content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def uncapitalize(string: str):
"""De-capitalize first character of string
E.g. 'How is Michael doing?' -> 'how is Michael doing?'
"""
if len(string):
return string[0].lower() + string[1:]
return "" | 1a294f171d16d7a4c41fb0546feca3c03b7ae37a | 7,300 |
import sqlite3
import os
def connect_db():
"""Connects to the specific database."""
rv = sqlite3.connect(os.path.join(config['database']))
rv.row_factory = sqlite3.Row
return rv | 1a3f3e6385500758b9b0cef8af2b15210697e3b5 | 7,301 |
def _sc_weights_trad(M, M_c, V, N, N0, custom_donor_pool, best_w_pen, verbose=0):
""" Traditional matrix solving. Requires making NxN0 matrices.
"""
#Potentially could be decomposed to not build NxN0 matrix, but the RidgeSolution works fine for that.
sc_weights = np.full((N,N0), 0.)
weight_log_inc =... | 00b9ae93b52453281693660fa6de685cd784127e | 7,302 |
import os
import argparse
def getargs():
"""Parse command line arguments"""
desc = (
"Analyze and query strace log given the strace log in CSV format "
"(STRACE_CSV). See 'strace2csv.py' for converting strace "
"log to the csv format expected by this tool."
)
epil = "Example: .... | 3d5b3132434ad0d74a633ee8bc5e231674571d7f | 7,303 |
from typing import Callable
from typing import Awaitable
def generate_on_message(
test_client: "DiscordTestClient", broker_id: int
) -> Callable[[discord.Message], Awaitable[None]]:
"""
Whenever a message comes in, we want our test client to:
1. Filter the message so we are only getting the ones ... | 2de510a3195f60056ad13c8fb1b9c71fe480b5ab | 7,304 |
import unittest
def test_suite():
"""
Construct a TestSuite instance for all test cases.
"""
suite = unittest.TestSuite()
for dt, format, expectation in TEST_CASES:
suite.addTest(create_testcase(dt, format, expectation))
return suite | 791e6942d213c53a44f433495e13a76abfc1f936 | 7,305 |
def calcScipionScore(modes):
"""Calculate the score from hybrid electron microscopy normal mode analysis (HEMNMA)
[CS14]_ as implemented in the Scipion continuousflex plugin [MH20]_. This score
prioritises modes as a function of mode number and collectivity order.
.. [CS14] Sorzano COS, de la Rosa-Tr... | e1c786bb90d6a7bc0367338f5e5bd6d10ec35366 | 7,306 |
def google_base(request):
""" view for Google Base Product feed template; returns XML response """
products = Product.active.all()
template = get_template("marketing/google_base.xml")
xml = template.render(Context(locals()))
return HttpResponse(xml, mimetype="text/xml") | a850e4c16f55486c872d0d581a25802d7de3c56e | 7,307 |
def get_agivenn_df(run_list, run_list_sep, **kwargs):
"""DF of mean amplitudes conditiontioned on differnet n values."""
n_simulate = kwargs.pop('n_simulate')
adfam_t = kwargs.pop('adfam_t', None)
adaptive = kwargs.pop('adaptive')
n_list = kwargs.pop('n_list', [1, 2, 3])
comb_vals, comb_val_res... | fe8fa42a3bc2e78ec1d5c5a7d47151d56789f5a5 | 7,308 |
def friendship_request_list_rejected(request, template_name='friendship/friend/requests_list.html'):
""" View rejected friendship requests """
# friendship_requests = Friend.objects.rejected_requests(request.user)
friendship_requests = FriendshipRequest.objects.filter(rejected__isnull=True)
return rend... | 2457de6e01bd4fee96d499a481a3c5a2cd0d1782 | 7,309 |
def cycle_ctgo(object_type, related_type, related_ids):
""" indirect relationships between Cycles and Objects mapped to CycleTask """
if object_type == "Cycle":
join_by_source_id = db.session.query(CycleTask.cycle_id) \
.join(Relationship, CycleTask.id == Relationship.source_id) \
.filter(
... | 25de449672ef9ced358a53762156f3cbeaabd432 | 7,310 |
def Min(axis=-1, keepdims=False):
"""Returns a layer that applies min along one tensor axis.
Args:
axis: Axis along which values are grouped for computing minimum.
keepdims: If `True`, keep the resulting size 1 axis as a separate tensor
axis; else, remove that axis.
"""
return Fn('Min', lambda ... | 09c83217b48f16782530c1954f3e4f0127c06e69 | 7,311 |
def sampling(args):
"""Reparameterization trick by sampling fr an isotropic unit Gaussian.
# Arguments
args (tensor): mean and log of variance of Q(z|X)
# Returns
z (tensor): sampled latent vector
"""
z_mean, z_log_var = args
batch = K.shape(z_mean)[0]
dim = K.int_shape(z_me... | 06e8ca16f1139e12242ee043aa680d5ce7c43c10 | 7,312 |
def get_expression_arg_names(expression, strip_dots=True):
"""
Parse expression and return set of all argument names. For arguments
with attribute-like syntax (e.g. materials), if `strip_dots` is
True, only base argument names are returned.
"""
args = ','.join(aux.args for aux in parse_definitio... | 6f96395af45b008e5e8b0336c320813a760add49 | 7,313 |
from pathlib import Path
def ORDER_CTIME(path: Path) -> int:
"""パスのソート用関数です。作成日時でソートを行います。
"""
return path.stat().st_ctime_ns | 435571222b26e0c83904305784d6c8868b5bf497 | 7,314 |
def format_location(data, year):
""" Format any spatial data. Does nothing yet.
Parameters
----------
data : pd.DataFrame
Data before location formatting.
Returns
-------
data : pd.DataFrame
Data with location formatting.
"""
# No spatial data yet so does nothing.
... | 11d5d7b88f3143b38dc57248937b5e19e22e44c8 | 7,315 |
from typing import Union
from typing import List
def deploy_ingestion_service(
featureset: Union[FeatureSet, str],
source: DataSource = None,
targets: List[DataTargetBase] = None,
name: str = None,
run_config: RunConfig = None,
):
"""Start real-time ingestion service using nuclio function
... | b1fb46c3900d70bf300a8acdf8045cf308be37ad | 7,316 |
def create_app(service: Service):
"""Start a small webserver with the Service."""
app = FastAPI()
@app.post("/query")
def query(params: Params):
"""The main query endpoint."""
return service.query(**params.query, n_neighbors=params.n_neighbors)
return app | 3d2f01960d3def11f45bbbbf653511d6f5362881 | 7,317 |
def establecer_dominio(func_dist: Expr) -> dict:
"""Establece el dominio a partir de una FD.
Parameters
----------
func_dist
Distribución de probabilidad
Returns
-------
dict
Dominio
"""
equations = func_dist.atoms(Eq)
orders = func_dist.atoms(Rel) - equations
... | 8ab1b4bc6518cb8baa300bd9f1d38ffff3dfbcf7 | 7,318 |
def random_init(n, max_norm):
"""Computes a random initial configuration of n 2D-vectors such that they all
are inside of a circle of radius max_norm
Parameters
----------
n : int
Number of vectors
max_norm : float or int
Radius of the circle or maximum possible distance from the ... | 5533e43572c47d8c8cd2d6765bb383382987015b | 7,319 |
from typing import Dict
from typing import Tuple
def calc_cells(serial: int) -> Dict[Tuple[int, int], int]:
"""Calculate the power for all cells
and store them in a dict to retrieve them faster later
"""
r = {}
for i in range(300):
for j in range(300):
r.update({(i, j): calc_po... | 70684827b5c3ef1ec31d419f3012356a9bde1e6c | 7,320 |
import os
def check_img(img, input_dir):
""" Checks whether the img complies with API`s restrictions.
Parameters
----------
img : str
Image name.
input_dir : str
Path to the dir with the image to check.
Returns
-------
Error message if image does not comply with A... | 1052554ac784c52c88830f07ba738c2feb6a79c1 | 7,321 |
from typing import Union
import pathlib
from typing import List
import glob
from pathlib import Path
def child_files_recursive(root: Union[str, pathlib.Path], ext: str) -> List[str]:
"""
Get all files with a specific extension nested under a root directory.
Parameters
----------
root : pathlib.Pa... | c16288b417d36d6d414c799c78fd59df976ca400 | 7,322 |
def ensure_dict(value):
"""Convert None to empty dict."""
if value is None:
return {}
return value | 191b1a469e66750171648e715501690b2814b8b2 | 7,323 |
import random
def mutSet(individual):
"""Mutation that pops or add an element."""
if random.random() < 0.5:
if len(individual) > 0: # We cannot pop from an empty set
individual.remove(random.choice(sorted(tuple(individual))))
else:
individual.add(random.randrange(param.NBR_ITE... | f9919da7f6612e3f317dbe854eda05a71d106632 | 7,324 |
def validate_tweet(tweet: str) -> bool:
"""It validates a tweet.
Args:
tweet (str): The text to tweet.
Raises:
ValueError: Raises if tweet length is more than 280 unicode characters.
Returns:
bool: True if validation holds.
"""
str_len = ((tweet).join(tweet)).count(twe... | 41c7ef1967cba5bb75ea8bce7ffa9b7d636ef80e | 7,325 |
def train_and_eval(model, model_dir, train_input_fn, eval_input_fn,
steps_per_epoch, epochs, eval_steps):
"""Train and evaluate."""
train_dataset = train_input_fn()
eval_dataset = eval_input_fn()
callbacks = get_callbacks(model, model_dir)
history = model.fit(
x=train_dataset,
... | 54a30f82ab3da4b60534a2775c2217de057ba93c | 7,326 |
import requests
import html
def open_website(url):
""" Open website and return a class ready to work on """
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36'
' (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'
}
page = req... | 081ed99692ff9763cb19208fdc7f3e7e08e03e8d | 7,327 |
import sys
def train():
"""Trains the model"""
if not request.is_json:
return jsonify(error='Request must be json'), 400
try:
frame = data_uri_to_cv2_img(request.json['frame'])
except: # pylint: disable=bare-except
e_type, value, _ = sys.exc_info()
print(e_type)
... | ce42f5751623dbf2da9544eab7ad98ea3cc67d51 | 7,328 |
def euclidean3d(v1, v2):
"""Faster implementation of euclidean distance for the 3D case."""
if not len(v1) == 3 and len(v2) == 3:
print("Vectors are not in 3D space. Returning None.")
return None
return np.sqrt((v1[0] - v2[0]) ** 2 + (v1[1] - v2[1]) ** 2 + (v1[2] - v2[2]) ** 2) | 89facc15567a7ed0138dee09ef1824ba40bb58a8 | 7,329 |
def blast_seqs(seqs,
blast_constructor,
blast_db=None,
blast_mat_root=None,
params={},
add_seq_names=True,
out_filename=None,
WorkingDir=None,
SuppressStderr=None,
Sup... | ce22f90fe3092a2c792478d7a4818d67fd13a753 | 7,330 |
def merge_dicts(dicts, handle_duplicate=None):
"""Merge a list of dictionaries.
Invoke handle_duplicate(key, val1, val2) when two dicts maps the
same key to different values val1 and val2, maybe logging the
duplication.
"""
if not dicts:
return {}
if len(dicts) == 1:
retur... | 44c06ab30bb76920ff08b5978a6aa271abd3e449 | 7,331 |
from datetime import datetime
def _timestamp(line: str) -> Timestamp:
"""Returns the report timestamp from the first line"""
start = line.find("GUIDANCE") + 11
text = line[start : start + 16].strip()
timestamp = datetime.strptime(text, r"%m/%d/%Y %H%M")
return Timestamp(text, timestamp.replace(tz... | 7e3083c6dec766fe681e82555daa59ba7f5166b5 | 7,332 |
def start_qpsworkers(languages, worker_hosts):
"""Starts QPS workers as background jobs."""
if not worker_hosts:
# run two workers locally (for each language)
workers=[(None, 10000), (None, 10010)]
elif len(worker_hosts) == 1:
# run two workers on the remote host (for each language)
workers=[(work... | 3b53693a292027fd82d808b6d609fb3276f1bc2a | 7,333 |
import os
def is_source_ext(filename):
"""
Tells if filename (filepath) is a source file. For our purposes "sources"
are any files that can #include and can be included.
"""
_, ext = os.path.splitext(filename)
return ext in [".h", ".hh", ".hpp", ".inc", ".c", ".cc", ".cxx", ".cpp", ".f", ".F"] | b388768191e3efbfe2ddf3925a3ebf9f3a6693ac | 7,334 |
def MCE(conf, pred, true, bin_size = 0.1):
"""
Maximal Calibration Error
Args:
conf (numpy.ndarray): list of confidences
pred (numpy.ndarray): list of predictions
true (numpy.ndarray): list of true labels
bin_size: (float): size of one bin (0,1) # TODO should convert t... | fb2390daeb8aed2f700994723884971198b613e8 | 7,335 |
def validate_frame_range(shots, start_time, end_time, sequence_time=False):
"""
Verify if the given frame range is overlapping existing shots timeline
range. If it is overlapping any shot tail, it redefine the start frame at
the end of it. If it is overlapping any shot head, it will push back all
sh... | d287ad393c80b899cfba3bac92ea9717918aed4a | 7,336 |
def sparse_add(sv1, sv2):
"""dict, dict -> dict
Returns a new dictionary that is the sum of the other two.
>>>sparse_add(sv1, sv2)
{0: 5, 1: 6, 2: 9}
"""
newdict = {}
keys = set(sv1.keys()) | set(sv2.keys())
for key in keys:
x = sv1.get(key, 0) + sv2.get(key, 0)
newdict... | ced3420a585084a246ad25f7686fb388f2c05542 | 7,337 |
def return_flagger(video_ID):
"""
In GET request
- Returns the username of the user that flagged the video with the corresponding video ID from the FLAGS table.
"""
if request.method == 'GET':
return str(db.get_flagger(video_ID)) | c8ca346b60ffa322847b5444c39dcbc43c66701a | 7,338 |
def get_all_hits():
"""Retrieves all hits.
"""
hits = [ i for i in get_connection().get_all_hits()]
pn = 1
total_pages = 1
while pn < total_pages:
pn = pn + 1
print "Request hits page %i" % pn
temp_hits = get_connection().get_all_hits(page_number=pn)
hits.extend(temp_hits)
return hits | 23f4da652d9e89dd0401ac4d8ccf2aa4f2660a5e | 7,339 |
import socket
def create_socket(
host: str = "", port: int = 14443, anidb_server: str = "", anidb_port: int = 0
) -> socket.socket:
"""Create a socket to be use to communicate with the server.
This function is called internally, so you only have to call it if you want to change the default parameters.
... | 6b8cc3aa19af4582dbdf96d781d8ae64399165cf | 7,340 |
def aten_eq(mapper, graph, node):
""" 构造判断数值是否相等的PaddleLayer。
TorchScript示例:
%125 : bool = aten::eq(%124, %123)
参数含义:
%125 (bool): 对比后结果。
%124 (-): 需对比的输入1。
%123 (-): 需对比的输入2。
"""
scope_name = mapper.normalize_scope_name(node)
output_name = mapper._get_output... | c08fc3120130e949cbba4e147888fabca38c89e3 | 7,341 |
from typing import Tuple
def _create_simple_tf1_conv_model(
use_variable_for_filter=False) -> Tuple[core.Tensor, core.Tensor]:
"""Creates a basic convolution model.
This is intended to be used for TF1 (graph mode) tests.
Args:
use_variable_for_filter: Setting this to `True` makes the filter for the
... | 21deebe2de004554a5bdc6559ecf6319947f8109 | 7,342 |
def plot_diversity_bootstrapped(diversity_df):
"""Plots the result of bootstrapped diversity"""
div_lines = (
alt.Chart()
.mark_line()
.encode(
x="year:O",
y=alt.Y("mean(score)", scale=alt.Scale(zero=False)),
color="parametre_set",
)
)
... | 8b91d1d6d1f7384dcbea6c398a9bde8dfb4aae39 | 7,343 |
def escape(s):
"""
Returns the given string with ampersands, quotes and carets encoded.
>>> escape('<b>oh hai</b>')
'<b>oh hai</b>'
>>> escape("Quote's Test")
'Quote's Test'
"""
mapping = (
('&', '&'),
('<', '<'),
('>', '>'),
(... | 2b4971c4e87e613cad457dde6d62806d299cdbcd | 7,344 |
def _get_db_columns_for_model(model):
"""
Return list of columns names for passed model.
"""
return [field.column for field in model._meta._fields()] | 181999f28ca659bf296bcb4dda7ac29ddfe61071 | 7,345 |
def get_UV(filename):
"""
Input: filename (including path)
Output: (wave_leftedges, wav_rightedges, surface radiance) in units of (nm, nm, photons/cm2/sec/nm)
"""
wav_leftedges, wav_rightedges, wav, toa_intensity, surface_flux, SS,surface_intensity, surface_intensity_diffuse, surface_intensity_direct=np.genfromtx... | cd514ee29ba3ac17cdfcb95c53d4b5df4f4cad80 | 7,346 |
import json
def load_chunks(chunk_file_location, chunk_ids):
"""Load patch paths from specified chunks in chunk file
Parameters
----------
chunks : list of int
The IDs of chunks to retrieve patch paths from
Returns
-------
list of str
Patch paths from the chunks
"""
... | c01ec6076141356ae6f3a1dc40add28638739359 | 7,347 |
import argparse
def set_arguments() -> argparse.Namespace:
"""Setting the arguments to run from CMD
:return: arguments
"""
# Adding main description
parser = argparse.ArgumentParser(
description=f'{m.__description__}',
epilog=f'{m.__copyright__}\n | Versioon: {m.__version__}')
... | 26d0d8efdb4bc13874c6ba8bb0cb7976ad000002 | 7,348 |
def get_model_input(batch, input_id=None):
"""
Get model input from batch
batch: batch of model input samples
"""
if isinstance(batch, dict) or isinstance(batch, list):
assert input_id is not None
return batch[input_id]
else:
return batch | 1b12ee86257bfbd5ab23404251bed39c0021f461 | 7,349 |
def issym(b3):
"""test if a list has equal number of positive
and negative values; zeros belong to both. """
npos = 0; nneg = 0
for item in b3:
if (item >= 0):
npos +=1
if (item <= 0):
nneg +=1
if (npos==nneg):
return True
else:
return False | e8cc57eec5bc9ef7f552ad32bd6518daa2882a3e | 7,350 |
def predictOneVsAll(all_theta, X):
"""will return a vector of predictions
for each example in the matrix X. Note that X contains the examples in
rows. all_theta is a matrix where the i-th row is a trained logistic
regression theta vector for the i-th class. You should set p to a vector
of values fro... | 32bf9d386ef84debe75781a52335588da360b269 | 7,351 |
from typing import Tuple
from typing import List
def lecture_produit(ligne : str) -> Tuple[str, int, float]:
"""Précondition : la ligne de texte décrit une commande de produit.
Renvoie la commande produit (nom, quantité, prix unitaire).
"""
lmots : List[str] = decoupage_mots(ligne)
nom_produit : s... | 355721522b9711f9bc206f4ab63af6121ef9b3d0 | 7,352 |
def affinity_matrix(test_specs):
"""Generate a random user/item affinity matrix. By increasing the likehood of 0 elements we simulate
a typical recommending situation where the input matrix is highly sparse.
Args:
users (int): number of users (rows).
items (int): number of items (columns).
... | 8e033d230cbc8c21d6058bcada14aca9fb1d7e68 | 7,353 |
def get_wm_desktop(window):
"""
Get the desktop index of the window.
:param window: A window identifier.
:return: The window's virtual desktop index.
:rtype: util.PropertyCookieSingle (CARDINAL/32)
"""
return util.PropertyCookieSingle(util.get_property(window,
... | 050fe4a97a69317ba875aa59b3bf4144b9e2f83c | 7,354 |
def get_parents(tech_id, model_config):
"""
Returns the full inheritance tree from which ``tech`` descends,
ending with its base technology group.
To get the base technology group,
use ``get_parents(...)[-1]``.
Parameters
----------
tech : str
model_config : AttrDict
"""
... | 7220a57b770232e335001a0dab74ca2d8197ddfa | 7,355 |
from chaoslib.activity import run_activity
def load_dynamic_configuration(
config: Configuration, secrets: Secrets = None
) -> Configuration:
"""
This is for loading a dynamic configuration if exists.
The dynamic config is a regular activity (probe) in the configuration
section. If there's a use-c... | aaeac23c0700c00c5b7946e010299fe5b2e74d82 | 7,356 |
import sys
import copy
import io
def main(argv=None):
"""Main function: Parse, process, print"""
if argv is None:
argv = sys.argv
args = parse_args(argv)
if not args:
exit(1)
original_tags = copy.deepcopy(tags.load(args["config"]))
with io.open(args["src"], "r", encoding="utf-8... | 0aae5e3ab5d92de2b2fd2306645696733e81de38 | 7,357 |
import hashlib
import urllib
def profile_avatar(user, size=200):
"""Return a URL to the user's avatar."""
try: # This is mostly for tests.
profile = user.profile
except (Profile.DoesNotExist, AttributeError):
avatar = settings.STATIC_URL + settings.DEFAULT_AVATAR
profile = None
... | a810af7f7abb4a5436a2deed8c4e1069aa5d504c | 7,358 |
import sys
def szz_reverse_blame(ss_path, sha_to_blame_on, buggy_line_num, buggy_file_path_in_ss, buggy_SHA):
"""Reverse-blames `buggy_line_num` (added in `buggy_SHA`) onto `sha_to_blame_on`."""
ss_repo = Repo(ss_path)
ss_name = pathLeaf(ss_path)
try:
# If buggy_SHA equals sha_to_blame_on, th... | abfefc8b3a02b4d3e63d151ab7213321b8b43d62 | 7,359 |
import tqdm
def union(graphs, use_tqdm: bool = False):
"""Take the union over a collection of graphs into a new graph.
Assumes iterator is longer than 2, but not infinite.
:param iter[BELGraph] graphs: An iterator over BEL graphs. Can't be infinite.
:param use_tqdm: Should a progress bar be displaye... | 8ea9bae0386c497a5fe31c8bd44099ee450b2b2a | 7,360 |
def get_month_n_days_from_cumulative(monthly_cumulative_days):
"""
Transform consecutive number of days in monthly data to actual number of days.
EnergyPlus monthly results report a total consecutive number of days for each day.
Raw data reports table as 31, 59..., this function calculates and returns
... | 5ede033023d357a60ba5eb7e9926325d24b986e8 | 7,361 |
def get_text(name):
"""Returns some text"""
return "Hello " + name | bff30de2184c84f6ed1c4c1831ed9fd782f479c9 | 7,362 |
import re
def apply_template(assets):
"""
Processes the template.
Used for overwrite ``docutils.writers._html_base.Writer.apply_template``
method.
``apply_template(<assets>)``
``assets`` (dictionary)
Assets to add at the template, see ``ntdocutils.writer.Writer.assets``.
returns
... | 51042e25f701935d668d91a923155813ce60b381 | 7,363 |
def harvest(post):
"""
Filter the post data for just the funding allocation formset data.
"""
data = {k: post[k] for k in post if k.startswith("fundingallocation")}
return data | 67f400caf87f2accab30cb3c519e7014792c84d7 | 7,364 |
import os
from sys import flags
def get_credentials():
"""Gets valid user credentials from storage.
If nothing has been stored, or if the stored credentials are invalid,
the OAuth2 flow is completed to obtain the new credentials.
Returns:
Credentials, the obtained credential.
"""
hom... | b786fef63c51380b543f04aa6c7fd91b3ede03d3 | 7,365 |
def model2(x, input_size, output_size):
"""! Fully connected model [InSize]x800x[OutSize]
Implementation of a [InSize]x800x[OutSize] fully connected model.
Parameters
----------
@param x : placeholder for input data
@param input_size : size of input data
@param output_size : size of output data
Returns... | 74a7f9129865e1d2b6cbfe767c7f218d53ee50e1 | 7,366 |
def cut_bin_depths(
dataset: xr.Dataset,
depth_range: tp.Union[int, float, list] = None
) -> xr.Dataset:
"""
Return dataset with cut bin depths if the depth_range are not outside the depth span.
Parameters
----------
dataset :
depth_range :
min or (min, max) to be include... | ab4561711d118dc620100bec5e159dc4b7a29f92 | 7,367 |
def create_edgelist(file, df):
"""
creates an edgelist based on genre info
"""
# load edges from the (sub)genres themselves
df1 = (pd
.read_csv(file,
dtype='str'))
# get edges from the book descriptions df
df2 = (df[['title',
'subclass']]
... | 9cfba48eca977e8b2e3217078bd6d112c465ea23 | 7,368 |
def CodeRange(code1, code2):
"""
CodeRange(code1, code2) is an RE which matches any character
with a code |c| in the range |code1| <= |c| < |code2|.
"""
if code1 <= nl_code < code2:
return Alt(RawCodeRange(code1, nl_code),
RawNewline,
... | c63213c63d96361451e441cf6923015238dae8f8 | 7,369 |
def sort_by_date(data):
"""
The sort_by_date function sorts the lists by their datetime
object
:param data: the list of lists containing parsed UA data
:return: the sorted date list of lists
"""
# Supply the reverse option to sort by descending order
return [x[0:6:4] for x in sorted(data, k... | f8d18b80404edcf141a56f47938ea09531d30df7 | 7,370 |
def get_menu_option():
"""
Function to display menu options and asking the user to choose one.
"""
print("1. View their next 5 fixtures...")
print("2. View their last 5 fixtures...")
print("3. View their entire current season...")
print("4. View their position in the table...")
print("... | 69e71555d9896d0c462b2e7b542ec87aea9213eb | 7,371 |
def pdf(mu_no):
""" the probability distribution function which the number of fibers per MU should follow """
return pdf_unscaled(mu_no) / scaling_factor_pdf | 2d6fd461d12da6b00bbf20de7a7be7d61112014c | 7,372 |
import requests
def get_weather_by_key(key):
"""
Returns weather information for a given database key
Args:
key (string) -- database key for weather information
Returns:
None or Dict
"""
url = "%s/weather/%s.json" % (settings.FIREBASE_URL, key)
r = requests.get(url)
if r.sta... | 8ab3bfa6b5924b726fef9a9c0b8bd9d47cf9dfc8 | 7,373 |
import warnings
def source_receiver_midpoints(survey, **kwargs):
"""
Calculate source receiver midpoints.
Input:
:param SimPEG.electromagnetics.static.resistivity.Survey survey: DC survey object
Output:
:return numpy.ndarray midx: midpoints x location
:return nump... | adec937949a4293d35c7a57aad7125f2e1113794 | 7,374 |
import copy
def fix_source_scale(
transformer, output_std: float = 1, n_samples: int = 1000, use_copy: bool = True,
) -> float:
""" Adjust the scale for a data source to fix the output variance of a
transformer.
The transformer's data source must have a `scale` parameter.
Parameters
--------... | bf2dc0690732ce7677a484afee75fa7701b3d0e8 | 7,375 |
def samplePinDuringCapture(f, pin, clock):
"""\
Configure Arduino to enable sampling of a particular light sensor or audio
signal input pin. Only enabled pins are read when capture() is subsequently called.
:param f: file handle for the serial connection to the Arduino Due
:param pin: The pin to en... | 246dc76eb07b9240439befdffdc3f31376647a64 | 7,376 |
def year_filter(year = None):
"""
Determine whether the input year is single value or not
Parameters
----------
year :
The input year
Returns
-------
boolean
whether the inputed year is a single value - True
"""
if year[0] == year[1]:
single_year ... | 35868a72196015c20517179dc89cd65b5601e969 | 7,377 |
def distance(p1, p2):
"""
Return the Euclidean distance between two QPointF objects.
Euclidean distance function in 2D using Pythagoras Theorem and linear algebra
objects. QPointF and QVector2D member functions.
"""
if not (isinstance(p1, QPointF) and isinstance(p2, QPointF)):
... | 2e8b2d8fcbb05b24798c8507bef8a32b8b9468f3 | 7,378 |
import math
import numpy
def make_primarybeammap(gps, delays, frequency, model, extension='png',
plottype='beamsky', figsize=14, directory=None, resolution=1000, zenithnorm=True,
b_add_sources=False):
"""
"""
print("Output beam file resolution = %d , output ... | 371a29412b52b27c69193bed1e945eeed6a988d7 | 7,379 |
import json
def view_page(request, content_id=None):
"""Displays the content in a more detailed way"""
if request.method == "GET":
if content_id:
if content_id.isdigit():
try:
# Get the contents details
content_data = Content.objects.get(pk=int(content_id))
content_data.fire = int(conte... | 11908d7d0f75377485022ab87a93e7f27b2b626d | 7,380 |
def run_feat_model(fsf_file):
""" runs FSL's feat_model which uses the fsf file to generate
files necessary to run film_gls to fit design matrix to timeseries"""
clean_fsf = fsf_file.strip('.fsf')
cmd = 'feat_model %s'%(clean_fsf)
out = CommandLine(cmd).run()
if not out.runtime.returncode == 0:
... | 4b033ff1aceb60cdf0c39ebfbefc0841dc4df507 | 7,381 |
def exportDSV(input, delimiter = ',', textQualifier = '"', quoteall = 0, newline = '\n'):
"""
PROTOTYPE:
exportDSV(input, delimiter = ',', textQualifier = '\"', quoteall = 0)
DESCRIPTION:
Exports to DSV (delimiter-separated values) format.
ARGUMENTS:
- input is list of lists of data (a... | 28075667459e872ec0713efb834a9c3aa1dc620e | 7,382 |
def DatasetSplit(X, y):
#Creating the test set and validation set.
# separating the target
""" To create the validation set, we need to make sure that the distribution of each class is similar
in both training and validation sets. stratify = y (which is the class or tags of each frame) keeps
... | 15c9d6acf51f6535bbd4396be83752b98c6a1fa0 | 7,383 |
def parse_children(root):
"""
:param root: root tags of .xml file
"""
attrib_list = set()
for child in root:
text = child.text
if text:
text = text.strip(' \n\t\r')
attrib_list = attrib_list | get_words_with_point(text)
attrib_list = attrib_list | pars... | 5062b39775bdb1b788fa7b324de108367421f743 | 7,384 |
def load_data(ETF):
"""
Function to load the ETF data from a file, remove NaN values and set the Date column as index.
...
Attributes
----------
ETF : filepath
"""
data = pd.read_csv(ETF, usecols=[0,4], parse_dates=[0], header=0)
data.dropna(subset = ['Close', 'Date'... | 84b4c20c7d74c7e028e62b0147662e9a54311148 | 7,385 |
def preprocess_LLIL_GOTO(bv, llil_instruction):
""" Replaces integer addresses of llil instructions with hex addresses of assembly """
func = get_function_at(bv, llil_instruction.address)
# We have to use the lifted IL since the LLIL ignores comparisons and tests
lifted_instruction = list(
[k fo... | 656b6088816779395a84d32fe77e28866618b9ff | 7,386 |
import json
async def get_limited_f_result(request, task_id):
"""
This endpoint accepts the task_id and returns the result if ready.
"""
task_result = AsyncResult(task_id)
result = {
"task_id": task_id,
"task_status": task_result.status,
"task_result": task_result.result
... | e459d1963e2de829802927e3265b41bbe4da6bfe | 7,387 |
def process_addr():
"""Process the bridge IP address/hostname."""
server_addr = request.form.get('server_addr')
session['server_addr'] = server_addr
try:
leap_response = get_ca_cert(server_addr)
session['leap_version'] = leap_response['Body'] \
['PingRe... | 109d3e0652caa5e06fe00702f43640304c30323d | 7,388 |
import requests
import json
from datetime import datetime
import time
def get_bkk_list(request):
"""板块课（通识选修课）"""
myconfig = Config.objects.all().first()
year = (myconfig.nChoose)[0:4]
term = (myconfig.nChoose)[4:]
if term == "1":
term = "3"
elif term == "2":
term = "12"
if... | 03010646ce1e83f644f9bf44b8dcb4e5b8355e52 | 7,389 |
import calendar
def mkmonth(year, month, dates, groups):
"""Make an array of data for the year and month given.
"""
cal = calendar.monthcalendar(int(year), month)
for row in cal:
for index in range(len(row)):
day = row[index]
if day == 0:
row[index] = N... | 71298d60e852e6045b4ab5c45c2f371ae7049808 | 7,390 |
def is_extension(step_str):
"""Return true if step_str is an extension or Any.
Args:
step_str: the string to evaluate
Returns:
True if step_str is an extension
Raises:
ValueError: if step_str is not a valid step.
"""
if not is_valid_step(step_str):
raise ValueError('Not a valid step in a p... | a3b30e238b3b8c42b645d18ae370dea501d1f389 | 7,391 |
def diff_list(first, second):
"""
Get difference of lists.
"""
second = set(second)
return [item for item in first if item not in second] | 19975990b5a05433266b3258cd541cca54ab83ac | 7,392 |
from typing import Optional
def validate_dissolution_statement_type(filing_json, legal_type) -> Optional[list]:
"""Validate dissolution statement type of the filing."""
msg = []
dissolution_stmt_type_path = '/filing/dissolution/dissolutionStatementType'
dissolution_stmt_type = get_str(filing_json, dis... | 868c9f0d6b229c303462a4dee7df16f27cd58898 | 7,393 |
import argparse
def parse_args():
"""Parse command-line arguments."""
parser = argparse.ArgumentParser(
usage='%(prog)s [options] <target path> <image> [image] ...')
parser.add_argument(
'-c', '--captions',
dest='captions',
action='store_true',
default=False,
... | 87b2d65edb10647eb2b292819cc411f2d82cd2a0 | 7,394 |
from typing import List
def weave(left: List[int], right: List[int]) -> List[List[int]]:
""" Gives all possible combinations of left and right
keeping the original order on left and right """
if not left or not right:
return [left] if left else [right]
left_result: List[List[int]] = weave_helper(left, right)
... | 9a9717e43337802e6cef87a37b7d8d01493ebc8a | 7,395 |
import torch
def compute_rel_attn_value(p_attn, rel_mat, emb, ignore_zero=True):
"""
Compute a part of *attention weight application* and *query-value product*
in generalized RPE.
(See eq. (10) - (11) in the MuseBERT paper.)
Specifically,
- We use distributive law on eq. (11). The function com... | a39ca9d5933bc334648994fc5211355a496f8126 | 7,396 |
import sys
import os
def check_input(args):
"""Checks whether to read from stdin/file and validates user input/options.
"""
# Defaults
option = None
fh = sys.stdin # file handle
if not len(args):
# Reading from pipe with default option
if sys.stdin.isatty():
sys.... | 23d2ca78c7bad056c686ac9d82c5800220a3f351 | 7,397 |
def mock_real_galaxy():
"""Mock real galaxy."""
dm = np.loadtxt(TEST_DATA_REAL_PATH / "dark.dat")
s = np.loadtxt(TEST_DATA_REAL_PATH / "star.dat")
g = np.loadtxt(TEST_DATA_REAL_PATH / "gas_.dat")
gal = core.Galaxy(
m_s=s[:, 0] * 1e10 * u.M_sun,
x_s=s[:, 1] * u.kpc,
y_s=s[:, 2... | 7dda66bccb5fcecbe55bd0f3ecb64171748947a6 | 7,398 |
def lend(request):
"""
Lend view.
It receives the data from the lend form, process and validates it,
and reloads the page if everything is OK
Args:
- request (HttpRequest): the request
Returns:
"""
logged_user = get_logged_user(request)
if logged_user is not None and logged_user.user_r... | 59fdf04eafc1772b8ef880a1340af57739a71d25 | 7,399 |
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