content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def converting_reactions(base):
"""Provide a model with a couple of converting reaction."""
a = cobra.Metabolite("atp_c", compartment="c")
b = cobra.Metabolite("adp_c", compartment="c")
c = cobra.Metabolite("gtp_c", compartment="c")
c2 = cobra.Metabolite("gtp_e", compartment="e")
c3 = cobra.Meta... | a6a4a158dd577031a613a6c70edfb266120aaf1d | 3,600,112 |
def test_compile_too_high_bitwidth(default_compilation_configuration):
"""Check that the check of maximal bitwidth of intermediate data works fine."""
def function(x, y):
return x + y
function_parameters = {
"x": EncryptedScalar(Integer(64, False)),
"y": EncryptedScalar(Integer(64,... | 62612b65e62fdea6b0b78a30848d9dc4251a4672 | 3,600,113 |
def reshape(x, shape, name=None):
"""
This operator changes the shape of ``x`` without changing its data.
Some tricks exist when specifying the target shape.
1. -1 means the value of this dimension is inferred from the total element
number of x and remaining dimensions. Thus one and only one dimen... | 4c757d9e8d5bf649b64012dc169d349e138fc5e4 | 3,600,114 |
def calc_albedo_snow(ts, snow, dc=11.0, tc=21.9, a_ice=0.34, a_freshsnow=0.9, a_firn=0.53, **config):
"""
! albedo calculated using 'time' - based on time since last snowfall(Oerlemans + Knap 1998)
! albedo = albedo output grid
! ts = time(days) since last snowfall
! snow = gr... | d29d2402e67db90afd541f358bdc8c1134a5da07 | 3,600,115 |
def normalise(X):
"""
here I mean make max 1 and min 0 and fit everything else in.
should be by feature.
X is np array
returns X shame shape but normalised by feature.
"""
n,p = X.shape
for column in range(p):
X[:,column] = ((X[:,column] - np.max(X[:,column])) / (np.max(X[:,colum... | 420696d9cbe689db2fdc60ba00acf248b6980038 | 3,600,116 |
import ctypes
def unpack_udp_packet(packet: bytes) -> PackedLittleEndianStructure:
"""Convert raw UDP packet to an appropriately-typed telemetry packet.
Args:
packet: the contents of the UDP packet to be unpacked.
Returns:
The decoded packet structure.
Raises:
UnpackError if... | 8b5d9416d4c922716e2d76116487ef1e800e5a18 | 3,600,117 |
import multiprocessing
import concurrent
import tqdm
def Run(lines):
"""
Method runs the translation of graphs from g6 to lgi.
Input:
lines -- List with lines in g6-format
Return:
List with lines in lgi-format.
"""
num_in = len(lines)
num_processes = multiprocessing.cpu_count()
... | 469a2073c94108906e894b7afa5ca671a8cfbfec | 3,600,118 |
import warnings
def test_deprecate(deprecation_increment: int | None, details: str | None) -> None:
"""
Test the deprecation warnings/errors.
If the removal_version is larger than the current, it should warn.
If the removal_version is smaller or equal, it should raise an error.
:param deprecatio... | 43de52dddf41567d32a955ce15d6c52dff3e90dc | 3,600,119 |
from scipy import signal
def get_deimos_spec1d(fn, horne=False, smoothing=False, fixfile=True):
"""
Gets a reduced DEIMOS spec1d file's contents
Parameters
----------
fn : str
The spec1d file to load
horne : bool
If True, use the horne extraction, otherwise boxcar
smoothin... | 9a0248c838a61e582c8add51735e7042ac7e60f9 | 3,600,120 |
def edit_gallery(request, gallery_id):
""" Edit an image in the gallery """
if not request.user.is_superuser:
# Only superusers can edit products
messages.error(request, 'Sorry, only store owners can do that.')
return redirect(reverse('home'))
gallery = get_object_or_404(Gallery, pk... | 7681a512cfdd01c7de284a91c5d61e7294aeca34 | 3,600,121 |
def getItemUrlFromHasOfferUrl(has_offer_url):
"""
http://ho.lazada.vn/SH3gPd?url=http%3A%2F%2Fwww.lazada.vn%2Festar-ce390a-muc-in-laser-90a-den-238124.html%3Foffer_id%3D%7Boffer_id%7D%26affiliate_id%3D%7Baffiliate_id%7D%26offer_name%3D%7Boffer_name%7D_%7Boffer_file_id%7D%26affiliate_name%3D%7Baffiliate_name%7D%... | dd820521e8d1307f2f2570841a8fae62e4d59ae7 | 3,600,122 |
from operator import concat
def ppipe(iterable, func, chunk_size=1):
"""Multi-core pipe."""
out = pmap(func, iterable, chunk_size)
return list(concat(out)) | c1b24b6305e64a0b3ec548d1154a1cc637cde053 | 3,600,125 |
def gourgou(c,R=1):
""" renvoie une fonction qui
donne t en fonction de r dans une métrique de E. Gourgoulhon
où la particule commence à la position c
et atteint un horizon des évènements en R
"""
return (lambda r : c - r/R - np.log(abs(r/R))) | deb52b7e7e8f5bb66ada52096ca4275f85ea1953 | 3,600,126 |
from typing import Dict
from pathlib import Path
def train(
dataset: Dict[str, pd.DataFrame], params: str, dataset_name: str = "winequality"
) -> None:
"""Train a model and save it to disk
Args:
dataset (Dict[str, pd.DataFrame]): The train and test sets.
params (Dict[str, object]): The pa... | 1c8906bdf10e2142d91dab99f758c0fe708c5c2a | 3,600,127 |
def int_type(attribute: str):
"""
Auto-adds an ``__int__`` using the ``__int__`` of some attribute.
Used to annotate a class as being "essentially an integer".
Args:
attribute: The name of the attribute of this class
"""
def __f(self):
return float(getattr(self, attribute))
... | b58b81fb9a3201b56435a54d178aec456fce2cf0 | 3,600,128 |
import re
import hashlib
def auth(i):
"""
Input: {
(web_vars_post)
(web_vars_get)
(web_vars_session)
}
Output: {
return - return code = 0, if successful
> 0, if error
(error... | 2ab5cf59a93c2926a1f3dcc92d9886a4b8d91b9c | 3,600,131 |
def two_factor_setup():
"""View function for two-factor setup.
This is used both for GET to fetch forms and POST to actually set configuration
(and send token).
There are 3 cases for setting up:
1) initial login and application requires 2FA
2) changing existing 2FA information
3) user want... | 79832821d006e94dac5b4a04350750a9f1086e76 | 3,600,133 |
def newDirectory(parent, path, name = None, owned=False, define=False):
"""
Creates a new Directory location
:type parent: location
:param parent: parent location
:type path: string
:param path: the path for this directory (name of directory)
:type name: string
:param nam... | 3cf16f1256c8af79ef242d2e5fb7703f4f2ef91c | 3,600,134 |
import logging
def evaluate_sensitivity (dataset,subgroup,targetColumn):
"""Returns the Sensitivity of a subgroup."""
#Get confusion matrix
cf = confusion_matrix(dataset,subgroup,targetColumn)
#Calculate sensitivity
sensitivity = cf[0][0] / (cf[0][0] + cf [0][1])
logging.info('Sensitivity... | c0e687f26712458619a5508d45a91bcc5c949030 | 3,600,136 |
import urllib
import json
def boshio_release_to_source(resource):
"""Look up the github source for a given bosh release
Args:
resource (dict): A bosh-io-release resource from a concourse pipeline
Returns:
tuple(str, str): The url to the repo, and the branch
"""
bosh_api_url = "h... | d9f40fcb56d9b3f08e570f38d519390f91789d26 | 3,600,137 |
def string_empty(string):
"""Return True if the input string is None or whitespace."""
return (string is None) or not (string and string.strip()) | fddb1e639a57b29674ce6d0a101e875272731d77 | 3,600,138 |
from nautilus import models
def MockModel(name='TestModel'):
"""
This function returns a nautilus model to use throughout the test suite.
"""
# local imports
# return the mocked model
return type(name, (models.BaseModel,), {
'name': models.fields.CharField(null=True),
'da... | ebfa5aa5e8624ed75137b15a04330a4efe26e226 | 3,600,139 |
import itertools
def get_hoi_dataset_dicts(dataset_names, filter_empty=True):
"""
Load and prepare dataset dicts for HOI detection.
Args:
dataset_names (list[str]): a list of dataset names
filter_empty (bool): whether to filter out images without instance annotations
min_keypoints... | db6006f9360a00db5437346f57df0bcde84b856f | 3,600,140 |
def memoize(user_function):
"""Memoization decorator for user function of 1+ parameters"""
class Memodict(dict):
"""Memoization performs user function call on dict miss"""
def __getitem__(self, *key):
return dict.__getitem__(self, key)
def __missing__(self, key):
... | e8f59f5e4460e332ff88bb235a6d8beb31065de2 | 3,600,141 |
import google.auth.compute_engine as google_auth_gce
def IsGceAccountCredentials(cred):
"""Checks if the credential is a Compute Engine service account credential."""
# Import only when necessary to decrease the startup time. Move it to
# global once google-auth is ready to replace oauth2client.
# pylint: dis... | 2b3b4331d5dbdc7c2dc9b049376386803d87c70c | 3,600,142 |
import urllib
def google_search(query, resultsToRetrieve, userAgent, sleepDelay=1):
"""
perform google search and handle exceptions
"""
try:
search_results = search(query, stop=resultsToRetrieve, user_agent=get_random_user_agent())
#search_results = ["test result 1","test result 2"]
if search_results != Non... | b51b1f6deaac6449ab19ca29b470897704dab982 | 3,600,143 |
def Dic_Test_Empty_Dic(indic):
"""
check if indic is a (nested) empty dictionary.
"""
if indic.keys()!=[]:
for key,keydata in indic.items():
if isinstance(keydata,dict):
if keydata=={}:
pass
else:
return Dic_Test... | 360e9190fd6ab23fb1d8b4d948647baed494f417 | 3,600,144 |
def _new_package_name(src,volume,src_chimera_file):
"""
return package file name src=/pnfs_path/<old_volume>/<package> to /pnfs_path/<volume>/<package>
@type src: str
@param src: source package full path
@type volume: str
@param volume: destination volume name
... | 5078ddc562d1af65db4ef4277c8121c7e7abccd7 | 3,600,145 |
def session_factory(connection):
""" pytest対象モジュールの引数に"session_factory"を指定すると、
このfixtureが実行され、データベースの初期化を行った上でSQLAlchemyのscoped_sessionを返します。
1つのモジュール内(pyファイル)から複数回使用された場合でも、データベースの初期化処理が行われるのは
各モジュールあたり最初の一回だけです。
"""
engine = create_engine(connection)
session_factory = sessionmaker(bind=eng... | 296d153f72a5eadf93c46015f36c1533c78c9b0a | 3,600,146 |
def choose_OD(pos_OD, OD_no):
"""Chooses nodes for OD matrix according to their population size stochastically and probabilistically
Args:
pos_OD (list): a list of tuples representing the nodes and their population
OD_no (int): Number of OD pairs to create
Returns:
OD_nodes [list]... | 4df8f454eb436340d818fdd3923ebab3fac2f7bb | 3,600,147 |
def nplml(theta, X, y, kernel, nugget=1e-10):
"""Compute the log marginal likelihood using numpy default solve (slower than cholesky)"""
kernel_clone = kernel.clone_with_theta(theta)
K = kernel_clone(X)
K[np.diag_indices_from(K)] += nugget
alpha = npsolve(K, y)
# Compute log-likelihood (compare ... | 6fc5a6a662138218dcb2ba64bd6c41a1f74e08de | 3,600,148 |
def group_pairs(pairs, ret_dict=True):
"""
Taken from first example in https://docs.python.org/3/library/collections.html#defaultdict-examples
:param ret_dict:
:param pairs:
:return:
"""
groups_dict = defaultdict(list)
for key, val in pairs:
groups_dict[key].append(val)
if r... | 93837dfb583d35547ae9baa8d9618186b2465606 | 3,600,149 |
def start_day_accept_order():
"""
Получает день недели (0 - 7) с которого разрешён приём заказов.
Переносит разрешаемый день на 1 один день вперёд,
если текущее время больше, чем разрешённое для совершения заказа.
Returns:
int: `0 - 7`, то есть от понедельника до следующего понедельника.
... | a85487952c9ae65803507adcfaf86da98e9a34d8 | 3,600,150 |
def load_and_resize_image(img_path):
""" Creates a tkinter image variable that can be displayed on GUI
This function receives a filename as a parameter. This should be the
name of a file containing a digital image. The file is first open
and stored as a Pillow image file. It uses the Image.size prope... | d3cba268b50a1f4e439f251ae11f27213f9f122b | 3,600,152 |
def peak_assignment(unknownhdf5_filename, key, knownhdf5_filename,
external_peak_labels,
precision=10, externallabelinput=True,
plot=True):
"""
This function is a wrapper function from which all classification
of peaks occurs.
Parame... | 43567b3065348116184a809cf7cccfc1b3ccdb65 | 3,600,155 |
import textwrap
def make_settings(pypirc):
"""Returns a factory function for settings.Settings with defaults."""
default_pypirc = """
[pypi]
username:foo
password:bar
"""
def _settings(pypirc_text=default_pypirc, **settings_kwargs):
pypirc.write(textwrap.dedent(pypirc... | 48a694173a1fe97b621909525bf2681e08140bcb | 3,600,156 |
def kernels(ell, cs, eig, D, A, G=DEFAULT_G,
alpha=None):
"""Returns the density and squared sound speed kernels. I have tried
to make this as notationally similar to Gough & Thompson (1991) as
possible. The kernels are normalized to have unit integrals over
the radius *r*.
Parameters
... | d73a243a1e866cb28afc77af777648292c530fcb | 3,600,157 |
def zonal_levels_trend(ds):
""" calculated trend for depth-lat_bin field
input:
ds .. xr Dataset
ds.OHC_zonal_levels [J m^-2]
output:
trend .. xr DataArray containing trends of OHC [J m^-2 year^-1]
"""
assert 'OHC_zonal_levels' in ds
dn = ('TLAT_bins', 'z_t'... | 9e98a38a8683f0e11bda8322475ed168539d2be8 | 3,600,159 |
def ignore_unique(f, decorated_obj, args, kwargs):
"""
Ignores exceptions caused by unique constraints or
indexes in the wrapped function.
'ncm' = non class method (version)
"""
dbsess = _find_sa_sess(decorated_obj)
try:
return f(*args, **kwargs)
except Exception as ... | 312b60527b2672cfdf94b7b0a78cf471dea3651e | 3,600,160 |
def sell():
"""Sell shares of stock"""
if request.method == "POST":
# ensure symbol was submitted
if not request.form.get("symbol"):
return apology("must provide symbol", 403)
# ensure no. of shares was submitted
elif not request.form.get("shares"):
retu... | b83234407761942d0fb7ce74a83b75bcde4358b7 | 3,600,161 |
import imghdr
def detect_image_type(filename):
"""
获取图像文件类型
:param filename:
:return: jpge|png|gif|tiff等。失败返回None
"""
return imghdr.what(filename) | a4701aa60927e730899ed8036d6f2d875aa0524a | 3,600,162 |
from .motor_joint import Motor
def motor(shape1, speed=5):
"""Creates a constant rotation of the given shape around its
center point. The direction of rotation is controlled by the
sign of the speed. Positive speed is clockwise, negative speed
is counter-clockwise.
:param shape1: The shape to c... | 4ba4b2b2439ebadf7ffdb8e9b8ee7c35bc3e0ce4 | 3,600,163 |
def build_stream(df,h5,line, wftype, filt, freq_min, freq_max):
"""
Build the Streams from events data in counts saved in hdf5 files as np.array
line : integer, line number of the hdf5 File to plot
wftype : str, waveform type 'ev_c', 'ev_gm' or 'noise' for events in counts, events in ground motion unit... | f78c58179d80e00b0841fe3539eda920c92d096c | 3,600,165 |
def allowed_file(filename):
"""Checks if the extension of the given file is in ALLOWED_EXTENSIONS"""
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS | f9d0bf2d2f9f3155bb04a499f78828126046568a | 3,600,166 |
def english_to_french(english_text):
"""english to French translation"""
translation= language_translator.translate(text=english_text, model_id="en-fr").get_result()
french_text=translation['translations'][0]['translation']
return french_text | 141fbd5eeed94cd8ec612e6483a711d1c2e6630f | 3,600,167 |
def square_error(P, R, Γ, v):
"""Square error (SE), the combination of squared bias and the variance."""
bias = value_error(P, R, Γ, v)
variance = sobel_variance(P, R, Γ)
return variance + bias ** 2 | cb7e3b4cad6b23f50a7f51433146ac30085292d0 | 3,600,168 |
import copy
def build_sac_model(
policy: Policy,
obs_space: gym.spaces.Space,
action_space: gym.spaces.Space,
config: AlgorithmConfigDict,
) -> ModelV2:
"""Constructs the necessary ModelV2 for the Policy and returns it.
Args:
policy: The TFPolicy that will use the models.
obs_... | 4edf4947d472fe5c3e163ad9ac963f145cf7ac86 | 3,600,169 |
def multiscan_file(file):
"""Deprecated API - use one of the Clamd*Socket classes instead."""
return socketinst.multiscan_file(file) | c9d175d44ce2d6aa63c2533adc5a893ede035ac7 | 3,600,170 |
def update_ports_tree(ports_tree):
"""
Updates the ports tree, either the default or the `ports_tree` specified
CLI Example:
.. code-block:: bash
salt '*' poudriere.update_ports_tree staging
"""
_check_config_exists()
if ports_tree:
cmd = "poudriere ports -u -p {}".format(... | fc50e6209a6c53bde236d23f762614f0f7c69865 | 3,600,171 |
import numpy as np
import tensorflow as tf
import torch
import random
def apply_seed(seed=None):
"""Applies a global random seed to the application state.
In particular, the method seeds Python's random module and numpy, tensorflow and pytorch packages if available.
Arguments:
seed: Int|None, the ra... | f7f4a9bc87fbc156482491611b557299c44b73a4 | 3,600,172 |
from typing import List
from typing import Tuple
def calculate_coefficients(data_points: List[List[float]]) -> Tuple[int]:
"""Calculate coefficients for an approximate linear mapping of batch size to inference time.
Uses ordinary least squares to find the coefficients alpha and beta in the following:
inf... | 4ab279e3c72ab41b2273cf584a9c66b6a2de00e9 | 3,600,173 |
def news_review():
"""
需审核新闻页面显示
:return:
"""
page = request.args.get("page", 1)
keywords = request.args.get("keywords", "")
try:
page = int(page)
except Exception as e:
current_app.logger.error(e)
page = 1
news_list = []
current_page = 1
total_page ... | 792afdcdb8aea002bb6c1eb9e47d3dfbbaeac3d1 | 3,600,174 |
def format_link_mutation(mutationname: str, identifier_1: str, identifier_2: str):
"""Create a mutation with link between two identifiers to send to the Contributor Environment.
Arguments:
mutationname: the name of the mutation to generate
identifier_1: The unique identifier of the first object.... | f9cfe5fad253872312a60bebb372ca1c723231d3 | 3,600,175 |
def model_to_request_body(body_model, content_type, body_model_root_element=None):
"""
Convert a Python dict (body model) to XML or JSON
:param body_model: Model to be parsed. This model should have a root element.
:param content_type: Target representation (Content-Type header value)
:param body_mo... | 6d2310b8a35bb108bec6f43ad4bc4ba5d7ba0bb5 | 3,600,176 |
def _get_ext_net_obj(ctx, name):
"""Returns ExternalNetwork object."""
platform = _get_platform(ctx)
client = ctx.obj['client']
return ExternalNetwork(
client, resource=platform.get_external_network(name)) | 994a55c06e20271b5da6b95eb36dc54f225f6346 | 3,600,177 |
from typing import List
import torch
from typing import Tuple
def to_bi_tgt_out(
tokens: List[List[int]], device: torch.device
) -> Tuple[LongTensor, LongTensor]:
"""Generate bidirection tgt and out
Parameters
----------
tokens : List[List[int]]
indices: [b, l]
device : torch.device
... | c6440c7a7e8883275053e6686b735635252c9776 | 3,600,178 |
import json
def to_formatted_json(output):
"""Output is a single record"""
return f"{json.dumps(output, indent=4)}\n" | e437c8b34e510f6a72cc27ccb7b2a14c3f60e09d | 3,600,179 |
def _permutation_worker(k: int, items: list) -> list:
"""The kth Johnson-Trotter permutation of all items."""
n = len(items)
if n <= 1:
return items
else:
group = k // n
item = k % n
position = n - item - 1 if group % 2 == 0 else item
dummy = _permutation_worker(g... | c997721d2682a9bf54b42596b093956bc17cf94b | 3,600,180 |
def getCoeffs(airfoilCode, alphaDeg):
""" Calculates CL and CM at alphaDeg for NACA 4,5-digit airfoil """
if checkAirfoilType(airfoilCode) == 'NACA4':
th, x, y, dy = getNACA4(airfoilCode, _nPoints)
elif checkAirfoilType(airfoilCode) == 'NACA5':
th, x, y, dy = getNACA5(airfoilCode, _nPoints)
... | 3776fe4ae53724a86a5e13171d5e04b50c95e1a7 | 3,600,181 |
def matrix_vector_elementwise_multiply(data, multiplier, axis=None):
"""Elementwise multiply a matrix by a vector.
Parameters
----------
data : array-like, shape=[n_samples, n_features]
Input data
multiplier : array-like, shape=[n_samples, 1] or [1, n_features]
Vector by which to mu... | 7094d2a77875a1cebe3844fb7d35c6a0524edac5 | 3,600,182 |
def vectorize_abc(df):
"""
takes an abc string and returns the note vector and timing vector, split by bars
"""
abc_string = df['abc']
accs, mod = get_sharps_or_flats(df['mode'])
note_out = []
time_out = []
for bar in split_by_bar(abc_string):
note, time = vectorize_bar(bar, acc... | 10e26130f21c9ddab0397155f8ea5636bf5947b7 | 3,600,183 |
def update_config_value_by_config(config_to_update, config):
"""Update config_to_update according to config
Example:
Arguments:
config_to_update: {
"a": "b",
"c": {
"d": "e",
"f": "g",
},
}
... | f99366f7b434fa0c47bfc279cbd04d3b4e4d0af9 | 3,600,184 |
def tiny_vgg_p3(cfg, i=3, batch_norm=False):
"""This function is derived from torchvision VGG make_layers()
https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py"""
layers = []
in_channels = i
for v in cfg:
if v == 'M':
layers += [nn.MaxPool2d(kernel_size=2, str... | 7e2647a903fd57025f8888bc6a0d647fb2dc3ed2 | 3,600,185 |
def delete_versioned_object(connection, bucket_name, obj):
"""
Perform a delete on a versioned object, the requirements for these types
of requests is to be able to pass the ``versionID`` as a query argument
"""
# if obj.delete_marker is False we should not delete this and we shouldn't
# have be... | 2ab191efd907f814af505b52a6f2a571ef9df036 | 3,600,186 |
def list_attributes(msg_type):
"""List all attributes with type description of a GRPC Message class."""
return [(f.name, get_field_description(f))
for f in msg_type.fields] | 99cdcaa22672c129b3fd23ec17952a50cc755fbd | 3,600,187 |
import sqlite3
def create_connection(db_file):
""" create a database connection to the SQLite database
specified by db_file
"""
return sqlite3.connect(db_file) | 4f134ebcf1d6cac0905e7966717c53a51df9902d | 3,600,188 |
from typing import Tuple
from typing import Callable
def compose(*args: Tuple[Callable[[np.ndarray], np.ndarray]]) -> Callable[[np.ndarray], np.ndarray]:
"""composes given mappings
"""
assert len(args) > 0, 'Function compose requires at least one mapping as its parameter.'
def _t(x: np.ndarray) -> np... | fa5e0a559b3ca5d0b85e96c4cf113bfd537bd502 | 3,600,189 |
def dot(q1,q2):
"""
Dot product of two quaternions
>>> import qmathcore
>>> a = qmathcore.quaternion('1+2i-2k')
>>> b = qmathcore.quaternion('3-2i+8j')
>>> qmathcore.dot(a,b)
-1.0
"""
Q1 = quaternion(q1)
Q2 = quaternion(q2)
return np.dot(Q1.q,Q2.q) | fb6a69c5715e53a8875cb83356b5828d38656f00 | 3,600,190 |
from typing import Dict
def _results_data_row(row: Dict[str, str]):
"""
Transform the keys of each CSV row. If the CSV headers change,
this will make a single place to fix it.
"""
return {
"k": row["Key"],
"v": row["Content"],
} | 97dc7f9842d7e6a564cbe66fd93e3dbaeca08517 | 3,600,191 |
import random
def _trial_greedy_ssa_path_and_cost(r, inputs, output, size_dict, choose_fn, cost_fn):
"""A single, repeatable, greedy trial run. Returns ``ssa_path`` and cost.
"""
if r == 0:
# always start with the standard greedy approach
choose_fn = None
else:
random.seed(r)
... | c4dc7e311fe9bb377e548136d57c20a560ce06e2 | 3,600,192 |
def to_border_vtxfaces(components):
""" [pm]
"""
if not components:
return components
if isinstance(components, list):
pn = not is_string(components[0])
else:
pn = not is_string(components)
faces = to_face(components)
inner_vf = to_vtxface(faces)
border_vertices... | 149626d156721b16df4e721c4cfd6b73955cb092 | 3,600,193 |
import logging
def export_campaigns(api, assessment_id):
"""Add all the campaigns' data for an assessment to a list.
Args:
api (Gophish API): Connection to Gophish server via the API.
assessment_id (string): Assessment identifier to get campaigns from.
Returns:
List of the assess... | 69adc946cfc9dba1b4b87298fbbd0f9652d2b043 | 3,600,194 |
def build_cross_entropy_loss(logits, gold):
"""Constructs a cross entropy from logits and one-hot encoded gold labels.
Supports skipping rows where the gold label is the magic -1 value.
Args:
logits: float Tensor of scores.
gold: int Tensor of one-hot labels.
Returns:
cost, correct, total: the to... | 192c09d334f3c155c9b0f6e3b78358468de86bb8 | 3,600,195 |
def wilcoxon_sgned_rank(ds1, ds2, alpha=0.05):
""" is a non-parametric statistical hypothesis test used to compare two
related samples, matched samples, or repeated measurements on a single
sample to assess whether their population mean ranks differ
(i.e. it is a paired difference test).
"""
... | c455967fd915466761dc45517200779d5cecd0b1 | 3,600,196 |
def to_weight(df: pd.DataFrame, renorm=True):
"""
Converts molar quantities to mass quantities of the same order.
Parameters
-----------
df : :class:`pandas.DataFrame`
Dataframe to transform.
renorm : :class:`bool`, :code:`True`
Whether to renormalise the dataframe after convert... | e4c50667ca44e12767d501c07aff00eb7bdec59b | 3,600,198 |
def address_from_public_key(pubkey: bytes) -> str:
"""Extracts public key from an address
Ripple address is in format:
<1-byte ripple flag> <20-bytes account id> <4-bytes dSHA-256 checksum>
- 1-byte flag is 0x00 which is 'r' (Ripple uses its own base58 alphabet)
- 20-bytes account id is a ripemd16... | b8b56dce86239e270ea856c4a1ea75d1b9b305bd | 3,600,199 |
def uploadcomentario(request):
"""Essa função carrega o arquivo do cliente
É chamada pelo cliente(específico) enviar o
arquivo/comentario para o funcionário"""
context = {}
if request.method == "POST":
uploaded_file = request.FILES["document"]
fs = FileSystemStorage()
... | 04f701a73119f82fdc9e281e3c995dae8263b3fe | 3,600,201 |
from typing import Tuple
def spectrum_linear_fit( spec: Spectrum, wl_low: float = None, wl_high: float = None ) -> Tuple[ float, float ]:
"""
Applies a linear fit to a Specturm over the specified wavelength range. If no wl_ values are passed,
the entirely of the spectrum range is used.
Returns a... | ffd4ffb2f4e274e0a422ac4f7787d2606eb918ad | 3,600,203 |
def qats_prediction(poly_coeffs, order, lambda_values):
"""Quantum alchemy predictions using a nth-order Taylor series.
Parameters
----------
poly_coeffs : :obj:`numpy.ndarray`
Polynomial coefficients in increasing order (e.g., zeroth, first,
second, etc.).
order :obj:`int`
... | 7be48a28153827fd3beb4976583352099e356987 | 3,600,204 |
def is_odd(self, allow_rescaling_flag=True):
"""
Returns true iff after rescaling by some appropriate factor, the
form represents some odd integers. For more details, see parity().
Requires that Q is defined over `ZZ`.
EXAMPLES::
sage: Q = QuadraticForm(ZZ, 2, [1, 0, 1])
sage: Q.... | 3e9465a19c2ad91a024b8358d27693573c620d8d | 3,600,205 |
def _embedding_dimension_correlation(signal, dimension_seq, delay=1, **kwargs):
"""Return the Correlation Dimension (CD) for a all d in dimension_seq."""
CDs = np.zeros(len(dimension_seq))
for i, d in enumerate(dimension_seq):
CDs[i] = fractal_correlation(signal, dimension=d, delay=delay, **kwargs)[... | 1c12e8c4a2a0121d562b6ead93d27f1971e73417 | 3,600,206 |
def evaluate_body_part_of_response(body_combine_response, body, body_toggle):
""" Evaluate the body part of combine response """
tag = globe.config.body.non_priority_start + globe.config.body.non_priority_end
body_test_cases = []
if body_toggle == 'indexes':
body_test_cases = body_combine_respon... | 34faa27bea6bc27d9f8d7d757ea5dd76250e4d7c | 3,600,207 |
def find_related(item, item_type, related_type, address):
"""Returns a list of the entities of related_type which share a datastream with item"""
datastreams = related_datastreams(item['@iot.id'], item_type, address)
result = []
for related_datastream in datastreams:
related_result = get_entitie... | 9931812bf66330d5203bc9a1b06644811fc37f1e | 3,600,208 |
def getTasksets(config):
"""
Load task sets from xml
Return: list of names of task sets
"""
xml = etree.parse(config)
return [tag.attrib['name'] for tag in xml.findall('//tasks')] | b23269659471b9bec39495be36698bf868e24036 | 3,600,209 |
def do_eval(dataset=None, network=None, num_class=2, assessment_method="accuracy", load_checkpoint_path=""):
""" do eval """
if load_checkpoint_path == "":
raise ValueError("Finetune model missed, evaluation task must load finetune model!")
net_for_pretraining = network(albert_net_cfg, False, num_cl... | 29a0053d9e7f71ebd2afe831e98c426355361d0b | 3,600,210 |
import time
def query_view():
"""GET/POST HTTP handler for query route"""
if request.method == 'POST':
start = time.time()
query = request.form['query']
customer_id = request.form['customer-id']
page = int(request.form['page'])
df = services.run_query_to_df(customer_i... | d08e3bb7899bbdf858d7f210c4d3dd64ee0d594f | 3,600,211 |
def _construct_url(resource, action, params=None):
"""
Constructs rest of API url based on resource, action and parameters.
Multiple parameters must be a list.
Single parameters must be a single string
Internal usage
"""
final_url = '{}/{}'.format(resource, action)
if type(params) == ... | 38b85a4400e362887f965c0035b3a2b10e7ecce4 | 3,600,212 |
def _predict(model, data, proba=False, dtype=np.float32, **kwargs):
"""Inner predict routine.
Parameters
----------
model :
data : dask array of shape = [n_samples, n_features]
Input feature matrix.
proba : bool
Should method return results of predict_proba (proba == True) or pr... | 1fd2c86660c56bb148b15c407ced4c17e67a9990 | 3,600,213 |
def expm1(x):
"""!
@brief exponential - 1.0 helper
"""
return np.exp(x, dtype=np.longdouble) - 1.0 | bb4754a50891320ea1b7116604e5ff72422667e2 | 3,600,214 |
from typing import List
def _split_inputs(inputs: str, named_groups: dict) -> List[str]:
"""
Identify and split inputs for torch operations.
This assumes that no quotes, apostrophes, or braces show up in the operation string.
Currently, items in lists that are not within functions will be broken up in... | 5edc3c53fb9b7a19557504335eb04eb15dd3c932 | 3,600,215 |
def plot_chl(ax, val, zeta=None, v=None, num_levels=21, cmap=DIFF_r, title='', ssh_range=np.linspace(-0.05, 0.05, 11)):
"""
The function plots 2D data (originating from composites, e.g. surface chl) and configures the figure accordingly.
"""
# levels for ssh
levels = ssh_range
# init vmin and vmax
vmin, vmax = N... | f9266e8224d39ae9816a4f3304ed0ea64bf91f55 | 3,600,216 |
def autoenv_settings(prefix='AES'):
"""
Example with aes prefix and kwargs:
{
"mail.password": "1234567",
"mail.username": "marcelomoraes",
"mail.host": "smtp.pyramid.com"
}
environment: AES_MAIL_PASSWORD=foobar
:return {
"mail.password": ... | c36d6193b3db8f4b73e8a5e61df6599df470108a | 3,600,217 |
def get_analysis_file(filename: str) -> str:
"""
:param filename: The name of the file containing the source code.
:return: The expected name of the file containing the analysis.
"""
return filename.rsplit('.', 1)[0] + '.ll.cm' | 6a147b5bf69078dde81fdc72585907ece6c2f461 | 3,600,218 |
def fmt_type_name(data_type):
"""
Returns the JSDoc name for the given data type.
(Does not attempt to enumerate subtypes.)
"""
if is_user_defined_type(data_type):
return fmt_pascal('%s%s' % (data_type.namespace.name, data_type.name))
else:
fmted_type = _base_type_table.get(data_... | 947d676e20bd5f441a5c38394f46e9ab310b083c | 3,600,219 |
def mersenne_prime(n: int) -> int:
"""
Returns the nth Mersenne prime.
Conditions:
1) n > 0
:param n: natural number
:return: the nth Mersenne prime
"""
p = [2, 3, 5, 7, 13, 17, 19, 31, 61, 89, 107, 127, 521, 607, 1279, 2203, 2281,
3217, 4253, 4423, 9689, 9941, 11213, 19937... | b93d495a3f4fac750b9c817ba6b742c6600f6845 | 3,600,220 |
import sqlite3
def delete_user(lid: str) -> bool:
"""
从user_list移除监听对象(注意: 该函数不用于群订阅操作)
:param lid: 愿望单url中的lid, 可以为唯一标识一个Amazon账号开设的愿望单
"""
with sqlite3.connect(DB_PATH) as connection:
success = False
cursor = connection.cursor()
# 查看主表中是否已有记录
user_exist = cursor.e... | 6def29ce0526bf59687187e157b15e1e452f59f8 | 3,600,221 |
def load_schema(schema_path):
"""
"""
with open(schema_path) as yaml_file:
"""
Get the path of the CommonwWorkflowLanguage schema and return a list of DICT
"""
schema_list = ryaml.load(yaml_file, Loader=ryaml.Loader)
return schema_list | 9b24a34a5280892fa5c73e04f40bb6dbd03ae50b | 3,600,222 |
def cutoutbbox(image,psf,cat):
""" Get image cutout that covers that catalog of stars."""
ny,nx = image.shape
hpsfpix = psf.npix//2
xmin = np.min(cat['x'])
xmax = np.max(cat['x'])
ymin = np.min(cat['y'])
ymax = np.max(cat['y'])
xlo = np.maximum(int(np.round(xmin)-hpsfpix),0)
xhi... | fcb6e5889560d88a0b3745f9d185d30d2997374a | 3,600,223 |
def wsgi_xmlrpc_1(environ, start_response):
""" The main OpenERP WSGI handler."""
if environ['REQUEST_METHOD'] == 'POST' and environ['PATH_INFO'].startswith(XML_RPC_PATH_1):
length = int(environ['CONTENT_LENGTH'])
data = environ['wsgi.input'].read(length)
params, method = xmlrpclib.load... | d8703d2406e91553d0c78a22770c13038d15c192 | 3,600,225 |
def _prep_server_detail(compute_client, image_client, server):
"""Prepare the detailed server dict for printing
:param compute_client: a compute client instance
:param server: a Server resource
:rtype: a dict of server details
"""
info = server._info.copy()
server = utils.find_resource(com... | 04200ff1e0d28d358ebbc77c606091787cc062ee | 3,600,226 |
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