content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
from pathlib import Path
def generate_filename(candidate: Path) -> Path:
"""Generate a filename which doesn't exist on the disk. This is not atomic."""
orig = candidate
i = 0
while candidate.exists():
stem = orig.stem
candidate = orig.with_stem(f"{stem}-{i}")
i += 1
return... | 4a304b30aac5091e8a3f59db3d7d293b272b92ef | 70,600 |
import io
def build_report(
*tables_desc: TableDesc,
width: int,
height: int,
) -> bytes:
""" Сформировать отчет
:param tables_desc: Описания таблиц для отчета
:param width: Ширина листа
:param height: Высота листа
"""
with io.BytesIO() as buffer:
doc = Simp... | 18c584995d4bec27ed0a64dc0afd4ad774d2ca11 | 70,601 |
def _IsMPKeyName(name):
"""Returns True if the key name looks like MP (not pre-MP).
An MP key name does not contain the strings "_premp" or "_premp", and
ends in something like "_mp" or "_mp_v2" or "_mpv2".
"""
return (_MP_KEY_NAME_PATTERN.search(name) and
not _PRE_MP_KEY_NAME_PATTERN.search(name)) | 24024cd1a3da57f0321f643f0b62e6e5427167bc | 70,602 |
def getPlaylists(sg):
"""
Returns all playlists based on the show specified in the configuration file(s).
Args:
param1 (shotgun_api3.Shotgun): Shotgun DB Object.
Returns:
list: List of dictionaries with Shotgun entity information.
"""
sgPlaylists = sg.find(
"Playlist",... | cec358f95dc9353a6636dd3adcea2c064626e069 | 70,603 |
def load_data(filename: str):
"""
Load Agoda booking cancellation dataset
Parameters
----------
filename: str
Path to house prices dataset
Returns
-------
Design matrix and response vector in either of the following formats:
1) Single dataframe with last column representing ... | 3ab8e167df2305017fa3a6690f8b620020d75071 | 70,604 |
from typing import Optional
def code_block(text: str, language: Optional[str]) -> str:
"""Formats text for discord message as code block"""
return f"```{language or ''}\n" f"{text}" f"```" | c54d5b3e6f456745817efd03b89bd56d7fe4794e | 70,605 |
def get_current_gw():
"""
Returns the current gameweek
"""
return BOOTSTRAP_STATIC['current-event'] | e4965f3155e4d36a2085b76a1bbf09c355a0b226 | 70,606 |
import sqlite3
def version(database):
""" """
conn = bou.backing.open(database)
try:
with conn:
curr = conn.cursor()
smt = curr.execute("""
SELECT migration
FROM _bou
ORDER BY id
LIMIT 1
""")
... | dada19f0f33f87a320db189faaca9f0a13d0fc55 | 70,607 |
import os
def get_last_bounce(data_file_name):
"""
Find the index of the last bounce and return it.
"""
if not os.path.exists(data_file_name):
return None
with open(data_file_name, 'r') as data_file:
lines = data_file.readlines()
if len(lines) == 0:
return None
... | d7a18e4581220f720e160e44896a76e77351e9c0 | 70,608 |
def _parse_hparams(hparams):
"""Split hparams, based on key prefixes.
Args:
hparams: hyperparameters
Returns:
Tuple of hparams for respectably: agent, optimizer, runner, replay_buffer.
"""
prefixes = ["agent_", "optimizer_", "runner_", "replay_buffer_"]
ret = []
for prefix in prefixes:
ret_... | 22a2331b5772f00514ca1ddbb44f6e94e3782d76 | 70,609 |
from typing import Any
def tvt_by_nors(
ccagt: CCAgT,
categories_infos: CategoriesInfos,
tvt_size: tuple[float, float, float] = (.7, .15, .15),
**kwargs: Any
) -> tuple[set[int], set[int], set[int]]:
"""This will split the CCAgT annotations based on the number of NORs
into each image. With a s... | 213c201c60b3186dd59fbb8e6576bcabffe64de0 | 70,610 |
from typing import Iterable
def get_event_log_records(
instance: DagsterInstance,
last_storage_id: int,
record_filter_limit: int
) -> Iterable[EventLogRecord]:
"""Returns a list of Dagster event log records in ascending order
from the instance's event log storage.
:param instance: ... | cf2ecc1284427fb5c7cb58ec9e26d30c303cd815 | 70,611 |
import requests
import time
def get_encryption_data():
"""Dynamically obtain the Auth token public key and encryption algorithm.
This function will make an API call to the auth server upon service start up
when the environment variable ``PRODUCTION`` is set to ``true`` or ``beta``.
The value of ``bet... | 3cfd512657984d68e0ebae140d2bc1daddf09e98 | 70,612 |
def skia_select(conditions, results):
"""Replaces select() for conditions [UNIX, ANDROID, IOS]
Args:
conditions: [CONDITION_UNIX, CONDITION_ANDROID, CONDITION_IOS]
results: [RESULT_UNIX, RESULT_ANDROID, RESULT_IOS]
Returns:
The result matching the platform condition.
"""
if len(conditions) != 3 o... | 3304fd1c55dffbeb42a1a418040813ff2534b8f4 | 70,613 |
def date_search(date: str) -> list:
"""
Для поиска по дате в поле published_item таблицы rss_tab.
Добавляет данные в log_tab, при поиске.
:param date: подстрока, вхождение которой в published_item необходимо найти.
:return: список словарей с результатами поиска из rss_tab.
"""
try:
... | 6c9cb097b8b8220b559a734264a0afd112d4042c | 70,614 |
from datetime import datetime
import json
def api(request):
"""
Handle the follow params:
?search=Something+yadda
&start=2009-01-01-2014-12-30&end=2014-12-30
&point=-33.4246,151.3441,
&distance=100
Code mostly written by Lyndon D'arcy
(imported from https://github.com/logworthy/... | 0f860a7432d54a48c8adabb90737dcfa1d0278c6 | 70,615 |
from typing import Union
def _flight_intersects(
flight: Flight, shape: Union[ShapelyMixin, base.BaseGeometry]
) -> bool:
"""Returns True if the trajectory is inside the given shape.
- If an Airspace is passed, the 3D trajectory is compared to each layers
constituting the airspace, with correspondi... | 041644b9bb92d32943071cd7c51f545d44cfe271 | 70,616 |
import psutil
def check_cpu_constrained():
""""Return True if the cpu is having too much usage, False otherwise."""
return psutil.cpu_percent(1) > 80 | b5af66c73b9c85b9824b15bffc3915e69efa07d2 | 70,617 |
def np_inverse_softmax(x):
"""Invert a softmax operation over the last axis of a np.ndarray."""
return np.log(x / x[Ellipsis, :1]) | 124297e509f7d9b836b7c618335bde951cbc9087 | 70,618 |
import os
def get_labels_for_images(image_dir: str, y_fpath: str, delimiter=","):
"""
Get labels for images stored in image_dir
Parameters:
image_dir: Filepath to directory with images
y_fpath: Filepath to csv file with labels
delimiter: Delimiter used in csv file
Returns:
... | e8f64030997fe7050ff91c6c7b86439bb3a87126 | 70,619 |
def Fredkin_check(function):
"""Decorator to check the arguments of calling Fredkin gate.
Arguments:
function {} -- The tested function
"""
def wrapper(self, control_qubit):
"""Method to initialize Fredkin gate.
Arguments:
control_qubit {Qubit} -- Possible valu... | 7b62bc1998baffcffa896a6a549c3044ebbc9abd | 70,620 |
import os
def combine_hypercubes(input_paths, output_dir, output_filename=None, do_compress=True):
"""
combine list of hypercubes into one file, for example when you created many h5 file in parallel with one subband per file.
:param [str] input_paths: paths of the hdf5 files you want to read and combine
... | 676cbfa0d347cb94275ad6aab9a5a4a7abc2220a | 70,621 |
def current_scopes():
"""
init security setting
:return: pending
"""
return [] | 2aa8500f0c1487723d74d975cf9e50f92904e1de | 70,622 |
def training_decoding_layer(dec_embed_input, target_length, dec_cell, initial_state,
output_layer, vocab_size, max_target_length):
"""Create the training logits"""
training_helper = tf.contrib.seq2seq.TrainingHelper(inputs=dec_embed_input,
... | 60bcf80d8f9b8a540c23ae7fb474de240fc8e708 | 70,623 |
def subtend(x1, y1, x2, y2):
"""ANGLE SUBTENDED BY TWO VECTORS (wrt THE ORIGIN)"""
# v1 (dot) v2 = |v1| |v2| cos(theta)
# d = r1 r2 cos(theta)
d = dot([x1, y1], [x2, y2])
r1 = hypot(x1, y1)
r2 = hypot(x2, y2)
costheta = d / (r1 * r2)
theta = arccos(costheta)
return theta | bfe8993c836c94cccc2cd98f85693cb1a53496ee | 70,624 |
def GetWifiInterface():
"""Gets the first Wi-Fi interface name.
Returns:
interface: str, the first Wi-Fi interface name (e.g. en0) or None if no
interface exists.
"""
interfaces = systemconfig.GetNetworkInterfaces()
for interface in interfaces:
if interface['type'] == 'IEEE80211':
return ... | a99b13ee7ea047d3461035fdda9d0f7b2f201d09 | 70,625 |
from typing import List
def _load_images(img_list: List) -> np.ndarray:
"""
This private function loads the numpy array image files
that are passed within input parameter and append them into a list
:param img_list: List, Contains absolute paths to image.npy files
:return: N-dimensional array, Loa... | eb47d06e29f3dbc22dcebd1cc636fc3e95c222bf | 70,626 |
import csv
def load_farm_attributes(crop_type):
""" Loads the attributes for specified crop to be used in the farm vector
attribute table """
with open(farm_attribute_table_path(crop_type), 'r') as f:
reader = csv.DictReader(f)
return list(reader) | e9df8c50c4198a417dd5cd0cde0dd69e2f195c91 | 70,627 |
def softmax_layer(avg_per_word, U, b, y_mask, maxw, training=False):
"""
Produces the final labels via softmax
:param avg_per_word: Output from word-averaging
:param U: Classification weight matrix
:param b: Classification bias layer
:param y_mask: Because not all fragments are the same length, ... | d54c6bad48580095671747e18d4e694ae34bde7b | 70,628 |
from typing import Dict
from typing import Any
from typing import List
def github_installation(
options: Dict[str, Any],
env: sphinx.environment.BuildEnvironment,
) -> List[str]:
"""
Source to provide instructions for installing from GitHub.
:param options: Mapping of option names to values.
:param env: Th... | e1d8d80cf0e84479e77e5e2093705e9b639b8e48 | 70,629 |
def attention_bias_local(length, max_backward, max_forward):
"""Create an bias tensor to be added to attention logits.
A position may attend to positions at most max_distance from it,
forward and backwards.
This does not actually save any computation.
Args:
length: int
max_backwar... | 7548dc0d6ecdaa9dfcba66845d203c7fa1e088ed | 70,630 |
def demo_regression_report():
"""Make a demo regression report."""
x = np.linspace(0, np.pi * 4, 1001)
truth = np.stack([np.sin(x), np.cos(x)], axis=-1)
label = np.random.binomial(1, .2, size=x.shape)
predict = np.stack([
truth[:, 0] + (
(1 - label) * np.random.normal(0., scale=.... | 895dd769ab44025fdd71a01bb87011e4a142dec0 | 70,631 |
import os
def get_endpoints_credentials():
"""
Gets the oauth2 credentials from the user authenticated to Google Cloud Endpoints.
Presently, this does not work for Android and iOS clients. We are open to patches to fix it.
"""
user = endpoints.get_current_user()
if not user:
return Fa... | fc8c6abe94757bf03f8f0da40f5f16639673c712 | 70,632 |
from re import T
import scipy
def model2geogcoords(
xg: dict[str, T.Any],
parm: xarray.DataArray,
lalt: int,
llon: int,
llat: int,
altlims: tuple[float, float] = None,
glonlims: tuple[float, float] = None,
glatlims: tuple[float, float] = None,
):
"""
Grid the scalar GEMINI outp... | af4feeb974671a761e3a979bb45d6ad097d03755 | 70,633 |
import re
from typing import Counter
def tokenizeLyrics(genius,artist_name,track_name):
"""
Tokenize Lyrics of song
Arguments:
genius:
artist_name:
track_name:
Return:
line_split_lyrics:
word_frequency
"""
#Initialize tokenizer
tknzr = nltk.Twee... | 365a7e522b9d2fece6081ea01513f13e941c23f2 | 70,634 |
def api_asset_get():
"""Get assets with specified names from the bank"""
names = request.args.getlist("name")
result = []
for name in names:
asset = app.bank.get(name)
if asset:
result.append(asset)
return jsonify(sorted(result)), 200 | 83aff57d194f877967caa962b5e6abe8580e4f67 | 70,635 |
import itertools
import scipy
import numpy
def cluster(point_list, std, chance_correct):
"""
Given a list of points (x,y), the standard deviation of the point position measurements,
and the chance that the point is correctly identified as part of the group,
this returns the expectation point of where ... | f440c96578a6b0b4aa219e60604046818568896c | 70,636 |
def upsample_ps(x, r=(1, 1)):
"""
Performs phase shift upsampling for width and height
Args:
x: Tensor to upsample
r: A tuple of upsample factors(height and width) (Default value = (1)
Returns:
Tensor with height of original_height*r[0] and width original_width*r[1]
"""
x = _p... | cabd3c4f76d2f099d71b08502854d362e91972f5 | 70,637 |
def _AddMergeFromStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def MergeFromString(self, serialized):
length = len(serialized)
try:
if self._InternalParse(serialized, 0, length) != length:
raise message_mod.DecodeError('Unexpected end-group tag.')
except (... | 777201a242f0a9dfca8b7234546926dd8b8a6188 | 70,638 |
import re
def return_words_and_sentences(results):
"""Parse xml into word and sentence 'tier' data
Args:
results([TODO type]): [TODO description]
Returns:
[TODO type]: [TODO description]
"""
result_id_pattern = re.compile(
r"""
t(?P<table>\d*) # Table
... | efb8c5f7d49806a519806bebfd2998e7d4a2992f | 70,639 |
def check_ratio_sum(ratio):
"""
Check the given ratio is valid or not. Sum of ratio should be 100
"""
train_ratio = int(ratio[0])
val_ratio = int(ratio[1])
test_ratio = int(ratio[2])
qa_ratio = int(ratio[3])
total = train_ratio + test_ratio + val_ratio + qa_ratio
if total != 100:
raise ValueError("Sum of al... | 34ce3c7c9e0edecbdaa54e44ed39060df150c8dd | 70,640 |
def check_box(
iou, difficult, crowd, order, matched_ind, iou_threshold, mpolicy="greedy"
):
"""Check box for tp/fp/ignore.
Arguments:
iou (np.array): iou between predicted box and gt boxes.
difficult (np.array): difficult of gt boxes.
order (np.array): sorted order of iou's.
... | 581aac0b3541535c6cd91243ab99a842d0183f8b | 70,641 |
def check_mnist_cifar_dataset(method):
"""A wrapper that wrap a parameter checker to the original Dataset(ManifestDataset, Cifar10/100Dataset)."""
@wraps(method)
def new_method(*args, **kwargs):
param_dict = make_param_dict(method, args, kwargs)
nreq_param_int = ['num_samples', 'num_parall... | 932014d6a6e6046a4862d6c02b06414ab9ee4856 | 70,642 |
def parent_technique_of(thesrc):
"""return subtechnique_id => {technique, relationship} describing the parent technique of the subtechnique"""
return get_related(thesrc, "attack-pattern", "subtechnique-of", "attack-pattern")[0] | f91c65ad8769b3adc157a7c783f15c6f49b0e465 | 70,643 |
def index():
"""
主页
:return:
"""
return render_template('index.html', remote_address=request.remote_addr) | 62105d3b1373ff159655ae8e390081f65924b848 | 70,644 |
from typing import List
def get_mol_props_for_map(mols: List[Chem.Mol]):
"""Return the heavy atom count, carbon fraction, ring atom fraction and largest ring size."""
hac = []
c_frac = []
ring_atom_frac = []
largest_ring_size = []
for mol in mols:
atoms = mol.GetAtoms()
size =... | 0b5dbbe1e0ec17edc7c28cced3f196c5a38e6023 | 70,645 |
def get_chat_messages(chat_slug) -> QuerySet:
""" get chat messages """
return Chat.objects.get(slug=chat_slug).message.filter() | ca80795bcbb99f6cb68dd3531d86d07927295f9e | 70,646 |
def mock_qnode(mock_device):
"""Simple PassthruQNode with default properties."""
def circuit(x):
qml.RX(x, wires=0)
return qml.expval(qml.PauliZ(0))
node = PassthruQNode(circuit, mock_device)
return node | 97e1e4bbf3b879e80777d185ed219c54b11bb4cd | 70,647 |
def removePEOversampling(src, axes=(-2, -1), dicom_offset=DICOM_OFFSET):
"""
Remove phase encoding (PE) oversampling.
This is implemented such that they match with the DICOM knee images.
:param src: input image (np.array)
:param axes: tuple of axes containing the [nFE, nPE] dimension.
:param... | b94cb7d7beba58e15ef275b18da2567e32cdc599 | 70,648 |
def is_rlp_structured_access_list(val):
"""Returns true if 'val' is a valid rlp-structured access list."""
if not is_list_like(val):
return False
for item in val:
if not is_list_like(item):
return False
if len(item) != 2:
return False
address, storage_... | b21d3d45277a2a015f3a7b86fb767c3b7e7593a7 | 70,649 |
import ctypes
def eul2m(
angle3: float, angle2: float, angle1: float, axis3: int, axis2: int, axis1: int
) -> ndarray:
"""
Construct a rotation matrix from a set of Euler angles.
https://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/eul2m_c.html
:param angle3: Rotation angle about third rotat... | 78529692795b617b392a6552f0db71c8e5ca155d | 70,650 |
import os
def make_dataset(imgs_dir, annos_dir, pkl_path, imgs_set_path, labels="voc", show_dataset=False):
"""
:param imgs_dir: str
:param annos_dir: str
:param pkl_path: str
:param imgs_set_path: str
:param labels: str["coco", "voc"] or list[str] or Dict[str: int] 可多对一
:param show_datas... | d4ad0316ab763b5110462d4f573713196af92fca | 70,651 |
from datetime import datetime
def create_upcoming_test_datetime() -> datetime:
""" Based on 2025-01-01 00:00:00 """
return datetime(2024, 1, 1, 0, 0, 0, 0) | 9a6bc020fd44e0e59441a83b75d2e7fb7630d386 | 70,652 |
def urlsplit(url):
""" Splits a URL like "https://example.com/a/b?c=d&e#f" into a tuple:
("https", ["example", "com"], ["a", "b"], ["c=d", "e"], "f")
A trailing slash will result in a correspondingly empty final path component.
"""
split_on_anchor = url.split("#", 1)
split_on_query = split_o... | 47cd2b556f842dd3ed499f841ff41d16c0747cbc | 70,653 |
from typing import Any
def validator(message: ErrorMessage):
"""
Turn a bare checker function into a descriptive validator function
"""
def decor(fun: CheckerFunction) -> ValidatorFunction:
def inner(value: Any) -> ValidatorReturn:
ok = fun(value)
if not ok:
... | d13ddf5f691850e22633a7d8d011f70153826772 | 70,654 |
def separate(df, key, into, splitter=default_splitter):
"""Given a data frame, separates one of its columns, the key,
into new variables.
"""
assert type(df) is pd.DataFrame
assert key in df.columns
# Hint: http://stackoverflow.com/questions/16236684/apply-pandas-function-to-column-to-creat... | dff62cda31086dcdf0aa8f5aa4ffb28e0fed01f4 | 70,655 |
def build_old_belief(
belief_type,
num_agents=NUM_AGENTS,
*,
low_pole=LOW_POLE,
high_pole=HIGH_POLE,
step=BELIEF_STEP,
consensus_value=CONSENSUS_VALUE):
"""Builds the initial belief state according to the `belief_type`.
Helper function when iterating over... | 6ef5222c536acc5c9cf4496e697dd9520388c8a4 | 70,656 |
def create_markup(s, modifiers=None, targets=None, span=None, prune_inactive=True):
"""Creates a markup object from a sentence.
s is a sentence from a list of a split report.
span is the tuple of the span of the sentence. Optional.
Returns a named tuple where markup=markup, span=span
"""
markup ... | c454010cfe272f35e11e111c29027bdc28d09c35 | 70,657 |
def sub_timedelta(date, delta, units='hours since 1800-01-01 00:00',
calendar='standard'):
"""
Wrapper method to subtract a timedelta to a netcdftime.datetime
or datetime.datetime or pd.Timestap object
Parameters
----------
date : scalar_like
Date to subtract <delt... | d309f58a1bf309ab11a7fd8bef1e5ba1b3cb6ac2 | 70,658 |
from typing import Optional
from typing import Mapping
from typing import Any
def _process_environ(environ: Optional[Mapping[str, Any]] = None,
ext_environ: Optional[Mapping[str, Any]] = None,
enable_ext: bool = False) -> Mapping[str, str]:
"""
process environment var... | 7ded58157f59fdb63ced8d680fd9cb1c5041416c | 70,659 |
def rotate_key(element):
"""Returns a new key-value pair of the same size but with a different key."""
(key, value) = element
return key[-1] + key[:-1], value | e9407e87a24571bb17e484d7954764dce38003dc | 70,660 |
def labels_to_tags(labels):
"""Converts integer labels to component type labels.
Input: array of integer labels
Output: arry of string tags
"""
tag_dict = {v:k for k, v in config['arg_components'].items()}
tag_dict[len(tag_dict)] = 'pad'
return [tag_dict[i] for i in labels] | d7a6fcf6d77699d4f4ef4d748838ad487431d979 | 70,661 |
import math
def hypotenuse_length(leg_a, leg_b):
"""Find the length of a right triangle's hypotenuse
:param leg_a: length of one leg of triangle
:param leg_b: length of other leg of triangle
:return: length of hypotenuse
>>> hypotenuse_length(3, 4)
5
"""
return math.sqrt(leg_a**2... | 7a59ede73301f86a8b6ea1ad28490b151ffaa08b | 70,662 |
def build_add_trunk_vlan(interface, vlan, action):
"""Build BGP config using Jinja2"""
with open(build_vlan_to_trunk) as trunk_file:
build_vlan_trunk_template = Template(trunk_file.read(), keep_trailing_newline=True, trim_blocks=True, lstrip_blocks=True)
vlan_trunk_config_j2 = build_vlan_trunk_... | ff611bb055e0852e483ff3c7e330a8e27b50c8b4 | 70,663 |
def getParent(obj):
"""
Returns the container the object was traversed via.
See `ITraversalAPI` for details.
"""
try:
location_info = ILocationInfo(obj)
except TypeError:
pass
else:
return location_info.getParent()
# XXX Keep the old implementation as the fallba... | b05f9158fc60e440f86edf25cf8b06b91190d887 | 70,664 |
def minimize_ucq_in_dnf(query):
"""Convert UCQ to DNF form
and minimise.
Parameters
----------
query : LogicExpression.
query in UCQ semantics.
Returns
-------
LogicExpression
minimised query in UCQ semantics.
"""
query = convert_to_dnf_ucq(query)
head_varia... | 94f4c1e54f2b2a5dae4099902b8c2fad065d1104 | 70,665 |
def vsh_larionov_tertiary(gr, sand_line, shale_line):
"""
Apply Larinov equation (Larinov, 1969) to correct Gamma Ray index
Vshale values.
"""
shale_line = float(shale_line)
sand_line = float(sand_line)
vsh_grindex = (gr - sand_line)/(shale_line - sand_line)
vsh_larionov = 0.08... | d38092f79f4c50af2ef8f6865271a7d35a4d3b69 | 70,666 |
from typing import Union
from typing import List
def bincoeff(n: int, k: int = None) -> Union[int, List[int]]:
"""Computes the binomial coefficients of `(1 + x)^n` or returns the k-th coefficient
"""
if k is not None:
return comb(n, k)
else:
result = []
for i in range(0, n + 1)... | b82a4c03470c3ded25738bc664ede8d4d2e7a217 | 70,667 |
import re
def key_search (search_string, dict, silent=True):
"""Поиск нужного объекта в словаре, выбор по списку совпадений."""
# Создаётся регистронезависимая поисковая строка:
p = re.compile(search_string, re.I)
# Создаём словарь совпадений:
d_found = {}
counter = 0
# Поиск в словаре:
... | eea262b433f85ccb076bad34dde47b31fe02723e | 70,668 |
def Or(a: Bit, b: Bit) -> Bit:
"""
Or gate
out = True if (a == True or b == True)
, False otherwise
```
+-------+
| |
a +--+ NOT +--+ +--------+
| | +--+ |
+-------+ | NAND +--+ out
+---+ |
+---... | 0d3c3393089102370c46d8361fadd66758c42e59 | 70,669 |
import os
from datetime import datetime
from bs4 import BeautifulSoup
def _post_project(prj=None):
"""Method that will post a project and return an api_types.Project."""
template_path = (os.path.join(
os.path.split(__file__)[0], "post_project_template.xml"))
with open(template_path, 'r') as file:
... | f7555cde6824366a2ac569ce092c8c41b1ee45ec | 70,670 |
import numpy
def ddspline(alpha, control_points):
"""Computes the second derivative of a Cubic Bezier curve wrt alpha.
Args:
alpha: scalar or list of spline parameters to calculate the curve at.
control_points: n x 4 matrix of control points. n[:, 0] is the
starting point, and n[... | 4b739195183991c81dae968196339719597bf846 | 70,671 |
def make_rowcol(string):
"""
Creates a rowcol function similar to the rowcol function of a view
Arguments:
string -- The string on which the rowcol function should hold
Returns:
A function similar to the rowcol function of a sublime text view
"""
rowlens = [len(x) + 1 for x in string.s... | 87a0c162c69dd8f1e4e50f3b40da8772e645772e | 70,672 |
def sigmoid(x, derivative=False):
"""
Returns the sigmoid function applied to x.
Alternatively, can return the derivative or the sigmoid function.
Args:
x (np.ndarray): The input to the sigmoid function.
derivative (bool): Whether to return the derivative or not.
Default: Fa... | b23e7316f902b8632de7751d1a1715172fb75846 | 70,673 |
def search_service():
"""Connect to Google's Search API service with oauth2 using the discovery service."""
return google_service(DCLK_SEARCH_SCOPE) | 065cba99bbd7258828b50c9cae8368130363c68c | 70,674 |
def compute_llr(c, means, sds):
"""Compute the pulse log-likelihood supporting Target 1."""
# Define the generating distributions
m0, m1 = means
s0, s1 = sds
d0, d1 = stats.norm(m0, s0), stats.norm(m1, s1)
# Compute LLR of each pulse
l0, l1 = np.log10(d0.pdf(c)), np.log10(d1.pdf(c))
llr... | 16c769699a5df77eba344abda5033b5e7f2743c9 | 70,675 |
def fake_gauss_1(num_list):
"""Fake Gauss v1"""
a = num_list[0]
b = num_list[-1]
n = b - a + 1
return int(n * (n + 1)/2) | d99cff9196e8a365e1260eee6625db22a25da70c | 70,676 |
def get_activation_function(activation_fn_name: str):
"""Convert from an activation function name to the function itself."""
if activation_fn_name is None:
return None
activation_fn_name = activation_fn_name.lower()
string_to_activation_fn = {
"linear": None,
"tanh": tf.nn.tanh,... | 8d814aa9a3b53402fbd7b33653e12fb71269268b | 70,677 |
import http
from typing import Optional
import gzip
from datetime import datetime
def export(
request: http.HttpRequest,
pklist: str,
workflow: Optional[models.Workflow] = None,
) -> http.HttpResponse:
"""Export the actions given as comma separated list of ids.
:param request:
:param pklist: ... | 4c5b4f1faae08896a275dbb05a39bcfa22f53f57 | 70,678 |
import multiprocessing as mp
import logging
import os
import io
import subprocess
def loop_alt_ledger(obscon, survey='sv3', zcatdir=None, mtldir=None,
altmtlbasedir=None, ndirs = 3, numobs_from_ledger=True,
secondary=False, singletile = None, singleDate = None, debugOrig = False,
... | 1cc9bcd06bc902c84865fab05404cd5238da9909 | 70,679 |
def check_conf_validity(config_dict):
"""A configuration validity test. Return false if any required option is not valid.
"""
if not config_dict["sample.sample_id"].isdigit():
error("Config Validity Check: sample id -- %s should be specified and be an integer!" % config_dict["sample.sample_id"])
... | e8c04847c9e9e209a09184b98d16525143c45397 | 70,680 |
def pathManager(fileName,writingMode,askedForGoAhead,showedOverwriting,filesThatExistedBeforeExe,createdFileNames,lineNum):
"""Takes care of file location, naming conventions, and confirmation to overwrite filtered files."""
goAhead = False
subDirName = []
subDirName.append('FL')
splitFileName ... | a7e5127a64ca6d5a2e1f9fadc1cfaca1da0c46fb | 70,681 |
from typing import List
import statistics
def remove_outliers(numbers: List[float], num_deviations: float = 3):
"""
>>> remove_outliers([0, 1, 2, 3, 4, 5, 50, 6, 7, 8, 9], num_deviations=1)
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
"""
if len(numbers) < 2:
return numbers
avg = statistics.mean(num... | 251e739a301bc06f40e4847f5bdb7282012bfce9 | 70,682 |
def test_ironic_create_node(
mocker,
admin_context: "RequestContext",
ironic_worker: "IronicWorker",
database: "utils.DBFixtures",
):
"""Test that new nodes are created if not already existing."""
get_node_count = 0
patch_node_count = 0
fake_hw = get_fake_hardware(database)
def _fak... | 2cafaadca9706245b6fb23c1bde08c36e1adb94c | 70,683 |
import requests
def _get_page_num_gpzy_distribute_statistics_bank() -> int:
"""
东方财富网-数据中心-特色数据-股权质押-质押机构分布统计-银行
http://data.eastmoney.com/gpzy/distributeStatistics.aspx
:return: int 获取 质押机构分布统计-银行 的总页数
"""
url = "http://dcfm.eastmoney.com/EM_MutiSvcExpandInterface/api/js/get"
params = {
... | 452f1353475315277a820486de4c30f8886784f9 | 70,684 |
from anndata.base import _normalize_index
from scipy.sparse import dok_matrix
def rna_velocity(adata, loomfile, copy=False):
"""Estimate RNA velocity [LaManno17]_
This requires generating a loom file with Velocyto, which will store the
counts of spliced, unspliced and ambiguous RNA for every cell and eve... | b4cc0ed98be63279fbb10fc290356ae73001f0d1 | 70,685 |
def commonPoints(lines):
"""
Given a list of lines, return dictionary - vertice -> count. Where count
specifies how many lines share the vertex.
"""
count = {}
for l in lines:
for c in l.coords:
count[c] = count.get(c, 0) + 1
return count | 1b838ddd4d6a2539b0270cd319a2197e90372c3a | 70,686 |
def compare(isamAppliance1, isamAppliance2):
"""
Compare access policies between two appliances
"""
ret_obj1 = get_all(isamAppliance1)
ret_obj2 = get_all(isamAppliance2)
obj1 = {'rc': 0, 'data': []}
obj2 = {'rc': 0, 'data': []}
for attr in ret_obj1["data"]:
if search(isamApplia... | ddb55360bd9d316210598d9575de1cda50100a24 | 70,687 |
def entity_in(entity, entities, primary_field=ct.default_int64_field_name):
"""
according to the primary key to judge entity in the entities list
:param entity: dict
{"int": 0, "vec": [0.999999, 0.111111]}
:param entities: list of dict
[{"int": 0, "vec": [0.999999, 0.111111]}, {"... | 997661015fecd562aaa064ad097747de222d5153 | 70,688 |
def is_covered_package_name(package_name):
"""We exclude third-party code and code generated by javacc."""
if not package_name.startswith('com/facebook/buck/'):
return False
if package_name == 'com/facebook/buck/apple/xcode/xcconfig':
# TODO: This package has a mix of handwritten and autogen... | 297ca5ec190d149c2660a19a311a753d6f86403a | 70,689 |
def miller_rabin_test(candidate, iterations, randfunc=None):
"""Perform a Miller-Rabin primality test on an integer.
The test is specified in Section C.3.1 of `FIPS PUB 186-4`__.
:Parameters:
candidate : integer
The number to test for primality.
iterations : integer
The maximum... | a334003b7467921246313784d60407ddafa0221e | 70,690 |
from typing import Any
async def change_account_password(
schema_in: schemas.SendEmailChangePassword,
db: AsyncSession = Depends(deps_auth.db_session)
) -> Any:
"""Send email to change user password"""
auth_data = AuthorizationData.where(
login=schema_in.login,
registration_type=enums.... | 51aab1dee48faa7efd1a535f3c200a9c2467a400 | 70,691 |
import os
def fullpath(path):
"""Expands ~ and returns an absolute path"""
return os.path.abspath(os.path.expanduser(path)) | 9299d60d67214a19fd0c2739beda4fa3b55ac38a | 70,692 |
import struct
def load(input_data, key_is_name=False):
"""
py:function:: piexif.load(filename)
Return exif data as dict. Keys(IFD name), be contained, are "0th", "Exif", "GPS", "Interop", "1st", and "thumbnail". Without "thumbnail", the value is dict(tag name/tag value). "thumbnail" value is JPEG as byte... | 0bac04b7d533514e96f4dea694bd2865ff4ae495 | 70,693 |
def _enum_wordnetsyn_match(enum_hypothesis_list, enum_reference_list, wordnet=wordnet):
"""
Matches each word in reference to a word in hypothesis
if any synonym of a hypothesis word is the exact match
to the reference word.
:param enum_hypothesis_list: enumerated hypothesis list
:param enum_re... | 52b42dd87f693c3681f3fa94a68096e3f4ff3f79 | 70,694 |
import os.path, glob
def GetDbNames(user='sysdba', password='masterkey', dirName='.', dBase='::template1', cn=None):
""" returns a list of databases that are available
**Arguments**
- user: the username for DB access
- password: the password to be used for DB access
**Returns**
- a li... | 33b0d1a4a541a18b5134b43fac6dd0c52ee4c292 | 70,695 |
def spring_model():
"""
Creates a SpringMassModel object.
"""
return SpringMassModel(mass=1.5, time_step=1.0, cost=1.0) | ecf68b593c0118b5b49304232318a3a214682adf | 70,696 |
def plotting_context():
"""Context for plotting with Quantity objects
Based on :
https://docs.astropy.org/en/stable/_modules/astropy/visualization/units.html#quantity_support
"""
# Get all subclass for Quantity, since matplotlib checks on class,
# not subclass.
def all_issubclass(... | 06768c3aaad5bb28c8b81d6900adc2db05ff4e04 | 70,697 |
def start_redis(node_ip_address,
redirect_files,
resource_spec,
session_dir_path,
port=None,
redis_shard_ports=None,
num_redis_shards=1,
redis_max_clients=None,
redirect_worker_output=False,
... | c8218a55fb46ce8b7e909c72fd34c03b851f7580 | 70,698 |
import os
def add_meta_and_doc_file(test_name, json_name):
"""
create
.meta/tests.toml
.meta/config.json
.docs/instructions.md (based on ../problem-specifications/exercises/[EXERCISE]/description.md)
for test_name
Not yet implemented.
"""
test_dir_name = os.pa... | 1181e82b627175c885ae34b01d6e8a811793956f | 70,699 |
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