content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def value_at_path(d, path):
""" access value by object path
:param d: dict or list of dict
:param path: object path like `Data.1.UHostId`
:return: any value access by path
"""
if d is None:
return
indices = path.split(".")
result = d
for i, key in enumerate(indices):
... | cc3724a21893b9f40a6a069a836bbc8a30ac369e | 3,606,100 |
def __virtual__():
"""
Only work on Windows
"""
if salt.utils.platform.is_windows():
return __virtualname__
return False | f239909adbf99047da87316176b4dcd06cfa7a77 | 3,606,101 |
from typing import List
import shutil
def _get_build_bf_command(args: dict, in_fn: List[str]) -> List[str]:
"""Helper function to compose command to get the final Bloom Filter
:arg dict args: Dict of arguments.
:arg str in_fn: Path to file where the reads will be read
:ivar dict args: Dict of argume... | 9736a1825613dd518361bb1a5ded9b266293017a | 3,606,102 |
import http
def parse_xml(body, code, headers):
"""
Return a dictionary.
Transformation is done assuming:
1. If a tag indicates its value type, we'll try to cast it.
2. Siblings with the same tag name, become a list.
3. Attributes become a dict key starting with '@'.
<duck>
<n... | 05dcbbc5912a2b87158dcfa1e70505e0d6da1137 | 3,606,103 |
import sys
def _is_venv():
"""
:return:
"""
return hasattr(sys, 'real_prefix') or getattr(sys, 'base_prefix', sys.prefix) != sys.prefix | 87a6434bd4b572abbacf5b8bb81250e6287181d4 | 3,606,104 |
def is_user_diabetic(avg_glucose_level):
"""
desc: converts avg_glucose_level to category based on ADA Guidelines https://www.diabetes.org/a1c/diagnosis
args:
avg_glucose_level (float) : glucose level in blood based on mg/dL
returns:
blood_cat (string) : blood sugar category
"""
... | 59b8a9937f620c28eb51da4ef56c493d1b2177d8 | 3,606,105 |
import time
def get_Into_School_Page(logger, school_dict, driver):
"""
进入学校界面，获取学校相关信息
:param logger:
:param school_dict: 读取包含学校名和学校链接的字典
:param driver:
:return:
dict: 课程信息字典，包含课程名、上课人数、课程链接、学校
"""
school_list = list(school_dict['校名'].values())
school_url_list = list(school... | aa1131e67b1bdfc1eee8f3066101a3dcfe3ec24f | 3,606,106 |
def id_for_fund(fund):
"""Retrieves the integer identification number for the specified fund.
Parameters
----------
fund: String.
The fund whose integer identifier is requested.
"""
cur.execute("SELECT id FROM funds WHERE fund='{}'".format(fund))
return cur.fetchone()[0] | 0cc830d45a8c4597f27cb3aa7b615fc9fb889d72 | 3,606,107 |
import hmac
def verify_cron_job(cron_domain: str, secret_key: str) -> bool:
"""verify if the executor of the cron job is authorized"""
is_domain: bool = hmac.compare_digest(
cron_domain, config_instance.CRON_DOMAIN)
is_secret: bool = hmac.compare_digest(
secret_key, config_instance.CRON_SE... | af29a82c74e66a39d0e331ed7eee4461c3f15a1d | 3,606,108 |
import os
def _generate_version(base_version):
"""Generate a version with information about the git repository"""
pkg_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if not _is_git_repo(pkg_dir) or not _have_git():
return base_version
if _is_release(pkg_dir, base_version) a... | 0e63fe530b71bc1602c499fe7c4e3916c3a34df9 | 3,606,109 |
import re
def tokenize(text):
"""
:param text: string to tokenize
:return: text in form as clean token
"""
url_regex = 'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+'
detected_urls = re.findall(url_regex, text)
for url in detected_urls:
text = text.... | 5bc06666995920898599339a4d250c066fd36451 | 3,606,110 |
def label_sem_map(sem: np.ndarray, sort: bool=True) -> np.ndarray:
"""
Labels a given semantic segmentation map
Args:
---------
sem (np.ndarray):
semantic segmentation map. Shape (H, W)
sort (bool, default=True):
sort the semantic areas by size in descending orde... | 084237973f9bd28fce3fa2cf6f231c9d8553da57 | 3,606,111 |
import array
def formatTilePlanar(tile, nPlanes):
"""Convert an 8x8 pixel image to planar tile data, 8 bytes per plane."""
if (tile.size != (8, 8)):
return None
pixels = iter(tile.getdata())
outplanes = [array.array('B')
for i in range(nPlanes)]
for y in range(8):
... | 5ff30470a1392744139a5577f2a51a519f58ab42 | 3,606,112 |
def gen_factory(func, seq):
"""Generator factory returning a generator."""
# do stuff ... immediately when factory gets called
print("build generator & return")
return (func(*args) for args in seq) | 9188f5959ec2feb52b83f20f40474f91f4cbfe08 | 3,606,113 |
from typing import Optional
def get_api_version_set(api_management_name: Optional[str] = None,
name: Optional[str] = None,
resource_group_name: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetApiVersionSetResult:... | d24d5730dbd4f39dc4963616b99186a2287de8d5 | 3,606,114 |
import logging
def retrieve_inventory(vault_name):
"""Initiate an Amazon Glacier inventory-retrieval job
To check the status of the job, call Glacier.Client.describe_job()
To retrieve the output of the job, call Glacier.Client.get_job_output()
:param vault_name: string
:return: Dictionary of inf... | 97c5a6ef67139014004241558e6b07564cfd195a | 3,606,115 |
def _validate_satellite_dates(satellite, start, end):
"""Validate the start and end times for the satellite.
Uses the known operational dates of the satellites to
adjust the start date if needed. It also selects the
Amazon S3 bucket to use.
Returns: a tuple of (start, S3 bucket). If the start
... | 3fe5aaedd35f6bd1e5addf7fc54fb88341993dc0 | 3,606,116 |
def _parseExpectedWords(wordList, defaultSensitivity=80):
"""Parse expected words list.
This function is used internally by other functions and classes within the
`transcribe` module.
Expected words or phrases are usually specified as a list of strings. CMU
Pocket Sphinx allows for additional 'sen... | 83512a86ae112de79bd84e1d9ea3ebebcb4cdefd | 3,606,117 |
import json
def create_json_report(occurrences, filename, report_dir=False):
"""Create a JSON file containing the raw data that can be queried for further analysis."""
if report_dir:
report_filepath = report_dir + '/' + filename + '.json'
else:
report_filepath = ANALYSIS_DIRECTORY_PATH + '... | d958a8f2027cc2a15179fdd218e23e4e451cf342 | 3,606,118 |
def AAPIEnterPedestrian(idPedestrian, originCentroid):
"""Execute command once a pedestrian enters the Aimsun instance."""
return 0 | 7dc133cb3ed7e5dc0adcfb5ee271faa9c94b2418 | 3,606,119 |
def add_bbox_to_image(image, bbox, color='red', width=3):
"""Adds a bounding box to the image.
Args:
image: A PIL image.
bbox: (ymin, ymax, xmin, xmax) box.
color: Color to draw the box with.
Returns:
A PIL image with the bounding box drawn.
"""
output = image.copy(... | fc3a35a3bcf94ac690eef5788c98d1d825410c26 | 3,606,120 |
def registerErrorHandler(f, ctx):
"""Register a Python written function to for error reporting.
The function is called back as f(ctx, error)."""
ret = libxsltmod.xsltRegisterErrorHandler(f, ctx)
return ret | aedeedee6bfaec690574e1cbba9e446053d24d82 | 3,606,121 |
import os
def get_cached_execution_id():
"""Gets the cached execution object.
Returns:
execution: the execution resource name
"""
cache_path = _get_cache_path()
if not os.path.isfile(cache_path):
raise exceptions.Error(_NO_CACHE_MESSAGE)
try:
cached_execution = files.ReadFileContents(cache_p... | fbf79f056af519955c064f5c67670631804c40a3 | 3,606,122 |
import numpy as np
from scipy.io import loadmat
import numpy as np
import h5py
from numpy import fromfile, empty, append
def reading_data(data_file, data_choice):
""" This function is adapted to take in any 3 files of the following types: .bin, .mat or h5. The reader is designed
to read in uint16 cast data. ... | 72b0a7681eda06de8c967b895676de948e9ee064 | 3,606,123 |
def exp_quadratic_action_reward(action, weights=None, gradient=False, hessian=False):
"""Exponential quadratic action reward
:math:`reward = 0.5 exp(\sum_{i}^{dimA} (a_i * w_i)^2)`
Args:
action (np.ndarray):
weights (np.ndarray or float or None):
gradient (bool): Calculate rewa... | 6da236a3512dc48f2795941f8ce77282a577da3a | 3,606,124 |
def split_leading_indent(line, max_indents=None):
"""Split line into leading indent and main."""
indent = ""
while (
(max_indents is None or max_indents > 0)
and line.startswith((openindent, closeindent))
) or line.lstrip() != line:
if max_indents is not None and line.startswith(... | 2bcf803b84d7d2a01929562a2376e94299389dc8 | 3,606,125 |
import six
import os
def get_file_name_list(paths, ending=None):
"""Returns the list of files contained in any sub-folder in the given paths (can be a single path or a list of
paths).
:param paths: paths to the directory (a string or a list of strings)
:param ending: if given, restrict to fil... | c02e81e426937caed9c1d17c5e83147597e54a1a | 3,606,126 |
async def view_available_recipes():
"""
Returns the list of recipes available for the coffee machines
"""
recipes = [i for i in database.get_recipes().find()]
for i in recipes:
del i['_id']
return {"recipes": recipes} | 57ecac022799f1ff00f17bd0b93cce63b10a2a91 | 3,606,127 |
def nanmean(x, axis=0):
"""Compute the mean over the given axis ignoring NaNs.
Parameters
----------
x : ndarray
input array
axis : int
axis along which the mean is computed.
Returns
-------
m : float
the mean.
"""
x, axis = _chk_asarray(x, axis)
x = x.cop... | d024c28224927de7c86737b75179263b25ae2687 | 3,606,128 |
def _handle_doi_url(attrs: Attrs, new: bool = False) -> Attrs:
"""
Screen for reference to a DOI, and generate a URL.
If the :ref:`.DOI` pattern is used, it will generate a link with the
doi as a the target. We need to intercept these links, and generate
a real URL.
"""
href = attrs[(None, ... | d4dfbe800569aa2ec126a063f965f001869b2374 | 3,606,129 |
from scipy.linalg import cho_solve
def regression(objectsA, objectsB, xyarr, P, scale, amp, chol):
""" Perform regression on the gaussian processes for the
the distortion map. This uses the input data to push known
values onto a new grid, using the covariance properties of
the GP."""
# Compute e... | 8026047406736c0327dc308584a0a6caa8c744a5 | 3,606,130 |
def convert_bbox_from_coco(bbox):
"""Convert a bounding box array from the COCO format [x1, y1, w, h] to the
format [x1, y1, x2, y2].
"""
x1, y1 = (bbox[0], bbox[1])
x2, y2 = (x1 + bbox[2], y1 + bbox[3])
return np.array([x1, y1, x2, y2]) | 53405114df8903d4013bcb4a2558b39830c232ef | 3,606,131 |
def make_csd(shape, scale, npart):
"""Create cell size distribution and save it to file.
Log-normal distribution from scipy is used. Creates ``diameters.txt`` file
with sphere diameters.
Args:
shape (float): shape size parameter of log-normal distribution
scale (float): scale size para... | dcf1b8ca969f9028d5a8e61a5c545843ecf8adc2 | 3,606,132 |
def ISNA(cell) -> func_xltypes.Boolean:
"""Returns True if the cell is #N/A.
Don't call validate_args here because we allow errors to be
passed in.
"""
return isinstance(cell, xlerrors.NaExcelError) | 10ce93efdc7243072a09c02e6ff2ecf6d3d7aba8 | 3,606,133 |
from typing import Optional
def get_compartment(id: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetCompartmentResult:
"""
This data source provides details about a specific Compartment resource in Oracle Cloud Infrastructure Identity service.
Gets th... | 6cab80b11c0426acb744dc1e2e2bb8947a38db78 | 3,606,134 |
import logging
def get_tabula_Umean() -> pd.DataFrame:
"""Return building_stock dataframe"""
pth = path_tabula_Umean()
if not pth.exists():
logging.warning(f"file: {pth} not found... start downloading it")
download.download_population()
tab = pd.read_csv(pth, sep="|", index_col=0)
... | 20a7661fad75a87d11eceac6d932459be03906c3 | 3,606,135 |
import requests
def sign_in_to_server(server, username, password, site="", ssl_cert_pem=None):
"""
Signs in to the server specified with the given credentials
'server' specified server address
'username' is the name (not ID) of the user to sign in as.
Note that most of the functions i... | 1e2b68609264f7c27ba8937e1b1f845e37523fb8 | 3,606,136 |
def test_wait_until_true_once_found(mock_time_sleep):
"""wait_until_true max_attempts 1."""
mock = MagicMock()
mock.side_effect = [
'expected value',
'test string 2',
]
def decorate_me(arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
asser... | 76e64fe0ab9d0c0f1b3b704994e5a5fa9933cb5c | 3,606,137 |
def latest(treant):
"""Get the latest data file available based on a sort.
"""
return pipe(
treant.glob('*.nc'),
sorted,
last,
lambda leaf: leaf.abspath,
) | 5abff0b89a3aa7ea269c14f8d590c2057fc50161 | 3,606,138 |
import functools
def admin_required(f):
"""
Decorator to apply to views that require an admin to access.
"""
@login_required
@functools.wraps(f)
def wrapper(request, *args, **kw):
if action_allowed(request, amo.permissions.ADMIN_TOOLS):
return f(request, *args, **kw)
... | 333112eddf1372b7997f20a26a359bdaa175effb | 3,606,139 |
import json
def article(request, article_id):
"""Article page with article with uuid, and list of 3 quotes."""
if request.method == 'POST':
cf = CommentForm(request.POST)
if cf.is_valid():
c = Comment(text=cf.cleaned_data['text'],
article_id=article_id)
... | 5fbb397421dac0b686b25b8c30cdad33d4316332 | 3,606,140 |
def is_upper_diff(text: str) -> bool:
"""Check if some words are all caps while others aren't.
Args:
text (str): Text to parse through and check if some words are capitalized while others aren't
Returns:
bool: True if some words all caps while others aren't, False otherwise
"""
current_word = ""
upper_word... | d50e42795961d9d0a0c409cf9ff61dac5b709151 | 3,606,141 |
import requests
def delete_menu(access_token):
"""
删除菜单 请谨慎使用
http请求方式：GET
https://api.weixin.qq.com/cgi-bin/menu/delete?access_token=ACCESS_TOKEN
:param str access_token: ACCESS_TOKEN
:rtype: json
"""
menu_url = 'https://api.weixin.qq.com/cgi-bin/menu/delete?access_token={ac... | fb52f406d52b2dad2aedfd8c04913a3ca94b6ca1 | 3,606,142 |
def _generate_trades_df_response(trades_df):
"""
Generates JSON response from trades
Attributes
----------
trades_df: DataFrame of Trades
"""
trades_df = trades_df.drop(
columns=["symbol", "trade_id", "stop_loss", "take_profit"]
)
trades_df = trades_df.rename(
colum... | 34244801babedeb75ec21001ea99a9e8aef863e2 | 3,606,143 |
import os
def is_stub(path: str) -> bool:
"""Does path refer to a stubs file?
Currently check if there is a 'stubs' directory component somewhere
in the path.
"""
# TODO more precise check
dirname, basename = os.path.split(path)
if basename == '':
return False
else:
st... | c8cd5fe53609f05843e8af67dbac92bf6592419b | 3,606,144 |
def measurement(qreg=int(0),
creg=int(0)):
"""Generate QASM that takes a measurement from a qubit and stores it in a classical register.
Args:
qreg(int): Number of the Qubit to measure. (default 0)
creg(int): Number of the Classical Register to store the measurement to. (default... | 9a9a24f390bf0745e7cdfe80bb1893f77161c171 | 3,606,145 |
import urllib
def unparse_transport_url(transport, secure=True):
"""
Unparse a transport URL; that is, synthesize a transport URL from
a dictionary similar to that one returned by
parse_transport_url().
:param transport: The dictionary containing the transport URL
components... | dba2e123908e3cf98ce4c1a415ac33b54475bd6b | 3,606,146 |
def get_vplex_port_parameters():
"""This method provide parameter required for the ansible port
module on VPLEX"""
return dict(
cluster_name=dict(required=True, type='str'),
port_name=dict(required=True, type='str'),
enabled=dict(required=False, type='bool'),
state=dict(requi... | 9533cf6ff8eedd943b88c9cd08ea16407aa9ee64 | 3,606,147 |
def projection_error(p1, p, pt, pt1):
"""
Based on Hartley and Zisserman p.285 this function triangulates
image correspondences and computes the reprojection error
by back-projecting the points into the image.
This is the classic cost function (minimization problem) into
the gold standard metho... | 76046d81d270c98cc9f6f68fe36c9c22b257d9c3 | 3,606,148 |
import os
from datetime import datetime
def get_modification_date(filename: str) -> str:
"""Returns modification date of a given file."""
t = os.path.getmtime(filename)
return str(datetime.datetime.fromtimestamp(t))[:19] | b57125984a2d7097d54c38e74ee3e55f3f136a9a | 3,606,149 |
def createMainSizer(parent, granparent, ID, title, pos, size, style):
"""
Function to create control dialogs.
"""
pre = _precreate(granparent, ID, title, pos, size, style)
return _postcreate(parent, pre) | 71ff10b4d4d8cf4b4ed42decf2fee46f2fece9fc | 3,606,150 |
import os
def create_app(config_name):
"""
An flask application factory, as explained here:
http://flask.pocoo.org/docs/patterns/appfactories/
Arguments:
config_name: the key value if the config.config dict,
e.g. 'dev', 'test', 'product', 'default'
"""
app = Flask... | bb83669c98246822c7e820e04a231a8424e8d4a3 | 3,606,151 |
def _arr(*shape):
""" Construct an array of a specified consisting of values [0, _arr.size)
filled in row-major order.
Parameters
----------
*shape : int
Returns
-------
numpy.ndarray"""
return np.arange(np.prod(shape)).reshape(shape) | c364ce0da3ee43b5cdb96cb1600ea98346ca4620 | 3,606,152 |
def fixedtext_features(X, target_keynames, align):
"""
Extract fixed-text features (press-press latency and key-hold duration) from the raw data sample X, given the
target key sequence and keystroke alignment (correspondence) method.
"""
timepress, timerelease = timepressrelease(X, target_keynames, ... | 898a16d348613ba454d7cbed23a7ac9265927110 | 3,606,153 |
def sset_list(args):
""" List sample sets in a workspace """
return __get_entities(args, "sample_set") | 5ba593935829a3350ee804426372e1f299095df1 | 3,606,154 |
import os
def connect_to_mongodb(): # pragma: no cover
# TODO(cmei4444): restructure to be consistent with other services
"""Connects to MongoDB Atlas database.
Returns events collection if connection is successful, and None otherwise.
"""
class Thrower(): # pylint: disable=too-few-public-meth... | 92e687008576b9c3feadfc2a27bbd23051fc80ec | 3,606,155 |
def _GetNodeDiskState(_, node):
"""Converts node's disk state for query result.
"""
disk_state = node.disk_state
if disk_state is None:
return _FS_UNAVAIL
return dict((disk_kind, dict((name, value.ToDict())
for (name, value) in kind_state.items()))
for (disk... | d9efd107b00df05db76f0fcefc1a615ed52fd5ad | 3,606,156 |
def dylan_stretchy_vector_size(vector):
"""Return size of a stretchy vector"""
representation = dylan_slot_element_by_name(vector, 'stretchy-representation')
return dylan_integer_value(dylan_slot_element(representation, SIMPLE_OBJECT_VECTOR_SIZE)) | 3f928c575117480596d3a45747987ec6fa617d85 | 3,606,157 |
def remote_ip(local_ip):
"""
Given an IP address, this function calculates the remaining available
IP address under the assumption that it is a /30 network.
In other words, given one link net address, this function returns the
other link net address.
:type local_ip: string
:param local_ip:... | d784ef13f9625c5f5285193af82ac056b66929b7 | 3,606,158 |
def generate_mixture_indicator(number_obeservations):
"""Generate the variable that will be used for mixture generation
Args:
- number_obeservations : number of obeservations
Returns:
- mixture_indicator: mixture indicator variable
"""
mixture_indicator = np.random.randint(0, 2, (number_o... | 34e65e64ba3dafbc4809fc5cb0a3c2ab10cac81b | 3,606,159 |
def __local_pa(soup):
"""
Gets the most read news from Pará Local News (Rede Liberal)
:param soup: the BeautifulSoup object
:return: a list with the most read news from Rede Liberal page
"""
return __get_local_g1_news(soup) | 5c9b44175ec9321eda290ae403bbbaf732f54a3c | 3,606,160 |
def adjacent(p):
"""Return the positions adjacent to position p"""
return (
(p[0] + 1, p[1], p[2]),
(p[0] - 1, p[1], p[2]),
(p[0], p[1] + 1, p[2]),
(p[0], p[1] - 1, p[2]),
(p[0], p[1], p[2] + 1),
(p[0], p[1], p[2] - 1),
) | 988597e0abd150ae60b556e52a217bd8a136707b | 3,606,161 |
async def goodbye():
""" used in our randomized redirect """
return {"message": "Goodbye"} | 2a0ce1fe99497b55cfd9a9853cd75a0c7eddac40 | 3,606,162 |
def to_stereo(waveform):
""" Convert a waveform to stereo by duplicating if mono,
or truncating if too many channels.
:param waveform: a (N, d) numpy array.
:returns: A stereo waveform as a (N, 1) numpy array.
"""
if waveform.shape[1] == 1:
return np.repeat(waveform, 2, axis=-1)
if ... | 03478d970e7be1d4eb24201deeb3e5c330ab00af | 3,606,163 |
def metrics_from_stats(stats):
"""Compute metrics to report to hyperparameter tuner."""
labels, probs = stats['labels'], stats['probs']
# Reshape binary predictions to 2-class.
if len(probs.shape) == 1:
probs = np.stack([1-probs, probs], axis=-1)
assert len(probs.shape) == 2
predictions = np.argmax(pro... | 932116c02f54bee9ff2ee953cb91d19b20de5fc7 | 3,606,164 |
def prepare_ocp(
biorbd_model: biorbd.Model,
final_time: float,
n_shooting: int,
use_sx: bool,
weights: np.ndarray,
use_excitations=False,
use_collocation=False,
) -> OptimalControlProgram:
"""
Prepare the ocp
Parameters
----------
biorbd_model: str
The path to t... | 8bda9f58789dc5f2ce6a286b7cef0ac3f2f9d2d9 | 3,606,165 |
def update_pubmed(pub_uri, doi=None, pmid=None, inVivo=True):
"""
Given the uri of a pub in VIVO and a module concept dictionary,
update the PubMed attributes for the paper, and include RDF
to add to the concept dictionary if necessary
"""
ardf = ""
srdf = ""
if inVivo:
# Get the pa... | 1eda48fbb5d561f9a53e6b18732153180c58a087 | 3,606,166 |
def ldns_resolver_set_tsig_keydata(*args):
"""LDNS buffer."""
return _ldns.ldns_resolver_set_tsig_keydata(*args) | 72519065a9a1e33584b05eb063f406f4c048e0e3 | 3,606,167 |
def make_table(*list_of_list):
"""
:param list_of_list: list of list of strings
:returns: a valid rst table
"""
lcols = [len(x) for x in list_of_list[0]]
for li in list_of_list : # compute the max length of the columns
lcols = [ max(len(x), y) for x,y in zip(li, lcols)]
form = '| ' ... | 77153451571e70a77d6bd525bd252aa7efe1c693 | 3,606,168 |
import re
def replace_special_whitespace_chars(text: str) -> str:
"""It's annoying to deal with nonbreaking whitespace chars like u'xa0'
or other whitespace chars. Let's replace all of them with the standard
char before doing any other processing."""
text = re.sub(r"\s", " ", text)
return text | 17be082a827039264cd75fb7459fc31eb7f617dd | 3,606,169 |
def _extract_missing(values):
"""Extract missing values from `values`.
Parameters
----------
values: set
Set of values to extract missing from.
Returns
-------
output: set
Set with missing values extracted.
missing_values: MissingValues
Object with missing valu... | ad3661fa7e77a37792f864fc1acf404c23abca4d | 3,606,170 |
import re
def processSets(results):
"""Process set results to be displayed in the set selection window
:param List[Dict[str, Union[int, str, Dict[str, str]]]] results: A list of raw set results
:return: A list of processed results in table form
:rtype: List[Union[str, int]]
"""
rows = []
... | bf050015474691402d2d992070c487b45cc34a42 | 3,606,171 |
def min(a):
"""
Returns the minimum value of an array
"""
try:
return _onp.min(a)
except TypeError:
return _cas.mmin(a) | 9cadece2ff36ab06b2a3b11bf954aa45c4d3c874 | 3,606,172 |
def tf_fidelity(A, B):
"""Calculates the fidelity between tensors A and B.
Args:
A, B (tf.Tensor): List of tensors (hilbert_size, hilbert_size).
Returns:
float: Fidelity between A and B
"""
sqrtmA = tf.matrix_square_root(A)
temp = tf.matmul(sqrtmA, B)
temp2 = tf.matmul(temp... | 02cabadfde5fec73614d39c58fb77c49837b07eb | 3,606,173 |
def test(dir: str, endpoint: str):
"""Pipeline of validation the test using the files present in dir"""
dataset_id = load_dataset(dir, endpoint)
events = get_events_of_interest(dir, endpoint, dataset_id)
clean_server(endpoint, dataset_id)
return evaluate(events, dir) | dfd2942da1460136c5b6814009c787e2da45aa63 | 3,606,174 |
def 查找文件或目录(名称, 路径=None, 精确=False):
"""
# list(查找文件或目录('ping', exact=True))
# list(查找文件或目录('bin'))
# list(查找文件或目录('bin'))
# list(查找文件或目录('*cc*'))
# list(查找文件或目录('cmake*'))
"""
return ub.find_path(名称, 路径, 精确) | 5e14e7950e8107e280924538614243cb2735d11a | 3,606,175 |
def get_aliases(record):
"""
Get all aliases associated with this DID / GUID
"""
# error handling done in driver
aliases = blueprint.index_driver.get_aliases_for_did(record)
aliases_payload = {"aliases": [{"value": alias} for alias in aliases]}
return flask.jsonify(aliases_payload), 200 | e0643198a3b34afc69e758b651f35b7e46225dc3 | 3,606,176 |
def _create_internal_transaction_type(row) -> TransactionType:
"""Create a suitable transaction type according to the given row."""
return TransactionType.from_row(row, is_internal=True) | eb6453a9c5a2ccbcce157b66456132255a43c676 | 3,606,177 |
import glob
import os
def identify_project_name(directory="."):
"""
Identify the project name by identifying the project file
"""
project_files = glob.glob(os.path.join(directory, "*.pro"))
if len(project_files) == 1:
return project_files[0].rpartition(".")[0] # Just the prefix without ".p... | 35bce15397ddccef546220b42656889e2b398b1b | 3,606,178 |
from typing import Optional
from typing import Dict
async def incoming(
message,
chain_name=None,
tx_hash=None,
height=None,
seen_ids: Optional[Dict]=None,
check_message=False,
retrying=False,
bulk_operation=False,
):
"""New incoming message from underlying chain.
For regular ... | b4fa7e9d85c13ab211071d965cb29361ed2b0cf3 | 3,606,179 |
def handle_update_lessons(lesson_id):
"""Handle updating an existing lesson log"""
updateform = UpdateLesson()
form = NewLesson()
if updateform.validate_on_submit():
lesson_id = updateform.lesson_id.data
lesson_time = updateform.lesson_time.data
updateform.lesson_time.data = ''
... | 9e948c6d1cc9998b3ba9db5b4f6c971ad0c77f07 | 3,606,180 |
import json
def read_transcripts(src_bucket, guid):
"""Get the transcripts JSON file from the S3 bucket.
Args:
src_bucket (str): A string containing the S3 source bucket.
guid (str): A string containing the unique ID.
Returns:
spoken_text (str): A string with the text the custome... | 61430b62d78ccefad578bdc27004d55622988572 | 3,606,181 |
def preprocess():
"""
数据准备阶段
:return:
"""
# 1. 加载数据文件
x_text, y = load_data_and_labels(FLAGS.positive_data_file, FLAGS.negative_data_file)
# 文本进行向量化
sentences, max_document_length = padding_sentences(x_text, '<PAD>')
x = np.array(embedding_sentences(sentences, FLAGS.word2vec_fname... | c39adc82e6ce1e3bd4d70638246ce77e1dac9134 | 3,606,182 |
def umfpack_dl_triplet_to_col(*args):
"""
umfpack_dl_triplet_to_col(SuiteSparse_long n_row, SuiteSparse_long n_col, SuiteSparse_long nz, SuiteSparse_long const [] Ti,
SuiteSparse_long const [] Tj, double const [] Tx, SuiteSparse_long [] Ap,
SuiteSparse_long [] Ai, double [] Ax, SuiteSparse_long ... | 7d1f910c581e23843020dce8621577aa9117a6b2 | 3,606,183 |
def two_sequences_in_parallel(sequence1, sequence2):
"""
Demonstrates iterating (looping) through TWO sequences in PARALLEL.
This particular example assumes that the two sequences are of equal
length and returns the number of items in sequence2 that are bigger
than their corresponding item in sequ... | c5dbce5f99d5c2efeee4048ec1451ea63f404fef | 3,606,184 |
def find_middle(arr: list) -> int:
"""
checks if the size of the list is odd, and will be sorted by the order_int_list()
function, and return the median number
Args:
arr (list): if the size of the list is even, will return an raise ValueError
Returns:
int: the median number of the ... | edab12bfcb9ff77249a51137fc5a8bb0778c5ac8 | 3,606,185 |
def GetHostTuple():
"""Returns compiler tuple for the host system."""
return portage.settings['CHOST'] | 8a741c6cae7b1e8faec774b5e7fa57f5a6258747 | 3,606,186 |
def str_to_tag(in_str: str) -> BaseTag:
"""Convert string representation to pydicom Tag
The string can be a keyword, or two numbers separated by a comma
"""
if in_str[0].isupper():
res = tag_for_keyword(in_str)
if res is None:
raise ValueError("Invalid element ID: %s" % in_s... | 54f58de4f3769b31f7419964f83ed1e35cefcd49 | 3,606,187 |
def plot_out_csv(data):
"""Uncomment everything you want to have on a plot
"""
columns = ['time',
'cwnd1',
'cwnd2',
'cwnd3',
'rtt1',
'rtt2',
'rtt3',
'bytes1',
'bytes2',
'byt... | 26ae9e475440fb651bbc759294ca4681606e337b | 3,606,188 |
def meta_seq_number(num):
"""
Creates a sequence number meta message.
Parameters
----------
num : byte
The sequence number
"""
msb = num & (0x7F << 7)
lsb = num & 0x7f
return [kMetaMsg, kSeqNumber, 2, msb, lsb] | f428479ffdcc6f552f36d03b317538230c80c3e1 | 3,606,189 |
import yaml
def get_all_comments():
"""
すべての項目名と項目名コメント取得する
Returns
-------
comments_list : dict
{項目名: [項目名コメント, ...], ...}
"""
with open(COMMENTS_YAML, "r") as f:
comments_yaml = yaml.safe_load(f)
tables = comments_yaml["comments"]
comments_list = {}
... | 44dcfb524bdeb4a32204c5ef6a2b33f449f3b747 | 3,606,190 |
def vime_semi(x_train, y_train, x_unlab, x_test, parameters,
p_m, K, beta, file_name):
"""Semi-supervied learning part in VIME.
Args:
- x_train, y_train: training dataset
- x_unlab: unlabeled dataset
- x_test: testing features
- parameters: network parameters (hidden_dim, batch_siz... | 9e57f4c99f8c2c2dc27d118207f6ff3efdad8490 | 3,606,191 |
def no_aug_generator(data, target, batch_size=32, gradient=False):
"""Custom image generator that manipulates image/target pairs to prevent
overfitting in the Convolutional Neural Network.
Parameters
----------
data : array
Input images.
target : array
Target images.
batch_si... | 984ce538d0a660fc34c20cca81d741ed2a38c34d | 3,606,192 |
def image_crop(src, x1, y1, x2, y2):
"""
Crop image from (x1, y1) to (x2, y2).
Parameters
----------
:param src: Input image in BGR format
:param x1: Initial coordinates for image cropping
:param y1: Initial coordinates for image cropping
:param x2: End coordinates of image cropping
... | 6ab70dc644d0d7054ea70fadcf7ec0ca381918d8 | 3,606,193 |
def gm_variance(W, A, s):
"""
Calculate the maximum variance for a single query in workload W.
Parameters
----------
s is the privacy cost
"""
m, n = A.shape
mI = np.eye(m)
# pseudoinverse of matrix A
pA = np.linalg.inv(A)
sigma = np.sqrt(1/s)
Var = W @ pA
BXB = Var ... | d1d1dc12ae402b2e6f307d717bf367e8df03ec95 | 3,606,194 |
from typing import NamedTuple
import pydantic
def settings_env_names(
settings_class: CommonSettings = CommonSettings,
) -> NamedTuple:
"""
returns the current environment variable names for the settings class and
value
"""
try:
_ = SettingsClassName.validate(settings_class)
except... | c84f0fd067728288c4253f546d391ae838bf9590 | 3,606,195 |
import array
def parse_siemens_b_matrix(value: bytes) -> np.ndarray:
"""
Parses the Siemens B matrix header field value.
Parameters
----------
value : bytes
Raw B matrix header field value
Returns
-------
np.ndarray
Parsed B matrix
"""
raw = list(array.array("... | 462df1b3dd78e37365a1d515e931dde47471c86a | 3,606,196 |
from typing import Union
import asyncio
def maybe_defer(inter: disnake.Interaction, *, delay: Union[float, int] = 2.0, **options) -> asyncio.Task:
"""Defer an interaction if it has not been responded to after ``delay`` seconds."""
loop = inter.bot.loop
if delay <= 0:
return loop.create_task(inter.... | e64d2fded53559de7344e77a3d42f421a4c481ba | 3,606,197 |
def block1(x,
filters,
bottleneck=False,
stride=1,
expansion=1,
normalization='bn',
activation='relu',
name=None):
"""A basic residual block.
Args:
x: input tensor.
filters: integer, filters of the bottleneck layer.
bottleneck... | ef3bb272fc66f1108f6ecf7f2408fd1418b76b0a | 3,606,198 |
def build_dense_decoder_model(
*, original_dim, latent_dim, dense_dims, activation="relu", verbose=False, **kwargs
):
"""
Builds dense decoder network for 1-d xrd data
Parameters
----------
original_dim: int
original dimensionality of xrd data (i.e. the length of any one sample)
lat... | cfb492765449d4021531f84443b0897dada0b89b | 3,606,199 |
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