content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def reorder_by_driver(driver, driven):
"""
Reorders timeseries of driver and driven variable by driver quicksort.
"""
idx_sort = np.argsort(driver, kind='quicksort')
driver = driver[idx_sort]
driven = driven[idx_sort]
return driver, driven | 772737c8918363dd6ce59eeb3c79474292d9c9a2 | 3,634,500 |
import os
def linux_sys_new():
""" """
path = None
# Some systems seem to have BAT1 but not BAT0, so use the first one we
# encounter.
for i in range(0, 4):
p = '/sys/class/power_supply/BAT{}'.format(i)
if os.path.exists(p):
path = p
break
if path is ... | fabc9d22b0415dc84057e04da3223ac44e747118 | 3,634,501 |
import uuid
def get_bucket_policy(s3bucket):
""" Gets S3 Bucket policy
:param s3bucket: S3 bucket to get the policy
:return: Bucket Policy Object
"""
s3_client = boto3.client('s3')
try:
bucket_policy = s3_client.get_bucket_policy(Bucket=s3bucket)
except:
bucket_policy = {u'... | 33a4f16df595b040b255ea73354d18719ccba8b5 | 3,634,502 |
def is_gregorian( y, m, d ):
"""
The `is_gregorian` function enables array input.
Documentation see the `_is_julian` function.
"""
years = np.array(y,ndmin=1)
months = np.array(m,ndmin=1)
days = np.array(d,ndmin=1)
years_count = np.size(years)
dim_check = ((years_count == np.size(mon... | 2e91330242cde9ef4a3483700d0a029a488e2bc5 | 3,634,503 |
import json
def parse(filename):
"""
Decode filename into an object
"""
template = None
template_lines = None
try:
(template, template_lines) = tf_plan_json.load(filename)
except tf_plan_json.JSONDecodeError:
pass
except json.decoder.JSONDecodeError:
# Most ... | d0dec4d63da1d8a92f6e025148ac69c6efde9234 | 3,634,504 |
def get_feature_dropping_corrections(bird_id='z007', session='day-2016-09-09', feat_type: str = 'pow', verbose=True):
""" Import the results of make_parameter_sweep
:param bird_id:
:param session:
:param verbose:
:return:
accuracy : ndarray, (bin_widths, offsets, num_folds, frequencies)
... | 1e7ee58c892673475369d0f6649cc42b96606f3a | 3,634,505 |
def build_pretraining_pipeline(
input_file,
output_dir,
output_suffix,
config,
dupe_factor,
min_num_rows,
min_num_columns,
num_random_table_bins = 1_000,
add_random_table = False,
num_corpus_bins = 1_000,
add_numeric_values = True,
):
"""Pipeline that maps interactions to T... | f8401afb557a7fdcfa9f69aa86e0c60f1807c44f | 3,634,506 |
import logging
def parse_arg_params(parser, upper_dirs=None):
""" parse all params
:param parser: object of parser
:param list(str) upper_dirs: list of keys in parameters
with item for which only the parent folder must exist
:return dict: parameters
"""
# SEE: https://docs.python.org/... | b770224cf54b7dc23896db88eb63d258c96b9da6 | 3,634,507 |
def rgb_to_hex_string(value):
"""Convert from an (R, G, B) tuple to a hex color.
:param value: The RGB value to convert
:type value: tuple
R, G and B should be in the range 0.0 - 1.0
"""
color = ''.join(['%02x' % x1 for x1 in [int(x * 255) for x in value]])
return '#%s' % color | 6449d5ecf8f3134ca320c784293d8ece44a84148 | 3,634,508 |
def view():
"""
This intercepts the /view URL get request. Displays the Page details for a application in a specific category.
It reads the query parameters given when passing in the URL
:return:
"""
application_category = request.args.get("show").upper()
result_data = application.get(sessi... | d2e62b12f2cc6e351d5b264a09c1c95a29f9baba | 3,634,509 |
def ancestors(G, x, G_reversed=None):
"""
Set of all ancestors of node in a graph, not including itself.
:param G: target graph
:param x: target node
:param G_reversed: you can supply graph with reversed edges for speedup
:return: set of ancestors
"""
if G_reversed is None:
G_rev... | 11a6930038807a677c3645d908a45b068c0f013b | 3,634,510 |
def range_to_list():
"""
This function is used to create an array of values from a dataset that's limits are given by a list lower and
upper limits. THIS IS CONFIGURED FOR MY COMPUTER, CHANGE THE DIRECTORY TO USE.
"""
dat1, filename1 = pick_dat(['t', 'm'], "RDAT_Test", "Select dataset to draw from")... | f4cd269f13a4580d43a4279a539d8b6a87a06683 | 3,634,511 |
def compute_a2b2(Q):
"""
Given the second moment matrix, compute a^2 and b^2
"""
Q11 = Q[0, 0]
Q22 = Q[1, 1]
Q12 = Q[0, 1]
a2t = 0.5 * (Q11 + Q22 + np.sqrt((Q11 - Q22) ** 2 + 4 * Q12 ** 2))
b2t = 0.5 * (Q11 + Q22 - np.sqrt((Q11 - Q22) ** 2 + 4 * Q12 ** 2))
a2, b2 = max(a2t, b2t), min... | 60d363066389d17a2d2bafa9b1c3733d884a7bcb | 3,634,512 |
import sys
import yaml
def configure_app(args):
""" configure the app, import swagger """
global application
# global beacon_api
global g2p_api
def function_resolver(operation_id):
"""Map the operation_id to the function in this class."""
if '.' in operation_id:
_, func... | 7894b86cfeff66b1fd3a48fd6468b593151c6a22 | 3,634,513 |
def GausCV(traj,sample):
"""
returns matrix of gaussian CV's
"""
#m=7 - good
m=10
pen=0.
x = np.linspace(-5,5,m)
y = np.linspace(-5,5,m)
sigma_squared = 3.0
xx, yy = np.meshgrid(x,y)
d = m**2
#print(xx)
mu = np.concatenate((xx.reshape((-1,1)),yy.reshape((-1,1))),axis... | d366b5bc94fb1fb3b3201e0e54eaed3336067776 | 3,634,514 |
def _rgb_to_hex_string(rgb: tuple) -> str:
"""Convert RGB tuple to hex string."""
def clamp(x):
return max(0, min(x, 255))
return "#{0:02x}{1:02x}{2:02x}".format(clamp(rgb[0]),
clamp(rgb[1]),
clamp(rgb[2])) | eafd166a67ac568cfad3da1fa16bdfcd054a914a | 3,634,515 |
import math
def update_one_contribute_score(user_total_click_num):
"""
itemcf update sim contribution score by user
"""
return 1/math.log10(1 + user_total_click_num) | b6dadc87150e33e1ba2d806e18856f10fd43035a | 3,634,516 |
def NewtonRaphson(F, J, X0, eps=1e-4, mxiter=100):
"""
Solve nonlinear system F=0 by Newton's method.
J is the Jacobian of F. Both F and J must be functions of x.
At input, x holds the start value. The iteration continues
until ||F|| < eps.
Required Arguments:
-------------------
F:... | f93858c5e540d67a8d78315705a6b199e2cba365 | 3,634,517 |
def export2tf2onnx(model_onnx, opset=None, verbose=True, name=None,
rename=False, autopep_options=None):
"""
Exports an ONNX model to the :epkg:`tensorflow-onnx` syntax.
:param model_onnx: string or ONNX graph
:param opset: opset to export to
(None to select the one from the ... | 3ef4234a3e7e86634db3d7178a006789f0cac9d9 | 3,634,518 |
def default_interest_payment_date():
"""
利払日オブジェクトのデフォルト値
"""
return {
f'interestPaymentDate{index}': '' for index in range(1, 13)
} | 77d51cd5c7c76347a5c53e3d816985eeac1a568b | 3,634,519 |
from datetime import datetime
def log_message_prefix_generator(log_level: str) -> str:
"""
Parameters
----------
text: log_level
log level
e.g. "INFO", "WARN", ...
Returns
----------
str
logger prefix
e.g.
"[2020-06-17 20:21:12] [INFO]"
"""
... | 3b573632a9fce77a555531043eb3be0c92a862d5 | 3,634,520 |
from typing import Collection
def delete_beatmap(request, collection_id, beatmap_entry_id):
"""View for delete beatmap entry"""
collection = get_object_or_404(Collection, id=collection_id)
beatmap_entry = get_object_or_404(BeatmapEntry, id=beatmap_entry_id, collection=collection)
if request.user != co... | ce894b94287efa0a4b779537bde4122b78bd3378 | 3,634,521 |
import requests
def interactors_form(path, name):
"""
Parse file and retrieve a summary associated with a token
:param path: Absolute path to file to be read with custom interactor
:param name: Name which identifies the sample
:return:
"""
headers = {
'accept': 'application/json... | e193f0d8e1b9cf1fadcf4fff2668a09f755dab41 | 3,634,522 |
def _parent(child):
"""
Given a toast tile, return the address of the parent,
as well as the corner of the parent that this tile occupies
Returns
-------
Pos, xcorner, ycorner
"""
parent = Pos(n=child.n - 1, x=child.x // 2, y=child.y // 2)
left = child.x % 2
top = child.y % 2
... | 918feb49611be02c3ae686cbb0f06bf089187e92 | 3,634,523 |
from typing import List
from typing import Dict
import json
def get_all_set_list(files_to_ignore: List[str]) -> List[Dict[str, str]]:
"""
This will create the SetList.json file
by getting the info from all the files in
the set_outputs folder and combining
them into the old v3 structure.
:param... | 2f13a73d9a07e9790d23f0e6d961b6f3d058949f | 3,634,524 |
def extinction_afterglow_galactic_dust_to_gas_ratio(time, lognh, factor=2.21, **kwargs):
"""
Extinction with afterglow models and a dust-to-gas ratio
:param time: time in observer frame in days
:param lognh: log10 hydrogen column density
:param factor: factor to convert nh to av i.e., av = nh/facto... | 1d1bd28482361e5efc666f0111270c2c15500a7c | 3,634,525 |
def get_md_module(force_field):
"""
Returns the specific interface module that is referenced by
force_field.
"""
if force_field.startswith('GROMACS'):
return gromacs
elif force_field.startswith('AMBER'):
return amber
elif force_field.startswith('NAMD'):
return namd
else:
raise ValueError... | c6cc1c082f98cce3150f5e22b5cf0a6c3d654dd1 | 3,634,526 |
def select_student(database):
"""
Query student
:param database: database name
:return: student
"""
conn = create_connection(database)
with conn:
cur = conn.cursor()
cur.execute("SELECT * FROM student")
student = cur.fetchone()
conn.commit()
return student | 8ab7f01d769af28df95bd3de62634cb7148d9829 | 3,634,527 |
import torch
import copy
def clones(module, N):
"""Produce N identical layers.
"""
return torch.nn.ModuleList([copy.deepcopy(module) for _ in range(N)]) | 2def7cf89def4d598253ca48cb04e670ecb54dfd | 3,634,528 |
import json
def validate_search_results(search_results):
"""
Expects a list of mongo objects
"""
if not search_results:
return json.dumps({"Result Count": 0, "Results": []})
final_objs = format_mongo_objs(search_results)
response = {"Result Count": len(final_objs),
"Re... | 9209cf534a6553b0f1a3354a68e833dc832dc62b | 3,634,529 |
def format_command_args(args):
"""Format a command by removing unwanted values
Restrict what we keep from the values sent (with a SET, HGET, LPUSH, ...):
- Skip binary content
- Truncate
"""
length = 0
out = []
for arg in args:
try:
if isinstance(arg, (binary_typ... | 2d79adce1f4ec466f2ffc56f93a8fade8421dca5 | 3,634,530 |
import unittest
def suite() -> TestSuite:
"""You need to change the name of the test class here also."""
testSuite: TestSuite = TestSuite()
# noinspection PyUnresolvedReferences
testSuite.addTest(unittest.makeSuite(TestCoordinates))
return testSuite | ba8c21072dd6ee178ca4070b21607e95bcef3d93 | 3,634,531 |
def flow_diffusion_ode(C, X, pars):
"""
Scott's master, p. 60. X is the new Y and Z is the new X.
"""
C_N = C[-1]
C_ = C[0] - pars["alpha"] * (C[0] - pars["Cg"]) * pars["dZ"]
C_up = np.append(C[1:], C_N)
C_down = np.append(C_, C[:-1])
d2CdZ2 = (C_up - 2 * C + C_down) * pars["1/dZ**2"]
... | 8c0af7a42c3821cc6735a0971555e624c30b693f | 3,634,532 |
import math
def bl2xy(lon: float, lat: float):
""" 大地2000,经纬度转平面坐标,3度带
Param:
lon (float): 经度
lat (float): 纬度
Returns:
(x , y) : x坐标对应经度,y坐标对应纬度
"""
# 3.1415926535898/180.0
iPI = 0.0174532925199433
# 3度带
zoneWide = 3
# 长半轴
a = 6378137
# 扁率
f = 1... | 4f2166d7878998da5373a4fa6aff5fcee6f32c61 | 3,634,533 |
import numpy
def process_image(obj, img, config, each_blob=None, care_about_ar=True):
"""
:param obj: Object we're tracking
:param img: Input image
:param config: Controls
:param each_blob: function, taking a SimpleCV.Blob as an argument, that is called for every candidate blob
:return: Mask w... | e0de830cb843d6644634b08e80ace4ec911d16c5 | 3,634,534 |
def szepes_ml(local_d):
"""maximum likelihood estimator from local FSA estimates (for k=1)
:param numpy.ndarray of float local_d: local FSA estimates
:return: global ML-FSA estimate
"""
return hmean(local_d) / np.log(2) | 00dd82e634f8606c7bbde24daf2fc1c64ac8492a | 3,634,535 |
import os
import distutils
def find_aapt():
"""Find the aapt (Android Asset Packaging Tool).
Returns:
Path to aapt if successful, empty string otherwise.
"""
# NOTE: This is far from perfect since this will pick up the first instance
# of aapt installed and not necessarily the newest version.
# Use t... | a2640fdc5f4e64207cb0f8450c583d4130e077c0 | 3,634,536 |
import math
def create_low_latency_conv_model(fingerprint_input, model_settings,
is_training):
"""Builds a convolutional model with low compute requirements.
This is roughly the network labeled as 'cnn-one-fstride4' in the
'Convolutional Neural Networks for Small-footprint Key... | 964be361d32e3b79e8909be4628ef6897f8d16e6 | 3,634,537 |
def sampling_from_enum_with_dirichlet_lm(enum_pool_dict_all, df_log2prob_by_syl, orig_seg_syl_df, lm_orig_dict, scale_num = 1000):
"""
get a sample lexicon with a orig language model
params:
@enum_pool_dict_all: enumerated words of all syllable lengths
(filtered to make sure that all words are ... | 94016dad1dc453ee217e57ade39f6478b670a9b5 | 3,634,538 |
def action_store(raw_val):
"""Auto type convert the value, if possible."""
if raw_val not in EMPTY_VALUES:
return auto_type_convert(raw_val)
else:
return raw_val | 3bed313c12f2a348cafd73111d3704c8c09198d9 | 3,634,539 |
def haversine_distance(coordinate: Point) -> float:
"""
Obtain the haversine distance between two cordinates points in the map
:param coordinate: shapely.geometry.point
:return: haversine distance in km:
"""
# MKAD coordinate
lat1, lon1 = 55.755826, 37.6173
# address coordi... | 6a730ec1afb9e5e131fd05be11176155c14a19b9 | 3,634,540 |
def route_home():
""" Renders the default page of the webserver, the leaderboard display"""
return render_template("home.html", data=leaderboard_manager.get_sorted_data()) | 94c44fb65615e40b67d1729d706e3e968434be71 | 3,634,541 |
def get_org_details(organization_id):
"""
Return the details for an organization
CLI Example:
.. code-block:: bash
salt-run digicert.get_org_details 34
Returns a dictionary with the org details, or with 'error' and 'status' keys.
"""
qdata = salt.utils.http.query(
"{}/or... | 4c19248b4ce0f6984e667924f481f914d8ba4fa8 | 3,634,542 |
def updatelimit():
"""Update sensorlimits."""
script_root()
print(request.form['id'])
print(request.form['value'])
#limit = SensorLimit.query.filter_by(id=request.form['id']).first()
#print(request.form['id'])
#print(limit)
#limit.value = request.form['value']
#db.session.commit(... | 46c67e995e642d84816e484017b22104b1867289 | 3,634,543 |
def trip_from_staging(conn, service, id_type = 'NUMERIC'):
"""Calculates the voronoi polygons for every active station in CitiBike and BayWheels
Parameters
----------
conn: psycopg2.extensions.connection
The connection to the database
service: str
The bike station service who... | cec99e09848f6fe828758960c5e53401a3f6116f | 3,634,544 |
def six_plot(ts, *plotargs, **plotkwds):
""" Output a matplotlib figure with full spectra, absorbance, area and
stripchart. Figure should be plotly convertable through py.iplot_mpl(fig)
assuming one is signed in to plotly through py.sign_in(user, apikey).
Parameters
-----------
title : st... | 4977eb62f7cc72c50599f5c5e64383b79881ef3f | 3,634,545 |
def woodbury_solve(vector, low_rank_mat, woodbury_factor, shift):
"""
Solves the system of equations: :math:`(sigma*I + VV')x = b`
Using the Woodbury formula.
Input:
- vector (size n) - right hand side vector b to solve with.
- woodbury_factor (k x n) - The result of calling woodbury_fa... | 92b25fe675671408c560008e4093c1e4b35d3c42 | 3,634,546 |
import os
def create_callbacks(model, data, ARGS):
"""At the end of each epoch, determine various callback statistics (e.g. ROC-AUC)
:param model: Keras model
:type model: :class:`tensorflow.keras.Model`
:param data: Validation data - data sequences (codes, visits, numeric values) and classifier.
... | 9a6075958dd2cb668de8228e139b42e3f0beaa16 | 3,634,547 |
from typing import Dict
from datetime import datetime
import decimal
import socket
def nxlog_callback(ch, method, properties, body):
"""
Callback on consumed message
:param ch: consuming channel
:param method:
:param properties:
:param body: message from queue
:return:
"""
def nx... | f0199302b3e8f63ec3e6f6be0a9dc680954cfcc9 | 3,634,548 |
def get_user_by_email(email, create_pending=False):
"""finds a user based on his email address.
:param email: The email address of the user.
:param create_pending: If True, this function searches for external
users and creates a new pending User in case
... | 668230ec815c42ac48dfaffd8c79d9d8d9032fca | 3,634,549 |
def get_offset_from_var(var):
"""
Helper for get_variable_sizes)_
Use this to calculate var offset.
e.g. var_90, __saved_edi --> 144, -1
"""
instance = False
i=0
# Parse string
i = var.rfind(' ')+1
tmp = var[i:-1]
# Parse var
if tmp[0] == 'v':
tmp = tmp[4:]... | 6cf58d6dc2ffcb7a78d98ed83c2dbcf05933af76 | 3,634,550 |
def build_scoring_matrix(alphabet, diag_score, off_diag_score, dash_score):
"""
Takes as input a set of characters alphabet
and three scores diag_score, off_diag_score,
and dash_score. The function returns a dictionary
of dictionaries whose entries are indexed by pairs
of characters in alphabet plus '-'... | 703c3ef7fb6899a46a26d55dae740705b6953adb | 3,634,551 |
def _foldl_jax(fn, elems, initializer=None, parallel_iterations=10, # pylint: disable=unused-argument
back_prop=True, swap_memory=False, name=None): # pylint: disable=unused-argument
"""tf.foldl, in JAX."""
if initializer is None:
initializer = nest.map_structure(lambda el: el[0], elems)
el... | 1f876a90c25d52f52b9d0315670d68f1d58e9791 | 3,634,552 |
def MAD(a, c=0.6745, axis=None):
"""
Median Absolute Deviation along given axis of an array:
median(abs(a - median(a))) / c
c = 0.6745 is the constant to convert from MAD to std; it is used by
default
"""
a = ma.masked_where(a!=a, a)
if a.ndim == 1:
d = ma.median(a)
m... | 39762026de548a077ccb4c599ad540a04d6c508e | 3,634,553 |
import json
def save_browser_tree_state():
"""Save the browser tree state."""
data = request.form if request.form else request.data.decode('utf-8')
old_data = get_setting('browser_tree_state')
if old_data and old_data != 'null':
if data:
data = json.loads(data)
old_data =... | 6bdc8abc6c2189a6329f42f3df63f93c20aa9794 | 3,634,554 |
def prompt_yes_no(msg, default=False):
"""Prints the given message and continually prompts the user until they
answer yes or no. Returns true if the answer was yes, false otherwise."""
default_str = "no"
if default:
default_str = "yes"
result = prompt_w_default(msg, default_str, "^(Yes|yes|... | e42eb8e41c9251d0c5b046d445a6519b694cde4c | 3,634,555 |
def persistence_distance(
x: np.ndarray,
y: np.ndarray,
dimension: int=0,
persistence_feature: str="persistence_landscape"
) -> float:
"""Distances are euclidean on persistence features.
Args:
x: First datset.
y: Second dataset.
dimension: Dimension for persistence diagr... | 17f9242ae56ed1ff12111d17da3359060aaec963 | 3,634,556 |
import os
def get_user_pysit_path():
""" Returns the full path to the users .pysit directory and creates it if
it does not exist."""
path = os.path.join(os.path.expanduser('~'), '.pysit')
if not os.path.isdir(path):
os.mkdir(path)
return path | a37f762642ce986dbf3d488bcf5760512d5a0b6c | 3,634,557 |
def plot_pit_qq(pdf_ens, ztrue, qbins=101, title=None, code=None,
show_pit=True, show_qq=True,
pit_out_rate=None, outdir="", savefig=False) -> str:
"""Quantile-quantile plot
Ancillary function to be used by class Metrics.
Parameters
----------
pit: `PIT` object
... | 565aa0f3e4920f2e4e7340081d46a58647386b79 | 3,634,558 |
def rel_mole_weight(ion, ion_num, oxy_num):
"""
Calculating Relative Molecular Weight
:param ion: Each cation
:param ion_num: Number of cations per cation
:param oxy_num: The number of oxygen atoms corresponding to each cation
:return: Relative molecular weight
"""
ion_dict = {'Si':28.0... | c1d38209fb5468cac693bc90cfb333afff43100b | 3,634,559 |
def get_admin_token(chat_id):
"""
Get a administrador chat_id
"""
session = Session()
admin = session.query(Admin).\
filter_by(
chat_id=chat_id).first()
session.close()
if admin:
return admin.token
else:
return None | dca8be42237f62fc6336cb3d22637d2406aedfc6 | 3,634,560 |
import os
def _get_vocab(name: str):
"""Retrieve model configuration.
Arguments:
----------
name {str} -- Name of the model.
Raises:
-------
FileNotFoundError: No vocab file provided with model.
ValueError: Bad name or unavailable model.
Returns:
--------
... | 606cb864323cd3ace8a7c5b241fe74a8573a9e91 | 3,634,561 |
import os
def filter_directory(directory: str, extension: str = '.py') -> str:
"""
Delete all files within the given directory with filenames not ending in the given extension
"""
for root, dirs, files in os.walk(directory):
[os.remove(os.path.join(root, fi)) for fi in file... | e0ad4853c6ca8c2337dbd3c7b9901c7e6e9ce6a4 | 3,634,562 |
from typing import List
import os
def get_batches_for_prefix(gcs_client: storage.Client,
prefix_path: str,
ignore_subprefix="_config/",
ignore_file=SUCCESS_FILENAME) -> List[List[str]]:
"""
This function creates batches of GCS ur... | 172838ea9cd92f008eba453dbf45b13a569499b9 | 3,634,563 |
import collections
import string
def index_of_coincidence(text):
"""Index of coincidence of a string. This is low for random text,
higher for natural langauge.
"""
stext = sanitise(text)
counts = collections.Counter(stext)
denom = len(stext) * (len(text) - 1) / 26
return (
sum(max... | a8a5e0f50dab24c3f3be525f30b6c5c5112a8a48 | 3,634,564 |
def get_allocations(jm_id:str) -> dict:
"""
Get Allocations
Get project allocations for user currently connected to remote system.
Parameters
----------
jm_id : str
ID of Job Manager instance.
Returns
------
allocations : dictionary
Dictionary containing informatio... | d3ad268b7f56bd48d51b1d150644e39ee6e8b7f3 | 3,634,565 |
import struct
def set_real(bytearray_: bytearray, byte_index: int, real) -> bytearray:
"""Set Real value
Notes:
Datatype `real` is represented in 4 bytes in the PLC.
The packed representation uses the `IEEE 754 binary32`.
Args:
bytearray_: buffer to write to.
byte_index: ... | bda32caab27adeae7c6710d4c26743b93533ccff | 3,634,566 |
def LogNormalAddLoc(builder, loc):
"""This method is deprecated. Please switch to AddLoc."""
return AddLoc(builder, loc) | 761522963da65b2ab05e4a687cad3ea44ebe3d1d | 3,634,567 |
def newton_raphson(x, y):
"""
The implementation of the `Newton-Raphson <https://en.wikipedia.org/wiki/Newton%27s_method>`_ optimization
procedure.
It fits the knee curve :math:`f(x)` to the :math:`y` s of the corresponding :math:`x` s by tweaking the shape
parameter :math:`c` from an initial guess.... | 6038effed89df29275123811f837f3d3e0f286a7 | 3,634,568 |
def _vx_no_BRST_check_massive_pp_zero(nhel, nsvahl):
"""
Parameters
----------
nhel: tf.Tensor, boson helicity of shape=()
nsvahl: tf.Tensor, helicity times particle|anti-particle absolute value
of shape=()
Returns
-------
tf.Tensor, of shape=(None,4) and dty... | bbe3fe72786f7944263254092da82d062310e10c | 3,634,569 |
def rst2node(data, env):
"""Converts a reStructuredText into its node"""
if not data:
return
parser = docutils.parsers.rst.Parser()
document = docutils.utils.new_document("<>")
document.settings = docutils.frontend.OptionParser().get_default_values()
document.settings.tab_width = 4
d... | 7ab3f8f80860a73e35cfb8ae2f1421c4b8a09533 | 3,634,570 |
def current_branch():
"""
Return the current branch
"""
return f'{REPO.active_branch}' | c995896fbde35b2d07a06139efb8fc9bc72dd667 | 3,634,571 |
from datetime import datetime
import hashlib
def _create_config_txn(pubkey, signing_key, setting_key_value):
"""Creates an individual sawtooth_config transaction for the given key and
value.
"""
setting_key = setting_key_value[0]
setting_value = setting_key_value[1]
nonce = str(datetime.dateti... | 5a4057657dc41c6403983d9ecded8b7194c5989e | 3,634,572 |
def round_unit(x, unit):
""" 按特定单位量对x取倍率
round_int偏向于工程代码简化，round_unit偏向算法，功能不太一样，所以分组不同
Args:
x: 原值
unit: 单位量
Returns: 新值，是unit的整数倍
>>> round_unit(1.2, 0.5)
1.0
>>> round_unit(1.6, 0.5)
1.5
>>> round_unit(7, 5)
5
>>> round_unit(13, 5)
15
"""
r... | b59f5f74fbf4622d1fa5b3fd7af6386b39eac784 | 3,634,573 |
import os
import io
def read(*paths):
"""Read a text file."""
basedir = os.path.dirname(__file__)
full_path = os.path.join(basedir, *paths)
contents = io.open(full_path, encoding='utf-8').read().strip()
return contents | 30b2310917a8b3f42fed6ab27dca2c087db02436 | 3,634,574 |
def centroid_1D(image, xpeak, xhw, debug=False):
"""
Fine location of the target by calculating the centroid for
the region centered on the brightest checkbox.
Performs the centroid calculation on the checkbox region
calculated using the function checkbox_1D().
Keyword arguments:
... | 49d8c3054c62bc00e96e028a17d7c662ef0b7066 | 3,634,575 |
import typing
import json
async def async_get_preference(connection, key: PreferenceKey) -> typing.Union[None, typing.Any]:
"""
Gets a preference by key.
:param key: The preference key, from the `PreferenceKey` enum.
:returns: An object with the preferences value, or `None` if unset and no default ex... | 4c3c5d4ee71d0e7dc85b7ef85075137dd639ee25 | 3,634,576 |
def index():
"""
View function for the index page.
"""
user: User = current_user
return \
"<div>" +\
f"<a href=\"{url_for('auth.logout')}\">Log out</a>" +\
f"<h1>Welcome {str(user)}</h1>" +\
"</div>" | 161d6bf4968bd3bed65d81470e33fff45a101329 | 3,634,577 |
import socket
def wait_for_socket(hostname, port):
# TODO: upstream this modified version into flocker (it was copied from
# flocker.acceptance.test_api)
"""
Wait until remote TCP socket is available.
:param str hostname: The host where the remote service is running.
:return Deferred: Fires ... | d62c0f3ecb253fa3bdd5794f85171fb3fc794ad9 | 3,634,578 |
import typing
def format_event_pull_request(data: typing.Dict[str, typing.Any]) -> str:
"""
Format a GitHub pull_request event into a string.
"""
resp = f"{format_author(data['sender'])} "
description = f"{format_issue_or_pr(data['pull_request'])} in {format_repo(data['repository'])}"
if data[... | 1c5dad5c4ca0218b14c46da6abc0615dbe7f8b6b | 3,634,579 |
import math
def project_gdf(gdf, to_crs=None, to_latlong=False):
"""
lovingly copied from OSMNX <https://github.com/gboeing/osmnx/blob/master/osmnx/projection.py>
Project a GeoDataFrame to the UTM zone appropriate for its geometries'
centroid.
The simple calculation in this function works well fo... | 984d3f4cdfdaec434ffc1049d189e0e7532afeae | 3,634,580 |
import pathlib
import glob
import shutil
import sys
def _HadoopMovePartFile(local_path, file_extension: str):
"""
Internal function moving the single part file from a hadoop path
to the local path
Args:
local_path: the local path where to export
file_extension: the file extension whic... | c236aa7c154296cf178255a913da57fdd4d65904 | 3,634,581 |
def get_shape(obj):
"""
Get the shape of a :code:'numpy.ndarray' or of a nested list.
Parameters(obj):
obj: The object of which to determine the shape.
Returns:
A tuple describing the shape of the :code:`ndarray` or the
nested list or :code:`(1,)`` if obj is not an instance of ... | d02d755f4b9e4a4dbde6c87ddfe0b5729a8c158e | 3,634,582 |
import builtins
def help_ui_check_answer(capsys, r_input):
"""a function to calculate an equation from a combination
of four numbers to get 24"""
final_result = ''
with mock.patch.object(builtins, 'input', lambda _: r_input):
g_c.ui_check_answer()
out, err = capsys.readouterr()
... | 1cae7d98ef1a87c4a53416f44d5c49312fced197 | 3,634,583 |
import collections
def precision_recall(classifier, testfeats):
""" computes precision and recall of a classifier """
refsets = collections.defaultdict(set)
testsets = collections.defaultdict(set)
for i, (feats, label) in enumerate(testfeats):
refsets[label].add(i)
observed = classif... | 97a76fe595b26a9a5a307e799659fb96f1642941 | 3,634,584 |
import logging
def set_power_state_xavier(power_state: XavierPowerState) -> None:
"""Record the current power state and set power limit using nvpmodel."""
# Set power limit to the specified value
if is_xavier_agx():
platform = "xavier_agx"
elif is_xavier_nx():
platform = "xavier_nx"
... | 8b843acfff292b61dccf8ebc6433cb04446e5a7e | 3,634,585 |
from typing import Any
from typing import List
def as_list(x: Any) -> List[Any]:
"""Wrap argument into a list if it is not iterable.
:param x: a (potential) singleton to wrap in a list.
:returns: [x] if x is not iterable and x if it is.
"""
# don't treat strings as iterables.
if isinstance(x, ... | 4b1b26857d209a9f5b142908e3a35b1ce7b05be4 | 3,634,586 |
def _sort_destinations(destinations):
"""
Takes a list of destination tuples and returns the same list,
sorted in order of the jumps.
"""
results = []
on_val = 0
for dest in destinations:
if len(results) == 0:
results.append(dest)
else:
while on_val <... | 302480ef09f4b5a402a5c568c5d35d717db8c851 | 3,634,587 |
def Q8():
"""
Return the matroid `Q_8`, represented as circuit closures.
The matroid `Q_8` is a 8-element matroid of rank-4.
It is a smallest non-representable matroid. See [Oxl2011]_, p. 647.
EXAMPLES::
sage: from sage.matroids.advanced import setprint
sage: M = matroids.named_ma... | 469ca05d13655ee19618dd9ffa3001c0792982ac | 3,634,588 |
import re
def remove_url(text):
"""
Supprime les URLs
:param text: texte à transformer
:return: texte transformé
"""
return re.sub(r'http\S+', '', text) | d0f3716808863d5e868da1efc4a7bb16ffa47ac1 | 3,634,589 |
def T_sun(a: float, m2_over_m1: float) -> float:
"""
T = 2 * pi * sqrt(a^3) / (K * sqrt(1 + m2/m1))
:param a: semi-major axis
:type a: float
:param m2_over_m1: m2 / m1
:type m2_over_m1: float
:return: translation period
:rtype: float
"""
return 2 * np.pi * np.sqrt(a * a * a / m... | 6b88aba027a57a6a2b1d66bd7accdcde75d5f20d | 3,634,590 |
def deleteDuplicates(head: ListNode) -> ListNode:
"""解法：重点已排序"""
if not head or not head.next: return head
pre, ptr =head, head.next
while pre and ptr:
if pre.val == ptr.val:
pre.next = ptr.next
ptr = pre.next
else:
pre = ptr
ptr = ptr.next... | 09ac88103f9fb4ef85550ab201e0b05e1dd96dca | 3,634,591 |
def predict_spectrum(svrs, X_, mask=None, scaler=None):
""" predict a single spectrum given a list of svrs & mask
Parameters
----------
svrs : list
a list of svr objects
X_ : ndarray
the labels of predicted spectra
mask : None | bool array
predict the pixels where mask==... | 49bc83c6f9a5bce2bdadc6a8b72313c95ab89c85 | 3,634,592 |
def _type_operand():
"""
Parser for argument of a binary type operation.
"""
return binder_type() | agda_vars() | 308b95cdd5378d7347ec4dd583ce387776e178cd | 3,634,593 |
def kernel(process):
"""
Get the kernel id from a process
"""
for arg in process.cmdline():
if arg.endswith('.json') and '/kernel-' in arg:
return splitext(basename(arg).replace('kernel-', ''))[0] | 27e1235cf47bbb6c4db6f1853d51b2710a913212 | 3,634,594 |
import json
def debug_status(status, error) -> str:
"""Return a debug string for the autoscaler."""
if not status:
status = "No cluster status."
else:
status = status.decode("utf-8")
as_dict = json.loads(status)
lm_summary = LoadMetricsSummary(**as_dict["load_metrics_report... | 579fa8aba2a62f7dcd44a09343060e033aa552b9 | 3,634,595 |
def solve_ciknock(
Sigma, tol=1e-5, num_iter=10,
):
"""
Computes S-matrix used to generate conditional independence
knockoffs.
Parameters
----------
Sigma : np.ndarray
``(p, p)``-shaped covariance matrix of X
tol : float
Minimum permissible eigenvalue of 2Sigma - S and S... | bf4183a3c7a0660d0f99bab27d83213e67892bc6 | 3,634,596 |
def main(request):
"""
Main view. Just shows the status of repos, with open prs, as
well as a short list of recent jobs.
Input:
request: django.http.HttpRequest
Return:
django.http.HttpResponse based object
"""
limit = 30
repos, evs_info, default = get_user_repos_info(request... | 4c9cdffeca6eaf0494c82bc834cf872ef67086aa | 3,634,597 |
def is_match(text, full_hashed_value, **options):
"""
gets a value indicating that given text's hash is identical to given full hashed value.
:param str text: text to be hashed.
:param str full_hashed_value: full hashed value to compare with.
:rtype: bool
"""
return get_component(HashingP... | fbafabe38626c5e189827c984d0c7af970623460 | 3,634,598 |
def remove_metrics(metrics_in, metric_collection, reduced_set=False, portraitplot=False):
"""
Removes some metrics from given list
Inputs:
------
:param metrics_in: list of string
List of metrics.
:param metric_collection: string
Name of a metric collection.
**Optional argum... | 2c7c26a1dfcb9d58ac095caf76e618d52b761eca | 3,634,599 |
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