content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def demander_nombre(mini: int = None, maxi: int = None) -> int:
"""
Demande un nombre à l'utilisateur, situé entre min et max.
:param mini: le minimum
:param maxi: le maximum
:return: le nombre entrée par l'utilisateur
"""
message = 'Veuillez rentrer un nombre:'
if mini is not None and m... | ac5b949af1ad4ede2f956c7da5d4c2136dc47b15 | 2,542 |
from datetime import datetime
def temporal_filter(record_date_time, time_or_period, op):
"""
Helper function to perform temporal filters on feature set
:param record_date_time: datetime field value of a feature
:type record_date_time: :class:`datetime.datetime`
:param time_or_period: the time ins... | 9f76d6a6eb96da9359c4bbb80f6cfb1dfdcb4159 | 2,544 |
def convert_rgb2gray(image, convert_dic):
"""convert rgb image to grayscale
Parameters
----------
image: array
RGB image. Channel order should be RGB.
convert_dic: dict
dictionary key is str(rgb list), value is grayscale value
Returns
-------
image_gray: array
Grayscale im... | 0132719ef88d139d1d3da4e52312faef25443efd | 2,548 |
def get_external_storage_path():
"""Returns the external storage path for the current app."""
return _external_storage_path | a33704c5b3267a7211c94b5a3a8d8d73b3889d68 | 2,549 |
def blur(old_img):
"""
:param old_img: a original image
:return: a blurred image
"""
blur_img = SimpleImage.blank(old_img.width, old_img.height)
for x in range(old_img.width):
for y in range(old_img.height):
if x == 0 and y == 0: # Upper left cor... | 771a6e906ea8b485d4166de311c17a441f469158 | 2,550 |
import re
def generate_table_row(log_file, ancestry, official_only, code):
""" Takes an imported log and ancestry and converts it into a properly formatted pandas table.
Keyword arguments:
log_file -- output from import_log()
ancestry -- a single ancestry code
official_only -- a boolean indica... | c72bdef2aafbc15c54b80337c80f03ae8d8f1e00 | 2,551 |
def read_preflib_file(filename, setsize=1, relative_setsize=None, use_weights=False):
"""Reads a single preflib file (soi, toi, soc or toc).
Parameters:
filename: str
Name of the preflib file.
setsize: int
Number of top-ranked candidates that voters approve.
... | 6feec6e786e47cdc11021021ffa91a1f96597567 | 2,552 |
def get_row(client, instance, file_=None):
"""Get one row of a family table.
Args:
client (obj):
creopyson Client.
instance (str):
Instance name.
`file_` (str, optional):
File name. Defaults is currently active model.
Returns:
(dict):
... | c8e8c90a81d553d06ce9f78eb1be582e5b034ac6 | 2,553 |
def hospitalization_to_removed(clip_low=2, clip_high=32.6, mean=8.6, std=6.7):
"""
Returns the time for someone to either get removed after being
hospitalized in days within range(clip_low, clip_high),
of a truncated_norm(mean, std).
"""
return sample_truncated_norm(clip_low, clip_high, mean, st... | e1da5283e32b5734927436af72fdbd002c0844b1 | 2,554 |
def test_inheritance():
"""
test inheritance from different module
"""
# test module
test_data = doc.MatObject.matlabify('test_data')
test_submodule = test_data.getter('test_submodule')
sfdm = test_submodule.getter('super_from_diff_mod')
ok_(isinstance(sfdm, doc.MatClass))
eq_(sfdm.b... | 0f29de2ef67318010feed25ea0ffc08e2dc44162 | 2,555 |
from collections import Counter
def split_mon_unmon(data, labels):
"""
Splits into monitored and unmonitored data
If a data point only happens once, we also consider it unmonitored
@return monitored_data, monitored_label, unmonitored_data
"""
occurence = Counter(labels)
monitored_data, u... | b1d0cac2e12f4386bf04eb355811f230b18f38ca | 2,556 |
def sum_and_count(x, y):
"""A function used for calculating the mean of a list from a reduce.
>>> from operator import truediv
>>> l = [15, 18, 2, 36, 12, 78, 5, 6, 9]
>>> truediv(*reduce(sum_and_count, l)) == 20.11111111111111
True
>>> truediv(*fpartial(sum_and_count)(l)) == 20.11111111111111... | d43cc8dc39fb35afae4f6a4e32d34221d525f5d3 | 2,558 |
def animTempCustom():
"""
Temporarily play a custom animation for a set amount of time.
API should expect a full `desc` obect in json alongside a timelimit, in ms.
"""
colorList = request.form.get('colors').split(',')
colorsString = ""
for colorName in colorList:
c = Color(colorName... | 2d9cea92d7c1c93d73fcf9b325b7b58225b4ba13 | 2,559 |
from unittest.mock import Mock
def mock_stripe_invoice(monkeypatch):
"""Fixture to monkeypatch stripe.Invoice.* methods"""
mock = Mock()
monkeypatch.setattr(stripe, "Invoice", mock)
return mock | a88923ba6d4a6dda9bf3b2fcda3bb717efe36cee | 2,560 |
def read_project(output_dir):
"""Read existing project data
"""
try:
yaml = YAML()
with open(project_yaml_file(output_dir), encoding='utf-8') as project:
project_data = yaml.load(project)
for key, value in project_data.items():
if value == None:
... | 90cfd7d143176925d8a99f4d577bc7de9eb360e2 | 2,561 |
def bytes_to_int(byte_array: bytes) -> int:
""" Bytes to int """
return int.from_bytes(byte_array, byteorder='big') | 442452faeb1a4e7c346b6f4355095f179701f8f1 | 2,562 |
def ask(query, default=None):
"""Ask a question."""
if default:
default_q = ' [{0}]'.format(default)
else:
default_q = ''
inp = input("{query}{default_q}: ".format(query=query, default_q=default_q)).strip()
if inp or default is None:
return inp
else:
return defaul... | 54564ee00749ddb2e5c409d781552f3ca5fcd847 | 2,563 |
def _clean_kwargs(keep_name=False, **kwargs):
"""
Sanatize the arguments for use with shade
"""
if "name" in kwargs and not keep_name:
kwargs["name_or_id"] = kwargs.pop("name")
return __utils__["args.clean_kwargs"](**kwargs) | 326d849b030a11ebc21e364f6a05eef9ab019637 | 2,564 |
def calculate_pnl_per_equity(df_list):
"""Method that calculate the P&L of the strategy per equity and returns a list of P&L"""
pnl_per_equity = [] # initialize the list of P&L per equity
for df in df_list: # iterates over the dataframes of equities
pnl = df['Strategy Equity'].iloc[-1] - df['Buy and... | 4f6ac1b9f6a949215c6b805f05a65897393f3288 | 2,566 |
import http
def search(q_str: str) -> dict:
"""search in genius
Args:
q_str (str): query string
Returns:
dict: search response
"""
data = {'songs': [], 'lyric': []}
response = http.get(
'https://genius.com/api/search/multi?per_page=5', params={'q': q_str}, headers=hea... | 7421220e43415fb17b29db26f1fc6902e88144a4 | 2,567 |
def geocode(level=None, names=None, countries=None, states=None, counties=None, scope=None) -> NamesGeocoder:
"""
Create a `Geocoder`. Allows to refine ambiguous request with `where()` method,
scope that limits area of geocoding or with parents.
Parameters
----------
level : {'country', 'state'... | 25ab4ff7887d09a41c19b6ec8ee9057151483b2e | 2,569 |
def fpAbs(x):
"""
Returns the absolute value of the floating point `x`. So:
a = FPV(-3.2, FSORT_DOUBLE)
b = fpAbs(a)
b is FPV(3.2, FSORT_DOUBLE)
"""
return abs(x) | d69f5f07b651ed4466ff768601c77f90232b8827 | 2,570 |
from io import StringIO
import json
def volumes(container:str) -> list:
"""
Return list of 'container' volumes (host,cont)
"""
buf = StringIO()
_exec(
docker, 'inspect', '-f', "'{{json .Mounts}}'", container, _out=buf
)
res = buf.getvalue().strip()
vols_list = json.loads(res[... | 5191df9ab4aa58a80fba90872da6091bc58f8be2 | 2,571 |
def names():
"""Return stock summary information"""
helper = SQLHelper()
conn = helper.getConnection()
repo = robinhoodRepository(conn)
stockInfo = repo.getAllStocks()
return json_response(stockInfo, 200) | d543ab5254e95e903e8b74db1ab5b0266859b083 | 2,572 |
def get_bot_group_config(bot_id):
"""Returns BotGroupConfig for a bot with given ID.
Returns:
BotGroupConfig or None if not found.
Raises:
BadConfigError if there's no cached config and the current config at HEAD is
not passing validation.
"""
cfg = _fetch_bot_groups()
gr = cfg.direct_matches... | 025b2a9a91f2a744668fd6c438db0f5c4edd0a98 | 2,573 |
def add_utm(url_, campaign, source='notification', medium='email'):
"""Add the utm_* tracking parameters to a URL."""
return urlparams(
url_, utm_campaign=campaign, utm_source=source, utm_medium=medium) | d428daf58db7b0b5d5dabfd4bac6f70e900bd311 | 2,574 |
def is_forest(G):
"""Return True if the input graph is a forest
Parameters
----------
G : NetworkX Graph
An undirected graph.
Returns
-------
True if the input graph is a forest
Notes
-----
For undirected graphs only.
"""
for graph in nx.connected_component_subg... | 6aade3d2407b8af1cd8662b9efdc604d304341fe | 2,575 |
def parse_uri(uri):
""" This implies that we are passed a uri that looks something like:
proto://username:password@hostname:port/database
In most cases, you can omit the port and database from the string:
proto://username:password@hostname
Also, in cases with no username, you c... | 5204d803a5d0f6995c49883a892bc6b22cef9443 | 2,577 |
def pwgen(pw_len=16):
"""Generate a random password with the given length.
Allowed chars does not have "I" or "O" or letters and
digits that look similar -- just to avoid confusion.
"""
return get_random_string(
pw_len, 'abcdefghjkmnpqrstuvwxyz' 'ABCDEFGHJKLMNPQRSTUVWXYZ' '23456789'
) | 3c5a07440a6d3eee7c1bc9162089c434cfe6c45d | 2,578 |
def compute_tree_distances(tree):
"""
Computes the matrix of pairwise distances between leaves of the tree
"""
num_leaves = len(get_leaves(tree)) - 1
distances = np.zeros([num_leaves, num_leaves])
for leaf in range(num_leaves):
distance_dictionary, tmp = nx.multi_source_dijkstra(tree.to_... | b4bdd81e0f4c8d5577813f6e68ece9f0a8992e19 | 2,580 |
def create_rndm_backgr_selections(annotations, files, length, num, no_overlap=False, trim_table=False):
""" Create background selections of uniform length, randomly distributed across the
data set and not overlapping with any annotations, including those labelled 0.
The random sampling is performe... | 01eac8bc0a624b56d419ce3cb75744792af1472f | 2,581 |
def GetPartition(partition_name, target_os):
"""Return the partition to install to.
Args:
partition_name: partition name from command-line
{'primary', 'secondary', 'other'}
target_os: 'fiberos' or 'android'
Returns:
0 or 1
Raises:
Fatal: if no partition could be determined... | b3f030779bd29bbe695ba3769372f4af700d7cb7 | 2,583 |
import aiohttp
import json
async def call_dialogflow(message, config, lang=DEFAULT_LANGUAGE):
"""Call the Dialogflow api and return the response."""
async with aiohttp.ClientSession() as session:
payload = {
"v": DIALOGFLOW_API_VERSION,
"lang": lang,
"sessionId": me... | e670748dc4d0318d047b0f0ded6d857597112d49 | 2,584 |
def gettgd(sat, eph, type=0):
""" get tgd: 0=E5a, 1=E5b """
sys = gn.sat2prn(sat)[0]
if sys == uGNSS.GLO:
return eph.dtaun * rCST.CLIGHT
else:
return eph.tgd[type] * rCST.CLIGHT | c7231769b0e9be5287b2b2f76c8dcdc7bd409a89 | 2,585 |
def random_sign_uniform(shape,
minval=None,
maxval=None,
dtype=dtypes.float32,
seed=None):
"""Tensor with (possibly complex) random entries from a "sign Uniform".
Letting `Z` be a random variable equal to `-1` and `1` w... | b942253c14438c72c19d648a0d0358d8cd280bd0 | 2,586 |
def ones_v(n):
"""
Return the column vector of ones of length n.
"""
return matrix(1, (n,1), 'd') | 46936660025c1b5bd533b78143301d1218b568d7 | 2,587 |
def test_encrypt_and_decrypt_two(benchmark: BenchmarkFixture) -> None:
"""Benchmark encryption and decryption run together."""
primitives.decrypt = pysodium.crypto_aead_xchacha20poly1305_ietf_decrypt
primitives.encrypt = pysodium.crypto_aead_xchacha20poly1305_ietf_encrypt
def encrypt_and_decrypt() -> b... | 1b632ae28f147fa4d98dcdda982bf3d17b2c17dd | 2,588 |
def get_fy_parent_nucl(fy_lib):
"""Gets the list of fission parents from a fission yield dictionnary.
Parameters
----------
fy_lib: dict
A fission yield dictionnary
"""
fy_nucl = get_fy_nucl(fy_lib)
fy_parent = []
sample_zamid = fy_nucl[0]
sample = fy_lib[sample_zamid]
... | feb2ec2adfda4d9df4993cc89545564e4c0d1a54 | 2,590 |
from functools import partial
import array
def initialize ( is_test, no_cam ) :
"""job machine Tableをもとに個体、世代の初期設定"""
jmTable = getJmTable ( is_test )
MAX_JOBS = jmTable.getJobsCount()
MAX_MACHINES = jmTable.getMachinesCount()
# makespan最小化
creator.create ( "FitnessMin", base.Fitness, weights=(-1.0,) )
# 個体はジョ... | f306cf9b5400ea92b92709bc6986d6b87ea909b2 | 2,591 |
def perform_variants_query(job, **kwargs):
"""Query for variants.
:param job: API to interact with the owner of the variants.
:type job: :class:`cibyl.sources.zuul.transactions.JobResponse`
:param kwargs: See :func:`handle_query`.
:return: List of retrieved variants.
:rtype: list[:class:`cibyl.... | c779080e2ef8c1900c293f70996e17bae932b142 | 2,592 |
import torch
def get_model(share_weights=False, upsample=False): # pylint: disable=too-many-statements
""" Return a network dict for the model """
block0 = [{'conv1_1': [3, 64, 3, 1, 1]},
{'conv1_2': [64, 64, 3, 1, 1]}, {'pool1_stage1': [2, 2, 0]},
{'conv2_1': [64, 128, 3, 1, 1... | 364050799adc3312e4a46081e4a82338407f177b | 2,593 |
def bootstrap(config_uri, request=None, options=None):
""" Load a WSGI application from the PasteDeploy config file specified
by ``config_uri``. The environment will be configured as if it is
currently serving ``request``, leaving a natural environment in place
to write scripts that can generate URLs an... | 608629eb380765ebafa4009946a30b9f46de6ff9 | 2,594 |
def readSegy(filename) :
"""
Data,SegyHeader,SegyTraceHeaders=getSegyHeader(filename)
"""
printverbose("readSegy : Trying to read "+filename,0)
data = open(filename).read()
filesize=len(data)
SH=getSegyHeader(filename)
bps=getBytePerSample(SH)
ntraces = (filesize-3600)/(SH['ns']*bps+240)
# ntraces = 100... | 5e3920255aa49c70e0e898b2d3915c05afc7f869 | 2,595 |
def planar_transform(imgs, masks, pixel_coords_trg, k_s, k_t, rot, t, n_hat, a):
"""transforms imgs, masks and computes dmaps according to planar transform.
Args:
imgs: are L X [...] X C, typically RGB images per layer
masks: L X [...] X 1, indicating which layer pixels are valid
pixel_coords_trg: [...... | 18f90706b996ee9ba81ab7142313dcaa761cf773 | 2,596 |
def convertDynamicRenderStates(data, builder):
"""
Converts dynamic render states. The data map is expected to contain the following elements:
- lineWidth: float width for the line. Defaults to 1.
- depthBiasConstantFactor: float value for the depth bias constant factor. Defaults to 0.
- depthBiasClamp: float valu... | 5c27ebd4401d8b6c0388bfe6f1973c137404ddf5 | 2,597 |
def binary_search(a, search_value):
"""
@name binary_search
@param a array
"""
N = len(a)
l = 0
r = len(a) - 1
while(True):
try:
result = binary_search_iteration(a, l, r, search_value)
l, r = result
except TypeError:
return -1 if not re... | 5fc2748a76d89c2559cda8bc9dacd16d90b2aa5e | 2,598 |
from typing import Dict
from typing import Any
from typing import cast
def _key_match(d1: Dict[str, Any], d2: Dict[str, Any], key: str) -> bool:
"""
>>> _key_match({"a": 1}, {"a": 2}, "a")
False
>>> _key_match({"a": 1}, {"a": 2}, "b")
True
>>> _key_match({"a": 2}, {"a": 1}, "a")
False
... | 8e76ee70c6209b357b13890a9fcf2b0b7d770c1b | 2,599 |
def calculate(over):
"""Returns the value of the first triangle number to have
over the specified number of divisors"""
triangle = 0
count = sum(range(triangle))
while True:
if num_divisors(count) > over:
answer = count
return answer
triangle += 1
coun... | e7391bea108261bb2b7abc64cbdd6ba6285deaae | 2,600 |
import numpy
def convert_image_to_kernel(im: Image, oversampling, kernelwidth):
""" Convert an image to a griddata kernel
:param im: Image to be converted
:param oversampling: Oversampling of Image spatially
:param kernelwidth: Kernel width to be extracted
:return: numpy.ndarray[nchan, npol, over... | fe1a2a81421a5f3c09e6c6439aeb7b52e217967f | 2,601 |
def prob(X, w):
"""
X: Nxd
w: dx1
---
prob: N x num_classes(2)"""
y = tf.constant(np.array([0.0, 1.0]), dtype=tf.float32)
prob = tf.exp(tf.matmul(X, w) * y) / (1 + tf.exp(tf.matmul(X, w)))
return prob | b916f75bc3596bbbff701b6dbb3b43add0f06373 | 2,602 |
def get_date_strings():
"""
Get date strings for last month and this month in "%Y%m" format, e.g. "202201"
"""
today = date.today()
first = today.replace(day=1)
last_month = first - timedelta(days=1)
this_month_string = today.strftime("%Y%m")
last_month_string = last_month.strftime("%Y%... | cc09f710d86efcc73a7e653d30cc2d590ba865e6 | 2,604 |
import torch
from typing import Tuple
def rotate(
img: torch.Tensor,
boxes: np.ndarray,
angle: float,
) -> Tuple[torch.Tensor, np.ndarray]:
"""Rotate image around the center, interpolation=NEAREST, pad with 0 (black)
Args:
img: image to rotate
boxes: array of boxes to rotate as we... | acd5c83a857b1bdb2312a078cfd972f9a1a0df9f | 2,606 |
def _letterbox_image(img, w_in, h_in):
"""To get the image in boxed format."""
imc, imh, imw = img.shape
if (w_in / imw) < (h_in / imh):
new_w = w_in
new_h = imh * w_in // imw
else:
new_h = h_in
new_w = imw * h_in // imh
resized = _resize_image(img, new_w, new_h)
... | 918e96f3ac7f5b1c8f7177ad759dab0579763e77 | 2,607 |
def to_RRDB(**kwargs):
"""
Residual in Residual Dense Blocks
"""
kwargs["n_filer"] = (" ",) * len(kwargs["n_filer"]) # remove x label
return _Box(fill="{rgb:white,1;black,3}", **kwargs) | 2b1afd5f4a8c65364fcdee18fc8da3da71eade08 | 2,608 |
def continuous_agg_dict_features(n, n_feats, ks):
"""Listdict-like continuous aggregated features.
Parameters
----------
n: int
the number of the elements to create their features.
n_feats: int
the number of features.
ks: int
the number of perturbations.
Returns
... | ec98930c124553a86ef50db58cf7e13107bf6e52 | 2,609 |
def counts_matrix(x, quantiles):
"""Count samples in strata
Get eta, the number of samples in ``x`` binned by ``quantiles`` in each
variable, for continuous variables. The shape of eta is the same as the
shape of ``x``, and the shape of ``quantiles`` should be
(``numpy.shape(x)[0] + 1``, ``numpy.sh... | 935cd19913e420ea6713ca74ead19f720bdef782 | 2,610 |
import logging
def get_xml_string(stream_pointer):
""" This function checks for valid xml in a stream
and skips bytes until it hits something that looks like
xml. In general, this 'skipping' should never be used, as
we expect to see well-formed XML from the server.
stream_pointer: input strea... | 3fa2e3d05bfc66cee592c4c40cc1e9349e512c3a | 2,611 |
import re
def parse_header(header):
"""Parse header div for pub. title, authors journal, year, and doi."""
# TITLE
title = header.find('h1').text.strip()
# JOURNAL
journal = header.find('button').text.strip()
# PUBLICATION YEAR
pub_date = header.find('span', attrs={'class': "cit"}).text
... | 70dc1defbd9e6098e0754164d0dd23c7c79074d6 | 2,612 |
def put_this_into_the_db(query, param):
"""put this value into the database
see : find_by_exactly_this_query()
Arguments:
query {[type]} -- [description]
param {[type]} -- [description]
Returns:
bool -- [description]
"""
# Connect to the database
connection = pymysql.con... | 08cebe330cea5f10189342c6f3ec4f9f7cc022e1 | 2,614 |
def _gen_new_aux_page(label: str, is_title: bool) -> str:
"""Generate latex for auxillary pages"""
page = []
if is_title:
page.append("\\thispagestyle{empty}")
page.append("\\begin{center}")
page.append("\t\\vfil")
page.append("\t\\vspace*{0.4\\textheight}\n")
page.append("\t\\Hug... | 3ff31ae80f007fd5da2dd6153ea605978421c086 | 2,615 |
def expand_matrix_col(matrix, max_size, actual_size):
"""
add columns of zeros to the right of the matrix
"""
return np.append(matrix,
np.zeros((matrix.shape[0], max_size - actual_size), dtype=matrix.dtype), axis=1) | 23b20b443c880d1658eeec89910f9f3384576e6e | 2,616 |
import logging
def vms_list(access_token, config_id):
"""List FlexVM Virtual Machines"""
logging.info("--> List FlexVM Virtual Machines...")
uri = FLEXVM_API_BASE_URI + "vms/list"
headers = COMMON_HEADERS.copy()
headers["Authorization"] = f"Bearer {access_token}"
body = {"configId": config_i... | eed35eefae4e26d743e0e96e791b6f5dd84d0c2f | 2,617 |
from unittest.mock import patch
def method_mock(cls, method_name, request):
"""
Return a mock for method *method_name* on *cls* where the patch is
reversed after pytest uses it.
"""
_patch = patch.object(cls, method_name)
request.addfinalizer(_patch.stop)
return _patch.start() | b14d991c42e0c05a51d9c193c3769b1e1e71dd1f | 2,619 |
def get_eps_float32():
"""Return the epsilon value for a 32 bit float.
Returns
-------
_ : np.float32
Epsilon value.
"""
return np.finfo(np.float32).eps | e0506637aa3f9c29dc33d1256ce21d7dc686a4cd | 2,620 |
def distributions_to_params(nest):
"""Convert distributions to its parameters, keep Tensors unchanged.
Only returns parameters that have tf.Tensor values.
Args:
nest (nested Distribution and Tensor): Each Distribution will be
converted to dictionary of its Tensor parameters.
Return... | bfa1cfd043bd46667de8ed07fd54fef959b272ae | 2,621 |
def _return_xarray_system_ids(xarrs: dict):
"""
Return the system ids for the given xarray object
Parameters
----------
xarrs
Dataset or DataArray that we want the sectors from
Returns
-------
list
system identifiers as string within a list
"""
return list(xarr... | 8380d1c2ae9db48eb4b97138dcd910d58085073e | 2,622 |
def sub(a, b):
"""Subtracts b from a and stores the result in a."""
return "{b} {a} ?+1\n".format(a=a, b=b) | dcc0ddfc9dbefe05d79dea441b362f0ddfe82627 | 2,623 |
def metrics_cluster(models = None, ytrain = None, ytest = None,
testlabels = None,
trainlabels = None,
Xtrain = None, Xtest = None):
"""
Calculates Metrics such as accu... | c9c131385a47df3de511db0e85ece20131647d4e | 2,624 |
def prune_cloud_borders (numpy_cloud, clearance=1.2 ):
"""Delete points at the clouds' borders in range of distance, restricting the x-y plane (ground)"""
# get min/max of cloud
cloud_max_x = np.max (numpy_cloud[:, 0])
cloud_min_x = np.min (numpy_cloud[:, 0])
cloud_max_y = np.max (numpy_cloud[:, 1]... | f208c9778343c3240803b52ff3e5f4701a8bb1cb | 2,625 |
def factory(name, Base, Deriveds):
"""Find the base or derived class by registered name.
Parameters
----------
Base: class
Start the lookup here.
Deriveds: iterable of (name, class)
A list of derived classes with their names.
Returns
-------
class
"""
Derived =... | 1bce29651004cf1f04740fd95a4f62c6c2277a72 | 2,626 |
def root_sum_square(values, ax_val, index, Nper, is_aper, is_phys, unit):
"""Returns the root sum square (arithmetic or integral) of values along given axis
Parameters
----------
values: ndarray
array to derivate
ax_val: ndarray
axis values
index: int
index of axis along... | 2af20718dc4d7a6b8d40e939a46d140fda5bf375 | 2,627 |
import json
def comment_on_tweet():
""""
http://127.0.0.1:5000/user/comment_on_tweet
body = {
"id": "5da61dbed78b3b2b10a53582",
"comments" : {
"commenter" : "testuser2@myhunter.cuny.edu",
"comment" : "comments against tweet : 7"
... | 232854a883a4bbd99a46dc3dc46e9a47fb1993dc | 2,628 |
def generate_git_api_header(event, sig):
"""
Create header for GitHub API Request, based on header information from https://developer.github.com/webhooks/.
:param event: Name of the event type that triggered the delivery.
:param sig: The HMAC hex digest of the response body. The HMAC hex digest is gene... | 9b60d9eb6a8ea962bb7426970f2c2b82a229ef12 | 2,629 |
def var_gaussian(r, level=5, modified=False):
"""
Returns the Parametric Gauusian VaR of a Series or DataFrame
If "modified" is True, then the modified VaR is returned,
using the Cornish-Fisher modification
"""
# compute the Z score assuming it was Gaussian
z = norm.ppf(level/100)
if mod... | 2ff13a6b222663a200b77e526475331bfacd9c07 | 2,630 |
import math
def lnglat_to_tile(lon, lat, zoom):
"""Get the tile which contains longitude and latitude.
:param lon: longitude
:param lat: latitude
:param zoom: zoom level
:return: tile tuple
"""
lon, lat = truncate(lon, lat)
n = 1 << zoom
tx = int((lon + 180.0) / 360.0 * n)
ty ... | 84e1c103b03a2ec80a9585c8c852045c5d58cb76 | 2,631 |
from typing import Union
from typing import Optional
from typing import Callable
from typing import Any
def group_obs_annotation(
adata: AnnData,
gdata: AnnData,
*,
groups: Union[str, ut.Vector],
name: str,
formatter: Optional[Callable[[Any], Any]] = None,
method: str = "majority",
min... | fc9abd9a983d24869f46efb71d29cd2db53508da | 2,632 |
def generate_languages(request):
"""
Returns the languages list.
"""
validate_api_secret_key(request.data.get('app_key'))
request_serializer = GenerateLanguagesRequest(data=request.data)
if request_serializer.is_valid():
get_object_or_404(TheUser, auth_token=request.data.get('user_token... | 67856b4bac293e272debb0ac9f2a2e0c863f4cdb | 2,634 |
def all_stocks():
"""
#查询当前所有正常上市交易的股票列表
:return:
"""
data = pro.stock_basic(exchange='', list_status='L', fields='ts_code,symbol,name,area,industry,list_date')
return data["symbol"].values | 582381319bd0b613758f41de2005e192c802a923 | 2,635 |
import requests
import json
def getBotHash(userID, isCompile=False):
"""Gets the checksum of a user's bot's zipped source code"""
params = {"apiKey": API_KEY, "userID": userID}
if isCompile:
params["compile"] = 1
result = requests.get(MANAGER_URL+"botHash", params=params)
print("Gett... | 700d5418212836e1ad20a3a336587436cf1e93de | 2,636 |
def next_remote_buffer_uuid(number=1):
"""Return the next uuid of a remote buffer."""
global remote_buffer_counter
if number == 1:
ret = remote_buffer_counter
else:
ret = np.arange(remote_buffer_counter, remote_buffer_counter + number)
remote_buffer_counter = (remote_buffer_counter +... | da31c68dd199ff765ec6eaab17912dd4e3ea8ee4 | 2,637 |
def ball_collide(i):
"""
This function will handle the ball collide interaction between brick and paddle
:param i: (int) The index of the ball to interact
:return: (Bool) If this ball collide with brick or paddle
"""
global score
collide = False
for j in range(2):
for k in range(... | 33ee97dde1302578067e16b8251e5c3787901697 | 2,638 |
from pathlib import Path
import tqdm
def gen_sparse_graph(destination_folder: Path,
vertices_number: int,
edge_probability: float) -> Path:
"""
Generates sparse graph
:param destination_folder: directory to save the graph
:type destination_folder: Path
:p... | 79369b7c436ca903e5cbc620b95d6425d5646a55 | 2,639 |
def read_csv(path):
"""Reads the CSV file at the indicated path and returns a list of rows.
Parameters:
path (str): The path to a CSV file.
Returns:
list[row]: A list of rows. Each row is a list of strings and numbers.
"""
with open(path, 'rb') as f:
return decode_csv(f.re... | 7b979a9e15ae07cbdb2733ec071ea82664df5bab | 2,642 |
def obj_mask(im):
"""Computes the mask for an image with transparent background
Keyword arguments:
im -- the input image (must be RGBA)
"""
A = im.split()[-1]
T = ImageOps.invert(A)
return Image.merge("RGBA", (T, T, T, A)) | bfcb6c9c8877dc2507bc9bc658eeb1140fc950bc | 2,643 |
def rnn(rnn_type, inputs, length, hidden_size, layer_num=1,
dropout_keep_prob=None, concat=True):
"""
Implements (Bi-)LSTM, (Bi-)GRU and (Bi-)RNN
在这个module中，rnn是主要的接口，所以把rnn放在上面
Args:
rnn_type: the type of rnn, such as lstm
inputs: padded inputs into rnn, usually a d*p or l*p mat... | 80d06ed499c4668bd398efdf9358c8d72e2e3192 | 2,644 |
def find_expired(bucket_items, now):
"""
If there are no expired items in the bucket returns
empty list
>>> bucket_items = [('k1', 1), ('k2', 2), ('k3', 3)]
>>> find_expired(bucket_items, 0)
[]
>>> bucket_items
[('k1', 1), ('k2', 2), ('k3', 3)]
Expired items are returned in the lis... | 476fd079616e9f5c9ed56ee8c85171fcb0ddb172 | 2,645 |
import array
def find_sprites(image=None, background_color=None):
""" Find sprites
@image: MUST be an Image object
@background_color: optinal, whether tuple (RGB/ RGBA) or int (grayscale)
"""
def find_sprites_corners(sprite, label_map, numpy_array):
columns = set()
rows = set()
... | 67a544e916ebd01fbddd16f755e386d820507433 | 2,646 |
def get_java_package(path):
"""Extract the java package from path"""
segments = path.split("/")
# Find different root start indecies based on potential java roots
java_root_start_indecies = [_find(segments, root) for root in ["java", "javatests"]]
# Choose the root that starts earliest
start_... | 253e503a146cffe6a8c00786539d8e3a2d6374f7 | 2,647 |
def get_plugin():
"""Return the filter."""
return TextFilter | b0d43cab9c3b887fd9735ecfdc5372a8e2aefb49 | 2,649 |
import time
def caltech256(root):
"""Caltech256 dataset from http://www.vision.caltech.edu/Image_Datasets/Caltech256
Pictures of objects belonging to 256 categories.
About 80 to 800 images per category.
Collected in September 2003 by Fei-Fei Li, Marco Andreetto,
and Marc 'Aurelio Ranzato. ... | 972cec00a3360fe0ace5b1fb8165e45718c137c1 | 2,650 |
def draw__mask_with_edge(cv2_image: np.ndarray, edge_size: int = 10) -> np.ndarray:
"""
From a color image, get a black white image each instance separated by a border.
1. Change a color image to black white image.
2. Get edge image from `cv2_image`, then invert it to separate instance by a border.
... | 50a25b60fdfa83f8cd1ec707f4c0e63b3c621695 | 2,651 |
def get_functions(pdb_file):
"""Get the offset for the functions we are interested in"""
methods = {'ssl3_new': 0,
'ssl3_free': 0,
'ssl3_connect': 0,
'ssl3_read_app_data': 0,
'ssl3_write_app_data': 0}
try:
# Do this the hard way to avoid ha... | e2a36d3799004c1f96d5bccb3c4f0a8ad3ce2607 | 2,652 |
import typing
def empty_iterable() -> typing.Iterable:
"""
Return an empty iterable, i.e., an empty list.
:return: an iterable
:Example:
>>> from flpy.iterators import empty_iterable
>>> empty_iterable()
[]
"""
return list() | 904fe365abf94f790f962c9a49f275a6068be4f0 | 2,653 |
from re import M
def nearest_pow_2(x):
"""
Finds the nearest integer that is a power of 2.
In contrast to :func:`next_pow_2` also searches for numbers smaller than
the input and returns them if they are closer than the next bigger power
of 2.
"""
a = M.pow(2, M.ceil(M.log(x, 2)))
b = M... | c9dba6f38badcedee02f7071fc5fcf82519dbdcb | 2,654 |
def timestamp_preprocess(ds, column, name):
"""This function takes the timestamp in the dataset and create from it features according to the settings above
Args:
ds ([dataframe]): dataset
column ([integer]): column index
name ([string]): column name
Returns:
[dataframe]: dat... | 18203f8e9a016d3302d5fe06d498d68403eb5805 | 2,655 |
def make_taubin_loss_function(x, y):
"""closure around taubin_loss_function to make
surviving pixel positions availaboe inside.
x, y: positions of pixels surviving the cleaning
should not be quantities
"""
def taubin_loss_function(xc, yc, r):
"""taubin fit formula
reference... | b11aae3586cb387a6e280f5b0e985dcf6364306e | 2,656 |
def init_rf_estimator():
"""
Instantiate a Random forest estimator with the optimized hyper-parameters.
:return: The RandomForest estimator instance.
"""
rf = RandomForestClassifier(
criterion=RF_CRIT,
min_samples_leaf=RF_MIN_SAMPLES_LEAF,
max_features='auto',
n_estimators=RF_N_ESTS,
n_jobs=-1)
return r... | 1171b5582869151823da29c61545c857e04ffed6 | 2,657 |
def dict_filter(d, exclude=()):
"""
Exclude specified keys from a nested dict
"""
def fix_key(k):
return str(k) if isinstance(k, builtin_str) else k
if isinstance(d, list):
return [dict_filter(e, exclude) for e in d]
if isinstance(d, dict):
items = ((fix_key(k), v) for... | afa87c730fd105741a3bf95601d682fa817b903d | 2,658 |
async def mongoengine_multiple_objects_exception_handler(request, exc):
"""
Error handler for MultipleObjectsReturned.
Logs the MultipleObjectsReturned error detected and returns the
appropriate message and details of the error.
"""
logger.exception(exc)
return JSONResponse(
Respo... | c0e3d8d25ee02b9240cbf02f532cb853cbc693ee | 2,659 |
def _get_sample_times(*traces, **kwargs):
"""Get sample times for all the traces."""
# Set the time boundaries for the DataFrame.
max_stop_time = max(
[trace.stop_time() for trace in traces if isinstance(trace, Trace)]
)
stop_time = kwargs.pop("stop_time", max_stop_time)
min_start_time ... | 3e20bed62017e8306b3489ec41b7f6cd59a4c916 | 2,660 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.