content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import os
def get_graph_names(test_dir):
"""Parse test_dir/*GRAPHFILES and return basenames for all .graph files"""
graph_list = []
GRAPHFILES_files = [f for f in os.listdir(test_dir) if f.endswith("GRAPHFILES")]
for GRAPHFILE in GRAPHFILES_files:
with open(os.path.join(test_dir, GRAPHFILE), '... | b60f6e5a1b3654e6e7a982902356c18db0e740ae | 3,650,500 |
import logging
def get_sagemaker_feature_group(feature_group_name: str):
"""Used to check if there is an existing feature group with a given feature_group_name."""
try:
return sagemaker_client().describe_feature_group(FeatureGroupName=feature_group_name)
except botocore.exceptions.ClientError as e... | 1e94e894b1686a6833df51f1006f3f845a9e63b4 | 3,650,501 |
def check_system(command, message, exit=0, user=None, stdin=None, shell=False, timeout=None, timeout_signal='TERM'):
"""Runs the command and checks its exit status code.
Handles all of the common steps associated with running a system command:
runs the command, checks its exit status code against the expec... | 31d83941d5198d0786a6a67a4b1bcd320c26218a | 3,650,502 |
import requests
import json
import pandas as pd
from common_functions import read_orgs
import sys
def get_repo_data(api_token):
"""Executes the GraphQL query to get repository data from one or more GitHub orgs.
Parameters
----------
api_token : str
The GH API token retrieved from the gh_key f... | 0fcb024aa2f68d6687aebbce93f7ea5a0004afa5 | 3,650,503 |
import json
def getJson(file, filters={}):
"""Given a specific JSON file (string) and a set of filters (dictionary
key-values pairs), will return a JSON-formatted tree of the matching data
entries from that file (starting as a null-key list of objects).
"""
with open(file, 'r') as f:
j = json.loads(f.rea... | 7b6832eae476eef48584690d993c2dee301bb565 | 3,650,504 |
def underline_node_formatter(nodetext, optionstext, caller=None):
"""
Draws a node with underlines '_____' around it.
"""
nodetext_width_max = max(m_len(line) for line in nodetext.split("\n"))
options_width_max = max(m_len(line) for line in optionstext.split("\n"))
total_width = max(options_widt... | 598e3aaf875b2539b93ec03d8665cc8011872015 | 3,650,505 |
from pywps.dependencies import ogr
import jsonschema
import json
import mimetypes
import os
def validategeojson(data_input, mode):
"""GeoJSON validation example
>>> import StringIO
>>> class FakeInput(object):
... json = open('point.geojson','w')
... json.write('''{"type":"Feature", "prop... | 5b9364ecc0c8f92f82448bd5541eb606df776c12 | 3,650,506 |
def layers(vgg_layer3_out, vgg_layer4_out, vgg_layer7_out, num_classes):
"""
Create the layers for a fully convolutional network. Build skip-layers using the vgg layers.
:param vgg_layer3_out: TF Tensor for VGG Layer 3 output
:param vgg_layer4_out: TF Tensor for VGG Layer 4 output
:param vgg_layer7... | cf907d29555fbb7e9a11a1b2f6981637a977bf48 | 3,650,507 |
def determine_issues(project):
"""
Get the list of issues of a project.
:rtype: list
"""
issues = project["Issue"]
if not isinstance(issues, list):
return [issues]
return issues | 7b8b670e4ad5a7ae49f3541c87026dd603406c9f | 3,650,508 |
import os
def find_image_files(path=None):
"""
Used to find image files.
Argument:
path - path to directory of 'img.image' files
"""
if path is None:
path = os.getcwd()
folders = []
for folder in os.listdir(path):
if folder.endswith("img.image"):
folders.append(os.pa... | f6813672c1619204caa45d21df47289227ab4d5f | 3,650,509 |
def get_media_after_date(mountpoint: str, date:str):
"""
Date format in EXIF yyyy:mm:dd, look for EXIF:CreateDate
"""
metadata = get_media_list(mountpoint)
filtered_meta = list()
for m in metadata:
if 'File:FileModifyDate' in m:
if is_after(m['File:FileModifyDate'].split(' ')... | 950c937540bd44cd1f577f1ee763262dad51d353 | 3,650,510 |
import random
def run_normal_game():
"""Run a complex game, like the real thing."""
stage = create_stage()
contestant_first_pick = random.randrange(3)
montys_pick_algorithm(stage, contestant_first_pick)
contestant_second_pick = contestants_second_pick_algorithm(stage, contestant_first_pick)
... | 04f3e8805b3b7d7d9e9f631eee635c4b9af75fdf | 3,650,511 |
def reformat_wolfram_entries(titles, entries):
"""Reformat Wolfram entries."""
output_list = []
for title, entry in zip(titles, entries):
try:
if ' |' in entry:
entry = '\n\t{0}'.format(entry.replace(' |', ':')
.replace('\n', '\n\t... | ba236671187ba4ab80fb013b3ee40c6ae58cc1c8 | 3,650,512 |
import os
def project_root() -> str:
"""Returns path to root directory of a project"""
return os.path.join(_file_directory_path(__file__), '..') | 175090bf05b5bc79f78e8fbbbb491d62696e8d35 | 3,650,513 |
import six
def GetAndValidateRowId(row_dict):
"""Returns the integer ID for a new Row.
This method is also responsible for validating the input fields related
to making the new row ID.
Args:
row_dict: A dictionary obtained from the input JSON.
Returns:
An integer row ID.
Raises:
BadRequest... | be9f096ddb8bba036d1fa06cdd3565296a949762 | 3,650,514 |
def generate_test_cases(ukernel, channel_tile, pixel_tile, isa):
"""Generates all tests cases for a BILINEAR micro-kernel.
Args:
ukernel: C name of the micro-kernel function.
channel_tile: Number of channels processed per one iteration of the inner
loop of the micro-kernel.
pixel_tile... | 4fe3243c3f8d2ab3ce7861b46aa96ee79ef1014a | 3,650,515 |
def get_file_range(ase, offsets, timeout=None):
# type: (blobxfer.models.azure.StorageEntity,
# blobxfer.models.download.Offsets, int) -> bytes
"""Retrieve file range
:param blobxfer.models.azure.StorageEntity ase: Azure StorageEntity
:param blobxfer.models.download.Offsets offsets: download ... | be4f2f06c64ee457152fe582128b36db1a1baae4 | 3,650,516 |
def parse_cli_args():
"""Return parsed command-line arguments."""
parser = ArgumentParser(description='parse and summarize a GLSL file')
parser.add_argument('path')
shader_type_names = [member.name for member in ShaderType]
parser.add_argument('shader_type', nargs='?',
choice... | a044e20ea91e05c09cccc118641dac68ce748142 | 3,650,517 |
def genus_species_name(genus, species):
"""Return name, genus with species if present.
Copes with species being None (or empty string).
"""
# This is a simple function, centralising it for consistency
assert genus and genus == genus.strip(), repr(genus)
if species:
assert species == spe... | 1fed57c5c87dfd9362262a69429830c7103b7fca | 3,650,518 |
def _native_set_to_python_list(typ, payload, c):
"""
Create a Python list from a native set's items.
"""
nitems = payload.used
listobj = c.pyapi.list_new(nitems)
ok = cgutils.is_not_null(c.builder, listobj)
with c.builder.if_then(ok, likely=True):
index = cgutils.alloca_once_value(c.... | 808a10d85cc19c0b1c31b3e01afc9bbb402e1e90 | 3,650,519 |
def JointAngleCalc(frame,vsk):
""" Joint Angle Calculation function.
Calculates the Joint angles of plugingait and stores the data in array
Stores:
RPel_angle = []
LPel_angle = []
RHip_angle = []
LHip_angle = []
RKnee_angle = []
LKnee_angle = []
RAnkle_angle = []
LAnkle_angl... | 0b3c7df9e514a1a08f23d487f909952df9a168b5 | 3,650,520 |
def var_to_str(var):
"""Returns a string representation of the variable of a Jax expression."""
if isinstance(var, jax.core.Literal):
return str(var)
elif isinstance(var, jax.core.UnitVar):
return "*"
elif not isinstance(var, jax.core.Var):
raise ValueError(f"Idk what to do with this {type(var)}?")
... | 820645057359f8704cbd28d2545b9bb3c6e2f4d3 | 3,650,521 |
def lal_binary_neutron_star(
frequency_array, mass_1, mass_2, luminosity_distance, a_1, tilt_1,
phi_12, a_2, tilt_2, phi_jl, theta_jn, phase, lambda_1, lambda_2,
**kwargs):
""" A Binary Neutron Star waveform model using lalsimulation
Parameters
----------
frequency_array: array_... | 4641e65e9f422bb9be9a90f2f849ab58f1cdea51 | 3,650,522 |
def handledisc(tree):
"""Binarize discontinuous substitution sites.
>>> print(handledisc(Tree('(S (X 0 2 4))')))
(S (X 0 (X|<> 2 (X|<> 4))))
>>> print(handledisc(Tree('(S (X 0 2))')))
(S (X 0 (X|<> 2)))
"""
for a in tree.postorder(lambda n: len(n) > 1 and isinstance(n[0], int)):
binarize(a, rightmostunary=Tru... | 1e164d0174a4b31462369a10e56f9d69d936d18b | 3,650,523 |
def check_bounds(shape: Shape, point: Coord) -> bool:
"""Return ``True`` if ``point`` is valid index in ``shape``.
Args:
shape: Shape of two-dimensional array.
point: Two-dimensional coordinate.
Return:
True if ``point`` is within ``shape`` else ``False``.
"""
return (0 <... | 88ab89fddf3f85fc38f3404ed90f384f50337905 | 3,650,524 |
def logout(home=None):
"""
Logs out current session and redirects to home
:param str home: URL to redirect to after logout success
"""
flask_login.logout_user()
return redirect(request.args.get('redirect',
home or url_for('public.home'))) | bded682e6807532aa6382ea0855ee4d335da550f | 3,650,525 |
def N(u,i,p,knots):
"""
u: point for which a spline should be evaluated
i: spline knot
p: spline order
knots: all knots
Evaluates the spline basis of order p defined by knots
at knot i and point u.
"""
if p == 0:
if knots[int(i)] < u and u <=knots[int(i+1)]:
retu... | 0cd0756d558ee99b0ed32350860bc27f023fa88b | 3,650,526 |
import tqdm
import scipy
def infer_growth_rate(data,
od_bounds=None,
convert_time=True,
groupby=None,
cols={'time':'clock_time', 'od':'od_600nm'},
return_opts=True,
print_params=True... | cef58ddc864bc683708170289439c318363b6561 | 3,650,527 |
def check_merge(s, idn) -> bool:
"""
Check whether a set of nodes is valid to merge
"""
found = False
in_size = None
out_size = None
stride = None
act = None
nds = [idn[i] for i in state2iset(s)]
if len(nds) == 1:
return True
for nd in nds:
if not isinstance(n... | d0edfee6150d7814c926fb59d413b61a989c9808 | 3,650,528 |
def typeMap(name, package=None):
""" typeMap(name: str) -> Module
Convert from C/C++ types into VisTrails Module type
"""
if package is None:
package = identifier
if isinstance(name, tuple):
return [typeMap(x, package) for x in name]
if name in typeMapDict:
return ty... | 6f8ed31cfe1eb88201d0131d43c0fb0da2295405 | 3,650,529 |
def _rm_from_diclist(diclist, key_to_check, value_to_check):
"""Function that removes an entry form a list of dictionaries if a key of
an entry matches a given value. If no value of the key_to_check matches the
value_to_check for all of the entries in the diclist, the same diclist will
be returned that ... | 89806ec5029923709bd44d794d75a84f440c5aa7 | 3,650,530 |
import scipy
def odr_linear(x, y, intercept=None, beta0=None):
"""
Performs orthogonal linear regression on x, y data.
Parameters
----------
x: array_like
x-data, 1D array. Must be the same lengths as `y`.
y: array_like
y-data, 1D array. Must be the same lengths as `x`.
... | 51fc464cb60e5b05645907d5ed3ec40d1b9cdb54 | 3,650,531 |
def get_centroid_world_coordinates(geo_trans, raster_x_size, raster_y_size, x_pixel_size, y_pixel_size):
"""Return the raster centroid in world coordinates
:param geo_trans: geo transformation
:type geo_trans: tuple with six values
:param raster_x_size: number of columns
:type raster_x_size: int
... | e0dd1d57cb020a85d9784f2c9bf22b4b8035ffae | 3,650,532 |
import json
def save_change_item(request):
"""
保存改变项
算法：在rquest_list中查找对应的uuid,找到后将数据更新其中
:param request:
:return:
"""
if request.method != 'POST':
return HttpResponse("数据异常.")
str_data = request.POST.get('jsons')
logger.info("change_item: " + str_data)
jsons = json.lo... | 434bd1e77690cd60dd163a39fd1cb90dd0cb4952 | 3,650,533 |
import pytdx.hq
import pytdx.util.best_ip
def get_lastest_stocklist():
"""
使用pytdx从网络获取最新券商列表
:return:DF格式，股票清单
"""
print(f"优选通达信行情服务器 也可直接更改为优选好的 {{'ip': '123.125.108.24', 'port': 7709}}")
# ipinfo = pytdx.util.best_ip.select_best_ip()
api = pytdx.hq.TdxHq_API()
# with api.connect(ipi... | 2953cbd800ad2e2b6bc6122ec225f34d165773ea | 3,650,534 |
from datetime import datetime
def grpc_detect_ledger_id(connection: "GRPCv1Connection") -> str:
"""
Return the ledger ID from the remote server when it becomes available. This method blocks until
a ledger ID has been successfully retrieved, or the timeout is reached (in which case an
exception is thro... | a60b84db2b8274d71b601920eb8325123191109b | 3,650,535 |
import logging
def cross_mcs(input_vectors, value_fields, verbose=False, logger=None):
""" Compute map comparison statistics between input vector features.
MCS (Map Comparison Statistic) indicates the average difference between any
pair of feature polygon values, expressed as a fraction of the highest
... | cc10bb30489c13a2ce0243e1f7ab13037aa23986 | 3,650,536 |
def extrapolate_trace(traces_in, spec_min_max_in, fit_frac=0.2, npoly=1, method='poly'):
"""
Extrapolates trace to fill in pixels that lie outside of the range spec_min, spec_max). This
routine is useful for echelle spectrographs where the orders are shorter than the image by a signfiicant
amount, since... | d2da076badb70147fd124bbf8ceaba24f26d4c0f | 3,650,537 |
def getStopWords(stopWordFileName):
"""Reads stop-words text file which is assumed to have one word per line.
Returns stopWordDict.
"""
stopWordDict = {}
stopWordFile = open(stopWordFileName, 'r')
for line in stopWordFile:
word = line.strip().lower()
stopWordDict[word] = None... | 8bb85683f257c35de9d04e4993b42cd758a802e6 | 3,650,538 |
def metade(valor):
"""
-> Realiza o calculo de metade salárial
:param valor: Valor do dinheiro
:param view: Visualizar ou não retorno formatado
:return: Retorna a metade do valor
"""
if not view:
return moeda(valor / 2)
else:
return valor / 2
return valor / 2 | fb1bbb605b8a0f1b8623ca70940377bd3c6a440a | 3,650,539 |
def monopole(uvecs: [float, np.ndarray], order: int=3) -> [float, np.ndarray]:
"""
Solution for I(r) = 1.
Also handles nonzero-w case.
Parameters
----------
uvecs: float or ndarray of float
The cartesian baselines in units of wavelengths. If a float, assumed to be the magnitude of
... | 6828b4014fc7970a4d85b6d04b6d3e16249d3dae | 3,650,540 |
def get_question(
numbers: OneOrManyOf(NUMBERS_AVAILABLE),
cases: OneOrManyOf(CASES_AVAILABLE),
num: hug.types.in_range(1, MAX_NUM + 1) = 10):
"""When queried for one or multiple numbers and cases, this endpoint returns a random question."""
questions = []
bag = NounCaseQuestionBag(
no... | b32d76f6ee7519935292743f6d7d8b8ad7357d3a | 3,650,541 |
from textwrap import dedent
def _print_attrs(attr, html=False):
"""
Given a Attr class will print out each registered attribute.
Parameters
----------
attr : `sunpy.net.attr.Attr`
The attr class/type to print for.
html : bool
Will return a html table instead.
Returns
... | 5044764b8799eed66d3e11fe9423922d79fd9981 | 3,650,542 |
import struct
def create_wave_header(samplerate=44100, channels=2, bitspersample=16, duration=3600):
"""Generate a wave header from given params."""
# pylint: disable=no-member
file = BytesIO()
numsamples = samplerate * duration
# Generate format chunk
format_chunk_spec = b"<4sLHHLLHH"
fo... | b0b53b33733e5456e321cd7c276ad95754140f8a | 3,650,543 |
import unicodedata
import re
def xslugify(value):
"""
Converts to ASCII. Converts spaces to hyphens. Removes characters that
aren't alphanumerics, underscores, slash, or hyphens. Converts to
lowercase. Also strips leading and trailing whitespace.
(I.e., does the same as slugify, but also converts... | 7a8a3f00011a46465ccafdcaf1ac797577511b2b | 3,650,544 |
def firstcond(list1, list2):
"""this is a fixture for testing conditions when
the list is a four node list """
ll = LinkedList()
ll.insert(1, 5)
ll.insert(3, 9)
ll.insert(2, 4)
return ll | 6e50038285e84e986304de5d2b28bef0db32b63d | 3,650,545 |
import os
def read_bert_vocab(bert_model_path):
"""读取bert词典"""
dict_path = os.path.join(bert_model_path, 'vocab.txt')
token2idx = {}
with open(dict_path, 'r', encoding='utf-8') as f:
tokens = f.read().splitlines()
for word in tokens:
token2idx[word] = len(token2idx)
return toke... | f38c82a1a2b8f69b6c10e8d0bfcf8bdf4f63e123 | 3,650,546 |
import textwrap
def _template_message(desc, descriptor_registry):
# type: (Descriptor, DescriptorRegistry) -> str
"""
Returns cls_def string, list of fields, list of repeated fields
"""
this_file = desc.file
desc = SimpleDescriptor(desc)
if desc.full_name in WKTBASES:
desc.bases.ap... | d56f79317d4599db2f722f9a665eb912a60aa5b8 | 3,650,547 |
def random_portfolio(n, k, mu=0., sd=0.01, corr=None, dt=1., nan_pct=0.):
""" Generate asset prices assuming multivariate geometric Brownian motion.
:param n: Number of time steps.
:param k: Number of assets.
:param mu: Drift parameter. Can be scalar or vector. Default is 0.
:param sd: Volatility o... | 86801609a44619565188cd58b1d519c2e326086b | 3,650,548 |
import time
def vulnerabilities_for_image(image_obj):
"""
Return the list of vulnerabilities for the specified image id by recalculating the matches for the image. Ignores
any persisted matches. Query only, does not update the data. Caller must add returned results to a db session and commit
in order ... | 3017ebfdeb2965760df7bb4db426fea175a3bf39 | 3,650,549 |
def superpose_images(obj, metadata, skip_overlaps=False,
num_frames_for_bkgd=100, every=1,
color_objs=False, disp_R=False, b=1.7, d=2,
false_color=False, cmap='jet', remove_positive_noise=True):
"""
Superposes images of an object onto one frame.
... | 10767c9d10e5d32af51a31f1f8eb85d8989bb5d4 | 3,650,550 |
def gen_s_linear(computed_data, param ):
"""Generate sensitivity matrix for wavelength dependent sensitivity modeled as line"""
mat=np.zeros((computed_data.shape[0],computed_data.shape[0]))
#print(mat.shape)
for i in range(computed_data.shape[0]):
for j in range(computed_data.shape[0]):
... | c18c31e65804d65ac7419a2037f889a0f9de2f96 | 3,650,551 |
import numpy
def upsample2(x):
"""
Up-sample a 2D array by a factor of 2 by interpolation.
Result is scaled by a factor of 4.
"""
n = [x.shape[0] * 2 - 1, x.shape[1] * 2 - 1] + list(x.shape[2:])
y = numpy.empty(n, x.dtype)
y[0::2, 0::2] = 4 * x
y[0::2, 1::2] = 2 * (x[:, :-1] + x[:, 1:]... | 4eb23d668154ac12755c0e65eeff485ac5e5dd23 | 3,650,552 |
import six
def mark_safe(s):
"""
Explicitly mark a string as safe for (HTML) output purposes. The returned
object can be used everywhere a string or unicode object is appropriate.
Can be called multiple times on a single string.
"""
if isinstance(s, SafeData):
return s
if isinstan... | dab8c0dfb78fd22fb35b5abc3680f74de8a1089a | 3,650,553 |
def _unravel_plug(node, attr):
"""Convert Maya node/attribute combination into an MPlug.
Note:
Tries to break up a parent attribute into its child attributes:
.t -> [tx, ty, tz]
Args:
node (str): Name of the Maya node
attr (str): Name of the attribute on the Maya node
... | 6513af00896a19e316e55beb5424fc15b2748b55 | 3,650,554 |
def index():
""" Root URL response """
return jsonify(name='Payment Demo REST API Service', version='1.0'), status.HTTP_200_OK | 2d370a9fdf1878f60af6de264d99193d06ff96d2 | 3,650,555 |
def unvoigt(A):
"""
Converts from 6x1 to 3x3
:param A: 6x1 Voigt vector (strain or stress)
:return: 3x3 symmetric tensor (strain or stress)
"""
a=np.zeros(shape=(3,3))
a[0,0]=A[0]
a[0,1]=A[5]
a[0,2]=A[4]
a[1,0]=A[5]
a[1,1]=A[1]
a[1,2]=A[3]
a[2,0]=A[4]
a[2,1]=A[3]
a[2,2]=A[2]
return (a) | 72b28fceedb5ae2d34c768d5c29b5924310ff2b3 | 3,650,556 |
import argparse
def get_parser():
"""
Creates a new argument parser.
"""
parser = argparse.ArgumentParser('niget_yyyymm.py',
formatter_class=argparse.RawDescriptionHelpFormatter,
description="""
help description
"""
)
version = '%(prog)s ' + __version__
parser.add_argument('--version', '-v', action='v... | 27be28a2a1e2d6a90a4485d27c22ce33998886c6 | 3,650,557 |
def _calculate_rmsd(P, Q):
"""Calculates the root-mean-square distance between the points of P and Q.
The distance is taken as the minimum over all possible matchings. It is
zero if P and Q are identical and non-zero if not.
"""
distance_matrix = cdist(P, Q, metric='sqeuclidean')
matching = lin... | 22261e75edf3edf378fa30daa5c33abc68ff93cd | 3,650,558 |
def initialize_parameters():
"""
Initializes weight parameters to build a neural network with tensorflow. The shapes are:
W1 : [4, 4, 3, 8]
W2 : [2, 2, 8, 16]
Note that we will hard code the shape values in the function to make the grading simpler.
Normall... | 43481172a70ea88bcf5cfbc95792365c5af2ea52 | 3,650,559 |
import time
import random
import string
import hashlib
def generate_dynamic_secret(salt: str) -> str:
"""Creates a new overseas dynamic secret
:param salt: A ds salt
"""
t = int(time.time())
r = "".join(random.choices(string.ascii_letters, k=6))
h = hashlib.md5(f"salt={salt}&t={t}&r={r}".enco... | 2a9bdf00daea91f13f34724d1c744c17e9b4d6cf | 3,650,560 |
import os
import shutil
def upload(slot_id):
"""
Upload a file
"""
form = request.form
# Is the upload using Ajax, or a direct POST by the form?
is_ajax = False
if form.get("__ajax", None) == "true":
is_ajax = True
# Target folder for these uploads.
target = os.path.join(... | c0a67ed62c581cbe8fdb644f5240d7c3d0bf2016 | 3,650,561 |
def is_sim_f(ts_kname):
""" Returns True if the TSDist is actually a similarity and not a distance
"""
return ts_kname in ('linear_allpairs',
'linear_crosscor',
'cross_correlation',
'hsdotprod_autocor_truncated',
... | 11c18983d8d411714ba3147d4734ad77c40ceedf | 3,650,562 |
import pika
from typing import Union
def initialise_pika_connection(
host: Text,
username: Text,
password: Text,
port: Union[Text, int] = 5672,
connection_attempts: int = 20,
retry_delay_in_seconds: float = 5,
) -> "BlockingConnection":
"""Create a Pika `BlockingConnection`.
Args:
... | 7364547a4836aea0b277098bed75b8c5ec874522 | 3,650,563 |
def units(arg_name, unit):
"""Decorator to define units for an input.
Associates a unit of measurement with an input.
Parameters
----------
arg_name : str
Name of the input to attach a unit to.
unit : str
Unit of measurement descriptor to use (e.g. "mm").
Example
-----... | 45bd1695cada5612e2ce9e39632ed1357556535f | 3,650,564 |
from typing import Callable
async def to_thread_task(func: Callable, *args, **kwargs) -> Task:
"""Assign task to thread"""
coro = to_thread(func, *args, **kwargs)
return create_task(coro) | ad666a91588a670be7babf84294f338f0148b8e1 | 3,650,565 |
import logging
import sys
def setup_logging(stream_or_file=None, debug=False, name=None):
"""
Create a logger for communicating with the user or writing to log files.
By default, creates a root logger that prints to stdout.
:param stream_or_file:
The destination of the log messages. If None, ... | 95f31df5f468261d0d0a0b85c8ffc8b6c5b7d1b7 | 3,650,566 |
from typing import Dict
from typing import Any
from typing import Optional
from typing import Union
from pathlib import Path
def combo2fname(
combo: Dict[str, Any],
folder: Optional[Union[str, Path]] = None,
ext: Optional[str] = ".pickle",
sig_figs: int = 8,
) -> str:
"""Converts a dict into a hum... | 9951171647167e39753546645f8e1f185d9fa55a | 3,650,567 |
def cls_from_str(name_str):
"""
Gets class of unit type from a string
Helper function for end-users entering the name of a unit type
and retrieving the class that contains stats for that unit type.
Args:
name_str: str
Returns:
UnitStats
"""
name_str = name_str.l... | 4dc26f8586065319a25f8965a5267308bd8dbfea | 3,650,568 |
def convert_to_github_url_with_token(url, token):
"""
Convert a Github URL to a git+https url that identifies via an Oauth token. This allows for installation of
private packages.
:param url: The url to convert into a Github access token oauth url.
:param token: The Github access token to use for th... | 9b9c5e17cb389eb938af1221518a6838e65712bc | 3,650,569 |
from datetime import datetime
import numpy
def get_numbers_of_papers(metrics):
"""
Convert the metrics into a format that is easier to work with. Year-ordered
numpy arrays.
"""
publications = metrics['histograms']['publications']
year, total, year_refereed, refereed = [], [], [], []
y = l... | ce8b079ea416ff01b4974ea7ae7aa82080321cbb | 3,650,570 |
import json
from typing import Dict
def test_base_provider_get_transform_json_exception(mock_name, mock_value):
"""
Test BaseProvider.get() with a json transform that raises an exception
"""
mock_data = json.dumps({mock_name: mock_value}) + "{"
class TestProvider(BaseProvider):
def _get(... | abb81b142a34f264466b808867bc3a7cc4460fcf | 3,650,571 |
def load_check_definitions(lang):
"""
Retrieve Trust Advisor check definitions
"""
retval = {}
resp = TA_C.describe_trusted_advisor_checks(language=lang)
if resp:
try:
checks = resp['checks']
retval = {a['id']:a for a in checks}
except ValueError:
... | 43bca091506d33270a7e0fa3ec6ca84e4c342bf6 | 3,650,572 |
def filter_phrase(comments, phrase):
"""Returns list of comments and replies filtered by substring."""
results = []
for comment in comments:
if phrase.lower() in comment.message.lower():
results.append(comment)
for reply in comment.replies:
if phrase.lower() in reply.... | 0865163f117550e36b2c21608739649b7b99f825 | 3,650,573 |
def asses_completeness(language_code: str, sw: ServiceWorker = Depends(get_sw)):
"""
make a completion test for language: check fe,be, domains and entries
@param language_code:
@param sw:
@return:
"""
if language_code not in sw.messages.get_added_languages():
raise ApplicationExcepti... | 9de6a9130ec34e47782679ac63d80707de5b98ce | 3,650,574 |
def create_intrinsic_node_class(cls):
"""
Create dynamic sub class
"""
class intrinsic_class(cls):
"""Node class created based on the input class"""
def is_valid(self):
raise TemplateAttributeError('intrisnic class shouldn\'t be directly used')
intrinsic_class.__name__ =... | ddcb0ba5f36981288fd9748f1f533f02f1eb1604 | 3,650,575 |
import os
def load(provider, config_location=DEFAULT_CONFIG_DIR):
"""Load provider specific auth info from file """
auth = None
auth_file = None
try:
config_dir = os.path.join(config_location, NOIPY_CONFIG)
print("Loading stored auth info [%s]... " % config_dir, end="")
auth_f... | b9dfb27bcef9216ff5fddd94decbd6bf3b9dc297 | 3,650,576 |
def segment_fish(image):
"""Attempts to segment the clown fish out of the provided image."""
hsv_image = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)
light_orange = (1, 190, 200)
dark_orange = (18, 255, 255)
mask = cv2.inRange(hsv_image, light_orange, dark_orange)
light_white = (0, 0, 200)
dark_wh... | c9ee166f12e9c344143f677939a82dd1a00a5fb5 | 3,650,577 |
def get_bugzilla_url(bug_id):
"""Return bugzilla url for bug_id."""
return u'https://bugzilla.mozilla.org/show_bug.cgi?id=%d' % bug_id | 051f37ab1eeb096d353317bfd9514b30d13ddd8a | 3,650,578 |
def enable_faster_encoder(self, need_build=True, use_fp16=False):
"""
Compiles fusion encoder operator intergrated FasterTransformer using the
method of JIT(Just-In-Time) and replaces the `forward` function of
`paddle.nn.TransformerEncoder` and `paddle.nn.TransformerEncoderLayer`
objects inherited f... | 4da1f669cefd291df4bc790dfc68fcbe5ce93f86 | 3,650,579 |
def func(*x):
""" Compute the function to minimise.
Vector reshaped for more readability.
"""
res = 0
x = np.array(x)
x = x.reshape((n, 2))
for i in range(n):
for j in range(i+1, n):
(x1, y1), (x2, y2) = x[i, :], x[j, :]
delta = (x2 - x1)**2 + (y2 - y1)**2 - ... | 775d4330ca77e04662f1920dd2160631deb30430 | 3,650,580 |
import torch
def transform_target(target, classes=None):
"""
Accepts target value either single dimensional torch.Tensor or (int, float)
:param target:
:param classes:
:return:
"""
if isinstance(target, torch.Tensor):
if target.ndim == 1:
target = target.item() if tar... | 5e1423b4beac4385fa4f328bfdfeed2859c28f7b | 3,650,581 |
from typing import List
from typing import Tuple
def merge_all_regions(out_path: str, id_regions: List[Tuple[int, File]]) -> Tuple[int, int, File]:
"""
Recursively merge a list of region files.
"""
if len(id_regions) == 1:
# Base case 1.
[(sample_id, region_file)] = id_regions
... | d9ebbdfec49b6e5702e4c16476a20440185e39ef | 3,650,582 |
import os
def write_champ_file_geometry(filename, nucleus_num, nucleus_label, nucleus_coord):
"""Writes the geometry data from the quantum
chemistry calculation to a champ v2.0 format file.
Returns:
None as a function value
"""
if filename is not None:
if isinstance(filename, str... | dfaaddb754e50c4343b60ae3f19f6f7b3af8ee73 | 3,650,583 |
def check_for_collision(sprite1: arcade.Sprite,
sprite2: arcade.Sprite) -> bool:
"""Check for collision between two sprites.
Used instead of Arcade's default implementation as we need a hack to
return False if there is just a one pixel overlap, if it's not
multiplayer...
"""... | 679de76d880c2e2e9ac34e0d87cc5cdd0211daa9 | 3,650,584 |
def modify_color(hsbk, **kwargs):
"""
Helper function to make new colors from an existing color by modifying it.
:param hsbk: The base color
:param hue: The new Hue value (optional)
:param saturation: The new Saturation value (optional)
:param brightness: The new Brightness value (optional)
... | ecc5118873aaf0e4f63bad512ea61d2eae0f7ead | 3,650,585 |
def train_val_test_split(df, train_p=0.8, val_p=0.1, state=1, shuffle=True):
"""Wrapper to split data into train, validation, and test sets.
Parameters
-----------
df: pd.DataFrame, np.ndarray
Dataframe containing features (X) and labels (y).
train_p: float
Percent of data to assign... | 67b50b172f94ee65981ab124f03e192c7631c49c | 3,650,586 |
def add_logs_to_table_heads(max_logs):
"""Adds log headers to table data depending on the maximum number of logs from trees within the stand"""
master = []
for i in range(2, max_logs + 1):
for name in ['Length', 'Grade', 'Defect']:
master.append(f'Log {i} {name}')
if i < max_logs... | 5db494650901bfbb114135da9596b9b453d47568 | 3,650,587 |
def stations_at_risk(stations, level):
"""Returns a list of tuples, (station, risk_level) for all stations with risk above level"""
level = risk_level(level)
stations = [(i, station_flood_risk(i)) for i in stations]
return [i for i in stations if risk_level(i[1]) >= level] | c18ef9af1ac02633f2daed9b88dfe6d72e83481a | 3,650,588 |
from pathlib import Path
import fsspec
def try_to_acquire_archive_contents(pull_from: str, extract_to: Path) -> bool:
"""Try to acquire the contents of the archive.
Priority:
1. (already extracted) local contents
2. adress-specified (local|remote) archive through fsspec
Returns:
True... | e510e165db9d57357b5c1e588db5563b08bf407f | 3,650,589 |
def unproxy(proxy):
"""Return a new copy of the original function of method behind a proxy.
The result behaves like the original function in that calling it
does not trigger compilation nor execution of any compiled code."""
if isinstance(proxy, types.FunctionType):
return _psyco.unproxycode(proxy.func_... | 7fad2339a8e012fd95117b73b79a371d4488e439 | 3,650,590 |
from typing import Optional
def get_measured_attribute(data_model, metric_type: str, source_type: str) -> Optional[str]:
"""Return the attribute of the entities of a source that are measured in the context of a metric.
For example, when using Jira as source for user story points, the points of user stories (... | f15379e528b135ca5d9d36f50f06cb95a145b477 | 3,650,591 |
def get_one_frame_stack_dynamic(sp, idx):
"""
for a given sp and index number in a dynamic caller operand_stack data, return its
data type and value.
Note, at runtime, caller.operand_stack is dynamic, sp, idx, types and values are all
changing during the run time.
"""
if idx > sp:
r... | b621c25294e3d4aac720a35e73c3969b02ba5e31 | 3,650,592 |
def getIntArg(arg, optional=False):
"""
Similar to "getArg" but return the integer value of the arg.
Args:
arg (str): arg to get
optional (bool): argument to get
Returns:
int: arg value
"""
return(int(getArg(arg, optional))) | a30e39b5a90bd6df996bdd8a43faf787aed7128f | 3,650,593 |
from typing import Iterable
def get_in_with_default(keys: Iterable, default):
"""`get_in` function, returning `default` if a key is not there.
>>> get_in_with_default(["a", "b", 1], 0)({"a": {"b": [0, 1, 2]}})
1
>>> get_in_with_default(["a", "c", 1], 0)({"a": {"b": [0, 1, 2]}})
0
"""
gett... | dbb5a9753bad224245ffea884e33802930bb8ded | 3,650,594 |
def conv_HSV2BGR(hsv_img):
"""HSV画像をBGR画像に変換します。
Arguments:
hsv_img {numpy.ndarray} -- HSV画像（3ch）
Returns:
numpy.ndarray -- BGR画像（3ch）
"""
V = hsv_img[:, :, 2]
C = hsv_img[:, :, 1]
H_p = hsv_img[:, :, 0] / 60
X = C * (1 - np.abs(H_p % 2 - 1))
Z = np.zeros_like(C)
... | f748c88e9f4b2a3da2ee7d7703b0d3c9615e564b | 3,650,595 |
import torch
def remap(tensor, map_x, map_y, align_corners=False):
"""
Applies a generic geometrical transformation to a tensor.
"""
if not tensor.shape[-2:] == map_x.shape[-2:] == map_y.shape[-2:]:
raise ValueError("Inputs last two dimensions must match.")
batch_size, _, height, wid... | ff88d66b6692548979e45d2a00f6905e2d973c2a | 3,650,596 |
def AutoRegression(df_input,
target_column,
time_column,
epochs_to_forecast=1,
epochs_to_test=1,
hyper_params_ar={}):
"""
This function performs regression using feature augmentation and then training XGB with Crossval... | 704daf914897b7a43971b22d721ec0f1bb919d3e | 3,650,597 |
def VMACD(prices, timeperiod1=12, timeperiod2=26, timeperiod3=9):
"""
39. VMACD量指数平滑异同移动平均线
（Vol Moving Average Convergence and Divergence，VMACD）
说明：
量平滑异同移动平均线（VMACD）用于衡量量能的发展趋势，属于量能引趋向指标。
MACD称为指数平滑异同平均线。分析的数学公式都是一样的，只是分析的物理量不同。
VMACD对成交量VOL进行分析计算，而MACD对收盘价CLOSE进行分析计算。
计算方法:
SHORT=... | 5de5f372cb7ef6762b82f30d16465469b2cb6afc | 3,650,598 |
def try_compress_numbers_to_range(elements):
"""
Map the "number" attribute of any element in `elements` to the most compact
range possible (starting from 1). If the resulting numbers are within
[MIN_RANGE, MAX_RANGE], return True, otherwise, return False. If it is not
possible to obtain a mapping w... | 2927046f5bb4217a5267db764fd58275f3fe65ce | 3,650,599 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.