()
pt.create_files(output_location)
return 0 | 8529c2eb3e1a59c3945a264f4458e06f981ceafc | 38,779 |
def create_standard_serializer_class(model_cls):
"""Creates serializer class for the Django model specified.
Created serializer will declare all model fields,
will have "url" #HyperlinkedIdentityField pointing at detail view for the entity
and will inherit #OptimizeUrlFieldsSerializer and #JsFriendlyFi... | 59df8920281a38e9651efdeb4be014535c519229 | 38,780 |
import warnings
def choose_representation(adata,
rep=None,
n_pcs=None):
"""Get representation of multivariate data.
Args:
adata (anndata.AnnData): Multidimensional morphological data.
rep (str): Key in .obsm.
n_pcs (int): Number of p... | 85938af3be930ce707a5f9a51992da373686498b | 38,781 |
def sieve(iterable, indicator):
"""Split an iterable into two lists by a boolean indicator function. Unlike
`partition()` in iters.py, this does not clone the iterable twice. Instead,
it run the iterable once and return two lists.
Args:
iterable: iterable of finite items. This function will sca... | 55f64a2aea55af05bd2139328157e3a877b8f339 | 38,782 |
import datasets
import torch
def Flowers_dataloader(root, quat_data, img_size, normalize, batch_size, num_workers=2, eval=False):
"""102 Oxford Flowers dataloader with resized and normalized images."""
name = '102 Oxfrod Flowers'
print('Dataset:', name)
if not eval:
dataset = datasets.ImageFol... | 373c15c4ff23a91309235d6ed8de9e0700ce2939 | 38,783 |
import logging
def documents(title):
"""Document page."""
logging.debug("Calling document page endpoint...")
logging.info("Get textfiles...")
text = get_textfile(title)
logging.info("Get document-topics distributions...")
document_topic = pd.read_json(get_document_topic_distributions(), orient... | 1297e94c589301040c42201aee050c244c633b47 | 38,784 |
import re
def property_to_snake_case(property_type):
"""Converts a property type to a snake case name.
Parameters
----------
property_type: type of PhysicalProperty of str
The property type to convert.
Returns
-------
str
The property type as a snake case string.
"""
... | fc0aa1c811a2de0bbd77f146a1816e8d7a31e08a | 38,785 |
import argparse
def get_args():
"""
Supports the command-line arguments listed below.
function to parse through args for connecting to ESXi host or
vCenter server function taken from getallvms.py script
from pyvmomi github repo
"""
parser = argparse.ArgumentParser(
description='Pro... | 2162e8df47c6c72bec08d16a45bfa754b4f223df | 38,786 |
def standardize(data: np.ndarray) -> list:
"""
Standardize input values
(x - x.mean) / x.standard_deviation
Args:
data (np.ndarray): Input data
Returns:
[type]: Standardized input data
"""
return np.array((data - np.mean(data)) / np.std(data), dtype=np.float32) | d1c7d5571f745c6f426772987be69c08faee88c1 | 38,787 |
def add_component(componentName, entityId, entity_type=entity.EntityType().Game):
"""
Given a component name, finds component TypeId, adds to given entity, and verifies successful add/active state.
:param componentName: String of component name to add.
:param entityId: Entity to add component to.
:r... | 29c53076e2a6eb6a13e6cfc0611f01803d3cbf7c | 38,788 |
def pad_sequence(sequence, max_length, embeddings_dict, pad_token = 'EOS'):
""" Adds EOS tokens until sequence length is max_length. """
n = len(sequence)
padded = sequence.copy()
if n < max_length:
if type(padded) is np.ndarray:
padded = np.append(padded, [embeddings_dict[pad_toke... | 8f31ffa8ba5e9a7d96913564164670196d833b1d | 38,789 |
from typing import Tuple
from typing import List
from operator import concat
def _parse_frequencies(result: Tuple, frequency_ids: List[int], frequencies: List[float], amplitudes: List[float]) -> df:
"""
Parses the list of frequencies from the result of FCombLibrary. The resulting frequencies are simply a list... | 07964a8cc31a0665598b68129d4b64ac8bc873c8 | 38,790 |
def read_binary(filepath):
"""return bytes read from filepath"""
with open(filepath, "rb") as file:
return file.read() | 98587f79b5a2d8b8ff82909cb03957c0b3e2db7d | 38,791 |
def sra_valid_accession(accession):
""" Test whether a string is an SRA accession """
if accession.startswith('SRR') and len(accession) == 10:
return True
return False | 3a4c5f40490f68490620ddacb430a0fcc8dfdd89 | 38,792 |
import pickle
def get_model_names():
"""Helper function that abstracts logic for getting names of all models
associated with the function"""
if 'models' in session:
models = pickle.loads(session.get('models'))
else:
models = {}
return list(models.keys()) | dbcee7582cf5e9118fc63d8c7a5bbb09f66f669a | 38,793 |
def alaska_transform(xy):
"""Transform Alaska's geographical placement so fits on US map"""
x, y = xy
return (0.3*x + 1000000, 0.3*y-1100000) | 3f86caeee7b34295ce0680017dd70d6babea2a62 | 38,794 |
async def mb(bucket: str) -> bool:
""" Make bucket """
async with _create_client() as client:
try:
await client.create_bucket(Bucket=bucket)
logger.info(f'Make bucket "{bucket}".')
except ClientError:
return False
return True | 6b6ff926870204f9028f3c482df94ea44f763480 | 38,795 |
import requests
import json
def get_user_simple_list(access_token, dept_id):
"""
获取部门用户信息
:return:
{
"errcode": 0, # 返回码
"errmsg": "ok", # 对返回码的文本描述内容
"hasMore": false, # 在分页查询时返回，代表是否还有下一页更多数据
"userlist": [
{
"userid": "zhangsan", # 员工id
"name": "张三" #... | 4fe63f8a8554015e02193005023181aa22ec23a5 | 38,796 |
import json
def err_resp(code: int, msg: str, err_subcode=None):
"""
generate error response
:param code: error code
:param msg: error msg
:param err_subcode: specific error details
:return: JsonResponse
"""
return json({
"ok": False,
"code": code,
"msg": msg,
... | 4de735610564989ba5fdd1d581cd3b0525a1778b | 38,797 |
def req(reqrep, address, rep):
"""The REQ socket."""
req, rep = reqrep
req.connect(address)
return req | 3cb4deb9e29256fc591ac59c3a1f756e48ff844b | 38,798 |
def networkIPv4_deploy(request, network_id):
"""Deploy network L3 configuration in the environment routers for network ipv4
Receives optional parameter equipments to specify what equipment should
receive network configuration
"""
log.debug("networkIPv4_deploy")
networkipv4 = NetworkIPv4.get_by_... | 70964ba00dc31b36c813d11c7ce4dbf0743935b9 | 38,799 |
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