content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def get_policy_list(cluster_name):
"""
获取存储策略列表
:param cluster_name:
:return:
"""
data = []
status = ''
message = ''
resp = {"status": status, "data": data, "message": message}
pm = PolicyManager(cluster_name)
try:
sfo_policys = pm.policys()
for policy in sfo_... | 5b53acebbd7eaf52975bf393a4b4f87c7fe7e550 | 33,404 |
def package_air_ticket(request):
""" view air ticket package for customer """
air_tickets = AirTicket.objects.all()[::-1]
package_air_tickets = PackageAirTicket.objects.all()[::-1]
context = {
'air_tickets': air_tickets,
'package_air_tickets': package_air_tickets,
'user_inf... | 0e7f70d3f49d6a5ef25f669d3f58768e933050b2 | 33,405 |
def CheckNodeJSPackage(package):
""" Check whether a node.js package is installed """
cmd = "node -e \"var d3=require('%s');\"" % package
x = RunCommand(cmd)
return x == 0 | ba6709f641548bab52aafdc589f4730268b3b778 | 33,406 |
import re
def compilable(tex):
"""Return tex-math content wrapped so that it can be compiled using tex."""
# remove "\usepackage{pmc}". It's not clear what the contents
# of this package are (I have not been able to find it), but
# compilation more often succeeds without it than with it.
tex = te... | 8381999e503194d7d9f2a1fbe751775a6bf48dd2 | 33,407 |
def filter_matches(matches, threshold=0.75):
"""Returns filterd copy of matches grater than given threshold
Arguments:
matches {list(tuple(cv2.DMatch))} -- List of tupe of cv2.DMatch objects
Keyword Arguments:
threshold {float} -- Filter Threshold (default: {0.75})
Returns:
li... | c2cbec1da42d96575eb422bfdda6a1351e24508b | 33,408 |
def V_PT(P, T, substance, eos = IDEAL_GAS):
"""Returns specific volume."""
mw = get_parameter(substance, 'molecular-weight')
Vmol = eos.Vmol_PT(P, T, substance)
return Vmol / mw | 776164131c2e59295bcdf1100697c5ca84931074 | 33,409 |
def checks(poly_fit_left, poly_fit_right,
poly_fitx_left, poly_fitx_right,
poly_fity):
"""Check if found lanes make sense."""
# check curvature
y_eval = np.max(poly_fity)
curvature_left = (((1 + (2*poly_fit_left[0]*y_eval +
poly_fit_left[1])**2)**1.5) /... | a5d2a807a29dfacc4b184aa591577161c3c5933c | 33,410 |
from pathlib import Path
def run(
dataset_file: str = Path.joinpath(DATA_DIR, "processed", "winequality_clean.csv"),
params_file: str = Path.joinpath(MODELS_DIR, "params.json").read_text(),
):
"""
Run the training process
"""
dataset = load_dataset(dataset_file)
train_test = split_dataset(... | f2f82baebe910a8ada8dbfe77791e33d2a72e168 | 33,411 |
import string
import random
def createRandomStrings(l,n,chars=None,upper=False):
"""create list of l random strings, each of length n"""
names = []
if chars == None:
chars = string.ascii_lowercase
#for x in random.sample(alphabet,random.randint(min,max)):
if upper == True: ... | 678b5aeb3cc98ae2b47822500fcbaff05081058a | 33,412 |
def create_model(reader_input, base_model=None, is_training=True, args=None):
"""
given the base model, reader_input
return the output tensors
"""
labels = reader_input[-1]
cls_feats = base_model.final_sentence_representation
cls_feats = fluid.layers.dropout(
x=cls_feats,
... | 9afcb97036c959ddf476e9844ab18cdf792ddbbd | 33,413 |
def shot_mix(df1):
"""
Calculates the average of the poisson models for shots and shots on target
"""
df1["H_att_Poi_mix"] = (3*df1["H_att_PoiS"] + 3*df1["H_att_PoiST"] + 2*df1["H_att_PoiG"]) / 8
df1["A_att_Poi_mix"] = (3*df1["A_att_PoiS"] + 3*df1["A_att_PoiST"] + 2*df1["A_att_PoiG"]) / 8
df1["H... | 6d7fe94ce4e90de26d0c5154ad2d0ae54d7409ca | 33,414 |
def jobs():
"""
lista de jobs
"""
rows = db(db.job).select(orderby=db.job.created_on)
return locals() | 067d7f9840cdd0ee52c7c2fefe3d5942170203c3 | 33,416 |
import base64
async def reserve_subdomain(request: Request, req: t.Optional[ReservationRequest] = None):
"""
Reserve a subdomain for use with an application.
If no subdomain is given, a random subdomain is reserved and returned.
If a set of SSH public keys is given, they are associated with the subd... | 11d56868f6a0f4439ada5ad0755333c1b0ad9f74 | 33,417 |
def get_previous_quarter(today):
"""There are four quarters, 01-03, 04-06, 07-09, 10-12.
If today is in the last month of a quarter, assume it's the current quarter
that is requested.
"""
end_year = today.year
end_month = today.month - (today.month % 3) + 1
if end_month <= 0:
end_year -= 1
end_mo... | 4175c80d2aa75c0e3e02cdffe8a766c4a63686d0 | 33,418 |
def extract_metadata(document):
"""Return the dict containing document metadata.
:param document:
:type document: :class:`docutils.nodes.document`
:returns: docinfo data from document
:rtype: dict
From: https://github.com/adieu/mezzanine-cli @ mezzanine_cli/parser.py
License: BSD (https://... | 8c097569d240cc32ffc4496eda0e1e14e5269052 | 33,420 |
import scipy
def ibp_loglik(Z, alpha):
"""Probability of an assignment matrix drawn from an IBP prior, where each customer chooses new dishes
consecutively from the end, but otherwise the columns are unordered."""
N, K = Z.shape
total = K * np.log(alpha)
new_dish_counts = np.bincount(first_custome... | 89178a93d32aefc7e1557363e27db4c6f2e9ee43 | 33,422 |
def neighbours(geohash):
"""
Returns all 8 adjacent cells to specified geohash::
| nw | n | ne |
| w | * | e |
| sw | s | se |
:param geohash: string, geohash neighbours are required of
:returns: neighbours as namedtuple of geohashes with properties n,ne,e,se,s,sw,w,nw
... | 1fd5a515e9e72cc62b98d7cda57592ae1faa1595 | 33,423 |
def get_payload(address):
"""
According to an Address object, return a valid payload required by
create/update address api routes.
"""
return {
"address": address.address,
"city": address.city,
"country": str(address.country),
"first_name": address.first_name,
... | 34fde5090aae774a24a254ea7dd7f03cc0f784be | 33,424 |
def new_alphabet(shift):
"""
:param shift: int, The magic number that user input to produce shifted.
:return: str, a new_alphabet will be returned.
"""
first_half = ALPHABET[shift:]
second_half = ALPHABET[:shift]
# first_half = ALPHABET[(26 - shift):]
# second_half = ALPHABET[0:(26 - shi... | 71f3bf1c48647d8bc7641cb3070acebdb1d0170f | 33,425 |
def _tensor_equal_tensor(x, y):
"""
Determine if two tensors are equal.
Args:
x (Tensor): first input tensor.
y (Tensor): second input tensor.
Returns:
bool, if x == y return true, x != y return false.
"""
return F.equal(x, y) | a1149d02b520a79584a28c57424a4c1dfbdd4021 | 33,426 |
def CleanUnicodeString(s, separator=None):
"""Return list of words after lowering case and may be removing punctuations.
Args:
s: a unicode string.
separator: default is None which implies separator of whitespaces and
punctuation is removed.
Returns:
Lowered case string after removing runs of ... | c017cfd99d2153e3f10716f3664f665f315ecd89 | 33,427 |
def compute_cumulants(G, mus, R=None, return_R=False):
"""
Compute the cumulants of a Hawkes process given the integrated kernel
matrix `G` and the baseline rate vector `mus`
Arguments
---------
G : np.ndarray
The integrated kernel matrix of shape shape dim x dim
mus : np.ndarray
... | 1c1b48147af0b2d46f87d1f6050137d778db3e97 | 33,428 |
def interp_2d_to_3d(gs, grid, gt):
"""Interpolate 2D vector to a 3D grid using a georeferenced grid.
Parameters
----------
gs : geopandas.GeoSeries
Input geopandas GeoSeries
grid : array_like
2D array of values, e.g. DEM
gt : tuple
GDAL-style geotransform coefficients fo... | fe0ae9ee3bb65a2b7ab255bb228a5d4411790d2d | 33,429 |
import traceback
def norecurse(f):
"""Decorator that keeps a function from recursively calling itself.
Parameters
----------
f: function
"""
def func(*args, **kwargs):
# If a function's name is on the stack twice (once for the current call
# and a second time for the previous... | e7c7bebbbebcf53dad6772862f9ed4287c19a13d | 33,430 |
def compare_model(models_list=None, x_train=None, y_train=None, calculate_accuracy=False, scoring_metrics=None, scoring_cv=3, silenced=False):
"""
Trains multiple user-defined model and pass out report
Parameters
----------------
models_list: list
a list of models to be trained
... | 23f35fe1db665fe9b71262392a964d5562d09c69 | 33,431 |
def Material (colorVector):
"""
Material color.
"""
if colorVector == None:
return None
else:
assert isinstance (colorVector, (list, tuple))
assert len (colorVector), 3
for cid in range (0, 3):
assert colorVector[cid] >= 0
assert colorVector[ci... | 89cee73c485669786f1a7cc4855ad8460c9db023 | 33,432 |
from typing import Callable
def linear_objective(
weights: np.ndarray, samples: np.ndarray, labels: np.ndarray, loss_fn: Callable
) -> float:
"""Calculates the final loss objective for a linear model"""
# Compute scores for loss
z = (samples @ weights) * labels
# Mean loss over batch
loss = np... | feac29c0d516897ac3c30c70c50364ff32407669 | 33,433 |
import itertools
import pathlib
def jpg_walk(path: str, filter_types: list) -> list:
"""
获取指导目录全部的图片路径
"""
with checkTimes("image walker"):
pools = list(
itertools.chain(
*[
list(pathlib.Path(path).glob(f"**/*.{types}"))
f... | 53524f3758601fbdc5f7664c234d30b995dd48ab | 33,435 |
import math
def auto_border_start(min_corner_point, border_size):
"""Determine upper-right corner coords for auto border crop
:param min_corner_point: extreme corner component either 'min_x' or 'min_y'
:param border_size: min border_size determined by extreme_frame_corners in vidstab process
:return:... | e09d48a8c8c59053516357cbfd320cf92a080cc4 | 33,436 |
def val(model):
""" 计算模型在验证集上的分数 """
top_k = 3
# 状态置为验证
model.eval()
# 数据准备
dataset = ZhiHuData(conf.dev_data)
data_loader = DataLoader(dataset, batch_size=conf.batch_size)
# 预测
predict_label_and_marked_label_list = []
for i, batch in enumerate(data_loader):
title, conte... | 402bbcc829ec7e51e6ff70ab0c2b0a1b24b08c46 | 33,437 |
import array
def regress_origin(x, y):
"""Returns coefficients to regression "y=ax+b" passing through origin.
Requires vectors x and y of same length.
See p. 351 of Zar (1999) Biostatistical Analysis.
returns slope, intercept as a tuple.
"""
x, y = array(x, "float64"), array(y, "float64")
... | 6466f5cb38e3be1070d25051161809018601f689 | 33,438 |
import configparser
def bootPropsConfig(artifact, resources, targetDir, scalaVersion = "2.13.1"):
"""Create the configuration to install an artifact and its dependencies"""
scala = {}
scala["version"] = scalaVersion
app = {}
app["org"] = artifact.org
app["name"] = artifact.name
app["vers... | 66b8a4d641b3b1728e1d99c3f7bd7104806cdc50 | 33,439 |
import requests
def broadcast_transaction(hex_tx, blockchain_client=BlockchainInfoClient()):
""" Dispatch a raw transaction to the network.
"""
url = BLOCKCHAIN_API_BASE_URL + '/pushtx'
payload = {'tx': hex_tx}
r = requests.post(url, data=payload, auth=blockchain_client.auth)
if 'submitte... | 34953d3cbdcd83b4fd9f7971214653f32466db63 | 33,440 |
def concat(inputs_list, axis=-1):
"""
Concatenate input tensors list
Parameters
----------
inputs_list: Input tensors list
axis: Axis along which to concatenate the tensors
"""
return tf.concat(inputs_list, axis=axis) | 42bbe9ca6873ad9e66e13dd4fb29780a01c5e941 | 33,443 |
import torch
def string_to_tensor(string, char_list):
"""A helper function to create a target-tensor from a target-string
params:
string - the target-string
char_list - the ordered list of characters
output: a torch.tensor of shape (len(string)). The entries are the 1-shifted
ind... | eb6c7fcccc9802462aedb80f3da49abec9edc465 | 33,444 |
def unique_nrpzs_active_subquery():
"""Returns unique NRPZS within active centers."""
return db.session.query(OckovaciMisto.nrpzs_kod) \
.filter(OckovaciMisto.status == True) \
.group_by(OckovaciMisto.nrpzs_kod) \
.having(func.count(OckovaciMisto.nrpzs_kod) == 1) \
.subquery() | f46f3424b460e12d7096f165055ec7cf291eef91 | 33,446 |
def retrieve_context_service_interface_point_total_potential_capacity_total_size_total_size(uuid): # noqa: E501
"""Retrieve total-size
Retrieve operation of resource: total-size # noqa: E501
:param uuid: ID of uuid
:type uuid: str
:rtype: CapacityValue
"""
return 'do some magic!' | 5a018beed4c7352235b8f29425ac28f47717091b | 33,447 |
def index():
""" Index page. """
return render_template('dashboard/index.html') | e12209bc31f0a7f118359e847a3c39bd1a79f557 | 33,448 |
def is_tax_id_obligatory(country):
"""
Returns True if country is in EU or is Poland. Returns False for others.
"""
if country.name in all_eu_countries:
return True
return False | f9ae6f1baff4f77b2c6255f85e57833a1b7cc830 | 33,449 |
def indexTupleToStr(idx):
"""
Generate a string contains all the lowercase letters corresponding to given index list.
Parameters
----------
idx : list of int
A list of indices, each should be in [0, 26).
Returns
-------
str
A string that corresponding to the indices... | 5f234cff34b530316b6a957de7604321a82a309b | 33,450 |
def _LookupPermset(role, status, access):
"""Lookup the appropriate PermissionSet in _PERMISSIONS_TABLE.
Args:
role: a string indicating the user's role in the project.
status: a Project PB status value, or UNDEFINED_STATUS.
access: a Project PB access value, or UNDEFINED_ACCESS.
Returns:
A Perm... | f9188ca34476e29e743ea92f689097a41c8dcb35 | 33,451 |
def _add_sld_boilerplate(symbolizer):
"""
Wrap an XML snippet representing a single symbolizer in the appropriate
elements to make it a valid SLD which applies that symbolizer to all features,
including format strings to allow interpolating a "name" variable in.
"""
return """
<StyledLayerDescri... | 971199333570d5bc7baefec88f35b92922ef6176 | 33,452 |
def calculate_distance(location1, location2):
"""Calculate geodesic distance between two coordinates with ellipsoidal earth model.
Args:
location1: tuple of (latitude, longitude) as floats in Decimal Degrees
location2: tuple of (latitude, longitude) as floats in Decimal Degrees
Returns:
A float in me... | 569ae6af353d772234359ed70ac65e732ef2732a | 33,453 |
def user():
"""
form传值变量名：
email,call,signature,mail,pre_school,address,detail_address,nickname
返回值：
user_info: 用户个人信息的字典
"""
if 'USR_ID' in session:
if request.method == 'GET':
user_info = query_db("SELECT * FROM student WHERE user_id = %s",
... | 40a960150cab9b88d848f742109c5120f4a846a4 | 33,454 |
def sequence_names_match(r1, r2):
"""
Check whether the sequences r1 and r2 have identical names, ignoring a
suffix of '1' or '2'. Some old paired-end reads have names that end in '/1'
and '/2'. Also, the fastq-dump tool (used for converting SRA files to FASTQ)
appends a .1 and .2 to paired-end reads if option -I ... | 645ac09011cc4b94c5b6d60bf691b6b1734d5b6b | 33,455 |
import torch
def generate_mobile_module_lints(script_module: torch.jit.ScriptModule):
"""
Args:
script_module: An instance of torch script module with type of ScriptModule
Returns:
lint_map: A list of dictionary that contains modules lints
"""
if not isinstance(script_module, torc... | 4a6b25388fb549a273345f2f16f8e471c468a691 | 33,456 |
from typing import Set
def manipulation(macid: MACID, decision: str, effective_set: Set[str]) -> bool:
"""Check whether a decision is motivated by an incentive for manipulation.
Graphical Criterion:
1) There is a directed decision-free path from D_A to an effective decision node D_B.
2) There is a di... | d84df003733c7f18c668ef08a7804773b6e501c8 | 33,457 |
def _get_client_ids_meeting_condition(train_tff_data, bad_accuracy_cutoff,
good_accuracy_cutoff,
invert_imagery_likelihood,
classifier_model):
"""Get clients that classify <bad_accuracy_cutoff or >good_ac... | c7d5878ee045eead44f50416aceac3005b0d4e2c | 33,458 |
def get_wccp_service_group_settings(
self,
ne_id: str,
cached: bool,
) -> dict:
"""Get per-group WCCP configuration settings from appliance
.. list-table::
:header-rows: 1
* - Swagger Section
- Method
- Endpoint
* - wccp
- GET
- /wccp... | 75e07296893eabafbbf0285134cf33cb3eb46480 | 33,459 |
def container_storage_opt() -> int:
"""Return the size for the 'storage_opt' options of the container.
Return -1 if no option (or the default 'host') was given."""
if "storage_opt" in settings.DOCKER_PARAMETERS:
storage = settings.DOCKER_PARAMETERS["storage_opt"].get("size", -1)
if stor... | 5d345bffd37dc0599d7ef137c08798a226322368 | 33,460 |
import copy
def construct_insert_conversatie_query(graph_uri, conversatie, bericht, delivery_timestamp):
"""
Construct a SPARQL query for inserting a new conversatie with a first bericht attached.
:param graph_uri: string
:param conversatie: dict containing escaped properties for conversatie
:par... | 61710bc10985cbf91bba354cd06916b77da587d7 | 33,462 |
def _minimum_chunk_size_accuracy(
data: pd.DataFrame,
partition_column_name: str = NML_METADATA_PARTITION_COLUMN_NAME,
prediction_column_name: str = NML_METADATA_PREDICTION_COLUMN_NAME,
target_column_name: str = NML_METADATA_TARGET_COLUMN_NAME,
required_std: float = 0.02,
):
"""Estimation of min... | 3401ccb564cd69e82effc8d7c949feffe725a7fa | 33,463 |
def estimate_directions(correlations, pairs):
"""Estimate directions from a correlation matrix for specific pairs.
Parameters
----------
correlations : numpy.ndarray, shape=(n_samples, n_samples)
A correlation matrix. Can contain nan values.
pairs : numpy.ndarray, shape=(< n_samples, 2)
... | be4282922bd8b052a60211ab61c4c678ef154e05 | 33,464 |
def get_est_input_size(out, height, p2pkh_pksize, p2sh_scriptsize, nonstd_scriptsize, p2wsh_scriptsize):
"""
Computes the estimated size an input created by a given output type (parsed from the chainstate) will have.
The size is computed in two parts, a fixed size that is non type dependant, and a variable ... | 621cea04217ac7b1396d89ecdfa4e8a3812bd636 | 33,467 |
import win32com.client
def VisumInit(path=None,COMAddress='Visum.Visum.125'):
"""
###
Automatic Plate Number Recognition Support
(c) 2012 Rafal Kucharski info@intelligent-infrastructure.eu
####
VISUM INIT
"""
Visum = win32com.client.Dispatch(COMAddress)
if path != None: Visum.Load... | dc9ebcb271ba86f3ab1180bed6b3da553e416f7d | 33,468 |
def get(section, option, default=None):
"""
Simple accessor to hide/protect the multiple depth dict access: conf["SECTION"]["OPTION"]
"""
if section in conf.keys():
if option in conf[section].keys():
return conf[section][option]
return default | 9ece13a6cf0df1f50f5d9db70c035aef88fe2412 | 33,469 |
def inceptionresnetv1(**kwargs):
"""
InceptionResNetV1 model from 'Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning,'
https://arxiv.org/abs/1602.07261.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for mod... | d424c883e03899cd37bc4f5421bd779ff85be991 | 33,470 |
from typing import Dict
def series_length(x: np.array, freq: int = 1) -> Dict[str, float]:
"""Series length.
Parameters
----------
x: numpy array
The time series.
freq: int
Frequency of the time series
Returns
-------
dict
'series_length': Wrapper of len(x).
... | a84f8e9f66bc862237ddff5ac651e961147aeee2 | 33,472 |
import pygrib
def _load_uvtp(date, time, latitude=-30, longitude=289.5):
"""Load U, V, T componenents of wind for GFS file given date and time."""
# do not want pygrib to be a dependency for the whole psfws package.
# load in dataset (specific date/time given by args)
try:
grbs = pygrib.open(... | 7cb414b26df805b946154f78782373955f3e6422 | 33,474 |
from typing import OrderedDict
import six
def ds2_variables(input, output_vars=False, names=None):
"""Generate a collection of `DS2Variable` instances corresponding to the input
Parameters
----------
input : function or OrderedDict<string, tuple> or Pandas DataFrame or Numpy or OrderedDict<string, ty... | 50bed5939530679dd36edd5a911b212687a085aa | 33,475 |
import hashlib
def register():
"""Register User"""
# forget any user_id
session.clear()
# If the user has been redirected through an event url
event = request.args.get('event')
# if user reached route via POST (as by submitting a form via POST)
if request.method == 'POST':
# ch... | b6eb1c717a1c52dd206d6bb4f17e768a5a33bbc1 | 33,477 |
from typing import Sequence
def topological_sort(edges: Sequence[Sequence]) -> list:
"""Produce a topological sorting (if one exists) using a BFS approach.
Args:
edges (Sequence[Sequence]): A list of edges pairs, ex: [('A', 'B'), ('A', 'C')].
Returns:
list: An array with a non-unique top... | 48a48449e7cd9390abbe2b589994cd7476684f69 | 33,478 |
def map_currency(currency, currency_map):
"""
Returns the currency symbol as specified by the exchange API docs.
NOTE: Some exchanges (kraken) use different naming conventions. (e.g. BTC->XBT)
"""
if currency not in currency_map.keys():
return currency
return currency_map[currency] | 98b235952b042109a4e2083ce6c8fd85690c22e3 | 33,479 |
def FastResultRow(cols):
"""Create a ResultRow-like class that has all fields already preparsed.
Non-UTF-8-String columns must be suffixed with !."""
getters = {}
_keys = []
for i, col in enumerate(cols.split()):
if col[-1] == '!':
col = col[:-1]
getter = itemgetter(i... | 61483f6b3e6627eb5b2125c3a458e3baf6d263eb | 33,480 |
def new_answer(notification):
"""
Obtains a new answer body for notifs where **source is
the post**
"""
answer = Answer.query.filter_by(id=notification.target_id).first()
post = Post.query.filter_by(id=notification.source_id).first()
if not isinstance(answer, Answer):
return "A new ... | 41755acbaa870f0fabb9295a75a47c7e652bbbc0 | 33,481 |
def gather_indexes(sequence_tensor, positions):
"""Gathers the vectors at the specific positions.
Args:
sequence_tensor: Sequence output of `BertModel` layer of shape
(`batch_size`, `seq_length`, num_hidden) where num_hidden is number of
hidden units of `BertModel` layer.
positions: Pos... | 82e1b4520cbac66d45d56fc1f66286578acab0dd | 33,482 |
def _check_type(value, expected_type):
"""Perform type checking on the provided value
This is a helper that will raise ``TypeError`` if the provided value is
not an instance of the provided type. This method should be used sparingly
but can be good for preventing problems earlier when you want to rest... | a18ecfe9d63e6a88c56fc083da227a5c12ee18db | 33,483 |
def find_rbm_procrustes(frompts, topts):
"""
Finds a rigid body transformation M that moves points in frompts to the points in topts
that is, it finds a rigid body motion [ R | t ] with R \in SO(3)
This algorithm first approximates the rotation by solving
the orthogonal procrustes problem.
"""
... | ae478e3c2139fe5bef1beb5c12ce75b07dee98e7 | 33,484 |
from typing import Callable
import functools
def adapt_type_to_browse_processor() -> Callable[[MediaProcessorType], BrowseGeneratorType]:
"""
Create generator for media objects from provided ID's
:return: Decorator
"""
def _decorate(func: MediaProcessorType):
"""
Decorate
... | bbed3ec54ca966cc1886d02abbf5ccae8daca25c | 33,485 |
import healpy as hp
def get_skyarea(output_mock, Nside):
"""
"""
# compute sky area from ra and dec ranges of galaxies
nominal_skyarea = np.rad2deg(np.rad2deg(4.0*np.pi/hp.nside2npix(Nside)))
if Nside > 8:
skyarea = nominal_skyarea
else:
pixels = set()
for k in output_... | 243e6d7a4b10673ed1d7fd03db48e7ac12c6ec0e | 33,487 |
def get_patch_info(shape, p_size):
"""
shape: origin image size, (x, y)
p_size: patch size (square)
return: n_x, n_y, step_x, step_y
"""
x = shape[0]
y = shape[1]
n = m = 1
while x > n * p_size:
n += 1
while p_size - 1.0 * (x - p_size) / (n - 1) < 50:
n += 1
w... | b681f355ffbf3c7f5653996cd021950e2c9689d4 | 33,489 |
def validate_token(token=None):
"""Helps in confirming the Email Address with the help of the token, sent on the registered email address.\n
Keyword Arguments:
token -- Token passed in the user's email
"""
try:
res = URLSafeTimedSerializer(SECRET).loads( # noqa
token, salt=VERIF... | 36ae68623cb04c0d3964c23b3ebc36a82376bec8 | 33,490 |
def rate2amount(
rate: xr.DataArray, dim: str = "time", out_units: str = None
) -> xr.DataArray:
"""Convert a rate variable to an amount by multiplying by the sampling period length.
If the sampling period length cannot be inferred, the rate values
are multiplied by the duration between their time coor... | 1a660711d6e5d7bffc14608e65aeb6d0ae5d7740 | 33,491 |
def makechis(d, N, maxchi):
"""Create the vector of chis for the chain.
This is a length-N+1 list of exponents of d. The exponents are of
the form
[0, 1, 2, 1, 0] (if N+1 is odd)
[0, 1, 2, 2, 1, 0] (if N+1 is even)
Any numbers in the above exceeding ln(maxchi) / ln(d) are replace... | 45dea0c399b1a8d8a055c28015d17f12d3ce5112 | 33,492 |
import requests
def generate_input_f(reagent, MW, density):
""" A helper function to properly formate input for concentration-to-amount calculations.
Returns a dictionary where each key is a reagent component and each value is a sub-dictionary
containing concentration, phase, molecular weight, and density... | 2c8225509ba1512270a5ebfce130f79f2fba172c | 33,493 |
def addCol(adjMatrix):
"""Adds a column to the end of adjMatrix and returns the index of the comlumn that was added"""
for j in range(len(adjMatrix)):
adjMatrix[j].append(0)
return len(adjMatrix[0])-1 | 29ee11953cbdb757e8ea80e897751059e42f1d90 | 33,494 |
def get_table_m_1_a_5():
"""表M.1(a)-5 居住人数4人における基準給湯量および入浴人数(生活スケジュール：平日(小))
Args:
Returns:
list: 表M.1(a)-5 居住人数4人における基準給湯量および入浴人数(生活スケジュール：平日(小))
"""
# 表M.1(a)-5 居住人数4人における基準給湯量および入浴人数(生活スケジュール：平日(小))
table_m_1_a_5 = np.array([
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, ... | 0ec4fbf123b503a31bf199f6a392147d07e8e714 | 33,495 |
import re
def _get_first_sentence(s):
"""
Get the first sentence from a string and remove any carriage
returns.
"""
x = re.match(r".*?\S\.\s", s)
if x is not None:
s = x.group(0)
return s.replace('\n', ' ') | 9e78fdba3a47c0f9faae6a938ab58498455555b2 | 33,498 |
def open_tsg_from_legos(filename):
"""
Open thermosalinograph (TSG) transect from the LEGOS dataset,
and homogenize the coordinates
Parameters
----------
filename : str
Name of the file to open
Returns
-------
ds : xarray.Dataset
The TSG transect under the ... | 69c999c53fb8faff622b5f274e79ed6ef9415ddd | 33,499 |
from datetime import datetime
def get_current_time():
"""Return timestamp for current system time in UTC time zone.
Returns
-------
datetime
Current system time
"""
return datetime.datetime.utcnow() | 606761fa1aabe0b9d0d1682b978efbae1a524fa3 | 33,500 |
def calculate_average(result):
"""Calculates the average package size"""
vals = result.values()
if len(vals) == 0:
raise ValueError("Cannot calculate average on empty dictionary.")
return sum(vals)/float(len(vals)) | ea4b66b41533b0e8984b5137c39c744eec9d3e1f | 33,501 |
def score_vectore(vector):
"""
:type vector: list of float
:return:
"""
x = 0.
y = 0.
for i in range(0, len(vector)):
if i % 2 == 0:
if vector[i] > 12:
x += vector[i]
else:
y += vector[i] + min(vector[i-1], vector[i])
return x, y | 8fc60cb3cec65d5a3b8f0fea62777739e17249a4 | 33,502 |
def loudness_contour_equivalence(mean_loudness_value, phon_ref_value):
""" Function that serves for the validation of the hearing model presented in Annex F of ECMA-74.
Parameters
----------
Returns
-------
"""
# Conversion to phons of the loudness result that is in sones.
phon_loudne... | 410d6469caad75a2d9387ada9868a747a457dd86 | 33,503 |
def _compound_register(upper, lower):
"""Return a property that provides 16-bit access to two registers."""
def get(self):
return (upper.fget(None) << 8) | lower.fget(None)
def set(self, value):
upper.fset(None, value >> 8)
lower.fset(None, value)
return property(get, set) | 00f315cc4c7f203755689adb5004f152a8b26823 | 33,505 |
def get_joining_type_property(value, is_bytes=False):
"""Get `JOINING TYPE` property."""
obj = unidata.ascii_joining_type if is_bytes else unidata.unicode_joining_type
if value.startswith('^'):
negated = value[1:]
value = '^' + unidata.unicode_alias['joiningtype'].get(negated, negated)
... | ad2f590658c927a91ef5d90ac09d5b927e2091f3 | 33,507 |
from typing import List
def select_record_fields(
record: dict,
fields: List[str]) -> dict:
"""
Selects a subset of fields from a dictionary
"""
return {k: record.get(k, None) for k in fields} | 4b56ba4bc683eb8d49540ccb8de79c08b900e7c8 | 33,508 |
def to_TProfile2D(
fName,
fTitle,
data,
fEntries,
fTsumw,
fTsumw2,
fTsumwx,
fTsumwx2,
fTsumwy,
fTsumwy2,
fTsumwxy,
fTsumwz,
fTsumwz2,
fSumw2,
fBinEntries,
fBinSumw2,
fXaxis,
fYaxis,
fZaxis=None,
fScalefactor=1.0,
fZmin=0.0,
fZmax=0.... | 6886a90bc4e134d03f255c2fcec211dbdbd435b0 | 33,509 |
def decode_check(string: str, digestfunc=sha256d_32) -> bytes:
"""
Convert base58 encoded string to bytes and verify checksum.
"""
result = decode(string)
return verify_checksum(result, digestfunc) | e3cdca3d66a2822cf6d47756959f136c84bcae65 | 33,510 |
import pandas
def label_by_wic(grasp_wic, exclude_C0=False):
"""Label each grasp by the whiskers it contains
grasp_wic : DataFrame
Index: grasp keys. Columns: whisker. Values: binarized contact.
exclude_C0 : bool
If False, group by all whiskers.
If True, ignore C0, and gr... | 0f1e552c68be0b77bad442b2432e071a74db4947 | 33,511 |
def selectBestFeature(dataSet: list):
"""
计算信息增益，挑选最好的特征值
:param dataSet: 数据集
:return:
"""
# 不使用最后一列标签列
best_feature_idx = 0
gain = float('-inf')
for feature_idx in range(len(dataSet[0])-1):
gain_tmp = calcOneFeatureGain(dataSet, feature_idx)
if gain_tmp > gain:
... | ced59e8748eb12a17951fb511c7cc6b8d5f88555 | 33,512 |
from typing import Callable
import json
def __interact_instances(client, action: Callable, status: str) -> dict:
"""
Interacts with the instances. It executes the callable from action.
:param client: Sagemaker boto3 client.
:param action: a callable (e.g. client.start_notebook_instance).
:param st... | f067ce6d4d32718e6d25edb735534b3427eb9cc6 | 33,513 |
def _chordfinisher(*args, **kwargs):
"""
Needs to run at the end of a chord to delay the variant parsing step.
http://stackoverflow.com/questions/
15123772/celery-chaining-groups-and-subtasks-out-of-order-execution
"""
return "FINISHED VARIANT FINDING." | b68d09e755c2da468b98ab0466821770d2f7f4a7 | 33,514 |
def plot_reg_path(model, marker='o', highlight_c="orange", include_n_coef=False, figsize=None, fontsize=None):
"""Plots path of an L1/L2 regularized sklearn.linear_model.LogisticRegressionCV.
Produces two adjacent plots.
The first is a plot of mean coefficient values vs penalization strength.
The second... | f868bf2ef5375598e29675b42234a5be470235f0 | 33,515 |
def create_object_count(app=None):
"""fetches all models of the passed in app and returns a
dict containg the name of each class and the number of instances"""
if app:
models = ContentType.objects.filter(app_label=app)
result = []
for x in models:
modelname = x.model
... | a0697f9847e3a200fd235cbb000c7d67e711f9fd | 33,516 |
def unique_name(prefix: str, collection) -> str:
"""
Prepares a unique name that is not
in the collection (yet).
Parameters
----------
prefix
The prefix to use.
collection
Name collection.
Returns
-------
A unique name.
"""
if prefix not in collection:
... | 8438588bd17e097ffc5bbe7b88f4c2aba2363250 | 33,517 |
async def get_pic(image_type: str, group_id: int, sender: int) -> list:
"""
Return random pics message
Args:
image_type: The type of picture to return
image type list:
setu: hPics(animate R-15)
setu18: hPics(animate R-18)
real: hPics(real ... | 37f06676b508503ba54fab37e1e7418df0d144bc | 33,518 |
def dispatch(req):
"""run the command specified in req.args; returns an integer status code"""
err = None
try:
status = _rundispatch(req)
except error.StdioError as e:
err = e
status = -1
ret = _flushstdio(req.ui, err)
if ret:
status = ret
return status | 1874580fff23796b025fc2cd2ecce9f21a5af692 | 33,519 |
def get_settings(from_db=False):
"""
Use this to get latest system settings
"""
if not from_db and 'custom_settings' in current_app.config:
return current_app.config['custom_settings']
s = Setting.query.order_by(desc(Setting.id)).first()
app_environment = current_app.config.get('ENV', 'p... | 2154122bcdde3e0bc023103ed825d76234d489c1 | 33,520 |
def get_currency_crosses_list(base=None, second=None):
"""
This function retrieves all the available currency crosses from Investing.com and returns them as a
:obj:`dict`, which contains not just the currency crosses names, but all the fields contained on
the currency_crosses file is columns is None, ot... | da6588be01510c96d6e1dc85c82d7beed877002b | 33,521 |
def define_git_repo(*, name: 'name',
repo, treeish=None):
"""Define [NAME/]git_clone rule."""
(define_parameter.namedtuple_typed(GitRepoInfo, name + 'git_repo')
.with_default(GitRepoInfo(repo=repo, treeish=treeish)))
relpath = get_relpath()
@rule(name + 'git_clone')
@rule... | 78dcd536c306020d2ffd6fe4355992b10fb0d9ad | 33,522 |
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