content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import requests
def _get_api_key(api_url: str, username: str, password: str, save: bool) -> str:
"""Get an RGD API Key for the given user from the server, and save it if requested."""
resp = requests.post(f'{api_url}/api-token-auth', {'username': username, 'password': password})
resp.raise_for_status()
... | c0adc024340310d2047d25c73772c530d17d81fe | 3,630,337 |
def fitness_func_large(vector):
""" returns a very large number for fitness"""
return 9999999999999999999 | 08e6f43c5f891fe7138dfc7b1d0809ba048bf070 | 3,630,338 |
def create_implicit_binary_heap(key_type=float):
"""Create an implicit (array-based) binary heap.
:param key_type: the key type
:type key_type: float, int or object
:returns: the heap
:rtype: :py:class:`.Heap`
"""
heap_type = _HeapType.HEAP_TYPE_BINARY_IMPLICIT
return _create_and_wrap_... | b598a8525b47e65a97578a69d40e22866cf65b4d | 3,630,339 |
def Prob_APD_select_v2(
fitness: list,
uncertainty: list,
vectors: "ReferenceVectors",
penalty_factor: float,
ideal: list = None,
):
"""Select individuals for mating on basis of Angle penalized distance.
Args:
fitness (list): Fitness of the current population.
... | a562c5908d6dab5ca231220dda1eec94f5020d86 | 3,630,340 |
def remove_prefix(s, pre):
"""
Remove prefix from the beginning of the string
Parameters:
----------
s : str
pre : str
Returns:
-------
s : str
string with "pre" removed from the beginning (if present)
"""
if pre and s.startswith(pre):
return s[len(pre):]
... | 6bae14cddd38fcfabfb0fadb9f4dbeaea81ff4ac | 3,630,342 |
def parseString(string, namespaces=True):
"""Parse a document from a string, returning the resulting
Document node.
"""
if namespaces:
builder = ExpatBuilderNS()
else:
builder = ExpatBuilder()
return builder.parseString(string) | bd1da0d0deddd1d09c92979587ffa69e83b54063 | 3,630,344 |
def prompt_present(nbwidget):
"""Check if an In prompt is present in the notebook."""
if WEBENGINE:
def callback(data):
global html
html = data
nbwidget.dom.toHtml(callback)
try:
return ' [ ]:' in html
except NameError:
re... | 9ee7aacf6ad03a22b3b4c002b121e8b61f3649b0 | 3,630,346 |
def _search_range(elem, session, query=None):
"""Perform a range search for DA, DT and TM elements with '-' in them.
Parameters
----------
elem : pydicom.dataelem.DataElement
The attribute to perform the search with.
session : sqlalchemy.orm.session.Session
The session we are using ... | 57ae970c8864f3c00b1df09d3d490a98f6fa82b3 | 3,630,347 |
def is_repo_user(repo_obj, username=None):
""" Return whether the user has some access in the provided repo. """
if username:
user = username
else:
if not authenticated():
return False
user = flask.g.fas_user.username
if is_admin():
return True
usergrps ... | 1692814dcdf967ce31a75d613958851a2ee9a8ad | 3,630,348 |
def block_distance(p1, p2):
"""
Returns the Block Distance of a particular point from rest of the points in dataset.
"""
distance = 0
for i in range(len(p1)-1):
distance += abs(p1[i]-p2[i])
return distance | 29d7febe0bd8fcdfc16cbc27c7f3490f265c9daf | 3,630,349 |
def display_profiles():
"""
Function that returns all save profiles
"""
return Passwords.display_profiles() | 162e5685ccb98c5b962737d2ee2866bc2dca0525 | 3,630,350 |
from contextlib import suppress
def mutate(
_data,
*args,
_keep="all",
_before=None,
_after=None,
**kwargs,
):
"""Adds new variables and preserves existing ones
The original API:
https://dplyr.tidyverse.org/reference/mutate.html
Args:
_data: A data frame
_keep... | d4af5ca1fa9cd423ac3ec036897703e9f636a725 | 3,630,351 |
def test_triangular_mesh():
"""An example of a cone, ie a non-regular mesh defined by its
triangles.
"""
n = 8
t = np.linspace(-np.pi, np.pi, n)
z = np.exp(1j * t)
x = z.real.copy()
y = z.imag.copy()
z = np.zeros_like(x)
triangles = [(0, i, i + 1) for i in range(1, n)]
x... | 4367786b129167223f64f04b989afb79fa536004 | 3,630,352 |
def pos_tag(tokenized_text):
"""
Averaged perceptron tagger from NLTK (originally from @honnibal)
"""
return pos_tag_sents([tokenized_text])[0] | 0405d3090d59260303c82eca46578878246f257d | 3,630,353 |
def cabbeling(SA, CT, p):
"""
Calculates the cabbeling coefficient of seawater with respect to
Conservative Temperature. This function uses the computationally-
efficient expression for specific volume in terms of SA, CT and p
(Roquet et al., 2015).
Parameters
----------
SA : array-lik... | 49ea1ce3485b5b4778702c12a17803ba7ef15de0 | 3,630,354 |
def _variant_to_dsl_helper(tokens) -> Variant:
"""Convert variant tokens to DSL objects.
:type tokens: ParseResult
"""
kind = tokens[KIND]
if kind == HGVS:
return Hgvs(tokens[HGVS])
if kind == GMOD:
concept = tokens[CONCEPT]
return GeneModification(
name=co... | bacb81138e0310a787e9f9d4fb490ad0a4215297 | 3,630,355 |
def remove_empty(df):
"""
Drop all rows and columns that are completely null.
Implementation is shamelessly copied from `StackOverflow`_.
.. _StackOverflow: https://stackoverflow.com/questions/38884538/python-pandas-find-all-rows-where-all-values-are-nan # noqa: E501
Functional usage example:
... | c2ea9fc13bfa57bc357a83c607bfe9ce9348fb2e | 3,630,356 |
from typing import Optional
def calculate_serving_size_weight(
weight: Optional[float], number_of_servings: Optional[float]
) -> Optional[float]:
"""
Given a weight (representing the total weight of the
component included in a recipe) and a number of servings
(how many servings of the component ar... | b22732a60f1f6000277861a615c78e785b4757bb | 3,630,357 |
def validate_positive(value):
"""Check if number is positive."""
if value is not None and value <= 0:
raise ValidationError(f'Expected a positive number, but got {value}')
return value | d4c84a8f8aa476af4e9169b25887f5e5344f22af | 3,630,358 |
import json
def start_game(player1, player2, symbols=("O", "X")):
"""Starts a command line tic tac toe game between 2 players (bot or human)"""
assert len(symbols) == 2, "`symbols` must have exactly 2 elements"
gstate = TicTacToe("_________", symbols=symbols)
with open(GAME_TREE_FILE, "r") as gt_fil... | 96e712b399596bd2373c35c4e46e283c7efd8317 | 3,630,361 |
def despike_l1b_array(data, dqf, filter_width=7):
"""
Despike SUVI L1b data and return a despiked `numpy.ndarray`.
Parameters
----------
data : `numpy.ndarray`
Array to despike.
dqf : `numpy.ndarray`
Data quality flags array.
filter_width: `int`, optional.
The filter... | 57c3b757856a1c030c245472445f51b33c576cd2 | 3,630,362 |
def scrape(query: str,
listing_age: int = None,
relevance: str = None,
job_type: list = None,
experience: list = None,
locations: list = ['Singapore'],
limit: int = None,
**kwargs):
"""
:param query: str
Job search query
:... | 493cd2efff208d49ca5ce0d05814a0f73c872846 | 3,630,363 |
def run_command(arguments, parse_stdout=True):
"""Run a command
Args:
A list with the arguments to execute. For example ['ls', 'foo']
Returns:
stdout, return status.
"""
try:
cmd = sp.Popen(arguments, stdout=sp.PIPE, stderr=sp.STDOUT)
stdout, _ = cmd.communicate()
... | a2183d8c588f0e749462c225e62183df46ac04b0 | 3,630,365 |
def format_key(key):
"""
Format the key provided for consistency.
"""
if key:
return key if key[-1] == "/" else key + "/"
return "/" | 8b5e41bb76c524ec8c45a22ad0dae84c84ed530b | 3,630,366 |
def get_random_parent_asset(instance_id: int, instance_start_id, instance_end_id) -> int:
"""
get random parent asset not linked to any child assets
:param instance_id: asset instance_id
"""
child_list = [instance_id]
child_list = get_child_assets_id(child_list, instance_id)
all_list = list... | 1f366ec08fdda6cfc8157bb6dc862a9700844409 | 3,630,367 |
def logout() -> Response:
"""API call: logout of the system."""
config = CorporaAuthConfig()
client = get_oauth_client(config)
params = {"returnTo": config.redirect_to_frontend, "client_id": config.client_id}
response = redirect(client.api_base_url + "/v2/logout?" + urlencode(params))
# remove t... | 2c9dd72d80ad4a8c27c9da508a932e7dca008ce7 | 3,630,368 |
import time
def elapsed_printer(func):
"""
**中文文档**
此包装器可以打印函数的输入参数, 以及运行时间。
"""
def _wrapper(*args, **kwargs):
print(">>> %s # Running ..." %
_text_of_func_args_and_kwargs(func, args, kwargs))
st = time.clock()
res = func(*args, **kwargs)
elapsed =... | 396289476d48e91185eae4f5e88691b2dd0756ec | 3,630,369 |
def get_init_fn():
"""Returns a function run by the chief worker to warm-start the training."""
checkpoint_exclude_scopes=["resnet_v1_101/logits","resnet_v1_101/fc","deconv32"]
exclusions = [scope.strip() for scope in checkpoint_exclude_scopes]
variables_to_restore = []
for var in slim.ge... | b6ca552c9d1b9cbe67e7cb9af16b8676c107124e | 3,630,370 |
def buildings_from_polygon(polygon, retain_invalid=False):
"""
Get building footprints within some polygon.
Parameters
----------
polygon : Polygon
retain_invalid : bool
if False discard any building footprints with an invalid geometry
Returns
-------
GeoDataFrame
"""
... | 85ecf11c5dfe6d717dffb52c80b1195138dfc556 | 3,630,371 |
from typing import Dict
def _define_problem_with_groups(problem: Dict) -> Dict:
"""
Checks if the user defined the 'groups' key in the problem dictionary.
If not, makes the 'groups' key equal to the variables names. In other
words, the number of groups will be equal to the number of variables, which
... | ab29954f3349509a9153219d040feb8fa3125ec7 | 3,630,372 |
def ljk(epsilon):
"""
Calculates ecliptic triad vectors with respect to BCRS-frame.
(Lindegren, SAG-LL-35, Eq.1)
:param epsilon: obliquity of the equator.
:return: np.array, np.array, np.array
"""
l = np.array([1,0,0])
j = np.array([0, np.cos(epsilon), np.sin(epsilon)])
k = np.arra... | 9e7d8ca724c9bfad11e561f5e6873b938b613341 | 3,630,373 |
def position_result_list(change_list):
"""
Returns a template which iters through the models and appends a new
position column.
"""
result = result_list(change_list)
# Remove sortable attributes
for x in range(0, len(result['result_headers'])):
result['result_headers'][x]['sorted'] ... | 5608857697c0d6ae46d3d34577f2b4002bacdc28 | 3,630,375 |
import re
def _build_regex(pattern):
"""Compile regex pattern turn comma-separated list into | in regex."""
compiled_pattern = None
if pattern:
# Trip ' " at the beginning and end
pattern = re.sub("(^\"|^\'|\"$|\'$)", "", pattern)
# Escape
pattern = re.sub("/", r"\/", pattern)
# Change "a,... | 7351f461a867b7c875749c6d88fdd5f2b26da496 | 3,630,376 |
def fpSub(rm, a, b, ctx=None):
"""Create a Z3 floating-point subtraction expression.
>>> s = FPSort(8, 24)
>>> rm = RNE()
>>> x = FP('x', s)
>>> y = FP('y', s)
>>> fpSub(rm, x, y)
fpSub(RNE(), x, y)
>>> fpSub(rm, x, y).sort()
FPSort(8, 24)
"""
return _mk_fp_bin(Z3_mk_fpa_sub... | 2513a4ee917d1e3a773a3637c519a85df28abd69 | 3,630,377 |
def reconstruct_contractility(simulation_folder, d_cyl, l_cyl, r_outer, scalef = 1000, scaleu = 1, scaleb = 1):
"""
Reconstruct the contractility of a given cylindric simulation. Also calculates residuum forces of Inclusion surface and matrix,
which shoould be equal (use to certify simulation and detect ... | f55369580d87e55061934149fad9598c5a29a1fe | 3,630,378 |
def categorical_sample(d):
"""Randomly sample a value from a discrete set based on provided probabilities.
Args:
d: A dictionary mapping choices to probabilities.
Returns:
One of the possible choices.
"""
choice_probs = list(d.items())
probs = [t[1] for t in choice_probs]
... | e99949ebc6d0314f3c2b791415af30c0fe6ed519 | 3,630,379 |
def gaspari_cohn_mid(z,c):
"""
Gaspari-Cohn correlation function for middle distances (between c and 2*c)
Arguments:
- z: Points to be evaluated
- c: Cutoff value
"""
return 1./12*(z/c)**5 - 0.5*(z/c)**4 + 5./8*(z/c)**3 \
+ 5./3*(z/c)**2 - 5*z/c - 2./3*c/z + 4 | 0852e84c1ce10856d69420fcc585054488591e73 | 3,630,380 |
import click
import concurrent
def put(local_file, remote_file, outmode, template, recursive, process):
"""
upload file
example:
pypssh -t 192.168.31.1 put /etc/yum.conf /etc/yum.conf
"""
def _progress(filename, size, sent, peername):
click.echo("(%s:%s) %s's progress: %.2f%% \r" %... | 699bd72c5349609513fdcb45ddd428ad6dfad684 | 3,630,381 |
def home_view(request):
"""
DESCRIPTION:
The only FBV to redirect to the original home_view
"""
# image = {'image': 'https://picsum.photos/1024/756'}
image = {}
return render(request, 'home.html', image) | 24d9602004b696610a69c6f38212db06d272a5c2 | 3,630,382 |
import time
import six
def hparams_pb(hparams, trial_id=None, start_time_secs=None):
# NOTE: Keep docs in sync with `hparams` above.
"""Create a summary encoding hyperparameter values for a single trial.
Args:
hparams: A `dict` mapping hyperparameters to the values used in this
trial. Keys ... | 835edf3b8e6a9def39cf33233215801948a20859 | 3,630,383 |
def create_agents(nagi, age_all, nr_infec, nr_immucmpr, nr_freeroam, nr_social):
"""
Creates the array of agents that will be used in the simulation
Parameters
----------
nagi : int
number of human agents that will be created.
age_all : numpy array of ints
distribution of the ag... | 23b0e92e281521dadcba47f8bfb5b2e8f5de2803 | 3,630,384 |
def get_top_level_data(end, start=20, get_fight_card_stats=False, both=True, avg_pause=.6):
"""
@param end: integer
@param start : integer
@param get_fight_card_stats :
@param both : boolean
@param avg_pause : float
"""
def add_d_set(df_use, name):
df = df_use.copy()
df... | 5d46f67d370b2c9c431f97f132338ca55edf609c | 3,630,385 |
def compute_normalization_binary_search(activations,
t,
num_iters = 10):
"""Returns the normalization value for each example (t < 1.0).
Args:
activations: A multi-dimensional array with last dimension `num_classes`.
t: Temperat... | 86859bf5834c791e1aa268784a1d353ba192551e | 3,630,386 |
from copy import deepcopy
def _match_units(filter_params, fps, fname):
"""
author: EM
The filtering thresholds must match the timeseries units. If the right
conversion is not possible, then check_ok is False, and the feature
summaries will not be calculated for this file.
"""
if filter_p... | de260a5570656c3c419c5df96ef6ad7bc75ff114 | 3,630,387 |
def squared_jumps(tracks, n_frames=1, start_frame=None, pixel_size_um=0.16,
pos_cols=["y", "x"]):
"""
Given a set of trajectories, return all of the the squared jumps
as an ndarray.
args
----
tracks : pandas.DataFrame. Must contain the "trajectory"
and "f... | 4fb75a9c4c65c8e8498156defbd4ea1ebfdd1c25 | 3,630,389 |
from typing import get_args
def main():
"""Change vowels of the text into the one selected ("a" as default)"""
args = get_args()
new_text = ''
for char in args.text:
if char in ['a','e','i','o','u']:
new_text = args.text.replace(char, args.vowel) ## doesn't work like this, l... | 638f00d93f53ac56ea6a6c4c1a1893a7abf8dfc3 | 3,630,390 |
def _mt_transpose_ ( self ) :
"""Transpose the graph:
>>> graph = ...
>>> graph_T = graph.transpose ()
>>> graph_T = graph.T() ## ditto
"""
new_graph = ROOT.TMultiGraph()
new_graph._graphs = []
_graphs = mgraph.GetListOfGraps()
for g in _graphs :
tg = g.T(... | 905936ee404551548fdd789489fdba9d9dcc8f3f | 3,630,391 |
import collections
def recursive_dictionary_update(d, u):
"""
Given two dictionaries, update the first one with new values provided by
the second. Works for nested dictionary sets.
:param d: First Dictionary, to base off of.
:param u: Second Dictionary, to provide updated values.
:return: Dic... | 7a040ee36d8d101ed3ce40f96c21c003c5410803 | 3,630,392 |
def uname(space):
""" uname() -> (sysname, nodename, release, version, machine)
Return a tuple identifying the current operating system.
"""
try:
r = os.uname()
except OSError, e:
raise wrap_oserror(space, e)
l_w = [space.wrap(i) for i in [r[0], r[1], r[2], r[3], r[4]]]
retu... | 40ba4d2178fd2701d1ebd07e45c88073efd046e3 | 3,630,393 |
def load_model(
model_path=filepath + "/trained_models/cmu/", model_file_name="model.h5"
):
"""
loads a pre-trained word boundary model
:return: Seq2Seq object
"""
model_path = (
filepath + "/trained_models/{}/".format(model_path)
if model_path in ["cmu"]
else model_path
... | 27e90f879dd06a840ff5fe4589fd0f98b9786ba1 | 3,630,394 |
def _tol_sweep(arr, tol=1e-15, orders=5):
"""
Find best tolerance 'around' tol to choose nonzero values of arr.
# Sweeps over tolerances +- 'orders' orders of magnitude around tol and picks the most
# stable one (one corresponding to the most repeated number of nonzero entries).
Parameters
---... | 6acfce610fe98f4a1aeb4e3417796dd56901f402 | 3,630,395 |
def test_coo_attr():
"""
Feature: Test COOTensor GetAttr in Graph and PyNative.
Description: Test COOTensor.indices, COOTensor.values, COOTensor.shape.
Expectation: Success.
"""
indices = Tensor([[0, 1], [1, 2]])
values = Tensor([1, 2], dtype=mstype.float32)
shape = (3, 4)
coo = COOT... | 17cccc6d45cd2c48d39279d7e7055224fdfb54ec | 3,630,396 |
def get_all_parties():
"""this gets all parties"""
if not app.api.routes.models.political.parties:
return Responses.not_found("No created parties yet"), 404
return Responses.complete_response(app.api.routes.models.political.parties), 200 | e212a15d5296bb9ba6e288a582e829d714bf225a | 3,630,398 |
def send(channel, apdu: list) -> bytes:
"""
Send APDU to the channel and return the data if there are no errors.
"""
data, sw1, sw2 = channel.transmit(apdu)
# success
if [sw1, sw2] == [0x90, 0x00]:
return bytes(data)
# signals that there is more data to read
elif sw1 == 0x61:
... | bb3a1e52b6fdb5480b23f0646e768a7f90500acd | 3,630,399 |
def root():
"""
Landing page for PaperScraper, takes user input and run parameters
"""
if request.method == "GET":
return render_template("root.html")
elif request.method == "POST":
error = None
source = None
try:
source = get_source(request.form)
... | 2af8b4247b51afb86c71e61199c7d622996cb112 | 3,630,400 |
from typing import Optional
def ArcSin(input_vertex: vertex_constructor_param_types, label: Optional[str]=None) -> Vertex:
"""
Takes the inverse sin of a vertex, Arcsin(vertex)
:param input_vertex: the vertex
"""
return Vertex(context.jvm_view().ArcSinVertex, label, cast_to_vertex(input_verte... | 68f80b459ae0b235463284cf8db237d3d15751a1 | 3,630,404 |
def LSFIR(H,N,tau,f,Fs,Wt=None):
""" Least-squares fit of a digital FIR filter to the reciprocal of a given frequency response.
Parameters
----------
H: np.ndarray
frequency response values
N: int
FIR filter order
tau: float
delay of filter
f: np.ndarray
frequencies
Fs: float
sampling frequ... | 025d3327b985eaf708a61f808e913256c91a911d | 3,630,405 |
import math
def DrawTextBar(value, max_value, max_width=53):
"""Return a simple ASCII bar graph, making sure it fits within max_width.
Args:
value: integer or float representing the value of this bar.
max_value: integer or float representing the largest bar.
max_width: How many characters this graph ... | 7f4b267527317cbceddadc9f7a0307f8ec430bb4 | 3,630,406 |
def dpAdvisorTime():
"""
runs dpAdvisor and measures the time required to compute an answer.
"""
res = {}
length = len(subjects)
start_time = time.time()
res = dpAdvisor(subjects, 24)
end_time = time.time()
total_time = end_time - start_time
print 'It took', total_time, 'to compu... | edd26cb9840de04ea3bca8504ab3a27f0dd4b93b | 3,630,407 |
import ctypes
def get_size(ctype, num, il_code):
"""Return ILValue representing total size of `num` objects of given ctype.
ctype - CType of object to count
num - Integral ILValue representing number of these objects
"""
long_num = set_type(num, ctypes.longint, il_code)
total = ILValue(ctype... | 14a405edb55a14ec408094c5d27995a4c0906ce2 | 3,630,410 |
def pe_17():
"""Sum the number of characters in the UK words representing the
integers from 1 to 1,000. Exclude dashes and spaces.
"""
total = 0
for number_word in range(1, 1001):
number_word = lpe.number_to_word(number_word)
number_word = number_word.replace('-', '')
number_... | fb55ff73072c50c6b272a2c7f9c9228d5c406b40 | 3,630,411 |
def metrics_detection(scores, labels, pos_label=1, max_fpr=FPR_MAX_PAUC, verbose=True):
"""
Wrapper function that calculates a bunch of performance metrics for anomaly detection.
:param scores: numpy array with the anomaly scores. Larger values correspond to higher probability of a
point... | 854c9a74518bdd09520a47173077bcd7865bef87 | 3,630,412 |
def bias_init(shape, name=None, constant=0.0):
"""Bias Initialization
Args:
shape : Shape of the variable
name : Name of the variable
constant: Value of constant to initialize
Returns:
Initialized bias tensor
"""
if name is None:
name = 'b'
b = tf.... | a9f9314a3ba896f036e6cd30c88951ec08bbeb68 | 3,630,413 |
def _FindBinmanNode(dtb):
"""Find the 'binman' node in the device tree
Args:
dtb: Fdt object to scan
Returns:
Node object of /binman node, or None if not found
"""
for node in dtb.GetRoot().subnodes:
if node.name == 'binman':
return node
return None | bf924d173a1adf81c1705ad1ea1fae490567a317 | 3,630,414 |
def replace_escape_chars(text, which_ones=('\n', '\t', '\r'), replace_by=u'', \
encoding=None):
"""Remove escape characters.
`which_ones` is a tuple of which escape characters we want to remove.
By default removes ``\\n``, ``\\t``, ``\\r``.
`replace_by` is the string to replace the escape char... | 3742e08ed8b657ce1f9379b4e751fae413c19786 | 3,630,415 |
def purge_report_from_mobile_ucr(report_config):
"""
Called when a report is deleted, this will remove any references to it in
mobile UCR modules.
"""
if not toggles.MOBILE_UCR.enabled(report_config.domain):
return False
did_purge_something = False
for app in get_apps_in_domain(repo... | cf9a744772514868a5e0c6a7ec890ca55ecaa82c | 3,630,416 |
def image_color_cluster(image, k=5):
"""
:param image(numpy array): 추출된 옷
:param k(int) : 군집화할 개수
:return c_list(list) : 각 색의 rgb 값이 담긴 리스트
:return p_list(list) : 각 색의 분포도가 담긴 리스트
"""
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
image = image.reshape((image.shape[0] * image.shape[1], 3... | d0fc166cd3465b9f26b4a7bd2e290b1565c77488 | 3,630,417 |
def _get_auth_service(app):
"""Returns an _AuthService instance for an App.
If the App already has an _AuthService associated with it, simply returns
it. Otherwise creates a new _AuthService, and adds it to the App before
returning it.
Args:
app: A Firebase App instance (or None to use the... | 75b6890fb8650e621bd3d668d8704b6c38a76807 | 3,630,418 |
def winner_distance(r1, r2, reverse=False):
""" Asymmetrical winner distance.
This distance is the rank of the winner of r1 in r2, normalized by the number of candidates.
(rank(r1 winner)) - 1 / (n - 1)
Assuming no ties.
Args:
r1: 1D vector representing a judge.
... | 4f8912165905360aeecd355c68da19a11adf3600 | 3,630,419 |
def make_list_accos():
"""Return the acco numbers as list
Returns:
list: List with acco numbers
"""
list_saharas= list(range(1,23))
list_kalaharis =list(range (637,656))
list_balis = list(range (621,627))
list_waikikis = list(range(627,637))
list_serengeti = list(range(659,668))... | 9f2ac7aa4f78588013160f94374e602832b61771 | 3,630,420 |
def load_manifest(url, version, manifest_name):
"""Download and parse manifest."""
manifest_raw = do_curl(f"{url}/{version}/Manifest.{manifest_name}")
manifest = {}
if not manifest_raw:
raise Exception(f"Unable to load manifest {manifest_name}")
try:
lines = manifest_raw.splitlines(... | f2eb6bb8a9fb3e86a7a87293873f32ae73e2ae62 | 3,630,421 |
from typing import List
def create_intrusion_set_from_name(
name: str,
author: Identity,
external_references: List[ExternalReference],
object_marking_refs: List[MarkingDefinition],
) -> IntrusionSet:
"""Create intrusion set with given name."""
aliases: List[str] = []
alias = name.replace(... | 9e545b78af90acf4ab7e9ab556bd0f66989b5f9a | 3,630,422 |
def _host_is_same(host1: str, host2: str) -> bool:
"""Check if host1 and host2 are the same."""
return host1.split(":")[0] == host2.split(":")[0] | 0bd9393786801d0f69d4982fc9f8edce378e9656 | 3,630,425 |
from typing import List
def check_chan_xt_three_bi(kline, bi_list: List[ChanObject]):
"""
获取指定3分笔得形态
（含有三笔）
:param kline: ctaLineBar对象
:param bi_list: 笔列表
:return:
"""
v = ChanSignals.Other.value
if len(bi_list) != 3:
return v
bi_1, bi_2, bi_3 = bi_list
# 最后一笔是下跌... | cf4e9b88abb604ff0646b6513a0cec62e15660dc | 3,630,426 |
def get_filter_type_choices():
"""
Get a tuple of filter types
:return: tuple with filter types
"""
return ('', 'Select one'), ('Filter Types', [('storlet', 'Storlet'), ('native', 'Native')]) | 21f4173b1aafa35b4c877d6f844349c2907932a8 | 3,630,427 |
from typing import Optional
def get_connected_devices() -> ConnectedDevices:
"""Returns Mbed Devices connected to host computer.
Connected devices which have been identified as Mbed Boards and also connected devices which are potentially
Mbed Boards (but not could not be identified in the database) are r... | cb9a3565c7b62f99858ed90e85dd9686c9db9e00 | 3,630,428 |
from typing import Union
from typing import Optional
def my_sqrt_with_local_types(x: Union[int, float]) -> float:
"""Computes the square root of x, using the Newton-Raphson method"""
approx: Optional[float] = None
guess: float = x / 2
while approx != guess:
approx = guess
guess = (appr... | 61263b7722ea6becc536e6ccac69063ded41aa92 | 3,630,429 |
def get_tempo(h5,songidx=0):
"""
Get release year from a HDF5 song file, by default the first song in it
"""
return h5.root.musicbrainz.songs.cols.tempo[songidx] | 155d690eb6773cbaf0d06e2cb83ea8976cb0f1d8 | 3,630,430 |
def boolstr(value):
"""Value to bool handling True/False strings."""
if isinstance(value, basestring):
if value.lower() == 'false':
return False
try:
value = float(value)
except ValueError:
pass
return bool(value) | ccfaa56e3f5694fad2f94ea53f90379890148181 | 3,630,431 |
import math
def round_half_up(n: float, decimals: float = 0) -> float:
"""This function rounds to the nearest integer number (e.g 2.4 becomes 2.0 and 2.6 becomes 3);
in case of tie, it rounds up (e.g. 1.5 becomes 2.0 and not 1.0)
Args:
n (float): number to round
decimals (int): number of ... | e0aab5cba456b4ffe6fab11a21b97fe4e17b045a | 3,630,432 |
from typing import Set
def _possible_edges(n1: Set, n2: Set, directed: bool, self_loops: bool = False):
"""Compute the number of possible edges between two sets."""
a = n1.intersection(n2)
e = (len(n1) - len(a)) * (len(n2) - len(a))
if directed:
e *= 2
if self_loops:
e += len(n1) +... | 4cf21d9521c3d071d7d1376bd917f2ec39435108 | 3,630,433 |
import math
def compute_backbone_shapes(config, image_shape):
"""Computes the width and height of each stage of the backbone network.
Returns:
[N, (height, width)]. Where N is the number of stages
"""
if callable(config.BACKBONE):
return config.COMPUTE_BACKBONE_SHAPE(image_shape)
... | 9af0a10393bf3297a1ac239682d493c0670fcbbd | 3,630,434 |
def coherency_phase_delay_bavg(time_series,lb=0,ub=None,csd_method=None):
"""
Band-averaged phase delay between time-series
Parameters
----------
time_series: float array
The time-series data
lb,ub : float, optional
Lower and upper bounds on the frequency range over which the ph... | 62b689d9513c94ab6ad411e485d4e5f3cb9ca125 | 3,630,435 |
def write_sale_table(
df: DataFrame, output_path: str, filename: str = "sale.csv",
) -> DataFrame:
"""
Extract a sale transaction (fact) table from the staging data and save it in the csv format.
Args:
df: Staging dataframe containing source data.
output_path: Path to where the resulting... | c567c2a929bbe2676e8ff544398954c0a2926d93 | 3,630,436 |
def is_equal_tf(x: tf.Tensor, y: tf.Tensor) -> bool:
"""return true if two tf tensors are nearly equal"""
x = tf.cast(x, dtype=tf.float32)
y = tf.cast(y, dtype=tf.float32)
return tf.reduce_max(tf.abs(x - y)).numpy() < EPS | f9816cc393689c14e20381f9b0b3651235d40eab | 3,630,437 |
from typing import List
def align_dtw_scale(
reference: Trace, *traces: Trace, radius: int = 1, fast: bool = True
) -> List[Trace]:
"""
Align :paramref:`~.align_correlation.traces` to the :paramref:`~.align_correlation.reference` trace.
Use fastdtw (Dynamic Time Warping) with scaling as per:
Jas... | 628e458ce88bebd6b2919fca35b9c4d5cc0782a1 | 3,630,438 |
import tensorflow as tf # wanted to circumvent this, but parsing the serialized data cleanly was difficult
import sqlite3
import collections
def load_stackoverflow_tff(cache_dir="~/data", user_idx=0, split="train"):
"""Load the tensorflow federated stackoverflow dataset into pytorch."""
if split == "validati... | 91c0defba1081c5871c20d09e2ad9e758617906f | 3,630,439 |
def format_string(current_size, total_length, elapsed_time):
"""
Consistent format to be displayed on the screen.
:param current_size: Number of finished object size
:param total_length: Total object size
:param elapsed_time: number of seconds passed since start
"""
n_to_mb = current_size /... | 8e9df1ede4bcc42aa97c46139453d677703e77dc | 3,630,440 |
import logging
def upload_file(src_local_path, dest_s3_path):
"""
upload file
:param src_local_path:
:param dest_s3_path:
:return:
"""
try:
with open(src_local_path, 'rb') as f:
s3.upload_fileobj(f, BUCKET_NAME, dest_s3_path)
except Exception as e:
logging.e... | bf4f324fc3246d50e41a956e5bed4c2888276dee | 3,630,442 |
import torch
def labels_from(distribution):
"""Takes a distribution tensor and returns a labels tensor."""
nclasses = distribution.shape[0]
llist = [[i] * n for i, n in zip(range(nclasses), distribution)]
# labels = [l for cl in llist for l in cl] # flatten the list of lists
labels = list(chain(*... | 7f1cc3fec0b3fe4f2cef963da40087e33c974996 | 3,630,443 |
def import_ham_dataset(dataset_root, outf, training=True):
"""
Returns dataset class instance for DataLoader. Downloads dataset if not present in dataset_root.
Args:
dataset_root (str): root directory of dataset.
outf (str): path to working directory.
training (bool): return trainin... | 1f9a659a1c13d862fbd32edad2e5ea03860bc3ad | 3,630,445 |
def truncatechars(value, arg):
"""
Truncates a string after a certain number of letters
Argument: Number of letters to truncate after
"""
def truncate_chars(s, num):
"Truncates a string after a certain number of letters."
length = int(num)
letters = [l for l in s]
if... | 1a1542504261fcf859edfac01048c8fa817a314b | 3,630,446 |
def default_category_orders() -> dict:
"""Returns the default dictionary of category orders"""
day_order = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
weekend_order = ["Weekday", "Weekend"]
season_order = ["Spring", "Summer", "Autumn", "Winter"]
month_order = [
"January",
"Febr... | 4110287bc30445f27c7c3d0c38cb662d769a5217 | 3,630,447 |
def argsort(seq, key=None, cmp=None, reverse=False):
"""Returns the indices corresponding to a sort of the given `seq`.
Can optionally pass in `cmp` and `reverse` just as you would to :func:`sorted()`.
"""
if not seq: return ()
ukey = key
iseq = sorted([(v, i) for i, v in enumerate(seq)], key=la... | eb56870506642928c35e434b2a859d8d4f0bf08a | 3,630,448 |
def new_category():
""" Add new category """
# Check if the user is loged in
if 'username' not in login_session:
return redirect('/login')
if request.method == 'POST':
# Get data from the front-end
name = request.form['name']
description = request.form['description']
... | 0c108ff1d9cf86ef072ed723c067d94b11b82ddd | 3,630,449 |
def create_densenet(hidden_units, idx_to_cat):
"""Create a flowernet model based on the Densenet-121 architecture.
Args:
hidden_units: The number of hidden units in the flowernet classifier.
idx_to_cat: A dictionary mapping the internal index numbers provided by
the classifier to ... | 86643b9ca3b85d1aa940917c8c0fbe8467100ee6 | 3,630,450 |
import tokenize
def cleanup_string(string, already_lowercase=False):
""" Do the following cleanup steps on the provided string:
1. Case Folding
2. Tokenization
3. Give it to cleanup_list()
"""
if not already_lowercase: # Case folding ... | 5e3dccec9306097c5e952f69d883a78507991779 | 3,630,452 |
def fscore(mesh1,
mesh2,
sample_count=100000,
tau=1e-04,
points1=None,
points2=None):
"""Computes the F-Score at tau between two meshes."""
points1, points2 = get_points(mesh1, mesh2, points1, points2, sample_count)
dist12, _ = pointcloud_neighbor_dista... | 07707b4ae58d3aa4f559ceb7f2b5f82c9d7fe8a7 | 3,630,453 |
def jsonp_ize(dep):
"""Parse dep as :term:`jsonp` (unless it has been modified with ``jsnop=False``). """
return modify(dep) if "/" in dep and type(dep) is str else dep | 0e5ff172a732a9319e7486a67cfd1db6520c8cf1 | 3,630,454 |
import re
def is_guid(techfin_tenant):
"""Validate guid arg
Args:
tenant (str): techfin tenant id
Returns:
bool: true if is valid guid value
"""
c = re.compile('[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}', re.I)
res = c.match(techfin_tenant)
r... | 7242f0da279375ab5873670ffef1fd4aa8749546 | 3,630,455 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.