content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def Interp(theta, intervals):
"""
This just turns the 7 points into 90 points linearly spaced in joint space
"""
long_theta = []
parts = np.zeros((6,intervals-1))
for i in range(int(len(theta)-1)):
delta = (theta[i+1]-theta[i])/intervals
parts[i] = np.linspace(theta[i],the... | e0461aae4c0e3e70ab9e538b45792453003fd36d | 65,300 |
import os
import pickle
def load_face_encodings(image_path, encodings_path):
"""Load face encodings from cache or from files."""
face_id = 0
# checking for cache
if encodings_path in os.listdir():
print('load encodings from cache')
with open(encodings_path, 'rb') as f:
tm... | b08bb14c81576be8d312db99180eb793450121fe | 65,301 |
def _makeScriptOrder(gpos):
"""
Run therough GPOS and make an alphabetically
ordered list of scripts. If DFLT is in the list,
move it to the front.
"""
scripts = []
for scriptRecord in gpos.ScriptList.ScriptRecord:
scripts.append(scriptRecord.ScriptTag)
if "DFLT" in scripts:
... | 6c67698c3d084c8e8f038e05a8d8e53811220a15 | 65,302 |
from typing import Union
def tiny(url: str) -> Union[str, None]:
"""
:param url: url
:return: short url
:rtype: Union[str,None]
"""
try:
return Shortener().tinyurl.short(url)
except:
raise tinyUrlError | 16d34a0984a30fbcf2fa0a0239b8c9c01b247d55 | 65,303 |
import math
def axisRotation(axis,angle):
"""Compute rotation matrix. From TDL.
@param axis: The axis of rotation; must be unit length.
@type axis: vec3, vec4, or list of at least three scalars
@type angle: scalar
@param angle: Angle, in radians
@rtype: mat4
"""
#axis=normalize(axis)
... | c8626374d428057d7279859f479065032b8f9b60 | 65,304 |
import importlib
def get_metarig_module(metarig_name):
""" Fetches a rig module by name, and returns it.
"""
name = "rigify.legacy.%s.%s" % (METARIG_DIR, metarig_name)
submod = importlib.import_module(name, package=MODULE_NAME)
importlib.reload(submod)
return submod | 79c16e2ab040286b4a4dda9cf0578bb04d41f7f9 | 65,305 |
import torch
from typing import Tuple
from typing import List
def concat_enc_outs(
input: torch.LongTensor,
enc_out: torch.Tensor,
mask: torch.BoolTensor,
embedding_size: int,
padding_idx: int,
) -> Tuple[torch.Tensor, torch.BoolTensor]:
"""
Concatenate Encoder Outputs.
Does the whole... | 6b1794966229a8f7658afcb70a5e91a652e6b1c5 | 65,306 |
import re
def insert_tags(tags, session):
"""Inserts a list of tag dictionaries into the database
Args:
tags (list): A list of tags, where each tag is a dict with a 'tag' key
and a 'tagged_card' key
session (sqlalchemy session): a session with the database
Returns:
li... | f9f80a421f64540edaa2562d459a26b8b142a6d2 | 65,307 |
def task_zip_release() -> DoitTask:
"""Zip up important information in the releases directory.
Returns:
DoitTask: doit task
"""
return debug_task(_zip_release()) | 63df07052174893705cfffa8bcc2cdcc67760eae | 65,308 |
import typing
import os
import tqdm
def get_metadata_from_files_in_folder(
folder_path: str,
hash_flag: bool,
relative_paths_from_ia_metadata: typing.Optional[typing.List[str]] = None,
) -> typing.Dict[str, str]:
"""Return dict of file paths and metadata of files at a directory (and its subdirectories... | af034c9e210b249133284cab8fb5094a84235545 | 65,309 |
def windowed_mean(a, w, mode='reflect', axis=0):
"""
Perform rolling window average (smoothing).
Args:
a: array
w: window length
mode: see jnp.pad
axis: axis to smooth down
Returns: Array the same size as `a`
"""
if w is None:
return jnp.broadcast_to(jnp... | 7d4fed029ba7f523b8b44361784aef4b857b4cee | 65,310 |
import re
def _reg_name_regex():
"""Compile regular expression for RFC3986_ reg-name production
_RFC3986: https://www.ietf.org/rfc/rfc3986
"""
# unreserved = ALPHA / DIGIT / "-" / "." / "_" / "~"
unreserved = r"[A-Za-z0-9-._~]"
# pct-encoded = "%" HEXDIG HEXDIG
pct_encoded = r"%[0-9A-... | 9af962094a9d52c49942f472506c37770da2156e | 65,311 |
import requests
def is_retryable_exception(exception: Exception) -> bool:
""" Helper method to catch HTTP errors that are likely safe to retry.
Args:
exception: exception raised from ApiClientSession.api_request instance
"""
for ex in [requests.exceptions.ConnectionError, requests.exceptions.T... | 97025db6c5a6bb74a8e3e70b89f5ebd49b9bba31 | 65,312 |
def _filter_codesign_output(codesign_output):
"""Filters the codesign output which can be extra verbose."""
filtered_lines = []
for line in codesign_output.split("\n"):
if line and not _BENIGN_CODESIGN_OUTPUT_REGEX.search(line):
filtered_lines.append(line)
return "\n".join(filtered_lines) | 9fd429c870a14401386a88dd35c99e12e5a3b395 | 65,313 |
def setup(
epochs: int
) -> tuple:
"""
Setup for running neural network experiments
:param epochs: int, number of epochs to run
:return: tuple, inputs for function to run neural network
"""
ccfd_data = get_data()
train_data, train_target, val_data, val_target, test_data, test_target... | 11254e12ed1ef8497196b0536dc4db7748a81d2b | 65,314 |
def api(tac):
"""TAC API endpoint."""
if len(tac) != 8:
abort(400, 'Bad TAC format')
try:
int(tac)
except ValueError:
abort(400, 'Bad TAC format')
with get_db_connection() as db_conn, db_conn.cursor() as cursor:
cursor.execute('SELECT * FROM gsma_data WHERE tac = %s... | ec4a84e5e480948efbe0e892546e4ceca7d07712 | 65,315 |
def get_global_default_branding(branding_type):
"""
Args:
branding_type (unicode)
Returns:
DefaultBranding
"""
return DefaultBranding.default_key(branding_type).get() | 3d65a39130ad9ede30168fa137df47a13d1dcd89 | 65,316 |
import logging
def _run_binomial_test(contingency_table, verbose):
"""Runs one-sided binomial test using contingency_table.
The null hypothesis is that both models have the same error rate. The
alternative hypothesis is that model 1 has a higher error rate.
See: https://en.wikipedia.org/wiki/Sign_test
Ar... | 88bfa0ec5d3c9db07fc1e567adaaee78d817e3ff | 65,317 |
def translate_address(PARAMETER):
"""
Translates address for use in HBN chain
[PARAMETER] is required and can be any crypto address.
"""
d = urllib2.urlopen(blockexplorer('translate_address') + '/' + str(PARAMETER))
return d.read() | f32da642448781d6d8102cf423d8fa0b86738318 | 65,318 |
def _pressure_conditions(pressure: reaction_pb2.PressureConditions) -> str:
"""Generates a text description of pressure conditions.
Args:
pressure: PressureConditions message.
Returns:
String description of the pressure conditions.
"""
txt = ""
if pressure.atmosphere.type != pr... | 8dfce7a6b402f48ad5612fe736ca8260a3429739 | 65,319 |
def max_future_level(station, poly, shift, start, days):
"""This function returns the maximum relative level predicted for the next day by the best-fit polynomial curve."""
start = date2num(start)
# Array of times from present moment to one day later
x = np.linspace(start, start+days, 100)
# Array of p... | 05ddf0323ff3521d260b3496e86440dbbbe7b38d | 65,320 |
def config_top_path_get(path):
"""Get entry in config top-level
For anything not in the modules section.
"""
config = read_config()
path = path.split("/")
success, end_node = _traverse_module(config, path)
if not success:
return end_node
ret = {"value": end_node}
return js... | ec08e3c08e2344a41ba92ccbde374b9e62a925bf | 65,321 |
import logging
def prepare():
"""
应该只有修改需要prepare+commit, 所以在客户端层应该已经判定了是读还是写了.
:return:
"""
data = request.json
print(request.data)
logging.debug(f"receive data: {data}")
id = FileNoSQL().record_log(data["key"], data["value"])
if id > 0:
return {"code": 0, "msg": "succeed ... | e40cb87506d172d7cc560d36ade5f727053891ba | 65,322 |
def circuit_identity_phasepoly() -> Circuit:
"""Returns a 4-qubit circuit that is equal to the identity, provable by phase polynomial reductions."""
c = Circuit(4)
c.add_gate("ParityPhase",Fraction(1,4),0,1,2,3)
for i in range(4):
c.add_gate("ZPhase",i, Fraction(3,4))
for j in range(i+1,... | a9ed41cdc8462af8efb797ecf1cfe7e96fc3c9c7 | 65,323 |
def build_U (base=None, min_rooms=0, rooms=2, rooms_wide=2, placement=None, outer=None, inner=None, room_height=None):
"""
Modifies the results of base_builder() to result in an U-shaped layout.
:``base``: The base shape collection. If None, a new base will be built from
base_builder. *Defau... | c88944b95bfe73680ec3dc8eed64d54e13e2c7e8 | 65,324 |
def kmp(main, pattern):
"""
kmp字符串匹配
:param main:
:param pattern:
:return:
"""
assert type(main) is str and type(pattern) is str
n, m = len(main), len(pattern)
if m == 0:
return 0
if n <= m:
return 0 if main == pattern else -1
# 求解next数组
next = get_next... | 747379be5fcc52150a82c7ceb3d4343a0934169b | 65,325 |
def make_sentiment_dashboard(topic):
"""
Make a sentiment analysis dashboard for a given topic.
"""
data = load_topic_comprehend(topic)
sent_res = general_sentiment(data)
gauge1 = make_sentiment_gauge(
'Positive Sentiment', sent_res['mean_pos_sent'])
gauge2 = make_sentiment_gauge(
... | 6acf7c3a77788d1e229744dfc7778ebe2c08b92d | 65,326 |
import copy
def GetPackageMap(target):
"""Compiles a package map for the given target from the constants.
Uses a cache in target_version_map, that is dynamically filled in as needed,
since here everything is static data and the structuring is for ease of
configurability only.
Args:
target: The target ... | c37c47bf0832b878debe53a1afa4868507936490 | 65,327 |
def generate_launch_description():
"""launch grasshopper camera node."""
flir_dir = get_package_share_directory('flir_spinnaker_ros2')
config_dir = get_package_share_directory('flir_spinnaker_ros2') + '/config/'
launch_arg = LaunchArg('camera_name', default_value='grasshopper',
... | 78d0425b1c793ff4a7dbaa07a3ad00dc36f119a1 | 65,328 |
import pickle
def deliver(conn, localobj):
"""delivers (recreates) a local object on the other party. the object is
moved by *value*, so changes made to it will not reflect on the local
object. returns a proxy to the remote object"""
return conn.modules.cPickle.loads(pickle.dumps(localobj)) | 5587d08d9ed984a919bdd1fc51e0f3b1e69d5896 | 65,329 |
def calc_all_energies(n, k, params):
"""Calculate all the energies for the 2^n or 3^n states in model.
Parameters
----------
n : int
Number of spins.
k : int
Number of distinct states.
params : ndarray
(h,J) vector
Returns
-------
E : ndarray
Ene... | d9279ce6b59a1148270b69be6c2fefc8c203cebf | 65,330 |
def proximity(geoname_id):
"""
Get cities closest to the specified one.
:param geoname_id: int - ID associated with a city
:returns: Flask response
"""
extra_query_params = [key for key in flask.request.args
if key not in {'k', 'countryCode'}]
if extra_query_params... | 81a4db6da43662421bf64c6666297a9927eacc95 | 65,331 |
def prepare_abe_connectivity_problem_response():
"""
Generates a response to send to AVS indicating there was a problem talking to ABE.
:return {dict}: a response to be sent back to AVS
"""
return prepare_response('There was a problem speaking to ABE. Please contact your Library Overlord.') | 661277db7f20af7b625c0abf2b965702d280aa76 | 65,332 |
import io
def create_taxon_distribution(taxonkey):
"""returns a distribution matrix for given taxon taxon by applying filters"""
logger.info("working on taxon {}".format(taxonkey))
_filters = (
filters.polygon,
filters.fao,
filters.latitude,
filters.depth,
filters... | c0c9eb5d058f3166edee086687f38ed0511bd953 | 65,333 |
def obtener_cantidad_por_ciudades_mensualmente_y_anualmente(PaisOrigen, AnioInicio, AnioFin):
"""
Obtener cantidad de vuelos salientes totales en todas las ciudad de un pais durante un rango de años separando por meses
Obtiene la cantidad de vuelos salientes en todas las ciudades de un pais durante un rango... | 94b2f4d8c4ee39d7ba61b999880727ca28fc7bbd | 65,334 |
import ctypes
def device_array_from_ptr(ptr, nelem, dtype=np.float, finalizer=None):
"""
device_array_from_ptr(ptr, size, dtype=np.float, stream=0)
Create a Numba device array from a ptr, size, and dtype.
"""
# Handle Datetime Column
if dtype == np.datetime64:
dtype = np.dtype("datetim... | 069243086b6aa32218d1252dfba5fca4502ca4b0 | 65,335 |
import math
def poids_attirance(p, dist):
"""
Calcule le poids d'attraction d'une neurone vers une ville.
"""
d = p[0] * p[0] + p[1] * p[1]
d = math.sqrt(d)
d = dist / (d + dist)
return d | 4a997566d19dc7e436a3a1704be7b5ac74424266 | 65,336 |
def computeSamplePvalue(distribution: list, statistic_value: float) -> float:
"""
Compute sample p-value given null distribution and statistic value
"""
N_equal_more_extreme = len(
np.where(np.array(distribution) >= statistic_value)[0]
)
N_total = len(distribution)
return N_equal... | d25444b18cadfc766874829813afe3b45779777c | 65,337 |
from typing import Union
from typing import Tuple
def compute_stats(tris: Union[Triangle64, Triangle32], mass: Real) -> Tuple[np.ndarray, float, float, np.ndarray,
np.ndarray, np.ndarray, np.ndarray]:
"""
Compute statistics on a shape... | 640ecd625aa55fef475f1d16c54e196fff9e9a39 | 65,338 |
import math
def check_path(flow, G, routing_policy=default_routing_policy, debug=False):
"""
Check the path of a given flow in the topology.
Args:
flow: The flow spec to check.
G: The topology object.
Returns:
the AS-PATH length of the route.
nan - no route
in... | cff8c1bbf4a8b354ea09eb613640d640f90b7ef9 | 65,339 |
def render_template_string(source, **context):
"""Renders a template from the given template source string
with the given context.
:param source: the sourcecode of the template to be
rendered
:param context: the variables that should be available in the
con... | 94cf2bfb3b8fe9817628932544b00efe560ebfda | 65,340 |
def save_route(route):
""" Save route information into database. """
u_id = current_user.get_id()
db.session.add(Route(u_id, route))
db.session.commit()
flash('Your route has been saved.')
return redirect('/') | 9e05664e6204175e783fe492ab3362d98323ac1c | 65,341 |
def dedup(records):
"""Remove any identical records from the list.
Args:
records (list(dict)): the list of dicts to be filtered.
Returns:
list(dict): the list of records with any duplicates removed.
The list returned contains records in the same order as the original list.
"""
... | f3aadddf1458a08d36331a74722e12057d8ab8f9 | 65,342 |
import inspect
def is_functional_member(member):
"""
Check whether a class member from the __dict__ attribute is a method.
This can be true in two ways:
- It is literally a Python function
- It is a method descriptor (wrapping a function)
Args:
member (object): An object in t... | 268068600689a7935c9a8b26aa14ca09f9679228 | 65,343 |
def read_mask(img_gt_path):
""""
Thay đổi ảnh mask trong grayscale về 0, 1, 2(background/non-neoplastic/neoplastic).
@param: img_gt_path(path to folder contains gt)
@return: img_gt sau khi quy về mask 0, 1, 2
"""
img_gt = cv2.imread(img_gt_path, 0)
img_gt[img_gt < 10] = 0
img_gt[(img_gt... | d4ca70c4f4f9f90f2a5a89d625997f11f0b8c7fc | 65,344 |
import time
def algo_graph_iht(
x_mat, y_tr, max_epochs, lr, x0, tol_algo, edges, costs, s,
g=1, root=-1, gamma=0.1, proj_max_num_iter=50, verbose=0):
""" Graph Iterative Hard Thresholding proposed in [4] and projection
operator is proposed in [2].
:param x_mat: the design ma... | 6e7f66a07b30d360c46217246b1cd598df158aae | 65,345 |
def restore_reply(request, id):
"""Restore reply"""
reply = get_object_or_404(Reply, pk=id)
if reply.status == '6deleted' or reply.status == '5hidden':
reply.status = '1normal'
reply.save()
else:
return error_page(request)
referer = get_referer(request)
return redirect(r... | c8a26f26605ad8b6ca7731c6e12bddff91e47cb3 | 65,346 |
from datetime import datetime
import math
def format_unixtime_ms(unixtime):
"""
Format a unix timestamp in ms to a human readable string
"""
if unixtime:
return str(datetime.datetime.fromtimestamp(math.floor(unixtime / 1000)).strftime("%x %X %Z"))
else:
return "" | e17aa14612686ca5156862352c424c1bdcb3a519 | 65,347 |
def convert_x1y1x2y2_to_XcYcWH(box):
"""
Convert box from dictionary of {"x1":,"y1":,"x2":,"y2"} to {"x_centre":,"y_centre":,"width":,"height":}
Assumption 1: point 1 is the top left and point 2 is the bottom right hand corner
"""
assert box["x1"] <= box["x2"]
assert box["y1"] <= box["y2... | e7da7353b64b969b4c51dc7ece06729b05bad31e | 65,348 |
import numpy
def _plot_panel(ax, ds, fieldName, scale, lower, upper, cmap, normType):
"""
Plot a single panel for a given model in a movie frame
"""
ax.set_adjustable('box')
ds = ds.where(ds[fieldName].notnull(), drop=True)
field = ds[fieldName].values
x = 1e-3*ds['xGL'].values
y = ... | d64d46358fb512d17f41b7315a3f1ca53d4ac820 | 65,349 |
def cms_cancel(request, context):
"""show menu"""
if context.get('edit_mode'):
url = context.get('coop_cms_cancel_url', None)
if url:
return make_link(
url, _('Cancel'), 'times', classes=['alert_on_click', 'icon']
) | 772f6e601fd4f361438861c1f56afdc269029f77 | 65,350 |
def convert_to_onehot(
xs: ArrayLike,
n_classes: int = 0,
) -> np.ndarray:
"""Convert an integer-valued ordinal array to one-hot representation.
Also supports converting binary probabilities to categorical ones,
via the mapping p -> [1-p, p].
If `n_classes == 0`, then
it is inf... | 0cd86216beca7ab3d1a4bd80e1184e34574c4a5f | 65,351 |
def get_decoded_token(token, secret_key='aws-saas-factory'):
"""
Decodes token using PyJWT library
:param token:
:param secret_key='aws-saas-factory':
"""
return jwt.decode(jwt=token,
key=secret_key,
algorithm='HS256') | 3ccbd0f27debfa213d17dd455e95d8609eecc234 | 65,352 |
def format_date_pretty(date_to_format: str) -> str:
"""
Format a date that is in the format YYYY-MM-DD into: 'Name_Of_Month Day, Year'
:param date_to_format: The date to convert.
:return: An easier to read format of the date_to_format.
"""
date_array = date_to_format.split("-")
day = date_a... | 02f8c872057b5b601b83dee9bf34f2174c03340e | 65,353 |
def get_unbounded_params(params):
"""Retrieve unbounded version of model parameters used to fit concentration history.
Parameters
----------
params : sequence
Values of the model parameters. Values should respect the parameter bounds.
Returns
-------
u_params : sequence
Val... | f39f4d1edeac8745962472c302cb1d25ed9bb267 | 65,354 |
def read_dictionary():
"""
This function reads file "dictionary.txt" stored in FILE
and appends words in each line into a Python list
"""
lst = []
with open(FILE, 'r') as f:
for word in f:
lst.append(word.strip())
return lst | 99a71ba31de68686348e06f4c6f1e34cb9785861 | 65,355 |
import json
def get_word_vec_top_sentences(block_vec,wiki_fpath,num_output=10):
""" Takes in a sentence and returns the most similar sentences within the wikipedia corpus.
args:
block_vec (np.array): shape(300,), average word embeddings for a block of text
wiki_fpath (str): path to the wikiped... | b83c1c05a56c1d55968e25562bed6237c6455b4b | 65,356 |
def resnet_v2(input_shape, depth, num_classes=10):
"""ResNet Version 2 Model builder [b]
Stacks of (1 x 1)-(3 x 3)-(1 x 1) BN-ReLU-Conv2D or also known as
bottleneck layer
First shortcut connection per layer is 1 x 1 Conv2D.
Second and onwards shortcut connection is identity.
At the beginning of... | 370146c54b5c11f59a7a2519fad036180103b953 | 65,357 |
from typing import Union
def get_quantize_parent_for_dequantize_node(
quantized_model: ModelProto, dequantize_node: NodeProto
) -> Union[NodeProto, None]:
"""
Returns the first quantize node found by traversing the first node input of the
given de-quantize node's ancestors. All inputs to de-quantize n... | 90589484e31db357fe416216f98dd3c6200fd3b4 | 65,358 |
import six
def colormap_to_rgba(colormap):
"""
Convert color ma to rgba colors.
"""
if 'continuous' in colormap:
return {k: hex_to_rgba(v) if isinstance(v, (six.string_types, int)) and k in ['from', 'to', 'over'] else v for k, v in colormap.items()}
else:
return {k: hex_to_rgba(v) ... | 5d54173f4b93876c7050377218206343e688fd03 | 65,359 |
def align(a, b, d=-5, s=lambda x,y: x==y, key=lambda x: x, gap=None):
"""Find the globally optimal alignment between the two sequences a and b
using gap penalty d and similarity function s, and return the aligned
sequences. The similarity function is applied to the result of key(x)
and key(y) for each x... | f02b37fedfe8aefec215bbce98902efc59318ff6 | 65,360 |
import importlib
def find_dataset_using_name(dataset_mode):
"""
Get the dataset of certain mode
"""
dataset_filename = "datasets." + dataset_mode + "_dataset"
datasetlib = importlib.import_module(dataset_filename)
# Instantiate the dataset class
dataset = None
# Change the name format... | 665f0a7510f60f6b1455b778dca0969393e3e47f | 65,361 |
import argparse
def update_namespace(args, dictionary, overwrite=True, rest=False):
"""update Namespace with given dictionary
Args:
args (Namespace): Namespace to be updated
dictionary (dict): dictionary
overwrite (bool, optional): If True, All Namespace value will overwritten by dict... | e75e933b2e174353c2db8ce595fa07232f2e5c1d | 65,362 |
def ParseOneFile(f, iwyu_record):
"""Given a file object, read and classify the lines of the file.
For each file that iwyu_output mentions, we return a list of LineInfo
objects, which is a parsed version of each line, including not only
its content but its 'type', its 'key', etc.
Arguments:
f: an iterab... | 2bf1a17d846be95fd595f68bc4dccec181c07c20 | 65,363 |
def get_warcraft_logs_url(zone_id, character_name, wcl_token, realm):
"""
Returns the warcraft logs url for the player with the given character name
and the given zone id.
Returns None if warcraft logs could not be found for the given character.
"""
parse_url = f'https://classic.warcraftlogs.... | 84a0ea83f2f77f630573a9a851ab382a3a5c2ee2 | 65,364 |
def svn_repos_verify_fs3(*args):
"""svn_repos_verify_fs3(svn_repos_t * repos, svn_revnum_t start_rev, svn_revnum_t end_rev, svn_boolean_t check_normalization, svn_boolean_t metadata_only, svn_repos_notify_func_t notify_func, void * notify_baton, svn_repos_verify_callback_t verify_callback, void * verify_baton, svn_... | e4022ac5bb22c3918e9f603842d457d79ba9c321 | 65,365 |
def sigma(find="sigma", printEqs=True, **kwargs):
"""
Stress
Where:
sigma = stress
P = load
A0 = original cross-sectional area
"""
eq = list()
eq.append("Eq(sigma, P / A)")
return solveEqs(eq, find=find, printEq=printEqs, **kwargs) | 67ff64a1692dee0f6b2d6f21a3cae4734ebeae2a | 65,366 |
def check_authentication(func):
"""
检测是否登录成功过，不成功则跳转到登录页面
:param flask_app:
:return:
"""
def __check_authentication(*args, **kwargs):
if "ok" in session and session["ok"]:
return func(*args, **kwargs)
else:
return jsonify(status=403, message="未能授权成功", d... | ba659418c6261e2a4c7a998e58cf94abced59a88 | 65,367 |
def polynomial_3_integral_from_zero(x, a, b, c, d):
"""Integral of polynomial order 3 where f(x) = a + b * x + c * x**2 + d * x**3.
Integral(f(x)) 0 -> x = a * x + b * x**2 / 2 + c * x**3 / 3 + d * x**4 / 4
"""
return x * (a + x * (b / 2.0 + x * (c / 3.0 + x * d / 4.0))) | 50e7d899e2f509bef0d15cef4fffca6d4af44934 | 65,368 |
def get_event_signature_with_args(hex_signature, args):
"""
Requests the event signature from the CSV file based on the hex_signature
including ongoing names for the parameters
Args:
hex_signature: the 32-byte signature of the event as hex value
args: the names of the parameters of the even... | 7cc8f3cc8742ef364aab5aac573980a38fdfd48f | 65,369 |
import logging
def convert_label_map_to_categories(label_map,
max_num_classes,
use_display_name=True):
"""Loads label map proto and returns categories list compatible with eval.
This function loads a label map and returns a list of dicts, ea... | 3dd504f90e129986378a6a7e4130953e89c50bd1 | 65,370 |
def RPL_ENDOFUSERS(sender, receipient, message):
""" Reply Code 394 """
return "<" + sender + ">: " + message | 3591d9bf24060ae3baf443824a5bd16ecf1309be | 65,371 |
def pancake(N=500, band=0, seed=42):
"""
Sample of the :func:`pancake_field <skgstat.data.pancake_field>`.
By default, the Red band is sampled at 500 random
location without replacement.
Parameters
----------
N : int
Number of sample points to use.
band : int
can be 0 (R... | 618a819f02d55cb146a3273a2c14ddd52715825a | 65,372 |
def get_dataset_url(hit):
"""Select dataset url."""
ret_url = None
for url in hit["_source"].get("urls", []):
if url.startswith("http"):
ret_url = url
if url.startswith("http") and "amazonaws.com" in url:
ret_url = url
if url.startswith("http") and "googleapi... | 1d78757dda61d762008a78e4b9463c7248978f56 | 65,373 |
def test_dag():
"""Creates a test DAG with a few operators to test on."""
def f(task_id):
return f"OP:{task_id}"
with DAG(dag_id="test_xcom_dag", default_args=DEFAULT_ARGS) as dag:
operators = [PythonOperator(python_callable=f, task_id="test_op_%i" % i) for i in range(4)]
return da... | 9acd944fd57a13baa525141d768c8740237a1f04 | 65,374 |
def flip(x: tf.Tensor) -> tf.Tensor:
"""Flip augmentation
Args:
x: Image to flip
Returns:
Augmented image
"""
x = tf.image.random_flip_left_right(x)
x = tf.image.random_flip_up_down(x)
return x | 949defcc6a76866273aaebc4e9da108996efb72f | 65,375 |
def n_dyts_by_count(cnt, dytmat):
"""
Used to "triangle" dytmats, return the dyt_i for the last of a given count.
"""
# Concat an extra False on to this list because argmin of a uniform
# array has the annoying property of returning -1.
# argmin([True, True, True]) == -1 but I want it to return ... | f19816a2261bbee9590beeb3722c018b7e46fc5b | 65,376 |
def peak_slicer(peaks_dirs, peaks_values=None, mask=None, affine=None,
colors=(1, 0, 0), opacity=1, linewidth=1,
lod=False, lod_points=10 ** 4, lod_points_size=3):
""" Visualize peak directions as given from ``peaks_from_model``
Parameters
----------
peaks_dirs : ndarray... | 84b1ea9de050ebfc4d45f088ecd698e94a5fb6ea | 65,377 |
from typing import Optional
import os
def get_data_loader(data_config: dict, mode: str) -> Optional[DataLoader]:
"""
Return the corresponding data loader.
Can't be placed in the same file of loader interfaces as it causes import cycle.
:param data_config: a dictionary containing configuration for data... | 3c208880e9e370823c79987e9b0663cef37670b4 | 65,378 |
from typing import List
def create_path_from_se2(states: List[StateSE2]) -> InterpolatedPath:
"""
Constructs an InterpolatedPath from a list of StateSE2.
:param states: Waypoints to construct an InterpolatedPath.
:return: InterpolatedPath.
"""
progress_list = calculate_progress(states)
# ... | 7368e3a35a9443c64a44d8079c19cdeb1ce45e85 | 65,379 |
def col(name=None, dtype=None):
"""Return a symbolic column variable (ndim=2, broadcastable=[False,True]).
Parameters
----------
dtype : numeric
None means to use aesara.config.floatX.
name
A name to attach to this variable.
"""
if dtype is None:
dtype = config.floa... | 0b16ba2e2766fc0039c83b2ba52b3ec1b4e8dfd3 | 65,380 |
def _needed_for_ringsdb(card):
""" Check whether a card is needed for RingsDB or not.
"""
card_type = ('Treasure' if card.get(CARD_SPHERE) == 'Boon'
else card.get(CARD_TYPE))
return (card_type in CARD_TYPES_PLAYER and
card.get(CARD_ADVENTURE) != 'Promo') | 7a0efa91d97d85730a2c94c7332684c3c0320337 | 65,381 |
def AMOC_max(AMOC):
""" AMOC maximum at 26 deg N, 1000 m """
lats = approx_lats('ocn')
tdepths = create_tdepth('ocn')
j26 = find_array_idx(lats, 26) # 1451
z1000 = find_array_idx(tdepths, 1000) # 21
return AMOC.isel({'z_t':z1000, 'nlat':j26}) | 913df758a6ed03a9e6065ee484f8fbf9782f26fe | 65,382 |
import random
def list_all_derivations():
"""
>>> list_all_derivations()
"""
trace_id = str(random.randint(1000000, 9999999))
logger.info("[trace page start " + trace_id + "]")
dat = clib.read_db(path_to_db)
if request.method == "POST":
logger.debug("request.form = %s", request.fo... | 08fb34f7375aa2b0c861e93e50bfc3542732d6e6 | 65,383 |
import os
def get_script_module(script_name):
"""Load a script module."""
return read_json(os.path.join(file_location, script_name)) | 4897503d9cd35d8be1ed9a3682f8c4482971bff1 | 65,384 |
import tqdm
import torch
import os
import pickle
def encode_corpus(corpus, seq_len, min_token_len=1, max_sections_per_email=3, save_new_corpus=True,
file_path=None):
"""
Tokenizes, filters and converts text corpus into sequences of token indices. Generates input and output tensors.
:para... | 2978b7d0ab3c64e82413291a65901738c904beb5 | 65,385 |
def all_true_like(arr: pa.Array) -> pa.Array:
"""Return a boolean array with all-True with the same size as the input and the same valid bitmap."""
valid_buffer = arr.buffers()[0]
if valid_buffer:
valid_buffer = valid_buffer.slice(arr.offset // 8)
output_offset = arr.offset % 8
output_lengt... | d7f6b94e5e7e244377f1389d938c4daa06edecd9 | 65,386 |
def phrase_prob(lang1p, lang2p,
transfrom=2,
transto=1,
db="sqlite:///:memory:",
init_val=1.0e-10):
"""
"""
engine = create_engine(db)
Session = sessionmaker(bind=engine)
session = Session()
# search
query = session.query(TransP... | bf2dc8cb62395890fcfa84d77c379bccff1f60d4 | 65,387 |
from typing import Optional
from typing import Union
from typing import List
from typing import Dict
from pathlib import Path
def NekoTrainer(
logger: Optional[str],
checkpoint_callback: Union[bool, Callback] = True,
callbacks: Optional[Union[List[Callback], Callback]] = None,
default_root_dir: Option... | d066f42d9e23c8b33050caba692642c383a84a30 | 65,388 |
import scipy
def doLogLikelihoodTest( complex_ll, complex_np,
simple_ll, simple_np,
significance_threshold = 0.05):
"""perform log-likelihood test between model1 and model2.
"""
assert complex_ll >= simple_ll, "log likelihood of complex model smaller than... | 0d5858de204366e19c41704a83a37c2c9b04a45c | 65,389 |
def get_num_from_user(str_info, lower, upper):
"""Ask and returns a integer inputted by the user from a set range.
:param str_info: Text shown to the user
:param lower: Inferior range limit
:param upper: Superior range limit
:return: Integer from the user
"""
flag_finish = False
aux_inp... | cd5d30f4dfa3b340c92580e8d40fe9eca62efc1d | 65,390 |
def _import_resource(fixture_name, editor_group=None):
"""
Imports the XML resource description with the given file name.
The new resource is published and returned.
"""
result = test_utils.import_xml('{0}/repository/fixtures/{1}'
.format(ROOT_PATH, fixture_n... | 2640f38337e3cfd17e55f8b8c471577719188824 | 65,391 |
def edit_distance(s1: str, s2: str) -> int:
"""The minimum number of edits required to make s1 equal to s2.
This is also known as the Levenshtein distance.
An edit is the addition, deletion, or replacement of a character.
"""
if not s1:
return len(s2)
if not s2:
return len(s1)
M = [[0 for _ in... | bd433f8b52dd9826032ced7ece0fb7df8b5ad8cc | 65,392 |
def parse_seed(secret):
"""Your Stream secret is a seed from which the true private key can
be derived.
The ``Seed.parse_json()`` method of stm-lib supports different
ways of specifying the seed, including a 32-byte hex value. We just
support the regular base-encoded secret format given to you by t... | d91b182f4db7ee2399cd15e1297a13385d489489 | 65,393 |
import requests
def suggest_username(query: str) -> list:
"""
Function suggest the username for the
Instagram Accounts by Instagram
"""
with requests.session() as s:
response = s.get(home_url)
token = response.cookies["csrftoken"]
headers["x-csrftoken"] = token
dat... | 194339ade1afcc65999d9242ac8a0264cc0c062c | 65,394 |
def removeTags(text):
"""
"""
# {} wrapper generates a set instead of list to deal with repeated tags
tags = {tag.strip('#') for tag in text.split() if tag.startswith("#")}
text = text.replace('#', '')
return (text, tags) | 30e267e22da210d48b3271a2e57562b6bff92820 | 65,395 |
import os
import tqdm
def download_file(url, local_filename):
""" Simple wrapper around urlretrieve that uses tqdm to display a progress
bar of download progress """
local_filename = os.path.abspath(local_filename)
path = os.path.dirname(local_filename)
if not os.path.isdir(path):
os.maked... | 7d68fefe6ad21dc242c10afb363688bb51646c8a | 65,396 |
import os
def commit_for_dir(dir):
"""Returns a tuple of commit and workspace status.
Raises NoCommit if a commit is not available.
"""
dir = os.path.abspath(dir)
for scheme in SCHEMES:
commit = _apply_scheme(
dir,
scheme.commit_cmd,
scheme.commit_patte... | 43fd514a756d9e0f168a54bdfe94a24cc1e052ad | 65,397 |
def _remap_cortex_out(cortex_out, region, out_file):
"""Remap coordinates in local cortex variant calls to the original global region.
"""
def _remap_vcf_line(line, contig, start):
parts = line.split("\t")
if parts[0] == "" or parts[1] == "":
return None
parts[0] = contig... | 03357f276c6733508f17197a3300f1d55271e486 | 65,398 |
def to_base(base: t.Literal[2, 8, 16], number: int) -> str:
"""Convert any passed integer into given base as string."""
if base == 2:
return bin(number).replace("0b", "")
elif base == 8:
return oct(number).replace("0o", "")
elif base == 16:
return hex(number).replace("0x", "") | 478a1fdda832601c5f17aecdd1f4e716bf50d793 | 65,399 |
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