content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import math
def severe_obesity_wfl(gender, length, weight, units='metric', severity=1):
"""
Returns a boolean indicator for a zscore determining if the reading is classified as severely obese from:
https://jamanetwork.com/journals/jamapediatrics/fullarticle/2667557.
NOTE: This should only be used for ... | c6de69ec90d278b69fb802ce8a435502b1668644 | 3,635,285 |
def calc_Flesh_Kincaid_Grade_rus_flex(n_syllabes, n_words, n_sent):
"""Метрика Flesh Kincaid Grade для русского языка с константными параметрами"""
if n_words == 0 or n_sent == 0: return 0
n = FLG_X_GRADE * (float(n_words) / n_sent) + FLG_Y_GRADE * (float(n_syllabes) / n_words) - FLG_Z_GRADE
return n | 93467f013107660f3b8ad03ac882e857434fbc45 | 3,635,286 |
import signal
def psd(x: np.ndarray, delf: float, type_psd: list, n: float = None) -> np.ndarray:
"""Returns 2d array of PSD computed with specified method
Args:
x (np.ndarray): Values in time domain
delf (float): Sampling Rate
type (list): [x, y] x=0 psd, x=1 psd density && y=0 stand... | 0efeb38798ddda5d09a4e3c762f1ebbed69c50da | 3,635,287 |
def comment(request):
"""留言功能"""
if request.method == "POST":
form = CommentForm(request.POST)
blog_id = request.POST["blog_id"]
user = request.user
if form.is_valid():
new_comment = form.save(commit=False)
new_comment.user = user
new_commen... | a3f8cf5beed1edf3156817aaa0e36e377256d4b1 | 3,635,288 |
def calculate_height_filtration(
graph,
direction,
attribute_in='position',
attribute_out='f',
):
"""Calculate height filtration of a graph in some direction.
*Note*: This function works for *all* vector-valued attributes of
a graph, but in the following, it will be assumed that those
a... | 79010055e4a61862267b4cb9e9f5ebc9c3d1cdca | 3,635,289 |
def read_file(file_name, encoding='utf-8'):
"""
读文本文件
:param encoding:
:param file_name:
:return:
"""
with open(file_name, 'rb') as f:
data = f.read()
if encoding is not None:
data = data.decode(encoding)
return data | 4e4a90512727b4b40d4968930479f226dc656acb | 3,635,290 |
def cbf_qei(gm, wm, csf, img, thresh=0.8):
"""
Quality evaluation index of CBF base on Sudipto Dolui work
Dolui S., Wolf R. & Nabavizadeh S., David W., Detre, J. (2017).
Automated Quality Evaluation Index for 2D ASL CBF Maps. ISMR 2017
"""
def fun1(x, xdata):
d1 = np.exp(-(x[0])*np.po... | d52badc74cc01c615afa0a0a5cdab1d040d110e5 | 3,635,291 |
import sqlite3
def calendar():
"""page for all events"""
events = get_all_events(sqlite3.connect(DB_NAME).cursor())
return render_template("calendar.html", events=events) | bf6c1f12cb2261dc68389c56b8c92a4dbe879fda | 3,635,292 |
def _ui_device_family_plist_value(ctx):
"""Returns the value to use for `UIDeviceFamily` in an info.plist.
This function returns the array of value to use or None if there should be
no plist entry (currently, only macOS doesn't use UIDeviceFamily).
Args:
ctx: The Skylark context.
Returns:
... | 8d6669fcdaf02f1ef254dc77910f2e2e9dfa5126 | 3,635,293 |
def map_amplitude_grid(
ds_ind,
data_columns,
stokes='I',
chunk_size:int=10**6,
return_index:bool=False
):
"""
Map functions to a concurrent dask functions to an Xarray dataset with
pre-computed grid indicies.
Parameters
----------
ds_ind : xarray.dataset
An... | f363f1bc8de2eb58d5d6ecca529e0d8fca255496 | 3,635,294 |
def fetch_query(query, columns):
"""
Creates a connection to database, returns query from specified table
as a list of dictionaries.
Input: query: a SQL query (string)
Returns: pairs: dataframe of cursor.fetchall() response in JSON pairs
"""
# Fetch query
response = fetch_query_records(q... | 75465b0a920a19ca339c732bfe5b8ca4c356a9a5 | 3,635,295 |
import logging
def fetch(key):
"""Gets snapshots referenced by the given instance template revision.
Args:
key: ndb.Key for a models.InstanceTemplateRevision entity.
Returns:
A list of snapshot URLs.
"""
itr = key.get()
if not itr:
logging.warning('InstanceTemplateRevision does not exist: %s... | c567a0e76c602936b7fd018c8824c6d3cce0d70d | 3,635,296 |
def EFI(data, period=13):
"""
Elder Force Index
EFI is an indicator that uses price and volume to assess the power behind a move or identify possible turning
points.
:param pd.DataFrame data: pandas DataFrame with open, high, low, close data
:param int period: period used for indicator calcula... | ae644c82a5dc4fd304fd17f9939e427eccb47468 | 3,635,298 |
def Gdelta(GP, testfunc, firstY, delta=0.01, maxiter=10, **kwargs):
"""
given a GP, find the max and argmax of G_delta, the confidence-bounded
prediction of the max of the response surface
"""
assert testfunc.maximize
mb = MuBound(GP, delta)
_, optx = cdirect(mb.objective, testfunc.bounds, m... | 0a74a922cba87cfccc4a63e1195abe4dca8b6d9c | 3,635,299 |
def xirrcal(cftable, trades, date, startdate=None, guess=0.01):
"""
calculate the xirr rate
:param cftable: cftable (pd.Dateframe) with date and cash column
:param trades: list [trade1, ...], every item is an trade object,
whose shares would be sold out virtually
:param date: string of date... | a01d874ae4a79202aec373f2b1c0b1b2b0904f10 | 3,635,300 |
def calc_synch_kappa(b, ne, delta, sinth, nu, E0=1.):
"""Calculate the relativstic synchrotron absorption coefficient κ_ν.
This is Dulk (1985) equation 41, which is a fitting function assuming a
power-law electron population. Arguments are:
b
Magnetic field strength in Gauss
ne
The den... | 546cbdf24459fa7cac6e9b1465b94b63ed722ebf | 3,635,301 |
def random_rotation():
"""Generate a 3D random rotation matrix.
Returns:
np.matrix: A 3D rotation matrix.
"""
x1, x2, x3 = np.random.rand(3)
R = np.matrix([[np.cos(2 * np.pi * x1), np.sin(2 * np.pi * x1), 0],
[-np.sin(2 * np.pi * x1), np.cos(2 * np.pi * x1), 0],
... | a8b68784973bdccea5331fa685cf8f86a00de04a | 3,635,302 |
def outdir_project(outdir, project_mode, pd_samples, mode):
"""
"""
# Group dataframe by sample name
sample_frame = pd_samples.groupby(["new_name"])
dict_outdir = {}
for name, cluster in sample_frame:
if (project_mode):
#print ("Create subdir for every sample: ", mode)
sample_dir = create_subfolder('dat... | c59ab5d985820fbbff0ea876a6e4623fc00dc1e0 | 3,635,303 |
def _get_percentage_bid_offer(df_with_positions, day, daily_spread_percent_override):
"""Defines the daily spread used in computation."""
if daily_spread_percent_override is not None:
daily_spread_percentage = daily_spread_percent_override
else:
try:
daily_spread_percentage = df_... | 7515eb5117eaaac45e89259d5d9d2b8efccb955c | 3,635,304 |
def getChoice(options: list):
"""
Only for Windows and MacOS
"""
# showOptions = '\n'.join(options)
# print(showOptions)
print("操作選項")
for i in range(len(options)):
print(f"{i+1}. {options[i]}")
choice = input(': ')
clearScene()
return choice | 936936d82e20e459af75fa80a3aae650bb4e45e3 | 3,635,305 |
def label_accuracy_score(label_trues, label_preds, n_class):
"""Returns accuracy score evaluation result.
- overall accuracy
- mean accuracy
- mean IU
- fwavacc
"""
hist = np.zeros((n_class, n_class))
for lt, lp in zip(label_trues, label_preds):
hist += fast_hist(lt.flatten(), lp... | 23fbcfea1942ca86bb306f2cb0b8855bc5652749 | 3,635,306 |
def Update(name, notification_emails, enrolled_services, update_mask):
"""Get the access approval settings for a resource.
Args:
name: the settings resource name (e.g. projects/123/accessApprovalSettings)
notification_emails: list of email addresses
enrolled_services: list of services
update_mask: ... | a09577e797c39e3b5b82b50bf37855569721ca52 | 3,635,308 |
from datetime import datetime
def training(request):
"""Renders the training page."""
assert isinstance(request, HttpRequest)
return render(
request,
'magic/training.html',
{
'title':'Training',
'year':datetime.now().year,
}
) | 60d916e0e4f44b9b617c8bbc7f3d8800f37634fd | 3,635,309 |
def MOP(
directed = False, preprocess = "auto", load_nodes = True, load_node_types = True,
load_edge_weights = True, auto_enable_tradeoffs = True,
sort_tmp_dir = None, verbose = 2, cache = True, cache_path = None,
cache_sys_var = "GRAPH_CACHE_DIR", version = "2022-02-01", **kwargs
) -> Graph:
"""Ret... | 044bbec68722598ce858012d8272755d652a8fbc | 3,635,310 |
import warnings
def stetson_sharpness(temp, middle, mask, d):
"""Stetson compute of sharpness."""
mask = np.array(mask) # work with a copy
mask[middle, middle] = 0
sharp = temp[middle, middle] - (np.sum(mask*temp))/np.sum(mask)
with warnings.catch_warnings():
warnings.simplefilter('ignore... | bce6ab472b7a96b2575687215788355cdac56529 | 3,635,311 |
def add_variant_to_variant_set(prim, variant_set_name, variant_name):
"""
Adds a new variant to given variant set in prim
:param prim: Usd.Prim
:param variant_set_name: str
:param variant_name: str
:return: Usd.Variant
"""
variant_set = get_variant_set(prim, variant_set_name)
if not... | f77643eb26e703045825c7e728c338e6c4e4abfb | 3,635,312 |
def load_data(messages_filepath, categories_filepath):
"""
Load messages_file and categories_file
Args:
messages_filepath: csv file with the disaster messages
categories_filepath: csv file with the categories for disaster messages
Returns: a file that is merge of the two input files
... | fafd059d8847b7bd0b5c39f9f690bd52e79bd6da | 3,635,313 |
def _cmd(cmd):
"""Utility function to run commands."""
result = __salt__["cmd.run_all"](cmd)
if result["retcode"]:
raise CommandExecutionError(result["stdout"] + result["stderr"])
return result["stdout"] | e9d0de256d849cb562e3a83ea93f2766d9ce48cb | 3,635,314 |
from typing import Union
from typing import Tuple
from typing import Optional
def min(
x: Union[ivy.Array, ivy.NativeArray],
axis: Union[int, Tuple[int]] = None,
keepdims: bool = False,
out: Optional[Union[ivy.Array, ivy.NativeArray]] = None,
) -> ivy.Array:
"""Calculates the minimum value of the ... | f875d77a73a554c96c3361134822c761a5a8751a | 3,635,315 |
def bkg_3d():
"""Example with simple values to test evaluate"""
energy = [0.1, 10, 1000] * u.TeV
energy_axis = MapAxis.from_energy_edges(energy)
fov_lon = [0, 1, 2, 3] * u.deg
fov_lon_axis = MapAxis.from_edges(fov_lon, name="fov_lon")
fov_lat = [0, 1, 2, 3] * u.deg
fov_lat_axis = MapAxis.f... | cccf110037d2ed9b10b9877e7e413a3d48efe9b3 | 3,635,316 |
import requests
import pickle
def pd_read_pickle(fname):
"""
Read the :class:`.PupilData`-object `pdobj` from file using :mod:`pickle`.
Parameters
----------
fname: str
filename or URL to load data from
Returns
-------
pdobj: :class:`.PupilData`
... | 2d92966fcb9834026e352fb01a3a7e3c7f18e5bf | 3,635,317 |
def checkLevel(n):
"""
Check if a level, identified by its name, exists
return :
- Boolean
call example :
chechLevel(1)
"""
levelsList = getLevelsList()
levelExists = False
for level in levelsList:
if "natas"+str(n) == level["name"]:
levelExists = True
break
return levelExists | 72b6e15464462da7e91c88253a64002063da7845 | 3,635,318 |
def get_payload(dataset, site_code, year):
"""returns payload needed for a post request
to get EANET csv files"""
if dataset == "dry_deposition_auto":
item_code = 2
elif dataset == "dry_deposition_filter_pack":
item_code = 3
elif dataset == "dry_deposition_passive_sampler":
... | 6ba2b6b75debb3369869e29f36c5e8a2adec0bf1 | 3,635,320 |
def safe_encode(s, coding='utf-8', errors='surrogateescape'):
"""encode str to bytes, with round-tripping "invalid" bytes"""
return s.encode(coding, errors) | 1b1ba8439db8ec4c82c571197e5007e58f397c87 | 3,635,321 |
def group_required(*group_names):
"""
Requires user membership in at least one of the groups passed in.
"""
def in_groups(u):
if u.is_authenticated:
if u.is_superuser or bool(u.groups.filter(name__in=group_names)):
return True
return False
return user_p... | 2c021dd4f71d804bc1e656d5de1a4194bd4131cf | 3,635,322 |
def initialize_service(storage_socket, logger, service_input, tag=None, priority=None):
"""Initializes a service from a API call.
Parameters
----------
storage_socket : StorageSocket
A StorageSocket to the currently active database
logger
A logger for use by the service
service_... | 4274ba9e7ad1c6bf59155704c0dec2b54c0869ea | 3,635,323 |
import collections
def extract_stats(output):
"""Extract stats from `git status` output
"""
lines = output.splitlines()
return collections.Counter([x.split()[0] for x in lines]) | 41d8aef4df3401ee8127ad0b72402ff9c54c41e3 | 3,635,324 |
def save_csv(filename, shape_features, centroid_features, label_features=None,
mode='w'):
"""
Create and save a .csv file containing all the features (shapes, centroids
and labels)
Parameters
----------
filename : string
full name (path and name) of the .csv file
... | d40cca38c0670bcbd0c67e2d63c670b1033e29e7 | 3,635,326 |
from typing import Optional
from typing import Union
from typing import Pattern
def turn_connect(start: Port, end: Port, radius: float, radius_end: Optional[float] = None, euler: float = 0,
resolution: int = DEFAULT_RESOLUTION, include_width: bool = True) -> Union[Pattern, Curve]:
"""Turn connect... | 7d9e1572b22a2066f5468d6fad159364f00dd9f4 | 3,635,327 |
import base64
import struct
import hmac
import hashlib
import time
def GoogleAuth(key):
"""
谷歌验证码
# RFC 协议下有HOTP和TOTP 前者是计数 后者是计时 生成验证码
# hopt 由 RFC 协议 RFC4266
# google auth 用的是TOTP 而TOTP是在HOTP的基础上计时
:return:
"""
def get_hotp_token(secret, intervals_no):
"""This is where the... | 3a2df9626a7f2f5705b1286dcc18c1eae0b331a4 | 3,635,328 |
def adjust_opts(in_opts, config):
"""Establish JVM opts, adjusting memory for the context if needed.
This allows using less or more memory for highly parallel or multicore
supporting processes, respectively.
"""
memory_adjust = config["algorithm"].get("memory_adjust", {})
out_opts = []
for ... | f932224902df9d61efbd6390447e41813280c3a6 | 3,635,330 |
import binascii
def from_address(text, v4_origin=ipv4_reverse_domain,
v6_origin=ipv6_reverse_domain):
"""Convert an IPv4 or IPv6 address in textual form into a Name object whose
value is the reverse-map domain name of the address.
*text*, a ``str``, is an IPv4 or IPv6 address in textual ... | c66d8357c955b177a201ad6f94fb98aeaf72d909 | 3,635,332 |
import time
def blog_claim():
"""Blog info
If the user (check the username) has already bought the item or its author, To display the content of the article .
:param
blog_id ,token , address
:return:
{
"msg": {
"author": "0x035EB55d4260455075A8418C4B94Ba6... | ce4344a01f6f71afadc078c6d3bed3b26f5540ee | 3,635,333 |
def _expr_rshift_as_multiplication_of_reverse_order(lhs, rhs):
"""The multiply express will reverse order.
"""
return rhs * lhs | 4f245d8a8071cf4bcfc6543e0abae24cb1cdde9d | 3,635,335 |
def pathsuboption(option, attr):
"""Decorator used to declare a path sub-option.
Arguments are the sub-option name and the attribute it should set on
``path`` instances.
The decorated function will receive as arguments a ``ui`` instance,
``path`` instance, and the string value of this option from ... | 08b7f4134b79038a4df77b27d52504fc49df07a6 | 3,635,336 |
import numpy
def CalculateHarmonicTopoIndex(mol):
"""
#################################################################
Calculation of harmonic topological index proposed by Narnumi.
---->Hato
Usage:
result=CalculateHarmonicTopoIndex(mol)
Input: mol is a molecule object
... | 65984702d49071f18089cdf17b1ba4a21b70357e | 3,635,337 |
import functools
def record_metrics(func):
"""
The metrics decorator records each time a route is hit in redis
The number of times a route is hit and an app_name query param are used are recorded.
A redis a redis hash map is used to store each of these values.
NOTE: This must be placed before the... | 768804fed0b77bac58f59cc8773f1dfc1acfc0f8 | 3,635,338 |
def is_long_path(path: PathOrString) -> bool:
"""
A long path is a path that has more than 260 characters
"""
return len(str(path)) > MAX_PATH_LENGTH | 4fc9798364c4bf8499c042273685f085476b93b5 | 3,635,339 |
def build_model():
"""
Builds up the SoundNet model and loads the weights from a given model file (8-layer model is kept at models/sound8.npy).
:return:
"""
model_weights = np.load('models/sound8.npy').item()
model = Sequential()
model.add(InputLayer(batch_input_shape=(1, None, 1)))
fil... | 6ba2d75389f03d6636e353d5a03c6416b9478251 | 3,635,340 |
def open(
urlpath,
mode="rb",
compression=None,
encoding="utf8",
errors=None,
protocol=None,
newline=None,
**kwargs
):
""" Given a path or paths, return one ``OpenFile`` object.
Parameters
----------
urlpath: string or list
Absolute or relative filepath. Prefix w... | 4d0be7fe29d8d76a057a4eeb4736e21f80400a55 | 3,635,341 |
def evaluate_surface(name, oname=None, mesh=False, topology=False, intersections=False, collisions=0, opts={}):
"""Evaluate properties of surface mesh"""
argv = ['evaluate-surface-mesh', name]
if oname:
argv.extend([oname, '-v'])
argv.extend(['-threads', str(threads)])
if mesh: argv.appe... | faa5309818e7ac4e740adf1fbaa9665d519c3b5b | 3,635,343 |
def uu_query_STK_STATUS_CHANGE():
"""
上市公司状态变动
获取上市公司已发行未上市、正常上市、实行ST、*ST、暂停上市、终止上市的变动情况等
:param :query(finance.STK_STATUS_CHANGE)：表示从finance.STK_STATUS_CHANGE这张表中查询上市公司的状态变动信息，还可以指定所要查询的字段名，格式如下：query(库名.表名.字段名1，库名.表名.字段名2），多个字段用英文逗号进行分隔；query函数的更多用法详见：sqlalchemy.orm.query.Query对象
finance.... | 1e23ddfb233f6ad1231008ac760cc70a9b8b84ce | 3,635,344 |
def add_custom_encoder_arguments(group):
"""Define arguments for Custom encoder."""
group.add_argument(
"--enc-block-arch",
type=eval,
action="append",
default=None,
help="Encoder architecture definition by blocks",
)
group.add_argument(
"--enc-block-repea... | f49a778b78351a08bdb411e8004d00da0ccd96a4 | 3,635,345 |
def expost_te(returns, bmk_returns, periods):
"""
Calculate the EX-POST Tracking Error. Returns a Dataframe of rolling Ex-Post Tracking Error Annualized
"""
temp = pd.concat([pd.DataFrame(returns) - pd.DataFrame(bmk_returns)], axis=1)
temp = temp.dropna()
temp.columns = ["returns", "bmk_returns"... | d8c5de00eb415ad318f6a9c5c397efb8ba2004b7 | 3,635,346 |
def cruise_control(wn,zeta,T,vcruise,vmax,tf_mode='H'):
"""
Cruise control with PI controller and hill disturbance.
This function returns various system function configurations
for a the cruise control Case Study example found in
the supplementary article. The plant model is obtained by the
li... | 61be0dc8f6688d602efad01203a4f65f5f51613d | 3,635,347 |
import itertools
def svd(a, compute_uv=True, sort=True, copy=True, eps=1e-9):
""" Performs singular value decomposition of a ds-array via the one-sided
block Jacobi algorithm described in Arbenz and Slapnicar [1]_ and
Dongarra et al. [2]_.
Singular value decomposition is a factorization of the form A... | 5bc0c65b0b730625e13b918681d384285771d59e | 3,635,349 |
def renameID(idFrom, idTo, identifiedElements, referringNodes):
"""
Changes the ID name from idFrom to idTo, on the declaring element
as well as all nodes in referringNodes.
Updates identifiedElements.
Returns the number of bytes saved by this replacement.
"""
num = 0
definingNode = ... | 2d081eb4f5892b53f7f2d6ffb1f72e21ce1e3f89 | 3,635,350 |
def rotate_hue(im, x):
"""
Adjust the hue of *im* by *x*, where *x* is a value between 0.0 to 1.0.
Full red to full green is 1/3, red to blue is 2/3.
"""
assert im.mode == 'RGB'
ima = np.asarray(im) / 255
ima_hsv = colors.rgb_to_hsv(ima)
ima_hsv[...,0] = (ima_hsv[...,0] + x) % 1
ima... | 4f1a6805e3cf59009013631a394899c5135facd7 | 3,635,351 |
def Pa_2_psig(value):
"""
converts pressure in abs Pa (Pascal) to gauged psig (pound-force per square inch)
:param value: pressure value in Pa
:return: pressure value in psi
"""
return value / const.psi - 14.7 | d34671a458f6796134ab80eeddcb3c9f0f637a25 | 3,635,353 |
def get_vedges_details(customer, api_response_data, query_condition):
"""
Parses JSON response and builds CSV file with vEdge details
All other devices, such as vBond, vSmart are excluded
:param query_condition: filter
:param customer: string to build correct directory to store CSV files
:param... | 6b0971b8eaff9b70eaf42efd5ed65d6f6615ba04 | 3,635,354 |
def correct_errors(page, labels, bboxes, model):
"""Error correction.
parameters:
page - 2d array, each row is a feature vector to be classified
labels - the output classification label for each feature vector
bboxes - 2d array, each row gives the 4 bounding box coords of the character
model -... | 7561c3174d3ec214f5d469b7437d65339a08bcd0 | 3,635,356 |
def sign(x):
"""Returns sign of x"""
if x==0:
return 0
return x/abs(x) | 677dfd796b0ee354fbcaf78b58cf7a5a660446b5 | 3,635,357 |
import urllib
import json
def get_sources(category):
"""
function that gets response from the api call
"""
sources_url = base_url.format(category,api_key)
with urllib.request.urlopen(sources_url) as url:
sources_data = url.read()
sources_response = json.loads(sources_data)
... | e1c17709ba93cd0eba46a179bcabc638ebb631c5 | 3,635,358 |
def split(geometry, (dx_max, dy_max), (rx, ry), (bx0, by0, bx1, by1)):
""" Cut geometry to smaller blocks. """
#pylint: disable=invalid-name
def _get_sizes(v0, v1, dv_max, rv, bv0, bv1):
if rv > 0:
dv_max *= rv
if rv > 0:
vr0 = vr1 = 0.5*(rv*ceil((v1-v0)/rv) - (v1-v0... | bc7d6dd69768057195a2c5c75c91846355fdb21f | 3,635,359 |
from typing import Optional
import requests
import json
def execute_web_hook(hook_url: Optional[str], status_id: int) -> bool:
"""execute_web_hook
Discordに対してBOT用のデータを送る
Args:
hook_url (Optional[str]): webhook url
status_id (int): tweet id
Returns:
bool: hookに成功した場合はTrue失敗した... | f90696cf4cf03eacdc87e175776cbbc4138c4c2f | 3,635,361 |
from datetime import datetime
def handler_callback(callback, user):
"""
A method for handling callbacks
:param user: user object
:param callback: callback from telebot.types.CallbackQuery
:return: datetime.date object if some date was picked else None
"""
if callback == "prev" and user.c... | 27eb78f77d77543fe02a984751078cee96d38b06 | 3,635,362 |
import torch
def get_weight(df):
"""This will give weights to encounter imbalanced class problem"""
# Getting number of data points for each class
weight_count = df["sentiment"].value_counts(sort=False)
# print(weight_count)
# Weight of class c is the size of largest class divided by the size of... | 316e000ee262bf7324228c0ca6b752e6e2908510 | 3,635,363 |
from django.contrib.contenttypes.models import ContentType
def bestellungen(request):
""" Übersicht der abgeschlossenen Bestellungen
Es werden die Käufe vom Nutzer gesucht und in einem dict nach
Kategorien geordnet ausgegeben, folgende Kategorien:
- kommende Veranstaltungen
- elektronische Medi... | b2c87525c85a1e73737e7c373492cf5db5a02263 | 3,635,364 |
def comp_indexes_fcn(site, comp_name, n_inds):
"""
Returns an array of indexes to associate with new emissions
:param site: a GeneralClassesFunctions.simulation_classes.Site object
:param comp_name: name of a component contained in Site.comp_dict
:param n_inds: Integer of indexes to generate
:re... | 969727d7da3663bbca8f3733d0dab9f46d117d7b | 3,635,365 |
def update_cache_and_get_specs():
"""
Get all concrete specs for build caches available on configured mirrors.
Initialization of internal cache data structures is done as lazily as
possible, so this method will also attempt to initialize and update the
local index cache (essentially a no-op if it ha... | eabd2b4d356651de624946d6d8cff6e6aa501209 | 3,635,366 |
def sodium_unpad(s, blocksize):
"""
Remove ISO/IEC 7816-4 padding from the input byte array ``s``
:param s: input bytes string
:type s: bytes
:param blocksize:
:type blocksize: int
:return: unpadded string
:rtype: bytes
"""
ensure(isinstance(s, bytes), raising=exc.TypeError)
... | bdb86073a29b46ee3029ed0fe51b79ab6da2e7f8 | 3,635,367 |
from datetime import datetime
def find_lag(t,x,t_ref,x_ref):
"""
Report lag in time between x(t) and a reference x_ref(t_ref).
If times are already numeric, they are left as is and the lag is
reported in the same units.
If times are not numeric, they are converted to date nums via
utils.to_d... | aa30dfcb75847af9490077563438f0769775412d | 3,635,368 |
def classname(obj: _rinterface_capi.SupportsSEXP) -> str:
"""Name of the R class."""
res = dollar(obj, 'classname')
if res is not rpy2.robjects.NULL:
assert len(res) == 1
res = res[0]
return res | 4ad0e8a4d399802373f6a4d4bb480e76a8cec70d | 3,635,369 |
import inspect
def get_ofp_cls(ofp_version, name):
"""get class for name of a given OF version"""
(_consts_mod, parser_mod) = get_ofp_module(ofp_version)
for i in inspect.getmembers(parser_mod, inspect.isclass):
if i[0] == name:
return i[1]
return None | 179f24640c2539ce2fb38767d3bd7fd472049c95 | 3,635,370 |
import tempfile
def split_file(rows_per_file: int, inpath: str, dir):
"""Split file from inpath into multiple named tempfiles with delete set to
false, each containing rows_per_file number of rows.
All split files are placed in dir. The intent is to use this function with dir
as a TemporaryDirect... | 44b0723c5073a82d548daabd08d4e556012229a2 | 3,635,371 |
def HHCF(r, sigma, xi , alpha):
"""
Model for height-height correlation function. This model is suitable for fitting when data is present for both above and below the correlation length.
Inputs:
r: Numpy array. This contains the distance data which would be used for the x coordinate on a HHCF plot.... | 49542983271666400085dc050b1218a6759d7009 | 3,635,372 |
def process_reaction_with_product_maps_atoms(
rxn, skip_if_not_in_precursors=False
):
"""
Remove atom-mapping, move reagents to reactants and canonicalize reaction.
If fragment group information is given, keep the groups together using
the character defined with fragment_bond.
Args:
rx... | 107452f44d079bdfe9dafce82b2744f170c239d6 | 3,635,373 |
def echo_handler(completed_proc):
"""Immediately return ``completed_proc``."""
return completed_proc | 53f3ef51bf349ac5146014ef25b88326d5bc010e | 3,635,374 |
import time
import tqdm
from pathlib import Path
def render_path(
render_poses, hwf, K, chunk, render_kwargs, gt_imgs=None, savedir=None, render_factor=0,
fixed_viewdir=None):
"""
Render a batch of full images.
fixed_viewdir:
If a 4 x 4 matrix, use this view direction for all frames.
... | 29413d4306ba46c2ef069b7845e780df7bfcd764 | 3,635,375 |
def _check_pr(pr, cfg):
"""make sure a PR is ok to automerge"""
if any(label.name == "automerge" for label in pr.get_labels()):
return True, None
# only allowed users
if pr.user.login not in ALLOWED_USERS:
return False, "user %s cannot automerge" % pr.user.login
# only if [bot-auto... | 2ed229c393dffbaeec6822bd4e2492b6339c8fca | 3,635,376 |
from typing import Any
import joblib
def read_joblib(
bucket: str,
key: str,
) -> Any:
"""Read a joblib model from a given s3 bucket and key.
Parameters
----------
bucket : str
The S3 bucket to load from.
key : str
The object key within the s3 bucket.
Returns
----... | 90ff368b89b583678f2c41b3d2d76e9d66bc393b | 3,635,377 |
import random
def random_choice(choices):
"""returns a random choice
from a list of (choice, probability)"""
# sort by probability
choices = sorted(choices, key=lambda x:x[1])
roll = random.random()
acc_prob = 0
for choice, prob in choices:
acc_prob += prob
if roll <= acc_... | f477abe220fa9d87ee3692bed8c41973af4c637c | 3,635,379 |
def set_rdmol_positions_(mol, pos):
"""
Args:
rdkit_mol: An `rdkit.Chem.rdchem.Mol` object.
pos: (N_atoms, 3)
"""
assert mol.GetNumAtoms() == pos.shape[0]
conf = Chem.Conformer(mol.GetNumAtoms())
for i in range(pos.shape[0]):
conf.SetAtomPosition(i, pos[i].tolist())
... | 81ea738f5a548403f8860f055c7fa79be633e5cf | 3,635,380 |
import torch
def convert_label_to_color(label, color_map):
"""Convert integer label to RGB image.
"""
n, h, w = label.shape
rgb = torch.index_select(color_map, 0, label.view(-1)).view(n, h, w, 3)
rgb = rgb.permute(0, 3, 1, 2)
return rgb | a37ec3ad382f88bdc9de8fbc2b4e2524213607c3 | 3,635,381 |
def is_collection(name):
"""compare with https://developer.microsoft.com/en-us/graph/docs/api-reference/v1.0/resources/user"""
return name in [
'assignedLicenses', 'assignedPlans', 'businessPhones', 'imAddresses',
'interests', 'provisionedPlans', 'proxyAddresses', 'responsibilities',
's... | c2557f142f3ca066506256b273c9f65657079478 | 3,635,382 |
def unpack_list(string_: str):
"""
Recursively strip, split, translate and unpack provided string to the list.
:param string_: str -- string to be unpacked into the list
:return: list
"""
list_ = []
string2 = string_.replace("[", "", 1).strip("]")
elements = string2.split("], ") if "[" ... | 2271b4d67461ce20b4f11d77b47838a2689ba196 | 3,635,383 |
def in_nested_list(my_list, item):
"""
Determines if an item is in my_list, even if nested in a lower-level list.
"""
if item in my_list:
return True
else:
return any(in_nested_list(sublist, item) for sublist in my_list if
isinstance(sublist, list)) | 3daeaf89099bf19ba82eabfedd943adfb32fc146 | 3,635,385 |
def from_numpy_array(nparr, framerate):
"""
Returns an AudioSegment created from the given numpy array.
The numpy array must have shape = (num_samples, num_channels).
:param nparr: The numpy array to create an AudioSegment from.
:param framerate: The sample rate (Hz) of the segment to generate.
... | 4aa9e4e2f43de0bce106f0ddc685480a198b3255 | 3,635,386 |
import functools
def visits_stmt(node_cls):
"""Decorator that registers a function as a visitor for ``node_cls``.
:param node_cls: subclass of :class:`jinja2.nodes.Stmt`
"""
def decorator(func):
stmt_visitors[node_cls] = func
@functools.wraps(func)
def wrapped_func(node, macro... | d902269e56ff5d6cb839852f767c2cc63d91c990 | 3,635,388 |
def is_prebuffer() -> bool:
"""
Return whether audio is in pre-buffer (threadsafe).
Returns
-------
is_prebuffer : bool
Whether audio is in pre-buffer.
"""
is_prebuffer = bool(RPR.Audio_IsPreBuffer()) # type:ignore
return is_prebuffer | 8afa4979578be310fd71b22907c99bb747780454 | 3,635,389 |
def ad_reset_user_pwd_by_mail(user_mail_addr, new_password):
"""
通过mail重置某个用户的密码
:param user_mail_addr:
:return:
"""
conn = __ad_connect()
user_dn = ad_get_user_dn_by_mail(user_mail_addr)
result = conn.extend.microsoft.modify_password(user="%s" % user_dn, new_password="%s" % new_password... | 91237ac20805f3a4999c627cf74f9c2de90415d7 | 3,635,390 |
def get_data(name: str, override: bool=True) -> str:
"""
Obtiene el contenido del archivo SVG que coincida con el nombre.
Si override es False, se lanzará una excepción en caso de no encontrar el
archivo con el nombre indicado.
"""
if not ".svg" in name:
name += ".svg"
overri... | f8facd1ab9e37f7fc3e8ffb6cbbb5e9ea5161abb | 3,635,391 |
def array_read(array, i):
"""
This OP is used to read data at the specified position from the input array
:ref:`api_fluid_LoDTensorArray` . ``array`` is the input array and ``i``
is the specified read position. This OP is often used together with
:ref:`api_fluid_layers_array_write` OP.
Case 1... | ca7acc95c9ae8213a38a981c3d6c7c86b77a17a5 | 3,635,392 |
import requests
def get_user_posts (user_id, count, tags = None, expiry = None):
"""Get a user's Instagram posts.
Filter by tags and and max $count items.
Returns:
Response: the JSON items representing instagram posts.
"""
# create the cache key
cache_key = filecache.create_key('{us... | f2f4b95a9b7dd1b1e477ac8c5ffff0667f46466b | 3,635,393 |
def list_active_containers():
"""Return python list of all containers in state table
list of tuples
"""
containers = []
state_info = ContainerState.query.all()
for state in state_info:
containers.append([state.c_id, state.name])
return containers | 64b37ee392b981e264457a486651cbc9641ab0af | 3,635,395 |
import typing
def filter_imports(language: Language,
t: pydsdl.CompositeType,
sort: bool = True) -> typing.List[str]:
"""
Returns a list of all modules that must be imported to use a given type.
:param pydsdl.CompositeType t: The type to scan for dependencies.
:p... | e9171ff6b39e082e2e6e735366b890d689a3bed9 | 3,635,396 |
def compute_ramlak_filter(dwidth_padded, dtype=np.float32):
"""
Compute the Ramachandran-Lakshminarayanan (Ram-Lak) filter, used in
filtered backprojection.
:param dwidth_padded: width of the 2D sinogram after padding
:param dtype: data type
"""
L = dwidth_padded
h = np.zeros(L, dtype=d... | e8370f28d140de83d913fbddd71aadf5809b3fa4 | 3,635,397 |
def t_seg(p1, p2, t, align=0):
""" trim segment
Args:
p1, p2: point(x, y)
t: scaling factor (1 - trimed segment / original segment)
align: 1: trim p2, 2: trim p1, 0: both side
Return:
trimmed segment(p1, p2)
"""
v = vector(p1, p2)
result = {
1: lambda a, b: (a, tr... | 879f8cad825f0787d71a152a5d673f9269696870 | 3,635,398 |
def isomorphic(tt,ttt):
"""True if isomorphic."""
(a,b) = isomorphism(tt,ttt)
return (len(b) > 0) | e5f63e3a65fd9a6928940ad53a0fda745002ac03 | 3,635,399 |
def make_connector(name=None):
"""A connector between constraints"""
informant = None
constraints = []
def set_value(source, value):
nonlocal informant
val = connector["val"]
if val is None:
informant, connector["val"] = source, value
if name is not None:... | 46b6574b6e8965d56f71efa89a1d7389502f2867 | 3,635,400 |
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