content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def view_folio_contact(request, folio_id=None):
"""
View contact page within folio
"""
folio = get_object_or_404(Folio, pk=folio_id)
if not folio.is_published and folio.author_id != request.user:
return render(
request,
'showcase/folio_is_not_published.html'
... | 0269fea6322486912cdd462961fb847ffd8d038a | 3,658,000 |
def faom03(t):
"""
Wrapper for ERFA function ``eraFaom03``.
Parameters
----------
t : double array
Returns
-------
c_retval : double array
Notes
-----
The ERFA documentation is below.
- - - - - - - - - -
e r a F a o m 0 3
- - - - - - - - - -
Fundamental ... | 3e3d1c7e650d6034ed0793e4f1bc8605e9e82e32 | 3,658,001 |
from datetime import datetime
import calendar
def get_dtindex(interval, begin, end=None):
"""Creates a pandas datetime index for a given interval.
Parameters
----------
interval : str or int
Interval of the datetime index. Integer values will be treated as days.
begin : datetime
D... | 32f0992365b075fb8601276bd3680c7db43a677e | 3,658,002 |
import numpy
def asanyarray(a, dtype=None, order=None):
"""Converts the input to an array, but passes ndarray subclasses through.
Parameters
----------
a : array_like
Input data, in any form that can be converted to an array. This includes scalars,
lists, lists of tuples, tuples, tupl... | c079d114ab224c487a65929b7710450262c66733 | 3,658,003 |
import os
def envi_header(inputpath):
"""
Convert a envi binary/header path to a header, handling extensions
Args:
inputpath: path to envi binary file
Returns:
str: the header file associated with the input reference.
"""
if os.path.splitext(inputpath)[-1] == '.img' or os.path... | 45df7507017676648cd4fae955da26916bbf4738 | 3,658,004 |
import base64
import struct
from datetime import datetime
def parse_fernet_timestamp(ciphertext):
"""
Returns timestamp embedded in Fernet-encrypted ciphertext, converted to Python datetime object.
Decryption should be attempted before using this function, as that does cryptographically strong tests on t... | 216d314c84679cc5806d6a483f68bff485375b36 | 3,658,005 |
def tagcloud(guids):
"""Get "tag cloud" for the search specified by guids
Same return format as taglist, impl is always False.
"""
guids = set(guids)
range = (0, 19 + len(guids))
tags = request.client.find_tags("EI", "", range=range, guids=guids, order="-post", flags="-datatag")
return [(tagfmt(t.name), t, False... | fb94fab24040b3c38a68a2731d9b1bba0cccd3bc | 3,658,006 |
def _ValidateContent(path, expected_content):
"""Helper to validate the given file's content."""
assert os.path.isfile(path), 'File didn\'t exist: %r' % path
name = os.path.basename(path)
current_content = open(path).read()
if current_content == expected_content:
print '%s is good.' % name
else:
try... | ddf6e3089f66d157f281655357753ff2b746d4a2 | 3,658,007 |
import os
from sys import path
def _test_image_path():
"""
A 100 x 50 pixel GeoTIFF image, with 0 as NODATA value
"""
return os.path.join(path, "test.tiff") | b719a46fc7cdec952953502473000a7adb9b4625 | 3,658,008 |
from typing import Optional
from typing import Sequence
def api_ofrecord_image_decoder_random_crop(
input_blob: remote_blob_util.BlobDef,
blob_name: str,
color_space: str = "BGR",
num_attempts: int = 10,
seed: Optional[int] = None,
random_area: Sequence[float] = [0.08, 1.0],
random_aspect_... | bcf8ad7deb97677e52b04e3204281a7ecc89c89c | 3,658,009 |
def student_add_information(adding_student_id, student_information):
"""
用于添加学生的详细信息
:@param adding_student_id: int
:@param student_information: dict or str
:@return : 运行状态(True or False)
"""
if type(student_information) == dict:
adding_information = student_information
elif type... | 8a44177b90c1f3e10077313f6765a4699ded676b | 3,658,010 |
from typing import Optional
import os
import importlib
def import_file_as_module(filename: str, name: Optional[str] = None) -> ModuleType:
"""
NOTE(2020-11-09|domanchi): We're essentially executing arbitrary code here, so some thoughts
should be recorded as to the security of this feature. This should not... | 5aa9a54f8a8ed4a42bc49f806c2ac38d01b8ccfa | 3,658,011 |
async def get_show_by_month_day(month: conint(ge=1, le=12), day: conint(ge=1, le=31)):
"""Retrieve a Show object, based on month and day, containing: Show
ID, date and basic information."""
try:
show = Show(database_connection=_database_connection)
shows = show.retrieve_by_month_day(month, d... | e774f61254a3d7cdfc9a49ca1a9eea4f65853f55 | 3,658,012 |
import random
def generate_random_tag(length):
"""Generate a random alphanumeric tag of specified length.
Parameters
----------
length : int
The length of the tag, in characters
Returns
-------
str
An alphanumeric tag of specified length.
Notes
-----
The ge... | b62a103663b69f0a27d8ba23134473dc01932409 | 3,658,013 |
import io
def loadmat(filename, check_arrays=False, **kwargs):
"""
Big thanks to mergen on stackexchange for this:
http://stackoverflow.com/a/8832212
This function should be called instead of direct scipy.io.loadmat
as it cures the problem of not properly recovering python dictionaries
fr... | 3b054cbabc03b468ec0c80a4ed544b1c054ef223 | 3,658,014 |
def _export_output_to_tensors(export_output):
"""Get a list of `Tensors` used in `export_output`.
Args:
export_output: an `ExportOutput` object such as `ClassificationOutput`,
`RegressionOutput`, or `PredictOutput`.
Returns:
a list of tensors used in export_output.
Raises:
ValueError: ... | 913c1b232f8ac6e66e9104c055c9d34726db1027 | 3,658,015 |
import logging
def train_city_s1(city:str, pollutant= 'PM2.5', n_jobs=-2, default_meta=False,
search_wind_damp=False, choose_cat_hour=False, choose_cat_month=True,
add_weight=True, instr='MODIS', op_fire_zone=False, op_fire_twice=False, op_lag=True, search_tpot=False,
main_data_folder: str ... | 43cd4ff89068feba1bca3c316e40b19f852c1da2 | 3,658,016 |
def constructCbsdGrantInfo(reg_request, grant_request, is_managing_sas=True):
"""Constructs a |CbsdGrantInfo| tuple from the given data."""
lat_cbsd = reg_request['installationParam']['latitude']
lon_cbsd = reg_request['installationParam']['longitude']
height_cbsd = reg_request['installationParam']['height']
... | aff6a37f7831a185a7c1a3168c42a692768ae4e9 | 3,658,017 |
def download_raw_pages_content(pages_count):
"""download habr pages by page count"""
return [fetch_raw_content(page) for page in range(1, pages_count + 1)] | 77e369a986ff09887a71d996226d147fef9a36ec | 3,658,018 |
def tseries2bpoframe(s: pd.Series, freq: str = "MS", prefix: str = "") -> pd.DataFrame:
"""
Aggregate timeseries with varying values to a dataframe with base, peak and offpeak
timeseries, grouped by provided time interval.
Parameters
----------
s : Series
Timeseries with hourly or quart... | 6b97bc3b8c925be68ba79e8a9abdc2795500df76 | 3,658,019 |
def calc_buffered_bounds(
format, bounds, meters_per_pixel_dim, layer_name, geometry_type,
buffer_cfg):
"""
Calculate the buffered bounds per format per layer based on config.
"""
if not buffer_cfg:
return bounds
format_buffer_cfg = buffer_cfg.get(format.extension)
if f... | 5bbf9720525126e3dcd000329493c894c8249771 | 3,658,020 |
async def read_users_me(
current_user: models.User = Depends(security.get_current_active_user),
):
"""Get User data"""
return current_user | 4b2e37586a4e13074ec009f4cd7e64e7a357d539 | 3,658,021 |
import os
def cal_energy_parameters_for_one_channel(sub_sample_label_dict, channel, importance=1):
"""
the loss comes equally from four sources: connected component (0D), boundary (1D), area (2D), and rim_enhance
e.g. a small region with long boundaries means it accounts for lots of 1D loss and little of ... | 7d82fb2b2e232fee027971913475ff310b1b736e | 3,658,022 |
import logging
def get_logger(logfile):
"""Instantiate a simple logger.
"""
fmt = "%(levelname)s:%(filename)s:%(lineno)s:%(funcName)s: %(message)s"
#fmt = '%(levelname)s:%(filename)s:%(lineno)s:%(funcName)s:%(asctime)s: %(message)s']
datefmt = '%Y-%m-%dT%H:%M:%S'
logger = logging.getLogger(... | a3bd9387b745e3cb001a44c4f3c11488fef3c106 | 3,658,023 |
import logging
def __to_signed(val, bits):
"""
internal function to convert a unsigned integer to signed
of given bits length
"""
logging.debug(" in: value = %d", val)
mask = 0x00
for i in range(int(bits / 8)):
mask |= 0xff << (i * 8)
if val >= (1 << (bits - 1)):
va... | 618b02ad5a67c31a5942430ec64abcad59708ddd | 3,658,024 |
from typing import Iterable
from typing import Tuple
def compute_qp_objective(
configuration: Configuration, tasks: Iterable[Task], damping: float
) -> Tuple[np.ndarray, np.ndarray]:
"""
Compute the Hessian matrix :math:`H` and linear vector :math:`c` of the
QP objective function:
.. math::
... | 623997bbaf7ce92c39084fa44960593b55a0b3a0 | 3,658,025 |
def _is_existing_account(respondent_email):
"""
Checks if the respondent already exists against the email address provided
:param respondent_email: email of the respondent
:type respondent_email: str
:return: returns true if account already registered
:rtype: bool
"""
respondent = party_... | 4cb0462f748d0b80dbb12f89364d279a3436b632 | 3,658,026 |
import socket
def basic_checks(server,port):
"""Perform basics checks on given host"""
sock = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
# 2 seconds timeout
sock.settimeout(2)
return sock.connect_ex((server,int(port))) == 0 | 4a31521089feb2c178bb5202fa818804dfe87142 | 3,658,027 |
import time
def test(ipu_estimator, args, x_test, y_test):
"""
Test the model on IPU by loading weights from the final checkpoint in the
given `args.model_dir`.
"""
def input_fn():
dataset = tf.data.Dataset.from_tensor_slices((x_test, y_test))
dataset = dataset.prefetch(len(x_test... | 083c2c830315ccf2602109a4a3e718cecd1b6760 | 3,658,028 |
def _get_service():
"""Gets service instance to start API searches.
Returns:
A Google API Service used to send requests.
"""
# Create the AI Platform service object.
# To authenticate set the environment variable
# GOOGLE_APPLICATION_CREDENTIALS=<path_to_service_account_file>
return g... | 5d79698216626eff9618dc55b6b651a5da3f5187 | 3,658,029 |
def giq(scores, targets, I, ordered, cumsum, penalties, randomized, allow_zero_sets):
"""
Generalized inverse quantile conformity score function.
E from equation (7) in Romano, Sesia, Candes. Find the minimum tau in [0, 1] such that the correct label enters.
"""
E = -np.ones((scores.shape[0],))
... | 99a877053cf095622184cbbd9043b742c6ae076f | 3,658,030 |
def findUser(userId):
"""
:param userId:
:return: The user obj
Finds a particular user from a dataset.
"""
return user_collection.find_one({"user_id": userId}) | ffca934689c554993ca5d33005a32e4f9afe48cd | 3,658,031 |
def sub_sample_map(data, aug_map, n_input, n_output, n_teach, buffer):
"""
Expands an augmentation map to produce indexes that will allow
targets values of previous outputs to be used as inputs
"""
n_io = n_input + n_output
n_req = n_io
teach_range = range(n_teach)
tf_map = []
for ... | 05f88939ad2e293e3370f5585ad30f1d9d6256d1 | 3,658,032 |
def capture_flow(pkt_hist):
"""
Monitors the flow in the file.
:param pkt_hist: a list of raw eth packets
:return: 0 (No errors)
"""
closedby = []
global numFlows, flow_buffer, sent_buffer, ackd_buffer, received_buffer, retransmissions, end_ts, retransmissions_timeout, retransmissions_fast
... | 41a1628960aa4c95c2859fbbe10410fb49289d04 | 3,658,033 |
import time
import subprocess
import traceback
def run_customcheck_command(check):
"""Function that starts as a thread (future) to process a custom check command
Process a custom check command until a given timeout.
The result will be added to the cached_customchecks_check_data object.
proce... | aa4846d08190c16e4a1edb49d369ba093f767b3c | 3,658,034 |
def rcGetBBModelEnum():
""" Get the BeagleBone model as member of the BBModel Enum. """
return BBModel(rcGetBBModel()) | 90cf6857f2754a1947d017a1a57b11790d534c05 | 3,658,035 |
def ordToString(ordList):
"""Use this function to convert ord values to strings."""
newStrList = []
cstr = ""
for cint in ordList:
cstr += chr(cint)
if cint == 44:
newStrList.append(cstr[:-1])
cstr = ""
return newStrList | 5a836f7fe34803744de90aa2608e3d99a081c7ff | 3,658,036 |
def get_test_data_for_successful_build():
"""Returns a test data set of test suites and cases that passed.
"""
return _get_test_data(["PASSED", "PASSED", "PASSED"]) | 8969d33f887dcc7c7f7fb8148cbcfc7a4eb4d7c1 | 3,658,037 |
import re
import logging
def fromOldAdjacencyList(adjlist, group=False, saturateH=False):
"""
Convert a pre-June-2014 string adjacency list `adjlist` into a set of :class:`Atom` and
:class:`Bond` objects.
It can read both "old style" that existed for years, an the "intermediate style" that
existe... | 0c54ee172948437f9cb075c5880eb7eb25d2893f | 3,658,038 |
def read_arg_optional(
src, args, n_optional=-1, tolerance=0, mode=MODE_NON_MATH, skip_math=False):
"""Read next optional argument from buffer.
If the command has remaining optional arguments, look for:
a. A spacer. Skip the spacer if it exists.
b. A bracket delimiter. If the optional ar... | 641fe9ab9a96b6e59e15b115abe843fa09a07659 | 3,658,039 |
def searcheduxapian_ajax_get_schlagwort(request, item_container):
""" moegliche Schlagworte """
schlagworte = get_schlagworte(request.GET['query'])
res = '<items>\n'
for schlagwort in schlagworte:
res += '<schlagwort>\n<name><![CDATA[%s]]></name>\n</schlagwort>\n' % schlagwort.name
res += '</items>\n'
r... | 5a248ced5006d49f2dc303c68957d07ba187c3d5 | 3,658,040 |
def expanded_X_y_sample_weights(X, y_proba, expand_factor=10,
sample_weight=None, shuffle=True,
random_state=None):
"""
scikit-learn can't optimize cross-entropy directly if target
probability values are not indicator vectors.
As a workarou... | 7398062d3eb75fa68c39e20415b944e58a20387e | 3,658,041 |
def refine_uniformly(dom, seg):
"""
Refine all edges of the given domain and segmentation.
:param dom: Domain to refine
:type dom: :class:`viennagrid.Domain`
:param seg: Segmentation of the domain to refine
:type seg: :class:`viennagrid.Segmentation`
:returns: A two-element tuple containing the output domain... | 623b9fc2fa6c83133ca1e01714fecba7e70ab95e | 3,658,042 |
def rename_tuning(name, new_name):
"""rename tuning"""
session = tables.get_session()
if session is None:
return False, 'connect'
try:
tuning_table = TuningTable()
if not tuning_table.check_exist_by_name(TuningTable, name, session):
return False, 'tuning not exist'
... | 1ea1498483fc9abe0bb5be7a7c892c6a171b5df9 | 3,658,043 |
import logging
async def get_event(token: str, event_id: str) -> dict:
"""Get event - return new if no event found."""
event = {"id": event_id, "name": "Nytt arrangement", "organiser": "Ikke valgt"}
if event_id != "":
logging.debug(f"get_event {event_id}")
event = await EventsAdapter().get... | a071da872e9a2f670926da5b7a8d4644acaf237e | 3,658,044 |
import re
def _xfsdump_output(data):
"""
Parse CLI output of the xfsdump utility.
"""
out = {}
summary = []
summary_block = False
for line in [l.strip() for l in data.split("\n") if l.strip()]:
line = re.sub("^xfsdump: ", "", line)
if line.startswith("session id:"):
... | dbc7fbf9dced99b83a7dc5917c473a1dee16d749 | 3,658,045 |
def get_current():
"""Return the currently running interpreter."""
id = _interpreters.get_current()
return Interpreter(id) | 0949280d364cc6f2935b9109c19c508ed06352b8 | 3,658,046 |
def csstext(text: str, cls: str, span: bool=False, header: bool=False) -> str:
"""
Custom build HTML text element.
"""
if span:
tag = 'span'
elif header:
tag = 'h1'
else:
tag = 'p'
return f'<{tag} class="{cls}">{str(text)}</{tag}>' | 0833fd9d83143e09b5c234e193a8e53ef653112b | 3,658,047 |
def trans_exam_list_to_colum(example_list, headers=None):
"""
将example列表转换成以列表示的形式，用于适配输出附加信息
:param example_list: example 列表
:param headers: 需要的属性，默认为("question", "answer", "yes_or_no")
:return: {header1:[...]，header2:[...],...}
"""
if headers is None:
headers = ("question", "answer... | ff5a2e5f6e27ce0a32717e55ba35dbd864a11dbb | 3,658,048 |
def member():
""" RESTful CRUD Controller """
return s3_rest_controller() | 2f14df1f9b97ee4777c2ce0740207c691aedb1c2 | 3,658,049 |
from datetime import datetime
def _now():
"""Get EST localized now datetime."""
return EST_TIMEZONE.localize(datetime.datetime.now()) | a7a62b5f5febdbacab0c0ac1e6ef0de843f09a11 | 3,658,050 |
def pydantic_model_to_pandas(pydantic_model_input) -> pd.DataFrame:
"""
Function that transforms <pydantic.BaseModel> child objects to
<pandas.DataFrame> objects
:param pydantic_model_input: Input validator for API
"""
return dict_to_pandas(pydantic_model_input.dict()) | 8397c39d7c760ad44565a7b89013d95c241413ed | 3,658,051 |
def calculate_pair_energy(coordinates, i_particle, box_length, cutoff):
"""
Calculate the interaction energy of a particle with its environment (all other particles in the system) - rewrite
Parameters
----------
coordinates : list
The coordinates for all particles in the system
... | 42150ff5282731b13e4ac512c08fd71566f0bdb4 | 3,658,052 |
def simulation_activation(model, parcel_df, aerosols_panel):
""" Given the DataFrame output from a parcel model simulation, compute
activation kinetic limitation diagnostics.
Parameters
----------
model : ParcelModel
The ParcelModel
parcel_df : DataFrame used to generate the results to ... | 41461da13062177124ca4ebedc801ff5d574fbb8 | 3,658,053 |
import os
import sys
import logging
def create(options, args):
"""
Instantiate and return a Blueprint object from either standard input or by
reverse-engineering the system.
"""
try:
with context_managers.mkdtemp():
if not os.isatty(sys.stdin.fileno()):
try:
... | 556ac20f6b10c58011a99f217f8e4410faac6ee9 | 3,658,054 |
def create_config(
case=None, Exp='Dummy', Type='Tor',
Lim=None, Bump_posextent=[np.pi/4., np.pi/4],
R=None, r=None, elong=None, Dshape=None,
divlow=None, divup=None, nP=None,
returnas=None, strict=None,
SavePath='./', path=_path_testcases,
):
""" Create easily a tofu.geom.Config object
... | e9f855ff614cd511f730afd34c34e1d610b06a43 | 3,658,055 |
def is_project_description(description):
"""Validates the specified project description.
A valid description is simply a non-empty string.
Args:
description (str): A project description to validate.
Returns:
<bool, str|None>: A pair containing the value True if the specified descripti... | ef831f2ddeede75bb1dbd0730dccacba3e379c2b | 3,658,056 |
import json
def remove_friend():
"""
Accepts an existing friend request.
"""
data = json.loads(request.data)
friend_id = data['id']
user = interface.get_user_by_id(get_jwt_identity())
friend = interface.get_user_by_id(friend_id)
interface.remove_friendship(user, friend)
return '... | 0d5e2c390d5da7ff1869d907bbe85bcda80a9513 | 3,658,057 |
import functools
import logging
def ensure_configured(func):
"""Modify a function to call ``basicConfig`` first if no handlers exist."""
@functools.wraps(func)
def wrapper(*args, **kwargs):
if len(logging.root.handlers) == 0:
basicConfig()
return func(*args, **kwargs)
ret... | 2c04afd53ab9c7341fc4913485a8a1f7f7e7e1b3 | 3,658,058 |
from typing import Dict
from typing import Any
from typing import Optional
from typing import Type
def get_loss(dataset_properties: Dict[str, Any], name: Optional[str] = None) -> Type[Loss]:
"""
Utility function to get losses for the given dataset properties.
If name is mentioned, checks if the loss is co... | a9f75d6e2c35a0b9472e3fdc046f72eb1188e48d | 3,658,059 |
def ten_to_base(value : int, base):
"""Converts a given decimal value into the specified base.
:param value: The number to convert
:param base: The base to convert the specified number to
:return: The converted value in the specified base
"""
# Check if the base is 10, return the value
if... | 2f5ba92af48fe2ce19dbcb6001afadfde2514373 | 3,658,060 |
def get_style(selector, name):
"""
Returns the resolved CSS style for the given property name.
:param selector:
:param name:
"""
if not get_instance():
raise Exception("You need to start a browser first with open_browser()")
return get_style_g(get_instance(), selector, name) | 903e4abc09dc196d0d1dbbbb3c58869e3c0beb78 | 3,658,061 |
import inspect
def argmod(*args):
"""
Decorator that intercepts and modifies function arguments.
Args:
from_param (str|list): A parameter or list of possible parameters that
should be modified using `modifier_func`. Passing a list of
possible parameters is useful when a fu... | 5824d20568a3913be59941df0e4f657f05f08cc0 | 3,658,062 |
def group_update(group_id, group_min, group_max, desired):
"""
Test with invalid input
>>> group_update('foo', 2, 1, 4)
{}
"""
if group_min > group_max or desired < group_min or desired > group_max:
return {}
try:
client = boto3.client('autoscaling')
response = clien... | 77eef10b7db604a3aa2e32bdd0d226fb44cf07ab | 3,658,063 |
def remove_bookmark(request, id):
"""
This view deletes a bookmark.
If requested via ajax it also returns the add bookmark form to replace the
drop bookmark form.
"""
bookmark = get_object_or_404(Bookmark, id=id, user=request.user)
if request.method == "POST":
bookmark.delete()
... | 9c8442d5a313e7babf71b9f9a4c41452c65c5aab | 3,658,064 |
def parse_propa(blob):
"""Creates new blob entries for the given blob keys"""
if "track_in" in blob.keys():
muon = blob["track_in"]
blob["Muon"] = Table(
{
"id": np.array(muon)[:, 0].astype(int),
"pos_x": np.array(muon)[:, 1],
"pos_y... | ae7993d6e51287b6a88d125f63ef7d6edd001cf1 | 3,658,065 |
def parseParams(opt):
"""Parse a set of name=value parameters in the input value.
Return list of (name,value) pairs.
Raise ValueError if a parameter is badly formatted.
"""
params = []
for nameval in opt:
try:
name, val = nameval.split("=")
except ValueError:
... | b932f74c8e5502ebdd7a8749c2de4b30921d518b | 3,658,066 |
from ._sparse_array import SparseArray
def asnumpy(a, dtype=None, order=None):
"""Returns a dense numpy array from an arbitrary source array.
Args:
a: Arbitrary object that can be converted to :class:`numpy.ndarray`.
order ({'C', 'F', 'A'}): The desired memory layout of the output
... | 54bea22ab6fe8327b3a4df93ac9e4447b4d65fec | 3,658,067 |
def get_next_cpi_date():
"""
Get next CPI release date
"""
df = pd.read_html(r"https://www.bls.gov/schedule/news_release/cpi.htm")[0][:-1]
df["Release Date"] = pd.to_datetime(df["Release Date"], errors='coerce')
df = df[df["Release Date"] >= current_date].iloc[0]
df['Release Date'] = df['Rel... | e23b9bea0996ac442115163729ffeed1407e52b5 | 3,658,068 |
from typing import Tuple
from datetime import datetime
def date_arithmetic() -> Tuple[datetime, datetime, int]:
""" This function is used to calculate
what is the date after 3 days is given
and the differences between two given dates """
date1: str = "Feb 27, 2020"
date_2020: datetime = datetim... | 1e2d4681578ccab11612771589a46f22246071eb | 3,658,069 |
def get_words_from_line_list(text):
"""
Applies Translations and returns the list of words from the text document
"""
text = text.translate(translation_table)
word_list = [x for x in text.split() if x not in set(stopwords.words('english'))]
return word_list | aaa2a1476e887aa6a7d477d67528f838d6f229b9 | 3,658,070 |
def _get_name(dist):
"""Attempts to get a distribution's short name, excluding the name scope."""
return getattr(dist, 'parameters', {}).get('name', dist.name) | fd57e523c1a84a36f9ed56236e4b8db1e887575c | 3,658,071 |
def compute_mean_std(all_X):
"""Return an approximate mean and std for every feature"""
concatenated = np.concatenate(all_X, axis=0).astype(np.float64)
mean = np.mean(concatenated, axis=0)
std = np.std(concatenated, axis=0)
std[std == 0] = 1
return mean, std | b102a045705efdab8d9783e04da192ec30e167f7 | 3,658,072 |
def GenerateConfig(context):
"""Generates configuration."""
key_ring = {
'name': 'keyRing',
'type': 'gcp-types/cloudkms-v1:projects.locations.keyRings',
'properties': {
'parent': 'projects/' + context.env['project'] + '/locations/' + context.properties['region'],
'keyRingId': context.env['d... | 257b7217c1a08bba46866aff0b7faa1a03fe7fdc | 3,658,073 |
def get_valid_collapsed_products(products, limit):
"""wraps around collapse_products and respecting a limit
to ensure that uncomplete products are not collapsed
"""
next_min_scanid = get_next_min_scanid(products, limit)
collapsed_products = []
for scanid, scan in groupby(products, itemgetter(... | df3ffa503855a020c7c011aa58cba20243e19be4 | 3,658,074 |
def get_imd():
"""Fetches data about LA IMD status.
The "local concentration" measure is used -
this gives higher weight to particularly deprived areas
Source: http://www.gov.uk/government/statistics/english-indices-of-deprivation-2019
"""
imd = pd.read_csv(
PROJECT_DIR / "inputs/data/so... | 4e2495dda505bde8dd8ccf62234730a7227ffa97 | 3,658,075 |
def read_bgr(file):
"""指定ファイルからBGRイメージとして読み込む.
# Args:
file: イメージファイル名.
# Returns:
成功したらイメージ、失敗したら None.
"""
return cv2.imread(file, cv2.IMREAD_COLOR) | ee96842899ffefa0508218d0a4b721f2ae5a7efb | 3,658,076 |
def _remove_none_from_post_data_additional_rules_list(json):
"""
removes hidden field value from json field "additional_rules" list,
which is there to ensure field exists for editing purposes
:param json: this is data that is going to be posted
"""
data = json
additional_rules = json.get... | c82aa568f82ba4abcb8f4e6f9c770969277d078f | 3,658,077 |
import traceback
def add_email(request, pk):
"""
This Endpoint will add the email id into
the person contact details.
It expects personId in URL param.
"""
try:
request_data = request.data
email = request_data.get("email")
person = Person.objects.filter(id=pk).last... | 5669b442e7ef4fb3e5a22053c368e6a4b68cfeef | 3,658,078 |
from typing import Any
def coords_extracter():
"""Exctract coords to send command to robot.
To be executed inside of xarm_hand_control module."""
SKIPPED_COMMANDS = 5
COEFF = 22
current = [0]
def coords_to_command(data: Any):
current[0] += 1
if current[0] < SKIPPED_COMMANDS:... | 930cef91e517751da3c3fb441543ab736be6aa23 | 3,658,079 |
def NO_MERGE(writer, segments):
"""This policy does not merge any existing segments.
"""
return segments | 0742365f30d59cb219ac60483b867180bd910ba8 | 3,658,080 |
import gzip
import shutil
def save_features():
"""
Writes extracted feature vectors into a binary or text file, per args.
:return: none
"""
extractor = args.extractor
features = []
if extractor == 'multi':
features = extract_multi()
elif extractor == 'single':
feature... | 65fd172aa0ff0283111c9e8148eb33a1160255d3 | 3,658,081 |
def build_ntwk(p, s_params):
"""
Construct a network object from the model and
simulation params.
"""
np.random.seed(s_params['RNG_SEED'])
# set membrane properties
n = p['N_PC'] + p['N_INH']
t_m = cc(
[np.repeat(p['T_M_PC'], p['N_PC']), np.repeat(p['T_M_INH'], p['N_INH... | 88a5b5c73edf015d9b2b4137db874252f63a3571 | 3,658,082 |
def createAaronWorld():
"""
Create an empty world as an example to build future projects from.
"""
# Set up a barebones project
project = makeBasicProject()
# Create sprite sheet for the player sprite
player_sprite_sheet = addSpriteSheet(project, "actor_animated.png", "actor_animated", "act... | 7326aee61ee4977ccc422955fbd33c6a51b13e37 | 3,658,083 |
def builtin_ljustify(s, w, p):
"""Left-justify a string to a given width with a given padding character."""
sv = s.convert(BStr()).value
pv = p.convert(BStr()).value
return BStr(sv.ljust(w.value, pv)) | dda28d65d1916a7e01aa36e7b90ee5ba98329c58 | 3,658,084 |
import os
def package_files(directory):
"""package_files
recursive method which will lets you set the
package_data parameter in the setup call.
"""
paths = []
for (path, _, filenames) in os.walk(directory):
for filename in filenames:
paths.append(os.path.join('..', path, f... | e043de9a9e8ed9092f933df00b167b092ba6abaa | 3,658,085 |
def get_effective_router(appname):
"""Returns a private copy of the effective router for the specified application"""
if not routers or appname not in routers:
return None
return Storage(routers[appname]) | dd0e3ccc8d05864b5a324541129845e5f82c2669 | 3,658,086 |
def is_activated(user_id):
"""Checks if a user has activated their account. Returns True or false"""
cur = getDb().cursor()
cur.execute('SELECT inactive FROM users where user_id=%s', (user_id,))
inactive = cur.fetchone()[0]
cur.close()
return False if inactive is 1 else True | 704a5c3462be3612e5cd44057ee082d612ae8aa9 | 3,658,087 |
import base64
import json
def _encode(dictionary):
"""Encodes any arbitrary dictionary into a pagination token.
Args:
dictionary: (dict) Dictionary to basee64-encode
Returns:
(string) encoded page token representing a page of items
"""
# Strip ugly base64 padding.
return base... | e9a490e659a3a0e6d546fd2ab4dd89a5f6a748af | 3,658,088 |
from typing import List
from pathlib import Path
import tempfile
import gc
import os
def remove_duplicates_sharded(
files: List[Path],
outputs: List[Path],
hashes_dir: FilesOrDir,
field: str,
group_hashes: int = 1,
tmp_dir: Path = None,
min_len: int = 0,
):
"""Remove duplicates in seve... | 6ab2477cd3c3fb513af2fbb4808c0279212b1cd2 | 3,658,089 |
def selectPlate(plates, jdRange, normalise=False, scope='all'):
"""From a list of simulated plates, returns the optimal one."""
# Gets the JD range for the following night
nextNightJDrange = _getNextNightRange(jdRange)
# First we exclude plates without new exposures
plates = [plate for plate in pl... | f48207a9be002e6b2295d4100e02ffaddde779e8 | 3,658,090 |
from typing import Union
def get_events(
raw: mne.io.BaseRaw,
event_picks: Union[str, list[str], list[tuple[str, str]]],
) -> tuple[np.ndarray, dict]:
"""Get events from given Raw instance and event id."""
if isinstance(event_picks, str):
event_picks = [event_picks]
events = None
for e... | d1b5c961160848607a40cfcb5b2ba8a47625ab21 | 3,658,091 |
def transplant(root, u, v):
"""
注意， 这里要返回root， 不然修改不了
"""
if u.parent == None:
root = v
elif u.parent.left == u:
u.parent.left = v
else:
u.parent.right = v
if v:
v.parent = u.parent
return root | cadf0433399e428596d1d0d4ab200e4d79285d21 | 3,658,092 |
def is_head_moderator():
"""
Returns true if invoking author is a Head Moderator (role).
"""
async def predicate(ctx: Context):
if not any(config.HEAD_MOD_ROLE in role.id for role in ctx.author.roles):
raise NotStaff("The command `{}` can only be used by a Head Moderator.".format(ctx... | 22f80251190d914d38052e67ca8fe47279eab833 | 3,658,093 |
def compute_adj_matrices(type, normalize=True):
"""
Computes adjacency matrices 'n', 'd' or 's' used in GCRAM.
"""
# Get channel names
raw = mne.io.read_raw_edf('dataset/physionet.org/files/eegmmidb/1.0.0/S001/S001R01.edf', preload=True, verbose=False).to_data_frame()
ch_names = raw.columns[2:]... | cecf0c94c5d1efe6c6210949736377d5d7d454c4 | 3,658,094 |
from typing import Optional
def build_census_chart(
*, alt, census_floor_df: pd.DataFrame, max_y_axis: Optional[int] = None, use_log_scale: bool = False
) -> Chart:
"""
This builds the "Admitted Patients" census chart, projecting total number of patients in the hospital over time.
Args:
alt: ... | 315329e593e116dbf63fb02772bf9394722feb90 | 3,658,095 |
def hasNonAsciiCharacters(sText):
"""
Returns True is specified string has non-ASCII characters, False if ASCII only.
"""
sTmp = unicode(sText, errors='ignore') if isinstance(sText, str) else sText;
return not all(ord(ch) < 128 for ch in sTmp); | c1627d1a0a26e7c4d4e04c84085197ba44b5e640 | 3,658,096 |
def draw_matches(image_1, image_1_keypoints, image_2, image_2_keypoints, matches):
""" Draws the matches between the image_1 and image_2.
(Credit: GT CP2017 course provided source)
Params:
image_1: The first image (can be color or grayscale).
image_1_keypoints: The image_1 keypoints.
... | d2984de4c542fca7dda3863ad934e9eddc14a375 | 3,658,097 |
def copy_ttl_in():
"""
COPY_TTL_IN Action
"""
return _action("COPY_TTL_IN") | a01acb2645e033ad658435e9ca0323aec10b720c | 3,658,098 |
import torch
from typing import Optional
def neuron_weight(
layer: str,
weight: torch.Tensor,
x: Optional[int] = None,
y: Optional[int] = None,
batch: Optional[int] = None,
) -> Objective:
"""Linearly weighted channel activation at one location as objective
:param layer: Name of the l... | 646966613249a02468e00b91157fd43459d246bb | 3,658,099 |
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