content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
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_similar_genes_Quantiles(
gene_expr: np.array,
n_genes: int,
candidate_quants: np.ndarray,
candidate_genes: np.array,
quantiles=(0.5, 0.75, 0.85, 0.9, 0.95, 0.97, 0.98, 0.99, 1),
):
"""Gets genes with a similar expression distribution as the inputted gene,
by measuring distance be... | c327e78a08f8da73af896a2e496f6c24258cc271 | 2,603 |
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 logging
def get_gpa(cookie, sno, year='', term=''):
"""
获取已取得的总基点: 专必 公必 公选 专选
"""
logging.debug('Getting gpa: %s %s %s %s', sno, year, term, cookie)
url = 'http://uems.sysu.edu.cn/jwxt/xscjcxAction/xscjcxAction.action?method=getAllJd'
query_json = """
{
header: {
... | d586aab689e40be763ccb907a4673e2da500e8a2 | 2,605 |
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 |
import argparse
def parse_arguments():
"""Parse user args
There are three subparsers, one for each mode: full, visit, and moab.
Full mode runs both the visit and moab steps. Each parser should have a
full help message, simplified usage statement, and examples.
"""
mode_examples = """
To view ... | 9cd3809479ab49a53343c6a7007e34fbf08dc23b | 2,613 |
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 |
def formulate_hvdc_flow(problem: LpProblem, angles, Pinj, rates, active, Pt, control_mode, dispatchable, r, F, T,
logger: Logger = Logger(), inf=999999):
"""
:param problem:
:param nc:
:param angles:
:param Pinj:
:param t:
:param logger:
:param inf:
:return:
... | b9fb1d6d7fdf19ee97f1b29f4e4b279130aab530 | 2,618 |
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 |
import os
import yaml
import json
def load_pipeline(path, tunables=True, defaults=True):
"""Load a d3m json or yaml pipeline."""
if not os.path.exists(path):
base_path = os.path.abspath(os.path.dirname(__file__))
path = os.path.join('templates', path)
path = os.path.join(base_path, p... | 386683e91af1a5f568e329f70690e676c5c9383d | 2,633 |
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 |
from pyapprox.cython.barycentric_interpolation import \
def multivariate_hierarchical_barycentric_lagrange_interpolation(
x,
abscissa_1d,
barycentric_weights_1d,
fn_vals,
active_dims,
active_abscissa_indices_1d):
"""
Parameters
----------
x : np.ndarray ... | da527f226ea2c95fcec160616b060eed08e83e87 | 2,640 |
import pandas as pd
import os
def deaths(path):
"""Monthly Deaths from Lung Diseases in the UK
A time series giving the monthly deaths from bronchitis, emphysema and
asthma in the UK, 1974-1979, both sexes (`deaths`),
P. J. Diggle (1990) *Time Series: A Biostatistical Introduction.*
Oxford, table A.3
A... | 05ff7646d2c7a5a6368b9453ef7c8c80f1348b1c | 2,641 |
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 |
import os
def generate_seekr2_model_and_filetree(model_input, force_overwrite):
"""
Using the Model_input from the user, prepare the Model
object and the filetree. Then prepare all building files
for each anchor and serialize the Model to XML.
"""
model = common_prepare.model_factory(model_inp... | 1309c8106f4b52b14c6b6c6760cefec5ea7749a5 | 2,648 |
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 |
import math
def get_weak_model(op, diff_type, nonzero2nonzero_weight, zero2zero_weight=0,
zero2nonzero_weight=math.inf, nonzero2zero_weight=math.inf, precision=0):
"""Return the weak model of the given bit-vector operation ``op``.
Given the `Operation` ``op``, return the
`WeakModel` of... | be34db3112ff7788bb96e6d6cc467d4d98d8af51 | 2,661 |
def get_temp():
"""
読み込んだ温度を返す
"""
return sensor.t | a4c7ed616af202599581cd47be87cb10ea571947 | 2,662 |
def load_clean_yield_data(yield_data_filepath):
"""
Cleans the yield data by making sure any Nan values in the columns we care about
are removed
"""
important_columns = ["Year", "State ANSI", "County ANSI", "Value"]
yield_data = pd.read_csv(yield_data_filepath).dropna(
subset=important_c... | 14c5facc947d1ff8bcc7714447e9da3b7842bcee | 2,663 |
def create_element_mapping(repnames_bedfile):
"""Create a mapping of the element names to their classes and families"""
elem_key = defaultdict(lambda : defaultdict(str))
with open(repnames_bedfile, "r") as bed:
for line in bed:
l = line.strip().split("\t")
name = l[3]
... | d3bc0491625d318b8f049c71a10571c21caf03d8 | 2,664 |
def _get_CRABI_iterators(captcha_dataframe,
train_indices,
validation_indices,
batch_size,
image_height,
image_width,
character_length,
catego... | 7e01586f359860b5d1e461e9612b164e6cf9365f | 2,665 |
import uuid
def run(request, context):
"""Creates a template.
Args:
request (orchestrate_pb2.CreateTemplateRequest): Request payload.
context: Context.
Returns:
A orchestrate_pb2.CreateTemplate with the status of the request.
"""
template = request.template
print('Orchestrate.CreateTemplate ... | 484de4399b23bbc71e35ad70b054c1a62c41952e | 2,666 |
def fit_2dgaussian(data, error=None, mask=None):
"""
Fit a 2D Gaussian to a 2D image.
Parameters
----------
data : array_like
The 2D array of the image.
error : array_like, optional
The 2D array of the 1-sigma errors of the input ``data``.
mask : array_like (bool), optiona... | 6ac3c7b7cba17baba719bd1d1fc87030f9c45dca | 2,667 |
from typing import List
from pathlib import Path
import os
def list_dir_files(path: str, suffix: str = "") -> List[str]:
"""
Lists all files (and only files) in a directory, or return [path] if path is a file itself.
:param path: Directory or a file
:param suffix: Optional suffix to match (case insens... | aaba7de5d5f67c5addc054010c5a2bd811475a3e | 2,668 |
def to_roman(number):
"""
Converts an arabic number within range from 1 to 4999 to the
corresponding roman number. Returns None on error conditions.
"""
try:
return roman.toRoman(number)
except (roman.NotIntegerError, roman.OutOfRangeError):
return None | 48fbe99caa527e711f8d0285577d96941a34b9c9 | 2,669 |
def GDAL_like(filename, fileout=""):
"""
GDAL_like
"""
BSx, BSy, Mb, Nb, M, N = 0,0, 0,0, 0,0
dataset1 = gdal.Open(filename, gdal.GA_ReadOnly)
dataset2 = None
if dataset1:
band1 = dataset1.GetRasterBand(1)
M, N = int(dataset1.RasterYSize), int(dataset1.RasterXSize)
B ... | 34d4ea83a7c7e1726aa1d5a4d89e16bbed50cdd1 | 2,670 |
def take_attendance(methodcnt):
"""global setup_bool
if (setup_bool == False or methodcnt == False):
print ("in if statement")
setup_bool = True
else:"""
print ("checking in - F.R.")
react_with_sound(attendance_final)
client.CheckIn()
return 2 | 0ecdf80e59de5d968f7adc042d6be369367f4195 | 2,671 |
def feature_selection(data, features):
"""
Choose which features to use for training.
:param data: preprocessed dataset
:param features: list of features to use
:return: data with selected features
"""
return data[features] | 6303e52a9c64acfbb5dcfd115b07b3bef2942821 | 2,672 |
def parse_docstring(docstring, line=0, filename='<string>', logger=None,
format_name=None, options=None):
# type: (str, int, Any, Optional[logging.Logger], Optional[str], Any) -> Tuple[OrderedDict[str, Arg], Optional[Arg]]
"""
Parse the passed docstring.
The OrderedDict holding pars... | 47cd0318f24ec1a26233ad6e98a398a4c9e95db6 | 2,673 |
def srCyrillicToLatin(cyrillic_text):
"""
Return a conversion of the given string from cyrillic to latin, using
'digraph' letters (this means that e.g. "nj" is encoded as one character). Unknown
letters remain unchanged.
CAVEAT: this will ONLY change letters from the cyrillic subset of Unicode.
For in... | cd4850b6c0bcf9b27aa1340dc98956c026e8f557 | 2,674 |
def from_phone(func=None):
"""来自手机的消息(给自己发的) FriendMsg"""
if func is None:
return from_phone
async def inner(ctx):
assert isinstance(ctx, FriendMsg)
if ctx.MsgType == MsgTypes.PhoneMsg:
return await func(ctx)
return None
return inner | 8e47e82e014d3d727a615e310997cd2c634ae821 | 2,675 |
from typing import Iterator
from typing import Tuple
from typing import List
from typing import Callable
import torch
import sys
def fit_and_validate_readout(data: Iterator[Tuple[Tensor, Tensor]], regularization_constants: List[float],
get_validation_error: Callable[[Tuple[Tensor, Tensor]... | d179e70aa53da0ff38ede9bbbf3fbe58b81c2886 | 2,676 |
import pathlib
def create_scan_message():
"""Creates a dummy message of type v3.asset.file to be used by the agent for testing purposes.
The files used is the EICAR Anti-Virus Test File.
"""
file_content = (pathlib.Path(__file__).parents[0] / 'files/malicious_dummy.com').read_bytes()
selector = 'v... | e899e705fc022046876dd2a1584e7db74c4b7105 | 2,677 |
def is_permutation_matrix( m ):
"""
Test whether a numpy array is a `permutation matrix`_.
.. _permutation_matrix: https://en.wikipedia.org/wiki/Permutation_matrix
Args:
m (mp.matrix): The matrix.
Returns:
(bool): True | False.
"""
m = np.asanyarray(m)
return (m.nd... | 7cfe48fd0cd36c4ff151ebe248c79e685ee99cc8 | 2,678 |
def create_security_role(connection, body, error_msg=None):
"""Create a new security role.
Args:
connection: MicroStrategy REST API connection object
body: JSON-formatted definition of the dataset. Generated by
`utils.formjson()`.
error_msg (string, optional): Custom Error M... | fbae3596e0cdcc430b2a7a30fc9ed594f3717ba3 | 2,679 |
def dbm_to_w(dbm):
"""Convert dBm to W."""
return 10 ** (dbm / 10.) * sc.milli | b6b782f35a3a07a2f372958363609b3b0f00a43a | 2,680 |
from operator import inv
def lml(alpha, beta, Phi, Y):
"""
4 marks
:param alpha: float
:param beta: float
:param Phi: array of shape (N, M)
:param Y: array of shape (N, 1)
:return: the log marginal likelihood, a scalar
"""
N = len(Phi)
M = len(Phi[0])
part1 = (-N*0.5)*np.l... | a6d17ed0f6c81958360687d5758cd8a35147dd56 | 2,681 |
from typing import Callable
from typing import Any
import os
def convert_env_var(var_name: str, *, cast_type: Callable[..., Any] = float, default: Any = None) -> Any:
"""
Attempts to read an environment variable value and cast it to a type. For example it permits
getting numeric value(s) from os.environ
... | 8b01cdca21f32aad2471946c39a2fc5962e316ef | 2,682 |
def balance_set(X, Y, adr_labels_size, nonadr_labels_size):
"""balances the set by doing up- and down -sampling to converge into the same class size
# Arguments
X - set samples
Y - set labels
adr_labels_size - ADR_MENTION_CLASS size
nonadr_labels_size - NON_ADR_MENTION_CLASS siz... | e73468dd600a9d6f9b13a46356110d35fba8ce59 | 2,683 |
from pathlib import Path
def load_det_lcia(result_dir, method, act_code, det_lcia_dict=None):
"""Return precalculated deterministic LCIA score"""
result_dir = Path(_check_result_dir(result_dir))
method = _check_method(method)
if not det_lcia_dict:
det_lcia_dict = _get_det_lcia_dict(result_dir,... | c9ba6532f674bcbe988cdc645b7dd86a93ed27e5 | 2,684 |
def get_geometry(location, geolevel):
"""
Get geometry of a single location code/name
"""
if not utils.is_number(location) and location != "BR":
assert geolevel, "You need to specify which geographic level this location is"
location = ibgetools.ibge_encode(location, geolevel)
if loca... | da53cfe7845c7adffbcbd941dc3f0b62bdb15e2f | 2,685 |
def render_to_string(template, context={}, processors=None):
"""
A function for template rendering adding useful variables to context
automatically, according to the CONTEXT_PROCESSORS settings.
"""
if processors is None:
processors = ()
else:
processors = tuple(processors)
for processor in get_st... | 678eab60113a05fba86591ee7bb47e26ecfb0b37 | 2,686 |
def find_node_names(structure):
""" Return the names of the nodes for the structure """
# Look through all of the items in the structure for names
# Check through each of the lists and sub-lists
names=set()
for i in xrange(len(structure)):
if isinstance(structure[i],basestring):
... | 812194e2d8dbd34741e9f03a6c775bb30f551341 | 2,687 |
import os
def run_calcs(run_id, year, no_ef_countries, export_data=True, include_TD_losses=True, BEV_lifetime=180000, ICEV_lifetime=180000, flowtrace_el=True, allocation=True, production_el_intensity=679, incl_ei=False, energy_sens=False):
"""Run all electricity mix and vehicle calculations and exports results.""... | 7bb80133ec3ee684c8db229f9f41940c994c3634 | 2,688 |
def handle_question():
"""Save response and redirect to next question."""
# get the response choice
choice = request.form['answer']
# add this response to the session
responses = session[RESPONSES_KEY]
responses.append(choice)
session[RESPONSES_KEY] = responses
if (len(responses) == l... | 184dc816303f48e134320f602126d381ee820b59 | 2,689 |
from typing import Callable
def makeNotePlayer(seq: Sequencer, out: PortInfo
) -> Callable[[int, bool], None]:
"""Returns a callable object that plays midi notes on a port."""
def playNote(note: int, enabled: bool) -> None:
if enabled:
seq.sendEvent(NoteOn(0, 0, note, 127), out)
... | 7cb9741944f6f71fbfd55b825c2c7e4638bfa317 | 2,690 |
def se_resnet152(**kwargs):
"""TODO: Add Doc"""
return _resnet("se_resnet152", **kwargs) | 52dd9fa145f6216519282633aa54e6e17802aaa9 | 2,691 |
import base64
def file_to_attachment(filename):
"""
Convert a file to attachment
"""
with open(filename, 'rb') as _file:
return {'_name':filename,
'content':base64.b64encode(_file.read())
} | 9b64fe8a4329eae000cd76d58450c32644a736f6 | 2,692 |
def ratio_selection(
strain_lst,
ratio_lst,
pressure_lst,
temperature_lst,
ratio_boundary,
debug_plot=True,
):
"""
Args:
strain_lst:
ratio_lst:
pressure_lst:
temperature_lst:
ratio_boundary:
debug_plot:
Returns:
"""
if debug_... | f4260649c50b33d9ee818ebdc0469d693720937d | 2,693 |
def diff_mean(rolling_window, axis=-1):
"""For M5 purposes, used on an object generated by the
rolling_window function. Returns the mean of the first
difference of a window of sales."""
return np.diff(rolling_window, axis=axis).mean(axis=axis) | 85294f16c89658eaca9562e1ff4652d5865a5a59 | 2,694 |
import numpy
def noiseFraction(truth_h5, measured_h5, tolerance):
"""
Return the fraction of measured localizations that are greater than
tolerance pixels from the nearest truth localization.
Note: This will return 0 if there are no measured localizations.
truth_h5 - A saH5Py.SAH5Py object with ... | 282e8c835906cf218e6eb1ef94cbb595419419f5 | 2,695 |
import os
def prepare(compute: dict, script_id: str):
"""Prepare the script
:param compute: The instance to be attacked.
:param script_id: The script's filename without the filename ending. Is named after the activity name.
:return: A tuple of the Command Id and the script content
"""
os_type ... | 547662decdc541ba398a273a91280ce9b60b2006 | 2,696 |
def compute_rigid_flow(depth, pose, intrinsics, reverse_pose=False):
"""Compute the rigid flow from target image plane to source image
Args:
depth: depth map of the target image [batch, height_t, width_t]
pose: target to source (or source to target if reverse_pose=True)
camera transformation matri... | 5b01bfb9768bc1f180b06f599e71c4808c945854 | 2,697 |
def get_versions(script_name):
""" 返回指定名称脚本含有的所有版本。"""
versions = repository.get(script_name, None)
if not versions:
return None
return sorted(versions, reverse=True) | 4399c5531bbf0d10f750d64ce3a63e156d62ba1b | 2,698 |
import os
def data_static(filename):
"""
Get files
:param filename:
:return:
"""
_p, _f = os.path.split(filename)
print(_p, _f)
return flask.send_from_directory(os.path.join(
'/Users/dmitryduev/_caltech/python/deep-asteroids/data-raw/', _p), _f) | ebaf91e16fc3f0a83da47c61723c62a03533fa1c | 2,699 |
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